stacked_model_by_zone.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The stacked model by blade zones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import re\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "from sklearn import preprocessing\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.model_selection import KFold, GroupKFold, train_test_split\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "from sklearn.utils import resample\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "from math import sqrt\n",
    "\n",
    "from sklearn.ensemble import AdaBoostRegressor, RandomForestRegressor\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from lightgbm import LGBMRegressor\n",
    "from catboost import CatBoostRegressor\n",
    "import xgboost as xgb\n",
    "\n",
    "import pickle\n",
    "\n",
    "matplotlib.rcParams['axes.labelsize'] = 14\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Notice:__ In `sklearn` Polynomial Regression is defined indirectly.\n",
    "First, you have to obtain polynomial features to linearaze data and then fit with vanilla `LinearRegression`\n",
    "```python\n",
    "poly_reg = PolynomialFeatures(degree=3)\n",
    "X_poly = poly_reg.fit_transform(X_train)\n",
    "pol_reg = LinearRegression()\n",
    "pol_reg.fit(X_poly, y_train)\n",
    "```\n",
    "  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from surrogate_model import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the datasets\n",
    "data_zone1 = pd.read_csv('./datasets/by_zone/Results_3079.csv')\n",
    "data_zone2 = pd.read_csv('./datasets/by_zone/Results_32434.csv')\n",
    "data_zone3 = pd.read_csv('./datasets/by_zone/Results_36302.csv')\n",
    "data_zone4 = pd.read_csv('./datasets/by_zone/Results_37227.csv')\n",
    "data_zone5 = pd.read_csv('./datasets/by_zone/Results_94936.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize models for each zone\n",
    "surrogate_blade_zone1 = surrogate_model(data_zone1)\n",
    "surrogate_blade_zone2 = surrogate_model(data_zone2)\n",
    "surrogate_blade_zone3 = surrogate_model(data_zone3)\n",
    "surrogate_blade_zone4 = surrogate_model(data_zone4)\n",
    "surrogate_blade_zone5 = surrogate_model(data_zone5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "surrogate_blade_zone1.train(data_size_multipl_by=100)\n",
    "pickle.dump(surrogate_blade_zone1, open('surrogate_blade_zone1.pkl', 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "surrogate_blade_zone2.train(data_size_multipl_by=100)\n",
    "pickle.dump(surrogate_blade_zone2, open('surrogate_blade_zone2.pkl', 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "surrogate_blade_zone3.train(data_size_multipl_by=100)\n",
    "pickle.dump(surrogate_blade_zone3, open('surrogate_blade_zone3.pkl', 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "surrogate_blade_zone4.train(data_size_multipl_by=100)\n",
    "pickle.dump(surrogate_blade_zone4, open('surrogate_blade_zone4.pkl', 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "surrogate_blade_zone5.train(data_size_multipl_by=100)\n",
    "pickle.dump(surrogate_blade_zone5, open('surrogate_blade_zone5.pkl', 'wb'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "babel_weather = pd.read_csv('../../Desktop/babel_2000_2020.csv', sep=\";\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "babel_weather.index = pd.to_datetime(babel_weather.loc[:, ['Year', 'Month', 'Day']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "babel_weather.drop(columns=['Year', 'Month', 'Day', 'Hour', 'Minute'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = babel_weather['2015-01-01':'2020-01-01']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Norilsk_Temp_avg'] = df['Tmin'] -10\n",
    "df['Moscow_Temp_avg'] = df['Tmax']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19a5d1588c8>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XsSzKKqhJ1I+mwHZhy9EaQCnIHO9GxPmOVc+toL58H8AwhexXUd1zmULXwc7t9IVSNQ9wvvBIIXDSY3Ah100EukhXsj/v7XCvlw2EUdyQXdQ5IPUFQtDkNb8+BYpc1xRka5z1KXihqIF6PxFUbc4Ssj+C2gZ9+DzRoi/eMZmZSb51ifiF1WVHM4uZ7wFLxwQ/n4/TrotMISaJFmIFBS84mqgw82fGe8D2VYGGVesIEpIKONeHl7mEhczhnSuQOpqj8vfNo9CLKdD1kn0Ne/dkCjtW2+0DAWDFRPs7tZfyRIu+eJYp8Or/7swUvr3dyjQNavbhn006DCbX4EelF2kK8WpgxM3Aa8eFOqy0oHrPq35J//p++gbwobHZwkNNrXXAQ2k+Yue94pl6MgWPdp+1iN2TKbxzOvD1jXYS0rtn2PuoiYBPMacvXmYLPeQyCVNgi+MlX2zZZisksS4iLKbA2ozrOvy0UIwwz4EKFXSO5FImr8pU9stzwa7JCkh+zEe5oCnQfJppb7n36YSkeqHQy6cgsWBkAbsnU6CxvqLaIrKH/9NQ65OVcLqdbH+PFIgngChS46X+wKvH6I83l7DwW/m+nhfI9+WALTRj8OMwZp9DSlNgBIegppmwkYmoOVZA8sMUciGB7c0TxdvNBFCxVbwvEnFqhiqByjP6iDg/s4jdeCVDLA2lNAXJw2df3p8usb+77IdJiJxQuSQR8ti51lKTF40W7584TH7uvofJ9+V6pE06CGo+AqcpAM6IH9k7yDTeOiU9Te6vY8XbmwZsx/rNLdlnDCULxdu/vw94R5Kv5Md8FPGIxkoVyctrCpmFSBpKZTRL1GdZ6JhMU8jVxJvZn4pD/dYn0+hFajIA5cQ+9K/yfTkg4QSCLHGPhR8tiBUcJj5lJSvJmML/LtS/bphYPRmY81nw8/c5RLy9oBjoe6X13S9xSyeLPJOYrShyyTMF1RrwMkHmmUItQfSAZY5miojkkSSqJUwhhNaNYWPtdOCLa4CRd7j3UftokLBDwwAu+VS8L0fLAHtClrjHws9vY31SiRqryJmMKdRVsATu/HeA8xgB45SngAvekzMOGXQyoLMBlblv/Ux9DdmLKdBimp9dAWxZqnfNDGE3ZQrJF2XG3dx74jBLuverrsYqxRPAUXI7R6Tl6qTTbNcG976Nc6zPYkmGttdP6DZYvF1lo86Byo/YMBv4/Q3v49jQ2hMessqe+GkKw2bEU7DlQvgS7bXtZA3rXRx2nRWqe9DZwMFMf4SCYqDHWU6hS0fTygEJWQjVvC4r4Yi9avF4MA+25tEogTBXi9hNmUISZtxqkM1ixU/Ai3282wzuL3A81RVNgU5OVbSUrA+xn/aLLFTRLLmgRbx6tKU5eZm5jmBs7UfdDnQ53t99RKGYaxkTFf/caztM1Q/xvVuRV3HqU8D9quJtzHM2okBhQ/W9wkgczARUTKG4MVcKWzG36pDPbfdnCiKNYOca9zYW95cAl3zi3i4isuWbg40tk1DVUaGLT5alGTQqRUX4c2nBqzTEVgcAzXxWdT36H87/vbJzeU1hay339vZrCrtrRcD7MMwnUgDcMhM4WiEBZ1NwYP2CHY5w7lOZWQvrc3lKaWgKLDbO1T82A9g9mQLlyou+C6aWFhSJbYA8keUzXXPF2Zoah2AiyvpJpItc1RTi1cCYh+3/qxQOTcNQRxr1EjiGj7zF/t66u6VdKMcTQv/ndOBnPUQKrZLYge7DrIVIAdC4DdBc0Luj60nWZzYFB7Yvu84aps10iJleeXkZKraEf00f2D2ZAsXoeyxbcljgmUI9SU9aGSq26UW7pAulpkCZQohRU4UN7OsWNxHcM4sLfvo7wKRn7P/ZsZTzi89QOwT37ml9tunJnMIcf+MUYK+D1OPJtrnxvbP0j03L+csQ10JFmRCa6ZvNOeK3RSYtc01Mp+bHMpSruYx+v+ajLEZj7d5MAQjXvMMS2SNuAuo15Q7wkDJePUYv2iVdqBqDe5mP/OKq74EbpwJNk2aXnucLxpPFBV+6Tr7vxb7ubcqcBAO4fzNwPlP8j2cisug1Cj+9wDOBNVP0j03HDs4S11Q2r2B9pJhCFpP6HPfW0BQosyRE/j73PZTb4PNZfpSlcGXsCUwhnX67PFimMPhxYMsi9fG8Kkp9GZnOaqULctk4exzrplvfU0whpDF0ONyyw7ftBdw0HTjmH+5jTBP47m7gv0cCpRtq18zGt8RkiRVvStIpW1BQ7JSgeceyV6JbWQ76oDIB9h3T3B82SomCahHZFBxYpqAzN1NMIeFMdu10lBWNJYJh6DXtoqDrNQvwUbVKDMMw9gXwHoC9AZgAXiOEPG8YRgsAnwDoBGAlgAsIIT5i+0LC5BdDupDhTTCWjrUlZsAiQCIiEa8EopKQ0DDAT+yZ71sF2S76X2bMRxSt9rea0rvGkwCmvGJ9f6Y7cPqzQL+rwr+/CLwEqjIPGIa6kBuVnB1F73hNwWNJfXuben+uQze7m33OlHAWCSKQck1T0DIfFdnHHnS2xej3Ow5oley7feZ/xOd1OgpYNFJzTNkrtBmGphAHcAch5EAAhwO40TCMHgDuATCWENIVwNjk/5lHIu50HHk5gup7ONKOv8/6lGU0s9g4Gxj5d/t/YloEejMX5ikLBw0L/MSm0Qw7VtkLQFbPhaKwoRUtcuEH6uN4sFJ0297WJ28vZqvWZhr8vZWSoCGuUdP/b/Z+wGky4s1FusXzRL6XXIKMuWnXNGKes+oc+hyymcvi13y0c23yUNN630fcALTpAUQLrL/iZK7KzTOADgOSJxnZ9ydpIm2mQAjZQAiZkfy+C8ACAO0AnAXg3eRh7wL4c7r30sIP9/k7/ogb1PsbtrI+owX+bazEBGZ9DLx8OLD4B3s7y7QyAVdZ8OSkjxTY3z3rMxFg0INAy67+7s0SANrClDcN1Kb5yMUUVJoCxEyBfX7spwi6JaNzvYAgq8kN+ifQ53Lruy5TYIm8ymFdLJkjmUbpeitvJRHjHM0ac5MKdfv0UR/XsotdD8owcis0W4FQZ6ZhGJ0AHAJgCoA2hJANgMU4AOwlOedawzCmGYYxraSkJP1BLPnR3/FePocEQxD8LmRiApuSUvpHjAM2485GbmKniFpUf/HRSBu/v5klAHTBuxZDbTIFH+YjmaZAw3epFqAyoeg+r/o+I9dqG2zr2aP/Dgx80PquG5HEzjMVo6zf3PqsbfPRN7dZGe4rfvJvPmp/KHD9ZOA4P8YPTqC8dLiPc2sXoTEFwzAaARgO4DZCSKnueYSQ1wgh/Qgh/Vq3bu19ghd4x6IKvS/2VulYKZEnBu0VVUOBpE9BlCuQYYmBndiV2+3fGCnQuHdyvKc/mzzHZ89Y9niZFFibJQ38+hSiIk0hOX5KEFXPROd5tT/UOY45n+eeFEkL21GkephrdlTjk9dEaPsnoEUyd6G2TSupzP4q5xzZsgRYO019blFDoM1Beu+alk0pbuzs/945d0vrh8IUDMMohMUQPiSEfJHcvMkwjLbJ/W0B1E7YhZ/koEZtvI9hmQLfKIMmKjXeR3yuzNGcaVWZVd2f7ATMTmZns+YjKZJSPHUAphOW2LiNezxA7ZqPXM/ay6cgMI+4zEcqpiAhgIMetL9Hi5zPYPjVwJRXFePKAvj33mQf4PAbgMu+EB/Pg2VyMu2i98U20aztqCw6Lz67wn6/RtSiH28Msv6X1bzy02p00APAGc8DB5ziNL2J5lmOIG2mYBiGAeBNAAsIIUyWEEYAuCL5/QoAX6d7Ly34pTfH3qXe3+lI67PbYHeyGn3JxYIiaECSKShKTWQKMmnYiOqr6TqmEi9QppvNcMP5I5z/ExPYsQaY8b77WMMQF7SjkSC0Jr4yQknyvFhzTLTI/Y7KVHWEcgCGAZz8BLBXd73jHeYjCVOIFgKNklbl0fdayZ21hZqkX8+MuzVBiic7pX+fwvqW1mUY8mKSOYYwNIUjAQwBMNAwjD+Sf6cCGArgRMMwlgA4Mfl/joFYCWj79pcf0q4v8M8dlroXTRIDmuZOJ5GMyJsJMVPIOJGUcEbD0GcKdNwqG/mNU9XXkPkUasN8tGk+ULLYnWC4Yw3w3MGSJjOGTaRYUGd7k6RGqGKUMi2CJYwiplCHCqZpwaEpyCKZCm0mXLXDitwzTeD53sCEDJML1sxM1wQryYuioc54Ib17ttgvvfNrCWnnKRBCJkGerjco3ev7RiYILrtg//Id0Kyj9d0rEmPx9xJNIcNEUUZ0CdG/t4opHPV3oHknoPUB6mvQyph8WHBtmI/+e4R4+6dD5OfICPMxd1ox5lRrDKIpsIgWCt7RbsYUHD4FiaYQKXQ+85pyqwvb9pXAhCd8OnJ9wDSdhQt58yC7jYVuZJkurhkPjHvUTjLNEeR4XFwA+MkBGHCr/+t3HAA0bWd992IKX/1NUr46w9FHKkncr6YgknxP+CfQ9wr3dh7UB8OXh87V2vkywhwtADofbf+vKmUh20ejbAC3TwGwn/fMD4GPL/Ueaq6DfccynwK/3YhYiZaZwNzhluYIAB+c46yULNQUBMljdC2EJdS06+Ouysri9zfDuY9P1H2msHY6MJ9xV/jRFBq2dP7PdpDSAZ3UKtVfRFTfOS2zCVyySUtMH0yB+hTSmCJSySoDmsKM94EF36R3jUyacFp0tjXMgmL3PKX3/voGYOG34dyzdL3FYERtWTMNUyMklWcKmciyp/j8KuClZD2i5ePt7QedA0x93T2e2tAUAPWcYxNhaxF1nym8MRD49PI0L5J8MbIoIhl0YrYbtBRvXzjK3738QGo+SoTrU/CCzL6+c53dfjAsjLgJ+OSyNC+SQaYQiVqSIVB75qMJT1gMhvZjrs2s4XZMsUHZOuHNSn7CycNC47Z26QmH+UggXPoNz9ZC7pkN6z5TyCZS9mPuxR57t/1dRqD9tgP1A9k910wFNvyhd41UnZ80pojs3M3zgBd89vDNJGhkUFiawlG3Ayc+4tzGJj8KHc0ZWIo0o5y2/BzzoPzYsNH/OuDQa6zvqugjFn7anoYGSTmOYV3ch6YTiScD+94zoYkEwJ7DFIoyUYBOYgZpuT9zSBaYwvIJ4u0z3hVvp2AjdcLQFLIVUeNXIqa/kUqH/1gC3OFRAVeFEx4CBtzi3OZiCrxPIQPPioZKU6fqTJ91rNKBYdgF4vj8HgqeKWxjurw12ju8sUxXzHuZ70O0blNrIUTzJ//eL/5YL38qg9hzmMLVP3gfE9bL7nm+VS64STt5uGqm2jBW7gDmfxXs3Es+s79TVTkdlTmeQRuxCn4rTNIw1PIS+//GHkTpzP8A1/0s388v9kgBUhqliClkIneFSuiyLnvNOoR/TxZ9LgcG3GxFb4nAaxDsexNVVA2C8i1WRJMMOpnXFFRoauLTzKwCK3SZcSvJrXmn8K4fALsfU9jvOPF2VfenoFJa885AxyOBs7hSuYYB9L4wWWxLYsPfsjgzNt4gbTZPfhIY+ACw72F257BU9FEa3beyVRVSJRmK0Kyjxcj9BBr0GWL1kACAW2eJNYseTA1II2I/j2ih29GcjVLJV3wDdMlg1HhhPeCkx+TJnSqfXFiaE98zm0YgUUx9jRmPRzRhp6OAc96wflNYEGniWS6WuPsxBcCZPUrB91NmQaVCmZorQ0ER8JdRVqOZ47nqrAX1LSKgioaqzoAJKchiatLWao5jGBahuPADW1JLpyWjTuG/0vXhtyj9TiKZyhCJAue+AbTvF+x+zTuJNYue59nfDQNYkMyu3jjHbZ4Iu2c2C9mciBQCF33o3q5aK2GCSuY3zxDsDIEp/O9iKxGOxUt8RzT2lh7k0DCAXuf7pxPqi2puqz3sPkxh4xzr00yIOb5qop/xPHDWy8A+aTg/+YbthfUspqCK9slIWn+ACcUuhoYtgQPPsP9Px3ykk4/xfO9wW5TO+TzASRlahDItK1bhZgoNQygG6QnB7yysb9v+Kf72S+aGcAUTbkvXaUuRUzfNd7JjDbAogxF+Epz+4s94YawP07CQEdVibTABco8pbF0WjFi+cpT1aSbEBatUUkC9psAhaSYM8dcvqG/FXavaXrLmlQlDgcey5GAKW13tdRHQ9y9AOw/J+6dhdmnzHU4AACAASURBVGz6S4pSI34w/l/+z8mUui6zURtRt0+BN7GEmvXtQWCvGQf8fQFwfwnw4Harg16m0PloKwwU0NdCn+kBTH/H3314s1FQ+GwyNXddKZ75cbH3gRRsYbxrkvkTOsmdpgmsE2lY6SP3mMKLfaxevkFAiGWuEWkKmY6E4QkL9WGoJie78Cc8YTEJVX8HQoAxDwOb5lnmhs+vdnd1C5ItHDZRPOdV4IznrG5UKoxnbLMlC8O597Zl/s/JlD1fVvMnUuB+TzwTyHTWd5uetsO0uLH1vaBIna0dFmgxOpX2XrreInxmAihdB3zjs/pAkO6G9QTd8A48w4omOzJDbVTZAow0j0Xn3f/6H+D144GV4Wt1uccUAGDXeu9jVk4C3j3TuY2YFrHkNYW9e2XeecMzHTrha8otybC4qfscRx/b5PHlihLCVTuBSc9YGdHrZwJzPwe+5gq76UyoXhdyY8/WNMiRxB2vRktBIcskjkQF3fECFA1MxIANsxQH8NoG8//gx7MXMkwbODVpJz+mpswSkoL6WnwzBUMecXbU7cCJDwcbhxdoiXrWhMe+e2ppKCtxhppvnG190tagISI3mYIOpr5mdU1iYSYsqU9oy63lBcAyhUgU+PNLdpmDFNjEmSQjUzln6WQhpp3nwFcB1SEmfbi6RdliCqE67NJAptqjyphNw1ZwEWyScEajyd7jliXArmSZ7XGPAq8eA2z20LIo8a/c4TnkWsFFHwI3/CbXpCgSNbZ50e8c9Ws+anMQsiKk0DWwhTE5sQJC6Trr89/7A++dBayb7jw/A4y97jIFkQSxaY7FWUWTjZ9UR98hvOyERZtRsiuEgnX0ZdeUW+aCA88AbpvtPIaYwPo/gHdOt6OUdCJ2jIg96fl4bh2mwNuvMykxXvKpfF9YUS6zP/M+RoVMJQsdJGlLfsIj7m3EdJrQRO9x5S/Af/pZpb8BO7hCJi26/BLZdWCmUL8ZsNeB3sclapgGOD5Jld96T7XVQ/ns14DLmVpttBwIuxYcmgKX61OyCHjpcGADR0tCRN1lCiKu/vpAaxLxmoJhOAlfg5bOTlhJEEJw5du/46z/TAo2pA4DgD//1/pewPgU2PR4lgARYjUPX/mzTeQXjbLLErBYNwPYTjM+md/iIugaC7+Ak9C90vcPPBM46XHv64rg0o4A1G9hfeo2gVdhwyzgi796HOTB9ARzIRTIHKnFgux6M+HUnERM4Z1TrU9KKKjpQabpTHnF+pw4TEAkc4RBiED7FqSjKVRrdwS2sHOdL98SIQTxRAC/T+8LnblUDVoAV/3g7E3CMnNeSFz+E1CyANiSzIvJgJafG8U2gkD2As2YHfVR3JTJBWAJg5hIJEzrZazfGdDGfNV39nfq14hVOMM6HS+RuAnH+MctE8G5rzu3v348cw0Dqd/ATqAfHwR+ed57nHwrQK+w0wvTKGcsIoxh1FWiYEsjyBBRdJxr11eeXJUpiKKSSAIOQq2j8VEmIrKf71gDVDJRfCsDCjq1jX5X2cJCogb47m77ux+IBCsVKre5zZknPCQ9/J3JK/HwN/MRMYClj5+KSCQNbbsDF3nH5jbxTKEWkhxzS1PwE4YnIyiJuEWI7l4FXDPW2rZPH+fxEnNJ3AyzpkmS0CZqOKLL3JsQMYHwqiBqRJjfwIxZhyGwY2OvlykItYEQmYJO1VfVfc7NQs16UYQPMZ3zX4cppIinwORYsdX5vysgIUc1BSNiCy2JmLOM+C4fLUuDlAvnNThREmwSX8ywbP0mARJhP0uH+Yh7t7zZfPf3KTAPd6sgtNA0gV0bre+yhU41hfrNgFZdgWsnAKc86Xx4knMTYTIFuvATMScRZu9NBJoCoNEY3LAXNTshdc0x/ESqdaaQRDrhjxXbLJVfB6pFm2lnd4NWesfR8EsKXyGpAsLAm5SChGj6xK/LtuLDKavSvIphzxleSp73pWU+eaipd9RNEKZQyPnnFHM3ymgGofNX9t27NAVOCMpA8EBuMQX2YdBkNBY//xt4+gBgx2pI7cRlm5yEdp9DkkTW23yUEU1h83xnmKmDKZjiSCmeKfA1kgxDXD4j6sVMZGPNJFNQJSilIeU80wN41iMPQgeZKIfM4tZZwF0aJq4J/wJeOsz+X4fS0GMmDrPi+lnwTtNaiDC7+PXfcN+Xc9O7iMEwBV4qbrSXXato7TT1dYIkr/HPSJS3kERh1J67ZvI9kLC4A3sd3mzGP5MMNOLJLabAQuQ8W/Kj9Vm6QX2uyCSjYT4yFUzBNAk2l/rwNcjs9I57M+YjljjxxD3OSXlGxF707ATifQW6qG1NgTL/dO5Ln0m6CzEjjVMYFDeynIkAcPkIq2qoFD7NRxQ7VgHDr+EuxTGFDCelfTkzpHh5I2ILEjxBrNfU1ni8IteClKbn5+M+faSHijQFlUy5ZlsFtpVr+kV4nwIrFOo2yUoDucUUPBe45qIRMoX0NIXnxizGYf8ai426TmiZBMqOg5j2AmAnAh9SW8MxyF0bGElQkOvgBVl/4IAoq47Lw3hFTKF5x1DuC0Cv/aqyXao61mLp5l0oqw5pIe53rF1hs+f56mO9mMLGuU5hga9IyxMP13sI1+Zx+yd2Ep1KuPKGYc9jnikQ0/6dqgq8M963iw/6vLXzf/m8KYzac5dqCirz89FPjcdhj4/xP6ZEjXOO8++VjyQMATnGFBQLoarUrncvM59QqCJe+O8MVC/1+3mWk2t7hTVR567biZOfmygnGDIJtOm+9veaCmDhSPcx8Worg/HRvaxuaTFBm0LR72cJnKq8b9P2ztajaTqrBj87EYfKJrzoXdDUfj/9tGXQaeHYUVE2RaEpEEJwwjMTcdU7IVdxBayqrKc9I9/vxRRWTLRs7BT8c+ZNjnxb2IZ7eY8xICpjabxXI2IzsPUznfvMhO0rUDGFucOD3lz7yIjhNh+ZHkKttnmaFSjj1U5TIG8+OvB0vWv6QG4xBRWe6wlsX2n/r0o08eoBIJFQ48xC4hlETTImuajAOvep7xdh4cZd+H2FpHgf+2J7X2x/P/9dO6N49D3OELM2PYEOR1iawIqfrMiDX18SOwl585GZAHautvfLGqj0v95iAncssMp/AGlL7Ot2KJyYIoZD78dn/PKEbMqrwBfXqm/u5UA9+Dzg7GS8vkh7U2gK1XFrPFNl7zhdqBrJENNypi8aLd7Pt67kfwfPcNnEuFbdgL0P1h+nT8SCxO9TGIbN4Mb807mPJGxmoCLAQXs9BxSOzJT5KCTtixVUEtVO7YBnhnM+k8+RoLcP9WrpQvVQqxgv+6TngGVj7f+7nuQ81rP6osynYH+PJUzUxO0N1Zz0U5RUH2tkC4CdYM07298btgR6XWB9p5FUFNECi1BvW2lLBAXFbvMRwEQlJJ/ZCN5WLZngrGlK5M8AULKrGr+vzBAhBOxJz0/wKi6S4ru7gNmfqK/F+1t4nPemVdPm/s3A7QInqIIpVNb4l3jHLtiEr2ZqRkWposyICXx6OfC/C63uYa7Bce+HPtNvbrUidFS2Z4WtPAzETYJL3/gNRz05LtgFZFE/ZsJeFypNKuWP9Evk9Y9nKRXRMB/5Ajsn45z5SKQh8eV+0r19qFdLG5oSxiLO5FK/ufN/mUmAxh0fepVwN6spjFu4Gd3u/w5z1loOq5qE88UXJzUGqVTEjuFoPkIgOflc5SYiVsObml3AtGQXsGih2HxE7a10cfzBNUuRtftkJ9z5b1u9hNs4pcYz/zMJ57/yq/j8MEDHwE9wF2PTwBbN2vUFxUCxIJpEoSVVJAUBPwLk1e9Ow22f/KF3sCizmYKYwNal1vdEjVtgEmkKhFglpt87U61Jh1yBlY+6iScIflm6FWu3BwyDlTFLwoTtqn5DqsNdEXD3Sv37+tCY2d+s42j2BXYcCc58VAuhxbmV0Rz0oXYZ6JQoZeajG9SEjuX0H/xmxVsv2bwLPds3TU0CygRGzrEioFhtwgFHNBFfdiPiPoaClsFYm0x7jxaJNQXKFJb84KyeSCHTulim0LwTcNKjrkM2BM3oluGC94HW3YFR/7DKD8iYAmse1IVMkzj9OXfjGpGwoKD4O5L+o6jkGEIIFm8qwwF7K4i7CkWKTGpXMhv3Pvn49UiBUztQRqmE62TmJeR4um1mZZo+SdjmVhVToPsiUbfAqEJg81HSpxCapsD5FFiHey0whVA0BcMw3jIMY7NhGHOZbS0Mw/jRMIwlyU+NtxPwoTbkEoQCtpBkHUHUWVZcEHWMzOVrkDEFVagjnXz8Meumu+3M0SKxpsCaWn4XZOWqWjAGwKKNuzBqjkcosAw9zgRadwOuGGElE1KNja/wyk7+dAlLxyPdTjheEqQlnCVYutmKdd+3RQPh/hOe+QmDn5uI8YsU5c5V8DIfOTdw/3L/F9RzPj8dohkSeAdqPJEmcZSaj0yb2bG/IVbllKZpRQC/vjJfmgIzrOT3B0fMS22bt34nNvkJYWfBrtF4tTO8VsQUQs6eC8t89A6Ak7lt9wAYSwjpCmBs8n812PKxumjQCuh0DHDdRHubR5ihDKwpqDpmfb/xI2d3I34BSIULZVKUosyDKKtSpCmwJS1ElVUTceDS4RYRZhEwLn/wcxNxw4fuTk+BEnaOu9f65GPJHURNZf7QuGf9Zu5t/DvhS4hzoAJAUTQCQggmLNrskAaXlVjM+i9vB4xO2ucQ4IL37MJ2LLya7vAm1GYdmOdnqDWFkKVN3oSadhKojCkQiU/h8TZWP2YefplCv6uAQy6zPod8pTzUdJiPrO/fzLITCE97YRJOe+Fnf/enoD5HAPj9dWdSY02ATG2fCIUpEEImAuA9k2cBeDf5/V0AkjrCEnQ4wvuYZh2Au5ZZSVvsRAqoKbCTm3UgmyaROpMMmXNKqSkkHzu/cBu0dJddiBZ51/tf8r17W6Ia6HqCu+90wGcjQyDnWrQAaNnVvT2ebF/KSoQi+KkLxIJ/Jx7Pgv60WMLE9/M24sq3f8c7k1dKj5dqjSr0OEssQLg6s3lcu7ixTTAjUafk3Lo7N9CQWlUmwWsGaTlc+1/nfndUUDITYk0BEK8Bv0yhqCFw1kvA6c8CXY5XHirSFHhsKfNZxI/isGuAW2dbBT11kvBE5uM0kElHcxtCyAYASH76C4zWWfjsy2AnQEBNoZpZ1FVMtBHLIH5ZKogEEUE1Ial6wSfnFDWCy0xgGHaIXfNOevcGgE6CMiFA4GcjQ+D1L1KxEjXAoy2Bz/+i7rjFM8kjbnIf45WrAnia0qggUJMwU+bEGattB2/nVhaxOv4Ay3extTxgHw5R5Ut2/vP+BeFgTabMNFcVlpqpaFKYSPNMAzHO1JdWSGqzDm6mQM18JKEWFjYvdEZqUSHgwg+Biz5yHnsOV4XYJwizTlWhqDNXb8e/Rtktc7U16+YdmQrPHihZ4H2MD2Q9+sgwjGsNw5hmGIazmImW3ZN5wKy0pZmY0+mekXjkm/mp/2OMxMMyCHaSPzeGi3aRmY90fAoipsA3u6/YmlT3Db3sxb+MBm75w3K+UxzGxPr7YAqiCcwveJEarQUR06SMYP5X7sU/4UmrEBoh7iJgLfZzX0vnd3KMY+32Cjw0Yl5K0qU/J54gqJf0LcUSJvo++iOu/2A69mpsEdlWjaxP7Wx3HiJCx85/M+G9HsyEPZ8iUaf5jZaEaH+opYGf8lSwcUpw2ONjHf+nHZop0+C8QlJf7u/s705pwoGnu9cVa6IJAKemIP+9Z788Ga9NtKseS0PYdcCbljOETDKFTYZhtAWA5KfQG0cIeY0Q0o8Q4nxrfp1hbG2Xff6kfdpbv9jFymR5CTVxE4bEeRCRORWUJScoU+AkxIIioJCr6VK63pKMCxt4q8OnPwd0PAJo0dm5/dRhQOO2yQHr+xREc72aM5GwBMBX1JKQKTCSNh9SOeFf1me8GljFNSsXmoo0zGQc4/jHZ7PwzuSVKW3AZCLO6M8kBNhaXoPv5m5MLXBaOnlXVcByGFKmQOzvXuuBmLZvKVLgfH6UKRQ3Bq4aDbTvG2ycmpiyYqv3QSrIGkfVlNvMTvY8ypjcH416Z0HhzFPQPy+QiZGCD8zIEDLJFEYAoJ68KwB8rTjWDQcrljxIItEUAj48B1NwaAoE9Qvt61fppPGrGrfQycprCiJCGa9KMoX63hNbJR0fcIr6XAFMQvDRlNXodI/t1OR/OyslDRjqI1lJlHXKhqi6avcwTYto/H5qn4gpaExtzhxnMpoB+38sYaImkXBsA+z5YpoEM1ZvDx6FJAJvPvIqhEZMoCx5//rNxUwhaMFEn/h5iaaJVRd0XUwcZm/TERqlza1CgKamwGOPYQqGYfwPwK8ADjAMY61hGFcDGArgRMMwlgA4Mfm/HlofyKnPEvuyw4/ATADPfgRiUwdd+ADndI6baFRsE1yWMEonhCiihEJmPhLZohJxS6OIFon3s1A5Tumz8jGBTQK88bOz4Q+vKQSOHPWKgOHfOX2nNeXuDN8gzvNbZwPtnJm9tPAlnRvUblxaFcf4hcm6Www1oAs8QYBzXp6Mt39Z6doXGDxTeLKjx/EJuzZYg5Zin0KAntjDp6/FnLU7U1FX8YSJQU9PwPfzNkrPkTGFycu24JkfA0QY0qRDNsmSPh/VfHY48NPTFFZtLcc0JsufXffDZ2hmsCNN85Eooi4DCCv66GJCSFtCSCEhpD0h5E1CyFZCyCBCSNfkp37dhIJi56KQOR0dRe6SE0Cz0UxMEEtdFWMijliJMGGifpE9wSqY8gdSOzodW6O9BfuYx96kvf397Ffdx5oxS+rTsZGrjgnEFIgrc4Qv98Ezxd+Wb8UPCoKRgld7xee4HAL6XmMVboYSLQL25VoaeqG5m8jScsjUHLRyi63NjEiGG7JMMWU+EnDGcQvT1BqIafUGAaw+1F7YudZ+ptFC28xywxSbGfjsiW2aBHd8Ngtn/GcSnhtjEfOy6jiWlZTjH5/NQsIk2Fmh1x4yljBxyetT8MJYzQx0x0DiVrQaLUEO2AxQWS05PPPRscMm4Lxklv8Vb03FtFV2wMELY5fgjzV6zW5q4iYWbizFBa/+6r+MCq8p1MsMk8i6o1mIgmIn8ZIREJGmoOlIFUVIlEsqntbETQfxq3RoCoqbXDPOmT+RAjNBG7cBbp9vNe5utb+1jf0NiRprUUSi3sKO8rdTMdifpMIzvUUbnXHSfCvCi177Dde+P937wqLcChXo+03UuOsdFTUErhwJ/F/A5Dp6iyThMAkwcvYGvP7zCtcxizfZvz+lKQgmQTSdnr2As1jg8Ku9j587HPjtZes722+jxX6MpuCvCRMbVfTZdGe/hKpYAg9/Mw+9H/khte3Pf9oHIsxbvxNd7/tOuE8LZtwa+8bZ9jaap6Myqzl8CuGRup8Wl7i2zVi1XXCkG9/MWo+HR8zH1BXbHJFsWuCtDyEHDFDkJlOIFnHmI8mLF710TaYgyrqUce5YwnRoFuxxSntiu74W0efhYGaFQNN2QOsD7G1nv2qZAPY/MRm3H0/+rjR8CqlwRf1XLvpt1384I8UYJi4ukTJST7BO5UMu8z4+1X7UdGsKRY0s6bhIYbLTQIopmARz1onDAVktkTrWRRYBtjOXJw69xr2NLw6og41zrE+WKUQK7NwXn5352DlfWmlpBDQxLZYgeO9XZ+tNWfP6Gas1fsslnwLH3CneR0yLJvBlUBaOUtd4crTBDb+XMQtdIWDUHFuL9j0i3kxaUOTOQQkBuckUCutz5iMNTYE+Ys3oGj62GrALoPGoSZhYt92O7a6Om6mCeIHqnbATVETIe54H3LXcInIpTcF/iKUDbQ6yPjscrj3M/4xbKiw8Mvi5iViyaRcuf2sq/smk9vsC+373PRxoKin1DVgMIWVDTjIFVmpSOfV9IGU+Mgle+UnQIxziIAMR8yyK+lhap/3bvW2iYBsF25NDBCNim48iEUZT8Gc+qhJoxKpw0wIJYZTVjnKg22Bg4P3ifVRT4PHxxcDSH+XXlDma73T6yTDoQeCa8d5jVGBnpZ4Z7YJ+7eE2ymqCj6gzokDb3sGupbpN6FcMA5Qp7FgD/DRMwRTYLmbJCazZc5fVFIZ9vxCEEJRJQgqXbCpDKbOPdSIGCsmWOch5RAqdPgXP6CPFtfpdDdw2F2jbS3uYL09YhlVbxYlOtLnQhEVuVdo3DMPZC4IHzxTMuDPzO6SoDErT/vqevP+vyBcVWslkFuskYzjtaXUQA2A9TzPu9rP51BSoHwGw/SeqEhZRQcTXv0YtAM8ffQtSZlwu8Az/q/w8kaO5sIFVvp7F0Xe4gg78QpcpGIZhW8a9eGX9Fs7/+Y6MtDJuyMhNpmBErcX/6RBg/GNAySLJcczw6ze3JKjTFd2sGLA+hZfGL8P6nVV4/7dVwmNfHOd0jtUkzBSvD9ZYg5kN1YpaJtFCxnykwexUsfmRCNDMQ8L0Aa/6NnFfURYeq4MknNEmZsJJ4GgORpqQ5px4QDQHYplgFIA151Vdx6yDnMEJlDj6+H0bd1Zh3ALbWZ4wCTrdM1IZjn3Ivm7H52sTl7ueK++H8gT7vos5AUDVqKiWQnABfabgqy7UrX84NRg+UCDk6gSpy2bkqunCiFhEoCKZBCNzjrISYrTQaqLS4yytW/AvZ0WJO27+gdOtap58UlZN3Ew5YNPWFMoUUSrRQs58lIZPIWTEPEIu0wq9O/ER5/9smQeayEUlx4J6TmJ31feBTQFBncOioAV/TNEPDHd9LB60RhAVJKjphWMmExZtxtFPjUN13E3oD39iLNYLkhFXbRV3NRtyeEcM2L+lcF8hpyr41qxY81EDTnouUpQtd2hGuuK5GhMFTmbAZgrdPcqom6YP41G9pk6Bhxf6IpGM+EpymynQUFRZpIqqx60H+EUrWhidW4nV9FjCtGlUEE2BlfpVSVYp81GSKbTzyETNMFM4o7cdXTLkranKY6tjPogiP7G7cyWv2YxeYiY1h+Rzb8aFlnY4XG0K6HWR+/pJBNUUflvujrYWmZmUaCyO3HGDAGc8rz6kutR6TnQ+UCbCJQw+8s18rNlW6asZzvdzNwm3RwygQDKX+aZDvplCj7NsKZnXmFWNilhNgTKIP13i794cFmwoFW7fWRlDNGKgwCPAgBVGpcU0WUQUznKd3KUAyHGmkPQlVCdfBJu80qZnWn1m+UVbJSBi9QrFJhvWpxCsSqimWhstshgjNQWcPFTdhN4r6zVNsM5Tr9/tT1PgC9Vxz71kEccUTPuUxoI8EBXOeRW4yNmlbtKSLRjwxFhXYp4OerYT+zN47WHSki2YK4loAgBcnyzdoXq/gPXbvYIFqkuTPoXk+2qVjGzj+kewjnVdfDJtjXC7YRjampYvE8odiy2bP9UUeJ+hSgBg11lBEXDvOuCUJ/XvLQDt0c6jtDKG+oVRoV+FhUmIv57f7O9dzFWCLW6yh2gKBfWsybxjlW0+ookqHQfYx13wrvtcH+C7Q4k0hfoKpmD7FALcnHWaqaqBRgusBb5qkkUMCorU2pFXQliaKC7Uny6+Mnr5iZ3gmNuSHzhHs2kJCIOfAM4VNBjyicdGzsf6nVVYs81/9VBZ6Co/vy57cwpOf3GS/EINWgAP7fTs8aCFyh1On0LXE6y+Gr0uchxGibhXU5wGRd7+rLhpaofh+hKk6je35gddM3xItconxzdRKm4UuJ8IReN69tqtx6yHhRt3oaw6jmKPqDP2WWvRc/Ygvi7aHqMp3D7fHW9OyxrQhuNnvQS07JLWbXhJTqQp1OcWwzc3WeWof1pckprYgRzNLFNQJZOxks7qydbnXt2BTkeLj1cxGA/MW78TPy9RRxL5CbP0lLqv+Fa8fdCDbrvx5gXOQmjEtIjDETcAjVq7r+ETVHItLAhvgfk2H1GomgsBttlM1I+CorrUMjuyBHCfQ1yOV2rq8GqfKQs1ZZEwibam4IspUMa2KJn8VrreuX++pBnOGc8Dx0tCXNNAQ4YmNCxym2tlmgQFm/2uFYXFvkO6vrsOtj6btt9DNIXixsB+XIMLWiq5y/HAbXP0kp04zF23E69NtGPP+UVbUeM2vTQotF96swaF2LeFZZsdybSlDORTYIm96ny/rTNFJaQ9UFoVw5ayapz2wiQMeVPtJyj2mPAslm726BDV+WigJy1fzEzsI2+3mML9m60y4AAw7wtnw3aSCDVDlRIp2no1DPy6bCtKqwIwaVUyFovrJ1s9AW4ShK4SE9i2wtPHtCNZooKt2UTRtL4997yIfdP6hbj8iE4uh7IM/phC8prUWqDbY2D/E90hnGmAPgLWPyISfM7v1961jaIgYjiqIWiZ0VjzEbUEDP6XpVXWa+J9fgDkHlOIFACNuH4Isz+2PqNFVhOOADj9xUn416iFqf/f+3WlY395tXsx1iuyH08sbgqlgIQJrN9Ric27fJSNdvgUFBNDNqmpdnHe287ttEyGD1z06m/o99iY1P9/55yCLLykIBalOmWkW3WzPlm/ACUCBcXO6DJeU0jTDMCCSsoy2texpf9M6S9nrsNToxd6H8hDV1MoKLJ6ArSSaAxblngyhf1aW0l/opLfbCCGrGy8tQ+Y9c+TcGDbJg7mMeRweQE/L81ECD6gwAteEVo+QVcpywi67OVOmjzrT+2k14hGDJRW2s9aKzSXFX4G/dPKs2jK3mO31xQMZwYmj4CtJNkwOjrZ2XRzAKiICTQFRj0sr0kIzScJQjBg6DhXoxEldKOE5kmqjbc/1PpkbaZ/D0CAAMznoim+mCmv+EibyuggniAwTaKWCo/+u2VG2u9Y8X6RQ56YljQdpqbAlcrmoSsB81i2WRy+qUTP8z0O0JSyY5We82z/JFPgneVD3pyCcp2ijwCGX2/7+VgzUzdFaGagyrpnvuDv+LCZguAR3DJQLIRRMzMLw7CYQjljkUjomBhZ4eegPwP3bXD+tgxU78gtpkAlElnmlrMJ8AAAIABJREFUpc8qj4A1oY8dNiH1v8zWXSWoe8QzgWjEcJnwApVIZi/SQuEbKWPC/9jfPvABy3zASolNwkngUuEgSaSNCLGEiSOGjsWAoQpmGYlaZiQZREIAzW7WzFzXAVXjZbkFlNi19sEUgQBJWoCVjHXU7fL9usww7s0UKGoSCSRMgidGLcCm0ipf/RDYNcJqFKrSFlqaQjeu/wfbdfCUYfCETplw1drzwIAuLdGzvXg99GzfFCuHnuZY5lHDQEVNAt/Otk3PepqC1zzf7TWFJGST2a+NHW77JWUKR3KJNtTWN6i7bbriHWyGYbgYRSXD+beWBejRy/eOZcFGWLGLIlpg1zKqRWjVsEkiljCxqbQam0oD9i0GxAQwgz4FmXOYagon9hAUN1SAOhJ5h+L6HZUYt1Ac7w9ALfyIzGbH3+felqjxZAqUONfETUxZvhWvTlyOe7+Yk9p/WOcWmPvwYKFplUKmRamUqznrdnoLUxd+APwf41RmrQdeJjZAzwH7t5/ddZA0EY0YKI6qCTZL80XFAksrY96+NzrP+ZIXGURuMQWasi57oTrdtDjwzhwaetqmiVOSoNUv7zvtQOZ27nHwdnW2auY7k1fqD6xtb+CAU911WFiwESaq42qpd6ufjF+WwG4q1fC33DzDqpTJQjQPaHZzqD4Fa6y8KY2C/m7W+ernuj8ucDKA0174GVe9I6+vJC3rAoglx2PvEh/r8Yzo+GriZiqvhI3Ka924GI2KC5Q5J7IwVFUi4K0f/4GHvrEKKUqd8dECZwkLVvJv0Ep6bV8oaqheV0nIepX7iVYTCVR3fj4bJzwjKq3PIBIBznwRuEaicfe7SnsMusgtptAyaaPjQxLTAB96SjNtv+C6JdFy2LKsTAq2AxvgZAq+oiqumwhc/D/1MWy25sAHxMfctQL4h4KICPDQiHl4NkAHrGjE0Ha6ss9dK7u5ZRerUiaLpu3dZUtSPoXw1Gav90ZvJctbkYE2XuGvvz0Z9SNv0KSYg340JA9Ngdq0q5l+ISzj1wlBlmsK6vczc/UOfDFjLXo99AOWlZR53sehKfQ8L1AXuaAQzY94gng+HzaPQRXWSwXVRRt3iedEn8vlkYXt+liRSCEit5gCRf3mQLt+oVyKf6FVgiQ1AFie7LLllabuZgr60QRXvfM7jhvmoy4PuxD2O058TIMW6lR/Ad6ZvBLPB+iAVRAx8PWNHhm3SczS7ETlicOuc/6fylMIP/pIBjqH6vlI3ktdO2GiYbGYOEslcL/mIwC4OhlBxhaM82AKMcZ8RJOqWOL1J0GBOx6yhEYvpmDAajgDAPPWizU0B9i1YBgWY5Chd3qlLFiYJsFYQRe9mEZeBhviLOs1AQAj/liP0XM3YPBzE9H53lHBwtxDRG4yBQDodWEol+HtxFRq5Rf4CsoUPF40Lxkt3mRLOV7JKOMWbsZKSSlqIbz6LoQArwJeLCIRA80a6Dn72YUUyOFKwUeiZdCnIAOdQ7KyJypUx01pSfZfl20VnyRysNOQTBkz3PdQ4M5lwHUT1NdhQH93dcLWFMYs2IzuezdG++b1cfkR3mGgLSTzwauO1PwNpRifLLuulcTl0gwU1+95rvf1NPHhlFW4TtBJMGGaylBdwJnXo2Igd34+G7PX2tJ+WdDGVSEhd5nCYddYzdXThMzR3KhYvGC8uH8J50xet8MuJqZb7iftInohoSqWEMaoy+DH0cwiWHlxCu6eGclTUI+PZqHWK4ziumP3Q7tm+uGO1XETN340A4B7bl359u/ik3hTwZUjgX0Ps76rmGHDVpymoOdTqI6ZjrlrEoKe7Zoqid4JB1pO9wJOSHrpkj749uajfPmftJK4XGHqinNCFLRlQpxXaRDAqUV5PQ/WDL1Ds+91ppC7TMEwrObqFyXt7gGdqS6fQjyBlVvKsUUSKeTlUyjZJY+mocRv2spteONneVRDkMJrYZpLKC549VcHUxPh4HZ21mTQ0tKButNR8AXPEnEr3T8kTWFnRcyzT0mc0RTuPeVA/HLPQABAJw3/Chtlo/34Btzi/L/TUUx7TY/fzfrjNH0KNQkTNQmbKFXHTaW5AwBeuawP5j8y2LX9tF5tcXC7pi5N4aB95Nm3ZTqZ33yY+l495McGSOKUQTY3KF356c7jpOc+cqZdsNNLoGJb/F759lQs3azhZ8kQcpcpUNCs1oAp3bymUF4dx3H/niA9Puqnt67kXue98iseG7lA2pBE1gtaiQxoCqzKKkK9wgi+vdnOI6BMQUQMG0vs5kCa5iN+MX3xV6u2T0hM4bI3p3geQ23/9RhzwJi/H4uvb3QnKfFgCy1qM1VRJnv/v1mfHT3uaRjAny61vmuHpCawrdwmzKu2VngSsYJoxJHc6drP/db9Bdm/FA99Mx+7vBgDfSa061z/6y0/ypWjLLMZxSWfAc07qa/lAzItl2o3HVvKhdXju++FETdZPjivd8/eZ1lJOU545ie/Qw0Nuc8UaGXA4mBMgXci/jBPER8O92T+8oYBkiPhMiNQ4kfXk0wbkfWCVsKnppAwCVb78V8IwAv49NmMvu2Y1LbHzz4Yd518AOY8PBj9OjbHqT33duWAmCYweu5G9HvsR6zeWqHs3qWNgNntPGRVTlnYjmb7Hey/VyM0bVCItk3dUTBskhurFVbFTCza6BGXLkOH/laUSWONXAnKMD2ZgvW7flu+DY9+O9+xL6hWKDvfi8lU6AhKl30B3JIswxKJWH6UTkcCDZj5xlcSTRMyU6+O+QiwfSteCp7oasf6CUoJEbnPFGgZ5YCaAu9oVpVxANyT+cC28vs2rudcdNRMQomnqPIq4FNToAl7PnM0/v3DIhwzbLyneQiwzBr3nNLdtZ1fENSkwBLHS/t3xA3HWer659cPwMuX9sUxXZ2VS01C8NT3C7GlrAbHDBuPGz6c4eu3CBEguz0oVI7mb252Su5XDujkIID8u5601JktnC7jFoJqlQrtcmdFTNlfO2jDodT53DryMkdpVQbYf5CYKRoGsG9/+o/mCPUgs3w+eIbCfMWA0hOvUiki3iPrj55p5BxTuOT13xzVTFMlso+8NdD1/DbB4TUF1cvkw1M//n0NFm/alZoIMonYl6P55mnA2a/pH58E7a+7M+m0iiesFqKiUg5nH9Iefzu2i6uWi0xT8AKf4JcwCVo1sqXncYIQPy00ZAol1gJTGNClJQYf1CalbYryFFo2LMINx3XBiJuOxMqhp+GhMw9y+A74cMadFc6eF8eopMEm7YA7/OWgALA1BIWmcN9Xc6T7AHVGsg54zcBLU1AlyHV/4Du8NWmFxx2T1w8xKm322h3Svu2DD3I3dxIFIKT8UR4VeIfPWBtghJlBzjGFycu2OqqZomErS20+8Azf1/p95TZc8548c7T73o2x8NGTHdv4iAtecxh+/YCUeYjXFADg8ZELUhqCjCn44lPNOwG9/Yfn0nyMaMTA9vIa7H/fd3hz0gq8IMhPoMS+A2cf5e2pXtIeBc8UTEK0G7AoUc4Q2JDMRzSKRoTXL++HV4f0YxzN7uViGAbuOrk7erVv5thGwT/vF8YtVY5nzbYKTFi0Gbh7FXDLTP+d5QDb1KgoC+OVZa4yH+0jMJnxoIpt/cIofrlnIFo0UjPxyUvF9ZZMk6AqZuIRzrzlQgb6CvgVXkbe4vb30HUYJMclW6g7I/WBGau3o9M9I3H9BzOwQdB8nCJuEm3pl6Jvx+Z45y9WeOAx3dwNXn5iGnvLzEez1uwIlFHsB5SQ1cTN1DP4fPpaR14FBSX2vAbDKzS6Iam8dmUSkrY5wg3965XsqnZFoQHAjooajFkg9zGlOpMxIak6CFCNJYWBT0+wQlXrN5NXC/YcAGUKck1BNjdTl2DeFy8Bf6WRwEjnykH7NEG7ZvVx66CuePB0ucnlga/nCfM29IMUkuNVNa3yiRYN/WmjqhyevRrXXgZ2usg4UzAM42TDMBYZhrHUMIx7Mn0/APh2llWJUObopfDTLYrFsd1aY9FjJ6N/Z3XdFKopJEzi0BruGj47UEaxH9DM7Op4wpkDJ3jj2kExmgfyzXgSZvqOSxc0+1FX1MRx6ONj8Mg3bknzlo/lvSMAmzBSBqvbjjQdBhi4Y5tjAN4+Ba/XwQpLX944AMPO65X6f68m+gSOPot6hVFcdVRn5bFrt7tt6Nrm38rt1meGGs8ERb+OzfF/p3bH0HN74tGzar+IZRBklCkYhhEF8BKAUwD0AHCxYRh6Hpo0IDLriFAT985KlKG4IOqpElbFEyirjqPL/41C9wdGu/ank85eXh3Hk6MXCntLA7a0zka/ECJumEI38aO5nykOCOgTdr4mjElI4MQ3KeJ61VfXbrcc7e//tgrXfzDd8bxERIiFrSn4y2j2+1tDj0k3vDUFr3fJlubYq3E9DNjfXxG6FC338ShESWxaiW0AcPj11idt3OQTpknw5cy1jjpMMgbtpwqAYRi49pgu2pUAcgGZ1hQOA7CUELKcEFID4GMAZ3mckzZ0O4QdJZnoL158CJ46t5dwHwsvIlEVM5XRJX6d4Cxe+WkZ/jthGT78bbVwP5X0FmwoxSnP/5zaLpJiU7yJGc4/z+iBvx7tzKzVJXYun4JJpMz38rem4rr3FRVDWZzzOnNRdVz7rDU7cO5/J2MLk2z43dyNmL5qu9694JamvZyFFH753wnP/IQ120KMNNEwH3klabIN6gEfiXdJUIHHz3nUxPffCctSxJlfI/PXl+LlCQK/TN8rLN9jwOY6Z/xnEm7/ZBZOetauWpoQ1MT6x0nd8Mm1R7i2q/IwePRm+jA0bxCObyxMZJoptAOwhvl/bXJbCoZhXGsYxjTDMKaVlKgbx+tCN4P20T8fLNx+Ru99cMGh+3qe79WzuCqWUNqX/fKEAx8YjaHfWU54ulhEvaUBmzBPZBqmEBDtRcqO7Yj9LDMZ62jet0V9tGkitnm7oo8IkdruJy4uwfceuSMp9PizlawEuKuncnh85AJMX7UdU1Zsc46N1WI8nj9lZMcmfUe6zvLnLjxE6cBmI7EoVm4N0KVNhlT0kZyJeWkKjYqd5/o1idFH6+e8WMIysz45eiEGPW0lb/FM4ayXJuGp0YvSy5LnsKsqlirKx96P1xS+vvFI3DSwK5pyhHzhoydj1C2KZlEU1M/CNKs6+xB5T+dsIdNMQTQjHE+aEPIaIaQfIaRf69Zux61fmCbB64oSEyx0NYq3rzxU+NK9NYWEMlnJb02gylgCr/xkhevSsdcIVNyKmngqW5ltAuTndqxp680r+2HcHcc69v9810BM+b8ThOfyjuZA3elEiBZayUoPbgPa9VUe2iTZ+4D33bBjEz0Okfb46pC+mHT38dqmxp7tm+KNK/qhX8fmwv0iYSIdrdEFaj4SJDxuLatGya5qaTVgKrl2buWUfP1qPyaXyCkDa4qJJUzXc+CTT2NMaY50UVoVQzxh4t3JKx3bO90zEqZJXAlqsmdWrzDqq385exU/PRlqC5lmCmsBsCJ3ewDrJceGgl+WbdFrGu8Dx3ffCz0EtVt0NIVbFc7MdAgBJW4igjvsezu2nc0UJZLjRQuXdaI3KCpINXnXAc8sqXaTNuhAPUp+LNq4S8pw2a0in85bVx7q2lavMIr2zfX6SLA4UmKeFM2b9IoGcqDqqeDF9n1sDA59fIxUU6Cj2LupU5uhEr+utkR/jpem8NoQu0R+PGG6oo1ka0QUTeYXvR76Af/4bJaQ2a/aVoGt5U6/VdBe3RTHJpM6z+1rawde0Y8yv2PJruqMVVPNNFP4HUBXwzA6G4ZRBOAiACMycaPSqhjW7aiUZgF+d6tcvXvqPG//gQh8hUgeZYo2hkB6hIASFtHiKK20Jwtfq75SkDtBwxNJkiSc37e9tP+sDqgDniZ7NdcI7btnePoVcQHgx/mbMPi5idIY84WS7moUfiQ+L7AE9MbjuzDb3ffgpdK0auprlEQR+RTuPaV7yixTFBWbj3Qa7wD6c5t93jUJ4mpmzz8XSr/T1T4/m2ZZtb/6Y72QcR3/7wl479dVKIwaGHyQZQqU9cXQRYeWDbBy6Gno08HWIP0k9U1ZvjXV8vfQx8fgpAzVR8ooUyCExAHcBOB7AAsAfEoImZeJe53338k4cug46WJSdc26oN++eO+qw/Cvs3uGOqayarUzdGtZjbymPoe7Pp/l+F+lKRCJsZwQIiyxQUN3qYTPOxn9gjYX2Svpc9ioyBWh+Pj3NZ7HyJAwCV4YuwQ7K2OekTz3MD2IZWWRu7XR14pUYIWGfZhY/0Wb3CZFnojKlMgjh47DnZ/NEu+kMOSaAoXIx3N2n3YpCZ9njnRdFWtGYNHWpV6d+ljG+cLYJTjk0R8d+10JlMnflK756Eum3I1KWC+IRPDSJX0w/PojfJVM14VXQijr17jwtd9wwau/pv5fr7GugiAznVsYEEJGARildWyA6z8xagF+XLAJy0ssR50sjMyLy4sS0fygYVEU5RzBVTU8B4Ahb03Bmm2VWPr4KSitiuOLGWtx9VGdhersp9OcafB8uKQDigfZv3MLl/OV1io6vdc+WLejElcO6KQctxcoQYklGdZqQWRNp3tG4rYTurq2B8Gvy7bimR8XY/GmXTi4XXANp0kylPmbm4+CRzM2LXhpJSx4GmcSgijnknv4m3lYt6MSn01fi2Hn905/gBwKIpEUEeZNXHSe6fapPqRDc7w2pK9yXZ1zSDvUL9Lr+QBY/pCIASSQvqbAaiAqE1dh1EBBNIK+HcNrEczCU1OIm0CxHTyzrCTEgAQJciujOQBXeHXi8hRDAKwsVRG8Jl+6EDEdr2qga7ZZMfQ1CRMPfD0Xj41cgBmr9UIm7bnkfmiyx0gA1BM8B8oEohEDNxy3v7Iksg5oiWkvjeO5MZoJfEO+Ak58RLq7UZKYLy8p14quWrpZ7PynzKy4IBrKfPltuZP5qsbGO1RF5pe3f1mpd+NkVm95jYlO94zE8OnyujpHd7X9HtGIkZo7hRxT2KtxMe44sRveTWbz6+Ckg/ZWBmNc3L+DZ99r1qdQUZNICUzp+BR+X7kN89bb1XFVdDldrdkLuoUCY2FIKZrIKaYQhqtN5mSuF6KtmEX75pZKKWIKutJMdcxMNe9h69qrYICWpnDvU9mjRWPSrWmki5aNivHYnw/GW39xO20DocvxyoKI1FlXWhXTCoFcs71SEsob7nPov59TuuzWxo60Oayzc5/LfBQCDdhZac2lJxSOftaxHo0YuDqZdcxrCoZh4OZBXdFBo7GQLiKGOJmSwirgyIaImsx3/9RiwYZSdLpnJM5/5VeHVq8aQ8PizAqTXqC/WeZwDzM0lyKnmIJftiB2soqJakE0gqn/NyjQqFT4+4nd0LAoimuP2c+1T9fuWR03Uw48kSNYBErH/fgjSytj+tJ5mrjs8I4ZscGKQAlqeXVcK2w0ahjYXKqXEZ0OHj7TWdaAMqzuezfGe1cdhh5MWXbeoZpeNJJ1bjTpTFaVe2Gd3gURA3ecdABWDj0t7UgbPajfVcIkjudQUZNICTy6z2dTaVXqHFkvlX9/L69Em65z2Qt0bP07i81TtCKBLLP7h/kbQx9TTjEFP+vg12Vb0fW+71zbVeGofmq26OKcPu0x9+HBuPiwDvjk2sNT2w1Dv+1mdTyRioHWbUBDaZ9occge45YysWmtroNKUeXVCS3zUU3clJgfwpW6mjUoSplnWjYsSvmBHj/7YNQrjGJgd7sUuNvRnMZYaDYxR9gPuN+9XliEXp/KA163i5vEQQz/8dms1LvWeTxLN5eh/7/G4s1JK1BZk8CzY8RFKFWCmG60VVDQ39Gvkzinhc7TaSu3CfeL8pTSRU4xBT+YskIcteMV8ZMJUOmUTW6pXxjFyi16TqHquJmSzEbN2aBldqL3FE2JMEPe6wIo3Yibppb5KCaIh88U3r7yUPz30j4YfNDeKTMdfXdsFU6Xozkt85G48BAvpBx/gNMJHHp9Kg94vauahOkoNbFw467Uu9ZhmquSWeKTl23Fx7+Ly8F4IdOM0n5TBo7av5Ur+OLrP6y0rqveEZeC8VvlWQc5xRT8LFO+wQ2Fl63RK+EsHUSZ2O/6hVFs3qU2UdAJVx2zzUcTFpWgW1Kiu+mjGRgvibenU0G0OELNjs1RzFi9PVUfhz4DAr1aOzWCzFkgM8y0IBrBKT3bwjAMUJmB2oGdTMHb0cyDEIKv/1gnFSK8psEZvfdx/B+2b8kLXkwhFjcxfIa4U6LOFKfvOGIYKAuY0JpxppD8HYYBfPDX/rjtBGdBP1rBQIbwS9LnGFPwA1mEjFdUAt9UJ0ywXFunoiaVzBZuLHVlisYSJr6dvQF/eed34bmpycAtjh0VNRg5Z4OPUecORszST3Y/5+XJqfo4JmtS0Fgkt378B2at8e7NHDZowpjd89lefjyT0mEKo+duxK0f/+EmHMlTvS5R2+YiHl6vKm4SfDRFLOHrPB96TDQCPB2wf0kmiK4I7F1O7anfWInPug4DOcUUVO85lrAjdAB5HRIv04thGBhx05HKDOegiDqYgvejpfPtzs9nu+z9uzQlG/6R8RnMdQkfcq0P563fieUl3mWlWVOQLp2T2ZczCapI0vGyWcU7KmMOgcbLvLW8pAxzk2GVri5qcev/eEF4kUKZgBddV61lnYxv+jiXCBpL6SIT5hkWqURThvm8fGlfPHmuXiLtfV/OxdQVYn9DUOQUU1AZkO4ePhuHPj4mtXBkNVhiCdNTAunVvhkObBt+Mw52AhVrlFlmj9/ILWwaRVUUjQizkOmT4hdHbUk2mQA/9tNemISBT3un8rNFB3V/f4nAtJdpo1u/ZAJU62SVVFaweW7MElz2xhR7LB6DGfj0T3hpvKUhuH5zv78APc/Hum5DlNfItpmRz82guGVQ1+R++fi0zEfJh7hc07cnQqZNainzEbedmvbO6+tdRZXNcg4DOcUUVAthVNIk4mUeiiUy0NBFE+wEmq+Rzcoev5ULG1yTbAATiQDlgph6OzRPvD1X4KeWkG5CEhubXVoVw8NMV7V7v1A3pFch08/u9hO7YfRtR6NrMl+BD/tkM81NQrBiSzme/XExtpRVp2r1iOB6bk3bA+e+gVLTjrYTJXVqN7DJEEQmoFN77p0qM6KaDzoMTdQPQYWbB+7v2pZpWkKtC7wpr0FRARoURVNVa2n13r6SyrthIuNlLoJi9NwNOPngtqn/qTQUixOgyB3XTVETpxEotT/hZapm++b1Ux3AWLATYXuFM2pqyJtTAViMUhSmStcT/ytFZoeCiJE1AtCkXoF2KGxZdRyj525AwgRO69VWehyb/1GX9KJoxED3vZs4/pchYRJc8dZUrN5WgS9nrhOWCqEQhT5X1iRwzXt2xMp/xrkb02RbUxDR/IhhpJjlj/PlfTZUPoXpq7bhx/mbfTW+AcRJbJn2u1x9VGdsKatOJQ067m3Y65YKkNNXWf3nM4mcYgrsa/7bBzOwcuhpqf8px65OJAAUSid0aVXMst3qhfuHCtkEkgkbOlKIxRScq2faym2p7lP84uCfS//OLbBgQ2no5cQzgbLqOP72wQwAwKAD5QEB7G8MM/u/tkmkqgw1IUi1DlUxBMAq7vb3E7th3xa2D4GPvd8gKJ4WT1LlR846CBMWhdPgyg9Ea7ggYqQi8YYpkspUSt25/w1mThEt30wxhWuO7oyGxQVoWFyAR84SN/uKRo3UM6rWzF8KAzllPlKBckoaciqTfCtqElmzq3u1OASADi0a4Jw+VvM50YRrzIXaEhCXpnDeK7+mKnzyJg+WScz650n45LojlHV80i1+5wU/FpljmeJpbG0aHqyWKDKtBcUtA8Mp0KcL1XwxCUmVMtHB9/Ocma38maKINLqGLj+ik7CPRKYhYgrRSEQaRMKCzvPRczdg4NMTQtF6REJappjCfaf1cIWf8thREcN7v1rBF2E0FdJFTjEFFQGh74ZGJKgmQbZ8CrIJZJr2vs+vPwJn/UnMFHq3b4oTezjbOFoSoyoKw/k/O3doRUtV0bGHuFIMYcPPUm3AMC++nj8L1kG5NaQs7ZVDT8NVAhU+k1ARP79EziQEhBB8O3s9qmIJreS8bJuP2jZzVxiIRuTNbNjexnTo93wxB8tLylM+k58WB9d4RE7lXAncCK17oQZyiimoSEiqjrpHLRAAWTM0sz6FtxnJixCSMhVEDSPFtPgJF4kYaM31PTYJSan5IrBrv2RXNe79wt2sRhQJddsJXXFp/w6KX5M50OgSHmziIR+ZQpjnwBKzxYLeBBRafXOzCJ74sUzx3z8s8tUC0yTAL0u34qaPZmLY93o9jLPpaJ58z0B0EXTzi0YiQrPaMd1aO2z+sbiJeMJMCTy0w+AVb00NPCaRUJfpkFRd1CZTyFmfAg86IX5eUoL5G3ZqRxbcfXJ39N43eI19P4gyk7l1Y5u4mwQojERQBcsJTq0GvOknahiuSUigjllnG+o8P3ax0KkrMrF4qa5hgf2NL158CI7p2hpv/bJCeCxr+uIJ1kMj5uHdX1dh5dDTEGP23aFoOMO+g1wE/64bFRekiNuoORvRtql+rS6TkFRV1PU7KrUI/qGSejuZRLc2jbB4U5mj6RCLgogh1BQKIoZDGPjre9PQt2PzFFMor4mnHT0mov+1neUtwkvjl2oXygwDOcUUWK7AhzLSefLYyAUAgCGHd5RehpXArz+ui/S4sFHI2IjZ5DWTkJSpwCTEjqTiFm79oqjL9EWI2pnKXqKhJMv7qiM745Fv5wv31SYKoxE0bVAolYDZRc/7Ud5N2lYTprtlowz8HOrcqiFWpBGzHjZ44pfOwuf9D16moZN6tMlY4xgVRtx0lNI+HjHE5qNoxHCFqE5ftR0HJMN7rQqq6Y1N5MOplWKxHlA53DOBHPjJNth3yjtceWL5PpP9yjYKAdQ29EyCZQSsE9EkJBUeZxhGSk3kDztsAAAgAElEQVSlCVR0YrduVOyon0Sh1BSSu9Zur8BHU8UlAWrbVs6CHTn93TIHKqspyDK6YwlTmvTEgzVDTLzzeHx905Fa59UWeJ9CNRdl5kdG5YmXVxkI3baaYaNeYRRNFI1rxi7cLDQf8ZoCD5Mrsx0EotahtVNCPLeQY7/YfqmN6zmZgqpOfhOuRaBOiYlMgB0ju+BNArw2pB9eHdIXLRoWuXwJ9Le2bFQknNgq+3BFTRyz1uzArR//oV0aozbB/hyqietoCjd8OMOxj20/qmsLZxlzh5YNpMTo5IP0a82ECT76iJegdXpDUJjE+Vy9NIXsG0VssCXE126vFJuPohHlb7J6L6Q3jpMO2huvXNbHsa1Bhjs2qnDVkdkR5nKKKbDOFL4Nniras1n9Qsx9eHDqf50SE5nCA6f3wFtX9kMbpndDwiRo3rAIg5PEh3doUWLQslExxi9yVkU1DHGMOcXkZVtx1ku/uDKicxGRlINdvF8VdUfPiSdMaeIiDx0n4afXHYFXhvTVul7YUOUpyMBrxRQxZu0QosEUcogrvHXloakw7cbFBSiQ+BREwgD1qSVM4q4BFQC8SS1bVgfALRjz/2cKOcUU1jBZvzzhVIWZNq1f6Cilnc0Jf/VRnTGwexsURiOYdv8JANyqPE+rqBnJMh85dxoA/u9L79INfqTK2gTr/OP7CfBQqf92b16i351OgynwbTFrEyLi54XD92uJvx3r9pPx9navkNR6WRScRLjxeKvERPOGRUJmGZWYjzYlO+hd8sYUHP3U+LTHwa+/suosZMEmwT+HNhloEiZCTjEFFn4KvfEOxVwp/0Mdz7z5h/8tVBPoslcj12JlCegLFx+ife8L++3ra6yZAvvL6XqTSfAq6ZaekjAJlm6Wh6HyuHPwAY6OeLmEIOGOEUGEGuDuwOWlKfzfqQf6vncmQbOYEyYRdjsriBhCB/VOSfvdoOCFT1USZabBCw0tGhQ5/v/yhgEZuW9OMoXmDQphEuC7ORtSTWZUmYW8DZJkoe6RCHbEkXO77Lfs3aSeyx/CSs+0OJYIfBzzHYPFIadN6hXgx9uPkV4nk6DMUJZhLZNuq2KJ1GKNJUztNqeAJYH236+lcN9DZ/TQvk4mEIQpRCNODejp83sDSFYHZo5jffGi0NOmirmUDdA1YUXqiaOPdFvVpgPeTH33yd0zfk8Z+OrIfGh551YNceT+4rmdDnKSKfTt2BwmIbj+wxmpJjMqh49I3Xz2wt545oLeGRujDuhE54mdTOtp2ajIxTDYU1X9YnmTiuzY7ns3SVXprBUkx79fq4bo08EiTrIGSaIS4QDQ/YHRqWcWN0loiTwncNnjtQ2vEgrrdriLKLKawg3HdcG5fdujeYNCpfmonSQnIJfABhLIoo9qI5CCfydsd7zaBi/8uEzqEQODuoc/h3OSKRiG4ZCud1bGlCF0fBQHIcDZh7THOX28a5FnEkXRCJrWL8QjXCkJGW0v5CIs7hx8gPN6ijLU28qdSWuyULp6tRxNQX/NlzcemdIQZEll4yStRwFbOo4nTK06MKKqk65rZtkPE8QPFI3YIc302RZGI26mwKgKdSGskjpRT+vZ1pHvAwCfXHt4IP9LEPBzwk/p97DBm9D5+VIQiWg3lfKDnJwtpkmwgOlHUFETV4ZlFiZf3L2nWKpetuvEU0Qi/9/emYdHVWSN+63OvpAFAgLJsIpiIAsBwx5FJAyLLPIhuACiDh8aRjYVHMBhnI/5IZ/b4DgyDggoCDqKwqDOIA4KQXBEPzYBV6JGkSWQsApZzu+P27fTnXQn3Ul3upup93n6ye271K17unJP1alT5yj2/DaXsdmO4SRiqqzBuLlLcrXe3JI7sqr1mDx5ibl6EUzs3cbtMryJfePNceFBUxPmP0hpuRjh02ugSUw4c9ywmQdCK3lidAb97Vwya0NR6UhhvjPCQixcspOJIDYPrXlDU90KMOdvosND+b95A5g3NLWag0D3dk0aLNxE1d64O2l1fUVVx4uqC3YtFnDTEc8jAlIpnKjS6y0tq9k3Pcz6Q2ZZE1Cc92LkTF/QIt5RATw5JpPts28AYMHING7r3or+11xRbQTkScfSlbtjr/bet0HWhLPQA0op2jeN8agccwRVVlFBaXlFjaaXd6b1dcvzyJ34QL5mVNcUlt15Lb9zMzBhhVQu/jPnzsJDLewpLOZwkbFaW6SyY5SWHO/3EZG7JMZUN5+aeFuxzRvqfD7JfqJ56fhuDl6NDY05+OvetjGr7+lOXBWX1FCLxSdtuF5KQSk1Win1mVKqQinVrcqxh5VSXymlPldKDXRVhjOq9gq+OHqmRm8Kc2hpDkHPu7BNBwMtE6L4w8g0wkKqBwbzJIyvK9NEQ0eQnT7AmPCu6u/tqenEDAlSWi6UllcQFqKqRZQF+ODB62nWyD3XPX/ai6viKhZQVSpEKjsHtpGC4qtjZ1n0j8+t51SufQkLUR61m0BjprX9eHvtkasFrvadCX/POZkjhQGpV9D7yqRqo3+L8o1VpL4jhf3AzcBW+51KqVRgLNAJ+CXwZ6WU279q1aig97y4y+Hhr7+6qcNx8+VpanVXE5bBRlU7anxUGH+p50Krhn5B3NO3HQULh1R7lprs3Emx1V/WZo+ovEK4WFZBWIjF6dyEu73ibQ/1q2bG8yc93RzBidiZFayPevKco1tm8flLtsVsYSGWoBkpOKOzNVx2hJdt+1FhIfR04ZUWKJimK3Murur/jFLK45Sj7lAvSYvIQRFxFq1pOLBWRC6KyGHgKyDb3XKdaT97RfH8uG68+t89ucIaZtrshZqroANlTqG+VB0xpSRGc91VTWlej0UsgbLIzb59r5jomOAlPqq6u6T5m5aVG+aj8BCL08B47r7oA83OHhsRyig3HCMqRGydHjMA4okqq9mLL5Ta5OVMKbRxEuMnUDEnnetq2194cxprftWDVXd3d9gfGRbCknFdeev+PvWuo6+4v/+V3N+/A6O7GmuOnJmEq2Zl9Aa+6iolAzvtvhda91VDKTUJmAQQ3txY1ejMVGTvXREeaiG7bWMSo8M5evqiLfaRP+1/vuCUk2TrkWEhvH5fL3ov/JcfauQ9zInQX99wpUPGNaj5dyytMM1HFn4uqxwRfvSb/hw/c9Ftk5A7WfIaGncmU8ulMvCbq87PV8fO2nz6DfNR5bFtD/ULuDUKNWEq77rGM+vVPolWTpRgZJjhGRgfFc+zt2URHRFYK7zBmHyfMaByvVGYk9GSL0Jq1/oWVUptBpxFDJsjIutdXeZkn9MWLCLPA88DRLToIODY2OMiLPy6eyJtEsIBYyh58KARPvt31yVw+kIs0ed/4uBBw53xr8NaEB0eYjsnUPnrsMrE9K7qmtmozOl55RXisL8qzRpFVCvTPD9Q5DK7ZyNKy2O5Iq6MQ4cOOTxP00bhHD/j+I8sCN8Wl1JeVkppuRAearHNHf2icRTNGkV4FAagLnGHfM0v05rzyq7vmdi7Dcu3F9j235TRkguXytl88CghSjE8M5lnt3zNjdcYXkvhIZZqbro/WEPGhIVYbHbyoektHPI4BwNhNqVgvLTDQy0erVOJDK98kT41JoN1n/7Ati9P0KZJpaPDkHTX/0uBRE3rlLxJrUpBRG6sQ7mFgH2chRTgR3cvtv93/XX3RLKubEloVCOaxUUSFxlmMxGIGPZl+6Hl1SJWt73A+6e3p7SwGDAa+1UuFpMdP3ORIyWVC5iuSUkADBNKhdVlt21SDOUVYkvuHhZi4ZoWcdXKanb2IifPXWrYhWs10OZSGcfOXKRV42iUUjZ5AKS2iOOAnUsyGL91kyanKbt4mkvWiWbzd180KsPj3zsQJ1/7Xd2MgoVDePfAUQel8MytXZj1mpFRLy4qjKuuaETBwiG247vm3Uj6/E0OZZmjqPBQi825ICGIRggm5ojOnFPwJIXoxl/3cXA6GNklheEZyfx0+ucaJ/bjo8IY39N1vhZ/4WwebuqNHQi1KH7zmPfu4yvVswEYq5SKUEq1BToAbuXJS4oNdwiD0L5xBKFRjVBKER5icbAZK6Wq2RotSgW8QoDK+Y92Sa5dM12F6zCfT6FoFBnm0FhchYduEhsRMAoBICo8lNZNYmzPYv+SdvbzKaUIjY4jVMq4ZJ1ofnRYJ+YMvoYe7TwPahfIC7qcLZgyPWGcBfBz9pubyYTCQiw22ford3l9MM1H5uJVd5XCVVfE0jm5esZFi0XV6um157e5zMy9usZz/IGz0W1cZBgPezmOVb2M8EqpkcAzQFPgLaXUbhEZKCKfKaVeBQ4AZUCeiLhl/Hpv5vUUnjrPkMX5AMRGhNheHJfH9LFBmybRCLV4y7h4YPP9GWG1s8ZEhNKuaSzhTtxYg4UW8VEUnjpv/eb8GYx2YMwphIdaSIwJ51c57ep0v0DJvesMZ542A1Kv4PD/G+yywxMbEcrZi5Xrc97e9xNghIexhSwP4Gd2ham8PY3q+uQtmb6ojl+x78jMHuS7mEz1Ugoi8gbwhotjC4AFnpYZEx5Cp5bxrL6nO2cvlmEpPW475kkgtEBHKVf5x+zPcX1tmyYxDiOqYJ9kbxwTTmSYhVPnSx1WP1cNmVxunWiur301EM1HJq5CK9Q0Av7gwevp+j+bq5xvKBhTKQTjSMH8newnmjNS4tlTWHP0UmcebMGOvVJwFj7dWwTUGFpR6Zvf+8okBnZq7tCT9mcWJH/QJMZ14vm4qLCANoHUhejwUJITohxefimJjkP98gpjhXt9nz2QTYx1UXhNYiPI+EWCw77oMGOUHWjut54QZptTqPzfXz+lD7sfGcCv+rZl9yMDnF4XjKOi2mgoK0BAvVWcBb2y7yEk+En7K6WYOXOm7fvjjz/O/PnzPSpjw4YNLFy4EID58+fz+OOPuzzXPG7fsNs3ja12Xl5eHpmZmaSmphIVFUVmZiaZmZm89tprHtUtsKkaNVY4fvaiU/c8d3ju9iwGdfZP+k13sW/z/5p5ndvXvTKpB9se6mf7bo4kTZftc0G4qNOURVWX1ITocOYMSSUhOrxa4EgIrHSj3qJqNkpfEVA2h47Nq0+E2vfoHt14gAM/nq52Tn1IbRnHb2+qOe5MREQE69at4+GHHyYpyfNgbmVlZQwbNoxhw4bVtZpOTQrPPvssAAUFBQwdOpTdu3fXufxg4dylcg6fOOdx7CSTQWktGJQW2C6I4SGVveJ2TjoDrogMC3FwOTVHU2bMHPs5h2Ah2moWrWnxWl6/K/nffzpbQ3t5Yb4Dmvg4PEtAjRQCldDQUCZNmsRTTz1V7di3335L//79SU9Pp3///nz33XcA3HnnncyYMYN+/foxa9YsVqxYwZQpU6pdv3jxYlJTU0lPT2fs2LHVjr/+8kruG/df/Hyhemz9mvjyyy8ZOHAgXbt2JScnhy+++AKAO+64g7y8PPr160f79u3ZunUrEyZMoGPHjtx9992AocQSEhKYPn06WVlZDBgwgKKiIpf3WrJkCddeey0ZGRmMHj2aCxcucPLkSdq2bWsLiHf27FlatWpFWVkZO3fuJD09nV69evHggw+SmVl9UvCqKxrRoVkjYlwsKrrcTGf2RNRxoZaJ6Y0VWsXHvyGS1HgbM1pBbWEuUqu4YQdzaI+a+Oe0HN6Z1ten9wiokUJt1Naj9yV5eXmkp6fz0EMPOeyfMmUK48ePZ8KECbzwwgvcf//9vPnmmwB88cUXbN68mZCQEFasWOG03IULF3L48GEiIiIoLi52OPanP/2JD979B08vXU1UlGeJUiZNmsTSpUtp374927dvZ8qUKWzaZPiyl5SUsGXLFl5//XVuuukmduzYQceOHcnKymL//v107NiRkpISevTowVNPPcUjjzzC73//e55++mmn9xo9ejSTJ08GYPbs2axYsYJ7772X1NRU8vPz6du3L+vXr2fw4MGEhoYyceJEVq5cSXZ2Ng888IDTMmsLa3C5hDJxRn3zJ5uL+Ewff9MWXTXnQjBQOdFcs0zM1rDkjiy+P3mB5vENk8+4obnaiTXF21y+3S0vExcXx/jx41m8eLHD/h07dnDbbbcBMG7cOPLz823HRo8eTUhIzY05PT2d22+/nVWrVhEaWqmjX3rpJd555x2eeP5FwiMiPAqbXVxczM6dOxk1ahSZmZnk5eXx44+VawdvuukmANLS0mjZsiWpqalYLBZSU1MpKCgAjNHR6NGjAWN0Yf9cVdm7dy99+/YlLS2NtWvX8tlnnwEwZswYXnnlFQDWrl3LmDFjOHHiBJcuXSI72wiFZcrOU4Kx1+su9R0p2NYlWP+ao6oyXwTf9xGr7+nOfddXetjUphQuWtvDlc0a1dlNWWOglYIHTJs2jWXLlnHu3DmX59jPgcTE1G73fuutt8jLy+OTTz6ha9eulJUZdt/OnTtTUFDA0SPmy9x9rSAiJCUlsXv3bttn//79tuMREYZXk8VisW2b3837V/XOqclbZ/z48Tz33HPs27ePuXPn8vPPPwMwYsQINm7cSFFREfv27eO6665zml+hLlz0QSCwQKG+EUFNj53QKkrBnYx1gULvK5N4yC4/sqng+lzpfE7PjAFU1xhJmkqCQoLxUWEkRPs/9n3jxo255ZZbWLZsmW1fr169WLt2LQCrV6+mTx/3oy5WVFTw/fff069fPxYtWkRxcTFnz54FoEuXLvzlL39h6l23cuynIx55UyQmJtKiRQveeOMN23327NnjQQlQWlrKunXrAHj55ZdrfK5z587RvHlzSktLefnll2374+Li6NKlC9OmTWPYsGFYLBaaNm1KWFgYu3btArDJzlOC6QXnKfV1lzXnEsy/ra0B4XL9nB+gvmyffQN/Hd/N6bFhmS2BwMqREawEhVJo3SSGVgESyGvmzJmcOHHC9n3x4sUsX76c9PR0XnrpJf74xz+6XVZ5eTl33HEHaWlpdOnShenTp5OQUOlr3qdPH2bM/T1T7hzDiaITNZRUnbVr17JkyRIyMjLo1KkTGzdu9Oj6+Ph4Pv30U7KyssjPz2fu3Lkuz3300UfJzs5mwIABpKY6ZrQaM2YMq1atYsyYMbZ9L7zwAhMnTqRXr15YLBbi46uHI6iNy3Qe0YG6xioyRwbmnEKL+Cj2zc91K291IJOcEOWwYNOeWQM7sv93A4kOD6pp0oBEeWs47w26desmZg/S5ODBg1xzjXdjewQTe62B4tKS4xtswVVZWRlJSUnVJr69xdmzZ4mNNVwtFyxYwMmTJ3niiSdcnr/XLlje0e++4VcbjpDVKoF19/X2Sf0Cgb2FxTSPi6RZHXJn/M/GAyzNP0y31om8dm8vH9ROE2gopT4REefDKA/RalXT4GzYsIFFixZRVlZGmzZtXHpm1UQgr0j2BukpCbWf5AJzEWggh/LQBC5aKQQ4cZFhnP65lClTprB9+3aHY1OnTmXixIlev2doaKjTUcLkyZPZuXOnw74ZM2Ywfvx4j8q/7bbb6uR11LpJDOeOGuYD/bpzjemCejmv5dD4Dq0UApxWTaIprxDb6mV/smTJEr/ePyrMYrMpX66Lk7yBOZegRaSpC1opBDgWpbAEcUAzb6CUsrqyKsJCLCTFRjAj96par/tPJZgD4Gn8j1YKmoDHoqBcjJ6vRSl2za1LMsD/HAI5V4Qm8NFGR03AY5qKAshRLqBxFm1Yo3EX3Xo0AY/pr687wO5hTjRrJaqpC1opuIFSinHjxtm+l5WV0bRpU4YOHerHWjlnwYIFtrwKISEhtu2qMZuCieZxkaS2iNM9YDcxJ5o1mroQXHMK78yGn/Z5t8zmaTBoYY2nxMTEsH//fi5cuEBUVBTvvvsuycnJ3q2Hl5gzZw5z5swBIDY29rLIsRDs2cMaGlNWclllNdc0FLpL4SaDBg3irbfeAmDNmjXceuuttmMnT55kxIgRpKen06NHD/bu3QvABx98YOupd+nShTNnzgCwaNEi0tLSyMjIYPbs2QDs3r2bHj16kJ6ezsiRIzl16hTHjh2ja9euAOzZswellC1fQ/v27Tl//jyecPToUW6++Wa6detGdna2bc3B3LlzufPOO8nNzaVNmza8+eabzJw5k86dOzNkyBBbkLyUlBRmz55NdnY23bt355tvvnF5r/Xr19O9e3e6dOlCbm4ux44do7y8nNatW3P6tJEoSURo164dJ06c4Msvv6R79+5kZ2czb948h3AfGs9oqLSNmssUEQmYT9euXaUqBw4cqLavoYmJiZE9e/bIqFGj5MKFC5KRkSFbtmyRIUOGiIjIlClTZP78+SIi8t5770lGRoaIiAwdOlTy8/NFROTMmTNSWloqb7/9tvTs2VPOnTsnIiJFRUUiIpKWlibvv/++iIjMmzdPpk6dKiIiqampUlJSIs8884x069ZNVq1aJQUFBdKjRw+36m3PLbfcIjt27BARkcOHD0unTp1ERGTOnDmSk5MjpaWlsmvXLomKipJNmzbZnuHvf/+7iIgkJyfLwoULRURk2bJlMnz4cJf3PnnypFRUVIiIyHPPPScPPfSQiIjcd9998uKLL4qISH5+vgwcOFBERAYOHCivvvqqiIg888wzEh8f77TcQGgPgc763T9I61kb5dbnd/i7KpoGAtglXnoP65GCm6Snp1NQUMCaNWsYPHiww7H8/HzbnMMNN9xAUVERJSUl9O7dmxkzZrB48WKKi4sJDQ1l8+bNTJw4kehoI8Bf48aNKSkpobi4mOuuM/LxTpgwga1btwJGFNbt27ezdetWfvOb37B161a2bdtG376eZ1/avHkzkydPJjMzkxEjRnDq1CkuWDO6mQlw0tLSABgwwEiInpaWZsuxANhGSLfffjsffvihy3t999135ObmkpaWxpNPPlljjgWAjz76iFGjRgF1z7GgMYi0ht6+nBMRaXyHVgoeMGzYMB544AEH0xHgNEeAUorZs2ezdOlSLly4QI8ePTh06BAi4lHcnr59+7Jt2za+/fZbhg8fzp49e8jPzycnJ8fj+osI//73v205Fn744QdbRjf7HAvh4ZXhh+1zLJjP5Q55eXlMnz6dffv28ec//9mWY6Fv374cOHCAoqIiNmzYwMiRIz1+Dk3NxFjzGl8su3zDi2t8h1YKHnDXXXfxyCOP2HrTJjk5OaxevRqA999/n6SkJOLi4vj6669JS0tj1qxZdOvWjUOHDpGbm8sLL7xgmw84efIk8fHxJCYmsm3bNsDIumaOGnJycli1ahUdOnTAYrHQuHFj3n77bXr39jxC6I033ugQLqMuk9BmL3/NmjU11qGkpITk5GREhJUrV9r2K6UYPnw406ZNIyMjwzZ3kJ2dbcv/UNccCxoDc11HuJ5b0NSB4PI+8jMpKSlMnTq12v758+czceJE0tPTiY6Otr0En376abZs2UJISAipqakMGjSIiIgIdu/eTbdu3QgPD2fw4MH84Q9/YOXKlUyePJnz58/Trl07li9fDkCbNm0AbCODPn36UFhYSGJiosf1f/bZZ7n33ntZvnw5ZWVl9OvXz+OYSufPnyc7OxulFGvWrHF53vz58xk5ciQpKSlkZ2dz5MgR27ExY8bQs2dPVq1aZdu3ePFixo0bx2OPPcbgwYPrlGNBY1BhHbkmBkBiKk3wofMpaNwmJSWF/fv3+8Qz6Ny5c0RHR6OUYtWqVbzxxhu8/vrr1c7T7aF2yiuExzd9zt192pIUG1H7BZqgR+dT0Fx2fPzxx0ybNo2KigoSExNtIyWN54RYFLPs8htrNJ5QL6WglPpf4CbgEvA1MFFEiq3HHgbuBsqB+0Xkn/Wsq6YKCxYs4G9/+5vDvtGjR9sWr3mbwsLCavseffRRWy5nk7Fjx9rWX7jL9ddff1kstNNogp16mY+UUrnAv0SkTCn1GICIzFJKpQJrgGygJbAZuEpEymsqz5X5qGPHjpd9pi1N7YgIhw4d0uYjjaYK3jQf1cv7SEQ2iYjpr7gTSLFuDwfWishFETkMfIWhIDwmMjKSoqIip26fmv8cRISioiIiIz3PWazRaNzHm3MKdwGvWLeTMZSESaF1XzWUUpOASQCtWrWqdjwlJYXCwkKOHz/uxapqgpHIyEhSUlJqP1Gj0dSZWpWCUmoz0NzJoTkist56zhygDFhtXubkfKddfRF5HngeDPNR1eNhYWG0bdu2tmpqNBqNxgvUqhREpMY0V0qpCcBQoL9U2ngKgV/YnZYC/FjXSmo0Go2mYajXnIJS6pfALGCYiNiH7NwAjFVKRSil2gIdgH/X514ajUaj8T31nVP4ExABvGv1DtopIpNF5DOl1KvAAQyzUl5tnkcajUaj8T8BtaJZKXUG+LyexcQDJX683ltlJAEn/FwPLQvvXe+tMrQsKtGyqORqEWlUzzIMvBWD2xsfvBATHHjen9d7sQwtCy0LLQstiwaThfm5HKOk/t3P13urDG+gZVGJlkUlWhaVaFlUIdDMR7vES6vygh0ti0q0LCrRsqhEy6ISb8oi0EYKz/u7AgGElkUlWhaVaFlUomVRiddkEVAjBY1Go9H4l0AbKWg0Go3Gj2iloNFoNBobPlUKSqlfKKW2KKUOKqU+U0pNte5vrJR6Vyn1pfVvonV/R6XUDqXURaXUA1XKKlBK7VNK7VZK7XJ2v0DGy7JIUEq9ppQ6ZC2vpz+eqa54SxZKqaut7cH8nFZKTfPXc9UFL7eL6dYy9iul1iilgiqkrJdlMdUqh8+CrU1AnWRxu1Jqr/XzoVIqw66sXyqlPldKfaWUqj3Ribd8W134zrYAsqzbjYAvgFRgETDbun828Jh1uxlwLbAAeKBKWQVAki/rG0SyWAncY90OBxL8/Xz+koVdmSHAT0Brfz+fP2SBEYX4MBBl/f4qcKe/n89PsugM7AeiMaI2bAY6+Pv5fCyLXkCidXsQ8JF1OwQjAVo767tiD5Ba0719OlIQkSMi8ql1+wxwEKPxDsd4sWH9OxQpK7EAAAMHSURBVMJ6zjER+Rgo9WW9/IG3ZKGUigNygGXW8y6JNdtdsOCjdtEf+FpEvvVZxX2Al2URCkQppUIxXohBFYTSi7K4BiPkznkx8r18AIxsgEfwGnWQxYcicsq63z63TTbwlYh8IyKXgLXWMlzSYHMKSqk2QBfgI+AKETkCxsNjaPzaEGCTUuoTZeRgCFrqKYt2wHFguVLq/5RSS5VSMT6srk/xQrswGYuR7S9oqY8sROQH4HHgO+AIUCIim3xZX19Sz3axH8hRSjVRSkUDg3GM2hxU1EEWdwPvWLeTge/tjrnMbWPSIEpBKRULvA5ME5HTdSymt4hkYQyN8pRSOV6rYAPiBVmEAlnAcyLSBTiHMYwMOrzULlBKhQPDgL/Vdm6gUl9ZWG3Lw4G2GClwY5RSd3i3lg1DfWUhIgeBx4B3gX9gmEzKarwoQPFUFkqpfhhKYZa5y8lpNa5D8LlSUEqFYTzUahExM7wfVUq1sB5vARyrrRwR+dH69xjwBnVM7+lPvCSLQqBQRD6yfn8NQ0kEFd5qF1YGAZ+KyFHv19T3eEkWNwKHReS4iJQC6zDszEGFF98Xy0QkS0RygJPAl76qs6/wVBZKqXRgKTBcRIqsuz3ObeNr7yOFYfs+KCJP2h3aAEywbk8A1tdSToxSqpG5DeRiDBGDBm/JQkR+Ar5XSl1t3dUfI0R50OAtWdhxK0FqOvKiLL4Deiiloq1l9sewQwcN3mwXSqlm1r+tgJsJsvbhqSysz7kOGCciX9id/zHQQSnV1jqiHmstwzU+nkHvgzFU2Qvstn4GA02A9zC093tAY+v5zTE022mg2Lodh2FH32P9fIaRCtTvHgL+kIX1WCawy1rWm1i9DoLl42VZRANFQLy/nysAZPE74BBGh+klIMLfz+dHWWzD6CztwcgK6ffn87EslgKn7M7dZVfWYAzvpa/deXfqMBcajUajsaFXNGs0Go3GhlYKGo1Go7GhlYJGo9FobGiloNFoNBobWiloNBqNxoZWChqNRqOxoZWCRqPRaGz8f2jKrJpsAp39AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.loc[:, ['Norilsk_Temp_avg', 'Moscow_Temp_avg']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 8))\n",
    "\n",
    "ax = ax or plt.gca()\n",
    "\n",
    "# ax.set_title('Median air temperarute', y=1.01, fontsize=19, fontweight='bold')\n",
    "ax.plot(df.loc[:, ['Norilsk_Temp_avg', 'Moscow_Temp_avg']])\n",
    "# ax.plot(np.arange(0, 1.1, 0.1), np.arange(0, 1.1, 0.1), color='black', linestyle='dashed')\n",
    "\n",
    "# ax.text(text_x_pos, text_y_pos, f'$RMSE={round(rmse, 4)}$', fontsize=12, fontweight='bold')\n",
    "ax.set_ylabel('Temperature (°C)', fontsize = 15)\n",
    "ax.set_xlabel('Date (Years)', fontsize = 15)\n",
    "ax.legend(['Norilsk', 'Moscow area'])\n",
    "ax.grid()\n",
    "fig.savefig('exploit_conds_temps.png')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Moscow'] = round(df['Moscow_Temp_avg'])\n",
    "df['Norilsk'] = round(df['Norilsk_Temp_avg'])\n",
    "\n",
    "df['date'] = df.index\n",
    "\n",
    "sm_data_msk = data_zone1[data_zone1['Ta'].isin(df['Moscow'])]\n",
    "sm_data_msk = sm_data_msk.merge(df.loc[:,['Moscow', 'date']], left_on='Ta', right_on='Moscow')\n",
    "sm_data_msk = sm_data_msk.sort_values(by='date')\n",
    "sm_data_msk.index = sm_data_msk['date']\n",
    "\n",
    "sm_data_nrsk = data_zone1[data_zone1['Ta'].isin(df['Norilsk'])]\n",
    "sm_data_nrsk = sm_data_nrsk.merge(df.loc[:,['Norilsk', 'date']], left_on='Ta', right_on='Norilsk')\n",
    "sm_data_nrsk = sm_data_nrsk.sort_values(by='date')\n",
    "sm_data_nrsk.index = sm_data_nrsk['date']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date\n",
       "2015-01-01    1.827539e-14\n",
       "2015-01-02    4.690695e-14\n",
       "2015-01-03    9.148219e-14\n",
       "2015-01-04    1.974875e-13\n",
       "2015-01-05    2.261191e-13\n",
       "                  ...     \n",
       "2019-12-28    4.177981e-08\n",
       "2019-12-29    4.177984e-08\n",
       "2019-12-30    4.177988e-08\n",
       "2019-12-31    4.177999e-08\n",
       "2020-01-01    4.178003e-08\n",
       "Name: Damage, Length: 1824, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sm_data_nrsk['Damage'].cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 8))\n",
    "\n",
    "ax = ax or plt.gca()\n",
    "\n",
    "# ax.set_title('Blade damage', y=1.01, fontsize=19, fontweight='bold')\n",
    "ax.step(sm_data_nrsk.index, sm_data_nrsk['Damage'].cumsum(), linewidth=2.5)\n",
    "ax.step(sm_data_msk.index, sm_data_msk['Damage'].cumsum(), linewidth=2.5)\n",
    "# ax.plot(np.arange(0, 1.1, 0.1), np.arange(0, 1.1, 0.1), color='black', linestyle='dashed')\n",
    "\n",
    "# ax.text(text_x_pos, text_y_pos, f'$RMSE={round(rmse, 4)}$', fontsize=12, fontweight='bold')\n",
    "ax.set_yscale(\"log\")\n",
    "# ax.set_ylim(0, 0.0005, 0.000005)\n",
    "ax.set_ylabel('Damage', fontsize = 15)\n",
    "ax.set_xlabel('Date (Years)', fontsize = 15)\n",
    "ax.legend(['Norilsk', 'Moscow area'])\n",
    "ax.grid()\n",
    "# fig.savefig('exploit_conds_damage.png')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b9fd9010c8>"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sm_data_msk.Damage.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b9fd95b248>"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sm_data_nrsk.Damage.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Moscow - Kerch__ temperatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "msk_temp = pd.read_csv('Moscow.csv')\n",
    "krd_temp = pd.read_csv('Kerch.csv')\n",
    "\n",
    "msk_temp.index = pd.to_datetime(msk_temp['DATE'])\n",
    "krd_temp.index = pd.to_datetime(krd_temp['DATE'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 6))\n",
    "\n",
    "ax = ax or plt.gca()\n",
    "\n",
    "# ax.set_title('Median air temperarute', y=1.01, fontsize=19, fontweight='bold')\n",
    "ax.plot(msk_temp['TAVG'], label='Moscow area')\n",
    "ax.plot(krd_temp['TAVG'], label='Krasnodar area')\n",
    "\n",
    "# line1.set_legend('Krasnodar area')\n",
    "# line2.set_legend('Moscow area')\n",
    "\n",
    "# ax.plot(np.arange(0, 1.1, 0.1), np.arange(0, 1.1, 0.1), color='black', linestyle='dashed')\n",
    "\n",
    "# ax.text(text_x_pos, text_y_pos, f'$RMSE={round(rmse, 4)}$', fontsize=12, fontweight='bold')\n",
    "ax.set_ylabel('Temperature (°C)', fontsize=16)\n",
    "ax.set_xlabel('Date (Years)', fontsize=16)\n",
    "# ax.legend((line1, line2), ('Krasnodar area', 'Moscow area'))\n",
    "ax.legend(fontsize=13)\n",
    "ax.grid()\n",
    "fig.savefig('exploit_conds_temps.pdf', format='pdf')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "msk_temp['TAVG'][msk_temp['TAVG'] < -17] = -15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19a668e0dc8>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+DkXP8ATJiQ4yfTRD8+fO3WuZmHLx86MXPLc5R6cYm3TN6LiZnpzIbZdWsH9WwAjUfx88R+/wBO/fuy7ox9rKc4JfMLZSFoqBBgGlFt2rrU7u+t5h8jOT+dQNG5mcNpzrGV7wcU+d7OSl5n5ebYtc981A9AxNUJCRPCftM58t5dlcsjqXHx1u9uT7273WCHi7Y/caJqZcPOQVMAIxMjHFt59p5OqaQi5fO3dnr0BV5KYF3T/I7htUlKnVQUqpIP3kyHkmXS4e/OAeXldjTarWd/hvtWBrcFfBPHWyM6rXN1vv8ETQ7RgA3rV7Dac7h3ihycr320Fgdu/9LeXZ7Fydy48OnQtqgvgHz5+jZ3iCj183f7fQhZTnptHuHGMqgNGYTUcCSqmQNXQOsqEki/LcNNYXZyIC9R3zTw6PTU57RgtP1y/uNqw9wxMhtXu+5RI7338OuLijWGn23E/Pd165hjNdw56AsZCRiSm+/Wz4owCwgsC0y9AxGPjK5a7BcbJSEklLTgjruWOBBgGlFll9xxA1xVmA1fd+dV46DQuMBBq7hnEZqC7K4KXmvpDy56HqGRqnIISRgJ3vP1DXTt/whGck4Kus0p4gfvBwYBPEX3/yNL3DE3z8ug1BX9dsFXnBrxXoGhynaAWUh4IGAaUWVf/IBF2D42woubiwaUNJ5oIjgYZO6/4PXl2Fy8DvG0Lf3jFYoaaD4GK+/+cvXaDdOUZ+RrJndbG39OREbrmkjEePtzM2Of8m9t946jT//vQZ3nb5Ks+mNuGo8NphLFBdK2ShGEQoCIjIf4hIp4jUed2WLyK/E5EG95/h/2sptczZef0NJVme29YXZ3G2e3jeCqH6jkESHMJtl1aQl57EU6cWZ15gdMLqG1SQGVoQ8M73dwyMzZkU9nbz9nJGJqZ5ep6/2zeeOs0XHz3FrTvL+ee3bg/pmmaryE0n0SGcaAt8vUbn4BjF8/xdlpNIjQQeAG6cddungSeMMTXAE+6flYpr9if+mlkjgSmXoanbf4VQfccQ6wrSSU1K4OqaIp6t75q3VPS5091c+YXH6R0OL21krxEIJR1ks/P9fzzTQ+k8KZQ9VfnkZyT77ULqHQC+/PZLSAxhcZgvackJXLY2j2eCmGvRkcAsxphngd5ZN98KfN/9/feB2yLxXEotZw0dQ6QnJ1DutbG5PSqYr0LodOeQ57hrNhXRPTTB8Vb/paLPn+mhwznO82d6wrpeO4gUZIT+hmfn+0cnp+dUBnlLTHBww9ZSnjjRMSclFK0AYLtmYzEn2pyeVtfzGR6fYnhiekW0jIDozgmUGGPaANx/Fvs6SETuEZEjInKkq2txqx6UWmz1HYPUFGfO6EFfXTR/hZBdGVTjDgKvqylChHnTJmfcrZyfbwxv7qDH3TIiP8R0EFj5/tsvqwDmrhGY7ebtZXNSQnYAuG1nOV95x86IBwCAfRutUt1nTi38HuQpD9WRQGQYY+43xuwyxuwqKipa+AFKLWMNnUOeN3NbWnICa/LTOd3peyRwpmsIl4Ead5fMgswUtpXn8Hyj/0/5dnvlg42zB+jB6fGMBMLbPevOK9fgEKhcoN3z7JTQ155o4IuPnuL2Syv48jt2khClDVw2lWZRmp3K0/ULz7V0rqA1AhDdINAhImUA7j8Xd4WLUjHGV2WQrabYf4WQXT7qPZm8tiDdbzXLtMtwtmeY9OQETncOeT65hqLXnhMI81PvptJsnv6ra7hlR/m8x3mnhL782Cm+/Lt63nppBV96+yVRCwBgNcPbt7GI39d3L9jCw7PBvKaDFvQr4C7393cBv4zicykV8+yc/+yRgH3b2e5hJqbmvgE1dFqVQd6fokuzU2l3jvlcYXuhb5SJKRe37rRSMIfOhj4v0DNk9Q3KiMCiqDUF6QG9kd+yw0oJfe3J07z10gq+GOUAYNu3sYjB8SmOzupoaozhj6e7OXzWGlV1uZvHaTrIi4g8CDwPbBSRFhG5G/hn4HoRaQCud/+sVNyyP+lv8BEEPBVCPnoI2ZVByYkX/7uW5qQyNunCOTo15/gz3VawuXVnORnJCRz0ShtNu0xQrRl6hicoDLJvULiurMxnc1k277xi9aIFALA2yUl0iGdFtjGGZ+u7+JNv/pE7v3uI93zvEI1dQ3QOjpPoEPKW+QbztsDbAs7DGHOHn7uujcT5lVoJTncOkZGcQLmPChl7BXFDx9CcINHQMcjmspmtku0J1nbnGDnpSTPuO+O1FuGKynzPvMDElIu3f+uPbKvI4fO3B1Zj3zs8EdakcCgSExwc+OjeRQ08AFmpSexal8dTJzvZU1XAfY/Xc7S5n/KcVP7u5s382xMNfOpnx1hbkE5hZsqy32DetuQTw0rFi/qOQdaXZPl8c7MrhE7NmhcYm5zmXO/InBSSXWrZ7qOksbF7mLz0JPIzktlTVeCZF/j6kw280jLAKy39AV9zz9D4nG0lF8NiBwDbvo3FnGwf5K7/OEz7wBifv30bT3/qGj5wdRWffctWXjzXx2+Ota2Y+QDQIKDUoqnvGGKDn31w05IT2FyazXOnZ5Z0nukawhjmTCbbTdjspmwzHtM5RFWRdfyeqgIAvveHs3zj6TMkOoSWvsDbI9jpoHhx685yrq4p9Lz5v+vKtZ403O2XVnDd5mImplwrZj4ANAgotSj6hifoHhr3OR9gu2l7KS+e66Nt4OKb9BF3V81Ns3bOsj+J+hsJVBdZk8jbyrPJSE7gW8+coTAzmQ++ror+kUkGxyYDuu5w+gYtR2U5afzg7itnvPnbRIQv3L6dvPQk1hbMX+q6nGgQUGoRnGyf2y5itpu2lwFwwF0jb4zhwcPNbC3P9ryp21ISE8jPSJ4TBJxjk3QNjntGAokJDq6otFot/9Nbt7O13Aomgeypa/cNWuw5gVhWnJ3KE5/cx1/fuHGpLyViNAgotQiePNlBUoJw6Wr/fRSrijLZXJbNgdo2AF4+38/J9kHuvHKNzxx5SXbqnHSQvUisuuhisPnYtTV84fbtvGFTCavy0gFo6V04CNh9gwqXYE4gluVnJJOatPz3EbBpEFAqyowxHKht5+qaojmVPLPdsqOMF8/10do/yo8ONZOenMBbLvG9wKo0O2XOSMCuDKryGjlcuiaPO69cA8Aqd+/8lr6RBa/b0zIijtJB8UiDgFJR9vL5fi70j3rSPfOxj/nJkfP8+lgrt+4sJyvVd+AozUmd0/CssXuIRIewJj/d52MKMpJJTXIENDnsaR6n6aAVTYOAUlF2oLaNpATh+i0lCx5bWZjBlrJsvv7kacYmXdyxe43fY0uyU+kempixyvhM5zBrCtJJ8tNkTURYlZceUBDoiUAHURX7NAgoFUUzUkFp86eCbDfvKGPKZdhWkc2OVbl+j7PLRDsHL44GGruHqCr0P/kMsDovjZb+QNJB1pyATgyvbBoElIoiOxV0cwCpINstO8pIShD+7Kp18x5X4l4wZqeEpl2Gpu4RqovnL18MdCTQOzxBSoT6BqnYFZG2EUop3/Yfs1JB1wWQCrKtLcjg0GeuI2+BSWR7JNA+YH1iP987wsS0i+oFRgKr8tI8awX8zTcAtA6MUbDIfYPU4tORgFJRYozht3XtvC6IVJAtP4A339Lsma0jjri7X16y2n8KCbhYJjrPaKBtYJRH69p5/Ubd42Ol0yCgVJQcb3VyoX+UG7eVRuX8uelJJCc6POmgg4095Gckezaf8edimaj/IPDNp8/gMoa/2Lc+chesYpIGAaWixN4icd9Gnzurhk1ErH0FBi4GgSsr8xfsbrnQWoHW/lF+fPg8b9+1mtV+Sk3VyqFBQKkoefpUF9srcqK6DaG9ucz53hFa+kY9DePmk5+RTFpSgmck0DM0zr0/OsrDL7UwNe3im0+fwWC495rqqF23ih06MaxUFAyMTHK0uY97r4luOqUkJ5VjLf2ejWMCCQLWWoE0z0jgvw82s/9YG/uPtfFvT5zmQt8ob9+12jN3oFa2qI8ERKRJRGpF5GURORLt51MqFjzb0IXLRC8VZCvNTqF9YIznA5wPsFlBYJRpl+F/XmjmtesL+Na7Lyc1KYGkBOEv9ukoIF4s1kjgGmNM98KHKbUyPH2qi9z0JHYuUKkTrpLsVManXDx5spOrqgoC3u1qdX46R5v7eaa+k9aBMf7uli3cuK2UN24pYXRymowUTRLEC50TUCpE53tH+MHzTXP27HW5DM/Ud3F1TVHU98e1dxjrH5nkquqFU0G2VXlpDIxO8u1nGinMTPG0tHA4RANAnFmMf20DPCYiBvi2MeZ+7ztF5B7gHoA1a/z3SVEqlkxOu/jQf7/I8VYnJdmpvHHrxTLQV9ucdA+Ns29D9Gvs7bUCENh8gM3O9x8628tf7Kv222tIrXyL8S//WmPMZcCbgHtF5HXedxpj7jfG7DLG7Coq0oUpann496fOcLzVSXZqIl99vGHGaMAuDV2MhVb2hvPBzAfAxTJRgHdeoR++4lnUg4AxptX9ZyfwMLA72s+pVDS92urka0828JZLyvn7N2/l1TYnj73aAcD41DT7a9vZsSqHwkXYh9YOAnuq8oNq72CPBK6uKWRNgVYBxbOoBgERyRCRLPt74I1AXTSfU6lompx28Vc/fYXc9GQ+95at3LqznMrCDO57vIGxyWk+/N9HOdHm5O69lYtyPcmJDj55/Qbu3lsV1OPy0pP4i33V/O8bN0XpytRyEe05gRLgYfcnlETgR8aYR6L8nEpFzZMnO3m1zcnX77yUPPeOW3/5hvX8r5+8wpu/9gcaOof4wu3buXVnxaJd019eWxP0Y0SEv9YAoIjySMAY02iMucT9tdUY8/loPp9Sth8838SffPOPET/v06c6yUxJ5AavieC3XGKNBuwAYG/lqNRyoLVgakV67NUOXjzXx+S0K2KVL8YYnj7Vxd71hTPOmZjg4P73XE6Hc5y9NYUReS6lFovWhakVxxhD7YUBAPpGJkI+T9/wBEPjU56f6zuGaBsYY5+Pqp+akiwNAGpZ0iCgVpyWvlH6RyaBi5ulh+J9D7zA+x94wVP+uZiln0otFg0CasWxRwEAPUOhBQGXy3Cizcnhs708d9pqzvbUqU42lWZRlpO2wKOVWj40CKgVZ0YQCHEk0DE4xviUC4CvPl7P4NgkR5r6ot4QTqnFpkFArTh1FwYod/fU6R0aD+kcZ7uHAbhxaylHzvXxL4+cYsplfM4HKLWcaRBQK4oxhmMtA+ytKcQhoY8EzvVYvfb/+saNlOWk8oOD58hKSeTytXmRvFyllpwGAbWitPSNMjA6yY5VueRnJIccBJq6h0lOdLCuIIO/cG8Ms7emUButqRVH1wmoFcWeD9ixKscKAmGkg9bmp+NwCO/YtYpn67t415VrI3mpSsUEDQJqRTnWMkBSgrCxNIv8jOSQS0TP9YywtiADgJTEBL7zZ7sieZlKxQwd26oVpe7CABtKskhJTKAgMyWkdJDLZWjqGaayULtrqpVPg4BaMeyVwtsrcgAoyEgOaZ2AXR5qjwSUWsk0CKgV43yvNSm8fZUdBFIYGJ1kctoV1Hns8tDKQg0CauXTIKBWjLpWa1LYHgnkZ1qtnvuCTAk1dVvloes0CKg4oEFArRin2gcRgZriLMBKB0HwawXO9VjloWVe+/cqtVLFfBC40D8a9Cc5FZ8aOgdZk59OWnICcDEIBFsh5F0eqtRKF/UgICI3isgpETktIp8O9vHv/88X+MKBE9G4NLXCNHQMeUYBAAXudFB3kGsFzvWMaCpIxY1o7zGcAHwDeBOwBbhDRLYE+nhjDGd7hml3jkXrEtUKMTHl4mz3MBtKMj235WdYG70HMxKwy0PX6ebrKk5EeySwGzjt3mZyAvgxcGugD+4dnmBiysXA6GTULlBFxnOnu6nz6t4ZbY/UtXOma8jzc1PPMFMuQ41XEMhNS7L6BwVRJtrutMpDdSSg4kW0g0AFcN7r5xb3bR4ico+IHBGRI11dXTMe3DZgjQA0CMS+T/30FT77q+OL8ly9wxPc+6OjfOWxes9t9R2DADPSQQ6HBN0/qKnHKg9dp2sEVJyIdhDwNbNmZvxgzP3GmF3GmF1FRTPb9GoQWB6cY5O0DozxSks/IxNTCz8gTI8eb13a1TAAACAASURBVGfaZTjY2OPZ9auhYwiHwPrizBnHWq0jAp8T0PJQFW+i3TuoBVjt9fMqoDXQB7cPjALgHJ3E5TJarRGjTndaaZnJacPRc/1h77XbPjDG3/z8GGOT1iKvtQXpfOH27Z5///3H2gCr9PN05xA1JVmeyqDUpIQZ5yrISAkqHdSk5aEqzkR7JPACUCMilSKSDLwT+FWgD251jwRcBoYW4ROmCk2DOxUDcLCxJ+zzPX2qk6dOdTE2Nc3Q+BQ/fuE8jxxvB6BnaJznG3t4yyXlADzvfr76DisYzJafGVwTud83dLO9Ikc/cKi4EdUgYIyZAj4CPAqcAH5ijAk4cdw+cLEqaGBEU0Kxqr5jiNQkB5esyolIEKjvGCItKYGHPvQafnHva6kuyuC+xxtwuQyPHu9g2mX489dXUZGbxsHGHiamXDR1D1MzKxUE1lqBQEtEG7uGONHm5ObtZWH/HZRaLqK+TsAYc8AYs8EYU22M+Xwwj23tH/V8r/MCsauhc4j1xZlcVV0YkXmBhs5B1hdn4nAICQ7ho9fWcKpjkEeOt3Ogto3Kwgy2lGVzZVU+Bxt7OdttVQZt8DESKMhIwTk2FVD/oAO1VprpTdtLw7p+pZaTmF4x3O4coyTbqvXWIBC7GjoGqSnOYk9VPpPThhfP9YV5vqEZn+pv2VFOdVEG//LISf54ppubtpciIuypKqB3eIL97jdv7/JQWzD9g/bXtrNrbR5lOWlhXb9Sy0nMBgFjDG0DY2wqzQY0CMQq59gkbQNj1JRkcsW6fBIcElZKaGB0knbn2Iz8vj0aaOoZwWXg5u3WfMBVVQUAPHi4GYdAdZHvdBBA9wKTw2fcqaCbNBWk4kzMBgF7odimMuvNQINAbGrosCqDNhRnkZGSyI5VORxs7A35fKc7rUnmDbM+1d+yo5z1xZlUF2Ww2f2aWJWXRkVuGl2D4z4rgyDw/kEH3BVHGgRUvInZIGCvEdisI4GYZr9p26mYPVUFvHI+9HkBT1CZld9PcAg/uHs3D7xvNyJW5Y6dErKef+58AFzsH9SzwFqB/bVt7FqbR2mOloaq+BLzQaCyMIOkBNEgEKPsyqDVeVavnT1VBUy5Qp8XsCuDKnLn5uXLctJYnT+zp8+eqnxg7sjBZvcPmm+twJmuIU62D3LzDh0FqPgTw0HAqgwqy00lJy1Jg0CMqu+4WMkDsGttHimJDn7xUsBrAmfwrgwKxN6aQtKSErhiXb7P++3+QfOlgx5/tQOAG7dpVZCKPzEcBMZIShAKM1LI1iAQs053DrHBq19PRkoi796zll+8fIEm9zaNwajvGPRZ5eNPWU4ar/z9G9m3sdjn/Rf7B/lPBx1s7KG6KEOrglRcit0g0D9KSXYqDodYIwFdLBZz7Mqg9bPetP/89VUkOoSvPXk6qPMNjE7S4Rz3We8/n+TE+V/G+fNsOD817eKFpj7P3IJS8SZ2g8DAGOXuT2aaDopN3pVB3oqzUkMaDXgmmX2s/A1HaU4aF7wWHno73upkaHxKg4CKWzEdBOxKDQ0CscnuGeTrk/ufv76KpITgRgP1fiqDwlVTnMnpziGmXWbOffaahiurfM8pKLXSxWQQMMbQPjBGWa4GgVh2qmOQ1CQHq/Lm5tKLs1J595VrefilFs73jgR0vvqOQb+VQeHYUJLJ+JTL53XY8wHFWVoaquJTTAaBnuEJJqZdnna+uWlJOMesdtIqNhhjeOZUF5evzfNbyfPmS8pxGTjZPujz/tmsttCBVwYFyl5D0NA5NON2ez7gqmpNBan4FZNBwO4eWub+RJidloQxMDgeu+2k7c1N4sWJtkEau4fnXWHrWagVYBdPu9w00uxz1nfMDEZ1Oh+gVGwGAbt7aJnXnABYm8vEohNtTq76pyf5v7+si5vRyoHaNhwCN271X1tfYC/UCqB5m3PMqgyqKY7sfABAdmoSZTmpM/Y9AK/5gEoNAip+xWQQaHe6RwJe1UEQm60jTrQ5ufM7Bxkcm+S/nj/H3/6idsUHAmMM+2vbeE11IQWZKX6PS0tOID05IaBNXTqd1mihPDc6ufmakizPxLPtYGMP64szKcry/3dQaqWLySDQ2m8tFLObf0UjCIxNTtPSF9iEpT+vtloBIDUpgf0fvZqPXLOeBw+f5zMPr+xAcKJtkLMLpIJsVo3+wukgO1Dku//NI21DcSZnui5WCE1Nu3jhbK+n7YRS8SpqQUBEPisiF0TkZffXTYE+tn3g4kIxgJz0yAeBLz56iuu/8iwdzrGFD/bh1VYnd37XCgAPfnAP6woz+OQbN3DvNdX8+IXzPF3fGbFrjTX7a1tJcAg3bC1Z8NiCzJSA0kH2ZvB2CinSNpRkzagQeul8P8MT0zofoOJetEcC/2qM2en+OhDogzoHxyn12ujbHgn0R2jVsMtl+PUrrYxOTvOtZ84E/Xg7AKQlJfDje6wAAFZXy49cU0OCQ3ipuT8i1xprjDEcqG3nqqqCeVNBtoJ5Vut6s/v925PJkWavarYnhw/UtpGc6PDbbkKpeBGT6aAO5xglPoJApEYCR8710Tk4TkVuGj881BzUaOBU+yB3fvcg6e4AsLYgY8b9ackJ1BRnUnthICLXGmtebXNytns44I6bBRmBbfRuH5OXHp0gYK9CbugcwuUyHKht4/UbishMSYzK8ym1XEQ7CHxERI6JyH+ISJ6vA0TkHhE5IiJHurq6AGuS0HuyLi0pIaLtpPcfayUl0cF379rFtMvwzacDHw3c/2wj0y7Dgz4CgG1bRQ51FwZWZNnoD54/R3KigxvmqQrylp9pBYGFfhc9Q+NkpyYu2AcoVFmpSZS7K4SONvfR4RznFm0drVR4QUBEHheROh9ftwLfBKqBnUAb8GVf5zDG3G+M2WWM2VVUVMTIxBSD41MzRgIiQk5ackSCgMtl+G1dO9dsLGZzWTZ/clkFPzoc+GigoXOQS1bl+g0AANsrcugemvDsibBSnO8d4WcvtnDn7jUBT+AWZCQzMe1acI1Hz/BEQOmlcNgVQr85ZqWCrt288JyGUitdWEHAGHOdMWabj69fGmM6jDHTxhgX8B1gdyDntEsF7Q3mbTlpiRFZJ2Cngm5yfwr8yDU1uFwmoLkBl8tYm6Av0Op4+6ocgBWXEvr6k6dxOIQPvb464MfYE729C8wL9A5PeKrBomVDSSanu4b4bV0b+zQVpBQQ3eog77H27UBdII+zP5HP7uUSqf5Bdiro2k3WhOCagnRev6GI3zd0L/jYC/2jjE5OL7igaUtZNgkOoW4FBYHmnhEeOmqNAoLZgjHfs73j/EGgZ2giauWhtpriLCamXHQ4x3UXMaXcojkn8C8iUisix4BrgE8E8qCOQX8jgfCDwLQ7FfSGTcVkeH0KrC7OpLlnxGeXSW8NfjZBny01aeVNDn/jqeBHAXBxo/eF1gosTjrI+nfTVJBSF0VtPGyMeU8oj+ucZyRwpiv4napGJqZ42zefp3toHJcxdA9NzFnktK4gg4lpF20Do6zKS/dzpoutjv1tau5tW0UOT53sxBjj2Rh9Ofjsr44zPjXNP9y6jaQE6zPC0eY+Hjrawrv3rA16I3b7jX2+CiGXy9A3Ev10kP3vpqkgpS6Kuf8JnYPjpCQ6yE6beWmhjgROtDl5tc3JGzYVU5KdQlZqEtdvmfkpcF2h9cbf1D2yQBAYpCQ7xVOyOp8dq3L42Yst1uY4EW6NHC11FwZ44I9NgLUm49/uuJTaCwP82fcOsyovjY+8YX3Q5/SMBOYJAgOjk0y7TNTTQZkpiXz+9m1+9yNWKh7FXBCw1wjM/vSc49VOOphWw/an98+9ZSur832/wa9zV/o09Qyzt6bQ77kaOoYCbnC2reLi5PByCQJffbyBnLQkPrC3ki//rp73/ecLvHy+n8LMZH58z1UUhpCuSU1KICM5Yd4FY3aAiNZCMW/vunJt1J9DqeUk5haLdTrHKfbR0MvTTnosuHbSDR1DC25UUpqdSkqiY96tEF0u4+l3Hwh7cri2ZXnMC9RdGODxEx18YG8lf3ltDf/nli384XS3JwAEmwbyZq0V8D8nYM8XRKtlhFLKv9gbCQyOsbk0e87t3quG7V5CgWjotHrUzzd6cDiEdQUZNPX4DwJ2ZVCgWx8ut8nhrz5eT05aEu997ToA7t5byfaKHKqLMsKesM3PmL9/UO8ijgSUUjPF5kgge+6bTq67nUCw8wL1HYMBfXpfW5BOU4//rqL1HYFVBnlbLiuHa1sGePxEJx+8upKs1IsBdndlfkQqdgoX6B/kSQdFeU5AKTVXTAUBlzEMjU/53O81lP5BA6PWRiWBfHqvLMyYt0zUnltYH8SmJ9vKs+kZnqBzMLCdtZbKT188T3pyAne9Zl1Uzp+/QP8gO0DkaRBQatHFVBCYnLbegGevEYDQgsDpAOv6AdYVWmWi9q5mszV0Bl4ZZKsqsp737DxzDbGgsWuYmpKsGaOASMrPTKZneNzviKh3eJyctCRPSapSavHE1P+6qWkXwIy+QbZQgoCnrj+AT+9rC6zKoXN+UkINHUMBzwfYKt0tpuebcI4FZ7uHWVfgvzQ2XIUZKUxOG7/9g7oXoWWEUsq3mAoCk+5UjK/qoLwMKwh0B7hpOVh5/IUqg2z2G/ZZH5PDnsqgIPe/LctJJSlB5p1rWGrjU9O0Dox6ymSjwa7/99c/qHcRWkYopXyLqSBgjwSKfYwEUhITKM5K4UKf73SNL3azt0DWFZRkpZKa5LtM1NMzKIhJYYDEBAer89NjeiRwvncEYy4GwWgo8PQP8h3Ae4cntDJIqSUSU0FgctqQmuQgO9V35eqqvDTOB7EvcEPnYMCf3h0OYW1+Bud8jAROtDmB4CqDbJULlJ4utbPd1u9zbRTTQXb9v78KoZ7hcfJ1jYBSSyKmgsDUtIvirLmrhW2r8tJpCXAkYFcGBfPpfV1hus9J3B8eaiY/I5ktZTkBn+viOa0gEKtlonbQi+ZIYL5Ooi6XoXd4gkIdCSi1JGIqCExOG5+VQbZVeWm09o8u2O0ToCGEuv51hRmc7515/qPNfTxT38U9r6siLTkh4HN5zlmQztik1b44Fp3tHiYnLcmzDiMa7ElfX2Wi/aOTuAw6J6DUEompIDDlcvmcD7CtyktnymUC2gUsmMogm91N1LtM9L7HG8jPSOY9e0LrOWNvQh8LZaKHGnt4w5ee5qXmPs9tTT3DnmuMlvn6B9ntJDQIKLU0YioITE4bn5VBtlV5VpVPICmhhs5B0pMDqwyyeTeSg5mjgIwQWw/b5/Q117CYDjX28L4HXqCxe5hfv9Lmub2pe4TKKM4H2Oy1ArPZgSGU5nRKqfDFVO8glzE+1wjYLgaBEXZXzt8O2Or4GVhlkM3Oix9s7CEvPZkvP3YqrFEAQHluGskJDp+lp9E0ODbpWfPQ0jfC//rJK5TlpJKenMjBxh4Axiat8tC1Bauifj0FGSk+00H2PIGOBJRaGmEFARF5O/BZYDOw2xhzxOu+vwHuBqaBjxpjHg3knPONBOyWzAuNBF5q7uPFc3285ZLyQJ5yxnNnpSbyjafO8I2nrD2HP/2mTSGPAgASHMLq/LRFLxP98H8f5Q+nL26ZWV2UwYP37OF/Dp/nK4/X0z8yQffQeNTLQ20FGcm0DcxN4y1mG2ml1FzhjgTqgLcC3/a+UUS2AO8EtgLlwOMissEYM73QCecbCaQmWWsFWuYpEz3a3Mdd3ztMcXYKH7++JrC/hZvDIfzsQ6+hudc6f1KCsHe9//0FAlVZmOF3JXI0dDrHeO5MN2+/fBVv3FqKALur8slOTWJPdQHmd3DobC8OdxVWtOcEwHqTr2ud21HVbiOdF8WJaaWUf2EFAWPMCcBXSeetwI+NMePAWRE5DewGnl/onPNVB4GVEvI3Enj5fD93fe8wBZnJPHjPHspygt/MZWNpFhtLg1sZvJC1BRn84XR30BvihOqR4+0YAx98XdWcVhc7VuWQmuTgYGMP5e7fTzRbRtjy3emg2dtt9g5PaN8gpZZQtP7nVQDnvX5ucd82h4jcIyJHROQIQJGPDqLeVuf7XyvwpUdPkZGSGHIAiJZ1hRlWmejgwlVNkfCbY23UFGf67HWUkpjA5WvzONjYS1PPMLnp0S0PtZVkW/2DumZ1VO3R1cJKLakFg4CIPC4idT6+bp3vYT5u81ncb4y53xizyxiza1Nplt/VwjZ/awWMMRxr6ecNm4tjKgCAtWoYrEqcaOt0jvFCUy837yjze8yeygJOtjt5+Xx/VHsGedtSZm0UNDsl1DM0rs3jlFpCCwYBY8x1xphtPr5+Oc/DWoDVXj+vAloXeq6kBIff1cKeE/lZK9DcO4JzbIrtFcGv6o02uyXDYrSP+G2dlQq6efs8QaC6AGPgeKtzUVJBAFsrchCB2hbnjNt7hyd0W0mlllC00kG/At4pIikiUgnUAIcjcWJ/awXsbRxjMQjYZaKLUSG0v7aNDSWZ1MzT9tqeF4DFmRQGyExJpKowg9oL/Z7bxianaeoZYXV+bI3clIonYQUBEbldRFqAq4D9IvIogDHmOPAT4FXgEeDeQCqDArEqz/rkOrtCqLZlgOQER9A9/xdDgkNYU5Ae9ZGAJxW0ff7SWHteABanPNS2vSJnxp7LL5/vZ2LKxZWVBYt2DUqpmcIKAsaYh40xq4wxKcaYEmPMDV73fd4YU22M2WiM+W34l2opz7Umjn2NBDaVZZGcGJtVJusK0jne6mR0IiKx0CdPKmhH6YLHXlVlvfGuXaQ5AYDtq3LpcI7T6U7lHWzsQQSuWGDhn1IqemLzHXMeKYkJlGTPXCtgjKHuwgDbYjAVZHvHrtW09o/y/gdeYGTC9w5b4dp/zEoFBbIP8jt2reZDr69mW3l2VK7FFztVZ48GDjb2sLU8O6gtO5VSkbXsggDMbSkdy5PCtjduLeUr79jJobM93P3AkYgHgg7nGC+cWzgVZCvOTuXTb9pE4iLW528tz7Ymhy8MMDY5zdHmfvZoKkipJbVMg8DMBWPHWmJ3UtjbbZdWeALBZ35eG9Fz/7a2LeBU0FLJSEmkuiiTugsDnvmAq6o1CCi1lJZtEPBeK1B3IXYnhWe77dIKPvT6an75Siv17j0PIuFAbTsbS7ICSgUtpe0VORxrGeBgYw8OgV3rdD5AqaW0TIPAzLUCsT4pPNsHr64iIzmR+55o8NxmjOFEmzOkHcjsVNBN86wNiBXbK3LoHBzn16+0srU8R+cDlFpiy+Ndc5b1xdZuYd965gwul6E2xieFZ8vLSOa9r1nHgdo2TrUP4nIZ/u4Xdbzpvt9z5FzfwieYZTmkgmzbV1n/Tme6htlTpaMApZZaTO0nEKhda/P4wN5KvvuHs3Q6xxmM8UlhX+7eW8kDf2zivifqyUtP5oeHmgE4fmGAK4JMkeyvbVsWqSCw2keIgDGwp0rnA5RaastyJCAi/O3Nm/ng1ZU8crwdiP1J4dkujgba+eGhZj68r5qctCTqO4eCOk+Hc4wj5/qWRSoIrMnh9UWZOh+gVIxYliMBsALBZ27aTHKig6dPdS2LSeHZPnB1JQdq27hlRxmfuH4DR5p6Od0RXBA42NiDMXDt5uIoXWXkvXFrCQ0dGTofoFQMWLZBAKxA8KkbNvGpGzYt9aWEJDc9mSf/ap/n55qSLA7Uts3puT8fuzOpPU+yHCzXfy+lVqJlmQ5aqWqKM+kfmaRraO6G7P409QxTnpNKalJCFK9MKbVSaRCIIXZKqyGIlNDZ7uFF6wSqlFp5NAjEkJoSK6UTzCKycz3Di9oETim1smgQiCFFmSnkpifREGCF0MDIJH0jk1QWLs7GMEqplUeDQAwREWqKM2kIcCRw1r0/wWJtEamUWnk0CMSYmpIs6juGAmofcc4OAjonoJQKUbg7i71dRI6LiEtEdnndvk5ERkXkZffXt8K/1PiwoTiTgdFJugYXrhA62z2MCKzJ13SQUio04a4TqAPeCnzbx31njDE7wzx/3PFUCHUOUZydOu+xTd3DlOekaXmoUipk4W4vecIYcypSF6NgfRAVQk09I6wt0FGAUip00ZwTqBSRl0TkGRG52t9BInKPiBwRkSNdXV1RvJzlwa4Qqg9grUBTj64RUEqFZ8F0kIg8DvjqUfy3xphf+nlYG7DGGNMjIpcDvxCRrcYY5+wDjTH3A/cD7Nq1K/hm+iuMiLChOGvBCqH+kQn6Ryap1MogpVQYFgwCxpjrgj2pMWYcGHd//6KInAE2AEeCvsI4VFOSyW+Ozd9DqKnH6hmk6SClVDiikg4SkSIRSXB/XwXUAI3ReK6VaHNZNgOjk5xzv9H70tRtlYdWajpIKRWGcEtEbxeRFuAqYL+IPOq+63XAMRF5BfgZ8CFjTG94lxo/7B23Dp3t8XuMXR66WstDlVJhCKtE1BjzMPCwj9sfAh4K59zxrLook8LMFA429vKnV6zxecy5Hi0PVUqFT1cMxyARYU9VPs+f6fG7cvhszwjrtGeQUipMGgRi1J6qAtqdY37nBbR7qFIqEpb1zmIrmb0J+8HGHtYVZjDtMrz135/jlZYBzzFVOimslAqTBoEYVV2U4Z4X6OGdu9fwm2OtvNIywB27V1OclUpSgvDWy1Yt9WUqpZY5DQIxyp4XONjYy7TLcN8TDWwqzeLzt23H4Qhs/2GllFqIzgnEMHte4OtPnqaxa5iPXVujAUApFVEaBGKYPS/w1Sfq2VSaxQ1bfXXvUEqp0GkQiGH2vIAx8PHrdBSglIo8nROIYSLCjdtKON7q5I1bdBSglIo8DQIx7h9v247LZXQUoJSKCk0HLQMaAJRS0aJBQCml4pgGAaWUimMaBJRSKo5pEFBKqTimQUAppeKYBgGllIpjGgSUUiqOib+dq5aCiAwCpwI8PAcYWPCowMXy+RY6VyHQHcHzBWM5/94C4f27jbVri9b5onltwb5W5ztXJCyX39tCNhpjskJ6FmNMzHwBR4I49v4IP3fMnm+hcwXze1vsa4vl31uA5zgSyfPFy+/N3/mCfa3q7y3gY0P+vS7ndNCv4+h8em1Lf65In0+vbenPFenzxfK1+RVr6aAjxphdS30dy43+3qJHf7eRpb/P6Ajn9xprI4H7l/oClin9vUWP/m4jS3+f0RHy7zWmRgJKKaUWV6yNBJRSSi0iDQJKKRXHFjUIiMi0iLzs9bVunmP3ichvFu/qYpeIGBH5gdfPiSLSpb+fyBCR292/401LfS3Llb5GF4eIDEX6nIs9Ehg1xuz0+mpa5OdfroaBbSKS5v75euBCMCcQEd1Fzr87gD8A7wzmQSKSEJ3LWZbCfo2qpbHk6SARSRCRL4rICyJyTET+3OvubBF5WEReFZFviciSX+8S+i1ws/v7O4AH7TtEZLeI/FFEXnL/udF9+3tF5Kci8mvgscW/5NgnIpnAa4G7cQcB9yj0WV+vPREZEpF/EJFDwFVLd+UxKZTX6O9FZKfXcc+JyI5FveplZnaWRES+LiLvdX/fJCKfE5GjIlIbyOh2sd9U07xSQQ+7b7sbGDDGXAFcAXxQRCrd9+0GPglsB6qBty7y9caSHwPvFJFUYAdwyOu+k8DrjDGXAv8X+ILXfVcBdxlj3rBoV7q83AY8YoypB3pF5DL37f5eexlAnTHmSmPMHxb9amNbKK/R7wLvBRCRDUCKMebYol3xytRtjLkM+CbwVwsdvNgpglFjzM5Zt70R2CEib3P/nAPUABPAYWNMI4CIPAjsBX62WBcbS4wxx9xzKHcAB2bdnQN8X0RqAAMked33O2NM76Jc5PJ0B/BV9/c/dv+8H/+vvWngoSW4zpgX4mv0p8D/EZFPAe8HHliUi13Zfu7+80UC+OAcC3liAf7SGPPojBtF9mG9WLzF+6KGXwFfAvYBBV63/3/AU8aY293/CZ/2um94ka5t2RGRAuANWLlsAyRgvcYO4P+1N2aMmV68q1x2gnqNGmNGROR3wK3AOwBdTbywKWZmcVJn3T/u/nOaAN7jYyHH/ijwYRFJAmtIKCIZ7vt2i0ilOx/7p1iTd/HsP4B/MMbUzro9h4uTcO9d1Cta3t4G/JcxZq0xZp0xZjVwFutTv772QhPKa/S7wL8BL+ioNSDngC0ikiIiOcC14ZwsFoLAd4FXgaMiUgd8m4vR63ngn4E6rP+cD/s8Q5wwxrQYY+7zcde/AP8kIs9hfZpVgbmDua+ph4A70ddeSEJ5jRpjXgScwH8uwiUuW+4Kv3FjzHngJ8Ax4IfAS2GdV9tGKDWTOxX5V8aYW5b6WuKBiJRjpYc2GWNcS3w5MUtELgG+Y4zZHcnzxsJIQCkVp0Tkz7CqiP5WA4B/IvIhrJLbv4v4uXUkoJRS8SuqIwERWS0iT4nICRE5LiIfc9+eLyK/E5EG95957ts3icjzIjIuIn8161yfcJ+jTkQedNciK6WUCkO000FTwCeNMZuBPcC9IrIF+DTwhDGmBnjC/TNAL/BRrBIzDxGpcN++yxizDWtiKagl/koppeaKahAwxrQZY466vx8ETgAVWDXB33cf9n2sVZsYYzqNMS8Akz5Ol4i14jgRSAdao3ntSikVDxZtYti9QORSrEmgEmNMG1iBAiie77HGmAtYo4NmoA2rzYT2wlFKqTAtShBwN+l6CPi4McYZwuPzsEYPlUA5kCEi747sVSqlVPyJehBwrwR+CPihMcbuadEhImXu+8uAzgVOcx1w1hjTZYyZxOqN8ZpoXbNSSsWLaFcHCfA94IQx5ited/0KuMv9/V3ALxc4VTOwR0TS3ee8Fmt+QSmlVBiiuk5ARPYCvwdqAXshyGew5gV+AqzBeoN/uzGmV0RKgSNAtvv4IWCLMcYpIp/D6uEyhbVM+gPGmHGUUkqFTBeLKaVUHNO2EUopFcc0CCilVBzTIKCUUnFMg4BSSsUxDQJKKRXHNAgopVQc0yCgVjwReUBEjPtrUkQ63S3Omv4kTwAAAfNJREFU77X3tp51/FtFZFpEfjjr9n/0Oo+/r1XzHNeyeH9rpQKjQUDFi8eBMmAd8Ebg18DngN+LSMasYz+AtSfubfZeF27/7D6H/XUa+H+zbrO72x6fdXsZVgNFpWJK4sKHKLUijBtj2t3fXwBeFpHHgKPAXwN/DyAiq4BrgPcAu4F3AV8HMMYMYa1ix33sNDDkdV77doCp2bcrFYt0JKDiljGmDngE+BOvm98HPGaM6QF+gDUqUGrF0iCg4t2rQBV4Gh6+D+vNH+BnQI2IXB7CebeLyNCsrx8s/DClFpemg1S8E8BuoHUtkIc1X4AxZkhEfoE1GngxyPOeAt4y67YhXwcqtZQ0CKh4twVodH//ASAXGHbn9cEKEoMi8kljzEgQ550wxpyO3GUqFR2aDlJxS0S2ATcCPxORfKy9ru8Cdnp9XQKMA29bqutUKpp0JKDiRYp7vwoHUISV+vkMVprnS1ijgEGsHfCmvR8oIj933/9fQTxfovv5ZtCKIRVrNAioeHEd0AZMA/1AHdY6gW8bYyZE5G7g4dkBwO2nwIdEZIMxpj7A59vqfr7ZxMdtSi0Z3VRGKaXimM4JKKVUHNMgoJRScUyDgFJKxTENAkopFcc0CCilVBzTIKCUUnFMg4BSSsUxDQJKKRXHNAgopVQc+/8BFOLYGNuAaTgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msk_temp['2018-02-01':'2018-06-01']['TAVG'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame()\n",
    "\n",
    "df['Moscow'] = round(msk_temp['TAVG'])\n",
    "df['Krasnodar'] = round(krd_temp['TAVG'])\n",
    "\n",
    "df['date'] = msk_temp.index\n",
    "\n",
    "sm_data_msk = data_zone5[data_zone5['Ta'].isin(df['Moscow'])]\n",
    "sm_data_msk = sm_data_msk.merge(df.loc[:,['Moscow', 'date']], left_on='Ta', right_on='Moscow')\n",
    "sm_data_msk = sm_data_msk.sort_values(by='date')\n",
    "sm_data_msk.index = sm_data_msk['date']\n",
    "\n",
    "sm_data_krd = data_zone5[data_zone5['Ta'].isin(df['Krasnodar'])]\n",
    "sm_data_krd = sm_data_krd.merge(df.loc[:,['Krasnodar', 'date']], left_on='Ta', right_on='Krasnodar')\n",
    "sm_data_krd = sm_data_krd.sort_values(by='date')\n",
    "sm_data_krd.index = sm_data_krd['date']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "sm_data_krd_zone5 = sm_data_krd.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 6))\n",
    "\n",
    "ax = ax or plt.gca()\n",
    "\n",
    "# ax.set_title('Blade damage', y=1.01, fontsize=19, fontweight='bold')\n",
    "ax.step(sm_data_msk.index, sm_data_msk['Damage'].cumsum() * 100, linewidth=2.5, label='Moscow area')\n",
    "ax.step(sm_data_krd.index, sm_data_krd['Damage'].cumsum() * 100, linewidth=2.5, label='Krasnodar area')\n",
    "# ax.plot(np.arange(0, 1.1, 0.1), np.arange(0, 1.1, 0.1), color='black', linestyle='dashed')\n",
    "\n",
    "# ax.text(text_x_pos, text_y_pos, f'$RMSE={round(rmse, 4)}$', fontsize=12, fontweight='bold')\n",
    "# ax.set_yscale(\"log\")\n",
    "# ax.set_ylim(0, 0.0005, 0.000005)\n",
    "ax.set_ylabel('Damage', fontsize=16)\n",
    "ax.set_xlabel('Date (Years)', fontsize=16)\n",
    "ax.legend(fontsize=13)\n",
    "ax.grid()\n",
    "fig.savefig('exploit_conds_damage_zone5.pdf', format='pdf')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_zone1 = pd.read_csv('./datasets/by_zone/Results_3079.csv')\n",
    "data_zone2 = pd.read_csv('./datasets/by_zone/Results_32434.csv')\n",
    "data_zone3 = pd.read_csv('./datasets/by_zone/Results_36302.csv')\n",
    "data_zone4 = pd.read_csv('./datasets/by_zone/Results_37227.csv')\n",
    "data_zone5 = pd.read_csv('./datasets/by_zone/Results_94936.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.3157919732782593"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_zone5['Damage'].max() * 1825"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 8))\n",
    "\n",
    "ax = ax or plt.gca()\n",
    "\n",
    "linewidth = 2.5\n",
    "\n",
    "# ax.set_title('Blade damage', y=1.01, fontsize=19, fontweight='bold')\n",
    "ax.step(sm_data_msk_zone5.index, sm_data_msk_zone5['Damage'].cumsum(), linewidth=linewidth, label='Results_94936')\n",
    "\n",
    "\n",
    "# ax.plot(np.arange(0, 1.1, 0.1), np.arange(0, 1.1, 0.1), color='black', linestyle='dashed')\n",
    "\n",
    "# ax.text(text_x_pos, text_y_pos, f'$RMSE={round(rmse, 4)}$', fontsize=12, fontweight='bold')\n",
    "# ax.set_yscale(\"log\")\n",
    "# ax.set_ylim(0, 0.0005, 0.000005)\n",
    "ax.set_ylabel('Damage', fontsize = 15)\n",
    "ax.set_xlabel('Date (Years)', fontsize = 15)\n",
    "ax.legend()\n",
    "ax.grid()\n",
    "fig.savefig('exploit_conds_damage_all_zones.png')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 8))\n",
    "\n",
    "ax = ax or plt.gca()\n",
    "\n",
    "linewidth = 2.5\n",
    "\n",
    "# ax.set_title('Blade damage', y=1.01, fontsize=19, fontweight='bold')\n",
    "ax.step(sm_data_krd_zone1.index, sm_data_krd_zone1['Damage'].cumsum(), linewidth=linewidth, label='Results_3079')\n",
    "ax.step(sm_data_krd_zone2.index, sm_data_krd_zone2['Damage'].cumsum(), linewidth=linewidth, label='Results_32434')\n",
    "ax.step(sm_data_krd_zone3.index, sm_data_krd_zone3['Damage'].cumsum(), linewidth=linewidth, label='Results_36302')\n",
    "ax.step(sm_data_krd_zone4.index, sm_data_krd_zone4['Damage'].cumsum(), linewidth=linewidth, label='Results_37227')\n",
    "ax.step(sm_data_krd_zone5.index, sm_data_krd_zone5['Damage'].cumsum(), linewidth=linewidth, label='Results_94936')\n",
    "\n",
    "\n",
    "# ax.plot(np.arange(0, 1.1, 0.1), np.arange(0, 1.1, 0.1), color='black', linestyle='dashed')\n",
    "\n",
    "# ax.text(text_x_pos, text_y_pos, f'$RMSE={round(rmse, 4)}$', fontsize=12, fontweight='bold')\n",
    "# ax.set_yscale(\"log\")\n",
    "# ax.set_ylim(0, 0.0005, 0.000005)\n",
    "ax.set_ylabel('Damage', fontsize = 15)\n",
    "ax.set_xlabel('Date (Years)', fontsize = 15)\n",
    "ax.legend()\n",
    "ax.grid()\n",
    "# fig.savefig('exploit_conds_damage_all_zones.png')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 8))\n",
    "\n",
    "ax = ax or plt.gca()\n",
    "\n",
    "# ax.set_title('Blade damage', y=1.01, fontsize=19, fontweight='bold')\n",
    "ax.step(sm_data_msk.index, sm_data_msk['Damage'].cumsum(), linewidth=2.5, label='Moscow area')\n",
    "ax.step(sm_data_krd.index, sm_data_krd['Damage'].cumsum(), linewidth=2.5, label='Krasnodar area')\n",
    "# ax.plot(np.arange(0, 1.1, 0.1), np.arange(0, 1.1, 0.1), color='black', linestyle='dashed')\n",
    "\n",
    "# ax.text(text_x_pos, text_y_pos, f'$RMSE={round(rmse, 4)}$', fontsize=12, fontweight='bold')\n",
    "ax.set_yscale(\"log\")\n",
    "\n",
    "# ax.set_ylim(0, 0.0005, 0.000005)\n",
    "ax.set_ylabel('Damage (log-scaled)', fontsize = 15)\n",
    "ax.set_xlabel('Date (Years)', fontsize = 15)\n",
    "ax.legend()\n",
    "ax.grid()\n",
    "fig.savefig('exploit_conds_damage_log_zone1.png')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Zone 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame()\n",
    "\n",
    "df['Moscow'] = round(msk_temp['TAVG'])\n",
    "df['Krasnodar'] = round(krd_temp['TAVG'])\n",
    "\n",
    "df['date'] = msk_temp.index\n",
    "\n",
    "sm_data_msk = data_zone5[data_zone5['Ta'].isin(df['Moscow'])]\n",
    "sm_data_msk = sm_data_msk.merge(df.loc[:,['Moscow', 'date']], left_on='Ta', right_on='Moscow')\n",
    "sm_data_msk = sm_data_msk.sort_values(by='date')\n",
    "sm_data_msk.index = sm_data_msk['date']\n",
    "\n",
    "sm_data_krd = data_zone5[data_zone5['Ta'].isin(df['Krasnodar'])]\n",
    "sm_data_krd = sm_data_krd.merge(df.loc[:,['Krasnodar', 'date']], left_on='Ta', right_on='Krasnodar')\n",
    "sm_data_krd = sm_data_krd.sort_values(by='date')\n",
    "sm_data_krd.index = sm_data_krd['date']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(12, 8))\n",
    "\n",
    "ax = ax or plt.gca()\n",
    "\n",
    "# ax.set_title('Blade damage', y=1.01, fontsize=19, fontweight='bold')\n",
    "ax.step(sm_data_msk.index, sm_data_msk['Damage'].cumsum(), linewidth=2.5, label='Moscow area')\n",
    "ax.step(sm_data_krd.index, sm_data_krd['Damage'].cumsum(), linewidth=2.5, label='Krasnodar area')\n",
    "# ax.plot(np.arange(0, 1.1, 0.1), np.arange(0, 1.1, 0.1), color='black', linestyle='dashed')\n",
    "\n",
    "# ax.text(text_x_pos, text_y_pos, f'$RMSE={round(rmse, 4)}$', fontsize=12, fontweight='bold')\n",
    "# ax.set_yscale(\"log\")\n",
    "# ax.set_ylim(0, 0.0005, 0.000005)\n",
    "ax.set_ylabel('Damage', fontsize = 15)\n",
    "ax.set_xlabel('Date (Years)', fontsize = 15)\n",
    "ax.legend()\n",
    "ax.grid()\n",
    "fig.savefig('exploit_conds_damage_zone5.png')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "sm_data['sorterIndex'] = sm_data['Ta'].map(sorterIndex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2015-01-01     4.0\n",
       "2015-01-02     7.0\n",
       "2015-01-03    11.0\n",
       "2015-01-04    10.0\n",
       "2015-01-05     6.0\n",
       "Name: Moscow_Temp_avg, dtype: float64"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ta</th>\n",
       "      <th>Fuel</th>\n",
       "      <th>Tg</th>\n",
       "      <th>Tk</th>\n",
       "      <th>n</th>\n",
       "      <th>Damage</th>\n",
       "      <th>sorterIndex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>37.0</td>\n",
       "      <td>1.301990</td>\n",
       "      <td>1136.324</td>\n",
       "      <td>385.872</td>\n",
       "      <td>11944.637</td>\n",
       "      <td>2.584409e-05</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-2.0</td>\n",
       "      <td>1.054534</td>\n",
       "      <td>792.247</td>\n",
       "      <td>344.357</td>\n",
       "      <td>11117.599</td>\n",
       "      <td>1.357805e-12</td>\n",
       "      <td>736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.066259</td>\n",
       "      <td>805.679</td>\n",
       "      <td>346.384</td>\n",
       "      <td>11162.985</td>\n",
       "      <td>3.088668e-12</td>\n",
       "      <td>1151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-4.0</td>\n",
       "      <td>1.042626</td>\n",
       "      <td>778.858</td>\n",
       "      <td>342.333</td>\n",
       "      <td>11071.653</td>\n",
       "      <td>5.876589e-13</td>\n",
       "      <td>1153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-1.0</td>\n",
       "      <td>1.060419</td>\n",
       "      <td>798.958</td>\n",
       "      <td>345.370</td>\n",
       "      <td>11140.356</td>\n",
       "      <td>2.051331e-12</td>\n",
       "      <td>1154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.077802</td>\n",
       "      <td>819.154</td>\n",
       "      <td>348.413</td>\n",
       "      <td>11207.864</td>\n",
       "      <td>6.925656e-12</td>\n",
       "      <td>1481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.072053</td>\n",
       "      <td>812.412</td>\n",
       "      <td>347.398</td>\n",
       "      <td>11185.491</td>\n",
       "      <td>4.633872e-12</td>\n",
       "      <td>1485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.083657</td>\n",
       "      <td>826.052</td>\n",
       "      <td>349.491</td>\n",
       "      <td>11229.446</td>\n",
       "      <td>1.041366e-11</td>\n",
       "      <td>1490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>33.0</td>\n",
       "      <td>1.276236</td>\n",
       "      <td>1089.426</td>\n",
       "      <td>383.463</td>\n",
       "      <td>11845.876</td>\n",
       "      <td>4.101722e-06</td>\n",
       "      <td>1664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>35.0</td>\n",
       "      <td>1.289280</td>\n",
       "      <td>1113.363</td>\n",
       "      <td>384.573</td>\n",
       "      <td>11897.368</td>\n",
       "      <td>1.063234e-05</td>\n",
       "      <td>1665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>36.0</td>\n",
       "      <td>1.295679</td>\n",
       "      <td>1124.845</td>\n",
       "      <td>385.226</td>\n",
       "      <td>11921.051</td>\n",
       "      <td>1.663155e-05</td>\n",
       "      <td>1666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>32.0</td>\n",
       "      <td>1.269648</td>\n",
       "      <td>1077.253</td>\n",
       "      <td>382.964</td>\n",
       "      <td>11818.712</td>\n",
       "      <td>2.504992e-06</td>\n",
       "      <td>1667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>34.0</td>\n",
       "      <td>1.282793</td>\n",
       "      <td>1101.540</td>\n",
       "      <td>383.987</td>\n",
       "      <td>11872.310</td>\n",
       "      <td>6.663173e-06</td>\n",
       "      <td>1681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>30.0</td>\n",
       "      <td>1.256156</td>\n",
       "      <td>1054.219</td>\n",
       "      <td>381.530</td>\n",
       "      <td>11769.389</td>\n",
       "      <td>9.524993e-07</td>\n",
       "      <td>1698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1.249292</td>\n",
       "      <td>1043.813</td>\n",
       "      <td>380.443</td>\n",
       "      <td>11749.247</td>\n",
       "      <td>6.036298e-07</td>\n",
       "      <td>1702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>31.0</td>\n",
       "      <td>1.262932</td>\n",
       "      <td>1065.082</td>\n",
       "      <td>382.454</td>\n",
       "      <td>11791.470</td>\n",
       "      <td>1.517101e-06</td>\n",
       "      <td>1703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1.220823</td>\n",
       "      <td>1002.041</td>\n",
       "      <td>376.048</td>\n",
       "      <td>11667.968</td>\n",
       "      <td>9.940180e-08</td>\n",
       "      <td>1715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>27.0</td>\n",
       "      <td>1.235249</td>\n",
       "      <td>1022.952</td>\n",
       "      <td>378.246</td>\n",
       "      <td>11708.841</td>\n",
       "      <td>2.354143e-07</td>\n",
       "      <td>1717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.242324</td>\n",
       "      <td>1033.391</td>\n",
       "      <td>379.349</td>\n",
       "      <td>11729.065</td>\n",
       "      <td>3.781086e-07</td>\n",
       "      <td>1719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.213549</td>\n",
       "      <td>991.594</td>\n",
       "      <td>374.985</td>\n",
       "      <td>11647.063</td>\n",
       "      <td>6.097612e-08</td>\n",
       "      <td>1734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1.161238</td>\n",
       "      <td>921.131</td>\n",
       "      <td>364.833</td>\n",
       "      <td>11490.255</td>\n",
       "      <td>1.913476e-09</td>\n",
       "      <td>1743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>26.0</td>\n",
       "      <td>1.228065</td>\n",
       "      <td>1012.497</td>\n",
       "      <td>377.135</td>\n",
       "      <td>11688.577</td>\n",
       "      <td>1.461143e-07</td>\n",
       "      <td>1747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1.207139</td>\n",
       "      <td>982.618</td>\n",
       "      <td>373.734</td>\n",
       "      <td>11627.822</td>\n",
       "      <td>3.977663e-08</td>\n",
       "      <td>1753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>22.0</td>\n",
       "      <td>1.200711</td>\n",
       "      <td>973.767</td>\n",
       "      <td>372.463</td>\n",
       "      <td>11608.553</td>\n",
       "      <td>2.588963e-08</td>\n",
       "      <td>1756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1.181145</td>\n",
       "      <td>947.316</td>\n",
       "      <td>368.652</td>\n",
       "      <td>11549.964</td>\n",
       "      <td>7.034392e-09</td>\n",
       "      <td>1757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1.194221</td>\n",
       "      <td>964.914</td>\n",
       "      <td>371.195</td>\n",
       "      <td>11589.141</td>\n",
       "      <td>1.674859e-08</td>\n",
       "      <td>1759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1.187700</td>\n",
       "      <td>956.098</td>\n",
       "      <td>369.924</td>\n",
       "      <td>11569.613</td>\n",
       "      <td>1.079417e-08</td>\n",
       "      <td>1760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>17.0</td>\n",
       "      <td>1.167918</td>\n",
       "      <td>929.836</td>\n",
       "      <td>366.106</td>\n",
       "      <td>11510.290</td>\n",
       "      <td>2.964323e-09</td>\n",
       "      <td>1765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.174553</td>\n",
       "      <td>938.563</td>\n",
       "      <td>367.379</td>\n",
       "      <td>11530.193</td>\n",
       "      <td>4.575165e-09</td>\n",
       "      <td>1766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>11.0</td>\n",
       "      <td>1.130427</td>\n",
       "      <td>881.939</td>\n",
       "      <td>358.656</td>\n",
       "      <td>11393.324</td>\n",
       "      <td>2.456663e-10</td>\n",
       "      <td>1786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.095439</td>\n",
       "      <td>839.936</td>\n",
       "      <td>351.696</td>\n",
       "      <td>11272.080</td>\n",
       "      <td>2.337101e-11</td>\n",
       "      <td>1795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.101295</td>\n",
       "      <td>846.897</td>\n",
       "      <td>352.816</td>\n",
       "      <td>11293.014</td>\n",
       "      <td>3.483955e-11</td>\n",
       "      <td>1806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>14.0</td>\n",
       "      <td>1.147767</td>\n",
       "      <td>903.799</td>\n",
       "      <td>362.289</td>\n",
       "      <td>11449.821</td>\n",
       "      <td>7.881417e-10</td>\n",
       "      <td>1809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.154512</td>\n",
       "      <td>912.450</td>\n",
       "      <td>363.559</td>\n",
       "      <td>11470.085</td>\n",
       "      <td>1.230053e-09</td>\n",
       "      <td>1812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>13.0</td>\n",
       "      <td>1.142053</td>\n",
       "      <td>896.037</td>\n",
       "      <td>361.096</td>\n",
       "      <td>11431.296</td>\n",
       "      <td>5.251014e-10</td>\n",
       "      <td>1814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>12.0</td>\n",
       "      <td>1.136238</td>\n",
       "      <td>889.000</td>\n",
       "      <td>359.865</td>\n",
       "      <td>11412.574</td>\n",
       "      <td>3.599612e-10</td>\n",
       "      <td>1818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1.124607</td>\n",
       "      <td>874.896</td>\n",
       "      <td>357.453</td>\n",
       "      <td>11373.864</td>\n",
       "      <td>1.671112e-10</td>\n",
       "      <td>1821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.089562</td>\n",
       "      <td>832.989</td>\n",
       "      <td>350.588</td>\n",
       "      <td>11250.894</td>\n",
       "      <td>1.562291e-11</td>\n",
       "      <td>1823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>8.0</td>\n",
       "      <td>1.112943</td>\n",
       "      <td>860.851</td>\n",
       "      <td>355.092</td>\n",
       "      <td>11334.127</td>\n",
       "      <td>7.665776e-11</td>\n",
       "      <td>1824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>9.0</td>\n",
       "      <td>1.118760</td>\n",
       "      <td>867.857</td>\n",
       "      <td>356.258</td>\n",
       "      <td>11354.179</td>\n",
       "      <td>1.132676e-10</td>\n",
       "      <td>1825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>7.0</td>\n",
       "      <td>1.107129</td>\n",
       "      <td>853.868</td>\n",
       "      <td>353.948</td>\n",
       "      <td>11313.696</td>\n",
       "      <td>5.176943e-11</td>\n",
       "      <td>1826</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Ta      Fuel        Tg       Tk          n        Damage  sorterIndex\n",
       "54  37.0  1.301990  1136.324  385.872  11944.637  2.584409e-05          185\n",
       "15  -2.0  1.054534   792.247  344.357  11117.599  1.357805e-12          736\n",
       "17   0.0  1.066259   805.679  346.384  11162.985  3.088668e-12         1151\n",
       "13  -4.0  1.042626   778.858  342.333  11071.653  5.876589e-13         1153\n",
       "16  -1.0  1.060419   798.958  345.370  11140.356  2.051331e-12         1154\n",
       "19   2.0  1.077802   819.154  348.413  11207.864  6.925656e-12         1481\n",
       "18   1.0  1.072053   812.412  347.398  11185.491  4.633872e-12         1485\n",
       "20   3.0  1.083657   826.052  349.491  11229.446  1.041366e-11         1490\n",
       "50  33.0  1.276236  1089.426  383.463  11845.876  4.101722e-06         1664\n",
       "52  35.0  1.289280  1113.363  384.573  11897.368  1.063234e-05         1665\n",
       "53  36.0  1.295679  1124.845  385.226  11921.051  1.663155e-05         1666\n",
       "49  32.0  1.269648  1077.253  382.964  11818.712  2.504992e-06         1667\n",
       "51  34.0  1.282793  1101.540  383.987  11872.310  6.663173e-06         1681\n",
       "47  30.0  1.256156  1054.219  381.530  11769.389  9.524993e-07         1698\n",
       "46  29.0  1.249292  1043.813  380.443  11749.247  6.036298e-07         1702\n",
       "48  31.0  1.262932  1065.082  382.454  11791.470  1.517101e-06         1703\n",
       "42  25.0  1.220823  1002.041  376.048  11667.968  9.940180e-08         1715\n",
       "44  27.0  1.235249  1022.952  378.246  11708.841  2.354143e-07         1717\n",
       "45  28.0  1.242324  1033.391  379.349  11729.065  3.781086e-07         1719\n",
       "41  24.0  1.213549   991.594  374.985  11647.063  6.097612e-08         1734\n",
       "33  16.0  1.161238   921.131  364.833  11490.255  1.913476e-09         1743\n",
       "43  26.0  1.228065  1012.497  377.135  11688.577  1.461143e-07         1747\n",
       "40  23.0  1.207139   982.618  373.734  11627.822  3.977663e-08         1753\n",
       "39  22.0  1.200711   973.767  372.463  11608.553  2.588963e-08         1756\n",
       "36  19.0  1.181145   947.316  368.652  11549.964  7.034392e-09         1757\n",
       "38  21.0  1.194221   964.914  371.195  11589.141  1.674859e-08         1759\n",
       "37  20.0  1.187700   956.098  369.924  11569.613  1.079417e-08         1760\n",
       "34  17.0  1.167918   929.836  366.106  11510.290  2.964323e-09         1765\n",
       "35  18.0  1.174553   938.563  367.379  11530.193  4.575165e-09         1766\n",
       "28  11.0  1.130427   881.939  358.656  11393.324  2.456663e-10         1786\n",
       "22   5.0  1.095439   839.936  351.696  11272.080  2.337101e-11         1795\n",
       "23   6.0  1.101295   846.897  352.816  11293.014  3.483955e-11         1806\n",
       "31  14.0  1.147767   903.799  362.289  11449.821  7.881417e-10         1809\n",
       "32  15.0  1.154512   912.450  363.559  11470.085  1.230053e-09         1812\n",
       "30  13.0  1.142053   896.037  361.096  11431.296  5.251014e-10         1814\n",
       "29  12.0  1.136238   889.000  359.865  11412.574  3.599612e-10         1818\n",
       "27  10.0  1.124607   874.896  357.453  11373.864  1.671112e-10         1821\n",
       "21   4.0  1.089562   832.989  350.588  11250.894  1.562291e-11         1823\n",
       "25   8.0  1.112943   860.851  355.092  11334.127  7.665776e-11         1824\n",
       "26   9.0  1.118760   867.857  356.258  11354.179  1.132676e-10         1825\n",
       "24   7.0  1.107129   853.868  353.948  11313.696  5.176943e-11         1826"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sm_data.sort_values(['sorterIndex'], ascending=[True])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "XGBoostError",
     "evalue": "b'[13:20:28] C:\\\\Users\\\\Administrator\\\\Desktop\\\\xgboost\\\\src\\\\objective\\\\objective.cc:23: Unknown objective function reg:squarederror'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mXGBoostError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-86-856006d8ded4>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0msurrogate_blade_zone1\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpickle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'surrogate_blade_zone1.pkl'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'rb'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0msurrogate_blade_zone2\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpickle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'surrogate_blade_zone2.pkl'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'rb'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0msurrogate_blade_zone3\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpickle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'surrogate_blade_zone3.pkl'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'rb'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0msurrogate_blade_zone4\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpickle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'surrogate_blade_zone4.pkl'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'rb'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0msurrogate_blade_zone5\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpickle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'surrogate_blade_zone5.pkl'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'rb'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\xgboost\\core.py\u001b[0m in \u001b[0;36m__setstate__\u001b[1;34m(self, state)\u001b[0m\n\u001b[0;32m    978\u001b[0m             \u001b[0mlength\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mc_bst_ulong\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbuf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    979\u001b[0m             \u001b[0mptr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mctypes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mc_char\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbuf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfrom_buffer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbuf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 980\u001b[1;33m             \u001b[0m_check_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_LIB\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mXGBoosterLoadModelFromBuffer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhandle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mptr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlength\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    981\u001b[0m             \u001b[0mstate\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'handle'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mhandle\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    982\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__dict__\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\xgboost\\core.py\u001b[0m in \u001b[0;36m_check_call\u001b[1;34m(ret)\u001b[0m\n\u001b[0;32m    176\u001b[0m     \"\"\"\n\u001b[0;32m    177\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mret\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 178\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0mXGBoostError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_LIB\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mXGBGetLastError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    179\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    180\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mXGBoostError\u001b[0m: b'[13:20:28] C:\\\\Users\\\\Administrator\\\\Desktop\\\\xgboost\\\\src\\\\objective\\\\objective.cc:23: Unknown objective function reg:squarederror'"
     ]
    }
   ],
   "source": [
    "surrogate_blade_zone1 = pickle.load(open('surrogate_blade_zone1.pkl', 'rb'))\n",
    "surrogate_blade_zone2 = pickle.load(open('surrogate_blade_zone2.pkl', 'rb'))\n",
    "surrogate_blade_zone3 = pickle.load(open('surrogate_blade_zone3.pkl', 'rb'))\n",
    "surrogate_blade_zone4 = pickle.load(open('surrogate_blade_zone4.pkl', 'rb'))\n",
    "surrogate_blade_zone5 = pickle.load(open('surrogate_blade_zone5.pkl', 'rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plot the surrogate model in 3D \n",
    "y_pred = t.predict_values(xtest)\n",
    "\n",
    "n_dots=20\n",
    "\n",
    "x = np.linspace(data_limits[0, 0], data_limits[0, 1], n_dots)\n",
    "y = np.linspace(data_limits[1, 0], data_limits[1, 1], n_dots)\n",
    "\n",
    "resSM = []\n",
    "# varSM = []\n",
    "for x0 in x:\n",
    "    for x1 in y:\n",
    "        resSM.append(t.predict_values(np.array([[x0,x1]])))\n",
    "#         varSM.append(t.predict_variances(np.array([[x0,x1]])))\n",
    "        \n",
    "resSM = np.array(resSM)\n",
    "resSM = resSM.reshape((n_dots, n_dots)).T\n",
    "# varSM = np.array(varSM)\n",
    "# varSM = varSM.reshape((n_dots, n_dots)).T                     \n",
    "X,Y = np.meshgrid(x,y)\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(13, 8))\n",
    "ax = fig.gca(projection='3d')\n",
    "\n",
    "surf = ax.plot_surface(X, Y, resSM, cmap=cm.coolwarm,\n",
    "                       linewidth=0, antialiased=False,alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-14-4b07ce42cfd9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     28\u001b[0m )\n\u001b[1;32m     29\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata_trace1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlayout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlayout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 30\u001b[0;31m \u001b[0mpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/home/mraevsky/miniconda3/lib/python3.7/site-packages/plotly/offline/offline.py\u001b[0m in \u001b[0;36mplot\u001b[0;34m(figure_or_data, show_link, link_text, validate, output_type, include_plotlyjs, filename, auto_open, image, image_filename, image_width, image_height, config, include_mathjax, auto_play, animation_opts)\u001b[0m\n\u001b[1;32m    594\u001b[0m             \u001b[0mvalidate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvalidate\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    595\u001b[0m             \u001b[0manimation_opts\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0manimation_opts\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 596\u001b[0;31m             \u001b[0mauto_open\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mauto_open\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    597\u001b[0m         )\n\u001b[1;32m    598\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/mraevsky/miniconda3/lib/python3.7/site-packages/plotly/io/_html.py\u001b[0m in \u001b[0;36mwrite_html\u001b[0;34m(fig, file, config, auto_play, include_plotlyjs, include_mathjax, post_script, full_html, animation_opts, validate, default_width, default_height, auto_open)\u001b[0m\n\u001b[1;32m    541\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfile_is_str\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mfull_html\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mauto_open\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    542\u001b[0m         \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"file://\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mabspath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 543\u001b[0;31m         \u001b[0mwebbrowser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/home/mraevsky/.pyenv/versions/3.7.3/lib/python3.7/webbrowser.py\u001b[0m in \u001b[0;36mopen\u001b[0;34m(url, new, autoraise)\u001b[0m\n\u001b[1;32m     76\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0m_tryorder\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0mbrowser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m         \u001b[0;32mif\u001b[0m \u001b[0mbrowser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnew\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mautoraise\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/mraevsky/.pyenv/versions/3.7.3/lib/python3.7/webbrowser.py\u001b[0m in \u001b[0;36mopen\u001b[0;34m(self, url, new, autoraise)\u001b[0m\n\u001b[1;32m    162\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m                 \u001b[0mp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msubprocess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcmdline\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclose_fds\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 164\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    165\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/mraevsky/.pyenv/versions/3.7.3/lib/python3.7/subprocess.py\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    988\u001b[0m             \u001b[0mendtime\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_time\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    989\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 990\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_wait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    991\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    992\u001b[0m             \u001b[0;31m# https://bugs.python.org/issue25942\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/mraevsky/.pyenv/versions/3.7.3/lib/python3.7/subprocess.py\u001b[0m in \u001b[0;36m_wait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m   1622\u001b[0m                         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreturncode\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1623\u001b[0m                             \u001b[0;32mbreak\u001b[0m  \u001b[0;31m# Another thread waited.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1624\u001b[0;31m                         \u001b[0;34m(\u001b[0m\u001b[0mpid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msts\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_try_wait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1625\u001b[0m                         \u001b[0;31m# Check the pid and loop as waitpid has been known to\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1626\u001b[0m                         \u001b[0;31m# return 0 even without WNOHANG in odd situations.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/mraevsky/.pyenv/versions/3.7.3/lib/python3.7/subprocess.py\u001b[0m in \u001b[0;36m_try_wait\u001b[0;34m(self, wait_flags)\u001b[0m\n\u001b[1;32m   1580\u001b[0m             \u001b[0;34m\"\"\"All callers to this function MUST hold self._waitpid_lock.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1581\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1582\u001b[0;31m                 \u001b[0;34m(\u001b[0m\u001b[0mpid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msts\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwaitpid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwait_flags\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1583\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mChildProcessError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1584\u001b[0m                 \u001b[0;31m# This happens if SIGCLD is set to be ignored or waiting\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "import ploly\n",
    "import plotly.offline as py\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "data = data_zone1.copy()\n",
    "\n",
    "trace1 = go.Scatter3d(\n",
    "    x=data.Ta,\n",
    "    y=data.Fuel,\n",
    "    z=data.Damage,\n",
    "\n",
    "    mode='markers',\n",
    "    marker=dict(\n",
    "        size=1,\n",
    "        color=data.Damage,                # set color to an array/list of desired values\n",
    "        colorscale='Viridis',   # choose a colorscale\n",
    "        opacity=0.8\n",
    "    )\n",
    ")\n",
    "\n",
    "data_trace1 = [trace1]\n",
    "layout = go.Layout(\n",
    "    margin=dict(\n",
    "        l=0,\n",
    "        r=0,\n",
    "        b=0,\n",
    "        t=0\n",
    "    )\n",
    ")\n",
    "fig = go.Figure(data=data_trace1, layout=layout)\n",
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Learn ML to obtain params mesh grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uLHX5jbTTZS4IOtd5eEMZQo/5Be/iwN8dEzguOznR8fuZLMrjFcyZHfNSyDE5mQd5XRb7LyNobme8OdnT2+/1bLxvTwTtvyVk25b08l9muQzvzqqZzYOcAjwQ8jphv/eB45qSdgrP9JbQNgVv6+X3701BXnSRnqThnNuINyXYZLxfzt/wxvxeS9oxT/t/f3SO3I7Xm5laiKUXk3POPYU3rGEoXnLch1ecHcL7Cm4C3oUd57jA14xZSOFU0f8v4I/OuYO5a4r/nHOz8HpZXsFL0scCywbg33g3FlkYcswHeF/9fYU3bGQn3q1w4/HmQs7otYbhXR39Ht4HSepYyu/wPvBuxfvgEokFwcMrNpPxuM/gu30WB7oDOOfW4c1MMBUvrwXn3pXpnch5Fw63CLzWMbycNjFwzE/pHZOFRLweyMl4N2UKvospzpuJ4TrgPrxe4AN4HRe/BuJu65zrE3JMIt63TbfizX28N3DMHrwhazcDnV3ai+P+hXeTqBV4+SiJQI8w3kWEzZxzwWOC/403B/AWsjdWOM84b5hDQ+ARvM+qQ3g/15/wenL/5JwbHnJM2O994Lj5eBeYD8fr5DmCNw/9JryfbV+gceRaF1tS5xwUAcDMiuLd/SwxZH1lvEI09ev7R51zT+d3fCIiIiJ5TQWypBEY+7QCb/7GlXg9ErWBe/HG3YL3V2od59zPvgQpIiIikodUIEsagQI5s1kHDuPdRnRKPoUkIiIikq80i4WEOoA3zrcZ3oViFfDGtm3CGz/2inNus2/RiYiIiOQx9SCLiIiIiATRLBYiIiIiIkFUIIuIiIiIBFGBLCIiIiISRAWyiIiIiEiQqJzFomLFiq5GjRphH3f48GHKlCkT+YB8Fo3tUpsKj2hsV07b9PXXX+92zlXKg5AKJOXiU9SmwiMa2xWNbYKctSu7eTgqC+QaNWqwbFl27jac1oIFC2jSpEnkA/JZNLZLbSo8orFdOW2Tmf0Y+WgKLuXiU9SmwiMa2xWNbYKctSu7eVhDLEREREREgqhAFhEREREJogJZRERERCSICmQRERERkSAqkEVEREREgqhAFhEREREJogJZRERERCSIrwWymY0ys51mtjqD7WZmL5vZRjNbaWYN8jtGEZFop1wsIpKW3z3I7wCtM9neBqgTWO4AXsuHmEREYs07KBeLiJzka4HsnFsE7M1klz8Do53nS6CCmVXNn+hERH7POed3CBGnXCwihU1e52K/e5Czcg6wLej59sA6EZF89/PPP9O0aVO2bNnidyj5TblYRAqMsWPH0qNHD5KTk/PsNYrl2Zkjw9JZl+6fDGZ2B95Xf1SuXJkFCxaE/WKHDh3K0XEFXTS2S20qPKKpXePHj2fp0qW0bt06atqUTcrFuaQ2FR7R2K5oatPu3bvp1asX9erVY9++fXnXLuecrwtQA1idwbY3gO5Bz9cDVbM6Z8OGDV1OzJ8/P0fHFXTR2C61qfCIhnYlJyc755xLSUlxP/zwQ47bBCxzPufcjBbl4rylNhUe0diuaGvTokWL3JEjR3LUruzm4YI+xGIKcGvgCuqrgQPOuR1+ByUisWPFihXUr1+ftWvXYmbUrFnT75D8oFwsIr5xzvHEE08wbtw4AOLj4ylVqlSevqbf07yNA5YAF5jZdjO7zczuNLM7A7tMB34ANgJvAXf7FKqIxKAlS5bQtGlTDh48SNGiRf0OJ88oF4tIQeWco2/fvgwcODBfh4n4OgbZOdc9i+0OuCefwhEROWnevHl06NCBqlWrMmfOHKpXr+53SHlGuVhECqLk5GTuvPNORo4cSZ8+fXj++efz7bUL+hALEZF898UXX9C2bVtq1qzJokWLoro4FhEpiJKTk7n55psZOXIkjz32GC+88AJFiuRf2aoCWUQkxBVXXMHtt9/OggULqFpV0/2KiOS3okWLUqtWLYYOHcqgQYMwS28ynbxT0Kd5ExHJNx9//DEJCQmUL1+ef//7336HIyIScw4dOsS2bdu46KKLePrpp32LQz3IIiLAiy++SKdOnXjmmWf8DkVEJCbt27ePFi1akJCQwOHDh32NRT3IIhLTnHM89dRTPP7443Tq1ImBAwf6HZKISMzZuXMnLVu2ZO3atXzwwQeUKVPG13hUIItIzHLO8dBDDzFs2DBuvfVW/vOf/1CsmNKiiEh+2rZtG82bN2fbtm1MnTqVli1b+h2ShliISOzas2cPH374IXfffTdvv/22imMRER8MGjSIX375hVmzZhWI4hjUgywiMSgpKYkiRYpQsWJFli1bRqVKlfL9CmkREfG89NJL9OnTh0suucTvUE5SD7KIxJTjx4/TtWtX7r77bpxzxMXFqTgWEclny5Yto1WrVhw4cIDSpUsXqOIYVCCLSAw5cuQIHTp0YOLEiVx88cUqjEVEfLB48WKaNWvGhg0b2Ldvn9/hpEsFsojEhAMHDtCqVSvmzJnDqFGjuP/++/0OSUQk5syYMYNWrVpxzjnnsHjxYmrUqOF3SOnSGGQRiXrOOdq1a8eXX37JBx98QJcuXfwOSUQk5kyfPp0bbriBevXqMXPmTOLi4vwOKUMqkEUk6pkZ/fv3B+D666/3ORoRkdhUr149brjhBt58800qVKjgdziZ0hALEYlaW7Zs4cMPPwS8wljFsYhI/ps9ezYpKSlUr16d8ePHF/jiGFQgi0iUWr9+PfHx8dx7770cOHDA73BERGLSkCFDaNmyJW+99ZbfoYRFBbKIRJ1vv/2WRo0aceLECebOnUv58uX9DklEJKY453jkkUfo378/3bt3569//avfIYVFBbKIRJUvv/ySJk2aUKJECRYvXkz9+vX9DklEJKakpKTQp08fBg8ezO23386YMWMoXry432GFRQWyiESVhQsXctZZZ7F48WLq1q3rdzgiIjFn3bp1vPXWWzzwwAO88cYbFC1a1O+QwqZZLEQkKhw6dIiyZcvy0EMPcdddd1GuXDm/QxIRiSnOOcyMiy++mG+//ZY6deoU2hsyqQdZRAq98ePHU6tWLdasWYOZqTgWEclnR44coV27dowaNQqAunXrFtriGFQgi0ghN2rUKLp3784FF1zAeeed53c4IiIx5+DBg7Rp04ZPP/2UlJQUv8OJCBXIIlJovfzyy9x22200b96cGTNmqOdYRCSf7dmzh+bNm/PFF18wduxY/va3v/kdUkRoDLKIFEoTJkygT58+3HjjjYwbN46SJUv6HZKISEw5evQoTZo04fvvv+fjjz+mffv2focUMSqQRaRQat++PcOGDaNPnz4UK6ZUJiKS30qVKkXPnj1p2LAhCQkJfocTURpiISKFRkpKCs888wx79uyhZMmSPPDAAyqORUTy2YYNG1i6dCkADz30UNQVx6AeZBEpJJKSkrjtttsYPXo05cqV45577vE7JBGRmLNy5UpatmxJhQoVWLNmTaGc4zg71IMsIgXe8ePHuemmmxg9ejRPPfUUd999t98hiYjEnP/97380adKEYsWKMWnSpKgtjkE9yCJSwB05coROnToxY8YMXnjhBf7+97/7HZKISMxZsGAB7du3Jy4ujrlz51KjRg2/Q8pTKpBFpEA7ePAgmzZtYuTIkdx2221+hyMiEpPefPNNqlWrxuzZszn77LP9DifPqUAWkQJp//79lC1blipVqrBy5UpOO+00v0MSEYk5iYmJFC9enLfffptDhw5x1lln+R1SvtAYZBEpcH755Rfi4+NPXoin4lhEJP+NGjWKK6+8kr1791KyZMmYKY5BBbKIFDA//vgj8fHxbN68mZtuusnvcEREYtJLL73EbbfdRuXKlWOyk0IFsogUGBs2bCA+Pp7du3czZ84cmjVr5ndIIiIxxTnHU089xd///nduvPFGpkyZQunSpf0OK9+pQBaRAiExMZG2bdty7Ngx5s+fz9VXX+13SCIiMeell17iscceo2fPnowfP56SJUv6HZIvdJGeiBQIxYsX56233qJq1apceOGFfocjIhKTunbtyoEDB3jssccoUiR2+1Fjt+UiUiAsWLCAN954A4CmTZuqOBYRyWdJSUm8+uqrJCUlcfbZZzNgwICYLo5BBXJU2bdvH2ZG2bJlKV26NNWrV+c///nP77ZXr149zXHbt2+ndOnSnHnmmSfXvf/++zRs2JAKFSpw5pln0qRJE3766affvU7w8tJLL+Uq/r1793LjjTdSpkwZqlevztixY3O1/wcffMBFF11EmTJlqFWrFosXLz65be3atTRr1ozy5ctTu3ZtJk6cmK1tElnTp0+nTZs2vPLKKxw/ftzvcERyTXl4bLa2Zbb9+PHj3HbbbVSvXp3TTz+dK664gk8//TRX7ZKMHT9+nC5dunDvvfcyY8YMv8MpOJxzUbc0bNjQ5cT8+fNzdFxBMW/ePFexYsWTz99//31XtGhRN2nSpJPbzznnHHf66ae7AwcOnNyvZ8+erk6dOq5JkybOOefefvttV6tWLbds2TKXkpLidu3a5d566y13+PDhk+c588wzIx5/t27dXNeuXd1vv/3mFi9e7MqVK+dWr16d7r7z58/PdP9Zs2a5atWquSVLlrjk5GS3fft2t337duecc4mJia5OnTpu+PDhLikpyc2dO9eVLl3arV+/PtNtea2w///LSEbtGj9+vCtevLhr0KCB27VrV/4GlUs5fa+AZa4A5Mj8WmIxFysPn9o/q3NltP3QoUNuwIABbvPmzS45OdlNnTrVlS1b1m3evDni7c2oXdEmozYdOnTItWjRwgHu5Zdfzt+gIiAn71V287DvCTQvllhMys459/zzz7uWLVuefL59+3YHuDFjxpzc3q5dO3f11Ve7JUuWOOec+/rrr12tWrVcr1693D/+8Q/nnHPXXXedGzp0aKavc91110U09kOHDrnixYunKURvueUW989//jPd/adPn57p/tdcc40bOXJkuseuWrXKlSlTxqWkpJxc16JFC/foo49mui2vFfb/fxlJr11vv/22K1KkiPvTn/7k9u/fn/9B5ZIKZOXijCgPe/tnda5wX+vSSy91EyZMyFX7sqsw///LSHpt2r9/v7vuuutckSJF3KhRo/I/qAjIywJZQyyiyPLly2nYsCHg3YXs4YcfpmHDhpxzzjknt19++eXUr1+f1atXA9CvXz+eeeYZvvvuOy6//HIASpUqxahRoxg/fjy7d+9O93UuvvjiLONp164dFSpUSHdp165dmn03bNhA0aJFqVu37sl1l112GWvWrEn33Nu3b89w/+TkZJYtW8auXbuoXbs25557Lvfeey9Hjx4FvD8KQznnWL16dabbJHL27t1LQkICM2fOpHz58n6HIxIxysPe/lmdK5zX+vXXX9mwYQP16tXLsr2SfRs3bmT16tV88MEH9O7d2+9wChwVyFFkxYoVvPTSS5QrV44zzjiDnTt3MmPGDMzs5PbUxLxmzRqmTJnCsWPH6NixI6tWreKKK64AYPTo0bRq1Yp+/fpRuXJl2rdvz86dO9O8zpgxY9Ik2r59+/4unmnTprF///50l2nTpqXZ99ChQ78rlMqXL89vv/2WbluPHj2a4f6//voriYmJTJgwgcWLF7NixQqWL1/OU089BcCFF15IXFwczz33HImJicyaNYuFCxdy5MiRTLdJ7m3btg2Avn378umnn1KmTBmfIxKJLOVhb/+szpXd10pMTOTmm2/mL3/5iy7gjZDDhw8D0LBhQzZv3kyXLl18jqhg8r1ANrPWZrbezDaaWf90tlczs/lmttzMVppZWz/iLOiOHz/O2rVrWblyJQcPHmTChAl8+eWXFC9ePM321MS8YsUK+vfvz/PPP8/69etJSUnhoosuAqBKlSq8+OKLbN26laVLl7Jy5UqGDBmS5jyLFi1Kk2iff/75XMVftmxZDh48mGbdwYMHOf3009Pdv1SpUhnuX6pUKQDuu+8+qlatSsWKFenbty/Tp08HvOnEJk2axCeffEKVKlUYPnw4Xbt25dxzz810m+Scc46HH36YevXq8f333wNQtGhRn6OSYMrFuac8fGr/rM6VnddKSUmhZ8+elChRgldeeSXH7ZJTNm/eTP369Xn99dcBqFChgs8RFVy+FshmVhR4FWgDXAx0N7PQ74weBcblynvcAAAgAElEQVQ7564AugEj8jfKwmH16tWULFmS888/H4BOnTpRrVo1Pvroo5PbS5Uqxfnnn8+ll17KggULqF+/PldffTXLly/nkksuoVix30+L3bBhQy699NKTf3GuXr0aM+PSSy/NMqY2bdr87grr1KVNmzZp9q1bty5JSUkniyeAb7/9NsOv1M4999wM9z/jjDM499xzT/bYpKd+/fosXLiQPXv2MHPmTH744QeuuuqqLLdJ+FJSUrjvvvt49tln6dGjB7Vq1fI7JAmhXBwZysOn9s/qXFltd85x22238euvv/LRRx+d/CNDcm7dunXEx8ezb98+GjRo4Hc4BZ7fPchXARudcz84504AHwB/DtnHAeUCj8sDP+djfIVGanINLgrbtm3LlClTTm6/7LLLMDMqVKjA/PnzT/5FnvqVH8Czzz7L559/zvHjxzl+/DjvvPMOCxYsODk+afny5dSrVy9bd9b59NNPOXToULpL6JQ9ZcqUoWPHjjz++OMcPnyYzz//nMmTJ9OzZ890z12qVKlM9+/duzf//ve/2blzJ/v27ePFF19MM95u5cqVHDt2jCNHjjBs2DB27NhBr169stwm4UlKSmLo0KG8+uqrPPDAA7z22msxP7dmAaVcHAHKw6f2z+pcWW2/6667WLt2LVOnTj35raDk3Pfff098fDxJSUksXLhQnT7Z4Pcn1TnAtqDn2wPrgj0B3GJm24HpwH35E1rhsmLFCurXr59mXevWrZk9ezYnTpxIk3wBmjRpQsWKFYFTF42A9xVX7969Oeuss6hWrRoffvghc+fO5Y9//OPJ11m1alWaXojTTz+dAwcO5LoNI0aM4OjRo8TFxdG9e3dee+21ND0Xbdq0YfDgwdna/7HHHuPKK6+kbt26XHTRRVxxxRU88sgjJ48dM2YMVatWJS4ujrlz5zJ79uyTHzaZbZPwvPbaa8ycOZOBAwfy3HPPZdqrL75SLo4A5eG0+2d1roy2//jjj7zxxhusWLGCKlWqnGzj+++/n+v2xaJdu3bRt29fSpUqxaJFi7L1zYOApXfVfr69uFkXoJVz7m+B5z2Bq5xz9wXt0xcvzuFmdg3wH+AS51xKyLnuAO4AqFy5csMPPvgg7HgOHTpE2bJlc9yegioa26U2FQ5JSUnMnz+fFi1a+B1KROX0vWratOnXzrk/5EFIuaJcnPfUpsIjGtv18ccfc+2111KlShW/Q4monLxX2c7D2ZkLLq8W4BpgZtDzh4GHQ/ZZA5wX9PwHIC6z88bi3JuZicZ2qU0F14EDB1zv3r3dL7/84pyLnnYFi7Z5kJWL857aVHhES7smT57sFi1a5JyLnjaFiuZ5kL8C6phZTTMrgXfhx5SQfbYCCQBmdhFwGrArX6MUkWzZu3cvzZs3Z8yYMXz11Vd+hyPZp1wsEkXGjRtHx44defLJJ9Od31+y5muB7JxLAu4FZgJr8a6QXmNmg8ysQ2C3B4DbzexbYBzQy+ndFilwfvnlFxo3bszKlSv5+OOPf3cTAim4lItFosebb77JzTffTHx8PB999JGu/cih388nk8+cc9PxLvgIXvd40OPvgD/ld1wikn3btm0jISGBn3/+mU8++YSEhAS/Q5IwKReLFH7Dhw+nX79+tG3blgkTJmgGkFzwe4iFiESBkiVLctZZZzF79mwVxyIiPnDOsWzZMrp06cLEiRNVHOeS7z3IIlJ4bdy4kWrVqhEXF8cXX3yhr/JERPKZc459+/Zx5plnMnr0aIoUKaI7lUaAepBFJEeWLl3KVVddRb9+/QBUHIuI5LPk5GTuuOMOrrnmGg4ePEjx4sVVHEeICmQRCdvChQtJSEigQoUK/OMf//A7HBGRmJOYmMgtt9zCyJEj6dq1K6effrrfIUUVDbEQkbDMmDGDG2+8kZo1azJ79mzOOSf0hmsiIpKXjh07RteuXZk6dSpDhgzhoYce8jukqKMCWUSy7dChQ/Ts2ZOLLrqImTNnUqlSJb9DEhGJOf369WPq1KmMGDGCu+66y+9wopIKZBHJtrJlyzJjxgxq1apFhQoV/A5HRCQmPf744zRt2pROnTr5HUrU0hhkEcnSiBEjGDZsGAANGzZUcSwiks927txJv379SExMJC4uTsVxHlOBLCKZGjJkCPfccw+fffYZKSkpfocjIhJztm3bRqNGjRgxYgSrVq3yO5yYoAJZRNLlnOORRx6hf//+9OjRg//+978UKaKUISKSnzZt2kR8fDw7duxg1qxZNGjQwO+QYoLGIItIuvr27cuLL77IHXfcwYgRIzS3pohIPluzZg0tWrTgxIkTzJs3j4YNG/odUsxQd5CIpOuCCy6gb9++vP766yqORUR8cOzYMcqXL8/ChQtVHOcz9SCLyEknTpxg9erVNGjQgDvvvNPvcEREYtLWrVupVq0aDRs2ZPXq1eqk8IF6kEUEgKNHj3LjjTfSqFEjduzY4Xc4IiIxaebMmVx44YWMHDkSQMWxT9SDLCL89ttvdOjQgYULF/L6669TtWpVv0MSEYk5H3/8Md26daNevXp06NDB73BimgpkkRi3d+9e2rRpw9dff837779P9+7d/Q5JRCTmjBkzht69e3PVVVcxffp0zTfvMxXIIjHulVdeYcWKFXz88cfqsRAR8cH3339Pr169aNKkCZMnT6Zs2bJ+hxTzVCCLxLhHHnmEDh06cPnll/sdiohITKpTpw5TpkwhISGB0047ze9wBF2kJxKTNm7cSNOmTfnpp58oWrSoimMRkXzmnOOJJ55gzpw5AFx//fUqjgsQFcgiMWb16tXEx8ezatUqdu3a5Xc4IiIxJyUlhb///e8MHDiQqVOn+h2OpEMFskgMWbZsGY0bN8bMWLRokXqORUTyWXJyMn/72994+eWXT96xVAoeFcgiMWLp0qU0a9aMcuXK8dlnn3HxxRf7HZKISExJTEyke/fuvP322wwYMIBhw4ZhZn6HJelQgSwSI2rXrk3r1q357LPPOP/88/0OR0Qk5hQtWpTTTz+d4cOH88QTT6g4LsA0i4VIlFuwYAFXX301Z555JuPHj/c7HBGRmPPbb7+xb98+qlWrxsiRI1UYFwLqQRaJYqNHjyYhIYGnnnrK71BERGLS3r17ad68OS1atCAxMVHFcSGhHmSRKDVixAjuueceEhIS6N+/v9/hiIjEnF9++YWWLVuyYcMGxo8fT/Hixf0OSbJJPcgiUWjo0KHcc889tG/fnmnTpumuTCIi+Wzr1q00atSITZs28cknn+hOpYWMepBFosyvv/7Ks88+S7du3Rg9erR6LEREfNC3b1927tzJ7Nmzufbaa/0OR8KkAlkkSjjnAKhcuTJLly6lZs2aFC1a1OeoRERi05tvvsn27dupX7++36FIDmiIhUgUSJ14PvVivNq1a6s4FhHJZ1999RXdunXj2LFjnHnmmSqOCzEVyCKF3IkTJ+jRowejRo0iKSnJ73BERGLSwoULadasGV999RW7d+/2OxzJpVwXyGbW0cy2mdnawPM4M6uU+9BEJCtHjx6lY8eOjB8/nueee46BAwf6HZL4RLlYxD/Tp0+ndevWVKtWjcWLF3Puuef6HZLkUiR6kAcBDYBjQeccG4HzikgmUlJS+POf/8z06dN5/fXX6devn98hib+Ui0V8MGnSJG644QYuvvhiFi5cyNlnn+13SBIBkSiQDzrndqU+cc79ApwVgfOKSCaKFClCjx49GD16NP/3f//ndzjiP+ViER/UqlWLNm3aMG/ePCpWrOh3OBIhkZjFYrOZXQY4ADMrDmjSVZE8snPnTlatWkVCQgK9evXyOxwpOJSLRfLR559/zrXXXsull17K5MmT/Q5HIiwSPch9gWHAOWb2ADAd+CIC5xWRENu2bSM+Pp6uXbty8OBBv8ORgkW5WCSfPPPMM1x33XWMHz/e71Akj+S6B9k596uZtQLaAvWB94H3cnteEUlr06ZNJCQksG/fPj755BPKlSvnd0hSgCgXi+Q95xwPP/wwQ4YM4eabb6Zjx45+hyR5JNcFsplVCox7mxZYRCTCvvvuO5o3b86JEyeYN28eDRs29DskKWCUi0XyVkpKCvfeey+vvfYad955J6+++ipFimi23GgViTHIS8ysFLASWAF8C3zrnFsbgXOLCDBmzBjAm2ezXr16PkcjBZRysUge+uqrr3jjjTd48MEHGTJkCGbmd0iShyIxxKK2mZUFLgf+CDwNHAEuze25RWJdUlISxYoV4+mnn+b++++natWqfockBZRysUjecM5hZvzxj3/km2++oX79+iqOY0BEvhtwzh1yzn3mnBsOXAnMiMR5RWLZ7NmzueSSS9iyZQtFihRRcSxZUi4WiawjR47QoUMHpk3zRi1ddtllKo5jRCTupHeNmZVJfe6c2wvUyu15RWLZpEmTaNeuHaeddhqlS5f2OxwpBJSLRSLrwIEDtG7dmk8++YRdu3ZlfYBElUj0IA8AvjezDWb2oZm9BlTL7sFm1trM1pvZRjPrn8E+Xc3sOzNbY2a6M5REtffee4/OnTvToEED5s+fT1xcnN8hSeGQ41ysPCyS1u7du0lISGDJkiWMGzeO3r17+x2S5LNcjUE2syLAIefc2WZWFW/sWyXgiWweXxR4FWgBbAe+MrMpzrnvgvapAzwM/Mk5t8/MVC1I1Jo4cSK33norTZs2ZfLkyZQtq/s8SNZyk4uVh0XSOnToEI0bN2bTpk1MmjSJ66+/3u+QxAe5KpCdcylmVi7weAewI8xTXAVsdM79AGBmHwB/Br4L2ud24FXn3L7A6+zMTcwiBVmzZs3o168fgwYN4rTTTvM7HCkkcpmLlYdFgpQpU4a2bdvStm1bmjZt6nc44pNIDLFYZ2YjU5NzmM4BtgU93x5YF6wuUNfMPjezL82sdU4DFSmInHP85z//4dixY5QvX56hQ4eqOJacyGkuVh4WAdavX8/69esxM5577jkVxzEuEvMglwAuAX40s/XAcmC5c+7NbByb3qWgLuR5MaAO0AQ4F1hsZpc45/anOZHZHcAdAJUrV2bBggXhtAHwvlbJyXEFXTS2K1ra5JxjxIgRTJgwgdtvvz0qC+Noea+CFdA25TQXRywPg3JxRtSmgm3jxo08+OCDxMXFMWzYsKhpV6poeq+C5Wm7nHO5WoA2gX8NuBDoBgzO5rHXADODnj8MPByyz+tAr6Dnc4ErMztvw4YNXU7Mnz8/R8cVdNHYrmhoU1JSkvvb3/7mANenTx83d+5cv0PKE9HwXoXKaZuAZS6XOTejJae5OK/ysFMuTkNtKri++OILV6FCBXfuuee6devWRU27gkVjm5zLWbuym4cjMcTi6UCh7Zxz65xzH5B27FpmvgLqmFlNMysRSOhTQvaZBDQFMLOKeF/1/RCBuEV8k5iYyC233MLIkSN59NFHeeGFF3TLUsmtnOZi5WGJWXPnzqVFixZUrFiRzz77jAsuuMDvkKSAyPEnspndYWbvA2cFpgiqErQ53WmCQjnnkoB7gZnAWmC8c26NmQ0ysw6B3WYCe8zsO2A+8KBzbk9O4xYpCH766SfmzZvHkCFDePLJJzXxvORYbnOx8rDEKuccQ4YMoWbNmixatIjq1av7HZIUILkZg/wh3oUdzYHewOVmdjrwM7Avuydxzk0HpoesezzosQP6BhaRQu3YsWOULFmSGjVqsHbtWs4880y/Q5LCL9e5WHlYYk1KSgpFihRhwoQJJCYmctZZZ/kdkhQwOe5Bds4dcM59CrR1zt3knLsA7yKOv+DNpykiQfbt20fTpk159NFHAVQcS0QoF4uEZ+TIkSQkJHDkyBHKlSun4ljSFXaBbGaVzOwuM3vGzB4GtqRuc84dds6tcc4di2SQIoXdzp07adasGV9//TV/+MMf/A5HooBysUj4XnzxxaidMUgiK6whFmb2J7yv4Q4DG4E/cWpsWk9giXNuY8SjFCnEtm/fTosWLfjxxx+ZOnUqrVq18jskKeSUi0XC45zjySefZMCAAXTq1ImxY8dSokQJv8OSAizcHuQXgU+BakAz0s6fWQ94PL2DRGLViRMnaNasGT/99BMzZ85UcSyRolwsEoZnnnmGAQMG0KtXLz744AMVx5KlcC/Sqwf0d84lmVnRkG1LgaGRCUskOpQoUYLBgwdTo0YNDa2QSFIuFglDp06dOHLkCIMGDdKUmpIt4f4v+QmomcG2XUDV3IUjEh2++eYbJk6cCEDnzp1VHEukKReLZCExMZHRo0fjnOOCCy7gqaeeUnEs2Rbu/5Q3gSfMrFY622oQxvRuItHq888/p2nTpjz00EOcOHHC73AkOikXi2Ti2LFjdOnShb/85S8sWrTI73CkEAq3QH4eWAd8gzcGzgHlzOwK4BG8CeRFYtbs2bNp2bIlVapUYd68eRrnJnlFuVgkA4cPH6Z9+/ZMnjyZV199lcaNG/sdkhRCYRXIzrlkoBUwGOiKd2HIXGAZcAT4Z6QDFCksJk+eTLt27ahduzaLFi3ivPPO8zskiVLKxSLp279/Py1btmTevHm8++673H333X6HJIVU2HfSCyTmIWY2FLgUb6zbDmBNYJtITFqyZAlXXHEF06dP101AJM8pF4v83tdff82KFSsYP348nTp18jscKcRyfKvpwK1HVwYWkZi1f/9+KlSowDPPPMPRo0cpXbq03yFJDFEuFvGm1CxRogQJCQls2bKFSpUq+R2SFHJhDbEws7VmNs7M+ptZGzM7J68CEykMhg8fzkUXXcSPP/6Imak4lnyhXCxyyg8//EC9evX4+OOPAVQcS0SE24M8BvgbcFPguTOzfcC3wApgMTDdOadL9yWqOecYOHAgAwcOpEuXLlStqlm1JF8pF4sA3333Hc2bN+f48eNUq1bN73AkioQ7i0UKcBBoBJwHXAMMAS4AegMjga1mpoE/ErWcc/Tr14+BAwfSu3dvxo0bp9kqJL8pF0vM++abb2jUqBHOORYuXKj55iWiwu1B7gv0cs59Fnj+E7DUzN4EZgNP4k1e/76Z7XfOzY1cqCIFwyuvvMLzzz/Pfffdx4svvqiJ58UPysUS07Zu3UrTpk0544wzmDNnDrVr1/Y7JIky4RbIxYDyoSudcwfMbDDwmHPuKjO7AHgUb9ohkajy17/+lZIlS3L77bdjZn6HI7FJuVhi2nnnncejjz5Kt27dNKWm5Ilwu74mAo+b2VnpbEsC6gUeTwf0XYdEjWPHjvGvf/2L3377jTJlynDHHXeoOBY/KRdLTJoyZQqrV6/GzHjwwQdVHEueCbdA7oc3Cf0mM3vczBqY2blm1gRvwvp1gf1O5ODcIgVS6l2ZnnnmGWbPnu13OCKgXCwx6P3336djx4489thjfociMSCsIRbOuX1mdg3wMHAvMCCwyYBtQOfA8z8AmyMVpIhf9u/fz/XXX8+XX37JO++8Q8eOHf0OSUS5WGLOG2+8wV133UWTJk0YPXq03+FIDMjJnfROAAPNbBBwGVAF2A1865xLDOz2Bd5UQyKF1q5du2jVqhWrV6/mww8/pHPnzlkfJJJPlIslVgwbNowHH3yQ66+/nv/+97+UKlXK75AkBoRdIJtZMaAWcMQ5l27idc4tzG1gIn777bffOHjwIJMnT6ZNmzZ+hyOShnKxxIKkpCRmzJjBTTfdxJgxYyhevLjfIUmMCKtANrOr8S4OiQs8PwKswpuc/lu8noslkQ5SJD/9+uuvVKpUifPPP5+1a9cqIUuBo1ws0S4lJYUjR45QtmxZpkyZQsmSJSlatKjfYUkMCffijeeBz4GL8ca6jQaOAf8HvAJ8lvGhIgXf2rVradCgwcmLQFQcSwGlXCxRKzk5mdtvv53mzZtz7NgxSpcureJY8l24BfKlwFvAxsDz/zjnmgFtgQ1AfARjE8lXy5cvp1GjRiQnJ9OtWze/wxHJjHKxRKUTJ07Qo0cPRo0aRatWrShZsqTfIUmMCrdAPgYcd84l400xdAaAc24G8C5wX2TDE8kfX3zxBU2bNqVUqVIsXryYSy+91O+QRDKjXCxR5+jRo3Ts2JHx48fz3HPPMXDgQM03L74Jt0D+Du/2pQA/4PVipPoKaB2JoETy08GDB2nfvj1xcXF89tln1KlTx++QRLKiXCxR56677mL69Om8/vrr9OvXz+9wJMaFO4vFG3hj3gDeA/qa2WfA98Bf8HoyRAqVcuXKMW7cOOrXr0+VKlX8DkckO5SLJeo89thjtG3blq5du/odikjYNwoZG/T0ZaANsBRwgeXuyIUmkrfGjRtHcnIyt9xyCy1btvQ7HJFsUy6WaPHrr7/y5ptv8sgjj1CrVi1q1arld0giQA7mQU7lnDsGNDWzxsA5wDfOuXVZHCZSIIwcOZI77riDZs2acfPNN2ucmxRaysVSWG3dupUWLVqwfft2OnfuzEUXXeR3SCIn5bhATqWJ6KWweeGFF+jbty9t2rRhwoQJKo4lKigXS2GyceNGEhIS2L9/P7NmzVJxLAVOuDcKKQn0Bi4A9gKrgZXOuU15EJtIxA0aNIgBAwbQqVMnxo4dS4kSJfwOSSRsysVSmK1evZoWLVqQlJTE/PnzadCggd8hifxOuD3IY4Eb8JJxGaAGYGZ2GFiDd/emOyMaoUgEJSUl0atXL9566y2KFcv1FygiflEulkJrx44dlCpVimnTpnHxxRdnfYCID8KtEFoC9znnRgCYWSm86YXqBy0iBUpycjJbt26lZs2aDBw4EOccRYqEO8OhSIGiXCyFzs6dO4mLi6NFixasW7dO3+BJgRZulbAV2Jz6xDl31Dm31Dk30jl3v3OuSUSjE8mlxMREbr31Vq688kp27tyJmak4lmigXCyFyowZMzj//POZOHEigIpjKfDCrRSeRdMHSSFx/PhxunTpwtixY3nggQeIi4vzOySRSFEulkJjwoQJdOjQgbp163Ldddf5HY5ItoRVIDvnxgBbzGy2mTUzs+J5FJdIrhw+fJj27dszefJk/v3vf/Pwww/7HZJIxCgXS2Hx7rvvctNNN3HllVcyb948KlWq5HdIItkS7iwWDwD3BJ4mAIlmtg74NrCsdM7NjmyIIuEbPHgwc+fO5e2336ZXr15+hyMSUcrFUhgsX76cXr160bx5cyZNmkSZMmX8Dkkk28K9SO8RvNuaPop35XR94LLAv33wJqkvGskARXLi0UcfpVmzZiQkJPgdikheUC6WAu+KK65g7Nix3HjjjZx22ml+hyMSlnDHICcC7zjntjrn1jrnPnTO/cs51845Vw04Kw9iFMmWn3/+mR49erB//35KlSql4liimXKxFEjOOQYNGsQ333wDQPfu3VUcS6EUboH8Ht7Xeelyzu3PXTgiObNlyxbi4+OZOnUq69ev9zsckbymXCwFTkpKCvfddx8DBgzgww8/9DsckVwJt0D+EehuZveYmb6+kwJh3bp1XHfddezbt485c+bwxz/+0e+QRPKacrEUKElJSfz1r3/l1VdfpV+/fjz77LN+hySSK+EWyIPx7tj0b2CnmU02s4Fm1tHMauUkADNrbWbrzWyjmfXPZL/OZubM7A85eR2JTitXrqRRo0YkJiayYMECFccSK5SLpcA4ceIE3bp1491332XQoEEMHToUM/M7LJFcCbdAPh2oA3QCXgJOAN2A8cD3ZvZbOCcL9Hy8CrQBLsbrEfndfSfN7HTgfuB/YcYrUe6MM87gwgsvZPHixdSvr5uHScxQLpYC5fjx47zwwgs89thjKo4lKoQ1i4VzzgGbAsvE1PVmdhpwSWAJx1XARufcD4HzfAD8GfguZL8ngaFAvzDPL1Fq06ZNxMfHc95557Fw4UIlZIkpysVSEBw+fJhdu3ZRqVIlJk+erLuUSlQJ+3+zmRUzswvM7LzUdc65Y865Zc65d8I83TnAtqDn2wPrgl/vCuA859y0cGOV6DRt2jTuuusuBg8eDKDiWGKScrH4ac+ePTzwwANcf/31pKSkqDiWqBPujUKuxuutiAs8PwKs4tTk9N8655aEc8p01rmg1ysCvAD0ykZsdwB3AFSuXJkFCxaEEYbn0KFDOTquoIumds2bN4/BgwdTs2ZN6tevHzXtguh6n4JFY7v8bpNyceETTW3as2cP/fr146effuKJJ55g0aJFfocUUdH0XqWKxjZBHrfLOZftBfgCmABcAKTgjVmbF3icBCSHeb5rgJlBzx8GHg56Xh7YDWwJLMeAn4E/ZHbehg0bupyYP39+jo4r6KKlXW+99ZYzMxcfH++mTZvmdzgRFy3vU6hobFdO2wQsc2HkyIwW5eLCJ1ratGXLFle7dm1XpkwZN3z4cL/DyRPR8l4Fi8Y2OZezdmU3D4f7ncilwFvAxsDz/zjnmgFtgQ1AfJjn+wqoY2Y1zawE3kUmU1I3OucOOOcqOudqOOdqAF8CHZxzy8J8HSnkduzYQZ8+fWjVqhUzZszQLUsl1ikXiy9uu+02du/ezZw5c2jQoIHf4YjkmXAL5GPAcedcMnAEOAPAOTcDeBe4L5yTOeeSgHuBmcBaYLxzbo2ZDTKzDmHGJlGsatWqLFiwgEmTJlG6dGm/wxHxm3Kx+GLUqFEsWLCAq6++2u9QRPJUuAXyd0DNwOMf8HoxUn0FtA43AOfcdOdcXedcLefc04F1jzvnpqSzbxP1WMQO5xz//Oc/eeuttwC48sorKVmypM9RiRQIysWSb/73v/9x9913k5ycTLVq1bjsssv8Dkkkz4VbIL8BpE5C/x7Q18z+YGblgb/g9WSI5FpKSgp33303Q4cO5dtvv/U7HJGCRrlY8sX8+fNJSEhg1qxZ7N692+9wRPJNuPMgjw16+jLepPJL8a52dsDdkQtNYlVSUhK9e/fmvffe46GHHtItS0VCKBdLfvjkk0/o1KkTtWvXZvbs2VSuXNnvkETyTVgFcjDn3DGgqZk1xpsv8xvn3LqIRSYxKSUlha5duzJx4qzcPsQAACAASURBVESefvppHn74Yc1zLJIJ5WLJC//973/p0aMHl19+OTNmzOCss87yOySRfJWtAtnMigG3AdcDZwOH8O7gNBf4yDl3PM8ilJhSpEgRrrrqKpo0acL999/vdzgiBYpyseSXuLg4EhISGD9+POXKlfM7HJF8l+UYZDMrDswBXgMuB34DiuN9pfcesNXMuudlkBL9Dhw4wPLlywHo37+/imOREMrFkh9S83Djxo359NNPVRxLzMrORXp9gKuBzs65as65ps65PznnzgYuw+u5eM/M/pGXgUr02r17NwkJCbRq1YpDhw75HY5IQaVcLHnGOceTTz5JgwYNmDVrFoCGt0lMy84Qi67A6865j0M3OOdWAT3M7GtgiJlNc859H+kgJXrt2LGD5s2bs2nTJj766CPKli3rd0giBZVyseQJ5xwPPfQQw4YN49Zbb6VZs2Z+hyTiu+z0IF8IZHqjdefccGAJ3kTzItmyZcsW4uPj+fHHH/n000+5/vrr/Q5JpCBTLpaIS0lJ4a677mLYsGHcfffdvP322xQrluPr90WiRnYK5LLAz9nY7z2gSa6ikZgybNgw9uzZw5w5c2jatKnf4YgUdMrFEnFz5szhjTfeoH///rzyyisUKRLu7RFEolN2/0xMzsY+G4DzchGLxAjnHGbG888/z/3330/dunX9DkmksFAulohq2bIln3/+Oddee63foYgUKNn9U/EFMxtuZr0Cd2sqlc4+xwBd7iqZ+vLLL2nUqBG7d++mRIkSKo5FwqNcLLl2+PBhOnbsyJIlSwBUHIukIzs9yC8BlwA3A3EE7tRkZpuB1cCqwL8lAV3yKhmaP38+7du3p0qVKhw+fJiKFSv6HZJIYaJcLLm2f/9+2rVrx5IlS+jYsSPXXHON3yGJFEhZFsjOuZNTBplZJaB+YLk0sLQEUnsxXB7EKFHgk08+oXPnztSqVYvZs2dTtWpVv0MSKVSUiyW3du3aRatWrVi9ejUffvghnTt39jskkQIrrEtVnXO78ObanJu6zryJEuvgJepLIhqdRIXp06dzww03cNlllzFjxgz1HIvkknKxhGv37t00btyYzZs3M3nyZNq0aeN3SCIFWq7ncnHOObyLQjYAE3IdkUSdK664gh49evDyyy9Tvnx5v8MRiUrKxZKZChUqcNVVV/Haa6/RuHFjv8MRKfA0n4vkmWnTppGUlETVqlV59913VRyLiOSzdevW8fPPP1OsWDHeeecdFcci2aQCWfLE4MGDad++Pa+//rrfoYiIxKTly5cTHx9Pz549/Q5FpNBRgSwR5Zyjf//+PPLII9xyyy3ceeedfockIhJzPv/8c5o2bUrp0qXVUSGSAyqQJWJSUlK49957GTJkCHfeeSfvvvuublkqIpLP5syZQ8uWLYmLi2Px4sXUqVPH75BECh0VyBIxGzdu5N133+XBBx9kxIgRumWpiEg+S0lJof//s3f3cVbO+R/HX5+mUTONdKfY7lGLFBVt7epWS4mQTVqhsGtJK7RWbmJZspsiFJsfUqGQpFblrqlBbitUViK61Z2Uappu5vv747qmrjmduW1mrjPnvJ+Px/WYc67re13n8z1nzud8z/f6Xt9z220cf/zxZGRk0KBBg7BDEimX1L0nhy07O5sKFSrQtGlTlixZQsOGDfFmnBIRkbLinKNChQrMnDmTI444gho1aoQdkki5pS4+OSy7du2iR48ePProowA0atRIjWMRkTI2btw4LrnkEvbt28cxxxyjxrHIYVIDWYpt+/btdOvWjTlz5pCamhp2OCIiCWnkyJFce+21ZGZmsm/fvrDDEYkLaiBLsWzZsoWzzjqLBQsW8OKLL3LNNdeEHZKISEJxznH33XczZMgQLrnkEl599VUqV64cdlgicUFjkKXIsrKy6Ny5M8uXL2fatGmcd955YYckIpJw7r77bu677z6uuuoqxo0bR1JSUtghicQNNZClyCpVqsS1117LSSedRJcuXcIOR0QkIZ177rlkZWUxfPhwzRokUsLUQJZCW758ORs2bKB9+/YMHDgw98bMTNi6FfbuheRkqF4dUlLCCVREJB5Eyat7K1bkv//9LxdeeCFt27albdu2YUcpEpf0lVMK5YsvvqBDhw7079+fvXv35t64di0MGQJNmkCjRt7fIUO89SIiUnRR8mrm4MFc1L07F110EQsXLgw7QpG4ph5kKdBHH31E9+7dSU1N5b///S/JyckHN65dC+3awerVB9ft2gVjx8KMGbBgAdStW/ZBi4iUV1Hy6o5du+g5bhzpwBPDh9OqVavQwhNJBOpBlnylp6fTtWtXqlevTkZGBieeeOLBjZmZ8MADuRvHQatXw/DhXjkRESlYlLy6Ffg9MB+YAPxlzRrlVZFSpgay5GvSpEk0aNCAjIwMGjdunHvj1q0wfnz+B3j2Wa+ciIgULEpefRdYBLwM9APlVZEyoCEWEtWePXs44ogjeOKJJ/jll1+i/yrT3r3ecIr87NrllRMRkYIF8uo+vA/pi4E2QP2cMsqrIqVOPchyiPHjx3PqqaeyYcMGkpOT8/7J0uRkKOgX9FJTvXIiIlIwP6+uAJoD6f7q+sEyyqsipU4NZMnl8ccfZ8CAAdSvX5+0tLT8C1evDv37519mwACvnIiIFKx6dZacfz7tgU1A1WhllFdFSp0ayHLA8OHDGTRoEBdeeCEzZsygSpUq+e+QkgK33w7160ffXr8+DB2q+ZBFRArp06VL6ThnDhWSkpgPHDJXhfKqSJlQA1kAGDt2LLfffjuXXXYZL730EpUqVSrcjnXrelO5DRx4cLhFaqp3X1O8iYgU2tdff02XLl2oWq0aGfPnc7LyqkhodJGeANC7d2+2bNnCHXfcUfSfLK1bF0aM8HqT9Ut6IiLF0qRJE2644QYGDhxI3bp1oWVL5VWRkKgHOYHt27eP0aNHs2fPHo4++mjuuuuuojeOc6SkwK9+BQ0ben+VxEVECmXGjBmsWrWKChUq8MADD3iNY1BeFQmRGsgJas+ePfTt25fBgwfz+uuvhx2OiEhCmjBhAhdeeCF33HFH2KGISIAayAkoMzOTCy+8kFdeeYWHH36YP/zhD2GHJCKScMaOHcuVV15J586deeKJJ8IOR0QC1EBOMNu3b6d79+7Mnj2bp556isGDB4cdkohIwnnwwQcZOHAgPXv2ZObMmQVPqykiZUoX6SWYVatWsXTpUp5//nn69u0bdjgiIgln9+7dvPTSS/zxj39k/PjxJOtHP0RiTugNZDPrBowGkoD/c849GLH9ZuAavF/d3ARc5Zz7ocwDLed27NhBWloap5xyCt9++y1Vq0adfl5EEpDycNnIzs5m7969VK5cmXfffZcjjzySpKSksMMSkShCHWJhZknAGKA7cDLQ18xOjii2CDjdOdcCeAX4d9lGWf5t2LCBVq1aMXLkSAA1jkXkAOXhsrF//36uvvpqevXqxb59+6hWrZoaxyIxLOwxyG2AFc6575xze4DJwAXBAs65uc65Xf7dD4F6ZRxjufbNN99w4403snHjRtq1axd2OCISe5SHS9mePXu47777GD9+PL/5zW/UMBYpB8JuINcFVgfur/HX5eVqYFapRhRHlixZQocOHdi9ezdz587lt7/9bdghiUjsUR4uRbt27eLCCy9k3rx5jBo1imHDhmFmYYclIgUIewxytCzhohY06wecDnTMY/ufgT8D1KlTh/T09CIHs2PHjmLtF4t27NhBv379SE5OZvjw4Wzbti1u6gbx9VrliMc6QXzWK87qVGJ52C+jXBxw9913k5GRwQ033EDLli3jpl4QX69TUDzWKx7rBKVcL+dcaAvQDpgTuD8UGBqlXFfgK6B2YY7bunVrVxxz584t1n6xatKkSe7bb7+Nu3o5F3+vlXPxWSfn4rNexa0T8KkLMedGW0orDzvlYueccwsXLnSTJ0+OqzrliMc6ORef9YrHOjlXvHoVNg+HPcTiE6CJmTU2syOAS4FcP+tmZi2B/wA9nXMbQ4ixXJk9ezZz5swB4LLLLuO4444LOSIRiXHKwyXsxx9/ZMyYMQC0bNmSPn36hByRiBRVqA1k59w+4AZgDl7PxEvOuaVmdq+Z9fSLjQDSgJfNbLGZ6XeR8zB16lR69uzJfffdl9PjIyKSL+XhkvXDDz/Qvn17/v73v/PDD5oJT6S8CnsMMs65N4A3ItYNC9zuWuZBlUPPPfccV111FW3btmXmzJm6CERECk15uGQsX76crl27sn37dt566y0aNmwYdkgiUkyhN5Dl8I0dO5aBAwdy1llnMX36dKpUqVL2QWRmwtatsHcvJCdD9eqQklL2cYiIlLYo+e6Lb77h97//Pc450tPTOe2008KOUkQOQ9hjkOUwOedYtGgRPXv2ZObMmeE0jteuhSFDoEkTaNTI+ztkiLdeRCSe5JHvlr33HpUrV2b+/PlqHIvEAfUgl1POOX766Sdq1qzJk08+SXZ2NsnJyWUfyNq10K4drA5Mo7prF4wdCzNmwIIFUDe/KVVFRMqJKPnu5127qDZ2LJfWr0/Pd98l9YQTQgxQREqKepDLoezsbG688UZat27N5s2bSUpKCqdxnJkJDzyQu3EctHo1DB/ulRMRKc+i5Ls3gEZAOsDq1aQ+8ojynUicUAO5nNm/fz9XX301jz32GBdffDE1a9YML5itW2H8+PzLPPusV05EpDyLyHcv4/0e9/HAKTkrle9E4oYayOXInj176Nu3L+PHj+fuu+/moYceCne2ir17veEU+dm1yysnIlKeBfLdM3iTRbcF3gVq5ZRRvhOJG2oglyPDhg3j5Zdf5qGHHuKee+4Jfyq35GRITc2/TGqqV05EpDzz89184Gq8nxWcAxwVLKN8JxI31EAuR/7+978zZcoUbrnllrBD8VSvDv37519mwACvnIhIeebnu/bAk3g/NXhI94DynUjcUAM5xv3000/cfPPN7N69m+rVq3PJJZeEHdJBKSlw++1Qv3707fXrw9Chmg9ZRMo15xz3jxrFt3/8I1a/PtcClSILKd+JxBU1kGPYhg0b6Ny5M2PGjOGzzz4LO5zo6tb1pnIbOPDgcIvUVO++pngTkXIuOzub66+/njvvvJOJb72lfCeSIDQPcoxavXo1Xbt2Zc2aNcycOZPf/e53YYeUt7p1YcQIrzdZv6QnInFi3759DBgwgEmTJnHrrbdy9913g5nynUgCUAM5Bq1YsYKuXbuydetW3nzzzdhuHOdISdEHhIjEjaysLPr27cu0adO4//77GTp06MELo5XvROKeGsgxKCsri8qVKzN37lxatWoVdjgiIgln7969/Pjjjzz66KMMGjQo7HBEpIypgRxDVq9eTb169WjWrBlLly4lKSkp7JBERBLKtm3bSEpKIi0tjfnz51Oxoj4mRRKRLtKLERkZGTRr1ozRo0cDqHEsIlLGNm/eTJcuXejduzfOOTWORRKYGsgxYM6cOZxzzjnUrVuX3r17hx2OiEjCWbduHR07dmTZsmUMGjQo/B9iEpFQqYEcsldffZXzzz+fX//618ybN4+6miZIRKRMrVy5kvbt27Nq1SpmzZrFueeeG3ZIIhIynT8K0dq1a+nbty+nn346b7zxBtWqVQs7JBGRhOKco0+fPmzdupV33nmHNm3ahB2SiMQANZBDVLduXaZPn86ZZ55JWlpa2OGIiCQcM+PZZ59l//79tGjRIuxwRCRGaIhFCB566CGmT58OQLdu3dQ4FhEpYwsWLGDYsGE452jWrJkaxyKSixrIZcg5x5133snf/vY3pk2bFnY4IiIJ6Z133uH3v/89L774Itu2bQs7HBGJQWoglxHnHDfddBP3338/V199NU8//XTYIYmIJJwZM2bQo0cPjjvuODIyMnTth4hEpQZyGcjOzuZPf/oTo0ePZvDgwTz11FOa51hEpIxNnjyZiy66iFNPPZX09HSOOeaYsEMSkRilBnIZMDNSU1O56667GDVqlObXFBEJQXJyMp06deLtt9+mRo0aYYcjIjFMs1iUot27d7N+/XoaN27M6NGj1TAWEQnB119/za9//WsuvvhievXqpVwsIgVSD3Ip2bFjBz169KBjx47s3LlTCVlEpIw55/jHP/7BKaecwkcffQSgXCwihaIe5FKwdetWzj33XD755BPGjx9PlSpVwg6p9GVmwtatsHcvJCdD9eqQkhJ2VCKSKCJykKtWjb8NG8bIkSPp378/rVu3DjtCESlH1INcwjZu3Ejnzp1ZuHAhL7/8Mv369Qs7pNK3di0MGQJNmkCjRt7fIUO89SIipS0iB+0/4QSuPeMMRo4cyaBBg3j66aepWFH9QSJSeMoYJWzo0KEsX76cGTNmcPbZZ4cdTulbuxbatYPVqw+u27ULxo6FGTNgwQKoWze8+EQkvkXJQVMzM3lq2TLuqFqV+269FaugviARKRpljRL28MMPM2/evMRoHGdmwgMP5G4cB61eDcOHe+VEREpaHjmoN/AW8M/t27EHH1QOEpEiUwO5BCxdupTevXuzc+dOqlatyhlnnBF2SGVj61YYPz7/Ms8+65UTESlpgRy0A7gU+AowoGtOGeUgESkGNZAP02effUbHjh157733WLduXdjhlK29e73hFPnZtcsrJyJS0vwc9DNwNvAy8EVkGeUgESkGNZAPw3vvvUeXLl1IS0sjIyODJk2ahB1S2UpOhtTU/MukpnrlRERKWnIyG1NS6Ax8itdA7hNZRjlIRIpBDeRievfddzn77LM59thjee+99zjhhBPCDqnsVa8O/fvnX2bAAK+ciEgJW797Nx0rVeJrYAbQK1oh5SARKQbNYlFM9erVo3379kycOJHatWuHHU44UlLg9tshPR26dIFevaBCBcjOhldfhXffhaFDNR+yiByePOZZP+qYY2hyxhmM+/xz2m/ceOh+9esrB4lIsagHuYg++ugjnHM0bdqUOXPmJG7jOEfdujBrFuzZA+edB506eX/37PHWa4o3ETkcUeZZ//rqq9n21Vekpqby+ptv0n7hQhg48OCQr9RU776mmRSRYlIDuQiefPJJ2rVrx1NPPRV2KLFj7Vo480wYN+7gBXu7dnn3zzxTPxYiIsWXM8fx2LEH8svCXbv43Ysvck3r1gfzS926MGIEfPMNfP+993fECDWORaTY1EAupBEjRnDdddfRo0cPrrjiirDDiQ2aB1lESkuU/PIe0BlIA4ZnZubOLykp8KtfQcOG3l8NqxCRw6AGcpBzsG4d/PCD9zczE+ccw4YN49Zbb+WSSy7h1VdfpXLlymFHGhs0D7KIlAbnYNMm6NPHu5bhhht4KzWVs4FjgAzgBFB+EZFSowZyjrVrvZ6KwDg3hgzhq/R0hg8fzlVXXcULL7xAsqYLOkjzIItISVu92ltOOgk6doTzzmPvzp1cX6MGTStXJgOon1NW+UVESokayAAbN8K+fVCnDixbBh984J2mGzuWk6+8ko9mzOCpp54iKSkp7Ehji+ZBFpGStHGjNwtORC5OfvZZZu/fz9zp06l95JEHyyu/iEgpCb2BbGbdzOxrM1thZrdF2V7JzKb42z8ys0YlGsCqVXDXXXDyybBkCZx8MnufeYZ+v/41U845B1avptWMGVTIyirRh40LmgdZJG7EYi5+8tZbGXj66bgbbuD49eup/vLLELwGRPlFREpJqA1kM0sCxgDdgZOBvmZ2ckSxq4GtzrkTgIeBf5VYAKtWHTIDw+5du7j4//6P5197jdWtW0PTpt442y1bSuxh40bOPMj160ffrjlIRcqFWMzFI3bt4rr33mPVyy+z969/9XLxCy94862D8ouIlKqwe5DbACucc9855/YAk4ELIspcADzn334FOMvM7LAfecsWuP/+XFdIZ2ZlcR7eLzKNBYZs2eJdBLJrF6gHObq6db25RjUHqUh5FjO52AHPzJ7NrXg/G/3q7t0cMXLkwVxcsaLyi4iUurAbyHWB4Bxha/x1Ucs45/YB24Cah/3IO3fCpEkH7u4G/jZuHOnABOA6gIkTvemCUlO9pCzRaQ5SkfIuZnLxbcDEt9/mauB5IBly5+JGjZRfRKTUmXMuvAc36w2c45y7xr9/OdDGOTcoUGapX2aNf/9bv8yWiGP9GfgzQJ06dVpPnjw5/wfPyvLGufmcczz5wQecUrUq7Zs3P1julFPgxx+95FxOLwbZsWMHaWlpYYdRolSn8iMe61XcOnXu3Pkz59zppRDSYYmlXLxg2TI+2biRQR07kquD+pRTYMMGb2hFCXRclzW9D8qPeKxXPNYJilevQudh51xoC9AOmBO4PxQYGlFmDtDOv10R2IzfsM9rad26tSvQDz84l5rqnDfjpnPg5j70UK77LjXVuZUrnfvyS+e2bSv4mDFq7ty5YYdQ4lSn8iMe61XcOgGfuhBzbl5LucnFq1YV8RmPHXoflB/xWK94rJNzxatXYfNw2EMsPgGamFljMzsCuBR4PaLM68CV/u0/AO/6FTw8VapAv375l7n8cqhUCWrWhKpVD/shRURiVOzn4ipV8r4gWESkhIXaQHbeOLYb8HomvgJecs4tNbN7zaynX+xpoKaZrQBuxhuidvhq1oQ77sh/Bobbb/f6L449tkQeUkQkFpWLXHz00SXycCIihRH6lWfOuTeANyLWDQvc3g30LpUHb9AAMjJg+HDvIhDwLgK5/HIvIVevDsFJ6UVE4lRM5+IGDUrlYUVE8hJ6Azl0DRt6UwwNHQr/+5/3601VqkCFCmoci4iUlWi5OC3N62EWESljaiCDl4Br1oSVK70kLSIiZU+5WERiRNgX6YmIiIiIxBQ1kEVEREREAtRAFhEREREJUANZRERERCRADWQRERERkQA1kEVEREREAtRAFhEREREJMOdc2DGUODPbBPxQjF1rAZtLOJxYEI/1Up3Kj3isV3Hr1NA5lzC/maxcnIvqVH7EY73isU5QvHoVKg/HZQO5uMzsU+fc6WHHUdLisV6qU/kRj/WKxzrFknh8flWn8iMe6xWPdYLSrZeGWIiIiIiIBKiBLCIiIiISoAZybuPCDqCUxGO9VKfyIx7rFY91iiXx+PyqTuVHPNYrHusEpVgvjUEWEREREQlQD7KIiIiISEBCNpDNrJuZfW1mK8zstijbK5nZFH/7R2bWqOyjLJpC1OlmM1tmZl+Y2Ttm1jCMOIuqoHoFyv3BzJyZxfxVuoWpk5ld4r9eS83shbKOsTgK8T/YwMzmmtki///w3DDiLCwze8bMNprZkjy2m5k96tf3CzNrVdYxlmfxmIchPnNxPOZhiM9cHG95GELMxc65hFqAJOBb4DjgCOBz4OSIMtcDT/q3LwWmhB13CdSpM5Dq374u1utU2Hr55Y4E5gMfAqeHHXcJvFZNgEVAdf9+7bDjLqF6jQOu82+fDHwfdtwF1KkD0ApYksf2c4FZgAFtgY/Cjrm8LPGYh4tQr3KVi+MxDxfhtSpXuTge87AfZyi5OBF7kNsAK5xz3znn9gCTgQsiylwAPOfffgU4y8ysDGMsqgLr5Jyb65zb5d/9EKhXxjEWR2FeK4D7gH8Du8syuGIqTJ3+BIxxzm0FcM5tLOMYi6Mw9XJAVf/2UcC6MoyvyJxz84Gf8ilyATDBeT4EqpnZsWUTXbkXj3kY4jMXx2MehvjMxXGXhyG8XJyIDeS6wOrA/TX+uqhlnHP7gG1AzTKJrngKU6egq/G+bcW6AutlZi2B+s65mWUZ2GEozGvVFGhqZu+b2Ydm1q3Moiu+wtTrHqCfma0B3gAGlU1opaao7zs5KB7zMMRnLo7HPAzxmYsTMQ9DKeXiiod7gHIoWg9E5FQehSkTSwodr5n1A04HOpZqRCUj33qZWQXgYaB/WQVUAgrzWlXEO7XXCa93KcPMTnHO/VzKsR2OwtSrLzDeOTfSzNoBE/16ZZd+eKWivOWJWBKPeRjiMxfHYx6G+MzFiZiHoZRyRSL2IK8B6gfu1+PQUwwHyphZRbzTEPl174etMHXCzLoCdwA9nXNZZRTb4SioXkcCpwDpZvY93tij12P8ApHC/v9Nd87tdc6tBL7GS9KxrDD1uhp4CcA5twCoDNQqk+hKR6HedxJVPOZhiM9cHI95GOIzFydiHoZSysWJ2ED+BGhiZo3N7Ai8iz9ejyjzOnClf/sPwLvOHwkeowqsk38K7D94CTnWx1HlyLdezrltzrlazrlGzrlGeOP5ejrnPg0n3EIpzP/fa3gX8mBmtfBO831XplEWXWHqtQo4C8DMTsJLzJvKNMqS9TpwhX8FdVtgm3NufdhBlRPxmIchPnNxPOZhiM9cnIh5GEorF5f11YixsOBd8bgc72rPO/x19+K9qcH7h3kZWAF8DBwXdswlUKe3gQ3AYn95PeyYS6JeEWXTKR9XTxf0WhkwClgGfAlcGnbMJVSvk4H38a6sXgycHXbMBdTnRWA9sBevh+Jq4C/AXwKv0xi/vl+Wh/+9WFriMQ8Xsl7lLhfHYx4u5GtV7nJxvOVhP+ZQcrF+SU9EREREJCARh1iIiIiIiORJDWQRERERkQA1kEVEREREAtRAFhEREREJUANZRERERCRADWQRERERkQA1kCU0ZvawmbnA8ouZfWJmf/MnORcRkVKkPCwSneZBltCY2dtAKnAz3pe1XwEdgGuBj4Cuzrk94UUoIhLflIdFolMDWUJjZhuAF5xzN0Wsvxh4BbjeOfdEKMGJiCQA5WGR6DTEQkJhZrWB2ng/C5mLc24q3s9J9giUv8zM5pvZZjPbYWYLzKxdYHsFM9tpZjea2Sgz22hmW83sb/72y81smb/vq2aWEhFPvsf3y9Qws6f94242s6FmdoeZ/S+iXEX/9OQKM8s0s0/N7MySeN5EREqK8rBI3iqGHYAkrBb+3yV5bP8W71RfjmbAc8BKoBLwJ+A1M6vvn/47Du804U14v9v+R6A/8G8zq+81UgAAIABJREFUawg0Bv7m/30UGACMLezxzawS8BaQBgwCfgbuB6oCH+ccxMwqArPxfu/+H8B3wDXAG2bWxDm3ofBPkYhIqVIeFsmDGsgSlhaAA5bmsf0IYEfOHefc7Tm3/eT3HfA/4HjgKw4m+lHOuUf9ct8AlwEn4Y2jc/76PwO/Dj5YIY5/G9AEOME5t9Evtw2YDzwVONQtwG+A1s655X65dGAV8AdgTEFPjIhIGVEeFsmDhlhIWJoDK51zO/PY3hiv9wIzSzGzW83sSzPbCezFS5oAuwLH+xkIjpWr4v990OUebF8F+CnnTkHHN7MKwA3AwzlJ2bfS//u5f5wKeIl5AvCdf4qvIt4H0AqgQf5PSfGZ2SVm9kxpHV9E4pLycAlSHo4v6kGWsDQnj9N6ZtYcOAZ418wMeAOv12AU3li5rcBVwJXA6sDx3nPO7Q0cqgWwD693IefYqUCjnMcu5PFbALWAGRGh1vX/fhGI4Wjgen+JNDtafaMxsyTn3P7ClgdaAQuLUF5ERHk4H8rDiU0NZClz/jf8k8k7UQ0FNuNdQd0B6AS0dc59FDjGCOBL51y2v6oFMCXiOKcC/3POZQXWNcc7c5KTTAs8vpkd668O9lrk7LvVOZfz4ZBTriuwLUq9fvCPPQbvg+dX/vKcc26Ymf0H2AOcCGwHLjazY/A+MI7DG2d3l3NuqpnVA/4PqAcs8Le/HuUxRUQOoTysPCz5UwNZwtAESCFKz4WZ3QL0BS53zmX6CQhgeaBMN7xkOs6/n4I3Ru3ziMO1yGPdTvzThniJLd/j431IAJyAN4YNMzsKGBxx/PX+35+dc58dUuuDWuGd6jsTOAr41sweB07DGwvYzTm338ySgEnA35xzi/wrzhea2avAC8ADzrnZZtYP72KXyLqKiORFeVh5WPKhBrKEobn/9wgzawtUBpoC/YDf4iWiSX6ZhUA2MNrMngPOwDvl5jiYiJrh9UZES8KPRlm3NNDjUZjjf453iu9RMxuK9765HW8M3eLAsZf6918ws/uB7/FO9bUBljnnnvN7bU4CzvdP3f1kZj8C1fEuWOkWOKV3Ll7vy7PeGUjAG+t3LrDdOZfT8/MlsDyfcYQiIpGUh5WHJR+6SE/CkJOYnwM+AF7Dm7Lnc6CZc+6hnILOua+AgcDvgVeBlnhT/xgHE2dzvISV0xuBmVXH65XIOYWXo0VwXWGO709f1BvvopGXgDuAfwL7gYzAsfYB5wOfAg8Cc4AReGPkFvjFTgQ2Oec2+3HWAGriXS2+3Dm3NSLWfzvnTgssTf0Yg+Pc2qBxbyJSNMrDysOSD/2SnkgxmNlfgTuBBs653UXY7zK8eT8b4V3t/RTemLgVQCfn3LWBsgPwenO6+3OAHovXy3IRXg/HhWb2K7wPt0edc6NKpHIiIuWA8rCUJg2xECmAmXXCO+X4KZCMd2rtT0C/oiRlXyvgP8BMoAZer80DeJPdL4ooOwlvDN4yM9sBbMGbeP954FIzWwqsw7sQRT0XIhK3lIelrKkHWaQAZnYu8BDenKDZeAn6fufcm8U41rt4Y/vyu3hEREQClIelrKmBLFKGzGwDkPOzrCIiUsaUh6Uw1EAWEREREQnQLBYiIiIiIgFqIIuIiIiIBKiBLCIiIiISoAayiIiIiEiAGsgiIiIiIgFqIIuIiIiIBKiBLCIiIiISoAayiIiIiEiAGsgiIiIiIgFqIIuIiIiIBKiBLCIiIiISoAayiIiIiEiAGsgiIiIiIgFqICcQM+tvZi5nCTseSQxm9n3g/+6ewzxWp+D/sJk1KpEgRURiSESe63+Yx9JnfzGogRyyKB/4wWW7mS00s3+Y2VFhxyoiIkVnZg3M7AEz+9DMNptZlpmtNrP3zexOMzv+MI9f4BfHyEZSYNljZhvNLMPM/mZmVQ4nlrKiL8tS2iqGHYDk60igpb/0N7MOzrkfQo5JREQKycyGAA8AyRGb6vnLb4E/AKeVcWg5koGj/eVM4A9mdqZzbm9I8YjEBDWQY88U4FOgMtAF6OyvbwA8BvQMKS7xmVkFoLJzblfYsYhI7DKzu4F7Aqv2ANOAJXgN0+ZAt7KPDIAngW+BFOCPwIn++jbA+cCrIcUlEhM0xCL2zHbOPeSc+6dzrgswP7Ctm5lVzrljnn5m9paZbTKzvf7fN82sr5lZQQ9mZilm9lPgNNWlUcosD2y/xV8XebouxczuNbOV/unDFWb21zwe80gzG2pmH5vZtsDpxhfNrG2U8uMDj5NuZieb2RtmtsPMNpjZKDOr5D8ffzWzb8xst5ktjVafwohSvyPNbLSZrQH2AmcHytYzs5FmtszMdprZLjP7wsyGmdmReRz/MjP73I/zB38YzRERj9m/kLGmB/YZb2a/M7P5fhyrzOwOM6tgZsn+46z2H/cTM+uaxzEbm9ljZvY//zi7/NujzaxBHvt0N7OPzCzTzNb7+1ctRPxnmNkk/3nI8v8n5pvZlYX5HxaJRWbWHBgWWLUOaOmcu9TP73c753rh9SKPC+xX28weMrN5/vt3h/++WGNmr5pZl4jH+R6YG/HwKwM54Z48Qpzif9bcB1wWsa1plPoUJyfUNrPhfj78xc8735rZ02Z2cpTydfzjfe3nkd1+veeZ2b/MrOFh1jn4WLmujTCznmb2qf+4y83sz365NL/eG/w6p5tZqzyO2dzMnjGz7/zYf/Hz/P1mViuPfS73n5+cz4L7zKxSIeL/vf//sM68YTI/mdkcMzu/oH2lkJxzWkJcgE6ACyz9I7b/O2L7r/z1ycCMiG2Ry1QgKXCs/sHtgfWjAuvfjHj85oFt+4Bjoh0L+CCPGP4Scbz6wDf5xLwfuDlin/GB7d8BW6PsNxkYnccxuxfjdSmofhf65TrkEU/OsgyoE3HswXmUjXw9+xcy1vTAPkuArCjH/hfwWpT1e4AWEcc7G/glnzr9DHSM2OcSIDtK2c+AHwP374nyXOzP57FeBirk835pFPZ7WIuWaAteozf4v3p+Ifc7PZ/3Q87y50D57wsoe49fLjKndfLXpwB3RWwbEBFTcXLCaRHv/chlN9AnUL4ysLyAulxYlDoX8DwHj7Eoj/x1I/BRlPVb8T8LA8e7Ai+f5hXTWuDkiH2G5FH2vxH3+0fsN7KA+o+KKJ/rtQ/7vVFeltADSPSFghvI8wPb9uKd2ge4L2K/N4F/AO9ErL89cKyobxKgSSA57AfqB7bdE3zT5nUsf5mE1xALJtLl+dRnP/As8E/gf4H12cDvAvuMj5JoHgDejxLDW8D9wLbgc1OM1yVa/eb6z8c4vKEv1YDNge3L/NdluB9jzvo3AsdtSO4G7Eb/OXuaQxuK/QsZa3rEfv/z41gSpQ6vAA+RO5GPCxyrJt6HXc62LXjJeFTE+k1AVX+fNOCnwLbtfvlHgJ0Rj39P4LE6kPtD6U28D+ongczA+lvzeb80Cvs9rEVLtIXcHQFbACvkfi2BL4D/8/PcbX5OCzbUtgKpfvk/AU9EvC/ux2t8DQF+65eLltOiLStz3tv+fsXJCcl4wzdytmUCY4AHgTWB9buBxv4+50Y8xkPAHcBYYB7e59+FRalzAc/z9xH7fwLcC6yKWJ+Nl5+fjFgf/Gw9kdw5dZVf17F+HYOfEUn+Po0i9vnR32ccXmdU1M8CoF9EbK8AdwITIva7JLBPrtc+7PdGeVlCDyDRFw79wJ/sv8Hv4NDG7gx/nyRy91pODxzPgDmBbRvwE3N+bxK8xknOtrsC64ONrDzfcMD9gW2DIrblJM1WEetvDuxzFF6Czdn2UmDb+Ij9WvrrT4hY/xl+byNessxZ/1MxXpfI+k0k4gMOr3chZ/v3+B9Y/rYTI/Y/0V9/e8T6VoF9hkZs61/IWNMD++zmYC9/14jjvRbY5/nA+oWB9TdH7NM6sO23Eduu99dfFrG+R2CfP0RsuyewbVq019vf9pfAtvX5vF8ahf0e1qIl2gLsCvyffliM/U8ALsXLp7fgfSYE//c7BsoW+L6IktOiLT8H3/P+fsXJCb0i1vcK7NOI3A3Df/vrLwqseyJK/EcBNYpS5wKe3+8D+64DUvz110Qc95HAPsFOmVcD6x8NrM8E6ga2/THieOf664OvZzbQPLBPZM9y/8C2RZHPXWDbg9H+5yJf+7DfG+Vl0Rjk2NMHGIHXqxoca7YOr0EG8Gu83ssck3JuOO/d8HxgW228hFSQsYHb/c3za6CZv+5n4PV89n86cPubiG05sUaOL56Yc8M5tw1viEGO3+TxON855xb5t1dFbHvNOZft314Z5fEPx0P+cxv0u8DthsDOnDFtwFcRZdv5f1sH1i1zzi0M3J/E4XvfOfejfzvy+ZkauJ3X8xN8jZY55z7LueOc+yBiv5zXKDge7xfgjcD9V/E+DKMJPn+9A+MBHV7vUI5jzKxxHscQKQ8ic0ee/HG7b+Pl0RfxGl8P4X0mBP3qMGN6Evgb3jjpD/x1RwHvmlnLQLni5ITgPjvxvgzn7PM98F6UfT7FO7sGcK1/jcRzZna7mZ0F7HTO/VSE+hXFLOdcpn/7cPPmu865tYH7U/B6v3NEy5vLnHNfBu5PjhakeVPwnRpY9beIvPn3wLbTzUwTMRwGNZBj2068U23D8caJfuevrx5RbmPE/Q0R9yPLRzMDWO3fPg7oCFwc2D7FObc7n/1XB25nRWzL+T8LxpGNNzwhKBh3XjGvz7nhnItseK0P3N4XuF0SF3pFNvqhcM9rjpwLNILzWUe+TpGvY3EEn4PCPj/BPBCsU7R4or1GwTptDn6R8L+w5PWhVpznT6S8CDaSmhThgtNngLMKUa7AC7kKELxIrwPwtb++Kt5nTo7i5ITgPpuidC4cso9zbjVwNV6+MLyx2FfgnQ18G/jOv/CxNJRa3nTO7ccbMhJZNpg3I5/XTXnEWY3Cf54lUbQcKxH07SL2DHDOjS+gzNaI+7Uj7tcpoPwhnHP7zWwc3thVgKuAUwJFnitg/+A35Lx6S4JxVMBr9AQTQZ08ygbty2N9QdsOi4s+pVswxq/xxgzmJWc2km2BdZGNvsjXsTgO9/kJ1ilaPNFeo1x1MjPL+UA0b0q8Gvk81tH+7Tc49Kr0oDX5bBOJRXPxhkmAN463BzAzvx38HsLugVXP4/Xy/oh3EVupTC3p5//P8c5OQu4e0eLkhOA+RwdzQj774Jx73sxewetlbY43m0Z3vOtk6uONY+5QcI2KrNTyppkl4b3+kWWDeTPyeT2a6H6OuP88sDifuHbms00KoAZy+fQ13pss59thP7yr/fF7KYJT9mzAG2tVGE/hnW5LxpuVIKeH4hvn3ILDCxmADyPuX453oQfmTQd2fj5lY9ECoLd/+1i8cbS5Ts+ZWRremNyP/VWf4o3PAzjFzE50zv3Pv9+vtAMuhA85WKeTzax1zilVM/st0DiiLEBwmMiReBfb/Ne/3ws4Io/HWsDBeb1rAY9GnhUws3p4V36vj9xZJMaNwRvPmtPj96SZdQ283wEwsxp4szk8AaSSu2dyas7/vpn1Im+RP+qRUpRA/UZc8NR9UuB2cXJCMH9XwRtf/Kq/TyO8HyTJtY+ZVQfS/J7k+f6CmY3nYI4JDv04rDqXsA+BM/zbXcysbmCYRR9y/0hMMG/mvKYnm9kpzrkl/v2o05M653aa2RdAC39VFefcQ5Hl/OGRR+fRsSOFpAZyOeR/2x+Dd+UqQE8zexNvHFl7co9dHh3l9FZex91gZq/ivaGDp+/y7T0uLOfcQjPL8GME+Ld/ymwNXgLO6VF1eOPuYt14vFkXquOdllxoZlPw6nMU3gdOJ7wvKVP8fZ7HmwnjCLwPznfMbAJej8GAsgs9T8/hfUnKOf33ppk9i/ehHYxvMwfHuk8n9xe2F83s//x9/pTPYz3CwQZyG+ALM5uO10tyDF4vUhu8q7PfPIw6iZQ559znZvZPvBwBUBdYbGbBHwppgfdDIcvxLkzbZGZbONjj+LCZnYo33rh/Pg+3NuL+4/5nwn7g+Ty+YPYxs9PxeqbP4WDvMeRu4BYnJ8zAm5LzOP/+JDN7BtiB1xGQ02DMwhsLjf/4H5jZh8CXeNfdVOBgIxJy96AWp86lZSzehcXJeM/nAjN7Hu85uypQ7isO5rIXgLv9fQx4y8yewzvjFtwn0sN4sz8BXGhmn/jH3MnBX2Y8FW9Wq/eiHkEKJ+yrBBN9oYBp3vLZr8TmQY44boeIY2QDDaKUy/NYUerUKLCtAfnPg5wN3BJxvPGB7ekR2/K60rfAuhbw/BZqf7zp3n6OUo/g8n3EPnnNgzw74v4VhYw1PbDP+MD6RhHH6xTYdk8+8RU05+k2Dp3z9FKizyO6jNyzk9wTsd8Q8p8HObJOef5vadESiwve7DR7C/gfXxwon1d+mJRXvvP3W5THfm397f0LiCH4/m4Zcezi5ITT8DoH8tonC7g0UL5tIWIbXJQ6F/C6fB8tL+WXY8j/s+hK8p8HeR3QLGKfv+dRdl4Br3Vec/4Hl2Cdcr32Yb8nysuii/TKKeeN+e2JdxHDO3gXNuzDuxjgbbxhFn9w3gUCRTnufLzejRxzXcSwgcPhH6s13hQ3n+L1KOzF6w2Ygjf/8ciSerzS5pybizdWeySwFG+MYCbeHKBv402R1DFin0fwhpd8iZdQ1+DNhXxtxOEjx5uVCefcm3g9W4/jfZnZ7S/L8X7uvIVzbl7EPpPxhsh8gvfBtxFvPs/25DMOznmnB9vhffh/7++7Da9hPRXv/3twiVVOpIw554bjjaH9F977YysHc94HeL2zfwjsMhrvi+NKv9z3eF9o+xfwUBfjzTRU1Lzh8N6jS/He36e6gzMF5dShODlhsb/Pg3ifKbvw8t33eBcitvLzRo6v8cZbTwdW4DXI9+HlkjnAxX7uLIk6lzjn3HN4FxaOx6vjHrw6f4k3n3UL59zSiH3+hdcLv4SDnwUjyD0OPdpj3Yj3pWUqXsN7L14b4Eu8XHox3o+MyWHImR9X5AAze4mDY86udM5NCDOeeGNmKe7glELB9X8h9/Rm9Vzu6YJERESkDGgMsgAHLpw4Du+02EX+6i34F/9JifqrmV2A9+3/W7zx3r8ldw/ya2oci4iIhEMNZMnRH++CgaA7o/V0ymEzvGEF7fLYvpj8L24TERGRUqQGskTaizf+6xHn3LiwgylJZnYDcENB5ZxzJ5ZyKG/j/UJhO7z5L1PwxiV+AbwCPOMO/REUERERKSMagywJw8zu4dBe8kM450ril/dERESknFIDWUREREQkQNO8iYiIiIgEqIEsIiIiIhIQlxfp1apVyzVq1KjI++3cuZMqVaqUfEAhisc6QXzWKx7rBPFZr+LW6bPPPtvsnDu6FEKKScXJxfH4/wLxWa94rBPEZ73isU5QvHoVNg/HZQO5UaNGfPrpp0XeLz09nU6dOpV8QCGKxzpBfNYrHusE8Vmv4tbJzH4o+WhiV3FycTz+v0B81ise6wTxWa94rBMUr16FzcMaYiEiIiIiEqAGsoiIiIhIgBrIIiIiIiIBaiCLiIiIiASogSwiIiIiEqAGsoiIiIhIgBrIIiIiIiIBoTaQzewZM9toZkvy2G5m9qiZrTCzL8ysVVnHKCIS75SLRURyC7sHeTzQLZ/t3YEm/vJn4IkyiElEJNGMR7lYROSAUBvIzrn5wE/5FLkAmOA8HwLVzOzYsolORCQxKBeLiOQWdg9yQeoCqwP31/jrRERCsWzZsrBDCINysYjEjKysLFasWFGqj1GxVI9++CzKOhe1oNmf8U79UadOHdLT04v8YDt27CjWfrEsHusE8VmveKwTxFe9Zs+ezYgRIxg8eHDYoZS1MsvF8fT/EhSP9YrHOkF81iue6rR7926GDRvGihUrePLJJ0utXrHeQF4D1A/crwesi1bQOTcOGAdw+umnu06dOhX5wdLT0ynOfrEsHusE8VmveKwTxFe9Fi5cyFlnnUXXrl3jpk6FVGa5OJ7+X4LisV7xWCeIz3rFU51efvllPvvsM5566ilq165davWK9SEWrwNX+FdQtwW2OefWhx2UiCSW1au90QU333wzs2bNIiUlJeSIypxysYiEyjnvpFXv3r1ZsmQJV111Vak+XtjTvL0ILAB+bWZrzOxqM/uLmf3FL/IG8B2wAngKuD6kUEUkATnnGDp0KM2aNeObb74BICkpKeSoSp5ysYjEsnXr1tG2bVs+/PBDAE466aRSf8xQh1g45/oWsN0BA8soHBGRA7Kzs/nrX//KmDFjuPbaazn++OPDDqnUKBeLSKz67rvv6Nq1K5s2bSIrK6vMHjfWxyCLiJS5ffv2cfXVVzNhwgSGDBnCv//9b8yiXacmIiKlZdmyZfz+978nMzOTd955hzZt2pTZY6uBLCISYezYsUyYMIH77ruPO+64Q41jEZEy9u2339KxY0eSkpKYN28ezZs3L9PHVwNZRCTCddddR8OGDbngggvCDkVEJCE1bNiQPn36cOONN9KkSZMyf/xYn8VCRKRMbN++nauuuoqNGzeSnJysxrGISAjmzp3L+vXrqVixIo8//ngojWNQA1lEhC1btnDWWWcxceJEPvnkk7DDERFJSNOmTaNbt27ccsstYYeiBrKIJLb169fTsWNHvvzyS6ZNm0aPHj3CDklEJOFMnDiR3r1707p1a8aMGRN2OGogi0ji+uGHH2jfvj3ff/89s2bN4rzzzgs7JBGRhDN27FiuuOIKOnXqxJtvvkn16tXDDkkNZBFJXCkpKRx99NG8/fbbdO7cOexwREQSTlZWFmPHjqVnz57MnDmTtLS0sEMCNIuFiCSgb775hkaNGlG7dm0++OADTeMmIlLGnHPs27ePSpUqMXfuXKpVq0ZycnLYYR2gHmQRSSgffvghbdq0YciQIQBqHIuIlLGcXyrt27cv+/fv5+ijj46pxjGogSwiCeTdd9+la9eu1KxZk5tuuinscEREEs6+ffsYMGAAjz/+OI0aNaJChdhsisZmVCIiJWzmzJmce+65NGrUiIyMDBo1ahR2SCIiCSUrK4s+ffowYcIE7r33XkaMGBGzZ/E0BllE4t4vv/xC//79ad68ObNnz6ZmzZphhyQiknCuvPJKXn31VR5++GEGDx4cdjj5UgNZROLekUceyezZs2natClVq1YNOxwRkYR04403cs455zBgwICwQymQhliISNx65JFHGDlyJACnn366GsciImVs8+bNPPvsswC0a9euXDSOQQ1kEYlDzjnuu+8+brrpJhYsWEB2dnbYIYmIJJx169bRoUMHrr/+elatWhV2OEWiBrKIxBXnHLfeeivDhg3jiiuuYPLkyTF7lbSISLxauXIl7du3Z/Xq1cyaNYsGDRqEHVKRaAyyiMSVgQMH8sQTTzBw4EAeffRRNY5FRMrYV199RdeuXcnMzOSdd96hTZs2YYdUZPrkEJG4csopp3Dbbbfx2GOPqXEsIhKCjz/+mOzsbObNm1cuG8egHmQRiQNZWVksWbKE1q1bc/3114cdjohIQvrll19IS0vjyiuv5KKLLirXF0are0VEyrWdO3dy/vnn06lTJzZu3Bh2OCIiCemtt96icePGfPDBBwDlunEMaiCLSDn2888/c8455/DOO+/w2GOPUbt27bBDEhFJONOmTeO8886jXr16nHDCCWGHUyLUQBaRcmnTpk106dKFjz/+mClTptC/f/+wQxIRSTiTJk2id+/etGrVirlz51KnTp2wQyoRGoMsIuXSY489xldffcX06dPp3r172OGIiCSc9PR0Lr/8crp06cL06dNJS0sLO6QSox5kESlXnHMADBs2jI8++kiNYxGRkLRv355Ro0bx3//+N64ax6AGsoiUI1999RUdOnRg7dq1VKxYkRYtWoQdkohIQnHOMWLECFavXk1SUhI33XQTlStXDjusEqcGsoiUC4sWLaJDhw588803/Pzzz2GHIyKScLKzsxk0aBC33norzzzzTNjhlCo1kEUk5r3//vt07tyZ1NRUMjIyaNasWdghiYgklH379jFgwADGjBnDLbfcwrBhw8IOqVSpgSwiMe3999/n7LPPpnbt2mRkZNCkSZOwQxIRSShZWVn06dOHCRMmcO+99zJixAjMLOywSpUayCIS00466SQuuOACMjIyaNCgQdjhiIgknN27d7Ny5Uoefvhh7rrrrrhvHIOmeRORGPX2229z5plnUqNGDV544YWwwxERSTjbt28nOTmZo446ig8//JAjjjgi7JDKjHqQRSTmjBs3jrPPPpt//etfYYciIpKQNm/eTJcuXfjjH/+Icy6hGsegBrKIxJiRI0dy7bXX0r17d2699dawwxERSTjr1q2jY8eOLFmyhGuuuSYhhlREUgNZRGKCc467776bIUOG0Lt3b6ZNm0ZKSkrYYYmIJJSVK1fSvn17Vq1axaxZs+jRo0fYIYVCDWQRiQnr16/nscce46qrruLFF19MuNN5IiJhc87Rq1cvtm7dyttvv03nzp3DDik0ukhPREKVnZ2NmfGrX/2Kzz77jIYNG1Khgr67i4iUNTPj6aef1i+Voh5kEQnR3r17ueyyy7j//vsBaNy4sRrHIiJl7P3332f48OEAtGrVKuEbx6AGctzYunUrZkZaWhqpqak0bNiQp59++pDtDRs2zLXfmjVrSE1NpUaNGgfWPf/887Ru3Zpq1apRo0YNOnXqxNq1aw95nOAyevTow4r/p59+4qKLLqJKlSo0bNiwwGm9tm/fXqTyEnt2797NxRdfzOTJk0lOTg47HJESkWi5OL/yBR0rMvakpCQGDRp0YPvkyZM56aSTqFKlCscffzwZGRmHVTeJ7q233uLss8/m2Wef5Zdffgk7nJihIRZxYvHixdSqVYtNmzYB8MILL3DFFVcwderUA9vr1q3L1q1b2b59O1WrVgXg9ttvp169etStWxeA8ePH889//pMpU6bQqlUrtmzZwmuvvUb16tVHN8wCAAAgAElEQVQPHKdGjRps2bKlROMfOHAgRxxxBBs2bGDx4sX06NGDU089Nc+fFB49ejS1atUqdHmJLTt27OCCCy5g7ty5jB07luuuuy7skERKRKLl4vzKF3SsHTt2HDjOzp07qVOnDr179wa8Rtvf//53pkyZQps2bVi/fn2J1lM806ZN49JLL+XEE0/kzTff5Mgjjww7pJihHuQ4sXjxYlq1anXgfseOHdm/f/+Bb4OLFy+mZcuWNGvWjGXLlgGwcOFCPvjgA373u9/RsmVLAJ5++mmuvfZaWrdujZlRq1YtrrnmGlJTUw8c5+STTy7R2Hfu3MnUqVO57777SEtL48wzz6Rnz55MnDgxz/Lz588vdHmJLfv376dbt27MmzePCRMmqHEscSWRcnFmZmae5Yt6rFdeeYXatWvTvn17AO6++26GDRtG27ZtqVChAnXr1j3w5UFKxqRJk+jduzctW7YkPT2dOnXqhB1STFEDOU4sWrSI1q1bA/Dzzz8zdOhQWrdufSChLFq0iNNOO40WLVqwZMkSAIYMGcLw4cNZtmwZp512GgApKSk888wzvPTSS2zevDnq4xQmKZ933nlUq1Yt6nLeeeflKrt8+XKSkpJo2rTpgXWnnnoqS5cujXrs5cuXU6FChUKXl9iSlJTENddcw8svv0y/fv3CDkekRCVSLl6zZk2e5Yt6rOeee44rrrgCM2P//v18+umnbNq0iRNOOIF69epxww03kJmZWWB9pWg6derEW2+9deDMhBykBnKcWLx4MaNHj6Zq1apUr16djRs3Mnv27AOTey9evPhAUl66dCmvv/46u3fvplevXnz55ZcHei0mTJjAOeecw5AhQ6hTpw7nn38+GzduzPU4EydOzJVkb7755kPimTlzJj///HPUZebMmbnK7tixg6OOOirXuqOOOirPsVA7duygSpUqhS4vsWHNmjW8/fbbAPTv35+LLroo5IhESl4i5eLMzMw8yxflWKtWrWLevHlceeWVAGzYsIG9e/fyyiuvkJGRweLFi1m0aBH//Oc/o8YhRbNixQoA+vXrp2EV+Qi9gWxm3czsazNbYWa3RdnewMzmmtkiM/vCzM4NI85YlpWVxVdffcUXX3zB9u3beeWVV/jwww8PXPiUsz0nKS9evJjbbruNUaNG8fXXX5Odnc1JJ50EwDHHHMMjjzzCqlWr+Pjjj/niiy8O/NxvznHmz5+fK8mOGjXqsOJPS0tj+/btudZt3749zzdtWloau3btKnR5Cd+3337LmWeeyWWXXcbOnTvDDkeiUC4+fImWi1NSUvIsX5RjTZgwgTPPPJPGjRsfOC7AoEGDOPbYY6lVqxY333wzb7zxRrHrJt4cx3feeSfNmjVj8eLFAJo1KB+hPjNmlgSMAboDJwN9zSzynNGdwEvOuZbApcDYso0y9i1ZsoRKlSpx3HHHAXDxxRfToEGDAxeFLFmyhJSUFI477jiaN29Oeno6LVq0oG3btixatIhTTjmFihUPvV6zdevWNG/e/ECDZsmSJZgZzZs3LzCm7t27H3KFcs7SvXv3XGWbNm3Kvn37+Oabbw6s+/zzz/O8KKRp06bs37+/0OUlXDm/yrRjxw7eeOONQ3r/JXzKxSUj0XJxvXr18ixflGNNmDDhQO8xQPXq1alXr15C/rxxacnOzubGG2/k/vvv58orryzU/06iC/urQxtghXPuO+fcHmAycEFEGQdU9W8fBawrw/jKhZzEGkwm5557Lq+//vqB7aeeeipmRrVq1Zg7dy6PP/44cPB0H8CDDz7I+++/T1ZWFllZWYwfP5709HQGDBhw4DjNmjWjUqVKBcY0a9YsduzYEXWZNWtWrrJVqlShV69eDBs2jJ07d/L+++8zffp0Lr/88qjHrlKlCu3bty90eQnPZ599xuDBg3HOMW/evANjMyXmKBeXgETLxSkpKXmWL+yxPvjgA9auXXtg9oocAwYM4LHHHmPjxo1s3bqVRx555JAx01I4+/btY8SIETz22GPccsst/Oc//yEpKSnssGJe2A3kusDqwP01/rqge4B+ZrYGeAMYhOSyePHiQyb17tatG2+99RZ79uzJlXjBG5Rfq1Yt4OAFI+Cd/howYAA1a9akQYMGTJkyhXfeeYff/OY3Bx7nyy+/zNUDceSRR7Jt27bDrsPYsWPJzMykdu3a9O3blyeeeCJXT0P37t154IEHDtwfPHhwvuUlNrz44oukpKSQkZGh1ye2KReXgETMxfmVL+hY4F2c16tXr0OGXtx1112cccYZNG3alJNOOomWLVtyxx13HHb9EtHzzz/P7NmzuffeexkxYoR65gvJnHPhPbhZb+Ac59w1/v3LgTbOuUGBMjfjxTnSzNoBTwOnOOeyI471Z+DPAHXq1Gk9efLkIsezY8cO0tLSil2fWBSPdYL4rFc81Wnv3r0kJyeTnZ3N+vXr4256puK+Vp07d/7MOXd6KYR0WGIpF8fT+yAoHusVj3WC+KtXdnY27733Hh06dAg7lBJXnNeq0HnYORfaArQD5gTuDwWGRpRZCtQP3P8OqJ3fcVu3bu2KY+7cucXaL5bFY52ci896xUudpk6d6o4//nj3/fffO+fip15Bxa0T8KkLMefmtcRSLo7H/xfn4rNe8Vgn5+KjXtu2bXN9+vRx3377rXMuPuoUTXHqVdg8HPYQi0+AJmbW2MyOwLvw4/WIMquAswDM7CSgMrCpTKMUkUKZOHEil1xyCbVr1z7wC2FSLigXi8SJzZs3c9ZZZzF16lS++OKLsMMpt0JtIDvn9gE3AHOAr/CukF5qZveaWU+/2C3An8zsc+BFoL//DUBEYsgTTzzBFVdcQceOHXnzzTc18Xw5olwsEh/WrVtHx44d+fLLL3nttde48MILww6p3Dp0Ppky5px7A++Cj+C6YYHby4DflXVcIlJ4L7zwAtdffz3nn38+L730EpUrVw47JCki5WKR8m3VqlV07tyZjRs3MmvWLDp37hx2SOVa2EMsRCQO9OjRg7vuuoupU6eqcSzy/+zdeZyNdf/H8dfHmsmSkKyRUIq0RwkZsnQXKdLyo4gWSYX7VncpLXe2NndEiiglLXeI7oxdKG4qbfasKco2ZjTb9/fHdaZO02DOzJm5zpzzfj4e52HOOd+55v014zMf1/K9RHxQvnx56tevT0JCgprjMFCDLCK5kpGRwejRo0lKSqJcuXIMHTr09zuGiYhIwfjmm29ITEykTJkyzJ49+/flACVv1CCLSMjS09Pp1asX/fr1Y+rUqX7HERGJScuWLeOyyy6jb9++fkeJOmqQRSQkKSkpdOvWjYkTJzJkyBB69uzpdyQRkZiTkJBA69atOeWUUxg6dKjfcaKO7xfpiUjhkZycTOfOnZkzZw4jR47kwQcf9DuSiEjM+fDDD+nSpQv169dn7ty5VK5c2e9IUUcNsojk2K5du1i9ejXjxo2jd+/efscREYk5ycnJ9O3bl/POO4/Zs2dz8skn+x0pKqlBFpHjSkxM5MQTT6ROnTqsX79eNwEREfFJqVKlSEhIoGrVqpQpU8bvOFFL5yCLyDHt3r2bJk2a8Oij3pK4ao5FRAre8OHDGThwIM456tevr+Y4n6lBFpGj2rZtG1dccQWbN2+mefPmfscREYk5zjn++c9/8ve//53t27eTkZHhd6SYoFMsRCRbGzZsoFWrVhw8eJC5c+fStGlTvyOJiMSUjIwM+vfvz+jRo+nVqxcvv/wyRYsW9TtWTFCDLCJ/kZyczJVXXsmRI0dYsGAB5513nt+RRERizl133cX48eN54IEHGDlyJGbmd6SYoQZZRP6iVKlSPP/885x99tmceeaZfscREYlJrVu3plq1ajzyyCNqjguYGmQR+d2iRYv45ZdfuO666+jcubPfcUREYk5SUhIrVqzgyiuv5Prrr/c7TszSRXoiAsDs2bNp27YtTzzxBOnp6X7HERGJOQcPHqRt27a0a9eOnTt3+h0npqlBFhGmT59Ox44dadCgAXPnztVFICIiBeyXX36hVatWLF++nMmTJ1OtWjW/I8U0NcgiMW7ixInceOONXHzxxcyfP5+KFSv6HUlEJKb8+OOPNG/enLVr1/LBBx/QtWtXvyPFPJ2DLBLjvv32W1q1asUHH3zAiSee6HccEZGYM3XqVH744QfmzJlDy5Yt/Y4jqEEWiVl79uyhUqVKDB8+nNTUVEqUKOF3JBGRmJKRkUGRIkV44IEH6NSpE6effrrfkSRAp1iIxBjnHIMHD6Zhw4bs3LkTM1NzLCJSwNasWcO5557LunXrMDM1xxFGDbJIDMnIyODee+/lmWeeoVOnTlSpUsXvSCIiMWfZsmW0bNmSAwcOaH3jCKUGWSRGpKWl0aNHD1566SUGDBjAmDFjKFJEJUBEpCAlJCTQunVrKlWqxNKlS6lXr57fkSQb+u0oEiOGDRvGlClTeOKJJxg+fLj2WoiIFLClS5fSoUMH6tSpw9KlS6lZs6bfkeQodJGeSIy47777qFOnDjfeeKPfUUREYtL5559Pnz59eOyxxzj55JP9jiPHoD3IIlHs4MGD9OvXj0OHDlG6dGk1xyIiPpg+fToHDhwgLi6OF198Uc1xIaAGWSRKZd6VaezYsXz22Wd+xxERiUkjRoygS5cujBgxwu8oEgI1yCJRKPiuTP/5z3+Ij4/3O5KISExxzvHII48waNAgunbtypAhQ/yOJCHQOcgiUeaHH34gPj6en376SXdlEhHxQUZGBvfffz8vvvgivXr14uWXX6Zo0aJ+x5IQaA+ySJRJT0/nhBNOICEhQc2xiIgP9u7dy/vvv8/999/P+PHj1RwXQtqDLBIltm7dSo0aNahTpw5fffWV1jgWESlgKSkpFCtWjFNOOYXVq1dTsWJFLalZSOk3qEgUWLFiBY0bN+bJJ58EUHMsIlLAkpKS6NixI/369QOgUqVKao4LsTz/FjWz68xsu5l9F3h+iplVyns0EcmJ+fPnEx8fT4UKFejevbvfccQnqsUi/jl48CDt2rXj448/5txzz/U7joRBOHYzDQXOB44EbXNqGLYrIscxc+ZM2rdvT+3atVmyZAmnnXaa35HEP6rFIj7IXFJz2bJlTJ06lTvuuMPvSBIG4TgH+aBzbk/mYQTn3G4zqxCG7YrIMezdu5du3brRsGFDPv74YypU0D+7GKdaLFLAMjIyaNu2LWvXruWDDz7g6quv9juShEk4GuQtZnYu4ADMrDhQOgzbFZFjqFixIjNnzuSCCy6gbNmyfscR/6kWixSwIkWK8NhjjxEXF6dVg6JMOBrkB4A3gGpm9iDQFlgWhu2KSDZeeOEFKlasyM0336yCLMFUi0UKyLp161izZg033ngjHTp08DuO5IM8n4PsnPsJuAroCZQE3gR65XW7IvJnzjmeeOIJ+vfvz8yZM3HO+R1JIohqsUjB+OKLL2jWrBkPPvgghw8f9juO5JM870E2s0rOuT3ArMBDRMLMOcegQYMYOXIk3bt3Z8KECVo+SP5EtVgk/y1fvpx27dpRtmxZEhISOPHEE/2OJPkkHKdYLDezUsBXwBfAl8CXzrnvwrBtkZjnnOOuu+5i3Lhx9O3blxdeeEHrHEt2VItF8tG8efO49tprqVKlCvPmzaNmzZp+R5J8lOcG2Tl3hpmVBhoDlwBPAUlAw7xuW0TAzKhUqRKDBw/mqaee0p5jyZZqsUj++uyzzzj99NP55JNPOPXUU/2OI/ksLLeads4lAkuBpWY2ERgcju2KxLIjR46wdetW6tevz9ChQ9UYy3GpFouE3/79+znppJMYPHgw9913n06riBHhuJNeEzP7/afFOfcrUCev2xWJZYcPH+Zvf/sbzZo148CBA2qO5bhUi0XCb/z48dStW5d169ZhZmqOY0g4TmQcAmwws/VmNs3MxgI5PjHHzNqa2Toz22hm/zjKmC5m9q2ZfWNmujOURLX9+/fTpk0b5s+fz4gRIyhXrpzfkaRwyHUtVh0W+asRI0bQp08fLrnkEp1vHIPydIqFmRUBEp1zVc2sCt65b5WAx3L4+UWBl4DWwA5gpZnNcM59GzSmLt5hwsucc/vM7JS8ZBaJZHv27OGqq67i66+/Ztq0aVx//fV+R5JCIC+1WHVY5M+cczzyyCM8+eSTdOnShSlTplCiRAm/Y0kBy1OD7JzLMLOygY9/BH4McRMXAxudc5sBzOxt4Frg26AxdwAvOef2Bb7Oz3nJLBLJnnjiCb777js+/PBD2rVr53ccKSTyWItVh0WCzJkzhxEjRtCzZ0/GjRtH0aJF/Y4kPgjHKRbfm9mEzOIcomrA9qDnOwKvBasH1DOzT81shZm1zW1QkUg3bNgwlixZouZYciO3tVh1WCRIfHw8Y8eO5ZVXXlFzHMPCsYpFCeAcYKuZrQPWAGucc+Nz8LnZXXmU9fZgxYC6QAugOrDEzM5xzu3/04bMegO9ASpXrszChQtDmQMAiYmJufq8SBaNc4LomtfWrVsZN24c/fr147PPPgOImrlBdH2vMkXonHJbi8NWhyHvtThC/27zLBrnFU1zSk1NZdKkSXTt2pUiRYpw5plnsmjRIr9jhU00fa+C5ee8wtEgf+icu9O8y+zr45371iiHn7sDqBH0vDqwK5sxK5xzqcCWQOGvC6wMHhT4JTAe4MILL3QtWrQIdR4sXLiQ3HxeJIvGOUH0zGv16tUMGDCAokWLkpKSEhVzyipavlfBInROua3FYavDkPdaHKF/t3kWjfOKljklJyfTuXNn5syZQ4cOHahatWpUzCtYtHyvssrPeYXjFIunAJzne+fc2/z53LVjWQnUNbPaZlYCuBGYkWXMf4CWAGZWEe9Q3+Yw5Bbx1aeffkrLli2Ji4tjyZIlukpa8iq3tVh1WGLWwYMHadeuHR9//DHjx4/npptu8juSRIhcN8hm1tvM3gQqBJYICr6tTLbLBGXlnEsD+gL/Bb4D3nHOfWNmQ83smsCw/wK/mNm3wAJgoHPul9zmFokEixYtok2bNlSuXJklS5ZQt25dvyNJIZXXWqw6LLHql19+IT4+nk8//ZSpU6dyxx13+B1JIkheTrGYhndhRzxwG9DYzMrgHZrbl9ONOOdmA7OzvPZo0McOeCDwEIkKtWvX5sorr2TChAlUrlzZ7zhSuOW5FqsOSyz67bffSExM5IMPPuDqq6/2O45EmFw3yM65A8AcM2vvnPsfQOAuTrWATeGJJxJdlixZQtOmTalZsyYzZ870O45EAdVikdD8+OOPnHLKKVStWpWvvvqKYsXCcTmWRJuQT7Ews0pmdpeZ/cvMBgM/ZL7nnDvsnPvGOXcknCFFosG4ceNo3rw5o0eP9juKRAHVYpHQrVu3josvvpgHHvAOhqg5lqMJ6SfDzC7DOwx3GNgIXMYf56bdCix3zm0Me0qRQm7kyJEMHDiQDh060KdPH7/jSCGnWiwSui+++II2bdpgZtx+++1+x5EIF+oe5OeBOUBN4Er+vH7m2cCj2X2SSKxyzjFkyBAGDhxIly5deP/99ylVqpTfsaTwUy0WCcHy5ctp0aIFJUuWZPHixZx77rl+R5IIF2qDfDbwSuCq56wLyX8ONA1LKpEosWnTJoYPH87tt9/O1KlTKVGihN+RJDqoFovkUFJSEh07dqRSpUosXbqU+vXr+x1JCoFQT77ZCdQ+ynt7gCp5iyMSHZxzmBlnnHEGq1at4qyzzqJIkXAsOy4CqBaL5FhcXBzTp0+nbt26VKmifxqSM6H+xh4PPGZmdbJ5rxYhLO8mEq1SU1O56aabmDBhAgBnn322mmMJN9VikeN46623GDt2LABXXHGFmmMJSai/tZ8FvgdW450D54CyZnYe8DDeAvIiMSs5OZnrrruOt99+m3371KNIvlEtFjmG8ePHc/PNN/Puu++Snp7udxwphEJqkJ1z6cBVwNNAF7wLQ+YBq4Ak4O/hDihSWCQmJtKhQwc++ugjxo4dy8CBA/2OJFFKtVjk6EaNGkWfPn1o3749s2bNomjRon5HkkIo5AUAA4V5mJkNBxrinev2I/BN4D2RmJOSkkLr1q1ZuXIlkydP5pZbbvE7kkQ51WKRvxoyZAhDhw6lS5cuTJkyRRdGS67l5U56Dvgq8BCJaSVKlKBTp04MGjSITp06+R1HYohqscgfypQpQ8+ePRk3bpz2HEuehHqjkO+AL4AvA4+vnHM78yOYSGGwY8cOfvzxRy666CIGDRrkdxyJEarFIn9IT09nw4YNnHnmmQwYMOD3VYRE8iLUPchTgF5A18BzZ2b78Ar0F8ASYLZzLiV8EUUi06ZNm2jVqhUA69ev16E8KUiqxSJ4p7fdcsst/Pe//+X777+nSpUqao4lLEJtkDOAg8AVwBagGtAcuA84D+gOpJnZPc6598IZVCSSfPPNN7Ru3ZqUlBQ++eQTNcdS0FSLJeYlJyfTuXNn5syZw4gRI7SMm4RVqA3yA0AP59zSwPOdwOdmNh6YCzyBt3j9m2a23zk3L3xRRSLDqlWruOqqq36/ZWmDBg38jiSxR7VYYtrBgwe55pprWLx4MePGjaN3795+R5IoE2qDXAwol/VF59wBM3saeMQ5d7GZ1Qf+ibfskEhU+fe//03ZsmWZN28ep59+ut9xJDapFktMGzVqFEuXLuXNN9+kW7dufseRKBTqjUI+AB41swrZvJcGnB34eDZwYV6CiUSazMXmx40bx7Jly9Qci59UiyWm/fOf/2Tx4sVqjiXfhNogD8BbhH6TmT1qZuebWXUza4G3YP33gXEpudi2SMR6//33ufjii9m7dy8lS5bUuW7iN9ViiTlbt27l6quv5ueff6Z48eI0bdrU70gSxUK9k94+oAnwHNAXWAlsBebjHe67MzD0QrwLR0QKvSlTptClSxdKlixJsWK5XjpcJGxUiyXWrFu3jssvv5xPP/2U7du3+x1HYkBu7qSXAjxuZkOBc4FTgb3Al8651MCwZXhLDYkUamPHjuXuu+/myiuv5MMPP6R06dJ+RxIBVIsldnz55Ze0bt0aM2PhwoWce+65fkeSGBByg2xmxYA6QJJzLtvC65xblNdgIn577bXXuPvuu/nb3/7GO++8wwknnOB3JJHfqRZLLPjf//5HfHw8pUuXJiEhgfr16/sdSWJESKdYmNmlwHbgW+AHMztkZsvMbKyZ3WlmTfIlpYgP2rVrx4ABA3jvvffUHEtEUS2WWFG9enUuu+wyli5dquZYClSoF288C3wKNAAMmAwcAfoA/waWHv1TRSJfRkYGEydOJC0tjSpVqjBixAiKFy/udyyRrFSLJaotX76c1NRUKleuzKxZszjttNP8jiQxJtQGuSHwCrAx8PxV59yVQHtgPdAsjNlEClR6ejq9evXi9ttv59133/U7jsixqBZL1Hrrrbdo1qwZTz31lN9RJIaF2iAfAX5zzqXjLTFUHsA59zHwOnBveOOJFIyUlBS6devGxIkTeeyxx+jatavfkUSORbVYotL48eO5+eabueyyy3jggQf8jiMxLNQG+Vu825cCbMbbi5FpJdA2HKFEClJycjKdOnVi+vTpjBo1iiFDhmBmfscSORbVYok6o0aNok+fPrRt25Y5c+ZQtmxZvyNJDAu1QR6Hd9U0wBvAA2Z2oZmVA7rj7ckQKVTWr1/P0qVLGT9+vPZYSGGhWixRZdeuXTz++OPccMMN/Oc//yEuLs7vSBLjQlrmzTk3Nejpi0A74HPABR53hy+aSP767bffKFmyJOeeey6bNm2iYsWKfkcSyRHVYokWzjnMjKpVq7JixQrq169P0aJF/Y4lkvtbkDrnjjjnWgItgVuBc5xz48OWTCQf7d69m4suuoiXXnoJQM2xFFqqxVJYpaenc8cdd/Dss88C0KBBAzXHEjFy3SBncs4tcs5Ndc59H45AIvlt27ZtXHHFFWzatIkzzzzT7zgiYaFaLIVJSkoKN910E6+++ioHDhzwO47IX4R0ioWZlQRuA+oDvwJfA1855zblQzaRsNuwYQPx8fEcOHCAuXPn0rRpU78jiYRMtVgKs+TkZK6//npmz57NiBEjGDBggN+RRP4i1FtNTwU64hXjE4FagJnZYeAb4Evn3J1hTSgSJgcOHKB58+akpqayYMECzjvvPL8jieSWarEUSunp6Vx99dUsWLCAcePG0bt3b78jiWQr1Aa5DXCvc24MgJmVwlteqFHQQyQilStXjscff5xmzZrp1Aop7FSLpVAqWrQonTt3plevXnTr1s3vOCJHFWqDvA3YkvnEOZeMd+X05+EMJRJOixYtAqB58+bccccdPqcRCQvVYilUdu/ezYYNG2jWrBl3361FViTyhXqR3jNo+SApRGbPnk3btm35+9//jnPO7zgi4aJaLIXG1q1badasGTfccANJSVqiWwqHkBpk59wU4Aczm2tmV5pZ8XzKJZJn06dPp2PHjjRo0IBZs2bp7ngSNVSLpbBYv349zZo1Y+/evXzwwQe6AYgUGqGuYvEgcE/gaSsg1cy+B74MPL5yzs0Nb0SR0E2aNImePXvSpEkTPvroI8qVK+d3JJGwUS2WwuDLL7+kTZs2OOdYsGABjRs39juSSI6Feg7yw3i3Nf0n3pXTjYBzA3/eB1QDtMq3+Mo5x7x584iPj+f999/nxBNP9DuSSLipFkvEe/XVVylRogQJCQnUr1/f7zgiIQm1QU4FJjnntgWefwdMy3zTzE4KVzCRUDnnOHjwIOXKleO1114jIyODkiVL+h1LJD+oFkvESktLo1ixYjz77LMMHjyYKlWq+B1JJGShXqT3Bt7hvGw55/bnLY5I7jjnGDx4MBdddBG//vorxYsXV3Ms0Uy1WCLSrFmzaNy4Mbt27aJYsWJqjqXQCrVB3gp0M7N7zEyH7yQiZGRk0LdvX4YNG0arVq046STtPJOop1osEeftt9+mU6dOxMXFaQeFFHqhNshP47p/L2wAACAASURBVN2xaTTws5l9aGaPm9l1ZlYn7OlEjiMtLY3bbruNMWPGMHDgQMaMGUORIqH+WIsUOqrFElFeeeUVbrrpJpo2bUpCQgIVKlTwO5JInoTaSZQB6gKdgReAFOBG4B1gg5kdCjWAmbU1s3VmttHM/nGMcdebmTOzC0P9GhK9Hn30USZPnsyTTz7JsGHDtJSbxArVYokYb775Jr1796Zt27bMmTOHsmXL+h1JJM9CukjPeXda2BR4fJD5upmdAJwTeORY4NDgS0BrYAew0sxmOOe+zTKuDNAP+CyU7Uv0u//++6lfvz7du3f3O4pIgVEtlkiSeTOmoUOHUqJECb/jiIRFyMeizayYmdU3sxqZrznnjjjnVjnnJoW4uYuBjc65zc65FOBt4Npsxj0BDAeOhJpXos+BAweYMGECKSkpVKpUSc2xxCTVYvGTc46ZM2fy22+/UaFCBZ555hk1xxJVQmqQzexSYDvwLd5dnA6Z2TIzG2tmd5pZkxC/frXA9jLtCLwW/DXPA2o452aFuG2JQnv37qVVq1a8/fbbfP75537HEfGFarH4KT09nd69e/Pss88ydepUv+OI5ItQ10F+FvgUb5H674DJwFlAHyADMEJbnD67E0bd72+aFQGeA3ocd0NmvYHeAJUrV2bhwoUhxPAkJibm6vMiWTTN6ZdffuHBBx9k165dPPzww6SlpUXN3CC6vlfBonFeETCnqK3FEfB3my+iZV6pqan861//YsGCBXTt2pVatWpFxbyCRcv3Klg0zgnyeV7OuRw/gEPAVXiFNwM4P/B6W7w9GU1D3F4T4L9BzwcDg4OelwP2Aj8EHkeAXcCFx9ruBRdc4HJjwYIFufq8SBYtc9qyZYurU6eOK126tJs/f37UzCtYNM7JueicV27nBKxyIdTIoz2iuRZH48+Lc9Exr6SkJNehQwcHuOHDh0fFnLITjfOKxjk5l7t55bQOh3oO8hHgN+dcOpAElA802R8DrwP3hri9lUBdM6ttZiXwrsKekfmmc+6Ac66ic66Wc64WsAK4xjm3KsSvI4Xc/v37ycjIICEhgZYtW/odR8RvqsVS4LZu3cqKFSt4+eWXGThwoN9xRPJVqA3yt0DtwMebgYZB763E23uRY865NKAv8F+8w4TvOOe+MbOhZnZNiNkkCu3evRuAxo0bs27dOi655BKfE4lEBNViKTBJSUk45zjzzDPZuHEjffr08TuSSL4LtUEeB2QuQv8G8ICZXWhm5YDueHsyQuKcm+2cq+ecq+Oceyrw2qPOuRnZjG2hPRaxY/ny5Zx11lmMGTMGgOLFi/ucSCRiqBZLgdi9ezeXXnopzzzzDIDuVCoxI9R1kIMvV30RaAd8jncxhwPuDl80iWXz58/nmmuuoUqVKnTo0MHvOCIRRbVYCsK2bduIj49n586dXHTRRX7HESlQoa5i8Tvn3BGgpZk1x1sOaLVz7vuwJZOYNWvWLK6//nrq1q3LJ598QpUqVfyOJBKxVIslP6xfv574+HgOHTpEQkICTZqEunKgSOGWowbZzIoBPYEOQFUgEe8OTvOA95xzv+VbQokpO3bsoHPnzpx77rnMmTOHChUq+B1JJGKoFktBSExMpGXLlqSmprJgwQIaN27sdySRAnfcc5DNrDiQAIwFGuMtL1Qc75DeG8A2M+uWnyEldlSvXp1p06aRkJCg5lgkiGqxFJTSpUszYsQIlixZouZYYlZO9iDfB1wKXO+cez/4DTNriLde5htmdqpz7rl8yCgx4IUXXuCss86iTZs2dOzY0e84IpFItVjy1YIFC0hOTqZ9+/bcdNNNfscR8VVOVrHoAryctSADOOfWOuduAgYBw8ysbrgDSnRzzjF06FD69+/PG2+84XcckUimWiz5ZtasWbRr144hQ4aQkZHhdxwR3+WkQT4TWHysAc65UcByvHU0RXLEOcegQYMYMmQIPXr04LXXXvM7kkgkUy2WfDFt2jQ6depEw4YN+fjjjylSJNQVYEWiT07+FZTGu6Xo8bwBtMhTGokZGRkZ3HXXXYwcOZK+ffvy6quvUqxYrhdVEYkFqsUSdhMmTKBbt240bdqUefPm6doPkYCc/jcxPQdj1gM18pBFYoiZkZaWxkMPPcSLL76oPRYiOaNaLGG1evVqrrrqKubMmUPZsmX9jiMSMXK6y+45M/sMWAt8DXzjnEvOMuYIoH9dckxHjhxhz5491KhRg/Hjx6sxFgmNarHkmXOOX375hYoVK/Lvf/+btLQ0SpQo4XcskYiSkwb5BeAc4GbgFAJ3ajKzLXgFOrNQlwQsn3JKFDh8+DAdO3Zk8+bNfP3115QqVcrvSCKFiWqx5JlzjgEDBjB9+nRWrVrFKaecouZYJBvHbZCdc/dnfmxmlYBGgUfDwKMNkNnpuHzIKFFg//79dOjQgRUrVvDaa6+pORYJkWqx5FV6ejp33nknEyZMoF+/flSsWNHvSCIRK6Sropxze/Du2DQv8zUzM6AuXqE+J6zpJCrs2bOHq666iq+//pp33nmHzp07+x1JpFBTLZZQpaamcuuttzJt2jQeeeQRHn/8cbwfGRHJTp6XDXDOObyLQtYD7+Y5kUSdAQMG8P333zNjxgzatm3rdxyRqKRaLMfy+OOPM23aNIYPH87AgQP9jiMS8bSuluS7559/nrvuuotLL73U7ygiIjFp4MCBNGrUiC5duvgdRaRQ0BICki++++47br31Vo4cOUL58uXVHIuIFLBff/2Vfv36kZSURLly5dQci4RADbKE3Zo1a7jiiiuYO3cuO3bs8DuOiEjM2b17Ny1atGDcuHGsXr3a7zgihY4aZAmrTz/9lJYtWxIXF8eSJUs444wz/I4kIhJTtm3bxhVXXMGmTZv46KOPuPzyy/2OJFLoqEGWsJk/fz5t2rShcuXKLF26lLp16/odSUQkpmzYsIHLL7+cn3/+mblz5xIfH+93JJFCSQ2yhM0pp5zCpZdeyuLFi6lRQ3e6FREpaGlpaZQpU4YFCxbQtGlTv+OIFFpqkCXPVq9ejXOOc845h3nz5lG5cmW/I4mIxJQtW7bgnOOss85i7dq1nHfeeX5HEinU1CBLnowbN44LL7yQyZMn+x1FRCQmLVy4kEaNGvHcc88BUKSIfrWL5JX+FUmujRw5kjvvvJP27dtr+SARER989NFHtGvXjtNOO41u3br5HUckaqhBlpA55xgyZAgDBw6kS5cuvP/++5QqVcrvWCIiMWXatGl07NiRc845h0WLFlGlShW/I4lEDTXIErK1a9fy5JNPcvvttzN16lRKlCjhdyQRkZiyY8cO/u///o+mTZsyb948KlSo4HckkaiiW01LyBo1asSyZcu46KKLdK6biIgPqlevzuzZs2nSpAlxcXF+xxGJOupuJHvJybBrF2zdCrt2kXrwILfeeiszZswA4JJLLlFzLCKSW1lqLMnJx/0U5xxDhw7lvffeA6BVq1ZqjkXyiToc+audO2HAAKhbF2rV4sgZZ3Bdo0a88cYbbNy40e90IiKFW5YaS9263vOdO4/6Kc45BgwYwJAhQ/jkk08KLqtIjNIpFvJnO3dCkyawfTsAicC1ycks2LqVseXLc2fXrv7mExEpzLLUWACSkmDMGJg5E5Yvh2rV/vQp6enp3HnnnUyYMIF+/fr9vpybiOQf7UGWPyQnw9NP/164k4DWwCJgMnDnvn3wr3/l6FCgiIhkkaXG/sX27X+psenp6dxyyy1MmDCBhx9+mOeff16nt4kUAP0rkz/s2weTJv3+tBTQFJgO3JL54sSJ3jgREQlNlhqbrSw1tkiRIlStWpVhw4bx5JNPYmb5m1FEAJ1iIcFSUyEpie14e4/rA6OyjklK8saJiEhoAjX2mAI19tChQ+zevZu6desycuRINcYiBUx7kOUPxYuz8YQTaAZcB6RnNyYuDooXL9hcIiLRoHhxr4YeS1wcvyYm0rp1a1q1akVycrKaYxEfqEGW3329axfNihQhEZgCFM1u0G23QfnyBRtMRCQalC8PPXocc8hPXbvSsls31qxZw+jRo3WXUhGfqEEWAFatWkXzq67CypRh8amncn52g2rUgMGDQQVbRCR0pUrBQw95tTQb26pUodnChWzctImPPvqIa6+9toADikgmNcgCwNChQylbtixLly2jwapVcM89fxwKjIvznmez/JCIiISgWjWvlmZTYx+9/HJ+/vVX5s6dS3x8vL85RWKcLtKLcc45zIw33niDQ4cOUS2zAR4xwtvTkZrqnTdXvrz2HIuIhEO1atnW2H+npzPghx8455xz/E4oEvO0BzmGvffee8THx3P48GHKli37R3MMXjNctSqcdpr3p5pjEZHwCdTYz3bvpn2vXhxKS6N06dJqjkUihBrkGDV58mS6dOlCcnIyqVq2TUSkwC1cuJD4+HjWrVvHPq0vLxJR1CDHoDFjxtC9e3datmzJJ598wkknneR3JBGRmPLRRx/Rrl07atasyZIlS6hZs6bfkUQkiBrkGDN27FjuuecerrnmGmbNmkXp0qX9jiQiElM+/PBDOnbsyNlnn82iRYuoWrWq35FEJAs1yDGmVatW9O3bl3fffZcTTjjB7zgiIjHnnHPO4brrrmP+/PlUrFjR7zgikg3fG2Qza2tm68xso5n9I5v3HzCzb83sKzObZ2an+ZGzMMvIyOCdd97BOUe9evUYPXo0xXU3PBEJUB0uGHPnzsU5R506dZg2bRply5b1O5KIHIWvDbKZFQVeAtoBDYBuZtYgy7A1wIXOuUbAu8Dwgk1ZuKWnp9OzZ0+6du3K7Nmz/Y4jIhFGdTj/Oed4/fXXadOmDZMnT/Y7jojkgN97kC8GNjrnNjvnUoC3gT/dOsg5t8A5lxR4ugKoXsAZC62UlBSeeOIJJk2axOOPP0779u39jiQikUd1OB855xgwYACTJk2iR48e3HzzzX5HEpEc8PtGIdWA7UHPdwCXHGN8T2BOdm+YWW+gN0DlypVZuHBhyGESExNz9XmR6LfffmPIkCF89tln3H333VxxxRUsWrTI71hhE03fq0zROCeIznlF2ZzCVoch77U4mv5u09PTee655/joo4+4+uqrufXWW1m6dKnfscImmr5XwaJxXtE4J8jneTnnfHsANwATgp7fCow+ythb8PZclDzedi+44AKXGwsWLMjV50WiJUuWuJIlS7oHH3zQ7yj5Ipq+V5micU7ORee8cjsnYJXzseZm98ivOuxyWYuj6edlzZo1rnjx4u6hhx5y8+fP9ztO2EXT9ypYNM4rGufkXO7mldM67Pce5B1AjaDn1YFdWQeZWTzwMNDcOfdbAWUrlNLS0ihWrBiXX345mzZtYsOGDX5HEpHIpjocZs45zIzGjRvz9ddfU69evajceycSzfw+B3klUNfMaptZCeBGYEbwADM7DxgHXOOc+9mHjIXG7t27ueiii5g+fTrAn28dLSKSPdXhMEpMTKRNmza8+eabANSrV8/nRCKSG742yM65NKAv8F/gO+Ad59w3ZjbUzK4JDBsBlAamm9kXZjbjKJuLaVu3bqVZs2Zs2LCBk08+2e84IlJIqA6Hz759+2jdujULFizIPCVFRAopv0+xwDk3G5id5bVHgz6OL/BQhcyGDRto1aoVhw4dYu7cuTRp0sTvSCJSiKgO591PP/1EmzZt+P7773n33Xfp2LGj35FEJA98b5AlBMnJsG8fpKZC8eJQvjw/HzpEs2bNyMjIYMGCBTRu3NjvlCIi0S+oHh/67TeuuPpqduzcyaxZs2jdurXf6UQkj/w+B1lyaudOGDAA6taFWrW8PwcMoFJKCv3792fx4sVqjkVECkKWelzmvPP4v/Ll+eTNN9Uci0QJ7UEuDHbuhCZNYPsfS5UuSkqi/JgxNJo5k38sXw66IE9EJP8F1eO1QBpwXlISD3/+OfTrBxddpHosEgW0BznSJSfD00//qTmeDbQF7gfv9X/9yxsnIiL5J6gefw40B24Hfr8cT/VYJGqoQY50+/bBpEm/P52Odw/YBsC0zBcnTvTGiYhI/gnU44VAK6A88D5gwWNUj0WighrkSJeaCklJAEzEW6D0UmA+UDFzTFKSN05ERPJPaiqzk5JoB9QElgC1s45RPRaJCmqQI13x4hAXRwbeHuN4vMVKywWPiYvzxomISP4pXpxXihblbGARUDW7MarHIlFBDXKEcyedRPItt1AE71DeDCAu66DbboPy5Qs8m4hIrEhJSYHy5ZnasyfzCDqCl5XqsUhUUIMcwZxzDB46lOaffcbhatWIA0pmHVSjBgweDKVK+ZBQRCT6Pf/88zRp0oQDKSmUevRRytWokf1A1WORqKEGOUJlZGTQt29fhg0bxoVNm1Jq+XK45x7v8B14f95zD2iJNxGRfOGcY+jQodx///3UqlWLE044wau3qsciUU/rIEegtLQ0br/9dqZMmcKgQYN45plnMDMYMQIeeuhPd9LTngoRkfBzzjFw4EBGjRpF9+7dmTBhAsWKBX5lVqumeiwS5dQgR6AHH3yQKVOm8NRTTzF48GCvOQav+KoAi4jku6FDhzJq1Cj69u3LCy+8QJEiWQ64qh6LRDU1yBGof//+NGzYkF69evkdRUQkJt12222UKlWKgQMH/rGTQkRihs5BjhAHDhxg+PDhZGRkULt2bTXHIiIF7MiRI7zwwgtkZGRQs2ZNBg0apOZYJEapQY4Ae/fupVWrVjz88MOsWbPG7zgiIjEnMTGRDh060L9/f5YsWeJ3HBHxmU6x8NmPP/5IfHw8mzdv5sMPP+SCCy7wO5KISEzZt28f7du3Z+XKlUyePJnmzZv7HUlEfKYG2Uc//PAD8fHx/PTTT8yZM4cWLVr4HUlEJKb8/PPPtGnThu+++47p06fTqVMnvyOJSARQg+yjLVu2cPjwYRISErjkkkv8jiMiEnM2bNjAjh07mDlzJm3atPE7johECDXIPti3bx/ly5enZcuWbN68mVJaKkhEpEAdPHiQsmXLctlll7FlyxbKlCnjdyQRiSC6SK+ALV++nDp16jBt2jQANcciIgVs7dq11K9fn8mTJwOoORaRv1CDXIDmzZtH69atqVChApdeeqnfcUREYs7KlStp0aIFRYoU4cILL/Q7johEKDXIBWTmzJl06NCB2rVrs3jxYk477TS/I4mIxJRFixZx5ZVXUq5cOZYuXUqDBg38jiQiEUoNcgFYv3491113HY0aNWLhwoVUqVLF70giIjFl27ZttG3blho1arBkyRJq167tdyQRiWBqkAtAvXr1eOWVV0hISKBChQp+xxERiTk1a9bkpZdeYvHixVSrVs3vOCIS4dQg56PRo0ezatUqAHr06EHZsmV9TiQiElsmTZrEihUrALj99tupWLGiz4lEpDBQgxwOycmwaxds3Qq7duGSknj88cfp168f48eP9zudiEh0ylJ7SU7+09svvPACt912G88//7xPAUWksFKDnFc7d8KAAVC3LtSqhTvjDAY2bcpjjz1Gjx49GDNmjN8JRUSiT5baS9263vOdO3HO8eSTT9K/f386d+7M66+/7ndaESlkdKOQvNi5E5o0ge3bAUgH7k5OZvyXX9K3dGleGDqUIsX0VywiElZZai8ASUkwZgxuxgwGdejAyHHj6N69OxMmTKCY6rCIhEh7kHMrORmefvpPBToD+BF4CHgxMZEiw4b95ZCfiIjkQTa1N1jGjh1snjuXe/r04bXXXlNzLCK5ogY5t/btg0mTADgC7AWKA+8DTwEGMHGiN05ERMIjqPYGSwX2AEWBt3/8kdGPPEKRIvoVJyK5o+qRW6mpkJREInA10BqvQP9pX0VSkjdORETCI1B7gx0BOgMtAx8XT07G0tJ8CCci0UINcm4VL87+UqW4ClgA3I+3B/lP4uKg+F9eFRGR3Cpe3KutAYlAB2AmcDdwAqj2ikieqUHOpT1pabQ88URWAu8A/5fdoNtug/LlCzaYiEg0K18eevQAYB/e0buFwOt4DTKg2isieaYGOZd633cf6xITmVmxIp2zG1CjBgweDKVKFXQ0EZHoVaoUPPQQ1KjBPcD/gOkE7aRQ7RWRMFCDfCzHWIR+9OjRzE1I4KovvoB77vnjkF9cnPd8+XLQ7UxFRPImuzpcrRosX86oHj34uGRJrgPVXhEJK61/czQ7d3pLCU2a5F0QEhfHt9dcw8ulSvHcK69QvXp1qlev7o0dMcLbo5Ga6p33Vr689l6IiORVNnV4Y6dOvFiiBM+OH0+VMWOo8tRTqr0iEnZqkLOTzSL0q5OSaPP22xQvUoQBd95JzYsv/mN8qVIqyiIi4ZRNHf46KYnWb75JWpEi3NezJ3Uuu0y1V0TyhU6xyCqbReg/xVs+qDSwJCODmpMn6wYgIiL5JZs6vBJojvdLa3FGBnXeekt1WETyjRrkYM7Bnj3QtSvMnw99+5IQF0cb4FRgCXAG6AYgIiL56eBBuOEGWLgQ5s9ncadOtALKAUuBs0B1WETylRrkTDt2eHsrzjoLmjeHq6+GlBROeO45zi1VisVAjcyxugGIiEj+SE2Fxx+HDh2gRQu4+mqKZ2RwZoMGLKlXj9qZ41SHRSQfqUEG+PlnSE+HypXh229h2TK+P/VUGD+ey598kk8XL6ZymTJ/jNci9CIi4ffzz96RvAcegG+/Zd1bb8Fpp9Hkww/57OBBqk2dCpm1WHVYRPKR7w2ymbU1s3VmttHM/pHN+yXNbFrg/c/MrFZYA2zbBo88Ag0awNdfQ4MGjBs0iLN/+IEPO3SA7duxiRPhjjv++BwtQi8iUSZiavE330DdukysV48GN93E9HvvhXvvxXbsgNde+6MWqw6LSD7ytUE2s6LAS0A7oAHQzcwaZBnWE9jnnDsDeA4YFrYA27bB5ZfD+PHe4TpgRFISdy5dSvsSJbhq1CioV89bYuiWW7zP0SL0IhJlIqoWZ2TwAnB7SgrxztH+qafgwQf/XItVh0Ukn/m9B/liYKNzbrNzLgV4G7g2y5hr8e4iCvAu0MrMLM9f+Zdf4Kmnfr9K2gGvffwxg4CuwPtHjnDCc895F4IE1t/UIvQiEqUiohY7YEpCAv2BTsAM4MSdO+Ff//qjFpcurTosIvnO7wa5GrA96PmOwGvZjnHOpQEHgAp5/sqHD8Mbb/z+dBleYe4JvAkUB5gyBapW9ZrjE07wbgiioiwi0SciavFKvB0VtwLvACUzxwTX4hIlVIdFJN+Zc86/L252A3CVc65X4PmtwMXOuXuDxnwTGLMj8HxTYMwvWbbVG+gNULly5QvefvvtY3/x337zzjkO8un+/TQtV44/7RQ55xzYvdsrzoXwgpDExERKly7td4ywi8Z5ReOcIDrnlds5tWzZ8n/OuQvzIVKeRFIt/nT/fpqULUuRIln236gWR5xonBNE57yicU6Qu3nluA4753x7AE2A/wY9HwwMzjLmv0CTwMfFgL0EGvujPS644AJ3XFu3OhcX55x3zbRz4BaMHPmn5y4uzrktW5xbu9a5AweOv80ItGDBAr8j5ItonFc0zsm56JxXbucErHI+1tyjPSKpFv+lDqsWR6xonJNz0TmvaJyTc7mbV07rsN+nWKwE6ppZbTMrAdyId9pZsBlA98DH1wPzAxPMmxNP/OPCu6O59VYoWRIqVICyZfP8JUVEIpRqsYhIEF8bZOedx9YXb8/Ed8A7zrlvzGyomV0TGPYqUMHMNgIPAH9ZfihXKlSAhx/2robOTo0a8NBD3sdVqoTlS4qIRCLVYhGRPyvmdwDn3GxgdpbXHg36+AhwQ7588Zo1YckS7wrpKVO81+LivL0VDz0Ep5ziXZwnIhLlIqYWZ557HFyLK1XSkm4iUqB8b5B9d9pp3hJDgwfD9997d9IrXdrbqyEiIgUjsxb/73+wcSMUK+adflG0qJpjESlwapDBa4YrVIAtW7wiLSIiBa9CBW8Ztzp1/E4iIjHO74v0REREREQiihpkEREREZEgapBFRERERIKoQRYRERERCaIGWUREREQkiBpkEREREZEgFo47hUYaM9sDbM3Fp1YE9oY5jt+icU4QnfOKxjlBdM4rt3M6zTlXKdxhIlUua3E0/rxAdM4rGucE0TmvaJwT5G5eOarDUdkg55aZrXLOXeh3jnCKxjlBdM4rGucE0TmvaJxTpIjWv9tonFc0zgmic17ROCfI33npFAsRERERkSBqkEVEREREgqhB/rPxfgfIB9E4J4jOeUXjnCA65xWNc4oU0fp3G43zisY5QXTOKxrnBPk4L52DLCIiIiISRHuQRURERESCxGSDbGZtzWydmW00s39k835JM5sWeP8zM6tV8ClDk4M5PWBm35rZV2Y2z8xO8yNnqI43r6Bx15uZM7OIv0o3J3Mysy6B79c3Zja1oDOGKgc/fzXNbIGZrQn8DLb3I2cozOw1M/vZzL4+yvtmZi8G5vyVmZ1f0BkLM9Vh1WE/RWMdBtXisNZi51xMPYCiwCbgdKAE8CXQIMuYu4GXAx/fCEzzO3cY5tQSiAt8fFekzymn8wqMKwMsBlYAF/qdOwzfq7rAGqB84PkpfucOw5zGA3cFPm4A/OB37hzM6wrgfODro7zfHpgDGHAp8JnfmQvLQ3VYdTjS51TY6nAI81ItzuEjFvcgXwxsdM5tds6lAG8D12YZcy3weuDjd4FWZmYFmDFUx52Tc26Bcy4p8HQFUL2AM+ZGTr5XAE8Aw4EjBRkul3IypzuAl5xz+wCccz8XcMZQ5WRODigb+LgcsKsA8+WKc24x8OsxhlwLTHaeFcBJZlalYNIVeqrDqsN+isY6DKrFYa3FsdggVwO2Bz3fEXgt2zHOuTTgAFChQNLlTk7mFKwn3v+2It1x52Vm5wE1nHOzCjJYHuTke1UPqGdmn5rZCjNrW2Dpcicnc3oMuMXMdgCzgXsLJlq+CvXfnfxBdVh12E/RWIdBtThTMwlpDgAACFNJREFUWGpxsbxuoBDKbg9E1qU8cjImkuQ4r5ndAlwINM/XROFxzHmZWRHgOaBHQQUKg5x8r4rhHd5rgbeHaYmZneOc25/P2XIrJ3PqBkxyzo0ysybAlMCcMvI/Xr4pbHUikqgOqw77KRrrMKgWB8tzrYjFPcg7gBpBz6vz10MMv48xs2J4hyGOtXvfbzmZE2YWDzwMXOOc+62AsuXF8eZVBjgHWGhmP+CdezQjwi8QyenP34fOuVTn3BZgHV6hjlQ5mVNP4B0A59xy4ASgYoGkyz85+ncn2VIdVh32UzTWYVAtzhSWWhyLDfJKoK6Z1TazEngXf8zIMmYG0D3w8fXAfBc4EzxCHXdOgUNg4/CKcmE4lwqOMy/n3AHnXEXnXC3nXC28c/qucc6t8idujuTk5+8/eBfzYGYV8Q71bS7QlKHJyZy2Aa0AzOwsvKK8p0BTht8M4P8CV1BfChxwzv3od6hCQnVYddhP0ViHQbU4vLW4oK9GjIQH3hWP6/Gu9nw48NpQvH/U4P3ATAc2Ap8Dp/udOQxzSgB+Ar4IPGb4nTkc88oydiERfvV0Dr9XBjwLfAusBW70O3MY5tQA+BTvquovgDZ+Z87BnN4CfgRS8fZQ9ATuBO4M+j69FJjz2sLwsxdJD9Vh1eFInlNhrMM5nJdqcQ4fupOeiIiIiEiQWDzFQkRERETkqNQgi4iIiIgEUYMsIiIiIhJEDbKIiIiISBA1yCIiIiIiQdQgi4iIiIgEUYMsIiIiIhJEDbL4xsyeMzMX9DhkZivNbGDgLkAiIpKPVIdFsqcbhYhvzCwBiAMewPvPWlXgCqAP8BkQ75xL8S+hiEh0Ux0WyZ4aZPGNmf0ETHXO3Z/l9c7Au8DdzrmxvoQTEYkBqsMi2dMpFuILMzsFOAXvvul/4px7D+9+6x2Cxt9sZovNbK+ZJZrZcjNrEvR+ETM7bGb3mdmzZvazme0zs4GB9281s28Dn/u+mZXKkueY2w+MOdnMXg1sd6+ZDTazh83s+yzjigUOT240s2QzW2Vml4fj701EJFxUh0WOrpjfASRmNQr8+fVR3t+Ed6gv09nA68AWoCRwB/AfM6sROPx3Ot5hwvuBt4CbgB7AcDM7DagNDAz8+SJwGzAmp9s3s5LAXKA0cC+wH3gKKAt8nrkRMysGfAw0AB4HNgO9gNlmVtc591PO/4pERPKV6rDIUahBFr80AhzwzVHeLwEkZj5xzj2U+XGg+G0GvgfqAN/xR6F/1jn3YmDcBuBm4Cy88+hc4PXeQP3gL5aD7f8DqAuc4Zz7OTDuALAYeCVoUw8ClwAXOOfWB8YtBLYB1wMvHe8vRkSkgKgOixyFTrEQvzQEtjjnDh/l/dp4ey8ws1JmNsjM1prZYSAVr2gCJAVtbz8QfK7ciYE/n3F/Ptn+RODXzCfH276ZFQH6As9lFuWALYE/vwxspwheYZ4MbA4c4iuG9wtoI1Dz2H8luWdmXczstfzavohEJdXhMFIdji7agyx+achRDuuZWUPgVGC+mRkwG2+vwbN458rtA24HugPbg7a31DmXGrSpRkAa3t6FzG3HAbUyv3YOt98IqAjMzBK1WuDPr4IyVALuDjyy+ji7+WbHzIo659JzOh44H1gdwngREdXhY1Adjm1qkKXABf6H34CjF6rBwF68K6ivAFoAlzrnPgvaxghgrXMuI/BSI2Balu2cC3zvnPst6LWGeEdOMovpcbdvZlUCLwfvtcj83H3OucxfDpnj4oED2cxra2DbL+H94qkaeLzunHvUzMYBKcCZwEGgs5mdivcL43S88+wecc69Z2bVgQlAdWB54P0Z2XxNEZG/UB1WHZZjU4MsfqgLlCKbPRdm9iDQDbjVOZccKEAA64PGtMUrpuMDz0vhnaP2ZZbNNTrKa4cJHDbEK2zH3D7eLwmAM/DOYcPMygH9s2z/x8Cf+51z//vLrP9wPt6hvsuBcsAmM/s30BjvXMC2zrl0MysKvAEMdM6tCVxxvtrM3gemAk875z42s1vwLnbJOlcRkaNRHVYdlmNQgyx+aBj4s4SZXQqcANQDbgGa4hWiNwJjVgMZwAtm9jpwEd4hN8cfhehsvL0R2RXhF7N57ZugPR452f6XeIf4XjSzwXj/bh7CO4fui6BtfxN4PtXMngJ+wDvUdzHwrXPu9cBem7OAvwUO3f1qZruB8ngXrLQNOqTXHm/vy0TvCCTgnevXHjjonMvc87MWWH+M8whFRLJSHVYdlmPQRXrih8zC/DqwDPgP3pI9XwJnO+dGZg50zn0H3AO0Bt4HzsNb+sf4o3A2xCtYmXsjMLPyeHslMg/hZWoU/FpOth9YvugGvItG3gEeBp4E0oElQdtKA/4GrAKeAf4LjMA7R255YNiZwB7n3N5AzpOBCnhXi693zu3LknW4c65x0KNeIGPweW4Xo/PeRCQ0qsOqw3IMupOeSC6YWT/gn0BN59yRED7vZrx1P2vhXe39Ct45cRuBFs65PkFjb8Pbm9MusAZoFby9LJ3w9nB0NLOqeL/cXnTOPRuWyYmIFAKqw5KfdIqFyHGYWQu8Q46rgOJ4h9buAG4JpSgHnA+MA2YBJ+PttXkab7H7NVnGvoF3Dt63ZpYI/IK38P6bwI1m9g2wC+9CFO25EJGopTosBU17kEWOw8zaAyPx1gTNwCvQTznnPsnFtubjndt3rItHREQkiOqwFDQ1yCIFyMx+AjJvyyoiIgVMdVhyQg2yiIiIiEgQrWIhIiIiIhJEDbKIiIiISBA1yCIiIiIiQdQgi4iIiIgEUYMsIiIiIhJEDbKIiIiISBA1yCIiIiIiQdQgi4iIiIgEUYMsIiIiIvL/QwIAH6bwsKGPhBAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_features = a.data.loc[:, ['Tg', 'Tk', 'n']]\n",
    "data_features = a.scaler_features.transform(data_features)\n",
    "# Make inference\n",
    "model1_preds = a.lightgbm_model.predict(data_features)\n",
    "model2_preds = a.adaboost_model.predict(data_features)\n",
    "model3_preds = a.polynom_reg_model.predict(data_features)\n",
    "model4_preds = a.catboost_model.predict(data_features)\n",
    "\n",
    "models_preds = pd.concat([pd.DataFrame(model1_preds), pd.DataFrame(model2_preds), \n",
    "                          pd.DataFrame(model3_preds), pd.DataFrame(model4_preds)], axis = 1)\n",
    "models_preds.columns = ['lightgbm_model', 'adaboost', 'polynom_reg', 'catboost']\n",
    "\n",
    "damage_pred_scaled = a.strong_model.predict(models_preds)\n",
    "damage_pred_scaled = damage_pred_scaled.reshape(-1, 1)\n",
    "damage_pred = a.scaler_target.inverse_transform(damage_pred_scaled)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7feea7c3d550>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 42 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Basic EDA\n",
    "sns.pairplot(data1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since most of the `damage` values are near 0 (usual working conditions), but we want a good accuracy for extreme values too, lets split the dataset into 2 groups: \n",
    "__working__ and __extreme conditions__, and will sample them equally with `resample` (bootstraping by groups)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define split variable\n",
    "split_val = 0.1\n",
    "data['groups'] = [1 if f > split_val else 0 for f in data.damage]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Bootstraping by groups (equal sampling)\n",
    "n_samples = data.shape[0] * 3\n",
    "data_resampled = resample(data, n_samples = n_samples, stratify = data.groups)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Normalization\n",
    "scaler = MinMaxScaler()\n",
    "scaler.fit(data_resampled)\n",
    "\n",
    "pickle.dump(scaler, open('scaler.pkl', 'wb')) # save fitted scaler\n",
    "# scaler = pickle.load(open('scaler.pkl', 'rb')) # load it back\n",
    "\n",
    "data_scaled = scaler.transform(data_resampled)\n",
    "data_scaled = pd.DataFrame(data_scaled, columns = data.columns)\n",
    "data_scaled['groups'] = data_scaled['groups'].astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f520c23e0f0>"
      ]
     },
     "execution_count": 330,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(data_scaled.loc[:, ['Tg', 'Tk', 'n']], data_scaled['damage'], test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define function for CV for \"weak\" models\n",
    "def Stacking(model, train, y, test, n_fold, with_eval_set = False):\n",
    "    folds = KFold(n_splits = n_fold, random_state = 42)\n",
    "    test_pred = np.empty((0, 1), float)\n",
    "    train_pred = np.empty((0, 1), float)\n",
    "    for train_indices, val_indices in folds.split(train, y.values):\n",
    "        x_train, x_val = train.iloc[train_indices], train.iloc[val_indices]\n",
    "        y_train, y_val = y.iloc[train_indices], y.iloc[val_indices]\n",
    "\n",
    "        if with_eval_set == False:\n",
    "            model.fit(x_train, y_train)\n",
    "        else:\n",
    "            model.fit(X = x_train, y = y_train, eval_set = [(x_val, y_val)], verbose = 0)\n",
    "            \n",
    "        train_pred = np.append(train_pred, model.predict(x_val))\n",
    "        \n",
    "    test_pred = np.append(test_pred, model.predict(test))\n",
    "    return pd.DataFrame(test_pred), pd.DataFrame(train_pred), model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define lightGBM model\n",
    "model0 = LGBMRegressor(boosting_type = 'gbdt',\n",
    "                       metric = 'rmse',\n",
    "                       n_estimators = 1000,\n",
    "                       num_boost_round = 1000,\n",
    "                       early_stopping_rounds = 100,\n",
    "                       # device = 'gpu',\n",
    "                       n_jobs = -1,\n",
    "                       random_state = 42,\n",
    "                       verbose = -1,\n",
    "                       verbose_eval = False)\n",
    "\n",
    "# Create the random grid\n",
    "model0_param_grid = {'learning_rate': [x for x in np.linspace(0.001, 0.05, num = 5)],\n",
    "                     'max_depth': [int(x) for x in np.linspace(2, 8, num = 4)]}\n",
    "\n",
    "model0_rs = RandomizedSearchCV(estimator = model0,\n",
    "                               param_distributions = model0_param_grid,\n",
    "                               n_iter=10, cv=3, verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Define RandomForest model\n",
    "# model0 = RandomForestRegressor(n_estimators = 100,\n",
    "#                                bootstrap = True,\n",
    "#                                oob_score = True,\n",
    "#                                n_jobs = -1,\n",
    "#                                random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define AdaBoost model\n",
    "model1 = AdaBoostRegressor(base_estimator = RandomForestRegressor(),\n",
    "                           loss = 'square',\n",
    "                           n_estimators = 1000,\n",
    "                           random_state = 42)\n",
    "\n",
    "# Create the random grid\n",
    "model1_param_grid = {'learning_rate': [x for x in np.linspace(0.001, 0.05, num = 5)],\n",
    "                     'base_estimator__max_depth': [int(x) for x in np.linspace(2, 8, num = 4)]}\n",
    "\n",
    "model1_rs = RandomizedSearchCV(estimator = model1,\n",
    "                               param_distributions = model1_param_grid,\n",
    "                               n_iter=10, cv=3, verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define polynomial regression model\n",
    "model2 = make_pipeline(PolynomialFeatures(),\n",
    "                       LinearRegression(n_jobs = -1))\n",
    "\n",
    "model2_param_grid = {'polynomialfeatures__degree': [2, 3, 4, 5]}\n",
    "\n",
    "model2_rs = RandomizedSearchCV(estimator = model2,\n",
    "                               param_distributions = model2_param_grid,\n",
    "                               n_iter=10, cv=3, verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define CatBoost model\n",
    "model3 = CatBoostRegressor(loss_function='RMSE',\n",
    "                           random_seed = 42,\n",
    "                           task_type = 'GPU',\n",
    "                           # boosting_type = 'Plain', # set if it exceeds RAM\n",
    "                           # params for early stopping:\n",
    "                           iterations = 1000,\n",
    "                           od_type = 'Iter',\n",
    "                           od_wait = 100,\n",
    "                           silent = True)\n",
    "\n",
    "# Create the random grid\n",
    "model3_param_grid = {'learning_rate': [x for x in np.linspace(0.001, 0.05, num = 5)],\n",
    "                     'depth': [int(x) for x in np.linspace(2, 8, num = 4)]}\n",
    "\n",
    "model3_rs = RandomizedSearchCV(estimator = model3,\n",
    "                               param_distributions = model3_param_grid,\n",
    "                               n_iter=10, cv=3, verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "# Train \"weak\" models\n",
    "kwargs = {'n_fold': 10, 'train': X_train, 'test': X_test, 'y': y_train}\n",
    "\n",
    "test_pred0, train_pred0, lightgbm_model = Stacking(model = model0, with_eval_set = True, **kwargs)\n",
    "# pickle.dump(lightgbm_model, open('lightgbm_model.pkl', 'wb'))\n",
    "\n",
    "test_pred1, train_pred1, adaboost_model = Stacking(model = model1_rs, **kwargs)\n",
    "# pickle.dump(adaboost_model, open('adaboost_model.pkl', 'wb'))\n",
    "\n",
    "test_pred2, train_pred2, polynom_reg_model = Stacking(model = model2_rs, **kwargs)\n",
    "# pickle.dump(polynom_reg_model, open('polynom_reg_model.pkl', 'wb'))\n",
    "\n",
    "test_pred3, train_pred3, catboost_model = Stacking(model = model3_rs, with_eval_set = True, **kwargs)\n",
    "# pickle.dump(catboost_model, open('catboost_model.pkl', 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE score for stacked model: 0.0009052603756906132\n"
     ]
    }
   ],
   "source": [
    "# Create \"strong\" model over \"weak\" predictions\n",
    "train_preds = pd.concat([train_pred0, train_pred1, train_pred2, train_pred3], axis = 1)\n",
    "test_preds = pd.concat([test_pred0, test_pred1, test_pred2, test_pred3], axis = 1)\n",
    "train_preds.columns = ['lightgbm_model', 'adaboost', 'polynom_reg', 'catboost']\n",
    "test_preds.columns = ['lightgbm_model', 'adaboost', 'polynom_reg', 'catboost']\n",
    "\n",
    "strong_model = xgb.XGBRegressor(eval_metric = \"rmse\",\n",
    "                                # min_child_weight=1.5,                                                                  \n",
    "                                # reg_alpha=0.75,\n",
    "                                # reg_lambda=0.45,\n",
    "                                objective='reg:squarederror',\n",
    "                                n_estimators = 1000,\n",
    "                                num_boost_round = 1000,\n",
    "                                early_stopping_rounds = 100,\n",
    "                                # max_depth = 2,\n",
    "                                # num_leaves = 4,\n",
    "                                eval_set = [(X_test, y_test)],\n",
    "                                kvargs = {'tree_method':'gpu_hist'}, # enable GPU\n",
    "                                seed = 42)\n",
    "\n",
    "# Create the random grid\n",
    "strong_model_param_grid = {'colsample_bytree': [0.4, 0.6, 0.8],\n",
    "                           'reg_lambda': [0.01, 0.5, 1],\n",
    "                           'learning_rate': [x for x in np.linspace(0.001, 0.05, num = 5)],\n",
    "                           'max_depth': [int(x) for x in np.linspace(2, 8, num = 4)],\n",
    "                           'num_leaves': [20, 40, 60, 80]}\n",
    "\n",
    "\n",
    "strong_model = RandomizedSearchCV(estimator = strong_model,\n",
    "                                  param_distributions = strong_model_param_grid,\n",
    "                                  n_iter=100, cv=3, verbose=0)\n",
    "\n",
    "strong_model.fit(train_preds, y_train)\n",
    "# pickle.dump(strong_model, open('xgbr_strong_model.pkl', 'wb')) # save the fitted model\n",
    "\n",
    "y_pred_test = strong_model.predict(test_preds)\n",
    "print(f\"RMSE score for stacked model: {sqrt(mean_squared_error(y_pred_test, y_test))}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE score for stacked model: 0.0009052603756906132\n",
      "RMSE score for LightGBM model: 0.012030017903305844\n",
      "RMSE score for AdaBoost model: 0.0006192848001356577\n",
      "RMSE score for polynimial regression: 0.006991856066514724\n",
      "RMSE score for CatBoost model: 0.012473316848840706\n"
     ]
    }
   ],
   "source": [
    "y_pred_test = strong_model.predict(test_preds)\n",
    "print(f\"RMSE score for stacked model: {sqrt(mean_squared_error(y_pred_test, y_test))}\")\n",
    "print(f\"RMSE score for LightGBM model: {sqrt(mean_squared_error(test_pred0, y_test))}\")\n",
    "print(f\"RMSE score for AdaBoost model: {sqrt(mean_squared_error(test_pred1, y_test))}\")\n",
    "print(f\"RMSE score for polynimial regression: {sqrt(mean_squared_error(test_pred2, y_test))}\")\n",
    "print(f\"RMSE score for CatBoost model: {sqrt(mean_squared_error(test_pred3, y_test))}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE score for stacked model: 0.0006769867078193512\n",
      "RMSE score for LightGBM model: 0.0088917921494916\n",
      "RMSE score for AdaBoost model: 0.0008210242015147392\n",
      "RMSE score for polynimial regression: 0.005867663762123875\n",
      "RMSE score for CatBoost model: 0.011301488462533735\n"
     ]
    }
   ],
   "source": [
    "y_pred_test = strong_model.predict(test_preds)\n",
    "print(f\"RMSE score for stacked model: {sqrt(mean_squared_error(y_pred_test, y_test))}\")\n",
    "print(f\"RMSE score for LightGBM model: {sqrt(mean_squared_error(test_pred0, y_test))}\")\n",
    "print(f\"RMSE score for AdaBoost model: {sqrt(mean_squared_error(test_pred1, y_test))}\")\n",
    "print(f\"RMSE score for polynimial regression: {sqrt(mean_squared_error(test_pred2, y_test))}\")\n",
    "print(f\"RMSE score for CatBoost model: {sqrt(mean_squared_error(test_pred3, y_test))}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualize the result metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_true_vs_pred(y_pred, y_test, title_text, ax=None, **kwargs):\n",
    "    ax = ax or plt.gca()\n",
    "\n",
    "    ax.set_title(title_text, y=1.01, fontsize=19, fontweight='bold')\n",
    "    sns.scatterplot(x = y_pred, y = y_test, ax=ax, color='red', s=100)\n",
    "    ax.plot(np.arange(0, 1.1, 0.1), np.arange(0, 1.1, 0.1), color='black', linestyle='dashed')\n",
    "    \n",
    "    rmse = sqrt(mean_squared_error(y_test, y_pred))\n",
    "    ax.text(0.17, 0.8, f'$RMSE={round(rmse, 4)}$', fontsize=12, fontweight='bold')\n",
    "    ax.set_ylabel('$Damage_{true}$', fontsize = 15)\n",
    "    ax.set_xlabel('$Damage_{pred}$', fontsize = 15)\n",
    "    ax.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_true_minus_pred(y_pred, y_test, title_text, ax=None, **kwargs):\n",
    "    ax = ax or plt.gca()\n",
    "    \n",
    "    ax.set_title(title_text, y=1.01, fontsize = 20, fontweight='bold')\n",
    "    sns.distplot((y_test - y_pred), kde=True, norm_hist=True, color='red')\n",
    "\n",
    "    rmse = sqrt(mean_squared_error(y_test, y_pred))\n",
    "    ax.text(-0.015, 1350, f'$RMSE={round(rmse, 4)}$', fontsize=12, fontweight='bold')\n",
    "\n",
    "    ax.set_ylabel('$Occurence$', fontsize = 15)\n",
    "    ax.set_xlabel('$Damage_{true}$ - $Damage_{pred}$', fontsize = 15)\n",
    "    ax.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (5, 5))\n",
    "plot_true_vs_pred(y_pred_test, y_test, \"Stacked model\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (5, 5))\n",
    "plot_true_minus_pred(y_pred_test, y_test, 'Stacked model')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 2, figsize=(10, 10))\n",
    "\n",
    "axes = axes.flatten()\n",
    "\n",
    "# plot_true_vs_pred(y_pred_test, y_test, 'Stacked model', ax=axes[0])\n",
    "\n",
    "plot_true_vs_pred(test_pred0.values.flatten(), y_test, 'LightGBM model', ax=axes[0])\n",
    "plot_true_vs_pred(test_pred1.values.flatten(), y_test, 'AdaBoost model', ax=axes[1])\n",
    "plot_true_vs_pred(test_pred2.values.flatten(), y_test, 'Polynom_reg model', ax=axes[2])\n",
    "plot_true_vs_pred(test_pred3.values.flatten(), y_test, 'CatBoost model', ax=axes[3])\n",
    "    \n",
    "fig.tight_layout()\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to re-use the pre-trained model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the new dataset\n",
    "data = pd.read_csv('Data_training.csv', index_col = 0)\n",
    "data.columns = ['Tg', 'Tk', 'n', 'damage']\n",
    "\n",
    "# Define group variable\n",
    "split_val = 0.1\n",
    "data['groups'] = [1 if f > split_val else 0 for f in data.damage]\n",
    "\n",
    "# Normalize the data\n",
    "scaler = pickle.load(open('scaler.pkl', 'rb'))\n",
    "data_scaled = scaler.transform(data)\n",
    "data_scaled = pd.DataFrame(data_scaled, columns = data.columns)\n",
    "\n",
    "# Make inference\n",
    "x = data_scaled.loc[:, ['Tg', 'Tk', 'n']]\n",
    "y_true = data['damage']\n",
    "\n",
    "model1 = pickle.load(open('lightgbm_model.pkl', 'rb'))\n",
    "model2 = pickle.load(open('polynom_reg_model.pkl', 'rb'))\n",
    "model3 = pickle.load(open('catboost_model.pkl', 'rb'))\n",
    "strong_model = pickle.load(open('xgbr_strong_model.pkl', 'rb'))\n",
    "\n",
    "model1_preds = model1.predict(x)\n",
    "model2_preds = model2.predict(x)\n",
    "model3_preds = model3.predict(x)\n",
    "\n",
    "models_preds = pd.concat([model1_preds, model2_preds, model3_preds], axis = 1)\n",
    "\n",
    "y_pred = strong_model.predict(models_preds)\n",
    "print(f\"RMSE score for stacked model: {sqrt(mean_squared_error(y_pred, y_true))}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the new data_interset\n",
    "data_inter = pd.read_csv('/home/mraevsky/Skoltech/Surrogate_modeling/ciam_ml_model/Data_training_2.csv', index_col = 0)\n",
    "data_inter.columns = ['Tg', 'Tk', 'n', 'damage']\n",
    "\n",
    "# Define pseudo_group column\n",
    "split_val = 0.1\n",
    "data_inter['groups'] = [1 if f > split_val else 0 for f in data_inter.damage]\n",
    "\n",
    "# Normalize the data_inter\n",
    "scaler = pickle.load(open('../ciam_ml_model/scaler.pkl', 'rb'))\n",
    "data_inter_scaled = scaler.transform(data_inter)\n",
    "data_inter_scaled = pd.DataFrame(data_inter_scaled, columns = data_inter.columns)\n",
    "\n",
    "# Make inference\n",
    "x = data_inter_scaled.loc[:, ['Tg', 'Tk', 'n']]\n",
    "\n",
    "model1 = pickle.load(open('../ciam_ml_model/lightgbm_model.pkl', 'rb'))\n",
    "model2 = pickle.load(open('../ciam_ml_model/adaboost_model.pkl', 'rb'))\n",
    "model3 = pickle.load(open('../ciam_ml_model/polynom_reg_model.pkl', 'rb'))\n",
    "model4 = pickle.load(open('../ciam_ml_model/catboost_model.pkl', 'rb'))\n",
    "strong_model = pickle.load(open('../ciam_ml_model/xgbr_strong_model.pkl', 'rb'))\n",
    "\n",
    "model1_preds = model1.predict(x)\n",
    "model2_preds = model2.predict(x)\n",
    "model3_preds = model3.predict(x)\n",
    "model4_preds = model4.predict(x)\n",
    "\n",
    "models_preds = pd.concat([pd.DataFrame(model1_preds), \n",
    "                          pd.DataFrame(model2_preds), \n",
    "                          pd.DataFrame(model3_preds), \n",
    "                          pd.DataFrame(model4_preds)], axis = 1)\n",
    "models_preds.columns = ['lightgbm_model', 'adaboost', 'polynom_reg', 'catboost']\n",
    "\n",
    "y_pred = strong_model.predict(models_preds)\n",
    "\n",
    "# Rescale data back to original scale\n",
    "data_inter_pred = data_inter_scaled.loc[:, ['Tg', 'Tk', 'n']]\n",
    "data_inter_pred['damage_pred'] = y_pred\n",
    "data_inter_pred['groups'] = 0 # pseudo values\n",
    "data_inter_pred = scaler.inverse_transform(data_inter_pred)\n",
    "data_inter_pred"
   ]
  }
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