tutorial/plot/tuto-plot01-local_plot-and-to_pandas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How to use filter and local_plot methods\n",
    "\n",
    "<b>This tutorial </b>presents the different parameters you can<br />\n",
    "use to summarize and display local explanations. <br />\n",
    "It also shows how to export this summary into pandas DataFrame\n",
    "\n",
    "Contents:\n",
    "- Work with filter and local_plot method to tune output\n",
    "- display Positive or Negative contributions\n",
    "- mask hidden contrib or prediction\n",
    "- hide some specific features\n",
    "- Use query parameter to select without index or row number\n",
    "- <b>Classification:</b> How can you select the label value to display?\n",
    "- print the summary params\n",
    "- export local explanation with to_pandas\n",
    "\n",
    "Data from Kaggle [House Prices](https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from category_encoders import OrdinalEncoder\n",
    "from catboost import CatBoostRegressor, CatBoostClassifier\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building Supervized Model "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapash.data.data_loader import data_loading\n",
    "house_df, house_dict = data_loading('house_prices')\n",
    "y_df=house_df['SalePrice'].to_frame()\n",
    "X_df=house_df[house_df.columns.difference(['SalePrice'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from category_encoders import OrdinalEncoder\n",
    "\n",
    "categorical_features = [col for col in X_df.columns if X_df[col].dtype == 'object']\n",
    "\n",
    "encoder = OrdinalEncoder(\n",
    "    cols=categorical_features,\n",
    "    handle_unknown='ignore',\n",
    "    return_df=True).fit(X_df)\n",
    "\n",
    "X_df=encoder.transform(X_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "Xtrain, Xtest, ytrain, ytest = train_test_split(X_df, y_df, train_size=0.75, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "regressor = CatBoostRegressor(n_estimators=50).fit(Xtrain,ytrain,verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = pd.DataFrame(regressor.predict(Xtest),columns=['pred'],index=Xtest.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Work With filter and local_plot methods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### First step: You need to Declare and Compile SmartExplainer "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapash.explainer.smart_explainer import SmartExplainer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "xpl = SmartExplainer(features_dict=house_dict) # Optional parameter, dict specifies label for features name "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Backend: Shap TreeExplainer\n"
     ]
    }
   ],
   "source": [
    "xpl.compile(\n",
    "    x=Xtest,\n",
    "    model=regressor,\n",
    "    preprocessing=encoder, # Optional: compile step can use inverse_transform method\n",
    "    y_pred=y_pred # Optional\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Filter method\n",
    "Use the filter method to specify how to summarize local explainability <br />\n",
    "you have 4 parameters to customize your summary: <br />\n",
    "- max_contrib : maximum number of criteria to display\n",
    "- threshold : minimum value of the contribution (in absolute value) necessary to display a criterion\n",
    "- positive : display only positive contribution? Negative?(default None)\n",
    "- features_to_hide : list of features you don't want to display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "xpl.filter(max_contrib=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Local_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.plot.local_plot(index=268)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Threshold parameter to focus on significant contributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.filter(max_contrib=5,threshold=10000)\n",
    "xpl.plot.local_plot(index=268)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Don't display hidden contributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GceV+m5V+HgVNL7jlm/Xg33//rfzyC9UB66WffMKrfhLZWJcpmVF2WnKhF8P0UpTmZJUUK6sYXxKriyCqblcyH5uOwxprrBG2oxsY1RpHudcx14t9asWUNKguWhKrpmna8tV9Jss9JG56wbAu46kp7vRoPvmSZbKfYr3Ql5LUlOFVrbXiOFkOkFx3MnYaQnhVs6u67mRmV+edbiqSmd24D8lyI/0sWQKj/6usIXnzpmuGbkaTX1SRrKPXMrlZ43xlTA19LWN9EMgyAYQ3y0eXsaVCoFjh1U5prk/NryrhVJY3t+kxqF5QUzZwq622Cm/eJ+s88z2yVsZI05xpGjPV5ko+4mPWfOKY/JBOzkIwK4Q3OWuFXuzRTYFe/NLj43vuuadKCUQUNE1VJpHIbck5UZV5U01zPuHVo+RYlyu50Z+kJCYz8cmMXV0EMdZsS6olNtr3ZItlEPpZsi65GOF95plnKudx1dzGCy20UDU2ya8qji9/1WU8pTqxahJeybK46AZEZTO5LVnOUV/h1bmn0oLHH3+8cjOKSQlobp137KBzWed0bMn67XzyqhsSZeGPPfbYymVyp4vTPiTLGvLVq5fqOLBeCGSRAMKbxaPKmFIlUBfhjeUK2lE9Tk/OtaufJTOC8W3wpKDp8WmcsSEONrmMagAlrpLemmozJdESBbXk/K+zQniTsxToxSq9cBdnP1CGNjnZf/Ilq3wirymcJMlqYqYXi/IJr15yii8MRjFOBk5SDvXikDLuasUKosailwjVtttuO9OxT7YpU6aEGs9YU52cxSGZGUxmbfPN0qCMfs+ePcOqk19iELel/dDP4zR1kimxKXY8pTy5ahJe3SQou5rvfEmOS7+vr/BqLmhNE5hs/fr1y3sDoSx9u3btQlc9LUjWfUuQlcnXDZhmAIlfZhFLkvSSqWbNiE1PFnQezjfffOFmL1nqVJe6/VIeJ9YNgXIkgPCW41Fjn2crAknh1Vyf+TJrcYc1/+xSSy0VXliKcqIPOgldp06dKiVNGa34hQuq/9M0Vso86VGpPlRVp6msrN4E14tQEjvV+OpDNWaXNOWYXvpSSwqtMsF62StOi6bfJ+sr6yO8+mDXG+yFmvZfH/xqScFIfkNVUmw14X+Ug+TPJQLiEF+GkuhKeNWSL/rkE15l8FQTqibhVLZXb8Iru/zss89WKUHQy3Txm7zqIojx62o1bu1jnIdYmW2tVwIbm0Q7/l5SqkxfPIb6AgMJkeQ33zy8yZsYfaGGpkhT1lrHXPGgmnA1/U5fzqFWl/EUOr51/X1Nwqufa+5inROKG5X36OUuxb5qY5MvByaFd8KECZXT+6kmPL4sWtv+5YprbX31BCXOuqG5rfWEJdmUGY7flBd/rv3t1q1b+G/y64jj73X+JGeEyI3lurJlOQg0dgIIb2OPAMZfbwK1vaiTu/KkOCWniFI/fTiqdjC+1CSZk5gmBVrZOT0ej3W5ejQuyU1+21h8VK0PTX2gxqa+koT4ApsyvzHrlBTN+givF2asQ9YXCUgG1SStqkONc5RK0iQ5ynapKdupMeR+8UNkJ3mM41H2W5IcSxTyCa9eStIXEcRl4tcti1vkGRklXxSsiyDmHmvd5GgqtpjV1bGOx13zucaMsOqLk/P8aqy6ifnpp5/yCq/Gojma4xdMaExinaxFzf3a27qMx3uci+1X2zetSWRVdhKb4kXjzP2mvfp801pyrmvPvieFVzekuqmITxfyLa+4TL7cpuOoGI8xmG8ZxYq+gY1pyTxHhD4QqJkAwkt0QKCeBJJZuEKrUp1fzNipr+ZOVXY1mQWSZGn+WWVzc2s9tYw+JJXJy30TX9krfUmDxDk21XUqe5w7M4Ayf8oQ6gUjiWTyRbiLLroofC1ufFmu0JiSL0IV6ht/r32UGMSp1/RzSaGy08mWlHa9UKYShqSgKWuXfPtdy+otftVG6qW82JLlHnpDPkq1hFMZ4dxZLPRylR5ja/vx8bZubHTDEGdDyK3TjNuSsOqFsOTv9dhdU5XFL5+IfSWkmklC4q1abYmP3s7XtmPTulR+EcVOx0zLxfpjyXx8rK5lVCKhlxBzp0TT0wBtI1lrqv51GY/3OBfbTxlZlX2o1VS2o+xuMp4Vp8kvYkkKb3Kuac9XCydrgT37Hl/8S/ZV3bVqspMSq+OlmFSZQu7LhCptUMlGnMYsuS7dnKicJneuZ8++0QcCEKhKAOElIiAwGxDQC1KaA1alC3rJytM0n6+W0WwDEtbcb++K69BjX2WuJMoSNmWM9e1j5dpyM5Ian24Y9LfY5X4RRaFxKjOnb7vSF1BodgSxbNmyZaHF6vR7Za21HWWXY8bdsyIJsyRP4lTTcc5dj5aRQEq8lA3NijTpOCsT/Pvvv4fyoLZt23oQpt5H55v2U+ebSlQKfVuaYkPHS7GomSC0HFnd1A8bG8wwAYQ3wweXoUEgiwQKPYLP4pgZEwQgAAEI1I8Awls/fiwNAQikTADhTRk4m4MABCCQAQIIbwYOIkOAQGMigPA2pqPNWCEAAQg0DAGEt2E4shYIQCAlAnop6JFHHgm1tnGqsJQ2zWYgAAEIQKBMCSC8ZXrg2G0IQAACEIAABCAAAR8BhNfHiV4QgAAEIAABCEAAAmVKAOEt0wPHbkMAAhCAAAQgAAEI+AggvD5O9IIABCAAAQhAAAIQKFMCCG+ZHjh2GwIQgAAEIAABCEDARwDh9XGiFwQgAAEIQAACEIBAmRJAeMv0wLHbEIAABCAAAQhAAAI+AgivjxO9IAABCEAAAhCAAATKlADCW6YHjt2GAAQgAAEIQAACEPARQHh9nOgFAQhAAAIQgAAEIFCmBBDeMj1w7DYEIAABCEAAAhCAgI8AwuvjRC8IQAACEIAABCAAgTIlgPCW6YFjtyEAAQhAAAIQgAAEfAQQXh8nekEAAhCAAAQgAAEIlCkBhLdMDxy7DQEIQAACEIAABCDgI4Dw+jjRCwIQgAAEIAABCECgTAkgvGV64NhtCECgfAlMnz497Hzz5s2rDKKiosKaNGnSYAOrbX0zZ860pk2bFtxWQ+9TwQ3SAQIQgEAJCCC8JYDKKiEAgdITmDBhgm233XZVNjT//PPbbrvtZvvvv3+9dmDYsGE2efJkO+GEE2y99dazUaNG2RJLLJF3nZLX66+/3nbffXebe+65C253/Pjxtueee9qyyy4bllP7888/7cILL7SHHnrI2rdvb/vuu6/ts88+9uabb9opp5xSbZ19+/a1Hj16hOXvvvvuyt+3aNHCHnjggRrXJ5l+7rnnwra+++4769y5s5122mm26KKLVtvGN998YwMHDrR333037Ovpp59uK6ywQsHx0QECEIDA7EgA4Z0djwr7BAEIFCQQhfe2226zBRdc0CSeH374oR1zzDF20UUXWffu3Quuo6YOV1xxhf3xxx928skn29tvvx1Eb84558zb/ffff7dNN93UHnvsMZtvvvlq3KYyqk8//bRdeumlQTZXX331SuEdPHiw3X///bbffvvZBx98YK+++qqde+65tuSSS9odd9xRuc7HH3/c/v77b7vqqqtsnXXWsT59+gQh3WyzzUIfCe2gQYOspvWtuOKK1rNnzyCw2uerr77aFltssSDNudnmAw88MIxdPK+55hrr0KGD3XPPPdasWbM6c2VBCEAAArOKAMI7q8izXQhAoF4EovCOGTMmCG9s22+/ve2yyy62xhpr2E033RTE9YcffrARI0bYp59+apdddlkQTgmjhLZjx46mx/bK6t53331B7Oadd15bZJFF7MQTTwzr0u86depkL730kl177bWm7Kck88gjjwzrePHFF23hhRcOAnnDDTeE/ZEwJttPP/1kW221lXXt2jVkWZPCu/XWW9u0adPsiSeeCPuobPEGG2xgEu/Y3n///ZD5Peyww+zQQw8N+9ytW7cgrxJfZbclr2o1rW+bbbYJGV39kfiedNJJYZvKFGt/Yvv+++9DBln9zzzzTLvkkkvs1ltvDX8kzTQIQAAC5UYA4S23I8b+QgACgUCu8Epsn3nmGTvjjDNCCcLEiROtd+/eJgFefvnlg2jq3xJGlSlIXCWxAwYMsHvvvTdIrcoHJKbnn3++7bTTTkF4Y0mDMqA77LCDHXLIIUE0lYHVOjfccMMgosqCrrbaaqGkoF27drb55ptXOVLav5dfftm22GKLUEqQFN7jjjvOxo0bZy+88IJ98cUXoZxB8qr9ik0CLRlWllfZZkn8tttuW2Ubxx9/fCiXqGl955xzju29995BkA866KCQvZV8a7zJ/VXWWGUhGtfRRx9tt9xyiw0dOjT80ZhpEIAABMqNAMJbbkeM/YUABKoIby6OXr16BXF95ZVXgvBKIiWIkjZlfJWl1KP/r776KtToSpIliBJMCaPawQcfbEsttVQV4dXj/csvvzwIp5b//PPP7eeffw7lDp6ShuR+5grvww8/HLKuq666qv36668hA61aXmVf1VSqIVGVzMZ91M+0jDLR2r4y1//++28om1B5Rb71ad+VtdXNQMw0a/0qg9DNQGwSc0mxJFv1wrfffnsoEzn77LNDlpoGAQhAoNwIILzldsTYXwhAoIrwKjupMoSWLVuGUgKVI6hJeJW9jdIoYZO45bY777wzSKTKBPQYX01iq5fWkhlevVAmSR4yZEiVVXhreGsTXpUzXHnllUG+JZ4qZVCpgvZN7brrrrPhw4fXWlIQyw5iprmm9Sl7q76tW7cOfyTBuZlb1REryyzJPvbYY+3GG28MTLRfKrWgQQACECg3AghvuR0x9hcCEKgivLk1vBFPrvAqi3rzzTdXSqQk87PPPrNlllkmPLZXpvaoo44Ki6u2VWUJSeFVX5U9xDIDZXhff/1123LLLeud4f3oo49CKcN//vOfUKqg0gllbTWbgpoy0W+99ValvOtnEtexY8eGEgnVK6tcQaUceslNL8jlW58yudpn1S2vtNJKofxDJRgSawl2bLFcYuONN7aLL744ZHZHjx5drR+hCAEIQKBcCCC85XKk2E8IQKAKgZpeWqtJeH/77bfwopnEcJNNNglZS2Vt77rrLhs5cmSQRZUFTJkyJWR79eJXUniVOdZyyoaqJEFTdulFNZVNqI5XNcGq4ZVQtmrVKpQn1NRySxpUaqFtq25YL6dJgJNZV9XXqsRC2dvY4vhViqEyBcn8HHPMETK2+ne+9Wm7EvQ2bdoEuVZ5h0RfM118+eWXQfxVEqL6XWV4lekVC21XY9VLfZ65ewlVCEAAArMbAYR3djsi7A8EIOAiUEh4NbWXZlCIJQ1aaXz5Sv9WRlOZ07XXXjtMaaaaV9W+qklW9aJbv379qszDK5HUtGJqXbp0CdKrbGmcwkszQWiWBtXValmv8OqFNu2LZFlNkqmX4ySX+p1Ee8cdd7RTTz21yiol65JW1fxqloYLLrgg7Htt69P0ZyrL0PRmmvZMWWT9HWeHiC+qSXaV8Z40aVIQeGV6NbMFDQIQgEA5EkB4y/Gosc8QgECdCUhu9UUP88wzT7V16OfKkuoLHGpqWl6ymPslE8oMzzXXXHXeLy2oemDJZW3bz7cBSalecsttNa1PY1CNcr5lkuvQ1Ge//PJL6Mf8u/U6tCwMAQjMYgII7yw+AGweAhCAAAQgAAEIQKC0BBDe0vJl7RCAAAQgAAEIQAACs5gAwjuLDwCbhwAEIAABCEAAAhAoLQGEt7R8WTsEIAABCEAAAhCAwCwmgPDO4gPA5iEAAQhAAAIQgAAESksA4S0tX9YOAQhAAAIQgAAEIDCLCSC8s/gAsHkIQAACEIAABCAAgdISQHhLy5e1QwACEIAABCAAAQjMYgII7yw+AGweAhCAAAQgAAEIQKC0BBDe0vJl7RCAAAQgAAEIQAACs5gAwjuLDwCbhwAEIAABCEAAAhAoLQGEt7R8WTsEIAABCEAAAhCAwCwmgPDO4gPA5iEAAQhAAAIQgAAESksA4S0tX/TLklYAACAASURBVNYOAQhAAAIQgAAEIDCLCSC8s/gAsHkIQAACEIAABCAAgdISQHhLy5e1QwACEIAABCAAAQjMYgII7yw+AGweAhCAAAQgAAEIQKC0BBDe0vJl7RCAAAQgAAEIQAACs5gAwjuLDwCbhwAE/j+Bv//+25o1a2ZzzDEHSP6PwMyZM23y5MnWrl07mCQIDB482Lp3727dunWDy/8RmD59uk2ZMsXatm0LkwSBP/74w1q1amXNmzeHy/8RmDp1qk2bNs1at27dqJggvI3qcDNYCMy+BBDe6scG4c0frwhvdS4Ib/5YQXirc0F4Z9/PQfYMAhBoBAQQXoTXG+YIL8LrjRWEF+GNBMjwes8a+kEAAiUlgPAivN4AQ3gRXm+sILwIL8LrPVvoBwEIpEIA4UV4vYGG8CK83lhBeBFehNd7ttAPAhBIhQDCi/B6Aw3hRXi9sYLwIrwIr/dsoR8EIJAKAYQX4fUGGsKL8HpjBeFFeBFe79lCPwhAIBUCCC/C6w00hBfh9cYKwovwIrzes4V+EIBAKgQQXoTXG2gIL8LrjRWEF+FFeL1nC/0gAIFUCCC8CK830Ab072MLtBlvnRbq6F0k8/0qKipsxowZfMFCzpHW/MT6QpsmTZpkPga8A5w5s8JmVsy05s2aeRcp2E9zhs+70Lq2RY8+BfvOqg5MSzaryLNdCECgCgGEF+H1nhID+u1tB3S52zrNO9W7CP0gAIESEpg2vYk9/V1v23HfYSXcSv1WjfDWjx9LQwACDUQA4UV4vaGE8HpJ0Q8C6RBAeNPhzFYgAIEMEEB4EV5vGCO8XlL0g0A6BBDedDizFQhAIAMEEF6E1xvGCK+XFP0gkA4BhDcdzmwFAhDIAAGEF+H1hjHC6yVFPwikQwDhTYczW4EABDJAAOFFeL1hjPB6SdEPAukQQHjT4cxWIACBDBBAeBFebxgjvF5S9INAOgQQ3nQ4sxUIQCADBBBehNcbxgivlxT9IJAOAYQ3Hc5sBQIQyAABhBfh9YYxwuslRT8IpEMA4U2HM1uBAAQyQADhRXi9YYzweknRDwLpEEB40+HMViAAgQwQQHgRXm8YI7xeUvSDQDoEEN50OLMVCEAgAwQQXoTXG8YIr5cU/SCQDgGENx3ObAUCEMgAAYQX4fWGMcLrJUU/CKRDAOFNhzNbgQAEMkAA4UV4vWGM8HpJ0Q8C6RBAeNPhzFYgAIEMEEB4EV5vGCO8XlL0g0A6BBDedDizFQhAIAMEEF6E1xvGCK+XFP0gkA4BhDcdzmwFAhDIAAGEF+H1hjHC6yVFPwikQwDhTYczW4EABDJAAOFFeL1hjPB6SdEPAukQQHjT4cxWIACBDBBAeBFebxgjvF5S9INAOgQQ3nQ4sxUIQCADBBBehNcbxgivlxT9IJAOAYQ3Hc5sBQIQyAABhBfh9YYxwuslRT8IpEMA4U2HM1uBAAQyQADhRXi9YYzweknRDwLpEEB40+HMViAAgQwQQHgRXm8YI7xeUvSDQDoEEN50OLMVCEAgAwQQXoTXG8YIr5cU/SCQDgGENx3Os2QrkydPNv1p3769zTXXXLNkHwptdObMmTZ27NjQrUuXLjbPPPNUW+T555+3P/74w1ZeeWVbfPHF7Z133rFvv/3WOnToYOuuu26hTdhTTz1l//zzjy2//PK29NJLF+xPh9mDgGLj/ffft48//tgWXHBB22ijjWb5jiG8CK83CBFeLyn6QSAdAghvOpxT28q0adPshhtusPvuu8/079g6depkBx10kHXr1i21ffFsaOrUqbbtttuGrpdeeqmttNJK1RbbY4897Oeff7ZDDz3UdtllFzv99NPthRdesGWXXdauvPLKgpvp2bOn/fXXX7bnnnvaAQccULA/HWY9AcnuzjvvHG7Y1Oadd14bOXJkvXZMNz733HOPLbHEEnbiiSfWaV0IL8LrDRyE10uKfhBIhwDCmw7n1LZy1FFH2Ycffhi2p2ypMqJffPFFEIeNN97YTj311NT2xbOhugjvu+++W5nhXWeddQpuZty4cSZRUYZ3qaWWKtifDrOewCuvvGKnnHKKNW3a1M4991ybY445Qoa/Pu22226zG2+8MWSLb7nlljqtCuFFeL2Bg/B6SdEPAukQQHjT4ZzKVvTo/4wzzgjb2mGHHaxv377WpEkTq6iosMcee8y+/vrrkCXVB7/+37lzZ5t//vntiSeeCD9fe+217e6777bRo0fbr7/+aq1btw6PkXv37h3+/eKLL9rVV18dsm2XXHJJ2M7xxx8fsq+HHXZYKEmQUI8fPz6UGkhMv/zyS1trrbXCOhZbbLGwjAT0qquuCttYaKGF7Lvvvgs/92Z44/5rG8pYDxkyJCw/dOjQUL4h4T/vvPPCzy6//HK74IILwj7tt99+tummm1aOf8kllwxsXn31VVtkkUXswAMPtPXXXz8s995779nFF18c9k3jnXvuuUNZxO67725bb711teP5+OOP23XXXWe//fabKTvZtm1b22yzzcIxUKuJucYwZswYu/32223ixInWokWLsA/HHntsWIf2/8knnwwZasmfyjj23Xdf23LLLfPG1O+//x6ymBLGr776KpSyKGt+zjnnhP2S8D3wwAM2ZcoUW2aZZezPP/8M29S+//LLL3bccceF9V500UVhW/r5c889FzjrCUGpxpkczJtvvhniWGNWSz6dUExdccUVYWxqKlHp16+f6Viq1fR7HZeBAweGYxjXqScE+W4A9XTk3nvvtYUXXjhwSzaEt3rYKa50Q92uXbu8MdlYf4jwNtYjz7hnVwII7+x6ZOqwX5LQhx9+OIiR/m7WrFnetUgQH3300Sq/O/nkk23ChAl20003hZ+vttpqQRxVFrHKKqsEwZWYSSrnnHNOe/DBB0O/WC4gQdtmm20slh/od9oPfRiqSTS1Da1TWejYlG374Ycfwn+9whv3f80117Szzz7bevToEbYjqe7Vq1fYV41f2VwJem5JRL7xa/vKiEv4JX4qf4j7LuESGzXJ5j777FON64gRIwITSaTqjSX6aspO6kaiJuaTJk0K8i/p7N69u/33v/8N8rDeeuvZWWedZYcffrhJYhdddNFww6KbBHEdNWqUtWnTptp+xAy/blB03LSM+EpUY4ZTC+kYapuxZEC/V784NsWBxh3LR3TjM2jQICvVOJMDkfDmyqlkWwIqHmp6WiHp1fh0Y6Byh2+++abG3yv2Bg8e7BLea665JsRBvjIKhBfh9V6aEV4vKfpBIB0CCG86nFPZygknnGBvv/12pbhJ9pTtiy1KVJQvfaArq6nHxSussIIdcsghQQh22203O/jgg03iEWsd9Qj49ddfdwvvTjvtFORDMic5k4ApcyaJU4ZX/7/11lutZcuWRdfwJoVX2Vv9kbAp2zd8+HDbcccdQ3YwV8JjDXBcXv2HDRsWxikhUpPoKTuqn6tJ8JSZ3n///UO2tybhFTdlTfVCnTK1N998c2AZy0hqYi5G2lf169q1q7322mvhJT5JrW5KtE5l0HWjIOmWtKopE5sv06ybDt2kaGw6BioDkDCvuOKK4WZAgqvMvm4UlNk+7bTTwvq8wluqceaeIIoZxU5SOiWsyjZLfFWLrRuLyy67LCyq43XnnXfW+nuN11PSoIy62Ovpg2Io2RBehNd7MUd4vaToB4F0CCC86XBOZSvJLKLE7aWXXgrlCRIwtVzhVYZUsqgmSZIsqUmC9AhbciRJUlOm8scff3QLb5RLlU5ceOGFlQKnnyv7GUWwLjW8ucL70Ucf2ZFHHhn2UxlJ/ZEwSrD1SL+mDG8cvzK6KlVQ002CZEfclDnU32qFhFfbipKcPNi1MU+OPV+A3H///eH46AW93HbEEUeEspXcFm8wkj9XdlbHNJZBRFlWNrkm4ZUYSixzM7ylGKdKLHJnEcknvLoJU0Y3X1MJxPXXX1/r7xV3HuGt7WRFeBFe78Uc4fWSoh8E0iGA8KbDOZWtKEsXBXaLLbYwSVGrVq1CFlc1rLXJl3ZQQqTH+Mo6KjsoQZCgql177bUmsVRtp5qykCqZqKmkIQqv3oyXLMeMZTK7KjlrCOHV/kSp1WN6yXvyBb1Cwqv6Ts3+EIX3jTfeCOKrphkvlOnbe++9Q6Y1X4ZXzJRt1d8qhVBf1f+qNroQ85iR1d86TrHp5kIt1gDruK6xxhpBzFXWUJPw6uZGyz777LMhgxvro8Va9aoag9ahEoFc4dWye+21V9iuykJUEpEUXslxKca53HLLVTs/8glv//79w1MGlVrEzK4WVFlIx44d7cwzz6z195J1Ca/q1mOmPN+JqTrgt956K9SDq1wm2RBehNd7MUd4vaToB4F0CCC86XBOZSt6AUsvj8X6UW1UWUy9gCUJLCRfElMJqqRx1113taeffjo8RtfLSxIECVGs8ZQ0qMXscU3lA7nCq6yz6jPVVGM7Y8aMyqxcXWp4o+DfcccdIcMXm4Rz1VVXDf8tVnh1k5Cs003WItckvMqEqzRB5QIqH1ApiR7/F2Ie6421n6qbFhPdWHz++efhkb7EVE3rnz59enjhTC2f8Eq4ddOywQYbhHVprmLVXatJ3PUiVlx+9dVXr5y9Q7/XzZJavIFRja/EUjN8qMUscSnGqXrr3JZPeCXxklo1vaSmMXz//ff28ssvhxsUjbe236sEQi+4qW2//fah9CdfPTY1vMVdrnhpLT8vhLe4OKI3BEpNAOEtNeGU16+aT31gSyLiS1faBdVCKnunD/rckoC4ixI2Sa8EIjY91lbtZJxhIUqxfi8504tD2o5XeCXemtkhTp2m7N4nn3wSNlcf4U1maePLZ3EMxQqvxiUGqt+V0Gsf401DzH7nHlbx1uwBGp9uGPTGurKpkk/xq4m5+msu4YceeqjKKiXNymImy1R046HsrnirhEPHMtn0c41VfWLTy276mTL+unmRKMcX1TRlXSwRiMKrLKjiR/ulOmv9EQPVF+tGpVTjzOWpUhLVY+e+OCZh19OGONtCjG3NZqGbsNp+ryywxh/jTePXLBS5Teu/6667wo2ebqSSjQxv9Qsawovwpvwxx+YgUCcCCG+dsJXHQqpNlQAvsMACQcK8TcsocybZyPfNZxImZRv1yLeuTTLYvHnzvOuv6zobcjm9pCfZl0RJziWBahJQZRbzNTERN2VGa5oho6Z9lDT89NNPQTTnm2++KjWtmjpMfzSjhadJysRXgpdbG6unABJfHVu94Jis4Y3r1ji0fE3bK9U4PWOLffQinv4oPjVlXG6r7ff6nUppFL+KwWIawovweuOFDK+XFP0gkA4BhDcdzmylzAhopopkplS7H8sTymwoNe5ubg1vVsZVynEgvAivN74QXi8p+kEgHQIIbzqc2UqZEdCLS6qjVTZbszXoSwrq+01fsxsClSroy0pUo6zaXVphAggvwls4Sv5/D4TXS4p+EEiHAMKbDme2AgEIZIAAwovwesMY4fWSoh8E0iGA8KbDma1AAAIZIIDwIrzeMEZ4vaToB4F0CCC86XBmKxCAQAYIILwIrzeMEV4vKfpBIB0CCG86nNkKBCDQAAQ0m4VeJqxtho84HZ9qk3ObZsHQbBiafSN3hgbNPqG6Zs1goXmI8zWEF+H1hjHC6yVFPwikQwDhTYczW4EABOpJ4MUXXzR9hXAUWs0xrPmf4xeMaPWadm3QoEFhS5r/ONk05+7IkSMrf9S7d+/Kr86OXzYRf6lvmdN6cqflQ3gRXm8YI7xeUvSDQDoEEN50OLMVCECgngT0LX362uTu3buHL57Qt6pJcPXFHWqPPPKI6QsolMWNX/gRNzlu3Dg766yz7MQTT7RNN93UHnzwQRs2bFj4Nrull146iLC+XEVf36yv4T7mmGNs5513rvJ1z1oXwovwesMY4fWSoh8E0iGA8KbDma1AAAINTEDfCidpHTt2bPiiD8movj5YXyutkoRkhlffEPjOO+9U+ea0XXbZxbbddlvbf//9q+3Zqaeeaj/88EO1b2JDeBFebxgjvF5S9INAOgQQ3nQ4sxUIQKCBCfTv3z98NXLu1/+q7GHGjBlVhPeSSy6x1157zW677bbKvTjqqKNsoYUWspNPPrnKnilD3KtXL9t4443thBNOqPI7hBfh9YYxwuslRT8IpEMA4U2HM1uBAAQakEDM7kpuu3TpUmXN+YT3rbfesn79+tmGG25o66+/vn3zzTc2atSoUB6RFF6VSOjrll999VXT10vr5bZkQ3gRXm8YI7xeUvSDQDoEEN50OLMVCECggQjEetyDDz7Y9BXQuS2f8KqPXnq766677M8//wx1u0899ZTttddeVUoaLrvsMhszZowNGTKkystwcRsIL8LrDWOE10uKfhBIhwDCmw5ntgIBCDQAgYcffthUntC3b98avw65JuFNbl4Z3AEDBtjQoUPDV0Zr5ofzzz/fnnnmmVADXNPXSCO8CK83jBFeLyn6QSAdAghvOpzZCgQgUE8Co0ePtuHDh4esrGZaiE3z5rZp0ybU7ar+VrMxSGAHDhxoLVu2tDgfr15Ca926tT3++OOh7lf1u8roqkl+JcF6WW3JJZesXLf6tGjRovL/CC/C6w1jhNdLin4QSIcAwpsOZ7YCAQjUk4Ayt88//3y1tRx++OG200472Z133mkjRoyo8vvDDjssTC+mJlHWF0tIgLt27RpeSItfMNGzZ0/766+/qq1b8/MmBRjhRXi9YYzweknRDwLpEEB40+HMViAAgVlMYNKkSTZlypSQ2W3SpEmd9gbhRXi9gYPweknRDwLpEEB40+HMViAAgQwQQHgRXm8YI7xeUvSDQDoEEN50OLMVCEAgAwQQXoTXG8YIr5cU/SCQDgGENx3ObAUCEMgAAYQX4fWGMcLrJUU/CKRDAOFNhzNbgQAEMkAA4UV4vWGM8HpJ0Q8C6RBAeNPhzFYgAIEMEEB4EV5vGCO8XlL0g0A6BBDedDizFQhAIAMEEF6E1xvGCK+XFP0gkA4BhDcdzmwFAhDIAAGEF+H1hjHC6yVFPwikQwDhTYczW4EABDJAAOFFeL1hjPB6SdEPAukQQHjT4cxWIACBDBBAeBFebxgjvF5S9INAOgQQ3nQ4sxUIQCADBBBehNcbxgivlxT9IJAOAYQ3Hc5sBQIQyAABhBfh9YYxwuslRT8IpEMA4U2HM1uBAAQyQADhRXi9YYzweknRDwLpEEB40+HMViAAgQwQQHgRXm8YI7xeUvSDQDoEEN50OLMVCEAgAwQQXoTXG8YIr5cU/SCQDgGENx3ObAUCEMgAAYQX4fWGMcLrJUU/CKRDAOFNhzNbgQAEMkAA4UV4vWGM8HpJ0Q8C6RBAeNPhzFYgAIEMEEB4EV5vGCO8XlL0g0A6BBDedDizFQhAIAMEEF6E1xvGCK+XFP0gkA4BhDcdzmwFAhDIAAGEF+H1hjHC6yVFPwikQwDhTYczW4EABDJAAOFFeL1hjPB6SdEPAukQQHjT4cxWIACBDBBAeBFebxgjvF5S9INAOgQQ3nQ4sxUIQCADBBBehNcbxgivlxT9IJAOAYQ3Hc5sBQIQyAABhBfh9YYxwuslRT8IpEMA4U2HM1uBAAQyQADhRXi9YYzweknRDwLpEEB40+HMViAAgQwQQHgRXm8YD+jfxxZoM946LdTRu0jm+1VUVNiMGTOsefPmmR9rMQOcPn26NWvWzJo0aVLMYpnuO3Nmhc2smGnNmzVrsHFqne0XWsf+06NPg62zoVfUpEJnCQ0CEIDALCaA8CK83hAcPHiwde/e3bp16+ZdJPP9JHZTpkyxtm3bZn6sxQzwjz/+sFatWnEjkIA2depUmzZtmrVu3boYlGXfF+Et+0PIACCQDQIIL8LrjWSEtzophDd/9CC81bkgvN4rDf0gAAEIlIAAwovwesMK4UV4vbGC8CK8kQAZXu9ZQz8IQKCkBBBehNcbYAgvwuuNFYQX4UV4vWcL/SAAgVQIILwIrzfQEF6E1xsrCC/Ci/B6zxb6QQACqRBAeBFeb6AhvAivN1YQXoQX4fWeLfSDAARSIYDwIrzeQEN4EV5vrCC8CC/C6z1b6AcBCKRCAOFFeL2BhvAivN5YQXgRXoTXe7bQDwIQSIUAwovwegMN4UV4vbGC8CK8CK/3bKEfBCCQCgGEF+H1BhrCi/B6YwXhRXgRXu/ZQj8IQCAVAggvwusNNIQX4fXGCsKL8CK83rOFfhCAQCoEEF6E1xtoCC/C640VhBfhRXi9Zwv9IACBVAggvAivN9AQXoTXGysIL8KL8HrPFvpBAAKpEEB4EV5voCG8CK83VhBehBfh9Z4t9IMABFIhgPAivN5AQ3gRXm+sILwIL8LrPVvoBwEIpEIA4UV4vYGG8CK83lhBeBFehNd7ttAPAhBIhQDCi/B6Aw3hRXi9sYLwIrwIr/dsoR8EIJAKAYQX4fUGGsKL8HpjBeFFeBFe79lCPwhAIBUCCC/C6w20Af372AJtxlunhTp6F8l8v4qKCpsxY4Y1b94871j//me6ddvyBFtymdUyzyI5QIQX4UV4G9Upz2AhMPsTQHgRXm+UDui3tx3Q5W7rNO9U7yKNvt/XE+e0KYuNts7rbd2oWCC8CC/C26hOeQYLgdmfAMKL8HqjFOH1kvpfP4Q3f+a7eJLlv8TUqVNt2rRp1rp16/IfTBEjaFKh5yA0CEAAArOYAMKL8HpDEOH1kkJ4yfCS4SXDW/z1giUgAIESEkB4EV5veCG8XlIIL8KL8CK8xV8vWAICECghAYQX4fWGF8LrJYXwIrwIL8Jb/PWCJSAAgRISQHgRXm94IbxeUggvwovwIrzFXy9YAgIQKCEBhBfh9YYXwuslhfAivAgvwlv89YIlIACBEhJAeBFeb3ghvF5SCC/Ci/AivMVfL1gCAhAoIQGEF+H1hhfC6yWF8CK8CC/CW/z1giUgAIESEkB4EV5veCG8XlIIL8KL8CK8xV8vWAICECghAYQX4fWGF8LrJYXwIrwIL8Jb/PWCJSAAgRISQHgRXm94IbxeUggvwovwIrzFXy9YAgIQKCEBhBfh9YYXwuslhfAivAgvwlv89YIlIACBEhJAeBFeb3ghvF5SCC/Ci/AivMVfL1gCAhAoIQGEF+H1hhfC6yWF8CK8CC/CW/z1giUgAIESEkB4EV5veCG8XlIIL8KL8CK8xV8vWAICECghAYQX4fWGF8LrJYXwIrwIL8Jb/PWCJSAAgRISQHgRXm94IbxeUggvwovwIrzFXy9YAgIQKCEBhBfh9YYXwuslhfAivAgvwlv89YIlIACBEhJAeBFeb3ghvF5SCC/Ci/AivMVfL1gCAhAoIQGEF+H1hhfC6yWF8CK8CC/CW/z1giUgAIESEkB4EV5veCG8XlIIL8KL8CK8xV8vWAICECghAYQX4fWGF8LrJYXwIrwIL8Jb/PWCJSAAgRISQHgRXm94IbxeUggvwovwIrzFXy9Y4v8ITJs2zR5//PHwv65du1rbtm3DvydNmmQvv/yy/fPPP9alSxebf/75qzB7/vnnTReflVde2RZffPEG4VnTvjTIyvOs5Mcff7TXX3/dWrRoYVtssUWpNjNbrnfmzJk2duzYsG86vvPMM0+D7ifCi/B6Awrh9ZJCeBFehBfhLf56UfZLfPTRR3bkkUeGcVx11VW29NJLh3+ffvrp9sILL9hSSy1lV199dcFx6gKy0047hX7qr+Uefvhhu+SSSyqXPfnkk23TTTetsq499tjDfv75Zzv00ENtl112Kbid3A5PPfWU3XPPPbbEEkvYiSeeGH6db1+KXnERCzzzzDN29tlnW9OmTe3RRx8tYsny7zp16lTbdtttw0AuvfRSW2mllRp0UAgvwusNKITXSwrhRXgRXoS3+OtF2S9Rk/AOGjTIXnzxRVtyySXtmmuuKTjOfJLZp08f+/TTT6179+7Ws2dPW3DBBW2++eZrUOG97bbb7MYbbwzrvuWWWxDegkeqYTsgvA3L07M2ZdUnT55s7dq183RvNH0Q3uIP9dcT57Qpi422zuttXfzCZbwEwovwIrxlfALXddeLEd7DDz/cvvvuu1CeoMf3iy66qB1zzDG24oorVsuqXn/99aGUQU3lDYsttpgNHTq02m7GDO96661nP/zwg40fPz6UNgwcONAWWWSRUCZx3XXX2W+//Wb6oNe6NttsM+vbt6+9+eaboZ/2R61Tp0627LLL2lFHHVWZbe7Vq5c9++yz9vvvv4flJOFzzTVX+L8yw6+88op99dVX4WfKTp5zzjnV9lG/1w3ATz/9ZCqXmHPOOW2VVVaxk046KTzCT2Z4le2MpR3a9gEHHBDW9+eff4YMuko4/vrrL5t33nlNv1dW+/3337chQ4aEfmLUvn17+/DDD+28884LP7v88sutZcuWNmLECHvyySeD7LRu3TrcROy3337WpEmTavusrLnWKUZaVvy1D6uttpodf/zx9sYbb4SMrNaz9957m24c1llnnXBzUttYtaFx48aFsfz666+20EILhZhQixneiRMn2mWXXWZvv/12ODYqYznssMOsW7duecP0vvvus3vvvdcWXnjhavzJ8FZHhvDmv9ohvMV/CiC8zYuHltEllLzQ55s+ExpTa1JRUVHRmAbcmMeaFF4JR6tWrQIOSZ6CP5nhVX2qZFSS9/HHHweZib/PzfDmCq/kVRKU26LwRjGWzKmtvfbadu655wbJe/DBB22ZZZYJUv3ll1+G3+t3zZo1Kyi86qtSA0mCmsoeNA5JsaRSJ7fk9euvvw7CHWU1uZ8SNy233HLLhR9/8sknYX0777xzELkovPqdbgRmzJhRub1rr702lFvE7en3ukF45513wrokxJLeHj16hGV69+4dRFilICoJiSUl/fv3D3XCkkftr7ap/kcccYTtsMMOVbDq9NV6o4h26NAhCL6Op7at45Dc57iwuGy55Za1jlXMNJbYlFkXNzUJr+Jh9N5yvAAAIABJREFUr732ClKu/RTfeOMTWeTGgJ4g3H333eEmYOTIkVV+jfBWvzohvPmv2Ahv8Z9kCC/CG6MG4S3+/GGJMiOQFN58u54U3ilTptiECRNMyyhzqEyfmrKDynrm1vBus802QbLy1e7GbUXhlaDtueeedscdd5hkWWI4ZswY+/fff03blSAqc3jzzTcH0d54443t1FNPDduuraRBYty5c+cgppLlDTfcMNQnx31TzbL2Wy/NSQolhLlt+vTpYRySfN0IPPLII/bFF1+EbPPo0aOrZHj1O+3v7rvvHvZTtcnapjKxahdeeKGtscYaoUxEkichVIbzggsuCLKt/Rk+fLjtuOOOIRN87LHHhv1XFlbtoIMOCllViaHKRZSxveiii6rs8jfffBP6qSkTrkzwsGHDwnbyCa/6SDZVbrL88svXOtazzjorHHft96233hqyx8kaXvGRrOsmQ8dd2efzzz8/rPPAAw80He/cpqy1ap81Lo032RBehNd7SUV4vaT+1w/hRXgRXjK8xV85ynSJpPCeeeaZIUOnJomS1Ebh1WwLKl+Q8Oa2G264weaee+56CW98aU2P97UdNYnsq6++GmQtt6kEQvJVSHjjC3QSX73gtuaaawa51CP5UaNGVVntRhttFB7n57b33nsvZD0lbckmyVf2Od9LazGju8EGGwQhlJyr6dF9mzZtgjRq/9Uke8oax5cHJeT6I2mUpEr24/K5+6YyjptuuqnKj8VswIAB4Wfio6xwTcKb+6JdobHqOOnGId5w5Nbwaly6CcjXtttuuyrZYc8pg/AivJ44UR+E10sK4aWGt3qskOEt/vxhiTIj4K3hjZlXZfauvPLKUPO66667htE2pPBKlpThVJPs6fG+HuEq+6ss58UXX2xPPPGE5QqvpE5yp5bvBbqYQY3Cq2yxphNTfa8EMT7+T85UEQ+lal4lnXpEr5sCPaJXfW1Nwqv7RUmuBFmSp3IFZZjVlNnVTYTqhyXjymSrdEEtZrv1My0bpVKCKdFUO+WUU4K0x6Za3TizRvxZsv/RRx8dth+FPzfDmyu8hcaqumAJurYpVrnCq5IH/VxNIh7rwZSp13FUCURue/fdd+2tt94Ktcva12RDeBFe7yUV4fWSQngRXoQ3EqCGt/jrRtku4RVeyaeyhBKkfffdN7xoJVFsKOFVbbBkKNZ76lG9Hv9LePVoX4/1JWsSRZUKROGVKPXr1y/sx/bbbx/qi1XTmltekRReyapqVZV91Xa+/fbbUD4Rx6J642RTdlX7JamWwKpsQZnuXOHVMlqvuOiFLjW9cKYX6STrklNlZDfZZBO76667gtSqbjZOpxZvKuK2JferrrpqEEWVfGibkmGNXePUC3equ9bYkk39Jc9xH5I1zIWEt9BYX3rppVA3rab6YtUrq/5ZTTW8KotQfGgftI/rr79+kGLN+KGf55t6jhre4i4f1PDm54XwFhdH6k1JAyUNMWrI8BZ//rBEmRHwzsMryVS2ULWrasrwff755+HfKj1QPWt9anhjVjOuW/PaSp6U/bziiiuCHKqPpmKSOEpWBw8ebMqm6sUtlQSoSZwlioWENymEWk4zTuhn+b44QrWyKhHQTBFxG5K8fMIb5VJ/qzZWEh4+WL7+OohisiREY9DLaPFFQa0/CqFkUTW+sSkbHctMkiG222672cEHH1wt6iTxmvHhs88+C6KuDKu2rRsHCX9NcwcXGquOg7LAyuSq6UW+yD7O0qBsuPY1OVYdO8m0vpwit+llNt0A6OU6SX+ykeGtfkFBeBHehvqYQXgRXoSXGt6Gup5kbj2SzebNmzf4N2oJVJyhIX5LW4Snl8a+//77kB3VzAz5ml440x2qHotr/zxNMqXxdOzYMZRoFGoqe9DLXbX1VcZT4qr9kPTmNv0uTufl2Wbu8hJOzYoggdQNgf7O1/QimDLjKp/QGJUt17J6mS6+0FbbeAuN1RMHenlPU7mprEHc8k2fVog5wovwFoqR+HsyvF5S/+uH8Po+K4onW35LkOEtv2PGHkMAAmZhZgTVOiebssaqt9ZLc+XSEF6E1xurCK+XFMJLDW/1WEF4iz9/WAICEJgNCGhqMpUWKPOtjLdKNtZdd1139ns2GELYBYQX4fXGIsLrJYXwIrwIbyTAS2vFXzdYAgIQKAEBhBfh9YYVwuslhfAivAgvwlv89YIlIACBEhJAeBFeb3ghvF5SCC/Ci/AivMVfL1gCAhAoIQGEF+H1hhfC6yWF8CK8CC/CW/z1giUgAIF6ENCEMJrZoqaZNRBehNcbXgivlxTCi/AivAhv8dcLloAABOpB4P7777frrrsufEVzvobwIrze8EJ4vaQQXoQX4UV4i79esAQEIFAHAvoiDn2RieYKjl/ggfD6QPLFE/k5Iby++En2Yh5e5uGN8cC0ZMWfPywBAQhAoCABfZmIvrxCcwWPHDmSDG9BYv/rgPAivEWES61dEV6EF+Hlm9Ya6nrCeiAAgVoI6Kujhw8fjvAWESUIL8JbRLggvHkIUNJQHQoZ3oY6q1gPBCAAgTwEEN7iwwLhRXiLj5r8S5DhJcNLhpcMb0NdT1gPBCBAhrdBYwDhRXgbKqAQXoQX4UV4G+p6wnogAAGEt0FjAOFFeBsqoBBehBfhRXgb6nrCeiAAgTwEdIn5999/bezYsTZixAi7++67rVmzZtaiRYsqvZmWrDo8hBfhbaiLCsKL8CK8CG9DXU9YDwQgkIfAp59+an369Knym86dO9t5552H8BaIGIQX4W2oiwrCi/AivAhvQ11PWA8EIFAPAmR4yfB6w4d5eL2k/tcP4UV4EV6Et/grB0tAAAINTgDhRXi9QYXwekkhvExLVj1WmJas+POHJSAAAQg0GAGEF+H1BhPC6yWF8CK8CG8k0KSCDG/xVw6WgAAEGpwAwovweoMK4fWSQngRXoQX4S3+esESEIBACQkgvAivN7wQXi8phBfhRXgR3uKvFywBAQiUkADCi/B6wwvh9ZJCeBFehBfhLf56wRIQgEAJCSC8CK83vBBeLymEF+FFeBHe4q8XLAEBCJSQAMKL8HrDC+H1kkJ4EV6EF+Et/nrBEhCAQAkJILwIrze8EF4vKYQX4UV4Ed7irxcsAQEIlJAAwovwesML4fWSQngRXoQX4S3+esESEIBACQkgvAivN7wQXi8phBfhRXgR3uKvFywBAQiUkADCi/B6wwvh9ZJCeBFehBfhLf56wRIQgEAJCSC8CK83vBBeLymEF+FFeBHe4q8XLAEBCJSQAMKL8HrDC+H1kkJ4EV6EF+Et/nrBEhCAQAkJILwIrze8EF4vKYQX4UV4Ed7irxcsAQEIlJAAwovwesML4fWSQngRXoQX4S3+esESEIBACQkgvAivN7wQXi8phBfhRXgR3uKvFywBAQiUkADCi/B6wwvh9ZJCeBFehBfhLf56wRIQgEAJCSC8CK83vBBeLymEF+FFeBHe4q8XLAEBCJSQAMKL8HrDC+H1kkJ4EV6EF+Et/nrBEhCAQAkJILwIrze8EF4vKYQX4UV4Ed7irxcsAQEIlJAAwovwesML4fWSQngRXoQX4S3+esESEIBACQkgvAivN7wQXi8phBfhRXgR3uKvFywBAQiUkADCi/B6wwvh9ZJCeBFehBfhLf56wRIQgEAJCSC8CK83vBBeLymEF+FFeBHe4q8XLAEBCJSQAMKL8HrDa0D/PrZAm/HWaaGO3kUy36+iosJmzJhhzZs3zzvWv/+ZYd22PN6WXGa1zLNIDhDhRXgR3kZ1yjNYCMz+BBBehNcbpYMHD7bu3btbt27dvItkvt/06dNtypQp1rZt28yPtZgBIrwIL8JbzBlDXwhAoOQEEF6E1xtkCG91Ughv/uhBeBFehNd7ZaUfBCCQCgGEF+H1BhrCi/B6YwXhRXgRXu/ZQj8IQCAVAggvwusNNIQX4fXGCsKL8CK83rOFfhCAQCoEEF6E1xtoCC/C640VhBfhRXi9Zwv9IACBVAggvAivN9AQXoTXGysIL8KL8HrPFvpBAAKpEEB4EV5voCG8CK83VhBehBfh9Z4t9IMABFIhgPAivN5AQ3gRXm+sILwIL8LrPVvoBwEIpEIA4UV4vYGG8CK83lhBeBFehNd7ttAPAhBIhQDCi/B6Aw3hRXi9sYLwIrwIr/dsoR8EIJAKAYQX4fUGGsKL8HpjBeFFeBFe79lCPwhAIBUCCC/C6w00hBfh9cYKwovwIrzes4V+EIBAKgQQXoTXG2gIL8LrjRWEF+FFeL1nC/0gAIFUCCC8CK830BBehNcbKwgvwovwes8W+kEAAqkQQHgRXm+gIbwIrzdWEF6EF+H1ni30gwAEUiGA8CK83kBDeBFeb6wgvAgvwus9W+gHAQikQgDhRXi9gYbwIrzeWEF4EV6E13u20A8CEEiFAMKL8HoDDeFFeL2xgvAivAiv92yhHwQgkAqBhhDeoZcPt8+++NqaNm2ayj6nsZHp06db8+bN09hU2Wzjww/et6P7HmI9evQom30u9Y4qTqZMmWJt27Yt9abKav0IL8KL8JbVKcvOQiD7BBpCeE8YcLq16rCiNWveIhPAKioqTCLTokU2xtNQB+W/z46xfXptZnvuuWdDrbLs14Pw5j+ECC/Ci/CW/eWNAUAgWwQQ3urHE+HNH+MIb3UuCC/C6/1EmDp1qk2bNs1at27tXSQT/ZpU6IpKgwAEIDCLCSC8CK83BBFehNcbK2R4yfCS4fWeLfSDAARSIYDwIrzeQEN4EV5vrCC8CC/C6z1b6AcBCKRCAOFFeL2BhvAivN5YQXgRXoTXe7bQDwIQSIUAwovwegMN4UV4vbGC8CK8CK/3bKEfBCCQCgGEF+H1BhrCi/B6YwXhRXgRXu/ZQj8IQCAVAggvwusNNIQX4fXGCsKL8CK83rOFfhCAQCoEEF6E1xtoCC/C640VhBfhRXi9Zwv9IACBVAggvAivN9AQXoTXGysIL8KL8HrPFvpBAAKpEEB4EV5voCG8CK83VhBehBfh9Z4t9IMABFIhgPAivN5AQ3gRXm+sILwIL8LrPVvoBwEIpEIA4UV4vYGG8CK83lhBeBFehNd7ttAPAhBIhQDCi/B6Aw3hRXi9sYLwIrwIr/dsoR8EIJAKAYQX4fUGGsKL8HpjBeFFeBFe79lCPwhAIBUCCC/C6w00hBfh9cYKwovwIrzes4V+EIBAKgQQXoTXG2gIL8LrjRWEF+FFeL1nC/0gAIFUCCC8CK830BBehNcbKwgvwovwes8W+kEAAqkQQHgRXm+gIbwIrzdWEF6EF+H1ni30gwAEUiGA8CK83kBDeBFeb6wgvAgvwus9W+gHAQikQgDhRXi9gYbwIrzeWEF4EV6E13u20A8CEEiFAMKL8HoDDeFFeL2xgvAivAiv92yhHwQgkAoBhBfh9QYawovwemMF4UV4EV7v2UI/CEAgFQIIL8LrDTSEF+H1xgrCi/A2iPBWVFTYjz/+aHPOOafNM8883vgraT/tz+uvv24tWrSwLbbYIuxf8v8l3XiJVv7UU0/ZP//8Y8svv7wtvfTSBbfy/PPPm07ylVde2RZffPGC/Ruiw4svvmi//fabrbjiirbkkkvmXeXMmTPt/ffft48//tgWXHBBW2KJJeydd96xJk2a2NZbb+3ajWJYfPDBB/bVV1/ZQgstZGuuuaZr/Z5OuePYaKONCi42bdo0e/zxx0O/rl27Wtu2bQsuU6hDFmI7OUaEF+EtFPPx9wgvwuuNFYQX4a2X8E6ePNkuvfRSGzduXCVJCeaBBx5ovXr1sqZNm3pjscH7PfPMM3b22WeHfXj00Uct9/8NvsE8Kxw/fryde+654TdDhw61li1b1muzPXv2tL/++sv23HNPO+CAAwqua4899rCff/7ZDj30UNtll10K9m+IDvvvv7999913tu+++9o+++xTbZWSxJ133tkUO2rzzjtv6Kc4UosyWGhfimExZMiQEAOS3QsuuKDQql2/zzeOkSNHVllWUn7PPfcEoT/xxBPD73TR3WmnncK/r776altqqaVc26ut06yI7XrvdC0rQHirw1FSYfr06eEGnvY/Aghv9WhQnEyZMqVBbqazFGsIb/WjOXXqVFMSpnXr1lk61AXH0qRCV9QimrpLbiZMmBCWWnbZZW3SpElBsNR23313O+igg4pYY8N2nR2E96OPPrIjjzwyDOyBBx6wueaaq16D1I2FZEAZXo8ozY7C+8orr9gpp5wSbkR0MzDHHHOEpwLK8OpnW265pYtRMSxKIbz5xqFMerLddtttduONN4Ys9i233ILwuo6shRhv1qxZiI26thMGnG6tOqxozZpnQxAR3vyRgPAivN5rBMKL8EYCRQuvMnExW3bsscfaNttsY8p6DRgwIJQOqN19990hc/fFF19Y9+7dK7OSyrx+8skntvnmm4fs3rvvvmtXXHFFeOyspsf1/fr1C4/E33jjjbAO3YHsvffeJolYZ511wvoGDRpkP/30U7hDUTnFKqusYieddFIQqGKFV5nTPn36hO1369bNnnjiCfv9999DOYSyo8rQ6tH42muvbX379rUFFlgg7G9N+6BsrrKwv/76a1jn/PPPb82bN7frr78+7O+IESPsySefDJlOjU0Zy/322y881j/11FNN2eEdd9zRvvzyS3vrrbcCn/PPPz/8XP023XRTu/zyy8M6tO+SxQ4dOoTMapTGQsKrY3jdddeFEgQdOz1e32yzzcL41MT6scceC8dBH7ivvvqqLbLIIiGDv/7664c+2j/tl/4W97iufBneN998084444ywv2qdOnUKN0Vt2rSpPMZXXnll5TGX8Ij3ww8/HDJbyozqRkotMoosdKyUTZWI6rjo5mKllVayc845x6Lwqqxj4YUXzjuO3EvBn3/+aVdddZWpLET7q0y0nlooFt5+++2841DcxKaxDhw4MJSgxLHqpvCoo46qzPBqfc8++2yIM3FX/MWbojFjxtjtt99uEydODGMXb51n+UogkrEuRvl41TYexY7i4LnnnrMNN9wwPBH45Zdf7Ljjjgv7fvHFF9t8881nL7zwQjgvNDZlkCTy2uf11lsv7Odll10W2GjMivfDDjssnEv52n333Wf33ntvOB46RsmG8FYnhvDm1xqEtzoXMrz5YwXhrc6FDG/+WKn20ygR+jDWh7NETU21mcccc0z4tz7IVKd50003hQ/thx56KAieHmmrSZjnnntuO/zww8P/N9544yArX3/9dfhg1yNifchKkJNNEiqp02Pi5ZZbLvxKAh0fM+uDtljhTT5qzodAUqD1q0lUevfuHT7ca9oHiXxNwqsMp24KJAWSdO2r1n3EEUfYDjvsYFFUk/uhmwdtM1miIG6SpUUXXTQwk1xrP0eNGhUkspDwSroffPBBW2aZZcKjdkmrmjKvEs14jHN5SGy1PxITHUsJvJoENmb8axLeXAmU8Grs+cpP8h2HO+64I4h97tgkkh9++GG4eRBT8fjhhx9CiUShceTbTlyf4lb1yMpAq+mY6v/5xlGs8Gp9ybhSLCm2dfwk29q2buz++9//hvNGYnnWWWdV290Y67Xxqm08KpE5/fTTw7nWpUuXIPNiF0tSlJ3W/3UTqrbaaquFv9977z3bbbfdwrHYa6+9wj6KvY7Byy+/HPpce+21oaQjt11zzTUhhnQjkVsKgvBWP5IIb77oNkN4q3NBePPHCsJbnQvCmz9Wqv30+OOPDxIgaVMmMDYJmT4A1fQhqw/QmJWTeHzzzTchEySh1Qf7mWeeGTJLyvRIJhSU+r3asGHDgkBF4VXmUR+Qyjbpsb5ES0ItSX7kkUdCJlnrHT16dL2EVxnLVVddNWTzlN2ThEhGojhpX/WoWheW2vYhX0mDXjBSplpNsqcXqfSB/+mnnwaRuOiiiyplTvKw/fbb24wZM8LNgCQyKbzKsun/Ej1xisdBmTm9/FVIeJWJ0zp0HJWhu/nmm0N2TttSBjWOVxl3HQtl9k4++eSw77qJkfAr+6cmQVO/QjW8UeaSolPbzYmytpJCZcDVjj76aOvRo0e1sekJg46F9kFZTpUX6GZAclpoHBL1ZBNLZY7VLrzwQltjjTUsCppkTtnJfOPIPUkKlTToxqJz584hE6qbDWVXJZ6xPlnHQS+2vfbaazZ27NjKevTc7ST55eO11lprFRxPIeHVy4jDhw8Pm5bcrr766kFklTnWE5pLLrkk7J/iQze/Ood0PPQ0IF4PkvutJxOqq1b8K3OdbAgvwuv8GEJ484BCeBFe7/mD8DpJJTO8eoQaW1LylI1SVkofaMoGKSsr4ZWgxRrfgw8+OGTj8jVlmnRAktm/2E/rk4TG7GL8uUoblLWsT4Y3vkwU923XXXe1Qw45xJRdVEmCMoz6d6F9yCe8ynxJJvM1iZdEsiZRTf5cmVXxUVYut+Vmimt6aU3iJpHNbTGTmFv7qsfc8eZFjPR4W1m6eJOh9TS08EqK1HTzoXKJOJZcRhJuSWiyadYElZwUGkduPXTyGOmxu7LlqhmO2VXtk36ubebLUMZ9KCS8Mc4kvnrBTS/VaRvbbrttjWdhvlrwfC+tJXkttthilTFX03gGDx4cYmmDDTYw/Ts3w6uaWt0EJM83nWs6N7WcbjLzte222y7c+BbTEF6E1xsvZHirk0J4EV7v+YPwOknpQ18ioaa6WdXj6rGbBOOll14KP7/rrrusffv2VeQzlgXceuutoQ62f//+4fG+ZC9mdrWsXoDr2LFjqLfMJ7wxw6wsqLLEkpTzzjsv1PI2lPBKrpR5i8J75513htrbKLyF9iEpvBICiaHWp/WqqbQhOU2WsrXKUHqEVxm2WGur0hBlISWjKmvwCK+Og7LA+luPtJV1VrZWEluT8Eo442wPkjXdvMTse6wbLZXw6tG5xlaT8CpDrey5amIVM5opQk1SKslLztKQO45c4dWTAmVd1ZTZVQ2zMqcas8oMNNZiMrzJpyD5ZmnQ8VPpRZxFImar9bcypLFpfLGEJ3ma5hPeJK+YRa5tPBJtSb3WH5+sxCy3ShokvKovVqZZTwR0vil2tM+KF3FW0w1bfOP333//DX1U65vblBVWbbquD8rYJxvCi/A6P4bI8OYBhfAivN7zB+F1ktIHmUoQYs2mHiErA6jMkFqURP1bJ6AezcfsUPxQ1e8kKBJWNYmFRO77778PH6hJqYrTi8XdU5ZUfSQTyiKppEH7kqbwFtoHlQdo39T0op2ygapvVimD9lXyJFlQTaxetlKphOTHI7xaLs6CoZpiMVb2T80rvFpOJRsSIj36l9Rpn73CqxuWWGqgMej4qexBraZpyYotaYgZ3tqEVyUMenqg7KTKQr799ttQV652ww03mG5UihFelZDoBkA3ILoR22STTcLNm+I3lrd4hFdCF+teFf9ipBrt3GnJcoVX5QHxqYnGIyHXzdPnn39e+fNihFfHudB4tD1tV003XbphiC/cSXj1NODpp58ON7aSVGX2dQOiMgzVlut465qgMeoFO11IVQahn+ebEo8aXueF9v+6UcObnxcZ3upcEF6E13t1QXi9pMzCSyo1zcOrD/X4IptWqdpUZYfU4ss5cVMSNb3cEj9g9XPJoWYh0MwI+TK8qnnVjBDK1qnpDXyVRqQpvIX2QfulcUkkY2ZbYq4bA/GIchg5SOpURuERXklE8mUsZZ0lINqOpkKTYBWq4ZXkaPYHiZzku127dkHy4mPt3FKAfJlRjU8yGI+ZsnM6jjUJrzLdqgX11vB6hVdjjTNiaF/0Ip9+JkH1jCM37BVLejEt3tDp9+KiJxKtWrUKj/Bzx5G7DkmKbj70QmWMUWXRCwmvjodmq9BLnsmmm5LkU5D4u0IZXsVKofHoXNYTi/jiokQ7vqinpzGqI9a2YxzrPNPN6QknnFA5rZxiOslLMaWbQtXx57YYN/FpSfL3ZHirX4QRXoTX+9GM8CK83lhBeL2kEv30IajMrh55KvtT16aXjPRHWSLN3uBpykRJnuo7x61nWzX1KbQP4iOR1JgkCrFJbMRNYqAX8eoyqbxeGtKffI+NPWPSxVEZdWUy9di6Lq2++1CXbeZbRqIkziqFaah4kORLpPVyVV3XqZjWhUXnhqam8zbFTZx2T/FR1+0nt1doPOKnkoR829L+6GZNcZv7ol/chl6C1D5rHTovkze93nEjvAivN1bI8FYnhfAivN7zB+H1kqIfBCAAgRIQQHgRXm9YIbwIrzdWmJasOimE1xs99IMABCBQAgIIL8LrDSuEF+H1xgrCi/BGAkV/05o3yOgHAQhAoBgCCC/C640XhBfh9cYKwovwIrzes4V+EIBAKgQQXoTXG2gIL8LrjRWEF+FFeL1nC/0gAIFUCCC8CK830BBehNcbKwgvwovwes8W+kEAAqkQQHgRXm+gIbwIrzdWEF6EF+H1ni30gwAE6kVA3yanL9nIbfpmxOR0fQgvwusNNIQX4fXGCsKL8CK83rOFfhCAQL0IPPbYY+ELV+LXEMeVLbHEElXm60V4EV5voCG8CK83VhBehBfh9Z4t9IMABOpFQMI7dOjQvF+PnFwxwovwegMN4UV4vbGC8CK8CK/3bKEfBCBQLwIS3gsvvNDWXnttm2OOOaxz58629dZbV/v2OYQX4fUGGsKL8HpjBeFFeBFe79lCPwhAoF4E3nnnHZP06iu2J0yYYC+88IJ17drVBg4cWGW9CC/C6w00hBfh9cYKwovwIrzes4V+EIBAgxIYNWpUqOd95JFHqmR5EV6E1xtoCC/C640VhBfhRXi9Zwv9IACBBiXw7LPP2plnnmnM0lAYa0VFhU2fPt1atGhRuHMj6oHwIrzecEd4EV6E13u20A8CEKgXgVtuucWWW245W3XVVW3SpEk2YMCAIHDXXXddlfWS4SXD6w00hBfh9cYKwovwIrzes4V+EIBAvQgMGTLEHn300cp1dOrUyc4dWYecAAAYF0lEQVQ66yxbdNFFEd4CZMnw5geE8CK83osSwovwIrzes4V+EIBAvQn8888/NnHiRGvbtq21b98+7/rI8JLh9QYawovwemMF4UV4EV7v2UI/CEAgFQIIL8LrDTSEF+H1xgrCi/AivN6zhX4QgEAqBBBehNcbaAgvwuuNFYQX4UV4vWcL/SAAgVQIILwIrzfQEF6E1xsrCC/Ci/B6zxb6QQACqRBAeBFeb6AhvAivN1YQXoQX4fWeLfSDAARSIYDwIrzeQEN4EV5vrCC8CC/C6z1b6AcBCKRCAOFFeL2BhvAivN5YQXgRXoTXe7bQDwIQSIUAwovwegMN4UV4vbGC8CK8CK/3bKEfBCCQCgGEF+H1BhrCi/B6YwXhRXgRXu/ZQj8IQCAVAggvwusNNIQX4fXGCsKL8CK83rOFfhCAQCoEEF6E1xtoCC/C640VhBfhRXi9Zwv9IACBVAggvAivN9AQXoTXGysIL8KL8HrPFvpBAAKpEEB4EV5voCG8CK83VhBehBfh9Z4t9IMABFIhgPAivN5AQ3gRXm+sILwIL8LrPVvoBwEIpEIA4UV4vYGG8CK83lhBeBFehNd7ttAPAhBIhQDCi/B6Aw3hRXi9sYLwIrwIr/dsoR8EIJAKAYQX4fUGGsKL8HpjBeFFeBFe79lCPwhAIBUCCC/C6w00hBfh9cYKwovwIrzes4V+EIBAKgQQXoTXG2gIL8LrjRWEF+FFeL1nC/0gAIFUCCC8CK830BBehNcbKwgvwovwes8W+kEAAqkQQHgRXm+gIbwIrzdWEF6EF+H1ni30gwAEUiGA8CK83kBDeBFeb6wgvAgvwus9W+gHAQikQgDhRXi9gYbwIrzeWEF4EV6E13u20A8CEEiFAMKL8HoDDeFFeL2xgvAivAiv92yhHwQgkAoBhBfh9QYawovwemMF4UV4EV7v2UI/CEAgFQINIbxDr7jKPv/ia2vSpEkq+5zGRqZPn27NmzdPY1Nls40PP3jfju57iPXo0aNs9rnUO6o4mTJlirVt27bUmyqr9SO8CC/CW1anLDsLgewTaAjhzRqlmTNn2uTJk61du3ZZG1q9xjN48GDr3r27devWrV7rydLCCG/+o4nwIrwIb5audIwFAhkggPBWP4gIb/7ARnirc0F4EV7vx8DUqVNt2rRp1rp1a+8imejXpKKioiITI2EQEIBAWRNAeBFebwAjvAivN1bI8JLhJcPrPVvoBwEIpEIA4UV4vYGG8CK83lhBeBFehNd7ttAPAhBIhQDCi/B6Aw3hRXi9sYLwIrwIr/dsoR8EIJAKAYQX4fUGGsKL8HpjBeFFeBFe79lCPwhAIBUCCC/C6w00hBfh9cYKwovwIrzes4V+EIBAKgQQXoTXG2gIL8LrjRWEF+FFeL1nC/0gAIFUCCC8CK830BBehNcbKwgvwovwes8W+kEAAhCAAAQgAAEIlDUB5uEt68PHzkMAAhCAAAQgAAEIFCKA8BYixO8hAAEIQAACEIAABMqaAMJb1oePnYdAeRP4/fff7Z9//rEFFlgg70AmT54cvgJz3nnnrfL7xx57zNZYYw2bf/75yxtADXuvrxRWa9q0abUe+t3EiROtQ4cO1rx588rfv/HGG9aqVStbYYUVMskkOaiffvrJ2rRpY3PNNVfmx5ocIHFR9XCLx6+//hrOg3nmmcd9DdF15bnnnrMtt9zSmjVrlrkY0jVV54iuB/PNN1+18emrhcVN190mTZo0mmsIwpu5UGdAEJj9CehifNhhh5k+eNT0YbX33nvbDjvsEP7/119/Wf/+/e2jjz4K/19wwQXt4osvto4dO4b/64PqtNNOs4022mj2H2yRe6hvex80aFBYSi9nJdszzzxj5557rkXxOeigg2z33XcPXY4//nhbdNFF7Zhjjilyi+XT/auvvrLjjjuuMm7WW2+9wKpFixblM4g67ilxURXciy++aGeccUbluaDYP/bYY23VVVcteA359NNPrU+fPnb//fcHKcxSO/XUU+3ll1+uHNLCCy9sl1xyibVv394UQ1deeaXdd9994fc6b84555yQPGgM1xCEN0uRzlggUCYElKEcPXq09ezZ01q3bm033XSTPfjgg+FCrKzdNddcYw8//LBdffXV4QPpiCOOCDJ31llnZVp4H3nkEbv88stDVnuDDTaoIrxTpkwJvPbYY49wc/DUU0/ZhRdeaNdff31g0xiEVzdJigd9SH///ffWu3fvIC7xRqlMwr/o3SQuqiN76aWX7Mcff7Tu3buHp0RnnnlmpdCpd23XkCwL7/Dhw61r1662/PLL24QJE8I5sv3229vhhx9ub775pp144onhpnn11Ve3Sy+91MaNGxfEX0+Tsn4NQXiLvvSwAAQg0NAExo8fbwceeGC4EK+99tpB6jbZZBM79NBDw6b0ga8Mr0oZ9AgumeH95ZdfbMCAAbb++uvbAQcc0NC7lur6NDWbplHSWOecc84qwvv0008H0RszZoy1bNky7FevXr1sxx13tH322afKh9WMGTOCAEgEdJOQLH1IdUANuLHffvvNdtllFzv//PNtrbXWCmvW2CQ9uknIciMuCh9d3SwPGzbMxo4dG8oUaruGfPbZZ1UyvG+99Va4eTzqqKNMTw2y0nTjrJvBfffdNzwJGjJkiH3yySfhZkBNiYe99trLhg4daiuvvHLmryEIb1Yim3FAoIwJjBo1yq666iq78847Q82ZhFaPJ7faaqswqvfeey/8/5577rF27dpVCq8eX0qKF1lkkSBCWRA7jVePaiWtyZIGsbnrrrtCZjy2I4880hZffHE74YQTKj+s9KE9cOBA++CDD0KGPJaBlHF4hF2XpChbddttt1XWbuvJgATnjjvuKPfhufafuKgZk0qgvv7668pYqO0aItGLJQ1aRmVAemqiG8csNNXojhgxwlT2oeupbn7btm0brhMqH1PZQ2xbbLFFSBgowRAzvFm9hiC8WYhuxgCB2YSAakuvvfbaGvdm8803t6WXXrrK75VxkLj16NEj/K06s//85z+VF+Gk7EhwOnXqVCnEkh9d0JWdmZ3rOF999VXTS2X5mj6Adttttyq/yic2ysooy5uUO32AqSRE/fVhJfFXNlDbU/8svdQXH8fGmx4B002AYkDlMI2hERf5j3LM7opPly5dCl5D9I6AhPeiiy6yfv36hexnuT8dSpJR+ZPecZDM6/qgJ0O6bqokaNlllw3iG5tuDFQytt1222X+GoLwNoarJGOEQEoElJXUY7Oamh6vJWcRUCmDLsKrrbZauCjHWQl0EdbLSfpbLWZ4lQmee+65K38eBXuJJZZIaYR128yzzz5rqjnM1zQDxSGHHFJQeD0ZXnESE2VCVe6QpRYzvLfffntl1poM7/+X/kKZ/yzHhWpQVdpy8MEHV7lxrO0aojIYCa+uN3pnQPximVCWzhklD3R91Y2vGNWU4T3llFNCLbRumrMcKwhvlqKbsUCgjAgos6tHieuuu254BJ+cgiu3/k4vsOlN42QN74YbbhjqN/Xykh7f6S3krLR8mbx8Nbx6iW2nnXaqrOHVo1rxfOCBB0L2SjcSWWmxhveCCy6wNddcMwxLJR+a8SPrNbzxGBIXVaM5Xhf69u0bXuhMttquIbGGd7/99rORI0eGF7wUV/mmASz380eiq8SCypuUjNALe/q3mq6fKuVI1vBm+RqC8JZ7NLP/EChDAppuTOULelNYf8e5IPX4TSUK8Q1r1fXqrXz1yTdLQ+fOnStfbIszOpQhjspdVoZcL5roQ0qZWt0IKPOkD2I9ptTb1nvuuWf4kHryySeD1OabpUEv/2kKM72xvdRSS5Uzkir7rnptxcjZZ58dbnSUpWsMszQQF9VDWLXsim+9dLXppptWdtATE83RXNs1JDlLg6RPMxh069bNlOks56ZpHsVEN8G6Xipbe/LJJ4cXWzVGlVWddNJJ4Wmarr1KIjz//PN5Z2nI4jUE4S3n6GbfIVCmBGJmJnf3JbDnnXdemIdX0+coC6ymR3K6OMeaVD2ulAwqyztp0iTTfLT6neaYLOcsjR5PK1udbHokufPOO4cfaSoyfRDFprpDCbCaHlfqQ+7oo48Osix+H3/8cRDirLy49uWXX4aXFxUfao1lHl7iovqFTtluyVpuk9hJ+Gq7hsTyGD0JUUnDO++8Ex7naxaQODNMOV5a//zzz1Ae9fPPP1fu/jrrrBOulZr1RSUOehoSa951rdT1Nj4xyfo1BOEtx6hmnyHQSAjoMbYynlkRtoY4bJJZza+pb0manV/Ua4ix1rSOH374IWTx9If2/wkQF/kjoTFeQyS+mq5R1818X6yh6Qr1e73IlvymtayfSwhv1o8w44MABCAAAQhAAAKNnADC28gDgOFDAAIQgAAEIACBrBNAeLN+hBkfBCAAAQhAAAIQaOQEEN5GHgAMHwIQgAAEIAABCGSdAMKb9SPM+CAAAQhAAAIQgEAjJ4DwNvIAYPgQgAAEIAABCEAg6wQQ3qwfYcYHAQhAAAIQgAAEGjkBhLeRBwDDhwAEIAABCEAAAlkngPBm/QgzPghAAAIQgAAEINDICSC8jTwAGD4EIAABCEAAAhDIOgGEN+tHmPFBAAIQgAAEIACBRk4A4W3kAcDwIQABCEAAAhCAQNYJILxZP8KMDwIQgAAEIAABCDRyAghvIw8Ahg8BCEAAAhCAAASyTgDhzfoRZnwQgAAEIAABCECgkRNAeBt5ADB8CEAAAhCAAAQgkHUCCG/WjzDjgwAEIAABCEAAAo2cAMLbyAOA4UMAAhCAAAQgAIGsE0B4s36EGR8EIAABCEAAAhBo5AQQ3kYeAAwfAhCAAAQgAAEIZJ0Awpv1I8z4IAABCEAAAhCAQCMngPA28gBg+BCAAAQgAAEIQCDrBBDerB9hxgcBCEAAAhCAAAQaOQGEt5EHAMOHAAQgAAEIQAACWSeA8Gb9CDM+CEAAAhCAAAQg0MgJILyNPAAYPgQgAAEIQAACEMg6AYQ360eY8UEAAhCAAAQgAIFGTgDhbeQBwPAhAAEIQAACEIBA1gkgvFk/wowPAhCAAAQgAAEINHICCG8jDwCGDwEIQAACEIAABLJOAOHN+hFmfBCAAAQgAAEIQKCRE0B4G3kAMHwIQAACWSAwffp0++mnn6xp06bWoUMHa9asWRaGxRggAIEGIoDwNhBIVgMBCEAAAukTGDdunF1zzTX20UcfVdn4Vlv9v/bOM8aGLozjj0QLosZ+0MIHiRpkkeidFyERFovF6tFrdCGi9x6x+lrsKgnR2wctiIgQX3wgguglegRv/s+bMzn3mtk79+Vmd+7+n0Tszpw585zf2Zv87zP/c+YfGTFihFSsWDHmSf348UPOnj0rR48elfXr1/u638iRI+XatWvatk+fPjJp0iRZunSp7N+/X48lJibquP5WuOWIYw0bNnRusXz5cmnVqtXfuiX7IYFcRYCCN1dNB5MhARIgARLwS2Dx4sWSlZXl2bxUqVKyY8cOqVChgt8uo2539+5dmT17tjx69EgSEhLkxIkTvvqAGL9x40aI4F2yZIlkZmbqsXr16klaWpqvviI18sqRgjcSOZ6PJwIUvPE0mxwLCZAACeQRArdu3ZIhQ4aEjBYi8d27d/LgwQPneNu2bQVCMlaRnp4uq1at0u6jEbw3b96UN2/e6HWoQlerVk3zjIXg9crx169fcu7cOcH/iDp16ugYGCQQjwQoeONxVjkmEiABEohzAuPGjZNLly45o1y5cqW0aNFCxduiRYvk4MGDeq5Ro0aCR/WFCxfW38+fPy8HDhyQO3fu6O/Vq1eX5s2bS+/evSV//vx6bPv27doOkZSUJPAHoz/YJmrUqCHTpk2TmjVrypYtW9SC8PbtWycPnIctYNCgQTJz5kyt/CKSk5Nl79698vDhQ+nVq5d8+vRJUHlFdOjQQfr16xcieCGAYWs4fvy4fPv2TZo0aSKTJ09WfzIC4zeCOSUlRdq3by+3b9/WsZrYunWr7Ny50zPHgQMHyoABA5z26LN+/fr6+/fv3yUjI0MuXLigrFAtr1WrlnTv3l2aNWumbV6/fi3jx493rl+2bJmsXr1aLl++LIUKFZIuXbrIqFGjHK5x/ifJ4eVyAhS8uXyCmB4JkAAJkMDvBDp27CgvXrzQE1WrVpV9+/Y5jd6/fy9Pnz7V40bE4uSKFStUxLkFxCX8twULFpSFCxc6grlIkSLy+fPnkEsg/o4dO6bCGr7d8OjWrZvMmjVLevToEVJtNu0gAq9fv56tpcEtx/Lly2teBQoUEFSujdCeMmWKCnYIzbFjxzqX4nfYPrxynD59uquHFwIb1fN79+65skpNTZXRo0fLs2fPpHPnzk4bcLHFP07gHuDAIIGcJkDBm9MzwPuTAAmQAAlERQCCrHHjxs417dq1U2GXXcAvC9+sCVRQUS21q8QTJ06Uvn37hgherz5hE7h48aJaEMIrvC1btpTBgwe7Cl4I6MOHD6sgzs7Di/uiLSqldv/z58+XTp06+Ra8u3bt8swRFV63RWtYLLd582Zn6KhYP378WO7fv+8c2717t5QuXTpE8Jqc7S8IqLqj+s4ggZwmQMGb0zPA+5MACZAACURFIFzwtm7dWvA4Pbuwq7sQktjdAVuY2bslwMO6bdu23wTvqVOn1JowdOhQ5xZr165Vm0F2Hl67wot7HjlyREqWLCn58uVT8R1J8J48eVJKlCghbdq0carMsD5MmDDBt+CFlcMrR69Fa3be2O1iwYIFaquwv2QMHz5cunbtGiJ4sdsEcgNTMzZ8sdizZ09U88vGJBALAhS8saDKPkmABEiABGJKAD5SU0kMtzRgQRgqqHjsj2orhCyE2JUrVzQnVCyN19WuZkKUomprWxqMYPv48aN6hE3Aq4oc/ApeVGVRnTURSfBWqlRJK8EI2AeuXr2qPxsB6mZpOHPmjPqLTcDSEK3gBS/j40U/U6dOlZ49e2qXsDlgsSAC44E1w7Y0GCbr1q3T3TEQFLwx/Riw8ygIUPBGAYtNSYAESIAEcgcB+FbNwjJkhD1sUen98uWLijQjbnHu9OnT+ojeLGSrUqWKLlxDwGOK8wgsOMOjelvwNm3aVNasWaP94mcT0Qre/v3760IzE5EEL9pB5MJTbIvbYcOGCaqr9jGzjy+qzlik9ieCF18GULl98uSJdmP6xmJALO4zXzJgh8CCPlvwwj6BxXwbN24ULJij4M0dnxVm8R8BCl7+JZAACZAACQSOAF7agEfndmBRlxFq5jh2Cpg7d64uMpszZ47THNfCXgBxa8KI0mgELzy89rZnqOKWK1dO6tatG+LhhUiFWI1G8EJ8IkdT6cW1EPawOGCRmu2phY8ZFV47TIXXK8fatWu7enjnzZun9gsEqt74coHdJWwxDcGPyjoFb+A+Onk2YQrePDv1HDgJkAAJBJsAfLv27gzho8GuAXh5Q+XKlQV+VVRYjTXAre2hQ4ekePHiUVV4YYGwt+ZCv9i6a8aMGX8seMNzhM0BFehixYqprxb5ZhdG8HrliEq426I1bDeGrdPCd1ww90KlG4L3+fPnFLzB/gjlqewpePPUdHOwJEACJBA/BPCYHdVP/LO30EJVskGDBmpXKFu2rDPgDx8+6KI0PHq3A35UbOdl2toVXvh0Ie6+fv2qi9RMGEsD9uiFX9iurhqPsL34CxYGe9Gb26uF7RdPwDeLnRGMNQNeWIhciHfEy5cvZcOGDc6WYxDDqMSOGTPGydEIXq8ccT+vVwtjkR4sEtiH1wS4ogqOfX/hDYbgBTsTEOOwhWzatMl5Sxw9vPHzeQv6SCh4gz6DzJ8ESIAESEA9ttgXtmjRohHfFvbz5099aQKqvnizGHZr+NN49eqVYGEbtupClfhvBfrEDgllypRx7RLn8ZIIVLMjxf/JEWIZXCF2MTYGCQSVAAVvUGeOeZMACZAACZAACZAACfgiQMHrCxMbkQAJkAAJkAAJkAAJBJUABW9QZ455kwAJkAAJkAAJkAAJ+CJAwesLExuRAAmQAAmQAAmQAAkElQAFb1BnjnmTAAmQAAmQAAmQAAn4IkDB6wsTG5EACZAACZAACZAACQSVAAVvUGeOeZMACZAACZAACZAACfgiQMHrCxMbkQAJkAAJkAAJkAAJBJUABW9QZ455kwAJkAAJkAAJkAAJ+CJAwesLExuRAAmQAAmQAAmQAAkElQAFb1BnjnmTAAmQAAmQAAmQAAn4IvAvJ0fY1GpIKlQAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.plot.local_plot(index=268,show_masked=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also hide the predict value with parameter show_predict=False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Focus on Negative contribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.filter(max_contrib=8,positive=False)\n",
    "xpl.plot.local_plot(index=268)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also focus positive contribution using positive=True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Hide specific features:\n",
    "Because:\n",
    "- some features can be too complex\n",
    "- end user don't want know unnecessary information <br />\n",
    "\n",
    "You can use features_to_hide parameter in filter method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QWOCWKOvB77//Hit+QRwwi34SAS/bAbI+LhOYwTsNXLAwjEVR5GQFivEq+kViFQFE4naBeW/MQ4MGDew4PMAQa+zhnjlnYR+WSUgDcdFALEaatkRxn8FwD8CNBYYVGU+y845X88FFlsHtONfTFSVJ5uEl1przOBgOEGw7eO7kAniJ2SWuO+jZ5brjoSLo2fV9CIYb8VkwBIbfCWsIPrzxN4OH0WChimAcPfvEe40ThTHl+m+Z2pMCUVZAwBvl2dXYKkWBTIGXTpHrk/yqACde3njjNSgL1PAGHnvssbbyPhjnmeiVNR4j0pyRxozYXODDv2ZNBI7Bm3QwC0EhgDeYtYKFPTwUsPCL18ePPfZYmRAID2ikKgMk4i2YExXPGzHNiYCXV8k+Lhe44ScIiUFPfNBjVxFA9DHbQDVgQ9+D5sMg+CwYl5wJ8L766quxPK7kNq5Ro0Y5bYKliv3ir4qMJ18XVjLgBZbRhQcQwmbiLRjOkS3wcu0RWvDiiy/GDsM5CYDGx3n7DbiWuaa9BeO3E8ErDyR44bt37x7bJz5dHH0IhjUkilfP1zyoXSkQRQUEvFGcVY2pUhWoCPD6cAU6yuv0YK5dPgt6BP1q8CCg8frUZ2zwgw3uQwwg4Ar0JovNBKIBBSyY/7UQwBvMUsDCKhbc+ewHeGiDyf6Di6wSgTwpnIBkDM1YWJQIeFnk5BcMejAOnjhBOGThEB53LFNAZCwsIsSOO+44x9wH7bfffrMYTx9THcziEPQMBr22ibI04NFv3bq1NR0sYuCPRT/43KepA6bQJtPx5PPiSga8PCTgXU10vQTHxffZAi+5oEkTGLSePXsmfIDAS7/xxhvbprwtCMZ9A8h48nkAIwOIL2bhQ5JYZErWDG+8WeA63Hzzze1hLxjqVJG4/XzOk9qWAqWogIC3FGdNfS4qBYLAS67PRJ4132Hyz9asWdMWLHk44UYH0G2zzTYxSMOj5QsuEP9HGis8T7wq5aZKnCZeWVaCsxAKsCPGl5uq9y6RcoxFX1gQaPEEs9jLp0Xj+2B8ZTbAy42dFezpjP5z48eCgBGsUBUEWxL+ezgIfg4IoINfDAXoArxYcKFPIuDFg0dMKAZw4u1lJTze5ddff71MCAKL6Xwlr4oAoi9Xy7jpo89DjGebdgFYb4C2/x4oxdPn55ACBgAR8JsoD2/wIYaCGqRIw2vNnHM+EBOO8R3FObCKjCfd/Fb0+2TAy+fkLuaa4LwhvIfFXZz7xMYGFwcGgXf58uWx9H7EhPvFoqn6Fw+uqbblDYrPukFua96wBA3PsK+U5z+nv40aNbJfg+WI/fdcP8GMEPHnckW11X5SoKorIOCt6meAxp+1AqkW6sQ3HgSnYIootuPmSOygX9QEzAGmQYDGO8frcR+Xy6txIDdYbcy/quamyQ3VG9sCCX4BG55f73UKgmY2wBtWTB+HTCEBYBADWolD9TlKgTQgB28XhreTMcQXfvDaAY9+PHi/gWQfopAIeFmURCECv48vt4xuXk+vUXChYEUAMX6uecghFZv36jLXft7J5+o9wsQXB/P8MlYeYr799tuEwMtYyNHsC0wwJrQOxqLGl72tyHjCznOm26WqtAbIEnbijfOFccZX2sum0low13WYvgeBlwdSHir824VE+3NeBhe3MY+c4/4cTLQP5woV2JSWLMyMaBspkFwBAa/ODimQpQJBL1y6pojz8x47tiV3Kt7VoBcIyCL/LN7c+FhP9uEmiScvfiU+3iuKNADO3ojrxHscnxkAzx8eQhYYAZLBhXCDBw+2srh+sVy6MQUXQqXb1n9PHwEDn3qNz4FCvNNBC0I7C8oIYQgCGl674Op39mUVP7GRLMrzFgz3YIW8h2qAE49wfBYLFlfxGpvj+9fbPNjwwOCzIcTHafpjAawsCAt+z2t3UpX54hN+W4CUTBKAN7HagA+r8zm2N9oi/MKDHXPGfj7+GJj3r9XZhxAJFiHGp0TjbQDHCMaasn1FxhN2njPdDo8sYR9YsrAdvLvB85nzNFiIJQi8wVzTYUoLB2OBw/TdL/wLbkvcNTHZQYhlvjgnCVOIX0xIaAMhGz6NWbAtHk4Ip4nP9Rymb9pGCkiBsgoIeHVGSIEiUIAFUuSAJXSBRVZhjHy+7EO2AYA1vnqXb4PXvniuAGWADY8x1cdK1eI9koyPBwb+Rbv4QhTpxolnjmpXFKAgOwJarr322ul2q9D3eK05Dt5l73EP0xDADOQBTsnmOb4d9gEgAS+8oVGBJuYZT/CPP/5o4UEbbrhhGAkrfRuuN/rJ9UaISrpqaZwbzBfnIpkg2E9e3UqfNh0wwgoIeCM8uRqaFIiiAulewUdxzBqTFJACUkAKZKeAgDc7/bS3FJAClayAgLeSBdfhpIAUkAIRUEDAG4FJ1BCkQFVSQMBblWZbY5UCUkAK5EYBAW9udFQrUkAKVJICLAp67rnnLNbWpwqrpEPrMFJACkgBKVCiCgh4S3Ti1G0pIAWkgBSQAlJACkiBcAoIeMPppK2kgBSQAlJACkgBKSAFSlQBAW+JTpy6LQWkgBSQAlJACkgBKRBOAQFvOJ20lRSQAlJACkgBKSAFpECJKiDgLdGJU7elgBSQAlJACkgBKSAFwikg4A2nk7aSAlJACkgBKSAFpIAUKFEFBLwlOnHqthSQAlJACkgBKSAFpEA4BQS84XTSVlJACkgBKSAFpIAUkAIlqoCAt0QnTt2WAlJACkgBKSAFpIAUCKeAgDecTtpKCkgBKSAFpIAUkAJSoEQVEPCW6MSp21JACkgBKSAFpIAUkALhFBDwhtNJW0kBKSAFpIAUkAJSQAqUqAIC3hKdOHVbCkgBKSAFpIAUkAJSIJwCAt5wOmkrKSAFpIAUkAJSQApIgRJVQMBbohOnbksBKSAFpIAUkAJSQAqEU0DAG04nbSUFpIAUkAJSQApIASlQogoIeEt04tRtKSAFSleBv/76yzq/5pprlhnEv//+61ZbbbWcDSxVe//8849bffXV0x4r131Ke0BtIAWkgBTIgwIC3jyIqialgBTIvwLLly93xx13XJkDbbnllu6UU05xZ511VlYdGD58uPv555/dZZdd5g488EA3ceJEt9NOOyVsE3gdM2aMa9eundtoo43SHnfp0qXutNNOc7vttpvth/3yyy9u0KBB7plnnnGbbrqpO/PMM90ZZ5zhPvjgA9enT59ybV500UWuZcuWtv+jjz4a+36ttdZyTz31VNL2gOk33njDjrVs2TK37777ur59+7rtt9++3DG++OILd/XVV7s5c+ZYX/v16+dq1aqVdnzaQApIASlQjAoIeItxVtQnKSAF0irggfeBBx5wW2+9tQM858+f7y655BI3ePBg16RJk7RtJNtg2LBh7qeffnK9evVys2fPNtBbd911E27+448/uqZNm7oXXnjBbb755kmPiUd16tSp7vbbbzfY3GuvvWLA279/f/fkk0+6Dh06uHnz5rkZM2a4G264we28887uoYceirX54osvulWrVrk777zT7b///q5z584GpEcccYRtA9Bec801Lll7tWvXdq1btzaApc933XWX22GHHQya473N55xzjo0dPe+++263xRZbuMcee8ytscYaFdZVO0oBKSAFCqWAgLdQyuu4UkAKZKWAB97Jkycb8Hpr1aqVa9u2rWvQoIEbN26cgetXX33lRo8e7RYtWuTuuOMOA06AEaCtXr2647U9Xt0nnnjCwG6zzTZz2223nbv88sutLb7bZptt3Ntvv+1GjRrl8H4CmRdffLG18dZbb7ltt93WAHLs2LHWH4AxaN9++6079thjXcOGDc3LGgTeZs2auT///NO99NJL1ke8xQcffLADvL3NnTvXPL+dOnVy559/vvW5UaNGBq+AL95t4BVL1l7z5s3No8sP4HvFFVfYMfEU0x9vK1asMA8y2w8YMMANGTLEjR8/3n6AZpkUkAJSoNQUEPCW2oypv1JACpgC8cAL2L766qvu2muvtRCEb775xl144YUOAN5jjz0MNPk/wEiYAuAKxPbu3dtNmjTJoJbwAcD0pptucieeeKIBrw9pwAN6/PHHu/POO89AEw8sbR566KEGonhB69evbyEFG2+8sTvyyCPLzBT9mz59ujvqqKMslCAIvD169HCvvfaamzZtmvvss88snAF4pV/eAGhgGC8v3mYgvkWLFmWOcemll1q4RLL2Bg4c6E4//XQD5HPPPde8t8A34w32F68xYSGMq1u3bu7+++93t912m/0wZpkUkAJSoNQUEPCW2oypv1JACpQB3ng5TjjhBAPXd99914AXiAQQgTY8vngpefW/ZMkSi9EFkgFEABNgxDp27Ohq1qxZBnh5vT906FADTvb/9NNP3XfffWfhDmFCGoL9jAfeZ5991ryu9erVcz/88IN5oInlxfuKEaoBqAKzvo98xj54ojk+nuvff//dwiYIr0jUHn3Ha8vDgPc00z5hEDwMeAPMgWIgm3jhBx980MJErr/+evNSy6SAFJACpaaAgLfUZkz9lQJSoAzw4p0kDGHttde2UALCETCAF++th0aADXCLtwkTJhhEEibAa3wMsGXRWtDDy4IyIPmWW24p00TYGN5UwEs4w4gRIwy+AU9CGQhVoG/YPffc40aOHJkypMCHHXhPc7L28N6y7QYbbGA/QHC855Y4YrzMQHb37t3dvffea5rQL0ItZFJACkiBUlNAwFtqM6b+SgEpUAZ442N4vTzxwIsX9b777otBJJD5ySefuF133dVe2+Op7dq1q+1ObCthCUHgZVvCHnyYAR7e9957zx1zzDFZe3gXLFhgoQxHH320hSoQOoHXlmwKGJ7oWbNmxeCdzwDXKVOmWIgE8cqEKxDKwSI3Fsglag9PLn0mbrlOnToW/kEIBmANYHvz4RKNGzd2t956q3l2H3/88XLb6VSUAlJACpSKAgLeUpkp9VMKSIEyCiRbtJYMeFeuXGkLzQDDww8/3LyWeG0feeQR9/DDDxssEhbw22+/mbeXhV9B4MVzzH54QwlJIGUXC9UImyCOl5hgYngByvXXX9/CE5JZfEgDoRYcm7hhFqcBwEGvK/G1hFjgvfXmx08oBmEKwPw666xjHlv+n6g9jgugV6tWzeCa8A5An0wXixcvNvAnJIT4XTy8eHrRguMyVhb1hcndq1NVCkgBKVBsCgh4i21G1B8pIAVCKZAOeEntRQYFH9JAo37xFf/Ho4nndL/99rOUZsS8EvuKAassdOvZs2eZPLyAJGnFsEMOOcSgF2+pT+FFJgiyNBBXy75hgZcFbfQFWMaATBbHAZd8B2i3adPGXXXVVWWaBNaBVmJ+ydJw8803W99TtUf6M8IySG9G2jO8yPzrs0P4hWrALh7v//znPwbweHrJbCGTAlJACpSiAgLeUpw19VkKSIEKKwDcUuhhk002KdcGn+MlpYBDMmN/YDG+yASe4fXWW6/C/WJH4oGBy1THT3QAoJRFbvGWrD3GQIxyon2CbZD67Pvvv7ftlH83q6nVzlJAChRYAQFvgSdAh5cCUkAKSAEpIAWkgBTIrwIC3vzqq9algBSQAlJACkgBKSAFCqyAgLfAE6DDSwEpIAWkgBSQAlJACuRXAQFvfvVV61JACkgBKSAFpIAUkAIFVkDAW+AJ0OGlgBSQAlJACkgBKSAF8quAgDe/+qp1KSAFpIAUkAJSQApIgQIrIOAt8ATo8FJACkgBKSAFpIAUkAL5VUDAm1991boUkAJSQApIASkgBaRAgRUQ8BZ4AnR4KSAFpIAUkAJSQApIgfwqIODNr75qXQpIASkgBaSAFJACUqDACgh4CzwBOrwUkAJSQApIASkgBaRAfhUQ8OZXX7UuBaSAFJACUkAKSAEpUGAFBLwFngAdXgpIASkgBaSAFJACUiC/Cgh486uvWpcCUkAKSAEpIAWkgBQosAIC3gJPgA4vBaSAFJACUkAKSAEpkF8FBLz51VetS0yNoBcAACAASURBVAEpIAWkgBSQAlJAChRYAQFvgSdAh5cCUkAKSAEpIAWkgBTIrwIC3vzqq9algBSQAlJACkgBKSAFCqyAgLfAE6DDSwEpIAXCKPCf//zHbbrppmE21TYFUuD//u//3L///uvWW2+9AvVAhw2jgK6lMCoVdpv777/frqUzzzwzZx0R8OZMSjUkBaSAFMifArpJ50/bXLUs4M2VkvltR9dSfvXNResC3lyoqDYircArr7ziuOnssccebpdddon0WLMZ3D///OPmzp3rPv74Y7f11lu7ww47LJvmtG8lKKCbdCWInOUhBLxZClhJu+ta+q/QP//8s1u+fHklqZ7ZYZ5++mm35ZZbysObmWzaurIUeOCBB9y9997rVl99dff8889nfFhg9bHHHnM77bSTu/zyyzPenx1at27tfv31V3faaae5s88+u0JtRH0nYPekk06yP3bYZptt5h5++OGshp2LucuqA1VgZ92ki3+SBbzFP0f0UNfSf+fp1tuHu8XL/+PWXWfdopu4uR/Ndu1aHyXgLbqZUYdMgWyB1++Px5HXGRWx1157za1atco8vDVr1qxIE5Hf591333V9+vSxB5MbbrjBrbPOOm7PPffMaty5mLusOlAFdtZNuvgnWcBb/HMk4P3fHN04+A638o+N3XobbFh0Ezf7/bdd66b1BLxFNzPqUCjg/eWXX9ydd97p3nzzTfPC4lk84YQTXNu2bd3s2bPd1VdfbeEI2DbbbON22203d9VVV5VTd9q0ae6ll15yH3zwgfvtt9/slXznzp3dgQceaNsvXbrUdejQIen+G2ywgRsxYoS1O3nyZPfggw+6b775xq211lruoIMOct27d3cbblj+D8CPP/5oHmiAccmSJbYwpU6dOm7gwIEOryne7aeeesr6tOuuuzrGS5v33HOP+/77712PHj3smIMHD3ZbbLGFff7GG2+4Ro0auXPPPde9+OKL9tnKlSutPfpwxBFHuIsuuiim7wsvvOD23Xdfe9WDBueff7474IADQo8Dza699lrT3+vMsenDnDlz3LBhw2xsGCEhPXv2dDvvvLP9nux7+ht27p544gk3adIkt+2225pusvAKCHjDa1WoLQW8hVI+s+PqWvqvXgLezM4bbS0FYgqk8/B27drVzZ8/3yCwdu3a7sMPP7R9CT3g9zDQNGvWLIMwrH79+vbvRx995E455RR3zjnnuFNPPdV99913BoL77bdfDBbZ7s8//7Tt1113XUd80MSJEw3A6U+TJk3cO++8Y6/5Aefrrruu3Mz6/gPMdevWdZ9//rn76quvDFT92H37tOlDBvie7c444wxrc9y4cQb0/fr1c8A78bPXXHONGz16tPULWP7pp5/c4sWLbXu8sIzllltuKRcq0qtXL3s9F3YcAG+8zgAvAHrBBRfY8Ro3bmzQy/iAbsIdvvjii6Tf04f+/fuHeli5++673aOPPpqTMIqqdunpJl38My7gLf45ooe6lgS8pXGmqpdFq0Aq4CUwHq8rNmjQINegQQPn4QeAxPMX5rX4448/7kaOHGnttG/f3u21114W84s3dfvtty8DvHiOvQ0dOtS8r9itt97q6tWrF4v3BfAaNmzoZs6c6aZMmZI0Brl58+YGzXg+TzzxRAsDwOsLrOOpBnDxvl5//fVuxowZrm/fvna8sMDLzRLvMA8CeJzvu+8+g0j6h+faAy+eceCeUIRatWoZiOKxDTsOD/rB2F2AFW8z4MsDCMB9xx13WP+HDx/uJkyYkPJ7xouHO104yssvv2zQXqNGDfOky8IroJt0eK0KtaWAt1DKZ3ZcXUsC3szOGG0tBeIUSAW806dPj4Un8Eq7WrVqjnhb70kFgh566KG00PTtt98aOHtvLV3AYwtk4vENeng98OJRHT9+vPWW1/mHHHKI++OPP1yLFi2SziFwHJ9LEy8qsBg0vLOA7THHHGMfE7bQrFkz8xYnA17AELCM9/AC/cBlvHmPswfevffe29188822WUXGkQh4O3bsaB7dRIZmY8aMSfk93ugwwKuLpuIK6CZdce0qa08Bb2Upnd1xdC0JeLM7g7R3lVcgFfB+9tlnrlOnTqYRnl3iQomHveuuuyyk4Nlnn415eIlPpa1EBvAConhi8YQC0sS7egiMB94gRF566aXu2GOPjTXrPbb8i8fU29dff+123333cofH68p3r7/+unlwly1bZtsAwnhgCaVo166dxePGAy/74pHGhgwZYiERQeAFjgFlxkKGidNPP9080cTppgJe2st0HImA98orr3TvvfeehVp4zy5tc2OoXr26GzBgQMrv0RngTTV3tEccMGEpFFBo2bJllb9mMhFAN+lM1CrMtgLewuie6VF1LQl4Mz1ntL0UKKNAMI6V1+Xe1lxzTXs9D8QBhUDV4Ycf7h555BHz1B511FGWhiwYn9uqVSu3ySabxOJefVvA5dSpU92RRx5p0EQ86A8//OAOPfRQA8gg8BJq4F+bk5HAQ+xqq61mUAd4AtoY3mGyOixYsMB9+umnsc/9cQFRvLgHH3ywbfvll1/aQjFs7NixthDLh0wQZgHgB2N42c6nTMMjjQZsg3kvMWERhCYQFkHfeSDgBpoOeDMZB8dLBLxAPFCL8TDCGFasWGEPFDyUMN5U3xMC4WOrk80dbSuGt+J/NHSTrrh2lbWngLeylM7uOLqWBLzZnUHau8orEATeeDGIY+WVOQumgomuAUi8i+uvv76VEezSpYtbuHCh7b7jjjta1oKgAZnAKgCKAY/A2WWXXWaAHAReMiEkywRAf4BtsjU888wzZY4BbAa9nHzJ8WgbuPbmY4YBdsZE3z3k0ncfIsCxMLygAB/HJW6ZHzy/xA+jC/BNlgS+x+u98cYb2wMCGhFjmyikgXYzGQfb+zjo+Py7APuoUaNii8/Ylm2If8Zzm+p7vMDp5o72aJ8HHeaGEBZZeAV0kw6vVaG2FPAWSvnMjqtrScCb2RmjraVABRUgjRXgyMKlRDXnWQhGbCoeXLzD8QZ8kuYL0MNTmq3RHqEStLf55psn7JM/Bjl+gVAAL77vADvgCySSZi0Yw+v3/+uvv2x/FnclMr7Hs8q41lhjjYyGlsk4UjWM/vzwALHRRhuV2zTV9+nmLqMBaeMyCugmXfwnhIC3+OeIHupaEvCWxpmqXkqBElAgPoa3BLqsLha5ArpJF/kEOWdvR3jwTfQgX/y9rzo91LUk4K06Z7tGKgXyrAChChTYIHaY2F2ZFMhWAd2ks1Uw//sLePOvcS6OoGtJwJuL80htSAEpIAWkQB4U0E06D6LmuEkBb44FzVNzupYEvHk6tdSsFJACUkAKZKuAbtLZKpj//QW8+dc4F0fQtSTgzcV5pDakgBSQAlIgDwroJp0HUXPcpIA3x4LmqTldSwLePJ1aalYKSIFSUSBdFolU4yBLBLHLpBxLlF2DlG1kwgjmaC4VXYqhn7pJF8MspO6DgLf454ge6loS8JbGmapeSgEpkHMF/v77byvPTHYJjPzGVJ+Lr4ZGurjzzz/f/f7772Xy6L766qvuhhtuiOVHptocVecwimmQa5miHhgp2agiR2o3WXgFdJMOr1WhthTwFkr5zI6ra0nAm9kZo62lgBSIjAJUrKPIx4MPPmi5iClOQYU1/qVABka6pT59+lhZ5WDhiN9++80yUVCYg2p6r7zyihs0aJAbM2aMozgHxTYoqkF7FBihQAWfX3fddZHRrzIGopt0Zaic3TEEvNnpV1l761oS8FbWuabjSAEpUGQKUOHtpZdechMmTDDv7pIlS9x5551nZZO322476y3ACsxS1pl/faU0Sj1T0Y4qeGuvvbZtS5nkNm3aWGloQJhS0niGseeee848vC+88IKjzLMsnAK6SYfTqZBbCXgLqX74Y+taEvCGP1u0pRSQApFSAMDt3Lmz23DDDd2ZZ57pnn/+efPG3njjjTbOKVOmWLllvLaELzz55JMx4AWSKReMN9jbxRdfbKWhKfl8zDHHuO7du7tjjz3Wvv7oo4/s98cee8zKJ8vCKaCbdDidCrmVgLeQ6oc/tq4lAW/4s0VbSgEpECkFCEu4/PLLLTaX0sbcuHv27OmOPvpo9+GHH9r/b7nlFlevXj3zAgeBl5AFvLze44swgC6hEP369bM2evfubV5e7JNPPnEXXnihGzduXE5KQ0dqIlIMRjfp4p9pAW/xzxE91LUk4C2NM1W9lAJSIOcKALPz5s2zOF7s3nvvNYAdPny4Ae6sWbPc/vvvb98tWrTILVu2zDVp0sTicQllSOfh7dGjh3l6Me/hnThxottoo41yPpaoNqibdPHPrIC3+OdIwPu/Obpx8B1u5R8bu/U22LDoJm72+2+71k3r2RvHXNlq/7ISRSYFpECVVqB9+/aubt26rlevXqYDKcYAVDI1bLvttrEMC3w3e/Zst3jxYluoxn7vvvtuuRhevjvxxBMTxvCygG3IkCGK4c3wjBPwZihYATYX8BZA9AocUtfSf0UT8Fbg5NEuUkAKlLYChB4AriNGjLDYW2J2WViGpxfgDVp8SAPhEK1atXKnnXaaZWl4+eWX3eDBg8tlabjzzjstLpj4XmVpyPx80U06c80qew8Bb2UrXrHj6VoS8FbszNFeUkAKlLwC3ABuu+22WB5eikOQXQGQjbd44OV7sjaQh9fb2WefbQCMkYeX+OCFCxfa71tuuaV5ePlXFl4B3aTDa1WoLQW8hVI+s+PqWhLwZnbGaGspIAUip0C2ldaWL1/uttpqK7fWWmuV02blypVWaU0FJyp22ugmXTHdKnMvAW9lql3xY+la+q92Dzz0iJv2zsyElTErrm5u9ly0aKE79aRWiuHNjZxqRQpIASlQOgroJl38cyXgLf45ooe6lop/nu6//34rdqRFa8U/V+qhFJACUiCnCugmnVM589KYgDcvsua8UV1LOZc05w0KeHMuqRqUAlJACpSGArpJF/88CXiLf47k4S2NORLwlsY8qZdSQApIgZwrIODNuaQ5b1DAm3NJ89KgrqW8yJrTRgW8OZVTjUkBKSAFSkcB3aSLf64EvMU/R/LwlsYcCXhLY57y1kv+mH7//fdWnWrDDYuvMkr8wFmR/+KLL9rHDRs2zLjPVP5asmSJq1Gjhtt7773zpms+Gv7iiy/c+++/b6tfKeCQKGtBPo6rNqOrgIC3+OdWwFv8cxRl4H156mvu86XLSmMS0vSSvPCHHLCPFq1FYjYzGMQLL7zgSNr/888/x/baYIMNrNLVWWedlUFLlbvpTz/9ZNW2sLvuusvVrFkzow5Q7vb555832L355psz2reQG1933XXutddei3Xh0UcfdZtsskkhu5T1sZcuXRrLs0u+3rXXXjvrNtVAZgoIeDPTqxBbC3gLoXrmx4zqtdSpSw+33ma7Zi5IEe7x8bxZ7tRWhwl4i3Bu8tal8ePHu3Hjxln7eAlr167tvvvuO0e+U7y8jz/+eN6OnW3DVRF4ueEdf/zxVpr3oosucjvvvLPbc889izLPYSbzu2DBAquQhj311FNuvfXWy2R3bZsDBaJ6k86BNEXThIC3aKYiZUeiei11vbS323zH/UpjEtL0cvb7b7vWTesJeCMxmyEGQfhCu3btbMtddtnFSr1SmhWbP3++I8Zl4MCB9vucOXPcsGHDLATAb9+zZ08DrgceeMDhJeb/5LWbMWOG22677dw555zjDjroINueP9SjR4+2srB4kr0HuUOHDm611VZzV111lcPL16ZNG7d48WI3a9YsOx7HWLZsme0PkFMy9pJLLjEwDwO8n332mXvyySetrO0PP/xgntCWLVu6M844w3kPL6VuKW+bqN8XXHBB0uNT4atz5842Psb56quvOoof8P9evXq5dddd176bPHmye/DBB90333xjY+D77t27JwzBAGTx2PKgQX/R6bDDDnMXXnih6USFMT7HqCTWuHFjd/7555eZ7TD9SqY3x8Db/+abb1oFMyqinXDCCa5t27Zu9dVXj801mv3xxx/ugw8+ME0Zj5/rVOcKYRi33367jYsywZw7e+21l50XwXERqtG8eXP37LPPWqEJ74EHhidOnGhhKDfeeGO5s/yJJ55wkyZNsvn0526IS0GbKHdoSZwDAt6SmKbI5uEV8KY+/1b7FwKSFaUCQM21115rfbvjjjsMIhPZp59+6gA/DMACej///HMDtocfftgAhtCAeAOEgDfsyiuvdO+9955BWt26dQ0OgbsuXbqYx5Iys3iWg8a+gBZwRVsff/yxgS9gfffdd6cFXsCa8rPsAwBts802jrhd/h0xYkQMeFP1+6ijjgp1fGCQ1/AcC8P7SkgIcAZAArpNmjSx0rr068ADD3SEJsRb0ONev359e/AgVhnNrr/++nLA26hRI9epU6cyzQQfBJL1K5neV199tR3Te/s//PBDa9uX8vUPCXzG/PswGLYHTtOdK9OmTbNxBO3www93s2fPLge8nDNdu3a1TUeOHOl23XVXe1D56quv7EHt3HPPLacf5wXnDaDOuSkLr0BUvVLhFSj+LQW8xT9H9DCq15KAN/X5J+At4utzwoQJ5nXF+D+eVTyT3vBQPv30065///7ujTfeMGgEfAAqABkbPny4vYIGePES8zteP98O4RJrrLGGefMwIAXvHDCyaNEiB9QNHjw4BryAXatWrdzff/9tcE0pWsIreOVNuz52Fc8g/UsVw8t4vPcT2ASsgPpvv/3W7b777jHgTdZvwPi3334LdXzGDZABafTTxwUDvXhKGQsL62bOnOmmTJli3tJEDwnHHXecQfMpp5ziOnbsaG1dfvnlph0ed/rjx5QsdjcIvMn65YE3qPduu+1mx8QGDRrkGjRoYA8WHAePLN5TD7zsN2TIELdw4UKDe4w4aoA91bnCXHrgZT/AdPPNN7dzJFFIQ/v27c0zjlce77+H3IceeshtscUW5a4uPMXoyjmG11kWXoGo3qTDK1D8Wwp4i3+OBLylMUcKaSiNecpZL4FH72XEkwb4ASPc+PAqeq8dEIRHN5HhIX7rrbfKLP4KhkoAQQAmr9ATGVAJFHsAA+bw6vo/GoQvAEnxNnbsWMsmkW7RWqK+Ex7Aa/r4RWvx/d50000tfCKT4wOl9913n8E43t0WLVokna/4WFU05zU+1rdvX4f3Fg8qfcVuuOEGg8NMgNcv5gv2i4eYRHpPnz49Nk+EBVSrVs0eMPw5AkgS9hK/0A8vOAawMqZU5wphEJxj8cCfLIYX2Aa6ORd5EELTUltkmLMLNs8NCXjzLHAOmhfw5kDESmgiqteSPLypTx55eCvh4qroIfCc4UHDiI296aabXPXq1c1LizfPA68PRwBOvWfXAynb87o5CEHEsXpoBbiIC/WQ1qdPnzIpwAhjALQTARhevDFjxph3kRAEFjKdfPLJ1t8wwPvLL7/EYorxrALmeFuBLbyseJZT9RsAzPT4vXv3tlhgvOH33nuvAawHWWKavX399dfmZY43UowR6kEICTAf9FKPGjXKxlMR4I3vVyK9iXf24RFAJqEjjz32mHlu/bkQ/5AA3Hqv8IABA+y8IXQl2bmCNumAl/hlnxYvCPxeKwCckJBERvww8d88rOAVloVXIKo36fAKFP+WAt7inyN/b+RvUNRMwCvgLelzGpgBarwBObw2J07SQ87rr7/ugBmM71lktGLFCgcQsj+Akgocd9ppJwuFwFNKm8AKMbksJAMMWZCUCMCAJ+AbQD3zzDPd3LlzDSbDAi+QS0yqj8PlVftHH31U7vW89xjGgzrxq2GPz5hYdEWYBsard+JMee1PbCtG+Aap0/BmEuvqPw+eQHhxX3nlFdMJuJ86darpxut7wjgAzEyAN1m/EulNGAmhJzyEAKyEgDzyyCMG7GhIaIUHXh5CaBtN+R6PNtsyP6nOFfIHJwJebuSEc2D777+/hTr06NHD5p63A5xrGMfF+8xDVCJTDG/F/xwJeCuuXWXtKeCtLKWzO05UryUBr4A3uyujwHvjMSSLAbG8fsEVXQK4mjZt6i677DLrIa+q8TAGtwFKhg4daq/wUwEvkIdHE48qMalB87GqiQCMY3Xr1s3hecTwBAOKGN5TvICpQho++eQTW/QEkGHA0x577GGv3olXjfdWxgMv0Bf2+LSNZxYDDi+99FKLS+XYeKefeeaZMuMmljjoLfdf4oEGej3g8TkPBcRR77DDDrZg8LzzzrPNw8TwJutXIr1pE6DmISEYxnHwwQdbbDIZPLxmwXaZB/pHXG+6c4VFg4mAl/04v3j48jo+99xzlm4NiMZDjfFGIlVuaNoAvHlA4A2BLLwCUb1Jh1eg+LcU8Bb/HNHDqF5LAt7U559CGkrj+rRe8vqYC5U4UTxpiezHH390/OChJYY2UwMAvfeY44SpEIbHEfCpaHEFQJaFXKRKA9QytWTHDy4OIxMDDwDolqhoAhBHLDPjZ9zp8sziZceLTpuZjjuTfiXTAs3wWLP4K9jX4EMC8durVq2y8eTqXEEn9Obc8mnd8ITjKcdY7IgmstwrENWbdO6VKlyLAt7CaZ/JkaN6LQl4BbyZXAfaNkIKhMkDXIjh5rNfhahO51OR7bvvvglz7xZC4ygeM6o36SjNlYC3NGYzqteSgFfAWxpXoHqZcwXw1pLxACOMwS+0yvmBMmwwn/0irplQEcIski0cy7C7KTcnq4MPBwF4ycksy48CUb1J50etwrQq4C2M7pkeNarXkoBXwJvptaDtpYAUkAJFp0BUb9JFJ3QWHRLwZiFeJe4a1WtJwCvgrcTLSIeSAlJACuRHgajepPOjVmFaFfAWRvdMjxrVa0nAK+DN9FrQ9lJACkiBolMgqjfpohM6iw4JeLMQrxJ3jeq1JOAV8FbiZaRDSYGqpwBp6SiSctBBB1W9wVfiiKN6k65ECfN+KAFv3iXOyQGiei0JeAW8OblA1IgUKGYFli5d6oKV4kgn16RJE9e9e/dQqeWyGRs5l9988013zz33ZNOM9k2jQFRv0lGaeAFvacxmVK8lAa+AtzSuQPVSCmShgAfegQMHuq222sp9/PHHViGPanJUlcunCXjzqe7/2o7qTbpy1Kucowh4K0fnbI8S1WtJwCvgzfba0P5SoOgV8MBLRT4qvmGXXHKJFaWgMhxGsYzbbrvNyg1TNKJNmzbupJNOsm0oanLTTTfFSkNTbprKeZQrnjNnjlXhA2y9XXDBBQbSlBkOAi83EqrnEeKAkR6NNmrVqmW/k7OXMtaUw6YqX79+/ew4svQKRPUmnX7kpbOFgLc05iqq15KAV8BbGlegeikFslAgHnipsEZZ6DPPPNO1bdvWWr7mmmusDPRFF11kv+MB7tChgzv++OOtNPGCBQssLALYpdwyFekor/zOO++4vn37uhdffDHWw+bNm1tZa8pbB4GXKn+TJk1y++yzj4VSjB071tE3X0aYfMgY+1El7uijj3aUiJalVyCqN+n0Iy+dLQS8pTFXUb2WBLwC3tK4AtVLKZCFAh548aRS5pmQhjp16jjKC1NOGe9uq1atDICBUQwwxRML+B533HEGwq1bt7bvhg8fbm1kCrzsy7FmzZrlFi9e7D766CPzGntYBniB50aNGmUx2qq5a1Rv0lGaTQFvacxmVK8lAa+AtzSuQPVSCmShgAfeFi1auNVXX90qzBHSwO8Y8Hn++ee7Lbfc0oDY2xZbbGHb4dm96667XM2aNbMC3kWLFrlu3bpZyET9+vXd77//7mbOnFkGeAmd8NCdxZCr3K5RvUlHaSIFvKUxm1G9lgS8At7SuALVSymQhQLxIQ133323e/TRR92gQYNcgwYNHKEGxOsOGTLE1a1bt8yR/vnnH9esWTN3xRVXWKhBvIcXD23v3r1DhTQQL0xsLscHvPH09uzZU8Cbxdz6XaN6k86BNEXThIC3aKYiZUeiei0JeAW8pXEFqpdSIAsF4oH333//db169XIffPCBGzNmjC0ew8P7xx9/uOuuu84yOcybN8+999575t0FaInhbd++vS1gI+Z2jz32sJAG4oGJ8wWIgefnnnvO3XfffdZ+fAzvsGHDbFEc+3GskSNHlgtpkIe3YhMd1Zt0xdQozr0EvMU5L/G9iuq1JOAV8JbGFaheSoEsFEiUpYGbL5kUAE8AFS9v//79HWEH3gh5IKThq6++siwNn3/+uWV5wOtLWALxvRgg++STT9r/d999d7dw4UKD5MMPP9yNGzfOIJc8vMuXL3eXXnqp++6772xbMjDg8Q3G8NLm3nvvncVoq+auUb1JR2k2BbylMZtRvZY6denh1tssGllvFsyb7U5rdZitO8mVrfYvriCZFJACVUYBbsorV650xO/6eN6///7brbHGGqYBsHvhhRdaDK7P6MDnv/zyi/vrr7/cJptsklarZcuWuU033dStv/76abfVBuEUiOpNOtzoS2MrAW9pzFNUr6Wpr77hPl+6rDQmIU0vp7873R28/94C3kjMpgYhBYpIAWJuX375ZUsRhpeWsAbSjbHITVYcCkT1Jl0c6uamFwLe3OiY71Z0LeVb4ezbv//++x3+WHl4s9dSLUgBKRBQgJCG6dOnG+gCuQcffLDbcMMNpVERKaCbdBFNRpKuCHiLf47ooa6l4p8nAW/xz5F6KAWkgBTIiwK6SedF1pw2KuDNqZx5a0zXUt6kzVnDAt6cSamGpIAUkAKlpYBu0sU/XwLe4p8jeXhLY44EvKUxT+qlFJACUiDnCgh4cy5pzhsU8OZc0rw0qGspL7LmtFEBb07lVGOlpAAptcgQwMp/ChpkY2+++ab76aef3J577ul23HHHbJpKui+ZDubOnWvlebfeemt32GGHpTwO20+ZMsW2OeSQQ0JlQsik419//bXl3F1rrbUc5X3//PPPWKqwhg0bWraGqVOn5u34mfRV2yZWQDfp4j8zBLzFP0dR8fCS+rH/KqcyXQAAIABJREFUDbc457K7HxbrjC1atNCdelIrLVor1glSv3KrAAuoyB/7zjvvWJ5Yb7vttpu79dZb3bfffuuo7IXddtttbu211w7VgVNPPdXyxFKIoW3btqH2yWQj4JWqZvQf22yzzdzDDz+csgly5foywLfffrurU6dOJodMu+2rr77qrr/+entYeP755w34TzzxRNuPksLk3O3QoYP9PnjwYEtJJisuBQS8xTUfiXoj4C3+OYoK8M5fsMCNuPcJt8U2u5eG6Bn2cvb7b7vWTesJeDPUTZuXqAKXX365VQoD0vbaay8rnLBkyRLLEztx4kRLn3XxxRfb6J566im33nrrhRppvoH33XffdX369LF+A+TrrLOOeZNTWaGBt0aNGg4oxsjQECbXbiixtVHOFBDw5kzKvDUk4M2btDltOArXkoA381NChScy10x7VIICP/zwgzvllFPsSO3atbOKYRjFDx544AHzoHbu3NmxHUYqLV7LN2/e3D377LNWOtdXCQOGAWSg7sYbb3TxwMtNavTo0ZaHFq/sBhts4Fq3bm0ez9VWW63caOnDnXfe6QiN+PXXX82De8IJJ5i3ePbs2e7aa6+1zzHy2tL3Ro0alWvntddes3YYA32jWAOGh5cxzJkzx+DzggsucF9++aVBNDZixAjr45VXXulWrFhhOjFutqciGg8FGFXOevbs6XbeeWeD2VQeXvRCT2zgwIFWiviqq65yVHA74IADrO3Fixe7ffbZx4pSUI0Ne+aZZ6zSGh7jnXbayaEl1q9fPztuvD3xxBNu0qRJ1j7HkYVXIAo36fCjLc0tBbylMW9RuJYEvJmfawLezDXTHpWgAAmnecVPrKkHR8rRUsoWb++qVavc2WefXQ54gcCuXbvaPiNHjnS77rqrO+OMMywkwoNzPPCyD/GtQHPdunUNDvEid+nSxR1//PHlRkv78+fPt3jY2rVruw8//NC2oT/8fvXVV8fALxnwsr/vJ/sS5+vDNgBePNsUfiAX7uOPP26Qz+8YJX33228/g2xs6NCh1hfAGGvcuLFBL2WC2Z9wimnTpqUEXqquBUMcatasGXswoE281WiCNW3a1PXq1cu9/fbbNlb/PfoFx5AoLIMCF48++mioMI9KOM1K6hBRuEmXlOAV6KyAtwKiFWCXKFxLAt7MTxwBb+aaaY9KUmDy5MnujjvuiIGWP+z+++9v8MaCsEQhDe3bt3fffPONa9mypWvTpk3MO/zQQw9ZOd0g8OJ5Pf30061pPLF4WgHERYsWWRwr8axBI4zCx7oOGjTINWjQwHmIw+uKBxNvMp7bVLG71113ncPDyz7jx4+3+ONgDG+1atVi/QZ2gVwA1gMt4I8XldhbPNgDBgxwb7zxhnlOAW88rmiHDR8+3MI/Unl4UwEvIAxMMybG5sdJn2bMmGFQTR8pTZwuDhkvOjHE6Ny9e/dKOpOicZgo3KSjMRPJRyHgLY0ZjsK1JODN/FwT8GaumfaoRAUAV17vv//+++ZV9caiNbyaiYAXDyIQyvetWrUySMM77EMcgsDLq3le3ScyvLO8rg8a1cj89ryaB0wBVwAWA+b4PB3wsmCOEAG8sbSXKIaXEImVK1ca+BJyAejPmjXLjnPssce6p59+OuZt7dixYwyI48dCiAXtVxR4/eK+F154wQH5fuGbP2aqMVTiqRL5Q0XhJh31SRLwlsYMR+FaEvBmfq4JeDPXTHtUggLEs5KhAdjafPPN7YgLFy50F110kf0f7yCv3T3w8trfl8IlDte/7vddBUgPPPBA+zUIvIQGcAyMGFnA2BuZHIiDDdpnn33mOnXqZB8B1cSpPvbYY5bpAMAGzsN4eG+55RaDY9oHjhMBLx5aoNaHE1x22WXmUQWw/Wf9+/e3OF8flgGke88ufeQPe/Xq1W2/bIH3lVdesUV4Hnj9MfEOA+Tc7H3cdbJME8QCA+2kl8MDLwuvQBRu0uFHW5pbCnhLY96icC0JeDM/1wS8mWumPSpBgU8//TQWk7r99ts7fubNm2ceT/8KnQVlxx13nPUG7ychBD169DAgw2uKNxbjFTxeV78ALQi8vK4nBIBX/gArUEyGAjItEB7gvcJ+yH///beFQADDwCWhBY888ojFGpPflswSYYA3GP8KuNOuD1nwsMgCOCDXG2ANMOKxxRgni8bo9+uvv25hDRgQTpwzC9rQABj/4osvcg68L774Yjl9fF+TAa9ieCt+8UThJl3x0ZfGngLe0pinKFxLAt7MzzUBb+aaaY9KUIDMBQDcRx99VOZoPvOA97yOGjXKPKx+QdVzzz1n2RrwaBJjihHTe9ZZZ8XaiV+0RlEGYnVZKBY0vJW8to83wJTFWkCyN+9lXX/99W2RGQvmUsXwAsiXXnppLExj9913Nw825mGRMTVr1szGBvCPGTPGvKge8oNhGuxHLC96+EwJfEYfWNTGw0KuPbwsLJwwYYJB92+//WYL/gB5zHu/47Wjfzwg4BUmploWXoEo3KTDj7Y0txTwlsa8ReFaEvBmfq4JeDPXTHtUogLAHgUm8IDyah5vZryxDR7XjTbayBZxYYQWDBkyxP7PIjTAL50BoWQZ4BiEUSQ6VrANvM0+pVjYHMDxfaDfAHou896Sr5gf2kSTfBmQS+YIwBvQJ/zC5/L1Dx75OnZVbDcKN+moz5uAtzRmOArXkoA383NNwJu5ZtqjBBTwqcj23Xdfy70ry70C3DROPvnkcg2Tpzc+hjr3R696LUbhJh31WRPwlsYMR+FaEvBmfq4JeDPXTHsUuQIsAOM1Owbw7rjjjkXe49LsHl53yj4T2sGNHi863l5im2W5VyAKN+ncq1JcLQp4i2s+kvUmCteSgDfzc03Am7lm2kMKSAEpUOkKROEmXemiVfIBBbyVLHgFDxeFa0nAm/nkC3gz10x7SAEpIAUqXYEo3KQrXbRKPqCAt5IFr+DhonAtCXgzn3wBb+aalduD1fVUtiKna6GNdFq8WqakbqZGZgMWOu222262K4u4SGvFwipSbpHeq9SMhVV+YRlpvCpq6eZ4ypQplhrN5wyu6HGS7Uf+X4pwHHTQQUmbJv8w1dZYBEcFOSqfpVt4R2PcpNNtywK9t956yzVv3jzroXE+Ucr5mGOOybqtqtRAFG7SUZ8vAW9pzHAUriUBb+bnWsGBN1ilKlH3k+XzzHyo+duD0q2UuQ0m/M/f0VK33LlzZyt364spZNIPijqQWopFR3/99ZeV5SXrwdZbb22FDchLG8bIRUs6L1JtFdIoSrFgwQLrAuDXtGnTMnltM+lbujnmgWDgwIEGvfkwsiG8+eab7p577knYvC/KQfoyijoAlXXq1HFXXHFF2u5QKjndth9++KGlUaPams9nnLbhJBv4anXk8ZWFVyAKN+nwoy3NLQW8pTFvUbiWBLyZn2sFB95Vq1Y58qBiFBu46aab7IebNgZkrb322pmPrBL3SAdDldgVlyvgBUrINUt6qUw9o8BfsLJZZY4/eCweQCjBS/lgvJNUCSPfbv369TPuUro5LjTw0r9PPvkklooNjzAPK2EWkIXZVsCb8SmT8x2icJPOuShF1qCAt8gmJEl3onAtCXgzP9cKDrzBLuONwytHMnv/aviJJ56wleA+tRSVr/ju3HPPtV3POecc24fV4ZQ+JeE/r18BZQoPJPMyjhs3zgoW8AcK7x+vavFw4r168skn7dUwOUynTZvmatSoYVW//OvkX3/91SpM0S9eBQPkQFUyD2+qfgFhtLFkyRIDfipkdenSxdrDCFHAy43Hbp999rGyuKmADeCtVq2a++WXXxK2h/eVYg6EKxC+gI5AIeY9vK1atbLxos2WW25pGl5zzTVlzi6+ozwuIMlqfTIh9OrVy6qMUTKX8Ad+WrRo4U477bSUc0MKMaqdUS0MDah+RmU05pL8rhj5XR988EErw+srqQF0VFQLaxRsoD+MbdGiRQb0Rx99tM031q5dO/vBMp3jIPASRnHbbbfZOUQf8ZSfdNJJjsppjIkx+Ly9vOG4//77rVAD5x7n/qOPPmraH3HEEVY0Aw97Kg/vSy+95AYNGmTnEQ+KpAQDfinOwXHTjZUHTL8tFdn4nf1pD48/Dy9cm3h4mctEevkiFIn6znf0n4IcPpsDYSby8IY9c/+7XRRu0pmNuPS2FvCWxpxF4VoS8GZ+rhU98M6cOdNAiipSvpQsEMHvS5cuNWCjchNACOwBrg0bNrQqTvPnzzeo9dAUlAcoI9aRV8C0A1D36dPHNWnSxCpasT8QQywkXk5eGfvKUP369bMYRF4FEysLrNBWIuAFNlL1i++APMrVApa0AbxTUhb4YHxU/GrcuLEjTpRXyl6LRNOdqj22B66I0eWhAYhEO34AJQ+8VCWjOhdATygD4F+rVq0yh2PMPIxQvYsHBqCesrzED9MHQI3X5DwscBNIpQE6Y4QcsD1jBUoJrWjdurV9R4gEffCldtGe84CyuWFs8eLFFubBQxDlgL3HkjaBwi+//NKgDGDjQSCTOeb4QeDl4QCvKXpiPBzRX+Ca8XTr1i0WC8s22223nZ3jFG4YNmyY69q1q5UHBozRHuBMBbzE9jIu+k1eXB72CK/w4SnpxhoMZenUqZOBLn2geAUPHjxUMB6AN5leqfpOijge2hg71xPnMOeygDfMmfu/baJwk85sxKW3tYC3NOYsCteSgDfzc63ogZecqnjl8ITidQNGqYZ16623Okq84qmlkhYeNQAOCMO+//5789YBbHjKEhkwOnfuXKvkxY0dWAD2OAawB9Rh3OwBAWAIryVQze+AEpbqdXe6fsWHIADoHIcxAT+AJCV2MbyyPXv2NHjYaqut3NixY2PDwusLUKVqj43xxvIgwA+ghF5oWa9evRjwApr0ge8eeOCBhNoB5vSNB4U99tijTFxnfEhDOg3Yvm/fvgZD3vAeU+qX4/NAAACPHj065vlGCx6AeNBIZyzmApiZO2Jg8RAnekXPvALUPDBlMsdB4AUy8ZCfeeaZ5pHHOLfQGs14QOC85dziMx4MeLgAJIFiYJXPMOaIUryTJ09248ePTxnDi+eecwIoxYIQm2qsPGQEt6UPG2+8sQE0nmVv6dpI1XfmjlLC/i2NYnjTnbGJv4/CTbpiIy+dvQS8pTFXUbiWBLyZn2tFD7wMCbg84IADzBOLFxRQxZNI/C/eKCCFGz4gE6yqxStsoNcDRFAevGa8Tq5du7ZBFP/HA4VHNR54PZjgHQXA2QbvG6+B0wFvun7FAyreZLyWwCawDmhQUjdoeCrx0gKS3tCH/qdqjzAH4IYHBrzIAA0wBVwSShEEn3TAS7EBvKB4TtEdaOXYeNPjgTedBmzPa3QPiIyJEI/zzjvPxoiHEG83DxaZGuEFl1xyiWVqADJ9bHgigCMUgLkF/jOZ4yDwAnbMD6EgQRjnc+KH582bZx5ePLZ4Onlo4LzCgGzCYwDOoLEfGqRatJYp8Pqx8jAZnHdCaHjA4saNB51rh2solV60karvwD8hK23btrVhCXgzPYv/u30UbtIVG3np7CXgLY25isK1JODN/FwrCeDFs0fKLOAKjy4eVyCNOEjgglfgvDYmzADPKAbcETvZo0cP16xZszLKeO9vcGEVXihW2KcDXsCF9oC9Qw89NC3wputXKkBljIw5E9BL1R6ARawncba8KvegVhHg9YICz3jDiU0FUPF6A7D9+/d3Bx98sG2WToNEwMt+POgAqHh6CTcJeoDDnOq8kgcu8QajIa/8vaUCONJlZTLHQeDlgQwNhgwZYiEFiYw4bMbCK31CWXwZXj7n2LxliLd0WRpyBbwc959//rHzjvOFuFseFPCSx2dpCEJzqr4D1OjCXAh4w5y5ibeJwk264qMvjT0FvKUxT1G4lgS8mZ9rJQG8Hk7wSOINA2BatmxpN2YPbyyeInaye/fuBqKAMXGFLHSK95By8+ZmDSwDGMQJ42EkpCEd8NIH4htJ24VnGajCq8zr5EQxvOn6lQpQffwywIAXjcV4QAjeXJ8rN37KU7X39ttv20ItQiK8d/e+++6rkIcXfXkNj1eWUBMWnhEKgaeP8AE8yGiJh5VX86nmJhnwshiLeSEUAfAKZovglfs666xTbjGd18P3id8JI/A5hHkjQNhAOo9lJnMcBF4emjiveBPAAxXnBV5dHsZYYInhPffhMnjyfd/w7DNOxoyXmTcaxFcDs5UFvBwbYK9Zs6aF+3A9cb5wvqcC3lR9JxyDUB0eWrgWR4wYYQ8xiuHN7A92FG7SmY249LYW8JbGnEXhWhLwZn6ulQTwcrP1q/2JFcRYSIMXKhhjipcRYMCAI+JdjzzyyISqEMvpvcF4/oBoYi+BEmJj8Vr6BVHBkAZAkZs14QYAN8fh9TWeyGRZGlL1Kx5QWcxDuISPRQYUiOPkWNiGG25oMbc77bRTwnGlao828HgDMhjAyup7n6qLbBd77rmnxcumC2kI6ocG++67r70KBygBGTycaEpYCfCYSgOAFy8wkBw09geg8YL6efff8zsefrRKZHiegfB4Y4Hds88+mxR4gXWOmekcMwbizCk+wrHxcBN6443zl9AKzD9w8WYimGUCSGYuCHPwxqJKQmx4wCDrQ7I8vEAxC/4AVCw4l8ng3o81uG0wdzEhDcwfAJ+ujVR9Z0EpD22ElWDANG9pBLyZ/cGOwk06sxGX3tYC3tKYsyhcSwLezM+1ogLezLtffg/+4LAIjfyjwFcqI+yBCmlhcpXGtwOMkT+YfcPkqc2kX/HHIq0T0JAovrMimtEWfSYOOhvjQYS28NrFaw1cAzhkg/CFCjLVgIcOFrP5zAnZ9LUi+2Y6x/HHYLx45QmDCbO4zu/PwkLOYWJ5ffqyivS/ovvQb95c4J3O1JL1nXN4xYoVds4B0rLMFYjCTTrzUZfWHgLe0pivKFxLny1e7G6+/W5XbcPs7uPFOmPzPprt2rU52haA58oiB7y5EkbtFF4BvILANPHSMilQ1RWIwk066nMo4C2NGY7KtcRbbhwzUTTSr/L2XMAbxdnVmMoogIeYsA5y+4YtaSwJpUCUFYjKTTrKcyTgLY3Z1bVU/PPEei3eDAp4i3+u1EMpIAWkQE4V0E06p3LmpTEBb15kzXmjupZyLmnOGxTw5lxSNSgFpIAUKA0FdJMu/nkS8Bb/HNFDXUvFP08C3uKfI/VQCkgBKZAXBXSTzousOW1UwJtTOfPWmK6lvEmbs4YFvDmTMvoNkUbqyy+/tAwB5O3NtVH57P3337fsAxRRoAoYdsghh5Qp8JDsuJn0j2wY5LElpRjpv3JpwXGQk5ljpDPGSnYPUrjtuOOO6TaP/PfEWZHVgdRkLDKQ5UcB3aTzo2suWxXw5lLN/LVV6Gtp2fLl7peff87fACPQMnUUtGitiCeSvKLkkw0aKZiYuDBGDtXff//dcpYCU9kYmQ2mTZtmBSpI9J9L82WZfZtDhw61vK+Yz+mb7niZ9O/VV1+14hGkUnv++efTNR36+/hxxKc/o/ADuXUxShyTFg6jqhjp2MhP68vlhj5oxDZ8+eWX7Zz3eaIpokF+YXIvp0sLGDEp8j6cQt+k8z7ACBxAwFsak1jIa+k/K1e6fgNudmtvEM10Yrk6A+aSlqz1UVq0litBc90OxQooDLBw4UJrmiIRderUsYpbYQwPI+AQLFscZr9E28yZMyfm4aX6V66MP+jHH3+89RMw33nnna2QgPfwUk44WMI32XEz6V8+gDfROHjICObLpSiHB3lSpPicuALe/80qVdR49UTp4GXLlllRDYxzo3Xr1rk67dSO4g5L4hwQ8JbENBU0hvf777931940zG2+Xb3SEKtAvZz9/tuuddN6At4C6R/6sFTqIjdesEIYFeEoCwwg8gp4xowZbrvttrPKbgcddJBV3Jo+fXoMlIHlK664woB58uTJViKZim+8cmd7vMFs49ul0hnuf8rx4nmkypcvQwx8AKh4MKlER0EIPHGHHXaYlQPm/4QnUEKW/9Nv2gWUzzrrrNi4V61a5c4+++xYxSyOhzevffv2jgpv2MCBAw14/e9NmjSxfvDK+4gjjrDPAUffb8ItfP8mTZrkKH8MDOMdRCsKTwCe3sN74oknWqU0dOD/7dq1SzgvqcZLIYxE40A3b4nGCgxT9Qx98PCiH8UUyIVIiWW03GGHHawJxjBs2DC3ZMkS+32XXXaxyn+MKZF99NFHVkEPaKQ4w0YbbeS4eTK+Zs2aObzoeFMpmYynm1AV0rXwkIRx/uCRbtOmjfVn1qxZdnxKEqfaj3HccsstVlkODzb9pyBL/fr1rZRwurEQNsN5SJEMykhTrRCjdDd6xBup5phnUs1xrsjCK1BIr1T4XlbtLQW8pTH/hbyWBLzhzhEBbzidCr5VIuAFKhK9jgcOAdFkwDt//nwrnwvgAY9UH8OLRn5aPMeJ2u3Vq5cBLMejXC+vnPHEUZ4WA2ZoFyivW7eulQH2XtSgeMTLUrI2FQQSv4vHE/jEKMcMjPnf+QxA86+8aY92fb99/0aPHu0mTJhg2wLagNinn35qIRIAOsCbyB566CE7XrylGi9txQMv4+jUqVPKscYDb/zYmjZt6tCeflOeGeOBAOj9/PPPDQwpZx0fJ8wfwNNOOy2mEdX7li9fbvsDtZRIpj0eGig1TFtoglYTJ0501apVi4VZBHXgvKIEdrL9eLhBByAbQ0e25byoXbu2lcrOZCzvvvuu69Onj7V17bXXWjx3vN199912vgP1vrR3wS/YEulAIW/SJSJRwbsp4C34FITqQCGvJQFvqClyAt5wOhV8q1TAi6dv+PDh5lEDjjBAFMhJFNLAa2G8eoBTw4YN3cyZM92UKVNi8aweHAEIvMXrrLOOq1WrlgFuEHiPO+448xiecsoprmPHjnZ8D7O8kvZeVPqDx5X2KAscH0uM99B7Qn3MKwu4kgEvMbB4n4FJ9j300EMtZCMeeNGCsQFheJXxbANy/E5fvYf3scces7H71+XdunVzLVu2LDfn6caLNzJ+HPGNpAtpYMyAKA8kgCd9xYPZv39/98Ybb5gXE6BEH+ARY+55/R809uFzDPDHy4oGgKgHXvrLQwAPKsAwHnKsR48e5gH2YRY8wOBlpcQv54wv/5xoP+b23HPPtXZ8CAL9oD8eeMOMBUBm/mbPnm1tEdcc9JYHx4q3mfOyRo0a9pZCFl6BQt6kw/eyam8p4C2N+S/ktSTgDXeOCHjD6VTwrVIBr/doctL71/F4RYmDjQdeVr23aNEi6XiIKwVQgmDrNw4CJbBInzBCBPBm4iXmtTMGlPIaO8zCsEyB14+NY7zyyisxj3M88L711lvummuuKTNWvJlsR0aH+L4BVStXrky4cAwASzdeYD5b4PWL1gjZGDRoUOwhhAcKvLCJLJHnc+TIkRZqggeYf7Eg8BJCwX4sQoy3Ll26WEx1orhiQmdS7cdDVu/eva1JAJoQlXjgDTMWHsj8AwhhGfXqKTYtH3+ECnmTzsd4otimgLc0ZrWQ15KAN9w5IuANp1PBtwoDvMCaX+EfD7yEN+Cdw3xb/IsH1xupuvAUxoNjIuAlpMHDNB5JPJNBcB01apS9ds8n8NIHslh44I/vN+MB0IjPJf6VmFYM4Npqq63K9Q1PNa/1k2VKSDdejpUJ8HogpU/xcAnIA/Q+iwRhBKRRAyi9Z5f9+CNbvXp18wQHDa815wA2duxY8376OGE8vISv4IHF0LFBgwb2sMT4UwEviydT7Udoi9fAe8r9g4n38IYZCw9mfmEmXttNN9006TXI3BJfzDaJPPMFv3iLuAOFvEkXsSxF1TUBb1FNR9LOFPJaEvCGO0cEvOF0KthWvNJlkZCHNeJzecWM5zIe8BIBLzBKzCSvwvfbbz97VY0XFwjEABQ8wbxqZzs+Dwu8HmSIHz355JPd1KlT7dU4cZt4915//fWCAi/gRYwsIQ8sKgP8sEsuucQAMR7G0wFvuvHigU0HvNy8CI3AiCsmzIMQAhbpBdOSxQMvWg4YMMD2Y5HaXnvtZYvbWJToH26CJ+lXX31lcbregjHPAC8PPz70AK88YQqcF1gq4CXHcKr9GBvwDjhjweN64A0zFs4jPNzYeeedZ+EoyUwxvBX/81TIm3TFe1219hTwlsZ8F/JaEvCGO0cEvOF0KthWqfLwhgFeUnvxStindgLagCXy6D7zzDNlxuWBJCzw8tqZ9nwmCBoDrInRJGY0bOovPMFADRYmhtcDXjoPrwdUP0jgktALVvongvF0wJtuvInGkejEwfuNB9YvunvuuecMTlMBL+0ApOzLDTA4JrItJCrOwLwQv0smDjz3PDQRmuE98sHFiTykAKn0ibRpxOwmS5WWbj+yLJBj+JNPPrF+kQcagCXu+sYbb7SupxtL0JPMwx3ZK5IZmjzyyCP2oMWCQ1l4BQp5kw7fy6q9pYC3NOa/kNeSgDfcOSLgDadTyW/FBUGKKGI6vQE33377rUEQ8ac+J2ymg2XxE95GgDJMvtxM289me8bGGBlbqtfimRwjF+NFewCXVGEUEsnEyHrAD1qzfzJj4SAPIEAnC8zwhGIAKw89GHHW/Gy99daZdCHlfj5lGZ5oxoinlnkgZMJ7h/3Bwo4lo85p49AKFPImHbqTVXxDAW9pnACFvJYEvOHOEQFvOJ20lRQoOQW8xzrYcZ96Lp+Duemmmyx3c9CAc0JKyJIhKx4FCnmTLh4VirsnAt7inh/fu0JeSwLecOeIgDecTtpKCpScAizmIi6bcBY8+5SEzra8dBgRiPMlCwbeW2KoyYxBMZBgxbkw7Wib/CtQyJt0/kcXjSMIeEtjHgt5LQl4w50jAt5wOmkrKSAFpEDkFCjkTTpyYuZpQALePAmb42YLeS0JeMNNpoA3nE7aSgpIASkQOQUKeZOOnJh5GpCAN0/C5rjZQl5LAt5wkyngDaeTtpICUkAKRE6BQt5brGk9AAAgAElEQVSkIydmngYk4M2TsDlutpDXkoA33GQKeMPppK2qgAKk7SIdFvlxyVpBSeU11lgj5cjJtsANaf3110+5HbG0ZCxg0Vi2Rh8pLUxe5aARN0ucbKqctdkem/0psEHmC7JLpMoSkYtjqY38KlDIm3R+Rxad1gW8pTGXhbyWBLzhzhEBbzidtFURK0C1OCCV/LregL9LL73UPfHEE+WqkCUaCtW/2Id8tVRUI3cxnx1xxBEpR+7LF5MHNlXaszFjxrh33nknlhosGzkp1fvxxx+XqbgGeFMOmCIWhx9+uBW34EbZr18/K7yBkRd58ODB7umnn67Q4YFc9qfimzeKjhx11FFWzIPiHrLSUqCQN+nSUqpwvRXwFk77TI5cyGtJwBtupgS84XTSVkWsQCLgpULdZZdd5iZNmpQ2FRYFJVq3bu0ASYAXeJw3b54Vz0jnwSQDAhXWKNqRyhucb+ClyMS1117rnnzySQeEArx///23Qfj48eMNRqmEB8hXBHjJ1UshCkoyX3755VadDy8zBTwobsFxqaomKy0FCnmTLi2lCtdbAW/htM/kyIW8lgS84WZKwBtOJ21VxAqEAV6qrgGkVEMjvIDCC5TQBWrPOusst2zZMqvUBbRRsOHss882sCONV6p9aevqq6+2fdgXjy/gTPgC5YvxFnfq1MkBvFTNA4ynTZvmatSoYRXPDjroIFOW41OFjHCFHXfc0VHu99hjj7XvAHKqyuEhZgwUEKHfd9xxR2xWevfubWEYeLUxgJcSwhSbuOKKK9yRRx5ZDnjpO2MD2MmT27FjR+tvImNMkydPtkp4jCtoFOKgsAd/8Lt27WqV3TCKXqBhrVq17HeqyaErkMyx8T5TCZCqc9zUAfXmzZu7iy66yACdBw90e/zxx61wBYUs/vjjDyu1jb377rvu9ttvN6332WcfA3JKZcvCK1DIm3T4XlbtLQW8pTH/hbyWBLzhzhEBbzidtFURKxAGeDt37myQdfrpp5sXF1jce++9zQtMiWXAqU+fPhaLS85YXtMPHDjQQiVS7Uvcb/fu3d2UKVMMygDNFi1auJYtW7rFixdb2eWrrrrKwI2yt7RLeWPKCQO3fMZ+FInYY489DAqB8iFDhlihhu22287AkDCCDh06uF133dUgllhdD7x4mQHkO++80+2yyy4x4CW8gf4BmA8//LB77bXXYh5ebqJt27Y1iOSY9BMvLSWBE+XqBdp32mkn16tXr6RnAnl38agDn8Ar/V+6dGms3C9jx5o2bWrAf/TRRztyBftcvWwL9DMPTZo0MdAdOXKkO/nkky0s49lnn3XPP/+8PTiQ65eqbejWuHFj0/+FF16wksUKrQh/sRbyJh2+l1V7SwFvacx/Ia8lAW+4c0TAG04nbVXECoQF3gYNGrjzzz/fRoJXEW8lIAgI420FsHzp5XjgTbZvEHhXrVpl4MkPEBmsKhYf0vDZZ5+Z55c+UPYXL/F1110X2wfYxsNLOV68nmx70kknWd/jY3jpN6CJl9kb4A3wAp8AI95s+uNDGvCsEgLBPr6sMADMQjg8wvFGyAcgf95559lXwOf7778f2wwPMx5uvL2zZs0y2EebGTNmGKBiaNq3b18D/qAtWrTIzZ071xbCMQ76i9edH4AfXTD/8EB7w4YNc6+88oobMGCAfcdDQ8+ePe3BJd+L9or4Usi4a4W8SWfc2Sq6g4C3NCa+kNeSgDfcOSLgDaeTtipiBYDYevXquYsvvjjWS2AMcCNelWwCeGmD0IqH9a677rJFbZkCb3DfIPASbvDAAw/EXrkDkoAmmRnigZfX/u3btzfgBD7pyzbbbFNG5YYNG5oXFE9m0HsbD7x4fgFcD8Q04oGXBWx4hAFUNBg6dKhpAmjjgeVzb0A33mK8y/HGAwHwibcaAzqJk16xYoUt9sPDCsR369bN9Ca04Pfff3czZ84sA7yUHQbCvQGzeJ4J9SBMg/8D14zZh2UA4vHA6xcZVq9evUxXORf8Ir0iPmWLpmuFvEkXjQhF3hEBb5FP0P/vXiGvJQFvuHNEwBtOJ21VxAoAYX/99Ze9DvcG1OEF5BU4VlnAy7G4QZFFAZhl8RshE8SdBrM0BIEXDy99ZztCAYLGuJo1a1Ym20IQeL2nOOidjgdeYoDxOhMbDKCiDd5R4ncBX+J3MbzShFV4qA32A1Cmf3jE/fZ8jwcX7y7AS5wxDw8ANt5ePL14XYMe3iDw8kcaDzbQ69O1AdaEkQC8hJtsueWWFgccD7y33HKLeZHRQlZxBQp5k654r6vWngLe0pjvQl5LAt5w54iAN5xO2qqIFQBqASBiP/HuEQsKLOH15bV9ZQHvV199ZR5jII7sCHh7yZAAKAK/yYAXjyixqHh08ZBiLMgCdllExkIw/s+YiJMFjsmWQAwvMbfAMyEQQQt6ePmcfowbN868rwAvf5zpJ2EGLFbjeIMGDYrFz8ZPNxkZ/LgAUMAYDy7jpW2Al3jbN954w/rF4jJ+jw9pCAKvjz3GK8s48QbzPSENAC9t08aJJ55o4Eu88w8//GAAzbbEE7PAjVCLlStXWgwv8de77bZbEZ+txdW1Qt6ki0uJ4u2NgLd45ybYs0JeSwLecOeIgDecTtqqiBWgEALgF3w9D/TgOdxss80SAi+ARpgAUOW9pMEUZoAgHlBiWuO9w8F9gyEN/NHBQwnIYWR9IPaWBViEDwC8hC5gQQ8voQ8ffPCBQSvghuEhBXDpB9/xCp+sBXwO/AHUxOO2atXKXXPNNeUKWgC8ZGzg2Bg3Tby8hF34tGTk5WWMtIux0M4Dd6Lp/vLLLy0PL2P2BkDTR8JJ8B5zTLImYCygw+Mb9PDiBWaxoLd77rnHvMYYnmNicRkTcdn0GXhGN76jPRbgea89cdijRo2K9Z/4azRhcZ0snAKFvEmH66G2EvCWxjlQyGtJwBvuHBHwhtNJW5WAAsAS0AUM+sVnheg23lA8sh62M+kDHlzGQYqxYLYBPvv6668tztfnuwX+8MpmkwMX2F2+fLkdj9RiYYx98GajcSKdSbHGHKSrPuePRY5fNIuPYeY4aOB14GHh7bffjsVIsz8POwA2qdo23njjMN3XNgEFCnmT1kSEU0DAG06nQm9VyGuJxcIDbxrifvz5l0LLUNTHX7RooTv1pFaWsjNXttq/3IVkUkAK5FUBvJsAJ6EGUTQ82yykw2NL+AQxu4SoHHLIIVEcbkHGVMibdEEGXIIHFfCWxqTpWir+eSK0EDwV8Bb/XKmHUqBKKcBiO4p0EP5BxTuyO5ApQpY7BXSTzp2W+WpJwJsvZXPbrq6l3OqZj9YEvPlQVW1KASkgBUpAAd2ki3+SBLzFP0f0UNdS8c+TgLf450g9lAJSQArkRQHdpPMia04bFfDmVM68NaZrKW/S5qxhAW/OpFRDUkAKSIHSUkA36eKfLwFv8c+RPLylMUcC3tKYp3K95I8gK9tZDR8sVkBBAb4jTyppnAphX3zxhZWdXXPNNS2/anwxhUL0KR/HJE0XVcbIIkBxiKpuZFWgRDBFN0i1dthhh1V1SYp+/ALeop8i+3vOQpuwWVSKf0TR7GGya+mLL750z734cmTvg6U0m+SbP+SAfbRorVQmbcKECZaLdNGiRbEuk5e1b9++rlatWlaWlcU+p512mjv77LMrfVi+VKw/cLCSV6V3Js8HpKDE7bffbkfxuWbzfMiibR7YpbSxz0FMSjafX7einebhjVy7ZGnw1dYq2pb2S6yAgLf4zwwBb/HPUSoP7/gHH3EvvTXPbbLZlqUxkAj38uN5s9yprQ4T8JbCHAO7o0ePtq7uvvvulnsUbxo5WqkyRpGB1157za1atco8vDVr1qzUYfGH+fjjj7dCAFTA2nnnnd2ee+5pnt4oGvlm8fCSFxdPdlU2npw5B9GCYhbrrLOOzX02RqU6SjLjLeZVlCz3Cgh4c69prlsU8OZa0fy0l+xamvDI4+7tOcvdZtW3yc+B1WpoBVR4IrRUhd+wbdu2VomLUAWqhGHA5VNPPWXeXX6uuuoqK63boUMHK7HK7/G2wQYbuBEjRtjHkydPdg8++KClfiL04KCDDnLdu3dPWFCAY+Gxffzxx63EK+3w2vrCCy+01/p4lPkcw+vcuHFjR9nYeKNSFxWxAEY8gaSc4o86+WQJDRg6dKh7+eWXzVMNQFGxjLx5Hir9GNu0aWO5WWfNmuWGDRtmcJRqPwoUUIKY/K48LOywww6Oogf169e3CmHYnDlzrK0lS5bY72jds2dPg/d4I2wDD6/X0/8O7FGhjcpvaEpp3GS5cik0gRcTYOSYvLasU6eOVV1Db8bE/JJYfNddd7X+0iYVyqiu06NHD+sWFdDQic8p79uoUSMrz4vnmc84b2iPvL1HHHGEPZBgQCUleffdd1+bs5deesnmjBK9Yc8N9CQ/LvOFUUCCY9OHdHom+57+koOX88K3mex8ploeVfK23XbbciWWC3/VFncPBLzFPT/0TsBb/HNEDwW8xT9PAt7in6NYD3v16uVmzpxpvwNZQBWA2rRp01j1rVNPPdUqTwEtfO/Bhn3wBGOUg6W87MSJEw2cASi8w5Rw5ZX0gQceaGV54238+PFu3Lhx9jGQOH/+fGuzbt267vrrry8HvAAPpXWDBqQRbuHL2QJHVPrCgNozzjjDyvMCgttvv737/PPPDaIBX/pbrVo158cYbBcQp/xusv3QCyAHsjHg0Fc1q127tpWwpQwux8aAdQCU4wOJvJ6Pj0WmNC/jpm+Uu/W/JzqlHnroITtmvHXt2tV0pH/oyPGoYgaoeg+nnzOO70MG+J7t0AtjXtCyX79+lruWBxFKDvNGgLkGlon55gEB82WTeQDwpXp93zjP+OMd9tzwBSKCcArwAqCp9CTWO9n39KF///6hgPfuu++2B7FchFGU0J+DnHRVwJsTGfPaiIA3r/LmrHEBb86kzFtDAt68SZv7hhcsWGBQ5z1p/gi88sXDh4cuCLx4hL3hNcVTiOFdrVevXizeF7hr2LChwfSUKVNiABc/guOOO84A5JRTTnEdO3Y0T6mPreSVM15I79FNFruLN2748OHWNDCGl/Wss84yEPXASztAOyAIDAN+GN5MPMB+jABiq1at3N9//22ASjnfZPvxeh0Iw3gIINaZftAfD7wAFt5RQA04BhABYYxtCSMJWjLgBYDx2vIvx8G6devmWrZsWe6kaN68uT004EnGE0w/AXH6dMIJJxjg4n0FrGfMmGGx2lhY4GW+0JPQC7z49913n80heuEp98ALLJ5zzjkWisCbAkCU8yzsueEfnoLQmU5PQnRS6c14w4Q04NUH2mvUqGFvJ2ThFRDwhteqUFsKeAulfGbHFfBmplchthbwFkL1LI7JHz9elQOnvMr3Xtv27dsbOCYCXrx/eGcxX5r1jz/+cC1atEjaE+A4uCqY4wBnGNCF9xYYA8owPIabb755WuAdOXKkhUTgNeVfLAi8p59+uvURL2W8denSxWKEE42RVcyp9sP72bt3b2sSgObhIB54gXg8rIksUUnbVMDrvaY+DIUHgeADiD8GXlRgMWh4Z9HYh3B40McDnwx4AUNAPd7DG3zACB7De/E98O69997u5ptvtk0yPTfYJxHwptNzzJgxKfXGGx0GeLO4nKr8rgLe4j8FBLzFP0f0UMBb/PMk4C3+OYr1EJghHMB7GoFQAJB//SvseBgMAg9xqscee2ysPe9d5F+8e96+/vrrct5MvgPACEXA+4c3EiDxHt1Ro0ZZ6px0Hl48n3fddZcdauzYseaVA3LxzOLhBcR8GAYA1qBBA4t/JawhFfAuXLgw5X6EYPi+eW8rkE4mAO/hxXv+3nvvWWiA9+z6P2TVq1e3sIOghQFevOH0PRnw4nVFbzJv4NH0IReAMB5YdGH8eKfjgZd9edDBhgwZYiERQeAFjvGIM2ecN+iMd5843VTAS3uZnhuJgDedngMGDEipN+cuwMvDiffyJ7pciQPm4Y8UfYm86CV0iVd6VwW8lS55xgcU8GYsWUF2EPAWRPaMDirgzUiuwm7sgRMAYBEVwONjMlmExqKeIPACcv4VL6/XPSizwAygA5LwFmMAIVkdCJsgltV/HhyxB0RiSU8++WQ3depUCzkgNhUgwTuaDniDcae0Tb98PC/Ayyt0H3qA95gwBR+KkQp4iQdNtR/hGGjjF9UFj+uBF+gEwjD03WuvvdyKFSvc9OnTDdLjs15kC7yMmzk9+OCDTX/y+rJQzD8MsBDLj52+fPbZZ2VieNnOp6EjLhtQZxvMe4nRkNAEwiIYJw8c3EDTAW+m50Yi4E2nJ+NNpTchJSwYxAhd2WSTTWIxy8HzUjG8Ff+7JOCtuHaVtaeAt7KUzu44At7s9KuMvQW8laFyjo4BcAJZHhBpFgjAI8qiMywIvIAoq/3/X3tnAm/V1P//byoRSmYRmccUmefhCRkyRkohhSIqc8iUlEZDxlAilTKURJklT0IyZChTMobH3BPh/3qv37POf9/TOffuc84+Z+/T/azXq9ftnrP3Wmu/1z73vPd3f/damQo5oESGEWXmkw0WL4Dp+yFO9AEB9IXb6ORqkovLQ16dO3d2b1U2/y77k7+LsCPhzNpAX3zkOPggFceApHLM3bp1c+KTLU+5qv0QrKFDh9r8+fNd1HDJkiVO2JHBfv36uX4jmESr/QNYvEZeKjnQ7BMsUQhvUMKpmwf1eK1Fixaub0i+f1Bt4403TqUA+Hl/iYIifPAjAs0/uJKTzSwHXLgw6wTvc6FSv359FzVGshm3TCkN9CPXc4P0FNJV0h8cq4pnZe8TVef4id5TOH5mnEgvjNe4cePchRcPB6qEJyDhDc8qri0lvHGRz61dCW9uvOLYWsIbB/UC22SmA+baJWe2bt26Bdb2f1ObLVq0yEkOdVa1og8PQRH5RG4Q7lwLD7ghyggkD6YhbBTki0gmhem3+McDebmUyvbzU5YRvUX6BgwY4I7ZpwwE2+HBMf5xfEybVszCWNIfBC+dPWkiiC+s58yZUyGH1/fJP6yXjRXvM15EgGvWrJnToeR6bmSrvCqelb3Pe+QVk7KwvM7pnNOgRLixhDdCmEWqSsJbJLARVyvhjRhoEaqT8BYBqqqsnIDPaw1ulW0qtChZ9u/f3+WvBgtCSy4x050lvaTn8Ca9v+pf8glIeJM/RhLe5I8RPZTwJn+cJLzJH6Plroc8ZESeMLfqma2B3ONCV+UKA4k8X6bnImJIpJD0ARZYKJeoIakK06dPrzDdWZjj1jYikI2AhDf554aEN/ljJOEtjzGS8JbHOKmXIiACIhA5AQlv5Egjr1DCGznSolSoCG9RsEZaqYQ3UpyqTAREQATKh4CEN/ljJeFN/hgpwlseYyThLY9xUi9FQAREIHICEt7IkUZeoYQ3cqRFqVAR3qJgjbRSCW+kOFWZCIhALgSY8YNp51iAhLmRcy3kgTPTBrNYqOROQMKbO7NS7yHhLTXx/NqT8ObHrZR7SXhLSVttiYAIpAgwrzILnVCYI/jAAw+0Cy64YBlCzJ/MoiLMTezfZ05oVnLz+zMlG6vIMbWbSngCEt7wrOLaUsIbF/nc2pXw5sYrjq0lvHFQV5siIAJutT+WumbRkhkzZrhFTQYNGuRWnfOFCC7LXv/4449uVTovvMzdzKIarIDHXNQsUMGsG3369BHZHAhIeHOAFdOmEt6YwOfYrIQ3R2AxbC7hjQG6mhQBEViWAMs/H3744W7FPQoLZiCy6667rluEhLQHL7ysRnfAAQeklrKeMmWKi/BOnTrVWDpbJRwBCW84TnFuJeGNk374tiW84VnFtaWENy7yalcERCBF4JNPPnHy2qtXLyeyFKK1LFfNksWkLwSFl2hvjx49XISYwvLU/D5+/Hi3fLJKOAIS3nCc4txKwhsn/fBtS3jDs4prSwlvXOTVrgiIgCNA2kKnTp1slVVWseHDh7uH1+6//34nryNGjHDLO59//vkp4WW55YMPPriCHM+fP9+6dOliI0eOdEsoq4QjIOENxynOrSS8cdIP37aENzyruLaU8MZFXu2KgAgYszR0797dzdRAXm6DBg0claOPPtqlMjRu3Nj9PnPmTKtTp46L/pLyQIS3Z8+e7ifFR3gnTJhg9erVE9mQBCS8IUHFuJmEN0b4OTQt4c0BVkybSnhjAq9mRaC6E2CJ5/POO89NKzZs2DAXyfVlzJgx9vPPP6d+nzZtmns4rWXLltamTRtLz+HlAbYhQ4YohzfHk0rCmyOwGDaX8MYAPY8mJbx5QCvxLhLeEgNXcyIgAmZMK9a+fXuH4rrrrnPpDJSaNWvaBhtssAyiYEoDb/pZGm6//XYnwkxxplkacj+zJLy5Myv1HhLeUhPPrz0Jb37cSrmXhLeUtNWWCIiAI/D111+nhDeIhPl4idaml3ThRZgvuugi+/DDD92m66yzjovw8lMlPAEJb3hWcW0p4Y2LfG7tZvss3T96nD0z412rv4b+NuVGNPqt3587x9q22ts6dOgQWeU1/uGpEhUREAERKDIB5uclJUILTuQHWsKbH7dS7iXhLSXt/NvK9llauPBLe3Las1arVq38K9eekRCY+epM22OXHSW8kdBUJSIgAiJQRgQkvMkfLAlv8seIHuqzlPxxGjVqlBGPVYQ3+WOlHoqACIhApAT0JR0pzqJUJuEtCtbIK9VnKXKkkVco4Y0cqSoUAREQgfIgoC/p5I+ThDf5Y6QIb3mMkYS3PMZJvRQBERCByAlIeCNHGnmFEt7IkRalQn2WioI10kolvJHiVGUiIAIiUD4E9CWd/LGS8CZ/jBThLY8xkvCWxzgtl7189tlnjT/mW221lW222WaxHeM333xjr7/+ujElVosWLWLrR7k3/Pfff9u7775rH3zwga233nq29957l/shLff9l/Amf4glvMkfI3o4d+5cG3TTHak5xcuj19Wrl/PmfWgnHd9KD61Vr2EvzdE+8MADNmLEiGUaW2GFFeypp55yy8cyn2rbtm3ttNNOy6tTSPP48ePdErTMy5qtsAQtQpZeOnXq5JawZfED36+8OlLNd4Lt8ccfb7/88osjscYaa9jYsWMLohJ2bAtqpJrvLOFN/gkg4U3+GNHDp59+2h566g1r2Gjz8uhwNeylFp6ohoNeqkMOCq9fSYu2+T/vvfDCC/b777+7CO+mm26aV7d8G0QUuV2RrfjILVK78sorpzbr3Lmz64+ENy/8qZ1effVVu+yyy9xFw/XXX2916tSx7bbbrqBKw45tQY1U850lvMk/ASS8yR8jCW95jJGEtzzGqSx76YUl2+pZl19+uX3++ed2yimn2IEHHugkeOrUqda8eXO3YhZXzGeccYattdZa9thjjxlS9cMPP9jqq69uRxxxhG2//fbWu3dvlxZBadiwoW2xxRZGvenFC++ZZ57pIpHB8vzzzy8jvAsWLLAbb7zR3nvvPfvrr79s/fXXt65du9quu+7qdv3111+NZW2nT5/uotRENI899lhr3bq1k75sx+L39+3/9NNPLkLNsX366adOxrfddlvr27evi0gTIZ84caItXrzYNt98c9cuPIcPH27ff/+99ezZ01U1aNAgx4nXX3rpJdt3333t9NNPt2nTprnXWKCB+lZbbTU76KCD7Oyzz3b7VdbPyZMn2+jRo+3bb791be6+++7Wo0cPV0ewzJ49266++mrHwY8DbdOHt99+22655RZ3bBRSVy688ELbZJNN3O/Z3qe/Ycf20UcftUceecQtSQw3lfAEJLzhWcW1pYQ3LvK5tasIb2684thawhsH9WrSZjDCu99++6WOukmTJnbUUUfZSSedZN99952TWkRx4MCBLtUhWLp37+7Ekj/6CA1SS64UP4nOhpUiL7zUgTj6cs4559ibb75ZQXiRSvpGm4hs/fr17ZNPPnG73HTTTbbNNtvYueee62QYEeT3t956y71PagYpGpmO5dJLL3ViHyy+HqLMCPxnn33mlt1FVIP8VlppJdeWTxng/eDyvCNHjnRMrrrqKnv55Zdd/uyVV15pd999t02aNMkd888//5w6DqKwO++8c9Z+IkJwp83999/f/v3vf7u2d9ttN+vTp88ywps+DggvrM866yy3LeOP9HJ8CDPpDlxUZHsfVtdcc02oi5k777zTHnrooUjSKKrJRzN1mBLe5I+4hDf5Y0QPJbzJHycJb/LHqGx7mC2H10tTNuFFMjt27OhuiyOCvXr1cgwQrwMOOMAJ5qJFi2zLLbdMSWHYlIZ0mPfee6/Nnz+/gvAiiIgtkVqih0RdiQx//PHHTiQRbaLSlAEDBlizZs3MSxf9ZR8vvMFj2Xrrrd3DXMFy2GGHuaVxiXwed9xxLg2AqC/HSMQYySTiTcrFrFmz7IorrnC7hxVeviyJDiPkRGrvu+8+J5EIKJHwbP1ERInYst0+++xjr732mj355JNZ85wnTJjgBDmYu4uwEm1GfLkQQLjhShk2bJiNGTOm0vc5XiLcVY3tM8884y6UiMITgVYJT0DCG55VXFtKeOMin1u7Et7ceMWxtYQ3DurVpE0vvIgjYugLKQkbbbRR1gjvjjvuaDfccENqex4sIzIYLF26dHFCGDbP00d4EUxu6fuChM6YMaOC8N5222328MMPu7QK6qd4MeRWPNFLnzbBrfRVV13V5SP7yCfyNXjwYCdh6ceSPvRIIrIYLEg1YsuDdhTSFlq2bOmirNmEFzFELNMjvMg3cple/EWHP65gP//44w87/PDDs56lpFgE86DZMJPwZho3XykpEPfcc88y4xp8n6h6GOGtJh+nohymhLcoWCOtVMIbKc6iVSbhLRrayCqW8EaGUhWlE6gqhzdbhDcoX6QXsPY10T6ijMgpkUckmogjOaZIUVBOM41ELjm83B4nYsvt/Mcff9y1dckll7ipy0gDIMJLxJfCdkgwebh33A47To8AACAASURBVHGH2+eJJ55ICXJVwkvUlWnRXnzxRXeMX3zxhasXEUaqSflo06aNk+x04WXfdu3aue2HDBniUiKCwoscI8rk7pJmcfLJJzsR5w9zZcJLfT7yzE+i7b7QVyLr6SWT8HpmpFr4yC77IVlrr722XXvttY5ptveR9TBjSx4waSkNGjRwud0q4QlIeMOzimtLCW9c5HNrV8KbG684tpbwxkG9mrQZhfAiueSHIqwbb7yxuwX+zjvvuFQHhAjR4SEoSqtWrdwDbe3bt1+GcC7C++WXX6ZSFnbZZRcnZDw0RyG3lNv8yCMyynukWYwbN86lJtAO06NlipymdwoRJYq7xx572A477GALFy40HhSjkGpB9JhoKqVp06YupSKYw8vrfmo3cnzpC9tQfJSYKDgXCKRFkCaBmPMFWpXwItCIO4W+MYvG+++/bx999FHq9eDxZBJeJB6ppXBRwDF89dVXNnPmTHdxwPFW9j4pEGHGVjm8+f9BkfDmz65Ue0p4S0W6sHYkvIXxK8XeEt5SUK6mbUQhvOTX8mAXMkkh2so0Zt26dXMzMhD95cGzDz/80L2PFDMrQXrJRXjZl9kX+vfvn3poiteQXJ+7S4oFIo4c+4K4EtWsW7duaOElys3ME740atTIpXrQX+rm2Lzkcmw+tYMcXgrSj/DBh4sA/hH5Je+W/iGtzJLA+0SfeQAPUaev5NhmE3O2v/XWW12EO1iQ5mC01r9HCgipIOnz7yLsd911VwWObHPzzTe7qHxl7xMFDjO21M8FB7NUPPjgg9X005bfYUt48+NWyr0kvKWknX9bEt782ZVqTwlvqUirnYIIME0VEb8NN9zQSW964UEvck+5rV2rVq2C2vI7I9PI45IlS1z0NFO99Ath5YGp9LzWsJ1gLmIkFMFLr4M+IL5I4pw5cyrk8Pr6ly5d6vZPfyAu+D6RVY6hZs2aYbvltiMKzQOCCPCaa66Z9zEyPvwjAl+vXr2M45ft/WKMbU4QluONJbzJH1wJb/LHiB5KeJM/ThLe5I+ReigCjkB6Dq+wiEChBCS8hRIs/v4S3uIzjqIFCW8UFItbh4S3uHxVuwhERoBoM6kWRLjJ3VURgUIJSHgLJVj8/SW8xWccRQsS3igoFrcOCW9x+ap2ERABEUgsAQlvYocm1TEJb/LHiB5KeJM/ThLe5I+ReigCIiACRSEg4S0K1kgrlfBGirNolUl4i4Y2soolvJGhVEUiIALZCPBgXbaHCXkojsU7cn3ojzpJ8+CBPqZlU8mdgIQ3d2al3kPCW2ri+bUn4c2PWyn3kvCWkrbaEoFqSGDBggVu4Qy/GpxH8Omnn7pV5Py0a8wNfOWVV7rp0yitW7c2ZsEIlqOOOspNVebn3vXvsegG+zILhEp4AhLe8Kzi2lLCGxf53NqV8ObGK46tJbxxUFebIlBNCLAIyNdff+2ONl14Wa2OOYv79u3rFqRgueiuXbsaUuuF98ADD7RDDz00RQuhZeq5sWPHuuWpmzVrZp9//rl1797djj/++AqrwlUTxAUdpoS3IHwl2VnCWxLMBTci4S0YYdErkPAWHbEaEIHqS4CliBHeCy64oILwErklgsviHjvttJMD1KdPH7fMMotSeOE98cQTnchWVViGmXYyLTpS1b7V+X0Jb/JHX8Kb/DGihxLe5I+ThDf5Y6QeikBZE0BEifQGI7ysoEdEl9X4WHGNMnLkSHvyySdTq6UhxCuuuKJbPY+FPY488khr3LjxMixYFIMllFnyGbFWCU9AwhueVVxbSnjjIp9buxLe3HjFsbWENw7qalMEqhGBTMI7e/Zsu+iii2z8+PFuuWPKmDFjnABPmjTJ/c6SyKwMx2pvzD/Mina33367bbLJJil6rER3xRVX2KxZs2zUqFEpea5GeAs6VAlvQfhKsrOEtySYC25EwlswwqJXIOEtOmI1IALVm0BlEd7Ro0e7JZUp6RHeIDUfxSW/t1OnTqm3brrpJps8ebINHDjQmjRpUr1B53H0Et48oJV4FwlviYHn2ZyEN09wJdxNwltC2GpKBKojgUzC63N4b7jhBttxxx0dlmuuucaYoszn8Kazateune2555529tlnu6gv+b/PP/+8DR482LbbbrvqiLbgY5bwFoyw6BVIeIuOOJIGJLyRYCxqJRLeouJV5SJQvQnwZY3wdu7c2aUjNGrUyOXlUs444wxbZZVV7LrrrnOzNDBDg5+lgSnLnnnmGWvZsqWttdZa9sQTT9iwYcPs+uuvt5133tl69erl0hh4WC2Y4kCur5/WrHqTD3f0Et5wnOLcSsIbJ/3wbUt4w7OKa0sJb1zk1a4IVAMChxxyiIvG+oKMIq+UTz75xHr06GG//fab+z04D+9nn33m5tvly96Xk08+2U455RT369FHH53aL4iR+XmDAlwNEBd0iBLegvCVZGcJb0kwF9yIhLdghEWvQMJbdMRqQAREoDICRIBZaY1/wcIDaTyohhA3bNgw60ptops/AQlv/uxKtaeEt1SkC2vn5ZdftrsfeNTWWPP/Zp1RSR6Bue/MsTbHHGwdOnSIrHM1/uGbSkUEREAERCDRBCS8iR4e1zkJb/LHiB7yWfruu+9M+pPc8Zo4caKbyUfCm9wxUs9EQAREoCgEJLxFwRpppRLeSHEWrTJ9loqGNrKKmbqSCxIJb2RIVZEIiIAIlAcBfUknf5wkvMkfIx/hZdlzleQSkPAmd2zUMxEQAREoKgEJb1HxRlK5hDcSjEWvRJ+loiMuuAEJb8EIVYEIiIAIlCcBfUknf9wkvMkfI0V4y2OMJLwxjdPcuXONuUaZN9RPvB9TV0rS7IIFC+yNN95wT9ozVVWS5kqtrG/ffPONvf76666/LVq0KAkrNSICpSIg4S0V6fzbCQovM5YsXLgw/8q0Z9EI/Pzzz1avXr2i1a+KCyfAsvXV9qG1n376yY4//visFJnPk3k9qyrMJbpkyRK3AlTYFZ9YCvWpp55ysstqU8tz6dOnj73wwgupQ3zooYds9dVXz/uQP//8c7cAAWXo0KGphQzyqbCqvrGSFwsjrLDCCm68qkN59tlnbfz48da4cWO76KKLqsMhV9tjlPAmf+iDwnvrHXfb3HkLbeW6qyS/49Wsh3/88UdB30XVDFcsh/su05Id3aJ6PrT2yy+/WPv27R34xYsXpybIZ/UnyjbbbJMSq8pGx0+uf9VVV9lee+0VaiCri/Dyx/qoo45ybLkg4CKCiwIivfmW999/37p16+Z2Z5qRlVdeOa+qwvStOgrvAw88YCNGjLD11lvPuAWksvwSkPAmf2yDwjv05tvti59XtFVXyz9gkPwjLs8e/vnnn4m6c1meFIvbay088T++U6dOtQEDBrjfJk+eXOFKbebMmXbbbbfZF1984U5oRLh79+5umVSWNuV9ymqrreb+XXzxxW7b4cOH248//uhkj9cPOuggJ32UqoSXfR555BF75ZVX7O2337aaNWs6WbziiiuciBAxZalWJuYnEudXpEK62e788893cwKypOvee+9tM2bMsDvuuMMt0zpo0CCXTnHllVfaokWLjA/qSiutZNtvv73rO9FX0g9uvPFGt/QrK1whQbvssoudeuqprj+33HKLq4Oy2Wab2YUXXrjMCle///67nXbaaa6PFG4l7Lfffm5J2W+//dZuuukmmzNnjus775155pm27777um2zvc+ysul1Is/33HOPYxQsMCSa/PDDD7s+cCyw6NKli9WoUSNr34J1BIX38MMPt2nTprm3jz32WLc/5eabb3bL4HK7kUgwjJn2hAshyscff2yPPfaYvfrqq64f8D3iiCPcxRbHfvfdd7v9uQCjj6wixopi9JHzi4g27OEOc84/lta97777jGjsRhttZGeddZY1a9asUnawpY8s30vZf//9jfOeOx2cm7zOxUTv3r1T5xMLPmyxxRauH+mFNjnPOQY+F3we+FzQv2A7jOvjjz9uS5cudXczqhr7yurN9Ofw0UcfdZ+VDTbYwPr27Vvcv5jLWe0S3uQPqIQ3+WNEDyW8yR8nCe//xiib8L777rvuS5yy6aabOmFBYhHEMWPGuAhwJuFFVMkX2XzzzY3cHpZRpbA90laV8CJB1I9AITvI60cffeRkFbk499xzU2cXAsxqVRQkddttt00tvcp2Rx55pJN4bv8jVAgCosnt6i233NLt9+GHHzoxJ8UDQfGiFzyFyWE97rjjnFxRkFcEjGVgEfqxY8dWuMLNJLxIFzLYrl07J3hINn3yDO+66y5bd911s76PJCP1QYnOJrz333+/jRw50vV1hx12sPfee8/9UaJN0hTSxZm+cezBEuQA97/++it1J4C+crEBD6QR4YMFfWPcJkyY4Ob8a9u2rZNChAyBJH+bn7feeqtdcsklLkcY4adftMc4sKwukfGTTjrJjT2FOoPL9Ab7ufHGG7sLLO5UVMZ2jTXWcGPoS7BOzgdkPazwcj7QLgL/wQcfuGP0aUCc88F2aI+2iRxX1j94VlZvpj+ppB1xYUP9nIMq4QlIeMOzimtLCW9c5HNrV8KbG684tpbw/o96NuElCkp0lCgmEVUk7phjjnHiQe7uYYcd5iJ5/B5MaeCPFPLx1ltvuYgW0TheQxKJllUlvJdeeqm99tprTgaJqiKxLL3K70QUifDyf6RuxRVXNKKPuQgv0TY+oIgK0jplyhQXiURciYgGRY+oNDKx5pprOol76aWXnLwhjIgNEkoZNmxYSqD9yYzoE9Gl+NzdJ554woYMGeIEjuMkktm/f3/Xn44dO1r9+vUrfZ+85zApDYg+zE888UTr1KmTzZ49O5WTyq16xie9b+kfwmCEF0bs06ZNG1cv+7Zu3dq9hpQi1F9++aWLhlN69uxpW2+9daoNIqoHHHCAi4ASWec4iZ5TTj/9dPcAI8I2b948J+hc3HjhpR3aI7I7a9YsJ8jI4/Tp01NRTdI7nnvuuUrZcZ54EeXiq3nz5k7yGSfScTiHw6Y0cNwcL1Fh2Po8bfbngtC3g7hzPFyYcLFY2dhzvJXVy3GnF6Lj5FfDj8+kSngCEt7wrOLaUsIbF/nc2pXw5sYrjq0lvFUILwLGLWXE1n+ZpktIJuEliooAppfddtvNeFCqKuFFspHtYCGCyH5EBREUL88ky2cTXsSwVatWy0R433nnHSd/fEiDBVEhMp0tdxVxJIqZqVx99dW25557Vngrk/CSHoJUZypIKpHUyt4/+OCDqxRejosxo5AGQvSWiDKpCBRkD4HPRXj9Q2tEzZHbPfbYwzhm/rGOenrxUdpMzEir4KIhU6oA9RABJjrtzzUv154ddxtIUSEy79NkuBhBNitjx8WTF1H2px5YkBrhH6AMI7yIEnc+EN70cu+997qnldPbYbuqxp40j8rq3XDDDeP4O7nctinhTf7QSniTP0b0UMKb/HGS8FYhvEgh0SsiYf369XORXPIvObmRFgTKCy/ygoSyTcuWLd1PbmcTxRs8eLA9/fTTFlZ4mQ6L2+FEQ8ndRFApyBMCjnz5qHMm4aVfCB63j5Eccih9Ti4yTo4v0Wduo1977bUupYDjq0p4/S14hMxHdukXX5xrr722izoHSybhRcyIllOQOr8PM13ADHms7H2ihD7Ci9wRlc5U/LiQcoB8BftCOgJ8cxVe9uHigvFHzg899NCUcJKfSh4tEWDSGhBecmPZh6gsEXsuZHyuL/LnUyguu+yyCtPTETFmfNOFF0llBgUvvPPnz3fnIQWu5BhXxq5u3brLiCj9Zr904SWa6qPV6XwffPBBlzfN2JGawYODJ5xwgtusMuGtauyJUFdWbybh5fPx5ptvGqsc8dlUCU9AwhueVVxbSnjjIp9buxLe3HjFsbWEtwrhRVK53U7hYSIe0kFeKNwWJ38WoSK/logd+bmIFg9xITaIMrewkRT+cIUVXkSMW8DcZuaWPxJBIfrFF7uP/iI+5JX6qKvP4b3mmmtc6gFpA+QRI0bIpM/h9Q/bITWIG7fridZVJbwvvviiE2QK+ZpNmza1r776ygmzjxhWJbzIPHm89If8z913392QdmSQ132eb7b36S//KOQ3k25B+gDHGiw+cknEGBlDpjhG8lQROZiFFV7qZVwZe58/TGoJAkk6AoWLDFJFSC2gILycE+TE+rxUxoSLF8YBWScthD7RR84NePBwG/shorkKL+kAlbHlGNIjr+nCizxy/lK4O0Cf/Gwmnq+/gwFz2iPX3X8uKhPeqsYeDtwZyVZvJuFVDm/+Xx0S3vzZlWpPCW+pSBfWjoS3MH6l2FvCW4Xw8jZf4KNHj06NB1JI7qm/fU8eJRFcIqoURIu8XWYy8B8C8jWJ2nEbHBmtKqXBy5pvFKlDBInmIbhEaLmtTkF6yb+leOFFqrjVTjQUeSBaSG6oF17+Tz4o71N4+AgBrEp42RahI0LqZ4bgNfqHAKbnWJIfzEwRlOD8u0SXyVEN3hJHdhBxuFb1Pu1zEeEf4kLY06c644Ij+FAhfUAk4c/MBtn6FvzgBXOZ/QNe/CSNABmk+LHk/8g0Qky/iEKTe00KhE8dYd+tttrKvcfsBwggHLiLECw+7zhX4SWVoDJ2RPSrEl4i0sg66RL+3OCBuGBh7M8777zUecf5xUUfhdxiou6ZUhp4v7L+7bTTTpXWy/ilF86FcePGOfZEnlXCE5DwhmcV15YS3rjI59auhDc3XnFsLeENSZ3IHXJWp04dJ3VEXdPL999/7x4g87fY2YfoJ7f/06fMCtMsHyAebuJ2MVHd9IJAUy8Sm57D67elz8x6kK19ItbIaj5z2TIzAf+IAOa7wgwRSY6RY6Af6Vwrex+phAFtI+rZCnUwDtRfyIIXXGhwgcBYpEeTf/31V+MfEf9Mhf14wI8IZfq+bM9YM9MG0k9ucRQr0VXFtqpzkLEl8s7xZps3Gf68lw/XyvpXSL1VHZfe//8EJLzJPxskvMkfI/83PIq/2+VxtOXZSwlveY5bhV5nyuFdDg5LhyACIlBkAhLeIgOOoHoJbwQQS1CFIrwlgFxgExLeAgEmYXcineRUUpj2KlM0OAn9VB9EQASSRUDCm6zxyNQbCW/yx0gR3vIYIwlveYyTeikCIiACkROQ8EaONPIKJbyRIy1KhYrwFgVrpJVKeCPFqcpEQAREoHwISHiTP1YS3uSPkSK85TFGEt7yGCf1UgREQAQiJyDhjRxp5BVKeCNHWpQKFeEtCtZIK5XwRopTlYmACERJgJki+MJnppFMhakA+aJhBg6V3AlIeHNnVuo9JLylJp5fexLe/LiVci8Jbylpqy0REAFHILjqXRAJU7axiiBT1bEKnZ/bmmnPWLHwqKOOcpszxzKr/r3//vvud6aDYy5sVvtTCU9AwhueVVxbSnjjIp9buxLe3HjFsbWENw7qalMEqjkBvhwWLlxYgcKYMWPcam2sQMfCLfxkdUPmaGYJ6kmTJrnZSJgzmtXVWHab1f1Y7Y6FMho1amR9+vSp5mRzO3wJb2684thawhsH9dzblPDmzqzUe0h4S01c7YmACCxDgEU7WJmta9euqShucKPPP//cOnbs6FbOY/luVqBjCj6/NDQr7RHhnTp1asZFYYQ8MwEJb/LPDAlv8seIHkp4kz9OEt7kj5F6KALLPYFhw4bZM88845afzrQq4IQJE+z22283osCsRHfIIYdYjx497NBDD3VsWEqb31lummW8VcIRkPCG4xTnVhLeOOmHb1vCG55VXFtKeOMir3ZFQAQcAZYRJmJ70UUXWYsWLZah8uGHH1q3bt3siCOOcD//+ecfO/jgg61Xr14uykuZP3++denSxaU+sJS3SjgCEt5wnOLcSsIbJ/3wbUt4w7OKa0sJb1zk1a4IiIAjQJrCW2+9ZaNHj14mHYFUBh5e22GHHaxv377GQ20UIrw9e/Z0Pyk+wkskuF69eiIbkoCENySoGDeT8MYIP4emJbw5wIppUwlvTODVrAiIgNmCBQvs9NNPtyuvvNL23nvvCkiI7Hbv3t123XVX6927d0p22Sg9h5cH2IYMGaIc3hxPKglvjsBi2FzCGwP0PJqU8OYBrcS7SHhLDFzNiYAI/H8CTC3GjAz33HNPBSxMN0b6QtOmTd3PGjVquPeZsYEcXj9LA3m9zNLANpqlIfczS8KbO7NS7yHhLTXx/NqT8ObHrZR7SXhLSVttiYAIpAh4qe3fv7/ttNNOFcj4iG06rubNm1u/fv3cPLzk/BIFpqyzzjouwstPlfAEJLzhWcW1pYQ3LvK5tSvhzY1XHFtLeOOgrjZFQAQiIfDjjz+66YC04ER+OCW8+XEr5V5B4Z3wyER7+rmXrHbt2qXsgtoKQUDCGwJSzJvMm/ehnXR8K+vQoUNkPanxD49Rq4iACIiACCSagIQ30cPjOhcU3uT3tvr2UJ+l5I/9qFGj3Cw/Et7kj5V6KAIiIAKREtCXdKQ4i1KZhLcoWCOvVJ+lyJFGXqGEN3KkqlAEREAEyoOAvqSTP04S3uSPET3UZyn54yThTf4YqYciIAIiUBQC+pIuCtZIK5XwRoqzaJXps1Q0tJFVLOGNDKUqEgEREIHyIqAv6eSPl4Q3+WOkCG95jFHihJeE4m+++cZWWmklW3311RNBkf68/vrr7slYlj5N/z0RncyxE88++6x7GGKrrbayzTbbrMq9p0+fbj///LNtt912tvHGG1e5fRQbzJgxw3gKf5tttrFNNtkkY5V///23vfvuu/bBBx/YeuutZ40bN3ardjFva8uWLUN1IxcWc+fOtU8//dTWX39923HHHUPVH2aj9ONIX4QhUx08FTxt2jT31j777GOrrbZamKYq3WZ5OLcLhpBWwYsvv2Lz5n+8zCpwUbcTR32Lf19sK9ddOY6m1WZIAkuXLjUeA69du1bIPbRZHAT0WYqDem5tvvrqq7bnrjvF/9DaL7/8YjfeeKO98MILqSNAMDt27GjHHntshVWWcjvEwrd+/vnn7brrrnN9eOqppyz998JbqLoGllhlCVbK0KFDbcUVV6x6p0q2OProo91cpm3btrXTTjutyrpY2eq7776zM844w1q3bl3l9lFscOqpp9oXX3zhTs727dsvUyWSePzxxxvnDmWNNdZw23EeUbwMVtWXXFgMHDjQnQPI7g033FBV1aHez3QcY8eOrbAvUj5+/Hgn9Mw/S+EC5LjjjnP/v+OOO2zTTTcN1V5lG8Vxbhfc6SJX0O38S81WWt9q1lz+hGPp0j+tVi1NcVXkU6ig6v/6+y+3f80VahZUj3YuLgF9lorLN4raP5j7pp3Uau94hZeoLnLz5ZdfumPaYostXAI4gkVp06aNW340rpIE4fWT9MNg4sSJtvLKhUVluLD4/fffXYQ3jCglUXi5WrvsssvchQgXA3Xq1HF3BYjw8tohhxwS6pTJhUUxhDfTcRBJD5YHHnjARowY4aLY3JaR8IYa2kg2uqDXVVZ3rW2s5nIohpo7NJJTpKiV/PXX/4S3poS3qKALrFyfpQIBlmD3RCw8QSTOR8t69Ohhhx12mBH16tWrl0sloDz00EMucvfxxx/b/vvvn4pKEnlltaV//etfLrr39ttv2y233OJuO1O4XX/hhRe6W+JvvPGGq4PlSU8++WRDInbZZRdX35VXXmmLFi1yk9iTTrH99tvbxRdf7AQqV+Elctq1a1fX/r777mtPP/20/fTTTy4dgugoEVpuje+888529tln27rrruv6m60PRHOJwv7www+uTlaTqlWrlluOlf7efffd9swzz7hIJ8dGxPKUU05xt2Avv/xyIzp8zDHH2CeffGJvvvmm48PqVrzOdgceeKDdfPPNrg76jiyutdZa7irIS2NVwssYDh8+3KUgMHbcXj/ooIPc8VFgPXXqVDcOXODMmjXLNtxwQxfB33333d029I9+8RPuvq5MEd7Zs2fb1Vdf7fpLadiwobsoWnXVVVNjfOutt6bGHBmGNyt4ceeAyCgXUhTPyLNgrIimIqKMCxcX2267rfXt29e88JLWscEGG2Q8jvTP7a+//mosgUtaCP0lEs1dC86FOXPmZDwOzhtfONbevXu7FBR/rFwUnnvuuakIL/W9+OKL7jyDO+efvyiaPHmyjR492i3hy7HDm89ZphSI4LkOo0y8Kjsezh3Og5deesn22msvd0fg+++/t549e7q+Dx482C0N/PLLL7vPBce2ePFiJ/L0ebfddnP9vOmmmxwbjpnz/cwzz3SfpUzl0UcftUceecSNB2MUdZHwRk1U9eVCQMKbC634tpXwxsc+bMuJEF4vEXwZ8+WMqFHIzezevbv7P19k5GmOHDnSfWk//vjjTvC4pU1BmOvVq2dnnXWW+32//fZzsvLZZ5+5L3ZuEfMliyAHCxKK1HGbeMstt3RvIdD+NjNftLkKb/BWc6aBQAqon4KodOnSxX25Z+sDIp9NeIlwclGAFCDp9JW6zznnHDvqqKPMi2qwH1w80GYwRQFuyFKjRo0cM+Safk6YMMFJZFXCi3RPmjTJNt98c3erHWmlEHlFNP0Yp/NAbOkP0WbGkj8aFATWR/yzCW+6BCK8HHum9JNM4/Dggw86sU8/NkTyvffecxcPMIXH119/7VIkqjqOTO34+jhvyUcmAk1hTPk903HkKrzUFzyvOJc4txk/ZJu2ubD797//7T43iGWfPn2W6a4/1yvjVdnxkCJz1VVXuc/annvu6WQedj4lheg0v3MRStlhhx3cz3feecdOPPFENxbt2rVzfYQ9YzBz5ky3zV133eVSOtLLnXfe6c4hLiTSU0EyHUeur0l4cyWm7aMkIOGNkmbx6pLwFo9tVDUnQnjPP/98JwFIG5FAXxAyvgApfMnyBeqjcojHggULXCQIoeWL/dprr3WRJSI9yATixfuUYcOGOYHywkvkkS9Iok3c1udkRaiR5ClTprhIMvU+/PDDBQkvEcsmTZq4b6/AwQAAIABJREFUaB7RPSQEGfHiRF+5Vc2DCZX1IVNKAw8YEammIHs8SMUX/rx585xIDBo0KCVzyEOrVq2MP55cDCCRQeElysbviB6c/DgQmePhr6qEl0gcdTCOROjuu+8+F52jLSKo/niJuDMWRPYuvfRS13cuYhB+on8UBI3tqsrh9TIXFJ3KLk6I2iKFRMAp5513nh1xxBHLHBt3GBgL+kCUk/QCLgaQ06qOA1EPFlgSOaYMGDDAmjVrZl7QkDmik5mOI/0DXlVKAxcWzZs3d5FQLjaIriKePj+ZceDBttdee82efPLJVD56ejtBfpl47bTTTlUeT1XCy8OIt912m2sauW3atKkTWSLH3KEZMmSI6x/nBxe/fIYYD+4G+L8HwX5zZ4K8as5/ItdRFwlv1ERVXy4EJLy50IpvWwlvfOzDtpwI4Q1GeLmF6ktQ8ohGEZXiC41oEFFZhBdB8zm+nTp1ctG4TIVI0x9//FEh+ue3oz4k1EcX/eukNhC1LCTC6x8m8n074YQTrHPnzkZ0kZQEIoz8v6o+ZBJeIl/IZKaCeCGS2UQ1+DqRVfgQlUsv6ZHibA+tIW6IbHrxkcT03Fduc/uLFxhxe5sonb/IoJ6ohRcponDxQbqEP5Z0Rgg3EhoszJpAyklVx5GeDx0cI267Ey0nZ9hHV+kTr9NmZRHKqoTXn2eILw+48VAdbRx++OFZ/xZkygXP9NBakNdGG22UOueyHc8111zjzqU99tjD+H96hLdmzZpOmoOfNz5rXIyyHxeZmcqRRx7pLnxLXSS8pSau9oIEJLzlcT5IeJM/TokQXr70EQkKebPk45LniWC88sor7vVx48ZZgwYNKsinTwu4//77XR7sJZdc4m7vI3s+ssu+PAC39tpru3zL4O1uPzw+wkwUlCgxktKvXz+XyxuV8CJXRN688I4ZM8bl3nrhraoPQeFFCBBD6qNeCqkNwWmyiNYSoQwjvETYfK4tqSFEIZFR0hrCCC/jQBSYn9zSJupMtBaJzSa8CKef7QFZ4+LFR9993mixhJdb5xxbNuElQk30nJxYzhlmiqAgpUhecJaG9ONIF17uFBB1pRDZJYeZyCnHTJoBx5pLhDd4FyTTLA2MH6kXfhYJH63mJxFSXzg+n8IT/DOVSXiDvHwUubLjQbSReur3d1Z8lJuUBoSX/GIizdwR4PPGuUOfOV/gTOGCjSg4ZcmSJW4bcn3TC1FhctP5+0DEPuoi4Y2aqOrLhYCENxda8W0r4Y2PfdiWEyG8fJGRguBzNrmFTASQyBDFSyL/59Y/t+Z9dMh/qfIegoKwUhALRO6rr75yX6hBqfLTi3lIREnZBpkgikRKA30ppfBW1QfSA+gbhQftiAaS30wqA31FnpAFcmJ52IpUCeQnjPCyn58Fg5xiGBP9o4QVXvYjZQMh4tY/UkefwwovFyw+1YBjYPxIe6Bkm5Ys15QGH+GtTHhJYeDuAdFJ0kIWLlzo8sop9957r3Ghkovw8mXFBQAXIFyIHXDAAe7ijfPXp7eEEV6Ezue9cv7DiBzt9GnJ0oWX9AB/14TjQci5eProo49Sr+civIxzVcdDe7RL4aKLCwb/wB3Cy92A5557zl3YIqlE9rkAIQ2D3HLGm78JHCMP2HFnhjQIXs80JZ5yeMP+uV92O31J58+uVHtKeEtFurB29FkqjF8p9k6E8HKglc3Dy5e6f5CNbclNJTpE8Q/neFiIGg+3+C9YXkcOmYWAmREyRXjJeWVGCKJ1FJ7AJzWilMJbVR/oF8eFSPrINmLOhQE8vBx6DkgdaRRhhBeJCD6MRdQZAaGdbt26uQuMqnJ4kRxmf/Af+vr16zvJ87e101MBMkVGOT5k0I8ZD7IxjtmEl0g3uaBhc3jDCi/H6mfEoC88yMdrCGqY40j/4HIu8WCav6DjfbhwR6Ju3bruFn76caTXwR0PLj54oNKfo0TRqxJexoPZKnjIM1i4KAneBfHvVRXh5Vyp6nj4LHPHwj+4iGj7B/W4G0MeMW3785jPGRenF1xwQWpaOc7pIC8u6LgoJI8/vfjzxt8tifoPpyK8URNVfbkQkPDmQiu+bSW88bEP23JihNd3mC9BIrvc8iT6k2/hISP+ESVi9oYwhUgU8lToHLdh2sq2TVV9gA8iyTEhCr7wYYMbYsCDePzMtfDQEP8y3TYOUxeRYSLqRDK5bZ1PKbQP+bSZaR9kG86kwkR1PiD5iDQPV+VbJ+c0EU8+G0xNF7Zw3vhp9zg/8m0/2F5VxwM/UhIytUV/uFjjvE1/0M+3wUOQ9Jk6+FwGL3rDHncU20l4o6CoOvIlIOHNl1xp95PwlpZ3Pq0lTnjzOQjtIwIiIALFIiDhLRZZ1RuGgIQ3DKX4t5Hwxj8GVfVAwlsVIb0vAiJQrQlIeKv18Md+8BLe2IcgVAckvKEwxbqRhDdW/GpcBEQg6QQkvEkfoeW7fxLe8hhfCW/yx0nCm/wxUg9FQARiJCDhjRG+mnaLBVHyfS5CCEtDQMJbGs6FtCLhLYSe9hUBEVjuCUh4l/shTvQBSngTPTypzkl4kz9OEt7kj5F6KAIiECMBCW+M8NW0Irxlcg5IeJM/UBLe5I+ReigCIpBGgNXkWGQjvbAyYnC6vijASXijoKg68iWgCG++5Eq7n4S3tLzzaU3Cmw817SMCIhArgalTp7oFV/wyxL4zjRs3jny+XglvrENd7RuX8JbHKSDhTf44SXiTP0bqoQiIQBoBhHfo0KEZl0eOGpaEN2qiqi8XAhLeXGjFt62ENz72YVuW8IYlpe1EQAQSQwDhHTBggO28885Wp04da968ubVs2TKn1efCHoyENywpbVcMAhLeYlCNvk4Jb/RMo65Rwhs1UdUnAiJQdAJvvfWWIb0ssf3ll1/ayy+/bPvss4/17t078rYlvJEjVYU5EJDw5gArxk0lvDHCD9m0hDckKG0mAiKQXAITJkxw+bxTpkyJPMor4U3uuFeHnkl4y2OUJbzJHycJb/LHSD0UARGogsCLL75o1157rWmWhtxOFX1J58Yrjq0lvHFQz71NfZZyZ1bqPSS8pSau9kRABAomMGrUKNtyyy2tSZMm9p///Md69epltWvXtuHDhxdcd3oFivBGjlQV5kBAwpsDrBg3lfDGCD9k0xLekKC0mQiIQHIIDBw40J566qlUhxo2bGh9+vSxRo0aRd7JbudfalZnPatZq1bkdcdd4Z9/LrXatZe/44qba5TtS3ijpFm8uvRZKh7bqGp+f+4ca9tqb+vQoUNUVVqNf/7555/IalNFIiACIpCBwH//+1/79ttvbbXVVrMGDRoUjdH0GTNt/kefFK3+OCv+ffFiq7vyynF2QW1XQWDp0qX2j/1jtWvVFqsEE9BnKcGD87+uzXx1pu2xy44S3uQPlXooAiIgAtESIB2kmBcL0fa2etbGhR0xpJV1YZLoE0CfpUQPj+scqXB8lhThTf5YqYciIAIiECkBfUlHirMolUl4i4I18kr1WYocaeQVSngjR6oKRUAERKA8COhLOvnjJOFN/hjRQ32Wkj9OEt7kj5F6KAIiIAJFIaAv6aJgjbRSCW+kOItWmT5LRUMbWcUS3shQqiIREAERKC8C+pJO/nhJeJM/RorwlscYSXjLY5zUSxEQARGInEA24V20aJFdedVVZjUib1IV5kjg77/+dnusUHOFHPfU5qUk8Ocff1rtFTWTRimZ59rW/Hnz7eR27fTQWq7gtL0IiIAIlDuBbML77ty5NmTwYFutfr1yP8Sy77/m4S2PIdTCE8kfp3ffnWsnt20r4U3+UKmHIiACIhAtAQlvtDyLUZuEtxhUo69Twhs906hrlPBGTVT1iYAIiECZEJDwJn+gJLzJHyN6KOFN/jhJeJM/RuqhCIiACBSFgIS3KFgjrVTCGynOolUm4S0a2sgqlvBGhlIViYAIiEB5EZDwJn+8JLzJHyNFeMtjjCS85TFO6qUIiIAIRE5Awhs50sgrlPBGjrQoFSrCWxSskVYq4Y0U5/JXGXNA1qxZ02rXXna6lR9//NFmzJhhhx56qK2wwrJT5syaNctWW20123rrrZc/MIEj+v33361OnTqOUzEKa39/++23Vr9+fVtppZWK0UTGOv/++29j/OvWrevenzZtmu2www627rrrFtyH9LoLrlAV5EVAwpsXtpLuJOEtKe68G5Pw5o2uZDtKeEuGOnkNnXHGGbbVVlvZ+eefn+rcm2++aRdeeKE99NBDtvrqq9thhx1mRx11lJ155pnLHMDkyZPt9ttvt0mTJmU8uKOPPtpOPfVU42eUhX5/8sknds4557i+UebPn29dunSx8ePHOzEsVrn++uttv/32sz333NM1sWDBAjv99NON13feeedIm/34449t4MCB9tFHHxmCSNlggw2sV69etuWWW+bd1i+//GK9e/e2Sy+91NZZZ52s9Tz66KM2bNgwY5x/++03O+GEE9x4b7bZZjm1nam9YN0rrrhiTvVp4+gISHijY1msmiS8xSIbbb0S3mh5FqM2CW8xqJZBnUuXLrWWLVvaRRddZC1atEj1eOTIkfbYY4/Zww8/bEQW3333Xdtwww2d/KaXPn362K+//mr9+vVb5j0iku3atbM777zTNtlkk8iI+H4T6UT6Bg0a5Oqmv/fff7/7WayC9CHvgwcPtiZNmrhmOP5PP/3UXThkioLn25fp06fb1Vdf7S44TjrpJBdVRfJvvvlm9/uuu+6ab9X28ssv21VXXWVPPvlkpVFpxpAoPpxfeOEF69u3r02ZMiVjNL+yzmRqL1h33geiHQsmIOEtGGHRK5DwFh1xJA1IeCPBWNRKJLxFxZvcyt977z0799xznSQGb1H36NHD6tWr52Rr9uzZTrDuuecedyCvvfaa3Xrrrfb55587AUYAO3ToYG3atLE//vjDhg4dai+99JL7/1prrWXfffedk6oaNWrYO++84+pCDhs1auSionvssYcTxs6dO9tuu+1mr7zyihMsRLx79+4Z4c2dO9fOO+8869atm6uP6CMRQiKWpFUgchSkfdy4ca4PTZs2ddHgjTbayL1HGgYi/sUXX9gaa6xhq6yyiotE77vvvvbUU0/Z8OHD7eeff3avE8m94IIL3K399u3bu/6xT61atezKK6+0V1991b7++mu3zSmnnOL6veOOO7p2WK2qZ8+e7h+vVdan4MEuXrzYRVNJFTn77LMrcOAihH9LlixxvDkWRPuII46wjh07psZpyJAhji/HQ6oFEXq4vvXWW3bZZZe54yG6CzM40g4MENvPPvvM1U10eZ999nHSzTbPPfecu3hhLDfffHN3sbTxxhvb999/784lLgT8ucTFEKksyHJ6e1xU8Zqvm+PNdixVnR+cM3fccYd99dVXtvLKK9uBBx7o+qISjoCENxynOLeS8MZJP3zbEt7wrOLaUsIbF/mY2x0zZozdfffdduyxx1boCbeakSNev+2225z0IofILrfATz75ZNt7771tzpw57v0bb7zRtt12WzvrrLMMcUEsEcX+/fu71IKbbrrJyOW9/PLLXb2I7YMPPuheGzt2rM2cOdO917x5cxc9pT2itA888EDG2+30G3Gk76QzIOZIaTB9AmF94oknnBg3btzYrrvuOncb/uKLLzYfOUW46QvHxfFxLEjc008/7QSS/RYuXOgEesCAAbbddtu5toiyUg8FoevatauLtpJmceKJJ7p+EIGlkHqADCJklfUp/VQgLeOuu+6yCRMm2KqrrrrMmUJ6w2mnneY4I/5cRCCbfixIQ2AcW7Vq5aQXlkgsXBEcxooINe9zrLyGvJNvjWRTL+PP+4zjTjvt5GT6hx9+cFLMxQwyTGoHF0jPP/+8S+nw0V/6h1xz/OT8preHNB955JGu7mbNmlV6LJWdH1xwwZ2+0RdSQDh/YKISjoCENxynOLeS8MZJP3zbEt7wrOLaUsIbF/mY273kkktcbigi5wty9v7776fyNL2oIHWILmLpI45EFpEkJIdb1tzuJu+X6DCFaOf+++/vfiKC3PKnDgp5r0gkUoaM/fvf/05FkRFKJGbUqFG23nrrLUOJfiPSyDd9Id2C7YkyI648PEabCC0yRSHKjGBT5/HHH+9EDnGjvPjii06Ig7L29ttvOzbwIEp8ww03uAgt7RGxRKQp/IEj+kk0E3mmTxw/P/0FAqKLVGbrE8efXqgPRhxPpoLMI7fwI6pJIfrM+JDHDA/6y/8pCDSRfLbnyxOpReT32msv9z6yzxhwEUHkmuJzuSdOnOhe4zgZ41122cW9j/B++OGHro/0hRxqosAU2HHucEHDWKW3F6ybqHFlx0L92c4PotWcR6S1INYquROQ8ObOrNR7SHhLTTy/9iS8+XEr5V4S3lLSTlBbRNjIsUUUfXn88cedtCB/lEMOOcRJLZFPhOree+91guklyUd/kSdyaxE1CrfLfQSP2+ZEI0ljCM7kgKjRFjJNpNTfhuYWPAKE1GUq1IvIIWAI9n333edSBsgjRmwRNNIuaC9YEED2RYSD0WOioQguD2Nxq57b9OQHkwbBw1ZEsqkTkfZRS6KJFLYnwvnII4+4SCxyi1jfcsst1rZtW/vXv/7lotpEpLP1KT1lgXrZp0GDBhlzo3mfiDgS6tM3eI2xhAkXF/TTR755L5hrzQUNEVCix/7iBDnlwicYGSXtgGg3Fwn+ODkOP2MD9ZNaQR+IsBJJJjWFglgzLkSUM7UXrLuyY+GYKjs/GB9SSYjsclHB+QpPL+0J+rgltisS3sQOTapjEt7kjxE9lPAmf5wkvMkfo8h7+M0337hoq78F7htAjMiFRAKJ3iEPSOUHH3zgJMvny7K9j/763E8if17eghE8coVJASBSisQFS/DWt5dIoqn0zz+MFtyeXNmgePvfN910U5fHi0ATEXzmmWdcdDG9+NvjCBm37SnBaCi38ckrRWIpyN7UqVPdT6QKESWlYs0113Tvjx492s1QQYoGhWglEUekEzlkW/pVWZ8yDS7SjWRyARK8SIAX+dFcHGyzzTapfvoHBGGG+PF+UGjpzzHHHOMubhhPxoKflExjwOswYEYIhJILBPrij5M/7KSTMN5IZrpgI8HUe8011yzTXnrd8M92LNtvv/0yFxmZzo8vv/zSsR8xYkQq2h75h2Y5rVDCm/yBlfAmf4wkvOUxRhLe8hinSHvJfKqIA5HcYDQMMSIqSaSO2+BII2LkxRKRQgiJpHL7298WJ9rnp9DiITEemCKfF1H0csTDRMgNAkcaAQ9+rb322qlb3/xOIarHLXDENr0gnzzcFIz+ki9Lm8gc0Vsv6ggbs0/wkBmCi6ARnUT8kGvykJEkUjPoP3mqRIA7derktiUlgdv2bIf08XAUD8YRnSTXlYguqQs+vYK+kifL/pTgNGWV9SnTtGCMCzm59J/jWn/99e2NN95wucA87PXss886EScqzfhxQcGDaVyoMGaMnRdaoqCIvL+4IfrMg2mMDfKMLBMxD4o8/SdazAN4Bx98sIt6E7VHqJlzmNzbefPmuX34nfqJ4vPgHOcWgu/zwNPbI6ocrJtc5WzHEkyNSD8/Wrdu7fKcSRVhPDinuGCLelaQSD94CaxMwpvAQUnrkoQ3+WMk4S2PMZLwlsc4RdpLxIWobTBH1E+5RT4rD2ER0SVaSEoDhd+JkFJIF2CmBj/nbfDJf+QDOUJwEUUKgopgIaYUZnhAmtjP3/rmdSSZ/NpsOZkIKBHoYPTXP6AVFEwelEO86AeFmQSQRaSQKDWihnhzHByTT0lAmJBBCg9WkU/sp22jLtIUEEj2RUoRY59ewT4+P5bb+0Q3g6WyPmUaXGbGQF79/Lv+lj0PBTL7A+PCRQaF9Auknag1D4oh9owXhfzXK664InVxwzRzpIBQL5FVxonIKBcFvvCwHgLr86gRVP8H3Y8/F0w8vJZ+bpCeQhqDfwgwvT14BuvmYirbsQRTI9LPD2aDQKo5b30UnPQHPy9zpB+Y5bgyCW/yB1fCm/wx8n8fo5yasjyOurx6KeEtr/GKtbc8xEUua7aZA5AXHjTLtOoaHecpf97LNKdvMQ6M1Agiiv7BLiTP9438U0SQ3OPgPMLIJGLsI4rp/YIBdeb7hy29T5UdN/3lIoH+cyGRqS/IrT++sAz5AkV0OMZsY5WpLqLBHHd6agrb0k+EO1NfwrQH13yOhQg+dxGQb6a/U8mNgIQ3N15xbC3hjYN67m0qhzd3ZqXeQ8JbauJqLzYCRIZJDSCyS/oBskfk1efkxtYxNSwCMRGQ8MYEPodmJbw5wIpxUwlvjPBDNi3hDQlKm5U/AfJOSaMgussUXg0bNiz/g9IRiEABBCS8BcAr0a4S3hKBLrAZCW+BAEuwu4S3BJDVhAiIgAgkkYCEN4mjUrFPEt7kjxE9lPAmf5wkvMkfI/VQBERABIpCQMJbFKyRVirhjRRn0SqT8BYNbWQVS3gjQ6mKREAERKC8CEh4kz9eEt7kj5EivOUxRhLe8hgn9VIEREAEIicg4Y0caeQVSngjR1qUChXhLQrWSCuV8EaKU5WJgAiIQPkQkPAmf6wkvMkfI0V4y2OMJLzlMU7qpQiIgAhETiCb8LLK3XXX93VzI6vES8AJ7z9mNWvVjLcjar1SAqxcyVLyKskl8N5779kp7TtYhw4dIutkjX+Y90lFBERABEQg0QSyCS+d/uTTT+3PP/5IdP+rQ+eWLFniDpNFf1SSS+Dnn392ixKpJJfAxIkTbZ111pHwJneI1DMREAERKA6ByoS3OC2q1lwJsKw5MaRcV1TMtR1tXxgBfZYK41eKvUeNGuU+S4rwloK22hABERCBBBHQl3SCBiNLVyS8yR8jeqjPUvLHScKb/DFSD0VABERABERABERABBJGQDm8CRsQdUcEREAEREAEREAERCBaAhLeaHmqNhEQAREQAREQAREQgYQRkPAmbEDUHREQARHwBHhog6muatWqFRrKp59+al988YXttddeoffRhoURYIxq1KhhK6ywwjIVMQXWDz/8YOuuu67bxpepU6das2bN3JPoKskg8Msvv9hLL71khxxyiNWsqanl4hwVxoIFQtZYY43IuiHhjQylKhIBERCBaAk89thjNnz4cJs0aVKFiq+//np79tlnK7zWsGFDGzlypI0ZM8YmT55sPPShUnwCixcvdk+St2/f3lq1apVqkIuVW2+91R599FH3Wu3ata1v375OcilI1RVXXGF777138TupFlIEKvvszJs3z7p27Wp87jSvdTwnzW+//WaXXHKJvf/++64D6623ng0ePNjWXnvtgjsk4S0YoSoQAREQgWgJfPbZZ3beeecZf/xXWmmljMK7cOFCu+CCC1INMxUWXw4S3mjHorLabrjhBps2bZrbpFu3bhWEd/bs2XbRRRcZgtW0aVO78cYb7YUXXnAyRSRYwlu6cQq2xHhk++xIeOMZk2Crd955pz3xxBN2xx13uIuOc845xxo1amR9+vQpuHMS3oIRqgIREAERiJbA0qVL7bvvvrOnn37axo4dm1F4f/rpJ+vXr98yDacL74MPPuikjC96bqurREeA6a1YbKJz587uXzDCO3DgQPvwww+NL3DKt99+a+3atbOhQ4fadtttV0F4v//+e+vVq5ftvvvudtppp0XXQdW0DAE+B9k+O+nC++abb9qAAQPs3HPPtd122000S0DgpJNOsgMOOMDOOOMM19qUKVNchJcUoGBKUD5dkfDmQ037iIAIiEAJCBDpuO222zIK74wZM2z77be31Vdf3X1B7Lrrrq5HQeF9+OGH3f79+/e3nXbaqQQ9rp5NHH300daxY8cKwkv0nbG5/PLLU1BatGjhxJbx8hHeJk2auC/3DTfc0I1TLvna1ZN2YUeN8Gb77ASFl7ss3bt3t5NPPtmlq6iUhgCfix49etihhx7qGnznnXfc7+PHj7f69esX1AkJb0H4tLMIiIAIhCfArVTya7MVckGDq3RlE15ui/OFzBK27777rrHuPF8Khx12WEp427Zt6yIj5I3usssu4TupLV3e7TfffJORBNHZ9LzbTMJ75pln2hZbbFEh7YQvc27RHnnkkU54GbMHHnjA1lxzTRdJJM9XJT8Cs2bNsjfeeCPjzlx4nHjiie69yj47XngHDRpkF154obVp00YR9/yGI6+9yHs/+OCDUxeFVDJ//nzr0qWLez6B5xQKKRLeQuhpXxEQARHIgQAzKJCikK0gQ6usskrq7WzCm74/D3n8+OOPdvvttzvhvfvuu90miC7Cq5Ibgfvvv9/NdJGp7Ljjju5LOVhyifBedtlltv/++zvhpfz999921113WePGjXPrpLauQODFF1+0V155JSMVnvQn5SRTCX52vPCSY82F57hx42zFFVcU6RIS4HPRs2fP1OfDR3gnTJhg9erVK6gnEt6C8GlnERABESgegbDCO2TIEJszZ46NGDHCCe+9997rbrEzwwM5oUR7VYpHIJPwksOLQPHwDYWIMbfHgzm8TB3H61999ZW7SGnQoEHxOqmaMxIIfna88J5yyinuwnSrrbYyHkzMNN2ccBaHQHoOL38DGSPl8BaHt2oVAREQgVgJcGuPh6GefPJJJ0IPPfSQmxfU3/JGpnhAiqgg6QzMBnDMMcfYWWedVSGHly8JbpWff/75qZy4WA9sOWuceUKZg5db3+R5Hn744S7NhIdruL1+8cUXuwg7szTwpT19+vRlZmlo3rx56gEd/2T6coYpUYdT2WcnmMPLhQifp3333deIyquUhoCfpYG7VczSwOwnmqWhNOzVigiIgAiUnID/4g02jBj5WRl42p+n/n0hdaF3795uCrP0WRpGjx7tIr7XXXdd6sG2kh/QctogFxJvvfVWhaPjC3uTTTYxLlpuvvnm1AOHRAkZP1IiKNy6ZcyI8jLbw+mnn+4WoWDuXkUUi3fCVPbZ8fmiEydOdCkNjC2Cm3L8AAAL3UlEQVRj3Lp169RFSfF6ppohwFSMXMAzwwmFzwQXi1Es0KKUBp1jIiACIlCGBFiJiBW8+CIIPuhWhoeyXHf5v//9rzHtGA/cFDqt0nINqoQHp89OCWHn2RTPJHAHJYoFJ3wXJLx5DoZ2EwEREAEREAEREAERKA8CEt7yGCf1UgREQAREQAREQAREIE8CEt48wWk3ERABERABERABERCB8iAg4S2PcVIvRUAEREAEREAEREAE8iQg4c0TnHYTAREQAREQAREQAREoDwIS3vIYJ/VSBERABERABERABEQgTwIS3jzBaTcREAEREAEREAEREIHyICDhLY9xUi9FQAREQAREQAREQATyJCDhzROcdhMBERABERABERABESgPAhLe8hgn9VIEREAEREAEREAERCBPAhLePMFpNxEQAREQAREQAREQgfIgIOEtj3FSL0VABERABERABERABPIkIOHNE5x2EwEREAEREAEREAERKA8CEt7yGCf1UgREQAREQAREQAREIE8CEt48wWk3ERABERABERABERCB8iAg4S2PcVIvRUAEREAEREAEREAE8iQg4c0TnHYTAREQAREQAREQAREoDwIS3vIYJ/VSBERABERABERABEQgTwIS3jzBaTcREAEREAEREAEREIHyICDhLY9xUi9FQAREQAREQAREQATyJCDhzROcdhMBERABERABERABESgPAhLe8hgn9VIEREAEREAEREAERCBPAhLePMFpNxEQAREQAREQAREQgfIgIOEtj3FSL0VABERABERABERABPIkIOHNE5x2EwEREAEREAEREAERKA8CEt7yGCf1UgREQAREQAREQAREIE8CEt48wWk3ERABERABERABERCB8iAg4S2PcVIvRUAEREAEREAEREAE8iQg4c0TnHYTAREQAREQAREQAREoDwIS3vIYJ/VSBERABERABERABEQgTwIS3jzBaTcREAEREAEREAEREIHyICDhLY9xUi9FQAREQAQqIbB06VJbtGiRrbDCCrbWWmtZzZo1xUsEREAEUgQkvDoZREAEREAEypbACy+8YHfeeae9//77FY7h0EMPtbPOOssaNWpU9GP766+/7Omnn7ZJkybZLbfcEqq9rl272syZM922bdu2tfPPP99uuOEGGzt2rHutefPm7riiKpn6yGu77rprqomBAwfaAQccEFWTqkcEEkVAwpuo4VBnREAEREAEwhLo16+fPfTQQ1k3b9CggY0YMcI23HDDsFXmvN0777xjV1xxhS1YsMDWWWcdmzJlSqg6kPFZs2ZVEN7+/fvbuHHj3Gs77rijDR8+PFRdVW2UrY8S3qrI6f3liYCEd3kaTR2LCIiACFQTArNnz7ZOnTpVOFok8ccff7RPPvkk9fq//vUvQySLVe6//34bMmSIqz4X4X399dfthx9+cPsRhd56661dP4shvNn6+M8//9gzzzxj/KQ0bdrUHYOKCCyPBCS8y+Oo6phEQAREYDkncN5559n06dNTRzl48GDbb7/9nLxdf/31NmHCBPfeHnvsYdyqX2mlldzvzz77rI0fP97efvtt9/s222xj++67r7Vp08Zq1arlXrv33nvddpTWrVsb+cHUR9rEtttua5dccoltt912dtddd7kUhP/85z+pfvA+aQEdO3a0yy67zEV+KSeddJI9+OCD9umnn9qJJ55ov/32mxF5pRxyyCF28sknVxBeBJi0hieeeMKWLFlie+21l11wwQUuP5nC8Xthbt++vR188ME2Z84cd6y+3H333TZy5MisfTz11FPtlFNOSW1PnTvvvLP7/c8//7TRo0fbc88951gRLd9+++3tuOOOs3322cdt8/3331v37t1T+w8YMMCGDh1qL7/8stWpU8eOPPJIO/vss1Ncl/NTUoeXcAIS3oQPkLonAiIgAiKwLIGWLVvat99+697YYostbMyYMamNfvrpJ/vyyy/d615ieXPQoEFO4jIV5JL82xVXXNH69u2bEua6deva77//XmEX5G/y5MlOrMnbTS/HHHOMXX755Xb88cdXiDb77ZDAV199tdKUhkx93GCDDVy/ateubUSuvWhfeOGFTtgRzXPPPTe1K7+T9pGtj5deemnGHF4Em+j53LlzM7I67bTT7JxzzrGvv/7aDj/88NQ2cAnKP2/QBhxURCBuAhLeuEdA7YuACIiACOREACHbc889U/u0aNHCiV1lhXxZ8mZ9IYJKtDQYJe7Zs6e1a9eugvBmq5M0gZdeesmlIKRHePfff387/fTTMwovAv3II484Ia4sh5d22ZZIabD+a6+91g477LDQwnvfffdl7SMR3kwPrfGw3B133JE6dCLWCxcutHnz5qVeGzVqlK2xxhoVhNf3OXiBQNSd6LuKCMRNQMIb9wiofREQAREQgZwIpAvvgQceaNxOr6wEo7uIJLM7MIVZcLYEcljvueeeZYT3qaeecqkJnTt3TjVx0003uTSDynJ4gxFe2pw4caKtvvrqVqNGDSffVQnvk08+afXr17eDDjooFWUm9aFHjx6hhZdUjmx9zPbQWrDfzHZx3XXXubSK4EXGmWeeaa1ataogvMw2Qd9g6o+NC4sHHnggp/HVxiJQDAIS3mJQVZ0iIAIiIAJFJUAeqY8kpqc08EAYEVRu+xNtRWQRsRkzZrg+EbH0ua7BaCZSStQ2mNLghe3XX391OcK+kKtKH8IKL1FZorO+VCW8G220kYsEU0gfeOWVV9z/vYBmSmmYNm2ayy/2hZSGXIUXXj6Pl3ouvvhiO+GEE1yVpDnwsCCF4yE1I5jS4JncfPPNbnYMioS3qB8DVZ4DAQlvDrC0qQiIgAiIQDIIkLfqHyyjR8xhS6R38eLFTtK83PLe1KlT3S16/yDbJpts4h5co5BjyvsUHjjjVn1QePfee2+78cYbXb3835dchbdDhw7uQTNfqhJetkNyySkOyu0ZZ5xhRFeDr/l5fIk685BaIcLLxQCR2y+++MJV4+vmYUAe7vMXGaRD8EBfUHhJn+BhvltvvdV4YE7Cm4zPinrxfwQkvDoTREAEREAEyo4AizZw6zxYeKjLi5p/nZkCrrrqKveQWe/evVObsy/pBcitL15KcxFecniD054RxW3YsKE1a9asQg4vkoqs5iK8yCd99JFe9kXsSXHgIbVgTi15zER4g8VHeLP1sUmTJhlzeK+++mqXfkEh6s3FBbNLBGUa4SeyLuEtu49Ote2whLfaDr0OXAREQATKmwB5u8HZGdKPhlkDWLyhcePGRr4qEVafGpBp24cfftjq1auXU4SXFIjg1FzUy9RdvXr1Klh40/tImgMR6FVXXdXl1dLfyooX3mx9JBKe6aE1phtj6rT0GRd8W0S6Ed5vvvlGwlveH6Fq1XsJb7Uabh2sCIiACCw/BLjNTvSTf8EptIhK7rLLLi5dYe21104d8C+//OIeSuPWe7CQj8p0Xn7bYISXPF3k7r///a97SM0Xn9LAHL3kCwejqz5HOPjwFykMwYfeMi0tHFx4grxZZkbwqRnkwiK5yDtl0aJFNmzYsNSUY8gwkdhu3bql+uiFN1sfaS/b0sI8pEeKBPPw+gJXouDM+0tuMMILO1+QcdJCbrvtttQqccrhXX4+b+V+JBLech9B9V8EREAERMDl2DIv7CqrrFLlamF///23WzSBqC8rizFbQ6Hlu+++Mx5sY6ouosRRFepkhoQ111wzY5W8zyIRRLOrKvn0EVmGK7LLsamIQLkSkPCW68ip3yIgAiIgAiIgAiIgAqEISHhDYdJGIiACIiACIiACIiAC5UpAwluuI6d+i4AIiIAIiIAIiIAIhCIg4Q2FSRuJgAiIgAiIgAiIgAiUKwEJb7mOnPotAiIgAiIgAiIgAiIQioCENxQmbSQCIiACIiACIiACIlCuBCS85Tpy6rcIiIAIiIAIiIAIiEAoAhLeUJi0kQiIgAiIgAiIgAiIQLkSkPCW68ip3yIgAiIgAiIgAiIgAqEISHhDYdJGIiACIiACIiACIiAC5UpAwluuI6d+i4AIiIAIiIAIiIAIhCLw/wDCubikp96z8gAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.filter(max_contrib=8,positive=False,features_to_hide=['BsmtFullBath','GarageType'])\n",
    "xpl.plot.local_plot(index=268)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Select a row with a query\n",
    "\n",
    "You can selct with an index or a row number. You can also use a query:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xpl.filter(max_contrib=3,positive=False)\n",
    "xpl.plot.local_plot(query=\"LotArea == 8400 and LotShape == 'Regular' and TotalBsmtSF == 720\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Classification Case\n",
    "\n",
    "transform our use case into classification:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "ytrain['PriceClass'] = ytrain['SalePrice'].apply(lambda x: 1 if x < 150000 else (3 if x > 300000 else 2))\n",
    "label_dict = { 1 : 'Cheap', 2 : 'Moderately Expensive', 3 : 'Expensive' }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "clf = CatBoostClassifier(n_estimators=50).fit(Xtrain,ytrain['PriceClass'],verbose=False)\n",
    "y_pred_clf = pd.DataFrame(clf.predict(Xtest),columns=['pred'],index=Xtest.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Declare new SmartExplainer dedicated to classification problem "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "xplclf = SmartExplainer(features_dict=house_dict,label_dict=label_dict) # Optional parameters: display explicit output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Backend: Shap TreeExplainer\n"
     ]
    }
   ],
   "source": [
    "xplclf.compile(\n",
    "    x=Xtest,\n",
    "    model=clf,\n",
    "    preprocessing=encoder,\n",
    "    y_pred=y_pred_clf\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Use label parameter of local_plot parameter to select the explanation you want\n",
    "\n",
    "with label parameter, you can specify explicit label or label number "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xplclf.filter(max_contrib=7,positive=True)\n",
    "xplclf.plot.local_plot(index=268,label='Moderately Expensive')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### See the summary parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'features_to_hide': None,\n",
       " 'threshold': None,\n",
       " 'positive': True,\n",
       " 'max_contrib': 7}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xplclf.mask_params"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Export explanations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Export your local explanation in pd.DataFrame with to_pandas method :\n",
    "\n",
    "- The to_pandas method has the same parameters as the filter method <br />\n",
    "- if you don't specify any parameter, to_pandas use the same params you specified when you call filter method<br />\n",
    "- When you work on classification problem, parameter proba=True output predict probability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "to_pandas params: {'features_to_hide': None, 'threshold': None, 'positive': True, 'max_contrib': 7}\n"
     ]
    }
   ],
   "source": [
    "summary_df= xplclf.to_pandas(proba=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>pred</th>\n",
       "      <th>proba</th>\n",
       "      <th>feature_1</th>\n",
       "      <th>value_1</th>\n",
       "      <th>contribution_1</th>\n",
       "      <th>feature_2</th>\n",
       "      <th>value_2</th>\n",
       "      <th>contribution_2</th>\n",
       "      <th>feature_3</th>\n",
       "      <th>value_3</th>\n",
       "      <th>...</th>\n",
       "      <th>contribution_4</th>\n",
       "      <th>feature_5</th>\n",
       "      <th>value_5</th>\n",
       "      <th>contribution_5</th>\n",
       "      <th>feature_6</th>\n",
       "      <th>value_6</th>\n",
       "      <th>contribution_6</th>\n",
       "      <th>feature_7</th>\n",
       "      <th>value_7</th>\n",
       "      <th>contribution_7</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Moderately Expensive</td>\n",
       "      <td>0.994917</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>1792</td>\n",
       "      <td>0.309308</td>\n",
       "      <td>Interior finish of the garage?</td>\n",
       "      <td>Rough Finished</td>\n",
       "      <td>0.275467</td>\n",
       "      <td>Size of garage in square feet</td>\n",
       "      <td>564</td>\n",
       "      <td>...</td>\n",
       "      <td>0.182722</td>\n",
       "      <td>Physical locations within Ames city limits</td>\n",
       "      <td>College Creek</td>\n",
       "      <td>0.170888</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>7</td>\n",
       "      <td>0.164045</td>\n",
       "      <td>Height of the basement</td>\n",
       "      <td>Good (90-99 inches)</td>\n",
       "      <td>0.139618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>Moderately Expensive</td>\n",
       "      <td>0.876916</td>\n",
       "      <td>Second floor square feet</td>\n",
       "      <td>720</td>\n",
       "      <td>0.183251</td>\n",
       "      <td>Full bathrooms above grade</td>\n",
       "      <td>2</td>\n",
       "      <td>0.155086</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>2192</td>\n",
       "      <td>...</td>\n",
       "      <td>0.143119</td>\n",
       "      <td>Type 1 finished square feet</td>\n",
       "      <td>378</td>\n",
       "      <td>0.142439</td>\n",
       "      <td>First Floor square feet</td>\n",
       "      <td>1052</td>\n",
       "      <td>0.127817</td>\n",
       "      <td>Half baths above grade</td>\n",
       "      <td>1</td>\n",
       "      <td>0.127717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>Cheap</td>\n",
       "      <td>0.997304</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>900</td>\n",
       "      <td>0.818922</td>\n",
       "      <td>Size of garage in square feet</td>\n",
       "      <td>280</td>\n",
       "      <td>0.561631</td>\n",
       "      <td>Total square feet of basement area</td>\n",
       "      <td>882</td>\n",
       "      <td>...</td>\n",
       "      <td>0.349033</td>\n",
       "      <td>Full bathrooms above grade</td>\n",
       "      <td>1</td>\n",
       "      <td>0.324806</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>5</td>\n",
       "      <td>0.318031</td>\n",
       "      <td>First Floor square feet</td>\n",
       "      <td>900</td>\n",
       "      <td>0.247826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>Cheap</td>\n",
       "      <td>0.998653</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>630</td>\n",
       "      <td>0.816398</td>\n",
       "      <td>Size of garage in square feet</td>\n",
       "      <td>0</td>\n",
       "      <td>0.587745</td>\n",
       "      <td>Total square feet of basement area</td>\n",
       "      <td>630</td>\n",
       "      <td>...</td>\n",
       "      <td>0.355685</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>4</td>\n",
       "      <td>0.317549</td>\n",
       "      <td>Full bathrooms above grade</td>\n",
       "      <td>1</td>\n",
       "      <td>0.31303</td>\n",
       "      <td>General zoning classification</td>\n",
       "      <td>Residential Medium Density</td>\n",
       "      <td>0.178395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>Cheap</td>\n",
       "      <td>0.852389</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>1188</td>\n",
       "      <td>0.942118</td>\n",
       "      <td>Remodel date</td>\n",
       "      <td>1959</td>\n",
       "      <td>0.423368</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0.373812</td>\n",
       "      <td>Number of fireplaces</td>\n",
       "      <td>0</td>\n",
       "      <td>0.168725</td>\n",
       "      <td>Rating of basement finished area</td>\n",
       "      <td>Average Rec Room</td>\n",
       "      <td>0.130175</td>\n",
       "      <td>Wood deck area in square feet</td>\n",
       "      <td>0</td>\n",
       "      <td>0.12249</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      pred     proba                       feature_1 value_1  \\\n",
       "259   Moderately Expensive  0.994917  Ground living area square feet    1792   \n",
       "268   Moderately Expensive  0.876916        Second floor square feet     720   \n",
       "289                  Cheap  0.997304  Ground living area square feet     900   \n",
       "650                  Cheap  0.998653  Ground living area square feet     630   \n",
       "1234                 Cheap  0.852389  Ground living area square feet    1188   \n",
       "\n",
       "     contribution_1                       feature_2         value_2  \\\n",
       "259        0.309308  Interior finish of the garage?  Rough Finished   \n",
       "268        0.183251      Full bathrooms above grade               2   \n",
       "289        0.818922   Size of garage in square feet             280   \n",
       "650        0.816398   Size of garage in square feet               0   \n",
       "1234       0.942118                    Remodel date            1959   \n",
       "\n",
       "     contribution_2                                 feature_3 value_3  ...  \\\n",
       "259        0.275467             Size of garage in square feet     564  ...   \n",
       "268        0.155086            Ground living area square feet    2192  ...   \n",
       "289        0.561631        Total square feet of basement area     882  ...   \n",
       "650        0.587745        Total square feet of basement area     630  ...   \n",
       "1234       0.423368  Overall material and finish of the house       5  ...   \n",
       "\n",
       "     contribution_4                                   feature_5  \\\n",
       "259        0.182722  Physical locations within Ames city limits   \n",
       "268        0.143119                 Type 1 finished square feet   \n",
       "289        0.349033                  Full bathrooms above grade   \n",
       "650        0.355685    Overall material and finish of the house   \n",
       "1234       0.373812                        Number of fireplaces   \n",
       "\n",
       "            value_5 contribution_5                                 feature_6  \\\n",
       "259   College Creek       0.170888  Overall material and finish of the house   \n",
       "268             378       0.142439                   First Floor square feet   \n",
       "289               1       0.324806  Overall material and finish of the house   \n",
       "650               4       0.317549                Full bathrooms above grade   \n",
       "1234              0       0.168725          Rating of basement finished area   \n",
       "\n",
       "               value_6 contribution_6                      feature_7  \\\n",
       "259                  7       0.164045         Height of the basement   \n",
       "268               1052       0.127817         Half baths above grade   \n",
       "289                  5       0.318031        First Floor square feet   \n",
       "650                  1        0.31303  General zoning classification   \n",
       "1234  Average Rec Room       0.130175  Wood deck area in square feet   \n",
       "\n",
       "                         value_7 contribution_7  \n",
       "259          Good (90-99 inches)       0.139618  \n",
       "268                            1       0.127717  \n",
       "289                          900       0.247826  \n",
       "650   Residential Medium Density       0.178395  \n",
       "1234                           0        0.12249  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is also possible to calculate the probability relating to one of the target modality for all the dataset, and to display the elements of explainability associated with this target modality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create One column pd.DataFrame with constant value\n",
    "constantpred=pd.DataFrame([3 for x in range(Xtest.shape[0])],columns=['pred'],index=Xtest.index)\n",
    "xplclf.add(y_pred=constantpred)\n",
    "summary_df = xplclf.to_pandas(proba=True,max_contrib=3,threshold=0.1,positive=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pred</th>\n",
       "      <th>proba</th>\n",
       "      <th>feature_1</th>\n",
       "      <th>value_1</th>\n",
       "      <th>contribution_1</th>\n",
       "      <th>feature_2</th>\n",
       "      <th>value_2</th>\n",
       "      <th>contribution_2</th>\n",
       "      <th>feature_3</th>\n",
       "      <th>value_3</th>\n",
       "      <th>contribution_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Expensive</td>\n",
       "      <td>0.003081</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>1792</td>\n",
       "      <td>0.327986</td>\n",
       "      <td>Overall material and finish of the house</td>\n",
       "      <td>7</td>\n",
       "      <td>0.197494</td>\n",
       "      <td>Rating of basement finished area</td>\n",
       "      <td>Good Living Quarters</td>\n",
       "      <td>0.181953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>Expensive</td>\n",
       "      <td>0.007627</td>\n",
       "      <td>Ground living area square feet</td>\n",
       "      <td>2192</td>\n",
       "      <td>0.825571</td>\n",
       "      <td>Wood deck area in square feet</td>\n",
       "      <td>262</td>\n",
       "      <td>0.251474</td>\n",
       "      <td>Remodel date</td>\n",
       "      <td>1997</td>\n",
       "      <td>0.157067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>Expensive</td>\n",
       "      <td>0.000024</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>Expensive</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>Expensive</td>\n",
       "      <td>0.000623</td>\n",
       "      <td>Type of sale</td>\n",
       "      <td>Court Officer Deed/Estate</td>\n",
       "      <td>0.114506</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           pred     proba                       feature_1  \\\n",
       "259   Expensive  0.003081  Ground living area square feet   \n",
       "268   Expensive  0.007627  Ground living area square feet   \n",
       "289   Expensive  0.000024                             NaN   \n",
       "650   Expensive  0.000056                             NaN   \n",
       "1234  Expensive  0.000623                    Type of sale   \n",
       "\n",
       "                        value_1 contribution_1  \\\n",
       "259                        1792       0.327986   \n",
       "268                        2192       0.825571   \n",
       "289                         NaN            NaN   \n",
       "650                         NaN            NaN   \n",
       "1234  Court Officer Deed/Estate       0.114506   \n",
       "\n",
       "                                     feature_2 value_2 contribution_2  \\\n",
       "259   Overall material and finish of the house       7       0.197494   \n",
       "268              Wood deck area in square feet     262       0.251474   \n",
       "289                                        NaN     NaN            NaN   \n",
       "650                                        NaN     NaN            NaN   \n",
       "1234                                       NaN     NaN            NaN   \n",
       "\n",
       "                             feature_3               value_3 contribution_3  \n",
       "259   Rating of basement finished area  Good Living Quarters       0.181953  \n",
       "268                       Remodel date                  1997       0.157067  \n",
       "289                                NaN                   NaN            NaN  \n",
       "650                                NaN                   NaN            NaN  \n",
       "1234                               NaN                   NaN            NaN  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "NB: The to_pandas method returns Nan for lines that do not meet your conditions"
   ]
  }
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