Covid_plot_Deaths_and_Income.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import libraries \n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import requests\n",
    "from scipy.stats import linregress\n",
    "import scipy.stats as st"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#grabbing cleaned state data from team resources folder\n",
    "allbystate_path = \"../George/Resources/AllByState-Daily.csv\"\n",
    "allbystate_df = pd.read_csv(allbystate_path)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#setting variable for date to replicate plots and calculations below for dates in series\n",
    "date = pd.to_datetime(allbystate_df['Date']).max().date()\n",
    "date_snapshot = allbystate_df.loc[allbystate_df[\"Date\"]==str(date),:]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " The total deaths related to Covid-19 across the U.S. on 2020-07-23 is 143518\n",
      " The average deaths across the U.S. on 2020-07-23 is 2870.36\n",
      " The median deaths across the U.S. on 2020-07-23 is 1095.0\n",
      " The variance of deaths across the U.S. on 2020-07-23 is 26980117.35\n",
      " The standard deviation deaths across the U.S. on 2020-07-23 is 5194.24\n",
      " The standard error of the mean of deaths across the U.S. on 2020-07-23 is 742.03\n",
      " The lower bound of deaths that may indicate outliers is -4208.38\n",
      " The upper bound of deaths that may indicate outliers is 7860.62\n"
     ]
    }
   ],
   "source": [
    "#statistical summary for the Deaths on a given Date\n",
    "date_total_deaths = date_snapshot[\"Deaths\"].sum()\n",
    "date_mean = date_snapshot[\"Deaths\"].mean()\n",
    "date_median = date_snapshot[\"Deaths\"].median()\n",
    "date_variance = date_snapshot[\"Deaths\"].var(ddof=0)\n",
    "date_std = date_snapshot[\"Deaths\"].std(ddof=0)\n",
    "date_sem = date_snapshot[\"Deaths\"].sem()\n",
    "\n",
    "#calculating outliers\n",
    "quartiles = date_snapshot[\"Deaths\"].quantile([.25,0.5,.75])\n",
    "lowerq = quartiles[.25]\n",
    "upperq = quartiles[.75]\n",
    "iqr = upperq - lowerq\n",
    "lower_bound = lowerq - (1.5*iqr)\n",
    "upper_bound = upperq + (1.5*iqr)\n",
    "\n",
    "\n",
    "print(f\" The total deaths related to Covid-19 across the U.S. on {date} is {date_total_deaths}\")\n",
    "print(f\" The average deaths across the U.S. on {date} is {date_mean}\")\n",
    "print(f\" The median deaths across the U.S. on {date} is {date_median}\")\n",
    "print(f\" The variance of deaths across the U.S. on {date} is {round(date_variance,2)}\")\n",
    "print(f\" The standard deviation deaths across the U.S. on {date} is {round(date_std,2)}\")\n",
    "print(f\" The standard error of the mean of deaths across the U.S. on {date} is {round(date_sem,2)}\")\n",
    "print(f\" The lower bound of deaths that may indicate outliers is {round(lower_bound,2)}\")\n",
    "print(f\" The upper bound of deaths that may indicate outliers is {round(upper_bound,2)}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y = 0.14x + -4714.59\n",
      "The correlation between Median Household Income & Covid-19 Deaths as of 2020-07-23 is 0.31\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Creating Scatterplot & calculating correlation of latest Coronavirus Death data to plot with Median Household Income\n",
    "snapshot_df = date_snapshot[[\"Date\", \"Deaths\", \"State\",\"Median Household Income\", \"Per Capita Income\"]]\n",
    "snapshot_df\n",
    "\n",
    "deaths = snapshot_df[\"Deaths\"]\n",
    "median_hi = snapshot_df[\"Median Household Income\"]\n",
    "\n",
    "(slope, intercept, rvalue, pvalue, stderr) = linregress(median_hi, deaths)\n",
    "regress_values = median_hi * slope + intercept\n",
    "line_eq = \"y = \" + str(round(slope,2)) + \"x + \" + str(round(intercept,2))\n",
    "\n",
    "plt.scatter(median_hi, deaths)\n",
    "plt.plot(median_hi, regress_values, 'r-')\n",
    "plt.annotate(line_eq, (70000,10000), fontsize=10, color='red')\n",
    "plt.xlabel(\"Median Household Income ($)\")\n",
    "plt.ylabel(f\"Covid-19 Deaths\")\n",
    "plt.title(f\"Deaths as of {date} & Median Household Income by State\")\n",
    "plt.grid(True)\n",
    "\n",
    "correlation = st.pearsonr(median_hi, deaths)\n",
    "corr = (f\"The r^2 value = {round(correlation[0],2)}\")\n",
    "plt.annotate(corr, (70000,12000),fontsize=10, color=\"green\")\n",
    "print(line_eq)\n",
    "print(f\"The correlation between Median Household Income & Covid-19 Deaths as of {date} is {round(correlation[0],2)}\")\n",
    "plt.savefig(\"Covid_Deaths_and_Median_Income_Plot.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#scatterplot & corrrelation of deaths but with per capita income\n",
    "deaths = snapshot_df[\"Deaths\"]\n",
    "per_cap = snapshot_df[\"Per Capita Income\"]\n",
    "\n",
    "(slope, intercept, rvalue, pvalue, stderr) = linregress(per_cap, deaths)\n",
    "regress_values = per_cap * slope + intercept\n",
    "line_eq = \"y = \" + str(round(slope,2)) + \"x + \" + str(round(intercept,2))\n",
    "\n",
    "plt.scatter(per_cap, deaths)\n",
    "plt.plot(per_cap, regress_values, 'r-')\n",
    "plt.annotate(line_eq, (30000,10000), fontsize=10, color='red')\n",
    "plt.xlabel(\"Per Capita Income ($)\")\n",
    "plt.ylabel(f\"Covid-19 Deaths\")\n",
    "plt.title(f\"Deaths as of {date} & Per Capita Income by State\")\n",
    "plt.grid(True)\n",
    "correlation = st.pearsonr(per_cap, deaths)\n",
    "corr = (f\"r^2 = {round(correlation[0],2)}\")\n",
    "plt.annotate(corr, (30000, 12000), fontsize=10, color='green')\n",
    "plt.savefig(\"Covid_Deaths_And_Per_Cap_Income_Plot.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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n6MiPxpgop7w+sM+jXpxTdrrymkCytTY7X3mptHjxYvz8/LjvvvvcZZGRkXTt2pXHH3+ctm3bEh4ezqxZswBYsmQJPXr04KabbqJly5YMHjwYay3gutPn+PHjad++PeHh4WzduhWA1NRUhg4dSlRUFBdddBHz5s0DICcnh1GjRhEeHk5ERASvv/46U6ZM4cCBA/Ts2ZOePXu6201KSgJg2rRpRERE0K5dO26//XYA7rzzTmbPnu2OPzAwEIAnnniCZcuWERkZySuvvFKUh1FERESkVCjuWVB8gRrAxUAU8LkxpglQ0OBdS8FfEGwh9QtkjBkGDANo2LBhoQE++9/NbDlwtNA656p1vWqMv6bNaZdv2rSJDh06nFI+Z84c1q9fz6+//kpSUhJRUVFcdtllAKxbt47NmzdTr149unTpwvLly+natSsAISEhrF27lrfeeovJkyfzwQcf8Pzzz9OrVy8++ugjkpOT6dSpE1dccQXTpk1j9+7drFu3Dl9fX44cOUJwcDAvv/wyixcvJiQkJE9Mmzdv5vnnn2f58uWEhIRw5Ej+HznyevHFF5k8eTL/+9//zvWwiYiIiJRJxd0DHgfMsS6rgFwgxClv4FEvFDhQSHkSUN0Y45uvvEDW2vestR2ttR1r1ap13namqP30008MHDgQHx8fateuTffu3Vm9ejUAnTp1IjQ0lAoVKhAZGUlsbKx7vRtuuAGADh06uMsXLlzIiy++SGRkJD169CAjI4O9e/eyaNEi7rvvPnx9XYcyODi40Jh++OEHbrrpJndifqb6IiIiIpJXcfeAf4Vr7PYSY0xzoCKuZPpr4DNjzMtAPaAZsApXT3czY0wYsB/XhZqDrLXWGLMYuAnXuPAhwLzzEWBhPdVFpU2bNnmGb5x0clhJQfz9/d3PfXx8yM7OPmWZZ7m1li+//JIWLVqcso1zmT3kdPV9fX3Jzc111zlx4sRZtykiIiJSnhTlNIQzgBVAC2NMnDHm78BHQBNnasKZwBCnN3wz8DmwBfgGeMBam+OM8X4Q+BaIAT536gKMAR4zxuzANSb8w6Lal6LWq1cvMjMzef/9991lq1evpkaNGsyaNYucnBwSExNZunQpnTp1+lPb6Nu3L6+//ro7qV+3bh0Affr04Z133nEn6ieHlFStWpVjx46d0s7ll1/O559/zuHDh/PUb9y4MWvWrAFg3rx5ZGVlFdqOiIiISHlVlLOgDLTW1rXW+llrQ621H1prT1hrb7PWtrXWtrfW/uBR/3lrbVNrbQtr7f95lC+w1jZ3lj3vUb7LWtvJWnuhtfZvJ2dWKY2MMcydO5fvvvuOpk2b0qZNGyZMmMCgQYPcFzv26tWLl156iTp16vypbTzzzDNkZWURERFB27ZteeaZZwC4++67adiwoXs7J2csGTZsGP3793dfhHlSmzZteOqpp+jevTvt2rXjscceA+Cee+7hxx9/pFOnTvzyyy9UqVIFgIiICHx9fWnXrp0uwhQREREBTGHDHMqijh072ujo6DxlMTExtGrVyksRyfmkcykiIlKyHUo7xMqDK/H38SfAJwB/X9e/fj5+rgr5UlOL5asdXzHrt1l/anvv9X6PS+pd8hejPnfGmDXW2o4FLSvuMeAiIiIiUg5k52Zz4PgBDqQeICM7g8ycTE7knODJn54s1jhybW6xbu9sKAEXERERkb8kKyeLXxN/ZXX8arYnb2d3ym72HN1DVm7Wn25zYMuBdKnXBaDACSDSs9PZmbwTcPWSZ+ZkckndS7zS232ulICLiIiIyFmx1nIs6xjxqfEkpCawM3knK+NXsjZhLenZ6VQwFWhYtSFhQWFcFnoZYUFh1A+sT2XfylT0qYi/jz8VfSoS4BNARZ+KVPSpiG+F8peOlr89FhERESlH0rLS2HdsH+nZ6aRnp5OWnQYWcmyO+7V7WdYfz/O/TstOIyk9ifTs9DzthwWFcf2F19O5bmei6kRRrWI1L+1p6aEEXERERKQM6/xZ57OuW8m3Up5HZb/KVPKtRPWA6lTyrUTNgJrUqVKH2lVqU6dyHUKrhhJSKeTMDUseSsBFREREyrDnujzHJ5s/obJvZXdinZGTwbbft3Ek44i7XnX/6jQJakLNSjUxGAa2HEjHOgVO4iF/kRLwEsIYw2233cZ//vMfALKzs6lbty6dO3fmf//7X7HHs2TJEiZPnlxk205OTuazzz7j/vvvByA2Npaff/6ZQYMGFcn2REREyqvrL7ye6y+8Pk9ZWlYae47uYWfKThbGLmTxvsUkZyaz9tBad52FexayccjG4g63XFACXkJUqVKFTZs2kZ6eTqVKlfjuu++oX7++t8MqMsnJybz11lt5EvDPPvtMCbiIiMh5kpmTSdyxOGKPxrL36F72HN3jfiSmJ+apW7tybRpVa+R+VKtYjc51z37oipwbJeAlSP/+/Zk/fz433XQTM2bMYODAgSxbtgyAVatW8cgjj7gT9I8//pgWLVqwefNm7rrrLk6cOEFubi5ffvkl9erV4+abbyYuLo6cnByeeeYZbrnlFiZOnMh///tf0tPTufTSS3n33XcxxrBjxw7uu+8+EhMT8fHx4YsvvgDg+PHj3HTTTWzatIkOHTrw6aefYoyhcePGREdHExISQnR0NKNGjWLJkiX8+OOPjBgxAnD16C9dupSqVavyr3/9i88//5zMzEwGDBjAs88+yxNPPMHOnTuJjIykd+/eLFu2jJiYGCIjIxkyZAh9+vQ5Zb+aNWvmtXMjIiJS0lhrSc5MZv/x/cQdj+PA8QPsP7affcf2sffYXg4cP4D1uKtNcEAwjao14tJ6l9I4qDENqzakUbVGNKzWkEq+lby4J+WPEvD8/u8JiD/PP7fUCYf+L56x2q233srEiRO5+uqr2bBhA0OHDnUn4C1btmTp0qX4+vqyaNEinnzySb788kveeecdRowYweDBgzlx4gQ5OTksWLCAevXqMX/+fABSUlIAePDBBxk3bhwAt99+O//73/+45pprGDx4ME888QQDBgwgIyOD3Nxc9u3bx7p169i8eTP16tWjS5cuLF++nK5du542/smTJ/Pmm2/SpUsXjh8/TkBAAAsXLmT79u2sWrUKay3XXnstS5cu5cUXX2TTpk2sX78eOHXIy0MPPXTKfomIiJRnccfimB4znbjjcew/vp8Dxw+QmpWap051/+qEBobSrlY7rmt6HQ2rNaRxtcY0rNaQqhWreilyyU8JeAkSERFBbGwsM2bM4Morr8yzLCUlhSFDhrB9+3aMMWRluSa2v+SSS3j++eeJi4vjhhtuoFmzZoSHhzNq1CjGjBnD1VdfTbdu3QBYvHgxL730EmlpaRw5coQ2bdrQo0cP9u/fz4ABAwAICAhwb7NTp06EhoYCEBkZSWxsbKEJeJcuXXjssccYPHgwN9xwA6GhoSxcuJCFCxdy0UUXAa5e9e3bt9OwYcNCj0VB+yUiIlIeWGvJzs3mRO4J990jM3MymbdjHp/GfHpK/X9d9i/3fNuBFQO9ELGcKyXg+Z1FT3VRuvbaa91DOg4fPuwuf+aZZ+jZsydz584lNjaWHj16ADBo0CA6d+7M/Pnz6du3Lx988AG9evVizZo1LFiwgLFjx9KnTx9Gjx7N/fffT3R0NA0aNGDChAlkZGRgrT1NJODv7+9+7uPjQ3Z2NgC+vr7k5rpu65qRkeGu88QTT3DVVVexYMECLr74YhYtWoS1lrFjx3LvvffmaTs2NrbQ43C6/RIRESkLZm2dxfsb3yctK4207DRy7J//pddiaRHc4jxGJ0VNCXgJM3ToUIKCgggPD2fJkiXu8pSUFPdFmVOnTnWX79q1iyZNmvDwww+za9cuNmzYQMuWLQkODua2224jMDCQqVOnuhPlkJAQjh8/zuzZs7npppuoVq0aoaGhfPXVV1x//fVkZmaecbhH48aNWbNmDf379+fLL790l+/cuZPw8HDCw8NZsWIFW7dupW/fvjzzzDMMHjyYwMBA9u/fj5+fH1WrVuXYsWPudfO/Lmi/lICLiEhZ8Y9f/nFW9a5reh3ta7f/4y6SFSrmuaOkMYbWwa2LOFo535SAlzChoaHuCxk9jR49miFDhvDyyy/nSURnzZrFp59+ip+fH3Xq1GHcuHGsXr2axx9/nAoVKuDn58fbb79N9erVueeeewgPD6dx48ZERUW52/jPf/7Dvffey7hx4/Dz83NfhHk648eP5+9//zuTJk2ic+c/rpB+9dVXWbx4MT4+PrRu3Zr+/fvj7+9PTEwMl1xyCQCBgYF8+umnNG3alC5dutC2bVv69+/PpEmT8PX1pV27dtx5551kZGScsl8iIiKlRUZ2BvuO7XPPOnLg+AES0xM5nH74lBlICnNvu3tpULVBEUYq3mAKG4JQFnXs2NFGR0fnKYuJiaFVq1ZeikjOJ51LEREpbhnZGWw9spVfE39lY9JGNiVtYv/x/XnqVPevTq3KtQgJCKFW5VrUrFSTWpVqUavSH89DKoVQxa8Kxhgv7YmcT8aYNdbaAu9kpB5wERERkbNkrWXvsb1sSNzAhsQNbEzayG9HfiPbuq6TqlulLuEh4Vx34XU0qtqIRkGNaFS1kS6OlDyUgIuIiIg4jp44yr5j+9h3bB9xx+KIT43nSMYRDqcf5kjGEZLSkziedRyASr6VaBvSliFthhBeK5yIkAhqVa7l5T2Q0kAJuIiIiJQ7x08c57fff2PH7zvYnrydHck72Jm8k+TM5Dz1gvyDqBlQk+CAYJrXaM7FdS+mRXALwkPCubD6hfhU8PHSHkhppgRcREREyrwdv+9gTcIaNiZtZGPSRnan7HbfJTLQL5ALq1/I5Q0vp1G1RjSo2oAGVRsQWjWUKn5VvBy5lEVKwEVERKRMi0+NZ8DXrhvOBQcEEx4STv+w/rSu2ZrmNZpTu3JtXfgoxUoJuIiIiJRpe4/uBeDlHi9zRcMrlGyL11XwdgDiYoxh5MiR7teTJ09mwoQJ56392NhY2rZte97aExERKS0S0hIAaFa9mZJvKRGUgJcQ/v7+zJkzh6SkJG+HAnDGu2GKiIiUFicT8NpVans5EhEXJeAlhK+vL8OGDeOVV145ZVliYiI33ngjUVFRREVFsXz5cgDCw8NJTk7GWkvNmjWZNm0aALfffjuLFi067bZycnJ4/PHHiYqKIiIignfffReAJUuW0LNnTwYNGkR4eDipqalcddVVtGvXjrZt2zJr1iwA1qxZQ/fu3enQoQN9+/bl4MGD7Ny5k/bt27u3sX37djp06HDejo+IiMifFZ8aT5B/EJV8K3k7FBFAY8BP8c9V/2Trka3ntc2WwS0Z02nMGes98MADREREMHr06DzlI0aM4NFHH6Vr167s3buXvn37EhMTQ5cuXVi+fDmNGjWiSZMmLFu2jDvuuIOVK1fy9ttvn3Y7H374IUFBQaxevZrMzEy6dOlCnz59AFi1ahWbNm0iLCyML7/8knr16jF//nwAUlJSyMrK4qGHHmLevHnUqlWLWbNm8dRTT/HRRx8RFBTE+vXriYyM5OOPP+bOO+/88wdNRETkPElITaB2ZfV+S8mhBLwEqVatGnfccQdTpkyhUqU/vqUvWrSILVu2uF8fPXqUY8eO0a1bN5YuXUqjRo0YPnw47733Hvv37yc4OJjAwNPfcWvhwoVs2LCB2bNnA67Eevv27VSsWJFOnToRFhYGuHrYR40axZgxY7j66qvp1q0bmzZtYtOmTfTu3Rtw9abXrVsXgLvvvpuPP/6Yl19+mVmzZrFq1arzfoxERETOVUKaEnApWZSA53M2PdVF6ZFHHqF9+/bcdddd7rLc3FxWrFiRJykHuOyyy3jzzTfZu3cvzz//PHPnzmX27Nl069at0G1Ya3n99dfp27dvnvIlS5ZQpcof8502b96cNWvWsGDBAsaOHUufPn0YMGAAbdq0YcWKFae0e+ONN/Lss8/Sq1cvOnToQM2aNf/MIRARETmvEtISaBPSxtthiLhpDHgJExwczM0338yHH37oLuvTpw9vvPGG+/X69esBaNCgAUlJSWzfvp0mTZrQtWtXJk+efMYEvG/fvrz99ttkZWUBsG3bNlJTU0+pd+DAASpXrsxtt93GqFGjWLt2LTO8DvMAACAASURBVC1atCAxMdGdgGdlZbF582YAAgIC6Nu3L8OHD8/zBUJERMRbMnMyOZJxhDqV63g7FBE3JeAl0MiRI/PMhjJlyhSio6OJiIigdevWvPPOO+5lnTt3pnnz5gB069aN/fv307Vr11PazM7Oxt/fH3ANFWndujXt27enbdu23HvvvWRnZ5+yzsaNG+nUqRORkZE8//zzPP3001SsWJHZs2czZswY2rVrR2RkJD///LN7ncGDB2OMcY8pFxER8aZDqYcAzYAiJYux1no7hmLVsWNHGx0dnacsJiaGVq1aeSmi4jFv3jymT5/O559/XqTbmTx5MikpKTz33HNFup3TKQ/nUkREzt7q+NUM/XYo7/V+j0vqXeLtcKQcMcassdZ2LGiZxoCXA+PGjWPevHlMnTq1SLczYMAAdu7cyQ8//FCk2xERETlbmgNcSiIl4OXAxIkTmThxYpFvZ+7cuUW+DRERkXORkOpKwDUGXEoSjQEXERGRMis+NZ6qFatS2a+yt0MRcVMCLiIiImWW5gCXkkgJuIiIiJRZCWkJGv8tJY4ScBERESmzElITNP5bSpwiS8CNMR8ZYw4ZYzYVsGyUMcYaY0Kc18YYM8UYs8MYs8EY096j7hBjzHbnMcSjvIMxZqOzzhRjjCmqfSkOxhhuv/129+vs7Gxq1arF1VdffV7aX7JkyXlra+rUqTz44IPnpS0REZGiciLnBIczDqsHXEqcouwBnwr0y19ojGkA9Ab2ehT3B5o5j2HA207dYGA80BnoBIw3xtRw1nnbqXtyvVO2VZpUqVKFTZs2kZ6eDsB3331H/fr1z6mNgm6mIyIiUl4dSnPdhEc94FLSFFkCbq1dChwpYNErwGjA8w5A1wHTrMtKoLoxpi7QF/jOWnvEWvs78B3Qz1lWzVq7wrruJDQNuL6o9qW49O/fn/nz5wMwY8YMBg4c6F62atUqLr30Ui666CIuvfRSfvvtN8DVG/23v/2Na665hj59+nD77bczb94893qDBw/m66+/zrOdwtq64YYb6NevH82aNWP06NHudT7++GOaN29O9+7dWb58eZEdAxERkfPFPQe4LsKUEqZY5wE3xlwL7LfW/ppvxEh9YJ/H6zinrLDyuALKT7fdYbh6y2nYsGGhMcZPmkRmzNYz7co58W/VkjpPPnnGerfeeisTJ07k6quvZsOGDQwdOpRly5YB0LJlS5YuXYqvry+LFi3iySef5MsvvwRgxYoVbNiwgeDgYH788UdeeeUVrrvuOlJSUvj555/55JNP+Omnn9zbKayt9evXs27dOvz9/WnRogUPPfQQvr6+jB8/njVr1hAUFETPnj256KKLzusxEhEROd/cc4BXUQ+4lCzFloAbYyoDTwF9ClpcQJn9E+UFsta+B7wHrlvRnzFYL4mIiCA2NpYZM2Zw5ZVX5lmWkpLCkCFD2L59O8YYsrKy3Mt69+5NcHAwAN27d+eBBx7g0KFDzJkzhxtvvBFfX9+zbuvyyy8nKCgIgNatW7Nnzx6SkpLo0aMHtWrVAuCWW25h27ZtRXIMREREzpf4tHhAd8GUkqc4e8CbAmHAyd7vUGCtMaYTrh7sBh51Q4EDTnmPfOVLnPLQAur/ZWfTU12Urr32WkaNGsWSJUs4fPiwu/yZZ56hZ8+ezJ07l9jYWHr06OFeVqVKlTxt3H777UyfPp2ZM2fy0UcfnbKNwtry9/d3P/fx8XGPKy/l17iKiEg5lJCaQKBfIFX8qpy5skgxKrZpCK21G621F1hrG1trG+NKottba+OBr4E7nNlQLgZSrLUHgW+BPsaYGs7Fl32Ab51lx4wxFzuzn9wBzCtww6XM0KFDGTduHOHh4XnKU1JS3BdlTp06tdA27rzzTl599VUA2rRpc8ryc2kLoHPnzu4vBFlZWXzxxRdnsSciIiLepZvwSElVlNMQzgBWAC2MMXHGmL8XUn0BsAvYAbwP3A9grT0CPAesdh4TnTKA4cAHzjo7gf8riv0obqGhoYwYMeKU8tGjRzN27Fi6dOlCTk5OoW3Url2bVq1acddddxW4/FzaAqhbty4TJkzgkksu4YorrqB9+/ZnXEdERMTbElITNP5bSiTjmkSk/OjYsaONjo7OUxYTE0OrVq28FNH5l5aWRnh4OGvXrnWP5y4vytq5FBGRP6/X573oFtqNZy991tuhSDlkjFljre1Y0DLdCbOMWbRoES1btuShhx4qd8m3iIjISVk5WSSlJ2kIipRIxToNoRS9K664gr179565ooiISBmWmJ6IxSoBlxJJPeAiIiJS5py8CY/GgEtJpARcREREypyTN+FRD7iURErARUREpMyJT9VNeKTkUgIuIiIiZU5CWgKVfSsT6Bfo7VBETqEEvIQwxjBy5Ej368mTJzNhwoTz1n5sbCxt27bNUzZhwgQmT5583rZxtgrb7qWXXlrM0YiISFmUkOaaA1x3cpaSSAl4CeHv78+cOXNISkrydihe9fPPP59SdjY3CxIREfGUkKq7YErJpQS8hPD19WXYsGG88sorpyxLTEzkxhtvJCoqiqioKJYvXw5AeHg4ycnJWGupWbMm06ZNA+D2229n0aJF57T9999/n6ioKNq1a8eNN95IWloa4Lqt/fDhw+nZsydNmjThxx9/ZOjQobRq1Yo777zTvX5gYCAjR46kffv2XH755SQmJgIwZcoUWrduTUREBLfeequ7/pYtW+jRowdNmjRhypQpedoBWLJkCT179mTQoEGEh4cD8Omnn9KpUyciIyO59957lZiLiMhpxafGa/y3lFiaBzyfZZ9vI2nf8fPaZkiDQLrd3PyM9R544AEiIiIYPXp0nvIRI0bw6KOP0rVrV/bu3Uvfvn2JiYmhS5cuLF++nEaNGtGkSROWLVvGHXfcwcqVK3n77bdPaX/nzp1ERka6X8fHxzNq1CgAbrjhBu655x4Ann76aT788EMeeughAH7//Xd++OEHvv76a6655hqWL1/OBx98QFRUFOvXrycyMpLU1FTat2/Pv//9byZOnMizzz7LG2+8wYsvvsju3bvx9/cnOTnZve2tW7eyePFijh07RosWLRg+fDh+fn554l21ahWbNm0iLCyMmJgYZs2axfLly/Hz8+P+++9n+vTp3HHHHWd5FkREpLzIys0iMT1RPeBSYikBL0GqVavGHXfcwZQpU6hUqZK7fNGiRWzZssX9+ujRoxw7doxu3bqxdOlSGjVqxPDhw3nvvffYv38/wcHB7p5kT02bNmX9+vXu155jzDdt2sTTTz9NcnIyx48fp2/fvu5l11xzDcYYwsPDqV27trtHuk2bNsTGxhIZGUmFChW45ZZbALjtttu44YYbAIiIiGDw4MFcf/31XH/99e42r7rqKvz9/fH39+eCCy4gISGB0NDQPPF26tSJsLAwAL7//nvWrFlDVFQUAOnp6VxwwQXndoBFRKRcOJx+GIvVHOBSYikBz+dseqqL0iOPPEL79u2566673GW5ubmsWLEiT1IOcNlll/Hmm2+yd+9enn/+eebOncvs2bPp1q3bOW/3zjvv5KuvvqJdu3ZMnTqVJUuWuJf5+/sDUKFCBffzk6+zs7MLbO/kRS/z589n6dKlfP311zz33HNs3rw5T5sAPj4+BbZTpUoV93NrLUOGDOGFF144530TEZHyxT0FoXrApYTSGPASJjg4mJtvvpkPP/zQXdanTx/eeOMN9+uTvdgNGjQgKSmJ7du306RJE7p27crkyZP/VAJ+7Ngx6tatS1ZWFtOnTz/n9XNzc5k9ezYAn332GV27diU3N5d9+/bRs2dPXnrpJXfv+p9x+eWXM3v2bA4dOgTAkSNH2LNnz59qS0REyrb4NM0BLiWbEvASaOTIkXlmQ5kyZQrR0dFERETQunVr3nnnHfeyzp0707y5q9e+W7du7N+/n65du57zNp977jk6d+5M7969admy5TmvX6VKFTZv3kyHDh344YcfGDduHDk5Odx2222Eh4dz0UUX8eijj1K9evVzbhugdevW/OMf/6BPnz5ERETQu3dvDh48+KfaEhGRsk13wZSSzlhrvR1DserYsaONjo7OUxYTE0OrVq28FFHZEBgY+Kd7t88nnUsRkfIt1+by3MrnmL9rPr8M+kXzgIvXGGPWWGs7FrRMY8BFRESk1LLWsvvoblYdXMWq+FWsjl9NcmYyLYNbKvmWEksJuJwXJaH3W0REyoe4Y3Gsincl3KsOriIx3XXviTpV6tA9tDud63amS/0uXo5S5PSUgIuIiEiJYq0lPTudlMwUDmccZmfyTrb9vo3tv29n2+/bOJxxGIDggGA61+lMp7qd6FynM6FVQ9XrLaWCEnCHtVYf2lKuvF3PICJSWmXmZLI7ZTe7kndxMPUgCWkJxKfGE58az+H0wyRnJnMi90Sedfx9/GkS1ISu9bvSqmYrOtfpTNPqTfW3W0olJeBAQEAAhw8fpmbNmvogl1LWWg4fPkxAQIC3QxEREUdWThaxR2PZmbyT7cnb2Zm8k53JO9l7bC+5Ntddr2rFqtSuXJvaVWrTIrgFNfxrEOQfRHX/6tQIqEFYUBgNqzbEp4KPF/dG5PxRAg6EhoYSFxdHYmKit0ORvyAgIOCUu2mKiEjxyM7NZkfyDjYkbmBD4gY2JW1iz9E9ZFvXjdZ8jA8NqjbgwuoX0i+sH02rN6VpUFPqBdajil+VM7QuUrYoAQf8/PzctzwXERGRs2OtZcXBFczcOpOVB1eSnp0OuMZmtw1pS6+GvWhavSkXVr+QxkGN8ffxP0OLIuWDEnARERE5J6lZqXy982tmbJ3B7pTdBAcEc/2F1xNZK5LwWuGEBupiSJHCKAEXERGRQmXlZhFzOIbohGii46OJTogmPTudtjXbMqnrJPo27ktFn4reDlOk1FACLiIiIm45uTnEHo0l5kgMWw9vZeuRrWxM2khadhoAYUFhXNv0Wq5reh3htcK9HK1I6aQEXERERMjJzWF6zHTe+vUtUrNSAahYoSLNajTjmqbX0LFORzrW7khIpRAvRypS+ikBFxERKediU2IZ9/M41h1aR7f63egX1o+WwS0JCwrDr4Kft8MTKXOUgIuIiJRTJ3u9p6ybQkWfikzqOomrm1ytCyhFipgScBERkXIi1+YSmxLL2kNrWXdoHWsS1rD/+H56hPZg3CXjqFW5lrdDFCkXlICLiIiUYVk5Waw8uJKFexayZN8SkjOTAddc3ZG1IhnRfgT9GvdTr7dIMVICLiIiUsbk5Obwy8Ff+L/Y/+OHvT9w9MRRAv0C6dGgB53qdOKiCy6iUbVGSrpFvEQJuIiISBmxK2UXX+/4mv/u+i+H0g4R6BdIzwY96dO4D5fWu1RzdYuUEErARURESrGs3Cy+2f0NM7fOZEPSBnyMD13rd2VM1Bh6NOihpFukBFICLiIiUgodPXGU2dtmMz1mOofSDhEWFMaojqO4qslVmqtbpIRTAi4iIlIKpGal8tuR34g5EsOWw1tYtGcRadlpdKrTifGXjKdr/a5UMBW8HaaInAUl4CIiIiWQtZbffv+NBbsWsHjfYvYc3YPFAq4ZTHo17MUdre+gVc1WXo5URM5VkSXgxpiPgKuBQ9batk7Zv4BrgBPATuAua22ys2ws8HcgB3jYWvutU94PeA3wAT6w1r7olIcBM4FgYC1wu7X2RFHtj4iISHHYe3Qv38R+w4JdC9iZshNf40vnep25qslVtApuRauarahVqZZmMBEpxYy1tmgaNuYy4DgwzSMB7wP8YK3NNsb8E8BaO8YY0xqYAXQC6gGLgOZOU9uA3kAcsBoYaK3dYoz5HJhjrZ1pjHkH+NVa+/aZ4urYsaONjo4+r/sqIiLyZ2XmZLImfg3L9i9j2f5l7Dm6B4D2F7TnqiZX0btRb2oE1PBylCJyrowxa6y1HQtaVmQ94NbapcaYxvnKFnq8XAnc5Dy/Dphprc0EdhtjduBKxgF2WGt3ARhjZgLXGWNigF7AIKfOJ8AE4IwJuIiIiLdZa/k18Vdmb5vNwj0LSc9Ox9/Hn6g6UQxsOZCeDXpSL7Cet8MUkSLizTHgQ4FZzvP6uBLyk+KcMoB9+co7AzWBZGttdgH1RURESqSjJ47y353/Zfa22exI3kFl38pcGXYlvRr2IqpOFJV8K3k7RBEpBl5JwI0xTwHZwPSTRQVUs0BBl3PbQuqfbnvDgGEADRs2PKdYRURE/qr9x/fzny3/Yc72OaRnp9OmZhsmXDKB/mH9qexX2dvhiUgxK/YE3BgzBNfFmZfbPwagxwENPKqFAgec5wWVJwHVjTG+Ti+4Z/1TWGvfA94D1xjw87EfIiIiZ7L58GambprKwj0LqUAFrmxyJYNbDaZ1zdbeDk1EvKhYE3BnRpMxQHdrbZrHoq+Bz4wxL+O6CLMZsApXT3czZ8aT/cCtwCBrrTXGLMY1hnwmMASYV3x7IiIicnq7knfxytpXWLJvCYF+gQxpPYRBrQZRp0odb4cmIiVAUU5DOAPoAYQYY+KA8cBYwB/4zpk+aaW19j5r7WZnVpMtuIamPGCtzXHaeRD4Ftc0hB9Zazc7mxgDzDTG/ANYB3xYVPsiIiJyNpLSk3hr/VvM2T6HAN8AHr7oYQa2HEhgxUBvhyYiJUiRTUNYUmkaQhEROZ+OnTjGukPrWHlwJbO3zSYrJ4ubW9zMve3uJTgg2NvhiYiXeGUaQhERkbIkMyeTA8cPsP/4fg4cP8CulF2sTVjLb7//Rq7NxbeCLz0b9GRE+xE0qtbI2+GKSAmmBFxERKQA1lo2JW3iu73fsXjvYmKPxuZZHuATQEStCO6NuJeOtTsSXitc0wiKyFlRAi4iIuJhz9E9zNw6k+/2fEdCWoLrVvB1XbeCrx9Y3/2oVbkWFUxBs+WKiBROCbiIiAhw8PhB3tnwDvN2zMPH+HBp/Ut5uP3DdA/tTpB/kLfDE5EyRAm4iIiUa0npSby/4X2+2PYFALe2vJW7w+8mpFKIlyMTkbJKCbiIiJRL2bnZzNw6k9fXvU5mTibXX3g990bcS93Aut4OTUTKOCXgIiJS7mxI3MBzK59j65GtdKnfhSeinqBxUGNvhyUi5YQScBERKTcOHj/Ih5s+5PPfPqdWpVpM7j6ZPo364NwcTkSkWCgBFxGRMi0lM4VvY79lwe4FrElYQwVTgcGtBvNA5AO6Q6WIeIUScBERKZOSM5J5YdULLNyzkOzcbMKCwngw8kGubHIlDao28HZ4IlKOKQEXEZEyZ3X8ap5Y9gS/Z/zOwJYDuabJNbQMbqmhJiJSIigBFxGRMiM7N5v3NrzHuxvepUHVBrxx5Ru0qtnK22GJiOShBFxEREq9oyeOsv7Qej7a9BFrEtZwbdNrebLzk1Txq+Lt0ERETqEEXERESrzMnEx2JO8gLSuN9Ox00rLSSM1KZeuRraw9tJbtv2/HYqniV4VJXSdxTdNrvB2yiMhpKQEXEZESac/RPfy0/yd+2v8T0fHRZORknFKnsm9l2tVqR+/I3nSo3YG2IW2p5FvJC9GKiJw9JeAiIlJiZOdm83+7/4+PNn3EjuQdADSq1ogbm99Ih9odCKoYRGW/ylTyrURl38rUqlwL3wr6UyYipYv+1xIREa/Lysniv7v+ywcbP2DfsX00r9GcJzs/Sdd6XWlQTVMGikjZogRcRES86vu93/PSqpc4kHqA1jVb81rP1+jRoAcVTAVvhyYiUiSUgIuIiFekZqXyz1X/ZO6OubSo0YI3L36TbvW7aa5uESnzlICLiEixW39oPWOXjeVA6gHuCb+H4e2G4+fj5+2wRESKhRJwEREpNkdPHOWjjR/x8eaPqVulLh/3/Zj2tdt7OywRkWKlBFxERIpcckYy/4n5D5/FfMbxrONc2/RaxnYaS2DFQG+HJiJS7JSAi4hIkTnZ4z1j6wzSstPo3ag3wyKG0TK4pbdDExHxGiXgIiJSJHYl7+LhxQ+z9+he+jXuxz0R99CsRjNvhyUi4nVKwEVE5LxbGreUMUvHUNGnIlP7TdU4bxERD0rARUTkvLHW8tGmj3ht7Wu0DG7Jaz1fo25gXW+HJSJSoigBFxGR8yItK41nVzzLgt0L6Ne4HxO7TKSSbyVvhyUiUuIoARcRkb9s2+/bGPXjKGJTYnn4ooe5O/xu3VBHROQ0lICLiMifZq1lzvY5vLDqBapWrMoHfT6gU91O3g5LRKREUwIuIiJ/SnJGMi+seoEFuxdwcd2LeaHbC4RUCvF2WCIiJZ4ScBEROWs5uTn8cvAX5u6Yy/d7vyfH5vBg5IPcHX43PhV8vB2eiEipoARcRETO6OiJo0yPmc6c7XOIT40nyD+Im1vczI3NbtTc3iIi50gJuIiInFZqViqfbvmUTzZ/wrGsY3Sp14VRHUfRs0FPKvpU9HZ4IiKlkhJwERE5RUZ2BjO3zuTDTR+SnJlMzwY9eSDyAVoEt/B2aCIipZ4ScBERcbPW8k3sN7y85mXiU+PpUq8LD0Q+QHitcG+HJiJSZigBFxERADYmbuSfq//Jr4m/0iq4FZO6TiKqTpS3wxIRKXOUgIuIlHMnck7w3Mrn+GrHV9QMqMnESydybdNrNauJiEgRqVBUDRtjPjLGHDLGbPIoCzbGfGeM2e78W8MpN8aYKcaYHcaYDcaY9h7rDHHqbzfGDPEo72CM2eisM8XolmsiIucsKyeLkT+O5KsdX3FX27uYf8N8BjQboORbRKQIFVkCDkwF+uUrewL43lrbDPjeeQ3QH2jmPIYBb4MrYQfGA52BTsD4k0m7U2eYx3r5tyUiIoXIys1i9NLRLNm3hCc7P8ljHR6jil8Vb4clIlLmFVkCbq1dChzJV3wd8Inz/BPgeo/yadZlJVDdGFMX6At8Z609Yq39HfgO6Ocsq2atXWGttcA0j7ZEROQMsnOzGbtsLIv2LmJM1BgGthzo7ZBERMqNouwBL0hta+1BAOffC5zy+sA+j3pxTllh5XEFlBfIGDPMGBNtjIlOTEz8yzshIlKa5eTm8NRPT/Ft7LeM7DCS21rf5u2QRETKleJOwE+noPHb9k+UF8ha+561tqO1tmOtWrX+ZIgiIqWftZZJv0xiwe4FjGg/gjvb3untkEREyp3iTsATnOEjOP8ecsrjgAYe9UKBA2coDy2gXERECjFtyzQ+3/Y5Q9sO5e7wu70djohIuVTcCfjXwMmZTIYA8zzK73BmQ7kYSHGGqHwL9DHG1HAuvuwDfOssO2aMudiZ/eQOj7ZERKQA3+/9nn9H/5vejXozov0Ib4cjIlJuFdk84MaYGUAPIMQYE4drNpMXgc+NMX8H9gJ/c6ovAK4EdgBpwF0A1tojxpjngNVOvYnW2pMXdg7HNdNKJeD/nIeIiBRg8+HNjF02lrYhbZnUdRIVTEkZgSgiUv4Y1yQi5UfHjh1tdHS0t8MQESk28anxDJo/CL8Kfky/ajohlUK8HZKISJlnjFljre1Y0DLdCVNEpAw7knGE+7+/n/TsdN7t/66SbxGREkAJuIhIGXXw+EGGfTeMg6kHmdJrCs1qNPN2SCIighJwEZEyaVfKLoYtHEZqVirv9n6XDrU7eDskERFxKAEXESljNidtZvii4VQwFfi438e0DG7p7ZBERMSDLoMXESlDVsevZui3Q6nsV5lp/acp+RYRKYGUgIuIlBHL9y9n+KLh1K1Sl0/6fULDag29HZKIiBRACbiISBnww94feOiHhwgLCuPjfh9Tu0ptb4ckIiKnoQRcRKSU+yb2G0YuGUmr4FZ80OcDagTU8HZIIiJSCCXgIiKllLWWudvnMmbpGCJqRfBu73cJ8g/ydlgiInIGmgVFRKSUSc9OZ/6u+czYOoNtv2/j4roX81rP16jsV9nboYmIyFlQAi4iUkokpiUybcs05myfw9ETR2leoznjLxnPtU2vpaJPRW+HJyIiZ0kJuIhIKbBozyImrJjA8RPHubzh5QxsOZAOtTtgjPF2aCIico6UgIuIlGBpWWm8uOpF5u6YS5uabXih2wuEBYV5OywREfkLlICLiJRQGxI38MSyJ4g7Fsc94fcwPHI4fhX8vB2WiIj8RUrARURKGGstn8Z8yr+j/03tyrX5uN/HdKjdwdthiYjIeaIEXESkBEnLSmP8z+P5JvYbLm94Oc91eY6qFat6OywRETmPlICLiJQQu1J28ejiR4k9GsujHR7lrjZ36SJLEZEySAm4iEgJ8N2e73j6p6cJ8A3gvd7v0bluZ2+HJCIiRUQJuIiIF2XnZjNl7RQ+3vwxESER/LvHv6lTpY63wxIRkSKkBFxExEuS0pMYvXQ0q+NXc0uLWxgdNVo31BERKQeUgIuIeMH6Q+sZuWQkR0/8P3v3HR9Vlfdx/HOmZGbSGwkkIdTQEZBQREHsbe2L6CprWXXXdV3bWnDdx11XfdZd+2NldVfEgmVRsWLFCkjvBEKAJKSSXqbf8/xxJxQXNZTkpvzer9e87sydO3d+Q0m+OTn3d+q575j7OHPAmVaXJIQQop1IABdCiHa2tnItVyy4gvTodF48/UUGJw+2uiQhhBDtSAK4EEK0o1pfLTd/cTNp0Wm8csYrJLoTrS5JCCFEO5MALoQQ7cTQBrd/fTu7vLuYc/ocCd9CCNFN2awuQAghuotZa2bxzc5vuH387QxPGW51OUIIISwiAVwIIdrBopJFPLnqSc7sfybTBk2zuhwhhBAWkgAuhBBtrKypjNu+vI0BiQO4c+KdsrqlEEJ0cxLAhRCiDWmtufObO/GH/Tw09SGindFWlySEEMJirboIUyn1d+AewAt8CIwCbtBav9iGtQkhRKf3Zv6bLCldwl1H3UW/hH5WlyOEEJ2XYUCwCQLNEGiEQBME97ofaAZ/AzRXQfMuaNpl3h9wHEy+2erq99HaLigna61vVUqdCxQD04DPAQngQgjxAyqaK3hg6QOM7zme83POt7ocIYToGBY9AQvugVg7OgAAIABJREFUMO/bo8AVD+4EiEmF6FSISQGbE9DmMVpD0RKo2NDKN1DgSYLoFPOcHXCF4dYGcGdkezrwita6WuYwCiHED9Na89fFfyVoBLnrqLtk3rcQouvTGhorzNFnXz346sBfb96CXgj6zBHrrx/a85pwwDy+eRdUb/3vc8b0MLfe2v2/55GXwphLwBkNUTHgigN3Itg7dqft1lb3jlJqE+YUlN8qpXoAvrYrSwghOrcFOxawsGghf8j9A9nx2VaXI4QQplAAvNXmVA1tmDcjvOe+Nswgvft+eN/jgl5zyoe/wdw2V0H1NqguMLfBph9/f5vDHPF2uAFtBvBwEEI+8z32ds23kN41W7a2KoBrrW9XSt0P1Gutw0qpJuDsti1NCCE6pxpfDf+75H8ZkTKCi4debHU5Qoju7qljoHxt25zb5oSkvpDcH/pOhuR+EJtmTilxJ4ArwRyVdnrMm935k6fsDg5kfH4o0FcptfdrXjjM9QghRKf396V/pz5Qz7MnP4vD1rF/DSqE6AKMMHhroLnaHJH215sjyiG/uT2U8D3jLbDZQdkAZYZoVxxExYIrFpwxYJOmegeqtV1Q5gADgFVAOLJbIwFcCCH2sahkEe8WvMtvRv2GnKQcq8sRQnRWumV6RsCcNhIOQNlaePlQF/KKhGiHy5wG4nCBw2NODWmugoaSPYeOvdzsICIOu9YOzeQCw7TWui2LEUKIzixoBPnbd38jKzaLK0deaXU5QoiO7MXzIf+Tw3OulIEw/mrwJEN0knkRosO9n6DtNoO2XBRuudYG8HVAT6D0cLypUupG4ErMUfS1wOVAL2AukAysAGZorQNKKRfmSPtYoAqYrrXeHjnPTOBXmKPyv9daLzgc9QkhxMF4eePLFNQV8Pjxj+Oyu6wuRwjRlsIhc6qHt8bs9uGrjWzrzI4dLfdb9vsbzekg4YA5NWR/HT/2J3sSDD/HbKVnjzKDtLLtuRgyKhZGXSTTQDqZHw3gSql3MENyHLBBKfUd4G95Xmt91oG+oVIqE/g95oi6Vyn1GnAhZovDh7XWc5VST2MG66ci2xqt9UCl1IXA/cB0pdSwyOuGAxnAJ0qpQVrr8H7eVggh2lRlcyVPrX6KKVlTOLb3sVaXI4Q4HAwDdnxj9p+uzINdm2HXFjNUh36iGZzNsedCRHeiOV/aHb8nRGdP3HPf5gAjFJmz7YdwZBufCSfdDU53+3xe0W5+agT8gTZ8X49SKghEY46sHw/8IvL8bODPmAH87Mh9gDeAx5XZUPdsYK7W2g9sU0rlA+OBRW1UsxBC/KCHlz9MIBzgtnG3WV2KEKI1tDZXSqwuiNy2Qs0OCHnN0W0jBPkfH/z5r1gAWbmHr17RpfxoANdafwGglLpfa73Pd5VIW8IvDvQNtdY7lVIPAIWYfcU/ApYDtVrrUOSwYiAzcj8TKIq8NqSUqgNSIvsX73XqvV8jhBDtZmXFSt4peIerRl4lPb+F6Ki0hpptsP1r2PaVud37gkNlg4Qsc0qHzW6OSidkQ13hgb9XQrbZmk+IH9DaOeAnAd8f1jltP/t+klIqCXP0uh9QC7weOdf3tVzwub8rBfSP7N/fe14NXA2QnS3fHIUQh0/YCHPfkvtIj06XCy+F6AiMMJSvg7J1UFu451a9FRoil7LFpEHfYyBrnHkBY3J/SMwGR8dbslx0TT81B/wa4LdAf6XUmr2eigO+Pcj3PBHYprWujLzHPGASkKiUckRGwbOAlh9Li4HeQHGkB3kCUL3X/hZ7v2YfWutZwCyA3Nxc6eQihDgkgXCALbVb2Fi1kUUli9hUvYkHjn2AaGe01aUJ0X1obV4E2bQLGsqg+DvY8S0ULjb3A6AgPsMM1/2ONaeE9JsCqYOkE4iw1E+NgL8MfAD8L3D7XvsbtNbVB/mehcBEpVQ05hSUE4BlwOfAzzE7oVwKvB05fn7k8aLI859prbVSaj7wslLqIcyLMHOA7w6yJiGE+Ekrylfw0PKHWF+1npBhzpiLc8ZxwaALOLnPyRZXJ0QX4m+Aqq1QlW8ub95UYQbt5irz1nLfCO77utTBMOJ86HM0ZIyBxN7mRY5CdDA/NQe8DqgDLgJQSqUBbiBWKRWrtT7giVFa6yVKqTcwWw2GgJWYo9PvAXOVUvdE9j0XeclzwJzIRZbVmJ1P0Fqvj3RQ2RA5z7XSAUUI0Raagk08svwR5ubNJSMmg0uHXcrQlKEMSxlGVmwWSkbShDhwIT/UbDdD9u5bJHQ3lu97rDsBolMgOtUczc4Ybd6PSTX3x/SAXqMhtoclH0WIA6Vas7aOUupMoGWkuQLoA2zUWg9v2/IOv9zcXL1s2TKryxBCdBLf7PyGvyz6C2VNZVw89GKuG3OdTDUR4kD4G6Bio7mK467Ne8J2bSFoY89x0anmfOyUgZAyYM/95H7mgjJCdDJKqeVa6/22wmntRZj3ABOBT7TWY5RSxxEZFRdCiK5Ia82Dyx5k9obZ9EvoxwunvcDotNFWlyVEx+dvgE3vQ957ULrG7DzSIirWDNeZY+GI6XvCdvIA8CRaV7MQ7ay1ATyota5SStmUUjat9eeRNoRCCNHlaK15aPlDzN4wm+mDp3PLuFtkZUshfojW5kqP27+GdW9A3odmL+24DOg9DkZfDOnDoecISOgtFz8KQesDeK1SKhb4CnhJKVWBOe9aCCG6nMdXPc7z659n+uDp/HHCH2WOt+jeGiugchPU7YS6YqgrgvqSPRdGNlWay6uDOR97zMUw4ufQe4Isjy7ED2htAD8bs2PJDcDFmK0A726rooQQwirPrH6GWWtmcV7Oedwx4Q4J36J70dqcm124yFyCfce35nztvcX0MFv7xaZD+gjzQsiYNEgbYrb6szutqV2ITqRVAVxr3aSU6gPkaK1nR1oI2tu2NCGEaF/Pr3uex1c9zpn9z+R/Jv4PNiWjd6IL09pcgr1kJZSuhrI15pxtb6TLsDsBsifBkZdCryPM6SPxmeB0W1u3EF1AqwK4UuoqzJUkk4EBmEu+P43Zw1sIITq9b3d+y4PLH+SUvqdw99F3Y7fJGIPoYoI+KF8PRYvNEe7CJeY0EgB7FKQNhSFnQK9RkH0UpA2TKSRCtJHWTkG5FhgPLAHQWm+J9AQXQohOrznYzN2L76ZvfF/uPeZeHLbWfmkUooMK+c2R7Z0r9oxsV26CluUyEvvAgOMhewJk5kKPIbIMuxDtqLXfZfxa60DLXMjIkvCypLsQokt4ctWT7GzcyfOnPi/dTkTn5Ks352y3jGyXrNhzYWRsOvQ8Agafao5uZ42H+F7W1itEN9faAP6FUuoOwKOUOgn4LfBO25UlhBDtY/2u9czZOIdpg6YxNn2s1eUI0TqGAaWrYOunkP8ZFH8HRghsTnMJ9gm/NqeRZOZCXLrV1Qohvqe1Afx24FfAWuDXwPvAs21VlBBCtIegEeSub+8ixZ3CjWNvtLocIfbPV2d2IilbZ64mWb7OvB9oMJ/vNQom/d6cUpKVK6tGCtEJtLYLiqGUegt4S2td2cY1CSFEu3hh/Qvk1eTxyNRHiIuKs7oc0d0ZBpSthq2fmxdL1myD6m17upIARMWZC9qMvgiyxkH/4yC2h3U1CyEOyo8GcGVO+r4L+B2gIrvCwP9praUPuBCi0yqsL+Sp1U9xQvYJnNBHGjoJCwR9sGtzZCrJ51CwcE/YTsyG5P4w7GxI7mfeTx8OiX2lM4kQXcBPjYDfABwNjNNabwNQSvUHnlJK3ai1fritCxRCiLbw4LIHcdqc3DHhDqtLEd1ByG92JNnxjdlzu2IjVG8FbZjPx6bDoFPMaST9p0KsNBoToiv7qQD+S+AkrfWulh1a6wKl1CXAR4AEcCFEp1NUX8TnRZ9z5cgrSYuWoCPagNbmNJK892H7V1D0HYR85nPJ/c0e28PPNXtvp4+A1ByQVVeF6DZ+KoA79w7fLbTWlUopWWtWCNEpvZL3CnZlZ/rg6VaXIrqaik2wfh6smwdVWwBlztkeezn0PQb6TILoZKurFEJY7KcCeOAgnxNCiA6pKdjEm1ve5KQ+J5EeI+3ZxCFqrDBHuLd/Ddu+NLuVoMywPfEaGHqWXCQphPgvPxXARyml6vezXwHuNqhHCCHa1Nv5b9MYbOTiYRdbXYrozLZ9Be/fApUbzcdRcdDnKBh/tXnhZFxPa+sTQnRoPxrAtdb29ipECCHamqENXt70MiNTRzKqxyiryxGd1eaP4LUZkJAFJ/4F+k42e3HbW7u0hhCiu5OvFkKIbuPrnV+zo34Hf5v8N6tLEZ3VhrfhjV+ZLQFnvCnzuYUQB0WaiQohuo2XNr5ED08PTu5zstWliM5o1Svw+mWQeSRcOl/CtxDioEkAF0J0CwW1BXxb8i3TB0/HaZcmTuIA+Bvh64fhrd+Y001mvAnuBKurEkJ0YjIFRQjRLby08SWibFFMGzzN6lJEZ6A1lKyEFbNh7RsQaITBp8PP/w1O6UEghDg0EsCFEF1eja+Gdwre4fT+p5PslmkD4gcEfVD8ndlSMO99KFsLDg+MOA+O/CX0niCL5QghDgsJ4EKILu/RFY8SCAe4bPhlVpciOpqGMlj9Cmz5BIqXQtgPygYZR8IZD8LIaTLdRAhx2EkAF0J0aWsq1zBvyzxmDJvBgMQBVpcjOoJwCPI/MaeXbF4AOmy2ERx/FfSbAtkTJXQLIdqUBHAhRJcVNsLcu+ReUj2pXDPqGqvLEVbz1cGyf8GSWdBQAjFpcPTvYcwMSJEfzoQQ7UcCuBCiy/rPlv+woWoD90++n9ioWKvLEVZpKIclT8HS58BfD/2nwul/h0GngnTEEUJYQAK4EKJLqvZV8+iKRxnfczyn9TvN6nJEe9MaipfByjmwei6EAzD8HDj6BsgYbXV1QohuTgK4EKJLenTFozQHm7ljwh0o6VzRfdTthDVzzUVzqraYXUxGXQhHXy/TTIQQHYYEcCFEl7OqYhXztszj8uGXy4WXXZ1hQOkq86LKLR+Zo95oyJ5khu5hZ4M73uoqhRBiHxLAhRBditaaB5Y9QJonjV+P+rXV5YjDLRyCivVQ9J15K/gcmioBZS4RP3UmHDENkvtbXakQQvwgCeBCiC5lUckiVleu5k8T/0SMM8bqcsThUFcM6980WwbuXA7BZnN/bDr0OxZyToaBJ0BMqrV1CiFEK0kAF0J0GVprnlr9FOnR6Zwz8ByryxGHorESNrwF6/4DhYvMfekjzZaBvcdD1jhIzJaVKYUQnZIEcCFEl7GodBGrKldx54Q7ibJHWV2OOFDhIGz5GFa+CJs/NBfISRsGx98Jw8+TiyiFEF2GBHAhRJegtebp1U+THp3OuTnnWl2OOBBVW2H582a7wKYKc4GcSb+DIy6E9GFWVyeEEIedBHAhRJewpGwJKytWcseEO2T0uzMIByHvfXNxnG1fgLKbC+OMuQRyTpIFcoQQXZoEcCFEp6e15qlVT5EWncZ5OedZXY74MXXFsHw2rHgBGssgobc5xWTMDIjraXV1QgjRLiwJ4EqpROBZYASggSuAPOBVoC+wHbhAa12jzBU0HgVOB5qBy7TWKyLnuRS4M3Lae7TWs9vxYwghOojvyr5jRcUKZo6ficvusroc8X2GAVs/g2X/gs0fmKtU5pwEuY+YHUxsdqsrFEKIdmXVCPijwIda658rpaKAaOAO4FOt9d+UUrcDtwO3AacBOZHbBOApYIJSKhm4C8jFDPHLlVLztdY17f9xhBBWael8kuZJ4/xB51tdjtib1rDmNVh4H9Rsh5ge5lLwYy+FpL5WVyeEEJZp9wCulIoHpgCXAWitA0BAKXU2MDVy2GxgIWYAPxt4QWutgcVKqUSlVK/IsR9rrasj5/0YOBV4pb0+ixDCWmsq1/Dw8odZXr6c28ffLqPfHUltIbx7E+R/DBlj4Pg/wdCzwCHz84UQwooR8P5AJfBvpdQoYDlwPZCutS4F0FqXKqXSIsdnAkV7vb44su+H9gshuriCugIeW/EYnxZ+SrI7mZnjZ3LhkAutLkuAOd1k6bPwyZ/Nx6feD+OvkmkmQgixFysCuAM4ErhOa71EKfUo5nSTH7K/VRb0j+z/7xModTVwNUB2dvaBVSuEsIzWmrW71rK1diulTaWUNJaws3EnKypW4La7+e3o3/LLYb+UFS87gkATbHgbvpsFJSthwPHws0cgqY/VlQkhRIdjRQAvBoq11ksij9/ADODlSqlekdHvXkDFXsf33uv1WUBJZP/U7+1fuL831FrPAmYB5Obm7jekCyE6nhc2vMADyx4AQKHoEd2DjJgMZgydweUjLifFk2Jxhd2c1lC8FFbOgXXzINAIyf3hnKdh1IWySqUQQvyAdg/gWusypVSRUmqw1joPOAHYELldCvwtsn078pL5wO+UUnMxL8Ksi4T0BcB9SqmkyHEnAzPb87MIIdrOp4Wf8uCyBzkx+0Ruyr2JntE9cUpvaOtpDSUrYP1b5oh37Q5wRsPwc80e3tlHSfAWQoifYFUXlOuAlyIdUAqAywEb8JpS6ldAITAtcuz7mC0I8zHbEF4OoLWuVkr9FVgaOe7ulgsyhRCd2/pd65n51UxGpI7gvsn34XF4rC5J1BWb00vWzYO6IrA5oP9UmHILDD8HXHFWVyiEEJ2GMpuLdB+5ubl62bJlVpchhPgBpY2l/OL9XxBli+KlM14i1ZNqdUndW8VG+OZRWPu6Ofo98EQzcA8+DTxJP/16IYToppRSy7XWuft7TlbCFEJ0GI2BRq797Fp8IR//PO2fEr6tVLISFv4NNn9oTjEZdyUcdS0kyoXsQghxqCSACyE6BEMb3PbVbRTUFvDkiU8yMGmg1SV1T3U74bO/wupXwJMMU2fC+KshOtnqyoQQosuQAC6E6BCeXfssXxZ/yczxM5mUMcnqcroffyN8+xh88xhoA465EY65CdzxVlcmhBBdjgRwIYTlFpUs4olVT3B6v9O5aMhFVpfTvRhhc7T7079CYxmMOB9OuEv6dwshRBuSAC6EsFRZUxm3fXkb/eL7cddRd6GkhV372fYlLLgDytZC1jiYPgd6j7e6KiGE6PIkgAshLBMMB/nDF3/AH/bz0HEPEe2Mtrqk7qG2ED64HfLeg4TecP5z5si3/PAjhBDtQgK4EMIyDy1/iNWVq3ng2Afon9Df6nK6h8LFMPcXEPKbU00mXgNO6bMuhBDtSQK4EMISn+74lBc3vsglQy/hlL6nWF1O97D6VZj/O3PU+xevQap0mhFCCCtIABdCtLuypjLuWnQXw1OGc9PYm6wup+szDPj8XvjqAeg7GS54QdoKCiGEhSSACyHaVdgI88ev/0ggHOD+KffjtDutLqlrC3rhzd/AhrdgzAw44yFwRFldlRBCdGsSwIUQ7erf6//Nd2Xfcfeku+kTL63u2lRTFcy9CIq+g5P+CpOukwsthRCiA5AALoRoN+t2reOJlU9wSt9TOGfgOVaX07VVb4MXz4e6Ypj2PAyXP28hhOgoJIALIdpFU7CJ2768jR7RPfjTxD9Jv++2VLwcXr4AdBgunQ/ZE62uSAghxF4kgAsh2sWDyx6kuLGYf53yLxJcCVaX07X46qAyDyo3QcVGWPZviE2DS/4DqTlWVyeEEOJ7JIALIdpcYX0h87bM48LBFzI2fazV5XQd+Z/AhzNh1+Y9+xxu6HM0nPu0GcKFEEJ0OBLAhRBtbtaaWThsDq4ceaXVpXQNzdWw4I+w+mVIHWQuqNNjCKQNgcQ+YLNbXaEQQogfIQFcCNGmiuqLeLfgXS4achE9ontYXU7nt+FteO8P0FwFk2+GKbeC0211VUIIIQ6ABHAhRJuatdYc/b5ixBVWl9K5NVfDezfD+nnQcyRc8gb0GmV1VUIIIQ6CBHAhRJspqi/ina3vyOj3odr6Obz1W2iqgOPuhGNuAFnASAghOi0J4EKINvPPtf+U0e9DEfTCJ3+BJU+Zc70vehkyxlhdlRBCiEMkAVwI0SaKGoqYv3W+jH4frNI1MO8qs7Xg+KvhxL9AVLTVVQkhhDgMJIALIdrEP9f8E7uyc/mIy60upXMxwvDt/8Fn90B0itnLe+CJVlclhBDiMJIALoQ47ApqC5i/dT4XDrmQtGjpRd1qtYXw5m9gxzcw9Cw481GITra6KiGEEIeZBHAhxGHVHGzmpoU3ER8VL32/D8TaN+DdG0FrOOcpGHURKGV1VUIIIdqABHAhxGGjtebPi/7MtvptPHPSM6R6Uq0uqeML+mDBTFj2L+g9Ec57BpL6Wl2VEEKINiQBXAhx2MzNm8sH2z7gujHXMbHXRKvL6fiqC+C1S6FsDRx9Axz/J7DLl2UhhOjq5Cu9EOKwWFO5hr8v/TtTsqbI1JPW2DAf3r4WlA0uehUGn2p1RUIIIdqJBHAhxCGr8dVw8xc3kx6dzn3H3IdN2awuqePy1sCHM2H1K5A5FqY9D4nZVlclhBCiHUkAF0Ickm1125j51UyqvFXMOX0OCa4Eq0vquDYvgHeuh8YKmHILTLkVHFFWVyWEEKKdSQAXQhwUQxu8tPElHl3xKC67i38c+w+Gpwy3uqyOyVsLH95ujnqnDYeL5kLGaKurEkKILktrjdZgaI1SCrutY3WVkgAuhDhgRQ1F/OmbP7G8fDlTsqZw11F3Sb/vH+KtgefPhIoNMuothOi0DEOzq9GPNxhGa9CY4dYwNN5gmOZAGG8wjC+ybQ6E8QXDeANhmiNbX9B8zhsIY2j9o++nNfhCYRr9YZr8IZr8IZpbXhcJ1oYGTWS7V+A2vnfqC3Kz+PvPR7XdH85BkAAuhDgg63et5/IFl2NXdu6edDfnDDwHJf2q98/fAC/+HHblwcWvyYqWQnRhhqEJGZqQYRAyzGBqaAgbGq01gbCBNxCmKRCmORImQ4YG9O5A25JJ9T77zJ1a77V/r+c0EAprgmGDQMggsNc22LING/xE3t0vbzBMaa2PkjovZXW+SL0HzmlXuJ12PE470VF23E57q0ak3U47CR4nmYluYqIceKLs2JSK3MylEmxKoZSK3I88BlTkOKVgeEb8QdXdliSACyFazR/2c8fXdxAXFceLp71Ir9heVpfUcQWa4eULoWQlTJ8j4VuINmYYmgZ/iHpvkAZfiAZfkKZAaJ8R1CZ/OLLPfOwLhgmF9wrOYU3Y0AQNTTjyOGRE9oWNyDbynKF3Hx8yjP8adbWa066IsttwOmw47TYOZgZGlMNGrwQPuX2SyEj00CvRQ7TTvlfwNbfRUWa4dkfZd99veexx2nHa5cL875MALoRotcdXPk5BXQHPnPiMhO8fE/LDazPMJeXPfxaGnGF1RUJ0KIahaQ6awbjBZwbixkhobojcb/Sbjxv9YUKR8NsShn3BMA2+EPU+M2zXe4M0BkKtGuV1O23EuhzEuBy4HXYcdoXDbsNhM+cJu5w2om02nJHHDrvCYTOfd9gV9r3um9s9r3XabeZrbOboq92msNnM0Vqn3UZ0lH33SG50lDkKrDCDrFJgjt223G9ZDFft9Vjt3t/yOjDPHeWwmaHbYcNps2HrYHOexb4kgAshWmVF+Qpmr5/NtEHTmJQ5yepyOi5/A7z5G8j/BM76Pxj5c6srEuKAGYamzhukpjlATXOAJn+YkGEQCJkjwcGwOTrcMr0hGDbwBQ2aAiGaI6PMu7eB8O75u80BcxTaGwy3qg6P006My0GUXWG3K+yRUOty2In3OOidHE2820mc20G8x0m827H7cZzbSYzLvjtsx7gcxETZcchorOgAJIALIX5Sc7CZO7+5k4zYDG7OvdnqcjomrWHjO2a3k/oSOPV+OPKXVlclxD5CYYN6X4g6b5B6b5A6b5CyOh87qpvYUdVMYXUzxTVeapoDBzVn2OWwEeNy7B7pjXaZ25SYqD37v/d8rMuxOzDHuhy7H8e6HBKWRZdlWQBXStmBZcBOrfXPlFL9gLlAMrACmKG1DiilXMALwFigCpiutd4eOcdM4FdAGPi91npB+38SIbq+h5c/THFDMc+d8hwxzhiry+l4arbD+7fClgWQPhKmzYbe46yuSnRDvmCYklovxTUtt2Z21u65X9Hg32+wttsUmYke+qREMyIzgdSYKBKjo0iKcZIUHRUZhbZFpjqYUy2cdhuOlnnGdhsuh00CsxCtZOUI+PXARqDl0tT7gYe11nOVUk9jBuunItsarfVApdSFkeOmK6WGARcCw4EM4BOl1CCtdet+ryWEaJXFpYuZmzeXS4ZewrieEir3UbcTvpsFS54Bmx1OuQ/G/xrs8stFcWi0Ni8orGoMUN3kp7rJHK1uudV/b2tOFwmyq9G/z3kcNkWvRDeZiR4m5/QgI9FDUrSTBM+eW484FxmJHrlQToh2ZMl3CaVUFnAGcC9wkzJ7mB0P/CJyyGzgz5gB/OzIfYA3gMcjx58NzNVa+4FtSql8YDywqJ0+hhBdXkljCbd/eTt94/ty/ZHXW11Ox6A1FC+FxU/ChvmAhmHnwMn3QEKm1dWJTkBrTUWDn60VjWytbGR7VTO7Gv1UNwWoagxQ1eSnpilIIGz84Dni3I59QvTAtFgSo51kJHjITPKQlRRNVpKH9Hh3h1uARAhh3Qj4I8CtQFzkcQpQq7UORR4XAy3fyTKBIgCtdUgpVRc5PhNYvNc5936NEOIQNQQauPbTawmEAzxy3CO4HW6rS7Lernx46zdmAHclwMRrYPzVkNTH6sqEBbTe0+fZXPxD0+ALUdngZ1ejn6rGgLltCrCrwU9lo59djQGKq5tp8Id2n8fjtJMaF0VKjIteCW6GZ8STEusiJSaK5JgoUmLNbaInigSPk1i3Q0K1EJ1cuwdwpdTPgAqt9XKl1NSW3fs5VP/Ecz/2mu+/59XA1QDZ2dkHVK8Q3VHQCHLTwpvYXredp096mgGJA6wuyXp5H8K8q8DuhNMfgFEXgSvW6qpEG2sOhCiobCK/opHtVU3mRYqYe9D0AAAgAElEQVTVXgqrmymr97XqHC6HjdRYF6lxLjIT3Yzrm8TAtFgG9DBv6fEuWcxKiG7GihHwo4GzlFKnA27MOeCPAIlKKUdkFDwLKIkcXwz0BoqVUg4gAajea3+LvV+zD631LGAWQG5ubgdrlS9Ex6K15p7F97C4dDF3T7qbCb0mWF2StQwDvvwHLLwPeo2C6S9BYu+ffp3odKqbAqwuqmVlYQ1rd9axpaKR4hrv7ueVgp7xbnonR3NMTiq9Ety7FzixRfo+x7ocZtiOjdodumOi7BKwhRD7aPcArrWeCcwEiIyA/0FrfbFS6nXg55idUC4F3o68ZH7k8aLI859prbVSaj7wslLqIcyLMHOA79rzswjRFf1r3b+Yt2UeV428inNzzrW6HGv56sye3nnvwxEXwpmPgNNjdVXiMAiEDDaW1rMqErhXFdWyvaoZMJezHpQex5HZSVyQ25uctFgGpsWSnRKNy2G3uHIhRFfQkS7Vvw2Yq5S6B1gJPBfZ/xwwJ3KRZTVm5xO01uuVUq8BG4AQcK10QBHi0Hxb8i2PrHiE0/qdxnVjrrO6HGtt/QzmXw/1O82e3hN+DTKK2amEDc2OqiaKaryU1Jq3nbVetu9qYl1JPYGQeZFjWpyLMdmJXDg+mzG9ExmZlUB0VEf69iiE6GqUPphO+51Ybm6uXrZsmdVlCNHh+EI+zpt/HjZl4z9n/QeX3WV1Sdbw1sJHd8LKOZAyEM5+ErK7+TScDq7JH4osItPEtl3NbC5vYHN5A1sqGneHbDB7XafHuchKjmZUVgJjspMY3TuRXglumSIihDjslFLLtda5+3tOfsQXQgDw3LrnKGooYtZJs7pv+N68AN65ARrL4OgbYOrtMuWkg/EFw6zYUcPibdV8t62K/IpGdjUG9jmmV4KbQelxHD0wlZy0WPqlxpCR6CEtziULxQghOgQJ4EIIttdt57m1z3Fav9M4KuMoq8tpf+EgfHwXLH4C0obBhS9C5lirq+q2GnxBNpU1UFLrjbT0C1DZ4GdHVROri2sJhjU2BcMzEjhxaDq9k6PpkxJNn+QYslOiSfA4rf4IQgjxoySAC9HNaa25Z8k9uO1ubh13q9XltL/GCnj9ctjxtdnT++R7wRFldVXdRihssKqoliXbqtlQUs/6krrdF0O2cNoVPWJd9Er0cMUx/ZjYL4WxfZOId0vQFkJ0ThLAhejmPtj2AUtKl/DHCX8k1ZNqdTntq2gpvDbDnPd97iwYNd3qirqFHVVNfLllF19trmTR1qrdi9JkJ0czPCOen4/NYlhGPNnJMfSIdRHvccgcbSFElyIBXIhurD5Qzz+W/YPhKcOZNmia1eW0H61h2XPwwe3m8vFXfgw9R1pdVZfV5A+xuKCKLzZX8sXmSnZERrgzEz38bFQGU3JSOWpAConR8psHIUT3IAFciG7s8ZWPU+2r5vETHsdu6yb9jYNeePcmWP0y5JwM580CT5LVVXUpWmvyyhv4Iq+SL7dUsnRbDYGwgcdp56gBKVw+qS/HDk6jb0q0jGwLIbolCeBCdFMFdQW8lvca0wZNY3jKcKvLaR812+HVS6BsHUydCVNuBZt0xThY3kCYrZWNlNb5KKvzUlLnY2eNlyXbqiiv9wMwOD2Oy47uy7GDepDbN0kWshFCCCSAC9FtPbr8UdwON9eMusbqUtrHlk/gP78CNPziNRh0stUVdToFlY0s217DquJaVhfVsqmsgbCxZy0Jh02RHu8mt08yxw7qweRBqfRKkDaOQojDI1RTA4aBDofBMCAcRv/QNmyAYW4dyUlE9e1rdfn7kAAuRDe0onwFnxV9xnVjriPFk2J1OW1vy8fw0jRIHw7T50Byf6sr6jSKa5p5Z3Up81eXsLG0HoA4t4NRWYlcc+wAhmXEk5nooVeCm9RYFzabTCkRQvy42v/Mo+zPf0ZFR2NzuVAeNza3B+VwoBwOcDqwuT1E9e8HGjAMmhYvJrB160G9X8L555Fx772H90McIgngQnQzWmseXP4gaZ40ZgybYXU5ba96mznynT4CfrUAomKsrqhDMwzNprIGvtpSyccbylm2owaAMdmJ3HXmMKYM6kG/lBgJ2kJ0MjocxvB6MZqa0d5mDL9/z0ixjowqa/29fXs9ZxhgGBh+P9rrxfD6MHzefe83ezF8PrTfjw74MfwB877fjw6Fdt9CpaVmTXV1GD9Sc9PXX2OLj0cpheHz7feY2KlTiT/9NLDZUXbbfrfOnult8Cd6aCSAC9HNfFL4CWsq1/CXSX/B4+ji0wMCzfDqDECZI98Svverzhvks03lfJFXydf5u3avLDmkZxy3nDKYM4/IIDsl2uIqhRAttNYQDKL3dwuFItswhEPocJgdv7i47YpRCuXxYHO7sXk8KLcbm9uNiopCuVzYYmOwRUWBw4FyOFFOJ8rhQBthCAYxAgF0IIgOBsy6A+bnsMfFkfH3+3GkdM3f0koAF6IbCRpBHln+CAMTB3LWgLOsLqdtaQ3v3gDl6+Di1yG5n9UVdSh13iAfbyjn/bWlfLWlkmBYkxITxTE5qUzO6cHknFTS491WlylEl9W0eDH1CxaYD7R5LYWy2VDOKDO8RkWhnC2LTWm0YdCw4CP8eXntWmffua+YF6vb7Cib2hOwPR4zcLtc0s3oIEgAF6IbeWPzGxQ2FPLECU/gsHXx//7f/RPWvApT74Cck6yupsPYXN7AUwu38u6aEoJhTWaih0uP6svpR/RidFaiTC0RohW01ujmZsK1tYRqawnX1BKurSVcU2Nua2sxvF60z2dO2WiZlhEO756G4d+48bDVE3fSScROPdacQ+107hltdtjBbkfZHSinA2W3g92xZ3/kGGW3m6+x28052A6H+cNAVJT5WBx28qcqRDfRGGjk6dVPM67nOCZnTra6nLa141tYMBMGnQpTbrG6mg5hRWENT36+lU82lhMdZefiCX04e3QGo3snyuiV6HZ0MEiopoZwTS1GfR3h+nrCdfWE6+sw6hvMx/V1GHX1hJsa0T4/2u/D8PkxfF6Munp0IPCD57fFxWGLjka5XebFhW4XNmeUuXXEmlMwvF4C27f/aJ3OPtn0mT3bnIahlHmz2eT/bBcgAVyIbuK5dc9R7avmibFPdN0v3lrDitnw/q2QmA3nPtOt+3yHDc0nG8v59zfbWFxQTYLHyfUn5HDZpL4kxciqk6Lr0Fpj1NURqq4mXFVFqKqacE21ua2OPK6q2v18uK7uh0+mFLa4OOzx8djj47HFxmJLTsLmckemX7iwxcdjT0zEkZSEPTERe8s2MRF7QoKMGoufJP9ChOgGShpLeGH9C5zR/wxGpI6wupy24W+E924yp50MOB7O+yd4Eq2uyhI1TQHmLi3ixcU72FnrpVeCmztOH8IvJvQh1iVf9kXHZTQ3E6qqIlxbR7iuzpzOUV+Hbm7eq+uGj3BDwz6BOlRTA6HQfs9pT0zEnpKCIzkZ16BBOJKTsack40hJMZ+Lj8cWn4A9YU/gVnZZMEq0LflKLEQ38MjyR1BKccORN1hdStuo2AivXQpVW+C4P8Lkm8HWPb6B1jQFyCtvYEtFI1vKG9hS3siKwhr8IYOj+qfwp58N5cSh6Tjs3fc3AcJaht9PqLKSUEUFoaoqjLqWcG0G7GBFOaHSMoLl5Rg/NjINZlcNjwdbbCyOlBScGRm4RwzHkZyCIyUZe8s2ErjtSUkyGi06JPlXKUQXt6piFR9s/4Crj7ianjE9rS7n8PLWwrePwaInwRUHM96C/sdaXVWbqfcF2VBSz5riWlYX17GmuJaiau/u52NdDnLSY7lofDYXjc9mcM84C6sV3UGopgb/5i34N28mWFpKuK6WcF0dRm0d4bpaQhWVPzzdw+nEnpCAMy0NZ+/eROfm4ujZE0dqamQ6RwL2hARzVDomBuV2o7rxlDLRtUgAF6IL01rzj2X/INWTyq9G/Mrqcg6fQBMseQa+eQR8dTDifDjlPojrOj9g1DYH+Ca/inUldeSVNZBX1sDO2j1hOzPRw6jeCVw8oQ9De8WTkxZLrwR3153fL9qcDocJVVYSLCndPfWj5YJEo6kJw9uM9vowvF7CDfUE8rcSqqzc/Xrlcu2eA21PSCCqb1+ix43DkZaGo0eauU1J3jNPOjpa/r2KbksCuBBd2IfbP2RN5RrunnQ30c4uspDKmtfhoz9CY7nZ5eT4O6HnSKurOmRaa/LKG/hsUwWfb6pg+Y4aDA0Om2JAj1jG9kni4onZDO0Zz8isBFJjXVaXLDoZrbU55aOoiGBxMYHinQSLi837O4sJlpRCMLjf17b0fLa53ahoD7boGGImTcI1aNDumyOthwRqIVpJArgQXZQv5OPh5Q8zJHlI11h0R2v4/D748u+QNR4ueAGyJ1pd1SGrbgowb0Uxc5cWkV/RCMDwjHh+d9xApg5JY0RGAlEO+bW7aD2tNaGSEnxbthDYuhV/QQGBgm0ECgr+azqIPSkJZ1YW7mHDiD/5ZJyZWTgzM7AnJmGPjzO7fcTFyTxqIQ4z+R8lRBf14sYXKW0q5Z6j78He2S9IDPlh/nVmh5MxM+BnD4Pd+dOv66AMQ/Pt1ipeWVrIR+vLCIY1R2Ynct+5IzlhaJqsQClaRWtNeNcu/Pn5+LdsMW+bt+DPz8doatp9nD01FVe/fsSddiqufv1w9u4dCdqZ2GNjLPwEQnRfEsCF6IKqfdU8u/ZZpvaeyvhe460u59B4a2DuJbDjazj+T2aHk076a+6Keh+vLy/m1aVFFFY3k+BxcsnEPlw4Ti6YFHtordHBoNl6r7nZnHNdV09wZzGBwkKCRcUEiooIbN1KuLZ29+vsSUm4Bg0i4dxzceXk4MoZiGvAAOwJCRZ+GiHE/kgAF6ILemb1M/hCPm4ce6PVpRya6m3w0jSo3QHnPwcjf251RQfMMDRfbqnkxcWFfJ5XQdjQTOyfzM0nD+KU4T1xOzv5byfEITF8PnPkOi8P36Y8c7t584+243OkpxPVuzdxJ52IK2cQrkE5uHJyzNUShRCdggRwIbqYwvpCXst7jfNzzqd/Qn+ryzl4xcvg5elghOCXb0OfSVZXdEAa/SH+s7yY2d9up2BXE6mxUVw1uT/Tx/WmX6r82r+7MZqbCRQVEywqxJ+/FV/eJvx5m82lyA0DABUdjTsnh/hTT8XZqye26GhzOXOPB3tsLM7MTJxZWdjcMkVJiM5OArgQXcyjKx7FaXdyzehrrC7l4G2YD/OuMtsKXvwGpOZYXVGr5ZU18Mp3hbyxvJhGf4jRvRN59MLRnDail1xM2U0Ey8rwrlyJd9UqvOvWEyjcQbhy1z7HOLOycA0eTPypp+IaPBj3kME4e/eWPtdCdBMSwIXoQtZUruGjHR/x21G/JdWTanU5B05rWPQEfHQnZOXCRXMhpuN/jkZ/iHdWl/Dq0iJWFdXitCvOGNmLSyf1ZUx2ktXliTakAwF8mzbhXbmS5lWr8K5cRaisDADlduMeNozYyVOIyu6Ns3dvorKzierbF3uczPkXojuTAC5EF6G15sFlD5LqSeXS4ZdaXc6B0xoW3AGLn4ShZ8F5s8DpsbqqH9XgC/LYp1t4aUkhzYEwg9JjufOMoZw7JpMU6dPdJWitCdfUECorI1hWTqiinGBZGaGycgKFhfjWr0f7/QA4MnoRfeSReEaPxjNmDO4hg1HOztutRwjRdiSAC9FFfF70OSsqVvA/R/1P51t0xzDgg1tg6bMw4RpzVcsO/Kt4rTXvrCnlnnc3UNno59zRmVxyVB/G9E6UhUg6Ka01weJivKvX4F29Gv/GjQTLywmVl6MDgX0Ptttx9OiBMyODpIsuigTu0TjT060pXgjR6UgAF6ILCBpBHl7+MP0S+nHuwHOtLufAGAa8dxMs/zccfT2c+JcO02bQMDR13n1XBiyr93HPexv4Jr+KEZnxPDNjrEwz6WS0YRAsLMS3aZN527gR39p1hKurAXPVR/fQoXhGjcLZMx1Hek8cPdNxpkfup6ag7NK9Rghx8CSAC9GJ+cN+3s5/m+fXP09RQxGPHfcYDlsn+m9tGPDuDbBiNhxzI5xwV4cI36GwwVurSnjy83wKdjX91/Nxbgd/PXs4v5jQB7vN+nrFDzN8PvybN+PbtAn/pk34Nm7Cl5eHbm42D7DbcQ0YQOyxx+IZNQrP6FG4Bg6UlR+FEG1KvsII0Qk1Bhp5Ne9V5myYQ5WvihEpI/jDcX/guOzjrC6t9YwwvHM9rJwDk/8Ax99pefgOhAzmrSjmiYX5FFV7Gdornj+ePhSnfU9dDruNU4b3pEeczPHuqIKlpTQuXEjDwoU0L16ye462LTYW95AhJJ5/Pu4hQ3ANGYxr4EBsLvm7FEK0LwngQnQym6o38btPf0d5czlH9TqKK0deybie4zrX3OOgD968Gja8DVNuhePusDR872r08+rSIl5avIOSOh+jshK462fDOWFoWuf6c+1mdChEcOdO/AUFBAq24d9WgG/devybNgHgzM4m6cLpeMaOxT1sGM7MTPn7FEJ0CBLAhehEPi/8nNu+uo34qHjmnDaH0WmjrS7pwPnqYO7FsP0rOPkemHSdJWVorVm+o4Y5i3fw/tpSgmHNUf1TuO+8kRw7qIcEtQ5Ch8MECgvxb95CoGArgZ07CRbvJLhzJ8HSUgiFdh9rT0nBlZND2i23EHvcVKL69ZO/RyFEhyQBXIhOQGvN7PWzeWj5QwxPGc5jxz9Gj+geVpd14OpL4aWfQ2UenPcsHDGt3UsIhAzeW1vCs19tY31JPXEuBxdP6MMlE7MZmCa9ma0UqqravRS7f/MW/Js348/PR/t8u4+x90glKiMTzxFHEH/aaUT16UNU/364+vXDnphoYfVCCNF6EsCF6OCCRpB7Ft/DvC3zOLnPydx7zL24HZ1wKerKzfDieeCtgYtfhwHtO1+9tjnAS0sKeWHRdsrr/QxMi+Xec0dw7phMoqPkS2F706EQvo2baF62jOalS/GuXk24qmr38/aUFFyDckiaPh3XoEHmbeAAbJ6O3RteCCFaQ77rCNHB/f27vzNvyzyuPuJqrh19LTbVcftj/6CaHTD7TNBhuOw9yGi/qTPrdtbx4uIdvLVqJ76gweScVO4//wim5PTAJh1M2oUOBPAXFJidSPI248/bhHfVaoxIJ5KoPn2InTwZ99Ahu8O2IyXF4qqFEKLttHsAV0r1Bl4AegIGMEtr/ahSKhl4FegLbAcu0FrXKHMC36PA6UAzcJnWekXkXJcCd0ZOfY/WenZ7fhYh2trb+W8zN28ulw2/jOvGWDNX+pA1V8OL50PIC1csgLShbf6WvmCY99eWMmfxDlYW1uJx2jlndCaXHd2XIT3j2/z9uzNtGAQKCvCuWYt3zWp8a9bi27x591xt5XLhGjiQhHPOIXpcLp6xY3GmpVlctRBCtC8rRsBDwM1a6xVKqThguVLqY+Ay4FOt9d+UUrcDtwO3AacBOZHbBOApYEIksN8F5AI6cp75Wuuadv9EQrSBDVUb+OvivzK+53iuP/J6q8s5OIFmePkCqC2EX77VpuFba82a4jpeX17E/FUl1PtC9O8Rw11nDuO8I7NI8MiS4G0lVFND01df0bjwCxq/+Qajrg6ItP0bOYKUyy/DNWQI7iFDiOrTR3psCyG6vXb/Kqi1LgVKI/cblFIbgUzgbGBq5LDZwELMAH428ILWWgOLlVKJSqlekWM/1lpXA0RC/KnAK+32YYRoI7W+Wm78/EaS3En849h/dK7FdVqEQ/DGFVC8DC54AfpMapO3qWsO8vryIl5fVkxeeQMuh41TR/TkgtzeTBqQIl0wDrNwQwP+/Hz8+fkE8rfiXb0a7+rVoDX21FTiTjiB6PHj8BxxBFF9+6JsnXDKlBBCtDFLv6srpfoCY4AlQHoknKO1LlVKtfxOMhMo2utlxZF9P7RfiE4tbIS59ctb2eXdxQunvUCyO9nqkg6c1vDejbD5Azj9ARh21mF/ix1VTfz7m+28tqyI5kCY0b0TuffcEfzsiAwZ7T4MjOZmfJvy8G/NJ5Cfj39LPv6tWwmVl+8+RrnduAYPIvXaa4k99ljcw4dJ4BZCiFawLIArpWKB/wA3aK3rf2SUan9P6B/Zv7/3uhq4GiA7O/vAixWiHT228jEWlS7i7kl3Mzx1uNXlHLiqreYKl9u/gsk3w/irDtupfcEwiwqqeGVJIR9vLMdhU5w1KpMrjunL8IyEw/Y+3VFo1y6al6/Au2IFzStW4Nu4cc+8bbcb14ABxEycQNTAgbgGDMSVM9Bc2EYCtxBCHDBLArhSyokZvl/SWs+L7C5XSvWKjH73Aioi+4uB3nu9PAsoieyf+r39C/f3flrrWcAsgNzc3P2GdCE6gtfyXuNf6/7FBYMu4Nycc60u58CEQ7Do/2Dh38DugjMfhSMvPeTTVtT7+GxTBZ9uquDrLbvwBsMkRTu5dupAfnlUH9LiO2FLxg4gXF9P89KlNC1aTPOSxfi35APmRZKekSNJueIKPKNH4crJkaAthBCHmRVdUBTwHLBRa/3QXk/NBy4F/hbZvr3X/t8ppeZiXoRZFwnpC4D7lFJJkeNOBma2x2cQoi0sLFrIvUvuZXLmZGZO6GT/lEtXw9u/g7I1MORn5rST+F6HdMr8igYe/yyf+atLMDRkJnqYlpvF8UPSmNg/BbfTfpiK7x4Mnw/vihU0LVpM05Il+NatA8NAud1Ejx1L/FlnETNuHO5hw1BRUVaXK4QQXZoVI+BHAzOAtUqpVZF9d2AG79eUUr8CCoGWJfLex2xBmI/ZhvByAK11tVLqr8DSyHF3t1yQKURns7pyNbd8cQtDk4fywLEPdJ6LLoNeWPi/8O3jEJ1iXmw57OxDOuXm8gb+77N83l1Tgsdp56rJ/TnvyCwGpcfKBZUHQIdCeNeupXnJEpoWLca7ciU6EACHA8/IkaT+5tdET5yIZ/RobBK4hRCiXSmzuUj3kZubq5ctW2Z1GULstqN+BzPen0FsVCxzTptDiqeTLECy7St45/dQXQBjLoGT7wFP0k+/7gdUNwW4570NvLlyJ9FOO7+c1JerJvcnOUbCYWuFGxtpWLCAho8/oXnpUoymJgBcQ4YQM3EiMUdNxDM2F3tsjMWVCiFE16eUWq61zt3fc51kmE2IrmmXdxe/+fg3ADx94tOdI3yHQ/D+zbD8efPxwBMhdbC52uVBBHCtNfNXl/CXdzZQ7w3y6ykD+PWU/iRJ8G4VHQ7T9O0i6t56i4ZPPkH7/Tizsog/4wxijppI9IQJOJI7YScdIYTowiSAC2GRGl8NV310FVW+Kp49+Vmy4ztJh576Ylg9d8/j/E/M2+iL4ZwnD+hUpXXe/2/vzuPrquv8j78+997sSZPuLbSlpQuUslN2kGLZBVkUdVT8Me7gzuigjrP8HEfBnzrOKOg4jqLOiAg4soOAyCJLS+lCC90Xuq9Zm+TmLp/fH+cmJydtKWBzT27zfj4el9x7zsnNp29Omk+/+Z7v4Wv/u5jHl27juHH13PyxU3Wnytfh7mQ3baLjlVfoXLKEzldeofPlxeQaG0nU11N/1ZU0XH45lccdp+k6IiIDmBpwkRi0dLXwiUc/wfrW9dwy+xaOHXls3CW9cUMnwpdfg5ZN8L+fhPXPw3HvDy68fIN2tqX52Z/X8Itn15HN5/naO6bz12dOIplQ09gt29hI+5y5pFesoGvNGrrWrqVr7dqeaSUkk1RMmULtrFnB49xZmsstIlIi1ICLFNnuzG6ue/Q6VjSt4Adv/wGnjj017pLevE3z4c5roaMR3vkDOOEaeAMjrluaO/nJU6u5fc5rdGZzXHz0GL580XQmDK/u/5oHOM/l6Hz5Zdqefoa2Z56m8+VglRLMKDvkEMonTqT+yiupmHw4lTNmUDFtGolKLcEoIlKK1ICLFFF7pp3rH7ueJTuX8N1Z3+WsQ8+Ku6Q3xx2e+yE8+o/QMAE+8iiM3f/ofXNHhn99dDm/fuE1cu5cfvwhXD9rMlNG1RWh6IErs3Ubu58JGu7dzz5HvrkZEolglZLrrqPmrDOpnD5djbaIyEFGDbhIkeTyOW548gYWbF/AzWffzOwJs+Mu6c3paIJ7PgVL74fpl8Hlt0Dl69990t25Z8EmvvHAq+zanea9J4/n+llTGD9s8I54p1evpuXhh2n9w6Okly4FIDVyJHWzZ1N79lnUnH46yYaGmKsUEZH+pAZcpEh+vuTn/Hnjn/n70/6eiyZdFHc5b86mBXDn/4HmDXDht+C06/Y75WTltjb+/veLeW71To4bV8/Prz2ZY8YNvtvFezZL59JltD31JK0PP0J6+XIwo+rEExn1pS9Sc9ZZVEybposmRUQGETXgIkWwcPtCfjj/h1w48UKunnb1/j9hIJl3Gzz4t1AzAv76IRh/yusevnJbK//x5Gp+v2AjVWVJvnHF0fzVKRMGzQWWns/T8dJLtM+dS/uL8+iYP598e3tP0z367/6OugsuoGz0qLhLFRGRmKgBF+lnrV2t3PjUjYypGcM/nP4PpTPSmU3DQ38bNOCT3w5X/RRq9r1O+bx1u/jRn1bz2KtbqSxL8P5TJvCZ2VMZUVtRvJpjlF69mubf30PzffeR3bwZzKiYOpX6Ky6n6qSTqD75ZMpGqekWERE14CL9yt35+nNfZ8vuLdx20W0MKS+RNa5bt8Ad18CGOXDWF+Dtfw+J5F4P7crm+cIdC3jg5c00VJfxudlT+T9nTDyo72Dp+TyZjRvpXLqU9NJltD39NJ2LFkEiQc1ZZzLqb/6G2rPPIlk/+KbciIjI/qkBF+lHv1/5ex5e+zCfPeGzHD/q+LjLeWPWz4U7PgjpFrj6Nphx5T4PzebyfO4383lo8RZuOH8aHz17EtXlB89fK57N0rV2Lek1a+haszZYj3v1atIrVgTTSiAY6T7ySEbdeCND3nGJRrlFRGS/Dp6flCIDzGgrYHcAACAASURBVKqmVXxrzrc4dcypfPjoD8ddzv7l8/D8rfD4/4W6sfDBR2HM0fs8PJd3bvjtQh5avIV/uPQoPnzWpCIW238ymzfT9swz7H76GXY/9xz51taefcmRI6iYOClYj/vII6g84ggqpk4lUVUVY8UiIlJq1ICL9IMdHTv41OOfojpVzTfP/ibJfUzfGDCaXoPfXw9rn4YjLgmWGKwets/D83nnxrsXce/CTXz54iNLuvnOp9O0z32xZz3urpWrAEiNGcOQiy6keuZMyg+fTPmkiSRra+MtVkREDgpqwEUOsI5sB595/DPs6tzFzy/8OaOqB/CUBHdYeDs8dCN4Pmi8j//A6y4xuKMtzXf/sIy75m3gC+dN45PnTC5iwQdOx4IFbL/1VtrnzMU7O7GyMqpPPpmGd72b2rPOpHzKlNK5YFZEREqKGnCRAyiXz/Hlp77Mkp1L+P6532fGiBlxlxTavBDu+zx0tYXbsmloWgcTzoArfwRDJ0Y+JZ3NseC1Jl56rYlFG5pYtKGZjU0dAFw/azKfnT2liH+At87dyW7aRL6jA9zxvNN4113sfurpnmPKDz+cIe+4hPqrrlLjLSIi/UoNuMgB9N153+WP6//IjSffyNsnvD3uckKdzfDbD0GmAw47I7rv9E/ByR+FRJJc3pn/WiPPrdrJc6t3Mm9dI+lsHoAJw6o5YUID154xkRMPG8qJExoGdKPquRwdCxfR+vhjtD32OF3r1r3u8elly9j8d1+j/LDDqJ45s0hViojIYKQGXOQAyOQy3LbkNn71yq/4wPQP8MGjPhh3SSF3uPcz0LQ+uJHOhFMju7O5PM+v2sWDizfzhyVb2NHWBcD0sUP4wKmHcdrhwzh54jCGlsCygu5Ox/wFNN93L62PPkZuxw4oK6Pm1FMZes01pIYNhUQCsGCaTcKCf0SY4ek07k7VCSfE/ccQEZGDnBpwkb/Ars5d3LnsTu5YdgfbO7bz9vFv50szvxR3WVFzfwqv3APnfz3SfG9r6eRHT67i9/M30tieobo8yblHjuLio8dw5uQRJdFwQ7Amd9fq1TQ/8AAt991PZsMGrLKS2nNnUXfeedS+7W0k6+riLlNERKSHGnCRN8ndWbh9IXevuJsHVz9IV76LMw85k6+f+XXOOOQMEpaIu8TQpvnwyFdh6oVw+mcAaNzdxY+fWsUvnl1LJudccsxY3nHMWM6ZNpKq8oG9WkuuqYnO5ctJL19Betky0suXh2tyJxLUnHYaIz79KerOO59kbU3c5YqIiOyVGnCRN2h182oeWP0AD6x+gI1tG6lKVXHl1Ct5//T3c3j94XGXt6fOZrjzWqgZCVf+mHTe+fEfV/DTp1fT1pXl8uMO4fPnTWPiiIHbqHYuXUrLAw8Gd5xctozstm09+5L19VRMm0b9VVdRccQ0as85RzfBERGRkqAGXGQ/dmd2c8OfbuDZTc+SsASnjT2N64+/ntkTZlNTNgCa19074cWfwav3QC4bbu9shrat8NcPkS6v57r/fok/Lt3GhTNGc8P5R3DEmIE5LSPX2krLAw/QdNfddC5eDGVlVEyZQs3pp1ExbRoV046gYto0UqNGDuiLQEVERPZFDbjI69id2c11j13Hou2L+NyJn+PyyZczsnpk3GUFti8P7ly58HbIdsJhZ0L18OgxM66kc+xMrvvVPJ5Ytp1vXnkM7z91Qjz17oO707VqFbtfeIH2F+bQ9tRTeGcnFdOmMfqrX2XIZZeSGjo07jJFREQOGDXgIvvQnmnn+seuZ9H2RXz7bd/mgokXxF0SpFvh1fth0R2w+glIVsBx74XTrodR0/c4vDOT45P/PY8/DaDm2/N50itW0v7iXNpffJH2OXPJ7dwJQOqQsdRfcTkN73oXlUcfrRFuERE5KKkBF9mL9kw71z9+PQu3L+Smt90Ub/Ody8KKP8DLv4VlDwWj3Q0TYNZXYeaHoXbvI/KdmRyf+NU8nly+nZuuOob3nRJP8+3ZLJ2vvkr73BeDhnvePPLNzQCkRo+m5swzqDn1VKpPOYWycePUdIuIyEFPDbhIH21dbXz2ic8yf9t8bjr7Ji6aeFE8hXQ0wku/hBd+Ai0bguklJ1wDx1wN40/Z5+3it7V0cv+izfz2xfUs29rKze86hveeXNzmO71mDa1/eJT2OXPomD8/WKUEKDtsAnXnzaZ65slUnzyTskMPVcMtIiKDjhpwkYJMPsPvlv+OWxfeSlO6iW+e9U0unnRx8QvZuQqe/xEs+DVkdsPEs+GSb8PUCyBZttdP2dTUwdMrtnPvwk08t2oneQ9upPODvzqBS489pChlZ7Zto/Whh2i+7/7g4kmgYupU6q+4nOqZM6k6aSZlo7VKiYiIiBpwGfTcnSfWP8G/zvtX1ras5aTRJ/HFmV/k6BFHF7eQra/A09+FJb+DRCoY6T7tOhhzzB6Hrt/VzrOrdvDCml3MWbOLDY0dAEwcXs2nz53CO48/hCmjirPKSWbjRrbe/G1aH3sM8nkqZ8xg1I03MuSSiykbPbooNYiIiJQSNeAyqLV0tfClJ7/Es5ueZVL9JP793H9n1vhZxZ0WsWk+PPUdWHo/lNfCGZ+B0z4FdWHzmss7C9Y38dirW3n81a0s39oGwPCack6ZNIyPnDWJUycNZ/rYuqLV7l1d7PzFL9hx64+CWj76UeqvuJyKwwfgmugiIiIDiBpwGbR2dOzgk49+klXNq/jKKV/hPUe8h1SiSN8SrVtg8e+CCys3zYfKejjny3DqJ6B6GNlcnlc2NDF3bSPz1u3ihdW72Lm7i2TCOHXSMN578gTOmTaCySNriz6H2t1pf2EOW77xz3StXEXtebMZ85WvUHbooUWtQ0REpFSpAZdBaX3Lej7+6MfZ2bmTW2bfwhmHnNH/X7RrN7xyT7CE4JqnwPMw9ji48JtwwjW0UMUflmzl/kUrmbNmF+1dOQDGDa3ibdNGMuuIkcyaNor66r3PA+8v2cZG2ufOpXPJK3QuXkzn4sXkmpspO/RQxv3oVurOPbeo9YiIiJQ6NeAy6CzbtYxPPPoJsp7lvy74L44Zuecc6wPGHTa9FKxm8vLd0NUKQyfB274ER7+bppqJPLViB/f9djlPLttOVy7PuKFVXH3SOGZOHMbMiUMZW1/Vf/W9js6lS9n1y1/Rct99eCYDqRQVU6dSd8H5VB5zDPWXXUaiKp7aRESKxd1xDz6Sj752B887eJ/t3cflPfI6eL/gfbeta2Hd4p2FzwXwPb52VW05448aFhyD9zo2fL+97cOd7rd0hxcfXEPLjs43/WevqivjyNPH9glkz5d9s6FvRl6or/A5S5/d/KZreT2jDquLfL3w6wfPDz9hJKddPvmAfs2/lBpwGTQ6s53cu+pevj/v+1SXVfOz83/G4Q39NF85l4GX74TnboGtiyFVFdyV8tgP8EJ2Gs+u2smzv9nG4k0rcIfRQyr44GmHcdlxYzl+fEPxp5Xk8+Sam8k1NZFeuZLG//k17c8/j1VV0XD1u6l/5zupmD6dREVFUesSkYGru9nJ5/Lkc0Gzmc85+e6PhW25XD7c12u/F56/biNbaF73aOjyHjaihffoef9cnlzWyWXyZLpyZNLBI1v4mOnKkekMnuey+WjjlnfyfZvJmC1+amNsX7ujNcOiP26APj+S+v6EsoRhFnwEMDMsAVhhO+Hz/lBVVx68d6+vYQnr+bq1Qyv75wv/BdSAy0FvR8cObl96O79d9lua0k0cM+IYvnvOdxlbO3b/n/xmZdOw4H/gmX+FptfIj5rBa6f/Cw/6GfxpbZr5P2skk5tLWdI4YcJQPjd7KmdNGcGJE4aSSByYv5nynZ2kly2jY8kSstu24R0d5Ns7yHcED+9oj7zOt7SQa2mBfL7nPVJjxjDyb25g6NVXk2xoOCB1icj+dTequUJT291Q5nP77wTzeSfdnqWzLUPn7gydbRky6Sy5rJPN5MllC49Mn489z4Pj8tl8OFqbh9Zdb37kdCBIphKUVSSDR2WSVHnwvLamrGd7MpXAEoWG0aKNYyIRdI5995nte3vvJjBoSo1EdyOaAOtuXQ22rG7mtSW79mxKuze4Uze8klMuPZxEqrux7NXEWuH9LPyUnsGbnm19jjfr9SV6PTd6Rsu7R+7zeaemvoKyiuSB+58iPdSAy0Epm8/ywuYXuH/1/Tyy9hGy+Syzxs/iQ0d9iJNGn3TgRpjTrcG63btWwbalMP9X0LqZ5uHHcfuh1/Hv6yfR/loes80cfUg9Hz5rEmdOHsHMiUOpLn/r337uTr65ma71G8hsWE/Xhg10rV1L55JXSK9cCdlscGAiQaKqCquuIlFVTaKqKnhUV5EcPjx4XldLauhQkg0NJBsaSI0cSfXMmVhZceeai8Std+OxtxHdPUdx83R15sh0ZoOP6RxdndlgdLUzR1c6G4yyZoIGN1t4BM9zPQ1w0PQG79cfI65mQTOaLEsEHyPPjWRZglR5koqaBKlUgkQq0dNYYrBxWSNtjek93ve42eOpqE6RSBqJRIJE0rCEBa+TQQPbvS2ZTGC9tvXe1zN6+gYa3HC79TSO3fsTyaCGZPf7DvCbfE2dqWVaBzM14HLQyOQzvLz9ZR5c8yCPrnuUXZ27qCur411T38U1R13DhCFv4m6Q2S5o2QjN66FpffCxbRt07IL2wmP3NmjbGvm0NbUncHPiYzy88Qgaqsu5/PixnDNtJKcfPvwtXTzp7mS3bSO9ciVdq1aRXrmK9MqVpFet6rmde7fksGFUTp9O7TnnUDnjKKqOPprU2LED/oeQDA7dUwSymTzZrqD5zHYFjWj36Gw4JSEcCe6ZR1tojD1P4WM47aB7fm13o9wz1aB7ukG6MOWg8Dzbldujwe7+2gdK96hrWUWSVFmSVHnQ8FbWpEimEqTKEiTLk6QKzXAiaSRTiV7Na6/nhceev/iPsgRUVpdRWVtGZU3wsawySTKZOGB/LhE5MNSAS8lpz7SzrX0bW9u3srJpJct2LWNZ4zJWNq6kK99FZbKSc8afw8WTLubsQ8+mPFm+7zfLZYIR7G2vwLZXw4+Na4LfvfbSUdZAW2IITdSxI1fL5uwMVmTOZbWPYa2PYZ2PxrNVnHfUaH56/KG8bdpIylNv7Aefu5PdsiVosFetDBrulauCRru1tee4ZH095VOnMOSiiyifOJHy8eMoGz+eskPHkayteUt5yuAVGfHNOh1tGXY3p9ndlKa9uYvO3Zme44InkQ99XoQXmKV3Z2hvzdDe0kVHS/A+2UwwD7gYUmWJyJSD7kdVXVmwrTxBontEtns0NmF9Rmj3PqIbeZ0MpjiUFxrt8spU0HSXJ3vmwoqI7E3JN+BmdhHwb0AS+Km73xRzSXIAtGfaWdO8htXNq1nVtIrVzat5reU1trVvozXTGjl2aMVQjhh2BO+f/n5mDJ/B2ePOpqasTzOaz0PT2mCaSE+z/Sq+YzmWLzQZJGipnsCWykmsG3Ymr3Q2ML+ljrXZ4Wz24XR1llFXmWLc0GoObajikIZKRtZWcE5tBVfVljO8ppxpY+oYUhmOdHs+T66xkezWrWS2biW7dRu5xl3kmpqDix6bm8nu2EHX6tXkd+/u+bzksGFUTJlC/WWXUj55MhWTp1AxdQrJYcM0ol3C3D0cme3sHqUNpy9kOgtTGNK5nm2ey/esZrB9fSs71rft8b51wyupHVqxx0Vu+V4Xv+W6L3rrnltc2L4/4fzRwnzRyM7ox+75reXVKarryqkeUsbQ0Q1U1paRKk/0jASnyhIkez1PlSVJlhmWCObj9jS6hWkEliB8vcfHve8TERnISroBN7MkcAtwPrABmGtm97r7K/FWJq8nnUuzs2Nn8OjcyY6OHWxr38b61vU9j12du3qOT1mKCUMmcNiQwzhl7CmMqh7F6OrRjKoexcQhExlVPSpsSt2hdTOse4781lfYvf5lbPurVDatJJXr6HnP7cnRrGQ8izIX82puHMt9HKv8ENKd5SQTxui6CqaOruOIGXVcNrqOaaNrmTiihiGVZeTTafKtreQaG8ls3kxmzSYyGzeR2bSJpsZGdra2BvtbW4OLGzOZPTJIVFeTaKgnWd9AamgD9VdcQcXUKVRMnkz55Mmkhg3r9/8Ppa57yoH3naOb7zO1YC/Pu4/rvUpCMG0hTz6fj0xp8MK0h97LieV7TYvoXo3BC6sneM5Z8eK2vRdduNDpjUiVJUhVJINRWIImc2/zcAHam7sYMrySVFlhZDcRzINNJAujuoW5sT2ju8lEr+fhiG9lbRk1DeXU1FdQ01BBRXVK/+ATEekHJd2AA6cAK919NYCZ/Qa4HFAD3k/ynqcr10VXvouuXBeZXKbneVc+eN2UbmJHx46eBntnR9Bk7+rcxY6OnbT1GcGGYORsRFk9Y8uGckrZOMaUT2McVUzwMg7NQll7J9bcgmW3Qy6N5bqwXJpELk1T4XUyn6a8q5mKXDBCaA7t+QZWpA9hXdfpbEwPZ1tXA500MKyqktGVxogK47IKGJLspNZWUEWeinwW391JfmEb+WeCRjrf2sqW1lY2tbbiXV17BpNKUTZmDKnhw4NpIuPHkaitI1k/hNSo0aRGj6Js9GhSo0eTGjYMKy8nlyvMge3K9Vx9nsfpcGBXZ8+6qRCuERusadq9rdeasr3Wge3e1719b43n3rb1bV6D19G5uJFGtrv5LTSde/SVheXJcjknnw1WWOgefc1l8+EIba8lxfZYw3Uv29/KWrZ/iZ7VDHots9V3ZLbnIrD9XPg185KJ4VSFXqszlFekwueF6QwJzdsVETlolXoDfiiwvtfrDcCpMdWyT7/43ndoW35i3GX0m1T7i4VnezYeE9IppmbGAGP28pnR45MV+aCR7DVKuAnYiOFYr0X8rde00+6Rb6IfMcyd7SOP73n/GmBS9+yQLNAGO9pgB2D5DPUtayGRwBNJSCQhmcSSKXxYEhuZxBNJLJEs7E9AMgnJFJZKQSJJT7/c3TxmHXaAbwdf7OCtuLcES32lcwf0gq849J4z292c7nFMKhGMxHZ/TAarLnSPyKbKk4WlvqLLeEWW8+qzvbyqba/TMN6I8z98FBXVZT21J5MWXihX3t34djfU4dcUERE5kEq9Ad/bT8Y9uhoz+zjwcYAJE97EShgHSHZDY9G/ZjGlkuMjr63Xs0xFnkwFr/Nr93CHl5d3r9Zf+PTgqv+e9UrD5U3D//Ssg9rdsCUiS1Wx99/Y71lFoozqk08Ol7oiuoh/sH4r4fqufZfA6n0DgL1sM4DC+yVTwdSCsvJg6a9UWSJ68wCzaAT0et9wY69tvY/vrj3cHrl4rE/T3PtjcMFZ9whvYS7uPo7VHFsREZG3rtQb8A1A7+5vHMGgaYS7/wT4CcDMmTOLPuz4ke/9S7G/pIiIiIgMUKU+yXAuMNXMJplZOfA+4N6YaxIRERER2aeSHgF396yZfRp4hGAZwp+5+5KYyxIRERER2aeSbsAB3P1B4MG46xAREREReSNKfQqKiIiIiEhJUQMuIiIiIlJEasBFRERERIpIDbiIiIiISBGpARcRERERKSI14CIiIiIiRaQGXERERESkiNSAi4iIiIgUkRpwEREREZEiUgMuIiIiIlJEasBFRERERIpIDbiIiIiISBGpARcRERERKSJz97hrKCoz2w6si+FLjwB27GebjtExpXJM3F9fx+gYHaPvbx2jY97qMcVymLuP3Osed9ejCA/gxf1t0zE6plSOifvr6xgdo2P0/a1jdMxbPWYgPDQFRURERESkiNSAi4iIiIgUkRrw4vnJG9imY3RMqRwT99fXMTpGx+j7W8fomLd6TOwG3UWYIiIiIiJx0gi4iIiIiEgRqQEXERERESkiNeAiIiIiIkWkBlxEBhQzGxV3DTIwmdmJcdcgInIgqAHvB2b2kpl9zcwmx13LQGBmF/V6Xm9m/2Vmi8zs12Y2Os7ais3MEmb2YTN7wMwWmtk8M/uNmc2Ku7Y4mNmwPo/hwBwzG2pmw+Kur5jMrNbMvm5mS8ys2cy2m9nzZnZt3LXFwcxO7PM4CbjXzE4YjI24mc00syfM7L/NbLyZPVo4T+aa2Qlx11dMZnakmT1U+Ht0spndZmZNZjbHzKbHXV+x6dyIKpXzQ6ug9AMzWwPcDbwH2ALcDtzh7ptiLSwmZvaSu59YeP5Tgkz+E7gKOMfdr4izvmIys58D64DHgHcDLcDTwI3APe7+gxjLKzozyxPk0ds4YAPg7n548auKh5ndA/wvwbnxHqAG+A3wNWCju381xvKKrnBuPA+ke20+rbDN3f3tsRQWEzObA/wj0AB8G/iCu99lZrOBb7j76bEWWERm9hTw/4Ba4CaCvz/vAC4FPu/us2Msr+h0bkSVyvmhBrwf9Gk4zwb+iqDZfBW43d0H3HqU/alPHgvc/fhe+yKvD3Zmtsjdj+31+nl3P83MKoAF7j5g/nVeDGb2ReA84Evu/nJh2xp3nxRvZcVnZgvd/bher+e6+8lmlgBecfcjYyyv6Mzs3cBngJvd/cHCtkF5bgCY2Xx3P6Hw/DV3n7C3fYNBnyxWuvuUXvt6ft4MFjo3okrl/NAUlH7m7k+7+/XAocDNwKD6l2jBKDO7wcz+BhhiZtZr32A7BzPdU5MKv0bvAnD3NDDo/jXs7t8BPgr8g5l9z8zqGIQ5FOw2s7MAzOwyYBeAu+cBe71PPBi5+13AO4DzzexOM5vA4D03ADrN7AIzuxpwM7sCwMzOAXLxllZ0yV7Pv9dnX3kxCxkgdG5ElcT5kYq7gIPU8r4b3D0HPFx4DDb/CdQVnv8CGAFsN7MxwILYqorHl4AnzCxN8P33PgAzGwncH2dhcXH3DcDVhabzUaA65pLi8kngp2Z2BPAy8BHoOTduibOwuLh7G/AFMzue4O+O2phLitMnCaYX5IELgevM7DZgI/CxGOuKwy1mVuvube5+a/dGM5tCMIVrsNG5EVUS54emoIgUWeE3AMPdfUfctQw0ZlYFTHb3xXHXIgNL4fumzt1b4q5FROQvpQa8yMzsr93953HXUWxmdiTBNJwXCqNa3dsvcvdB9VuBQhaXE+ThwCbgXnd/NdbCYqJzI2RmFwJXED037hlsOXQr5DEOeNzd1/ba/mF3/1lshcVkH+fH7939kVgLi4HOjSidG1GlcH6oAS+yvhdIDAZm9lngUwQXoR4PfM7d7ynsGzAXRBSDmd1IcFHubwhW+oDgL4n3Ab9x95viqi0OOjdCZvZ9YBrwS6LnxoeAFe7+ubhqi4OZfRM4C3gJuAz4fvcqQYPt3ACdH72Z2beAM9G5Aejc6KtUzg814P3AzBbtaxcwzd0rillP3MzsZeB0d28zs4nAXcCv3P3fBtsV2ma2HJjh7pk+28uBJe4+NZ7K4qFzI2Rmy9192l62G7B8kJ4bJ7h71swagF8Dy9z9C4Pt3ACdH73p3IjSuRFVKueHLsLsH6MJLoRo7LPdgGeLX07skt1TC9x9rQU3nbnLzA5j8K3ukAcOYc+1r8cW9g02OjdCnWZ2irvP6bP9ZKAzjoJilnL3LIC7NxUu0v2Jmd3JAFrJoIh0foR0bkTp3IgqifNDDXj/uB+odfc9Vvgwsz8Vv5zYbTGz47vzKIx2Xgr8DDgm3tKK7vPA42a2Alhf2DYBmAJ8Oraq4qNzI3Qt8KPCUozdv0YeT3CzpmtjqilOq8zsHHd/EnpWkvqImX0DeFe8pcXiWnR+dNO5EXUtOjd6K4nzQ1NQpN+Z2Tgg6+5b9rLvTHf/cwxlxcaCG6ucQnCxjBH8hTm38JfEoKJzY0+F5Tl7zo29ZTMYFFbEwd079rLvUHffWPyq4qfzQ+fGvujcCJTK+THYboISGzP7eNw1xMXd9/iLoDuPwdhguXve3Z9397sLNxs5djA236BzY2/cfYu7z3P3FwnW9x2U3L2j7w9QM/unwr4B8QM0Djo/dG7si86NQKmcH2rAi2fQfjPsg/IIKYso5RF6Z9wFDDDKI0p5hJRFlPKIGnB5qAEvnsF2Qdn+KI+QsohSHiFlEaU8opRHSFlEKY+oAZeH5oAXiZmN8+CW24Ly6E1ZRCmPkJkl3H0wro6zV8ojyszM9UMcUBZ96XslaiDmoRHwfmCB95jZ1YXns4G/NbPrCxfgDSrKY79+GXcBA8ygzMPMRvR5/UHg+2b28cJ6voOK8ogysyvNbFjh+Ugz+yWwyMzuKFzMPGgoiygz+56Zndl720BrNoupVPLQCHg/MLNbgVEE6022ABXAfcAlwNZBeFcq5VFge96kyQjuYLYMwN2PLXpRMVIeIet1hzYz+xpwNsENJC4lWNHgC3HWV2zKI8rMXnH3owrP7wCeB+4EzgM+4O7nx1lfMSmLKDPbTnBviZHAHcDt7j4/3qriUyp5aB3w/nG2ux9jZmXAFmCsu3eZ2a+BAXcSFIHyCK0l+EfIN4AOgobzaYLb5Q5Ga1Ee3XqP6l5F8H2zu/B98lJMNcVJeUQlez2f4u7vLTy/zcw+H0dBMVIWURvcfaaZTQXeB/y3mSWB2wmaz+Xxlld0JZGHfv3fP7rvwJQhWN+5q/A6CwzG5eaUR4G7vxO4G/gJcJy7rwUy7r7O3fveHfOgpzwiqszsBDM7ieAOobuh5/tmUH2fFCiPqD+Z2dcLaxz/ycyuADCzc4HmeEsrOmUR5QDuvsLd/9ndZwDvASqBB2OtLB4lkYca8P6xxcxqAdz9ou6NhUXyu2KrKj7Koxd3/1/gYmCWmd3LALo1bhyUR4/NwPeA7wC7zGwsgJkNp/CP2EFGeUR9GsgTTM+6GvidmbUCHwOuibOwGCiLqD2uiXD3Re7+FXefEkdBMSuJPDQHvIjMrAaocfdtcdcyECgPMLPjgNPd/cdx1zIQKI89FX51WuHu7XHXMhAoDzCzeiDl7jvjriVuygLMrNbd2+KuY6AolTw0B7yfFP5SuIjgtrAO76+EhAAAB3VJREFUbAIeGazNpvII7S0LM2tw96Z4K4uH8gi9zvfJoMsClEdfffMws0Gbh7IIuXubvldCpZKHpqD0AzP7EMFFQrOAaqAGOBeYV9g3qCiPkLKIUh4hZRGlPKKUR0hZRCmPqFLJQ1NQ+oGZLQNO7fsvLTMbCrzg7tPiqSweyiOkLKKUR0hZRCmPKOURUhZRyiOqVPLQCHj/MApX4faRZwDeDrUIlEdIWUQpj5CyiFIeUcojpCyilEdUSeShOeD941+Al8zsD8D6wrYJwPnAP8dWVXyUR0hZRCmPkLKIUh5RyiOkLKKUR1RJ5KEpKP2k8KuOCwkuADBgA8EFAI2xFhYT5RFSFlHKI6QsopRHlPIIKYso5RFVCnmoAS8SM7vU3e+Pu46BQnmElEWU8ggpiyjlEaU8QsoiSnlEDcQ81IAXiZm95O4nxl3HQKE8QsoiSnmElEWU8ohSHiFlEaU8ogZiHroIs3gGzMT/AUJ5hJRFlPIIKYso5RGlPELKIkp5RA24PNSAF88n4i5ggFEeIWURpTxCyiJKeUQpj5CyiFIeUQMuD62C0k/M7EjgcqJ392t191fjrSweyiOkLKKUR0hZRCmPKOURUhZRyiOqFPLQCHg/MLMbgd8Q/MpjDjC38Px2M/tynLXFQXmElEWU8ggpiyjlEaU8QsoiSnlElUoeugizH5jZcmCGu2f6bC8Hlrj71Hgqi4fyCCmLKOURUhZRyiNKeYSURZTyiCqVPDQC3j/ywCF72T62sG+wUR4hZRGlPELKIkp5RCmPkLKIUh5RJZGH5oD3j88Dj5vZCqJ3YZoCfDq2quKjPELKIkp5hJRFlPKIUh4hZRGlPKJKIg9NQeknZpYATiF6F6a57p6LtbCYKI+QsohSHiFlEaU8opRHSFlEKY+oUshDDbiIiIiISBFpDng/MLNjzex5M1tvZj8xs6G99s2Js7Y4KI+QsohSHiFlEaU8opRHSFlEKY+oUslDDXj/uBX4J+AYYDnwjJlNLuwri6uoGCmPkLKIUh4hZRGlPKKUR0hZRCmPqJLIQxdh9o9ad3+48Pw7ZjYPeNjMriFYEH6wUR4hZRGlPELKIkp5RCmPkLKIUh5RJZGHGvD+YWZW7+7NAO7+hJm9C7gbGBZvabFQHiFlEaU8QsoiSnlEKY+QsohSHlElkYemoPSPm4HpvTe4+yJgNvC7WCqKl/IIKYso5RFSFlHKI0p5hJRFlPKIKok8tAqKiIiIiEgRaQS8H5hZvZndZGZLzWxn4fFqYVtD3PUVm/IIKYso5RFSFlHKI0p5hJRFlPKIKpU81ID3j98CjcAsdx/u7sOBcwvb7oy1sngoj5CyiFIeIWURpTyilEdIWUQpj6iSyENTUPqBmS1z9yPe7L6DlfIIKYso5RFSFlHKI0p5hJRFlPKIKpU8NALeP9aZ2d+a2ejuDWY22sxuBNbHWFdclEdIWUQpj5CyiFIeUcojpCyilEdUSeShBrx/vBcYDjxpZo1mtgv4E8HyN++Js7CYKI+QsohSHiFlEaU8opRHSFlEKY+okshDU1D6iZkdCYwDnnf3tl7bL+q1QPygoTxCyiJKeYSURZTyiFIeIWURpTyiSiEPjYD3AzP7LHAP8GlgsZld3mv3N+OpKj7KI6QsopRHSFlEKY8o5RFSFlHKI6pU8tCdMPvHx4CT3L3NzCYCd5nZRHf/N8BirSweyiOkLKKUR0hZRCmPKOURUhZRyiOqJPJQA94/kt2/8nD3tWY2i+AEOIwB9D+/iJRHSFlEKY+QsohSHlHKI6QsopRHVEnkoSko/WOLmR3f/aJwIlwKjACOia2q+CiPkLKIUh4hZRGlPKKUR0hZRCmPqJLIQxdh9gMzGwdk3X3LXvad6e5/jqGs2CiPkLKIUh4hZRGlPKKUR0hZRCmPqFLJQw24iIiIiEgRaQqKiIiIiEgRqQEXERERESkiNeAiIoOUmeXMbIGZLTGzhWZ2g5m97s8FM5toZu8vVo0iIgcjNeAiIoNXh7sf7+4zgPOBS4B/3M/nTATUgIuI/AV0EaaIyCBlZm3uXtvr9eHAXILlug4DfgXUFHZ/2t2fNbPngenAGuAXwL8DNwGzgArgFnf/j6L9IURESpAacBGRQapvA17Y1ggcCbQCeXfvNLOpwO3uPrNwU4svuvulheM/Doxy92+YWQXwZ+Bqd19T1D+MiEgJ0Z0wRUSkt+47xZUBPyzc0CIHTNvH8RcAx5rZuwuv64GpBCPkIiKyF2rARUQE6JmCkgO2EcwF3wocR3C9UOe+Pg34jLs/UpQiRUQOAroIU0REMLORwI+BH3owN7Ee2OzueeAaIFk4tBWo6/WpjwDXmVlZ4X2mmVkNIiKyTxoBFxEZvKrMbAHBdJMswUWX3yvsuxW428yuBp4Adhe2LwKyZrYQuA34N4KVUV4yMwO2A1cU6w8gIlKKdBGmiIiIiEgRaQqKiIiIiEgRqQEXERERESkiNeAiIiIiIkWkBlxEREREpIjUgIuIiIiIFJEacBERERGRIlIDLiIiIiJSRGrARURERESK6P8Dh3LkrWX7hXIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x522 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_deaths = allbystate_df.sort_values([\"Deaths\"], ascending=True)\n",
    "ct_df = top_deaths[top_deaths[\"State\"]=='CT']\n",
    "ma_df = top_deaths[top_deaths[\"State\"]=='MA']\n",
    "nj_df = top_deaths[top_deaths[\"State\"]=='NJ']\n",
    "md_df = top_deaths[top_deaths[\"State\"]=='MD']\n",
    "nh_df = top_deaths[top_deaths[\"State\"]=='NH']\n",
    "\n",
    "fig,ax = plt.subplots()\n",
    "plt.plot(\"Date\", \"Deaths\", data=ct_df)\n",
    "plt.plot(\"Date\", \"Deaths\", data=ma_df)\n",
    "plt.plot(\"Date\", \"Deaths\", data=nj_df)\n",
    "plt.plot(\"Date\", \"Deaths\", data=md_df)\n",
    "plt.plot(\"Date\", \"Deaths\", data=nh_df)\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Deaths\")\n",
    "plt.title(\"Top 5 States (Per Capita Income) Deaths over Time\")\n",
    "plt.xticks(rotation=90)\n",
    "fig.set_size_inches(12, 7.25)\n",
    "plt.legend(labels=[\"Connecticut\", \"Massachusetts\", \"New Jersey\", \"Maryland\", \"New Hampshire\"])\n",
    "\n",
    "for n, label in enumerate(ax.xaxis.get_ticklabels()):\n",
    "    if n % 15 !=0:\n",
    "        label.set_visible(False)\n",
    "plt.savefig(\"Top 5 States Per Capita Income Total Deaths over Time.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>Active</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Date</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Fatality Rate</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>State Name</th>\n",
       "      <th>State</th>\n",
       "      <th>Active Diff</th>\n",
       "      <th>Confirmed Diff</th>\n",
       "      <th>Deaths Diff</th>\n",
       "      <th>Recovered Diff</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Land Area (mi2)</th>\n",
       "      <th>Population</th>\n",
       "      <th>Population Density</th>\n",
       "      <th>Per Capita Income</th>\n",
       "      <th>Median Household Income</th>\n",
       "      <th>Standard Moving Average</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2020-03-10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>61.3707</td>\n",
       "      <td>-152.4044</td>\n",
       "      <td>211300.81</td>\n",
       "      <td>734417.0</td>\n",
       "      <td>3.475694</td>\n",
       "      <td>35617.249121</td>\n",
       "      <td>51875.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>61.3707</td>\n",
       "      <td>-152.4044</td>\n",
       "      <td>211300.81</td>\n",
       "      <td>734417.0</td>\n",
       "      <td>3.475694</td>\n",
       "      <td>35617.249121</td>\n",
       "      <td>51875.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>61.3707</td>\n",
       "      <td>-152.4044</td>\n",
       "      <td>211300.81</td>\n",
       "      <td>734417.0</td>\n",
       "      <td>3.475694</td>\n",
       "      <td>35617.249121</td>\n",
       "      <td>51875.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-03-13</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>61.3707</td>\n",
       "      <td>-152.4044</td>\n",
       "      <td>211300.81</td>\n",
       "      <td>734417.0</td>\n",
       "      <td>3.475694</td>\n",
       "      <td>35617.249121</td>\n",
       "      <td>51875.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-03-15</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>61.3707</td>\n",
       "      <td>-152.4044</td>\n",
       "      <td>211300.81</td>\n",
       "      <td>734417.0</td>\n",
       "      <td>3.475694</td>\n",
       "      <td>35617.249121</td>\n",
       "      <td>51875.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6790</th>\n",
       "      <td>65724</td>\n",
       "      <td>67011</td>\n",
       "      <td>2020-07-19</td>\n",
       "      <td>1287</td>\n",
       "      <td>0.0192</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>AL</td>\n",
       "      <td>1776</td>\n",
       "      <td>1777</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>32.3182</td>\n",
       "      <td>-86.9023</td>\n",
       "      <td>49481.34</td>\n",
       "      <td>4846150.0</td>\n",
       "      <td>97.938940</td>\n",
       "      <td>26883.102656</td>\n",
       "      <td>41750.0</td>\n",
       "      <td>23.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6791</th>\n",
       "      <td>67600</td>\n",
       "      <td>68891</td>\n",
       "      <td>2020-07-20</td>\n",
       "      <td>1291</td>\n",
       "      <td>0.0187</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>AL</td>\n",
       "      <td>1876</td>\n",
       "      <td>1880</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>32.3182</td>\n",
       "      <td>-86.9023</td>\n",
       "      <td>49481.34</td>\n",
       "      <td>4846150.0</td>\n",
       "      <td>97.938940</td>\n",
       "      <td>26883.102656</td>\n",
       "      <td>41750.0</td>\n",
       "      <td>23.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6792</th>\n",
       "      <td>69055</td>\n",
       "      <td>70358</td>\n",
       "      <td>2020-07-21</td>\n",
       "      <td>1303</td>\n",
       "      <td>0.0185</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>AL</td>\n",
       "      <td>1455</td>\n",
       "      <td>1467</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>32.3182</td>\n",
       "      <td>-86.9023</td>\n",
       "      <td>49481.34</td>\n",
       "      <td>4846150.0</td>\n",
       "      <td>97.938940</td>\n",
       "      <td>26883.102656</td>\n",
       "      <td>41750.0</td>\n",
       "      <td>19.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6793</th>\n",
       "      <td>70449</td>\n",
       "      <td>71813</td>\n",
       "      <td>2020-07-22</td>\n",
       "      <td>1364</td>\n",
       "      <td>0.0190</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>AL</td>\n",
       "      <td>1394</td>\n",
       "      <td>1455</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>32.3182</td>\n",
       "      <td>-86.9023</td>\n",
       "      <td>49481.34</td>\n",
       "      <td>4846150.0</td>\n",
       "      <td>97.938940</td>\n",
       "      <td>26883.102656</td>\n",
       "      <td>41750.0</td>\n",
       "      <td>21.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6794</th>\n",
       "      <td>72815</td>\n",
       "      <td>74212</td>\n",
       "      <td>2020-07-23</td>\n",
       "      <td>1397</td>\n",
       "      <td>0.0188</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>AL</td>\n",
       "      <td>2366</td>\n",
       "      <td>2399</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>32.3182</td>\n",
       "      <td>-86.9023</td>\n",
       "      <td>49481.34</td>\n",
       "      <td>4846150.0</td>\n",
       "      <td>97.938940</td>\n",
       "      <td>26883.102656</td>\n",
       "      <td>41750.0</td>\n",
       "      <td>23.857143</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6795 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Active  Confirmed        Date  Deaths  Fatality Rate  Recovered  \\\n",
       "0          0          0  2020-03-10       0         0.0000          0   \n",
       "1          0          0  2020-03-11       0         0.0000          0   \n",
       "2          0          0  2020-03-12       0         0.0000          0   \n",
       "3          1          1  2020-03-13       0         0.0000          0   \n",
       "4          1          1  2020-03-15       0         0.0000          0   \n",
       "...      ...        ...         ...     ...            ...        ...   \n",
       "6790   65724      67011  2020-07-19    1287         0.0192          0   \n",
       "6791   67600      68891  2020-07-20    1291         0.0187          0   \n",
       "6792   69055      70358  2020-07-21    1303         0.0185          0   \n",
       "6793   70449      71813  2020-07-22    1364         0.0190          0   \n",
       "6794   72815      74212  2020-07-23    1397         0.0188          0   \n",
       "\n",
       "     State Name State  Active Diff  Confirmed Diff  Deaths Diff  \\\n",
       "0        Alaska    AK            0               0            0   \n",
       "1        Alaska    AK            0               0            0   \n",
       "2        Alaska    AK            0               0            0   \n",
       "3        Alaska    AK            1               1            0   \n",
       "4        Alaska    AK            0               0            0   \n",
       "...         ...   ...          ...             ...          ...   \n",
       "6790    Alabama    AL         1776            1777            1   \n",
       "6791    Alabama    AL         1876            1880            4   \n",
       "6792    Alabama    AL         1455            1467           12   \n",
       "6793    Alabama    AL         1394            1455           61   \n",
       "6794    Alabama    AL         2366            2399           33   \n",
       "\n",
       "      Recovered Diff      Lat       Lon  Land Area (mi2)  Population  \\\n",
       "0                  0  61.3707 -152.4044        211300.81    734417.0   \n",
       "1                  0  61.3707 -152.4044        211300.81    734417.0   \n",
       "2                  0  61.3707 -152.4044        211300.81    734417.0   \n",
       "3                  0  61.3707 -152.4044        211300.81    734417.0   \n",
       "4                  0  61.3707 -152.4044        211300.81    734417.0   \n",
       "...              ...      ...       ...              ...         ...   \n",
       "6790               0  32.3182  -86.9023         49481.34   4846150.0   \n",
       "6791               0  32.3182  -86.9023         49481.34   4846150.0   \n",
       "6792               0  32.3182  -86.9023         49481.34   4846150.0   \n",
       "6793               0  32.3182  -86.9023         49481.34   4846150.0   \n",
       "6794               0  32.3182  -86.9023         49481.34   4846150.0   \n",
       "\n",
       "      Population Density  Per Capita Income  Median Household Income  \\\n",
       "0               3.475694       35617.249121                  51875.0   \n",
       "1               3.475694       35617.249121                  51875.0   \n",
       "2               3.475694       35617.249121                  51875.0   \n",
       "3               3.475694       35617.249121                  51875.0   \n",
       "4               3.475694       35617.249121                  51875.0   \n",
       "...                  ...                ...                      ...   \n",
       "6790           97.938940       26883.102656                  41750.0   \n",
       "6791           97.938940       26883.102656                  41750.0   \n",
       "6792           97.938940       26883.102656                  41750.0   \n",
       "6793           97.938940       26883.102656                  41750.0   \n",
       "6794           97.938940       26883.102656                  41750.0   \n",
       "\n",
       "      Standard Moving Average  \n",
       "0                         NaN  \n",
       "1                         NaN  \n",
       "2                         NaN  \n",
       "3                         NaN  \n",
       "4                         NaN  \n",
       "...                       ...  \n",
       "6790                23.714286  \n",
       "6791                23.857143  \n",
       "6792                19.857143  \n",
       "6793                21.857143  \n",
       "6794                23.857143  \n",
       "\n",
       "[6795 rows x 20 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "allbystate_df[\"Standard Moving Average\"] = allbystate_df.loc[:,\"Deaths Diff\"].rolling(window=7).mean()\n",
    "allbystate_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x522 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ct_df = top_deaths[top_deaths[\"State\"]=='CT']\n",
    "ma_df = top_deaths[top_deaths[\"State\"]=='MA']\n",
    "nj_df = top_deaths[top_deaths[\"State\"]=='NJ']\n",
    "md_df = top_deaths[top_deaths[\"State\"]=='MD']\n",
    "nh_df = top_deaths[top_deaths[\"State\"]=='NH']\n",
    "plt.style.use('fivethirtyeight')\n",
    "fig,ax = plt.subplots()\n",
    "plt.plot(\"Date\", \"Deaths\", data=ct_df)\n",
    "plt.plot(\"Date\", \"Deaths\", data=ma_df)\n",
    "plt.plot(\"Date\", \"Deaths\", data=nj_df)\n",
    "plt.plot(\"Date\", \"Deaths\", data=md_df)\n",
    "plt.plot(\"Date\", \"Deaths\", data=nh_df)\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Deaths\")\n",
    "plt.title(\"Top 5 States (Per Capita Income) Deaths over Time\")\n",
    "plt.xticks(rotation=90)\n",
    "fig.set_size_inches(12, 7.25)\n",
    "plt.legend(labels=[\"Connecticut\", \"Massachusetts\", \"New Jersey\", \"Maryland\", \"New Hampshire\"])\n",
    "\n",
    "for n, label in enumerate(ax.xaxis.get_ticklabels()):\n",
    "    if n % 15 !=0:\n",
    "        label.set_visible(False)\n",
    "plt.savefig(\"Top 5 States Per Capita Income Total Deaths over Time.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}