{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import zipfile\n",
    "import warnings\n",
    "import math\n",
    "import plotly\n",
    "import plotly.plotly as py\n",
    "import numpy as np\n",
    "warnings.filterwarnings('ignore')\n",
    "pd.set_option('Display.float_format', lambda x: '%.2f'% x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data came from The World Bank\n",
    "zipfile.ZipFile('Dataset.zip').extractall('.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read csv file and create a dataframe of years I am going to analyze\n",
    "Percapita = pd.read_csv('Current health expenditure per capita (current US$).csv', index_col=0)\n",
    "PerGDP = pd.read_csv('Current health expenditure (% of GDP).csv',index_col=0)\n",
    "birthrate = pd.read_csv('Birth rate(per 1,000 people).csv',index_col=0)\n",
    "Hospbed = pd.read_csv('Hospital beds (per 1,000 people).csv',index_col=0)\n",
    "lifespan = pd.read_csv('Life expectancy at birth, total (years).csv',index_col=0)\n",
    "Pop = pd.read_csv('NationPop.csv',index_col=0)\n",
    "infantdeath = pd.read_csv('Number of infant deaths.csv',index_col=0)\n",
    "Doc = pd.read_csv('Physicians (per 1,000 people).csv',index_col=0)\n",
    "years = ['2008','2009','2010','2011','2012','2013','2014','2015']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "#data cleaning and preprocessing\n",
    "del Percapita['Country Code'], Percapita['Indicator Name'], Percapita['Indicator Code']\n",
    "Percapita = Percapita.loc[:,years]\n",
    "del PerGDP['Country Code'], PerGDP['Indicator Name'], PerGDP['Indicator Code']\n",
    "PerGDP = PerGDP.loc[:,years]\n",
    "del birthrate['Country Code'], birthrate['Indicator Name'], birthrate['Indicator Code']\n",
    "birthrate = birthrate.loc[:,years]\n",
    "del Hospbed['Country Code'], Hospbed['Indicator Name'], Hospbed['Indicator Code']\n",
    "Hospbed = Hospbed.loc[:,years]\n",
    "del lifespan['Country Code'], lifespan['Indicator Name'], lifespan['Indicator Code']\n",
    "lifespan = lifespan.loc[:,years]\n",
    "del Pop['Country Code'], Pop['Indicator Name'], Pop['Indicator Code']\n",
    "Pop = Pop.loc[:,years]\n",
    "del infantdeath['Country Code'], infantdeath['Indicator Name'], infantdeath['Indicator Code']\n",
    "infantdeath = infantdeath.loc[:,years]\n",
    "del Doc['Country Code'], Doc['Indicator Name'], Doc['Indicator Code']\n",
    "Doc = Doc.loc[:,years]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function of top 15 of a specific year \n",
    "def top(df, year):\n",
    "    tops = df.sort_values(by=year,ascending=False)\n",
    "    tops = tops.reset_index()\n",
    "    tops = pd.DataFrame(tops, columns = ['Country Name']).head(15)\n",
    "    tops.columns = [year] #change collumn header to year\n",
    "    tops.index = tops.index + 1\n",
    "    return tops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function of top 15 from 2008 to 2015\n",
    "def top_ctys_range(df):\n",
    "    top10 = [top(df, year) for year in years]\n",
    "    \n",
    "    return top10[0].join(top10[1:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "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>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Norway</td>\n",
       "      <td>United States</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>United States</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Norway</td>\n",
       "      <td>United States</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>Norway</td>\n",
       "      <td>United States</td>\n",
       "      <td>United States</td>\n",
       "      <td>United States</td>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>North America</td>\n",
       "      <td>Norway</td>\n",
       "      <td>North America</td>\n",
       "      <td>North America</td>\n",
       "      <td>North America</td>\n",
       "      <td>North America</td>\n",
       "      <td>North America</td>\n",
       "      <td>Norway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>Luxembourg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Sweden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ireland</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Denmark</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Austria</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Iceland</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>Japan</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Ireland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Germany</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Netherlands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>France</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Japan</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>France</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Austria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>High income</td>\n",
       "      <td>High income</td>\n",
       "      <td>Germany</td>\n",
       "      <td>High income</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Canada</td>\n",
       "      <td>OECD members</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             2008                       2009                       2010  \\\n",
       "1          Norway              United States                Switzerland   \n",
       "2      Luxembourg                 Luxembourg              United States   \n",
       "3   United States              North America                     Norway   \n",
       "4   North America                     Norway              North America   \n",
       "5     Switzerland                Switzerland                 Luxembourg   \n",
       "6         Denmark                    Denmark                    Denmark   \n",
       "7         Ireland                    Ireland                Netherlands   \n",
       "8     Netherlands                Netherlands                    Ireland   \n",
       "9         Andorra                    Austria                     Canada   \n",
       "10        Austria                    Germany                  Australia   \n",
       "11        Iceland                    Andorra  Post-demographic dividend   \n",
       "12        Germany  Post-demographic dividend                    Austria   \n",
       "13         Sweden                     France                    Germany   \n",
       "14         France                    Belgium                    Andorra   \n",
       "15        Belgium                High income                High income   \n",
       "\n",
       "                         2011                       2012  \\\n",
       "1                 Switzerland                Switzerland   \n",
       "2                      Norway                     Norway   \n",
       "3               United States              United States   \n",
       "4               North America              North America   \n",
       "5                  Luxembourg                 Luxembourg   \n",
       "6                      Sweden                     Sweden   \n",
       "7                     Denmark                  Australia   \n",
       "8                   Australia                    Denmark   \n",
       "9                 Netherlands                Netherlands   \n",
       "10                     Canada                     Canada   \n",
       "11                    Ireland                      Japan   \n",
       "12  Post-demographic dividend  Post-demographic dividend   \n",
       "13                      Japan                    Ireland   \n",
       "14                    Austria                    Austria   \n",
       "15                    Germany                High income   \n",
       "\n",
       "                         2013                       2014  \\\n",
       "1                 Switzerland                Switzerland   \n",
       "2                      Norway                     Norway   \n",
       "3               United States              United States   \n",
       "4               North America              North America   \n",
       "5                  Luxembourg                 Luxembourg   \n",
       "6                      Sweden                     Sweden   \n",
       "7                     Denmark                    Denmark   \n",
       "8                   Australia                Netherlands   \n",
       "9                     Andorra                  Australia   \n",
       "10                Netherlands                    Ireland   \n",
       "11                    Ireland  Post-demographic dividend   \n",
       "12                     Canada                    Austria   \n",
       "13  Post-demographic dividend                    Germany   \n",
       "14                    Austria                    Andorra   \n",
       "15                    Germany                     Canada   \n",
       "\n",
       "                         2015  \n",
       "1                 Switzerland  \n",
       "2               United States  \n",
       "3               North America  \n",
       "4                      Norway  \n",
       "5                  Luxembourg  \n",
       "6                      Sweden  \n",
       "7                     Denmark  \n",
       "8   Post-demographic dividend  \n",
       "9                   Australia  \n",
       "10                High income  \n",
       "11                    Ireland  \n",
       "12                Netherlands  \n",
       "13                    Germany  \n",
       "14                    Austria  \n",
       "15               OECD members  "
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top 15 current health expenditure per capita between 2008 and 2015\n",
    "top_ctys_range(Percapita)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "# top 10 countries of current health expenditure per capita in 2015\n",
    "ctycapita = ['Switzerland', 'United States', 'Norway', 'Luxembourg', 'Sweden', 'Denmark', 'Australia', 'Ireland', 'Netherlands', 'Germany']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "# modify dataframe to draw a line chart\n",
    "ctycapita_top10 = Percapita\n",
    "ctycapita_top10 = ctycapita_top10.loc[ctycapita, years]\n",
    "ctycapita_top10 = ctycapita_top10.stack().unstack(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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UW23YsAEHBwfmzJljK+vTpw/h4eForXnqqacICQkhNDSUzz//HDAC5PHjx9vmnzt3LsuXLweMJz4+//zz9OvXj9DQUOLj40lKSmLJkiUsXryYPn36sGnTJmbOnMmCBQsYMWIETz31FAEBAWRkZABgsVjo1q0bmZmZF9R3/Pjx7N+/n4MHD14w7aGHHiIsLIzg4GCef/55W3mnTp344x//yODBgwkLC2Pnzp2MGzeOrl27smTJEtt8r7/+OgMGDKBXr17nLS+EEEIIIaomQbXVvn376N+/f5XTVq9eza5du9i9ezeRkZE89dRTpKSk1LpOs9nMzp07eeihh1i0aBGdOnVizpw5zJ8/n127dhEeHg5AQkICkZGRLF68mOnTp7NixQoAIiMj6d27N2az+YJ1m0wmfv/73/PKK69cMG3hwoXExMSwZ88efv755/PSRPz8/Ni6dSvh4eHMnDmTVatWsW3bNp577jkAfvrpJxITE4mOjmbXrl3ExsYSFRVV+wEUQgghhLiGSVBdB5s3b2bq1KnY2dnh7e3NsGHD2LFjR63L3X777QD079+/xnznyZMnY2dnB8Ds2bP5+OOPAVi2bBmzZs2qdrm7776bbdu2cfTo0fPKv/jiC/r160ffvn3Zv38/Bw4csE2bMGECAKGhoQwaNAg3Nze8vLxwcnIiOzubn376iZ9++om+ffvSr18/4uPjSUxMrHVfhRBCCCGuZc1qnOrLERwczKpVq6qcprWustze3h6LxWJ7XXnYOEdHRwDs7OxqzJd2cXGx/e3n54e3tzfr169n+/bttlbr6rb/xBNP8Le//c1WdvToURYtWsSOHTto3bo1M2fOPK9e5XUymUy2v8tfl5aWorXmmWee4cEHH6x2u0IIIYQQ4nzSUm01cuRIioqK+OCDD2xlO3bs4OeffyYiIoLPP/+csrIyMjIyiIqKYuDAgfj7+3PgwAGKiorIyclh3bp1tW7Hzc2NvLy8Gue57777mD59OlOmTLG1YFdn5syZREZG2vKwc3NzcXFxwcPDg7S0NH744Yc67P1vxo0bx7Jly8jPzwfg5MmTpKenX9Q6hBBCCCGuNRJUWyml+Oqrr1i7di1du3YlODiYF154gXbt2jFx4kR69epF7969GTlyJK+99ho+Pj74+fkxZcoUevXqxbRp0+jbt2+t27nlllv46quvbB0VqzJhwgTy8/NrTP0o16JFCx599FFb4Nu7d2/69u1LcHAws2fPZsiQIRd1HMaOHcvdd9/N4MGDCQ0NZdKkSbVeBAghhBBCXOtUdakNjV1YWJiOiYk5rywuLo4ePXo0UI3qT0xMDPPnz6826G6Kmsu5EUIIIcS1RSkVq7UOq20+yaluZF599VXee++9GnOphRBCCCFE4yLpH43MH/7wB44dO8bQoUMbuipCCCGEEKKOJKgWQgghhBDiMtUaVCulliml0pVS+yqUtVFKrVVKJVp/t7aWK6XUm0qpQ0qpPUqpfhWWudc6f6JS6t4K5f2VUnuty7yplFL1vZNCCCGEEEJcSXVpqV4O3FCp7A/AOq11ALDO+hrgRiDA+vMA8B4YQTjwPDAIGAg8Xx6IW+d5oMJylbclhBBCCCFEo1ZrUK21jgJOVyq+FfjI+vdHwG0Vyj/Whm1AK6WULzAOWKu1Pq21PgOsBW6wTnPXWm/VxjAkH1dYlxBCCCGEEE3CpeZUe2utUwCsv9tay9sDJyrMl2wtq6k8uYryJmvhwoUEBwfTq1cv+vTpw/bt22td5rnnniMyMhKAN954g4KCgnqpywsvvMCiRYvqZV0zZ86s9omTQgghxLVKa01cSi5vrUtk0ntbuOfD7fzl2wOsik1m38kcCkvKGrqK4iqp7yH1qsqH1pdQXvXKlXoAI1WEjh07Xkr9rqitW7fy7bffsnPnThwdHcnMzKS4uLjW5V566SXb32+88QbTp0+nZcuWl1WXmh6LLoQQQohLV1pmITrpNGsPpBEZl8aJ0+cA6O3XiqKCEv697RhFpRYA7EyKTp4tCfJxJ8jHje4+bvTwdad9K2dMJulG1pxcalCdppTy1VqnWFM4yp9jnQz4VZivA3DKWj68UvlGa3mHKuavktZ6KbAUjIe/XGLdr5iUlBTMZjOOjo4AmM1moqOjmTt3LqtXr2bNmjXcdddd5OTkYLFY6NmzJ0eOHGHmzJmMHz+eU6dOcerUKUaMGIHZbGb+/Pk899xzAJw7d47i4mKOHj1KbGwsCxYsID8/H7PZzPLly/H19WX48OFcf/31/PLLL0yYMOG8un3wwQcsXbqU4uJiunXrxr///W9atmzJzJkzcXd3JyYmhtTUVF577TUmTZqE1pp58+axfv16OnfuTFN9SJAQQghRH/KLSolKyGDtgTTWx6eTc66EFvYmhnYz8/Dwbozq0Za2bk4AlFk0SVlniU/J42BqLvGpeew9mcN3e1Ns63NpYUegj9t5wXaQjxutWrZoqF0Ul+lSg+pvgHuBV62/11Qon6uU+gyjU2KONfD+H/BKhc6JY4FntNanlVJ5SqnrgO3ADOCtS6xTgxs7diwvvfQSgYGBjB49mjvvvJMhQ4bw66+/ArBp0yZCQkLYsWMHpaWlDBo06LzlH330Uf7xj3+wYcMGzGYzgC04njJlCsOGDaOkpIR58+axZs0avLy8+Pzzz/nTn/7EsmXLAMjOzubnn38GjPSPcrfffjv3338/AM8++ywffvgh8+bNA4yLgc2bNxMfH8+ECROYNGkSX331FQcPHmTv3r2kpaXRs2dPZs+efeUOnhBCCNHIpOUWsvZAGmsPpLH1cBbFZRZatXRgVI+2jO3pTXiAFy6OF4ZSdiZFVy9Xunq5cnMvX1t5flEpCWl5HEzNIz7FCLZ/2JfCf6KP2+bxcXciyNfaou3jTncfN7p6udLCXkZBbuxqDaqVUv/BaGU2K6WSMUbxeBX4Qin1O+A4MNk6+/fATcAhoACYBWANnl8Gdljne0lrXd758SGMEUacgR+sP5ftxf/u58Cp3PpYlU3Pdu48f0twtdNdXV2JjY1l06ZNbNiwgTvvvJNXX32Vbt26ERcXR3R0NAsWLCAqKoqysjLCw8PrtN3XXnsNZ2dnHnnkEfbt28e+ffsYM2YMAGVlZfj6/vaBvfPOO6tcx759+3j22WfJzs4mPz+fcePG2abddtttmEwmevbsSVpaGgBRUVFMnToVOzs72rVrx8iRI+tUVyGEEKKp0lqTkJbP2gOprD2Qxu7kHAD8PVsyY7A/Y3p609+/NfZ2lxbgujra069ja/p1bG0r01qTlltEvLVF+2BqHvGpefxyKJOSMuMusb01SO/u40aQr5u1Zduddh5OyEjEjUetQbXWemo1k0ZVMa8GHqlmPcuAZVWUxwAhtdWjqbCzs2P48OEMHz6c0NBQPvroI8LDw/nhhx9wcHBg9OjRzJw5k7Kysjp1Ily3bh0rV64kKioKMD58wcHBbN26tcr5XVxcqiyfOXMmX3/9Nb1792b58uVs3LjRNq08XaV8/eXkgyqEEKK5Ky2zEHPsjK1F+vhpY7CA3n6teGpcd8b09CagresV+05USuHj4YSPhxPDu7e1lZeUWTiaeZZ4a6v2wdQ8Yo+d4Zvdv2XJujnZV0gd+S2NxM3J4YrUVdSsvjsqNho1tShfKQcPHsRkMhEQEADArl278Pf3JyIighkzZjBjxgy8vLzIysoiNTWV4OAL6+jm5kZeXh5ms5ljx47x8MMP8+OPP+Ls7AxA9+7dycjIYOvWrQwePJiSkhISEhKqXFdFeXl5+Pr6UlJSwooVK2jfvuZBViIiInj//feZMWMG6enpbNiwgbvvvvsSj4wQQgjReJytmB99MJ3sghJa2Jm4vpsnDw7rwuge3ni7OzVoHR3sTAR6uxHo7caE3u1s5bmFJSSk5hGXas3XTsljza+n+KTotxSS9q2cCbK2anf3caeHjxudzS6X3MIu6qbZBtUNIT8/n3nz5pGdnY29vT3dunVj6dKluLi4kJaWRkREBAC9evWibdu2VV71PvDAA9x44422jodZWVlMnDgRgHbt2vH999+zatUqHn30UXJycigtLeXxxx+vNah++eWXGTRoEP7+/oSGhpKXl1fj/BMnTmT9+vWEhoYSGBjIsGHDLvGoCCGEEA0vPbeQyLh01h5I5ZfDWRSXWvBwdmBUUFvG9PQmPNAL1yryoxsbdycHwjq1IaxTG1uZ1ppTOYW2PO14a8D9c0IGpRbjDnQLOxNd27rSo7xl29do2W7r5ih3puuJaqqjOoSFhemYmJjzyuLi4ujRo0cD1UjURM6NEEKIq0lrTWJ6vi2tY9eJbAD82jgzpocPY3p6M6DTpedHNwVFpWUcTj/LwTSjRbs8Zzs1t9A2T6uWDkardoX0kUBvtyo7YF6rlFKxWuuw2uaTIyaEEEKIZqG0zEJseX50XBrHsoz86F4dPHhiTCBjgr3p7u12zbTMOtrb0bOdOz3buUPf38qzC4ordIo0Wre/iDlBQfFvD6rx92xJd283axqJMQpJJ08X7GRs7WpJUC2EEEKIJquguJSohEzr+NFpnLHmRw/u6sn94UZ+tI9Hw+ZHNzatWrbgui6eXNfF01ZmsWiSz5w7bxSSuNRcIuPSsGaQ4Ghv5HmXj6kd5ONOkK8bZlfHarZ0bZGgWgghhBBNSnpeIevi0ll7II3NhzIpLrXg7mTPyKC2jOnpQ0SgWUbAuEgmk6KjZ0s6erZkbLCPrbywpIxD6fnEWUcgiU/NY+PBDFbFJtvmMbu2IMg6pnb5+NoB3q44Odg1xK40GAmqhRBCCNGoaa05nJHPTxXyo7U2Rrm4e2BHxvb0ZkDnNjg04/zohuLkYEdIew9C2nucV56ZX2QLsuNTcjmYlseK7ccoLDEez25S0MnTxRiBxNvdNr62X+uWzfbx7BJUCyGEEKLRKbNodh7/bfzoo5lnAQht78H80YGM6elNkM+1kx/d2JhdHTF3c2RIN7OtrMyiOZZ11po6YoxAcuBULj/sS6V8XIyWLewILM/Vtj7EJsjHjdYuTf/x7BJUCyGEEKJROFdcRlSidfzo+HROny3GwU5xXRdPZg/pxOie3vh6ODd0NUU17EyKLl6udPFy5cbQ3572XFBcSkJaPgdTc4lLMfK1/7c/lc92nLDN4+3uaBtTuzyNpFtbVxztm04KiQTV9SgpKYnx48ezb98+W9kLL7yAq6srTz75ZLXLxcTE8PHHH/Pmm2+yceNGWrRowfXXX39R2+7UqRMxMTGYzebzypctW8bixYtRSmGxWFi4cCG33nory5cvZ+zYsbRr166aNRrqOp8QQghxKTLzi1gXZ7RGb0rMpKjUgpstP9qbiEAv3CU/uklr2cKePn6t6OPXylamtSYjr+i3h9ik5hGfkse/DmdRXGakkNiZFF3MLkaetq87wwK9LkhDaUwkqG4EwsLCCAszhj/cuHEjrq6uFx1UVyU5OZmFCxeyc+dOPDw8yM/PJyMjAzCC5ZCQkDoF1XWZTwghhKirwxm/jR+98/gZW3701IEdGdPTm4GSH93sKaVo6+5EW3cnhgV62cpLyywkZZ21tWjHp+ay60Q23+5JAZCgWhiGDx/OoEGD2LBhA9nZ2Xz44YeEh4ezceNGFi1axNtvv82SJUuws7Pjk08+4a233iIoKIg5c+Zw/Ljx+NE33niDIUOGkJWVxdSpU8nIyGDgwIFU9RCf9PR03NzccHV1BcDV1RVXV1dWrVpFTEwM06ZNw9nZma1bt/L666/z3//+l3PnznH99dfz/vvv8+WXX14w34EDB1iwYAH5+fmYzWaWL1+Or68vb775JkuWLMHe3p6ePXvy2WefXdVjK4QQovEqs2h+rZAffcSaHx3czp3HRgUwpqc3PX3dJT9aYG9noltbN7q1deOW3r+V5xWW2Ib2a6wkqL7KSktLiY6O5vvvv+fFF18kMjLSNq1Tp07MmTPnvHSRu+++m/nz5zN06FCOHz/OuHHjiIuL48UXX2To0KE899xzfPfddyxduvSCbfXu3Rtvb286d+7MqFGjuP3227nllluYNGkSb7/9NosWLbK1kM+dO5fnnnsOgHvuuYdvv/32gvlKSkqYN28ea9aswcuBlBd8AAAgAElEQVTLi88//5w//elPLFu2jFdffZWjR4/i6OhIdnb2VTiSQgghGrNzxWVsPpTJ2gOprItLJ+tsMfYmxeCunswc0olRPbxp30ryo0XdNIUhEptvUP3DHyB1b/2u0ycUbny12snVXWFXLL/99tsB6N+/P0lJSbVuMjIykgMHDthe5+bmkpeXR1RUFKtXrwbg5ptvpnXr1hcsa2dnx48//siOHTtYt24d8+fPJzY2lhdeeOGCeTds2MBrr71GQUEBp0+fJjg4mFtuueW8eQ4ePMi+ffsYM2YMAGVlZfj6Gh0RevXqxbRp07jtttu47bbbat0vIYQQzU9WfpExfnRcGpsSMygsseDmaM9wa3708O6SHy2ar+YbVDcAT09Pzpw5c17Z6dOn6dy5s+21o6Px1CE7OztKS0trXafFYmHr1q04O194NV+X22RKKQYOHMjAgQMZM2YMs2bNuiCoLiws5OGHHyYmJgY/Pz9eeOEFCgsLL1iX1prg4GC2bt16wbTvvvuOqKgovvnmG15++WX279+Pvb28vYQQork7UiE/OtaaH93Ow4kpYX6M6enNoM6etLCX/GjR/DXfqKeGFuUrxdXVFV9fX9atW8eoUaM4ffo0P/74I4899lid1+Hm5kZubq7t9dixY3n77bd56qmnANi1axd9+vQhIiKCFStW8Oyzz/LDDz9cEMwDnDp1itTUVPr162db1t/f37advLw8AFsAbTabyc/PZ9WqVUyaNOmC+bp3705GRgZbt25l8ODBlJSUkJCQQI8ePThx4gQjRoxg6NChfPrpp+Tn59OqVavKVRJCCNHEWSyaX09kWwPpVA5nGPnRPX3deXSkkR8d3E7yo8W1p/kG1Q3k448/5pFHHuGJJ54A4Pnnn6dr1651Xr4853nNmjW89dZbvPnmmzzyyCP06tWL0tJSIiIiWLJkCc8//zxTp06lX79+DBs2jI4dO16wrpKSEp588klOnTqFk5MTXl5eLFmyBICZM2cyZ84cWwfE+++/n9DQUDp16sSAAQNs66g836pVq3j00UfJycmhtLSUxx9/nMDAQKZPn05OTg5aa+bPny8BtRBCNCOFJWVsTsxk7YE01sWnkZlv5EcP6tKGe67zZ3RPbzq0btnQ1RSiQamqRo1oCsLCwnRMTMx5ZXFxcfTo0aOBaiRqIudGCCGaltNni88bP/pcSRmujvYM6+7F2J7eDO/eFg9nyY8WzZ9SKlZrHVbbfNJSLYQQQggAkjLP2vKjY46dxqLBx92JSf07GPnRXdo0qSfcCXE1SVAthBBCXKMsFs2uZCM/OvJAGonp+QAE+bgxd0Q3xvT0IaS95EcLURcSVAshhBDXkMKSMrYcNvKjI+PSycgrws6kGNS5je2Jhn5tJD9aiIslQbUQQgjRzGltjNixMuYE3+5OIa+oFJcWdgzvbowfPaJ7WzxaSn60EJdDgmohhBCimUrPLWT1rydZGXOCwxlncXaw48ZQHyb0bsfgrp6SHy1EPZKgWgghhGhGikstrI9PY2VMMhsTMiizaPr7t+Zvd3ThplDfJvG4ZyGaIgmq65lSigULFvD3v/8dgEWLFpGfn1/lo8GFEEKI+nLgVC4rY0+wZtcpTp8txtvdkQciujCpfwe6erk2dPWEaPYkqK5njo6OrF69mmeeeQaz2XzRy5eWlsrjvYUQQtRJdkExa3adYmXsCfadzMXBTjGmpzeT+/sRHmDG3k4eDy7E1SKftnpmb2/PAw88wOLFiy+YduzYMUaNGkWvXr0YNWoUx48fB4ynFi5YsIARI0bw9NNPExoaSnZ2NlprPD09+fjjjwG45557iIyMJCkpifDwcPr160e/fv3YsmWLbfqaNWts25s2bRrffPPNVdhrIYQQV0uZRbPxYDqPrNjJwIXreP6b/Vgs8MItPYn+42jendafEUFtJaAW4iqTJtEroPyx4r///e/PK587dy4zZszg3nvvZdmyZTz66KN8/fXXACQkJBAZGYmdnR1z5szhl19+wd/fny5durBp0yZmzJjBtm3beO+99zCZTKxduxYnJycSExOZOnUqMTEx3HfffSxevJhbb72VnJwctmzZwkcffdQQh0AIIUQ9O5p5lpUxJ1i98ySpuYW0bunA3YM6MjmsA8HtPBq6ekJc85ptUP236L8Rfzq+XtcZ1CaIpwc+Xet87u7uzJgxgzfffBNnZ2db+datW1m9ejVgtCpXDLonT56MnZ3RCzs8PJyoqCj8/f156KGHWLp0KSdPnqRNmza4urqSk5PD3Llz2bVrF3Z2diQkJAAwbNgwHnnkEdLT01m9ejV33HGHpJIIIUQTll9Uyvd7UlgZe4IdSWcwKRgW6MXzt/RkZI+2MnqHEI2IRFxXyOOPP06/fv2YNWtWtfNUfEKVi4uL7e+IiAjeeecdjh8/zsKFC/nqq69YtWoV4eHhACxevBhvb292796NxWLBycnJtuw999zDihUr+Oyzz1i2bNkV2DMhhBBXktaa6KOn+SImmR/2pVBQXEYXLxeeviGI2/u1x9vdqfaVCCGuumYbVNelRflKatOmDVOmTOHDDz9k9uzZAFx//fV89tlntsB36NChVS7r5+dHZmYmxcXFdOnShaFDh7Jo0SLefvttAHJycujQoQMmk4mPPvqIsrIy27IzZ85k4MCB+Pj4EBwcfOV3VIhrlMWieezzXWTlFxEe4EVEoJkePu6YTPI4Z3FpTmWf48vYZFbtTOZYVgGujvZM6N2OyWEd6NextTwqXIhGrtkG1Y3BE088YQuEAd58801mz57N66+/jpeXF//617+qXXbQoEG2YDk8PJxnnnnGFoQ//PDD3HHHHaxcuZIRI0ac18rt7e1Njx49uO22267QXgkhAJb9cpT/7j6Fv2dL/vZjPH/7EcyuLRjazUx4gBfhgWbaukmLoqhZYUkZPx1IY2XMCTYfykRruK5LGx4bFcANIT60bCFf00I0FUpr3dB1uCRhYWE6JibmvLK4uDh69OjRQDVqHAoKCggNDWXnzp14eDSejitybkRzcig9j5ve3ExEgBcfzOhPel4RmxIz2ZSYwebETLLOFgMQ5ONGRKAX4QFmBnRqg5OD5L8KI71jT3IOK2NP8M2uU+QWltK+lTN39O/ApH4d6OjZsqGrKETjk7IbXNqCu+9V37RSKlZrHVbbfHIJ3IxERkYye/ZsFixY0KgCaiGak5IyCwu+2I1LCzteuT0EpRTe7k5M6t+BSf07YLFoDqTkEpWYwaaETP71y1GWRh3B0d7EoC6eRAQYLdmB3q5yO/8ak5lfxNe/nmRlTDIH0/JwtDdxQ4gPU8L8GNzFU1KHhKjMYoFDa2HLW5C0CYY8BmNeauhaVUuC6mZk9OjRtrGvhRBXxrsbDrMnOYd3p/WrMr3DZFKEtPcgpL0HDw/vRkFxKduPnCYqMYOohAz+8l0cEIe3u6ORJhJgZmg3M56ujld/Z8QVV1JmYePBDL6IOcGG+HRKLZo+fq1YODGE8b3a4eEsjwwX4gIlhbDnc9j6DmQeBLd2RjDd796GrlmNJKgWQog62ncyh7fWJ3Jrn3bcFFq3W5AtW9gzIqgtI4LaAnAy+xybEzOISsxk7YE0VsUmoxSEtPMg3NqK3d+/NS3s5cEdTVlCWh4rY07w1a8nycwvxuzqyOyhnZncvwMB3m4NXT0hGqezWRDzIUQvhbMZ4B0KE5dC8ESwb9HQtauVBNVCCFEHhSVlLPhiF21cWvDihEsfWad9K2fuHNCROwd0pMyi2Xsyh00JGWxKzGRp1BHe3XiYli3suK48VSTQiy5mF0kVaQJyzpXw392nWBmbzO4T2dibFCOD2jIlzI9h3b1wkCccClG1rMNGq/SuT6H0HHQbA9fPhc7DoAn975OgWggh6mDx2gQS0vL516wBtGpZPy0mdiZFH79W9PFrxbxRAeQVlrD1cJat0+P6+HTACMTDA8xEBHoxpKsZj5aSMtBYWCyaLYez+CLmBP/bn0pRqYUgHzeevbkHt/Vtj1nSeoSomtZwfJuRL33we7BzgF5TYPBcaNs0BzaQoFoIIWoRk3SapZuOMHVgR0Z0b3vFtuPm5MDYYB/GBvsAcDyrwOjwmJjBd3tS+GzHCUwKenVoRYQ1yO7t10paQBvA8awCVsWe4MudJzmZfQ53J3umhPkxOawDoe095M6CENUpK4W4b2Dr23AyFpxbQ/gTMPABcPNu6NpdFgmq65mrqyv5+fkNWoeZM2cyfvx4Jk2a1KD1EKI5OFtUyhMrd9OhtTN/uvnqtp509GzJdE9/pl/nT2mZhV0nsomytmK/veEQb64/hJujPYO7ehIe6MWwAC8Zju0KKigu5Ye9qXwRc4LtR0+jFIQHePGHG4MY09NbhkwUoiZFefDrJ7DtXcg+Dq07w02LoM/d0MKl9uWbAAmqRZ2VlZVhZydfGuLa8tcf4jh+uoDP7r8OV8eG+5dpb2cirFMbwjq1YcGYQHIKSvjlsBFgRyVk8tOBNAD8PVvaOjxe39UTNydJFbkcWmtij51hZUwy3+1NIb+oFH/Pljw5NpDb+3WgXSvnhq6iEI1b7inY/j7E/gsKc8DvOhj3CnS/CUzNK6aQe4ZXwcyZM1m1apXttaurKwBfffUVo0ePRmtNSkoKgYGBpKamUlZWxlNPPcWAAQPo1asX77//PgAbN25k2LBhTJkyhcDAQP7whz+wYsUKBg4cSGhoKIcPH7ZtIzIykvDwcAIDA/n2228BKCwsZNasWYSGhtK3b182bNgAwPLly5k7d65t2fHjx7Nx40ZbXZ977jkGDRrE1q1b+f777wkKCmLo0KE8+uijjB8//ooeOyEaUlRCBp9sO87vhnRmUBfPhq7OeTxaOnBTqC9/vb0Xm58ewfonhvHCLT3p5uXK6p0nefDfsfR5aS2Tl2zhzXWJ/Hr8DGWWpvmwr4aQllvIuxsPMervPzNpyVb+u+cUN4T48MWDg9n45HDmjgyQgFqImqTug6/mwBu9YMub0GU4/C4Sfvc/6HFLswuoQVqqG9TEiRP58ssveeedd/jxxx958cUX8fHxYenSpXh4eLBjxw6KiooYMmQIY8eOBWD37t3ExcXRpk0bunTpwn333Ud0dDT//Oc/eeutt3jjjTcASEpK4ueff+bw4cOMGDGCQ4cO8c477wCwd+9e4uPjGTt2LAkJCTXW8ezZs4SEhPDSSy9RWFhIQEAAUVFRdO7cmalTp17ZAyREA8o5V8LvV+2hW1tXnhzXvaGrUyOlFF28XOni5crMIZ0pLrWw8/gZoqyjiiyOTOAfaxPwcHawPkbdGFWkvQSF5ykqLWNdXDpfxJwgKiEDi4aBndowZ3hXbg71xaUB71QI0SRoDYfXwZa34cgGcHCBsNlw3UPQpnND1+6Ka7b/IVJfeYWiuPh6XadjjyB8/vjHel3nW2+9RUhICNddd50tSP3pp5/Ys2ePrXU7JyeHxMREWrRowYABA/D1NcbH7dq1qy3YDg0NtbU8A0yZMgWTyURAQABdunQhPj6ezZs3M2/ePACCgoLw9/evNai2s7PjjjvuACA+Pp4uXbrQubPxwZg6dSpLly6tx6MhROPx4jf7ycgvYumM/k0uV7aFvYnrunhyXRdPfn8DZOUX8cvhLDYlZBCVmMF3e1MA6OrlQniAFxGBZgZ19rxmg8Z9J3NYFZvM17tOkl1Qgo+7Ew8N78qk/n50NjePXE8hrqjSIti7yuh8mH4AXH1g1HPQfxa0bNPQtbtqrs3/oFeZvb09FosFMPLziouLbdNOnjyJyWQiLS0Ni8WCyWRCa81bb73FuHHjzlvPxo0bcXT8bXgmk8lke20ymSgtLbVNq9zzXCmF1lXf+q1YPzDSRMo5OTnZ8qirW16I5ubHfams/vUkj44KoFeHVg1dncvm6erIhN7tmNC7HVprEtPzba3Yn+04zvItSTjYKcL82xAeaCYiwIuevu7N+rHZp88Ws2bXSb6ISSYuJZcWdibGBHszJcyPod3M2DXjfRei3hSchphlxsNa8tOgbU+47T0IuQPsr73hJJttUF3fLcqXo1OnTsTGxjJlyhTWrFlDSUkJAKWlpcyaNYtPP/2Ujz/+mH/84x88+eSTjBs3jvfee4+RI0fi4OBAQkIC7du3v6htrly5knvvvZejR49y5MgRunfvTkREBCtWrGDkyJEkJCRw/PhxunfvTm5uLu+++y4Wi4WTJ08SHR1d5TqDgoI4cuQISUlJdOrUic8///yyj40QjU1mfhF/+movwe3cmTuiW0NXp94ppQj0diPQ2437wrtQWFJGTNIZo8NjYiav/XiQ1348iKdLC4ZaOzyGB5jxdr/wkexNTWmZhajEDFbGJBMZl0ZJmSa0vQcv3RrMhN7t6m38cSGavdNHYNt7xmgeJQXQZYQRTHcd2aQe1lLfmm1Q3VAKCgro0KGD7fWCBQu4//77ufXWWxk4cCCjRo3CxcW4nfjKK68QHh5OeHg4ffr0YcCAAdx8883cd999JCUl0a9fP7TWeHl58fXXX19UPbp3786wYcNIS0tjyZIlODk58fDDDzNnzhxCQ0Oxt7dn+fLlODo6MmTIEDp37kxoaCghISH069evynU6Ozvz7rvvcsMNN2A2mxk4cOClHyghGiGtNX/6ai95haV8en+fa+JR4U4OdgwNMDM0wMwzQHpuIZsPZdoeQLNm1ykAunu7ERFoBNkDO7dpUikxhzPyWRmTzOqdyaTnFdHGpQX3XNeJyWEd6OHr3tDVE6LpOBFtPKwl/ltQdhA6GQY/Aj4hDV2zRkE11Vv6YWFhOiYm5ryyuLg4evRomk/haSry8/NxdXVFa80jjzxCQEAA8+fPr3U5OTeiKfjq12Tmf76bZ24M4sFhXRu6Og3OYtHEpebaAuwdR89QXGahhb2JQZ3bEBHgRXigme7ebo3uYSd5hSV8tyeFL2JOsPN4NnYmxYjuXkzq78fIoLbXxAWTEPXCUgbx3xn50ie2g5OH0flw4IPg7tvQtbsqlFKxWuuw2uaTlmpxUT744AM++ugjiouL6du3Lw8++GBDV0mIepGSc47n1uwnzL8194V3aejqNAomkyK4nQfB7TyYM6wr54rL2HY0i00JRpC98Ps4+B7aujkyNMDMsEAvhnQzN9ijuS0WzbajWayKSeb7fSkUlljo1taVZ24MYmK/9rR1a/opLEJcNcVnYdensPUdOHMUWvnDja9Bn2ng6NrQtWuUpKVaXBVybkRjprVmxrJoYpLO8MNj4XSSER/qJCXnHJsSMolKzGDzoUyyC4z+IsHt3G2jivT3b42j/ZVNFUk+U8CXsSdZtfMEJ06fw83RnvG92zElrAN9/Fo1ulZ0IRq1vDSj42HMh3DuDLQPg+vnNduxpetCWqqFEKKOVmw/zqbETF6+LUQC6ovg6+HMlAF+TBngR5lFs/9UDlEJRofH/9t0hCU/H8bZwY7rurSxBtledPVyqZcgt7CkjB/3pbIy9gRbDmehNQzp5skTY7ozLtgH5xbX5pe/EJcsPc4YX3rvF1BWAkE3G8G036BruvPhxZCgWghxTTuWdZZXvo8jPMDM9EEdG7o6TZadSdGrQyt6dWjF3JEB5BeVsu1wFlGJxtB9Gw4eAKCdh5MxokigmaHdzBc14obWml0nslkZm8x/d58ir7CUDq2deXxUIHf0b0+H1i2v1O4J0TxpDUc2GvnShyLB3hn6zYDrHgZP6VdysSSoFkJcs8osmie+2I2dSfHapF6SJlCPXB3tGd3Tm9E9vQE4cbrA1uHx+30pfB5zAqWgV4dWRFiH7uvbsRUOdhd2IEzPK+TrX0+yMiaZxPR8nBxM3BTiy6SwDlzX2bNZj6ctxBVRWgz7Vxst02l7waUtjHgWBvzumnpYS32ToFoIcc36cPMRYo6d4R9TeuPrIY/svpL82rTk7kEduXtQR0rLLOxOzmGTtRX7nQ2HeGv9IVwd7Rnc1ZOIADPXdzNzKD2flTEn2HAwgzKLpl/HVvz19lDG9/LFzcmhoXdJiKbnXDbELoft70PeKfAKgglvQegUcJCOvJdLgup6tnDhQj799FPs7OwwmUy8//77DBo0qF7W7erqSn5+fr2sS4hrXUJaHov+l8DYnt5M7HtxD1cSl8fezkR//9b092/N46MDyTlXwtbDmUQlZhKVkMHaA2m2edu6OXJ/eBcm9e9At7Yy4oAQl+TMMdi+BHZ+DMX50DkCJrwJXUeBSYaXrC8SVNejrVu38u2337Jz504cHR3JzMw875HkQojGoaTMwoIvduHmZM8rt4dK2kcD83B24IYQX24I8UVrTVJWAVsOZ+Lr4UREgBf2VaSECCHq4GSskeJx4GtQJuPx4YMfAd/eDV2zZkn+U9WjlJQUzGYzjo7GGK1ms5nk5GRuv/12ANasWYOzszPFxcUUFhbSpYsxFu7hw4e54YYb6N+/P+Hh4cTHxwNw9OhRBg8ezIABA/jzn/983rZef/11BgwYQK9evXj++ecBSEpKokePHtx///0EBwczduxYzp07d7V2X4gm4+31h9h3MpeFE0MabExlUTWlFJ3NLkwb5M/IIG8JqIW4WBYLxH8Py26ED0YaHRAHz4XH9sDtSyWgvoKkpboejR07lpdeeonAwEBGjx7NnXfeyZAhQ/j1118B2LRpEyEhIezYsYPS0lJbWsgDDzzAkiVLCAgIYPv27Tz88MOsX7+exx57jIceeogZM2bwzjvv2Lbz008/kZiYSHR0NFprJkyYQFRUFB07diQxMZH//Oc/fPDBB0yZMoUvv/yS6dOnN8jxEKIx2pOczdsbDjGxb3tuCLk2ngYmrm1aa47mHiU6JZro1Ghi02IB8HXxxdfFFx8XH3xcfGyvfV19aePUBpOSC5ompeSc8bCWbe9C1iHw8INxf4V+94CjW0PX7prQbIPqTV8kkHmifvOPzX6uhE8JrHa6q6srsbGxbNq0iQ0bNnDnnXfy6quv0q1bN+Li4oiOjmbBggVERUVRVlZGeHg4+fn5bNmyhcmTJ9vWU1RUBMAvv/zCl19+CcA999zD008/DRhB9U8//UTfvn0B49HhiYmJdOzYkc6dO9OnTx8A+vfvT1JSUr0eAyGassKSMhZ8sRsvV0demBDc0NUR4orQWpOcn8yO1B1sT9lOdGo0mecyASOQHtp+KC3sWpByNoWjOUfZcmoLBaUF563DweSAd0tvfF2rDrx9XHxwcZAx3RuF/AzY8QHs+D8oyIJ2fWHSMuhxK9g12zCvUZKjXc/s7OwYPnw4w4cPJzQ0lI8++ojw8HB++OEHHBwcGD16NDNnzqSsrIxFixZhsVho1aoVu3btqnJ9VeV6aq155plnLnhEeFJSki31pLwukv4hxG8W/e8gh9Lz+Xj2QDycZfQI0Xyknk1lR+oOolOjiU6J5tTZUwCYnc0M9Blo/PgOpINrhwu+V7TW5Bbnkno2ldSzqaScTbH9pJ1NY0fqDtIL0inTZect59bCrfrWbhdfvFp6YW+SMOOKyUgwxpfe/RmUFUH3m4w0D//r5WEtDaTZvttralG+Ug4ePIjJZCIgIACAXbt24e/vT0REBDNmzGDGjBl4eXmRlZVFamoqwcHBRv5g586sXLmSyZMno7Vmz5499O7dmyFDhvDZZ58xffp0VqxYYdvOuHHj+POf/8y0adNwdXXl5MmTODhIgCBETbYfyeLDX44ybVBHIgK9Gro6QlyWrHNZ7EjbQXRKNDtSd5CUmwSAh6MHA30GMitkFgN9BtLZo3OtHXGVUng4euDh6EH3Nt2rnKfUUkrmuczzg+78FCMQL0hlV8YucopyzlvGpEx4OXv9Fni7+uDT0seWYuLr4ot7C3fpKHwxtIakzbDlLUj8H9g7QZ+7jc6H5oCGrt01r9kG1Q0hPz+fefPmkZ2djb29Pd26dWPp0qW4uLiQlpZGREQEAL169aJt27a2fyQrVqzgoYce4i9/+QslJSXcdddd9O7dm3/+85/cfffd/POf/+SOO+6wbWfs2LHExcUxePBgwEg7+eSTT7Czk8fyClGV/KJSnly1G7/WLfnjTT0aujpCXLScohxi02KJTo1me8p2DmUfAsDVwZX+3v2ZHDiZQb6DCGgdcEVyoe1N9rbW6D70qXKegpKCKlu7U8+msj9rP5HHIymxlJy3jLO98wVpJRVfe7t442gnnYkpK4H9X8PWtyBlN7Q0w/BnYMB94GJu6NoJK6W1bug6XJKwsDAdExNzXllcXBw9esgXZmMk50Y0pGdW7+WzHcf54sHBDOgkTwsTjd/ZkrPsTNtppHOkRhOXFYdG42TnRD/vfraUjh6ePZpMioVFWzhdePqCwDv1bKrR6l2Qasv9rqiNU5vzgu6Kv5t9p8rCXNj5EWxbArnJ4BlgtEr3vgsc5IFVV4tSKlZrHVbbfE3jkyiEEJdo48F0/hN9nAciukhALRqtwtJCdmfstnUs3J+5n1JdioPJgd5evXmoz0MM8hlEqDkUB7umme5nUibMzmbMzmZCzCFVzlNcVkza2bTzA27r7yM5R/jl1C+cKz2/r1Cz7FSZkwzb3jMe1lKUC/5D4ea/Q8BYeVhLIyZBtRCi2copKOHpL/cQ6O3KgjFXv5+FENUpKSthb+ZeW0v07vTdFFuKsVN2hJhDjJxo34H08eqDk/218/joFnYt8HP3w8/dr8rpFTtVVhV4R6dGk1GQcUGnSvcW7he0clcMvBtNp8pTu4zOh/tWG6+DJ8L1c40RPUSj1wjeQUIIcWU8980+svKL+b8ZA3BykD4HouGUWcqIOx3H9pTt7Ejdwc70nZwrPYdCEdQmiLt73M0AnwH09+7f9FpVr6KL6VRp60xZkGrrVJlyNoVf038ltzj3vGVMykTblm1tHSl9XK2/W/pc+U6VFgscWmt0PkzaBC3c4LqHYNAcaFX1xYVonCSoFkI0S9/vTePNDK0AACAASURBVGHNrlM8PjqA0A4eDV0dcY2xaAuJZxJtQ9zFpsWSV5IHQLdW3ZjYbSIDfQcS5h2Gh6O8P+tTxU6VfdtW3cJb3qmycofK1LOp7MvaV+dOlRV/X3SnypJC2PO50TKdmQDu7WHMy9D/XnCS90RTJEG1EKLZycgr4k9f7SW0/f+zd9/xOd7dA8c/V/YOiRFEEjGDDJFEhNrEplY91KjRolW0paq0UbTa6qOoUbPaUr9WS7WqRkmt2GLGTggiIiSy5/X744pEHjvrzjjv18tLXPPcScTxvc91jjVvtq6l63BEGfBgauHhiMMcvKWtRsekxADgaOWIfw1/mtg1wcvOiwqm0q1B18wMzXAu54xzOefH7n/4ocoHK94RCRFEJkYSER/B+bvniU6OfuS8CqYVeNfrXbo6d33yzROitUEth5dBQhTYuUGv5dCgJ5TQenmhkaRaCFGqqKrKB7+dIiE1g//2c8dQXx7qEYXjetz17JroQxGHiEqKAsDO3I6W9i3xqaJ16LAzt9NxpOJFPc9DlSkZKdxOuJ1rtXvntZ3MCJpB40qNqWJRJfcJdy7BgYUQ/BOkJ2kPHfqNBaeXZFhLKSFJdQHT19fH1dWVtLQ0DAwMGDJkCOPHj0evmDyta2FhQXx8wY5vF6I4+fXYDXaERPJhZxdqV7bUdTiiFIlMiMxOog/fOsyN+BsA2JrY4lPFhyZ2TfCx88He8tGphaL0MdY3fuShyq7OXem1qRczD87kmzbfoABcC4L938D5v7SVaPf+4PsmVKqns9hF4ZCkuoCZmppmjxy/ffs2AwYMIDY2lunTp+s0LlVVKak9yYV4Xjdikpi+6Qw+TjYMa15D1+GIEu7B1MLDEdr474enFnpX9mZIgyE0sWvyXFMLRdlgb2nPmx5vMufIHLbumUHH84Fw4yiY2kCLieAzEiwq6TpMUUgkqS5ElSpVYunSpXh7exMQEEBmZiaTJ08mMDCQlJQU3nzzTd544w0CAwMJCAigQoUKnD59msaNG/Pjjz+iKApOTk4MGDCAXbt2kZaWxtKlS/nggw+4dOkSEydOZNSoUcTHx9OjRw/u3btHWloaM2fOpEePHoSFhdGpUydat25NUFAQGzduzI7tzp07dOvWjalTp9KlSxcdfpaEKBiZmSqT1p8gQ1WZ09cdfT1JcsSLuZ96nyO3jmSvRl+8dxEAc0NzvCp70adOH5pUaUKd8nVK77ARkT8pcQy8H8+WdPjs0jp8k40p1+UrcB8ARma6jk4UMkmqC5mzszOZmZncvn2b33//HWtraw4fPkxKSgrNmjWjQ4cOABw/fpwzZ85QtWpVmjVrxr59+2jevDkA1atXJygoiAkTJjB06FD27dtHcnIyDRo0YNSoUZiYmLBhwwasrKy4c+cOvr6+dO/eHYDz58+zatUqFi1alB1TZGQk3bt3Z+bMmbRv377oPylCFIIfD15l36VoZr3cEAdb+cdLPFtiWiLHbh/jUMQhDt46yLm758hUMzHRN6FRpUZ09uyMj50P9W3rF48exqL4unUajq6Ckz9jkHKf6Q5evKJ/hzmNOjPTe4SuoxNFpNT+lNj13VJuX71SoNes5OhM66Gvv/B5D8outm3bxsmTJ1m/fj0AsbGxXLx4ESMjI3x8fLC3twfAw8ODsLCw7KT6QYLs6upKfHw8lpaWWFpaYmJiQkxMDObm5kyZMoXdu3ejp6fHjRs3iIyMBMDR0RFfX9/sWNLS0mjbti0LFy6kZcuWef9kCFGMhN5J4NO/QmhZpyIDfBx0HY4oph5MLXzwYOHpO6ezpxa6VXRjlNsofKr44FrBFSN9I12HK4q71EQ4s0FLpq8fBn1jbViLz0jq2nsx9OjXrDi9gi7OXWlatamuoxVFIF9JtaIo44CRgAIsU1X1a0VRbID/A5yAMKCfqqr3FK3gbB7QGUgEhqqqeizrOkOAqVmXnamq6ur8xFWcXLlyBX19fSpVqoSqqixYsAB/f/9cxwQGBmJsnNPbUl9fn/T09Ow/P9inp6eX6zg9PT3S09NZs2YNUVFRHD16FENDQ5ycnEhOTgbA3Dz3EAEDAwMaN27M1q1bJakWpUJGpsq7PwdjpK/H573dpLZVZEvLSON09OnsgSvBt4OzpxY2qNCAoQ2H4mPng0clD0wNTHUdrigpIs/C0e/gxDpIiYUKdcD/M+0BRDOb7MNGuY9i+9XtfBL0Cb/1+E2+x8qAPCfViqI0REuofYBU4G9FUTZnbftHVdXZiqJMBiYD7wOdgNpZv5oAi4EmWUn4x4AXoAJHFUXZpKrqvby/LPK0olzQoqKiGDVqFG+99RaKouDv78/ixYtp06YNhoaGXLhwgWrVquX7PrGxsVSqVAlDQ0N27drF1atXn3isoiisXLmSvn37Mnv2bCZPnpzv+wuhS0t3X+HYtRi+fsUDO+uyM85ZPCojM4Nzd89x8NZBDkUcemRq4X/q/QefKj54VvLEwshC1+GKkiQtCc5s1Falww+CvhHU7wGNXwNHv8e2xDMxMOHjph8zfNtwFp9YzDuN39FB4KIo5Wel2gU4oKpqIoCiKP8CLwM9gFZZx6wGAtGS6h7A96pWC3FAUZRyiqJUyTp2u6qqd7Ousx3oCPyUj9h0JikpCQ8Pj+yWeoMGDeKdd7S/SCNGjCAsLAxPT09UVaVixYq5Hh7Mq4EDB9KtWze8vLzw8PCgXr2nt+nR19dn3bp1dOvWDSsrK8aMGZPvGITQhXO37jN3+wU6NbSjh0dVXYcjitiDqYWHb2kDV47eyplaWNO6Jj1r9cweuCJTC0WeRJ2HI6vgxE+QHAO2taDDTO3BQ3PbZ57uU8WHXrV78f2Z7+no1JH6tvWLIGihK0pe26wpiuIC/A40BZKAf4AjwCBVVcs9dNw9VVXLK4ryJzBbVdW9Wdv/QUu2WwEmqqrOzNo+DUhSVXXO0+7v5eWlHjlyJNe2kJAQXFxc8vR6ROGSr40oaKnpmfRYuI+ouGS2jm+BrcULjAcWJZKqqoTdD+NQRE6v6Hsp2puaDpYOeNt506RKE7ztvGVqoci7tGQI2aQl09f2g54huHQDr9fyNKglNiWWHht7UMmsEmu7rJWHXksgRVGOqqrq9azj8vyVVVU1RFGUz4HtQDxwAkh/yimP+y5Un7L90QsoyuvA6wAODvIwkhBl2YKdFwmJuM/SQY0loS7FbsTfyO7OcTjiMLeTbgPa1MKX7F/Cx06bWvjI9DohXlTUhaxa6bWQdA9snKH9J+AxEMzz/p80a2NrPmjyAe/9+x4/nv2RoQ2HFljIonjJ13+XVFVdAawAUBTlU+A6EKkoShVVVSOyyjtuZx1+Haj+0On2wM2s7a3+Z3vgE+63FFgK2kp1fmIXQpRcweExLAq8TG9Pezo0kBHQJUmmmklcahz3U+9rv1K037O3Zf05NiWWM9FnsqcW2pjYaBMLs0Z/V7esLg+livxLT4GQP7RV6at7Qc8A6nXNWpVuAQU0DbmDYwdaVW/FwuCFtHVsS3XL6s8+SZQ4+e3+UUlV1duKojgAvdBKQWoAQ4DZWb//nnX4JuAtRVHWoT2oGJuVeG8FPlUUpXzWcR2AD/ITlxCi9EpOy+Cdn4OpbGnMx92lPlEX0jPTcyXBuZLkhxLjRz5OvU98ajzq49+MBMBAMcDK2AorIyvq2dRjcP3BNKnSBGdrZ0miRcGJvqw9dBi8FhKjobwTtP0YGr1aKBMPFUXhwyYf0vP3nnwS9AlL2y+V7+dSKL+FPb8qimILpAFvZrXOmw38rCjKcOAa0Dfr2L/Q2uldQmup9xqAqqp3FUWZARzOOu6TBw8tCiHE//ri7/NciUrgx+FNsDIx1HU4JVZaRhqxqbGPrBD/78eP25+QlvDUaxvpGWUnxlZGVlQ0q0jNcjWxNLLM3vbw/oc/NjUwlWRDFI70VDj3h1biEbpbW5Wu21lbla7RqsBWpZ/EztyO8Z7jmXVwFpsub6JHrR6Fej9R9PJb/vHSY7ZFA20fs10F3nzCdVYCK/MTixCi9Au6HM3KfaEMbupI89ryIFpKRsqTV4X/Z4X4fxPlpPSkp17b1MA0VxJcxbwKdW3qPjEptjS0zN5mYiCtDUUxcveKlkgfXwOJd6CcA7SZpq1KWxZt+Vi/uv3YfGUzXx75kubVmmNr+uwOIqLkkEdQhRAlQlxyGu/9cgInWzMmd3p628iSQlVVktKTnnuF+H8/Ts1Mfer1zQzMciW/DpYOjybDT1g9lomCokTLSINzm7USjyuBoOhD3U5aX+mabQp9VfpJ9BQ9AvwC6PtHXz4//DlftPhCJ3GIwiFJdSHYsGEDvXr1IiQk5Jk9ox9n48aN1KlTh/r1X6xe9LvvvuPIkSN88803LFmyBDMzMwYPHvzC9xeiOJq1OYSI2CR+GdUUM6Pi86NLVVUS0hJyJbsP1xjHpsTmWjGOS8ldf5ye+bSmSeRaAbYysqJmuZpYGT05GX7wsaWRpbTuEmXPvTA4uhqO/wgJt8G6OrT+EBoNAqvi0SGmZrmajHQdyaITi+jq3JUW9i10HZIoIPITtxD89NNPNG/enHXr1hEQEPDC52/cuJGuXbs+NqlOT0/HwODZX7ZRo0a98H2FKK52notk3eFwRrWsSWNHm2efUARiU2IZv2s8x28fJ0PNeOJxeopergTY0sgSO3O7J9YUWxlbYWWo/W5haIG+nn4RviohSqCMNDi/RVuVvrxL6yNdp6O2Kl2rLRTDv0PDXYezNWwrMw7MYGOPjZgbmus6JFEAJKkuYPHx8ezbt49du3bRvXt3AgICCAwMZM6cOfz5558AvPXWW3h5eTF06FAmT57Mpk2bMDAwoEOHDvTq1YtNmzbx77//MnPmTH799VeGDx+On58f+/bto3v37tSpU4eZM2eSmpqKra0ta9asoXLlyrniCAgIwMLCgvfee49ly5axdOlSUlNTqVWrFj/88ANmZma6+PQI8cLuJaTy/q+nqFvZkgnta+s6HABikmMYuX0kl2MuM6j+IGxNbJ9YSmFuaI6eopu3moUo1WKu5axKx98Cq2rQarK2Km1dTdfRPZWRvhEBfgEM3jKYBccXMNlnsq5DEgVAkuoCtnHjRjp27EidOnWwsbHh2LFjTzz27t27bNiwgXPnzqEoCjExMZQrV47u3bvTtWtX+vTpk31sTEwM//77LwD37t3jwIEDKIrC8uXL+eKLL/jqq6+eeJ9evXoxcuRIAKZOncqKFSsYO3ZsAb1iIQrXR5vOcC8hlVVDvTE20P2K093ku4zcNpKw2DDmt5lP82rNdR2SEGVHRjpc3Kr1lb60Q1uVrtUevL7WftcvOWmNRyUPXqn7CmtD1tKpRifcK7rrOiSRTyXnu+8FxfxxmdSbT2/79KKMqppTrlvNpx7z008/MX78eAD69+/PTz/9RJcuXR57rJWVFSYmJowYMYIuXbrQtWvXJ173lVdeyf74+vXrvPLKK0RERJCamkqNGjWeGtPp06eZOnUqMTExxMfH4+/v/9TjhSgu/jx5kz9O3OTd9nVoWM1a1+FwJ+kOI7eNJDwunAVtF+BX1U/XIQlRNsSEw7Hv4fgPEBcBllWg5SRtVbpcyR2kMs5zHLvCdxGwP4Cfu/6Mob60CS3JSm1SrQvR0dHs3LmT06dPoygKGRkZKIpC9+7dyczMzD4uOTkZAAMDAw4dOsQ///zDunXr+Oabb9i5c+djr21unlNvNXbsWN555x26d+9OYGDgM+u2hw4dysaNG3F3d+e7774jMDAw369ViMJ2+34yUzeext3emtGtnv6f2aIQlRjFiG0juBl/k4VtF9KkShNdhyRE6ZaZARe3Za1KbwdVhVrtoMtXUNu/RK1KP4mFkQVTfacydudYVp5eyRvub+g6JJEPJf878gmetaJcGNavX8/gwYP59ttvs7e1bNkSgLNnz5KSkkJycjL//PMPzZs3Jz4+nsTERDp37oyvry+1atUCwNLSkri4uCfeJzY2lmrVtHqx1atXPzOuuLg4qlSpQlpaGmvWrMk+V4jiSlVVPvjtFEmpGXzVzwMDfd3WJEcmRDJi2wgiEyNZ1G4R3nbeOo1HiFIt9oa2In3se7h/AywqQ/N3wHMwlHfUdXQFrlX1Vvg7+fPtyW9p79QeZ2tnXYck8qjUJtW68NNPPzF5cu6HDXr37s3atWvp168fbm5u1K5dm0aNGgFastujRw+Sk5NRVZW5c+cCWtnIyJEjmT9/PuvXr3/kPgEBAfTt25dq1arh6+tLaGjoU+OaMWMGTZo0wdHREVdX16cm7EIUB78cuc4/524zrWt9alWy0GkstxJuMXzrcO4k3WFxu8U0rtxYp/EIUSplZmg10ke/gwt/g5qp9ZPuOFvrL13KyyIm+0wm6GYQ0/dPZ1XHVfJwcwmlaIMOSx4vLy/1yJEjubaFhITg4uKio4jE08jXRjyv8LuJdJq3h4bVrFg7whc9Pd2NrI6Ij2DY1mHcS7nHknZL8KjkobNYhCiV7kfkrErHhoN5RW3SoecQsHn680KlzYaLG/ho/0dM851Gv7r9dB2OeIiiKEdVVfV61nGyUi2EKDYyM1UmrT+Jqqp82cddpwn1jfgbDN86nPsp91nafiluFd10FosQpUpmhtZP+ugqrb+0mgHOraDDTKjbGQzK5jTPnrV6svnKZuYenUur6q2oZFZJ1yGJFyTvLwghio3VQWEEXYlmWtf6VLfRXS/18LhwXvv7Ne6n3mdZh2WSUAtREOJuwe4vYZ4HrOkN1w6A31sw9hgM/h0a9CyzCTWAoih81PQj0jLT+PTgp7oOR+SBrFQLIYqFy1HxzN5yjjb1KvGKt+5aZF27f41hW4eRnJHM8g7LqW/76GRTIcRzysyEKw+tSmemg9NL0D4A6nUFA2NdR1isOFg5MNp9NF8f+5odV3fQzrGdrkMSL0CSaiGEzqVnZPLuzycwMdRndi9XFEU3ZR9hsWEM3zqc1MxUVnRYQV2bujqJQ4gSL/62Nunw2Gq4FwamNuA7GjyHQoVauo6uWBvcYDB/h/3Npwc/xaeKD1ZGVroOSTwnKf8QQujct7uvEBwew4yeDalkZaKTGK7EXuG1ra+Rrqazwl8SaiFeWGamViv982D4rwv8Mx2s7KH3Cnj3nFYzLQn1MxnqGRLgF0B0cjRzj87VdTjiBchKtRBCp87evM/XOy7Qxa0K3d2r6iSGS/cuMWLbCABW+q+kZjndD5sRosSIj4LgNdqq9N0rYFoefN6AxkOhYh1dR1ciNbBtwCCXQaw+u5ouNbrgZffMxhOiGJCV6gJmYfHiPXWdnJy4c+eOzu4vhK6kpGfwzs/BWJsaMbNHQ53EcOHeBYZvG46eosfKjpJQC/FcVBVCd8Mvr2mr0js+Bgs7eHkpvHMOOn4qCXU+jfEYQzWLakwPmk5KRoquwxHPQVaqi0BGRgb6+vq6DkOIYmfejoucuxXHiiFelDcv+qf+z989z4htIzDSM2KF/wqcrJ2KPAYhSpSEaDixVhvSEn0JTKzBe4S2Kl2pnq6jK1XMDM34yPcj3tjxBt+e+Ja3Pd/WdUjiGWSlupAEBgbSunVrBgwYgKurKwA//vgjPj4+eHh48MYbb5CRkfHIeT179qRx48Y0aNCApUuXZm+3sLDgww8/xN3dHV9fXyIjIwEIDQ2ladOmeHt7M23atKJ5cUIUgKNX77Hk38v087KnrUvlIr//2eizDN82HGN9Y1Z1XCUJtRBPoqoQthfWD4f/1oNtU8HMFnougXfPQ6fZklAXEr9qfnSv2Z1Vp1dx4d4FXYcjnkGS6kJ06NAhZs2axdmzZwkJCeH//u//2LdvH8HBwejr67NmzZpHzlm5ciVHjx7lyJEjzJ8/n+joaAASEhLw9fXlxIkTtGjRgmXLlgEwbtw4Ro8ezeHDh7GzsyvS1ydEXiWlZvDeLyeoYm3KtK5F37LuzJ0zjNg2AjMDM1Z1XIWDlUORxyBEsZd4F4IWwkIf+K4LXNyurUiPDoLh28DjP2BoqusoS733vN7D0siSgP0BZGQ+uhgnio9SW/6xZcsWbt26VaDXtLOzo1OnTs99vI+PDzVqaGNW//nnH44ePYq3tzcASUlJVKr06LSk+fPns2HDBgDCw8O5ePEitra2GBkZ0bVrVwAaN27M9u3bAdi3bx+//vorAIMGDeL999/P+wsUooh8/vc5Qu8ksHZkEyxNDIv03iejTjJq+yisjK1Y4b+CahbVivT+QhRrqqoNZTm6Cs5shIwUqOYFPRZCg15gpLuhTGVVeZPyvO/zPpP3TGbd+XUMdBmo65DEE5TapLo4MDc3z/5YVVWGDBnCZ5999sTjAwMD2bFjB0FBQZiZmdGqVSuSk5MBMDQ0zO7dq6+vT3p6evZ5uurpK0Re7Lt0h+/2hzHUzwm/mhWK9N7Bt4MZtWMU5Y3Ls9J/JVUsqhTp/YUotpLuwYl1Wq101DkwsgTPQdrKtJ2rrqMr8zrX6MyfV/5k3rF5tK7emqoWuumUJJ6u1CbVL7KiXBTatm1Ljx49mDBhApUqVeLu3bvExcXh6OiYfUxsbCzly5fHzMyMc+fOceDAgWdet1mzZqxbt45XX331seUkQhQn95PTmLT+JM4VzHm/Y9HWYB6LPMboHaOpYFqBFf4rsDOXcilRxqkqhB/KWpXeAOnJUNUTui+Ahr3ByPzZ1xBFQlEUpvlOo+fvPZlxYAaL2i6SBbViSGqqi0j9+vWZOXMmHTp0wM3Njfbt2xMREZHrmI4dO5Keno6bmxvTpk3D19f3mdedN28eCxcuxNvbm9jY2MIKX4gCMeOPs0TEJjGnnzumRkXXEefwrcOM2jGKSmaVWNVxlSTUomxLugcHl8JiP1jZAUL+APf/wBu74fVd4DlYEupiqKpFVd5u9DZ7b+xlS+gWXYcjHkNRVVXXMeSJl5eXeuTIkVzbQkJCcHFx0VFE4mnkayN2nI1kxPdHeLN1TSb6F90q9cGIg7z1z1tUtajK8g7LqWhWscjuLYTOxUfBrRMQcRJundR+v3sFUKGKOzR+DVz7gLGlriMVzyEjM4NBWwZxI/4Gv/f4nXIm5XQdUpmgKMpRVVWfOYGn1JZ/CCGKj7sJqUz+7RT17CwZ17boBkLsv7mft3e+TXXL6izrsIwKpkVbwy1EkVFViLmaO3m+dRLiHnpHtJwD2LmBe3+o1Q6qeeouXpEn+nr6fNz0Y/r/2Z8vj3zJrOazdB2SeIgk1UKIQqWqKtM2niY2KZUfhvtgZFA0VWd7b+xl3M5xOFo7srzDcmxMbIrkvkIUuox0uHP+fxLoU5CSVQKo6EOFOlCjhZZEV3HTHjY0La/buEWBqGtTl9cavsayU8vo4twFv6p+ug5JZJGkWghRqDaduMnmUxFM9K+LSxWrIrnn7uu7Gb9rPDXL1WRp+6WUN5FkQpRQqYkQeSZ3CUfkWa3VHYCBCVRuAA17ZSXP7lC5vvSPLuXecH+D7Ve380nQJ/zW/TfMDKXVYXEgSbUQotBE3k/mo9/P0MihHG+0cC6SewaGBzIhcAK1y9VmWYdlWBtbF8l9hci3xLu5SzciTkL0RVAztf0m5bTE2WekVg9t5wa2tUBf/ikva4z1jfmo6UcM2zqMxScW867Xu7oOSSBJtRCikKiqyvu/niQlPYOv+rpjoF/4ZR//XP2H93a/R73y9VjSfokk1KJ4UlWIvZ67dOPWSYgNzznGqpqWNDfomVPCYV0dpI2ayOJt502fOn34/uz3dKzRkQa2DXQdUpknSbUQolCsOxxO4PkoArrVx7miRaHfb1vYNt7f/T71K9RnSbslWBpJNwNRDGRmQPSlrOT5RE4SnXQ36wBFW22u7gPeI3JKOMxtdRq2KBkmNJ7Av+H/ErA/gLVd1mKoV7QTakVuklQXMEVReOedd/jqq68AmDNnDvHx8QQEBDzxnMDAQIyMjPDz0x42GDp0KF27dqVPnz55jsPJyYkjR45QoUL+ux1YWFgQHx+f7+uIsiP8biIz/zyLX01bBjd1KvT7/R36N5P3TMa1giuL2y3Gwqjwk3ghHpGWDLfP5i7hiDwDaYnafn0jqFQfXLpqq892blo9tLF8v4q8sTKyYkqTKUwInMAPZ39gWMNhug6pTJOkuoAZGxvz22+/8cEHHzx3QhsYGIiFhUV2Up0fqqpSUnuPi9IhM1PlvV9OoCgKX/RxQ0+vcN+u3nxlM1P2TsGjogeL2i3C3FCGVogikBQDkadz1z9HnQM1Q9tvbKV13PAckrX67AYV64K+rCSKgtXOsR1tqrdhUfAi2jm0w8HKQdchlVkyUbGAGRgY8PrrrzN37txH9kVFRdG7d2+8vb3x9vZm3759hIWFsWTJEubOnYuHhwd79uwBYPfu3fj5+eHs7Mz69euzr/Hll1/i7e2Nm5sbH3/8MQBhYWG4uLgwZswYPD09CQ8Pz3Xfnj170rhxYxo0aMDSpUuzt1tYWPDhhx/i7u6Or68vkZGRAISGhtK0aVO8vb2ZNm1a9vERERG0aNECDw8PGjZsmB2rEA9buS+Ug6F3+ahbfezLF+4T6Zsub2LK3ik0rtyYxe0WS0ItCp6qwv0IuLAV/v0S/u9V+NoNPneE77rA1g/g8k6wqgrNx0Pf1fD2cXj/Krz2F3SaDR4DwK6hJNSi0ExpMgVDPUM+CfpEFtZ0SFaqC8Gbb76Jm5sbkyZNyrV93LhxTJgwgebNm3Pt2jX8/f0JCQlh1KhRWFhY8N577wGwYsUKIiIi2Lt3L+fOnaN79+706dOHbdu2cfHiRQ4dOoSqqnTv3p3du3fj4ODA+fPnWbVqFYsWLXoknpUrV2JjY0NSUhLe3t707t0bW1tbEhIS8PX1ZdasWUyaNIlly5YxdepUxo0bx+jRoxk8eDALFy7Mvs7atWvx9/fnww8/JCMjg8TExML9RIoS59LtOL7Yep52LpXo29i+S/HxLAAAIABJREFUUO+14eIGPt7/MT5VfFjQZgGmBtJCTORTZibcC4WIE7lLOBKico6xcYaqHtoo7wcdOCwr6y5mIYDK5pWZ0HgCMw7MYOOljbxc+2Vdh1Qmldqk+sKFGcTFhxToNS0tXKhTZ9ozj7OysmLw4MHMnz8fU9Ocf+h37NjB2bNns/98//594uLiHnuNnj17oqenR/369bNXkLdt28a2bdto1KgRAPHx8Vy8eBEHBwccHR3x9fV97LXmz5/Phg0bAAgPD+fixYvY2tpiZGRE165dAWjcuDHbt28HYN++ffz6668ADBo0iPfffx8Ab29vhg0bRlpaGj179sTDw+OZnwtRdqRnZPLuzycwN9Ln016uKIXYpWD9hfVMD5qOX1U/5rWeh4mBSaHdS5RS6alaucbDyfOt05Ca9TNZzwAqukDtDjndNyo3BJOi6bUuxIvqU6cPm69sZs6RObxk/5JMkNWBUptU69r48ePx9PTktddey96WmZlJUFBQrkT7SYyNjbM/fvBWjqqqfPDBB7zxxhu5jg0LC8Pc/PFvewcGBrJjxw6CgoIwMzOjVatWJCcnA2BoaJid+Ojr65Oenp593uMSohYtWrB79242b97MoEGDmDhxIoMHD37maxFlw6LAy5y4HsvCAZ5Usiy8JPfn8z8z48AMmlVrxrzW8zDWN372SaJsS4nTEuaHE+jbIZCZpu03NNfKM9z759Q/V3IBA/neEiWHnqLHx34f02dTHz4/9DlftvxS1yGVOaU2qX6eFeXCZGNjQ79+/VixYgXDhmlP43bo0IFvvvmGiRMnAhAcHIyHhweWlpbcv3//mdf09/dn2rRpDBw4EAsLC27cuIGh4dNr9GJjYylfvjxmZmacO3eOAwcOPPM+zZo1Y926dbz66qusWbMme/vVq1epVq0aI0eOJCEhgWPHjklSLQA4fSOW+f9cpLt7Vbq4VSm0+6wNWctnhz6jhX0L5raai5G+UaHdS5RQ8VG5pw9GnIS7V4CsOlMzWy1pbjomawXaXSvp0NPXadhCFARna2fecHuDb4K/oatzV1pWb6nrkMqUUptUFwfvvvsu33zzTfaf58+fn11vnZ6eTosWLViyZAndunWjT58+/P777yxYsOCJ1+vQoQMhISE0bdoU0B40/PHHH9HXf/I/Bh07dmTJkiW4ublRt27dJ5aIPGzevHkMGDCAefPm0bt37+ztgYGBfPnllxgaGmJhYcH333//PJ8GUcqlpGfw7s8nsDE34pMehTd84IezP/DF4S9oXb01c1rOkYS6rFNViLmaO3m+dRLiInKOKeegJc7u/bNa2LlqDxTKABVRig1rOIy/w/5mxoEZeNl5yQPcRUgpqU+Jenl5qUeOHMm1LSQkBBcXFx1FJJ5Gvjal12dbQvj23yusGupN63qVCuUeq8+sZs6RObRzaMcXLb7AULoolC0Z6XDnfO7pg7dOQnKstl/Rgwp1c0o3qmQl0KbldRu3EDpyIuoEg/4aRP96/ZnSZIquwynxFEU5qqqq17OOk5VqIUSeHQm7y9LdV/iPT/VCS6hXnFrB18e+poNjB2a3mC0Tw0o7VdU6cITugRtHswaonIWMFG2/gYk2MKVBr5zpg5Xrg6F0fxHiAfeK7vyn3n/46dxPdK7RGY9K0ligKEhSLYTIk8TUdN795QTVypnyYZf6hXKPpSeXsuD4Ajo5deLTlz7FQE9+ZJVKsTcgdLf2K2wPxGb12jcppyXOPiNzVqBta4O+fB8I8Sxve77NzvCdBOwP4Jduv8g7fEVAfjIJIfLks7/Oce1uIj+N9MXCuOB/lCwOXsyiE4vo6tyVGc1mSEJdmsRHQVhWEh26B+5e1rab2kCNl6DZOKjREirUlvpnIfLI3NCcab7TePOfN1l+ejmj3UfrOqRST/6VEkK8sD0Xo/jhwFWGN6+Br7NtgV5bVVUWBi/k25Pf0r1mdz7x+wR96cxQsiXdg7B9OSvRt7P69RtbgWMz8B4ONVpApQagJ4N+hSgoLexb0MmpE8tOLsPf0R/ncs66DqlUk6RaCPFCYpPSmLT+JDUrmjPRv26BXltVVeYfn8/yU8vpVbsXHzf9GD1FkqwSJyUergXllHREnABUMDAFx6bg2ldbia7iLqUcQhSy933eZ3/EfgKCAviu43fyM7UQyU8zIcQLmf7HGW7HpfDbaD9MDAtuBVlVVeYencuqM6voW6cvU32nyg//kiItGa4fykmibxyFzHTQNwJ7b2g1WVuJrtZYBqoIUcRsTW2Z6DWRqfum8sv5X3il3iu6DqnUkqS6gEVGRjJhwgQOHDhA+fLlMTIyYtKkSbz88su6Dk2IfNt65ha/HbvB221q4V69XIFdV1VVvjzyJT+c/YH+dbUWUIU55lzkU0Ya3DiWlUT/C+GHtO4cij5UbQR+b2tJdPUmYGSm62iFKPO61+zOn1f+ZO6xubSq3orK5pV1HVKpJEl1AVJVlZ49ezJkyBDWrl0LaFMIN23a9FznZ2RkPHWQixC6FB2fwpTfTtGgqhVvtaldYNdVVZXZh2az9txaXnV5lUnekyShLm4yM7TWdg9Woq8GQVqCts/OVevOUaMFODQFEyvdxiqEeISiKHzk+xG9NvVi1sFZzGs9T37OFgJ5b7UA7dy5EyMjI0aNGpW9zdHRkbFjx5KRkcHEiRPx9vbGzc2Nb7/9FtCmFLZu3ZoBAwbg6upKWFgY9erVY8SIETRs2JCBAweyY8cOmjVrRu3atTl06BAAhw4dws/Pj0aNGuHn58f58+cB+O677+jVqxcdO3akdu3aTJo0CYAVK1YwYcKE7LiWLVvGO++8U1SfGlHCqarKhxtOE5eczn/7eWBkUDA/OjLVTGYdnMXac2sZXH+wJNTFhapqvaEPLIGfBsAXNWBpK9j+EcSEg8cA6PcDTAqFUXvBfxbU8ZeEWohirLpVdcZ4jGFX+C52XNuh63BKJVmpLkBnzpzB09PzsftWrFiBtbU1hw8fJiUlhWbNmtGhQwdAS5BPnz5NjRo1CAsL49KlS/zyyy8sXboUb29v1q5dy969e9m0aROffvopGzdupF69euzevRsDAwN27NjBlClT+PXXXwEIDg7m+PHjGBsbU7duXcaOHUv//v1xc3Pjiy++wNDQkFWrVmUn9kI8y8bgG/x95haTO9Wjrp1lgVwzU81kxoEZrL+wntcavsYEzwmSUOuKqsLdK1opR+gerUNHQpS2r7wT1O8BTi20dneWdjoNVQiRd4PqD2JL6BY+PfgpPnY+WBtb6zqkUqXUJtXTLl7ndHxSgV6zoYUpM2rbP/fxb775Jnv37sXIyAhHR0dOnjzJ+vXrAYiNjeXixYsYGRnh4+NDjRo1ss+rUaMGrq6uADRo0IC2bduiKEr2SvaD84cMGcLFixdRFIW0tLTs89u2bYu1tfYXpX79+ly9epXq1avTpk0b/vzzT1xcXEhLS8u+hxBPExGbxEe/n6GxY3lGvlQw7Zgy1UwC9gew4dIGRrqOZGyjsZJQF7WYcC15flDScf+Gtt2yCtRsqyXQTi9BeUfdximEKDAGegYE+AUwYPMA5h6dS4BfgK5DKlVKbVKtCw0aNMheLQZYuHAhd+7cwcvLCwcHBxYsWIC/v3+ucwIDAzE3N8+1zdg45+l4PT297D/r6emRnp4OwLRp02jdujUbNmwgLCyMVq1aPfZ8fX397HNGjBjBp59+Sr169XjttdcK5kWLUk1VVd7/9RTpGSpf9XVHXy//iW9GZgYf7f+ITZc3Mcp9FGPcx0hCXRTib+ck0KG7tVHgAGa2Wj2000tamzvbmjJwRYhSrL5tfQbXH8yqM6vo4twFbztvXYdUapTapPpFVpQLSps2bZgyZQqLFy9m9GhtclFiYiIA/v7+LF68mDZt2mBoaMiFCxeoVq1anu8VGxubff533333XOc0adKE8PBwjh07xsmTJ/N8b1F2rDl4jd0XopjRowFOFcyffcIzpGemM3XfVDZf2cwYjzEy4aswJd6Fq/tykuioc9p2Y2twagZN3tCS6YouMnBFiDJmtMdotl/dzvSg6azvth4TAxNdh1QqlNqkWhcURWHjxo1MmDCBL774gooVK2Jubs7nn39O3759CQsLw9PTE1VVqVixIhs3bszzvSZNmsSQIUP473//S5s2bZ77vH79+hEcHEz58uXzfG9RNlyNTuDTv0JoXqsCA5vkvwQgPTOdKXumsCVsC283epuRbiMLIEqRLSVO68oR+q+WRN86BahgaKZ15XD/j5ZEV3EHmVApRJlmamDKR00/4vXtr7P05FLe9nxb1yGVCoqqqrqOIU+8vLzUI0eO5NoWEhKCi4uLjiIqGbp27cqECRNo27Ztkd5XvjYlS0amSv+lQZy7FcfW8S2oWs40X9dLy0zj/d3vs/3qdiY0nsCwhsMKKNIyLC0Jwg8+NHDlGKgZ2sCV6k20BLpGC6jqCQZGuo5WCFEMTd2rvXO4rus66toU7ITc0kRRlKOqqno96zhZqS4jYmJi8PHxwd3dvcgTalHyrNh7hcNh9/iqr3v+E+qMNCbunsg/1/7hPa/3GNJgSAFFWcakp2qTCkN3aw8Yhh+EjFRt4Eq1xtB8QtbAFR8wzN/XTAhRNrzn9R57buwhYH8AP3b+EX15FytfJKkuI8qVK8eFCxd0HYYoAS5ExjFn6wXa169ML8+81/0DpGak8m7guwReD2Syz2QGugwsoCjLgMwMiAjWWtyF7oZrQZCWCChQxU2riXZqAY5Nwbhg2hwKIcqWciblmOwzmUm7J7H23FoG1R+k65BKNEmqhRDZ0jIyeefnYCxMDPisl2u+unKkZKQwYdcE9tzYw5QmU/hPvf8UYKSlUGYm3D6b0+YubB+kxGr7KrpAo0FamzvHZmBmo9tYhRClRkenjvx55U8WHF9AG4c2VLPI32JKWVbqkmpVVaU9VzFTUuv2y6Jvdl7i9I37LHnVkwoWxs8+4QmS05MZHziefTf2Mc13Gv3q9ivAKEsJVYXoyzkPFobtgcRobZ+NMzTomdPqzrKybmMVQpRaiqIwtclUev7ekxlBM1jcbrHkUXlUqpJqExMToqOjsbW1lW+IYkJVVaKjozExkXY9xd2p67F8s+sSPT2q0rFhlTxfJyk9iXE7x3Eg4gDT/abTq3avAoyyhIu5lrtXdFyEtt2qGtTukJNEl6uu2ziFEGVKFYsqvO35NrMPzWZz6Ga6OnfVdUglUqlKqu3t7bl+/TpRUVG6DkU8xMTEBHv7ou8bLp5fcloG7/wcTEULY6Z3b5jn6ySmJfL2zrc5dOsQnzT7hJ61ehZglCVQ3K2smuh/tZXoe2HadrMKOd05arTQVqZlIUAIoUP96/bnr9C/+OLQFzSr2ozyJtJ690WVqqTa0NAw17hvIcTz+WrbeS7ejmf1MB+szQzzdI3EtETe/OdNjt0+xqzms+hWs1sBR1kCJN59aPT3HrhzXttuYq2tQPuOyRq4Uk+SaCFEsaKvp09A0wD6/dmPLw9/yacvfarrkEqcUpVUCyFe3KHQuyzfG8qAJg60rFMxT9dISEtgzI4xBEcF81nzz+js3LmAoyymkmO1gSthWavRt06jDVwxB0c/aPSqlkTbucrAFSFEsVe7fG2GNxzOtye/pYtzF5pVa6brkEqUUjX8RQjxYhJS0uk0bw8AW8a9hLnxi/8/Oz41nlE7RnH6zmlmt5hNR6eOBR1m8ZAcCxEn4Gaw1uruZjDcvazt0zcGh6yBK04toJon6OdtxV8IIXQpNSOVPn/0ITUjld+6/4aZoZmuQ9I5Gf4ihHimWX+FEH4vkf97vWmeEur7qfcZvX00Z6PP8mXLL2nv2L4QotSBpBgtgX6QPEcEw90rOfutq2vjvj3+A/Y+2gRDQ3kYVwhR8hnpGxHQNIAhfw9hYfBCJnpP1HVIJYYk1UKUUf9eiGLtwWuMfKkGPjVevO9xbEosb2x/g/P3zvNVq69o49CmEKIsAv+bQN88DvdCc/ZbO0BVd/AYCFU9oIoHmFfQXbxCCFHIPCt70q9OP34M+ZFONTrRsELeH2AvS6T8Q4gyKDYxjQ5f/4uViSF/jG2OieGL1fvGJMfw+vbXuRRzibmt5tKyestCirSAJd17tITjcQl01UZa8lzFA8xtdRevEELoSFxqHD039qS8SXl+6voThnplt6RNyj+EEE/08abT3IlPZflg7xdOqO8l32PktpGExobydeuvaWHfopCizKeHE+ibx7Uk+kFLO4ByDlrS7DlIEmghhPgflkaWTPGdwvhd41l9ZjUjXEfoOqRiT5JqIcqYLaci2Bh8k3Fta+Nqb/1C50YnRTNy+0iu3b/G/Dbzi8+T4Yl3H62BzpVAO2qlG55Dcko4ZNS3EEI8VVuHtrR3bM/i4MW0d2yPo5WjrkMq1iSpFqIMiYpL4cONp3GtZs1bbWq90Ll3ku4wYusIbsTfYEGbBTSt2rSQonyGxLu5k+ebwRBzNWe/JNBCCFFgPvD5gAM3DzA9aDorOqyQidVPIUm1EGWEqqpM2XCK+JR0vurnjqG+3nOfG5UYxfBtw7mVcIuFbRfiU8WnECN9yLMS6PJOWv2z12tZJRzukkALIUQBqmhWkXe83mF60HQ2XNpAr9q9dB1SsSVJtRBlxG/HbrD9bCRTOtejTmXL5z4vMiGSEdtGEJkYyaK2i/Cye+azGnmTeDen9vlBEh1zLWe/JNBCCKETvWr3YvOVzcw5MocW9i2oYCodkB5HkmohyoCbMUkEbDqDj5MNw5s7P/d5txJuMWzrMKKTovm2/bc0qtSoYALKlUAfh5snIPbhBLoGVGsMXsOzSjjcwbR8wdxbCCHEC9FT9Pi46cf03tSbzw5+xletvtJ1SMVSvpJqRVEmACMAFTgFvAZUAdYBNsAxYJCqqqmKohgD3wONgWjgFVVVw7Ku8wEwHMgA3lZVdWt+4hJC5MjMVJm0/iQZqsqcvu7o6z1fPdzN+JsM2zqM2JRYvm3/LR6VPPIWQEI0RBx/qITjMQm0fWPwGZG1Au0mCbQQQhQzTtZOjHIfxfzj89l1bRetHVrrOqRiJ89JtaIo1YC3gfqqqiYpivIz0B/oDMxVVXWdoihL0JLlxVm/31NVtZaiKP2Bz4FXFEWpn3VeA6AqsENRlDqqqmbk65UJIQD4bn8Yey/dYdbLDXGwfb5xs9fjrjN863DiUuNY2n4prhVdn+9mDyfQN49rHTliw3P22ziDvddDCbQ7mJbLw6sSQghR1IY2HMqWsC3MPDgTbztvLIwsdB1SsZLf8g8DwFRRlDTADIgA2gADsvavBgLQkuoeWR8DrAe+UbRHSHsA61RVTQFCFUW5BPgAQfmMTYgyLTE1nVmbQ1hz8Bqt6lZkgI/Dc50Xfj+c4duGk5CWwDL/ZTSwbfD4AxPuZK0+P1iFfkwCXd0HfF7XSjjs3CSBFkKIEsxQz5DpTacz8K+BfH3sa6b6TtV1SMVKnpNqVVVvKIoyB7gGJAHbgKNAjKqq6VmHXQeqZX1cDQjPOjddUZRYwDZr+4GHLv3wOUKIPDgRHsOE/wsmNDqB11s4826HOs/VBunq/asM3zqc5IxklndYjouti7YjPurRLhz3r+ecaFNTEmghhCgDXCu6MtBlIGtC1tDFuUvBPWtTCuSn/KM82ipzDSAG+AXo9JhDH8xBf9y/6OpTtj/unq8DrwM4ODzfqpsQZUl6RiaLAy8z75+LVLI0Zs2IJvjVfL6ntENjQxmxdQRpGSmscBlB3dN/QsTMRxNo21rg4JvTA7qKG5i82BAZIYQQJdfYRmPZeW0nAfsD+KXbLxjpG+k6pGIhP+Uf7YBQVVWjABRF+Q3wA8opimKQtVptD9zMOv46UB24riiKAWAN3H1o+wMPn5OLqqpLgaUAXl5ej028hSirrkUnMuHnYI5evUd396rM6NkQa1PDp58UfxtuBnPl6r8Mv/kXmZlprLh5i9rnx2n7JYEWQgjxP8wMzZjqO5Ux/4xh+anljPEYo+uQioX8JNXXAF9FUczQyj/aAkeAXUAftA4gQ4Dfs47flPXnoKz9O1VVVRVF2QSsVRTlv2gPKtYGDuUjLiHKFFVV+eXodaZvOoOensK8/h708HhMBVVWAp3Txi4Y4m5yydCQ4VUqoSj6rLRwo2brUTklHCZWRf+ChBBCFHsv2b9EF+cuLDu1DH8nf2qWq6nrkHROUdW8L/gqijIdeAVIB46jtderRk5LvePAq6qqpiiKYgL8ADRCW6Hur6rqlazrfAgMy7rOeFVVtzzr3l5eXuqRI0fyHLsQpcHdhFSm/HaKv8/cwtfZhq/6eVCtnClkpEPkKbi6X/t14xjEPXgDSNFWoKt6cN6mOiMj/sZA35jlHVfibP38PayFEEKUbXeT79JjYw+crJxY3Wk1esrzT+otSRRFOaqq6jMnn+UrqdYlSapFWffvhSgm/nKCe4mpTG7nxGtOd9ELD9KS6PBDkBqvHVjeCex9cpdwGFty7u45Rm4biZG+ESv9V+Jo5ajT1yOEEKLk+ePyH0zZO4UPm3xI/3r9dR1OoXjepFomKgpRwiSnZTD3zyOcP7yDCZZX6FH9KmZ7T8C/qdoBleqDe39waAqOfmBV9ZFrnI0+y8htIzEzNGNlh5VUt6r+yDFCCCHEs3R17sofl//g62Nf06p6K+zM7XQdks7ISrUQJUF8FFzbz50zu7gX8i/OGaHoKyqqngFKFQ9wbAqOzaB6EzCzeeqlTt85zevbX8fS0JIV/iuwt7QvohchhBCiNLoed51em3rRxK4J89vMf64WriWJrFQLUVKpKsRc08o4rmXVREdfAsBcNSJUry7X3d7CsVE7FHtvMDJ/7kufiDrBqO2jsDa2ZqX/SqpaPLqKLYQQQrwIe0t73vR4kzlH5rDt6jb8nfx1HZJOSFIthK5lZsKd8zkPFV4Lgvs3tH0m1iRV8eHX1Jb8escB+wa+zOjlSTmzF+8JGnw7mFE7RmFjYsNK/5Vl+i06IYQQBWugy0D+Cv2Lzw5+hm8VX6yNy177VUmqhShqGWkQcTJrFTpI+z3pnrbPwk6rg3b0Q3XwZeNNaz76PQQVmN6nAb08q+XpbbWjkUcZs2MMFc0qsqLDCiqbVy7Y1ySEEKJMM9AzYLrfdPr/2Z//Hv0v0/2m6zqkIidJtRCFLS0Jrh/RVqCv7oPww5CWoO2zcYa6XbJqov2gfA1QFGIT0/hw4yn+PHkKL8fyzH3Fg+o2Znm6fdDNIMbtGoeduR0rOqygolnFAnxxQgghhKaeTT2GNhjKitMr6FyjM02qNNF1SEVKHlQUoqAlxUD4wZxSjhvHIDMNUKByAy15ftCZw/LREox9l+7w7s8nuBOfwoT2dRjVsib6ei++On0l5grfBH/D9qvbqWldk+X+y6lg+nwjy4UQQoi8SE5Ppvem3qio/Nb9N0wMTHQdUr7Jg4pCFJW4yJwHCq8GQeRpQAU9A6jqCU3HgIMfODQB0/JPvExyWgZztp5n+d5QnCuas2FwM1ztX7wmLSI+gkUnFrHp8iZM9E0Y7T6aIQ2GYG74/A80CiGEEHlhYmDCx00/Zvi24Sw5sYTxjcfrOqQiI0m1EC9CVeFeaE4t9NX9cPeKts/QDOy9odUHWjlHNS8wer6SjXO37jN+XTDnbsUxuKkjH3RywdRI/4VCi06KZvmp5fzf+f9DQWGgy0BGuI7AxuTpLfaEEEKIguRTxYeXa73Md2e+o2ONjtSzqafrkIqElH8I8TSZmRAVkrszR1yEts+k3EOlHM20SYX6hi94eZWV+0L54u/zWJka8mUfN1rXq/RC14hLjWP1mdV8f/Z7UjJS6FmrJ6PdR0t3DyGEEDoTmxJLj409qGxemTWd12CgV3LXcaX8Q4i8yEiDm8EPdeYIguQYbZ9l1ezOHDj4QcV6oKeX51tFxCbx7s8n2H85mvb1KzO7lyu2FsbPfX5yejLrzq1j+enlxKbE0sGxA281eosa1jXyHJMQQghREKyNrfmgyQe89+97rAlZw5AGQ3QdUqGTpFqUbamJcP1wzqCV60cgLVHbZ1sLXLrlJNLlHKGApkT9ceImH244RXqmyue9XennVf25W+WlZaax8dJGlpxYwu3E2zSr2oyxnmNpYNugQGITQgghCkIHxw60sm/FwuCFtHVoW+on+Er5xwtQVbXUjd4sc5LuwbUDOeUcEcGQmQ4oYNdQW4F+UNJhWfC9nO8np/Hx72fYcPwGjRzKMbefB04Vnu8Bwkw1k61hW/nm+Ddci7uGe0V3xnmOw9vOu8DjFEIIIQrCrYRb9Py9J+4V3VnSbkmJzKOk/KMQfHLgE+JS4xhUfxDuFd11HY54HvcjcnfmuH0WrTOHIVRrDH5jtUS6ug+YlivUUA5eieadn09w634yE9rV4c3WNTHQf3b5iKqq7LmxhwXHF3Du7jlql6/NgjYLaGnfskT+cBJCCFF22JnbMd5zPLMOzuLPK3/SrWY3XYdUaCSpfgE2JjZsDd3K1rCtuFVwY1D9QbRzbFeii+9LFVXVOnE8eKDw6j64F6btMzTXEucGL2d15mgMhqZFElZqeib/3X6Bb3dfxtHGjPWjmtLI4cmt9R52LPIY847N49jtY9hb2PPZS5/RuUZn9JS813ILIYQQRalf3X5svrKZLw5/QbNqzUptVyop/3hBCWkJbLy0kTUhawiPC8fO3I4B9QbQu05vrIysijyeMi0zQ1t5vpqVQF8LgvhIbZ+pzUOdOZqCnTvoF/1/fi5GxjFuXTBnI+7zHx8HpnZxwdz42XGcu3uO+cfms+fGHiqYVmCU2yh61e6F4Qt2FxFCCCGKg8sxl+nzRx/8nfyZ/dJsXYfzQp63/EOS6jzKyMxg9/Xd/BDyA4dvHcbUwJSetXryqsurOFg56CyuUi09FW4ef6gzxwFIidX2WdnnjPp28IMKdfLVmSO/VFXWbTrbAAAgAElEQVRl9f4wPttyDgtjA2b3dqN9/WfXaF+9f5WFxxeyJWwLVkZWDGs4jAEuAzA1KJpVdSGEEKKwLApexOITi1nUdhEv2b+k63CemyTVRSgkOoQfQ37kr9C/yMjMoKV9SwbVH4S3nbfUvOZHSvxDnTmCtI/Tk7V9trVzunI4+kG54vMfmcj7yUxcf5LdF6JoU68Sn/d2o6Ll01vlRSZEsuTkEjZc3ICRvhGvurzK0IZD5d0PIYQQpUZqRip9/+hLcnoyG3pswMzw+Qak6Zok1ToQlRjFuvPr+OX8L9xLuUc9m3q86vIqnWp0wkjfSNfhFX+Jd7NqoR905jgBagYoemDnmrszh0VFXUf7WH+fjmDyb6dITstgapf6DGzi8NT/WMUkx7Di9Ap+OvcTGWoGfev05XW316lgWqEIoxZCCCGKRvDtYAZvGcxAl4G87/O+rsN5LpJU61ByejKbr2zmh7M/cDn2MhVMK/BK3VfoV7dfqS3Oz5Pk+1ot9JV/IXQ33D6jbdc30kZ8OzbN6cxhUrxXbONT0pm+6Qy/HL2Om701c1/xoGZFiycen5iWyPdnv2f1mdUkpCXQrWY3RruPLvU9PIUQQoiZB2by8/mfWdN5Da4VXXUdzjNJUl0MqKpK0M0gvg/5nn3/z959x0d5nvn+/zxTpNFIGvXeQQUECISJMeACdtwLcYkNxCWbTeIUl3hzchLvrmMn2bPr32bPxiWJ4yS7exJswMZxjxO3gAvFNgYkAUISTb3XGU2feX5/PKORZMBIIGlG0vV+vXhp/PiZ0S2D0Vf3XNd1N+8gQhfB9XOv5/b5t1OYUBjq5U09jxOaPg6E6Pegea+2E20wQc5yKLhIO+47cykYTaFe7Zh9Wt/DA89V0NRr57trCrnvsiKMpxmV5/a5eb7meX5X9Tt6nD1cmnMp95bfOzv/PAghhJiVbG4ba19ZS1xkHM9d9xxGXXg34UuoDjNH+47yTPUzvHb0NVw+FysyVnBH6R2sylo1c8ej+X3a4SpDIbpht1YTreghaykUXAwFl2iBehqF6CEen58n3q3jV9uOkJUQxWO3LeG8vFO/E+H1e3nt6Gs8VfEUrYOtLE9fzn1L76MspWyKVy2EEEKE3raGbdy37T7uK7+Pb5R9I9TL+VwSqsNUr7OXF2pfYPPhzXQ6OimIK+D2+bdz/dzrp/+EB1WFzhqtlOP4e3DiA3AGpnOklmoBes4lWl20KS60az1HRzttPPDcfiqb+vnyedn8+PpSYk0n/6StqirvNLzDk/ue5Hj/cRYkLeD+pfezInNFCFYthBBChI/vb/8+2xu386cb/kR+XH6ol3NaEqrDnMfn4a8n/srGQxup7qkmLjKOW4tvZd28daSaU0O9vLHra9QC9FBdtK1Nux6fGwjRq7Ud6ZhTf01+lwtfdzfe7h50USYi8vNRDOF7mI6qqjz7UQP/8udDmIx6Hr1pEVctzDjlfbtad/HE3ic42H2QOXFzuLf8Xi7LvUwmwgghhBBAl6OLG16+gZKEEv7ryv8K23fuJVRPE6qq8mn7p2w8tJFtjdvQ6/RclX8Vt5fezoKkBaFe3skGu+HE+8MlHT3HtOvmZCi4GDX/YnzJS/H5Y/B2dwcDs6+nG29XN96ebnzdPdrHrm78g4OjXl6JiCBi7lxMxcVElpQQWVyMqaQYfXJyyMNop9XFD/9Uyd8Od3BxcQo/v6WMNMvJZSsVnRU8sfcJPm77mIzoDL6z5DtcP+d69Dp9CFYthBBChK8X617k4Z0P8/CKh7ml+JZQL+eUJFRPQ40DjWw6vIkX617E7rWzNHUpd5beyeqc1aELZC4b/iPv46t8G2/tLnzNx/A6dXi9ZnwRWXiVJHyeSLxWF76eHry9veD1nvw6ioI+MRFDYiL6pCTtY3IShsQk9EmJGJKS8FutOGtqcdXU4KqtxdvZGXy6PiEhELKLMAXCdmRhIbqoqSmZeftQOz/6UyU2l5cHr57HXSvzTwr5db11PLnvSbY1biPRlMg3y77Jl4u/LOMUhRBCiNNQVZWvv/V1qrureeVLr5BiDr+RuRKqpzGr28qLdS+yqXoTLYMtZMdk85X5X+HGohuJNkaf8+urqoq/vx9vTw/eri4tDA/tKnd24ms+ire9CW93L75BN37Pqd+OUUwmDElJnwnHyRiSEtEnJmkfk5K0e+LjUfTj+8HA29uLq6YWV20Nztpa7fGRI6gOR2ABChG5ucEd7ciSYkwlJRizs1Em6DRFu9vLz16vZvPHDZRmWHh83RKK0mJH3dNkbeLX+3/N68deJ9oYzVcXfJU7Su+YNkPthRBCiFCqH6jn5ldv5uLsi/nP1f8Z6uWcREL1DOD1e/lbw9/YeGgj+zv3E2OM4aaim9gwfwNZMVmj7vW73cOlFt1dwyUX3T14u7sCJRc9+Lq6Tr+bDOgj/RhMPu1jggV9ei6G3Hno5yzGkJYxvNOclITOPPWhUfX58DQ2Dofs2lqctTV4Ghq1RklAMZuJLCrUSkiKA4G7uAhDQsK4Ptf+xj4eeG4/J7oHufviufzD5cVEGIbDepeji6crnuaFuhfQK3o2zNvA1xZ+jXhT/IR+zUIIIcRM9/uq3/P43sd5bM1jXJZ7WaiXM4qE6mlu5G6yr7ubY8f383H1W7Q0VmMZVClUU8jzxRE5oJVd+K3WU75OcDd5qOQiKQmDWYfB34neWY/Bdhi90o/B5EefWYhSuFprLMy/EKLGF0JDyW+34zpyBGdNDa7aOq2EpKYGX39/8B5DauroEpKSEiILClAiRpdneH1+frXtKE/8rY50i4n/vHUxy+ckBf/9gHuA/znwPzxb/Sxun5ubim7i7rK7SYtOm7KvVwghhJhJPH4P619fT6+zl5e/9DKxEbFnftIUkVAdhvxut1Zq0dUd3EUeauAb3lUOlGH09Jy2NtkdE0mnyU2vWYWEOHJyF1KQv4SI5BQtQCcmYkhOxpCYiGI2o1jbRkzoeA8GmrXXsmRrI+4KLtGCtOXkKRbTmaqqeDs6cdVqJSSu2lqcNbW4jx5F9Xi0mwwGIgsKAuUjJQxk5PLTQ2629yjcuDSbn6xdgCUwKs/hdfBs9bP894H/xuq2cnXB1dyz5B5yLbkh/CqFEEKImeFg10E2vLGBW4pu4aEVD4V6OUESqqeAqqr4BwZOPd1iZMlFdzfe7u7T7yZHRg7vJicFapM/W6M8sjbZYMDusfPq0Vd5pvoZ6gfqSTOnsX7eem4pvoU4vx+OfzA8L7qrVvtEUYnaqYVDo+4S58AsHO+mejy4T5zQmiJrtcZIZ20t3tbW4D2+6Bhi5pdgKi7GUFTIzqhmfm19nWZ/DxdnX8x95fdRklgSwq9CCCHE2VBVFXw+VK9X++XxaBstQ//s9aJ6vKheD3g8J11Tvd7h656h5wSe71exXH0VxvT0UH+Z09bPP/k5fzz0R/5w1R9YmrY01MsBJFRPis5f/grH/v0jxsL1wNCO52fo4+NP38CXHNhNTkpCn5iELtp81uPi/KqfD068w8aKp/mov5YoFW6w2ri9f4B8JUI7aGXo0JW0RTBBDXwzSbfNxYMvVrFj/wmui7Xz7VyVyMbjOGtqsB+uRudwBe/1Z6Rgmb9Ia4oM7G5H5OaG9WxtIYSYKKrfPzpUDoXSwMfRwdQzHE5HBtPgcwPXPSNfJxBaT3F91LWR10de+7zrQ2s8zfftiRKRn0/+1ufRx4ZP+cJ0YvfYuenVm4jQR/DC9S+ExQStsYZqSQLj4GlpwdfXhzElFdO8+aN3kEeUXOgTEiY3ZPk80LwXjr+H7th7XNL0MZf43NRERvFMeh4vWnQ8Z4nh4swLuWPhXSxPXx7yGc/haltNBz/YWsmAw8P/vnEpX1tVgKLA9sbtPLGvgiO9Xi5Qivm6+XLmdOlx19XhrKnF9t574PMB2mztyMLCYAnJUM22ITk5xF+dEEIMU1UVx7799L3wAt62ts8EzkAIHRmWTxGe8fsnf6GKon0PNRpRDAaUoY+BXxgNKAbjqOs6cxQYTr6u3fuZ60bD8L1DrxuhPR513Tj8uYdf2zBqTYy8ZjDgrK6m4evfoOUH/5vsX/9qwiZRzSZmo5kfX/Bj7n7nbn5X9Tu+u+S7oV7SmMlO9XTg90PHoeG66Pod4LYBCqQvCtRFr4a8FRARTZeji+drnue5mufocfZQnFDM7fNv55o51xCpjwz1VxMWHG4f//aXav64q5556bH84rYlzM+w8EnbJzy+93EqOivIs+Rxz5J7uCL/ipNOefK7XLiPHh1dQlJXi6+zK3iPPilJC9hDE0hKSogsnIvOdPKBMUIIMVn8g4P0v/5nejdvxnX4MLqYGCLnzh0Op4YRQfFUgfNU1wOBE8PI0GoYDqBG4+h7P3t9RBDVrkcMXxvn+NVw0/Pss7T/7F9I/s63SbnvvlAvZ9r6xw/+kb+c+AvPX/c8RQlFIV2LlH9Mdz3HRx//bQ+EtcS5o5sLzYmnfQmXz8Ubx95gY/VG6nrrSDQlclvJbdxacivJUbN3F/VAcz/3b9nH0c5Bvn5hAf/ryhKODhzmib1PsLNlJ6nmVL69+NusLVyLUWcc12t7e3pG1WkHZ2s7ndoNOh0ReXnDc7UDYduYlSU7GkKICeU6dozezVvof+kl/DYbkSUlJGzYQNx116KLPvczD8SpqapK6z/9M/0vvkjWk09gufzyUC9pWup19rL25bXkWHL441V/DOmpxBKqpxtre6CxcLv2sa9Bux6bMRyg51wCcdnjfmlVVdndupuNhzbyQfMHGHVGrp1zLXeU3kFxQvHEfh1hzOdX+c17R/nF27Ukx0Tyf29dTEbKAL/c90vern+buMg4vr7w66ybtw6TYeJ2k1WfD3dDw6i52q7aOjwNDcF7dGYzkUVFo45mjywuRh8XN2HrEELMfKrXi/Vvf6N302bsu3eD0YjlyitJ2LCeqPJyKQWcIn6Xi/rb78B99Cj5zz9HZGFhqJc0Lb1+7HUe/OBBHjz/QTbM3xCydUioDnfOfjixY3g3urNau26Kg/yLtOkcBZdActGETug43n+cZ6uf5ZUjr+D0OVmesZw7S+/kwqwLTypxmEkae+z8w/P7+eREL9eWZXDfFUk8W/NfvHL0FSL1kdxZeid3LbhrSudi+gcHT56tXVs7erZ2evqIo9kDZSQF+SfN1hZCzG6ejg76XniBvueex9vejiEjg4TbbiP+lpulvyNEPG1tHL/5FvQxMeS/sFUaF8+Cqqp8+91vs699Hy+vfZmMmNCM/pVQHW48Tmj8aDhEt+wD1QeGKMi9YLikI2MxTMFbHP2ufrbWbmXz4c102DvIt+Tzlflf4Ya5N8yo47VVVeXFvc08/OpBFOCH12XRrP6Z52qeA+C2ktv4+qKvkxSV9PkvNEW02dodJ5eQHDs23LFuNGqztUceZFNcjCEtTXahhJhFVFXFsWcPPZs2YX37HfB6iV61ioQN64m55BKZShQG7Hv2UP/VvyPmwgulcfEsNduaufGVG/lC+hf45aW/DMn3OQnVoeb3Qct+rZzj2HtaoPY6QdFD1nnDITrnfDCErnnQ4/fw1om32HhoIwe7D2KJsHBL8S2sn7ee9OjpPWezz+7mn146wJ+rWjmvIIplZZW8fGwzTp+TtXPX8q3F3yIzJjPUyxwT1ePBdfz4SSUkI2dr6+LiMA2VkAzVaxcVSe2kEDOMzzZI/6uv0Ld5M666I+gsFuJvvJGE9euIyM8P9fLEZ0jj4rnbeGgj//7Jv/Pzi3/OVQVXTfnnl1A91VQVOg9r9dDH3oMTH4Ir8DZ+2sLhuui8lWCyhHatp6CqKvs797Px0EbebXgXHTouz7+cO0vvZGHywlAvb9w+qOvkf22toMc+yKXnH+GQ/WX6XH1cnnc595Tfw5y4OaFe4oTw9ffjqqs7qYTEb7cH7zHm5BBVVkb0qlVEr1qJMU2OUxdiOnLV1dG7eTP9L7+C327HVFpKwlc2YLnmGnRRUaFenjgNaVw8dz6/j/u23cdNhTdxWd5lU/75JVRPhb6G4aO/j78PtnbtekL+8IEr+RdDTEpIlzleTdYmNh3exIt1LzLoGaQ8tZw7Su/g0pxLQ9p9OxZOj49//2sN/73jCJk5BzAmvUOPq5MVGSu4f+n9LEheEOolTjrV78fT0jJcQlJTi33PHnxd2gSZiLlziV65kuhVK4n+whdkJ1uIMKZ6PFjfeUdrPPzkE5SICCxXX03ChvWYysqk5Gua8Ltc1N9xJ+4jR6RxcRqSUD0ZBruGj/4+9h70HteuR6cOT+couAQS8qZ2XZPE5rbx0pGXeLb6WZptzWTFZLF+3npuKrppShv6xupQywD3P/cpx+27SMndhs3fRllyGfcvvZ/zM84P9fJCSlVVXLW1DO7YyeCOHdj37EF1ucBoxLx4MdEXriJ65UpMCxZM+xmxQswEnvZ2+p57nt6tz+Pr7MKYlUXC+nXE3XwzhoSEUC9PnIVRjYtbn0dvCb93rcWpSaieDL+7DJr3QKQF8lYNh+jU+RM6oSPc+Pw+tjdu54+H/sjejr1EG6O5sfBGNszfQE5sTqiXh9+v8rsPjvKLD18jIvVN1IhmCuMLubf8XtbkrJGdnFPwu1w49u5lcMcObDt34jqkTZ/RxcURfcEFwZ3siOzxj3AUQpwdVVWxf/QRvZs2Y333XfD7ib74IhLWryfmoovkB94ZINi4uGoV2U/9WhoXpwkJ1ZPh+AdgjIKMJaCfnV3VB7sPsvHQRt48/iZ+/KzJWcMdpXewNHVpSMJrS5+Db219gTrv8xjMJ8iIzuLe8u9yTcE1YV+qEk68PT0M7tql7WTv3Im3rQ0AY26uViayciXRy5fLzooQk8BntdL/0sv0btmC+9gx9HFxxN1yMwnr1hGRE/qNCzGxpHFx+pFQLSZV+2A7W2q2sLV2K/2ufkqTSrl9/u1clX8VRv34TiE8W7/Z9QG/2v8kmKuJNiRw/9Jvc0vxLVP2+WcqVVVxHz/O4Ic7GNy5E/vHH2uNjzqd1vAY2MWOKivTjikWQpwV5+HD9G7aTP9rr6E6HJjKykjYsB7LVVehM03cAVQivEjj4vQjoVpMCYfXwWtHX+OZ6mc43n+c1KhU1s1bx5eLv0y8KX5SPufBjqPc9+ajtPs+Qk8Ud8y/i+8s/eqMmq8dTlS3G0dFBbad2i62s+oA+P3ooqMxL18+XCqSny+lNkKcgd/txvrmW/Ru3oxj716UyEgs115Lwvr1RC2afpOWxNmRxsXpRUK1mFJ+1c+O5h1sPLSRXa27MOlNXD/3em4vvX3Cxtd12Dv4yQeP8X7rn1FVPeVx1/P4VQ+QaJ6c8C5Ozdffz+DujxjcqTU9epqaADBkZhC9ciUxK1diXrFCmqmEGMHT0kLvc8/T98IL+Lq7MeblkrBuPfE3fgl9vPwdNhtJ4+L0IaFahExdbx3PVD/D60dfx+13c2HWhdwx/w5WZK44q53Mflc/T1f8jk3Vm/CqPqKcq/j5F/+B1fKTfVhwNzQEAvZOBnfvxm+1gqJgKi0dLhVZuhSdHK0uZhnV72dw5y56N2/Gtm0bADGrV5Owfj3Rq1ZKk5qQxsVpQkK1CLluRzdba7ey5fAWup3dFMYXcvv827l2zrWYDGeuF7R77Gw8tJH/PvA/2D12PANLuCrrTv71+tWYI2Zno2i4U71enAcOaKUiO3biqKgArxclKgrzsmXBkB1ZVCSlImLG8vX30/fSS/Rt3oK7vh59YiLxt9xCwm23YszKCvXyRJgZalxM+va3SL3//lAvR5yChGoRNtw+N385/hc2HtpITW8NCZEJ3FpyK+vmrSM5KvmU92+t3cpvK39Lj7MHn60Uk+0a/mPtVVw6T04DnE58tkHsH3/M4A6t6dF9XJvtbkhJIXrlCu2UxxUrMKRMrwOShDgVx8GD9G7axMCf30B1OokqLydhw3pir7xS3qkRpyWNi+FPQrUIO6qq8knbJ2w8tJH3mt7DoDNwdcHV3Fl6JyWJJfj8Pl479hpP7X+KlsEWYvwltDdcyqX5X+DRm8tIjokM9ZcgzpGnpSUwum8Hgzt34evrAyCyuFgL2CtXYl52nhy5LKYNv8uF9a9/pWfTJpwVlShRUcRdd5124uH8+aFenpgmpHExvEmoFmGtfqCeZw49wytHX8HhdfCF9C/Q4+jhaP9RssxFtBxbg8dWyI+vX8C6L+RIqcAMpPr9OKurg7OxHZ9+iurxoEREEHXeUq1UZOVKTPPnS52hCDvupib6tmyh74U/4evrI6KggIT164n70lppOBNnRRoXw5eEajEt9Lv6ebHuRZ6reY4IXSSxzmvZUZHJ4pwEHrttCQXJ0aFeopgifocD+549wZDtqq0FQJ+QQPSKFcFDaIwZGSFeqZitVL+fwQ8+oHfTZmzvvw86HbGXXkrChvWYL7hAfvgX50waF8OThGoxLXh8fuq77Rxs6efnb9bQ0ufg3kuLuOfSQox6+ctkNvN0dGDftYvBnTux7dyJr7MLgIg5c4K72Obzz0cfIz94icnl7e2l/8UX6d28BU9TE/rkZBJu/TLxt96KMT091MsTM0zPpk20//Rn0rgYRiRUi7Di8vo43jVIXbuNug4bRzqsHOmwcbxrEI9P+zOYl2TmP29dwnl5Mt9YjKaqKq7aOm10386d2D/5BNXpBIOBqCWLg/OxTQsXohhkMoyYGI7KSno3bWbgjTdQ3W7My5ZpjYdf/CKKNB6KSaKqKq3//M/0/+lFsp54HMsVV4R6SbOehGoREg63j6OdNuo6rCMCtI367kH8gT9qOgXykqIpTI2hKDWGorQYilJjKU6LJcIgu9PizPwuF459+7RSkR07cFZXg6qis1iIXr5cKxVZtYqInJxQL1VMM36Hg4E3/kLv5s04DxxAZzZjWXsDCevXYyouDvXyxCwhjYvhRUK1mFRWp4cjHcOhua7dSl2HjeY+B0N/pIx6hfykaIrSYihMjQ0G6PykaExGfWi/ADGjeHt7se/ahS0wVcTb2gqAMScnOBs7+oILpPFHnJa7vp7ezVvoe+kl/P39RBTO1RoP165FHxMT6uWJWUgaF8OHhGoxIXoH3RzptAV2na2BAG2jbcAZvCfCoGNuSmDXORCcC1NjyUsyS120mHKqquI+fiJ4jLr9o4/w2+2g02FatJCYwOi+qMWLUYzGUC9XhJDq82F77z16N21m8MMPwWAg9otf1BoPv/AFaTwUISeNi+FBQrUYM1VV6bS5OBLcdR4O0F02d/A+c4SewtSYQNnG8M5zdoIZvU6++YjwpHo8OCortdnYO3biqKoCvx+d2Yz5/PO1+dirVhJRUCAhapbwdnfT98Kf6H1uC96WVgypqcTfdivxt3wZY1pqqJcnxCjSuBh6EqrFSVRVpbXfGSzZODKi7rnf4QneF2syBHadYwO7zjEUpcWSYTGhk/AspjnfwACDu3cHmh534WloAMCQnh4c2xe9YgWGxMQQr1RMJFVVcezbT+/mzVj/+ldUjwfzBReQsH49sZeukXctRNiSxsXQk1A9i/n9Kk29juFyjcCvox02bC5v8L7E6IjhZsFAcC5KjSElNlJ27MSs4W5sDM7GHty9G//AAACm0tJgyI5auhRdpJzoOR357Xb6X3+d3s1bcFVXo4uJIe5LXyJh/Toi584N9fKEGBNpXAwtCdWzgNfnp77HTl27TZu4EWgWPNppw+nxB+9LjY0MTtgYCtGFqTEkybHfQoyi+nw4DxwI1GPvxL5/P3i9KCYT5mXLgk2PkcXF8oNnmHMdO07vls30v/QyfquVyOJiEjZsIO7669BFy2xzMf142tu1xsXoaGlcnGISqmcQl9fHiS57cEzdkU4bR9q1Gc9u33B4zoqPGjWmrjAQouOi5G1NIc6GzzaI/ZOPGdy5i8EdO3AfOwaAPiVZO+Vx5Uoii4rQx8Whj41FFxsrjUQhpHq9WLdto3fTJuy7doPRiOWKK0jYsJ6opUvlByEx7Q01LkavWknOU0/J3zdTREL1NDQ041kr2Rgu3ajvtuMLDHlWFMhNNAd2m4ebBeemxBAdKYdeCDGZPK2twYA9uGsXvt7e0TcoCrrYWC1gx1nQW+KGH8da0MdZ0FlGPI6N1QK5RbuukwNFzoq3s5PerVvpe+55vO3tGDIySLjtNuJvuRlDcnKolyfEhJLGxaknoTqM2Vze4Gzn4MSNDhuNvfbgjGeDTiEvyTy6WTA1ljkpMuNZiHCg+v24amrwNDfjG7DiG+jHPzAw4rEV38DAqMeq0/m5r6mYTIGAHTs6kFvi0FtitUA+6rElcH8cumjzrNqJVVUVx5499G7ezMBbb4PXS/SqVSRsWE/MJZfIyZpixpLGxaknoToM9Nndw42CgTF1RztstPSPmPGs1zEnJXp4TF2aVr6RlxQtpwsKMcP43e5A8B7A19+P32rF1z+AzzqgXR963B+4Z+ix1YrfaoXP+/tar9dC+KiwHXgcZ0EXO3Q9Fp0lDn2cJRDatfA+XUKozzbIwGuv0rtpM666OnQWC/E33kj8utuILCgI9fKEmBLSuDi1JFRPEVVV6R50a7XOHdZggD7SaaPT6greF2XUMzc1elSzYFFaLDkJURjkgBQhxBmoPh9+mw2f1aoF8jPsio9+PAAez+e+vs5sDgZsvcUy/HhkIB96HDc6tCsm06Tvkrvq6ujdvIX+V17BPzhIZOl8EjdswHLtteiioib1cwsRjqRxcepIqJ4E7QNOatuHZzsfCdQ999pHzHiONDB3RLPgUIjOio+SGc9CiJBQVRXV6cQ3MDBip3wAv3XgFDvlVvz9/YGdcu2x327/3NdXjMZgwA6Wrox6/DmlK5/T3Kl6PFjffZfeTZuxf/wxitGI5ZqrSVi/HtPixbOq3EWIU7F/+in1d31Va1z89a9R9FIeOhkkVE+CW57ayZ56rTEp3mw8qTWg+7EAACAASURBVFmwKDWWNIvMeBZCzCyqx4PPZtPCdqBkxT/QH9gp/+zjgeDuuD8QzPH5Tv/iioIuJiawOx5o4rRY0JnNDO7cibezE2NWFvHrbiP+5pvlUB4hPiPYuPitu0n93vdCvZwZaayhenoU0YWJ719RAkBRWgxJ0RESnoUQs4JiNGJISICEhHE/V1VV/IODJ4ft09WSW624jh/DP2Alcv480n/2U2Iuukh24IQ4jYT163EePEj3b57GVFoqjYshJKF6HFbMTQr1EoQQYlpRFAV9TAz6mBiMmZmhXo4QM46iKKT/+Me46o7Q+qMHiZwzRxoXQ0Q65IQQQgghpjFdZCTZTz6BYjbT9N17tOZkMeUkVAshhBBCTHPGtDSyH38Md3MzzT/4Aern9TKISXHWoVpRlBJFUfaP+DWgKMr3FEVJVBTlbUVR6gIfEwL3K4qiPKEoyhFFUSoVRVk64rXuCtxfpyjKXRPxhQkhhBBCzCbm884j/Z/+kcH33qfzySdDvZxZ56xDtaqqNaqqLlFVdQlwHmAHXgJ+BLyrqmoR8G7gnwGuBooCv74JPAWgKEoi8DCwHDgfeHgoiAshhBBCiLGLX7eOuFtupvs3TzPw1luhXs6sMlHlH5cBR1VVrQfWAn8IXP8D8KXA47XAH1XNbiBeUZQM4ErgbVVVe1RV7QXeBq6aoHUJIYQQQswaiqKQ/tBDmMrKaPnRg7jq6kK9pFljokL1OmBz4HGaqqqtAIGPqYHrWUDjiOc0Ba6d7roQQgghhBinocZFndlM0z33SuPiFDnnUK0oSgRwA7D1TLee4pr6OddP9bm+qSjKHkVR9nR2do5voUIIIYQQs4Q0Lk69idipvhrYq6pqe+Cf2wNlHQQ+dgSuNwE5I56XDbR8zvWTqKr6W1VVl6mquiwlJWUCli6EEEIIMTNJ4+LUmohQvZ7h0g+AV4GhCR53Aa+MuH5nYArIBUB/oDzkTeAKRVESAg2KVwSuCSGEEEKIcyCNi1PnnE5UVBTFDFwO3D3i8qPA84qi/D3QAHw5cP0N4BrgCNqkkL8DUFW1R1GUnwGfBO77qaqqPeeyLiGEEEIIMfLExTpafvQgkQUFRBYVhXpZM5KiqqcsXw57y5YtU/fs2RPqZQghhBBChD1PezvHb74FXbSZguefRx8XF+olTRuKonyqquqyM90nJyoKIYQQQsxwQ42LnuYWaVycJBKqhRBCCCFmgWDj4vsfSOPiJJBQLYQQQggxS0jj4uSRUC2EEEIIMUsMNS6aFsuJixNNQrUQQgghxCyii4gg+4kn0EWbabznHnz9/aFe0owgoVoIIYQQYpbRGhcfl8bFCSShWgghhBBiFjIvXSqNixNIQrUQQgghxCwljYsTR0K1EEIIIcQsJY2LE0dCtRBCCCHELCaNixNDQrUQQgghxCwXbFxsaZXGxbMkoVoIIYQQQoxuXHxCGhfHS0K1EEIIIYQAIP6224j/8i10P/00A29K4+J4SKgWQgghhBCA1riY9tBDWuPig9K4OB4SqoUQQgghRJA0Lp4dCdVCCCGEEGIUaVwcPwnVQgghhBDiJNK4OD6GUC9ACCGEEJPP5/FzZG8Hhz5swePyYbZEEGWJwBwbEXhsxBwbuGaJwGQ2ouiUUC9bhFj8bbfhPHiQ7qefxlRaiuXKK0K9pLAloVoIIYSYwQb7XBx4v5mDHzTjsHqITzNjSTYx2O+iq9GKw+rB71dPep6iU4iKMQZDdjBwx0Zgtgxfj4qNICrGiE4vb37PREONi67aOloefJCIgnxMxcWhXlZYUlT15P+RpoNly5ape/bsCfUyhBBCiLCjqiqtR/up2t7Esb2d+FWV/IVJLFqTTc68xFE70KpfxWX3Yre6cQy4sVvd2AeGHzsGtH/WHnvwef0nf0IFLYDHaiF7OIQbg8HbPCKE6w0SwKcbT3sHx2+5GV2UmYKtz6OPiwv1kqaMoiifqqq67Iz3SagWQgghZgav20ftJ+1UbW+iq9FGpNnAvJUZLLoki7gU8zm/vqqquJ2+0wTuQBi3Dl3z4HWdurkt0mwY3uUOBm5j8PHIshRDhP6c1y0mhn3vXurv+irRKy4g56mnUPSz4/dGQrUQQggxSwx0Ozj4fjOHPmzFOeghMTOasjXZFJ+fjjEydMHH4/KNCtqOz+yCa9c82AfcuB3eU76G0aQfrvsOlqAYR4XvoVIUY6QeRZE68MnUu2ULbY/8hKS77yb1ge+FejlTYqyhWmqqhRBCiGlIVVWaa3qp2t7M8YpOAAqWpFC2OpvM4viwCJfGSD1xKVHEpUSd8V6vx4fD6hne6T5FCO9tt9NS14dz0HPK1zAYdaNqvc2xo2u/R5agRJoNYfHfaLqRxsXTk1AthBBCTCMel4+aj9qo2t5ET8sgpmgj5VfksfCSLGITTaFe3lkzGPXEJurH9DX4fH6cVs/n1oFbu520nxjAaXVzqjfldQZF2+X+TMlJ1Gd2wc2WCEzRMglliDQunp6UfwghhBDTQH+nnartzVTvbMXt8JKSG8ui1dkULUuVuuPP4ferOG2BHfBT1X4PeEaVp/h9Y5+EMhTAR5agRMdFhuCrnHqzqXFRaqqFEEKIaU71qzRU91C1vYn6A93oFIW5S1NYtCaH9DkWKV+YYKoamIRy2jpwz6gdcZ/n5Ekoxeenceld89HPghGDwcbFCy4g5zczt3FRaqqFEEKIacrt8FK9q5UD7zXT124nyhLBsmvyWXhRFtHxs2MnNBQURcEUbcQUbYSM6M+9V1VVPM4RjZhWN21H+9n/TiNej58r/n7BjB8dOHTiYtsjP6HziSdnTePi6UioFkIIIcJEb9sgVduaOLy7DY/LR1qBhS/+XSmF56XO+IA23SiKQkSUgYgoA/Fp2rjCueWpxCSY+HBrHX/97QGu+sZC9MaZ/fsmjYvDJFQLIYQQIeT3q9Qf6KZqWyON1b3oDApFy9IoW5NNap4l1MsT47T4shz0BoX3NtfyxlOVXP2tRTO65l0aF4dJTbUQQggRAs5BD9U7WjnwfhMDXU6i4yNZeHEWpRdmYrZEhHp54hwd2tHCtmcOk1WcwLXfKQvpvPCpMJMbF6VRUQghhAhD3c02Krc1UftRG16Pn8yieBatzqZgSfKsaG6bTWp2t/LuH6pJnxvHdfcsJsI0swsE7Hv3UX/XXTOucVEaFYUQQogw4ff5OV7RReW2Jlrq+jAYdRSfn8aiNdkkZ8eGenlikpRckIHOoOPt/z7Eq4/v5/p7FxNpNoZ6WZPGvLSc9H/6J9oeeYTOx58g9R8eCPWSppSEaiGEEGKSOKxuDn7YwsH3m7H1uohNMrHiprmUrsrUJkyIGa9oWRp6vY43f3+AVx7bzw33L5nRv/cJ6wKNi7/9rda4eNWVoV7SlJHyDyGEEGKCddQPULWtibo9Hfi8frLnJbBodTb5Zcno5GS+WelEZRd/+W0VCenRrL1/CVGxM7du3u9203DHnTjr6sjfsnnaNy5KTbUQQggxhXxeP0f3dVC1rYm2YwMYIvXMuyCdRauzSTzDzGMxOzQc6uaNp6qIS4nihvuXzOjTF2dS46KEaiGEEGIKDPa7OPh+Mwc/aME+4CYuJYpFq7OZtzKDyCipshSjNR3u4c+/riQmwcTa75UTkzBzg/VMaVyUUC2EEEJMElVVaT8+QOW2Jo7u7cDvU8ldkETZmmxySxNRpMRDfI6WI328/ssKomIj+NID5cQmmkK9pEnTu+U52h55hKRvfnPaNi7K9A8hhBBignk9Po7s6aByWxOdDVYiTHoWXZLNwtVZxKeaQ708MU1kFsZzw/1LeO2JCl76j72sfaCcuJSoUC9rUsymxkXZqRZCCCHOwNrj5MD7zRz6sAWnzUNCRjRlq7MoXp4+42cPi8nTUT/Aq0/sxxihZ+33yoPHnc80frebhjvvwllbOy0bF6X8QwghhDgHqqrSUtdH1bYmjlV0gaqSX5bMojXZZJckoChS4iHOXVeTlVce249Op7D2gfIZ29Q6nRsXJVQLIYQQZ8Hj9lH7URtV25vobh4kMtpA6apMFl6chSV5Zr5FL0Kru8XGK4/tB1XlhvvLSc6OCfWSJsV0bVyUUC2EEEKMw0CXg6rtTVTvbMVl95KUHUPZmmyKvpCGMWJ6fPMXoaGqKoO9PfR3tJOSX0CEafw/fPW123n5F/vwenysvb+clNyZedLmdGxclEZFIYQQ4gxUVaWpupfK7U2cqOpCURTmLEmhbE02GYVxUuIhRvG4nPS2ttDT0kRvS7P2sbWZnpZmPE4HAIlZOdz84E+wpKSO67Xj08zc+P1yXv7FPl55bB/X37uEtALLZHwZITWTGxdlp1oIIcSs43Z6qdmtlXj0ttmJijWy4KIsFlyUNaPnBoszU/1+rD1d9LQ009vSpH1s1QK0tatz+EZFwZKcQkJGFomZ2SRkZhFhimLbH36LwRjBjT98mLQ5heP+/APdDl75xT4cNg/X37OYjML4CfzqwsN0a1yU8g8hhJhkzkEPbqeX6LhI9AZdqJcjxqCv3U7l9iYO72rF4/SRmhdL2ZpsCs9LQ2+U38PZxO10BHebgwG6VQvQXpcreF9EVBQJGdkkZmaRkBkI0BlZJGRkYow8eb50d1MDf/q3h3FarVz/wI8oKD9jFjuJrdfJK4/tx9bn4rrvlJFVknBOX2s4mk6NixKqhRBiEnndPp59ZDe2Hu2bb5Qlgpj4SKLjI4c/Jmgfhx7L6LXQUP0q9Qe7qdrWRMOhHnR6hcLzUlm0Jpv0gvD9Ri7Ond/vw9rV+ZldZ+2jrac7eJ+i6LCkppKYkUVCZiBAZ2STmJVNdPz4J73Yent46dGf0NlwnC9+/TuUXXbVuNc+2O/ilcf2Y+1ycM13ysiZnzju1wh3wcbF5cvJefo3Ydu4KKFaCCEm0ad/PcHul4+x/IYCVBVsvS4G+1zBj85Bz0nPMZr0o4N3wtBHU/B6VIxRTuObIC67h+qdrVS918xApwNzXAQLL86i9MJMouOkxGMmcdkHR9Q5j9519nmG/1+MjI4mMSN7eMc5M4vEjCzi0zMxRERM6JrcTgev/+JRju//lOU33saq224fdzi3D7h59fF99LU7uOruheQvSp7QNYaD6dC4KKFaCCEmidPmYeNDu8gsjOPa7y4+5T1et4/B/uGgbevTHg+OfNzvRvWP/jtYp1eIjjt5l3vkDnh0vJSbfJ7uFhtV25up2d2K1+0nY24ci9ZkM6c8Bb1e/rtNV36fj/7O9uEGwZZmelqb6Gluwt7fF7xP0emIT0vXSjQCu86JgV3nKMvUNp/6fT7e+f2vqPrbW8y/aA1Xfus+9AbjuF7DafPw6hP76W62ceU3FjJnScokrTZ0Wh/6MX1bt5L12GNh2bgooVoIISbJh1vrqPxbI7c9dD5JmWc/T9bvV3EMuIMhO7jb3efUQnefG1uvE6/bf9Jzo2KNgcBtGl1yMmIHPCJq9pSb+H1+TlR2U7m9keaaPvQGHUXnp1G2OnvGjiabqRw263CpRuBjT0sT/e2t+Lze4H2mWEugXGPErnNmNvFp6eMOrpNJVVU+fnkrH275IzkLyrjh+/+IKXp8f2+47B5ee7KCznorl//9AgrPG99kkXAX7o2LEqqFEGISDHQ5ePaR3ZScn86ld86f9M+nqipuh3dE4B7xsXf445jKTU6q8zZN+3ITp83DoR0tVL3XhK3HRUxiJIsuyWb+qgyiYib27XwxcXxeL/0dbScF596WJhzWgeB9Or2e+LSM4TrnzCwSM3NIzMwiKnZ6jZs79ME23nzqcRIyMrnpwZ9gSR7fjrPb4eX1X1XQdrSfy75aSsny9ElaaWiEc+OihGohhJgEb//PQY7u7eT2n15ATMLJnf+h4vX4GOxzM9jnxDZi13vkDvjnlZucVGoysuQkLjLsJmN0Nlip2t5E7Sft+Dx+skriKVudQ35ZEjop8QgLqqrisA6Mmuk89Li/ow2/zxe81xwXHxhNN6JkIzObuNR0dGHavHY2Gg5U8Mp//B8iTCZu/NEjpObPGdfz3U4vbzxVSXNtH5feMY/5KzMnaaWhEa6NixKqhRBignU2Wnn+Xz+hdGUMydl9NB06QERUFHllS8kpXUSk2RzqJX4uv1/FYXWPLjUZVXIyhnKTk+q8TcPTTSa53MTn83NsXydV25poPdqPIUJHyfJ0Fq3OJilrZh7rPB14PR7621tHj6YLhGfnoC14n95gID49c1SpxtB4OlPM7Pn962o4wZ8efQTX4CA3PPAj8pecN67ne9w+/vJUJY3VvVyyoYSFF2dN0kpDo/e552l7+GGSvvENUr//D6FeDiChWgghJoytp5vGg5V8+Pw2rN1HUX39AERZ4vC4nHhdLnR6PRlFJeSVlZNftpS0uYXodOGxyzIewXKTzzRVfrbu22k7RblJpP60jZVD18yxEeMuN7EPuDn4QTMH329msN+NJdnEotXZzFuRgSk6fGpnZzJVVbH3943YdW4MBOhm+jvaUdXhH8SiExJH1TprITobS0rKtPx/YjJYe7p46dGf0NVYzxXfvJeFay4f1/O9Hh9//e0B6qu6ufDWIhZfmjNJKw2N1h8/TN/zz5P12C+wXDX+cYQTTUK1EEKcJftAP02Hqmg4WEXjgQp6Wpq0f6FEkpI7j4VrLiB3YRlJ2bn4vF5aa6s5UbmP+sr9tB8/AqpKZHQ0uQsXk1+2lLyyJcSlzqz6x+Fyk8Aud697VJOlrdeFvd+N/7PlJjoFc/zQTG/T6NGCQ+E7UG7Sdryfqu1NHPm0A79XJbc0kUVrsslbkDSt68DDmdftpretRdttbg6MpQvsQLsd9uB9BmMECRmZI2qdh3edw/0dm3Dhstt57Rf/Rn3lPlbcsp4Vt2wY12QSn9fPW78/yLH9nay4aS5Lr8ibxNVOrXBrXJRQLYQQY+Sy22mqPkDjwQoaDlTSWX8cAGOkiez5C8hZUEbNx0Z8vkRu/+nKz60vtg/003CggvrKfZyo3IetuwuA+PQM8sqWkl9WTs6CslkRPE5ZbnKKHXCvy3fScyPNBlx2L0aTnnkrMlh0SRYJ6dEh+CpmHlVVsfV2azvOzU30tA7Pdx7o6oARuSAmKXnUgShDO8+xSckoOqldP1c+r5e3f/dLDm5/hwWXfJHLv3kPesPYy6h8Pj/v/M8hjuzpYPkNBSy7pmASVzu1wqlxUUK1EEKchsflpLmmmsYDFTQerKLtWB2q34/eaCSrZD45CxaTs6CM9LlF6A0Gaj9p4+3/OsQX/258HfeqqtLT0kR95T7qK/fReLAKj8uJotORUTSP/LJy8srKSZ9bNKOascZDVVXcTh+2Xufoxsp+N0mZ0ZRckC4nUZ4jj9NJ29Fammuqaak5REvdYVyDg8F/b4w0BWY6ZwWDc0JmNgkZmUSYokK48tlBVVV2vbCZXS9sIq+snOsfeHBcP3T7fX7+9sfD1HzUxrJr8jn/+oIpncU9mcKlcVFCtRBCBHg9Htrqamg4WEnjwUpaag/j93nR6fWkzy0md2EZOQsWk1k876RT1XweP5t+spuIKAO3PviFcyo78Hk9tNQeDobstmOBUhGzViqSFwjZ8Wkzq1RETC1rTxctNYdpqTlEc001nfXHgpM2krJzySyeR0r+nOCuc0xi0owJYdPZge3v8PZvnyQpK4cbH3yE2MSxn57o96tsf+Yw1TtbKb8ilxU3zp0xv6fh0LgooVoIMWv5fT7ajx+h4YAWopsPH8LrdoGikFYwl5wFZeQuXEzWvNIz7sRVvNvIh1vruP6+xeSWJk3oOh3WgeFSkYp9WLs7AYhPy9AC9uJycheUEWmWsgdxan6/j66GelpqqmmuOURLbTUDnR0AGCIiSS8sIrN4PlklpWQUzyMqRg7CCWcnKvby2i/+jQhzNDf96BFScvPH/FzVr/L+lloOvN9M2aXZXPjlohkTrEPduCihWoQdn9eDw2rFMdCPwzqAwzqAfaAfx4D22GgykZKTR3JuPolZ2WF1IpYIb6rfT2fDCRoPVtJwsJKmQweCTVXJOXnkLCwjZ0EZOfMXjWt0l8vh5Zl/3kVyTgw33L9kUr9BqapKb2szJyr2UV8VKBVxOrRSkcKS4C52RmHxrC0VEeB22Gmpq6GlppqW2mpa6w7jdjgAbepGVvF8Mku0X6n5c+Tv0Wmo48QxXnr0EdxOJzd8/x/JW7RkzM9VVTVw4msTCy7O4pJ1xTOiqdfvdtP07e8Qv+42LJePb1LKRJBQLSaV6vfjstu1UBwIyI5RjwdwWIcDs32gf1Tn+GdFRkfjcbrw+7QjaHV6PQkZWSTn5pOSm09ybh7JOXlYklOlOUYEA2jDgUoaD1TQcKgKZ+AUtvj0DHIXLNaCdOkiouMTzvrz7H75KJ/+tZ4vP7iM1LypPb3N5/XQWltDfZXW8Nh2tC5YKpKzoIz8xeXkLSonPj1jStclpo6qqli7OoM70M011XTVn9DG1ykKKTl5ZJaUklkyn6yS+VhS0mbMzuRsN9DVyUuPPkJPSxNX3H0fCy65bMzPVVWV3S8fZe+bDcxfmcHq2+ehmwHBWlXVkP35llAtxsXjdmkB+DQhORieAyHZYR1A9Z98QARoo5aiLHFExVqIslhGfTQPXY+1BO8xxcSiNxjweT30tjTT2VhPV8MJ7VdjffCtTACjKYrknFySc/NJzsknJVfb2Z5ux9WK8evvaKfhYAWNB7Td6MHeHkCbTpC3UGsszFlQNu6jf09nsM/FMw/tomBJClf8/YIJec1z4bBZaaiq0EJ2xV6sXVqpSFxautbwuKicnIVlmKJnzyEaM43P66Wz/rhWC12r1UTberoBrZkwo6iEzJJSsornkVE8T8qCZjiXfZBX/++/0nCgglW33s7ym24bc6hUVZWPXz/Onj+foHh5GpfdOV9OGj0HEqpnMb/fh9Nm00LxwGdC8WnCstflOuVrKYoOU2xsMAibTwrLcSf9O0Nk5IT+NOmy2+kaCtqNJwKP63HarMF7ohMSSQ6UjqTk5pOck0didg7GiMgJW4eYWkMHrjQcrKLxYAX9He2AdpxxzoIycheUkbOwjPi0jEnZvdj2zGEO72rlKz+5AEtyeE1A0HbqW6iv0hoeGw5UaqUiio70ouJgyM4oKpFSkTDmHLTRWntYm8pRW03rkZrg38WxSSnBHejMklJScvPl93IW8nk9vPX0kxx6/28suvQKLvv774xr5N6eN07w0avHKDwvlS9+rRS9BOuzIqF6hlBVFY/TgX2onGJot3hUMB4YFZidg7ZRc0ZHMpqiMA8F4s+E4ihL3Ek7ypHR0WF5Apaqqgz29tDVcGLEznY93c0N+DzaSW+KoiM+PSNQOjJcRhKXlh6WX9Ns57AO0HioKljSMXTgSmR0NDmli8hZsDh44MpkvwXY0zrIlp9+xKI12Vx0a2gPHRgLn9dLa91h6qv2U1+hlYqoqp+IKDO5C8vICxxAM1k/gIgzU1WV/vY2rZQjEKK7mhpAVVF0OlLyCsgKlHJkFs+fsHdcxPSnqio7tz7L7j9tIX/JeVz/vR8SETX2kXv73mpg54tHKFiczJVfX/i5c/bFqUmoDlNnatY7VfmFz+s95Wvp9PqTQ3Fw13goOAeCssVCVIzlpHFhM43f56O3rYWuhvpRu9t97W3BHzQMEZEkZeeSnJsX2NXWwva51N6K8TvjgSsLF5O7oIyU/IIp/yHojacqaarp5Y6frSAqdvr9P+O02Wg4WEF9hVaPPdCp7fLHpaYFGx5zFyweV9OmGB+f10P7saPBsXYttdXY+/sAiIgyk1k8L7ATXUp6YbHMgxZnVPnum7zz+1+RnJvPTT98mJjEsU8jqtzWyAfP1ZG3MImr7l6IwSgbS+MhoXoKnLlZb3Qd8pma9UzRMURZLJg+W3t8qjILi4WIKLPsOo2Rx+mku6mBzkZtR3uoXnvomxxAlCUuUEIyvLOdlJMr3+wmiMflpKXmcLAu+kwHroRK65E+XvyPvSy/YQ7LrskP2Tomiqqq9LW3BgN248EK3I5AqUhhUXAXO6OwJKT/3ac7h3Ug2EzYUlNN+9E6vB43oNW9a2PttFKOpOwcebdMnJXj+z/ltV88iikmhpt+9AjJOWM/mvzgB81sf7aGnPkJXP3tMowR8mdwrCRUT4IPNv0/WuoOT2qznpha9v4+OhtO0N1YT2dDfbBme2SNeVxa+qimyOScfBIyMqW+8Qx8Xg+tdTXBWdGtdYfxecd24EqoqKrKiz//lIFuJ7f/dAXGyJn3e+zzemk7UsuJyn3UV+6l7chQqUgUOQsWk1e2hPyycuLTM+WH9tMYmj4zVMrRXFNNb6BcSac3kFYwl8ySedpkjuL5xCQkhnjFYiZpP36Ulx59BK/bzQ3f/ydyF5aN+bnVO1v428bDZBXFc813yuS00jGSUD0J3vn9r+hqbPhMs95wHfJkNuuJqaP6/fR3tAd2tYd3tntbW7RRVoDeaCQxK0fb2c4JlJHk5s/qk8km8sCVUDm2v5O//KaK1V8pYcFFWaFezpRw2mw0HqzkROVe6iv3BRtCLSlpwYCds3DxrD40xOt203asbsQBK4eDIxxNMbFaKUfggJW0wiJpkBaTbqCzgxcffYTe1hau+s73mH/h6jE/t+ajNt79f4dInxPHdfcsJiJKgvWZSKgWYoJ53W66mxsDu9ongjXbQyOvQCvhSQpOIckL1mvPxNFXqt9PV2M9DQcqaThYMWEHroSK3+dny88+BmDdQ+fP2vFTfW2twV3shgOVuB12FEVH2txCbapIWTkZRfNm9Dtrg329I0o5DtF+7Ghwhn5CRlawmTCrpJTEzCyZnS9Cwmmz8er//T80HqriwnV3cv6XvjzmTZ0jn3bw9n8dJDk3luvvXYwpWg4J+jwSqoWYIg6ble6G+tE72431o+rnY5NTAjXaedP21MipOnAlVIbqn2BprwAAIABJREFUDa/+1iLmLJHJC6C9+9B6pJb6yr3aATR1taiqH6MpipwFiwIheykJGdO3VET1++luaqCl9nCwnKOvvRUAvcFA2txirRY6cFKh2RIX4hULMczr8fDmU49xeMd7lH3xKi772rfHXJp4bH8nb/7uAImZ0ay9vxxTzPT5fjTVJFQLEUKqqmLt7qSrIbCrHdjZ7mluOsOpkflYUlLDJqAED1w5WEXjgQpsk3zgSqh4XD6eeWgXluQobvrB0rD57x9unINaqUh9pdb02N/eBmg/NA4F7NxF4V0q4nE6aTtaG9yFbqk7jGtwENCalYeaCTOL55M2pxCDUYKGCG+q38+Hz23k45e3UlC+jOu+98Mxl9idqOrir08fID4tihvuL8dsCY/+lnAjoVqIMDSWUyMjoqICO9qBne0pPDXS1tujHbhyoDIkB66Eyp43jvPRq8e56QfnkTFXdiLHqq+tNXDC4z4aD1bisg+CopA+p5C8sqXkl5WTUVwS0ndkrD1d2lzoQENhZ/0x/D4fAEnZucGxdpnF86Q5U0xrFW//hXf/6ylSC+Zw4w8fHvM7ho3VPbzx60pik0ysfaCc6DjpCfgsCdVCTCMuu53upvrhne3A6L/JPjUynA5cCRWH1c3Gh3aRXZLANd8eexe9GM3v89F2tJYTFdopj61HalD9gVKR0oVayF5cTkJG1qT9WfL7fXQ11I86YGXoB1ZDRCTphUXBA1YyiuaF9Y66EGfj2N5PeO2xRzFb4rjpRz8hKTtnTM9rru3l9V9VEh0XwZceKCcmwTTJK51eJFQLMc2N+dTIjMxgnbZWQnL6UyOHD1yppOFg4MAVVQ2LA1dC5YPnaql6r5n1Pz6fhPSZ11AaKi77IA0HK6mv2Ed91T762rQ65dikFPLKyslfXE7uwsWnfAfG7/bh7XKgMxnQJ5x+kpLbYaelriYYoFvrDuN2OADth9CsYq2UI6tkPin5c2Z0c6UQQ9qO1vHS//cT/F4va3/wz2TPXzim57Ue6eO1X1YQFWNk7ffKsSSH55SmUJiSUK0oSjzwe2AhoAJfA2qA54B84ARwq6qqvYr2t+LjwDWAHfiqqqp7A69zF/DPgZf9F1VV/3Cmzy2hWsxWfp+PvvZWLWw3jO3USPtAf1gfuBIq/Z0ONj2ym3krM1jzlXmhXs6M1tfeRn2ltovdcKACl32QCH0Uebll5OYsICk2G5PHhLfTia9veE68EmUgIisGY2Y0vlg/nYNNNDVV01JXTVf9CW3MpaKQkpMXDNCZJaVh1ZsgxFTr72jjT//2CAMdbVz13X9g3sqLx/S89uMDvPbkfowmPV96oJy4lLEfhz6TTVWo/gPwgaqqv1cUJQIwA/8I9Kiq+qiiKD8CElRV/aGiKNcA96KF6uXA46qqLlcUJRHYAyxDC+afAuepqtr7eZ9bQrUQo33eqZHhfOBKKL31+wMcr+ji9p+tIDpe6ggng6qq+K1uPO12vB12PJ0OPO2DuFut4Bz+/uP1e7D5evFF+4nMjCNxXg5em5vBIx34u7yYPFHoFe3dE4/fhd0wiJJsIHpuCsnlhZizE1B0EqKFGOKwWXnl5z+j+fAhLr79ayy77sYx/aDZ2WDl1cf3ozcorH2gXN7BYwpCtaIoFqACmKOOeBFFUWqA1aqqtiqKkgFsV1W1RFGUpwOPN4+8b+iXqqp3B66Puu90JFQLMTb2gX4MERFhe+BKqHTUD7D13/Zw3tV5XLB2bqiXM+2pfhVfr1MLz512PB0OLUR32FFdvuB9ismAMTUKQ6oZY6oZQ6oZNRZammuoP7Cf+sp99La2jHrt2OQUsopKyclaQEpMNpHOKLwtg7hbB8GrHcikROgwZsYQkRmDMSuGiKwYDClmFL0EbTF7ed1u/vLrX1C76wOWXHkta776zTGV9nU323jlsX2gKKz93hKSMsP/rIHJNNZQfS7v984BOoH/URRlMdoO8/1AmqqqrQCBYJ0auD8L/n/2zjw+qrte/+8z+5aZyb5BCBC2sIQdQout3Vva0kLd96r1Xq9Lvdel15+1VavWXXvVq161WncFWkopbcW22pawQ9gCKZANkpB19n3O9/fHTCYJJBAge77v1yuvCTNnzpwsnDzznOf7fGjo8fwzyfv6u18ikQwCslf3QoQQ7Nh0CpNNz+Jbpoz04YwpREwl1hYk2hJIieZYS5BoWwBi3SaNJs2APseMZXFOSjzrcyxobPo+3bKSwnJKlpcD3VWOeqOJwlmlpGVm9X0scUGsNUDkrI/oWR+Rsz78e5oRO5JCW69Bn29NiOyk2NbnWlAm6GAfycRDZzBw56c+x7+ystm7ZRPe9jbWfOpz6I0XX4iYWWjjnv9czOYfHuCZ7x9g7YMLyZokF/ZeiqsR1TpgMfBJIcQuRVF+BDx0ke37sgvERe6/cAeK8gDwAEBRUdHlHa1EIpEkaTjWwdkTnVz79hlyRG8/qOFYQiy3JJ3ncwFirUFiHUFQkxspoE03oc+xYJzpRJ/dQzxfxffVkZPL/JxbLrmdolXQ51nR51lhSS6QcMxjbcEeQttLYH8L/orEQkl0iecYCm3dYjvPiqKTQlsyPlE0Gq577/3Ys3N45clf8NevfpF7P/9lLA7nRZ+XkW/l3h7C+u5PLyRnytBXu45lrib+kQfsFEIUJ/+9moSoLkHGPyQSyShFqIK/fGMP0VCMdz+6Eu0EF1NxXyQhnlt7O89xd/diQbQKukzzBbENfbYZRT/6W2KEKoi1B4k2+nqIbT8ilBjERFKc94yO6POsKPqJ/bshGX+c3LOTrU98B2t6Ouse+goZBZcOBnjagjzz/QOEA1Hu+tRC8qZNvKufw7VQ8TXgI0KIE4qiPAp0pdnbeyxUzBBCfF5RlDXAJ+heqPiEEGJ5cqHiPhKuN8B+EgsVOy722lJUSySSK+HEzia2/6aKWz48lxnLckf6cIYFIQRxd6SHaA6kHGjVH0ttpxg06LK7RLM5JZ51GaZxF5kQQhDvCHWL7MbErRpIfj80oM+xdovsQhv6fCsaw+h/EyGRXIymN0/w9Le/ilBV7vncwxTOLr3kc7wdIZ75wQGCngh3fqKMghkXd7nHG8MlqheSqNQzAKeBDwEa4K9AEVAPvE0I0ZGs1PsxcBuJSr0PCSH2JvdzP4nWEICvCyGevNRrS1EtkUgul1g0zh8e2YnZZuBtDy0dd20RIi6IdQS7YxstgaQDHUREuhcLaiy6bsc525JwoHMtaO3Gcfc9uRyEEMRd4VQ+u0twq/5ELzwK6HIsvR3tAisao4wQScYWruYmNj3+CJ62Vu745GeZueKaSz7H1xlm8w8P4OsMsebjC5g0O2MYjnR0IIe/SCQSyXkc+Hs9Ozae5O4HFzJ5DP9BENE40dbgBS0bsbYgxLvP6Vq7AV2upUfWORHf0Fj7XiwouRAhBHFPJCW0u25VbySxgQK6LHOvxZCGQhsakxTaktFNwONm83ceo/HN41z/vg+zZM09A3hOhM0/PIC7Ncgd/zaformZw3CkI48U1RKJRNKDkD/K7x+uILfYzl2fWjjShzMg1FCsR1yjWzzHO0Pdy7kV0GWYemedcyzoss1S2A0hcU8kFRlJiG0vcXck9bgu09QrOmIosKGx6EfwiCWSC4lGwmz78fd4c9cOFt9+N9e9/8OXrNwLeiNs/tFBOpv93P7AfIoX9N3OM56QoloikUh6UPH0Sfa/VM87/t+yUVUNJYRA9UXPyzon4huqp1ukoVXQZyecZl22BX1uUjxnmuWCulFC3BfpzmefSdzGO7sXfGozTBgKrOgL01LREa1NDmGSjCxCVfnn73/Fvq2bKVlWzh2f+ix6w8WHYYX8UbY8cZC2Bh+3fHQu0xflXHT7sY4U1RKJRJLE2xHiD4/spGRxDjd96NKLcoYCoSbzuq0BYud6i2cR7LFY0KhNNWt0uc76HAvaDNOEzjuPVeL+aHfrSPI23h5KPa51GHs72oU2tGlSaEuGn/3Pb+aVp35JfslM7vn8ly854yAcjLHliYO01Hm5+UOl43rhtxTVEolEkuQfT1VRvbuZ9zy6EnvW0E6WFHGVWHso5Tp3OdCx1iAiqqa201j1vRo2um61doPMO49z1GCsd3Sk0ZfIwyf/HGvshl75bEOhDY38vZAMA2/u2sHz//NdbJmZrPvvr5CeV3DR7SOhGM/9uJLmU25u+MAcZq/MH6YjHV6kqJZIJBIS43b/8thuFtw4mWvvmzGo+465QkRqPL2jG+0hUHssFnQau53n3O7GDa1V5msl3ajhGNFGf6/FkLHWQLfQtumTkZFuV1vrNEqhLRl0GqurePrbX0MB7vn8lymYOfui20fDcbb+9BBnqzt563tnU3rNxYX4WESKaolEIgGe+0klTSfdvO9r5Zhsgydkg8c76PhjFSKiggZ0meYLO56zLWiMstdYcmWokTjRJj/RM14ijX6iZ71EWwKpiZYai65HtV8yOpJhkkJbctV0Np1l0zcfxdfRzh2f+iwzlq+66PaxSJxtPz9M/dEO3vLOmcy/ftIwHenwIEW1RCKZ8Jyt7uSZ7x+g/N7pLL51yqDt17erCdczJ9EX2EhfPwN9jkWOuZYMCyIaJ9LkT+SzzySiI9FzgVSVomLSYSjsObQmLTG8R+bxJZdJwO3imW9/jaZT1bz1Aw+w+Pa7Lrp9PKrywv8dofZQG9fcV8LCm4qG6UiHnoGKatm3JJFIxiVCCHZsOoUt3ciCtw6OayJUgeelOryvNmCalU7Gu+dIJ1oyrCh6LcYiO8Yie+o+EVOJNvt7LYb0vdHYLbSN2pST3RUd0WWZpdCWXBSLw8nbvvx1tj7xXV75zc/xtJ7juvfej6Lp20DQ6jXc9sA8/v6ro7yx4STxmMqS24qH96BHGCmqJRLJuOTU/lZaaj3c8P7Z6AZhtLSIqXT8rZpgZSvWFXk47y5B0UpRIhl5FJ0Gw6Q0DD2qIkVcJXou0GsxpG9nE8QS2RFFr0Gfb0VfkBi/biiwoc+zoOjlm0RJN3qjibv/67955Tf/x76tz+Bta+X2T/wXOkPfDTVanYZbPjKX7U8eY+czp1HjgqV3FE+YSJIU1RKJZNwRj6vs3HyKjAIrswZhNboaiNL2uyoiNW7stxWTdt2kCfNHQjI2UbQaDAWJoTPWZYn7RFwQaw10O9qNPgIHWhA7kyPsNaDLTo5hL7Ciz7dhKLDKoTUTHI1Gyw0f+hiO7Bz++ftf43N1cs/nvoQ5zd739loNN90/F61Ow+4tNcSjKivWTpsQ50wpqiUSybjj2GuNuFuCrPn4AjRXeYk71hGi7TdHiLWHyHjnLCwLx/eQA8n4RdEq6POs6POssCTRKSyEIN4RItrkT9T8NfoJn3IRONCSep7WaUzER5JCW19oReuQzSMTCUVRWHrXOtKyctj2k+/xpy9/nnUPPYozN6/P7TUahRvePweNTsO+F+qIx1RWrS8Z978zUlRLJJJxRSQUY8/WGgpmOJkyP/Pq9nXGS9tvjiJiguwPz8c47eLDECSSsYaiKInmmkwz5nnd46bjvgjRRj/RJl+ieaTRR6iqvbviz6JLxUe6nG1dlkVGosY5s8qvxZqezubvPMafHv4s937+y+SVzOxzW0WjcP27Z6HVKhzc3kA8Jlj99hnjOssv2z8kEsm4YveW0+zZWsv6Lywhb+qVi+BgVTsdfzyOxqYn60Pz0OdYBvEoJZKxR6rirynhaEcafUSb/RBL6gidBn1eV3wkGSHJs6IZhDUNktFFR+MZNn3zEfxuF3d++vNMX7Ki322FELyx8SSV2xsovbaA6989a8wJa1mpJ5FIJhwBT4TfPVzBlLkZ3PbA/Cvej29nI67Np9AX2Mj64Fw5Nloi6YdUTjsZHUlktf2IUCyxgQK6bHMyn50U2gU2OfxoHOB3dfL0t75KS80pbrj/31h4yx39biuEYOfm0+x/oY7ZK/N46/vnXHU0bziRlXoSiWTCsWdrYlHMyrXTr+j5QhW4X6zF988zmGZnkPHu2dJlk0guQq+c9uLEfUII4q5wSmBHG31Eaj0EK1tTz9M6DIl8doE15Wxr02VOeyxhdabzjke+yXM/+hb/+NVP8bSeY/W7PtBn5Z6iKKxcOw2tTsOe52qIxwU3fXAOGu346veXoloikYwLXOcCHHutkbnXFuDMvfyohoiqdPztBMFDbVhX5uO8a7rMh0okV4CiKOjSTejSTZjn9shp+6Op6EiX4A6d6EjltBWTLrkY0prq1dZlm1HGmfAaT+hNJtZ+9ku8/OTP2fPsRjxtrdz28c+g0194JUJRFJbfORWtTknW7anc/OG5aMfRz1eKaolEMi7YufkUGr2GZXdOveznqoEobU8dI1LrwXF7Mba3yMo8iWSw0Vr1aEvSMZWkp+5TI3Fi57riIwnB7d/djIgmZ7HrFPS5CaHdNY5dn2eVQ5dGERqtlhs//O/Ys3N47Y+/wd/ZwdrPfgmTzdbn9ktuK0ar0yQHxBzhto/OQ6sfH8JaZqolEsmYp7nGzcZv7WPZmmKW3zXtsp4b6wjR9uQRYh0hMt4+C0tZ9hAdpUQiGQgiLoi1B1Nd2l3OthrokdPONKfy2YbkABu59mHkqXrjn7z40x/gyM1n3UOP4sjJ7Xfbw6+e4V9/rqZobga3f2z+oAzpGirkQkWJRDIhEELwzPcP0Nns571fK8dgGvgFuEiDl7bfHkXEBVnvL8V4FW0hEolk6BBCEPdEiHYNrmlKCO14Zzi1jSbNkIiPFHRntbXppjHXNDHWaTh2mM3ffQyd3sC9X3iE3Gkl/W579LWzvPrHE0yalc4d/74A/Si9AiFFtUQimRDUHm5j608O8ZZ3zmT+9ZMG/LzgsXY6/nQcTZqBrA/OlZV5EskYRA1EkwI7IbKjTT6iLQFIpkcUo7Z7DHuX4M6xoOjGR9xgtNJ+poFNjz9C0OPhzs98gWmLlvW77fGKJl5+qor8Eidr/mPBZRkjw4UU1RKJZNyjqoK/PLabeFTlXY+uGPCCF19FI65nT6EvtJH1AVmZJ5GMJ0RUJXrO392lnezWFpGk0tYq6HMsvRxtfb4VzSgUc2MZX2cHT3/rK7TW1XDThz/Ogptu63fb6j3NbH+yitziNO785EKM5tH1s5CiWiKRjHuqdjTy8lPHufWj8yhZcunx4UIVuF+owfevs5jmZJDxLlmZJ5FMBITaldP298pqq/5oahttpglDgQ1dvglNnhZtjgZhjqKqQeLxQPIjSDzuT9yqAeKxQOI2eb+qRsjPW0dW1ltH8KsdPURCQZ77wePUHNzHinvfzjXveF+/i8BP7W/hpV8eJWuyjbs+tRDTKOoyl6JaIpGMa2KROH94ZCcWh5H7vrDkkm0dIqrS8dcTBA+3YS1PVubJrKVEMiYRQqCq4d5Ct5f47f5Q40FivT73d98X8ROL+BLiOB5AVUIITfTSB9ADjcaEVmtBq7WgqmEikTZmzvwykye9f4i++rGFGo+z/Zc/4fDLLzHn2uu59d8/jVbXt2CuOdTGC784TEa+lbs/vRCzbXRcRZTDXyQSybjm0Ctn8HWGuelDpZcU1HF/lPanjhGp8+C4Yyq21YWDUpkXDreiKAoGQ9alN5ZIJiCqGjvP6T3P7e3r/v6c4V73BUgFpweAomgTwldjQatL3Gq0ZgymdEzWQnRaCxqtBa3WjEaYwKcDrwbRqUF0CNR20ESNKHEjWo0ZQ1YGxtwMTHmZGArt6POsKDoN8XiQI0cfpLr6K4RCZymZ/gUUZWLntzVaLTc/8EkcOXm8/uen8HV2cPd/fRGT9cLKvakLsrjj3xew7WeHeeb7B1j74CIs9tEhrAeCdKolEsmYI+SP8rsvVZBf4uDO/yi76Lax9iBtTx4l5kpW5i24usq8eDxIa+tLNDVtpKNzByAwm6fgdCzB4ViMw7EEq7Vkwv8hlYwdul1ff/+C95JCt/sxNR4gFg+gqgFUNXJZx6LRmNFqzSnnV5sUulqttff9mj7uS21rueA+RTFc1RtpEVOJngukhtd0ZbVFOJ48cAV9jhl9gQ3LsmxqIz/i7Nnfk5OzhtI530GrNV7xa48njr32Ci/+749Izy9g3X8/ij2r79hew/EOnv/JIdIyTax9cBFW58h+/2T8QyKRjFve2PAmB//RwDu/tJzMwr4HDECyMu83R0EIMt9firH4yirzhBC43ftoatrIuZbnicd9mEyTyc9fh1Zjwu3ej8u9j2i0AwCdzoHDsSgltO32MrRa8xW9tkRytQghCAbr8XgqEx/eQ0Qibb1EcWqs4QBQFN2FIraHA9xTBGu0lqQLnNiupyOs1VoT4liXvNWax9SbUaEK4h2h7sWQjT4iDV7UYAzrqnxcc7dzuvY7OB3LWLDgZ+j1zpE+5FFB/ZFKNn/36+hNJtY99Cg5xX3PFmh8s5PnfnwIi93A2s8sIi3DNMxH2o0U1UPAc889R3t7O06nk/T0dJxOZ+pzm80mJ7BJJMOApz3IHx7Zycxludz4gdJ+twsebafjz8nKvA/NRZ99+ZV5oVAjTU2baGreRDBYh1ZrISfnDvLz1uN0Lu0lABLCpRaXex9u1z7cngP4/W8CCRGSZivF4VyCw7EEp2MxRmP/QxEkkqshGnXh8VTi7hLRnkOpN3wajYm0tHmYTAW9HeALRPGFbm9KKGvGzuX44UaNxHFvq8Ff0YQ200T81tNUtz+K2TyZhWW/xmweeO3neKatvpaNjz9K2O/n7s88RPHCJX1u13zazZYnDmK06rnnM4uwZ42MOSFF9RCwfft2amtrcblc+Hy+Xo/pdLqUyO5LdJvNZim6JZJBYPuTxzi5v4X3fGVlv86Fb0cjri2n0E9KI+sDpWgvY7FLPB6gJRnv6OysAATp6eXk560jO/tWdDrrgPcVjbpwuw8khLZ7Hx5PJaqaGFZhMk1KOtlLcDiXYLPOQFFkE4nk8lDVMF7fcTzugykhHQzWJh9VsFpLsNsXYrcvwGFfiNU6E41GLqcaasKnXXRseJN4RwhxbRun076KRmukrOyX2NPmjfThjQq8HW08/fhXaGuo4+aPfoL5N9zS53YtdR6e/dFB9EYtax9chDN3+GcKSFE9xESjUVwuFy6Xi87Ozl63LpeLYDDYa3uDwdBLbJ8vuo1GmbeSSC5F2xkvf/n6HhbdXMSqdRdO6RKqwL2tBt9rZzGVZpLxzlkDqszrK95hNhWRn7+OvLx7B81dUtUIXl8Vbte+lNCORFoB0GptOByLUk623b7wsgS8ZPyTuBpSlxTPCRHt9VYhRCK3bDDk4LCXpUS03T4fnS5thI964qJG4nheqMW3o5FoYStnF3yPGB7mzfsfsjKvH+nDGxWEAwG2/OCb1B06wMr172TV297TpwHZ2uDl2R8dZP51hSy/q++4yFAiRfUIEwqFLiq6I5HeizfMZnO/otvpdKLXj56+RolkpNjyxEHO1Xp479fKL+gwFdE4HX+tJni4DduqAhx3TrtkZV4weJbm5q54Rz1arTUR78hfj9OxdMivLgkhCIXOpAS227UPn78aECiKFpttdsLJdizG6ViCyVQwpMcjGV1Eo52JCIe7Eo/nIG7PIWIxF5BY0Ge3z8duL8ORFNFGY768IjoKCZ9207GhmrC/icZrf0xIW8us2V+jsOAdI31oo4J4LMbf/+/HHH11O3Ovu5GbH/hEn5V7vs4QVqdxRH7HpagexQghCAQCFxXd8Xi813NsNlufDrfT6cThcKDVysvGkvFNw/EOnv3hQVatL2HRzUW9HutVmbdmKrZr+6/Mi8cDtLS8SFNzV7wD0tNXkZ+/npzsW9BqR3ZceTTqweM5gMu9PxUZSSwkA6MxPxEZcSaEts06W17KHyeoahivtyopnhMiOhisTz6qYLXOSIrnMuyOhVgtJfJnP4bocq09u07RuPRn+B2VFBd/gmlTH5RvhEjoop0b/8yOv/2BovkLufs/v4jRMrLn4p5IUT2GUVUVn8/Xr+h2u930/LkpioLdbu9XdKelpaHRjJ0V1RLJ+QhV8LfH9xL0RXjPV1ai03e/iexVmfeOWVjmX1iZJ4TA5dpDU/MmWlqeJx73YzYXkZ+3PhnvKBzOL+eyUNUYPl8Vbve+lNAOh5sB0Gqt2O1l3dlsx0J5uX8M0LWotUs8e9yVeH1VCJEYOmI05GJ3JGIcDnsZaWnz0On6b7mRjB3Cp920bzxGY+7PcU96jbzse5gz95ty8WeSo//8By/9/AkyCydz70OPkpY5OmYASFE9jonH43g8nn5Ft9fr7bW9RqPpdwGl0+nEarXKd8qSUc2be87x0q+OcuMH5zB7ZX7q/nC9h/bfHgVBn5V5weAZmpqfprlpE8FQPVqtjdxkvMPhuPQUxtFKKNSIy7U3VeXn8x0nMQhDwWablcxlJ4S2yTQ4g24kV04k0pGqs0tkoQ8Ri7kB0GotpKXN785CO8owGfNG+IglQ4kaieN+sYa65v+lffozOEwrWLj85/INcZLaQwfY8v1vYDBbWPfQo2RPmTrShyRF9UQmFotdILh7fh4IBHptr9frLyq6zWbZrysZOeIxlT8+uhO9Ucfb/98yNMmcdPBIG+1/PoHW3rsyLxHveCHR3uHaCShkpK8iL3/dqIh3DAWxmA+Pp7JHnd9B4vFEQ5HRkJsYSuNMCG2bbQ4ajVyjMVTE42F8vqPddXbuSoKhrhiHBpttJva0BdgdC5NtHCWy9WWCEq5xc/qVX9BY9H+YRRGLVvwWs330XjUbTlrratj0+KNEgkHu/s8vMmXBwhE9HimqJf0SDodTQrsvpzscDvfa3mg09im2u24NBnnZSjJ0VL7cwOt/fZM7P1nGlLmZAHjfOIv7udMYJqWR+YFSNFZdIt7RtJGW1heS8Y4p5OevJz/v3gm3wE+IOD5fdTIyklgEGQqdBboWuC3AmZz+6HAsRq+/sqE4Ex0hVAIyr1NPAAAgAElEQVSB2h456Ep8vuPdMQ5jXjLCsQC7fWEyxiEbXcY6iQXGIfx+P4FAoNdtKBRi9uzZFBUVXXpHJFzrM9s3cFL3VbSqhXlTfkrmnGVD/BWMDbztbWx6/FE6zjZwy8c+xdzrbhyxY5GiWnLFBIPBPh3urttYLNZre4vF0q/odjgc6HRyMY3kyogEY/zu4QoyC22sfXAhCHA/X4Pv9bOY5mZiXmvhXPuzNDVtIhRqGDfxjqEgFG7G7d6fqvPz+Y4hRGJBtNU6o0dkZDFm8xT5veuDSKS9O8LhTkwmjMU8QDLfnjYfu6O7E1oO+BkbxONxgsFgShyfL5R73nZ9qKra5740Gg1CCFavXs1111034BKB9hO7OVLzcVQlxPTIo0y65V40RnkFIxzw8+z3vkH9kUpWvf09rFz3Ttn+MRRIUT0yCCHw+/39im63233BySYtLa1P0e10OrHb7bK5RNIvu549zd7na3nbfy8lu8BKx59P4D9+lui1J3HlvobLtYuueEd+/nqys2+R48AHSDwewOM51F3n595PLJZYj2EwZCUiI0mhnZZWikYzsbr04/EQXt9RPO7uTuhQ6EzyUQ0226xedXYyxjF6iMVi/YrivoTz+XMlemIymbBarVgslgtu+7pPVVW2bdvGwYMHmTRpEuvWrSMjI2NAxx3wNHBg9wcJ0UBB7ceYev2HMZXI0ebxWJSXfv4/HPvXy6xc/y6ueft7hv0YpKiWjAiqquL1evsV3R6Pp9f2Go0Gu91Oeno6BQUFlJaWUlBQIF0yCX53mN8/XEHxgixufEcJ9Rs20q57CV/hPlSCmM3FFOSvJy/vngkX7xgKhFDx+99MiuxEy0hXpZtGYyAtbUGqzs/pWIxenz7CRzx4JGIcNb3q7Hy+EwiRuCpnNOYnxHOykcOeNndcZvNHI0IIIpHIRUXx+bfnz4HoQlGUS4rinrdms/mKTZ8jR46wZcsWhBCsWbOGsrKyAT0vGvVQueejuEN7yXpzPZNzP4rz9qlojBP7iq8Qgt2bNzBr5bU48/Iv/YRBRopqyagkFovh8XguEN2dnZ00NTWhqipOp5O5c+dKgT3BeeUPxzlVeYjyt52mve0ZosZWtIqV3Pw7E/EO+2L5uzHEhMOtKYHtcu/H6z2SygtbLNN6tYxYLFPHzM8jHGlLLiJMONCJGEfCpddqbcmhKguTjRxlGI05I3zE4wdVVQmFQhcVxecL5/PnNnSh1WovKorPF84mk2lY62VdLhebNm2ivr6e+fPns2bNGkwm0yWfp6phjh39Audat+A4cz0FjR8h47450rUeQaSolow5AoEAx48f59ixY5w+fVoK7AlKLOan9uRmqip/hyW7GoSC1TWXwlnvpmDO3TLeMYLE4yE83sOJhpGk0O6a8KfXZyQjI4uTkZH5aLUjHxmJx4N4vUd7jfbuWrSpKFps1tnJkd4JJ9pqmY6iyF7/gRKPx/t1jvu7rz/dYTAYBuwiWywWDAbDqP+bEI/Hef3113n11VdxOBysX7+eyZMnX/J5QqicOv096up+hs29mPy9D5C2tBjHHdK1HgmkqJaMaaTAnlgIodLp2kVz06Zke0cA1ZdLzrnVZPivJ++916PPkmJ6tNEVm+jZMhII1ACgKAbsaXNT0x+djiUYDEM7yEEIFX/gVHIRYaLOzuc/nlqQaTIVJiYSJrPQaWlz5Zu084hGowNesNfVdtEfZrN5wC6yxWJBrx+/VY/19fVs2rQJt9vN9ddfz+rVqwfkmp85+0dOnHgEizqd/Nc+gdGcQ/p9MzCVjJ/41VhAiuohwOXai6pGMBizMRpy0OnsUtgNA1Jgj1+CwXqamjbR1LyJUOgsWq2NNPMttD4/i9LQTExFdjLfX4rWJmsbxwqRSEePyMg+vN7DqGoi42o2T+kx/XFxcnHflbvC4XBrrzo7j+dQqp9bq7Wl4htdo72NQyzqxwKRSIQjR47Q2trap3CORqN9Pk+j0fQphPsTzFeTRx6vhEIhnnvuOY4cOUJRURHr1q3D6bx0pKO17R8cOfJp9JoMJld+Fu3ZdKwr8nDcPhWNSbrWw4EU1UPAvv3vTrYNJNBoDBgM2RgM2RgN2RiMPT43ZGM05mAwZGEwZMkRpIOEFNhjn1jMlxjO0rwRl2s3oJCRcS35eevIzLiJym9UkheKYZyTQda7Z6Po5R/msYyqhvF4j/Sq84tGOwDQ6Rw4HItSQttuX9CvcxyPB/F4j6TGens8lYTCjQAoii7ZxtGdg7ZYpskYRw88Hg+7d+9m7969hEIhdDrdgF1kq9WKyWSS59ZBQAjBoUOH2Lp1KxqNhjvvvJN58+Zd8nkezyEOVn4YIVSm+x+Bf6WjdRhJXz8D0wzpWg81UlQPAcFgPaFQI+FIK5FwK5FIK+FIC5FwW/Lz1tQfi/PR69P7EN9J0W3s+jwbnS5NnrgGiBTYY4eueEdT00ZaWl5AVYNYLFPJz+tq78hPDEH4xSE0Z3yEih1Mf2A+ikb+/MYbQgiCwdoeLSP78fvfBBLiOM1WmoqMxGP+VA7a76/uEeOY1F1n5ygjzTYXrfbSC8AmIs3NzVRUVHD48GFUVWXOnDmUl5czefJkeX4cQTo6Oti4cSNnz55l0aJF3HbbbRiNF1+DEAjUcbDyfsLhRmZmP4b2hSnEWoNYl+clstbStR4ypKgeIVQ1SiTSLbIj4eRtpJVIuIVw8rFIpCV1SbQnGo3xPPGdg9GQhcGYk3TAE58b9Jly1HAPpMAenQQCdTQ1b6K5+WlCobPodGnk5iTaO+z2hamfSdwXoe23R4k0+Dil1fCWr5aj0UqXcaIQjbpwuw+khLbHU4mqJrK6Ol0a9rQy7I7uTuihzmaPdVRV5eTJk1RUVFBTU4Ner2fx4sWsWLFiwJ3JkqEnHo/z6quv8tprr5GRkcH69espLLz4mPJIpINDhx7A7TlIybSHcBy7Ed9rZ6RrPcRIUT3KEUIQi3mJRFr6dL7DkZak+G4jGu3sYw8Ken16UnwnHG+jISfpeveOn2i1tgklKKXAHlkS8Y5tNDVtxOXeQyrekb+e7KybL3AUo60B2n5zlFhnmD3eKAvvn8e0Rdkjc/CSUYGqRvD5TqDVWrFYimWMY4BEo1EOHTpERUUFbW1tpKWlsWLFCpYsWYLZLBdkjlZqa2vZtGkTPp+PG264gVWrVl10EWM8HuLosf+ktfVFJk/6IEXGT+DacEq61kOIFNXjCFUNE4m093C+WxJueLilhwveSjjShhB9ud/mpPjOSjrf2b3Ed1f8RK/PQKMZX/8RpcAeHoRQ6ezcSVPzRlpaXkzGO6Yl4x1rMZn6LusP13lo/+1RBLDLH0Nkmln3OTleXCK5HHw+H3v27GHPnj0EAgHy8vJYtWoVpaWl6HTj65w+XgkEAmzZsoWqqiqmTp3Kvffei91u73d7IeK8efKbNDQ8SXb2rZTO+C6+V87h+9cZtPakaz1TutaDhRTVE5CE++1Oiu+E8E44390RlHDSEY/F3H3sQUGvz0g53Oc734kISkKY63TWYf/6rhYpsAefQKA2Ee9oeppQuDER78i9i/y89djtZRf9fgYOt9LxlxPonCaapjnY8VID9352MQVywIFEMiBaWlrYuXMnlZWVxONxZs6cSXl5OcXFxfJcNgYRQnDgwAG2bduGTqdj7dq1zJ49+6LPqa//NW+e/AYOxyIWzP85ollH59+qE671sjwca6RrPRhIUS25KKoaJhzuzneH+3S+E/GTrglqPdFqLRc0nyTEdw4GY1Zq4aXBkIGijL72Bimwr5xYzEtLyzYamzbidu8FNGQm4x1ZWTddcsGYEALf62dxP1+DociOdX0Jf/zGXgpmprPm4wuG54uQSMYoQghOnz5NRUUFJ0+eRKfTsXDhQlauXElWlsyajwfa2trYsGEDzc3NLF26lFtuuQWDof8GsXMt2zh27D8xGgtYWPZrzPrJeLbX4f3XGbR2A+nrZ0rX+iqRoloyKAihJtzvLuc73NK9CDPSmro/4X57+tiDBoMhM+l6Z/WqHOxefJmN0ZiNVmsZ9q8PpMAeCIl4RwVNyeEsqhrCYplOfn4y3mHMG9h+VIFryyn8FU2Y52WS8Y5ZvP70KQ6/coZ3PryCjIKxdwVEIhkOYrEYR44coaKignPnzmG1Wlm+fDlLly7FapX/b8YbsViMl19+mR07dpCVlcV9991HXl7/51mXay+Vhz6GomgoK/slDnsZkQYvHX87QawliGVpLs47p0nX+gqRoloy7MTjoaTAbundfNIzihJpS7rfsQuer9GY0eudPT7S0esc3Z/rnei6HtMl/62zD2oOXArs3gQCNcnhLE8TDjeh09mT8Y51l4x3nI8aidPx5xOEjrVjW12I4/apeNpD/PHRncxemcdb3zdnCL8SiWRsEggE2Lt3L7t378bn85GTk0N5eTnz58+XeekJwKlTp3j66acJBoPcfPPNrFixot/zrt9/moOV9xOJtDJv3hNkZ92IiKp4/lGH959J13rdDEyzZAPM5SJFtWTUIoRKNNp5gfMdjbQTjbqIxtxEo52Jz6OdxGLuVD9tX+h09qTQ7hbjup7iXNclyh0pcT6QRpSJKrBjMS/nWp6nqWkjbvc+QENm5mry87riHRfvUu2LRGXeMaJnvDjvnIbtmkRt1Eu/OkrNwVbe89VybOmXv1+JZLzS3t7Ozp07OXDgALFYjOnTp7Nq1SqmTZs2Ls87kv7x+/1s3ryZ6upqSkpKuOeee7DZbH1uG460UVn5Ebzeo8ya+SiTJr0HIOlaVxNrCSRc6zXT0Jjlm7KBIkW1ZNwghCAe9/UQ2q6U4L5AgEfdSWHeSSzm7XefiqJDp+sW2foLRHhvdzwWM3L61Dmqqk6OS4EtRDzR3tG0kZbWF5PxjhIK8teRl3cPRmPuFe872hqg7cmjqN4IGe+cjXluJgAtdR7+9s29LL5tCuX3TB+sL0UiGbMIIairq6OiooITJ06g1WpZsGABK1euJDf3yv8PSoYHfzzO6UCYaRYj1kEe0S6EYM+ePbz00ksYjUbuueceZsyY0ee28XiAw0c+RXv7K0yZ8m9Mn/ZfKIom6VrX4/1nA9o0A871MzBL13pASFEtmfCoaoxYzN2PAHcR6yXOu8V619CJvtBozOh0duJxM4GAgterEo0Y0GodZGUXU1Awg5zsYvSG9GRExYFO5xi1VYWJeMfGZLyjORnvuJuC/PWkpc2/6jcK4Vo37U8dA0Uh8wOlGIu6K6I2//AAbQ0+3vtYOUbpmEgmMPF4nKNHj1JRUUFTUxNms5lly5axfPnyfh1JycihCkF9KMIxX5BjvhBV/iDHfEFqgxEEMMmk5wezilidkTbor93S0sKGDRtoaWlhxYoV3HTTTej1Fw6CU9UY1dWPcrbxT+Tm3k3pnMfRaBJXAyMNXjo2VBM7F8CyJJm1lufgiyJFtURyhcTjoQtEeC8B3iOiEgl3EAq3o6o+FEXtd586nb2HA94VUenhlJ/32EAjKldCLObl3LmtNDVvxO3eTyLe8ZZEe0fmjVcU7+iLwKFWOv6aqMzL+tBcdJndwyfqj7Wz5YlKrn3bDMpunDworyeRjDWCwSD79+9n165deDweMjMzKS8vp6ysrE+hJBl+3NEYVf4Qx3zBXreBeOJ8rwDTzEbm2EyU2swUGPX8T10Lp4Jh3l+QycPTC0jTDa5rHY1G2b59O7t27SI3N5f169eTk5NzwXaJKx8/49Tp7+J0rmDB/J+h1yeMDRHr4VrbDDjXzcA8W7rW/SFFtUQyjAgh8HpbqK4+wKlTlZw7dxqtNoTdriEv305mhhGDMXoVEZWeArxnbOVCcd5XpZ0QcTo6K2hq2khr64uoahirdQb5eV3xjgtPyFfzvfC9lqzMm2In8/2laK3dAkGogr9+cw/hQIz3PLoSrV5Oy5NMLDo7O1N56UgkQnFxMatWraKkpOSik/QkQ0dMFZwOhnuJ52O+IGfD3ZWy6TotpTYzpTYTc2xm5ljNzLKasGh7/8yCcZXv1DTzs4YW8o16vj+7iOuGwLWurq7mmWeeIRKJcOutt7J06dI+jZim5meoqnoIi6WYhWW/xmQqSD0WOZPMWkvX+qJIUS2RjCCBQIATJ05w9OjRi2awhyaiYurVnqLTO/B4KpPxDge5uXcNWrzjfHpV5s3PIuPts1DOE80ndjWz/clj3Hx/KTOXD6yKTyIZDzQ0NFBRUUFVVRWKojBv3jzKy8vJz+974qhkaGiLxKjyBTnmT8Y3fEFOBEKE1YQe0ikww5JwnudYTUkhbSbXoLusc+Y+t58Hj9fzZiDMe/Mz+XJJAfZBdq29Xi/PPPMMp06dYtasWdx99919Vix2dOzg0OF/R6u1sLDsV6SllaYe6+laa2yJhhDpWvdGimqJZJQwUIF9OVxORCUadWE2F5Gfv57srBtSubrBRo3E6fjTcUJVHdjeUojjtqkomt5fVywa54+P7MJo1fH2/152weMSyXhDVVWqqqqoqKjgzJkzmEwmli5dyvLlyy86hlpy9YRVlZOBcMp1rvKFOOYP0hLprnTNNeiS4jnhQJfazJRYjBgG6YpBKK7y3dpmflrfQp5Rz3dnTeaGzMH9uauqyq5du9i+fTtms5l169Yxbdq0C7bz+U5wsPJ+YjEv8+f9hMzM1b0e7+VaL85JuNYWGUMCKaolklHJUAjs0UDcG6Htt0eJnvXhvHs6tvKCPrc7uL2eNzac5O5PLWRy6eh1QlRVxe/34/P5Uh9er7fXv7s+bDYbU6dOZerUqRQXF8uFZRIAwuEwBw4cYOfOnbhcLtLT01m5ciULFy7EaJT1kYOJEILmSJRjvt7Z55OBELGkxDFqFGZZTZT2EM+zrWayDMMTddjv8fNgVQPVgRDvys/g0ekFOPSD+9pNTU1s3LiRtrY2Vq1axQ033HBBl3ko3Exl5Yfx+08ye/bXKci/r9fjIqbiebke76vSte6JFNUSyShnvAjsaEuAtiePoPqiZLxrNubSzD63Cwei/O7hCnKK0rj704uG+SgTRCKRPsXx+ff5/X76OjcajUZsNhs2m420tDSsViudnZ3U1dURDocByM7O7iWyzWbzBfuRjF/cbje7du1i3759hMNhioqKKC8vZ9asWTIvPQj443FO+EMcT7rOXfGNzlj3LINJJn1SPJsTCwitZqaajehG+MpYKK7y/dpmftLQQo5Bz3dmTeamQXatI5EIL774Ivv27SM/P5/169dfML4+FvNy+PB/0NH5BlOnfpqpxZ+84G9N5IyXzg3VRJulaw1SVEskY4qxKrDDNW7anjqGolXI+sBcDJP7X4xT8fQp9r9Yx9u/uIzsosFbtKOqKoFAoF83ued9kUjkgucripISyj0F8/n/tlqtGAyGPo8hHo/T1NRETU0NNTU11NfXE4slLjHn5+enRHZRUZF0KccpjY2NVFRUcPToUYQQlJaWUl5ezqRJk0b60MYkqhA09KitO+ZPxDdqgmG6VItVq0llnufYzJRaTcy2mgbdAR5sDnoCPHi8nuP+EO/Iy+ArJQU4B/mYq6qqePbZZ4nFYtx+++0sWrSo198QVY1QdfyLNDc/TX7+25g962toNL1Fcy/X2mogfV0J5jl9mybjHSmqJZIxylgR2IHKZGVehomsD/auzDsfX2eI3395J9MXZXPz/XMHtP9IJHJRN7nr3wNxlfsTyzabDYvFMugOYiwW4+zZsymR3dDQgKqqaDQaCgsLUyJ70qRJsjptDKOqKtXV1VRUVFBXV4fBYGDJkiWsWLECp9M50oc3ZvDE4smFgwnXuSvC4e9RWze1q7auR3xjssmAZhScC6+EsKryw9pzPFF/jmy9nm/PmsQtWY5BfQ2Px8OmTZuora2ltLSUu+66q9eVMyEEp2t+SG3tj8nIWM38eT9Gp7swvhY566PzbycSrvWiHJx3TTzXWopqiWQcMBoFthAC37/O4N5Wi6HYTtb7Sy95gn35qSpO7G7m3Y+sQGtWLxm/8Hq9/brKVqu1T3F8/n39ucojQSQSoaGhISWyGxsbEUKg1WopKiqiuLiYqVOnUlhYiHaQJ7FJBp9IJEJlZSUVFRV0dHTgcDhYsWIFixcvxmS6sNJSkiAuBKcD4ZTrfCzZwHEm1F1b59Rpe4jnRHxjltU06BMKRwuV3gAPVtVT5Q9xX246X5tRSPogutaqqrJjxw5efvllbDYb69ato7i4uNc2Zxv/wokTD2O1zmJh2S/7nKArYiqeVxrwvtKAxqon/d6SfqN+4xEpqiWSccZoENginqzM29mEeUEWGW9LVOZFo9F+xXFnu5szp1rQmuNE4qE+XWWDwXDR6MVQusojQSgUoq6uLiWyz507B4Ber2fKlCkpJzsvL29cfL3jBa/Xy+7du9m7dy/BYJCCggJWrVrFnDlz5Juh82iPxFKTBrviG9X+EKFkbZ1WgRKLidLz4hv5Rv2ouBI3nERUlR/WneOJunNk6HV8Z9Zkbh1k1/rs2bNs3LiRzs5OVq9ezXXXXdfrd7at/VWOHPkkep2TsrJfYbPN7PtYz/ro/Fs10Wb/hHKtpaiWSMYxwyGwVVUlGAymBLLH5ab19Ro8rS4iuVrCNpF6rGuRXk+6XGU1pCUe1DJz0WSc6fY+s8oTPWfs9/t7iey2tjYATCZTysWeOnUq2dnZE05wjAaam5upqKjg8OHDqKrK7NmzKS8vp6ioaML/PCK9auu6R3af61Fbl23QUWo1p6YOllpNzLCaMMo3jL047E1krY/6QqxPutYZg+hah8Nhtm3bxsGDB5k0aRLr1q0jI6O72cPjPUJl5UdQ1RAL5v+M9PSVfe6nt2utI/3eGePetZaiWiKZIFyuwO5ylS9WFef1evH7/ajqhaPX9Vo9aY7+3eSuD6vVSvMpD09/bz8r75nGktuKh/G7MrbxeDzU1tamRLbL5QLAarX2ahbJyMiY8KJuqBBCcPLkSSoqKjh9+jR6vZ5FixaxcuXKXkJkoiCE4Fwk1t35nKyte7NHbZ1BSdTWnR/fyDaMfydzsIioKv9T18IP6ppJ1+v49sxJ3J49uPn8I0eOsGXLFoQQrFmzhrKystRjweAZDlZ+mGCwntLSb5OXe1f/x3rWl2gIafJjWZiN8+7p49a1lqJaIpmA9CewnU5nSjCHQn1PY+wvq2xRDcRebcEU1FL4tnk4Fgxs+psQgo3f3oevM8x7vroSvUFeHr9SOjs7UwK7pqYGn88HgN1uT4nsqVOn4nAM7iXjiUg0GuXw4cNUVFTQ2tpKWloaK1asYMmSJROmHjEQV6n2dzVudDvQHdHu2rpCoz4V2eiKb0wfBbV144WjviAPVtVz2Bfk3hwnj82YROYgdmq7XC42bdpEfX098+fPZ82aNan1ANGom0OH/w2Xazcl0z9PUdED/b55FzEV76sNeF5uQGNJutZzx59rLUW1RDLB6RLYx44dIxQKXTKr3FcmNHzaRdtTVSg6hawPzsUwaeBVeKf2t/DCL47w1vfNpvSavofBSC4fIQTt7e29RHYwGAQgIyNDDqK5Qvx+P3v27GH37t0EAgHy8vIoLy9n7ty5FwzQGC+IZG1dl+vcJZ5PB8J0XaMyazQp57krvjHHahr0CjjJhURVwY/rz/H92nM4dFoenzmJO3MGz7WOx+O8/vrrvPrqqzgcDtavX8/kyZOTj4U5VvU5Wlq2Ulj4XmbN/DKK0r8xEmlMZq2b/JgXZuO8azpa6/hxraWolkgkV0XgYAsdf6tOVOZ9aB66jIG3GsTjKn/6yi40Wg3v/NIyNFqZnRwqVFWlpaUlJbB7DqLJyclJiewpU6ZMGKf1cmhtbaWiooLKykri8TgzZsxg1apVFBcXj7toTVwIdrn8vNDm5qA3QJUviDfeHfEqNhvOyz6bmWIeu7V144UqX5BPV9VzyBfk7hwn35gxaVAnQdbX17Np0ybcbjfXX389q1evRqPRIITKyVPfpr7+/8jKuol5c3+IVtv/OUTEVbyv9HStSzDPzep3+7GEFNUSieSKEELg/ecZPC/UYphqJ+t9l67MO58j/zzDP/9UzR3/Pp+pZdlDdKSSvuhvEI2iKOTl5clBNCR+x2tqaqioqODNN99Ep9NRVlbGypUryc4eX7+vUVXweqeX59vcbGt10xaNYdIoLEyzJOIbSRd6ttWEVScjWqOVqCr4aX0L36ttxqbT8PjMydw9iK51KBTiueee48iRIxQVFbFu3bpU13rDmd9RXf0V7PYFlC34BQbDxYVyL9e6LJG1HuuutRTVEonkshFxgevZk/h3NWMuyybjbTNRdJfnMkdCMX7/5Z04c8zc+1+Lx53bN9aQg2i6icViHDlyhIqKCs6dO4fVamX58uUsXboUq9U60oc3aITiKv/s9PJcq4uX2jy4Y3GsWg03ZdpZk+3kxow0KaDHKFW+IA8er6fSG+TObAffnDlp0BaCCiE4dOgQW7duRaPRcOeddzJv3jwAWltf4sjRBzEaclm48NdYLFMvvq+4ivfVM3herkdj1pF+TwnmeWPXtZaiWiKRXBZqOE7HH6sInegk7fpJ2G8pRrmCRUd7ttawe0sN6z+/hLxpcuHcaONSg2i6RHZBQcG46V4OBALs27ePXbt24fP5yM7Opry8nPnz54+bNxL+WJx/dHjZ2upie7sHf1zFodNya1ZCSF+XnoZJxrDGBTFV8L8NLXynJuFaf2PGJNbmOAfNwOjo6GDjxo2cPXuWRYsWcdttt2E0GnG7D1B56AFAULbgFzgciy+5r0iTPzGNsXFsu9ZSVEskkgET90Ro++1Roo0+nPeUYFsxsIaP8wl4Ivz+4Qoml2Zw+8fmD/JRSoaC/gbRGAyGXiJ7LA6iaW9vZ+fOnRw8eJBoNMq0adNYtWoV06dPHxdXUNzRGC+1e9ja6uLVDi8hVZCp13FHtoM12Q6ucaahl3c6KoQAACAASURBVG0c45YT/hAPVtVzwBvgjiwHj8+cRI5xcARrPB7n1Vdf5bXXXiMjI4P169dTWFhIIFDLwcoPEQ6fY+7cH5CTfesl9zUeXGspqiUSyYCInvPT9uRR1ECUjHfPwTz7yjt4//WnExx5rZF3fXk56Xnj53L6RGKsD6IRQlBfX09FRQXHjx9Hq9Uyf/58ysvLyc29cPzyWKMtEuPFNjfPtbp4vdNHVAjyjXruyHKwJtvJCqcV7Sj8uUiGhpgq+PmZVr5d04RFo+HrMydx7yC61rW1tWzatAmfz8cNN9zAqlWriMU6qTz0AB5PJTNnPMzkyR8Y0L4iTf5Er/VZH+YFWTjXlowZ13pYRLWiKLWAF4gDMSHEUkVRMoC/AMVALfB2IUSnkvgJ/wi4AwgAHxRC7E/u5wPAl5K7fUwI8dtLvbYU1RLJ1RM65aL9d8dQ9BqyPnB5lXnn4zoX4E9f2cWca/K5/j2zB/EoRx8xVbDT7ePv7R6MisI16Wksc1ixjMPL6wMZRDN16lTS09NHVGTH43GOHTtGRUUFjY2NmM1mli1bxrJly0hLu/Lf69FAczjK860utra6qXD5UIEpJgNrsp2syXawyG6RDR0TnDf9IR48Xs8+T4Dbsux8a+ZkcgfJtQ4EAmzZsoWqqiqmTp3Kvffei9Wq58jRB2lr207R5A9TUvIQinLp85+Iq4mF8P+oR2PS4bynBMv80e9aD6eoXiqEaOtx37eBDiHE44qiPASkCyG+oCjKHcAnSYjqFcCPhBArkiJ8L7AUEMA+YIkQovNiry1FtURydQQOtNCxoRpdpomsD15eZV5fvPCLI9QdaeO9XyvH6hh/rRLBuMq/Or083+rm7+1uOqJxjBqFuBDEBOgVhSV2C6vSbVzjtLHEbh2XGdb+BtE4HI5eTvZwDaIJhUKpvLTH4yEzM5OVK1dSVlaGwWAYlmMYCuqDYba2utna6mKvJwDADIuRO5NCeq7NPCqvFEhGjrgQ/KKhlW/VNGHSaHhsRiHrcwfnza4QggMHDrBt2zZ0Oh1r165l1qwZVL/5Nc6c+R05OXdQOue7aLUDO/dHm/10/K2Ha333dLS20fv/dSRF9QngeiFEk6Io+cCrQohZiqL8PPn5n3pu1/UhhPhY8v5e2/WHFNUSyZUhhEhMwHqxDsNUB1nvm3PVo2XP1XjY8K29LL2jmBV3TxukIx153NEY29s9PN/m5pUOL4G4il2n4eZMB7dnOXhrRsIB3eX283qnjzdcXg57g6iASaOw1G7lmqTIXmi3YBhjmeRLMZKDaDo7O9m1axf79+8nEolQXFxMeXk5M2bMGHPZ7y5OBkJsbUkI6UO+xPdxns3MmuxEtGOm9ere+EomBicDIT5T1cAej59bMu18e9Zk8gbJtW5ra2PDhg00NzezdOlSbr75ZprPPcXJk4/jcCylbMHP0esHVvV3oWs9Hcv80VlpOVyiugboJOEw/1wI8QtFUVxCCGePbTqFEOmKojwHPC6EeD15/z+AL5AQ1SYhxGPJ+x8GgkKI717staWolkguHxEXuDafxL+7GfPCbDLuu/zKvAv2KQSbf3CAjiY/7/1aOQbT2J60di4cZVuy0/cNl5eYgByDjtuyHNyR7WCV03ZRceyOxnqJ7KO+xFh4i1bDCoeVVU4b16TbWGCzjLuRzsMxiObMmTPs2LGDqqoqFEVh7ty5lJeXU1Aw9qZ2CiE45g/xXEsi2lEdSPyuLLFbUtGOKebxd9VHMvTEheBXZ1r55ukmDBoNXy0p5O15g+Nax2IxXn75ZXbs2EFWVhb33XcfirKXo8c+h9k8mYVlv8ZsnjTg/fVyredn4Vw7+lzr4RLVBUKIRkVRcoC/k4h3PNuPqN4KfPM8Uf154AbAeJ6oDgghvtfH6z0APABQVFS0pK6u7oqPXSKZaKjhGB1/PJ6ozHvrZOw3T7miyrzzqT3cxtafHGL1O2ay4K0DP5GOJk4Hwjzf6mJbm5t9yUvtU80Gbs9ycke2g8VXkVntiMaocPkSIrvTlxJOaVoNK50JF/uadBtzbeZxl4u92CCa/Pz8lIt9qUE0qqpy/PhxKioqaGhowGg0snTpUpYvXz5sMZPBQgjBAW8gFe2oDUbQACucVtZkO7kjy0GBaXQJCsnY5XQgzGeO17PL7efGDDvfnT2JfOPg/H6dOnWKp59+mmAwyM0338zMWQqHD/8bGo2BsgW/xG4feAOUiAu8/2rAs70ejUmLc20JlgWjx7Ue9vYPRVEeBXzAR5HxD4lkVBH3hGn7zVGizX6ca6+8Mu98VFXwl8d2E4uqvPuRFWiv0vUeLoQQHPYF2dbq5vk2Nyf8CaG7wGbm9mwHt2U5mG01DUlmtTUS5Y1OH2+4EiL7dDDh5Dp1WlY5balM9lC9/khyuYNowuEwBw4cYOfOnbhcLpxOJytXrmTRokVjahpkXAh2u/1sbXXxfKubxnAUnQKr09O4I/n7NlgDPCSS81GF4Ndn2/j6qSb0GvhKSSHvzMsYlPOL3+9n8+bNVFdXU1JSwq23LqD6zU8QjXYyb+4TZGW99bL2F23207GhmuiZ0eVaD7moVhTFCmiEEN7k538HvgrcCLT3WKiYIYT4vKIoa4BP0L1Q8QkhxPLkQsV9QFeL+H4SCxU7Lvb6UlRLJAOjV2Xee+ZgnnXllXnnU7WjiZefquKWj8xlxtLRXVcWUwW73L5UtONsOJpyCO/IcnJbtoPJI+AQNoYi7Ohysl0+GkIRALL0upTAvibdxnSzcdyJ7P4G0eh0OgoLC2lubiYcDjN58mTKy8uZPXv2mMlLR1XBDpePrckrIK2RGEaNwvUZaazJdnJLph2nfmxHpSRji9pgmAer6tnp9vPWjDS+O2syhYNwzhNCsGfPHl566SWMRiN33bUaj/cb+HzHmTXzqxQWvvPy9hcXeP91Bs/2ulHjWg+HqJ4GPJ38pw74oxDi64qiZAJ/BYqAeuBtQoiOZKXej4HbSFTqfUgIsTe5r/uBLyb39XUhxJOXen0pqiWSSxOucdP226OJyrwPzsNQOHiLxWKROH94ZCcWu4H7vrB0UKIkg02oR2PHSz0aO96Snsbt2Q5uyXSQZRhdwqYuGOYNl48dSZHdFI4CkGfQpxY9XpNuG5dZ256DaOrq6sjIyGDlypVMnjx5pA9tQIRVlX92eNna6ualNjedsTgWrYYbM+ysyXZwU6YdmxwPLhlBVCF48mwbj51qQqckXOt35Q+Oa93S0sKGDRtoaWlhxYqF5OY9Q2fnaxRP+TjTpv3nZb9G9Fwyaz0KXGs5/EUimeAEj7bR/qfj6NJNZN0/D1364DYH7H+pjopNp1j7mUVMmpU+qPu+Gjyx/9/enUfHedVpHv/eKpV2qbTLixbvlrzEaxI7dpwQgmMnoUOABpoAnaRPMwxMbzTdQMNANwwzw3TTwHQf4PR0FkKAdEPIAk7sOHFISOI48ZLFtmx5lSXZllRaSiottb13/qiSLAc5tlySqyQ9n3N0VKp6632vXjvJk1v3/n7RWMWOti52xCt25LldvK8kVrHjpqI8ciZIsLHWcqI/xEudPUPLRXzhCAAVmR7WFeQNBe2xmHGS0euNRtnRfq49eCBeIWZjcayr4Y1F+WRNwtKKMrE19Af5q0ONvNIV4MbCPP6pppKKMfh3SDgc5tlnn2XXrl2Ul5dw7ZqjdHb+mmnTPkBtzf/C5RrdNWzU0vO7Jrq3x2atC++cn5RujArVIlNYYNcZuh4/SnpFHsV3Lx7zrlUDvWEe/u87KZ/t5f1/tmxMz305WoJhtg5V7Ih1mRus2LG5xMu6wnev2DFRWGup7wvyUmcPr8RnszsjUSC2sXJ4yB6rdsXy+7ojUbb7/Gxp8/N8Rzf9jqXI42ZzvKvh+kny900mN8daHjrdzjeOncYFfH3eDD4xvXhMZq3r6+t5/PHHCYWC3HhjL8HQLygsvI6rlv6AtLTRN2ManLXOu34m2cvKEh7faClUi0xB1lp6njtF97OnyFxYSNFdtbjSx35W9uVHj/LGs6f46FeuoaRibOsPX6oTfUGe8vl5uq2LPd19WGBWVjqbS7zcWlrAqinQZc6xloOB/qFZ7J1dAXqiDhBrFLKuMI91BblcV5BLcYotc5lo2oe1B/9dvD34tHQPm0tjM9JrvLmTrkSiTA2n+oN8/lAjL3UF2FCYyz8trKRqDJaX9fT08Pjjj3Ps2DGWLevFW/AkOdlzWbbsPjIzR79Z3joWDEnZW6JQLTLFWCdeg3rXWbJXllH4ofmYcfjYuadjgJ9+7VXmrS7j5rsXjfn5L2R4xY6nfX4OxSt2LI1X7Ng8jhU7JoqIE7tHL8eXi+zy99IXD9mLcjLjs9h5rC3IwatNchfVEgzzlM/PltYudvoDRC1UZqZzW6mX20sLEiq1KJJKrLX85HQ7/3DsNABfmzuDT84oTvjvt+M47Nq1i2effZayMh/zF+wgPT2fZcvuIy+3ZiyGfkUoVItMITbs0PHIIfoPtJN3QwX5m2aNW7h89sGDHN3dyl3fWENegq3NLyZqLbu6ennaF6ug0DQQq9hxjTdnqBTZWMyoTFZhx/JmT9/QmuzX/b0MOBYXsCQvK77pMY813hxtoItrHAixpbWLp3x+Xvf3YoF52RlDzViWqj24TGKNAyH++tApXuwMsL4gl+/UVI7JpugzZ87w6KOP0t9fz4qVL5GWFuWqpT+gqGjdGIx6/ClUi0wRTn8E30MHCJ3oxnv7HPLWzxy3a/maAvzHt15j+c1VrPvQvHG5xmDFjqd9frb5zlXsuL4wj1tLvGwsSb2KHRNF0HHY4+/j5a4eXu4MsLe7j5C1uA0sz8tmXUEu6wvzWO3NIXsKba471jfAlrbY0o63emLtwRfnZsaasZR6WZg9tT8BkanFWsvPznTw9aPNOMBX50zn7pklCc9ah0Ihtm3bxtv7X2T58hfJyOhkUe23mT79zrEZ+DhSqBaZAqLdQXz37yfc1k/RHy4ge/n4buD49b+8ScsJP5/45loyx3DzY3ckynPt3TzV5mdHRze98YodNxfns7m0gJuK8jSTOg76og67/b3xNdk97OvpI2rBYwyr8rO5rjCX9QV5rPJmkzGJNt5ZaznUO8Bv2mLtwQeXEq3Iy+a20thmw9nZ+gREpramgRB/c7iR5zt6WFuQw3drqpg1BrPWdXV1bNnyC+bMfQav9wxzZn+eWbM+m9L/46pQLTLJhdv68N23H6cvQvEna8mcP75l7ZoOd/LEd/ex9oNzWbmxOuHztQ5W7PD5eSm+8av0HRU7JlOQmwgCkSi7/L3xjo89vN3TjwNkugyr83NYVxibyV6el41ngm3Ks9byRk//UFfD4/1BDHCtN2doRlplCUXOZ63l52c7+PqRZiIWvjJ3OveOwax1d3c3v/rVL8jI+Dll5ScoL/swixZ9C5crNT+FVKgWmcSCp7ppf/AAGEPJPYtJrxh9iaLRsI7ll9/eTV93iLu+sYY0z+XNGp/sD/JUW6z03e7u2HrV6sx0Npd6ubXEyypvDu4Unq2YavzhCK8OC9kHArEZ3Wy3i2u9OUNrspfmZqVk5QvHWl7397Klzc+Wti6ag2HcBtYX5HFbqZfNpWoPLnIpTg+E+MLhRnZ09LDGG5u1TvTTHMdxePnllzl2/DtUVr5Ndta1XH31/yMtLWeMRj12FKpFJqn+wx10PFyHKy+d0nuXkFaSNe7XPLK7hWf+/QA3faqW2usuvRSStZb9gX6eavOz1eenLv4x+5LcrHjpO1XsmEjaQxF2dgWGSvjV98X+PPPcLtYU5LI+XiN7UW5W0qpiRN7RHrw1FCHdGG4oigXpW0q8FKryicioWWv5j7MdfO1oM2HH8ndzZvAnFYnPWjc3N7Njx98zfcbzGFPF2rU/Iztr2hiNemwoVItMQr17Wuh89Aie8mxK7l2CO2/8P66ORhx+9vev4slw85GvXIPrIjOSUWt5zd87VPqucSA09DH75njFjsnYYnsqag2GeWVYyD7eHwSgMM3N2ng79XWFueO+0S/oOLwYbw++Ld4ePMvl4r3FedxWWsDNxfnkaU2+yJg4EwzxN4ebeLa9m2u8OXy3ppK52YlVggoGgzyz/TtkZDyI4+Ry1dJ/Z8aMlWM04sQpVItMItZaAi8243/6BBlzvRR/chGuzCsz2/bW80387j/que1zVzFr6cjtYQeiDr8bqtjRTXs4Nju4oSiPzSVeNpbk62P2KeD0QGgoYL/U1UPTQBiAEk9afNNjLGTPycpIOGT3RR2e7+hmS5uf7T4/PfHNrRtLzrUHn0oVTESuJGstv2zp5KtHmgk6Dl+aPZ0/rSxNePnevn2P0dL6VYxxKC76GqtX/9EYjTgxCtUik4R1LP6nThB4qZmsq0oo+shCTNqVCQuh/ggPf20nRdNzuOOvVpwXhAYrdjzt8/Nce6xiR+5QxQ4v7y3KV8WOKa6hP8jL8XbqL3UGOBuKhexp6Z6hWex1BbmX/MlFTyTK9vZutrR1saP9XHvwW+Ltwa/X5laRK6olGOZv6xvZ5utmdX4236utYl6Cs9YtLfvZ98Y9uN1d9Pd9nI0bv0xm5vj2RLgYhWqRScBGHDp+WU//G23kXjcD7+1zMFdwQ9iuJ4+z+6mTfPhLqymflU9bKFax46m2cxU7Sjzxih2lXtYr1MgFWGs53h+Mb3qMzWb7whEAKjI9rC/IGwrZM4ZV4egIx9qDb2nz82JHDyFrKUtP49bSAm5Xe3CRpLPW8quWTr5ypJl+x+GLs6fzXxKctR4Y8PHyK3cBRzlzej0bNnyTqqqqsRv0KClUi0xwTjBC+8N1BI90kX/LLPJurLiiG/p6/UEe/u87yVpeTO/N5Tw9rMNc1bCKHatVsUMug7WWw30DsZDdGWBnV4DOSBSA2VnprC3IpSm+nCRqYWaGh9vjXQ1Xe3PUHlwkxbQGw3yxvomnfX5W5Wfz3ZoqFuRc/gxzNDrA7t2fJdD7Aqeba6is/AIbNtyAKwkTNwrVIhNYNBDC98ABwmcCFH5wPjmrr9xOaGstBwL9/PD5Y/wuGqS1ILZ2e3FuJptLYvV8a1WxQ8aYYy0HA/1Ds9iv+gOUeDxDzViW5ak9uEiqs9byRGsXf3ekid6owxdmTeO/VpZd9qdJ1jocOvRNTp95CJ+vksKCL7Bx4+1jPOqLU6hOAsdaojZW/SCKxRl8bMFh2GvW4hB77Fh+/1hriTLs2Pgxg+8f/rMz7FwXPDZ+Pid+TPQd1zxvLBc59tzvcv41hv9+58Yz+LtceOzRoZ8tHmPIdrtiXy73ucdDz517nDXCc+cfF3t/lstMuP8QR9r78d2/n2h3iKKP15BVWzzu14zG6/kOVuw4NRACa6kJu/lY7TQ2l6pih4iIXJq2UJgv1Texpc3P8rxsvldbSU3O5Zd/PXXqAY4c/Rbl5XexZPE/jOFIL41C9Ti45+0T7OwKDAVPe14ovKJDGRMuwG0MbgMuY87/mdh3tzG4DLgx5x3rZthrxsRfBzPs2KHX4s+d+/n8aw3+HLGWvqhDn+PEvg//GvbcaG61gVgAf2f4vmAYH/xyj3hczrBjs9yuMf8IOtQcwPfAfmzUUnL3YjKq88f0/MMFHYffdQZ4uq2Lbb5ufPGKHdcX5lFZ10PZXj+f+eoasvPVZU5EREbHWsuTbV18ub6JQMThC7On8dkEZq197b+lwLuKtLTxbXY2kksN1aqAPwrrCnOZnuEZIYSOHBLPC6EjBtH4eYaC6ODrIx879NpI12CkEHvu2MFrDX/vRJvBhdg/pAPOSOE7+q6BvH+E57qCYXoH3xd/brT/c5TlMsNmzd99dv1iYd7d1EvwV0fJTndT+ceLySgf+65SPfGKHU+9o2LHe4vz2Vzi5b3F+fSeCvDob09yzftnK1CLiMhlMcZwR1kh1xXk8nf1zfzP42f4TVsX36+pojZ39LPWJcU3jv0gx5hmqkXirLWEBmfLR5gh//3noiMe13+B94ZG+c9a+vDlMMPCd9YoZ9ezXK54V8MuXuoMELKWYk8am0ry2fyOMmTWWh77zl66Wvv5xDfWkH6FamGLiMjk9mRrbNa6OxLlr2eV87mqcjwTpHKPZqpFRskYQ4YxZLhcFI5Dn5KIY0ecXW/f34bv9bOEy7JwXzedfrf5/TA/7OfOcJTmgTB9TnQoxPc7Fw/slZnp3DOzhM2lXq6+QMWOk2/5OHPUzw1/tECBWkRExswflBVwXUEuXz3SxP8+cZYtbX6+X1vFosuYtU5V+q+myBWS5jLku9zkxxuiWGvpfqaBnuebyKwtovgjNRjP5TVLcayNzZA7Dr3vnFmPOlRmpbPoIhU7nKjDzseOUVCeTe36GZc1DhERkQspSU/jR4tn8f6yLr54uIlbdtfzl9Xl/Hn1xJm1fjcK1SJJYKOWzseO0Le7hZxrplFwxzyM+/L/heIyhpw0Nzm4Kb3McxzaeZbOs31s+vQS3GrvLCIi4+S20gLWFuTy1SPN/OPJszzt8/O9mkqW5GUne2gJ0X85R2H/C03sf6GJSDia7KHIBOaEorQ/fJC+3S3k3VRJwZ2JBeqxEA5Fee3Xxymfnc+cFZcby0VERC5NkSeNHyyq5oEls2gJhdm0p55/PHGGkOMke2iXTaF6FE7ub+eFn9fz0Fd2sndbA6H+SLKHJBOM0xfG9+9vM3Cog4I75uLdOCslqrC8taORXn+I6z44NyXGIyIiU8Pm0gJevKaGD5QV8p2TLWzaXc/bPX3JHtZlUagehds+exV3/NUKSmbmsPOxYzz0lVd49Ylj9PeEkj00mQAiXUFaf/QmoeYARR+vIXdtaqxb7g+E2Lu1gVlLi5kxvzDZwxERkSmm0JPGvy6q5qGls2kPR9i0p55vHz9DcILNWmtN9SgYY6hYWEjFwkJaG7rZu7WBPVsbePPZRhatn8Hy91WRV3T5fe5l8gq39OK7fz/OQJSSe5eQObcg2UMasuepBsLBKGvunJvsoYiIyBS2scTLNd4cvna0me82tMTXWlexPH9irLVWneoEdZ7tZe+2Bup3tQCw4NpyVt5STeG0sW/cIRNT8KQf34MHMR5DyT1LSJ+Rm+whDen29fPTr7/KwmuncdOnapM9HBEREQC2+/z8zeEm2sJh/ltVOZ+fVT7UU+FKU5vyK6ynY4B9209R99JpIhGHuctLWbmpmrJxbDMtqa//YDvtPztEWkEGJfcuIS3FPsnYfv8Bju1r4xPfWENuYWqNTUREpjZ/OMLXj57mkbMdLMjO5Pu1VaxIwqy1mr9cYXlFmWz46AJWb57FWzsaefuFZo7ta6NyURGrbqlmxoICbQCbYnpfO0vnY0fwzMyl5O7FuHNTq+V326ke6l9rYeUt1QrUIiKScryeNL5XW8X7ywr4wuFGXvMHkhKqL5VmqsdJsD/CgRebeeO5Rvq7Q5TPzmfVpmpmLS3BTIIC53Jh1lp6djTSvb2BjAWFFN9Viyvj8pq6jKcnv7+P1lM9fPKba8nIHocWkiIiImOkOxIlx+0asRvweNNMdZJlZKWx8pZqrnpPBXWvnGHf9lM89cO3KZqRw8pbqpm/ugyXGmxMOtaxdP36GL07z5C9oozCD83HpKXen3PjwQ4a6zpZ9+F5CtQiIpLyBrsRpzKF6nGWlu5m6Y0VLLp+Bkd3t7JnawPPPnCQ1359nBUbq6lZO420y2xNLanFhh06/vMw/W/7yN0wE++m2Sn5qYR1LK88dpS8okyW3lCR7OGIiIhMCgrVV4jb7WLhtdNYcHU5J97ysWdrAy/87DCv/+YEy26uZMmGmaRn6o9jonIGIrQ/dJDgcT/eW2eTtyF1w2r96y34GgPcfM8i3J7Um0UXERGZiJTirjDjMsxZXsrsZSU0H+5kz9YGdv7qGHu3NrD0xgquuqmCrBTb0CbvLtodwvfAfsItfRR+dCE5K8qSPaQLioYddj15nJLKXBZcXZ7s4YiIiEwaCtVJYoyhoqaIipoiWk7GGsnsfuokbzx7KtZI5mY1kpkIwm19saYuvWFK7l5M5oLU7ki4/8VmetoHuPGuZSm5NEVERGSiUqhOAeWz8tn8maV0nOll37YG9v+2mf0vNLPg2mms3FilRjIpKtTYg+/B/QCU/ulVpFfmJXlE7y7YH2H3UyepqCmksrYo2cMRERGZVBSqU0jR9Bzee/cirn7/bN7Y3sjBl09zaOcZ5q4oZdWmWZRWpXZom0oG6jtpf/ggrhwPJfcuwVOaunUzB+3d1sBAb5i1d85VzXQREZExplCdgvKLs9jwsQWsvnUWb+5oZP9vmzi2t42qRUWs3FTNjPlqJJNMffta6fhFPZ7ybEruWYI7P/XXwAc6g7z1XCPzry5Xl08REZFxoFCdwrLz01n7gbmsvKWa/S808eZzjTz+z/uYNiefVZtmUb20WOH6Cut5sQn/UyfImOOl+FOLcE2Qii2v/eY4jmNZc8ecZA9FRERkUpoYiWCKy8hKY9WmWSy7qTLWSOaZU2z5wVsUz8xh5aZq5q1UI5nxZh2Lf+sJAi82k7W0hKKPLMRMkHJ0Had7OfTKGZa+p4L8kqxkD0dERGRSUqieQM5rJPN6C3u2NrD9voPsekKNZMaTjTp0/vIIfftayVk7nYL3z035yhnWsfiaAjTWdXDo1bOkZbhZfeusZA9LRERk0jLW2mSP4bKsXr3a7t69O9nDSCrr2KFGMq0nu8nOT2f5zVUs3jBDjWTGiBOM0v7TOoL1neS/r5q8mypTdslNT8cAjXUdNNZ10HSok4FAGICiGTlcfdts5q1K3frZIiIiqcoYs8dau/qixylUT3zWWpoOd7J3awNNhzrJyE5TI5kxEA2E8D14gHBzgMI755NzzbRkD+k8of4IzfWdNNZ10ljXQVdLHxBbi19RW0hVbREVtUXkeDOSPFIREZGJ61JDtaYzJwFjDJU1RVTWFNFyUMnagwAAELJJREFUops9W08ONZJZvH4my99XSW6hGsmMRqRjAN/9+4l0BSn+5CKyFhUne0g4UYeWkz2xmei6Ds6e6MY6ljSPixkLClh8/Qwqa4sompGTsrPpIiIik5VmqiepjtO97H2mgfrXWjAGFq6ZxsqN1RSUp3495WQLnQ7ge2A/NmwpuXsRGbO8SRmHtRZ/a//Qko7mw52EBqJgoKwqj4raIipri5g+x4t7gmyaFBERmWi0/EMA6Pb188b2Uxx85QzRiMPcFWWs2lStRjIXMHCsi/aHDuLKdMeaupRf2W6WA4EwjYdiM9GNdZ30dAwAkFeUSWVtIZWLiqlYWEhmrueKjktERGSqUqiW8/R1h4YayYQGolQtLmLVpmqmz1MjmUF9b/voeOQQacWZlNy7lLSC8V+LHA07nDnWNbQuuq2xByykZ7qZuTDWTryytghvWZb+nERERJJAoVpGFOyPDDWS6e8JM22Ol1Wbq6leMrUbyQRePU3XE8dIr8yj5O7FuLLHZybYWkvH6V5OHYzNRp8+0kUk7OByGcrn5A+F6LLqPNUeFxERSQEK1fKuIqEoda+cYe8zDQQ6ghTPzGXlpqop10jGWkv39gZ6djSSWVNE0cdrcKWPba3v3q4gjYfipe7qOunrDgFQUJ5N5aJYiJ45v4D0LO0bFhERSTUK1XJJolGHI6+3sHdrA51n+8gvzWLlxipq1kyf9JvfbNTS9cRRel87S/bqcgrvnI9xJz5bHw5Gaa7vpKmuk8ZDHXSc7gUgM9dDZU3h0AbDvCJVZBEREUl1CtUyKtaxnHjTx56tJ2lt6CHHm86ym6tYfP3kbCRjw1Haf36YgYPt5L2nkvyN1Ze9/MVxLG2nYqXuGg92cPa4Hydqcae5mD7PO7Sko6QiN+U7MYqIiMj5FKrlslhraTrUyZ6tDTQfjjWSueo9FVz1nspJU3HC6Qvje+ggoYZuCm6fQ+66maM+R7ev/7zuhcG+CADFFblUDZa6m+clbYyXkoiIiMiVpeYvclmMMUMzq2dP+Nm7tYHXt5xk37ONLF4/g+U3V5FbOHE79EX8wVhTF18/RX9UQ/ZVpZf0vmBfmKbD57oXdrf1A5BTkMHsZSVU1hZRUVNEdr46WIqIiExFmqmWi2o/HWDftlPUvx5rJFOzZhorJmAjmXBrH7779uMMRCj+5CIy5xVc8Nho1KHlePfQbHTryW6sBU+Gm5kLCobWRRdOy57SVVNEREQmOy3/kDHX7etn3/ZT1L18BifqMHdlGSs3VVNamfqNZIIN3bT/+AC4DCX3LCF9Zu55r1tr6TzbN9QCvLm+i3AwijFQNutcqbvy2fm40yb3Bk4RERE5R6Faxk1fd4g3n2vk7ReaCA9EqVpczKpN1cyYf+GZ32Tqr2un42eHcOenU3LvEtKKs4DY79F06Ny66EBnEID80qx4iC5k5oJCMnMmx1pyERERGT2Fahl3wb4wb7/QzFs7Yo1kps/zsvKW1Gok07v7LJ2/OoJnei4Fd9XQeja+wfBQB77GAAAZ2WlU1JzrXphfkpXkUYuIiEiqUKiWKyYcilL38hn2bY83kqnIZdUt1cxdVYYrSSXkrLX0PN9I9zMNhAozOeBx03y8m2jEweU2TJ/rHVoXXVqVl7RxioiISGpTqJYrLhp1OPJaC3u3xRrJeEuzWHGFG8n0dAzQeLCd8O+aKfYHaQw57OuLUjgjh8qaIipqC5kxv2BS1t4WERGRsadQLUljHcvxN9vYu7VhqJHM8vdVsWj92DeSCQ1EaK7vGtpg6D/bx8psNzPTXbQXZpCxoYLK2mJyCiZuGUARERFJHoVqSTprLU11nezZdpLmw11k5KRx1Xsqueo9FZe9+c+JOrQ29AyVums53o3jWNI8LirmeakdiJDeOUD+5lnkbahImbXdIiIiMjEpVEtKOXvcz95tDZx400dahpvF189g+Xsv3kjGWou/rZ+mug4a6zppOtxJqD8CBkor84aqdJSVZdP58EHCZ3sp/NACclaVX6HfTERERCYzhWpJSe3NAfY+08CR11sxLqhZM50VG6soKDvXSGagN0zToc6h2eie9gEA8ooyqawtpKK2iIqaQrJyY90LI75+2u7fj9MTougTtWQtLErK7yYiIiKTj0K1pLRuXz/7njlF3SvxRjKrysgvyaKproPWUz1gIT3TzcyF50rdecuyfm85R6ipB98DB8Baiu9eTEZVfpJ+IxEREZmMFKplQuj1B3lrRyNvv9BMJOQwbXb+UKm78ll5uNwXrhoycKST9p/U4cpOo+RPluApnVht00VERCT1XWqoVl0xSaocbwZr75zH6ltnY6295OogfW+00vGLejylWZTcuwR3vqp7iIiISPIoVEtK8GS4L/nYnpea8f/mOOmz8yn51GJcWfprLCIiIsmlNCIThrWW7q0n6XmhiazFxRR9rAZzhZrKiIiIiLwbhepRiPj6wYArNx3XKGZWJXE26tD56BH69raSc+00Cu6Yh1FrcREREUkRCtWj0PnYEYLH/AAYjwtXrgdXbjruHA+uXA/uXA+unPTY98HXcj24sj0YtwLg5XJCUTp+WsfA4U7yb64i771VauoiIiIiKUWhehTyb64msmIApzdEtCeM0xsmGggR9QcJnQ7gBMLgjFxNxZWdFgvaw0K3O8eDK+9cKB8M4SbDrdAYF+0N0/7gAUJNPRTcOY/ca6cne0giIiIiv0ehehQyZnvJmO294OvWWmx/hGhvGCcQC9yx77EA7gRCRANhwmd7iQbC2P7IyCdym3jwTseV4xl6HJsJP/fzYDA3aZNzXXGkcwDf/fuJdA5Q/IlashaXJHtIIiIiIiNSqB5DxhhMdmy5B6UXP95GnPhs97lZbycQHgrlTiBEtDdMpLWPaCAEkZFnwU2mG/ewkO26QAh353owmWkTYi1y+Gwvbffvx4ailN67lIw5F/6fGREREZFkSzhUG2PcwG6g2Vp7uzFmNvAIUATsBT5prQ0ZYzKAh4BVQDvwUWvtyfg5vgz8CRAF/txauy3RcU0EJs2F25uB23vxGsvWWmwwOix0x2a9nXcE8nBbP85JP05fBEbK4C4zLGgPhvD0EZejuHM9GM+V35AZPO7H99ABTLqbss8swzMt54qPQURERGQ0xmKm+i+AOmCwP/S3ge9aax8xxvyIWFj+Yfx7p7V2njHmY/HjPmqMWQR8DFgMzACeNcYssNZGx2Bsk4YxBpOZhiszjbSSrIseb6MWp+8dM+CBYctS4rPhwfYBnEAIG3JGvm66e9gmTM/QjPiIGzOzPQnPgvfv99H+yCHSCjMpuXcJaYWZCZ1PRERE5EpIKFQbYyqA24BvAZ83sd11NwEfjx/yY+DviYXqO+KPAX4J/Gv8+DuAR6y1QeCEMeYocA2wM5GxTXXGbXDnpePOS8fDxWd6nVD03Kx3T+jcspT4EhQnECbaGSTU1IPTG4aRMrgBV/awwJ07fBOmB3dO+rDXPJj08zdkBl49Q9cTR0mvyKP47sW4czxjeEdERERExk+iM9XfA/4WyIv/XAx0WWsHd+A1ATPjj2cCjQDW2ogxxh8/fibw6rBzDn+PXCGudDeuIjcUXXxm2DoWpz9ybglK7/kz4IMz4uHmAAM9IWxw5A8djMeFazB0p7sJHveTubCQortqcaWrDriIiIhMHJcdqo0xtwOt1to9xpgbB58e4VB7kdfe7T3vvOangU8DVFVVjWq8MnaMy+DOia3B9pRf/Hgbds6tAx/ahBkm2jt8WUqI3HUz8N46G+OenNVMREREZPJKZKZ6HfAHxphbgUxia6q/BxQYY9Lis9UVwOn48U1AJdBkjEkDvEDHsOcHDX/Peay1/wb8G8Dq1atHLoUhKcd4XKQVZEDBxTdkioiIiExElz0laK39srW2wlo7i9hGwx3W2ruA54EPxw/7Y+CJ+OMn4z8Tf32HtdbGn/+YMSYjXjlkPvDa5Y5LRERERORKG4861V8EHjHG/A9gH3Bf/Pn7gJ/ENyJ2EAviWGsPGGP+EzgIRIDPqfKHiIiIiEwkJjZZPPGsXr3a7t69O9nDEBEREZFJzBizx1q7+mLHaUeYiIiIiEiCFKpFRERERBKkUC0iIiIikiCFahERERGRBClUi4iIiIgkSKFaRERERCRBCtUiIiIiIglSqBYRERERSZBCtYiIiIhIghSqRUREREQSpFAtIiIiIpIghWoRERERkQQpVIuIiIiIJEihWkREREQkQQrVIiIiIiIJUqgWEREREUmQQrWIiIiISIIUqkVEREREEqRQLSIiIiKSIIVqEREREZEEGWttssdwWYwxbUBDEi5dAviScN2pQPd2/Ojejh/d2/Gjezt+dG/Hj+7t+EnWva221pZe7KAJG6qTxRiz21q7OtnjmIx0b8eP7u340b0dP7q340f3dvzo3o6fVL+3Wv4hIiIiIpIghWoRERERkQQpVI/evyV7AJOY7u340b0dP7q340f3dvzo3o4f3dvxk9L3VmuqRUREREQSpJlqEREREZEEKVSLiIiIiCRIoVpEREREJEEK1SIiIiIiCVKoFhERERFJkEK1iEiSGWMqjTHPG2PqjDEHjDF/EX++yBiz3RhzJP69MP68Mcb8X2PMUWPMW8aYlcPO9X/i56iLH2NGuN77jDF7jDFvx7/fNOy1VfHnjw5/vzHmD+PndYwxq4cdP8sY02+MeSP+9aPxvFciIqlKoVpEJPkiwF9ba2uBNcDnjDGLgC8Bz1lr5wPPxX8G2AzMj399GvghgDHmOmAdcBWwBLgauGGE6/mA91trlwJ/DPxk2Gs/jJ9z8Pyb4s/vBz4IvDjC+Y5Za5fHvz4z+l9fRGTiU6gWEUkya+0Za+3e+OMeoA6YCdwB/Dh+2I+BD8Qf3wE8ZGNeBQqMMdMBC2QC6UAG4AFaRrjePmvt6fiPB4BMY0xG/Bz51tqdNtbE4KHBa1pr66y1h8f6dxcRmSwUqkVEUogxZhawAtgFlFtrz0AseANl8cNmAo3D3tYEzLTW7gSeB87Ev7ZZa+sucskPAfustcH4eZveed5LGPZsY8w+Y8wLxpjrL+F4EZFJJy3ZAxARkRhjTC7wKPCX1truEZZDDx06wnPWGDMPqAUq4s9tN8ZssNaOtGQDY8xi4NvAxnc770WGfQaosta2G2NWAY8bYxZba7sv8j4RkUlFM9UiIinAGOMhFqh/aq39VfzplviSDOLfW+PPNwGVw95eAZwG7gRetdYGrLUB4GlgjTHmzmEbCVfHz1cBPAZ8ylp7bNh5K0Y47wVZa4PW2vb44z3AMWDB6O+AiMjEplAtIpJk8Qob9wF11tp/HvbSk8Q2EhL//sSw5z8VrwKyBvDHl4ecAm4wxqTFQ/oN8XM+Nmwj4W5jTAGwBfiytfblwYvFz9FjjFkTH9Onhl3zQmMvNca444/nENvceDyR+yEiMhGZ2F4UERFJFmPMeuB3wNuAE3/674itq/5PoIpYYP5Da21HPPD+K7HKHH3APfGw7AZ+AGwgtmxjq7X28yNc76vAl4Ejw57eaK1tjc9kPwhkEZvp/jNrrTXG3An8C1AKdAFvWGtvMcZ8CPgGsQomUeDr1tpfj9GtERGZMBSqRUREREQSpOUfIiIiIiIJUqgWEREREUmQQrWIiIiISIIUqkVEREREEqRQLSIiIiKSIIVqEREREZEEKVSLiIiIiCRIoVpEREREJEH/HwmLtbyPP42HAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw a line chart of top 10 countries of current health expenditure per capita in 2015\n",
    "Percapita_line = ctycapita_top10.plot.line(\n",
    "                        figsize=(12,10),\n",
    "                        title='Top 10 Countries of Current Health Expenditure per Capita')\n",
    "Percapita_line.set_xlabel('2008-2015')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Compare the health spending of these ten countries in bar chart\n",
    "ctycapita_top10_bar = Percapita\n",
    "ctycapita_top10_bar = ctycapita_top10_bar.loc[ctycapita, years]\n",
    "Percapita_bar = ctycapita_top10_bar.sort_values(by='2015', ascending=False)\n",
    "pd.Series(Percapita_bar['2015']).plot(kind='barh',figsize=(10,6), title=' Current Health Expenditure per Capita in 2015') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Compare the Current Health Expenditure per Capita in 2015\n",
    "plt.figure(figsize=(8,8))\n",
    "sizes = pd.Series(ctycapita_top10_bar['2015'])\n",
    "labels = ctycapita\n",
    "explode = (0,0,0,0,0,0,0.1,0.1,0.1,0.1)\n",
    "plt.pie(sizes, startangle=150,explode=explode, autopct='%1.2f%%')\n",
    "plt.legend(labels, bbox_to_anchor=(1, 0.8))\n",
    "plt.title('Current Health Expenditure per Capita in 2015')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "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>InfantDeath per 1000</th>\n",
       "      <th>InfantDeathRate</th>\n",
       "      <th>LifeExpectancy</th>\n",
       "      <th>HospitalBeds per 1000</th>\n",
       "      <th>Physicians per 1000</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>0.04</td>\n",
       "      <td>0.37</td>\n",
       "      <td>82.90</td>\n",
       "      <td>nan</td>\n",
       "      <td>4.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0.07</td>\n",
       "      <td>0.58</td>\n",
       "      <td>78.69</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Norway</th>\n",
       "      <td>0.03</td>\n",
       "      <td>0.23</td>\n",
       "      <td>82.30</td>\n",
       "      <td>nan</td>\n",
       "      <td>4.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Luxembourg</th>\n",
       "      <td>0.02</td>\n",
       "      <td>0.23</td>\n",
       "      <td>82.29</td>\n",
       "      <td>4.80</td>\n",
       "      <td>2.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sweden</th>\n",
       "      <td>0.03</td>\n",
       "      <td>0.25</td>\n",
       "      <td>82.20</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denmark</th>\n",
       "      <td>0.04</td>\n",
       "      <td>0.36</td>\n",
       "      <td>80.70</td>\n",
       "      <td>2.50</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>0.04</td>\n",
       "      <td>0.32</td>\n",
       "      <td>82.40</td>\n",
       "      <td>nan</td>\n",
       "      <td>3.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ireland</th>\n",
       "      <td>0.05</td>\n",
       "      <td>0.32</td>\n",
       "      <td>81.45</td>\n",
       "      <td>nan</td>\n",
       "      <td>2.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>0.04</td>\n",
       "      <td>0.36</td>\n",
       "      <td>81.51</td>\n",
       "      <td>nan</td>\n",
       "      <td>3.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>0.03</td>\n",
       "      <td>0.31</td>\n",
       "      <td>80.64</td>\n",
       "      <td>nan</td>\n",
       "      <td>4.19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               InfantDeath per 1000  InfantDeathRate  LifeExpectancy  \\\n",
       "Country Name                                                           \n",
       "Switzerland                    0.04             0.37           82.90   \n",
       "United States                  0.07             0.58           78.69   \n",
       "Norway                         0.03             0.23           82.30   \n",
       "Luxembourg                     0.02             0.23           82.29   \n",
       "Sweden                         0.03             0.25           82.20   \n",
       "Denmark                        0.04             0.36           80.70   \n",
       "Australia                      0.04             0.32           82.40   \n",
       "Ireland                        0.05             0.32           81.45   \n",
       "Netherlands                    0.04             0.36           81.51   \n",
       "Germany                        0.03             0.31           80.64   \n",
       "\n",
       "               HospitalBeds per 1000  Physicians per 1000  \n",
       "Country Name                                               \n",
       "Switzerland                      nan                 4.19  \n",
       "United States                    nan                  nan  \n",
       "Norway                           nan                 4.38  \n",
       "Luxembourg                      4.80                 2.92  \n",
       "Sweden                           nan                  nan  \n",
       "Denmark                         2.50                  nan  \n",
       "Australia                        nan                 3.50  \n",
       "Ireland                          nan                 2.87  \n",
       "Netherlands                      nan                 3.48  \n",
       "Germany                          nan                 4.19  "
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a dataframe of top 10 countries about their infant death, life expectancy, hospital beds and physicians\n",
    "top10_ctycapita = pd.DataFrame({'InfantDeath per 1000':infantdeath.loc[ctycapita,'2015']/Pop.loc[ctycapita,'2015']*1000,\n",
    "                                'InfantDeathRate':infantdeath.loc[ctycapita,'2015']/Pop.loc[ctycapita,'2015']*1000/birthrate.loc[ctycapita,'2015']*100,\n",
    "                                'LifeExpectancy':lifespan.loc[ctycapita, '2015'],'HospitalBeds per 1000':Hospbed.loc[ctycapita,'2015'],\n",
    "                                'Physicians per 1000':Doc.loc[ctycapita, '2015']})\n",
    "#top10_ctycapita['InfantDeath per 1000'] = top10_ctycapita['InfantDeath']/top10_ctycapita['Population']*1000\n",
    "top10_ctycapita"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "71.7462220219262"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the mean of life expectancy all over the world\n",
    "np.mean(lifespan.loc[:, '2015'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6872526591893714"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the mean of Infant Death per 1000 all over the world\n",
    "np.mean(infantdeath.loc[:,'2015']/Pop.loc[:,'2015']*1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.4157674452266287"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the mean of infant death of birth all over the world\n",
    "np.mean(infantdeath.loc[:,'2015']/Pop.loc[:,'2015']*1000/birthrate.loc[:,'2015']*100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.4488749999999997"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the mean of Physicians per 1,000 people all over the world\n",
    "np.mean(Doc.loc[:, '2015'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.0279999999999996"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#the mean of Hospital beds per 1,000 people all over the world\n",
    "np.mean(Hospbed.loc[:, '2015'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cuba</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>Cuba</td>\n",
       "      <td>Austria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Greece</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>Greece</td>\n",
       "      <td>Monaco</td>\n",
       "      <td>Monaco</td>\n",
       "      <td>Monaco</td>\n",
       "      <td>Monaco</td>\n",
       "      <td>Norway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Russian Federation</td>\n",
       "      <td>Greece</td>\n",
       "      <td>Greece</td>\n",
       "      <td>Greece</td>\n",
       "      <td>San Marino</td>\n",
       "      <td>Lithuania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Spain</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Austria</td>\n",
       "      <td>San Marino</td>\n",
       "      <td>San Marino</td>\n",
       "      <td>San Marino</td>\n",
       "      <td>Greece</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Georgia</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>Russian Federation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Norway</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Russian Federation</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>Malta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>Qatar</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Lithuania</td>\n",
       "      <td>Lithuania</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Italy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Latvia</td>\n",
       "      <td>Latvia</td>\n",
       "      <td>Lithuania</td>\n",
       "      <td>Lithuania</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>Lithuania</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>Iceland</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Iceland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Iceland</td>\n",
       "      <td>Belarus</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Russian Federation</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Russian Federation</td>\n",
       "      <td>Andorra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Kazakhstan</td>\n",
       "      <td>Kazakhstan</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Maldives</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>Hungary</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>Russian Federation</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Israel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Lithuania</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>Belarus</td>\n",
       "      <td>Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>Slovak Republic</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Belarus</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>Netherlands</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          2008             2009                2010                2011  \\\n",
       "1         Cuba             Cuba                Cuba                Cuba   \n",
       "2       Greece          Georgia              Greece              Monaco   \n",
       "3      Belarus            Spain  Russian Federation              Greece   \n",
       "4        Spain           Norway             Austria          San Marino   \n",
       "5      Georgia           Sweden             Georgia             Austria   \n",
       "6        Italy            Italy              Norway             Georgia   \n",
       "7       Norway         Portugal             Andorra  Russian Federation   \n",
       "8      Uruguay       Azerbaijan               Qatar              Norway   \n",
       "9       Latvia           Latvia           Lithuania           Lithuania   \n",
       "10      Sweden          Iceland              Sweden            Portugal   \n",
       "11     Iceland          Belarus            Portugal              Sweden   \n",
       "12  Kazakhstan       Kazakhstan         Switzerland             Germany   \n",
       "13    Portugal          Hungary             Germany            Bulgaria   \n",
       "14   Lithuania          Denmark            Bulgaria               Spain   \n",
       "15    Bulgaria  Slovak Republic               Spain         Switzerland   \n",
       "\n",
       "                  2012                2013                2014  \\\n",
       "1                 Cuba                Cuba                Cuba   \n",
       "2               Monaco              Monaco              Monaco   \n",
       "3               Greece              Greece          San Marino   \n",
       "4           San Marino          San Marino              Greece   \n",
       "5              Austria             Austria             Austria   \n",
       "6              Georgia             Georgia             Georgia   \n",
       "7               Norway              Norway            Portugal   \n",
       "8            Lithuania           Lithuania              Norway   \n",
       "9             Portugal            Portugal           Lithuania   \n",
       "10              Sweden              Sweden              Sweden   \n",
       "11  Russian Federation             Germany  Russian Federation   \n",
       "12             Germany         Switzerland             Germany   \n",
       "13            Bulgaria  Russian Federation         Switzerland   \n",
       "14         Switzerland            Bulgaria             Belarus   \n",
       "15             Belarus               Italy            Bulgaria   \n",
       "\n",
       "                  2015  \n",
       "1              Austria  \n",
       "2               Norway  \n",
       "3            Lithuania  \n",
       "4              Germany  \n",
       "5          Switzerland  \n",
       "6   Russian Federation  \n",
       "7                Malta  \n",
       "8                Italy  \n",
       "9                Spain  \n",
       "10             Iceland  \n",
       "11             Andorra  \n",
       "12            Maldives  \n",
       "13              Israel  \n",
       "14           Australia  \n",
       "15         Netherlands  "
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top 15 Physicians per 1,000 people between 2008 and 2015\n",
    "top_ctys_range(Doc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
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       "      <td>Macao SAR, China</td>\n",
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       "      <th>5</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Iceland</td>\n",
       "      <td>Cayman Islands</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Iceland</td>\n",
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       "      <td>Switzerland</td>\n",
       "      <td>Spain</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Iceland</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Iceland</td>\n",
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       "      <td>Italy</td>\n",
       "      <td>Italy</td>\n",
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       "      <td>Iceland</td>\n",
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       "      <td>Iceland</td>\n",
       "      <td>Liechtenstein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Australia</td>\n",
       "      <td>Liechtenstein</td>\n",
       "      <td>Liechtenstein</td>\n",
       "      <td>France</td>\n",
       "      <td>Liechtenstein</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>France</td>\n",
       "      <td>Italy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>France</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Italy</td>\n",
       "      <td>France</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Iceland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Spain</td>\n",
       "      <td>France</td>\n",
       "      <td>France</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Australia</td>\n",
       "      <td>Australia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Liechtenstein</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Iceland</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Norway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Israel</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>France</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>Luxembourg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Israel</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Canada</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Israel</td>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Sweden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Norway</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Malta</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Bermuda</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Liechtenstein</td>\n",
       "      <td>Canada</td>\n",
       "    </tr>\n",
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       "</div>"
      ],
      "text/plain": [
       "                    2008                  2009                  2010  \\\n",
       "1          Liechtenstein                 Japan  Hong Kong SAR, China   \n",
       "2                  Japan  Hong Kong SAR, China                 Japan   \n",
       "3   Hong Kong SAR, China      Macao SAR, China      Macao SAR, China   \n",
       "4       Macao SAR, China           Switzerland           Switzerland   \n",
       "5            Switzerland               Iceland        Cayman Islands   \n",
       "6                Iceland                 Italy                 Italy   \n",
       "7                  Italy             Australia               Iceland   \n",
       "8              Australia         Liechtenstein         Liechtenstein   \n",
       "9                 France                 Spain             Australia   \n",
       "10                 Spain                France                France   \n",
       "11                Sweden                Israel                 Spain   \n",
       "12                Israel                Sweden                Israel   \n",
       "13             Singapore             Singapore             Singapore   \n",
       "14                Canada                Canada                Sweden   \n",
       "15                Norway                Norway                 Malta   \n",
       "\n",
       "                    2011                  2012                  2013  \\\n",
       "1   Hong Kong SAR, China            San Marino  Hong Kong SAR, China   \n",
       "2       Macao SAR, China  Hong Kong SAR, China      Macao SAR, China   \n",
       "3            Switzerland      Macao SAR, China                 Japan   \n",
       "4                  Japan                 Japan                 Spain   \n",
       "5                  Spain               Iceland           Switzerland   \n",
       "6                Iceland           Switzerland                 Italy   \n",
       "7                  Italy                 Spain         Liechtenstein   \n",
       "8                 France         Liechtenstein             Singapore   \n",
       "9              Australia                 Italy                France   \n",
       "10                Sweden             Australia             Australia   \n",
       "11         Liechtenstein             Singapore               Iceland   \n",
       "12             Singapore                France                Israel   \n",
       "13                Israel                Sweden                Sweden   \n",
       "14                Canada                Israel            Luxembourg   \n",
       "15                Norway               Bermuda                Canada   \n",
       "\n",
       "                    2014                  2015  \n",
       "1   Hong Kong SAR, China  Hong Kong SAR, China  \n",
       "2                  Japan                 Japan  \n",
       "3       Macao SAR, China      Macao SAR, China  \n",
       "4                  Spain           Switzerland  \n",
       "5            Switzerland                 Spain  \n",
       "6                  Italy             Singapore  \n",
       "7                Iceland         Liechtenstein  \n",
       "8                 France                 Italy  \n",
       "9              Singapore               Iceland  \n",
       "10             Australia             Australia  \n",
       "11                Sweden                Norway  \n",
       "12            Luxembourg            Luxembourg  \n",
       "13                Israel                France  \n",
       "14                Norway                Sweden  \n",
       "15         Liechtenstein                Canada  "
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top 15 life expectancy between 2008 and 2015\n",
    "top_ctys_range(lifespan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country Name\n",
       "Switzerland      38.20\n",
       "United States    28.52\n",
       "Norway           -3.91\n",
       "Luxembourg      -17.38\n",
       "Sweden           20.36\n",
       "Denmark         -10.43\n",
       "Australia        20.67\n",
       "Ireland         -15.29\n",
       "Netherlands     -12.56\n",
       "Germany          -2.92\n",
       "Name: Growth rate, dtype: float64"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a column of Growth rate and calculate the rate of health expenditure\n",
    "Percapita['Growth rate'] = 100*(Percapita['2015'] - Percapita['2008'])/Percapita['2008']\n",
    "# the growth rate of top 10 countries of current health expenditure per capita in 2015\n",
    "Percapita.loc[ctycapita,'Growth rate']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>Growth rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Myanmar</th>\n",
       "      <td>10.44</td>\n",
       "      <td>13.65</td>\n",
       "      <td>15.34</td>\n",
       "      <td>19.32</td>\n",
       "      <td>23.28</td>\n",
       "      <td>23.85</td>\n",
       "      <td>62.39</td>\n",
       "      <td>59.12</td>\n",
       "      <td>466.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>145.78</td>\n",
       "      <td>174.39</td>\n",
       "      <td>198.87</td>\n",
       "      <td>254.09</td>\n",
       "      <td>298.71</td>\n",
       "      <td>339.06</td>\n",
       "      <td>376.19</td>\n",
       "      <td>425.63</td>\n",
       "      <td>191.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sao Tome and Principe</th>\n",
       "      <td>55.36</td>\n",
       "      <td>80.69</td>\n",
       "      <td>59.55</td>\n",
       "      <td>73.19</td>\n",
       "      <td>105.29</td>\n",
       "      <td>146.98</td>\n",
       "      <td>161.99</td>\n",
       "      <td>159.91</td>\n",
       "      <td>188.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sierra Leone</th>\n",
       "      <td>37.09</td>\n",
       "      <td>38.46</td>\n",
       "      <td>36.82</td>\n",
       "      <td>46.97</td>\n",
       "      <td>50.03</td>\n",
       "      <td>82.23</td>\n",
       "      <td>139.76</td>\n",
       "      <td>106.69</td>\n",
       "      <td>187.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vanuatu</th>\n",
       "      <td>35.41</td>\n",
       "      <td>53.90</td>\n",
       "      <td>82.29</td>\n",
       "      <td>74.12</td>\n",
       "      <td>84.60</td>\n",
       "      <td>172.50</td>\n",
       "      <td>113.85</td>\n",
       "      <td>98.99</td>\n",
       "      <td>179.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liberia</th>\n",
       "      <td>25.59</td>\n",
       "      <td>32.08</td>\n",
       "      <td>32.68</td>\n",
       "      <td>39.98</td>\n",
       "      <td>38.53</td>\n",
       "      <td>41.62</td>\n",
       "      <td>64.63</td>\n",
       "      <td>69.29</td>\n",
       "      <td>170.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East Asia &amp; Pacific (excluding high income)</th>\n",
       "      <td>124.93</td>\n",
       "      <td>145.31</td>\n",
       "      <td>170.11</td>\n",
       "      <td>212.49</td>\n",
       "      <td>246.14</td>\n",
       "      <td>274.57</td>\n",
       "      <td>300.75</td>\n",
       "      <td>332.42</td>\n",
       "      <td>166.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East Asia &amp; Pacific (IDA &amp; IBRD countries)</th>\n",
       "      <td>124.94</td>\n",
       "      <td>145.32</td>\n",
       "      <td>170.11</td>\n",
       "      <td>212.50</td>\n",
       "      <td>246.15</td>\n",
       "      <td>274.58</td>\n",
       "      <td>300.76</td>\n",
       "      <td>332.44</td>\n",
       "      <td>166.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uzbekistan</th>\n",
       "      <td>51.17</td>\n",
       "      <td>61.05</td>\n",
       "      <td>74.34</td>\n",
       "      <td>86.70</td>\n",
       "      <td>103.11</td>\n",
       "      <td>112.01</td>\n",
       "      <td>122.63</td>\n",
       "      <td>133.95</td>\n",
       "      <td>161.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bolivia</th>\n",
       "      <td>78.70</td>\n",
       "      <td>90.28</td>\n",
       "      <td>100.98</td>\n",
       "      <td>120.39</td>\n",
       "      <td>135.58</td>\n",
       "      <td>162.86</td>\n",
       "      <td>180.48</td>\n",
       "      <td>197.26</td>\n",
       "      <td>150.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nepal</th>\n",
       "      <td>19.23</td>\n",
       "      <td>21.20</td>\n",
       "      <td>29.97</td>\n",
       "      <td>34.32</td>\n",
       "      <td>33.51</td>\n",
       "      <td>37.00</td>\n",
       "      <td>41.39</td>\n",
       "      <td>44.42</td>\n",
       "      <td>130.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Papua New Guinea</th>\n",
       "      <td>36.72</td>\n",
       "      <td>38.96</td>\n",
       "      <td>42.25</td>\n",
       "      <td>56.76</td>\n",
       "      <td>76.16</td>\n",
       "      <td>98.97</td>\n",
       "      <td>97.55</td>\n",
       "      <td>77.35</td>\n",
       "      <td>110.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Armenia</th>\n",
       "      <td>174.31</td>\n",
       "      <td>140.38</td>\n",
       "      <td>169.42</td>\n",
       "      <td>133.22</td>\n",
       "      <td>247.32</td>\n",
       "      <td>317.86</td>\n",
       "      <td>281.29</td>\n",
       "      <td>366.05</td>\n",
       "      <td>110.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladesh</th>\n",
       "      <td>15.33</td>\n",
       "      <td>17.38</td>\n",
       "      <td>20.18</td>\n",
       "      <td>22.16</td>\n",
       "      <td>22.75</td>\n",
       "      <td>25.86</td>\n",
       "      <td>28.83</td>\n",
       "      <td>31.84</td>\n",
       "      <td>107.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>575.13</td>\n",
       "      <td>657.69</td>\n",
       "      <td>670.96</td>\n",
       "      <td>859.55</td>\n",
       "      <td>991.67</td>\n",
       "      <td>1091.32</td>\n",
       "      <td>1248.81</td>\n",
       "      <td>1194.10</td>\n",
       "      <td>107.62</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              2008   2009   2010   2011  \\\n",
       "Country Name                                                              \n",
       "Myanmar                                      10.44  13.65  15.34  19.32   \n",
       "China                                       145.78 174.39 198.87 254.09   \n",
       "Sao Tome and Principe                        55.36  80.69  59.55  73.19   \n",
       "Sierra Leone                                 37.09  38.46  36.82  46.97   \n",
       "Vanuatu                                      35.41  53.90  82.29  74.12   \n",
       "Liberia                                      25.59  32.08  32.68  39.98   \n",
       "East Asia & Pacific (excluding high income) 124.93 145.31 170.11 212.49   \n",
       "East Asia & Pacific (IDA & IBRD countries)  124.94 145.32 170.11 212.50   \n",
       "Uzbekistan                                   51.17  61.05  74.34  86.70   \n",
       "Bolivia                                      78.70  90.28 100.98 120.39   \n",
       "Nepal                                        19.23  21.20  29.97  34.32   \n",
       "Papua New Guinea                             36.72  38.96  42.25  56.76   \n",
       "Armenia                                     174.31 140.38 169.42 133.22   \n",
       "Bangladesh                                   15.33  17.38  20.18  22.16   \n",
       "Saudi Arabia                                575.13 657.69 670.96 859.55   \n",
       "\n",
       "                                              2012    2013    2014    2015  \\\n",
       "Country Name                                                                 \n",
       "Myanmar                                      23.28   23.85   62.39   59.12   \n",
       "China                                       298.71  339.06  376.19  425.63   \n",
       "Sao Tome and Principe                       105.29  146.98  161.99  159.91   \n",
       "Sierra Leone                                 50.03   82.23  139.76  106.69   \n",
       "Vanuatu                                      84.60  172.50  113.85   98.99   \n",
       "Liberia                                      38.53   41.62   64.63   69.29   \n",
       "East Asia & Pacific (excluding high income) 246.14  274.57  300.75  332.42   \n",
       "East Asia & Pacific (IDA & IBRD countries)  246.15  274.58  300.76  332.44   \n",
       "Uzbekistan                                  103.11  112.01  122.63  133.95   \n",
       "Bolivia                                     135.58  162.86  180.48  197.26   \n",
       "Nepal                                        33.51   37.00   41.39   44.42   \n",
       "Papua New Guinea                             76.16   98.97   97.55   77.35   \n",
       "Armenia                                     247.32  317.86  281.29  366.05   \n",
       "Bangladesh                                   22.75   25.86   28.83   31.84   \n",
       "Saudi Arabia                                991.67 1091.32 1248.81 1194.10   \n",
       "\n",
       "                                             Growth rate  \n",
       "Country Name                                              \n",
       "Myanmar                                           466.04  \n",
       "China                                             191.97  \n",
       "Sao Tome and Principe                             188.85  \n",
       "Sierra Leone                                      187.66  \n",
       "Vanuatu                                           179.53  \n",
       "Liberia                                           170.72  \n",
       "East Asia & Pacific (excluding high income)       166.09  \n",
       "East Asia & Pacific (IDA & IBRD countries)        166.08  \n",
       "Uzbekistan                                        161.75  \n",
       "Bolivia                                           150.66  \n",
       "Nepal                                             130.98  \n",
       "Papua New Guinea                                  110.67  \n",
       "Armenia                                           110.00  \n",
       "Bangladesh                                        107.76  \n",
       "Saudi Arabia                                      107.62  "
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top 15 of the fastest growth rate\n",
    "Percapita = Percapita.sort_values(by='Growth rate', ascending=False)\n",
    "Percapita.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [],
   "source": [
    "# top 10 countries of the growth rate\n",
    "ctycapita_growth = ['Myanmar','China','Sao Tome and Principe','Sierra Leone','Vanuatu',\n",
    "                    'Liberia','Uzbekistan','Bolivia','Nepal','Papua New Guinea']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "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>HealthSpend</th>\n",
       "      <th>InfantDeath per 1000</th>\n",
       "      <th>InfantDeathRate</th>\n",
       "      <th>LifeExpectancy</th>\n",
       "      <th>HospitalBeds per 1000</th>\n",
       "      <th>Physicians per 1000</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Myanmar</th>\n",
       "      <td>59.12</td>\n",
       "      <td>0.74</td>\n",
       "      <td>4.10</td>\n",
       "      <td>66.46</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>425.63</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.95</td>\n",
       "      <td>76.09</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sao Tome and Principe</th>\n",
       "      <td>159.91</td>\n",
       "      <td>0.92</td>\n",
       "      <td>2.68</td>\n",
       "      <td>66.49</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sierra Leone</th>\n",
       "      <td>106.69</td>\n",
       "      <td>3.09</td>\n",
       "      <td>8.67</td>\n",
       "      <td>51.42</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vanuatu</th>\n",
       "      <td>98.99</td>\n",
       "      <td>0.61</td>\n",
       "      <td>2.34</td>\n",
       "      <td>71.92</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liberia</th>\n",
       "      <td>69.29</td>\n",
       "      <td>2.03</td>\n",
       "      <td>5.85</td>\n",
       "      <td>62.01</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uzbekistan</th>\n",
       "      <td>133.95</td>\n",
       "      <td>0.48</td>\n",
       "      <td>2.04</td>\n",
       "      <td>71.19</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bolivia</th>\n",
       "      <td>197.26</td>\n",
       "      <td>0.70</td>\n",
       "      <td>2.98</td>\n",
       "      <td>68.76</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nepal</th>\n",
       "      <td>44.42</td>\n",
       "      <td>0.60</td>\n",
       "      <td>2.99</td>\n",
       "      <td>69.89</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Papua New Guinea</th>\n",
       "      <td>77.35</td>\n",
       "      <td>1.23</td>\n",
       "      <td>4.39</td>\n",
       "      <td>65.38</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       HealthSpend  InfantDeath per 1000  InfantDeathRate  \\\n",
       "Country Name                                                                \n",
       "Myanmar                      59.12                  0.74             4.10   \n",
       "China                       425.63                  0.12             0.95   \n",
       "Sao Tome and Principe       159.91                  0.92             2.68   \n",
       "Sierra Leone                106.69                  3.09             8.67   \n",
       "Vanuatu                      98.99                  0.61             2.34   \n",
       "Liberia                      69.29                  2.03             5.85   \n",
       "Uzbekistan                  133.95                  0.48             2.04   \n",
       "Bolivia                     197.26                  0.70             2.98   \n",
       "Nepal                        44.42                  0.60             2.99   \n",
       "Papua New Guinea             77.35                  1.23             4.39   \n",
       "\n",
       "                       LifeExpectancy  HospitalBeds per 1000  \\\n",
       "Country Name                                                   \n",
       "Myanmar                         66.46                    nan   \n",
       "China                           76.09                    nan   \n",
       "Sao Tome and Principe           66.49                    nan   \n",
       "Sierra Leone                    51.42                    nan   \n",
       "Vanuatu                         71.92                    nan   \n",
       "Liberia                         62.01                    nan   \n",
       "Uzbekistan                      71.19                    nan   \n",
       "Bolivia                         68.76                    nan   \n",
       "Nepal                           69.89                    nan   \n",
       "Papua New Guinea                65.38                    nan   \n",
       "\n",
       "                       Physicians per 1000  \n",
       "Country Name                                \n",
       "Myanmar                                nan  \n",
       "China                                 1.81  \n",
       "Sao Tome and Principe                  nan  \n",
       "Sierra Leone                           nan  \n",
       "Vanuatu                                nan  \n",
       "Liberia                                nan  \n",
       "Uzbekistan                             nan  \n",
       "Bolivia                                nan  \n",
       "Nepal                                  nan  \n",
       "Papua New Guinea                       nan  "
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a dataframe of top 10 countries about their infant death, life expectancy, hospital beds and physicians\n",
    "top10_ctycapita_growth = pd.DataFrame({'HealthSpend':Percapita.loc[ctycapita_growth,'2015'],\n",
    "                                       'InfantDeath per 1000':infantdeath.loc[ctycapita_growth,'2015']/Pop.loc[ctycapita_growth,'2015']*1000,\n",
    "                                'InfantDeathRate':infantdeath.loc[ctycapita_growth,'2015']/Pop.loc[ctycapita_growth,'2015']*1000/birthrate.loc[ctycapita_growth,'2015']*100,\n",
    "                                'LifeExpectancy':lifespan.loc[ctycapita_growth, '2015'],'HospitalBeds per 1000':Hospbed.loc[ctycapita_growth,'2015'],\n",
    "                                'Physicians per 1000':Doc.loc[ctycapita_growth, '2015']})\n",
    "top10_ctycapita_growth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctycapita_top10_rate = Percapita\n",
    "ctycapita_top10_rate = ctycapita_top10_rate.loc[ctycapita_growth, years]\n",
    "ctycapita_top10_rate = ctycapita_top10_rate.stack().unstack(0)\n",
    "Percapita_line_rate = ctycapita_top10_rate.plot.line(\n",
    "                        figsize=(12,10),\n",
    "                        title='Top 10 Countries of Fastest Current Health Expenditure Growth per Capita')\n",
    "Percapita_line_rate.set_xlabel('2008-2015')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1005.9596414049356"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the mean of health spending all over the world\n",
    "np.mean(Percapita.loc[:, '2015'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "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>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Marshall Islands</td>\n",
       "      <td>Marshall Islands</td>\n",
       "      <td>Marshall Islands</td>\n",
       "      <td>Marshall Islands</td>\n",
       "      <td>Marshall Islands</td>\n",
       "      <td>Marshall Islands</td>\n",
       "      <td>Sierra Leone</td>\n",
       "      <td>Marshall Islands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Nauru</td>\n",
       "      <td>United States</td>\n",
       "      <td>United States</td>\n",
       "      <td>United States</td>\n",
       "      <td>United States</td>\n",
       "      <td>United States</td>\n",
       "      <td>Marshall Islands</td>\n",
       "      <td>Sierra Leone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>United States</td>\n",
       "      <td>North America</td>\n",
       "      <td>North America</td>\n",
       "      <td>North America</td>\n",
       "      <td>North America</td>\n",
       "      <td>North America</td>\n",
       "      <td>United States</td>\n",
       "      <td>United States</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>North America</td>\n",
       "      <td>Kiribati</td>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>North America</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Kiribati</td>\n",
       "      <td>Moldova</td>\n",
       "      <td>Micronesia, Fed. Sts.</td>\n",
       "      <td>Micronesia, Fed. Sts.</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>Liberia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Micronesia, Fed. Sts.</td>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>Moldova</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Liberia</td>\n",
       "      <td>Tuvalu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Maldives</td>\n",
       "      <td>Micronesia, Fed. Sts.</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Micronesia, Fed. Sts.</td>\n",
       "      <td>Micronesia, Fed. Sts.</td>\n",
       "      <td>Maldives</td>\n",
       "      <td>Micronesia, Fed. Sts.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Liberia</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>OECD members</td>\n",
       "      <td>OECD members</td>\n",
       "      <td>OECD members</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>Post-demographic dividend</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Moldova</td>\n",
       "      <td>OECD members</td>\n",
       "      <td>OECD members</td>\n",
       "      <td>High income</td>\n",
       "      <td>High income</td>\n",
       "      <td>Palau</td>\n",
       "      <td>Micronesia, Fed. Sts.</td>\n",
       "      <td>OECD members</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Post-demographic dividend</td>\n",
       "      <td>High income</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Moldova</td>\n",
       "      <td>Palau</td>\n",
       "      <td>High income</td>\n",
       "      <td>OECD members</td>\n",
       "      <td>High income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>OECD members</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Palau</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>High income</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>High income</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Sierra Leone</td>\n",
       "      <td>High income</td>\n",
       "      <td>Andorra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>France</td>\n",
       "      <td>Burundi</td>\n",
       "      <td>France</td>\n",
       "      <td>Moldova</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Palau</td>\n",
       "      <td>Maldives</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Maldives</td>\n",
       "      <td>Uganda</td>\n",
       "      <td>Haiti</td>\n",
       "      <td>France</td>\n",
       "      <td>Maldives</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         2008                       2009  \\\n",
       "1            Marshall Islands           Marshall Islands   \n",
       "2                       Nauru              United States   \n",
       "3               United States              North America   \n",
       "4               North America                   Kiribati   \n",
       "5                    Kiribati                    Moldova   \n",
       "6       Micronesia, Fed. Sts.                     Tuvalu   \n",
       "7                    Maldives      Micronesia, Fed. Sts.   \n",
       "8                     Liberia  Post-demographic dividend   \n",
       "9                     Moldova               OECD members   \n",
       "10  Post-demographic dividend                High income   \n",
       "11               OECD members                    Germany   \n",
       "12                High income                    Andorra   \n",
       "13                     Tuvalu                     France   \n",
       "14                    Andorra                    Denmark   \n",
       "15                Afghanistan                   Maldives   \n",
       "\n",
       "                         2010                       2011  \\\n",
       "1            Marshall Islands           Marshall Islands   \n",
       "2               United States              United States   \n",
       "3               North America              North America   \n",
       "4                      Tuvalu                     Tuvalu   \n",
       "5       Micronesia, Fed. Sts.      Micronesia, Fed. Sts.   \n",
       "6                     Moldova  Post-demographic dividend   \n",
       "7   Post-demographic dividend                    Andorra   \n",
       "8                    Zimbabwe               OECD members   \n",
       "9                OECD members                High income   \n",
       "10                    Andorra                    Moldova   \n",
       "11                      Palau                Switzerland   \n",
       "12                High income                    Germany   \n",
       "13                    Burundi                     France   \n",
       "14                    Germany                     Sweden   \n",
       "15                     Uganda                      Haiti   \n",
       "\n",
       "                         2012                       2013  \\\n",
       "1            Marshall Islands           Marshall Islands   \n",
       "2               United States              United States   \n",
       "3               North America              North America   \n",
       "4                      Tuvalu                    Andorra   \n",
       "5   Post-demographic dividend                     Tuvalu   \n",
       "6                     Andorra  Post-demographic dividend   \n",
       "7       Micronesia, Fed. Sts.      Micronesia, Fed. Sts.   \n",
       "8                OECD members               OECD members   \n",
       "9                 High income                      Palau   \n",
       "10                      Palau                High income   \n",
       "11                Switzerland                     Malawi   \n",
       "12                     Sweden               Sierra Leone   \n",
       "13                    Moldova                Switzerland   \n",
       "14                Netherlands                     Sweden   \n",
       "15                     France                   Maldives   \n",
       "\n",
       "                         2014                       2015  \n",
       "1                Sierra Leone           Marshall Islands  \n",
       "2            Marshall Islands               Sierra Leone  \n",
       "3               United States              United States  \n",
       "4               North America              North America  \n",
       "5                      Tuvalu                    Liberia  \n",
       "6                     Liberia                     Tuvalu  \n",
       "7                    Maldives      Micronesia, Fed. Sts.  \n",
       "8   Post-demographic dividend  Post-demographic dividend  \n",
       "9       Micronesia, Fed. Sts.               OECD members  \n",
       "10               OECD members                High income  \n",
       "11                    Andorra                Switzerland  \n",
       "12                High income                    Andorra  \n",
       "13                      Palau                   Maldives  \n",
       "14                Switzerland                    Germany  \n",
       "15                     Sweden                     France  "
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top 15 current health expenditure per GDP between 2008 and 2015\n",
    "top_ctys_range(PerGDP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [],
   "source": [
    "#top 10 countries of current health expenditure per GDP in 2015\n",
    "ctyGDP = ['Sierra Leone', 'United States', 'Liberia', 'Tuvalu', 'Micronesia, Fed. Sts.', \n",
    "          'Switzerland', 'Andorra', 'Maldives', 'Germany', 'France']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "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>InfantDeath per 1000</th>\n",
       "      <th>InfantDeathRate</th>\n",
       "      <th>LifeExpectancy</th>\n",
       "      <th>HospitalBeds per 1000</th>\n",
       "      <th>Physicians per 1000</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sierra Leone</th>\n",
       "      <td>3.09</td>\n",
       "      <td>8.67</td>\n",
       "      <td>51.42</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>0.07</td>\n",
       "      <td>0.58</td>\n",
       "      <td>78.69</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liberia</th>\n",
       "      <td>2.03</td>\n",
       "      <td>5.85</td>\n",
       "      <td>62.01</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tuvalu</th>\n",
       "      <td>0.45</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Micronesia, Fed. Sts.</th>\n",
       "      <td>0.66</td>\n",
       "      <td>2.79</td>\n",
       "      <td>69.08</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>0.04</td>\n",
       "      <td>0.37</td>\n",
       "      <td>82.90</td>\n",
       "      <td>nan</td>\n",
       "      <td>4.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>0.03</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>3.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maldives</th>\n",
       "      <td>0.14</td>\n",
       "      <td>0.75</td>\n",
       "      <td>77.04</td>\n",
       "      <td>nan</td>\n",
       "      <td>3.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>0.03</td>\n",
       "      <td>0.31</td>\n",
       "      <td>80.64</td>\n",
       "      <td>nan</td>\n",
       "      <td>4.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>0.04</td>\n",
       "      <td>0.33</td>\n",
       "      <td>82.27</td>\n",
       "      <td>nan</td>\n",
       "      <td>3.23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       InfantDeath per 1000  InfantDeathRate  LifeExpectancy  \\\n",
       "Country Name                                                                   \n",
       "Sierra Leone                           3.09             8.67           51.42   \n",
       "United States                          0.07             0.58           78.69   \n",
       "Liberia                                2.03             5.85           62.01   \n",
       "Tuvalu                                 0.45              nan             nan   \n",
       "Micronesia, Fed. Sts.                  0.66             2.79           69.08   \n",
       "Switzerland                            0.04             0.37           82.90   \n",
       "Andorra                                0.03              nan             nan   \n",
       "Maldives                               0.14             0.75           77.04   \n",
       "Germany                                0.03             0.31           80.64   \n",
       "France                                 0.04             0.33           82.27   \n",
       "\n",
       "                       HospitalBeds per 1000  Physicians per 1000  \n",
       "Country Name                                                       \n",
       "Sierra Leone                             nan                  nan  \n",
       "United States                            nan                  nan  \n",
       "Liberia                                  nan                  nan  \n",
       "Tuvalu                                   nan                  nan  \n",
       "Micronesia, Fed. Sts.                    nan                  nan  \n",
       "Switzerland                              nan                 4.19  \n",
       "Andorra                                  nan                 3.69  \n",
       "Maldives                                 nan                 3.61  \n",
       "Germany                                  nan                 4.19  \n",
       "France                                   nan                 3.23  "
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a dataframe of top 10 countries about their infant death, life expectancy, hospital beds and physicians\n",
    "top10_ctyGDP = pd.DataFrame({'InfantDeath per 1000':infantdeath.loc[ctyGDP,'2015']/Pop.loc[ctyGDP,'2015']*1000,\n",
    "                                'InfantDeathRate':infantdeath.loc[ctyGDP,'2015']/Pop.loc[ctyGDP,'2015']*1000/birthrate.loc[ctyGDP,'2015']*100,\n",
    "                                'LifeExpectancy':lifespan.loc[ctyGDP, '2015'],'HospitalBeds per 1000':Hospbed.loc[ctyGDP,'2015'],\n",
    "                                'Physicians per 1000':Doc.loc[ctyGDP, '2015']})\n",
    "\n",
    "top10_ctyGDP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [],
   "source": [
    "# modify dataframe to draw a line chart\n",
    "ctyGDP_top10 = PerGDP\n",
    "ctyGDP_top10 = ctyGDP_top10.loc[ctyGDP, years]\n",
    "ctyGDP_top10 = ctyGDP_top10.stack().unstack(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw a line chart of top 10 countries of current health expenditure per GDP \n",
    "PerGDP_plot = ctyGDP_top10.plot.line(\n",
    "                        figsize=(12,10),\n",
    "                        title='Top 10 Countries of Current Health Expenditure per GDP')\n",
    "PerGDP_plot.set_xlabel('2008-2015')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Compare the health spending of these ten countries in bar chart\n",
    "ctyGDP_top10 = PerGDP\n",
    "ctyGDP_top10 = ctyGDP_top10.loc[ctyGDP, years]\n",
    "PerGDP_bar = ctyGDP_top10.sort_values(by='2015', ascending=False)\n",
    "pd.Series(PerGDP_bar['2015']).plot(kind='barh',figsize=(10,6), title=' Current Health Expenditure per GDP in 2015') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Compare the Current Health Expenditure per GDP in 2015\n",
    "plt.figure(figsize=(8,8))\n",
    "sizes = pd.Series(ctyGDP_top10['2015'])\n",
    "labels = ctyGDP\n",
    "explode = (0,0,0,0,0,0,0.1,0.1,0.1,0.1)\n",
    "plt.pie(sizes, startangle=150,explode=explode, autopct='%1.2f%%')\n",
    "plt.legend(labels, bbox_to_anchor=(1, 0.8))\n",
    "plt.title('Current Health Expenditure per GDP in 2015')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "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>HealthSpend per GDP</th>\n",
       "      <th>InfantDeathRate</th>\n",
       "      <th>LifeExpectancy</th>\n",
       "      <th>HospitalBeds per 1000</th>\n",
       "      <th>Physicians per 1000</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sierra Leone</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>9.13</td>\n",
       "      <td>11.33</td>\n",
       "      <td>46.43</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>9.89</td>\n",
       "      <td>10.99</td>\n",
       "      <td>47.35</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>9.22</td>\n",
       "      <td>10.63</td>\n",
       "      <td>48.22</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>10.55</td>\n",
       "      <td>10.23</td>\n",
       "      <td>49.03</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>8.90</td>\n",
       "      <td>9.83</td>\n",
       "      <td>49.76</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>11.57</td>\n",
       "      <td>9.43</td>\n",
       "      <td>50.40</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>19.73</td>\n",
       "      <td>9.04</td>\n",
       "      <td>50.95</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>18.32</td>\n",
       "      <td>8.67</td>\n",
       "      <td>51.42</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              HealthSpend per GDP  InfantDeathRate  LifeExpectancy  \\\n",
       "Sierra Leone                                                         \n",
       "2008                         9.13            11.33           46.43   \n",
       "2009                         9.89            10.99           47.35   \n",
       "2010                         9.22            10.63           48.22   \n",
       "2011                        10.55            10.23           49.03   \n",
       "2012                         8.90             9.83           49.76   \n",
       "2013                        11.57             9.43           50.40   \n",
       "2014                        19.73             9.04           50.95   \n",
       "2015                        18.32             8.67           51.42   \n",
       "\n",
       "              HospitalBeds per 1000  Physicians per 1000  \n",
       "Sierra Leone                                              \n",
       "2008                            nan                 0.02  \n",
       "2009                            nan                  nan  \n",
       "2010                            nan                 0.02  \n",
       "2011                            nan                  nan  \n",
       "2012                            nan                  nan  \n",
       "2013                            nan                  nan  \n",
       "2014                            nan                  nan  \n",
       "2015                            nan                  nan  "
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SLE = pd.DataFrame({'HealthSpend per GDP':PerGDP.loc['Sierra Leone',:],\n",
    "                    'InfantDeathRate':infantdeath.loc['Sierra Leone',:]/Pop.loc['Sierra Leone',:]*1000/birthrate.loc['Sierra Leone',:]*100,\n",
    "                    'LifeExpectancy':lifespan.loc['Sierra Leone',:],'HospitalBeds per 1000':Hospbed.loc['Sierra Leone',:],\n",
    "                    'Physicians per 1000':Doc.loc['Sierra Leone',:]})\n",
    "SLE.index.name = 'Sierra Leone'\n",
    "SLE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LiIg4TGEsIiLiMIWxiIiIwxTGIiIiDlMYi4iIOExhLCIi4jCFsYiIiMPaHcbGmHBjzDpjzMu+z8ONMauNMVuNMcuNMa6u66aIiEjf1ZHK+Fpgc9DnO4F7rbUjgWLgJ53ZMRERkf6iXWFsjMkETgX+4vtsgBOBf/iaPA6c1RUdFBER6evaWxnfB/wKaPR9TgFKrLX1vs+7gcGd3DcREZF+oc0wNsacBuRZa9cGzw7R1Lay/OXGmDXGmDX5+fmH2E0REZG+qz2V8bHAGcaYHcDTeIen7wMSjTERvjaZwJ5QC1trH7HWTrXWTk1LS+uELouIiPQtbYaxtfZGa22mtXYY8APgbWvtAmAlcJ6v2ULgxS7rpYiISB92ONcZXw/8pzFmG95jyI92TpdERET6l4i2mxxgrX0HeMc3/TUwvfO7JCIi0r/oDlwiIiIOUxiLiIg4TGEsIiLiMIWxiIiIwxTGIiIiDlMYi4iIOExhLCIi4jCFsYiIiMMUxiIiIg5TGIuIiDhMYSwiIuIwhbGIiIjDFMYiIiIOUxiLiIg4TGEsIiLiMIWxiIiIwxTGIiIiDlMYi4iIOExhLCIi4jCFsYiIiMMUxiIiIg5TGIuIiDhMYSwiIuIwhbGIiIjDFMYiIiIOUxiLiIg4TGEsIiLiMIWxiIiIwxTGIiIiDlMYi4iIOExhLCIi4jCFsYiIiMMUxiIiIg5TGIuIiDhMYSwiIuIwhbGIiIjDFMYiIiIOUxiLiIg4TGEsIiLiMIWxiIiIwyKc7oCISE9RV1fH7t27qa6udror0stER0eTmZlJZGTkIS2vMBYR8dm9ezdxcXEMGzYMY4zT3ZFewlpLYWEhu3fvZvjw4Ye0Dg1Ti4j4VFdXk5KSoiCWDjHGkJKSclgjKgpjEZEgCmI5FIf7e6MwFhHpQTweT5PPS5cu5aqrrjqkdb3zzjucdtppgekPPvgg8N0ll1zCP/7xjxbLNDY2cs011zB+/HgmTJjAtGnT+Oabbw5p++3VWl86W25uLj/84Q858sgjmTJlCscccwwrVqwAvD+fhIQEJk2axOjRozn++ON5+eWXA8v+7ne/Y/DgweTk5DB+/HheeumlTu2bjhmLiPQD77zzDh6Ph5kzZx603fLly9mzZw/r168nLCyM3bt3Exsb20297Dz19fVERByIOGstZ511FgsXLuTJJ58EYOfOnU1C9bjjjgsE8GeffcZZZ51FTEwMc+fOBWDx4sVcd911bN68meOOO468vDzCwjqnplVlLCLSS+Tn53Puuecybdo0pk2bxvvvvw/Axx9/zMyZM5k0aRIzZ85ky5YtTZbbsWMHDz/8MPfeey85OTm8++67AKxatYqZM2dy5JFHBirTvXv3MnDgwEDIZGZmkpSUBHir9l/+8pdMnjyZuXPnkp+fD8D27ds5+eSTmTJlCscddxxffvkl4K14r7nmmhbbsNZy1VVXMW7cOE499VTy8vJC7u/s2bP5xS9+wcyZMxk/fjwff/wxABUVFVx66aVMmzaNSZMm8eKLLwLeUYTzzz+f008/nXnz5jVZ19tvv43L5WLRokWBeUOHDuXqq68Oue2cnBx+85vf8OCDD7b4buzYsURERFBQUBBy2UOhylhEJIRb/7mJL/aUduo6xw2K57enZx20TVVVFTk5OYHPRUVFnHHGGQBce+21LF68mFmzZrFr1y7mz5/P5s2bGTNmDKtWrSIiIoI333yTX//61zz33HOBdQwbNoxFixbh8Xi47rrrAHj00UfZu3cv7733Hl9++SVnnHEG5513HhdccAGzZs3i3XffZe7cuVx00UVMmjQJ8Ibg5MmT+d///V9+//vfc+utt/Lggw9y+eWX8/DDDzNy5EhWr17Nz3/+c95++22AkNtYsWIFW7ZsYcOGDeTm5jJu3DguvfTSkD+PiooKPvjgA1atWsWll17Kxo0buf322znxxBN57LHHKCkpYfr06Xzve98D4MMPP2T9+vUkJyc3Wc+mTZuYPHlyR/5zMXnyZO66664W81evXk1YWBhpaWkdWt/BKIxFRHqQmJgYPvvss8DnpUuXsmbNGgDefPNNvvjii8B3paWllJWVsX//fhYuXMjWrVsxxlBXV9eubZ111lmEhYUxbtw4cnNzAW8lvGXLFt5++23efvtt5s6dy7PPPsvcuXMJCwvj+9//PgAXXXQR55xzDuXl5XzwwQecf/75gfXW1NQcdBurVq3iwgsvJDw8nEGDBnHiiSe22scLL7wQgOOPP57S0lJKSkp4/fXXeemll7j77rsB71nwu3btAuCkk05qEcShXHnllbz33nu4XC4++eSTkG2stU0+33vvvfz9738nLi6O5cuXd+rJfgpjEZEQ2qpgndDY2MiHH35ITExMk/lXX301c+bMYcWKFezYsYPZs2e3a31RUVGB6eDgiYqK4pRTTuGUU04hIyODF154IXDcNJgxhsbGRhITE5v8AdGebbQ3yJq3M8ZgreW5555j9OjRTb5bvXp1q8e3s7KymowWPPTQQxQUFDB16tRWt71u3TrGjh0b+Ow/ZtwVdMxYRKSXmDdvXpNjmP4A3L9/P4MHDwa8lXQocXFxlJWVtbmNTz/9lD179gDe8F+/fj1Dhw4NfPYf933yySeZNWsW8fHxDB8+nGeffRbwBu7nn39+0G0cf/zxPP300zQ0NLB3715WrlzZatvly5cD8N5775GQkEBCQgLz58/nT3/6UyDc161b1+Z+nXjiiVRXV/PnP/85MK+ysrLV9uvXr+e2227jyiuvbHPdnUFhLCLSSzzwwAOsWbOG7Oxsxo0bx8MPPwzAr371K2688UaOPfZYGhoaQi57+umns2LFiiYncIWSl5fH6aefzvjx48nOziYiIiJwaVVsbCybNm1iypQpvP322/zmN78BYNmyZTz66KNMnDiRrKyswAlVrTn77LMZOXIkEyZM4IorruCEE05otW1SUhIzZ85k0aJFPProowDccsst1NXVkZ2dzfjx47nlllsOuj3wVtQvvPAC//73vxk+fDjTp09n4cKF3HnnnYE27777buDSpiuvvJIHHngg5IhAVzDNx8S70tSpU63/2IeISE+zefPmJsOS0pTH46G8vLzbtjd79mzuvvvugw4l9yShfn+MMWuttW3ugCpjERERh+kELhERaZfurIrBe6OS/kKVsYiIiMMUxiIiIg5TGIuIiDhMYSwiIuIwhbGISA/S/BGKobz77rtkZWWRk5NDVVVVh7exdOnSwI09wHsJ0ejRo8nOzmbMmDFcddVVlJSUdHi9fvfdd1+TG2q0tk/BjyUcN24cTz31VJvrfuGFF5rcErSvUBiLiPQyy5Yt47rrruOzzz5rcWvM9mgexv51rl+/nvXr1xMVFcWZZ555yP1rHsYHs3jxYj777DNefPFFfvazn7V5X+1+G8bGmGhjzMfGmM+NMZuMMbf65g83xqw2xmw1xiw3xri6vrsiIv3DO++8w+zZsznvvPMYM2YMCxYswFrLX/7yF5555hl+//vfs2DBAsrLy5k7dy6TJ09mwoQJgbtf7dixg7Fjx3LZZZeRlZXFvHnzqKqq4h//+Adr1qxhwYIFIStrl8vFH//4R3bt2hW4reXf//53pk+fTk5ODj/72c8Cd/m64oormDp1KllZWfz2t78FvHcJ27NnD3PmzGHOnDmB9d50001MnDiRGTNmBB4YEWzkyJG43W6Ki4sBWLJkCdOmTWPixImce+65VFZW8sEHH/DSSy/xX//1X+Tk5LB9+/ZWH9/Y27TnOuMa4ERrbbkxJhJ4zxjzCvCfwL3W2qeNMQ8DPwH+fLAViYj0Gq/cAPs2dO46B0yAU+5od/N169axadMmBg0axLHHHsv777/PT3/6U9577z1OO+00zjvvPOrr61mxYgXx8fEUFBQwY8aMwCMXt27dylNPPcWSJUu44IILeO6557jooot48MEHD3pnq/DwcCZOnMiXX36Jy+Vi+fLlvP/++0RGRvLzn/+cZcuWcfHFF3P77beTnJxMQ0MDc+fOZf369VxzzTXcc889rFy5ktTUVMD7GMQZM2Zw++2386tf/YolS5Zw8803N9nmp59+ysiRI0lPTwfgnHPO4bLLLgPg5ptv5tFHH+Xqq6/mjDPOCOw7wNy5c1t9fGNv0mYYW+/9Mv1Xekf6XhY4Efihb/7jwO9QGIuIdJrp06eTmZkJeB92v2PHDmbNmtWkjbWWX//616xatYqwsDC+++67QOU5fPjwwLORp0yZwo4dO9q9bf+tkt966y3Wrl3LtGnTAO/zlv2B+cwzz/DII49QX1/P3r17+eKLL8jOzm6xLpfLxWmnnRboxxtvvBH47t5772XJkiV8/fXXvPrqq4H5Gzdu5Oabb6akpITy8nLmz5/fYr1tPb6xN2nXHbiMMeHAWmAE8BCwHSix1tb7muwGBrey7OXA5QBDhgw53P6KiHSPDlSwXSX48YPh4eHU19e3aLNs2TLy8/NZu3YtkZGRDBs2jOrq6pDLt/dkr4aGBjZs2MDYsWPJy8tj4cKF/OEPf2jS5ptvvuHuu+/mk08+ISkpiUsuuSSw3eYiIyMDj0Jsvh/+xxI+//zzXHzxxWzfvp3o6GguueQSXnjhBSZOnMjSpUtD3o2rrcc39ibtOoHLWttgrc0BMoHpQKg7qYd84oS19hFr7VRr7dS0tLRD76mIiLSwf/9+0tPTiYyMZOXKlezcubPNZQ72OMW6ujpuvPFGjjjiCLKzs5k7dy7/+Mc/yMvLA6CoqIidO3dSWlpKbGwsCQkJ5Obm8sorr7Rr/a0555xzmDp1Ko8//jgAZWVlDBw4kLq6OpYtWxZy3Yfy+MaeqkNnU1trS4B3gBlAojHGX1lnAntaW05ERLrGggULWLNmDVOnTmXZsmWMGTOmzWUuueQSFi1a1OQErgULFgQeSVhRURE4EWzcuHH893//N/PmzSM7O5uTTjqJvXv3MnHiRCZNmkRWVhaXXnopxx57bGD9l19+OaecckqTE7ja4ze/+Q333HMPjY2N3HbbbRx99NGcdNJJTfbpBz/4AXfddReTJk1i+/btHX58Y0/V5iMUjTFpQJ21tsQYEwO8DtwJLASeCzqBa7219v8Oti49QlFEejI9QlEOx+E8QrE9x4wHAo/7jhuHAc9Ya182xnwBPG2M+W9gHfBox7suIiIi7Tmbej0wKcT8r/EePxYREZHDoDtwiYiIOExhLCIi4jCFsYiIiMMUxiIiIg5TGIuI9CChHjf48MMP88QTTwDw5ZdfkpOTE7jOtjXDhg1jwoQJ5OTkkJOTwzXXXNNlfQ72P//zP92ynb6mzeuMO5OuMxaRnqwnXGfs8XgoLy9v9fs77riDqqoqbr311oOuZ9iwYaxZsybwsIbu0lb/+7LDuc5YlbGISA/3u9/9jrvvvpt//etf3HffffzlL38J3N2qtccbhlJfX8+0adMC93m+8cYbuemmmwBveF9//fVMnz6d6dOns23bNgDy8/M599xzmTZtGtOmTeP9998HvA9p+PGPf8yECRPIzs7mueee44YbbqCqqoqcnBwWLFgAwFlnncWUKVPIysrikUceCfTF4/GEfKxibm4uZ599NhMnTmTixIl88MEH3HLLLdx///2BZW+66SYeeOCBTvrp9gztelCEiEh/c+fHd/JlUec+G3dM8hiun379IS//H//xHyxatAiPx8N1113H5s2bW328IcCcOXMIDw8HYOHChSxevJilS5dy3nnn8cADD/Dqq6+yevXqwPrj4+P5+OOPeeKJJ/jFL37Byy+/zLXXXsvixYuZNWsWu3btYv78+WzevJnbbruNhIQENmzwPmayuLiYc889lwcffLDJgxsee+wxkpOTqaqqYtq0aZx77rmkpKS0+ljFa665hhNOOIEVK1bQ0NBAeXk5gwYN4pxzzuHaa6+lsbGRp59+mo8//viQf449kcJYRKSXOtjjDYEmzxT2y8rK4kc/+hGnn346H374IS6XK/DdhRdeGHhfvHgxAG+++SZffPFFoE1paSllZWW8+eabPP3004H5SUlJIfv4wAMPsGLFCgC+/fZbtm7dSkpKSquPVXz77bcDx8fDw8NJSEggISGBlJQU1q1bR273X2WnAAAcp0lEQVRuLpMmTSIlJeUQfmI9l8JYRCSEw6lgu4u1NuTjDduyYcMGEhMTA0PDfv7HHAZPNzY28uGHHxITE9Ni28HtQ3nnnXd48803+fDDD3G73cyePTvwmMWDPVYxlJ/+9KcsXbqUffv2cemll7ZvR3sRHTMWEemlWnu84cE8//zzFBYWsmrVKq655hpKSkoC3y1fvjzwfswxxwAwb948HnzwwUAb/xB08/nFxcWAN2Tr6uoA7+Mdk5KScLvdfPnll3z00Uft2qc///nPgPe5yqWlpQCcffbZvPrqq3zyySfMnz+/zfX0NgpjEZEepLKykszMzMDrnnvuabVta4839JszZ07g0qaLL76YgoICbrjhBh599FFGjRrFVVddxbXXXhtoX1NTw9FHH83999/PvffeC3iHmdesWUN2djbjxo3j4YcfBuDmm2+muLiY8ePHM3HiRFauXAl4H5+YnZ3NggULOPnkk6mvryc7O5tbbrmFGTNmtLn/999/PytXrmTChAlMmTKFTZs2AeByuZgzZw4XXHBB4Dh4X6JLm0REfHrCpU1OcepSqPZqbGxk8uTJPPvss4wcOdLp7oSkS5tERKTP+uKLLxgxYgRz587tsUF8uHQCl4iIsGPHDqe70Kpx48bx9ddfO92NLqXKWERExGEKYxGRIN15Ho30HYf7e6MwFhHxiY6OprCwUIEsHWKtpbCwkOjo6ENeh44Zi4j4ZGZmsnv3bvLz853uivQy0dHRZGZmHvLyCmMREZ/IyEiGDx/udDekH9IwtYiIiMMUxiIiIg5TGIuIiDhMYSwiIuIwhbGIiIjDFMYiIiIOUxiLiIg4TGEsIiLiMIWxiIiIwxTGIiIiDlMYi4iIOExhLCIi4jCFsYiIiMMUxiIiIg5TGIuIiDhMYSwiIuIwhbGIiIjDFMYiIiIOUxiLiIg4TGEsIiLiMIWxiIiIwxTGIiIiDlMYi4iIOExhLCIi4jCFsYiIiMMUxiIiIg5TGIuIiDhMYSwiIuIwhbGIiIjDFMYiIiIOUxiLiIg4TGEsIiLiMIWxiIiIwxTGIiIiDlMYi4iIOExhLCIi4jCFsYiIiMMUxiIiIg5TGIuIiDhMYSwiIuKwNsPYGHOEMWalMWazMWaTMeZa3/xkY8wbxpitvvekru+uiIhI39Oeyrge+KW1diwwA7jSGDMOuAF4y1o7EnjL91lEREQ6qM0wttbutdZ+6psuAzYDg4Ezgcd9zR4HzuqqToqIiPRlHTpmbIwZBkwCVgMZ1tq94A1sIL2VZS43xqwxxqzJz88/vN6KiIj0Qe0OY2OMB3gO+IW1trS9y1lrH7HWTrXWTk1LSzuUPoqIiIM+3VXMs2u+5bNvS6ioqXe6O31SRHsaGWMi8QbxMmvt877ZucaYgdbavcaYgUBeV3VSRESc8dLne1i8/DMaGm1g3uDEGEYPiGNkhodR6XGMyohjRLqHGFe4gz3t3doMY2OMAR4FNltr7wn66iVgIXCH7/3FLumhiIg44vlPd3Pds58zdVgyt505nm8KKtiaW8ZXeeVszS3jva0F1DY0AmAMHJHkZlRGHKMyPIzK8Ib1UWkeoiMV0m0x1tqDNzBmFvAusAFo9M3+Nd7jxs8AQ4BdwPnW2qKDrWvq1Kl2zZo1h9tnERHpYs988i3XP7+emUelsOTiqbhdLWu3+oZGdhRW8lVuGV/llrE1t5yvcsv4pqCCel8lHWZgaEpsUEB7w/rIVA+uiL5/qwtjzFpr7dQ227UVxp1JYSwi0vP9/aOd3PzCRk4Ylcb/+9GUDle2tfWN7CisYMu+Mm8lnVvOV3ll7CysDAx3h4cZhqW4vcPdvqHuURkehqXGEhned0K6vWHcrmPGIiLSP/z1/W+49Z9f8L2x6Ty0YDJRER0fYnZFhPnCNa7J/Jr6Br7OrwhU0l/llvPFnlJe2bgPf10YGW4YnhobWH5UhoeRGXEMTXYT0YdCujmFsYiIALBk1dfc/q/NzM/K4E8XTu70YeSoiHDGDoxn7MD4JvOr6xrYllfO1rwytuzzHo/+fHcJL6/fG2jjigjjSF9Ie6tp77D3EcluwsNMp/bTCQpjERHhoZXbuOu1LZyaPZD7vp/TrUPF0ZHhjB+cwPjBCU3mV9bWsy2v3DvM7aum1+4s5qXP9wTaREWEMcIXzMEnjw1OjCGsF4W0wlhEpB+z1nLfm1u5/62tnD1pMHedl91jhoPdrgiyMxPJzkxsMr+8pp6tvhPGtvhC+sPthaxY913QsuGMSPcwMj2O0QM8vhPH4hiUEI33IqGeRWEsItJPWWu5+/UtPLRyO+dPyeSOc7N7xZCvJyqCSUOSmDSk6fOJ9lfVsS3Peyx6y74ytuaVsWprPs99urvJst5KOriajiMjPsrRkFYYi4j0Q9Za/vDKlzyy6msunD6E288a36uGdUNJiIlkytBkpgxNbjK/pLI2MNS9NbeMLbllvLU5j2fWHAjpuOgIRmXE8b2xGVwx+6ju7rrCWESkv7HWcus/v2DpBztYeMxQfndGVo8cuu0siW4X04cnM31405AuLK/hq1zviWNf5Zbx1b5y8sqqHemjwlhEpB9pbLTc8uJGlq3exU9mDefmU8f26SA+mBRPFMd4ojjmqBSnu6IwFhHpLxoaLTc+v55n1uzmitlH8av5o/ttEPc0CmMRkX6godHyX89+zvPrvuOauSNZ/L2RCuIeRGEsItLH1TU08p/PfM4/P9/DL08axdVzRzrdJWlGYSwi0ofV1jdy7dPreGXjPm44ZQyLTuj+M4WlbQpjEZE+qqa+gSuXrePNzbnccto4fjJruNNdklYojEVE+qDqugYW/X0t72zJ57Yzs/jRMcOc7pIchMJYRKSPqapt4PK/reG9bQXccc4EfjB9iNNdkjYojEVE+pCKmnp+8vgnrP6miLvOm8h5UzKd7pK0g8JYRKSPKKuu48d//YR135Zw3/dzODNnsNNdknZSGIuI9AH7q+q45K8fs2H3fh74wSROzR7odJekAxTGIiK9XEllLRc/9jGb95by0ILJzM8a4HSXpIMUxiIivVhRRS0X/WU12/LK+X8/msKJYzKc7pIcAoWxiEgvlV9Ww0V/Wc2OwgqWLJzKCaPSnO6SHCKFsYhIL5RXWs2FSz5iT0k1f71kGjNHpDrdJTkMCmMRkV5m7/4qfrhkNXml1Tx+6fQWz+mV3kdhLCLSi+wuruSHS1ZTXFHLEz+ZzpShCuK+QGEsItJL7Cqs5MIlH1FWXcfffno0OUckOt0l6SQKYxGRXuCbggoufOQjqusbePKyGYwfnOB0l6QTKYxFRHq4bXll/HDJahoaLU9dNoOxA+Od7pJ0MoWxiEgPtmVfGQv+8hFgePryGYzMiHO6S9IFwpzugIiIhLZpz35+8MiHhIcZlv9MQdyXqTIWEemB1u8u4UePfkysK5wnL5vBsNRYp7skXUhhLCLSw3y6q5iFj35MgjuSpy6bwRHJbqe7JF1MYSwi0oN8sqOIH//1E1I8Lp66bAaDEmOc7pJ0Ax0zFhHpIT7cXsjCxz4mPT6K5ZcfoyDuRxTGIiI9wLtb8/nx0o8ZnBjD05fPYEBCtNNdkm6kYWoREYet3JLHz/62liNTY1n206NJ8UQ53SXpZgpjEREHvfFFLlcu+5RRAzz87dKjSYp1Od0lcYDCWETEIa9s2MvVT60ja3ACT1w6nYSYSKe7JA7RMWMREQe89PkernpqHROPSORvP1EQ93eqjEVEutnzn+7mumc/Z+qwZB67ZBqeKP1T3N/pN0BEpBs988m3XP/8emYelcKSi6fidumfYVEYi4h0m2Wrd3LTio0cPyqNR340hejIcKe7JD2EjhmLiHSDpe9/w00rNjJ3TLqCWFpQZSwi0sWWrPqa2/+1mflZGfzpwsm4IlQHSVMKYxGRLvTQym3c9doWTs0eyH3fzyEyXEEsLSmMRUS6gLWW+9/ayn1vbuWsnEHcff5EIhTE0gqFsYhIJ7PWcvfrW3ho5XbOm5LJnedmEx5mnO6W9GAKYxGRTmSt5Q+vfMkjq77mwulHcPtZEwhTEEsbFMYiIp3EWsut//yCpR/s4OJjhvK707MUxNIuCmMRkU7Q2Gj5zUsb+ftHu/jJrOHcfOpYjFEQS/sojEVEDlNDo+XXz29g+ZpvWXTCUVx/8mgFsXSIwlhE5DA0NFr+69nPeX7dd1xz4ggWnzRKQSwdpjAWETlE9Q2NLH7mc/75+R5+edIorp470ukuSS+lMBYR6aA9JVW8vmkfKz7bw+fflnDDKWNYdMJRTndLerHeG8bFO6G2AiJjINJ94D289+6SiPRc2/PLeW3TPl7buI/Pd+8HYGS6hz+em80F045wuHfS2/Xe5Fp5O6xf3nJ+uKtZQMf63n3zXO6WAR4ZYp4reH7wehT4Iv2BtZZNe0p5bdM+Xt24j6155QBMzEzgVyePZn7WAI5K8zjcS+krem+qzLgCRp8CdVVQV+l7r/JWy83n1fnmVRX52lQe+L6hpuPbDotsf7C7Wgn7FsHfvMKP7PyfmYgcVEOjZe3OYl7duI/XNu3ju5IqwgwcPTyFBUcPYV7WAAYlxjjdTemDem8YD5rkfR2uxoag8K48MF1b2SzUm33fWjt/4AfPq6/ueL/8ge+vzF2xvuCODZp2eyt2f+C3mB/brI3vPSIadLanCAC19Y18sL2A1zbt440vcikor8UVHsZxI1O5du5Ivjcug+RYl9PdlD6u94ZxZwkLhyiP99VVAoEfHOqVTefVhpjnf/m/q62A2nIoz/NW+7W+eXWVgG1/f0zYgeq81eAOFe7++Z7W20bGKOilx6usreffW/J5ddM+3t6cR1lNPbGucOaMSefk8QOYPTodT5T+eZTuo9+27tDVgW9tUKhXBAV4RdP32oqgea20rSjwhX7FgTYdCXpM02PugeA+WLgHVf1RcQeqf1fwtAfC9MQbOXQllbW8tTmPVzftY9VX+dTUN5Ic6+KUCQM4efwAZh6VSnRkuNPdlH5KYdwXGOMNNpcbYlM7d93WeofZQ4V7oFqvOMgfAkHzK4u8lX1wG9vY/r4Ehuk9vles9w+c5vMOFupRQe0i3V1axTc2Wr4rqWJ7fjnb8srZnl/O9rwKALIGxzN+UAITMhM4Ks2jJ/p0kdzSal7ftI/XNuXy4deFNDRaBiZEc+H0IczPGsC0YUl6rKH0CG2GsTHmMeA0IM9aO943LxlYDgwDdgAXWGuLu66b4hhjDhy3JqVz120t1Nc0DXX/UHzg3TddU95svu+9sghKvvV9LvO2sw3t3bkOhnrzPwK807XhsewqN2wrsXxVUMv2ggq25ZXzdX4FVXUH+pLkjmREuoeGRstTH++ius77h0hMZDhjB8YxYXACWYMTmDA4gZHpHoXEIdpRUOG9BGnTPj7dVQLAkWmx/Oz4I5mfNYDszATdIUt6HGPtwYcgjTHHA+XAE0Fh/EegyFp7hzHmBiDJWnt9WxubOnWqXbNmTSd0W6QV1kJDbYjwbiPUa8qD/hgoC2rr+76dQ/V1NpwqE01duJvGyFjCojxExsQRHZuAyx0XCPXGyFgK6yL5tjyMHWWGrSWWLUWNFNa5qCCa+nA3gzLSGJGZwbjBKYwfnMCojDhcEQro5qy1bN5bFgjgL/eVATBhcALzszI4efwARqTHOdxL6a+MMWuttVPbbNdWGPtWNgx4OSiMtwCzrbV7jTEDgXestaPbWo/CWHo6ay35ZTVsyytnW3452/PK2ZZXxu68QirKSnGbajxUER9ew/B4ODLeckSsZZC7gYyoepJdtUTWV4X4A6DZHwV1le3uU42NoJJoKoimISIWExVLZEw8bk8CnrgEwqPjgir3ZkPxwe/+6j8yttdfK9/YaFn3bTGvbcrl1Y372FVUiTEwbVgy87MGMD8rg8wkt9PdFGl3GB/q/5EZ1tq9AL5ATj/E9UgrGhotxZW15JfVUN9gSYqNJDnWhdvVu/8R7SkaGi3fFlUGQndb3oHjumXV9YF2nqgIjkqLZcrITEakexiR5uGodA9Dkt1EHs4wcmODN5BDBXVQpd5YU05VaQklxUWUl+6nqnI/9ZVlRJUX4s7/Do+pJj6sBjfVRNra9m8/Ijp0UIc6ca6174KH8CNju/wEu7qGRj76upBXN3ovQcorqyEy3HDsiFR+Pvsovjcug1RPVJf2QaSrdPm/7MaYy4HLAYYMGdLVm+vRGn0BW1DuDdmCcu8rv6yGfN97QXktBeU1FJbX0Bhi0CI6Moxkt4tkj4skt4uUWBdJsa7AvGS3i+TYA69Et6tfnxxUXdcQdAJVha/SLeebggpqGw6cPJYWF8WINA9n5gxiRJqHEelxjEj3kBEf1TXHF8PCvWEWdfDh0zAg0ffys9bybVEVG/fsZ8N3+9noe5VWVRNLNXFhNYxNCWN8ajhjksMYkQhHeCxRDZUth+KDh+6rS6F0b9M/DBo6EPCBS+SaV+fNA761Kr7ZcflIN1X1llVb83lt4z7e3JxLaXU9blc4s0enMT9rAHPGpBMfrRvkSO+nYerD1Nho2V9VR355DQXNQtUfuP73wopaGkIkrCsijDRPFKkeF2lxUaR6ogLvqZ4oIsINJZW1FFbUUlxx4L2oopaiylqKK+oor6kP0Tvv+VcJMd6qunlQ+19Jzb5zu8J73QkuJZW1geo2MMScX87u4ir8v+JhBo5IdvvC1lvhHpXmrXYT3L37H3RrLXv2V7Nhty+c93jfC8q9YRpm4Kg0D+MHJzDed5LYuEHxbV9LW18b+hj7wY6/t/guqPLv0Al2UGGjqCSaKhNDeHQcbk888fGJhEd7Qgd8VPPh+ZYBr0vkpDt19THju4DCoBO4kq21v2prPb0ljK31BmxBeQ15zYLVH7j+kC0sr6U+RMBGhhtvwPrD1RNFapyr6Tzfe3x0xGGHX3VdAyWVdRRW1FBc4X+vpaiyjqIm8+q8YV4Z+g8DgKiIsKZh3UqIB6rvmMhuOfPXHzjb8nzHcv0Vb145hRUHKrioiDCOTPNwVFqsd2jZ9xqWEtuvriO11pJbWtOket7w3X7yyry3gDUGhqfGei+x8oV01uD4rq00/SfY1VZAzYHqvGR/Meu//o4vdu5hb14BUY1VpEfVMzYlnKMSLOlR9YTVVXZKwBMZ22zovZUz6UOeTa+Al47ptDA2xjwFzAZSgVzgt8ALwDPAEGAXcL61tqitjTkZxtZaSqvqmwRp8HvzoeO6htABmxLrD1FXk+o1uKJN80QRH3P4AduVrLWUVtd7q2vfK1B1V9Y2me//rqyV6hu81XdgyLzZsHlS7IHhdP977EGq77qGRnYWVjSpdLfnV7A9v5zK2oYm2/Qfx/VWurGMSItjcFJMvx6ab0teabWvci5lw3f72fTdfvbsP3DL1mEp7sAlVuMHJTB+cDyJ7s6/HeS3RZWBM6DX7CzGWu+2548fwMlZA5iYmUhYe/47thLwIc+mDwzNt9au4tADPmRohwpxd/va6f70fUKnVsadpbPD2FpLWU29N0T9FWvzIeKgecHHCP0iwgwprQSrP3DTfPMSYiJ7dMB2tZp6b/XdPKiLmgyZN50XatQAvEPzwUPjSbEuauoa2JZfzq7CyibLDUqIPjCkHFTppsS6+vV/j85UUF7Dpj2l3up5t3eYe3dxVeD7I5JjfMF8YJi7o/drttayNa888BCGTXtKARg3MJ75Wd67YI3K8PSM/6YhL5Fr5US74FvVtgj44M+VHXswTbgrdGh3KPibTet2td2uz4fxTSs28Oza3dTWtwzY8DBDSqyrabD6hoj94eofKk6MiWzfX9/SYf4/lorKDwR1k+PdzUI8PMwEgtYfvEeleYjVPYIdUVxRy6Y93urZfwx6Z+GBS7IGJUQHgtkf0mlxTc9mbmy0fL67hNc25fLapn18U1CBMTBlSBInjx/AvHEDGJLSjy5Baqhr5QY3rQV40HTI0PdfB99epll4HyzAm31u/sCZ4Hl6+Eyr+nwYP//pbrbsK2sxRJzqO8tYASvS+fZX1bFpj/8YtLeS/rqgIvB9RnxUIJyLK2p5bVMu+0qriQgzHHNUCiePH8BJ4zJIj4t2cC/6mMZGqK9qR7h35I+Acmhs/bBUCyas5f3mg+85778nvcvTjgfUNLuffbirVwd9nw9jEekZyqrr+MJXQfsr6e355URFhHHCqDROHj+AE0dn9Poz1vudJmfS+x8yE+r+9OW0ea/65vek74iwiGZh3dFQP1jQd/3vZFff9ENEBIC46EiOPjKFo488cO/yytp6wozpV2ev9zkRLohIBndy5643UMm3J9QP8lCa6hIo/a7peuqr2t5+sHBXy+r9yNlw0u87d5/bQWEsIp1Od4qTVoWFHRjGJq1z1+2/s11bj45tUb0HzYt05hwG/R8jIiJ9QzvvbNcT6Up1ERERhymMRUREHKYwFhERcZjCWERExGEKYxEREYcpjEVERBymMBYREXGYwlhERMRhCmMRERGHKYxFREQcpjAWERFxmMJYRETEYQpjERERhxlrbfdtzJh8YGcnrjIVKOjE9fVU2s++RfvZt2g/+5bO3s+h1to2nxXZrWHc2Ywxa6y1U53uR1fTfvYt2s++RfvZtzi1nxqmFhERcZjCWERExGG9PYwfcboD3UT72bdoP/sW7Wff4sh+9upjxiIiIn1Bb6+MRUREej2FsYiIiMMUxiIiIg5TGIuIiDhMYSwiIuIwhbGIg4wxRxhjVhpjNhtjNhljrvXNTzbGvGGM2ep7T/LNN8aYB4wx24wx640xk4PW9UffOjb72pgQ2zvJGLPWGLPB935i0HdTfPO3BS9vjDnft95GY8zUoPbDjDFVxpjPfK+Hu/JnJdKXKYxFnFUP/NJaOxaYAVxpjBkH3AC8Za0dCbzl+wxwCjDS97oc+DOAMWYmcCyQDYwHpgEnhNheAXC6tXYCsBD4W9B3f/at07/+k33zNwLnAKtCrG+7tTbH91rU8d0XEVAYizjKWrvXWvupb7oM2AwMBs4EHvc1exw4yzd9JvCE9foISDTGDAQsEA24gCggEsgNsb111to9vo+bgGhjTJRvHfHW2g+t9+YDT/i3aa3dbK3d0tn7LiIHKIxFeghjzDBgErAayLDW7gVvYAPpvmaDgW+DFtsNDLbWfgisBPb6Xq9Zaze3sclzgXXW2hrfenc3X287uj3cGLPOGPNvY8xx7WgvIiFEON0BEQFjjAd4DviFtbY0xOHeQNMQ86wxZgQwFsj0zXvDGHO8tTbU0DLGmCzgTmDewdbbRrf3AkOstYXGmCnAC8aYLGttaRvLiUgzqoxFHGaMicQbxMustc/7Zuf6ho7xvef55u8GjghaPBPYA5wNfGStLbfWlgOvADOMMWcHnWA11be+TGAFcLG1dnvQejNDrLdV1toaa22hb3otsB0Y1fGfgIgojEUc5Dtj+VFgs7X2nqCvXsJ7ghW+9xeD5l/sO6t6BrDfN4y9CzjBGBPhC/cTfOtcEXSC1RpjTCLw/wE3Wmvf92/Mt44yY8wMX58uDtpma31PM8aE+6aPxHvS19eH8/MQ6a/0oAgRBxljZgHvAhuARt/sX+M9bvwMMARv0J5vrS3yBeWDeM90rgR+7AvZcOD/gOPxDi+/aq39zxDbuxm4EdgaNHuetTbPVzkvBWLwVtZXW2utMeZs4E9AGlACfGatnW+MORf4Pd4zwhuA31pr/9lJPxqRfkVhLCIi4jANU4uIiDhMYSwiIuIwhbGIiIjDFMYiIiIOUxiLiIg4TGEsIiLiMIWxiIiIwxTGIiIiDvv/AS1ozd7+R2qAAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "SLE = SLE.ix[:, ['HealthSpend per GDP','InfantDeathRate','LifeExpectancy']]\n",
    "SLE.plot(kind='line', figsize=(8,6), title='Sierra Leone')\n",
    "plt.xlabel('2008-2015')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "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>HealthSpend per GDP</th>\n",
       "      <th>InfantDeathRate</th>\n",
       "      <th>LifeExpectancy</th>\n",
       "      <th>HospitalBeds per 1000</th>\n",
       "      <th>Physicians per 1000</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liberia</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>11.03</td>\n",
       "      <td>7.51</td>\n",
       "      <td>58.17</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>10.59</td>\n",
       "      <td>7.14</td>\n",
       "      <td>58.98</td>\n",
       "      <td>0.70</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>9.98</td>\n",
       "      <td>6.83</td>\n",
       "      <td>59.63</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>10.53</td>\n",
       "      <td>6.59</td>\n",
       "      <td>60.16</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>9.28</td>\n",
       "      <td>6.38</td>\n",
       "      <td>60.62</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>9.17</td>\n",
       "      <td>6.20</td>\n",
       "      <td>61.07</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>14.10</td>\n",
       "      <td>6.02</td>\n",
       "      <td>61.53</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>15.19</td>\n",
       "      <td>5.85</td>\n",
       "      <td>62.01</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         HealthSpend per GDP  InfantDeathRate  LifeExpectancy  \\\n",
       "Liberia                                                         \n",
       "2008                   11.03             7.51           58.17   \n",
       "2009                   10.59             7.14           58.98   \n",
       "2010                    9.98             6.83           59.63   \n",
       "2011                   10.53             6.59           60.16   \n",
       "2012                    9.28             6.38           60.62   \n",
       "2013                    9.17             6.20           61.07   \n",
       "2014                   14.10             6.02           61.53   \n",
       "2015                   15.19             5.85           62.01   \n",
       "\n",
       "         HospitalBeds per 1000  Physicians per 1000  \n",
       "Liberia                                              \n",
       "2008                       nan                 0.01  \n",
       "2009                      0.70                  nan  \n",
       "2010                      0.80                 0.02  \n",
       "2011                       nan                  nan  \n",
       "2012                       nan                  nan  \n",
       "2013                       nan                  nan  \n",
       "2014                       nan                  nan  \n",
       "2015                       nan                  nan  "
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LBR = pd.DataFrame({'HealthSpend per GDP':PerGDP.loc['Liberia',:],\n",
    "                    'InfantDeathRate':infantdeath.loc['Liberia',:]/Pop.loc['Liberia',:]*1000/birthrate.loc['Liberia',:]*100,\n",
    "                    'LifeExpectancy':lifespan.loc['Liberia',:],'HospitalBeds per 1000':Hospbed.loc['Liberia',:],\n",
    "                    'Physicians per 1000':Doc.loc['Liberia',:]})\n",
    "LBR.index.name = 'Liberia'\n",
    "LBR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "LBR = LBR.ix[:, ['HealthSpend per GDP','InfantDeathRate','LifeExpectancy']]\n",
    "LBR.plot(kind='line', figsize=(8,6), title='Liberia')\n",
    "plt.xlabel('2008-2015')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>Growth rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Timor-Leste</th>\n",
       "      <td>1.01</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.65</td>\n",
       "      <td>2.26</td>\n",
       "      <td>3.09</td>\n",
       "      <td>207.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vanuatu</th>\n",
       "      <td>1.31</td>\n",
       "      <td>2.04</td>\n",
       "      <td>2.77</td>\n",
       "      <td>2.26</td>\n",
       "      <td>2.68</td>\n",
       "      <td>5.45</td>\n",
       "      <td>3.62</td>\n",
       "      <td>3.55</td>\n",
       "      <td>170.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Myanmar</th>\n",
       "      <td>1.85</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1.86</td>\n",
       "      <td>1.69</td>\n",
       "      <td>1.95</td>\n",
       "      <td>1.97</td>\n",
       "      <td>4.89</td>\n",
       "      <td>4.95</td>\n",
       "      <td>168.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Armenia</th>\n",
       "      <td>4.35</td>\n",
       "      <td>4.69</td>\n",
       "      <td>5.26</td>\n",
       "      <td>3.78</td>\n",
       "      <td>6.71</td>\n",
       "      <td>8.27</td>\n",
       "      <td>7.04</td>\n",
       "      <td>10.14</td>\n",
       "      <td>133.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kuwait</th>\n",
       "      <td>1.93</td>\n",
       "      <td>3.87</td>\n",
       "      <td>2.76</td>\n",
       "      <td>2.62</td>\n",
       "      <td>2.57</td>\n",
       "      <td>2.59</td>\n",
       "      <td>3.20</td>\n",
       "      <td>4.03</td>\n",
       "      <td>108.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Equatorial Guinea</th>\n",
       "      <td>1.32</td>\n",
       "      <td>1.69</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.73</td>\n",
       "      <td>1.77</td>\n",
       "      <td>2.70</td>\n",
       "      <td>104.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>2.87</td>\n",
       "      <td>4.09</td>\n",
       "      <td>3.49</td>\n",
       "      <td>3.63</td>\n",
       "      <td>3.93</td>\n",
       "      <td>4.39</td>\n",
       "      <td>5.10</td>\n",
       "      <td>5.83</td>\n",
       "      <td>103.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sao Tome and Principe</th>\n",
       "      <td>4.87</td>\n",
       "      <td>7.16</td>\n",
       "      <td>5.33</td>\n",
       "      <td>5.45</td>\n",
       "      <td>7.25</td>\n",
       "      <td>9.08</td>\n",
       "      <td>8.89</td>\n",
       "      <td>9.84</td>\n",
       "      <td>101.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sierra Leone</th>\n",
       "      <td>9.13</td>\n",
       "      <td>9.89</td>\n",
       "      <td>9.22</td>\n",
       "      <td>10.55</td>\n",
       "      <td>8.90</td>\n",
       "      <td>11.57</td>\n",
       "      <td>19.73</td>\n",
       "      <td>18.32</td>\n",
       "      <td>100.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qatar</th>\n",
       "      <td>1.60</td>\n",
       "      <td>2.15</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1.60</td>\n",
       "      <td>1.75</td>\n",
       "      <td>2.08</td>\n",
       "      <td>2.42</td>\n",
       "      <td>3.06</td>\n",
       "      <td>91.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oman</th>\n",
       "      <td>2.01</td>\n",
       "      <td>2.83</td>\n",
       "      <td>2.74</td>\n",
       "      <td>2.55</td>\n",
       "      <td>2.56</td>\n",
       "      <td>2.81</td>\n",
       "      <td>3.50</td>\n",
       "      <td>3.83</td>\n",
       "      <td>90.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bahrain</th>\n",
       "      <td>2.85</td>\n",
       "      <td>3.45</td>\n",
       "      <td>3.29</td>\n",
       "      <td>3.06</td>\n",
       "      <td>4.16</td>\n",
       "      <td>4.26</td>\n",
       "      <td>4.62</td>\n",
       "      <td>5.16</td>\n",
       "      <td>80.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>4.20</td>\n",
       "      <td>5.36</td>\n",
       "      <td>5.12</td>\n",
       "      <td>5.27</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.03</td>\n",
       "      <td>6.54</td>\n",
       "      <td>7.06</td>\n",
       "      <td>67.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Azerbaijan</th>\n",
       "      <td>4.00</td>\n",
       "      <td>5.39</td>\n",
       "      <td>4.91</td>\n",
       "      <td>4.79</td>\n",
       "      <td>5.10</td>\n",
       "      <td>5.36</td>\n",
       "      <td>5.65</td>\n",
       "      <td>6.68</td>\n",
       "      <td>66.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Congo, Rep.</th>\n",
       "      <td>2.19</td>\n",
       "      <td>2.16</td>\n",
       "      <td>2.03</td>\n",
       "      <td>1.90</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.40</td>\n",
       "      <td>2.44</td>\n",
       "      <td>3.43</td>\n",
       "      <td>56.73</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       2008  2009  2010  2011  2012  2013  2014  2015  \\\n",
       "Country Name                                                            \n",
       "Timor-Leste            1.01  1.57  1.34  1.19  1.19  1.65  2.26  3.09   \n",
       "Vanuatu                1.31  2.04  2.77  2.26  2.68  5.45  3.62  3.55   \n",
       "Myanmar                1.85  2.00  1.86  1.69  1.95  1.97  4.89  4.95   \n",
       "Armenia                4.35  4.69  5.26  3.78  6.71  8.27  7.04 10.14   \n",
       "Kuwait                 1.93  3.87  2.76  2.62  2.57  2.59  3.20  4.03   \n",
       "Equatorial Guinea      1.32  1.69  1.53  1.35  1.44  1.73  1.77  2.70   \n",
       "Saudi Arabia           2.87  4.09  3.49  3.63  3.93  4.39  5.10  5.83   \n",
       "Sao Tome and Principe  4.87  7.16  5.33  5.45  7.25  9.08  8.89  9.84   \n",
       "Sierra Leone           9.13  9.89  9.22 10.55  8.90 11.57 19.73 18.32   \n",
       "Qatar                  1.60  2.15  1.79  1.60  1.75  2.08  2.42  3.06   \n",
       "Oman                   2.01  2.83  2.74  2.55  2.56  2.81  3.50  3.83   \n",
       "Bahrain                2.85  3.45  3.29  3.06  4.16  4.26  4.62  5.16   \n",
       "Algeria                4.20  5.36  5.12  5.27  6.00  6.03  6.54  7.06   \n",
       "Azerbaijan             4.00  5.39  4.91  4.79  5.10  5.36  5.65  6.68   \n",
       "Congo, Rep.            2.19  2.16  2.03  1.90  2.00  2.40  2.44  3.43   \n",
       "\n",
       "                       Growth rate  \n",
       "Country Name                        \n",
       "Timor-Leste                 207.57  \n",
       "Vanuatu                     170.43  \n",
       "Myanmar                     168.11  \n",
       "Armenia                     133.30  \n",
       "Kuwait                      108.61  \n",
       "Equatorial Guinea           104.44  \n",
       "Saudi Arabia                103.23  \n",
       "Sao Tome and Principe       101.96  \n",
       "Sierra Leone                100.72  \n",
       "Qatar                        91.17  \n",
       "Oman                         90.23  \n",
       "Bahrain                      80.79  \n",
       "Algeria                      67.94  \n",
       "Azerbaijan                   66.88  \n",
       "Congo, Rep.                  56.73  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a column and calculate the growth rate\n",
    "PerGDP['Growth rate'] = 100*(PerGDP['2015'] - PerGDP['2008'])/PerGDP['2008']\n",
    "# top 15 fastest growth rate\n",
    "PerGDP = PerGDP.sort_values(by='Growth rate', ascending=False)\n",
    "PerGDP.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the top 10 countries of fastest growth rate per GDP\n",
    "ctyGDP_growth = ['Timor-Leste','Vanuatu','Myanmar','Armenia','Kuwait',\n",
    "                 'Equatorial Guinea','Saudi Arabia','Sao Tome and Principe','Sierra Leone','Qatar']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# the line chart of these countries of fastest growth rate per GDP\n",
    "ctyGDP_top10_rate = PerGDP\n",
    "ctyGDP_top10_rate = ctyGDP_top10_rate.loc[ctyGDP_growth, years]\n",
    "ctyGDP_top10_rate = ctyGDP_top10_rate.stack().unstack(0)\n",
    "PerGDP_line_rate = ctyGDP_top10_rate.plot.line(\n",
    "                        figsize=(12,10),\n",
    "                        title='Top 10 Countries of Fastest Current Health Expenditure Growth per Capita')\n",
    "PerGDP_line_rate.set_xlabel('2008-2015')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "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>InfantDeath per 1000</th>\n",
       "      <th>InfantDeathRate</th>\n",
       "      <th>LifeExpectancy</th>\n",
       "      <th>HospitalBeds per 1000</th>\n",
       "      <th>Physicians per 1000</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Timor-Leste</th>\n",
       "      <td>1.53</td>\n",
       "      <td>4.31</td>\n",
       "      <td>68.57</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vanuatu</th>\n",
       "      <td>0.61</td>\n",
       "      <td>2.34</td>\n",
       "      <td>71.92</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Myanmar</th>\n",
       "      <td>0.74</td>\n",
       "      <td>4.10</td>\n",
       "      <td>66.46</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Armenia</th>\n",
       "      <td>0.17</td>\n",
       "      <td>1.26</td>\n",
       "      <td>74.44</td>\n",
       "      <td>4.20</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kuwait</th>\n",
       "      <td>0.12</td>\n",
       "      <td>0.73</td>\n",
       "      <td>74.58</td>\n",
       "      <td>nan</td>\n",
       "      <td>2.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Equatorial Guinea</th>\n",
       "      <td>2.35</td>\n",
       "      <td>6.78</td>\n",
       "      <td>57.43</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>0.14</td>\n",
       "      <td>0.72</td>\n",
       "      <td>74.40</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sao Tome and Principe</th>\n",
       "      <td>0.92</td>\n",
       "      <td>2.68</td>\n",
       "      <td>66.49</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sierra Leone</th>\n",
       "      <td>3.09</td>\n",
       "      <td>8.67</td>\n",
       "      <td>51.42</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qatar</th>\n",
       "      <td>0.07</td>\n",
       "      <td>0.67</td>\n",
       "      <td>78.04</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       InfantDeath per 1000  InfantDeathRate  LifeExpectancy  \\\n",
       "Country Name                                                                   \n",
       "Timor-Leste                            1.53             4.31           68.57   \n",
       "Vanuatu                                0.61             2.34           71.92   \n",
       "Myanmar                                0.74             4.10           66.46   \n",
       "Armenia                                0.17             1.26           74.44   \n",
       "Kuwait                                 0.12             0.73           74.58   \n",
       "Equatorial Guinea                      2.35             6.78           57.43   \n",
       "Saudi Arabia                           0.14             0.72           74.40   \n",
       "Sao Tome and Principe                  0.92             2.68           66.49   \n",
       "Sierra Leone                           3.09             8.67           51.42   \n",
       "Qatar                                  0.07             0.67           78.04   \n",
       "\n",
       "                       HospitalBeds per 1000  Physicians per 1000  \n",
       "Country Name                                                       \n",
       "Timor-Leste                              nan                  nan  \n",
       "Vanuatu                                  nan                  nan  \n",
       "Myanmar                                  nan                  nan  \n",
       "Armenia                                 4.20                  nan  \n",
       "Kuwait                                   nan                 2.61  \n",
       "Equatorial Guinea                        nan                  nan  \n",
       "Saudi Arabia                             nan                  nan  \n",
       "Sao Tome and Principe                    nan                  nan  \n",
       "Sierra Leone                             nan                  nan  \n",
       "Qatar                                    nan                  nan  "
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a dataframe of top 10 countries about their infant death, life expectancy, hospital beds and physicians\n",
    "top10_ctyGDP_growth = pd.DataFrame({'InfantDeath per 1000':infantdeath.loc[ctyGDP_growth,'2015']/Pop.loc[ctyGDP_growth,'2015']*1000,\n",
    "                                'InfantDeathRate':infantdeath.loc[ctyGDP_growth,'2015']/Pop.loc[ctyGDP_growth,'2015']*1000/birthrate.loc[ctyGDP_growth,'2015']*100,\n",
    "                                'LifeExpectancy':lifespan.loc[ctyGDP_growth, '2015'],'HospitalBeds per 1000':Hospbed.loc[ctyGDP_growth,'2015'],\n",
    "                                'Physicians per 1000':Doc.loc[ctyGDP_growth, '2015']})\n",
    "\n",
    "top10_ctyGDP_growth"
   ]
  }
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