{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Quantitative comparisons and statistical visualizations\n", "> Visualizations can be used to compare data in a quantitative manner. This chapter explains several methods for quantitative visualizations. This is the Summary of lecture \"Introduction to Data Visualization with Matplotlib\", via datacamp.\n", "\n", "- toc: true \n", "- badges: true\n", "- comments: true\n", "- author: Chanseok Kang\n", "- categories: [Python, Datacamp, Visualization]\n", "- image: images/medals_country.png" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "\n", "plt.rcParams['figure.figsize'] = (10, 5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Quantitative comparisons: bar-charts\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Bar chart\n", "Bar charts visualize data that is organized according to categories as a series of bars, where the height of each bar represents the values of the data in this category.\n", "\n", "For example, in this exercise, you will visualize the number of gold medals won by each country in the provided `medals` DataFrame. The DataFrame contains the countries as the index, and a column called \"Gold\" that contains the number of gold medals won by each country, according to their rows." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
BronzeGoldSilver
United States6713752
Germany674743
Great Britain266455
Russia355028
China354430
France212055
Australia252334
Italy24838
Canada6144
Japan341713
\n", "
" ], "text/plain": [ " Bronze Gold Silver\n", "United States 67 137 52\n", "Germany 67 47 43\n", "Great Britain 26 64 55\n", "Russia 35 50 28\n", "China 35 44 30\n", "France 21 20 55\n", "Australia 25 23 34\n", "Italy 24 8 38\n", "Canada 61 4 4\n", "Japan 34 17 13" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "medals = pd.read_csv('./dataset/medals.csv', index_col=0)\n", "medals" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "# Plot a bar-chart of gold medals as a function of country\n", "ax.bar(medals.index, medals['Gold']);\n", "\n", "# Set the x-axis tick labels to the country names\n", "ax.set_xticklabels(medals.index, rotation=90);\n", "\n", "# Set the y-axis label\n", "ax.set_ylabel(\"Number of medals\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Stacked bar chart\n", "A stacked bar chart contains bars, where the height of each bar represents values. In addition, stacked on top of the first variable may be another variable. The additional height of this bar represents the value of this variable. And you can add more bars on top of that.\n", "\n", "In this exercise, you will have access to a DataFrame called `medals` that contains an index that holds the names of different countries, and three columns: `\"Gold\"`, `\"Silver\"` and `\"Bronze\"`. You will also have a Figure, `fig`, and Axes, `ax`, that you can add data to.\n", "\n", "You will create a stacked bar chart that shows the number of gold, silver, and bronze medals won by each country, and you will add labels and create a legend that indicates which bars represent which medals." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "# Add bars for \"Gold\" with the label \"Gold\"\n", "ax.bar(medals.index, medals['Gold'], label=\"Gold\");\n", "\n", "# Stack bars for \"Silver\" on top with label \"Silver\"\n", "ax.bar(medals.index, medals['Silver'], bottom=medals['Gold'], label='Silver');\n", "\n", "# Stack bars for \"Bronze\" on top of that with label \"Bronze\"\n", "ax.bar(medals.index, medals['Bronze'], bottom=medals['Gold'] + medals['Silver'], label='Bronze');\n", "\n", "# Display the legend\n", "ax.legend();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Quantitative comparisons: histograms\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating histograms\n", "Histograms show the full distribution of a variable. In this exercise, we will display the distribution of weights of medalists in gymnastics and in rowing in the 2016 Olympic games for a comparison between them.\n", "\n", "You will have two DataFrames to use. The first is called `mens_rowing` and includes information about the medalists in the men's rowing events. The other is called `mens_gymnastics` and includes information about medalists in all of the Gymnastics events." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "mens_rowing = pd.read_csv('./dataset/mens_rowing.csv', index_col=0)\n", "mens_gymnastics = pd.read_csv('./dataset/mens_gymnastics.csv', index_col=0)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl4AAAE9CAYAAADaqWzvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAX50lEQVR4nO3de7BlZX3m8e+DoETBC9BQgLYNDuItEbHHUjEUBkNEUNB4gYwJgwYcJIMYJ1YPkxl1zExwKkqFSWBAueUCBFAjN0FlkJuodCPXIEGxRUakG1FAmSCX3/yx1xmPhz7n7HP6rHf32f39VO3aZ7177bV+9dam6+Fd71pvqgpJkiT1b5NRFyBJkrSxMHhJkiQ1YvCSJElqxOAlSZLUiMFLkiSpEYOXJElSI5uOuoBhbLPNNrVs2bJRlyFJkjSrVatW3VdVS9b12aIIXsuWLWPlypWjLkOSJGlWSb4/3WdeapQkSWrE4CVJktSIwUuSJKkRg5ckSVIjBi9JkqRGDF6SJEmNGLwkSZIaMXhJkiQ1YvCSJElqxOAlSZLUiMFLkiSpkUWxVqMkSVMtW3HRqEuYt9XH7jfqEjQijnhJkiQ1YvCSJElqxOAlSZLUiMFLkiSpEYOXJElSIwYvSZKkRgxekiRJjRi8JEmSGjF4SZIkNWLwkiRJasTgJUmS1IjBS5IkqRGDlyRJUiMGL0mSpEYMXpIkSY0YvCRJkhoxeEmSJDVi8JIkSWrE4CVJktSIwUuSJKkRg5ckSVIjm466AEnSaCxbcdGoS5A2Oo54SZIkNWLwkiRJasTgJUmS1IjBS5IkqRGDlyRJUiMGL0mSpEYMXpIkSY30FrySPC/J5UluS3Jrkg907Vsl+XKSO7r35/RVgyRJ0oakzxGvx4APVdWLgVcDRyZ5CbACuKyqdgEu67YlSZLGXm/Bq6ruqarru78fAm4DdgQOAM7odjsDOLCvGiRJkjYkTeZ4JVkGvAL4BrBdVd0Dg3AGbNuiBkmSpFHrPXgl2QL4LHB0VT04h+8dnmRlkpVr167tr0BJkqRGeg1eSTZjELr+vqo+1zXfm2T77vPtgTXr+m5VnVxVy6tq+ZIlS/osU5IkqYk+72oMcApwW1V9atJH5wOHdH8fAnyhrxokSZI2JJv2eOw9gN8Hbk5yQ9d2DHAscE6S9wJ3Ae/osQZJkqQNRm/Bq6quBjLNx3v3dV5JkqQNlU+ulyRJasTgJUmS1IjBS5IkqRGDlyRJUiMGL0mSpEYMXpIkSY0YvCRJkhoxeEmSJDVi8JIkSWrE4CVJktSIwUuSJKkRg5ckSVIjBi9JkqRGDF6SJEmNGLwkSZIaMXhJkiQ1YvCSJElqxOAlSZLUiMFLkiSpEYOXJElSIwYvSZKkRgxekiRJjRi8JEmSGjF4SZIkNWLwkiRJasTgJUmS1IjBS5IkqRGDlyRJUiMGL0mSpEYMXpIkSY0YvCRJkhoxeEmSJDVi8JIkSWrE4CVJktSIwUuSJKkRg5ckSVIjBi9JkqRGDF6SJEmNGLwkSZIaMXhJkiQ1YvCSJElqZNbgleQDSZ6ZgVOSXJ9knxbFSZIkjZNhRrzeU1UPAvsAS4BDgWN7rUqSJGkMDRO80r2/CTitqm6c1CZJkqQhDRO8ViX5EoPgdWmSLYEn+i1LkiRp/Gw6xD7vBXYD7qyqh5NszeByoyRJkuZg1uBVVU8kuRd4SZJhgpokSZLWYdYgleQTwLuAfwIe75oLuHKW750K7A+sqaqXdW0fBQ4D1na7HVNVF8+rckmSpEVmmBGsA4Fdq+qROR77dOCvgL+Z0n5cVf3FHI8lSZK06A0zuf5OYLO5HriqrgTun3NFkiRJY2qYEa+HgRuSXAb8/1Gvqjpqnuf8oyR/AKwEPlRVP5nncSRJkhaVYUa8zgc+DnwNWDXpNR8nAi9gcJfkPcAnp9sxyeFJViZZuXbt2ul2kyRJWjSGuavxjCRPBV7YNd1eVY/O52RVde/E30k+DVw4w74nAycDLF++vOZzPkmSpA3JMHc17gWcAaxm8MT65yU5pJvDNSdJtq+qe7rNtwK3zPUYkiRJi9Uwc7w+CexTVbcDJHkhcBbwypm+lOQsYC9gmyR3Ax8B9kqyG4PHUawG3jfvyiVJkhaZYYLXZhOhC6Cq/jnJrHc5VtXB62g+ZS7FSZIkjZNhgtfKJKcAf9tt/xvmP7lekiRpozVM8DoCOBI4isEcryuBE/osSpIkaRwNc1fjI8CnupckSZLmadrgleScqnpnkpsZTIb/FVX1G71WJkmSNGZmGvH6QPe+f4tCJEmSxt20T66f9Lyt91fV9ye/gPe3KU+SJGl8DLNk0G+vo23fhS5EkiRp3M00x+sIBiNbOye5adJHWwLX9F2YJEnSuJlpjteZwBeBPwdWTGp/qKru77UqSZKkMTRt8KqqB4AHgIMBkmwLbA5skWSLqrqrTYmSJEnjYdY5XknenOQO4HvAFQzWWPxiz3VJkiSNnWEm1/8Z8Grgn6tqJ2BvnOMlSZI0Z8MEr0er6sfAJkk2qarLgd16rkuSJGnsDLNW40+TbMFgjca/T7IGeKzfsiRJksbPMCNeBwAPAx8ELgG+C7y5z6IkSZLG0TAjXocD51bV3cAZPdcjSZI0toYZ8XomcGmSq5IcmWS7vouSJEkaR7MGr6r6WFW9FDgS2AG4IslXeq9MkiRpzAwz4jVhDfAj4MfAtv2UI0mSNL6GeYDqEUm+ClwGbAMcVlW/0XdhkiRJ42aYyfVLgaOr6oa+i5EkSRpnM454JdkEeLOhS5Ikaf3NGLyq6gngxiRLG9UjSZI0toa51Lg9cGuSbwI/n2isqrf0VpUkSdIYGiZ4faz3KiRJkjYCswavqroiyfOBXarqK0meDjyl/9IkSZLGyzCPkzgMOA84qWvaEfjHPouSJEkaR8M8QPVIYA/gQYCqugMfoCpJkjRnwwSvR6rqFxMbSTYFqr+SJEmSxtMwk+uvSHIM8GtJfht4P3BBv2VJkjS+lq24aNQlzNvqY/cbdQmL2jAjXiuAtcDNwPuAi4E/7bMoSZKkcTTMXY1PAJ8GPp1kK+C5VeWlRkmSpDka5q7GryZ5Zhe6bgBOS/Kp/kuTJEkaL8NcanxWVT0IvA04rapeCbyh37IkSZLGzzDBa9Mk2wPvBC7suR5JkqSxNUzw+q/ApcB3q+q6JDsDd/RbliRJ0vgZZnL9ucC5k7bvBH63z6IkSZLG0TCT63dOckGStUnWJPlCkp1aFCdJkjROhrnUeCZwDrA9sAOD0a+z+yxKkiRpHA0TvFJVf1tVj3Wvv8MlgyRJkuZs2jle3XO7AC5PsoLBKFcB7wIW71oHkiRJIzLT5PpVDIJWuu33TfqsgI/3VZQkSdI4mjZ4VZUT6CVJkhbQrI+TSLIZcASwZ9f0VeCkqnq0x7okSZLGzqzBCzgR2Aw4odv+/a7tD/sqSpIkaRwNE7z+dVW9fNL2/05yY18FSZIkjathHifxeJIXTGx0SwY93l9JkiRJ42mYEa8/YfBIiTsZ3OH4fODQ2b6U5FRgf2BNVb2sa9sK+AdgGbAaeGdV/WRelUuSJC0ys454VdVlwC7AUd1r16q6fIhjnw68cUrbCuCyqtoFuKzbliRJ2igMc6mRqnqkqm6qqhur6pEhv3MlcP+U5gOAM7q/zwAOHLpSSZKkRW6o4LWAtquqewC6920bn1+SJGlkZloyaI+quibJ04Yd5VpISQ4HDgdYunRp69NrI7RsxeJeCWv1sfuNugRJ0ixmGvE6vnu/dgHPd2+S7QG69zXT7VhVJ1fV8qpavmTJkgUsQZIkaTRmuqvx0SSnATsmOX7qh1V11DzOdz5wCHBs9/6FeRxDkiRpUZopeO0PvAH4LQYLZs9JkrOAvYBtktwNfIRB4DonyXuBu4B3zPW4kiRJi9VMi2TfB5yd5LaqmvOT6qvq4Gk+2nuux5IkSRoHw9zV+OMkn0+yJsm9ST6b5Lm9VyZJkjRmhglepzGYm7UDsCNwQdcmSZKkORgmeG1bVadV1WPd63TA2wwlSZLmaJjgtTbJu5M8pXu9G/hx34VJkiSNm2GC13uAdwI/Au4B3t61SZIkaQ5mepwEAFV1F/CWBrVIkiSNtdZrNUqSJG20DF6SJEmNGLwkSZIamTV4JfnTSX8/rd9yJEmSxte0wSvJh5O8hsFdjBOu7b8kSZKk8TTTXY23M1jEeuckVwG3AVsn2bWqbm9SnSRJ0hiZ6VLjT4BjgO8AewHHd+0rknyt57okSZLGzkwjXm8EPgK8APgUcCPw86o6tEVhkiRJ42baEa+qOqaq9gZWA3/HIKQtSXJ1kgsa1SdJkjQ2Zn1yPXBpVV0HXJfkiKp6XZJt+i5MkiRp3Mz6OImq+vCkzX/btd3XV0GSJEnjak4PUK2qG/sqRJIkadwNc6lR6+Ojz+rhmA8s/DG16C1bcdGoS5i31cfuN+oSJKkJlwySJElqxOAlSZLUiMFLkiSpEYOXJElSIwYvSZKkRgxekiRJjRi8JEmSGjF4SZIkNWLwkiRJasTgJUmS1IhLBqlffSyZBC6bJElalBzxkiRJasTgJUmS1IjBS5IkqRGDlyRJUiMGL0mSpEYMXpIkSY0YvCRJkhoxeEmSJDVi8JIkSWrE4CVJktSISwYtRi7DI0nSouSIlyRJUiMGL0mSpEYMXpIkSY0YvCRJkhoxeEmSJDVi8JIkSWrE4CVJktTISJ7jlWQ18BDwOPBYVS0fRR2SJEktjfIBqq+vqvtGeH5JkqSmvNQoSZLUyKiCVwFfSrIqyeEjqkGSJKmpUV1q3KOqfphkW+DLSb5dVVdO3qELZIcDLF26dBQ1SpIkLaiRjHhV1Q+79zXA54FXrWOfk6tqeVUtX7JkSesSJUmSFlzz4JXkGUm2nPgb2Ae4pXUdkiRJrY3iUuN2wOeTTJz/zKq6ZAR1SJIkNdU8eFXVncDLW59XkiRp1HychCRJUiMGL0mSpEYMXpIkSY0YvCRJkhoxeEmSJDVi8JIkSWpkVEsGaUP00WeNuoKRWr357/Vy3GX/cmYvx9WGYdmKi0ZdgqRFxBEvSZKkRgxekiRJjRi8JEmSGjF4SZIkNWLwkiRJasTgJUmS1IjBS5IkqRGDlyRJUiMGL0mSpEYMXpIkSY24ZJAWp418eSNJGpXFvkzW6mP3G+n5HfGSJElqxOAlSZLUiMFLkiSpEYOXJElSIwYvSZKkRgxekiRJjRi8JEmSGjF4SZIkNWLwkiRJasTgJUmS1IhLBk1wCRpJktQzR7wkSZIaMXhJkiQ1YvCSJElqxOAlSZLUiMFLkiSpEYOXJElSIwYvSZKkRgxekiRJjRi8JEmSGjF4SZIkNWLwkiRJasS1GqWerd789xb8mMv+5cwFPyYsrlolaTFyxEuSJKkRg5ckSVIjBi9JkqRGDF6SJEmNGLwkSZIaMXhJkiQ1MpLgleSNSW5P8p0kK0ZRgyRJUmvNg1eSpwB/DewLvAQ4OMlLWtchSZLU2ihGvF4FfKeq7qyqXwBnAweMoA5JkqSmRhG8dgR+MGn77q5NkiRprI1iyaCso62etFNyOHB4t/mzJLev53m3Ae5bz2PoyezXfszSr/v3ctJ1/ce5/mavNZ/o5cTr4u+1H/ZrP+zXHuQTTfr1+dN9MIrgdTfwvEnbzwV+OHWnqjoZOHmhTppkZVUtX6jjacB+7Yf92g/7tR/2az/s136Mul9HcanxOmCXJDsleSpwEHD+COqQJElqqvmIV1U9luSPgEuBpwCnVtWtreuQJElqbRSXGqmqi4GLG592wS5b6lfYr/2wX/thv/bDfu2H/dqPkfZrqp40r12SJEk9cMkgSZKkRsYyeCVZneTmJDckWdm1bZXky0nu6N6fM+o6F5skz05yXpJvJ7ktyWvs1/WTZNfudzrxejDJ0fbr+kvywSS3JrklyVlJNu9u6vlG16//0N3gozlI8oGuT29NcnTX5u91jpKcmmRNklsmta2zHzNwfLfM3k1Jdh9d5Ru2afr1Hd3v9Ykky6fs/x+7fr09ye+0qHEsg1fn9VW126RbRlcAl1XVLsBl3bbm5i+BS6rqRcDLgduwX9dLVd3e/U53A14JPAx8Hvt1vSTZETgKWF5VL2NwI89BwCeA47p+/Qnw3tFVufgkeRlwGIMVSF4O7J9kF/y9zsfpwBuntE3Xj/sCu3Svw4ETG9W4GJ3Ok/v1FuBtwJWTG7vlCg8CXtp954RuWcNejXPwmuoA4Izu7zOAA0dYy6KT5JnAnsApAFX1i6r6KfbrQtob+G5VfR/7dSFsCvxakk2BpwP3AL8FnNd9br/O3YuBr1fVw1X1GHAF8Fb8vc5ZVV0J3D+lebp+PAD4mxr4OvDsJNu3qXRxWVe/VtVtVbWuh7AfAJxdVY9U1feA7zD4n4pejWvwKuBLSVZ1T8AH2K6q7gHo3rcdWXWL087AWuC0JN9K8pkkz8B+XUgHAWd1f9uv66Gq/g/wF8BdDALXA8Aq4KddYACXK5uPW4A9k2yd5OnAmxg8ENvf68KYrh9daq8fI+nXcQ1ee1TV7gyGZ49MsueoCxoDmwK7AydW1SuAn+PlhAXTzTV6C3DuqGsZB93cmAOAnYAdgGcw+PdgKm/rnoOquo3B5dovA5cANwKPzfglLYShltrTnI2kX8cyeFXVD7v3NQzmy7wKuHdiaLZ7XzO6Chelu4G7q+ob3fZ5DIKY/bow9gWur6p7u237df28AfheVa2tqkeBzwGvZXCJZuL5hetcrkwzq6pTqmr3qtqTwSWdO/D3ulCm68ehltrTnI2kX8cueCV5RpItJ/4G9mEwPH4+cEi32yHAF0ZT4eJUVT8CfpBk165pb+CfsF8XysH88jIj2K/r6y7g1UmeniT88vd6OfD2bh/7dR6SbNu9L2UwYfks/L0ulOn68XzgD7q7G18NPDBxSVLr5XzgoCRPS7ITg5sXvtn3ScfuAapJdmYwygWDy2NnVtV/S7I1cA6wlME/yu+oqqkTGzWDJLsBnwGeCtwJHMogvNuv66GbK/MDYOeqeqBr8/e6npJ8DHgXg0th3wL+kMH8jbOBrbq2d1fVIyMrchFKchWwNfAo8MdVdZm/17lLchawF7ANcC/wEeAfWUc/dv/z8FcM7rx7GDi0qlaOou4N3TT9ej/wP4ElwE+BG6rqd7r9/xPwHgb/ThxdVV/svcZxC16SJEkbqrG71ChJkrShMnhJkiQ1YvCSJElqxOAlSZLUiMFLkiSpEYOXpA1CkuOSHD1p+9Ikn5m0/ckkfzzLMb42xHlWJ9lmHe17JXntDN87MMl/6f4+Pcnbp9t3Hd/dv3u8haSNnMFL0obiawyeLk+STRg8h+elkz5/LXDNTAeoqmmD0xD2mjj/ND4MnDDPY18EvKV7ZpukjZjBS9KG4hp+GXxeymDFiYeSPCfJ04AXM3joKUn+JMl1SW6aPJKU5Gfd+yZJTkhya5ILk1w8ZYTq3ye5PsnNSV6UZBnw74APJrkhyW9OLizJC4FHquq+qUUn+Xg3ArZJkjcl+XaSq5Mcn+RCgBo8MPGrwP4L0E+SFjGDl6QNQrfG6mPdUjSvBa4FvgG8BlgO3FRVv0iyD4OlPV4F7Aa8MsmeUw73NmAZ8OsMnlj/mimf31dVuwMnAv+hqlYD/ws4rqp2q6qrpuy/B3D91JqT/A9gWwarODwVOAnYt6pex+Ap2ZOtBH4TSRs1g5ekDcnEqNdE8Lp20vbE/K19ute3GIShFzEIYpO9Dji3qp7o1hm9fMrnn+veVzEIaLPZHlg7pe0/A8+uqvd1I1ovAu6squ91n581Zf81wA5DnEvSGNt01AVI0iQT87x+ncGlxh8AHwIeBE7t9gnw51V10gzHySznmVif8XGG+3fw/wLPmtJ2HYPRtq26dQlnO+fm3XEkbcQc8ZK0IbmGwTyo+6vq8S7QPJvBpcJru30uBd6TZAuAJDsm2XbKca4Gfrebd7Udg4nzs3kI2HKaz24D/tWUtkuAY4GLkmwJfBvYuZsvBoMFuid7IYMwKWkjZvCStCG5mcHdjF+f0vbAxMT2qvoScCZwbZKbgfN4cmD6LHA3g6BzEoO5Yg/Mcu4LgLeua3I9cCXwiiS/MqpVVecCnwbO75reD1yS5Grg3innfD2DuxslbcQymJogSeMlyRZV9bMkWwPfBPbo5nvN93h/CVxQVV8Z4pwB/hq4o6qO60bdzqyqved7fknjwREvSePqwiQ3AFcBH1+f0NX578Bsz+E6rDvnrQzmhE3MQ1vKYK6apI2cI16SJEmNOOIlSZLUiMFLkiSpEYOXJElSIwYvSZKkRgxekiRJjRi8JEmSGvl/aGb8+mfo9ekAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "# Plot a histogram of \"Weight\" for mens_rowing\n", "ax.hist(mens_rowing['Weight']);\n", "\n", "# Compare to histogram of \"Weight\" for mens_gymnastics\n", "ax.hist(mens_gymnastics['Weight']);\n", "\n", "# Set the x-axis label to \"Weight (kg)\"\n", "ax.set_xlabel('Weight (kg)');\n", "\n", "# Set the y-axis label to \"# of observations\"\n", "ax.set_ylabel(\"# of observations\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### \"Step\" histogram\n", "Histograms allow us to see the distributions of the data in different groups in our data. In this exercise, you will select groups from the Summer 2016 Olympic Games medalist dataset to compare the height of medalist athletes in two different sports.\n", "\n", "The data is stored in a Pandas DataFrame object called `summer_2016_medals` that has a column \"Height\". In addition, you are provided a Pandas GroupBy object that has been grouped by the sport.\n", "\n", "In the exercise below, you will visualize and label the histograms of two sports: \"Gymnastics\" and \"Rowing\" and see the marked difference between medalists in these two sports." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "# Plot a histogram of \"Weight\" for mens_rowing\n", "ax.hist(mens_rowing['Weight'], label='Rowing', bins=5, histtype='step');\n", "\n", "# Compare to histogram of \"Weight\" for mens_gymnastics\n", "ax.hist(mens_gymnastics['Weight'], label='Gymnastics', bins=5, histtype='step');\n", "\n", "ax.set_xlabel(\"Weight (kg)\");\n", "ax.set_ylabel(\"# of observations\");\n", "\n", "# Add the legend and show the Figure\n", "ax.legend();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Statistical plotting\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Adding error-bars to a bar chart\n", "Statistical plotting techniques add quantitative information for comparisons into the visualization. For example, in this exercise, we will add error bars that quantify not only the difference in the means of the height of medalists in the 2016 Olympic Games, but also the standard deviation of each of these groups, as a way to assess whether the difference is substantial relative to the variability within each group.\n", "\n", "For the purpose of this exercise, you will have two DataFrames: `mens_rowing` holds data about the medalists in the rowing events and `mens_gymnastics` will hold information about the medalists in the gymnastics events." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "# Add a bar for the rowing \"Height\" column mean/std\n", "ax.bar(\"Rowing\", mens_rowing[\"Height\"].mean(), yerr=mens_rowing[\"Height\"].std());\n", "\n", "# Add a bar for the gymnastics \"Height\" column mean/std\n", "ax.bar(\"Gymnastics\", mens_gymnastics[\"Height\"].mean(), yerr=mens_gymnastics[\"Height\"].std());\n", "# Label the y-axis\n", "ax.set_ylabel(\"Height (cm)\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Adding error-bars to a plot\n", "Adding error-bars to a plot is done by using the `errorbars` method of the `Axes` object.\n", "\n", "Here, you have two DataFrames loaded: `seattle_weather` has data about the weather in Seattle and `austin_weather` has data about the weather in Austin. Each DataFrame has a column \"MONTH\" that has the names of the months, a column \"MLY-TAVG-NORMAL\" that has the average temperature in each month and a column \"MLY-TAVG-STDDEV\" that has the standard deviation of the temperatures across years.\n", "\n", "In the exercise, you will plot the mean temperature across months and add the standard deviation at each point as y errorbars." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "seattle_weather = pd.read_csv('./dataset/seattle_weather.csv', index_col='DATE')\n", "austin_weather = pd.read_csv('./dataset/austin_weather.csv', index_col='DATE')" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "# Add Seattle temperature data in each month with error bars\n", "ax.errorbar(seattle_weather[\"MONTH\"], seattle_weather[\"MLY-TAVG-NORMAL\"],\n", " yerr=seattle_weather[\"MLY-TAVG-STDDEV\"]);\n", "\n", "# Add Austin temperature data in each month with error bars\n", "ax.errorbar(austin_weather[\"MONTH\"], austin_weather[\"MLY-TAVG-NORMAL\"], \n", " yerr=austin_weather[\"MLY-TAVG-STDDEV\"]);\n", "\n", "# Set the y-axis label\n", "ax.set_ylabel(\"Temperature (Fahrenheit)\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating boxplots\n", "Boxplots provide additional information about the distribution of the data that they represent. They tell us what the median of the distribution is, what the inter-quartile range is and also what the expected range of approximately 99% of the data should be. Outliers beyond this range are particularly highlighted.\n", "\n", "In this exercise, you will use the data about medalist heights that you previously visualized as histograms, and as bar charts with error bars, and you will visualize it as boxplots." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "# Add a boxplot for the \"Height\" column in the DataFrames\n", "ax.boxplot([mens_rowing[\"Height\"], mens_gymnastics[\"Height\"]]);\n", "\n", "# Add x-axis tick labels:\n", "ax.set_xticklabels([\"Rowing\", \"Gymnastics\"]);\n", "\n", "# Add a y-axis label\n", "ax.set_ylabel(\"Height (cm)\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Quantitative comparisons: scatter plots\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Simple scatter plot\n", "Scatter are a bi-variate visualization technique. They plot each record in the data as a point. The location of each point is determined by the value of two variables: the first variable determines the distance along the x-axis and the second variable determines the height along the y-axis.\n", "\n", "In this exercise, you will create a scatter plot of the `climate_change` data. This DataFrame, which is already loaded, has a column `\"co2\"` that indicates the measurements of carbon dioxide every month and another column, `\"relative_temp\"` that indicates the temperature measured at the same time." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "climate_change = pd.read_csv('./dataset/climate_change.csv')" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "# Add data: \"co2\" on x-axis, \"relative_temp\" on y-axis\n", "ax.scatter(climate_change[\"co2\"], climate_change[\"relative_temp\"]);\n", "\n", "# Set the x-axis label to \"CO2 (ppm)\"\n", "ax.set_xlabel(\"CO2 (ppm)\");\n", "\n", "# Set the y-axis label to \"Relative temperature (C)\"\n", "ax.set_ylabel(\"Relative temperature (C)\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Encoding time by color\n", "The screen only has two dimensions, but we can encode another dimension in the scatter plot using color. Here, we will visualize the `climate_change` dataset, plotting a scatter plot of the `\"co2\"` column, on the x-axis, against the `\"relative_temp\"` column, on the y-axis. We will encode time using the color dimension, with earlier times appearing as darker shades of blue and later times appearing as brighter shades of yellow." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnAAAAE9CAYAAACLPV+MAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nOzdd5xcddX48c/33jt1e8umk0IooUMo0lFAUB95UCwoCDbUB0F/9vYoYsGOBXkUEWkqIoggIIIgQoAAAUxIgJCQXjfbd/ot5/fHzNaZTXaz2d1sOG9f+0rm3pl7z0yCc/It5xgRQSmllFJKTRzWeAeglFJKKaWGRxM4pZRSSqkJRhM4pZRSSqkJRhM4pZRSSqkJRhM4pZRSSqkJRhM4pZRSSqkJxhnvAMZSfX29zJo1a7zDUEoppZTaqeeee65ZRBpKnXtdJXCzZs1i8eLF4x2GUkoppdROGWPWDXZOp1CVUkoppSYYTeCUUkoppSYYTeCUUkoppSYYTeCUUkoppSYYTeCUUkoppSYYTeCUUkoppSYYTeCUUkoppSYYTeCUUkoppSaY11UhX6WUUkq9vgTea3ipu0DS2NEzsMLHYowZ77BGTBM4pZRSSu2V3OQf8TqvBDzAx0/fhh05k1D1TyZ8EqdTqEoppZTa60jQitf5TSBDPoETkBR+9kGC3MJxjm7kNIFTSiml1F7Hzz4OpsREo6Tw0/eNfUC7mSZwSimllNrrGEKDnLHAhMc0ltGgCZxSSiml9jpW5BRASpwJ48TeOdbh7HaawCmllFJqr2OsMsI114KJAXEgBkRwyi/FCh82ztGNnO5CVUoppdReyY6cQnTS0/iZfwJprMgpGFOBl7oTJI0VORnLmTneYe4STeCUUkoptdcyVgVO/FwA/OxCsm0fAzGAD3wbp+wjhCo/N64x7gqdQlVKKaXUXk8kTa7t4yApIEm+vEgWL3UDfu6ZcY5u+DSBU0oppdReL8guBEoU75UMfurOMY9npDSBU0oppdTeT7zBToDkxjSU3UETOKWUUkrt9azICaWTOBPHjr197AMaIU3glFJKKbXXM1YloapvA1HyezgNmBh25E1YkVPHN7hdMK67UI0xNwBvA5pE5OAS598PfLHwMAF8QkSWFM6tBbrIbyPxRGTBmAStlFJKqQnJib8TK7wAP30XIknsyOlY4WMmZGP78S4jciNwDXDzIOfXAKeISJsx5mzgOuDYPudPE5Hm0Q1RKaWUUnsLy9kHq+LT4x3GiI1rAicijxljZu3g/JN9Hi4Cpo92TEoppZRSe7qJtAbuw8Df+zwW4EFjzHPGmEvGKSallFJKqTE33lOoQ2KMOY18Andin8MniMhmY8wk4CFjzCsi8liJ114CXAIwc+bEbJehlFJKKdXXHj8CZ4w5FLgeOEdEWrqPi8jmwq9NwF3AMaVeLyLXicgCEVnQ0NAwFiErpZRSSo2qPTqBM8bMBP4CXCgir/Y5XmaMqej+PXAmsGx8olRKKaWUGlvjXUbkj8CpQL0xZiPwDSAEICK/Ar4O1AHXFrb4dpcLaQTuKhxzgD+IyANj/gaUUkoppcbBeO9CPX8n5z8CfKTE8dXAYaMVl1JKKaXUnmyPnkJVSimllFLFNIFTSimllJpgNIFTSimllJpgNIFTSiml1IQUeGvJtl1KeuuRZJreiJu8DREZ77DGxIQo5KuUUkop1Vfgbybb/HaQJBAgfhte55WIv5pw5VfGO7xRpyNwSimllJpwvMSvQdJA0OdoGj95MxJ0jFdYY0YTOKWUUkpNOEFuMeAVnzBhAm/VmMcz1jSBU0oppdSEYzlzAFN8QnIYe8qYxzPWNIFTSiml1ITjlH8MiAw4GsaKnIBlTx2PkMaUJnBKKaWUmnCs0MGEa64FawoQBsLY0bMJV/9ivEMbE7oLVSmllFITkh09jWjkCQiawSrHmNh4hzRmNIFTSiml1IQhQQI/9zQYBzv8BowJg90w3mGNOU3glFJKKTUhuKl7yHV8Hkx3+mIRrbkeO3LsuMY1HnQNnFJKKaX2eIG3Pp+8kQFJFH46ybR9EAmS4x3emNMETimllFJ7PC99J+CXPOdnHxr1+4u3ES95A17yd4i/adTvtzM6haqUUkqpPZ4EnYBb4oSPBIlRvbeXuAG/64eAAAa/8wfYlV/DKXv/qN53R3QETimllFJ7PCf6JjDxEmcEO3LSqN038NYUkrcskCv8msXv/Pa4jsRpAqeUUkqpPZ4VPgE7fCLQN4mL4ZRdjOXsM2r3DTIP0L/fai8/8+Co3XdndApVKaWUUqNKxCPwVmFMGZYzY5euYYwhUvNr/Mw/8DJ3A2FC8XdjR07cvcEWkcJPieNSOrEbC5rAKaWUUmrUuOkHybR/DsEF8bFC+xGv/Q3WLvQrNcbCiZ2NEzt7FCItzYq+Gb/rGsAbGA129Mwxi2MgnUJVSiml1Kjw3RWk2z+JSDtIEsgQuMtJNp+PSKlRrT2P5czFLr8UiAI2+bGvCHbFZzG7OJq4O+gInFJKKaVGRS55E8jAnaM+EmzDd/+DEz6i3xkJ2vGzT4EVxw4fjzGhsQt2B5yKS7FiZxXWwxms6NlYzuzxjWlc766UUkqpvVbgb6Z07TYL8Zv6Hcklb8Lt/A70JG0horU3YYcPG+0wh8Ry5mKVXzreYfTQKVSllFJKjQoncgpQosG8ZLHDh/c89N0XcTu/C2T7dFloI9N6ISK5MYt3ItEETimllFKjIhx/N8ZuACK9B02ccNkHsOzGnkNe6jbyNdYG8vGzC0c7zAlJp1CVUkopNSqMVUZ5w31kE9fhZR7AmArC5R/Cif5Xv+fluywMUpJDUqMf6ASkCZxSSimlRo2xqohWfh4qPz/oc5zoWfjZfxYna5LDDr9hlCOcmMZ1CtUYc4MxpskYs2yQ88YY83NjzCpjzFJjzJF9zl1kjFlZ+Llo7KJWSiml1O5kR8/CCh3Zp1WWAWKEKj6PsevGM7Q91niPwN0IXAPcPMj5s4F5hZ9jgf8DjjXG1ALfABaQL4/8nDHmHhFpG/WIlVJKKbVbGWMTrb2p0GXhXoypwImfjz2gzIjqNa4JnIg8ZoyZtYOnnAPcLPlqf4uMMdXGmCnAqcBDItIKYIx5CDgL+OPoRqyUUkqp0WCMgxN7K07sreMdyoQw3iNwOzMN2NDn8cbCscGOK6WUUmovJyJI9h8EyRtBOjGRM7DKPoyxKsc7tDGzpydwpsQx2cHx4gsYcwlwCcDMmTN3X2RKKaWUGhdB14+Q9M0gaQDEW4ufuQe77m8Yq3ycoxsbe3oduI1A30Zj04HNOzheRESuE5EFIrKgoaFh1AJVSiml1OgTvwVJ3diTvOXlwN9OkP7zeIU15vb0BO4e4AOF3ajHAR0isgX4B3CmMabGGFMDnFk4ppRSSo1YID6Ltv+e6159L9esOId7NlxBe67kOIEaY+Iu6dNuq68Mkv33mMczXsZ1CtUY80fyGxLqjTEbye8sDQGIyK+A+4G3AKuAFPDBwrlWY8y3gGcLl7qye0ODUkopNVJ/3/R9VieewpMsAKsTT7ExtZSL5v6WMqdmnKN7fct3dihV9NfC2FPHOpxxM967UM/fyXkBSnaOFZEbgBtGIy6llFKvXx25rbyWeBK/Tw9OQfAky5LWezh+kpYeHVfOwWBNAX8t4Pc5EcaKXzhOQY29PX0KVSmllBpTLdm12KZ4fMMXly3pl8YhItWXMQa79kZw5gNRMGVgKrGqfoAJHTje4Y2ZPX0XqlJKKTWmqsJTCcQvOm7hUBedPQ4RqYGMPQWn/i7E2wDSBc48TJ91cZJ9Ckn/BXAx0f+CyGkYM/IxK/G34CVvBW8lJnwkdvy9GKt6xNfdFZrAKaWUUn3URWYyObY/W9Iv44vbc9w2DkfUnDOOke2cG3SRyK0h6jQScxrHO5xRZ5wZRceCzu9D6g9AocRI9lEInwLVP8WYUlXIhibILcVtfR+IB+QguxA/eT3hursxztiXotUpVKWUUmqAc6ZfyX4VJ2ObEAaLushs3rnP96kKTxnv0EoSEV5pvYYH172RRVs+ziMb3srTWy7DC1I7f/FeRLy1kLqV7uQtfzAFuX+D++xgLxsSr+PL+WvRvTYyA0E7Xtf3RnTdXaUjcEoppUZFIAFPND/FP7f9i2yQ5Zjaozl78hnEnNh4h7ZTYTvOWdO+yBnyWQJxCVl7dswbu/7G6o6bCSRLQH7nbHPmKZZsv5KjGscnwRgX2YWlj0sayfwLEz5mly4rQQrxXi1xJiAYp9IlmsAppdQEIiIs71jPxlQLcysmM69izy2bcMOaW1jU8gzZIJ9Q3Lv57zzd8gzfOuQbhK1Sdbz2PLZxSm5o2NOs6vgdvmT6HQskx9bkP/GCFI4VH9H1RVxy2ccJgnbCkeOwx6Fch4iHm30CCZpxwsdgl5g+xSoD7BKvdsCq2PWbG4f8pGXx2kjM+CT3O/1baYxZAJwETCU/JrkM+KfWXVNKqbHV6ab41HO/YUOqGcgncwdX78MPDr+YiL1nJURNme082bwIt88aMldcWnJtLGp5mpMbThzH6PY+Ob+t9AljcIOuESVwrvsSrc3vAckCgohHvPwSKqu+vMvXHC7fW01H87sQSQIC4hGJn09Z1bf6r2uLnA7mihLNNe38ZoZdZEwYK3omQeZBwO1zJood32FFtFEz6Bo4Y8zFxpjngS8DMWAF0AScCDxkjLnJGKPNRZVSaoz88OW7WJ3YRtrPkfZzZAKXpe1r+e1rD413aEVWJl7DLrHrLxtkebFDS3HsbvWxYyj1lR6yKojau95GUiSgrfkCJGhBJFFIoLKkk78lm/nXrgc8rBiEzpaLsYNmKvCoJqDSGIL07eQy9/Z7rrEqMNW/AlPe+0MUqq4queFhOJyq72BCB+VH3ArXtSInYZf/z4iuu8vx7OBcGXCCSL9mYz2MMYcD84D1oxGYUkqpXl7g81jTcrwB5S1ygce9m5/lf/Z7yzhFVlp1qAoo3vFnY1Mfrhv7gPZyB9ReRlN6IX6QQfAAg2UiHFL/tRGVz3DdFxDpKjoukiKVvIVI9LQRRD00vrcSK9hCuQn3jLbZGMpEyHT+lEis/8iaibwBJj0FuafyO0bDx+2WBvfGqiRc/xcCdznircOEDsBy5oz4urtq0ARORH65oxeKyH92fzhKKaVKCRACKdU+KJ/E7WkOrNyfMidONpdF+sxn2ZbNaZNOHsfI9k5loRmcMv1OVrXfQGvmecqcmexb/UFqoof2PEfEJxd0ELIqsEr2Ei2WH8MpnQAGQXFiNyqCJHEMAyuAGGOISOn+tMZEIHLqqIRjhQ6C0EGjcu3hGDSBM8b8AFhd6Ena9/j/AyaLyBdHOzillFJ5YcvhgMrpvNS5od9xC8Mb6g8Yp6gGZxmLrxz4eX628lq2pLdiGYuIFeZjcz/MpOiuT+mpwcWdKRxa/9WS51Z3/J5X267FlywGh7lVF7Ffzcd3WhctHDqSwRbuR2P/vRui3jE/dQ90fRsLodSIrsEnCDJYVnTUY9nTmHy70RInjHkJOFik/z/5TH4sdqmIHDwG8e1WCxYskMWLF493GEoptUte69rCJxb/CjfwyAUeEStE3Inw22MvozE6PtXgh6Ips51ckGNqbArWbqiGr4ZnQ+fdvNjynX67VG0TY171R5lX85Gdvj6duouO9s+CuIAPJk7IOZDahjvyI127UeBvI5O8Cc9dhmNVEs7+C8hiCv8byBchFf8EVVWf2a1x7CmMMc+JyIKS53aQwC0XkZJjhDs6tyfTBE4pNdG15RLcs/EZVie2Mr9qBm+duoDy0J5do0yNr4fXv4WUt7HoeMiq4M37LBxSdwLPXUkq+XuCoJlI9EzCkZPwvVVY9iQcZ5/dEqfnrqSz+e2IZIEcZSaC0ye2gUlcIEKnZEkRZdqUV3ZLq6w9zY4SuB1tYkgZY+aJyMoBF5tHvxLHSimlxkpNuJyL5rxxvMNQE0jGbyp53A2SBLjYhHd6DSc0j8rqKwBIdF3L9q1HYUwIEZdQ+FBqam/AsmtHFGey42uIJOiuATIwHetZSyn5Z3RKlqS4QIBIBmNGVutuotlRuvp14O+FciKHFH4+CNxXOKeUUkqpPVx5aG7J41F7EhbDqx+YST9EouvHQKawOzWDm3uBttZLRhynl1tE3wJuPgEDZwkFwSdgS5AoJG9gWw2YcSqmO54GTeBE5O/AfwOnATcWfk4F3iki949BbEoppZQaoYPqPotl+i/yt02U+XWfG3Zz92Ti/6CoupiLm3sO398yskAHxJiR/O7qvjlcIEKX5HpfYmJUVX19SO9DvNcI0n8hyC5EpMTGjAlmh50YRGQZcNEYxaKUUkqp3aw+dgzHTb6Wl1t/TsJdTdyZzv61l9IYP2nY1wqC5pLHjQkRBK3Y9pRdjjMSfy/Z5K1Q6OUaICQE4nYjNhmwJ0HkzXiZRzHuKzjOTKoqv0AsevoOryviE3R8Dsk8CMYGDJgq7Lo/YuxpuxzveNtRGZHrgF+IyIslzpUB7wGyIvL7UYxPKaWUUiNUF1vAidNuHvF1IpHTSHnr6N9OKi+RuIlM+m7AIxI9g6qqb2LbjUO+dlnllwi813Czi/K9R8XDDh9NuPYGjNU7RdpY8elhxRykbkMy/wSyvTO0ksZv+yRO/V3DutaeZEcjcNcC/2uMOYR8/9PtQJR894VK4AZAkzellFJqL5ZzV5JI/Q0IiEXPxEr/lSDoALqnMmNgqkmnbu85lknfR5D5N2Vl78OJnIgTOWWnu0Q9dwVW6FDC9r44oTmEwm/ACc0bcfyS/j3dey8NprAZIgDvVcTfirEnj/ge42FHnRj+A7zbGFMOLACmkP8EXhaRFWMUn1JKqdexQHySXgcxuwLHGt6CezVy7V2/oq3j+0hhxK0jcS2VZRcSMxGy2Uex7WmEIifS1fk9upM3i3wDdUjiJn+Dm/o9dugg4nV/KFk3TkRIdHyZTPoOkCxgAzblVd/dLQkcQaZf+ZHu3wsB9KmNN9HscA0cgOT39D46+qEopZRSvZ5tuY9/bbsVT1wMhgW1b+FNkz+AZezxDu11wfU20NbxPaSwJg3yrbU6EzczrfF+Kqq+AkAy8TtEetu5RbH7byqQFH7uRXLJW4mUf7j4PrlFZNJ39tkcEQAuiY4vE4mdgWWNrDyJCR8OmY2lygAjprrE8Ylh76t6p5RSasJb3rGQf269kUyQxJMcrmRZ3Ho//9p263iHNiY6MktYtv2LPL/1o2zsvB0/yO78RbtZKvNgyeOCSyLVW4zCduZgTH48yKJUwyuADG7qDgBy2afpbL2U9pYLyKT+RCZ9V4mdrYBxyGUeHdF7ADCDlEoxRDG5hSO+/njZ6QicUkqpvUt7Lsna5DYmR2uYHKsZ73BK+ve2P+BK/6TFlSzPtNzHaY0X7NWjcBs6/8irrT8gkCwgtGWeY0PnHzhm6m3YfXp+prwtpN1NlIfnELFrEfFI5V7EYIiFD8EM4TMKJEM2txTLlBEOzR9QjqOwY7OI6XftSOQkbHsKnrcWwSvx/O6X2aS6riWZ+AlGMoDQlV1EfqWWoW8NuO770Oc+nrcBz99IyNkP267r90yRAN99EQiwQ4f0JJT5c9nS1zd2v+tPNENO4IwxZSKSHM1glFJKjR4R4eev3sPfNi8iZBxc8TiiZl++efAFxJ3d29NyJNYkltKcK279BBDgkQ3SxOzyMY5qbHhBkldbv19I3vICSZPy1rG56y5mVJ2PF6R4btsXaM48jUWIgBwz4sdhuY8jkgMEy8SZ1fAbyiJHDXqvzuTdNLV/vpDaBDjWJKbW30w4tC8AZbGzaG2/ouh1Boey2Nt6HxuLuvq76Gj/EpnMP3o6JvRP/WI40bfT1XUVIbzCOjQDZPHERbDJT532IT7hyGkEQYqW1kvIZBdiTBiRHOVlF1BddSXGWHi5F0i2fhiRFPkVbiHitb/CduaSaL0Y475G3BQFBBJAePilVPYUO03gjDHHA9cD5cBMY8xhwMdE5H9GOzillNrTZXyX3618ins2LMU2hnfscwQXzD2WsLXn/cv+r5ue4r7NT5MLPHKFkZIXWlfx41f+wv8efP44R5eX8Nr5w7pvI5Qe+4la5USt3dsyaVNqOU8330pbbiMNkX15Q8OFNETnjPi6fpDhtY5b2ZC4FzDMrDiHOVXvwzaDt67qyP6nMOXXf/QxkAxNqQeZUXU+LzZ/l+bM0wSSJSCLRYCfuQcx0uf5SVY3vZ/5057FtiqK7pN1V9DU/v8QyfSMS7n+OjZufzezpzyLMTaOPZm6mu/T0vZFev80hNqqL/cked1su47aut8URsKWk2p5H+CB5MA4OJGTwJ5CiKCQuvX+6ToEuMQIcAtnHMCmouYaLKuSltbLyWQXAtnCaBokU3/AceZQHn83iZb3gSR6ridAsvVijD0L8V4FfLLiEMHJvw8TxmBhqq/GWBP3HwJDGYG7GngzcA+AiCwxxpw8qlEppdQIiAiLtmxgbWc7B9Y2cFjD5GFXnB8KXwIuevwmVnRsIxvkE6JfvPwvFm5bxW9PuHBU7jkSt69/jEzQv35XTjwebVrCF/zziNgj2+WZC1yWtC8l5aWZX3UADZH6YV9jWcfjSG/XS6A3dbCNwxmTP9hTjqIjt501ySVErDj7VhxFyBr+KOLqrqe5b9O38QqJQafbxLrkYt61z4+YHNt/2NfrJhLwxJaP0ZF7pWc07ZXWa1ndeTcH1n6dGWWHl/z74VgVFI1EFYSsanzJsTnxAAG93QjiJj/qVhQDQkfqfmrL31N0riNxCyIDa7kJgSRIZ58iHj0RgMqy9xCPnkoq/QCCT1n0TBxn+oD3KiRzi8m4q4g6cyiLHENF4zN4mQcIgmac8NHY4cPJpP6MQfolb5BP2SxJkyHIL8w3NrH4BURjZyGSIZW+G/q83/w903Qlfk3Eqij53hEf8VYC+Y4LOTw88XGwMM4conV/xFg7Xz4QuK8g7hKMNRkTOXFI09JjZUhTqCKyYcBftInfg0IptVdqzaR4z723sSnRSVAYxzm0vpGbzjqPmLN7y1A8vm0Vqzq39yRvABnfY0nrRp5v2cBR9TN36/1GqsstsVC8IO3nRpTAvZZYzQ9euZpA8ulXIAFnTn4T75153rCuk/Q68CQHhXpd3SuXDHBw1akcWnMaAI9su5VFzXdhCjseDYb3z7qC6fEDhnwvEeHRbb/sSd4KR/Eky7+3/Zr3zPrJsGLva3t6EZ25lf2nQsmRctfy4OYvEHFmct7MnxBzqvq9rjJ8CCG7Bt9L0zcxsUyU6ZXnEwSZfPmLPmwTlBytFEnj+i0l4/ODJgb7KveD1n6PHbuRyvLSTZn8IMHKpveRcV8t/HkZIs4c9mu8jVD83AHXmc1gWzG6q7P5AJIjkbyJysrugr0lEjQgCDoIgtb8KF+RHAzYvBAg5PCxsXeavIl4eG2XEWT/TX7UzgJTRbjuTxhnz+jeMJRdqBsK06hijAkbYz4HvLw7bm6MOcsYs8IYs8oY86US5682xvyn8POqMaa9zzm/z7l7dkc8SqmJ70uP/4PVnW0kPZe055H2XP6zfQs/eW737zb7T8tGUn7xl0cu8FnSVnoN13g6smZu0egHQF2kkqrQ8KclX2xfzpeXfoOLnv4o31r+HQztRKw2olY7tknyz20P82LH8p1exw1y/HXjLXxp6Yd5YOt99H415cdrBINtohxd9xYA1iSW8HTz3Xji4kqGXJAmG6T447pv4csOFtEP4EuOTrep5LmmzMohX6eU1sxSfEkVHTcIDknacxt5eGtxgmiM4cjJvyFqT8E2ZdimHMtEmFtzObWxY3CsCmJO/8KzGRks8ZbCurA+R0RYtf1yWlJ/R0rlReISixwz1LfJxvZvk869RCApRNIEkiLjrmBD2xVFz7VDB2GIFh0XEdwBSZoxEVz3JSxTPUh7Loto5ASc8BvyXRuKxCmd4kRwIm/a6fvyk7cS5B4DMkAaJAnBVtz2T+70tWNlKAncx4FLgWnARuDwwuMRMflxyF8CZwPzgfONMfP7PkdE/p+IHC4ihwO/AP7S53S6+5yIvH2k8SilJj438Hl4w2q8oP8IRdb3+fOrO08khmtyvJJoiVGrsOXQGC1edzTeLtn3LZQ5EZzCNJCFIWKF+NwB7xz2dO9LHa/w05W/ZGN6E0JAmZPBMQHGgDEQsXwck+DRbY/t9Fq/Xf0TFjY/RNpPkQsEN+jfwDxkIuxXcTRTY/l1Vy+0PVS0QxXAF491yaH/OdsmhDPIerSYXVXy+FBFnQZsEys6LoCXX7XGmsQi/KJpTCgLzebEGQ9x5OTfcMikH3DyjH8zq+qDQD7BO7T+69gmSvdXuD9oAgedA8pwvNp0Mcn0X5DC+HTfz9mYONXlH8EZRmeCtuRdyMDpTVzakn9DBmSIxooRqfoG9PlcBAsBckXTxjlsqxFjDLXVP8SYGL0pSwhjyqmq+ipO+FBCkdPB9P0HSBhj1WKFT4d+CWMEY9cRKf/QTt9XkPp9idImAeK+jPjbd/r6sbDDKdRCknWhiLx/FO59DLBKRFYX7nUbcA7w0iDPPx/4xijEoZTaS/iBEJQcVsgnd7vbW6YdzI+X/bPfMQOEbYc3TR36VN5YmR6v58ZjP8vt6x9jacdaZsYbOH/mKcytmDrsa/1541/IBfkv7rDl5Rem98kBjckvTu/y2opem/bTZP0MVaFqtmU3syrxMm5PImNI+BGiFkyKVFAXmcSRNWdwcFXv0mt3kJpoBlOYfh0aYywOq307/2m9u980qmMiHF1XvG5sOKaVv5nlrVf3m/0TAcGQCvJr9QRBJCi5W8MYi4rwgeSCDuwBmzYa4sdx4rRbWdX2a5LueqrDswkyd5EfLepP+nQa8LwE2ewjWAbAkANsBEtAcJhRdy1l0TOG9T5lkBHP7s4NIll8vxnbbsCYMJGy92M7+5JLXE8QbMM482lL/2nAdUKEnIMJFTZKRKMnM6nhPrq6rsX1VhEJH0NF+SU4hanMeM01uOm7ySZvwXOX5j/XYAO4zfk9qeETQFI40TcSKbsYy6re+fsadLLXKnSLGH87TOBExDfGnEN+I8PuNg3Y0OfxRuDYUkSVLNoAACAASURBVE80xuwDzAYe6XM4aoxZDHjA90Tkr6MQo1JqAok6Doc3TOaFpi39JmRsY3jTzLm7/X6V4Sg3nnQRn3nmDpoynYjAjLIarj7mXSVH5vYEk6LVfHK/kU9abE5v7fm9XRh5K2Wfst71QkkvyY1rfsPyznytsnKngpPqT8jXdOuXdxsyAVSE5nHx7C8UXfOgqpNYnViCO6ANki8e+8QPGtb7OKHhg7hBmmXt/8AyNiIBC+rO49Cat+38xTsQsso5vP4qFjd9vieJ8rFo8soLK/sMjdH9cUpsvBDxWd56NWs784VvDQ4H1v4Pc6reB0DaXc/q5q+Qyi3HYHBJEbZi+EH/z8MQpTp+DgDt6ad4tfnTRAdsD/Ex+IAnUB47c9jvsyJ6Mp2Zf9F/44VFReQE2ju/T2fiup5jVRWfoqrikziRY3Eifb7uIyfS3vHF/I5Y8YhEjqOu5v/63SccOpC62l+UjMEYi3D8XNzcCwTuC1BIHpE0gsEP2qme9MCw3pcVfRtB8gYGbp7Argd7z1gDN5RNDE8YY64B/gT01IETkedHeO+Say4Hee57gTtEpO8/oWeKyGZjzBzgEWPMiyLyWtFNjLkEuARg5sw9a0GxUmr3+/5JZ/HOv/2BnO+T8T3iToiKcISvHnPqqNzvoOopPHDGJ9mUascyFlPjI5t6mygaow2sSa4DwBcLkeIkzjIWx9cf3/P4mpVXsy61Bq8w2tLmtvLAtvuJWB7dk2mOyScCQoip0Rkl7z2/6gSWtD/CuuTynpEzC5vTGy8mYvcfrep0t/F8y19Ym1xMLshRG57FgrpzmVV+ZCFGmzdOvowTGj5E0muhIjSJkFW8Tmu4fHF5dNuPSPshLOyez8lBCEwY24Q5fcrnep7vBWnWdN7N5tS/yXlNZPwNBH1GE19q/Tlhu4apZW9iyZb34AYtdCdNSW8FOStK3MTyuy/JYZk4YWcf6is+TMpdw/KmSwgkRbTEwikRELNr5TRm1F7Jiq1vJ5AUgaSxTAxjotSE59GZuA7pMw3Z0XU1llVFZfkH+l2jLP424rGz8by1WFYVtj383csA2czf6Eneegi+t4IgaMMawq7Tbk75x8llHoRgK0gKCINxCFVfvcfsLh9KAtf9X9+VfY4J8MYR3nsj0Pe/zunA5kGe+14GrLsTkc2FX1cbYx4FjgCKEjgRuQ64DmDBggWDJYhKqb3EfjX1PP7uj3L7q8tY2d7MYQ1TOHff+ZSFBq+9NVLGGKaX7XkdDdYlm2jJdrJvxVQqS2xSyAUeL3esJ2Q5HFA5HcsMvbviedPP5WcrryUX5MgFTj4Jk95pVAubmfHZzIrnp8G2pDezIb2uJ3nr5gVCdaicbNCChd/zepEcmzOvEEjQLy4RYVtmMzPjR7Oya3kh7RMMDg9uu519K4+mNtwIQFPmNW5f+xncQhIhAgl3GxtSS1hQdx4nTepNJCJ2GRG7bMjvf2fWJxbiFUbECsUx8usDsdm3bAEnT/4sRrK0phcRthtYuPWLpLwt+JLO10obkCP4kmFF23VEjSGQFANLjfhiqK38NA4ZXH8L5dETqIq/BcuE2dx2YyEZNGTFJtLnc4b8F/qknh2fwxNxZnDQ1MdoSdxJ2l1GLDSfmrJ3sGXrsf2SN8jviu3o+llRApf/bGxCocFHyUV8fHcJiI8dPhxjSo1w76jEx/DKfxirknDDfQTp+wlyizD2DOz4uzH2pGFdZzQNpZn9aaN072eBecaY2cAm8kna+wY+yRizP1ADPNXnWA2QEpGsMaYeOAH4wSjFqZSaYKqjMS459OjxDmPctOeSfGnJDbyW2IJjbFzxOH/mqXxozpk9owePNy3jOy/dBuS/wMudKN877IPMqxja9NCh1Qfzibkf5Y/rb6cpu52AGiaFw7S5TdjG5qja43nn9N5aeC25ZuwSX6IBAWV2Pb4095/cM7Ax/RorE0vYv+KIwvtq5brV36Mltw2bJIaA3oXtPr6f4h9bbuH8ffIjW49s/UVP8tZ9TZF8UdxnWu7g8Jq3UBHatdGenelyt+GXWI8n+FSHGlnV+l2aEg9gmQi+pAnE4MuOv5IzXhMZb1O/kblugaTJBV1Mr/1i0bm0u4bukiEZcRDIJ3GAj0NNxWVMr7pkV94mALZVwaTKi3vfo7gE0lXyuf4ubADwcs8VOi3kR1sNNvGaawlF+5ekjcbfTTrxa/oXQbZxwkdiWZXDvq8xEez4udgDyqHsKYbSieHrpY6LyJWljg+ViHjGmE8C/yCfGt8gIsuNMVcCi0WkuzTI+cBt0n87y4HAr40x3f/1fk9EBtv8oJRSrytXLLuVV7s24YlPtjCl9Kf1jzGnfDKnNR7G5nQLVy7/A9nAxTYBleE0ju3xtWXf4bJ5F3FifcnlyEUW1B7Bgtoj+o2SBRJgMEXTTNNjM/tsVOgVMiHqIuWkfAd3QGKSCzK80vlcTwJ3/ZofsC2zkQCfmCle/C8ErOpakv+9CFvSxRWvTKGwnDEO65NLOai6dzJpXXIpjzf9kdbcFiZH53LypPczOda/I0NLdi2Ltt/E1swrVDiNTI0fxKau+7BkC44VYmb52RxSdxkN0QOwTIhgwIijY2LYwVqaMv8kINeTjDlA1MgOSoJAVeRAKiKHYEyoqAivZeJURg4v/brocXRknisszDdkJURWQhhCHD39ESJOqTIdu86YEI49E89fV3QuHDpwWNeSIEGi5YLiTgttH6Fy0hNYdkPP8VjFZbi5RXjuMhAv33HBVFBe/fNdfi97sqFMofbtfxoF3sZuqgMnIvcD9w849vUBj68o8bongUN2RwxKKbU3acl2sqxjLZ7033WbCXL8af1jnNZ4GPdtfhZfAmwT0BjvwkIKU2ouv1l9I9uz2zl32tAX8fed4hxsGrY6XM0J9SfzVMvCnt2rFhYRO8ph1UeyMb20aBW0jUPczpdj2ZbZRFNmM8EgXQogX2MtYvssa3+Q2WVH45jwgCK9vQLx+20geKXjSe7e9OOe53clmlmT/A8Xzr6KqbH9AGjOrOb2dZfjSRZBSHjbybpPETM5LJOf9l3beQdN6Sc5Y/od1EfnsT3zSs9InGVCVISmkMg+QTBgA4YxEBGPDCF8DLZIv2lO20Q5qPZTVEYOpjx8EInsUgK6R6TCRJ1p1MZLr2yaUnE+mztvwg08ukfiLBNjUtnbiThT8r1W0/8kCNqJRU8m5Owz6GfcTURIZJ8h7a4kGtqXisix/ZL22upvsr31E/2mUY2JUls9vGISbubvlO60EJBL/5Vo+Uf7XD9GZd2deLln8dyl2PYMQtE3DjLdOvENZQr1x30fG2N+RKGtllJKqT1Ll5fGHiSJ6nDz/x5vy3XhiU91ONMnecvzxOPuTfdz1uTTidkjX8zf1/kzL2RabDqPND1EyktxcNWhnDPtHZQ5Zfx9y81Fz7eMxVG1pwKQ8hPYxsYV6N492TfJCRmXMjuHTY6Ht/6SgIAZsflsTi3D77OwXSS/eswPXP60/lounl3PjPh+PLT1uqJkz5Ms92z8KR+fdy0AT2z/baH+XD6hcPB7krduxkDaa2Jj8gHOmvYTlrT9npUdf0fwmVtxOofXXsTj649nR4LCur4wIcJWGVWRAzig9lJqIvkdtoc03siGzl+zretOBJ+Gsv9iZvX/YA2SqITsGo6Yejfr2n9Ga/pRHFPO1MqLmFLxPjLZ59nafH6hu4MP7QGV5RdRW3XFoIv1vaCTFdveR8Zbg4iPMRZRZxb7N/4Rx8pv4onH3sykuptp7/whrreacOgAqiu/SDSyYIfvveizCNoG6bSQRQZ0jID8etRQ5BhCwyhGPFENqZXWAHFg5F1+lVJKDYsvAbeueZg7Nz5Owk2zX8V0Ltv/vzmoqnfEZHqsHsc4DCx/4BibN9Tlp6+OqzuAh7f9h4jdWbL8h2PZbEpvZt/y3ft/9ZaxOHXSmzh1UnEl/A/N/ho3rr2qp5OCEPCu6Zf1bEiYFpvVb/QtJw4R42GJELJsyuwkxkCA1zNtuSG1nHKnji63t+RJAHhikfTDBKS5Ze13+X/7X0PCK04GAJqz60m47ZSHqtmaeZm+o0FhM1jXB4/t6WeZVXkuR9V9iKPq+heOrYoeSVtmUdGrAmwcUwH4RO16Tpp6DeWh6UXPs6wI+1Rfzj7Vlw9y/2IRZzL71V/V75iIx9aWDxBIZ7/jnclbiUVOJh7r/XMKghRb2r9Fe+pOAknjS2+XDBFIuytZ33olc+p7x3xi0ROJFXqq7ionckK+08LA6XcTx4mcNKJrT3RDWQP3Ir1/Y22gAfjWaAallFKq2M9X3MUDWxaTLTSkf6VrA599/lf839GfYnZ5vnq+Y9l89oB3cNVLfyIXePmRHONQHopxwaz8FNsJDQcxr3waW7PtiOSKkjgv8KkJ7bzY6e40s2w/vjr/etYlV+CLx6yy/fs1pw9bEc6ZeiF/3XRzYa2cISBOzCnjqKr9WZl4uKirgY9Pm9uGJ6HChgdDIIZ0EEJ6uhh4bE6vJr+ceuD0rBCzXP615RvMKj+KuF1Jxu/sc/3Bdu1alIWKG75vTi9lTdeTGHMgllmCiIvgATa2CXNE4y/wMIStKmoi80e9XEUm92zPxoD+saboTP6+XwK3ZvsFpHNLegrcWghhIIsNGCyypNN/prktikMYY1zC4SOIxt6KMbs+kuuEDiIUPRs3/QBQaAtm4jjh4/JttF7HhjIC13chhAdsk8FKLyullCrJl4CmTAcVTozy0PC/0DrdFH/f8iy5oP///eYCj1vXPsz/HtzbMOeNjYcxNVbL7esfY2umjQW183jH9BOpDufLZNjG4usHn8+f1z/Ek20P0zdxcYzDgZX7URep3aX32el2IARUhfqXVXGDHJtS66gMV1Mbbij5WtvYzCmfX/IcwPH1pzM5Op3Htv+dTq+N+ZVHckL9mSxrv49Xu4rXSYkEBOIh2EhhB6wAjvFxJV9MFyDApz4ym22ZlX2SWWGS00HY+LRnn2Zp7gUsESImRlbyn1dObAIszIAaeJYJMavynT2PPT/Nw1u+w5rkc3iSw8IiZGqZXzGbEAnKQ/uxT/UHKQvNKvm+c14TGEPYLv257SopJMKlz/Wu0UvnlpJ2lyI9nR5Mz45em4AQQtzkd7W6yd/hmvxV06kYic4fUddwH5a9a3+fAOLVV5OLnEYueQtgiJS9h1Ds3D2mHtt4GUoC920RubDvAWPMLQOPKaWUKu3hrUv50ct3k/ZzBBJw0qT5fPWg84g7xVX4B7M53ULI2OTon8AFCKsSxSU0D6icwdcPLu6CuCHVxHeW38La5FbA0BhrIGR3EoiPLwGHVR/Mx+fsvFfkQE2ZrfxuzS/YmtkIGBoijVw8+1KmRGdw+4YbeLb1wcIoGFSEavjE3CtoiA6/hdec8gOYU96/Tdnc8uN4YvvNBANyOGMgEKvomI0ghQnZQHxmlR3Ek1ZVz7o6gAo7Tdh4PevbuneLVtohOvwoUdOFjUtWQkRNDksEMITtat4w+UfEnUZEApa1/oLX2v+AJy71tpAIoiSCKFkxLO3awAf3vZ2oXbrERTK3glebP0XGXQtAPDSP/Rp+Riy0e6a2o+Gj6d7U0P8zilMefwcAftBJU9sXCHePfgEukk9cDVhSSN4MdDcIM91JoaTx/HW0tl5OfcOtuxxnOv03Oju+hkgaER/XrqM6+hZMySb2rx9Deff9+pKY/Cd21OiEo5RSe5clbWv51rI/90x7Aizc/jLfePE2fnjERUO+zpRYLa4Uf9laGOaWD60MRM53+fTz19DhJpHCypiNKY9yp5yfHvkJGiK1lDtliAiLWxfzePPj+OJzfN3xHFd33KA7TN0gx9WvfpOk19Vz3S2Zjfz01W9xSsNZLG59oF+v1C63jZ+t/CJXHHQDxlg81byIJ1sWETIhTpl0MkdUHzas0ZXayAwW1J7H4tY7e3qhOiZMLvALbat6dRekyicfMLNsLmErwvr0Cjxx8AqviFv9Nyf0vt5jSiROwu3oWVuUkTC2CfHGKT+mMX50T+yvtF3P6o7bCOi9VrmVIcCQCqKEEJ7Z9lUMSarDBzC36v2AsK7zZjozLxJ4L/RrFJ90l/P85rOJxC6gJnIQm5ML8SXDzIqzmFXxFqxhJDR+kGJL1+0kzRxi8nLhU/IxpoxoeAHl8f8GYEvLR8m5hfPdG0YEcggBBqfPmkALiv7cDJDLPkIm9zK2VUVb1/Vkci8QDh1AbcUlhEOzdxhnNvs0He2f6bebNZN+kDa5lLq6G4f8fvdGg/5pG2O+DHwFiBljuif9DfmVsdcN9jqllHq9SbgZXurcQHWojHkVU/p9id2y5tF+yRvkpz2faVnJ9kwnDdGhFRitCpVx5uSjeGjr8/2uF7IcLphVvCmglEe2vUDKz/YkWd28IGB5x0beNjXfHOd3a3/HM63PkC00jV+VWMXTrU/z6XmfLplYLW1/DjfIFV3XD3z+tf3uko3us0GGlzoX88DWJ1mVWEW2UFrk5a5XOLH+eD4w64IhvaducytOJOGnSHstVIfqOaDqVBa3PsBLHY8X7S4NMISMhxjD5vQrZPwUVs96NoNAUeLX+9ocSXcrUhi5Mt29IMRnQ+pJJpfldz+KCCs7bsEfUC7EMvkkzhWHOqeNtkwz4NOWWcr6rjsIGw8RD4cMEeMVrU8UcdmauJ01XWGCwjRwc2YZa7vu59Spv8z3lR3ADzK0ZZdgmyiOiZDxNrGm7ftk/a0EksEmRrkVUB05lEmVnyQWPQ1jLFxvPZnsMxS3p8qPYmLixMMHgvufks/pa3vHj8hkFxJIFsiRzj1HZ+rPzGj4E7HI4GNCia5rijo6QJZs5t/4/jZsu3GH992bDZrAichVwFXGmKtE5MtjGJNSSk0Yv1/7GNetepCQsQkQGqPV/PSoD9EYzW8C2JwuvbsxZGyas0NP4AA+vf87qAmXc9fGJ0h6GfatmMrl+53LnCGMwP1t0zP8dMUdUGLnZCbI0ZRpA2BDagNPtzxNrk/phmyQZUXXCl7uepn5lcVr1NrcFryg+As8J1mcwCNUauBO4KWOF1mVeK0neeu+12PbF3Jm4+lMjk3e6fvyghzXv/ZJutx1hck7wZhqjqx9F2+dehkVTi2LW+8lG6QIBELGo8bO9qSaQpqt6Zc5rPpkFrc+2LPTtcOLEwl1lByFC8j3bo0YD7tn/aDL1sQDBPWfxDIOgocXJItfTD75qbGTWEbonsIUPCxxCQqRGSNFyRvkR1G672kKTcR8SdOWeYktyYVMKz+l3/M3J+7nxeYrMIBFvuafjY3g9qSoPoaOwKYr8xrTG47FFEZaPX8LxoSLNjoYA44pZ86kB3CsStZvORrBzffFEOmX5Ivk+yK42ScRSdC7JzKfqG5r+xKzJj9U8nMC8P31JY8bE37dJ3A7bXwnIl82xtQYY44xxpzc/TMWwSml1J7smZaVXL/qIXKBR9LPkvZzrE9u5zPP/67nOUfUzMEpMfXoScA+ZcNblO5YNh+eezb3nvJtHnnjD/nNMZ/hkOr8FJSIcO+mZ7jwqR9z7uPf4fsv3UFztgOAVzo38NMVd5MLAqR4rT8xO8IBlflSJC93vlyyWG42yLKsY1nJuPaJz8G2iscDIlaUuFNd8p7GGDrcbM8oX79zwEtdrwz2MfTz5w3fostdl58SLSQ9Iu38bvXnsIzNqY0f4HMH3s6+5SdhYaiws4XnFn4I+Pe273FG4wV9mtgLKQmVKh+bPyv5EiJ2oWdp948XtLCi7QYgv5GhzCndlsyTEGEzcDpcCmN/eb5YJT83AXL9WpJJ4ZppNqcW9ntuIvcaS5u/ji9J4jRTY5JUmyRRk8Qq8e4MDl3ZpT2Pw6H9CxsdBgpRXXYhkdAcbLuehtqfYYiSM9H86KVI4Se/8zEjEUSSUOKeWfflwqhcaeHwcZQaaxJxcZzBe6e+Huw0gTPGfAR4jHzLq28Wfr1idMNSSqk93+3rniAzYOQpQNicamVNYhsAF84+lagdxuozJRe1Q1w0+9RhbWIYaOBU5s9evYefrribNcltbM92cP/mxVy86Ke055LcteGpQkmRwvRgn+9Rx9hMjdVzbKFGXJlThl1iGs4xDhVORclY9i0/kBmxWYT6FJJ1TIj6SCMn1/1XT62wbiIwOTqTSdGZOCXuZRmbsiE0lvcCl43JZ4pGqoyBXLCZLre9cD9hXsVxxOziUcL8c1O05lYxv/I4QIhYLiETkBu0rZXglGg4L3is7vxTz+ND67+APaCEhiHErMr3YJnwwEj6PfKxCAZ8boGAKzY5cQox+ISNi53ffkHE7r/zd33XnQTiUm3SlBsXxwi2yfdBrTAZBiZUQoBj9ZaPsa1qqssvwZhYn2fZ+VZeViOu3wJAefztzJzyHPXVVxGETiBBmJQYugS6xMayKrAH6UVqyLf0Gkx5xWUYE6dfumJiVFRcjmXt/O/I3mynCRzwKeBoYF2hsf0RwPC70Sql1F6m3R1kisyy6HTz63Ymx6q58bjLOGPyYdRHKplXMYWvzD+PD84d2rq1blJqOKagNdvFPZue7pdM+gSk/Cx3bXySNjdRWJ9mcAM7X4S10NHgDXUH87MjPtnTveHImiN7dxH2YRmL4+qOKxmHMYZL532JMyefQ114ErXhek5uOJOMH+KuLffS6ZWTE4dADBZhjqk7ncvnXcWJDSeUXLNlGcPh1Yfu9DN5ZNsdg54zQMpLkvUz/Gzl//Knjb8jEAadlsz4XRxbdzZh4/R0p0gEkaKdrSL5QsCDcf3enp1Tyk7i+Cm/oD56FFG7nkmx49in8t2sSfwVtzBC1VdgQtAzumZISRiXCBDBE5uuIEpzUIEBykyWuJUjZlzKrQxlVop9Kt7c73q5oA0bl7hxi9YgmvxV+zzbImJPojzcv1dpXdWXmFT9fcLOgRhThSuGZGCxueMnLNt0HC2JOwGw7Voqyt7LtEl/pr76e+AcAPYUqsvew5zGf1Bd/qEBiSAYIlSWvatnyrbU3y3HmU7DpH8QjZ2DZTXiOAdRU/0TKio/PeifwevFULasZEQkY4zBGBMRkVeMMfuPemRKKbWHO6lhPiu7thTVZvMlYP/K3hIZ0+J1XHHoe3fpHo83vcQ1r97LxnQLteFyLpr9Rt454/h+I3ArE5sJGaeoxEgu8Hiu9TXOmnIkz7e+VkjwDL7Y+AJhy+HT+59HrM9IYMyO8Zn9PsPPV/0cr8/72ie+H5e/8HW8wGN+5f58ZM75TIn1rj8KWWHOmnIuZ005F4Cb197MpsxmvELZUNeLYmNzRM0RvGvGxwBoiNTzibmX8OvXru+pKxa2wnx6v8uI2DsenfQCj39tv5sqp7hvKIAvDg3RKdy96RY2pdfhiUuXHyFqZYvWtfniMSV2CDGniv0rD2dV15MAZCVMZxCjykojgG0cAmPT6kWJWR6RAesJRSCDhS8udmE0siG2gIZp1wPQllnJo5veR5VJFdav5UfUAmxsK0xd9HhClkdL+gkswgTkqI6dysEN3+Xpbf9LIvUoIkLMyha1QAsB2xJ3U1X7mZ5jjbFTaE/eW0jd+8uXUwkwEsKYEBF7Eoc0/rZ4F6kxVJadRyRyLC9teVMh6ezdmLG+9UtURE8g7EzueX5N+fnUlJ/f7zp1lZeT89aQSN1bWFeXIx49kUnVV5DNvcK29q+Qzj6DMVGqyt5NQ9X/8v/ZO+84uaq6jX/PLVO3981mk930RhKS0CEEYuhFelGIimBBUVTU1/KiqK8FEVFRiiBNqnQCoSWEAOm997a72V6n33LeP+7s7M7ObLKBBFHm+Xz4kNw595wzdyZzn/srz6MoDuHTtKEUFNyd8h34tGMgBK5GCJEHvAC8KYRoA1JFhzLIIIMMPmW4dMgJvFK7nKZoB1HbdKIais63Rp2HR+2bIjs4HPmO7Sxs2ohfdVPuLeCPW15KdJ22xgL8bdtrxGyLq6t6SpFL3Hkp5vXgCPYO9hUyq+xont33AftCTYkonUfRmV09MyHu2xu5eiHH559FbWQfw/2DWdm2nnUdOxJkbEPnFn687rfcdfRtZOtZad/L4pbFifHdsLBY1bYKW9oJSZIp+Ufzlyl/ZHtgB5rQGJ41rF+5kt7YGtiELVUilo5fjSHj0bXuIM6YnLNQhMLytoWYcYeGLstDrhbChYEqACQKGhPzL0Vis6rlSTTa8CqCiHScGwK2l6DtxqcoHFd0BWWeyTy771baLD8loiPRYSulk5AM2jnUhtYwxN/j+SmlTW1oCWubfoZXBBPESwAuLMLSy6i8bzE639HtCxu1BI3d+PUqvHoFhh2kKbIOKRUkVr/p29rAC4zqTeD8M9nTMQzMlSnXz5Gt8zO26A94tMFkuQ7s/NAemgNpvmMgaA+/Rkn2Fw/0cSGExqDCP2Pk/pCYuQ1dq8KlVWFa9extvBBbdsX3FaIj8AQxczeVxY8fcM5POwZiZn9R/I8/E0LMB3KBuUd0VxlkkEEG/wHwax4eOuEmXqxZwsKmTRS6srl86ElMzBt68JP7wJY2P137OEtathC2Yqgo2ImexB5EbIOHd73NFUNPTqQ9q7NKGZFdzpbO2iQipwmVy4ecglvVueeYG5lTt4z5DWvJ0X1cXHkiUwtGpOxjWet6frvpQSxpY0qLZS1bUJVIkkSIRBKzDV7b/xYzS0+mwFWYcvO30gjEAvH3lPyudEVnbM6YtONN26DNaCFHy8OtenodN4nZXtxKgJDtRo83FVhSwZRezh/89fh17dmHRFAbzaPa3YyIkyAF2ND2NOta/4UUYMkYLkWgSSeF6vR6qlj4ObrgclyKl9nD/sxL+35IkynxKxF0YWFIjYDtQVP0hBers77J23W30BheQ4FSn7Zez00YTe2pL/TqFXj1ngaIPZ1zMe1QIg3eH/qaJClCZ1r502yum45p709qkhBCZ2zpU2S5j4pfzy4MX+8xrgAAIABJREFUswW3NihNfR7Y0ogb3veFhexjYSZlDMOqRVWKUJXkukldq0Dv1dzR1vWPlCYGSZRwdDFRYxtufWS/7/fTjgMSOOEkptdKKScASCkXfCy7yiCDDDL4D4Ffc3N11fSkiNiHwQfNmxPkDZwatv4QtQyCZoQc3Zc4dvvkL/GL9U+yvHUbilDI1r38YOwlDIt7pLpVnYsrT+TiyhP7ndewTe7Y/EiSzpwhY4g+KUqBRFcCvNH4AvOb5pCn5/HlYV9heFYPIRzkGczu4M4kviEQjMkek7ZJoi+klMxrfJm59c8jcIjYsQWncknlF1CFyqjssVhIWg0/eVooXj8GptQ4u/yriTUm5E5jZdsH2HFCmaeFUEVPBMvGhHj0rFtXTSBRhcCr2MSkhwJXBRdW/ABXPKVX6K7klJIbeHv/b+m0k9+LLW0qfJMSf9/dNY/G8BosGe6XeilYDPL1/7l0xLb30pMTWCiofey7BBqlvlkp52qKm9Hlc9jb/E2C0aUgFDSlgMrCO8hyH4VtR9nW8lOagq8ghIZApSr/ewzKSXbxyPOeQX3nn5F9o3BCJdfbs2571wO0dP7WIXvSIst3ESX5v0YR6VPiEWMdkNrpKtCJGdszBO4AOCCBk1LaQog1QoghUsr0YiwZZJBBBhl8ZLxdvyZB3g4Gj+rCryV3N+boPm4/+kt0GiFCZpQST+5BU5FNkTaer53Pls7dVPkHMSlvZErML7WuXOLTogkyYkiDplgTt2/5Db+a8FsK3YWsad/I9kADigDRK7WpKirXDL2G95re573mD1CFyqklp3BM/rSUCN6y1oXMrX+OWC+ZkaWt76IrLi4afA0e1cPnh3yZR/fcT5uhIzFxKW5GZx/FiUUz2RXYwAfNc+g0mvGpGjGpErNj5KmpNXDpIcnXc7hkyL1k6ak+nsOzT2FL51vsC67AlBEUNIRQOb3sFnSlp1h/S8cLmHHy1a1T1xcurQSvVtTvTnLdo1CFFysuaBuy3WQpYYhfW1X4cKn5jCxIX9ivq0UML30C02rDliF0dVDiem9r+V+ag3OQxOKSIZI9bb+gJfAoLq2Y4qwryfeeg9c1mpKsL9EYeDAhLSKEi7Lsr+OJuyl0hebQ3Pl/ScK7gdALCFRKC25PuzePPpFQZBGOWlwPJEaGvB0EA6mBKwc2CCGWAomWKynlBUdsVxlkkMF/FTqjEVbV15PrdjOptOxTb0KdDm5FR5BOKSsZHkXni8NmJtKnfZGj+5Iic/1hb3A/3119JzHbwJQWW7v28nbDUlQFQKIrTqTFsBVsKVCFszNV2CnOCs44k19v+j2/m/QrXqidG2/scKEKG0XYSCkwbZ1H9vyTHb3Ee7cFtrOmYC3XD7suMVeH0c4r+59KIm/gRAPfb36LCyquQhUaxxaeQHXWcJa0vEfICnFU7mTGZI9nSctrzN3/KEY8NacJF7mqlxF5pxOOvUXEajjI1YmL6Urwa3lpRwihcE7FbdSEVrIrsBiPksXo3FnkunqaV2qCq9gf3hCvtxN02W6ylUgSgVRwc1TRzw+4m6HZZ7Kh9R4sK4qThFbosnPI1bKpzDqVPPdESv1noioHbvzQ1HygR2rEtAM0BV9BJsiTRBcWCiYRcxMRcxOByHLa/fMZVvh7KvJ/SJ7vbNpCcxAI8v3n43NNSMzX2nVXimuCJEJX6F8U5/0cRen5XkppYxir8LlG0y70uNds/Lrjwec+EZeemuLPoAcDIXAH/mZlkEEGGRwAD6xawe2LFuJSVSwpKfL5eOTCSxmam/7G+GnFORXTeLN+dYqunFvRKPHkURtqocCdzReqZ/LZwcd95PX+vvMFwlYkQRhtbGxpoQuLYk8oaWzIyEZFw5BhhEhPMYWAllgza9s30xztdp/o7nh10oweRbA9sINYH+eFpa3LOavsTCq8g3hq36O837wAVfS1T+rZZ9SK4NOc5olidwnnDbq4Zz4rzNz9j2D0EqA1ZQxsKPUUU5T9ORY3/TURFYNeUUYhnNo4nMxv1G7jnzuv4NzBt5PvrkrzngWV/qlU+lOtoKSUzK//A1EbvIpzfcLSA7YgS4mgIPHrQxhd8H2KfaemnN8buuLjM4MfZmXT7dSHPkAIlSFZZzC56GZcanptvoHAtNoRokcw2HFpsPtEKIO0Bl+iLPvL+Fxj8Lsn4XdPSjcdllWffiEhsGUHCg6BM4xttLZcjW23Awp+YWCrwwiau+NdqFdRnPejD/2+Pi0YSBPDAiHEUGCklPIt4SjqHbyAIYMMMkgLKSXPLl3PIwtX0hmOcNKoKr5x5omU5334H+JPKhbX7uOOxe8RtSyilhPR2dfRwewXn2X+NV/6j43EdRohHtjxNvMb1qErKhdUHMvVVaegp3EjGCgm5lVxddWpPLb7HRQEilCQSH47+QtMLTi44vz2rjoe2PkqWzr3UeLJ59rqWZxQOI4FTR8wZ/8bdJlBJuSO5YrBF1LsKWJ9x/aUaJ+CJEcPpUTXclwhJud+hjcalmDYMTxqqh2XlBC1YXX7BsbkjKC5qSVNC4ZFLI3lli1tNnZuYldwK4tanK7RbhLVdy9ZWjbeA4j81oV3OqbufRwETBljc+dSrh/+S2pCy9nV9W7S7kwUFCnj0bLufRkEzSbm1HyPzw17OqFXNhBE7QBdRgM2CjGp4orX4IWkm5Dt4dzKeyn2TjjILNAWns++9j8RNWspdI3n6Mr7yXJPIGY1sa/9N7SG30YVPsqyr6E8+1rEAOoLu+HWyhBCh3jUTBO2Y0jfa4zTNhGlM/IBPlf6RpNueFxTCEbepG8cWQgvqlLizCdtWpqvxLbrk8apso7q0pdxuSYPeP+fdhz010YIcT1wA1AADAcqgHuAQ1OhzCCDDAD47UsLeHbpOsKGcxN8ZeUmFmzayQvfvZai7P8uZfFH1qwibPbRygKaQkHWNzVyVMmR9zGUUrK8oZZ1zQ0Mzs7htMph6MqHfwaNWgbXLbmbhnA7Rryg+x8757GmfTd/mHJgKYWD4brhszh30DSWtmzFq7o5qXhswq3BsE3ea9pMY6SD8bmVjM+tTBDg7V11fHPFn4naMSTQZgS4bf2jnFw8mO3BzYl05QfNS1ndto7fTboVr+pJalYA8GrpDclVoWDIZryqIGIqmLZAU3oaG6R0DOJt6aIt1kGFrxRd0TFsM2HL5VZcTMitYntgPZa0MKUaN4yXqEKyL7STXcHNibSpKRV0YSfkQQB04eKY/BnMa3yDcu8gxmSPT6nz86pZSZ2nveHXclGEypCsM1nfuR5kMEGwAHKUSBqvWEnMDrI/vI5BvvSRp3TQhNv5fKQgJnUMqaIJG4nAq5YPiLw1Bp5jZ+tPsOPRwvbIAjobljK2+AG2tdxMzGoBTAxgb/vvCcTWMqrozgHvUQiNYfk/YEfrL7Fl2PF+6Nsli9N1LNM0GvRG1NiBpo0B3sEx0Ir7tQovRbm3JohlLLYMKbtIcYGQUYKBh3AV/HHA+/+0YyCPizcCxwJLAKSU24QQJUd0Vxlk8F+KlkCIp5esJWb23GAsKQnFDB5/fzU3nXXSv3F3hx9tkfRpMFUIOiKRtK8dTkRMg2vm/ov1zQ2Yto2uquS43Dx7/tVUZKVa+0jpCDUoB4gMvt2wlpZoV4K8AURtg1WtO9nSWcvonPT+lwNFmTefC/qkSGtCLXxlyb2ErRiGNFGFysS8IdwxZTa6ovH3nXMS5K0bMTvG+s61STdkiSRiR5lT9yYXVEznqb1vJJE4TYi0TgUx22B1+xo8moJbNQCJLR0JDgnEbJWopaEIi1Xt61jRthoQFLnzMW2LAnceE3IGs7T1LXRhoAsAk6itAgKkxcq2pdgJkuDEfUypoAgbRUKBqxhTCt5qfBNLmqhCo8BVyPdG/wS/1qNFV+oZQr6rhKZobZLshS7cnFh0HgARK4AlFQyZLJfRV96k5wVBzOpK/1o/0BQXw7KmszOwEEvGkCgYUkETbiYVXHrQ86W02dP26wR564Ytw2xv+RGm3QGYScdbgnOJ5N6MRx/Sax4JyH6jh2XZV+BSS9nbcTemsRJIT+L9+lH97FPS0P5z2gKP4nRVaChYaEoBLm0EBTnfxu+Z0TPebie9FIqNbbekXSOD9BhIPDgqe7nZCiEcE7YMMsjgkLF1fxMuLTX6EzMtlu2o+Tfs6MjijGEj8Wipz4mGbTO5rPyIr/+X1YtZ01RPyDSI2RZBI0ZjKMC3589JGmfZNn9c/R4Tn7iLYY/8jlkvPMAH+/eknXNN2+603aIS2NR5ZD7Dn6x5gtZYgJAVxbAtIlaMNW17eGK3Y16+pXNfyo+yplhpf6gtabGpayuXVn6GU4qPRhcaftWDS9EY6h+Oq59CeMf6yYgbtzvu7U7UTSCkPxEJi9pRDGliSIMOo4vPV13C90d/hWWtbzmp0V7m727FcroyBZjSjNdiyZ7UqRDYqJioNMXaaY21E7UjmNIkakdojDbw1L5Hk/YphGB29U8odlegK27cig9duDij/HMMy3KiXlVZk9KSNQsvShpfThuDMl96ApMOuzpf4/ld59MSfok8NYhHsXEpflShMzp3FpPyLz7oHKbdhmmnJ41RqyaF2IGj+xaIrQdASoua9j+yYt8klu4dzpq6WXSE3087X4FvBpPLn6Ei91tpfUkV4SHLk1rnBxCMLqQt+E8kESRRpAxjSRvDNqkofiqJvAG4XMcgZRrZEOHD6z0n7RoZpMdAInALhBA/ArxCiFnA14GXj+y2MsjgvxPleTkYVqq+lyIEQ4v/+4r6rxx/FE9uWMvezg4iZtypQNP40UnTyXIdulPBoeJf29YTtfraXElWNdXRGYuS43LIyi+WzeOpbWsIx8du62jm2jefZmblCK4cOZFTK4YlonKDfUW4FC3FPksVCmWeZDPxw4GWaBc7AvUphCNqG7xcu5xrh82g2J2X4stqSSVtnEMgKPOUoAqVm0d/nmurzmdfqJ5ybxEl7gL+tuMvbOhcTzSeypQSLJle/gLApehMKZzEoua1RPp0jUbtGG/VL6QuvAZFRNGwsRKpUweqkFjxv0sEQsq0ARqZSMb2vGhJk1Vty6D6a0lj81zF3DTqjzRE9hCyuqjwjsCt9kh75LvKmZJ/DqvaXkt0qurCQ4F7GKHYiiR3BQChFOLux4y9L3Z1vs7Spt8kdNskMbJVN8Oyz2B8wefwaY4kSdhsZUv7KzRGViAwKHSPYUTuheS4HBFoRwA3fSRYFVnYMojsEy2T2LjjIrl72n5JY9eTyLjtVcTYztamLzO29Amy3OnrzIqzrqWp82Es2YzAAgRSeBmS/38owpP2nPbgU0gZSvOKJBRZRJZ3RtJRRS0gJ+f7dHX9HikjOFE7L5o2HK/vojTzZNAfBkLgfghcB6wDvgK8Cvz9SG4qgwz+W1FVnM+EwaWs3bs/ici5NJVrT0n/hNsb+zu6sGybiryc/4gGAK+u88Lln+OZTet5Y8d2Cn0+rp04manlHy3NOFCYfZ3Ie8GynevfFYvyxLbViSaLxLnS5vW9W1lYt4vjSiv5++mXoCoK5w6aykM75yX5jqpCIUf3ckzh4ZE9iFgx6sMdFLmzsaSd1lwewIy/h2urZ/HLDf9MSofqwk2e7iFodSRZWmlC47zyHtPzQncuhe7cxN+/OvxGlrctY1Hz+2zq2krQMrARqCK9sLBAkKdn97NHSdjayMq2IIpwCLwmbIxenanJCR0RT2GnnQqBRCB79YmSoHUp+xKCMm9V2tcAPlN2HdVZk1jV9jqmHWNC3gyCRhMfNG9GEELHQkpBTGooMsr+8BYG+Q5cxA+wtvWeXqK7DiwZpSY4l2NKvglAU2QTc/fdhCCQcIRoiqxgW+czHFv8Y6pzzmJdy3102Ro+kaxbpwgvQ/K+xZ723/VxQNDwaJVkuSZi2l00dv0zheDZMkJN+52MKX04Zd9SWmxs+ha2bHI8UoWTHhUYeA8g55EumuZApK5vBzCtenz+2eiuyQSDD2HbHXg95+LzX4bohyRmkB4D6UK1hRAP49TASWCLlKnSjhlkkMHA8JcvXMiPn36dhZt3oQhBns/Lzy79DKPK+xfy3NncyrefmsOe1jYEguJsP3+47ByOqij7GHf+4eDVda6deDTXTjz6Y1/7vOrRPLZ5DYbdQ84EMCq/iHyPE5GpD3WhCZVoP9ZPIdNgScM+5u7dyrlVYyhwZ/GXadfz8/VPURduBQnjcyv52cQr+9VmGyiklPx9+zwe2fUuCgJT2pw3aAplnjz2hpqTxroUjTPLnaL6k4uP4usjLuD+na9i2CYSOKv8GK4bdhYP7HqMpa0rExE8G5sXaufwtRFfwqum3jAVoXBswXEcW3Acz9e8zIt1r2FLA1sqKCL1GkkkM0tP442GxfTlUj41hiScaCpINCNgYUmn39HuU8kjUVAQCeeE7qNe1UDrRSLDloYh3UzIGXhjQW8IIRiRfQwjso9JHHu55rdx31QdQ/akEhWgNVYzIAIXMtNrzIWtZqS0EULh3f2/wJJBdJHcNGDJGEubfk2uayjbOp7Ekm6kYuJXuiObgrLsL1KeMxufayzbm28hZjUCNjme4xlZdAdCCGLGfmzMtJS6K7o67f6aQnOJxt7H3auRwfm/wb7WbzK6fGHa83J9FxOIvJMShZOY+N1OTa+UFo3tP6cj8BgIFbDIz7qBovx7/iMeRD+pGEgX6rk4Xac7cH77qoUQX5FSvnakN5dBBv+NyPa6+dPsCwhEogSjBiU5/gP+iMVMk88/+DRtoXAipbOvrYMvPPQsb998HXm+zFNrX2xrb+a+9UvZ0NKAqkksKbGlxIWGW9G489SeWptB/hxM2b9tFTgk7uVdmzi3yrmBj80dzJMnfZeWaBeaopI7AOHcgeD5fUt5ZOe7SVpwc+pWMatsAi2xLkzbJmobeFUXg7z5XDNsRmLcBYNP5NxBx9ES6yRH9+NRnRT1Z0pPZVX7uoT2miUtVrWv5y/b/s4tY75xwP2cXX4Gy9tWUx9pIGJHETg3XwAFBVWoXDL4Eordxdw04jp+vfnPSabyPjWK7IcYq0hCUkVK57vffY4QKqcWz+S95nlxORGBR4mhK8mxOq9q4hU5XDlk9qFd5AOgzDuSbV2LMPt4c4KkyD0wf1u/Xk7ASK2F9GmlCKEQMpvpMvcn2Xn1hiJUNrY9jCUNQNBuZ9Fh++POuDoFFAKQ6zmWKRXvYFiNKIoXLZ7iDRm72N52V/xi9nkXsn+P2sbAHHQi6ZtYzBoMqx5dTX1gzPaeSZbnNAKR+XERX8eRYlD+nSiKj2hsFY2t38YwtqEgsSSAoC1wP6paSEH29Qe4mhkcCANJod4BnCal3A4ghBgOzAE+MoETQpwF3IWjK/d3KeVv+rz+BeB2oDZ+6C9Syr/HX5sN/CR+/JdSytSYcAYZfIKR5XGT5TmwcjrAvC07iRomfePelrR5ee0mrjn+449sHSm0RcKsaq4jz+3h6KJBH+rpfEn9Pr7w1tNELbMnIBQvmkeRnF09ktEFxYnxft3F7DFTeHTzKsJW+g48AXjjzRhh02BFyx50RWVK4ZAPLUnSFguytq2GApefCXkVCCF4qA95A6fW7e2GDTwz/Vs8tms+rbEAM0omcVrpBLQ+a6uKSkmfOryX6l5LEs4Fp2FgXcdG2mMd5Lly6Q8e1c1tE37EyrY1bOnaRqGrkCG+cjZ2bkRTNI4rOI5B3m7nAYELNxGiCW9RiUiSAemGpmicXHQ+r9QvJCajqPFPShUuzi49h4sqP8vxhSezsm0JpjRY2fYKVh+SLQRU+UrJd6XaXH1YHJU3i8XNT2FZPcbtqtAp9YykzNtj6xSzQ9SH1qIpXsq8E2iJ1tBu1FPirmJywY0savwZVi8SqAoPkwqcOj1F6M71SRDW5D3Y0mJPYGEijQnOdbRQUVBRexnNCyFwaT1SPB3RNayqn40to+go6DKNLIiavnlIFZ54zC5dgk0iSF+zKoTC4MJ7CUUX0xV5C1XkkOu/BJc2mEDwRVrab3YkSuK2aioQQyJlmNbOv2YI3EfAQAhcYzd5i2Mn0PhRFxaOKMzdwCygBlgmhHhJSrmxz9CnpJTf6HNuAXArMA3n27Yifm7bR91XBhl80tDQGSBmpT41RwyT/R2d/4YdHRncvW4Rf1rzPrqqIqWkwOPjsVlXMDT70BoDfrzo9R7tuZ5SKQAM2+Kl3Zv4+lHHU53Tc+P/4dQZFHn93Ld+Cc2R1IJsj6px+chJzK3ZwI9WvogaF9nVFZW/Hn8VRxdWHtIe/7Z1Hg9uX4hLUbGlpMiTzT3HzaYtFkg73pRRvrjk9nidmWRNxxYK3F6mFow66Fot0fQ/i5qi0WF0HpDAAahC5ZiCKRxTMCVxbHzu+JRxbbF2pABkT7tDl+HBp8ZSUnluxcN5FZczKmcKj+99itpwDdlaNueWn8OsUkditNJXRaWviobIPta0z8WSqeLBnWZryrGPAo+azTXVd/F2/d/YHVyJKlyMz53JqaVfSozZ3PEa7zXcGRcLtjGkQcD2IYQbU5qMyT6R40tuZW3r3wgYdfi1MiYWfpWq7DPia+RS7BlHU2QNqkgnamwQk+BN8+wihEJlVv8SrFtafoYdF+U1UJHgkDgcnT5T+BiW86W055ZlX8a28Mt4CCdLz0jwuSejqf0TZSEEfs8J+D0n9DrPpLXjh0gZTnz+CU9cnDiuZR/ez+/ThoEQuA1CiFeBp3HI0mU4ZOtiACnlcx9y7WOB7VLKnQBCiCeBC4G+BC4dzgTelFK2xs99EzgLeOJD7iWDDD6xmDS4HE1RU7pXfS6dqUMH/5t2dXixsG4Xf1m7iKhtEY3XqwUDHVz22uMsuezrA47EhU2DnZ3xm0If8tYNBVjSsC+JwK1vr2Vpx0a8uSEmFvnY2RwGU8dGYkmbL487hsHZ2Xz9rUeJ9Ok+veGDf7Lg7O/g01zUhlr585Y3WNi4lZhloaLzmbIJfGvcTIo9jtPGuw1beHjHe8RsM9HJWhNs5aZljzE2p4JVbbuT5hdI3HqMcB8O/5O1/+Dpk35K9kHSt2NzRtEQacTqU6BmS5tsPYuHdj3JktYVqELltJKTuGDQWehKqpTEwTAiuzqlUzZiuwiaWeTqYTRFQyAQKHyx+oeoQmNszhh+MeHWA85b6CpL2yAhEATMKLes+SqDvJVcOOhyhmV9dPPzPFcZlwxJ7yDZGt3Jew13YsloUoTNJzppt32AYEvXIoo91Zw/9F/9rjGj/Fbm7LuRmFWfcIxQhIqmeAiajp5fVKq4+6Q7pxT9gJbQfFZ1Poxhd1HkPYnh+d/Cq1cgpU0gtqnXaIGJlmi1UYSHIu8MKrIvT9mPLaMEo0sQwo1FBLXHWwxNLWZI4V8PctVSYZq7+zRZxGcUoEqHwHlcqQ8CGQwcAyFwHqAB6DZra8JxZTgfh9B9WAJXAezr9fcaIJ3B3yVCiOnAVuBmKeW+fs79eNraMsjgY8akwWVMHTKIpbtrEpE4l6ZSVZjPqSOr/827Ozx4ePPKtOnLxnCA3y9dyC3HTR/QPLqioiuK01Hacw9Kgqoo5Lt7JCVWt+7j+kUPE4mv3x4L4fVrXFQxieH+MvJ8OvXRdu7c8CZmGoV/iWR+/VaOLRrC1e/9lS6zpwPRlBav1K1kYeN2Xp55Izm6l8d3LUp5rzaSmlAbXxn5WTZ11hK1zAQZ8migCTXt2gsa13JexfEHvCZnlc5kYfNiLNsR4AXHFeGSivP4xcY7aI62JOZ+sXYumzu38eNx3zngnOlQ6StnWv5EVrStSzg/6ELDpQzlO6O/wp7gJjyqjzE5R6MfxHS9NzRF58yyq3lt/2MJyQ8Q2FLSEgshUdgW2MRd237NN0Z8n5HZB280+LDY3DEHOw0pAacxw0DDlFFWtL7MCUWX9TuPXy/h0uon2R9aQUt0C5YdxJRR3Gohq1sexpZhLDRCUnVSqYBQ/ETNVewKvJCIsu0PzqE5vJATBr+MSylEFV6sNJIeivAyrfwZslypBFdKyeaGawlE1yKJEMMh2rrip7rgd+T6zjgke67EmkpuWgIHcZlm4aU472eHPG8GPRhIF+pH84bpH/00iifhZeAJKWVUCPFV4GHg9AGe6ywixA04VmAMGTIk3ZAMMvjIsGxH6kFJq3/w0WBYNsQkGD31LKoJvzz/M2jqR+t6PNyQ0mkY0JRD21d7NL1jA8BDa1dx8zEnD2hOTVG4ePgEntuxPkUWJDFGKMyoGJb4+x82vpEgb92I2CZvNq5lq7+WjR11mLbt2AkJ2yleStIiswkYER7b9X4KMXM+L5suM8xze1bxhREn0mH0506hUObN58Hjv8q9W99ic2cdQ7OKGez38WbDspTxprQIWv1fN4DNnXv53up7kdKHSw2iKxZZmp+vDv8cUTtGe6wjiRga0mBbYCfbA7sYkXXoDwc3jfoSb9a/yxsNCzFsgxMKp3JhxRn4NS8lng8v3Hxi0dnku4p5p/F5Oo1W2owAActC9upgNWSM52sf5/tjbvvQ6xwMYbMjyd2hGwnh4fhdKGql00VLhiJUKvzH4tOKeXXfN7ClgSWNOHHvnsypfVOFm1HZZ1DX9c9ebhUANpYdYm/HY4ws+DaDsi+ntvNJbCK91vEwJOdLackbQCC6gmBsfUIvDpyHElNKLKwPRd4AVLUYj/t4ItFF9HZ3kAg0fSKDCn6HxzXxQ82dgYOD/iIKIaqFEH8QQjwnhHip+7/DsHYN0LtwZDBQ13uAlLJFysQj1/3A1IGe22uO+6SU06SU04qLi9MNySCDD409TW1cd/czTL3lT0z7wZ+45ZE5dAQPr0XUE4tWs2p3HVZMokRBiYIRsfjRU68f1nU+CkKGwf/Me4Mxf7uLUXffyYVPPcb6xvRyCulw1pBR/fq7WKakMZi+Niwdbj12JqdWDMOtqnhV5xlVEwo+TWeQL5vHz7gKt9ryAVLyAAAgAElEQVTz7LqpfX/aeVqjQda11RC2DAxpYcYLwhWlr4cjHF88jJWte9JGycCxolrW4jg7nF42Dlca03tb2uS53Ny342VWdqwlTAv5bsH0kgm4ldQCclUoTM0f3e91sKXNT9f+g6AZIWRZtMc8NEX87A+56DAkW7t2pAjvgnPz3hlI70JxMKhC4azyGfxh8k/585TbuHrohfg178FPHADG5kzjayN+xc2j76LLFEnkrRu14X1pzjx8qMo+Ca0frTJD9uzHlFEWND7Srydrb8zf/1OidieGDGFjIDETqWZd8aMKF0OyTmZ49vEoIvV7YBOjPeIQ/OH536XIdxoKLlSRjYKLEt9ZVOV9vd/1g7F1yDT7tGWQQHTVQfd/IBQX3oPbdTRCeBAiG4GbvOybqSx9LUPeDgMGkkJ9AXgAJxp24F77Q8MyYKQQohqny/RK4OreA4QQ5VLK7l/XC4DuBP/rwP8JIbqrm88A/ucw7i2DDA6KznCEz9/1JJ3hiGPmbUnmrdvOjvoWnr3lmsOmb/SvpeuJGKmG8HtbOqhr62RQ/sAU4o8EbClZsHsX/zPvDZrDIax47czaxgaufO4pHr7gEubv2smqhnpMbMYVl3DluKMYXZiseXf1qMncvnIhUdvsCT4ARASGavL7VQs5a+goZlYORz1IJM6j6dx3+sXUBjrZF2hnSHYe+4OduFWN8QWlCCGQUrKkfh/3b1pCyDRIN6VEEktzY1OEk/IEgVfVubxqKkOzChjqL2RjR21aiyYNjWq/I/9wZdWx3LN1fpLcBoBtCb614q90GEFnfilZ1LyJ7V11HFc4liUtm4jEU5MexcXppZMZkT0oZa1ubA/UEbAijpeocBaxbIWIHeOVusWcUTYKl9CJ9UlzKagUuwtT5tsdrGF+4yIiVoTjCo9mct64FCP5jwOa0HArbiJ2avQxRz+ybibVWaewwfMCTZHNmN1OCxIi0pVEKG0slrY8T9QKckb51/qbji5jP13GflKM3bHJ0YdwUukt5OiD8evFBI1d2Gl8SgUqPt2JlirCxYSSPxI1GwiZe/BpVbi19Nblweg6moLPEja6FcKSoQgvbu2jZa1UJZ/ykhcxjJ1YdgO6Pg5VOXDTTAYDx0AIXERK+afDvbCU0hRCfAOHjKnAg1LKDUKI24DlUsqXgJuEEBfgOPa2Al+In9sqhPgFDgkEuK27oSGDDD4uvLxsU4q8h2HZ1LV1snxHDceMOLTOxP5g9+MmIESPm8C/A7aU3PjKyyzYs5uwbaTcA6KmyeXPPokt4rcnAUv21/DEhrX8fPrpXDGux1vSp7u484TzuGn+K5iK6aQpLUAHW9g8t2MDc/dsZXJROT+ddjqVuXkHteKqyMpJGNZrikJnLOKkd4Xgfxe9xTO7VyDdMRQhEEKmdN55Vd15Xz1HAUfo9sTiYWTrXi6tOpqTSoYDcO2wk5lXvzFJBkRKsKVTm3fVMEcwdm1bLUgd27YRwqF7tq0gXAZdZjRODh1Y2HSaIWaWTuH00sm8Xr8cRQjOLj+WEwrHHfD9G7YJRNAVu6f7T7UwbIEtbaYXn8CztS9Dr7SvgkKW5mNSXnJx+Wt17/DY3ufiIsGS95tXMClvDN8dfcNhJXFdRjshq4sidzmqSH97UoTCzNJzeLPhFWK9IoguxcXZZZ89bHtJv7bGuZV3sKPzbXZ0zUNXfFT6T+KthscIm8niDKaMsqb9dU4tmY1bTd9oIg+gPygQlPt6JIL8ejU5rol0RFcnORwIoTM0N1kLz62V4u4lL9IXdR33UtvxR2wZw4nLdJcF9Hz3BBpF/sNzPXV9GDrDDj4wg0PCQAjcXUKIW4E3gMS/Finlyo+6uJTyVRxrrt7H/rfXn/+HfiJrUsoHgQc/6h4yyODDYnt9c0pkDBzCtbux7bARuPOnjOG+eUuJmsnRoOIcP4ML/n1Ps+/s3sXCvXsIm0baYgxTSofc9ukGjVgmt747j7OHjyLH3VPMfs6I0QRjMf7v/XcJGwYRTwxEzy0lZBp8sH8vn33hnwhT8LkJk/jxyTMSHqXp0BoJ8Y2FL7K8sQZdUdAUla+MPY6nt62BrJhDbFCwbTs5NWrqTCmqZlnbjhTPU7A5rmQo14+cnhRlHZVTzu1Tr+K2tc/THA1gS4ktBaal4FEVtnU2UuHLZ2dXMzHLxJY9yrS6auF2hTHTcPWobVIbbubKoTOYXjLwtFN9uBGEnSThAOBSJDNKJpGtZ/G/427hb9sfpC7SgEQyKms4N464LomUdRhdPLrnWYxeMh5RO8ra9k2satvA1IKBm7z3h7AV5J97/sjOwAYUoaKgcEHFF5lWMCPt+LPLLsSyTeY1zUVKiSpUzi2/mBMKB9bs8lGgCo1RuWcyKrfHjuztxn+mHasIlS6zGbeaPpKVrQ/CqxUQMJLT+KpwMSLnzJTxk8vuZmPTT2gKzUcgcKlFjCu+rd/6tnSImfXUtN+JpHf6XOL8I1YRCLz6CIYX/QFNzUTLPskYCIE7CrgGp3mg+3FBxv+eQQafWowdXILXpROO9S1cF4w8gC3WoWL2KVOZv3EnOxtbCcUMPLqGqij8/upz/q02NK9t20rISN9llkA/Uh6aorC4dh9nDEv2WLxs3FFcPGY8z2/fyM+WvkXA6OOzKCCKgbBUHlq7ijnbt3L2iJGYqsXKxjoGZ+XylYnHMqXESS1eN/9frG+tx7BtYrYFGPxh7UJsxULvJpeALRVsyyGclilw2W6uHzmdxg0d7Ao0JurfwPnxe2D7u5R5c7igMllE+aTiUbx22i2cP+8v7Am00E2fuswo31n2L54+9Xo2tNdh0xPxE8Im1xtO7/8JuBSV6qxDt0x7r3lN2uOKUKjwOtUnVf5KfjvpVjqNLlSh4tecSNGKtvW8un8+ATNEmbsIVahJBA4gYsd4v3n5YSFwj+7+PbuCmx2tt3hK9/mav1PoKqU6a2za93BBxWWcXf5ZgmaAbD2734jdkUDQbGJD2+M0hFeRow+m0FVAh9FI31SoLW1y9PQpTHB+K04rv425Nd/ClhaWjKIJL3muKsbnX5EyXleymVR6F6YdxLJDuNSiQ/4NaI+8ixBKijA42BT7L6cy/xb0A2i+ZfDJwUC+8RcBw2T/jrUZZPCpxHlTx3LP64uJGiZ2/NfQpamMLC9kUtWH77jrRlckyvLdNfhcLh756uV8sG0PK3fXUZ6XzTmTx/zbLbS8mo4iBLZ0uk+BBCFKSsb0Ikq94Yk7G6xvaaCmq4PxhaVUZueiKgplWVnpF5U9E9tSUh/s4sEtyxPzb2hpYEHtTn538tmMLyphU1sjRp80syltVCVdWtqZRBMqk4sGMbWkksfyr+Pk13+Tsv2wZfDA9oUpBA5gQ8d+GsIB7F5nKcLGllHu27qAdxq29bkO6T0rwUn35uoeRmUNYm37dkJWmPE5ww+q/QaOi0L3PCLxJ3CrOl4t+buTo2cn/vz03jm8UPdmQgpkd6CmXzusFW0bidkGrjS6cVJK9oT20BZrYai/igJXal0dQFusid3BLSlCvYaM8k7Ti2kJXDd0RSfPlV7o2bBj7AxsxEYyIms8eppGkA+DgLGfl/d+AdMOY2PSGt2GInR8ipeQ3fNJ6sLNtMLP4lIO/O+02DOWy6v/xY7ONwmajZR6JzLYfzzKAbo/NcWPpvg/1P4V4SF9/6KKpuZmyNt/EAZC4NYAeRwG94UMMvhvgs/t4vGbr+b2FxewcOMuNFXh3Kljufm8kz9yZOypZWv59WvvOK4EgFtTue+ai/juOaccns0fBlw2fgL/2riBiGkmBx4EnFQ5hL1tnezrbMdOcx9SFcGYwiLOf+kRtrW3oAqBYVucVz2G208+m+PKKvuXDTF7jks9mZxJIGya/HTRm9w98wJ0RSVipUlzW0paUimAcwdP4FfHOl6pUdtMkofojZZoMO32miJdvdK6Ep/LSBDGhS2rsITA+el1xihpPDEFEl21UIQgZHdx9ZKfogsNXdEwpckXq87ns4NnpF2/G2eVn8AHLavp++ytABNy09cjdRhdPFf7elK0zcRMe7uX0iGyC5tWMLM0WYuu0+jkzq230xhtRCCwpMXxhSdyzdDZKTVzXUY7mtDiJvLJaI81H/A99octXWt4ZPedPXtF8vmhNzEuZ+oBzhoYVjbfS8wO0jshZcsYJbqXmBhFQ3QXXjWb4wsvY1rBBQOa063mMC7/ko+8t4Eg33s6u9J8oRWhU+S/+GPZQwaHBwMhcKXAZiHEMpJr4Ab2zcwgg/9ilOVlc8fs8/p93TAt/jF/Oc8sWkfUMJkxfhg3nXMSRTn9Pz1v3N/Ib+YuIGpaibq3YBSuf+Q5FtxyA7qa/sm8NRjij29/wFubtuPSVC6dMoEbTjkGl3ZkUktHlZZy8wkncscH72Epkm7n0UtHj+dXp82iprOTq599mtZoiBg2SCd16tU1HjzvYn74wetsaGlM8rh8ZedmxheUct2Eafxj1qXMfuMZbCkJGoYT5bMBrxW3bCK9WK+EmGWRrbqIiQgur4EQTpenGdPQUSn0+mmIdKB7eoiKrih8f+Isrh3Royee5/KRp/toinYlvXcBTMx3XDA2t9fz/RVPURttQgjB6OxBibo5j26iKrJX+lWiqxLbtohZzudiWBq2NHulUB3y5rxFO+FjamBixMnoQ7tfYXROFWNzqljcso6Hdr1CY7QBBRu/5uWsspM5vfQEVGGmiZ3FCJphcnQnyiml5PX693mx9m3ajI4Uz1EQTsoXkoisJQWGNFnetiGFwN2/8x7qwnVJxulLWhdR5avi1JLTksaWegZjpen2VdEYmXXo6dmg2cVDu36P0Ye4Prr7j0zLn876zuUAHJ13EmeUXYqnnwaD/rA/vJx0ggyWjHDpkB/hP0DK9JMAVcliVPE9bG36Kt3/cKQ0qMz7H3yug1uzZfDJwUB+2Q/sc5JBBhn0i+889AqLtu0lGm92eGn5Jt7fsoeXfjAbvyd9Sueh91ckxvdGzLJZvHMfp4ysSnktHDO45N7HaeoKYsZThve/t5zVNfv5+zVH7qn6cxMn8cC6FTSGgomampe2b6ExHOTh8y/hvS9dz3t797CjrRXDtqjKz2fGkGpMafFOza4UshC1Le5Zt4TrJkzj6OJBLL3iRhbU7mLenh08tXktuCW984Fxndy4snviMFHb4KW6NeguK9EYoKgSl9cgFobGSABbKkRDOroG4wpKeODUKyjyJKduhRD8cMI5/Hj1cwmxXwWBR9X59tgz2BNo5er3/gaKGW+IkGzqrEHTFRRTR1dTo2sALs3GiJtFGJaKlAqaIjCl5XTEQhIp7TtHzDZ5te59akIN3L39aSQR4jakdJoBnqt9i3ebVyBQ6Es2FCH4oHk1Z5WfTEu0gzu3PsLGzu1xEiVR+3TkOltRAIEpJQLZ7Q2AgkJhHy/VgBlgW2BrEnlz9hzj7cY3UwicW/Uyq+xy3qx/JuG0oKDiVr1MLzn0OMHajsWkC68aMsbi1nkJId73W15nW2AdN4/67SF10nrUXCJWquiBxEb/kGnNjxu53lOYMngp7eF3kDJGrvcUdPXw1e1m8PFgIE4MC4QQQ4GRUsq3hBA+HNmPDDLI4ADYXt/M4l7kDRzZj65whJeWbeSqUyYnjtu2JGZZPLNoDa+u3ozsJ2cViKYKrwK8snYT7aFwgryBI+OxYk8tG/c3Mq78yEQFXty6ic5oNFEDCJKoZbC0roYNTY2MLy5hRlU1M6qSVf2bw9E0kR4HLeEeFXuPpnHm0JE8t2FjMnmD3mL1yYeFUzz+9K6VmL3WSHRhumyi0URvJoYJW1ra6IrFKEpTrjRr0HgK3H7u27aAfcFWJuYP5isjZ1CdXcw3Fj+VIG991zdtk/6qrryqxrTSUWzvamJMbilfGnEiq9u38FbDSixp0Gm2pzQN9IZE0mkEeHDXSxgyhi6SSZ4pTZqirWmvsSltQlaYeQ3LuXPrkwgiKYStW6OuG7qi4RJeOuxgksyJpqicWXZy0rlRK5rWuxQgbKUXuZ5RciHF7kG80/giAbOdkdmTmFl6MTl6+vq2AyFihbH7uXa9XRQsadIaa2Rz16pDSq2Oz7uaJU13JHTgwNFfq/SfjEv9zyBwAKrip9B/7r97Gxl8BByUwAkhrsexoioAhuN4jt4DzDyyW8sgg/9sbKppTGutFY6ZrNpdx1WnTMa2Jfe+s4R/LFxBKOakCe000hvgaMwdW5UqTTJn3RZ+9doCpxYtDTbWHTkCt7y+lpDZ47HZjahlsnDvbsYXp1+3wO11AkN9iaqEFNUOYEVDbfq6697V+b2hSqd5IQ2PkMKi7zOoJhQ2tjUmGdz3xtTCKu4trEo5vq49vfK/EIAi075FgFJPPncfn6RbzqSCIcweNotOI8jnFt/arzMFOF6mUwvGsbJ9CwqpETNwIoVqGg9VVSiMyBrKj9fdj2EbuJI2KLAkThQOgUd1I6XkhmFXUhdu4al9ryVIs0vR+fbIa6n0JXfIFrgKyNKyaDPa+uxHZXJeatNHN8bnHsP43GP6f9MDxKjsibxR/0zatGxfRO0INaFdh0TghuecQ4exl03tT6EIHVsalHqP5qTSjJZ8Bh8vBpJCvRE4FlgCIKXcJoT4ZCf5M8jgE4CKfjTaXJpKdYlDFP701gc88v7KVD257jt/PMqkqwrfOO14CrOS63UWbN3Fj198o1/yJoRg8CE6NSytreH5zRuRUnLB6LFkaTrPrt9I2DA4Z8wopldXJ4r0h+cV4FKUuEQHPbIcSP62eimzJx6NV0/tUFQUhTy8tMdNuRPRNAlFWmoUI8vtptnoSjneH6TdT+cB4IQ3nWieiDsUmFgM9qd+XhHL5KWdG3l//x4qsnK4atRkKrN6xlV489kcbEs5T0qwbbBsgYg3MPR2Xegw+rdby9H9fLH6PB7aNYeYbSYSlt3wKC6G+ss5o+xY/rHrJQyZGjEDp5t2dPZQtnbtSXJwmF48jf3hVhREP1dIYEuFibmjuWroOVT7K5nfsIxna95OOG0gwbZFWi9WIQRfrP4yf9l+F6ZtYmOjCxd+zcd5g4586XSFt4op+aewqv29hNCvJnRsaWH3SSe7FA8FrkOzWBRCMLXoa0zI/xwdsd34tGKy9I/edZ5BBoeKgRC4qJQy1t1VJ4TQOOCzYQYZZABwdPUgyvNz2NPYlpTa1FWFS0+YQMy0ePT9VUnkTQIoIG1QLJAqqAKumDKR66cfm7LGXfPeTysmDKAKQUm2P23Urj/838J3+Oe6tURMAwk8v3kjtikRpsCWkrlbtzG9uoo/X3AeQgguH3sUf1q2yDk5JWJo8eqOrVwyZnzfZQD49rST+O2idwmLmENWbYFP6tx00gkpY88cNoJ7NzY7gbM+DQsJIfnuQxKnGMzU0N0Sw+6JxLgUjZitIVQn7dndYWoKk/fqdzCpqOdG3BWL8tk5j7A/1EXINNAVhX9sWsH9p13MyYOqAPje+DO4bsl9QGqtm2FpuHQbU4IiJCJOtGwE4iA1V5+tmE62msMHLWuwpMnwrAoaoy0EzTAnFU1mRskUdEWjyFXKvvBeNNVKInECQY6exa3jv8GKtg3Mb1yKguD00uOZmj+OufWL6R5pS5ESxXMpGp+vuoARWY4A7eN7X43LivQMikmDJ/a8xhllJ6bsf1zOeP533G3Mb3yLxmgjY7LHckrRdHxpyPmRwKWDr2dC7jEsa30HiWRy3ok8V/MAIasrYXUmEOhCZ2Le8QeZLT3cag4l3oyfZwb/PgyEwC0QQvwI8AohZgFfx/FFzSCDDA4AIQQPfO1SfvLE6yzethcBDC3O55dXnUFxThZNnYFetWNOYMjuFayybNAi4FZVZp88Je0a+9o6+11/6tAK7rj0nLRp3HTY1tLCY+vWJEXzutOQAielFjIM3t21m4W79zC9uooin48rx0/koXWpxiwh02BXR2p0qhtfmHQ0EdPkr8uXYJgWuqpy4zHHcc1Rk1PG3jDpGP6+YRmWZSVnP3tK75J152yBz8xh1rDBvFKz3rEck4JwSGVIVh57Is094+PNB3dvfJ+LqicyyO9ELO/bsJSaQAfROAE0bBvDtrn5vVdYctmNKEIwpaiS/51wCb9a/0LCp9KWgkhMR0oFKZW4BlzPZ+BSVM4elPoeu7GoaTs/XvUsISuGLW2qsoq4YfgJDPb11IMZtsl3VzzCmtYWvLqOAFyqlbgII7Or+OGYL6MpKscVTuS4wmSicVzheP66/VlnLqmgYaPGT853ZfPNkZ9PkDeAtlhH2r229HMcoMxTxlVDPt/v60cSQgjG5hzN2JyelG2Ft4on9t5NTWgHEqj0DePKITfiUtz9T5RBBp9gDITA/RC4DlgHfAV4VUp5/xHdVQYZ/JegMNvH3264iFA0hmHa5Pp7quTz/T50VSEal1GzdZKjSwpYPvj69OP7tcwaWVzIyn11Kcez3S7+MfuSgxq/98Y7e3b2660qFRDxQFbIMHhjmxOJAzh1SBXPbF5HsI8rg0/TaAx3ceHzj6EpgivGTOSSkeMTexJC8LVpx3L9lGm0RyLkeTwJ7TfDtnh68zqe2bYegeCK0UfxyxNn8bNF87BMC0tKXIrKpaMm8L1jTuHGt19iZWMdYdPAo+oomuBvp1+IKW1e3LiDsNWtVSfYTUvaXz5FKCys38kVwx1y9eqezQny1htBI8bOjhZG5DldexcNncxnh0zil6vn8vTulZi2RBECXVG4tuoEXtq/GMO2CFsxfKqLCl8B1w2fAcDGjloe2rGQ3YEmcnQ3nUaIXcEmTJs46RNs62zgug8e4NWZ30GNR+7+tPk1PmjeCgjChpuw4eoWhEATGhcPOpYCd//G7gWuHL46/CLu2fECtrSxpY0iVE4tnoxLeLh/x6u8UreEK4bMZGzOUEo9hdRHWlLmKfOkF+f9JKLIXcY3R/6CsOU0yXgPUT4kg/9n77zjo67vP/78fMetTEJYARK27CkbBQTFDe6BWq3WvWptq22tta21/hxVa92j7r1FAZmy9w57BDJIIDu59R2f3x93ueRyFwgCxdp7Ph6I+d53fO57R+517/F6J/ix0RwBd4eU8mkgItqEEHeFtyVIkKAZeJwOaPRFX1MVbpswgqe/W4w3XuW+AJeu06V90+3995w+mhve+iwqjerWNe6aMOqIxBuAS9NRhYIRx+Oqoa5UhSBJD/VXHqitxRswyHB5CFo1kXSlpggsxearnVtC4gnILT3A3L27eP70yZFzVQUCLN23lyJvDS08Lvq3aktOajrXz/iUFfvz8YWjgVvKShiVlcN3F1/LZ9s3s7OilMFt2nN5z/64NI13zrqURYV7WVq0l0x3Eud37UmGy8PV0z/EZ1qRZyA0C6mGwnWNU56KELhVHcO2WFayN9wFaqNoof1tK1SUaEmJS4uu6xNC8MCgs7isyxC+K9yCpqic2b4XOckZ3HjSKcwsWk+hr5y+aR0Z3aoHmqKyqGQbv179HgHbQDRKwarhqKclFWyg2vSx4uBuRrTqimlbfJ6/slGHqYgkBhWh4lZj6w4bc07WaAa3OInvD6zFsC26p3Tgkc3vELCCmNJid20hK8u2cF+vq7i20xSe3PYmQbtepDsUnWs7TT7EFX6c/CeFW9Cqoci3BkU4yPIMRhWHf10SJGguzRFwPwMai7Vr42xLkCDBEXLN6MGkulz8ZcZcaq14c0UlB2riO/4DnJzTgRenTuH/Zn7PjpJSWqckc/u4EUwe2PuI13JWtx48snB+/AcbBKJ0VeWCPr14fNFCXlm1CoeqYksbh6bi0BUEgkFt27HqQF2HagifaTBv3y7WH9hP/1Zt+WjTRv44dzYBzYxYU+iqypA27Vhfuj8i3kLHmiwu3Mun23J5Ye0KNKEwZ89uHl+2kJfOnMKo9tmMaZ/DmPY5Ucve761p8JNE6E2X79pS0taTwsgvnsGwLIIygCvFbHg4hs9Jt7QMOiTHj4j2SGtNj7ToHq8kzckFHaO7K6WUPLzxC/x2qIO3cZJbiHBZYDg1LCURM+GAbcZ0lkYjOa1t30M8Xk87dyaXZU8E4JHct/CZ/shrUeen98z2j3l/5J/4jXIdb+z5kmJ/KW1dLflZp/MZ1vLo56D+VNlW+S2LSp5AQQMhESic0f5R2ibq5hIcI5oUcEKIK4Argc5CiC8bPJQCxMbSEyRIEJfNhSU88e0CNuTvJzM5iV+MG8rkwb0RQiCE4IKT++Bwafzh6+/wBqNFnC9oMmPtNkbkdCS7ZfyU2PDOHfnkpqlHtcZvN27lX/OXotaC4hI4NRVFCAzLRljgdGhIKTFtm/vGnUpBdTWvr15N0LIIWiExIQzo1KIFs352Lf+3fAELivbEXMe0bZYX7cOj6jw4bw4+Jfx8wwrGsC1WFhdEpjpE3QvT4OlVS2KGcN/w7Wcsu+ZmUhyxtUyj2+Wwu7IsVMvXKCDZ+DwjMztz68JPKA/6EEKi6dH+bghweoI8M/boOykrDC+lgZrwaRsuREYmMkgBCjaWrWJKmwEtQs0oHtVBa2cqRf6KmPMqCP7c/1JaOlNiHjsca8q3R3m81VFr+jkYqGR4y34MTwi2ZlER3MuikiewZACLQKQ2cUbBr7myy+foivvELjDBT4JDReAWA0VAJvBEg+3VwPrjuagECX4qbN9/kKtf+ABfOMVZ4w/y1y/mcLC6lhvG1XeVnt6rGy8tWs7u0vLI+CxkqO5s+fZ9XPzMO/xs1CBS3S4m9utGuyO0BjkU765Yx2Mzv4+sUfUCbrh13HCmDhyIQ1FYsCcPv2kyOieHDI+bn336SVSELLxc9tfUsLX0IK08SThVjUCjOaQOVaWl28MnuZsIWAY4iOleNev82xqHpSThDsKYMQHM3L2Di06K7Xa9ZcBwPt+ZS7URaDJqJcOdrAsKd+NwWWiaGbYXib2WR9fJqz1I19Sjq/3yqI7QvB0llAcAACAASURBVNxwXV6dh4rSwJBXALoicQiFSVn9yU4KXVMIwW/6TOb+Ne8SsI3wKiUuDaZ0HEiqQwvXtNUrVq/pY3HpGiqNavqkdueklM6Reb0+M8D8A+uatBawpMX0omUMSO9G//SuRz3n93+B7ZXfxjcTlrCvdgldUk77zy8qwU+OJgWclDIPyANie/oTJEjQLJ6dtSTGo81nmLw4dzlXjx6MUw/9E3SoKu9ddznPzV/KK4tWhiwhzJCViI2k1h/khTnLcKDy9LSF/GbyOC4ddfSpGNOyeWr2ooh4g5C9guWzWb41n1uGh+aCnt69GxCa7hA0TaqbmAihCkFt0GByt148vmJBnMcVJnXqzvSt27HUH+BG1MgyBMBvGtQa4XmhtoVp27g1Hb9pku50MeOCa3lu/TLm5++m1K6kxgrGTh6wBWpKLVKRNKxSsmyiLigl1Bjxn/uR4FR1Tm/bl5lFGzCkiYAo8VaHEJDpdPJg/+has9GtTuK5YTfw+s657K4pJCAOogrBzP1LmFeyiuykNjw24DZcqpNt1Xv406Z/IqVN0DbRFY1+aT24r9eN7Kop4ldrnsOS4Zmr8YyPpeTtvBl8lD+XHskdeWTAzTiU4zNf96dC0K5BxplCK7ExbG+cIxIkOHIS/woTJDiObMovjknV1bG/spqczHprCI9DZ1SnbD5atJ6aQPQgbkTIGLYuXfl/X8zj1F6dadviyFNlDSnzeusjfo3YXFQS+f995ZXc//VMVu0tAAEdWqXhVFUCVvSxEujbujVOTeP1sy7itllf4jMNpIQ0p4uXJ12AS9NZVpwfVyxEnqwlYwf2WYQUTaPjbMCja9y18Eu+yduCJSVOoRHw2ghb5ZQOOTw6bhIPjZzIQX8t4798nhqz/v5KU+ByGShqXRtAeHvYv62hBYglbUa27tLUwptFXu1B/rLhEzZU7EUiUUVopihxPvAByo3auLM6+6Z35Ikh13Dn6ifZVm1hht9ofjvAntpC3tv7HT/rdDaPbnk5aoRVwA6yoXIbs4uX8ubuudRGHgsV3Cmizi8vJOrr0qp+K0hu1R4+z5/PpdmJQTyHIjt5DNurZmDKaKNjiU17z9FPm0iQAOJPeUmQIMExomPL+MXulm2TmRJratq+RRqGFcfKoy6jV4eAb9Zs4a2Fa/jl21/zzIxF7K9o/qSCOtLdLhrbxEkhMV02wSSLf69dzYHaGi799/us3FuAJSWWLdlbUoFtSdxa6DugIgQuTePhCRNxhrcNb9eRZVNv4Q8jxjOmfQ4jszpS6vOy6UBx/eQGu9FzExI0Cxx26EFThnSNFX7STfDouvl8m7cVw7axpcQng4jkACLFy6LSbVzw+duYtk2mK4lPz7gWj3ShWRoyqOAUDnRnrHiKGP2GmwwUBE7h4K5FnzFtz+Yoc+bmUmP4uX7JC6wv34stQwlhFRGZbBGPVL3prskqo5adNQURc9o6grbJrOKV7PUW4TVjpyUE7CDfFs2nPNiwySOUt7YlpOnxU/SmtPi6cMmhnmICoINnKFmewWiirtZNoAkX/VpcQbLe5oSuLcFPh2ZF4IQQbiBbSrn1OK8nQYKfFLdMGMH6fZ9H2Xy4dI3zBvUiyRk76jwnM53BOVks27kvyuQXQDTQC1JKXpq/nKBpETAtdEXhrYVreOWGixiQ0/yxPg5N48qhA3l3xVp8homtSszU0HUr7ACPLV7AU0sXYwdltOmwBI+hcl6fXpT4a2mdlMzUAf3pmRk9lujvy7/n7dy1kckO03dvZ2RWdnQHQV1aVLERrgZl9BrgkOBVo3OLon6cU8hlWFIW9EZsNYRi43CF7rcQIG2bMg7wyY4NXNZjAN3TM5l7wY28vXUNuWUl9M1ow7uF8/DF6QJWBGR5MtjnrcCyJeW2j5UVu1m9Yi/vbO/EmxOuiHjXNYdvC9eG69bqn7+FjZACSwo0pdFcUwmT28dO4GgOUsoYYRf1eJOPicgtjkeNESsIE0QjhMLErIfJq1nIrupZqMLFSWnn0M7TtIFzggRHymF/8wghzgPWAtPDPw9s1JWaIEGCJhjWpSOPXDKJ1qlJ6KqCS9e4eGg/fn/++CaPufuM0URq6MN/hBUdfzKwqQkEI+lPw7bxBg1+98H0I17jPRNHc9Wwgbh1HStZRjUQ+EyTmmCAWjUYc1zQtOiYnMaL50/mLxMmxIi3nRVlvLVpTSiFGt7mNQ0WF+bhUBvlR6UEZ6MeyPA6HG4FXVFQVMBlgtMK/XFZoNg4NAWHUn8+3RHuiq1rBlBCUcV3di+L7NPak8w9g07hlQkXcfegMUxs1xutUZpSQTAoI4f9vhpsGTphXVTOVizWluUzfd+RfafdU3MAf1yhGBo8b9gCGR65JSXowsUvujVd8J6qJ9EpqR2iUXRSFxoT2gwhx5OFW43tznUqDs5sewppjtgosFPRGdCia8w564h3TIJYFKHSOWUsE7L+wrh2v0+ItwTHnOZE4P5EaJj9PAAp5VohRKfjtqIECRphmhZfzdrAtDkbkUjOGd+X80/vj6Y1LpI6MeQVl/Pat8tZuTMfn2LhcGkM7pyFW9NZs6uAjBQPfzp/AgM6tyfJqaM3Fi+NWLWrAM0W2FYDOaOA6QrPRpUgpMAUYbFlgWKGAlN5ZRWU1XjJSPZg2jafrNnIR2s3YtuSCwb05rLB/XBoGrO37OSNpaup8PqY0LMrN4wZytWjBnHK6y+HLDcaYANCBxrNX3doGj3bND0IfN6+XTFRRAC/aXJal65M37MNS9hIG3ShYgs71sZCAJpN38x27KktpSJoRu/hsBmX1Z35B3aGN0hE4ygWIdGV5zvY5Fp/3WcSa8r2UuyrwpAWAkGS5mRwRidWHoiddAEQJMhXu3OpldV8vnc1Erig4yAuzDkZXYn/GvdOb4+7wIHPihbEDkUj29OGHdUH8ZsBnKqOQPD4kKm8sWsR0ws34NZ0Ls0ZztlZ/aM6Qe/rdTW/XPMUhvQjpYEiBKlaMhd3HI8iFH7T8xc8tOlZJJKAHcSlOOmZ2oWJbUbTOakzv173DIrwE6p20+nkyeLS7NOYV7ImbGYc/XKMbTWIBAkSnHiaI+BMKWVlonU8wYlASsl9f/+ctbn78AdCHyZ5+aV8v3w7//jjJf8RS4OKWh/Ld+zD7dAZ0T0bvYFw3LbvAD9/7ANqbQOjbkqWF/LLwjMiLRD7S1mfV8RNpw/n+gnx02EBw2Tptr0EzVCoTVUURLgWzlbATA7vKMCESApShP9jq6CEmyP9homUkjs++oolu/dGOkx3HixjxubtDOvYgdeXrMJnhMTQztIyPlq9kY9+cQVWEx0XqhBoioJp26HCe00hLcnFoA5Np2s9mh6aBtFoHJWqCOYU7kRoIG1ABaGExk/FE3wBy2L1wQJEnK5VVRFkp6cy3tGFeQW74ka36qibHhGPZN2FSyZhmDWY2EgpqLFgcfGeUH1avNsiYbt/D2tycyPX3VVzgDn7t/DssKtYfjCPSsPH0MwcWrlCL+CEtv14YdssDNvEDKd8dUWllTOVK3PG4NJUtlXvJ8OZzGltenHL8jfYW1tKINxQsK1qP6tL9/BAg67Ujp42jMjsxrLS9eFGBklA1vDX3Of4e/976ZnahZeH/pWFB1ZRaVTRJ607fVK7I4RgS/UWkvRgpCZRxaLW2k9LRzLDW/ZmednmyPQFgSBZczOlwylN3scECRL852iOgNsohLgSUIUQ3YE7CXnEJUhw3Fm/pYB1m/Mj4g3AHzDZtK2INZv2Mbhv9iGOPnre+X4NT329AE0NjVFSFcFzN15A/3Cd2ZMfz6c2YGAkE9e3rM7iyxc0eX7mUi4bPYBkV3RKa8WOfO587YtIWZhhRdvYWnXCsJGpbH3hf/hyGqiWwLAsNhQWR4k3CEW+NhYVs3ZvUahRIpyiNKXkgM/LlJffQWrRKdS65zGkXXu6ejL4cvMWaoWBqkC55WPk8y/yxNlnMalH95h7d1bnHvx5yZyY7baQGLYVFekL2jZKHBEX0iMi8v+N9bolJYW1Vfzz1Mk8u2Ex72xbS41dFfJfabCvU9G4uFPTkaNZhVvZXVNKwAq1FQD4MdlUvh+lcZdHGIdQqbZqI+IKwG8ZrCnLY/Q3j2OEn55hW9x00mju6D0Wl6rzxqhb+efW6cwr3gQIag2bvdV+Hlz3FaZtc1ev07g0ZxjT8teS7y2LOr/PMviqYC3Xdj2FjkkZAOz1FrKibANmg2hZ0DbI9xazvHQ9IzMHkax5OLNdtPDyWX7e3/d11HgsC4sas5ZpRXP5fe9reHfvLL4uWITfDnJyi5P4RdfzSXckkyBBghNPs2ahAr8HAsC7wAzgr8dzUQn+d1mxLo8X3/mevIIy2rVOo3vn1gSCsYaY/oDButz84yrgcvcV8/S0hQTCjQJ13PrSZ8x96CZ0TWX9rqL4prM02BbWI7qqsjn/AEO7dWBfaQVPfr2AJdvyqA0YNB48oKkKTl1DUxTKtfj+XHWnrovCSQWSNAdZLVKZvXxt3C5Jn2GiC6V+zQ3OWx7woSIwtUbhJhuCAZNfnjuaz3ZsRtqSoGIRDBvj3vXNNOZn3UCb5OgP9nSXm+cmTua2WV9GuixN26ZFsovC2tiOWRc6KS4HtUYQv2VgRuZIxX/uAG5NZ2z7LuiKyi8HnMIvB5xCZdDH9QvfZlf1QYQQWNJmaGYOt/ccGzmuxgjw5IZ5fJm3CRtJK7cHb5zonSoUhrbMZuGBHaE6uLrbZmiM6ZDN8vLtMcf4bRPDDE1QqOOVbUsY3LIjo9t0IcOZzIP9L+Z39gWMm/4ENUEvUJ9SfWbLXAa17MjigzviNlaoQrC2PC8i4DZX7YzZJ7SOAOsqtzIyM75w3VObjyZUgkRfw5AmaypyuTz7PK7pNIlrOk2Ke3yCBAlOLM0RcCdJKX9PSMQl+B9HSsmmTQWsXbeX1FQ348b2JDX12IyFWb52D/c/+nlEsO3ae5C9BWWoqoLdKA3ndGhkpB+bYmopJat2FbB6ZwEZyW7OGNSDVLeLT5ZtCKU0G2HaNo9/Op9WSUm4HTq+OAIzHqZlk5nqobTayxVPv0e1L1AfbWok9pCSy0b2Z3CX9vx++izKfYfp/JOhD/b7zxuHrqq0TPKgK2qMJYlDVZF2nChb+By2HRqJFXlcgiIFWampTN+2HQMrFKCqO1ZAUFq8uGI5fxwfW2w/PrsLK6++lQUFedi2zZgOnbht7pdxBZwl4eMzryK/tpLn1y9lYUFeRDTV3ZOoqJqqkeVJZXLn6LmvaQ43H42/gQ3lheTVlnFSapuo+aS2lFwx5y12VB2MpA5rTF9ckWxLyaL9eRiWiqpaaJqNQOGPw85E1yTrqnbHiqzIdIXQD4oiCUo/z2yew7BWOZH6uBUH90S81hoSsAw+2rOa1u4UVBSsRupeQdDSWS+W0/VUVKFCIyGmCY2Wjvg2NhCyCmlqOkWGI/7YtgQJEvx4aI6Ae1II0Q74CHhfSrnpOK8pwY8Uy7L5058/Y9XqPQSDJrqu8uJLc/jbw5cwoP/RR8L+9ea8mGibadlR9hl1KEJh1Mld8AcMXE49dodGSCmp9QZxObWo5gfDsrjzlS9ZvasAv2Hg1FQe/+J7XrzlImp8wbg1WV6/wacLN2AHbVShoAqBaUikTkzqsU6QaYqga9uWdG6dwb9mLMYXNKLP3TAlCpi2JGhaTOjXjUJfNU/MXhiVDm14GICiCB6YNJ7JQ0Ji5vSe3fjrjLmNP9PRVIV2qcnsLCuPPZcUKBKEIkK1cOH1ODWN604ewvL8fExhxxU6s/fs4o9ECzjLtqkNBkl2Ojkjpxs1wSBOVePGfsNYvn8fvgZjtnRFYWBmW1o6PbR2J/HHYRM594s38DfYR0iFDN1Np/Q0ag2Dczv15LpeJ+PSYl9/IQT9M9rTP6N9zGOLineTV1Ne70VHaOJC494SAQRtC9MCp9PE6ahfy/9t+Yxf9To7rsFu6HyhF9Sp1x+ztXofF857lrfG/IJ0hwevGdvZC6HbXhn0cTBYHiPeADyak+GZXSM/D27RB11o+IkOVqpC4bTWTQ/SyXK3JtuTxe6afVHXcSgOzsv6cRr1GnYQW9o4Vdfhd06Q4CfOYQWclHK8EKItcCnwkhAiFfhASplIo/6PMXtOLqtW78HvD6mCQLgu7U9//oyPP7gDVT06X+i9BWVxt0sJrVumUFXjRwhwuXQy0pO46JaXARjQqz2/v+0s2raKbz66YMUOnnx1DmUVtaiqwvkT+nHb1WPRdZXPl21i1c78iE+b3wi5xl7/3Ef84aIJzNu0C18wNo1lBmwEYEobVRG4DIGpgqHIUL2cCPm2ORQVS0p6tW/FP647D4C1e4riRvYa4nbojO8b+pC+auhACiureGfFOnRVJWhaeBw6voCBrqoIAX88+zTO798rcrzHofPm1Rdz24dfUeb1IYBkl4OnLjqHDmlpXPDS25TGieq1cSbRNjOF3AMH0BUFCfzxtHEMbp8Vml0aDwEVgfoWVSklLyxfwQvLlhMwTRyqikNVqQ4GUYVgSu/e/GbIqTy2egGKEBi2zUnpmXgrTQa9+BwAp2Tn8NeRp/OX5XMxpY1l23RObcHLEy+kY0rTUaXmsLmiOGZGKwgsC5IcGooQSClp7Uohr6oKVQ2Jt4b1dxLJY7nT8Po0nA6BQ1FQFYUU3U1JbQCw0dV6LzoI9XgWeMt5fNN0/jroQk7OzImb5narOm08SUwr3BbzmILgxRHXoTYQjrqi8dd+d/PI5pcoC1YgEDhVB/f0uJaWzviRNJ8V4F/bP2BLZVG49jAk3FQhuK7TJfRO7XZE9/R4U2NW8eG+F9havRYpIcudw6UdbybLnXOil5YgwQlDyKbm/MTbWYh+wG+Ay6SUTbd0Nf98ZwJPE0rKvCKl/Hujx+8BbiDUeHcA+Hl4RitCCAvYEN51r5Ty/MNd7+STT5YrV6482mWfEIIBg7mfr2b5vM1ktknj7Kkjyene9j+6hnvufZe16/bGbPd4HDz298vp1SvrqM5/yS0vU1RSGbM9NcXF16/dyp78UgJBk3v/9imV1X7q3ruKImiZnsRH//oF5VVePpuxlt37Sul3UhadszP5wxNfRUX2nA6N08f05P5bJnHlP95j4979oQcaRZbapCZhmZJyvw/LlmFTWBBBUBt9/vfObs3vpk5Ad4QGuHdulYGuKWwvKiU9yUX7jHrR8ffP5/HB4nWxH97hiJ3boTPqpBz+ce25UV22VX4/eWUVZKWl0jLJQ355JZV+P91bZ1JQVsn7S9azv6KK0T06cd7gXrgdOlJKdh4sw7Il3Vu3jNSilXt9TH7pLSp8fgKmhaYo6KrCC5dPYUSnjuRXVlLh89M9s2VkskLANOnz/NNYjX5lCKBf6zZ8cflVALy8fAVPL14SM+w+cv9VlfFdu/DE2WeyvaIUFYUrPvqI6mD9jFFNUchOS2Pa1KvZXlFKsu6gU2qLuOc7Umbkb+HXy76itlEEzKPqPDDoDPq1bItT1chJymDIZ//AUKpwOKzY+akSAkENw1TQFZUHBk3i8s5D+Hzveh5cMw2p+GOOCV3HwdKz/wDAOzuX8UTudwQtCxuJW9Xp16I9imKyujwv5tgk1cELI66jX3qHmMeklBT4ijGkSbYnK0rkNeb3659lU+WuBjYhEqei8+TAX9EpOTZqeSKRUvLY1l9RGtiP1WDcmEvxcF+vp0nW4n9xS5Dgp4AQYpWU8uR4jx02AieE6AVcBlwMlALvA786BotSgX8BpwP5wAohxJdSytwGu60BTpZSeoUQtwD/F14LgE9K+T/hjOj3Brj7wmfYv6+MgM9AUQUzPlzOr564nFPOGnCil3fMuP6yUTz20neRyB6Ay6lxzYUjUBSFLtmt+GbeRgJBk4ZfPGxbUusN8P7XK3njk6WYpo1hWixftwfLlpiN6sACQZOZCzZz+zVjORTFlbUovpAbv+YQdGyVzv7iKox4dXFS0rtTvaD2Bgy2FR4kMzWJtunR80qnnjKQT5dvxAzWr0tTFdI9LoZ26cBZg3oytneXGIuUVJeLfln11+jQIo0OpDE3dyf3vvsNhmVh2ZJF2/J4Y8FqPrjjCpJdTrq1ahmz3hYeN9/eei2fr8tlyZ59ZLdI44ohA+jYIiQ0O6Sl0SEtOtJlSUmay02ZPxy5i6SHFe4aPiq0SUqeX768SfEGIVuQOTt3UVJTi23CzJ3bMBrVOJq2TXFNDasKCxnVMTY9H7QttlYUk+pwkZOc0eS14jG+XXdSdCd+y4jYpigIXJrOuTm98Wj1301v7DWCF7bPoqk5pSEEQcvm410buKLLyVyQM4CT0lpzxYLnD9V/AcDUrsMZ2LIjH+1ZRVXQzxntezOxXU9uWvbvJi7VtG2OEIIOnsN/qSvwlZBbtbuRx5vAtG2mFS3ktu6XNXnsiWBX7WYqjdIo8QZgSpPlZXM5rfXkJo48sdQYxfisMlo4OqMpiZRvgmNPc2rgXgfeA86QUsZ3tPxhDAN2SCl3AQgh3gcmAxEBJ6Wc22D/pcBVx/D6/zV89fZi9u8tIxBOXdqWJGAZPHXfR4yY0Afd0ayJaEfNmZP6s2VrUSSFWodD1+jR4+ijgWeO64M/YPDye4uo9QZwOXWuvmg4l503JLJPQVEFPn9sKi8QNPlw2qqoxwJBs8kPPE1VKC2v5YLhfcjNL45b6wYhF39hAj5JcWFlk4Pp7QYi8Y35q3h2+mI0RcGwLAZ1bs8T15xDqjv0S7xjy3ReuvFCHvp4FrtLylGE4Iz+3XngogkkuY4ssG1aNr//aGbUqC6fYVJYUcVbC9dwy8QRTR6b5HAwdehApg5t3vegdzasw2s0uPfhW6uqCqOzQyIraFlUB+LXdkUhJJPeegNdVfEawTiVXqEGgr2VFTEC7qu9G/njqm8BiSltuqZk8vzoS2nnaV4kxqGqfDTxWu5b/jXLSvKQwODM9jw67Lwo8WbYFjvLy/D7FZKacM4wLSXyFttXUx897p3ejlNa92BRyXasBjJOFwpnZPWJOkef9Cz6DIyOXk/pOJjcyoKYBgmHotE77egi3ft9pXG7Ty1s9nqLj+rcx4PSQDHxMkWmDFLiLzgBKzo0AauaWYV/oMS/EUXoSGkxJPMX9Gtx6YleWoKfGIctWpJSjpBSPn2MxRtAe2Bfg5/zw9ua4nrg2wY/u4QQK4UQS4UQU47x2n5ULJi2LiLeopCSnbn/uV9gE07rzclDOuNy6SiKwOXScbt0/vTgBUdd/1bHlEkD+eq1W/n69dv45o3bmTplWFQkqnvn1nhcsUXruq5SURWnU7MJxWVLSdtWqVwwvC/ZmYfouLNDNmShSUqiyQHmecWhpoD5ubt4dsZi/IYZGXW1alc+v377m6j9B3bK4rN7r2HxX25h2cO38fepZx2xeAPYUVyKYcVGh4KmxfT1sTVUR8O0HVujmgrq0BSF3AMlQEgctU46dHewFBCQNgHLoiYYjO40bUSvzNZRP28sL+J3K7+mxgxQYwbxWyZbKou57vt3437IN0WWJ5UnRpzP1B4D6JKeikODPTXRkxqeWPs9X+dtxjBVAkE1asSVlOAPakD96Ks+LaKHlD/Q/3wyXSl4VAcCgUd1kOVpwT29D2/LcXb7AYzI7IZb1UPRQVXHozp4csgVh0yNNoecpHYYcbpfdaHRK6XTUZ37eJDlzokbyXQIJ9meWP/BE83soj9S7NuAJYMYdi2m9LPq4Mvsq1lyopeW4CdGk6EbIcSHUspLhRAbiG5uEoCUUvY/ymvHC43E/Q0shLgKOBlomPPKllIWCiG6AHOEEBuklDGGSEKIG4EbAbKzj6/p6/EiKSV++N2yJO6k2DmHxwtVVXjowQvYlFvAuoiNSC9SmlhfeXkta9bm4XY7GDK4E45mRgoVRZDcxPMac3JXMjNSKCqpwDDDTva6Svs26eQVlmEfSg2EcTk1pk4eGulefevOyzjnb69T7QvUvwEbzx8NvevRVCUmJQuhujqA1+auxN+ok9awbFbuzOdgVS2ZqdHixhNnoP2RkOTUm3zOyT9AEB6KFEf818SybTzhKQdCCO4beyr3zZiJv4k0qqLG2N41MLQL4VRV+rdpy4C20ZHdN7cvJ9hIsFpSUuStJLdiP31ahAyWt1UeILe8mOzkdAa1bB+Tjj7or+H8WS9QbfgxpM3umlLWlxdwd5/xXNttBFJK3tq2iqBtIVSJP+DAMG10zQw/ZxUpReT7gUPR+WW/6JR8G3cq0067m7nFW8irOUi3lDac2qYHWhNjthqiCoUnh1zBuvJ9rCzbTbru4YysvqTqR2/Zk+lMZ2zrwSw4sIZAgykLTlXn/PaHLis4EXTwdKFTUnd2127FlKH1Kqi4tCSGtPhxTYWoNQ9S7FuP3Si6aUo/68vfo2Ny013BCRIcKYf6RL0r/Pe5x+na+UDHBj93AGKifEKIiYQ86MZKKSNVznURQSnlLiHEPGAQECPgpJQvAS9BqInhGK7/P8a5V49my9q9+L31qSkhBK2z0snu1uYQRx57hBD07dOBvn1ii6gb8sGHy3j9je9Rw12SiiJ49JHL6NXz6NI/mqby4t+u5KV3FzJnyRZAcPopvbjxijE8/Oy3LF61MyLsICSszhnXl33F5Wzavp8WaR6unjKMc0/rG9knLcnNx/dezVPTFrBg8x78AQPTb6PU6Y/wZ3/QtjlneC9mrtwW1UXq0FUmjwqd72B1bfx1qwrltb4YAXe0dGyZTk5mC7bvPxiVBnY7dKaOOrYzK6/uP5BVRYX4zPoPJwG0S06hR0Z9nd15vXriceg8sWAR+VWVtE9Nw61r7CwtI83lIigsSmpj75MmFJyahlvXuKR3H+4YHpv+3e+rjp2XSshW5qC/lqBlcevCT1hcvAdVKEgk2ckteOe0K2nh9ET2f3X7EqrNkHirw2cZPLVpLpd2GoxT0aKfpwDb3lj7XgAAIABJREFUVggEdYSon7WqIOiZ1o6HhpxJ/4zY97ZD1ZiU1Tdme3MQQjAwI5uBGcf+i+edPa4k29OOLwvm47X8DEzvwc+7TCbDeXQdvseLn3f+LbOKP2V52VxMadAndQhnt5v6o7MT8VsVKGhYxJYReM2mZ/EmSPBDOGwXqhDiUSnlbw+37YgvLIQGbAMmAAXACuDKhj5zQohBwMfAmVLK7Q22twC8UsqAECITWAJMbtQAEcN/axeqlJLXHp3GF28sRNdUJJCc5ubvb99MVqfM/9g61q7aw8vPzSZv9wEyW6dyzfWnctrpsR9OmzcXcs+v341qRgBISXHx8Qd3oOvHZwh9VbWPX/7lY/YUlKEoAsuyGT6wE3+557wjGnw/6s5/xkTRABQhmPnoL7jp2U/ZWnqQsNUXuhnqYDylb2c0t8bXa7ZghVOtdZ6utgJCDZ2jR9tMfnvOWIZ16RhzjR9CQVklP3/5Y8pqfAgRGqV1ybB+3H/+uLizYit8fh6bu4Dpm7cjgLN79+De8WNIdR36w1BKyaOLF/DvdavRFRWJJNXp4p0LLqFzevM7RP++4HteX7OaoLSQDjtUyCFBtzXW3XAbHkfTkcNXty7lqY3z8DdKAToVje/PvZO3tq3ixc1LolK9ulAYm9WVl069JLLt/FkvsLWqJOb8yZqT18dcRf+M9pz59StsrTgAih2qhWx0K52KytLJd5Pq+HGJiAQnDssO8vbO8zCkN2q7gkbP9MmMan33CVpZgv9WDtWF2hwBt1pKObjRtvXHIIWKEOJs4ClCNiKvSSkfFkL8GVgppfxSCDEL6AcUhQ/ZK6U8XwgxCniRUCZGAZ6SUr56uOv9mAWct8bPgmnrKCmsoEf/jpw8rmdMXdnB/ZVsXr2HtJbJ9B3aGUU5NnVnzWH92jx+d897UaLM6dK5+Y7TOXdK1NuDx5/4hm9nrI8pP/N4HPzxD1MYNrQLxfsrmT9/C8GgyYiR3eh2jCKJUkq27CymsKSCbjmtyWmfQbXXz4xV2zhYWcvArll0bpPB7NXbqfEHGdk7h76d20YJnbPuf4Xi8jijnhwaT905hVte/SxqtBYSlCA4pCA1yUnQAd5AkGB43qitEHqXNhAALl3jpWsv4OTOh45kQshsePa2nWwtOUinjBZM6tkdlx4dPLdtyeo9BZTWeOmf3Y52jTpf6zBtm3NeepP8isrILFJdVchpkc5XN1wdGj5/GIpralhZVEBLt4dh7TtErEmay0GvlzPefp0y6Y26J7qicGP/ofx62KlNHlttBJj83csU+6ojRrxuVef6k0ZwV5+xjPj8GUp8NTHHaUJh/cW/ipj+/mLRu3xfvCNmP6ei8e0Zt9Lek87ykn38bNZ7+KWJUCVC2Dgd4dfd0ri91zhu7TPmiJ57gp8+Wyq+ZOmBf2LKkDeigo5DTeLCnNfxaP+5L9wJfhr8IAEXtu24FehCdGoyBVgkpfyv6wj9sQq4vO37uffSf2EaFn5vEHeSk7YdM/jzaz8ns23zIhtSSmoqvThdDhxxivyPlrtuep3cjbENE6mpbj6adk/UwO+H/vI587/fErOvx+Pg9lsngi15+qmZSCmxLBtdVznn3IHcdvvpx3zdm/bs5+anP8GybfxBE4emYpgWugjVsjl1jQmDu/PQdZMiIu69uWv452cLo6JwLl3jwlP6sTR/H1uK4qRCJGg+cDs0fj5pGBVBP99t2M7+qmrMRuKtjkHZ7Xjn5ssPuf4yr49L//0epbVeaoMGSQ4dj+7go+suJyvtyP2vZm7dwW+/mk5tI3PiJIfOk5PPZnz3Lkd8zh/CjTM+47u8HTHJUJeqseqa20jSm47CVQX9vLFjOTPyt9DC4ebaHsOZkNUDgEGfPEll0B9zjCYUVl30S1J0J1JKZhdt41crPsXfoMtTFwqDW2bz5qnXRLZtKS/hqXULWFa2DeEKCUMhQBcqF2UP495e58SNcib436bQu5r1Ze9Ra5bQ3jOU/hlX4NFi7XwSJDgcP9QH7l1CXZ+PAPc12F4tpYxvmZ/gB/HoXe9QW+WLRKx8tQF25xZw9YDf0b17Jve+cjPZPZtu0F27eDvP3PcBB4oqEEIw5uwB3PHwJce0wWHP7gNxt/t8QWpq/FHzUMeN7cmy5Ttj7Ea83iBPPv4Nlhn9sR0ImHwzbR3jxvWiT9/DR6Sai5SS37z8NbX++nqUoGmBDNWzCQn+oMmcNTuYeHIPTu0fEi+XjxtISXkN789dg6aGBN/EIT2468JTePN3zxzymv6gSV5xGX/92Vm0SHHz9PRFTe67o6T0sM/h0dnfU1hZHel+rQ0a+AyTP3wzi9euuLA5tyGKrSUHYsQbhKxHtpQc/I8JuG3lB+N2LGmKwr7qSnpmtGry2FSHizt6n8odvWMjdadldePLvE0Rf7c6uqVlkqI7WVKymz+s/IYiXxU2IQNjp6ph2jaDWnbg6eGXRB3Xs0VrHh11FmfNXU+gQeeFIS0+z1/JxLZ9GZTR6UieeoL/AbI8g8nyDD78jgkSHAVNCjgpZSVQCVwBIIRoDbiAZCFEspQy1pI/wRFTcbCa/F0lsW4XioJ0Otm2ahf3jH+IR2f8gVkfLqVwVzH9Rp/EWVePISnVQ962Iv50/csEfPUfygu/XUdVWQ1/ffPmY7bOtu3S2bUjtmZI11WSPNFCcczoHkz7Zi0bNxXg8xvYukCqAkwJQTsSjLJVsJwKKALLMPlu1sZjKuDyisspr4ljLRJeQN1sdF/A4JslmyMCTgjBXReewvVnDSP/QCVtM1JIT3ZTWuM9pOUFgFNX6doulCZRUbDrkvxxaN/i8AXjM7fsiLEusaVkye69GJaF3niA52HIaZGOR9ej/dwI3YfCiir8hhmTnj0edEnPYE9VRcx2w7ZolxQ//dscfjNgPAv376bGCOKzDJyKiqaoPDr8HLZXHeCmhR9GeaspKHRLa80/R15MG3f8iObig9vjWncELJMZhesTAi5BggQnhMMWvAghzhNCbAd2A/OBPUT7sSU4GoTAbjybqAFSgj9gcdekR/jy1bksm7mBNx/5ghtH/4nykio+eXkeRmPbioDJhmU7Kdp77LqefnbDOJzO6A92p0vn0qkjUbXot5GqKjzy8KXcfvtE1BZObIeC1BSkU8FI0bBVgekQGKkatlPBdiiYHpVZa3YQCDQxb/MHIIRolq1IaN/YbcluJz2zW5OeHIouCmiyRkwCqKBoClPCHamb84pDWtEmxiDHqancMfHwlgKHys41Tt0VV9WwJr+QSl9sCrGOU7t2wqGp0XVrEixb8tW6XC555V28cSJ0dZR7fazJL6S4ugZbSjbtL2HT/hJsKakOBFhTUERhZRUAeyrKWVtUhM+IPd8dg0fi1qLfTy5VY0q33qQ5f3hTQBtPCrPOvZlfDxjHOdm9uKTzAJ4ZcQEnpbXm1a1LCTRqfjBsm9yKkrj+dnUcKkGayJ4mSJDgRNGcr9p/BUYAs6SUg4QQ4wlH5RIcPZ5kJ7ZpIhFRH8hSSqQ/5JpiIBBGfdF80G9QcaCadx77in07DsQVgLpDoyS/nHbZx6ZodtQpPbj7t+fw8r9mU1lRi8vl4LKpo7j8mlFx91dVhY0792Pasv5TLvy34VFD77yGn35C4A0YfD1nIxeddWzsL7Jbp5PkchBsHIWru13hLlK3U+fckb0Pe76MZA89s1qRm18cpcekAFSwHAKvYnPv+9P4x9Rz2XugAiUIUgv9qfu6JIDrx5zM+F5dD3vNs3v14LMNuRgNvOdUIRjTJQctLCZ9hsE9n37Dwp15OLTQsPurhw3k1xNOiXpPvb1iLY/PXoAID2uPPImw550fi31llXywaj3XjRzScBnYUvLwd/N4f+0GnJqKzzBRFRERtEKEpjA4VY2gbaK5VIIyFCG0bMnvTj2Vqf3rx74Nap3F86dP4Y8Lv6OgpgqHqjG11wB+O7zpBobmkqI7Gde2G2+t2UBhTR6fbtiGEIJ2bbW4Ezccikqht7LJkVyjW/WISckCOFWNs7P+J6b5JUiQ4EdIcwScIaUsFUIoQghFSjlXCPHocV/Z/wi7N+bjsE38QosO0lgWBAIgBEKJ/ZpvmRZLpq9j/OWj2bExH9OINjcNBk2yj/Gw+4mT+jHhjL4EAiYOhxbVuBCPRSt2YcUxva2zjWgc2ggaFnMWbT1mAm7rrhI6uJMpr443oSH0R9MV3KkO7n39a4QN/du14e7LxtKzU/yu2EevPItr/vUBftMkEDRRNYUgFlKGRI5tWazaU8B9H0xnYOd2bC86iDBtpFn/lB2awlWjm/cc7x0/hvnbd3Og1ouNRFcUMpI8/OXs+oaPP30zm0W78ghaVsTk9t2V68hpkc5lQ0LN4nO27uSRmfObnCQhFcAGv2kyPXdbRMAd9Hp5ccVyPtu8mQqvH6QkEDARCExJ6H3aAMMKYjkkGCEX5ED48b99P5/uGS0Z1qE+RT6uY2e+v+JGfKaBQ1Fjopvz9u7mhTXL2V9bzaj22dw+ZARZyYdv3LBsm8u//IDi2pqof1P+Ui+aW8GU0fcgYJl0S2265i5Fd/NQ/4t4cP3HQOh1VoTg8pyR9Gvx32kOniBBgv9+miPgKoQQycD3wDtCiBKg6XxDgiPCnezCtiwwDNC0UM7UNCFsU6EkuZG6AyyTxgVYqqow5fqxTP9gGZblR4Yf13SVfkO74PYcWyd+CKXtXM3scnW7dYgtcwqfKP7mlORj03ixauNefv3IZwSDJrQQoRBR3TXrbqMKlgNKqmojkxaW5Oez4W/v8897LmRwz1iftk6tWjDz9zcwZ+MOCsur+HxNLrsPlkftY1g2i3fk0X/0MHRVxZQ2tgpCgktRuXhkf9KT4jvqe4MGC3buwbAsRnfJ4cWZS/EX+1GkDJntKBLbNiMjwvyGyTebtkVNJ5CA1zB55vslTOzZjT2l5dz18bSIeJOEBVtYxAoRHhcWFnEpztBrUO7zce7bb1Hu84UsRwSgh2bDiiZmu0sRLixs9Pr6TJNX16yKEnB1uLXY99NbG9fwtyXz8YWnOeRXVTJt51a+vfRnhxRxUkre3byeMr8vpknC9qkobhsFETEDdqs6U3L60crVxLDTMKe368egjE7M2b+JgG0yptVJdE5uWvQlSJAgwfGmOQJuMuAHfglMBdKAPx/PRf0v4Q+aWG4PwilDaS0hwOcHW6Kkp6I5NEwjPA47GAw9RuiDCtMks206z3x1D68/+jUr5uQS8AXBMNi8cCtX9vkND7xxM4PG9johz+2iswbx0jsL8Dc09JWQ4nTgTHFQWlEb1bzhcurHLPr2j1fnhIbZA1qtxEyChqpCFaB5wsX8dZvD6cZazeKJt+byzsPXEA+XrnH2oJ4AfLByQ9x9DNPm37NW4lctgkn1pzd1wTkj4r8eC3bs4c6Pvg6nPWUobeq1ISiRDrDdoejPAenntOde48kpZzEsO1oQ1RkHAxzwehn11IsoMlwLGPakk436HhoeA7C1qpRSr5d31q+j0u+P+MUR3k9qIC2JOGR1WCwlNbH+bPHwmyZ/X/p9RLwBmFJSGwzy7Kql/G3sGXGPqzWCXDPtYzYcKI54xDXEsmFoUjdS0hUWF+8mVXdxbY9hXN1taLPWlelM4dKc2OkQCRIkSHAiOKyAk1I2nHnzxnFcy/8clmXz4A2vhQJrokENnNuFnpaEYdiYph16DJAOB9IwQ9E60+RAcTUX9rgXBAwe2xO7xgcBA5P6EOmfr3mBdzY9iif5+LnFL1+8nVf+OZuCfaW0bpPGtbeMZ+zEPlx49iC27ixm7uKtaJqKbUs6ZrXgyT9dTFW1n7se+pDa2gBCCIKmxVUXDGXogE5HvR7bluwsLMV2EqlzU4Ig9VAS0+3SyWqZwray+G44UoUd+w4ipWRR7h6e/mwBeSXluDw6BpKAYaIIgbQkyS1cqELE1khJ8Jomhpv6rldCdh03vfk5Z3bpxterN1OrmkgN3LqGFys2xekAzQAriajIlmnb3PvFdObc9nNaJrkpqqrBDour+hsBigQTG6mD1OvvBxbRAqzB/x6oreX+b2dSbvojKdAY6iJ4MTcv/u5OVWV85+ZZlORVlhMvRGtKyeKCppvf/7ZkfrR4q3uuYTyazjmde3FJzx822ipBggQJfkwcaph9NXGG2Nf9LaU8chfRBFHkrtpDwB+n408IjKAV0+ImhABdQ1ZWIdJSQVXw1YYaHRZ/uz6SQm10KpbNWE+r9hmsmrOJ5HQPYy84mcx2zR99dCiWL9rOX+77KDKhoWBfGY8/9CXBoMnpZw/gD3efzc+vGMW2XSW0bZXKSV3bIIQgPdXDJy/cxPrN+VTW+OnfM4sWacdmTuiK3DxsZ/29EwJUS0IAkpMcPPOri+md04ZT73+eKm8g9gQSUjxOFuXu4d6XviZgmFga+P2BmDRsWakX2w2q0kDESVD8YLmImyouq/Xy4bL19eJOQrVhhFKYcfY3m9DeQdPijg+/4pxeJ/HGqjX4hR19vAK2HRZ1WqNzayDNcBSt0TVNKfl+dx6n9+yKIkTcwv9QGlZGumxFRA4KhClD1xQgkWiqgqoLVF1wwFtLK8+hX+cMtwczTgQNoO0hLEY+255bL94UGxGemiADKk50OqamcV63nlQGfHyZl8t+bzVDW3Xk1KwuRzxNIkGCBAlONIfygfvhZkwJmkXAF2zShiBOjX+YkIgTSvSnfUS8CUHDvKRpWXzy/CzydxYTqA2gOzTefORL7n/lF4yYdOhpaDU1oXRt8iGid6/8c1bMzNNAwOC1Z+cw8az+CCHIapNOVpv0qH38AQNfwGBA7w6HdLK3bUl5tZdktxOno3n+ZM99uDB2oxCgwXXnDKNPp1Bzx1XjBvPS9GXRUS8pcZkKl50xiKc/W0DAMENarbG4CgsvAWh+sD3RAR/bGXIPiYeUYNYJqsPpBgFCaTKwxdp9+9lRWIoVr9xRhERWjHirW2i45i2yrkZXmTpgAHN274pKZQpC81yFTr1gVeHCXr1J1h2s2FdAx/Q0hnZqz9y83aw6UIDfMqmxgzyzcgnPrlrKK2dfwOgOOU0+5VaeJMZ0yGFBfl5UbZ9b07hl0LAmj6sTb8JloLgaCECXxamtOvH0KVPYUlHC1bPfw5Q2fsvEo62kZ3pr3p14JU71+PvfJUiQIMGxolm/sYQQY4DuUsrXw8PjU6SUu4/v0n769Dm5c/wuzSbGm0kp0W0Dy+lAxhM9Ilysr4Ymb0tNxdcmnS1BCR1bgz+ILCxD+A0evelV3t/8GE537Cd/QUE5f3vkK7Zv3w9A9+5t+d3959G+fWzUrmBf/DRkWWkNhmHhaCS6an1BHn1pJvOXheZQtkxP4rc3nc7wOKnT6QtzeeqdeXh9QQSC88b15e6rxh12MH1eUXnc7UKByWfUW1nccMYwyqq9fLRwPVZYADsMwUUj+/LzKSN4ZV547FpTIqsunekk+jUTgNJA0MU7vrF4a0KhuXSNFoqTQqM27uPCBq9lYNSlR5tY4yGvL8NCr8G+yS6dwVlZPHrGGTwwezambWPaNtlp6RRUVEZEXd2yv9mxjRW33IxLDzUkBEyT6bu2U2MEI+etS8feOuMrVl13a8QGJR5PTTyHu2dNY2F+HpoSer3vG3EKY7M7N3nMKe1zmF+4C+GyYr4YLS7bRUXQx+0LP6fGrJ/M4TUNcsuL+feWldzUJ1HfliBBgv8eDivghBAPAicDJwGvAw7gbWD08V3aTx93kpPb/3whzz7wKYZhYlsSlyfkW2ZV1SLTQkFQIQTSluia4PEv72XX5kJe/vPnkfRpHYoisNXQh6IUArNDZkTMAeByYHZqjba9EEURbFi8nfScTD7/fBUHS2sYMbwr48b15I4736Ky0octJVKBTduKuP6m13jnjRtp2TI6MNu6bVpcEZeS6kLXY4XW75/4kjW5+RjhLtv9B6u477EvePnhK+mWU9/Vt3T9Hv7+6ndR80i/mr8R07K57/pDz0xtm5nK7oLYMVVJbidJDQSrqijcf8lp3H7uaHYVlSJsSZesTJI9Tqp9AdwuHb/XajL6hQzrtiaEU1Mp0YbH1z0uAGkDar3wc+s6E3t25YFJ4xj52AuYjW+nFepsBUKRtHi6tqnFhztQXaqKKWyMRjvWmgYPzprNI5POYFK37uwuLyfN5eLB2bPZcTD+CLBl+fmM7RwSWL+b+R3L9+fHtQq3bJt1xUUMadf0eLgUh5NXz76QA95atpcfYEHJLmYf2Mr+tRWMadeZb/blUuitZFSbzlzaZRApupOHxkxg0le7iGdDLAR8uGstZX5vzGN+y+TT3RsSAi5BggT/VRx2EgNwAXA+UAsgpSwkNNA+wTFg5ITe3PHAuUycPJiJFw7h3scu59q7T8epAWXl4PUhfX60gI97H7mYk4Z04bSLhuFKcqKo9S+fqiokpbojUTiZ5Ay1Wjb0ahOhsIsdrjVbk1vAHXe+xfQZG1i+fBcvvjSXn1//Kl5vEBtZbz6rhDoDr73pVSoqoj8Ar7lpHM5GtiJOl85VN5wakxotLKlk7f+zd97hUZX5376fU6akFwiBUEPvRUCqIF1AsYOI2Puuuq6u5ec2XVfXLe6uq669osCCvaEoWFCk9wihl1ACJKTOzCnP+8eZTGYyEwiK4O577uvyMjlzzjPPOYnOJ9/2KdgTEW81GIbFa+8uizn2/JuLY8QbQDBk8sGX66mK8jZNxA0XDMJXJ/Ln82hccXb/hLPrUv1eeuY3o0e7PFKSvBwur+KCh152okc1+jcseOI4itGDptafH1eM2q9r8CoKbTIyuKRvDy7s3Y1/XXw2fz53HOlJfi7q0Q2/pTrdKZbTlKGaUUtEOmlr1xMCRrXNp2VKGkodJakqgrM7duT5i8+vjZJGnRKyLN4uKKA8GERXVTo0akSTlJSEllIQHn+ydTsApdXVfLBpU8LaOWe/EuUo0bdoSo0qbvx6Li9sXMoXe7fyzHeLuezzV5m1dSWf79vCo+sWMmHe05QEqwhKk7Py29dblqApSlyauAa3Bs7FxeW/jYb8XzQkpYx8fAkhTkyluQszHpzLxbnX8tgNTzH/8XfZvXg93fu25sKfj+OK31xAarofpbqa7BSNX/z1UoZdcDoAXr+Hv7/3S3oN6YCiKiiqwmnDOzPyotMjqTypqSQM/6gKUldBCN6et45g0IzYTQWDJqWlVQRDpjNqoiYlG6ayKsQrM7+OWe7MMd34+a/OIis7BUURpKX7ufrmEUy6OL5WaV9xGZ4EUTlbSnbtjY3i7S0+kvCZqYpCSVl8FCWa4X3bc89Vo2mcmYIiBGnJPq6/YDDTxvc96nU1PPfJEg6XV9W6H0QJOE1RItlHIaF14wxaZmfEiQavpnJ2j874E/mKClBM0Ctq56lpisLoLu2Zde0l/Hb8SB48ezRD2raKiOBfnzOSywf0Jk3oqEZU5I0ol4doERf+evG6HVTsD6AGQRMKihB0atSI1ydP5u/nTGBfVQVVUWnO6GsVIThUFfusL+zWFb0e8TVr5VoqQyEOVFaiqyrCEgkFrk/T6dE48aDkuvxu2cdUGMFwfZvECj+wmjluAcukuLqc0e8/xaQPX2TersKEFQhSwsX5vWiaFN975VM1Jrd1HRVcXFz+u2hIDdxsIcRTQIYQ4lrgKuDZH3db//t89ea3zHz4TUKBEKFwRKng20Kmd7yNtOwUThvVg3998Tsyc9LRvVpcNCspxUf7rnnsLdyLL9nLgNFdychJ5+1nFzgm7UGThK0Qto3Xlkz/w0U889ri49qzbUu++rqQn98wKuZ4267N8LfLZF+RxNJUdhwpp2akXTT5LbIJGfEzoHVNJSc9hVt/+RrFxWX07N6C/LxsDpZWxH0YK4ogJ6s2AGwYFnM/Wsm7n63Dtm3GDOmMlqbz7tcb8KR6uHxEN6aP7UuSr+FDjRes2RJjXQXOU/TpGrN+NY1mWaloioppWXh0jR0HS5j271kEDZOgaeHRVDo3y+E354wgNdnLrKVrkdJGEQpBwyTZULFVia4q5Gdn8++bzifZ64lxIpBS8u6qAl5etJLyQJCRXdpy7bD+3DZ6CPvLy7ni+TkcqqgiaFoYHhmr6CJrQBCbUNBG2mALm+zkJEa0zqd9lmMb9cnmzfUGEW0paZoaG2wf3qYNWT4/+ytja/KE5QyQXl20j955TbFtG2GF08hRml1TFJ4+69x6PWXrsvTArqMFOQEwpE2pUYllqU5aWREoikRXVFRFICXcf9pZ5PhTeWLoeVwyfwaGbROyTHRVpV/jFlza4cTMH3RxcXE5WQhZT5oj5iQhRgNjcD7H5kkpP/mxN/Zj0LdvX7ls2bJjn3gSuHXIfWz4emPtAaGAokSEmqqpJKX5eWr5w2Q2SWfZx6sp2VdKZl42xfvKmPnX9zlyqBwz5EQkvEkehkzszdpl2zmw+zBSCKxmWUivHkmjKoogI9XHU89fQ1llkBtveolAgjEmknBUJ0FaKb9NY55/8qrI9zt3HWLaLS84EZGa8yV0bZfLU3+eFnf9b/72Hp8vLYwIJEUIPLqKdsTECHezKopAT9KpTlciw3jBSYPeOHkok8f1cd5GSm5/cC6rC/ZEzjNTFGyttrnSo6u0yc3ipXsvQT9G80MNF//pVTbuKY477tFUPvrd1WSnxQehg4bJZwVb2FdaTvcWuZzWOi/ys9xSfIgvC3eQ5NEZ0TGflVv2UHS4jE7Nc+jfvkXEm3T17n1sPnCI/EaZzFuziTnL1lEdFry6qpCdksTbt04n1efFtGy+LNzG1oMlfL5rO9/sSiB0JGiVYHvAjmpy8KgqzdJSee+Ky/jDwgXMWrcuYbpzcrdu/HFM/NDcn73xLh9tKqydBSedMSJJus6rUy+ke9Ncnlj8LU98+y3Vpum4M6iO5+iciy+hW5OGRd8Aesz+S1TTgUSoMmGKVNpgW7U/X4Gke6M/qQhBAAAgAElEQVRcLmrbgzF5Hcnx1wrRatPg412b2F9dQd/GefRulBf3B5KLi4vLTwEhxHIpZcL0UYO6UMOC7ZPwYqoQ4lIp5YwTuMf/7zhSXBZ7IEq8geN1Wl1ezXP3zWTFx6uoqghg6V6kpiPCUYXo8FSwKsSX76zgnuev46FbZhAKGKgHy7HSktAyk0hJT2L4iM5Mv3Ioqal+MrJTyM1NZ+fOQ5EUag0isnRsGM3n1blgUqzJ+SOPfRQr3sILrN+8j207D9KmZSPA8Wa959dzWLdhD6oGlgoogkF92rDmm20xo0hsW2JUGQzsmU/QL1i/ZR+NMpK58twBjB7YKXLe+k17WfNdUUS82SqYamzUMWRY7DxQyhertzLytPbH/sEAlw7vzQMz58dF4Vo1zkgo3gC8usZZPTomfK1t42zaNs6OfD+6V4eY1yuDIa5+cS6b9h+iJucYMEykVXsnhmVTWhXgP0vXctXQvmiqwpmd2nImcFpRHpfNnBMz7iNSsydjxRs49W37Kyp5e0MBU3r04M2CAgJmbGQ0xePh/lGxkdbI8+nTky+2bY+IS8LLZyX56ZbriLMbT+9Ps7RUnlyyhIOVVfRp1ow7hw6hQ6NGCdesj4vb9mTG5pUELdN5l5rf+Tp6S9qxBySCZNXHtHbx/9/zazqT2nQ9rn24uLi4/NQ42iDfNOBmIA94B0fA3QzcCawCXAFXDysWbuCZ+2azq3AfmTnpXPqriYydNiRGoPUb14v92w+ETegT/PXv0bE8Hha8sxJpmkhboGh6OFoTdZ4SntaK08jwxO/ewjCcIcAC0Mqq8RoWV11/JmdNqe2yE0Lwxwcv5I47Z1JSUkl1VShGhAmrxnJJkpTsxTQsxo7qxvg6s+MKtxcnjNQBfL10c0TAvfTKV6xbv8fxJg2CHt6veTCAkmCSim1LthcWM/PVG+t9zms37qHaNrHC9ql2PQG26qDBik27GyzgurfMxbZkXP3W7n2llFcFSE3yUbjnII/MWcCqbXtJ9upMPqMX1447HS2qseTDpQU8/u437C8tp0WjDG47byhndI93I3jkoy8o2FscM/MMiHMSCBgm32zeyVVDY0VJr2ZNuWPYEB75/Et0RUUiqQ4aKJXhn2GCTHq1YfDNjl1M7tmd+4YP54GFCyO1bT5N48ULLqh3zMfA1i25edDpPLZoceT90nw+np98fuR3XAjBuV26cG6XLvU+54ZwZ68z2VZ+mG/270BTFAzbQtcEEokqFEK2iWHJ2v8mhERRbRQB68t282TBIq7rNLDe5gsXFxeX/1aOFoF7BSgBvgGuwRFuHmCSlHLVSdjbfyVrFm3k95c+7niSAsV7DvPkPTOpKg9w/k214y8uuec8Pnv9KypKq+IjYMl+RNhQHMsCTUPR4uvgatsjHUxNpbgiiOX3oAQNhOkoo2B1iNlPfsqezfvIycvizHNPIzUzmdzcDF55+XoKCoq4+9YZVNQICCEQUoIJfsvm3t9NoEO7XHIaxxeAp6X4qCwpTyDiJC3ysiLffThvrSPeojCkzbJNu52IogJoAlsVKJZECUkaNzp6s/Pigp1OJO8Y03A9mkpuVu3eyysDfLx4I3sOlNK1bVOG9WkbM1vuw6XfodhhXRz1iBVNYeGarfRpn8flf5tJVdBJP5eaFi/NX8aeQ0f4w/RxALz9zToenrWAQDhKtW3/YX713Pv8+ZoJDOnahiWFu/hm4w7Sk3y8s7ogXryFb0tGjWdThKB5ZmIDlMtP6815XTuzbHcRKV4PB0squO+NTxyBm+Dx6IpC83RnrUt69GBix44s3bOHZF2nb17eMWvUrh/Yn4t7dWfF7iIy/D565zX7UTo5varGc8Mns7XsEFvKDpGfmkV+WjbrSvayv7qC7llNeWPrOh5bu4hqK4Sq2ZFfxSorxBMFX7Gvuozf9znrhO/NxcXF5VRyNAGXL6XsDiCEeBY4CLSUUpaflJ39l/LiA29GxFsNwaoQMx55l3OuPZOyw5V4kzwUrthOoNpCoiCErGnxRaQmI/z+2ot1HWEkmmwVi8xKJZBZK3jsZC+iIogStorav6uEuf/+DI9P56U/vcfDs39G+x4tEULQpUseV1wxlOef/JRqQKoKwrJJAs6/ZACdOjQlJTmxG8M1U4fwwOMf1dmMxOfRGdK/NuJlGLECxfQKLF9YJAgBHjXytS0lwi+YMLH+zsCyygArNu6OOSZqInl1OihsKTmjVz6Hy6soOVLF9X+YhWFaBEImfp/GkxkpPHnPxTTOTAEgEHI6cwXERMCk7figvvzpckJ17idgmHy8YhO3nDOExunJ/OudryPirYagYfL3N79k9jdrWFq4m+qQgUdTCfisY2lQwBGiUwfW/0zSfD5GtAtH+FpA49RknvtiGV8c2Ikh7ZiAoqYqTOnVPfJ9qtfLiPyGeZXWkOn3M7J92+O65vuSn5ZNflptGrp7VjNqdn9j14F0yWzCvcve5UAw9n9PActg7rbV3NZ1GJnepJOyVxcXF5eTwdEEXEQ1SCktIcQ2V7wdm50b9yY8Xlke4JJudxEMGEhbYgdDGDURqXC6E11D+P1xkTap6xAMIuvUyUFYX2gqdmZqXBRMpniRQQNhWcjw7LVQwCCEwQPXPMtL3/4+st55UwdQWlLBW68tRhESy5Z0HtCGtz/fwMx5qwHJ6BHduPWmUTHuCmNHdWPz9gPMfH9FWCBIUpO8PPnw1JiZaz27t2DRYsd9wVZwxFvMfkXUKAsBCny+agvjRiU2Ht9z4Ai6psYIKQGoIbD0yJNBAqpP4cKHXgYhnMhawESxwdLgiGJypPwI4+57lomnd+aeKSM5s1db5n61lupQrHC2pWRI1za8/e36eNN5nIaJHQdKyEj2cag88aiT7QdL2FNeHlk7ZFoIk4h3aOReBKR4vYRCJqqi4Nc1/nDBGNo3OXYNmWFZPPzB57yxfD0AKbpOUraX4spKFEWQ6vXy1wnjaJ6efsy1/lsY1iyfDK8vTsAB6IrKzsoSV8C5uLj8T3E0AddTCFFTaS8Af/h7p8bdNbNPSLP8HDat3B7/gqZScaS69nuhoKQkY5dX1B6qSZsmQgiwHWeEmq5FAFlZjcxKjYs6RfBpUG5G6uRqKC4qZcv63bTr1iK8vGDSxadjBi3Wr9pJWtNUvv2uKCbtOf+z9ZimxT13TIhZ6+ZrRnDNZWewcs0OGjdOpW3rnJjXq6tDrFm1I1KAbusJ0nN1i9IlLFqxlcdfXEjhtgN0apvLBRN60zjsBNG0UVrcQGBbiSrYN506PjtVUG2ZseVsKU53puUl8sxsKZm3fCNB0+ShK8czqk975q8opDpkIAR4NY2rzzqd3KxUOuQ1ZsPO/RH7rRpChkWLxhnomkp6so/SimrqoulqnDDUgo43qq6qhCwLn67h1TRmXX8JSbpGRTBEy+yMo6Y1ywIBXl+5lm+27eTAkQr2HDgSeT5B08Tcb/HAOSPp3aoZrTIzGpTu3FlSystLVlFYfJDezZsyrW8vGqX8NMZAGrbFO9vX8+7ODaRoXqa2603HjBw2lx3ErlO8GLJNmidn1LNS/RQHKpixeSkrD++mfVoO09v1p2VKvJ2ci4uLy6ngaGb2DZu54BLD9Hsncf9lTxCKHs+R6INXCNBUx+oqMjC2/g9VRVXoP6gNSxdsxJIgbRtChqN06hkFoygCj65hmPGz1wDmz1lCZXmAJs2zMEyb2y57mlDQxDAsQnt82J7YX4FgyOTThRuYPnUQec1qP8iklOwsOow/2UvzpvEfcAsXFmCYNlIAtqzf5b0OpmUz5/0VmKbNmg17eOujVTz58FTatGxERqqfMQM78cnijQRDJpbujMsAnOeoSmyJ856J1vYRF80MGhYLVm3hSGWA3182homnd+bjFZvwahoTTu9Ml5ZOh+X0EafxwdLvYoSYV9cY0qU1uZmpBEImZ/XvxNwv1xA0rIg29Xk0WuVmUbD7QMz7Cgnphs45p3elzAjRqUljzu3ThXS/k7ZuzNE5VFnFuc/PoLS6mqBpOWFHDRSLSINIwDCZtXg15/duWPflqt17uXzGXAzLwrRtlu8q4tVlq3njqqm0zDp+MXQiMW2baZ+9xvrD+6iynJ/BgqLNnN+mG15Vo9qq/bn4VI2zmnch23t8wnNHxWEu+PQ5ApZByLZYVryT/2xbyctnXEbP7PotwFxcXFxOFg2aA/e/wsmaA/f+i5/z2O2v1gorXUMkEHHStrErqxCKgkjyAwI8esKZVPe/cA39Rnbj7zc9xyczvsKMiowpfi+yUyvqBITweDR6ts5kxacb6ryxBFVB0TX8yV6MkIm3UTrllcHIlgON/Y64TIAXmDihNzffPJo9+0q54w9zOVRSiao49Wu/vG4044Y73Ye2Lbn+jlco2La/dgFLYnvrplCJrwOzJGqd2v4+3Vvyj/svBsA0Lf4992v+M38l5aoZn0IWoOoCs+6DCa8tEhSeJfs8vPDLybTPO3qqcu32vTw481M27i7Gq2ucN6gbvzh3KPNWbuLBOZ+hKIKQYWJZEgxJTkYKt0wagt+nc++rH8VF4TKSfXx6//UxXawN5YGPF/D6ijXxaV0JanXtY81OSeLLu69v0JoTnnqZwuJYz1NFCEZ2yOfxi8457j2eSD7YWcCvvn2PKjP2GXoUlX8OnsQ/1n9OYVkxflVnaru+3N5tOLpyfH+P3rhoFgv2FsZF8zqm5/Du6IY9QxcXF5cfyg+eA+dybCrLqpj9l3dYOOtrNI+Gx6vVRuFsGylEnDAT4do3kRRV92ZZoKrRJzH9jrPoN9KpBbvgtvF89dZSKgwnLah7dBo1TWfiTSN48ZkvEIrTuigl3HjbGNq2ymblZwVI20ZqquOD6tWdPVUEqCwPABAsD0QEkASEaSMVES+ypMQwJO+/u5K8vExe/WgFxYfKY4KAf/73x7Rt1Yj2bXKY+8EKNu8+FLuOCiJkIz0KmqpiSjumWUDXVIyQiRIOJtk1rmASVm7YFTlP01R+NnkoPTrn8X8vfEhlXY9USZyoJbyUIoUTCIwzqrBp3vjYtWHdWzdl5t3TsGwbJfyzLdh9gD/859OY5gUhoElOKh/++moUxUl9j+vTkQ+Wf4eU0hnVIeDvV5/zvcQbwMLNWxPW5EVuNtzJ2j0vF3DmwL20ciWz167FkpJJnTpxbb9+JOmOp21VyGDrwcNxS9lS8vW2nd9rjyeST3ZvihNv4HTWVpkm74+9HtO2URP8N9dQvineHifeADaXFVNtGvg1PcFVLi4uLicPV8CdAEJBg9uG/JqirQcwwqMltCQfiqY7I0IsG6GqMXVqXr+HM87pw/YNuylcG9VNaYfnV0RcDWxm/vV9AofLyGycymsPv0NVeSBKMEkGT+rLhdMGc+bYHnz95UaKth4g06fSMieFjr1b0XtoB1Yt2YqRnRblb6piZ2iI8iqU6lBkVpgEpCrQqi0MT+yekRIsiVQEQVvy9HOfY2focRlcw7R4c94qfnXDGGa9tzyuVg0hEArkeH0cDgWdcSe2Y4EkBQhsNFtgI7G12msQjpf7G/NWcf7Y2m7MtGQvoQRpYgFkJPupDIYIRjka5GSkcumgnvzjvUUYphX5mPZ5NK4563T8noZ/OEfXpc3+ajWhOvcqJZRVBVi1vYg++c7E/99NGc2lw3qzZNNO0vw+RvRoR/JxWH3VJfVotZOy1gbs1tGDkFJy7VtvsWzPnsjw3qeWLuXTrVt5Y+pUNEVBVxUURcFKMNok2fP993m8SClZfaiIgtIDtEjJYFCT1ihCkOVNQhUCq84vnkCQpjtp5/pm2DWUZE2nygzFHVeFctzRPBcXF5cfA1fAnQC+euNb9u88GBFvAGZVAD1J0qJjCw7vP0JVWSVC05CKI4r6DG7HbY9O467z/5540aiISihgMPvxT6CqOjwzrjaqYARN3nnyEy6+fSI+r8bH/3ifXYX7kLZEKIK8tk148I3buetnr7BtR51ImCKQqX5kdQhCBtKrI72a0xAqJVqZgeVXkbriCAFbIjUlIniqsFCN+A9K25YcKnG8MisrgwlvT1EUykMh7JCNAs6+wpaeVsh20rFaTfgoNory5GtfcvbI7hFrrPZ5jTFMO+HA2l4tcunSNpc3vl5HyLQY3bs9N5w1kPRkHwN7tOFf7yxi5eY9ZKclc9XYfpzVrxPfl4PlVQktqYQQcQ0N7Zs2on3T43MlqI/L+/fhdx99GuOMoAqBT9VITtbonpfLbWMG0zG3MSuKilheVBTjvBC0LLaVlLBg61ZGt2uHrqqM79yeDwsKY+bT+TSNqX17npA9H4uAaXDlwlmsOeR0dStCkONPYeaoaVzctievb1mJZcWKdk1RGZLb5oS8/9T8vjy1cRGBqPfwKCrjm3f9weLQxcXF5URwSgWcEGIc8A8cu+tnpZQP13ndC7wMnAYcAiZLKbeHX7sHuBqwgFuklPNO4tZjWPNlAYEEQkVBMv6ywbzwm9lY0a8rgsXz1nBOy1sBiaIKZ/L/UZBCwTYthKKC14NITwNdc4ReKMiWNTv4/I2lbNuwJ6Y+bsd3RTz7m9mUVRmJmySEQKYnO1EwrxaJdAEoUiIqTWy/hlQEtie2bk3YYBh2nGhShGDZl4WMX/gIyXmpVIgQdWsts7OSw+lbK+G+NE3FViS2FZ8atKWk6MARWjVzBgXvOlCKX9edurI6j3HZpl20b5VDdcigrCrAmm172X7gMD3bNKNNbhZ/ve7sozz142NY1zYsKdxJoO7AYtOiV36zE/Y+dTm3W2c27DvA6yvW4NFULNumdVYmz085n+zk2NEZq/ftS5hurTIMlhcVMbpdO0qrA5iKJKTY2AI0IdCkYFTHtlw3qN+Pdh/RPLbuK1YdLCJo1z7LXRWl3P3t+zw3fDIP9B3Hb5bNcyKgUuLXdJ4fNhmPemKiY9d3GsLmsoPML9qIrqiY0qJXVnN+6w4EdnFx+YlwygScEEIFHgdGA7uBpUKId6SU0RX3VwMlUsp2QogpwJ+AyUKILsAUoCvQDJgvhOggpUwwzv7HJ7dVY3SfjlHHGF5RVUr2H3Hq0iCSvlTSUrCFiMxmi1CT3kzUWWpLZ8Cv14NITXFGiQDS7yWU4ufRhz/k8He7sOqIBzNk8vncJbSa2J9DB+sb4yeQmoqMEm9RL4EtsXxqxLxcRL2kWBLFq2JGCS1p2sgqkyAQ2FkKaTqaqmBadrgzVuXnVwznwb9/EL4gPsqmqgotctPYtju2kB6cbtjqqGHJ2elJWIlqwKSkLGTw9EeLI7pu/c79XP/YXK4d3o+ykiraNG/E6EGdSPb/8NTgxL5deP3LVew6eCSSsvV7dK4YcRpZKT/eDLIdh0pJF14u7tyVZo3SGJTfki65iQ3jm6Sk4FEUjDrpUZ+mkZeWhmXbTJkxix0lpWGPW7AFpCb7eejsMSct+vSfrWtixBuAKW2+3LuNgGlwQX4PxrXoxLLiXfg1ndMaNT+me8TxoCkKjw44n92VpRQeOUDLlCzapp2YiKmLi4vLieBU5gL6A5ullFullCFgJjCpzjmTgJfCX88BRgqnKnkSMFNKGZRSbgM2h9c7JYy5fHiMFRM4IzyS0/w079AUaTtdn6gKwutxasDqdkyqKlJVoebfuh7TVIDfh0hJRgnP4ZLh9Cc+HTwaBw5VYDbKROY2cqJqolaUWabNJZcPweurU9slw/V51Piey5gAlgSMdA9mmg66AooANXY0h2JIhvTOZ+Bp+bTIzcAXkuhHnNlpjvgD7YhBiqrSuX0uY4d14emHL2XE4E707dkKTYv/FRRCkJLs5capQ/F56/yNISXSlNx8z+t8+Nk6ABqnp3B655aoSp1nCqDIuFL0gGHy7w++Yda8lTz6ygLOv/UZdu8vjdvH8eLzaLxy2yXcMmEwvdo05YwubfjrlRO5YdzAH7x2fcxZupbzHnuVpz9fwqxv1/DkJ98yY9GquIhnDSPz8/FpWpxO1xSFszt25KvtOykqK8eIEsS2lFSGQny4sfBHu4+6GHb9f4uZ0tlbsu5hWLO29M9peULFWzTNkzM4s1kHV7y5uLj85DiVAi4P2BX1/e7wsYTnSClN4AiQ3cBrTxpZuRk89MG9NGndGK/fg+7Vadu7DX9d8Dv6jevlGNaHRZtQ490UUJQYUReJrqnhqJjH41wbdZ70exyBJKKje4Dfi2yWA/l50KoZ5Dcnu2c+Awa355qbR5KU5MFTI4osCYaN5VGRfj2yj5qPfssXrn8TsRFElNpMpc+rM+Xcfvz5/85nZO92yIoa8SYiaVepK1SUBjBKgvzs8uHkt3Imm/32l2czqG9b1CgRp6oKHds24V8PTmFI37bcMn14rYiTzgw5YdqEQiZ/+fcnlFc4XbR/vHo8OWnJtdFLKRFHiceaitMgUW2blASCXP7bVykuqaj/ggaS5NWZNrwPL906hceuO5fBnVv/4DXro6SymgffW+AM6rWdnsnqkMFHawtZvHVXwmu8msbMyZPp2KgRXlXFp2m0ysjg1YsuIsPvp/DgoYS+rFWGwcYDxT/avdRldPMOaHUM6AXQJbMJKfpRmjZcXFxc/j/hVNbAJervrxs2qO+chlzrLCDEdcB1AC1btjye/R0X0pZ06teWA7sO0X9cL86/bQL+sH9oXsdm7PyuKHIeUjpirCZqUM+IEccmq060REpH1KmJ5qiFj/s9Ma8dqjJ54YlPueaWMYyf1Ifv1u3mnutfwjQsLK/mRNai1xLCGTuSpNU7XFgIR7yNGt6Zrp2d+q6WLbNRfRohER31qp22tn3XIX5132ye+uflAKiKoF+XlpQXV+Lz64wa0ZX0xsl8tPg77n9+Hv27tuKCET1Zs3YXH39REF6tFsuyePPDVUy/aABrNu4hTfFQbDjdqzUbSDhcQ0qncjLq3sqrQlz/x9nM+dOVMRZgP4TNRQd5dcEKdhUfoX+HFkw+oycZKf5jX9hAFm3eEY48xQquasPgwzUbGdg28e97flYW70+fzt7ycmwpaZaaGvn9a5udiVdTMUOxTy5J1+nQ+ORFoX7V60y+3red0lA1VaaBT9XQFZU/DZhw7ItdXFxc/j/gVAq43UCLqO+bA0X1nLNbCKEB6cDhBl4LgJTyaeBpcAb5npCd1+HtJ+bx7D0zCFWHkBK2rtnBgplf89jiB/En+2jePjci4DAM8PuQqhr50JRSHtXLXKphsWdaCNMCPfHZEmqjclG1apZl887spVx500h0XaV771b0H9qeb77eHE6Hxo60FQKatczGSPewe198alHTVIYN6MCkCb3o0a05+w6UsWdvCQu+3URQr8mdEo6EgYzqc9ix6zCbtx6gRV4mN9/2Krv3HCYYdGqdlhbsIpiuYkuJLSVrt+xlzmer6d+yGeHxdjFYluTFWV+zasseVmzaQ3XQQOrhu6kJGhog9QQ1dsE6fwcIOFxWycqNuzmtcwt+KF+u38adz71HyLSwbcna7XuZ/eVqXr/rUnIyUn7w+uCkPRMNI1aEaFAxf9PU1LhjZ7RpTePkZIJmWaTZQRGCFI+Hszp2+MF7biiNfMl8MvF63tmxntUHi8hPy+KC/B6un6mLi4tLmFOZQl0KtBdCtBFCeHCaEt6pc847wOXhry8EPpNOcc87wBQhhFcI0QZoDyw5SfuOoaq8mmfvnkGwKhQRGMGqEPt3FPPR8wsAGHv5MHxJ4bSPEBAl3pxDIq5mSUrpRMYyUiAtGZL9kJGC1DWEYYJpxSgaKQBNqbXn0pSYWjXLtCKF/zNnfM3iNbuw/Vr4GhFb+yYhIzOZy6cOwueNn4mWnZXCr++aSKeOTbn3wTe57Obn+L8/vsWiZVvDtXSRG4uLlQaDBhs37eXj+evYs6ckIt4kUJns2CTVjOIIGRYlZVWEdPB6Ev+tEbIsvl6znUDQcJoqDCLCEQlqEJRg7bFUjwdPpTPIty5Swr5D9TV6NBzblvx+xicEQmZ47ItjWl9aGeDpjxb/4PVrGNqhNbaMjzF6NJVzenf5XmuqisKsaZMZ06EduqKgCsHw/NbMmX4JPv3k/r3n13Qmt+3FH08fzzWdB7jizcXFxSWKUybgwjVtPwPmAQXAbCnleiHE/UKIGq+e54BsIcRm4Hbg7vC164HZwAbgI+DmU9WBunHpZjQ9PtoRrA7x1ZuOpjx9XC/GXDYUj19HS/IljLbViDgZ1YEq0pIjdWmRNGeS13FIKK1wRojUXFOTUo3+R62d2ZaWkURyio8l327hlZcXEQqFbZ5qhKRauytdV+nRuxWjhnVh6MB2eDyq00krnGG7I4Z1YsWSbUyd/iSLvt1CKGRRHYifjF97c7VfSgkzZi7mi682EYiamyfr0QamZVOwcz8Xn9M3cd68zqN3OmNxLBgkKBK0EHjKwVMumTqgJ7mpiSNgti3p3CZx9+bxsLekjIrq+LEylm3z5bptP3j9GpK9Hh69ZCI+XSPJo+PTNLyayjVn9KNHi9zvvW52UhL/nDSBDXfcwnd33srTF55Ls7T4aJ2Li4uLy6njlM6Bk1J+AHxQ59hvor4OABfVc+2DwIM/6gYbQEpGClaCWWUIQXVlkMUfrKTfmB7c/LfpnH39KJ7//VyWfrU5zuJJSomwTLr1y6dZfg6tu7XgxWe+JJhIGHkcBwUOlyM9OiT7IIGIBEAR6JrCtbeNYcO63Tzxz4/j1xROH6p0Tsfv93Dexf1QFMHtN41h+dqdlJRWhXsDJP95ezmzX1+MqYu41GSkpTURYWFaUlJJyxZZkYkpgFOsVk8eWRUKV00ZzJoNu1m1fjcSsLxh14Z65ufVVyT57hfrmH5Of55/ezFllcFIhMzn0RjYvTX5edn1bL7hJHs9cS4BNaQmndgC/DM6tmHhXdfyacEWgobJ0A6tyctMbAUWNE0WFG7lcFU1/Vs1p12j2HstCwT4rHArQctiWNs29QpdFxcXF5dTj+vE8ANp15EvXOUAACAASURBVLs12U0zKdq632lQACdFqqrs2LSPh696kqRUPw/MvZ1Hrnicoi37sVPSEnqjarbFr1+8gbSsFFZ+uyWmOzOCEGQ1zaDkSDkSDaFrMZG2OKTkzt+fx5tzllH43V6Ctu2otMQnoyIwq0MU7SohMyuFeQvWUxkldMAZTFtfHV5Caq6teTyKQv++bVi1emckharYoIQktodYUSgl+3aUcNn1z3LlZUNYu20f5f6ouxWgmKAaUccSPIyakSLFFVU89p8vAeic34QDhyrwejTOP7MHU8b0afg9HYWMFD/92jdnyaZdMfPxfB6NaWeemPeIJs3v47w+XY96TsH+YqbPmINpW1jhn8eELh3544TRCCFYsHkrt771PgKBRPLAxwu47YxBXDMgoYeyi4uLi8spRtQ3L+p/kb59+8ply5ad8HX3bt3PPeP/SMn+I1iWxLBiw0mKIkhOT6LyUJnjkqBpqNmZMd2nOhb3z/gZvYZ1BqCyIsDUEX+KCJwavD6d6TePpGOHHO6+4hlMjwepKmELrDqiSkpEwCAlM4mygBke7UF812n4XKXajOw6Nc3PzHm/5P6/vsfCRZvib9oOO8XXFZk16d/wI1BsnHElUah+jZY9mlKw1bH8UqtttCobI0XBTFZiewtMZ9acNwh9e7Tk64P7CNYZgOzRVPy2QlVFMCLeJLVpWQmO10ede/Z5NB6/40J6tDvxLgmlFdX8/N9vUVh0EE1RCJkWFw7pwZ0XDPveBuvfFyklwx9/jr1lsfV9fl3jwfFjGNa2NYMeezrGXguc4b6zp0+hc5PGJ3O7Li4uLi5hhBDLpZQJ/5J2I3AngKb5TXih4O8ULt/K7y/5JweLSmJet21JeUkFdo1Lgmli7S8GXUfz6jww53Z6De+MFlUknpzi46rbxvD8Pz6JpDy9Xo3GuemMv7Av/iQvOe2aUrTrsCOkLDt2tEh4SC+2pKzaqB1ZYhN2VJBE5zBFyIob0bFu1U7ycjPRNAXTjE8Ta5WmM+QXYtbSKk2EHdZ4yRqqV4l4nmpeneoMhQ1b9znXKQIrScHyKqCCYovablpbopjOl4YiWVKwE62pL07AhUyLQb1as2TxFscTteYWDecLqSQeJxI0TN7/ev2PIuAyUvy8csclbN57kAMlFXRs3pjstOQT/j4NoeBAMUeqA3HHqw2TWSvXYEk7bggyOA0ib68rcAWci4uLy08QV8CdIIQQtO7Wot65aZG0XnThl2EgpU3f0d0TXjJp6kDyOzbl7de+ofRwJQOGd2LCRf3wh+uoakSVAAhZoDpm8+AMu3XGjsRGAwUgTekonIhIshF1ivJsW2KELCad1ZO5762IFXBSImyJGrBQTBszSUNqCsKUaEHL8UhNUrG9zl5MQHhVWjTLpGn7Rny5emvdhweqjBkiHJnjphIRcbYAcZSA8ZA+bfl65VZChlX7XBK4kkXdRuTcH0JZVYCy6iBNM1PjHAHaNW1EuxNkWv99MSy73qhf0DIxbDuuJhOcyF2ojmG8i4uLi8tPA1fAnQCklMx4+G3+87f3MYzEH3i6V8OIFii2jbAs+o7tedS1u5/Wmu6ntU742rBx3XhrxjcYNdEzy0ZYdq1iscIiLmTGpFidcx1lo9REs+p8wAcDBm3yG9EoJ51HfnsBDz76AQcPlWNZNsKw8ZSFnGZXS6JXGAhNjbytrQpHvEWtKaVkT/ERZJbX6X6t+wwJj0KpCRQKwp2xEguBsASKKTADRlyHgt+rM+70Tgzt3oY/PjWPhUs3o6oKqiLw+3SOVFZTnaAwzu/VGdWvYz1P/thUBkL8esY8vtiwDVUR+HSNey8awdje33/NH4OuuTloCSJsPk1jUrfOnJHfKqGXrE/XGdvp5M1+c3FxcXFpOKdyDtz/DO89+xmz//YegaogVp2Ijsen4032gKi1waqx1FJ8Xn7+2FXf+32nXD2M3OZZ+KKN2GtSp6aTw5SKAMMMKyRZew44Q4EhMo4kxoaqMsBDP3sZgF7dWjD72etoKnS8BwN4S0NOjVsYr0fjT49eQkqqD69Xw/Ik/rUSQJKuoarxYsKpzXNOkoJwzRqRkShSFVi6Uw8XmfOGI8L6dWzBiD7t8Hl17r9lIh88dSMzHrmcj565mXefuIE5j17DtWefHpMm9OoaQ3vlM6h767i9rN1SxL3/fo9rH5rJi+8voaIqfiQIwJ0vvMeXG7ZhmBaBkElpZYDfzPiY1dsSzpQ+ZWiKwt/OHY9P0/Cozs8mSdfpmpvDRT27kZOSwl0jhuLTNFThjAb26zoTO3egf4tT5lDn4uLi4nIU3AjcCWDWX94lWBWKO67pKpfddx7bN+xhweyoAa5hp3fNo1NVHl+b1FCSU308Mfsmvpq/gef/No/ivaVg17o6SCHApztvZ5igOCb3wpY0a5JGIBCi5IBT2C5V2xkCbEuEYSIDIbas38OuLftp0bYJQgjMgCME7YjbgyOkTKDasPjzP6Zx640vIurpiRVCMLBrazbuKqbaihplImWtYCMs5uIuBhRnUK9iAzp0atOEGy8YzOmdW8akCFOSvKREjeswDIs5H65EC0lspCOgbZvzBneLSy2+8+U6/jzjM4KGiZRQsH0/byxcw6u/m0Za2BoNYH9pOUs37yZUpx4vaJi88Oky/n7NOfyUGJrfmo9vuII31m6guKKSIW1aMbxdm0jKd3rf3gxs3ZK31xUQMEzGdWrPac2bnfSGCxcXFxeXhuFG4E4ApcVlCY9bls15N4/jYFEJtmU7jQS6DpoGmoZhw9pvEnR4Hge6rnHmWT3w6SrCjrXkkpoSiWIJQNgSxbIRUnJo7xFyctLweDXsJB071Yft07GTPVgpXqR0BOjBvUcAqKoMUlZaie1RkR7H5N7ya5jpHoJ+lQceeY+bf/kKIdNCCSZ0IMWWcM7o7jx538V0bZsbNqeXKIE6gi/KjSuOcB2cCEnaNMpgQJdWxxQZj7/+BZVVISxTooa7Ws2QxcPPzY9xwAgaJn95bQGBkFnrqmFYHDpSyeufrIhZc39pBR4tfvaeBPYcOnLU/ZwqctNSuWnw6fx27AhGdmgbV6/XvlE2dwwfwn2jh9O3RZ4r3lxcXFx+wrgC7gSQ3z2xaXhuq8boHo1ew7qge/WIhVbNPyB55eF3MeupmzseuvVrg6rW+XEmMrwHkJJQyGTTuj2EhEB6tFi3B03FzkomFDJpEzaq/27dHkyPGhGEUhFIXYk0HlRXhwgaFoZXQdigVlkRgYaUeHSVe287i8yMZPJy0vGrmtM4ISUCiYh+BDF+XHX37vzL59Xp00DP0mXrd0bsuSRg6mD4YEfpEV7/ZEVExG3eVYyS4HmFTIsvVm6JOZafm4VhxTdAaKpC33bNG7QvFxcXFxeX74sr4E4A1z88FW+SJ+aY1+/hxr9MA2DiNSNQdC1BUElgmRYrFhb84D1MuW44viSPY3kVWf3YWB41gZuCQPo9jJsykIxsZxr/geKy8HgP51w7QR1bzZvamkAL2nhKDbQqC29A8vpT1zBiSCcs2+b8nz/Dsu92OfV5isDyioiYQxJTXxdBOjPhBKBrCtnpSYwZ2KkBd0gknSoB0xe23wrPxHvizUX85XXHszYt2RcxcK9LZlqsD2eKz8vVo/rjj/JoVYQgyaNzxUh3+K2Li4uLy4+LK+BOAF0HduAv8+6l75geZDfNpOcZnXnwrTs4fVwvANKyUug3pkfCaJiUkorSyh+8hyZ5mTw252cMH9+T5BQvQtqohhE/Q6OmSaFmK/WkyVRVYcotoyLRqfpcIRIds30qplcBCT4Ewwd1oHGjNADe/Hg15YFQrLoMm9439STRLT+XnIxkeuU3Y3D31uRkptChRWMmDuhMm8YZ5GanctHo3jx//1R8Xr1Bz2byWX3weTTsGq0Vte9AyOTNz9dy8EglLZpkkt80O24mms+jccnoeAeF68aezm8vGUOn5o3JSU9hQt/OzPrVNJpkuL6hLi4uLi4/Lm4TwwmiQ598HnzzjnpfP+PcfixfsIFAZWxHo2lY9Bh8YsZONG2RxdTrh7PonWXIgOEMr/Xb4I/y35QSDDsioIRhIRNE4RRNZcoF/0JRBEPO6ETVwYqY14XtiM/IdXWul7qKqih069KcX9w1PnL829Xb691/dlYKz/92asyxnUWH+fNz85n/aQGapjB6cCeuPm8AycfhKXrRmD5s332YuYvWJgxLenSVzbuKaZSezF9vmcStj77BrgOlqKqCaVpcdfYABvdoE3edEIKz+nTkrD4/rbEhLi4uLi7/+7gC7iQx+OzevP3MZ2xZuzPSsepL8nDejaNp1Cwz7vxQ0OCr91aydvFmcltkMeriAewtKuWz91ezZ/dhklJ89Oqfz6gJPUlOqe2OXPjuysgoEwGI6hAyEEJL8oGuI21JdOWWEjCwdBUnRykiDg1GyLHesm3J5ws2IC3pDAv2OYX7joATtdfVRUD77nk88rdLYw63yM2A1YmekKBZk1gT9iPl1Vx732tUVAUjQ3c//uo7tu0+xDN/mNrgIntFEdx1zWjKrBCfLN0UqYerwTBt9hw6wkOvzCctycdDN52NYZocLqumc+scUpN89azs4uLi4uJyanAF3ElC0zX+9PYv+Wz2YhbMXUJSqo8JVwzjtBHxJuSV5dX8YsJfKC4qIVAZxOPVePnJBSjJfkI14kMIliwq5NVnPuefL15DRkYSh/aVEqwOxgkUIUE1LSZcNojy8iBffLyWUNDptBS2RC2rxvZqSC3cpKDFRuSkxOn+1ASyyoAk3ZnqEbKxNQFaYiGl1G2qAK68cCAzP17h7DHK9ksguOnSM2LOfXfBOkKG5WR9w6capsXWXYco2LKPLu2aNujZR957wul8vmoLgVBtx4SuKnh0lb/P+oLqoIGmKrz2yQr+b/ooxg/qclzru7i4uLi4nCxcAXcS0T0aY6cNYey0IUc9b87jn7Bv50GMsJF90JKgaZiWHWNEb5o25WXV3HnVs5St3oKqKVgSlKQkrChvJKkIQl4P785dgVAE2U0ySM/ws2VDUXgdCxEwARPLryP1en4thHAcF2q+BRRT1taWReHzaowd1S3ueGqyj3/efSF3/vUtqsNCyqOq/O7G8TRrkhFzbuH2AwQME8tLbepTgi0kO/YcPm4B1655Ix656Wz+8NInHKkIYEtJ27xstu89HBF1pmVjWjYPvjKfYb3bkez3HGNVFxcXFxeXk48r4H6CfP7W8oh4A8ATLtaPEm81SFtSfKgSAkZE46iKiubzYdm2M8w3JQkpBEY4tbp3dwlHSqt45p1fEAyE+NnkxzFC4bSrJZG2dN4rEUI47Zw1pW+EI3Ge2pElfp9O505NGTsyProI0Ld7Kxa8eCurN+zmw8/WsX3HQb76ZhN5TTLo2LZJ5LzWLbKxvHXTtJIqLJrmpCdc+1gM6t6G9/98LftLKkj26dz/wsd8t+NA3HmaorB84y7O6NX2e72Pi4uLi4vLj4kr4H6C6A3sroxQp9HUKq8iLdXH6MvPZOH8AvYfrECqIuKBKgDLtFn2dSETL+7P+Av789EbywgGDETIBL8eFmm1Kc6a91FVQefOzSjYcgAz7EIgbIlPCs4c1Y2UNB99e7em32ltUOoRgVJKvlm6lQcefY9QyMQwbQoK9/Hlt5v5ze0T6dapGRsL91FRHQgLxah1hEARgqLDZfTCSamuKtyDLSW92+fhqS96SPQSgtwsp1PU54k9X+I4QZjUbwDv4uLi4uJyqnEF3E+Q8dMH88KD7xCsDttzBUKQ5HOG4irERuFsCRWVcc2VlSXljLrodGbNXY6VGu2VCmqVQTBgcGBvKQDX/Wo8GY1SePOVRVSWBchvlkE5sG9/Wa3vqC1RFUGPXi155J/T+OD9Vbzy0lccPlxBs7wsbrhxJAMGtjvmve3dV8ov/282ew+WYUUpTyklwaDJ/X97Dxm08Hg0KjQb6mk2PVBSwdKCndz5xLsxbgoP3TCBQd3iO0brY9LQ7ixYsdlxX1DACj+qSmFx18sf8PCV4zmjW36D13NxcXFxcTkZCFl3Ttj/MH379pXLli071ds4JpZp8cfrnmP5wg2A0wygJPkJaBqmqHUa9Xg07EAQc1uRMwg3iq4D2tHrvIG8NGNRfJeolHiqTX7z1ykMGJZ4GG4oZPKbu2azbs0ukKCogvSMJB59YjqNGqd9r/uSUjL9+ufYtacEW62nexXADEcJdUEoPd5Nwu/Vuf/6s7jvuQ+pDhoxr/k8Gm8/dDXZ6ckN3tcTby7ilXlLqVZl3JgRr67x7m+vJCcjpcHrubi4uLi4nAiEEMullAmnw7sRuJ8gqqby6+evY9uGPXy3YjvZTdM5bVhnyo9Us+TLjewrKiUlI4n2nZqyeflWnnvgbcxgCAJBhACPz8O1D07m9f/UL1b9aX76DekQ+b78SDVff7qe0pIqbAFJyV5+fvs4KiuDFG7cS5PcdHr3TWDX1UBsW/L+vDUU7SvlqH80RL2mGBJhSqQmIsLKo6s0ykhm3rffYdvx60gp+XjpRi4ZFT94tz5uOm8wScleHn9/EYYV68QgpeSj5RuZPvK0Bq/n4uLi4uLyY+MKuJ8wbbrk0aZLXuT7jOwURp7dG0Vx5rP96fbXWbLwO0hNRk32I21J14453PCHi2jboyWp8wvqjXKdP31QRIwt+6qQB26dgS0EoXB8T1EVtH/O5/xLB3DlTSN/0H1UVgW59a7X2bHrEKYZFkgWkCgKFxUEE4C31EakKaQ3TcW0bUrKqjhwuII9h45gJjBMDZkW5ZWBBu9NSollS9R6rMFCpsWRqoav5+Li4uLicjJwBdx/CdsL9/HY796iYNUuNF2lQ7c8CtfuIhSIdoEX7C83yO/umLwPHtqBBZ+uJxjd0QpousrIsd0BCFSHePAXrxEIGE7zQo3Xqe0Y3r/5+rf0H9yerj1bfu+9P/3iF2zfeSjSBQuE6+oAxRFxqqqQnZFEyaHKGD9SAaRKjZd/P41zbn8Gy5JYVli6acSlPH0enQHdWh9zT4Zp8ficr5i7cA3BkEHzphkJmxb8Hp3BnVsd/027uLi4uLj8iLheqP8FHC4u45eXPsWGlTuRUmKETDas3EEoZMWdW15axfZN+wHoP6AdXbs1x+er7Wr1+XTOv6g/uU2dmWsrv9nsCJf6IlBBg/kfrPlB+/90YUGseCPsEmGDV1FpkpnC03+ZxvP/uIKszGS84c5QRRF4vRp3/nwsS9bviOlqFeAIwKggnN+rM6RHG7rnH3s+3P3Pz2POgtUEQgYS2LW3FBmy8EZ1sfo9OoM6t6J327z6F3JxcXFxcTkFuBG4/wLen7UkMqethvrKyIQAy3LOVVWFh/58CQs/28Cnn6zD69OZcHZv+vav7aq0rOixvOG1Y96IiDXX98Wy7Xpfu+6KM5g4rid+n9P++cLjV/HevNUsWb6NJjlpXHD2abTLz+HDRRvirhW24zLRJCeNdi0aMXFQF87s3f6Y4z8OHqnks+WFhOqKyhD0aptLUqoXy7YZ2KkVZ3TJd8eJuLi4uLj85HAF3H8BWwv2Ot6kdRHCUTBRisvr85DfqTYCpWoKI8d0Y+SYeFcEgN4D2mJZNlg2EhWpiJghvqoiGDo68UDehjJ0YHvmLyxw3ieydUHPbs256Nx+MeemJHuZcn5/ppzfP+b4wB5tHCeKKAROlOz3V42lT6cWDd7PnuIj6JoaJ+CkLakoD3DbBWdw97/fY/mqnfyLL2jWKJ0/3XQ2+c2yG/weLi4uLi4uPyZuCvW/gA7dm+PxxmttIQSe8NBfj1fD5/dwz9+noigN/7Emp/q49ffn4vVqjiCscXsI/2MLQeGmfT9o/zdePZzG2SnoXhWpgtAFXr/G7T8f0+A1MlL93HnZCLy6hqYqCOGMDBk7sBO9OzY/rv20zMmIS+mCI1bb5jXihj//hz3FRwgaJkHDYvvew1z78CwCISPBai4uLi4uLiefUyLghBBZQohPhBCF4X9nJjinlxDiGyHEeiHEGiHE5KjXXhRCbBNCrAr/0+vk3sHJ5ayL++Hx6YioyJjHq9F7YFvu++c0Lrj6DC7/xVhe+PRX9Oh//ENnR0zsxdPv3oae7InrCrVtydyZ3/6g/WdmJNOxS9NIdM8GbAX+8fSnCUeB1MekYd15/cHpXD1pAJdP6M8Td1/EvVeOPu4UZ2ZaEuMHdYlzYfDoGnk56XEpXwkYlsXClVuO631cXFxcXFx+LE5VCvVu4FMp5cNCiLvD399V55wqYLqUslAI0QxYLoSYJ6UsDb9+p5Ryzknc8ykjIyuFf8y8iacefo+V32zG49UZe0FfLr91NB6vTr9hHX/we3zx/ipCQTPh2JHy8h82RmPjlv18s2wrhlkb9QoGTdZvLGL5mh3069W6wWs1b5LB1ZMG/KD9ANw9fSS52anMmr+Siuog3fKb8stLzmT+sk0RY/toQobFwf/X3p1HSVWeeRz/Pt3VG0EaaAgNouyLG24IKIwYhSAGgmYRDSeiolF0jh4yOWZc4hhiZsyKozNygmjccDCKCzFGM4QhUVEiroALjSKI7AhI23v1M3/UbajurkKg6aq61b/POX363ve+destnnOLp+/73vfdVd7i9xURETkc0pXATQLOCrYfBJbQJIFz99Vx2xvNbCvQFdhFG9SjVwk/nT21Vc795tI1PPrff4WCPIjkNjvep2/XFp3/rZXrqY82f5ChsqqWN1asb5bArdmwjbsXvMTKjzZRUvwVpk0YzrhhiVeMOFS5OTlMmziCaRMbJ4Nbd5XTriCPiiYrPORFcjn+AJ5uFRERSYV0jYHr5u6bAILfX91fZTMbBuQD8X1YPw+6VmeZWZIVM+VAPDtvKdWVteSWVwdrnzYsXu/k5+dy7YxxLTp/8RFFRBIkhvn5uXQqbteo7KONO7jsP+azdMVadn9RxUcbd/CzB/7Cwy+kZgm0M07oTZ8eJY2mEynMjzCkXw9O7N8jJW0QERH5Mq2WwJnZIjNbmeBn0kGepzvwMHCZuzfcxrkRGAycBnSmefdr/Ot/YGbLzWz5tm3bDvHTpF60Lkq0rmXTdxyoPbsqALC6KLm7K7CaOojWE6mvZ/o15zDk5JZNZHvm6QMbzeHWIMdyGHvmMY3KfvfM0tjC8nFlVTV1zFn4CtW1CZ7EJTZOr+4w/Vvl5uTwuxu+y7QJw+lV2om+PToz/YKR3Hn9+ZpOREREMkardaG6+5hkx8xsi5l1d/dNQYK2NUm9DsCfgFvc/dW4c28KNqvN7PfAj/bTjjnAHIgtZn/wnyS1tm3ezV23PskbS8sAOOWMAVw381t0LS1utfccde4JrF6xgeqqWqyuntxgzFtBUR5jJrT8+ZB2Rfn8duaF3PTvT1FRUYOZkRfJ5bYbJtKpY+NF51et3Zx0rdQtn+3h6G77nnepqKph1gOLeeHl96mL1jOo91f51yvHMqhPtxa1tzA/j8snDOfyCcNbdB4REZHWkq4xcAuBqcAdwe9nmlYws3zgKeAhd3+8ybGG5M+A84GVrd/k1ldTU8eMi+5h57Y9e5/OfOPlMn540Wzu+8uPyM9vnXB9/Tun8fwfXmPj+u1UV9ZiOUZ+foSrbv4mhe3yD8t7HDOgOwvum07ZR1uI1jsD+3Ujktv8BnCPLsVs/mxPs/JotJ7OHRp3t97w66dZsXrj3ocj3l+7hekzH+PRX11KaZcOh6XdIiIimShdY+DuAMaaWRkwNtjHzIaa2dygzoXAmcClCaYLmWdmK4AVQBfg9tQ2v3W8suhdKvZUNZpao77e+aK8klcWNV+JAGJdrevKtrB9y+5Dft/ConxmPX4tV900kdNGD2LM+afyy3lXM/7CYV/+4oOQk2MM6l/KsQO7J0zeAK6YOKLZ9B4FeRHOHTGY9kX7hjqu3bCDlWWbmk3GW1dXzxMvvHlY2y0iIpJp0nIHzt13AOckKF8OXBFsPwI8kuT1Z7dqA9Pk04+3UVlR06y88osaPv24+fi9F59fwV23PR0bLxetZ+DxPbn5zu/RsaT9Qb93QWEe4ycPZ/zk9HYbDjvmaH4y9ev85rEllFdUY2ZMHHkc/3LRWY3qfbJ5J5HcHKqbvL62Lsqa9eEZ6ygiInIotJRWBuk9sJRIXg51tc2n3Ni4fkej/TXvfspvbnqC6qp901289/Z6br36Qe56/NpWb2trGjd8MGNPG8TOPRW0b1fQ6InQBn2P6tJoXrkG+ZFcju2v6T5ERCS7aSmtDDL8rMFE6xIP4F/+4upG+089+DI1TSacjdbVs/7Drawr29JqbUyVnByjpPgrCZM3iE3oe8ZJfSiI6241g/z8CN8em9ULc4iIiCiByySWY0mfwCz/vLLR/taNu/AEy1BFIjns2PZ5q7Qv08y8bgIXn3cqxUcUUZAf4YyT+3L/7VMoafJkq4iISLZRF2oGycnJodeAbgnvoPU7pvEksqeMHMDqlRtiy1/Fqa2N0v/YI1u1nZkiL5LLVZNHcdXkUeluioiISErpDlyGmX7zRAoK8/YuSWpmFBTmcdWNExrVm3DxCI4obkckb98KBwVFeXzr0lF06Nh4ug0RERHJLpasyy4bDR061JcvT82STC2xZtWnPDp7MevKttBncHemXHM2fQY1H5i/67NyHp/7d5YteZ8OHdtxwSUjGTXueK0YICIikgXM7HV3H5rwmBI4ERERkcyzvwROY+BCoKaqlr8tWMbyRSvocmRnvnHZWfTo17LlokRERCS8lMBluMryKmaMuZ3N67ZT9UU1uXm5PHvvYm56YDrDx2u6DBERkbZIDzFkuIVzFrHxo61UfRFbcyBaG6W6soZfXz2XaIKJbEVERCT7KYHLcH9b8Bo1castNKirjbJ21YY0tEhERETSTQlchitqX5CwvD5aT2G7xMdEREQkuymBy3ATrzynWaJmZnTr1YWeA0rT1CoRERFJJyVwGW708vJHbQAAB9lJREFUt4cxdspI8gvzKGpfSFH7Qkp6dOK2+denu2kiIiKSJpoHLiQ2r9vOu6+W0albMUP+aTC5ucq9RUREspnmgcsCpb26UNqrS7qbISIiIhlAt3FEREREQkYJnIiIiEjIKIETERERCRklcCIiIiIhowROREREJGSUwImIiIiEjBI4ERERkZBRAiciIiISMkrgREREREKmTS2lZWbbgHXpbkcadAG2p7sRckAUq/BQrMJF8QoPxWqfXu7eNdGBNpXAtVVmtjzZWmqSWRSr8FCswkXxCg/F6sCoC1VEREQkZJTAiYiIiISMEri2YU66GyAHTLEKD8UqXBSv8FCsDoDGwImIiIiEjO7AiYiIiISMEriQM7NCM/uHmb1tZqvM7KdB+Twz+8DMVprZ/WaWF5Sbmd1lZmvM7B0zOyW9n6DtSBaruON3m1l53H6BmT0WxGqZmfVOdZvbsv1cW2ZmPzez1Wb2npldF1euaysN9hOrc8zsDTN7y8xeMrP+QbmurTQzs1wze9PMng32+wSxKAtikx+UK1ZJKIELv2rgbHc/ETgJONfMRgDzgMHACUARcEVQfzwwIPj5ATA75S1uu5LFCjMbCnRsUn8asNPd+wOzgF+ksrGSNF6XAkcBg939GGB+UF/XVvoki9VsYIq7nwQ8CtwS1Ne1lX7XA+/F7f8CmOXuA4CdxGIEilVSSuBCzmMa7trkBT/u7s8Fxxz4B9AzqDMJeCg49CrQ0cy6p77lbU+yWJlZLvAr4IYmL5kEPBhsPwGcY2aWksZK0ngB04GZ7l4f1Nsa1NG1lSb7iZUDHYLyYmBjsK1rK43MrCfwDWBusG/A2cRiAbHYnB9sK1ZJKIHLAsGt6LeArcD/uvuyuGN5wPeB54OiI4FP4l6+ISiTFEgSq38GFrr7pibV98bK3euA3UBJKtvb1iWJVz9gspktN7M/m9mAoLqurTRKEqsrgOfMbAOx78E7guq6ttLrTmJ/sNYH+yXAriAW0PjaUaySUAKXBdw9GnQR9ASGmdnxcYfvAf7u7i8G+4n+ctGjyCmSIFZnAt8F7k5QXbFKsyTXVgFQFcwUfy9wf1Bd8UqjJLGaAZzn7j2B3wO/DaorVmliZhOAre7+enxxgqp+AMfaNCVwWcTddwFLgHMBzOzfgK7AD+OqbSA2fqdBT/Z1K0iKxMXqa0B/YI2ZfQy0M7M1QbW9sTKzCLEuoM9S3lhpem1tABYEh54ChgTburYyQFysxgMnxvVIPAacEWzr2kqfkcA3g++7+cS6Tu8kNuQgEtSJv3YUqySUwIWcmXU1s47BdhEwBnjfzK4AxgEXN4zVCSwELgmemBsB7E7QdSetIEmsXnf3Unfv7e69gYpgsC7EYjU12P4OsNg1cWPKJLu2gKeJ/acDMBpYHWzr2kqTJLF6Dyg2s4FBtbHsGzSvaytN3P1Gd+8ZfN9dROzffgrwf8RiAbHYPBNsK1ZJRL68imS47sCDwUD4HOAP7v6smdUB64BXgvGeT7r7TOA54DxgDVABXJaeZrdJCWO1n/r3AQ8Hd+Q+I/ZlJ6mT7Np6CZhnZjOAcvY94a1rK32SxepKYIGZ1RN7svHyoL6urczzY2C+md0OvEksRqBYJaWVGERERERCRl2oIiIiIiGjBE5EREQkZJTAiYiIiISMEjgRERGRkFECJyIiIhIySuBEJGuZWamZzTezD83sXTN7rmFeMDM7zswWm9lqMyszs580rLFoZlPM7J3gZ6mZnZjk/Baco0Oi44fxcywys06t+R4iEi5K4EQkKwXJ2FPAEnfv5+7HAjcB3YLJXhcCd7j7QOBEYrP0XxO8fC0w2t2HAD8D5iR5m/OAt93981b8KAAPx7VNRETzwIlIdjKzs4Hb3P3MBMemEUvQLokr60cs2TuqSd1OwEp3b7YwvZk9Csxx9yVm1ht4HlgGnExshYZL3L0iWDboMWJLpwF8z93XmNkDQCUwGOhFbPLfqcDpwDJ3vzSuDS+6e/w6xyLShukOnIhkq+OB15McO67pMXf/EGifoDt0GvDnJOcZ2eQ8g4gldEOAz2l81+xzdx8G/BextR8bdCK2NNcM4I/ArKB9J5jZSUHbdgIFZlaSpB0i0sYogRORtsiAZN0Pe8vN7GvEErgfJ6nb2d33xO1/4u4vB9uPAKPijv1P3O/T48r/GKztuALY4u4rgvWLVwG94+ptBXok/UQi0qYogRORbLUKOHU/x4bGF5hZX6C8ISEzsyHAXGCSu+9Icp46M4v/Hm2aFPoBbFcHv+vjthv249erLiTW3SoiogRORLLWYmLdjlc2FJjZaWY2GpgHjDKzMUF5EXAX8Mtg/2jgSeD77r56P+/xAdA3bv9oM2u4u3Yx8FLcsclxv185mA8SPJBRCnx8MK8TkeylBE5EslLQLXkBMDaYRmQVcBuw0d0rgUnALWb2AbHuy9eIjU8DuBUoAe4xs7fMbHmSt/kTcFbc/nvAVDN7B+gMzI47VmBmy4DriY13OxinAq+6e91Bvk5EspSeQhUROURm1h14yN3HBk+hPpvoSdHgKdSh7r79EN/nP4GF7v7XFjRXRLKI7sCJiBwid98E3NvaE/kSm8ZEyZuI7KU7cCIiIiIhoztwIiIiIiGjBE5EREQkZJTAiYiIiISMEjgRERGRkFECJyIiIhIySuBEREREQub/AdXwMn2QLl+vAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots()\n", "\n", "# Add data: \"co2\", \"relative_temp\" as x-y, index as color\n", "ax.scatter(climate_change[\"co2\"], climate_change[\"relative_temp\"], c=climate_change.index)\n", "\n", "# Set the x-axis label to \"CO2 (ppm)\"\n", "ax.set_xlabel(\"CO2 (ppm)\");\n", "\n", "# Set the y-axis label to \"Relative temperature (C)\"\n", "ax.set_ylabel(\"Relative temperature (C)\");" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 4 }