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IPython notebook exploring some additions to the Global Burden of Disease Study. https://pstblog.com/2016/09/28/gbd-additions
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Potential additions to the Global Burden of Disease Study\n",
"\n",
"\n",
"The Global Burden of Disease (GBD) is a comprehensive look at the causes and extent of life years lost globally. This [project began](http://www.who.int/healthinfo/global_burden_disease/about/en/) as a World Health Organization (WHO) initiative in 1990, and went through a major update in 2010. The [Institute for Health Metrics and Evaluation](http://www.healthdata.org/gbd) (IHME) played a leading role in the most recent update, organizing over 1600 GBD collaborators from 16 countries. \n",
"\n",
"One interesting tool that they built is the [GBD Compare](http://www.healthdata.org/data-visualization/gbd-compare) visualization for viewing and interacting with the data. This tool is especially helpful for comparing the scale of different public health problems, and how they relate to one another. For example, here is a re-creation of one of their [visualizations](http://ihmeuw.org/3wfa) using D3.js, showing the total Disability Adjusted Life Years (DALY) burden by year for the world population:\n",
"\n",
"The rest of this post looks at a few other disease burdens that it might make sense to add to the GBD analysis. First, I think they should add the annualized burden of potential pandemic disease to the study. Second, it might make sense to increase the reference life expectancy so that years of life lost due to future increases in the life expectancy are incorporated into the estimates. I provide the computations and graphics to vizualize the scale of each one of these new burdens below.\n"
]
},
{
"cell_type": "code",
"execution_count": 349,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"\n",
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib\n",
"import textwrap\n",
"\n",
"matplotlib.style.use('ggplot') #'ggplot' 'fivethirtyeight' 'seaborn-paper'\n",
"matplotlib.rcParams['figure.figsize'] = (11.0, 9.0)\n",
"#Reset paramaters:\n",
"#matplotlib.rcParams.update(matplotlib.rcParamsDefault)\n",
"\n",
"pd.set_option('max_colwidth', 400)\n",
"\n",
"# print plt.style.available"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import the Data\n",
"\n",
"All of the data for this post can be accessed by visiting the [vizualization](http://ihmeuw.org/3wfa) and clicking the download button in the upper right corner. I obtained the life table that I use later from the Web Table 6 of the supplementary appendix: [PDF](http://www.thelancet.com/cms/attachment/2017336178/2037711222/mmc1.pdf). The CSVs are also available as a zipped file [here](https://www.dropbox.com/s/9mn545f8kz4bmgf/gbd_data.zip?dl=1).\n",
"\n",
"The initial data shows global DALY burden by cause for a number of years between 1990 and 2013. "
]
},
{
"cell_type": "code",
"execution_count": 350,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Location</th>\n",
" <th>Year</th>\n",
" <th>Age</th>\n",
" <th>Sex</th>\n",
" <th>Cause of death or injury</th>\n",
" <th>Measure</th>\n",
" <th>Value</th>\n",
" <th>Lower bound</th>\n",
" <th>Upper bound</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Global</td>\n",
" <td>1990</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Forces of nature, war, and legal intervention</td>\n",
" <td>DALYs</td>\n",
" <td>13650843.806051</td>\n",
" <td>8198677.494192</td>\n",
" <td>23356495.474653</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Global</td>\n",
" <td>1995</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Forces of nature, war, and legal intervention</td>\n",
" <td>DALYs</td>\n",
" <td>11243358.692292</td>\n",
" <td>6430940.583227</td>\n",
" <td>20036013.689167</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Global</td>\n",
" <td>2000</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Forces of nature, war, and legal intervention</td>\n",
" <td>DALYs</td>\n",
" <td>13874813.144494</td>\n",
" <td>8648476.130667</td>\n",
" <td>23398335.472656</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Global</td>\n",
" <td>2005</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Forces of nature, war, and legal intervention</td>\n",
" <td>DALYs</td>\n",
" <td>11121526.833311</td>\n",
" <td>6687655.473904</td>\n",
" <td>18862473.121176</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Global</td>\n",
" <td>2010</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Forces of nature, war, and legal intervention</td>\n",
" <td>DALYs</td>\n",
" <td>18568961.216457</td>\n",
" <td>11665386.215099</td>\n",
" <td>33760218.249876</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Location Year Age Sex \\\n",
"0 Global 1990 All ages Both \n",
"1 Global 1995 All ages Both \n",
"2 Global 2000 All ages Both \n",
"3 Global 2005 All ages Both \n",
"4 Global 2010 All ages Both \n",
"\n",
" Cause of death or injury Measure Value \\\n",
"0 Forces of nature, war, and legal intervention DALYs 13650843.806051 \n",
"1 Forces of nature, war, and legal intervention DALYs 11243358.692292 \n",
"2 Forces of nature, war, and legal intervention DALYs 13874813.144494 \n",
"3 Forces of nature, war, and legal intervention DALYs 11121526.833311 \n",
"4 Forces of nature, war, and legal intervention DALYs 18568961.216457 \n",
"\n",
" Lower bound Upper bound \n",
"0 8198677.494192 23356495.474653 \n",
"1 6430940.583227 20036013.689167 \n",
"2 8648476.130667 23398335.472656 \n",
"3 6687655.473904 18862473.121176 \n",
"4 11665386.215099 33760218.249876 "
]
},
"execution_count": 350,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gbd_df = pd.read_csv('./GBD_global_data.csv')\n",
"gbd_df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# The Plotting Function\n",
"\n",
"Below, I create a plotting function to re-create a view of the GBD Compare tool, showing the total DALY burden per year, separated into cause areas. Note that you can see a general trend downwards, and the red area of infectious disease is shrinking with time. \n",
"\n",
"As the burden of infectious disease is declining, chronic diseases often associted with old age in high income countries are increasing. Note that this plot is showing absolute numbers, so the fact that the overall DALY burden is declining even as the population is growing is pretty encouraging. "
]
},
{
"cell_type": "code",
"execution_count": 351,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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pVKtWjdGjRwM3RgfcXDMjL08++STOzs7m6RbOzs5UrVqVcuXKmZ/VunVrWrduTYsWLXBy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\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x133afde50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"colors = [\"#006D2C\", \"#31A354\",\"#74C476\", \"#BAE4B3\", \"#54278F\", \"#756BB1\",\n",
" \"#9E9AC8\", \"#BCBDDC\", \"#DADAEB\", \"#08519C\", \"#3182BD\",\n",
" \"#6BAED6\", \"#9ECAE1\", \"#C6DBEF\", \"#99000D\", \"#CB181D\", \n",
" \"#EF3B2C\", \"#FB6A4A\", \"#FC9272\", \"#FCBBA1\", \"#FEE0D2\",\n",
" '#ffff80','#ffffcc']\n",
"\n",
"def stacked_plot(gbd_df, width, ylim, colors):\n",
"\n",
" fig, ax = plt.subplots(figsize=(17,10)) #(20,12)\n",
"\n",
" causes = gbd_df['Cause of death or injury'].drop_duplicates()\n",
"\n",
" # http://stackoverflow.com/questions/19060144\n",
" # Keep track of bottom margin for each stack row/year\n",
" margin_bottom = np.zeros(len(gbd_df['Year'].drop_duplicates()))\n",
"\n",
" for num, cause in enumerate(causes):\n",
" values = list(gbd_df[gbd_df['Cause of death or injury'] == cause].loc[:, 'Value'])\n",
" label = textwrap.fill(cause, 30)\n",
"\n",
" gbd_df[gbd_df['Cause of death or injury'] == cause].plot.bar(\n",
" x='Year',y='Value', ax=ax, stacked=True, color=colors[num], label=label, \n",
" bottom = margin_bottom, width=width)\n",
"\n",
" margin_bottom += values\n",
"\n",
" #http://stackoverflow.com/questions/4700614/how-to-put-the-legend-out-of-the-plot\n",
" #Shrink current axis by 20%\n",
" box = ax.get_position()\n",
" ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\n",
"\n",
" #Put a legend to the right of the current axis\n",
" ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))\n",
"\n",
" ax.set_ylabel('DALYs, Global (billions)')\n",
" ax.set_ylim([0, ylim])\n",
"\n",
" plt.show()\n",
"\n",
"stacked_plot(gbd_df, 0.85, 3.0e9, colors)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# How would including pandemic disease risk change the picture?\n",
"\n",
"\n",
"I recently read a paper called *The Neglected Dimension of Global Security: : A Framework to Counter Infectious Disease Crises* [1], which looked at the risk of a global pandemic disease and called for a number of policy changes to increase our preparedness. It's pretty surprising how little emphasis we put on pandemic disease risk, given the potential health and economic costs. So I was interested in adding an annualized DALY [(years of life lost (YLL) only)] burden to the plot to get a feel for the relative scale of the problem. \n",
"\n",
"First, I obtained an annual risk of pandemic outbreak from the paper [1], which they put at 3 percent per year (Appendix C). This is based on the 20th century rate, which had pandemic outbreaks in 1918, 1957 and 1968. The authors also make the point that the risk of a pandemic is increasing with time, so this 3 percent may be an underestimate. I obtained a mean age of death from a study that looked at the 2009 the A/H1N1 outbreak [2], and found an estimate from the 1918-20 spanish flu pandemic to use as the excess mortality figure [3]. \n",
"\n",
"As you can see in the table at the end, pandemic disease has a similar annual burden to that of *Neglected tropical diseases and malaria*, at 92 million DALY/year. This isn't as large as I thought it would be, but it's important to keep in mind that pandemics happen all at once, which would essentially double the global mortality figures in a single year [2]. Pandemics also cause massive social, economic, and political disruption resulting in other costs beyond human health. One estimate puts the annualized economic cost of a pandemic disease outbreak at $60 billion [1]. \n",
"\n",
"\n",
"[1] \"The Neglected Dimension of Global Security: A Framework to Counter Infectious Disease Crises.\" Commission on a Global Health Risk Framework for the Future. https://nam.edu/initiatives/global-health-risk-framework/\n",
"\n",
"[2] \"Preliminary Estimates of Mortality and Years of Life Lost Associated with the 2009 A/H1N1 Pandemic in the US and Comparison with Past Influenza Seasons.\" http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2843747/\n",
"\n",
"[3] \"Estimation of potential global pandemic influenza mortality on the basis of vital registry data from the 1918-20 pandemic: a quantitative analysis.\" http://www.ncbi.nlm.nih.gov/pubmed/17189032\n"
]
},
{
"cell_type": "code",
"execution_count": 352,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Annualized years of life lost due to pandemics (billions): 0.0922188\n"
]
},
{
"data": {
"image/png": 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Ll+fQoUN5+s2vIHK9iIiI2x7/4qIlGCIiIiIiIrfpyJEjzJ8/37r5X3x8PJGR\nkdStWxeA7t27M2vWLA4fPgzAxYsXWbduXZHkcunSJZycnHB2dubkyZPMmzevSPq5KiUlBQcHB5yd\nnTl//rx1FkhhPPfcc2zcuJE9e/aQmZlJWFjYXXvCh7u7O8ePH7e+r127Ns7OzsydO5e0tDSys7OJ\ni4tj//79Bcb59ddfWb9+PdnZ2Xz44YfY29tTp06d24r31VdfkZSUBICLiwsANjY2BAUFsWnTJn78\n8UeysrKIiIjAwcHB+t9PQVJTU297/IuLChAiIiIiIiK3ydnZmejoaNq0aUO1atVo164dPj4+jB07\nFoCnn36aQYMGMXDgQHx8fAgMDGTLli3W62/1l+qC2g8fPpxff/0VHx8fevbsybPPPnvTa68/div5\n9OnTh8uXL1OzZk3atWtHy5YtCx2rWrVqTJw4kUGDBlGnTh1Kly5dqF/9b+Tavrp27UpcXBwmk4k+\nffpgY2PDZ599xsGDB2nUqBF+fn6MHDky1xNC8tOqVSu+/vprfH19Wb16NQsWLMBoNN5WvM2bN/Pk\nk0/i7e3N+PHjmTdvHvb29lSpUoVZs2bx1ltv4efnx8aNG/n0008pUaJEnvu63p2Mf3ExWO5WmamY\nXTs9RkREHk4uLi43/ceCiIg82K5dd3+t9PR068aOV53JvMDZtAtFlktZB1fcbV1v3lAeOuHh4Rw9\nevSmjweV/JUpUybXRqdXaQ8IERERERF5IJ1Nu8DIPR8UWfyw+sNUgBC5i7QEQ0RERERERESKnGZA\niIiIiIiIiFxj+PDhxZ3CQ0kzIERERERERESkyKkAISIiIiIiUkS6d+/OypUrb9rObDbj5eVFTk7O\nPchKpHhoCYaIiIiIiEgRWbRoUaHb3o+PTRS5mzQDQkRERERERESKnGZAiIiIiIjIA6msgyth9YcV\nafzCmDt3LjExMXz44YfWY2PHjgUgNjaW4OBgunbtisViYcaMGSxZsoT09HRatGjBhAkTcHFxyRMz\nOTmZ8ePHs2nTJmxsbOjcuTMjR47EYDCwfPlylixZQp06dVi6dCmlSpVi4sSJPPnkkwBcuHCBd955\nh61bt5KWlkajRo1YsGABABs2bCAsLAyz2Uy1atWYPHkyPj4+dzpUIoWiAoSIiIiIiDyQ3G1dcbct\nXJGgKLVr144PPviA1NRUnJycyMnJYd26dSxcuJDY2Fhru2XLlrFy5UpWrVpFmTJlGDJkCKNHj2bm\nzJl5Yr5gI4xSAAAgAElEQVTyyiuUK1eOn376idTUVP773//i6elJt27dAIiJiaFLly4cOHCARYsW\nMWLECPbu3QtAaGgoLi4ubNmyBScnJ37++WcADhw4wIgRI/j888/x8/Nj1apV9OrVi23btmFra3sP\nRkr+6bQEQ0RERERE5A54enpSs2ZN/u///g+A7du34+joSO3atXO1W716Nf369cPLywtHR0def/11\nvv766zwbT545c4bNmzfz9ttv4+DggJubG3379iUyMjJXn127dsVgMNCpUycSExM5e/Ysp0+fZuvW\nrUydOhUXFxeMRiMNGzYE4IsvvqB79+7UqlULg8FAcHAwdnZ27Nu3r4hHSOQKzYAQERERERG5Q+3a\ntSMyMpKOHTsSGRnJ888/n6dNYmIiXl5e1vdeXl5kZWVx5syZXO3i4+PJzMykTp06AFgsFiwWC56e\nntY25cqVs752dHQEICUlhfPnz+Pq6prvsg6z2czKlSv55JNPrHEzMzM5derUHdy5SOGpACEiIiIi\nInKHgoKCmDBhAidPnmT9+vWsXbs2T5vy5ctjNput781mM7a2tri7u5OQkGA97uHhgb29PQcOHLjl\nJ2N4eHhw4cIFkpOT8xQhPDw8GDJkCKGhobd4dyJ3h5ZgiIiIiIiI3CE3NzcaNWrE8OHDqVSpElWq\nVMnTpn379nz00UecOHGClJQUpk6dStu2bbGxufK1zGKxAFdmNzRv3pxx48Zx6dIlLBYLx44dY+fO\nnTfNo1y5cjz55JO8+eab/P3332RlZbFr1y4AunXrxqJFi4iOjgYgNTWV77//ntTU1Ls1DCIFUgFC\nRERERETkLmjfvj3bt2+nQ4cO1mPXzmDo2rUrHTt25Pnnn6dx48Y4OjoyYcKEfNvOmDGDzMxMWrRo\ngclkon///pw+ffqGfV977cyZMzEajTRv3pxatWpZn4Dh5+dHWFgYb731FiaTiaZNm7JixYq7cu8i\nhWGwXC2zPeCunbIkIiIPJxcXF5KTk4s7DRERKUIeHh75Hk9PT+fcuXP3OBsRuR1lypTB3t4+z3HN\ngBARERERERGRIqcChIiIiIiIiIgUORUgRERERERERKTIqQAhIiIiIiIiIkVOBQgRERERERERKXIq\nQIiIiIiIiIhIkVMBQkRERERERESKnAoQIiIiIiIiIlLkVIAQEREREREpRq+//jozZswo7jQAiI+P\nx9vbG4vFUqT9LF++nA4dOtxxDnea7726X7miRHEnICIiIiIicjsuWVK4lJ1cZPGdjS44G0retJ2X\nlxc//vgjjz76qPVYeHg4f/31F7Nmzbrp9VOmTCl0TsOGDcPDw4ORI0cW+pqC+Pv789577xEQEACA\np6cncXFxdyX2zRgMhnyP30oOd5rvvbxfUQFCREREREQeUJeyk1lyYlmRxQ+p2AXnEjcvQNzoi/SN\njsv9ITs7G6PRWNxp/KNoCYaIiIiIiMgduNn0/R07dlCvXj3mz59PrVq1qFu3LsuW/a9wMmzYMMLC\nwm7a9osvvmD16tXMmzcPb29vevXqBUBiYiJ9+/bFz8+Pxo0b8/HHH1tjh4eH8/LLLzN06FC8vb35\nz3/+w6+//grAkCFDiI+Pp2fPnnh7exMREYHZbMbLy4ucnBxr7F69emEymQgICODLL78sVGyAOXPm\n0KRJE7y9vWnZsiXr168v1Hhen0NwcDBhYWG0b98eb29vunXrxvnz5/Nt6+/vz/bt23PlGBoamqvt\n0qVLadCgAV26dMlzfXJyMiNGjKBOnTrUq1ePadOmWT/fo0ePEhwcjI+PD35+fgwcOLBQ9yP/owKE\niIiIiIhIETtz5gwpKSns27ePsLAwRo8ezcWLF2+pbbdu3ejQoQMDBgwgLi6OTz75BIvFQs+ePalR\nowbR0dEsW7aMhQsX8sMPP1jjbdiwgQ4dOnDo0CECAwN58803AZg5cyaenp589tlnxMXF8fLLLwO5\nZ24MGDAAT09PYmJimD9/PlOmTOGnn366aWyAypUrExkZSVxcHMOGDSM0NJQzZ84Uaryunz0SGRnJ\n9OnT+eWXX0hPTyciIuKGbW8Wa+fOnWzdupUvvvgiz/lXXnkFW1tbfvrpJ6Kiovjhhx+sRZewsDCa\nN2/Ob7/9xs8//2wtAEnhqQAhIiIiIiJSxGxtbXnllVcwGo20bNmSkiVL8scff9xx25iYGJKSkhg6\ndChGo5GKFSsSEhLCmjVrrG0aNGhAixYtMBgMBAcH89tvv+WKcaMZHPHx8ezdu5fRo0dja2uLyWQi\nJCSElStXFir2c889h7u7OwBBQUH8+9//Jjo6unADdp0uXbpQuXJl7O3tCQoKIjY29rbiGAwGRowY\ngaOjI/b29rnOnTlzhs2bN/P222/j4OCAm5sbffv2tY5liRIlMJvNnDx5Ejs7O+rXr39bOfyTaQ8I\nERERERGRO2A0GsnMzMx1LDMzE1tbW+v70qVLY2Pzv99/HR0dSUlJyTferbQ1m82cOnUKk8kEXCkm\n5OTk0LBhQ2ubq0WAq7HS09PJycnJ1Ud+Tp8+jaurK46OjtZjXl5euZZZFBR7xYoVfPTRR5jNZgBS\nU1OtSyduVbly5XL1c6PxKIxHHnkk3+Px8fFkZmZSp04d4MpYWiwWPD09ARgzZgzTpk2jTZs2uLq6\n0q9fP7p06XLbefwTqQAhIiIiIiJyBzw9PTGbzVStWtV67MSJE1SpUuWu93X9cgIPDw8qVarEtm3b\n7kq8a5UvX54LFy6QmpqKk5MTcOVLeoUKFW4aNz4+nlGjRrF8+XLq1asHQKtWrYr8cZdOTk5cvnzZ\n+v706dN52tzonj08PLC3t+fAgQP5tilbtizTpk0DYM+ePXTt2hV/f/9cTz+RgmkJhoiIiIiIyB0I\nCgpixowZnDx5EovFwg8//MDGjRt57rnn7npf7u7uHD9+3Pq+du3aODs7M3fuXNLS0sjOziYuLo79\n+/ffMMa1RYDr41173sPDg3r16jF58mTS09OJjY1l6dKldOzY8aaxU1NTMRgMuLm5kZOTw7Jly27p\ncZe3W6gwmUx8/fXXZGVlsX//fr755pubxr16rFy5cjRv3pxx48Zx6dIlLBYLx44dY+fOnQCsW7eO\nkydPAvCvf/0Lg8Fw01kkkptmQIiIiIiIyAPJ2ehCSMWimwLvbHQpVLthw4bx/vvv06FDBy5evMij\njz7K7NmzqVat2g2vuZVHdF7btmvXrvTv3x+TyUSjRo1YsGABn332GePHj6dRo0ZkZGRQpUoVXnvt\ntULFGzx4MG+99RYTJ05kyJAhPPfcc7nOz5kzh1GjRlGnTh1cXV0ZOXIkTZo0uWnsxx9/nP79+xMU\nFITRaCQ4OPiW9ky4NodbGauRI0cycOBATCYT/v7+dOjQgQsXLhQY69pjM2bMYOLEibRo0YLU1FQq\nVapkfdrF/v37rcWJsmXLMmHCBCpWrFjo3AQMlqKeA3OPJCQkFHcKIiJSxFxcXEhOTi7uNEREpAh5\neHjkezw9PZ1z587d42zkfnf8+HGaNWvG0aNHizsVuUaZMmXybPIJWoIhIiIiIiIiD6hDhw5ZN4mU\n+5+WYIiIiIiIiMgD58MPPyQiIoJ33323uFORQtISDBEReWBoCYaIyMNPSzBEHnxagiEiIiIiIiIi\nxUYFCBEREREREREpcipAiIiIiIiIiEiRUwFCRERERERERIqcnoIhIvIAsbdPxWhMKe40ilESTk7Z\nxZ1EscjOLkl6ulNxpyEiIiJy21SAEBF5gBiNKbi6RhZ3GlIMLlxoD6gAISIi94/p06eTmJjI5MmT\n72rborhe7g96DKeIyAPEyemMChD/UBcutCc11b240xARKXK38hjOHGM2mYaMIsvF1mKHTbaxwDbV\nqlXDYDAAkJqaip2dHUajEYPBwNSpU2nfvn2R5VeUjh49SkBAAGazubhTkQfQjR7DqRkQIiIiIiLy\nQMo0ZHAk87cii1/V1gd7HAtsc/jwYevrRo0a8d5779GkSZMbts/OzsZoLLioUdyys7OxWCzWwkpx\nexDGTArnnm1Cee7cOcaPH8/w4cN59dVX+fbbb/O0iY2NpWfPnowaNYpRo0axatWqe5WeiIiIiIjI\nHbFYLFw/wXzatGkMGDCAQYMGUb16db766iv27t1LUFAQvr6+1K1bl7Fjx5KdfWWPo+zsbLy8vFi8\neDFNmjTBZDIxduxYa7w///yTjh074uPjg5+fH6Ghobmu++STT2jUqBF+fn65litYLBY++OADGjZs\nyBNPPMHw4cNJSbmyr9TRo0fx8vJi2bJlNGjQgBdeeIHg4GDgygwPb29vfvnllzz3O23aNIYPH54r\nxsqVK6lXrx61atVizpw5+bbdtm0b/v7+uWLVq1ePnTt33nDMpk2bxrBhw6zt9+zZYx3D1q1bs2vX\nLuu5JUuW4O/vj7e3N02aNOHrr78u1OcnRe+ezYAwGo306NGDypUrk5aWxqhRo6hVqxaenp652vn4\n+DBq1Kh7lZaIiIiIiEiR+u677/joo4+YM2cO6enpxMXFMWHCBGrVqoXZbKZbt2489thj9OzZ03rN\n5s2biYqK4vz587Ru3ZpWrVoREBDA1KlTCQwMZNWqVWRkZOQpDERFRREVFcXFixfp3LkzVatWpVOn\nTnzxxResXr2ar776itKlSzN48GDGjBlDeHi49drdu3fzww8/YDAYOHnyJE2bNs01w6Mw9u7dy44d\nO4iLi6Nt27Y899xzVK5cOU+7m82uuHbM0tLSmDlzpvWa+Ph4evXqxdy5c2nWrBlbt26lT58+bNu2\njRIlSvDOO++wfv16Hn30Uc6cOcPff/99S/cgReeezYBwdXW1/ofn4OCAp6cnSUlJedo9JFtSiIiI\niIiIAFC/fn3+85//AGBvb4+fnx9PPPEEBoOBihUr8sILL1h//b8qNDSUkiVL4uXlRePGjTl48CAA\ntra2nDhxglOnTmFnZ0e9evVyXTd48GBcXFzw9PSkd+/erFmzBoDIyEhefvllPD09cXJy4vXXXycy\n8n/7ShkMBkaMGIGDg0O+a/cL42oMW1tbatSoQbVq1YiNjb2tWNeOmYODQ65zq1atonXr1jRr1gyA\n5s2b4+vry5YtWwCwsbHh0KFDpKen4+7uTtWqVW8rB7n77lkB4lqnT5/m2LFjPP7443nO/f7774wc\nOZLJkydrwxMREREREXngXb+x5pEjR/jvf/9L7dq1qV69Ou+//36eH2fd3f+38bCDgwOpqakAjBs3\njszMTJ599lkCAwNZsWJFruseeeQR62svLy9OnToFwKlTp/Dy8sp1LiMjI9fGntdee7vKlCljfe3o\n6Ghd5nGrbrQZKYDZbCYyMhKTyYTJZMLX15fo6GhOnTqFs7Mzc+bM4ZNPPqF27dr07NmTP//887Zy\nkLvvnm9CmZaWRnh4OD179sxTyXrssceYO3cu9vb2REdHExYWxowZM/LEOHjwoLUCCNC5c2dcXFyK\nPHcRkeKXd+aY/DMYjUb9XSci/xjLly+3vr76JfNBdv1yg9dff526desyf/58HB0diYiI4Pvvvy9U\nLHd3d8LCwgDYtWsXISEhNGrUyFo8SEhI4LHHHgOuLFWoUKECABUqVMj1A6/ZbMbe3p4yZcqQnJx8\n05zvJicnJy5fvmx9n5WVxfnz5wvdv4eHB126dGHSpEn5nm/RogUtWrQgPT2dSZMmMWrUqDyFGike\n97QAkZ2dzfvvv0+zZs2oX79+nvPXFiRq167NggULuHTpEs7Ozrna5feHUH7/04iIPGycnLKLOwUp\nJtnZ2aSm6u86EXn4ubi40Llz5+JOo0hdunQJFxcXHB0d+f3331m8eHGhZx+sXbuW+vXrU6FCBVxc\nXDAYDNjY/G9i+7x58/Dz8yM5OZmFCxcyZMgQANq1a8eHH35Is2bNcHV1Zdq0abkeEXr9UviyZcti\nMBg4fvw4lSpVKlRuhV1OX7VqVS5dusQPP/xA48aNCQ8Pt27CWRjBwcG0bduWp59+moCAADIyMti3\nb591qcX+/fsJCAjAzs4OJycnPUHjPnJPCxDz5s3Dy8uLZ599Nt/zFy5cwNXVFbgyLQnIU3wQERER\nEREBsLXYUdXWp0jj34rCzhoYO3Ysr7/+OrNmzaJmzZq0a9eO3bt33zDOte+jo6N5++23SU5Oply5\nckyaNAkPDw/rF/innnqKVq1akZKSwgsvvGAt5nTr1o0zZ87QoUMHMjIyaNmyJePHj79hnyVLlmTw\n4MG0adOG7Oxsli5dSs2aNW/p/m80HqVKleLdd99l6NChWCwWBg8enGvJyc14eXmxYMECJk6cyIAB\nA7C1teWJJ55gypQpWCwWIiIiGDp0KAaDAZPJlOtpIFK8DJZ7tOvjoUOHGDduHJUqVcJgMGAwGAgJ\nCeHMmTMYDAYCAwNZv349GzZswGg0YmdnR48ePfLdJyI/CQkJRXwHIiLFz8npDK6ukTdvKA+dCxfa\nk5pa+H+ciYg8qG609j89PT3XfgWSW3Z2No8++ii7du3K86TB+8GUKVM4f/48U6dOLe5U5B4oU6ZM\nvpuZ3rMZENWrV2fZsmUFtnn66ad5+umn71FGIiIiIiIiUtQsFgu///47derUKe5UpJjd800oRURE\nRERE5O4ryo0j78RTTz2Fi4sLISEhxZ2KFDMVIERERERERB5wRqOREydOFHca+dq4cWNxpyD3CZub\nNxERERERERERuTMqQIiIiIiIiIhIkVMBQkRERERERESKnPaAEBF5kOSUJPnvdsWdRfExGODePD36\n/pNTsrgzEBEREbkjKkCIiDxIMh1xTr5c3FlIMfjbwbG4UxARERG5I1qCISIiIiIiUgyCg4NZunRp\ncach+Zg1axavvfbaHcUwm814eXmRk5OT7/nw8HBCQ0PvqI8HjWZAiIiIiIiI3KFly5bx0UcfcfTo\nUf71r3/RunVr3njjDf71r38BV75sHj16lJkzZxZzplIYd6swYDAY7uj8w0YzIERERERERO5AREQE\nU6ZMYezYscTFxbF27VrMZjMhISFkZWXdkxws/9Q9kuSBogKEiIiIiIjIbbp06RLh4eG8++67NGvW\nDKPRiKenJ/Pnz+fEiROsWrWKLVu2MGvWLNauXUu1atVo1aqV9foTJ07Qvn17vL296datG+fPn7ee\n27t3L+3atcPX15dWrVqxY8cO67ng4GCmTp1K+/btqVq1KsePH8+Tm7+/PxEREQQGBuLr68vAgQPJ\nyMiwnv/iiy9o0qQJNWrU4KWXXiIxMdF6zsvLi0WLFhEQEIDJZGL06NEFjkNcXBwhISGYTCZq167N\n7NmzAcjIyGDs2LHUrVuXunXrMm7cODIzMwHYsWMH9erVY968edSqVYu6devy3XffsWnTJpo2bUqN\nGjWYNWuWtY/w8HD69+9PaGgo3t7eBAYG8ueffzJ79mxq1apFgwYN+OGHH3Ld//bt23Ndf3Vmw9Xl\nEStWrKBBgwb4+fnlmp1y/fKI3bt3Wz+LBg0asGLFCgC+//57WrduTfXq1WnQoAHh4eG5xsVisbBk\nyRLr/UdERNxwDAv6vB8WKkCIiIiIiIjcpp9//pmMjAyeeeaZXMednJxo2bIl27Zto0WLFoSGhhIU\nFMThw4eJioqytouMjGT69On88ssvpKenW7+gnjx5kh49ejBs2DBiY2MZM2YMffv2JSkpyXrtV199\nxXvvvcfhw4fx8vLKN79169axZMkSduzYQWxsLMuXLwdg+/btTJkyhQ8//JDo6Gg8PT0ZOHBgrmu/\n//571q9fT1RUFGvXrmXr1q359pGSkkJISAgtW7YkOjqaH3/8kYCAAABmzJhBTEwMGzZsYMOGDcTE\nxDBjxgzrtWfOnCEjI4N9+/bx6quvMnLkSFavXk1UVBRfffUV06dPx2w2W9tv3LiRTp068dtvv2Ey\nmejWrRsWi4V9+/bxyiuvMGrUqAI/r+uXPOzZs4ft27ezdOlSpk+fzpEjR/K0NZvNdO/end69e/Pr\nr78SFRWFyWQCoGTJksycOZNDhw7x+eefs2jRolyfL1wptPz444988cUXzJ07N1dR5KrCfN4PAxUg\nREREREREblNSUhJubm7Y2OT9alW+fPmbfoHs0qULlStXxt7enqCgIGJjYwFYvXo1//nPf2jRogUA\nTZs2pVatWmzatMl6befOnalatSo2NjYYjcZ84/fp0wd3d3dKlSrFU089xcGDB4ErhY+rMxZsbW15\n44032Lt3L/Hx8dZrBw8ejLOzM56enjRu3Nh67fU2btxIuXLl6Nu3L3Z2djg5OfHEE09Y+xk+fDhu\nbm64ubkxfPhwVq1aZb3W1taWIUOGYDQaadeuHUlJSfTp0wdHR0eqVatGtWrVrGMC0LBhQ5o1a4aN\njQ1t2rQhKSmJwYMHW68/ceIEycnJBY75VQaDgVdffRU7Ozt8fX3x9fXN1ddVkZGRNGvWjLZt22I0\nGnF1dcXX1xe4MsvC29sbgOrVq9O2bds8MxeGDx+Og4MD1atXp0uXLqxZsyZPH4X5vB8G2oRSRERE\nRETkNrm5uZGUlEROTk6eIkRiYiJubm4FXl+uXDnra0dHR1JSUoArv7qvW7eOjRs3Alem8mdlZVln\nFgB4eHjcNL+yZcvmin91mUViYiI1a9a0nnNycqJ06dKcPHkST09PANzd3fPNrWXLlpjNZgwGA4sX\nLyYhIYFHH3003/5PnTpljQfg6emZa6lH6dKlrTMNHBwc8uTs4OBg7Te/c25ubnmuT0lJwcXF5aZj\nc/09Ojg4kJqamqdNQfcXHR3NpEmTiIuLIzMzk4yMDNq0aWM9bzAYeOSRR6zvPT09OXToUJ44N/q8\nmzRpUqj7eFCoACEiIiIiInKb6tati52dHd9++22uL54pKSls3ryZN998E7j1px14eHjQsWNHpk2b\ndsM2d/IEhfLly+ea7ZCamsr58+dzfVm+ket/lU9ISMj3V32AChUqYDabefzxxwGIj4+nfPnyt533\nrXBycuLy5cvW96dPn76tOB4eHsTExOR7bvDgwbz00kt8+eWX2NraMm7cuFz7eMCV8alSpYr1dYUK\nFfLt42af98NASzBERERERERuk4uLC8OGDWPMmDFs2bKFrKwsTpw4wcsvv4ynpyfPP/88cOWXe7PZ\nXOinVTz//PNs3LiRrVu3kpOTQ1paGjt27ODUqVN3Je927dqxbNkyYmNjSU9PZ8qUKdSpUyfXbIXC\nCgwM5MyZMyxcuJCMjAxSUlKIjo629jNjxgySkpJISkpi+vTpdOzY8a7cw82YTCa+/vprsrKy2L9/\nP998802u84X9LDp06MD27dtZt24d2dnZnD9/3rocJSUlhVKlSmFra0t0dDSRkZF5+pg+fTqXL18m\nLi6OZcuW0bZt2zx9FPXnfb9QAUJEREREROQODBgwgNdff50JEyZY9wHw8vJi6dKl2NraAtCmTRss\nFgs1atSwblhZ0AwGDw8PPv74Y2bNmkXNmjVp2LAhERER5OTk3PTaqwpq07RpU0aOHEnfvn2pW7cu\nx48fZ+7cuTe8tqBYJUuWZMmSJURFRVG7dm2aNm1q3Qdh6NCh+Pn5ERgYyFNPPYWfnx9DhgwpdM63\nOsvj2vYjR47kr7/+wmQyER4eTocOHW6rL09PTxYtWkRERAQmk4nWrVvz22+/ATBx4kTCwsKoXr06\nM2bMyFNcMBgMNGrUiICAAEJCQhgwYABNmzbN08fNPu+HhcHykDwwNiEhobhTEBEpck5GC6XSHq7d\nkKVw/nZwIzX79qfaiog8KG60r0F6ejrnzp3LdezC6TQunM67Zv9ucS3nhGs5hyKLL/KwKlOmDPb2\n9nmOaw8IERERERF5IF04ncoHQzYWWfxhMwNVgBC5i7QEQ0RERERERESKnAoQIiIiIiIiIlLkVIAQ\nERERERERkSKnAoSIiIiIiMhdNmzYMMLCwti9ezfNmzcv7nRE7gsqQIiIiIiIiBSRBg0asHXr1uJO\nQ+S+oAKEiIiIiIiIiBQ5PYZTREREREQeSK7lnBg2M7BI4xfWgQMHGDFiBEePHuXJJ5/EYDAAsGPH\nDkJDQ/n5558BmDNnDh9//DGXLl2iQoUKTJo0iSZNmmCxWJgzZw5Llizh4sWLBAQEMHnyZFxdXQHo\n378/u3fvJj09HV9fXyZNmkS1atUA+P7773n33XdJSEjAxcWFvn370r9/fwA2bNhAWFgYZrOZatWq\nMXnyZHx8fArMRaSoqAAhIiIiIiIPJNdyDriWcyjuNMjMzKR3797069ePnj17sn79egYNGsSgQYMA\nrMWIP/74g08//ZT169fj7u5OfHw82dnZACxcuJCoqCi++uor3NzcGDNmDKNHj2bOnDkAtGzZkunT\np1OiRAkmTpzI4MGDiYqKAmDkyJHMnz+f+vXrc/HiRY4fPw78ryjy+eef4+fnx6pVq+jVqxfbtm3j\n+PHjN8xFpKioACEi8gCxWCwk25Uq7jSKjcFgwGKxFHcaxeLKfRuKOw0REcnHvn37yMrKonfv3gA8\n99xzfPjhh3naGY1GMjMzOXToEKVLl8bT0/P/2bv3uJqz/fHjr91uqzAuGUWF5hhKKaNQhpncjUtC\nucScwxzF0HHrYBimXI7LMBMdd2MaM0amGhPDOH5yOWbEHIZiCiWDUSqm3KLau/b+/eHh87V10SC5\nvJ+Ph8fD/qz1Weu91jbnPD7vvdb6KGVff/018+fPx9raGrh7iKWHhwfLly/HxMSEIUOGKHUnT57M\n+vXrycvLo2bNmmg0GlJTU2nRogW1atWiZcuWAGzatIm//vWvtGrVCgA/Pz/+/e9/c/z4caytrcuM\nRYjKIgkIIYR4nuTfpsa5/1V1FKIK3GzqAWavVHUYQgghSpGVlUXDhg2NrtnZ2ZWoZ29vz5w5cwgL\nCyM1NZVOnToRGhqKlZUV6enpBAQEYGJy95g+g8GAqakpV69epX79+ixatIgffviB3NxcVCoVKpWK\n3P++8/kAACAASURBVNxcatasyWeffcayZctYsGABLVq0YMaMGbi7u5Oens63337LF198obSp0+nI\nysrCw8OjRCwhISFKAkSIyiCHUAohhBBCCCHEY7C2tiYzM9PoWkZGRql1fXx8iI2N5ciRIwDMnz8f\nAFtbWzZu3EhycjLJycmcOnWKtLQ0rK2tiY2NJS4ujujoaE6fPs3PP/+MwWBQVgW6uroSERHByZMn\n6dmzJ++//z4ANjY2TJgwwajNs2fP4uPjU2osCxYsePKTI8R9JAEhhBBCCCGEEI/B3d0dU1NTIiIi\nKCoqYufOnSQmJpaod+7cOeLj49FqtWg0GszNzZUVD++++y6LFi1SEhc5OTnKGQ95eXlUq1aN2rVr\nc+fOHRYuXKicK6HT6YiNjeXWrVuo1Wpq1qyJWq0GYPjw4WzcuJGEhAQA7ty5w969e7lz5065sQhR\nWeRfmBBCCCGEEEI8Bo1Gw/r164mKiqJly5bs2LGD3r17l6in1WpZuHAhrq6uuLm5kZOTw4wZMwAI\nCAigZ8+e+Pv74+joSL9+/ZTEwaBBg7C1tcXd3Z0uXbrQpk0bo3a3bNmCp6cnLVq0YNOmTaxYsQK4\nuzJiyZIlzJo1C2dnZ9566y1iYmIeGosQlUVleEFO87p8+XJVhyCEEJXOovAWteQMiJfSzaYe5MsZ\nEEKIl4CNjU2p1wsLC8nJyXnK0QghHkW9evUwMzMrcV1WQAghhBBCCCGEEKLSSQJCCCGEEEIIIYQQ\nlU4SEEIIIYQQQgghhKh0koAQQgghhBBCCCFEpZMEhBBCCCGEEEIIISqdJCCEEEIIIYQQQghR6SQB\nIYQQQgghhBBCiEonCQghhBBCCCGEEEJUOklACCGEEEIIIcQLKCwsjPHjx1dJG+np6djZ2aHX6x+r\n/yfR9uTJk1myZAkAR44cwcvL64nHVBo7OzsuXrz4VPp6XphWdQBCCCGEEEII8SjybhWRd1NXae3X\nrKWh5isPf2Ty8PDg6tWrHDt2jLp16yrXe/TowalTp/jf//6Hra1tpcVZHpVKVWVtVPS+6OhoNm/e\nTGxsbKXH1K5dOw4cOPBI9/5ZT2LuXzSSgBBCCCGEEEI8l/Ju6vjmy+RKa3/oCOcKJSBUKhWNGjVi\n27ZtjBw5EoAzZ85QUFAgD6EVYDAYnut5Ki4uRq1Wl7huMBieaHsvAtmCIYQQQgghhBCPydfXl5iY\nGOVzTEwMgwYNMqrj5+fHN998o3yOjo5mwIAByufQ0FBatWqFo6Mj3bp1IzU1FYCCggLmzJmDh4cH\nTk5ODBw4kMLCQg4fPkybNm2M+vD09OTgwYOlxrh79266dOmCs7MzgwYNIi0tTSlbuXIl7u7uODg4\n4OXlRXx8fIn7i4qKCAoKYvTo0RQVFWEwGFixYgUdOnTAxcWFsWPHcuPGjVL7vnXrFlOmTMHNzY02\nbdqwePFiDAYDaWlpfPjhhxw7dozmzZvj7OwMwN69e+nZsyeOjo60a9eOsLCwUtstTVJSEu+88w6O\njo6MHTuWwsJCpezBOStr3FqtlpCQENzd3XF3dyc0NBSdTmfUxqpVq2jdujXBwcEArF69Gjc3N9zd\n3YmKijJKqmi1WubOnUu7du1o3bo1M2bMUOIqrb3c3FxGjBiBk5MTzs7O+Pr6Vnj8zzJJQAghhBBC\nCCHEY3JzcyMvL4+0tDT0ej3ff/89AwcOfOiv4PceUg8cOMDRo0eJj4/nzJkzrFmzRtnOMXfuXJKS\nkti+fTvJycnMnDkTExMTo/sf5ty5cwQFBTF37lxOnjxJly5dGDFiBEVFRZw7d44NGzawa9cuUlJS\niIyMpFGjRkb3FxQU8Pe//x1zc3PWrl2Lqakpn3/+Obt37+a7777j+PHj1K5dmw8//LDU/idNmoRG\no+HQoUPs3r2bH3/8kcjISF5//XUWLlyIu7s7qampJCffXdFSo0YN/v3vf3PmzBm++uorNm7cyO7d\nux86Tp1Ox6hRoxg0aBDJycn07duXnTt3ljrn5Y07PDycxMRE4uLiiIuLIzExkfDwcKWNq1evcuPG\nDY4cOcLixYvZv38/69atIyoqioMHD/LTTz8Z9Tl//nwuXLjAnj17iI+PJysri6VLl5bZ3tq1a7Gx\nsSEpKYmTJ08yffr0h479eSAJCCGEEEIIIYR4Au6tgvjxxx9p1qwZDRo0qPC9pqam5OXlkZqaisFg\n4PXXX6d+/foYDAaioqKYN28eVlZWqFQq3N3d0Wg0fyq27du3061bNzp27Ihareb999+noKCAX375\nBbVajU6n48yZMxQVFWFra0vjxo2Ve2/dusW7777La6+9xqeffqo8wH/99dd88MEHWFtbo9FomDx5\nMj/88EOJwyGvXr3K/v37mT17Nubm5lhaWhIYGMjWrVvLjNfT0xMHBwcAHB0d6devH4cPH37oOI8f\nP05RURGjRo1CrVbTp08fWrVqVWrd8sa9detWgoODsbS0xNLSkuDgYLZs2WJ075QpU9BoNJiZmbFj\nxw4GDx5Ms2bNsLCwIDg42Cj5FBkZyezZs6lVqxbVq1cnKCiIbdu2ldmeRqPhypUr/P7776jVatq2\nbfvQsT8P5AwIIYQQQgghhHgCfH19GThwIJcuXcLPz+9P3duhQwfee+89Zs6cSUZGBr169SIkJISC\nggK0Wi1NmjR5rNiys7Oxs7NTPqtUKmxsbMjKysLT05M5c+YQFhZGamoqnTp1IjQ0FCsrK+D/HupX\nrVpl1GZ6ejoBAQHKagyDwYCpqSlXr141qpeRkYFOp8PNzU2pZzAYyj2YMyEhgQULFpCSkoJOp0Or\n1dK3b9+HjjMrK4uGDRsaXbt/3Pezt7cvc9xZWVlG8dna2pKdna18trS0NEoCZWdn4+rqWmqfOTk5\n5Ofn06tXL+WaXq83SlA82N64ceP45JNPGDZsGCqVimHDhhEUFPTQ8T/rZAWEEEIIIYQQQjwBtra2\nNGrUiP379xs9bN5TvXp18vPzlc8PPqi/9957/Oc//+G///0v586dY/Xq1VhaWlKtWjUuXLjw0PaK\ni4vJyckpNTZra2vS09ONrl2+fFlZpeHj40NsbCxHjhwB7m4ZuMfLy4vx48czePBg/vjjD6Pxbty4\nkeTkZJKTkzl16hRpaWlYW1sb9WNjY4OZmRlJSUlKvdOnT7Nnzx6g9G0k//jHP3jnnXc4duwYp0+f\n5t13363QoY7W1tZkZmYaXcvIyCizflnjbtCggdF8ZWRkGI3rwZitrKy4fPmy8jk9PV2pY2lpiYWF\nBfv27VPm6vTp05w5c6bM9qpXr05ISAiHDh3iiy++YN26daWey/G8kQSEEEIIIYQQQjwhYWFhREdH\nY2FhUaLM2dmZnTt3kp+fz/nz59m8ebNSduLECRISEigqKsLc3Bxzc3NMTExQqVQMHTqUOXPmkJ2d\njV6v59ixY+h0Ov7yl79QWFjIvn37KCoqIjw8XDko8UHe3t7s3buX+Ph4ioqKWLNmDebm5rRp04Zz\n584RHx+PVqtFo9Eofd/v/fffp3///gwZMoTc3FwA3n33XRYtWqQ84Ofk5Bid03AvYWBlZYWXlxeh\noaHk5eVhMBi4ePEiP//8MwD169cnMzPTKPbbt29Tu3ZtNBoNCQkJJbZrlJWMcHd3x9TUlIiICIqK\niti5cyeJiYml1i1v3D4+PoSHh5Obm0tubi7Lli0r9yBIb29vYmJiOHv2LPn5+UbnO9xbwRAaGqok\niDIzM8t9HeiePXuUpFONGjUwNTUt8Z08j2QLhhBCCCGEEOK5VLOWhqEjnCu1/Yq4/9fr+89OeLAs\nMDCQEydO0Lp1a1q0aIGvr69yWOGtW7eYPXs2ly5dwszMDC8vL8aOHQvARx99xKJFi+jduzf5+fk4\nOTmxadMmXnnlFRYsWMCUKVPQ6/WMHTu2xPaDe5o2bcry5cuZNWsW2dnZODk5sWHDBkxNTdFqtSxc\nuJC0tDRMTU2Vt1Q8aNKkSWi1Wvz9/YmOjiYgIAAAf39/rly5Qr169ejXrx89evQoMfbw8HDmz59P\np06duHPnDo0bN2bcuHHA3e0nzZs354033kCtVnPy5Enmz5/P3LlzmTVrFp6envTr18/oDRtlHb6p\n0WhYv349U6ZMYfHixXTp0oXevXuXWre8cU+cOJG8vDy6deuGSqWib9++TJgwodR2ADp37kxAQACD\nBw/GxMSEadOmGSVNZs6cSVhYGN7e3ly7do0GDRrwt7/9DS8vr1LbO3/+PLNmzSI3N5fatWszYsQI\n2rdvX2b/zwuV4VFfTvqMuX+5ixBCvKgsCm9R69z/qjoMUQVuNvUg3+yVqg5DCCEqnY2NTanXCwsL\ny9xeIIR4ttSrVw8zM7MS15//NRxCCCGEEEIIIYR45kkCQgghhBBCCCGEEJVOEhBCCCGEEEIIIYSo\ndJKAEEIIIYQQQgghRKWTBIQQQgghhBBCCCEqnSQghBBCCCGEEEIIUekkASGEEEIIIYQQQohKJwkI\nIYQQQgghhBBCVDpJQAghhBBCCCFEJZs+fTrh4eEVquvn58c333xTyRG9HDIyMnBwcMBgMDzS/WFh\nYYwfP/6J1PX09OTgwYOPFEd5nqd/L5KAEEIIIYQQQojH4OHhQdOmTXF0dMTZ2Zn+/fuzceNGo4fe\nRYsWMXHixEqP5Xl6GH0abG1tSUlJQaVSAY82P/fufdJ1X0amVR2AEEIIIYQQQjzPVCoVX331FR06\ndCAvL4/Dhw8TEhJCQkICYWFhVR1elSsuLkatVld1GOIZICsghBBCCCGEEOIx3VvtULNmTbp3787q\n1auJiYkhNTUVgMmTJ7NkyRIAbty4wYgRI3B1dcXZ2ZkRI0aQmZlp1N758+fp27cvjo6OjBo1ihs3\nbihlx44dw8fHBycnJ3r06MHhw4cB+Pjjjzly5AgzZ87EwcGBjz76CIC0tDT8/f1xdnbGy8uL7du3\nK23t3buXzp074+DgQJs2bVi7dm2FxvvgSoLo6GgGDBigfLazs2PDhg107NiRt956C4CjR4/Sp08f\nnJyc6Nu3L7/88otS/9KlS/j6+uLo6Ii/vz8zZ8402s5Q1pjvxbJkyRL69++Pg4MDw4cP59q1awCk\np6djZ2eHXq8vc35CQkJo27Ytjo6O9O7dmyNHjlRoDkpTUFDA2LFjcXBwoFevXpw6darUelqtlpCQ\nENzd3XF3dyc0NBSdTqeUb9q0iQ4dOtCyZUv+/ve/k52drZT9+OOPeHl54eTkxKxZsx451qogCQgh\nhBBCCCGEeMLeeOMNGjZsyP/+978SZXq9nqFDh3L06FGOHj2KhYVFiQfJLVu2sHTpUhISEjAxMVHK\nMzMzGTFiBJMnT+bUqVN89NFHBAYGkpubywcffEC7du2YP38+KSkpzJs3j/z8fPz9/Rk4cCBJSUms\nWrWKDz/8kLS0NACmTp3K4sWLSUlJYd++fXTo0OGRx/zg9oPdu3ezc+dO9u/fz/Xr1xk5ciQBAQEk\nJSURGBjIiBEjuH79OgBBQUG4ubmRlJREcHAwW7ZsUdorb8z3bN26lWXLlnHy5EkKCwtZs2ZNibhK\nmx+A1q1bs2fPHk6dOkX//v0ZM2YMWq32keYgLi6Ofv36cerUKXx8fBg1ahTFxcUl6oWHh5OYmEhc\nXBxxcXEkJiYqZ4QcPHiQRYsWsW7dOhISErC1tWXcuHEA5ObmEhgYyPTp0/n1119p0qQJR48efaRY\nq4IkIIQQQgghhBCiElhbWysP2PerW7cuvXr1wszMjOrVq/OPf/yDn3/+2aiOr68vzZo1w8LCgmnT\npvHDDz9gMBiIjY2la9eudOrUCYC33nqLVq1asW/fvlJjiIuLo3HjxgwaNAiVSoWzszO9e/dWVkFo\nNBpSU1PJy8ujVq1atGzZ8omNf/z48dSqVQszMzP27t3La6+9xoABAzAxMcHHx4emTZsSFxdHRkYG\nJ0+e5J///Cempqa0bduW7t27K+1UZMxDhgzB3t4eMzMzvL29y1x5UJoBAwZQu3ZtTExMGD16NFqt\nlnPnzj3SmF1cXOjVqxdqtZoxY8ZQWFjI8ePHS9TbunUrwcHBWFpaYmlpqSRd7pXdW7Gi0WiYMWMG\nx48fJyMjg3379imrK9RqNYGBgdSvX/+RYq0KcgaEEEIIIYQQQlSCrKws6tSpU+J6fn4+oaGhHDhw\ngJs3b2IwGLh9+zYGg0H5td7Gxkapb2dnh06nIzc3l/T0dHbs2MGePXuAu1s/ioqK6NixY6kxZGRk\ncPz4cZydnZX6xcXF+Pn5AfDZZ5+xbNkyFixYQIsWLZgxYwbu7u5PZPwNGzZU/p6dnY2dnZ1RuZ2d\nHVlZWWRnZ1OnTh3Mzc2VMhsbG2VbSkXGbGVlpfzdwsKC27dvVzjONWvW8M0333DlyhUA8vLyjFZX\n/Bn3f28qlYqGDRuSlZVVol5WVha2trbKZ1tbW2WbRXZ2Ni4uLkpZ9erVqVOnDpmZmWRnZxv18WCf\nzzpJQAghhBBCCCHEE5aYmEh2djYeHh4lytasWcP58+fZuXMn9erVIzk5mXfeeccoAXH58mWlfnp6\nOhqNBktLS2xsbPD19WXx4sWl9vvgNggbGxvat29PZGRkqfVdXV2JiIiguLiYiIgI3n///Qot6a9e\nvTr5+fnK56tXr5Ybi7W1Nenp6UblGRkZdO7cWVkpUlBQoCQhLl++bJSMKW/Mf8aD83PkyBHlvI7m\nzZsD4Ozs/Miv7bz/ezMYDGRmZtKgQYMS9Ro0aEB6ejrNmjUD7s6FtbU1cHeuMjIylLp37tzh2rVr\nNGzYECsrK6OyB/t81skWDCGEEEIIIYR4QvLy8oiLiyMoKAhfX1/lofZ+d+7cwdzcnJo1a3Lt2rVS\n35Tx3XffkZaWRn5+Pp988gl9+vRBpVIxcOBA9uzZw4EDB9Dr9RQUFHD48GHlV/b69etz8eJFpZ1u\n3brx22+/sWXLFoqKitDpdJw4cYK0tDR0Oh2xsbHcunULtVpNzZo1jd5WYWdnV2JryD3Ozs7s3LmT\n/Px8zp8/z+bNm8udly5dunD+/Hm2bdtGcXEx27ZtIy0tje7du2Nra4urqythYWHodDp++eUXZbUD\n8NAxP8z9yYQH5ycvLw9TU1Pq1q2LVqtl6dKl5OXlldmWp6cnMTExZZb/+uuv7Nq1i+LiYtatW4eZ\nmRlubm4l6vn4+BAeHk5ubi65ubksW7YMX19fpSwqKopTp05RWFjIokWLcHNzw9bWlq5du3L27Fml\nj/Xr1/PHH38o7d47dPPBJMWzQhIQQgghhBBCCPGYRo4ciaOjI+3atWPFihWMGTOmzFdwBgQEkJ+f\nj4uLCz4+PnTp0sWoXKVS4evry6RJk3Bzc0On0zF37lzg7mqAiIgIli9fjouLCx4eHqxZswa9Xg/A\nqFGj2LFjB87OzoSEhFCjRg0iIyPZtm0bbm5uuLm5sWDBAuWQxS1btuDp6UmLFi3YtGkTK1asAO7+\nIv/KK6/g6OhY6hgCAwPRaDS0bt2a4OBg5eH5/jHcr27dumzYsIE1a9bg4uLC2rVr+fLLL5UtKitW\nrOCXX37BxcWFTz75hH79+mFmZlahMT/Y14PuL39wfjp37kynTp146623aN++PRYWFmVuadBqtVy/\nfr3UhMI9PXr04Pvvv8fJyYnY2Fg+++wzJalzfxwTJ07E1dWVbt260b17d1xdXZkwYQJw94yLqVOn\nEhgYiLu7O7///jurVq0CwNLSkrVr1zJ//nxcXFy4ePEibdq0UdrNyMigUaNGpa66eBaoDI+6tuQZ\n8zwtOxFCiEdlUXiLWudKnqYtXnw3m3qQb/ZKVYchhBCVrqyHv8LCQnJycoyuabUGCvL1lRaLuYUJ\n1aqV/3D7ovruu+9ITU1l+vTpVdL/2LFjadasGcHBwVXSf2mOHj3Kl19+qSRpnkXh4eG8+uqrDB8+\nvErjqFevnpJAup8kIIQQ4jkiCYiXlyQghBAviz+TgLh5o5jDByvvOaB9Rxtq1VY/vKJ4bCdOnKBO\nnTo0btyY//73vwQEBPD9998rh2eK50tZCQg5hFIIIYQQQgghRJW6cuUKAQEBXL9+nYYNG7Jo0SJJ\nPryAJAEhhBDPExMTbjdpXdVRVBmVCl6MdXuPwESObRJCCPHi6t69O927d6/qMEQlkwSEEEI8T/Ju\nUmNf6a/REi+2m12GQd0aVR2GEEIIIcQjk59ThBBCCCGEEOIZERYWxvjx459KX3Z2dkavpHxSunTp\nUubrO5+k6OhoBgwYoHxu3rw5ly5dqvR+xaOTFRBCCCGEEEII8Qx52Gsln/V+9u3bVyntlub+MaSm\npj61fsWjkRUQQgghhBBCCPESetIvRCwuLn6i7YkXjyQghBBCCCGEEM8lcwsT2ne0qbQ/5hYVe1xa\nuXIlHTp0wMHBgS5durBr1y6l7N42gXnz5uHs7Mybb77J/v37lfJLly7h5+eHo6Mjw4YNIzc3t9y+\n4uLi6NGjB05OTvTv35/Tp08rZZ6enqxZs4Zu3brh5OTEuHHj0Gq1Svnq1atxc3PD3d2dqKgoo9UD\nt27dYsKECbi6uuLp6Ul4eLhRv5s2baJTp07KGJOSkpQ+V61aRbdu3WjevDnFxcV4enpy8OBB4O6W\nkvfff5+JEyfi4OBA165d+fXXX5V2s7OzCQwMxNXVlTfffJOIiIgyx37t2jVGjhyJo6Mjffv2LbF9\n5P4tJXv37qVz5844ODjQpk0b1q5dW6E5LO+7vHDhAn5+frRo0QJXV1fGjRunlKWlpeHv74+zszNe\nXl5s375dKSsvlpeNbMEQQgghhBBCPJeqVVNRrZq6qsPA3t6erVu3Ur9+fbZv38748eM5dOgQ9evX\nByAxMZEhQ4aQlJTExo0bmTJlCseOHQMgKCiItm3bsnnzZo4fP87f/vY3evbsWWo/SUlJTJkyha++\n+gpXV1e2bNnCe++9x08//YRGowFgx44dbN68mWrVquHj40N0dDTvvvsu+/fvZ926dURHR2NnZ8fU\nqVON2p45cya3b9/mf//7Hzk5Ofj7+9OgQQOGDBnC9u3bWbp0KV988QUuLi5cvHgRU9P/e5Tctm0b\nX3/9NXXr1kWtLvl9xMXF8fnnn7Ns2TIWLVrEhx9+yPbt2zEYDIwcOZJ33nmHNWvWcPnyZYYOHcrr\nr7/O22+/XaKdDz/8EAsLCxITE7l48SLDhg2jSZMmSvn9CZWpU6eydu1a2rZty82bN/n9998rNIfl\nfZdLlizBy8uLb7/9Fq1Wy4kTJwDIz8/H39+fadOmERkZyalTpxg6dCgtWrTg9ddfLzOWl5GsgBBC\nCCGEEEKIx9CnTx8l2eDt7c1rr71GQkKCUm5ra8vQoUNRqVQMGjSI7Oxs/vjjDzIyMjh58iRTpkxB\no9Hg4eFR7qsoN23axF//+ldatWqFSqXCz8+PatWqcfz4caVOQEAA9evXp3bt2nTv3p3k5GTgbmJi\n8ODBNGvWDAsLC4KDg5UtGHq9nu3btzNjxgwsLCyws7NjzJgxfPvttwB88803jBs3DhcXFwCaNGmC\nra2t0ueoUaNo0KABZmZmpcbdrl07OnXqpMR8b8VBQkICubm5TJw4EbVaTaNGjfD392fbtm0l2tDr\n9fznP/9h6tSpmJub4+DgwKBBg4zq3L+lRKPRkJqaSl5eHrVq1aJly5YVmsPyvktTU1PS09PJzMyk\nWrVqtG3bFribYGncuDGDBg1CpVLh7OxM7969lVUQZcXyMpIEhBBCCCGEEEI8hpiYGGVJv5OTE6mp\nqVy7dk0pt7KyUv5uYWEBwO3bt8nOzqZ27drKNcDowf5B6enprF27FmdnZ5ydnXFyciIzM5OsrCyl\nzquvvmrU1+3bt4G7Wx1sbGyUMjs7O+Xvubm5FBUVGfVtZ2entHv58mWjlQYPatiwYZllgPJAfy+m\nwsJC9Ho9GRkZZGVlGY1nxYoV/PHHHyXayMnJobi42Kiv+8fwoM8++4y9e/fi4eGBn5+fsuLkYXNY\n3nf50UcfYTAY6Nu3L127diUqKgqAjIwMjh8/btTm1q1blXGUFcvLSLZgCCGEEEIIIcQjysjI4IMP\nPiA6Opo2bdoA0KNHjwod8Ghtbc2NGzfIz89XkhCXL18u8+0UNjY2TJgw4ZFe02llZcXly5eVz+np\n6Uo/lpaWaDQaMjIyeP3115XyBg0aKP2W97rOR32bho2NDY0bN+ann356aN169ephamrK5cuXadq0\nKXB37svi6upKREQExcXFRERE8P7773P06NFy5/Bh3+Wrr77K4sWLATh69ChDhw7F09MTGxsb2rdv\nT2Rk5J+K5WUkKyCEEEIIIYQQ4hHduXMHlUqFpaUler2eqKgoUlJSKnSvra0trq6ufPrpp+h0Oo4c\nOUJcXFyZ9YcPH87GjRuVLQF37txh79693Llz56F9eXt7ExMTw9mzZ8nPz2fp0qVKmYmJCX379uXj\njz/m9u3bpKen89lnn+Hn5weAv78/a9asUQ6PvHDhQrkP/w9z74G+devW1KxZk1WrVlFQUEBxcTEp\nKSnK2Qr3MzExoVevXoSFhZGfn09qaioxMTGltq/T6YiNjeXWrVuo1Wpq1qypnE1R3hw+7LvcsWMH\nmZmZANSqVQuVSoWJiQndunXjt99+Y8uWLRQVFaHT6Thx4gRpaWnlxvIyemorIHJyclixYgU3btxA\npVLRtWtXevfuXaJeREQEiYmJmJmZERQUhL29/dMKUQghhBBCCCH+lGbNmjFmzBi8vb1Rq9X4+fkp\nZwOU5f4VAytWrGDSpEm0bNkSd3d3Bg0axI0bN0q9z9XVlSVLljBr1iwuXLiAubk5bdu2pX379iXa\nfVDnzp0JCAhg8ODBmJiYMG3aNLZu3aqUz5s3j1mzZtG+fXvMzc0ZPnw4Q4YMAaBv375cv36doKAg\nsrOzadSoEeHh4dja2pba58NWRNwrNzEx4csvv2TOnDm0b98erVZL06ZNmTZtWqn3/etf/2LyyGY7\nPgAAIABJREFU5Mm4ubnRtGlThg4dyqFDh0rtd8uWLcyaNQu9Xk/Tpk1ZsWLFQ+fwYd/liRMnCA0N\nJS8vj1dffZV58+bRqFEjACIjI5k9ezZz5szBYDDg5OREaGhoubG8jFSGJ/3y1zJcv36d69evY29v\nT0FBAR988AHTpk0z2meUkJDArl27mDFjBmfPnmXDhg3Mnz+/Qu3fv5xICCFeVBbXMqm1r/TlfeLF\ndrPLMPLrlr/HVgghXgT3n1Nwv8LCQnJycp5yNEKIR1GvXr1SDyV9alsw6tSpo6xmMDc3x9bWtsQ7\nbo8ePYqXlxdwN5N4584drl+//rRCFEIIIYQQQgghRCWpkjMgrly5wsWLF2nWrJnR9dzcXOrVq6d8\ntrS0LJGkEEIIIYQQQgghxPPnqb8Fo6CggLCwMEaOHIm5ufkjtZGcnKy8zxZg8ODBvPLKK08qRCGE\neHbdvFLVEYgqYqpWy//XCSFeGtHR0crf773aUAjx/HuqCYji4mI+/fRT3n777VIPZrG0tDTa15WT\nk4OlpWWJeqX9j9CtW7eefMBCCPGMsSguruoQRBUpKi4mX/6/TgjxEnjllVcYPHhwVYchhKgETzUB\nsXr1auzs7Ep9+wVAmzZt+H//7//x5ptvkpqaSo0aNahTp87TDFEIIZ5tptW43WFAVUdRdVQqeDpn\nJz97TKtVdQRCCCGEEI/lqSUgzpw5w08//UTjxo2ZNm0aKpUKf39/rl69ikqlolu3bri5uZGQkMD4\n8eMxNzdn7NixTys8IYR4Pty8TvUNi6o6ClEFbo2cDq/Ue3hFIYQQQohn1FNLQDg6OhIVFfXQeqNG\njXoK0QghhBBCCCGEEOJpeuqHUAohhHgM1apze/CEqo6i6qiAl3QHBtWqV3UEQgghhBCPRRIQQgjx\nHNHnXkP10ZSqDkNUAf28pVC/YVWHIYQQ4jkRHR3N5s2biY2NrfS+/Pz88PPzY+jQoU+szbCwMM6f\nP8/y5cufWJui6plUdQBCCCGEEEII8Tzz8PDgL3/5C9euXTO63qNHD+zs7MjIyHjsPiZPnsySJUv+\n1D0qleqx+61KjxJ/WFgYEya8xKtFn3GSgBBCCCGEEEKIx6BSqWjUqBHbtm1Trp05c4aCgoLnPgkg\nxJMkCQghhBBCCCGEeEy+vr7ExMQon2NiYhg0aJBRHa1Wy9y5c2nXrh2tW7dmxowZFBYWAnD48GHa\ntGnD2rVradWqFe7u7soh/ps2bSI2NpbVq1fj4ODAe++9B8DKlSvp0KEDDg4OdOnShV27dlU43jFj\nxtC6dWucnJzw8/MjNTVVKZs8eTIzZ87kb3/7Gw4ODnh7e/P7778r5T/++CNeXl44OTkxa9ascvtJ\nTEykd+/eODo60rp1a+bOnWs03vt5enpy8OBB5XNBQQFjx47FwcGBXr16cerUKaVs5cqVuLu74+Dg\ngJeXF/Hx8fz3v/9l+fLlbN++nebNm9OjRw8AoqKi6NSpEw4ODnTo0IGvv/5aaae8eb8Xw5w5c/Dw\n8MDJyYmBAwcq39mxY8fw8fHBycmJHj16cPjw4TLnwc7OjosXLxrN8b0VLbm5uYwYMQInJyecnZ3x\n9fVV6mVnZxMYGIirqytvvvkmERER5c73s04SEEIIIYQQQgjxmNzc3MjLyyMtLQ29Xs/333/PwIED\nMRj+7/Tk+fPnc+HCBfbs2UN8fDxZWVksXbpUKb969Sq3b9/m+PHjLFmyhJkzZ3Lz5k2GDx/OgAED\nGDt2LCkpKXzxxRcA2Nvbs3XrVlJSUpg8eTLjx4/n6tWrFYq3S5cuHDp0iBMnTtCyZUv+8Y9/GJV/\n//33TJkyhdOnT2Nvb8/HH38M3H1YDgwMZPr06fz66680adKEo0ePltlPSEgIAQEBnDlzhkOHDuHt\n7a2UPWx1SFxcHP369ePUqVP4+PgwatQoiouLOXfuHBs2bGDXrl2kpKQQGRlJo0aN6NSpE+PHj8fb\n25vU1FR2794NQP369dm4cSMpKSmEhYUxe/ZskpKSHjrvAHPnziUpKYnt27eTnJzMzJkzMTExISsr\nixEjRjB58mROnTrFRx99RGBgILm5uaWOpbyxrl27FhsbG5KSkjh58iTTp08HwGAwMHLkSFq2bElC\nQgJRUVF8/vnn/Pjjj+XO27NMEhBCCCGEEEII8QTcWwXx448/0qxZMxo0aGBUHhkZyezZs6lVqxbV\nq1cnKCjIaNuGRqNh0qRJqNVqunTpQo0aNTh37lyZ/fXp04f69esD4O3tzWuvvUZCQkKFYh0yZAgW\nFhZoNBrlITovL08p79WrF66urpiYmDBgwACSk5MB2Ldvn7IiQa1WExgYqMRQmmrVqnHhwgVyc3Ox\nsLCgdevWFYoPwMXFRelnzJgxFBYWcvz4cdRqNTqdjjNnzlBUVIStrS2NGzcus50uXbrQqFEj4O55\nHV5eXhw5ckQpL2veDQYDUVFRzJs3DysrK1QqFe7u7mg0Gr777ju6du1Kp06dAHjrrbdo1aoV+/bt\nKzWG+xNRD9JoNFy5coXff/8dtVpN27ZtgburR3Jzc5k4cSJqtZpGjRrh7+9v9G/meSNvwRBCCCGE\nEEKIJ8DX15eBAwdy6dIl/Pz8jMpycnLIz8+nV69eyjW9Xm/0YFq3bl1MTP7vN2ILCwtu375dZn8x\nMTF89tlnpKenA3Dnzp0SB2GWRq/Xs2jRIn744Qdyc3NRqVSoVCpyc3OpWbMmgFFS4f44srOzsbGx\nMWrvwc/3++STT1iyZAleXl40adKESZMm0a1bt4fG+GC7KpWKhg0bkpWVRdu2bZkzZw5hYWGkpqbS\nqVMnQkNDsbKyKrWdffv2sXTpUn777TcMBgMFBQW0aNFCKS9r3nNzc9FqtTRp0qREm+np6ezYsYM9\ne/YAdxMMRUVFdOjQoUJju9/YsWP59NNPGTZsGCqVimHDhhEUFER6ejpZWVk4Ozsrfej1ejw8PP50\nH88KSUAIIYQQQgghxBNga2tLo0aN2L9/P59++qlRmaWlJRYWFuzbtw9ra+s/3faDS/gzMjL44IMP\niI6OVs5S6NGjR7m/tN8TGxtLXFwc0dHR2NracvPmTZycnCp0r5WVVYm3ely+fLnM+vb29qxcuRKA\nH374gTFjxpCUlET16tXJz89X6hUXF5OTk1NmuwaDgczMTGVViY+PDz4+Pty+fZtp06Yxf/58wsPD\nS8yTVqtl9OjRLF++nJ49e2JiYsKoUaMqNFZLS0vMzMy4cOGCUcIC7iZHfH19Wbx48UPbgbtJjfvH\ne/XqVSXBUqNGDUJCQggJCSE1NZVBgwbxxhtvYGNjQ+PGjfnpp58q1MfzQLZgCCGEEEIIIcQTEhYW\nRnR0NBYWFkbX7/2yHRoaqjxoZ2ZmcuDAgQq1W79+faODIO/cuYNKpcLS0hK9Xk9UVBQpKSkVaisv\nL49q1apRu3Zt7ty5w8KFCyv8to6uXbty9uxZdu3aRXFxMevXr+ePP/4os/53332nnIvwyiuvAGBi\nYsJf/vIXCgsL2bdvH0VFRYSHh6PT6Yzu/fXXX5V+1q1bh5mZGW5ubpw7d474+Hi0Wi0ajQZzc3Nl\nBcOrr75Kenq6kmDQ6XTodDosLS0xMTFh3759FZ5zlUrFkCFDmDNnDtnZ2ej1eo4dO4ZOp2PgwIHs\n2bOHAwcOoNfrKSgo4PDhw2RlZZXaVsuWLYmNjUWv17N//36jAyv37NnDhQsXgLvJCFNTU0xMTGjd\nujU1a9Zk1apVFBQUUFxcTEpKCidOnKhQ/M8iSUAIIYQQQgghxGO4/+G9cePGuLi4lFo2c+ZM7O3t\n8fb2pkWLFgwbNozffvutQu0OHTqUlJQUnJ2dCQgIoFmzZowePRpvb2/eeOMNUlJSlLMDHmbQoEHY\n2tri7u5Oly5dSryNojyWlpasXbuW+fPn4+LiwsWLF8u9f//+/XTu3BkHBwfmzJnD6tWrMTMz45VX\nXmHBggVMmTKFNm3aUKNGDRo2bGh0b48ePfj+++9xcnIiNjaW9evXo1ar0Wq1LFy4EFdXV9zc3MjJ\nyWHGjBkA9O3bF4PBQMuWLenVqxc1atRgzpw5jBkzBmdnZ7Zt20bPnj3LHeP98/7RRx/h6OhI7969\nadmyJQsXLkSv12NjY0NERATLly/HxcUFDw8P1qxZg16vL7XNOXPmEBcXh5OTE1u3bjXainP+/HmG\nDh1K8+bN6d+/PyNGjKB9+/aYmJjw5ZdfkpycTPv27XF1dWXq1KncunXrod/Ts0plqMjak+dAect+\nhBDiRWGWcgr1R5OrOgxRBYrnLaXQwamqwxBCiEpX1nkChYWFJZbo6/UmFBVVXiympmBiUvoDpRCi\nbPXq1cPMzKzEdTkDQgghhBBCCPFcKiqCc7+VfUjj42r6lxpUq1ZpzQvx0pEtGEIIIYQQQgghhKh0\nkoAQQgghhBBCCCFEpZMEhBBCCCGEEEIIISqdJCCEEEIIIYQQ4gmbPHkyS5Ys4ciRI3h5eT2VPu3s\n7Lh48eJT6UuIRyEJCCGEEEIIIYSoJO3atePAgQNPpa/7Xx8pxLNIEhBCCCGEEEII8RwpLi4u9brB\nYHii7QnxpEkCQgghhBBCCPFcMjW9+6rMyvpjalrxWJKSknjnnXdwdHRk7NixFBYWAnD48GHatGmj\n1Fu5ciXu7u44ODjg5eVFfHw8AFqtlpCQENzd3XF3dyc0NBSdTmfUxqpVq2jdujXBwcEArF69Gjc3\nN9zd3YmKijJaAaHVapk7dy7t2rWjdevWzJgxo0RM97eXm5vLiBEjcHJywtnZGV9f38f6boQozZ/4\nT0oIIYQQQgghnh0mJnqqVavqKECn0zFq1ChGjx7NyJEj2bVrF0FBQQQFBQH/tzXi3LlzbNiwgV27\ndlG/fn0yMjKU1Qfh4eEkJiYSFxcHwHvvvUd4eDhTpkwB4OrVq9y4cYMjR46g1+vZv38/69atIzo6\nGjs7O6ZOnWoU0/z587l06RJ79uzB1NSUoKAgli5dyvTp00ttLywsDBsbG5KSkjAYDBw/fvypzJ14\nuVRoBcS1a9dITEwkPj6exMRErl27VtlxCSGEEEIIIcRz4fjx4xQVFTFq1CjUajV9+vShVatWJeqp\n1Wp0Oh1nzpyhqKgIW1tbGjduDMDWrVsJDg7G0tISS0tLgoOD2bJli9G9U6ZMQaPRYGZmxo4dOxg8\neDDNmjXDwsKC4OBgoy0YkZGRzJ49m1q1alG9enWCgoLYtm1bme1pNBquXLnC77//jlqtpm3btpU4\nY+JlVeYKiOLiYvbu3cuePXvIyMjA2toaCwsL8vPzyc7OxsbGhu7du9O1a1fUavXTjFkIIYQQQggh\nnhlZWVk0bNjQ6JqdnV2Jevb29syZM4ewsDBSU1Pp1KkToaGhWFlZkZWVha2trVLX1taW7Oxs5bOl\npSUajUb5nJ2djaura6n95eTkkJ+fT69evZRrer3eKEHxYHvjxo3jk08+YdiwYahUKoYNG6as4BDi\nSSkzATF16lQcHR0ZOXIkzZs3x/S+DVBFRUWcPXuWn376iWnTpvHpp58+lWCFEEIIIYQQ4lljbW1N\nZmam0bWMjAzs7e1L1PXx8cHHx4fbt28zbdo05s+fT3h4OA0aNCA9PZ1mzZop91tbWyv3PfiGCysr\nKy5fvqx8Tk9PV+pYWlpiYWHBvn37jNq434PtVa9enZCQEEJCQkhNTWXQoEG88cYbdOjQoeITIcRD\nlLkFIyQkhNGjR+Pk5GSUfAAwNTWlRYsWjB49mo8++qjSgxRCCCGEEEKIZ5W7uzumpqZERERQVFTE\nzp07SUxMLFHv3LlzxMfHo9Vq0Wg0mJubY2Jy95HMx8eH8PBwcnNzyc3NZdmyZeUeBOnt7U1MTAxn\nz54lPz+fpUuXKmX3VjCEhoaSk5MDQGZmZrmvA92zZw8XLlwAoEaNGpiamiqxCfGklPkvqk6dOmXe\nVFRUpByWUl49IYQQQgghhHjRaTQa1q9fT1RUFC1btmTHjh307t27RD2tVsvChQtxdXXFzc2NnJwc\nZsyYAcDEiRNxdXWlW7dudO/eHVdXVyZMmFBmn507dyYgIIDBgwfTsWNHOnbsaFQ+c+ZM7O3t8fb2\npkWLFgwbNozffvutzPbOnz/P0KFDad68Of3792fEiBG0b9/+EWdEiNKpDBV4WezXX3+Np6cnr7/+\nOgkJCXz66aeoVComT56Mm5vb04jzoe5ffiSEEC8qs5RTqD+aXNVhiCpQPG8phQ5OVR2GEEJUOhsb\nm1KvFxYWKr/mCyGebfXq1cPMzKzE9Qqtqfnxxx+VQ02+/fZbxo0bxz//+U8iIyOfbJRCCCGEEEII\nIYR4IVUoAVFYWIi5uTl5eXlkZWXx5ptv8sYbb3D16tXKjk8IIYQQQgghhBAvgDLfgnG/Bg0acOjQ\nITIzM3FxcQHg1q1bRq9tEUIIIYQQQgghhChLhRIQAQEBREREYGpqyrhx4wBISEhQkhFCCCGEEEII\nIYQQ5alQAqJZs2YsXLjQ6Nrbb7/N22+/XSlBCSGEEEIIIYQQ4sVSoQQEQFZWFhcvXqSgoMDoupeX\n1xMPSgghhBBCCCGEEC+WCiUgtm7dSkxMDHZ2dkav0lCpVJKAEEIIIYQQQgghxENVKAHxww8/8K9/\n/YvXXnutsuMRQgghhBBCCCHEC6hCr+E0NTWlUaNGlR2LEEIIIYQQQojH5OfnxzfffPPY7Sxfvpxp\n06Y9Vhvp6enY2dmh1+srVH/y5MksWbIEgCNHjjy1Ffd2dnZcvHjxqfT1MqvQCgh/f382bNjA4MGD\nqVWrVmXHJIQQogz66jUxTJ9X1WFUGRUqDBiqOowqYahes6pDEEKIZ46JiSkGQ4V+U30kKpUevb7o\nofU8PDwoKCjg559/xsLCAoDNmzezZcsWvv3220qLr7KNHz/+ibSjUqke6b527dpx4MCBJxLDwzxq\njOLPqVACYuXKlQDExcWVKIuKinqyEQkhhChTQe51sgMnVHUYogpYR6xD3ahxVYchhBDPFIPBhLy8\nymu/Zs2KJTdUKhV6vZ7169cbPbRXxkNtcXExarX6ibf7sihr/gyGR/uBQ76PP6dC/0WFh4eX+UcI\nIYQQQgghXnZjx45l7dq13Lp1q9TytLQ0/P39cXZ2xsvLi+3btytlD26ZiI6OZsCAAcpnOzs7NmzY\nQMeOHXnrrbcAOHr0KH369MHJyYm+ffvyyy+/lNqvwWBg2bJleHh48MYbbzBp0iSjGGNiYvDw8MDF\nxYVly5bh6enJwYMHAQgLCzNKqBw5cgQfHx+cnJxo164dMTExAOzdu5eePXvi6OhIu3btCAsLq/C8\nJSUl8c477+Do6MjYsWMpLCxUyg4fPkybNm2UzytXrsTd3R0HBwe8vLyIj48HQKvVEhISgru7O+7u\n7oSGhqLT6YzaWLVqFa1btyY4OBiA1atX4+bmhru7O1FRUUbJIq1Wy9y5c2nXrh2tW7dmxowZSlyl\ntZebm8uIESNwcnLC2dkZX1/fCo//ZVOhBESDBg2UP9WrVzf6LIQQQgghhBAvO1dXV9q3b8/q1atL\nlOXn5+Pv78/AgQNJSkpi1apVfPjhh6SlpZXZ3oOrJ3bv3s3OnTvZv38/169fZ+TIkQQEBJCUlERg\nYCAjRozg+vXrJdqJiori22+/ZcuWLRw+fJjbt28zc+ZMAFJTU5k5cyYrV64kISGBW7dukZ2dXWoc\n6enp/PWvf2XUqFH8+uuv7N69G2dnZwBq1KjBv//9b86cOcNXX33Fxo0b2b1790PnTKfTMWrUKAYN\nGkRycjJ9+/Zl586dpfZ/7tw5NmzYwK5du0hJSSEyMlI5pzA8PJzExETi4uKIi4sjMTHR6Mfyq1ev\ncuPGDY4cOcLixYvZv38/69atIyoqioMHD/LTTz8Z9Tl//nwuXLjAnj17iI+PJysri6VLl5bZ3tq1\na7GxsSEpKYmTJ08yffr0h479ZVWhBERBQQGrVq1i+PDhBAYGMnz4cFavXk1+fn5lxyeEEEIIIYQQ\nz4UpU6awYcMGcnNzja7HxcXRuHFjBg0ahEqlwtnZmd69exutgniY8ePHU6tWLczMzNi7dy+vvfYa\nAwYMwMTEBB8fH5o2bVrqlvnY2FhGjx6NnZ0dFhYWTJ8+ne3bt6PX6/nhhx/o0aMHbdq0wdTUlClT\nppTZ/9atW3n77bfp168farWaOnXq4OTkBICnpycODg4AODo60q9fPw4fPvzQMR0/fpyioiJGjRqF\nWq2mT58+tGrVqtS6arUanU7HmTNnKCoqwtbWlsaNGyuxBQcHY2lpiaWlJcHBwWzZssXo3ilTpqDR\naDAzM2PHjh0MHjyYZs2aYWFhQXBwsNEWjMjISGbPnk2tWrWoXr06QUFBbNu2rcz2NBoNV65c4fff\nf0etVtO2bduHjv1lVaEzICIiIsjLy+Pjjz/m1Vdf5Y8//uCbb77hiy++YNy4cZUdoxBCCCGEEEI8\n8xwcHOjatSsrVqygWbNmyvWMjAyOHz+urBgwGAwUFxfj5+dX4bYbNmyo/D07Oxs7Ozujcjs7O7Ky\nskrc92BdOzs7ioqKuHr1KtnZ2djY2ChlFhYW1K1bt9T+L1++TJMmTUotS0hIYMGCBaSkpKDT6dBq\ntfTt2/ehY8rKyjIa1734SmNvb8+cOXMICwsjNTWVTp06ERoaipWVFVlZWdja2ip1bW1tjVZyWFpa\notFolM/Z2dm4urqW2mdOTg75+fn06tVLuabX640SFA+2N27cOD755BOGDRuGSqVi2LBhBAUFPXT8\nL6MKrYBISEhgwoQJ2NnZYW5ujp2dHUFBQSQkJFR2fEIIIYQQQgjx3PjnP/9JZGSkUTLAxsaG9u3b\nk5ycTHJyMqdOnSIlJYX58+cDUL16daPV5VevXi3R7v1bMqytrUlPTzcqz8jIKHWL/IN109PTMTU1\npX79+lhbW5OZmamU5efnc+3atVLHZWNjw4ULF0ot+8c//sE777zDsWPHOH36NO+++26FDnV8sP97\n4yiLj48PsbGxHDlyBECZvwYNGhiNMSMjA2tra+Xzg9tZrKysuHz5svI5PT1dqWNpaYmFhQX79u1T\nvq/Tp09z5syZMturXr06ISEhHDp0iC+++IJ169Yp51MIYxVKQFSrVo28B46XzcvLw9S0QgsohBBC\nCCGEEOKlYG9vT79+/fj888+Va926deO3335jy5YtFBUVodPpOHHihHIGhLOzMzt37iQ/P5/z58+z\nefPmcvvo0qUL58+fZ9u2bRQXF7Nt2zbS0tLo3r17ibr9+/fns88+49KlS9y+fZuPP/6Yfv36YWJi\nQp8+fYiLi+PYsWPodLpyD48cMGAABw8eZMeOHRQXF3Pt2jWSk5MBuH37NrVr10aj0ZCQkMDWrVuN\n7i0rGeHu7o6pqSkREREUFRWxc+dOEhMTS6177tw54uPj0Wq1aDQazM3NMTG5+zjr4+NDeHg4ubm5\n5ObmsmzZsnIPgvT29iYmJoazZ8+Sn59vdL7DvRUMoaGh5OTkAJCZmVnu60D37NmjJGdq1KiBqamp\nEpswVqFZ6dy5M//617/Yu3cvJ0+eZO/evSxYsIAuXbpUdnxCCCGEEEIIUSqVSk/NmlTaH5VKX8E4\njH8RnzRpEvn5+cr1GjVqEBkZybZt23Bzc8PNzY0FCxag1WoBCAwMRKPRKG9VePDh+cH269aty4YN\nG1izZg0uLi6sXbuWL7/8kjp16pSoP3ToUHx9fRk4cCBvvvkmFhYWzJs3D4DmzZszb948xo4di5ub\nGzVr1qRevXqYmZmVGKOtrS0bN25kzZo1ODs707NnT06fPg3cXYmwZMkSHB0dCQ8Pp1+/fuXGf49G\no2H9+vVERUXRsmVLduzYQe/evUutq9VqWbhwIa6urri5uZGTk8OMGTMAmDhxIq6urnTr1o3u3bvj\n6urKhAllv7a8c+fOBAQEMHjwYDp27EjHjh2NymfOnIm9vT3e3t60aNGCYcOG8dtvv5XZ3vnz5xk6\ndCjNmzenf//+jBgxgvbt25dZ/2WmMlRgbYzBYGDv3r0cPHiQa9euUbduXTp06EDXrl2fmczO/Uto\nhBDiRVV84iTZfx9d1WGIKmAdsQ51K9eHVxRCiOfc/WcS3K+wsFD5RVpUjjt37tCiRQvi4+PLPItB\niIooK5FVoT0UKpWKbt260a1btycemBBCCCGEEEKIqhEXF0fHjh0xGAzMmTOHFi1aSPJBVJoyExAH\nDx5UlqKUt9/Fy8vryUclhBBCCCGEEKLS7d69m4kTJwLg6urKqlWrqjgi8SIrMwFx4MABJQGxd+/e\nUuuoVCpJQAghhBBCCCHEc2rJ/2fvzqOqqt7Hj78vl1EGE3MCUssBuYCKOJvggAOmoIJTWGhq5oA5\npRKkoTkn5Yio9bUcUktF7ePXjziWU5pTCaiBIyBqggOITPf+/uDn+Xpl8GoiKc9rLde65+x99n7O\nuVrrPHcPc+cyd+7c0g5DlBFFJiBCQkKUz1OnTn0hwQghhBBCCCGEEOLVJPtoCiHEy8Tamte/nlfa\nUZQelQoM2Ff8lWRtXdoRCCGEEEL8I0UmIPr06WNQA+vXr39uwQghhChe+q00fu07qLTDEKWgddRa\nyr/1ZmmHIYQQQgjxzIpMQMyfP/9FxiGEEEIIIYQQQohXWJEJiKpVq77IOIQQQgghhBBCCPEKKzIB\nYej2K8OHD39uwQghhBBCCCHEq2jSpElUq1ZN2fLyRUhKSqJdu3acPXsWlUpVYv0kJibSvHlzrly5\ngpGREe+99x6+vr74+/uXWJ/i5VRkAsLW1vZFxiGEEMIA5vb2vB21rrTDKDVleQ1Kc/tqpR2CEEL8\n6yTfzuZa2oMSa79aBXPsXjN9Yr1mzZrx999/Y2Jiglqtpk6dOvj5+dG/f3/lxX/WrFklFudDzZs3\n58svv+Ttt98GwN7ennPnzpV4v4BegmPVqlUvpE/x8ikyAdG3b98XGYcQQggDqO2rc+c60KuIAAAg\nAElEQVQ1WYiwLLKyzANdVmmHIYQQ/yrX0h7Qe97BEmt/w7hWBiUgVCoV33//Pa1atSI9PZ3Dhw8z\nefJkTp48SXh4eInFJ8TLxqiogrNnzyqfY2Nji/wjhBBCCCGEEGWd7v8P0bOysqJDhw5ERETw448/\ncv78eQDGjBnD3LlzlfpLliyhUaNGuLu788MPP+Dg4MDly5cByM7OZurUqTRt2hQ3NzeCg4PJyspP\nQqemphIYGIhGo8HZ2Rk/Pz8ARo0aRVJSEgMGDMDR0ZGlS5eSmJiIg4MDWq2WrVu30qVLF72Yly1b\nxgcffPDEPh+n1WqZOnUqrq6utGrVil27dumV+/v7s25d/ojNS5cu4e/vj5OTE/Xr19ebwh8fH0+/\nfv1wdnbG09OTbdu2KWW7d++mU6dO1KtXj6ZNm+olcrKysggKCsLFxQWNRkPXrl25desWAPfu3WP8\n+PE0atSIxo0bM2fOHOW7KS4W8WIUOQJi6dKlfP311wAsXLiwyAYiIiKef1RCCCGEEEII8RJr2LAh\n1apV47fffqNu3bp6ZXv37mXFihVs2LABBwcHPvnkE70pDNOnT+fq1avs2rULY2NjRowYwVdffcWk\nSZOIjIzEzs6OM2fOoNPpOHHiBAALFizg6NGjzJs3j1atWgH5azM8bLdDhw5MmDCBS5cuUbNmTQC2\nbNnCRx999MQ+H7d69Wr27NlDdHQ0FhYWDB48uMjnMHfuXDw9Pfnpp5/Izs7m9OnTAGRmZtKvXz8m\nTJjA2rVriY2NpV+/fjg5OVG7dm0sLS1ZsGABjo6OnD17ln79+uHi4kLHjh358ccfSU9P5/jx45ia\nmhITE4O5uTkAo0ePpnLlyhw6dIj79+/z/vvvY29vT0BAQJGxiBenyATEw+QDSJJBCCGEEEIIIZ5W\nlSpVuH37doHzP//8M71796Z27doAjBs3js2bNyvla9euZffu3djY2AAwYsQIgoKCmDRpEiYmJty4\ncYMrV65Qs2ZNmjRpote2rojFkiwsLOjYsSNRUVGMHj2aCxcukJCQQMeOHZ/YZ2HxDx48WNk5MSgo\niCNHjhTar7GxMYmJiVy7do1q1aop8UZHR1O9enV69eoFgLOzM97e3mzbto0xY8bQvHlzpY169erh\n4+PD4cOH6dixIyYmJqSlpXHhwgWcnJxwcXEB4O+//2bv3r3ExcVhZmaGubk5Q4YMYc2aNQQEBBQZ\ni3hxikxAPE6r1ZKQkEBaWhq2tra89dZbGBkVOYNDCCGEEEIIIcq0lJQUXnvttQLnr1+/ToMGDZRj\nOzs75fOtW7fIzMzE29tbOafVapXEwrBhw5g3bx7vvvsuKpWKd999lxEjRhgUT/fu3Zk2bRqjR48m\nKiqKTp06YWZm9sQ+C4v/0Zjt7e2L7POzzz5jzpw5dO3alddee40PP/yQPn36kJSUxIkTJ3B2dgby\nEyd5eXnKzhknTpxg5syZnDt3jpycHLKzs+natSsAfn5+JCcnM3z4cO7evYufnx8TJ04kMTGRnJwc\nGjVqpLSp0+mU+IqKRbw4BiUgrly5wpdffklmZia2trakpqZiYWHB+PHjqV69eknHKIQQQgghhBAv\nlVOnTnH9+nWaNWtWoKxy5cpcu3ZNOU5KSlI+29raYmFhwZ49e6hSpUqBay0tLZk8eTKTJ0/m/Pnz\n9OrVi4YNG9KqVasnbrXp4eHBrVu3iImJYcuWLYSFhRnUZ2HxJycnFxr/415//XXmzJkDwLFjx+jb\nty/NmzfHzs6OFi1asHbt2kKvCwoK4oMPPmDt2rWYmJgwZcoU0tLSgPxRFWPGjGHMmDEkJSXRv39/\natWqRdu2bTEzM+PMmTOFPouiYqlRo8YT71k8HwYNYYiIiKBdu3ZERkYye/Zsli1bRvv27WVqhhBC\nCCGEEEI8Ij09nejoaEaMGIGfn1+B9R8AunXrxoYNG4iPjyczM5P58+crL8wPRzVMmTJFWVjx2rVr\n7N+/H4Bdu3Zx6dIlID8ZYWxsjFqtBvJfsK9cuaLX16OjGIyNjenatStffPEFd+7cwcPDw6A+C4v/\n22+/5dq1a9y+fZvFixcX+Tx+/vlnJdliY2ODSqXCyMgILy8vLly4wMaNG8nNzSUnJ4fTp08THx8P\nQEZGBuXLl8fExISTJ08SFRWltHno0CHOnj2LVqulXLlyGBsbY2RkROXKlfH09GTKlCmkp6ej0+m4\nfPmyMj2kqFjEi2PQCIjk5GR8fHyUL0elUtG1a1c2bdpUosEJIYQQQgghRFGqVTBnw7hWJdq+oQYM\nGKC8CNepU4ehQ4fy3nvvKeWP/iLftm1bPvjgA3r16oWRkRGjR49m48aNmJrmb/kZEhJCeHg43bp1\nIy0tjapVq/L+++/j6enJxYsXCQ0NJTU1lfLlyxMYGKislxAUFERoaCjTp09n1KhRvPPOOwVGAnTv\n3h0/Pz8GDBig9/JdXJ+PCwgI4OLFi3To0AEbGxuGDh3KoUOHCr3X06dPKwmB119/nWnTpvHGG28A\n+etOfP7554SFhaHT6dBoNEyZMgWAGTNmEBYWRmhoKM2bN8fHx4c7d+4AcPPmTSZNmkRKSgqWlpb4\n+Pgou4HMnz+f6dOn06ZNG+7fv0/16tWV3S6Ki0W8GCpdURN7HhEeHo6HhweNGzdWzv3+++/8+uuv\njBkzpkQDNNSjQ4CEEOJVlasyIylDXdphiFJgb5mHsa7w7dCEEOJV8ujaAo/KyspSfp1/1cTHx9O+\nfXsuXrwov8iLV0LFihUxMzMrcL7IERBLlixRPhsZGREeHk6dOnWoWLEit27dIj4+XlYNFUIIIYQQ\nQohnsGPHDtq1a8f9+/eZPn06HTt2lOSDeOUVmYCwtbXVO/bx8VE+V65cGScnp5KLSgghhBBCCCFe\nYatXr2bMmDGo1WpatGjBjBkzSjskIUqcQVMwXgYyBUMIURbIFIyyS6ZgCCHKirI4BUOIV01RUzCK\nHONz9epVgxo2tJ4QQgghhBBCCCHKriKnYCxduhQbGxs8PDzQaDSUL19eKbt79y6xsbHs37+f9PR0\npk2b9kKCFUIIIYQQQgghxMup2CkYR48eJTo6mtjYWExNTTE3N+fBgwfk5OTg4uKCl5eX3s4YpUmm\nYAghygKZglF2yRQMIURZIVMwhHj5PfUuGABNmzaladOm5OTkkJycTEZGBlZWVtjZ2WFsXOylQggh\nhBBCCCGEEAqDsggmJibUqFGjpGMRQgghhBBCCCHEK0o2mhVCCCGEEEKIErRw4UImTJjwVNckJibi\n4OCAVqt9rrG0a9eOI0eOPNc2hTCUzKMQQgghhBBCvJRu3tfyd0ZuibX/uqUxlcoZ/pvt5s2bWb58\nOfHx8VhbW6PRaBg1ahRBQUHP1L9KpXqm64qzZ8+e596mEIaSBIQQQgghhBDipfR3Ri6fbL1QYu3P\n9XmLSuVMDaobGRlJREQEs2fPxsPDA1NTU/bt20d0dDRNmjQp8rq8vDzUanWBc0K8imQKhhBCCCGE\nEEL8A/fu3WPevHnMmDGDTp06YWFhgVqtpn379nz66aeEh4croyAeTq1Yt24dTZs2pU+fPoWeA9Dp\ndGzcuJGmTZtSv359FixYoPSZnZ3N5MmTcXd3x93dnSlTppCTkwNAamoqgYGBaDQanJ2d8fPzU65r\n3rw5Bw4cAODUqVN06dKFevXq4ebmxtSpU1/UIxNlVJEjIMLCwgxqYMqUKc8tGCGEEEIIIYR42Rw/\nfpzs7Gw6d+5cZJ3Hp1McOXKE/fv3Y2RkxM2bN4s8d+zYMQ4cOEB8fDxdu3alS5cu1K5dm/nz53Pq\n1Cmio6MBGDhwIPPnz2f8+PFERkZiZ2fHmTNn0Ol0nDhxotCYJk+ezODBg+nZsyeZmZmcPXv2eTwO\nIYpUZAKidevWLzIOIYQQQgghhHgppaWlYWtri5GRYQPMVSoV48ePx8LC4onnxo0bh6mpKRqNBo1G\nQ2xsLLVr1yYqKorp06dja2sLwNixY5k0aRLjx4/HxMSEGzducOXKFWrWrFnkFBBTU1MuXbpEamoq\ntra2uLm5/YOnIMSTFZmAaNeu3YuMQwghhBBCCCFeShUqVCA1NRWtVmtwEqJatWoGnatUqZLy2dzc\nnPv37wOQkpKCvb29UmZvb8/169cBGDZsGPPmzePdd99FpVLx7rvvMmLEiAJtf/nll8ydOxdPT09q\n1KjB6NGj8fLyMih+IZ6FwYtQ3r17l4SEBO7du4dOp1POe3p6lkhgQgghhBBCCPEycHd3x9TUlB07\ndtClSxeDrilsh4un2fWiatWqJCYmUqdOHQCSkpKoUqUKAJaWlkyePJnJkydz/vx5evXqRcOGDWnV\nqpVeGzVr1mTx4sUA/Oc//2Ho0KGcOXNGbxSGEM+TQQmI33//nQULFlCpUiWSk5Oxs7MjOTmZOnXq\nSAJCCCGEEEIIUaZZW1szbtw4QkJCUKvVeHh4YGJiwq+//sqhQ4cKvNA/+oPu0557yNfXl/nz59Og\nQQMAvv76a2WxyV27dlG7dm1q1qyJpaUlxsbGBXbaANi0aRNt2rTB1tYWa2trAINHcAjxLAxKQPzw\nww8MHTqUVq1aMXDgQObNm8euXbtISUkp6fiEEEIIIYQQolCvWxoz1+etEm3fUEOHDqVKlSrMnz+f\noKAgrKyscHV1ZdSoUezfv1+vrqGjHx4/9+jxxx9/THp6Ol5eXqhUKrp27cqoUaMAuHjxIqGhoaSm\nplK+fHkCAwNp3rx5gTb27t1LWFgYDx48wMHBgYiICMzMzAy+ZyGelkpXXFrt/wsMDOS7774D8ldX\n/Z//+R+0Wi1Dhw5l+fLlJR6kIZKTk0s7BCGEKHG5KjOSMgr+giFeffaWeRjrsko7DCGEKHF2dnaF\nns/KyuLWrVsvOBohxLOoWLFiocksg1J6NjY23Llzh/Lly/P666/z119/YW1tTW5ursEBREREcOLE\nCcqXL8+XX35ZoDw2NpY5c+Yo85aaNm2qt1+tEEIIIYQQQgghXl4GJSDatm1LXFwczZs355133iEs\nLAyVSoW3t7fBHbVt2xZvb28WLVpUZB0nJycmTpxocJtCCCGEEEIIIYR4ORiUgOjZs6fyuU2bNmg0\nGh48eED16tUN7qhevXrcvHmz2DoGzAYRQgghhBBCCCHES8jgVVW0Wi0JCQmkpaVRoUIFatWq9dyD\n+euvv/jkk0+wtbXlvffew8HB4bn3IYQQQgghhBBCiBfPoATElStX+PLLL8nMzMTW1pbU1FQsLCwY\nP378U42CKM5bb73FkiVLMDMz4+TJk8ydO5f58+cXWjcmJoaYmBjluHfv3sq2MUII8Sq7+8DwtXfE\nq0VtbIS1ufy/TghRNmzYsEH57OzsjLOzcylGI4R4XgxKQERERNCuXTt8fHwwMjJCp9OxdetWIiIi\nmDlz5nMJxNzcXPns5ubGihUrSE9Px8rKqkDdwv4jdO/evecShxBC/JvlqcwA2QWjLMrL1cr/64QQ\nZYK1tTW9e/cu7TCEECXAyJBKycnJSvIBUPaZfdqtL3U6XZHrPNy+fVv5HB8fD1Bo8kEIIYQQQggh\nhBAvH4NGQDRo0IATJ07QuHFj5dzJkydp2LChwR3Nnz+f2NhY7t27x7Bhw+jduze5ubmoVCq8vLw4\ncuQI0dHRqNVqTE1NGT169NPfjRBCvOJUKh1VLfNKO4xSpALK5oLFKpWurN66EEIIIV4RKl0RQxKW\nLFmifM7Ozubo0aPUqVOHihUrcuvWLeLj42nSpMm/JlHwtKMxhBDiZXQ3T83hlKzSDkOUghZVzbBR\nl+XkkxCirLCzsyv0fFZWFrdu3XrB0Twf4eHhXLx4kYULF76Q/urWrcvu3bt54403Xkh/T6tdu3bM\nmDGD5s2bl3Yoz8Tf3x9/f3/69u3L5s2b+emnn1izZk1ph/WvUrFiRczMzAqcL3IEhK2trd6xj4+P\n8rly5co4OTk9x/CEEEIIIYQQ4uncyzXibra2xNq3MTXC2tiw9jdv3szy5cuJj4/H2toajUbDqFGj\naNKkCZA/jf1FOX/+/Avr61ns2bPnH13v4ODAwYMHqVGjxnOK6Nn16NGDHj16lHYYL40iExB9+/Z9\nkXEIIYQQQgghxFO5m63luz/vlFj7ga7lsTZg0npkZCQRERHMnj0bDw8PTE1N2bdvH9HR0UoCwlB5\neXmo1aW/4HRpxWFIv/8kmfNveb5llUGLUALExcURGRnJzJkziYyMJC4uriTjEkIIIYQQQoh/vXv3\n7jFv3jxmzJhBp06dsLCwQK1W0759ez799FOlXnZ2Nh9//DGOjo60b9+eP//8Uylr3rw5S5YswcvL\ni7p166LVavnrr7/w9/dHo9HQvn17du7cqdQfM2YMISEhvP/++zg6OtKtWzeuXLmilDs4OHD58mUA\nHjx4QFhYGM2aNUOj0dCzZ0+ysgpO5zx8+DCNGzdmyZIluLm5MXbsWACio6Pp2LEjGo2G7t27670H\nLl68GHd3dxwdHfH09OTgwYNA/pSTDz/8kGHDhuHo6Ii3tzexsbF693vgwAG9ukFBQTg5OfHjjz9y\n6tQpfHx80Gg0uLu7ExoaSm5u/lbkfn5+6HQ6vLy8cHR0ZNu2bQCsWbOGVq1a4eLiwgcffMD169f1\nnsfKlSt5++23ad26NSEhIUydOlXv/gcOHMiKFSsK/Y5/+eUXPD090Wg0hIaG6pVt2LBBbwTElClT\naNCgAfXq1cPLy0sZjZKdnc3UqVNp2rQpbm5uBAcHK9/DnTt3CAwMpH79+jg7OxMYGMi1a9eUNtev\nX0/Lli1xdHSkZcuWREVFKWXr1q2jTZs2ODs7079/f5KSkp4YS2kyKAGxd+9evvzySywtLXFzc8PS\n0pJ58+b946EzQgghhBBCCPEyO378ONnZ2XTu3LnYetHR0fTo0YOzZ8/i5eWll5wA2LJlC6tXryY2\nNhatVsuAAQNo27Ytf/zxB1OnTiUoKIgLFy4o9bdu3cr48eOJi4ujZs2azJ49Wyl7dITA1KlTOXPm\nDNu2bSMmJoaQkBBld8PH3bx5kzt37nD06FHmzJnDmTNnGD9+PHPnziUmJob+/fszcOBAcnJySEhI\nYOXKlezYsYNz586xdu1avTUnoqOj8fHxITY2Fl9fXwYNGkReXuFrGUVHR9OtWzfi4uLo0aMHxsbG\nhIWFERMTw9atWzl48CDfffcdABs3bgRg9+7dnDt3jm7dunHgwAFmzZrFsmXLOHnyJPb29gwfPlyv\nj507d7J9+3b27t1Lr1692LJli1KWmprKgQMH6NmzZ4HYUlNTGTJkCJMmTeLPP/+kRo0aHDt2TK/O\nw+e9f/9+jh07xsGDBzl79ixLly6lQoUKAEyfPp1Lly6xa9cuDh48SEpKCl999RUAWq2Wvn37cuzY\nMY4dO4aFhYWS6MjMzGTKlCmsWbOGc+fOsWXLFpydnQH473//y6JFi/jmm2/4888/adq0qXLfxcVS\nmgxKQERFRREaGkr//v3p3Lkz/fv3JzQ0VO9LE0IIIYQQQoiyJi0tDVtb2yJf6h9q2rQpbdq0QaVS\n4e/vX2BE+aBBg6hatSpmZmacOHGCzMxMRowYgbGxMa1atcLLy0vv/cvb25v69etjZGREjx49iImJ\nUcoe7jOg0+lYv34906ZNo3LlyqhUKtzd3TExMSk0RrVazfjx4zExMcHMzIw1a9bw3nvv0aBBAyVu\nU1NTTpw4gVqtJicnh7Nnz5Kbm4u9vT3Vq1dX2nJ1dcXb2xu1Ws3QoUPJysrixIkThfbr7u5Ox44d\nATAzM8PFxQU3NzdUKhX29vYEBARw5MgRvWse3UshKiqKfv364ezsjImJCcHBwRw/flxvNEBQUBA2\nNjaYmZnRsGFDbGxs+PXXX4H8ZE6LFi0KrIMI+etVPBzFoVarGTJkCJUqVSr0PoyNjUlPT+f8+fPo\ndDpq166t1F27di2ff/45NjY2lCtXjhEjRijfZ4UKFfD29sbMzIxy5coxcuRIvftVq9WcPXuWBw8e\nUKlSJerUqQPA6tWrCQoKolatWhgZGTFy5EhiYmJISkoqNpbSZFAC4t69ewVWUHVwcODu3bslEpQQ\nQgghhBBCvAwqVKhAamoqWm3xi1U++vJnYWFBVlaW3jXVqlVTPqekpBTYDcTBwUFvWP7j7WVkZBTo\nMzU1lezsbIMXa7S1tdVLTiQmJhIZGYmzszPOzs5oNBquXbtGSkoKNWvWJCwsjPDwcBo0aMCIESO4\nceOGcu2j8atUKqpVq0ZKSkqh/T567wAXLlwgMDAQNzc3nJycmD17NqmpqUXGff36dezt7ZXjcuXK\nUaFCBb3n9Xgf/v7+bNq0CcgfVeHn51dk249/F0Xt1NKqVSsGDhxISEgIDRo0YOLEiWRkZHDr1i0y\nMzPx9vZWnuV7771HWloakD/KYcKECTRr1gwnJyf8/f25e/cuOp0OCwsLIiIi+P7772nUqBGBgYEk\nJCQA+d/P5MmTlTZdXFxQqVSkpKQUGUtpMygBUbduXVavXk12djaQP39l9erV1K1bt0SDE0IIIYQQ\nQoh/M3d3d0xNTdmxY8c/aufRaRNVq1YlOTlZrzwpKanAS/ST2NraYmZmxqVLl546Bsh/0R41ahQx\nMTHExMQQGxvLX3/9ha+vLwC+vr5s3ryZo0ePAvnTDB56NH6dTse1a9eoWrWqQf0GBwdTp04dDh06\nRFxcHBMnTtQb8fC4KlWq6I12uH//PmlpaXrP6/E+evbsyc6dO4mNjSUhIaHIKTSVK1fWa/vxe3vc\nwIED+d///V/27dtHQkICERER2NraYmFhwZ49e5RnGRcXx9mzZ4H8RUwvXrzI9u3biYuLU6aZPLxn\nDw8PfvjhB06ePEmtWrWYMGECkP/9zJ49u8D34+7uXmQspc2gBMSHH35IQkICAwYMYOjQoQwYMICE\nhAQ+/PDDko5PCCGEEEIIIf61rK2tGTduHCEhIfz3v/8lMzOT3Nxc9uzZw4wZM4q8rrgXajc3Nyws\nLFiyZAm5ubkcOnSIXbt2KS/+hlKpVPTp04ewsDCuX7+OVqvl+PHj5OTkGHR9QEAAq1at4uTJk0D+\ni/3u3bu5f/8+CQkJHDx4kOzsbExMTDA3N9ebhvLnn3+yY8cO8vLyWLZsGWZmZjRq1MigfjMyMrCy\nssLCwoL4+Hi+//57vfLKlSsri2xCfiJk/fr1xMbGkpWVxaxZs2jUqJHeqIjHVatWjfr16zNq1Ci6\ndOmCmZlZofXat2/PX3/9pdzLihUruHnzZqF1T58+zcmTJ8nNzcXc3Fx5JiqVinfffZcpU6Zw69Yt\nAK5du8b+/fuV+zU3N8fKyoq0tDTCw8OVNv/++2927txJZmYmJiYmWFpaKsmU9957j4ULFyqLS969\ne5eff/652FhKmwGbyuRnzqZNm8aNGzdIS0ujQoUKVK5cuaRjE0IIIYQQQogi2ZgaEehavkTbh+Kn\nVgAMHTqUKlWqMH/+fIKCgrCyssLV1ZVRo0YVec2jv8g//uu8iYkJK1euJDg4mIULF1KtWjUWLFjA\nW2+9VWj94tr+7LPPmDVrFl26dCEzMxONRsOaNWueeE8A9evXZ+7cuYSGhnLp0iXMzc1p0qQJLVq0\nIDs7m5kzZxIfH4+xsTGNGzdmzpw5yrUdO3Zk69atfPzxx7z55pssX75c2f7ySfF/9tlnTJgwgYiI\nCFxcXPD19VV22AAYO3Yso0ePJisri9mzZ9O1a1c++eQThgwZwp07d5TdPAp7Ho/q1asXH3/8MV98\n8UWRsdja2hIZGUloaChjx47Fz8+vyK1V7927x+eff87Vq1cxMzPD09OTYcOGARASEkJ4eDjdunUj\nLS2NqlWr8v777+Pp6cngwYMZMWIErq6uVK1alaFDhyq7nmi1WpYtW8bo0aNRqVRoNBpmzZoFQOfO\nnbl//z7Dhw8nKSkJa2trPDw86Nq1a7GxlCaVrrjU20ukuGEwQgjxqribp+ZwSsGts8Srr0VVM2zU\nha8eLoQQr5Ki5tdnZWUpvx6Lf7fw8HAuXbrEggULSjuUYv3222+MGjWK3377rbRDeeVUrFix0FEl\nRY6A6NOnj0ENr1+//tmjEkIIIYQQQgghXrCcnBxWrFjBu+++W9qhlClFJiDmz5//IuMQQgghhBBC\nCCFKXHx8PN7e3ri4uDB48ODSDqdMkSkYQgjxEpEpGGWXTMEQQpQVMgVDiJffU0/BgPyVOf/88086\nduwIwKxZs8jNzVXKBw0a9NRbwQghhBBCCCGEEKLsKXYfji1btmBiYqIcx8XF0axZM5o1a0bVqlWJ\niooq8QCFEEIIIYQQQgjx8it2BERMTAzvv/++cmxkZESHDh2A/D1gg4ODSzY6IYQQQgghhBBCvBKK\nHQFx9+5dypUrpxw/um9ouXLluH37dslFJoQQQgghhBBCiFdGsQkIc3Nzbt68qRw3bdpU+Xzjxo1C\nF5UQQgghhBBCCCGEeFyxCQg3Nzc2bNhQaNmGDRtwc3MrkaCEEEIIIYQQQvwff39/1q1bB8DmzZsJ\nCAgo5Yie3pgxY5g7d+4Laf/o0aN4enqWWF/i2RS7BkSfPn0ICQkhODiYJk2a8Nprr3H79m2OHj3K\nnTt3mD59+ouKUwghhBBCCCH0ZKPmQQnuUGyuBlMM62Dz5s0sX76c+Ph4rK2t0Wg0jBo1iiZNmjz3\nuHr06EGPHj2ee7uvkqZNm7J///7SDkM8ptgERIUKFZg1axbbtm3j2LFj3L17F2tra1xcXPDx8cHG\nxuZFxSmEEEIIIYQQeh7kweGUrBJrv0VVM0zVT64XGRlJREQEs2fPxsPDA1NTU/bt20d0dPRTJyDy\n8vJQqw3otIzR6XSoVKrSDkP8Q8VOwQCwsbEhICCAmTNnsnjxYmbNmkX//v0l+SCEEEIIIYQo8+7d\nu8e8efOYMWMGnTp1wsLCArVaTfv27fn0008BOHXqFD4+Pmg0Gtzd3QkNDSU3NyLSX7AAACAASURB\nVFdpw8HBgZUrV/L222/TunVrAH755Rc8PT3RaDSEhobq9blhwwa9ERDHjh3jnXfeQaPR0LVrV37/\n/XcAtm7dSpcuXfSuXbZsGR988AEAu3fvplOnTtSrV4+mTZsSHh6u1MvKyiIoKAgXFxel3Vu3bgFw\n+/Ztxo4di7u7O87OzgwePLjQuB7e2+XLlws8tzt37hAYGEj9+vVxdnYmMDCQa9euKeX+/v7Mnj2b\n7t27U7t2ba5cuVKgjTNnztC5c2fq1avHsGHDyMr6v2TU4cOHady4sXK8ePFi3N3dcXR0xNPTk4MH\nDwL5iY1FixbRqlUrXF1dGTZsmN5mC0OHDsXNzQ2NRoO/vz/nz59Xynbv3k3btm1xdHSkcePGREZG\nKmXR0dF07NgRjUZD9+7diYuLe2IsZcETExBCCCGEEEIIIQp3/PhxsrOz6dy5c5F11Go1YWFhxMTE\nsHXrVg4ePMh3332nV2fnzp1s376dvXv3kpqaypAhQ5g0aRJ//vknNWrU4NixY3r1H44GuH37NgMG\nDGDw4MGcOXOGIUOGEBgYyO3bt+nQoQMXLlzg0qVLynVbtmxRkgSWlpYsWLCAs2fP8v3337Nq1Sp2\n7twJwI8//kh6ejrHjx8nJiaGWbNmYW5uDkBQUBAPHjxg3759/PHHHwwZMqRAXEUdP6TVaunbty/H\njh3j2LFjWFhYFEi0bNq0iS+//JLz58/j4OCgV5aTk8OgQYPo1asXMTExdO3ale3btxfad0JCAitX\nrmTHjh2cO3eOtWvX8sYbbwDwzTffsHPnTjZt2sSJEycoX748ISEhShvt2rXj0KFDnD59GhcXF0aO\nHKmUffLJJ8yZM4dz586xZ88eWrVqBeQnRsaPH8/cuXOJiYmhf//+DBw4kJycnGJjKQskASGEEEII\nIYQQzygtLQ1bW1uMjIp+tXJ1dcXNzQ2VSoW9vT0BAQEcOXJEr05QUBA2NjaYmZmxZ88eHB0d8fb2\nRq1WM2TIECpVqlRo27t37+bNN9+kR48eGBkZ4evrS61atYiOjsbCwoIOHToQFRUFwIULF0hISKBD\nhw4ANG/eHEdHRwDq1auHj48Phw8fBsDExIS0tDQuXLiASqXCxcUFS0tLbty4wf79+5k9ezbW1tao\n1WqaNWtW5L3rdLpCz1eoUAFvb2/MzMwoV64cI0eOLPBMevfuTe3atTEyMiowLeXEiRPk5uYyaNAg\n1Go177zzDg0aNCi0L7VaTU5ODmfPniU3Nxd7e3uqV68OwOrVq5k4cSJVqlTBxMSEMWPG8J///Aet\nVgvkr4toYWGhlMXGxpKenq48o/Pnz5Oeno6NjQ0uLi4ArFmzhvfee48GDRqgUqnw9/fH1NSUEydO\nFBtLWSAJCCGEEEIIIYR4RhUqVCA1NVV5YS3MhQsXCAwMxM3NDScnJ2bPnk1qaqpenWrVqimfr1+/\njp2dnV7548eP1n18dICDgwMpKSlA/oKVW7ZsASAqKopOnTopIxlOnjxJr169qF+/Pk5OTqxevVqJ\ny8/PD09PT4YPH467uzszZswgLy+P5ORkXnvtNaytrQ15PEXKzMxkwoQJNGvWDCcnJ/z9/bl7965e\nwqKoewZISUnRe2YP77swNWvWJCwsjPDwcBo0aMCIESO4ceMGAImJiQwePBhnZ2ecnZ1p27YtxsbG\n3Lx5E61Wy4wZM2jVqhVOTk60aNEClUqlPKPly5eze/dumjVrhr+/P8ePH1fajIyMVNrUaDRcu3aN\nlJSUQmO5fv36P3qWLxNJQAghhBBCCCHEM3J3d8fU1JQdO3YUWSc4OJg6depw6NAh4uLimDhxYoGR\nAY9OVahcuTJJSUl65cnJyYW2XaVKFRITE/XOJSUlUbVqVQA8PDy4desWMTExetMvAEaOHEnnzp05\nfvw4cXFx9O/fX4nL2NiYMWPGsHfvXrZu3Up0dDQ//fQTdnZ23L59m3v37hWIpVy5cmRmZirHD1/y\nC7N06VIuXrzI9u3biYuLY+PGjYD+iIniFp2sUqWK3poRD++7KL6+vmzevJmjR48CKDs62tvbs2rV\nKmJiYoiJiSE2Npb4+HiqVKnC5s2biY6OZsOGDcTFxXHkyBF0Op0SY/369fn222/5448/6NSpEx99\n9BGQnzgZNWqUXpt//fUXvr6+hcYyY8aMIuN+1TxzAmLTpk3ExsY+z1iEEEIIIYQQ4qVibW3NuHHj\nCAkJ4b///S+ZmZnk5uayZ88e5cUyIyMDKysrLCwsiI+P5/vvvy+2zfbt2/PXX3+xY8cO8vLyWLFi\nBTdv3iy0brt27bh48SJbtmwhLy+PLVu2EB8fj5eXF5CfSOjatStffPEFd+7cwcPDQ7k2IyOD8uXL\nY2JiwsmTJ5WpGgCHDh3i7NmzaLVaypUrh7GxMUZGRlSuXJm2bdvy6aefcufOHXJzc/ntt98A0Gg0\nnD9/ntjYWLKysggPDy8yiXD//n3Mzc2xsrIiLS1NbwFMQ7i7u2NsbMy3335Lbm4u27dv59SpU4XW\nTUhI4ODBg2RnZ2NiYoK5ubkyZaZ///7MmjVLSV7cunVLWQcjPT0dU1NTypcvz/3795k5c6ZyPzk5\nOWzevJl79+6hVquxsrJSpokEBASwatUqTp48qdzr7t27uX//frGxlAXFbsNZnFOnTrF7925ef/11\nwsLCnmdMQgghhBBCCPFE5ur8rTJLsn1DDB06lCpVqjB//nyCgoKwsrLC1dWVUaNGAfDZZ58xYcIE\nIiIicHFxwdfXV2/ng8df0m1tbYmMjCQ0NJSxY8fi5+dX5HaeFSpUYOXKlUyePJng4GBq1qzJd999\nR4UKFZQ63bt3x8/PjwEDBui97M6YMYOwsDBCQ0Np3rw5Pj4+3LlzB4CbN28yadIkUlJSsLS0xMfH\nBz8/PwAWLFjAlClT8PT0JCcnh5YtW9KsWTPeeustRo8eraybEBwczJo1awqNe/DgwYwYMQJXV1eq\nVq3K0KFDlRf/wp7J40xMTFixYgXjx49nzpw5tGvXrsCOHw9lZ2czc+ZM4uPjMTY2pnHjxsyZM0eJ\nA6Bfv37cuHGDihUr4uPjQ8eOHenVqxf79+/H3d2dChUq8Mknn7B69Wql3Y0bNxIaGopWq6VWrVos\nWrQIyB8ZMXfuXEJDQ7l06RLm5uY0adKEFi1aFBtLWaDSFbUqiIFu3rxZ5IIoL1JRQ5KEEOJVcjdP\nXaL7nYt/rxZVzbBR55V2GEIIUeKKmveflZWlbAMphPh3q1ixImZmBZODzzTW4+bNm8o//n9D8kEI\nIYQQQgghhBD/bgYlIBYsWMD58+cB2L9/P6NHj+bjjz9m3759JRmbEEIIIYQQQgghXhEGJSD++OMP\n3nrrLQB+/vlnQkNDmT59Ops3by7R4IQQQgghhBBCCPFqMGgRytzcXIyNjUlNTeXu3bs4OTkBkJaW\nVqLBCSGEEEIIIYQQ4tVgUAKiRo0abN26lRs3buDm5gZAamoqFhYWJRqcEEIIIYQQQgghXg0GTcH4\n6KOPiI+P5/79+/Tt2xeAc+fO0apVqxINTgghhBBCCCGEEK+GYrfhTEpKwt7e/kXG88xkG04hRFkg\n23CWXbINpxCirJBtOIV4+T3TNpyffvopmzdvRqvVllhgQgghhBBCCCGEePUVm4CYPn06J06cIDg4\nmMuXL7+omIQQQgghhBBCGMDf359169aVdhhCGKTYRSgdHByYNm0aO3bsYOrUqbRr1w4HBwe9Op6e\nniUaoBBCCCGEEEIURmdkQp7OoGXtnolapUWlzTGobrNmzXjw4AFHjhxRFuv/4Ycf2LhxIz/99FOJ\nxSjEy8SgXTBatGjBsWPHOHDgAJUqVVLOq1QqSUAIIYQQQgghSkWezoikDHWJtW9vaeALE/nvRlqt\nlhUrVhAUFKR3XgiR74npwn379jFu3DjeeOMNvv76a6ZOnar8CQsLexExCiGEEEIIIcS/3rBhw4iM\njOTevXsFyuLj4+nXrx/Ozs54enqybds2pezevXuMGjWK+vXr07x5c+bPn6+Ubdiwge7duxMaGoqT\nkxNt2rThwIEDhfZ/+fJlevfujYuLC/Xr1ycoKEgvlsWLF+Pu7o6joyOenp4cPHgQgPDwcIYOHUpQ\nUBCOjo54eXlx4cIFFi1aRIMGDWjatCm//PKL0s769etp2bIljo6OtGzZkqioqH/87ETZ8MQ1ILZs\n2cInn3zCgAEDCl3FUgghhBBCCCEE1K9fnxYtWhAREaF3PjMzk379+tGzZ0/OnDnDkiVL+PTTT4mP\njwcgJCSEjIwMfvvtN3766Sd++ukn1q9fr1x/8uRJ3nzzTc6cOcPYsWMZMmQId+7cKdC/TqcjKCiI\nU6dOsW/fPq5du8a8efMASEhIYOXKlezYsYNz586xdu1a3njjDeXaXbt20atXL+Li4nB2diYgIACd\nTseJEycYPXo0EydOVO5lypQprFmzhnPnzrFlyxacnZ2f+7MUr6ZiExBvvvkmc+bMwdHRsdBy2R1D\nCCGEEEIIIf7P+PHjWblyJampqcq56OhoqlevTq9evVCpVDg7O9OlSxe2bduGVqtl27ZtBAcHY2Fh\ngYODA0OHDtVbN+L1119n0KBBqNVqfHx8qFWrFrt37y7Qd82aNWndujXGxsbY2toyZMgQjhw5AoBa\nrSYnJ4ezZ8+Sm5uLvb091atXV65t1qwZHh4eGBkZ0bVrV1JTUxk5ciRqtRpfX1+uXr2qjKZQq9Wc\nPXuWBw8eUKlSJerUqVNSj1O8YopNQLz77ruYmJgUWpaTk0O/fv1KJCghhBBCCCGEeBk5OjrSvn17\nFi1apJxLSkrixIkTODs74+zsjEajISoqir///pvU1FRycnKwt7dX6js4OJCSkqIcV6tWTa8Pe3t7\nrl+/XqDvv//+m+HDh+Pu7o6TkxNBQUFKIqRmzZqEhYURHh5OgwYNGDFiBDdu3FCuff3115XP5ubm\n2NraKutXmJubA5CRkYGFhQURERF8//33NGrUiMDAQGUkhxBPUnJLxgohhBBCCCFEGTRu3DjWrl2r\nJBHs7Oxo0aIFMTExxMTEEBsby7lz55g+fTq2traYmpqSlJSkXJ+YmEjVqlWV42vXrum1n5SURJUq\nVQr0O2vWLIyMjNi7dy9xcXEsXLgQnU6nlPv6+rJ582aOHj0K5E+5fxYeHh788MMPnDx5klq1ajFh\nwoRnakeUPZKAEEIIIYQQQojnqGbNmvj4+PDNN98A4OXlRUJCAhs3biQ3N5ecnBxOnz5NfHy8MuVh\n9uzZZGRkkJiYyPLly/H391fau3XrFt9++y25ubls27aNhIQE2rdvX6Df9PR0ypUrh5WVFdeuXdNb\niyIhIYGDBw+SnZ2NiYkJ5ubmGBk9/evg33//zc6dO8nMzMTExARLS8tnakeUTYbuKiOEEEIIIYQQ\n/ypqlRZ7y5JtH92T60HB7TZHjx7Nxo0bUalUWFpa8sMPP/D5558TFhaGTqdDo9EwZcoUAKZNm0Zo\naCgtWrTA3NycgIAA+vTpo7Tl5ubGxYsXcXV1pVKlSixbtozy5csX6Hfs2LF8/PHHODk5UbNmTfz8\n/Fi+fDkA2dnZzJw5k/j4eIyNjWncuDFz5swx+Fk87Eer1bJs2TJGjx6NSqVCo9Ewa9Ysg9sRZZtK\n9+iYnMdMnjy5yH1rtVot58+f11udtTQlJyeXdghCCFHi7uapOZySVdphiFLQoqoZNuq80g5DCCFK\nnJ2dXaHns7KyuHXr1guOpvRt2LCBdevWsWnTptIORQiDVaxYsdBdNIsdAdGuXbtiGy1s2I8QQggh\nhBBCCCHE44pNQLRp06bYixMTE59nLEIIIYQQQgghhHhFPfUaEPfu3ePAgQPs37+fK1eusHbt2pKI\nSwghhBBCCCHKvN69e9O7d+/SDkOI58KgBEReXh7Hjx9n//79nDx5kry8PHx9fZk4cWJJxyeEEEII\nIYQQQohXQLEJiPj4eH755RcOHjwIQLNmzQgNDeWrr77inXfeUVZeFUIIIYQQQgghhChOsQmIkJAQ\nrKysGDhwIC1atECtVgMFt5gRQgghhBBCCCGEKI5RcYV+fn6UK1eOyMhIFi5cyO+//05eXp4kIIQQ\nQgghhBBCCPFUih0B8XDBk9jYWH755RcWLlyIsbExDx484MqVK7i6ur6oOIUQQgghhBBCCPESK3YE\nxEMajYaPPvqI5cuXM2DAADQaDdOnTyc4OLik4xNCCCGEEEKIV5K/vz/r1q0r7TBeGps3byYgIOAf\nt+Pg4MDly5cLLduwYQM9evT4x328asLDwwkKCvrH7RiUgHjI1NSU1q1bExISwpIlS2jWrNk/DkAI\nIYQQQgghXnbr16/Hy8uL2rVr06hRI4KDg7l7965SHh4ezqhRo0oxwpdfjx49WLNmzT9u50lLCvwb\nlxz4NySrnsdzMWgbzsTEROLi4khPT8fKygonJyccHBzo3r37Pw5ACCGEEEIIIV5mS5cuJTIykvnz\n59OqVStSUlKYNGkS/fr1Y8uWLRgbG/Ta9Y/odLp/5Yvzv5FOpyvtEF44rVaLkdFTjT8oEcVGoNPp\nWLJkCePGjWPz5s38/vvvbNq0ifHjx7NkyZIy+cUJIYQQQgghxEPp6emEh4fzxRdf4OHhgVqtxt7e\nnsjISK5evcrGjRvZt28fCxcuZNu2bdStW5eOHTsq11+9epXu3bvj6OhIQEAAaWlpStnx48fx9fVF\no9HQsWNHDh8+rJT5+/sze/ZsunfvTu3atbly5UqB2JKTkxkyZAj169fH1dWVzz77DMh/z/v6669p\n1qwZDRs2ZPTo0dy7dw/I//HZwcGB9evX06RJE5ydnVm1ahWnT5/Gy8sLZ2dnQkNDlT42bNhA9+7d\n+fzzz9FoNLRq1Yrff/+dDRs20KRJExo2bMiPP/6oF/ejv+Q/PuXBwcGBVatW8fbbb+Ps7ExISEiR\ndc+dO0e/fv1wdnbGzc2NRYsWAXDq1Cl8fHzQaDS4u7sTGhpKbm6u3rPZvXs3LVu2pH79+nzxxRdF\nfr/x8fFKH56enmzbtq3Iuo9zcHDgu+++4+2336ZevXrMnTuXy5cv4+vri5OTE8OGDVPiunPnDoGB\ngdSvXx9nZ2cCAwNJSUkBYPbs2Rw9epSQkBAcHR2V77G42MaMGUNwcDDvvfcedevW5dChQ4wZM4aQ\nkBDef/99HB0d6datm97fm8mTJ9OkSRPq1atHly5dOHr0qMH3aqhiU3G7du0iNjaW6dOnU7t2beV8\nfHw88+fPJzo6Wu8fjxBCiJKlVqloVNmstMMoNSpU6CibyW+1/KolhBD/Sr///jvZ2dl4e3vrnS9X\nrhzt2rXj119/ZdGiRQQFBXHp0iUWLFigVy8qKoo1a9ZQrVo1AgICWLp0KcHBwVy7do3AwEAWLVpE\nmzZt+PXXXxkyZAi//PILtra2AGzatIk1a9bw1ltvFfhxWKvVEhgYSOvWrVm4cCFGRkacPn0ayJ8u\n8tNPP7Fx40YqVqzIqFGjCAkJ0Yvt1KlTHDx4kCNHjjBw4EDatm3Lhg0byM7OplOnTnTr1k2Zkn/q\n1CkCAgKIiYlh7ty5DB8+nI4dO3Lo0CEOHz7MkCFD6Nq1KxYWFoU+w8dHbuzevZsdO3Zw584dvL29\n6dixI56ennp1MzIy6NevH8OGDeO7774jNzeX8+fPA6BWqwkLC6Nhw4YkJyfTv39/vvvuOwYNGqT0\nsWPHDnbs2EF6ejp9+vShdu3a9O3bVy+OzMxM+vXrx4QJE1i7di2xsbH069cPJycnvffj4vzyyy/s\n3LmTpKQkOnXqxPHjx1m8eDGvvfYa3bp1IyoqCn9/f7RaLX379mXZsmXk5eUxduxYQkJC+Oabb5g4\ncSLHjh3D399fibGw2Pr27asX25YtW1i1ahXu7u5kZWWxceNGtm7dypo1a3BxceHjjz9m9uzZLF68\nGAA3NzfGjRuHtbU1K1asYOjQofz222+YmpoadK+GKDYB8csvvzBw4MACD7d27doMGDCAqKgoSUAI\nIcQLdPtBLt/9eae0wxClINC1PJblSjsKIYQQj0tNTcXW1rbQ4e1VqlThzz//LPb6Pn36ULNmTQC6\ndevGrl27gPwFF9u3b0+bNm0AaN26NQ0aNGDPnj34+/sD+bsWFvUifPLkSW7cuEFoaKgSW5MmTZS2\nP/zwQxwcHACYNGkS7du35+uvvwbyX/LHjBmDqakpHh4eWFhY4OvrqyQ+mjZtypkzZ5QExBtvvEGv\nXr0A8PHxYeHChYwdOxYTExM8PDwwMTHh4sWLaDSaJz9QYOTIkVhZWWFlZUXLli2JiYlREhAP7dq1\ni8qVKzNkyBAgf73Chg0bAujt1mhvb09AQABHjhzRS0CMHDkSGxsbbGxsGDx4MFFRUQUSENHR0VSv\nXl25N2dnZ7y9vdm2bRtjxowx6F6GDx9OuXLlqFOnDo6Ojnh6eirPvW3btpw5cwZ/f38qVKigl8Qa\nOXIkffr0KbLdwmLr0qWLXmwdO3bE3d0dADOz/B+wvL29qV+/PpC/psbUqVOVNh8dXfLhhx8yf/58\nEhIScHJyMuheDVFsAiIxMbHIvyQajUYZ4iKEEEIIIYQQZZGtrS2pqamFzrG/fv268tJelMqVKyuf\nLSwsyMjIAPLfxX7++WclIaHT6cjNzeXtt99W6tvZ2RXZbnJyMg4ODoUmRq5fv668BEP+VIHc3Fxu\n3rypnHv99deVz+bm5lSqVEnv+GGcQIEyQO++H6//JI+29+gzefz+atSoUej1Fy5cICwsjD/++IMH\nDx6Qm5urvHQ/VK1aNeWzg4MD169fL9BOUlISJ06cwNnZGcj/DvLy8vDz8zP4Xh5/jo8f//3330D+\niIYpU6awf/9+7t69i06nIyMjo8i1PYqK7WFyCgr/+1Hcs126dCnr1q3jxo0bQP70otTUVIPv1RDF\nJiC0Wm2Rw2QsLCzQarXPNRghhBBCCCGEeJm4u7tjamrK9u3b6dq1q3I+IyODvXv38umnnwJPv4OA\nnZ0dfn5+zJkzp8g6xbVpZ2dHUlJSoYmRKlWqkJiYqBwnJiZiYmJCpUqVSE5Ofqo4n1a5cuXIzMxU\njh9NejwNOzs7tmzZUmhZcHAwrq6uLF26FAsLC1asWMH27dv16iQnJ1OnTh0g/2W+SpUqhfbRokUL\n1q5d+0wxPo2lS5dy8eJFtm/fTsWKFYmJiaFz585KAuLx79qQ2J7m79xvv/1GREQEP/74I3Xr1gXy\nR1U873Ufi12EMi8vjzNnzhT5RxIQQgghhBBCiLLM2tqaMWPG8Nlnn7Fv3z5yc3O5evUqH330Efb2\n9vTs2RPI/yU8MTHR4Be6nj17smvXLvbv349Wq+XBgwccPnxYWZjwSdzc3KhcuTIzZswgMzOTrKws\njh07BkD37t1Zvnw5V69eJSMjg9mzZ+Pj46MkKv7pS2dx1zs7O7N9+3YyMzO5ePEiP/zwwzP14eXl\nxc2bN/nmm2/Izs4mIyODkydPAvnJHysrKywsLIiPj+f7778vcH1ERAR37twhKSmJb775Bl9f30L7\nuHDhAhs3biQ3N5ecnBxOnz5NfHw8kL8oZvPmzZ8p/sfdv38fc3NzrKysSEtLIzw8XK+8UqVKXL58\n2eDYnlZGRgbGxsZUqFCB7OxsvvrqK9LT04us37x5c73FRQ1VbAKifPnyREREFPnHxsbmqTsUQggh\nhBBCiFfJsGHDmDRpEtOmTaNevXr4+Pjg4ODAunXrMDExAaBr167odDpcXFyUuf5PGsHw7bffsnDh\nQlxdXWnWrBlLly5VfgR+0q/bRkZGrFy5kosXL9KkSROaNGmi7JLQt29f/Pz86NmzJy1btsTCwoJp\n06Yp1z7e9pOOH1dc/SFDhmBiYoKbmxtjx44tMJ3B0F/tLS0t+eGHH9i5cydubm60bt1a2SXks88+\nY/PmzTg6OjJx4sQCyQWVSkWnTp3w9vamc+fOdOjQocD6Dw/7WLt2LVu2bKFRo0Y0atSIGTNmkJ2d\nDeSPoni4rsbTPofHDR48mMzMTFxdXfH19aVdu3Z65YMGDeLnn3/G2dmZyZMnPzE2Q+J5VJs2bWjT\npg2tW7emRYsWWFhYFDnFJzs7m9u3b9OoUaMi2ysyBt0rspdmSQ8VEkKIf4Ok+8gilGVUoGt57GUR\nSiFEGVDUS09WVha3bt16wdEIUbSAgADCwsL+H3t3HpBllf///3mzCLegjiiigOY3FZAbcUEFXHLJ\nXMpQE0tHHSs1M8Ok3HcrFWUiTVMbl7Hct9S0pg9u40yGaYKZkBA6lSzixrggst6/P/x5jwQIpojL\n6/HXfV/nXOe8z8nRud73Oecq9RsxHhWHDx/m008/ve2ZkNWqVbMcfHmr254BISIiIiIiIiKFrVmz\nprxDKBc3V9T8EbfdgiEiIiIiIiIici8oASEiIiIiIiIiZU4JCBEREREREREpc0pAiIiIiIiIPOai\noqJo3rx5ufQdEBDAN998Uy59A4wfP5758+cXW75gwQLGjh1b5nEEBwezfv36Mu+nPCkBISIiIiIi\n8oiJiIhg5MiRd3RPaV+B+bDYuHEjvXr1KrFeWFgYb731FlB0IiYkJIS5c+eWSYyPG70FQ0RERERE\nHkpZyalcT0kts/btXWth51arzNqXsmU2m0tMquTn52Nl9b/f5Utzj/xxSkCIiIiIiMhD6XpKKv/u\n+ecya7/ttrWlSkAEBATw8ssvs3nzZlJSUmjfvj3z5s2jQoUKAOzatYvw8HCSkpLw8PBg9uzZNGzY\nEIDExETGjx9PXFwctWrVYty4cXTu3BmA0NBQKlasyOnTp/nuu+/w8PDg448/pk6dOgBMnTqVf/zj\nH1y5coUnn3yS6dOn07JlS/75z3+yYMECAL7++mvq1q1LZGQkGzZsYPHixaSmplK9enWGDx/OgAED\n7nheLl26xMiRI4mJiSEvL4/mzZsTFhZGrVo35io4OBh/f38OHDjATz/9769MBQAAIABJREFURPPm\nzVm4cCFVq1YFYPPmzYSHh3Pt2jWGDh16275uNwdJSUkEBATw22+/WZIIwcHBBAcH07x5cyZOnEhu\nbi4eHh7Y2toSGxtLaGgo9vb2JCUl8d1337FixQq2bNmCq6srb775JgMHDiQnJwcPDw8MBgP//ve/\nWb16Nf/5z38scxoZGUlYWBhpaWl4e3sze/Zs6tevX+KfhZLm7XGgLRgiIiIiIiJ3aefOnaxbt46o\nqCji4uLYuHEjAMePH2f06NGEh4cTGxvLgAEDeOWVV8jJySE3N5dBgwbRoUMHjh07xrvvvktISAin\nTp2ytPvFF18wevRofvrpJ+rWrcucOXMsZU2bNmX37t3ExcXRs2dPhg0bRnZ2Nu3btyckJITnn3+e\nhIQEIiMjAXB2dmbVqlXEx8cTERHB9OnTOX78+B2PNT8/n759+3L48GEOHz6M0Whk8uTJBeps27aN\nefPmcezYMbKysliyZAkACQkJTJw4kYULFxIdHU16ejpnzpy5bX+3m4PiVivUr1+f2bNn4+fnR0JC\nArGxsZay7du3M2rUKBISEmjRooXlutFoZPXq1bi4uJCQkEB8fDw1atQo0M/JkycZMWIE7777LseO\nHaNjx44MGjSI3NxcSzvF/Vkozbw96pSAEBERERERuUtDhgzB2dmZKlWq8Mwzz1geeNesWcPAgQNp\n3LgxBoOB4OBgKlSoQHR0NNHR0WRmZjJixAhsbGxo3bo1nTp1Yvv27ZZ2u3Xrhq+vL1ZWVvTq1avA\ng3SvXr2oUqUKVlZWvPbaa2RnZ3Py5MliY+zYsSO1a9cGwN/fn3bt2nHo0KE7HmvVqlXp1q0bdnZ2\nVKxYkTfffJODBw8WqPPSSy9Rt25d7OzseP7554mLiwPgyy+/5JlnnqFFixbY2toyduzYErc83G4O\n/ojOnTvj5+cHgJ2d3R3du2PHDjp16kSbNm2wtrbm9ddf5/r163z//feWOsX9WSjNvD3qtAVDRERE\nRETkLlWvXt3y2Wg0kpaWBkBSUhKbN2/m73//O3DjjIGcnBzOnDmDwWDA1dW1QDvu7u6kpv7vXAtn\nZ+cC7WZkZFi+L1myhPXr13P27FkArl69ysWLF4uNce/evXz44YecOnUKs9nM9evXLVtB7kRmZibT\npk1j//79XL58GbPZTEZGRoHzE26uHPh93GlpaQXGbDQaLVszinO7Ofgjfj/ndyItLQ13d3fL95v/\nDW9dxVHcn4XSzNujTgkIERERERGRMuLq6srIkSMJCQkpVHbo0CFSUlIKXEtOTqZevXoltvvdd9+x\nePFiNm3ahIeHBwAmkwmz2QwU3pqQnZ3Na6+9xoIFC+jSpQtWVlYMHjzYUv9OfPLJJ/znP//hq6++\nolq1asTGxtK1a9dSPUi7uLiQmJho+Z6ZmUl6evodxwBQsWJFSxsODg4AnDt3zlJeXCy3i7E08cfH\nxxe4lpKSUqpzHJYsWfKH5+1RoS0YIiIiIiIiZaR///6sWrWKmJgYAK5du8aePXu4du0aTZs2xWg0\nsmjRInJzc/n222/ZvXs3PXr0KLHdjIwMbGxsqFq1KtnZ2Xz44YdcvXrVUl69enWSkpIsCYacnBxy\ncnJwcnLCysqKvXv3sn///mLbDw0N5e233y62b3t7exwdHUlPTyciIqLU8/Hcc8+xe/duDh8+TE5O\nDuHh4X8oCQLg5OREzZo12bJlC/n5+axfv55ff/3VUu7s7Exqaio5OTmlbrN69eqkp6dz5cqVIsuf\nf/559uzZw4EDB8jNzWXJkiXY29tbtnTczrVr1/7wvD0qlIAQERERERG5C7f79drX15fw8HAmT56M\nyWSibdu2bNq0CQBbW1tWrlzJ3r17adSoEZMnT+ajjz7iySefLLHd9u3b0759e9q2bUtgYCBGo7HA\n1oLu3btjNpvx8fGhW7duODg4MGPGDIYNG4bJZGL79u106dKl2PZTUlJo2bJlkWVDhgwhMzOTRo0a\n0aNHDzp27Fjq+fDw8GDmzJmMGDGCZs2aUbVq1duuHihpZUB4eDiLFy+mUaNG/PzzzzRv3txS1rp1\nazw8PGjSpAm+vr6l6qN+/fr07NmTwMBATCaTZXvLTfXq1WPBggVMnjwZX19fdu/ezcqVK7GxsSkx\n3ruZt0eFwfxH000PmN8vXRIReRSdu27gv1n55R1GuTEY4NH4V+vO/cnOCmf7x3TwIvJYKW5/flZW\nFhcuXChw7dLh6DJ/DWeVFs3KrP0HVU5ODp07d2b37t1YW1uXdzjyEKpWrVqRB3zqDAgRkYfI+StZ\njPniVMkV5ZETHvQkzvYVyjsMEZEHir1rLdpuW1um7T+ObG1t2bdvX3mHIY8gJSBEREREROShZOdW\nCzu3xzNJIPIwum8JiMWLFxMdHU2VKlX461//WmSdFStWcPToUezs7BgxYgR169a9X+GJiIiIiIiI\nSBm6b4dQdujQgUmTJhVbHhMTQ1paGh999BGvvfYaS5cuvV+hiYiIiIiIiEgZu28JCC8vL8u7WYty\n+PBh2rVrB0CDBg24du0a//3vf+9XeCIiIiIiIvdMaGgo4eHhHDp0yPKcI/K4e2Bew3nx4kWqVatm\n+e7k5MTFixfLMSIREREREZG707JlS/bv31/eYYg8EB7KQyhjY2OJjY21fH/xxRepVKlSOUYkInJ/\nOF6+xLQuT5R3GFIOHO1s9G+diDw2Nm7caPlsMpkwmUzlGI2I3CsPTALCycmpwHt9L1y4gJOTU5F1\ni/pL6MqVK2Uan4jIg+Dshav0/eBAeYch5WDjO62pXfmBWbgoIlJmKlWqxIsvvljeYdyx48ePM3r0\naH755Rc6dOiAwWAAICoqipCQEL7//nsAPv74Y1asWMHVq1epWbMms2bNonXr1pjNZj7++GPWrVvH\n5cuXadOmDbNnz+ZPf/oTAMOGDePQoUNkZWXh7e3NrFmz8PDwAGDPnj28//77pKSkUKlSJYYOHcqw\nYcMA2LVrF+Hh4SQlJeHh4cHs2bNp2LDhbWMRKSv39f/JmM1mzGZzkWXNmze3LE1KSEjAwcHB8j82\nERERERGRB1VOTg6DBw+mT58+xMbG0r17d7766itL+c1kxMmTJ1m5ciVff/018fHxrF27ltq1awOw\nfPlyIiMj+fzzzy1vD7z1EP+OHTvy7bff8sMPP+Dj48Obb75pKRszZgxz584lPj6evXv3WpIIN5Mi\n4eHhxMbGMmDAAF555RVycnJuG4tIWblvCYj58+czZcoUUlNTGT58OPv27WPXrl3s3r0bgGbNmlGj\nRg1CQkJYunQpgwcPvl+hiYiIiIiI/GHR0dHk5uYyePBgrK2tee6552jcuHGhetbW1uTk5HDixAly\nc3Nxc3OjTp06AKxevZpx48bh4uKCra0toaGhfPnll+Tn5wPw0ksvYTQaLWVxcXFcvXoVAFtbWxIS\nErh69SqVK1fGx8cHgDVr1jBw4EAaN26MwWAgODiYChUqEB0dfdtYRMrKfduC8dZbb5VYR0kHERER\nERF52Jw5c4ZatWoVuObu7l6oXt26dZkxYwYREREkJCTQvn17pk2bRo0aNUhKSmLIkCFYWd34jdhs\nNmNjY8O5c+dwdnYmLCyML7/8kosXL2IwGDAYDFy8eBFHR0eWLl3KvHnzmDVrFg0bNmTChAn4+fmR\nlJTE5s2b+fvf/25pMycnhzNnzuDv718olqlTp+Li4lL2EyaPLW0mFRERERERuQsuLi6kpqYWuJac\nnFxk3R49erB161YOHToEwMyZMwFwc3Nj1apVlgP34+LiSExMxMXFha1bt7Jr1y42btzITz/9xMGD\nBwtsb/f19WXFihUcO3aMLl268PrrrwPg6urKyJEjC7T5888/06NHjyJjmTVr1r2fHJFbPDCHUIqI\nSMlcnYxsfKdNeYdRbgwGQ7FnCT3qXJ3syzsEEREphp+fHzY2NqxYsYK//OUvREZGcvTo0UIHOp48\neZIzZ87QokULbG1tsbe3t2yxGDBgAGFhYcyfPx83NzcuXLjAkSNH6Ny5M1evXqVChQpUqVKFa9eu\nMXv2bMu5Ejk5OezcuZNOnTpRqVIlHB0dsba2BqB///4MGTKENm3a0LRpU65du0ZUVBSBgYGkpqYW\nG4tIWVECQkTkIeL6Jwcq2ziUdxhSDhwdwWzOLu8wRESkCLa2tixbtozRo0czd+5cOnbsyLPPPluo\nXnZ2NrNnzyYxMREbGxuaN2/O3LlzARgyZAgA/fr14+zZs1SrVo2goCA6d+5Mnz592L9/P35+flSt\nWpUxY8awevVqS7tbtmxh8uTJ5OfnU69ePRYuXAjcWBkRHh7O5MmT+eWXX7C3t6dFixYEBgbeNhaR\nsmIwPyI/JaWkpJR3CCIiZc5gqMD/f96UPGaUgBCRx4Wrq2uR17Oysrhw4cJ9jkZE/ohq1aphZ2dX\n6LrOgBARERERERGRMqcEhIiIiIiIiIiUOSUgRERERERERKTMKQEhIiIiIiIiImVOCQgRERERERER\nKXNKQIiIiIiIiIhImVMCQkRERERERETKnBIQIiIiIiIiIlLmlIAQERERERF5CIwfP5758+cXW75g\nwQLGjh1b5nEEBwezfv36UtWNioqiefPmpW47NDQUk8lE9+7dOXToEO3atSvxnq1bt9K/f/9S9/FH\n3K+5fdTZlHcAIiIiIiIif8iZNPLS0sqseWsXF6jpUmI9f39/rl+/zsGDBzEajQCsW7eOLVu2sHnz\n5hLv37hxI+vWrWPr1q23rRcWFmb5HBUVRUhICN9//73lWkhISIl9lQeDwVCqeocOHeKbb77hyJEj\n2NvbA7B///4S7+vVqxe9evW6qxhL8qDO7cNGCQgREREREXko5aWlkfbqa2XWvsuKv2FdigSEwWAg\nPz+fZcuWFXhQLe2Dt9lsLrFufn4+Vlb/W8BemnseNqdPn6Z27dqW5IM8erQFQ0RERERE5C4NHz6c\nTz75hCtXrhQqS0pKwt3dnfz8fMu1m9sYEhMTmThxIkeOHMHDwwOTyQTc2IowYcIEBg4ciIeHB99+\n+y2hoaGEh4eTmZnJwIEDSUtLw8PDA09PT86ePUtERESBBEhkZCQdO3bEZDLRp08fEhMTLWUBAQEs\nWbKETp064e3tzRtvvEF2djYAly5dYtCgQfj6+mIymRg0aBCpqamlmofr168zatQoTCYTHTt25Icf\nfihQnpaWxtChQ/H19aVVq1asWLECgPXr1zN27FiOHDmCp6cnERERhbZvpKSkWO5t1KgRU6ZMAW6s\nILl1BURiYiL9+vXDZDLRrl07duzYYSkLDQ1l0qRJ/OUvf8HT05Pnn3+e3377zVIeHx9vubdp06Ys\nXLgQoNDcHjlyhB49euDt7U3nzp2JioqylG3YsIFWrVrh6elJq1at2LZtW6nm7nGgBISIiIiIiMhd\n8vX1JTAwkMWLFxdZXtxqhfr16zN79mz8/PxISEggNjbWUrZ9+3ZGjRpFQkICLVq0sFw3Go2sXr0a\nFxcXEhISiI+Pp0aNGgX6OXnyJCNGjODdd9/l2LFjdOzYkUGDBpGbm2tpZ+fOnaxbt46oqCji4uLY\nuHEjcGO1Rd++fTl8+DCHDx/GaDQyefLkUs1DREQEp0+fJioqijVr1rBp0yZLmdls5uWXX8bHx4eY\nmBg2bNjA8uXL+de//kXfvn0t8xAfH8/bb79dYDz5+fkMGjSI2rVrc+jQIY4cOUJQUFCh+c3MzKRf\nv3688MILHD9+nEWLFjFx4sQCyZcvvviC0aNH89NPP1G3bl3mzJkDQEZGBv369aNjx47ExMRw4MAB\n2rRpU6iP1NRUBg0aRGhoKHFxcUyZMoWhQ4dy8eJFMjMzmTZtGmvWrCE+Pp7t27dbkkqiLRgiIg8Z\nMw4Oj9ZyyztjAMzlHUQ5eVzHLSLy8Bg9ejS9evViyJAh96S9zp074+fnB4Cdnd0d3btjxw46depk\neYB+/fXXWbZsGd9//z0BAQEADBkyBGdnZwCeeeYZS/KjatWqdOvWzdLWm2++yUsvvVSqfnfu3ElY\nWBiVK1emcuXKvPrqq8ybNw+AmJgYLl68yFtvvQVA7dq16devH9u3b+epp566bbvR0dGcPXuWyZMn\nW7ai3JqUuWnXrl3UqVOHPn36AGAymXj22WfZsWMHoaGhAHTr1g1fX1/gxvkR7777ruXeGjVqMHTo\nUAAqVKhAkyZNCvWxdetWnn76adq3bw9A27Ztady4MXv37uW5557D2tqaEydOUKtWLZydnS1zLEpA\niIg8VLKy8jh5KqO8w5ByUO9JBypUKO8oRETkdjw9PXn66adZuHAhDRo0uOv2XF1d//C9aWlpuLu7\nW74bDAZcXV05c+aM5Vr16tUtn41GI2n//4GeN3/F379/P5cvX8ZsNpORkVGqcyfS0tKoVauW5fut\nMSQnJ3PmzBnLigCz2Ux+fj7+/v4ljic1NRV3d/cC52AUJTk5mejo6AJ95OXlERwcbKlza0LAaDSS\nkZFh6eOJJ54oMZakpCR27tzJ7t27LX3k5ubSunVrjEYjixcvZvHixbzzzju0aNGCKVOmUL9+/RLb\nfRwoASEiIiIiInKPvPPOO3Tt2pVhw4ZZrlWsWBG48WDv4OAAwLlz5yzlxT3U3+5hv6REgIuLC/Hx\n8QWupaSkFEgOFGfJkiX85z//4auvvqJatWrExsbStWvXUiUgXFxcSElJsSRgkpKSLGWurq7UqVOH\nf//73yXG8Huurq4kJycXOoyzqHqBgYGsXbv2D/Wxffv2UtXr3bs3c+fOLbL8qaee4qmnniIrK4s5\nc+YwduxYPv/88zuO51GkMyBERERERETukbp16xIUFMTy5cst15ycnKhZsyZbtmwhPz+f9evX8+uv\nv1rKnZ2dSU1NJScnp9T9VK9enfT09CIPvQR4/vnn2bNnDwcOHCA3N5clS5Zgb29v2dJxO9euXcPe\n3h5HR0fS09OJiIgodVzdu3dnwYIFXLp0iZSUFP7+979bypo2bYqjoyOLFi3i+vXr5OXlER8fX+ig\nyqI0bdqUGjVqMGvWLDIzM8nKyuLw4cOF6nXq1IlTp06xZcsWcnNzycnJ4YcffihwBkRxOnXqxLlz\n51i+fDnZ2dlkZGQQExNTqN4LL7zA7t272b9/P/n5+Vy/fp2oqCjOnDnD+fPniYyMJDMzE1tbWxwc\nHEpctfE40QoIERERERF5KFm7uOCy4m9l2n5p/H5VwKhRo9iyZUuB6+Hh4UyYMIE5c+bQt2/fAm93\naN26NR4eHjRp0gRra2uOHTtWYj/169enZ8+eBAYGYjab2bdvX4G69erVY8GCBUyePJm0tDS8vb1Z\nuXIlNjY2RcZ8qyFDhjBixAgaNWpEzZo1GTZsGJGRkcWO91ahoaGMHz+ewMBAatasyYsvvmhJxlhZ\nWfHpp58yY8YMAgMDyc7Opl69eowdO7bY9m6ysrJi5cqVTJkyhRYtWmBlZUXPnj0LnQPh4ODA2rVr\nmT59OjNmzMBsNuPt7c20adNK7MPBwYF169YxZcoUIiIisLOzY8iQITRt2rRAPVdXV1asWMH777/P\nG2+8gY2NDU2aNGH27Nnk5+fzt7/9jVGjRmEwGPD29iYsLKzEvh8XBrPZ/EicapWSklLeIYiIlLns\nbCudAfGYunEGRH7JFUVEHnLFnXuQlZXFhQsX7nM0IvJHVKtWrciDU7UWRERERERERETKnBIQIiIi\nIiIiIlLmlIAQERERERERkTKnBISIiIiIiIiIlDklIERERERERESkzCkBISIiIiIiIiJlTgkIERER\nERERESlzSkCIiIiIiIiISJlTAkJEREREREQAcHd359dffy1V3YiICEJCQgBITk7G09MTs9lcluEB\nEBAQwDfffFPm/ci9Z1PeAYiIiIiIiPwRthfOYXX+XJm1n1/dmZxqziXW8/f35/r16xw8eBCj0QjA\nunXr2LJlC5s3by6z+EoSFRVFSEgI33//fanvMRgMd9THzfpubm7Ex8ff0b3y+FECQkREREREHkpW\n589hPSW07Dp470MoRQLCYDCQn5/PsmXLLCsCbl4vT2az+Y5juB8rGEorLy8Pa2vrB7Y9uXPagiEi\nIiIiInKXhg8fzieffMKVK1eKLE9MTKRfv36YTCbatWvHjh07LGVXrlxh5MiR+Pr6EhAQwPz58y1l\nGzdupFevXrz33nuYTCZatWrFvn37LOUbNmygffv2eHp60rp1a1avXg1AZmYmAwcOJC0tDQ8PDzw9\nPTl79ixHjx4lKCgIb29v/Pz8mDx5Mrm5uaUa4+nTpwkODsbLy4s///nPXLx40VKWlJSEu7s7+fn5\nlrhatWqFp6cnrVq1Ytu2bcCNBMe8efPw9/enSZMmjBo1yjJnN9tYv349LVu25KWXXgJg8+bN+Pv7\n06hRIz766KMCMZnNZhYuXEjr1q1p1KgRw4cP59KlS8W2l5WVRUhICD4+Pnh7e9O9e3cuXLhQqvHL\n3VMCQkRERERE5C75+voSGBjI4sWLC5VlZmbSr18/XnjhBY4fP86iRYuYOHEiiYmJAEyaNImMjAy+\n++47Nm/ezObNm9mwYYPl/qNHj9KgQQOOHz/O66+/zujRoy1lzs7OrFq1ivj4eCIiIpg+fTrHjx/H\naDSyevVqXFxcSEhIID4+nho1amBtbc2MGTOIjY3liy++4MCBA3z66aelGuOIESNo3LgxP/74I2+9\n9RabNm0qUH5ztUVmZibTpk1jzZo1xMfHs337dkwmE3AjMbF582a2bNlCVFQUGRkZTJo0qUA7Bw8e\nZP/+/axZs4aff/6ZiRMnsnDhQqKjo0lPT+fMmTOWusuXLycyMpLPP/+c6OhoqlSpwsSJEwu1969/\n/Ys1a9awadMmrl69ypEjR4iNjSUsLAx7e/tSjV/unhIQIiIiIiIi98Do0aNZuXJlgZUBALt27aJO\nnTr06dMHg8GAyWTi2WefZceOHeTn57Njxw4mTJiA0WjE3d2dYcOGFTg7ws3Njb59+2IwGOjTpw9n\nz57l/PnzAHTs2JHatWsDN86iaNeuHYcOHSo2xkaNGtG0aVMMBgNubm7079+fgwcPlji25ORkjh07\nxujRo7G1tcXf359nnnmm2PrW1tacOHGC69ev4+zsTIMGDQDYunUrr732Gu7u7hiNRsaPH88XX3xh\nWTlhMBgYPXo0RqMROzs7du7cyTPPPEOLFi2wtbVl7NixBbaVrF69mnHjxuHi4oKtrS2hoaF8+eWX\nhdqzt7fHzs4OW1tb0tPTOXXqFAaDAR8fHxwcHEocv9wbOgNCRERERETkHvD09OTpp59m4cKFlgdu\nuPHwHh0dbVkFYDabycvLIzg4mIsXL5KTk4Obm5ulvru7e4Ff+WvUqGH5bDQaMZvNZGRkUL16dfbu\n3cuHH37IqVOnMJvNXL9+nYYNGxYb46lTp5gxYwbHjh3j+vXr5Obm4uvrW+LY0tLSqFKliuWQTbiR\nGElNTS1U12g0snjxYhYvXsw777xDixYtmDp1KvXq1SMtLQ13d/cCY83NzeXcuf8dJlqrVq0C/bq6\nuhZou2rVqpbvSUlJDBkyBCurG7+tm81mbGxsim0vODiYlJQU3njjDS5fvkzv3r0ZN26czoa4T7QC\nQkRERERE5B555513WLt2bYEEgqurK4GBgcTGxhIbG0tcXBzx8fHMnDkTJycnKlSoQHJysqV+UlIS\nNWvWLLGv7OxsXnvtNd544w1+/PFH4uLi6NChg+UgyaIOoJwwYQINGjTg22+/5aeffmLcuHGlOnjS\nxcWFS5cukZmZabmWkpJSbP2nnnqKdevWERMTQ7169Rg7dqylnaSkpAJjtbW1xdn5f4d93hq3i4tL\ngX4yMzNJT0+3fHdzc2PVqlUF5jYxMREXF5ci27O2tiY0NJR9+/bxxRdfsGvXrnJ9U8njRgkIERER\nERGRe6Ru3boEBQWxfPlyy7VOnTpx6tQptmzZQm5uLjk5Ofzwww8kJiZiZWVF9+7dmTNnDhkZGSQl\nJbF06VKCg4NL7CsnJ4ecnBycnJywsrJi79697N+/31JevXp10tPTCxyMmZGRgaOjI0ajkcTERD77\n7LNSjcvNzQ1fX18++OADcnJyOHToELt27SpQ52Yi4/z580RGRpKZmYmtrS0ODg6WJEDPnj1ZunQp\np0+fJiMjgzlz5hAUFFRgBcOtnnvuOXbv3s3hw4fJyckhPDy8QJ0BAwYQFhZmSeBcuHCByMjIQjHd\n9O2333LixAny8/OpWLEiNjY25f62kseJtmCIiIiIiMhDKb+6841XZZZl+6Xw+wfYUaNGsWXLFst1\nBwcH1q5dy/Tp05kxYwZmsxlvb2+mTZsGwHvvvcfkyZMJDAzE3t6e/v37W94Acbv+HBwcePfddxk2\nbBg5OTl06tSJLl26WOrVr1+fnj17EhgYiNlsZt++fUyZMoWxY8eyePFifHx86NGjBwcOHCh2LLf6\n+OOPeeutt/Dx8cHPz48+ffpY3jhx6735+fn87W9/Y9SoURgMBry9vQkLCwOgb9++pKWl8cILL5Cd\nnU379u157733iu3fw8ODmTNnMmLECDIzM3nttdcKbKkYMmQIAP369ePs2bNUq1aNoKAgOnfuXGR7\n586dY/z48Zw5cwYHBweCgoJKleyRe8NgfpBe9HoXbrf8R0TkUZGdbcXJUxnlHYaUg3pPOlChQn55\nhyEiUuZu3e9/q6ysLL0uUeQhUa1aNezs7Apd1xYMERERERERESlzSkCIiIiIiIiISJlTAkJERERE\nREREypwSECIiIiIiIiJS5pSAEBEREREREZEypwSEiIiIiIiIiJQ5JSBEREREREREpMzZlHcAIiJS\nelZW8ESdiuUdRrkxGAyYzebyDqNcWOknAxEREXnIKQEhIvIQuZaRQ9Q3KeUdhpSDwDauVK5iXd5h\niIjIIywgIIC//vWvtGnTpsS6GzduZN26dWzduhUADw8P9uzZQ+3H7xQ1AAAgAElEQVTatcs0xuDg\nYIKDg+nbt2+Z9iNlQwkIERERERF5KFW4ko715Ytl1n5eZSeyK1UtsZ6/vz/nzp3jyJEjVK36v/qd\nO3cmLi6O7777Djc3t9u2kZSUREBAAL/99htWD8myN4PBYPmckJBQjpHIw0IJCBEREREReShZX75I\npZVhZdb+lZfHQykSEAaDgdq1a7N9+3ZefvllAE6cOMH169cLPKTfjtlsvquthnl5eVhbPzor5e71\neB61+XlYPRypNRERERERkQdY79692bRpk+X7pk2b6NOnT4E6e/bsoUuXLnh5edGyZUsiIiIK3A/Q\nsGFDPD09iY6OBmD9+vW0b98ek8nEgAEDSE5Ottzj7u7OypUradOmDW3btrVcW7VqFW3atMFkMjFp\n0iRL/V9//ZUXX3wRHx8ffH19CQkJ4cqVK6UaX3p6Oi+//DJeXl50796dX3/9tUC5u7u75dqePXvo\n0KEDnp6eNG/enE8++cRSb82aNbRu3RofHx9effVV0tLSbjuef/3rX7Rr1w5vb28mT55cKK47nZ9p\n06bRuHFjvLy86NSpk1Zu3GdKQIiIiIiIiNylZs2acfXqVRITE8nPz+eLL77ghRdeKLCiwcHBgY8+\n+ogTJ07w2WefsWrVKiIjIwH4/PPPAYiPjyc+Pp5mzZrxf//3fyxcuJDly5fz448/0rJlS954440C\n/UZGRvLll1+yb98+y7U9e/bw9ddfExkZyY4dO9i/fz9wY5VFSEgIR48e5Z///Cepqal88MEHpRrf\nxIkTMRqNHD16lA8++ID169cXKL91pceYMWOYO3cu8fHx7N27l9atWwPwzTffEBYWxt/+9jdiYmJw\nc3MrcjxfffUV+/bt4+LFiwwdOpTx48fz448/8sQTT3D48GFL3dLOz8329u/fz6FDhzhw4AAnTpxg\nyZIlBbbMSNlTAkJEREREROQeuLkK4l//+hcNGjSgZs2aBcoDAgLw9PQEwMvLi6CgIKKiogrUuTVh\nsXr1akJCQqhXrx5WVla8+eabxMbGFviVPyQkhCpVqmBnZ2e59uabb+Lo6IibmxutWrUiNjYWgLp1\n69K2bVtsbGxwcnJi6NChHDx4sMRx5efn849//IMxY8Zgb2+Pp6dnodUdt8Zta2tLQkICV69epXLl\nyvj4+ACwbds2+vXrh8lkwtbWlgkTJnDkyJFC46lcuTJ2dnbs3bsXT09PunXrhrW1NUOHDsXZ2fmO\n5+dmezY2NmRkZJCQkIDZbKZ+/foF2pOypwSEiIiIiIjIPdC7d2+2bdvGxo0bCQ4OLlQeHR1Nnz59\n8PX1pWHDhqxevZqLF4s/RDMpKYmpU6diMpkwmUz4+PhgMBg4c+aMpU6tWrUK3XfrQ7XRaCQjIwOA\n8+fP88Ybb+Dn50fDhg0JCQm5bf83Xbhwgby8vAJ9ubu7F1t/6dKl7NmzB39/f4KDgy3bSdLS0goc\nxlmxYkWqVq1KampqkeNJS0vD1dW1QNu3fr/T+WndujWvvPIKkyZNonHjxowbN84yN3J/KAEhIiIi\nIiJyD7i5uVG7dm327dtHt27dCpWHhITQtWtXjhw5wk8//cSAAQMsKweKOqzSzc2NOXPmEBsbS2xs\nLHFxcfz888/4+flZ6pT2kEuAsLAwrKys2LdvHz/99BMLFiwo1aGX1apVw8bGhpSU/70K/NZVBr/n\n6+vLihUrOHbsGF26dGHYsGEAuLi4FLjv2rVrpKenF0gS3DqeGjVqFOrn1hhcXV3veH5eeeUV/vGP\nf/DPf/6TkydPsnjx4hLHL/eOEhAiIiIiIiL3SEREBBs3bsRoNBYqy8jIoEqVKtja2hITE8O2bdss\nZU5OTlhZWfHLL79Yrg0YMIAFCxZYDkq8fPkyO3fu/MOxXb16lYoVK+Lo6EhqamqpH76trKzo1q0b\nERERZGZmkpCQUODAzVvl5OSwdetWrly5grW1NY6Ojpa3T/To0YMNGzYQFxdHVlYWYWFhNGvWrNhX\nlD799NP8/PPPfP311+Tl5bFs2TLOnTtnKR84cOAdzc8PP/xATEwMubm52NvbY29v/9C88vRRoddw\nioiIiIjIQymvstONV2WWYfulceuv7HXq1Cm2bNasWcyYMYPJkycTEBBAUFAQly5dAm5slRg5ciQ9\ne/YkLy+P1atX07VrV65du8Ybb7xBcnIylSpV4qmnnqJ79+6F2i6qv997++23eeutt2jYsCF169al\nd+/eLF26tFT3vv/++4SGhtKsWTPq1atH3759+fbbb4u8d8uWLUyePJn8/Hzq1avHwoULAWjbti1j\nxoxh6NChXLp0iebNm7No0aJi+3dycuKTTz5h8uTJvP322/Tu3ZsWLVpYyu90fq5cucL06dM5ffo0\ndnZ2tGvXjuHDhxc7Zrn3DOY/+qLZB8ytS3FERB5Vly/lEfWN/r57HAW2caVyFb2/XEQefb/f839T\nVlYWFy5cuM/RiMgfUa1atQIHo96k9SYiIiIiIiIiUuaUgBARERERERGRMqcEhIiIiIiIiIiUOSUg\nRERERERERKTMKQEhIiIiIiIiImVOCQgRERERERERKXNKQIiIiIiIiIhImVMCQkRERERERETKnBIQ\nIiIiIiIiDzB3d3d+/fXXco1h48aN9OrVq9z6X7BgAWPHjr2rNpKSknB3dyc/P79U9UNDQwkPDwfg\n0KFDtGvX7q76FyUgRERERERE7oq/vz+NGzcmMzPTcm3dunUEBwffk/YNBsNdtxEcHMz69evLJI47\nfbD/I0JCQpg7d+5dt/NH57Jly5bs37//rvt/3CkBISIiIiIichcMBgP5+fksW7as0PV7wWw235N2\nyorZbMZgMNw2zry8vPsYkTyolIAQERERERG5S8OHD+eTTz7hypUrRZYnJibSr18/TCYT7dq1Y8eO\nHZay9PR0Bg0ahJeXF927d2fu3LnFbnfIzs7m3XffpWXLljRt2pQJEyaQlZVlKf+///s/OnfujJeX\nF61bt2b//v3MmTOHQ4cOMWnSJDw9PZkyZUqpYnr55ZctMd1uC0jv3r0BaNiwIZ6enkRHR7Nx40Z6\n9uzJ9OnT8fHxISIiArPZzLx58/D396dJkyaMGjXKMl83V1GsWbMGPz8//Pz8WLJkiaWPiIgIQkJC\nLN8PHTpEjx498Pb2pmXLlmzatAmAPXv20KVLF7y8vGjZsiURERHFxv17x48fp2vXrnh5eTF8+PAC\n8xoVFUXz5s0t3z/++GP8/Pzw9PSkXbt2HDhwALiRjFm4cCGtW7emUaNGDB8+nP/+97+W+4YNG0bT\npk3x9vYmODiYhIQES9mePXvo0KEDnp6eNG/enE8++cRStmvXLjp37oy3tzc9e/bkp59+KjGWB5ES\nECIiIiIiInfJ19eXwMBAFi9eXKgsMzOTfv368cILL3D8+HEWLVrExIkTSUxMBGDixIk4Ojryww8/\n8OGHH7Jp06ZiV0/MnDmTX375hd27d3PgwAHOnDnDhx9+CEBMTAyjRo1i6tSpnDhxgs8//xx3d3fG\njRtHy5YtmTlzJvHx8bz33nulisloNHL06FE++OCD227f+PzzzwGIj48nPj6eZs2aWeKpW7cux44d\nY+TIkWzYsIHNmzezZcsWoqKiyMjIYNKkSQXaioqK4sCBA6xZs4ZFixbxzTffWMpuzklSUhIDBw5k\n8ODB/Pjjj0RGRmIymQBwcHDgo48+4sSJE3z22WesWrWKyMjIEv/75eTkMHjwYPr06UNsbCzdu3fn\nq6++KlDnZv8nT55k5cqVfP3118THx7N27Vpq164NwPLly4mMjOTzzz8nOjqaKlWqFBhjx44d+fbb\nb/nhhx/w8fHhzTfftJSNGTOGuXPnEh8fz969e2ndujVwIzEyevRowsPDiY2NZcCAAbzyyivk5OTc\nNpYHkRIQIiIiIiIi98Do0aNZuXIlFy9eLHB9165d1KlThz59+mAwGDCZTDz77LPs2LGD/Px8/vGP\nfzB69Gjs7Oxo0KABffr0KbaPtWvXMn36dCpXrkzFihUZMWIE27dvB2D9+vX07duXNm3aAODi4kK9\nevWKbKc0MY0ZMwZ7e3s8PT1vG9NNv9+CUbNmTV5++WWsrKyws7Nj69atvPbaa7i7u2M0Ghk/fjxf\nfPFFgbMj3n77bezt7fHy8uKll16yjO1W27Zt46mnniIoKAhra2v+9Kc/4e3tDUBAQACenp4AeHl5\nERQURFRUVImxR0dHk5uby+DBg7G2tua5556jcePGRda1trYmJyeHEydOkJubi5ubG3Xq1AFg9erV\njBs3DhcXF2xtbQkNDeXLL7+0jPGll17CaDRayuLi4rh69SoAtra2JCQkcPXqVSpXroyPjw8Aa9as\nYeDAgTRu3BiDwUBwcDAVKlQgOjr6trE8iGzKOwAREREREZFHgaenJ08//TQLFy6kQYMGluvJyclE\nR0dbfqU3m83k5eURHBzMhQsXyM3NpVatWpb6rq6uRbZ/4cIFMjMz6datm+Vafn6+5cE/JSWFp59+\nulSx3mlM7u7uHDp0qJQzUfQ40tLScHd3L9Bmbm4u586dA26sMLi1Tzc3N06cOFGo3ZSUFJ544oki\n+4yJiWHWrFnEx8eTk5NDdnY23bt3LzHWM2fOFOj7ZnxFqVu3LjNmzCAiIoKEhATat2/PtGnTqFGj\nBklJSQwZMgQrqxu/9ZvNZmxsbDh37hzOzs6EhYXx5ZdfcvHiRQwGAwaDgYsXL+Lo6MjSpUuZN28e\ns2bNomHDhkyYMAE/Pz+SkpLYvHkzf//73y1t5uTkcObMGfz9/QvFMnXqVFxcXEocc3lQAkJE5CFi\nbW3Ar8WD+Q/K/VDSAVePMmvre3OQmYiIlK133nmHrl27MmzYMMs1V1dXAgMDWbt2baH6+fn52Nra\nkpqayv/7f/8PuPGAXRQnJyeMRiN79+4t8gHT1dW12LMafr+lozQxpaSkWFZQJCcnFzPi4g/b/P11\nFxcXkpKSLN+TkpKwtbXF2dmZlJQUzGZzgT5TUlKoWbNmkeM8evRokX2++eabvPrqq6xduxZbW1um\nTZtGenp6sbHfGltqamqBa8nJydStW7fI+j169KBHjx5kZGQwduxYZs6cyfz583Fzc+ODDz4ocF7E\nTVu2bGHXrl1s3LgRNzc3Ll++jLe3t+X/2/j6+rJixQry8vJYsWIFr7/+OocPH8bV1ZWRI0cWOAPj\ndrHMmjWL+fPnlzjm8qAEhIjIQ+TKpSzWfxpb3mFIOeg7yISDo7G8wxARkRLUrVuXoKAgli9fTsOG\nDQHo1KkTs2fPZsuWLfTo0QOz2UxcXBwODg7Ur1+fbt26ERERwdy5c0lOTmbz5s1F/vpuMBj485//\nzLRp05g5cybVqlUjNTWVhIQE2rVrR79+/ejfvz+dOnWiVatWpKWlcfXqVerXr4+zs3OB5ERpY/rr\nX//K6dOn2bRpU7FL+52cnLCysuKXX37hySefLHZuevbsyaJFi+jQoQNOTk7MmTOHoKAgy2oBgHnz\n5jF37lx+++03NmzYwMKFCwu106tXLxYuXMjOnTvp1q0bly9fJiUlBZPJREZGBlWqVMHW1paYmBi2\nbdtGu3btLPcW90OGn58fNjY2rFixgr/85S9ERkZy9OhRyzkMtzp58iRnzpyhRYsW2NraYm9vb9li\nMWDAAMLCwizJiAsXLnDkyBE6d+7M1atXqVChAlWqVOHatWvMnj3bkqTJyclh586ddOrUiUqVKuHo\n6Ii1tTUA/fv3Z8iQIbRp04amTZty7do1oqKiCAwMJDU1tdhYHkQ6A0JEREREROQu/P6X/lGjRpGZ\nmWm57uDgwNq1a9m+fTvNmjWjWbNmzJo1i+zsbADef/99Ll26RLNmzRg1ahS9evWiQoUKRbY/adIk\n6taty/PPP0/Dhg3585//zKlTpwBo0qQJERERTJs2DS8vL4KDgy2rKQYPHszOnTsxmUxMnTq1VDFd\nvXqVZs2a8fbbb9O3b99ix280Ghk5ciQ9e/bEZDIRExNTZL2+ffvSu3dvXnjhBVq1aoXRaOS9994r\nUCcwMJA2bdrQr18/hg8fTtu2bQu14+bmxqpVq1iyZAkmk4kuXbpY3goxc+ZMwsPD8fLyYv78+QQF\nBd32v9VNtra2LFu2jA0bNuDj48POnTt59tlni6ybnZ3N7Nmz8fX1pVmzZly4cIEJEyYAMGTIELp0\n6UK/fv0sZ1DcnI8+ffrg5uaGn58fHTt2LLRKYsuWLQQEBNCwYUPWrFljSb74+voSHh7O5MmTMZlM\ntG3b1vLWj9vF8iAymB+RtazFLVMSEXmUnEnO1AqIx1TfQSZqumkFhIg8+oo7/yArK4sLFy4UuFYh\n6yrW14p+7eW9kFexEtl2jmXWfnFmzZrFuXPnLG+3eBwkJSURGBjIr7/+WmBFhDycqlWrhp2dXaHr\n2oIhIiIiIiIPJetrV6i8t/AZBvfK5Y5/hvuQgEhMTCQnJ4eGDRsSExPDunXr+OCDD8q83wfNI/Lb\nuNyGEhAiIiIiIiLlKCMjgzfeeIOzZ8/i7OzM8OHD6dy5c3mHdd8Vtz1CHh1KQIiIiIiIiJSjxo0b\nc+DAgfIOo1y5u7tz+vTp8g5Dypg214iIiIiIiIhImbuvKyCOHj3KypUrMZvNdOjQgZ49exYoj4uL\nY+7cuZZ32rZs2ZLevXvfzxBFRERERETKTUREBP/5z39YsGBBmffl7u7OgQMHeOKJJ+743uTkZDp2\n7MiJEye0dUJK7b4lIPLz81m+fDlTp06latWqTJgwgRYtWuDm5lagXsOGDRk3btz9CktEREREROSB\ncr8e6O+mHzc3N+Lj4+9hNPI4uG9bMBITE6lVqxbOzs7Y2NjQunVrDh8+XKieTj4VEREREREpe3/0\n2SsvL+8eRyKPi/u2AuLixYtUq1bN8t3JyYnExMRC9X7++WfGjBmDk5MTAwcOxN3d/X6FKCIiIiIi\nD5G8ipVuvCqzDNsvjY8//pi1a9dy/vx53NzcGDt2LF27dgVg48aNrFu3jmbNmrF+/XqqVKnCzJkz\n6dChAwCnT58mNDSU48eP06xZM5588sli+4mKiiIkJITBgwezZMkSbGxsmDVrFra2tkybNo309HSG\nDRtGSEgIcGML/NSpU0lMTMRoNNKtWzemT5+OjU3hx8A9e/Ywd+5cfv31VypXrkzfvn15++23AUhK\nSiIgIIC//vWvREREUKdOHebNm0dAQAC//fYbVlZWbNiwgcWLF5Oamkr16tUZPnw4AwYMuKP5lkff\nA/UWjCeffJJFixZhZ2dHTEwM4eHhzJ8/v1C92NhYYmNjLd9ffPFFKlUq3V8OIiIPs3M22eUdgpQT\naxtr/VsnIo+NjRs3Wj6bTCZMJlOR9bLtHMHO8X6FVay6deuybds2nJ2d2bFjByEhIXz77bc4OzsD\nNxIBL730EsePH2fVqlWMHj2aI0eOADBixAhatGjBunXriI6O5i9/+QtdunQptq9z586RnZ1NdHQ0\nGzZsYMyYMbRr147IyEhOnz5Nt27d6NWrF+7u7lhbWzNjxgyaNGlCSkoKAwYM4NNPP2Xw4MGF2nVw\ncOCjjz7C09OTEydO0K9fP3x8fAq8DvTgwYPs378fKysrzp07V2ALh7OzM6tWraJ27dp899139O/f\nnyZNmuDj43OvplkeAfctAeHk5MT58+ct3y9evIiTk1OBOvb29pbPTZs2ZdmyZVy9ehVHx4J/qRT1\nl9CVK1fKIGoRkQdLXq6WPD6u8nLz9G+diDwWKlWqxIsvvljeYdyR5557zvL5+eefZ8GCBcTExFge\n3t3c3Ojbty8Affr0YeLEiZw/f56srCyOHTvGhg0bsLW1xd/fn2eeeea2fdna2jJy5EgMBgM9evRg\n7NixDBkyBKPRiIeHBx4eHsTFxeHu7k6jRo0s97m5udG/f38OHjxYZAIiICDA8tnLy4ugoCCioqIs\nYzAYDIwePRqj0VhkXB07drR89vf3p127dhw6dEgJCCngviUg6tevz5kzZzh37hxVq1blwIEDvPXW\nWwXq/Pe//+VPf/oTgGV7xu+TDyIiIiIiIg+STZs2sXTpUpKSkgC4du0a6enplvIaNWpYPt98gM/I\nyODChQtUqVKlwEO9m5sbqampxfZVtWpVy8qDmz/gVq9e3VJub29PRkYGAKdOnWLGjBkcO3aM69ev\nk5ubi6+vb5HtRkdHM3v2bOLj48nJySE7O5vu3bsXqFOrVq1i49q7dy8ffvghp06dwmw2c/36dRo2\nbFhsfXk83bcEhJWVFYMHD+b999/HbDbTsWNH3N3d2bVrFwaDgU6dOnHw4EF27dqFtbU1FSpUYNSo\nUfcrPBERERERkTuWnJzMuHHj2LhxI82bNwegc+fOpTrg0cXFhUuXLpGZmWlJQqSkpNyzt2BMmDCB\nRo0asWTJEoxGI8uWLeOrr74qsm5ISAivvvoqa9euLXCmxK2Kiys7O5vXXnuNBQsW0KVLF8uzn14w\nIL93X8+AaNKkSaEzHW5dYtS1a1fLYS0iIiIiIiIPumvXrmEwGHByciI/P59NmzaV+vWUbm5u+Pr6\n8sEHHzBu3DhiYmLYtWtXgXMX7kZGRgaOjo4YjUYSExP57LPPCqyW+H3dKlWqYGtrS0xMDNu2baNd\nu3aW8qKSCTev5eTkkJOTg5OTE1ZWVuzdu5f9+/fj5eV1T8Yhj4779hpOERERERGRR02DBg0YNmwY\nzz//PE2aNCE+Pp4WLVrc9p5bVxIsXLiQ6OhofHx8mDdvHn369Lmj/n+/KuHW71OmTGHr1q14enoy\nbtw4evToUWzdWbNmER4ejpeXF/PnzycoKOi2/dx6zcHBgXfffZdhw4ZhMpnYvn37bQ/SlMeXwfyI\nrItJSUkp7xBERMrcmeRM1n8aW3JFeeT0HWSiplvRB3+JiDxKXF1di7yelZXFhQsX7nM0IvJHVKtW\nDTs7u0LXtQJCRERERERERMqcEhAiIiIiIiIiUuaUgBARERERERGRMqcEhIiIiIiIiIiUOSUgRERE\nRERERKTMKQEhIiIiIiIiImVOCQgRERERERERKXNKQIiIiIiIiIhImbMp7wBERKT0Ktha0TPYo7zD\nKDcGgwGz2VzeYZSLCrb6zUBE5GE2fvx4atWqxVtvvXXP2gwODiY4OJi+ffveszZLIzQ0FFdXV8aM\nGXNf+30QLFiwgNOnTzN37tzyDuWhpASEiMhD5PLZDD4cubu8w5ByEPpRJ5xq2JV3GCIiUgR/f3/O\nnz+Pra0t1tbWNGjQgN69ezNgwAAMBgMAYWFh5Ryl3AshISF3df/jnLwBbcEQERERERG5KwaDgc8+\n+4wTJ07w3XffMWLECBYtWsQ777xzT9ovavXf47oiEEoee15e3n2K5P73m5+fX+Z9lCUlIERERERE\nRO7SzYdiR0dHnnnmGRYvXsymTZtISEgAbvzyHR4eDsClS5cYNGgQvr6+mEwmBg0aRGpqqqWt4OBg\n5syZQ8+ePalfvz6//fZbkdcATp8+Tc+ePfH09KR///6kp6db2jly5Ag9evTA29ubzp07ExUVZSnb\nsGED7du3x9PTk9atW7N69eo/PPY1a9bQunVrfHx8ePXVVzl79iwAH3zwAVOmTAEgNzeXBg0aMHPm\nTACuX79OvXr1uHTpUomxFjf2WwUEBLBo0SI6deqEh4cH+fn5pKWlMXToUHx9fWnVqhUrVqyw1D96\n9CjPPvssXl5eNG3alHfffReApKQk3N3dWbNmDX5+fvj5+bFkyRLLfREREZZVEDfrrl+/npYtW/LS\nSy/B/9fe/cf1fO//H7+9e/deJYZCFOYMRe9aI1usOdSYMYSyYXPMMAezyWfm5xlz5tdMdtgM28zn\nzBjm1xm2D4m2kR9bYWlqfs2UkhJSUur7h6/XkYr8SNnu18uly6X36/l8PZ+P5+ttXfZ6vJ7P5wsY\nPHgwzZo1w9PTk5CQEH799VfjOq1Zs4aPPvoIDw8P+vfvD8Cvv/5KSEgInp6ePPXUU2zatMnoLzQ0\nlLFjx9K3b1/c3d1ZuHAhjz76aKEkzMaNG2nfvv1tfXf3mhIQIiIiIiIid9mjjz5KnTp12LVrV5Gy\n/Px8evXqxZ49e9izZw8ODg5MmDChUJ3Vq1fz3nvvkZCQgJubW4nH1q5dy/vvv8/+/fvJyckxbpZP\nnjxJv379CA0NJS4ujn/84x8MGjSI9PR0AGrWrMnnn39OfHw8YWFhTJo0idjY2Fse5w8//MD06dNZ\nuHAhMTExuLm5MWTIEOBKUuBqImHv3r3UqlWLnTt3AvDjjz/SsGFDqlatetNYrx973bp1i41l3bp1\nLFmyhLi4OEwmEy+99BJeXl7ExMSwfPlyPv30U7777jsA3nrrLQYOHMjBgwfZsWMHXbp0KdRWVFQU\n27dv54svvmDevHn88MMPRtnVZTVX7dy5k8jISL744gsAAgMD2bFjB/v27cPLy4thw4YB8MILL9C9\ne3eGDBlCfHw8n332GXl5ebz00ksEBASwf/9+Jk+ezPDhwzly5EihcY0YMYKEhAT69++Pk5MTkZGR\nha7Nc889dwvfWvlRAkJERERERKQMuLi4kJGRUeR49erV6dixI3Z2dlSqVIlXX33VuDG/6rnnnqNR\no0bY2Nhga2tb4rHnn3+eBg0aYGdnR5cuXYiLiwNgzZo1PPXUU7Rt2xaA1q1b4+PjQ0REBHDlJrle\nvXrAlT0s2rRpw+7du295jGvXrqV3795YrVYsFgtjx47lp59+IjExEV9fX44ePUpGRga7du2iV69e\nJCcnk52dza5du2jZsmWpYr1+7GazudhYBgwYQO3atbGzs2Pv3r2kp6fz+uuvYzabqVevHr1792bd\nunUAWCwWjh07Rnp6Og4ODjRr1qxQWyNHjsTe3p4mTZrw/PPPG+ddz2Qy8cYbb+Dg4ICd3ZW9mp5/\n/nkcHBywWCxGUiUzM7PY86Ojo8nOzmbYsGHY2tri7+9PuwAeVdMAACAASURBVHbtCvX39NNP4+vr\nC4CdnR0hISGsWrUKgDNnzrBt2za6det2w++potAmlCIiIiIiImUgOTmZatWqFTmenZ3NxIkTiYyM\n5Ny5cxQUFHDhwgUKCgqMp+uurq5FzivuWK1atYzfHRwcuHDhAnBlecD69esJD7+yeXVBQQF5eXn4\n+/sDEBERwezZszly5AgFBQVcvHiRpk2b3vIYU1JS8Pb2Nj5XqlSJ6tWrc/LkSdzc3PDx8SEqKoqd\nO3fy+uuvExcXx+7du4mKimLAgAE3jPXJJ5+84divV6dOHeP3EydOkJycjNVqNdrMz8/Hz88PuLI8\nZObMmbRp04aHHnqIESNG0K5dO+BKUuHattzc3Dh48GCp+s3Pz2f69Ols2LCB9PR0TCYTJpOJ9PR0\nKleuXOTc5OTkImOrW7duoSU515f36NGDgIAAsrOz+frrr2nZsiU1a9a86fWpCJSAEBERERERucv2\n7t1LSkqKccN7rfnz53P06FE2btyIs7MzBw4c4JlnnimUgLh+mn9Jx0ri6upKcHBwsa+LvHTpEq+8\n8gpz586lQ4cO2NjYMGDAgNva2NLFxYXExETjc1ZWFmfOnDFuyv38/Ni+fTtxcXE8+uij+Pn5sW3b\nNvbt22dcmxvFelVpxn5tHVdXV+rXr8/3339fbN0GDRrw4YcfArBhwwYGDx5sLEEpKCggKSmJhg0b\nApCUlETt2rVL1e+aNWvYvHkzK1aswM3NjXPnzuHp6Wlc2+vHUbt2bZKSkgodS0xMNPou6RxfX182\nbtzI6tWr6devX4mxVTRagiEiIiIiInKXZGZmsnnzZoYNG0ZwcDDu7u5F6mRlZWFvb0/lypU5c+YM\nYWFhdz2OHj16EB4eTmRkJPn5+Vy8eJGoqCiSk5PJzc0lNzcXJycnbGxsiIiIKLSnAFx5Cn/9spDi\nBAUFsXz5cuLi4sjJyWH69Ok0b97c2KOiVatWfPXVVzRu3BhbW1ueeOIJli1bRv369XFycrpprLer\nWbNmVK5cmXnz5nHx4kUuX75MfHw8+/btA67sm3B1j4kqVaoAYGPz39vj999/n+zsbOLj41m+fDld\nu3Yttp/rkzaZmZk88MADVK1alaysLKZNm1YogVCzZs1Cm2g2a9YMBwcH5s2bR15eHjt27CA8PJyg\noKAbji84OJiPPvqI+Ph4OnbsaByPiooqcY+MikAJCBERERERkTv00ksv0aRJEx5//HE++OADBg8e\nXGJiYeDAgWRnZ+Pt7U1QUBCBgYGFyks7++FGswJcXV1ZtGgRc+fOxdvbGz8/P+bPn09+fj6Ojo5M\nnjyZwYMHY7VaWbduHR06dDDOTUxMpEqVKjRp0qTYtq/tt3Xr1owaNYpBgwbh6+vL8ePHmTdvnlHe\nokULcnJyjP0e3N3dsbe3Nz7fLNabjbOka2FjY8P//u//cuDAAVq1asUjjzzCqFGjOH/+PABbt24l\nICAADw8P3n77bT766CNjDwe4kjh58skn6d27N0OGDKF169al6rdnz564ubnh6+tLYGAgLVq0KFTe\nq1cv4uPjsVqtDBw4EIvFwuLFi4mIiMDb25sJEyYwZ84cHn744RuO/ZlnnuHEiRN07NgRe3t743hS\nUhKPPfbYTa9XeTEV/EFeIHv9tBURkT+iY7HpzH4tvLzDkHIQOqcdDbycyjsMEZEyV9Ja/5ycHNLS\n0u5xNH9Oq1evJiEhgTFjxpR3KPfciRMnaNWqFb/99luhGREVkb+/PzNmzCi0V8abb75J586d+etf\n/1qOkYGzs3OhhM5V2gNCREREREREDD169CjvEMrV/fCMfsOGDZhMpkLJB+CG+2hUBEpAiIiIiIiI\niPx/t7LZZ3kICQnh0KFDzJkzp7xDuWVKQIiIiIiIiIhwZfPN33//vbzDuKGvvvqqvEO4bRV7UYuI\niIiIiIiI/CEoASEiIiIiIlJBhIWFMXz48LvSVlRUVJG3MEjprVmzhhdeeKHU9WfMmIG3tzfNmze/\nq3HMnTuXN9988662WV60BENERERERKQCud09COrWrcv27dt56KGH7rgtge7du9O9e/dS1U1MTGTh\nwoXs2bMHJ6fbf2tVVFQUw4cP58cffzSO3a2EVEWgBISIiIiIiNyXHsi/hDk3p8zav2yx45LNA2XW\n/t1WlsmGy5cvYzaby6z9+11iYiJOTk53lHyAK2/g+CMnjbQEQ0RERERE7kvm3BwePLyrzH5Km9z4\n8MMP8ff3x8PDg8DAQL799lujbMWKFXTv3p1//vOfWK1WnnjiCbZu3WqU//7774SEhNCkSRP69OlD\nenr6Dfv64osv8Pf3x8vLi5dffplTp04BEBwcTEFBAe3atcPDw4Ovv/4auHJDu2DBAnx8fPD19WX5\n8uVGW5cuXWLy5Mk8/vjjNGvWjLFjx5KTc2XMV5dvzJs3j2bNmjFy5MgS42nbtq0x9tjYWAAOHTpE\nSEgInp6ePPXUU2zatMk4JzQ0lHHjxtG3b1/c3d3p3r07qampTJw4EavVStu2bTlw4IBRv2XLlsyf\nP5927drh7u7OqFGjOH36NH379sXDw4PevXtz7tw5o/6mTZsIDAzEarXSs2dPDh06VGxbnp6eDB06\nlEuXLhU7tqvf3VV169bl888/58knn8RqtTJhwgQAvv/+e3r37k1KSgoeHh7Gtfrpp58ICgrC09OT\np59+mqioKKOtjIwMRo4cia+vL1arlYEDB5KdnU3fvn1JSUnB3d0dDw8PTp06VWRZzo3GV7duXX77\n7bdC13rmzJkApKen069fPzw9PbFarQQHBxc77rKkBISIiIiIiMgdaNCgAWvXriU+Pp7Q0FCGDx9O\namqqUb53714aN25MbGwsf//733njjTeMsmHDhuHj48PPP//M66+/zsqVK0vs54cffmD69OksXLiQ\nmJgY3NzcGDJkCACrVq0CYMuWLcTHx9OlSxcAUlNTuXDhAtHR0cycOZPx48cbN+tTpkzh2LFjhIeH\ns337dpKTk5k9e7bRX2pqKmfPnmX37t28++67ReL5+uuvmT17NnPnziU+Pp7PPvuM6tWrk5eXR79+\n/QgICGD//v1MnjyZ4cOHc+TIEePc9evXM3r0aGJjY7FYLHTt2hUfHx9iY2Pp1KkTkyZNKtTXxo0b\nWbFiBd9//z2bNm2ib9++jB07lp9//pnLly/z6aefAnD48GGGDRvG5MmT2b9/P4GBgfTr14+8vLxC\nfS9btoyoqCji4uJYsWJFidf8+tkIW7Zs4dtvv2XTpk385z//ITIyktatW7NkyRJcXFyIj48nLCyM\n5ORk+vXrR2hoKHFxcfzjH/9g0KBBRoJp+PDhXLx4kW3btrF//34GDRqEg4OD0U5CQgLx8fHUqlWr\nUBw3G9+NZk8sWLAAV1dXYmNj2b9/P2PGjCmxbllRAkJEREREROQOPPvss9SsWROALl268Je//IWY\nmBij3M3NjV69emEymejZsycpKSmcPn2axMRE9u/fzxtvvIHFYsHPz4/27duX2M/atWvp3bs3VqsV\ni8XC2LFj+emnn0hMTDTqFBQUFDrHYrEwYsQIzGYzgYGBODo6cvjwYQCWLl3KpEmTePDBB6lUqRLD\nhg1j3bp1xrlms9mIzc7Orkg8X375JUOHDsXb2xuAhx56CDc3N6Kjo8nOzmbYsGHY2tri7+9Pu3bt\nCrX9zDPP4OXlxQMPPEDHjh2xt7enR48emEwmunbtSlxcXKG+Xn75ZZycnHBxcTFmbHh6ehrnX50x\n8fXXX9OuXTuefPJJzGYzf//737l48WKhPRUGDhxIzZo1qVq1Ku3bty802+JmXn31VSpXroybmxtP\nPPFEieeuXr2ap556irZt2wLQunVrfHx8iIiI4NSpU2zbto0ZM2ZQpUoVzGYzfn5+per/ZuO7/vu/\nlsVi4dSpUxw/fhyz2cxjjz1W6nHfLdoDQkRERERE5A6sXLmSjz/+mBMnTgCQlZXFmTNnjPKrT7EB\nHBwcALhw4QJpaWlUrVrVOAZXkhUnT54stp+UlBTjZh+gUqVKVK9enZMnT+Lm5lbsOdWrV8fG5r/P\nnR0cHIy+s7Oz6dixo1GWn59f6AbWyckJi8VS4riTkpIKbXh5VXJyMq6uroWO1a1bt9C4riZsAOzt\n7alRo0ahzxcuXCh0/vXl159/tX5KSgp169Y1ykwmE66uriQnJxfbloODAykpKSWO8XrX9nv1Whbn\nxIkTrF+/nvDwcOBKYiAvLw9/f3+SkpKoXr06VapUKXW/V5VmfCUZMmQIs2bNok+fPphMJvr06cOw\nYcNuOYY7oQSEiIiIiIjIbUpMTGT06NGsWLHCeOXl008/fcMn0Ve5uLhw9uxZsrOzjSREUlJSidPo\nXVxcCs12uJroqFOnzi3H7eTkhIODAxEREbi4uBRb52abIbq6uhbab+Cq2rVrk5SUVOhYYmIiDRs2\nvOU4b9XVZRDXSkpKuq1rdCdcXV0JDg4udunKqVOnyMjI4Pz580WSEDe75jcbn4ODA9nZ2UZZamqq\nkQxydHTkrbfe4q233iIhIYGePXvy6KOP4u/vf1tjvB1agiEiIiIiInKbsrKyMJlMODk5kZ+fz/Ll\ny4vcIJbEzc2NRx55hFmzZpGbm8vu3bvZvHlzifWDgoJYvnw5cXFx5OTkMH36dJo3b27MfqhVq1ax\nCYHiXH0CPnHiRNLS0gA4efIkkZGRpTofoHfv3syfP5+ff/4ZgGPHjpGYmEizZs1wcHBg3rx55OXl\nsWPHDsLDwwkKCip126VJ4BSnS5cubNmyhe3bt5OXl8f8+fOxt7fH19f3ttq7XT169CA8PJzIyEjy\n8/O5ePEiUVFRJCcnU6tWLQICAhg3bhxnz54lLy+PXbt2AVdmZ5w5c4bz588X2+7Nxufl5cWaNWvI\nz89n69athTa+DA8P59ixY8CVZIStrW2h2TH3ghIQIiIiIiIit6lx48YMHjyYLl268OijjxIfH3/T\ntfXXPuX+4IMPiI6OxsvLi/fff5+ePXuWeF7r1q0ZNWoUgwYNwtfXl+PHjzNv3jyjfOTIkYwYMQKr\n1cr69etv2ve4ceNo0KABXbp0oWnTpvTp06fQRpE307lzZ1577TWGDRuGh4cHAwcOJCMjA4vFwuLF\ni4mIiMDb25sJEyYwZ84cHn744SIxlOTaOtfXv9H5DRs2ZO7cuUyYMIFHHnmE8PBwFi9ejK2tban7\nLk1MN+Pq6sqiRYuYO3cu3t7e+Pn5MX/+fPLz8wGYM2cOZrOZNm3a4OPjwyeffAJAo0aN6NatG61a\ntcJqtRpvOSnt+N5++202b96Mp6cna9euLbTE5ujRo/Tq1Qt3d3e6detGv379aNWq1W1fj9thKrjd\n1FIFc/0UHxGRP6JjsenMfi28vMOQchA6px0NvO7s3eIiIveD6/cOuConJ8d4Un+VQ855Hjy8q8xi\nOdfQj2y7W1+nL/Jn5+zsXOzGpdoDQkRERERE7kuXLXaca1i6twfcbvsicvcoASEiIiIiIvelSzYP\ngN0D5R2GiJSS9oAQERERERERkTKnBISIiIiIiIiIlDklIERERERERO6y0NBQZs6cye7du2nTpk15\nhyNSISgBISIiIiIiUkYef/xxIiMjyzsMkQpBm1CKiNxHqrk48PrcwPIOo9yYTCb+IG+PvmXVajmU\ndwgiIiIid0QJCBGR+4hDHciucby8w5By4GBpCnnlHYWIiJQkNjaWN954g2PHjhEQEIDJZAIgKiqK\n4cOH8+OPPwLw4YcfsmjRIjIzM6lduzZTp07F39+fgoICPvzwQ5YtW8a5c+d48sknmTZtGtWqVQNg\n8ODB7N69m5ycHDw9PZk6dSru7u4AbNmyhXfeeYekpCSqVKnCoEGDGDx4MACbN29m5syZnDhxAnd3\nd6ZNm0bTpk1vGItIWdESDBERERERkTuQm5vLgAED6NmzJwcOHKBz585s3LjRKL+ajDh8+DCLFy/m\n22+/JT4+nqVLl1KvXj0APv30UzZt2sTq1auJjo6matWqjB8/3mgjMDCQHTt2sG/fPry8vHj11VeN\nslGjRvHuu+8SHx9PRESEkUS4mhSZOXMmBw4c4MUXX6R///7k5ubeMBaRsqIEhIiIiIiIyB2Ijo4m\nLy+PAQMGYDabefbZZ/Hx8SlSz2w2k5uby8GDB8nLy8PNzY369esDsGTJEkaPHo2LiwsWi4XQ0FA2\nbNhAfn4+AM8//zwODg5GWVxcHJmZmQBYLBYSEhLIzMzkwQcfxMvLC4AvvviCvn374uPjg8lkIiQk\nhAceeIDo6OgbxiJSVpSAEBERERERuQPJycnUqVOn0LG6desWqdegQQPefvttwsLC8PHxYdiwYZw6\ndQqAEydOMHDgQKxWK1arlYCAAGxtbUlNTSU/P99YHtG0aVNatWqFyWQiPT0dgI8//pgtW7bg5+dH\nSEgIP/30k9HmggULjDY9PT05efIkycnJxcaSkpJSxldK/uyUgBAREREREbkDLi4unDx5stCxxMTE\nYusGBQWxZs0adu/eDcCUKVMAcHNz4/PPP+fAgQMcOHCAuLg4Dh06hIuLC2vWrGHz5s2sWLGCX375\nhZ07d1JQUGBszPzII4+waNEi9u/fT4cOHfj73/8OgKurK6+99lqhNn/99VeCgoKKjWXq1Kl3/+KI\nXEMJCBERERERkTvg6+uLra0tixYtIi8vj40bN7J3794i9Q4fPsz27du5dOkSFosFe3t7bGyu3JK9\n+OKLTJ8+3UhcpKWlsWnTJgAyMzN54IEHqFq1KllZWUybNs3YVyI3N5c1a9Zw/vx5zGYzlStXxmw2\nA/DCCy/w+eefExMTA0BWVhZbtmwhKyvrhrGIlBX9CxMREREREbkDFouFTz75hOXLl+Pl5cX69evp\n1KlTkXqXLl1i2rRpPPLIIzRv3py0tDTGjh0LwMCBA+nQoQO9e/emSZMmdO3a1Ugc9OzZEzc3N3x9\nfQkMDKRFixaF2l21ahUtW7akadOmfPHFF3zwwQfAlZkRM2fOZMKECVitVlq3bs3KlStvGotIWTEV\n/EFeqJ6UlFTeIYiIlLkc22wO5f5S3mFIOWhkaYpdnkN5hyEiUuZcXV2LPZ6Tk0NaWto9jkZEboez\nszN2dnZFjmsGhIiIiIiIiIiUOSUgRERERERERKTMKQEhIiIiIiIiImVOCQgRERERERERKXNKQIiI\niIiIiIhImVMCQkRERERERETKnG15ByAiIregwIb6tg3LO4pyYzKZ+IO8PfrWFeiZgYiIiNzflIAQ\nEbmPnMk5w7Lfl5d3GFIOetd7ntq2tcs7DBEREZHbpscpIiIiIiIiIlLmlIAQEREREZH7kp3ZRCVz\nQZn92JlN5T3EP6QVK1bQvXv3u9ZeSEgIX3755V1r73aFhoYyc+bMO2pjzJgx/Otf/7pLEVU8SkCI\niIiIiMh9yUw+VS+ml9mPmfxSxdGyZUt++OGHQseuv8m+Wic6OprGjRuTnZ1dpJ0OHTqwePFi4/O6\ndesYPny48TkrK4vGjRvTt2/fG8awYsUK6tevj4eHBx4eHjzxxBOMHDmSI0eOFDpn2bJltGnThiZN\nmtCsWTP+9re/kZWVVaox3ymTqfjkzokTJ6hbty75+aW79n8006dP5/XXXy/vMMqMEhAiIiIiIiJl\noLib7ObNm+Pq6sr69esLHT948CCHDh2iW7duxrHw8HACAwONzxs2bMDOzo7vv/+e06dP37DvFi1a\nEB8fz8GDB/nyyy+xt7enY8eOJCQkABAVFcWMGTP46KOPOHjwINu2baNr1653Mty7oqCgoFw3nf7T\nbnZ9jygBISIiIiIicg+FhITw1VdfFTq2atUqAgMDqVatGnDlRvj777+nbdu2Rp2VK1fyt7/9jaZN\nm7Jq1apS9WUymahfvz5Tp06lZcuWzJo1C4B9+/bRokULPD09AahatSohISFUqlSp2HaWL19O27Zt\n8fDwwN/fnyVLlhhlUVFRtGjRggULFuDj44Ovry/Ll/930+wzZ87w0ksv0aRJEzp37sxvv/1WYrzB\nwcEANG3aFA8PD6KjowkLCys0E6S4WRJHjx6lc+fONGnShAEDBnD27Fmj7KeffiIoKAhPT0+efvpp\noqKijLKQkBBmzJhBt27daNSoEcePHycjI4PQ0FB8fX2xWq0MHDgQKH7pSN26dUsczxdffIG/vz9e\nXl68/PLLpKSkGGUTJ07Ex8eHJk2a0K5dOyMxdO0yjvT0dPr164enpydWq9W4NvczJSBERERERETu\nshs9SQ8ODmbXrl2cPHnSqLtmzRp69uxp1ImJieGhhx6ievXqwJWb7qioKHr06EG3bt1YuXLlLcfU\nqVMndu/eDVyZibFt2zZmzZrFnj17uHTp0g3PrVmzJp9//jnx8fGEhYUxadIkYmNjjfLU1FQuXLhA\ndHQ0M2fOZPz48Zw7dw6AcePG4eDgwN69e5k1a9YN92tYvXo1APHx8cTHx9O8eXOg6GyS6z+vWrWK\n2bNnExMTg42NDRMmTADg5MmT9OvXj9DQUOLi4vjHP/7BoEGDSE9PL9Tne++9R0JCAm5ubgwfPpyc\nnBy2bdvG/v37GTRoUIn9lrSU5IcffmD69OksXLiQmJgY3NzcGDp0KACRkZHs2bOH7du3c/DgQebP\nn298z9dasGABrq6uxMbGsn//fsaMGVPidbtfKAEhIiIiIiJyhwYMGIDVajV+xo8fX2JdV1dXWrZs\nacxi+P7778nNzeWpp54y6mzZsqXQ8ouvvvoKT09PGjVqRFBQEL/++isHDhy4pRhdXFzIyMgA4PHH\nH+eTTz4hNjaWl156CW9vb95+++0SEyeBgYHUq1cPAD8/P9q0aWMkMwAsFgsjRozAbDYTGBiIo6Mj\nhw8fJj8/n2+++YZRo0Zhb2+Ph4dHoURLSW51KURwcDCNGzfGwcGBN998kw0bNhiJnaeeesqYSdK6\ndWt8fHyIiIgwzn3uuedo1KgRNjY2pKenExkZyYwZM6hSpQpmsxk/P79bjnPt2rX07t0bq9WKxWJh\n7NixREdHk5iYiK2tLZmZmSQkJFBQUECjRo2oWbNmkTYsFgunTp3i+PHjmM1mHnvssVu6JhWREhAi\nIiIiIiJ3aNGiRRw4cMD4mTp16g3r9+zZ00hArFq1iqCgIMxms1EeERFRKCGxatUqY/p/7dq18fPz\nu+VZEMnJycYSD4C2bdvy2WefceDAARYtWsSKFStYunRpsedGRETQpUsXrFYrnp6ebN26tdAsgurV\nq2Nj89/bSwcHBy5cuEBaWhqXL1+mTp06RlndunVvKe7ScHV1LdR+bm4u6enpnDhxgvXr1xuJIU9P\nT/bs2UNqamqx5yYlJVGtWjWqVKlyR/GkpKTg5uZmfK5UqRLVqlXj5MmT+Pv7079/f8aPH4+Pjw+j\nR4/mwoULRdoYMmQIDz30EH369MHf358PP/zwjmKqCJSAEBERERERuUO3+sS+U6dOnDx5kh07dvDN\nN98UmhWQmprKqVOn8PLyAuDHH3/k6NGjfPDBBzRr1oxmzZqxd+9e1q5de0tvi/jmm294/PHHiy3z\n9/fH39+f+Pj4ImWXLl3ilVdeYejQofz888/ExcUREBBQqjE7OztjNptJSkoyjiUmJpZYv7glDZUq\nVSr01pBr91K46tr2T5w4gcViwcnJCVdXV4KDg43EUFxcHAkJCQwZMqTYPl1dXcnIyOD8+fM3jePU\nqVMljsPFxaXQOLOysjhz5oyRiOnfvz/ffPMN27Zt4/Dhw3z00UdF2nB0dOStt95ix44dfPbZZyxc\nuJDt27eX2Of9QAkIERERERG5L13GhrP2TmX2c7kMb5ccHBzo1KkTI0eOpF69enh7extlERERBAQE\nGJ9XrFhBmzZtiIyMZPPmzWzevJktW7aQnZ1daCnBta4mB/Lz8/n999+ZMGECO3fu5H/+538A2LRp\nE+vWrTM2a4yJiWHnzp34+voWaSs3N5fc3FycnJywsbEhIiKCyMjIUo3TxsaGTp06ERYWRnZ2NgkJ\nCTecuXG1j2PHjhnHPD092bVrF4mJiZw7d67YmQCrV6/m0KFDZGdn89577/Hss89iMpno0aMH4eHh\nREZGkp+fz8WLF4mKiiI5ObnY/mvVqkVAQADjxo3j7Nmz5OXlsWvXLiOOhIQE4uLiyMnJISwsrMQ9\nIIKCgli+fLlRd/r06fj6+uLm5sa+ffuIiYkhLy8Pe3t77O3tC80euSo8PNy4Do6Ojtja2hZb735y\nf0cvIiIiIiJ/WjmXC8i6bCqzn5zLpZvVUNJN6M3q9OzZk8TExCJ7Ily7/0NOTg4bNmzg5ZdfxtnZ\nmRo1alCjRg3q1atHSEiIcTN/ffvR0dF4eHjQpEkTevbsyYULF9iwYQPu7u7AlbdeLF26lNatW9Ok\nSRNef/11hg4dSlBQUJE4HR0dmTx5MoMHD8ZqtbJu3To6dOhQ6vG+8847ZGZm0rx5c0aOHEmvXr1K\nPM/BwYHXXnuNbt26YbVaiYmJ4a9//Stdu3alffv2dOrUifbt2xfpKzg4mBEjRtC8eXNyc3OZPHky\ncGVGw6JFi5g7dy7e3t74+fkxf/58Y+ZIcd/LnDlzMJvNtGnTBh8fHz755BMAHn74YUaMGMHzzz9P\n69atb7g3ROvWrRk1ahSDBg3C19eX48ePG4mT8+fPM2rUKKxWKy1btqR69eqFZmRcdfToUXr16oW7\nuzvdunWjX79+tGrVqsQ+7wemgj/Ii06vnXIjIvJHlZyXzLLfl9+8ovzh9K73PLVta5d3GCIiZe7a\n9fjXysnJIS0t7R5Hc+9dvnyZZs2aERUVhaOjY3mHI3JbnJ2dsbOzK3JcMyBEREREREQqiIyMDEaN\nGqXkg/whKQEhIiIiIiJSQTg7O9O3b9/yDkOkTCgBISIiIiIiIiJlTgkIERERERERESlzSkCIiIiI\niIiISJlTAkJEREREREREypxteQcgIiKlZ2uyo2udEcJxMQAAEM5JREFUou/n/rMwmUz8Qd4efcts\nTUVfZSUiIiJyP1ECQkTkPpKadZZRe2aXdxhSDmY+FkqNKtXLOwwRESlHK1asYNmyZaxZs+autx0Y\nGMjUqVNp2bLlHbXTsmVL3nvvPZ588knmzp3L77//zrvvvnuXopT7nRIQIiIiIiJyX7Kzy8JsvlBm\n7V++7EhOTqWb1vPz8+P06dPY2tpSqVIl2rZty9SpU3FwcLjrMZlMprveJkBERMRdb3P48OF3vU25\nvykBISIiIiIi9yWz+QLVqq0ts/YzMroBN09AmEwm/v3vf+Pv709KSgp9+vTh/fffZ+zYsWUWm8j9\nSJtQioiIiIiI3KGrexS5uLgQEBBAfHw8AMuXL6dt27Z4eHjg7+/PkiVLjHOioqJo0aIFCxYswMfH\nB19fX5YvX26UnzlzhpdeeokmTZrQuXNnfvvtt0J9Hjp0iN69e2O1WmnTpg1ff/21URYaGsq4cePo\n27cv7u7udO/endTUVCZOnIjVaqVt27YcOHDAqN+yZUt++OEHAPLz85kzZw7+/v40adKETp06cfLk\nyWLH/dVXX+Hn54e3tzdz5swpVBYWFmbMgsjJyWH48OF4eXnh6elJ586dSUtLA+D8+fO88cYbNG/e\nnBYtWvDuu+8a1/O3337jueeew8vLi0ceeYThw4dz/vx5o48PP/wQX19fPDw8aNOmDdu3bze+jw8+\n+AB/f3+8vb0ZMmQIZ8+even3KGVLCQgREREREZG7JDExkYiICLy9vQGoWbMmn3/+OfHx8YSFhTFp\n0iRiY2ON+qmpqVy4cIHo6GhmzpzJ+PHjOXfuHADjxo3DwcGBvXv3MmvWLL788kvjvOzsbHr37k2P\nHj2IjY1l3rx5jBs3jkOHDhl11q9fz+jRo4mNjcVisdC1a1d8fHyIjY2lU6dOTJo0qdgxLFiwgP/8\n5z8sWbKEgwcPMmvWrGKXkyQkJDBu3Dg++OADoqOjOXPmDMnJyYXqXF0ysnLlSjIzM/npp584cOAA\n06dPx97eHoARI0ZgsVjYsWMHmzZt4rvvvmPp0qXAlUTC8OHD2bt3L9u2bePkyZPMmjULgMOHD7N4\n8WK+/fZb4uPjWbp0KfXq1QPg008/ZdOmTaxevZro6GiqVq3KuHHjSv9FSplQAkJEREREROQODRgw\nAKvVSnBwME888QSvvvoqcGVzx6s3xX5+frRp04bdu3cb51ksFkaMGIHZbCYwMBBHR0cOHz5Mfn4+\n33zzDaNGjcLe3h4PDw969uxpnLd582bq169Pz549MZlMWK1WOnXqVGgWxDPPPIOXlxcPPPAAHTt2\nxN7enh49emAymejatStxcXHFjmXZsmWMHj2av/zlLwA0bdqUatWqFam3YcMG2rdvz2OPPYbFYuHN\nN98scY8Ki8XCmTNnOHLkCCaTCS8vLxwdHTl9+jRbt25l0qRJ2Nvb4+TkxKBBg1i79srSmgYNGtC6\ndWtsbW2Nsp07dwJgNpvJzc3l4MGD5OXl4ebmRv369QFYsmQJo0ePxsXFBYvFQmhoKBs2bCA/P790\nX6iUiXu6B8TevXtZvHgxBQUFBAQE0K1btyJ1Fi1axN69e7Gzs2PYsGE0aNDgXoYoIiIiIiJyyxYt\nWoS/v3+R4xEREcyePZsjR45QUFDAxYsXadq0qVFevXp1bGz++1zYwcGBCxcukJaWxuXLl6lTp45R\nVrduXSN5kZiYSHR0NFarFbgyU+Dy5cuEhIQY9WvWrGn8bm9vT40aNQp9vnCh+A08k5KSeOihh246\n5pSUFFxdXQvFXr168W9sCg4OJikpiaFDh3Lu3DmCg4MZPXo0J06cIDc3l+bNmxvjKCgowM3NDYDT\np0/z1ltvsWvXLrKysrh8+bKRDGnQoAFvv/02YWFhJCQk0LZtWyZOnEitWrU4ceIEAwcONK5tQUEB\ntra2pKam4uLictOxSdm4ZwmI/Px8Pv30U9566y2qV6/O2LFjeeyxx4x/WAAxMTGkpKQwZ84cfv31\nVz7++GOmTJlyr0IUERERERG5LVf3LLjWpUuXeOWVV5g7dy4dOnTAxsaGAQMGFFv3es7OzpjNZpKS\nkmjYsCFwJelwlaurK61atTKWKtxNrq6uHDt2DHd39xvWc3FxKbTkIzs7mzNnzhRb19bWltDQUEJD\nQ0lMTOTFF1+kYcOGBAQEYGdnR2xsbLGzJ6ZPn46NjQ1bt27lwQcf5P/+7/+YMGGCUR4UFERQUBAX\nLlzgzTffZMqUKfzrX//Czc2NWbNm0aJFi9u8ClIW7tkSjEOHDlGnTh1q1qyJra0t/v7+7Nmzp1Cd\nPXv20KZNGwAaN25MVlYWGRkZ9ypEERERERGRuyY3N5fc3FycnJywsbEhIiKCyMjIUp1rY2NDp06d\nCAsLIzs7m4SEBFauXGmUt2vXjiNHjrBq1Sry8vLIzc1l3759hRICN1NSIqRPnz7MnDmTo0ePAvDL\nL78Ue1/27LPPEh4ezp49e8jNzWXmzJkltrljxw4OHjxIfn4+lSpVwtbWFhsbG2rVqkWbNm2YOHEi\nmZmZFBQU8NtvvxnLLDIzM6lUqRKVK1fm5MmTfPTRR0abhw8fZvv27Vy6dAmLxYK9vb0x4+HFF19k\n+vTpRtImLS2NTZs2lfraSNm4ZzMg0tPTcXZ2Nj47OTkV+Y+juDrp6enFrjcSEfkzqmRjz1s+r5R3\nGOXHZIJSPDX6I6pkY1/eIYiIVDiXLzv+/1dlll37pVHSvgeOjo5MnjyZwYMHk5ubS7t27ejQoUOp\n23rnnXcIDQ2lefPmNGzYkF69erFjxw6j7aVLlzJp0iTefvttCgoK8PT0ZOLEiaUcXeG+rv39lVde\n4dKlS/Tp04czZ87QqFEjPvnkkyLnu7u7M2XKFIYNG0Z2djavvPJKoSUj10pNTWXMmDEkJyfj6OhI\n165dCQ4OBuBf//oXU6ZMoW3btmRlZVG/fn2GDh0KwMiRI3n99ddp2rQpDRo0IDg4mI8//hi4MsNk\n2rRpHDp0CFtbW+MNGgADBw4EoHfv3pw6dQpnZ2e6du3K008/XerrI3efqaA083/ugp07d7Jv3z4G\nDx4MwHfffcehQ4d4+eWXjTrTp0+ne/fueHh4APDPf/6TF154gYcffrhQWwcOHCj0ypjnnnvuHoxA\nRERERETuhRUrVhi/W61WrFYrOTk5xmsbRaRic3Z2xs7OrsjxezYDwsnJidOnTxuf09PTcXJyKlLn\n2j8qaWlpRerAf/8IiYjIn8uKFSuUdBYR+RPQ33qRP6Z7tgdEo0aNSE5OJjU1lby8PLZv315kQ5AW\nLVoYa6ISEhJwdHTU8gsRERERERGRP4B7NgPi6o6v77zzDgUFBQQGBlK3bl02b96MyWSiXbt2NG/e\nnJiYGIYPH469vT1Dhgy5V+GJiIiIiIiISBm6Z3tAiIiI3KkDBw5oCZ6IyJ+U9oAQuX+UtAfEPVuC\nISIicqeUfBARERG5fykBISIiIiIiIiJlTkswRERERESkwsvLy+Py5cvlHYaIlILZbMbWtuiWk0pA\niIiIiIiIiEiZ0xIMERERERERESlzSkCIiIiIiIiISJlTAkJEREREREREylzRXSFERETKWUFBAVFR\nUZhMJlq2bElsbCx79uzBzc2N9u3bY2Oj/LmIiIjI/UabUIqISIXzySefcPbsWfLy8nBwcCAvL48W\nLVoQHR1N1apV6d+/f3mHKCIiIiK3SDMgRESkwvnll1+YNWsWeXl5vPLKKyxcuBBbW1v8/f0ZPXp0\neYcnIiIiIrdBc1hFRKTCMZvNANja2tKwYUPjPdJmsxmTyVSeoYmIiIjIbVICQkREKpxq1apx8eJF\nAMaPH28cz8jIMJIRIiIiInJ/0R4QIiJy37h48SI5OTlUrVq1vEMRERERkVukGRAiInLfsLe3JzMz\ns7zDEBEREZHboASEiIjcV955553yDkFEREREboMW0oqISIWzaNGiEsuysrLuYSQiIiIicrcoASEi\nIhXOtm3b+Nvf/lbshpPbt28vh4hERERE5E4pASEiIhVOw4YNqVevHh4eHkXKVq5cWQ4RiYiIiMid\n0lswRESkwsnMzMRisWBnZ1feoYiIiIjIXaIEhIiIiIiIiIiUOS3BEBGRCicrK4s1a9awZ88ezp49\ni8lkomrVqrRo0YJu3brh6OhY3iGKiIiIyC3SDAgREalwpkyZgtVqpW3btlSrVg2AjIwMtm3bRmxs\nLBMmTCjnCEVERETkVtmUdwAiIiLXO3XqFN26dTOSDwDVqlWjW7dupKamlmNkIiIiInK7lIAQEZEK\np2bNmqxbt46MjAzjWEZGBmvXrqVGjRrlGJmIiIiI3C4twRARkQonMzOTtWvX8uOPP3L27FngygwI\nX19funXrRuXKlcs5QhERERG5VUpAiIhIhZSYmEhaWhru7u7Y29sbx/fu3cujjz5ajpGJiIiIyO3Q\nEgwREalwNm7cyLvvvsu3337L//zP/7Bnzx6jbNmyZeUYmYiIiIjcLr2GU0REKpwtW7YwY8YM7O3t\nOXXqFGFhYaSmptKpUyc0cU9ERETk/qQEhIiIVDgFBQXGsotatWoxadIkZs2aRWpqqhIQIiIiIvcp\nLcEQEZEKp2rVqhw7dsz4bG9vz5gxYzh//jzHjx8vv8BERERE5LZpE0oREalw0tLSMJvNVKtWrUjZ\nwYMHadKkSTlEJSIiIiJ3QgkIERERERERESlzWoIhIiIiIiIiImVOCQgRERERERERKXNKQIiIiIiI\niIhImVMCQkRERERERETKnBIQIiJyz82dO5d58+YVOhYXF8eAAQPIyMgop6hEREREpCwpASEiIvdc\n//792bdvHz///DMAubm5LFiwgH79+hX76s3blZ+ff9faEhEREZE7Y1veAYiIyJ9P5cqV6d+/PwsX\nLuS9995j1apV1K5dm7/+9a8UFBSwZs0atm7dSnZ2Nt7e3gwaNIhKlSpRUFDA7NmzOXjwILm5uTRo\n0ICBAwfi5uYGXJlZUalSJVJSUjh48CBjxozB09OznEcrIiIiIgCmgoKCgvIOQkRE/pzCwsLIy8sj\nPj6emTNn4uTkxNdff82ePXsYOXIklStX5tNPPyU3N5dXX32VgoICvvvuO1q2bInZbObf//43v/76\nK9OmTQOuJCBiYmIYN24cjRo1Ii8vD1tb5dpFREREKgItwRARkXIzYMAAYmNj6dmzJ05OTgCEh4fT\nu3dvqlWrhq2tLcHBwURFRQFgMplo06YNdnZ22NraEhISwpEjR7h06ZLR5uOPP06jRo0AlHwQERER\nqUD0f2YiIlJuqlatSpUqVahbt65x7PTp08yYMQOTyWQcs7Gx4ezZs1SpUoWlS5eya9cuzp8/b9Q5\nd+4cNWrUAMDZ2fneDkJERERESkUJCBERqVCcnZ157bXXjFkM19q2bRt79+5l4sSJ1KhRg/PnzzNw\n4MBCda5NXIiIiIhIxaElGCIiUqG0a9eOZcuWcfr0aQDOnj3Ljz/+CEB2djYWi4XKlStz8eJFli1b\nVp6hioiIiMgt0AwIEREpV9fPWOjSpQsmk4l//vOfZGRkUK1aNfz9/WnRogUBAQHs37+fwYMHU6VK\nFZ577jm2bNlSYlsiIiIiUnHoLRgiIiIiIiIiUua0BENEREREREREypwSECIiIiIiIiJS5pSAEBER\nEREREZEypwSEiIiIiIiIiJQ5JSBEREREREREpMwpASEiIiIiIiIiZU4JCBEREREREREpc0pAiIiI\niIiIiEiZ+39659DifOt4CQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x135b0e1d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Pandemic disease annualized burden\n",
"\n",
"#Annual probability, essentially based on 3 pandemics over the years 1900 to 2000 in\n",
"# 1918, 1957 and 1968 (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2843747/)\n",
"# Figure used in \"The Neglected Dimension of Global Security.\" (www.nam.edu/GHRF)\n",
"annual_probability = 0.03 \n",
"\n",
"# (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2843747/)\n",
"# Based on the study reported in August 2009 in [9], more than 85% of laboratory-confirmed \n",
"# A/H1N1 deaths occurred in people under 60 years of age, with a mean age of deaths of 37 years \n",
"# (Table 1). This is in marked contrast to seasonal influenza epidemics where 90% of deaths occur \n",
"# in people over 65 years and the mean age of influenza-related deaths is estimated at 76 yrs.\n",
"mean_age = 37 \n",
"life_table_37 = 49.58 #Years remaining in life, from GBD life table below\n",
"\n",
"\n",
"# Excess mortality from a pandemic\n",
"# \"Estimation of potential global pandemic influenza mortality on the basis of vital registry\n",
"# data from the 1918-20 pandemic: a quantitative analysis.\"\n",
"# http://www.ncbi.nlm.nih.gov/pubmed/17189032\n",
"# FINDINGS:\n",
"# Excess mortality data show that, even in 1918-20, population mortality varied over 30-fold across \n",
"# countries. Per-head income explained a large fraction of this variation in mortality. Extrapolation \n",
"# of 1918-20 mortality rates to the worldwide population of 2004 indicates that an estimated 62 million \n",
"# people (10th-90th percentile range 51 million-81 million) would be killed by a similar influenza pandemic; \n",
"# 96% (95% CI 95-98) of these deaths would occur in the developing world. If this mortality were concentrated \n",
"# in a single year, it would increase global mortality by 114%.\n",
"excess_mortality = 62000000\n",
"\n",
"#Use life table, don't incorporate potential years up to 100, etc.\n",
"pandemic_yll = life_table_37 * excess_mortality * annual_probability\n",
"#Annualized years of life lost due to pandemics (billions): 0.0922188\n",
"\n",
"print 'Annualized years of life lost due to pandemics (billions): ', pandemic_yll/ 1e9\n",
"\n",
"\n",
"gbd2013_df = gbd_df[gbd_df['Year'] == 2013]\n",
"pandemic_df = gbd2013_df.copy()\n",
"pand_dict = [{'Cause of death or injury': 'Pandemic disease', 'Year': 2013, 'Value': pandemic_yll}]\n",
"pandemic_df = pandemic_df.append(pand_dict, ignore_index=True) \n",
"\n",
"stacked_plot(pandemic_df, 0.1, 3.0e9, colors)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# What if we use a longer life expectancy as the reference?\n",
"\n",
"\n",
"In order to calculate DALYs, you need two numbers: the years of life lost (YLL) and the years lived with disability (YLD). In order to calculate YLL for an individual, you need to know their age at death and their life expectancy at that age. \n",
"\n",
"But which life expectancy should you use? In past studies, the life expectancy of a male or female within the individual's country at that age was used. In my view, this most recent study is an ethical improvement because it uses Japanese women, who have the longest life expectancy at 86, as the standard to compare everyone against [4]. By doing this, the authors are saying that every person should have the longest possible life expectancy regardless of their location or sex. \n",
"\n",
"But do Japanese women really have the longest life expectancy? As a group with a population that is over 5 million, they do. But we certainly know that it is [biologically possible](https://en.wikipedia.org/wiki/List_of_the_verified_oldest_people) to live much longer than this. Why not set the upper limit at what is currently biologically possible? \n",
"\n",
"One reason might be that a substantial portion of longevity could be due to genetic predisposition. Some estimates put the genetic portion at 20-30% but this might be complicated by epigenetics and gene-environment interactions and might increase in cases of extreme longevity [5]. But at the end of the day, genetic predisposition results in some type of gene expression in the body that we could mimic if we had a better understanding of the aging process. Also, note that the study authors are already ignoring genetic predisposition by using Japanese women as the comparison group. \n",
"\n",
"Another argument against the extended life expectancy is that people are expressing their preference to live a shorter life by choosing a less healthy lifestyle (this often comes up when people express a love for bacon). I think this is a stronger criticism, but it's important to note that people aren't always rational when it comes to long term decision making. Also, plenty of other disease burdens that are due to conscious decisions (e.g. smoking) are included in the DALY estimates. \n",
"\n",
"Anyways, the purpose of this article isn't to hash out every ethical consideration -- I just want to get a sense of the scale of the potential disease burden. So how would using a life expectancy of, say, 100 change the analysis? Below I use two methods, one a simple estimate, and a second more in-depth estimate using life tables and global deaths by age. The end result is that using a life expectancy of 100 would result in an extra disease burden of around 500 million YLL due to premature aging each year. \n",
"\n",
"[4] \"Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.\" The Lancet. http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(12)61728-0/abstract\n",
"\n",
"[5] \"Genetic influence on human lifespan and longevity.\" Human Genetics. https://www.ncbi.nlm.nih.gov/pubmed/16463022/\n"
]
},
{
"cell_type": "code",
"execution_count": 353,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Years lost due to premature aging, simple estimate (billions): 0.763815675\n"
]
}
],
"source": [
"# Aging annualized burden, simple estimate\n",
"annual_death_rate = 765.73/100000 #GBD 2013\n",
"potential_expectancy = 100\n",
"global_population = 7125000000 #2013, World Bank\n",
"gbd_expectancy = 86\n",
"\n",
"#Annual potential years of life lost, estimate\n",
"aging_yll_est = (potential_expectancy - gbd_expectancy) * annual_death_rate * global_population\n",
"\n",
"print 'Years lost due to premature aging, simple estimate (billions): ', aging_yll_est / 1e9\n",
"#Note it ignores any YLDs\n",
"#Also note that it doesn't take into account life expectancy at age of death. \n",
"#Could be a large overestimate? \n",
"\n",
"#So to get a better estimate, get deaths by age (by sex?) from gbd data\n",
"#and get life table, and calculate 120 - lifeexp_age_fromlifetable * #people at that age annually"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Life Table Estimate\n",
"\n",
"The second approach accounts for the fact that after you've lived through younger age cohorts, your current life expectancy actually exceeds your life expectancy at birth. This is why someone at age 105 in the `life_table` below can still expect to live `1.63` more years even if this exceeds their life expectancy at birth. *Of the people that reach that age, the average length of life afterwards is `1.63` years.* Ok, so how do we take that into account? \n",
"\n",
"The GBD already used the age in the life table plus the remaining years of life when they calculated YLL \\[6\\]. So I need to subtract this sum from the new upper limit of 100 years for each age cohort, and multiply that result times the number of deaths in each age cohort in 2013. The deaths by age group data from [IHME's site](http://ihmeuw.org/3wgb) comes grouped by five year increments, so I use the mean life table value for the five year cohorts to do the analysis. \n",
"\n",
"\n",
"[6] \"Comprehensive Systematic Analysis of Global Epidemiology: Definitions, Methods, Simplification of DALYs, and Comparative Results from the Global Burden of Disease 2010 Study.\" Web Table 6: Single year standard lifetable. http://www.thelancet.com/cms/attachment/2017336178/2037711222/mmc1.pdf\n"
]
},
{
"cell_type": "code",
"execution_count": 354,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Years lost due to premature aging, life table estimate (billions): 0.552019602523\n"
]
},
{
"data": {
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"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Age</th>\n",
" <th>num_deaths</th>\n",
" <th>lower_age</th>\n",
" <th>upper_age</th>\n",
" <th>avg_age</th>\n",
" <th>avg_lost_years</th>\n",
" <th>age_cohort_lifeexp</th>\n",
" <th>aging_yll</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>17</th>\n",
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" <td>1</td>\n",
" <td>0.5</td>\n",
" <td>86.020</td>\n",
" <td>86.520</td>\n",
" <td>60171001.752885</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1-4</td>\n",
" <td>1816195.614709</td>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>2.5</td>\n",
" <td>83.725</td>\n",
" <td>86.225</td>\n",
" <td>25018094.592611</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>5-9</td>\n",
" <td>476742.274921</td>\n",
" <td>5</td>\n",
" <td>9</td>\n",
" <td>7.0</td>\n",
" <td>79.260</td>\n",
" <td>86.260</td>\n",
" <td>6550438.857416</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>10-14</td>\n",
" <td>365474.428165</td>\n",
" <td>10</td>\n",
" <td>14</td>\n",
" <td>12.0</td>\n",
" <td>74.280</td>\n",
" <td>86.280</td>\n",
" <td>5014309.154428</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>15-19</td>\n",
" <td>600613.932945</td>\n",
" <td>15</td>\n",
" <td>19</td>\n",
" <td>17.0</td>\n",
" <td>69.320</td>\n",
" <td>86.320</td>\n",
" <td>8216398.602691</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>20-24</td>\n",
" <td>900540.161535</td>\n",
" <td>20</td>\n",
" <td>24</td>\n",
" <td>22.0</td>\n",
" <td>64.370</td>\n",
" <td>86.370</td>\n",
" <td>12274362.401721</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>25-29</td>\n",
" <td>1075687.420244</td>\n",
" <td>25</td>\n",
" <td>29</td>\n",
" <td>27.0</td>\n",
" <td>59.430</td>\n",
" <td>86.430</td>\n",
" <td>14597078.292715</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>30-34</td>\n",
" <td>1175301.526232</td>\n",
" <td>30</td>\n",
" <td>34</td>\n",
" <td>32.0</td>\n",
" <td>54.490</td>\n",
" <td>86.490</td>\n",
" <td>15878323.619396</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>35-39</td>\n",
" <td>1329198.871632</td>\n",
" <td>35</td>\n",
" <td>39</td>\n",
" <td>37.0</td>\n",
" <td>49.580</td>\n",
" <td>86.580</td>\n",
" <td>17837848.857304</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>40-44</td>\n",
" <td>1571115.297667</td>\n",
" <td>40</td>\n",
" <td>44</td>\n",
" <td>42.0</td>\n",
" <td>44.710</td>\n",
" <td>86.710</td>\n",
" <td>20880122.305997</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>45-49</td>\n",
" <td>1992295.351683</td>\n",
" <td>45</td>\n",
" <td>49</td>\n",
" <td>47.0</td>\n",
" <td>39.900</td>\n",
" <td>86.900</td>\n",
" <td>26099069.107050</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>50-54</td>\n",
" <td>2527296.211479</td>\n",
" <td>50</td>\n",
" <td>54</td>\n",
" <td>52.0</td>\n",
" <td>35.190</td>\n",
" <td>87.190</td>\n",
" <td>32374664.469052</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>55-59</td>\n",
" <td>3186138.279997</td>\n",
" <td>55</td>\n",
" <td>59</td>\n",
" <td>57.0</td>\n",
" <td>30.550</td>\n",
" <td>87.550</td>\n",
" <td>39667421.585968</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>60-64</td>\n",
" <td>4097604.891095</td>\n",
" <td>60</td>\n",
" <td>64</td>\n",
" <td>62.0</td>\n",
" <td>26.000</td>\n",
" <td>88.000</td>\n",
" <td>49171258.693144</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>65-69</td>\n",
" <td>4174311.206536</td>\n",
" <td>65</td>\n",
" <td>69</td>\n",
" <td>67.0</td>\n",
" <td>21.550</td>\n",
" <td>88.550</td>\n",
" <td>47795863.314839</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>70-74</td>\n",
" <td>5155833.993336</td>\n",
" <td>70</td>\n",
" <td>74</td>\n",
" <td>72.0</td>\n",
" <td>17.280</td>\n",
" <td>89.280</td>\n",
" <td>55270540.408560</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>75-79</td>\n",
" <td>5501272.621034</td>\n",
" <td>75</td>\n",
" <td>79</td>\n",
" <td>77.0</td>\n",
" <td>13.270</td>\n",
" <td>90.270</td>\n",
" <td>53527382.602658</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>80-105</td>\n",
" <td>14454418.859887</td>\n",
" <td>80</td>\n",
" <td>105</td>\n",
" <td>92.5</td>\n",
" <td>4.960</td>\n",
" <td>97.460</td>\n",
" <td>36714223.904113</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Age num_deaths lower_age upper_age avg_age avg_lost_years \\\n",
"17 0-1 4463724.165644 0 1 0.5 86.020 \n",
"0 1-4 1816195.614709 1 4 2.5 83.725 \n",
"1 5-9 476742.274921 5 9 7.0 79.260 \n",
"2 10-14 365474.428165 10 14 12.0 74.280 \n",
"3 15-19 600613.932945 15 19 17.0 69.320 \n",
"4 20-24 900540.161535 20 24 22.0 64.370 \n",
"5 25-29 1075687.420244 25 29 27.0 59.430 \n",
"6 30-34 1175301.526232 30 34 32.0 54.490 \n",
"7 35-39 1329198.871632 35 39 37.0 49.580 \n",
"8 40-44 1571115.297667 40 44 42.0 44.710 \n",
"9 45-49 1992295.351683 45 49 47.0 39.900 \n",
"10 50-54 2527296.211479 50 54 52.0 35.190 \n",
"11 55-59 3186138.279997 55 59 57.0 30.550 \n",
"12 60-64 4097604.891095 60 64 62.0 26.000 \n",
"13 65-69 4174311.206536 65 69 67.0 21.550 \n",
"14 70-74 5155833.993336 70 74 72.0 17.280 \n",
"15 75-79 5501272.621034 75 79 77.0 13.270 \n",
"16 80-105 14454418.859887 80 105 92.5 4.960 \n",
"\n",
" age_cohort_lifeexp aging_yll \n",
"17 86.520 60171001.752885 \n",
"0 86.225 25018094.592611 \n",
"1 86.260 6550438.857416 \n",
"2 86.280 5014309.154428 \n",
"3 86.320 8216398.602691 \n",
"4 86.370 12274362.401721 \n",
"5 86.430 14597078.292715 \n",
"6 86.490 15878323.619396 \n",
"7 86.580 17837848.857304 \n",
"8 86.710 20880122.305997 \n",
"9 86.900 26099069.107050 \n",
"10 87.190 32374664.469052 \n",
"11 87.550 39667421.585968 \n",
"12 88.000 49171258.693144 \n",
"13 88.550 47795863.314839 \n",
"14 89.280 55270540.408560 \n",
"15 90.270 53527382.602658 \n",
"16 97.460 36714223.904113 "
]
},
"execution_count": 354,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Aging annualized burden, life table estimate\n",
"\n",
"# Comprehensive Systematic Analysis of Global Epidemiology: Definitions, Methods, \n",
"# Simplification of DALYs, and Comparative Results from the Global Burden of Disease 2010 Study\n",
"# Web Table 6: Single year standard lifetable\n",
"life_table = {0: 86.02, 1: 85.21, 2: 84.22, 3: 83.23, 4: 82.24, 5: 81.25, 6: 80.25, 7: 79.26, \n",
" 8: 78.26, 9: 77.27, 10: 76.27, 11: 75.28, 12: 74.28, 13: 73.29, 14: 72.29, 15: 71.29, \n",
" 16: 70.3, 17: 69.32, 18: 68.33, 19: 67.34, 20: 66.35, 21: 65.36, 22: 64.37, 23: 63.38, \n",
" 24: 62.39, 25: 61.4, 26: 60.41, 27: 59.43, 28: 58.44, 29: 57.45, 30: 56.46, 31: 55.48, \n",
" 32: 54.49, 33: 53.5, 34: 52.52, 35: 51.53, 36: 50.56, 37: 49.58, 38: 48.6, 39: 47.62, 40: \n",
" 46.64, 41: 45.67, 42: 44.71, 43: 43.74, 44: 42.77, 45: 41.8, 46: 40.85, 47: 39.9, 48: 38.95, \n",
" 49: 38.0, 50: 37.05, 51: 36.12, 52: 35.19, 53: 34.25, 54: 33.32, 55: 32.38, 56: 31.47, \n",
" 57: 30.55, 58: 29.64, 59: 28.73, 60: 27.81, 61: 26.91, 62: 26.0, 63: 25.1, 64: 24.2, 65: 23.29, \n",
" 66: 22.42, 67: 21.55, 68: 20.68, 69: 19.8, 70: 18.93, 71: 18.1, 72: 17.28, 73: 16.45, 74: 15.62, \n",
" 75: 14.8, 76: 14.04, 77: 13.27, 78: 12.51, 79: 11.75, 80: 10.99, 81: 10.32, 82: 9.65, 83: 8.98, \n",
" 84: 8.31, 85: 7.64, 86: 7.12, 87: 6.61, 88: 6.09, 89: 5.57, 90: 5.05, 91: 4.7, 92: 4.35, 93: 4.0, \n",
" 94: 3.66, 95: 3.31, 96: 3.09, 97: 2.88, 98: 2.66, 99: 2.44, 100: 2.23, 101: 2.11, 102: 1.99,\n",
" 103: 1.87, 104: 1.75, 105: 1.63}\n",
"\n",
"#The mean of life_table for each year range\n",
"life_table_5yr = {'60-64': 26.0, '25-29': 59.43, '50-54': 35.19, '90-94': 4.35, '100-104': 1.99, \n",
" '75-79': 13.27, '10-14': 74.28, '95-99': 2.88, '15-19': 69.32, '20-24': 64.37, \n",
" '1-4': 83.725, '65-69': 21.55, '55-59': 30.55, '40-44': 44.71, '45-49': 39.9, \n",
" '30-34': 54.49, '35-39': 49.58, '5-9': 79.26, '70-74': 17.28, '0-1': 86.02,\n",
" '80-84': 9.65, '85-89': 6.61, '80-105': 4.96}\n",
"\n",
"years = life_table_5yr.keys()\n",
"values= life_table_5yr.values()\n",
"life_df = pd.DataFrame({'Age': years, 'avg_lost_years': values })\n",
"\n",
"\n",
"deaths_df = pd.read_csv('./gbd_deaths_age_2013.csv')\n",
"deaths_df = deaths_df[['Age', 'Value']]\n",
"deaths_df.replace([' years', ' days', '\\+'], ['','','-105'], regex=True, inplace=True)\n",
"deaths_df = deaths_df.append({'Age': '0-1', 'Value': np.sum(deaths_df.ix[0:2,'Value'])}, ignore_index=True)\n",
"deaths_df.drop(deaths_df.index[[0,1,2]], inplace=True)\n",
"deaths_df['lower_age'], deaths_df['upper_age'] = deaths_df['Age'].str.split('-').str\n",
"deaths_df[['lower_age','upper_age']] = deaths_df[['lower_age','upper_age']].apply(pd.to_numeric)\n",
"deaths_df['avg_age'] = (deaths_df['upper_age'] + deaths_df['lower_age']) / 2\n",
"deaths_df.rename(columns={'Value':'num_deaths'}, inplace=True)\n",
"\n",
"deaths_df = deaths_df.merge(life_df, on='Age')\n",
"deaths_df['age_cohort_lifeexp'] = deaths_df['avg_age'] + deaths_df['avg_lost_years']\n",
"\n",
"\n",
"# Potential_expectancy is from simple estimate:\n",
"deaths_df['aging_yll'] = (potential_expectancy - deaths_df['age_cohort_lifeexp']) * deaths_df['num_deaths']\n",
"\n",
"aging_yll = np.sum(deaths_df['aging_yll']) \n",
"\n",
"# Add on additional potential years from pandemics, based on new potential expectancy:\n",
"# No pandemics: 0.527058402523, with: 0.552019602523\n",
"aging_yll += (potential_expectancy - (mean_age + life_table_37)) * excess_mortality * annual_probability\n",
"\n",
"print 'Years lost due to premature aging, life table estimate (billions): ', aging_yll / 1e9\n",
"\n",
"deaths_df.sort_values(by='lower_age') "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# What's the relative scale?\n",
"\n",
"Finally, here is an updated vizualization and table showing the added YLL due to premature aging. The premature aging column turns out to be quite large. In reality, this burden would be split up among all the different causes of death, but it's interesting to see it as a stand-alone category. \n",
"\n",
"The final table below shows that the Pandemic disease burden is in the middle, with a similar value to that of *Neglected tropical diseases and malaria*. The premature aging category has the largest burden of any single category, although it really should be split up among each of the diseases. "
]
},
{
"cell_type": "code",
"execution_count": 355,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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OjsyePZvLly+Tm5tLYmIiP//8803j7N+/n3Xr1pGbm8tHH32Era0t9evXv6N4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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1313b5310>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Location</th>\n",
" <th>Year</th>\n",
" <th>Age</th>\n",
" <th>Sex</th>\n",
" <th>Cause of death or injury</th>\n",
" <th>Measure</th>\n",
" <th>Value</th>\n",
" <th>Lower bound</th>\n",
" <th>Upper bound</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Forces of nature, war, and legal intervention</td>\n",
" <td>DALYs</td>\n",
" <td>6.113613e+06</td>\n",
" <td>3.504764e+06</td>\n",
" <td>1.106874e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Maternal disorders</td>\n",
" <td>DALYs</td>\n",
" <td>1.802781e+07</td>\n",
" <td>1.605184e+07</td>\n",
" <td>1.998946e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Other communicable, maternal, neonatal, and nutritional diseases</td>\n",
" <td>DALYs</td>\n",
" <td>2.711404e+07</td>\n",
" <td>2.168406e+07</td>\n",
" <td>3.397773e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Cirrhosis</td>\n",
" <td>DALYs</td>\n",
" <td>3.685807e+07</td>\n",
" <td>3.505394e+07</td>\n",
" <td>3.902250e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Digestive diseases</td>\n",
" <td>DALYs</td>\n",
" <td>3.734117e+07</td>\n",
" <td>3.367044e+07</td>\n",
" <td>4.145244e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Self-harm and interpersonal violence</td>\n",
" <td>DALYs</td>\n",
" <td>5.657462e+07</td>\n",
" <td>4.867773e+07</td>\n",
" <td>6.325653e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Nutritional deficiencies</td>\n",
" <td>DALYs</td>\n",
" <td>7.483442e+07</td>\n",
" <td>5.940201e+07</td>\n",
" <td>9.408409e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Transport injuries</td>\n",
" <td>DALYs</td>\n",
" <td>7.895289e+07</td>\n",
" <td>7.212276e+07</td>\n",
" <td>8.511561e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Neurological disorders</td>\n",
" <td>DALYs</td>\n",
" <td>8.404802e+07</td>\n",
" <td>6.569416e+07</td>\n",
" <td>1.056925e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Neglected tropical diseases and malaria</td>\n",
" <td>DALYs</td>\n",
" <td>9.067684e+07</td>\n",
" <td>7.574893e+07</td>\n",
" <td>1.077376e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>NaN</td>\n",
" <td>2013</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Pandemic disease</td>\n",
" <td>NaN</td>\n",
" <td>9.221880e+07</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Unintentional injuries</td>\n",
" <td>DALYs</td>\n",
" <td>1.059413e+08</td>\n",
" <td>9.699608e+07</td>\n",
" <td>1.172652e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Chronic respiratory diseases</td>\n",
" <td>DALYs</td>\n",
" <td>1.127107e+08</td>\n",
" <td>9.887194e+07</td>\n",
" <td>1.281478e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>HIV/AIDS and tuberculosis</td>\n",
" <td>DALYs</td>\n",
" <td>1.191796e+08</td>\n",
" <td>1.124977e+08</td>\n",
" <td>1.275849e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Diabetes, urogenital, blood, and endocrine diseases</td>\n",
" <td>DALYs</td>\n",
" <td>1.416209e+08</td>\n",
" <td>1.187134e+08</td>\n",
" <td>1.681583e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Musculoskeletal disorders</td>\n",
" <td>DALYs</td>\n",
" <td>1.494357e+08</td>\n",
" <td>1.068885e+08</td>\n",
" <td>1.975651e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Other non-communicable diseases</td>\n",
" <td>DALYs</td>\n",
" <td>1.709479e+08</td>\n",
" <td>1.309229e+08</td>\n",
" <td>2.234843e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Mental and substance use disorders</td>\n",
" <td>DALYs</td>\n",
" <td>1.731774e+08</td>\n",
" <td>1.274265e+08</td>\n",
" <td>2.217341e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Neonatal disorders</td>\n",
" <td>DALYs</td>\n",
" <td>1.896010e+08</td>\n",
" <td>1.790241e+08</td>\n",
" <td>2.000440e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Neoplasms</td>\n",
" <td>DALYs</td>\n",
" <td>1.970935e+08</td>\n",
" <td>1.892370e+08</td>\n",
" <td>2.062585e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Diarrhea, lower respiratory, and other common infectious diseases</td>\n",
" <td>DALYs</td>\n",
" <td>2.498551e+08</td>\n",
" <td>2.312221e+08</td>\n",
" <td>2.696253e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Global</td>\n",
" <td>2013</td>\n",
" <td>All ages</td>\n",
" <td>Both</td>\n",
" <td>Cardiovascular diseases</td>\n",
" <td>DALYs</td>\n",
" <td>3.297056e+08</td>\n",
" <td>3.111888e+08</td>\n",
" <td>3.482062e+08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>NaN</td>\n",
" <td>2013</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Premature aging</td>\n",
" <td>NaN</td>\n",
" <td>5.520196e+08</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Location Year Age Sex \\\n",
"0 Global 2013 All ages Both \n",
"17 Global 2013 All ages Both \n",
"14 Global 2013 All ages Both \n",
"10 Global 2013 All ages Both \n",
"9 Global 2013 All ages Both \n",
"1 Global 2013 All ages Both \n",
"15 Global 2013 All ages Both \n",
"3 Global 2013 All ages Both \n",
"8 Global 2013 All ages Both \n",
"18 Global 2013 All ages Both \n",
"22 NaN 2013 NaN NaN \n",
"2 Global 2013 All ages Both \n",
"11 Global 2013 All ages Both \n",
"20 Global 2013 All ages Both \n",
"6 Global 2013 All ages Both \n",
"5 Global 2013 All ages Both \n",
"4 Global 2013 All ages Both \n",
"7 Global 2013 All ages Both \n",
"16 Global 2013 All ages Both \n",
"13 Global 2013 All ages Both \n",
"19 Global 2013 All ages Both \n",
"12 Global 2013 All ages Both \n",
"21 NaN 2013 NaN NaN \n",
"\n",
" Cause of death or injury Measure \\\n",
"0 Forces of nature, war, and legal intervention DALYs \n",
"17 Maternal disorders DALYs \n",
"14 Other communicable, maternal, neonatal, and nutritional diseases DALYs \n",
"10 Cirrhosis DALYs \n",
"9 Digestive diseases DALYs \n",
"1 Self-harm and interpersonal violence DALYs \n",
"15 Nutritional deficiencies DALYs \n",
"3 Transport injuries DALYs \n",
"8 Neurological disorders DALYs \n",
"18 Neglected tropical diseases and malaria DALYs \n",
"22 Pandemic disease NaN \n",
"2 Unintentional injuries DALYs \n",
"11 Chronic respiratory diseases DALYs \n",
"20 HIV/AIDS and tuberculosis DALYs \n",
"6 Diabetes, urogenital, blood, and endocrine diseases DALYs \n",
"5 Musculoskeletal disorders DALYs \n",
"4 Other non-communicable diseases DALYs \n",
"7 Mental and substance use disorders DALYs \n",
"16 Neonatal disorders DALYs \n",
"13 Neoplasms DALYs \n",
"19 Diarrhea, lower respiratory, and other common infectious diseases DALYs \n",
"12 Cardiovascular diseases DALYs \n",
"21 Premature aging NaN \n",
"\n",
" Value Lower bound Upper bound \n",
"0 6.113613e+06 3.504764e+06 1.106874e+07 \n",
"17 1.802781e+07 1.605184e+07 1.998946e+07 \n",
"14 2.711404e+07 2.168406e+07 3.397773e+07 \n",
"10 3.685807e+07 3.505394e+07 3.902250e+07 \n",
"9 3.734117e+07 3.367044e+07 4.145244e+07 \n",
"1 5.657462e+07 4.867773e+07 6.325653e+07 \n",
"15 7.483442e+07 5.940201e+07 9.408409e+07 \n",
"3 7.895289e+07 7.212276e+07 8.511561e+07 \n",
"8 8.404802e+07 6.569416e+07 1.056925e+08 \n",
"18 9.067684e+07 7.574893e+07 1.077376e+08 \n",
"22 9.221880e+07 NaN NaN \n",
"2 1.059413e+08 9.699608e+07 1.172652e+08 \n",
"11 1.127107e+08 9.887194e+07 1.281478e+08 \n",
"20 1.191796e+08 1.124977e+08 1.275849e+08 \n",
"6 1.416209e+08 1.187134e+08 1.681583e+08 \n",
"5 1.494357e+08 1.068885e+08 1.975651e+08 \n",
"4 1.709479e+08 1.309229e+08 2.234843e+08 \n",
"7 1.731774e+08 1.274265e+08 2.217341e+08 \n",
"16 1.896010e+08 1.790241e+08 2.000440e+08 \n",
"13 1.970935e+08 1.892370e+08 2.062585e+08 \n",
"19 2.498551e+08 2.312221e+08 2.696253e+08 \n",
"12 3.297056e+08 3.111888e+08 3.482062e+08 \n",
"21 5.520196e+08 NaN NaN "
]
},
"execution_count": 355,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#colors_update = colors[:]\n",
"#colors_update.extend(['#ffff80','#ffffcc']) #['#ffff80','#ffffcc'] [ '#A9A9A9', '#BFBFBF']\n",
" \n",
"dicts = [{'Cause of death or injury': 'Premature aging', 'Year': 2013, 'Value': aging_yll},\n",
" {'Cause of death or injury': 'Pandemic disease', 'Year': 2013, 'Value': pandemic_yll}]\n",
" \n",
"gbd2013add_df = gbd2013_df.copy()\n",
"gbd2013add_df = gbd2013add_df.append(dicts, ignore_index=True) \n",
" \n",
"stacked_plot(gbd2013add_df, 0.1, 3.5e9, colors)\n",
"\n",
"gbd2013add_df.sort_values(by='Value')\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
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