{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T18:17:22.583915Z",
"start_time": "2018-03-16T18:17:20.252530Z"
}
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import numpy as np\n",
"import geopandas as gpd\n",
"# from shapely.geometry import Point\n",
"# from geopandas import GeoDataFrame\n",
"import os\n",
"from os.path import join\n",
"import pandas as pd\n",
"import fiona\n",
"# from cartopy import crs as ccrs\n",
"# from urllib.request import urlopen\n",
"# from zipfile import ZipFile\n",
"# from io import BytesIO\n",
"# from pathlib import Path\n",
"\n",
"sns.set(style='white')\n",
"cwd = os.getcwd()\n",
"data_path = join(cwd, '..', 'Data storage')\n",
"figure_path = join(cwd,'..', 'Figures')\n",
"file_date = '2018-03-06'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T01:30:57.926475Z",
"start_time": "2018-03-16T01:30:57.915320Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPython 3.6.4\n",
"IPython 6.2.1\n",
"\n",
"pandas 0.22.0\n",
"geopandas 0.3.0\n",
"shapely 1.6.4.post1\n"
]
}
],
"source": [
"%load_ext watermark\n",
"%watermark -v -p pandas,geopandas,shapely"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Read NERC regions shapefile"
]
},
{
"cell_type": "code",
"execution_count": 149,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T13:50:57.087464Z",
"start_time": "2018-03-16T13:50:56.795701Z"
}
},
"outputs": [],
"source": [
"path = os.path.join(data_path, 'nercregions', 'NERCregions.shp')\n",
"regions_nerc = gpd.read_file(path)\n",
"regions_nerc['nerc'] = regions_nerc['NERCregion']"
]
},
{
"cell_type": "code",
"execution_count": 150,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T13:51:08.346080Z",
"start_time": "2018-03-16T13:51:08.307554Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" OBJECTID | \n",
" NERCregion | \n",
" SHAPE_Leng | \n",
" SHAPE_Area | \n",
" geometry | \n",
" nerc | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 1 | \n",
" FRCC | \n",
" 22.488030 | \n",
" 11.459289 | \n",
" POLYGON ((-84.86300370899994 30.71266453000004... | \n",
" FRCC | \n",
"
\n",
" \n",
" 1 | \n",
" 2 | \n",
" MRO | \n",
" 76.997961 | \n",
" 130.425939 | \n",
" POLYGON ((-94.8320392469999 49.33080593000005,... | \n",
" MRO | \n",
"
\n",
" \n",
" 2 | \n",
" 3 | \n",
" NPCC | \n",
" 48.574281 | \n",
" 32.754394 | \n",
" (POLYGON ((-72.5509712409999 40.96617993100006... | \n",
" NPCC | \n",
"
\n",
" \n",
" 3 | \n",
" 4 | \n",
" RFC | \n",
" 99.332877 | \n",
" 71.157869 | \n",
" (POLYGON ((-87.92640864299995 44.5391396020000... | \n",
" RFC | \n",
"
\n",
" \n",
" 4 | \n",
" 5 | \n",
" SERC | \n",
" 128.958444 | \n",
" 142.139208 | \n",
" POLYGON ((-80.20680177299994 36.54903791300006... | \n",
" SERC | \n",
"
\n",
" \n",
" 5 | \n",
" 6 | \n",
" SPP | \n",
" 61.523164 | \n",
" 56.496471 | \n",
" POLYGON ((-97.56098691099993 36.38533196100008... | \n",
" SPP | \n",
"
\n",
" \n",
" 6 | \n",
" 7 | \n",
" TRE | \n",
" 44.145641 | \n",
" 50.605118 | \n",
" POLYGON ((-104.4498774409999 32.00686615000006... | \n",
" TRE | \n",
"
\n",
" \n",
" 7 | \n",
" 8 | \n",
" WECC | \n",
" 102.110211 | \n",
" 323.227276 | \n",
" (POLYGON ((-122.6656125679999 48.3967777520000... | \n",
" WECC | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" OBJECTID NERCregion SHAPE_Leng SHAPE_Area \\\n",
"0 1 FRCC 22.488030 11.459289 \n",
"1 2 MRO 76.997961 130.425939 \n",
"2 3 NPCC 48.574281 32.754394 \n",
"3 4 RFC 99.332877 71.157869 \n",
"4 5 SERC 128.958444 142.139208 \n",
"5 6 SPP 61.523164 56.496471 \n",
"6 7 TRE 44.145641 50.605118 \n",
"7 8 WECC 102.110211 323.227276 \n",
"\n",
" geometry nerc \n",
"0 POLYGON ((-84.86300370899994 30.71266453000004... FRCC \n",
"1 POLYGON ((-94.8320392469999 49.33080593000005,... MRO \n",
"2 (POLYGON ((-72.5509712409999 40.96617993100006... NPCC \n",
"3 (POLYGON ((-87.92640864299995 44.5391396020000... RFC \n",
"4 POLYGON ((-80.20680177299994 36.54903791300006... SERC \n",
"5 POLYGON ((-97.56098691099993 36.38533196100008... SPP \n",
"6 POLYGON ((-104.4498774409999 32.00686615000006... TRE \n",
"7 (POLYGON ((-122.6656125679999 48.3967777520000... WECC "
]
},
"execution_count": 150,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"regions_nerc"
]
},
{
"cell_type": "code",
"execution_count": 151,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T13:51:14.699102Z",
"start_time": "2018-03-16T13:51:14.564849Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 151,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"regions_nerc.boundary.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Read states shapefile"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T01:31:06.504376Z",
"start_time": "2018-03-16T01:31:06.438831Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'init': 'epsg:4269'}"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"path = os.path.join(data_path, 'cb_2016_us_state_20m', 'cb_2016_us_state_20m.shp')\n",
"states = gpd.read_file(path)\n",
"states.crs"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T01:32:08.768359Z",
"start_time": "2018-03-16T01:32:08.755736Z"
}
},
"outputs": [],
"source": [
"drop_states = ['Alaska', 'Hawaii', 'Puerto Rico']\n",
"states = states.loc[~states['NAME'].isin(drop_states)]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T01:32:10.797976Z",
"start_time": "2018-03-16T01:32:10.090678Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"states.to_crs(epsg=2163).plot()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T01:32:14.647749Z",
"start_time": "2018-03-16T01:32:14.610175Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" nerc | \n",
" 2001 | \n",
" 2017 | \n",
" Reduction | \n",
" Percent Reduction | \n",
" Annual Reduction | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" TRE | \n",
" 609.480997 | \n",
" 445.396025 | \n",
" 164.084972 | \n",
" 0.269221 | \n",
" 10.255311 | \n",
"
\n",
" \n",
" 1 | \n",
" WECC | \n",
" 520.628493 | \n",
" 346.627554 | \n",
" 174.000939 | \n",
" 0.334213 | \n",
" 10.875059 | \n",
"
\n",
" \n",
" 2 | \n",
" USA | \n",
" 629.016312 | \n",
" 438.047363 | \n",
" 190.968949 | \n",
" 0.303599 | \n",
" 11.935559 | \n",
"
\n",
" \n",
" 3 | \n",
" SERC | \n",
" 633.368212 | \n",
" 426.814179 | \n",
" 206.554033 | \n",
" 0.326120 | \n",
" 12.909627 | \n",
"
\n",
" \n",
" 4 | \n",
" RFC | \n",
" 676.181487 | \n",
" 461.065520 | \n",
" 215.115966 | \n",
" 0.318133 | \n",
" 13.444748 | \n",
"
\n",
" \n",
" 5 | \n",
" FRCC | \n",
" 648.223415 | \n",
" 410.133060 | \n",
" 238.090355 | \n",
" 0.367297 | \n",
" 14.880647 | \n",
"
\n",
" \n",
" 6 | \n",
" NPCC | \n",
" 414.395302 | \n",
" 172.744904 | \n",
" 241.650399 | \n",
" 0.583140 | \n",
" 15.103150 | \n",
"
\n",
" \n",
" 7 | \n",
" MRO | \n",
" 855.109267 | \n",
" 541.516736 | \n",
" 313.592531 | \n",
" 0.366728 | \n",
" 19.599533 | \n",
"
\n",
" \n",
" 8 | \n",
" SPP | \n",
" 853.801162 | \n",
" 494.664676 | \n",
" 359.136486 | \n",
" 0.420632 | \n",
" 22.446030 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" nerc 2001 2017 Reduction Percent Reduction \\\n",
"0 TRE 609.480997 445.396025 164.084972 0.269221 \n",
"1 WECC 520.628493 346.627554 174.000939 0.334213 \n",
"2 USA 629.016312 438.047363 190.968949 0.303599 \n",
"3 SERC 633.368212 426.814179 206.554033 0.326120 \n",
"4 RFC 676.181487 461.065520 215.115966 0.318133 \n",
"5 FRCC 648.223415 410.133060 238.090355 0.367297 \n",
"6 NPCC 414.395302 172.744904 241.650399 0.583140 \n",
"7 MRO 855.109267 541.516736 313.592531 0.366728 \n",
"8 SPP 853.801162 494.664676 359.136486 0.420632 \n",
"\n",
" Annual Reduction \n",
"0 10.255311 \n",
"1 10.875059 \n",
"2 11.935559 \n",
"3 12.909627 \n",
"4 13.444748 \n",
"5 14.880647 \n",
"6 15.103150 \n",
"7 19.599533 \n",
"8 22.446030 "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"path = join(data_path, 'final NERC data',\n",
" 'Summary table {}.csv'.format(file_date))\n",
"index = pd.read_csv(path)\n",
"index"
]
},
{
"cell_type": "code",
"execution_count": 152,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T13:51:21.672922Z",
"start_time": "2018-03-16T13:51:21.597805Z"
}
},
"outputs": [],
"source": [
"for nerc in regions_nerc['nerc'].unique():\n",
" try:\n",
" val_2017 = index.loc[index['nerc']==nerc, '2017'].values[0]\n",
" val_2001 = index.loc[index['nerc']==nerc, '2001'].values[0]\n",
" reduce = index.loc[index['nerc']==nerc, 'Percent Reduction'].values[0]\n",
" regions_nerc.loc[regions_nerc['nerc']==nerc, 2017] = val_2017\n",
" regions_nerc.loc[regions_nerc['nerc']==nerc, 2001] = val_2001\n",
" \n",
" regions_nerc.loc[regions_nerc['nerc']==nerc, 'reduction'] = '{:.0%}'.format(reduce)\n",
" regions_nerc.loc[regions_nerc['nerc']==nerc, 'reduction value'] = reduce\n",
" except:\n",
" pass"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Transform projection to Albers equal area"
]
},
{
"cell_type": "code",
"execution_count": 154,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T13:51:28.909332Z",
"start_time": "2018-03-16T13:51:28.881645Z"
}
},
"outputs": [],
"source": [
"regions_albers = regions_nerc.to_crs(epsg=2163)\n",
"states_albers = states.to_crs(epsg=2163)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plot data"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T02:20:59.328190Z",
"start_time": "2018-03-16T02:20:59.321135Z"
}
},
"outputs": [],
"source": [
"# https://gist.github.com/springmeyer/871897\n",
"# Convert lon/lat into meters for use in the projected space\n",
"\n",
"def conv_lon(x):\n",
" newx = x * 20037508.34 / 180\n",
" return newx\n",
"\n",
"def conv_lat(y):\n",
" newy = np.log(np.tan((90 + y) * np.pi / 360)) / (np.pi / 180)\n",
" newy *= 20037508.34 / 180\n",
" return newy"
]
},
{
"cell_type": "code",
"execution_count": 169,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T14:15:58.522009Z",
"start_time": "2018-03-16T14:15:58.294639Z"
}
},
"outputs": [],
"source": [
"def plot_nerc_annual(regions_proj, states_proj, data_col, text_col,\n",
" cmap='cividis_r', vmin=None, vmax=None, title=None,\n",
" cbar_title=None, **kwargs):\n",
" \n",
" states_ec = kwargs.get('states_ec', '0.6')\n",
" regions_ec = kwargs.get('regions_ec', '0.2')\n",
" regions_lw = kwargs.get('regions_lw', 0.75)\n",
" font_size = kwargs.get('font_size', 9)\n",
" bbox_alpha = kwargs.get('bbox_alpha', 0.7)\n",
" FRCC_x = kwargs.get('FRCC_x', 4.75)\n",
" SERC_x = kwargs.get('SERC_x', 2)\n",
" SERC_y = kwargs.get('SERC_y', -2)\n",
" SPP_y = kwargs.get('SPP_y', 1.75)\n",
" RFC_y = kwargs.get('RFC_y', -0.5)\n",
" \n",
" \n",
" fig, ax = plt.subplots(figsize=(8,3.5))\n",
" # set aspect to equal. This is done automatically\n",
" # when using *geopandas* plot on it's own, but not when\n",
" # working with pyplot directly.\n",
" ax.set_aspect('equal')\n",
"\n",
"\n",
" regions_proj.plot(ax=ax, column=data_col, cmap=cmap, legend=True,\n",
" vmin=vmin, vmax=vmax)\n",
" states_proj.plot(ax=ax, color='none', edgecolor=states_ec)\n",
" regions_proj.plot(ax=ax, color='none', edgecolor=regions_ec,\n",
" linewidth=regions_lw)\n",
"# plt.text(x=1.1, y=1.01, s=cbar_title, transform=ax.transAxes,\n",
"# ha='center', va='bottom', fontdict={'size':font_size})\n",
" plt.title(title)\n",
"\n",
" for point, nerc in zip(regions_proj.centroid, regions_proj['nerc'].values):\n",
" text = regions_proj.loc[regions_proj['nerc']==nerc, text_col].values[0]\n",
"# text = '{}'.format(nerc, reduce)\n",
" x = point.x\n",
" y = point.y\n",
" if nerc == 'FRCC':\n",
" x = x + conv_lon(4.75)#-79\n",
" y = y - conv_lat(1)#28\n",
" rot = -67\n",
" plt.text(x, y, text, ha='center', va='center',\n",
" fontdict={'size':font_size})\n",
"\n",
" elif nerc == 'NPCC':\n",
" x = x - conv_lon(1.5)\n",
" y = y + conv_lat(2.1)\n",
" plt.text(x, y, text, ha='center', \n",
" fontdict={'size':font_size})\n",
"\n",
" elif nerc == 'SERC':\n",
" x = x + conv_lon(SERC_x)\n",
" y = y + conv_lat(SERC_y)\n",
" plt.text(x, y, text, ha='center', va='center',\n",
" bbox=dict(facecolor='white',\n",
" alpha=bbox_alpha,\n",
" boxstyle=\"square\"),\n",
" fontdict={'size':font_size})\n",
" elif nerc == 'RFC':\n",
"# x = x + conv_lon(RFC_x)\n",
" y = y + conv_lat(RFC_y)\n",
" plt.text(x, y, text, ha='center', va='center',\n",
" bbox=dict(facecolor='white',\n",
" alpha=bbox_alpha,\n",
" boxstyle=\"square\"),\n",
" fontdict={'size':font_size})\n",
" \n",
" elif nerc == 'SPP':\n",
" # x = x + 2\n",
" y = y + conv_lat(SPP_y)\n",
" plt.text(x, y, text, ha='center', va='center',\n",
" bbox=dict(facecolor='white',\n",
" alpha=bbox_alpha,\n",
" boxstyle=\"square\"),\n",
" fontdict={'size':font_size})\n",
"\n",
" else:\n",
" plt.text(x, y, text, ha='center', va='center',\n",
" bbox=dict(facecolor='white',\n",
" alpha=bbox_alpha,\n",
" boxstyle=\"square\"),\n",
" fontdict={'size':font_size})\n",
"\n",
" sns.despine(left=True, bottom=True)\n",
" ax.set_yticklabels(labels=[])\n",
" ax.set_xticklabels(labels=[])\n",
" \n",
" cax = fig.get_axes()[-1]\n",
" cax.set_title(cbar_title, fontdict={'size':font_size})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Maps of 2001 and 2017 annual values"
]
},
{
"cell_type": "code",
"execution_count": 170,
"metadata": {
"ExecuteTime": {
"end_time": "2018-03-16T14:16:03.765622Z",
"start_time": "2018-03-16T14:16:02.738744Z"
}
},
"outputs": [
{
"data": {
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wGCQ3N/d5jIryYeBnGKXQlmA4+G0BbpBSakKI3wPzIttviZQ+a4EWBLh+ktnAS0pKWLx4MYsWLeLJJ59ssL2qqors7GzGjx9PUVERwWCInJxsJkwYz0UXXcj48adz6NAhHnzwb5x++ulMnjyZu+66i1WrVlFVVdUDZ2RicnKzY8d2+qYnNNtmwthBPPfcswSDwU499tq1awGsUspJwB+A+4C/A3dKKadghEouiFTpmYpROPuHwKOtOoBiaXnpBnqNBv7JJ5+QnZ3NqFEj+Oc//0koFOK6667DYjE+CJfLxfbt27n4YqOerqoev/coikJiYgKJiQkIMQRN0ygqKmbLls2sWrWKw4cPk5WVxaxZs5g6dSqjR48mKiqqR87TxORkwOfzkZ9/mNQ+k5ptl5GWQKI7ljfeeIOLLrqo044/aNAgAGuk6LALCAITMIoKA7wDzMaoCv++lFIH9gshrEKIFCllQbMHUJTmNfBumsTsNQK8oqICu91GXFwcM2dOZ8mSJTzzzDNcc801TJ8+ncGDB7Nu3bqa9snJTZtIVFUlJSWZlJRkhg0bSigUorCwkM8++4zly5dTVFREbm4us2fP5swzz2T48OE1NwoTE5OOc/jwYWJjndisLf+uTh87iEcf/V8uvPBClE4SfDExMWCYT3YAycC5wJkRQQ1QAcRjCPeiWrtWr29egJu5UOqSlZXF4cNH0HUdl8vFWWfN5NixY7z88ks8+eSTFBYWtrtvq9VKWloaaWlpjByZi9/v59ixAlaufIvFixfj8Xg47bTTmDVrFhMnTiQnJ8fU0E1MOkD//v3xenx4vH5iopv/LQ0b0pc3Vn7FmjVrmD59eqccf8mSJQDvSSlvF0L0B1ZDnfSBcUApUB55XX9987TkKniyaeATJkzA7/fj9/txOBwoikJqaiqpqanous7atR+Tl7evU44VFRVF//796N/f8FzxeDwcOXKEl156iccee4ySkhIyMjLIzc1l3LhxjBgxgmHDhuFytaYIh4mJSTAYxGq14vcHWxTgqqqSO3wgN9xwAxdfvJAZM2YyderUDh0/8lsti7wtBmzABiHENCnlGuAc4CNgF/AXIcTfgH6AKqVsUVvsJfK79wjwUChEKBRq1JShaRqlpWUN2lutnTP8mJgYBg8ezODBgwFwOuPYt28vpaUlrFixnMWLF3Ps2DHcbjdDhw5l7NixjBgxgtzcXNLS0jrtsc/EpKtZsWIF//nPf3j55ZdRVZWDBw9y//33s3PnTtLS0gBD+F5++eXMmzePiooK7r33XvLz8/H5fFx88cX84Ac/AOD999/n2WefRVEUoqKieOCBB0hJSQFg7969RDlsJLhjWzWu6WecQjgUYumSJSxZspS8vLwO/a6uvPJKHn744dFCiE8wNO/fAV8BTwkh7MB24BUpZTjSZj2GU8cNrenf2oIFxXqyCfA9e/YQFxeHzWars17XdT76aA2lpcefambOnNFpwrsxrFYLycnJJCcnAxAfn0BJSRHl5RWUl5fx0UerefXVVzl27BiKopCTk8OYMWM49dRTGT58OIMHDzZt6ia9loMHD7Js2bI67roxMTE899xzAHi9XhYuXMi8efNYtGgR8+fPZ+rUqQSDQa644gpGjhyJ1Wrl+eef5+mnnyYqKoo1a9awaNEiHn3UcOJIT0+nsLCEikovcbHRLY4pLjaaC84dx5yZI3nosbd56623yMrKYtiwYe06R6fTiZTykkY2NVDtpZSLgEVt6d+u6FiUpoMJm9vWmfQaAe50OvH5vA3Wv/DCS/j9fqxWK6FQiP79+9eYPrpqHB6Pp8F6VVVxu+Nxu+PJzDTW6bqOx+OltLSMTZs28vHHaykoKKSqqorMzExGjhzJuHHjyM3N5ZRTTiE6uuUL2cSkq7niiit4/vnnmT17dqPbPR4Pdrsdv9/Prl27aswZNpuNf/3rXzidTh5++GEuueSSmrmiadOmcdppp9X0kZCQQEpKMl9uyGPGlKGtHltMdBSnjxVcd911KIrCP//5EBddtLADZ9s1qC1o4OrJpoH7/X6qqjzoul7z6OTxePD7/YBhMgFISUnu0nFYrfZW+40rioLTGYPTGUPfvuk16wOBAMXFJeTnH+K557ZTXFxMYWERLpeLtLQ0BgwYwJAhQxg0aBCZmZn079+f1NTUOq6RJzO1rwGTzsfpdHLDDTfwpz/9iVtvvRUwfmuXX345AHa7nTvuuIPS0tKap9Bq4uKM+b6ioiLS09PrbIuPj6/zPjc3l+Nm6NYza+owJowdzMbNe7n55l/idMZy9tlnt7mfrsRC834m3fVL7jUC/MUXXwRg9eqPmDFjOoqiUF5e0aCd3W5rsK4rcTgc+P2+Nu1jt9tJS0slLS21Zp2maVRVVVFRUUl5eRkff7yW9957l4qKSkpLS/H7/SQnJ5ORkcGgQYPIyclh4MCBNQLe7XafNELt7HPmsmXztzzwwJ+44orLe3o430vmzp3L8uXLWb9+PVDXhFJNIBDg2LFjddZt376d6OhoUlNTOXToUB2t++2332bu3LmAcb1v3ryFWdNar33XJtbpYMK4IWzcfKBGietNWBXQmpHSajelauo1AryiwhDWhw7lEwwGsdvt6LpWp01OTjZCiG4dV1SUg7Kylr2KWkJVVeLi4mo0mPoEg0EqK6uoqqrk0KGD7Nq1E4/HQ3l5BSUlJaiqSp8+fWqWvn37kpSUhM1mY+jQobjdbtxuN/Hx8cTFxZ3Q2rzH46XSksoj//uoKcC7kLvvvpvLL788oik3xG63k5OTw6effsoZZ5yBz+fjnnvu4c4772TOnDncf//9zJ49G7vdzgcffMCbb75ZI8C/+eYbrFaF3KHty/sdDIb449+W4453N2nq6UkUdNRmSu4o3VGOh14kwMvLywGYNGkidrvhrpmens78+efi9fpITe3TpROXYLgXBgL17/bdo/XabDYSEtwkJLgbbNN1Hb/fT2VlJR6Ph5KSYo4cOUx+/mGOHDmCKykdPRwkFPQTDPgJBYM4HA5inLE4Y2OJd7lISEggOSmJ1NQUkpOTSUhIqBH4sbGx2O12bDZbzf/6r9uj/YfDYYLBIKFQqOZ/9eL3+/F4PFRWVtZZysrKqKgoJ6DGcuzYASoqKpq86Zl0jAEDBnDJJZc0m9L1rrvu4q677uKJJ57A4/Hwox/9qEbgn3/++VxxxRWoqkpsbCz3339/zX5r167lyJECvF4/zhhHm8YVCIT4cO1mRo4cyfLlKxo4NvQGVAX0XuBGqLSQlrXbcrb27dsXgB/+8BIcjrZ94Z1FfLy7gbbtdidQWlrSI+NpiYMH81m1ahWHosbU3aDrqIRQ9DAqIRxWiLLq2FUNq6IRZYOkWBvllVXo4RC6FkLXNDQ9bPzXNHQtjBYOE478V1UV1WLBYrFitVixWI3XmhYmHD7e1nht9AGgWlRU1YKqqiiqikU1kgApiorFakOxWFEUK7qioqESCOv4AjpHA25ynMf4x1/u5ZxzzumBT9ekvRw8eJDx48djtVq4+zcXY20hGtPrCxDtMJS2yiofTzzzHskp6dx77x8544wzOjKUThejQoiBwF5/wlR0S0zTBw57iCpZCzBISpnX2eOopldo4Lt27ap53VPC26Dh9+33+4iOjsbrbegh09P06ZNs5EXXwkaJp2oUBQ0bKDbCQFCDikCtHb0wdGQOn3+6s/kDWCKLVQd047FQ11FCOoR0FF0DRUGPhBXrKKAq6NVT9PXVEB2mjsxkx74ijhZXGdkpmkKB4qCT667/BW63m2HDhzPh9HFcddVVbN26lb/89UGqqqqYN/ccrr32Z6aHTy/hX//6F/fccw+qojBn5tgWhXcgGOLev7zMgrmnEwyF+WT9Dioqqvjbg7d3VHh3KS0F0ncXvUKAHzx4sOb1xo2byM0d3uXmktbi9XpJSEjslQLcbrejKAp23UOALjQzKNUC2qDmsawdV/Bnmw4yd3I2b3zyXYttC4JuUOM5UuGnZMtRvtq4lP/7vyVUVFZyLNyHkG4l7/B/ePzxx3nkkYeJj48nJyeHhITjGfB0XaesrAy3u6Fpqja6rrN161bcbreZW74DPPSPfzDslP5ceOF5xFhb9kCpzpXy+ttGBtclS5agKAqzZs3q0nF2FEXRoTlf75PJD7z2D2bjxk0cPHiQc8+d182jUBtMmlbTm50/7HY79lAFAcsJYidWIRxu/HNuFEUhgIMDlaDoduxVVQTUDHTVuHR3VoFTj+LKK6/EarOTkZ7B/ff/kenTpxMMBvnFDTeyetUq/vWvJ8nLy2Pr1m1ccsnFjBo1CrvdjsViwe/3I6VEURRTeLcTTdP47LPPKCsv5+ILxhNlDRDGiYXmXXJrizlHVBQpKSk1EdG9GUvvyGXVOwT4p59+SnZ2FpMnT+LQoXwqKipITEykuLi428bgdMbg8TR+sSndlNu3PURHR2Mtb5ubI9Bjd6VQSMNiaZ+HjK5Y8VviG6yvwk2fhP4cqoqhvCDAz35+PdOmTmHLlq0UlPnx2NO48Ze/IqRGU+rVWL5iBaFggKuvvprbb7+d3bt343A4yMnJ6ejpnXQcOHCA5557lpdeegm73cK8syfRP3MQFqoIktSiAFcVhb4Zqdz7xwcYNWoUFRUVxMa2Lvy+J2kpkOekEuDLly8nIyMjogEZk5ler5+oqKhu8wG1Wm1UVVU2uq2iorzXTmbGxERjr2joL39SoSjs9aaCCgEdKkKxvLr6W6rC0fjVZFAUjpAEuk6MXobbEcPcc85h0aJF6LpOUlIS6enpJ42ffUfxer28/vrrPPfcUnbt3MXI3MFccv44+qYnohEdmRMBhRAaVlRCTfYVDIWJi43hwIEDDB8+nIEDB54wLrDNXS7d5f3R4wL82LFjbN++nYsuuqDOek0Loaq9Q/MNBPxYLGqvnMyMj3djL2jbjcVhtxIIhrtoRC1jbacG3lrCShTFpBkTsBFsup+BUYdIdLu443d/4txzz60R2BkZGXX237NnD8uWLeP1N97k6quu5LrrruvS8Z4I6LrON998w5NPPsHatWvp17cPp+b25YK58+vk/FbxEiQFC5WolBEmCbVOum2DTz/fQUZaAouf/RCAqVOnUllZecKYsCxKxA7eBLpi1HHranpcgL/66qsMHDigwaRlVJSDysreo1n21snMpKQkkN/VEVYtERdjx+Pr3BJWbSEc1lGBNljCO0SMNUyGvo/f/upXXH311c1q2mvXruWan/4Mb1CHoIdAJ5f6OtEoLCxk6dKlLH/lZao8VYwaMYTrrplLYry9mb0MwaZiCDGNhqHlb7//dc3rV155hZycnBrX0xOBltLJnjQmlNdee61OyHk1gUCAuLh4ysqqtcvqS6Dzv2SbzUYo1PIPtTpCNBAItNi2u0hNTUHTwqBp0MpHT5czigpPz53D+i0HmDFuEB9+ubfLj2VVQvRV8rjpphu55pprmm2bl5fHz679OQXBRFJsxbzwyuuMHTu2TccrKCjgyJEjjBgxoiPD7lECgQCvvfYar7zyMhs2bGCYyOSsaYKBA/qAohAmESPFdkOCJKDWsntbKEPDhUp5zbpdew7XvH7ooYeYOHEiwAljOgHDBt5cwirtZBDg3377LXl5eYwc2TCU1+fzEgwGSUhIRNMMP2Rd17FYLIRCISoqyht22E5iYpytCpevrKwgKSmZsrLSmuRaPU11lKIVHyGaDiyojcsZRXlVz+WXOFbiIS6mOQ2uc1D0EIOjDnDZj37ETTc2n+b50KFDzJ13LkV6CilxQW766Q2tFt6VlZWRgtp/Z+XKt2r6q6Yzc9d3NUePHmXuOecQE2Nj1PC+/Oqm83BE1Y2EDKM2qlUbqpWCheNPqSohwtTd/4M1WxkwYABDhw5l4cLel2mwNfSWgg49esv7wx/+wPDhw5q8uMPhECUlxZSVlVBWVkp5eRklJcVoWhi3OwG3O4HExCTi443X8fHGkpiYSHy8u856p9PZzEha/2kXFRXicrlwuRp6Q/QUMTExxIaOtLq9y2mntKJnTUFtciVsD7rGYMdhZk4/kzvvvKPZpjt27GD+gvOpxE1JKB5v8QH+8pe/MDgrm9MnTOSFF15sdL+VK1dy3vzzGTqRvtIFAAAgAElEQVR0KGeffQ6btu5i8PBpADzxxBPMnj2b/v0zWbp0aWefXZcQCoX4yRWXM/yUNH56+VTGjc5uILwBLBQTpmG1eUOYNPwtKQTRalUzs1gs3HLLLTz99NMn7MRxtQbe3NId9JhasGXLFrZt28p5553X5n2NdK+tS/lajc1mJz7eTfUFputhKisrj4d8q2qrbXBer7dXPe4NGZKN79utrSjkZxAbbaessofNQF35w9V1BkQXMDQrk4f/+RD79+/nk08+QQjBaaedVqMwFBQU8Morr/DI/z7KEV88JXpijceEx5rGUT2FQ0f83HHnXfTpk8KMGTPQdR1N0/jr3x5k8dP/x5FgAg49hgS7DXfqMDRNI71fDk//33/wer2k9B3KH//4Ry666KIWg4l6mt/ffTfBYCXTpzRfSV5FI9yk7tdwYk+lvM5kZlFxeZMJtE4UWhTS33cB/v7775OZOaDFUNvOIhgMUFZ2XGipqorTGYuqWoiKiqKsrPUaocMRTUlJ9/mot0Rubi6bNm3GESrCZ01qsb1FVQj18IRRlTeIy2mnvKrzbyQZjlLSXCqPPPwQt//uDpYvX47f5+Wpp56qufGuXbuWn193PWFbPId8ffASBwpoupUiWzZhxU4YO2FLFId1lWt/fh39+2fyndxOXJyLQDDEPj0HCBOv70NRjM9dVVWS+h63fwf8VRw9sIXc3FzeeOMN4uPj6devX68rml1WVsZLL7/EzT8/p5XKSeuvH2MyU0cDCgrKCAaD9O/fviyFvQVF0Zv1QmluW2fSIwJc13VeeeUVhOi5wAlN02rs6A5HNE6ns1WFHGw2e6+bLbdaraSlpaEXHCOflgV4t2Uoa4bici+pCc5OF+AJej6U5TN80jnMmDkLS2wa+8khlW/Zvn07gUCAJ558ip07d3IolIE/UNcUphIiKbgLRbVRZOmPT03Aq8SyP5TJwT0hwvZhFPt8hJUoNNWGTfehKAqDhk2lqqIIb2Ux9qgYnK4+lBbsIhQMkJqeydHD+/nd737HY489RmVlZa8T4M8+u5ScrL644lqbU8bSqB286dYVhElm38HdTJww4YTPMNlL4nh6RoB//fXXVFRUNKjo0VP4fF7i4lw4HNGNlnWrjaoqrfJY6W7GjBnNW2+tRFUDaGrzE4S9weq4edcx5k7OZufBzguOiou2EF2SD8DHX+5gn56DVmlH0Q2zyL+WvIDDbiGt/2D2aALq+aOreoCU0B4cscnEupLRD+/Ea6mgxDqAoHp8DqX2ZLESSb9QWXaUo/s2cPbZc9ibt49dcg2VlRXMmzePOXPmkJOTQ2ZmZq80o3g8HpYuXco5M4e3eh8LpYRJQKX+99f41aUSZG/edl5783PGjh3TaJsTCVVpcPnU5ftsQnn88cfJzs7qVRMYVVWVxMW5WhTgFosVi6X3eRQkJycRExODy3eQUnsLuSR6wefeFSYcm81GzoQLWLvxAFRS8yPSFSv5jrHgATxwVIWrzxvNhu+OIPcX4vEZAt4RLsMVG8tAMdEolxebwN5dG3CES/BZGk7aAfR16fiLdI7t38BvfvNrzj//fPr06cNf//pXnnnmGQoLC9myZQvR0dGMHDmy08+5M7jjjt+RmhJL9uC0Vu+jEiKEo5FIy6af7xxRhrl0woSJ7R1qq1mxYgW33377mupDA6cC04B/AiHgfSnlPUIIFXgMGAX4gZ9KKXc17LEuvcULpdslUWlpKWvXrmXBgrZPXnYlbncCxcUNI8bqExUV1avs37Vp9WRm8zngu43OjsgsLvcR3woTwNHiKpa8vZHBGQlMGZVJlM0CisLRfWEI+kl0x6BpOuFwMhn9clAP7uCoEk1YNVIdK3qIRP0IFt1PtKby2jvvkJWVxcGDByktLcVqtfL440+QlDGU/AIf+e9/zAsvvsyf/vRn5s2by6RJkxgxYkSv0MbXrl3L66+/zs0/b3vOdSvFhHGjUtiq9unpyZw1awpbt2zuctfKCy+8kAsvvHAagBDiUeAZ4AngImAPsFIIMRoYCDiklBOFEBOAB4EFLfV/0ppQnn/+eQYMyOzhvN91iYtztdqvXFEUrFYrbncCPp+fysrO80fvKK2ezOwFGng1nR6R2cqbk6bBroMl7KplwokOl5LCYdxuN31S+zEmN5NjRUnoigIHtlNoHYzVopJqK8RfUQDAO2+vJzMzEzDcOXVdZ+/evVitNmJiE3HEGDb2aPdAPJVFrHj9XZYsfZbyslJ27txJTEzrfPe7Cr/fT3paGivf38Rll0xu074qfsLE1LGFV7sMqjSc2wiTwqRxIf728GsMGDCgjq98VyGEGAsMB24HbpVS7o6sfw+YCaQD7wJIKT+PtG8RVW0+bk7vJie1bhXgHo+Hxx57lMmTm3dT6k5UVcVisRBsZci01+vB6YylsLCA+PjGH6t7irZOZvY0a77JY/aELN79fHen9KeqEGVv/yXttSRxWHPg2bwd+6avUQiRnJzKyFPH4CkroLyikhS1hFtvuJmEhASKikpqhDdQ41mxYcMGqqoqqCjajSNmNAD2qBjsUTFAf9xpsHvzB9x3333cd999HTrnjjJt2jQ2LDif1R+82a79LVTWibRUCaDhqBHgGqARj44FlUpsNpXkpAQuu6zbap3+DrgHcAG1ta0KYHBkfe3E5WEhhFVK2Wyk3kmpgT/66KOkpPQhOTm5Ow/bLPHx7jaZRLxeb6/Lh1Kbtkxm9jTF5T6ibJ1zCYrMJMYNTeed9S2aL5slqDopVLMAw1RSXFJG1bq1VHl86JZ0srOzuPbaazl8+DADBw6ss6+u66xbt45bbrmVgaecgdOV0uRxrFZLr4glsNvt/OAHP2Dx4qfwB4JE2dtWf1IlSLhOMZEwOnZCuDEy3uhYqKixkxcVV3D4SAGXXPIDdF1HURTKysrQNK1OIY7OQAjhBk6RUn4khHBBnYHGAaVATL31akvCG2i04FT97d1Bt11Bq1at4qmnniI3d1h3HbJFXK74VmvejaP3ih9hbaonM1PCu0Br/DrMSI5l/hlDmDN+MFNGZTLmlHSGDkxmYHo8fRJicDntWK1tOC9dh5C3VYtN9+OK0kiLtzAoxY4Sbt1+NUsTJpIRWSn8+70tFLUnN3pTp6VY8VqSGDftfMZMO5+MuDBzZs9m3rxz+frrr+u0LSws5OOPP+aSSy4hEPATE5fU7CR9csZQli1bRkFBQaeNt7288847uOPj2p2nHUDDQpAEwrgADZVybBRjo6RBOtlAIMjMmTP55c03oWkaw4YNIzc3l1dffbWDZ9KAM4EPAaSU5UBACJElhFCAOcAnwGfAXICIDXxzazo+qSIxvV4vN998MxMnTsDlcnXHIVvE6YzF7/fj97f/B19RUV4v4Vbv4KyzZvL+Bx9i9W2mUB2I31pXs8kvrOSNT78jxmElNtpOjMOG02EnOT4GR4qVKLuVKLsFa/2rsFog1ROiXk8Fl11wFonJScedEKp31eu+1nUjp004rBPWNOJiolhwbuuyTpaWFHPrA/8Ga92JyvHD+7Jp59FW9dEeXv34O2aMSkX3lbBp0ya2b9+GxXI8AC0UCrFu3ToefvgRwLCFh0MBVHvTE6rO+HSS+xTywQcfcOmll3bZ2Fti7969/OMff+e6q2dhtbQvqE7BT5gELBS2qBEmJcZxx68uQlUUnlz6Effcs4hNmzYxbdo0brzxRqZNm9aZmrjAmLCs5jrgPxi5O9+XUn4hhPgSOEsIsQ7jSr2qNR2fVF4oDzzwAKmpqTXFGnoaRVGx2+1NFnBoLZqm9ab5wBoSEhK4eOFFrFu3Hn3XbgK4KVQHN5h18fhCNS50HSLk5dKFDnRLc/lmjqNgXHgZCU48viBJSscKEu8/Usrs8dkcKqzonPOph88fYP/+fQzPzWXVKiN/9dlnn12z3WKxcM8f/oDdYXiVeDwerLaWJ+kV1U5RUcueT13Fvn37uPbanzHpdEFSQvsDawy7t9qi8NZQARvOyLztFT+cwj8ff5a9e/dSUmIoQUeOHOk0AS6l/Gu9958DE+qt0zAEe5tQaEGAt7XDdtLlAnzLli28+OKLzJvXdjelrsJmsxrV3DsBXYfY2LhW5y5vS86VjqCqKmecMZmsrCw++mgNUeFvOaZnEexFtTOtVpVKb8cjMQ8XVbHu2/2MyErli62d69ngCucTG8yn5IDKl/uM702cMrSOF9WmTZs4cvgw4rTT6J8dW2PbbQlfINgtJpRgMMiOHTv46quvSEtLY9vWLax4dQWFhUVMGDuEMyef0sEjhGkqIb2GikY8GnYUAoAdOIoKlJVVEgwGWbVqNQAPPvggWVlZHRxL99CSmeR7Y0LZtGkTffv2JTq6Y1pWZxIIBLDb7cTGujrsBlhWVkJ8vLtVgtntTkDTwpEam3VtDboeJhAIEgj4O1XAp6enccklC1mz5mP0gxKPloSmZXda/43x5fqPefk/T7Poz48S4zTqG76x/HkO7t9LWWkx8e5EFBRCIT9ZWdnMv/gnhMIam775L5+ueR9FUYiKcnD+JZeTlNynVcfMzerDq2tlp52DRfPh0o4QZ/GhW+1YLUpNeb/bbr2lTtt33nmH1L6DsdkdxCe1LsdHwO+hovggCxcuRNM0tm3bRlZWVqf9TnRd54MPPuBvf/0Lu3btJjHRTUZ6EiWllbjiopkzTdC/X3KnzOEYya2OSyzD88SNjgXDOl6GjhsLJbz65hd8vWEXl/3wbF545SMAcnOHs3Tps8TFxXHs2LEToirPSWNCGTJkCGVlZS037GYsFhsVFZ0zrkDAj90e1WQUZ2xsbMT2C+Xljd8wVNUw61Qn2KqLYUjWdY1QKEQwGGjT5KvVamXWrBns27ePjz/+lC2fvY5VG0RI7Tof5MSkFLZv2ciY8WcAcOhAHmBUWvrFrcfTuz7z2INUlR7jWHE5X67/mGtv/A02u53D+Qf499OPcuOv7q5jb24Km9XSqT7lfUK7SErpS5++4/lu47v4Q2F80QOIDR1m2rRpddqOGzeOV197q039B/xVZPTtS79+/bjgggvZsUMSHRPN6lUfkpiY2KGxSym57bZbOZx/kBlnDmPh/BFt9i5pKzoqQRIwFBIVC6X1Ji8r0HDhdhnX3MuvrmbMmDHceONNOJ1OHA4HGzZsaFDertfSS7xQulyAr1ixotGKOz2Nqiqdpun6/X5SUvrgcDhQFAVVNYpOWCwq4bCGpoWx2ayRwhSNo2kaPp8Pn6/5SVW73Y7dbicmpra9ubGrRa/pNxQKo2khsrKyyMjIYPXqjwgc3kaFJY0KW9doO8NHjmbr5g2MGX8Ghw8dIKNvJocO7qvTJhQK4fFUER0dw3/XvclZc8/HZjdcH9Mz+tMvcxB5e3aSldPyI/6RokqS3DEUlHo6PHa7VoGiB0nJGILVFmV8p9YoysNOMhOTGlRNNyo0tf4X660soejQt1x//XVceumPKakIMmDoDMoKvuPmm3/Jv//9XIfGv2zZ81SUFXL9NbOwd5KbZstYsFASKfXQkGp3wwH9Uxg4cABnn30ON910Ezt37mTUqFHY7XbOOOOMbhprxzlpTChff/01/fr1rruq1WrtoPtgXTRN4+jR5gsqWK22SD7yjhEIBNpU0k1VVaxWKxaLpSYn+gUXnM8332zgv//9krhQGUfUbDS1c7PjxSckcvBAHqFQiM2bviL31LEcOrgPv9/HY/+4D29VFaFQkJlnLyAltQ/FRYUkJNaND0hISqa8tHUePtFR1k4LzU8K7SNjwAj83nIO5X2LLSoWTyCEgobd3tC3fsWrr6LaW+9d5a04yry55zD3nHP4y5//zCmj56GoKnHJ2axf/z5FRUVGrdN2Mn/+Ap56ajFfbdjNpNNFu/tpCwpBmnv+0XWdPXsPsvLdDVxxxU/4n//5FWA8vZyI9BYTSpc7MRcWFvZ4uHB9YmKceDxtKwjRUUKhYI+UYdM0jUAggNfrpbKyAp/PSyAQ5JRTBAsXXkhCXBRpwS3Yw51v5soRw9j93TaO5B8ko69hG642odz467uJccbiTjDMBXGueErrBVQVFxbgcrfOI+G9L/YwZVQmcydmk5rYOm+YpvCrceTv+5Y9uzZysMKC11OGGqrEplVSWHCsTttgMMj7771PtKv1mTUt9mg++eRTLrvscpL6ZGK1GTdPi8VKcp/+LF++vEPjHz16NM899xzr/ruLUKjjtdEDrbhuLXjQiW2wXtN15K7DLH7uY9794DPuvnsRkya1LWS/N6K0YukOulwDj4+Pp7S0lPj43lOCTFG6xxOkNhaLlXC45+toqqrFKIKM4a+8YMF8XnllBVWeYgKWzv2Oho8aw9uvvURqekP30agoBxdf9lOeeexBxo4exbiJZ/LeW8u58tpfYrPbyT+4nwP7dnPBD65o9fFeWr0Nh93KvMnZeP0hVn+Vhy/Q9s+82DoArANq3rvD+SSm9MdSVsBVV11Zp63NZmP0mDEcKymKhMq3jCuhP6WaApqH1PS6OfEt0Sk8//wyrr322jaPuzYeT/tNSZqmsf27Q3y5YTf7DxTh8/lwOmOYOD6HGWc0XklHxU8QZ40vSmlZFV9t2MvGzfuIcjhYsOB8FEXB4/HUFDE+kWkpF0p3xfd1uQA3cn6rkbwhOlVVlb2mIHB3EhUVRSDQc4WEq2nMW0bXdTSl8y+F9Iz+FBw9zKxzGk/ulpbelxGnjmXlm68xecY8SouLePyh+1FVlShHNJddc2OrJjBr4wuEWP7RDmIcVuZPGcJLq7Z1+DyqrH3Qiw4TG+di2LCGkcQ52VkcWd+qAD4AFFUlISWz0W2xrj7s3bqJXbt2kZ3dPm+h/fv38+tf/4pLF05udcWrktJK1n/5Hdu/y6e42Jhoj3O5iUvKJMPdl8JDW/hw9SaGDE6nX0bz5h2fP8ji59Ywdeo0Hn7k11x22WU88cQTANx7773tOqfexkmTC+Wbb75h6tQpNdGKsbFxWCxWFMV4/OxoMM2Jgs1m63azTWsJhULYtSrs4TICSlyH1YdxE8+sef3/7vlbzeva3ifVnHfRpaQmxXK0qJIx4yczZnznPF57fCG27DnGD2YN581PZYcCfMosGZRZMuirF7Jhw0YuvPDCOtsPHz5KuJMy9CqqSnJ6DnfeeRcvvLCszfsHAgGuuupKzpgwnMx+TQvakKaxeUseX2/ay6FDxfgDARyOaOLik8kcMhynq08dF8NMMYW8rav490ufMPbUwZwx6RQc9eYDFEIUl+m8uPxjZs06izPPnMpll11Ws/1/bruNq6++us3n1FvpDUF8XS7Ahw8fTlVVVU0Cq9oBL/ULDRvaeddWu7Hbe0oT7gXfNtDYOHJysti7dx8Ozy50XUe12gnodrw4qbKk9vqkWE2xbW8hew6VMvv0QVT5Qqz6am+H+rOoKkoj7gV33XUH5557Hq6kAVitHf+srA43eXntG+vvf383qhJi8viGRT2OFpTx+ZeS73YdoaS0AlW1EO9OICl9CK7kgS2OPSNrPPl7vuDjddtZ+9k2UvskkjUohZHDB5CRlsD+gyW8vHwls+fMYe2atXzz9Rf0SYnnWEEZd955J9dff327zqk3ctJ4oVRWVuJyNZzcgIaFhp3OWJyRwI9QKNCqGpVtJTo6mrKy1tZv70x6RxGFxsYxduxYxo410iCXlJSwb98+jhw5RmFhIdFhD8fU7vFk6Ap8gRBvfLqTcyflEBdjp8LT9sjPDN/XgE7IBwnuCxtsF0Iwc+ZMvvl2FwlpHYtq1HWdoN/DoUMH27zvvff+kWXLXuA3tyxAURQCoRAbNu5l4+Y88o+UEAwGiY5x4k5MZVD6aThdbcsKanfEMnDYTMSgRD5b/yWeiqN8+c1ePlm3DUVRsNtsxMbF8d577zJ65GBKyqqorHKwbNkTnHnmmS0f4ARCUZRmo227q9pYlwrww4cPs3v3bkaMaHzioz61zSl2u71Ovm2v19NJmnNPacK9VwOvTUJCQk0uivXrP2fnngOt6rW+B0mbRhSuoqik5Zt1R45xtKSSPgnOtglwTSNaKwYFUvvlUlmcx6xZsxpteu+9f2DipEnEJg7EZm9/sZLCwzs5emALo8e0vm6kpmn89re/5c03VxIMBnn7/a/ZvbeA8vJKLBYr8e5E+vQbjisxE0snVMGx2+0kp2VBWlbN8bd9+Rr+QIBxOX1wuaL5ZP13LFiwgFd+v6jXeaF1BifFJOb//M//MGzYUKKi2v5YWd/fOSbGSXS0cSGoqkJVVVWvmBQ88Wj9k4DL5QK9FbZji8PIEthOzjp9MB/8d0/LDSPHag6H3UpGchzpyU4SXdF1NKGc/onsPtT6zJF9wjuxaZVYbVFEOWKxJ6exZ88eRowY0aBtSkoKp58+nv1HCrHZ2x8cZVV83Hbbbdx0002tau/1ernq6mvYIXfRd8gU8ratRu4qJDa+DymZ44h2dm6O7f7pbgrq3Wx17bir4qefb0cMyWHJkqVMmDCh/u7fG773k5ihUIhNmzYxc+b0TunPmACswm63Y7PZsFqtNQIdwOfz1OSqaJ6eMmX0FhNK60lIcKOHQy1fJYrSIMVrW4iOiW2wv6pCQqwDd1w07tgo4mMdxEbbGk9pW2udP6hxrKSKPYdKWP/twTqhJeefKchMdbH/aCvy32ga1nAFfbPG4U42fNh95SFef/0NFixo3KvmgvMX8Le/PwLx7RPgwYCXyvJiTj311EYDhuqzc+dOrrjiJ6hWBymZY1FVC9kjz25xv45w6Ggpw3PSOHLs+FzW4byval5PmjiRZS+80KX1LnsDvSWQp8s+5XvuuYf4+PgGYccdJTo6ppYNu6rO+toml3DYCNOu7TLncER3KP93ezEmTrt2crYrSEpKNrI2alqXPRO6nHaGZCYzf4piCGXF+K9pUOULUFrpp6TCz65DJZRVduyJ68CxcmJjWvk0qKpgjSY/bwMlx/YQl5CBO2UAa9euajJSMjs7m4C//dWayovymDZ1CjNmzGi2na7rLF36LPfdfx/J6acwbvxYtu/qnsIQcU4HlVV1zVAuVzwVZQUsvOgiHnzwwW6z//Yo3+dcKG+++SbLly/nnHPmdMGX2Xh/Xq8Hr/d48ILVaiU2Ng5FUeusKyrq/gooUVFRvchdsvXfR7Xpy4qPEF1jxyyvCnC4sII3PvmuS/qvTWqik9Vf5bW6fb46lEQtD3+ll6qKLbgSMkhI6sPmzZsbJLQCw1U0HO5A5KMeZNSoUc3+Zqqqqrjhhhv58qtvyBg8AUdMfLcKzLIKH0MGJVNc5qGswlCGnInZ9LMnsvLtd7n66qvJzW3dnNeJTG/RwDtdrcrPz+fXv/41kyZN7NHK86FQiPLyMsrKSmoWj6eK+PiEmsXlisdm69osbVAd/di9kZ9N0zZTjtVqxaZ1PEFU88ewdEttv3XfHmTGmIGt30FVKbYOpsB2CrrFzoFdn2O1WJrMRePz+dqdnlXXdYK+SgYPbuj+V82BAweYPXsO22QeGVmTairedzdffnuQQf0SGZxppEGwWO3EudNwudwcPdp1lZF6E9UFHZpcumkcna6Bb9++ncTERFJTW5fHuS1YrR0LR6+vpYOK0xlNTExtM4+O399yVsATkZKSEp599t+RjImqsVgsWC0WLLUWq9WC1WrDarWg6zqxthCKw4qmGQEgmqZR/36kRv5YVRWrVTV8phVDw24JfyBEp+aCbYLSSh+arjP/jBw27jx63BauhbDrVdi1Kmz4ibGFsSshwqEA4VCwpkCDgh2bzdrktbF27cdEO9snVP2eYlRFZ+bMmWiaRnFxcZ3i3+vXr+fqa35KvwECxZFRR+suK/eRlBBDUUnX3mhrs3F7Pn3TXAzPSWVrpJxdKBRqle3++4DhB960mD5h/cA1TaOsrIxwONzmMOiWiIlxUl7emUmXtIived1Z9ejo6DoBRtB1fundSXXZqmPKQFQ9hBoKo4TCWNGwWTSsqo6qhFAJYlG8KGhY7dH079eXpPT+WFQVVVWMjM+R/9UlL3VA04yc52FNIxTWcUbbsFlVPt6wH18gxOC+bhx2G8nx0Xy8cX+NS5+m6Q1uCF3Fu5/vxqqqXDonlw1frKEo3/B+URQVm81GVJQDW1Q0Fms0qi2WaKebaGdCjftdecEOvvrqa+bPn1+nX13XefqZp0np33r3P1VVyUx34YyJYtd3BeQVFzFy1Klk9s8kM7MfjzzyCFJKFi26h283byZn2HhCSsOsh4eOljMsu0+3CnCA1OQ4vtlyvAKSputN5rv/vtFbTCidLsBnzZrF0KFD2bFDMnx451agr23P7kq8Xi9eb93JqMTEpEgKgLpj0LQwPp+PYLDjpcG6Gr8/gGqx4rc041qm1/sP7D0QhgPtiwy0qipzJgwm0RXNf7flU1LuY/Puo5w9IRuLqrB9bwFhvXvNSyFNY+Vn3zEqI52i/D2cctpcrK303Xa4Mln2wgvMmzeX8ePH16zfu3cv4bBGVHRdAauqKmnJsbhdDlAgNiaKyio/KKBrcOhoGXmHSkFJQYw+j6DfQ7nnKG+++SZfffU1FRUVJKXnMGDoDEJK0wpRd08c5uaksq1eIWmr3UleXl63jqM5hBC3A/Mx6rg9BqwFlmBc3VuAG6SUmhDi98A8IATcIqX8b0t9f28FuKIo3HLLLdx8882dLsB7CqvVht/vb3QiUlVVHI7oSLBC3W8tFAr2iNdLU/j9/k4podUWQprGynW7GqxfsWYHAD86azjxzqjusKDUoajcx+cBK2nRMRw7sJGMrNb5LNujYkhKG8I//vFQTa4Sr9fL9b+4gX6Z2QzN6oOqHjeC6hocK65k2y4jDe3Q7GQ2bM5r9hhKVBIZg8disdjokxSDqlpa9G6pqHDg8xrXZ5TD2WUCPTnBSXpKDB5fCJ//uDlT08Icy9/Ta4oyfPHFFwCTgMlADPAr4O/AnVLKNQLQHewAACAASURBVEKIJ4AFQoh9wFRgPNAfWA60mKRcaSGU/oQV4ACTJk0iFApRUlLSaRWmVVVF72ZNrZro6OgmvUg0TWsySZXhq+6sSd/a0wQCAaNcWy9ySV/2wVYWTj+Fi2YM5eXV27v12B5fiEPhDJIKd5Hc34vd3jpf9lh3Bl9/s4bVq1fjcrm4/vpfEBUdx+Cho/gur6jZCeuqykquvvRsEhLbX7ChMWKi7fgDIQoLCnjm+XdxRHeu+y5AvCuKGFuAZc89R+74uikFyovzGThwIKNGjer047aHTz/9FGAz8CrgAn4N/AxDCwd4B5gNSOB9KaUO7BdCWIUQKVLK5t3VeokK3iUCXFVVUlJS2lQ5piViYmI7LZufrutUVrbFrU9td/1Mr9dPOBxstAJQbGxstz76BgIBFFU1ioj3Il75aAeXzOiZp7WgYrhH6m2YHP//7J13fGNnlb+fW3TVLcmWey9jTc3UlCGEDJNKNpQsAQLskizsJtkNNcACC/mRQChLWWAXwgLLEpYEEgihJUBCSJnUSTK9ylNcxt2WZcnquuX3h2zPeNxkWy6ZmefzcTK+5b2vZOncc897zvdIskLDyov4l9tuA0OgqGIl1rxSevqm/3zG4ykKi4rIz5+ZDsl0OO1mDEDTcuvkFHsdeD12dE0lFk/Q1dECQDIRwWzJ3CQMwyDY08QN73pHTq89F4bXezYB1wK1wO8BcdhQAwwBLjLGPXDKqSPbpzTgZ3QlpmEYDA4OIsu5634uSVLOdMQjkQiXXvpGvN7svKC5NGOY7Nz+/gDPPPMUTqdzVuPOBlXVMBYkYW/mDEbilBc66egbmv7gHJKvNSNJMibzSe87lYzR2byTstoNkzZp0MU8rn7zezh0tHfC/ZPRHYihmHK7uA+Zh6qpsiKyRZZFaso9mJWMaQgEYxw40kNfxwF62v1cftV1ABzZ8ziVtauRzC5E0UQ0EuJf//WTc75+rnC73QCP+f3+FOD3+XwJMiGSEZzAIBAe/vfp26fkjNZCefzxx9E0DY9n7j0g5wuvt4Di4uyaLcuyadYyt3M5N9eoqoq+RA340ztbec9Va7j30T0Ldk1FC6FoQwiyicM7HsFVUIXVkU+g6zDpVIIjex6jqGIVhWWNE54/G3OZTqtjDO2hg/v5wff/k+LiEiDTSeft77iBPz36ezRdRxq2BJsu2MwVV74J/+GD/PbhX2bCNILAjf9wM2Vl5SRTKk777PqaFnntFHoy3rSm6bR2Bomfop8eHuigp90PwHPbHue8C6/l4I7HGAq2Y7MH6ezooKioOOdV13Nh48aN/OhHP7ra5/P9B1AK2IG/+ny+LX6//2ngTcBTwFHgaz6f7xtABRkvvX+68c9oD3z37t2UlpbmeMFsCQVuX6OoqoqmL80y55Sqc6iln+XVBRxuDUx/whwwaUMUi13o6TC1dY2UVK2ivfUwvV2thIPtiKLExte9iQO7nqW/8/CkBjxXnH/BZt779/8AQCg0yLe++VXMisLHPv4Z7PaT/T3DoRAP/uJnfPxfP4vd7qCttYUffv8/ufOL/44siWi6kVXo1WFTqCx1Y1YkvPkOIrEkh4/2Mjg0fsE9mYgQ7M0sQheWNlBas47ldV4GA+dBqp8//emPrFq1iuuue1tu3owc8cY3vhFgF/AymSqD24Bm4Ec+n08BDgEP+f1+zefzPQu8eMpx0yIwjZzsApnweTHgDocjo6GRI2w2+2kFOLnlU5/6NJ/5zKdxu9088cQT3Hff/dx7708A+MEPfkhLSwuGYSANdz13uz188pOfIJ1Oc++9P6W5uZlUKsWmTRu54YYbADhw4AAPPPAAhpEJKf3zP99KRcXsVepygaqqqMbSNOAAfcEYnryZVe/a093IJNERMRBRBSsJOX/Kc0r0YzgdLqpWvwGnqxCAqtqVVNWejMN3th8lFg1T7XvdzF/IHAiFBrFaLBMuhO7a9Sobz79wVDO/qrqGT376DiCTl59IpjEr4yuLTbJITYUHxSRjYGC3Kuw51MV5y0t54vkjiCKsaSyhf3/buKYO4cAJhkKZG2pf11GKKtcgigLO/CpCPRHe8ta3cccdd3DLLbfk+q2YM36//18n2HzpBMfdCdw5k7HP6BDKrl27ZiUhOxkmkzKv7chWr16F39/EhRdewL59+2hsbKStrY2qqiqOHz+Gpunceefnxz0i/uIXD1BRUcE//dM/YhgGX//619m+fTs+n4977/0pn//8/8PjyefIkSN861vf5pvf/MYkM1gYNE0jrcvzIKCQGwLhGJdtqmHX4a6sUwpdWgdmiwUQMAydVLKLPtFEWnRi0oZw6V1IgkGPWA+iDLqOpql4i6pGjffpxKJDNDftpahiJU53Sc5e3wgGo5pdALzy8ou0tjbT39dLaVk5N/7Dzfzkx//Nt775ldEQyoc++knCoUG8hWPDfiPGXBAEUikNWRIxySL11QVYlIzBznfb2LG3nXhSpchrBwPqqwoYisbw73wEh7uQjmMCgd52JEnCXVhLceVqRFHEW7Ycw9CprXCzfft2kvEhorEC8hwWYCWh/ma+/OWv8L73ve+M1P1e6syLAXc6nXR3d83H0PPCqlWrOXDgABdeeAEDAwNcffXV7Nmzl6KiIsxmy6QLmNu3b+e73/0vIPMF+tCHPoSiKDz55JNs3nwRDocDVU1TX1/H3XffjSyf9I4kScbpzMPpdA5rnydz+tQyEaqqktJMS9aAhyJJdjZ1s6K2kAPN2YqOGZy3aSvKcCHOru2P44m1IEsiqHEcDhfpdJry9D4MycyQ4UK1FNPWfJDi8ol1RxLxKIIgUFQ+cXcdXddJp2KcOBFHFhRUY2aLkmpaQ1FkksN51CMhFP/hg/z8/ntHUwxPD6F4PAX0949dNH31le2sW78RUbAABroBlaUeOntCo3HsIq8dl9NKSaEJu9XE/uECnGKPSDqdIhkLEYtGKCgspaa6ht27XiYa6mTL5W+mvTeNYrZgs9mprq5BTSdobh8YLaF3F9YRC3Xxu9/9jne/+90zeh9e05zJaoS33347W7duZcWK5a8JbYQVK5bz+9//nvb2dsrLy1m9ejX33PN9amqqWblyJfv27eXuu780GkJZv34D11//dkRRHBMHs1ozmQyDg4OjC6SGYaBpGlarZcxipqapDA2FEUUBRTFTWFhEMnl62qVxyvE6qpomlUrNOq9c0zR0cp8BkUv2HO3hvVeuyc6A6xkDdepjf82ytbQe3QuCwMq1GcOu6zonWg4R7O9GTAQIacVYp1hTyXN7MQyd4weeQtdVdC3zo+kaximhjSOAp6CY8oaZNWJOplVMsjRqwEfwLV/JmjXrePihByY877x16/n2N7/K1suuwm63c+zYEf7w+1+z6fwLM5WdBsTiSY6fCIzJA+/tj7JuRRmarrPP3z26PZWMIooi6y+8ilCwD4vVgdliZdPF13Boz3M888QfqD/vakAgrWZSYd35GSdEFAWWVRdgVmR6W0T6+hZe5XMxEQVhGi2U13AMvLKykosvvpimpqOsXj23/F6r1UpyDhrL2V7DMHT27NnLmjXn4XK5SCQS+P1NrFmzhn379vK5z312XAhFHxZ2Glms7erqIhaLUVBQQG/vWE/pxRdf4vzzN40Tutd1nUQijtlsIRSavFuMKIooihmbzT56Izl5m5/YGGmaNjxHDVXV0DQNsx5GSOsYSOiCNPx/GV2Q0JHRkTGQFi6Idxqqqk+4mDYRMhl98FMXyz35xXguuGLMcaIoUl23CrvDTdOBlynJi2ESx2uKjI4ry3iLKlDVNIqSh8lswWy2YrbYsFjtWMw2RFnm6OGdRMLTJixMyGRf7ze/9e3c8W8fn7CGIi/PxXXXv4tvffMro87Drf/8ESwWU0YQbAp0wxhjvOPRIJ1H92cKuwCX52Q4SZYVisvqOd60CwCHu5xXXvkrNquVZFcbrnyd3ftC2B0FxJNpUmmVyspKziaWSB3P/DV0uOOOO3jTm95EdXXlnHKdFWVqw5Yramtrefrpp7njjs8BUF5ezo4dO/jbvx3fxHaECy64gCeeeIIrr7wSTdO4996fsmXLFjZu3Mjdd3+Jq6++GofDQVNTE7/61a/YvHnicm1RFKf1qkcMPWR/M5MkGUkSEUUJs1mhpqaarq5uND2KrmmnGHgDQ9fHhHASpmIGpMX5Uiqm7G4ekp6aUaaTI8+DYehEQwFWnDe11+xbfeGU+wEcTjeB3ux6hk7GipWrWbHypH622Wzma9/87qTHr1mzjjVr1gGZz02ew4ym6QxFp252sffwyZCmrus0H9yGxWqj3rd+wuOHBruw2pwkYiESsRDJRIJkIoEohgh0H8vMfeObSSWjKLLIpZeOWxs8oznjDXh9fT1veMMbOHLkKBs2TPwhyYaFeiNWr17N7t27M30ggTVr1tDW1obJlHmLTg2hAHzhC1/g3e++gf/+7x/w1FNPkUymuOiiC0eN9Hve827uvvtLo57S7bffPum1Mx17ci+GpWkqp/YXmOwGcjq///0jdA/lpmgq5+g6IikkI43FCI16kBZFxuGwYreZM3+nEZnEYWRRJJlKE+pfgcNdjt0xdy3tPHdhJrf+lKewhcTlMDM4FGemSyfp0BEMDNaef/mk806n00SGBjm6769jtt9yyy0Eg0F++ctf0tmyk/q6OqxFRbhci6NNvlic0SGUES677DK+853vzGmMSGQIl8t9Shu1+WHTpk1s2rRp9PfNmy/ikktej6pqfOlLX5rwHEmS+PCHJ24+u379etavz+7GpSimGZb2zy+6rqPpMosVLj/adJh68dCwcczEnfVMPuboMSOa5t7CEuqqikilVaKxJB3dA6jqxDkshflOrrjiKvYempvXPILFmllgTCejmK0ze8o8PRNlpkiSSFrTZ3x+X6ef3vaDNK66cMqbTs2ydVhtx4hFwkQiISRJIh6P84Mf/pDnn3uOwMAAf3n8cXYGOrjxxptyLh39mmAJZOTOqwF/9NFH6enpxjAM9u3bz86du7jxxr+fkf6HqqqZ2K3ZsgjKfiNK1/N8FWEpdezJxM415r9T0WQcbBukIBWlqKSaPHcBJsWMSbFiNluRTco4w3O8Lbty9sBgFJttdtWKEyGKIrIsEx0KzMiABwcCdAw/2SXTM3/SUUwSJpPMYNAgnhj75BYcmLgIaqjPT1rVCPWfoLCoDG9R+ZTXsFidVDeswzAMEvEI/T3tDPS1E4tFeeWVV/jRD3/I+vUbCAYHeOMbt8z4NbzWOeNDKADnn38+27Zt48UXt9PUlOl5+NOf/oyiokLMZjPLly+nvLxs2nEikSE8nvwlJc2aW5ZWlaluGIuqmZIUXdhdhUTC/TSs2JgzwS9d18eEwXKBxWIlFc/+6dBssfO/P/8zogj1lV6OtM58EdRXW0gknqSnPzLh04bZYh/zeyIWpvX4AWw2O5qaJr+wKutrZfLLk7Q1H8Rmd+Jy5/P8889z+eWXEwwOAJlw6dmGME0IZaFE6ubVgH/kIx9h7dq1vPe97wXAYrHg9Xppb28HYGBggHe84/qsxgqFBnG7PQwO5mZBs79/+nLtuYhY5eL6i4Wu64suenU0XkaZuo+O1kNU1OROqTDXsUnFbEFXs68SFgRhNMXPf/BVhiJJ1m7YTPdA9msgeS4Xrd3dyCYbchYPSsG+FqxWK+svujrra5yKy+2l3reeY/5dxKJDPPjgg2M6ElVXV89q3NcyZ4UHDrBlyxbsdjvRaJTq6mo2b75wWEM7NqOmx7quk0wmsVrtxONzq8p0OBw888xT0x7ndLpmLSOb7TyWIrqmYTLiWNU+QMBAxEDAmORTKYwJxI59mhAyZyKgIRg6Ajri8I8sgSwy3MotcxVR0BEMHV3QSasCrccPEY/HqKlfg0mZe/gjGIpQXuymoyc3ayoms4Po0MxvxrGhAY4fa8Jms/PEnx7A5c4nz9uAq+Ck3EI03E9fp59kbAB7XiEVDZlF6BGlwGxJRPtxe+YmX1tSXofV5mT/rm3AyfZ8H/nIR87K+LcgTKOFciZ44JDRoB7pJdnS0sLmzZnFk9kYr3g8htvtIZmMzylmLAjCtKmNsmzCbDazsH1ilgaqqmJjCAeRzCKZYWCMGOZT7bNw+j8n+NAKJ4V/BFFEEIVMWzpBAEEEBHRDQNNBNQRUQySliehI6IITk0ljcKCHl7taueD112DKsunCZASCUarKC3JmxBWTSGQWEbDutj0UFhbRuOYShsJBuk4cov3YK3S37saRl08kHCCdTuPJz8dbtYy2Zj+9ra9S0XAB0Vj23rphGMSjYcqr5ibIpaZTo8YbGM2aisUWtg/nUuGs8cBNJhNerxdJkujp6aG/v39Mt+2ZMjgYJD8/n4GBgRzOcjxTdeE50xFFkYBRSkwumr+LGIwP/Y9odJ4WvYlrAQqEFmx2O+n03G+obR0BSovd1FYW0nxibhWE8Vh0nADUdOjpCLFIkMuveCeBkIYzz4Nz1eto8Km0tRwiGu6nvLKR0qrG0QVbUTbTenQvb7y8kEPHsp9zPBpE13UKvNOvNU3F9mf/MOb3L3/5K3zoQx/mggum7T52RrJUPPB5D3Sm02ni8TgXX/w66uvrcqL3EYlEcTonr6TLBZnimoXxvudbA2U2GEshR2qYItMgDkdeToz3CF09g3T1Blm5bG6GzV1QRjgUQNezWytZ3VhMT9se8lweAqGxxVuiLFPTsIZVG95Iec3yMdk2xaU1aJrG0aNHZ/S5TA51YrXaEE8Lc8z0s13bsGbM7/39fdx33308++xzMxrnTEEUpv9ZkHnM9wUkScJms5FIJLjkktdTWDixAtxMSKWSCIIwRhwq9yzMX0BRFNKzSCWbT4xFzkI5nZ6Uh6GhMC1Hc9vsIZFU6Q0MUeCxT3/wJBSX1SJJMoGupqyOD4eHCPT3UFW3evqDhxno7+blZ/+Qqbx0ziyEFA724HSN7TzV0XaEF5/+Da++8CeONe3OypiXVTVy8da3j6lQdbhL+NnP/o9wODyjOZ0pjHjhE/0sFPMeQpEkife///08+OCDuFx5w3HluRMOh8jPL2BgkrzX1wqKopBILK30SMMwJl2wHD4AtHmes2QZDSQm5XziFhMdJ5rQNJV638acXWYwHKW6wkthgYu0qtLROUBiGl2RU4lFw6hqGlve9N2dLIrMnh3PYrHacXmyD0/195xAkk00nHcVJouLeo/CsSyaXui6TiQSRrHY2L/rWVKJzFpUMhnH6SlDkk10tx+jqKQaZ152zcfzXAXY7HnULluLy1NId/tRmpqaxhTBnQ2cNTFwgJtvvpmXXnqJhx/+LZdffhmFhblp6BoOhxakSnM+kSQ5Z70+c4VhGFOLWWkJvvWZv8PtmbpxwmwZDA7wsa/cB/JJbzOoOlE8q+ju2E9RaV3WBmc6VFUnFI4THopjVmSKvC7aOrN3Co4e3oHbk4/dOX1/1RX1XnY810bDipkZO0k2IYgioijS2TtETYWHylIXJ7omz5By2s2U5ps4vEMgHApiUmxYHEUIgoDZoVFWtRZVSzHY1zojWQHFbOXyq6/D7bJhGAYHdtrYuXMnGzZsWBQ5gcViqcTAF8SAWywWfv7zn3P77bdz+PChnBlwVVVRVRWLxTos9JQbRFFC0xaqdfvSiTWfynS9M92efAq887jIOQE9MQsVokQyHsmZAQfoH8g0UnY6LMQS2Wd4RCMhhkIDrNpwxaTHOO0KQ9EUNeVuHnv8z8gmhaKS7AtpIFOyn4xHOfjKb5FNFuBqKkvdbFhVTjSexH98bDFQideJr76QZ185zsrzx7Y6SyVjDPa3MRg4QTIZQZLkaQ2vLIqUlnhQFAmMTCrmsZZe4rEIZquLb3zjm1xxxRXU1tbO6HW9ljmrPHCAD37wg/zmN7/h2muvyem40WgEjyc/pwbcarWSSJyd6VEwsqi6NL0pURRJpadW3pstbpeNYy3Zd5lvPboXtycfwTRxSqrXY6Oy1I1hgKJIRCODo40nskXXdYKBbqrrVxEeDBAebm92omsQb74Nu82MIouous6m1ZWkVY1AKMYz249POF7LoWfQ1HRGP1zXcTgnbjye77bjcWfWBnTNoKsnSHAwyM6XHgdg85brGAoP0NvdCoDdbmdgYID8/Pl5KltqnFUeOMDzzz/P61530ZxSCCcjGBzA48kfLe2dK7JsWsAUwqWXgQLM6MFA13UeefgXdHe2Y2BQW99I3bIV/OLe71NQWDxcdixyw4230NfbPeF2lzs7j1qUJNKp+THgM21Eq6rpCbOhasrd5HvsmCSRHQc6RsvdS2s2cnTvX+jpaqG4tCaraxz37yI82E8o2AcYuAszVY9rV5TiP9ZLKqXTWOdFkkR2HuyYVMgLoOfEQdLpJBe8/m/GpT5azDIlRR4kKfMehMLxcTczq83J8jWbObzvRY75d9Lb1Yrb7ebjH/84999/P8uWLWPLli1LtkAtl0yXabJQWSgLZsAlSSI/f/o44WyJx+PY7Y6zNnc7lxiGMW0I5VQOH8h0wLn5w58C4Mf3fBOzxcp56y/gre/4OwB2vfoizz/9OI0rz5tw+zVve1dW1xJECTWde+ldyHSZUWSJlJpd+ExRTKiaSmOtF4fdTDqtoek6oiCw93AX+W7rGINqsTqx2t10tx/L2oAPDvQgySbyi+oIBzspq17DhlVlNDX3ExtumXbw6PRPDaqaor/LT2XtSmRZQZZFyoo8mJRMemEypdLeEUCdJiOloLAMUZTo7cp43oIoc8cdmcbKpaVl/PznjTQ0NCyJeLjP59sFjCwUNAM/AL4DqMDjfr//Lp/PJwL3AGuBJPCPfr//6HRjn3UhlHe+8508/PDDbN26ZV4eLxKJOC6XB1leeouCr02y/wK63G6OHN6P/+Be6pYt56ZbPkLz0SYGT8kQSiYSyKbxaZ+TbZ8MQZDQ50mfpul4Nw01xaRVjdb26UWmJElCMHQ6usMk0yqqqmNRZFRdR1V1evvHSj6kkjHi0UGWr96c9ZzWnn85h/Y+R2/HIWSTmXWrqtnr757S0x5zzUSMULCDge4jWK02tlz6BgBUTaOrN0RqBhk3o3PatJVgoIv8wjLMFjsvPv0bALq6OlEUhc7OTioqKqYZZX5JJjNPaX6/f8vINp/Ptxt4O3AceNTn820AagCL3+/f7PP5LgK+Cbw1m2sshdWrBTPgn/jEJ/j5z+9nYCBIQcH8xMlCoeAZkVq4FJiJB15eWcO1193As089xv0/+T6rz9vA2o0XsnfXy3S0tyIIAp78At76jr+n40TrhNuzRUPMumhmNhxt6aHIm4evvpTgYITewNCkx5rNFgIDQaLxk08EU6UgdjbvwGpzUFA0ffFQIhFj36tPohsGgpDJVqpffRmiIExqvNPpBOFAB4lIP6lEmHg8iq7rmEwKLpebWt8GjrVmH+OfDJsjD5sjj0Q8iqamueD117L75b/wzne+k4qKilGxusXk8OHDADafz/c4GTt3J2D2+/3HAHw+32PAZUAp8GcAv9//ks/nyypFaFQJYor9C8GCGXBRFHnLW97Kzp075s2AQya1MC/PRTg8WxEqEcM4+/RPxpO9Ae/qOEFFVS3/eNsnSadTPPTznxDo7xsTKjmVybZng2aI8+aBj9DbH6a3P0xJoYvqCu+E3nhwoIfeni7M1smLgKKhPgYD7SSiAZKJKLqusXLd67Oaw6G9zyNKJjyFtaQTEQpKGrh407LR1mhqOkU42EEq1k8yFiYWi6BpGrJswu5w4HR7qahdRX5+MaKcu695MhFDEETS6SS7X34CgOWrL0JRFL70pbvH9XxdLIaF8r4B/A+wDPgTcGq+8RBQB+RxMswCoPl8Ptnv90/5ITvrQigA73vf+3jggQdYtqwBm802L9cYaXFlNptHH6NmgtVqXjDdcVk2jelUvxQYqcqbSSm9/+BeIkNhrv3bd2MyKXgLi+fti6zqwrxJ/J5Od1+IZbUl47d3HOeYfxf53lK8lesmPDcc7KKt6UUsVjs2ex7l1csoKKzI+n2RZYW0oVJYuowSr41EpI9HH/0DsWiQeHQIVVWRJBmb3Y7F5mLZ8rUUlZQzFJ2f9YER9u18huRpGVqiPsR//dd/IggCTU1NFBdPX9Q03wynNN7n9/sNoMnn84WAUz1HJxmDbhv+9wjidMYbTsr2TLV/IVhQA97Q0MDKlStpazvB8uW+ebtOJDJEfn7+rAy42WzGMAQslswNxjAyMrbzYdQVRSGVWmoGfDgrZgYuxOu3XMnDD9zLf3z5cyiKQkVVDTV1y+jqyE3rslNJ6SKaNj9ZKBORTKVxOiwMRRL0drdhNlsRRQOTSaGs/mQseyjYTU/7/ozioiCRTsWxWG1s3Dw7De6GxnXsfPkJmnY9wv5UpnmzzWbHYs+jsKQGb2H5qLyuKMLyhnLaOuY/dLjhoqsI9HUQi4ZpbznMxo2b+P3vf4dhGDQ1NdHQ0LAk5GUfeughyMSz/8Xn85WRMdRRn89XTyYGfhVwF1ABvBn45XAMfF8244uigDhFqslU+3LJgj/vfPazn+U973kPVVVV2GxzkwadisHBwVmlFhqGQCg0tmmE1WrF5XJz+n1V01SSyQTp9OyMsCzLxGJz0zbPNbo+koGR/QdQNpl459//07jty5avGretoXEFDY0rZjs90rq4gEVWmRuaKIgYWoIjB19BEAQMwxi3EB/sa0VNx8lzedFUFclsIb9w+li3y2nD6bCgDGt8j4yqal7CoV7Sqo63qGK0/+bpKLJESZGb5ra+ce3V5gNRFLE7XOS5vSSiISRJ5Atf+AJve9vbWL58+ZIw3gDXX389d911l9vn8z1HJlf3/WS0oe8n0+31cb/fv93n870CXOHz+V4g8/b/Qzbjn5UhFMi0WbvyyivZsWMnF1+8ed7SjXRdJ5GIjzaTmAvxeJx4fHyhkCTJOXFLIAAAIABJREFUWCxmbDY7pxu8jOeemPIpYCFFb7Jl1DguwbkB6JjQFjDLqL1rgMa6UlKxPiRJZsWmt6CqKXQ180SmqimO7f0L6XSSgqIKlp8i9jSCw27B6bBgNStjPyYGRKJx+gPhCRc/i8uXTTm3ogInTqcVNa0tiPEe4cihV4mEM05Of18XL7/8Mlu2bEFRZiarO58oioLf73/PBLsuOvUXv9+vA7fOdPyzMoQywuc//3nWr1/PBRdsypm41UTE45nUQklKzkvcVNNUotHJxhWxWs3k5bmGDfV4A28ymZZc2qOmLe0FXF2Q0fSF88ABmo530dXWijL8WZVlBYYLYTqP70QQMqEFr7eAfLcDkyyN+XPHEylC4RhdM+idORUOm5nG+lKGInGONPfkZMyZsHbTVrrajxGLhknEI1RVlHLJJZcs+DwWE0E0EMXJi/CEKfblkkUx4IlEApPJRE9PL1VVlfN6rcVLLdQn9dxH8HgKMJst2O2T/RkEwBjWfEnPKqY/U7K90Q3mqOp1pmNrggljEW4y8VgE3Ti5yNvXcZhg73E0Lc3Wy66kqqaBoWiCnv7Z5VbPhPqaYnbua5nXa0zFgd3PMjjQi91uZ+vWrdx8881L8mlyPjlrQygAVVVV3HPPPdx+++3zbsBh6tTC/Px8DAMSiSS6rpGepyq/idB1PavKUVmWMZlMw978SMhponY2jO7TNB1N09B1dfj/+jjd50AgQCQSwWw2YzZbsFjMqNlUIUqWjFpgLtFVbFo/EhqyqFFikpAFAVnI9NHE0NGHX4++gA0wREGgtroQm2kNTz7xOId3/B6GO5LXNyxnw/mbGYokaTrePe9zkWWRuqpi2rvmtxvVVMSiYULBPj7+8Y/zwQ9+cEmFTRaSszqEArBv3z5KS8enaM0HJ1MLLeOySVRVGzXwkmTOmZ5KLhlRXZzKmz8dURSRZRlJkpBlGVGUxgnw/OIXD472Njy1K5AoirzlktN6KM7EaI5cwzAy/z713NN/H97WeXw/nccCOBzOjEKeJCNK0rBanoQgypkScEWhoa6GGbSFzBpZFslzWLFaFTq6MjFeq9WEx+XAMKp5+7tu4sD+vcTicUrKM+XibR0L83mRZRFfXSmHjnawQI2ixpFOJTl++FXuuusuPvCBDyzOJJYIojC14vIZp4VyOr29mUewhSISGcLjyR9nwEc82tkX/ixNdF0fNc5THVNcv4Gd7cKpGwGD9mez6zAzVwrU45iJga4iiCJrL7hy2nNKSoo43pZ9RaEoijjsZuxWMxazCeH0b5cBCJmbeTSWIJFIU11RQGt7AMVkIhSOcny4gtHtrWRi/b75wWpRKC/xIAhwoKljymNFUcSb78BhtwwH3yDfZaerJzhhA2dvvhNV0xgMZae82d6yn7+59pqz3njDWR5CAdi5cyclJQub8H+6amFmAXHx8rAXu+LTMAxUbdh6jbCAIkRWtR+zGqS4vBZZkieVNj2d5uN+WptbhlM4k6TTKS66eAtlZRVjI0vDL0vXDWLxJEOROF290y8kul02Rv40pcVuurM4Zz6QZZHqCi+Hj3ZOekx5qQezYkIg8zoHBqP09p+8ubXJIsVeF6VFbkwmCZMsjb5Fg6EoVotCYb6T5ta+KYWsgoFutHSCL919d45e3Wubsz6EsnHjRrZt24bJZCI/Px+7fX4qM08nHo+NqhaKorhoDYUVRVkS2SelXifV9SfzlUfzkHUDVdVQNQNV09F0HU0z0HQdwxhWLDSgs3+InoEZpmnqOjIJPHo7hSWVNPjWz+j0l17Yhi5IqJhJaSImI8n2F59n7aY3zmwek1BS6KbpaCcupxVJFBgM505rfiYUuB30BSbuN5nntFJe7KGzJ0jHUHDCYyDTcairO0hpqYfunsEJlRZFUaS+upBINDnhDS4WHeLgnue5++67z9qY9+kI4tS+zlQ6Kblk0Qz4F7/4RT7/+c9z6NAhXnppO3V1tVRUlOP1eue1GCCRSJCX50KWZXRdRxQXp/DAZDJNG+KYbwzD4JldJ0jI4w2wLIsosohJljBJIiY509JLOq0C7dJ11fzyyYMzum6Zug/0NIrZSkPjzIz3CElLJX1pN0hg1oJI4WMcPbyTusZ1c6otUBQZXTeoriwkGk8y0l1uoePO1RVeREGg+UTf6DZRFCktcuFyWgkNxTk0hWd+KjqMxvQn3K/rHGnuId9tx1dfSuuJvjF56RZrxrnavDl7FcUznbM+hGK1Wvna174GwMDAAF/4whd45ZVXSCR2s2XLpSNiNPPCqQ2RJWlxdIszTSMWvwpzMs0TVdWHVe+mfko4r34WbdUEqKxZTlXd+ErNbDAQqCxy0jccEk5KHoJGFXS30ddzAm9ROdGhQVKpJJte96YZGfRUSqXpeEYwqrTYTTSWzFq6NZfIksRQNE599cn3V9cNUimVYDhG1wQx7bkyMBhlYDBKXVURmq5xtLmL8EAXA/0d1NTUsmzZ1IVFZxNnfQglHA7T29tLVVUV+fn5fPvb38YwDD772c/y1FNP8cY3XjqvuaWhUIji4lICgb7pDz5DyTQvXvj8XdWQiUYmDg1ki+m0G29cLiKue3Fpbei93SQMCxY9QSIexWafuOXZdBR4HOw/PP/SqBazTGGBC8V0Mj5tGDqJZJre/rHvU2NtCU3N85uyeLytl3Cwi327XmDr1q3c8W8f45JLLlkyZfJLAUGcRk72TA+hjGSgHDx4EEEQsFqtKIrCJz/5SR555BGam5upq6ubt+trmkoikVgScejFZCaqg7lCxUQyEaOv5wRDoQCyyYzJpGC22Mn3Tp9aKggChq6TkbQ4BVEkJNYQAkQ9RUl6H5HwwKwMuCyLOXcg7DaFfLcTkykzb7tFIZFOE4+nsy4ACkXiNNaVEAgOEYun56WEPhYd4njTXr773e9y3XXX5Xz8MwGBaUIoCzSPRTPgkiTR0NBAb28vTqeT/v5+NE2jp6eH++67jxtvvJHu7h68Xi8lJSXk5c3Oi5oKw9CXXCn7QmIYBsYiNC/WUIjFBmg68DJIltFCHUNXOW/T1uk7zgsChqExzoAPk5duw6H1IskmzJbZLY5XlhbQPIvmB3abGXeeDbN5fJeheCI1xlDLskhlacGMCnN6+kL09IUozHdSXeGl6Xj3uAKtuTLQ28w//dM/njPeUyAKBqIweQLEVPtyyaKrrxcVZWJ8lZVjKzK3bdvG/fffz4svvsgzz2zj2muvyblHFA6HcLk849QHzyoWoQI6KhdiT/UTlbyETDWZjbpOWWonZsv0CpUCAolkioK8PALh02R+dQ2H3kdt41rKKhpmPcdkKo3dZiYSGy9foCgynjwbdpsFBHDaLURjSXTdIJ5IEQhGCAaz+0zF8szEYzPv49oWi3Cis4ea8oIxC50Wq31O35PMk1EHN99886zHOCuYZhFzob5Xi27AJ8PpdHLrrbdyyy230NjYSEdHJxUV5Tm/zkLp9i5VFsMDV0U7nco6EE9+/AQy6W2H9r6IolgwW2x4vCV48sfWCrz0zO/RtDQ9IY1Vq4rYtrttzH4RDQwDd/7sawwkSaSitICBwSh2+/jF9HRaYzAco2c4Pi2LItVV3tHiongswg1vv5r8gumbeFvMCslUetbprLIkIcsSiWSKgUCAB379Z6y22XeFD/S1s27delwu16zHOBs467NQZoKu6zzxxF9pbGxk8+YLc+qJJxJxnM48hobmtqg2cxb/xpExGos0D3HsR89AIiIVkYgkMBs9CIZGMNDNxs1XjTnObLURjScZMDw4rONzknVRwZCsNB/Zy6q1F89qaopJJp5Icbylm2yCE6quc3pNVn5BAUVF099EBMBiUeYUyzbJEooiYzLN/evcfGQfm9a9Y87jnOmIwtTr/wvlFy5ODt0EBAKBCRsj9Pb2sm/fPnbs2AHAoUP+nF7XMFikPn6LU0B0OjNdxLSnu3GnjlGUPkSZeoB4NEc3PlEkbKpiQK5DMDSKSqtZf+EV4w5bte71iHoKW7wFWRo/d2f6BIKeIhaZnTSCIkvUVRWy7/CJrIz3KLP8whrM3VtLqxrRWBJRECgrmWb9YApGWqVt3LhxbhM6CxAEY9qfhWDJeODpdJqBgYFx/fS6urqIx+PU1NRw3333cdlll1FQUEBxceGcr+l2e0gmEwsuYLWUFk6nM+CinsCrtSALBoKhgp7C4cxDURwMBvsZ6Gom060qN9j0AKIoUbts4oIcRbFgc+ShxcfHjWU9hlProbyqkaqa2XX9KS/N50hLbjW2dV3j/vv+j/YTJzAw8PlWsGLFSu753ncoLi5FFAV0w+Atb7kOk8k0uh0gFovyjne+mw0bN5FOp/n5/f9Ha2sL6VSades38Pbr3zl6nWQqTTAUYaWvjoPT6KacimEYDA70cmjv87ztbW/j7/5udg2nzybOhVBOo6Rk4vSxxsZGBgYyBra8vJzvfOc7fOxjH+NNb7pqTsU+mTJ6ZqTwlytMJvOs27DlnqkfwuxaL2biFBSUIMsmKqrqyXNlvLyXX3ySaHiAXBpw0VDRdY1Xnn+U5asvRDFbMZutyKZMuGRwoJfo0CD9yspx51q1AIIgYrXnzVrTJa1qOX/83bN7N4Ig8JnP/j8Avv61L2OxWrjgws2878b3IwiZWHg8keLggf2j2wFCg4N8/etfYcPGTfz6oQcpL6/gxps+gGEY/Od3vsmrr77Mpk0XjF4rHk/T3TtIfXURx7LIojF0nRee/g0Al112Od/73vdy++LPUJZKCGXJGPCJ6Ovro7CwcEwH+6uuuorrr7+ep59+mksumV2MExa3lN1kkonHF7cK89VXMyEpfRoDbtZj2PPyOG/9+DJqhyOPgWB/TucVMZUTkwopSR/g4N4XJpaxFRVU0TbOzYlLBViIcvTQqyTiEapnWOlpt5nxuO105lhv2+PxsH/fXvbs2cWKFav42O3/it9/iEB/5r3LqO5O/I0PhQaxDmfmvPrKy3z9m98BMsffcuttmEzj1wEGBqMYBjTWlxIKx+jpmyKcdMp1v/rVr8z2JZ6VLIUeFkvagLe0tCBJEvn5+WO233HHHTz44INEo9FZS9LabPZF0/4WFqpMawJ0XefJJ5+ivb2TmpUX0Xl86lBOVPKihFoYGgrhdI7NTHDle+nqbMMsDZAU3TlTMtRFhU7zaRopuopMCtFIowoTt+FTRRt94nLK2EcqOfMnq5pKLwf8HTOLfY8wRcizpraOd7/37/nznx7le//1bTZtuoALN7+Ol7e/SGtLC5DJhvrghz8KwMvbX6SlpZn+vl5Ky8p5/wduHj5mbHGRZYqUy2AoSjAUpbrCi8NuIRIdm26ZiEcJhwJYrXZcLjff+tZ/UFY2fRPmc2TIhFCmaKl2zgOHVatW0dbWNs6Am0wmKisrCYeHZmXAXS43qdT8tydbaqRSKR599I+Eh6L0Kj42ldfB8al1v1OiHQSR7s4TOH1jDXhxcQXdHS0QbAYNZGsecdlLb8KVe1laUUY9/eM6WeqdlqSkrHZmw4sikijlvCgGoK2tldraej716c+RSqX48f/8gL7e3jGhkpEwSkd7x+j2w4cO8rOf3TuajmgYxrAAW+a97e7OrA/V1k5esdza3s+y2mKONCdGx1DTKQ7sfpZEPIrD4eDOO+/kqquumnSM1zI+n68I2AFcQUbY514yt9v9wG1+v1/3+XyfB/5meP9H/X7/y9ONK06jRrhQqsxLJgtlImw2G8uXL59wX3//7B/dBUFYEkJSC0koFOKhhx4mHE3SJa9CFR1ZddmxaX1g6JSUVozbJ8syGy/YwtV/804u3XIF+U4bSqSFcnUPeenWhZfwg9FrzjQHYN3KKg4fy07db6bs3bObR/7wWyAjI1xcXDIu82mkedGpLF+xkvPOW8uvfvkLADZs3MTTT/0VyCyM/uL+n9HfN72WTyqtUT6cndLVfpSXn3uExHAI77HHHuPd7373nF7fUsXn85mAHwAjj2P/AXzO7/dfQiZv6K0+n28DcClwIXADkNUigJDFz0KwpD3wqejr6+Oxxx7nppvet9hTWfJ0dnbxxBN/RZVsdIuNM3IPhqRynFrvlMY+rWrI5jzWrL8Ym9VMW2sTB/fvwZnux+oupai8jsqqKv78ciuhyPw++cjD39XWo/tYtf4NWSsRCqIwb82Ir7r6Gn7y4x/ymU9/ArOiUFtXT2Ojj4d+9cBoCAVg69atePK9Y85923XX8+lP3c7lV1zF269/Fz/53x/x7LZnSKVTbNp0AedfcOG0129t78ftslFd4SURj9J8ZC8AN998MzU1Nbl8qUuNbwD/DXxm+PeNwDPD//4TcCXgBx73+/0G0Obz+WSfz1fo9/unvDNOlyp41qURzpSGhgaOHj3Krl17MJsVrFYLVqsNq9WKxWJBUUyTLgyl02lcLjeh0OJ0WllIVFXlqaeeJi44CUizkAMVJRAEtCy96Vg8ibeomjdsrabjxHFaW/y0HniBlv3P4RAEnKKE2WwhlIA0Cqpopb6mir1tCfKcVsLR4YVlXccl9JEvDpA8ZcFXkmR6xFpS0sSVgqpoJyyVQagTNZ1CMU+fqSRCds2cZ4nJZOLmW28bt/279/xozO+CIGAxy6xctXp0m9ls5lvfPukU3jLBONkwGIpRlJ+HxWonv8DLP37g/Xz4wx+e1VivBR5++GGAPr/f/5jP5xsx4MKwoQYYAlxAHhA45dSR7VMa8KUSQnnNGvDf/va3PPbYY7S3t3PixAm6u7tpaWklGAwSDodJp9PY7XZstoxRN5vNmEwyiqKwYsVy8k/zdM5Utm17DlU3CEj143dmu9IyweN9NpRX1lFemYnPapqGoSdIJaN0tHfiSSeIRoZIJPoJHOukzDAQBkTcJhOyrJBMRjIL2AWl1G66GIfdTiKZpvnYfrS2IxSUr5tUBsFJEHd+cVbGG8BqMzMYWvyQmmEYc2pGMR2BwQjV5R52vBDhpptumle55sXm17/+NcAVPp/vcmAd8H/AqeL1TmAQCA//+/Tt07IU3r3XrAH3eDzccMMNk+5PJBIEAgEGBgbo7e2lq6uLI0eO8OMf/5jGxsazQsCqu7uHtrY2+k3LJnQJZqK/MdfMGUmSQLIjm+wsW37ye1RVUURbey/pdJpwKICaijE4GMTlWUlJ6UmBMx1QzBK+lZsYHBxkoKed8zdt5G+3LMeiyDy1o4WuQAR0HV3XZ/TaorEkFaX50x+4AMQTaaxzLK2fjEAwwqGDLaxdt+6M1zq5//77IRPbxufzPQ3cCnzd5/Nt8fv9TwNvAp4CjgJf8/l83wAqANHv90+7wHYuhDLPWCwWysvLKS8/KYD14x//GKfTSSwWQ1EW5wMsiiK6Pn+P6yPous7TTz9DSnZNGG5wWJUxbbOmxpg3b62tPVNsYjKZKBjWAi+eJptNECCWVPnfR/YAUOSx0VhZQFcgQqF+DFlIU1Y5MyVCXddRTDKp9Czj4Ke9PQOBwMTHZYHVopBIzlzgarpr6rpGb+cx7r7zB7Oe22ucjwM/8vl8CnAIeMjv92s+n+9Z4EUy0bSsYlSiME0I5VwaYe55z3vew9DQEN///veprq5m5coVC9ZMeQSTSVmQKsxIJEIikaBfmbik3OUwE4ll7+UJC9itfjpOt2sDQwnyHJnccBMpikpryPeWZjWWzapgt5pxOW2k0rkpobdY7Tzw6z/P+nyn3YrHbaetY+aZVhbr5Gm1iVgUi9XC61//+lnP7bWI3+/fcsqvl06w/07gzpmMea6UfhGwWq189KMf5aabbuLrX/86v/rVL2lsbGT58uWYzQvTbdtkMhGLxeb9OuFwJBP2mKRps9OmMBTP/kay2PHSro5Wjh87SCIRx9B1VOmk9IKq6siSSJ5dQRqCYF8HR9QEl135NyfT9U41+sLJ3xPJFNFYiu6+ECWFLrqnqlrMEkEQ5iTp6nLbUczKnMaYCE1XsVqn11s/x/QIGAhTJKtOtS+XnFUGfAS3282XvvQlbrvtNu666y7+8IdHWLlyBY2Njcjy/Pb9kyR5QUIo0ejQlF6zw6rQH8r+RrKYBryrs40D+14hLrqJicUkZde4G1NtmZtovJwTx4JEB/vo6+vldw8/OKGi4UQ4bHO8gefw+2qzWujpn/uN5HSS8Sg11TU5H/ds5FwWyhKgrKyMH/zgB/j9fj772c/yyCOPsnr1Kurqauc1G2AhiEZjCJN43wA2i4lo90kPvEw7hKDGMnbo5H9GWRzJXejt7uDA3pcZkooZMlVOelxzR5C/vtoM2AE7opyiJLqPE82HqKydXpmwo2cQX31pTjzwuaIoUs5z0g3DIDo0wNrLx2vanGMWTCcZe24Rc+Hw+Xw89NBDvPjii9xxxx00NR1hzZrVVFSUL3roYLbEYjH0SXpGAljNMtFTMh1EPUl5VT1FxeWIoogoiAiShCiIyCYZRZm98uNs6e/tZu+el4hIhVMa74nQRYWwVEpbyyEEUaSsctm0N2VJFGafAZLDj4mhZ/plqmruKlk72ppobzvKe9/73pyNeTazVGLgr203M8ds3ryZv/zlL3zxi1/E72/iySefprd3+lLlpUgikUA1Jv/zyoKBGgujaCGsaj+GruNw5OHJL8TlLsDp8uBw5GGzOxbFeAMcbdqLLiiETdXTHzzBNyZiKiMiFtJ6/CAvP/sHWo8fmFLr5PiJPipnm06YQ4erpa2X2sqi6Q+cAUWl1eTluThx4kROxz1bGWlqPNXPgsxjQa7yGkIQBK699lpeeOEFbr31Vl56aTvPPfcCg4O5erRemD9sMpkirU/+5z38ymN4UwcpVI/hNdqRZRnHdN3gF5hVay9EMlKUJ3dQoe7FNQt9lbCpik7TOgbJp73VT8twGflE+OpKOX5i5p3ogZx64DrkTFSrv7uV5qY9BHrbUcyWOWkIneMkIic1wSf8WaB5nAuhTIIkSdx00028613v4nvf+x4/+tGPqKqqYtWqlQueejgb0uk0+hR/Xl1Tqa5pZNny8xZwVjPD6XRx6WVvZXCgn2Cwl/a24zjUIH3SBKX0U+VMiyJDYhViWmMg0EUd6yY8LJ1Wcxq2WAr4D76KxWpF61FRVW2csuc5ZsdSKeQ554FPg9Vq5ROf+ATbt29n06ZN/PGPf2LPnr0kk7mplNN1nUQiMa3H5XK5cbncOJ15WK02FEWZMqabTqfRBNOk+w1DR5rnjJtcIMsy3qISlvnO49LL3oLb7aFIb5nVWBGphGQiRjqVGLdveUMZbR2zL76JRpM4HblL0dN0A4d95qErXdcZCgXoPHGU5iN7EQSBkvLlrL/ozXiLyti2bVvO5ng2I4gnM1Em+lkoyf9zHniWuN1uvvKVr/DBD34wp6mHTU1HeOWVVzEMA5vNNqzfYsVszghyybIJi0WhsLAIp9M5uk2STJjNlgmMeOZZPpFI4NSiOLUeBEFAGF6YFEUJQRJJJpKIUnbzNgyDeGx+tUKsNvu0C8aiKLJ2w8U8/cRvsQp9xOWTfVFbukNcfVE9f37p2KTna6IVQVI40eKnrnHt6HZZzryHkdjslRIDg0OUl3gYisy+RV++2447zz4ajqkqLxjX21LXdRKxCEPhAaKREKlklHQqQTIZJ51Koes6giAgyzLpdBpBEIhFgkAtLk85Dzz4IJ/+9KdnPcdzZDiXB/4apby8nB/+8If4/X7uuONz/OpXD+FyuXA4HFitFhQlo4xos9mx223YbBlveeRLpapji2fi8QS33347t912G8FgkP7+fvr7+0f1W3p6euju7sbvb6Krq4trrrkas1kHpjY2giDgW7EeT76XVCpJKpUknU6hplKk1RSaplFWXpPVa47Holz31qsoGG4skGsCgQC/+d1j2OzTF67Iskx1bSM0N+EkSK9YB6LM3qO92MwmllV4ONI+uc7NEB7oOIY7v2i0WrOhpoTjWfSPnIpMMdH0N0RZFvHk2XHYLQjD9dYCmQhQaCjK8baT8ygrcdPRsp/BYB/JRIJUKommacPjyChmM4pixWxx4HSVYHO6cToKkJVMTntX2wE624/idGVudB5vGb2dfp544gkuv/zyOb3es52lkoVyzoDPEp/Pxy9/+StCoRBdXV10dHTQ1tZGa2srJ06coKenh8OH/QQCATRNIy8vD6fTgdVqw2SSR418KBSivLwck8lEUVERRUWTZx984AMfoKnpKGvWTN/rUdd1bHY7DmduNF8KCgooKirOyVhzZZnvPIpLKtm76wVMyb0kBDtpwcLhQ0E2nbeCI+2Tnxs2VSKmVQ7tfYGK6uVU168iraqz10CZhuoKL5IkjhZ/aprGYChO84nps5t27thJy3E/3qJyLPYC7HY3jrx8zJbsulCVVq2itOrkZ0UQBLyly7jrri+wdevW13ytw2KSCZVM7mWfK+R5jeByuXC5XJN2DoKMLkl3d/cYA9/R0UF3dzeCILBqVXbNd//t3/6Na665BlVNs3bteVN+AQ3DWLT0v4Ugz+XhdW94Ey3HDzHQ30syFSOVDHLwpWMUmb30CjWTnjtoqiUp2KHVTyIeZuWyt+dkThN9nc1mE03HumY1XmiwH5vdSZ1v+qYN2VJQWEHT/qM8++yzXHrpOFmQc2TJOQ/8LMLhcNDQ0EBDw8wU8k6nvr6ebdu28YEPvJ/du/eyYcPE2RSQMeCmeTLgP733f2lpbaGzo4OCggLMFguHDh7A51uOKEmo6TRut5uPfPR2/H4/3/vudyguOSku9da3Xse6deunuEJ2iKJIXcMq6hpO3gADfV3s2vE8olKGLk5eHh+Xi0iLNug9zJGmIyCc9GoVk4zTYcFhM2dkcIfdZ7Mi0xsIEQhOvR4QjYQY6OugomYFgYEwy2qLaTrezUB/F7quUVhciaqmCfR1kE4m8HhLsTvGPyklYkMo5rHetmEYpJLxzDqIPPki9WQIgkBBUR0f/ejHeOGF589po8y27zEgAAAWuUlEQVQSkalzvcVzMfBzTERxcTH33Xc/W7duZe/efaxevWqcJ66qmXCAosyPQNeNN2Ua8d5zz39xzTXXUlNTy113/T8+8YlPjTaZ/sn//g+7d+/GarVy4YWbR8+ZbwoKS7HZ7BQZPXQbU1dvqqIDXbJw9MgB3nj5taOLh2paIxJL0NETHJNWWF1RwNDQ+AyWEeKJFHabQteJHtqaD2GzuxCEcpLxEB1tx2g9th+AWCRIe+uR0fNajx/At/oi8gtKxiwsJ5NxXPkntXWD/Z00H3kVk0nBMHQKiytweipxOGeWv+8triYVD/LVr/47d91154zOPccw50rpzzFb3G43f/zjH7nhhhvw+5tYsWJs+CaZzCxwLlaM0zAMgoNB7Hb7vHR5nw6z2UIqrWd6jE+BrEURtQSuwpoxi4eTHi9LpKZovTYwMIRFAV1L4nK5iEcHSKe9PPbkI2OOu+R1m3jLV79Ab28vwWCQjo4OXnppO3teeZzC4ioKy+owm63omoauZV5EKhnnyKGXyMvL4+DBgwwODvKLX/yCb33729Q0nI/d6ZmR7IO3tJH77vsZt932L1Ouu5xjYs6FUM4xJ0pKSrjnnnu47rrrAKivrxv1uOPxxKJouHzt379MMpkkEo1w1VVvYsWKlRw4sJ/t21+kpbVl9LiPfORjuN3ZeY3R6BCtzU1oqoqmqWi6hq5pGMZw553hDjy6PrLNyGT6mOxMJgUj61GKtGbQk9idHtye7AxYT18YQQ0RGIxiteWhqWl6u5vpam+morKW4EAf0WimFdz/b+/Ow6OqzgeOf+/MJJNlkglJSAJkD+GyhFUEtFIQDEH9KVoQsRj7aKtUw+aCWBSJFUwFKQ8ggqUVBBWtgEEUQUU2CyKLgEByQRISQlaykIVkkll+f0wSQcgskJWcz/Pc55nl3jtnsrxz5tz3vKd///4cPHiQjPRT+Pn5MXbsWB544AH69u3b4PkzMjJYsmQJW7Z8Ra9+QwkOl8lMO4mbhxcF2ae49957efrpp5EkiQ4dOvDMM8+g1+uZN+8N/AK74h8Y6tD7AHDVehDYuSuPPfYnvvzyC+tQkeAwlcpi5yKm6IELdvTs2ZN169aRlJTEjh07GT58GFqtlqqqyhYJ4C/OnIWbmxv/XDj/iiW7bmQI5eyZVHJzz+Hh4WX9RlGby67WuOKq1qBWqVFrNKjUGjQaFywWyDjzM4WWa2fMqMwGAmoUdF56AoK6E9g5wubrm80mzp9NwWQ24h8YTmlRFulnlPrnR4wcybNTn8ZgMNCxY0d69uxJSEgIM2bM4OTJkyxZsoS4uDiHvg2FhYWxcOFCfHx8+HzzV2hc3JAkidysFJLeeIOHHnroqmMmTpyIv78/CQkJgBG/gAiHf/cBnaPJ/OUAr86Zw7y5cx06RrBqLTMxRQBv4wYMGMB///tfZs2axZYtW4iNHUlVVVWLDZ+o1WqemvQMf/vbDHr3bri36SiLxYLW1Y2wKOtK7ZKkQpJArXG55thvmvITAH6WLAqNYND8OnVcZa4myJiCp6cXvQcMd+hnlH3uFMGd/Rk27PckJSVd8dy3335L9+7drxkwFy9ezOLFi516r3USEhL4fPNmbhvcjz+8+XdkWaZjx44N7h8XF8e3337L+PHjyUq/iE4fhJfeD43G9jUQSZLoHNaH9Z+uZ9CttzJmzJjram97JGG7/E1zdZ9EAL8JSJJEUlISR48eJS8vn6qq6hbN8dXr9dx//wN8vO5Dfj9s+FVDKEOH/p4RIxybSOKp8yY/L4vUn/fVljux9mwsFgv9B8fi4el9xf7RPfrTNborKSkpkJdGjTkXlSShxggmAx46PX0GOp4DXVZSQGAfmeLiqycHXbx4EYul8dcL9fX15cCPPzp1THh4OLt27eKRP/6Rgvwc8sry6BzW127bXFzdCI7szwsvzCA9PZ3p06ffSNPbDTGEIjS62NhYPvnkE3x89KhsLObQWJ55Zkr97Tlz/n7Fc6NH31N/+53lK6/7NSKiuhMRdXWO/fZtGzAZr14STlKpCI+IwqzyIrBTOJnpJ9G4uOKqdSewUzheTlZcDInsw+Gjp7BYrNPv004drX9u7969DBkyxPk31UTc3d1J/uwzysrKuPPOO8k7f4qgYNnucd56f7r2/B0LFiygX79+DB8+vOkb2+bZyUIRaYSCs6ZOncq6desoLCx0uM5JW3atfxGj0Vz//dXHNwAf3xvLsNB5+aDz8qm/7x8Yyo97NgPWFZ1aIy8vLyZOnMiSJUsdCuAAxhprcTZbQzVticlkomfPnu8BMmACHsf6l7Ea65/OcSBBURSzLMtzgHux5i1NVxTF7tef1pKFIubS3kTUajUdOnTAYDCgboYeeEsrLysmJ+sMVZfK6x8L8PfmYumvBaUsDZSZNRgqyUw7wf++28CZ1ANUlDdc791isZCfk0FNTTU5Wdb87Q6+vkyYMKGR3knje/TRR50aRnPz8MLD035BsbZix44dACiK8jvgVeCftdsriqIMxRrMx8iyPADrSvWDgQnAMkfObx1CMdvYRA9cuA7+/v6kpqbi6enl1HGXKsrRurm3+nQyi8VCcVEBKpWa9FNHUavVnP3lZ/oNugt3Dx1ajZn9Px6gsuIiFy8WU1NdTVCnLrh7dsDT2x8PT28kSeJ8RipuLhaio6M5ffo0udmZ9Op3B94+Ha8KfIaqS5xOOVh/393dk4rycp599ln8/f156aWXWt3PTafTUVPjeMljjcaFgE5dee655/nqqy1tPpDXFut6qvZuGJCHtZe9q/axr4BRgAJ8rSiKBciUZVkjy3JHRVFsFqtRYbv3KxZ0EK5LYmIiw4cPt7mg8eXOn0sjJzuDkuJCPHU6fDv4YTKZrEMPkoRe74ckqSgsvP5a2fY4c26z2czhA7/WtL5taBzHDu/l6IHtuLu787/yMh566CHGjx9PdHQ0Wq2WvXv38sUXX/L9999TXFyEu4cnZpORMfHxjB07loqKCp5//nmqynPJzTpNcEQMLi6uaN08MFRdoqQ4n/CuvbHUlGEyGcnKslbL2rjxM4zGGt555x3Onz/fUJNbRHZ2Njqdcx/iHYMiSEvZy+rVq3n88cebqGXNR1EUoyzL7wMPAuOA/6sN1ABlgB7wBi7/A6x73GYAF2mEQpOIjo7Gx8cHs9mIoaoSrVvDtS4KL+SScuIwjzzyCKNGjSI0NJQjR45w9uxZzpxJY+fOHVy6dIkhd4zis03bmrTd7h6OVdhTq9V0CQ5HJZk4d+4cGWkp1NRU061bNIsWLUKW5atKCIwePZrRo0cDUFlZSWFhIX5+flfUAdm9ezfp6em8/fbbbPv6awyGatzcdRgqy4npHcPBA0eJju7GF19spqCggMWLF/Pxxx833g+gkf3www/ovDs4lSUjSSqCQmNISvoHI0aMICzMgbVIWzlFUf4ky/JMYD9w+T+DF1AClNbe/u3jNkl2slCkZhpCkRoaI6zVPK0QGlVVVRWzZ88mOXkTA4eMwNVVe839Uo7vZ+aLMxg79trV+AwGA5GRkXjrfejVexCeOu9r7tfccnPO4eZi5s9/foKKigruuOMOQkKcW7X+WsxmM9nZ2RiNRnbu3MmePd/z7LPWtLoXXniBuXPnMnDgQMB6kSw0NJQxY8bw8ssv06VLlxt+/cb0n//8h1dffRUAbx9/onvejlrtWH8t51wKvXtGsnLlvxzaf//+/cyYMeOKgF9RUYFWq0Wj0VBdXY2/vz+LFi3C1dWVgwcPsnTp0voyC4mJiURFRVFdXc38+fNJTU3FYDAwbNgwJk+e7OQ7t0pOTmbmzJmzFEVJkmXZGzgK/ALMUxRlpyzLK4AdtY/NB2KBYGCzoigNTmCQZTkcSF86dyABfg0Xi8svrGLKKwcBIhRFOXtdb8IBogd+E3Jzc2PBggXodDo++OADgjqH0Klz5BW93NKLxVwsKWHkyJENnker1fLTTz/x9ttvk5y8iR4xg3Bzb9n1QGtqqqmuNnDy+M/Ml99Elh3LsnCESqUiODgYgHHjxnHPPffg5+eHWq1m69atV+yrVqtJTk7m1ltvbbTXb0xa7a8f2qUlF7hUXoKX3t+hYzsGRbFr104OHTrELbfc4tAxcXFxvPzyy/X34+PjWbZsGd7e1g/9119/nT179tCvXz/mz5/PypUr0ev1pKam8uKLL7JhwwaWLl1KVFQUr7zyChaLhenTp1/34hOjRo1i5syZ/WVZ3g24ANOBFGClLMuutbfXK4pikmV5D7AP69B1giPnl7CTheJ0i6+PCOA3sTlz5vDEE0+wYsW7fPrppwSHRBIcFo3ZbOLQgV306N4dHx8fm+cICAjgtddew8vLi3+tXEnf/r9rsZ640VjDiWP7CQsNZuFbbzVq8P4tnU6HTmd7haDWGryhPoAB4ObujqcTFQs1Lq507BTNCy/M4JtvvkajubEwYbFYKCgoQK/X89133xEbG1tfaqF79+689957gHVm65YtWwDr5LQ33njjig8iZ3h4eKAoyvhrPHVVEXRFURKBRGfOX5dtYuv55iDSCG9yISEhzJs3ly+//AJjTQXbt23g+NEfuHP4nWzevNmhc0iSxIwZM3j+uedIO/1zg6l5TclsNpF64hBDhgxi1apVjB9/rf9NoU5AQAC7d+8mIiKCoC5dnZ7Y1TEonOKSMqZOnerQ/tu2bSM+Pp74+HhWrVoFwKRJk3jwwQcZOXIkffv2ZeDAgRQWFtKpU6crjq0L5mq1+orxek9Pzxv+8GgqdWti2tqagwjg7UR0dDTbt28nMTGRe+8ZzTvvLHO6XvhTTz2FyVRDWandazyNymKxcDr1CJERocx9/fUmW5vzZhMREYFer6espMDpD11Jkgjo0p1NmzZRVFRkd/+4uDjWrl3L2rVr6zNY3n3X+s2vW7du9b+zwMDAqzJ2vvnmG2pqamqrSv7ac83IyODEiRNOtbu51E3ksbU1BxHA2xEXFxeefPJJ5s2bV7/wgjNUKhWPPfYYudnpTdA6K7PZjMViwWw2UVZawtm0FI4d3oOPXseaNWtumpmCzUGlUrF582ZcNBKlJXlOH++p8yE4NIpNmzZddxs0Gg3z5s1j0aJF5OfnM2zYMLZv305paSkAx44dY/ny5bi4uDBixAjWr18PWC8SL1iwgOzs7Ot+7aYk2ZnI01xZKK3z+4nQaiUkJLB69fuUFF/Ap4NjF8WcceCH7ygrLUGj0eDv789tt9/O2D/8jaFDh7bar9OtmUqlYuHCt5j017/iqvWkvKwIv44hDs/StEiunDlz5oba4Ofnx5NPPsmiRYtISkpi6tSpTJo0qX7I5K233gJgypQpJCYmkpycTFVVFXfddRexsbE39NpNpbXkgYs0QsFpy5cv58OPPiGq242Xi61jMpnYt2crnYMjSD+Twocffkjfvn3tXmQVHJP42mus/Jc1LTCy20CHF38oyD1L13A/Vq9e3YStazKNPpBRl0b47wV9CfRv+AJr3gUDf5lxFJo4jVAMoQhOe/jhh8nJPkdlpe3FfZ0hSRJVVZW4ayUefvhhevXqJYJ3I5rz6qssW7YMX19fqg2XHD7OVetOTm5uE7asbVJJtuqgmFFJzZOFIr6TCk7z9fVl6tSprFjxLjH9bsPDw3a6nT0Wi4VflKOEhISyfPlyIiMj23wtjtZGkiTi4uLw8/PjiSf+jFqtJqBzV7s/Z42LK6VFZc3UyrajtQyhiB64cF2mTZtGQkICqccPWNegvAHnMk7jo/fko48+JCoqSgTvJuLu7k6PHj1YtuxtCnLTqCi/epGK39JoXCkvFwH8t0QaodDmTZ6cQP/+/cjKPH1dx1+qKOfnI/vIOX+W2bNnExkZ2cgtFH7L39+fUaNGMXlyAqVF5+zubzIZ0TZQiqE9q6uF0tDWXFkoIoALNyQpKYmc8xmUFF9w+liVSkVe7nnefPMfDBo0qAlaJzQkPj6eirJiTp/8gfycdCrKS66ZK1556SKdOgW1QAtbt7ohFFtbcxABXLghXbp0YeHChfxy6iiZ6SlOHavWaNBq3ejdu7dIEWxmvr6+JCbOoU9MN7qG+3Hq+B5ys1Kv2q/6UhETJ05sgRa2bq1lQQcRwIUbdt999/HZxo3kZNv/Sn650otFREVF3RRlS9uicePG8dFHH/L+++8zbdo0ii5kXdULV6k0HDlypIVa2HqpsKCSbGxiDFxoSwoKCqiqqsRkMjl8TFlpCTExvVrdajbt0ZQpU/Dx0ZOVcYKq2vRQo7GaCwU59O3bePn+NwsxhCLcVG6//Xb0ej2Gqkr7O9cy1hjo2rVrE7ZKcJRGo2HI4MHknDvFsYPbyD+fQuqxHXh5eTJixIiWbl6rI9kcPjEjNVM1QjHwKDQKSZIICAykpCQfD0/H8sKrDZUEBYkLZK3Ffffdx4YNGwAY++A99O7dm8DAQAIDA1u4Za1Pa8kDFwFcaDT/XrmSu+++G52uA956+/Wn1RoXLl1yfFag0LRiY2PrKwXm5+dz9uxZunXr1sKtap1aSwAXQyhCowkLC2PSpEkUFTq2wK9a40JRUdEVJUSFlpeZmUlaWho9evTAza3hZcPaM5VkRiWZbGxiQQehDZowYQJZmRkYjUa7+7q5eXLw0CHy8pwvdSo0nurqalJTUzl16hSZmZmUlJQwYMAAvLycW9W+PbGZgVK7NUs7muVVhHYjMDCQQYMHkXr8R8ouFtjsXQd1DmXf3n1kZGQ0YwuFyxmNRk6fPo1Go8HV1ZXg4GD69Onj9GIf7Y+9DBQxBi60UWvXrGHr1q0sWbKUlBNHCA2LpINfJ7RuVy6IrNG4ENQphI0bNzJkyJAWam37lJaWRnl5OTU1Nfj6+hIWFuZwjXABVCqTzZ+XSuV4Ou2NEPXAhSZ1/Phx1qxZQ3JyMhoXFzw9dLi5uaHSuODr1xm1RsPxI3s5fPgwHh4tu+J9e2I0GjGbzWg0mpsycNfU1BATE/MBEA5ogbnASWA11rh2HEhQFMUsy/Ic4F7ACExXFOXHhs5bVw9807+70Dmw4f5vdp6RMX85D01cD1z0wIUmFRMTw/z585k7dy65ubnk5OSQl5fHyZMnWbVqFeXl5Xh7e5OTk0NUVFRLN7fduNlLF3z++ecAhYqixMuy7Af8BBwBXlEUZacsyyuAMbIsZ2BdqX4wEAJsAG61d36RhSK0K66uroSGhjJ48GDuv/9+XnrpJbZv305CQgInT54UwVtoVKNHjwaYfdlDRuAWYFft/a+Au4A7gK8VRbEoipIJaGRZtrvwqlplsrs1BxHAhRYTHBzMrFmzRP1vodF5enqiKEqZLMtewHrgFUBSFKWua1wG6AFv4OJlh9Y9bptkRrKxIdIIBUEQrp8syyHADmCtoigfAZdHVS+gBCitvf3bx22S7GShiAUdBEEQrtOFCxcAvgZmKoryXu3DP8myPLz29t3AHuB/QJwsyypZlkMBlaIodovbW7NQjDa25hlCubmvZAiC0C6tWLECoAMwW5blurHwacASWZZdgRRgvaIoJlmW9wD7sHZoExw5v3UmZsNDf801E1OkEQqCcLNq9IsrdWmE33zgRZeghssgn881EftoGYg0QkEQhNZFql2Rx9bzzUEEcEEQBGdJknWz9XwzEAFcEATBSXkFFq5MarnW803PXgAXCbqCIAi/KgWKJ04tt1/wHopr928y9i5iCoIgCJeRZdkX6wQge0oVRSlqyraIAC4IgtBGiYk8giAIbZQI4IIgCG2UCOCCIAhtlAjggiAIbdT/A3sFYeqk1E4iAAAAAElFTkSuQmCC\n",
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