{
"cells": [
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
""
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import netCDF4 as nc\n",
"import matplotlib.pyplot as plt\n",
"import scipy.io as sio\n",
"import pandas as pd\n",
"import datetime\n",
"import xarray as xr\n",
"from salishsea_tools import tidetools, geo_tools, viz_tools\n",
"from matplotlib.colors import LinearSegmentedColormap\n",
"import os\n",
"%matplotlib inline\n",
"\n",
"from IPython.core.display import display, HTML\n",
"display(HTML(\"\"))"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
""
],
"text/plain": [
""
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import HTML\n",
"\n",
"HTML('''\n",
"''')\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"buoy = sio.loadmat('/ocean/rich/home/metro/ecbuoy/matlab/ECBUOY.mat')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"buoy = buoy['ecbuoy']"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"buoy_dtype = buoy.dtype\n",
"buoydata = {n: buoy[n][0, 0] for n in buoy_dtype.names}"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['comment', 'lat', 'lon', 'tz', 'mtime', 'temp', 'specc', 'turb', 'o2', 'pH', 'salR', 'O2sat', 'vel', 'airtemp', 'cwind', 'wspd', 'wdir', 'wu', 'wv', 'patm', 'depth', 'dailyturb'])"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"buoydata.keys()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"temps = buoydata['temp'][:,0]\n",
"sals = buoydata['salR'][:,0]\n",
"mtimes = buoydata['mtime'][:,0]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(90613,)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mtimes.shape"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(90613,)\n"
]
}
],
"source": [
"base = datetime.datetime(2000, 1, 1)\n",
"py_buoy_times = np.array([base for i in range(mtimes.shape[0])])\n",
"print(py_buoy_times.shape)\n",
"for n in range(mtimes.shape[0]):\n",
" py_buoy_times[n] = ((datetime.datetime.fromordinal(int(mtimes[n])))\n",
" + datetime.timedelta(days=mtimes[n]%1)\n",
" - datetime.timedelta(days = 366))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"grid = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/bathymetry_201702.nc')\n",
"bathy, X, Y = tidetools.get_bathy_data(grid)\n",
"mesh = nc.Dataset('/data/vdo/MEOPAR/NEMO-forcing/grid/mesh_mask201702.nc')"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"-123.0385659"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"buoydata['lon'][0][0]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(415, 337)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"geo_tools.find_closest_model_point(buoydata['lon'][0][0], buoydata['lat'][0][0], \n",
" X, Y, land_mask = bathy.mask)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"start_date = datetime.datetime(2013, 1, 1)\n",
"end_date = datetime.datetime(2018,11,15)\n",
"\n",
"temps = temps[(py_buoy_times > start_date) & (py_buoy_times < end_date)]\n",
"sals = sals[(py_buoy_times > start_date) & (py_buoy_times < end_date)]\n",
"py_buoy_times = py_buoy_times[(py_buoy_times > start_date) & (py_buoy_times < end_date)]"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(49259,)\n"
]
}
],
"source": [
"print(temps.shape)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"HINDCAST_PATH = '/results/SalishSea/hindcast.201905/'"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"sal_model = np.array([])\n",
"t_model = np.array([])\n",
"\n",
"depth=1\n",
"Yind = 415\n",
"Xind = 337\n",
"for n in range(temps.shape[0]):\n",
" date = py_buoy_times[n]\n",
" sub_dir = date.strftime('%d%b%y').lower()\n",
" datestr = date.strftime('%Y%m%d')\n",
" fname = 'SalishSea_1h_{}_{}_grid_T.nc'.format(datestr, datestr)\n",
" nuts = nc.Dataset(os.path.join(HINDCAST_PATH, sub_dir, fname))\n",
" if date.minute < 30:\n",
" before = datetime.datetime(year = date.year, month = date.month, day = date.day, \n",
" hour = (date.hour), minute = 30) - datetime.timedelta(hours=1)\n",
" if date.minute >= 30:\n",
" before = datetime.datetime(year = date.year, month = date.month, day = date.day, \n",
" hour = (date.hour), minute = 30)\n",
" after = before + datetime.timedelta(hours=1)\n",
" sub_dir2 = after.strftime('%d%b%y').lower()\n",
" datestr2 = after.strftime('%Y%m%d')\n",
" fname2 = 'SalishSea_1h_{}_{}_grid_T.nc'.format(datestr2, datestr2)\n",
" nuts2 = nc.Dataset(os.path.join(HINDCAST_PATH, sub_dir2, fname2))\n",
" delta = (date.minute) / 60\n",
" t_val = (delta*(nuts.variables['votemper'][before.hour, depth, Yind, Xind] ) + \n",
" (1- delta)*(nuts2.variables['votemper'][after.hour, depth, Yind, Xind] ))\n",
" t_model = np.append(t_model, t_val)\n",
" \n",
" s_val = (delta*(nuts.variables['vosaline'][before.hour, depth, Yind, Xind] ) + \n",
" (1- delta)*(nuts2.variables['vosaline'][after.hour, depth, Yind, Xind] ))\n",
" sal_model = np.append(sal_model, s_val)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/vdo/anaconda3/lib/python3.6/site-packages/pandas/plotting/_matplotlib/converter.py:103: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
"\n",
"To register the converters:\n",
"\t>>> from pandas.plotting import register_matplotlib_converters\n",
"\t>>> register_matplotlib_converters()\n",
" warnings.warn(msg, FutureWarning)\n"
]
},
{
"data": {
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w0003YdOmTYavP3bsWPTu3RshISHIzs52/LfQWrhwoaMMgPZfWwKu1157LfLz87F3715Mnz4dc+fOdRwbM2YMevbsicjISAwYMAAzZ84EAN3/K1Nos/Xi4ozPOX8+MH0hCla86aX2ztPv+MWLwPHjwPLlzb/O118bt//nP3Lglohaz3lmmX0mExEREVELWSrTtbmMVH+JjIx0bIeEhDj2Q0JC0NjYCACGU+uFcvMkDG6iJEnC3Llz8fjjj3vVh7y8PPz1r3/F9u3bkZCQgLvvvhu1tbXNPs/ove3v/9FHH2Hw4MG69q1bt7o8x91raP+7hIaGOv5baPkj0zUpKcmxfe+99+Khhx4y7JO7/1emOH1a3Q5z87HauBFwyhQmIo26OrN7QGS+kpLmz/nhB/3+l18C/fr5pz9EHc2kScAllwCRkcBjj5ndGyIiao+uuEJexJEzYds9Zrp6adKkSY7g4vr165GcnIy4uDhd+5dffolSpb7atGnT8OGHH+K8kt1YUlKCEx7qdZSXlyM6Ohrx8fE4d+4cvvzyS8ex2NhYVFRUuDwnIyMDeXl5jlqm7777ruPYFVdcgeeee84RLN61a5fj2Ndff42SkhLU1NRg+fLlyMnJcfsezfFHpuuZM2cc2ytWrMCQIUNa/VoB09Bg3L5woTpNtL6+Za+5Zg3wzTdt6xeRlTkPZm3c6Pn8ZupiE1meuxIaeXnAyZPq/gsvAHv2ePeaRUXA1q3Ae++pbfbv8xUrgJdeal1fiToqIYCYGCA83OyeEBFRe7BrF5Cbq28bP15eC8bdLFlqNxh09dLixYuxY8cOZGVlYdGiRXjjjTcAAI888gg2btyIUaNGYfXq1eijBNiGDh2KP//5z5g5cyaysrIwY8YMXTDR2YgRIzBy5EhkZmZi/vz5yMnJcRy77777cOWVV7ospBUVFYUlS5bg6quvxoQJE9C3b1/HsT/+8Y9oaGhAVlYWhg0bhj/+8Y+OYxMmTMCcOXOQnZ2N2bNnY/To0UhKSkJOTg6GDRvmWEjLHyZOnIif/OQnWLt2LXr37o2vvvoKAPDwww9jxYoVAOTFwzIzMzFixAg8++yzeP311/3WH59xt8hYdDRw/fWte81Nm4ANG9SbZ6L2xmiwoqjI/YJaZi+WR9RWzjMhysvlgvZvvKEvK3D+PPDJJ95lfz//vGvbqlWw2QDbzl3yqri+LphP1N4oiREHbBnYvNnkvhAFk8ZGubb4t9+a3RMia6qoAD79FHj/fcBmU9uFkOv8cyHhdk/4YkV6b40ePVrasWOHri03Nzc4Mhnbiddffx07duzA80Y3ae2Qz3+/KiuBt98G7rtPn7F04gTw2mtAaCigCXA72Bc60S540hz7ucOGATff3MoOE1lYbS3wxBPGxxYvdv283HYbkJHh714R+c8LL+jre6em6jNcnaWmAvfco29ragL+9CfP75OSgsUn5gGbN+O2YfuQcXlPYPbs1vebKNiVlACffy5/j0REuB5//HGgrg6L994EZGXhmmuAzEyg01OP6gfWW3IdR9QRfP01HCMVjzzC+vxEzlasUMtCjRkDbN8ub2vudSQJsD34CxRUJuKNN4Df/IYJsMFGCLFTkqTRRseY6UrUEn/9q5wx9H//p2+31+C79VbfvycvXqi98qJutU5LS3QQWU1oqH7fXWkaO6OA7KpVzb9PWhpQWAgA+OFMT+DHH4H9+73rI1F7tGaNvFDd0aPGx+13t8pn9PPPgSefhGt2OsvcEKlsNuhSw7/+muX5iZxp6/DbA65Olu3PxJ8eqsTWrfK+p/F4Cj4MunYwd999d4fJcg2oTz+VHzULfRkKYGY5keUpZVrcOV6agIYmzdfUmjV+7hCRH9lsgHOZIW+m/TsHZt1csGudOBXmmC5tk5SBuw8+8KaXRO2TfQD7u++AV191Pd7YKF+iOQ10S/UNLucRkcKppMCFdT/i8cflcT4i8k59Uyhyi7oCAA4eNLkz5BcMuhK1ltGiP84ZEc5qalr+Psx0pfZKWXhQa+fpnli8fgo2/vZTvLlnBB77dhIOZtwgHywv58AFBa/WBmteflnd1tYCc7coF4CNKy46tpts/A4hcmSoFhYa189rasJXx9JdstGPlSbqzwuGdQaIAuXUKd1uSaVcumPvXoNzJYmDFkR2113n2FxxaLC8wXucdqvZoKsQIlUI8Y0QIlcIsV8I8UulPVEI8bUQ4ojymNDaTgSyrix1HH7/vVq3zjX3313Q1V5Lr6pKbfvgA+C55/zTN6JgYFCs6LPD8oXHup3xjrb3tvZDUXVneWfLloB0jcjnWvuddO6cuv322+p2Wpr7t4IaaM272OrLM6L2o7n0ofJybCnsLS/mqFEU1kN/nodFcYk6nOPH0WQTjllJa/P6A3BTDWr1auDPfwbWr9cPIBJ1RL17y49hYdh3vpu8nZfnKFnI8Fj74k2mayOA30qSNATAeAD/LYQYCmARgLWSJA0EsFbZb7GoqCgUFxcz8Eo+JUkSiouLERUV5d83cq6t51yvz86eraqdFrp/P1Bc3Px7MNOV2iuDchyDk4pcz2towPPbxsrbXIWdglVLr3Nuukl+1C76c/y4uj18uMtTTlyMxzs/DseQ5Au+6QNRB1HXqFy/OV3HraqeZEJviIJEYyPe3puFx76VPyfnq6Ltza7si2mvXw/s2xeY/hGZzd0AQ2Wl/PjTn+rblQHCDz/0Y58o4JqZCw1IknQGwBllu0IIkQugF4DrAUxRTnsDwHoAD7W0A71790ZhYSEuXHBzg0DUSlFRUehtH0XyF6dpNW6nzYSHy4979gBXXaU/tm8fMGyY7/tGZHUpKYDT3/5Dxcmu52lvgvfsAW680c8dI/KD9eubP+eWW4Bly+TtrCzg44/dLyCXna3WE1d8cCATlfUROFycpGuXJGX87vhxYMCAlvedKJidPt3sKTtrM+WNzEz9gfh415OJCABQ2xjmmE3hGNOrqcGpU51QXS1PTpoyRamGo61P/vHH8jVgssE1H1F7cuSIcXvnzvpHO2aBt0vNBl21hBBpAEYC2AqguxKQhSRJZ4QQ3dw85z4A9wFAnz59XI6Hh4ejX79+Leo0kSm8qGzd1CUJBXlAv37Ae+8BEyfKyaxlFwch6lQKRudEwiVv9cMP5auRoUONX5SZrtRe7dnj3XldugADBuDAhf0Y2pUDdBSkvCmNkZAgD8KNG9f8uU7fDQ1NIaisjwAGDwYOHdIds0kCoULixTx1TF9+6dpWXa2/2e3VC/ihDoiN1Z/XqZN/+0YUxN7bpySN9OuHlUeURJSKCqBTJzz1lHre1KkGT167Frj1Vr/3kchUzouhKqRu3fHF50BinNPAgyaBq66u+TW6KTh4vZCWECIGwEcAfiVJUrm3z5MkaYkkSaMlSRrdtWvX1vSRyBo+/ti4XfPH9Ov14XjjDeDYMTlG+9JL8tPWrhP44sggrFsH2B79k+trLFvmPhPDvvgDUXtin1YDyKMTQ4fKq6wb3eAKAfTsiWX7M12PEbU3N98MpKa2+GkfHHD/+WiwKdni/i65Q2RF9tlGWk6LaW05EKdbnO7nP1ePVdRF6M5t1aKoRO2MzQbklyfK31cJCdh+upd84MAB3XlG6w4D4KJa1DG4Gezetl1gxw5g9TqDHEhloeHPPvNnxyiQvAq6CiHCIQdcl0qSZI88nRNC9FSO9wRw3j9dJLIId1M8f/jBsWlPZHrrLeNTvy3oi5d3ZBtfaFRXGz/pxx9b0EmiIKENuk6bBtx8Mz6OuA0YM0Z/nn2xIO0idaWl8vAvUXvjLhPVXS1WTWmaw8VJwPjxugDT1QMPA5BrvRJ1WEaLnDoNQJRXheqyx5M0FTocK0vbPfmkL3tHFJQ2rGuSv7PCwgwXRm3WkSMuC9cRtTtffSU/XnYZcM89AICmiE6GEzDmj9wlbygzAd1VJqDg02zQVQghALwCIFeSpL9rDq0AMFfZngvgU+fnEnUIQgDJyWhK8S4z6XRFLLB8uesB7arURMFMkuTUhqoq9+c4HwsJwb6GwXKmUVaW2m50If/MM8DjjwPlXk+6IAoO7jJ/GhqA8wZj28oiW4vXT5H3w8OBxEQAwPjehZB6pgAA3t03HEdLEuVpn0oGBVGHcfiwa5vzAIej8LHrjOeT5Ry0ILI7cEC+xNuwoszr57hdw/H5511q+xO1K/b7nfBwuVwagIIipzquQ4ciJ7UAfeLL8MAYddFt5pe0H95kuuYAmANgqhBit/LvKgBPAJghhDgCYIayT9Q+aaf49+4N5OSo+9HRqLeF4U+rm6nBp8mgKNl+zPv3jonx/lwiKzh1Cli3zmWRHx2nzO6SEnV73JWJGDO0CnOy9uAXv9NP69RN8/z730EUtIxKLrkrw+QcdL3kEvnRedq0EI4p0jER9SirVo+/vTdLLmXzzDNt6TVR++Am6DpoEDBkiNw0e7b8mJ5YAiKSLVsmX+Jh/365QTtzCUCv2HL9NZ7Nhh0v73b/gv/6l+87SWS2ixeBJUvU/WHDHDMs9px2utbr1g2ZGXKsoVu0PimFpfjbh2aDrpIkbZIkSUiSlCVJUrbyb6UkScWSJE2TJGmg8sgrEmq/jh9Xt5uadHW/UF6Ov3w5Ut9mRHP82a1uArSnTrm2OV3MEFmefYDBU6arJku1pgZ49ln1UFMTcPULV2PAs79EQqp+0GH5wQxf9pQo8FJTgenTgREj9O29ermuYmtXXw/k5qr79uc6T5u2f/bi4lDdEI5+9foFtdxmGxF1NJo7WUkCcPYsUFeH225TTxk0SH5Mia1wfX4Jb3uog1NmVcBpoezp/Y8D585h7FjlK6qwEIVrml+MmKhd+ec/9eu1dO0KhIVBionF7tiJLqeH3TvPsd0nXs0id1fdkIKL1wtpEXVoS5eq242Nap1JANKqr3TT0rQSEoCZM5Wdfv2af5+9e+VHpyL0vFOmoGL/LHj6vf36a8fmF1/oD2kTy50/VsdKE1FU7SYwRRQMunUDJkxQ90ePBu67D7j3Xtdzp0+XH9euVbOKADXDNSxM/3mwf2AGDsTlaXlIv3O87uWOlSb64AcgCiK1tcbtyhfN6dPAJx+qXzra8XP7x6xu4DBU1jstpvXJJ77sJVFwKS9XywLExuKWW9RDaV0uYvHd+bjqKqBHDwCNjaiob2YJdnfrWhC1J0Kg8NbfyoPsTsLDAfz+9wCAuSPUzHCWGGgfGHQlaqnGRmDAAMfuj+e7y8Elg0zXBx+U62b/8Y+QyxJMmeI4ZhiPsjdu365v519cCib232Mva67u26ffv/xyNyf27w8AeH7bWJypUDJgudAcBQPt/DD7dvfu8mO/fkBKivHzevSQH50/JJqg64b8vq7Pi41F+O9/B4wdi8yualmC4upOreg8URB75x3jdpsNjWVVWPKvBux9R/589YzRZ7TaL+s21IzFX7+7DP/eMdqfPSWyvoYG+VGziPCsWUp58ehoAMrYnzIAeN118jmG2eJa7uqZEwUjD7NUCwqM22NiAETKgxOh3dSVHD/7zJcdI7Mw6ErUUnffLT9ecQUAoKSmkxwUNch0DQ1VHx9+GMjMVI/tv9DN9bW3bZMf8/L07e7+QhNZ0cWL8qMXpTHeP5Tt0uZ2EVzNFLb/7FRufj/6qKW9Iwo87RK09jrdAwcCP/+5/ovBWUSEYbMkAceOAZIIQaNNvZSbO1dOmr3+ejhKFYzocc5xvKCMCwJRB+Pm+uns1z/iz9dvBzZvdiwu1yPGzXeWcn13tjIGJ0LlwT/HBR5RR1BXB6xdi7I//tUlK3XsWDkXJfWGSzCi+1m5UUkeSUwEUFqKTQV98EluhvsJUJ7KUREFmxdecHtIM9FPR1eiv6gId14j30sdPerDfpFpGHQlao62nisAxCs3renpqGkIw4ELSjHsM2c8vkxIiHIjrCirbWaqjZZ2WimR1X3wgefjZWqtotxy1yk2zn7yE82OpoZleV0LPkNEVjF5srqdlOT+PMBt0HVXQRLeegvYvC8euUXKd1C/fujVS06aHTlSPbf3VVmObcPBPqL2THsne9tt8sgEgL07G1xOvXKgh7vbvn2Brl1Rc06ZwZGf78NOElnca68B336LvIsJaoKIIiREHg42KTsAACAASURBVJe4594Q3DhEqd2qBFFDQwFUyFmue871wLv7huNQkcH3HtevoPbEy3IZkycDM2ao+VxaYReLfNsnMhWDrkTNcbdYghD44EAmzlfJ02m8qbuqvX+2Sa6ZsW4pU3aIgl5dHfDyywCUgQdtdAjqouxamZma7NcJE4AxY4CYGJyuiPVzZ4l8RDsTwnnxK0/cBF1XfCa/3ppdmpvXhgbD0zsn6UsKPLFpgutJRO2NJAHn1dIayM4GMjIc0zcjQptcnmLU5tCvH5CZiffC5/i6p0TWd1bOYHVezLTXbU4LAmWpg3yorIQoL9MdPlychHf3DUd1Q7i86MXUqfKBimbKDxAFC6cBOUkCluy8BIsXu8ZiU1OBnBzdUjEOoRJLbrQnDLoStVZsLI6XJrg0z54tPzot5umdiAjgoGaFz6wsOW2pmSxaIsto7sJ59WrHOUt/zHIJQGVkGD1Jvl92iI4Ghg5t2cAFkZkMan57xSiKqm2z14UFMCC5zPVcxe8u+86xXdsYhuJdLFlD7dzBg/IUT3sNSvvAh/KZqWs0KA8w2rVmq0vlqHhNiQ4uckodgYff81tud/oc3Xijuv3cc8Ann6B/QqnL857anAOkpwOXXio3rFwpr2qnrX9OFIxef123e7I83pEk4nQI6enuXyZE8PulPWHQlag52oDnuHHqdmSkusiJxvDhwG9+A8xxkwzR7eoxANz8Ma2vB957T92//HI56Hr6NC/uKTh89ZV+3/kCuqYGANBoC1GzxDWUtbJcTJnilBQbGqqrZUlkaa2t/2gQdC24+mfqTkiI45ybx510+zKdwvRTqT9+8nDr+kMUDCTJdZaSEj39ZEUoFh+4Bd8Xpro+TzOIYTdjhsHrjx0rP3KRU+oIlEVRT5Y5FdxPSdGNQQDQj1LU1QH5+S7fP3ZS125q+Y/GRmDJEmDDBh91mijAKirUQT6N/ee7OjJKtJMv5s3z/HI9v10GQF0GgIIb71iJmqMt7j5limNTkqDPXsrOdqyHEhfnVBBb4/Z5UQCAr48P0B9QFubSiY0FevWSL1yY7UrBwDm45HxTqnxmDhe71vSaN899bMpeE3nxYqUhLAyV9cZTr4ksp7VBV4Mvklc/cZphMXw4rh54GJ0GpLh/+xD9oN2psy0ocUAUbLZtM1ytxGYD9uyBPjAUqakNbpCRPn48sGAB8L//q2lMUT5ryiAiUbv2j38AAE5V6IOuV8x3U5N/1izdbtdog/qWo0ZhyxZlWzvjSSljQBRUvvsO+NvfgLfecjm09VRvw/r9ycmeXzJESBg0SP8VRcGLQVei5gwZom53UmvjSRL02acREbqFstyJiTe4+e7UCRg1yrU9NFS9uF+yRD9ERmRFzsGlTz/V7yu1jpbt16/YPmSIvE6JN+66C0BIiOf6e0TtgRDA9OmO3bOVBikPsbEIv+t2udYxEQG7d7u2RUbiySeVbW3QtXdvzEo/ivkjdxmuoB4SAvTurU86l0KU77nDzBinjqOgTJ/WOv7yTsYnamcFAshJLcCM/sfUhi5dgLg4nLRPzjAq5k8ULNaskUunAUCBm9JNBgN6bpdrSUx0bB4+DBQXA1u2ADt3Ko27djEeEIQYdCVqTifji4qDB6GviB0S4m7NEx3tgK5NEsB99wELF7pOI50zR74x6NpVbWO2K1md883ukSP6/cpKNUN1gJztHRMD3HKL92+RmgpACJyp4JwbChL2C+Qrr2z5c5Ub0trGMPx7h2vNSQCQYmINik/qzRxwTN9w4kTL+0IUDIzKMV1+uTrxQntdFRmJMSmn0Ce+rNkV1O2xJEeC65dftrmrRMHgTEUMDlxQPzdD0+shQt2EEZy+i8JDbcjpcxJzR+zWHXdUn+rc2dfdJQqcTZvcHtozap5cjsYpISXF/cQk/WJ0ilWrgM8+UxLBP/1UrldOQYVBVyJPcnOBd95xaW5sBJYtA1CmLlxyz5x6r15SCCAmQj73WHlX+S9vSIjrDbMSkNKNjhnUiiGyFOcark2u2ajHSpTp0crcmvnzm40X6dhnXO884+mqhchCPv9cfmxuPpkRZeBv15kexgtrwfBjplJG+sb1KsS1gw45mqVXX2t5X4iCVO4xzWdHM9Xzf+44pZbfGOBU9snJ1q3y4/aaYb7uHpF1JSVh1VFlxZ9u3YARI3D101Na/DKdwvWrsTvWDa6tbVv/iCxqz8W+hoMKt93m4Un9+jk2o6L0h156SbNTVaWLQ5C1MehK5InjigBAnz6OzXqD+GqPnt5Hja77nwwgKQmh987XH3Cqg+Rgr1Tf2hWwiSzkiyOD5A0l0qqZSdMy9rk5XGSOgkUbfle/OpYuF5hU/P736rHsbA9PHDECmDQJoV0TcUmKOluiptFN4XGiYGdwraSbdJGXBwCYkpaPzpdly9d3118PDB7s8WXtCbLfrBcoDEvTl58iam9OngQWL4ZUVIwTZV3kdS2GDgUSEhCd0IKa+srnsXu0kkk+aJD+uLZ2eUtG4Iks7vhx43Y3k2hlmlprt92sH6jQDbA//bSj3jJZHyM4RJ5ob5A1C105L9AOAOGJsV6/bPKoPsDw4fj0qyg89pj8NpIENYupWzf9E4YPlx+Lirx+DyIrkiSgvkmZZiMEJk9uw4vV1KC0JgpYt84nfSPyC+33SGuDrg8/DEyYoAsmaRdXCPO0LlZoKDB1qlwM+ZprHK/RaOMlILVTzulBEyfihx80+0ppjf3nu8pBnvnzgZEjm31ZbRmcFbnp8rQnovZq927UNYbi0Q1TdM133+3Fc7ULB917LwAlnpqQoIs4HT8OlxqwREGjlbVVPV6zaXT+j2tQ9etj/Vv1nmQuXnETeaK9QdZM7d+zR9lQRqPCp7cschSrxGfLyuSXffRR4IknAPToIR/IydE/ITPTtT9EwaK83LG577xmQEGSWr1+QmgoAJsNG06kAd9+Cxw40JYeEvlPYWHbXyMkRHeV7rxenVfi44HRo3Hzr3oDAOqTera9X0RWYq+z7xx0dbNK49Q5blZfdyMhQd1uqJNca5YTtSc1NXhzzwiX5tRUL557993yCnQLFwI9e8p1LQGXz+Kbb0Kf9qdkoRMFBUdAwJWjlJoBbxO6E6JqXNo2n+xjcCZZHYOuRJ44BTn37QP+8hdNQ79+wOTJkNCy6TDhBrM66+og13f9zW/k6aBaPZWbY5YXICs7dcq4/fnn5UdJwke5Qx3N198cjri41r1Vp04AunTB7rPKQMWyZa17ISJ/00ZIfTRwZh+sGDsWmDixZc+NyOgPdO2K+joO4lEQsdmAb77RrGLlJC8PeOopebln7ZzOzEycCHXKDFJqt2ZM6dGiLmizk0qLlHmeVVUteg2iYHG+ohNOVbhepHk16BcbCyxYoJaBuvJK4De/QXJ6F5dT6xs19zaO1e6IgoCH+/K39roOWABArxaM9YWH2gyzYi/WRrk2kqUxgkPkieYGOfdoOD780KCeqxAt+gPaLE9RqM2bffhGRD5UW6uv8P7QQ+q28qEpvqBZZGvYMGSNbE26niwiAm4XFSKyFF9kujqZMUN+vOoqYNq0lj03IgJAWBjqK71b/JHIEg4fBjZskL9n1q51HcCwf84KCvQL80yYgDXrnG53UlOBnByIni0LujqTJOhmchC1J/saXGsca8vatIgQQFwc5s93PVRS4tTgcWVIIgtxXjzYgwkT5EevSgvYL/IAxHZ2/TycrvC+pCFZA4OuRJ5oLurfX+06TWDcOGDePOD221v+0gsXtqVjRBZTWanfj4rS1/QCsPQFdZXNxEHJrZsirbjqKjhGmB0fU3eZtkRm0i7I6CNGsyW8FREhv8C63J4sWUPBwx6IKSmRS8o4Z7za52s6/U5LcfE4edLg9dryIQKAbt3QYAvl6tHUblVUambxKdkld9zRttc0WkBo0yYA3burDX/6k1++N4l8zk0yVFF1Z7WWoMJeNryHN2N9mjKDdySsxPTp+llNy/ZntrSnZDIGXYk8US7eaxvDgM6dXQ6np8vliZzLh3nDPuNG69Chlr8OkSUsWaLfFwIoLdU1VX2rrmTSmoEKrfR0OFIuSmqUq/iXXgLy89v2wkS+pi0X08ogpzaZ4uqr29ad0FAAYWEouBhnMHWDyKKci+A5ZxjZj2vbFy9GXajrtVtb3HOPspGSguqGcM64oHZrV67m5kYpydGnjeUkhQAuu0z/Ovv2ARg2TH/ie++17Y2ITPT8trFyTWPFtdfKeSjz5wMzZ7bstZJP7cGECa6zmg4XJxk/gSyJQVciTy5cAOB+pcD09La9vHMpmNxcDyd7NTRGZBJt8Ma+UILm5td25hzqmpQ5NSkp6Nq17W+ZdbW8msNz2zQr377+ettfmMiXtIFWL+ty19bqE/m2blW309La1p3YWKgr7nLREgoWztP4nacg2z9bTu2ffaZud+0KXHEFMGUKkJXVum6kpsrl/BEainOV0cC2ba17ISKrs1/D5eQAISG49FLfvOzMmXLwyT7dGgAKUsb75sWJzHLppUBkJIqrXdO5R42SH/v0acVCqI2Njs1B6ep91Ts/Dm9NL8kkDLoSeZKcjCabwM4zKS6HBg3yfvVBd/7wB6C/Jp7rbn0IAPKJzKigYBDrWmuofoua5Tqqx2mfvE1YlDeFkYhMpg26KtlCzXniCeDJJ9XF2LVxpLYOWHTuDAwan4hu0VWuZUGIrGrVKv2+c9DVPuVI8ztdUwPs36+eMneufF88ZQpw002t78q0aQBCQ/HuvuHyNOiGhta/GJFV2b+7lCKUmT6e0ZydrW6v/Dq8DQVjiUygrR0OyB+Qu+5CeZ3ye6xEVydPbmW84Fe/cmmackmF63ksExUUGHQl8qSuDvvOdzM8dP31bX/50FDgrrvkRT0BoMLgb6lDWJh8Yc8/rmR12rtcxdLv1dGFqSOdV01onbaW5CMKCPvf7EmTvM50tVu5Ul4cPT7et12KiahHTUMY8Pnnvn1hokBxDrravxAOHAAAFGRdgyef1J8SE+Obt46Lg/4uevt237wwkVmOHAGKivRtJ07Ij8rvuma2tE9or+HOnoWchk4ULJYvV7evukr+gPTqhY3D/1ueDpGUBCGAyy9v5et36aLfP38ecW/9S9d0tjKGC88FCQZdiTzJy4ME1+GpmBjjmqytNWaM/HjaUwJgWJh8884/rmR1yckuTSfL4hxZDDGhtS7HW2PqVAAJ8gJ3K48MRKONX2lkQfagq/0PfTO0JSn37QOefhr46CN531eJQFFJ0aioZ1YRBYkjR1zbmrkWyivUj8oNGuS77sTFAYiKQu84peSBV8tRE1nY0qXA8887dvPy4Pjuio4GHnzQ92/pMgiS4jqrkMiytOtWDB7s2MwrDJfLrAnhqLbWZkeOACUliInQ1+FfeWQg4wJBgneoRM348Zxrpuuvf+3b9/Aq+encOflxxQrfvjmRr9kXnRsyRG2TJKBTJ0xJy9evUtsGkZEAEhMBANtO9cKfN05CRR1LcJDF2KOoXs4v++4798fmz/dBfwAcq5NTlgoHTPbNCxL507Fjrm3ON5pOC2t9szNOt3/rrb7tUmofgcJy5T2io+W6excu6OrvEQWb8sJyLH6oBm+8obb9+teGY+lt1uLalkRWor2mc3N9N3Cgj95r6VLH9+C87F2O5oKyeNdFJcmSGHQlasax0kTd/hVX+PdCwe1i0vYp23v3+u/NiXzBntmXnQ1JAspqI4HDh4GQEHQOb5AL6vnItEn6WnpfHUtXByiIrOAHpZ6xl0FX+xpXRqKi3B9riW7dBRAairOlzHalIGBUz9456Lp6tdvjsbG+v247eVJ+fHXXSDRU1snp6P/6F/D22759I6IAOvmXt+SVGy9edLT5M5F74UJ1W+qS4L83IvI1bU1AJXvKubz3uHFom6lT1W2ljE3fLmW6U/buYdnBYMCgK3VcjY2egzNlZfKUaCfj/bTApr22UXGxmxPmzZMfvZyiSmQa+6hrjx7YeSYF/9iiLHlbUoLBSUU+vfvtFK+/Gd93vhvw4otAiW/qxhK12Zkz8mNbV15Ei0vCujVhgvxin2/xQ/oSka8Z1dVwDrpqFtCqbgjXjWDPnOmnfqWkoKAsHptfOQjk5spt+fl+ejOiANq9GwgJQf9L/BsIjY4Gpk+XtxtDnT7nXMOCrMy+0inguDjbulXf1OYBi4kT5Uf7DELFgAT1Hufj5QznBQP+X6KOa9kyOTjjbvWqFSuw84y+vlB2tk/umw3ZV9L9z3+AxYuBNWucTujTR350+sNLZDrn1Dz7hyQ+HrmXqvOh+3UpRXxUnU/funNqkkvb9lMpwLPP+vR9iNrMy4hpnYePiK+Crp07Q07JqKrC0aO+eU0ivzH6xfcwpXLV0XTdvj+u2667Do65o+dKuKojBZnSUuDDD+UM8Q8+cDR/cCBTPUeSMHuKu0wQ37EnstfXAxgxQj2wa5fh+USWkJGh27XZgDJNEur99/vgPYSQF+jSBngBXD1IU+ecgxNBgUFX6phqauTpzgBQa7Coj80G1NYi/6KycmA3ua7rpEn+61KPHvr9TZucuma/a3BeXZTIbC+8oN/PyXFsHstTv2byLvo+YyIivpNL2/r8NJ+/D1GbeRH5OX0aOHTI/XFfLaQVG6tslJXh6FE50Lt/P6/dyaKMRgY8LB6y95xv6oZ70qcPHJ/p3KKuKKrmgDgFkZUr5ZUav/vOUb6sockpLCBJiI7xU6aJhj3oWlcHYMYM9YDH1YWJTKaZtVdcEYHHH3dUAADgs+UrDAcdEzvVYFRPZRaVzYaqKh+9F/kNg67UMWlTieyFuQA5ytnYKF+MnDqFi7VKAb0hQxAV5Vizxy8SDOJRa9canGiv7UpkVdrRX3+lhhtJl7ObqhqUK3hGkMhKmvksVFcDS5a4P/7b3/q2tt7kvvkA5FnRjz8uJztt2wasW8eyyGQx3iykpRQ8dvzZT1ezXfv3932XOjmN9314YKjv34TIX44ccWlynt0HQK1J7kf22FVhIfQji1yUjqzMHgyNj8dzL4a51HP1mYICw+YrBiiDkZKE8nI/vTf5DIOu1DFpb35XrFC3n3gCeP11YMcObCnsrTt/wYKA9c5BO2Km464kApFFbN0KvPYaAhN0DQ9HUqdqIEW9YSip6eQxE4oo4JqpZbx5s/tjc+ZoslN95PJ++QD00+G+/BLY+J9cvHjrekjPPMuBC7Iu57/vcXIN/oKyeHk/IgL9+gEPPeSfqkyOoGt0NACgsj4CL24fjW2nevn+zYgCwCYZXK/5M9tEYS/B//HHUBe4ABh0JWtT7m+2nujhcsiH6wW7FRnWhIjQJuDCBcNJu2QtDLpSx2RUC8we4SwsBOBaEyw5AOuN3HGHa5u2KLfDP/7h974QecU5KDNjBl58UQ7enDihtPXrBwDoFev7odg+fYC+mdG4ZWw+fv3bELn2EYBnt45zXUaUyEzNFGR1F3RduBAYMMAP/Rk2DKGRBqmzSpprU/FFDvCRde3cCRw8qO4rf+/f3Tfc0TRnjmtGqq+EhAA//zkwoFcNADnoeq4qBiuPDORYBVnbgQOGzXmlXVwbtTVW/SQtTX7sZR+vsM/LZtCVrCwmBgDwJa50OaSpsuZXdwzfC5w44VzylSyIQVfqmIyCrl995dhstGk+GnFx+MMfAtAnGGdj7Nmj2bEXlfWwgARRQDkVoDycfJnr1OS+fQEAtw7zfWmMiAhg3i3V6N4/GvHxUIuDAZ5XJCIKlNBQ+feyhVnfM2bIA3FKIp3v7duHjLjTulXeteqbPGfmEgXc1KnAAw/I23l5wHvvyduSBJSW4r19w1DbqA4k+GrhOXeSkoCrHnQdEXEMOBJZ0bJlhs1HSvQLky6asEl/TeUnqanyY3w88PXXgBSqfIYZdCWrOncO2LNH/l3t4jpY4ctSUI4PiIGkzvKgH8sLWB+DrtQxGeXha77caxr0fy3DA7QwbUoKcOWVwK23qm26OvKBrI9J5I0LF3S777zr+juamgrMHnIAcZF+CoJedhkwd668ma0Z7n3lFf+8H1FLREcDmZnNn+ckJ8exOLrfCAH94ERlpWPzQlVn1hAna5k40Xh0Wqk7ebBInZKkrH/qd0lZvVzuuTneR8Fm+yl9PdeHcjYhKqwxIOUF7IMjBw7IMz5K+o6UGwyCWUSW8OKLQGUlNhzrbXjYp7fr06cbt2dmolOYPMNDkzdGFsWgK3VML72k33fK9DlUrF64D+gWuOmVQgDjxgFDhujbHYmtfkt5ImolL64sunYFhnc/L+9ce61fuzNprlzKICGqhlOjyXylpXIKgr9T7lopPbEEsNmQnQ10jmzSZa6/tnukfqFJIrMJYVwbOSwMx0v1q5HaE2IDYeRQfZTVdvgo6yGTdY0b59L0xZFBju2RPc6gU7iSiJJisLiWn51JuUTe4D0PWdz6/DSXtoce8vGbaAv6X3aZ/DhxInDjjQgNUb5nuIaF5VnzLoAo0JyCsJ8fVi8+rhluzjyx3/1O3XZkTYwcaUpfiLyRf9E4K2HWLM2On7O1o+Ij0WNwPEprO/Gel8z3ySfy4/nzLXqa88Cbv4zofha/u6cUN9wAdDl3yHWggplGZLbDh/X7RgMYeXkoru7kPijrZ+HR+inYdV+sAXbvDng/iLziNJhWWa///b128SWB7I2LDz8SQFSU8axEIovzeR1x7QtOmwZcd51cakepYZDcuRpdE1iKw+p8WXGCKHhppkhfrI1ybF876BASos2pa6fU5wYgB107dULg6hwQtcLr564ElBjNtdfK0zsbGpSSYJdcIi98EoB6xGejBwD4AUdLEpH4P08iad51gYtiEWnZBxma+b0vKNDvB6CMHgC5ezFR8sX6rZcWILeyEJX1EdhU0Ec+4bvvgJkzA9MZIiNK6QCHyEj9/t69wO7d+OLIFGDUSCA6GiOyAjviZovqDKDGsd/QFMKZFmRNFy441S0D3t6bpdsPsSkBnD59AtUrV5GRrNNB1lNVBXz4IQCgyaZPIvnpTx1r+fpWlBKXyMyUBxVHjdId7hFTiTN19QAiXZ9LlsGgK5GT6gY1sNkpvBGYPNXE3sh0g72TJgHffitPXWONVzKbckMsSdBdoF/inChhz04KxCJwyudi6Y/yjcQD0ufo9jSDrmQC++99M+UFior0+1e6LobrP8pnMj6mCeN7F6KhKQSbCvogJZZBI7IQ+4rmzj7+WN2OjARCQzHm0sB0yW7wIAlrNPtnK2NYXoCsyWlxKklSfl8VCT0igbQ0+TtrypTA9k0rIsLtIo9Eptm+XV7EEcA3+f10hwYO9NNtuRDA//t/xrM4brwREYcOoPhQMSQplmEBC2N5ASInnx4c7NgeknzB/yuZePDTn8qPuqBrp07yVRJHgMkKSkoA6C8+srMNzrMvfhKIqZ9OVx0vbB+DnTshT1N1nqpK5E9eBF6qq4FvvlH3f/c7NbEhIPbuBbZtk28mAISH2tAnvgyRSTHA4MHNPJnIz+yfIQ8DFxeq1O+XSZP8lG3kQdeZI7F4ynosGCUPQu48k8KgK1mT0+dIl+U6eTJmPXqpfL328MNA//4B61Z8vFNDWJhLgJgoYE6eNP7903x+SmrUaf/z5/s5DyoszPgNQkLww5meQH4+3n0X2LXLj32gNmHQlToe53mcGjZJ4FyVPOIbFdYIMXlSoHplKClJflTiWjJ7bZfqapfzicyy8URfR8bcDTcYnDBhAjBjRkDqEt9+k+uAxPffA3jnHfmfzQYcOQJ8/jnr7pF/2TO73WR4b9kCPPWUfiaytrSMX91xh/xosykfENXF2ijkXUyArZo19chkpaXNnvKv7WPljZAQTJzo5/4YUUoe9IotV9sqK03oCFEznIKux0oTHdu/WyhMG2ebPFm/X1Aaw+QSMkdxMfDKK8CqVa7HNIkjBy50BXr0ABD4gT6HgQMds5IOHwY+/dSkflCzGHSljqeqyrBZkoAVh9SrjbuzdwNZWYbnBkpionwtf+aMptGeMegheEwUSI66Rp5qDoeHAzk5AVnF3T5YoaWbpbZqFbB0KbBjB7B8ud/7Qx2YPVPITdB18+YA9sWZvRxIaqrLofK6SKC8HMUHLwSmJAiRO/ZF6Lz57ggJMbX0vTYRaf9KcxZhJfJIk4FdUKZPLw3YgJ+B4cP1ZXVK8iuAE/wMkQlqlPrcuptvxbff6vdtNowbF5BbG2NRUbh+8EFdU1OTSX0hjxh0pY7HzV/G9flp2H22h2M/uXM1kJwcqF4ZEgLo2dOp5r0905XBIrKIfee7yYMBERH4yU/M7g0QHun6GS+/qAkcbdsWwN5QhzZ6tPyYmelyyGZzXWvHZYqlP9mjU5s2GR+32dBoC/Eq05DIL7RT9Lt1U7eV311JAv60QZ2R5JwtZ6YP8scwUY+so6EByM8HLl4EABRVd8aru/w/88hb4eHAuHHqfohgeQ4yiac1KGpdZ//MmuXn/jQjPkr5olFG8VlFzZoYdKWOx03QdcOJNN1+2C03+b8vXujZEzh3TjNyFdBif0TN++TgEMdqmkOHmtwZAHF9urg2njwJm8QK8xRgMTHA738vZ3k7MZp0MX9+APpkZ/8urKpyCaxmTJIDXHVNYSxlQ753+LBxFpEz7U3vVVep29OmAQAabKFokpTf47AwU9f9cdG5Mx5/3OxOECleegl4/XW5xBKA706mytOCBg8Ghg5F6lTz1q8w8kOd60AlUUDYpyx4+I6qa1TLDJi9eFVUWCNuyDgoD6ysX4/33ze3P2SMQVfqeAyCrsdKEnT7N2QcNMxMMkNKilzL+8IFpUGpHUZkBYXlcfKGUufI7IsPABAhAn+YuBH3X7JDbczLwz++H29ep6jjKC0F/v53oKxM3o+MNPxgHDni+tTYWD/3zUuTbpRrdBSUxXMxE/K9d94B/vOf5s/TzpPU1g0YPx6Ii0NDk3o9N+WhceZ+/yhBXWNUkQAAIABJREFU4cyuSjmEoiITO0PkxOne54czPYEhQ4CePTFxdjfM+3+9TOqY3jXXyI/5x23yvRm/fyjQtF8kbhZEfPo7eSB95ohzgehRs7J7nMXEPizHYWUMuhIBeGvvCHlDySId0f2sNaJHkDNdAeCHH5QG7V25m/q0RAEhSVh+MEPeFgJ33mlud7TCQ23oGVuJWelHHW0V9ZHMdiX/On1arvlVXg7s3ev2NJsNWLFC3xYXZ2JdMCeRUQIYNgzr8vrJ2RNEZvBUTzgsDFsK1dVLwjubWMwVALrIMyx6x5XrmvnxIUvQzJI7W6kUbw0LAwBceql1vnu0+S67zvbkB4gCTxtoNQj6n6+KlksvAbqBP9PcfjsAYEpaPgBgWCZLc1iRBX5TiAJMmzkRHY3K+gh1Py0N/zV6h1XirQDURYG2bQNyc6EPBiu1mYhMYbOhqLqzY9e+Lo+VjO9dqNv/vw0GRf94UU+t9f77wEHNIgZLlqgjZB4CRl9/rW6HhcnZPXPm+KmPniQkGDZHRglH/fADuRb6QqSOxdOKIOPH49uCvvJ2SopRqb3AipCvJcf3LnSsJo36enWWEpGZNIvv/nvHaN0hK02gi9DckkkSgMpK0/pCHVBDg37lXYPruJVH1FIcDck9A9ErzwYPBu66C6EhErp2rsLZLflm94gMMOhKHY/2D+gDD2Bvzn85bi7HDSlHj5hKNb3UArQxVvsivg7l5SCyguHD9RfLQeWxx8zuAQWjxkZ5JOy99/QX6XZugq6SBHz/vbp/xRXyeltdu/qpn564qREeFQVHyZBlK01c0praH/vK0N4w+AwdPiwvQPdD6Bi1sWtXU1deBwD0lQPAQgD3XbJTbsvNRWGhh+cQBYryWapvCtU1P/yw40+9JTj60ru3XK/5ww9N7Q91IE1N8v3Aa6/p2xQ2G3C0ojvyLyrrRvTvD9sAi9RC7t8fAHChOhpFO0+wFL8FhZndAaKAc8p0Xb09GsjKAvbtw8TbegGhD1qnsJ4Tl6QPK6XkUscTGirX1qutxfXXm90ZogDTTkH7y1+AO+7QHz91yvBp336r38/O9nG/WsLN3XZYRIh6zFO2IVFLffWVd+e98gpw8qSuqbrasQ4QAPX6Z8jARowd65vutZoQwLx5wIkTwLp1uHfUTrx0eDJWroT5fSNS5F5IljeyszF0qHXKCmj17AmcyQ/DwaJk4Nw+s7tDHcWaNa5tmuufvXuB5buHAVDaoqIwYaI178Of+lkesq5Lw02zrdm/jsiCf2qJ/Mw+1+uaa9TZNp06AWPGIKZ7NJCcbK25NgBmzJAfHZmEEyfKj3v2mNIfIkCZlR8VheT0LvbSYJZkr3PkcPPNQO/ehucStdrSpfr9o0ddTmlqAtatU/e7ddOvDxRw7j64SUlq0PWcNRaKoHbC23IuTgFXwO2aJpieU2ONMei+fYFJkwAAveIqODWaLOeTg0Mc28qvquXcfz/cfzcR+YvLdFLoZlucPw/dl9Dinxejc2fXp5hm2DD8ZOh+efvECezdwnRXK2HQlTqe9evlxwEDsHKl2pyVZUpvvHLJJfKjY0R6tFKPKSXFlP4QAcCmTfKjUp3DWmbPdmyOTjmtPzZsGDB3rr6NN8fUUnl5no/bB8c0tLVcAWDBAh/2pzU8/N4PH6F84VRUGFZPIGoVbXS0hVnU7oKuSbEW/wU9ckSui0BkBuWDo130JyG2ET16mNWh5l12XTLCQ5qAjAyzu0IdhdHMH813lMvAnqkj5gZmz0ZCJ31x861bTeoLuWDQlTqsE4WhOHtW3b/uOvP60hx7huvq1UqDfQRYUxifKFDq6+X7xw0b5H3TFzAxMny4YzMy1HX1UZeLJdYNo5ZS5zkbGzPGpWnLFnV76FAL1EF2F8UCdCVDOCZBPqOdz+ztbJ30dABwrY+alISfDv/ReiUwoqMBAOmJJeiVIslZ8M39vSDyF+XvfGF5nKNp1gRr/1EP6xSORlsIpNyDzZ9M5AtGtTaU75bGRmDzZsifpZQUpE9OAQYMCGz/miMEunau0jV9+aVJfSEXDLpSh/Xau/oFRKw8k0X7PVBcDHU07sgRU/pDHdszz+jvH01ZAKgFwoZoCt1feqlaYF67cjujStQSHoKV7uzYod+/+WYf9aUtjDI1lPTbsDBgZEYNIITXZTiJmqVNF/K21MCIEQDkNet0QkLQLbrKekHXBx8EAJTVRuLUOxtQXmetklXUwTQ1ob4pFOvz0xxNg9PqzOuPF0LDQyBB8LNDgXPQIMCvfLesWQOgtBSQJPzvjbm4/eFBllxXJXy2hTPIOjgGXalDOlqSqPtjOXSoiZ1poffeg34KxIkTpvWFOqYq/UCq5RfREtddq+5ERmLFCmX7F7+Qa1cCQFFRwPtFQez48ebPccqa+Pxzj4fN4Rx0/dnPdPWOM8dGAyEhhqXOiFqlNTeqDQ3YuNGgPT0d8eMygEGD2twtn1Jq7lyoljNeDxYlm9kb6ujOn8ees91xoqyL2ma1LD0nNbXy34mXfrjE5J5Qh3ZaLk+Wl6duR5w76W4NUvPFxJjdA3LDCpf8RAH39l59Addrr3VzogVduAB90NVoZI7IT0pK9PtDh1pu3TnV4sXyv5gYdL1pomPViNJS5bgQjmmrRC3SXGbdhAmOKcZGp//2t37oU2tMn65u//rXQPfuusMD0pqApiak9W15Zi+RIW3Q1cuM8QvlkboF6Ox+94dIiBtvsOxUpesGHwIAHC5WBvdakSFP1Fa2l1/FF0fUgYl7Rv5g2c+MXZQyGbGy3uwaPNShrVgBNDTIHxchcNOQXGv/HdfWrLJyPzsgBl2pw6kRylKDmgyfqCg3J1vI1Knq9nffa25aLDi9gdov59Kn2t9LK7tzbqgjtVC3GLvVCuFTcGhuEa3p03V/m7WDFd27A7GxfupXS/XtKz+GhQHx8S6HRaR8Ab9nm7WnolIQ0f7NbTSot23gle+NpyNZPalnSPIFAMrsKgDYtcvE3lCH09gI/Pvf2JzfS9ec1LnGpA55LzQUht9JRIHWUFKBU6cACIGs7ucAm83sLrkXFgYBJdjKGXyWwqArdTgv7xuvK0L5i18ER9wyJ0fdXv01g65kDmV2DQDgvvuA5CCZNRkfD0ybZnCgZ091m6PC5K3vv3d/rE8fl6ayMnVbSbi2jl/+Us5yNXLsGPp1KYW0dRvwxReB7Re1T97WcdWordNf52gqYFjXggWIClODypIEzkyiwPr+e+DsWazN6+9ourT3SXQOb/lnMNDGjoUjG/fiRXP7Qh1bSbFyb2DP2LBy0DU0FPeMUgb38vMB8NbGKhh0pY4lPx/FF2yO7IrYWCAx0eQ+eSk0FMjKav48okD45S+BlBSze9EyEyfKSVa6WkyZmeq2lS+kKHjY6wQrDh0C3n5b3df+yllCQoKuFIJOnz5Iia2A1GTDjk9PBbZf1D5psz09TTNSLs4cU/M1Zs8G5s3zdcd8rHdvCAH0ii0HAHxfmAqcPGlyp6hDaWhAk00/YHFF+jGTOtMykZFQVg4G/vl0A86edTph3Trgm28C3i/qeN5836mGWoSFS15ERqJ3XDluG7bP0cSPiTUw6Eody/bt8mO5fBH8wAMm9qUVZsyQH3WBYma6kgmsPq3TnYYGD+U4rbYCNgUnZREdu02b1O077ghwX9oqJ8fxFfP5YYstVkTBz3lVRgOfnR3t0paQoFbGsLT77kNtWgYAYPWxAUCN9ad1UztSX48DF9SZfdnZJvalFfrEK1NEmpr0pa0KCoCNG4ENG0zpF7VD9fVuD1VVQZ8uevvt/u9Pa3WRF8vLSFZKCxQX4/BhE/tDDgy6UseiSXFLT3e5N7a82FigXz+nxYx27jStP9Sx2K9JunVrp6VQXVIpiFrh8st1u9rkNncJpZYVHo7J/dUfoKHK/Y0JUYt5SsGx2YDsbFRkXupouuYa4P77A9AvX0lJwdg71cEKCRwkpwDasgUf5ar1kK+fXiXf+Iwfb2KnvJd9+xB5o7QURUXA/v3KgVdfNa1P1E59/LH86DSaV98UKidkSBJuyVR+ARMSAty51snucRYoKEBFhdk9IYBBV+polIV0IETQjfjauSw4yswJ8jNJAlauBN591+ye+I5hJYFXXwU++STgfaF2RjMi4Zw8beVZae6EQ63/l/+3j0zsCbVLdXUwTMVpalKv2QDExQGjR+vLcAeDsWPhqMVT02DtFeOpfamoU79wLks9Kc9aeOghYNYs8zrVApGdlUSZQ4cAScLq1QYncYYS+cKJE/Jjt27yui9TpkCSgL98O1HOOJEkDEyUy10EywzTjOQiICzMmwklFAAMulLHckqpSScEhhovhmt59jVaGqKU5a8tVyCQ2pvDh4Ft29QF2z3MwrE8+8flwgU3J+zZE7C+UDvw4IP6C3Cnv8fffac/vXPnAPTJj5auC7KIF1nfZ58B77yjn8Jz8iRQUQFbkdoWbOWg7ISAY5bVKz+MNLcz1GFUlTfhb99f5tif1PdE0K2okxCjWfDLZtMtSOnAEgPkC9rruP/+b5SPmoJHN0yR9/fvRwJKER4aXOs+ZCQXyasII+g++u1Ss0FXIcSrQojzQoh9mrbFQohTQojdyr+r/NtNIh+QJBSdUId7QoJ0yME+PbU6RCmqGSQjbhS8nDNcXbKtg8jx4/LjoUMeTioqCkhfKIh16wYMHQokJ+uvZkfqgyrKOiAAgN/+NviDrkQ+Z/97W1entil/oOuPFzqaPK25ZXWDp/UGABTX8A8ABcZbjxzV7UeFNQIDB5rUm//P3nnHx1Gde/83q91VL1axZUnuvffecQEDxhgwpoTeCaTcEHKTkBdzCTek3UCIQwg4MdWAiWmm2JjmhnHvcq+SLVuyVa2+O+8fZ2bnzOzsaiXvzuzMPt/Px3fOnDmT+yBpZs55zvP8nrbRcVA2pnU9hvuGb/Vtynz1hSaylf/IEsSlIhXaltUGZMoPWXtd0NTU8hgisoTidloCQC8P4S+iKA6V/n0aXrMIIgJ4vahplFJtJKFpKyIv2i80SZGuVg47JCxJdrbZFrSd665jx/37uc7Zs9WDfMJhBAGWvviHPwCvv87ORRE4dw7Yt6/FW3fsYMfJk5kmtyXp0EEpaEIQl4JeuI3exrEkuP/BqREALJMNHZCrrosHOnVCt4xy4MwZs80hYoCSU4qXZVaPI6zRp49J1rQNIScbU7qeQH5aNXD6NABgzac1KKnhKrnSfI0IB7W17Lh9OwCgvl59+ZHOHxls0CXw858rbembW1Fhki2EjxadrqIorgFwoaVxBBHtNNU14/uifADATf/PulWY5eJfr37PKuL6fRkIIozo+fSvvdZ4O8JFfDw7SvN3hlYksK4O2LjRMJuIKGf1ajYhP3IE2LPHX4KiZ0/d23gdLU1tLWtx442Y01sJDa+tajbRGMLS6OUHy1U+eIdsWhoAYH8mS4/W1eC2EGlpQIHrLPMvv/QSi6Zatoyi9IiIoJVPGpVXbI4h4aS8nB0rKvDaziHm2kLYC742yuDBaG6W6upKen5PTF6D7KRac2xrC1zR8G7l2wCQ0zUauJQE60cEQdglyQ8ELOMmCML9giBsEQRhS2lAET2CiBxNTWzxu+aLehSW5QAA8rtat/S6rxCL3KBCWkQE+d//BXM4SR6kYcOsneYpreXVaJ2uGzcCn38OnDxpiE1ElPPdd0r78GH/Fe2NN+re9txzStvSKjBZWchJVhYc57bQc0G0kZdeYsfp05W+mhp2lJ2uogjU17NTaZ7TbAM/f0rfAlxslOaeRUUsQu+TT8w1irAln3L5p32zyyynRalCEnP+5fRN7Dw1FbVNmjXcoUMGG0XYCi733nPNPPz2t9JJp054dPT3cDqs+/zc0J9lZMl7FoR5tNXp+iKAHgCGAjgD4M+BBoqi+E9RFEeKojgyJyenjf/vCKLtvP028Mc/Akff2+7rs7Kuni9FVdZmos0MItJs2gRs3gyIIoYONduYSyMjQ9FF9uEKsAmjrYJEEB6Pv6ix2+03rKbGZhpa48ZBAHOKNXstKohOmE+wTWLZs7p2Leo/XMmqRkvi+926GWBbhEnOSlAkrpYsYUe5YjZBhJFjx+Db6VswYE/wwdGOtFMeXyD5EDIzAUFAk4f7Dr31lgmGEbaBK/Jy8pSg6s9KsnZgU5KrCWhqwmefAQt/40HlJ+vYPJYwnDbNnEVRPCuKokcURS+AlwGMDq9ZBBE+jkhSRsVSds3Q3BI+8t5ypKQAubkA4uOpGiFhKHfPKUWXLmZbcenIad+6lXB5KHqC0NKSJzUrC4AS0AdYt+q6in79cM9wtnFZVm7hDygRHVRUAOPGqfvkheDu3Xi/sC+avHG+xXCnTgbbFwGSUwXUNrngFblFPS1+iTDjWxeUlqIgrcraWRYAS6266SZgwQKlb+JEHJ9+j3Ju5UUdYT7cYoDfU8/vbNG/Ky4dURDgK0KHU6fwlz82syAawnDa5HQVBIHPxZwHwOLbaITt8HrVYpScd/Lavvt1brAWcjbevlJp55fEWogIcOgQfJFJ7RLqZHkj2yBLCQLQX9WPGGGYLYRFaGpiO1+A/t9Hu3bwetV/W+3bG2NaRImLQ4dk9uH5fE0SfXKIS6OszD9ivK4O+PBDoLoaB85L1Rot7zFSSOmSDREC3i/sSxvmRMTg5eiv6aNocVu5gDD69gWSkjBnjnQeFwdvGvffYwf9EcI8Xn4ZogisP9kJixcr3bfdBuDRR9Vjf/ELQ01rM489prQLC9lR2uTbsfKsCQYRLTpdBUFYCuA7AH0EQSgSBOEeAH8QBGG3IAi7AEwD8NMI20kQreO99yQxSgm5hDQA/Nd/GW9PmBkiacgfr5AmHS2G7BFE63nzTfh0TX84erN+5WkLMnMmO77yilKwFGPG+A/ctMkwmwiL0NioyFFMnKg7ZNs2pV1QYIBNRhAXp9IF/OwzE20hrM+JE/7VsZYtY5Wj+eKgDgdb+NqA5BTmQN59rgO+Pm4DvQQi6hBFYOVK5bx9MlfNcepUw+0JN127Km0xSasTRRBtZ3tJR3xxtIfvfPJkKWBUyl7yIVezjnbk4AAZrxc4dQoA8MXePBMMIlp0uoqieLMoih1FUXSJolggiuJiURRvE0VxkCiKg0VRvEYUxTNGGEsQIbOPCUdjvxTVKjklp3Q5HqCSjrWQ/UObT+fjREW6bZxhRPTgi5YQBDgdXiYkb/US0hK8f/WAHAgycKB6Z5gg9HC7FacQpwOG3r2Ba64BAKxYoXTfdZeBtkUS/r+1okJ5bgiiLXTpAnTooHupuoHTSBYESxdu5OFrCaw50UWZttnku0qYz1kugC09XvpOxcezwnWDB5tjVBjh/V+07CHCyUcH+qjOBwwwyZBwItVSemDEFpWUzcVzFwPdQUQQqoZA2JqifyolPCd2PolJXexRddm3CBk5Ep8d7qXoDRBEmPj6a6khCLhjyA5f2w7wWa38IgUpKcD8+YbbQ0QBn38O/OlPLY/LzmZjAbWO3C23AMOHY49GbMk2UnNSamqX9ApfpIdq0evxAA0NJhhGWIrMTHaMiwMGDdId8tnhXsqJICA+3gC7DED7+dx6Roo2Iu1wIkzw7+QB7aUiu7feCkyapN44swHvvAOdqqgE0XqqGvw/MrZY7txxB9CuHTqm1uDyvkrRRodAOxZmYK83MEFIlF5Mwm/XTMaus0okxYzuR1m0ng3wFVt3u9HoiSOnKxFW6uu5ybsgoFN6FWtr02xsAK9/BoBtby9cqJwHq7ZN2IeNG9l79ORJ4JNPlOiz7dvV47ZuVdo6i9j33lPa994bATvNws2iD6d3P+YrJsbLpuOdd4Df/c4EwwjL0NysFPTwenVXtUVVaYpWvYRdnK65uYA7Tok2WnGwN2tQpCsRJvg6j2MLiljDbmL8POPHK20qSke0kVd3DPG177mHBYbn8J8hq1ZyTEkB7rwTADDuyBv42bgNAMCKOZ6hJHWjIacrYUve29cfzV4HNhXnm21KRPCtVZxOXKhLBNatM9Uewj6UlwPPPqtxqMj4vP0xRFWV2RYQRvKvf7HKrq+/zs61efR8wY4Wwlhzc8NsWxTQOb0S45vXANDM2Q8eNMcgwjqUlyttHUfjxUYXXtk23Hf+w1Gb8MgjQGqqEcZFnoQE4FeT1vpfsE04PGE2vnnb6dNIi7dn5sEtt3An/MYnbZATbeR8HdN+yUioR6dOLDBctSeYnm6OYeGAk1RMjecWdtq0LCLikNOVsCXNXvWf9szh55kC++OPm2NQBBg4EL4Jh1hNka5EeCgt1XScP2+KHZEm5AKkvkpbhG3RizQ7dizwNRlNpN7SpUr7ttv8i7NbnilTAACpbraYX7LERFsI68HnPg8b5ne5rlm9qZeTXIvs7EgbZTB9+uCx8SzaCLm57Efy7bemmkTYB9nveE/KO+YaEkF69+ZO+G8wRboSbaCiQmnfOGCveYZEikA6CevX0zNjMOR0JWyH1yP6dq0AALW1GJFUyHLU+EoGFufKK5V2k5ciJYjwoMqYPn8ek3L2m2ZLJOFTVjds0Bkg54ZT9IT9CeRYr61lBX9CoL5eCYrt3Bno0SP4eEsybRqQmYkkl5LDSgGuRMjoOV0ffBC4/34AYFJJEnwavq246SakPPgDtoHRowfLxiooMNsqwuI0NACFhcCHHwIQRaS47Bnl6sdwJTIeF6k4ENF6nntOaeddP05/kJyNYIOJXe5l/QFIn2OqRmco5HQlbEf9gRPqjqIixMc1+6eJWpykJKlYdvv2qEvMNNscwiaolCqOHMHUrsfNMiWi8M7ltToZn75qdbQTHLt89x3LkAgEJ7dRWKh08+tA21FQgH45ZSw85Nw5vPWW2QYRlmDXLuDTT/37c3OBPFZQqsmjvJRndD9qlGXGIghA587o208AXC6sPNbbdgWOCONZtYrJajc3A6irQ3pCbDhdvU63csLrrRNEqEiOx56ZF9SiyDyzZgGjRmm0LSwEp+tc0tAOANDgcZLT1WDoS0/YjvdXqqNZ7+r+rT2qEOqQmAhAEFB3gaLxiPBw/Dh34nAgzmHfj7IsMTBpks5FeWebipzYn0CO9fp6RSMgJ8f/Ovdh+fBDpXvo0DDaFm0cOwZ3nAfu3VuBffuA5mac23HabKuIaGf5cuDEiaBDPjmk5A3HxzWrtOjshryX43XFU4QeccnwKlApyWLMVCd/7z0AI0awk4wMU20hLIpU3HF8p1OBI1mTk4GrrrKu/vaMGb7mwIHsWNfkBMrKTDIoNiGnK2ErCguBQ6cSfOdPTvkGXZzF7MSGH2SHA4DLhQNlWeQcIi6J2lrmY+IZ3+OsOcYYhCwxsGqVzkV5ckWRrvYn0O/Y41EiH7xeYN483WExVWtN2qH4r3HfsfPt21GyhjQGiEujqCoN5y4m+87tvNkHAAMGSA23G2INOV2JtnPqlHqzfMhA7nvmdvuNtxP79gHiuPHsxMrFjgjzkIqj5qVW21fqhXs2evRhgQRHyjOBjRvNsigmIacrYSve4bTjZ3Q/qo5wDbBgtjJ5eQASEljhMK3HjCBCRBSBP/wBePZZpe8nPwFmDShWOmSNUxsRNKtTvrhrlyG2ECYSyOnq9QJbtrC20wm0a6c7rJh7TGbNCrNt0UavXgCABCdbqODiRSxfzl2ndDWilezbBxwYeL2qL9nVGGC0PUhNlRqCgPqT50y1hbA2r76qPr9sIvfs9OljrDEm8P1OKdCmpMRcQwjLceECAIcD2Um1ypzGjqSns+quv/wlzpUyx8iqIz18DmfCGMjpStgPKeKzf46mDLtV0wKCkJoKuBPjWCEtcroSbaRRZ33rV3ndrjvAEn5+N/l9odJbIGxJoOrhoqikON98s+43RBSBFSuU83EB6jDYBq4C3b3Dt5loCGEX3n0XWHtSKVh3z7Bt6JpRAcyebaJVBlFZifrqJlYJiSDaAO83GTYMiBO8+hdtxK23Ku19h6VoXt2KqAQRmAMHAAgCymrtU2Q7ID16APHxsoQ6MhLqgb17zbUpxiCnK2E/RBHp8fXITNTonNq0WEFqugPVDW6qsk60GT3teKcTwGlJq9Guosgcflk2Nn1fEDrs2aPfv3MnsGYN+1vIyFDrCDz6KABg82a1JKPtH5WkJOCOOwAA7ZN10qIp0pW4BPJSq9EpvQqC2wX062e2ORGlPysijfpmZ+ACLgQRhLffVp9ffTXUO8hTphhqj1F06KC0G0WpoKX8QBFEiLhciLm5/oABAIYNQ1VDfItjifASW39phG0pKwM+/lg68XpR2ZAAjB2rHmTTF2tyuhOltckU6Uq0CVEEli1T9/XtCyTEc86TLl1gV8ZLcmBffKG5EE8TEkJC1svu2FHpy8oCoF+Q3fZ06wYAcMd5kB6v+e6Q05VoiQkTfE3tn8uCAdIGyKhRBhpkDvJ/YlltEjldiVZz4QKwf7+6Ly4Oaqdrbq6hNhlFSorSLimBfqFLggjCiy8CW7cCEASkumMn08DhAJCcjPpmJ2qbXGabE1PY0wtFxA41NcDRo1ixQnp5AsosXjvZsKG8AACcLnPj3MVkiA321kAjIsPq1f5FpRcsgG3T0rQE3YsZPDgGQhcJP+bO1e/XFGNct059+cEHI2RPNPLQQwCAgjQW/VvfLOmRkBwH0RKcNrLqM9O7N5z33cWev8suM94ug0lJAdCzJ1v4njljtjmExTioV79QFIFXXjHcFqPxm7clJFC2HxEyogicPSu9dkUR9wzfHhPfHB9OJ5CYiH3lHVseS4QNcroS1uZPf8LFV5aieG+F0ieKcAiiOioJsK3zRJbarKrwBh9IEBpEEVi/Xt1XUCA9KjESedOzp9L203VNTpbyjwjbovd3PmRIi7d5vWzDgic5WX+sLenQAXjoIXRIYRIDpRclTbTXXzfRKMISSFFpGzcCzzzD9eflwdUplwlT+omK24/MjNzGAAAgAElEQVTMTAAXL6KwLIdVEyOIEKmoAD7/XN33xBMACgtNscd0EhMp248IGS+/XJYkCdG9u2n2mEJmJlYc7G22FTEFOV0Jy/PqzqFo2rwDOH+edXi9+Pn49SyyNQZWwRPGsa9HeYU9ncpE5NBqqM+bB9x5p3SyY4dyIT/fKJMMp2tXpV2qqb2HkydZlTFey5OwF366EghJiuboUf8+PuUxJmjXDr2z2He3upHkOIjQEDt3wcqV/k6j7t1ja48rLg5Afj6OV2TgbM5As80hLITeZ8vpBFBba7gtUQFFuhKtQLXXLoos0MSmEoR6XH012H+vl4K1jCR2/sII23LuouRY3b0bqKyEUFGORFcze6EMGqQM9AtjswdZOewxrqhoYSBBaHjvPfX5kCFcgNGqVcqF6dMNs8lM/vEPjcZgcTE7/t//mWIPYQCtXahJGxBvvKHu/tnPbJtMERi3G6mzxgEA3t07wGRjCFMRRWDhQhb+Lb839UhJwVNPAd99p+4eOxa4/fYYfIakhf5FnZp0BKHHmTPA3u2NbNdc0uf40Y+kizGkqd23r9L2OONpEUSERFMT8OyzYAEVHg/+684L7EIMfXwGDwb77/d6yfFqIOR0JaxLSQne3qOJDti+HUNEKUIvLg6YMUO5ptHjswvpmUyrtrjEnpq1RGSorGzFYJvvAI8erbT/9385ncFp05QLNDGJLQYP1u+/+26U3f8rVVfPnkBqqgE2RSFJMyfop4I3N9t2o5PQQc4GWLcOePnlgJsZpdc9oNvPO1BiCunbWvrpZqa3QBBBEEXgpZfAtLNLS4GzZ/GDH0hSFUBMFQC98UalXbFOKsBXXW2OMYQlWLUK+OgjsLnJhg2Yduo1pO1cyy7afJ3D43YD/b170D75IunwG0js/IURtuPiXxdjf1m2X/81fQ6wRlycuniWTScjcfFswXt0T4ymFRFt4sMPpcauXcCWLXj0UVPNMZV+/ZR2UxOwZo10MnmyciFGCovFNFyBH8yZoz8mLg7rN7tVXfziL9YQBABjxgAZGdhRIhWv9HqB3/6WlQcmYoNDh9TnNTW6w976IMmv7/HH1TIvscS0KWwz77M9nfz1FghCg55PsUsX7oRf82T7r4/sBO8jW32qD2vEqrwCERIbNrCkWFlDu9nrAE6dYhdjyOkKAK5RQ9HoiYuZ+h3RgP2V6gnb8vXxbn59T0xew4poAWzyEQvpAlKU0fmjlTh+PHYXL0ToiCJw9LuzwOnTQGUlHIKIrKKdwM7zwLFj6jDYAfZPG9bW3FuzRipkyr8/zp1TqtYR9oH/Hd9zD9DQwNpBxCW3b1fa/fuzqIFYpmc/Fw67huKDbyowNLeElQUGgLIycw0jjKNDB/U5/1zJEc8TJqBuq39GTpK/HzZmGDUK+NpsIwjLsEcK6GRl1wEcOgSXi9Pc552ujzximF1mkZzMpDkK240HsCM21nzEpSPVgJnY+aTSF2NO1+YO+aioL4a3qoYiMA2Cfs6EZdlyOk91flWvg3A6uBRgm0a2+uFwoG92GdCuHY4dA9NTW7iQpflReiehQ1kZWJVbybn6w1GbgPffZ97GU6fUhaN627+6ZUIC8KtftTDolVcMsYUwGFkDz+FglbCyspRr48cDkyYBDygp0fv3q28PFBAbS/ABwh6vIOW/SpAsR2wgO4Fk5M0LAPjqKwCAeKbEV2C8fXtg5kzg1lsNsi9KScpWPM6bi/OCjCQISWr/4kXfd+sXE9ZxaUuIufft/PlSw+VCfbMT+M9/TLWHsA5jC4oQ7+TWyDGWzbb3SAIA4OD+2HpnmAk5XQlLUlmufkmMLSjCqPzT6kH8rlVOjgFWmccNs6qQ5G5mGX4vv8w6V68GXnjBVLuI6GTRIvV5VlKQYkIxUphBG62oO//au9cQWwgDkUOH9Bars2axInJcKDRfI8jtBhITI2yfBZgwQWoMHMgWvjyksWdvGhpYZPOnn6r7+ShnKaqooVxJ/b37bvZ306uXEUZGNzO6HwUAlNYmm2wJEc0UFUmNnTt9fYmuZnXqRYw5XdPTpYbTiVOVaUqWBRHbeL0tViccmlui7og1YX4pKrx23TaTDYkdyOlKWJK3nyxUnU/vdjTw4EceYWmjNsaZ5EZeShVOnwYWfjMVC7+ZiuoGN1XzJPzQSu8Nyz2jP1AmBiJdZX79a6Xtc66NHat0LlvGZAYI+9DKTQU+e/Ouu8Jsi0Xx1ajMyMDm0/nqi0uXGm4PYSDvvKOv3ZuSwuYfpaW+8PCmRuVZS0gwysDoZ0gHtvhPcTcyrcEARciIGITLVvPtYzQ26o+tqQG++461YySE3Jdl4XTiTE2MOc2IwHz2GfDHP/qelbo64MQJ6Zo050uLb1DfE2M6N7ffQVIcRkNOV8KSnNmvaE5e3uMwXHFBdnezs+0/w4+Ph6dRmpzlsRS1QxeygtxAxCpvvqk+v7LXIf2BMjE0EXG5lMiJf/9b6tS+O2IsBYlQwztdc3PNsyPamDoVQFwcvjneVX2hpERnNGFZRBE+jQCAW8lq8HiA555TpVXU1tOSQ4/4RPZz+epYN+Ddd4Hf/95ki4io4MAB4Omn2Tu0shKOpW/6JKGu7n0Q/2/Kt8rY3btZar28W2zz7D6e/HwALhcu1FHaCSEhZzA1N6O+nr1S//1vAKKIlPoy/HLiWiS5YruAlOQqwK6zHYIPJMIGzYAIyyGKUKXQjOtUFHhwrOB2w+GRPiDSzt5HB/qYaBARjUhZnqrovqAbFjHI8OGajsmT1ee7dzPNZEmnkLAJP/lJSMO+/JIdHQ6q2cEzeDAC/0COBslEIazF+vXAs88qshGBfuc6evJvHWVZA1dcESnjrInLozixT1amBxlJxBQHD7Ljyy+j7JmXsPz7fJ+UQOf0SqVoMMAcrnw6dZx/wTq7cu+9ABwOxekaI5JYRAgUFankxVFUhHl1b6m1XGMUuVbs8YqM4AOJsEFOV8Jy1NfD91HNTalhnQ8/bJ5B0UB8vOJ0pYrRRAB27ZIa37IIibEFLWxYzJ0bWYOikP792bFLF6nD4QBuu00ZIKfvrVljqF1EhGnlIvXBByNkh0XJzJQa48ahoVnzs3ztNcPtISLEvn3sWFXF5mGBIv81enprT3RGZcEAADGVPBESQmoKBrZnsjXv7mU/o1jT5iR0kL9JHg9WHu6hutQ+WUevkv+GaUXqbYwgsP/j27DgNG+JGOSbbxSJlrfeQhMf0Fpdje7tys2wKuqIoX2ZqIGcroSlqKuTMq+kCWnHlGqmHda+PTvK/Oxn5hhoFvHxmN21UFUxuGsG6bkSar79Vn0+tevx4DcMGxYxW6KVnBy2XunAZ9y0IMhPWJQLF5S2vO0fgL171UWiYyh7M2RSUwHEx6P6x08wLXUeX5g9YQteftmX6qzLihW+pigCXx7r7itu2hTbWZ3+zJ+Pmd2PAABqGiVnGf2QYhNRZHqU58/7vklNHgeqG+NbvtfJFTGMIacrAHXEfW1t4HGE/fnmG9VpERdbMsyxkzKUdKDgcGMgpythKWqkwFb5DXFlr0PKx9Z3EbFXUvrkSWQm1mHhncdx7/BtEFKScbwiAxX1CfQ2JQBwBbSkCUl6fD0SnEH0SWM4lK+xEdi0iXt0uOr1hI144w2lHUT3e/duVkONLxJNE3d/rr2WHffsFZiWOg8VoLMfBw6ENOzgeUlfXnpoYqg2Y2h06YL0FCXd1eMVaN4Wq5w/D3z/PfDCC0B9PWoa3Xh151CU1ChBJTO6c3ItN92ktE+dYsf09Jj9QDV7HfTsxDLbtvl1ffCB0s5Pq9a/L8Y1b95+m5IrjICcroSl0MqEueK8/g6RggL1jm8s0LMnO1ZUoCCtCmJnlhu95XQeC9EiYh5tlOujYzYFHjx5MlUJAlcvhsIa7YkcTTZmTNBh//mPAbbYADnZxBdocs89ysWaGua15jdHCWujlRbo21cKd1azdM8gX3vECN0hxBNPYNwvmH54fbMTWLzYZIMIU+DXLvHxeHnrcBRVpamGjO8kOVfHjGHP3KBBQHKyMiCGnY5rTnRhjmsdTWkiBvjoI9XpzpIQi0SNHh0BY6Kfnpks2+vAAdoXNwJyuhKWorkZvgIOvqrrN9zAjnJ66C23GG+Y2XTuzI6SE8ERx3a581OrFG0bIqZxcG97d5wHTkeQbc20tMDXYgiVAP/06abZQUQIObp1xIiAQ44f9++7//7ImGN1srI0HZ06Ke1165g+w9KlhtpEhBneoaMNjSkuBu6+O+CtXbsCc+ZExiw7kJvHPtINHidQWmqyNYQpcM7CcmcOKhvUGRgPjtyiFNCaPZsd4+PVEkgx6HSVl0B1TU4W7fjZZ+YaRJhOQ3Mc3t/fz/dMdesGjOh4Wn+wIzbdYb4NHAD/+Adw5oyJxsQAsflXRliW+noAW7cCAIblngH69VO0ix55hBW8icUqDbLDefVqAMDdc5l+XpxDjMkJGOEPP6d4eNTm4IOHD4+sMVHOjTeyo8rpqueYo2gKayNXEgiSismnpgHMaZSXF0GbLIzTqQRqHTkidU6YwI5VVexI+sjWhl+VVWh046urgYwAlZC7d8f8+ZEzyw7IU9lGD1U4iVm4OcWarcl+l33Fg3m0mx9TpoTbqqhn7lwAgoDNp/NZh95uKRFT/G7dJNY4zRytd9zm1Z/q8ZvDMYa2qNhLL6lLHRDhhZyuhKWQJfiyk2qZtMCCBcrF9HSgRw/9G+2ORjTfJbC0v2avAygpMcMiIkoQRZbuW81JGWUk1OsPfuAB4OabY3bXV0Z2HKkmH/xsTfa6UcEGa7NgAXMKavVHObR+pSBBsQSUZ+edd6SOySxlmjb/bIi0Ae6jZ0/2nhw/3n9sc3PMSe23lnipVtKJinRzDSHMQ0qPFkVg+7dVqkuPjv5eOeHlBLR5wSNHRsq6qCUtDepy7DGqaUswTlVy2XryDnCg4oQTJ0beoGhlwgTcO3yban7G1y4gwktsr6wJy3JD/31mmxBdaJyuziEDAEhOV0oVj2lKSpjTVS4ePqj92cCDO3YE+vQxxK5oRl7P+BxHACvON3Mm8OijilOhPoDzmrAG7dqx32mIC7Sbb46wPTZAlnFtbJQ6tPrqFRVAuTq6grAILTnOr76aHblNO98tqamxvpfXIrm5AAYPRnk9eadjFqnU+vaSjn7611n3X89kjqZNAx5+WP/+oUMjbWFU4nLBtw76viifnK6xgtcLLFrEREm579Nbuwephv3gB/DPspk9G1i4MLbXPCkpKEirwrWzlbS+tWtNtMfm0BSIsAR/+Qvw1VdmWxHFaCNd3QKQkICaRjelQMc4qoVuXR3m9uUqTt9xhzQbIXgCpo9PmMCEK2WP0smThtlEmA9VXW8Zv5pzcTqp0s8/b4gtRJhpqbyxrJEs/c4LS7PxasaPgTFjMPxyKkbYEklJQFZBIjYWFagjtYiYY9URnay9nj2BSZOYfAAf6coXgoxRpysAdJjSFwDw1bFu5HSNFWprmf710qW+eblXFFDX7FIN6+o+Dfz1r+p7Y/hZ8SH5Dob2b4xFVRLDIacrYQkqK4E1a5TzBGdz4MGxCO90TUlhu76DBrGJm1xSmohJtm3jTurqlAJaublMWb5nT1PsimYEgQVBdu8eYECXLuxIoVu2hs/a/OlPaR0XKrm57FhVFXwcYTGCOV1dLpXTtfRiEt7ZOxDHT7uBxMRgCh4ER00t+6Ys3h7buuqxTn2zkiHQM/MCfj5+feDB/G5g166RMyrKycxj758Gj9NfF4iwJ3z2hRSZ9cnBXsDYsWwSD6B98kU4//VPZdzw4cDUqX7BSjGJvIbxejFtmtJdWWmOOXaHVoxEVOPxAH//u7qvV+Z5pkkpp7IRaiZPZk5XSUBNbGgMPp6wNd9zMmCqdHg5D5jQJSMDKCsLcDE1lR2pKJCt4b89pNISOrKD7e23zbWDCDNLl+r3z5wJ/PrXynlzMxZtHs3a0qLY5dK5j/CjoYmWZbHOsXJ1MboFV1QiuUuQXQtyHgEArr1R+Tl46hqBZgrOsT2801Va7GxNmsQ2ALt1AwDcOmiX+p7sbOZ0pV10ldOVh5KRIgN93YmoprraXyN+wcC9rFFQYLxB0cy8eew4eDDL7hMEQBCw+wBNyGIVbZ2nK8VPlBNaBQfl2DEWqadbh87tZv9qdCoJE5anqkrtMGzfnubnrUEumOT7dlPemvWpqACOHtW/lpWlPtfRuqbnJ0S4H5RUdJuIIeqanHh1p5L2fHmPw3DdfxcrchoIergAsEJ0I7qz6qefHe4F/PvfJltERByNs/BAWZbKkTgs9wzSExrU95DvQEEOaf32WwDAuHHstEMH6Vqg4mNEmyCnKxHVLFmiPp81uoKlR8fHKzmMBGPIECYKnpAAQQByOwqAKKJkzUGzLSOMYNcudWjmxo34w9PqycbomVJV5KuuUt87ezZw770RNtCanA1UdywlhZyuNmXxYmD/fuVcrxg7ERhZKk3K7gN27vQfJBWMISxCMG14jW6vqt5WUhIAkLxAiNzzgJJWfm4bPSMxhSjilW1qWYlxnehvoDWkudmcd8vpPKC42GRriIijcawv3TNIkbnxeDCrxxH/ezp3NsAwi1BdzY6HDgEAZswAcO4c+h34gBXTef1182yzIeR0JaIarSzP+LQ9rNHQ4D+YULFgATumuhtarjpMWJuzZ4Hly4G//Y2dV1Wh9uMvgT17fEPmzoVSIUorID9mDO3+anjwQXbUFl/3QU5XW+L1+utZUb2F1pGfzwpq+SLtp071H0TSHNbixInA1zQvyWf/3V45cThw660xLTXZKjIzuRN+54ewP/v343xdku+0W0Z56Pf+9KfAj38cAaOsRU5nlmbhq11A2Btusrb3nFSsUc68SEtDooskJoIiR8lLPgKHA8C+fbh4VlrbULHgsEJOV8Jcli1j0ZkhOAWHDUOQsuKElowMQIDIBPkpRcDevPii+tzjwWeHeiq7mAD69gWr8gnoVxQnVMiyrXpBegDYz/D4caPMIQxivaZeCT0qbaO0lPlVjx6Fvtea9PasxUcfKe1Ro9TXOKdreTnQIBcBatcOjz4K9OplgH02IUnxueHEllLzDCEM5/ABdTR5x9RWbOqmp3OpBbFLv59eAQBo9jpQXpdgsjWEkXx0oA97DiSmX6EjoUaFg9VonK7y6ffFFIQTCcjpSpjLXkmfNVjqmsTIkQA2bIisPTZCEACxV298e6Iryg61YsecsDZbtuCLLx3Yfa4DO29uxpgxks6i7EF00Ku/JeTFL+e3VnPsGDtS1L1taGoCvvxS3cfXByJCZ9AgdnzttQADyOlqbTp0UNrczsTzzwMYPBjo1AkYMMBP7pUIDi/Pub2ko3mGEIbzxudqDY7p3Y6S9n4rERITWOYWgOe/H+tfFISwLQ0ep2ptM348/LNscnIMtSnqkQOyZB32EHwxRNuhlTdhHrwAtjd4KkhODktZxOHDrOPGGyNnl52oqwMALPkV6brGCjXLV2H9Ri48TxQxbZp59lgVQQAGDgTOnAkwQN4x12qgEJZl2TL1+bhxtD/RVrp3V9q6/lUq/mJtxo5V2tL8zTeNcziAHj3Qb1AgbRYiKFzk8KlTJtpBGAv3TsxIqEecQ6T3ZFvg5U7+/nfz7CCMp5wFGN16q7QXOHmy+rpKv4VAnz5K2+NRpXp5vOooWOLSoeUEYR7lXPQlpz0JMHlKPq13zhyoH3w+yoIIiLxJXlPpacmvTVgVja5ooydOtYkxdGCzT1eeaB1VVey4e7fOxZEj2ZEeLNtwkNub+s1vgMsvN88Wq+N2K+3SUgDz5rFV0D33sE7Sq7QO2nD/vn3ZjpSM9A7UOtfnzYuwXTblnucH+9qLF5toCGEYogifg3V+/7348ZiN5hpkYWZdRdHBscbxigzVuU9FgN+0GDNGmbcTDN7punEj8NVXuKInC24rqUlh/VLwFnHpkNOVMA++kMbq1apLu3YB77+vnHfuDOCpp5QOCj8KieunKNXs6b1pU8rV0hFap+uc/jrVO4mQmD6dHf/zH52L8o7GSy/RTrAN4OV5U1NJy/VS4XU8BQHAkCHMky1vmO7bZ4pdRBDWrGEa+1o2b1af9+ihjibr1AmA2umalaV2vBOhk9cn1WwTCIM5cAC+dc2A9qWKr4giXVtNz56Q9LSIWKCiPgFLdki68W43pk6F/vMzYAA9T8H44gsAQG0TW9u8vG0E65ejT4hLhjxXhHnwkS61tT7HhdZ/4W6sVocg6Q0idOl7tSIa/tVXJhpCRA5uEnG2Jhn/2DISOH8eADCt6zHEvf8e8LvfkZOjDUi+BH1SuYVxYWHEbSEiy5IlSvumm0wzwzbwDjdV4XvyxEUv8iRBG73Pb3LPns2O/OJVELB2LfD660rXlCmRMTEWiHOqHQNUB9X+nD0b4MJllxlqhx1wu0FRJjHEok1KYcce+XV+Mq4sagukjxwiXlH5/jR7HeR0DSPkdCXMQ1vStrISgP98/yHPIuCtt9SdfIlXIjDZ2ejY3gO0b4+tW6l2iS2RHpg959rjxS3S5EMSgpvcRfJ2NDT4djGJ0OF9DSrHEaDWhqJiWrYiP99sC+yBvPj57DPNhSFDQJonUUxxsfqcd7C2b6+0588HfvQjAKwAnax/PWGCUkiNaBtyiifgmxoTNubrr9lxbEERa0ycyMLFpaJQROhwBexR3UCbfHanyaukJSXpBThfdx17nnJzjTPKSmi81GPyi3ztpbsHAps2UaBbmCCnKxE9nD4NUfTfVEl2c9v8N9wAPPkkLdhawZVDin2OuaVLTTaGCD9StclD59UC8df326fOpNHIEBChIWdDr1mjueB0sskcQBU/LQ7vM1+wwDw77MaoUQEuNDWxarm8pgMRPWgnYUXKIgzx8Up7wADdwiTp6ZTFeamMHdmMUXnFQHU1Sz0nbMuFC1JDFDGj+1GgoACYMQN49FFT7bIqggDmsAZwujqV+wETtqKxEcVVaimWjAydcRkZ7Hmij5I+kyapTlPjG33tI+WZWPhKASrX7jLaKltCTlfCPI4eVZ+fOYO3fvI9np/3jc+J0buHBy4H59BISKAXZyvJazgGlJUBFRU4QvKe9iM+HsfKM7DzrHoXl/9wEm3nyivZUffZ6duXHVesMMweIryIIlPfkOnXzzxb7EZyMpCWxtqqFGlJ/gQbNhhuExEA+XcC+M+xDh1S2nl5frdq95yoQHQYKClhmSpbt2LrVrONISLJp59KDVGE0+EFrr3WVHtsgTQ3W7pnEA4++abJxhCRoOzERUV3VGLqDwpMssbChFDAYMtW8ruEA3K6Euaxdq36/PRpHNop6fCcP4+kwi245cjT6vk/RZS1mjiHiPzUKmDHDuDsWSVVraGB/TwPHwbWrTPVRuIS+OADvLpzqF93QVoAHZ7s7AgbZC9kOShAJ8OG14jS6qIQlkArF06EFzkw8ssvuc4CaWFEP/zogdce4qNZQ2DRIqU9axZXOZpoO126+DZOu3aoNdkYIpL45hXyM0iBJZfMwCGKI+mtw6NpemZDfKqDUnjr9G5HEderu3kGWRk52rVTJ2DWLKS41UE7pC4QHsjpSkQPfKphUxPGJ+uEs9Nsvk3cOXQHaxQW+rSj8LvfAU8/DbzxBrB6tWm2EZdGXbF/6tT8/ntZxIQeVMimVfDrn9LSIBepUp3lOHSIJFcijSzXsHEjN3GfOdM0e4gA8ALWfEWsFli4UJ29O358+EyKaa65xtfc9joVwbQz8t5tvwvrWcNBS/NLZfZVDqWaX11d4EJlhGW5UCoFYXXsCAAYOyOFimW1lalTgaFDmWTa+PGY33+v6rJn2051xgvRJujNTkQPfBRreTnGdzrlPyaEMHjCH1ec4oDbscNEQ4iww4vIIz0do/KK0T9H6x3kcDojb5RN+fvfgfff13RKEz4UFhpuD3FpaP3k991njh12hg+s371bavCa7E8/DezcaahNhA5tcPTUUgBm5JA0KQEANTVo2LIb+OQT8+whIoZcF/iaPpJ4LzldL5mkJKg2xevrzbOFCDNVVTj12PNARQU7T03FhIcGw3XzDebaZWXi4pisSbt2AID8ARkYkHPOd/m7ok7AqlVmWWcb6M1ORCUTk7bBIWji2Xv3NscYq9OjBwBgdL5Ukbi6mmYgNqLJo7zGFzzVH1f1PhQ8O42crq3mzjuVtp9/SBYB5TURCUvAZ1HfdBOQn2+eLXZG/nSfOKFz0eMBVq401B5CB62jRxSB9euBurqAt3zwgfr83nsjYFcsk5KCVDer8nfk32uAzZuBjz822SgiXBQVsUjxbdsAiCISXZK8ADldLxntHLhow0lzDCHCjvjn/8PiLUOUAo8OB4ZelknPTRhxXjED8wdoMizo53vJ0E+QMJ8bbgDuv19VhXBMfpH/uFtuMdAoGzF3LgBgZnepEtDWrfD87+9NNIgIF01NwLt7BwAAOg/LQr+h8UrlmkDQh7PVdO0a5OLEiUqbhI8sgyiqFW147V4ivFx3HTsmJnKdchE6gEImowGtl+Kpp4AvvuCq/PgjS/J27sycRwVUwyS8DB2Ka/vuBwDsOtuB9W3fbqJBRDh55RWlnXTuuHJCc7Sw8MADwI33svnwly8fbWE0YRUuNqkl0u6924ucHJOMsSv5+cCIESqZuvLjlUFuIEKB3uyE6ey40BlVKXmoaWQv0qzEWqq8Hk5SmTOblxg4U5PqP86X+0lYhWPHgLMXUwAAk6+QctQGDw5+kyyYTrSZIn5PiF8g8cVoiKjF62U+JR6SOo4cspqAql7j6dPqQZR9YS6BNowaGnS7+V8XSe1HCKcTPTLLAQAuhyS/RZ5tW1Berj6f3p6bf5PTNSx07AhkuwMUlCUsy5Id6sLBBV1IdjDsOBzAnDlIi1e+/2/tHmSiQfaA3uyEqZTUpOCDT1xYskRxBN4xVEffLTfXWMPshCAAT0I42c4AACAASURBVDwBAJja9TgA4M1dOi/PL74w0CgiHPDp0U5IDj+5eEAg2rePnEExQsCiDOQ4sgR68rskF24MvirSjz6qvtDUZLgtBAevqR8CvsrRAMaNC7MtBKOYSUJ1Sa/A7nNSpOvJk63+XRHRhzbGITGeK3xKTtew0b5fVsuDCMsgikBZbZLvPD+1iiTTIkiH5Bpfu7Q2WZEb2ryZpbdQllKroDc7YSr/2DISSEjAhQvA99lXoXenOtXOio9Zs4w3zk44ncDChcj5+Z1ATg7qmnUqPFKUnuXgf2UuQTpxuZijfdo0/Zuoumeb4J1yfsFf8sU//9kwe4i2s2yZ+vzJJ/2zq4nwIjvmPvxQ6nC5gHnzTLOH0BDK9/+hh3xDT3ISifRJiRCjRgEATlRmAAB2lkiO14sXzbKIuFSWLUPpz/+AAwfAPEinT6Nvz2Z0y+W0k8npGj64WiDiRXIQWZ0ijfLg3cO20/MSQa4Zqc5I8lRKTli5qCO/+0q0CP2lEqYgekXsKMllUXfSarcuJQdTfz1B/wZ6qYaF/v0B9OoFAPB4NV6G2lrSpLQYcnBYfFwzOnTmwl6ffJJFvI4f738ThfS1icceU9p+j8mcOUqbCmpZir59yeFqBLLUtKoQXSonc+P1gjCRQNGTfL+UJXHokAH2EMxh1Lkz5vffCwAQIb2o6FmxLOc3H8WizaNZEPP588DBg7jp8G+RmMBNKihyL3xw6WAV5ylC3Op4mtTvvjiHSBO4CKLS4QfgjXMBjZz8Y2kpsHcvUFMDomXIk0WYwjd/3IwP9vcFzp3z9fXuDeTlB3h5kqMoLAgCmHhh376ob9aZ2FHamiXwetk37vPPAaSk4L6xu+HsqyOsN2aMfx9NUNpEYiLw05+y9o4dmotlZUpbK9ZGRBW8w6hbN2D+fPNsiSV06/t17660SV7AXPbu1e8/ckRpCwJOnQLeeUfpImmByNOtXQWQnIzvki5jHfSsWJZ/bh3BGqIIeDy4rNsxdi6vcVJSaI4WZmb1YO+wpnpa31iZ8+eBJf+jpFhc3fugidbECAMHIsGpZMF4z5cD//qXcr2hgaWO/elP5D8IAXK6Eqbw7a52fn1Tp8I/ojUvjx3J6RpecnNxaMZD/ismemlagk2b2DeuooKdu7p30h+Yns5KuN5/v3HG2ZjkZHYsLdVcmDrVaFOINsJvyE+bRp8Wo+jXT2nrBup9+CFQRUVPTGPDBna8446gw957T2k7ncDll0fQJgI4eRKJzibA5cLZxkxWcHbRIuDwYbMtI1qJxwM0eKRgh/p6QBAwqfMJdk7ZfBEjN4V99OuqSULNqtTWAi+8AOD4cV/f8I5nTLMnZpg6FRM7K45uz9vLgAsX9MeSRGGL0FueMJw1a6B4LyQmTVL8qypkJyCtjMPG3Lns+MGaTLZiGj1auUhpa5bg88+5E1EMno3WsSNN6MNEwJ+z06k4tt94A9iyxTCbiNbh0xQF0CnAXgURfvhXkLxZpOLUKWDJEqPMIQIhikBGRsDLlZVK+4EHDLAn1pk2DYIADE8sBLxeHDwvFQZ64w1z7SJaDa9HOfTcKsyfXaMEtcovSErTDTtJLhYZfrGKgkqsyqef+vc5BJLDizgOh2/TAgCaXEnA3XfrS9eR/6BFWlyJC4LwL0EQzgmCsIfryxQE4QtBEA5JR/+wRYIIwNq1UKXP/PjHwPTp0onGGYtZs1i0XmamYfbZHb7AuigCuPJKpYNemlGP32aiKCIhniYfRpGezo5+tUzcbqW9YoVh9hBth7I4jWXwYHb8618DDKBIV3PgooeQna2v7T5smJ8/KIhvlggXnTsDAKZ3Owp4PGjycMs2mq9ZhtJS4JtlSorMNZ13YEAfbjLH6yQSYSX9dhZp8u7fzrUwkohW9uyB6hkZW1AUeDARPgQBPTOVyNamW+4AcnPV0lAylCnbIqGEPy0BcIWm778BfCmKYi8AX0rnBBESDgd8k/qH/zsN7bQu+9xcdrzvPqBHDyakSOVxw4ZUEBcAcOyY5iIfxkJEFZ9/Duza5S/ndtfYwpYDwaUCKMSlIz8iixZpLpAHwlI8+KDZFsQeQ4a0MKC5mYo5mgEfgpeSoi+X0rEjXntNOX3sMZqWGUK3bsCYMUh67GEI2VmobEhQrv3978DLL+vfV17Ofq/0PEUFixYBx1Yw3eQ+WWUsSq+2Vhlw4AA73nCDCdbZm8RMqRoQFTm1JL5XmCyBAyhayIShNCVIxU979PC/+J//GGuMBWnR6SqK4hoAWgGHuQBeldqvArg2zHYRNkUUme6yvEPffko//0G33gpcfz2Qn2+scTECnyLt52OlCXrUsnEjsHy52ula0NGDLt5jwMmTgW8ESF4gjMiSh716aS44nWpnxcKFTHyXiAr27GG/EpmsLNNMiVm0lXABAD/5ifp85UpDbCE4+JBvhwMYNkz9sACo6D3aV/d0yBDmmyUMYvZsCJntILrc2JB9jdJfVgYUF+vf8/zzwCuvAB9/3PL8gIg8XIrSlK6SjusHH/iPGzjQIINiiIoKdEiuQftkbXoSYQW0gSZPTvkG7v49g+h9EeHm2r77AXDSUHppYseOkQ+hBdq6Eu8giuIZAJCOAcOoBEG4XxCELYIgbCn1qz5CxBrV1VLD62XpAXoheqmpwKBBhtoVa3Ttyo68viEA4MQJo00hQoDPPOM1zO+6TvKa+x6sIIwcCYwZE17DYhAp21Nf8UQbIbZ5c6TNIUKELwAEUJSeGWRn63RqJYX27jXEFiJ0RBF47jnlvGdP82yJedLTmaaeHhUV/ovebdvU1aYJc+CkU7wi6doYSlYWclNq0Ojh1ptNTbQZYRHKy+FLXZ/c5QTz911/PfD448Avf2mqbTHBmDEY2P4cXA6PSolIF13BfkIm4uFPoij+UxTFkaIojszJyYn0/zsiyvFJUHk8TKOKCmSZwjXXaDruvJMdV60y2hQiBJYvV9rr17PjggVAnLMVk/errwZmzw6vYTGI/Mr6+usQBvMCyoRpaPckSAnCHNxu5fk5dEjq1EarUFR+9CBpPx1qN1rVTXvi5jBzJjuWp2gqAF64AJw9yzzj338PHD7sfzPpv5pGWRlUznC+MA1hAKmpSHE3orrBrTwGzzzDNiNIciCquXABePFFALt3Y0b3o4qsgNvN/sXHm2pfTDB7NpwOLzqlV6mdrnq76BR9HJS2zm7PCoLQEQCkI6lTEyHx/vtS48QJuOK8tMAyCT7Ns7wc9HuIck6fVtqysyIuDopweYcOhttEhEAoEchExNHq+5P/wTzk34Wcqu6XpkbpadFDVhZQUIDj/a9seSwRceT31vN/1Twzf/0rsGULa3/+OfDGG/43f/xxZI0jAvK3v0EVAeZ0BPgAUWBSZBBFtE++CI/owLffaq7RxnhU4yu6WVGBtPgG1iZHq/Hk5KBbFy/OnuWKCN9/P/DAA8Cvf62Mo8CtoLTV0/IRAEnZDncA0CYpE4Qucvb63D5MH4TKR5sD73RdtQr+ojlEVKH3mDQ0QPFg6BU+ISKOrvOOCmFEHVqnK9WVM4+CAnZUJbn8v/+ntLk0XMIgAs3DrrgCmDuXr19CmAivQ10350b1RT0pG34zffv2yBhFhAa/cx4ICiGPDAkJ6JDCPEXfflar3tijTb6oo76eBe5rfzV1TVIUpV9BBSLi/PCH6PbY9QCgRLu63UDHjmqtrt27DTfNSrTodBUEYSmA7wD0EQShSBCEewA8C2CmIAiHAMyUzgkiKHV1SjvR1Rx4IGEIspReYSH8vRJEVOFX8AxAXh6U4gwk02EosjxHebnOxT59DLWFaBmuhgnuvJP84mZyyy3suGYN1+lwALm5pthDAAhUbyE7GxeTKPouWujH1Z0t9IbwnfnpT4EZMyJnENEivqm11Jja9XjgwTSPiwwuF7KTalm7shL1deRojWbefJNJChw5ou6XHecYOtR4owh07Mj8rLq6rnIkF0UhB6VFp6soijeLothRFEWXKIoFoiguFkXxvCiK00VR7CUdL7T0v0MQZ88q7YaENFYhlzCNe+5R2kXNtOCNVvgiWvJ3LTtbinqRZ/Q0WTcUWRP0tdd0Lmo1jSiSwnRk/d0+fVgRwYQEU82JaZKS2LG2Vj0noI2/CNLUxKrZHz0K7NoFvPSS+noQeSFZQxwA7rsPePjhCNlItIggAI8+ytoffRKnTlnSIzUV6NJFOecnE0REaW4GVq/m0qPBtFyDOl2JiOF0eDGkQwkAYNtWinSNVrxe4NQp1uaDGn4xYR26ZkgSHVTJ0RTi4tjn5NgxnYuPP87SmPLzDbfLSpCQI2EYS5Yo7eS4BtIRNRm++vor76YpKRs0CYkq+Ci9++5jx1mzpA5yupqC/OzoRSD7peqSgKipXLwI7JfUbEaPDj6WMJYXX+ROSCIlcpw7x1awq1axqoxnzgCffKJcl5133br53cp/WvLzSZrDbKTaZmzj7xe/UIqgahk7lh07cUW3qGiQYezYAaxbx80RkpMxOr/Yf6DbrbRDqs5JtJWZPY4CAOrrRGWZs3KleQYRfnDSxz7t0KlTgcR4aR49b57hNhEKXbuywoB+5SoEASgqYhu75EMICHm9iIhy+jQLrOD9DjNnAj0zL5CjKApISeFO5ApN775rii2EPvKuL8CcfQsXAr17Sx3yjJ6eJUORI10BSVtXy/33K23+F0gYzp/+pLSbSdUmKtD1Aw0YwLx6FCkRfl5+mR1LSpQ+XgNU/oVMn666raICWLuWtW++OYL2ESHjcLA0z4oKaV6dnq4/8PLL/ftoMWwYK1aoz6/K247hMzKB228HfvxjFjJ+443Agw8CAweyQWlpxhsaQyS7WKT3mtWN+PZEV9ZZVGSaPYQ/e/cq7W++YceRI6FICgwebLRJBIe8L6srMSDDa0kSKsjpSkSUf/6TBVZs3Kj09e4NFqFHjiLTmTRJp1PXi0SYxdKlQS5+8AE7alPaiYgzfDg78jvzPvLylKonBw8aZhPhD+9noPoL0cHEiUr7hRe4C8XF7B9FhxuL/PPWfEf4YFjK6Iwezpxhx5ISsNDXK69kcl1y1OusWfrF0ahgqmk0CvHsOevenf3O2rcH+vdnO+nXX8+0d0m7I6IIAjBmUC2waRO+Od7VbHMIHb780r/P7QabyKWlUfFtk8nNZfJcuhIDcpVU8iEEhJyuRMTgF7vFXFZNYiLY5IPkBUxn1Cil7ft9FeukQBHRwalTLBJZ65SgDQzDGTmSHS8EUjS/+mp2pNLfUQN9cqKDPn2A8eODDNi6lRxEkSKHK4x1lKXb+gppcU5Xj0dJfgHoExNNyIUca6XaQBg9Gpg7l+V+Llzo/3Dddhs7njxpkIWEloYmh7IRq0UQ2E4UbZ5HnCsm1/raTR6aEEQTgT75LhfYApUcrqbjcDBdV91I1wkT2JGcrgGhNw4RMfgiGXzKQEoKKNI1SuCdEE03SRNzemFGDfKaGAAmTwaweDGwb5+/Nhs9S4Yjr5/eeSfAAP7horx2U+A1dwcNMs8Owp+gRdU/+QR45hng8GHD7IkZZAcroFQC/OorduT0JWU9PSL6kCP2t28P8QY5bV0vjIwIKx6PTnatKCI5rl7yHhGmcPfdAADBpTi2qxup0no0EUiJSxBAgVpRRLduLNjEr6ZFvPQ8kQ8hIPQXTESM06f9+26/HWzHShTpBRplnE/hqtxWVZlnCOFDXhMDGimIRYvUA8npajjxLc3X+arRuhW3iEjzl78obaq/EF3ofv6lhbGPEycMsYWQ4CLt6uuV7oULjTeFCIysxc8HMxDRwdKlwO9/r+4bO7IZo/JPUySrmcjFAj0ezOl9AADw9p6BJhpEaNGT6rqt42omo3buHGmFRgldu7KjX7SrvCgKmP5HkNeLiBgffeTf160bqOJ6lDFlCju+9Ar3++DDlImoIGiQBD1LptC7NytqEhC5QA3vwSAiytq1wBdfqPuSk2mPL5rxBYJrZVMoMswYpEhIT3wSqqvZnvj775tsExEQQQCys1k7pIhkeTA5/SKOXnB+z67NcAgi/fzNRJ4AvPcespKY8+7cRZoYRBN6PoMeZ9YBO3YwAWuaR0cFHToASUk6uq6yb+fDDw23ySrQ24YwFEEAOV2jDJ/MFK+X8/XXpthCKJSVtTCAd1DQs2QKpaWsqEnAbJpZs9iRdugNYcMGlkG7fj2wbJnSP2KEeTYRgZGLdvsSK7Sah+R0vXRaqlhfWAjU1cHbfyCefhr485+Zw1Uu1qQNPiaiA7mK9B//GMJgQQAGDAAyMiJqEyHR2KiSgHKfkMSRS0pMMojgnasFaUomn+jxtvyOJAxl7lwmcTx0qNmWEHoIAkvk85OD6NDBFHusBDldCcPwVb+V1bJpQRUVqOYb8ktTTxuCMAyPRyezVjsxJEee6ZSXs+PSpQEGJCSwI+3QG8KqVUpbTr2dMQOYNs0ce4jgyE7XFSukjtRUVh5XprbW7x6ilWzeHPz6O+8ATU3Ys9Pj69q1S7ksB+sT0cVllyntkHxG9fVsJ7emJmI2EVLsQmEhsHs3flz3LG7/gRedK3ezi+R0NQ/O6ep0SAEL+fkorU1WAoEI0+CXM0OHsnnbtdeaZw8RnIwMHRVCWV4gOdlwe6wCOV2J1hHijuBTT/n3DR8uNRob2ZGcrlEBHyQpjgtWUpowiqefBj7+WNOpnRjKXiWXS9GrIgzl8cfZUbeSJ0BO1yhg8GAqehutyNOJo0e5wH1+XrB2reE22Q6+cJaMTgjR8vX+USrJyfTsRCv8Jz+k/dcjR9hx27aI2EOwTb+8PPh2Y9sl1qN7xgVFP4XkBcxDIyOQn1oFJCSgptHtL2tDGM7KleyYnR3km0NSEFFDYiKLn+M3aAEwwVdtxhLhg/6CidCpqWHe1BAmbbxv9vbbWSGG/v2ljv372ZF2faOCvn2VdllDqnmGEACUPQmerl2hRIjLyGLld91FK2OTSEpS2rqF1uWVMUUlR5ydO/37unVTCncT0Qdfa85XiZ0cE+FFb3ObD5MMMu7++yNgDxE2rruOHUNKTJJDlinYISKcPcvkbYqLNRe8XqWQ5uWXG24XIaH5rszrtx8QBLy2cwhFukYBhyQFjkGDggwaO9YQW4iWkfcpli/XXIiLo02MIJDTlQgdWeRLT+06COnpYF5YWeNILr3q88ISZsLPRTypnOYXvThNQZtR+/jjwB13wF/kdeNGdnS7DbGL0Ge8FBy+b5/ORaeT/aNI14ijV/iHNMGiG37TorBQasgpakR42LDBv0+zE1FUlcalIimkp0fKKCIcyIkUb7wRwmDZ4SffRIQVra774xPWs8bf/65skLdrZ6xRhILmu5LiblTmZQFF+QkjaG5WCgJOHlbNorTkTD6ec+cMtYsIDP8Z8RVCBZjTlTYxAkJOVyJ0eOeOT4TNn5Mn1edZWQD27AFeeAH405+UC7LzlYgaPOmZygmloZmCz/kgkZgoBbIGKm5GTldTkWtlBXxcmptDqIpGXAqB1kwU1BX93HILO/oixbVO1zVrDLUnZrj6al+zqiHeT6JG1tslopdevdhx2LAQBssOP23GDBEWfBlKUppfkkvn50wOb/PQpKbHT5+oBJb4iVMSRvLMM0pbOCJNBJYto3dVFMPPrf2crhSwFRByuhKh8/nnSnvLFqC6WneYnCYAAPn5UuPsWXasqaFCWlGMyjcUxLFORI6vvlLagwZxygEDBrBjXp76BnK6Rj8HDphtga1Ztky/nz4x0Y+vwKaMttAP/0IkwsfIkSyi6MknceKqh/0uX3ON8SYRrUOeG2zfHkK5BTmlSbVCJsKFb9MoWJQXX0CBMBVh0kT0G5WCRGcTsGmT2ebELKKovLsGD4a6QIJ2Nz0zE0R0wMtA7NnDXXA4KNI1COR0JUKjrk6RF2gBXl7yppukBr/6Jadr1CFHSrz/PoARI0y1JdaorWzCkcPKiqlPH3a8807NwleesGtFyuk5Mp0pU9h7j+Ya5sDr6Y7nagGSPGj043BIiy1Iz49c8IenosJQm2zLr3/N/vEIAr7fpEzaOkj1tGgvz1q0GBQmzxMoeiwiyGpPmWnNuGXQbmD2bHMNIoLjdKKuVkRdswvFG06YbU3Mwpc78Ku/pN0gysgAER0ETHwmeYGgkNOVCI033/TvC1BJkHe6+jIF+bEnpA8cOYuihokTlfb28q6m2RFr1JVUYvFNX+D135/2VYFsaAA6dmTFs1SPiDw70XqSKHrCdFJT2W69VloFAPOi5+YablOsMmOG0qZHwxrI775Dh6DodfAEklYhQqdDB/ZBaWHe9eCDwG9+Y5BNRNjwqyKtRZ6D85FkRHgRRTzUYTl6Z50nKYFoRLOTdLyciVa/vG2EortLGApf7mDkSChF5wB/za5x4wyxibgEyOkaFHK6EqGh5zTQ0e3YvVsdlOJygXkjvvxS6SwsZBPAAE5bwnj4uciH+/soJ4sXA6WlxhsUC9TU4Pc/2I3zdUlAaSmWLweee445HviNCx8rV7Ij7yEnogLZj/HJJzoXnU5K6TQQh4MF6+fmKgW7iejmqqvY0eEAMGaM/4CdO2lR3BZ4B9tDD7U4/MEH2beHNiusw49+xI5Hj4Z4w7FjEbMlFhFFlmnhdgO900rgOnaQXdDKpIQkvEtEFFl4t0cPAEDn/qyuyNDcEp0y7IQRyAoCeXlAcly9+pvF67nPnx9gYUSYBT+l8CVQ7NzJNJIpo0IX8noRoSFrqfCzcY0jobIS+M9/2DOXlMTkwgQB/uXYAealoBdo1KDaAHa7UV4n7dKfOgUsWmSKTbZn8WK/Z0jesPAVZdAjOTlyNhFtQtY30nXyuVw0AYkglbtO+KIj5DT1OXMUBxIR/XTvzo51dQjs8fvrXw2zxzYsWdKq4UlJkTGDiByZmUzufd8+CjAyg08/Bd54g83Zcio5nZuGBuDyy1kaDAAMH26OgYQ/0kTt5pvZ6cnKdJosmIQczDpzJoAvvgg8UK5pQUQN7dsr7e3bpYYcjMfrRhA+yOlKhIasE/DDHwJ9+7K2xmH0/fdKW+Vn1atkR9ICUUV8PKe/C+DQBa24DhF2yssDXtLLsPVBk8Oow+FgE5CiIp2LVM0zopx+6WPfjG/uXJONIdqE7OzzzdN//nPTbIk15BqnAJCWZp4dRNuRdXhbTEqiQjRh5/Rppd3o4jbEhwxh6dA/+xnwxBOUdhFNSBt7iYns9EJdIr46kB/kBiJSbN7Mjk1NoOAEiyEIShL0xYuai5Tdpws5XYnQ+PhjdkxIAIYOZW3NtvqGDUpb5VPVe5FqU28I0+nbF7j9dtb2LLjFXGNiAK/IOU81jtR87fyvrExpu92sytb06cB990XMPqJ1nDvHFr1+UcqkcRRR3tk70NemtGhrIssf7twpdSQnK2FIxKUzdmzASyeohozl6dmTHYMFigFgkzyqkBY2vF6guFg5H9WNm6fxYeNU0TG60JF6WLOJNHiNprBQaXfvDqCkRH9gr16G2EO0Htln8O23UocsG7l/vyn2RDvkdCVah8ulTCC48HFRVA8rKOBOaPfKMsi7Vo5USmGPNFtPd1ROuKjXn/1MR0GADx0XBFZla9IkHe8sYTbV1ZoOh4OcrgZAUXrWRd5zOnOG6+zTB7jrLlPssQ3y7ncQvRo52uvKKw2wh4gI8ryNr0GjS1wcRSCFEbkIUPv2rAhQziEu8oR2AKMPeWLNTbBn9zykXKdnw1B4v4HTCRa5oMfMmYbYQ7QeP0kiWaC/xY9RbEJOV6J1OJ3Kw/Tqq75ufscKADp35k70NF2JqESOOPL79lHF27BT16wvsaGrvBFoMkJEDbNns6Nfmg1FuhrCjTeabQERdvQKeBKhI3uzg7x/PvqIHfv0CTiEiHIcDmDgwBBUbGSpG22UBNEm5GCuCROAqy+rVScskdM1+vj5z7liI4wxBcXISmRrVLG0LMCNRCR4990QB1J0viU4cgS+InXo2DHo2FiFnK5E6xAERdOVg5/T//CHwNSp3EXZObtgQURNIy4dOTNg61bNhZMnDbfF1tTXo65JSTmb0/uAb5ddNxNtxQqDDCPaSpcu7OhXZJ2croZAa1xrM2kS+/6o/EHx8Up1NADYtMlwuyyNHOEa5P0jJyKRzL61qapi3x65Grgu8uSCIvrCgrxhkZAAYPVq9UX6IFmD2bMxNJeltXuaaTPCCA4dUr+nZsyA8jDpQc9SVCP/elasgOJEoDoWupDTlQgdndQMGXluP3MmkJMDCBdr2BPIT+54mYFp0yJoKBF2KDIivLz1Fr4rUgordM2oADZuBEDzC6sip9l88IG6OA3i4tjzQ5OQsNNQT+8lu5CYyB4Rv0z4yy9X2p9+St+iUOHnXty75+xZFuz10ktARYUyhJyu1iYvjx0PHgxh8MqVrE5DUA8tESrx8aCNVasyZgziB7Mw/4bqwDIsxKUjiqzm6ZtvAs8+q/SPGgVg27bAN9ImUVQjqz+43SCnawuQ05UIDUEARozw616xgk3gZf3rMWOkC6tXA1u2qMWUe/YEsrOV/z0iqvF4ud8RpzlKXDrVx9RpTFlJdfivUWtx110tPBpymWIi6khNVdovvshdkL3oNAkJOwfe3+dr07zc2sjSNnw1cAD+m7zkdA0N3gkke+SgvJvOnAGee04ZQrV+rM24cewYtIRCVRU7btnC0pnk0uFEqxBFFq2XlKRI7Ks0DEkWxVLE52UBAOqXvG2yJfZm1y7gww9ZW/6Mz5snbVoEIyUlonYRl4bs96mvBzldW4CcrkTLVFcHXOhs2cKO8tzNN3GXd9CPHFEGJyUBDz8M3HYbyyUkohJZGqJx9lylc8cOU2yxK2/uGuRrPzKapcymxTf4UtQDcvfdEbSKuBQEgenq+SG/CymqKHy88AKwcCHi13/l66J1rrWRi9K8/noLA+k5Co3PPlPaEya0OJz2wa2NvDdRUxNk0M6d6nMq2zaq4QAAIABJREFUctsmVqxg0Xq1tdzSqGdPZcCDD5piF9E2kruzYIbaJgr3jyR6tZUGDAjhRtoRjGrkuUNlJRSn6+HDptkTzZDTlWgZWU+SL6Yk5dJ2bqct1S1x4gQ7bt+u7nc4mNAyzfCjFrkKeGP/oeYaYmOq6pTJXXp8feg3trglTJjJddcpbV/k5bp17Lhrl+H22JGm4nN49sN+OFCWhQYPm4w/MnoTXGVnTLaMuBTkQk66ARL8ouvzzw2xx9JcuKDeKG1hvvXwwxG2h4g48iPy1VdBBo0cqT7/9lvgb3+LmE12ha95MHy41JCL/fTrZ7g9xKWRlN8OAFBen2iyJfYmK8u/T1dOrU8fpSATQP4CC9HsldyKIencxB7kdCVaRk5JkvP/ALbFC8B9QVno+qQFuOuE9ZADiUpKoM6ZJl3KsFHbqDgRXHHSz5QqdFoeh0NKNQTwzTdS5+zZ7JhIE/pwsGe/E/XNTizdMwjLC9kC1x3nUXbYCUvCL8j85BF/9jOlHTSUjwAAlOlX4Q6kzNC+fQRtIQzn4sUAF1QVbiUC/K0Q+shSajJXXCE15IdrzhxD7SEunaQkAE4nlp8c2eJYou0sW+bfJwjw/zDdeCMwfz5r33NPxO0iLh1Z17W8kubhwaCfDtEyshdOE2V3sdGFw6cUR+ypU0YaRUQKWTa0uBjqD95TTwH/8z9K5B7RJsTmAAUXGhv1izFQOq2lGDuWHX37TkFD+IjW8uHKBL++eLdIniMb0LEjOy5ZormQmKhEu/CSRYQ+su6Thg0b/PuGUkKLbZgxgx337AkwIFC1NIpKChlZk7JfP+CJJ7i9cvnhos0/y5GaCqYbSmnshiBLQeXmgokjP/WUekBcHAvyWrgQ6NRJezsRhZSWsuOif1Al6GDQ14FomYICdtQIFlY2JABHj/qcQlOmSBeOHjXQOCLc5OezY309gIwM4Mkn1Wlpq1ebYpddqC5RwlCSXBpNtaef9l8A+ZXzJqIZWdrNV4xVnsiTfp4/VVVKJkWo6ITruX7z35SCZgNkqXfdDdx27Qy1xdIEcKLt2+ff50uPJiyPLN3Ly/n6cfvtbLIu7w4CNKdrBfJ0rLZW46OTBSvJ6Wo54uIAVFQgz1tktim25fx5pX3zzcCgQcBNN4E2fGzC5MlmW2AN6OtAtExmJjv27q305ebin1tHsLYkmOy7LG8F81DhLMsQH8/SbXy+DUEArrxSPYii9trM56uU1+6DI3Uikt56S33+0UcRtogIJ/xCTBShiFbRM+PP//0f+xciR47AL7386t4H4XDSVMYO9O2rtCsqNBcvXFDa/AqOaJGLF4EXX1TeTRMnsiCiX/wC6NzZVNOIMMLvOwVMkOneHZg2TQmLBRQhfyIoHo/y6pFVg/ygzT9L0i2jHE4HzdEihW8ZU1eH9HTg+utZTA89L/YgM5P9Kvv2o99nMGilQrSMh+nlNTUrD1PDdTf72mM6HMc113DvTm1El9vNJnmEZaitBTZv5jocDmlbUuJ//ofSPFuJKAJffgk01isSAmnxAVZGpaXMSVdaytJvALZYIiyBHBheXQ0l8oWcrmrakBFRWgqgsJCdJCcDI0di5OOXhdcuwjQcDkUb3s/pylcEp+j/wGgjwa+5Bh98AJw9q9Q3vUx6ZEhm2n7IzsAWpVr53UGqNB0S/H6fnCKNxkY2H5ahSFdLktivK+qanDRPixAnTgA4dw74/nv1+4aeF9tQUCBNzfr1A0aNYpM4KiCsgv7aiZZZuxbna+LxzDNMKszrBYpLlaI/V2RtZilq9fXMWyeLGY4Ywcp5/+Qn9GK1KK+9xs1B+DAkgNJCWsmxY8DatcBhyYf63xPXAfffD8ybxyQceBYtYpWFFy1S+khvyjLIxbRWrkToTtfi4tia8H/3XctjfvtbVa7sxo3ctd69kZKboug5ELZg8GB29NN19Xk5QPOJYGiEWw98X+HbtwOYo5V+fPYlO5sdv/46hMF336206+oiYo+dkPf75O87ABZtwn+36eGyJImZiahrdtGGXgTw7QNWVeFXk9YqAqCAVDyE47HHDLOLCC+NjSyWQrxxAXDVVcDixcDy5YEreMYg9HUgQqKinhUvWbGCbeqK8ez8lkG7lQjXZ58F/vAH5Savl62gkpIMtpa4VO69lx2PHgWeeSbAIL2iT4Quosgc2AB85W8TnM1AXh4wZIh+io0cliRDTlfL0O3/s3ffYXJT19/Av5rtvbpX3Hs3LriBKQabYCBUQ+i9hF5fwhISQhL4JZQkpiShJBTTew/GBbCxjXvBNu7dXq+3eqveP67u6EqjKTs7ZWfm+3keP9JoNLNaWM1I5557zjFiqesILOi6fz/w3HOJVVvPXyrW0aNAQ4PIjID4bymzH88ZsAY335vF6/M4JJtp+cSLeO9sN7Gvft3e8pixtfgmv3s2bQrgNFFrS7gvUMhJRQXw6adiffRo5Ql78gGnS8ekjOwk1NQnQz/KxrWh5r5V1HWkJjWK7Ef5RWQv4J6dHdFjo9DZt08sj5Q2igy9igqxgddrbgy6km/GyfLyyqGWzdt3iAsL9/Rop9FBd2ctijWdOwO33irWLbFV2VQN8NohmTx99ZXyYM+ewF60dav1sbfOw9TqZGWJfxkZEEFXezaMnZwdYB/1j2eHD/t+3lbb2P1xk5+PXkOzUNiWgxDxyOUSdcUBHxVsOODnndItS9cRYBSb4oWaaLl0aTNeGOh1SYLZs0fUP378cXObJYbwxhvmOq/RYlbjzj1o1F2oXbYm2ocSd1asEMvx/Yy67Hv2OPeq6Ns3cgdFISfLFh2d/YLI0CMPDLqSb/X1qKhNNe+CDN98I5ZpSQ1i5ZlnPF+bnx/mg6Nwyssz1+WAlaWuKwXMoz5hMIYNC8GbUKTU1yvJyi6X76CrbLbFYJJJDUC/9BI++shY13WkpjGbKJ5lZYml1woUgZ4nDQ3mgEYCemd9f4/Crbwsi3/y5jeg+94uXcx1v4VgE4/TrY07x8Tev2LChLAfD4VHRW4nAMDK3cVRPpL4UVcn6iBXVYnHfToqRZGrqoDdu60v4KzYmNatm1hW77c2u2Wmq4lBV/Ktvh7f7ezi3OJ2zBikJRs3P0OHej5PMU/G2ufPNzZkZwM9e0bteGJVu3bGitpSuLnN5eS8QYoJdXXiHvbQIYigq69AkXyOQVdnStOtIe33Q3Mx6BrPZHkbj/4+MpoU6Hny4ovWkkfxTs0O/9WvsLLXWUC6KAVVUCA2FxVF4bgooiZObMbOM2aY62rWJnnEVAHxESTrTuODD6xPDhoU9mOi8DhphrjZ+Xgxg66h8sgjwGOPAatWicedCpXaNi6XZ2kOe98QiilysLyqjhn/3jDoSr4tWoRvd3RxHqnIyDAzXXv3juxxUUTIe1xL9Ygzz4zKscSy9esB7N+P0dveBACM77KjeeU3ZK0HihkyyPHUU/Cf6Tpvnlgm6hRPGV2rrTUvxJXAWmOTEWTVdfyi3SJLEJbij9eElx49xPLFFwN7I1kvLlEGM9Sb2G7dLNOdp08XSyYTxT9NE4HBgLKa3SPCMIvyEQBgjW2meXIyMGmSUl7f3pmbIxoxKzfXWGFWXkiUl5vrsm9Wsku5BtY0z/OF5QVimry22FvJurzeMOhKvslgwO7duO46UdvovPNEYusttwBJQwaK5+1Nfy6+OKKHSeEhGwaozSZZ6Lx5dN2YKb19O6b12oSz+6/FSb22NO9N1FoPFBNuukl54C/o6i+I+I9/ALNnh+S4WgX7jY0MFr33nsjW27/f8nRdo1F+Ye9e64U7xT3Ln4pasLKhwfcL1ZoutvrAccldAwhAmzaob0pyP7zhBhGvnjQJOPXUKBwbRVx9vTgFapvbF4glBtzefdf6+O67fezM0gIxTUtyITtVZJeUlorBcn9l58m7b7/13Kb9uMx8UFnpmSlOMU1WMlq4Q5kZnZZmlk8jBl3JN3eGUY8e7gHx/v1FsmN+PoDTTwcuvBBYvNj6Qp5kcUHe4+7axQHgYLljbXl5SHLpGNxuPzTdIXA0eLDzG0ybFrZjo/BxuYA+fYCOHeE/6OrPvn3A3r0hO7aoc5q3CYi7HcAsAgbgaEMy/rjQuKFV0ycorp10kljWKDMSLX83/oKuyt+Q945cMWTHDuCjj7x/jrz+url+3XWW/zxt2oiPoBNOYKZroli3Tiy/+CKAnWfONNdl1xuyKClREsfffdfSsA4AUFgY6UOiUNI0uDQd0HU8+aQoC/XEE9E+qNjlt5T6gQPmFMqBA4HLLw/7MVF4aU5Vvxg4sGDQlXz65Mh4AMDkmQXOO6SliciCPcjKm+O4IaclWmae3XWXn2F/kmSmSWqmn27rZ53lvH3s2NAeEEVMRoZx8ZmU1LKga7yxRNIcGNPBD1Vn4NEFRsBV1zH9LKPI9KWXhu/YqFWQU6MtlxKpqea6DNB7Y6mJEwf++U/ghx+A7dut22trRTB6505zm8uVyP3DCCKOAQRYsUZt0uku4E9eLV8OzJlj3cbSArFN09A2q8ojSLR0aZSOJ4atWGFW3jjrLGDkSOCSS3y8YOZM574xFHP69weQm4uV+4wsvXi7DmshBl3Jp6WrUgGXC0cqfWSufvSRbf45jDOP4sHAgSJmZEmAyMz06IpMzmQflxE1C33vqGnA1KnhPyCKmMxMI+ja0kzXeOMv6Gqk6W0/opTV2LgRHYqMCzim68U9mTVh6cDeoYO5/uyzvt8g0LqvsUDN8H3hBXPea2Mj8Ic/AL//vfn8VVcBAP72N/GQXymJSZbe37UrwBeo2a7ffx/y44k1auztnnu8PCGNG2e27qbYpGk4q/86j80ffGCWBqfA/PijuT5okJgQ67MPcLKfhBSKGSNHAhg8GG+vYwzICYOuJNTVieDp0aPmttpaMQ26qcl7n6zKSpF9IeXn2+bhUKzLzBR90latYtyoJTJTlBtnbxcZ9gv3Ll3Cd0AUdocPi4/WmgOV1ky05vCX0ReL7PVp7VPF33sPALDtiNkJ5ryCz9F5i5GF5eKlS7yT1xzBnjZxxT5z6IknRCTghRc89+3UCTU1/K5OdOolxqFDAbygTx9z/dNPQ348sUat5pOerjzhdGKpmcIUm1wucY2u1sY2+L0E273bf7mbBKJOM3dVV/quNTBrlpd56RSLevUC4z8+8M6FhKVLRfD0s8/ESG5DA/CHP6BJFx+GcqqSB8vVCIAZM8J7nBQVQ4aI+PqWZvZ/SlSHD4uxh5ISc9uErsa00AkT3NlIHtQpahMmsM5RjJMfjzvLc4NvUCKbGQKtr/FAZWVo3kd2l5c3tDU1eGbJSCwvmgpkZ6NtVhX6FR80U05YMzzuqdftljhHjx4RP5aocyrMuW+f1xSsV18110eODNMxUasnG6FassW9sc8eSPBpoTK5fPhw2xPyu0pV4KX8GsUOI4P51NSv0KEDcNll5lMuF0RCUkkJ8N131tctXChmXTz5ZMQOtbWTpYEuvRTAY4+Z0/3sUlPhPaOLYlXPnmLJcq6eGHQlQY7u/fijmFq0Zg0amsSfR7ssHzfW9oy9Xr3CdIAUTX36iPK9X34Z7SOJDf/+t23D0qWiSH/PnsCJJ8Ldlc4uKwu4+Wbg/vvFfhwBjmkjRoil/Cx1pM4uADyvVNTP2NZUYGzLFnFBvc5zSp5fsmmcvKOVBaP37wcAHKzOxJ7KHHG343Lh8uE/Wk8FBl0TQvv2YmmpRpGI8+XXr/fc5iOSppZ9ZSWOxDV5slgGXC7xiivM9Xhq3BgEWdp2WMYG4I03zCecMhrVWtMUm4yRvTGdd+Gaa6znjKbBvPn57DPziepqc0CsvNx7g9B4d/iw+7pV10UYISsL6F6xynPfgQPNgVM5KkRxpagIQFaWmKnm7V43QTHoSsK335rrmzYBuo6aenGzP7rT7igdFLUWycmiX8eePZ7le8mTPY7mHtQIpIt2YSGnZ8SJPKMkaXW98f/TaehXdhyQ7PusXh36AwsFWSwwmPnfLpdIh5At6m03+G+sGSBWmpqQk9GA9GTbjS5rgCWE448Xy93qJUibNv5fGNB86hhQXQ38+c+B78/BCFJkZYllwDUp1XJG9oZtCWbjRrFMPnIIWLPG/F62B9YuuiiyB0bhYctgVgd5jx4FsGSJuaGhQQRp33zT+h5PPRW+42ut9u8X5W4Wip4Vr70mNtfVAXjrLXO/qiqxXLPGLGWSqEHqODd4MICRI7Entw9w5ZXRPpxWhUFXArZu9dym6yLTCEBGsp8PRp8VsineHDkS7SNo/QYMUB6oVeUpocgss8rB48SKfWpifT3w8cfWbfaacR4R/FZC3pUEM4eosVEEiLwMLuyryhYrhYVom+8wzZWDEglBXlpYSkwGElh0uvl97rmQHFNEffWVebMaiDvvtHSrv+CC0B8SxQ75Ef3zz814kUwvZy0pAEC28VXk/u5WG/glJ3N2XxyTn59Hf7INQBw8CMydK06soUPN7eXlQFlZxI6vVZA3hEYcYcMGAGVlmNLV9qGjDh4OHy4yXidNisghUmR16gTA5cKhY0/jtboNg67k3IxB1/HKKjEFtGny8b5fz4uzhHDqqWLZnHvARLV8OYDDh3Fa2x+AI0dw4WBjmo1aKIrinrze+Hq5UfPNHlC11wcDYqMQkqz7HaymJnfpAMt7AqhvNLd17OzC5JuGeL6eF3IJQc7aPXRIGXsINptz167WVZ4DENdOapTUzj5IM3OmKD/jpKQESE93f3xkZQF9+4bkKCmG5eQ08wUdO4plILNy4kx9vYghyb4/RUXmbBX3uaheADPhJK7JcqNfvrjL+sTs2aLW/vDhwJlnWp9LtBsk+X3c1ATU1SG3oRRYvhx9Vr7pvP+IEaJW3TnnKCMaFE/kZf2SJbFxOxNJDLqSp82bgbIytM8WtVw7D/ZTJP6UU8QyNzfMB0bRJEuzvPNOdI+jtXN/yaxYgWP3f4Q7xy9EnyJjumu3blE7LooimXJkD6I4NeWIhbbjP/4IfP21WFdL0wSithZYu1bUKVHn8BmNW+QMixRXI66+RkPXQbbvFdbPSygnniiWlvEJOW+6uVpbI7oXXwSeecb7ncnhw9bHQ4c6R9GU/x61tWJ5zjkhOkaKaXJsLOCZvJZpOollzhzgL38x+/4cOgQzqPTBB56zTqZMieThUTjJwQaFy1eEpEMH4LTTxPoNN4TnmGKBPCcaG4FHHkGXDV+iTWYV2mRVO+9/wgmROzaKmuJisXzooYTvyWjBoGuis1/US/PmQdeB3LRaFAzo4Ps9jj0WmDEDuPHG0B8ftRpy1hn5tnatWOani4uRrFTWLUpkw4YBOdlGINUeZFWzRSdMEEt/QdfWMHS8Zk3wr5X1jQFr0PWZZ7C/Kgv/+lE015rZz6F5kP01FPdkr7VvvlE29uol7ohbw7lgN3t2YBm16nn+yCO2bmEQnxXbtlm3aZpzpu8QMxtczm5NSwvweCmuTZ8ulp98EuAL5HT57t3DcTitmqzjKl16KczzbfVqa/31khJjHi3FBV/XFXV12FaWZ9127rnmjBu1zngwjUVj2Zw5YrltG442JGPNgbY4UO1jUDTYAVOKKf36meucmGZi0DWRNTSIAtgOKutSsa8qG+W1AVy5JyUBo0YxAynOpadH+whiwzffACgtRXYqh/cIyMgAKmqMqw570FX9zJQzBWIh6NqSY1B/P/VGp7TU3bwRAFKTlP9W48eb6z7TTyjeqPdoctov9u8Xf0fLlkXlmHzau9d3Ru3mzaKkgFqotr7e2iEdAN5/3/r4vPPE0unv/+ST3avvvSeWDLoSABQYE9Wadap06JBw1/NOX2ndu8M6MGqvv05xLyujEdB1/Hv5cOsTBbYZoLIA7IIFkTmwaKuv97ie/d+WAMptcNA8IYwZY67zf7mJdy+JbN48r08dbTBufjkqRQqZ7doa4j5Rp+si489W27JHDwArV+KcAbZsQN4FJ6SqKgCahsW7OnkGXWVb6TvuMIMp9qCr7MYlNasrSisk57kOFjXD1dGchibzkqSuUcnoU0vXDBoUzqOjVkhWZTl40Ngg66B+/73/F8v6BK3Fyy+LkgJySoSkNmApLQVWrLA+r6aO2LMQjbsatUs9v24ICDIZc98+4KefQn4srZn9173rLmOlNQ7sUMRcc7m4vs9K8ZNEkZzs+/l4snw58PvfAw8/bNm8eBczv0nIyQFuuw24++5oH0nrwqBrIvrqK3HBrwZdzz7bUm9S3vD2P3+o/dWUwPbuFctYj/uExJYtIjvpq68smzO+FFlOOWnGRdqoUeIb6MorI32E1AqUlQFwubDuQLFn0HXTJrHMyjKDrvYRDXuK+X/+E5bjbBb7Me7eHfhrZYGnkSPFctgwd4To5ZXm902XvHLzNWp2n+zoRwlD/i+vrLQ9ceCA585qAbF27YCePa3Pz58f0mOzaM5opH1wRR28c0eXFWq6yKxZHoMPNTXAP/9pPubMFLI7dCjAHeXfZgKNrn/2mbl+yy3KWKdT3dZf/CISh0StQG6OOAeq6o3M76uuAu65x3NH9fN5//4IHFkUvfuuxyZ3ohaAy4b9KFZkYU9KSLm5YqYfmRh0TUTz55t1WKTBg90XEj8dKsKzS8UN8ZixzAsnTy+/HO0jaAVkZxdb/b66fYeR7GqCSzNuWGbMAG6/3Vr3iRLG9OkANA1bygqsgRb1hlbTzIt2ezCmNdaNs9+MP/ts4K99+22xlIWeXC6gqQkVteZ01puOXYTctFrzNeoNDcsLJBw54aba3ptj1CjPndWawbNmeTa/Cef0z+YEqey/TLkyyGCv23rFFdbHKSnAL38p0vFuuw2ANeDarZtz6VdKTLL6hHpqBOTIkZAfS2tVWiqW/foB+fnKE2qGuZSX57mNYp+cfaPautV9La/rENdjTiNa6vdMIDW9Y5VD89cmXcOjCya4H3fLNz43brhBNH+ULrss3EdH1Krx7oXMG5eiIgDAj3vMjkmpmQk0ZYL8uvZasWSyGURtPsCdWaXrYrZrRV2atR4lJbR27eC+UG3cttN8Yt8+647eygs0NnoP2Dc2Ni/LNFQGDgz+tfLOXwZdNQ3QdTz+nVG3NTUVBRlHgTvvNF+TYPUFyUre47p7TU2aJJbqlHxJzRjNzXVf10RESzMDZekNdWBh+nSgSxfn/TMz3aU31P8UF17YssOg+CJ7Y3lkivtjK50Ur9SyHOefb3vSaZDPY/SH4sKqVWKppoR/9RXGdxF/IOV6jvfX9u8fxgNrRRw+E15YPsx5X02zlsfi9AtKcAy6ksjEg7hfWLmvHdYdNG/w09KZ6UommQHgr9dPQsjONtc3bsTWLTo+faUUK/e1Q3W9EVA67rjoHBu1LkYW2+aXvzW32W/mfAVdk5Od62t//rnIMn3xxRAebADkXXxL2DJdZWpe5onj4XroQevvO3gwcPzxwH33tfznUsyRfyruSi7HHy+WsjyHSp4/Z5whlvYbvdpasyZsqDkFgZtDlkZQm2oFcK41Npr3wiUlrOdKVrIk9uefB/gCWbrCniUep9QscUcnnWR9HMmBHIq8qipz/cABVNaJQd+/1Fzr/TXqbJxFi8J0YK2ArDFn+GZrN2w/YmZ+z+y33rq/Or+cN46U4Bh0JbeDB4G311lH69hHi1Qy4Uytf5WwJkzAoWrjguK//4Vr0XfAypXWfez1BCkhde0nRvtfWaVMX5ORJJnF5i3o2tAgApJjx4rHalMpmeW6ZUuIj9iPggKR9t6uXfNep/5ucoqmy4WmRl3UPc7Lw69+5fA6lwuYPJkZryT4aocrpz/KQTGnv5lnngnt8dTVib9ttcZsoDeYxqC3hZpJZ++SbaPrHv1MiCxkEF6tYOGTrLedAJmub71lrg8Z4mUndYAdADp2DNvxUCsgM14BYOhQTOm+FejatXk3xK2lHnJtrfPgZDDq6z1u/naW51oeD21nBGVLSsRSnRXFoCslOAZdye3wYduG1FTe45IFyymaNi3ch6cWj8GqfW0BAHO/NzOqijONm+YePaJxaNTKTLrAqMuqBlDkRfmIEWLprZFWQ4PIdJ0wASgstL6Hr+BTuLVv3/yMnx9/NNeVIHN9owuorcXJg3ajfXvnl1JiG2bMYPQ7s1fe2KlFTe+/PyzH5PbII6JOvlrv7quvAus4KQNcQFDB4DVrzHVer5ETtWS4rIrkkxwQlOUu4ph6/syc6WUnNfjMYsnx74cfzPXkZOQXJ7uv5WtrvbwGMMveAB4NdqPm5ZdF89VQ1Gf+5BNg9240Nmk4VJ2B2oYkbCwV14C3jP0elw370fOStKgIGDNGrLOrEiU4hlAS3c03AxDXVq+8Yn3qhL67GGQjr+bOjfYRRFfpWjGi+9a6AQCALSvMNJIp3bdG45ColerVW9S2cqUmobER+OAD4Mfnl4r46uLFYidvjbQaG8WNnqaJC1j1Rli9wl1vm9YVCSec0Lz9PUb2gH2fLMOTi8YANTUs+UVeyWsR2b/QKxn4VC9eUlLMzBsp1JlI69cDX35pPl64EHjpJf+vU8/h8nLrcU6e7PflaiPpm27y/+MoMcnWDWq5Sq+SjV4OCZDpKr9u77rLR1KB2kzLoZEQxbH6enMQAsCTT/rYVwYXAWu2bLToOrDT6CMgO8W1xM8/48Of+uDheZPx1OIx+MOCiWL7Mccg/7IzzQZadiefLGZGFRa2/BiIYliLQmqapm3VNG2VpmnLNU1bEqqDojCpqfG80cgRhcE9erF064aJvzk+MsdFMWXqVLH0CLrquqj3s38/sHp1pA8r4uobzY9P+2lV18hsCLJxudDUoOOpp0Rz2/e+zsVHG/uY9fN8lReQN8EbN4oPa/kHp6ZdyOBtJBUXm+uBdGlxiKr+Y89MVNWLFL3+xQc8nicCgGnTxHL+fNvnrT31VQZF/GWkhSN44jCoEFD9WG9laHJ8NG4xyLjY0KEB7U4r47NaAAAgAElEQVQJSpYlXbPGswqShwQJuqpftWq/Hw+ss5YYeve2Pi4rExmiKSm48kqxqapKaehop041CEVmaUvt2mWuh6Duf+3BCizZ7Vlao3hkN+t/O3uNqKQkcAoTUWgyXY/XdX2YruujQvBeFC4vvAD88Y/AQw9ZtxsjeO5ki8GDgcGDcfrNx0BrUwwiuwkTzHXLze9DDwGzZwN//zvw5psRP66IOnwYX/xs3ih/vfUYy9PJLtYuIge1tZZeO0t2dzSnF/tqpCUDSMOHi7tD+YGtNjX4+efoNnAIpF6X3MeYhldeDksJjox9W0N/XBQX1PtZS23KP/3JXG9sFFMpAf+1cNS/1yNHxIBGMPxlzKrnpGyUJY0eLZYXXOD82s6dfb71unXmegBJsZTA5PmzbRvw9tvWSi8eZNB169ZwH1ZUxXlMmZqrTx/r47/+VZwwqano1MlsJOz13FEyYluF558P6du9sHyY58aBA3HDDRDft7LvAMuqETni5PFE4XTxNGWKe/W//zVWiopQ8lSRpcwYkUrTzKyAqDe3PXgwOgXrP/rIXO/VC/O2dXM/nNHnJwxqux+4/fbIHxe1Wlf2mWfNBjXSJeo0o8uJt5quBw6YUxHOOEPMg3TaDxA1t6IlkPPwf/8Ty2HDsGEDsGAB3AHlk3sGUmyQEpkc8POYtS+zXdWu006ZrvLcAayZrrNnKxdBzeRvsGH5cnNd/cLs2RM47TSxLoNcdn4a1c2fb66z1CQ1h8+vChk8Wro0IscSLawUQBZqqRc1Il9dDU0DLr1UPPz88wDf7/33Q3VkwcnN9b9PM+yptE2lOO44XHFPG/M/27RpnmV8iMitpUFXHcDnmqYt1TTtaqcdNE27WtO0JZqmLTlwgFMHw2rvXlG8e/9+a92/DRuc91dSI+Qs1Vmzwnh8FDemTxdLn91ww511t2sX8PTTwJ//HN6f46CuXrk4U6ZMXzViKUZ13A2XpnOuJ1m4m6s1NGD8eHP7I38w/pa81XQFYEmPlVpbms62bZ7bvHQ9WvpzAV591VoRYXyXHWE6MIoXsi5lXR2AGTPMJ+TfmXrT7JTpqs4hVs8zr/NFAxDIaxsaxKDE//2fuW3WLN+N8I47zm+jPLUslL3BOpHdb35jjgXX1fkYL/A51z5++G3Kp7r4YpHBd889YTseijL1O2PBAnPdqIcaUB+o008315ctC81xOdF1cYy+OnvZb9DsMy1aYtgwICUFXbqE7i2J4l1Lg67H6bo+AsCpAG7QNG2SfQdd15/VdX2Uruuj2rRp08IfRz7Nni1SH/7+d+C118zt+/Y5729c0KvJIZwVQIGQ8cSKCh87ffJJgF0bgiQDUc26cm65efOAR9436nBmZIji8GkiW7FjjvEfhPWLyCY9uQHXjlqCE4aV4qQTdVw7ylYG3Vt5AcDaoEHydvJFOvP7rLPE8u23RZaDzHTYulVM/XYoNfLBh9Zg0sVDVogVDlSQD3J6Z0UFUF+oZIHKTtFqHb1I1XR1SnuyB61+9zvP0k7+yh8cH3hN/U6dmOlK/rlc4iN2xAjxeO1aLzv6CfbHg4MHgaeeEuszZwbwgp49Ra1KdnuMX+rf/TffeDxtXOYD8JFwEqlpohs2iMaNzzwD/OEPgU07bEEzLb3Kdp9VU2MpNUdE/rUo6Krr+m5juR/AOwCODcVBUTPZO94CwGZlqqafC6innzbXeeFOgZCzVn7+2c+OkZq/9f33kfk5AP73zhGzYUpamruW0eC2+8xT7ZRTInY8FCMmT0b77EpMWvcMtMoKtM+uRFFGNbrJyhTyw1c9Z2QA1SnF4oUXzPXBg811p4zTcHJqGLFjh3l8sqmekZlbU2+dSl1UBPQsNM4nNiyhAB12FZkP1q0TQX61hp2/i5nt20Xmj1MWeXM4dSVSyxg4ue8+z20lJcBFF5mPvZUcMKhjMxdf7PvHEalksOTNN1vfhIlIKCuz3vd4mwxICeYYpTeDl8HrW24Rl/wLFwb4nmpWUyjJ68TSUpHtqtb396YFSTDLn7U1ak1Lw4knBv12RAkp6KCrpmlZmqblyHUAJwOI/5blrdG33zpv37lTLO0ZFdOmAQ88AEAMjsnZccxypUDJhDT5p7dsUT1K5k5BaY0tOBTOrLsPPjDXP/00fD/HTu1eIm/YNQ1Tum81t/upxUcJSEZXGxvdWapHG5KxbZtx/ewUdJUBzU2bPN9PTbU4+2xg6lSxrgZjI8Hpi+Ozzzy37dqFitpU/HGhNT3Cch8QyI0DJTRZ2ua5/2aiZO4UrNhrfNa+9551R2+ZpMcdJ5Zvvgk89pholhKsYL/f1K5gql69gHPOAe6+2++PVctDM/mOmqOw0Fz32j8uLQ1o2zYixxNp9lPeT786ShRyKoWd0ugwP1/MrF+61M9MP+lf/zLXDx8Wg+L794tBtl27gj9WezKVffRE18U15XHHmSUPWhB0/XSJ2Vh7YtdtuPS2Qh97E5GTlmS6tgOwQNO0FQAWA/hI1/UIRj5iRFNTeAJPe/eKD+1XXwW6dnXe5/nnRYDIPl117Fj3Df6jj5qbL7ww9IdJ8UnGh+Qsyvcf+wkA8OQi2zRony1yWygKXbyqq2E5n2+7Mwm33AJcdRVQdMYEYOBAcV4mSE00agY1c80IrB7bSVx0P/wwUHE0xfIcADPo6jTtvmNHsbzkErGMVs30Tp08t8kBP6mkBOUfzcfj3423bD72WOCaa8J4bBR35OWOLFv/zvr+YkXOPpC8ZbrK8wbwrHHns0i5g48/9tx20kliOWiQ82u83dhLAwf6LB7Y1CQ+L2R52G7dvO5K5NX994vl66972aFzZ++DA3HkF7+ApcY6kYe8PMvDCRPE57C3fCcLNdD5xBPAv/9tNlf0Wt8jCDLo+tRTIo17zhxxLVleLkoe5Oa2qLxAbYP5fTq1xxZ0797C4yVKQEEHXXVd/1nX9aHGv4G6rv8+lAcWN377W2t91Zb45BOzjMDs2WK5YYP4cPWmtNR6Aa9coas1vm+80e9sNiKLXr2AggLje9x+wytt2RKeHx7pupWGqirzZ180ZCVyp41Hfr4RdzruOJGlROREdoRW1o89o4N70+Ozjan1atBVro8d6/l++flAmzbmlLiBA0N5tCG3eJn1C2b0aNG8vUMHAFdcITbeemvkD4xiSqEtwWZgm/3OO3rLdPX13fHcc807mDVrPLfJC6lf/tL5NdOmNe9nQHzvfP65uNHfscM6jt7KT3tqpdSvI8dYTFJS5MpDRdCePWI5caK4nRoxIiFK2FJLqCcLxHfQkCHAkiVeqgf4y2AKKFrrh/2PVk53OHRIFCyWM/JkLbjCwqAzXcvKzJ+X4moEI65EwWlpIy0KRKgKBslu8E419LzRdeDDD83HxjSDo0eB998Xm849FygudngtkQ8ZGaI0xYoVsExt2VWuZOV5a+LWUk7Nhg4eDM/PUrz8Mtw37b0KS/03QyGS5IdsTo67zmlGYYa7mzQ0DZtKC63TxGRQx5751tgosiTUzuk9e5rrkR6U8DMdGgAWbDKayw0fjmOPFQFXty5dxB2wLaOEyC4lxZwOnJrUiCSX9W/9cE06Gps079mivro9BzRfVOGUTatGQZ1uvoMIZP35z+I+feNG4MUXze29ekWubwvFnxkzxHK1U2G4pCTn66wYJ39XtQw6kU+2oCsggvYNDV7ip0VFDhsdhPI6bcUK4G9/89wuyz8VFQUddH3jDXP9gsGrgVmzgnofokTHiEGsUKdS22uX+aJeNN1yC1BcjMZGc2oaAAwY0PLDo8SzapXIkLA3+dyZGoHiwE43rr5upkOkvBxAUxP6FxtTuZkiQYGSF+4VFcBPohwHevRATo6YaQCXC6v2tbUGXZcuFUt7uQrZLEst7KhOVYh0d5SMDODBBwPbNzcXkybx1KHgXX45cO+9QG77DOyrNJuvHW1IxhOLxuLDn/p4f3F2tu83b871VXW15zb1/dXGLJKP0gH+vPmmeUn34IOi7xabn1KwRo0SX0uLFjnEf1yu+Mp01XWgtBQ//SRmV8RpuVoKB4ega1GRCNz/8IPD14C9hIyuOwdYWxJ0tV9A/fijc4mpggKxLCoSB6oO1Adozx64rzU75ZQ7/vcgIv8YdI0VsoAZEEDLeIV60WR8EaxbZ5Yyu/LKEBwbJaT27Z23f4JTw59o51S2YO3asGb4uRPMm5owoE2U6mdSfJAXx0Y91KIimBfRTnUi7YEaf5GW5gRd6+pCE6TVNODmm51/RKN5vCeepPmNexH54nKJPj8HjzkW+6rMP6b6RnFJu7HUR6ZR376+39xfHXJdF40bS0s9bz5l6qBkf/6UU5rdsVQdN5eXgRMnctCCQqNTJzFFWi03BiC2Ml2rqvzPAFy8GGsfeBUHNpd7vXYlcuSl9t7EieLy6U9/so5/e1yfyQZaoRToF4CsxyOXQdR1baqocv+CaQXsV0EULAZdwymUnZiffz6419nTEGFt+s7RXgrWxRcrD9QaP+npeOi7kwN/o+pqUZdYzeb+7DOzfrGTt9/23LZwoUi/DRP3ALGuY3A7L3UEiZrDKE+haUBungaX5mXQwH4RL0tp2Jv1tGkjlr6CqJ9+Ks4tefH9yCPAM88077i9KSwUpQJsFm43t8nm8UQtlZEjboabdHED2tAkzqfKutTwjb/t3w98/z3w5JPmd9Z994nU01GjPPc/4wxzfdy4Zv84+1da+/bACSc0+22IHMkyL199ZXuitWe6NjYCf/mLaCb85z+LdV8BpZ07MWfNQKCmBv37R+4wKQ54KSMmL7cA6321hyefFAVg7Vpyfr36qv991KaRsuRBc0sMVFaKdF4pSv00iOIBg67h9J//hO69mlPH1YdPPjFnYV9/fUI0J6UwUWc833XRblwzUrmoGDMGO8tzA3uj+fNFlqqaavHdd2K5ZInzl7y3UgLhqiEL4xTUdVwydHnYfgYlEFumQnqmC0cbAuxmKK/27dOXJ0wQS29BV10XASNA3AhITtPSgnXFFcDJxqDLKacAWVlYd1Acb1ZmEzP0KGSmThXLyjpxIbO30sx6LS/38cLrrvP9xmVlzTuQpCTvmUfDhgHDh/tvruKFw7g5zyEKGZl44TFFurxcXPS01iCLzG5Ve2Y8+SSwaZPnvroOvbHJvd7HR/URSnBO9Vh99G649lqx3LDBTzzTqXCyOoM1HGSDUkCUGdC0ZgVddR145y0z2/28gU7Fn4koUAy6hpP6QR2JaTq33QZMmeL83PHHAzB7cQEtKi1GBE0TCXMlJUBmWiM65FSiZMpc8WRSEj7Y4OPKtqxMvHDrVvMO0uni/sMPge3brdvUu2l7452FC832tCH26qsAGhuRnmwEtAItlk8kqenh99xjeWr/Ac0dnARgZtE5TUfo2hW46SbRelklp8GpH/SqMJ0bHsaPF+f3uHHAnXdi/8hTgexsDLx8bGR+PiUEWaZi+V4xX/j1NWbm97PP+nhhu3a+39gp0gmIwUCnoI6vhoqaJrJdg4j0HDxoJu/J3/WXv2z22xAFZPFi5YEsYxaBBqVB2bXLebtTssuHH2Lhp6JJXkFuhOudU2xxykTyMcrVvr15G2KZkBrIB3WwZZ1efz2w/dQZUsnJosRgM8oLlJcDK9aYiQD92xx0l8QiouZj0DVS1q0L/8/IzTU7ZNtNmuTRHyI9PfyHRAlCCYTee69Y+qx7KusbvfCCtf3nSy+JdGyV/cJk505z3Wm6ZqimSjtpakJ+uhEMu/zy8P0cik/qIMEf/mB5KidXEx/KQ4aIDY8+Kpb7vZSyKCryvBmQQVeZzarau9dPJCo8dB0iKDVqFKadxXpgFDoy4ft/W45BY5P1XKiq8nN/eeutIiPbqQGct8GJzz4DvvjCc3sYUk8PHACeftp8fNFFYhzD2yUeUbDkpczHHzuMfbfWTNdAz7myMmDpUnz5s6ilPKhH8xsJUQKx12+9/36/L7nlFrGsqVEqBgTS4XDVKttIRwDq6wOLJ9x9t+e2wsJmZbo6jreo5XKIqFkYdA0n9aJAdqEOld69nbfba/wZyis0j/4QbEBIISO7sUM0OElOtjbPCUhtrciusGfp+aqN3LWr8/YQ3yi43271amSkGEHgrCyv+xM5yvQedBwwAEhLaQrfrIjZs30/H4ab6y1bgH/+03zsKyGQqLmKiuD+o/rdvEkez8+Z4+PFeXkiI1vTPMsNhLIefxB0Hfjb36zb2PyHwqVrV/N+wJ6cEZNB1+VKCah337U8NWFoRZgOiOKCPegawI2yppl9qh5+2NjoUa/DcPPNQL9+5mNZSs2XhQuBL78U64FmnjtlVRUViaBrgOf0yy+b6/dNnC9WGDggChpvgSLl55/Nm+nGRqUrTwCcRrVmzbI2GrrtNp9v8eKL5vq4ccCNNwb+44n8sk3XbGgA1hwwpkU7fcE7XTDPm+f83k6ZRVJBgfP2UHRjV8gZpSOz1of0fSnB+Kjpkp4O1DUlm7XnJHsJDV/UZnTNFYZsvRdftCamE4WcEXTV4fn3G3Ds1KmEh9o8JMKCaDBN1CK33y6Wy5cDFWpcMhaDrp99BkD8HiVvD0HJ3Cnup9JqmlmvmRJLIBmqDi64wLbBXvpJKigwu9cBvgfZZazgiy+ABQvENvvMJ7Vuq1RS4nx+FBWJ5BZvAWG7XbuAPXtwZr91SE0yUng5ck4UNJ494VRZaX0sR6rmzAH++MfA3mPdOs/6LVdeaa5fdZXoiJWrNC0aa6ubN2WKe0bBjBmitwmnqFFIyWCP0la57Kgx0hpo0DVQ6pe+tyBWiLvuyl9veAfjLp7toykY6t/9TTdZnkpLA3TNhbpacb40NLmwvyrL4WreB2+DEN4aNtjrJYfRtGkR+1GUQG6ctNJzY48e7tXDhwN4E6fvo48+Cv6gWkheKkr/7/9F5zgocaSnmyXHH38crX8mj69ryLo6NDQYv4cyEJmbVisG90M8KE9xJMiga5s2QIcOyleP09/n1Kliu3rf4qtJ9ptvesYK7EHX5tzryHTcN9/0u+vevQA2bgR27LCWimMXR6KgMegaLrru+WG4dq24+VW7bfpjjNi63Xwz0Lmz+bhTJ88sjWnTxH733w/cey929Z7ifkp+5hKF1CRjaqesR6lyuihoyWhpIDWJQhB0bWoSA8bffAO89ZbY5q7n6q2JA5E/HTuKZX6+ZXNaGgBNQ22tePzi8qH4+w+jUfJ0ceC9TLp0Ectu3azbvQWQ/vWvAN+4+V55xfo4LS1sP4oSWPFJw3H5cLN20nkDV+PBu81AyxNPBPhGTqMCgURs1RlHIXD4sDm5KTNTlJy1z3glCoeePZUHM2aIZSSaAAfDVwZuY6NZVaCuzr353IFrxEogU7opMal9ImbNatZL9+wx+88B8Kx/OnGiWNo/0L39LTvNclWDrtOnAzk51udHjfJ+gLL575YtIh7hrV8ArNWoUpKUzwAGXYmCxqBrpKmZRb5GuCT7qFugUdPCQlF7JS3NPSsB8F4Ck6hFevUSN5+2QFJ9o8v5or25X9zvvmsGUu3lBpzqGLf0RmHePBxdK66evv7a3JyZYVwcnX12y96fEtfVV4tzxfbZnp4OQNNwtM6FpiZgR7lRViApCU8/HeAsT00Tg3L2i/p9+0Jx5AGrqbGUeQYADBsW0UOgRDF2LLrkmtdSfYsPQUuyXtoGNEY2ZozntgNKho9Ttrh9cCMEPv/cXD//fN7jUmSddJJYlm43Zur5CMxElX1g/aqrLA9XrxbLwgyzlJt70JxdhMmb7t3NdR81+H1xB16HDjU3qpnj9g/1QEt46Lr1fBw92gykSvIEdqJm2M6ZA/z976J4eFWV575GfGJkh93W7fxCIgoag67h4vTBVFZm7dT+l7/AndbkTQhSHORgmdO9OFE4TJ4slrWNycBKh+mfzf3iXr7cLKxq16uX57Zggq66Lur4NTQA//sfal56A9ixw/30sccCrl49REeT1NTmvz+RD+5M16O6dTzOOFecTiNHycme0ycjfKH81VfWx6eeymt1ChNNg6YBp/fZgHMHroFL0wGXC9dcY+6ybVtg7+NBrZH8wQeezwf0xs0jr9ceeICD5BR5MoazrtKYNaGWLmtN1C/EDh3ErD+7+nrcPGYRHpw8F3eOX4jsVCPr1Vu9TaIW+NWvxHK3jFO6XMB994kSUb4aqQR6v/LOOyIYOngwcO215nY5+/WOO3xPKXJqgnXggPWCTdfxt5vWQ3bent5nY2DHRkR+MegaaZs3Wx9/8onv/YOsL+PkkktC9lZEPsmE7LrGJOdum8FEYOyjwTNniqXThUQwQdfVq8U0bKOh1/6qLPf5mp9v1L5vbAzpOUkkyaDr9oOZWLRIbLtkqNmFWYn/+xZM0PX88wM+zkCoDYyuuso5iZAolEZ23GPWntM0dOhgPhd06eK33zbXAx71CF6Z0uOHXzMUDbLEQJNufGe01vIC6tRrmfU6YgQq61JxsDpTXC+uWgVAfP1lpSqZ6jy5KBDZ2c3avX17sbTU5E5NBfr29dlENeBMV/kdNGiQ+cMA4LzzxP2Qv+P19nevJn/t2IEDq8QF3PD2e8QgpuQ0sEFEAWPQNdrszbbsdiup/Xfe2ey3l7NKhwxxjk0RhYNMBK2sS3W+aC8LoIOsvVaRnZwG5FS/NZiOuzKracUKAMDra0TZgqws4Ne/hvmzmC5OYZCZCaCpCV98l43vvxfbijJrcMcdYn3JkgDfyCnoqtZQdsqE6NevuYfrla4DO3eK9Ysv5nU6RYGsbWxYv76F7+dvRlKIGMlF7NNIUZOSIr6LjlQZ1zkhbkoasJ07fQ90KNmqS7cV4+OPgVVdTsNj347H04uPBQ4fRt+Unz1fp6bAE/mSl9es3dVqBD/80IwXehvY8DZYbu/jkpMTWP0mb++nnOMNdeaxnNHP1n9G7SdDRM3GoGu0OQWHVq0SNf/sgakAO5EcPSoyjT7+GPjHP8S2Zn53ELWIjF+u3NfO+aL900/9v8mtt3puk+dEr15m/djevT33CzQ7o75eZEy8847ZbMhWa/myc6vMa5WGBmZJUFgUFQEoLxcPjMG43C557uSFgMvQrV8vRtvUwKtam/LKK1t8rN40NprfOYCtMQtRpBgDYyGLr3jrdn7aaSH6AcI334ilU5lyokjJywOOVBrXOdHKdH3+eWumuZ1yHfaB9gssXgy89Z4yIL5yJY4/Zqv5ePp0UYPZHrAisjvzTOCXv2zRW3z0kXMZcEeHDzvX3fcWJLX1zmgx4xxvagJ+97R47z5FtobFM2cCJ58c2p9LlGAYdG2NjCkxHh/CAWbYvfSS6Dy4eLG5jZkTFEm9ewNITUVGcj2wbFlwb+KyfTytXAn89a9ivaDA3J6RIYpGqnzdKNTUiGzW114D/vQn4PXXgQ0bvKbkFVduNR/s2OFcLoEolPbsEUsjWNqjhxjI8DcxwqKyUgzq7d5trU1pP69C6I9/NPs8sNccRZtaYiCgc8dpAG/bNueb32HDRCOTEFG/skJ9T03UHK0i6OqPMRCybPQ1Xkckc9OUDPXRo4HLLuOgOfk3dGjQI19yZhLQjJJQs2dbR6slb0HXUBfIN64P1ctEd6keadgwnjtELcSga7TZa7wCIigEBDYF28FuW7PBSZPYxIQiS5Yvmr+9hd2d1ZoYa9ea6/a5O/aikfYbhfJyMQrx0kvAn/8sMlt37waGDxfV7++8EzjnHPfu6w4Um6994w3Rir2iwnwvojC4dJhRw7W+HhcOXuWeotCjh9i8YYOXFzr56Sfg66+BZ5+1bg9DE7gVK8TkjLo6cxtnolFUTJvmuPmxxwJ47axZntu++876hy2NHh2SC6vVq8VXyvz54nFKSljHRYj8EkFX448wGuUFXnjB/z4NDUBRETZVdbBuV87JzBQj1TCE5XOIfMnOFrF9QNxuBH36HDni8/ulqUnc0oTk9Dwkslpl0PWkHpsxrP1eHy8gomCwOGE4PfAA8PDDzX+dHB5TU1UDZC89dtVVrKlHkZeUBKCwEMXlDjW1muOaa4Cnn27+65qaREbq+vWifMCuXWJ7cTEwfjzQvz/QsaP1oiYlBUeOpiE3rdZdz9XtlVeAW24J/vcgCkD3/DKUTJlrbpgugkDHHiuaM2zZAowcGeCb1de7m8K5TZniWSu5hdPoAGDuXOvjBx/kQB9FiS1D6cwzxRgbICYPtWvXzPdbv965KGwIIqNvvimCrtnZonY4AEyc2OK3JWqR3Fygts6FoynJSPdWWiNc6uqArVvNx/X1ng0pysvFjMCsLMtYPACgTRtzuoWkFtskCrNuSq7Jww+L25gOHbzv72HVKuCtt3zusmSJKCHY0CBuaQKWkWEmdklGmcMFC8TDokzb80QUEhxPD6ekJPNK2p916zyzKQ4dAo45RtwoG40hqqvdg1IeKiqARx81H593HgOuFD19jmuDZFeQU9Nuv10sc3Odn7/qKt+vf/VVEaz98ktxQTF1KnDDDcCNNwInnihODCUq1NQELFmZir98Pw7/23KMe/vMfsrNdqRvPoiMgq4yOXX16ma8Vp0rJk2eLJZTp5rbnKZU+1FZKWqWVVUBpaWiJJl0++0MuFKEnXKK+FdS4tHBecgQc/2zz0L4M43u0Z98Aixf7n23igrgf/9zLt8vz+fKSrOaFIOuFG15eQA0DeW1aVj+7GL8+99eepPW1TlngbfExo3Wx07BJyMhpbGi2vO5pCT0LCjFWf3XmduYOk4Rdu655vozz1ivkQCI+3pvfDWQM8i4qdNlnk9jx3puM4rPLlsGwOVCejLvdYjCgZmu4ZaVJe5MVe3bi05X0iuviKmggwd7FsIbMUJsnzIFDQ2iBCUg7i3s/vlP64VRwI1XiMIgMxP4qTIbdY1JUCc0l5QAmDsF90+ch5Qkh6Bs375mNp63qdBO2x98EHjoIbFeXCzuXvv29dlFrqlJXDh9LcEAACAASURBVN/Mnw8cOig+DtWSCN3ylBIfch5PwKmGREFKSREXwkp6ROfOoqGzrvsJaspMBqeO6/KFvXsDX30l1gOoFX70qEgWl42x5swBtm/3rPJx991maRGiiBk3zutTmiYmKfz1r8DPLZx4YX/j6mpg0SLx0Fvz6FdfFZVsevUCunY1tzsGscABC4o+ecl05Gga3l3fD2gvkks9LqUeeUQklzzwQOh+uD2r1R6EBdxB1I839gb6ik333iteqn+xA0nf2YJWHTuG7viIAjBggCgLJb9znnjCdt/uK/va+JvXdUCHBpemiykaxshcQ4OoHBWosjLx41JTYb1AS04Wb1Zfbya/apr1vscp2EBEQeHwX7hdcIHnNntgVQZlDxwASkvR0OTC7goj6KTUIpL9tQDP+2ld9ywBayTHEkXF8rUiMLpwu/mHKMuiAsDv509CVV2K/WViPqg/ToEi9W71kkvEnGwvAdfGRjGq+9RTwLvviov18873vNt11wQDzFSkvn39Hx9RSzi0vR04UCwPHvRT2zUtTSydgq4QQaLDVcqghXEDu2OHuL7evt3zNY8+Crz8spj1+fjjzvv85jcMuFLrpDam8hbsbK7Dh81BcEB8n/zud+Ic2rVL/JzycrPGvjpRoqICntOiiVoJmel6qMYMDNln7Ls1NopUbdmpbv16MYrtK/3bMHeuOF8scR37Ceo0CuFy4ZH5E7F0jxlMTU0VX2VJg/pb950xQ9TuJ4qwiy6yPj50SGnjEkBt/TfWDsRvv5mMdQeKcaQuA499Ox4bDxXio4/MfY4eFafMhg2iDKyTv/5V9OoCYL13uukmsezb18zE3bzZPOXYDZUopJjpGm5ql3XJWwrq3r3Ak0/id/OmAABuHrMIhSkp2LzZ9mEN4PnnxWxpXRczqBcutL7V5MkBJTARhc2sM6vx36VAXroZ/PnPf6z7zN3aHdP72DIZAknRDjIdqKFB3AssWCAGKTp2FH1X+vQRb/mroSvw0oqh7v3TkpUq9W+/LZbs4EnhcvbZXmt5yXvav/1NLEeOBE4/3WFHef4Y887Ka9Pwf9+Nw0k9NiPpe+DTT4HP6jJxtysJn+8cgGkNGlJSxEwJAPjXv8QgxH33iXNC7cDrq78JZ3BSLFi71hzACMS3O7ogJ7UWg9tZo05PPGHd7/33zfXnnjMz06XyclGDb+1a81y2u/zywI+LKFyys8Xn+d5Ks1TH/v0+KtHILnV33w289pq53Vv6N8R9i6whCQQwg0PR2AjUNZrXYaecory2UydxHH/8o3g8aBDTxykqXC5Rbunxx8Xjp54Sy5tuAooGDxYZH3ZKuY61B9oAAF7Xzge+2g7UleO/q4YARebuixd7tn+59lqRGPvee+bYR2mpuCRMN6Zb/PabyRg5Og/TAWDDBtTLurBq9tbgwcH94kTkiGG5aLAHlWSTH1gHeY80ZCG/SWQY2R04IJZyNrWdvZk7UaR17SQClmsPtMEIY9u+fbC023QNGgDUOUwf82JbWR7qGpPQMycPtTXiVLJcT192mWOGX0ODyERasEDc/HbuLBIgeva0vr5HgVl46Zax3zsfBIOuFC62epQqe3njpUvFv+uvF9U03EFPNeiamor/myumXn+xZxDwqXiqKTUdfzh4HdA5H0t/D9xxh/W9ZQ+u5kxhI2rNpkwRmXVvvCGqdixbJkob+4vHfL5Z1NSQQdeGJhfe6nMvsMn369SAK+B8fw2IDHEOWFBr4nIBuTk6DlSZma7esugs5swJ6P113RpwBUSFtb594VlewMHunyoBiO/KM85wSGRVp1ywzhpFUU4OcMUV5qA2IIKv991nLbvmpg5aAOJkLC52nl7kxezZ4vvOnmy+Zg2Qn1+M0l0d0aRr+OEH4DRjsEPOnhrb2fji8lGyh4iCw6BrJEycCH3efLyxdiDWHmiD009PwciiIseOWA1N5tX3wfaD8OJvvb+tt2ly7dqxWSdFn5w9s6m0UAyzFhYCAFxaE5oAIC0NWr++gFJ+6x/7zsKw77x/3/97+XBxEfKwuFOeNAk44QRlB7VtKETwaOlSkQleUSFq6s2cKfrTOd5st2+P60f/gEPVGchP91Kh3su0baIW8xHQHzFCNO2x+/vfxdLdIVcpL1DfpLyfvSxGcbF7VSYqnXwy8PnnYt0ecL3xRlFqTDYjUkqM4dZbffxORK3ApEki6AoATz4plm3bWhtt2a3Y2869frA6E3lpR/H7pN/4Dbj6M326aETXpw8DrtQ65eXq2FZhjvTZW1M42rLF+vjwYcfZfrLkhurVV0WZgcqUAiTVJyMjxajH0eRZ93/u5yIb8LZx3yF3+BTnY7ngAueZhkQR5lTqr7oankFXXQe2bQMAPLpggtim1PVvDvldB4j7nSNHxEDjrl0ANvcDckST72+2dceU7lvx7UIRfR3RYY94kcN5R0Qtw6BrGO3ZI7Lq+k6dit//XhMB1cxMfPABMHj8YKR+O9fjNTvLzYucjw6Pd/hUNtmzXHv0EDVkeBFPrYGmAYUZNSityQCqq7Fihwi6Nq1ZjxRXI+qzs7F9j8hqaNI17CrPwb6yNHz2majB9/rr4n0uP5KHrnlHUDJ3itigBKbmzROzcYYOtV6b1NUBS5YA334rpnIec4yYud2tm5/MpmuvRduSErTN8nGHwcwJChcfH97+EoCeecaojSdHO/buxdr9ykkRQIb2uHHiHHnuOev2a68VMdriYlFbvL4euO46MeMiI8Nngi5Rq+B0ar39tphBaflO6NbNfeM7d2t39+bV+9uKx1PMXTUN+NWvxA3055+LYGpxsRnUdXLvvWJcZPTolvw2ROFln1nhLehaWZeK7NQ65yfnzBGjgTbe6sMuWgR88kkBsHACrhv1A9plV3kEf0pKABwW15K5+T5udlh7n1qRU04xB6yd1DUmwfW/ee6gzNEGY81eJ3DAANx1l7jH2bkTePNN7++pZoF/953y8ydOdO+z8VAhpnTf6q7vkZNqJJVkZQX6qxFRgBh0DaNnnhHLBx8EGsZOEPn7RjGxp97rgtvbeL7mxRVmDaShQ3QMHyvuARoaxEhVcbFnM8F77xWfy5rGgCu1Lpkp9SLo+vzz2D2mBADQFxswpN8+vLE2Cbv3JQEuYM6agVh/sBgYKC6mZcAVAP61fwZ+k/uKucHWZOj778U/QJTvWr3abMrZsydwzjkeCbAtw4sRChc1MDpqlNfdhg4V/eZ++AGWpgplZUC+cn68s1bceJ4/aDVeSz8OOTnWZnZ2miZK4knjxombBdXVV5vrbRy+w4hiyUMPie+IN94QAwh3T+zrDroePmpOU1YDsNKvfiUG9ADfdWJvvBF4+mng4ovNRHSi1qwW1j/UrVvN9epqYPe2eixYPgxby/Jx4eBV6F14CIdqMlGcWW3u6CVbrqxMfNf8v/8nMlw3GZnj6kyOfywZjZIpcy2v85jdl5PTvF+KKErGjRP/5P37UdtEukfmT0TbjRqu79do2X7XZQfwY8ox+KK8F7BhA7K6FiEzU8xmzc8X3zsvvOD+ykK3bmJWVI8e1tNjyBBRR7mxEZZRxk654oKwd9ejOFSdiYxSI8N8xAgQUWgxRBcm6sXB0aMQ2UeDB7ujosNO62TZf1tZHhbtNLcNaHMAZ56Xiu7dxedjSoo5G/SWW6w/Ky1N3Ksz4EqtiqahW54oyt6ka1i0SGw+o98GDGx7ABlpTcjL11Df6BIBVwAoKvJ8n44dsadCpNJ1zTuC30z+xmvDkdWrzbe54gpxkxvSgCvADnUUPmrQ1Ta4oJoxQyxHjxaDejK59a9/BdbsE+eS+zuoRw/0++2FePB3KbjtNuv7PPCAuX7aaeb6lVeKi/QTTwzy9yBqhdTsUrUJ3fz5YllTAxzoIQriy+8cby64wAy42qk1knNyzMHynj2DOGiiKPhpk0uMqqWnIy9PbJNfSf/6Ww3+c/cqbC3LBwDsOJKLh76ZgqcXH4v3NygZpl5qoG3ZIr6zkpKA88932MEe8Nm7F4B1yvSANgfYXZ1ijvzTnj3b3CZPk/0VYpDvcI2YTdezoBSZhekYPx4YPy0XE24djTvvsc5Y0jTRyuKee8R30mWXiUF5+3hEVpZz8vfiXSLuUPv5POQlVVpfQEQhxTBdmKjT1WQTTQC45BKxXLzSOkX538uH45NNZmvQs0+v8zoPOj/fXL/77hYfKlHYLNwhOmV+9JP5t52eLEZSawaOwpFyzZLdrY4cXH+9kT2kaZi/XUROR3TYA9egAejaVXQA9ea665zrKIUEg64ULmpmkEM5gNtvF1lzaqkBTQMmTDAfv7FRnE/ztolzZsaEMqCwEJom9lVmliEpCbjzTuCGG4BjjzW3d+4MnHUWe8ZRfJk2zVwfOdLMOjJiOgCAlWvEH/0zSx0yzSdORL9+4nW+Zi9nZ4sGWdOmATff3OLDJoq4K66A+3psStu1wNy5qHzmvwCAgx8vFrXTDPI6DwCW7emAyjpjFLCpCbouAkyrVolNui56AsnS+PbLqbw8YOqZorZBQ5MLy/Z0QMmj6WhoAL75RuxTkF6Dcweusd4MEcWA8eM9t32/s7NY0TTUNiThiUVjAQCbDxcCBw9C00S9fV+D4Onp/itqDB3qvH1XeQ72HExB+tdKqrm/DpNE1GwMuobRqadaHxcUmJkRvnrxXDNyCZLO+6XP977jDuCuu6xNOolamx4FhwEAS/d0dG9zacawrlEIcmfv40VqqhINKikRTU7WrAFQV+fOhB3abq+7S1xREXDffeKm1l5yI6wYiaJwUf+2evf2eFpmzdmpQVe5w9dbxZdNcY71y2bqVJHlJ7PxsrJYJoASQ1KSyAx/8EFzW+fO1n3mz/eSoNe1K5CUhDFjAvtZLhcwdmxAzdiJWp1OnSAa63Tah+zvvwQAVG42OifaTpAm3RqgeexbM7J09KgY1HjrLfG4tFQsZa1JALj0UnP9+uvN+5rq+hR35uzvfqfsM/oHscIBcIoxagbq7grx4LPNvdzbVu4zmzeO6bQT6NcvZD9bTV79zW/MPnPPLRuJ+qYkrDvIC0GicGLQNYzsNb7klFA7d8FsAJg4ER3+fJvfwl/Z2e7YE1Grdd7A1ZbH6uDp5VcYD3JygMGD0fWYJNx8s5gmI11yCSzZf5oGM2UCYopaoSgDixtvFMsWT4nuamRtyE4Ss2ZZ55HyQp/CpagIGDBAFJns3z/gl7lcYuChozG2UV1vRnq6d/IsUzByJJtfUWKSGd+SU+k6d+aR4YRjtri/F7yVFCCKJy4XUHLhT/hF95XISRONso7UpkNvEgHXY/IP48HJcy2v+c3kbzzep7LS+vjZZ8WylxlnQvfuYgD97rvFrY9stOWuo2zLuktJMq4JOQBOMSZVaY69/Uie9cnKSny0sY/74Sm9Noe0CLgczJg8WZzfYZsNSESOGHQNI3tJFFnP6+STxVIGWytqlU9hFmelOJKWbC0KP/00M0OiazfrhfTll4sAarpSeaNDB7iHhlNcxnt5OT9k3TxL1l8wzj9fFEe6+moRcO3d29pdiEFXCheXCzj3XN9deXwYMkQs91UqXz4jR4bgwIjiU48eYnnccea2zUZ3dAC4Y/y3mNRtGwraJOOssyJ8cETRdOgQ0Njo7mi+eFcnNKwXXa96Fh72mIHs0nQMay9qdTQ2aYCuY/168/mmJnOWX54t3pSaagaF5DToZXs6eBzShRe27Fciiib1nNHbtsPGQ4Ve93VpekgHFoqKRHLKlCnisVpqCgB+Peb7kP0sIvLE6F4YeSuJIi82dpWLYNIXP5vdFexNsohiVnq6x6aRI5wbK/h8CyPIesFgI2vWW2GiUMnMFMWRsrPNKd7qVG/WOqJWSt60yjrJ3fLK2C6dyIf8fFFu4KSTzG2bSs0b4exUkeX361+bgxpECcFoiZ6VKmZL6DpQXSrarqcmWQfUk10i+7Rr3hEAQEWd+N756itzn4MHjZVVq9D565e9/thOnWCNyirXXGqGLFEskglYnzWdhLUH/EzpD3E2d3GxeTq1aQPLvY3MaCei8GDQNYpeXjsSjU0afjokOrYPabePdeEpfsiCQQpt/bpmv82EyeKioyijWmw4cqRFhxWUbt1ExqBafIyolbHX+D534JroHAhRDJE3oaMcemf5foIoMfQpOoT6piR8Mk/UNTtQJZYyO+62cd8BAHJnngAAKK9NQ129dYB6nbz8O3QI2LwZqK62No9UuNq3da8PKtgFNDQAjY2cCEgx79xzjRVNQ02Dc9Hv7vllYiXMf/DdOpiBVjlwQkThwa+vMLvySrGUTUsAUbIPAIaNTsHD8ya7t3fKKQdRvJF/1z1yDgAVFZbn7rhD3PBee63310+dCtwzYQHy0o15aUb2RcSdfrooPkbUSrnrfBvZ4JkpnvVciciZu/6kUbj1zvELxeMWFwonim0F6TXYW5mNnd/uAADUN4nB8IKMoyiZMtf9XZPdW5QE2HI4H099am0G+fXXYjmm006x8qc/eVwTSk3tzearg/Z9BSxYIP4dOhSy34koGtyTjzTN3ST4mpFLcN/E+e59LhqyUqyEuZzZyePE+dc5V4k/yMAFEYUUixOGWefOnp3VNU2UqVxeMQDAUvf2pFnnR/TYiCLhF3034B9LRmPavheBpvGW57KzrZ2knWgakN6tHbBrl9jg1PmEiMyKHgUFwKRJ0B5oaYFjosTRuzdEDcquXYEtW8xBixTnbCSiRLG3UnRelAMTOam1Inoki7QacjqI/Srq0twlBvLzgbIyc5/xXXaYD7xk8nU/RsNWoy9Xv+KDuHXsd8hNqwX+u0JslMWYiWKVUjYjO7UOqUmNKJky17qP2nkrDNqXrcew9k04rst2cyNLUhGFBTNdo6SiAu4GQdLwSTnOOxPFsHbZVSiZMhdtMyu9TiXzS61rdMIJoTkwojhTXGyuXzDLxaZvRM3g7jmnaYDLJe6Jc3LYJZ0S3kk9f7Y8ntx9mwgIPfggMHq0e3tWlmh66q75qus4/3zrKSRrxALwWiP/oouAtllVuH70DwCAvPRasWtpqdiBdQYo1inXZ/YayW5h7iGRVFWOmf3Wo01WtbKR33dE4cBvrSgpKrI+vv/kH/g5R/Hvyy+De92llwIzZwL3389GVkQ+dOkilmw4QtQC48YB/fsDF18c7SMhig4lmNo2q8ryVLKrSWTEaZrZjGfmTABARkoDDlZnuvfVNKCx0fZayUvwNDkZuH70Dx4/101vXlNWotZk6FBY7mXSkr0EXaOBwQiisGDQNUquukosU5KacMvY7zl7jcgXlwsYNozTPIn8mDULuOYaXjcTtUhKCnDeeUDbtv73JYpHJ5/sXk1xOQSFDh4Uyz59xID4sGEAgNxBXd0NgqHraNMGyM0VDz2aBQebsRrmaddE4TRzptnfJT25wXmnPn0id0CqvLzo/FyiOMega5Skp4tar/e/Pwb56UejfThEkdWmTbSPgCgupacDHTpE+yiIYlu3btE+AqIoU6Y/+51gpAyIF+UrAVpdh8tl9ubp39/2Ol9vfNxxgR0nUYzRNOCsswAUFGBUx93OO512WvgPhIOKRBHDoGu0yc4nrFNJiWT69GgfARERkYWchdSuXXSPgyjqgizlVJCjZO4ZZQByc4EbbwROOsm2s69M1+7dvT8XbH8AolYiORl44NUBmDr0oPMOkSihcfrp4f8ZRAQAYJeNaEtKEimvRImEZQKIiKiV6dRJZOW1bx/tIyFqBc4/X4xANDXhmOXzsKWsAGf0Xe/zJTmZZqbrJRfWQ95qqo0e3YItL8CgK8WBpPQU4PbbnOMAkZjmbx9YkfWZiSjkmOlKROFTUOC8nVNaiIioFerc2TKzmihx9evnvo6b2W89xnXegaHt94nnpk51fElmhpmh13Xtp0BDA1BR4fz+voKuTpm2nTuL5YwZfg+dKGbIAq+SpgU/INFcanB31qzI/EyiBMSgKxGFzy9+4bydma5EREREMSEvvRan9NoMl2YEVT26YgkZ6WbQNWn1CuDtt4HHHwcaG4GdO607+yph4PTczp1AWhqb/VB8sY/yXX115H72ZZdF7mcRJTCO5RNR+LCFOhEREVF88ZIO3qVdHUZ33IV+xUatyrVrxfK114CcnMDf31sJgdraZhwkUQyYNk0MJLRpI/5FshtqkLWbiah5GHQlovCJ1PQYIiIiIgq9wkLPbV6Crkn9emN6ny88n9i4ERgxIvCfuWlT4PsSxbLMTK/lOsKusdH/PkTUYoyIEFH4ZGZG+wiIiIiIKFhO2XDeCh/7qtm/bFngP7Nnz8D3JaLgyOzzbt2iexxEcY6ZrkQUPk7ZEUREREQUu8Jdm59BV6LwS0kBSkqifRREcY+ZrkQUWd27R/sIiIiIiChY4Q66sicAERHFCQZdiSiy2HWWiIiIKHYVF0fn515ySXR+LhERUZAYdCWiyMrIiPYREBEREVGwWpqJes45oTkOIiKiVo5BVyKKrLS0aB8BEREREUVLaqr/fSZM8NzWqVPoj4WIiCiMGHQlosgaMybaR0BERERE0bJ5s/99xo3z3BZIsJaIiKgVYdCViCIrMzPaR0BERERE0dKnT7SPgIiIKCIYdCWi8CoqivYREBEREVFr0aOH/3103fr4yivDcyxERERhxKArEYVXu3bRPgIiIiIiCtbZZ0f+Z9qbdXXuHPljICIiaiEGXYkovFz8mCEiIiKKWV27mut33hmZn5mREZmfQ0REFEaMhhBReOXkmOu9e0fvOIiIiIio+fLyzHV/tflDmRU7cqRYXnNN6N6TiIgogpKjfQBEFOemTgV27gR27ADOOivaR0NEREREwdI038936BC6n3XaacDkyUBubujek4iIKIJaFHTVNG0agCcAJAF4Xtf1R0NyVEQUP5KTgSuuiPZREBEREVGwzjkHKCz0v5/aAGviRJEl++GH5rb27QP/mUlJDLgSEVFMC7q8gKZpSQD+BuBUAAMAXKBp2oBQHRgRERERERG1AgMHBpbFqpYiOOEEz8zYCy8M7XERERG1Yi2p6XosgE26rv+s63odgNcAnBGawyIiIiIiIqKYkpoK5OeLdU0D+vSxPq/W+iciIopzLSkv0AnADuXxTgBj7DtpmnY1gKsBoKva+ZKIiIiIiIjiyzXXAEePivWcHOCii4AvvgCuvNJ/TVgiIqI40pKgq9M3pu6xQdefBfAsAIwaNcrjeSIiIiIiIooTGRnin9Srl/hHRESUYFpSXmAngC7K484AdrfscIiIiIiIiIiIiIhiW0uCrj8A6K1p2jGapqUCOB/A+6E5LCIiIiIiIiIiIqLYFHR5AV3XGzRNuxHAZwCSAPxL1/U1ITsyIiIiIiIiIiIiohjUkpqu0HX9YwAfh+hYiIiIiIiIiIiIiGJeS8oLEBEREREREREREZENg65EREREREREREREIcSgKxEREREREREREVEIMehKREREREREREREFEIMuhIRERERERERERGFEIOuRERERERERERERCHEoCsRERERERERERFRCDHoSkRERERERERERBRCDLoSERERERERERERhZCm63rkfpimHQCwLWI/sHUoBnAw2gdBFIN47hAFh+cOUfB4/hAFh+cOUfB4/hAFp7WcO910XW/j9EREg66JSNO0Jbquj4r2cRDFGp47RMHhuUMUPJ4/RMHhuUMUPJ4/RMGJhXOH5QWIiIiIiIiIiIiIQohBVyIiIiIiIiIiIqIQYtA1/J6N9gEQxSieO0TB4blDFDyeP0TB4blDFDyeP0TBafXnDmu6EhEREREREREREYUQM12JiIiIiIiIiIiIQohB12bSNK2Lpmlfa5q2TtO0NZqm/drYXqhp2heapm00lgXG9n6apn2naVqtpml3KO+TrmnaYk3TVhjv81C0fieiSAjVuaO8X5KmaT9qmvZhpH8XokgK5bmjadpWTdNWaZq2XNO0JdH4fYgiKcTnT76maW9qmrbeeL9x0fidiCIlhPc9fY3vHfmvXNO0W6L1exGFW4i/e2413mO1pmmvapqWHo3fiSgSQnzu/No4b9ZE8zuH5QWaSdO0DgA66Lq+TNO0HABLAcwEcCmAUl3XH9U07R4ABbqu361pWlsA3Yx9Duu6/pjxPhqALF3XKzVNSwGwAMCvdV3/Pgq/FlHYhercUd7vNgCjAOTquj4jkr8LUSSF8tzRNG0rgFG6rh+M9O9BFA0hPn9eBDBf1/XnNU1LBZCp63pZpH8nokgJ9bWb8Z5JAHYBGKPr+rZI/S5EkRTCmEEniDjBAF3XazRNmwPgY13XX4j8b0UUfiE8dwYBeA3AsQDqAHwK4Dpd1zdG+ndipmsz6bq+R9f1ZcZ6BYB1ADoBOAPAi8ZuL0L8T4eu///27ifEqjKM4/j3QQscQwr7R5iYm6iVuojIGCIjskQoiAoCCaJNm4iIalfQIoho10Zp0z8sjVoqReEmKftDkW0qUNMcwTAsKK1fi3OkoYjUee+dw/X7gWHu3LlzeF6Y5z6c5573OZlJ8jFw4h/HSZLj/Y/n9V92wDWxWuUOQFUtA+4ANo8hdGletcwd6VzTKn+qagkwDWzpX/e7DVdNuhHVn3XAtzZcNcka585CYFFVLQSmgIMjDl+aNw1z5xrgoyS/JjkJfAjcOYYl/ItN1zmoqhXAamA3cFmSQ9D9owCXnsbfL6iqz4EZYGeS3aOLVhqOueYO8CLwOPDniEKUBqlB7gTYUVV7quqhUcUpDdEc82clcAR4ubrRNpuravEIw5UGpUH9OeVe4PXW8UlDNZfcSfID8DywDzgEHEuyY5TxSkMxx7rzFTBdVUuragq4HbhydNH+N5uuZ6mqLgC2AY8k+flsjpHkjySrgGXAdf0l0NJEm2vuVNUGYCbJnubBSQPWou4Aa5OsAdYDD1fVdLMApQFrkD8LgTXAS0lWA78ATzQMURqsRvWHXhS7aAAAAlFJREFUfizHRuDNVrFJQ9bgvOciuiv8rgKuABZX1f1to5SGZ665k2Qv8Bywk260wBfAyaZBniabrmehn8G6DXg1yfb+6cP9/IlTcyhmTvd4/fa0D4DbGocqDUqj3FkLbOxnU74B3FxVr4woZGkQWtWdJAf77zPA23RzjqSJ1ih/DgAHZu1KeouuCStNtMbnPeuBT5Mcbh+pNCyNcucW4PskR5KcALYDN4wqZmkIGp73bEmyJsk0cBQY+zxXsOl6xvobYG0B9iZ5Ydav3gU29Y83Ae/8z3EuqaoL+8eL6N5Qv2kfsTQMrXInyZNJliVZQbdF7f0kfuKridWw7izuB9LTb4u+lW7rjTSxGtaeH4H9VXV1/9Q64OvG4UqD0ip/ZrkPRwvoHNAwd/YB11fVVH/MdXQzLqWJ1LLu9DfZoqqWA3cxT/WnEu/ddCaq6kZgF/Alf8+TfIpuzsRWYDndm+PdSY5W1eXAJ8CS/vXHgWuBFXQDgBfQNb+3JnlmfCuRxqtV7szeXlBVNwGPJdkwrnVI49aw7lxMd3UrdFulX0vy7LjWIc2HlrWnqlbR3cDxfOA74IEkP41zPdI4Nc6fKWA/sDLJsfGuRBqvxrnzNHAP3dboz4AHk/w2zvVI49I4d3YBS+lusvVokvfGupieTVdJkiRJkiRJasjxApIkSZIkSZLUkE1XSZIkSZIkSWrIpqskSZIkSZIkNWTTVZIkSZIkSZIasukqSZIkSZIkSQ3ZdJUkSZIkSZKkhmy6SpIkSZIkSVJDNl0lSZIkSZIkqaG/AL2kM0Yb0f32AAAAAElFTkSuQmCC\n",
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