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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import xarray as xr\n",
"\n",
"import os\n",
"import time\n",
"\n",
"from pvlib.tools import cosd\n",
"\n",
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"FP = '/work/hyenergy/output/solar_potential/files_to_share/files_GE' # '/Users/alinawalch/Downloads/files_GE'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Load data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"PV_pot_GVA = pd.read_csv(os.path.join( FP, 'rooftop_PV_GE_annual_by_roof.csv' ))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DF_UID</th>\n",
" <th>pv_potential_kWh_a</th>\n",
" <th>pv_potential_kWh_a_std</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>radiation_kWh_m2_a_std</th>\n",
" <th>available_area</th>\n",
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" <td>6.140266</td>\n",
" </tr>\n",
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" <th>3</th>\n",
" <td>4817427</td>\n",
" <td>472.01505</td>\n",
" <td>292.359850</td>\n",
" <td>704.052711</td>\n",
" <td>150.158188</td>\n",
" <td>4.841171</td>\n",
" </tr>\n",
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" <td>4817428</td>\n",
" <td>4063.05980</td>\n",
" <td>1711.567742</td>\n",
" <td>810.469179</td>\n",
" <td>186.409277</td>\n",
" <td>36.256156</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DF_UID pv_potential_kWh_a pv_potential_kWh_a_std radiation_kWh_m2_a \\\n",
"0 4817410 4655.67240 1927.682388 915.779135 \n",
"1 4817425 1125.26500 576.977069 1297.643387 \n",
"2 4817426 1139.46020 672.605898 1361.228740 \n",
"3 4817427 472.01505 292.359850 704.052711 \n",
"4 4817428 4063.05980 1711.567742 810.469179 \n",
"\n",
" radiation_kWh_m2_a_std available_area \n",
"0 217.176670 37.002663 \n",
"1 315.597151 6.344036 \n",
"2 333.006956 6.140266 \n",
"3 150.158188 4.841171 \n",
"4 186.409277 36.256156 "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_pot_GVA.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"base_scenario = pd.read_csv(os.path.join( FP, 'rooftop_PV_GE_annual_by_building.csv' ))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>SB_UUID</th>\n",
" <th>GWR_EGID</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>EPV_kWh_a</th>\n",
" <th>EPV_kWh_a_std</th>\n",
" <th>APV</th>\n",
" <th>APV_std</th>\n",
" <th>Gt_kWh_m2_a</th>\n",
" <th>Gt_kWh_m2_a_std</th>\n",
" <th>APV_ratio</th>\n",
" <th>EPV_kWh_m2roof_a</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>{00028491-E241-4298-8E02-590C63ED72FB}</td>\n",
" <td>2039957.0</td>\n",
" <td>500221.073528</td>\n",
" <td>124705.812584</td>\n",
" <td>3115.3425</td>\n",
" <td>1543.925184</td>\n",
" <td>17.042566</td>\n",
" <td>7.059037</td>\n",
" <td>1351.981753</td>\n",
" <td>313.833444</td>\n",
" <td>0.394042</td>\n",
" <td>72.029927</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>{0002FDE4-6C3A-44CA-A364-29838A231B06}</td>\n",
" <td>1032264.0</td>\n",
" <td>501484.779862</td>\n",
" <td>113941.408173</td>\n",
" <td>4697.3200</td>\n",
" <td>2626.409248</td>\n",
" <td>34.883245</td>\n",
" <td>15.511518</td>\n",
" <td>995.227451</td>\n",
" <td>278.284350</td>\n",
" <td>0.311433</td>\n",
" <td>41.936988</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" SB_UUID GWR_EGID XCOORD \\\n",
"0 {00028491-E241-4298-8E02-590C63ED72FB} 2039957.0 500221.073528 \n",
"1 {0002FDE4-6C3A-44CA-A364-29838A231B06} 1032264.0 501484.779862 \n",
"\n",
" YCOORD EPV_kWh_a EPV_kWh_a_std APV APV_std Gt_kWh_m2_a \\\n",
"0 124705.812584 3115.3425 1543.925184 17.042566 7.059037 1351.981753 \n",
"1 113941.408173 4697.3200 2626.409248 34.883245 15.511518 995.227451 \n",
"\n",
" Gt_kWh_m2_a_std APV_ratio EPV_kWh_m2roof_a \n",
"0 313.833444 0.394042 72.029927 \n",
"1 278.284350 0.311433 41.936988 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"base_scenario.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"ROOF_INFO_GVA = pd.read_csv( os.path.join( FP, 'roof_info_GE.csv' ) )"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DF_UID</th>\n",
" <th>SB_UUID</th>\n",
" <th>GWR_EGID</th>\n",
" <th>FLAECHE</th>\n",
" <th>NEIGUNG</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>panel_tilt</th>\n",
" <th>panelled_area_ratio_ftr</th>\n",
" <th>prediction_panels</th>\n",
" <th>total_std_shade</th>\n",
" <th>predicted_area_ratio</th>\n",
" <th>available_area_std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>4817410</td>\n",
" <td>{C0837EBA-3FE8-4166-99E4-A009D794F3F7}</td>\n",
" <td>295070969.0</td>\n",
" <td>71.487047</td>\n",
" <td>10</td>\n",
" <td>503491.325015</td>\n",
" <td>134197.490397</td>\n",
" <td>127.0</td>\n",
" <td>10</td>\n",
" <td>0.805740</td>\n",
" <td>0.674559</td>\n",
" <td>0.191561</td>\n",
" <td>0.517614</td>\n",
" <td>12.014234</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4817425</td>\n",
" <td>{10B89BB0-60A3-4460-9D73-7C0036224AC5}</td>\n",
" <td>1004090.0</td>\n",
" <td>36.859836</td>\n",
" <td>37</td>\n",
" <td>503503.812619</td>\n",
" <td>134131.833522</td>\n",
" <td>33.0</td>\n",
" <td>37</td>\n",
" <td>0.390669</td>\n",
" <td>0.183354</td>\n",
" <td>0.110100</td>\n",
" <td>0.172112</td>\n",
" <td>2.758404</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>4817426</td>\n",
" <td>{10B89BB0-60A3-4460-9D73-7C0036224AC5}</td>\n",
" <td>1004090.0</td>\n",
" <td>51.333864</td>\n",
" <td>31</td>\n",
" <td>503509.783165</td>\n",
" <td>134135.282805</td>\n",
" <td>-57.0</td>\n",
" <td>31</td>\n",
" <td>0.155843</td>\n",
" <td>0.131094</td>\n",
" <td>0.067259</td>\n",
" <td>0.119614</td>\n",
" <td>3.141767</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4817427</td>\n",
" <td>{10B89BB0-60A3-4460-9D73-7C0036224AC5}</td>\n",
" <td>1004090.0</td>\n",
" <td>36.861447</td>\n",
" <td>37</td>\n",
" <td>503510.594159</td>\n",
" <td>134142.188986</td>\n",
" <td>-147.0</td>\n",
" <td>37</td>\n",
" <td>0.390652</td>\n",
" <td>0.204826</td>\n",
" <td>0.242573</td>\n",
" <td>0.131334</td>\n",
" <td>2.688357</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4817428</td>\n",
" <td>{10B89BB0-60A3-4460-9D73-7C0036224AC5}</td>\n",
" <td>1004090.0</td>\n",
" <td>81.256555</td>\n",
" <td>28</td>\n",
" <td>503504.226918</td>\n",
" <td>134138.960671</td>\n",
" <td>123.0</td>\n",
" <td>28</td>\n",
" <td>0.708866</td>\n",
" <td>0.533184</td>\n",
" <td>0.177867</td>\n",
" <td>0.446194</td>\n",
" <td>12.210219</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DF_UID SB_UUID GWR_EGID FLAECHE \\\n",
"0 4817410 {C0837EBA-3FE8-4166-99E4-A009D794F3F7} 295070969.0 71.487047 \n",
"1 4817425 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090.0 36.859836 \n",
"2 4817426 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090.0 51.333864 \n",
"3 4817427 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090.0 36.861447 \n",
"4 4817428 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090.0 81.256555 \n",
"\n",
" NEIGUNG XCOORD YCOORD AUSRICHTUNG panel_tilt \\\n",
"0 10 503491.325015 134197.490397 127.0 10 \n",
"1 37 503503.812619 134131.833522 33.0 37 \n",
"2 31 503509.783165 134135.282805 -57.0 31 \n",
"3 37 503510.594159 134142.188986 -147.0 37 \n",
"4 28 503504.226918 134138.960671 123.0 28 \n",
"\n",
" panelled_area_ratio_ftr prediction_panels total_std_shade \\\n",
"0 0.805740 0.674559 0.191561 \n",
"1 0.390669 0.183354 0.110100 \n",
"2 0.155843 0.131094 0.067259 \n",
"3 0.390652 0.204826 0.242573 \n",
"4 0.708866 0.533184 0.177867 \n",
"\n",
" predicted_area_ratio available_area_std \n",
"0 0.517614 12.014234 \n",
"1 0.172112 2.758404 \n",
"2 0.119614 3.141767 \n",
"3 0.131334 2.688357 \n",
"4 0.446194 12.210219 "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ROOF_INFO_GVA.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Load scenarios for flat roofs"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Shed at 10°"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# load data\n",
"shed_10deg_fp = '/scratch/walch/scenarios_GVA/PV_pot_GVA_flat_south_10deg.nc'\n",
"shed_10deg_xr = xr.open_dataset( shed_10deg_fp )\n",
"\n",
"irrad_shed_10deg_fp = '/scratch/walch/scenarios_GVA/tilted_irrad_GVA_flat_south_10deg.nc'\n",
"irrad_shed_10deg_xr = xr.open_dataset( irrad_shed_10deg_fp )"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"# create dataframes\n",
"irrad = irrad_shed_10deg_xr.yearly_kWh_m2.rename('radiation_kWh_m2_a').to_dataframe()\n",
"PV = shed_10deg_xr.yearly_PV_kWh.rename('pv_potential_kWh_a').to_dataframe()\n",
"areas = shed_10deg_xr[['available_area', 'panelled_area']].to_dataframe()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"# merge data and add efficiency\n",
"shed_10deg = pd.concat([irrad, PV, areas], axis = 1)\n",
"shed_10deg['efficiency'] = ( shed_10deg.pv_potential_kWh_a \n",
" /( shed_10deg.radiation_kWh_m2_a * shed_10deg.panelled_area ) ).fillna(0)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>pv_potential_kWh_a</th>\n",
" <th>available_area</th>\n",
" <th>panelled_area</th>\n",
" <th>efficiency</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DF_UID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
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" <tbody>\n",
" <tr>\n",
" <th>4817410</th>\n",
" <td>1078.637085</td>\n",
" <td>5438.612793</td>\n",
" <td>37.002663</td>\n",
" <td>37.002663</td>\n",
" <td>0.136264</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4817444</th>\n",
" <td>1003.167603</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4817449</th>\n",
" <td>874.839417</td>\n",
" <td>151.631134</td>\n",
" <td>1.268516</td>\n",
" <td>1.270257</td>\n",
" <td>0.136448</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4817454</th>\n",
" <td>960.581238</td>\n",
" <td>18747.400391</td>\n",
" <td>140.201116</td>\n",
" <td>142.363944</td>\n",
" <td>0.137090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4817455</th>\n",
" <td>1263.174927</td>\n",
" <td>29160.623047</td>\n",
" <td>166.817334</td>\n",
" <td>169.390760</td>\n",
" <td>0.136284</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" radiation_kWh_m2_a pv_potential_kWh_a available_area \\\n",
"DF_UID \n",
"4817410 1078.637085 5438.612793 37.002663 \n",
"4817444 1003.167603 0.000000 0.000000 \n",
"4817449 874.839417 151.631134 1.268516 \n",
"4817454 960.581238 18747.400391 140.201116 \n",
"4817455 1263.174927 29160.623047 166.817334 \n",
"\n",
" panelled_area efficiency \n",
"DF_UID \n",
"4817410 37.002663 0.136264 \n",
"4817444 0.000000 0.000000 \n",
"4817449 1.270257 0.136448 \n",
"4817454 142.363944 0.137090 \n",
"4817455 169.390760 0.136284 "
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"shed_10deg.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### E-W rows at 10°"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# load data\n",
"EW_10deg_fp = '/scratch/walch/scenarios_GVA/PV_pot_GVA_flat_EW_10deg.nc'\n",
"EW_10deg_xr = xr.open_dataset( EW_10deg_fp )\n",
"\n",
"irrad_EW_10deg_fp = '/scratch/walch/scenarios_GVA/tilted_irrad_GVA_flat_EW_10deg.nc'\n",
"irrad_EW_10deg_xr = xr.open_dataset( irrad_EW_10deg_fp )"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"# create dataframes\n",
"irrad = irrad_EW_10deg_xr.yearly_kWh_m2.rename('radiation_kWh_m2_a').to_dataframe()\n",
"PV = EW_10deg_xr.yearly_PV_kWh.rename('pv_potential_kWh_a').to_dataframe()\n",
"areas = EW_10deg_xr[['available_area', 'panelled_area']].to_dataframe()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"# merge data and add efficiency\n",
"EW_10deg = pd.concat([irrad, PV, areas], axis = 1)\n",
"EW_10deg['efficiency'] = ( EW_10deg.pv_potential_kWh_a \n",
" /( EW_10deg.radiation_kWh_m2_a * EW_10deg.panelled_area ) ).fillna(0)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>radiation_kWh_m2_a</th>\n",
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" <th>available_area</th>\n",
" <th>panelled_area</th>\n",
" <th>efficiency</th>\n",
" </tr>\n",
" <tr>\n",
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" <td>1.270257</td>\n",
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" <tr>\n",
" <th>4817454</th>\n",
" <td>869.143188</td>\n",
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],
"text/plain": [
" radiation_kWh_m2_a pv_potential_kWh_a available_area \\\n",
"DF_UID \n",
"4817410 979.374512 4953.986816 37.002663 \n",
"4817444 922.255371 0.000000 0.000000 \n",
"4817449 791.125916 137.479477 1.268516 \n",
"4817454 869.143188 16995.070312 140.201116 \n",
"4817455 1145.078491 26515.738281 166.817334 \n",
"\n",
" panelled_area efficiency \n",
"DF_UID \n",
"4817410 37.002663 0.136701 \n",
"4817444 0.000000 0.000000 \n",
"4817449 1.270257 0.136805 \n",
"4817454 142.363944 0.137351 \n",
"4817455 169.390760 0.136703 "
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"EW_10deg.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Merge PV pot with roof info and rename"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"PV_pot_GVA_info = PV_pot_GVA.merge( ROOF_INFO_GVA, on = 'DF_UID' ).set_index('DF_UID')"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"PV_pot_GVA_info['avail_area_ratio'] = PV_pot_GVA_info.available_area / PV_pot_GVA_info.FLAECHE"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"PV_pot_GVA_info['panelled_area'] = ( PV_pot_GVA_info.available_area \n",
" / cosd( PV_pot_GVA_info.panel_tilt - PV_pot_GVA_info.NEIGUNG ) )"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"PV_pot_GVA_info['efficiency'] = ( PV_pot_GVA_info.pv_potential_kWh_a \n",
" /( PV_pot_GVA_info.radiation_kWh_m2_a * PV_pot_GVA_info.panelled_area ) ).fillna(0)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
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" <th>pv_potential_kWh_a_std</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>radiation_kWh_m2_a_std</th>\n",
" <th>available_area</th>\n",
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" <th>...</th>\n",
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" <th>avail_area_ratio</th>\n",
" <th>panelled_area</th>\n",
" <th>efficiency</th>\n",
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" <tr>\n",
" <th>DF_UID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <td>10</td>\n",
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" <td>10</td>\n",
" <td>0.805740</td>\n",
" <td>0.674559</td>\n",
" <td>0.191561</td>\n",
" <td>0.517614</td>\n",
" <td>12.014234</td>\n",
" <td>0.517614</td>\n",
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" <td>1125.26500</td>\n",
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" <td>4.841171</td>\n",
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],
"text/plain": [
" pv_potential_kWh_a pv_potential_kWh_a_std radiation_kWh_m2_a \\\n",
"DF_UID \n",
"4817410 4655.67240 1927.682388 915.779135 \n",
"4817425 1125.26500 576.977069 1297.643387 \n",
"4817426 1139.46020 672.605898 1361.228740 \n",
"4817427 472.01505 292.359850 704.052711 \n",
"4817428 4063.05980 1711.567742 810.469179 \n",
"\n",
" radiation_kWh_m2_a_std available_area \\\n",
"DF_UID \n",
"4817410 217.176670 37.002663 \n",
"4817425 315.597151 6.344036 \n",
"4817426 333.006956 6.140266 \n",
"4817427 150.158188 4.841171 \n",
"4817428 186.409277 36.256156 \n",
"\n",
" SB_UUID GWR_EGID FLAECHE \\\n",
"DF_UID \n",
"4817410 {C0837EBA-3FE8-4166-99E4-A009D794F3F7} 295070969.0 71.487047 \n",
"4817425 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090.0 36.859836 \n",
"4817426 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090.0 51.333864 \n",
"4817427 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090.0 36.861447 \n",
"4817428 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090.0 81.256555 \n",
"\n",
" NEIGUNG XCOORD ... AUSRICHTUNG panel_tilt \\\n",
"DF_UID ... \n",
"4817410 10 503491.325015 ... 127.0 10 \n",
"4817425 37 503503.812619 ... 33.0 37 \n",
"4817426 31 503509.783165 ... -57.0 31 \n",
"4817427 37 503510.594159 ... -147.0 37 \n",
"4817428 28 503504.226918 ... 123.0 28 \n",
"\n",
" panelled_area_ratio_ftr prediction_panels total_std_shade \\\n",
"DF_UID \n",
"4817410 0.805740 0.674559 0.191561 \n",
"4817425 0.390669 0.183354 0.110100 \n",
"4817426 0.155843 0.131094 0.067259 \n",
"4817427 0.390652 0.204826 0.242573 \n",
"4817428 0.708866 0.533184 0.177867 \n",
"\n",
" predicted_area_ratio available_area_std avail_area_ratio \\\n",
"DF_UID \n",
"4817410 0.517614 12.014234 0.517614 \n",
"4817425 0.172112 2.758404 0.172112 \n",
"4817426 0.119614 3.141767 0.119614 \n",
"4817427 0.131334 2.688357 0.131334 \n",
"4817428 0.446194 12.210219 0.446194 \n",
"\n",
" panelled_area efficiency \n",
"DF_UID \n",
"4817410 37.002663 0.137391 \n",
"4817425 6.344036 0.136689 \n",
"4817426 6.140266 0.136327 \n",
"4817427 4.841171 0.138484 \n",
"4817428 36.256156 0.138272 \n",
"\n",
"[5 rows x 21 columns]"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"PV_pot_GVA_info.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Scenarios\n",
"\n",
"Create a 4-dimensional xarray with the following dimensions:\n",
"\n",
"1. **DF_UID**\n",
"2. **flat_scenario** (change available_area, panelled_area, tilted_radiation)\n",
" - shed_30deg (base)\n",
" - shed_10deg\n",
" - EW_10deg\n",
"3. **area_scenario** (change available_area, panelled_area)\n",
" - superstructures (base)\n",
" - no_superstructures \n",
"4. **suitability_scenario** (add \"suitable\" variable (boolean) )\n",
" - flat_south (base)\n",
" - radiation_1000\n",
" - all"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" after removing the cwd from sys.path.\n"
]
}
],
"source": [
"# Get the values for the baseline scenario (unchanged values)\n",
"ALL_COLS = ['available_area', 'panelled_area', 'radiation_kWh_m2_a', 'efficiency', 'pv_potential_kWh_a']\n",
"baseline = PV_pot_GVA_info[ ALL_COLS ]\n",
"baseline['flat'] = (PV_pot_GVA_info['NEIGUNG'] == 0).astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>available_area</th>\n",
" <th>panelled_area</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>efficiency</th>\n",
" <th>pv_potential_kWh_a</th>\n",
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" <th>count</th>\n",
" <td>219870.000000</td>\n",
" <td>219870.000000</td>\n",
" <td>219870.000000</td>\n",
" <td>219870.000000</td>\n",
" <td>2.198700e+05</td>\n",
" <td>219870.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>30.492188</td>\n",
" <td>31.730408</td>\n",
" <td>1025.150098</td>\n",
" <td>0.101144</td>\n",
" <td>4.691878e+03</td>\n",
" <td>0.141793</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>130.730090</td>\n",
" <td>140.614102</td>\n",
" <td>240.163235</td>\n",
" <td>0.057439</td>\n",
" <td>2.229614e+04</td>\n",
" <td>0.348838</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>156.974338</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000e+00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>0.050132</td>\n",
" <td>0.050222</td>\n",
" <td>844.769288</td>\n",
" <td>0.116288</td>\n",
" <td>5.860434e+00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>6.919749</td>\n",
" <td>7.062325</td>\n",
" <td>1039.516855</td>\n",
" <td>0.135485</td>\n",
" <td>9.188181e+02</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>27.914579</td>\n",
" <td>28.262113</td>\n",
" <td>1227.911056</td>\n",
" <td>0.136623</td>\n",
" <td>3.892487e+03</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>17661.571882</td>\n",
" <td>17661.571882</td>\n",
" <td>1543.545612</td>\n",
" <td>0.140136</td>\n",
" <td>2.800983e+06</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
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],
"text/plain": [
" available_area panelled_area radiation_kWh_m2_a efficiency \\\n",
"count 219870.000000 219870.000000 219870.000000 219870.000000 \n",
"mean 30.492188 31.730408 1025.150098 0.101144 \n",
"std 130.730090 140.614102 240.163235 0.057439 \n",
"min 0.000000 0.000000 156.974338 0.000000 \n",
"25% 0.050132 0.050222 844.769288 0.116288 \n",
"50% 6.919749 7.062325 1039.516855 0.135485 \n",
"75% 27.914579 28.262113 1227.911056 0.136623 \n",
"max 17661.571882 17661.571882 1543.545612 0.140136 \n",
"\n",
" pv_potential_kWh_a flat \n",
"count 2.198700e+05 219870.000000 \n",
"mean 4.691878e+03 0.141793 \n",
"std 2.229614e+04 0.348838 \n",
"min 0.000000e+00 0.000000 \n",
"25% 5.860434e+00 0.000000 \n",
"50% 9.188181e+02 0.000000 \n",
"75% 3.892487e+03 0.000000 \n",
"max 2.800983e+06 1.000000 "
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"baseline.describe()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"# Create xarray dataset and assign coordinates\n",
"scenarios = baseline.to_xarray()\n",
"\n",
"scenarios.coords['flat_scenario' ] = 'BASE_shed_30deg'\n",
"# scenarios.coords['area_scenario' ] = 'BASE_superstructures'\n",
"# scenarios.coords['suitability_scenario'] = 'BASE_flat_south'"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: ()\n",
"Coordinates:\n",
" flat_scenario <U15 'BASE_shed_30deg'\n",
"Data variables:\n",
" available_area float64 30.49\n",
" panelled_area float64 31.73\n",
" radiation_kWh_m2_a float64 1.025e+03\n",
" efficiency float64 0.1011\n",
" pv_potential_kWh_a float64 4.692e+03\n",
" flat float64 0.1418"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scenarios.mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Scenarios for flat roofs"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Shed at 10 degrees\n",
"- The available area on flat roofs is 70% of the available area (giving distance ratio of 0.43), as supposed to 50% assumed for the baseline scenario.\n",
"\n",
"- The tilted radiation and PV potential of flat roofs are re-computed for a panel tilt of 10 degrees facing south.\n",
"\n",
"- All roofs with a slope below 10° are considered as flat roofs "
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"roofs = baseline.copy()"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"# Define the flat roofs\n",
"all_flat_roofs = roofs.index.isin(shed_10deg.index)\n",
"zero_flat_roofs = roofs.index.isin(shed_10deg.index) & (PV_pot_GVA_info['NEIGUNG'] == 0)\n",
"nonzero_flat_roofs = roofs.index.isin(shed_10deg.index) & (PV_pot_GVA_info['NEIGUNG'] > 0)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"# Replace with simulation of radiation\n",
"roofs[ all_flat_roofs ] = shed_10deg[roofs.columns[:-1]]"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"# Define area for scenario:\n",
"AREA_PERC = 0.7\n",
"AREA_FIELDS = ['panelled_area', 'available_area']"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"# adjust the area on previously flat roofs: multiply area with 1.4 (70% instead of 50%)\n",
"roofs.loc[ zero_flat_roofs, AREA_FIELDS ] = roofs.loc[ zero_flat_roofs, AREA_FIELDS ] * (AREA_PERC / 0.5)\n",
" \n",
"# adjust the area on previously non-sheded roofs: multiply area with 0.7\n",
"roofs.loc[ nonzero_flat_roofs, AREA_FIELDS ] = roofs.loc[ nonzero_flat_roofs, AREA_FIELDS ] * AREA_PERC"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Assure that the available area is not larger than the total roof area\n",
"(roofs.loc[ zero_flat_roofs, 'available_area' ] > PV_pot_GVA_info.loc[ zero_flat_roofs, 'FLAECHE' ]).any()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"# Re-compute the PV potential\n",
"roofs['pv_potential_kWh_a'] = roofs.panelled_area * roofs.radiation_kWh_m2_a * roofs.efficiency"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"# Add flat roofs definition\n",
"roofs['flat'] = all_flat_roofs.astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>available_area</th>\n",
" <th>panelled_area</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>efficiency</th>\n",
" <th>pv_potential_kWh_a</th>\n",
" <th>flat</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>219870.000000</td>\n",
" <td>219870.000000</td>\n",
" <td>219870.000000</td>\n",
" <td>219870.000000</td>\n",
" <td>2.198700e+05</td>\n",
" <td>219870.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>32.225128</td>\n",
" <td>32.416138</td>\n",
" <td>1022.921460</td>\n",
" <td>0.103254</td>\n",
" <td>4.982953e+03</td>\n",
" <td>0.233138</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>145.393022</td>\n",
" <td>147.302506</td>\n",
" <td>238.136259</td>\n",
" <td>0.058324</td>\n",
" <td>2.529639e+04</td>\n",
" <td>0.422830</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>156.974338</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000e+00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>0.049825</td>\n",
" <td>0.049825</td>\n",
" <td>843.662739</td>\n",
" <td>0.133657</td>\n",
" <td>5.853358e+00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>7.086419</td>\n",
" <td>7.106670</td>\n",
" <td>1039.495942</td>\n",
" <td>0.135790</td>\n",
" <td>9.384604e+02</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>28.116103</td>\n",
" <td>28.167687</td>\n",
" <td>1226.411181</td>\n",
" <td>0.136588</td>\n",
" <td>3.927737e+03</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>14362.448506</td>\n",
" <td>14584.012425</td>\n",
" <td>1543.545612</td>\n",
" <td>0.140136</td>\n",
" <td>2.619069e+06</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" available_area panelled_area radiation_kWh_m2_a efficiency \\\n",
"count 219870.000000 219870.000000 219870.000000 219870.000000 \n",
"mean 32.225128 32.416138 1022.921460 0.103254 \n",
"std 145.393022 147.302506 238.136259 0.058324 \n",
"min 0.000000 0.000000 156.974338 0.000000 \n",
"25% 0.049825 0.049825 843.662739 0.133657 \n",
"50% 7.086419 7.106670 1039.495942 0.135790 \n",
"75% 28.116103 28.167687 1226.411181 0.136588 \n",
"max 14362.448506 14584.012425 1543.545612 0.140136 \n",
"\n",
" pv_potential_kWh_a flat \n",
"count 2.198700e+05 219870.000000 \n",
"mean 4.982953e+03 0.233138 \n",
"std 2.529639e+04 0.422830 \n",
"min 0.000000e+00 0.000000 \n",
"25% 5.853358e+00 0.000000 \n",
"50% 9.384604e+02 0.000000 \n",
"75% 3.927737e+03 0.000000 \n",
"max 2.619069e+06 1.000000 "
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roofs.describe()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"# Create xarray dataset and assign coordinates\n",
"new_scenario = roofs.to_xarray()\n",
"\n",
"new_scenario.coords['flat_scenario' ] = 'shed_10deg'\n",
"# scenarios.coords['area_scenario' ] = 'BASE_superstructures'\n",
"# scenarios.coords['suitability_scenario'] = 'BASE_flat_south'"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"scenarios = xr.concat([scenarios, new_scenario], dim = 'flat_scenario')"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 219870, flat_scenario: 2)\n",
"Coordinates:\n",
" * DF_UID (DF_UID) int64 4817410 4817425 ... 5124528 5124529\n",
" * flat_scenario (flat_scenario) <U15 'BASE_shed_30deg' 'shed_10deg'\n",
"Data variables:\n",
" available_area (flat_scenario, DF_UID) float64 37.0 6.344 ... 47.76\n",
" panelled_area (flat_scenario, DF_UID) float64 37.0 6.344 ... 47.95\n",
" radiation_kWh_m2_a (flat_scenario, DF_UID) float64 915.8 ... 1.258e+03\n",
" efficiency (flat_scenario, DF_UID) float64 0.1374 0.1367 ... 0.1362\n",
" pv_potential_kWh_a (flat_scenario, DF_UID) float64 4.656e+03 ... 8.216e+03\n",
" flat (flat_scenario, DF_UID) int64 0 0 0 0 0 0 ... 0 0 0 0 1"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scenarios"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Check for correctness"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"test = (PV_pot_GVA_info.loc[roofs['pv_potential_kWh_a'].astype(int) != baseline['pv_potential_kWh_a'].astype(int), \n",
" ['available_area', 'panelled_area', 'radiation_kWh_m2_a', 'efficiency',\n",
" 'pv_potential_kWh_a', 'NEIGUNG']]\n",
" .sort_values('NEIGUNG', ascending = True) )"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>available_area</th>\n",
" <th>panelled_area</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>efficiency</th>\n",
" <th>pv_potential_kWh_a</th>\n",
" <th>NEIGUNG</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DF_UID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5031138</th>\n",
" <td>3.374010</td>\n",
" <td>3.895971</td>\n",
" <td>1277.050375</td>\n",
" <td>0.117594</td>\n",
" <td>585.06990</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5030485</th>\n",
" <td>1.156299</td>\n",
" <td>1.335180</td>\n",
" <td>900.207979</td>\n",
" <td>0.116848</td>\n",
" <td>140.44420</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5030478</th>\n",
" <td>0.271650</td>\n",
" <td>0.313675</td>\n",
" <td>1017.614615</td>\n",
" <td>0.118596</td>\n",
" <td>37.85574</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5030466</th>\n",
" <td>2.523879</td>\n",
" <td>2.914325</td>\n",
" <td>1039.739800</td>\n",
" <td>0.117470</td>\n",
" <td>355.95050</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5090037</th>\n",
" <td>7.465318</td>\n",
" <td>8.620207</td>\n",
" <td>1112.502999</td>\n",
" <td>0.117405</td>\n",
" <td>1125.91150</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" available_area panelled_area radiation_kWh_m2_a efficiency \\\n",
"DF_UID \n",
"5031138 3.374010 3.895971 1277.050375 0.117594 \n",
"5030485 1.156299 1.335180 900.207979 0.116848 \n",
"5030478 0.271650 0.313675 1017.614615 0.118596 \n",
"5030466 2.523879 2.914325 1039.739800 0.117470 \n",
"5090037 7.465318 8.620207 1112.502999 0.117405 \n",
"\n",
" pv_potential_kWh_a NEIGUNG \n",
"DF_UID \n",
"5031138 585.06990 0 \n",
"5030485 140.44420 0 \n",
"5030478 37.85574 0 \n",
"5030466 355.95050 0 \n",
"5090037 1125.91150 0 "
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test.head()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>available_area</th>\n",
" <th>panelled_area</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>efficiency</th>\n",
" <th>pv_potential_kWh_a</th>\n",
" <th>flat</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DF_UID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5031138</th>\n",
" <td>4.723614</td>\n",
" <td>4.796483</td>\n",
" <td>1196.928833</td>\n",
" <td>0.136190</td>\n",
" <td>781.874622</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5030485</th>\n",
" <td>1.618819</td>\n",
" <td>1.643792</td>\n",
" <td>857.660278</td>\n",
" <td>0.135077</td>\n",
" <td>190.434137</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5030478</th>\n",
" <td>0.380311</td>\n",
" <td>0.386177</td>\n",
" <td>952.428040</td>\n",
" <td>0.137232</td>\n",
" <td>50.474918</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5030466</th>\n",
" <td>3.533431</td>\n",
" <td>3.587940</td>\n",
" <td>984.378540</td>\n",
" <td>0.135846</td>\n",
" <td>479.794202</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5090037</th>\n",
" <td>10.451446</td>\n",
" <td>10.612676</td>\n",
" <td>1041.332642</td>\n",
" <td>0.135904</td>\n",
" <td>1501.921265</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" available_area panelled_area radiation_kWh_m2_a efficiency \\\n",
"DF_UID \n",
"5031138 4.723614 4.796483 1196.928833 0.136190 \n",
"5030485 1.618819 1.643792 857.660278 0.135077 \n",
"5030478 0.380311 0.386177 952.428040 0.137232 \n",
"5030466 3.533431 3.587940 984.378540 0.135846 \n",
"5090037 10.451446 10.612676 1041.332642 0.135904 \n",
"\n",
" pv_potential_kWh_a flat \n",
"DF_UID \n",
"5031138 781.874622 1 \n",
"5030485 190.434137 1 \n",
"5030478 50.474918 1 \n",
"5030466 479.794202 1 \n",
"5090037 1501.921265 1 "
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roofs.loc[test.index].head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### East-west-columns at 10°\n",
"- The available area on flat roofs is 100% of the available area (giving distance ratio of 0.0), as supposed to 50% assumed for the baseline scenario. (NOTE: a DR of 0.5 is used for the simulation of the radiation, this is negligibly conservative)\n",
"\n",
"- The tilted radiation and PV potential of flat roofs are re-computed for a panel tilt of 10 degrees facing east and west (averaged between east and west).\n",
"\n",
"- All roofs with a slope below 10° are considered as flat roofs \n",
"\n",
"- It is assumed that the same area would be available to install east-west facing panels as south-facing panels."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"roofs = baseline.copy()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"# Define the flat roofs\n",
"all_flat_roofs = roofs.index.isin(EW_10deg.index)\n",
"zero_flat_roofs = roofs.index.isin(EW_10deg.index) & (PV_pot_GVA_info['NEIGUNG'] == 0)\n",
"nonzero_flat_roofs = roofs.index.isin(EW_10deg.index) & (PV_pot_GVA_info['NEIGUNG'] > 0)"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"# Replace with simulation of radiation\n",
"roofs[ all_flat_roofs ] = EW_10deg[roofs.columns[:-1]]"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"# Define area for scenario:\n",
"AREA_PERC = 1.0\n",
"AREA_FIELDS = ['panelled_area', 'available_area']"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"# adjust the area on previously flat roofs: multiply area with 1.4 (70% instead of 50%)\n",
"roofs.loc[ zero_flat_roofs, AREA_FIELDS ] = roofs.loc[ zero_flat_roofs, AREA_FIELDS ] * (AREA_PERC / 0.5)\n",
" \n",
"# adjust the area on previously non-sheded roofs: multiply area with 0.7\n",
"roofs.loc[ nonzero_flat_roofs, AREA_FIELDS ] = roofs.loc[ nonzero_flat_roofs, AREA_FIELDS ] * AREA_PERC"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Assure that the available area is not larger than the total roof area\n",
"(roofs.loc[ zero_flat_roofs, 'available_area' ] > PV_pot_GVA_info.loc[ zero_flat_roofs, 'FLAECHE' ]).any()"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"# Re-compute the PV potential\n",
"roofs['pv_potential_kWh_a'] = roofs.panelled_area * roofs.radiation_kWh_m2_a * roofs.efficiency"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"# Add flat roofs definition\n",
"roofs['flat'] = all_flat_roofs.astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>available_area</th>\n",
" <th>panelled_area</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>efficiency</th>\n",
" <th>pv_potential_kWh_a</th>\n",
" <th>flat</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>219870.000000</td>\n",
" <td>219870.000000</td>\n",
" <td>219870.000000</td>\n",
" <td>219870.000000</td>\n",
" <td>2.198700e+05</td>\n",
" <td>219870.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>38.496169</td>\n",
" <td>38.769040</td>\n",
" <td>999.511883</td>\n",
" <td>0.103323</td>\n",
" <td>5.717641e+03</td>\n",
" <td>0.233138</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>203.394458</td>\n",
" <td>206.189300</td>\n",
" <td>231.367151</td>\n",
" <td>0.058363</td>\n",
" <td>3.253855e+04</td>\n",
" <td>0.422830</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>156.974338</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000e+00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>0.050444</td>\n",
" <td>0.050444</td>\n",
" <td>828.403555</td>\n",
" <td>0.133659</td>\n",
" <td>5.927912e+00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>7.646831</td>\n",
" <td>7.662177</td>\n",
" <td>1007.633602</td>\n",
" <td>0.135990</td>\n",
" <td>9.923801e+02</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>29.642084</td>\n",
" <td>29.685997</td>\n",
" <td>1186.757973</td>\n",
" <td>0.136675</td>\n",
" <td>4.084535e+03</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>20517.783581</td>\n",
" <td>20834.303465</td>\n",
" <td>1543.545612</td>\n",
" <td>0.140136</td>\n",
" <td>3.415735e+06</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" available_area panelled_area radiation_kWh_m2_a efficiency \\\n",
"count 219870.000000 219870.000000 219870.000000 219870.000000 \n",
"mean 38.496169 38.769040 999.511883 0.103323 \n",
"std 203.394458 206.189300 231.367151 0.058363 \n",
"min 0.000000 0.000000 156.974338 0.000000 \n",
"25% 0.050444 0.050444 828.403555 0.133659 \n",
"50% 7.646831 7.662177 1007.633602 0.135990 \n",
"75% 29.642084 29.685997 1186.757973 0.136675 \n",
"max 20517.783581 20834.303465 1543.545612 0.140136 \n",
"\n",
" pv_potential_kWh_a flat \n",
"count 2.198700e+05 219870.000000 \n",
"mean 5.717641e+03 0.233138 \n",
"std 3.253855e+04 0.422830 \n",
"min 0.000000e+00 0.000000 \n",
"25% 5.927912e+00 0.000000 \n",
"50% 9.923801e+02 0.000000 \n",
"75% 4.084535e+03 0.000000 \n",
"max 3.415735e+06 1.000000 "
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roofs.describe()"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
"# Create xarray dataset and assign coordinates\n",
"new_scenario = roofs.to_xarray()\n",
"\n",
"new_scenario.coords['flat_scenario' ] = 'EW_10deg'\n",
"# scenarios.coords['area_scenario' ] = 'BASE_superstructures'\n",
"# scenarios.coords['suitability_scenario'] = 'BASE_flat_south'"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"scenarios = xr.concat([scenarios, new_scenario], dim = 'flat_scenario')"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 219870, flat_scenario: 3)\n",
"Coordinates:\n",
" * DF_UID (DF_UID) int64 4817410 4817425 ... 5124528 5124529\n",
" * flat_scenario (flat_scenario) <U15 'BASE_shed_30deg' ... 'EW_10deg'\n",
"Data variables:\n",
" available_area (flat_scenario, DF_UID) float64 37.0 6.344 ... 68.23\n",
" panelled_area (flat_scenario, DF_UID) float64 37.0 6.344 ... 68.49\n",
" radiation_kWh_m2_a (flat_scenario, DF_UID) float64 915.8 ... 1.142e+03\n",
" efficiency (flat_scenario, DF_UID) float64 0.1374 0.1367 ... 0.1367\n",
" pv_potential_kWh_a (flat_scenario, DF_UID) float64 4.656e+03 ... 1.07e+04\n",
" flat (flat_scenario, DF_UID) int64 0 0 0 0 0 0 ... 0 0 0 0 1"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scenarios"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Check for correctness"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [],
"source": [
"test = (PV_pot_GVA_info.loc[roofs['pv_potential_kWh_a'].astype(int) != baseline['pv_potential_kWh_a'].astype(int), \n",
" ['available_area', 'panelled_area', 'radiation_kWh_m2_a', 'efficiency',\n",
" 'pv_potential_kWh_a', 'NEIGUNG']]\n",
" .sort_values('NEIGUNG', ascending = True) )"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>available_area</th>\n",
" <th>panelled_area</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>efficiency</th>\n",
" <th>pv_potential_kWh_a</th>\n",
" <th>NEIGUNG</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DF_UID</th>\n",
" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5031184</th>\n",
" <td>179.929048</td>\n",
" <td>207.764169</td>\n",
" <td>1399.272891</td>\n",
" <td>0.117041</td>\n",
" <td>34025.883000</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5031181</th>\n",
" <td>160.541733</td>\n",
" <td>185.377626</td>\n",
" <td>1410.063476</td>\n",
" <td>0.116996</td>\n",
" <td>30582.120000</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5090112</th>\n",
" <td>0.302186</td>\n",
" <td>0.348935</td>\n",
" <td>969.604326</td>\n",
" <td>0.118649</td>\n",
" <td>40.142326</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5090114</th>\n",
" <td>9.415591</td>\n",
" <td>10.872188</td>\n",
" <td>936.299866</td>\n",
" <td>0.118131</td>\n",
" <td>1202.532500</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5090119</th>\n",
" <td>1.097560</td>\n",
" <td>1.267353</td>\n",
" <td>1252.132245</td>\n",
" <td>0.117277</td>\n",
" <td>186.106120</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" available_area panelled_area radiation_kWh_m2_a efficiency \\\n",
"DF_UID \n",
"5031184 179.929048 207.764169 1399.272891 0.117041 \n",
"5031181 160.541733 185.377626 1410.063476 0.116996 \n",
"5090112 0.302186 0.348935 969.604326 0.118649 \n",
"5090114 9.415591 10.872188 936.299866 0.118131 \n",
"5090119 1.097560 1.267353 1252.132245 0.117277 \n",
"\n",
" pv_potential_kWh_a NEIGUNG \n",
"DF_UID \n",
"5031184 34025.883000 0 \n",
"5031181 30582.120000 0 \n",
"5090112 40.142326 0 \n",
"5090114 1202.532500 0 \n",
"5090119 186.106120 0 "
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test.head()"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>available_area</th>\n",
" <th>panelled_area</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>efficiency</th>\n",
" <th>pv_potential_kWh_a</th>\n",
" <th>flat</th>\n",
" </tr>\n",
" <tr>\n",
" <th>DF_UID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5031184</th>\n",
" <td>359.858096</td>\n",
" <td>365.409487</td>\n",
" <td>1205.183105</td>\n",
" <td>0.136002</td>\n",
" <td>59893.484375</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5031181</th>\n",
" <td>321.083467</td>\n",
" <td>326.036697</td>\n",
" <td>1215.573730</td>\n",
" <td>0.135964</td>\n",
" <td>53885.621094</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5090112</th>\n",
" <td>0.604372</td>\n",
" <td>0.613696</td>\n",
" <td>817.321533</td>\n",
" <td>0.137322</td>\n",
" <td>68.879044</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5090114</th>\n",
" <td>18.831181</td>\n",
" <td>19.121683</td>\n",
" <td>803.451782</td>\n",
" <td>0.136782</td>\n",
" <td>2101.435059</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5090119</th>\n",
" <td>2.195120</td>\n",
" <td>2.228983</td>\n",
" <td>1083.637939</td>\n",
" <td>0.136210</td>\n",
" <td>329.002960</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" available_area panelled_area radiation_kWh_m2_a efficiency \\\n",
"DF_UID \n",
"5031184 359.858096 365.409487 1205.183105 0.136002 \n",
"5031181 321.083467 326.036697 1215.573730 0.135964 \n",
"5090112 0.604372 0.613696 817.321533 0.137322 \n",
"5090114 18.831181 19.121683 803.451782 0.136782 \n",
"5090119 2.195120 2.228983 1083.637939 0.136210 \n",
"\n",
" pv_potential_kWh_a flat \n",
"DF_UID \n",
"5031184 59893.484375 1 \n",
"5031181 53885.621094 1 \n",
"5090112 68.879044 1 \n",
"5090114 2101.435059 1 \n",
"5090119 329.002960 1 "
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roofs.loc[test.index].head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Scenarios for available area"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
"scenarios.coords['area_scenario'] = 'BASE_superstructures'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Scenario for no superstructures considered (panel fitting only)"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
"no_SP_scenario = scenarios.copy()\n",
"no_SP_scenario.coords['area_scenario'] = 'no_superstructures'"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 219870, flat_scenario: 3)\n",
"Coordinates:\n",
" * DF_UID (DF_UID) int64 4817410 4817425 ... 5124528 5124529\n",
" * flat_scenario (flat_scenario) <U15 'BASE_shed_30deg' ... 'EW_10deg'\n",
" area_scenario <U18 'no_superstructures'\n",
"Data variables:\n",
" available_area (flat_scenario, DF_UID) float64 37.0 6.344 ... 68.23\n",
" panelled_area (flat_scenario, DF_UID) float64 37.0 6.344 ... 68.49\n",
" radiation_kWh_m2_a (flat_scenario, DF_UID) float64 915.8 ... 1.142e+03\n",
" efficiency (flat_scenario, DF_UID) float64 0.1374 0.1367 ... 0.1367\n",
" pv_potential_kWh_a (flat_scenario, DF_UID) float64 4.656e+03 ... 1.07e+04\n",
" flat (flat_scenario, DF_UID) int64 0 0 0 0 0 0 ... 0 0 0 0 1"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"no_SP_scenario"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [],
"source": [
"# Get the factor of increase of available area when not considering superstructures\n",
"area_change_factor = (PV_pot_GVA_info.panelled_area_ratio_ftr / PV_pot_GVA_info.prediction_panels).fillna(0)\n",
"\n",
"# set all values less than 1 to 1 (it does not make sense to have less available area of not considering SP)\n",
"area_change_factor[area_change_factor < 1] = 1"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
"area_change_factor_da = area_change_factor.to_xarray()"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [],
"source": [
"AREA_FIELDS = ['panelled_area', 'available_area']\n",
"\n",
"for AREA_FIELD in AREA_FIELDS:\n",
" no_SP_scenario[AREA_FIELD] = no_SP_scenario[AREA_FIELD] * area_change_factor_da"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [],
"source": [
"# Re-compute the PV potential\n",
"no_SP_scenario['pv_potential_kWh_a'] = ( no_SP_scenario.panelled_area \n",
" * no_SP_scenario.radiation_kWh_m2_a \n",
" * no_SP_scenario.efficiency )"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
"scenarios = xr.concat([scenarios, no_SP_scenario], dim = 'area_scenario')"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 219870, area_scenario: 2, flat_scenario: 3)\n",
"Coordinates:\n",
" * DF_UID (DF_UID) int64 4817410 4817425 ... 5124528 5124529\n",
" * flat_scenario (flat_scenario) <U15 'BASE_shed_30deg' ... 'EW_10deg'\n",
" * area_scenario (area_scenario) <U20 'BASE_superstructures' 'no_superstructures'\n",
"Data variables:\n",
" available_area (area_scenario, flat_scenario, DF_UID) float64 37.0 ... 87.33\n",
" panelled_area (area_scenario, flat_scenario, DF_UID) float64 37.0 ... 87.66\n",
" radiation_kWh_m2_a (area_scenario, flat_scenario, DF_UID) float64 915.8 ... 1.142e+03\n",
" efficiency (area_scenario, flat_scenario, DF_UID) float64 0.1374 ... 0.1367\n",
" pv_potential_kWh_a (area_scenario, flat_scenario, DF_UID) float64 4.656e+03 ... 1.369e+04\n",
" flat (area_scenario, flat_scenario, DF_UID) int64 0 0 ... 0 1"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scenarios"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Verify available area validity"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"roof_area = PV_pot_GVA_info.FLAECHE.to_xarray()"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.DataArray ()>\n",
"array(False)\n",
"Coordinates:\n",
" area_scenario <U18 'no_superstructures'"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(no_SP_scenario.available_area > roof_area).any()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Scenarios for suitable roof areas\n",
"- All roofs with an available area below 8m2 are considered unsuitable in all scenarios"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [],
"source": [
"MIN_AREA = 8"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Baseline: south-facing roofs\n",
"- All roofs with an aspect below 90° (south-facing between east and west) and flat roofs (according to the flat_scenario) are suitable"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
"ASPECT_MAX = 90"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
"# select suitable roofs\n",
"suitable_aspect = (abs(PV_pot_GVA_info.AUSRICHTUNG) <= 90).to_xarray()\n",
"suitable_area = scenarios.available_area >= MIN_AREA\n",
"suitable_flat = scenarios.flat.astype(bool)\n",
"\n",
"suitable_base = suitable_area & ( suitable_aspect | suitable_flat )"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [],
"source": [
"suitable_base.coords['suitability_scenario'] = 'BASE_flat_south'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Roofs with tilted radiation above 1000 kWh/year\n",
"- All roofs with a mean annual radiation above 1000 kWh/year"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
"IRRAD_MAX = 1000"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [],
"source": [
"# select suitable roofs\n",
"suitable_irrad = (scenarios.radiation_kWh_m2_a >= IRRAD_MAX) & suitable_area"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [],
"source": [
"suitable_irrad.coords['suitability_scenario'] = 'radiation_1000'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## All roofs\n",
"- All roofs with an available area above 8m2"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [],
"source": [
"# select suitable roofs\n",
"suitable_all = suitable_area\n",
"suitable_all.coords['suitability_scenario'] = 'all'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Add all to scenarios"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [],
"source": [
"suitable = xr.concat([suitable_base, suitable_irrad, suitable_all], dim = 'suitability_scenario')"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [],
"source": [
"# Add baseline to scenarios\n",
"scenarios['suitable'] = suitable"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Post-process and save"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [],
"source": [
"scenarios_w_info = xr.merge([scenarios, PV_pot_GVA_info[['SB_UUID', 'GWR_EGID', 'XCOORD', 'YCOORD']].to_xarray()])"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 219870, area_scenario: 2, flat_scenario: 3, suitability_scenario: 3)\n",
"Coordinates:\n",
" * DF_UID (DF_UID) int64 4817410 4817425 ... 5124528 5124529\n",
" * flat_scenario (flat_scenario) <U15 'BASE_shed_30deg' ... 'EW_10deg'\n",
" * area_scenario (area_scenario) <U20 'BASE_superstructures' 'no_superstructures'\n",
" * suitability_scenario (suitability_scenario) <U15 'BASE_flat_south' ... 'all'\n",
"Data variables:\n",
" available_area (area_scenario, flat_scenario, DF_UID) float64 37.0 ... 87.33\n",
" panelled_area (area_scenario, flat_scenario, DF_UID) float64 37.0 ... 87.66\n",
" radiation_kWh_m2_a (area_scenario, flat_scenario, DF_UID) float64 915.8 ... 1.142e+03\n",
" efficiency (area_scenario, flat_scenario, DF_UID) float64 0.1374 ... 0.1367\n",
" pv_potential_kWh_a (area_scenario, flat_scenario, DF_UID) float64 4.656e+03 ... 1.369e+04\n",
" flat (area_scenario, flat_scenario, DF_UID) int64 0 0 ... 1\n",
" suitable (suitability_scenario, area_scenario, flat_scenario, DF_UID) bool False ... True\n",
" SB_UUID (DF_UID) object '{C0837EBA-3FE8-4166-99E4-A009D794F3F7}' ... '{82342C28-6606-40BE-95E9-E29E90B400AA}'\n",
" GWR_EGID (DF_UID) float64 2.951e+08 1.004e+06 ... nan nan\n",
" XCOORD (DF_UID) float64 5.035e+05 5.035e+05 ... 5.129e+05\n",
" YCOORD (DF_UID) float64 1.342e+05 1.341e+05 ... 1.219e+05"
]
},
"execution_count": 78,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scenarios_w_info"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [],
"source": [
"scenarios_w_info.to_netcdf(os.path.join(FP, 'SCENARIOS.nc'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Preprocessing"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"ROOF_FP = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Results/PV_w_uncertainty'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Extract roof data for GVA"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"SON_FP = '/Volumes/Seagate Backup Plus Drive/DOKUMENTE/EPFL/data/Sonnendach/SOLKAT_CH_DACH_LV03.txt'\n",
"SON_BASE_INFO = pd.read_csv(SON_FP, usecols = ['DF_UID', 'SB_UUID', 'GWR_EGID'])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"SON_BASE_INFO_GVA = SON_BASE_INFO[SON_BASE_INFO.DF_UID.isin(PV_pot_GVA.DF_UID)]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"ROOF_COLS = [ 'DF_UID', 'FLAECHE', 'NEIGUNG', 'AUSRICHTUNG', 'XCOORD', 'YCOORD', \n",
" 'panelled_area_ratio_ftr', 'panel_tilt' ]\n",
"ROOF_INFO = pd.read_csv(os.path.join(ROOF_FP, 'CH_ROOFS_all_replaced.csv'), usecols = ROOF_COLS)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"ROOF_INFO_GVA = SON_BASE_INFO_GVA.merge(ROOF_INFO, on = 'DF_UID')"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"219870"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(ROOF_INFO_GVA)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"219870"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(ROOF_INFO_GVA)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"PRED_COLS = ['DF_UID', 'available_area_std', 'predicted_area_ratio',\n",
" 'prediction_panels', 'total_std_shade' ] # Prediction panels: divide by; std_shade: uncertainty w/o panel\n",
"PRED_APV = pd.read_csv(os.path.join(ROOF_FP, 'PRED_available_area_unc_filled.csv'), usecols = PRED_COLS )"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"ALL_INFO_GVA = ROOF_INFO_GVA.merge(PRED_APV, on = 'DF_UID')"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"219870"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(ALL_INFO_GVA)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DF_UID</th>\n",
" <th>SB_UUID</th>\n",
" <th>GWR_EGID</th>\n",
" <th>FLAECHE</th>\n",
" <th>NEIGUNG</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>panel_tilt</th>\n",
" <th>panelled_area_ratio_ftr</th>\n",
" <th>prediction_panels</th>\n",
" <th>total_std_shade</th>\n",
" <th>predicted_area_ratio</th>\n",
" <th>available_area_std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>4817410</td>\n",
" <td>{C0837EBA-3FE8-4166-99E4-A009D794F3F7}</td>\n",
" <td>295070969.0</td>\n",
" <td>71.487047</td>\n",
" <td>10</td>\n",
" <td>503491.325015</td>\n",
" <td>134197.490397</td>\n",
" <td>127.0</td>\n",
" <td>10</td>\n",
" <td>0.805740</td>\n",
" <td>0.674559</td>\n",
" <td>0.191561</td>\n",
" <td>0.517614</td>\n",
" <td>12.014234</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4817425</td>\n",
" <td>{10B89BB0-60A3-4460-9D73-7C0036224AC5}</td>\n",
" <td>1004090.0</td>\n",
" <td>36.859836</td>\n",
" <td>37</td>\n",
" <td>503503.812619</td>\n",
" <td>134131.833522</td>\n",
" <td>33.0</td>\n",
" <td>37</td>\n",
" <td>0.390669</td>\n",
" <td>0.183354</td>\n",
" <td>0.110100</td>\n",
" <td>0.172112</td>\n",
" <td>2.758404</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DF_UID SB_UUID GWR_EGID FLAECHE \\\n",
"0 4817410 {C0837EBA-3FE8-4166-99E4-A009D794F3F7} 295070969.0 71.487047 \n",
"1 4817425 {10B89BB0-60A3-4460-9D73-7C0036224AC5} 1004090.0 36.859836 \n",
"\n",
" NEIGUNG XCOORD YCOORD AUSRICHTUNG panel_tilt \\\n",
"0 10 503491.325015 134197.490397 127.0 10 \n",
"1 37 503503.812619 134131.833522 33.0 37 \n",
"\n",
" panelled_area_ratio_ftr prediction_panels total_std_shade \\\n",
"0 0.805740 0.674559 0.191561 \n",
"1 0.390669 0.183354 0.110100 \n",
"\n",
" predicted_area_ratio available_area_std \n",
"0 0.517614 12.014234 \n",
"1 0.172112 2.758404 "
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ALL_INFO_GVA.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"ALL_INFO_GVA.to_csv( os.path.join( FP, 'roof_info_GE.csv' ), index = False )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Create new dataset for Geneva roofs (all roofs below 10°)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"fp = '/work/hyenergy/output/solar_potential/geographic_potential/CH_ROOFS_all_replaced.csv'\n",
"roofs = pd.read_csv( fp )"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"GVA_new_flat_roofs = roofs[roofs.DF_UID.isin(PV_pot_GVA_info[PV_pot_GVA_info.NEIGUNG <= 10].DF_UID)]"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"51260"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(GVA_new_flat_roofs)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"GVA_new_flat_roofs['panel_tilt'] = 10\n",
"GVA_new_flat_roofs['panel_direction'] = 180\n",
"GVA_new_flat_roofs.to_csv('/scratch/walch/scenarios_GVA/flat_roofs_GVA_south_10deg.csv', index = False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"GVA_new_flat_roofs['panel_tilt'] = 10\n",
"GVA_new_flat_roofs['panel_direction'] = 90\n",
"GVA_new_flat_roofs.to_csv('/scratch/walch/scenarios_GVA/flat_roofs_GVA_east_10deg.csv', index = False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"GVA_new_flat_roofs['panel_tilt'] = 10\n",
"GVA_new_flat_roofs['panel_direction'] = 270\n",
"GVA_new_flat_roofs.to_csv('/scratch/walch/scenarios_GVA/flat_roofs_GVA_west_10deg.csv', index = False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Select other files for GVA roofs"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"PARTLY_SHADING_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/shading_stats/CH_partly_shading_replaced_debiased.nc'\n",
"SVF_FP = '/work/hyenergy/output/solar_potential/geographic_potential/tilted_irradiance/SVF_CH_replaced.csv'"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"shading = xr.open_mfdataset( PARTLY_SHADING_FP, chunks={'DF_UID': 10000} ).sortby('DF_UID')"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"shading_GVA_flat_10deg = shading.sel( DF_UID = GVA_new_flat_roofs.DF_UID.values )"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"shading_GVA_flat_10deg.to_netcdf( '/scratch/walch/scenarios_GVA/GVA_10deg_partly_shading_replaced_debiased.csv' )"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"svf = pd.read_csv( SVF_FP )"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"svf_GVA_flat_10deg = svf[svf.DF_UID.isin(GVA_new_flat_roofs.DF_UID)]"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"svf_GVA_flat_10deg.to_csv( '/scratch/walch/scenarios_GVA/GVA_10deg_SVF_replaced.csv' )"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"AVAIL_AREA_FP = '/work/hyenergy/output/solar_potential/geographic_potential/available_area/PRED_available_area_unc_filled.csv'\n",
"av_area = pd.read_csv( AVAIL_AREA_FP, usecols = ['DF_UID', 'tilted_area', 'available_area'])"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"av_area_GVA_flat_10deg = av_area[av_area.DF_UID.isin(GVA_new_flat_roofs.DF_UID)]"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"av_area_GVA_flat_10deg.to_csv( '/scratch/walch/scenarios_GVA/GVA_10deg_PRED_available_area_unc_filled.csv' )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Check files"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Panel efficiency"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (DF_UID: 51260, timestamp: 146)\n",
"Coordinates:\n",
" * DF_UID (DF_UID) int64 4817410 4817444 4817449 ... 5124522 5124529\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 2001-12-15T15:00:00\n",
"Data variables:\n",
" TmaxD (DF_UID, timestamp) float32 ...\n",
" module_eff (DF_UID, timestamp) float64 ...\n",
" PF_mean (DF_UID, timestamp) float64 ..."
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"eff = xr.open_dataset('/scratch/walch/scenarios_GVA/efficiency_mapped_GVA_flat_west_10deg.nc')\n",
"eff"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n"
]
},
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (timestamp: 146)\n",
"Coordinates:\n",
" * timestamp (timestamp) datetime64[ns] 2001-01-15T08:00:00 ... 2001-12-15T15:00:00\n",
"Data variables:\n",
" TmaxD (timestamp) float32 5.129129 5.129129 ... 5.001648 5.001648\n",
" module_eff (timestamp) float64 0.1915 0.1903 0.1888 ... 0.1885 0.1898 0.191\n",
" PF_mean (timestamp) float64 0.4964 0.7224 0.7751 ... 0.7455 0.6406"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"eff.mean(dim = 'DF_UID')"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
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" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
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b2vN7Nna++WXioiO1gOHDimufu2GaQcPpmn27DWaMWO1du485RI/PDxMV1/dwZrtN2JEB0VGhodGZ/m5lU4KAA1l165dtXnzZusQkZ07dyohIaGCcH5+vswpwps2bbJOGT506JBiYn7cS9LT2YruZgAOHz7c2otw4MCB+uabbwgA/TzWeX3tCRAA1p41byovQADIiEDAjwJZWYV64YVMjRgRrQ4dIv1Yk+B49eGtO/X+YzO044P3FXdsk8JV9SbZJS0yd6QkdVCzS6/Wdb+erI4DugdHY6klAggggIBXBczes7s++URr58zRpnnzlJdZ/gTdEc8+q/733OPVd1ZWWF5egRYs2Gbt7ffRR9tkZv+5utq2rWvt6zdxYm81b57k8/rxgvICTgsAn332Wd13331WIydNmqSZM2dW6PI//vGP+tvf/mb9vpkF+Nhjj5W7x1sB4B133KFZs2apcePGOnz4sMtTqpkByJ9MJwkQADqpN4OrLQSAwdVf1NZhAosWZeuqq4pOwu3QIUJXXx1jhYFDhkQrJoZvDa66+/ieg5r/6HRtff89xR1apwi5Xi5VUlZqQms1uWS4Rj44VV2H9HXYiKI5CCCAAAJnC5zYts0K/da+/LJS9+2rEqhZ//6aumKFzwB37DhpzfQzM/4OHUp3+Z7o6Ahdf30XTZnSR0OHtpWZ/cflHwGnBYBmdt/gwYNLZ9wNGzZM99xzj9q2bWvN9DOB4Lvvvmtht2vXTmvWrKkwS9BbAeD06dM1depU610///nPdeuttyo5Odn676ioKJmTjksuAkD/jH/e6hsB/kb3jSuluhcgAHRvxB0I+Ezgpz9N1dNPl5+BYF6WkBCmyy6L1tVXR2vEiBg1axbhszo4oeBTh47p3cdmafO8eYrdv1pRyvWoWenxzdRw8FUafv8k9bh8kMufPHtUIDchgAACCASEQFZKija+9ZbWzp6tfV9/7bZOZulv91tu0ZVPPqmIKO8dpJGVlWft6Wdm+xN80yIAACAASURBVH36qfs9bbt1a6SpU/vq1lt7qkGDeLf15gbfCzgtADRiJ0+e1LXXXquvvvqqSkBzAvDChQvLhXAlN3srAExPT1evXr2spchnXyb82737xz8zBIC+H+u8ofYECABrz5o3lRcgAGREIOAnAbNpcvv2J7Rzp/uZa336RFqzA00g2L9/lCIi+LZRVbelHD+t+f+Yo/VvvaOYPSsVo2yPejgjtpHqXXiFrvjZJPUZOVRh4eyt5BEcNyGAAAIBIlCQn6+dS5ZYs/22zJ+vvKwslzULj4xUhxEj1GviRHW8+mprH0BvXevWHbFCP3Oa76lTrutRp06Uxo3rbu3tN2BAc34Y5a1O8FI5TgwADU1BQYFee+01zZ07V6tXr7ZCwaSkJPXo0UM33nijNTMvuoo/E94KAE09jhw5okceeUTmhOI9e/YoIyPD6jkCQC8NYIoJSAE+yQVkt4REpQgAQ6KbaWQgCmRmFuonP0nVggU5OnSowOMqNmwYpuHDTRgYoyuvjFbdugRVVeGlnU7X/Cde1Zo33lb0zuWKKyz6n0p3V1Z0PSUNuFSX/XSi+o2+UuZDIhcCCCCAQGAKHNu82Qr91r3yitIOHnRbySa9eqn3xInqccstqtO4sdv7Pb0hLS1bb7yxwTrJd8WKA24fGziwhbXE96abuikx8ccDFtw+yA21KlBbAWCtNoqXeUXAztjYv3+/WrZsWfJ+8y/7vVIZCgkqAQLAoOouR1WWANBR3UljglHAbP69Zk2ePvooWx99lKMVK3JV6P5sC6upERHSoEFRxbMDY9S1awQzB6oYBBnpWZr/1Jta9cobitz2lRIK0zwaLjmRCarTb6guuec2nT/2Wq/OEPGoAtyEAAIIIFBBIPPUKW144w1rie8BD/bti2/USD3Gj1fv22/XOb17e03UzOZfvny/NdvvzTc36swZ11tQ1K8fp9tu66nJk/uqe3fvhY9eaxAFVRCwE/LAGBoCdsYGAWBojA13rSQAdCfE130lQADoK1nKRcCmwNGjBfr4YxMGZmvRohylpHiYBlrLJcKtPQPN7MBhw6IVF8e3l8q6ISszR/OfnqcVc95Q2OYvlVx4yqPeyo2IU1yvwRoybYIG3nq9ouLZn8kjOG5CAAEEvCBQkJen7YsWWbP9fnj/feXn5LgsNTwqSh1HjrRm+7UfPtyre/sdP56hV15Za83227TpmNvWXXppW2tvv+uu66zYWGaVuwULoBvshDwBVH2q4kMBO2ODANCHHRJERfMJLYg6y2FVJQB0WIfSHGcJ5OYW6uuvc4tnB2Zr0yb3+wWWCMTGygoBi/YOjFHr1hwkUmkYmJWr/77wkb6eMVcFGz9XgwL3H+RMOXnh0YrpdqEGTRmvCyfepJikJGcNPlqDAAIIBIjA0Q0btGb2bK2fO1fphw+7rVXTfv3U6/bb1WPcOMU3bOj2fk9vMDP2ly7daYV+8+dvVm6u6+07mjVL1KRJvXXHHX107rn1PH0N9wWYgJ2QJ8CaQHV8JGBnbBAA+qgzgqxYAsAg6zAHVZcA0EGdSVOcL7B7d35pGPjppzlys795OZBu3SJKw8ALL4xSZCTfes4eMdnZefpg1v+07IVXlbPuMzUpcL+XlCkjPyxSUZ0GaOCkcRo0eZziGzRw/mCkhQgggIAPBTKOH9f611+3Zvsd+u47t2+q06SJet56qxX8NenRw+391blh//5UzZq1WjNnrtHu3addPmoO6Ro5sqN1oMdVV7VXZCT79FbHOhDvtRPyBGI7qJP3BeyMDQJA7/dDMJbIp7DyvdZa0k8lXS3JbIxpjnDcIektSc9K8mwX98pHgvku3FnSgOJf/SX1lFRy7NdQSZ9VYxBdK+l2SQMlmR8xmk2lthbX9XlJro/9+vFF3SX9RNJlkppJSpe0RdJcSdPNZJNq1Kk6txIAVkeLexEIIIGMjEKZELBo78Bs7d3r+UEideuGWQeImJmBV10Vo0aN+IBydtfm5OTrw1c+0+fPv6qs1Z+oWf5ej3q/QOGKbNdH5902VhdNuUWJzcxf6VwIIIAAAu4E8nNztX3hQmu239YPP1RBruv99MypvZ2uu84K/dpf6d0Dm3Jz8/Xhh1ut2X4ff7xdZvafq6tdu3pW6Hf77b3UtGmiu6by9SASsBPyBFHzqGoNBOyMDQLAGoA76FECwB878xpJr0qqai2VCddMMLjdZv+bsG62i2c9DQDNd/bXJI10UdZmSaY9Jrx0dU2V9EyZEPLse1cUt/m4zTa7eowA0AeoFIlAbQuYTcg3bvxxdqBZNpzv4WrhsDBpwABzkEhRINinTyQHiZzVgSYMXPjWN1r67CvKWLVUzfN2Klzu92YsVJjCW3dT31tu0kV3TlDdNm1qe2jwPgQQQCDgBQ6vXVu6xDfjmPttGJoPGKBeEyeq+803K65+fa+2b9u2E9aBHnPmrNWRI2dclh0TE6Ebb+xqBX9DhrRWeDgf6bzaGQFSmJ2QJ0CqTjV8LGBnbBAA+rhTgqR4vlsUdVQfSV9JiiueAfeIpE+L/3usJBOUmcuEgOcVz7arbhdPlDSr+CHzY8UNksxOvCVrBTwJAE1/LZB0VXE5Zl3CP4tn7Jlg0ASUZjZfjKRtkswsw5QqKjpc0oeSzPSbI5L+LulbSeb/Zkx7ry9+bpmkS8xKs+o22M39BIBeBqU4BAJB4NSpAusAETMzcOHCbJ044T6sKql306bmIJGiMPCyy6KVmMjswLJ9amaFfPzud/rfM68o9dslapW7VRHybPZlbIdeGnzPJPUcN1YJTZoEwlChDggggIBfBM4cPar1r71mBX9H1q51Wwczm7rnhAnWbL9GXbq4vb86N2Rm5mrevM1W8Pf553vcPtqjR2PrQI/x43vKnOrL5WwBOyGPs0VoXYmAnbFBAMj4MQIEgEXj4HNJQ4qXu5p/fnPW8HhQ0j+Kf+8vkv5sY/iYpb9mua6ZVbemeImuKedPxWV5EgDeKOnt4vv/VzwL8OxjyMxS3o8lmV33H5X0m0rqGiXJzBJsJylVUt9KZguaJc/3FD87yc3sRRscIgC0o8YzCASRQH5+oVasMAeJFAWCa9Z4vqNAVJR08cUmDCwKBDt04OTCsl1vwsDFH6zToqdf1amvF6t1zhZFebJjQ1i4Wl48VH1uG68u11+v2OTkIBpRVBUBBBCwJ2BO7TVLe82+ftsWLJA51dfVFRkbq86jRlmz/c697DKFR3j3MKsDB1L1xBNfa9asNUpJMTsOVX0lJETrllu6W7P9zjuvGTPl7Q2BoHzKTsgTlA2l0tUWsDM2CACrzezIBwgAi/bkMzPfzPWCpLsq6WkzDcXM2DM/9jM78DaW5HpzEM+GS3UDQDNjz8zyM1fH4ll+lb3JLGUeL8msHzB1PXvvwpskvVn8oAkITVB49hUvab8kc3TYJkndPGuSx3cRAHpMxY0IOEPgwIF8LVhg9g3M0ZIlOTpzxvPZgR06lBwkEq0hQ6IVHc23r5JRYcLApR9v1oJ/z9WxLxapTc4mxVpb2Lq+wqNj1PHqEeo+bpw6jhypqDhmk7gz4+sIIBA8AmaLikPff2/N9Nvw+uvKPHHCbeVbXHCBek+cqG433aTYunXd3l/dG0zw99hjX+nFF79TdrbrxTUXXthSU6b00Zgx3WRCQK7QE7AT8oSeUmi22M7YIAAMzbFydqv5BCU9XGaWnJmhVxIGnm31a0lmabC5rpS02AtDqLoB4GFJZu2W2Yewg4v33yrpleKv3yDp3bPuNXsIjiv+vaaSTLmVXeYwkWnFX+hUvATaC822iiAA9JYk5SAQhALZ2YX6/PMcLVhQNDtw+3bPdxlISAjT5ZcXzQw0S4abNvXuzIwg5Cytcl5egT5Z/IM+fPpNHf50gdpmb1C8Mt02KTohQZ1Hj7bCQDPbJcJMweRCAAEEglAg/fBhrXv1VWu239EN5uf3rq+kFi3U87bb1Pv229Wgo/n5uvcvT4O/Bg3irMM8Jk/uq65dG3m/IpQYVAJ2Qp6gaiCVtS1gZ2wQANrmdtSDBIDSF5IGF8+WMz/qq2pNwAWSvi7u/b+WWbpbkwFR3QDQzDo06+DMfoUXuXjx5WUCyqck/eKse82RkuaU4x+KTyauqigTEpqw0Fx3lNnDsCZtLnmWANAbipSBgEMEtm7NKz5VOEdffJEjNwcwlmt1376RGjEixlou3L9/lCIi+NZmgEwYOP+ddZr711mK2PypOmuLoj2YvB7fsKG6jhljhYGtBg1SWDh7MTrkjxnNQMCxAnlZWfrhgw+0dvZsbV+0SIVuTqOKjItT1xtusPb1azN0qNeX+JZAm+Dv0UeX6aWXvq9yxp85EOvyy9tZs/2uvbaTYmLY8sKxA7WaDbMT8lTzFdwepAJ2xgYBYJB2tperzackyRz51VCS2QW4twtfsxT2ZPHXzT58ZhltTa/qBoCnJJmQ0vw4s+TwkMrqUHavQDNT0cxYLLkSyhxi8r6kUS4aYQ5H+b74649LeqimDS7zPAGgFzEpCgEnCaSmFlhLhM3MQDND8PBhzw66MAYNG4Zp+HATBsboyiujVbcu4ZVxWbHigJ56/HNtmPeeuhWuU3ttV6QHZzsltWypbjffrB633KJzevdm7ykn/UGjLQgEuYBZ4ntw5crSJb5Zp80uPa6vVoMHW6FftzFjFJOU5O52218vCf5efPF7mdPcK7uiosI1eXIfPfTQILVtaz5mcCFQXsBOyINhaAjYGRsEgKExNty1MtQDwFipdG3UR8WHargyS5dUR9JySWZGYE2v6gaAZgaiea/5PwmzdNeEl5Vd/y4+Ddh8zRz20bXMTZ2Lf8/8ljno4z4XjTDBaMk73iizbNiTdpuAz9V1jqSV5oZ9+/apRQt3t3vySu5BAAGnCRQUFGr16pLZgdlauTJPhR5uHWj2bB80KMoKA82vrl0jQj7A2rs3Rc88s0JzXlim5qlr1EPr1Ua7FS73qA06dbJmBfYYN85ny+ScNn5pDwIIeF8g9cCBoiW+s2fr+JYtbl+Q3Lq1Ffr1uu021W9nzr/z3eVp8GcO9Pj1ry9Sq1YcxOS73gj+ku2EPMHfalrgiYCdsUEA6Ims8+8J9QDQbK5xtLibzaEYY910+ZHiQzXczcDzdORUNwA0M/AeKy78xTL785V9n9kb0MzaMzP9zGUO8jDLfUuu/sUnEZv/NmWZvQ2rusyO8CUHiJgDSK7xtGGSB58miwsjAKyGKrciEOICR48WaOFCc5BIthYtylFqqvvgqoSsdetwKwgcPz5WF14Y2huqp6Vla/bsNXrqqW91dOdeddNGKwxsoQMejbCm/fpZYWD3m2+W2T+LCwEEEPClQG5mpra89561r9/O//1PhQWuZ4ZH1amjrjfeaB3o0XrIEJ9vZbB//49LfV3N+CP48+UocV7ZdkIe5ynQosoE7IwNAkDGkhEI9QDQBGNmPzxzmUMzbnMzLEr2ztshqb0XhlB1A0CzVmFj8QEa5vXmtF+zNNf8+DNR0ghJ/5BkZtflSDKfcM2RZ2YmX8ll9js0+x6a62+S/uiiHWbtXMm6haWSLqtGmz3+VE4AWA1VbkUAgVKB3NxCffVVbvHegdnavNnzg0Ruvz1WTz6ZqPr1Q3uJcH5+gT74YKuefPIbffnlXtXTSXXXBisMbFzlJPMygzAszPpwbcJA82E7vkEDRigCCCDgFQGzxHf/N99YS3w3vvmmslNT3Zbb5pJL1GviRGt/P3O4ka8vgj9fC4d2+XZCntAWC53W2xkbBIChMz5ctTTUA8BgmwFo+tLsy7egOOSrqm+fKQ7rzHLf3ZLalrmxtmYAupsSwhJg/g5CAAGvCuzala8FC4pmB37ySY6ys10X37hxuJ55JlE33hgT8kuDjdSqVQf1z38u11tvbbQOEGmsI1YQaALBenK/t1Z4ZKTaXXGFut9yizpfd12tfPj26gCiMAQQCAiBlL17tfaVV6zZfie3bXNbp3rnnlu6xLdumzZu7/fGDdUJ/n7zm4vUsiVLfb3hHmpl2Al5Qs0oVNtrZ2wQAIbqaCnf7lAPAINtD8CS3msi6TfFB5GYvQBLrnXFMwDnSio5MGS1pL5l7qmtPQDd/QnjEBB3QnwdAQRsC2RkFFohoAkDza99+6peLjZqVIyefTZRzZpF2H6fkx40H2zNPoEvvPCdTp/OsnZ0aKH9Vhholgon6Izb5poTNjtdc401M7D98OGKjIlx+ww3IIBA6ArkpKdr8/z5Vui365NP5G6z1+jERHW76SYr+Gt10UW19kOcfftSrFN9p09fXeXhHtHREdaJvmaPP4K/0B3T3mi5nZDHG++ljMAXsDM2CAADv19ro4ahHgAa42A6BbiyMdG4+GRg0w4T+pmrlaQ9xf9ulglPKPMgpwDXxp8s3oEAAgEjYJaRbdiQp/ffz9bjj2dUum9gcnKYnngiQZMnx9XaB8mAAaqiIunpOZozp2ifwO3bT1p3hSvfOjTEhIFdtFmxcjPNUlJMcrK63HCDdXhIm6FDFW5OZ+FCAIGQF8jPzdWORYu0fu5cbXn/feVlZro2CQvTuZdeaoV+nUePVnQdcy5f7VwEf7XjzFvKC9gJeTAMDQE7Y4MAMDTGhrtWEgAW7Ydn9sUzUxrqSsqrAs2cvmtO4TXXXyX9yR2uB1+v7h6AHhRp3XKLJDML0Fw/lfT0WQ+W7GX4gyQzI7Cqa5yk14q/eIekWZ5WwIP7mAHoARK3IICAdwUOHMjX3Xen6oMPzDapFa+hQ6P04otJat8+0rsvDuLSzD6BH320zdon8PPPS362JEUqV+213QoDO2qroqr89vlj4+s0aaJuN99shYHNzz+fsDWIxwVVR8COQMm+fuvmzrX29cs8Ybaqdn3V79ChaInvhAlKbmV+xl17F8Gf96xN3//znxkaOTJGHTvyPdYTWTshjyflck/wC9gZGwSAwd/v3mgBAaD0cPFyWuM5UNK3VcCa03IfKf7alZIWe6EDfBUAmhN7ry4+wKO1VOFYRxPqmXDPXGYJ8eEq2vJ8mZOGO0na6oU2lxRBAOhFTIpCAAHPBcyHkLfeytZPfpKqY8cqnlcUFyf99a8J+vnP4xUZybfJsrLff3/I2ifwjTc2WPsEllzRylZnbbHCwHbaoXAPDoKv27attUTYhIGNu3f3vAO5EwEEgk7g2ObN1ky/9a+9ptO7drmtf0xSkrqNHavet9+uFhdcUOs/LDDB3yOPLNOMGa6X+k6d2tda6tuihTmnj6sqgfT0At1xR6refjtbXbpE6Ntv6ysxMbQP4fJktNgJeTwpl3uCX8DO2CAADP5+90YL+GQjDSgT+r0g6a5KYM13qA2SukjWTuhm2W2uFzrAFwHghZK+Kq7bu5JuqKSeN0l6s/j3zV6Cj1ZyT7yk/ZLqSdokqZsX2lu2CAJAL4NSHAIIVE/gxIkC/eIXaXrlFbPPXcXrvPMiNWNGknr2jKpewSFw94EDqXr22ZXWPoEnT5ZfthevM+qqTVYY2Fpmwrn7ywSAJgw0v+q1LXtulftnuQMBBAJTIO3gQa1//XUr+Du82mxJ7foKi4iwDhLqOWGCOo8apSjz05havkqCv+nTv1dubuV7x5o9/gj+PO+Y7dvzNGrUaW3cmF/60PXXx+idd5JrPdj1vNaBcaedkCcwah68tTh69KhWrFhh/Vq5cqX160TxTOXbb79ds2fPDojG2RkbBIAB0XV+rwQBYFEXlCwDNst/h0j65qyeebD4cA3z23+RZIK7stclkj4t/o05kiZ62LN2AkCz9qGqT1QdiuvRvHhJs5lSYU4BPvsyn2Y3S2onKbX4kJAdZ930rKR7in9vkiRv/21HAOjhIOE2BBDwrcDHH2dr2rRU7d1b8cNeZKT061/X0e9/X0cxMXzLPLsnMjJy9fLLa61ZgVu3VlzKl6QU6xRhEwY2rXKyeflSWwwcaAWBZoP/hHPMgfFcCCAQLAJZKSna/O67VujnyWEepl3mz3yP8eOtP/N1Gpufsdf+RfDnG/MFC7I1fnyKTp8uP9s+LExatqyeLrww2jcvdkipdkIehzTdb80IM4OziosA0G/dwou9KMCnmSLMPsWz5syPGtNVtCzYBHrmv8dKurPY3CyBPU9S2ll94GkAeHYwOErSdcVlPSZpS5lyt0taVklfm+W9JgR8WdIqSSnFMxLNsuRpkszMPfMjNlPvd1yMlRGSPrD2dJeOSPo/SSuKZ/xNLTNz0NTBtO/HH9t5ZwASAHrHkVIQQMALAmlpBfrtb9P17LOZlR4+aZYsTZ+exIeVKqwLCgq1YME2Kwj85JPKl/c10HErCOwXvVmJOUfd9lpYeLjaDhtmhYFdrr9esXXNNr1cCCAQaAJ52dnavnChFfr98MEHys92fzhQg06drNCvxy23qH478/No/1x795qlvl9aS31dzfi7886++tWvWOrraS+Z7wmPPHJGf/jDmQrfU+vWDdNrryVr+HBOh3fnSQDoTsj7Xy8bALZs2VJdunTR4sVFO38RAHrfmxJrX4AA8EfzaySZE3Or2sTDhH9mXz0TzJ19eRoAVtxsquo+r2omYcn+flU9aT5VmcDyfQ+Gkwn6npFU1Y/fTCBo2nzcg7KqewsBYHXFuB8BBHwu8PXXOZo8OVVbtlT8mYf5ofB998Xp4YcTlJDA3kVVdcaaNYf11FPL9dpr66v4QF2opjqkAXFb1Dtyk8LS3H+LiYiOVocRI6wwsOPIkYqKNz/r4kIAAX8JFBYUaO+yZVr36qva9M47yjp1ym1VzIxes69fz/Hj1bRfP78u/yT4c9tdtm9ITS3Q7ben6r33KgbB3btH6r33ktWuHYeAeAJMAOiJknfv+dOf/qT+/ftbv5o0aaLdu3erbfHWJASA3rWmNP8IEACWdzcHZvysOPQyAZU5JtIEfm8XB2UZVXRTbQaAg4pn55mTi00dG0gy/9dl6vmepOnF/+3piDLLhM1JwZdKala8dNgsDzanCJuyqjoV2dPyq7qPALCmgjyPAAI+EcjKKtTf/35Gjz56RnmV/A3YqlW4XnghSVddxewFVx1w6FCanntupf7zn1U6caL8PoElz4WpQO0i9+u6dgfU4PAK5aS4DxGiExKs/cFMGHju5ZcrIoo9Gn3yB4FCEahE4Mj69aWHeaTu2+fWKDox0ZrBa2b7mRm94RERbp/x5Q0Ef77UlX74oWi/v8p+iHbTTTHWvrr8AM3zPiAA9NzKV3cSAPpKlnL9JUAA6C953ksAyBhAAIGAFli3Ltc6tfC77yr/OciECbH65z8T1aABswFddaTZJ/DVV9dZy4O3bKl6tl+48nVj7wwNrrdNqSuWKvfMGbfjI65BA3W98UZrGWGriy6SWTbMhQAC3hVI2bfPOr3XLPE9un6928LDIyPVfvhw9bz1VnW85hq/HOZxdiX37Dltneo7c6b7pb7mVN/mzTnV121Hn3XDf/+bpQkTUpWaWn7Bk/lr+dFHE/TLX8b7ddZnddsTCPcTAPq/FwgA/d8H1MC7AgSA3vWkNM8FCAA9t+JOBBDwk0BeXqGeeipDf/hDurIqOSy4UaMwPf10kszMBlcbR/up+gH1WrMn1KJF2/Xkk8u1ZMlOl3Xr3ilJU4Zkq+Ghr7Vr8SLl55gJ+a6vpBYt1O3mm61fzczyQsJAd2R8HYEqBTJPnbKW9prQb8/nn3skZUJ4M9Ov65gxim9gFqj4//Ik+IuJidCdd/bTr341iODPRpeZv9v/+tcz+stfKv7Qpn79ML3xRrIuv5wZ8zZoRQBoR827zxAAeteT0vwvQADo/z4I1RoQAIZqz9NuBIJQYPv2PE2dmqrPPsuttPbXXhuj555LVPPm/l3eFiy069cfsWYEzp27Xjk5VZ8x1bBhvO6a2EmXNtuvfQvmW6eKmr3H3F11mjRRh+HD1eHqq61lwrHJye4e4esIhLxAXlaWtn74oRX6bVuwwKPgvVG3bkWHeYwbp7pt2gSMIcFf7XRFSkqBbr01RR9+WPGHNL17R+rdd+uqbVu+L9rtDQJAu3Lee44A0HuWlBQYAgSAgdEPoVgLAsBQ7HXajEAQCxQWFmr69Ez98pfpFZY4mWYlJYXp8ccTNGVKnMLD+fbqSVcfOZJeuk/gsWNVbbMrRUdHaNy47rp7wrnSxs+04fXXtX/5ck9eIbMcseWgQVYYaA4SadS1K7M1PZLjplAQKMjPt2b4mcM8Ns+bp+zUVLfNTmze3Fp2b4K/Jj17BtSfJxP8Pfzwl5o1a02Vp/oy489tF3t0w6ZNRfv9bdtW8Yc448fH6sUXkxQfz/dCjzCruMmTANDMwDxxourvnzV5fyA+26BBfK3+PxYBYCCOAupUEwH+Vq6JHs/WRIAAsCZ6PIsAAn4TOHAgX/fem6b33694wqGp1CWXROmll5LUvj2nHHraSZmZudZsQDMrcNOmYy4fGzasre6/f6AGdorQprfetPYmO7Zxo6evUnLr1lYQaH61GTpU0XXqePwsNyLgBAHzw4zDa9ZYM/1MmJ528KDbZsUkJxfttzl+vFoPGeL3wzzOrrCnwd+0aWap70Vq1izRbZu5oWqBd9/Nsk76TU8vv9+fOePliScS9LOfsd+fN8aPJwHgsWNn1LjxE954XVCUcfToL9WoUe193yYADIphQSWrIUAAWA0sbvWqAAGgVzkpDAEEalPAfIB+551s3Xdfmo4erbgkNTZW+utfE/SLX8QrMpJvtZ72jXFdvHiHFQQuWrTD5WOdOjXQz38+ULfd1ktpO7ZYQYbZs+zktm2evk4RMTFqc8klpbMD67dr5/Gz3IhAsAmc2rWr9DCP45s3u61+RHS0Oo4caYV+JjCPNH+xBdhVEvzNnLlGeXmVbw9gZvwR/Hmn4/LzC/XHP57Rww9X3O+vYcMwvfVWXQ0dGu2dl1GKR3sAEgD6dqAQAPrWl9JrX4BPJbVvzhuLBAgAx2zP4QAAIABJREFUGQkIIBD0AidOFOiBB9I0Z04lJ4RI6tcvUjNmJKlXr6igb2ttN2DjxqN66qnleuWVdcrOrnqfwPr143TXXf10770DrFk9J7Zts/Yv275ggXZ/9plH+5iVtK1Bx46lYWCrwYMVGcPG9bXd77zPuwIZx49r41tvWbP99n39tfvCw8LU5uKLrdCvyw03KK5ePffP+OGO3bt/XOpL8Fc7HXDqVIFuuSVFH39ccb8/873O7PfXqhX7/XmzN5gBWFGTGYBFJp6MjbP19u/fr5YtW5b8tvmX/d4cr5QVHAIEgMHRT06sJQGgE3uVNiEQogKLFmVr2rRU7dlTcQZKZKT00EN19Ic/1FFsLN92qztEjh49o+efX6Vnn10p8+9VXVFR4Ro7trt+8YuB6tOnqXVbTnq6dXCICQS3ffSRUvd7/v+60QkJOveyy9TeLBcePlzmlGEuBIJBIDcjQz/8979W6Lf9449VkJfnttpNevUqPcwjkMe6p8HfXXedp4ceGsRSX7c979kN69fnatSoFO3cWfGHMbffHqv//CdJcXF8f/NM0/O7PAl5mAHouaedO5kBaEeNZwJZgL+pA7l3nF03AkBn9y+tQyDkBNLTC/S736Xr6aczVVh+WyTLolOnCGs24KBBLI+yMziysvL0+uvr9eSTy7Vhw1GXRZx/fnOZAOCmm7opPr5o9qVZXnx0w4bS2YF7v/pKhflVzyw8+wUmICnZO7DFwIHW4SJcCASKgAn5di5daoV+W+bPt8Jvd5fZD7PkMI/G3bq5u92vXyf48x//W29ladKkFGWcdc6E+SvwqacSdc89cQF1EIz/pLz/Zk8CQA4B8b572RIJAH3rS+m1L0AAWPvmvLFIgACQkYAAAo4U+OabHE2enKrNmyuGS2Fh0r33xunhhxOUmBjuyPb7ulEmyFu6dJeefPIbLVy43eXr6taN1W239dS0aeepa9dG5e7NOn1aOxYvLgoEFy7UmaOuQ8WyD8fWq6f2V15pzQ5sf9VVqtOofNm+NqB8BIyA+bNwcOVKrZs7VxvffFNnjhxxCxNXv766jhmjnrfeqpYXXqiw8MD+e2jXrlPWqb6zZ6+tco+/2NhIa48/Zvy57f5q3ZCXV6jf/jZdjz9e8YTZxo3D9c47yRo8mB9oVQu1mjd7EgBWs0hur6YAAWA1wbg94AUIAAO+ixxbQQJAx3YtDUMAgezsQv3972f0yCNnVNnqu5Ytw/XCC0kaPpw95moyWjZvPmbtE/jyy+tkZgi6ugYPbmXNCrzhhi6KiSk/e6+woECHvv9eWz/6yNo78MDKlSZd8axqYWFqPmBA6ezApn37Bnyo4lnDuCtQBU5u326Ffma2nyeH3pjDOzpde621xNcE1uZwj0C/qhP8/epXg9S0Kaf6erNPzf62Y8emaMmSivv9DRgQqXnz6qpFC/b786Z5ZWURAPpa2H35BIDujbgjuAQIAIOrv5xUWwJAJ/UmbUEAgUoF1q3L1ZQpqVq5svJw6tZbY/XPfyaqYcPAnoUT6N17/HiGtU/gf/6zSgcPprmsboMGcZo0qbfuvLOfOnRoUOm9Zjag2TvNzA7csWiRzGxBT686TZpYewaa2YHtLr9csXXrevoo9yFQpUD6kSPWLD8T+h1YscKtlJnZ1/bSS4sO8xg9WjFJSW6fCYQbPA3+zME/ZsYfwZ/3e23NmlyNHn1au3dX3NN2ypQ4PfNMomJi+AjpffmKJRIA1oay63cQAPq/D6iBdwX429u7npTmuQABoOdW3IkAAkEskJ9fqH/9K0O//326MjMrNqRRozD9+99JuvnmGPZRqmE/m9NAP/xwq1544TstWrTd7SS+Sy9ta80KvO66ToqKqnw2i9lbbf/y5aWzA4+sW+dxLcMiItTqootKZwc26taNPvZYjxuz09L0w/vvW6Hfjv/9z6M9K5v262eFft3HjlVi06LDcILhWr36kJ5+eoV16ndVp/qapb4Ef77tzblzMzV1amqF71VRUbKCvzvvjPdtBSi9nAABoP8HBAGg//uAGnhXgADQu56U5rkAAaDnVtyJAAIOENixI0933pmmTz6puKTKNG/kyGjrJEWWVXmns3fuPKWXXvpOM2eucXl6sHlbkyZ1NHlyH02d2k9t2riesWdOErZOFV6wQDuXLFHumapPJj67JcmtWhWdKjxihNoOG6boOnW801hKCWoBs5efGVdH1q7V4bVrrX+aXye2bfNoKXq9c88tOsF3/Hg17NQpaCzMsv23396o555bpeXLqz6hm+DP911q9vt78MF0PfVUxf3+mjYN17x5ybrggsBfOu57qdp9AwFg7Xqbty1btkzbt/+4v/Dx48f14IMPWhUZNGiQpkyZUq5SEydOrP1KSrIzNvbv36+WLVuW1Nf8S9V/8fqlVby0NgQIAGtDmXdUJkAAyLhAAIGQEzAf9GfOzNIDD6QpJaXiHnOJiWF6/PEETZ0ap/BwvkV7Y4Dk5OTrvfe2WLMCP/lkl8sizSEtV13V3poVOGJEB0VGul6anZedrb1fflk6O/DE1q0eVzkiJkZtLrmkaHbg1Verfrt2Hj/LjcErkJuZqWMbN8rMJC0N+9atU9apU9VqVHyjRup2883qOX68mp9/flDNLDXh/AsvrNKMGat14kQl06KLJUzwd/fd5+nBBy9kqW+1Rkf1bj56tEA333xan32WW+HBCy+Msg77aNqU/f6qp+qdu+2EPN55c+iWYgK9OXPmeAxg/r/OH5edsUEA6I+eCrx38uki8PokVGpEABgqPU07EUCggsDBg/m69940vfdedqU6F18cpZdeSlKHDuUPq4CyZgJbt57Qiy9+p1mz1ujkyaqDB/OW5s0TNXVqX02e3FctWni2f5o5nKFkduDuzz5Tfnbl/VtZKxp07Fg6O7D1kCGKjOGAmJr1tn+fNh8K0w4etIK+khl9JvA78cMPMofO2Lmi4uPVedQoa6bfuZdfrgizLjNIrvz8AuvU7ueeW6mPP3a9PL8k+DN7/J1zTkKQtDA4q7lqVa6uv/609u2rOCbvvjtOTz2VqOhoPi76q3fthDz+qqtT3ksA6JSepB1VCfA3OmPDXwIEgP6S570IIBAQAiYgmDcvW/fdl6YjRyp++IqNlf7ylwTdf3+8IiP5du3NTjNLD995Z5M1K3DZsr0uizYzMa+5pqOmTeunK65op4gIzw5syTlzRrs//bR0dmDKXtfvKVuJqDp1dO5ll5XuHZjUwnzL5ApUATMT9NimTUVBX3HgZ8K+zBMnalxls49kuyuusEK/ztddp+iE4ArEjh49o5kzV1uH9OzZk+LSo1kzs8dcX02bdh7BX41HjvsCZs/O1F13persn1OYQ6LNdhR33BHnvhDu8KkAAaBPeYO6cDtjgxmAQd3lXqs8nyi8RklB1RQgAKwmGLcjgIAzBU6eLLCWBM+enVVpA/v2jdSMGUnq3Tt4ZvsEU09t3HjUCgJffnmtUlJcz9gz+wOagOKOO/qoSRPPgxgT9pqAyJod+NFH2rtsmUcHOpQ4NunZ05od2PHqq9Vi4ECFRzIz1F9jLP3w4XJLd03od3zLFpnDYmp6mZN6TV836dXL+nVOr15q3L27zMy/YLrMeP/6633W3n4maDfL8F1dw4a11T33nKdrr636MJ5gan+g1zU3t1D335+mZ56pOAu6efNwvftuXQ0YwPebQOhHOyFPINSbOvhewM7YIAD0fb8EwxsIAIOhl5xZRwJAZ/YrrQoSAWsJWkGBwggSAqbHFi/O1rRpqdq9u+JswIgI6aGH4vXHPyYoNpZv3b7otDNncvTmmxutMHDFigMuX2H2Bhw9urM1K3Do0LbV3q8x6/Rp6wAREwZuW7hQZ44c8bhJsXXrqt2VV1qzA9sPH646jRp5/Cw3ei6Qn5NjBXtl9+kzYd+Zo0c9L8TFnfXbt68Q9iW3bh1Ue/md3bz09BzNnbvOCv7WrXM9ppOTYzRxYm9rv83OnRt6xZRC3AscPpyvm25K0ZdfVtzvb8iQKL31VrKaNGG/P/eStXOHnZCndmrGW/wtYGdsEAD6u9cC4/18igiMfgjFWhAAhmKv0+aAEchdvVqnLr5YURdfrJjLLlP0pZcqolu3oP7wGTC4NahIenqB/vCHM/rXvzJU2b7SHTtGaPr0JA0ezGmMNWB2++jq1YesIHDu3PUyoYarq0OH+rrzzn5WmNGwYfVnapkw/tDq1UVh4IIFOrBihUcnv1p1CgtTw86dldCkieIbNpQ5GML659m/in8/Ko4lfZX15Zljx8qfwLtunTVjsyC3YkjidvCcdYNZsls6q69kdl+PHkG3lNdVuzdtOqb//Gel5sxZq7Q0139e+vQ5R/fc01/jxnVXnTr8PVbd8VST+7/9tmi/v4MHK/6Q6ac/jdMTTyQqKoqPhjUx9vazdkIeb9eB8gJTwM7YIAAMzL6s7Vrxt3xti/O+EgECQMYCAn4UOPPEE0p/8MFyNQhv0sQKAkt+RbRu7ccahvarly/P0eTJqdq0qfKlc/fcE6dHHklQUpJn+9GFtqb91qelZeu119br+ee/05o1h10WFB0doTFjulqzAi+6qJXtMN2EUTsWLbICwe2LFlX7dFhXlTRLSasKByv7/bj69YPqoAl3PZ2fmytzUrOZyVd2Zl/6oUPuHvXo63XbtrWW7VpLeIvDvnpt2yos3Hl/TktO1zaHenz++R6XPjExEbr55u7WMt8BA5rb/rPhUSdwU6UC06dnWAdP5ZyVz5q9Zl98MUkTJvDDgUAcOnZCnkBsB3XyvoCdsUEA6P1+CMYSCQCDsdecUWcCQGf0I60IUoFTV12lnEWLXNY+on37ojDQzBAcOlThDRoEaWuDs9rZ2YV65JEzevjhM6psIlLLluF6/vkkjRjBabG+7mGzp9nKlQetgwzeeGODMjNd7/fWtWsjKwi87bZeqls31nb1zL5y+7/9tnTvQBNc1fZllhyXCwermmVYPAMxNjk5IAKvzJMnfwz5igM/M6uvOiczV2VtgtTGPXqU7tNnBX49esjs4ef0a//+VOsk7Zde+l6HD6e7bO6559bTXXf106RJfWzNjnW6ZW20z3wf+dnP0vTCCxX3+2vVKlzz59dV377s91cbfWHnHXZCHjvv4ZngE7AzNggAg6+ffVFjAkBfqFKmJwIEgJ4ocQ8CPhAozM3VsXr1VHjmjOelh4UpsnfvHwPBiy5SWJ06nj/PnbYFNmzI0+TJKVqxovLQafz4WD31VKIaNnTeLCPbaD588PTpLL3yylprVqBZ+ujqiouL1Nix3a0w0Bszn1IPHND2hQut2YE7/vc/5Vbnz7APTcoWbU6tjW/QoFqhoQnUwsLs/S9pQX5+0ay+4tN3S2b3pR1wvY+jpxzJrVqVO5TDhH31zj1X4WZjzhC5CgoKtXTpTmtvv//+9weZ/67qMt04cmRHa5mvOTXbnKLN5R+BgwfzdeONKfrmm4pL2YcNi9YbbySrUSO+b/indzx7q52Qx7OSuSvYBeyMDQLAYO9179Sf78recaSU6gsQAFbfjCcQ8JpA/uHDyvnkE+UsXaqcJUtUsHdv9cqOilLUBRcUzQ689FJF9e+vsChmEVQP0fO78/ML9e9/Z+j3v09XRkbF5xo2DNO//52osWNjbQcpnteGO42AmRX41Vf7rFmBb7/t/qTT3r3PsYLA8eN7KDGx5rM287KzdeDbb5Wyb58yjh8v+nXs2I//XvJ7x49X68Rhf/RuZGysx0uTM0+dKhf2Hd2wQXlZlZ+gXZ22mDqYE3fLnsBrlvGaGZChep06lanZs9foP/9ZpW3bTrpkaNQoXlOm9LX2wzSnZXP5V+Crr3Ks8O/w4Yr7/T3wQLwefTRBkZF8DPRvL7l/u52Qx32p3OEEATtjgwDQCT1f8zbwN3/NDSnBngABoD03nkLA6wImyMjfsaM0DDTBYOFJ1x/2zq5EWGKidaCICQPNoSIcKOL1brIK3LkzT3femaalSyvfaP/qq6P1n/8kqWXL0Jmd5Bvp6pV6/HiG5sxZYx0c4i4oSUiI1i23dLdOP+3Tp2n1XmTjbnPISFZKSqXBYFWBYdapUzbeFDyPJLVoUW6fPrNvX/0OHUJqVp+r3lq16qDM3n6vv75BWVmul7ub/S7N3n7XX99FMTGRwTMIHFpT8/38+eczrWW/Z28dYc4AmjEjSePGsd9fsHS/nZAnWNpGPWsmYGdsEADWzNwpTxMAOqUng68dBIDB12fUOEQETGCQt3atNTPQmiH45ZeqdNqZCw/rQJFhw0pnCHKgiPcGj/mAN3t2lu6/P02nT1dcipeYGKbHHkvQtGlxLL/zHrtHJZm++fTT3daswPnztygvr+Lsm7IFmWXBZlbgzTd3C6gTUc1hGWYPvdKZhW5mGJr7AnE5ckRMjBp361Yu7DOz+swSZa7yApmZuXrzzY1W8Gf2u3R1mRD71lt76O67+6tnzyZQBohAVlah7r03VTNnVpwR27ZthObPT1avXszUD5Du8qgadkIejwrmpqAXsDM2CACDvtu90gACQK8wUogNAQJAG2g8goA/BAqzs5W7fHlRGLh0qXK//VbKr/x02qrqF9GuXfkDRRo29EdTHPXOQ4fy9ZOfpGnevOxK2zV4cJSmT09Sx47MyvFHx5sDEmbNWq0XX/xeu3efdlmF5OQYTZjQU9Omnafu3Rv7o7o1fmduRoYyTpyoVmhYUNnpNjZrktC0aYUTeBt26qTwSMa/K9Jt205YgfWsWWt06pTrpdTdujWy9va79daeSkqq+TJ2m13NY5UI7NuXrxtuOK2VKyvO2Lziimi9/nqy6tdnv79gGzx2Qp5gayP1tSdgZ2wQANqzdtpTBIBO69HgaQ8BYPD0FTVFoJxAQWqqcr/4onTJcN6GDdUWsg4UKd4/MHrwYA4Uqbbgjw+8+26W7r03rdK9nmJipD//OUG//GU8+z3VwLgmj5oDExYv3mGFLB98sNXlAQrmPWZJpZkVeOONXRUb69zwysyWzE5NrdbSZDMr0QR6jbp2/THsMyfw9uypOo0a1aSbQupZMzP1o4+2Wod6mLHp6oqMDLfG4t13n6fBg1uxx2gAjpQvvsjRmDEpOnq04ozjX/86Xv/3fwmKiOAjXwB2ndsq2Ql53BbKDY4QsDM2CAAd0fU1bgTfDWpMSAE2BQgAbcLxGAKBJpB/5EjRgSLFS4YL9uypXhVLDhS59FIrFORAkerxmbtPnSrQL3+ZVunSL/P1/v0j9fLLyerc2bmBUvXVav+J/ftTNWPG95o+fbXMv7u66teP08SJvaxZgR07smTVWJkTf81pwWHhzGSyM3rNrFQz/sxelfv2uR5/LVsmWUH05Ml9dc45CXZexzM+FjAh+tNPZ+qBB9KUd9bEvzp1wjRrVpLGjIn1cS0o3pcCdkIeX9aHsgNHwM7YIAAMnP7zZ00IAP2pH9rvJgAM7f6n9Q4VsA4U2bnzx/0DzYEiJ05Uq7VhCQmlB4qYQDCye3dmnXgouGRJtnVIyK5dFZdox8ZKDz+coJ/9LJ69AT309NVtZgbWggXbrCBm4cJtKqy4lWO5Vw8d2sY6NGTUqM6KjuaAF1/1ixPLNX8nf/nlXmtvv3nzNrvdl/LKK9tZs/2uvrqjzOw/rsAUyMws1LRpqXrllYrLttu1i9B779VV9+78wCcwe8/zWtkJeTwvnTuDWcDO2CAADOYe917dCQC9Z0lJ1RMgAKyeF3cjEJQCpQeKFO8fmPPFF9U/UKRxY0UNG2adLmxOGY5o0yYoLWqr0mfOFOoPf0jXv/6VoYJKzqAYMiRKs2cny2wKz+V/AbM/4EsvfacZM1bryJEzLivUuHEd3XFHb02d2k/nnlvP/5WnBgErkJqarVdfXWcFfxs3HnNZz3r1YnXHHX2sGX8dOjDbNGA7tbhie/bk6/rrT+v77yvu9zdiRLRefTVZ9eoR3gZ6P3pSPzshjyflck/wC9gZGwSAwd/v3mgBAaA3FCnDjgABoB01nkEgyAUKc3KKDhQpXi5s60CRc8/9cf/AYcMUzoEilY6K5ctzdPvtqdq6teJsQLM87MknEzR1ahyzKwPkz1Rubr7ef/8Ha1bgkiU7XdYqLEy64op21qzAkSOZqRUgXRgQ1Vi//ogV+r366nqlp+e4rFP//s2sQz3MKdRxcZwOGxAd6KYSn3ySo5tuOq0TJypOG/7DH+roz3+uwwzvYOhID+toJ+TxsGhuC3IBO2ODADDIO91L1ScA9BIkxVRbgACw2mQ8gIDzBModKLJ0qfLWr692I60DRYr3D+RAkfJ8GRmF+t3v0vXUUxmVul55ZbRmzEhS8+bMBqz2wPPhA+Zk1pde+l4zZ67WiROZLt/UqFG8Bgxorn79mqpfv2bq27epmjdPJNj1Yf8EWtHZ2Xl6993N1qEey5btdVk9c7DMLbd0191399d55zULtKZQnyoEzFLuf/4zQw8+mF5hZndiYphefjlJo0ax35/TBpCdkMdpBrSncgE7Y4MAkNFkBAgAGQf+EiAA9Jc870UggAVKDxQxS4aXLJGtA0UGDiydIRg1YIDCopjZ8tlnOZo0KUW7d1dcE1y3bpiefjpR48fHEhoF2J8NE+yYfdvMrMAvvvD8cB2zVLgoEPwxFDSHOpgDNLicI7Bnz2lrbEyf/r2OHas85C9pbYcO9a29/W6/vbfMATNcwSNgfpAzZUqqXn+94n5/nTpFaP78uurShf3+gqdHPa+pnZDH89K5M5gF7IwNAsBg7nHv1Z3/E/SeJSVVT4AAsHpe3I1AyAmUHihSHAaak4ZtHSgyZEhpIGgdKBKiJ4impZmTgtP14ouVzygbPTpGzz+fpMaN2TsqEP+wbdp0TC+++J3mzFmr06crBgHu6tywYXxpKGhmCZrZgq1bJxMKuoMLsK8XFBRq8eId1jLfjz7aJvPfVV3h4WG67rpO1jLfYcPasjQ0wPrSk+rs3Jmn0aNTtG5dxf3+rr02xpr5l5zM39meWAbjPXZCnmBsJ3WuvoCdsUEAWH1nJz5BAOjEXg2ONhEABkc/UUsEAkbAOlBk3bofTxi2caBIWKNGih09WvH336/ITp0Cpm21WZGPP87W5MmpOniw4mzAhg3D9MILSbr+epaS1WafVOddGRm5evvtjXr++e+0fPn+6jxa4d4GDeKsJcNFgWBRKNi2bV1CwRqp+ubh48czNGvWaqvfd+485fIl55xj9vfsa/1q2TLZNxWiVJ8LLF6crbFjU3TqVMWQ9y9/qaPf/579/nzeCX5+gZ2Qx89V5vW1JGBnbBAA1lLnBPhrCAADvIMcXD0CQAd3Lk1DoDYESg8UKT5h2DpQJK/iLIlK6xIWpphRoxT/0EOKHjiwNqobUO84dapAP/lJmubOrXwmmVkObJYFc5JkQHVbhcrs2HFSK1Yc0HffHbJ+ff/9IZnTX2tymRNhzw4F27WrRyhYE1Sbz5pZ0KZ/zd5+b765QdnZFQ/0KVv0JZe00T33nKdRozorKop9PW2y+/0x0+//+EeGfvvbivv9JSWFae7cZI0cGeP3elIB3wvYCXl8XyveEAgCdsYGAWAg9Jz/60AA6P8+CNUaEACGas/TbgR8JFCQlqbcL75QTvGSYU8PFIkaMkR1TBA4fHjILQ+eNy9Ld92VquPHK84wadYs3Dog5Kqr+KDpoyHr9WLNclAzO+y77w6WBoImGLSzZLhs5ZKTYyqEgu3b12dJqRd6MC0tW/v2pWrfvhTrn3v3Fv3T/Lfpy127Trt8S1JSjG67rad1qEfXro28UCOK8KdAenqBJk1K1TvvVAzyu3Yt2u+vY0f2+/NnH9Xmu+2EPLVZPye+a9WqVVqwYIGWLVumTZs26dixY4qKilKzZs00aNAgTZ48WRdddJHfm25nbBAA+r3bAqICBIAB0Q0hWQkCwJDsdhqNQO0JFBw9KrNvYPaSJVYoWLB7t8uXR3TrZgWBsWPHKiw6uvYq6uc3HT1aoGnTUvXee5XPHLvzzjg98USCEhPZZ8rPXWXr9WY2kQmRzg4FT550fbqwu5clJkarT5+SpcNFy4c7dmxAKFgGzhzisn+/CfMqD/jM79sNZ3v2bKJ77+2vW27poYSE0Pn7yt24DOavb9+ep1GjTmvjxoozPa+/PkazZyfx93Awd7CNutsJeWy8hkeKBYYMGaIvv/zSrceECRM0ffp0Rfvx/xXtjA0CQLddGxI3EACGRDcHZCMJAAOyW6gUAs4VyNuxQ5kzZijzuedUmPL/2TsP6KiqrY//0nuhKyBFVIoiKIKCYsUOKipgRxA7HWmCUpWuCBYUCyKgoBTb89Pne1ZALIjwpCmKKL2GZNJn5lvnzoQkU5KZm5nMvTP7rJUVyJyy93/vTM787y5ZXhWNbthQqxGY1K8f0Wlp4QtIGc0USaTSgfv3zyYryz0asEmTaBYsyOCSS4RoCAeHUPb+668sjRRUacMlKcSqzlxVhiKi2rY9qVwH4ubNaxETE37ksdVqY+/enBOReypirzR6z0H47d9vqQqcbmvj42Po0aOV1tSjY8eGkpYdUHRDs1nRTz9BXBz//qc5d9yR5fb+qxp3P/VUKqNGJYu9Q2OikJ6qh+QJqcAmP/y0005jx44dWrRfjx496Ny5M40aNcJqtbJ27VpmzZrF7t27NS1vv/12lixZEjKN9fiGEIAhM5ehDhYC0FDmiChhhACMKHOLsoKAcRCwHT9O3vz55D77LDbnRc6TdFGZmSQ/+ihJAwYQU6+ecRQIoiT//GOlX7/jfPppocdTBg9O5umnU0lKkutDEM0Qkq0VKagi0lxJwQMHqkZiJSfHuZGCLVrUJjbWuKSgwuLw4TwnoVeakrtrV2kk3+7dx7FavXfgDaQRmzTJ5KGH2tG37znUqZMSyK1lrxAhYDt0iJwxY7S/RQcatKPtPx9go/zvRGZmFG+/nSFlGEIuTlw0AAAgAElEQVRkIyMcq4fkMYLcZpWha9eu3HPPPdxyyy3ExLjXUT106JCWBrx9+3ZNxa+++goVNRiKocc3hAAMhaWMd6bc4I1nk0iRSAjASLG0SfQ8eBR2H4SzT4No434uNQma5hBTNRHJX7IEy/TpWLds8S50QgJJffqQPGwYsaedZg7lqiClIj/mz89j6NAcLBZ3gqN58xjefDOD88+Pq8IpstQMCChf2L072xkl6KgrqL727cupkvhJSbG0aVM+UrBly9rV1rhC1d0rW2vPkaJbUn/PQfjl5/vYUKhKSJQurl07mVNOSadRowztu+req743a1ZTi6gMxyjKAEFnqm3sxcXkvfwyOU88gf1oaTfnITzD29xxQpfWrWNZuTKDZs2k3p+pDBxgYfWQPAEWQbZzQeCjjz6iW7du2k8HDBjAnDlzQoKRHt8QAjAkpjLcoUIAGs4kESOQEIARY2pzKPryKnhoOmSmQec2cOk5cMk50PZ08PAQ0BxKiZQ+IWC32Sj8+GONCCz69lvva6KjSbjlFq1OYNx55/m0t5kn/fFHsVaM/uuvi9zUUCT5qFEpjBuXQny8XCXMbGc9su/Z404Kqp9VZSQmxqLq2imyS32pTsRnnlkXlfbqzyipu+dK8JX9f1ZW1Tol+yOPmqvqJZYQeq4En/p/w4bpJCUJoe4vrmabX/jNN2QPGEDxL7+4iX6IWnRiDcfJoFevBF57LYOUFHlvNZuNAy2vHpIn0DLIfuURyMnJIc1ZHua6667j448/DglEenxDCMCQmMpwh8pfFsOZJGIEEgIwYkxtDkXvGAdv/9td1vQUByGoyED1de4ZECsP5M1hVB1SFq5ZQ+706RS8/36Fq+Mvv5xk1Tn4qqvCui6T6io7Z04uo0fnkJ/vDsnZZ8eycGE6bdoIeaHD3cJqiYoKdNQTLI0UVA0wqjIU+VdCCipCUBGDdeumaI01vBF8VU1Z9ldeJWPZiD1PBF9GRqK/28r8MELAumcPOcOHaxHnnkYuSTzDUF6NeoBJ02sxbJjU+wsj81dJFT0kT5UOlMWVInDkyBFq1aqlzVORgB988EGla4IxQY9vCAEYDEuYb08hAM1ns3CRWAjAcLFkGOhht0ODG2HvocqVSU2Gi86GS9o6CMHzWkKcEIKVA2eyGcVbtmCZOZP8t96CIvcIuBJ1Ytu00YjAxJ49iQpjZnjr1mJ6987i++/d0yLj4tAiAUeOTCE2Vq4VJnP1oIqryDhXUlARd2YZ0dFR1K+fdoLga9SoNDVXRfQpsq9OHSFrzGLP6pZTlZnInT0by6RJ2HM8p82v5CYm8iQFNRuwdGkGXbokVLeYcp6BEdBD8hhYnbAQbeXKldx8882aLiNGjGDatGkh0UuPbwgBGBJTGe5QuakbziQRI5AQgBFjauMreugYdHwAfv/Hf1lTkqDTWQ4y8NJzoX1LiJdgKP+BNOgK6+7d5D73HHnz5mHP9p7iGN24MSnDhpHUty9RKeFZpL+42M60aRYmTLB45EQ7dIjVagO2aCGMuEHd2RBiqU7DZUlB9e8//zwWEtkUeVeSmltaf6+0Bp8i/4zcrCQkoMmhPiFQ8OmnZA8ciNXZLMB10WZaMpbJrOFC2rZV9f4yadLEv3R3nwSRSaZGwBeSR0XqHz5cPQ2JjABmrVpRqIczoRg2m42OHTvy/fffa8f/+OOPtGvXLhSi4ItvuAomBGBITGW4Q0Pz22M4GESgECAgBGAIQJcjK0ZANQH56mfH15c/w/Zd/iOWlAAdSwjBc6BDK0iUB/r+A2mwFbZjx7TC7Sqaw7Zvn1fpomrVIrl/f+0runZtg2kRGHE2bCiid+/jbNzoHg2YmAhTpqQycGByyC7ogdFSdqlOBI4cyXMjBXfsKG2QoEcWVXfPkY5bQuiVNNhw/F/q7ulBVdZUhoD1zz/JHjLEaxmJY2Qwg+Es4F6sxHLbbY56f8nJ8pGsMmwj8XVfSJ6DB23UrXswYuA5cKAOdeqEplvfrFmzeOyxxzSsVRTg8uXLQ4a7L74hBGDIzGPog+WvjaHNE9bCCQEY1uYND+VUSvDXGxxkoCIFt+z0X6+EeLjgzNKmIhecBYoklGFOBOz5+eQtWkTujBleIzs0zZKSSLrvPlKGDiWmaVNzKluB1AUFdiZOtDB1qgWbzX3iJZfE8cYbGTRtKhEtYWf8alLo6NE8fv55n1ZTcP16x/fffjuinZ6QoOrule+W61p7T+ruVZOh5BgNAXtuLpZp07QvCtybzNiIYgl3MIXRHKY2UVEwdWoqw4dLCrm4kHcEfCF5hACsHg/66quv6NKlC8XFxdStW5dNmzZp30M1fPENIQBDZR1jnysEoLHtE87SCQEYztYNU90OHClPCP7vD/8VVenBKiqwpMuwihZUacQyzIWA3Wql4IMPyJ02jaJ167wLHxOj1QdUdQLj2rY1l5I+SLtuXRH33JPF9u1Wt9mqg+Uzz6Ry//1JYd0oxQeYZEqAEMjOLiA/v5jatYU0CRCksk0VEbDb7RSsXKlF/dl2eU4bWM85PM7TbOAc7bTMzCjefjuDa66Rp4FVhD/sl/tC8ggBGHw3+PXXX+ncuTNHjx4lMTGRTz/9lIsvvjj4B1dwgi++IQRgSE1k2MOFADSsacJeMCEAw97E4a+gqh2oIgS1tOENsPF3UA1F/BmxMQ5CUOsy3BYuPBtUoxEZ5kBAffgr+uYbLNOnU/jxxxUKrToGp4wcSdxll4UVIZaba2fMmBxmz871qP/VV8fz2mvpNGgg0YDm8GqRUhAQBHxBQDWLUnX+Cj//3OP0Q9RiMmNZSi/sOFIWW7WK4f33MzntNKmV6gvGkT7HF5JHCMDgesmff/7JRRddxJ49e4iJidHSfm+88cbgHurD7r74hhCAPgAZgVOEAIxAoxtEZSEADWIIESNwCBw5Dt84CUGVNrzhN/8JwZgYOK9FaZfhi9pAenj2lAgc8AbZqWjTJnJV5+AlS6DYvT5eiZix7dppRGDCzTcTpQweJuPLLwvp0yeLnTvdc4JVxMvcuWnceWdiWJGfYWI6UUMQEAT8QMB2/DiWiRO1BlGe3uutxPAafZnJYxwn48TON92UwMKF6aSlhaZ+mR8qylSDIOALySNNQIJnLEX6qci/P/74Q7u7LFiwgHvuuSd4B/qxsy++IQSgH4BG0FQhACPI2AZTVQhAgxlExAk8Asey4duNzqYi62H9djzWS6vo5OhoOPcMZ4TgOdC5DWSmBV5W2TFwCFh37dKaheS98gp2i8XrxjHNmpH82GMk9e5NVFJ45IFnZ9sYNiyH+fPzPOp9880JvPRSOnXrygfgwHmc7CQICALVgYDdZiN/0SJyRo702gzq+7gLGVE0ma20LCfS+PEpPPFEijRHqg5DhdEZekieMFI/pKocOnSISy65hM2bN2tyPP/88zz66KMhlans4Xp8Q7oAG8Z8IRVECMCQwh/RhwsBGNHmj0zlj1tg9Ub4cr0jZfjHrWB1L51WITiqcHjb0x2EoKoj2Lkt1EyPTDyNrrXtyBFyX3pJixKxH/TeoS+qTh2SBw4k+ZFHiK5Z0+hq+STfJ58U0K/fcfbscY8GrFMninnz0rn55kSf9pJJgoAgIAiEGoGi9evJHjCAojVrPIqSW6MBQ7OeZJXtBqD041VqahSLFqVz443yfhdqG5rxfD0kjxn1NJrMWVlZXH755axfv14TberUqYwcOdJQYurxDSEADWXCkAkjBGDIoI/4g4UAjHgXEACyLbBmk4MMVHUEv98MxToIwdbNHCnDl54LF7eF2pmCrZEQsOflkffmm1p6sHXHDq+iRaWkkHT//SQPGUJMo0ZGUkGXLEeP2hgwIJvFi/M9rr/rrkTmzEmjRg2JBtQFsCwSBASBoCNgO3yYnDFjtIhuj0V+4+P5qtUA+mx4hFzK1+s47TRHvb9WraTeX9ANFaYH6CF5whSKalMrNzeXq666itWrV2tnjhkzhsmTJ1fb+b4epMc3hAD0Fd3wnicEYHjb18jaCQFoZOuIbCFBwJIHa//nbCryM6zbDIVF/otyZlMHGVjSWKRueASV+Q+EwVZonYNXrMAybRrFP/3kXbrYWBJvv52UESOIPessg2nhvzjLl+fz0EPHOXTIvUNO/frRWoMQ6YbpP66yQhAQBIKHgHq/VqRfztix2I8c8XiQvct1PHp4Ait+PsXt9Wuuidc6/WZmygOO4Fkp/HfWQ/KEPyrB07CwsJBu3brx2WefaYcMGjSI2bNnB+/AKuysxzeEAKwC4GG0VAjAMDKmyVQRAtBkBhNxqx+BvAL4zkkIqqYi3/0KBYX+y9GySSkZqEjBk2v7v4esCBwCWufgL77QiMBC5yXT2+7x113n6BzcubOpm2ccOGDjwQePs2pVgUdVH3ggiZkzU6U4fuDcTHYSBAQBnQgUrl5Ndv/+FG/Y4HEHVb9176OzuHZWJ3bvdi9zMHJkMk89lUpMjHzM0mkCWeZEQA/JI+DpR+CWW25hxYoV2gYqBViRf6r5h9c7Wnw8Z5xxhv4Dq7BSj28IAVgFwMNoqfxlCiNjmkwVIQBNZjARN/QI5Bc40oRVyrCqI6iiBRVJ6O84o1Fpl2FFCDas6+8OMj9QCBRt2EDu9OnkL1tWYUHIuPPPJ1l1Dr7xRqJUZxgTDkV8qnTg/v2zycpyjwZs0iSaBQsyuOSSeBNqJyILAoKA2RGw7t1LzogRWqMPjyM5mdQxY1hR52HuH1BIgcvfX9XL6Y03MujVS+r9md0XjCK/HpLHKLKbUY6KyD5P+jRu3JidO3eGRFU9viEEYEhMZbhDhQA0nEkiRiAhACPG1KJosBBQ6cE/bHE2FfkZVm+CXM/l1ioU4dqO8PrjcFKtYEkq+1aGgPXPP7E88wx5r70GeZ476Ko9Ys44g+Thw0m6+26iEhIq29aQr//zj1VrEPLpp57DWQcPTubpp1NJSpIriiENKEIJAmGGgL2wkNw5c7BMmIA9J8ejdgm9epH49HRGPpfJnDnu79GNG0ezalUmbdvGhRk6ok5VEMjJheRE0PvcTg/JUxV5I32tEICR7gGRob/criPDzkbUUghAI1pFZDI1AkXF8OMWZw3BDfDtRlCXT1/GKfXgw+nQ5nRfZsucYCFgO3SI3Oef177shw97PSb6pJNIHjyYpIceIjojI1jiBG1fFQ04f34eQ4fmYLG4RwM2bx7Dm29mcP758mE6aEaQjQUBQYCCzz4je+BArNu2eURD1WFNmzOH460voWfPY3zxhXth3ssui2PZskxq1zZndLa4QXAQ2LkXug2HbhfB0w/pO0MIQH24RcIqPb4hEYCR4BmV6ygEYOUYyYzgICAEYHBwlV0FgRMIFBfD+u2lTUW++QWOW7wDlJIES8bDDZ0FxFAjYLdYyHv9dSyzZmH76y+v4kSlpWkkYPKgQcQ0aBBqsf0+/48/iunT5zhff+3+oVpFTIwalcK4cSnEx8t1xW9wZYEgIAh4RcC6cyfZQ4dSsHKlxzlRGRmkTpxI0iOPsPFXOzfddIydO93r/Q0alMyMGanExcl7lLhbKQJrN8FNo+DAUcfPFoyF3tf5j5Aeksf/U2SFGRHQ4xtCAJrR0oGXWf5aBR5T2dE3BIQA9A0nmSUIBAwBqxU2/OYgBFVTEfXdlRBUtY6nPgzD74QK6h4HTCbZqGIE7MXFWn1AVSew+JdfvE+OiyPx7rtJeewxYlu2NBWsNpud557LZfToHLeaWkqRs8+OZeHCdNq0kWhAUxlWhBUEDIiAPS8Py/TpWKZOhXzPNTMS+/YlbcoUouvWZenSfPr0yXKrzKAqMMybl8699yYZUEsRKZQILP4U7ptSvmlbXCz8Zw50buufZHpIHv9OkNlmRUCPbwgBaFZrB1ZuIQADi6fs5jsCQgD6jpXMFASCgsDBo9B9NKze6L79vdfBvBGQIP0YgoK9v5uqlFnVMVgRgYX//W+FyxNuuEFrGBLfqZO/x4R0/pYtxfTuncUPPxS7yREXhxYJOHJkCrGxcnUJqaHkcEHAhAio99CCVau0qD+bl6L9se3bkz53LqrpktVqZ+zYHKZOda+jUb9+NCtXZtKhgzyUMKErBE1kmw3GvwaT3nA/omUT+GgGnOpnoL4ekidoCsrGhkJAj28IAWgoE4ZMGLlFhwz6iD9YCMCIdwEBwAgIFBTCA9Ng4Sfu0nRuA8ufhjo1jCCpyFCCQNEPP2CZMYOC5ctBfeLwMuIuvJAURQRef71pOgcXF9uZNs3ChAkWityzgunQIVarDdiiRaw4hCAgCAgCPiFQvHUr2YMGaQ9RPI2o2rVJmzqVxD59tPfKY8ds3HFHFp984t6oqGPHOJYvz+Dkk2N8OlsmRQYCqgHbvZPhXQ/P567qAMsmQ0aq/1joIXn8P0VWmBEBPb4hBKAZLR14mYUADDymsqNvCAgB6BtOMksQCDoCdjtMXwSj54H6d9nRtL6jOciZpwZdDDnATwSKf/+d3FmzyHvjDTzmzjr3iznzTFKfeIKEHj1MQwRu2FDEPfccZ9Mm92jAxESYMiWVgQOTiY6Wa4yfbiPTBYGIQcCWnY1l4kRyZ88GVRTXdURHk/Too6ROmEB0DceTrs2bi7V6f7/9ZnWbfv/9Scydm0ZCgrzvRIwT+aDo3kNw40j4YYv75P63wrMDIVbnMys9JI8PIsuUMEBAj28IARgGhg+ACvIXLAAgyha6EBACUBdsskgQCB4Cq76COyeAepJddqSnwDsT4dqOwTtbdtaPgHX/fvLmziX3hRewHzvmdaOYVq1IHTeOhFtvNQURWFBgZ+JEC1OnWjwGOl5ySRxvvJFB06YSiaPfe2SlIBB+CKh03/zFi8kZMQLb3r0eFYy7+GLSVLrv2WefeP399/O5++7jZGeXfxKmyBtF/D30UHL4gSUaVQmBDduh2wj450D5bWJiYM5geOSWKm2PHpKnaifKarMgoMc3hAA0i3WDK6cQgMHFV3b3joAQgOIdgoABEfh5G9ww0v0yqzqyPjMABvaU5iAGNJsmkop2yXv1VXKfeQbbP/94JwJVROCTT5qGCFy3TkUDZrF9u3tETmpqFLNmpaIic6Kka41RXVPkEgSqDYGiDRvI7t+fotWrPZ4Z3aABaTNnktCr14n3DNWIaPJkC+PGWdzW1K0bzXvvZdC5sxTErTYjmuSg9792PDS15JUXWD00fXcyXHV+1RXRQ/JU/VTZwQwI6PENIQDNYNngyygEYPAxlhM8IyAEoHiGIGBQBFQ6y02j4PvN7gI+eBPMHQqqo50MYyJgLyoi/+23tU6X1l9/rZgIVBGBt9xi+IjA3Fw7jz+eo3UL9jSuuSaeV19Np0EDiQY0pleKVIJAcBGwHTlCztix5L38sufaqHFxJA8bRsqYMUSnlhZjy862aeUGVq0qcBOwXbtYrdnHKafI+0pwrWeu3VWplJlLYOSL7mVTTlVlU2ZAq6aB0UkPyROYk2UXoyOgxzeEADS6VatHPiEAqwdnOcUdASEAxSsEAQMjkFcAfSbD0v+4C3l5O3j3KaiZbmAFRDTsNpvW9dIyYQLFGz20enZiFHvWWaQoIvDmmw1PBH75ZSH33pvFX3+5Nz/JzIzS0vTuvDNRogHF/wWBCEHAbrVqkc85Y8ZgP3zYo9bx115L2nPPEXv66eVe//33Ym688RibN7tHF991VyKvvJJOUpJ8VIoQV/JJzcIieHgGvP6R+3TVOG3FFKid6dNWPk3SQ/L4tLFMMj0CenxDCEDTmz0gCshftfIwNgYGAtcDpwDqceAOYBnwAuA59MA3U0QDLYAOzq/2gCo8UpJTcBnwpW9babOuAe517nUSoPY/CKwHlgDvqowwL/s1Af708aw3nef4ON3naUIA+gyVTBQEQoOAeso98XUY/5r7+aefAh/NgDMahUY2OdV3BE4QgePHU7xpk9eFZiECVcTOsGE5zJ/vknfl1Kx79wSefz6N+vUlasd3L5GZgoD5EChcs4bsAQMoXq+uvu4j5tRTSZs9m/iuXd0eCnz6aQG33ZbFsWPl6/2pchczZ6YyeHCyPEgwn0sEVeLDWXDL4/DVz+7H9L4OXh4BCQHOFNdD8gQVBNncMAjo8Q0hAA1jvpAKIgRgKfzdgEWAt5iW7U5i8HedFusNLKhgra8EYAKwGKisrOw3wA2Ap4rwQgDqNKIsEwQiEYGln8O9kyG/sLz2mWnw3lNwxXmRiIr5dNaIwJUrsSgi8H//804Etm7tiAjs3t3QEYGffFLAffcdZ+9e92ddqjbguHEpDBqUTFycXHXM560isSDgHQHrvn3kjBxJ/sKFniclJWmpvinDhhGl2oaXGapByMyZuYwalePWXKhmzSiWLs2gSxd11ZYhCJQisHUndB0OO3a7ozL1YRhxV3DqI+shecRukYGAHt8QAjAyfKMyLeVW7EDoHEBVC04CcoApwBfO/98G3O8EUpGA6qNudmXAenhdReu94fx5EaA+fakqWq2dP/OVAHwZeMC5RvWcmu6M+lN7qr1GAiqSUY1PnZGCruKUJQDHAu9XoM9RwMOfOx0IlF8iEYBVhlA2EASqDwFVD/DGkbDPJcNKdbp7YRio2oAyzIGARgSuWOFIDa6ICDz7bAcReNNNhiUCjxyxMXBgNosXu7SudpqiZcsYLS34iivkA705vFOkFAS8I6Dqm+bOnas9xLBne76KJ/TooTX5iGnkHp6uaon263ect992f79o3TqWVasyOPVUKXArPlgegc9/gFvHQJb6hFhmJCfConHQ/ZLgIaaH5AmeNLKzkRDQ4xtCABrJgqGTRQhAB/ZfARcDxc7va11MMtxJtKkfTwDG6zCZSv29APge2ACo24faZ5xzL18IwHrAHme6ryLmVAqxa6tHFcH4C6BIPjVUqvGPLvKWJQD7VBKZqENVn5YIAegTTDJJEDAOAv8cgG7DYcNv7jIN6gkz+0OsfHYyjsEqkSSciMDly/N56KHjHDpUPp2vBIIePRKYOTONRo0kLdg0DiqCCgJlECj4/HOyBw7EumWLR1xiWrUife5c4i+/3OPrf/1l5aabjrFhg7rqlx+33prAG2+kk5qqqunIEARKEZi3Evo/A1aXMpH1azuafZzbPLho6SF5giuR7G4UBPT4hhCARrFeaOUQAtBRk2+d0wwquu4hDyZRNwIVsdfSmVJbF1ARd1Ud/hKAKqW3JFrvGWCYFwFUHcPnnK+pf891mScEYFUtJ+sFgQhFwJIHd0+Eleqxicu45gJ4ZyJklDZYjFCUzKW2RgQuX07OhAkVdg2ObdPGERF4442GjAg8eNDGqFHZvP6652jA5GQYMyaVYcOSSUiQ64+5vFSkjVQErH/9RfawYdp7lKcRlZ5OyoQJJD/6KFFxcR7nqOZBPXocc3tAEBUFkyal8PjjKVLvL1IdzIvexcUwbC7MURXVXUa7FvDBNKhfJ/ig6SF5gi+VnGAEBPT4hhCARrBc6GWQGzA8DYx2mkJF6JWQga7WGeVMDVY/vxr4LADm85cAvNXZ3EMd3d/ZmMSTGKqJSUl/qseAWS6ThAAMgPFkC0EgUhGw2WDsKzDFQ/mlVk3hw+lwaoNIRce8emtE4HvvOYjAzZu9KhLbtm0pEag+QRtsrFtXxKOPHuenn9wjfZSop50Ww3PPpXHddZIWbDDTiTiCwAkE7Hl5WGbMwDJ1KuR5bviTeO+9pE6dSkw9lSDjPlS9vxdeyGPw4Gy3CK709CgWL86ga1d5HxC3K4/AcQvc9iR84poPBtx6Gbz5BKj03+oYekie6pBLzgg9Anp8QwjA0NvNCBIY7+Ze/ah8DXQGLIBq3O75EwN0BNY4xZtYJnW3KhL7SwCqGn8bnQf6GgGompu4NqsXArAqVpO1goAgoCHw1ifQbyoUusRD186EFU9D57YClBkRCAci0Gq189preYwencORI57Tgrt1i2f27DSp+WVGJxWZwxYBRdoVfPABOUOGYP3zT496xrZrR9rzzxN/gXpu73nk59u1BwGeIoKbN4/h/fczad5calaErSPpVOzPPY5SJ796cL0xvWHi/aA6RVfX0EPyVJdsck5oEdDjG0IAhtZmRjldCEA4CNR21s2r6ONqDeCI03AqILxnAIzoLwGojvwWuNApiyIEVU3AsiPNqUtT4A9n2rJL706tPmDJn7b1QAagavIVOGsKqg7CrzibiwRATY9bSA3AYCEr+woC1YjA6o3QfRQcdOk3HhcLr4yEe1U8sgxTImC3WksjAr3U3VKKxZ5zjiMi8IYbDJdGd/iwjSeeyGHevDzsHnjAhAQYOTJF+0pOliuRKR1VhA4bBIq3bSN70CAKP1U97NxHVK1apE6ZQlLfvkSpDlRexp49Vm6+OQsVDew6unaNZ9GiDDIyqpHFCRsLhbciazbBTSPd7zPxcfDqKLj72urXXw/JU/1SyomhQECPbwgBGApLGe/MSL/tqgDukryCj4GulZhI9X9KAb7DERFY1aGHADwD+D9AEXz7y3QBVpGLZwEjnK8dAlT0n5LVdZQlACvSQdVEHOQkBv3VVRF8FY2TgB/UhL///puGDSub7u/xMl8QEASqC4Gde6HrY56fmI+4E55+CCr4rFZdYso5OhHQiMB33yVn4kSvBfjV1hoROH48Cd26GY4IXL++iP79s1m71nP53saNo7VowBtvTDCc7DrNJssEAdMgYDt4kJxJk8ibNw+KPPyORkeT9PDDpE6cSHTNmhXqtXZtoUb+7dtnc5s3ZkwKEyemEB0d6R9/TOMa1Sboov+D+6Z4zmhYNRUuVG0XQzD0kDwhEFOODAECenxDCMAQGMqAR0b6X0BVvvWA0y5LgdsqsZEi3FQDENUQREXfVXXoIQDVmbWAh4GRgGu5fXVzUg1A1Jdrh+ASeRUB+DOwEvgSUD09VdX0k4GrgPvK7LsEuFOHop5zrjxsJASgDnRliSBgMCxRJ0MAACAASURBVARUzZzbn4R/eaiZc8NFsHg8pCYbTGgRxy8EThCBqkbg1q1e1xqVCLTZ7Lz1Vj4jRuRw4IA7OaAUuvrqeK0+oKQG+uUaMlkQ0IWAPTcXy7PPkjttGvbsbI97xHXuTNrcucS1aVPpGSrt/5FHjlPokveSkhLFggXp3HprNRVuq1RSmWAUBFRN4yfnw1Nvukukahp/NAOa1g+dtHpIntBJKydXJwJ6fEMIwOq0kHHPinQC8BRgl9M8bwH3VGIqNVet2aHqiAfArHoJwHud5F8LLzIoOV8AZgCeiLh4FawB5HpZfzrwOdDI+fqNwAd+6isEoJ+AyXRBwOwIWK0w/Hl4Vj1OcRltTnd0zWukYn9lmBoBRQTmL1uGRUUEVkQEnnsuqePHE9+1q6Gi6rKybIwfb2Hu3Fy3xgDKMKqR6NChyYwdm0JqqqQJmtpZRXhDImAvLiZvwQIs48Zh2+NaycYhcnT9+qTOmEHi7bdX+v5RVGTXGn28+KJ7s5CmTVW9vwxat/bcIdiQAIlQ1YJAbj70ngTvfeF+3DUXwDsTIcM1zKJaJCs9RA/JU80iynEhQkCPbwgBGCJjGezYSCcAzRgBqDr6DnX60SonyfcLYHXW+xsA9HG+vsJZq1C95u+4CFC1ANVQZOCVfm5QWU6vpAD7CahMFwTMgsD89+GRmVDs8s5TryaoVJoLVLECGaZHQCMCly51EIHbtnnVRxXs14jA66+v9IN8dYKyaVMRAwZk89VXntOCGzSIZtasNHr2lLTg6rSLnBW+CKgGH4UffUT2qFHeO40nJJA8eDApY8YQnabKWlc8VDRvjx7H+Ppr99/jLl3iWbo0g5o1hcivDMdIe33PQbhxJPzoIZh9YA+YNQBiDdAjRg/JE2m2DKS+x48f51//+hc//PADP/74I7t37+bgwYPk5eWRmZlJq1atuO6667jvvvuoVUsl5IVu6PENIQBDZy8jnRzpBKDZagCqcvolHX0XlCH6XH1KdSl+wvnDgcBcnU73K9DKmR6sah96zpnSt7k0AdGHm6wSBEyBwBc/wS2Pw1GXrK6EeHjjcbhdFRuQERYIaETgO+84iMDt201FBCpCYunSAoYNy2bPHs9/4i69NI65c9M56ywDfBoMC48RJSIRgaJ168gePpyib0qeLbugEBVF4t13kzppEjGNShJQKkbqp5+K6N79GH//7f67O2xYMlOnphIbG+kfdSLR2yrW+edt0G0E7FZtIMsMVat4zmB45BbjYKaH5DGO9OaT5PPPP+fKKyuPealduzaLFi3i6quvDpmSenxDCMCQmctQB8tfRXN1AVY1+25yepAi0HZ78SZFbKo/aypwfQNwjk6vU92Ob3WuVbUPXf5U6tzVsUwIwCrBJ4sFAeMj8Nvf0HU4bC8ptFBG5Cf7wri+EC2BGcY3pI8S+kwEnneeIyLwuusMExGYk2Nj0iQLzz6b67EHgfpgOHBgMuPGpUj3UB/9QaYJAgqB4t9/J+fxx7VGQt5G/NVXkzptmk91/kr2WLw4j379jpOvKliXGYmJMH9+OnfdlSQGEATcEFj1Fdw5AVT6b9mhUn3fnQxXdjAWaHpIHmNpYC5pFAHYt29fLrvsMtq1a8cpp5zCySefjM1mQ5Fn7733HitWrMBqtRIfH8/3339PGx/qkwYDBT2+IQRgMCxhvj2FAISvgc6ABchUdxUvZlRdf9c4X1MRduMCYG5/awCqQPXmzu6/lVXSUt1/z3dG7+m9BS0Dejj1FAIwAAaXLQSBSEPg6HHo+QR8rvX8Lj96XA4LxkKy1GUPK7dQ9b1ORAT+pnpMeR6x7ds7iMBrrzUMEbh1azEDB2bz73+7dBFwqlCvXjTTp6dy112J0kk0rLxWlAk0ArYDB0o7+xZ7vlqrhkGp06eT0KWLz8cXF9sZNSqHWbPcy1g3bBjNqlWZtGsn9f58BjRCJtrtMH0RjJ4H6t9lR7MGjmYfLVSLRIMNPSSPwVQwlTiK2ItRT/wqGKtWraJ79+7aDPVdEYKhGHp8QwjAUFjKeGcKAQhPA6OdprkAWOfFTKOAKc7XVLzvZwEwp78EoOo+fCZwGKhdyfk/AecCOUDlRVQ8b1ZyXgGg+ndKCnAAjC5bCAKRhkBRMQyeDS96uCOd1wLenwb1VUVWGWGFgEYEvv02lkmTsJqICFRpwatWFWhNBXbt8vxnr1OnOF54IY22bYVoCCunFWWqjIDdYint7JujrqDuI7pxY1KfesrR4MOPMPAjR2zcdluWR4K+c+c43n03g3r1Kv7wXmUFZQPTIVBYBA9OgwX/chf94rawYgrUyjCmWnpIHmNqEl5StWjRgm3btqFSgVWNwFAMPb4hBGAoLGW8M4UABBXsXUL6vQw85OmuAigyrCVwDFDRcJ6rhvtnY38JwA+Brs4jVG2+LV6OqwnsBVS3303A2f6Jpc2+EPjWue4/gO+PZ307TFKAfcNJZgkCYYPA8+/BoNlgc+FU6teGD2fAuSq+WUbYIXCCCFQ1An//3at+sR06OCICr7nGEBGBubl2pk61MH26hQL1GMxlKN7ioYeSmDQpVZoMhJ3XikL+IqB19n3jDUdn373qCuo+omrUIGXsWJIffZSohAS/jlBNe266KYs//nDva/fII0k8+2wa8fHyscYvUCNg8qFjcPNo+Ea1S3QZfa6HeSMg3sDPcfSQPBFg1pCr2L59e61JSGpqKtnZLsWuq0k6Pb4hBGA1Gcfgx8hfSoeBStKAVY7CxcBaF7sNB6Y7fzYBUMRd2XEpUNJE/k3gXh/t7i8B+ACgSEo1VARiN8A1T0lV1FIy3OWcp6IWH3eRR9URfB9wCYI/Mes0QJF+JVWYVTncQMc3CwHoo5PINEEgnBD4bB30GAvHVdGFMiMpAd56Em65LJy0FV3KIqARgUuWOCICKyAC484/nxRFBF59tSGIwB07ihkyJJsPP/ScFlyrVhRTpqRy331JkhYsLh9xCKiI2YIPPyRHdfbd4uW5tOrsO2gQKaNGEV2jht8YLV+eT+/ex7FYyl9b4+LgxRfT6NdPJanIEATKI7BlJ3R9DP7YU/7nUVEw9WEYfieofxt56CF5jKxPOMimIv/OOussiouLOe+887SOwaEYenxDCMBQWMp4Zxr8ba/aAFNNMlYDqlaeyldQacGK0FP/vw1QxJsaqr3heYAr1e8rAehKDCoi7kbn3tOAss3oVZhESQReCRAqok89w2rh/IGK7lMdftXP1CNRFRX4MKDqFaqxHzgLOOSCpLpBqf0Vqfc98A+g4htOBlR6833OBiJqmaoD2CsIlhACMAigypaCgBkQ8HYpV7JPfgAe7238S7kZcDaqjBoRuHixgwjcscOrmHEXXOAgAq+6yhBE4McfFzBoUDY7drhHICkl2reP5fnn0+nQwcDhJEZ1CpHLlAgUfvcdOaqz77eu11WnOqqz7z33kDpxos+dfcsCYbPZGTfOwuTJLk+MgJNOimb58gw6dVJXYxmCQHkE1MNGVX84yyULXdUcXjwObrrEHIjpIXnMoZm5pMzNzWX37t18+OGHTJ8+nf371UdstE7Ad955Z0iU0eMbQgCGxFSGO1QIwFKTqGi6RUC6Fysp8u96J3HmOsVXAtBbxJ2nI71FEjZ2Ru+1qcSb/gRudnYBdp3qqxwvAUOc5GCgnVcIwEAjKvsJAiZC4HCWIy3na9Wn3GXceRW8OhoS/csQM5H2IqpCwIxEYH6+nVmzLDz1lIW8PM92vO++RKZMSaNOHWlxLZ4enggUb9/u6Oy7fLlXBVUqv9bZ92w9VWggK8vGXXdl8dFH7pG3HTrEsmJFJg0aSL2/8PSwqmn14nIYOBusLs9qGtSBD6fDOSYqN+ILyaPKqqg7VaQMVa/Rj9KhumFZsGABffr08bp+1KhRPP300yF7QOmLb7gKLwSgbncIq4VCAJY3pyLXBjmJPkVQqVuHipR7F3gecG855lhfnQSgOk+FF6jIxFudjT5U+XxlyyPARmAVsNDZ2diTwyqyU0UJqi7BSmfVUCQFOA78AXwDvO6sexgshxcCMFjIyr6CgEkQUIW5H54Br3/kLnDHs2DlVKinKprKCGsENCJw0SJHROAf6k+Q5xHXsaMjIvDKK0N24S6RbNcuK0OHZrN8uYfigEBmZhSTJ6fy4INJxMbKVSusHTiClLPu349l4kTyXnkFvHX2PfdcR2ffK67Qjcy2bcXceOMxtm1zj7a9995EXnopncRE+b3SDXCYLlQuOXQOzH3PXUGzNhzzheQ5eBTqqhCVCBkHPoY6/lcS8BsdbwRg27ZteeWVV1B1AEM5fPENV/mEAAylxYxztvz1NI4tIk0SIQAjzeKiryDgAQG7HZ55G4a/AOrfZUejevDRTGjdTKCLBATsRUUOInDy5IqJwE6dHERgly4hJwL//e8CBg7MZutWz2nBbdqotOA0LrpI0hQjwYfDVUdbTg65zzxD7owZ2L119m3SxNHZ97bb/Ors64qZSrW/444sjh8v/wchJgat0Uf//kkh/70PVzubWS+V6tvrCfi0pK1jGWV6XA4LxoJK/zXb8IXkEQIwOFY9duwYijBTIy8vjx07drBs2TJWrlxJs2bNmD17Nl27lvTmDI4MFe3qi28IAVj9djHDiUIAmsFK4SmjEIDhaVfRShDQhcCH38Id4yHHJc46NRnengBdVV9yGRGBwAkiUEUE/qmqWXgecQYhAgsL7cyZk8uECRZycjxX2LjrrkSmT0/l5JMlZTEinDhMlNQ6+772Gpbx47Ht2+dRq6iaNR2dfR95xO/OvmU3LC62M22ahSeesLg9DFKNdt59N5PLLhMiPUxcK6Bq/LkHug6HzR7+XDzRB8bfVz0powFVyrmZLySPEIDBQN77nm+99Ra9e/fWHkS89tpr3Huvr70/AyunL74hBGBgMQ+X3YQADBdLmk8PIQDNZzORWBAIKgIbf4duw2GXo7byiaG69M14FIbeLs1BgmoAg22uEYFvveWICKyICLzwQkdE4BVXhDQyaPduKyNG5LBkSb5HJNPSohg/PoUBA5KJi5Prl8HcTcQpg4DW2ff998kZPRrr1rL96cpMSkws7eybmakbv6IiO2+9la/V1fzjD/dI2rZtY1m5MpMmTYQ81w1yGC/89hfoPhoOHSuvZHwcvP443KlaG5p4+ELyCAFY/Qbu1auXFg2YkpLCrl27qFmz+uvV+OIbQgBWv2+Y4US5gZrBSuEpoxCA4WlX82pVVADRMRATa14dwkDy/Ueg+yhY+z93Ze7rBi8+BupiLyNyENCIwIULyZk8GdvOnV4Vj7voIgcRePnlISUCv/qqkAEDstm0qdijrC1bxmjdgi+/XKKZIseLzaNp4dq1js6+q1d7Flp19u3d29HZ95RTdCumImfffDOPp5+2sHOnzeM+vXol8PrrGSQny8cV3UCH8cK3PoF+U0HVEy476mTCqmnQqbX5lfeF5JEmINVv5yVLlpzo/rt48WLuuOOOahfCF98QArDazWKKA+UvqinMFJZCCgEYlmY1sVJfvAFvDITTz4czOkHzC+GMCyA5w8RKmVP0/ALoNwUWf+Yu/yXnwPKnQXWBkxFZCPhMBF54Icn9+5PQvXuVUhKrgq5KZ3zxxTyeeCLHrZZZyb49eyYwc2Yap5wikU1VwVrWBgYBrbPv6NEUrFjhdcP4a68ldepU3Z191cYFBXbeeCOPKVMs7NrlmfhTUd9Tp6YyfHhySMn8wCAruwQaAUV4jX0Fpqh2hy7jzKaO2sFNTg70qaHZTw/JExpJI+vUf//731x11VWa0qoT8OjRo6sdAD2+IU1Aqt1MhjxQCEBDmiUihBICMCLMbCIl5/WD/75WXmD1KaThmQ4ysLmTFKx3quShVoNZVUMQdbkf87L7Yc0awIczoGWTahBEjjAcAvbCQvIWLtRSg21//eVVvqjatUnq04ek++8n9vTTQ6LH/v1WRo/O4Y03PKcFJyfD2LGpDB2aTEKCXMlCYqQIP1Tr7DthgqOzr9VzM5vYdu1Imz5di67VO/Lz7bz+uoP4++cfz8Sf2rtDh1imT0/jkkskQlYv1uG8zpIH90yCFV+6a3ltR3hnIqSnhA8Cekie8NHeuJqU7RA8Z84cBgwYUO3C6vENIQCr3UyGPFBum4Y0S0QIJQRgRJjZREoOaQW7t1QucEbd0ghBRQqe2g7iEipfJzN0IbD8C7h7IuQVlF+ekQrLJsFV5+vaVhaFAQIaEfjmm1ieeqpCIlCpqoiLpAcfJOGmm4iKr35i4bvvCnn00WzWr/ecFnz66THMmZPGNdfIe0kYuKYpVNA6+86a5ejsa7F4lDmmaVNSVGffXr10d/ZVxN/8+Xlag4/du70Tfx07xjFuXApXXRUvUX+m8KDqF3L3QbhhBKzf5n72oJ4wsz/EhlkVFz0kT/VbJvJOvP766/nXv/6lKf7FF19w6aWXVjsIenxDCMBqN5MhDxQC0JBmiQihhACMCDObREnLMehTQ5+wsfHQ7LwyacMdIbOevr1klUcEftrquPTvOVT+5ZgYmD0I+t8qwEUyAieIQBURuGtXhVBE161LYklUYLNm1Qqb1Wrn1VfzePzxHI4c8dwt+MYbE3j22TSaNpW04Go1TgQdplLpT3T23e/SccmJQ1StWqQ+8QRJDz2kO40+L8/Oyy/nMn16Lnv3eif+LrrIQfxdcYUQfxHkhn6rqkg/1STM0z3g+aHwUHe/tzTFAj0kjykUM6iQKrLvtttuIzEx0auEzz77LEOHDtVeb9q0KcpGMepCWs1Dj28IAVjNRjLocUIAGtQwESCWEIARYGRTqZh1ALatge1rYNtq2PEjFBfqU6Fes/Jpww1bQXS0vr1klYbAHvXkfyQoMtB1PHIzPDc4/J78i+n9Q0ARgap+We7LL1P0pYf8MJft4q+80hEVeMMNRMVVX2eZw4dtjBmTwyuv5KFS3V2H+twxcmSK9pWUJNc0/7xAZntDQOvsu2qVo7PvNg8hVGqh6uw7ZAgpI0cSnaGv0KrFUkr87d/vnfi7+GJF/KVy2WVxEvEnblshAirdV2UC5LpUUlCZAO89BV3ahy+Aekie8EUj+Jo1adKE7OxsbrnlFi666CKaNWtGamqq9rNNmzahGn6sdjZIio+P5+OPP6ZLly7BF8zDCXp8QwjAkJjKcIfKzdJwJokYgYQAjBhTm1RR1RX4z/WwdXUpKahIQj1DNRI5o6MzSrCTo9FIYqqenSJ6jbr8954E733hDoP6APDuZMhMi2iIRHknAsXbtmk1zfIWLMB+5EiFuETXq0di374k338/KuWxusZPPxVpacHr1rm0sHQK0KRJNLNnp3HDDQlCkFSXUcL0nMI1axydfdes8ayh6ux7772Ozr4N1fXM/5GTY+Oll/KYMcPCwYOeI1zVrorwU8Sf1PjzH+NIW6EekEx7C0bPc9dc1QL+aAa0CPNawHpInkjzk0DqqwjAvyqoLVxyVsOGDXn99de58sorA3m8X3vp8Q0hAP2COGwnCwEYtqY1vGJCABreRCJgOQTUTXT/Hw4ysIQU/Pt/eAzhqQy6qGho0sbZaVg1F+kEtRtJc5HKcANU97/xr8GkN9wnN2/k6P53mr7Prz6cLlPMhoA9P5/85cvJU1GB33xTsfhRUcRfdZUjKrBr12qJCrTZ7CxcmM+IEdleSZNrronnuefSOOOMMCtuZTZnMqG8igjXOvuuXOlV+vjrrnN09m3dWpeG2dk2Xnghj1mzLBw65J3469IlniefTKFz5+qvwalLMVkUUgQKCuGBabDwE3cxLjkHlj8NtfQFqYZUL38P10Py+HuGzC9FYMeOHXz++edaXb8tW7awf/9+Dh8+TFJSEnXr1qVt27Z07dqVnj17kqy6eIVw6PENIQBDaDADHS0EoIGMEWGiCAEYYQYPS3VV7cDf1pVGCG7/Dgo8F1OvVP+aDRwRgi0udHxv0hZiqy8tsVL5DDZhyWfQ92lQHxLKjhppsGIKXHquwQQWcUKOQPHmzeTNn681DrEfPVqhPNEnn0xS375aB+GYxo2DLvuxYzbGjcvh+efzNJLbdagM5WHDkrWOwSkpcnULukFMfoB13z5HZ9/587139j3vPNJmzCBeZ/H648dtzJ2byzPP5HqtaalgvPpqB/HXqZMQfyZ3q2oT/+BRuPlx+PYX9yP7doWXhkN8hFyP9JA81WYoOSikCOjxDSEAQ2oywxwut0jDmCLiBBEC0OAmVwFvUfIO4Z+VrMWwa1P5WoIH//Jvj5LZ8UlwWocypGBHSK2pb68wXfXd/+CmUbDfJcMzNsbxAaHfDWGquKhVJQTseXnkv/eeIyrQWcvH64YqKvCaaxxRgddfT1SQW0xu3FjEgAHZfP2157Tghg2jmTUrjR49JC24Sk4Qpott2dmOzr4zZ1bY2Td1yhQSevTQ1dlXkdWK+Hv22VyOHvUe8XfttQ7i74ILhPgLU3cLilqb/4Suw+HPPeW3V/fR6Y/CsNsj626qh+QJimFkU8MhoMc3hAA0nBlDIpB8vA8J7HIoIASgwd1g7kZ4fStcWh8ubQCdT4aa3ptiGVybEIp3ZLeDECxpMKLqCiqiUM9o0NKRLlwSKXjyGZF1E/aA2a590G0EbPzd/cUhvWBGfwhBczY91pU1IUCg+H//I/eVV8hfuBB7VlaFEkQ3aEDSffdpXzGNGgVNWtWs4e2383nssRyv3VMvvzyeuXPTaNVK0oKDZggTbax19n31VSzjx2M74LlWrdbZ98knHZ194/0n5Y4etfHcc7nMnp1LVpZ34q9rV0X8pdK+fYSEaJnIT4wu6qffQc8n4LhLIkVKEiwZDzd0NroGgZdPD8kTeClkRyMioMc3hAA0oiWrXyYhAKsfcznRgYAQgAb3hO6fwKo/S4VUbxZtasMlihCsDxfXF0JQlwkLch0dhlWn4RJSMKfiJgVez0mrVdpYRJGCp7UHFTkYYSMnF+4cDx9866749Z1gyQRIT4kwUERdvxCw5+aS/+67jqjAtWsrXhsdTfy115L84IOo+mlRQWKYVW21SZMsWqRVsYdnBioYceDAZMaNSyE9XbqM+2XwMJmsdfZdudLR2Xf7ds9aJSWRMmQIySNG6Orse+SITfPBOXNyOX7cO/F3440JPPFECu3aCfEXJu5VrWo8/x4Mmu2o81t2NKwLH06HtmdUqziGOUwPyWMY4UWQoCKgxzeEAAyqSUyzuRCApjFV2AkqBKCBTWqzQ53X4UiBdyHVm8fZtRzRgUIIVsGYKtd6zzZnlKCz4/Durfo2jImFpuc6mouURArWrK9vL5OtslodnQJnLHYX/KxT4cMZ0ORkkykl4oYEgaJNmzQiMP+tt7AfP16hDNENG5LUr58jKlBn99TKlNy6tVhLC/78c5eCl86F9epFc889ifTokch558VKx+DKAA2T1wtXr3Z09vVGWEdHk9inD6kTJhDToIHfWh86ZOOZZyzMnZtHTo534q979wQt1bdtWyH+/AZZFmgPNwY/By8sdwejfUt4fxqcXDtygdJD8kQuWpGluR7fEAIwsnzEm7ZCAIofhAoBIQBDhbwP5248BG2W+TCxzBQhBP3Dq8LZ2Ydh+9pSUvD376EoX98BdZo4yMASUrBRa4iO0beXCVa98RE8OB2KXCKm6mTCyqlw4dkmUEJENAQCdouF/KVLyXvlFYrWratYpuhorXOwqhUYf/XVAY8KVJFeK1YUMGRINn//7aFLiFO6Jk2i6dkzUfs691whAw3hSAEWonjrVnJGjaLg/fe97hx//fWkTZ1K7Fln+X36wYM2raOvakhjsXgn/m691RHxd/bZQvz5DbIs0BDIyoGeY+Gz790B6XkFLBgLSQmRDZYekieyEYsc7fX4hhCAkeMfFWkqBKD4QagQEAIwVMj7cG6hFb4/AF/uhi/3wOq9kG/1YaHLFC1C0FlDUKUM15Iagv6DqFYUF8LODaW1BFX68FGXCtm+7pyYCqdfUEoKnn4+JGf4utoU877ZAN1Hw2GXkm6qa+Cro+Dua02hhghpIASKNmzQiMD8RYuwZ2dXKFl0o0alUYH1AxuBm5trZ8oUC9OnWyj0HBB4QrZTT43RmoUoMvCcc4QMNJA76RLFunevo7Pvq6967+zbvr2js+8ll/h9xv79VmbOzOXFF3PJzfW8XDVi6NkzQetGfdZZUn/Sb5BlwQkE/tjtaPaxZac7KE/2hXF9IVoqG6CH5BE3iwwE9PiGEICR4RuVaSkEYGUIyevBQkAIwGAhG4R9C6zwgxCCQUBW55YqbfjQrvJpwzt/Abv3yCCvJ6lPdO26wT3PwEnNdApkvGXqw4VqDqI6CrqO0ffA5Afkw4XxrGZ8iWw5OeS/846WIlz8448VCxwTQ0K3bo6owCuvDGhU4O+/FzN4cDYff1wJC+iUsFmzGI24UWnCbdsKGWh8TyuVUOvsO3Mmlpkz8cbMxZx6Kic6+6r3dD/Gvn1Wpk/PZd68XPLyPC9URMxttyUyZkyKNJ7xA1uZ6hkBbw/pEuLh9cfhjqsEuRIE9JA8oURPBRAU2iBVAoODbgY9viEEYNDNYooD/LslmEIlEdIkCAgBaBJDeRLTlRBcsw/ydDS2VRGCZZuK1I68/hWB84K8bFCpwlrHYVVLcC3kVVy/rNzhcYlwy1i4YTjE+t8hMnCKBG4nlV5025Pwf9+57zm4FzwzMOKbKAcO7AjcqWj9ekdU4OLF2HNyKkQgunFjku6/n6S+fYk5OXDFKH/5pYhlywpYtiyf33/3LUz7tNMUGajShBM4+2whA43ouirlWzX1KPjXv8idOtV7Z9/atR2dfR980O/Ovnv2OIi/l1/OJd9LhQlF/N1xRyJjx6bQvLlE/BnRV8wm05v/gvunupfpqFsDVk2Fjq3NplFw5dVD8gRXIu+7ZxXAn84A+TNrQFz4VpsJFcTlztXjG0IAZrkHhgAAIABJREFUGsJ0IRdCCMCQmyBiBRACMIxMr574lYsQ1EkItq5ZvqmIEIJVcBKbFf7ZXD5teP+Oyjds0BLunwetLq58rglmqALjw+bCnHfdhX3qQXi8twmUEBENjYCK0Mp/+21HVOD69RXLGhtLwg03OKICu3QhKkA5boow+uWXYo0IVITgjh2+kYFnnKHShB1kYOvWQgaGytHsVivFv/xC0TffUPjNN9p324ED3sVRnX2HDnV09k1P90vsf/6xMm2ahfnz8yjw0uhLNba+6y5HxN/ppwvx5xfAMtkjAipxYczLMGWh+8uqUddHM6Bx4J6NhI0V9JA81a28ahy42wL7y5QOSI+H0zPkIWswbaHHN4QADKZFzLO3EIDmsVW4SSoEYLhZtIw+Qgga1LjH9sN2FSHojBL84ydHfUFP49I+cPcMSKtlUGX8E2veSuj/jHvprJdHwAM3+beXzBYEvCFQ9OOPjg7Cb7+NaiJS0VBpmyoqUHVqjalXL2CgKjLw55+LefddBxn4xx++kYHNmzsiA1XdQFXfLcrPVNKAKRABG9kLCij64QeKvv7aQfitWVNpx2kNluhoLYo0Zfx4vzv77tplZepUC6+9lue1fqQi/nr3TuTxx1No1kyIvwhwxWpTcezL8NSb7sdd3wnengBpKdUmiqkO0kPyVKeC+cXwx3HI9ZAFdEoq1EuuTmki6yw9viEEYGT5iDdthQAUPwgVAkIAhgr5EJwbKELwLJcIwTqSMlw1a+Yeh2VPwidzPdcPTKsNd8+ES+4Ji8e4iz+FuyaUh0wFYC2bBLdcVjUoZbUgUBYB2/Hj5C9Z4ogK3LChYnBUVOBNNzmiAi+/PGBRgepQRQauX++IDHz33QL+/NM3MrBFi5I04UTOPFOIoKp6t4oSVSSfFuH39dcUff89XsPvvBwW360baVOmEHvmmX6J89dfVq1xzOuv51FU5HlpbCz06ZPE6NEpNG0qeXt+ASyTK0XgpRXwyEz3aUN6wYz+oIhnGZ4R0EPyVBeWh/Phr2xQEYCuIzMBmqRBrDRyCZo59PiGEIBBM4epNhYC0FTmCithhQAMK3P6p4wiBH9UTUX2ODoNr97n+elhZbsKIVgZQj6+riIBX3kQ1HdP48xLod9L0KCFjxsad9pzS2Hwc+XlU92BP5kFl59nXLlFMnMioAi44h9+IFdFBb7zjtcmDiXaxZx2mqNW4L33El23bkCVVrL89FNJmnA+f/3lW9OgVq1K0oQTpQGEjxaxHTx4IpVXRfgV//wz2HzDu+wR0Q0aaB19NXL4Yv/KMiiy9+mnLSxYkIcqheBpxMVB374O4q9xY2FhfDSvTPMDgZVfwS2Pq4cRjkXdEj9gm7UlQ4eczoMSfV8pknpInko3reIEqw3+zoFDHmqHKmJBRf6pB/QSRF5FoCtZrsc3hAAMrk3MsrsQgGaxVPjJKQRg+NlUt0aBJAS1piINHM1FJELQD5OomoGfvgjvjAHVUMR1xMTBTaOg++MQn+jHxsab6ikVKTUZvpgL57U0nrwiUXggYMvKIn/RIkdU4KZNFSsVF0dC9+4kP/ggcZddFvB0XEUG/vBDSZpwPrt2+UZOnXlmSZpwIi1bSmRgiRGtf/3lIPycKb3WrVt1OW3M6acTd/HFxHfuTFznzsQ0beq37XfsKOappywsXJiP1UvAZ3w89OuXxKhRKZxyihB/uowliypF4NtfoMsgKCiEeAqYljGSwWnPcajGOdR+fi3EJVS6R6RP0EPyBBOz3CJHym++h/eWxBg4NR2SpQNwME1wYm89viEEYLWYxvCHCAFoeBOFrYBCAIataauuWKAIwTNVyrAQgv4Z5MhuWDAYvnvP87qTTnNEA57dxb99DTRbRSI8PANeXlVeqNqZ8O1L0LyxgYQVUcIOAUW+Fa1b56gVuHQp5OVVqKMihZIeeMARFVi7dsDxUPJ8/31JmnA+f//tGxmo6gSq5iGqbmAkdYjVOvRu2VIa4ff119j+/tt/u0RFEdumjUb0qei+uIsuIuakk/zfx7nit98cxN+iRd6Jv4QEeOCBJEaMSKFhQyH+dIMtCytFYPOfcNFDcDQbTo3ZwdJavTgvvkyWwTUDoO+cSveJ9Al6SJ5gYKbuTQfzHZF/JdGcZc+plQiNUiFGUn6DAb/HPfX4hhCA1WYeQx8kBKChzRPWwgkBGNbmDaxyihD86aAjXVilDX+7V1/KcFlC8OKToa4UJ/ZuqPUfw2uPwsG/PM+56A645xnIDFzzgsB6TcW7qciY256E974oP69RPVj9MjQMbPZldaomZ5kIAduxY+S/9ZaWImz99deKJY+PJ/GWW7R0UBUlFowmHTabIgOLtOYhqonIP//4RgaefXas1jxEkYFnnBFekYH24mKtjuOJCL9vv8V+6JD/XhYXR1z79qURfp06EZ2Z6f8+Liu2bnUQf0uW5HvNMk5MhAcfTGbEiGTq1xfir8qgywYVIrD7IHR8AP7eDz2SljG/xv1kRB93XzN5DZzRUdCsAAE9JE+gAS22wc5sOOaha3h0FDROA0UAyqheBPT4hhCA1Wsjo54mBKBRLRP+cgkBGP42DpqGgSIEW9VwpAurKEGVMiyEoIvJ8i3w3kT4WLXP9VBEKiUT7pgKV9yvdac021BpSdc/Bv/5sbzkrZrC1y9CrQyzaSTymhUBLSpwzRryXnmF/GXLIN9DcaUyysW0aOGICrznHqJrBadTtyIDv/uuSGseosjA3bt9IwPbtFGRgY5uwqefbj4y0J6XpzXp0Ai/kg69OTl+u1ZUSgpxnTqVRvh16EBUUuA6V23eXMzkyRbeeSffY0SOElgd9/DDyQwfnsxJJwnx57cRZYHfCGTlQOeH4bcdeTyTOZSHU+e576FSf+99Dro8IIXiKkFYD8njt9EqWJBT6Ej5LfTw9p8c60j5TTTf23wgIQrZXnp8QwjAkJnLUAcLAWgoc0SUMEIARpS5g6tskWoqEoAIwRJC8JGzQEULynAisGuTo0nI9rWeIVFP8B94GRq1Nh1k2Ra4fAD86FKy64Iz4fM5kBK4z+umw0YEDg0CtiNHSqMCt2ypWIiEBBKuvproJk209NFo1686dYhSLV6rOBQZuHatigzM5733CtizxzcysG3bUjLwtNOqLkcV1fC4XNVmVOSr1p1XEX4//ACFhX4fFVWrFvEXXXQiwi/2nHMCgr2rIP/7XzGTJuVoxKynVDw1PzkZHn00mWHDkqlXT4g/v40pC3QhoB6qXTMU9m7cytKavWgTv9F9n/rNYfBSaNJG1xmRtkgPyRMIjNR7y75c2G3xvFu9ZGiQAioCUEZoENDjG0IAhsZWRjtVfm2NZpHIkUcIwMixdbVrqghBLWXY2WVYpQxbvHRB9CRcXDS8fAn0kYYQpfCoDpb/fRUWjwTLMXfYomOg61C4dRwkplS7zaty4MGjjoiFbbvK73L1+fDBdFBdgmUIAtWNgBYV+O23jlqB770HBR7yryoTKiqKqNq1PZODJ51U7udRNWr4lFasyMA1a0rJwL17fSMDzz1XpQk7IgObNQsdGWjdv18j+kpSeos3btTXobdhQ0ftPmcNPxWVGRXESOiNG4uYNMmiEbDeRkpKFP37JzFsWAp16pgvKrsyd5bXjYuAuiLcPg7i177FS5kPkxrtgTm6+G7o9yIkphpXEYNJpofkqaoKKsvmz2zI9vAcJDYamqRBpvRvqSrMVV6vxzeEAKwy7GGxgRCAYWFGUyohBKApzWZOofUSgo+1hakXSFHjclY/th8WDoVvl3h2hjqNoe/z0K6rqZxl1z7o9CCo2kVlx+1XwqJxpsxwNhX+ImzFCNgOHyZv4UKNDLRu2xYcuOLiiK5X70QUoceIQhVhqOakOj7AW612Vq9WacKOyMB9+3wjA9u1K4kMTKRp0+BFqCkS1bZzpxbdV5LSa92+XRd+Mc2blxJ+nTsT3bixT4SprsPKLNqwoYiJEy2sXOmd+EtLi2LAgGSGDEmmdm0h/qqKuaz3H4FRz1ho/p/+9ElZ4L44IRnuewEuvdf/jSN8hR6SpyqQZRU4yD9V9891pMVB03SID95bdlVEj7i1enxDCMCIcxOPCgsBKH4QKgSEAAwV8nIu/hCC3ZrA4i6QFi/AlUNg47/h1Udg3++egTn/FujzHNRsYBrgVNdCFQl4xKVWef9bYc4QKVVkGkOGsaBaVODXXzuiApcv15WqGgh4VH0713TjqLr12JFdhy831+T9tTXYdrQ2h6hNERW/ebZvXxIZmEiTJlX7ZGm32bBu3qyRfSUpvbbdu/1XOTqa2LZtie/cWYvw0zr01gtMw6OiIjvHjtk5etTG0aMl38v+u/Q1Raiq1GtvIz09ikGDkhk8OJmaNYX489/QsiIQCLz50iY6fNaTlnEutTTU5qecBUOWQsNWgTgq4vbQQ/LoAclmd6T77s/1vLp+CpycLPcgPdgGa40e3xACMFjWMNe+QgCay17hJK0QgOFkTZProgjB9Yfgza3wkodGnK1rwofXOzqdySiDQGE+rHwaVk0Fq4cPqUlp0GsyXPMoqBRhE4x1v8IVA8GSV17YCf3gyb4mUEBEjBgEbIcOkb9qFdYdO7Dt349t377Sr/37daW1BgO8Y1E12G+vwwHqal8HKf132Z8doSbtO8RrDURuvTWRxo0rf8+wFxVRvH79iei+QtWh98gR/9WIjyeuQ4cTEX6qeUd0errXfQoLXQk83/6viL+cHLv/8rmsyMyM0ki/gQOTqVFDiL8qAyob6EPAbuf7ua/S+puBJEV5aFykGoTdOxtUBKAMXQjoIXn8PSi/2NHoI9dDqZz4aEfUnzwEhxEjRjBjxowT8H7xxRdceuml/sIdsPl6fEMIwIDBb+qNhAA0tflMLbwQgKY2X/gK/9pmeOhr9/SHukmw8hrodHL46q5bs91bYf5DsPkrz1uc2s7RJER9N8H4bB10HQ5FLpfhFx+Dh282gQIiYsQjYLdasR8+jLUsKVjybydZWPKaLsIsCAgXE6NFDJaQhPY6J3HS2fVp0bkBtVrWd0Qc1quHbc+eE/X7CteuhVwvISsVyBiVmkpMxwspPPdCss/szKEG53IkN8ElKk9F6nmKzLPpOTIgiNWoEaWl+SriLyNDiL+AgCqb6EMg9zj7pj7ISVvfcVtfFJtK3COvwEW369tbVp1AQA/J4w98h/Phr2xQEYCuQ9X5U/X+VN2/SB+//PIL5513HsXFpRdDIQAj3SvMq78QgOa1ndklFwLQ7BYMY/m/2g03/x8ccSm5pJ6EvnoZ3N08jJXXq5pqGffVQnhrGGQfdt8lKhqu6Q+9JkGy98gavccHet3Szx0Fzct22YyKgncmQs8rAn2a7CcIhA4Be0EBtgMHTkQPniANXaIKrXv36iLbQqdZ6cnZ8bX4NfUCfoq7gNXWC1iX3RJLQegakfiLSc2aUVpjD9XgIz1dPo37i5/MDzACf/xEwfReJBzZ4bbx/oxzqDdxKZx8eoAPjcztgkUAWm3wdw4c8hC4qciBU1KhTpKk/Cqvs9lsXHDBBfzwww/UrVuXAwcOaM4oBGBk/k6Gg9ZCAIaDFc2pgxCA5rRbxEi9Iwu6fgxbPTS8HX0uTD4fouUd1N0fFPm3aAR88bpnX6lRH/rOhQ7dDX+zfHE5PDqrvBpxsfDRDLjq/Ij5VRBFBYETCNhycsqnGquoQpeIwpJUZMpESlQ3hH/TkO+4gHWcr33/ndMA471hJyWhpfCqlF71XUX4lf8ezSmnRHPllfGkpQnxV91+JOe5IKCeiH0yF/tbjxHloezHVycN4OKZM4iKlxaxgfKdYBCAuUWOlN98q7uUiTFwajokxwVKA/PvM3v2bIYMGUKLFi3o3r07U6ZMEQLQ/GaNaA2MdxuKaHNElPJCAEaUuc2prOqG1usz+PRvd/m7N4W3ukCKXJI8G3fz14604N1bPL9+ble473lQXYMNPCa8BuNfKy9gShL8Zw6cf6aBBRfRBIEQIqCacdiPHtXIQm8RhSWv2Q8dKh9qq0Pu7ZyuEX0lpN9u1BWjekZysoPE80zgeSP2osjMjCYxUa7h1WMlOaXKCOQcgZfugx9WuW111JbJqw1eZ+gz3YmpvHRnlUWJpA0CSQAq/vZgviPyr2x2QwmetRKhUSrEyLOGEy72999/06pVK3JycrSIvy+//JIJEyYIARhJv4RhqKvcPMLQqCZRSQhAkxgq0sUstsGw1TBnkzsSbWvDB9fCKdIcxLObFBfCBzNh+SQo8pBnogqD9xgP1w2GWGMyqeqSPPBZeP698irWTIdv50HLJpH+GyL6CwJVQ0A18rAdPHgisrBozz5+W72bnd/vJuu3vWQWHaAOB7UWIulkYyWaTbQ+QfZ9TwcOU7tKQqSmKqLOO1nnSu4p8q5kfny8XKWrBL4sNj4C29fC7Nvg0C43Wb8rOJ/ZJ7/DgueakCiBfwG3ZaAIQHWX3ZkNx1xK2yiBVTaLanKnCEAZ5RHo1q0bH330Eb1792bBggWMHz9eCEBxEtMjILcW05vQtAoIAWha00Wm4PP+B/2/AatLoeSTkuH9a6FDvcjExSet9+2A1x6BXz7zPL1Ra0eTkDM6+rRddU+y2eDO8fDO5+VPblgXVs+DRidVt0RyniAQGQiobrv//W8hy5bls3JlAfnHcrERTSHuTEN6uncSzz3FtpTAU6/Fxcl1ODI8SrT0CwH1x+/DmfD242Bzzxednj2cJTWe4suX48iUB6F+Qevr5EAQgDmFjpTfQpv7qcmxjpTfRPOURPUVuirPW7ZsGb169aJmzZps3bqVOnXqCAFYZVRlAyMgIDceI1ghMmUQAjAy7W5qrf/zD9z6qfsTVFUz5Y3L4Tapee3dviqUbs1SWDAYsva7z1MdNq54AO6YAqk1DOcnhUVwwwj4dF150Zo3ckQC1s40nMgikCAQVggoMnD16iIOHrS51czLyIgiNlautGFlcFEmtAgcPwjP3wMb/s9NjoPW2txzdCH/S7+Wta+AehgmIzgIVIUAVNeufbmw2+JZtnrJ0CBF6ll7QufYsWO0bNmSffv2MX/+fPr166dNkwjA4Pi57Fq9CMhtqXrxltNKERACULzBlAhsP+ZoDvJblrv4T54H49sbvrdFaHG3HHNEE/x7nuciNBl1ofezcOHthgPSkgdXDIR1v5aHsH1LR03AtJTQQiunCwKCgCAgCAgCVUZg81fw3B1wdI/bVl8VXMwdh5eQm9KAb1+CM0+t8mmyQQUI+EIA2uxw2KXKSqEVduVATpH75jFRjlp/GSZN2VapysFuwvfAAw9oxF+nTp349ttviVIPqYUAlN/VMEFACMAwMaQJ1RAC0IRGE5EdCBzNd0QC/ne3OyI9m8GCKyBJ0ikqdpft38H8B+GvjZ7nnX0l9HsRTlLdO40zDmdB54dhy87yMnVp7+gOnBBvHFlFEkFAEBAEBAFBwGcEVJrviqfg3QlgL58varNHMSn7CSYdf4LY+Fg+exYuPsfnnWWiTgR8IQAP5kHdN3QeYMJlB/pAnaTgCa4Iv4svvpiYmBjWr19P69atTxwmEYDBw112rj4EhACsPqzlpPIICAEoHmFqBIqsMOAbeHmzuxrt68Kqa6G+RIT9P3vnAR1V1cTxXzaNJEDoiEgXRQSx0gQBRaQIqFixgI2mFFHsXamCdEUsWFBUQFEpikgVUCxYAAUERJr0mpCe70x247fv7Ybsvu3JzDmchOy9c+f+5+7ue/835dQ+zsqE+eNh5jOQnuo6NjYern0Cuj4M8nuYyM59cGlv+MeUyXzD5TDjObQLYpj4Sc1QBBQBRUAR8BCBw3tgwq2wfonLhD3Zp3HboeksTr8CCYSa+SJ0a+OhXh3mEwJKALrCF0gCMCMjg/PPP58//viDIUOGMGrUKIMBSgD6dJx1cpggoARgmDiiGJqhBGAxdHpR27LUV5n0OwxaCZKC4SxSV+XzjnBhxaK26wDsZ/92eKs//PSFe+VV68G9U6B+qwAsbk3lxu3Qoi8cOGKc3+daeOWhsMtetrZJnaUIKAKKgCJQ9BGQBl0TbwOp+2eShWlXcvuh99iXY+90NnEw3H990YckXHaoBGBwCcB8gq969eps2LCBpCTjk3wlAMPlnaF2+IKAEoC+oKdzfUFACUBf0NO5YYXAl//ATQvhWIbRLEkDfu8K6FYnrMwNT2OETf1hjp0IPOQmt1qsbt0TbnsJSlcIiz38+Ae06Q8nTMGLT90Jz98bFiaqEYqAIqAIKAKKgHsEsrPgo6dhznCX17Nyo3nq2AuMPP4IudjyXn/kNhjRT8EMJgKeEIAbD0O9GcG0KrRrBSoCUDr9NmrUCIkC/Oyzz+jSpYvLRpUADK3vdXX/IKAEoH9wVC3eI6AEoPeY6YwwRmDDIeg8H7YeczXyxcbw+EUaFeaR+04et9+QLJjgUoMob36p8nYSUMhAR1Fmj/QGaNA3P0LHB0G6BDvL+EEw4MYALapqFQFFQBFQBBQBXxA4sAPG3wIbV7po2Z17Bjfun8HKjBb/vXZ7e3jnqbD42vVl1xE391QEYHYO7DgB+07CUdMDaLnBlzI0FUoUPZ8FqglI7969mTp1KrVr12bo0KFuz8qsWbOYPXt23mtPPfUU9evXz/u9c+fOLtGCgT5snpDDZht27txJtWrV8v8sv+wMtJ2qP/wQUAIw/HxSXCxSArC4eLoY7fPASej2FSx3bZzHrXXhjTZQQpuDeHYitv5sbxKy5Uf348+5zJ4WfMY5nukL4KhZi+HGp1ybGr//LHRvF8CFVbUioAgoAoqAIuAtAj9+Aa/0hBOHXGYuj76aa3e8zaGc8v+91q4xzB0NsXr94i3SPo8viORJzbQ/cE7Ldl2iRDTULg2JsT4vX6wU9OzZk3feecfSnrdt20bNmjUtzbU6SQlAq8jpPCUA9QyECgElAEOFvK4bUAQysqHvMnjrT9dlmla2NwepnBhQE4qOculIuPBVmPE4SGSgWaJj7Q1CrnsC4gLYEs4DRKfOgd7GWtHERMPno6BDMw8U6BBFQBFQBBQBRSCQCGRlwPuPwryxLqvkRscyteRI+qwfBPz/9vDCs2HpJCilTc0C6ZkCdZtJHqmWsj/NHvknv5tFouOql4Roe9a2ihcIKAHoBVg6NKIRUAIwot0X0cYrARjR7lPjT4WAXJSN/RUeWgXm67NqJeGLjtAoPMrYRYYjD+2GtwfBdzPd21u5DtzzCjQKbbjd0LfhyalGExPiYdEEaN4wMqBWKxUBRUARUASKIAJ7t8K4m9xG1edWqsXzpT7k2WWNDRuvdTqseg1O+38wYBEEJry35EwA1qpTl7+Pw5F0V5ttUVCjFAgBqBI4BLQGYOCwVc3BQ0AJwOBhrSsZEVACUE9EkUdg7t9wy9dwwlQfLikGPrgSutQq8hD4d4M/z4c374P9f7vXe+kt0ONlKHOaf9f1UJsQvw+Mh/EfGyeUKQUrXoEG2gzGQyR1mCKgCCgCioDfEFg9E6bcAyfdFCluej3Px77OMzPKGJarUMZO/tX9r1yY36xRRV4gkE8ARtliyChfl4wc18mJMfaUXy0x4wWwFocqAWgROJ0WVggoARhW7ihWxigBWKzcXXw3+/tBe3OQ7aYMVvnwHdEMhpxf9Ao0B9Tb6akw+wX4YjRIB0OzJCZD9xHQthfYgp8Dk5MDPV6A6V8ZDTu9Aqx8DWpWCSg6qlwRUAQUAUVAEbAjkJEG7w62l9IwS2w89BjLpKN96D/WeDuYWAIWT4Qm5yqQoUZg0+bNHErJIkYKMFas62KOlJSpmgQSAagSeASUAAw8xrpC4BHQj4vAY6wruEdACUA9GcUGgX2pcO2XsOpf1y33rAdTWkF8dLGBwz8b/WedvUnIxlXu9dVtCr1egxrn+Wc9L7RkZsE1j8D81cZJZ54BK6dApXJeKNOhioAioAgoAoqAtwjs3ghjb4Ttv7nOrHIWPPARs7edzw1PGmvJRUfDZyOg06XeLqjj/Y3A7hRYsnYz5eOyqCCpI04EYIwNapaCMvH+XlX1nQoBJQD1fBQFBJQALApejMw9KAEYmX5Tqy0ikJ4NvZbCuxtdFbSoAp+0h4qh7WNhcWchnCbhdovfhPcfhpQjrobYoqHTA3DDs1AiuBXMU9PgyoGw6nejWRecBUsnQ+ngmhNCJ+nSioAioAgoAkFFYPl78HpfSE9xc8FxK9z7Kis2luLKQZCeYRzy+qNwT5egWquLuUFg/nbo8Q08VWMzZ5UyEoClYqFWaYjTB8dBPztKAAYdcl0wAAgoARgAUFWlRwgoAegRTDqoKCEgNeJGrYXHvnNtDiJPcqU5SAMttu29y4/ug3cfhBXT3c+tUB3umgQXd/Zetw8zDh+Dy/rBuq1GJa0vhAVjoIQ+ufcBXZ2qCCgCioAiYEAgLQXeuh+Wvu0KTFwC3D0ZWvdk/bYoWvSFI6bSJM/dA0/fpZiGEoGMbPs14su/2q0Yf7aRADw9CaokaumYUPooXNY2d4j2xK6dO3dSrdp/hT3ll52ezNMxRQsBJQCLlj8jaTdKAEaSt9RWvyIwZyvcughSTSXs5Knuh+2gYw2/Lld8lP22CN7sB3s2u99z42vhzglQXj5+giO798OlfeDvPcb1rm0FH78AMTHBsUNXUQQUAUVAESjCCPzzO4y9CXb94brJaufCAx/DGfXZuQ+a9SLvp7P06gpTHlZiKZQn5K+jcMtC+HH//63IJwArJcVQt25dSsWF0kJdO5wQUAIwnLwRWbYoARhZ/ipK1ioBWJS8qXvxGoFfDkDnebDTlKEjhZxHN4dB5+mFuNegygQpej5nOMwZAVmm3CZ5vURJuPlFaN8/aE1CNu+AFn1g32Hjju7uDJJuFaXfxJZcrZMUAUVAESj2CEhqwTdvwLQBkJnmCsfl98Cd4yE+MS/ir2Vf16j0Li1g9jB9IBXKszRjM/QmJ+VUAAAgAElEQVReCsczjVYIAdiobBZVSsVwVl3XJiChtFnXDi0CSgCGFv9IXl1vOyLZe5FtuxKAke0/td4PCPybCtcsgO/3uiq7tz5Maqk1XizDLAXQX+8D65e6V3FBR7j/XSgVnJzrtRuh1X1wPNVozqO3w/C+lnepExUBRUARUASKKwKpx2Bqb1j1oSsC8rBLGmG16J73Wlo6tB8My9YahzZrAIsmgHT+VQk+AimZ0H8FTPvTde04G8xrvJmqCVnExNgjAFUUgXwElADUs2AVASUArSKn83xFQAlAXxHU+UUCgZNZcPcSkKe/Zml9OsxqD+X1wtyaryUyQoqhS33A4wdcdUhtQEmLqtvEmn4vZy392X4DZi66PqY/DL7FS2U6XBFQBBQBRaD4IrD1Z3uX371bXDGodQEM+giq2Akj6Zd189Mwc7Fx6NnVYeVrUD65+MIYyp3/egBuXgh/uulhdnYZe0mYpMObycpSAjCUfgrXtZUADFfPhL9dSgCGv4+KqoVKABZVz+q+vEZAeKqhP8FTa1yn1ikNcztBvbJeq9UJ+QgcPwjvP2LvGGyW6Fi4/SXoMCAoubhzlkG3J+w3ZM7yzlNwRwd1mSKgCCgCioAicAoE5ILhy0nw3kPuy1xIeQv5Tou1d5mS4YPGwYSZRp2nlYfVU6FmFUU72AiIT15dD4NXQnq26+o968HEllAyFqyQPMHej64XGgSsnA1tAhIaX4XbqkoAhptHio89SgAWH1/rTj1EYNYWuOMbkKhAZ0mOg4/bQbvqHirSYe4R+P0bmNAdpGuwWZp0g75vQmLgQyHemgt3DzMaEB0Nnw6Hzi3UeYqAIqAIKAKKgBsEThyGV++CH+a4vphUBvq8CU2uM7z20vvw8GTj8FKJsPwVOP8sRTnYCBxKg3uWwKfbXFcWwm9KK7jVyS9WSJ5g70nXCw0CVs6GEoCh8VW4raoEYLh5pPjYowRgBPj6ZG4uCdqhIKie+nEfdF0Au03NQaKjYFwLuL9hUM0peosd3gPjboY/lrvu7bQzYfBMqHl+wPc9ajo88opxmRJxsHActAz88gHfny6gCCgCioAi4EcENn0H42+G/dtdlUoZi4EfQqWahtemfwm3P28cHhsDC16GKy72o22qyiMEvt0D3b+GHSdch19YET68EuqWMb5mheTxyBgdFPEIWDkbSgBGvNv9sgElAP0CoyqxgIASgBZAC+aU1NxcmqYdpl10HE/GJlImyhbM5Yv1WrtO2EnAn/a7wtCvAYy7FGKjizVEvm0+Ows+etreLdgskjZ150S44p6ApwQPmQSjPzAakFwSlk2GRlrr2zcf62xFQBFQBIoCAlIvYu4YmPE4yHeXWTo/BLdIC99Ywytfr4GOD0KWKcX0/Wehe7uiAEzk7CE7B4b/DM/8ADm5rnY/0AiGN4V4N9d1VkieyEFGLfUFAStnQwlAXxAvOnOVACw6voy0nSgBGOYeeyEjhVFZJ/OsrEAUL8YlcUt0PDaNCAyK51IzocdikLRgs7Q9w54SXFabg/jmi5/nwcTbIeWwq57Lbod7XoUSSb6tcYrZUgforqHw9nzjIKnNtHIK1K4asKVVsSKgCCgCikC4I3BsP0zuAWsXuFoqHezvewcu7OTymnSdv+w+OGHqOv/S/fCQvSmwSpAQkGyO2xbBkl2uC1YoAW9fDp2MgZuGgVZIniBtTZcJMQJWzoYSgCF2WpgsrwRgmDiiGJqhBGAYO/2vnGyapB0mw2RjU1sML8eVpKEtJoytLzqmyZPi536A53903dNZZWBuR9d0kaKz+yDtRNKpxt0Em793XfCM+vaUYPkZIMnKgm6Pw+ffGheofbq9O6OQgSqKgCKgCCgCxQyBDctgfHc4vNt14+e0hAEfQHm5lDbKtt3QvDf8e9D494E3wtiBAQ9sL2ZOOvV2v/wHbl8EB9Jcx7U+Haa3haolT63DCsmjTigeCFg5G0oAFo+zUdgulQAsDCF9PVAIKAEYKGT9oHd2Vjp9Mo7j5poFSQTuHVOCJ2ITSda0YD+gXbiKGZvhzsWu3eLKxsPs9tBGI8UKB/FUI7IyYPrDMH+866j4ROg1FVre6tsap5h9Mh3aPwDLfzEOkjTgpZOgTKmALa2KFQFFQBFQBMIJgZxs+GQYzHwWck3t4iUD49on4IZnINr1QeyBI3BpH9j0j3FDN14BM54Dm1ZyCZqnv/oHOs2DbFPKry0KnrsEHrsQoj3whxWSJ2ib1IVCioCVs6EEYEhdFjaLKwEYNq4odoYoARjmLt+ek80jmSnMyzbHAdoNr+RIC745Op4oTQsOuDe/3wtd58Nee1b2fxJjg8ktode5ATeh6C/w3Sx7h8WTx1332rYX9BwPcYHJuz56AlrdB79uNi7dshF8NQ4S4os+/LpDRUARUASKNQLSpGribbBusSsMyZWh/3Q4r61biFLT4Ir+8N1648utL4QvX4b4uGKNbFA3v+EQNPsEjpkun89Igg+uhJane26OFZLHc+06MpIRsHI2lACMZI/7z3YlAP2HpWryDgElAL3DK2Sjv8zO4OGME2wzP4l2WNTMkRbcQNOCA+6jHceh83z41ZTaIwsPPA9GNwchBFV8QODfv2DM9bD9V1cl0h148Cw4rY4PCxQ8VVK2WvSBLaZaQV1awGyp8a6Z9wHBXZUqAoqAIhByBH772k7+Hd3nakrDK+zkX5nT3JoppSSuexy+MJWSaFgHlr+iUeTB9O3+k9BkNmw7Zly1ay14qw2U8/IZohWSJ5j71bVCh4CVs6EEYOj8FU4rKwFo9EYNYAAgFXWrAemAlOD/GJgMmMrpeuVKuS2vBzR2/LsEOA/IfybXBljqhcb2QE+HLrkiEP3SM/RnQPpKzgRMuQNutTcA+gPySFGeSUlz+j+B94E3ADctx7ywsuChSgD6BcbgKEnLzWVc1knGZKa6TQuWxmV9YkrwmKYFB9whJzLtNWXmbHNdqkN1mHElJGu0mG9+yDgJ0wbCN6+76kkoDf2mQZPrfFujgNlbd9lTuMz1m3p2hLee0PpNAQFdlSoCioAiECoEpLPvx8/Yu9JLZyhnkTIrNz0P1zwKNjctYrFP6T0SXv/cOLVaZVg9FapWDNXGit+66dlwxWew8l/j3m86035tZiVZxgrJU/yQL547tnI2lAAsnmfFvGslAP+PSGdgOlC6gKOxyUEM/mXx6PQA3j7FXE8JQLm1F3KuWyF2rAC6AEdOMe5eYJITCWkeusax5wMW93yqaUoABgDUQKvc5kgLXlBAWnBlohgal8SNmhYcUFdIc5Anv4fhQvebpH5Z+KIj1E4OqAnFQ/ny9+D1PpDu5tlPx0Fw20iI8X9e1W9/wWX9QNKCnUW6N0oXRxVFQBFQBBSBIoDAgR0woTv8aQrdk62VqwoDZ4A0/DiFPPcmPPumcYDUjZVO8vVrFQGMImQLQsT2+Abek7tFJ2lcCZZeAwkWI/itkDwRApma6SMCVs6GEoA+gl5EpisBaHfkBcBKIMERATccWOL4/82AEGUi8rF+MeCmQFShJ0Ki9aY5RmUC6wD5Omjo+JunBOBrQC/HHMkTGOWI+hOdousRQCIZRb4CJFLQnXQA5joiB/cCQwFpg1nOsd/88Ba5KmkNZBe6Q+8GKAHoHV5hNXp+VnpefcC/C0gLvtSRFlxf04ID6rf3NsI9SyDDFOtbvgR80h4u86LOTEANjWTlO9bDyzfArj9cd1G3KTzwEVSo7vcdrvgF2g2CNFMNoZH94OHb/L6cKlQEFAFFQBEIJgJ/rYHhHeG4m5oeF3aCfm9D6QqntOiNz+HeEcYhUutv0Xho0SiYm9G1hv0ET8hdlJNUKwlrrofTEq3jY4Xksb6azowkBKycDSUAI8nDgbNVCUA7tsuAyxzprvJztQnyIQ6iTf78HPCsBZdI6m9TQKLqpNejNFgVPc84dHlCAFYGdjtIu8OOFOKdJlskglGKV9V0/F1SjX80jYkF5G5WCllJlYoLHanOzsMk5bmf4w93FhK9aAEOlAC0gloYzTmZm8vYzFRezjqZlytvFklW6etICy6t3YID5rmVe+DaL0HqzjhLrA1eawV3nhOwpYuP4rQTMLUPfCvB1yYpWc5em+kCeabiX5m70p75lW16/PLm43DX1f5dS7UpAoqAIqAIBAmBTathaHs4aSoUJ519u4+ATg8U2rLX3feDpJjOGgrXyWN7laAhMGsL3CAhF06SFAMrr4NGp+ZwC7XRCslTqFIdUCQQsHI2lAAsEq73eRNKANpr8uU/s5Houj5uUJX6ehKxJ7fSklJbCZCIO1/FWwJQUno/cyz6MvBgAQZIHcPxjtfk94mmcTcCHzn+9hhgen6Y94o8rxJysSywAfB3j1ElAH09PWEyf2tONkMyTrAwx/1b4rQoG8Nik7g+Ok67BQfIZ38fszcHWXfIdYGHzocRTSFam4P4hr7k90hNwGkDINMN5X3t43DjcyA3cH6UdxdAjxeMCm02mD0Urmnlx4VUlSKgCCgCikDgEfhzJQxrD/JgyVkq1oRBH0LdJoXa8N06uLw/nDR9FU16EO4rrEBQodp1gDcI/LgPLpsDJ50qpsvN9WcdoXN+KIY3Ck1jrZA8PiynUyMIAStnQwnACHJwAE1VAhCGAUKCiUiEnimA+z/0HwUkNVjkKmChH/ziLQF4vaO5hywtlaAkSs+dSBMTSe8VeQgYYxokTUJucfytCmAqV/vf6ClAb8f/znakQPth23kqlAD0F5JhoCc3N5f52Rl5acHbC0gLbmmLZUxcEudoWnBAPHYsA7p/DfO2u6qXi9D320Ip/5erC8hewlrp1p9h7A2wd6urmee2hgEfQFn5WPWfvDwDHjQ9xpE0ry9fhtYSv62iCCgCioAiEP4I/LEChnWA9BSjrY3awaCPIKlMoXvY9A807w0HjxqHPnYHDHMXwlCoRh1gFYGdJ6DxLNhjKhM8pjkMPt+qVuM8KySPf1ZWLeGOgJWzoQRguHs1OPYpAQjLAamwK9/G8s1bUNfbZsAqh1ued0rd9cVT3hKAUuPvN8eCnkYASnOTfDIw39Z/HF2ONzo6Exe0ByEJhSwUucuphqEve86fqwSgP1AMMx2pubm8nJnK2KyTmEqX5VkqsVH9YhJ4NDaBUpoW7HfvZefAI6thjBQBMEnDcvBFJ6hRyu/LFj+FqUfhlTthzaeue0+ubC/c3kCqOvhPHnsVRrxn1FcqEZZNhgvk8YyKIqAIKAKKQPgisH4pjOjk2lTqgo7w4GyIK1Go7dIdvlkv+HuPcWiPjjBNu8QXip8/B5zIhJafwi+mNon31reXX7HS8dedfVZIHn/uU3WFLwJWzoYSgOHrz2BapgQg7AekQoPcMp/qeY2kwuYn2M0EJI3WV/GWAJT1pCnHpQ5bhBCUmoDOIrf3shfp/SUhKpK27MzFlHRqYiLpxNecYhPSHCW/z+hLwMO+bthpvhKAfgQz3FRtycnm4VOkBVeJsjE8Nonrwi0teONLkNwITmsXbpB6Zc+bG6DPcsgyNQeplACftofm/g1Q88q2IjNYUoLnj4fpQyDb9NxIyO2bnodrHiu0jpOneMhyvUbAG18YZ1QqC99OgbrVPNWk4xQBRUARUASCisC6xTDiasgwFeu9qDMMngmx8YWacywFWt8Ha01dZq9qAl+8BLH+rT5RqD3FeUBOLlz3JXy2zYhCm6rw1dUQK0Ww/SRWSB4/LV1s1UR5yN62atWKpUuXhgwnK2dDCcCQuSusFi7uBKA8bsv/Np4HFFZWXQp2JAHfARIR6KtYIQDPAr50EHzSvTe/C7DcgTZwkHRC/skzKYn+E1udpZ6jAYj8TVKIJZW4IBFiVAhSkQ+d0oY92bcQfKeS04AfZMCOHTs444zChnuypI4JJwQkLXiuIy14RwFpwa1ssYyOS6JeOKQFH/kVFkk+ZQ5U7QaNxkJi5LIqy3bZL1APmWoExdngjTZwu0aN+eftIsXcx94IB839mOSRUnu4/71COzl6akhWFtz4FHwqbaucpGYVWDkFTq/oqSYdpwgoAoqAIhAUBH5bBCM7Q6b0/nOSi7vC4I8hpvDaHBmZ0OkhWJR31fx/uageLJ0EJX3oMhsUDIrYIpJpMWqtcVN1k+G7blCu8EBOr9CwQvJ4tYAOdkFACUA9FEUdgeJOAMrt0j6Hk6Upxs2FOFwIN2kAIg1BJPrOV7FCAMqa5aXBKvAIIBF9ziKdGKQBiPxzc0eKdAWWTsQiIwGpbViQJAD5lS0kjVgIRU8l19OBSgB6ilRkjpO04NGZqYw/RVrw/TEJPBKbSEkPn7r5HQkJr1raEg6u/L/q6EQ45yk4azDYCr9A97tNflC45ShcPQ/+lNZFJnnsQnixCdiK+7eAH3Dm2AGYfAesXeCqrfwZ8MDHcJY/nhlBWjp0fBCW5MdmO1ZsUBuWvwJlpQ+8iiKgCCgCikDoEfh1IYzq6kr+Nb7W3vDDA/IvJ8feCGq6qcts7dNh1VSoXC702yxOFkz7A+5aYtxx2Xg7+XdW4SUcvYZKCUCvIfN5Qj4B2LdvX/r161egvqSkJGrVkpib0IiVs6ERgKHxVbitWtxv/SS8R+rhiUh1pTsKcVB+7bwtwJl+cKZVArCng/yTaD53InZKdJ+k7ZqJOKl3KHUPRaS35NOn2If0Dc12vP4N0NaLPSsB6AVYxWHoZke34G8K6BZ8epSNEbFJXBOKtODdn8GqArLhS50N50+Cyt4c//Dx6NF0uGkhfLXD1aZra8F7bSEpNnzsjVhL5C5tzgj46CkwR7xKZ+BbR0GnQX4pDCSpYG3uh5+liquTXHoeLBwHiX6OQIhYn6jhioAioAiECgF5IDT6Wteu8U2vtzeLivHsi/eRyTDqfeMmKpSBVa9p6Ydgu1YyK678AjKdyqvE2GBhZ5D030CIFZInEHZ4qjMlN4cSRBEdqgf6nhp6inH5BOAzzzzDs8/KrXp4ipWzoQRgePoy2FYVdwIwEiMApaPvYMdBmeMg+aTmnxB1Uu+vP3Cn4/VPHLUK80k8+XOwIgALy+nVFOBgv9vDYD1JC/48O4NHM1PYWUBacBtbLC/FJXF2MNOCxZa/p8Hvj0DGQfdInXEjnDcGEgs72mEAtMkEqQX44EqY8LurbedXgM87QDVtDuIfx61bAuNvgaMSMG4Sifro+5ZHnR4LM2bfIWjRFzabiN2OzWDOSK0HVRh++roioAgoAgFD4Ke5MKYbZJnaoTW/CfpPB3ko5IFM+BgGjjMOlAc8SyZB4/oeKNAhfkPgr6PQZJZrWZXXW8M9AfSFFZLHb5v2UtHx3BykBnhiVBR1oqIjlgRUAtBLx+vwiEOguBOAkVYDsJNTR9+3nYg+88GTLsVPOf44AJjoNCBYNQALezNoE5DCECrCr6fk5vJSZioTsk4iOetmkefi/WMSeDg2kaRgPkXMOATrnoCtr7kJngWik6D+M1B3YESmBU9ZB/evgGxTfG6VRPj2WqidXIQPXTC3duRfOwkoXR/NUrk2DJ4FtaTHkm8inSAv7Q27TV0Ib7sK3nnKb/1HfDNSZysCioAiUJwQ+PFzGHM9ZJuublp0h/ve8Zj8m7kYbpKAcqfv6+ho+HwkdGxenAAN/V4Pp0GzT2CjqZzKg41gtLRlDKBECgF4LDeHrTnZUkU7T0pFRVE7QklAJQADeKBVdVggUNwJQHFCJHUB/tSpa68QaLsKOEVCbMq+pD7gL4DznaZ2AQ6Lt54aIQhsysliSEYKiwtICz7DkRbcJdhpwYd+gLX94PCP7h1V6hy4YBJUujziHPnNTrj+Kzhiag5Svyys7galI7PcYfj5QToDz3wWPhnqapt0fOw5Htr28jkleN0WuEyO6nHjMoNugpcH+Kw+/HBVixQBRUARCFcE1nwKY29yJf8uux36TQObZ+1hl62FdoNAmn84y1uPw52FtSsMV2wi1K7MbOgwD+TayVk614RP20O0FEsKoEQCAXg0N4dtTuRfPhxS2uc0D898ACH0WrUSgF5DphMiDAElAO318KQuXgog5Vulm647kQruqxwvSITdM37wtbc1AP8EpHen5JZJCu2pRLr/NgGk7Zg083CW/FqGUkGqoDqCMv4W4APHxLuAaX7Yc74KjQD0I5iRrErSgj9zpAXvKiAt+Iq8tOCS1A3mhURuNmx7E9Y9BhIZ6E6q3QznjYaEABV/CZBjNx2xNwfZfNS4QMfq8HnHwF/QBmhb4alW6kBNuh2Ou0ktb3Er9JoCJcy9nLzbyqrfoe0AOGkidYf2hsd7eKdLRysCioAioAhYQOC72TD+ZpCHP87Suif0ecNj8k8e6kh5h6MnjGpeuBeezC/wY8E8neI9AhJ92WcZTN1gnNuoPHx7HZT0rIyj9ws7zQh3AvCIg/wzF34vG2WjRpQNWzCzeHxC+v+T8wnA+vXrI/cof//9N9HR0Zx22mk0b96cnj170qZNGz+tZl2NlbOhNQCt412UZioBCMOAxxxObQp8X4CDpVvucMdrVwEL/XAQvCUApfvwuYDcSVYoZP2fgAsBuYQwV/cSUk/IPZEqwL8F6JoC9Ha8JsTjJj/sOV+FEoB+BLMoqDqRm8uozFQmZp10y8LLddbAmAQeCnZacPoBWPc4bHvDfVpwTEmo/yycOQBsQbga9JOzJaWl1Rz43cRtDm4EYwKc0uKnLUSOmgM7YOyNsFmey5ik6jnw4Cw4w7ciQgtWQ5eHIcu54ivw2sPQq4D+NpEDoFqqCCgCikAYI7DqY5jQHXJMH8Bt7oLer3tcj2HHXmjWC3ZJDo+T9LkWXnlII7qDfQLG/QoPrDSueloirOkWvLrJnpA8Obm5HHTp+Rh4tCTyb0dOtsvKZaJsVIuyBezAlicqoMRiPgF4KgSvueYa3n77bZKTQ1c7x5OzYd6DEoCBf19EwgpKAEJjJ9JPCn/1ceM4CfAW8k2abEgFiErgtnSZtz73lgD8AsgP/pe7xT8KWLAcsAeQZD4p+3+eadyNwEeOvwn5OcKNnkRAAt7LAvLsS4hHf4oSgP5Eswjp+jMni4cyUlhWQFqwXFRIt+DOwU4LPvg9/HIfHBZu3Y2Urg/nT4ZKrSPGG38fg8azYf9Jo8lvtIa7feOjIgaDoBkqxeDffxTmjXVdMj4R7p0Ckibmg3ywEG41Nayz2eDjF6Bb6B9W+7AznaoIKAKKQJgisPJDmHibK/l3xb32z3X5EPZADh+Dln1h/Tbj4K4tYfYwkPp/KsFDYN7f0GUB5DiFtpWIhmXXQOPKwbPDE5Jnf24OtU8WkKkSPFODttLWhHJUFIIxQJKUlESXLl244oorqFevHiVLlmT//v0sW7aMKVOmcPCgPaOjVatWfP3118TGhubhvydnwwyREoABOjQRplYJQLvD8tOAJW7/MmC1yY9DgFGOvz0HmHuCyx3/Esfr7wA9PTwH3hKAvSSgw6FbIhA7A6YWY8gnothwm2OcRC0+brJHPqmEPKwDHHNECm4xjZkM9HP8TZIOpOmIP0UJQH+iWcR0Scj9p4604D0FpAVfaYtlVFxJzgx2WvDW1+0RgZmH3aNe/VZo+BIkSHBt+Mu3e+DyzyAzv3IzEGuDRV3gstPD3/6Is1BqRE3uCSflo9ckcsN453iIM1dt8HyXE2fCABPHGBcLc1+CK+Vxl4oioAgoAoqAfxBY8T5MugPM1ylX9oG7J3tM/qWlw1UPwHKp2u0kzRvCogmQEO8fc1WLZwj8fhCafwInTDUYP2oHN57pmQ5/jfKE5FEC0F9o2/UcOXKEMmWkKpir7N27lw4dOrB27dq8F8ePH8+AAdJvM/jiydkwW6UEYPD9FI4rKgFo94o0yZAgb7nrkpRZSQsWQk/+fzMgxJuIpMBeDJjKreMpAWgmBiUxq6tD90hAavzly1/At6ZDIxF9vzrV7ZPoPunwK3+TvAOJ2ekLSL1CEakV2AAw9YjMe60jIBGFQhjKuBeBNY6Iv3uBbg4dYoPsz5TX4PNxVgLQZwiLvoLjuTmMzDzJ5ALSguUNMSgmgQdjE0kMZp2R9P3w+2Pw95vunRBTCs59HurcD7aYsHfU23/CnYuNZpYvYU9z0c7AAXDfv1tg7A2wzX4BaZCa58PgmXCa9buMp1+HF0wVW0vEwfwx0OaiAOxHVSoCioAiUNwQWPYuvNLT2KZXMLjqPrhrosfpj9nZ9m6/s01N4+vVgG+nQPnQZRgWN4/ab5xSofEs+MdUg/H5xvCU3AEGWTwheZQADK5Ttm7dmhcZmJmZyZlnnon4KBTiydkw26UEYCg8FX5rKgH4f59INN10oHQBbhLyrxMgxJxZPCUAzTVST3UiCookrAF8BjQq5DhJEsF1ji7ABQ0Vom+SI1XY3RghBGXP7ghEX0+zEoC+IliM5kta8IMZKSwvIC24epSNkbFJdAp6WvBqWHsfHHFD5Ih/khva04IrSp+h8JYhq2C0KfpAOwMH0GcZafD2IFiUH9TttFZCKeg7DZrmP4fxzg4pXN5vNEyRvvFOklgCFoyBy5z7wnunWkcrAoqAIqAILJkGU+52Jf86DICe4zwm/+SzWiK2J80yQlqlAqx+DWpERiJBkTkPJ7PsGRHfSViEk3SvC9PbeuxWv+LhCcmjBKBfIfdIWadOnZg/f37e2F27dnH66cFPmfHkbJg3owSgR+4t8oOUADS6WMi1gQ7SSwgqSa8Vwm+mgyhLLeBEBJMAFBMkhVciE693pO9WBMSXUgDiN2AO8K6js3Fhh1giBCV2+QpAPr2kG7KkB78PSNeDgroiF6a3sNeVACwMIX3dgICkBc/OzuCxzBT+LSAtuJ2jW3DtYKcFb5kC65+ETCkR6kaq3w7njYIShTXvDp3Ts3PgmgUwd7vRBu0MHGCfSArZ1N6QLh+9Juk4EG4bBTES6+qdSFTJ7c/DjK+N85ISYOE4kNQyFUVAEVAEFAEvEVj8Jrx2r8sVVrsAACAASURBVCv51+kBuGOMVyzRyPfg0VeN65dKhBWvQqO6Xtqlw31CQMjY7l/Dh6Ywj2aVYXFXKBGiZA5PSJ5gNAE5kJPDnlzXZDCpxXdaABt+uHNqoJuAeHKQhgwZwujRo/OGrlmzhksuucSTaX4d48nZMC+oBKBfXRCxypQAjFjXRbzhSgBGvAtDswFJCx6eeZJXsk66zUuXUjkPxCQwODaRhGCmBaftg98fge0FlMuMKQ3nvgB1+oVtWvCxDHvdm/WmWtIPNoLR2hk4cAd+5x/w8vWwU/otmaRuE3jgY6hQ3ev1s7LglmdgVn6FWocGucH8ejw08XdrJ68t1AmKgCKgCEQQAoum2h/YmKXLELh1pFfk37sLoMcLRkWxMfDly3B5CFJNI8gLATH1uR/g2R+MqmuWgu+7QSVpixgisULy+NvUvTnZ7HLz4F2IvypRNjzpmutvm0Kt7+GHH+all17KM0MJwFB7Q9f3FgElAL1FTMf7CwElAP2FZDHVsyEvLfgE3+a4D1Kt6UgL7hgT5OrZB1ba04KPSmlON5J8HlzwClQIT0Ztm3QGngUH0oy2v9UG7pQ+6CqBQSAtBd7oC8vfc9Vfshzc/y5cKBUZvJPMLLjxSZgjra6cJLkkLBoPF6tPvQNURysCikDxROCrV+DN+1z3fs2jcMswr8i/eSuh66MgkdrOMuM5uPnK4glvKHf94Wa4xRQtXyoWVl0HDcqH0jLy6stlZWURExND3brBDwv9Nyeb3W7IPyH+hAAsjuSfnIirr76aefPm5R0OiaqrWrVq0A+KlbOhEYBBd1NYLqgEYFi6pVgYpQRgsXBzYDcpacEzs9N5PCOFvbgvsdne0S24VjDTgoWU3PoqrHsSstx0exVYavSAhpIWXCmwIFnQvmI3XPG5a2fgb7pAy+CXObGwgwidIjlIkl721v2Qme7mRvMxuOl5iPYuFykjE7o9DnOl1ZWTlC0F30yAC86OULzUbEVAEVAEgoHAl5Pgrf6uK133BNz0glfk36rfoe0AOGn6iB/THwbfEozN6BrOCHz3L7T+DNKdyFhbFMztCB2kMJSvkpMBNu/LeOQva4Xk8dVkmS/X11JuZ48b8u90If+CeU3tjw35Uce2bdvymoBkZGRQu3ZttmzZ4kftnquycjaUAPQc36I8UgnAouzd8N6bEoDh7Z+Isu5Ybg7DMlOZkpVWYFqwdAqWjsHBTQveC78/DNulJKcbiU2Gc4dCnT4QFR1WmE/7A+4ypY5WkM7A10OtglolhdUOItiYv3+Bl2+Af930nKrfCgbOgLLeVYdPzwAJVPnyOyMu0mFyySRoWCeC8VLTFQFFQBEIFALzxsE7D7hqv/5puOFZr8i/dVugZT84ctyo7sFbYLQbfjFQW1K9dgS2H7dnPOw7aURkfAsYcJ4fUErdAcvbwrnPQTUp3e69WCF5vF/FOEPIPyH+3NXbrhplo3IRJv+++OILOnTokBdx6U727t2b9/ratfbmf2PGjGHw4MG+Qm5pvpWzoQSgJaiL3CQlAIucSyNmQ0oARoyrIsfQ9TlZDM44waoC0oJrRdkYFVeS9tHWn8ZaQmP/CvhF0oJ/dz+9zAVwwWQo38yS+kBNemgljDFlMjcoZ0+LKRVkCAO1x7DVm3oUXr0bvp/tamJyJTsJ2OByr8yXiJMuD8MiU52jimVg6WSoX8srdTpYEVAEFIGijcAXY+C9h1z3eONzIASgF7J9DzTvDbsPGCfd0QGmPQE2mxfKdKjPCBzPgEs/gd9NNY/7nguTL/OK13VvS8p2WN4GUrbZH/A2+RDOkN6N3okVkse7FYyjhfyTlN+9biL/zoiKplIRP6g1a9YkMzOTbt260axZM+T/CQkJHDhwgKVLl/Laa6/l/S7SokULFi1aRHx8kEsNOVxm5WwoAejLu6PozFUCsOj4MtJ2ogRgpHksQuyVi5ePstN5IiOFfQWkBXeMjmNkbBI1g/kUU0jJLZNg/dOQZXr8n49tzbug4QiIl8beoRfpDNx1AcwzdQa+ugbM6QDResMSWCdJSvCCifYb0OxM41rSdU+iTyQFzYsL8tQ0uPohWPKzUV3lcrB0EtSrGdgtqXZFQBFQBCICgc9GwfuPuJp684v2z10vZP9haNEXNv1jnNSpOXw6AqT5h0rwECjo2ubKM2BeJ4j1NSFDSL9lbSDV6eIpKgaafw5VOni1USskj1cLOA2W62dp9rHPDflXLSqail5ca1i1IdTzhPDbvt100evGKCEI33jjDcqUKRMyk62cDSUAQ+ausFpYCcCwckexMkYJwGLl7uBv9qhTWnCOm+VLAA/FJjIwJoESwewWfHIP/D4E/nnfPSixZaDBMKjdKyzSggvqDDzkfBjVPPh+LZYrbv4ext4IB0x3jwJGo6ug/3tQ2nPSOOUkdBgMK0zRnVUqwLLJULdasURZN60IKAKKgB2BT4fDjMdd0eg+3F5LwQs5kQqX94cf/jBOat7Q3o09US5GVIKKwOCVMNb0/VevDKzuBmV8DeY6scVO/p3cYdxTqXOg1WIocZpXe7VC8ni1gGOwkH87c3PY74b8q26LpoI8dCwGsmzZMuTf6tWr2bp1a16037FjxyhZsiTVqlWjefPm9OjRIy86MNRi5WwoARhqr4XH+koAhocfiqMVSgAWR6+HYM+/O9KCvysgLbh2lI2X4krSLuhpwcvs3YKPrXePSpkL7d2CyzcJAWrGJbcehcaz4aCpM/C0y6FnvZCbVzwMOH4QJt0Ba+e77rdcVXjgYzjbc0b2eAq0HwxSkN5ZzqhkJwFrB7+hXfHwo+5SEVAEwhuB2S/CR0+52njbS9DFTTrwKXYjDZgk4vprU9mFc2vB8lehnNbTDfpZmLoeei8zLlu+BHzfDeok+2jO8c32tN+Tu4yKSjeAy76x1PTNCsnj7S6E/NuRm8MBE/knJIGQf+WLCfnnLW6hHm/lbCgBGGqvhcf6SgCGhx+KoxVKABZHr4doz3JxMyM7nSczUthfQFrw1dFxjIhNokZQ04Iz4a+JsOEZyDrhHp1a90CD4RBfIUTo2ZddvhvamjoDx9lgcVe41Lt+FCHdR0QvnpMDn4+CGU+A+Sm9dAbuPgKuHuxx8aJjKXDlQFizwYhK9cqw7BWoqX6N6OOixisCioCXCMx8DmY+6zrpjpfhajeNQE6hXj6ub30WPlzk+vm6aipU9Txo28tN6PCCEPhmJ7SfC1lOaSGxNvimC7Q83Ufcjv0Jyy+HtD1GRcnnwWWLLJd2sULyeLMTuT7+JzeHg27IP7keLqfknzdwBnWslbOhBGBQXRS2iykBGLauKfKGKQFY5F0cfhs8kpvD0MxUpmal4S4tOAEYEpvIgJgE4oOaFrwbfnsIdsxwD1pcOTsJWOvukKYFv7kB7llqNLFiAqzpBjU1kiF4B37DMhh/Cxw23WiIBRd3hfvehiTP6tJIN8q2A+GnP43m1zrdHglYrXLwtqUrKQKKgCIQEgSk3urHz8DsF1yX7zkeOg7wyixRN2AsTJplnFahDHz7Kpxdwyt1OtgPCGw8DE0/gSPpRmV+yWQ4tgGWXQ7pe43KpcFby68hvrzlHVgheTxdTMi/7bk5HHJD/kmN7LJK/nkKZUjGWTkbSgCGxFVht6gSgGHnkmJjkBKAxcbV4bfR3xxpwd8XkBbcICqaz0skUzHYFz/7ltjTgo+bigXlQ1j2Enu34HKXhAxUd7VztDNwCNxxZC9M6A7rFrsuXqkWDJ4JtS/yyLBDx+CK/vDLZuPwOlXtkYAaqeIRjDpIEVAEIhEBYes+fBI+HeZq/V2ToP19Xu/qxWnw1OvGaUkJsGQiXFLfa3U6wUcEpHxJ09nw11GjokcvgOG+lnI7us4e+Ze+36i87MXQciHElfXJeiskjycL5jjIv8NuyL9atmjKBPv61xOjdYwBAStnQwlAPUSCgBKAeg5ChYASgKFCXtfNQ0Aufj7ITuepjBQOuEkLPi8qmnklkoN/EZSTAZsnwIZnITvFjbei7A1Czh3q01Nlq8dAuud1ng8LTP0oOteET9trZ2CruFqal5MNkrL2yYsgN7HOEhMHPcfBlX08Sgk+cMReqP73LUY1Z1W3dweWBiEqioAioAgUKQTkc/ODx+Czka7buudVaNfH6+1OnQO9RxmnSZffeaPhysZeq9MJPiKQkQ3tvoBlu42Krq0Fs9qDzZc74SO/wvK2kHHAqLxsY2j5FcR5Fol/qi1aIXkKg0yuf//OzUGyYpxF2nwI+Zes5F9hEIbF61bOhhKAYeG6kBvhy8deyI1XAyIaASUAI9p9Rcd4efr5YmYqb7hJC25qi2FOfDJJwUwHzoc2dac9LXjnR+7BjisPDUdAzbsgyBdrR9Oh2Sfwx2GjaQ9fACN9fZpedI5W8Hbyy1cw8TY4broJEQsuvQV6vQYJpQq1Z98haNMfNmwzDj2nJiyZBJXLFapCBygCioAiEBkICPn33hCYO8bVXvnMbNvL6318shRueBKk/l++yOXDB8/CzVd6rU4n+IiAuPieJfCWqcTFhRVh+TWQFOvDAofXwgoh/w4ZlZRrBi0XQKyvHUXsaq2QPKfalZB/23KzOWp6aCjkX21bNKWDfD3pgweK/VQrZ0MJwGJ/bPIAUAJQz0GoEFACMFTI67puEfglJ4vb0o/l1UNxlitssXwUXzq4NQGdDdj7DfxyPxw3XcHmjynXxJ4WXNazdE9/uX/LUWjipjPw25dDD+0M7C+YPddzcCeMuwk2rnKdc/rZ9i7BNc4rVN+/B6H1fbDRFOHZoLadBJQaViqKgCKgCEQ0AkJ+vDMY5o8zbkPYut5vwOV3eb29JT/ZO6tL519nmfAA9L/Ba3U6wQ8IjF4LQ1YbFZ2eZK9bXLWkDwsc+hFWXAmZR4xKyreAFvMhtvAHbp6uboXkKUi3kH9bc7M55ob8q2OLppSSf566JSzGWTkbSgCGhetCboQSgCF3QbE1IOIIwO/ZziFSOYfKVKcMNuR5mUpRQmBLTjZXpR1hrykluGt0HG/HlSImFJGAArCkBW8aC388D9mpbiCXtOA+0OBFkIYhQZJlu6DtF8aOetIZeElXaK4dZIPkBadlsjLt6WzuIlpi46HHWI9Sgnfvh1b3wV87jVtoVBcWT4Ry2vAl+L7VFRUBRcA/CAj5MW0gfDnRqE++3/tOg9Y9vF5n7Ub7Z+Zx09fzkz3hBe8DCb1eXye4IvDZNrh2AYaruYQYWHENXFTJB8QOrYEV7SDTVFCwwmXQYh7E+MIsutplheRxt7tsB/l33ET+RTsi/5T88+FMhGiqlbOhBGCInBVmyyoBGGYOKUbmRBwBOJSF/Ia962YisdSjMvWolEcI1qY8McjXqEqkI7A+J4sOaUc5bCIBb42O55W4kthCRQIKsKk74NfBsMvUWjAf9LgK0HAk1OwZtLTgNzbAvW46A/9wPdTw30PwSD9WwbX/h89gcg9INd2giBWNr4M+b0DJUxcm37HXfkO7zVQ36cKzYdF4KKskYHB9qqspAoqA7whIbu5b/WHhKybyz2bvnn7Z7V6vIQ9KLu0N+0wlMXp1hSkPe1SC1es1dcKpEVi7H1p8CqlZxnGzr4Lr6viA3sHVsKI9ZB0zKqnYBi79AmKSfFDufqoVksesSci/LbnZnHAh/6KoY7NRUiP//O63YCi0cjaUAAyGZ8J/DSUAw99HRdXCiCIAs8nhTmaQjulqwuGdOKI5k4p5ZKCQgmdRkRL4UlykqLo9Mvb1Y3YmndOPccJEAvaNKcHI2CSiQkkCCoT/LoRf+sOJTe4BlRo0eWnBFwQF8Ae+hXG/GZc6rzysvA5K6tsgKD5wWWTvVhh7I2z9yXX9CtVh4Aw4u/kpbdu+x04Cbv/XOOySc+Dr8ZDs30CH0OCkqyoCikDxQEDIvzf6waLXjPsV8qP/e9Ciu9c4SMkEIf+2mh6UXNcaPn4BovW5sNeY+jphdwo0ngW7TD3UhjeFRy/0QfuBb+HbDpB1wqikUlto/hnEJPqgvOCpVkgeZ21C/v2Vm02KG/LvTJuNJCX/AuK3YCi1cjaUAAyGZ8J/DSUAw99HRdXCiCIA/+IATzDPY1/YiMqLCsyPEJRowZLEezxfB4YegeXZGVyXfox0kymPxiTwRJz/n/J6vePsdNj8MvzxAmSfdDPdBnX6wrmSFhzYwm1Zjs7AX5rqxnWtBZ/42mXPa2B0wn8IZKbD+4+61rmSAbZouOkF6PoI2AouZ7B1l50E3LnPiGuzBvDVWCgVBm8F9bgioAgoAqdEQMi/qb1h8RvGYfI5OOB9aH6T1wAePWH/bPx1s3Fq6wthwRgooZd8XmPq64TUTGg1B37cb9TU42yYdrkP0Zj7l8O3HSHbxCpWvgqafwrRCb6aXuB8KyRPvrIsR+SfmfyLIYozbdEkhvphdsBQKx6KrZwNJQCLx9kobJdKABaGkL4eKAQiigD8h8PMZT1/sJd9mJ7+eYjQGZTJixA8h0p56cPl0TtnD6EL2bD5WencmnHcJe5zWGwS/WMDd8Hn1YZTtsNvkhb8iftp8RWh4UtQ4/aApgUX1Bn40QtguHYG9sqlfh/801x4pSccP+iqumFbe/RLmdMKXFZS3Fr1g92mJsMtGsGXL0NSmLwV/I6bKlQEFIHIRyAnG6bcC0unuZJ/EgndzPsOHWnp9oYfy9YaVZ5fF5a9AqX18i7o5yYnF25aCLO2GJduWQW+7gLxVqMx9y2BlVe71l8+rSM0mw3RJQK6Vyskjxgk5J9E/qWaIv+U/Auou4Kq3MrZUAIwqC4K28WUAAxb1xR5wyKKAHT2xkFS+JO9/MG+vJ87MHUB89B1lSiZRwTmpw1XoTRR2pjbQ/SCN2xmVjp3Zxw3JQPDpLiS9IgJ7IWfV7v890tHWvBf7qeVv9SeFlymkVdqvRksnYEl9eaQKWzy3Svg9rO90aRj/Y7AoV0w4VbYsMxVdXIluO9dOP+qApfduB1a3w+S8uYsEu0ybzQkhtFbwe/YqUJFQBGITASE/HvlLlj+rtH+6BgY9BE0uc7rfWVlwQ1Pwpzlxql1qsLK16By8PpweW17UZ7w1PfwoqniRe3S8H03qGD1IdXeRbCqi2uWRZXO0HQmRAc+zNMKyZPpIP9Omsi/WEfkX4JG/hWJt4KVs6EEYJFwvc+bUALQZwhVgUUEIpYANO/3OGlsZF9edOCf7GMrB8lxoYsKRymZEv8RgtppuHC8gjnircyTDMw0pn7Ih6d0Br4uJvAXgB7vNTsNNo2GP4ZCTpqbaTY4834493mITfZYrTcDl+6CK910Bl56DTQrOMjMmyV0rFUE5GZ49osw63nIzXHV0uVhuPlFiHFfuHHDNmh9H+w3PfNoewl8PgoSwuitYBUinacIKAJFBAH5vJvcE1ZMN5F/sTB4JlzS1euNCp/SawS88YVxqpB+q16D2lW9VqkT/IDA9I1w+zdGRclxsPo6OMcqIfvvV7DqGtdrqdOvgaYfgS3OD5YXrsJbkqdA8i8qirpR0ZRQ8q9w0L0YkUk2J0inDAlBD+Lw9mzItpQA9MK5RXioEoBF2LlhvrUiQwCacU4jk03szyMDJUJQfpcvCG8lgVjOdnQZlkjBOpQnVjsNewuj38aPzUzl6cxUg74Y4MP40lwVHZwLQY83k/I3/DoIdn/mfkp8ZTjvJah+mw9FcQq2Zup66G0KNKuUAGu0M7DHLgzowA3LYUJ3kKhAs9RtYm8QUqmWWxPWbbFHAh40NRhu3xQ+Ha51rwLqN1WuCCgCniGQnQWT7oCVM4zjY+Jg8Cy4uLNnekyjnnwNhr5j/KOk+y6bDOefZUmlTvIRgZV74PLPIMPpmVZ0FMzvBO2qW1S+Z76dPcwxpTNU7QZNZoAteN3NvCF5MhyRf2mmyL+4qCjOVPLP4mFwPy2XXI6RxiFS84I+KlMq6LXevTkb+btQAtCvxyBilSkBGLGui3jDiywBaPZMFtl5UYH5KcNCCqaS6bUDhfyrS4X/ogS107DXEPo84bmMFEZnGRtuSObjp/HJtIgO3gWhxxvZMw9+GQApW91PqdDSnhac3NBjlZ4OHLgCJvxuHK2dgT1FLwjjpB7gK3fCT6ZQFlk6oTT0fh2a3+jWkF82weX94fBx48udmsMnwyEuDN8KQUBUl1AEFIFwQCArEybeBqs/Nloj5N9Dn8KFHS1ZOeFjGDjOODU+zt4MqdUFllTqJB8R2HoUmsyGA6aEh1cug74NLCrf/QV8dz3kZBgVnHETNH4vqOSfGOApySPk3+bcbNLdkH8S+RevkX8WD4TrtAyy2E8KEvCRL9HYqEYZ5GewxNOz4WyPEoDB8k54r6MEYHj7pyhbV2wIQLMTc8jhH47kRQdKlKCkDh/BXRfXU7tfOg3XpJyjsUjlvGjB0mghrkC+aXJzc3koM4WpWcarzVJEMa9EMhfYJCYwzETSgjeOgj+Hu08LjoqGug9Cw2Egv/tJpDPw1fPgqx1GhdfUgtnaGdhPKPuoRm4UFkyE6UMgy3SzI6qvuBd6joP4RJeFfvoTrhgA0gnTWa65DD5+EWLD8K3gI1o6XRFQBMIdASH/xt8C3882WhobD0PmwPntLe3gg4Vw67PGqdI8fdZQuLaVJZU6yUcEpPFY809gw2GjogENYXxLi8p3fQrf3QS5pof01W+Fi9+GEFzjeULyCOknDT/M5J+QfhL5p+SfxfNgmiaRfnK/Jv8kAtAsySRQIYgNHj05G2YblQD0z1mIdC1KAEa6ByPX/mJLAJpdJl8iezmeRwTm1xGU/1uRM0h2aixSOahfRFbsjcQ5Obm59M44wYfZxtSQckTxVYlk6oXgAtEjHE9shV8Hwp657ofX6gUXTvFrSvCRdHuTvD9NNeMeuxCGNfXIah0UDAS2/gzjb4Y9m11Xq3auvVi+/DTJmg1w5UA4ZiyPyfVtYMZzEKMkYDC8p2soAoqAICAPMcbdDGs+NeIRWwIe+RzOu9ISTl99B1fLMxJTJZfXH4V7ulhSqZN8REAeMHaeD1/+Y1TUvjp80RFirARh7ZwF398CuVlGpTXugIvf8usDUm+2XxjJI6SfRP5JBKCzCOknkX+S/qviOwIS7befE2QUUNJJAjDKkagRgL5DrRqCgIB+KgQBZF3CLQJKAJ7iYEhNCXuEoL3b8A4OW2grAhXzOg1X+i9KUDsN++fdmJWby20Zx5mXbYyaqhJlY2F8MjVt/ouk84/FTlokvUWIwJRtrqrrPQ4Nhvp1yb8kRcdNZ+D3roDbtDOwX7H2SdnJ4/DmfbD8PVc1cgN953h7RKDpZmL179DuAThhLI/JzW3hvaeVBPTJJzpZEVAEPEMgMx3G3gg/fm4cH5cAj3wBDa/wTI9p1Pfr7ZHOKaYkjaG94fEellTqJD8gMGAFTDSVGDm3HKy8FpKtNKPa8RGsuRVyTSxvzbvgoqkhI/8EqlMRgFLrTyL/zOSfNPoQ8i9WyT+fT5tkbck92VHcNdYjrza73GtJ3fZgS2HksDt7NAIw2F4Kz/WUAAxPvxQHq5QA9MLL0mHK2Gn4ANkWKEHpNOzcWKQmZbEVUK8ih+PksIcYtLK1O1fJhdcN6cdYmmNMFakVZeOr+GSqhDMJmH0S/hwJfw5zTXU572U46wEvTmfhQ5fsgnamzsDx0bC0KzTVzsCFAxjMEcvehTf6QboprE9saHoD9J4KSWUMFq34BdoPhlTT9fFtV8HbT0J0GPPhwYRW11IEFIEAICDk35hu8PM8o3IpXfDIXGjQxtKif/4NLfq6NjwacAOMG+TXYHlL9hXXSZN/h/tXGHdfMQG+7wa1SltA5Z8PYM3tgFMXEVFT615HVoSVcEILdhQwpSCS56SD/JOuv86S4Ej7VfLPdx+kkMEBTpBlPhuAECiS8luWRKQkUyhECcBQoF401gzNiS0a2OkufENACUAf8JNQ9L844EgZtncaLigs/VTL5Hcazo8SrEOF/zoNpzGdE/QlmvOIp1vev2hq+GB10Zt6IjeXLulH+SHHmDJyTlQ0C0okUz4qtBeOhSK+6xNYfYPrhe8l74CkvfhRXlsPfUydgSs7OgNXL+XHhVSV7wjs3mhPpfv7F1ddFWvCoA9BugU7ydKfoeODcNLUNLFnR3jzcZB6WSqKgCKgCPgVgYw0GHMdrF1gVBufBI/Ng/rWCvTt3AfNe8OOvUa1t1wJ05/RzzO/+tALZV/9A53mQbYT5xVngyVdoXkVLxTlD93+Lvxwp+s1UO2+cMEkCINrOHckTx75l5NNpikQIDEqijoa+WfhIBinCOF3kBQk+MKdxBOTF/UnP0MpSgCGEv3IXlsJwMj2XyRbrwSgH70nX1bb8joN29OGpbmIPLnyVmKxcSYV89KGW/AEJfjWoCKGS4jneuK4lmisXG15a1H4jz+cm0PHtKOsM6WOXGiL4Yv40pQOgwvIU6K47Q346V7jEGkG0uxTOL2zXx3gLm3n/Arw7bWQFPzsCb/urcgpkxvr6Q/DlxNdtxYdAzcPhc4PGe6EF/0AnYdAmumj594uMOVhvWkucmdEN6QIhBKBjJPw0rXw61dGK0qUhMcXQL0Wlqw7dAxa9oUNpioZVzWBz0dpl3NLoPph0oZD0OwTOGb6fpneFm61kqjy9zT48W4wZ9Oc2R8ajQ+bEE8zyZPqIP+y3JB/0vAjRtN+LZ82qckupN9BUsl2ivr7d9ceZr75Pou/+Irdf+/kxPHjVKxYkRo1atCmTRtuuukmGjSw2nbasrked4h2XkFTgK3jXZRmKgFYlLwZWXtRAjCA/pJOVTs54tRYZC+Hveg0XJLjDOMJot2EvdvNjiKWFsRxPfF0wUaFAO4m/FXvy82hXdoRtuQaU0ha2GL4JD4ZSckIa5F04HWPGk20lYCWC6Gi1XZ6rjuWwt3y9H6hqTPwtbVglnYGDs8j8sNn8MqdkGJqtSjWNmoH970LZSr/3XVFmwAAIABJREFUZ7sUzO/yCGSYmij2vRYmPxQ291ThibVapQgoAp4hkJ4KL10Dv31tHJ9QCh7/Es5u7pke0yip9SeNjVavM77QuD58MwFKujZEt7SOTvIOgf0nocls2HbMOO/Ji+AFYzC6Z4q3vg4/93Ide+YgaPRyWH1ROROAVc88My/yz0z+JTki/5T888z97kZlks0BUkg1BU989MZ7DBv8NCnHTxSofODAgYwbN8764hZnagSgReB0WoiS1hV4RQCUAAziKZCnWvs4YYgQ3IPpSsrJntps4R7eJPkUY/4/PJpYLs9LEY7jamwkB3Fn4bPUPznZXJV+lJ0mEvAqWywfxJcO705sUkPm94dh02gjoDGlofUyKHO+34CWzsBNZ8NGU2fgJy6CF61cyPvNMlVUIAIHdsCE7vCnMSI4b3xyZeg/Hc5r+9/0eSvh2scg09RMUWtn6RlTBBQBnxFIS4FRXWDdYqOqhNLwxFdwlrUW8/J51fURWLDaqPbs6vDtFKhgLH3q8zZUgWcIpGdD28/h2z3G8TfUgQ/bgc3b56tbpsDavq6Ln/UQNBwVVuSfGJlP8kTFxJBeu5ZL/e+SDvIvOtwfNHvm7qCPkvsjafBxmFQkeMJZpo2bwtAHnsr7U/Xq1enTpw9NmzaldOnS7Nq1i02bNjFnzhwaN27Myy+/HHTblQAMOuRFZkFvPzaLzMZ1IyFHQAnAELtAvuwkVTg/bfgfU6fhKHI4k7+4mJ84n7WUxNTm0639ccTRzpEm3J4okkK8y+Auvykni6vSjnLAdBHRLTqON+NKEdYXaEIC/ngXbH/bCFp8ZWizEkrW8RuYm4/Yn+YfNpVXeb8tdLeSyuM3y1RRgQhkZ8HsF+z/TEXH8zoDd30UbnwOYuy53J8th+ufgCxTU8UHb4GX7g+7eyx1vCKgCEQCAkL+jbwa1i81WpuYDE8uhDMbW9pFTg70eAGmm7KJq1aEVa9BdW1WZQlXXyfJV03PxfDuRqOmSyrZm4glels65K9J8Et/V7POfhQaDAvLLyYheVIyM8mJiYE6tQy2l4qKonZUdHhfW/p6CAI4P50s9ucl/ZqeVgK/fP8TNzbvSE5ODldffTUff/wxCQkJbq3JzMwkNtbbw+j7xpQA9B3D4qpBCcDi6vnQ71sJwND7wGCB1AyUTsNSQ1BIwS0c/K8Gho1s6vEnF+WRgb9RAlO7T7d7SSSOjo7IwCuJIj7MdhwYc37LycqrCXjURAL2jI5nQlxJosL5Ka00M1ndDfZ8bgQnqRa0XgkJ/qv7uHinvTOwczFv6Qy87Bpo8v+M0sA4SbVaR2DdEph4Kxw2hWOIxrOawcAZUNHeLGj2Erjpacg2kYCP3g7D+oTlvZZ1XHSmIqAIBBaBk8dhRCf4w9QCVrqSP/k11LnY0vpCMj04AcZ+ZJxetpQ98q++kXOxtIZOsobA8J/g8e+Nc89IgjXXQxVvny9vHge/PuBqSL0n4dznw/YLac2mTRzJzKB8bBxRTgSgkn/WzpTMkki/I6RyhJPmCpB5SmOw0fXCK/h17S95df7Wr19PUpK3B866fZ7OVALQU6R0nBkBJQD1TIQKASUAQ4W8h+vKE7FVbGMaawxPx2LI5Fw20IlNVGUNeFBbMIrkvPRgaSASS6u8CoJFWb7LzqRr+lGXmMkBMQm8GJsY3iRg9klY0R4OLDe6KLkhtFoGcWX95rpX10E/0zKnJcKablBNOwP7DWe/Kzq2Hyb3hLXzXVXLzXjvN6Bpt7zXPvwabn0OJMLGWZ66E5439Z7xu52qUBFQBIoGAqnHYHhH2LjSuJ+S5ezkX+0LLe9z5Hvw6KvG6Qnx9pp/zRpaVqsTfURg9ha43hSRmRQD314H0jzMK9k0Bn57yHVK/Weh/jNeqQrm4KXZGfy5eTO1snOp4EQAlnZE/tnC+YFyMIHyYq2TZOZF/UnNP3dSmhJsXP0rLZvbmwhNmjSJ++67z4sVgjdUCcDgYV3UVlICsKh5NHL2owRghPhKmomMZVleUxGznE0S95NKCeaRgRTjNlX+d7PHKMoTzzV5ZGAMzYnCFiFIeGfm4uwMbkg/5tKL+enYRIbEhnkl8cyjsKw1HPnFuOnyl9obg8T4z/77l8NkU8F17Qzs3VkLyWhh9OaPh/cfgWw37/t2feGOMRCXwPQv4Q43mcNCAAoRqKIIKAKKQIEIpB6FYR1gk6k4X6ny8NQ3ULORZfDemgt3DzNOj46Gz0dCR2t9RCzbohP/j8CP++CyOXDSKTNTbljndIAu3kZkumtyJkud+yKc80TYwv51dgbd04/x7D97OdOJAEyOslEryoaSf965Trr6HiKVYwVkMMURTQVKkkAsgwcPZuzYsXkL7N27l0qVKuX9fuDAAQ4fPpzXAbhMmdAXBVUC0LszoKP/j4ASgHoaQoWAEoChQt7Cumlk8hbfs4wtLrOTiKMvl3IRpchgLunMJhOpz+P+6ZqzAhtViOO6vDThGC4mqoj1Jfo8K53bM4679FJ+KTaJPrHua4lYcE9gpqTthaUt4MRfRv2ndYTmc8DmnyhO6QzcYS4s2mlc5rraMPMqCwW+A4OGai0IgS0/wribYa/rZwPVG8Kgj+CMc5g2F+4y3WiLyuF94NE7FF5FQBFQBNwgIOTf0KtgsykPtFQFePobqHGeZdg+X2FvVmSOTn73Kbi9g2W1OtFHBHadgMazYXeKUdFLzeChC7xU/seLsN7exMEgDUZAvUe8VBa84QuyM7jN8QB5hBMBWPbMOtRU8s9rR6SQntfhN8vlapy8u44yJFKGBGyOe5BLL72UVatWUbt2bf766y+mTp2a1+RDmn7kyznnnEOvXr3o168fcXFxXtvkjwlKAPoDxeKpQwnA4un3cNi1EoDh4AUvbVjCZt7ke7eh852oT3cuyqudkcN+0vmMdGblJRLjtsqGcXEbNfKIQIkMjKZBkSED389Ko0/GCRekX4srSfeYEl56IMjDU/6GJc0hzVTvrfqtcMm7EOWf6M3DadD0E9hkCjJ98iJ4QTsDB9npFpaT9LzX+8DKGa6T4xPhzonQ5k5e/zyKXiNdh4y+Hx7sbmFdnaIIKAJFF4ETh+3k35YfjHssXRGeXgzVG1je+4pfoN0gSMswqhjTHwbfYlmtTvQRgZRMaPkprD1gVHT3OfB6ay/K9Elhxw3PwR/PuVp03mj4H3vnAR1V1bXhZ0omPaFXpUhTbCCgSEcEC4IiIDY+saBgwa7frwhi759YAMWGXUFUEAsivQmIBUURAUV6TS/T8q99ZwJz78wk0zOT3L2WK5icss8+J5l737P3+7a9M0xPo9ddLo5HWfOP1NOUA4CNLRZOat3GZ+afcNqJlEVNsQySj4B1Fa1ZAD8B/gQA9GUpmJWsv2TMqh/Xrl2bnJwc+vbtS6NGjfjgAx/PNu4ePXv2ZO7cuWRnZ8c8/DoAGPOQV5sJdQCw2mxlwi1EBwATbstcDv/DIaUkeDd5XitoS31upTf1PNR/HezEyqdKZqCddQGt2kRbt5KwZAYmvizsNFsxd9vU19kCnb1jyWSwOc7FUXJ/hcU9waZB51qPg1OfD+KJvOKtF/BPlIFzNM9p7/eHy9oEdGz0RlUZAXnhWvwWvHEzlPpQDO9+GYyexpSvsrjpWW9Hn78Vbh1RlQvQ59YjoEcgbiJQcAge7g/b1qtdym4IExfCMe1DdvWXv6DXjZCruZe790p44saQh9U7hhkBZxkM/Ro+26YeqE8T+GYQWEwBTiCfRb9NgD8e8e4gzyxtbg1woNg3m20v5Rprvqp+RgDAU53QMMlCmza+H4akrHU0GhWb2LsfsxmnMwLh6vNnZZSRTymHKMThIwFBMv3qkKaMoa08EtVfs9lMWVkZycnJlJaWKiDg008/zcCBA0lJSWHt2rXce++9rF69WnFh2LBhzJw5M2brL59IBwBjHvJqM6EOAFabrUy4hegAYMJt2VGHhUT3VVaykr+9VpFJMjfRg47IFqvNwTYFCJT/HGiI3/zEw8Qp7szAoZhwqYsmoj1lK+JhmxoYkaKBmclZnGWqmvKBgON4cBUsPRscGmDnxIfhhPEBD1NZwwX/wrlfeCsDL70ITteVgSsLX3z8fMfv8PwI2L7B25+GxyklwS/80Jlbn/f+8ct3wo0u7RDd9AjoEaipEcg/CA+fDX9rOGhrN3Zl/jU9PuTIbNsF3cfAbk2G2dUD4fX7InafFbJ/Nbnjf1fBkz+qI9AmG1YPhTqBFksI+PfrfbDpCe9QdngJWsenmIM4+5G9hOutBV5Fqu/8u5+2Tkgym3UA0L2rFQGAIu4hIh/ynuLL0rAoSQpJ+EaUCwoKyMw8qkKXlpbG+vXradeunWq44uJizjzzTH7++Wfl+99//z2nn356TH+FdQAwpuGuVpPpAGC12s6EWowOACbUdnk7Kzds37KJGaz1yatxESdzCR0w+RH5sPOHGwycidMHt6Cv8Jjp4s4MHIKJxgkVQblNHG8r4gV7scpvkdP4PDmbrqbIcOpFLSh7voYVg6DMg5VbJus4BVqNjdi0U36Fm3woA68dBsdkRGwafaBoRsBaDG/fBfOneM8i5/yKJ3g29zbuetm7hPyVe+D6i6LpnD62HgE9AnEbgbwDLvDvH9dL9RGr3QQmLoImoVcE7DvkAv/+0vDNDu4BnzwGZnUVYNyGqDo69ubvcM0izZYnu8C/toFqLQj4t+Ee+PMZ7xB1nAqtxsRt6IQqZqy1wCtX7WpzCrf8sxu73a5kpekZgK4t9AUAyjtJLiWK0If8W2vyLlKXNKXgtyK+cYl1UtLR5/Fx48YxefJkn2dn3rx5XHDBBcrPRDjk2Wd9lDdE8dTpAGAUg1vNh9YBwGq+wXG8PB0AjOPNCca1rRzkeRazF2+euxNoyDh6Kan2/kw+qB38ovAFSmagk38DmN5AEj2wMIxkBmOkXgB9qr6JgIDjrAW85VDXuWZj4MuUbE4xxvkbyPYPYM0VGk5HA5zxIRx7ScQCLACgAIGedlp9kEzA9DjHSSMWhOow0PezYdq1UOitIE7H85hcbwa3vVnfa6Vv3AdXu56pddMjoEegpkTgwHZ44gLv7OG6x7jAv0atQ45EXiH0vRnWb1IP0eNUmP88pMY5E0fIC0+Ajkt2Qv+5YHMeddZshG8ugLO8C0l8r0jAv5/vgL+0qeUG6PQqtLwubiPxpr2EW32AfzeYUxDBOBGh0AFA9fZpAcBS7ErWn3z1ZQL6Sdafv4QEbZ/U1FRKSkqUb3/xxRdK6a8vkzaSLSj7I1yAS5dqbq+jfOp0ADDKAa7Gw+sAYDXe3Dhfmg4AxvkGBeNeIVamsoK1bPfqlk0Kt9CLkwPI2CvDiZ217szA2ZSxNwA3TCRxllImbOECjMSeiDcAJ480cZSVca01n08cavbxehiYn1KLNsZAiW6CmTWCbf96CX66RT2gIQm6fwGNBkRkIpsDzpsH32kyNYa1go8G6MrAEQlyrAbZ/w9Mvgz+XOU9Y+3GvN3mPa6a3Vf1M4MBZozXlThjtUX6PHoEqjQCAt4segNm3A7F+WpX6h7rBv9ahexiqRXOvxMW/qAe4uRWsORlqJ0V8tB6xzAj8FcunDELDmm4f1/tA6MDpXmU8/PTONjyksYbA3R+HVpcHaaX0es+3VbMHRp+aJntJnMKjyelYzAYCATkqakiILLuwxSRS7FPqUERJaxPBlL2G4y1bdtWibuYlPiecop/tfHGjRuzZ88ejj/+eH7//fdgpgm7bSBnQzvJjh07OPbYY8u/Lf/QPGmH7ZY+QAJEQAcAE2CTqqmLCQcAbmYRheynPu2oTxssFWS1VdM9q3BZksn3Jb/zHuu8SHflD80wOnAxJ2P0UxKsHVzyAm2swKpkBn6mfMxXbhYsDHCXCZ+LwUOMpPK+sWthKyvjstI8vnGqOUqOMRiZn5zNsfEOAv72oLe6nikNei2EupGR7RVlYBEF2Zyr3pcJnWFSbGlWYncwqutMdhvMfBA+exzkZc3TDAYWtxjP2csm4PBQ4jMa4d0JcFlkMOXqGll9XXoEEjsCh3bCK6Phx6+811G/uQv8a9Ay5DU6HHDpBJilKS9t0RhWTIMm3gnIIc+ldwwuAvIZf+Zs2KRJEL/jVHi2e4BjlTnhx5th61RNByN0eQuajwxwoNg3e9lWzH99gH+3m1OZlJSmgH9ioYA8sV9N7Gcsxsp+ChHOP1+WTSp1SA34ncNzjIsuuojPP/9c+Zbw/3Xs2NHvAhs0aMD+/fs58cQT+fXXwLjNIxWtUM6GDgBGKvqJPY4OACb2/iWy9wkHAH7FRPbxhzvmBmpzLPVpSwNE+7YdmTSskFcikTcrGN//ZD+TWcIB1Kq3MoZkAd5CT+SDORgrw4aNRUqZsJUvFH2vyi2dZM7HwsVY6I+B+KrxKS4r4+LSXJY71SULrQQETKlFA4M3P1rla45RC+XG/RbY8rJ6Qksd6LMMsgK9uq/Y302Hoetsb2XgD/vDCF0ZOEabHcFpflkAL42EnD1eg27L7kHvP97jX0ezIz8zmeCDSTD8rAj6oA+lR0CPQNVHQD5Dlr0Lb47zTREggkEPfAcNWoTsq0xx0zMw9VP1EPVrwfJp0Pbon5qQ59A7hhYByfI/fx4s0OQeXdAcPjsPTIE8/gj4t34MbJuuccIIp78DzS4PzbkY9HreVsQDGlE4mfZecyr3e4B/8r1QQJ4YLMHvFGVI6WwSBj8iG+H65sCp8PyJ8rEvs2BSsv5SCJ0v5rnnnuPOO+9Uhp81axZDh/pWJ8vLy6NWrVqKYvCAAQP45ptvwl1eUP1DORs6ABhUiKttYx0ArLZbG/cLSygA0IGd9xmF04+qlEQ7hSwVIFiX4zAHmXYe97sWoIP5lDCFFaz3kVlem1SFF7A9jQIcTd1MHi6szHeDgV8DalENX4MayFbKg5MZRhK9EQbBeLC8MieDS/P4QQMCnmQwKZyAteMaBHS6+AD//VAdytSm0GcFpEdGsfnbf+E8jTJwisnFB9hFVwaOh2McnA85e+Hlq+Bn7wflInNtLt/zBp+XHFUBMZtg5iNwUe/gptFb6xHQIxCnEZALgFfHwDpXho2X9RkFV/0P0gNVf/A9zKTX4cHX1T/LSIPFL0Gn0IWE4zSoieOWALNjl8ArG9U+n1IXlg+BzECqNcsc8MNo+PtN9SAGE5z+Hhw7Im4D8rStiId8gH/jk9K4N8mbLzsUkKeqFu+k0C3ql4KJ1hgCrPgJ1F9h+TtIoU/hQRH2qEUq8o5RkchHIHNt27aNVq1aKcDeFVdcwbvvvuuz24wZMxg1apTys4cffpjx48cHMnzE2oRyNnQAMGLhT+iBdAAwobcvoZ1PKABwP5v5kuD+sBsxUYeWNFBKhl2ZgmnUSehNC8Z54eaYy298yHrk355mxMCldGQQJyH/DtWc5GPlK6VM2MoCqACgLZ/DQF2SuUgBA810i/gDSrBrOVjm5NySXP6QB1oP62I0Myc5mwx3GUiw48akvdMKKwbDXg2Yk9EW+i6H5MjUV720AW5Zpl5R4zQQZeCmujJwTLY6opM4nfDFs/DBfeDwJu1+seBm7s55mlJSlGmTzDD7cbgg0LKwiDqrD6ZHQI9AxCKw8iN4/SbIP+g9ZK1GcMN06BS+AtDU2XCjRgzWkgRfPgv9OkdsNfpAIURg8s9w2wp1x4apsGYYNMsMYEB5Vlp3DfzztrqxwewSJDvGd7ZWACNHtYmASY/ZinjC7n1pLSW/d/gA/8ShUECeqC7Ez+DyPO5gK7hLcoWP20jLiDxj23EoVUXCN+7LJNuvPulYPGhEwo3BiBEj+PjjjzEajcyfP59+/fqphhTevy5duiCAmsViYevWrTRt2jTcaYPqH8rZ0AHAoEJcbRuH/uZdbUOiLyxGEUgoADCP3fzJd+xjEwfZqkhVhGLp1HeXDLsAwdo0R4DC6my/s1cpCT7sI1OvI025iR5kul/0w4mDk8NKebAoCdtYfOQhpKIxjTRWSoRdYGCnsG8NQ/V/t9PBOaW5bJOSFg/rY0xiZnIWKfEMAtoLYenZcGi1evm1O7k4AZPCZ1hXSrmWwtTf1FN0cisDp8VHQmeo219z+23+Hp6/FPb/7RWDn6ynMuLQR/xpb6f8TF7eP38Szu1ac8Olr1yPQMJGIG8/vHYTrJ7pewk9LodrXoSM8C9JZy6EEQ+o6UblI/Sjh3U6gao+P1/+A4O+BKfHnXCyCZZcBGcEktEv1RJrr4J/31cvRYTIun4MTY9mj1f1Wj3nF/Bvkq2IZ32AfyL2cXOSf1qcUECeWK/dSQ4O5HNc/QxrpAmmEKt9ZA3CLZ7vzvrTJhLIzyWBoA5pZJES8ef3f/75RwH4hN8vJSWF2267jfPPPx9RCF6zZg2PP/64Av6JPfnkk9xzzz2xDntI4LAOAMZ8m+JyQh0AjMttqRFOJRQA6LkjIk1xkG3sZxP7+FMBBUvQKBUEuIVmRZq+zRFQUMRFkql+KU2i0PUSy/iF3V6RqUs6t9FbYVKMlDnZrwiHCGegnZUBDWukBcluMNDESRF/mKjMib+dDgaU5rJbAwJeYLLwjiUTczyDgNZDsLgX5GkQuvp9oceXYHJlcoVj/pSBh7eCD3Vl4HBCW7V9i3Jh2mifwECBM52bcl7m7aKrFB+TLTD3Keivi8BU7Z7ps+sRCCYCaz6F6WMgd593r6z6MHoanHFxMCP6bfvdOjjvDrBp7min3AVjIzNFRPysiYP8dgjO/ATy1dpnBMzpK+Dfmithx0fq8Bkt0HUWNBkUl2EV8O9+WxEv+gD/nk1K5/oKwD9ZULwDgE4O4mC7Atd5moEsTEoGYGhJDlbsStZfsZ/KHlH2rUc6SSGOH8hhWbt2LUOGDGHnzp0+m4tQy3333ccjjzwSyHARbxPK2dABwIhvQ0IOqAOACblt1cLphAUAtdGXG6oC9h8BBPfzJ4f5R7m5CsWyOcYjS7AdWTSOORgVit+V9XHi5FM2MJOfvCJjwsAVdOJ82kd8rQ52YmW2khlo54fK3FR+buE8MngNI+FnrwU0obvRH04755TkckgToctMyUyzZGCMZxCweCcs6g5F/6iX3GSI62beaA4mFD7bHnIrA/+lwdsndoYHdVAo7PhW2QCS4vnday5BAJs3sfc7hVdyY84UCsoySbG4yvj6dqoyb/WJ9QjoEQgkAgWH4I1xsPw93627DoPrpoCAgBGwH/6APjdDQZF6sInXwIPXRWACfYiQI5BbCl1mwWbNZ/ekLjChSwDDOm3w/eWwc5a6sTHZJSXc+PwABol9EwH/7rEVMs3u/bk22ZLBNebKL0dDAXlitVIn+3D44Po2UhsjzUMq/5V3pxyKlaohX+9RJowK8CcFv+Fy/QUSp5ycHF566SU+/fRTtmzZQklJCU2aNKF3797cfPPNdOpUdQ8joZwNHQAMZNerfxsdAKz+exyvK6w2AKCvAFsp4gB/IWCgZAnKV1sAYhW+xkomE8kMLFcbrkcrJHMwUW0Du3mRpeT6UPDqQjPG0l35YI+GCT+JAIHynwNNtppmQikJzmI2xhjzNv7otDOwJJd8DQh4vTmFZ5LSkRvHuLX8zbC4O5TuV7vY4lroNB0i4Psfogz8CeRqqGA+GgCXtI7byOiOBRKBf3+D50eAfNXYZltrpST4R9tppKXAV89Cr46BDKq30SOgRyDmEVg/D14ZDYe9s/6VMt9rX4ZuIyLymSBr2/wvdL8B9ueoVzp2CLx8V8SmiXkYq8OEUu475CuYo2F6uKwNvHd2AHsjXMOrL4VdGjlnYwp0+wwanROXYRLw7w5bIa9pwD95gnvZksHIAMA/5Wxv3ozdbsdsNtOmTZu4WKsAc05242SPlz8Czxk5NiRwrgQb+xWmP980S5kkI1VDAgLqFtrZ0AFA/eRIBOL4TVLfoGoegWoNAGr3Tj4qc9ihAgSFVzAUk3T6OjRXiYukUy+Uoaqsz2GKeIGlbGSvlw8NyOB2+nAcdaPqn53f3WDgLLdqmfd0Jk4kmzkYaRBVX7SDL3fYGFLqDZHeZU5loiU9pr4EPdnh9bCkD9jz1V3b3QsnPxH0cL46zN8O588Dh0eSrSgDLxsCnWO7VRFZjz6IRwRKi2DGHbDgFa+wWMuSuDv3aV4oGEd6qoH5z0O3k/Xo6RHQIxA3EZCS/rduh8UaddZyBzsPhutfARH8iJDt2g/dx8DfmkeqYX3hw4fAFFoFYoS804d5eB1MWKOOg/D3yud1amWFAY5SWD0cds9VD2BKhW5zoOHZcRvg/9mKmKBR+xXY6hVLBpcGCP7J4uINAHSBfzsQqh2tGWmI8P4Fm5knFUKS8SeZf75Mynwl60/KfnU7GoFQzoYOAOonSCKgA4D6OaiqCNQoANBXkEvIO5Id6BIX2YLwC4ZiadRVMgTLFYcFIDRGUA0rFJ8q6+PAqZQDS1mw1swY+Q9dGEC7oB8kKptX+3N5mHHws8IXWMI7lHFI1cRIK7L5AhNyZGNn3zisXFqa53UP+lBSGrf7UYuLnXeVzLRvMSw/F5yl6oYnPw3t7oqImy/+AuOWq4dqkg5rhurKwBEJcFUPsmomTLsOivO8PJlTPIhrDr+BNaUe306GM06samf1+fUI6BHg5/kw7Vo46CLGV1laNlz9AvQaGUDKV+CxzMmHXjfChi3qPmd1clEFCG+oblUXARH9uGCemh2uXgqsGw7NK1P8dZTAqqGw50v1Akxp0P0LaNC36hZWyczfOaxcXJqnksQQHPp1SyZDzcFV8IQC8kQrMAL9OdmOU/OcLPMZaYqJQJRc1N4VYVW4/mxu9WCt79mkUodUjHGc9efEUSWCjqGcDR0AjNZvR2KNqwOAibVf1cnbGg8AajfTgZ1D/K0SFxEWjFDMpJDjtvYQF2lLCpU9bYUyU/h9fmQHL7NcUfrS2pm04Aa6kUpsZF4dbCaXwcrtpqfekmuHAAAgAElEQVQZaaZkAppoFf6Cgxhhtr2Uq635Gl01mJyUzjWVEEcHMU10mu78zPXwrvW+8xvQ4uqw5xTauLFL4JWN6qE613cpCurKwGGHuOoH2LcNJl8GohassR32plxx6D1+tvRmwWTofELVu6t7oEegRkagOB/eudtn1q4Sjw7nwg3ToW5kL9GKS2HAbbD8Z3XUT2sHi1+CzDhPlq/uZ2VLLnSeBTkej3ZGA8wfBP0qOwqOYlg5BPZ+ow6TKd0lLFa/V9yGb6vTQZ+SHA570LjIy/bblkwuChL8k0WGAvJEIzhyVe5gG2VoL+WkLulYhZkvGJMkgIMU+nz2l3EsmKlPOikxev4PxvfytgL8FXEIK4XUUmIQ23TjUM6GDgCGstPVr48OAFa/PU2UFekAYCU7JZlphRxUiYsIQCg3cKFYFk1U4iLZSpp+fPBoyO3fZJYobIlaa0wWt9Ob5jHi4hM1s1wG4WSryhUjjchiLmaODyX8IfeZYS/hZmuBqr/84Zab5OEhPEyG7EgoHf9+E9Zdo+lphG6zocmFoYyo6iPKwOd8AYs0Am0jWsMH/SOaaBK2r/oAIUbAboOPHoDPn/QawFFm5OH8B3ip7AG+fcFEx3YhzqF30yOgRyC0CPy2GKZcDfs1BG8yWmom/Oc5OOvaiP8xttvh4vtgriYLvPUxsGIaNKgT2nL0XpGJQKHNpfi7QV1QwVNnwt2Vcbfai2DlhbBvgdoZcwb0+BrqdY+Mk1EYpbCsjH4lOfxW5lCNPiEpjbtDrNwIBeSJ9NLKsCMc2iJ5qDYB/1ogoh+BmuvdxpX1JyCg1qR8uDap1CI16hVAgfrsq51wvYsApNNdp5NMBpkhZECG40MoZ0MHAMOJePXpqwOA1WcvE20lOgAYwo7ZKFFKhcuFRaR0WG6eQjEL6Yq4SH136bBkDCZRuSJZKHMF0seOkw9Zz1wf4hzC/3ENZ9CX1jF5IBBiYwEBHfyhct1AHbL5HDMdAllSxNq8aCvmPpt6n4U65/3kLM4zxXmN06ZnYMPd6liIcl/Pb6B+77BjdFCUgWfBFs2ldMDqgmF7oA8QkwhIeeFLIyF3n9d0S0p7cbPtPd5/8RhOjm2SbkyWrk+iRyDuIlBSCO//H3z9om/XTjoLxr4B9ZtH3HXJ/r72MXhznnroRnVh5SvQsknEp9QHDCICsj9XLIAPNqs7DWsFHw+oBAu2F8KKQbB/kbqzOQt6fg11zwzCk9g2FdGPUdZ8ZjvUCmWDTRbetWSGLOAWCsgTyZWXKcW5WyhDI6+t5Lsdh5GsgKcTGFGAPwEAfZlk+0nWn2T/xatJ1p8kZ5Si4bkGMmlEMrFLPQ7lbOgAYLyerNj6pQOAsY23PtvRCOgAYAROg2QD5rLLQ1xkk/L/oZjr1q059Wnn5hNsq0CEwZL5hjK3Z5+1bGcqK3w+IPSiFddyRkxKApwcIJeLFH5ATzOQTRazSKJruEsNqv+j1kKesKsJkoVJZnZyFr3iHQT85V748ynNA30m9F4CtStLB6g8TL8fgq6zIU/zTCkvG8N1ZeDKA5goLXL2wIsjYYMmMwQ44KjLrda3uP+FC2jfMlEWpPupRyABI/DHCpgyCvb85e18chpc+TT0HwPG6FQY/HcKPPmueursDFg6BU7R/95X+YF6/me4fYXajfa1YfVQyKzovtJeAMsHwoGl6s5J2dBzPtQ5vcrXVpEDz9mKmKgR/TjeYGJhSjaZhtB/F0IBeSIVqDJKcfAX8lX9HCxM3QL+ZQQ0lWT95VHCIYpwepRGl3c2YlDUfUXlN9bvHAEtwN2oVAEvDxzJ+lPHxIgIMsaSbimUs6EDgMHsePVtqwOA1Xdv431lOgAYpR0qIZ8DbHZnCW7iAFuw++DXC2T6VGrTkOM5nnOVr7GyfeTzP5awlYNeUx5DtqISfAy1ou6OaDfnMQw7Wg6ydLL4CAvhZ7AFugi5Xb7XVshUe4mqSwYG5iZn0dkUG57EQP1VtZOUgB9Gw9+vq7sn14c+KyCzTUjDenb6ejsMnAdOD2VgURhcdhF00pWBw45v3AzgdMKcpyj7cDwGp7rMSnx81XYrvZ9+knatgyNaj5v16Y7oEYjXCFiL4cMHYN5zIH/TtXZCL7jxTWh4XNRW8NwHcKcm6TDFgqII3jO2iflRW2MiD7xkJ/SbAw6P45FlgbXDoG1Fj2y2fFh+HhzUIIdJtaHXt1C7U1yHZYFb9MPztyIbA4tTatHaGB4vXCggTySCVUaxO/NPfbNqQGpypBonNaBprNjZTyElfkQOJd9PFH7NMebPC8h5dyNX1t8BSr1KoF0Nkkglg/qYYsxXGMrZ0AHAYHa++rbVAcDqu7fxvjIdAIzRDgk/xWG2I+XC5aXD8kEWrLWjP524Qvmgi4VJ0cG7rONrTRmuzJ2MmdF0pWcMRDmE8ySPS7GxRLPsZLJ4BwvnxSIcyhzOsjJutBbwnkN9G1sbA1+nZNPeGL9lEzjtsPoS2PWpOl5pzaHvCkhtGnYcX/gFbvWhDCwvH6IQrFs1isCfq3A+fxnGA/94LeoX52lk3jqNlj27VKMF60vRI1CFEfhrDbx8FexU02K43n5T4PLH4bxxUcv6k2ne+Qr+87A6BiYTzH4MBveswtjoUysR2FEAnWbCPnWhAp+fB4Mrysq25cKy8+DQKnUkLXWg54KIVAlEc4tE9KN3SQ45GtGPWclZDIhAdUYoIE+463VSiFMp+7WrhjKQ7Ab/Kr9gk6y/HETKsBj5t9ZMimxIulLwG69Zf+K30Cy5sv68LxyFRz2duiSTWSVrCOVs6ABguL8d1aO/DgBWj31MxFXoAGAV7ppLXOTPI4DgQUXZy/vDTeuilAR343qacErMvF/F37zCSop93B72ow2jOD3qfCFllJDHSGx8rVm3mUxeJ5mLYxYPu5tn5nMNz0xDDMxPqcVxYd42R3UhjhJYfr43v0/WidBnKcgDfxgmSSljlsCrGmXgLg1cysCSEahbNYpAwWFsU0aTtO4Tn4vaftwlNLvtUWik1wVWo13XlxLLCNhKYdZD8NkTUOZDgKxNV7hpBjRpG1WvvlwJF94Lds1jyuv3wTUXRHVqffAAIlDqgF6fwhoNResDneGhiip3rTmw7Bw4vEYD/tWDXgug1qkBzF51TQrcoh8bIyj6oV1NKCBPOBFxkq+I4GnfCSTjz0QrDFTOOy3ZfpL1J9l/viyTFOqShoCA8WqSPFHAAb886xbSlJLfWGf9ecYrlLOhA4DxeuJi65cOAMY23vpsRyOgA4BxdBrsWL3ERXwR3Ja73Iaz6MxI5AMwFrabPP7HYv7hsNd0zamtlASLWnA0TYiQ87kOK7M10wgLysukcGU0p1eNXVpWxojSPL5z2lTfb24w8k1yNk3jGQS05cGSvpCzXh2vOl1dD/zm8FL1RBl4wFxYrKHCvLQ1vK8rA8fsjMZsorIyiue9gvHt20j2QXXgMJgVPjLT8AcgW68Fj9m+6BMlfgS2/ejK+tu+wXstZguMeBgG3QlR/rxZtQH6jYNideI7T4yFe0cmfpirwwpuWOx98XZ+M5g7EIz+3jSth2DZADj8gzoEyQ2g13eQfVJch0ZoWf5jzeczzWXshSYL74Qh+qFddCggT6iBE9obB6LorQb7DaS7wb+Kb1GdODlEMblo0kDdDknxsIh8pAYAIoa6hnD7SdaflPpKooSvxAjRPXZl/QkBT9XCKKGcDR0ADPeEVI/+VXtyq0cM9VWEFgEdAAwtbjHpJR+A+exhO2v5mVk+OQTTqMOZXM8xhC/iEMii5CbxLdbyHX96NU8liRvoxpm0CGSokNvIw0ABN1HKe15jpPMsqVwf8tjBdiwsK+Oi0lxWS2mth7U1mJRy4PphkE4H60vQ7Uv2weKeUKDZy4bnQvfPwVj5DXNFc/pTBpZMBMlI0K36RSDv9w0cmDSC45y/+1ycMzkD44V3wwV3QEpgxOXVL0r6ivQIBBABuw0+fQxmPwIOHxk8rTq7sv6OaR/AYOE1+W0r9BwLhzWCm7ePgGfHVaIoG97Ueu8AI/DaRhi9WN34uCxYNwxqp/gZpPQgLOsPOT+qG6Q0gl4LIeuEAGevumbP2op4UCP6cYIi+lGLDEPkXq9DAXlCiYqTgzjYDppyXQNZmGiJAF8VmQMnu8jzm/VXC2EVT0MEP+LVHNgpZD9WL8Vjl8cWpWRZsv7io5wklLOhA4Dxevpi61f8/hbGNg76bLGPgA4Axj7mIc2Yz15W8gp7+M1n/1b0ogtXKbdhsbBlbGE6qyn1UVpwDsczks4KRXG0TJSXC7mHEl7xmiKNSaRxR7Sm9ho3p8zJwJJcftGUn3QwmPgiJZvseAYBC/+Bxd2heKd6XcdeBqe/C2H67k8ZeNY5MLRVzLZInyiGESjOL2HuAy/Sf8dj1Dbm+J45uyEMfxDOuhbMcSycE8O46VPpETgSAcn2k6w/yf7TmghNDZvgqsWNwe/O9j3Q7QbYuV/tyJXnwIwHoko3qB+IACOwZi/0/BSsHgljaWZYdTGcUs/PIKX7YenZkPuLukFKY+i9CDLbBTh71TX71mFlaGmeCiqr5Rb9aBXhjNhQQJ5gI+NkHw52eHUzUgsjLRCuu4pMlH33kOeTqkc4u+uToXB3x6u5sv7y3Vl/3lQHRiXrr54CAFZ11p9nDEM5GzoAGK+nMLZ+6QBgbOOtz3Y0AjoAmECnQUCvP/mOdbyLHbUKrSwjlVp05TqaERvS/R3kKCrB8lVrx1GX2+lNAzKjFmF5WCjiQYp5zmuOVO4hjfExe0jYX+bknJJcNmtAwDONZj5LziYtgjfREQ9o3kZXJqCUAnlaq5uhwwthp3f4UwZePgROqx/x1egDxkkE3v3kEPvfeJyxaS+SYtDUDZb72LitS7jg9CFhn7M4Wbbuhh6B0CMgmX5znoaPJ4JDTS2hDNr8VFfWX4vYcLIdyHFl/v2h0fg570z4/ElIil8sIfQ9SLCe+4pcoh87CtWOC9XGZW38LEay/5f2g7xf1Q1EBKyXgH/+OsZPcLY4HfTxIfrxSXIW/SMg+qFdaSggT6DRkmdZJ3twsturi5G6GGlW6bOsjLGPAgo0FBwClNUhjWxSKh0jUH+j0c6BjQL2Y/NTtizJDQL+CQgYbxbK2dABwHjbxarxRwcAqybu+qygA4AJeAqEEHcVr7ALzc2tey0t6c7pjCIlynx8Mp2QDL/O9yxli1ckRVVsLN3pQrOoRrmIpyniIa85UriJdB6P2UPPTqeDAaW5bNeQtPc3JvFhchaWeAYBD652vRA4itRxbP8gtJ8Y9v49/zPcvkI9TNN0EGXgxuHRDYbtmz5A9CLw059wy/3bubZoAv9JexujwVuFUJldRAyufApO0GVEo7cb+shxHYEdv8OUUSBKv1qTbKYh98HQ8SC8fzGwgiIX598ajZhT1xNhwQuQnhoDJ/QpKoyA3Qn953hz7d5+KjzX3U9XKftd0gvk4s/TUo91Zf5lxH9qvoh+nFWSw++aC9eJSWnclRQdTuxQQJ5Ajq8L/NuBE02KLWCkIUaaBPQMe5BCRe3X08wYFV5uS5xn/Ym8XxGHlEh4/enDrAB/ycTvg2IoZ0MHAAP57aj+bXQAsPrvcbyuUAcA43VnKvFLHhr+YjFreRubD56MFLI5g2toQdeor1B8WcxfChBo86FifAHtuYxOyMNItKyYKRRyr9fwyVxFBpMr5U2JlF9/OR2cU5LDPg1/yxCThTctmZjiGQTc8w2sGARlmsyTDi9C65vDCpEoA1+/GF7TUMP1aAwLB0NS/F3qhrVevfPRCOQWwKhHYMuqX3gi67+cn/qV//B0GgRXPBETXjN9j/QIxEUEnA6Y9zx8eD+I2q/WhONPsv6E8y9GZrXB4Hvgm+/VE57QApZNhbrZMXJEn6bCCNy5Ap77Wd2kdxP4dpCfz1QBzJafD3vnqzulNXeBf+kt4z7i/kQ/LjJZeDuCoh/aQIQC8lQWTAG8nGxXJDu0JsCfAICBlLrmUcJ+ClRDCMdfE7LjuuTXgdWd9edd0SSLSSZTEfqIx6w/z2CHcjZ0ALCy346a8XMdAKwZ+xyPq9QBwHjclSB8KuQQq5nODjRqru4xmnMGZ3AtqUT/if0fDiklwaIWrLW21OdWelMvird4JcyggFu8yJOTuYQMpmEgNlxjvzntnFeSy2ENCDjSlMxLlgyM8QwC/vsRfH+ZJoYGOP09aCbfD92sbmXgJRpl4AqzFUKfTu8ZRxEQAPi5D+DeqdDTvIgns+/ldMta3x4K72SfUXDJJKgrH1G66RGophHYvRmmXA2bNOnRslz5PRh8t4sr0+JPxSHycXE64cpJ8MG36rGPbQgrpoF81a3qI/DhZrhMs0eSVb9+ODTwlwT363j441G18wL6SdlvevOqX1QAHjxjK2KSRvSjvcHEdxEW/dC6EgrIU9FyXODfNpzkejUz0Qwj/sgb1c0LsSq8f54moEIjskiLU5VfSRooIded9eddFWDETAb1sRCdbM4AjllQTUI5GzoAGFSIq21jHQCstlsb9wvTAcC436LKHZQP060sYw1vYUVDBOO+RTudq2lJt4BuEyuf0X+LYmy8ykpW8rdXo0ySuYkedFQqz6Njpcwkn9GgyUS0MJBMZmAgOToTa0Zd67AxqDTXazduMqfweFI6hngGAbdMhR9vVK/IYIbuc6HRuWHF70AxdJ4F/2jUJD8aAJe0DmtovXMCRGDZTzBiAuw+UMbw1Jk8ln0frc3e9AHKUpJSYOBtLrGD9FoJsDrdRT0CAUZAULZvXob37gWrumxPGUG4MSXrr230M/g9Pd5z0JWtq838q5MFy6eBZADqVvUR2HAQun4CRR7i0BYjLB0CZ/gDaHd+BquGqJ0Xtd+zvoe06NK0RCpi8x1WhvkQ/ViSUovjIiz6ofU5FJDH37rLcOBgC2WarD2UWpUWGKkdUMiEgkcu3EX8w9NE7COL2F0aBOSsu5HdnfXni8dcmgh1URp14j7rz3PNoZwNHQAM5tRU37Y6AFh99zbeV6YDgPG+Q0H4V8RhVvM6/+I7s+ZYOisiIWkBPlwEMbWqqQCS37KJGazF7oPTYwgnM5wOmKJUElzKF+RzFWBV+ZVEP7J4H0OMbhWXuBXqtEVd9yWl8X9R4qkJdc+8+m18GDZOUH/blAq9voO6Z4Y1zbp90H22WrEw3eziAzyhTlhD650TIAICMlw+ERathySsXJ/+KhOyHqKByZsDSVlORh24eDyccyMkxQbAT4Aw6i4magT2bYOp18Bvi71XIBdD598Glz0KltiS7H21ygX+7TusdistBRa+CGecmKgBr15+Hy6BLrNgi6bQ4tU+MLq9n7Xmb4LvuoDd4+ZNLvWk7Ldej4QIUKxFP7RBCQXk8RXYMoUoR8A/Dd+yAnkdhzFA7m4ZZSe5ODTP2LUV+Cz+MufkvaBYYSmU2hjvrD8TSaQrWX+x/bsXicMfytnQAcBIRD7xx9ABQPUeSh76OGAgcCwokkaSIvAx8DL4IDwL/AwICdnxwOnu/0Qu9RQ4kifdF/DxVKaa4EEgWFb8SYD08zS5S90WoOszgFEBtg2mmQ4ABhOtBGgrH6x/s5LveZNSNGlWykFPpwtX0YpeUc8G3MpBnmcxe71uOaE9DRlHL+RhJRpmZSF5XApepMjdyGJmwA9Z4fo2z17KFdZ8L2bEJ5LSuSkpjh90pGbz51vhrxfVIUiqDX2WQvZJYYVm+kYXJ6CnHV8L1gyDzNhw3Iflv945vAjY7TDhNXj8bdc4mYY87sp8hjszniXdqH0xcs9VvzmMeAR6XA7G6PGJhrcyvbceAT8RkL+pC16Fd+6CEjVfl9Kj4XFw41sxF8IptcK9U2CyPGFrzGyCuU/DubFNRNSPkJ8IOMtg0Dz4cru6wXUnwHR5e/FltnxY1NVb9KPDC9BaKFPi3/LLnPQryfUS/XgwKY07Y3SZGgrIo41sGVYc/KUUwHqa5P0ZaYWRjIA2Q0C/XeQqo3maVNlI9l8gvIEBTRShRnZKFa4/+erLhKIoVcn6S8zP9VDOhg4ARuhwJfgwOgB4dAMHAe+C3yuQP93A4F8h7rmkBb1VQd9oAYCXAx9o5tUBwBA3Ue9WeQSKyeV73uAfVvts3JSOnMlohWA3mib8JFNZwVo0T6xANincQi9OpnFUXLCxgjyGU6YBQs2cRhazMUZ57eWL+shewmhrgded58uWDP5jjs8yDcV3UTNeMxL+fV+9PymNoe+KsAjD5V342kXw5h/qoS9pBR8OgHiukI7KYa2hg36xAkY+BDnuu4qGxj1MzJrE6PTpmA3ql5sjIWrRAa54Ek4dUEOjpi874SJw4F+Ydi38oiFtK1/IOTe5znRKbJUuf/8bLpsIP2/2jmjjevDeROjbKeGiXW0dfnANTFqnXt7pDVylv8m+hLTkg3b1JbBzlrpTsyuhy9sJ8UEroh8jrfl87lBXdIiw2owoin5oD1EoII/nGAL6ucA/9TqEm9pEq4ArU6TcVzj/hG7H01JJUhR/4wn8E55DyforIseLm1t8l6w/4fpL8pH116dPH5YsWRLU7/KiRYuQfrG2UM6GDgDGepficz4dAHTtS0dAmJAlLUauRx8HFrn/X1J5hNhLTEBAkUPzTm+qfH8li+5NdzP56/krKProJ7u/FwgA2ACQ/yoy+She6gYyJVG/kVcqEngCgOOBzysYUIoydla+vKBb6BmAQYcssTr8w/dKWbAQ7mpNPnQ7M5I2nBXVhwbJSvyS33mPdTg0MJj88RtGBy7m5Kjc/tlYTx4XUYa6rslEe7KZo6isxcJetxVzm03Nzyh3nW9ZMhlijuOyRqcNVl4IezTKrRmtoc9ySAk9fsV2VynwjwfUO/C/7nDbqbHYFX2OeIjAtl0w7H5Yv+moN23Nm3g0636GpX3i38WTz3aBJsedFg/L0H3QI+AdAQFgFr8Fb90Gxd7iWNRrBmPfgJP7xTR64tb0z+G2yVDsIylncA94/T6op1NvxnRfKpps7t8w+Et1i/qp8MMwODbTT89Nz8CGu9U/zD4V+q4Ec3SqLyIdMF+iHycaTCyIsuiHdh2hgDzlY0i5rwv88yBtFJ0fLJhojSFAvj55lt5HAQWaTDoLZpqQFTVanVD21EYJhUrWnxrwLB8rlVoKHZHBT9ZfsACg0Whk+/btNG3aNBR3w+oTytnQAcCwQl5tOusAoGsrBervBcpfSPm6SrPD8in2lPt7vkpqAzkQUvorxQxrgJ9AycP2LOkNBAAMZJ7zgPKP6teB63x08gQAr64kMzGQOUNpowOAoUQtwfqUkM9a3mIry3163phT6Mb1yk1cNO1P9vM8SzjoQ6jkFBpzMz2VQoBIm53fyGWw8ujkaVJykc0XmKIoSuI533O2IiZq1OtEl/ij5Cz6m+K47tVeBMv6w8GV6q2p1dHFIZQUusL01lzoNAtyPF5CzUZYdCH0iE5iaKSPlz5eBCJQUuoCI175TD3YGZbVPFfnHrqZl/mfpftlLs60Bi0j4Ik+hB6BCEXg0C549QZY/4XvAfuNhpHPQFpWhCYMbJhDeTD6CZjtg+wmxQLP3gJjL06I5LDAFlwNWm3OcYln5XlgKSYDLBgMffzhHfsWwtL+4MkRJxQe/dZBxnEJERVfoh8CGS2OgeiHNkChgDwyhpN8nGxFhD88TUA/F/gX+LOfPDsLi56nmTHShGwljzAeTLL+hI9cMv98mVkhIpKsv4qrX7Zt20ZhobeooeeYGzduZMSIEcq3+vfvz/z586skBKGcDR0ArJKtirtJdQDQxcn3vXtnXgHG+NglSZiRjL0TQPnLIll46hzo0LY2GgCglPtK1qJYb3c2oNY7HQAMbb/0XiFGYDvrWM1rCgmv1syk0IkraMfZfm/kQpxW1S2fEqawgvXs8BquNqncSm9OiEJWnoPNCgjo1MxrpJmSCSglGLGwidZCnrOrH+AE8vw0OZvuJoED49Ssh2FxL8iTP8EeVq839PwaTKGXMs/7Gy7QZDY0ToP1l0CjxEhSiNNNSzy33vkKbnhKm5VUxgUpX/Ba8//SsHCj70XJ746IhIhYSFa9xFu47nH1iYCk1y1/H964BQq9P2up0xTGvAYdwlNUDyVgS36EKyfBDvVdmDLUScfBB5PgpNh8FIbifo3sU2BzKf7+dki9/Oe6w+3+MuWLtsOCTmD1TK83QPd50FjyE+LffIl+yEvgJ8lZnF0FF6ahgDxORaRDqN6dqoAbSHeX/UoBWmCWRwn7NXzaRgwK+JesFLJVvdkoVrj+HD5fzUV+rxaS+ecv6y/YFdx777089ZQrL+idd97hyiuvDHaIiLQP5WzoAGBEQp/wg+gAIDwG/J97JyVDrxwM1G7uf92lwfL9c4BIwP2RBgDlOnePu3RZ/vLL45S35JG6BFjPAEz4X+PEWIBQ8a7lbbYoCbfe1oj2dGMMmVEA4cpnEw6TufzGh6xH/u1p8kBzKR0ZxEnIvyNpDraTyyDlNlY9ZyOymItZ0QeKrgmfzR22Ql6zq0mghbllXko2HYzx8SDnMwrFu2BxDyjUaBc1uRC6zoIwfJ+wBh7WcBv1agILBkFSfFxsR/dg6KMficCvW2Do/fCnhjbUhJ0n2s/gdsMETLm7fEcsNQsuvMelpBpjPjV9C/UIkLsPpo+BNZ/6Dkbvq2DU85Ae29pamx0eegMenQGCT2rtpqHw9M2QGsdsFDXxdMleXTofPhYZRA+7tDW8399PlqajxHVZd3itulP7h6D9AwkRRn+iH5OS0rgjRqIf2kAFC/I4OYSDf7xe/wxkKmq/IvwRqBVhVXj/PH915elYnlzTgsggDHS+YNs5Fa6/Qwj3uC8zk6xUGMnXSJnT6aRZs2bs3LmTjIwM9u7dS1pa1dwYB3s2JAY6ABipk5DY40T2LTcxYyF8eT1BqQ2UJyM1UcLRNZ0JlNehPRSCGhiKRPAAACAASURBVK+v6EQaALwWeM09UUU+6hmAiXlWq4XXO/iRVUyniINe65EP6dO4jOM5J2I3db6C9jt7mcwSpVhAax1pyk30IDNAbpRAN8XJHgUEdKBWnzBQh2w+x0yHQIcKuZ2zrIzrrQV85FCTL9XFwMIqKG0JaiEFf8GiHlC6V92t+Sjo/EbIdWMOJ5w/D+b/qx72zlPhme5Beag3rgYRyCuE6x6HmQu9F3NcvSK+O+8FWqx+3DevmnSp3RiGT4K+V4MpjkH1arBX+hLcEVg1E167EfI1pKby4+yGcMOr0HlwzMO1dSdc8SCs/s176rrZ8Ob9MKhHzN3SJwwgAs/8CHdryJBOrgOrhkK6v4KBH0bDtvJXEPckjQdBt8/AEP8qq/5EPy42WRTOZEMVKYQFA/I4lSw4zcMMYKQWRloE9Vxdil1R/NVelovab1aEn48DOJJeTawUK1x/vrL+RJAkFantkay/yEId3377LQMGuITARo0axZtvltP7h7KK8PoEczbKZ9IBwPBiXl16R/a3IjGjsh+Qup2focI38NpAeSL8TOCSCCw30gBgOZehuNYa0NzdHfHYEwBcr4iiopCRCSog9ZFCevQqID+LlukcgNGKbAKMa6WIdbzLZr7z6W0D2inZgNk0idpqcinmJZbxC7u95mhIBpM4j9pE9lbPyQFyGYJDoQE9agayyOITkhSa0Oiaza1sN0+jbCfk1t+l1CK9ih5yA1p1zk+wuDfYNaT2be+CU54OaAhfjQ6WwGkfw3aRgPKwmefAML0sLeS4JmpHyX554WO46yWwawSBTSZ44dqDjDU8iuGbl8Hum2icpsfDZY9DlwtDBqcTNX663zGKQP5BeP0mWPmR7wmFo/KaFyGzbowcOjrN+/NhzFOQX+Q9db/O8PYD0CS61L8xX3N1mXDhDug/F5weaV+1kmHdMGjlj3Z363RYf706BBltoN/asLh6YxnTp21FPKThSo6H56JAQB4R6ZBLZqeP51kjdRHKmWCAMBsOBfyza0qIBVKrQ2wVw7VnwImDIg5Rgg9xI0VdM8Wd9Rc4x2Ew52zkyJG8++67SpeFCxfSt69Q+FeNBXI2tJ7pAGDV7FW8zVrTAUAhjypPAZoHXFDJBsnrofzlWw1IRmC4FkkAsDkohA+yp6JoXNG9qicAWNEahBPxVjcwGOxaBeCryESdWKkT+PfffznmmMqaBzu93j4RIrCLX1jJq8otntZMJNGBEbRnYFRUemU+KR/4lA3M5CevWvnW1GMi5yAqZ5E04WbJYyh2L7aBNLL4CAt9Ijmdz7FKysoYVprHElHa9bChJgtvVuFNd0AL378Ulp0DTnUpMyc/Ce3uCWgIX43W7oUen4LVgzInIwnWDoPj5fpHtxoXgVUbYPh42On954mL+8Cb1/9N1pzxsPw9/7Fp1x2ufAradatx8dMXHMUIrP3cJfSRq8mIlikz68HoadB1aBQd8D10fiHc9Cy887X3z80mePQGuOtyMMZ/QljMYxcPE27Ph04z4YDHx6u8VHwxEM6XtwxfdmgNLO4JTk+lkDQ463vIPikellWpD984rAwvVZe6iujHkpRatDQGXjJb6UQhNKgM5HGBfztxasTmZCojDTDSNCjwz4FTAf+sGvGQTJKR7L9ggMQQllthF0keEK4/p49iPfErjTqkkB01HwsKCmjUqJEiEiJlwH///XeVZYZKoCo7G76CqQOAkT6ViTleTQcA5f6xnJJYrlDLxTP87aY8aYkAiLDRnxyBLY8kACgEG1L2KybXcNMr8E8AwB+F/x8QPbbNblVi0b6UvGYpJc5w938fuCKEtfriHvQ5jA4AhhDdatRFyHt/4AM28Y3PVdWjNd0ZS60oKuZuYDcvspRcRZz7qHWnJbfQM+IPE2UUkMel2Lz4EJPJ4h0sRJ8s2x/XzaNJaYyrIq6bgI/1rjmw6mIo06RndZoOLX0Jnwc28qu/wQ0aisoTasOaYSBgoG41LwL7D7vKGL/V0FpJJFofA7MehVPNP8L7/4WfK6AG7nIRXP44SmagbnoEQo1AwWF461ZY+o7vEU6/GEZPhWx5VI2trdkIl0+ELTu955XflfcfhC7tY+uTPlvgESixQ89PYZ3mwmNSF5jQxc84Jfvgu05QrBFXO+NDONalkhrv9pfTQZ+SHHI9roEFn56dnEW/KhD90MarIpDHBf5tx+mDUkc0eo00DOr5Vcp9hfOvWCOmkUoSjRHG6KqBDSTrr5CDlJLv8ziJsq9w/ZmizEs4Y8YMpexX7P777+eRRx6p0uOtA4BVGv6EnrxqfpPjJ2THAuV03/I09Z9KXJO20kdKa6XENlyLJAC4CWjrBvIku843I6rLY8mLlrQmH8UZys/bAAuAZu4FXgjMCXKxOgAYZMBqevM9bGQl08jHO6PBiJlTGcZJDMYYBIFxMDE9RBET+Yp9GrWzS+jAUPxJ3gUzg7ptmVLAMBIb2lQJM5m8TjIXhz54gD39PfjOSc6idxw8+Fa4jH/ehrVXaZoY4cyZ0DS02Enp5zWL4C01TSMjWsMH/ojPA4y13ixxI+BwwENvwsNvegsZpFhg6t0waiDwywJ47x7YJvdrPkwySc66FoY/6OIK1E2PQDAR+PErmHYdHPYhRJNeG659GbpfGvOSc6cTnnoXHpjuXTIvy7vqfHjxdsis2srBYCJd49rKZ9+1i+BNzWffoBbw2Xlg9PW26LTDsgGwf5E6Xm3ugFOfTYgYykXoWSW5/KG5THwoKY3b4+Qi1B/II9Cfk21IVYkAgaUenNYmBfwLTpVexjhAIYUKG9RRS8KkiH6YqJq03VIKlZJfz6w/C2kKn6H858r6iw042a9fP6XsV2zTpk20bSuv3VVnOgBYdbFP9JlrOgBYXTIAhTisnK43kEzGQM6tlBALF6CYgIH9A+nk0aayml69BDjIgNaE5jZK+JGP+J2vfApY16Glkg1YB3+1KOFF6V8O8wBfed1+3k5vuiKJs5G1Mmzkcx1WZmsGNpLBS6QwMrIT+hjtK4eVS0rVXCoiCrIspRbHVnHpS6WL//M5+OVOdTOjBXp8DQ1C42UptkO32fCThk//+e5wa+Rx4EqXqDeInwh8vdqVDXjIB/XQdYPghTsgNcnp4mT78H7Yp1GtLl9KchoMvB0G3wNpWfGzQN2T+IxAUR68fQcsfN23f6dd4BL6qAJQWcrj//MQLPzB27WsdJh2N1zm4svXLY4j8MpvMEaT/d4m20WBke1PQPWXu+HPZ9Srqt8Hen4LxshSp0QjdCL6caU1nzkaPuSqFv3QrtUXyFOGAwdbKXNnxJVQxGxejEaY4nLMs7lPyfhzZf3FpjxDSmebN2+OqAB37dqVVas0KjlVECkdAKyCoFeTKWs6AFhdOACnAGPdZ1LyEL6M0PkU7TYp2JC6SLm79WDHCnsGXQQk7BBW3wH28QcrmEaeT0JjEyczRPnPFGF+Ponoj+zgSRYqN6rlZsHEg5xLqyBvVAPZIXmQK+BmSnGRCntaOs+Qyg2BDBNWm8dtRTymIb/uaDTzTXI2qfEsCiKr3nAfbHpcvX5zBvRaBHU6hxSXrbnQaRbkeFyEm42w+ELoriduhRTT6tJp+x4XL6CUO2qtY1uY+Qi0kk83Wyl8Ow0+eRhErMGXCVfb0AdgwBgwR4ewvLrEvUauQ9KyNixwZf0dKC9W8YhEWjaMmgy9/xPzrD/x4vOlcO3jcNBHvcmZJ8H7k6CF/vcy7o/uqj3Q+zOweTzhp5vh+2FwYh0/7u+YCas1WoipTaHfekiJffl5KEGOV9EP7Vq0II9cHDvYQplHEVdNAwAv5DlFJDCWJclPPPEE//d//6dsz9SpUxkzZkwoxy6ifXQAMKLhrFGD1XQAUDY70VWA5a1BZEzlY1pqJ5uChrk19CMtasfD3N3lE90HFXrIg+sAYMihqxkd7Vj5iY/ZyBcqMK589bVppmQD1uW4iAdkHht526VRc8RE/ewxBkZFAU1KOQq5hxJEd0dtaUwijTsivkbPAZ1lZVxqzUeyAT3tClMyUy0ZVUpyXOnC5SV5/Q2wTUN7aqkHfZdDZrtKh/DV4Iu/YZDmKqVxGqy/BBpFVhw6JP/0TlUXgVKrSyH4pVnePmRnwIzxcGEv98+KcuHzp2De/8Barjmm6degJVz6KHQboasjVN22xsfMDjv8sRxE5GPd5/6zSE89B8a8BnUrK7aI/LKKS+GuF2GKNnFdRAeMcP9VMOFqMMd/Eljkg5NgI+4pcol+7CpUO/7xABjuj+go9zdYeAY4PDpJ5n3vpVD3jISIwNfuygdPrqJ4Ef3QBtAT5GndpjkO/kIoZDytlBI+YXJCxD4STo5gulL2G0s78cQT2bhxI8nJyezevZvatateHU4HAGN5AqrXXDoACEuBnoB8ktUCH9JCrj0X1d+V7u0XsY2JETgKkeAAFLKrT9y+PAdo6uHC8vJjYLh7BB0ADCuUeudQI7CfzUo2YC4akmlF8trISVzIqQyNaBmAZP9NZxXfKfo4R+046iqZgMlRyDyUOYt4kGLk11htqdxDGuOjetuZW+akd0kOW8rUib7PJaUzOik11O2LTT/h71k9AnaW/yl0T5vWDPqsgLTQXpIf+B4e0ZS29W4CCwaDZATqVrMj8OG3cN0TUOgD17vnCpfi6REQ5NBO+PhBWPQGaH7HjkTxuE5wxZNwcr+aHdiatvqSAvjpGxfgt34eFBzyH4GUDPjPc9DvuirJ+tuwBS6bAL/5qG4/tiG8OwF6daxpG5iY67U5oN8cWCYpBB52dwd4yp9ouS0XvusCBepnI057BY4T/cH4t3gX/dBG8CjIY6RlGxtlqC9qDZix0YCPuTX+gx8hD2MNAK5bt44uXVxKOEOHDmXWLB+3fxFaWzDD6ABgMNHS23pGQAcA4THAldMLwqX3vZ8j8l+gvM7sHKACub+AD1kkAMDPABHpEOsA/Bzw7JU3FLXjE0FhhJWcF70EuPKY6S2iEAEHNn7mE37lc0XzTGuiENyNsdSPiDaPa3Q7Dh5lARvZo5ruDJpzG70V+uFoWBFPU3RE0PvoDCncRDqPRxUE/N1pp29JjnIbUm6SxPFlcjZnmmLDsxJyTB2lsGIg7PtOPUTmCdBnGSTXDXpohxPOnwfz/1V3vasDPO3vBSnoWfQOiRyB3/+GofeBfNVarw7w4UPQ2JOLfcfv8P7/ucAefybZXQIEttBJJxP5bFTo++Hd8MNcV6bfr9+5SsYrsxP7wtg3oEHk+Wgrm1oSrV/+xJX5KhmwWhvaB6b/F2rHNimnMrf1n1cQgduWw+Rf1A3OagrfDPJzwSUXF6suhl2av10troFOr1UJIB3sBieC6Id2TQLy2OxFmM0OWopEo4cZEIIaSdW0UKoRsKssNlJILIq/Ds0zdTYp1FZYn2Jj8nwvIh9WP7qUFtJJpw4iBlhuyWQoCQCxsnHjxvHiiy6OxTlz5jBo0KBYTV3hPDoAGBfbkJBOROcNNrFCcboH6Cf1d76K+uWvjIBhJwA5gGTD2SKwzHABQHmjlbs7eTMX4E8AwEhZd2C5ezB5oz47UgO7x9FLgCMc0Jow3EG2soKpHD4i3n101cIF0p4L6MAlmBWh6/AtnxLG8yV73ETL5SOKKrCoA0fLiplCIfd6DZ/MVWQwGUOUlJBlws/spYy05qvmbugWBWkc76IgtnxYehYcXqeOXe3Tofd3INyAQdqBYjhtJvxboO446xwY2irIwfTm1TICBUVw/ZPwwbfey2tYxwUC9jlN87M/VrgUgzeVFxZofi7cmz2ugBEPVwngUy03qioXJQjajo1HS3v/WhO4N/Wbw4X3wtk3VEmJ+IEcuOYxmFv+ROjheVoKTL4Nrh2UEPhP4DGv5i3f3QQjNXdlzTJg3XCo7y/h//dH4bfxms/Wzq4LNpNQqse3CdWJiH7M1VCdDDVZeNOSGbdUJ39uXoPVnovFXIeWbY6+thtIUcA/AQGDNQH9dpGHVVP0lkEyDRRwLfrwgEu5OJ9CDvq82DdiIp16CAAYC3/8xdBms9G0aVP2799P/fr12bVrF+Y44TfQAcBgT77evjwC0f8NT4xYl5cB2wFh7tFK+9wNPOVeyiRAgDtP6wMscn9jBjAqwGWHCwDeDEdkn6T017t20LcjFwl/s0+ZVVd7uU6SR4Nm7u5DwUumNMAl+m2mA4DhRrCG9ndgZwOf8gufIgIaWsuiCd0ZQwNC437TjreTXMYzjyIN5j+OnnSPAv9g+fwlzKCAW7x+TZMZTgavYIii8tkEayH/s6vrGs8wmpVMQEu8i4KUHoDFPSB/k3orG/SH7nPB5E/S0P8v1Jq90PNTsHokn2YmuRQS21U9DUwN/UsQX8sWfGfqbLhtMtjkScLDhBftsRvg7is0+I10kgyw9/8LuzTntby/iIOcezMMuQ8yg89ija8o1TBvnA4QoFeyPWWf924JPAAtO0LnC6HLhdD81CpD1xashf88DLs1quiykA5t4INJcHzsExIDj6Pe0isConAvSveieF9uySZYPgQ6+9Pv2PM1LD9f/TwiPLtn/wBCtZEA9pStiIc1YmcnGUwsSKlFepw+11j5hs2bt1Fmb4nFXO8IAGggDROtQnoOFOBtN3kUa55pU0miEVlRq27xPCKS9VfAfmz45sWVDD8B/wQErGqTjL8LL3QV2t166608//zzVe3Skfl1ADButiLhHNEBQNeWCWPJCkDuvSTPQ8qCBdCT/78UKCe2+BMQWUl1egwECgBqgUEB4srLd58E/vA4QX95ZOD5O1hyhSykBIKCiPiHiIAEYsJ7K+MLhbOMIeRqUn8iem1S3nwtUJ4qIzyAIwIZNMg2OgAYZMD05uoIHOIfJRvwED7IiDBwAudxGpdiJnjARxvrX9jF4yzA6aEMnISRiZxLG+pHbWtKmUk+o710fSwMJJO3kBvgaJijrIyLS/NY6FQnOl9nTuF/luCz6KLhY4VjFm2HRd2hWMMbecwlcMb7YAj+oXLarzBWroo8rH1tl1JiRpxXR8c8/jV4QlEHHn4/bPfxaTy4B7w13keZpAg/CDfgxxMhR005cCSUovh60X/h/FvBEuecnDV4/ykphF/muwC/9V/4V4DWxshkhvZ9XIBf58FQr2pBFasNHngVnn4fBKfW2u0j4PGxkBx88lFNPh1VvvZDJdB5FmzLU7vyRl+4WmqcfFnhNljQCWyHPX5qhJ7zoWFi8JUmkuhHeZBdz3/Xs3fzI5TZWx8BAA1kuMG/4J9jBPzbTwH5yivfUZNC4iZkY4pyWa3MX0KeUvLri85HynwF+EuOYQlyZb+Uw4YN45NPXPzSP/zwA6edpk3nr2yE6P1cBwCjF9vqPrIOAB7dYSnofxf8ygoJ+DfQDZxpz0WgAKCPxyi/R6yyTEJJbyoHDEWrUnwL1AL1YypwuxscDHTsQNvpAGCgkdLb+Y2AEzu/MpefmYX8W2uZNKQbY2hE+7Cj+A1/8IaGIrQWqTzKQOpF8WGllC/I5yrQED8ncRZZfIDcBEfDDrpFQf7RCBZMsWQw0hwd4DGi68j7HRb3BOtB9bDHjYGOU4LOqJGX4FEL4W1NotalreH9/kEPF9Gl6oPFVwQO5sLIh+ArbS0B0LIJzHoUTvOVoCzgkagFz3kKirX3jO411mkKl0hN8VUQ7yX58bUt0fMmZ+9RPr8NC8CmVuj0O3FqFnQ8z5XpJ1/TRYeu6m3zv3D5RFjneSXtdqtBbZjxAJwrjNm6JVQEhNN24Dz4RsNpO+ZEmNrbz1LsRbC4O+T8pG5w8pPQ7p6EWP9mp4M+JTnkeVzgCq/Tp8lZnGWKTwS7mNco5A4l43Lv5ieOAICt2tTCSMuQ+e8OUcRhDdeeGaMC/iVFOdvOjpVCJevP99/HFDJJo25cZP2VH+zDhw/TuHFjSktLOemkk9iwYUNcnXkdAIyr7UgoZ3QAUL1dzSXD1w2mCUAlVMeSKTcTeAn8MJQGngEYKPAmXlUGAD4K3Od2X7IUPwri5AnYKarGZwCyZqEoF8ZXuRPcCiwD3nDzHgYxbFBNdQAwqHDpjSuKwGH+ZSXTOKD8unpbO86hE5eTFGbG3OusZj5qBKgFdZjEuaREsSTXykLylGRkdbmEmW5kMROj33uL8M7Nz047Z5fkqB7XJJ9yfnI2p8W7KIgs/dAaWHIWODxlTYTN9QE4UcTcg7MiG5w5G37RYIqTe8C4U4IbS29dvSPgdMJjM2DCa94ZVJI19eLtcN1gP8Bx3n745BGYPxUcfuiGjz0RLn8CThuoo89VcZR2/nGUz2/zat9pcr78qnsMdBrsyvQ7sQ9IiXecmFxyvP0V3PSsb2VrAf0kg1V4LXVLvAiM/x4e1ajad20ISy4Ci69kMoWi4CrY/o56sU2HQteZCfF3J6/MyVkluWwqU9PFPJyUxm1J0bk8DedkSIZcMc+ohOCOAoCNadPmpJDBvzxKlOw/TxMxOwH/kj0ENsLx31dfV9Zfrjvrz/s1WLL+MqiPJUqX2eGsZ9q0aYwdO1YZ4qmnnuLuu4URLH5MBwDjZy8SzRMdAEy0Has+/uoAYPXZy7hYiRMHG5nHj3yM04dGjzxgdOMGGnNyyP7acfIEC9igaO8ctS404w76RJU7xcYK8hhOmYaBwMxpZDEbI9HhB/vQXsJoq/qh8RiDkaUptahviJ0KW8ibtneBi7uoTAOkdJoOLa8LetgtudBpJuR6KGGajbD4QuguJAq66RHwiIBwqEk21X6RD9PYVefDlLtAhBR82p4t8OF4WPmh/5ie0MslFNLmDEgKn+5A3zw/ERA+vz9XuUG/ObBbikICNOHwk7JeAf1anhaXwEluAYx5Cj5c4L0mSxI8eSOMG14lGiQBBllvVlEEPtsKQ75Wt2iYCj8Mh6b+WD3+ehl+EqpxD8s8Hs5aA0mZcR9wEf24wprPFxrRj2EmC2/EoeiHAGVF3E/xEWp3V4gFAMTeEYu5Pm3aaGSAA9yFIqyK4q8WfhPOv/QQREQCnBbJ+itgH3ZNyXF5/xSySFMUfoMvZw7Uh3Dade/enZUrV2Iymdi+fTtNmjQJZ7iI99UBwIiHtMYMqAOANWar426hOgAYd1tSPRzKZZfCDbgf3y9obelHJ64M+baxgFJFGVhIlD3tIk7mMqLLDWJjPXlcRBmeXDxgoj3ZzMFIw6hs4j3WAqba1WUbPY1JzEnOwhyn5NmqQOyYBasvUROYGy3QewnUDb6Wbe7fMFiIFzysSTqsHw4N4y+pICpnQh/0/9k7DyipivSL/6bT5EBOAhIGARUl55yjSjCuYYOuuyvqXxezYECUVVd3XVdds7tmUAkSJOeMoogggoLkODl0/J/qJnS9mZ553dPd83qm6hyPHrvCV7fezLy+9X336kfgwDG45lFYW0r10KUtfCXBrcqSfNuzGd6/H7YvDbyoIOPrNYdGbaBR6/P/btgaUpRTjf7T8utZXADfLjqv5ycyM/U0UZrdtq+vtFcQf3WN7ZKx7ju4/jH4Rb7X8u70oiY+o4/24fHU0oOe6hNmBHaehi4zINfvDkxcWi0dA70D8Rkn1sCKfuDxk1axpPrIv7TWYY4wMtNNdxQwNUZMPzw4yeNOitFkWwIndn+Kx9nU6zwbCgFYjJNDZEsa1gLxOqSQVsGqmEAn58tkzKKQ04j/1jYzVpK9WX9Kz7YiT78iACuCXvUeqwjA6n3+lbl7RQBWJvpVfG03bnaygK18iEujnSe2LnRGenAbjbg8JCQE+fcwX5Kvmfsv9KIPLUKaU+8gJzvIZjQejklDTLQgnTmYaax3Kt39HB4Po4uzWeOWdRbvsCTwdCyYgoid7n0Ntt4u7zmhoc/FMKG+bizOdnx4PUzbKg/r1xAWjQHx5Uo1hYA/AsIZ+P6X4YVSxDpSk+Cth2D8gDIwE+V4277yEYH7tgUHbnq9kqTgBW2g5gUqpUuLZPYx2DLX59wryD976S6VJQ4gIQUuH+7L8ms/IiZIV5cLpr0Hj78F4r+17dYx8MJdkKy+owf382ag3rl2H/m3U5OB/M9eMDGQbEXhYVjSEYo0jLDQv2h0lYF2FziU+S471xTLGW81iPNWLlxoMO1UD8Xk8jvszC6xoWT+xoHdg3A6nSERgA5cXvJPVK/4N6FfXStC2tUi2084/AbK+ksknURv1p96UaroD5MiACuKYPUdrwjA6nv2lb1zRQBW9glUg/VzOMJaXuMoO0rdbQv60pmbiD9neq0flO0cZhqLcPndbgox5ckM5SLq6p8ohJ4ufvKSgG6vgff5ZqLxGRIw/CTkMY+b3kVZHNKYgohSmgmWGCk93HYv7P67jHitXtB3CYiMwCCaEFQfNhcWa4yG72sP04XCqmoKgVIQmLEUfjcNcgtKfiicVaf/BayWMqAT4oKr3/eVBp/YXzGM45NAZAiKjEHxb0EKin83yKxe5cSHfvQRfsK598e1+vX8ajQ8X9p7cf+Ywmz/EfjN47CqFC45IxVev78cQrpiT54aHQUExJ3B+IXwmVD29mu/aQXvDQxQie52+HRzT66WB130IFw6LQpRV3yJH91O+hdllzD9+CI+jf4GM/3wkEcO1+FguWbjZlJ4hQSuIxSSR0zmws0hcrBrDPJSiKcuKcQRfgpAZP3lc0qutjizMzM2r9ZfRbW4K/6EVJ0ZQnk2Dhw4QOPG5xIFxH9o3mKrDj5qJ4ERCP9Pv0JbIaAPAUUA6sNJ9aogAh7c7GIRW3i/1BvJRGrQnVtpTMegV1rELt5gvTROlFRMY6S3vCKSzcX+MySg/HZvQqi6zMFC+Mt0NrkcDCvOlvIeRXLI0oQMLjGVxVpEEokg5hYZjKuGwnFNKWWLv0B74fMUXDte6NMD/FWWSOSzYXBV8+DmUr2rDwI/7ofxD8N3e0ruucel8MlUaFSnHDzsRfDVv2Hhy3BU8w2/olCeLSf2JwXPkoNVoZxYkKg/cE7srgAAIABJREFUbThv4iEMPfS2xpf4svxEeW/zjjGZQSlI6FunQ1YpRtN9Lof/TYHGkVGT0Iuy6hcGBKZvhQfk1xMurw1rroIka4AFvrkLfvqn/GHdwdB7PsQZU6fNP1hh+iHIvx81ph9TrUncZTDTDzcnyWE8TjZrDiOeVN4lnpHe/x8KySPKbkWlSqFGDzsRq/cNUZh/hLsVkePN/CutJZJBEiIHU2X9hRP3UJ4NRQCG8wRid67w/waIXSxU5NFFQBGA0cW72q8mhIjX8h8OU4oQF9CcXnTmFhIITtz6HTYynx8kfJtQgycYjnjZimRzc8RLArqQv8DGUZN0ZmEJscS5rJjfdhZxp8YUpFmcieUJGdSMBVOQ4uOwpBMUaLKnOr0FF/426OPacBR6fw4OvwqbVCtsngCtMoKeTg2oJggUFMGfnvW5rmpbnQz48AkY2EknGAXZcGgXCCLr4A++fx/aCUd+Apdctq9zxsDd0uv69AX9yUGRQVirsbHJMFHK+90SH+m3ZQ5kH9UHhfid1qa3j/ATxJ/QWYzRll8Id78Ib8wpuQGzGab8Dh66CcR/qxbbCCz61Zeh7vaTX6sR7zP9aJYWYG/7/gebbpQ/TGoKAzdDfG3DAyJMP6635/KlxvRjgjmeN20pxBlIr9jlpeeuwKV5d4wjlVQ+xkbvc3gHS/II8k+4/eZqjDdsmL2Ov+YIkHAOCsn2muPJen8WbF6tP5X1F5kfn2CfDRGFIgAjcxaxNqsiAGPtxKpOvIoArDpnGTM7ES9Gu1nKZv6LeGHRtgTS6cbvaUpX3XsSZRbTWcI2DkljOnABk+gfcZ0TNyfI5ipcfCOtH0caaczESvAmF+VtfmJxLu+4iqVug01WPo1Pw2ygl+yA+zi9FZb1BLefsYkpHvqtgpqdy9t+ic9f2Q5/Xin/70tqwvpxkBxZDjjoWNUA4yAgSvTemA0TX4BiP1dpEaH4MXriD/DQzRXg1Zx2X3bgWVLwLEEoyMHCUtK/KgKNt5z4ojMlxX5GJJVZTpxzArZ+6Svv3bYQhKmHnhafDJcN9RF+HUZCamQc1vWEEq4+X++C66bArlKqxi9sAO8/BiL7VLXYR+CXHF9m+im/P9Hiy978UTA0kNlQ1jZY1h1cfu9FpgTovwZqRNbcLFyIl2b6cWmcmcUJGSQZ6L3ExV6yGYObfZp3tlqk8zkW2kv/P1iS5xQFnEb+XSdIv0akY42A264LB9kcxI0sJCqqa3xZf4pqCNczrp0n2GdDjFcEYKROI7bmVT+VsXVeVSlaRQBWpdOMsb3kc4J1vM5BDWl2dhvN6U1PbseEvrLWAuxeZ+CDZEtIjOZifoPeNJ7QQXQj9G7G4WSDZpIk0ry3yf1Cn7yUkcUej7cUeLPGFGSSJZHJtuSwrhWxyfb9FzbdJE+feAEMFKYgwWk4CiLn5iXwX43x9PWZ8L9BAbSWIrYxNXGsIbBlJ0x4BH6W7xC82xjeHf47GWqlh3FX4oE9fehMxuCZrEFBCh74wff/w9lEBl3dZiXdiUXWYErNcK7km0tkPW6e7cv027kaNJqlARfMqA8dR/tIv0sGgi0h/LFVwoyi2vkfn8ADr4DdzwX2bCjXDYZXJkF6ZBUrKmHn1XPJQif0/Ay+PiHv/6mu8FAglRP7KV9WfP7P8qBOb8OFt8QEkLFi+uFkO9lciQc5A1nQc2neqo2SdtvBkDw5FHmz//ybKPdt4PX7Df9tpDDcy+EgTo0hnij5TSb2L06M/vAH82yc3YsiAI1+qtGJTxGA0cFZrVISAUUAqqeiUhEQ2YB7WMEm3sNOfolYMhno1QbUe3t5hBwvCagtu7idHvQnM+J79ZBPDteWIiYt9GTeI54RYY3hoNvlNQU5rin5+MCWyuhYMQUpTe+odl/oswhMwb0sFzhAmCR+e1KG+aXecIfKrAnrs1cVJzudAzdPhTka7X2x1yb1YMZT0LltFHZekHOmnNivlFhkEEaqnNhrQnI2Y/DMfwdTTiwYrj2bzuv5HSjd8KlU5C5oe760t0XnCqRaRuFcQlji6Cm4ZSos0OjAialSkuDle+HGYeqCIgRoDTlE8Pq3LIX3dsnhXdkMZg4DU2nf+ARBvmYUHNFoETT/E3T4tyH3qQ0qVkw/HKwnhwl4kC2ZTbQgndmYKT09Uy/JIy6ixXuoXISLV/MvmeBMzvQcvHiHzuVoifdnG0mkUl/3u7OetVSf0hHQ+2z4j1YEoHqaBAKKAFTPQWUhoAjAykJerSshUMAp1vEGB9hSApkOXMulXKUbsR0cYarXGfi8IJwovXiUIbQh8qrqHoQM8404WKCJ2UIqbxLPWN170dNxtcvB6OJsyWMulTiWJaRzUUyYgjhg5SA4oanfbXkXXP6iHgikPj9lQ6dPIduvnNNqghVXQvf6QU+nBlQzBASX9ez78NBrIP7bv9ms8OJdcPtVlUTYOB1wdM95fUGRLSiyBgU5GNFyYj+CsH6mLzNPGKBsX+or7RV6fqeF9pSOJrIRW/f0kX6dxvjcjqtoE6TfzU/CsdMlN9iptU9jsqV4C1OtyiDw8ndwxyp5OxdlwMbxkBaI//l+CvzwhDyoZjfotwJM4SeNwg12INOPp6xJ3Gkg0w87i8nhBihRmtuOdL7ARGDXJz0kTzFODpGNW0P/1SaZdIRVW/ibcPstRP4FI5x+02mIKQKlxuHfQezPqOfZ0O5SEYCxf+7h2IEiAMOBopojFAQUARgKampMRBAQN5k/s4a1vIrQM/FvvbmT5vTUve5SdvMaa6X+qcTzFCOpF6TBiO5F/Tp6cJDLH7DzmWa4iRT+RQIake9QFvEb84qjkPsccgZlZpyZ5QnppMWCKUjRUV/5U+EBGYnO70HT4LGa/TNcoUmmaJQMWydA3aQKgq2GVwsElm+FayeDyODSthuGwKv3+TK4DNG85cSHfWTgOVLwDDF46mB4Q/SWE18IWUehuGTWdqmL2RJlPb+08uyVwxtytGcTWpKi3PfFj0uuLGTQ7rsBnrgVBKGsWtVBYM1h6DcLnH4XBylW2DgO2gSqtD80B9aOkUGIrwuDtkJiI8ODE8j042pzPG8YyPSjmM+872Ro3i0t9CCNTzBRtr5DeSSPE5dXfsbpd/EsDi+DRGoRGUmWYq/JiLaM2Uw6jTBHoNTY8A9jJQVY3rNRWliKAKykwzLYsooANNiBVKNwFAFYjQ47Vra6jw0s5wXJyUzoAA7mYeqjv/7uv2xiLnIp2gWk8yQjSIpAKYYWXw8u8riDYv5XAvpkniORP4btSDweD7fZ8/hIYwoyymzjfVsqJgOJbwfc9KlNsLw3uP1U0ysggP7Qenh6q7xa/0bw1WiwmMIGvZqoCiNw+ISPBFwpe/t4d9y2ma8kuM2FBgdAZAaedST2dyg+sjv87sT+UAinYqHnJzL92g0CQQJWg/bDLz6jj227S262QW2flqRuZ+lqgFdV2eLhfOjwKRzReNzMHApjWwTYZe5u38WXM+d8hzgz9FkKdfrEBDTPOAp4yiFvul2cmUUGMv0o4m3yuKuEO66VoaTxHnGUf5NTFskjqk0OkYNdqsOAFOKpS0pEynAd3kqTQ4iLc7+HhzQaYItQtmFMPJCVEKQiACsB9CqypCIAq8hBxuA2FAEYg4dWHUL+nrlel2D/ZiOZETzpvd3U04Qw8rMsYytyVtnlNOI+BiDKgiPdPLjJ536KeLXEUkk8RhL3hi2EAo+HwUVZfOuRXeAmW5OYZKAynDI3/Ms7sPm3cpekJj5TkPjaQWHlcsPQubBEk1R4f3t4pntQU6nO1RgBp9NXDizKgrUtORHeeACuHRyDAIly4mPCnfhMpuBZklBkEBb6ERLBbE04EAvCT5h4ZHYFkzmY0THd96yb9F0vQqFszu7d1+he8NZDUDsjprepgi8FAbsL+s+CtUfkDx/sANO6BYDMmQdLu0POdrnDZS9A5t0xgfM8ZzHX2GUn85rEsTIhg6YG+dm3s8Cr+adt8VxNCq8SpzNTLhDJIwi4w+RQqMksFGYfwvRDmH+Eu7lwnnH8dUpTJ1ObxHIyGcMdi5oPFAGonoJQEQj/b4dQI1HjqhsCigCsbiceI/sVL1UbeZudLJQiTqEuI5iq+yVHCDJPZj6/agSfR9CGm+kSFTTEXgp4jEL+XmK9RCaRxKNhuyHed8YU5LTfrbD4AzMjPo0hZuNrCXkB+voO2POyjFWdAdB7IQSpaXi8EDp8Agc0lYqfD4Mrm0fl+NUiVQSBL1bALU9Btmzu6N3dHePh+YlVpKRTMFlZR3y6gl5y0M+h+KSGTReZxa26nyf9BAFYDdupHLjtGZi5vOTm422+Z+PPYytJN7Ianke0t3zHSnhZw+MNvgDmjwJzafeM4mdsw3VwQFMj3vg66PJ+TDwogUw/ZsWn0c8g7xouDpBFDzwajbwEbiOZZ4kL4hK4NJJHvNsJt1+t6ZwNMw1Jj8gls7hUzuYQTuRbhgTSSClDwzDaPxPVaT1FAFan0w7vXhUBGF481Wz6EVAEoH6sVM8oIyAy+JbxXAljkNq0ZCiTsRCvK6Jj5PEwX5JDkdT/VroziFa65ghHpwKepQCN0DeQwJ9J5pmwkYBLXXauKs6RlGgyiGNFQgbNDXIrXyaebjusGAgnNVasmffCZc8FfRTrj0CfL8Dhp8skxNg3j4dMlY0TNJ7VecCeAzD+YfimlPLOLm3hwRthcBcQmYFVsoly4kO7fP9YbNCmD2RE3ljJyFiu/BpueBwOHCsZ5cXN4KMn4JJAJaBG3piKTRcC7+70uf76twtTYfMEqJUQYIofX4Bv75E/TL8U+q8DS2T04nRtRmenQKYf06zJTLQa45ef0GHOZjhONki7SuSvJDE56Pet0kieUxRwuoShiIlGpGONgAGHIBzzOIbQ/vNvVhK9pb9xEcg21PlIVOtuigCs1sdfoc0rArBC8KnBFUBAEYAVAE8NjTwCQudkIY9zkr3SYo3pTD/uwaTzBncnR3mSrySBZjNxPMRgLqFB5DdyZoVC/u0tCda2eG4mhX8QF6aXxhccBUzW6PJcHGdmSUIGybGgB1h0BBZ3hKJDMlRdPoAm1wV9XqU5M15SE9aPg2QlxB80ntV5gCjvnPh3eHNO6SiIjK9BnXwln6N7QsOq7XdRbR8FURr++Fsw7b2SbtEClL+Mg2fvgER991TVFsdY3vjW49DzMyjyU91IMMPasdA+0M/9seWwahD4S3VY02HgZkhpaXg4hOnHdfZc5rnsUqzXmON53UCmH/k8SiEvSjHauIJU/hsSUaYleXIpQlwu+zdBwDUkDVH+G4nmoxtlVyph9iFkcZTjbyQQ1zenIgD14aR6lURAEYDqqagsBBQBWFnIq3V1I1BIFl/yCPkcl8a0YQRduFn3PCv4iX+zRuqfjM3rDCy0WqLViniXPCaWEKSOZwIp/Ic4LBUORZiC3GzP5XPNS/p4s423bKnExQIJeHI9rOgLIiPwbDMn+rIkMi4LCiNRcXXjYnhfk7l1Qyb8d1BMVFwFtV/VOfIIvD0X/vwcFMnfg0ss3Kk1jOkNY3pBu5bqWYv8yUR+hZ8PwQ2PwTpN2adYuVa6T+tPnLlqVReBE4XQaQbskyXweG8g3BioEr7gACzpAMXyuww950KDkTEB1tOOAqYZ3PSjNN0/ExeSwepy3X4DHYI/ydMosylHyJHsN8S4+qSSrLMyJdjDLiafXGSRSVHCLMg/SxRM7YKNtzr1VwRgdTrt8O5VEYDhxVPNph8BRQDqx0r1rEQEsjjAfCZjRxZz68IttGG47sg+YAuzkL+1iRvbqYxEkIHRasV8Si63ArJhRyL3kMzjYQkjz+NhQFEWP2hMQYxUplPuRn9+A7YInPxacjMYsAnia5U73L9DvgO6zYTt8gU6/+oNf7k0qKlUZ4WAFwHh9CpKgn/SSOMFgqdJvfNkYN/2VUQzsJo9Cx9+Bbc/CzkaXVEBw4CO8N5kaKSyPqv0UyEMpobNhcWan/s7LoWXAhG/rmLfhdYpuSSVNlPg4sdiAq8vncVca3DTD5/uX088UqacyJJbjJUOIeN8luQxWczYMmvh1tB/tUkmPULuu0LvT+j+Cf0//5ZGfYQ5nmqVi4AiACsX/1heXRGAsXx6sR27IgBj+/yqVfSH2c5ipuGWSLM4+nMvTeisCwvx0vY8y9jMr1L/djTgAQZFRLQ5UGDFzCXXm8EopxCl8jHxjNC1n/I6/eR20a8oi2y/l1Xhyzk7Po0+BhHqLm8PbL0d9r4md6s7GHrPh7jgXEZ3Z/myNnL8ILeaYOWV0K1+uZGoDgqBEgjkF8Jbc+GLlbDyG3DKnH5AxFKTYHh3X5nwiB5QM3pJyOoUQ0AgNx8mvgDvzis52GKGqbfBpBvAFHlz+RCiV0PCicAD62D61/KMvRrAkjFgC/QnqbS/Y/VHQM85EGf8h2aX20n/omxyNe8SwvSjr0HeJQLp/gnDj0Rur9AjIEieYqcdtyWO5My60lwZJFIrQkSceN/N5iAujctwMrVIRIkYV+hQwzRYEYBhArIaTqMIwGp46AbZsiIADXIQKgx9COxhFav5l9TZjI2hTKEO+vRzinB4nYH3aZzhhtKa39FVXyBh6mVnKTmMB7+XuzgyyGAlZpqFZZX5LjtXF+dIc9UijlUJGTSOBVMQb+ZEfzi1Tsbjovvh0meCxuiLvXDVAnlYo2TYOgHqJgU9nRqgEDiHQFYuLFgPs1fDvHWlOwaXBpfZDL3a+cqEReloS/GXWTXDILBxh6/kt7RMzxaN4MPHoXNbw4SrAokgAjP3wPiF8gINkmDLBGgQKBnr57dgy+/lQcnNfbp/thoRjDY8U2d73F7yb7emmuBpazJ3GMT0Q+w0n8kU8oK0aRtjSOV/Ien++U+0c/cuTjnzSLYkkJJ53vgohXjqklLh+Us7KWH6kcNhHBRKH8eT6nX8VaYf4Xm+KzqLIgArimD1Ha8IwOp79pW9c0UAVvYJqPWDRmAbM/mGT6RxCaQzgqmkIt/MBpr8BHk8xJdka5yBBQEoiMBotkJeJZ9J0pJmLieDRcQRyEYwuAhL0+3pYLKwMD6dhFjQAyw8BEuEKYisgUPXj6Hx1cGBAZSWwTGgESwcDRbjJ2MEvV81IPoIOJyw6hsfGThrFfxyWH8MbS48TwZ2bQuCIFQtOgiIjM4tO2HjD7DhexDk3/6jpa9903D41z2QqqrwonM4lbzKjlPQdSbkOc4HIjLIl18BPQJ5iZ3aDMt7gbv4/CCvlu16yGhXyTsqf3lh+iHKfsVFon8zmumHnYVnLlPPR+nT/VuFqYKZck7cLN69gSSnhXRL0jkCUJh9CP1oUwTcdwX5l88JipAvby2It13h+KteVMp/eqPTQxGA0cG5Kq6iCMCqeKqxsSdFAMbGOako/RAQL0ZreY2fWCbhkkZDRvAk8aTowutHjvMEC3D46aqIF7kHGUQ7GuqaIxydxH5y+R12ZkjTxXMLqbwUjiUI9BL/G3M8/zaQc1+Zmz2xxpcJ6PH79mVOggHrIT04ET+nG4bMgWUH5RUfaA9Pdw8L5GoShcA5BIQJzfd7fWSg+EcQS3pbnQwY2cOXGTi4M6SoLFW90JXbz+WC73/2kXzinw07YPve0l19/SdLS4ZXJsH1Q8pdQnWoIghkF0OXmfBjlryhf/eBP10SYJPFJ3wXVwX75Q5d3ocm18cEMtPs+TztlDPQLosz81VCBkkGuTx0cZAseoRd908ckHg/e5W11NrtoL4z+RwBaMVMI9IjJhtTSLaXAPRvJixe0w9zGIziYuLhi5EgFQEYIwdlwDAVAWjAQ6kmISkCsJocdFXbphsni3mGw3wnba0ebRnMQ5ix6tryavbyEqukvsIMZCojaEi6rjnC0clNLtn0w8WP0nQpvEoCN4RjCUQZT9+iLPZ4ZCHpF6zJ/MFAZTxlbnbPq/D1n+QuyS1g4KagS6mOFUCHT+GgRsz/i+FwRXiqr8NybmqSqofAkZMwd42PDFy0sXwn4bMIxNtgYEcfGSi0AxsqswndD4cgYQ8cO5PVdya7b8suEBl/wbRuF8MHj0Oz6N0RBROe6hsBBNweGLsAZv0sT35La3irfwBnb7cTVg+DY0vkQS3vgstfjECU4Z9yrrOY6zSmH0I+ZGVCBk0MIh/iwUk2w3GyXvMe9zcS0bwrhADRTLbxCd8wbnfTcwRgemYDL/knSMBINDsF5Hgdfz3nphflvj7H3/hILGnoOe12O++99x6ffvop3377LadOncJqtdKoUSN69OjBrbfe6v13ZTVFAFYW8rG/riIAY/8MY3UHigCM1ZNTcSNekhYwhdPIt+vN6Elv7tBdIvExX/MZ30qI1ieVpxiJ0HeJVnPyA1n0Awr8lhQyz0uxECjFILjofvAKeWdJXsqCKp0Xn043sz7SNLgVw9xbfIsXrsC/vClPXH/4GTH14F7I1x2Bvl+Aw48TTbPB5vGQqfS1w3x4arrSECgogiWbYfYqmLMGjmpcqstCrVPr867C7VoGICKqKezZebB55/kyXpHdJ4jXUFtGKvzfNfDgTWC1hDqLGheLCDy1GR7ZKEfeoQ6svgoSAz0L3z0Au6bLg2r3hj5LwGT8v7WBTD+MZiCWzxQK+buEs43RpPJ+hTXyVvAT/2aNd+7zBGAyF2VmIsp/I9Fc2MnyOv7KblKp1NNd3RKJuCprzn379jFy5Ei+/77stPmJEyfyj3/8g7hKyEpVBGBlPR2xv64iAGP/DGN1B4oAjNWTU3F7ERAlEl/yCIUaQ49LuYoOXKsLJeEM/CIr2MA+qf/F1OchBmOJotZKEZ+QhywWbqIFGazAFKaMxC+cxdyoudWvRxyrE2tQPwbcCHEVwfK+cFrzjaz1w3DJVF1n7t/pX9/BRDkJlEtrwrpxkByZd/ygY1QDqgcCbjds+sFHBorsQFGOqrc1qQejhYlIL+jXAWzV6Nm1O+C7PXJ2307517leGL39hObipc2h68XQpS10aQNCl1FpMQYFY5XovGA/jJjrn4sFtRJ8ph9NUwNs8cBMWC/MvfxaQkMYtAUSjG83L6oF+hVl85PG9OMZazJ/MVC1gJ2vyGGcBLOJpmSwusK6f99xmKdZhOtMFt5ZArCuJY3WmRdF5Nn2Of4eQpCA/i2JGiRRMyJrGnlSh8NB+/btz5F/7dq145577uGiiy4iNzeX1atX8/zzz5Of7yvjePrpp3nggQeiviVFAEYd8iqzoCIAq8xRxtxGFAEYc0emAtYicIpfmM8UnBpDj+7cRisG6gJMOAM/xgJ+Rk6/GUgrbqVbhW+SdQVxplMe91DE69KQcDnZnZ10sj2fFzS6Pl1NFm8moK0SblCDwcfbt+CAT1up+Jg8tPtMaDQ2qOlEUuFvFsMHu+Vhv2kF7w1UWVVBgak6hxWBvQdhzhndwJXfgFNOCgm4VmoSDOvmIwNH9ICaaWENq1InEz+vApezmn3i31t/hGL5O3NQMV7YwEf0CcMV8e8OF0FSePyXgopDdTYWAnuzodMMOO3n32GKg4WjYFDjALHm/ABLu4Az73yHOCv0WwG1jC8wK/SCrynOYYHbT2sXuNYcz38MpBccWPdvEVY6VuhB2s9pJjOfQs5jIAjAls6apFoSyczMrND8pQ32aUEf8Va2+DcbyYjsv+ro+DtjxgwmTJjghaN79+6sWrUKs+YWZsuWLd7PBFmYkZHBsWPHvOXB0WyKAIwm2lVrLUUAVq3zjKXdKAIwlk5LxRoQgQN8zVL+hsfP0EO4pA3kARpxmS7kTpLPw3zJaWRRqFvownDa6JojHJ08FJPNMJxslqZLZhqJTAzHErg8HsYW57BU85J/qyWBv9v0maiEJZCKTHJ8JawcCB7n+VksKTBgA6S1DWrmfAd0mwnbNeWXL/eBP4en+jqoeFRnhYAWgaxcWLDelxk4bx2IElc9TXxf6tXORwaKDMHMQMSFnskqoc+JLF9WpNeR9wcf8XcyO/RARCmvyOg7m93XuQ3Uq37JNaEDWE1GFjig+2fwraZsfHp3uK99ABAcOT7yL3eX3KH9v6FFxfXoogH9U/Z8ninF9GNRQgaJBrkc9On+jcDJOs07UsV1/06RzyPM46SGiPvT7oup50zGYrFEhADM5ySFyA4zFmyk0QhTFKtQovGM6V1DZPu98MIL3u6zZ89m9OjRpQ4dO3Ysn3/+ufczoRF46aXBmcLpjSdQP0UAVhTB6jteEYDV9+wre+eKAKzsE1Drhw2BH1nMOk3mnJVEhvEYNblQ1zo/ccKbCejw018RN68PMJDLaaRrjnB0crGfLHrhkUqbzaQzDyvhETs+ecYUZJ/GFOQVWwq/scRI+stP/4JvNKRoSqbPFMQanImLcHfsPANy/DKJrCZYeSV0M37VVjgeOzVHjCDgcMKqb3xk4KxV8Mth/YG3buojA4WRiDC0MFJZa1ExfP2jnN23R+PUrX+nvjLoyzPl7D5BgBqExwhmK6pvFBEIlBU+vgV8MiTA8yMGCd2IQz4i4lxrejN0ejsmHro5zmKuN7jph8A1n8co5HkJ5nDo/omMvynMZ59GUqYrTRm9uxFOpzMiBGARueQhVzOYEO97wvE3utlsUfwxK3epO+64g5dfftnbb/v27Vx88cWljpk0aRLPPfec97PNmzfTsWPFMkDLDUzTQRGAwSKm+p9FQBGA6lmoLAQUAVhZyKt1I4LAFj5gO7OkuYV2ygimkkwtXWuu4xevJqB/S8TqdQa+gOg5Q/j0bYSO0HknOBP1yWANJurq2kt5nba5nQwqypKKp4XtyVfx6XSIFVOQzb+Ffe/KW20wCnrMgiA1DT/f63N79G8XJMPWq6FOYnloqs8VAtFHQPAO3+/1kYHiH5Epp7fVzoBRPXxk4ODOkJKkd2TF+wm9w137fWTf2XLebbv1lzmXFkGrJnJ232UtQTgnq6YQCAaBf2yDu33eD+dy+ZFrAAAgAElEQVRa2xqwfhykBnqedj4D2x+UB2W0h/5rwGz8Px47vQZh2eT5vW8ISy2jmX7YWUQOssyHT/dvFSZqBHPMUl8nbv7GErZxSPr/rajDowxl3+69ESEAHRSR4zX9kB1/02iAuMCuzu2ll17izjvv9EKgJwNQGIBkZWWRlhZdzQtFAFbnp7Rie1cEYMXwU6NDR0ARgKFjp0YaEAFRArySl/iFtVJ0NWjCMB7Hhr5vuJ/yDTPYJs1RjxSmMpI0opcdl89UCpGdBK30JY1ZxBGc422g4/rIWcStdrme8II4EysTMqgTJIFWKY+EqxCW94bTW+Tl20yBix8LOqT718HfvpaHDboAFowCsyno6dQAhUBUERBOt3PX+LQDF22CQj/9srICEUTZwI4+MnBUT2hUJ7xhi7i8Zbw7QDjyirLeHJ92e0itTsb5Ml6h3depTdXSOgwJFDWowgisOAgDZ4PrPB+DcIbfOA4uCsQvHV0Eq4aBnwQJtpowcAsk66s+qHDgFZggVkw/fLp/PfHgX5dtJZ2vsNIpZAQE+fYa61iGLATcgDSeYLj3nS8Ukqe8gFw4yOYgwvzDv6VQhwSiS2KVF2tlfH7ixAlatmxJdnY2PXv2ZMWKFSU0AL/++mu6deuG3W7nhhtu4H//+1/UQw3l2Thw4ACNG5/T4xD/cSDqgasFKx0BRQBW+hFU2wAUAVhtj77qblw4qH3FUxxjp7TJhlzGQO7DhKXczYsXwn+ykrX8IvVtQz0e8ToDh4d8Ky8QDy7vbbeDpVLXRP5KMlPKG6778/vsebziLJL69zVZ+SI+DUss1MsV7IfFHcF+Qt6zyAJsOEY3DqKj0w1D5sAyTenhQx3gqW5BTaU6KwQqFYGCIliy2ecqPGcNHNVoXJYVXMfWZ0qFe8FlmcFVMOYVwNZdPqLvLOH369HQoUiwgYjnrEmH0O9rWj+4mEJfXY2sLggczIMOn8IxWQaYWcNhTLMAKOT/Aks6gd2flIqDXgug/hDDQxcrph+Bdf+mk8ifK4TzTLbxCd9IcwjS70mGU/8MERcKyVNWUG7c3sw/J/INTSLpJFO7QvupSoNF5t91111HQUGB1xH47rvvplWrVuTl5bFmzRqvC7BwBO7QoQPz5s2jXr16Ud9+KM+GIgCjfkyGXFARgIY8lmoRlCIAq8UxV79NCk2V+TxKDrI4ViYDEO7AehzV7Di9eoB7pNtm6E9L/kgPXXOEA3k3x8miN25kRiqNT7AxPBxL4PB4GF2czRq3n6EGMNGSyDRbcljWiPgkx5bBqsHg8btNt6TCgI2Q1jqo5Y8W+L4IHtJkKJX5RTCoFVRnhUB0ERAltyLrTpCBolR4+1796zeud54M7NteLqt1OmHHL+ez+4RRh5hbrBdKE/cNbS+Us/subg7W8u9tQllOjVEIeBEodkG/L2C9hqh+tBM80SUASCL7fFkvyNoqd7hkGrTWlAMbFOfSTD8ujzPzlYFMPwR0pev+jSKVDyr0LraSPbzMaul0bJiZzFAyOZ8GrYfkERUocnZi6YcukkvzOVbC8ddKEinUJVZIgThqIcz2It127tzpJfrefPNNPELzwq8Jwu/BBx/k1ltvJSlJX4VPuOPV82xo11QEYLhPITbni5Wf9dhEV0VdFgKKAFTPR5VFIIcjXhJQKKz4tw5cy6VcpWvfpyngIb7klMYR7kY6MYrSBYl1TRxkJwcbvM7AcJ6giyPDq3tj1mlwUt6SxzxuehdlcUhjCvK2LZXxFqEMGANt94uw7f/kQFNb+5yBrcGV1Kw9DH1n+TICz7Z0G2yeAC2D8xeJAeBUiNUNgb0HfWXCggxc+Y1+7b3UJBjWDZrU8xGKW3ZBviZjKhgsRalxl7bns/s6tYbUGLlzCGafqq+xEbh9Oby2Q45xeBOYMyKA9IMgIjb/Dva9Iw9qeKXPPjgGMucDmX6sSsigsSk6VQ56nopI6f5t5zDTWIzLr3RbfCG/l/50pokUmh6SR1zWnqK5ni1ViT412YvJjySNxKZEae9jjz3GG2+8wfHjx0tdolOnTjz66KOMGRNctUe44tXzbGjXUgRguNCP7XkUARjb5xfL0SsCMJZPT8VeLgLH+ZGFPIHQWvFvvZlIc3qVO150+JmTTGEBxRL5BpMYQEfOaXjomqsinQr5N/ncL01h5nIyWERcmHQJN7kcDCvOxs8I16uauCQhg0tMMZCCI76UbboR9r9fypeymUGbgvzzW7hLTg6gXS1YNxaSqq85X0UeYzXWgAhk5cKC9T4ycN46yJYlQcMWsTAZ6SxKeS/2kX7in3BrDYYtWDVRtUHgzR3wh+XydpunwebxUCOQ5O+eV+HrP8mDUlqdcaAP7rKpMoAOZPoxJz6N3mbjOOe4OEQWPcKu+7ef017H3wLNu+EtdGE4bUociR6SRxGA4X2S8/PzGT58OKtWrfJq/91777389re/pXnz5hQVFbFhwwaeeOIJVq9ejTAAEU7A99xzT3iD0DGbnmdDEYA6gKyGXRQBWA0P3SBbVgSgQQ5ChRE5BPaxgeW8oHHTtTCYh6lPW10Lb2Aff0f+hpCAhScZQZMKOM/pWvxMJ6FLmMst2PlMGpbA70jhH8FMVWbft51F3KkxBWkWZ2JFQgY1YsEUxFkAy3tClqzpw8VPQptHgsJJ8Ik3LIYPZW1wbroI3hkQE0keQe1XdVYIOJyw6pvzrsI/y6aYugEym6FdCzm7r3VTEP9fNYWAURDYdBR6f+ErAT7bEi2wfiy0CyTFdnIdLO8LHr+LRXMyDBRyE/reKSpz/4FMP6Zbk/mz1TjOsz7dv5E4NaZuyTxDIn8JGUJR0fEI8ziJrPExkrbcROdS59VD8igCMOQjKXXgpEmTvKSeaO+88w4333xziX5Op5MhQ4awbNkyTCYTW7du5bLLLgtvIOXMpufZ0E6hMgCjekSGXUwRgIY9miofmCIAq/wRqw0KBL7nSzbzngSGjWRG8CTpNNIF0ud8y0fI9rB1SOYpRpJOdF6a3eSSTV9cGre6FP5DAtfp2oeeThOLc3nHJYtTDzFZ+SQ+DXMMlDbhFWYXpiD+rgdx0HMONBipB4JzffIc0HUG7DgtD3ulD9x+SVBTqc4KgZhCQBDg3+89TwYKF99ArVlD6NLmfHZf+1aQFD3D9JjCVQVrDASExmunT+FwgRzP+4Pg+lYBYiw6Cos7QJGGGe/2KVww3hgbKyOKQKYf15njec2W4s2kMkrL53EK8RFAZ5uNkaTyYci6f4U4vNrOvyA7InWlKXfTF1MABT49JI8iAMP35Aitv9q1a3Pq1Cmv6ceuXbsCTi7MQHr18lX0CJOQF14QF/7Ra3qeDW00igCM3vkYeSXj/LY1MkoqtkggoAjASKCq5jQcAiJ7biPvsJMFUmxCcFmQgIlklBuzmONfrGY1snp+K+p4BaOtUXIGdvIDWfQDSZdQ7GAZljDpEhZ7PN5S4M0aU5D7LIk8GiumIEcXw6qh4KfvgzUdBmyC1Mxyz9u/w67T0HkG5PolfNhMsOoq6BJ907mgYledFQLhQuDISfhyLSzaCIXFPndg4czbuQ3UrRmuVdQ8CoHII1DohL5fwKZj8lp3t4MXAqmDuB2wchCcWCkPanUftJse+aDDsMLj9nyec8qine1NFhbGp5NoIPLPzmJyNFrNJpqQwWpMIVZdOHHzLEv5RmOoJt7hHmUINgLLnOgheQKZgPiqN47ipEg6wXhSSKJ2zJh+aB+/SJqAHDlyhAYNGniXvOaaa/joo48CPv2iHDgx0XcJP2zYMObPnx+GnxT9U+h5NrSzKQJQP75VuaciAKvy6Rp7b4oANPb5qOjCiIAbN8t5nl/ZLM1am5YMZTIWyje6sOPiCRayG1mMuA8t+DM9Q76VDnabRXxMHn+QhploQQYrMREe/aGDbpfXFOQ4suvaB7ZURseKKciu5+C7STK8okSr/3qwpgYF+8w9MH6hPKRxCmydALWjkwAaVLyqs0JAIaAQUAiUREBktv5mMXygkXbo3wgWjgJroDL1bffAbk12UZ0B0HshxIBG7qfOYn5nz9W8/8Sx0mCmH5HQ/RMk3H9Yx1JN9UR9Ur1SLmnl6CiHQvIIoMW6eRynGBl3Kwmk0TBq74yx9nvgxIkT1Knjc2EeN24cM2bMCLiF3Nxc0tJ8772jRo1izpw5Ud1uKM+GIgCjekSGXUwRgIY9miofmCIAq/wRqw36I+CgiIU8zklNFl9jOtOPezBhKhewLAq9zsBa/Zjr6cAVXFru+HB1yONuinhTms7GlaTyXtheKle7HIwuzvazP4FU4liWkM5FMfCFB/FNb8N1cOBjGfZG40CUbAWZ8TBpLTynkRYcdAEsGBXAKTJch63mUQgoBBQCCoGwIPDMVnhwvTxVizTYMB5qBSpb3/8hbLxeHpTYGAZtgXgfUWHkttXlYGhxtpSDJvLdZhvM9MOn+zcKJ2skOCuq+1eahEsq8UxlBPV1XJqGQvKIDRSSRT4npb2YsJBBI8S/VSsdAbfbTY0aNcjJyaFhw4bs27cPi6V0vObOncvo0aO9E02cOJF//vOfUYU1lGdDEYBRPSLDLqYIQMMeTZUPTBGAVf6I1Qa1CIgXsnk84r2V9W9tGE4XbtEFmNCPmcz8Es7A99KfzjTRNUdFO3koJpshONka1hdlbVyvOAq5zyGLZbeKM3tJwLSYMAXJh2XdIfs7eWuXPA2tHwjqGJxuGDQbVmjknx7uCFO7BjWV6qwQUAgoBBQCUUZgzi9wxTyRmXW+pVph/ThoG6iMXfztWNoNXH5igSYb9FsNNUs3jYjytspc7ojHTd+iLA553FK/F63J/N5Aph8iuHyeoJBnpTgrqvu3ij1e+Rb/JiRbJjOEVtTVdVShkDx2CsjhsDR/HCbSaair4kRXYFW40/XXX8+HH37o3eFjjz3GlClTSuz29OnTXv2/HTt2eD9buHCh1xQkmi2UZ0MRgNE8IeOupQhA455NVY9MEYBV/YTV/kpFIIsDzGcydo0LXGdupi0jdKG2mf08xzLpi0Q8Fp5gOBcSHUEsF/vIojce/B0qLKQzDyvdde2jvE5CjPk2ex4faUxBRptt/M+WiinILLry1ovI53l7YElncPjjFAe95kH9YUEteaQAOnxSUjh+9ggYfWFQU6nOCgGFgEJAIRAlBLafhO6fgTB2OtvEF7A5I2BkoN/d9ixY0gny98hRdnwDmv0+SpGHvkyRx8PwUvR8/2BJ4AVbSugTR2CkT/dvrLdw9mzz6f6twhTiO9VPHGcyC3D5aQGLM/8/+iGMP/S2YEkeJ3ayOYjQBfRvqdQnnmS9y1brfjt37qRjx44UFPiId5HlJ5yAmzdvjtD9W79+PS+++CL79+/3fj5w4EAWL14cdcyCfTZEgIoAjPoxGXJBRQAa8liqRVCKAKwWx6w2WRoCR9jBIqbixuX3cRz9uZcm6LvVn8V2PmCLNH0tkpnGSDKi5AxsZyE5yO6DJhqQwRpMhKc0qcDjYXBRFt96/LGCydYkJlmTYuMBO7IQVg+XvlxgzYCBmyGlRVB7WHMY+s0CkRF4tqXbYMsEaJEe1FSqs0JAIaAQUAhEGIEThdBlJvycIy80vTvc1z7A4iJjbs0YOPKl3KHZbdDxtQhHXPHpxeXdH+15fKi5vOttsjIrPg2rgS7vStf9E5eZX2HV+T6mRSwfO/czh+PkSR/dTGdG0DYogIMhecQ7pSD/XPgxzUASNUkK0cAkqGCrUGdB6F133XUITcCy2oABA7w6gaJsONotmGfjbGyKAIz2KRlzPUUAGvNcqkNUigCsDqes9hgQgb2sYhX/kj43Y2MoU6hDy3KREwLPr7CGFcjZAS2pzRSGYYuSM3A+T1LI36R4rfQjjS+IC1MM+86Ygpz2u50Xf7xmxqcx2GwrFytDdNj5DGx/UA4l/VLovw4swd3K/2Mb3C3LFHFZLVg7FpKshtitCkIhoBBQCFR7BBwuGDIHlmukG25sBe8OLEMKdsfjsOMxGb8aXaDfSjCXbxpW2cC/6CjgUYdf2TJwYZyJZQkZ1DaQfEdg3b+nSeSOkGAU72bPs5xN+LLDzrbhtOEWugQ9p16SR6wryn4dyE7LwvE3hbph02cOegMxPODkyZO8+eabXnff77//nqysLK8eYP369encuTOiVHjMmDHEVRKhrffZ8D8CRQDG8AMZxtAVARhGMNVUQSGgCMCg4FKdqyIC25jJN3wibU34s41gKqnUK3fLDlxM5St2ckzq25NmTKR3VF74PLjI4UocLJdiSGQSyUwudw96Oyx12bmqOEcqaqlBHCsSMmhmCmSdqHf2KPQTpiDrr4aDGke5C66Brh8GZQoiprpuEXz8kxz3zRfB2wOCmioKG1dLKAQUAgqB6onAn1fAK9/Le+9aD5ZfAQmBfBgOfwlrhLGAn1qgMPsYuAWSGhseyAUuO1cX50gSJSnEsTQhnTYGM/Aq7QLTxghS+Sjk96f5/MA7bJTOqTV1mcxQzDrM3rQHrJfkyeMERWRLwy3Ee3X/hP6falUPAb3PhiIAq97ZV3RHigCsKIJqfKgIKAIwVOTUuCqDgLixXctr/MQyaU9pNGQETyJubstrORR5nYG1pSZXcznjuKy84WH53M1xsuiFGznNIY1PsRGczl1ZAf3dUcAUTVbBJXFmFidkkFxJN7BBAejM8wm652i+EV76LFz016CmElpSXWfADn9pQeDVvvDHi4OaSnVWCCgEFAIKgTAj8Mp2+PNKedKGybB5PDQIlPTt1YztBI4sv4Em6LMY6vYPc4Thn26n28mAomxyNdn6H9lSGWExVuainSXkcJVG968xGawOWfdvLyd5lHk4/a4qhePvdEYjJFpCaXpIniJySpjLCaffdBphVo6/ocAeE2P0PBvajagMwJg42ogHqQjAiEOsFgiAgCIA1aOhEADcOFnMdA7zrYRHPdowmIcxU35N535Oe52BCzW6L/9HX7oRHXcIB+vJRujcOc/tI44aXhFtcxCC12U9FEJX6CZ7Ll+47FK3CeZ43rSlVFoZRlAPcu5uWCpMQfxv6k3QeyHUGxTUVDtPQ+cZsrC8zQSrr4LO5SeQBrWW6qwQUAgoBBQC+hBYdhAGzwaXXxJfghlWXQWdApm/OgO4xrd7Dlrdq2/hSux1yuOmf1EWezWOv1OsSfzVYHq9Lg6TRQ88+Ou7CcJsIdYQynQF7AXYeYA5HNXo/j3AQNojvvKE1sojeUTJb7bX8ff8wxZHHOIi2UpCaIuqUTGBQHnPRmmbUARgTBxtxINUBGDEIVYLKAJQPQMKgbIRsFPAAqZwWqMZ04ye9OYOXeUbX3OA6SxFZBWebUIH8HGG05xaUTmCQl4mnwektSx08IppxxGe2/9cj9ubYbBTYwrytDWZO6yJUdlnhRcprcTLVtNnCpLcLKjpZ+yBCQvlIY1TYOsEqB0jcAS1YdVZIaAQUAgYGIE92dBlBpwqloP8YDBclxkgcKHrsPE38OsHcocLroauHxle18Hh8TC2OIflbtl84mpzPG8Y7HLOp/s3GierJayFhVoiE0N6ssR714usYD37pPFjuIQb6BjSnGcHlUXyCLMPYfohG8rh1fxLILVC66rBxkdAEYDGPyOjRqgIQKOeTNWPS2UAVv0zVjsMAoF8TvAlj1CIXNN5KVfRgWt1zfQl3/Mem6W+NUhkGqO8HnCRbuIlOJebsPOFtFQCvyeFF8O2/G63i35FWfirDAkVwNnxafSJFVOQH6bC94/KmGRcDv3WgCW4s/rrGnh+mzzV4Atg/igwK+mfsD13aiKFgEJAIVAWAjl26D6zpDTDQx3gqW5ljNz9D9h2t9wh7WIYsB4s5UuBVPapTLLn8aqzSAqjg8nCgvh0Eg0mz1G67t9wUvk4ZN2/hezkLTZI+29FHa8hm6WC+nuBSB43bnI4iBO5IiKRDJKjdOlb2c9ddV9fEYDV/QkIff+KAAwdOzWyYggoArBi+KnRVRCBU/zCfKbgRH6R7s5ttGJguTsWBNx/WMdSdkt9RQbgYwwjPgpaMOKVNJu+uJAdKlJ4nQSdRGa5GwXmnxEa9+9bmzhWJWRwQUyYgrhh3Tg4JJOlNLkBOv83qIwPpxsGzoaVGqfJRzrCk131oKn6KAQUAgoBhUBFEHC54cr5MFdOAuOKZvDZMDAF+sZ1fCWsHAie8/IZWNJg4CZIbVWRkKIy9m1nEXfa86S16seZWBGfTkOD/S22s9RrWuZfLmuiYrp/P3OSRzS6f8nY+Bujqa1Dx7m8QyqN5PFdth7FTr403EYSqdQPmcgsLxb1ubEQUASgsc4jlqJRBGAsnVbVilURgFXrPNVuwoTAQb5hCdPx+IlICwe3gdxPIy4vdxUnLp5iETs4KvXtRlPuoi8mIv9r38n3ZCEEywv9Ykgig2VYaFvuHvR2mGbP52mn/xogsg4WxqeTYLCsg1L35MiBpV0hd6f88WUvQKYmG6QcUI4UQIdP4HCB3HHOCBgVHRlIvcem+ikEFAIKgSqHwAPrYPrX8rYuqQlrx0KqLcB2Cw/B4g5QLP+9pscsaDjG8BitdjkYXZztp/yLV+xDZP51MpevXxzNDUZK9+9B5nKEXGkr9zGAjoTHsbk0kiefUyWqRczYvI6/JkQ9hGrVAQFFAFaHU47MHiP/TTAycatZYx8BRQDG/hmqHUQIgR9ZzDpel2a3kMBwHqemDlOPXIp4mHkc1byUjucyJuggEcOxrSI+JI/bpKnMZJLOCkxh0qZxezxcU5zDAo3u0I3meF42mO5QQExzd8GSzuD0+wIRZ4bei4J2fVx9GPrPApEReLZlxMOW8dA8PRynquZQCCgEFAIKAS0C/9sFNy6R/2/tBNg4HpqlBcDLbYfl/eDUOrlD60fgkicND/I+t4u+RVmc9NMdFkG/bkvhWouxzCcC6f4l8RRJ3BkS1iIL75+sZC2/SONH0pab6BzSnKUN0pI8xeSSyzGpqyD9fI6/xiJdwwaCmqhUBBQBqB6MUBFQBGCoyKlxFUVAEYAVRVCNr9IIbOEDtjNL2mMSNRnBVF36LgfI8palaJ2B76QPPQnOaCJUoPO4iyLekobbuIpU3g1biUqWx+3VA9yjcR580ZrM72PFFOTQbFh7hQyzrTYM2gJJTYKC/8Vt8H9r5CGX1/ZloSRagppKdVYIKAQUAgqBchDYcBT6fgHFrvMdLSZYPBr6Nipj8NY/wd5X5Q71hkGvuSAugQzc8jweBhdlsV1jxnW3JZEnbcmGizyfqRQyXfMuUjHdv8X8yOvI5G1LavO4V/cvfOfnT/JcmNmYHA5JZm94HX8bYEO5fhnuwYtwQIoAjDDAVXh6RQBW4cM1+NYUAWjwA1LhVS4CogR4JS/xC2ulQGrQhGE8jtB6Ka99w0GeYYn0smjFzGMMpSV1yhte4c89FJHNEJzIdVHJTCeRP1d4/rMT/OB20r8oS1LDEffg8+PT6WqwMqSAm/7+MfjhcfnjGh2h3yow63+xF2aS134Fn+yRpxrbHD4eAuKLqWoKAYWAQkAhUHEEDuZB5xklpRde6wu3XVzG/Hv/A1v/KHcQDvDCCV44whu4icz739hzmeOSzSeGmqx8HJ+G2WDyG5HQ/dvHKW+VhYPzrK/Q/XuG0dQNg+6f//GfJXnMFjO1M+NxSwXXkExtElEp/gb+kYlYaIoAjBi0VX5iRQBW+SM27AYVAWjYo1GBGQUBFw6+YirHkDXiGtLOqwlo0mHqsYAfeJuN0pYyvM7AI6lF5G/qXfxCFn3wSO7GFtKZj5WybBGDO4XPncXcZJd1eIQQuTAFEf82fBMZjCIL8PBcOdSmN0Gnd4IyBcm1Q5cZsDNLnup3reGN/kFNZXjYVIAKAYWAQqAyECh0Qp/PYfNxefU7LoWXepcR0Yk1sKI/eBznO4lLnv5rQTjBG7xNteczXaO9e1GcmaUJ6aQZ7G+tmyOcpjseTvihKt4/FmAlNIesIhwI3b9D5Egn9Vf605ngMvb1HLUgeRxOB3EWF3Uy5YvfBNJIicJlrp44VZ/oI6AIwOhjXlVWVARgVTnJ2NuHIgBj78xUxJWAQBG5zOdRcjgsrZ7JAIQ7cFw5ph5Cp+ZNNrCIXdL4C6npLVVJiIJmjJ0F5DBBWt9EQzJYjSmML6+P2vN5UfPFpJvJwpfx6dgMlpVQ6qPkyIYlXSDvR/njy1+ClncE9fT9cAq6zoRcv++YYoJ7L4NneygSMCgwVWeFgEJAIeCHgMi0vmExfLhbhmXgBbBgVBmZ1oUHYXHHkqYfXT6AJtcZHuPPnMXcrLloq0EcyxIyaGEwx18PLnIYjYNVEq4V1f17mdWsYq8053DacAtdInJ+guTJc57CZkmgXmbKuTWsJHpLf8t7B4xIUGpSQyCgCEBDHENMBqEIwJg8tioRtCIAq8Qxqk1EA4FcjjKPRyjS3Di351racVW5IThx8zSL2a4hEcVt9T30i4ozcD6PU8hzUqxW+pPG58SFSS/H6fEwtjiHZRpTkNssCTxvO//iXC5gldkhZ4fPGdiZdz6KOAv0WQp1ykorKRn08oMwbK6sTSV6TesKD3aszE2qtRUCCgGFQOwi8PQWeGiDHH/LdNgwDmoG8r9wFcHyPnB6kzyw1SRo9zfDg/GN28mQoiwK/SIVSnez4tPoaw5kc1x528rnKQp5RgrARsV0/5axm1c1sizNqcUTDEfIq0Sibd29GpfTTZIl/RwBKMw+hOmHcvyNBOKxM6ciAGPnrIwWqSIAjXYi1SceRQBWn7NWOw0DAsf5kYU8gSgL9m+9mUhzepW7Qh7FXlOQwxoS8Sou5Vo6lDu+oh18t/FX4GCFNFUi95PMIxWd/tz4kx43fYqy2K8xBXnVlsINBnMmDLjpg5/BunHyx/F1YaAwBRG/OvW32T/D2AXg8shjXukDt1+ifx7VUyGgEFAIKARA/E69cj6S9zO5HQoAACAASURBVG2q1Uf+tQkk3ydSBjf/Fva9K0NYbwj0mmd404+jHrfX8feg5u/q89ZkbjOg2ZadZd73Df9TMnEBGazBRGgai79ymof4Eruf7l8iVqYzmnqkRuRHYz+b2bv7Z5Kd9c4RgHGYvOSfBeORrhEBQU0aEAFFAKqHI1QEFAEYKnJqXEURUARgRRFU46sdAvvYyHL+rnmptTCYh6lP23LxOES2lwTMRxbvvoNe9KZFueMr2sHNcbLoiVuTiZjGTGwMqej058ZvczsZVJRFkd+M8cCihAzam2LECnf7I7DzKRmTGl2g30owi93ob//dBTctkfuLP/4fDIZrM/XPo3oqBBQCCoHqjMB3J6HHZ5Dndw8nfpfOHQkjmpaBzE8vwTd3yh2SW8DAjYY3/Sj2eBhRnM1Gt1OK/7eWBP5hTSbOYPIaPt2/HnjwF2esuO6fIP8Oki1hICooulLWwYf+03Ka/czjURrtHkmys/45AjCN+tiioN8ceuRqZLQQUARgtJCueusoArDqnWms7EgRgLFyUipOQyGwgy/ZxHtSTOJlcARPem+Fy2vfcZhpLMLtl79gweQtYWlB7fKGV/hzB+vIZjj43aLHUcOrB2gOo4D2h84ibrP7ldECjeNMrEjIoI7BhMpLBdXjgjWj4ch8+eMLfw8dXw9axO+f38Jdq+WphCPwrOHlfHGt8ImrCRQCCgGFQOwjcKLQ5/j7i+w1xd+6w6T2Zezv2DJYNRjE7/SzzZwMA9ZDurHTsD0eD3+y5/G+q1jaYE+ThdkG1Nb1VRqMwcFKKd4kppLEXSE/hP9mNSvYI40fykX8LoxGZv6TC7mXL3mIPI7TdPe4cwRg88ymJJIR8j7UwKqFgCIAq9Z5RnM3igCMJtpqLX8EFAGongeFQAgICFOPjbzDThZIo4UT3Aim6no5FIYgb7BeGt+ANJ5hVFRMQQp5iXwekta30JF0FhJHcNltZUE4yZ7Hq07/PEDoa7LyRXwaFoNlLZS6D/tpWNIZ8uUvHnR4FZr/Mein5/FN8JhGfirRAl+Nhl4Ngp5ODVAIKAQUAtUCAbsLhsyBFYfk7d7YCt4dWMZ9TP4vsKQT2E/KA7vPhEZjDY/dS45CHnLkS3E2jTN5TT+MeJGWzzQKeVqK18ow0vgYUTobSlvBT/ybNdJQYaL2JCOwRUD3z4WTRTzFUXZ41zxLAKZYatE6s60y/QjlEKvoGEUAVtGDjcK2FAEYBZDVEqUioAhA9WAoBEJEwI2b5TzPr2yWZqhNS4YyGYsOEu1tNrCAndL4/rTkdnqGGJX+YYLEzOVG7MySBiVwKyneEufwNIfHw6jibNZqSpfutCTylC05PItEepbs7bC0G7j8voTFWaHvcqjdI6jVhQzV3avhn9/Jw9JtsPxKuDzyCaBBxas6KwQUAgqBykZA/N780wp4zcfHnGvd6sGyKyAhkKqEswCW94Ssb+SBbR6Fi5+o7G2Vu/5XLjsTinNw+/UUfzUXJ2RwiQGlNOws92b/ldT9W42JWuXut7QOB8jy6v4Vc778Wej+icvS+qSFNGdZg8S70Xpe50fOa3YIAjDN2ZhUS20yM5VmR9hBj+EJFQEYw4dXyaErArCSD6AaL68IwGp8+GrrFUfAQZHXFOSkpiylMZ3ox72YyrntFs7AU5jPT5yQgrmbvnTnwooHWM4MbnLIog9uTfwpvEkCV4dtfSFe3rsoi8Ma8fK3bKlMsIQv2zBsAZf6LeRTWK/BJKG+zxQksWFQS7s9cMsS+O+P8rC6ibDqKmilqouCwlN1VggoBKo2Ai9/B3eskvfYKBk2jYcGge6RBGu48Xr49SN5YINR0GMWGFyGYpfbyYCibHIkqxP4wJbKaAP+3XRz9Izu3zE/vM2kswBriGW6gvQT5J8gAf3bXfShB80i8tD/wAI28rY0d/Pd11HTmYnNYlMEYERQj91JFQEYu2dX2ZErArCyT6D6rq8IwOp79mrnYUKgkCzm8YhXJ8a/tWE4Xbil3FWOkMP9zKHI73Y7GRt/YzS1SSl3fEU7OPmeLPoDhX5TJZHBciy0qej058ZvdDkYVpwt+ScnAAvi0+lotoZtnYhO9N0DsGu6vETN7tBvOZiCcwN0uGD8Qpj9izxdkxRYMxYuiPzRRxQqNblCQCGgEAgHAksOwNA5sou6kE1YdSV0rFvGCruehe/ukzukXgQDNoA1PRyhRWyO0x43/Yuy2KO5NJtsTWKSNSli64Y6cWDdvydJ4u5Qp+VV1rKM3dL4QbTiVrqHPGdZAw/zHYuYhscv59KMjQ67/0qc04bFYlEEYESQj91JFQEYu2dX2ZErArCyT6D6rq8IwOp79mrnYUQgiwPMZzJ2ZJ2eztxMW0aUu5IQthYC1/6tDfWYzJByswjLnVxHhyI+IA9Zz85MJumswESqjhn0dXnLWcRdGlOQBsIUJD6dBiazvkkqs5cQkF89Ao5+JUfR/Hbo8ErQkRU5YfhcWK7RtGqd4csErJ0Y9JRqgEJAIaAQqDII/JQNXWbAadn/go8GwzVlVWIeWej7Xe1fPGtJ8zn+ChLQwM3p8TCuOIelbj+bY2Cc2cbbtlTDOf4KKEvX/RtKGp+ErPu3ir38Czntswk1eMqr+xeo5jv0g83hMF/ycIn3uL7cjWN3bZxOpyIAQ4e3yo5UBGCVPdqIb0wRgBGHWC0QAAFFAKpHQyEQJgSOsINFTMXt56wLcfTjHprSpcxVhObMS6xiDT9L/a6hPWNpF6YIy54ml4kU847UycZYUnknrILX/2fP4w2NKUgnk4V58ekkxoQpyCmfoHy+fFZeV+Bmfwj6rHLsMGAWbJETSOlUB5ZcAWnBJRYGvb4aoBBQCCgEjIiA+N3YbSb8cFqO7pGO8GTXMiLO+8ln3OTwLxuNg55zoMFII25ViukBex4va/5GXh5nZmFCBkkG/BtZuu5fIzJYE7Lu3yGyeYC5ku5fPBav7l9Dwp+9aaeAeTxMNvJtXDvG0Z6rCYXkMfyDFgMBFhUV8eabbzJz5ky+/fZbcnNzqV27Nh06dOCWW25h3Lhxlb6LUJ6NAwcO0Lhx47Oxi/84UOkbUQFEHQFFAEYdcrXgGQQUAageBYVAGBHYyypW8S9pRlE+IkxB6lC2cHQBdu5jNsf9sghNxPE4w2lFnTBGWfpUHorIYjAuZLH0ZJ4lkdvDtr4wBbmyOIeVmuyGa8zxvG5LMWR2Q4nNZ22DZd3B5Vc2LUqA+66EWmV9My0dxuOF0Odz2CnLHNGvIcwfVYbAfdhORU2kEFAIKASMg4DLDVfMhy/3yTFd1QxmDANToG9Ojlzf7+ac7+WBF0+FNg8bZ4MBInnPWcRfNFnydYljRUIGFxgwSz4Sun92nDzMPPYjM7930JveNA/7GQpDt6VM56Dm3acJnb0XuMK5OBSSJ+yBVrMJd+3axZgxY/jxR41Ysh8O4vOPP/6YhAQhKFM5LZRnQxGAlXNWRltVEYBGO5HqE48iAKvPWaudRgmBb/mMr/lYWi2BNEYwlVTqlRnFTo7xGAsQGYFnWz1SeIbRJBH5VDAXv5BFbzyS4Lb1jIh32VmMwcB78oy+0c8afaPHrUncY0B9o1L3tv9Dn8C8f0tsBAM3gzAHCbL9mgu9Pof9efLAMRfCzGFgMQU5oequEFAIKARiFIH718HfvpaDb1fLp4+aEkgyVvw9WTceDn0uD2w0Hrp9AgbMnvMPdJ3LwUiNTq74qz8/Pp0uBtTJ9en+XYGDFRLeSVRM9+911rEYmfTpTya30yMiT/Mm/ssO5kpz16AJw3kSKz5iKRSSJyLBVpNJjx07RqdOnfj111+9O54wYQI333wzDRs25NChQ7z77rt8+umn3s+uvvpqLwlYWS2UZ0MRgJV1WsZaVxGA8nk0Be4ERJ6+SIsVyh97gE+Al4H/Z+88oKQqsjf+657pnhyQJMEMCioICEjOOYrhb1x1TauueVcURVBQknFdXbOu2RVMZMlhEARUBEEEQQQFJE5Onf6nXs8wXT3dM91vXve8hqpzPLvwqm7d+qro7vfVvd8trMH2iVeoFqDl44n/OoCWX1f+Zi2U8JdVY/8xYHyYPjwOiHHB2vnAXUA/QJSTFK+AW4EPgDfApzpAmBNX010RgMbiqawpBDTybjWvsp2lEhrpNGYIE0moprDHdDYwgx+kseLWW9x+R6OVMo9cvwrAVkQ6z0qsBkYi/uR20rc4hzwfslN8GX5sT2OICSscBsT+h3/C9mfkR3W7Qc/FYRcFEUa2ZUP3z+GAbz0W4Lpz4O0+VUS9RONgqDkUAgoBhUAUEHjvZ7husTxRvURvxd/T06twYMtE2DJO7pB+PvRZDfHmrqq0x+2iZ3E2B/0q/r5iT+Wa+NqLbqpquwuZTCGTpC42BpDOdN26f1/zK/9ihWTzFDJ5kqGIFGCj2y8sZxX/kcyKC9uhTCLV5/eOHpLHaF9PJHt33nknL70kXvlh/PjxPPZY5Vdo8fcTJkzQ+syfP5+BAwfWCkR6zoYiAGtlq0w3qSIAK7ZkOPA+EOwrXlwJCWLwF527eD34iVzJhiJFAIowkY+C+HwLaDmDwcJ71pat+ZDONVc1TBGAEQBVmVQIuHGymKnsZaMERkNa0p9HiCN41VsXbi0KcJtfVeG76E63CKS/BNqtAh6jCJnYstGHdD7DgnHFOua5SrmiJFd65UnFwuLEDM61Gv9j3/CT6XbCyoFwcIls+qw7oe2/dU234RD0/AKE/pVvu7sVPN/N9EEsutasBikEFAIKAYHAN396P/9KXBV4iOjnxSOgh7geD9b2zoSvR8pPbXWg7zpIPcvU4BZ4PPQvzmaTKDLl0+6KT2KSPcWUvpeynFzEK1tFtoL3ojALK/V0+byfXE33r4iK4ieC9JvEUJqSqctmVYMO8DNfMQHxe628WYnTJFsaaLEiFU0PyWO4wyeIQZfLRd26dcnJyeG0005jx44dxMVV/t0p+p155pns3r2b3r17s2SJ3++wKOGl52woAjBKm2PyaRQB6N2gtsAqQNQ9FBFwk0ELoRF/vhIQRJloggRsD+Tp2NcbgLfLxolvmB9Bu1JqVfZ3oRCADQDxX1VNfFKJKyxBZOYCIh/ML6ZDGz4YtLhzEZn4J/Ck+P0DnFS23kvKJhHlQXuBVF1Ax/IrDVEEoBEoKhsKgQAICFHp+YznKLulp2fQle7cWeUN+QHyNT1A3x/CSdiYxnAaGFiVN9jGeXCWpfbIN/FJjCGFhw3d72cdhYx3yIHdp1usLE3MpJ4lBvJeSw55i4IU+olVtX8bThdfOeG3rH0wYBYUVbyXaEYe7wDjRNy6agoBhYBC4DhD4Pd86DAD9vvl+bzWC245t4rF5m6FJR3B6ftaYIXu86Fhf1Oj5PZ4uK40jy9d8o3PAKuNTxLSiTNh2nJw3b952OisC+9SXDzKXHZxRBp/B93oifEEbj6HmMPDFJMjzdeF22iOeBWUmx6SRxcQahBbt26lZcuWGhI333wzr7/+elBUxHNRJEQQhPv27aN+/cjrZRtxNhQBqA66QEARgN5zIEQkepSlu4r/Xe13PB4AppX9XXUptcFOlkj77QSIqDqhdF9clppbntIbCgEYyqkVxN7cso5vis+wAINECNBPoH2zCZKwXVmqs29XEf98R9lf/LWa6MVQ/PLvowhAPaipMQqBEBEo4DBzeIQiPzHrVoyinXavEbytYicvsFLqIIqBPMYg4rQ7g8g2NwfIpitu9vtMZCGdT7Fj3EuVx+Ph1tJ8PnYJtYeK1t1q48uEdGwmfAGqhPzR72BpV3CLr5SyZk2AXllwkrivCr/N/c0rgu90y2Nf6AZ3RacwdPhOqxEKAYWAQkAHAoUO6PFF5Wrod7WCF6pSvyjNhiUXQb5foYDWT8PZ/9DhSXSHTHYUMsnvAqy5JY6liRlkmPACzKv7dzEOP7WkZCaQzH26wXuTNSzgZ2m8IP4EAWh0c1CsXc4eYZdkuiVD6IhIFKvcFAFo9C4Et7dq1Sq6dfPu+yOPPMITTzwRtLN4PmmSNw39iy++YORIvyjgKLit52woAjAKGxMDUygC0KvHJyLfRHsVApacFG+8ImJPXAuIWokiCq8iTlz/Rvtq+hlFAIp03/K3+55l0YD+Hv4fHKsUMAaYEmAJyWWlwesAW4Dz9C8z4EhFABoMqDKnEPBHQPzInMd4nNp9Q0XrzK2cTd8qAXtRqyq8U+pzGRdwOW2iArSDVeRoqgsVqUkW6pDJKuI0iVZjWrHHw+CSHNaLlFqfdlN8Is/bza3ddMzd396DddfJgCSdUlYUpLqg8cA4frQdrlnom2Tl7fdeX7j2HGOwV1YUAgoBhUBtIuDxwNUL4WM/cZ9+Tb1V0IMWQBIps6tGwP7y+/ayVZx6DXR4z/R6CV86S7i2VE5mysSiRb83M2HFX4FuIVMo1JKVKlpNdf/WsIvn/AqJNCVD0/1LrEIuRc+Z9eBmOc/z27FXTq+VxlxAXx5EpAAHanpIHj3+qTHwww8/0KaN9zeu0AL897+Dy6n4agUKInDMGPE6Hd2m52woAjC6e2TW2RQBiKYiW/6vVkTolZOB/nv2UFlqsPh7ofa5wIBNNZoAFGm/ImRGpC7/WhbhVyGSUeHwh8BVZX9sVDYm0HJeAf5W9kC88gWvhx4+GIoADB8zNUIhEDYCf7BB0wQUPz7LmwWr9oOzSRVkXiGlPMQs/tRUEbzNgkWLAmxRrRJB2G4GHFDICxTyiPQsnvZaZWALCcZMIj4APW56FGezz68y8LO2FG6xiY/TGGgb7oVf/iU7Wq8n9FgI1uC6j1Wt7OUf4Q45E5s4C3w+GIafHgOYKBcVAgoBhUAVCDy5HsaKvByf1iwDvrkUTqqq/sWPY2GrTEaR2Q56Z0Gcub8zNrqdmu6fb7azoJ4+S0inT1wwSfDaPUbR0v2zE6fp/p2CiH0wtm1gOj8wQzIqCrQN5QnsBNdbDInkEb9dSg8b67CZrdnrQgSiVAsKCqhTpw4Oh4PWrVtrhGCwJp5v2rRJe3z77bfzn//IBV2iAV9IZ8PPEUUARmNnzD+HIgC9enkiyL8ANKVXP+WjY5soxCW+LvuTKP0TbjXeQKfBaALwprLKvWKuqnwUwmAihEbEvMtqs7KXgiQUZKFoN/poGBpxshUBaASKyoZCIAQEtrGY1bwm9YwnkcE8zkkEZ3K2c5BxzMPtI7ZdnxSmMoKUoLWDQnAoxC6iqnEe11DKLGlEIreS6lcoJESTQbt953IwsCRHipUUL0UiFbinSV+KpMW4HbCiPxwSihY+rdm90OY53fBM+hYe8bsWS4iD+cOgVxPdZtVAhYBCQCFQqwh8sRNGzZddSLd7yb8WVfE/v8+ANZfLAxPqeyOuk0+t1TVVN/lBj1ur+LvH77Jrmi2F20162RUJ3T8HLu23zU5k0uw2utCb5tXBGPbzXaxhOfL3sCD9hvAEGVRVYQZCInlKDsIsfdH+YS/GDAOGHwDxby4CbciQIcybN0+z/OGHH3LVVeXxMhWTffTRR1x9taix6W3XXnst7733XgS8qdpkSGfDz4QiAKO+TaacUBGAaOUuRdkoQfNXldsmfg6UK8ROB0QabU2b0QRguZah8KtZAF0/8fcip6087v9L4OIqFiGKo3xX9vwpYHRNF+wzXhGABoKpTCkEqkPgOz5iE19I3ZI5SfsBmkLdoMM/YyP/43vpeRdO5256aBGBkW5ucsimJ252SFOl8iaJhnwMV5j91FnCDX5pUXWwsCwxkzNNmhYlgVJ8ABZfCEW/y9siUtJOu1bXVokUuQe+hmf8LsLTbLB0JFx4Ar1z6AJQDVIIKARMh8Cmw9D5UyjwufK3WmD2EBh8WhXuZm+EpZ3B5RM/Z4mHHougvlDdMW8r9XgYWpLDGj+5i+viEnjRnorFhJq3wXX/HieZ+3WD/V/WMk+TQq9o3TmTv9PN8N81h/mVeYzDRUWxFfHbqS9jaMIF1a4hJJJHEYDV4hhqh7Vr19K1a1ecTic2m41x48Zx3XXX0ahRI63Yx7vvvsuECRO0fy+lpd49vfTSS5kxQ47uDHW+mvQL6Wz4TaAIwJogfvyMjfzbm7mxEgH+5RVy5wDDqnFX5MKJOO01oLPclDyBkQSg+Mki0n7FnoqKxsHUa0XEX/m3nij0cWcVaxbEqCBIRfvYJ204lF0VBF9VTVQnXic67Nmzh6ZNq+seypSqj0JAIRAMAZECvJIX+VX7eKhodTiVQTyOHSH7Wbm5cTOBBfykFQuvaJGqkBfIByebyKZPWe2k8h4pZLKM+CqDmMM/DxNKC3jKKRdOP8cSx5LEDNIjkHISvofVjDiyDpZ1B7dPYRNrIvRaqbsoiCABb14Kb22V566XCCtHVRMtY/gClUGFgEJAIaAfgYNF0HEG7JIl8Hi6C/yjqjCA0iPequsF4qe2T2vzIjT7u36HojBSFLy6szSfd/0KXnW2xjM7IQO7Cck/AUshUylELsRQU92/tfzGM36FRBqTzmSGGa77V0S2VvFXFGXzbR24nnMZEtLOh0TyKAIwJCxD7SRIPlHlV6QCB2rx8fE888wz3HPPPdrjG264gbfffjtU84b1C+ls+M2mCEDD4I9pQyc6ASjihw+U7eD/fIpnBNtU8QYs4h1EQZBWBuy8kQTgo2Vpv8KtW4Fgtcs7lFUiFv2mAkLbMFgTQibl15yzgeFhrDmQ9mDA4YoADANV1VUhUAMEXDhYwBMcQGZyGtO6TIQ6PqD1QxQwmpkU+NxgJxLPVIZzMkJ6NPKtmPfJ53ZpojjO0UhAixbYbExzezxcU5rHbFfFbb2wPNBq438J6cSZ9EVJWv2u/8J6Ubzdp9nreUnA9KpUH4JjKCoCX7EAPpPrwtA0BbIugdPSjMFfWVEIKAQUApFCoNQF/WfBir3yDDe0gLd6V1G7Q0TNZQ2GA4vkgaffCBe+YfqiH/9xFPGgQygdVbRTLFaWJ2ZS36QXW6WsIFd77ajQL7bSWCsEZtUSt8JvB8jXtI19f8vYiONJhnAaJ4VvsIoRLpx8xeMc9JNPb04fRCG2UDMoQiJ5FAFo6N4JYxs2bODJJ5/kq6++Ii/Pe1tgtVrp27ev9vciOrBtW5EoB/fddx/PPvus4T5UZzCks+FnRBGA1aF6Yjw/0QlAoYMn9PBEE8n7fmUUKx2Ccu08kYsmUmxr2owkAIWe39llITIiui4niHNC77Bc1n0iMK6KRYjqx+UlOBcD/cJYsCIAwwBLdVUIRAuBEvKZy6PkIr8BteJi2h2rDVTZm0DV8ppRj8cZTDzioyLyLY87KeEdaSI7l5HGWyH/mA7Fy3yPh37F2WwWlR592r3xSUy0BxfrDsV21Pp8fyfsEEHePi2pCfTKghR9FTxKXDB0Diz2yzBungFZo6BB4CDSqC1ZTaQQUAgoBIIhICKZb1sOr22Re3RuCEsvBqFtGrT98E/Y/oz8+KSLoOdyiDOuIFUkdm+xq5RLSnJ9aDS0eP+FiZm0tga+9IuEH+HYdHOAo3TBI2UexJHBXGx0CcfUsb5OXIxnPr9wSBp/C53pp70+GdvW8z6b/fSLG9CCATxKHKHjHhLJo4qAGLt5PtZEKvD+/fspLi6mcePGJCd7f+iIKMHrr79e+/9vvPEGN90kZPij20I6G34uKQIwuntk1tlOdALweIkAFNWLV5cdsuoiGaMVAVhdTq9KATbrp4Ly67hHII8/mctYisn1WauFATxCoyqCm19hFUv5RcJnFK24knZRwcxDMdn0w6VJtla0FJ4m6VjBcmNc+c3t0sTSD/sUQBGWX7OnclV8VeUhjZm/xlbcpZA1BA6IuxufltrMGwmYKD6Cw2/5Dug3E76RM8JpUw+WjYQMc78Lh79gNUIhoBA4LhB4cRPctVJeiohgXnc5nFzV5cXuD2Ctn4aq+Pzs+y0kVV3AobaB2+520ac4m2y/77H37WmMjDfnh7VX928UDpZK8CVTM92/d1nHHGT2N1J6xn+wgUVM9vudUp9hTCIxzKwJPSRPbZ+7E2H+W2+9lddf9ybbbdy4kVatjEgMDA85PWdDEYDhYXy89j7RCcDjRQNQ1B4vz40bCsyt4sBGSwOwun8zqghIdQip5wqBCCIg0lLm8xjuY0G+kEQmI3gq6A/UYhw8xGz2+RCH4ktkHAM5F32EUrhLdPEr2XTHIwU528hgPjY6hmuuyv5ZLgfDS3Kk0vDilWleQgYd4myGzhURY448WNkfjviV8c1oDT2Xgb2qUpfBPTpcDD2/gM3lZbHKunZv5K0OnBwD0EQEb2VUIaAQMCUCImp54Cxw+eSmJMV7I5fbVVVM9Oi3sLQbuIsr1mWxQa/lULezKdda7lS2x02f4hy2+0WyP2JL5iGbecO1I6H79y17mMYSab8akc4khpKM3dB9FLp/MxlNsc9vFCvxDOVJTiL86Hs9JI+hC1LGKiFQUlJCkyZNOHz4MC1atOCnn+SCMtGCTM/ZUARgtHbH3POc6ASg2J1YrwIsvrn2gSZeIWIymvik7QY6faoKsLn/TSrvFAJRQ2Azs1mvqR9UtCa0pS+jsQRJ693BIR5lLi6fiIK6JDONEaQSnYiCEuaQx5WS31aakslK3dpAwUB/21nM3aWi/lNFa4hF005qEguVgYVw/bKekCuka33aSZ2hxwKI16efuLcAun0Ov/oGkQJDToUvBoOtqnS6qJ1wNZFCQCFwoiOwPRsu+hSO+tRFEpj8bwD8X1ViPlpV9fZQtEeG8MLX4YybTQ2ry+Ph8pJcFrrlIgYXx9l5x56G1aRatqWsJFerx+iv+5eFlaqY2uDbcYh8RlfS/bPyBEM53WDdP1FsTUT+7WWj5FBHbqAlg3WdGT0kj66J1KCQEZg8eTIPP/yw1v+FF17grrvuCnmskR31nA1FABq5A7FrSxGAXj08oYsn1HEzQQr28N1ZcdX3ddlfTADGG7DtRmgAn6EmGAAAIABJREFUXgJ8WuaLUCD9Rwh+lWsZCt3AqhThrwI+LLN3I2BkiSMVARjCRqkuCoFIIiB+rC5mKiJdxbe15zrOQwQTB25f8iMf8q308CJO4z56GqrFV9XaCxhHEc9JXWz0I50ZWDCWfXqgNJ9XnD4RIEBbazzzEzJINumLlARM0T5vZeACIV/r0xr0g66zdWtY7cjxkoD7y0tFlZm+qjm83w+s6hdGJP/5KtsKAYVANQjklECnT2Frttzx0fYwoaqAcUGcregHh8ols8vGn3UHtPXTVjXhLjxcWsC//arZt7bEsSAxkxSTfmdFRvfPzWPMZ7sW61HRbuIiBlT5+qNvU39kFt/yvjS4Ke3oo12q6vtC1EPy6PNejSpHYPfu3Zx66qkBAfnyyy+5/PLLtQrBF1xwAevXr0dUBa6NpudsKAKwNnbKfHPq+zQy3zpq4tEkYEyZAaGl55crdcy0qJZbLugwEFhQk0nLxhpBAH4BjCyz1wb8xLECOylIPUHuidYI2B9kLa/AMWGtc8CvlFXNAFAEYM3wU6MVAoYgUEQOM3nAL10ljiE8QV3ODDiHGw9PsoAf/T46/kYX+tDcEL+qM+LBSS4jcCCLOiXzMMnHPtKrsxLac6fHo4moL/WLprg0zs7b9jQsJn2hklZXsAuWdYOiP+RFNx4FnT4BnWLwmw5Djy8g2y+65o7z4cXupi+OGdoBUL0UAgqBmEPA5Ybhc2Feeam/shWMOgNmDKrmgiJQEaV63aHHIrAamzJqNLAfOIu5zS9qvX5Z1PopJo1aD6779xjJIcU1BEbxfdYzi83Sw06cxr0RuKw8xC/MZRxiLeUtiTqMYFrYun++DusheYw+UyeavfT0dLp06aIRfeeeey52u51ff/2V6dOn88knn2hwNGjQgOXLl2spwLXV9JwNRQDW1m6Za15FAKKJRpWTfq8CtwXYIlHiUuRPtQTEPWIDQI6r17evNSUA65al/wrFJaGKLwjAUNr/ieyHso6C/JwSYJAQCBG1HoVIlFDNPS8Uw2H0UQRgGGCprgqBSCIg0lUW8qQ0RTqNGMZkbCQFnPoIBTzALPKpYH4SiGcKw2hMRiTdPWbbzZ8cpatfpUAL6XyGPayi5dW7e0TTU8pmh6i259MetSUz2sR6SpKzuT95IwFLD8sLPu16aP8WWPRVc16931sYpNApmx17IUy8qHpsVQ+FgEJAIWA0Ag98DU/Lwe20rgurLoHUqnRKf30TvvVL8U1qCn3XQ2JDo9001N43LgdDSnIo9bEqljonIYPOJtatLWQahUyUsLDRvyyiX9/30nf8zlTkIlgNSWUKww3X/XNQxCweRBRYq2iisNpYGnF+jfZYD8lTownVYFJTUykoEImBgVubNm348MMPadlS0AK11/ScDUUA1t5+mWlmRQB6d6M8DVi8vvTwqahbvlcPANPK/vA4IIg739YLjpWrege4IcRNrikBeCfw77K5ROqvSAEOpYnfA0Kx9CzQ1PxFCU+/3DBEjsMdZcb+Cvw3FMNh9FEEYBhgqa4KgUgj8C0f8iNfStOcRQ+68fegU69jN0/7Veo7k7pMZDDxBqfhBnPCQRY5mmZQxa27hZPIJIs4TjEUtp/dTk1UPdevouIH9jRGmLSiYiUAhKj98t7gzJMfNbsLLviX7pC9Bbth2FxwyPwoz3SB+0O9mjJ0t5QxhYBC4ERF4N2tcL1c84H6SbDuMjgtrQpUDq+B5T1BVFEvb9ZE6J0FdS40NZy/l1WuP+D3/fQfeyp/MXHl+sC6f43IZJVu3b/DFPAgs8jzuaCMx8pEhiB+oxjdVvIiO/2yEVoxinZ+WsV65tVD8uiZR42pQODjjz/mq6++Yu3atezfv5/8/Hwt4k+k/F5xxRVcffXVxMUZKzWjB389Z0MRgHqQPv7GKALQu6dtgVWIIpgg1N5FWrCoPy/+LJTmby3b+m1Ae8DvzYlQCUB/YvBin/TdqcBWnyP2C5BVzZFbC3Qoe/MVxT98r56qO61DgFmgKf2LcU8Awp6I+LsFuLTMgPBBrK/i7bo6y6E9VwRgaDipXgqBqCDgxsk8xiPSWHxbN+7kLE0mNXB7ndUs8lMHGMH5XEP0XpYKeZ5CHpUcjKc9GXyFxeAKfwtcpZq4ui/PlQIsSszkfJ1ptFHZYN9JDi6HlYPkypbiectxcJ6449LXZuyAKxaA26fSprD0Vm/4a+1elOtbkBqlEFAIxBwCa/Z7q5SX+nxI26ywZCR0E6I3wVrRXm/Rj2JRV8+ndXgXTvuLqXEo9HgYWJzNBr+Kv3+PT2SKXV+hp2gs2M1BsumCW5ITsZLBXGx01eWCCzcT+IqtHJDG30BHBmuJXMa2HawgS4uZqGj1OZtBjEdU/61p00Py1HRONT42ENBzNhQBGBt7G2kvFQFYgfBw0JRb04OALsg/oYovvx17O4dKAPq9FlW5vdVFEgpNvnLCcG6Zb+GeF0H0vQhB35AFISjWfChcwyH0VwRgCCCpLgqBaCIg0ldEGotIZylv8SQynKmkc3JAV0pw8hCz2UuO9HwsA2ilSYxGvnnwkMfVlDJbmiyR20jlKcMdeMFRyCMOufLFqRYryxIzqa8zjdZwJ6szuG8OfH0xePzydls/C2ffV93ooM/f2AK3LJMfi2IgMwbCqMCSkrrnUgMVAgoBhYAvAr/nQ/vp8GfFV5j2+I1ecNO5VWDlKoHlveDIGrlT8/vgglCTa2pnLzweD38tzeNTl2/iL/Sz2piekE68STVqRRGyXEbhQA7VTGY8yfxTN5gf8R1fsEka35FTuZ9eugtxBHMml/3abyYnFUXChGyK0P1L1dSiat70kDw1n1VZiAUE9JwNRQDGws5G3kdFAMoYnwbcU0Z6CYJKfJsKwm96GVHmV+vw2ODaIACFYJe3Brk3SrFc0y/cUyPEKe4G+gKNy6ohi/TgD8RvpiqqIoc7j39/RQDWFEE1XiEQAQR+ZRUreEGyLIqBDGYicUFus3dxhEeYg9MnLq4OSUxjBOkkRsDLyibdZJNNT9zslB6m8TYJXGaoD+KF6/bSfD4QL40+rYs1nlkJGdhN+sJVCYQ9H8M3V4NfyhgXvglniMLv+tpT38Po1fJYuxXmDoO+4pNfNYWAQkAhYDAChQ7o/gV8Jxd85Z7W8Hy3KibzeODbW2DXm3KnBn2h23zdBZIMXl5Qc9MchUz0u5BqZoljaWIGmSa+kCrkKQqZIK3LRj/S+RSLlpwUftvAH0xmkTSwPqlMZTgpBmcDuLSsiUc57Pebowf3cAZdwnc+yAg9JI9hkytDpkZAz9lQBKCptzRqzikCMGpQq4n8EFAEoDoSCgGTIrCKV/jFT9vvPIbTnmuDejyHzbzLeul5e07hn/Q2/NY9mBNONpKt3WVU3MZDCpksIx5jK7WVeDwMLcnhG7ccQXd9XAL/tqfGRmVgAeTO1+C7v/lBaoVO/4Om+onTMathyvey2ZR4WDwSLjK3jr5J/1UqtxQCCoFgCAgO76qF8D+/HJ3+Tb0XD/FV8Uk7/gPf+2ndJp/uLfqRYLxenJG7ONNZwjWlsipRBhaWJGZwtoklKbzavSLBqCJP20rNdP+OUKjp/uX6fP/HYWUCg2hGfSNh12yt5302a0pKFa05vekSsJak/un1kDz6Z1MjYwkBPWdDEYCxtMOR81URgJHDVlmuGgFFAKoTohAwKQIOipnNGHLZK3nYjzE0CVJs3I1Hu3nf6DfmZjrRH6FYEJ1WzLvk+xUuieMcjQS0YKwW0gGPm57F2fzuVxl4mi2F222BqydHB4UwZ/n5Kdg0Wh5ksUHXWXDywDCNebuLF/LblsNrooa8T6uTACsuhvPN/V6ta81qkEJAIVA7CDyxHh4VojU+7exMWHMJ1KkqCP3gCljRV5ZCiEuG3qshs3XtLCbEWX90O+lXnI1vrVLBc36akE6/OHuIVqLfLVK6f0+wgC1+UujX0Z6hnGf4Iv9gA4uYLNlNpzHDmIzN4KwHPSSP4QtWBk2JgJ6zoQhAU25l1J1SBGDUIVcTliGgCEB1FBQCJkbgCLuYwyOI4iDlLZEMTdsmicyAnmdTxAPMlG7g7cQxmWE0DTImEhDkcQclvCeZTuByUnnT8GjEH9xOBhRn46sPIV7CPk9Ip4+JX8Iq4b7pYfhZfqEhLgm6L4B6VeXPBd9BlxuuXgif+NWYb5QMqy6BM4Ip7kbiUCibCgGFwHGJwOc74ZL58tIy7PDNpXCOKGsXrBXugcUXQolfznCnT6Dp5abG6qDHTa/ibHb7XT5NtqVwp4kvn4Lr/o0jmQd0Y/4J3/MpG6XxkcpAKCKbmYym2Ef3WBT7GMqTnMTputcQbKAeksdwJ5RBUyKg52woAtCUWxl1pxQBGHXI1YRlCCgCUB0FhYDJEfiJeazlv5KXjWhNf8YE1ej5lj1M8xP1Po06PMlQbMRFZcUexE/0frj8XghSeJYkrci5se0LZwl/8UvDytTSsDJpbo3Ommu8IhGyJ9Lgdr4sm7JlQM9lkNlG1xSlLhg5D+bvloefmQ5Zo6CRKKGsmkJAIaAQ0IHAxkPQ5TMo8FFiEEWH5gyFQadWYdBVBEu7QfZ3cqdzxkCrSTo8id6QUo+HESU5rPKTn7gmLoGXTS4/EVj3ry/pfKZb909kHUxioaRkW48UTfcvlQRDN0YQmIuYwl5+kOx25AZaMtjQucqN6SF5IuKIMmo6BPScDUUAmm4ba8UhRQDWCuxqUkARgOoYKARMjoCorruEp/idbyVPL+RqzmdkUO/f4hu+Olak3NttKOdyHR2itmIXO8mmBx6pOrGNDBZgo73hfkwqLWCyUy492dwSp2kxmVmIXQJCRJOs/Qvs+VDGJ6E+9MqCtLN14VbggAGz4Ov98vBWJ8Hyi6tJ0dM1oxqkEFAIHO8IHCiEjp/Cb7IEHs90gfuruq8Qlx3rroPd78sQnTzYK3tgMe+ljShAdY+jgLedvjq3cJE1njkJGSSYuABVJHT/jpbp/uVIun8WHmMwZ0dA909o/gntP9/WlHb0YbTh2QWKADzeP8Fqvj5FANYcwxPVgiIAT9Sdr/11KwKw9vdAeaAQqBaBYnK1dJcijh7rayGOwUygPs0Cji/FycPMYQ/Z0vMx9KMNTaqd06gOJcwmj6skc1ZOIZOVWDFWhM7t8XBdaR5fukTx+IrW32pjekI6cSZ+MZMcdjtg9aWwTxY3J+kU6J0FyVWF1QTfuaPF0OtL2HhY7tO5ISwcASk2o3Zd2VEIKASOdwREZHG/mbByn7zSG1rAW72hyo/bbc/BxvvlganNoc9asAeWtzALnq86ivinw1f1D5pYrKxIzKSBiSv+ujnAUbrgkTT6rGQwBxv6JCbcuHmChWxGvlm6lgsZzvmGb9khdmhVf924jtlOoo4mi5JI5PQs9JA8hi9eGTQlAnrOhooANOVWRt0pRQBGHXI1YRkCigBUR0EhECMI7GczXzFRlHY45nEqDRnOFOwkB1zFbo7yMLNx+FT5yyCRpxhBBtErkFHAWIr4l+Sjjf6kM0N3ylGwbSvweDQ9wI2eihcE0ffO+EQm240tQBLRo+MqhqwhcHCp30vy2dBrBSTqK+O7vxC6fw6/5MhmB5wCM4dAgnkDbyIKtzKuEFAIhI6ACOC7dRm88ZM8psvJsGRkNZ8jfy6ClaKwUUX1WeLToM83kN4ydCdqoecyVykXl+T60E9o36QLEzO5wMQVfz24yGUkDpZLqCVTM92/6Wxghl8qbjua8gB9sGLs662DImbxEHkS2WhhAGNpFAGy0RcoPSRPLRxPNWUtIKDnbCgCsBY2yoRTGvsJacIFKpdMi4AiAE27NcoxhUBlBL7nf2zkM+nBGXSlO3cFTX2Zx0/8F7k0Y1ua8CB9I5Yu4++5Byc5DMPJKkNfPoKdkT1ul1YZ+KCkSAQv2VO5Lr6qcpQmO3WOPG91zKPrZMcyLvBqAuqMlNmVC10/h71yEAuXnwUf9Yc4UUFFNYWAQkAhEASBf2+Eu7Pkh6ekwrrLoGHg+yhv5/ydsKQDlB6RB3f5AhoHl7Qww0bscLvoXZzNUb/vlXftaYyKN1bnzuj1FvAkRUyRzNroRzqf6r6E+5F9iKq/FVeSUJdkTfcvzeAqvMLxLF5iByukNbRiFO240mi4KtnTQ/JE3Ck1gSkQ0HM2FAFoiq2rdScUAVjrW3DCOqAIwBN269XCYxEBkfYyn8c4yDbJ/a7cTjN6BVyS0BCcymK+5w/p+V/pyCCiF23hZj9H6YqHAz5+iPSjedjoYvh2rHY5GFqSg8PHsshwFRpNneNiKNe15DAs7wm5m2WM6nbxVgeO11fBY8sRbyTgkRLZ7C3nwqs9q0nfM3y3lEGFgEIgVhBYtAcGzQaXD/OTHO8tKNS2fhWrcBbA0s6Qs0nudO7jcO44Uy8/x+Omb3EOP/tFlj8Un8Qjdn2fwdFacCmLyWWUlD1gpQmZZGGlni43siniQWYh/re8iYi/8QyiBQ102axq0A5WksWLUpf6NGcQjyGq/0a66SF5Iu2Tsm8OBPScDUUAmmPvatsLRQDW9g6cuPMrAvDE3Xu18hhFIJ+DzOJBSqkI34ongWFMIYPGAVeVQxEPMBNfkW4bViYxjFOpEzUkAguQixeRVYbrAYpFvecs5o7SfL+XBgvLEzM5JVYqAwvvi/bCsu5QsFPeq4YDoMtMiNMXfbL2T+g7E/J9WVLgwbYwpXPUjoWaSCGgEIgRBLZne4t+ZPtdHEwfCJedVcUiRM7wN1fA79PlTo0vhs6fgom181weD1eU5PKV0Gb1acPj7LxvT8NqYm1ZF3+QrV28+Qq/xpddvHXSderceJjMQjYiiz9eRTsuppUum1UNymW/9pvH6VNkxEYSw5lGWgTIxkC+6CF5DAdCGTQlAnrOhiIATbmVUXdKEYBRh1xNWIaAIgDVUVAIxCACv/ENy3hW8vwkTmcITxBH4Oi2DfzBZBZJY0QpjkkMxR6FG/TyiQuZSiFPSH7YGUwa/4tISvJDpfm85FetsZUlTtNsSjHxi1ulYylS55Z1g2I/xf0ml8JFH4NO/aklv8Pg2VDqI8cl5p7SCR5sF4P/OJTLCgGFQEQQyCmBTp/CVrmuFOPbw2Mdq5ly62T48WG5U/q50HsN2NIi4q9RRh8tLeB5v+ry55d9h6Sa+DvEg4MchuBkjQRFCpNI4i7d8HzGRv7H99J4UVhMyIoYrfvnwqkV/TiMfPnVg3s4IwKZA8FA0UPy6AZYDYwpBPScDUUAxtQWR8xZRQBGDFpluBoEFAGojohCIEYRWM3rbPMj9FoymI7cEHRF77CWuciq7QNpwY1cFDUUgomRpzCFJP5uuB9Oj4fLS3JZ5Be9MTLOjtBuMnP0RiUwcjbD8h6V9bNO/ytc+IbuKJovdsKlX4HbV8wJeK0XiJRg1RQCCoETGwGXG4bNhfm7ZRwuPRM+GQjWqt5k9s2FVcOkFFRsmdB3HaQGrmJvFrQ/dhZzi18UeT28UeSnmjyKPFDxLTtDSeMj3ZdtW9jPBE33r+LLog5JTGME6RHQ/VvP+2xmlnQcmtGbrtwW1SOih+SJqoNqslpDQM/ZUARgrW2XqSZWBKCptuOEckYRgCfUdqvFHk8IOClhDg+Tze/SsvowmlO4MOBSHbh4hDn8xlHpubi5F5X7otW8eoCd8XDIZ0obGSzChvFhZ9keN32Kc9jup980Jj6Jh02u31RpT46sgxV9wCmnNtPsXrjgWd3iff/dCn9dIs8mfpx8PAD+z9zv6NE6tmoehcAJi8A/V8EzP8jLb1PPq/uXUpWkat42WNIRHL5lxy3QbS6cPMjUeK5zORhckoNvtrNY6qyEDLqaXEdW/DrI8yuOYeV0MlmBVafsRy7FjGYmR310/yxYGMcAzuVkw/fyD35gEZMku+k0ZhiTsUWAbKxqAXpIHsMBUQZNiYCes6EIQFNuZdSdUgRg1CFXE5YhoAhAdRQUAjGMwFF2aySgy6fURQJpmjZOCicFXNnvZDOG2ZTiOvY8jQSeZiSZJEUNjVIWlQmTV0xp5UwyWYmVdMP92O520ac4m+wYrOBYCYwDyyBrELj9hLhqKKb//A9wn1yoGZsVZg2BgacaviXKoEJAIRADCLyzFW7wuxxokOSt+HtqVdm7jlxYchHkbZVXef4UaPGgqVe+V1SSL8lhv0fWRvi3PZUbTF5J3sUusumOB99cbTuZLCKetrpwF7p/opiYkBLxbf9HGy7lAl02qxpURDYzGU0xFcSxKPYxlCcRcifRbnpInmj7qOarHQT0nA1FANbOXpltVkUAmm1HThx/FAF44uy1WulxisDPLGQNb0irO5nz6M9YrFgDrnohP/OGny5Qaxozhn6Ga/hUBXsB4yjiOamLnctI4y3dKUpVzbfEVcolJbk+1Cca5Sn0AC/QqaFXa8dq72xYPQo8TtmFC56H5vfodmvcWpi4Xh4uKnwuHA5dGuk2qwYqBBQCMYjA1/ug95eyRqi4FFg6ErpW9XkgiLOvR8G+mfKqm14BF32kO1I5GhAWeTwMKsnhO7f82Xp7fCLT7KnRcEH3HB5KyGEATr6TbKTwHEncrNvul2ziQz+brWlU9psh8O8MvZN5cLOYqfzBBsmEkDcRMie10fSQPLXhp5oz+gjoORuKAIz+PplxRkUAmnFXTgyfFAF4YuyzWuVxjIDQ4lnGM+xmnbTKtlxBay4JuHIx5mmWsp490vPraM9QzosaWl6R8kE4WSvNmcq/SaxCy7AmDr7sKGK0o6KCsrDV1GLVNJ0amLgSZcA17/4Q1l4ra2uJju3fhtODa0FWhZ8o1nnXSnjpR7lXhh2WXwwX1KsJ+mqsQkAhECsI7MmDDjPgzyLZ4zd7w40tq1nF5vHw0wS/D5ELoPcqiE8xLQQej4ebSvOZ7pKjq3tbbXyWkE68iYt+CFDz+SfFvCrhW9NLta0c4HHmI6IAy5vIFpjK8IhkDWxmNut5T1pDU9oh5E1EynFtND0kT234qeaMPgJ6zoYiAKO/T2acsXY+zcyIhPIp2ggoAjDaiKv5FAIRQKCEfGYxmgIOH7NuwcogHqMB5wScMZCeTzxWnmQopwdJH46A67jYTTZd/dKVEslkOfEYX4FCvODdVZrPO34veB2t8cxNyCDB5C94lfZgx8vw/R1+f22FztOhSWACuLp9FMVA/rIIPtwu92yYBFmXQLOM6iyo5woBhUAsI1DogG6fw/e+Mq3Ava3huW7VrOyPz2G132ePvS70XQ8p0U/fDGcfnnYU8rijUBpylsXKksRMTjL5BVEJn5Lnd3EWRzMyNN0/fZWW8yjmQWZxmApMBAk3lv6cj/Eh4aLa71zG4vaJ00+iDiOYRmIEpEFCPRt6SJ5Qbat+sY2AnrOhCMDY3nOjvFcEoFFIKjvhIqAIwHARU/0VAiZF4E+28hWPSdX5Uqin/XC2EzjiYhP7eFKr6FfRGpPBFIaRQHzUVlrCl+QhItkqWhwtNBLQQrLhfpR6PAwvyeFrvxSva+ISeNmeiiXWSMCtU+DHMTJOVjt0nQ0N++vCz+GCUfNhzm/y8NPTvML/TcydCadrzWqQQkAhACIK+MoF8MkOGY2Bp8DsoRBfVcanqFS+tJNcpMgSB90XQIM+poZ3jrOEq0rzpO/DdCwsTsyghcklIlxsJ5seePAtDpVEJkuJ1xnVLyL+nmIJ3/kVGruMC7icNobvpYMiZvEQeez3sW1hAI/QiFaGzxeOQT0kTzj2Vd/YRUDP2VAEYOzut5GeKwLQSDSVrXAQUARgOGipvgoBkyPwAzPYwHTJy9O4iJ7cFzR15n3WM4vN0ph+nM0tdI7qagOlLiVwHWm8FBE/Dnrc9CrOZrefyPskWwp32aJXDMWwxW16CH6eKpuLS4Yei6Cuvr0scsKg2bBir2z23DqwYhTUTTTMe2VIIaAQMAkCQgNUaIH6trMz4ZtLITOhCidLj3or/ub/IneqoS5pNGDZ4nbStziHfB/6T7ycTU9IZ2CcPRou6J7DgyiZ0RuX3/d4Ki+T6HexFs4ks/iR9/lWGnI+J/MI/YPqC4dj379vFi+xgxXSX7fiYtpxVU3MGjJWD8ljyMQnsJEDBw6wdu1a7b9169Zp/x0+7M1yuf766/nvf/8bFjrz5s3jtdde0+wcPHiQ+vXr06FDB2699VYGD9avLannbCgCMKytO247KwLwuN1a0y9MEYCm3yLloEIgdATcuFnARP5kizSoM7dwNv0CGnLiYixz+ZUj0vN/0psORK/0q4disumLi42SH6IgSAKXhw5CGD1/dDvpV5yNryKgCG4RL30DTP7SV2mZImzn+9thp6z/hC0Tei6DTH2VGnNKvEUA/FMBOzaARSMgzdzvxmGcBtVVIXBiIyA+Ql7eDH+XORiE/qcg/86pUwU+HhdkDYU/v5I7nXa9V5PUxFHVhzxuehdns8vvMugJWzL32IyPQDf6lOXxd0p4VzKbwLWk8bLuqbZxkMeYh8uHEM0gkWmMiIju3w5WksWLkr/1aMZgHkdU/63tpofkqW2fY33+qjIxwiEA3W63RvK9+eabQSG5+eabefXVV7Fawy9oo+dsKAIw1k+nMf4rAtAYHJWV8BFQBGD4mKkRCgFTIyB0AIUeoNAFLG9x2BjKZOpwSkDf95LDQ8ymhIqqh6kk8BTDOSlI+nAkQBBpTEfpDj6UnIVUMskijrMiMSUznSVcU5on2Y6VtK/KJKAL1v4F9nwkP0poAL2yIK25LgwPFEL3L2Bbtjy8TxOYMxQSa//9TNe61CCFgELAi0CJC+5cAW/8JCNitcC8oTCgurugQBHIdTpArxUQZ95QYYfHw8iSXFa6HdLCr4pL4NUYkIMo5gPyuU3yPY5ztdRfvfIZ+ZRoun+HpO9heJj+tKax4f9kctnPLB7ESfEx2zaSGM400mhg+Hx6DOohefTMo8ZUIOBLAJ5yyim0bNnuKu96AAAgAElEQVSSBQsWaB3CIQDHjBnDlClTtHFt27Zl9OjRnHXWWezYsYNp06bx/fffa89Ev0mTJoW9BXrOhiIAw4b5uBygCMDjcltjYlGKAIyJbVJOKgTCQ0BUBF7K09KgTE5hKJOIJ3DI1hK28ypfS2O86T4DsEax8l4xH5PPLX4vNG3IZBEWqso/Cw8j397THIVMjFHh90qrFi+yX4+C/XPkR8mneknA5MAkcHXo7c7zFgXY4ysxBVx8BkwfWI0uWHXG1XOFgEKg1hDYWwCXzoc1f1Z24bmucG91wcN7PoZv/NI0Exp6i34ki5+Z5mxOj4ebS/P41FUqOdihrCBUoomjFoXDTraQTS+gokyzuDDL0Apona0LdA8enmYp69kjjb+E1lxBW102qxrkwsk8xnEYWXCyO3dzJl0Nn0+vQT0kj9651DgvAuPHj9dSdMV/DRs2ZNeuXZxxxhnas1AJwG3btnHeeefhdDpp3749K1asICmpQuKlsLCQnj17sn79euLj49myZQvNm4d3UarnbCgCUJ1ygYAiANU5qC0EFAFYW8ireRUCEUbgG97SyoL4tnMYQCduCjiz+OH/HMv5Brnqw9VcyEjOj7C3svk8bqOED6S/TOR2UpkWET9EZeC/BngR7G218VlCOvEmfxGsBIqrCFYOgkN+uXxp50DPFZCoL6ri56NeEvBQRaCGNvUNLeDN3iCihVRTCCgEYgeB1fvhkvmwXy58qy1g7IUwoWM12bvZG2BpFxCfOeXNYoOeS6GeeQgc/x1xeTzcXprPR37V4BtbrCxPzORkk1f8FcU+RNEPETXv29L4LwlcqvsAzmEL77JOGt+ShjzKAOIIPz2yOke+5QN+ZKbUrRm96Mrt1Q2N6nM9JE9UHTwBJtNDAN5xxx28/LI3FX716tV06tSpElJr1qyhc2evTrLo/9JL4elO6zkbigA8AQ5sCEtUP5lDAEl1iQgCigCMCKzKqEKg9hFwUcocHuEouyVnevEPTqNjQAdF6s9oZnKYirfBOCxMZAhnUS9qi/JQUPZys83v5eYjEhgWET8KPR4GleTwvV9l4NviE3nKHoMlbx25sKIPHJVF3MlsAz2Wgj1TF47fHYReX0CenDHHfRfAM11MLfWla71qkELgeEXgjS1wxwpwuOUVJsfD233g/5pVs/KSQ7C4PRT6lQpv9wqc+TfTwub2eLi7NJ93/Mg/ofY3LyGDdnE20/ouHBOXdfncTAmfSH4mcgupPKvb9184xDhN96/iQKSRwLQISYH8wQ8sQk65TKcxw5iMDXOljesheXRvhBoYEIFwCUBxsdu0aVP27t1LixYt+OknP30Dn1nE859//pkmTZqwZ88eqtIf9HdOz9lQBKA65AIBRQCqc1BbCCgCsLaQV/MqBKKAQDa/M4eHcVJybDY7KZq2TmoQQm8L+5nAVz7S39CIdKYwjESi92Lk5EetsiE+ukAW6pDJKuKCaBnWFNI/3C56Fmfzp7R6eMGeyl/jzfVCEtJaxQv6sh6Q5/fDt2436P4VxOsTuF/+h7c6cLFL9uKJjvBI+5A8U50UAgqBWkKg1AX3ZMErcvF3zZsz0uGLQdC6uvseITWwciAcXCqv4oxb4UK/QkS1tM5A0wpS4B+OAl53ymHM4tN9RkI6PWOg+FMRb1LAvdLy4mlLBgt1y2QUUKrp/h300Q4WE4yhH21oYvgOFpHDTB6gmJxjtkWxjyE8QV28aZ5manpIHjP5fzz4Ei4BuHPnTk3rT7S//e1vvPLKK0FhEM9FhWDRxLjyVONQcNNzNhQBGAqyx38fRQAe/3ts1hUqAtCsO6P8UggYhMB2lvA18gtZA1owkHFYiQs4y8d8x+dskp71pjm30cUgr0IzU8RbFHCP34tOJzKYhyVClQHXuhwMKcnxoUzRZpqVkEE3k0eGBES16A9Y2g0Kd8mPGw6Crl+CVV8Z39m74OJ54PLIZl/qAXdEN2M8tMOkeikEFAJaqu9l82HV/spg9G8KHw2AuqHcdWy4F375l2ykblfouUT3Z0qkt0eQf2McBbzkR/6JT8CPE9LpHwPkn5MNZNMXqNAttJBBJiuJ00mciYjCZ1nGWr9sASH9ISRAjG4e3CxmKn+wQTLdges5lyFGT2eIPT0kjyETKyPHEAiXAJw9ezbDhw/Xxj/33HPce69MmvtCK57ff//92l/NmTOHIUNCP4d6zoYiANXBFggoAlCdg9pCQBGAtYW8mlchECUExI/7FfyLXayWZryAy2jD5QG9cOJmPPMQKUG+7T560onTo+S5N9Upj+sp5XNpziT+SQrjI+bHR85ibi2Vq13UxaJpQ51mDUyaRswZIwzn74Bl3aDY762/6eVw0Udg0bemD7bBtYtkB8UPmvf7wdX6NOiNWK2yoRBQCARAYO2fXr2/PwoqP/xnG5jcKcRiPrvegfU3yEYSG0O/byHxZFNiL8i/xxyFPOv00SrEe7nzgT2NIfGRKTBlJBhusjVpDDe/SmbTqJk0xnx+4m3WSjbPoQHjGRgR3b/NzGE970rzNaUdfRiNxaSvxCGRPG435B82csvNbSu1LliN14UMtuhwCUAR8Xf77V4tyenTp3PZZZcFxXPGjBlcfrn397AYJyICQ20hnQ0/Y4oADBXd47ufIgCP7/018+oUAWjm3VG+KQQMQqCUQmYxmnwOHrMofmgPYBwnc27AWfaTq6UEFeM89jwFO9MYQT1SDPKsejNucsimG258I9gspPMFdvpUb0Bnj7GlBfzL72XxPEscCxMzSDO5QHzAJef86E0HdhyVH59+E1z4um7xvhc3wV0rZZPxVm8a4dDoccU6d1kNUwicGAi8/RPcvgJK/NL2k+LhjV5hEPZH1no/R9wVshJYE6DXCjgpsLasGRCeVFrAZL/Pc3Ht8Y49jZExQP55L8OuoZRZEpxJ3EWKn45eOHjv5DCPMhdx6VfehO7fVIZTNwLf84fZyVzG4qbiICaRyQieIpH0cFyPat+QSJ7cg3CzvgJbUV2MUZO9cQDS6xtlrVo74RKATz31FKNHj9bszps3j0GDBgWdQzwvj/p7+umn+cc//lGtP+UdQjobftYUARgyvMd1R0UAHtfba+rFKQLQ1NujnFMIGIfAQbYxj/GI9JvylkxdhjOVRNICTrScHfyHLOmZqAg4jgFYI1ARMNhqHawnh/7gQ0ZaqE8dVmOloXEg+VgSVSKvKMnlK6F15dOGxtn50J6GNdYqA4s1HP4GVvQFl18IUPP7ofXTuknAiethnBxAQmIcTB8IwxQJGJHzqYwqBEJBwOGC+78GQdT7t9PS4PNB0DbUd3gRQSyKfghZAd/W/m043S8iMBTnotTnaUchjzvkMsfixetNexqXxwD5J2Aq4kUKGCMhFk9HMpiPRac2byGlPMQs/vTT/XuIvrRFvB4Y2xwUMYuHyMM3El1cRD5CI1oZO5nB1kIieRQBaDDqsrlwCcCJEycybtw4zcjixYvp0yf4hfGSJUvo21ek1oMYN3bs2JDXEtLZ8LOmCMCQ4T2uOyoC8LjeXlMvThGApt4e5ZxCwFgENvE53/GxZPQU2tObfwZMvRFRBy+wgq+l6Du4grZcQmtjnavGWiEvUMgjUi8bvbVIQEuEyMhcj5u+xTls9chhMw/EJzHOHr0oSEOBPrAEsobIETxigvMmQsvQf/T6+uTxwP2r4PmNlT0V1YFFamGCvixjQ5eujCkETiQEDhTC5Qtgxd7Kq+7dBD4ZAPWSQkTEXQrL+8DhVfKAZndDGz8twBBNRqPbi44iTffPv71sT+XaGCns5OAbchDRSxXR+BZOKiuIpY+oE9/tz7OcNcgVnIdzHtcSmUpOWfyHHSyXtuJ8RnIhV0fjKNRojpBIHkUA1gjj6gaHSwCqCMDqEFXPaxsBRQDW9g6cuPMrAvDE3Xu18hMQARH9t5An2ceP0uov4katLEig5q0OOJODVLxEWbEwgcE0J9TQkZqDLXzP5f9w8JVkLJlxJPNAzScIYmGn20Wv4myO+lUGftuexmUxEj1SaWl7v4TVl4IfsUmbF6DZXbqwdHvgxiXwzs+Vh7etBx/1h3Pq6DKtBikEFAJhIvDtARg1H/bIUqaalXtbw1NdQtT7K5/3u9tgp1913/q9vdXErdGrDh8ODK85irSKv/7tX/ZUbowR8s/NoTIJDN+oSyGB8Sl2LSpeX1vAVt7kG2nw2dRnPIOIj8CF2k5WspIXpfnq0YzBPI6o/mv2pgjAADtk8hRgpQFo9n9Vyj9FAKozUFsIKAKwtpBX8yoEagmBQo4ykwcoIe+YB1ZsDOVJTuK0gF5t5QCPMV8rylHeGpLKFIaTjL4qsnqW730Z6oob35CWOK0qsI3OekyGNGa5q5SRJbk+qkUgCmV+lZBBu1isDCxW/dv7sO4vldff4R047bqQcPHv5HTDdYvho+2VhyfHw4vd4YYWujONdfmkBikETjQE3vsZbl0GxX56fyIK9/Ve8JdzwkREEH+CAPRtyadB33WQEL1LoHC8fttZzN1+hZzE+KdtKfzNFmrYYzgzGt/Xe+l1OQ4WSMaTGE0Kj+qecBdHGMscHD5yIF593+HUI1W33WADc9nPbB5CpACXNxtJmvxIWoQkPIxeREgEoCoCYjTskr1wIwBVFeCIbocybgACigA0AERlQhcCigDUBZsapBCIbQR+53sWM0VaRAZNGMokbBq1VblNZwMz+EF60IOz+DvdogqGgyxyGAo+Ly9WmmrpUFZOipgvrzuKuN8vmqSRxcryhAwaxWJlYIHULy/BhjtlzERF4E4zoMnFurAU6cAvb/amBPsXHBAGr2oOL/eADPMX3dS1fjVIIVBbCAgCfvRqeE7+mNbcaZoCnw+G9uHWKDi0Cpb3Bo+PFmpcEvRaBXXa1tZSq5z3Q2cxt5Xm+8Vsw5O2ZO62JZvS50BOFfIUhUyQHtnoQTozsaBPU6EIB2OYzT5yJbsP0Jv2nGo4Ni6czGMch9kh2e7O3ZxJV8Pni5TBkAjASE2u7GoIhEsA7ty5k7POOksbK6r6iojAYE08f+2117THYtwZZ5wRMup6zobSAAwZ3uO6oyIAj+vtNfXiFAFo6u1RzikEIofAOt5lC3OkCZrThy78LeCkLtxaFOA2n0rCouPddKcrZ0bO0QCWC5lCIU9KT+wMIY2PA2oZGuXcvaX5vOkslsy1t8YzNyGDpFgsCiJW8tOTsNlP+89qh65zoaFXFFtP23QYrlwAW/yKDgtbZ6R7U4Ivikz9Fj3uqjEKgZhG4FARXLEAlvjV5xCL6t7IW5CnYbjcV+Hv3qIfJX/K2HT8EE69ypR4feos4cbSPJ/rIa+b42zJPBBD5F8pK8llmHTRZaEBdfhad+ErEcH/L1aw2k/Tdyjnch0dIrKf3/IhP/KlZLsZvejK7RGZL1JG9ZA8kfLlRLUbLgHo8Xho2rQpe/fupUWLFvz0009BoWvZsiVbt26lSZMm7NmzB0sYv+f0nA1FAJ6op1hetyIA1TmoLQQUAVhbyKt5FQK1jIALB3N5lCP8KnnSk3s5PUg67QHyGM0sRBRBeUvCxjRG0CACqUPBIPLgIpcROFghdUlhKkncETFkHR6Plgq80q8y8BVxCbxuTw3rR2PEnAzXsAjZ2zQatj0tj4xLgR6LoG6ncC0e61/o8EYCvrqlsol4K0zsCKPbglX9CtKNsRqoENhwCC6eB79VqDocA+XOVvBsF7CFGzDmKoZlPeDoOhngs0dD66mmBP1LZwnXl+ZJUg3C0QfjkxgbQ0Wb3PzJUbriwZd4tZLObOx01439PH7iv8jl2ptRj8c13b9wD0j1buxlo6Y57NvSacQwpgTNNKjeau300EPy1I6nx++s4RKAAok77riDl19+WQNl9erVdOpU+ffMmjVr6NzZKyEj+r/00kthgajnbCgCMCyIj9vO6qfvcbu1pl+YIgBNv0XKQYVA5BDIYa+mzeOk5NgkNpIZwVRSCZwrlsVO/s1KySkhHv4Yg4iLgHh4sNW72Ec2XfBwyKeLjUwWE0/kUtMOedz0Ls5ml8ctufa4LZn7YyjCRHJekIDf3Qq/viHDbcuEnsshs2YVnz/dATcvg+yKY3Zsnr5N4b2+0ChGiypH7l+nsqwQqB6Bj7fDjUuhqKJArDbIboWXe8KNLau3UamH+DxY/1f47R35UcMB0G0uCJkAk7V5rlKuKcn1uZryOnhvfBITbMkxczkT7HKrpsWutnOQ8cxHRPKXN6H7N4VhNCDN8N0sIodZjKaI7GO2RbGPITxBXUJPrzTcMZ0G9ZA8OqdSw4IgoIcA3LZtG+eddx5Op5P27duzYsUKkpIqNECLioro0aMH69evJz4+ni1bttC8efOw9kDP2VAEYFgQH7edFQF43G6t6RemCEDTb5FyUCEQWQR2sJws/iNNUp/mDOKxoNX5XtQq+u2UxlzGBVxOm8g662e9lIXkcon0t1bOJJOViHiJSLWf3E76FOfgqzIlvsg/tqcxJFYrA4uKwN9cDb9/IsOW0BB6Z0FqsxrBuTsPrlkEWfsqm6mXCO/0hSGBa9DUaF41WCFwPCLgcsOYNfDUhsqra5wCnw2qQYr99hfgh3tkwylneYt+2M1Xynuxq5T/K8ml1A+KO+ITmWJLiRnyT7hfwESKmCatxEZ/0pmBRecFWx7FPMhsDiNXRB5NHy7kFMP/eYjiJYuZyh/Ih7MD13Gupt8be00PyRN7qzSXx1lZWfzyyy/HnDp06BAPPPCA9ueuXbty8803Sw7fcMMNARcwZswYpkzxal63bduWBx98UNMG3LFjB1OnTuX777/Xnol+kyZNChsEPWdDEYBhw3xcDlAE4HG5rTGxKEUAxsQ2KScVApFDQOgCZfEiO8mSJmnFKNpxZcCJCynlIWbxJ/nHnluwaFGALYJEDkZqBQU8ShHPS+YTuJxU3oyoHuBcZwlXluZJQvOpWFiSmEFLa3yklhtZu+5S+Ppi2D9PnkdU/OyVBcniK0N/E0UKnlgPE78Fd0VB6WMG72kNUzuDqFaqmkJAIRAYgSPFXn3Nhb9Xft7lZPh0EJwcrt5fuak/voA1l4G4EChvQg6gzzeQcZ7ptmSFq5RLS3KRlVnhpvhEnosx8i/whVYTMsnCSj1d2LvxMJXFbEAWhxzJ+VzNhbpsVjdoM3NYz7tStya0pS8PRvQ7uTq/avJcD8lTk/nUWBCE3jvv+EUhVwGM0PwL1NxuN7fccgtvvfVW0NE33XSTVgTEarWGDb2es6EIwLBhPi4HKALwuNzWmFiUIgBjYpuUkwqByCLgoIhZPEiepDlkYQBjacT5AScXxUDGMw/xglHe6pOi6QEmY4+swz7WPTjIYSBOZK2qVF4kkesj6sczjkIecxRKc5xhsbI0MZO6lvB/SEbU2VCNOwshaxAcktO8SWsBvVZAQv1QLQXtt/wPuHYR/C4HpGj929SDj/vDOeYLNKrxupUBhUBNERDFdYTe3065iKtm9m/nwgvdwa6HQBcvz9ue8eqB+tfP7fwpNJEjrWu6DiPGf+1yMKokB/kTGP4Sl8CL9lSsYQj5G+FPTWy4+J1sTffviI+ZeDKYj42LdJv+jI38D2+EU3k7l4aMZUBEJDsOs5O5jMXto8SYRCbDmUYSGbrXUdsD9ZA8te1zrM9vFAFYjsPcuXM1km/dunWIaMJ69erRoUMHrULw4MGDdcOl52woAlA33MfVQEUAHlfbGVOLUQRgTG2XclYhEDkEDrFDKwoiNIjKWxJ1GME0EoOk0wZ6uejKGdxF96je9Lv4jWy64fHRGwLx2rGcePSIYIWGs7hxvqU0n/+5ZHG77lYbXyakY4uhF1BpxY4cWN4Hsr+TgchsBz2XgK3mL3IiiunmpfC5XINGmy85Hl7sDje0gFiFMLQTpHopBEJHYMYOuGExFPjp/dms3n8vt+oN0BORv9/dAbverOxMy0fhvAmhOxmlnutcDq0gkxyDDVfGJfCKPZW4GPrg8F5iDcbJNxJ6KUwmiTt1I7qJfTzJQkSUf3nLIJGpDKcOekNEg7vjoFjTFM7FV+fBQn8epjE105HVDYJBA/WQPAZNrcyYHAE9Z0MRgCbf1Ci5pwjAKAGtpqmEgCIA1aFQCCgEjiHwI7P4lvclRJrSjj6MDkjouXEzgQX8JEUOwt/pRg/OiiqyJXxJHtdKc8bRQiMBLRF42SmfqMjjYXBJDt+65bfym0UKmj01qhgYOlnJQW8V0Lytstl63aHbfIiv+QukCDp6dTPctwqKfTIOyye8shm80hMyEgxdmTKmEIgpBITe36NrYbIfHy8WIVJ9Px0IXRrpXFLJYVh9KRxaXtnA6X+FC98Ak0Uzf+92Mrw4hxy/SMVRcXbesqcRH0PknwC9gIcp4t8S/naGkcaHui/SjlDAQ8wmxyc5Wsh0PMoAzuNknYel6mFCS1hoCvu28xnJhVwdkfmiaVQPyRNN/9RctYeAnrOhCMDa2y8zzawIQDPtxonliyIAT6z9VqtVCFSJgBDvXsQU9vKD1K8q8e5D5DOaWRT4SLAnEq9FGZwcwUIcgRaSz/0U87r0KIHrSePFiO78PreLniU57POrDCw0qG62VVSci6gTkTBe+Dss6waFv8nWTx4MXb4AqzGp3j8ehisXwmbf7LeyGU9Pg4/6Q6fIvLNGAjVlUyFgGAKicvbVC2He7somL2roLfYhin7oank/w6phkF8htH/MzvmT4ZwHTReC+6PbyZDiHI76kX9D4+y8Z0+LuajrEmaTx1XS9lk5vayQVaaubXXiZiJfsZUD0viraMfFtNJls7pBQkN4pR+JWY9mDObxoMXEqrNppud6SB4z+a98iRwCes6GIgAjtx+xZFkRgLG0W8eXr4oAPL72U61GIVBjBIrIZiajKSbnmC0rcQzhCepyZkD7q9nF8343/82ox+MMJl5n5UI9C/FQTDZ9cLFJGp7G2yRwmR6TIY/51uVgUIlvvAUIKa6ZCen0iDOGKAvZGSM75m2HZd2h5E/ZatMr4KIPwKJHcKyyg4UO+MfX8Mrmys/iLDCxIzzYDqzqF5ORu6tsmRiBLUe8en/bKz6Kj3l7Ywv4T88aFMz5c7G32IcjW0YgLgk6vm9Kzb+tbieDi3M45Ef+DbDa+DAhnYQYi/xz8SvZdMfj810LdjJZRDxtdZ/M91nPLOQP0nY05QH6YMX4D1ChHSw0hIWWcHmzkcRwppJGQ93rMNNAPSSPmfxXvkQOAT1nQxGAkduPWLJs/KdxLK1e+VqbCCgCsDbRV3MrBEyKwB/8wCImSd6l04hhTMFGYkCvX2EVS5EjSUbRiitpF9VVOtlGNj20xKryZiFNi6iIi3Ba8nRnCTeW5knrrYOFZYmZnGk1hiiLKpjlk2VvhOU9K5MFZ9wC7V41NErosx1w0zIQkU/+rU8TeK9fDSKeagU8NalCIHwEPt8J1y2GfIc8Nt4K/+oGt59Xg392O1+F7/8uV/oV0yQ2hq4zoU5kqsOGj0LFiO1uF4OLs/nTj/zrbbXxSUI6iTFG/nkoIYf+OP0KdKTwPEncpBuqdezmaZZK40VxrikMJxXjtRTc/8/eeYA5VaVv/Jc6vdCRjiCCotKVYkcQpdh7wXV1XXWLawEbCDZAt9jWtax/FdvakCIgiKLSpKmg2JGOUqfPpP+fc5MhuTeZmeQmN5NkznkeHpR7zne+856T3Nz3ft/74WYBk9mnufefyJ85nKG615FqA/WQPKm2BumPMQjoORuSADRmL9LNqiQA023HMsdfSQBmzl7KlUgEEorAOl7la+aobHbjZIZxY8R5anApmkO7CZanFDe3SYzkKIM0h+pacA2vU8H1qssioqKIxZgMeAgKnWiKs5JH3cFICHGtp8nCkuwiClNMSyumA7N/FXw6HDya0r09bodjpsfBRoR7sa0cLv8QloVqyQe6tciGF0+D0V1i8l52lgikBQJeH0xZA1PXhrvbOgfeHgknttO5FJ8HvroNfvpXuAFR4EeQfzntdRo3btgvXo8SXb1LI7Ew1Gzl3awictOM/BNIRZaruJB8/qtb9+83ypnIXKoIssYiAn8qo+hGS0M2aB2v8TWzo/6dYIgTSTCqh+RJgltyihRAQM/ZkARgCmxcCrggCcAU2IQm6oIkAJvoxstlSwQaQqDuN/s3czgnRhz+M/u4l/l4QqI0WpDLDMYaEn1Q3xrK+QMOXlN1yeYm8pnW0NLjuu71+bjMWc77HqfKzkizjf9lFaZVdcowIH77EJafDaJqaGjr/RD0vDMu3LSD3V54cJ2fCBGkiLb9+RiYMSSOFMiEeiuNSQTiR6DUAVcugblbwm0NaOXX++tYoHMeVzl8fin8+n64gfbnwcCXwapXTFCnT1EM2x4g/7ZpyL9BZivvZRVSkIYvVRy8TTnXqFZv4QiK+AQz+jbYiUe5925BLaR6Lcczgp5RIB17l11sYLGSKRD8gm4oUyD2WVJjhB6SJzU8l14YjYCesyEJQKN3JT3sSwIwPfYpE72UBGAm7qpck0QgQQjUpe0jUoEL64jqm81GXkNdrvJ4OnMLJ+uObNCzHB8VSiqwhx9Vwwt4gyzO1mMy6jHlPi/Da0rZJCJuQtplliyesuenXZVK1SJ2zoKVQk/Rq8aj71PQLXJ0aNTARej42S5/NOD2ivCLfVr6C4T0bBbPDHKsRKDxEfjuoF/v73uNJJ/w7Ooj4emTIceq08/KrbBiDJSqtVEVa0feCb0fSLlKv8K1XSLt11HKZg35199sZXZWIUVpSP4JiYpSTkbcn4Ith2I+xsrROjcYnmUlS/hBNX4oXfkTJxpy362mlLncgdAMrm0NaQXrXlwKDNRD8qSA29KFJCCg52xIAjAJG5MGU0gCMA02KUNdlARghm6sXJZEIFEIbGY5n/G4ypwoBjKK+7EQ/kTqxceDLOJrflWNuYEhnMoRiXIrKjtuvqaEU4CgoCbjxFsAACAASURBVJyJZhSzAgvi68+4tsXr4ZSaEvZrNKvOsth50V5AThqmrR1Ca8tLsHZ8OHgDZ0LnKxIO6oEa+P3HMOuXcNO5VnjiRLimZ0KzkBO+BmlQIlAXAiLi7/LFUK7R+xPFb/4xFP50TBxnW6TurxgHDnVFWEw2GPA8dL4qJTfmN59XKfjxo+YlyrEmC/Oyi2iWhuSfj6pAkSp1gY58niYb/d+bn/IzT7FMtY/tKeIhziYbW8L314eXJUxnJ1+qbA/gKo42+OVawhcTpUE9JE+UpmW3NEdAz9mQBGCab3qC3JcEYIKAlGZiRkASgDFDJgdIBJoeAsv4Nz9rqvwezRgG1PHQcoBKbmcuFSHEWxZWpjGadhQlFcBqnqeSW1RzWjmBIhZgikBgJtK5ZR4XYx2lIYpMfuvDzFbeSNMIlkP4/Pg4fPUXNVyiIvDgd6Hd2ETCqNjy+eCZb+CW5VCjDqxUrl/cHZ45GYoSr3Of8LVIgxIBgYBIbRdp7pNWh+PRMhveHAmnxiPJt+11WHsNeDUVdewtYPAsaBVZyqGxd2evz8vZNaV8qyH/epkszM8uomUakn8C03L+iINXVPBmcSUF/Fs35Ns4yD3Mx4H7kA1xrxXkXweKddutb+Am3mcNL6u6tKcPpzMBE2ZD5mxso3pInsb2Wc6fHAT0nA1JACZnb1J9FkkApvoOZa5/kgDM3L2VK5MIJAwBFzXM407K2KWyOZw7ET/8I7XVbOXvLFVdOpwW3M8orCSvIq4PH+VchZP3VL7kcDt5TEoYRnUZmu92cLWznBpNh+NMFmZlF9EqTR9mleVsuh82aTA0Z8Gw+dD6NEOw/Xo/XLIYvlFLXSlzdSnwpwSf0NaQqaVRiUDCECh3+qv8vhchqrVvS5g1Cjrrk4Pzs+Wb7oNvp4b7W9ALhs6F/G4JW0siDR3weRlTU8oGDfl3hMnCwuwiWqfp92UNM6nQFNCycDTFfISJXF0QVuPiLuaxK6TwljB0MydyIofrstnQoP1sZj734CX4FiabIsbyCDlJfrnXkK+JvK6H5Enk/NJW6iKg52xIAjB19zOZnkkCMJloy7lCEZAEoDwPEgGJQFQI7OeXwA//YKSB/4f/DISCUaQWSZdoLL25nP5RzZmoTl5KKGEYXraGmDRRyGzsnJqoaeq0IyIBL3aUUaZJB+5mMjM7q4jO5uQRogldrCAaNtwGP/5DbdaSByctgRbHJ3S6WmPVbrh1OTytzqRTLou0yamDYEJfsGRmMIohmEqjyUPgxxK/3t+mg+FzXnYEPHcK5OrN3PRUw5prYMf/wo23GQEnvAm25EZhR4tsqc/LWEcZ673Be4wYe7jJzIKsItql6fekm28oUe4zwerwJvKVoh9WekQLj6qfeLH1GJ+yEnXFmDPowe8ZrMtmQ4P8LwInUoa6PPsZ3E07jm1oeFpf10PypPWCpfNRI6DnbEgCMGp4M7qjJAAzentTenGSAEzp7ZHOSQRSC4FNzGcNL6mcEj/8RSRgpNSfGlzcyfvsovTQGHHDu5sRHMNhSV2ci7WUcgaEpEqZaE0zVmKmteG+bPC6OaemlL0aEvAwhQQspJdZr8K/4a7XP4EgAdddB1v+q+5nawYnLYZmxpG9szbDtR/DQU2Go3BEpE7OPB3a5zcyPnJ6iUAIAvO3wmWLoVRTSNtsghmD4W/HxaH3V/MrLB8HByPkFHe7CY77F6To94wonHSOo4zVGvKvc4D865im5J+XcqXoR3gxqhfJ4nzdn40P+I4X+Fw1XkTYT2EUdoMi7JfzND9povp7M47+XKZ7HekyUA/Jky5rk37Gh4CesyEJwPgwz5TRkgDMlJ1Mv3VIAjD99kx6LBFoNARE1MFHzGCHpspvfy6nN5F1335hv6JR5A6pGtuMHB5hLAVkJ3UtVTxGFfeo5rRxGoXMSop20c9eD+McpWzVVLVshom3swoZZNEb9pNUGMMnE+l6qy6BnW+rr5ntftLh8BviYDXqX9v2cn+V4M/UQSnKoBbZ8OJpMLpLI+Mjp2/yCAiefNp6uPtzNK8AoHkW/G8EDO8YB0wlX8HyMVC9XWPEDH0eg+43x2Hc2KGVPh/nO0pZriH/2pvMLMwqokuakn9++Ynf4UT9vZjN9eTzd92g/sReJrEQT8g9NQ+7orHbGr154/W7E6kYWEu6M4opmA3W0tUNVAIH6iF5Eji9NJXCCOg5G5IATOENTaJrkgBMIthyKhUCkgCUB0IiIBGICYEaypjDHVQTzF8zYeEspiIeCCK1eXzDTNaqLg2kI7dyKiaSdwsU1QvLuBAXi1S+5DKZXG6LCQe9nXd7PUqkyyaNxpVQgXo1q5DhFrte0407zuPwVxv97YNwPzpcBP2fA1uhIT56vP5iClPW+gsraNufj4HpgyE7TYMsDQFNGk0aAhUuuOYjePvn8CmPbQHvjYKu8Xw0ds2Fzy8FT6V6AmshnPA/aHtm0tYa60TVPh8XOcpY6lWXQG6DiYXZxXRPU/JP4BC5AFVfiliMCX3VioSa7ETmsQ/1Xt/OqQygU6zwR9W/nN+YywRcISnMNnIYzTQKaRqCq3pInqjAlZ3SHgE9Z0MSgGm/7QlZQPKefhLirjSSQQhIAjCDNlMuRSKQLAR28zWLeEDUZj00ZT5tGMM07BEEzb34eJgP2aApInItxzOCnslyW5nHy15KGIpXpWNkUaoC2wzSTtIu8KDPywUR0t1E/N9z9gLOt+p7OEwqkJEmc1fCsrNh3yfhV/O7w/FvQrO+hrm5bLc/vXJ7RfgUx7WAN0ZAz2aGTS8NSwTCEPi51K/393WEojUXdYMXToM8vYG/IqxQ6G9uuF31Xaw4kdcVhs6DwqNSdlccPh+XOcpYpCH/WmJiQXYRPVM0XTkaQN18QQnDgWCut4kiilmGBX0hyeI+Op0lfMlOlQvj6M1lBunqenGzgMns4yfVnCfyJw5nWDRQZEQfPSRPRixcLqJBBPScDUkANghrk+ggCcAmsc0puUhJAKbktkinJAKpj8B63mAjs1SOdmUo4sEgUlTfQaq4nTmUExRss2HmAc6mC82TumAXyyjlbIUOrG1mOlDMcsxJ8kWkvV3pKGOx5uFX/CD4hy2P39tykopJwibzOmHjneGFQcQEokKwkhL8B8NSgg/UwHVL4d3N4SvKtcLjw+B3vQybPmEwSkPpj8Cibf6K1VqNSvEZf/gEuKNvHOdQfM7W3xiuvSlgazEUhsyCrFYpC6JLfP85y3nfoxZDFHII87OL6J3G5J+/6NSJeDUFOgp4nSxG696TWWzgDb5Qje9FG+5lBBaMqXi0jtf4mtmqObtxMsM0FY11LypNBuohedJkadLNOBHQczYkARgn6BkyXBKAGbKRabgMSQCm4aZJlyUCqYCAFw8LuY+9/KByZyg30p2TI7q4ju3M4CPVtcMoVLSLstEbBqMPjSoepoqHVIPtnI14SEtWWrLT5+MGZwVvifRZTbvHlssd1hxMpjT9ibBrNqwZD66S8A3qcDH0f9awlGARGPXsJvjrMqjxhE8vIq+eOQWK0zTQUt+Jl6OShYA4f49+CRNXhaekizP3+hlwZjzZms4DsPJ82Ls0fEmdr4J+z4IldQ+32+fjGmc572nIvyJMzMsuok8ak39+3b/LcDJPtTc5/Jk8HtR9BL9mNw+wGGG/thWRzXTG0CxC1L3uiUIG7mIDi5V7ZHDOQg5jNA8jUoCbUtND8jQlfJryWvWcDUkANuUTE1x7mv66l5uXAQhIAjADNlEuQSLQWAhUsIc5ijZQ1SEXrEqMwzSKaBfRrZdYzXy+VV07kcO5mROTugwfHsoYg4vPVPPmMYMc/pg0X7w+H3e4KnnGXRM25x+t2Uyz5WFOVxKwcgusujhyVVKREnzCW1DcxzCsvzkAlyyKnH7ZuQBeGw5DkluM2rC1SsOpgUCVy1+Z+g11xqTi3NHN/Xp/3Yvi8LX8B1g+Gip+DDfS+yE4cmIcYYVx+BXlUI/Px/XOCt7UvPQowKRUQx+YroWQAuuv5gkquUuFhpXjFYkJk86XXAeoYiJzKSV4jxAvqe7hDHpjzBeYX+v3dqoJvsAxK1q/D9CCw6Pc7czppofkyZzVy5XUh4CesyEJQHmmBAKSAJTnoLEQkARgYyEv55UIZAgCW1jFJ/xTtZrmdFEeFCwRHnjceLiXBWxmv2rMjQzl5DqKiBgFlYfdlDAYn8oXO8UswYpxxJR2PT6fj2nuah5yBYnU2j6XWLL4tz0fW7qSgA2lBIsKpV2vN4y0qHbDbSvg31+HnyKLCaYMhIn9wGJMBp1RR1faTUEEtpTBuQvhy33hzp13uL8idUE8NX5+WwKrLgiPqrXkwMCZ0OH8FEQl6JJ42XGTs4JXNORfHvBuVhFD0pz8c7GKUkYB7kOLNtGcYlZgob2uvRGVfqfyAd+xRzX+EvpxLsfostnQIBFluITp7NSkGw/gSo6OI4W5oXlT+boekieV1yN9SxwCes6GJAATh386W5IEYDrvXnr7LgnA9N4/6b1EICUQWMmz/MASlS+9OItBXB3Rv18pUyoZVhOs/JiFlYc4W1HiS2Zzsogy1A/OZrpRzGeYKUimKzzjquY2l6aSJzDSbOPlrEJy05UEFCjWlxLc8RLo94xhKcFi+vc2w+8+DtdjE9dObQ8zT4f2+UndbjlZBiGwZAdcvAj2awJ5xQ/8+wfBXf3j5Lg3Pwtf3AS+ILmkwJfdDobOgWb9UxpN8ZLjFlcl/9VEOmcD72QVclK6Vj8PoO5lHyUMw6sq0GGikHexK8VA9LVXWccc1G8v+tKeOzgds0HxI5uYzxpeUjncnj6czgRMBmkN6kMneaP0kDzJ807O1JgI6DkbkgBszB1LnbklAZg6e9HUPJEEYFPbcbleiYABCLhxMI+7KGWHyrp4YOhAv4gzrmQL/0JdLbYjxQoJaMdqgJd1m6zkbqp5XNUhi4vI5/mk6QHWTv6mu4Y/OCtCYkj8V04wW3krq5BiUxqHqtWbEnwEnPCmoSnB28vhiiXw6a7ws9AiG/7vNBijr0BnUs+rnCx1EBB6f49t8EeZeoJSaYqDhXZ/mvnZ8Zwpn8df5fdHdZS1MkFxPz/5l6MvuixZKAryb4Krkqc15J8Ihnwzq5DT05z88+FVXiK5+FAFaQ4TyOMe3TCvZRuP8LFqfCvymMYY8jFG43E/vzCfexDVf2tbNkWMVaQxkvtyTjdwBgzUQ/IY4EaTMrlnzx5Wr16t/FmzZo3yZ/9+f+bI1VdfzYsvvtggHl6vl++++05lZ8OGDTid/uJDH3/8MaecckqDdurroOdsSAIwLsgzZrAkADNmK9NuIZIATLstkw5LBFITgYNsU0hAryqqr0B5cMito7Luc6zkQ00RkdPpwfUMTuoifTgpZSRu1qrmzecpsrkqqb6IyRZ5nFzhKKNaM3Nvk4VZ2UW0TWcSUEkJnhiZ0BBVgg1OCfZ44aH1cN+a8AINAu4/HQMzBkN2cjnopJ8xOWH8CIj08uuXwivqOkiK4Z7Ffr2/I5vFMY+rHFZfBrvVBSUUi+3OhUEzwSoSaFO3CfLvXlcVj7nV32ai5NOrWYWMSnPyTyBfxSNUMVW1CTZOopA5mLDo2pzfKOdO5lFJsEqyqPQ7lVF0p6Uumw0NclHDPCZSxm5V1zO4m3Yc29DwjL6uh+TJaECSsLj6CqBFSwC+9NJLjB8/vk5vJQGYhI2UU9SJgCQA5eFoLAQkAdhYyMt5JQIZiMB3fMDnvKBaWVuO5gzuwRwhdciJm7uZzzYOqsb8hZMYQtekIuRhKyUMxUdpyLwi5uFTrPRMqi9islUeFxc6yigJqcAo/r2ryczsrCK6mvU9WCZ9IXVNuPM9WHtN5CrBHS8NpAQbl4K9bDdcthi2V4Q7eGwLeOMM6NU8ZdCSjqQYAtvK/Xp/6/eGOzauK7x8uj8CUHer3AorxkDpxnATotBH7wchDV4EPOCsZLqG/BPfXC/bCxhrNSaKTTfmOgY6+VQpJgXeQ6NNtKEZyzHTRodFcOJhEvP5hQOq8b/jeEYaeC9azn/4SRNx2Jux9OdyXevIpEGSAEz+boYSgB07dqRXr14sWrRIcSRaAlBECV5zzTXKGJvNRu/evXG73Wzc6P9elQRg8vdVzhhEQBKA8jQ0FgKSAGws5OW8EoEMRECIhy/l72xjjWp1fbmEYzk34op3UqpEOjhCUo5ysDGN0bSlMKkoOZhNOVeo5rTQi2KWYiI3qb6Iyb7xujnHUcavvuDDpfj3Nph4L7uI3uY0D1Or/CVQJVh9XhSg80VKsKgSfJxhuB+sgeuWwjubw6fIscLjw+DaXnFqtxnmvTTcWAh8shMuXAR7tSG6wH0D4d4BYI7nl/3+VbBiHDjUhR8w2aD/s9Cl7oiWxsIk0ryPuKqYqilsJAQMXrAXcH4GkH9efuMgQ/CpCnSYKWQe9jiq2keKjB9CF/7MSYZJUvzCcj7VyGC0oBujmIolyZIcqXSGa32RBGDyd2Xy5MkMHDhQ+dOmTRu2bNlC167+F8PREoAifXjVqlUMGjSIPn36kJ2dzX333ceUKVMkAZj8LZUzahCI52eCBFMiEA8CkgCMBz05ViIgEQhDwEEFc7iDqpDKukI4/EzuozVHRkTsE37m3yxTXTucFkq6k01nCpXerangFmp4XjU8i/EU8IRek3GN+8Xr4RxHKZs1JGARJkU/K90rZyJSgjdMgJ/+FY6TkhL8OHS9zjAWTmi4Pf8t/GUZiJRObbuwGzx7ChSnf7BSXOdQDgZxVp76Gm5ZDm41J0+BDWYOBxH9F1fb/gasGQ9eh9qMvQUMfhdanRSX+WQNfsxVxT0a8k887Dxjz+dSqyj9kd7Nh5syxuLiM9VCcplELrfrXtxn/MyTmnthO4oUbVzxYsyIVs4e5nIHrhDRCRs5jGYahbQ1Ysq0sykJwMbfMj0EYCSvJQHY+HspPfAjIAlAeRIaCwFJADYW8nJeiUAGI/Ab3/IBUxARgbUtj1aMZTp2ImtWCQJQEIGhbRS9GM+gpCLlo4YSTsWjqbxYwItkaaoFJ8ux33xezq0pZaMoCBDSckQqXVYhZ2aAjhZKSvB4cIWmYAcWm4SU4E0H4JJFsFGddac40LnAX8xhyGHJ2nE5T6ohUOOGP34KL34X7lkPofd3Zpwp44Jd3DQFvvVHpqhaQU8YOg/yu6UaLBH9edpVzR0Rqpk/Yc9nfAaQf2LRlUylmkdU67cxgkLe0l0pdzsHFUmM0Gj4LKw8yFl0JB4xybqPjSj2sYDJ7OMnVacTuZnD44hiTIuDGoOTkgCMASyDukoC0CBgpdlGQ0ASgI0GfZOfWBKATf4ISAAkAsYg8CVv8RVvq4x35gRO5q8R05hqcCmpwLsoU425jVMZSCdjnKzDqpvvKUFE2lQd6mGigGKWYeHwpPpSO1mJz8vFjjJWeNVhakJPS0TVXJwJD9b1pgT3CKQEGydGLyIAb1/hj/LSNosJpgyEif3AksaFmBvl8Kb5pDsq4LyFsEaTkSuWdXZneHU4FMUTIeqphrW/AxH9p22tz/BXx7anRwXWF1zV/CUC+fd3Wx7X28Qri/RvThYpVX9Dm5kOyv3BTAtdC6zGxV0R7n83MYyTMI74Xc/rbOQ9lc/dOIlh3KRrHZk6SBKAjb+zkgBs/D2QHiQWAUkAJhZPaS16BCQBGD1WsqdEQCIQAwJevCxiKiIaMLQN5np6cHpES1s5wN28jytEUD0POzMYQ0vyY5g9/q41vEYFf1AZstKPIhZjIh51f/2+Vft8XO0sZ4EnWBmy1toMWx5/zIQHbCUl+A746bFwoMzZgZTg3xuWEiwmnf0L/O4jOKDJwhTXTmkHrwyH9sk9jvoPjRypCwGR4rviV/9ZmPlDZL2/e/rDlEFx6v3V/AorzoEDn4f72e1GOO4xSBOtz5nuGm50hlfVediWx82Z8N0EeNgRKBYVGipspYiF2Dhe11kTkfKP8ykr2KIaP5weXMdgXTajGbSbjSziQQiJ1C+gLWOYhkgBli2IgCQAG/80SAKw8fdAepBYBCQBqMazM/Bn8WIV6AiIn+AiL+xN4ClVSEbs+yDe24tyjiKnTPwZCEpt+9qnuVOBpTGaFXfJq0F5HXgU0BIoAXYBy4E5gL9skbp1AX6Jcq6XACNUnyUBGOUGyG4SAYlA7AhUsk/RA3RSeWiwBTujeZhixNdPeFvM9zzPKtWFHrRiMmdijVBJOHavoh9RzvU4eF01IJubyGda9EYS3NPl83GTs4LXPeHs1ARrDnfbcgmtnpfg6ZNnbuesQJXgSCnBl0G//4DNuCrBIurrig/hE3En17TmWfB/p8HYePXekoemnCkKBCpcsGgbzN4C72+F/TWRB+VZ/VV+z4s3MKtkAywfDdXbNROZoc9j0P3mKLxOjS5vumv4vbNCU7Mc7rPlcqst+QWUjEDFh4tSzsTNapX5PB4mB/179QHf8QJqArgrzZnKWdgN0sCtoUy5N1dz8NBazFg4iwdo0UhR7kbsWaJsRkMA+rxefPv3J2rKlLdjatECkzl54fCSAEz5IyEdjBEBSQAGARsDvAJ1ln78IUAMqsUqogdcEHUv1tM9VgJwCDAT6r1bfgX0iTCnJACj3zfZUyIgEUhTBERF4I95VOV9MzpxFg9ijRBJJ6IhHuNTVmqiIcbRm8von1QUfFQoqcAeflTNW8D/yOKspPoSOpnX5+MuVyVPucMZit9bs3nUlofFlAE/LZSU4Ivg4NpwrPONTwn2eOHh9XDfGvAE5SwP+XLzMfDIYMhO82LMjXaQU2Di3ZUwZwvM+QWW7ASHWmYzzMNuhfDeKOitL9MzaG/XXPj8UvAEX44oF60F/pTftmemADrRufCe28F4Zzla6O605nCXPbLma3SWU6tXBXdSw5Mqp+yMoYBXdVfn/Ym9TGIhnpCo91xsTGMMbTDmBYe4x37EDHawXrWWAVzB0YjHMNm0CERDAHr37mVv69ZNBrxWe/ZgbtUqaeuVBGDSoJYTJQmBDPiVnhCk+gYi5kREncgheBj4GJQ49EuA6wKzCBJwAFCuY1YRRfd/gXEuUFTexU/3YwL/FgsBOBT4ABRFe/EL7lngQ+DXQBSgiA0Qv+BECa1IMfyhBOA9IuuonvWIV3Q7day3oSEyArAhhOR1iYBEIG4EVvEC3ytfl8F2JCM5gd9FtF2Fk4nM5TflVhBsdzKcPrSP259YDLjZqBQF8Qej+5uJZhSzAksdUYyx2Nfb1+fz8ai7mqmaSpvC3vkWO8/aC7BnAgkoIh03iirBdaQE930CulxraErw8t1w2WLYFp7dyDHN4Y0RcFRzvTspxyUTAVFr45sD/tReQfytjqDrV5c/Y7rAS6dBs3iK2AoHfvwnbLhNlXqpzJnbxV/so+joZEIS11zz3A6udJajLaD9N2uOEv2XEdHIyrf/HMq5XIWVma4U8ylm9OkzVuBQ7nN7QyLkxQS3cyoDDNS9/ZYFrNbEQrSnD6czQXcBk7gOURoMlgRg+CZJAtCPSTRnQ4vejh076NhRJDkqTfzHjjT4GEgXE4yAJAD9gH4Ciuq6+B0h/l6pwfl2YEbg30SZtPt07INI+z0BlPj9LwERPiHsTA7YipYALAI2Ae0C6cnDQROuEnTOBgiyUdtCCcBrGohM1LHUqIZIAjAqmGQniYBEIB4E3DiZz90cZJvKzCncSuc6qvz+zD7uZYEqMqKQbKYzhuYkN6Wsmueo5G8q360Mpoj5mJR3SI3XhOj+X12VYal3p5ttvJpVSF4mkIAC3p3v+gslRKoS3Olyf0qw1ThhvoM1cP0n8La6ULWy8TlW+OdQuPpIGQ3YeJ+EumcWen7LdgdJv83qOkP1utynJYzrAuO6Qt94g12EvuUXN8Evz4fP2WIoDJkFWfFOkrwdWORxcomjLOwH7k3WbITuX6aQfx5+oYQT8REqR2CnmCVYIyb4NLwHXnw8wkes1zz3j6U3lxsY6b6fzcznXkT139qWTRFjmUGOTiKz4dWmf49oSB4ZAWjsPssIQGPxldaTj4AkAP16fLUCGM8AN0TYBiE0ICL2egU09kScdSRiLdYd1EMA/gO4JUBWCh1BQSbG2iQBGCtisr9EQCKQtgiUsIN53ImHYAELO3mK4Hg+kdNm3mcTL7NGteajacs9nIE5iXqAImWqnCtxagK1c7iDPO5t9D2Z5XZwrbM87IY40Gzl7axCmpuSp9NjKBgVm+HziyOnBBccCce/CcXGVQkWwVvPfwt/WQaiYrC22czQvxUMbQtDD4MhbaFNcrlqQ+FPJ+PlTvhgu5/0E3p+ByMUdIm0HqvZX+hFEH4i4q9zorIwnQdg5QWwVyS2aFqnK6H/c2CJp5RwcndnqcfJBY6ykLho//zXWbMRFX8zhfzzUUMJZ+DR/MzP41/kcK1u0GexkTc0Kbg9ac0kRmIx6N7moEK5B1egDnsdzl205zjda2kKAyUBGL7LMgLQj0k0Z0OLnowAbArfGg2vURKA8BBwZwAqEaEXoRyacnViIDVY/PfIOoprNIy4ukesBKBISRay4CLm/23gwlgnDPSXBKBO4OQwiYBEID0R+IElrFTUEoKtJd05kylYIkTSCeLtUT5mLWqR/AvpwwVJfmDxUkIJw/CyNcR7E4XMwc4pjb4hH3mcXOYo0ySTQS+ThfeyCmlntjS6jwlxQEkJFlWCHw83J6oEJyEleNMBuGQRbAwtBFrH4oRmnCADBSkoCEGRKmyWv/oSchS0RnZWwNwt/iIeH+0Apze6aQrtcFYnP+l3ZicoTjQPV/6Dv9hHhVpLVPHu6Aeh552GprBHh0L0vZZ5XJznKKVaM+RqSxaP2/MxZ0rUsaJHdAs1qCM2s7iIfJ7Xrfv3Nbt5gMWI+1ttKyJb0f0zKrrdh5ePeCRM909o/gntP9nqRyAakkcWATH2FMkIQGPxldaTj4D8HkOJpwAAIABJREFUKQifAicGtPQEsRbh3bqyMUJLb0Vgi6aGpO7Gs2uxEoBjQ/T6Lg5UJxbzi9yjwwCRXCJer0WQDFe5KQnAeHZNjpUISATSDgHxwPMpj7Pl0Ne4fwlHcTYDuSrieoRO0h3MZX8ItWXCxL2MQEQDJrO5WEMpI1S3KBNtaMYKzHVEMSbTvzUeF+c7yjiouf10MpmZnVVE90whAQWo9aYEXwH9njY0JbjGDbevhCc3xrbDglwa3CYYJTiwNeQJoRDZYkZARGRu3O/X8hORfmv3Rm+iU76/irNI7z2pHdiN4sf3fOSP/HMFq60qXlpyYODL0OGC6J1OgZ6fe1yc4yhDW+/3UksW/8kw8s/BW5RrdGot9KCYTzApP/ljbwepYgJzKVUUiPxN3M9EVHtv5RHCmLaRWaznDZXxVvTgTCZjbmQZC2NWnFir0RCAiZ1RWtMiIAlAeSYyDQFJAIL42dYSqKtibu2eNwNq37m/BVyUgMMQKwH4IHBXYN5OQPeAjqDQLaxtohDI/wDRt66fpKEEoCjFJXQFhSafSFQRYqCfBQqLqMt0JWDBISakBmBi8ZTWJAISgQYQcFKlpCGVK/WSgu1UbqMTQlEhvH3HHqawEKGbFLwZ5DCDsQhdwGS2Kv5FlSbt18bpFPJuSgiof+d1M85Rxi6fOvypJSbeyy7iOHPjahYmdK+UlGBRJXhduFmREnzCW1BUW+MroTMfMvb+Fpi61k8+eRt67RfBBZFy2qdFMEpQRAu2y5zCqQkH3eWBz0L0/LbEUA6uXysYG9DzO65FEoLuNj8HX9wIPs077WyRHz4Hmot6dunT1nlcjHWUUaZ5wSCKDj1vL8CaQZF/br6nhJMDcQm1eyRU8pZi5ShdmyYq/d7PIr7lN9X4i+nLeRgnXbCbr1nMA6qIw2wKGc108pDVi6LZTEkARoOSsX0kAWgsvtJ68hFo6gSgeHqrzSR4HxjdwBaIOnzi5/GqOqrrxrqDsRKAs4BzAvqDQhVe5CHVtYeicu8oIFKMQCgBWJ/PQhPxL6oSlNGvUBB89TURPqMIbG3fvp0OHRrqHv3EsqdEQCIgEagLgf38EhAiD8q4+vUAp5NPZBH899jI6xrNJFEReAKnY67zKzjxeyBSqcq4EBeLVMZzuY9cbk38hDosbvN6FBLwJ59HNboQE//LKmSYJYNCzkRKsKio+vOT4UgpKcFPQpffGc72lDnh899AVAxe/ius+g0qdKoUC925Wh1B8Xfv5mDJEBlHHccZge3Cbf4ov/nboCRKPT+hyXhqez/pJ/50TJSeX0OLEJ+7DXfAj0IuWtOK+8CQuZCbXr+3NnjdjK4pDYsuHmOx85K9AFsGkX8+qpTK7x6l1l+w5fMfsjWVgBs6CqHXX2MdsxUp82Az+h5WyQHmMZGakAImIuLwDO7mMIx9ORILNqneVxKAjb9DkgBs/D2QHiQWgaZOAIqnvVpFWhE1d0kD8IpXZ0IxXtxFE3H3ipUADK1WLPZOhFmIqsQvg/JaT0QEiorF4wPr2AxKmTDte2pBAH4BCEJxqdARDVQlFjkAIsdMqAvX5hi8Brp+dUQdjyAJwMR+qKU1iYBEoH4EvmMRn/NfVadWHMGZ3BcxJUlE/z3Mh2xQJFiD7TL6M47eSYXby15KGIJXFcVooYiF2JRC843f9vq8nFdTypcaElDIm4kH9rOtiRY6a+Q173gb1l4L7gglXjsZnxKsXb2oPPv1gSAhKIjBbeL1pY5WYIMTRNpwQEvw+DZQYNdhKI2GbC+HuVv9pN/HO8EVpZ5fkR3O7uwn/ISeX1Gyj7mrHFZfBrvnhaPd7hwYNNPQ1HQjtniT181ZNaXs10T+jTTbeC2rEHsGkX8Cv3JuwMGrKiizuIoCntIN71q28QjqAjAtyWMaoykwKIpdVPr9gKns4XuV3325mGM5T/damuJASQA2/q5LArDx90B6kFgEmjoB2BHYFoB0JtQhBBXEXPQVY34OkG3x7kasBOBaoH/IpEK4SvitbSJy7/rAP94BPKLpIH6+i1ysqjoWcATwISDSjEUbB8yJcbGSAIwRMNldIiARSA4Cfj3Ax9jCStWE9YmSl1Ct6CeJv2ubBRP3cSY9kqzB5+RTypSA9eDXrJmOFLMMc4qkVZX5vFziKOczrzoUTcidPWnP5wprctOnDT9ZFT/DqougJIJyRkHPQEpwcsni0DXvqIAVvwZJwS/3gSfqu3TQkigicqxIGw5UGxZ/d0pWdJtBmyj0/L4Sen6/+It4rI9Bz09ETAotP6Hpd9JhYDNKz6+htVdtg+VjoHRDeM8jJ0DvhyDNKnL/4HUzqqaUPRry73SzjTeyCsnOMPKvhplUcKNq/yz0ppiPMCFqAMbe9lDOROZRiTPkvmVmKmfSvY6I99hnCR+xhpfZhEisCrYO9OM0bk8JuYpErDFZNiQBmCykg/MsW7aMn3766dA/7Nu3j9tvF/E1MHToUH7/+9+rnBo/vjbuRu3riy++qPqH9957j9mzZyv/NmHCBHr27Hnoevfu3Rk2bFhMi9VzNmQV4JggztjOTZ0ATLcIwGXiuydwGsWvvOPqOJkthEw5IN4/i6eRUNIw2sMsvoWEFqBoggw8I9qBgX4N5ZjIFOAYAZXdJQISgcQh4NcDnEi5RhPpNO6gYx1fmf4KiotUj6MikmI6Y8hXvm6T1yp5iGoeVk1oVyI6XtNdITLR3tf4fFzjLGeeJ/jwWTvHg7Zc/mzLTfSUjWuvvpRgUXihj0gJvsbwlOBoQBApwqt/C5CCv8LKX6E0fJuiMUWHPH+V4dooweNagtAXTOUm9Pw+2eUn/ATxF0uEZP9W/qq9gvg7Jhl6fg0Buf9zWDEOHGp9N0w26P8sdIn8cNqQ2ca8/rPXwyhHKbs1eqInmW28lVVIboaRf26+VlJ/URXoyKeYT7Eg3snH3px4mMR8fjkkX+63cQ2DOJNesRuMcsQWVvEJ/1T1FvIao5lGls4CJlFOnZHd9JA8GQlEEhclCL2XXnop6hl94i1ShGaK4Xvq6quvRksYNuSAnrMhCcCGUG0a15s6AZhuGoALgDMDR/PRQLpvXSe1liwUQkzi1aEeRaBvlCKZ/l8kQvswykSYqD48sghIVDDJThIBiYBRCOxnc0APMCiULx5QhEB5vlIbKry9yZe8o9SMCraBdORWTk0q8ebDQymjcSO+6oMtj0fJ4Q9GQRazXbfPx5+dFcwU5Jim/c2aw322XGL5kRyzA40xYMdbgZTgCFUiOl8Fff8N1tSqtiGKiHwTSBtWIgV/hc0RMpqjgTPXCiJVuDZKUFQeTno6bARHSx2wIKDnJ/6OlvAUen6ntfeTfmO6QAd9RVijgS72PtvfgDXjwav5fNmbw+BZ0Cq0Rlzs5htjhNARPdNRynYN+XeC2cqsrCLyY3iobgz/Y51TKLuWcjIeghFHwkYBL5LF+bGaO9T/eVaymB9U4wfThb9wkmH3qlJ28T534QqJlBeVfs/iflpwuO61NOWBekiepoxXItYuCcBEoChtpDICTZ0AFHuTTlWAnwWuCxwoUZxDFAGpq70eomkoou00r4ajOpai2vEFgZ5C+zCGxJgG7UsCsEGIZAeJgETAaAS+4wM+5wXVNK3owZlMrkMP0F9NcZPmK3U8gxhlYFRFJBw87FL0AH3sD7lsp5glWBX519Ro4u34JFcV/3IH06drPRtvyeJf9nwsGfZQT8VPgZRgIberaQW94IQ3oajxUoKjORm7K4MRgoIUFKmx0erhhdoXPzRFMZHQKMGuhckJhNxWDnO2+PX8lu4CoY8YTSvOgrM7+Um/kZ2gMNV0D0XEybdTYZNQktGer54wdB7kd4tmqSnVZ2eA/NuiIf8GmK3MziqkMM3SmBsCV8hRlHMNTt5Rdc3mevL5e0PD67z+GZt58lASj79bOwp5iNHkYEwhJhc1zOceStiu8msw19GD4brX0tQHSgKwqZ+Autev52zICEB5ngQCkgCET4ETgUqgGAiGgqjPyGBgReCfpgKTE3CEYtUA/CsciqsXVYDVMfZqh94ELgz8k0h13qfD31AbkgDUAaAcIhGQCKQ2AuIBTKQrbeVzlaO9GUv/OuofHaCSO5hLOcGoGytm7ucsDkcoMCSvOfmAskPvafzzmulGMZ9hJrXE2f7pqlKIQG0bZ7HzX3sBWZlGAnpqAlWCIwj4i5Tgvk/5U4LTpFW7Yc2eoI6gIAUPRlkVV7vEtrn+CMFaUrBvS7AnQD9P8GJf7Avq+Qmtw2ibICVr9fyGtW1EPb+GHPZU+yNMt4v3vJrW+gw/uWwXP2fTq4nIv7GOUn7WkH/HmSzMzS6iWYaRf2J3qnmOSsTP+WCz0o8iFmHSKSuxgxLu4n0cIY8zdiw8yNl0opkhh0LcR5fxFJs1pGM3TmIoNxoWcWjIYlLMqB6SJ8WWIN0xCAE9Z0MSgAZtRpqZlQQgPATcGdg3UUJR/RQY3NCJcEhwaSSwKAF7HSsB2A9YF5j3SeBP9fgg+on+8aTvimrHR4PylCvEmqJ8dx4VMjICMCqYZCeJgETAaASEHuBcJlKhieo7nYl0oG/E6b9gB9NYorrWhgKlsmIuyQ0XquQuqnlC5UsWF5PPcyn34PWSu0ZJCdbeTE5RqnoWUJCBD/nUmxJ8tZ8ITLGU4Gg+cyJt+PuD/nRh5c9u+LE0mpHhfbItMKgNDAlUHBbEYPMo68Q4PbB0pz/ST/zZHkPF44Gtg6SfiFJMeQ665ldYcQ4ciPBT9fA/Qp/HwGxMhJe+nY1u1AKPkz84yjmoKfhxtMnC+9lFtMjA7wUXaylFPE4ExTdNFCsvbyx0iQ44Ta8aXAr5txP1B/EmhnESxkWEfs9iVvG8yptmdOIsHsCqk8jUBUAGDtJD8mQgDHJJERDQczYkASiPkkBAEoAwKIT0E9Vzb4hwNISctSDDhGpuCSglH/Vo6mlNx0oAivG/gPLLYCsod3Oh8adtXUERExF+iydUPbH3othIrbiUXhv1fcokASi/gyQCEoGUQWAfP7OAe/GGfKVmUcAYppNXR1TfK6xlLkIqNdiG0IU/G6ixFAkwH07lQdKNKBQfbPn8m2yuTBmMax2Z43YoxUG0NSf6ma28k1VIywx82G84JfgtKBLv29K77a1WVxteuwecOl8d9mqmjhI8oihI0JU4YP5WP+En9PzKoixgYjfD6R38qb2jO0P7VNLza2jrSzbAijEgKv6qmhn6/Au63ZwGDKbac5fPxxRXFY9FkAfoYbKwMLuIVhn4feBhu1L0w6d56VTAG2RxdkMnIeJ1EYX3BJ+xXHlMCLbT6cH1iCQmY5r/3jkJb0jEoY0cRvMwhRxmzKRNyKoekqcJwdOkl6rnbEgCsEkfmUOLlwSgH4raNGCR/isUk1dqjoeo/T0j8G9TAK3oyinAx4HromxQtCXX9BCAfwT+XY8vVmBuSLEQkQb8tmY95wCiDnnkskXQPUAcdgqMEyrE7yb4IyMJwAQDKs1JBCQC8SHwLQtYzYsqI605kpGKHmB4fqIbL/exkB818qjiYUs8dCWzedhCCcPwqSI/cinmE6z0TKYrUc31qcfJJY5yyjW3IfHQL7S+OpgTkA8alSdJ7KSkBN8KP9fewkPmVlKC/52WFVvrQ9DhgXUibTgkSnCfyEvQ0Vrl+FOGy53w6e7o9fyaCz2/zn7Sb0RHKEhugK6OlUYYsmserL4U3JrwRmsBHP8/OGxUYuZJopUdXg/jneV87g1X3jlCRP5lFXJYBn4PeCmnlBF4lLiCYMvhz+TxoO4dWMR3/FeTxNSF5oo0hUgBNqLVUM487qRScw88hb/RmeONmLLJ2dRD8jQ5kJrogvWcDUkANtHDolm2JAD9gIgcr+WBarni15VICxaEnqieewlwfQA3UU5rAKAt7RctAaglBgURNy5gezrwXcj+iAg+dXlH/0VB8H0CDAn0fQMQpOOeQETgLXDoVd98YHQEok8Qf8K+IPVWAzsCab7iVZ3IR7gWqH0vLnQALzbg4yIJQANAlSYlAhIB/QiICIql/INtytdisPVmHP25LKLhPVQwkblUhsSz2bDwkIF6S3Wt0MF7lGsi/iwcRTFLMSm3s9RqX3jdnFtTyn4NCdjBZOa9rEKONIvbXQa27W/Cut+DO1KV4PRNCY5mp4RGn0gTVioN7/YTg98ejGZkbH0OF3p+Xf3pvUMPA6vIh0jHpgD2T7+WpPadba5Y3NyULyYTCfZFHifXOco5EOE99DkWO0/a8ynKwMg/Ub29nEtxskAFi41TKORdTDoLdPzMPiaxAPFSqrblYuNhRtOWQkNOvg8vS5jOTr5U2T+K0QxMwchzQ0BIglE9JE8S3JJTpAACes6GJABTYONSwAVJAAY3YQzwCtR5pxTkn4jLF8SZtkVLANYVcRfpKNQXSShU5ueEkICRxotfF4K4i/CEUWfkn9bO04AgFHXKfNd7wiUBmAJfANIFiYBEQI2Ak0rmMoEKTUTDcO6kfR2VdVezlb+zVGWoPUUKCZit84FO775U8Fdq+K9qeDbXkF9v0Xi9s8U/7gevm3McZWzXCP83x8S7WYX0t6SfnllUqChVgi+EEvXDszK28Cg44S3/302g7a+BlULaLhAluPo3qIkkbtIAFse3gbFd/MTfUc3SLhs2fHWOffD1XfDLc+HXWgyBwbMgWyjSpE9z+3zc76riHxFSfkVg5kO2PK63ZmNKeTFGfZhH0mu1cARFLMGss0BHBQ7lJdRepZZhsN3GqQykNpFHn7/1jfqKd/gSESMQbK3pyUjuxazEKsiWCAT0kDyJmFfaSH0E9JwNSQCm/r4mw0NJAKpR7gz8JUD0CYJKqMoIwu8tQBTdCC9f6B+fbAJQzCneZ4uIwsuB3qD8cjgQiOgT5OE79RwgQXYKQRARny/W3BLIA8qAzaCU8XohoHto1DmUBKBRyEq7EgGJQFwI7OUnFiqaRkEWwq8HOIM8mke0/QKf84EqiFvcGLrzR4ScavKaj2pKOC0svUwUBMlWAtpTr4lUQEECfu9Tsz75mHg9q4BTLOmYsxkFziIl+Ku/wWbxrk3TLLmBlOCrozCUWV1EUQ9RyVdECNaSgr9G+PWVZYHhHfyk35gucJj4FZPuzeOA3fNg20zY/T74wtNj6XQF9H8OLFFWSUkRTHZ5PYr254oIKb9dTGZeshfQL1MJf6Ui3/9RwZ9Vu2GiGcV8jEVngQ4vPh7hI9YriTzBNoajuUJJWDKm7WIDi5VkqWBcQzZFimZurk4i0xhP09+qHpIn/VctVxANAnrOhiQAo0E28/tIAjDz9zhVVygJwFTdGemXREAiwCbeZw0vq5DwRzdMiqgH6MTDvcxni/IeJthuZhgn6ny407sNbr6nRJGzDWVNbEqKmV15X5V6bb/PywWOMtZqyAFB/b1gL2CcNSv1nE6UR9v/B+uuqyMleDz0fTItqwQnCh6RBftLmT9deM0ef/W6k9vBiE6QnwkBomKB+1fCtpdBpIe76smJPvoB6HlX2oU3LvE4+b2jnH0RElDGWOz8255PcQam/NZ+BpwspYxzIaRQBtgoYg42hun+qLzHRl5nvWp8T1pzLyOxKnECiW+V7GMuE3GEJBiZMDGCe2lL+hcySjxi8VnUQ/LEN6McnS4I6DkbkgBMl9011k9JABqLr7ReNwKSAJSnQyIgEUhZBIQe4Mc8ynZNZd1jOJd+dUTS7aZMScWqCXnIy8LKNEbTjqKkrrWGV6hA1IwKNhMFFLEAK8cl1ZdoJ6vw+bjcUcZHXpdqiHiMfcyez3hrekU8RbtupV/5j/D5RTIlOCbQ0rxzxc+w7RXYOhMqf65/MeZsGPQydBB13dKneXw+HnJV8Yi7Ooz6E9ztA7Y8/pjBKb9ip9z8QCmn46NEtXH5PE02V+jezG/4lftZhLhX1bYispnGGJqTq9tufQM9uPmA+9jLj6pu/biMYw5JmhsydZM1qofkabJgNbGF6zkbkgBsYoekjuVKAlCeg8ZCQBKAjYW8nFciIBGICgEHFUqkg7rCoQm/HmBkEm05m3lcUVEIts404wHONqwSY6TFiIfCSiZQgzq91ERrilmChS5RYZDsTg6fj+uc5czyCAUOdZtiy+UWa07G6oPRUEpwv6eh81XJ3hI5XyIRcB6EHW/B1pdhv6g910ATxF+7cdDrnrQr9vGrz8vvHOV8piH0xYo7BVJ+B2Rwyq9Yp5f9iiSDV1HXCbYc/kYeUxra/TqvH6SKCcyllGBJbfFAdzcjOAZRz8+YtpoX+VZTwKQjAziV2xBRgLIlHgE9JE/ivZAWUxEBPWdDEoCpuJPJ90l+WycfczmjHwFJAMqTIBGQCKQ8AiLSYQGTEdUba1s2hQGto8h6gM+wgo80ERIjOJJrOSGp6xVVGsu5BqdS8D3YzHSjmMWYaZVUf6KdTEQN/c1VyQvu4MNt7dg/WXN40JabuSSgWOj2NwIpwRXhkHW5BvqIlGBjInyi3SPZLwYEvE74daE/0m/3HBD/31BreTJ0vhI6XAC25EYPN+RaNNeXepxc6yhnT4SU37Msdp6259M8g1N+BUY+nJQyFjdqotfOGAp4BZPOFF0PXh5gEZv4TbUVF9GH8w2M7v6F5XyqKSaVTxvG8DB2RUZcNiMQ0EPyGOGHtJl6COg5G5IATL19bAyPJAHYGKjLOQUCkgCU50AiIBFICwS+YR5rmanytQ1HMYJ7IuoBOnBzF++zQ5Py9TdO4Xil7lLymg+Hoj3l0kQlWulPEfMwkZ88Z2KYyReoFipSB7XtcksWT9rzsWZopVBlvSIlWFQJLv0qHLXCo+GEN5tMleAYjk3qdBW6fgfX+iP9BKHr3Newb/k9/KSfKPKRl5oRug0tQpD3M9zVPOyqCqP+RF1YEcUrSPxMrfJbi4+IwK7gRhy8ooLMQh+KWYgpDsLsNdYxm69VdvvQngmcjtmgKLwSdvA+d+HGcWheCzbO4gGap2g0eUNnNV2u6yF50mVt0s/4ENBzNiQBGB/mmTJaEoCZspPptw5JAKbfnkmPJQJNEgHxMPcRj7CDdar1H8v59OWiiJhs56BCAoriILUtFxvTGUNrCpKKo5dSSjkzrDKwjREU8gYmUreSwpOuau50VYbhdbbFzov2ArIzmQRUUoJvgc3/CT8vokqwTAlO6ucoqsmqtsHWV/wFPcq/b3iIvTl0vBQ6XQnNB6VdcY/QBe7xeZWov6URUn47mMzK5/X4DE/5rcWjin9SxSTV/psVJdilWOJI0V3HdmbwkcpuC/KYzmgKMEYj1UWNQv6VslM17xBu4AhObfiMyx5xIaCH5IlrQjk4bRDQczYkAZg222uoo5IANBReabweBCQBKI+HREAikDYI+PUAJyAqIAabiTO4i3YcG3EdH/Mj/2GF6lp3WjKFM7FiSeraPeymlOF42aaaN4vLyOc/Ka3f9Jq7hhudFSFUqn8Jw8xW3sgqpCjDUwnrTwn+HfR5QqYEJ/XTpJnMVQY73oZtM2Hv0oY9MdvhsNF+Pce2o0D8f5q3zzxOrnGU81uElN8RZhvPZhXQItM/p4E9dDCHcqW4R7A4B+RSzAdY6aN7p/dQzkTmUUkwhdyCmfs4kx4GyTmIl1+f8QQi/Te0dedUhnKD7rXIgdEjoIfkid667JnOCOg5G5IATOcdT5zvkgBMHJbSUmwISAIwNrxkb4mARKCREdjDDyzkPo0eYFFAD7BZmHfi4elJlrFMIwA/mqO4koFJX42b7ynlDHwcVM2dw63kcV/S/YllwvluB1c7y0Mk7/2jjzNZmJVdRKtMJxfKf4BVF0VOCS7o5U8dbX4CNB8I1tRM645lv1O+r9cNvy32R/rtfA+84XqVYWtoMcQf6dfxIhCRfxnQvD4fj7qredBVhVezHvGKY7Itl79YczBncqRuyLrdfEEJI4FQ6QJRf/1Vshije8ddeJjEAjazX2VjPIMYRS/ddhsa+B0f8DkvqLqJlN9R3I+V9CeuG1p/KlzXQ/Kkgt/SB+MR0HM2JAFo/L6kwwySAEyHXcpMHyUBmJn7KlclEchoBL5mDut4VbXGthzNGYoeoDls7dW4uJN57KZMde0OTqM/HZOOlYvPKVUeRNXaenk8Sg5/SLo/sUy4zOPiYkcZZZooo24mM7OziuhsTm5UZSy+J6SvpzqQEvxMPebMUHQMtBBk4AnQYjDkHwGZTpAmBOAGjAhdP6HJKHT9tr0GDnURhoij87pCp6ug8xWQ3z0ZXiZtjr0+L9c5ylkSIeW3ncnM/9kLGNJEUn4F6B52UcopeNmt2oNc7ieXv8a1L/9lFYtQp5QPpgt/4STDorf3Bl54eUNir23kMpqHKaRtXOuRg6NHQA/JE7112TOdEdBzNiQBmM47njjfJQGYOCylpdgQkARgbHjJ3hIBiUAKICAq6/r1ANervDmOC+jDhRE93MIB7uZ93CExMvlkMYMxCP2mZDcnCyjjUuWRNdhElMrLZHFOst2Jab4NXjfn1JSyV0MCHqaQgIX0MotSAxnetr0O668Hd4QqwZGWbmsGzY8PkoLiv+3FGQ5SApdXvdNP+Anir0xdfCHiLLZi6HCRP8VXRP1lYPTbco+La5zl7PZp4/5geCDlN+OjckM230elEvnnQV20J4sryeepuEg6EUH+hKaI02EU8jCjyTFIv7WGMuYxkUpNxOGp3E4nBiTwwyVNNYSAHpKnIZvyemYgoOdsSAIwM/Y+3lVIAjBeBOV4vQhIAlAvcnKcREAi0KgI1FCu6AFWqR6OTEpV4MPoHdG3D/iOF/hcda0nrZnESISOU7JbDS9Rwc2aae0U8h52Tky2OzHN97PXwzhHKVs15EMzTLydVcigphB1pKQEiyrBG2LC7lBnkTZcGyUoIgWLjgZThkdQxoKUIFd3zoKtM2HPhxo9twiGTFZoe5Y/FVvo+1mMKcgQyxKM6CtSfv/pruZ+V1WUmeWTAAAgAElEQVSYJqf4FrvHlsutTSjlV2AsXgqVczlO5qkgtzKMImZjiiNVVlSSF8WkRGX52mbHwoOcTSfCZScSsedevCzhYXah/m7pzTj6c1kippA2YkBAD8kTg3nZNY0R0HM2JAGYxhueQNclAZhAMKWpmBCQBGBMcMnOEgGJQCohsIfvWMgU5eGvtmVTxFhmkEN4dJXQA/wHS1mtKcJxHsdyMX0bZWlVzKCK+1VzmyikSBGrj0xkNoqjESbd7fVwjqOMTb7QKEYhtQ+vZhUy3NIE9KlE6uWu2bD3EziwEkq+Al+QKIhpr4RuYLNBIanDJ0BWq5hMpH1ncZb2fOyP9Nv5LnjCq0+HrbHZQD/p1/GSjMdrn8/LHxzlLIqQ8ts2kPI7rCmQ75pDUMkkqvmn6l/NdKOYJZhpoftjUYNLIf92UqqycSPDOJluuu02NPBL3uIr3lZ1a8tRAZkL+ZKgIfwSfV0PyZNoH6S91ERAz9mQBGBq7mWyvZIEYLIRl/PVIiAJQHkWJAISgbRGYCOzWc9rqjWICMDh3B1RD1BUb5zAXPYSTN0UN+G7OINjaZd0LAQpWcnfqOF5zcPrYRTxIRY6Jd2nWCY86PNygaOM1aIgQ0izAbfbcvmTNYf8DEy/rBMjdxWUrIf9q+DAKti/Emp2xQKpum9eN3WUYPFxYBboZlgr/dof6bf9VRDpvg21nI5+0k8U9Cjs2VDvjLi+MpDyuzNCyu9pZhvPZxVkfiGeCDtZw0wquFF1xUQzhfyzcITuva+rgNRpHMEfGKLbbkMDd/IlHzJNFfGaQzPGMC3ii62G7Mnr8SOgh+SJf1ZpIR0Q0HM2JAGYDjtrvI+SADQeYzlDZAQkAShPhkRAIpDWCIjovyVMRzw0hbY+XMRxnB9xbT+yl8kswBOiYVdENjMYSzE5ScfDh4dyrsTJXNXcFnpQxKK4IliSsZhKn48rHWUsjhCV1AYT99jzuNKShaUpEYG1wIuiFdU7AmRggBQ8uA68Dn1bY86GZgPUUYI57fXZauxRNb/5df22zYSSLxr2xloAHS7wF/RodVKTKaoiUn4fd1dzX4SUX/EAcbctl9usOU3y8+ViGaWMBVwh58cakFE4ueEzVU+PxXzP86xS9ehCc+5nFHaM0TmtYK+i++dQvaAyM5JJtDGw0nBcQDWBwXpIniYAi6FL3LNnD6tXr1b+rFmzRvmzf7+/AvfVV1/Niy++2OD8VVVVLFy4kMWLF7N27Vp++uknKioqKCwspEePHowcOZIbbriBtm31F9TRczYkAdjg1jWJDpIAbBLbnJKLlARgSm6LdEoiIBGIBQEhlu7XAzxwaJgJoQd4L6I6cKQ2l294hbWqS8dwmBIJaCb5t2Uf1ZQyDjcrVT5ZGUQRczEpibWp25w+Hzc4K3jLE5nY6mWy8IA9jzPMNkxNkQgM3TqBkahkWxslKCIFK3/Rv7k5HfyVhoWOoPjTrF/q6t+JKsoiZVpE+/32AWjSx8NBMEPbkf5Iv3bjwJranwP9mxh55IFAyu/CCOR6a0y8kFXAyU0h1T4CPB5+ooTT8HFQdTWfJ8hmfFxb8TP7mMQCVdGoXGxK0Y+2FMZlu67BHlwsYDL7+VnVZQBXcLRSNV62xkJAD8nTWL5myrz1/U6IhgDcsGEDQ4cOVQi/+pogA5977jkuuugiXdDpORuSANQFdcYNSv6TRsZBKBekEwFJAOoETg6TCEgEUguB3/iWD5iq0gP0p01NJ4eiMGe9+JjBEr5AnW54CX05l2MbZXFeDlKqVLH8VjW/nVEU8Bomg6JOErVYEak0yVXFE+7qEFVGtfVTzDYetOdxbFOoFBwLsDW/woHPQ0jB1eCpisVCsK/JBsV91VGCuV0arxKuSFnd95lf12/H2+Aua3hdxX38kX6dLoVs/dEZDU+Uuj1We1yMd5azPULK70lmm0L+tTElv3hRKiDm/648DUEChrYc/kQeD8XlYgUOJjJPJRMhDN7KKQyic1y26xu8iv/yPYtUXToxiFP4W1wVjA1zuAkZ1kPyNCF4DFlqKAHYsWNHevXqxaJF/s9HNATgsmXLOPFEfzE1QQSOHj2aAQMG0KJFC/bu3cu7777L888/j8fjwWKxMHfuXEaNGhXzWvScDUkAxgxzRg6QBGBGbmtaLEoSgGmxTdJJiYBEIBoENjKL9byh6noYx3IGd2KKUOW3jBruYA4HqT40RkQOTmYkvWgTzZQJ7+NhB6UMx6shJrMYTz6Pp8WD4Cavm3udlRELFQjAxI+eSyxZTLLl0sEsBe0jHiKhqVj2tTpKsPx7/ectq41aS7D5ABBFR4xswl8R6bftFaja2vBM2e2g0+V+bb+iYxrun6E9fD4fT7lruNdVGVJ31r9Y8dmZYM1hoi23Sab8Cgx8uCjjXFx8ojoBds4KvCjR/50iXgw9wkesZ4fK9miO4koGGnbiNvMZn/Gkyn4BbRnNw9hTPPrbMFBSyLAekieF3E9LVyZPnszAgQOVP23atGHLli107dpVWUs0BOCKFSt47LHHEHaOOuqoiBjMnj2bc889F/Gd261bN8Q+x5qhoOdsSAIwLY9kwp2WBGDCIZUGo0RAEoBRAiW7SQQkAqmPgNADFOLpu/hK5WxfLuZYzou4gE38ylQWIQTfa1tzcpnOGArJbpRFu/mWUkbgo0Q1fw53ksddjeKTnkk/9ji521nJxjrSPAW6N1tzuMWWQ2ETjWSKCVfHfjiw2q8nqPz5HFzq6qTR2zP7Sbba1OEWJ0D+EfHr6jn2wfb/+aP9Dq5u2B1LLrQ/30/6tT4NTPrJm4YnS/0eoqjOH50VvO9xhjnbChP/zSrg1Caa8isAEd/TFfwJBy+p8LFwDMUswkR8pPZsNvIa61W2j6Q1kxiJNcJLpEScqINsZz534yYon2BB0JkP0NzAiMNE+N5UbOgheZoKNslaZ6wEYLR+XXDBBbzzzjtK93Xr1tGvX79ohyr99JwNSQDGBHHGdpYEYMZubcovTBKAKb9F0kGJgEQgFgSEkp7QA6wO0YXy6wFOoi2R3wK/w1e8qSki0o8O3MFpjRZx52KFogkINarl5/EYOfwuFkgata/H5+MNj4Oprip2RUhlFM61xMRdtlzGW7OxNXV9wFh2S+BZ/p06SlBU0w0hs2Mxh60ZND8+RE9wENiLGzYhNA13z/MX89j9PvjUFaHDDZig9el+0q/9ecZHIja8gpTosc7j4mpnOVsjfE6Gma28YC/gsCYeMVvNE1RqXoKYaUsRH2NB/KTV38TLoPtZhIgCrG3iJdB0RtOcPP2G6xnpopp53EUZ6krhw7iRbsRXxMQQh5uoUT0kTxOFyrBlG0UAPvXUU9x8882K32+++SYXXnhhTGvQczYkARgTxBnbWRKAGbu1Kb8wSQCm/BZJByUCEoFYEfiVTSxS9ACDD3JCD3AsM8iOIODuxcuDfMjX7FZNdSUDGF1HEZFYfdLT38FcyrkCVIp6Zgp4haw0E4WvUtIaq/mnq5ryOgiq7iYL99tyOdtijzkNRw++GTnGVQYH1gSjBEWhEec+/Ust6BVIHR7s/7vwKH+UnqhuvH8lbHsZtr8JLnUhhogTFh4Nna+CjpdBbnxkjf4Fpd5IkX72jLuGu1yVqlq2tZ7ebs1RCHJrEyfHHcynnEs0BLdQeF2IjdiidrSnoIRqJjAX8XdtEw9noijUsbQz5NCI+9Mn/IutmkrDPTidwVxvyJzSqD4E9JA8+maSo+pCwCgC8B//+Ae33nqrMq2IBDzvvMjZInX5pedsSAJQnnOBgCQA5TloLAQkAdhYyMt5JQISAUMR+Ip3+JI3VXO04ziGMzGiHqB48BN6gKUhEXcWzEzlTLrTylBf6zNezX+p5K+aLtkUMRsbQxrNL70T7/V5edhVxQvuGjx1GBlitvKgLY8BFpveaeS4WgQEUVe52U8ICsJO/F3yVRRRenVAKHQDmw2Eqm1Qqa5WGnFEVms/4SeIP1HYo4mTWFqMSn1ebnJWMDtCym8LTDyfVcDwJpzyW4uXmw2UMAKoVEFYwEyyOCeuz7sHLw+wGBEBGNouog/nc1xctusbvIn5rNGkMjenK2cxFZECLFvqIKCH5Ekd7zPDE6MIwHHjxjFnzhwFpE2bNinFRmJpes6GJABjQThz+0oCMHP3NtVXJgnAVN8h6Z9EQCKgCwER1fchD7ObDarx/biUY+p4YNzALh5isSo+rTX5TGMMeY34QFbJA1QzXbUOE8UUsQgrsf1Y1QWmAYO+97qZ7KqKqHVWO90FFjuTbXl0aeJpjwmH310FJesDqcMr/cRgjTr6Na45zdnQ/hzodCW0GQGy4nNEOL/0urnKUcYvEVJ+B5ut/J+9gPby7OPlV0o4JawwUi6TyOX2uI6qGPwG65nFRpWd42jHRIZjNihGYw/fs5Ap+EJeg9jJYzTTKKB13GuSBhKLQDQkj8/rpWr//sROnMLWclu0wGROXhVyIwjAr776iv79+yuVgI855hg2bFD/XowG/mjOhtaOJACjQTbz+0gCMPP3OFVXKAnAVN0Z6ZdEQCIQNwLVlAT0AIPFNEQ14JFMpg09I9qP9DB4PJ25hZMbTQ/QL3x/Mw5eVvlspj1FLMFC+7ixaiwDyzwu7nFVsk5UvY3QRBzMH6w53G7LoZksFGLMNokoweodgSjBQKRgyTrwhheiqNeBlif7I/06nA+2ImN8zQCrIuX3eXcNE12VREL4FmuOUiG7qaf8iq32UUUpZ+FmnWrns7iUfJ6J+zt5NVv5O0tVtluQq7z0MaoIVCSdWuHA6UygQ5ypzBnw8UjJJURD8lTu3cujrZsOeXvbnj3ktUpedkSiCUCHw8GwYcNYu3atcuZEFOCYMWNiPn/RnA1JAMYMa5MYIAnAJrHNKblISQCm5LZIpyQCEoFEIbCbr1nMAyo9wFyaM4bpEfUARTrYFD7ge/aoXLiW4xlRB2mYKF/rs+PDTRmX4mKhqpuFoxQNLDPNkuGGIXN4fT7e8Ti5z1XJtjoKhTTDxB3/z955gElVnf//M217oXeUoqCAilIEEQTpoGkmJjHGFnvvlQ4qdmPUGEssP2NMNPFvVHoHQQQVK4iACkhvy/ad9n/O3VmYOzO7O+3O3Jl5z/PwoDvnvuc9n3PY3fnOWxx5XGHPIVvSSA05B51R1dij5POjDUZUlGDFD8HrFnavjfQ75g+Q38l4v1J8hcNeDzfWlGn3PXCoO/58diFjJOVXQ6O6updyMTX8Px0qOwMp5j0sZMd0Gzayl2nMxekXhWfDwhTG0s2gsg+1ken3o34u+Y+T+CWnafUNZZiRQDgijwiAxp5cvAXAK664ghdffFFz+uKLL+aVV16JagPh3I1AwxIBGBXqtHtIBMC0O9KU2ZAIgClzVOKoEBAC0RL4nLdZx1u6x9tzKsO5M2Q9wH2UawXhy6g+8owDKzMYTyeaRetGzM/VRsOcg4s1AW+Iz9BqAlrIiXmNZBqo0pohVPKoU8VuHm3g4u9TZ4uVKY58fimNQhJ/VFW74MBqOPgJWBzQZnRtPUARZMM6iy98Kb+bQ4jc/a12XskqpKOk/B5hWc40KnlEx9ZKZ5qwCCstwmJe36RdHGaC1lTk6Pd4NfcS+jPWwLIKn/ImX/KOzq229GIE92ElcemUMcHLwIfDEXlEADT2YsRTAHzwwQe59957NYf79evH4sWLyc+PrtN3OHdDBEBj70aqWhcBMFVPLvX9FgEw9c9QdiAEhEAjBFTUxXzuZ1dA1EUfLqAXPw/59Cds42EWBbxRK2Im55BD8ppTeNhPCSNx853Otyx+RiGvYcGW8vdhv9fDI84KnndVheyKqv3S7msUMlAahaT8eaf7BlTK78uuKu50lgfITbU7v9GeyxRHHg4RUo9chSr+SVlAJ1wLxRSzAHuMkdiHqWIis9hFqe7qDeM4ruKMmNOK67vP2/mUhQG1XFU0uqr7p3oZyzAvgXBEHhEAjT2/eAmAf/vb37j66qs1Z0844QSWL19OixbRf6AQzt0QAdDYu5Gq1kUATNWTS32/RQBM/TOUHQgBIRAGARVT9j/upIqSI7NVPcAxTKEV3UNaeI01fMA3utcG04XrONOwN4lhbAU3WylhuFYc33/kcAX5PJZU38LxP9w5WzxuLS34nRDpknU2fmbLYqojn+MkcipcrDIvgQTKvF5uqinj3yqlOmColN/nsgoYZ48tlTWB20nIUk5WUoKqxeWfJm2jiP+Sxdkx+VCDi2nM4zv26uyoph93Mhy7QVF4pezhfe6mxq+LsfqwZgyT6/35E9NG5eG4EghH5JEmIHFFHmQsHgLgP//5Ty688EI8Hg/HHnssK1asoEMH9VY4+hHO3Qi0LinA0fNOpydFAEyn00ytvYgAmFrnJd4KASEQA4GdfMk87teqS9WNPJr76gEWBll24WYis9mCvrPfNQxiKMfF4Ensj7r4khLG4OWwzli8OmPG7mH8LKx2O7nPWc7qehqF2IHL7Tnc5cijhTQKiR94sRQTga89Lv5YXcp3XneQnb5WO69mFXKMCNc6Nm6+5xDD8AZ8z83nSXL5U0znoSLBH2cpa9iqs6PKOkxhDLkGRXa7qWEWkzjA97p1+3ExPRgX057k4cQQiEbkSYxnmbNKrAKgavJx3nnn4XK5aNu2rRb517Vr15gBRnM3RACMGXtaGBABMC2OMSU3IQJgSh6bOC0EhEC0BNbxbz7nP7rHVefFs7V6gME/jndTqtUDrPRLRs3GzgOMpwNNonUjLs/VsIzD/DIgUgYKeIYcLorLGmYxotIo/+euYbKznFA11JSfRVi4zZHLNfZcciWd0ixHl3F+qLv6mrua22vKqAqx++vsOUxz5JMld1RHx8MhShiBm291X8/hWgoCUmcjvVSqk/qrrGE263WPtiCf6YyjGXmRmgx7/iqeZyMLA0THgQzhprSJ1g4bRopOjEbkSdGtmtbtWATAhQsXMn78eFTn3+bNm7N06VJ69uwZl71GczdEAIwL+pQ3IgJgyh9hym5ABMCUPTpxXAgIgWgI1NYDnM6ugNTevlxITy3tLHis4geeZKnuhY404X7Go8TAZI5q/kspl+iiGkGly71JFmOS6Zoha9d4vbzkqmKms4ID9TQK6WCxMtmRx/m2bKwishhyDmI0NIFyr5dbasr4Z4iU32IsPJtVwM8k5TcIXm2X8/NwBtRddTCKIv4dc23TD/ia11irWzcPB9MYS0cDO6hvZikreFa3bhHtOIcHcJAr/4xShEA0Ik+KbC1l3IxWAFy5ciWjRo2ivLycoqIiFi1aRJ8+feK272juhgiAccOf0oZEAEzp40tp50UATOnjE+eFgBCIhkAFB3mPuwLqAdoYyxRa0i2kyRf5iPkBkSnDOZ4rOSMaF+L6TCXPUc4dATZVWfkPcNAvrmuZxdghr4fHnJX81VUZsrGC8rO3xcb9WfkMsWWZxW3xI40JrPel/H4bIuX3NF/KbydJ+Q0h/nkp51aqeFH3mo2eFDMfK8HlGSK5Rh/5PsDx7ytuw8q9jKAXbSMxFdHcg2zlA+5DpQDXDTvZjON+mtIxIlsyObkEohF5kutx+q0ejQC4bt06hg0bxqFDh7Quv3PnzmXQoEFxhRPN3RABMK5HkLLGRABM2aNLecdFAEz5I5QNCAEhEA2BHXzBfB7QRc7l00KrB5hNQZDJGtzcxwds5aDutRsZwiA6R+NCXJ8pZzKVPK6zaaGZ9gbaXo+oGVcHkmRsq8fNNGcF/woRcVXn0hirg+lZ+ZxgTW60ZpIQybIJIPAPVxW31pRREWKtq+05zHDkky3RqCFPopK/Us6dAd+7WtKEJdg4JqbT28AeZjAXJx6dnRsYzJl0icl2Qw/XUMEH3MthduqmDeZ6ujDYsHXFsDEEohF5jPEkc6yqBh2bNm06suF9+/Zxxx21H3QqEe/yyy/XwbjkEpUJcXRs3ryZM844gz179mhffOKJJxgxYkSDAFu1aoX6E8mI5m6IABgJ4fSdKwJg+p6t2XcmAqDZT0j8EwJCwDACn/EvvuC/Ovsd6cswbg9Zm+knSriH96nGdeQZVTh+JufQhiLD/AzHsKpxVcZVVPNP3XQrx1DMAmwGRrqE45/Rcz51O5ngrGC5xxlyKStwiT2Hex15tJZGIUYfR8bYr/B6ua2mjNdDCNCqJuUzWQX8QlJ+670PNczlMOeDTqDLpphZOOgf0z3aQYnWxKksIEb4d5zGLzkpJtsNPay+Fy/hcbbysW5ad0YxIMZGJoY5LYYbJBCNyCNIYyOgBL1XX301bCOq9qr/eOWVV7j00kvDfl5NnDx5MlOmTInomWjuhgiAESFO28kiAKbt0Zp+YyIAmv6IxEEhIASMIuDBzTymszugMHxfLqIn40Muu4zNPMMK3WudaaYVkndgM8rVsOx6cXKY3+Jkvm6+jZMoZjZWisOyk6qT1BuA2e4aJjor2BgiDVPtKx+4xZHH9fZc8iUiK1WP2hR+b/C4uKi6lPUh7topFhuvZhfRVVJ+6z0rF19Twki8lOrmFPIK2ZwX0xkfopKJzGIPZTo7I+jG5QwwtPnG17zHWl7XrduC4xjDFGwGdRqOCZY83CiBaESeRo3KhAYJiAAoFyTdCYgAmO4nbN79iQBo3rMRz4SAEEgAAdVKorYe4OEjq1mxMYZptOS4kB48ywqWsln32lhO5JIYI1bisV0VB1jCeFx8qjPnYAhF/BcL2fFYxtQ2XKoLq6uKGc4K9tbTKKStxcoERx5/sGVjEyHQ1OdpRufedFVxc00Z5SGcu9yew4OOfHLkXtV7dB72cIhheNiqm5PHfeRxd0xHXoWTacxlM/t1dk6jA7czDFX/z6ihPkyayzS8fhGNqqTEOcykgJZGLSt2DSYgAqDBgFPYfDR3QyIAU/jA4+i6CIBxhCmmIiIgAmBEuGSyEBAC6UjgJ9axgAd1W8unJecyM2Q9QPUG8x4+QKWY+Q/15rJfjDWr4sHXw14OMRJPgEiZxa8o5GUsBr4Bjof/8bJR6vXwZ2clT7kqqazHaE+LjRlZ+YyQRiHxwp7Wdiq9Xu6oKePVECm/BVh4OquA8yTlt8E74KXS9yHFGt28bH5DAS/FFJ3nxsNjLOYTtutsd6E5kxlNjoEReJUc4j3uplJXJ9bCCO6mPb3T+t9Fum8uGpEn3ZnI/moJRHM3RACU26MIiAAo9yBZBEQATBZ5WVcICAFTEfiUN/mSd3Q+daQfw7gt5BtS1QzkXj7AifvIM/lk8RDn0jJEE5FEb9bN9xxiOF726pbO4VrymRnTm+xE7yXW9XZ43Fo0oKrTpq8SdNTycKtDEwJ7SaOQWHGn7fPfedxcVH2Yr0Kk/Pay2Hgtu4jjJeW3EfFPJfxeRg1v6+bZ6a91LbeQE/X9UbX3XmJ1ULd29f14BuNoQm7Utht7sLacxAx2841u6in8mt78prHH5XWTE4hG5DH5lsS9OBGI5m6IABgn+CluRgTAFD/AFHZfBMAUPjxxXQgIgfgRUG/gVOrWHjbojPbjYnowLuRCC9jIC6zSvdaNlkxmDHYTRNm5WEcJY7X2IP4jj+nkcXP84KWIpa88LibWlLOgnkYh6pcxlRI80ZFHOxFyUuRUE+Pm265qbqgpoyyEhHypPYeHHPnkSspvo4dRwYNUaN3Xjw4rx9KExVhjTJF9l694g090ttWHMqo+a3uD659+wht8xbu6tdtxMsO5B6sJfhY0ejAyoUEC0Yg8gjQzCERzN0QAzIy70dguRQBsjJC8bhQBEQCNIit2hYAQSDkC5ezX6gFW+xWlV/UAxzINVcQ9cKiIkz+zjFX8oHvp5/TiAvqYYv81LOIwvwb03XELeJ4cfm8KHxPtxEJ3DRNqykNGcilfVJzQDfZcbnbkUigdgxN9PKZZT9WS/Mzj4lVXVciUX9VQ5s9ZBfzWHn3Ummk2mwBHqnlLi/7zHxYKtS7ldnrE5MGHbOEplutsOLByH6M4kdYx2W7s4a2sZTGP6Kbl01yr+5eT5O7wjfkur4dHIBqRJzzLMivVCURzN0QATPVTj4//IgDGh6NYiZyACICRM5MnhIAQSGMC2/mMhczU7bCAVlo9wCyth6x+VFDD3bzP7oBOlvcwgt60NwWpKv5NGX8K8MVOEW+RxQhT+JhoJ9xeL2+4q5nurGCn1xNy+ZZYuM+Rx8X2HOwS3ZXoI0r4eh6vVxOFl7mdLHXX8KHHRWk9SeM9tJTfQrpLynhY5+RktVb3D6r95lsp4m2yGBmWjfomfcMu7mc+Lr/GG2ruzZzFQDrFZLuxhw+zi/e5BycVR6bWNpGaSkuOb+xxeT1FCEQj8qTI1sTNGAlEczdEAIwRepo8LgJgmhxkCm5DBMAUPDRxWQgIAWMJhErnOob+DOXWkLXztrCfCcxCFaCvG4Vk8zA/oxl5xjobpvUKnqKC+wJm51PMLBycFqaV9JtW7vXyjKuSJ5yVIdM71Y67WWxMd+Qx1paFRYTAtLkEXq+XjXWCn8fJcreTA/VWiTy67T/asnk0q4A8uQth3QU3P2odfwPrkebzKLlcFZaN+iZt5xCTmE05NbopF9KHc+kVk+3GHnZRw2wmciAgAvx0LuMERjf2uLyeQgSiEXlSaHviagwEorkbIgDGADyNHhUBMI0OM8W2IgJgih2YuCsEhIDxBDy4fPUAv9Ut1p9LOZExIR2YzXpe4WPdaz1ow0RGmqYGVBn3UMXTOh8ttKAJC7DR1XiwJl5hj9fDA84KXnFV+bV10Tt8ptXO/Y58TrM5TLwTca0hAj943Cz1OI9E+e0OQ/Crs6ek/CeyCrhAUn7DvmQeDlPCSNwBzTFyuJICHgvbTqiJB6lgIrPYS7nu5dGcwKX0N7zR0Yc8xyYW69buzCAGc4Pha8cETh6OmEA0Ik/Ei8gDKUkgmrshAmBKHnXcnRYBMO5IxWCYBEQADBOUTBMCQiCzCNv4Kw4AACAASURBVJSzz1cP8GgDDSt2xjGd5nQJgqHqAT7KYtayTffarzmF39DbFPC8eCjjclQtLv9hpbMmAlppZQo/k+nEBo+LSc4KZrv1EUX+Pp1vy2aSI49jpVFIMo8qrLVVB+hlHpXS69T+3lpPundDxk602Bhqc3CVPZeucuZhcVeTvLg4zG9xMk/3jIPhWuqvBXvYtgInVuFkCnP4ngO6l/rSkdsYaviHLt+xmJU8p1u7mPaM5wEcMXQyjhqIPGgogWhEHkMdEuOmIRDN3RAB0DTHl1RHRABMKv6MXlwEwIw+ftm8EBACDRHYzqcs5CHdlAJa++oBBqf2llHNnbzHfr+IFPUDfgKj6EVbU8D2UqM1BXEGRK7Y6K2lA1spNIWfyXZiubuG+5wVWhOIUCMbuNqey+2OXJpIo5BkH9eR9fd6PaxQNfx8ot8mrzti37pYrAyxOjjLlsVgm4PWcr4RM1QPlHEnVfxV96yNE7SmH9YYuvKqUgsPs4h1/KSzfRwtmMRosmMQFsPZqEr5ncUE3H6Nlexka+JfE9Sv1TLSjUA0Ik+6MZD9hCYQzd0QAVBukyIgAqDcg2QREAEwWeRlXSEgBFKCwFpe52ve0/l6LAM4i5tDpnl9yx4tMsXjl1rYlFwe4lyKtf6yyR+1aXnjcPO5zpnayJx/YyEr+U6awAPVFOItdzVTnRVsqydyrCkW7nbkcbk9hyypCZfwUzvk9fChL7pPRfl9HYXg1/6I4OfQhL+OEuUX8zlW8gLl3KqzY6E5TViCLYbGHCrS+nlWsYjvdLZbU8gMxlFkcPRdDeW8xz2UsVu3/hBuojNnxMxNDJiTQDQijzl3Il7Fm0A0d0MEwHifQmraEwEwNc8tHbwWATAdTlH2IASEgGEEVD3AOUxlLxt1azRU6P1dvuQNPtXNP4V23M0IrCb5zM/Dbg4xAk9AAftsfksBz2PBahjTVDNc5fXyV1cljzorOVxPzTglIvW22ulqsXGc1cZxFqv2320tVmkcEscDV01bVvmi+5Z7nFqEZugezvUv2gILZ9kcDLFlcZbVgYr4k+Yu8TukGhZoUcboqmlmUcz7OBgY00L/5Qv+xWc6G6rh0nTG0ZaimGw39rAqobCYx9jGWt3UExlLfy5p7HF5PYUJRCPypPB2xfUICERzN0QAjABwGk8VATCND9fkWxMB0OQHJO4JASGQfAJlWj3AO1HRH3Wjth7gDJrTOchBFf03kwV8zg7da2aqB6gcc7NJEwG97Nf5mctN5DMj+eBN5sE+r4eHnRW84KoidGJwsMP5QBeLTasdd5zv7zqRUAlRIjw1fMhKfF3jV8Nvrcfll3gZ3gVpgoUzbQ5N7Btic6Bq+gn38NhFOsvFBkoYjpfDukcLeJEcfhupOd38ZWzmGVbovubAxiRG0S0B9Uu/5F0+5Q3d+i3pxmgmYzM47TgmcPJwzAQ2b95MTU2N9n2je/fu8v0jZqLpYUB1kv/2229Rf2dlZdG1a3jN1EQATI/zj3UXIgDGSlCej5aACIDRkpPnhIAQyCgC2/iERTys23MhrTmHmWQRXA+whEru4j0OUql75hoGMZTjTMPOyVpKGA9U6HzK50Fyud40fprJkU0eN1Oc5bzbQKOQcPwtxqIJg5ogqCIGff+t/m6aoXXnnF4vn3pcWsOOZW4nH3mcVIUD02+OEl0HWR1a/T5Vx+9kiw2bpGdHSDHy6R72coizg6KKc7mLfCZEbtDviS/ZyYPMx+0XgavePN3CUE7n2Jhsh/PwLr5mHtNRKch1I5tCzuUh8mkejgmZk8IEtm3bRllZbUOwzp07k5OTk8K7EdfjRaCqqorvv/9eM1dQUEDHjh3DMi0CYFiY0n6SCIBpf8Sm3aAIgKY9GnFMCAgBsxFYw//xDe/r3OrEQFT9J0uI1N6v2cV05uneNNqwcBfDOYX2ptleDfM4zPkBKXtQyMtka6l8MkIRWOV2cp+znDX1NAqJhVpzP3HweD9hUImFBWkkZrm9Xr70ulnmrtE69a70uCirJ826Pp6qIcsAX3SfquHXx2rHkUaMYrlHiXrWSzUlnIOLj3RLZvEr7ftILCUFtnKQScymMiD282L6MY4ehm+xgoNaR/gqSvzWsjCSe2nHyYavLwskn8CBAwfYvbu27mPz5s1p1apV8p0SD5JOYM+ePezfX5tB0bp1a5o1axaWTyIAhoUp7SeJAJj2R2zaDYoAaNqjEceEgBAwGwFVD3A2k9nHJp1rA7ic7owM6e5cNvB3Vutey8HOVMbSifB+WUwEhyr+QRlXByzloIj/ksXQRLiQkmuo1J/PvW6+9LjY7HGjus6qvzd73QGxn/HbXhutvqA1KKW4s8VGrsmFL8Vrgyb41XbqVR17D0Yo+NmBvla7r1Ovg/5WBzkm33f8Tt98llRUXBlXUs2bOufs9NU6i1tiaH50gHImMIv9ARHK4+nBRfQzHIb6nj+X6exhg26t3pzPKZxn+PqygDkIqPRflQZcN5QA2KRJE2w2mzkcFC8SSsDtdnPo0CGUAFg3VPqvSgMOZ4gAGA6l9J8jAmD6n7FZdygCoFlPRvwSAkLAlATK2MN73B1QD9DBeGbQrJ7ulq+zlvf4Wrcf1RlYFa5vSYFp9lnBY1QwReePhUKKmYNdIl0iOifVQXin16MJgZvU337i4PdeNzURWQtvsvplsoOv+YhqRKKiBetqD3ayWJMSFacEvy1ejy+lt0YT/vZEKPipfakGKyq6TzXvGGh1pFUUZHina95ZFTxCBdN0DlrpoHX8tdI6ascrqGEyc1ARgP5DpfzezFkJaagUKuq7PacynDtjimqMGoo8mDQC+/btY+/evbr1lQAo9USTdiRJWVj9TFMCoP9o2bIlLVq0CNsfEQDDRpXWE0UATOvjNfXmRAA09fGIc0JACJiRwFbWsJhHda4V0ZZzeBBHiGgX1RTkLyxjZUDH3fYUM42xFKCSGJM/VCRPOXdSxXM6Zyy0pgkLsNUjcCbf89TyQKW9bvOJg4FRgz94PbreqfHamYpTObYecbCjxRrXGnnbPW5N8FMpverv7d5I+/RCD4uttlOv1cEgmyNjayLG6/yNslPNO5RyUcD3iwKKmY+dXlEvq3o7P8QCvmCnzkY3WjKRUWQloOnGj6xmCY/r1s+nJecyk2wTfXATNWR5MCICSvjZuXMnJSX+qeARmZDJaUiguLiYtm3bRiQEiwCYhhchii2JABgFNHkkLgREAIwLRjEiBIRAphH4mFdZzyzdtjsziMHcELIeoBM3DzCfb6itI1Q3TqQ19zES1c3SDMOLm1IupYZ3dO5Y6UoT5mOlpRncTFsfVBMMJQKqyMFAcVCJhkdbEMQPgUpa6qQakQQ0JFFdi9tarFgbSa/d4/Ww3JfSq2r5bY5C8FMpzaphh+rUq5p3tMzQJijxO1XjLdU2EBoLujYtFor4F1na16Mb6oOIv/IhSzmacqkstaVI+8CkCOMbMBxmJ+9zD06/RH7V+X0s02hBeJ0+o9u9PGV2Aqrxg0r/rKioCIoEM7vv4l98CKjIz7y8PC0NPJqGMCIAxuccUt2KCICpfoKp678IgKl7duK5EBACSSTg1uoBTmJ/wJvUgVxJN4aH9KyMaiYzm+26YvIwkE7cyJCEpLSFg8yrlbv/JS5W6KbX1vR6Hwuqz6qMRBOo8npR6cOqC7F/rUEluKl0YyNGLtDFTxys61R8wJfWq6L81nv16VDh+KFSlZXYVxfl195qDgE8HN9lDrjZxiGG4uVoDSzFJR7dw99iHW/zuQ6zEv2mM5Y2FBmO30U1s5jAQbbq1mqo1qvhTskCQkAIpA0BEQDT5ihj2ogIgDHhk4djICACYAzw5FEhIAQym0CpVg/wLpx+BeptOBjH/TTj2JBw9lGmFbU/GNAi4lx6ciF9TQPUwyFKGIM7oHahg1EU8SYWHKbxVRyBMq3W3tGoQSUSavUHPW72GxI3GBn1Vli0CD8V3aeEv84Wa0QpU5GtJrONJOChlBJG4eYr3TI5XEY+T4aMgA7Xn8V8x3Os1E3PwsZkRnNcAqKPVfThhzzLZpbpfOjCYM7kupj2Fi4DmScEhEB6ExABML3PN9zdiQAYLimZF28CIgDGm6jYEwJCIKMI/MjHLOEx3Z6LaOerBxg6Ve0HDmiRgFW4dM9dQn/GcqJp+LnZQQkj8LBN51M2f6CAv8qbYdOcVMOOHApoQqIiBusiCEsMEgebYuFMn9inovy6W6RYfopclwbdrC0R8HtqmK2b52Co1jE8lg8GPucnHmIhbr87acHC7QylL8ckBN9GFrCKF3RrNaEj47kfu0lqtSYEhCwiBISAYQREADQMbUoZFgEwpY4rrZwVATCtjlM2IwSEQDIIfMwrrA94Q9xYxEjoN7twK0PpX0/0YDL25mKDFu3jDejEmcvt5DM5GS7JmnEioIra78MbVGuwLnqwIoJ1CrBwhtWupfSqSL9eFltcG4tE4IpMNZBAGfdQxdO6FWwcTzELsdI06pXr+1DkMk5nNCdEbTeSB/ezhVlMxOP3wYxq6jSeByimXSSmZK4QEAJCoF4CIgDK5VAERACUe5AsAiIAJou8rCsEhEDaEHDj9NUD3KLb0xlcxfGcXe8+l7BJK3bvP1QzkEmMohutTMPHyWpKOBcC0pbzeZRcrjKNn+JI/AgocXCXL1JwU0AEoapDaAVOtzoY4ovyO9Vqx9FIs5D4eSeWkkGgir9Txk26pS00pQmLscXQGMMMZRGqKeN97qaMvbr9ncUtdGJAMnDLmkJACKQpAREA0/RgI9yWCIARApPpcSMgAmDcUIohISAEMplAKbt99QArj2CwkaWljjVtIH3tP3zOv1mnQ1dIttbtsh3FpkGqyuKr1D/wbzZhoZDXyOYXpvFTHDGegBIHLSL2GQ/aRCvUsITD/BJ0ZQscFPM/HJwZtafl1DBJa4x0SGfjDDpxQ4IaI3nxsIhH2M6nOh96MJ5+XBT13uRBISAEhEAoAiIAyr1QBEQAlHuQLAIiACaLvKwrBIRA2hH4kdUs4XHdvlTq2HgexEHoeoCq6PzzrGIR3+mea00B0xlHMaoPqzlGFa9Qxg0BzmRRzLsxiQDm2J14IQSEQCgCLr7VaoF6A0Q6VQc0hwujhubCzQMs4Gt26WycSGvuYyQqGjoR4wve4TPe1C3Viu6MZhJW7IlwQdYQAkIggwiIAJhBh93AVkUAlHuQLAIiACaLvKwrBIRAWhL4iL/zLXN1e+vKEK2DZH3DjYeHWcQ6fgp4rjmTGE2OiTruVjCTCu7X+WmhmGLmYqdnWp6pbEoIZCoBD/s5xNl40Jc3yOVW8pkaNRb1wcczrGB5gF0V9TydsRQkqOHGdj5jEQ+h/KkbORRzLjPJo1nU+5MHhYAQEAL1ERABUO6GIiACoNyDZBEQATBZ5GVdISAE0pKAmxpmMYkDfK/b3yCu4TiG1rvnKpxMYQ7fc0A35zQ6cDvDsGlV15I/1Bvlcm5G1QPzH1baao0AbHRMvpPigRAQAjET8FJDCT/DFVCnNIufUcj/YYnhe9KbfMo7fKnzsQm5WtRzKwpi9j0cA3vZxDym4aL6yHTVdXgkE2hLr3BMyBwhIASEQMQERACMGFlaPiACYFoea0psSgTAlDgmcVIICIFUInCYXVpBeadf04xw6gEeopIJzGIvZbrtjqAblzMA9ebUDMOLm1IupIb3de7Y6EYx87DS3Axuig9CQAhESUAJ/WVcSzWv6yzYOZViZmMhP0rLsICNvMAq3fPZ2JnCGLok6HtHCTu0xk3VlOr8OI3fcZJW61CGEBACQsAYAiIAGsM11aya4zf6VKMm/saDgAiA8aAoNoSAEBACAQR+YBVLeVL31QJaMo4Z5NKkXl4/UcJEZqGK4/uP33Eav+Qk03D2UumLDvooQCDoTzHvYSHPNL6KI0JACERGoILHqWCy7iGr1pZoCTbaRmbMb/ZnbNfKHXj8Um6tWLiTszkV9Sup8aOCg8xmYlDH3y6cqZVqiCWy0XjvZQUhIARSnYAIgKl+gvHxXwTA+HAUK5ETEAEwcmbyhBAQAkIgLAIf8SLfMl83tzldGM3kepuCqMkb2M0M5uHUddyF6zmTwXQNa+1ETPJwgBJG42aDbrksxlHIP7BIAf1EHIOsIQTiSqCad7UIX/3Io4lW57N31GttYb9W5qBa10kYrmAgKso5EaOGCuYwhYP8qFuuHSdzNndhk+9ZiTgGWUMIZDQBEQAz+viPbF4EQLkHySIgAmCyyMu6QkAIpD0BVQ9wDlPZxybdXjvSl6HchrWBGlof8QNPstQvTgatDuC9jKBXDBE48YbuZjslDMfDDp3pbC6hgKdMk7Yc732LPSGQjgRqWMBh/gBU+G3Pogn62Zwb9Zb3UMYEPqCEKp0NFdWsopsTMdT34wU8yC6+0S0XzocyifBP1hACQiAzCIgAmBnn3NguRQBsjJC8bhQBEQCNIit2hYAQEAJAJYeYpaWb7dHxOJGx9OeSBhl9wDe8xhrdnFwcTGMsx9DUNHxdfKNFAno5FCAC/oECHsWSoKL+pgEijgiBFCPgpYpyplDFM0Ge5zGdPG6OekdlVDOR2eygRGdjMF24jjMT8iGBBw/LeJIfWa3zoZA2jGUauRRHvT95UAgIASEQCQERACOhlb5zRQBM37M1+85EADT7CYl/QkAIpDyBEn7SRMAaynV76cfF9GBcg/t7lY+ZxXrdnGbkMYNxNI+hEH+8oTpZQQm/AL+OmmoNK10p4mVU8wAZQkAImI+Aiw2UciluvgpyLps/UsAzUYt0Ttzcz3zWs1tnuydttGhmOzbDgaiGJqt5mW+Zq1srh2LGMZ1CWhvugywgBISAEKgjIAKg3AVFQARA/T04FrgRGA909L2b2Az8G7SPJv3zEiK9QVbgBKC/708/4GQgy2doGLAkQqO5wMXAeUAPoAVoYRAqH+pD4H/AvEZs9gJuAEYA7UBrAamKKv0DeBECCqZE6GAD00UAjB9LsSQEhIAQqJeASjubzww8uP3mWBjGbRyD+lEUeqhi+SoVeHVAzaqONNEiAfOO/PhKPvza2mF/BF3isvLLQR4TyeUmKbCf/GMSD4SARkAJY1W8SDn3QkBqrno9i3Mo5FUsUX6PUd+7nmIZq/hBR7yD73tXfpR2Iz2+L/gvn/Ev3WMOcrVarM3pHKk5mS8EhIAQiImACIAx4Uubh0UAPHqUqsDI60BRPae70ScM6gsqhX8VlFD3SgPTIxUAzwD+D+jSgM3PocGqyVcAT/uJkIGmPvbteV/42wx7pgiAYaOSiUJACAiB2AhsYTnLtW/3R4eNLMYwmRYcV6/xGtxaU5BvA9KIe9GGexIURRPuzqv5D2Vcj1f7HEs/HAylgL9h0z7nkiEEhECyCHjYSynX4mROCBeyyed+crgy6sg/ZfR11vIeX+vsNyWXGYynRYKilzeykFU8r/PBip0R3ENb1GfvMoSAEBACiSUgAmBieZt1NREAa09G5QepiDkVUafeOTwILPb9/+9QjcJqhxIB+wKlURyoKrj0su85J2j5DnbgJN/XIhEAB4GWT5APWl6X+g1jAbDLFwWoPlYcA7QBBtbj61jgfS1LCi0/4n7QCpQ08+33V77nVgBDQRc6EsX2gx4RATAeFMWGEBACQiBMAp/zH9ZpAe1HR20q2gwKaVWvlVKqmKTV0Tqsm5PIOlphbhE3WyjlT7hYG/SIhWZaSmE254RrTuYJASEQRwI1zKeUq/EGfKCglrDRk0L+jl1LaIl+zGUDfw+ot5eDnamMpZP2K67xYytrWcKjWqTj0WHhLG6iU72/lhvvl6wgBIRAZhMQATCzz79u9yIA1pJYCgzxpbuqv1cFXI87gId9X5sKTIni+qjU3wGAiqpb58t5UHYm+2yFKwCqasGqjZgKY1DpySp1V5/jcNQ5B6DExsChvq4KO3UF7R2daoOmbPkPlfJ8re8LlzYSvRgFDkQAjIaaPCMEhIAQiJKAejO6kufYFFBtopj2WjH67AYaZuyhlAnMSmonzXC37cVJBQ9QyWMhUoIhhz+RzwNYyAvXpMwTAkIgBgK1jT4mU8WzIa3kcC35TMVCTgyrwFq28ihLdMKbDQt3MZxTaB+T7XAf3sMG5jEDd8Cv36rxkmrAJEMICAEhkCwCIgAmi7y51hUBsLYmX11rrr8BV4c4IhUlpyL2TvTV2FOhEqGEtUhPNxoB8HHgFp9YqYo3KTEx0nE+HClKcg8wM4QB9c5oO2jtHpXg2DPSRRqZLwJgnIGKOSEgBIRAYwQ8uFjATHbypW5qG3owgnuxoT4fCj22sJ8pzKE6oDTs5QxgJN0bWzrhr9ewnDKuwMNPQWvb6E6h1iCkLgg/4e7JgkIgIwioTt2lXIY7ICVXbd5CKwp5jixGxsxiE3uZylxU2QL/cTVnMIzjY7YfjoGDbGMOk4OaLp3ELziN34djQuYIASEgBAwjIAKgYWhTyrAIgPAAoEQwNVSEXp0YGHiQd/tSg9XXR4fRXCOcixCpAKhSlFWDjybA28BvwlkkxJw34MhvIm19qcOhTD0HXOV7Qb27UynQ8RoiAMaLpNgRAkJACERAoIYKZjOJQ2zTPdWFwZzJdQ3W3vqM7TzMIlSR/bphwcIdDKOP1jvLXMPDAcq4kRreDeFYFvlMI4drpEGIuY5NvEkDArWNPp6nnPuCOnSr7TkYQyHPYqVlzLvdxWEmMpvDAQ1Ffs0p/KbBUtgxL33EQDn7mMUkKtivM3ocQzmDq2OqaRg/L8WSEBACmUxABMBMPv2jexcBEJYBg3219JSw5qrnaqhaeit9r03zS92N5SZFKgD+DI68i/mtrzuxWr8AUEKeSufdEzLnSe/lVl+X4299nYnr24P6uFKJhWpc5lfDMJY91z0rAmA8KIoNISAEhEAUBMq0N6sTqOSg7ulTOI/eqCDx+sdCNvJ8QKWMbOxMYhTHxeHNfBTbafARJURU8xpl3AlUBM11MFKLQrI2UAcx3j6JPSGQzgQ8qKIB1+BkXoht5mgp+DlcHhdRTIl+qkbpzoAapWfRlWsYFJc1GjurasqYzWRKtMSZo6MDpzGM27Fia8yEvC4EhIAQMJyACICGI06JBUQAhL2+xhmNdcxVqbAHfKf6FjTyDim8449UAFSNOu71mT4GtNaNyoaqW1g3VCOQf/maeqi9BQ4lFtY1MVEhEb9owFXVHOVT3+uPgPbuKV5DBMB4kRQ7QkAICIEoCOxnC3OYgotq3dODuAYVtdLQ+Def8R++0E0pIofpjKUNRVF4Y/wjLjZqDULcISpnWGjhS0VUAf4yhIAQiJZADXM18c+r/XqtHzZ6+Rp9qIo6sY8aXExnHhsD1jqZttyldSlXFXyMHS5Ua5MZ7EF9pn50tOR4RjERO9nGOiDWhYAQEAJhEhABMExQaT4t0wVAVW240nfGH0CjrQFVh2DVefejBrrrRnJlIhUA3/EJdqr+4K3AU1oJldBDFT1S1Yb1hZ7gBF8DEPWUavRxfQMOt6BWIFXjTb+04XD2qAS+hobqULxGTdi2bRsdOjQ2PZwlZY4QEAJCQAhEQmA7n7KIh3VF8y3YGMk9tG2gPp6KqvsrH7I0oH9UW4qYxliUGGjG4UUlQE+jkj+HdC+Hq8lneszNCMy4d/FJCBhJwEsl5UyiClU9JnjkcB35TInbvy0PHp5kGav5UbfYsTRlCmPII8vI7Wq2PbhZwuNsC+g6Xkw7xmjlBQoN90EWEAJCQAiES0AEwHBJpfe8TBcAVeERlTKrhoqa+10jx70btBwh1RAkHpXDIxUA/bsVq7PzAKor8WuA8k1FBKqOxZf49rEFtOIndRF/6suqcYjqRKzGQ4CqbVjfUDUH6/Kl3gfOjeCfw9ECUY08JAJgBFRlqhAQAkIgzgQ2MJfV/F1n1UGu1hm4KSrYPPRw4eEhFvAFO3UTjqclExmFSgs266hhMWVciQcVNK8fNnr6GoTEJ0rJrAzELyEQLwIuvvY1+lA94/TDQmtfdO2IeC2n2XmNNXyg9ag7OpqTxwzG0Uz7rN7YoT4EWcXzfMci3UJ5NGMs0ylAfYYuQwgIASFgHgIiAJrnLJLpSaYLgKpiuaqHp8b/ARc1chh1tfM2+8S2WM8uUgFwLdDHb1Hlr/I7cKhuxlf6vqjSdlX6bt1Q9Q5V3UM1pgOTGtiEyp2oa6e2EIjktzcRAGO9HfK8EBACQiBBBNbyOl/znm61fFowjhnkac3gQ48KarTOwD8G1BLsR0duZSjWBKTgRYvIw17KuI4aZocwEd86ZdH6KM8JATMTqG308Vct8o+AUgLK7yzGUsAzcWn04c9hFt/wam0SyZGRi0OLPj6mge9X8WT5Gf/mC/6jM6naCo1hSoMfnMTTB7ElBISAEIiEgAiAkdBK37mZLgCmWgTgCmCQ7zqq4kun1HM1mwMqBVgVHlE1/PxFw0RFADaW0yspwOn7fUV2JgSEQIoR8OJhKU/yI6t1njejs/aG1tFASu8BKpjALPZTrnt2NCdwKf0TUoQ/Wty1AsZLlHMPBHQQNVLAiNZfeU4ImIWAh92+Rh/zQ7ikBPQHyeFPcf/3r1J+n2CJXx9ysGHlXkbQS+uHZ/zYwDxW85JuISsORnEfrZHIYeNPQFYQAkIgGgIiAEZDLf2eyXQBMNVqAKowhTG+a/ioL923vltZJxaqCD6VyqvqBqqRqBqAjf1rkSYgjRGS14WAEBACCSSgitnPYzp72ahbNZxOlts4qHXirDjyo6bWxIX04Vx6JXAX0S3lYr0vhVFV+NCP2hTG58ni7OiMy1NCIM0IqKjZUq7Fy76gndk4ydfoQ/26Gd/xLXu0ph/OI8kptfav40yG0DW+i9VjTX1IsoQnwE+CtGBhKLdxjFZlR4YQEAJCwJwERAA057kk2qtMFwAV71TqAvw8cIXvktzkawJS3535p19NQxVt2lJRwQAAIABJREFUp2oEqiFdgBP9r0zWEwJCQAikCIEqDjOLCZQe+ZFR63h3RnE6lzUYzfM1u3iA+ajagP7jRoYwiM6mJ6BiAcuZTBXPhvQ1lxvIYzIW6epp+rMUB40hUNvoYwJVqF9Hg4eR/0Z2UKJ9yFAakGr8W07lV5xszIYDrO7iG+ZzPx5culcGcgXdIqqSkxB3ZREhIASEgI6ACIByIRQBEQBr6+Gpungqd6kJBPxUP3pPBgIrff87DZgchysUaQ3Am0H72FEN1QW47r9DufJv4De+F1Sqs//HtHW1DL/1RQTWt5XfA2/4XrwMeDkOe64zIRGAcYQppoSAEBAC8SJQwg5mM5FqVOP7o6Mvf6Qn5zS4zIds4SmW6+bYsXIfI+mB+izK/EPFQZZyNV7t80H9sHEKhbyEne7m34h4KATiSMDFl74o2Q1BVq20oYC/GRYlW0IlE5nF7oDvScM5nisYGPc041DYDvADc5iCk0rdy6fwa3of+XU7jsDFlBAQAkIgzgREAIwz0BQ1JwIgPABa8R81BkBAAaSjB6u65T7o+9/RwLw4nHmkAuBpwCe+dZ8GbmjABzVPza8CrR2af0iGEvWUuKeGKpgS3Aax9rXngKt889S7HX1eWGwARACMjZ88LQSEgBAwjMBuVJWr6QGRLirN7RaO5fQG1/0fX/GPIz+qaqfmk6UV6O+gfc5m/uFhjyYCOglV3yyPAh4im4sTIjyYn5Z4mM4EVH1QFRWromOhJmirWYyngKexGtT1thoX05jLpoB04960507O1ur/GT3K2MMsJlLJId1SKupvAJfL9wGjD0DsCwEhEBcCIgDGBWPKGxEBEPr7iX6qe+7VIU5V/XahCgOpyr7qp38rv5p6sVyCSAVAtdb3QCfgR9AKntR16fX3Q+VabQLtt6JQ3XvPB/7le0CJnzNDbCIP2A5aO7VvgJ6xbDTEsyIAxhmomBMCQkAIxJPA93zIMp7SmbThYDSTaEm3epdSjTVeZjVzUUHmR0cL8pnOOJqhfryYf9QKH89RzsR6hI+fUcBfsNLM/JsRD4VAFAQ87PIJ4epXycCRSwEzyeZSwwQwDx4eYwlr2aZbvDPNmMIYcnBEsavIHlFlEWYzicPs1D2o6v2dxa2m7nQe2U5lthAQAulOQATAdD/h8PYnAmAtp7o0YFXUYwiwKgDfHcDDvq9NBZRw5z+GAot9X3gVuCQ8/JqdulTiYcCSMJ67Bo4UKArlix14z69ZiEoDfjvArvqNab1PQDzsixTcHDDnGeBa39cuBV4Jw7dIpogAGAktmSsEhIAQSAKBL/l/fIoqKXt05FDEWKZT1EBKb31v3Dv53rjnJuCNe7xwNZz62I4CXiRLqyQiQwikD4FqPqCM6/CyP2hTiUiFr++DhJa+DxKaJuCDBCdVWiT0Pu0z9aOjFSdoHX9tZKXPgctOhIAQSHsCIgCm/RGHtUERAGsxnQp86OuWq4oeqbRgJeip7rm/A6700VQpsH2B0gC64QqAgcLgL4Cf+2w9BPgXVlG/bahOvoFDCXxLgTN8L7wJKNFxj0/QuwVQ9QrVmAVawSZvCDvjfEKhihJUDUJmAB/7Iv5Uo5HzfM8oH9T+QkUahnXJ6pkkAmAs9ORZISAEhEACCKg34at4ge+0YPKjo4i2jGMG2VpfqdBDpe6pjp3fBdTSO5l23MVwVG3AVBleKijnPqp4MYTLFnK5lTzuw5JCwmaqsBc/E0ug9q7fSxUvhVw4lxvJY5LhzXDe4yteT2IpAdXoYxGP8BPrdBya0JGxTCVLq64jQwgIASGQOgREAEydszLSUxEAj9I9F3gdKKoHuBL/xvtSawOnhCsAhhLi6jvfhiIJmwP/8xMBQ9mYDfw2hFjpP1cJfaqWYH0fYSpBUO3Zv4FIvO6jCIDxIil2hIAQEAIGElBvhBfyMDv4XLdKbRTMBFRacH3jMFVa8X6VSOg/zqIr1zDIsNRBo3DURkVdi5cDQUvY6aM1CLFp1TlkCIHUI+DiC1+jD336vtqJlba+Rh8qYcXYsZLv+bOWnHN0JLKZkPrg40OeZXOAD/m00KKf8yXt39gLINaFgBAwhIAIgIZgTTmjIgDqj+xY4Caf6KUEKlXtWEXiveUTyirqOeFEC4C1v4vVphr/Aejli9xT70iUaKfEw/+EeRvVszcCw4F2vm7IKj34H6CFOqi0aCOGCIBGUBWbQkAICAEDCKjOl7OZzEGt/OzR0ZlBDOZ6LA1E8+3iMBOZjRID/cevOYXf0NsAb4016WYnZVyF80jlj6PrWSggn0fJ5oKUEzeNpSbWzUxA1bus5GkqtMo0ziBXszjH1+hDff5s7FjPbmYwD5eud536RXUIg1Alro0fn/APvtI+Zz86VLTzWKZRTHvjHZAVhIAQEAIGEBAB0ACoKWhSBMAUPLQ0cVkEwDQ5SNmGEBACmUGgnP3MYgIVAdFvJ/FLTtOqZdQ/NrGXqcylJqCaxFWcwdkcn3IAawWTv1CBKsUbSjD5NQU8gTVFuh6n3AGIw3EjUCtoq47Xi0LYVB2vVaOPSxIiaG/nEJOYTXlAt+EL6MPPtc+6jR/f8AFreE23kKr1N5qJDTY/Mt4zWUEICAEhEBsBEQBj45cuT4sAmC4nmXr7EAEw9c5MPBYCQiDDCRzgBy0S0BUQzTeQK+mmBZLXP9aylUdZgkqvqxtWLNzJ2ZyK+pGQesPFZ76USX2TALUTK8dQyAs4jpTsTb39icfpTaCa932NPoJT2m301lLa7Q10/I4nnQNUaOLfXlQp7qNjJN35E6cnRIDcwocsD+h8rqKbz+YOOnBaPLcrtoSAEBACCScgAmDCkZtyQREATXksGeGUCIAZccyySSEgBNKNgCqKv5CHUFFwdUO9SR7O3bTnlAa3O48NvMRq3Zxs7ExhDF0wPr3QiLPwUk4Zd1GtVd8IHFZyuYs87sSC6uElQwgkn0Bto497qOLvIZxRTW1uIo+JWBLU5XYbB5nJQvZRrvOnDx24jWHYEtAwaAdfsJCZeAKilAdxDcdpvfBkCAEhIARSm4AIgKl9fvHyXgTAeJEUO5ESEAEwUmIyXwgIASFgEgIbWaB1B/YfDnIZw1Saocrp1j/e4BPe5SvdhGJymMF4WjXQVdgkW6/XjWrepYwb8HIwaI6d0ynkRWx0Mvs2xL80J+Dic0q5FDffBe3USjsKeJ4szkoYhS/ZyWMspjIglb4rzZnEaHIS0Fl7P1uYw9SgyObT+D0n8YuEsZCFhIAQEAJGEhAB0Ei6qWNbBMDUOat081QEwHQ7UdmPEBACGUXgE97gK97V7TmP5oxjRoNdMj14eYYVrGCL7tl2FDOdsRSQnbIc3WynlCtwsSJoDxaKyOcJcjg/ZfcnjqcugcbrVv6MAp7CmsBI3KVs4m+sxO1XFkARbkuRFhXchFzDgR9mF7OZRBUlurVOZCz9uDghqceGb1IWEAJCQAgAIgDKNVAERACUe5AsAiIAJou8rCsEhIAQiAMBJSgs4y/8wEqdtWZ0YgxTUBGB9Q0Xbh5gAV+zSzflBFpxH6PIwhYHD5NjwoubSh6ngvshIJ1QeZTN77VOwVaKkuOgrJpxBNzs8HWuXhJi76rRx8Nkc1HCxC5VB/RtPtf+BI5utOQOzqaIHMPPqZJDzGISZezWrdWJgQzhxga7mxvunCwgBISAEIgzAREA4ww0Rc2JAJiiB5cGbosAmAaHKFsQAkIgswm4qWEe97OHDToQ7enN2dyJtQEhT3X6nMxstnFI9+wAjuUmzkI1CEnl4WQNpfwJD98HbcNKZ63BgoN+qbxF8T0FCFTzP8q4vp7U9NN8qemJ68StxP+/sYplbA6idzrHcj1nkpWAepk1VDCXqajGRv6jLb20eqa2BKQep8D1EReFgBBIIwIiAKbRYcawldT+7TqGjcujSScgAmDSj0AcEAJCQAjETqCKUmYzkcPs1BnrxggGcHmDUUWq6P9EZqE6gPqP8fTgojQQxzwcppzbqeafIUDbyOM+crkVSwpHPMZ+g8SCEQRqm9PcTTWvhDCvGn3cot2/RDX6UE4o0f9xFvNVQOSveu1cenIBfRIi/Ltxag0/dgbUIlXRy6OZTBZ5RhyJ2BQCQkAIJJWACIBJxW+axUUANM1RZJwjIgBm3JHLhoWAEEhXAqqO1iwmUE2pbot9uIBe/LzBbf/IASYzJ6gJwMX0Yxw90gJZNW9Rxs14ORy0HzuDfFFY6seiDCEQOwEXn1HKZbjZFGSsttHHC2QxJPaFIrCwlzJmsoDtAbX2LFi4lP6M5oQIrEU/tbZ0wVP8wCqdkQJaMY7p5NIkeuPypBAQAkLAxAREADTx4STQNREAEwhbltIREAFQLoQQEAJCII0I7GEjc5mGJ6Cb51ncjKqp1dBQnUAfZL6uGYD6BeUWhqLSAtNhuPlRSwl2sTpoOxaaUMBfyJaOo+lw1EnbQ22jjz9TwXQI+HeonMriFxTwZ6w0S6iPm9nHwyziEJW6dbOxcxND6EPHhPijag+u4VXWM1u3Xg5FjGU6RbRJiB+yiBAQAkIgGQREAEwGdfOtKQKg+c4kUzwSATBTTlr2KQSEQMYQ+IGPWMoTuv1acTCaCbRqJMJH1QRT3YH9hwMrE7TYoFZpwdCLi0oeoYKZgCdoT6oRQwEPYaEgLfYrm0gcATc/UcaVOFkWYtF8CniEbC5MWKOPOic+YRt/ZhnVuHR+qQ6/dzGcLgnsOvwl7/Ipb+j8sJOtpf22oGviDktWEgJCQAgkgYAIgEmAbsIlRQA04aFkiEsiAGbIQcs2hYAQyCwCX/Een/C6btPZFGrpdUW0bRDGO3zBm3ymm1NANtMZSzuK0wakk1WUcjketgbtycZxFPJ37JyaNvuVjRhLoJp3KeOGehp99PGlmB9nrBMhrM9lAy/zMSryzn90oJi7GUHLBArdm1jKhzyr80PV3hzOXbTnlISzkQWFgBAQAokmIAJgoombcz0RAM15LpnglQiAmXDKskchIAQyjoB6s7+al/iW+bq9F9JGEwFVul19Qz37Ah+xkI26KUoomME4VNRQugwPhyjjFmp4O8SWHOQxiVxuxII1XbYs+4gzAS9llHEX1bwWwrJq9HEbedyLJcEdbT14+QdreZ9vgvzqRRtuZRj5ZMWZRv3mtvMZi3gYlSLtPwZzPV0YnDA/ZCEhIASEQDIJiACYTPrmWVsEQPOcRaZ5IgJgpp247FcICIGMIeDBzWIeZTufBgh53RjNRGwNvPl34+FRFvMp23XPqlTByYwmJ8FihpGHpgRP1SG4nNtQYk7gcDCUAp7H1kjkpJE+im1zEnDyiVZT0sPmIAetdKCQF3BwZsKdr8HF06xgNT8GrT2ErlzFQOwJ7Hq9l++Yx3RcVOv86csf6ck5CecjCwoBISAEkkVABMBkkTfXuiIAmus8MskbEQAz6bRlr0JACGQcASdVzGEyB/hBt3fVEGRII5FtVTiZyly2sF/37Km05w7OxpZmUXFuNvsahHwSdE8sNKOAZ8gWsSLj/g2F2rAXN5U8QQX3Q0BdPTU/i19RwJNYaZpwXoep4hEWsZG9QWv/mlNQf1TX30SNEnYwm0lB3cl7ci59uTBRbsg6QkAICAFTEBAB0BTHkHQnEvdTOOlbFQdMRkAEQJMdiLgjBISAEIg3gQoOMIsJlAcIeb34OX24oMHlVMfQicxiT0Bk3HCO5woGJlRIiDeX0MKOkwoeoJLHIKBmmpqfw5/I5wEs5CXCHVnDhATcbKeUK3AFNMtRrqrGMfk8SjYXJOXfxg5KmMlCdlOqI2fDwlWcwVkktgZh7feeSZQHiJEq5fdMrpXUehPeb3FJCAgBYwmIAGgs31SxLgJgqpxU+vkpAmD6nansSAgIASEQROAgW7UoHCeVutcGcDndGdkgMSUqTGI2pQHpe+fTm/PStHB/Dcsp4wo8/BTExkZ3CnkZOyfJTcswAtW8Qxk34uVQ0M7t9PU1+khOJ9sN7NEi/8oC/p3m4dDq/Z2U4BT2GsqZwxTU9x7/0Z7enM0dWLFn2O2R7QoBISAEQARAuQW1HxjKEALJISACYHK4y6pCQAgIgYQT2MEXLGAmKn2xbqhUwLO5iw6NdLv9lj1MZx5Ov2eVjWsZlPCookSB83BA6+paw/9CLJlFvtZM5ZqkRHolioGsU0vAQynl3El1QGft2let5HI7edyd8EYfdeezku95lhU4AxpstCCfuxlOxwSnIrupYT4PsJv1uivUnK6MZhIOcuRqCQEhIAQykoAIgBl57EGbFgFQ7kGyCIgAmCzysq4QEAJCIAkEvmMxK3lOt7KdbMYwleZ0btAj1VDgCZboEmNVauHdjOBk2iVhN8YvWdsg5FWtyytUBC3oYCSFPIeVVsY7IyskhYCTtb5GH1uC1rfS0dfoY1BSfFP38398xRsBjX6UM51pxl0Mp2mC09U9eFjKE2zlYx2TItoylmkNdiBPCkRZVAgIASGQQAIiACYQtomXEgHQxIeT5q6JAJjmByzbEwJCQAgEEviMf/EF/9V9OZemjGcG+bRoENhs1vNKwBv7XBxMYQydaJa2sF1spJTLcPN50B4ttKSQZ3EwWqIB0+AGeNiFU4umW679cfNdyF1lcZ6v0UeTpOxadep+mdXMZ2PQ+qfRgZsYkvBu3UqQ/IiX2Mj8gO8vTRjLdApFKE/KXZFFhYAQMA8BEQDNcxbJ9EQEwGTSz+y1RQDM7POX3QsBIZCBBNSb9BU8zZaAJgZNOUaLBMxqJGLo/1jD+3yjI9eUXGYwHpVymK5DxQJWMI1Kngq5RSttsTMABwO1PzZ6YZE6Z6a/Dh52Bwh+wYKa/yZqG308Rja/T5rgW4mTJ1nKuhA1KkfSnUvpn5Qu3Z/zNut4S3fmDnIZwxSa0cn0d0EcFAJCQAgYTUAEQKMJp4Z9EQBT45zS0UsRANPxVGVPQkAICIFGCLhx+mp06YW8dpzMcO5qsEC/By9PsYxV/KBbpQNNmMZY8slKa/41WqOFq1CRYg0NJRTZ6a+JgXZNFOyLJY0F0lQ59EgFP/992enna/TRJWnbPUAFD7GQHzgQ5MOF9OEceiZFmNzIAlbxgs4n1ehjJPfShp5J4yULCwEhIATMREAEQDOdRvJ8EQEweewzfWURADP9Bsj+hYAQyFgC1ZQxm4mUsEPH4HjOZiBXNigi1ODmAeaznt26Z3vQhnsZgQNbWnP1sJcyrqOG2RHs04ad3n5RggOw0jqC52VqNAQ87AmI8Ps2YjMWmpDL9eRya9IafSint3KQmSxgf0A9SgdWrmMwA5MUZbeVNSzhMVR08dFh4SxuphMDIuYtDwgBISAE0pWACIDperKR7UsEwMh4yez4ERABMH4sxZIQEAJCIOUIlLKHWUygihKd76fxO07ilw3up4xqJjGbnwKeHURnrmcwVtL71xsldlTxMpU8hCdARA33IljpisOXNqyiBG0cn5TorXD9TYV58RH8Cn1Rm4NxMBg7pyQ9nfsLdvA4S1Dpv/6jkGzu4Gy6J6m+3m42MJ8ZqKhi/3E6l3ECo1PhyoiPQkAICIGEERABMGGoTb1Qev+GbGr0Ge+cCIAZfwUEgBAQAplOYC+bmMtU3NToUAzmBrpwZoN4VBzcBGZxiErdvJ/TiwvokxFolRDoYRNOVml/XHyEm01R7d1Cc00QrE0ZVqnDvbGkeUp1VKD8HlLRmPqmHRsiNmnBfIKf/yYW8x0vsAq3LsIO2lDIPYygDUUR7zkeDxxkK3OYQg3lOnPqwwP1IYIMISAEhIAQ0BMQAVBuhCIgAqDcg2QREAEwWeRlXSEgBISAiQj8yMcs4XHwExhq63fdRxt6NOjp9+xnCnOowqWbN4YT+D2nJbwTqRmw1kahfXREEHSxDgL4hOdnDnb6HmksomoKWikO79E0nRUfwU/VZzwDB2fiYIgpIvxCHZcSl99iHf/hi6CXu9FSi/wrIicpJ13GPq2EQEVALcLjGcZArpJI1qSciiwqBISA2QmIAGj2E0qMfyIAJoazrBJMQARAuRVCQAgIASGgEfiGD1jDazoaWeQzjhkU065BSqobqWpMoBqE+I+W5HM5A+lN+4ym7KUcJ5/gOhIl+DFeSqNgYtG6C9d2Gq6NFLShfpSn76gV/D7EyXLtj5v1EW+2tiFLneCnUnpVZKU9YjuJfMCFm+dYyXK2BC07gGO1mn9ZSaq1WVs/dBIlAV2IO9CHYdyGNUl+JfJ8ZC0hIASEQDQERACMhlr6PSMCYPqdaarsSATAVDkp8VMICAEhYDABFW30Ma+wgTm6lQpozTimk9tI5JlKU1SCRagxmC5cRL+kRSsZjC5i817cuPnaL214JR52RmxHPWClo1+nYSUInogFa1S2zPBQpgp+/uxVfc3HWMI3ITpNn0tPLb0+WTU2XVQzjxnsZaPuurSkG6OYgJ1sM1wj8UEICAEhYEoCIgCa8lgS7pQIgAlHLgv6CIgAKFdBCAgBISAEjhDw4NG6eW5jrY5KC45jNJOxN1KPbh4beI21OHEHUVXNCi6mP2fSWdIDA+jU1hHc6ksZrq0lGE2kmzJroRg7p/s1F+mDhVzT3vJawW+lX4TfN1H4mo8jKMLPEYWd5D+yhzKt029gcx0LFi6jP6M4IWlOenCzmEfZzqc6H4ppz1imkU1B0nyThYWAEBACqUBABMBUOCXjfRQB0HjGskJoAiIAys0QAkJACAgBHQEnVVpTkP0BqYfH0J+h3NJodNlODvM8q0JGL6mFVDrw5QygpYgFDd48Dwdw8bFflOAnENCoJbyr68DOqX5RgqdjpUV4jxowSwS/+qFuZp+WSl9ClW5SNnZu4SxOTWK6txKpV/I3NrFY51sezbQI4fwk3ikDrqmYFAJCQAgYQkAEQEOwppxREQBT7sjSxmERANPmKGUjQkAICIH4EajkEB8wgXL26oz24Bz68cdGF1JiwWI28TprKQ8hWilB43ecimoUYk3hdNVGQcRxgldrs/KZnyC4Gi8Ho1rBRndfp+EBmjBoNTAq08O+gBp+0Ub4qbqHdU07VA2/1Izwq+/A1rKVp1hOdUCzmKbkcifD6ULzqM46Xg99ypt8yTs6c6pG6Bim0pSO8VpG7AgBISAE0pqACIBpfbxhb04EwLBRycQ4ExABMM5AxZwQEAJCIF0IHGI7s5iIkwrdlk7nMk5gdFjbPEgFL/Mxq/kx5PzjaMFVnMExNA3Lnkw6SkAlDbv59kinYZU27OGHqBBZaH2k07ASBG2cFHWTjKOC3wpf046vo/BJpfTWCX6qacepaSf4+UOZw3peYQ1KOPcfHWnC3QynRZKjZdczW6sP6j9sOLSaf62SmJIcxcWSR4SAEBACSSUgAmBS8ZtmcREATXMUGeeICIAZd+SyYSEgBIRA+AR28hULeECTmuqGqkU2jDvoSJ+wDa1hKy/xEQepDHrGhoWfcxK/5OSkdTUNeyMmn+hmBy4+OhIl6OZLwBOF10qA6++XNtwX1Uk31PCwPyDCTwS/cIGrrtkqSvYDgqMiT6IttzKUvEbqboa7VrTzfmAVS/kz+ImT6nvAUG7nGPpGa1aeEwJCQAhkJAERADPy2IM2LQKg3INkERABMFnkZV0hIASEQIoQ2MxSVvCszlvV6XMMU2hOl7B3UUENb/AJ8wO6h9YZaEcRV3IGJ9I6bJsysWECHg7jYg1OPsKFai6yBgIiOsNjaMPOyb604YFa72EndRF+X4VnQjcrLyDC77S0jvALBUil+j7Ncj5ma9DLZ9GVKxmIHVsUbOP3SO0HAA/iCUhLHsiVdGN4/BYSS0JACAiBDCEgAmCGHHQj2xQBUO5BsgiIAJgs8rKuEBACQiCFCKzjLT7nbZ3HuTRhHDMooGVEO1nPbp5nJTs4HPK5kXTjAvokPfIpok2lyGQvTlx84RMDa7sNewPqPBqzFRH8/LmWUMnDLGIT+4Jwn09vfsXJSe+UfYAfmMMUnAFRu705n1M4z5hrIlaFgBAQAmlOQATAND/gMLcnAmCYoGRa3AmIABh3pGJQCAgBIZB+BFRtsg/5Kyoa0H80oQNjmYZqBhDJqMHNO3zBu3yJO6DumbKjGh/8iQH045hIzMrcCAmoc/Ww2a+xyEe4+S5CK6GmK8FPNRhRTTtUDT8V4ZcVB7upb2IHJcxkAbsp023GhpWrOYMhdE36JkvZw2wmopoB+Y/ujELVAFUpwDKEgBAQAkIgcgIiAEbOLB2fkJ+i6XiqqbEnEQBT45zESyEgBIRA0gm4cWnpgLvQp3y2oRcjuAeVJBrp2MpB/sbKkJFQytbpHMul9KcpeZGalvlREvCw1y9leBUu1kFACmiwaRH8wsGtol8fZTFlVOumK3q3MYxetA3HjKFzqjjMbCZxmJ26dY7ldIZws3TtNpS+GBcCQiDdCYgAmO4nHN7+RAAMj5PMij8BEQDjz1QsCgEhIATSlkAN5cxiEiVs1+2xK2cxiGuiigzy4GEOG3iTz1B10QKHEkcupC9nc3xU9tP2MBK0MS8VOPnkSNqwi7WAGzt9teg+ifAL7yA+5HueZQWugKYsLcnnbkbQgSbhGTJwlkr3nct09rNZt0prejBSE/klitNA/GJaCAiBDCAgAmAGHHIYWxQBMAxIMsUQAiIAGoJVjAoBISAE0pdAGXuZxYSg9MBYa4PtoUzrFLyOn0LC60EbrTFCW4rSF67sLO0IqDTrd/mKf/Jp0N660Jy7GE4TcpO+7xJ+YjGPof72H005Rmv4E2maf9I3JA4IASEgBExIQARAEx5KElwSATAJ0GVJjYAIgHIRhIAQEAJCIGIC+9jMXKbiCkhlPJPr6crgiO3VPVBba/B7XuFjSgNsqzkObPyaUziHntixRr2OPCgEEkHAjYeXWM3CEJ2v+9CBGxlCDo5EuNLgGj/yMR/ybFDDj3xaMo5p5NEs6T6KA0JACAiBdCAgAmA6nGLsexAZ3zJ/AAAgAElEQVQBMHaGYiE6AiIARsdNnhICQkAIZDyBbXzCYh5BiXZ1w4qNEdxLW3rFxOcwVbzGGpazJaSdY2nKVZxBV1rEtI48LASMIlCJkydZGjKidTQncAn9kl5PT6Xff8abfMW7QRiyKdQa/BTTzihEYlcICAEhkHEERADMuCMPuWERAOUeJIuACIDJIi/rCgEhIATSgMB65vAxL+t24iCPcUxHdQiOdah04BdZxV7Kg0ypTqTjOZHf0NsUUVSx7lWeTx8CByhnJgv5kYO6Talf+P9IX8bRI+n1LFWzj2X8hZ18EQS+GZ0Yyq0U0jp9DkV2IgSEgBAwAQERAE1wCCZwQQRAExxChrogAmCGHrxsWwgIASEQLwJreI1v+EBnLp6pg1U4+RefMZv1frGGR5drxf9v7z7ALavre/+/mcY02lQGmKEzINKbQxG4tsQWW5TEhhex12iM3pvcxPz/N15N1CRiNxHEEqPGlhtMFAGpMiBSpPcBBqbBMMP0Ge7z3WedYc8++5zd1tp7lfd6Hp4B9l5r/X6v7z5z9v7sX5nOuSziSEcqpVVSr9ODwAOs4pNczErWNQTj43kvp9V2th70sZJ7a+v9PcWKEU05gNNYxLlMYOdBN9P7K6CAAqUTMAAsXUm76pABYFdsnpSCgAFgCoheQgEFFKiywNNs41I+y4NcuwPDZHZlEW9nAcenwnMXy/kKV/Ngw6iq4YufzoG10VW7MDmV+3kRBToVuJGH+SyXEdN/649d2JmP8DwOYXanl0z9+XdxCdfwT2xraONOjOdE3sxCXjjw0Ympd9oLKqCAAjkRMADMSSEG3AwDwAEXoMK3NwCscPHtugIKKJCWQGwG8p/8NSu4e8QlD+Z5nMCbmJhCMLeFbfyUW/gBN7KZbSPutSuTOZsTOZn9DDHSKq7XaUvgEu6qBdTbGsapxq7VH+V57Dng3au3srk2Xf9OLh7RnynswRl8kDksbKuvPkkBBRRQoDsBA8Du3Mp2lgFg2SpanP4YABanVrZUAQUUyLXAelZzEf+LNTw6op27sCen8R5mc3AqfXiE1XyZq7idZU2vdyz7cA4nMYvpqdzPiygwmkBsghNT1H/IzSOecihz+DBnDnxU6lOs5FI+0zSgn8OhtfBvCrtbZAUUUECBjAUMADMGLsjlDQALUqgSNtMAsIRFtUsKKKDAoARiY4Gr+ApLWDyiCTsxjqN4NUfwSmK34F6PGGl1MXfyLa4fMeUyrj2ZCfwRx/JCFg58t9Ve++r5+RTYzFa+yJVcyX0jGriI/XgXpzIphdd6L71fyi38in8gfjYbj8P4fY7nDYxjQi+38FwFFFBAgTYFDADbhCr50wwAS17gHHfPADDHxbFpCiigQBEFYkTU3Vxam24YU4MbjxgFeCrvYVf2TKV7sePqP/NrFrOk6fVi3bW3sYj57JHK/byIAiGwlo18mku4lcdGgPwBz+YsjmUcg3uLHz+Hv+Pf+Q3fJtbprD/GM4mTeQcHcIrFVEABBRToo4ABYB+xc3yrwb07yDGKTeuLgAFgX5i9iQIKKFA9gSd5lCs4j+XcNaLzscPoibyFgzgjtbX6fs0DtSDwCdaPuN94xvFKjuAVHMHEAY/Iqt4roXw9XsYaPsHFxFT0+iMCv3N4Ds/nkIF2ejMbuJIv8gDXjGjHLszlDD7EjBzsRjxQJG+ugAIKDEDAAHAA6Dm8pQFgDotSkSYZAFak0HZTAQUUGITANrZyMz/iRr4/YhRStGcBJ7CItxE7BqdxxKisb3M9FzcJHeP6e7Mbb+dkFjInjdt5jQoK3M1yPsUvWc2GHXofU84/wOkcQ7y1Gtyxmke4hE+zmodGNGIfjq2txTmJaYNroHdWQAEFKixgAFjh4td13QDQ18GgBAwAByXvfRVQQIEKCcQowMs5r+kGIbH5wCm8k705OjWR3/EoX+VqljZZ9yzedMW6gDFFcyqTUrunFyq/wGIe5B/5FZvYukNn92AKH+X57MeMgSI8yGKu4PNsHjEKdieO5jUcyauItTg9FFBAAQUGI2AAOBj3vN3VADBvFalOewwAq1Nre6qAAgoMVCCmJV7HN7iTi5u241BexHG8gQkphXKb2MIPuImfcAuxYUjjMZOptemaxzF/oC7evBgCF3EbF3DtiFfSAvbgz3geswY4qm4b2/gt/8rN/HAEZoz2O433sg/HFAPaViqggAIlFjAALHFxO+iaAWAHWD41VQEDwFQ5vZgCCiigQCuBB7mOq/gSG1kz4qm7sXdtiuJMDmh1mbYfv59VfJmruJeVTc+J3VrP5kR2Z0rb1/SJ1RGIcO0bXEcEgI3Hkczjg5wx0JGkG1jD5fwjj3DTiPbtwYLaen9pbbhTnarbUwUUUCAbAQPAbFyLdlUDwKJVrDztNQAsTy3tiQIKKFAYgfU8wZV8iYe5YUSbxzGeo3kdh/MyxqU0XXEr22oBzne5YcT0zWjANCbxJk7gdA5MbVOSwhTDhjYViF10l/BE7TVzXZMdps/kIN7KIiak9BrtpgwruZdL+QxrWT7i9AM4tba+Zmy446GAAgookA8BA8B81GHQrTAAHHQFqnt/A8Dq1t6eK6CAAgMViIDlDn7OdVzIVjaNaMtcDuNU3s10ZqfWzsdYw9e4mptY2vSaz2Ye5/Ic9kxpU5LUGu6F+iIQU8XvZgWx1t+1PMCjTUapRkNexzG1XaV3YnBv4e/mUq7ha2xl8w42OzGeE3gjh/J7A21fXwrmTRRQQIGCCRgAFqxgGTV3cO8eMuqQly2MgAFgYUplQxVQQIFyCsSupZfzOWI0U+MxkSmcxDnEaKa0wpYIHn/FvXyDxcSuwY3HJMbzWo7mxTyL8QMc3VXOauevV1vYxm08Vgv8Ivh7fMQGGs+0OV4P7+QUTktxinqnIlvZwmLOr4XnjUdsqHM6H2Quh3Z6WZ+vgAIKKNAHAQPAPiAX4BYGgAUoUkmbaABY0sLaLQUUUKBIAhFq3Mj3uYUfEQFd47Efi3gOb2VnpqfWrdWs5wIWcyX3Nb3m/szg7ZzM/sxM7Z5eKB8CsUHMTTzCtcSKlEt4qskI1MaWxjTxD3Mmz2LPgXXiKVZxGZ8hdtVuPOawsBb+TWWPgbXPGyuggAIKjC1gAOgrJAQMAH0dDErAAHBQ8t5XAQUUUGCEwGPczhWc13RNs6nM5FTexTyenarcb3iIr3ENK3lqxHXHsRMv43Bew1FMYkKq9/Vi/RVYxyai1hH6/ZaH2ciWthowk2mcyAJeyuED3en3UW7lMv6eDawe0e6Y7ns8b2S8r9G2auqTFFBAgUEJGAAOSj5f9zUAzFc9qtQaA8AqVdu+KqCAAgUQ2MQ6ruV87uGypq19Fi/lWM5iPBNT6816NvMv/Ib/5PYm4w9hLrvwNhYRawR6FEfgCdZzPUtqod/NLCU2g2nn2JvdaqHfiexLjARNa/p5O/dufE6MiL2V/+B6vsnTDe0fz6TaRh8Hclo3l/YcBRRQQIE+CxgA9hk8p7czAMxpYSrQLAPAChTZLiqggAJFFLifq7mar7Kpyci8PVjAabyX+DPN406W8WWu4qEmo6ziPrHz6xs4nunurJome6rXWsZaFvNALfS7g2VNA91mNzyAmbXAL4K/CADzcGxmA1fxJeJnofGYzlzO5E+YwX55aKptUEABBRRoQ8AAsA2kCjzFALACRc5pFw0Ac1oYm6WAAgooALHm2ZV8gaXcPIJjHBM5jj/iMH6fnVLcrGMzW/kxt/Bv3NR0xNhuTOa/cxInse9AR4b5+hgSiBFyD7OaXyebeNzHqrZoYlTfYcyphX4nMJ9ZKa4v2VYDWjzpSZZyCX/HEzw04pl7c3QtAE9zTcw02uw1FFBAAQXGFjAA9BUSAgaAvg4GJWAAOCh576uAAgoo0JZATHu8jYu4nu+wjc0jzok1AU/hXUxLebOOh3iiNhrwTpY3befxzK8FgbFGnEd/BSL0u4cVtVF+8c9SnmyrARMYx5HsxQksIOq3K5PbOq/fT1rC9bWdsTc32ZH4KF7NUbwm1dC73/3zfgoooEBVBQwAq1r5HfttAOjrYFACBoCDkve+CiiggAIdCTzOg7VQJP5sPCYxjUWcS+wWnOaxjaf5OXfwba5nQ5NNI6YwkT/mWJ7PQmLDEI/sBGL9vtt4LNm590FWsq6tm01mAsewT21q79HszVQmtXXeIJ60jW3cyPe4iX8bcfuJTOU03sN8jhtE07ynAgoooEAKAgaAKSCW4BK+YyxBEQvaBQPAghbOZiuggAJVFNjKZm7gu/yOnzbt/oE8lxN5C5OYmirPCp7in7imtotss+MgZtU2CNmL3diLXWt/Tstx0JQqToYX28RWbuaRWugXm3msYWNbd9uFnTmO+bXQ7wj2YhLj2zpvkE/ayNpawP0wvx3RjN2Zz5l8mF3Zc5BN9N4KKKCAAj0KGAD2CFiS0w0AS1LIAnbDALCARbPJCiigQNUFlnILV/AF1rFyBMV0ZnMq72Yuh6XKFNNOr+EBvs6vWc2GlteOtQJjM4n6UDD+fTbTGJfimoUtG1KwJ6xjEzfwMIt5kBt4qOnIy2ZdmsnU2tTe+Ocw5jK+QMaruJ9L+DRrWTaia/tzSm2n34k5na5csJeXzVVAAQUGKmAAOFD+3NzcADA3pahcQwwAK1dyO6yAAgqUQyBGTF3D15rukBobPDybV9TWShvPhFQ7vJaNXMh1XMrdXV13IuPYMxklGKMFIyScl4wczPP01K462+ZJT7KB61hSC/1u4hG2sK2tM+exa22UX2zkcSAzC7kpyz1cVtvtOka31h+xsc3xvDHZ5MaPCm29IHySAgookHMBA8CcF6hPzfO3ep+gvc0IAQNAXxQKKKCAAoUViFF593EF1/BPTTdMmMkBtXXTdmPv1PsYQdXXuJrHWJvatfdgSjJi8JmpxDFqcFZt1GC53i6uYC2LWcK1PMBtLKvt5tvOsT8zaqP8YhfmCE8j7C3isZUtLOYC7uC/RjR/MrtxOh9gT55VxK7ZZgUUUECBUQQMAH1phEAx37lkV7t9gfcBLwHmQ23Bl3uAfwU+D22u+ty8feOAQ4ETk39OAI6E7Qv1nAlc2kbX4jmnt/G8seq7H3Bfm9e4ADi7zed28jQDwE60fK4CCiigQC4F1rKcK/g8j3HbiPaNZxLH8wYW8sLUw6JNtRBnCfexkkdYzSM8yWOsITYPSfOINexi1ODQlOKhNQaHpxZPZmKat8r0Wg+zuhb4xZp+9zaZvt3s5vEmeSFzaqP8Ivibw/RM29iPi69jFZfyWZZz54jbzeYQzuCDTGVGP5riPRRQQAEF+ihgANhH7BzfygDwmeK8DPgmsOso9Yp3ShEMdjfvBt4MnD/Ga8EAMMc/KDZNAQUUUECB0QRiB9Vb+Wltk5BtbB3xtL05mlN4J1PYPVPELWzlUdawlCeJwGs4GIw/n2JT6veOte9iCvHe7Jr8ORQSzsjBqMGhEZqraqHfr3mwZtHOEev3HcG82vTe2Mxjd6a0c1ohnvMot3IZf8+GJhYLeREn8KbUp60XAsZGKqCAAhUQMACsQJHb6KIB4BDSMcCVUHuXF/NpPgFckvz3WcC5iWWEgMcDa9qwbXxKjKL7evI/Y7GVW6C2ONARyf/rNAC8DnhLi3bEPZod9SMA/xz48RjXeRx4uIv+tjrFEYCthHxcAQUUUKBQAiu5r7ab6uomvzZ3ZhdO5u21rSL6fUQYFmvdxSjBCMIiHBwOCZextu0psO22e2cmEGvk1Y8YHFpvcFfisayOCGJvZ1ltlF+s6Rc7KLdzRJuOZu9a6Hcs+1C29RCj/rdxEddxIU83rHE4noks4lwObHtySTuiPkcBBRRQIG8CBoB5q8hg2mMAOOR+GfBcYEvy59UN5fhT4FPJ//s48FddlCum/j4HuBb4LdS28Yvr/GVyrU4DwGjzGV20I06pDwAjRBxrZGKXt2h5mgFgSyKfoIACCihQNIEtbOJ6vsXt/Kxp0w/mebWRVnnZWXVzbdRgBIND4WB9SLi+YXOINGoRawruOJV4eNTg1K6mSUf7b2FpbZTf9SypBZ3tHNNq07Pn10K/I9mLSRkGk+20J6vnbGYDV/MV7qt9z73jEbtWn8GHmMn+Wd3e6yqggAIK5ETAADAnhRhwMwwAh9bk+3VShy8D72hSk1i/L0bTHQY8AcyBVN4VGwACS5YsYZ99Ig/0UEABBRRQoBwCD/NbruSLrK+9bdjx2IU9axuEzObg3HY2Ro2tZkPdVOJnwsHltVGD6R6Tt48ajCnFz6wzGKMGG8O5DWzmBh6uTe+NP9sNKmOjkwj8TmBfDmMuE4i3d+U9nuRRLuXTPM6DIzq5F0fxXN7HziVY17C8FbRnCiigQHoCBoDpWRb5SgaA8DfAx5Iixgi94TCwsa4fTaYGx/9/ETTZOq3zV4IBoAFg568az1BAAQUUKITABp7kKr7CEhaPaO9OjOMoXs0RvJJxjC9Ef4YbuWn7qMEdpxPHtOJ2w7h2OxxvVGcxffuowWWsIXZB3twwlXW06+3JLrVNPCL4O5BZpdvReLR+L+F6Luc8NjfZv+5IXsVR/CHjSh6Atvsa83kKKKBAFQQMAKtQ5dZ9NACEXwGnQW2hmFidO6YBNzsWAVclD/x13dTd1sqjP8MA0ACwl9eP5yqggAIK5FwgRtLdzaVcy/lsaTI9NUYBnsp72JU9c96T1s2Lvj7O+mQq8TMjBmNqcazHl/aowdFatB8zarv2RugX23jsRHXe7sYafzfyfW7kByN4JjKl9lpbUFvO2kMBBRRQoEoCBoBVqvbofa3OO6LRDZbXvlyGG4Gjx3hZ7AGsSh7/HvDaFF5CvQSAjwEPAAuBycAK4HqoveP7TospyvVrAP4G2A2IObgbgYeAy4GvAPFYVodrAGYl63UVUEABBXInENMxr+DzLCf2E9vxmMDOnMjZHMSZpQ2rNrKltvHIjjsUD4WE8VgvR7yZPYQ5yfTeBcxll14uV9hzN7K2NurvYW4Y0Yfd2ae23l9MrvZQQAEFFKiegAFg9WrerMdVDwAjOFufwPxf4KUtXhaxQ/A04BogRgT2evQSAI5171uB1wC3jfKk+gBwrOvEmojvT4LBTvvaalG/GOpQmxPlGoCd0vp8BRRQQIEiCmxjKzfzo9oIrcbdWKM/8zmBk3kbk9m1iN3rqs0xanAV6+o2IYlQMKYWP8nKMXbxHc9OPJt5tZF+8c/uTOnq/mU5aRX3cwmfYS3x/fCOx34s4mTekZuNZ8pibj8UUECBIgkYABapWtm1teoB4GxgWcL7XeCsFtTxrio2AIkNQY5IoSzdBIC/hNrCN/+RjFpcCbWvuo8F3p5sVBJNi7bGBicjV34e2gU4vh7+IXApcFeyK/E84IXAObB9VehvA6/voq9tz/QxAOxC11MUUEABBQorsJy7aiO11vDoiD5MYfdaWLMPxxS2f2k1PDb7iBGDwzsTx7/Hxh1HMI9jmU/s5OsB93B5baffrWzagSPWmTyO1/MsXlLakaXWXwEFFFCgPQEDwPacyv6sqgeA8+sCsguBN7UoeIRpcc49wEEpvDi6CQBjncKRWwoONWYi8FXgzUnbIuB7VZN2xjvmCdBkZeihJ8e2hL8AFiTn/gHwkw77awDYIZhPV0ABBRSojsBmNnAd3+BOLm7a6YW8iON5PTE92EOBZgJb2cJ1XMjt/GzEw5PZjdN5P3tyuHgKKKCAAgpgAOiLIASqHgAWcQRgq1duBHsxQjHWBowjpuI+3OqkJo+fmqwFGA9FGPiCDq/hFOAOwXy6AgoooED1BB7kOq7iS2xkzYjO78benMZ7mMkB1YOxx2MKrONxLuOzLOOOEc+LjWVO54NMY6aKCiiggAIK1AQMAH0hGAAObZ5RtDUA23nl/inwqeSJMX03pvF2c/wOeFYyPTjWPoypx2kdbgKSlqTXUUABBRQotMB6nuBKvtR084ZxjOdoXsvhvJxxjCt0P218OgKPcXst/IvXTeNxCC/gRN7M+NqkEA8FFFBAAQWGBAwAfSWEQNVHAIZB0XYBbueV+xLg35MnfgT423ZOavKc2O04NhOJI9Y+DKu0DgPAtCS9jgIKKKBA4QViM4w7+QWL+caItdyGfgkfymm8m+m1X8ceVRSI10hM913MhTzN1h0IxjGRRbyVgzijijT2WQEFFFCghYABoC+REDAAhF8Bp0Ftq7lYX2/LKC+N2PX3quSxvwb+MoWXUDdrALZz2xcDsatxHL0EgP8K/GFyHQPAduR9jgIKKKCAAj0IxB64l/M5VnLviKtMZAoncQ4HcKqbOvRgXMRTt7CxttHHvVwxovnTmM2Z/IlTxYtYWNusgAIK9EnAALBP0Dm/jQEg/A3wsaROzwF+PUrNPgp8InnsRcB/pVDbrALAD9eN+nsD8K0u2xprCcbq0RuBqU4B7lLR0xRQQAEFFOhAIDZ3uJHvcws/IkZ9NR77sYjn8FZ2ZnoHV/WpRRV4kke5lE/zOLEX3Y7HPI7kubyPyexS1O7ZbgUUUECBPggYAPYBuQC3MACEE+tCvy8D72hSt1h0J8Kww5IdeGM03OYU6ptFABibgNyUtDWaGDv5LumirafA9q+ZY4vC53dxjbFOcQpwyqBeTgEFFFCgXAKx1tsVnMfaJitwTGUGp/Iu5nFEuTptb3YQeIgbaiNCN9Umqux4HMEra+tDujakLxoFFFBAgVYCBoCthKrxuAHgUJ2HpwHH9N/nAlc3lL9+U42PAxHc1R+x4Molyf+4ADi7zZdPpwHgmcANSQjZ7Bax4vNXgTcnD/4UeHmTJ74C+DE0GVYw9OSDgAj9IjyM49XAv7XZp3afZgDYrpTPU0ABBRSorMAm1nEt53MPlzU1OIwXczBnsjv7sJObhJTidRKjPp9iBXfxS27ihyPersVU8FN5Nws4oRT9tRMKKKCAAtkLGABmb1yEOxgADlXpGOBKYAqwlqFpwRHoxX+fBbwtKeadwPHAmobithsANgaDEcT9QXKtTwK311337roReMP/+/wkjPsJcClwB/Ak1OYAHZe0M3btjWMZEFOa72vyQoz5RHH9CPWujU2Bkmm+84CY3nxOcs04NdYBfF0GL2YDwAxQvaQCCiigQDkF7udqruarTUeCRY8nMY05LGQuh9Y2DJnJAe4EW5CXwtNs43GWsIzbiVGfy7iDdaxs2vrd2Icz+RC7sVdBemczFVBAAQXyIGAAmIcqDL4NBoDP1OBlwDeBXUcpS4R/sbtuBGeNR7sB4MiFfEZ/DTQbSRgB4PDovrFePTcnweWtozyp3XZ8EfhgEg6m/Wo1AExb1OspoIACCpRa4ClWcSVfYCnxa37sYzwTmcVBtTAwQsHZHMKk2nK+HoMW2MomVnAvy7iNx7ijFvhtZl3LZu3LSZzCO4kRgB4KKKCAAgp0ImAA2IlWeZ9rALhjbfcF3p8EfRFQbUoCv+8B58Go7876FQDGGoQxQi92JI6RfrOBGUlA9xhwHfB9qM0X2TrGyzbCzrjGSUD0eRYwLRlNGNsOXg78c7LuYVavfgPArGS9rgIKKKBAaQVitNht/Izr+TbbOliOeCd2Yg/2TUYJHlb7M9YR9MheYGNtFcc7k9F9t7OCe9hGrDrT3hG1O5bXczgvdffn9sh8lgIKKKBAg4ABoC+JEDAA9HUwKAEDwEHJe18FFFBAgcILPMFD3MJPeJTf1daL6+aYzpztU4ZjlOCu7GXA1A1kwzlRj6GpvEPTeWN67+jLLo9+w9jleS6HcTgvZw6HpNAyL6GAAgooUFUBA8CqVn7HfhsA+joYlIAB4KDkva8CCiigQKkE1rKiFjTFlNLeAqddkinDC5nDYcxkP8YxoVRWaXcmRmRGGDvkP7SGX/eB7OztU7Zj6nas8+fGLmlXzOspoIAC1RQwAKxm3Rt7bQDo62BQAgaAg5L3vgoooIACpRbodcrpMM4EdmYWBzOXCASH1hGcyORS27Xq3FY2s5J7dxjht4mnWp3W5PGYkr2gLnA9lGnM7OI6nqKAAgoooEBrAQPA1kZVeIYBYBWqnM8+GgDmsy62SgEFFFCgZAJDm07cs0NotZn1HfcyRqPNYL+6UWoLmcLuHV+nSCdsYl0yum9ohN8K7iZCwE6PcbVNWQ6sTemN9RdjSm/s3OyhgAIKKKBAPwQMAPuhnP97GADmv0ZlbaEBYFkra78UUEABBXItsK02bfXBWrD1WG0n2ttZz+NdtXlX5tUCwQi1ItzahbmFXkcwdloensobfz7Og12t3xfh3lDQN7QL80wOIHZm9lBAAQUUUGAQAgaAg1DP3z0NAPNXk6q0yACwKpW2nwoooIACuRZ4mqdr+9QObVoxtI7dah7uqs0xIrA++Iqdh8cxvqtrZX1S9Dv6+UzgdwdrWdbVbacxa/uGKtH/3dnH9fu6kvQkBRRQQIEsBAwAs1At3jUNAItXs7K02ACwLJW0HwoooIACpRPYwJPbp77GKMGV3MfTbO24nxOYXFs7MEbBRTA2m4OJtQUHcWxlC6tq6/cNTeeNEZAbWdNFU2L9vvlJ0Dk0pXc6s7q4jqcooIACCijQHwEDwP445/0uBoB5r1B522cAWN7a2jMFFFBAgZIJbGEjy7krmTZ8O8u5ky1s6LiXOzGemey/wzqCk9m14+u0c0Ks3xftHN6hd3lt/b5N7Zy6w3NiJ+RYv294Om8EmjszvePreIICCiiggAKDEjAAHJR8vu5rAJivelSpNQaAVaq2fVVAAQUUKJXANrbyOA9s31gkpg1vYHVXfdyNvesCwUOZzuyu1hFcx+PbR/bFqMVoX0zz7fSYyNRkTcNYw+8wZtXW75vU6WV8vgIKKKCAArkRMADMTSkG2hADwIHyV/rmBoCVLr+dV0ABBRQok0AEbWt4rLapyPCIuydZ2lUXpzJj+6YiQ+vpLWAc43a4Vtwvrl9/v7h/N8dUZi2OYHwAACAASURBVG6fohyj/GJ6b+x47KGAAgoooEBZBAwAy1LJ3vphANibn2d3L2AA2L2dZyqggAIKKJB7gfU8sX3KcKy5t4r7eZptHbd7aETeIbVRgrGTbow2jOt1t34ftQ06hqfzxp+xgcdO+Ja448J4ggIKKKBAYQQMAAtTqkwb6rudTHm9+BgCBoC+PBRQQAEFFKiQwGbWJ+sIxk7Dd7CCu4i1BbM8YgfimRy4ww69rt+XpbjXVkABBRTIo4ABYB6r0v82GQD239w7DgkYAPpKUEABBRRQoMIC29jCSu5nGbdt35m321F9w4wTmZLszju06/AsDmKC6/dV+FVm1xVQQAEFQsAA0NdBCBgA+joYlIAB4KDkva8CCiiggAI5FBha1++Ruo1F7mBti3X9prDH9tF9czm06XqBOeyqTVJAAQUUUKCvAgaAfeXO7c0MAHNbmtI3zACw9CW2gwoooIACCvQmsI5V29cRXM5dPM3WHab0drtjcG+t8mwFFFBAAQWKJWAAWKx6ZdVaA8CsZL1uKwEDwFZCPq6AAgoooIACCiiggAIKKKBAjwIGgD0CluR0A8CSFLKA3TAALGDRbLICCiiggAIKKKCAAgoooECxBAwAi1WvrFprAJiVrNdtJWAA2ErIxxVQQAEFFFBAAQUUUEABBRToUcAAsEfAkpxuAFiSQhawGwaABSyaTVZAAQUUUEABBRRQQAEFFCiWgAFgseqVVWsNALOS9bqtBAwAWwn5uAIKKKCAAgoooIACCiiggAI9ChgA9ghYktMNAEtSyAJ2wwCwgEWzyQoooIACCiiggAIKKKCAAsUSMAAsVr2yaq0BYFayXreVgAFgKyEfV0ABBRRQQAEFFFBAAQUUUKBHAQPAHgFLcroBYEkKWcBuGAAWsGg2WQEFFFBAAQUUUEABBRRQoFgCBoDFqldWrTUAzErW67YSMABsJeTjCiiggAIKKKCAAgoooIACCvQoYADYI2BJTjcALEkhC9gNA8ACFs0mK6CAAgoooIACCiiggAIKFEvAALBY9cqqtQaAWcl63VYCBoCthHxcAQUUUEABBRRQQAEFFFBAgR4FDAB7BCzJ6QaAJSlkAbthAFjAotlkBRRQQAEFFFBAAQUUUECBYgkYABarXlm11gAwK1mv20rAALCVkI8roIACCiiggAIKKKCAAgoo0KOAAWCPgCU53QCwJIUsYDcMAAtYNJusgAIKKKCAAgoooIACCihQLAEDwGLVK6vWGgBmJet1WwkYALYS8nEFFFBAAQUUUEABBRRQQAEFehQwAOwRsCSnGwCWpJAF7IYBYAGLZpMVUEABBRRQQAEFFFBAAQWKJWAAWKx6ZdVaA8CsZL1uKwEDwFZCPq6AAgoooIACCiiggAIKKKBAjwIGgD0CluR0A8CSFLKA3TAALGDRbLICCiiggAIKKKCAAgoooECxBAwAi1WvrFprAJiVrNdtJWAA2ErIxxVQQAEFFFBAAQUUUEABBRToUcAAsEfAkpxuAFiSQhawGwaABSyaTVZAAQUUUEABBRRQQAEFFCiWgAFgseqVVWsNALOS9bqtBAwAWwn5uAIKKKCAAgoooIACCiiggAI9ChgA9ghYktMNAEtSyAJ2wwCwgEWzyQoooIACCiiggAIKKKCAAsUSMAAsVr2yaq0BYFayXreVgAFgKyEfV0ABBRRQQAEFFFBAAQUUUKBHAQPAHgFLcroBYEkKWcBuGAAWsGg2WQEFFFBAAQUUUEABBRRQoFgCBoDFqldWrTUAzErW67YSMABsJeTjCiiggAIKKKCAAgoooIACCvQoYADYI2BJTjcALEkhC9gNA8ACFs0mK6CAAgoooIACCiiggAIKFEvAALBY9cqqtQaAWcl63VYCBoCthHxcAQUUUEABBRRQQAEFFFBAgR4FDAB7BCzJ6QaAJSlkAbthAFjAotlkBRRQQAEFFFBAAQUUUECBYgkYABarXlm11gAwK1mv20rAALCVkI8roIACCiiggAIKKKCAAgoo0KOAAWCPgCU53QCwJIUsYDf2Be6Pdl977bXMmzevgF2wyQoooIACCiiggAIKKKCAAgrkW2Dp0qWceOKJw43cD3gg3y22dVkIGABmoeo12xE4HljczhN9jgIKKKCAAgoooIACCiiggAIKpCJwAnBdKlfyIoUSMAAsVLlK1VgDwFKV084ooIACCiiggAIKKKCAAgoUQMAAsABFyqKJBoBZqHrNdgR2Bo5Inrgc2NrOSQN+zp51oxbjL81HB9web5+ugPVN1zOPV7PGeaxKem2yvulZ5vFK1jePVUmvTdY3Pcu8Xska57Uy6bTL+qbjmOVVxgOzkxvcDGzM8mZeO58CBoD5rIutyqfA9o1LgPnAQ/lspq3qUsD6dglXoNOscYGK1UVTrW8XaAU6xfoWqFhdNNX6doFWsFOsccEK1mFzrW+HYD5dgUEIGAAOQt17FlXAX2xFrVx77ba+7TkV+VnWuMjVa91269vaqMjPsL5Frl7rtlvf1kZFf4Y1LnoFx26/9S13fe1dSQQMAEtSSLvRFwF/sfWFeWA3sb4Do+/bja1x36gHciPrOxD2vt3U+vaNeiA3sr4DYe/rTa1xX7n7fjPr23dyb6hA5wIGgJ2beUZ1BfzFVu7aW99y1zd6Z43LXWPra33LLVDu3vnzW+76+jvY+pZfwB4qUAABA8ACFMkm5kbAN6e5KUUmDbG+mbDm6qLWOFflSL0x1jd10lxd0PrmqhypN8b6pk6auwta49yVJNUGWd9UOb2YAtkIGABm4+pVyyngL7Zy1nW4V9a33PWN3lnjctfY+lrfcguUu3f+/Ja7vv4Otr7lF7CHChRAwACwAEWyibkR8M1pbkqRSUOsbyasubqoNc5VOVJvjPVNnTRXF7S+uSpH6o2xvqmT5u6C1jh3JUm1QdY3VU4vpkA2AgaA2bh61XIK+IutnHUd7pX1LXd9o3fWuNw1tr7Wt9wC5e6dP7/lrq+/g61v+QXsoQIFEDAALECRbKICCiiggAIKKKCAAgoooIACCiiggALdChgAdivneQoooIACCiiggAIKKKCAAgoooIACChRAwACwAEWyiQoooIACCiiggAIKKKCAAgoooIACCnQrYADYrZznKaCAAgoooIACCiiggAIKKKCAAgooUAABA8ACFMkmKqCAAgoooIACCiiggAIKKKCAAgoo0K2AAWC3cp6ngAIKKKCAAgoooIACCiiggAIKKKBAAQQMAAtQJJuogAIKKKCAAgoooIACCiiggAIKKKBAtwIGgN3KeZ4CCiiggAIKKKCAAgoooIACCiiggAIFEDAALECRbKICCiiggAIKKKCAAgoooIACCiiggALdChgAdivneQoooIACCiiggAIKKKCAAgoooIACChRAwACwAEWyiQoooIACCiiggAIKKKCAAgoooIACCnQrYADYrZznVV3gU8Cf1iGcCVxadZSC939v4BzgZcB+wC7AcuAB4BLgu8AtBe9jVZs/CXgT8IfAkcAMYDPwMHAV8NXkz6r65LHfc4ATk39OAOKfmUlDLwDO7rDRvw+8LbnO7ORnezHwFeCiDq/l03sXSKO+U4HfA14AHA8cBEwHngTuBP4T+BLwaO/N9QpdCKRR49FuG7WP38f7J0+I39Pxe9ujfwJZ1PeM5Hf1acA8YBvwGHAz8AvgG8Da/nWx0ndKs77xs/lO4PnAgcA0YA1wO/Cz5O/pZZXWtvMK9FHAALCP2N6qNAJHAdcBEwwAS1PTtwKfSUK/0Tr1D8AHStPj6nRkX+D/Aoe36PLngPcDT1eHJtc9HasOnQSA45KQL8L90Y6vAW9PPmzmGqVEjeu1vhHkX5kEfmOxRBh4LvCvJbIrSld6rfFY/fw74EN1TzAA7P+rIs36xheu8ffwa1t04xjgt/3vaiXvmFZ93wh8GZgyhuIq4Czg55WUttMK9FnAALDP4N6u8ALxYfKaZBRJfFsV35DF4QjA4pY2Qr3PJs1/MPkmMmocHxxjVOAhwCuAa4E/KW43K9nyicANdeHfTUnQe0cS9p6afIiMb6Pj+Bjwfyoplb9O13/4WALcBrwwaWYnAeAngI8m58VrIUZv35OMQvgIEB8o44jn/Y/8MZS2Rb3WN352L090Igj89+SLuZVAjPB8FRBf7IwHtiYjux3p2d+XU681Hq218TMbo3djFHf8E+GRAWB/axt3S6u+8fs3RuueknQhRoR9JxnFG++540u8GAEeI/hjhoYBYH9qnUZ9o6a/AqKOMZozfnf/GHgEWAC8Oalp9Gg98Gzg3v50z7soUF0BA8Dq1t6edycwHBbFsPUfJoFBXMkAsDvPQZ91UjL1M96cxAfI+PY53oQ0OyJMig8bHsUReA3wvaS5VwMxrSjCgPrjOCAei/o+kYT61nnwNf548iE/PujHFLCYQnRf0qx2A8AI73+XjNaOUdvPbfj5jmmElyXTR7cAzwLuGnzXK9GCXut7cjJiN65z6yhif5D8no73uhH6HuwI376+tnqtcbPGRqD7ayD+3v5fybIdERAZAPa1tLWbpVXfLyTTQyMgipHa54/Slfg5jvrH39Ue2QukUd94X/2SpKnvBqLWjcen675c/zzwnuy75h0UqLaAAWC162/vOxOYn3zQiDWGIvCLtUr+MrmEAWBnlnl59m+SEUDx4SGmiD6Vl4bZjlQEYlr3B5MrvRz46ShX/TfglcljMbUw1hvyyJdANwHg8AfL6MmiZPR2Y6+ekwTA8f/j+fEhxaP/At3Ut51Wfh94dfLECI3i73yPwQikUeMYhR+BQYzijr+rY61HA8DB1LPxrt3U9+jkZzI+j8a07vq1tfPRK1sxLNBNfWNq7x5AjMyeNQrlbsmXr/Fw/P0cf097KKBAhgIGgBnieunSCUR48NJkCHssQP9XBoCFrnEEArEBRBzxjWN88+hRLoHz6gKdmFoSo8GaHX8LfDh5IDYTuL5cDKXoTacfPuL9zUPAXslC44eNoRAjuhcmm8LEFz2uA9n/l0yn9W23hRHoxt8DccQI7+ERwe2e7/PSE+i1xhH0xd/hMWX0vyWbc91vAJhegXq8Ujf1jbXhYnOmjcmSKxEUeeRToJv6xoYt8fMaI/BjGvdoR2y4FwFhbOxzRD67b6sUKI+AAWB5amlPshWIDw6xC2x8m3VosoOkAWC25llfvX502FxgeAeyeBMS31jGG5KYEupRXIH3Av+YNL+dEYAR/OyerP9Y3F6Xs+Wdfvg4IJn2GRrxIfMdY7AMfwiNp8R5w1ONyymZz151Wt92ezE8YiyeHyMBY7Svx2AEeq1xbOb0YuDCZKfY6IUB4GBq2eyundY3PoOuAGYkO7FHbeOIDfZi/eU4YgfvCAc9Bi/QaX2jxfFl6rEtRgDuCqxOuvcDIJZu8VBAgQwFDAAzxPXSpRGIQCAWoN8z2U0wdiqLwwCw2CWOheNjHalYcPig5Fvo+LAY64YNH1H3ryRTAzcVu7uVbH2EuXcDMcUk6n16kzUAY0H52PRlEvAt4A2VlMp/pzv98BGjtYenfMc08L8fo4vxeHwhEEesV/Qf+ecoXQs7rW+7ALHgfIT/ccQaj/F3usdgBHqpcewQGhtDPJ58CTv8hZ0B4GBq2eyundY31uSMKdxxxHqOXwT+N/DHdbt7R/h3afL/hzf9yU+Pq9WSTusbOrEDe7yHjuOdySZ7jWr1MzBeAPyiWqz2VoH+CxgA9t/cOxZPIH55xS+xmC4aOw8OTw8zACxeLetbHB8kIty9JPmW+Y/G6E688Yzd54a/pSx2z6vV+vjwHx8cY8OH2AU2gqD40BFrecYOdR9KdpGMtWdiBEJsOOGRP4FOP3zEiL/4QBlH7B4Za8GNdtRvFhPnxYhAj/4KdFrfdlp3VDICJTYOiHU9Y804j8EJdFvjGJEfwW2M1H97XaAQPTEAHFw9G+/caX1jk54fJReJ9bTj7955o3Qn3nfHru2xTqDHYAQ6rW+0Mv7u/edkxG5s8hL//hNgabILcHzhOrz+coS/fz6YrnlXBaolYABYrXrb284FIvCLLexj59AYxl6/OYABYOeeeTkjdv2NneTi78D4hnnnJASMBahjmtGGZL2STwKxSUAcESBEkOBRPIGYth9BX+ww2Ph7LwK/TwBfBdYVr2uVaXGnHz7iZ/lTic7vAz8bQyoeHx71F2tBxiYDHv0V6LS+rVoXf6dfkezwHM8dawmAVtfy8XQEuq1xzLqIv7tjt/b40qZ+jU4DwHRqk8ZVOq3vW5JAKO49/D4s/p6O0YA3ATE1NKbt/59kFH88L76IjZ1lPfov0Gl961sYdfyfyaZ7jS2PL+H/xpF//S+od6yugAFgdWtvz1sLxJTA3wKxeHwMUY9vH+sPA8DWhnl9Roz+WlPXuAh+IuCNnQXrjynJh44YSRLHScC1ee2U7WoqED/H8bP6VmD2KEaxQPX/l3wzLWM+BTr98PEXwF8nXXke8MsxuhUbClycPB7n/f/5JCh1qzqtbyuMCPTjZz6OC4DYuMtjsALd1Pi5yRTQ+BI2dgeNYKj+MAAcbE3r795pfWPztc/VXeDnQHwZE7WuP+KL+MuA+OI2NoGJTSLcqKn/de+0vsMtjM9Q8WV61DbWd2w84gv3GAkaX7493P9ueUcFqidgAFi9mtvj9gWGA74Hk7WDnmo41QCwfcu8PTPehGyua1RsFPH+URoZa4INf+Mc64TFSDKPYgjE7nMXAaclHypiZNfXk3UfJyeBbow2GJ7aH29Ah9eCK0YPq9PKTj98OAKwWK+NTus7Vu8+lowoiecsBs4EGn9/F0unHK3ttMYxivPGZIfu+Lt7eKf2eg0DwPy8NjqtbwT0EdQPH/ElbCzT0eyI3buHN4eIqfz1s3HyI1DulnRa39CI916xFm+sw/xAMsU3gt7YUDGm9MfI7PjCLab5PwK8MAl5yy1p7xQYsIAB4IAL4O1zKxBTBuONZ4weinVKYs2KxsMAMLfla6th64EIgeKIDQNi6m+zI54TowUjNIy1AGNEgkcxBOoXl44RQDESqPGIuv5XEhLEGjXxISR+9j3yJdDphw/XAMxX/Vq1ptP6jna9WCPuS8mDtycfQGOnUY/BC3Ra4xjBGyNylyRfwq5t0gUDwMHXdbgFndb3dcC/JCfHz+hoI/TjKfVhYUwHj7XkPPor0Gl9I8C/J9nROXZzjg3X4s/G43AgZmHEe+3YNfj4/nbLuylQPQEDwOrV3B63JxCLwL8tGSkU61Y0O+LbyFjXIo6YPnhr8u/xbZejDdpzHuSzYiOI2IUujpji2zi1qL5tsWBx7AIdHyhjOoNH/gXi91t8qJiRbPqxcIwmx7pSsV5YHLFJSOwK65EvgU4/fLgLcL7q16o1nda32fViI6dvJlMFY7RJjOx9qNWNfbxvAp3WONaFiy9hY9R2fEnT7IgppLHbe/xd/97kCbFD8FhT/vvW4YrdqNP6ngxcmRjFyL/48m2040V167h+NJlSWjHegXe30/rWb/ISn6Ninb/RjvolG472S9iB19oGlFzAALDkBbZ7XQucD7y5y7P3T3am6/J0T+uTQKw5Em9Q4hhr6kk8Hh8o4tvpWH/m2X1qn7fpTSAC2whu4/gucNYYl4tvnmNEaByxCHmsVeORL4FOP3wckIw+iF7EFzoxInC0Y/gLn3g8zrsvX12vRGs6rW8jSkwl+0EyUjt+7mPqWYw+8ciPQKc17nadt1gv7oz8dLsyLem0vrsDjyc68QXs8FrLzcBeXDdLI5Z3cDfg/r+sOq1vBLWxwVocrTbiqh+xH+/V4j2bhwIKZCRgAJgRrJctvIABYOFL2LIDf1K322eM5owPj82O2InuiWT32BiFEN9Ee+RfIEaFLE+aGbUdXj+oWct3AZ5MHoj1HmOnQY98CXT64SPe38Tor73aGLl7GxDLPsQC5PNdYH4ghe+0vvWNjE1eYgmHmHK2EjjddaQGUsNWN+20xgaArUTz9Xin9Y3WR/AXm3rE798IBEereYzujLWa4/hj4Dv56nolWtNpfWPNzliGJY5WuzfX13es9+OVgLaTCmQtYACYtbDXL7OAawAWu7oxUjNGiMTfg98C3jBKd2IkaATCcbhDaHFqHjsGxuiCCHBjcel9gS2jNL9+umhMKXtfcbpZmZZ2+uEjYL4AvDMRWgRc00TrOclO38PPf3dlRPPV0W7qGz2IaYTxxUxs+BMhQuzoHOtIeeRPoNsaj9UT1wDMT527qW/9++gXAL8YpTuX1I3qXJCsC5mfnlejJZ3WN5ZI+n5C8yngz8ZgiucNL6kUu33/phqk9lKBwQgYAA7G3buWQ8AAsPh1jGkGrwVi84fYfezihi7FNNLYRXIfYFMyPTBGCXkUQ+DbQKwLFkf8vH68SbNj97lY/+9ZyWMxwnO09aaK0etytrLTDx+hcEgyEiw2eolFxmMDn+Gp3vH4FOBXyaLjEQ7Ha+CucvLlvlfd1DfWiopgIEYOxbq78bM7vKZY7jtcwQZ2U+NWTAaArYT693g39Y2lVeKL2BiFHzv7xrqdw6Pxh1seX85emPxHjPSNL+w8+i/QaX3j7+V4vzw12Ugv1lputntzTA+OmRfxpW08PwLeeE/uoYACGQkYAGYE62UrIWAAWPwyx6iwCPjiTeiGZAOI/0hCghOBjyXhX/Q0vr2MbzE9iiMQ0zpjNFC8AY0jNuiJnYDvTXaci9FfH0jecMbjEQA/vzjdK3VL44PgQXU9jCndw9OJIuT5WkPvh0fpNqLEGkSxFlEcsdD8J5MPnAcmP9OxM2Ec8bz/UWrRfHWu1/pG/a4C5iTdio17Rhs9NNzzWMs1/vHoj0CvNW6nlQaA7Shl85y06vsu4PNJE+9I/o6OqcExev9VySju8UkwGDvE+iVNNvVsvGoa9Y1ZM7Gbdxyxi3fMsPh5MjtjbrIO97nJ2q3xnDcmGzn1p4feRYGKChgAVrTwdjsVAQPAVBgHfpETgB8Ce4/SkliTJnYv+/OBt9QGdCMQgV6sFxQB0lhH7BoZa88ML0rezb08Jz2BTtdhHe39TIwqiB0G//sYTfunZNd3Rx2kV79WV+q1vmcnu8O2uk/94zECOH5ve/RHoNcat9NKA8B2lLJ5Tpr1jfdX8bMZQV+zI9bzfUUS+mfTG6/aKJBGfeP38meA9yfL7YymvDn5As7NXXwdKtAHAQPAPiB7i9IKGACWp7QxVeE9wCuBGFkSu8LGunGxm+B5rilV+ELPBM5JdqI7PJkyGFM+H01GgMZU4Z+4+UOu6pzGh4/6DsUukm8DIvCPMHhFUvvYAfiiXPW8Go3ptb4GgPl/nfRa43Z6aADYjlI2z0m7vjG6L0YDngnMAzYmo/3id3NsABKbsXn0TyDN+sa6fm9NpnjHzJuYlREjAu9O3mfH7+E7+9c176RAtQUMAKtdf3uvgAIKKKCAAgoooIACCiiggAIKKFByAQPAkhfY7imggAIKKKCAAgoooIACCiiggAIKVFvAALDa9bf3CiiggAIKKKCAAgoooIACCiiggAIlFzAALHmB7Z4CCiiggAIKKKCAAgoooIACCiigQLUFDACrXX97r4ACCiiggAIKKKCAAgoooIACCihQcgEDwJIX2O4poIACCiiggAIKKKCAAgoooIACClRbwACw2vW39woooIACCiiggAIKKKCAAgoooIACJRcwACx5ge2eAgoooIACCiiggAIKKKCAAgoooEC1BQwAq11/e6+AAgoooIACCiiggAIKKKCAAgooUHIBA8CSF9juKaCAAgoooIACCiiggAIKKKCAAgpUW8AAsNr1t/cKKKCAAgoooIACCiiggAIKKKCAAiUXMAAseYHtngIKKKCAAgoooIACCiiggAIKKKBAtQUMAKtdf3uvgAIKKKCAAgoooIACCiiggAIKKFByAQPAkhfY7imggAIKKKCAAgoooIACCiiggAIKVFvAALDa9bf3CiiggAIKKKCAAgoooIACCiiggAIlFzAALHmB7Z4CCiiggAIKKKCAAgoooIACCiigQLUFDACrXX97r4ACCiiggAIKKKCAAgoooIACCihQcgEDwJIX2O4poIACCiigQOkF/gr4y6SXvrcrfbntoAIKKKCAAgoo0LmAbxI7N/MMBRRQQAEFFFAgTwIGgHmqhm1RQAEFFFBAAQVyKGAAmMOi2CQFFFBAAQUUUKADAQPADrB8qgIKKKCAAgooUEUBA8AqVt0+K6CAAgoooECZBAwAy1RN+6KAAgoooIACCmQgYACYAaqXVEABBRRQQAEF+ihgANhHbG+lgAIKKKCAAgoUUcAAsIhVs80KKKCAAgoooMAzAgaAvhoUUEABBRRQQAEFxhQwAPQFooACCiiggAIKFFugMQCcDLwH+GPg4KRrtwHfAL4EbBmju/sB7wdeCCwAxgMPA78EzgNuHuXcOO++5LG3AOePcY/7gX2BC4CzG54X//315P/tDywF3gmcBRwEzAQ+DkSfPRRQQAEFFFBAAQXaFDAAbBPKpymggAIKKKCAAjkVqA8A9wR+Bhw9Slt/CrwC2Nbk8TcBXwF2HuXcrcBfAJ9o8ngWAeAJwFeb9MUAMKcvRJulgAIKKKCAAvkVMADMb21smQIKKKCAAgoo0I5AfQB4FXB8MtIvwr5VwMIkuDssudg7gC83XPglQDw/3huuBT4N/CIZLXgy8DFgVnLOu4AvNpyfRQB4E3AEcCHwXeDRZFTiRuCidmB8jgIKKKCAAgoooMCQgAGgrwQFFFBAAQUUUKDYAvUB4OZk+u6lDV2aAdwKzAUiWDuq7vGJyfTdvZPw7zTgtw3nx5Tdq4F5wLpkCu+KuudkEQDG5c8B/rnY5bH1CiiggAIKKKDA4AUMAAdfA1uggAIKKKCAAgr0IlAfAH4G+NAoF4upux9NHtsdWJ38+2uTEXbxn/H4J0c5//XAN5PHPgL8bcYBYKw7+LxeaR6lNgAABihJREFUYDxXAQUUUEABBRRQYEjAANBXggIKKKCAAgooUGyB+gDwOOA3o3TnNcD3kseOqRvlF+v+nQs8nYwQXD7K+ZOAZcBuwH8BL8o4AHT0X7Ffl7ZeAQUUUEABBXIkYACYo2LYFAUUUEABBRRQoAuB+gBwWjJFt9ll/htwcfLAc4HLk3+PdQMXAfcCB7a4/yXAGcAjQEwZHj6ymAIcm4Bc14WHpyiggAIKKKCAAgo0CBgA+pJQQAEFFFBAAQWKLVAfAI713i6Cuwjw4jgTGF4n8PZko5BrkiBwLI3vAGcBG4ApGQeABwH3FLs0tl4BBRRQQAEFFMiHgAFgPupgKxRQQAEFFFBAgW4F0goAY5OP2PF3rONfgNf1KQDcH7i/WxTPU0ABBRRQQAEFFHhGwADQV4MCCiiggAIKKFBsgV4DwDSmAC8AHkgYW63dF2sMzgIuAM5uoI///nry/wwAi/26tPUKKKCAAgookCMBA8AcFcOmKKCAAgoooIACXQj0GgC2uwnIRCDCu2abgOwBrEra/mHg06P0YwawItmIzgCwi2J7igIKKKCAAgoo0I2AAWA3ap6jgAIKKKCAAgrkR6DXAPC1wHeT7vwZ8KlRuvZHwLeTxz4C/G3D8x4HdgdimnA8t9nxLuDzyQMGgPl5DdkSBRRQQAEFFCi5gAFgyQts9xRQQAEFFFCg9AK9BoAxsi/W2tsLeBI4Fbi5QW0+EJuExHPWAfsmI/nqn/Zj4OXAeuCIJht4LARiunGMAozDALD0L007qIACCiiggAJ5ETAAzEslbIcCCiiggAIKKNCdQK8BYNz1JcBPk6m5a5LRfRcDW5ONQT4KzEmaF6P4vtikqS8Cfpb8/4eAaNcNwHTgecD766YQzzYA7K7YnqWAAgoooIACCnQjYADYjZrnKKCAAgoooIAC+RFIIwCM3rwZ+DKw8yhdizDwL4BPjNH1fwDeN8rjDwK/B1yUjCB0BGB+XkO2RAEFFFBAAQVKLmAAWPIC2z0FFFBAAQUUKL1AWgFgQO0HfAB4IRA7+44DHgF+CXyuydTgZrix/t87gKOBmF4cwd8Pgb8DVibTjWMKsQFg6V+adlABBRRQQAEF8iJgAJiXStgOBRRQQAEFFFBAAQUUUEABBRRQQAEFMhAwAMwA1UsqoIACCiiggAIKKKCAAgoooIACCiiQFwEDwLxUwnYooIACCiiggAIKKKCAAgoooIACCiiQgYABYAaoXlIBBRRQQAEFFFBAAQUUUEABBRRQQIG8CBgA5qUStkMBBRRQQAEFFFBAAQUUUEABBRRQQIEMBAwAM0D1kgoooIACCiiggAIKKKCAAgoooIACCuRFwAAwL5WwHQoooIACCiiggAIKKKCAAgoooIACCmQgYACYAaqXVEABBRRQQAEFFFBAAQUUUEABBRRQIC8CBoB5qYTtUEABBRRQQAEFFFBAAQUUUEABBRRQIAMBA8AMUL2kAgoooIACCiiggAIKKKCAAgoooIACeREwAMxLJWyHAgoooIACCiiggAIKKKCAAgoooIACGQgYAGaA6iUVUEABBRRQQAEFFFBAAQUUUEABBRTIi4ABYF4qYTsUUEABBRRQQAEFFFBAAQUUUEABBRTIQMAAMANUL6mAAgoooIACCiiggAIKKKCAAgoooEBeBAwA81IJ26GAAgoooIACCiiggAIKKKCAAgoooEAGAgaAGaB6SQUUUEABBRRQQAEFFFBAAQUUUEABBfIiYACYl0rYDgUUUEABBRRQQAEFFFBAAQUUUEABBTIQMADMANVLKqCAAgoooIACCiiggAIKKKCAAgookBcBA8C8VMJ2KKCAAgoooIACCiiggAIKKKCAAgookIGAAWAGqF5SAQUUUEABBRRQQAEFFFBAAQUUUECBvAgYAOalErZDAQUUUEABBRRQQAEFFFBAAQUUUECBDAQMADNA9ZIKKKCAAgoooIACCiiggAIKKKCAAgrkRcAAMC+VsB0KKKCAAgoooIACCiiggAIKKKCAAgpkIGAAmAGql1RAAQUUUEABBRRQQAEFFFBAAQUUUCAvAgaAeamE7VBAAQUUUEABBRRQQAEFFFBAAQUUUCADgf8HBGcG/rEsF8IAAAAASUVORK5CYII=\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f591e649320>"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = eff.mean(dim = 'DF_UID')[['module_eff']].to_dataframe()\n",
"\n",
"df['month'] = df.index.month\n",
"df['hour'] = df.index.hour\n",
"\n",
"df.pivot(index = 'hour', columns = 'month', values = 'module_eff').plot(cmap = 'jet')"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n"
]
},
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f595c593a90>"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = eff.mean(dim = 'DF_UID')[['PF_mean']].to_dataframe()\n",
"\n",
"df['month'] = df.index.month\n",
"df['hour'] = df.index.hour\n",
"\n",
"df.pivot(index = 'hour', columns = 'month', values = 'PF_mean').plot(cmap = 'jet')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Tilted radiation"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Get the mean of east and west"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"Gt_east = xr.open_dataset('/scratch/walch/scenarios_GVA/tilted_irrad_GVA_flat_east_10deg.nc')\n",
"Gt_west = xr.open_dataset('/scratch/walch/scenarios_GVA/tilted_irrad_GVA_flat_west_10deg.nc')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"Gt_EW = (Gt_west + Gt_east) / 2"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"Gt_EW.to_netcdf('/scratch/walch/scenarios_GVA/tilted_irrad_GVA_flat_EW_10deg.nc')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Visualise"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n",
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n",
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n",
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n"
]
}
],
"source": [
"var = 'tilted_irradiance'\n",
"df = []\n",
"\n",
"for name in ['south_10deg', 'west_10deg', 'east_10deg', 'EW_10deg']:\n",
" Gt = xr.open_dataset('/scratch/walch/scenarios_GVA/tilted_irrad_GVA_flat_%s.nc' %name)\n",
"\n",
" new_data = Gt.mean(dim = 'DF_UID')[[var]].to_dataframe()\n",
" df.append( new_data.set_index( (new_data.index.month - 1) * 24 + new_data.index.hour )\n",
" .rename( {var : name}, axis = 1 ) )\n",
" \n",
"df = pd.concat(df, axis = 1)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
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"output_type": "display_data"
},
{
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\" width=\"1000\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import calendar\n",
"\n",
"long_df = pd.DataFrame(data = [], index = range(24*12))\n",
"long_df = long_df.merge(df, how = 'left', left_index = True, right_index = True).fillna(0)\n",
"\n",
"# PLOTTING ROUTINE\n",
"plt.figure(figsize = (10, 3.5))\n",
"ax = plt.subplot()\n",
"\n",
"# Ssh['mean'].plot()\n",
"long_df.plot(ax = ax)\n",
"\n",
"ax.set_xticks(list(range(12, 24*12, 24)))\n",
"ax.set_xticklabels(calendar.month_abbr[1:])\n",
"ax.set_ylabel('Mean tilted radiation $G_t$ [$W/m^2$]')\n",
"ax.set_xlim((0, 12*24))\n",
"# ax.set_ylim((0, 0.4))\n",
"ax.yaxis.grid(linestyle = '--')\n",
"\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### PV potential"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Get the mean of east and west"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"PV_east = xr.open_dataset('/scratch/walch/scenarios_GVA/PV_pot_GVA_flat_east_10deg.nc')\n",
"PV_west = xr.open_dataset('/scratch/walch/scenarios_GVA/PV_pot_GVA_flat_west_10deg.nc')"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"PV_EW = (PV_west + PV_east) / 2"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"PV_EW.to_netcdf('/scratch/walch/scenarios_GVA/PV_pot_GVA_flat_EW_10deg.nc')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Visualise"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n",
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n",
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n",
"/home/walch/miniconda3/envs/py3/lib/python3.6/site-packages/xarray/core/nanops.py:161: RuntimeWarning: Mean of empty slice\n",
" return np.nanmean(a, axis=axis, dtype=dtype)\n"
]
}
],
"source": [
"var = 'pv_potential'\n",
"df = []\n",
"\n",
"for name in ['south_10deg', 'west_10deg', 'east_10deg', 'EW_10deg']:\n",
" PV = xr.open_dataset('/scratch/walch/scenarios_GVA/PV_pot_GVA_flat_%s.nc' %name)\n",
"\n",
" new_data = PV.mean(dim = 'DF_UID')[[var]].to_dataframe()\n",
" df.append( new_data.set_index( (new_data.index.month - 1) * 24 + new_data.index.hour )\n",
" .rename( {var : name}, axis = 1 ) )\n",
" \n",
"df = pd.concat(df, axis = 1)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
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"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
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"\n",
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" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
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"\n",
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"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
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"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
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" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
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" button.click(method_name, toolbar_event);\n",
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"\n",
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"\n",
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" properties['figure_id'] = this.id;\n",
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" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
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"\n",
"\n",
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"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
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" fig._resize_canvas(size[0], size[1]);\n",
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"}\n",
"\n",
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" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
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" x0 = Math.floor(x0) + 0.5;\n",
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" y1 = Math.floor(y1) + 0.5;\n",
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" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
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" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
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"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
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" switch(cursor)\n",
" {\n",
" case 0:\n",
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" break;\n",
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" break;\n",
" case 2:\n",
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" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
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" fig.send_draw_message();\n",
"}\n",
"\n",
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"\n",
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" this.send_message(\"ack\", {});\n",
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"\n",
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" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
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"\n",
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" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
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" return;\n",
" }\n",
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" fig.waiting = false;\n",
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"\n",
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"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
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"\n",
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" try {\n",
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" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
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\" width=\"1000\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import calendar\n",
"\n",
"long_df = pd.DataFrame(data = [], index = range(24*12))\n",
"long_df = long_df.merge(df, how = 'left', left_index = True, right_index = True).fillna(0)\n",
"\n",
"# PLOTTING ROUTINE\n",
"plt.figure(figsize = (10, 3.5))\n",
"ax = plt.subplot()\n",
"\n",
"# Ssh['mean'].plot()\n",
"long_df.plot(ax = ax)\n",
"\n",
"ax.set_xticks(list(range(12, 24*12, 24)))\n",
"ax.set_xticklabels(calendar.month_abbr[1:])\n",
"ax.set_ylabel('Mean PV potential $E_{PV}$ [$Wh$]')\n",
"ax.set_xlim((0, 12*24))\n",
"# ax.set_ylim((0, 0.4))\n",
"ax.yaxis.grid(linestyle = '--')\n",
"\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# SPIELWIESE"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### DR RATIO (MUTUAL SHADING) for 70% area: 0.43\n",
"as ratio of available area = 1 / (1 + DR) --> DR = 1 / ratio of available area - 1"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"roofs = PV_pot_GVA_info.copy()\n",
"area_field = 'available_area'\n",
"Gt_field = 'radiation_kWh_m2_a'\n",
"tilt_field = 'NEIGUNG'\n",
"roof_area_field = 'FLAECHE'\n",
"aspect_field = 'AUSRICHTUNG'"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# Define scenario:\n",
"AREA_PERC = 0.7\n",
"FLAT_THRESH = 10 # degree\n",
"SHED_ANGLE = 10 # degree\n",
"\n",
"SHED_LOSS_30 = 0.065 # annual radiation loss due to mutual shading of sheded panels (at 30° tilt)\n",
"SHED_LOSS_10 = 0.02 # annual radiation loss due to mutual shading of sheded panels (at 10° tilt)\n",
" \n",
"all_flat_roofs = roofs[tilt_field] <= FLAT_THRESH\n",
"zero_flat_roofs = roofs[tilt_field] == 0\n",
"nonzero_flat_roofs = (roofs[tilt_field] > 0) & (roofs[tilt_field] <= FLAT_THRESH)\n",
" \n",
"# adjust the area on previously flat roofs: multiply area with 1.4 (70% instead of 50%)\n",
"roofs.loc[ zero_flat_roofs, area_field ] = roofs.loc[ zero_flat_roofs, area_field ] * (AREA_PERC / 0.5)\n",
" \n",
"# adjust the area on previously non-sheded roofs: multiply area with 0.7\n",
"roofs.loc[ nonzero_flat_roofs, area_field ] = roofs.loc[ nonzero_flat_roofs, area_field ] * AREA_PERC\n",
" \n",
"# assure no available area is larger than the total roof area\n",
"roofs.loc[ all_flat_roofs, area_field ] = roofs.loc[ all_flat_roofs, [area_field, roof_area_field] ].min(axis = 1)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# remove the mutual shading losses from currently sheded roofs\n",
"roofs.loc[ zero_flat_roofs, area_field ] = "
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"irrad_curr_tilt = ( roofs.loc[ all_flat_roofs, (tilt_field, aspect_field, Gt_field) ]\n",
" .groupby( [tilt_field, aspect_field] ).mean() )"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" </tr>\n",
" <tr>\n",
" <th>NEIGUNG</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <th>0.0</th>\n",
" <td>1151.387397</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <th>0.0</th>\n",
" <td>903.538320</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <th>0.0</th>\n",
" <td>1057.762625</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <th>0.0</th>\n",
" <td>1100.979378</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <th>0.0</th>\n",
" <td>1063.331632</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <th>0.0</th>\n",
" <td>1168.967326</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <th>0.0</th>\n",
" <td>1172.756070</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <th>0.0</th>\n",
" <td>1146.230704</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <th>0.0</th>\n",
" <td>1183.476217</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <th>0.0</th>\n",
" <td>1169.939891</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <th>0.0</th>\n",
" <td>1219.438560</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" radiation_kWh_m2_a\n",
"NEIGUNG AUSRICHTUNG \n",
"0 0.0 1151.387397\n",
"1 0.0 903.538320\n",
"2 0.0 1057.762625\n",
"3 0.0 1100.979378\n",
"4 0.0 1063.331632\n",
"5 0.0 1168.967326\n",
"6 0.0 1172.756070\n",
"7 0.0 1146.230704\n",
"8 0.0 1183.476217\n",
"9 0.0 1169.939891\n",
"10 0.0 1219.438560"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"irrad_curr_tilt[(irrad_curr_tilt.reset_index().AUSRICHTUNG == 0).values] "
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DF_UID</th>\n",
" <th>pv_potential_kWh_a</th>\n",
" <th>pv_potential_kWh_a_std</th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" <th>radiation_kWh_m2_a_std</th>\n",
" <th>available_area</th>\n",
" <th>GWR_EGID</th>\n",
" <th>FLAECHE</th>\n",
" <th>NEIGUNG</th>\n",
" <th>XCOORD</th>\n",
" <th>YCOORD</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th>panel_tilt</th>\n",
" <th>panelled_area_ratio_ftr</th>\n",
" <th>prediction_panels</th>\n",
" <th>total_std_shade</th>\n",
" <th>predicted_area_ratio</th>\n",
" <th>available_area_std</th>\n",
" <th>avail_area_ratio</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>6.000000e+00</td>\n",
" <td>6.000000</td>\n",
" <td>6.000000</td>\n",
" <td>6.000000</td>\n",
" <td>6.000000</td>\n",
" <td>6.000000</td>\n",
" <td>5.000000e+00</td>\n",
" <td>6.000000</td>\n",
" <td>6.0</td>\n",
" <td>6.000000</td>\n",
" <td>6.000000</td>\n",
" <td>6.0</td>\n",
" <td>6.0</td>\n",
" <td>6.000000</td>\n",
" <td>6.000000</td>\n",
" <td>6.000000</td>\n",
" <td>6.000000</td>\n",
" <td>6.000000</td>\n",
" <td>6.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>5.034270e+06</td>\n",
" <td>18143.340667</td>\n",
" <td>4921.703151</td>\n",
" <td>1219.438560</td>\n",
" <td>281.407962</td>\n",
" <td>73.441353</td>\n",
" <td>2.950602e+08</td>\n",
" <td>159.771203</td>\n",
" <td>10.0</td>\n",
" <td>501569.089761</td>\n",
" <td>115182.204221</td>\n",
" <td>0.0</td>\n",
" <td>10.0</td>\n",
" <td>0.637898</td>\n",
" <td>0.538561</td>\n",
" <td>0.040931</td>\n",
" <td>0.525568</td>\n",
" <td>14.562856</td>\n",
" <td>0.525568</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>4.173316e+04</td>\n",
" <td>21386.821668</td>\n",
" <td>5105.458781</td>\n",
" <td>76.953081</td>\n",
" <td>7.294920</td>\n",
" <td>81.220835</td>\n",
" <td>1.395214e+04</td>\n",
" <td>153.474409</td>\n",
" <td>0.0</td>\n",
" <td>3530.303034</td>\n",
" <td>3141.857898</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.313691</td>\n",
" <td>0.268678</td>\n",
" <td>0.025371</td>\n",
" <td>0.262937</td>\n",
" <td>11.180462</td>\n",
" <td>0.262937</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>5.001488e+06</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1152.356673</td>\n",
" <td>272.591272</td>\n",
" <td>0.000000</td>\n",
" <td>2.950500e+08</td>\n",
" <td>14.429939</td>\n",
" <td>10.0</td>\n",
" <td>498772.293974</td>\n",
" <td>112492.269587</td>\n",
" <td>0.0</td>\n",
" <td>10.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>5.001493e+06</td>\n",
" <td>6712.292250</td>\n",
" <td>2442.665081</td>\n",
" <td>1169.598309</td>\n",
" <td>277.642539</td>\n",
" <td>28.764376</td>\n",
" <td>2.950500e+08</td>\n",
" <td>69.252580</td>\n",
" <td>10.0</td>\n",
" <td>499363.909383</td>\n",
" <td>112493.236352</td>\n",
" <td>0.0</td>\n",
" <td>10.0</td>\n",
" <td>0.736758</td>\n",
" <td>0.602361</td>\n",
" <td>0.031752</td>\n",
" <td>0.585003</td>\n",
" <td>9.669963</td>\n",
" <td>0.585003</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>5.024562e+06</td>\n",
" <td>13258.619500</td>\n",
" <td>3815.783606</td>\n",
" <td>1183.853260</td>\n",
" <td>279.167172</td>\n",
" <td>56.369434</td>\n",
" <td>2.950500e+08</td>\n",
" <td>130.787051</td>\n",
" <td>10.0</td>\n",
" <td>501153.253082</td>\n",
" <td>114680.960542</td>\n",
" <td>0.0</td>\n",
" <td>10.0</td>\n",
" <td>0.748641</td>\n",
" <td>0.623260</td>\n",
" <td>0.040849</td>\n",
" <td>0.608364</td>\n",
" <td>13.951565</td>\n",
" <td>0.608364</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>5.047632e+06</td>\n",
" <td>16879.372250</td>\n",
" <td>4898.277550</td>\n",
" <td>1262.436071</td>\n",
" <td>285.749448</td>\n",
" <td>73.864701</td>\n",
" <td>2.950754e+08</td>\n",
" <td>173.736178</td>\n",
" <td>10.0</td>\n",
" <td>501190.604118</td>\n",
" <td>116877.457368</td>\n",
" <td>0.0</td>\n",
" <td>10.0</td>\n",
" <td>0.782222</td>\n",
" <td>0.641084</td>\n",
" <td>0.061016</td>\n",
" <td>0.622194</td>\n",
" <td>16.642062</td>\n",
" <td>0.622194</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>5.105880e+06</td>\n",
" <td>59726.332000</td>\n",
" <td>14654.583925</td>\n",
" <td>1343.091167</td>\n",
" <td>292.444285</td>\n",
" <td>228.650103</td>\n",
" <td>2.950754e+08</td>\n",
" <td>445.829534</td>\n",
" <td>10.0</td>\n",
" <td>508365.222480</td>\n",
" <td>119865.416724</td>\n",
" <td>0.0</td>\n",
" <td>10.0</td>\n",
" <td>0.803895</td>\n",
" <td>0.742425</td>\n",
" <td>0.067431</td>\n",
" <td>0.732663</td>\n",
" <td>33.692351</td>\n",
" <td>0.732663</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DF_UID pv_potential_kWh_a pv_potential_kWh_a_std \\\n",
"count 6.000000e+00 6.000000 6.000000 \n",
"mean 5.034270e+06 18143.340667 4921.703151 \n",
"std 4.173316e+04 21386.821668 5105.458781 \n",
"min 5.001488e+06 0.000000 0.000000 \n",
"25% 5.001493e+06 6712.292250 2442.665081 \n",
"50% 5.024562e+06 13258.619500 3815.783606 \n",
"75% 5.047632e+06 16879.372250 4898.277550 \n",
"max 5.105880e+06 59726.332000 14654.583925 \n",
"\n",
" radiation_kWh_m2_a radiation_kWh_m2_a_std available_area \\\n",
"count 6.000000 6.000000 6.000000 \n",
"mean 1219.438560 281.407962 73.441353 \n",
"std 76.953081 7.294920 81.220835 \n",
"min 1152.356673 272.591272 0.000000 \n",
"25% 1169.598309 277.642539 28.764376 \n",
"50% 1183.853260 279.167172 56.369434 \n",
"75% 1262.436071 285.749448 73.864701 \n",
"max 1343.091167 292.444285 228.650103 \n",
"\n",
" GWR_EGID FLAECHE NEIGUNG XCOORD YCOORD \\\n",
"count 5.000000e+00 6.000000 6.0 6.000000 6.000000 \n",
"mean 2.950602e+08 159.771203 10.0 501569.089761 115182.204221 \n",
"std 1.395214e+04 153.474409 0.0 3530.303034 3141.857898 \n",
"min 2.950500e+08 14.429939 10.0 498772.293974 112492.269587 \n",
"25% 2.950500e+08 69.252580 10.0 499363.909383 112493.236352 \n",
"50% 2.950500e+08 130.787051 10.0 501153.253082 114680.960542 \n",
"75% 2.950754e+08 173.736178 10.0 501190.604118 116877.457368 \n",
"max 2.950754e+08 445.829534 10.0 508365.222480 119865.416724 \n",
"\n",
" AUSRICHTUNG panel_tilt panelled_area_ratio_ftr prediction_panels \\\n",
"count 6.0 6.0 6.000000 6.000000 \n",
"mean 0.0 10.0 0.637898 0.538561 \n",
"std 0.0 0.0 0.313691 0.268678 \n",
"min 0.0 10.0 0.000000 0.000000 \n",
"25% 0.0 10.0 0.736758 0.602361 \n",
"50% 0.0 10.0 0.748641 0.623260 \n",
"75% 0.0 10.0 0.782222 0.641084 \n",
"max 0.0 10.0 0.803895 0.742425 \n",
"\n",
" total_std_shade predicted_area_ratio available_area_std \\\n",
"count 6.000000 6.000000 6.000000 \n",
"mean 0.040931 0.525568 14.562856 \n",
"std 0.025371 0.262937 11.180462 \n",
"min 0.000000 0.000000 0.000000 \n",
"25% 0.031752 0.585003 9.669963 \n",
"50% 0.040849 0.608364 13.951565 \n",
"75% 0.061016 0.622194 16.642062 \n",
"max 0.067431 0.732663 33.692351 \n",
"\n",
" avail_area_ratio \n",
"count 6.000000 \n",
"mean 0.525568 \n",
"std 0.262937 \n",
"min 0.000000 \n",
"25% 0.585003 \n",
"50% 0.608364 \n",
"75% 0.622194 \n",
"max 0.732663 "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roofs[(roofs.NEIGUNG == 10) & (roofs.AUSRICHTUNG == 0)].describe()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"new_shed_south = (roofs[tilt_field] == SHED_ANGLE) & (roofs[aspect_field] == 0)\n",
"irrad_new_shed = roofs.loc[ new_shed_south, Gt_field ].mean()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1219.4385603100586"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"irrad_new_shed"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"factor = irrad_new_shed / irrad_curr_tilt"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"<style scoped>\n",
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>radiation_kWh_m2_a</th>\n",
" </tr>\n",
" <tr>\n",
" <th>NEIGUNG</th>\n",
" <th>AUSRICHTUNG</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
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" <tr>\n",
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" <th>-180.0</th>\n",
" <td>1.357936</td>\n",
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" <tr>\n",
" <th>-179.0</th>\n",
" <td>1.277023</td>\n",
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" <th>-177.0</th>\n",
" <td>1.247399</td>\n",
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" <tr>\n",
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" <td>1.257432</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <th>...</th>\n",
" <td>...</td>\n",
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" <tr>\n",
" <th rowspan=\"5\" valign=\"top\">10</th>\n",
" <th>176.0</th>\n",
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" <tr>\n",
" <th>177.0</th>\n",
" <td>1.431724</td>\n",
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" <tr>\n",
" <th>178.0</th>\n",
" <td>1.183947</td>\n",
" </tr>\n",
" <tr>\n",
" <th>179.0</th>\n",
" <td>1.198491</td>\n",
" </tr>\n",
" <tr>\n",
" <th>180.0</th>\n",
" <td>1.470078</td>\n",
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"</table>\n",
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"</div>"
],
"text/plain": [
" radiation_kWh_m2_a\n",
"NEIGUNG AUSRICHTUNG \n",
"0 0.0 1.059104\n",
"1 -180.0 1.357936\n",
" -179.0 1.277023\n",
" -177.0 1.247399\n",
" -176.0 1.257432\n",
"... ...\n",
"10 176.0 1.237881\n",
" 177.0 1.431724\n",
" 178.0 1.183947\n",
" 179.0 1.198491\n",
" 180.0 1.470078\n",
"\n",
"[3453 rows x 1 columns]"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"factor"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"def scenario_1_flat( roofs, area_field, Gt_field = 'radiation_kWh_m2_a',\n",
" tilt_field = 'NEIGUNG', roof_area_field = 'FLAECHE', aspect_field = 'AUSRICHTUNG' ):\n",
"# Scenario 1: 70% availabele area on flat roofs due to shed orientation, 10° slope, all roofs < 10° considered for shed\n",
" \n",
" # Define scenario:\n",
" AREA_PERC = 0.7\n",
" FLAT_THRESH = 10 # degree\n",
" SHED_ANGLE = 10 # degree\n",
" \n",
" all_flat_roofs = roofs[tilt_field] <= FLAT_THRESH\n",
" zero_flat_roofs = roofs[tilt_field] == 0\n",
" nonzero_flat_roofs = (roofs[tilt_field] > 0) & (roofs[tilt_field] <= FLAT_THRESH)\n",
" \n",
" # Set the orientation on all flat roofs to 0\n",
" oofs.loc[ zero_flat_roofs, aspect_field ] = 0\n",
" \n",
" # adjust the area on previously flat roofs: multiply area with 1.4 (70% instead of 50%)\n",
" roofs.loc[ zero_flat_roofs, area_field ] = roofs.loc[ zero_flat_roofs, area_field ] * (AREA_PERC / 0.5)\n",
" \n",
" # adjust the area on previously non-sheded roofs: multiply area with 0.7\n",
" roofs.loc[ nonzero_flat_roofs, area_field ] = roofs.loc[ nonzero_flat_roofs, area_field ] * AREA_PERC\n",
" \n",
" # assure no available area is larger than the total roof area\n",
" roofs.loc[ all_flat_roofs, area_field ] = roofs.loc[ all_flat_roofs, [area_field, roof_area_field] ].min(axis = 1)\n",
" \n",
" # adjust the tilted radiation: get the mean radiation per tilt angle and compute the ratio to the new shed angle\n",
" irrad_curr_tilt = roofs.loc[ all_flat_roofs, (tilt_field, aspect_field, Gt_field) ].groupby( tilt_field ).mean() \n",
" \n",
" \n",
" irrad_new_shed = roofs.loc[ new_shed_south, (tilt_field, Gt_field) ].groupby( tilt_field ).mean().values \n",
" \n",
" irrad_factor = irrad_new_shed / irrad_curr_tilt\n",
" \n",
" # Map the ratio per tilt angle to the roofs and multiply with the tilted radiation\n",
" mapped_irrad_factor = roofs.loc[ all_flat_roofs, tilt_field ].map( irrad_factor[Gt_field] )\n",
" roofs.loc[ all_flat_roofs, Gt_field ] = roofs.loc[ all_flat_roofs, Gt_field ] * mapped_irrad_factor\n",
" \n",
" # Set the orientation on all flat roofs to 0\n",
" roofs.loc[ all_flat_roofs, aspect_field ] = 0\n",
" \n",
" return roofs"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def scenario_2_flat( roofs, area_field, tilt_field = 'NEIGUNG', Gt_field = 'radiation_kWh_m2_a' ):\n",
"# Scenario 1: 70% availabele area on flat roofs due to shed orientation, 10° slope, all roofs < 10° considered for shed\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"scenarios_flat = {\n",
" '0' : lambda roofs, area_field : None ,\n",
" '1' : lambda roofs, area_field : scenario_1_flat( roofs, area ),\n",
" '2' : lambda roofs, area_field : scenario_2_flat( roofs, area ),\n",
"}"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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