data/notebooks/Lab/3_deforestation_risk.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "41ba55d0",
"metadata": {},
"source": [
"## Deforestation Impact\n",
"\n",
"The deforestation (or land use change) due to commodity driven agriculture is a useful measure of the impact a comapnys supply chain has on nature.\n",
"\n",
"Here we attempt to measure the likelihood that deforestation in an area is due to the presence of some commodity production, as well as the impact on the quality of forest as a result.\n",
"\n",
"A supply chain should aim to minimise the amount of deforestation as a result of it's presence, as per SDG targets 15.1 and 15.2.\n",
"\n",
"\n",
"Potential datasets:\n",
"\n",
"- "
]
},
{
"cell_type": "markdown",
"id": "ab8256a4",
"metadata": {},
"source": [
"### Import libraries:"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "58a2b62b",
"metadata": {},
"outputs": [],
"source": [
"import geopandas as gpd\n",
"import pandas as pd\n",
"from shapely.geometry import Point\n",
"import rasterio as rio\n",
"import rasterio.plot\n",
"import matplotlib.pyplot as plt\n",
"from rasterio.plot import show_hist\n",
"import time\n",
"from rasterstats import gen_zonal_stats, gen_point_query\n",
"from shapely.geometry import shape, mapping\n",
"import folium\n",
"from rasterstats import gen_zonal_stats, gen_point_query\n",
"import h3\n",
"import os\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "c0b4cbb2",
"metadata": {},
"outputs": [],
"source": [
"from processing.geolocating_data import GeolocateAddress"
]
},
{
"cell_type": "markdown",
"id": "34d44fe1",
"metadata": {},
"source": [
"## Inspect Satelligence Data\n",
" \n",
" \n",
"As per SDG 15.1 and 15.2 - we are interested in:\n",
"\n",
"- 15.1.1 - Forest Area as a proportion of Land.\n",
"- 15.2.1 - Progress towards sustainable forest management\n",
"\n",
"We should extract the % area cover of forest in the region, as well as change.\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "7bb132de",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['IND_Riau_outline.cpg',\n",
" 'IDN_Riau_Baseline_2019',\n",
" 'forest_and_plantation_baseline',\n",
" 'IND_Riau_outline.shp',\n",
" 'carbonstock',\n",
" 'LandGriffon_Satelligence_Data_sample-20210531T141013Z-001.zip',\n",
" 'IND_Riau_outline.prj',\n",
" 'change_detection',\n",
" 'IND_Riau_outline.dbf',\n",
" 'IND_Riau_outline.shx',\n",
" 'IDN_Riau_outline.geojson']"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"input_path = '../../datasets/raw/satelligence_sample_data'\n",
"\n",
"os.listdir(input_path)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "5077e3aa",
"metadata": {},
"outputs": [],
"source": [
"baseline_path = input_path + '/forest_and_plantation_baseline'\n",
"change_path = input_path + '/change_detection'"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "f21f4ff3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['/IDN_Riau_Forest_and_plantation_baseline_20180101.tif.aux.xml',\n",
" '/IDN_Riau_Forest_and_plantation_baseline_20180101.tif',\n",
" '/IDN_Riau_baseline_2019.tif']"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Baseline Forest\n",
"\n",
"files = [f\"/{f}\" for f in os.listdir(baseline_path) if '.tif' in f]\n",
"files"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "d77751dd",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Driver: GTiff/GeoTIFF',\n",
" 'Files: ../../datasets/raw/satelligence_sample_data/forest_and_plantation_baseline/IDN_Riau_Forest_and_plantation_baseline_20180101.tif',\n",
" ' ../../datasets/raw/satelligence_sample_data/forest_and_plantation_baseline/IDN_Riau_Forest_and_plantation_baseline_20180101.tif.aux.xml',\n",
" 'Size is 14063, 14995',\n",
" 'Coordinate System is:',\n",
" 'GEOGCRS[\"WGS 84\",',\n",
" ' DATUM[\"World Geodetic System 1984\",',\n",
" ' ELLIPSOID[\"WGS 84\",6378137,298.257223563,',\n",
" ' LENGTHUNIT[\"metre\",1]]],',\n",
" ' PRIMEM[\"Greenwich\",0,',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' CS[ellipsoidal,2],',\n",
" ' AXIS[\"latitude\",north,',\n",
" ' ORDER[1],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' AXIS[\"longitude\",east,',\n",
" ' ORDER[2],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' ID[\"EPSG\",4326]]',\n",
" 'Data axis to CRS axis mapping: 2,1',\n",
" 'Origin = (100.024529999999999,2.918900000000000)',\n",
" 'Pixel Size = (0.000269494417976,-0.000269495165055)',\n",
" 'Metadata:',\n",
" ' AREA_OR_POINT=Area',\n",
" 'Image Structure Metadata:',\n",
" ' COMPRESSION=DEFLATE',\n",
" ' INTERLEAVE=BAND',\n",
" ' PREDICTOR=2',\n",
" 'Corner Coordinates:',\n",
" 'Upper Left ( 100.0245300, 2.9189000) (100d 1\\'28.31\"E, 2d55\\' 8.04\"N)',\n",
" 'Lower Left ( 100.0245300, -1.1221800) (100d 1\\'28.31\"E, 1d 7\\'19.85\"S)',\n",
" 'Upper Right ( 103.8144300, 2.9189000) (103d48\\'51.95\"E, 2d55\\' 8.04\"N)',\n",
" 'Lower Right ( 103.8144300, -1.1221800) (103d48\\'51.95\"E, 1d 7\\'19.85\"S)',\n",
" 'Center ( 101.9194800, 0.8983600) (101d55\\'10.13\"E, 0d53\\'54.10\"N)',\n",
" 'Band 1 Block=14063x1 Type=Float32, ColorInterp=Gray',\n",
" ' Min=0.000 Max=2.000 ',\n",
" ' Minimum=0.000, Maximum=2.000, Mean=1.074, StdDev=0.544',\n",
" ' NoData Value=-3.4028234663852886e+38',\n",
" ' Metadata:',\n",
" ' STATISTICS_MAXIMUM=2',\n",
" ' STATISTICS_MEAN=1.0742993293746',\n",
" ' STATISTICS_MINIMUM=0',\n",
" ' STATISTICS_STDDEV=0.54391323360661',\n",
" ' STATISTICS_VALID_PERCENT=47.69']"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"file = baseline_path + files[1]\n",
"\n",
"#explore datasets info for calculation - the three raster need to have the same extent and projection\n",
"baseline_info = !gdalinfo $file\n",
"baseline_info"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "8c3e9e9a",
"metadata": {},
"outputs": [],
"source": [
"from matplotlib.colors import ListedColormap\n",
"custom_cmap = ListedColormap(['#ffffff','#9bff8f','#73a367'])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "e908c247",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#check 2018 baseline\n",
"\n",
"# Legend\n",
"# 0 Non forest \n",
"# 1 Forest\n",
"# 2 Primary Forest\n",
"\n",
"with rio.open(file) as src:\n",
" image_array = src.read(1)\n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" rio.plot.show(image_array, vmin=0, vmax=2, cmap=custom_cmap, ax=ax, transform=src.transform)\n",
" ax.set_title('Baseline tree cover 2018')\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "32dad621",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Driver: GTiff/GeoTIFF',\n",
" 'Files: ../../datasets/raw/satelligence_sample_data/forest_and_plantation_baseline/IDN_Riau_baseline_2019.tif',\n",
" 'Size is 63007, 42602',\n",
" 'Coordinate System is:',\n",
" 'GEOGCRS[\"WGS 84\",',\n",
" ' DATUM[\"World Geodetic System 1984\",',\n",
" ' ELLIPSOID[\"WGS 84\",6378137,298.257223563,',\n",
" ' LENGTHUNIT[\"metre\",1]]],',\n",
" ' PRIMEM[\"Greenwich\",0,',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' CS[ellipsoidal,2],',\n",
" ' AXIS[\"latitude\",north,',\n",
" ' ORDER[1],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' AXIS[\"longitude\",east,',\n",
" ' ORDER[2],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' ID[\"EPSG\",4326]]',\n",
" 'Data axis to CRS axis mapping: 2,1',\n",
" 'Origin = (99.140950000000004,2.593080000000000)',\n",
" 'Pixel Size = (0.000089831447300,-0.000089831463312)',\n",
" 'Metadata:',\n",
" ' AREA_OR_POINT=Area',\n",
" ' TIFFTAG_SOFTWARE=GRASS GIS 7.8.5 with GDAL 3.2.1',\n",
" 'Image Structure Metadata:',\n",
" ' COMPRESSION=LZW',\n",
" ' INTERLEAVE=BAND',\n",
" 'Corner Coordinates:',\n",
" 'Upper Left ( 99.1409500, 2.5930800) ( 99d 8\\'27.42\"E, 2d35\\'35.09\"N)',\n",
" 'Lower Left ( 99.1409500, -1.2339200) ( 99d 8\\'27.42\"E, 1d14\\' 2.11\"S)',\n",
" 'Upper Right ( 104.8009600, 2.5930800) (104d48\\' 3.46\"E, 2d35\\'35.09\"N)',\n",
" 'Lower Right ( 104.8009600, -1.2339200) (104d48\\' 3.46\"E, 1d14\\' 2.11\"S)',\n",
" 'Center ( 101.9709550, 0.6795800) (101d58\\'15.44\"E, 0d40\\'46.49\"N)',\n",
" 'Band 1 Block=63007x1 Type=Byte, ColorInterp=Palette',\n",
" ' NoData Value=255',\n",
" ' Color Table (RGB with 256 entries)',\n",
" ' 0: 68,1,84,255',\n",
" ' 1: 65,68,135,255',\n",
" ' 2: 42,120,142,255',\n",
" ' 3: 34,168,132,255',\n",
" ' 4: 122,209,81,255',\n",
" ' 5: 253,231,37,255',\n",
" ' 6: 0,0,0,255',\n",
" ' 7: 0,0,0,255',\n",
" ' 8: 0,0,0,255',\n",
" ' 9: 0,0,0,255',\n",
" ' 10: 0,0,0,255',\n",
" ' 11: 0,0,0,255',\n",
" ' 12: 0,0,0,255',\n",
" ' 13: 0,0,0,255',\n",
" ' 14: 0,0,0,255',\n",
" ' 15: 0,0,0,255',\n",
" ' 16: 0,0,0,255',\n",
" ' 17: 0,0,0,255',\n",
" ' 18: 0,0,0,255',\n",
" ' 19: 0,0,0,255',\n",
" ' 20: 0,0,0,255',\n",
" ' 21: 0,0,0,255',\n",
" ' 22: 0,0,0,255',\n",
" ' 23: 0,0,0,255',\n",
" ' 24: 0,0,0,255',\n",
" ' 25: 0,0,0,255',\n",
" ' 26: 0,0,0,255',\n",
" ' 27: 0,0,0,255',\n",
" ' 28: 0,0,0,255',\n",
" ' 29: 0,0,0,255',\n",
" ' 30: 0,0,0,255',\n",
" ' 31: 0,0,0,255',\n",
" ' 32: 0,0,0,255',\n",
" ' 33: 0,0,0,255',\n",
" ' 34: 0,0,0,255',\n",
" ' 35: 0,0,0,255',\n",
" ' 36: 0,0,0,255',\n",
" ' 37: 0,0,0,255',\n",
" ' 38: 0,0,0,255',\n",
" ' 39: 0,0,0,255',\n",
" ' 40: 0,0,0,255',\n",
" ' 41: 0,0,0,255',\n",
" ' 42: 0,0,0,255',\n",
" ' 43: 0,0,0,255',\n",
" ' 44: 0,0,0,255',\n",
" ' 45: 0,0,0,255',\n",
" ' 46: 0,0,0,255',\n",
" ' 47: 0,0,0,255',\n",
" ' 48: 0,0,0,255',\n",
" ' 49: 0,0,0,255',\n",
" ' 50: 0,0,0,255',\n",
" ' 51: 0,0,0,255',\n",
" ' 52: 0,0,0,255',\n",
" ' 53: 0,0,0,255',\n",
" ' 54: 0,0,0,255',\n",
" ' 55: 0,0,0,255',\n",
" ' 56: 0,0,0,255',\n",
" ' 57: 0,0,0,255',\n",
" ' 58: 0,0,0,255',\n",
" ' 59: 0,0,0,255',\n",
" ' 60: 0,0,0,255',\n",
" ' 61: 0,0,0,255',\n",
" ' 62: 0,0,0,255',\n",
" ' 63: 0,0,0,255',\n",
" ' 64: 0,0,0,255',\n",
" ' 65: 0,0,0,255',\n",
" ' 66: 0,0,0,255',\n",
" ' 67: 0,0,0,255',\n",
" ' 68: 0,0,0,255',\n",
" ' 69: 0,0,0,255',\n",
" ' 70: 0,0,0,255',\n",
" ' 71: 0,0,0,255',\n",
" ' 72: 0,0,0,255',\n",
" ' 73: 0,0,0,255',\n",
" ' 74: 0,0,0,255',\n",
" ' 75: 0,0,0,255',\n",
" ' 76: 0,0,0,255',\n",
" ' 77: 0,0,0,255',\n",
" ' 78: 0,0,0,255',\n",
" ' 79: 0,0,0,255',\n",
" ' 80: 0,0,0,255',\n",
" ' 81: 0,0,0,255',\n",
" ' 82: 0,0,0,255',\n",
" ' 83: 0,0,0,255',\n",
" ' 84: 0,0,0,255',\n",
" ' 85: 0,0,0,255',\n",
" ' 86: 0,0,0,255',\n",
" ' 87: 0,0,0,255',\n",
" ' 88: 0,0,0,255',\n",
" ' 89: 0,0,0,255',\n",
" ' 90: 0,0,0,255',\n",
" ' 91: 0,0,0,255',\n",
" ' 92: 0,0,0,255',\n",
" ' 93: 0,0,0,255',\n",
" ' 94: 0,0,0,255',\n",
" ' 95: 0,0,0,255',\n",
" ' 96: 0,0,0,255',\n",
" ' 97: 0,0,0,255',\n",
" ' 98: 0,0,0,255',\n",
" ' 99: 0,0,0,255',\n",
" ' 100: 0,0,0,255',\n",
" ' 101: 0,0,0,255',\n",
" ' 102: 0,0,0,255',\n",
" ' 103: 0,0,0,255',\n",
" ' 104: 0,0,0,255',\n",
" ' 105: 0,0,0,255',\n",
" ' 106: 0,0,0,255',\n",
" ' 107: 0,0,0,255',\n",
" ' 108: 0,0,0,255',\n",
" ' 109: 0,0,0,255',\n",
" ' 110: 0,0,0,255',\n",
" ' 111: 0,0,0,255',\n",
" ' 112: 0,0,0,255',\n",
" ' 113: 0,0,0,255',\n",
" ' 114: 0,0,0,255',\n",
" ' 115: 0,0,0,255',\n",
" ' 116: 0,0,0,255',\n",
" ' 117: 0,0,0,255',\n",
" ' 118: 0,0,0,255',\n",
" ' 119: 0,0,0,255',\n",
" ' 120: 0,0,0,255',\n",
" ' 121: 0,0,0,255',\n",
" ' 122: 0,0,0,255',\n",
" ' 123: 0,0,0,255',\n",
" ' 124: 0,0,0,255',\n",
" ' 125: 0,0,0,255',\n",
" ' 126: 0,0,0,255',\n",
" ' 127: 0,0,0,255',\n",
" ' 128: 0,0,0,255',\n",
" ' 129: 0,0,0,255',\n",
" ' 130: 0,0,0,255',\n",
" ' 131: 0,0,0,255',\n",
" ' 132: 0,0,0,255',\n",
" ' 133: 0,0,0,255',\n",
" ' 134: 0,0,0,255',\n",
" ' 135: 0,0,0,255',\n",
" ' 136: 0,0,0,255',\n",
" ' 137: 0,0,0,255',\n",
" ' 138: 0,0,0,255',\n",
" ' 139: 0,0,0,255',\n",
" ' 140: 0,0,0,255',\n",
" ' 141: 0,0,0,255',\n",
" ' 142: 0,0,0,255',\n",
" ' 143: 0,0,0,255',\n",
" ' 144: 0,0,0,255',\n",
" ' 145: 0,0,0,255',\n",
" ' 146: 0,0,0,255',\n",
" ' 147: 0,0,0,255',\n",
" ' 148: 0,0,0,255',\n",
" ' 149: 0,0,0,255',\n",
" ' 150: 0,0,0,255',\n",
" ' 151: 0,0,0,255',\n",
" ' 152: 0,0,0,255',\n",
" ' 153: 0,0,0,255',\n",
" ' 154: 0,0,0,255',\n",
" ' 155: 0,0,0,255',\n",
" ' 156: 0,0,0,255',\n",
" ' 157: 0,0,0,255',\n",
" ' 158: 0,0,0,255',\n",
" ' 159: 0,0,0,255',\n",
" ' 160: 0,0,0,255',\n",
" ' 161: 0,0,0,255',\n",
" ' 162: 0,0,0,255',\n",
" ' 163: 0,0,0,255',\n",
" ' 164: 0,0,0,255',\n",
" ' 165: 0,0,0,255',\n",
" ' 166: 0,0,0,255',\n",
" ' 167: 0,0,0,255',\n",
" ' 168: 0,0,0,255',\n",
" ' 169: 0,0,0,255',\n",
" ' 170: 0,0,0,255',\n",
" ' 171: 0,0,0,255',\n",
" ' 172: 0,0,0,255',\n",
" ' 173: 0,0,0,255',\n",
" ' 174: 0,0,0,255',\n",
" ' 175: 0,0,0,255',\n",
" ' 176: 0,0,0,255',\n",
" ' 177: 0,0,0,255',\n",
" ' 178: 0,0,0,255',\n",
" ' 179: 0,0,0,255',\n",
" ' 180: 0,0,0,255',\n",
" ' 181: 0,0,0,255',\n",
" ' 182: 0,0,0,255',\n",
" ' 183: 0,0,0,255',\n",
" ' 184: 0,0,0,255',\n",
" ' 185: 0,0,0,255',\n",
" ' 186: 0,0,0,255',\n",
" ' 187: 0,0,0,255',\n",
" ' 188: 0,0,0,255',\n",
" ' 189: 0,0,0,255',\n",
" ' 190: 0,0,0,255',\n",
" ' 191: 0,0,0,255',\n",
" ' 192: 0,0,0,255',\n",
" ' 193: 0,0,0,255',\n",
" ' 194: 0,0,0,255',\n",
" ' 195: 0,0,0,255',\n",
" ' 196: 0,0,0,255',\n",
" ' 197: 0,0,0,255',\n",
" ' 198: 0,0,0,255',\n",
" ' 199: 0,0,0,255',\n",
" ' 200: 0,0,0,255',\n",
" ' 201: 0,0,0,255',\n",
" ' 202: 0,0,0,255',\n",
" ' 203: 0,0,0,255',\n",
" ' 204: 0,0,0,255',\n",
" ' 205: 0,0,0,255',\n",
" ' 206: 0,0,0,255',\n",
" ' 207: 0,0,0,255',\n",
" ' 208: 0,0,0,255',\n",
" ' 209: 0,0,0,255',\n",
" ' 210: 0,0,0,255',\n",
" ' 211: 0,0,0,255',\n",
" ' 212: 0,0,0,255',\n",
" ' 213: 0,0,0,255',\n",
" ' 214: 0,0,0,255',\n",
" ' 215: 0,0,0,255',\n",
" ' 216: 0,0,0,255',\n",
" ' 217: 0,0,0,255',\n",
" ' 218: 0,0,0,255',\n",
" ' 219: 0,0,0,255',\n",
" ' 220: 0,0,0,255',\n",
" ' 221: 0,0,0,255',\n",
" ' 222: 0,0,0,255',\n",
" ' 223: 0,0,0,255',\n",
" ' 224: 0,0,0,255',\n",
" ' 225: 0,0,0,255',\n",
" ' 226: 0,0,0,255',\n",
" ' 227: 0,0,0,255',\n",
" ' 228: 0,0,0,255',\n",
" ' 229: 0,0,0,255',\n",
" ' 230: 0,0,0,255',\n",
" ' 231: 0,0,0,255',\n",
" ' 232: 0,0,0,255',\n",
" ' 233: 0,0,0,255',\n",
" ' 234: 0,0,0,255',\n",
" ' 235: 0,0,0,255',\n",
" ' 236: 0,0,0,255',\n",
" ' 237: 0,0,0,255',\n",
" ' 238: 0,0,0,255',\n",
" ' 239: 0,0,0,255',\n",
" ' 240: 0,0,0,255',\n",
" ' 241: 0,0,0,255',\n",
" ' 242: 0,0,0,255',\n",
" ' 243: 0,0,0,255',\n",
" ' 244: 0,0,0,255',\n",
" ' 245: 0,0,0,255',\n",
" ' 246: 0,0,0,255',\n",
" ' 247: 0,0,0,255',\n",
" ' 248: 0,0,0,255',\n",
" ' 249: 0,0,0,255',\n",
" ' 250: 0,0,0,255',\n",
" ' 251: 0,0,0,255',\n",
" ' 252: 0,0,0,255',\n",
" ' 253: 0,0,0,255',\n",
" ' 254: 0,0,0,255',\n",
" ' 255: 0,0,0,0']"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"file = baseline_path + files[2]\n",
"\n",
"#explore datasets info for calculation - the three raster need to have the same extent and projection\n",
"baseline_info = !gdalinfo $file\n",
"baseline_info"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "74a5b200",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA1EAAAJOCAYAAABWco1QAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOz9e3Rt0XfXh82FfxYPW8KldoMxt1gVoBvzBl0MoVcxipqAeIgO0hTScEUZqcvjFn5D/EbTNgOSMOokfeRmBC7B4RWOEh5NgHANEW1RFThyGJCrn2NDjK8SywpDGMeYRyzZGITj1T/O/q7z3XPPtfba5xy952cMDUnn7LP32o9zzvruOed3hhijOI7jOI7jOI7jOHX8sPsegOM4juM4juM4zmPCRZTjOI7jOI7jOM4AXEQ5juM4juM4juMMwEWU4ziO4ziO4zjOAFxEOY7jOI7jOI7jDMBFlOM4juM4juM4zgBcRDmO4zi9hBB+bQjhG+n/7wsh/M/uc0yO4ziOc1+4iHIcx3lkhBD+2xDCDzRC5u+FEP7TEMKLuxxDjPGLY4zfsej1hhD+fAjhX1z0eh8TIYS9EMLnQwhXIYS/EUL4v4cQPkPP/5gQwn8SQvj+EMJfDyH88/Tcl4cQviGE8DdDCDGE8JVq3V8RQvgQQvi7zbp//R3umuM4zpPBRZTjOM7j5JfFGL9YRL5cRL5bRH7XPY/nTmAx8RTI7M+PEpHPisiXishXi8g/JSKfo+d/t4jciMg/JiL/GxH5PSGEn9I890Mi8v8WkV+Z2eR/KCIXzWt/iYj86yGEXzjfXjiO4zw/XEQ5juM8YmKM/0BE/riIfBUeCyH8khDCf9lEMi5DCP8qPfcjQgj/YQjh74QQ/vsQwscQwj/WPPejQwh/IITwXSGE7wwh/F9DCF9gbbeJcvzE5u8/FEL43U1E7DqE8JdDCGu07MsQwp9roh9nIYR/LrPOrxOR1yLyvomyvadt/aYQwn8jIv9N89gvDSF8c7MPfzGE8NNpPT8uhPAnQgjfE0K4CCH85tzxCyH8yBDCv9VEdL43hPCNIYQf2Tz3y0MI39ps48+HEP7x5vF/KYTwx9V6/p0Qwu/sO45NWuR/HkL4t0MIf0dE/lVRxBh/T4zxJMZ4E2P8ThH5wyLyC5rXf5FMBNJvizF+X4zxG0XkG0Tk1zSv/e4Y478rIh+Nff1iEfkaEfm6GOM/ijF+i0yunV+XOz6O4ziOjYsox3GcR0wI4UeJyP9aRP4SPfz9IvJGRL5EJtGG3xBC+BXNc3si8qNF5IWI/I9F5NeLyA80z/0hEflBEfmJIvKzROSfFpHa1LpfJSL/moj8j0Tk20Xk65rxfZGI/DkR+SMi8j9plvt3QwhfpVcQY/yXReRERN426YJv6elfIZOozFeFEH6WiPxBEfnfN/vw74nIN4QQfngI4YeJyJ8WkW8Rka+QSRTnsyGEfyYz7v+niPwcEfknROTHiMj/UUR+KITwk0Xkj8okIvRlInIoIn86hLAkIn9MRHZCCMvNPn6BiPxzzT6K9B/HrxaR75BJNOjrMuNiNkXkW5u/f7KI/GCM8b+m579FRH5K51VdgvqNv39qxWsdx3EcwkWU4zjO4+RPhRD+exH5XhH5X4jI/wNPxBj/fIzxr8YYfyjG+FdkIgb+yebpfyQT4fETY4z/Q4zx8zHGqyYatSMin40xfn+M8W+JyL8tE9FTw38SY/wvYow/KJPIyc9sHv+lIvLfxhj//RjjD8YY/0sR+RMi8r8auL//Rozx78YYf0BEvlZE/r0Y419u9mEkIv9QRH6eiLwSkS+LMf6OJpLzHSLy+6z9aATXrxOR3xJj/M5mXX8xxvgPZSJM/9MY45+LMf4jmYitHyki/0SM8a+LyDeJyP+yWdWWiPz9GONfqjyOfzPG+Lua4/EDUiCE8OtEZKPZvojIF4vIlVrse0Vkue8AxhivReQ/F5Hf1kQkf7ZMolo/qu+1juM4TpsnlVvuOI7zjPgVMcajJgqyKyJ/IYTwVTHG/y6E8NUi8m/KJMKwJCI/XET+4+Z1/4FMolB/LITwJTKpkfmXReQniMgXish3hZACFT9MRC4rx/Pf0d9/XyaTfWnW+9WN4AOfacYxBB7HTxCRvRDC/4EeWxKRHyci/4OI/Di1vS+QSYRL86Ui8iNE5Nx47seJyF/HPzHGHwohXMokuiUyiTr9ahE5EJF/XqZRqJrjWHVMm+jhvyEi2zHGv908/H0isqIWXRGR65p1yqSG6nc3Y/gOmZz/miiW4ziOQ3gkynEc5xHTRE/+pEzEw/+8efiPyKRO5kWM8UeLyNdLk8LV1ML8azHGr5JJCtsvlUnq36VMojlfGmP8kuZnJcY47wT7UkT+Aq3zS5pUvd+Q26WKxy9lUtfD6/xRMcY/2jx3oZ5bjjHuGOv82yLyD0RkzXjub8pEEImISJgoohci8p3NQ/+xiHxNCOHHyyQiBRFVcxxz+5gIIfwimUTQflmM8a/SU/+1iHwmhPCT6LGfIdN0vyIxxr8eY/ylMcYvizF+tUyE5H9R81rHcRxniosox3GcR0yYsCuTWqRvax5eFpG/G2P8ByGEnyuTSAmW/4UhhJ/WRLCuZJLe90Mxxu8Skf+viPxbIYSVEMIPCyGshRD+SZmPPyMiPzmE8GtCCF/Y/LyCSYPBd4tIX/+p3ycivz6E8NXN/n9RmJhpLMtEEFw35g8/MoTwBSGEnxpCeKVXEmP8IZnUVr1rzCi+IITw80MIP1xE/iMR+SUhhH8qhPCFIvJbZSKO/mLz2u8RkT8vIv++TETbtzWPz30cQwhbMkmJ/JUxxpbAiTF+v4j8SRH5Hc1+/wKZRCL/A3r9j5BJ9FFE5Ic3/+O5fzyEsBxCWAoh/Asyqdd6Vzs2x3EcZ4KLKMdxnMfJnw4hfJ9MhNDXichejBHRiN8ok0n2tYj8dpkIAvBjZeLIdiUT0fUXZDoBfyOTtLi/JiJ/r1nuy+cZZFOH80/LpCbob8ok7e//JtNJvubfEZF/Nkz6X/3OzDpPReR/JyLvm3F+u4j82ua5/0Em0bWfKRMr778tIr9fJmYaFp8Tkb8qEze7v9uM7YfFGM9E5F+QiXX83xaRXyaTqNANvfaPiMi2TKNQYN7j+Nua8R6GiUvh94UQ/iw9/xtlUp/1t2RS7/Yb6NyLTIxCvq/5+5NMjUNERP4ZmaTx/T2ZmIr8okYQOo7jOAMIMfZmFTiO4ziO4ziO4zgNHolyHMdxHMdxHMcZgIsox3Ecx3Ecx3GcAbiIchzHcRzHcRzHGYCLKMdxHMdxHMdxnAE82Ga7X/pFIX7lj7nvUTh3zef/wX2PwHEcx3Gcp8rP+RH9yzgO+PzfkL8dY/wy67kHK6K+8seInH72vkfh3DXh032PwHEcx3Gcp8rpy/segfOYCJ+Tv557ztP5HMdxHMdxHMdxBuAiynEcx3Ecx3EcZwAuohzHcRzHcRzHcQbgIspxHMdxHMdxHGcALqIcx3Ecx3Ecx3EG4CLKcRzHcRzHcRxnAC6iHGcG3uxu3fcQHMdxHMdxnHvCRZTjDOTN7pZcvPh438NwHMdxHMdx7om5RVQI4UUI4T8LIfy1EMK3hhB+i7HM14QQvjeE8M3Nz2+fd7uOc1+4gHIcx3Ecx3nefGYB6/hBEfmtMcZvCiEsi8jnQwh/Lsb419RyJzHGX7qA7TmO4ziO4ziO49wbc0eiYozfFWP8pubvaxH5NhH5innX6zgPkddvl+97CI7jOI7jOM49s9CaqBDCV4rIzxKRv2w8/fNDCN8SQvizIYSfknn914YQTkMIp9/z/YscmeM4juM4juM4zmJYmIgKIXyxiPwJEflsjPFKPf1NIvITYow/Q0R+l4j8KWsdMcbfG2PciDFufNkXLWpkjrNYVi9f3fcQHMdxHMdxnHtkISIqhPCFMhFQfzjG+Cf18zHGqxjj9zV/H4rIF4YQvnQR23ac+2D18pWn9jmO4ziO4zxTFuHOF0TkD4jIt8UY32WW+bHNchJC+LnNdv/OvNt2nLuGo1An76/vcSSO4ziO4zjOfbEId75fICK/RkT+agjhm5vH/i8i8j8VEYkxfr2I/LMi8htCCD8oIj8gIr8qxhgXsG3HuTNev12WC5nYm3tKn+M4juM4zvNlbhEVY/xGEQk9y7wXkffzbstx7hMIp4sXH+XixUd5s7slBx+O73lUjuM4juM4zl2zUHc+x3nKaMF08eKj10U5juM4juM8Q1xEOc4ALl589FQ+x3Ecx3GcZ46LKMcZgAsox3Ecx3Ecx0WU41SAtL2DD8dy8OHYxZTjOI7jOM4zxkWU48zAxYuP6e83u1v3OBLHcRzHcRznrnER5TgzsHr5KvWJYkHlOI7jOI7jPH1cRDnOjCACtXr5yqNRjuM4juM4z4hFNNt1nCfPeCm0mqEh+rR6+cojUY7jOI7jOM8Mj0Q5zhy4gHIcx3Ecx3l+uIhynAo2b2JK2Xuzu+XufI7jOI7jOM8YF1GOU8HJ++sUdcrZnHtdlOM4juM4zvPARZTjVAI3vje7W6Zgunjx0YWU4ziO4zjOM8CNJRxnIBcvPiZBJTJpxHvy/lre7G55jZTjOI7jOM4zwEWU41Ty+u2yrF6+koP3x+mxN7tbIpciq7tuMuE4juM4jvNccBHlODPCqXsXLz6mGqnV3UndlOM4juM4jvM08Zoox6nk5P11Sxzhb45AHXw49oiU4ziO4zjOE8dFlONUok0j8D+79Ln9ueM4juM4ztPHRZTjVNKXoscW6I7jOI7jOM7TxUWU48wBekaJSMuxz3Ecx3Ecx3m6uIhynBnhiJMWULleUo7jOI7jOM7jx0WU4ywQy2zCcRzHcRzHeVq4xbnjLAhEng4+HCdziTe7W14jdUvoSJ8fZ8dxHMdx7gqPRDnOQF6/Xe48Zk3oEY3ytL7bwbKbdxzHcRzHuQtCjPG+x2Cy8SLE08/e9yicuyZ8uu8R9BNf5sf5ZnerlcrnZhPz4xEnx3EcZ1HEl/c9AucxET4nn48xbljPeSTKcQayt142jVi9fNVK53tOkSjeV+vv12+X5fXb5eIx4UgfL3fx4qNcvPgob3a30jJYF9ZrRQkdx3Ecx3EWjUeinAfFY4hEiYjE/RUJ7656l0Nk6uT99bOpj4LwuXjxsdN4mB8beixev12W1ctXnfVqE4/Vy1fP4jg7juM4w/FIlDMEj0Q5zoIJ764GRZhev12Wixcfn1ykREebsJ8QjuijhZ+SwCkdzze7W63USGwDgqokqhzHcRzHcRaNiyjHmZHRWT7aYTn1nby/flI1UiwIIZ5EpCNqmIMPx62IHI4Tp/tZ69aPYRs4nh55chzHcRznLnER5Tgzsre+lXXqQ+0OeMziSUeIUOfFUSUWTYg61XDw4bgjjvT6eDsczeLHMJ6ceHMcx3Ecx1kkLqIcZ0YOPhzL+Oi6Yx6BiExJSDwGswlOz9P7p4USxI0lYnS0yUq345Q/vbwWWrxdXsbapuM4juM4zm3gIspx5mBzezK550n8yfvrjph4jJP6Um2RtT9WBIoFEQukmvXhcQgo7Xio18nb97oox3Ecx3Fuk8/c9wAc5zFz8v5axi+PRZTzXl8622Op4bEiSyfvr+VE6urBYDCBx2v2mwUQ15Ot7k6X0eIJsOBa3X08x9lxHMdxnMeFR6IcZ07Cp3zkA8LBmsxrM4WHCBzwRPp7QPFrwOrlq5bY0al6/FruH8WGEdoSXf/m9SAKyON2HMdxHMdZNC6iHGcBjJeC+bh2obOee8imE5Z1OIwz8DfDvZz4dZyWB3g9IpIs0a31lgRcLsLlJhOO4ziO49wWLqIcZwGUGu/W1ENxFOY20OYXs6Ad8yCCrIiPFUlil73c6yC0dENdRLG0gLOifNimNsRwHMdxHMdZFC6iHOeW6Uvngz33bQLRsqjUQS2CXr9dTlEoka6hhEi+PgmCR1udc/ofN/Hl9Vtgmy6kHMdxHMe5LVxEOc49oCf2LLRuY9LP9uOzCikIEqs3FICZBP/Pv61xldDbwm8IqlKa5MGHYzl5f71Q8eg4juM4jiPiIspxHgRIVcNk3zJemActbmpFhU6rA1z3xAIHUbWcwNF25TU26lqA6Tqt0r5wlG8RKY2O4ziO4zgiLqIc517QjWUBC4RFC6lFpAzqaBSbQVg9mvQ+sFtf33b4dX1YQkrXbJWiV47jOI7jOENwEeU4C6Rvgq5FhXax072mFpnmh/Q20BeNyokuHYEC2m0P29RNca0+UKXtsAArva7v+CCl0YWU4ziO4zjz4iLKcRZIn+DhqAhSzXS/o1yK26Iax6KXUh/srKfhaBQ76lnLMTo9sLaXEx+30jKcspfblgspx3Ecx3HmxUWU4yyYXN8inrSzBbiOtGjhEvdXJO6vmOuZFUSlatZlGUnw/rFphcZKy9P1WX3UCCheFnVSul+VtT43nHAcx3EcZxZCjPG+x2Cy8SLE08/e9yicuyZ8uu8RzI8WUVpA1AARcPDhWOLL5sGdldSPKifUbgsWJWw/bv2v0SYUtQJKL6uFml6Pte7axx5yw2PHcRxncaTvVMepIHxOPh9j3LCe80iU4ywYq/mrSH3qmoh00vxEROTwSuLLqYC6qyiKlR7HwrBvv/A8m1AwsxheDD2Wfa/11D7HcRzHcYbgIspxbhFt042aHf7h5UApyjQ6O5a4vyLjpXBLo27DY8ml1lkiBGl+J++vW5EeXZOVE0T68VqxVnpMCyr+//XbZRdTjuM4juNU4SLKcW4JnXLHdVDaea8kEMwUx8NJWt9dTfxZ+HAKHwRSn8DhMeYEl/Vbw5blNREsTkHE63PL4HkXUo7jOI7j9OEiynFuCSualKuV6mNz20jdO7yS8dG1jNZOzXUtWgxANFkpfSJd63M2ecDyr98uF0VQrrmvRU645dar654gnqyIlwspx3Ecx3FKuIhynDlg17wS1qTcilLlJu9F44PDKxmddWukWAxAwODveUQCR9B4fNyHSURSKp9V38XL6OjT0GiTJieuavcZ++DOfY7jOI7j5HAR5Th3QCndjUVNqRZqb70sAsZH162JPxs55PpXzSOoSmO1TCQQZdJiq6/3E9OX7lfCikbpdVt9u54rfG0gbfQ5Hw/HcRzHYVxEOc4cwHK8j9LkHZEdbTZhLSc7hcjXzsRsQkdQLCc9Fle87Xng6JFeH1u2L2Ib2E7N8kMEl+5/1dc8+SnD18Yizp3jOI7jPCVcRDnOjAzpNTGkqW3RZKIk2g6vWoYTEFO5VDq9bW78Owt6oo10QjaiyG1/KKV0v5xogrjj5/sEFsTgvMfmMcLRUd7/53YcHMdxHMfCRZTj3DI1jXEH1d9kolGb28vJgGK8FGT18lWve5+Ofs0qFngf8VvbmGMsNfbm86DTBnPP623r3ltW1E7kcVuhl64zXAel/bPq4RzHcRznOeIiynFmRYkZq96oFt1HqUQuGgXBgP5Ro7XT9Ds3eYaJA5tQ6J5WfQIP0aacW5/1mE6bw3Ml8ZMb/yzoeixEqXDs8dtaPyzdH6OY6juuLDBzTaMt3ITDcRzHeW64iHKcGYgvu2JmyKQzR+1rtOX55vayHHw4ltXLV7J3viF75xsiMhVU46Uw+TmaWpSjYe/46Hpild408Y37K/L67bKM1k5b48mZC2C7WIYf45okNm7AcqV+UH30NdLN0becFkfWPrPIekyGC33Xl1UHxr/ZaILpE/6O4ziO89RwEeU4C6TPynzo60uW51YTXqRbQWBs3sTJE1QvhfVu3sTp86BZDuILhhAi0wm2lfKHbXIKIfpKMSx8dPNhK8UuR86lb0gUa+jyXGfG+499f0xiirEikDjXiDKiv5eVqgk8GuU4juM8J1xEOc4CmbdexIpm1UzMkY6Gif54KSTRxEJpc3s6GW4JiEydlY4wlcalbct1VIrHid/aiEJvt2+frUa51k8O/VyfGQfGzRG2xyicQE4U4jHsNzdZBlaEynEcx3GeCyHG2L/UPbDxIsTTz973KJy7xoquPDTgynfbY+0zpIj7K1OhRIYS/Nj4qJtmtbk9EVkQV+Oj6+6yjajavImtZXkibY2NxRZed/L+OjtJ1z2ZbsNoAvQZWvRFwnTtlrZPZ8HxGOBzxfvDBhr8PISzPu+cmummE47jPHSGOOs6TvicfD7GuGE955Eox5mBvsa3i6BvQsoRpvFSkJP31+3Hjq7bEabmbwit1ctXrZqpFo0Qw7KoqeKULqtGCgKC1/v67XLL3hwRM21Gofd3loa6OXJW6DlRmHP1s86Jfuy2ozKcVqhZxLZxTi2BqM9Z6fw5juM4zlPGRZTjzEDNhPG2J9M64oGJ9eb28kQw6RS9w6vpYzsryb0vPWeBx1lUERAWvK9agLCQssRJ7jixW9+slHpG6b8hHHL1VryMruGy+mMtukboze7WxAzk6Lp17nUz5ZrrDsvo44v0R65Tw3J4DTsTalMRT+tzHMdxngsuohznlriTO/MQRWQGMT66bosiJaaSoYQym+iA52gbcnglcX+l49rHaXAHH447hhU6IiVSJ3ByNU1DzSNq4G3x3yfvr1PfLTzHIoS3s3r5KgmcRUbS3uxuyejs2Dxf+pjqfld6Pfo8WOeEI4wQixcvPqbaKDyGc6+PjYspx3Ec56njNVHOg+Kx1ERZ46xpqnsr46HaqBZKPO2db0wm4jXsrLRFFKJYVG918v66Uzcj0m5Ky5GrzZuYtTjHBB3HsK8+qtbJb4iQya0P+4l1jdZOU60Xw8to5rkukoAi+t4npbFgPPpYW3VRWBejj73ezmOrDXMc53nhNVHOELwmynHugEUJqKF38c3muxA8lI7XSt8bQrOOvfONaV3V0TTawuKCozSdGq2mporh/3NNe4FOPePGvPNGfWoaySLNDfvEzYg5zY/3aV6jDEtAlZa16pkYjMdyVrTWxyAK1dcUGY97ep/jOI7zlJlbRIUQXoQQ/rMQwl8LIXxrCOG3GMuEEMLvDCF8ewjhr4QQfva823Wc+wJOeLc1QewTY1a6VCsysWNEpjiaZGHVT6nHdTpZ3F9JaV5sQNEnpDS6rgjrtOqW9N85kTJEVPXZyMOAA8KAt83pf7x8zrp9KDkBxdeAroni33xMMTa9Hr2MSNv6HBEl7v2Fmim9nzr98jbdFh3HcRznPllEJOoHReS3xhi/SkR+noj8phDCV6llfrGI/KTm52tF5PcsYLuOcy/otDWRu+0VlHOJ21vfks3t5UnESKRlLgEh02muaxlQ1ALXPq7BqhBSFjk3POu5GhvyWnQ9EBspnLxvGzhY49H1Tyxs5hUQfcYUlj08BByETm4cLLJ03ytO7UPqJf7X0Tc2mwBa8HoTXsdxHOcpMreIijF+V4zxm5q/r0Xk20TkK9RiuyJyECf8JRH5khDCl8+7bcd5CNx1LVSu1qTjfnd4lQwk8LjVNwrLDnq89PzhlYyPrlsT65P317J3vmGKKY7cWE1da0WTfl2NoIIQ4MgKBAhACh+LDL1+K5pTcvmrIXuuRDrjs1wCtYDCcnyd6CgWjj/38tIuhLn+WPr48N+e1uc4juM8NRZaExVC+EoR+Vki8pfVU18hIpf0/9+QrtCSEMLXhhBOQwin3/P9ixyZ4ywOjrLw77u6487btCanBx+OUx+rVK9UqqvpE0ozMj7qNtm1BKAWoH2CtCadbyhcT2Rx8v66JRb0/xpOa0O057aEhNW3KVfzxFbl+nk8Z/Xv4pQ+FlVaMOm6KZH2sXMcx3Gcp8LCRFQI4YtF5E+IyGdjjDPNymKMvzfGuBFj3PiyL1rUyBxnsSDKAnvnu3Ajs5qa6poU/ZzsrPSbEtySgAI1pgg58cl22haLqIey1mmJDKS06SgVP8/CQhsvaMOJ20JHnkS6ETP8WGmhnMoHrJorK8rGAs163tP6HMdxnKfEQkRUCOELZSKg/nCM8U8ai3yniLyg/39885jjOBks4aQfL9FXh3Qn7KxI3F/pHbPlBCeSFx+LEiR6PVaaG8bDKW687MGH40ltmOolxcuXHPMWsQ+8bkST2OY8Z56BZXO9uHQ6no5Csai6ePExOTRqkwnUl3lan+M4jvNUWIQ7XxCRPyAi3xZjfJdZ7BtE5E3j0vfzROR7Y4zfNe+2Hee+0PUqi6yJyk00+fGau/on768naX3aOGJnZeIwOKuhhFpXL4a9eklQDJloW3U4i8JKk8O2rDq4zZvYGUcu4rNoSo54ufRT63VW/y3LhZCjbfw4C3c8x9fqffRRcxzHcZzbYBGRqF8gIr9GRLZCCN/c/OyEEH59COHXN8scish3iMi3i8jvE5HfuIDtOs69gHojkWl9jK6NmqVHjp7Yshsa16qgRiVX/8LAFCGJqUUIJ6bWeOLwKjuZ5ujP67fLnahbSXDpSMgiKa0PohDnRosHndq5CLc+i1oHP31NaRHEsCuhZdzR15cLNvalmjHHcRzHeewswp3vG2OMIcb402OMP7P5OYwxfn2M8eubZWKM8TfFGNdijD8txjhj10/HuX8wOeRolFVLM3TSzA51LKh4Mqr78uRStKy/98430g/c8gaJqr5le57X0TsdxYBrnDZhqKknmlWglCb4XOPDx517XeWc+vqMKhYBrzu3HyxCdRSplMqoBb1lJpFLA9RppLnr1HEcx3EeMwt153Oc5wBPokdnx63ak1qTiVLKHkctcNcfZgAcfcLEtkZMiXSNKNLfTXpfJ/Uv14B3DuK+LbRy6Wi8z7leRLn1LAJdE4Tfe+cb2XOoDUcWzd76lhlN6uu1pc0uWBhpUaVfp50Jre3xNa+jVW517jiO4zw1QowPoPjcYONFiKefve9ROHdN+HTfI+gn7q90BMXm9nKKIA2t+6idWPZNyjmCpRutQojpCI9eHmNPYmeR7n07k+O2tz7dTikdTZsi1KSHaZOFEjXLwrYb4LiEd1dp/DWphDg3en0lXr9d7kTvNre7gl3/P14KrWhQaXt6/DkhVruPfENBr2PW94fjOM4iiS/vewTOYyJ8Tj4fY9ywnvNIlOMM5fCqE6UZH12nep557rZbTVT7ohrc4wewOOFJNNfI8DK6ZgeNcRdmQNGsU3ZWOhElHUnRk3BMvEuRltuK/GjXO4hK1LzVCCI+N0MElAZCfSiIbnKdnuW2p48vW6TnUv/08SmJMLw/3OrccRzHeQq4iHKcWaAITfgkIjsrMl4KM00QuXcP/y9SV5SvhZYWKX13//FaqxEraqc2txcz8Q3vrjr1QxYcXeGaKYuaNL9FMFo7FdlZkb3zjVb9UGkfdEpbrcBevXzViULpWjnrNSJ2TRJfG7hG9di1NXmuKW9uvDwuq/4K19dt9lNzHMdxnLvCRZTjLIjNmyjjpdCx854FXRuVI1fjItKd0AI9cdYTfXbI47/nFVKoH7PSCnks2kyDx3fy/rp4TEqC0oqm5I4R82Z3y0zhxNi1cLZ6RSGSNk+0LL7sj7hpNz1L9IyXQmts+jntrnfx4mOrDlDEdv2zBJT+7al8juM4zlPBRZTjDCR8atuci4jI4STCsnkTZfMmStxfmcnmXGSYMcHFi0mDU4i38VJo3enP1f3kUudyk/AU5egTUrnUP/SmEtvuOxfhQEojO8bpFDRtmKBZSJpfk8LJUR4ITr1drntia3qMt4YaIZ4zbzh5f90yI4FlOR6vbcIMsWUxSy8vx3Ecx3lKuIhynBk4+HAsm9vLSRjsrU8my+Oj68ld+8MrGR9dy2jttCWotO11LmXK6s8DWCRhW60fY6wWuW2gfkUDgdYRkBqjH9XmTZykqDURDZ06qCMb+NvqLWXtT41Qqq3t0ZGTnKDRKWz8GNcHYbu1URiuvSrti3ZbZAt8a1tcW2ZZyTMwp+DIFEejaq4pUOtY6TiO4ziPCRdRjjMAnnSOl0ISHKO102kNC0+Am78hqPCDhrxYp57QcjSDJ6xcF5MElMISQFbvJetHW16zkEEE4+LFx3bzXiv6ZIzr4sVH2byJpmDCNmupTcWbJwqSxGSzLxzB6avP0vVF+vkSBx+OsxE9bTneeZ1CiySrDorXK9KtqQKbN7ET2eyLcpbs1x3HcRznMeMW586D4jFYnDO9VqmNEcHobBK50mYBmCwjUgPx9PrtciclDJGGjvX1TrteB1Exa+JaiobkarCsKA0/bkVqEMXA31heW5vzYxgDU4piWLVIWgTqsdbamuM1o7Pp2NjGXq87J47YbpyX67MdF+k2J0bUU1u/M7nzWzKksPZD10DpfeAx6D5pVoTOo1CO4zwU3OLcGYJbnDvOLcHpfH3LpUkxRxmaFDxEqsZLIZtihUlzZ0IKy/Xmh93sdMpXiZyAsl7PQiS8u+r8nLy/ls2bmNz4eIKuI25WWh+7E1qugaXx14qkPixxyEYbWixY24WY7IveMH0OeCVyTZd5nzlFD+vU9U8cjbIiUzpKicesv11AOY7jOE8RF1GOMy87K+0JdyNmOiYMFHXKcnglo7PjjpjSqX1761vpZ3N7OQmWvfPpzRLuD8Sv5efxmyNDq5evWtvDJLwvhcxaH9LHOALVZ0me6yXUV0vGWK6DfXT2MVOXxMcTZg38v4bTIPX+WnVJpZ5YVi1UDqxbOwPC/ATrZDgCxcvxfoLc8V2IkYfjOI7jPHBcRDlOBbphKcwiRCaRmM2b2IowIT1v73yjZRG9tz4xHDBd7lQt1ejsWOL+SqqhEpGO4x+7rzE82c5FkxAFwuScX6ObsvJ6WTTwMiy4rOOXW48FP6cbBPelHfbVSlluejqNTaez6ddzbRqOMQtRvTzbt4u0j5mFVRc1ProeJJ6syF8uIsbplyLd/e/rNeY1T47jOM5zw0WU4/SACSmiTWnCfTStWRofXae79ps3UcZH035Gq5evktCCSxtc7qxoVesxSveLL6dpV3qCzJPyk/fXLYFTYzhgCQ6ORkE46BTBXESIJ9WIPuExvZ7curSjnWWqUIo25QSDNn1AeltyVcwYdgDLAQ/HCMd7SApbTpxwVBFYUasascgpnlbNkkg78sQ1UFgW51ELLBbp7MAo4ql8juM4ztPFRZTjFNACAJNtRJ7GS2FiPoCoQfMYRxG0EOBoUsc8oBFgWRpBhb5QsFBnxz9OEctNsHkyrVO1tDDDbyvFTu9fznmPH8vV7fDfOOZ9TYe1oOIIVymtTAunlj18RkBBHOSs6nMpj7P2WrKiUUOMP/QyOoKoX1tTi8VGGZxeiOXgwOg4juM4Tx0XUY5TwcGHY9k730h362GcgAnj3vnGJE1PTSA5BU2n1V28+NgSX0mAAUSlchbiauI/XgoTg4qz45QKiNqqnI26JYC0EOK0QCvy1dfrSve1smqzrKiTJidSGCtyxaIqK5xqaI4xW9XH/ZUkYrFuHGcdhdH25zXsnW90Ipa1jnwWeC035K01srCubz0O7HMpHdJxHMdxngIuohynAE+EeZIIUYSoU8uxDb2hGlEj0p444449p41t3sTJhJlSuFig9Ta4FZkKAoiuRiRAVLG4Ygt1BtEmXcOD/a+ZsOvXceNZObzKRrSwLMAxK0XNLCwDhtbx1sIp05PJRDc2zogxS1wOiZTxekTqREmtMGPDCWyjRlBxWieLMEtEezTKcRzHeeq4iHKcAtrQ4fXb5VSXdPDhOEWj4n57Ip6iVtvTHjpcM8NpUXhOpJvCZUVuOqgJ/N75hm1cQcuPj647Yxbp1rBYk2q2+U5jJnQkq2Wd3Vi987Z1DVHORbBGPKFnkRZ/fXVOc9P0A8M51VboLJxqelUxQ9zuhjoSglwUUIvh3GsYr4NyHMdxngMuohynANcnYfLLE2UAFz4RSb2a2AgBZgpwxNNuaFwvhHoruPuVaoKwPbC5TQIHluo5QXV4JfFl2Xkt1whXR5O0a6BIt/dQK4p0eJVS4fi12t5cCyJel8Zq+ArhG94VBBSLq1xUivpwWT84/zjPnPrIJhZ8TdT2v2L0Ma1hSE2WZZbB67Guk1zUzXEcx3GeMi6iHKcHpDBxRCl3t/3gw7GEd1ctdz62wxaR1AcqpeutT9PdRmunSaiN1k471tsJrqWiZrurl68mtVBH19O0wqPr6YTfYHTWnQSzwx+AAGRLdYgUPWlGzRiOF5Y9+HA8FXXkPJhD9x9iwWdZlVt/Y9uzgj5c+Nk730hNhRF9YhGcExRWhAz7VCLV320vZ6NpJcOJ0nHKrcsyoRCZimerF5hexnEcx3GeMiHGh5m7vvEixNPP3vconLsmfLrvEbSJL2Vi8ND0fRKZTjJHa6cpAsH/g9Haaet1eC0EFFLMuN6JXzM6o4iSmjwjLS5hLGNSWA7HXvcw0iYS1oSZRZV2bbN6IsWXakwy6bdVMwHvszXn2jNw8GFSC5YEZ+5YZY61JZp1/ZZIO0JmPc/jLKVp6uOKGjYct731rU6UkMWP/pu3q9MJOZJknWO9PxwtLB0XROYcx3EeEq3vH8fpIXxOPh9j7PYcEZHP3PVgHOex8GZ3S+TsuCOExktBNl98FJFJdAgCSkTSb93jZ3R23EqrW718JZsvPsp4Z0XkfLocnP9O5FhGmPQbE/6T99cis3wRFIRW3J+IxQuZRlUuXnwUuZwuoyfXKdqxm9+kNSHfW9+aikQImwJsYlCqKdLRKBZ3IqfTBXNCynhs9fKVnIidxjZd93Q5q/mwHq8WLn2sXr4SeftRpBHOo7VTEWUOISIib/PHRgsoHKvXb5fTOa5J7XyzuyUH7+0+ZPjfo1GO4zjOU8fT+RwnAzujcV2LiKR0uZRyRy57TJrQNiKB0/gQiUrOeY0Ag+lCqY4nRTmGOMsBsk7f3F5up9dJ2wgBxwGTfssqHcsAKxVQj91KKbMcAzEWjpBADLAgsPodcQokTEB4P2uPXa3I0YKGx6vX19fHyxpDK/J4eJWMNPQ4+Df+rqlR6huL7tmFHmp4DuPUY3Ecx3Gcp4iLKMcpoZzyOo83vYNQNyMiqUYGIihFXJrn2FxB1zbBIj2+pJSDzGR/c3t5EvFq0g1LdU9pPY0JAsRKqm+CyKNaLjyvJ8jafKDT+0rKNUijs2OzDgo9lrj+DHVDmLBDmGirc6seCufDEn2LdOrD/mtBw/VO+jhhv3gfSsfs9dtuv7DxUuiYU2A7tXb0Im0BWKrRwpj1WHN9wob0r3Icx3Gcx4aLKMcpEN5dTeqXmshTmvyTmQPqm/jHYsypWCLtSXEzqR+tnXYmyymCwoJLpnf6kTrY25unSQ3ERBjOfx1XvSO7rofJTZBzhgS90P7DHvzk/XUSJhxNyaXB9UU+OvU5lTVkuWMAcwUWdno8pUiNRtcu8etO3l93UkQRxZwXLZysCJf1GivCNTTC5jiO4ziPFRdRjtPDyftrCZ8mdTx761MLchGZCivVeBW9kFp1PzKNZo3WTm1r7ZyBhBFhGq2dJkGGiFJHcBnomhhrwos0xVbdTAZu3poTCWY0SEPH7vXb5UlPrqPrVl8uETtdLmdgoOuTihbmBnvnG6ZDHaeylbAMNkBf2qMmt6zlrqiPt2W2wejoo3UjgGu/dN8rrv+axwnRcRzHcR4LLqIcpxKIhJP318niOnwqOArmRJI2izAm8KhTQqrd5k2cvqapxUrRm2YSHV9OBV8pKgVhx/UzneVpfNjnoVEpTYpwVNQirV6+kvFSSKIVk3qsA2NB1CruryTnQxZUHAm6ePGxP1pX2DeIJ4wPKYVWLy2dUpdLc+T/dR2aRauGjY7j6Kxt5qC3WyOccexev12uOk4cjWKB5VEox3Ec5zngIspx7oDcpHTzJqbaKZg9oM5KZOqYJyJm+h9+ZyeuPYJFGzTwa1BzIyK9kaYaIwlMuFuRvAbdEBhW73idTmXjyNSb3a1WqmXcXzGNMbTJh3k8M+O30gqt/WYDDpG28LKa1fYJUCtlcfXy1US8K+MRRD/RwJgFE0cVc1GpzZtoNlHmlEUel45G6XE6juM4zlPGRZTj3DY7K92eTvT4m90tCe8mphLh3VVbUDTigJvn6nWLSCflL1eXBRDBQcQn1WkxzfYsG2vr7xI6YrN3vjEVjRmhh0gPxAfc+xAFQpPf1tibKF9fzdaslEwbOK3R2q42gcDfQ6zOtWBBJDR8ko7LIrbLv/XjPDYG0TwcaxZeSNnTY+Fl3FTCcRzHeeq4iHKcu4T7E5E7X9xfkdHaabI3by1fgibMiNa00rEyERaIuoMPx7J3vtGO9NBrRmunxehJXw0Uiwr+mx30wrurjujD+Hn946WQxF8rYmLs45vdLdPkI62vtjkxvabPSU+LK45eWcep1NhWRFSPq+ljq5evWimNOM5IM91b32qlGvL2IYo4OgcxhLo6Todk8crkIk9DXAEdx3Ec5zHjzXYd57bRfYlUGtlIjkXOpo+fvL+WzbfLItvLMj6cRKYwSW25sSkhcPHi40SEGeIgGVTQa19vo9aoieSc2WNHxEengenJshYWSMXTQgrNfMHrt8vTPlvbyxPxIyKbzXblctLMN7yb1D7JS5FNoSbHxrgPPkyaFbdS1C7LBhklOAJTS4rmNI2IOW1SG14MER5YT+41HCnCunHcc1Gy0vaxH9yU19pmztzDcRzHcZ4iHolynNtCRZFStEcbSzRw3RQEz956wTJarcM0iGjGgQnu5vZyWqd2FdR1SWksS6FVA4P0Oa6XAezWlpucI33MSiMbH10nE43x0XVyCYQQ2LyJnXTHHPpYQHxUm0vQ+eOoDf7X6H5N+m8WUGw0MUtdlI7uwXBDC152zdNjxPM1Ag7r1eOw/nYcx3Gc54CLKMe5LTIOfK3aFaoJgnB6s7uVIkdwnKthdHY8WRZNdde30raQJpjWZYiP0kQ47q8kIQHDB8ATdhZGyVZc2uYMeI1lSMDHAeNEE96LFx9TfVi2jsvAEmuWuYVGi62SMMQ+lYDYyTXZrY1ycXNfHR3T0SAWULM6573Z3TIjkdiPoVbtjuM4jvMUcBHlOHPSN/mFkClN+mFd3apNaown9s43psX9PPHn9MDm773zjVRnNDo7bkebmvQ/bva7tz7tnWQ1+k00aX2YSHO9ERsmWM1lrZqiUjTK2nbn2GWiecCy++bxiTSRwYp+WrWUelXhB/tbU1dWAutiAwgLLdh0OmHNdiw3P9ROuXhyHMdxnishxmF9U+6KjRchnn72vkfh3DXZnksPmPiS/rEMC3amNuWtKEsDap5GZ8dpUs+9kfB/5/XYFvWgajXnNcaB5fRrNNY4W+vI0awb49fW5KO10/QY1/a0jmEJ3ueSMQQd8xxmnRmBtMc+oZBLybNMNSynw3mEiCVyYAaho0d8vNn0IrePuRo3F06O4zxmqr9vHEdEwufk8zHGDfM5F1HOQ+Kxiag3u1utSTgEEUds9s430gTUmrDDTGHzJiYBFN5dpYluEjQFYZREF5lYJOHVPM7bwRj5fxHppg/WONixOLOeY2MNEnAYc3h3tfAvtb31rVbUSTeb5ce5cTGDa3GI0MkZRtSsIye0atHRQB2dgvlDKQrF27fqpxzHcR47LqKcIZRElKfzOc6cIJLDdUytxrIyndAiuiEiKQ0vl4qFHk5ZkQKh1NQNpaiPFlBMs46UHkf/Y5K9eRM7EaQiOrVuZ8XsWaQjYEg17Ni612KlNjZ/6xRC/A/rb36uL61viHhA+mKNgOI0v0WAbVs25aXlRbr9p3Q6pAsox3Ecx2njkSjnQfHYIlGaFD1qRA1PqDuRJYaiMyL1qWYMhJGOQPE2EHXi1EEIptHaqWzexNTINifA+kAUqLOfTSSqmHLYQ8eqXa2bBSRHn7g5L8NCR0ekatP5NFpAYR2lCBPS8m4rXY7T/kSmDn/8uHWMXDw5jvPU8EiUMwRP53MeDY9dRPWRxElPPY9IWwxxfY/lfgcBgHRCdnCDYEFaIYAY2dxebgmnvfONVLsEYZb+ttIJVbpeTuhwih2nEw5KGRQpLq/T+ADXBGlRxeYLaR+b4wWGpvOVXmOl7bHYugty9U7423s+OY7zVHER5QzBRZTzaHjKIgqRKNSl5KJMGuuYcAShFdWhyX+qw6IIVRJJZ8cSPk2syxGdwsQeAooNCkRkGr3S1u3cKPfoerLel9JZFjVZ4d1VOh5ZAwuLCjMJkWlkzTJ14OPCtARps59cyzZE3NQIKes1DyXq85DG4jiOs2hcRDlD8Joox7ln2N461ZtwLyerJqepLdI9ljDJZZtxLC8yEQGwN0+RFapBYitzRLggtC5efEzLcKSm9RoeL0WhWvbZjQjBsoh2QeC00gUz+96ycLceN9COfHF/RUZrp6nuqtQsVz+OZdHIdghcR5SredJia1G1UfPiAspxHMdx+vFIlPOgeGqRKB390I54rfQ6VYOkbcL15LYTzSpEiawoDlL/AEe2tO25tstupfax297Rteytb3WiOfrxRF9kydofw6qdUw9FJLkbcrog9sna55Y7odr/IZGomtomy/1uXuFy1+mAjuM4jxWPRDlDKEWiPnPXg3Gc5wTqS+JLkc3tj0kUrdIyloHD3vqWjBuhcrE9meizi93mTZQL+ShyNn3Z3vmGjKSZRFeaNnDtVBJHOysiZHuO/RBp3O12mzFQ7dPe+YZI0wx4JKeTcdHYJ6l8p63xbt5EGeMfa7w5QQjxRI8dfDqWiyY9cG99S+L+aXcdIh3TBAia1V0Z1q8qA1IgrbosXoZ/L4L7jmTl7NVd1DmO4zhPFU/nc5xbBAX6e+tbrXS60drpJOVOGSu07Labx1PdEKzEm9Q8XU+UojxWGpwhqMZHE3GHVMO0/cYyXaQdnRKRqUA4vOqILE7X422Ml0LadwifvfONrLW7xeZNbDsSKlv1uL/SOh7h3VU7tc9IAdSOdWm5vobCPWhThhpx05fyV5NO2Jc+OC9IK339djltAxbtLJ44qsfLOo7jOM5TwkWU49wBrTvyLABICIR3V62+PUy1AQMJrb5I1Ob2ckpbO/hwnHpFbW4vJ7E3XgotIcXCB+YUSDtME/1SRKkRUrov0VCr8w70etRAcc0Vm23wMV69fNUSBBBfVhQO1NQ4MbU1Vfx6va4atzxtp74I+NgAywLdMurgnlwupBzHcZynhosox7kDhkQj9s43hrnWidjRpx4QzUqT/CYCtXr5qpUqpwUFpx/qyXUSHHoc6v8UnbIiP8Y+YJzJ1KK0n0pEcnQMYoQd+g4+HLeE0sn76yQC+qipa1q9fGWuS18T/HpO+SuJK+v1lnX6UHSNFURvLnoIIw1tqMHmHC6kHMdxnKeEiyjHuQPMGplGDLCJQZpozppSNkNEJwmahtHZcSctD+NJaXkKNpAwx2GNa2cl2Z1noeMAN8LO2JrlrAbEm9vLnTqd12+Xk1ACJ++vW+cI56FTr9aQiyzhdVp46oiONpco1Q5huaEihLdhRZRK47eWhUhmoYTxWcfj4MNxMthgow0XU47jOM5TwN35nAfFU3PnA6Zhwc5KSoXjHk+6DmkQlYYSDPpFyeHV9G+RcmPdBu14V2zIq4Vh8xhc/Xr3h48Xj+EmpkgP955iUaUjTyLd9DfrcfTR4kgS9/uqBcYdVrRoyGshAGfFipzVNv2F22Gv8JX+/Zt3PxzHcWbF3fmcIXifKMe5R9A3qdVfiZvU3sRUh1RydeswpwECjw9jeLO7NenvpPot9Ykz2IubUSKj/ssUWhbcrFePqXkezYshNlDrxellHEXRDLUc51qfHKVoi36uVGNlRYPw+CwRHR1F0uSOUS0wnshFp8DJ++vBvbccx3Ec5yHhIspxbpmDD8cpmsGCKaXIUTodUtY6k3QSGbqHk/V4bhkLCKDx0XWrUS9jRR/0NjBB31vf6tYtIXXxJqZjsLc+EWwn7+0UQU2rufDh1H0v7q+0UglLIqfkFsf1P1hGm0yI2KJHp8FZqYH4uy/qo+3C9RhRn2S9rlZY6XQ8vDZ33N7sbqXrtwTq7OL+Sm+kaYg7o+M4juM8NFxEOc4dgDvvq5evkhBIE1Lqe7R3vmELlpvYEl3pdcZym9uTVKlaIYVxtCJlGSCQkmU7rQPRoIMPRk2VTF382D7djHpYJhkqcifSPg7jpSB761PxYgkVtt+G0NFGCFa9FKIqQ5rjagGBdDyO0PA6tPjhZVhsYLmcQLHqr3Lb0I9BoFmRLoy1OgXv8Eri/kp2mx6FchzHcR47LqIc5w7R7nXjpZD+1sID0RrZWWkbOmSiNquXr1IkoBRVsIB9eXh31Y0iaRr7c/16du5LAoF6XrVET9M/SqRJJ6R9xeuScFSPdUSkGmufeGB79SF9jIY2yeX1srjh2ii9bv4bggXiq6/OSBs46DFYr7Uey0W6BtNcJxBkEE7a5e8+RBX3vOIfN71wHMdxanER5Th3ANKhMHlMaWJkxz06O25N1BER0WLCijBtbi9Pm+2KpGa+s4CGuwzMJtI60Qi4ST1MYzq8SpPmFGnj5sFsMNFEKyDIRmunk9c0qXop/fEmJoGpmxOLSHreEhEMIi04Bxg723BDuOgUvCEmCLnt99W7DbHBz6XuWQ54lqjMvf7k/fViDR+ouTRvA2OFMOR+XbfN67fLKWW11QxapCWuXVg5juM4JVxEOc4dwBN1/ZiIdCy6+c786uWrJCZEbNe+jrV4xlI825NpZyU1qU1CCctrUwlex+GkQTD3fULT3pw9uCb1xWoiVFg/O+1dvPjYW4+ja5FydBoZN42C2exAp931TaRzdU0AqYQ1FuMcRdRip9SryRqTNpLIRXwW2aC3AwlufUz5fXGrYyD08eNUWZHpdYcfjqY5juM4DnAR5Th3ABzkRKZRqPFSSE5yIu3J/fjoOt0JF5mm6lm9kESkrmltEwni2qeWxTo1qBWRtksfCype985KskfXPZ2y4zTS8FIkq3keE1ikMkJM6Qmv7LQNDCyBYfVZ4uVYnPHjiMpY4syK7sT9FXn9djkZXQBOjeNUQryu1HSXl+P6qD6Xvdw6OFKXez2WW6hoMISUiJj1XrfNwYfjTo82vgY6NykomuYRKsdxHAe4iHKcOwKTYKTphXdXKcUPYiZNzhqhwOlmWEfCmAi2Uv0ytVPcsHa8FLIRHjOa1Kxz73xjWrdEpIiZEmT8fBp7w+jsuGu2kdmH1ctXadto1su1QqVaI7we+8a/WZzoaA2iP1y7g/VCNCWHw0aQwukQvZXwmlxECoYcLLZ4O/p/ZshkviSg+DmkPi4UJaR4/XfdM4oju1U017OOULmYchzHeb54s13nQfFUm+3WgIjH6uUrGa2dtgQCJu+YpG9uL6flOo1sa5vt7kwbyaLmiSNT4dN0gt6qr2rEC0fJUM/EjYOz4yAjDd2cd3N72UxXxHMYKybAHMnApNyakHM0iYUUL8v9ovg5bnbL9uMtgwsSlLkoHCKQXLfEY7Lqmfr26zbRDYJrqG5iSZFQke7+z9KUeAglI4tZmlxzhPg2xus4zuLwZrvOELzZruM8AmAmITKdXLJTG4wW9ta3WsIlkatbygABJTJN3RsftXsBIRWNJ4nsIpgiZYdXU0FjpPy1aIwj2GwAKYalCWwSEbwtmUZOhrgR8vJsg87CEM8hcvhmdyuldeWEkhm5QxRjKaS6M4gD3dNKiwYrenWbkQ8WF5bJxsKga3WoUFsEbHevH+91p8yAVE1Ep/iH0wAdx3Gcp4GLKMe5I4ZYaWOCl0sXgnDp2H3r37nJoHockRdEgiCaLFGDCe94KbQiMhcvPiYxloRWZvutOiwp1FAR2iY7Ny4WG5i4lpbn1+WiWCllT6cp0vHu3QfUpN1EGZ0NM1HoM65YJDzR595RC6c5Zvrc6ChUyU1wVjhdkQUVDEwGpfoZ6Jo4pPFCDGNfPB3QcRzn8eIiynHuiCE1JqU78zoNrURnMqhEDSZx46NJmhzX73DKg+499GZ3q9X8ls0xTt5fpyhTZ0LKduelx4wxI6Vwb32rJdw0iAaUjnfJHpxrk5I9tx6bVfPFaYmoC8vR7JNOXeOxW/2eOGp2W+io15AI32AaIYXrkCM2+vwtWsyxcNL1f0NT+vRYc9E1Pq/WudQ9s1xgOY7jPFxcRDnOPdCX1oNJJSZjmFjirvmsaUF75xvTKNNSmKSYqd5PcNzbW98y3QCTw9zOSuq1BDAhblmyc4TGipBlTCj4+b31rVQTlXpnSbsmCseH9w0/OtqA5S0QeSqOLRfhq4is6ZRJwKl7WiTzRBtiworOLGLSzQ6CQ0wmWsdTOSgWyUSkrPFAZC4CLXJKLQQSPal+fJ1xjaPI9PrUKZscleLldU8wPt9uue44jnP/uIhynDukduKj7/5jcta6a2644yWMid7m9mSSBtEU3tnCBVEUTKD1mNGgtGUL3YgVcx9KEabK2pPR2XGyG4fA0ZPN1t1/Fj+HV9PjBme1ptlq3F/p/CCK1pms1xp2FPYXtV+WtXfu2tAOfVZkiA0vcuvqm3hDtFv1QmzRfys0QgrXUPZaalhUGlzWHj/XLsAQ1eyIqYWgtX4dUeP/rXOrRa21HeDCynEc5+5wdz7nQfHU3fniy0k6GtLehrqPsVsfRJV55xzueFZfpiayg9diEpjc/mQSsdLjii/VemVqMtEyiWhc6DDRS/VPcxI+SRJQLAD5GLKleMe1EI+JtI8L/reYZdw5Z8JG9I6XQho/ix+2Wed6IP6tsaIaVpSjxu1OuxL2bUvDzZFnhnuHqesoXe8k4BdlSsHvJ8C2+7xtfW7Dp6ng1oYnOVGD48zRU91IuSb6p8Utr8NyfnQcx935nGHcujtfCOEPhhD+Vgjhv8o8/zUhhO8NIXxz8/PbF7Fdx3mMIAryZnerbR1eCdep9NZGobluAyafLHoQnYExhH6+QyMSsC4U43MqGxzs0APLotXTytoG/70zcbTbvImdCBomiHG/cfdTUajWb5BLK+S/9WtmcGyztsnHA2PnCbyOTFnipS9qZfW00n9br2VHvpomwMxCaqfUcbeEhHaPXHREirfD1/jq5avJtaeuTY4icdohRKn+wbJaQPE+sa29jgzqlEF+PQTTXRqROI7jPFcWlc73h0TkF/UscxJj/JnNz+9Y0HYd59ECATXEulqn9rReoyb5ECmINuGOOh4/eT914eMUs5w7WfjU1FQ1Quvk/bXZkJdfP8gOnMYNK3dEb3ibDFtIZ6NGPfVWnd8DreKHbM+qdymJHBZFJXFlXUO1oqYULbFsunWNDp7rjZwMOZY1bodqnPPSZ5OP7bDFP/6uPda5Zs+8DV3nh/e8lWbJRhVYDsdC2+eLuJhyHMdZJJ9ZxEpijOMQwlcuYl2O81TJpRCMzo5ltL8iIqcihfSsN7tbciHTZrwXb5flQj7K5otGFL27mqS7NVEi021s51TkcNpEdnR0PBFVN1EE6XdH1xPx8nY5a3Aw2l8R+TQVC3rCO14KqZnu5k2Uce1B2llJy26++CgikzqZPbEjISmd8ax2AwNZQBoikxMa2qEPqV6cjsdCykrZ4/VbaXm5dDy9rkkU8lREgkgrItmcYzNKWSd4BnF4JWPVlDfHEOfLoSDCxL/R7FqLHh4Lvwbnk8WQtVztvujXaHCuS06AjuM4znzcpbHEzw8hfEsI4c+GEH6KtUAI4WtDCKchhNPv+f47HJnj3DdNBGR0dtyZPAPcKR+tnUp4dyUn7ydpeGjEK9LcGdcTTysCgGW2p45/LIT4brvF3vlGSivU21m9fJXMHESkVXfV2ecMaPyL42JFG1L6Xg21UZDScgsQVNZ4dWRpvBSS3bxlFJGbCLP7WykyYjn6wbAjpXFSk+BBPyVqI3yZFEtOWcM1z06GizCbYIdEfQytSBW2rdPvSlh26LUisGY5K3rpOI7jLJ67ElHfJCI/Icb4M0Tkd4nIn7IWijH+3hjjRoxx48u+6I5G5jh3wBBbZtQnWcDeG5MjiBMWXeHdVV5c0KQUkz30QuK7/aO101a/IIvUQ8l4HPbn3EOqSsgcXsne+UZn/OOj62yhfrG2itZrGk1Yy1nMWw9F69B23tn9aqKJfY5seB7plUCnAJaMDlri6aFBzn06HVKk2xwYz88qIDiCA5HEbQVyaX8sbrVNvR6LroHKYbl0ahHN+1+yxsc4XFw5juMshjsRUTHGqxjj9zV/H4rIF4YQvvQutu04D4Ha5rhgvBSyEx2eSEHoXLz4mCy6RZSwsCbGzWMn769l73wj1UuJSEsw5KIe3FsqiSUj5arVR6pvgl5hea7Tk1DLBevwhbLo9TXrxLHGecPv3LGO+ytm2hhgoYTrTKdysYAy0/csM47bpKZOzWC0dtqp/QHaGW9e2BURwkkfRzxvibsSpWgVm0nA7MOyxGcjEIg2yzo9V3OJGjfHcRxnNhZmcd7URP2ZGONPNZ77sSLy3THGGEL4uSLyx2USmcpu3C3OnycPzeL8tVEXNAszWarurEh4d9VJ5UqNYMHh1cT++2X7tXiu9Ri50pnNcNV6YYWONEJYnye7c2zDshJXdtW9qXfN+PbWaWJPhE9tQcD27sn+XNu6633Xlu+lyXzf80OXa5YN767SdaXPbdovtmnHNkSK5yxn+65hR7dF2c/fOpnaKF2vtIj36hD0cdZW57odQV/qXt/49fWvt2XVx1nb1n97rZTznHCLc2cIJYvzhYioEMIfFZGvEZEvFZHvFpF/RUS+UEQkxvj1IYS3IvIbROQHReQHRGQ/xvgXS+t0EfU8eWgiKn3Yqsa2QyZrc/XP2VlJ9Uk8EeJJNuqaLOGBdWC5qcGEqjthUcVjRW8j9ZgpRKzIzSL6LDXHgHtBoVB/kAjQwtISmrMwRETJVAwihTKX9jVU5Oyt51P2dFQqCc7HQqmxdENOTNT0yJoVHeXj2ihLIGtRxVifKVo0Yb1aAPF7QqP7UFlizoWU85xwEeUM4dZF1G3gIup58uBEVGayWTPOhTQfFUnRC4YjFnDB2zvfsJvvKhG1uU3io6/prCGWWmLM2E4rKqRem9u/tC3VzFekbXLBk1BQ1WvLEHhV0bGadQ0UI3z8N7ftSCdPuKuFFF0nuD705DiJqMc0iagQUCL9EReR4Wm1OXLiSY9HpJs+mRsbnys+/7n16gbNuW1o9DbvI4LnOPfJo/r8c+4dF1HOo+GhiSgRMSey6K8EIcOTvGxUaGDEgsFk25q0sSBK1ua5tLY+cs1nrdQ8lSK3t940Dx66XSNCpI+nRqdQDRZD+ljlxpWJ7LGw64i4zOss8YmoFMhFkrJRRlo31+zkUrUelYgqpPCJdG2+dSRG92RapGDg9yFfnzraIyK9YovHy3bo1j7wcno/rXQ+6/UWLqKc58Sj+PxzHgwuopxHw0MUUUDX4QwRCxBdVVGTDPrY8GRZxLbPbpETSPp5q46qIq0PoqRXnOht6SbBjfGCNVFkWBzM/KXYbDu8uyqvQx0H0NrPRlyZ0cAMqDmDQM71CBORaS1cJjKqI3QlwVC1r0Ppu75mWFefmBbpiiT8rQWlZhEpbFbDYx6THvvQflY5wVjzulLES4/FRZTznHAR5QyhJKLuyuLccR49cMMKnyaT35Z9dw+jtdO5BJSIdA0lZDohWr18NRnT9nL6SZPanZU0zvBu0oh3b30rCTssww5taR0i3eWs34dTW/Wq9LPGynxzezk5+7HDn3XnXduCM/OK7ze7W1k3vs3tZdk730jHAY6DvJ9761vp7/FSmPy/s9I+dhnYqS+NxRgfXBRb42wcDa1Ih+UY92Z3q96R7TbcCSu3i2sh17Mph25ki+tEG3HUrq8P3ccttw2+fvk9q533tDX6LOPV69fW6zyOIcfWcRzHaeMiynFmALbGWWc7zSKK+NU62OZcT9BO3l9PBNP2NC0IDXIxsTr4cDyd5CuzBUzukLa2d76R/t9bn0zow7urSQ3OkMl2M+nf3F5u2Tdz81TAf+M53QeJqRW0zN75xqTJcdPAmHtaQYhiu0ipg9BLIrDZFxzLzZs4+R/HrkJI8f7ivFoT9JYNfSM2EP2ymsPyb5hZ9F6zFVb0LaHO1vQ1TXcL6+VI3yyTe1jFI7KX+qkZNVUl0ToreF/hPaaFiiXw8Li2UOd1YrxW3yj927p++qJ4juM4znA+c98DcJzHRuqtI+U6lbvCqsNIvWTeH0sQkTe7+dezjfnFzUcZyyTqtXc+XaaU9rR3viGjHToWmVTBzZsoq42wWBWR1d12PyNsx4qUsFGCHhNSqk7eX4sMTNMYrZ2KnMG8Av1+jif70AiqNNE8nIosGHlYKWGrl6/kRPIT31nBODZvpo+dvL+WE5lOvPW22AChr66qQ2ZZFjl7ourz6tfeZk7xxHBbglwtEX6/frssF3J7QkJfG7guSsvoNMRSo+SSCOLjgPeVtbwLKcdxnNnwSJTjKNC0Nu6vSHwprUl93F+ZpOUdXnUc8+4CLTC40SdHoTTW3Wn+n++ch0+TtD++A55LMcM60p3+wiRdT2xzgkmPjRvRsnDCD08CwycZFhkjYYT1IxVvfHSd0hQRvUHKIvZ3tHYqb3a3JL4UM8IwPrqumqRqMWmhU6/4PPNruRktfuOaXRRWiqWIzJYCWOm+1zce/g3BYJk+WMvz9fQQ4GufzyWbaNSk4ulGu1wP5eLJcRxnPlxEOc8enkDFlzJNSUKNy9G1xJcyfW4e5qwz4VQs1LdYaV+YlFv9cjRWYTz/bxW08+Tsze6WrF6+KqfTHV61BBMmhhACehKLx5Hmh3HgtfitzRPSNmqOMy2DY4XttwQyTA6a/RsfXcv46DoJk0lUsr0e3tc+kwltJpFDT6KxPItZTiHD3zw+a99nxUq97NRslTDS90qW3LNGUbRgsl7HAvg2hFRunfw+ev12ubWcJZT4f0t4s+BicC14LyjHcZzF4SLKeZa8fruchNHo7Dj9VLOz0omi9NXkbG4v27bnM4AUHyt9ixk6abp48bE1meOJu47+8I9IM7HPGU80tUXAMj3AeHN31zHB5UmxXrZV79NzbDHh5wam5vFqzln2rj8ZSrx+uyyjs+OpyFoQOYGbGzOLgr3zjXbd0pzwMZ7VdY7NI+ZFR1cwPu1sp/+2xo339KKjUnhf8Q9HCjkllz9XdF1TLmLJ+6ENWLSxCOOmEo7jOLPjIsp58GBCwxMQDR6HMEo/+xOxg9+INs3bBNdK5RsvheJk1SzoRzoZGRmUyE06Mbma504zCxg9ucxZILOQebO7JeHdVcu5MDkBnm+YKWc8aeQJn574cbSlyABjg/HR9TQt72wajbt48dF0QhytnVaJkSEGF7n0Smviy8YbfNz0stYxMp39ZuXwKhsdWr18ld8OmVDkej9ZWKYM+jk8ntIum9/W8n0GDX1prPOC88jb0WO1hFRuPLljxxEr7d7o4slxHGd+XEQ5DxIIH0SKeJI0XgpmOpk50Yf1dvN7kdGBJIpowgi3N/04xpJbz975hpy8v+69M6/30Zowzzrx0xNwPamD6LEm/lrAseueJe70JM6aILJ44ggZR1mwXlwvItLuMdQjGnA899YnqYWYYHMzXZOMmBovhWkj4gp4spxLvewTjjh2utGsFp7p+lqAkMo5/LVECzv3kXDK9X7iqGZNzQ4vi88FTsVFGqPeRq5OLbc9nWY3CznnRJHuscT/Wkjh+uSxcDov39DQ67TS/qzHHcdxnHpcRDkPjri/0uk1hAnC3vlGK6rBE/i7LAqPL6VriX0T2xMxNJIt9B/CcqOz43aEDD2GVE8gCIuSeJpnYsTpcqVlgK4lsn7r8wJhpQVhrhdULsUv1bHtr5gNkE/eX+fFUBP54+NZc/0gomOtl8UBInF99ua5iKgeS26Cj5qxnHEIv57rvVpiakZRBcFpnRvd+6skoCxBPWQMCX2T4vBKxkuhdV2lXmZNXRvEho72WCYU86T44RrmWrb0OSfTm0Na/OioO4QUYLGso3GAx2z1hvKolOM4zmyEGOfPSb8NNl6EePrZ+x6Fc+dwv5mGze3lurv7Ff1t5ulhE961zRF4QqR78WCyyMu0LKZpfVowbm4vd8wSLGvv28AqSrcczrShA0/UOGUIy2mhom2ceflcyhVHnfAcH1M2fuiLAnL/LIxRT1jTedlZmdi4N7bm+lznLN2RqlnTfNhqFozjo8UmHzfrOX2c9X5xKpl1/VXRHBOmJH5yNUmMviZKk3sWDJs3sbwPFAXLpvE2+4Pxjc4mLo38XsNx5Ot5ForXjRov0O+1XJ0X14TxZ5CVzpd7LzvOUycObIXhPG/C5+TzMUbzjqxHopyHBdJxaBLcmviwc57+qVn3jGDCyGPhWh6AQn6dXnjw4TjVC/FYEC3huqicOCnVPOXuks9y5zwnXnTthmUKoaNGfKdcR8qsCFMuKmGlI+mJaCfFrHBdsIMdTzJP3l93JqEiklLDEKnARDZFdHRUh8wm0vktYJ0nHa3T59gSGSya2IgjZ3+f/q91MzRqmrT5QYnc81pMWw50fB1y1AZCKrsPTUSq2GS4iQaPl0JK+UV0mF0qRaaprWDIe6xXQDWMl0IrEpYzm8Dz/Jg27OBUXP3edJtzx3Gc2XER5TwsFuQgtmhSLVXTPyh3R1tbjmvQhwhiiifv4d2VmeLWNzHVYq52Ule7XK5JZ65up2Sl3nf3noXYaO00pWPxWFLdkRLbxVo0Ejmb291zxJEZTLrT8pSSxv2RLLFlpZTBra9ETa0ei1jL3ZAn+1p84jXWOUd6X8fYhEUTTEKadFrLKY5t1fE//7b2hf/OXWfYDwjXdG6USC7WE85xowViymJoROrgw/Ggmzmmfb/UGb3gf0bXE7IwdBzHcYbhIsp5eORqNRbYLHRmVOQj1eU0kyy+g67BBHa0diqjtdOWaYY2BmDDDJg5JAdCagSMugqueak1JdDPsXU59qUk4Eo1ItpQgsfHVun6mOE4pLv1JGhatU8ZWs8bghwRRT1pxFiSwyKvkyIYt5lKaTkCMjpyoK3ncxG+PrMGfR44sgbhxCYh2EbfWFvrzFASTbyNloDSgohF7y0yOmsf174bJovEqsvSxwdYxxS1c4uo73Icx3EmuIhynh63FM16/XbZNIoYnR0nkwKuR8GkOImns+Y5jpg0fYpEpBMp4EkSxFKKwGAd9Hcuza6G3GtQLwFBhcnYkBoKS0hpJzbsI6JPOsrUEj1qAq1J6Ux6uZ2VNBY4tPGENKVWUvNXKzUKxwHiwhIfM3F4VX3utDDSrm2WUyI/p3uB8W82geBaG8tAhNdZK7BE7Ea9nGIJsM3WdWFxRzdYdKRtLiHSc62M1k7TZ4olnjEePGaJZP2/vsFSE+l2HMdxbFxEOQ+LRU2GdFrSnMDcojU5b/rlwB4bYPIjh1cTYXB2nATVaO104tp2viHh3ZWEd1etYnp2BwPm3XfF+Kg9US6549WA/cFvKxVvyF14CC9rotcRhywQZRI9Ss9rLJvxo7zIe7M7OVc4Z9Y+pV5HMnVNy1lH4zWLaBorUk7r03VDQ2ilwRGdKJTxOjYg4PNXc23huslFnEoRK7wPOCp5r9C1lruWZ1qn/insK85FqUYK9BlzaMMax3EcZxguopyHS67GZchr9d8zkNwBpWtBbrmjbd7EaWNWFgRNfQ3utluRAE7ZggCrHf9o7bRVRM5irEZIaVe0ISJp1jvyvUX28wjgQjpoafKLqBTEEVvXQyxZKVVJSM0ZkbKa6AKODFmUzEX02JEmClhksYjMba/vGNYaTnCbAn5NK33vvtmZRpUxRh3hm2V9phU8XT94T1voGilrLIia5gxJFiIEHcdxniluce48LCyjAGuZu5pYNcKHa23YQe/12+XeOh1+neV8x7VSi9gvbKdWFOGOdM42e1Fo++raxsd76009jHWcM9cCzlHLEMCw5da26bljFPenr4XYtWpS4OInInOdy5xLY86y3LKl53Fqwc7LYZ2mUYb0R71qxHbOfbDEkPeWSPtmx63RtCYQaVuND7nhEPe7FuY5cueEsdohcJqeHptuygzuqr7Lce4btzh3huAW586jIdsc9T5oBB3MBtA8FXd2W81xK4ABhFU7Amv05JA2RyRjfHSdiuBrJniLsDrGJLnk8oVxwHmvltHa6WSyp63EC2J6fHQ9SaHMHEdEPSxHO2vCz9dlLg2wxZxieLwUkpEIoh98/DgNzuqrZNXCaMt0LJc7Zxz14ms2FzkqUVpOH+9WiuGA90HLFGTe+rQch1fpnMxSTwQBVWu8gfThknEGHz9uxqtr5XQ0arwUetMtHcdxnDwuopwHxcGHpp/S+Uax78udcXiV6pcwAU1pdjOgnejwN36nepwF7OPo7LhVnF7LLKl52J9SFKu13iH7d3iVGt3CihvnpIWy5ObaEvRpwsRS28JbAsPax9xxnKf5qkmht1Fpwqsn5zVjstL4eH1zGyjMwaCbKodXKR2ulRpXCW6SdBof65olmRquiAyM4Ay47luGJTI9T5bwKqX2cWqvjkhCEHptlOM4znBcRDkPEkRmHgKc8jWkRqlFk0rW6keU2dZCJzRNnyJre9w01mLoxLkkMLCdk/fXg6JQicOrdGysSJCGa9dSo9vDqRBGpMe6S2+tu297XDM1dPKepRGByahEptdNrjltDraVRxQCsHBip0htJFGy7a+l1qCkdYNhwLFcvXzVck0cci74uuKIcKdmSY2xtsdSy0a/Zx+YdFNFuXDq+ji+nnFTQC/D0TPue8Y3dRzHcZw6XEQ5D5Y7y9HPTLI2b6LsrW+l3kWz1Ftsbi/L5vayhHdXHdtpq0/TPFGuEkhv65vwcfrfLMe/ZJWeIhpDRKg6N8UxKRMPcPL+ujNxxWQYxzrXc6cGFmKYuM7t1qdqA2EwoPv9aGMAbU7CjyNt6+LFxzSB1q6DEFmcOsj7Oc9E27rea5YvRqWZZhmd+lgLG3pAjOFGjiVUh6bA5erRLDrnsDI9UadnWjdltAjrMytxHMdxbFxEOQ+avfU7uDuamdSjdmd0djy4wB2/axy80Dx3UcYSWQ6vprVCMp1Y19Zn1GBNCvku+OAolDoexYk3aqRosrl3viGv3zbpf02alk6LsnoeWZSc7/TrW6JtQVEpPnclMVmKLOac2diFUPfP6qNGWNUeYzynn2+51mV+ONJrvraH8dF1Z785zdOy5q8VHrrPGdffld53HDXSwry0bS2kdKrqIuogHcdxnjsuopwHzdB0nkVy8eLjYFETPkmrD5FIN8rBE8q4v9Ltj3TbNNtBvxmreecs5CbTfBd/3lQ3bf6Q0q6IltW4AWqpDj4cT1P9pJ0OpdE1JUBbcmPZuSNRhaaycX+lKIhwvLmWiWukSrVfbGluOUkuMjo5ZF0cGdI/mzfRFFDV0ajmOoHIZtFfuiaGkusxplMz+Vzyeai5yaEjh6VaKd6Wp/I5juMMx0WU8+DpGAjcNs2d7d7oU0EMlCaIaL4bX8r99MDZWcnaHFtwPU0Ja591+uDJ++uukGJHNf2YgsUA0tta6V47K5NlGlHKE1SkS+omo1bBPb8Gj+eOE0fz3uxuyWjttH3tFM4xi7hqmvQ+63gjTZQFj3b3E8nXUUH8Wa5/84ihWcWXJVqtfbFqejrjNQwiRCSZlWD91nGxoja1Qln36RKZRrGGmjr0LcvXKddKAYhoqz+Um0s4juMMw0WU8ygInyapfTNNOhVw4eqlL2KiJsc1Y0uTv3tuIIpJHNdm5dJ79ITcMmPIwRMzNnUQka5lOf3uTFCp3iXtw9E00hfeXaUf3o/x0XWycrYibnx3Xt+ptxqUWj132O4a9Ua8f6Vrbea+RodXqQarFFnCfvM5K9XFaft0rKOGWrE9K1akqS86lowiLHOI5vzgGGLsEGR9oqK2nxqEmV4f3oO6pk3T97y1vN6WdTODx+SpfY7jOMNxEeU8GnAXNXyaiKpZBdX4qMIhbob0uttqUrtwaN+GpCtZk9Y+QcWTxNYdeT6+xrHWNUVmNHJnJdWTIcIU91fMtClMinXjZGsfuS5G90ey4GsJ7oGo0ek4TEIkznLtqggKTDGwb9b1x25+OnUzR25fZ031XMTrZlkHn0tOccR1wIKKLep1U2ighZBOlSyR3gc4f801X3Lqs4RXbWpfLirc50LpOI7j1OMiynm0nLy/Hj4ZzUU6mBktzDW11sf3zSxNQ0W69RyMjkhwalFvqhtFpdATitfLv5nx0XVW/PKkeHN7OdUVxf2VjmioNVNAJGjvfKNT/7Z3viGjs+nxSWYjlDqWpdAfTYuy+FJak389RmA12R0SfchtI8eiolFD6rByy7H4t65ZFpf4bdUz6pqzIe8brK+Tympcq1o8WUKq79zlPnss976ccYbjOI5TxkWU86iZNfrTamTJqWSVVsIdaDKECba+y9yXSnUnGPvGVstDJ7/W8c/1nuq41mm0AGru1FtpeOmxmohh42wHrDGwvXUN1pg6x1Ada5iNjJfC5PorXWuZx1PUy7B+x/Zfv11OwoDrmXITfo7Q6HUyfT21HlpkQzdA5j5ZDKJ4qJXj85lzXyz9n6O13cz7sM9Gfaj47Wy3IZfe5ziO49TjIsp5XjQT7tHaaerfJCIp4mFZCRcxTBFg5W1ZEs9cAzMrerJGgoPHMrTAXVOyNp8JSvWzRE9WBPPvAp3aqaXQmXSX0D1+Ss6EFy8+tvowbd7E6fVhCMChTaZ1LZJV62KdC4iHRToyluqUhgj026qrstL0gNW3CW0A+H9cJ3wDoebmCN9E4IhUzuSDt5lL66shZyChx/zQRLDjOM5Dx0WU87SxIk0ymcSgmDy8u0oTonRHdkg0qqnZ4Ykf1g/ifoXb3z2AieMsgidnIlA1GesTPHzeatIrEZFCryiD0dmxjM6Ok3DG+eAGwEjzm8WJUD8HMYSUv9Ha6cS5bylMo2NGtOrgw/F0X/S124yTBbrVMJipmXDraNosy+jjxpGrIQJ1UfRtj4+LjkTq+iFdi8TRPpH6iHi69ujGgLY0rx3zrPA27j0y7jiO84j5zH0PwHFujcKEerwURPZXJLzLT7Q2t5fThFevd/MmTiY053iw7RqHnjMgvLuaWJrfB4XjoGskRmunMtLjzNboTPZ51DSAbQnJy+5d/9Xd6WtaTXEL48tx8OG4O06sdwCT88IpgpPJ7WjtVA5ouZwI0M1Z2T5dp7qNXk6uqdXLV3Kx/bF7be2syMXN5Hxsiog019jF9kcZq32bbGNYKp0+HzVpaXq/Z01leyiU7Mt1vyb8Xt2dPqajQquXr+REhh2DzZso46Uw+b2zIuPmMUQs94zX6HPn9UuO4zj3j0einOeDqp9BpMDqEQSzAPQg2txeTj+IXHHqEuqAXr9d7vRhuk3b5156aobY6ni0dmovy82ArcbAzf+5XksijYjoc0TMjbkRW7j7bzKgli2+bJocW9GwZrvaDVA3JOWxjNZOW/9rS3iRZnsNyWXy3ZVpMgFb9vHRtYzOVN+iZqzWsSw5JGr3viHpdkOuXUtwzeqsl2PW91JpPNbx4fo7/J2LBPX2qCLQK42jUeOlkER1bVTKcRzHuV9cRDlPl56oxGjtVOLL7gRZW1tDNOWKryGgxkfXnTojrBcpVw+RixcfJ+Obs3fVaO3UnAD29sYyBBOifTnmTkM6vJLNm9gSN3DuE7GFr45UpHqiw6t0XYyXQhJUSPd6/XY51cCsXr7quOZtbi+nlNDxUkjHAP2l+NpJx+TwavJ8I/BF2iKBJ/1c65MzArHS8PQ+56gRNbWOh6XnFnUzQq8D5xFuixqcM6TdcVRIR3JL29HwueQbB9pMBduqceUbghtJOI7jzIeLKOf5gfQxmrSI1NU15CaD2rYbvahGa6f3I6Awua6IzixkMkVF8hYsVhI9UbJ0p16lsZnudwP7enGqJiaziPrkIhYQSMyb3S3ZW9+S0dppK8IAwd0S34dXrd5OqLtBVEok02SY9pMbFfNk3nLOw75oAwx2nWMnRX0zAevQ+2sJmtzfs7DIqG1JfLEg0X2i9HJWqh/+tgwpOEJtsXr5yk4VFuk8NvT9WbP8ogWZ4zjOc8RFlPOsCJ/I/WyIcUGBgw/Hdu+fGRr2zg0ZEGDiXlx2UduU6XE1e9wMOQ5GjRTXGmG91S6KvJ/N30n07qy0/j74cJx6R2G72DZv7+DDsdm8FkJKZBKZS5FISr8bnR1PDSYasBxSSOHg14pSqEa9mITryKmu02JYMGkbdGvyrcWA7rm0SMOIIXVdNeRS7PQ69D6YUVQ1hhor9BLZfcX1mTGe6Oshpcefo+RS6DiO49ThIsp59AxtuHvw4Vj21rdaVtJDJoL3Vt/UhxIzfZOpvfONhe3L5k3spJGJDJxgFlL4MKksWWj3rbsjzgyRqyNNXJuEuhU06U39nqRtS54imo3AEck0WW0iU6/fLrcEF2qmcCxa1/dh4yTZvF5f+321OTqdUKOjMyVBxo9rIdfHXUWrdAoefh98OG4JEnbl4/9zkTkramctXzoWszT8xr64+HEcx7l/XEQ5j54hDXfhkNea3FRGZJB+xRNekcnE6SHZl4/OJiLRnGgZTVrnAf21+BxgoofHhqYztmpFiNzEtRfLDCO3nChTCY4AcQ8xWldO1KGmSURMJz79HPbv9dvlliW+TmtMQm9npXPtw65e12Tx8yJimihAWIjMJnJy9uZDKV2TJfHQt019U8EywSj1zmo59jXpcDhnLM5y46rijiPXj81d0XEc5yHhIsp5GgxITWMXNYgAkemd95IL3MWLj5MIQiOkIKoWlho3A5vbyymytnkTZXN7eWoWkWNnpTuBGroPjVFCic4EsmcbyaUsA4uCIeK5Fm6KizoujjKNj64n10ATNSs13OXnOg10dUSsWffo7HgintAPKuPeVzqOmORDEPA5woT/za4tsrlnmK4FWiSzuAPqaFKpDstal9XUVjfT7RMVPIacVXzuNdZ4bvtzwyNWjuM4t4eLKOdJoC2pS4yPrlsTca5vwSTWiiytXr6aPt6kYrXqVu4JTL5ZNGUjY01kpdWsde20JSZr2NxeTr1tNDxZ7Vhx6yayoOd/HtvME8OaCevhlcT9lZbdO45rigwdXafoW22UodreXcGCKtGzH5bFOm4O6OVy5NL6mJJb3l1FOHTKIeqbctFBpEry6/r2DUI0108q5+rXRxpfhSDGdnWfqFqRa71nXGA5juPMh4so5+kw4K7u+Oi65ZAmIsUIiEhmwnKP4skiJwDB5vZyGnPJwrvE3vpWq78UT9ghRlMtVKnvVO3jipyLWi+15yozDnY7RG8ojozxpL0TyRwohLJQXVef6LXMEnTama6RykVgtSCpPfZDIk6lqB6TM1MoRZ/0a3j/dWTLSs/jVEe9XSsy1jfeGiyr86Hr1YKPUxI9lc9xHGc+XEQ5T4bw7qp+croziTa0JhOHVxI+2SlUufSnO8VqDlvxGt4fXWeTBGSP+AJ7622LbC1oWlGo2loow41P/281O62K7vRFvAbQigo1NvawMBdp27jryET4pFY2j/i2jpcBu87pCTTQAhjo5rMWOuLV1yC3FLmq6QHV9/6zok86KpUTWpzmCKz+cXzzAK+tGZeFub/8Hs+c43k+h4aYfziO4zhlXEQ5T4rwLi+ENLl0NDRA1ZOce2+YSxN4kbZxgba/7rxGwemP1VbhUrZ/xl15pEfOBCaPPJlcZN3I4QChXYLG9WZ3a2JYcnjVcXdjOkJqTiBmLQGi3eZKk+acqyI/b627liGOdbXLsOueZVleGqO+AWAJ9BpxhHHManV+8eJj26xE09Qc6v3T7nylcXL6X6kx8EPCupYfrCOq4zjPms/c9wAc5zY4eX8t8rK8DCYYJzK5wyz7KyKfpuJidHYso5fSTOzvSUBpW2yiJeoau2srJbETYdqZ7OfFi48yXgqyeVM/HNST5FKYEL2odivM3HHfvIkyVo9x1DBFfbjXVylCo3uCzdsjjJzyRkfH02bD5xuyuivpOR3N2dye9JwaLMi5QTRdE1wHlIuy8LIik+u9xOrlK1ndnU7WV3elE3HKCaM+S3Qwi7AqjVdE0nEviRnrOR1twnmz1vH67bJcSDtFru94VsHXLrlBSqbJL1NK+XtMDXUh8C5k6nhoNXv2KJrjOA8Fj0Q5z4699a1kKS0ynURx36TW5Pcu6p5ykRcVfSpFUUxXN2t5uME11tpD7Nm5QStPaJDq1NmfoTQiwRKDM02erMiTtjyfN8WP4EmrlQ538n7i7qcjhr2RU6OmCkJSR42sCKFIfwRJj1f3RLJ6KPUZNFgMMakYkuJXGxXSgtA6ZjnnP+14qOu4Zmm8KzKNBiMyVYoOa3OJvuW0ELkNV8t5KEWarNo0/VrHcZz7wkWU82QJnxrBRKluqOlhe258MfOk5M7TXjiS0lMflEULsEzz2r31ZkJcsd5kptD86MiGdn9biNmDPgb0d5pwsRDSQhPw8Sjt6wJEMia+3GMoF8mwbNz7TE1y5ISNSLsxK0/wS+eo1DTXSi0DuejOPKl/iEbkXPH4MS3iS+mN2khDHxOr9xb/zfV/OopVitLOgjbGsFIY9bXDy856Xd0l2JehtV6W0HVR5TjOXeLpfM6T5uDDsRxIt8nupCaofRd5tHQqsnYqF2+X7RQ4QJNuRBA6zVRnoeb1BZc31DkhHSlNn1JK4uT5gw/HLROEGiDGxmunIhJkT6YTlpSatrYisnY6SYFccPSOU+NGa6ciZ/Xj1s1qa40ZsuvcNq4PmUy+Mc7R2mnedj8XHWNKY6T9GB9dyx5N3HO1MtoMpDYtSttqQ0jhXNTUHs0CixFQmmTz9YHXIiWPheHrt8ut/bbWmUslA7njxql+Ou3P3EbzfF9ftJJ4rWHoaxeZalni9dtJaqtcTtMoQU5YtW4QyPQ6ZAGrr+3aFFPHcZyheCTKefKYKXoKfMFu3sTUBHNzezn97J1vyN75hoR3V7K3vpWiWljn3vlGlZnFvHTSwJoIyN75htmEdpYUqUQzSUfKH4QDG3J0et0sOvWRGtGKGBNCFXnTr72NO/GWgBovBXmzu9XbO+rk/XVd7VYJjrBlltfREy0eRMrXgTZbsBrd6kgRqJm0l5bR48qJGT02K5pkuUda0Tid0of6uz7HQR3JylmqazBmK4pUE5HB61JKLq2Hjy1ufqT6T/UZiMbi/KPP6W1E5SGgSlE7nU5ae11YroqO4zi3gYso50lhpXUgUmI9x49BQB18OE7NVHNWz5gApLupcrvNK1k8cYqdNenSNs08ad/c7k6mhzJeCpMGv2unk4jWnJGd2pqkdKyHbCuXLjhguyXCJzH3n6NQevJXbAydS03MYPWK0nU5b3a3sjbeNYLaSuvro9bsILdcKcVLp7SNl0I26sZwhAL1U6WmvLrmi9djCQt8TgxOT6voj4Z1IRW0k6Zr3DCY9/PIEsiLANcj34hB5FB/nuXq+6znSszcW85xHKeAiyjnyRD3V9KXJZqhvn67nCJHInbxtxYderKp6xy0JTRPyG47GsUTpfDuqnP33Lpbu3kTOzVNfY1aq2gmf2lCd8sGHGZaU6Z2KrvMgkFaJMSpFfHR/891Z18JP90Hiq9bPQnOpahZRhEcaWJQ85WLPll24VZNk37tPJN13aoAx5ePM96fufe9Vdukx1/6n9PILNOJLHxtNuc2t35+72fF1AD4BlDNsosA15Q+NjlTE6u+j49PTujqbfK29TXuOI4zKy6inCcBIkn4steTC13wzz1TeBJXU39gFaJzymBHSGnnvRl6H42XgmxuL6coBvaP8/11U1FOMUI6Iuid4OWiS8Zd8yHufiY1Iqc5Xgt1FluEuDq8kr3zDVm9fCVxf6VqUpomw/M4GMr0GuDzrqMhAJN769rmGweavlQ6/T+/pyxq32c5BzpLCPL/tTVaeh3aJIUf55sT/J7CbxaweE0fi4hat+r9mmspl9aXE9BDxOsihJRV56bX21cLh4gVX7P6M9wSzHpZFr+clunCynGcWlxEOY8SdtnCb0zmuTYIltJYHl+cbFOMSRCW5ZQS6866SPuLXn/pnry/njb8ZQHVTLiHiAYRSTVZerwYh64ZsBqlauvnN7tb7Wa9iuId7kU2v60E40npg7UscKxmlJHP003Mpg3x/+HdlS1SK8eK68FykdOTfEZPpHOCitfHfZNyaa28rF5XyVnPojYN0EILSUy0cw2HS6li+J8jITrSZE3gc+vOos65tY/JzdFypCT6rNEts4UhWIJnCEjjw02nGlGnxZH1uPUa1HbVGqhAeJVqtBzHcTQuopxHCU/o8IWKZrMQGToaUxI+JcctfLlay+BxXWuCbe6dbyTjh83t5TROkanIMsUMHNx2utENTk3CvvJjNfuWXAo/GTvdN5m/i75ZiqJBxB2JOjPiRv3G+JocrZ3Km90ts5dTQo1bT4Bboq25FiCmc9dr7lrl1C2eLOaECb9em2Xo2iLGqg/U4j+XvpeLKuSW09vITXy1ax/2LxdRLokrnc7LY9ERsT7jjlaqrUjrfQXh1BJPjNFLLVcTNW8Eil8zj5BigcLXaO6zOieosP2cE6V+DQQV0MeJx8LpqjO1bHAc51nhIsp5tPAX33gpTFLpmvqI0dlxMpRgZyqOOOk7j7nJgY546Tv6nMKkayk4AsTjwGQ4vLvKTmj4zrJ1h1Tf/ed6HKsGJJeylHppzZBmmJhXyFRs++DD8XABdweCb3x03amhk8OryfV3eCVxf6XjgFZjJlBqOMzXas5EQk8yLXHFwgbvD50SqoWFlf6na6h0RCs3Ma41qegTXbwtJndjAc9Z0RluKD0kzVdHgPuWL0adRPLXiH6foA+eEuG56J91LIamF84jpPjzU19X/NsaG44NrlNej2Wyo+E6Mn5/6WuE3xd33jPQcZxHg4so59HzZncr1fusXr6afDk2FuU6nQ3L6zvXubQ9K/2Jv8A5zUl/6fJklu+ysthJX9DKtlqnjmnLZuwHHnuzuyXjpSBxfyVFQd7sbk16KhEXLz7KaO00O/HsLVTPCZ1F9MjKrAPpa+lYzbqtW4xYjY+uZXQ2SX1LfbMowgCLeLaK76xDiyZtmnF41Uop05M7HSU5+HCc7qzjbywnIh2RgNdb7wtNXyqgHpdIvp6NJ7/6b15GP6b/57Hnxtc3ydaiqbR86bmaCAaOh+W016Lnus29Z3OpljXnjm/48P+83CziQteP5WrxSmPDY/pzNrcsk1pYiLTElBbq+j3jQspxHAsXUc6jR9ehIH2O05D4Trl2tOMvTy44ZrMGPVnT2+U7+PpLXefv8+QGd/+T8cPOSqe3i8j0S1zXPvH/mzdRwruraTRu7VTk8Goa/RBp9X1isYVJOu7UmhNEGtudsbOSmtfqxxO3EW0aWnfVpGVCwCP1rno9lTbxOA5W3RunIOloku4DhNflUr10ChSvyyI3eS2l7+F1ufqW3N992+X3I0/SWVBaHHw4nojcZlKdQx8DXl4/VzP5Xr181YnE8rXD7poMPufSMpXj1cLIAp9TfeJkiLjgtGOMa2hkkveTP7utqFtuXfoGGK/TujHBRhaO4ziMiyjnScBfztaXp5VeY4ke/G8V7Yv0p9XpyBXuvFpjsu74c0SNBZdV+IxJyOhs8vj46Fpev11u11KIpIkh6nMSh1cyWjtNkRO4/5VSl7K1SRVioc+YofP4zoqEd5N0uNQHZ55o0rz9pSyaMabeT9TnaXR23Gslj2bOvL5arOsWE3oIpty1qSObvJxOc+Jrv9YwwYoo1U64+brX9U994iZXE1Yjivj9YYkp/R6+ePFx2uz26Dq9H1mA9okCPM+9wxBBh3hC7RTfZOGedtY2+oQExl+idh+GiAu+oVNTl1Uj9Hi5mv3GazGW3Gcan89c3avjOM8bF1HOk4LvbHN6E6cUWTVOTG6iyKl7pTSn0uSDI1a8PZ6sliZH/JrR2mknNQyRpo4I0I8Zxewi04lDzkRhnl5MWpgiTY/HtLk96eu1d77RElCzbO9WMcTOxYuPbTdG/ZjxOkzWk5FIBtStWREHHY3Uz4lMozDWDYK+deB5iDa8D7Qo48dyE2T9Os3Q2hx+TalGC49ZpM8HnIPm9975RrohgRpL3HBIk2+6Di3B1VdTwzdGEI3mNGC+qSLSPTec0qZv4PBnkVXzU0vfZ1GNuNCRTUuQ8u/cGLVI0mmKOuppiSquF4SAYiMPFnp4TtcYOo7jiLiIcp4YOnLDWAKo5m7oEDCZtNKGLLFmFe6LiPkYHNYwaUkCxHDq6iO8u2o1IcYdb6Q03QbxJf1D20M0BimYrWNn1AXdh8V6B4o4YdKFiAGTjmWtaUdBHOZszXkCys9zShsvryfU/HrdgLVk2mDdLOAUVT0xzkWXSnVOvC0rusXvaR2ZK9Vo4Zxh+VTH1hz/vfON6evJKRPrTTcrQHM956LOfeiedbmfXB+oEpZA0SnNpddaqZ143dD97RPQlhjU48Fvvp5ydVN9aaJ4v/L7FscYyyE9upQK6jjO88RFlPPk0DUK2r1MJB9J0ncsF4H+AsfkTTus6e3xWK27q6O10yQ+ZqlVSjbL28upx9Gb3a27ESls59yYLYzWTpOTnYh00w8XjRY2M+53Gv9Zc8deR+xIcOVE4N76ln0OmzFyRBXXDq4luE2KdCNPInY0hK9/HaWyxLv+P+f6qNdvufqJ1EdCcpP0XA2SJQ54sq1rpESm4p5vKPAEGpHRvfONSd3b0bVZn8Q1lGxKIFJOZeQGybkICW/Hsui2hIRVx2lFo2a9kcQCpSQuLGHLUXe+7qxjx3Atk3Xd8Xa06M6JdrzvOCqujzvvi6f0OY4DQox3XCheycaLEE8/e9+jcO4as29RJXF/pVUrINJ1sMt92WNypXvFlF4zBJ1axDVPels84cLzHIU6ed/UPh1dy9769DXVESSYHhC4y43HYUpxa1Da1ODtZFIRe7eVWw+4oxRBTNYxGd873yhOCK0oJa4d/i1ipzlx8+na61lfg7xOfi432cU4NSwU+DFOs+2rxbHEgnbm08ckFzXj9w3XprVsxkWmzbLXtya1buu2qxzeQ9b5KR0rPkf8P8ZhRUqG3DhhwaTFXakGspaafeOx1H6m8ucmfxbmrhctkPvWZ/3dOvfKPn7I2J2HSysrwnF6CJ+Tz8cYzQLnhUSiQgh/MITwt0II/1Xm+RBC+J0hhG8PIfyVEMLPXsR2HUfDdyhLd6kZHamy7tr2UVqWLc15Eoe/ObKA3Hv88GN4zZvdrTTxg632oBS8xvQg/cD5rpkwXrz4mJoD3zo54ZJrQty8ps+wIbsNHX1alHAaaAhx8v46mVLwddlxITTAnfpcDY6OPGlrc5FuNInR9R88PjxXmqTq13GEAehJu46QDBFQHOGCSNDpXgxH9fh9Mz6iui5cY0qw69RJ9KgbL4WU4melnPXBnwUi3doxKzJifZbkQLRo9fJVRyDXCqiatEvsA//wZ5cV6WSsKKcVeYIYyp1nrMf6DuDPVsBiKvXn0/WLymjEI1KO4ywqne8PicgvKjz/i0XkJzU/Xysiv2dB23WcBByu9N32PvFUuvM9pO7A+lLlgvxSUTQ/npsct/aHvuDnrmGC853apojcXmpfQTxZ4kKzkLvBnGZnjKEXXq65a10jPEdnxylVEQI67q+k5rxa4OZSwbSQYfHNk3JceyxkWFjp9VupYVwbw2mEeD0bOVhCyoIn9vifX5OrddHr4N+WfTcfD4zvze7WtA4K7Kx0IsZI4ROZRMnxXsNvq3GylW4nUp508z7zsbRqdvC/JSBKYsraPjsy1tRV5sQ1o9MLIYT6Uv5qXPusdM2cWNXiH791erTeLwAxpaOAGKdHpBzHWYiIijGOReTvFhbZFZGDOOEviciXhBC+fBHbdhyNZdss0s1n1ylAHIHiiWWfNbNVc8XbqBFxlljStQaYmLQc62on/CVgm7w9nSSPzo67xfO3xN76loRPk0kq+lxZk3vm9dvlfKRKOeS1yDkMWjVMqgGyuQ36e/MmThuobi+Xz0szjt7j3Nhnc60Yw5NTvtZy11wuAsWTTF0/wsvribaeIJcmy9b4rRqdWe7w6zSr3EQZy5kRv+YcoE4QjNZOzXP5ZnfLFh50U2JImpz+DEA0KiekeNlSfZM2atDRKKy7r2mv/l9fKwCRo9y1kIsQYX91XapeVt+EKkXT9PZ1urReL6+HHfv4PONvfs84jvM8uStjia8QkUv6/280j7UIIXxtCOE0hHD6Pd9/RyNzniw1X3Kc3oG7v/puZynfn5fj7fKXv95+J6pkrEtPdlLBuZpwQ3TM2z+J139b7nwmjWmC5uJFxma9AUYU1vpEZGoGsG4YZdS65LHgyogcNDgOnySdr731ranBxKJQ0UKNdQy5T5ROJ+Vrkq9vXP8cRdBuZn1mDznYQMEit008lxNFvL/83tMpcdi3FD3KjIFrFQ8+HGeFd18kYrwUOlGwEjoql/vcKompHFb9XB860pMzsNDpozmsRtAWHLmz0lNxfehMAoZrpqz90tcO71erz57+HKB9wbg8IuU4z5eFGUuEEL5SRP5MjPGnGs/9GRH5N2OM39j8//8TkX8pxpgtAHBjiefJPMYSJfDlrVP9FmEcYdlC99V08KRGP4cJgC64P/hw3LEJD++uJo8NNUkwzBk2twfWVs0LmUtgci4yPQ7zjAWGG520rZKRRaXJBa5RNjIBMB3A3wujOddD0AJcG5TU1NH0pYvp67nvhgOPia93fg/pCLGmys6/MYHgdXWuB+N8s2EEhBTec+FT16Y/vf8sMgYufccoZ0IzKzkDBW1iUXo9xq7XqX/nzEv0tSiSF/6lcVmmGIDHp4+xNpTg1/Ax6RiKWBjOjNY2nYeLG0s4Q7h1Y4kKvlNEXtD/P755zHFulVIBvUh9XnttygbfTWb4Tmfuix93R1+/XU5pXnHfiNQ0aWaYoG1uL0+iIe+ukhVzH2hmy+lqdyqgRFpRHkSWRmundfUZPdGk0dlk8tsRMj19mMyoFT2GNK83u1sd4Tc6m/S8wn4sEhZQOsqZSye1IjUi02uU63DwuE4H5LolFjk6IjEkulEScbn1pEgpT3JLPzI591qQtM6LcS3oyTSO2d761lyW+3y8+j5Lcp8hoNasgrddwpr8c7RGn2srqmVdC3xtajMHHWlD364+YacjqFaUNUcuKqhr4FJkP/cZo641fF7F/RUz/dBxnKfLXYmobxCRN41L388Tke+NMX7XHW3bcea6kytSNqfQqXy6jsnKy7fG1onA0J1yTmmBANImAViu1uGNJyqz9JlaOIX0mYSyHF4k6Rox3PvQEBjnerR22ppgrl6+mgrR0viHsjM1oACWaYpOlcJzuXS+GtMOy9XPqhkBNZN7jEW/ZyxY0IzWTqfviwHHFr27Dj4ct2sJpW1pDlOQ1ctXrZTZ1o0Ftd3ea/DwSkZrpx0RWkrVA1wjVFP3VEILYGDVGllpbnqZ0va1e57+W68T4klkGoEvRcZyx46vK6Rm67RqLMM3DXKkc5u7qcI/ItMax7XTub9rHMd5PCwknS+E8EdF5GtE5EtF5LtF5F8RkS8UEYkxfn0IIYjIe5k4+P19EfnfllL5RDyd77my6HS+XBrfItYn0u1xA0opSZjU6RQTLaI2t5dT3xlEVDa3l3vTRnpTFZr0udQ0dNZ+TffBbY6Tj0sD93QKn6YpfEyrvxanioksdKx87q10T50qpq993YtIr8fCut6xDqufWR/6fagn0DrikfqVzXneW6mqzbrCp8l4Rmun6fzpFMbxUuhcE0wnxU/TXFP6vGGfa1hkep9+LUd+custRc75MRwrrHdID6ra1MLc2Eo3ufic6s9dva6+9NGccE41VCIzpd46d4un8zlDuPV0vhjjr44xfnmM8QtjjD8+xvgHYoxfH2P8+ub5GGP8TTHGtRjjT+sTUI6zKPrcymZZn06Z4uJiLpq2irBFpndTs4XyzQSce0HxMmDWtBFMCje3l6f9oNQE9bZq0+Zmka6ExrrTxLZZP8wBeBk23zh5f52aq+rUwUVMpFoNYI+u05c/p3uK2Clg2jZbGy3w6ywTFCv6xRN/PbnuS53l9fA6chGsRTZ8tqK7HNnVZhaYeOdEdS26Zg7wMe8DUSke26zkXqv7jmGMLJRyNZyABQYi9DWGF5aAqk1ZZOOJXITKumkgIq33trX/vF+bN7GTJs1j1OY+Q8Wg4ziPk7tK53OcR0dukmPZlnOzXIYnIvo3LyMynRDAblxE2qJB6pywwicpCgwIKEwcrLvsjyKvf8ERqc3tZiKmoh4QR6kmpjm2OmKhef12uVrs5ezarfW27qI2KUS4/nKUUphy6YGcisoii132+JrG9aTTqHJowwesJ02sLdv5eeF+TkfXrf3DfvHx0O8NRG97LexFep/XN2T6sCzAh9ZHaSyLeUs84XGc81xqYelx/VnIDXStXmXWekvgs9ESVDqVT2+ndB5q7erndkl1HOfR4SLKeTIsuqjX+oLN1aZggqAf64PraviO6cn7a7M2B1GQUnqirv2wwDrMNKWM7fiD4hZS+lB7IyL9tujq/07UqSk45/47qKuyyDr51ewnomNLoXP99/VmAkj367txoK9v3SfKSuvLmWBwFEGv/7ZFPM4F3kcQf6uXryTuT2rbspNm2M0fXvWOk4UCC0UwNKpkCQENr59t1i0Rlqt5sqLo2pCEo0h6fdo8RK8zVy+V+8wccpwg5i1Bhf5ViDLWrF+n8Fk3xqxlPRrlOE8fF1HOoyO+7E6yXr9dXnhRr3VnOhdtwnK5InysC5MQy52MbYDf7G7ZbnHG8kyvgKKC6JwBRY2735NEH7fDq+mkKBMVwfnWUSqR6XHEnexOauCioaiUNWFndz49fixbcxNAX/99phfaBbAkPO4qAoqbB5hstyIoynzCFL58PZRc3GRaB6ZFKERbbeQOWGmZGkz0N29ix3WRTSu0oKo1jehDu/dZ+2BFTy1BNe97xvrMnucmUc13zK2+zx3HeTC4iHIeFZwCBF6/nRSNh3dXnTuji9omfniiaU0mLeFk1UuVnLZ40pOrq4EAYiH1Znerrr9J4ySVE0vJyey5gTQ+lfKVniNQByXSTJi4Ke/OiuytbyUHP6Rnbt7E/pQg5RjXO14DRNRqGoHyBFNfn1a6mY6A1hq2aKFVEmIisnCLeIvxUVuMtBwAm+dTOmXmWB98OLbNBow0TkRGkCbJ4pIFZm1tWc7Mg6M9uoZSn4fcZxmn31npe7no0ZAom+UGmNuPIVj7YqVB842t0hit38A6/hCuGMujSI12HGcmXEQ5j4qDD8etiWZ8Oa1TWDTsSKYnPhiL/qLv+5K1XoPX5V6brZfhSR6vr5nA4Tjh9Zs3cep0JvmJ6uu3XaOJZwOOm2FnnURnk+6ISWznOB5epfQ83PXHj2lSQL260jUwqxsdiUA2nsB6reilviHBtVBW1AoTQ2tyawkyka6tNY8Jz/fVdd0GELoi0j3ezXlpmY2o59LzyvZ68ya2boBYx13vr973GiHFN2QYXQPHRjc8see/tXmFlX7Hf+dMc/p6vCH6NiT1uXRzLCfirM9US0jlPrtFbEFqmfvwY1qcPfjUaMdxZsZFlPPoaH2hKivpmru4s2B9wVpRMfyf++LMOVBdvJj0d7ImC2a9DEU+4v7KtFElHQ+IS4ylM7mxJun30XT3HtncXp6KVE7fU6AZMMQNojzxpWTFzuZNbE1S07mH+2JzPlCQ3tp2ZS1UDeOl0JoEWtcg9+sRsSMifCOBJ5e5Yn6RrquflcbKY0EN0Z0V6Vt9o0gIbd7E6U0FI6UTDVYhsiGe+noeIYWQ3+84TyJ1qY8i9gTdivCwUOAaMF5PnyArCVwWGDlHQl4ftl8yPOH1lo5DSYjyY7kbCXxtlrDSHfnY5NwvgUekHOfpsZA+UbeB94l6ngyx1sZEJNfnxfpirk0/4uWBVTCPL8++9eo78tYkI2sUwW5sJJKsY/Vmd2siujiSof8GahKOFLTnFoVq9frJ9XdSkSEIr9Lx4vODayUJWTV5x0SuxhRkJrRII3TPJ35cRKYCXabvOWAZE3D0Q0ekrB5ReB2eb9lQ37Kgt+qdWjcb+s5F0xPI6onE5grWBJ0FVMmEIJe2p8l9BvHnVO6Y8+vvwxBBfx5aYlunSs86Thi+5KzP+8apzTP084v43nFuF+8T5Qzh1vtEOc59gC9Z9HnRvXKsO8E557AcfctbqSml9Vi1BX3b4HS+lCKUuUufUssKk7+9841pWh+t5+DD8bMTUB20UGqOT4qMND+d89akAepJuRYPnOK1ub2chFbcX5lGtbDNIfVRGr184yhXiqgCHSFZvXzVadSrr2fchdcW6bx+PeHEujgCw6llHYfKW+Lk/XXL/KMVdaq0qMfNnPFSSD+WEMjVAOmIFGPV81jkJu96/bxeywiExzqEvjS+0np1lCdneMHXpnVs9eOlfdA3yPQ1X4rK6b/xmtz3gAsox3mauIhyHi25wmj9pVtr81zajvV3XypK37rw+pLQs8YZ3l1lDSfMx1kYsJmESlF6rpa8nbuSzTFJEc6m6a6IpJQtkem52dxelvDuqjPx0jUvuHse3l3J5vZyEuDjo2lPJG6AvHr5KvUjaqW36Yl9rdBo3PvY5lnfWdd31/kOvU7Z0+8/Tu3TaViIhGha4kW6qbDh3VVLvC66yTI+H/bON1rnQURSemdyyeRtU8rfm12K4NIPhBSLqVK0I1f3g2Mz6/tTW6yX4G0McaFDdMd6Tj9miWk+PvpHi6PcfuRS+fqMK/RY2LLfYsj6HMd52riIch49euKlv5R12oa26u2bXFiRJtQPzOocxRODWSYHs4DIRm59tXeSnxMHH45l73xjMplvJtg4Z3gO4LiizgrXoXVeTVMKEgc8UUt9prgJM5bPGVDkIopNPRf2zbpBwO8XHd3V0Qusy6oV0ZPNvveZFm8gvLtqHYOFYYkxeowbUmswjmJvsUZIcaStD9QU5f4fWlej7eW1UOP1WSJNfyaUUuz0a6zU5ZIZSd829E2r3DHNRbT0GMdLoShM9bWfoqOF9TJeA+U4Tx8XUc6TBvVKImWRUvrCy9kIY6JY+2WJCahVfGwVe7dScRrb7GqMaEUyR8jx3FP5NI1px2jtNLnc4byP1k6TuOYmt6h7unjxMb0WduOYsGFdVv0T16mkuqCl0IocQdS1HAMHkBPLHHXimw24ZrkwP3fNW+vmVCn9Opg3sBlBzjmuZViwoGhUZyLO9vZWih85H+rHzHFlzm9tqpxlWlMDH8OSUED00HKZE6kTrRB6LaMUtY0SOpWvtHzuZlnf+kWmwglj5Ihy7nrWaX76PcHwd41e3nGcp4kbSzgPiiHGEiUwIbQK1tkIgie/VqE1v5bB8vPkultjwJd8eHdlFuPX1F/p9LTN7eV2gb6OXlhmCrNabD9xWuYbTToXpzKtXr7quiniWNLvNOlUx9wSRRxN1dfMwYdj24wiZ5ChttMxclgKqQeWFc1le3Kuf8Jr03Fq6hR1mi1em9vHGoMWHmuLvh5pxjHifl+d85F53eb2cn5ZPRYlqnCdWBNukXbbAUvAIPrd1w8vZ3QhUhfZttLzePuMZVihz7VluNGHXs6KomkjDG3mYW0rt2/WNjQwWan53mC8Juph4cYSzhBKxhKfuevBOM5doL9crS827R6mU5A40sRfyDXOUDn7cz3GVE8hIiJT57bJxPg4RZ9SnxepTO2jCftYT/aM/zsOdS6gimxuL4uwENJpdoYdNpNe1yy7ub0sY5lMotk5jJ3xROzGzXJYEG2Zc4lr7uLtcueamoyhPUHEe0VHdg8+HHf7tB1eiayrbR1eiaw1y5jR0CCyvyJ75+1HtaganR2LrK2kKFxWUKn93ryJMja2ClYvX8nmi4+t82gKpWZZcx9KZhSIYOHx/RUR6W8onPus0deFRU6o1IipUgQq50qn0+5yxg9MSdCUUv8Qve/7HC6lYlpAfOY+t/Uxt24myOX0eRdPjvO08XQ+50nBYqkvf99yBNOU7Gz19vgxnaKSI33JakewZhI8OptEGi5efEzNdZF+kksVCZ8a84lcVM9IhWqtywVUb73M+Iga5zbGE7r2xUy/xLmlPl9YHz+OlD8rYsETx9S7igwPevtNwcRCTSY5bY1Tn/S1j1TD1gSRUttQt5WMN7iWi/db/0hdk145vEpueGncPZjLHF6Z5jCp9iUTxWvth0Xf6/T5z/1I+32J64trc3Kw4cO85JzqAMZouQpqcwjA1xc7GpZ+Xr9dTumxeH/0jXsouNb7+g3q7ACPPjnO88RFlPNkgHjJfanVfqni9Tx54Bx4NpUoOUJZhhGoUch+QRsTbDm8mk7YG4e10dmxjM6OW+vTtSS6uSuwGpneibOU4bJm9em5DQbVk0ne5TBNjAyRxeYH2F6yPWer9BxsakD1Gjnr6Te7W7J3vjE1vmh6FiVr8MJEPyugaF9F8mYP1v96fNx2ALVcvO7cmHDdvtndSiISf+NYcn+u1OgWx9kSwFbq3c5Ky/yDe3XlJunVNWg1NyJ6lhkvhVZq6OZNlPHRdZWAwDXD53ne93gugqU/By3hZtaeWTVlGl2jRp+Jr98um8KNx2kZ+JTQn926CTWjG08PSZd0HOdp4CLKeTJYxb78nEhbSHGqjL4jzQ5Q/Jz+oszZ+GKZmpRCiJqioMg0yR2dTdKpIKpev11Of+voBtZjpSn13dleCCq9KokOEhmLBse0aKih2VnJTpysCax2U0OUBBNgTlnqNI/lST+iUk0/p1x9EB4brZ22HPYg/CCuSvuH7aSIQCZixdE1jtzyJFNjTSK1E2DHor25LuP+SkqRsvb95P311OJ/Zxqtw+9akQOreq6xEunvE5Ubl0mpZsqiYErB70/ex1JEusbEopRyVys8sCzfRMgJKfPGU+64WNE6epyvW96e3kbNPnBkDOvgz/vSjS+cm5KduuM4TxMXUc6TQosgRqfviXQnGnwXHPDdcP3lbPVgYato7jnCwosL+rW7VQ0t4UGRnU59SuW69GT41iJESBdr0uEgKjr23bNQ6iNUclAzlu2InQZEfng9iLLgGuIoCdajrao70cHtbtSwb7JeimodfJjU01kNgEVo0lkZCcCE2noPZNdNYzFd4nR0LpPGhnXwexNCUTf/xfrMY9PcqNhbt/ch3dCwxkbXVdFxrcedz3rP9oFUttXLV7K33hXWcIrU9DXP1Z99QwST/l8LoyFW9Pp86XPQJ7KstEBQGxXiMfD3hL4xV4pKadyZz3GePi6inGeBdglD2h/uLGuXvFIakxZFpWiB9ThvSxcxd8QR/yaSVe/2cssmWsSewKT1Hl6Zk/mUAkbsrW91fm6TRUTD9ITMivzo4zNEvKVIBOp/1LpYQCWaFMzVy1dpIt8SDtKcz2Zsmzcx2aLnJmKcfpa7PkWmQr517maoeRt0Z//wKtXycToU9rGVamjUGLEtPPaHU/v0jRJsg+vIWttqgGGHTvni3+kcqUk9N1nujWoWhJROpe2tXyvQNqWxKbnU6eVK/5eWnzkCY6QZD+4DlhFYLKiyEbAekEmgMxFy70vLAMaFlOM8bVxEOU+CXL0GCx7rjivukPOXpU5j0RNIXePU90XJNVZAFyZ3BIQx2W9BER2RZtKAv40oClLKtN05197wBA/LsMi8bd7sbs0djeLjoMG6+xqIltDnG723Dj5MUiizE2EyMUh3y1lQkKGDiHQm7LNMxjquYZmU0D4w3tHaacdQojgxba5PNoFIUKSndT4MUaXdAPW+pYimEiuoFQufpOVyyeO23uetNFPpfl50xqr2OXcsRNrX3tDos+bixcdi9E6knOJccu/L1XpqQbLI9DUdRWoJzozRi3njSKX/6fXOinZptaJSpePtOM7Tw0WU8yTgiZ014c+loOQmErqGipfD31YqUc0YS7VR2F76u8cNrK+OiiNQvD/8Wk451PVWcX8lWZ8vUkjpqBbG1ReN0kYNeExEzPovLF86TkPqpUZnx91r5vCqv9i/qfkx05ZoHzCxxvHYO99oRRwg4vqud4BrLe2jUYNVBYk8ff3urW9lU9M6rny5dWN5jiI2E9/c+zTdfFD1hLhhYaWzWf2KrPc2ntePL8Q0oBCZssAx4ZsZ6aZM89rSNcwGH9b+amFk/c7t99xRqEwfLb4OWumzhTTIFC3U17hynJxVUPHxKNUEgru6+eQ4zv3hIsp5Elh1SbkvsNykgAVTzqYcvXKQ1sGPl8ajt6/XyX8nhzWZmAVkI1LNxLxjx0yTiDRhaJzI0vMNnUmxsssGJceyoWxuT6J+qE/Rxz1NyjOYkSTl+Le3vpXqlHC+ULvEpgQi0ismeIKuI3moO+oVJBw5VFGJ1LxVphFDPSnm5ri1tKyna5zQSmOnvxGREpGW2LMcDVtRQTUGKxKj/4cDGyJh1j4iTY+FOYsN670MkaWjzny98P6JVKab4oZFSRjttJsqtyb+lfWM+HyrdgsUae1vnxjsc5rTwql2fXyTiH/rv/W69fJI/eNaQ4whK7oqo1M1Rhyl/UWUquTs5zjO08BFlPMk0Olxuedq12HZ4+ZSXHKphPo55NJbKYEQZ9Z4Vi9ftXo+IRLTSsUje2dMIjDRwARX11CMjyZuZui7Ml4KEt5dTcwT1rfS33oCMhMUFWPBwJNb3v/w7qplE85j1mOB8MS+4lzBIS++7Fp1p/VXFvaD1jlS7nCDoHqq8VKYHmdpu/lBsPC1lEslArjOkj22FtjznMdmfbonFsbUihSSKOhEDwsmG3o7ud5JbC9tvQf5eLFY4igVxEiuR5wWi60Jdu44FvYH700dwWnVA2UiLnof4/5K6/3Mk/ccHJVaFDX1clYkr0YAQijBeRGiicWMlX6txVZLqBrRKU1pPzCe0nKO4zwPXEQ5T4YasVT6wocDFqPvPHL9lPWcHos2oahNC8KEiWu1UNuh7YRFpvbO+J+jMEyaVDSTXdzNxg/ftce2Iao4Na7Tk2eI4x1ZFaOeBQ5jED+YIO6tT/sDIcKkx6FNQ0Zrp50aGZwLPI/GnbmJXCv9r1mPbl48qAiexUTzP0/eMBlmK3SIXJ7oITKTE26cypbO7/rWpAHzp/ZdessRsGYfRCRNQDFu/b7RZgxJDBlmDy3xoMW6Ooe4EcBuf1bqnkjbphrnXjtqco81Xk8ufbD3uPC4jcd5vaO1005DWZ70a+t8PabkFEk3VHCd9NXQcUQd68fjelvcdNnaD71/WtTMi74ZZa3bqtHCMek8pgWqSvUrpS+ykyPQopUt9++kdYTjOPdGiHGgG84dsfEixNPP3vconLtGT1QXBX/R5Woj+p7LLYvf7B7GdStckMxWzTxxsXoCoWiej0nuLrO+M8sOgFyEr5+DkLh48bFjaqBrePT22Chh73yj1Ri0D50WNwi4DG4vt/a7Zn2d7dIElA0QUqoZ169sL8vJ++tUIyYiyXKaz0uvscVRN5qFSbeuCcK54cdEuul9uZ5Smri/kqKPrXS6muhUJooVPnUNG0SmrQGsa0vvT0d09PRY4mhEDv1e4Pcov28xVka/R3nfOn21jLF19ku7EVr72DyvrwHsK8bPdFJsm+0h8szHoARb19c6+uWY9XUM9/DLrbPm/PeRO5c1n3t6vBqM34XUw4M/wx2nj/A5+XyM0bzj6iLKeVDchYjS9H3p14qu0mRF3xnmCd1o7dSsJ0FKFveG0X16sF1eb06siUhHXMX9lVb0A0JBpHvMcsdpsBhqJoozi6jboBkTzolI++52EojGJFifH7wWx5OjMFpssqjD30hj1McaE2qe+PH5wvZLE+bXb6fL49qrPhcZEaXFrHU96usyCdbKhrQsJIB+7zFWxDknDHh8+vX6tSl9bkjfMYuCaO1zqOT3p3VNYExaCNSKKZH2sbI+D2o/M2u22TeWecwZrM9LkD5/rZs/heuQyYnb2psazv3gIsoZgoso59GwaBHFkSFQijTNA0eWePsa/tKN+5OJaW6/48vpMcG+WOII6+VJC+5SW2lBre03y6BRbylNDYKC7Z/NybCFSjuy7rh3JoP3gSr8T5GUXDSB7l63Jrh0PJNI0c54VpSiibK1RFgDoki83b3zjbknqkOiiB1oHDlyAkaLNxYQuL5xk6F0I4TFb27b+JvXnxNb1nr1cdfUpHfWvF8gSq1jhrpFCODW9aDJvJdrIiNaTPHf+AxCtMh6/iGSE1RVnzlGhIqjZR5tely4iHKGUBJRXhPlPGl0ATmzSAEl0m7im9s+T0q0uUSOZBRguJPpxqoikpqccvE01ym06ibgVkWTWdTj8OS9VCvWO3lUdTCoV7L6Vc3iVNa77aE0zWJFaBJJQmfzJk5NAlRdRdxfkTe7W636rySmlMufOclV5wN1UZs3MUUr9843WutCDdlQJzAsf/HiY7XJRkILyaYPFjv35eoBq9ZJy1vXlzaKACVHTn6djj5pAVWKbDGWyxxvQ/+k90uP+2SudnPzJqZ6PjgltmrN1HvHMk14s7uVrtMc2nDDOodWLdBDFVAi0zowXavUsUW3MPp8wYxnET2oHMd5nHgkynlQ3FY6H7DS6hZJaUKn01O4XoRTyfhOLyJRnNrHdRyWE2HVXTZVi8PpYZjA761vtWqmgFWrI2LU+lRElEqpS7eS7lfrTqeiK639b8bFEcKqtDjDna5Yh0V22VwDxJFGbSigo1IcUdBpf3zttVIWe8aflucIiI6w6ceUYISg6DRXFVvQ9NUs4riFT3SXuYko6hRWjp7kotQ6ta9UB2WleDFWaqCIqgdTcKTXiki1UguNMXCk19zOnFFM60bRY0Sn7tamtXIKNGrQnMeDR6KcIXgkynEy9BUnD3GZ4okOR6TYbllP2k7eX3dqcUQmX85cNK7v7ovYboAdCnbLevKWBJS6Kzs6O55GRpSAyjlxtaI01piayEzu9Qu9u7vTbTqcHRdojo+O/q1evkoTXO5BJIdXyUWwb90QS4g4wImts880Vt0n6fXb5eTAyMtyVAoOh3CBy6W05nowdWzKG8c9K+KA6Fxn/NqJUe2jFcnh8Vn1Snq5bDpWE1FE5AauflgnHwO+McFip2/9GCP/9IFlSjbv3GhYv1ZvI+dCt3pJ7pzWuRG7RUMNiFQ9ZgEl0rbJFxE7opexnMc5cgHlOM8Xj0Q5D4rbjkQByz2vj1rXqk4dA4QJOcqxYxgvlxzgIKCUCx1HqfSkONUVDYjgcINSnjC2DBEAmS+IdO9GZ+/uKfHC0TQL7YA3FzvTmrNUpzTDOtjYwIzCUF2bOXZDRLFwat3ZNsaP86ENFvjvTt2VgsW6JZq0kNP25IiI8rXbul4qj22fcQKwjB7weCuKZdWXKfia0xE97UzH28wKKMMhMkdfimBLWGbMIfrMMTStWq5chFFFB2+zridXG2rVkd4HLXfNihs4/F7JmQKJtMW583DwSJQzBI9EOU6GIXdhh6b+tfLlm5Qm7vfDTS/HS0FkZyV92aLRbfg0ddXC5JUnY6Oz42mkSNUZZcnUnvDkwezrQ3U/ItO7uNriW28Lfan09nJ0bJvnoZno8nhKpB5YCj25btW1NBPfvjoTwOmbPEnGNdAaq1GzJtLuQdOanNOY0ICYxRDOk1VnxIIOESe+JrSAStvFNitrqsZH3f5EusYJ1zxHjLiuyEpRK9XmWQ1mEa2zIl1V7/WdlepIdWm5Qf3GCnCvI46+iUhvDZbItPZSR9CHRqq4Bxf31dM/ItO+btj2faFrpPh9o3t35aKnzKLTxB3HeZh4JMp5UNxVJEpj9bnJUboTrCMMItKyt+ZIBqfFcT1UzVhhT64jPMW6FqqxYXvu3Gv47n2rdoYs2VGXkxVvO10LdcuRbZDL3wCwD52aHz4W0nYnTP9zZE8tD7e46uifrkGTbuQnkakr4joZEemIV7NuR9Ujwd0NYy+hnd/YTt3sN1XpcMbrtwS4TuFjW3HU6Q2+Tna6/Zd4HRxlw3j69qkmCsXk0hJ1amVfNEq/hjEjiXz9qvFz36zcuvA5VfqM4nVo501r3Lk2CnyD4T7oy0qwshEse/NZPtedu8MjUc4Q3OLceTTct4hiZok8mRbIlPbDtsSYRMaXYk6W+owptIgyqakDMtKh9ITZ6omUJuIFcwGO6mQL6S1TggXQao6rttEyILDQQkeJTy1QekWEEQnoq4Pi7SCdj40S9KS1z6iAI024FrONYY3x8mRaW1vXRECTAKL9B6VIkE5TbPXaqjUKqRiblabI2+28pmDpbtFX2wWsJs8i+ZYGHYOXnDhWx4k/a3U7BP1ZptNZ2aiERWepSS2POyeieB90Q2mR9uc0xnIbAmWI02VJROlj5TwMXEQ5Q/B0PsfpYRFF0inFCwX1VFg/Xgpy8OFYNm9imkjy9iwBpS3QOaVPpLKgubl7X8QQMfylj7RCFlAYa3h31ZrcajqT61yB/oIFlAilp20vT9NwmrH2pgweXnXTdkhI8rlevXzV3ndr0s37Z9gl9+5Lk64JcwQRSgGUdtSgZaeuzTKELLSb9ExG22/zpBgpcRBQQ98z2CYf2+xyvN80ls2bOLU+x3ktmXnwvhSW41YEq5evpuPbKfdNG0IpksTpjCWbf22Iwevl11tjbl0TfamXZAgi0rZdx29YpXPaMn7ztWlRShPk4w+jFJilcDrgEEv1WdISMZbS/xYHH45lvBTsdFvHcZ4ULqIcR9pRnpov5pwbV2dSRwKldXfz8CptE8vzRIWX1Q2DtcDqI5euFz7V1WPwBNN6HH2LENnQoO/UbQilGrg3THg3ierURBFSvywlBEdrp9P92VlpmzSUIiPKrU5EUt0SP9Zal/qNZfnYY18g0DsRLuP1SPHaO9/oiBr0peL17p1vtGqh4Or2ZndrEoGoFDL4n0X6yfvrTu1TGiORJupNWujq5Svz/ACMe299S/bWt+Tk/XX6O7k1NscANTzYRx5fTgzMU/eSSwnWzn1WKl/fegHOI+gV7RkLdxZS/MNplvra1ftm1UL1pc2J5AXhEPD5OcSJ0IocWecsd17QEPkpOBg6jpPHRZTjLAjcfU2TFUxalS3u5k2U8KkrSrRTlhZL7CaWJtFDm6TKtNErtlMrbuJL+2d0dpwESmdSMXBsCyWzX3M3BVVmBogI1opSfq2ZNgQL+GYCyc112RkR+4DUUE7ra4n5JuK0d77RTo07nDTIxXJc44NjxAYW1jEbnR2naJy1HxzR4XRCpIIi3ZLNJkTyZhlstV/DxYuPMjqbTqAxqUX0EOmRXKvI5inYbuf3gm4IlIREzvYd1NqpazGFscP0IX3GqHPUQkfXVaT9tt7nph18BWxuAXBN16bq1USSSp8jLp4c5+njNVHOg+I+a6JyNUilO8Y1Bd4MT3JzRd1sgY5tcH2SlcY3yL5b170YERDeRjKyKOSRc6pfVa3WHaFTEJlUKzXHWLX9vMgcVuoirRoUi5y9uXatQ/0SX4eplsiwTYfhhBX1xD5hO0MaOnMkhWu4uN4FgoUbGycjECMiwutvmV9o8w5lqlFT5N+6Jqxtq7q4IXVR2tK7ZK2uz6dlh68NOKxt6XqiVr2Xca2Zdut96am0TMn1UTNvhEl/ToLc57U+5jV1Skhd1ev0GqfHjddEOUPwmijH6cGaWOGx3CSldGc4Z5ErIikywF/+/FqeGMC+HHeNRex6niFf6p3aLcM17fXbZYkvJ5OI0dlxbw0RHz+uk0rcU0QKY+e6ClhbQyyGT5J+ZhkvXwfo4VXbCykHTzzN3kUyiUAhUtRKKaT0K52ut7m9nM65rmPRzZv1e6I38mEcMzSvRZ0IN5G9ePExNQ3mNMU0ac3UZmUfsww1cg6IBmaqFwsJFldzXs/YFjf3BbrGSaRtyoLjWJMOx3AETkfHsxGoGox16XVaaXm6pcKQH4A6KZF8Py48x8uK1LW30NGo1ctXtyqgrDHdt/274zh5XEQ5joL7owxNyeBJUatAvWH18lUqiOfHcnekwXgpTJ9r6qu08UQRqos5eX/dvYNOhezaPALbLKHH01n/fUamKPUINTQ4/hg3i9T0mgqwPtSdzT3BgjuiEcHhZTit783uVschEK8ZrZ2miFPuWm45smXo7FcuOqGETyuyRechpb42x258dJ1MBHh/IbCsiXE67odXyfikY4hwNL3Wc+8RGCSM1k67dWii6nIozXIRhhPz1M30icPSOq0UPwgU3tesWKTPC6uPUtbc4sbus9RZvpA+aF0PWkiJUA1dRoTV1kjxzbTbStHTqYcMPgOGOAY6jnM3uIhyHEJ/qc5zB5C/0K30Px3N4glzxzb68CpN1PfWt1pf6G92y/2hOCqCCWVpeZgFiEg7wlEAd8a5uebm9vJMNVu3zs5KErjjpZAm8TOn4DVwtG4eRy5tJgADkyTQyQ0RNT/4v7OeRjhaBgUsnjCpLk0S0bwVos2ExCeuiXQzApPu5nrMCW2ezCPy1hI40nXaQ3NZC05548mofm+bAqC5VrQ9vGUq0wfe39pgoZSO1hEXmfdSrckFCzauC+P1alOHvh9rPy30tcfHET9pnZXRvlyEKpmT4MYCorG4mUJCqobbNIhgw5ZcRgQfOxdTjvNwcBHlONK1wNUTnRK5CZUVVWILYP0ciPsrLQOA5CYm04kzXhP3V3q/3FkcmPUsNPHVDVarI0gU5cFPil48kPooEN5dTSfW2gK+VvBlIjG6lmgwtN6LFx/TejDZztVmpPSu5nrRUQqkhCYxI+2+PjCRsMBdckxCITpFCrbhIq26J5749YoPZdwQ3l2lH3MdjdBJaaTq3HAUjiN4AK0HLKzHh7jyadHEgsFKLatJTWP60vpysCg4+HCcRLQVJdJocW99/vUJqb7nO2IqY/mesNoGqOtovBTaJiXNsveZKof3RZ/ZDbcX4Nc5jnO/uIhynjWlNAoRO5qUW4bvKucmCyXDADiD6YJuTHD31rdaURNMbF+/Xe6vwWnW2VfbhPSoRXHx4uNUpAyNSN1SBCs1CW62wZOXaqOAzDHiaEhvfy7GKMxnEwJMshA1QrQvnU9yrjP/J/SEWcN234hycjSGzwuuS70fItMIUIpsKit1PflHvRa7R+oxYRut49ycs7g/MXqA2NrcXk6ps5ZLm5W2akU1Ul+qSkGVE03YJjsElmyzO8dHbd9Kw9TCrE8g6P5Yeh1DRZJehl/L+13zOhE7Gsa0Ug8bsvbpuj9ZI6TuO1VOm3/kzhlfMzBJcRznfnER5Txb+M5+7o4xk3PCwnPWekoTJL2NNFHYXp6YHBxetSb1+k5livoYk9u0Tj0hrelhxMwhZOL+pP4KLmuttCG6s5wVG3OKOb1epBcibejixcd0fJF2WBVBKh2TZsxsG12CbcgBF69bKWdI9TRFUs8xQ+1P67pRr2HRJjI9jkmc0MS1lUqqXO1Q59R6jUyEZnYyrcTk+Oi6VSdlHa/R2mkS/zASwZixDR1lsyagJ++viwYIljFGCS2acs/X0Od6V2ueUYIn6SL9jWZrDR2YIRN/LcJ09J7FbU0ELTdGcBtCqnSTzjoWHH220BFEx3HuFxdRzrOk7wszNzEYmsqj11F6PXe5x/iGfFHq2gbZWZmtyW2N6KoEqYNIE9y8ickAAClatzUZsEQngKsdTA+Q0mSim8X2wC5glh39ULSLI6clWZNGXT/Er2WxnPZ3Z+pcqLfXmbBhu9SwGEIdY9HHMUVYG1OTzZs4jaApZ7dkOkHprC0Lbut6hhmHSnkdH123omE6rdC666+jUDmHudzEHo8NqZfKpQLz47pmqKY2aR44eqQfH+oKCKx0VGB9BvTdkBLpRg6rxWQmNXDR0Z3SsdLP6fef/p3DI1KOc3+4iHKeHfiyyvUTqXks91yroDmDTr/BxARuZiKTyaJO0ct+WTaTSIgUEZpQDkkpk+nkGKlQXI/VoqbwW0ULABtitNZ3B+QMNaqcGHN9tRQ4vxBo4ZNU7d/m9nKxLgljDO+mEUrzOstEFUdnx63I5GjttJU2xePm7YpMXQzR1BevT6mmJMjYVGTzJibzAiwDIXXwQaWO4jpuzhFEFVz8WhFXEnPpsQY2ZUmmFA2rl6+SgOMeWHAGhCV8nxvcrPDEGD86Aq7JRa91TVLJnKCWvkiHld5cm9pXWtbKCgAli3PLvS/72bvTdn7kdMihRhOLIhe9059HJUHlESnHuT9cRDnPir67drnJTO5//aVrWexqrLoXTPp4AqhTupAWB4HDtJqmfpqut+TCZ1Fj0Z16DdVGqZT4eP12OpHHvtXcSR8qCHPwpDod28Z1rjVeYDUWNdISLTDBMe2eSQBYTXv5tzlRsiJkPVGzVs3d4VUyERkfXaeoGSb36BHWSWOliWrcb1L6EG2S6eSezSo4TQnH2YpGtcaeiTiJSEp75ZsNLeMAZVGu7dP5fz4mnQa/MhVis6bMsWDi/RepN5CogQXUvBPr0uvnjbKVSOejIde/qrheXJ/qvaDrp3Lns6Yvk45ozgputGjjFT7+nsLnOA8XF1HOs6GUTsLUuPHl6qNw1xx3sC3bXXNbsFI+ujYjFyw2WkX+gCbGaT9nSMXDHdBWDx/aFnoOFSEra0QjgK7lgchbvXyVFyTUv2qIkNKRLn4t94VCFJCNQRCxyW2PU9cQbeGxj5dCd3KlxBdqn/bON7IRBG68zCQhqJslG5GdFgVhgskcJm0czbl48bHb0Le5xrWb48GH43Rdc2SV/xehibEhUsO7q1SnBsGUaujON1p27ykS1qwnpS2q/UzRMtU3rLWsJULVunIpbfr9XWPsMKt4KkV0wG3Yci8qIqeBeNICKtdLqvdzXNWTYn16nby8zhAonTu+2aTTRPVyuRtTSDPl7xJ8DsySwudpfY5z97iIcp4FOQFVmhTotBIdfbKEVKd+Q73WimhhEg+RgDv0mOgffDhOE1idntSB77LOkCKHCUF4N2lgyrUvyTq7JM64xqUxFsjVseCuP778W1bWJDg4fe3gw3G/E2EDGx4kI4n1LXty1Zwry/WN+zJhLOxKh3PKKWsi3dSnzZs43TdEgSST3kjoiTDS6pIFdCMIFhWp64wFE0waM2idW2WOgbFrQZVEOq5RJZ75PRTeXU0nosZ1hxRY7pXVep+ryXHxBgBHV61opJEqtoj0rz6zmnlYxMT6Nnsk5dA1TmYqXw+d40fnsOSSyq+vPX6ziMu+ei9GRzNzjzmOc7d85r4H4Dh3Qe5LqvZxrkfg5zgdB8tsbk9T8nJmBbrOgfPgL95O0pSkifrs7W6JyGlaX3ZC8+laJlOMYxlpK/O+FLWGN7tbIpciq7vN/slHGtOxyJm96bSNQqTDYvMmijTH8PXbaU1QeNdE1LY/iny6bgmNC/mY0t+y6Yo8lsMrGeMxLJ/2o9mnnRUZS2OAcXYsY152bTLBv7iZTqpwrsy+UHR3+USmy6xevhJ5O40Q1qQw6sgCGyQkQdtEZy5efEz70hIDNRHJZv8wZj6um9vLsnq+IRfbH2Vcsa7Xb5flQj62zqfep82badpWy6xhXeTkffdO/Ou3yyJUt5KE0xqdJ8m8n5tjdHHzUUQqoqg9lFw6h1K7rlm3uUjx0xch4c+yoWNdvXwlmxnjCBGZRlyb34NTK9X7YawNS5r/V9XLaoUsvzeHYEU1S3VPpc8DuRy0acdxFoBHopxnwSwTkJJo0uiUDJFpzQvfjdevASfvr1O/kpP31y1nPe7dVPMl/WZ3S8K7qxSp4MhNduLeTB6RtoWxcTPX0utEpDpCZWHZeusGsIgmtqy9c+utSWUznstG+VTfpVy9Egsm1Fnp3kAik6heLs2HU4NKxeWcDjcV8O0oXW3fq/Busn/W9ZV6VGX6Tmm44XLqEUXnCYYWSM/Csrjm4v5KqsWK+yvT5tNNihZHY1tRy2Yb1nHgaFqRvlo/6i10WyyyTmrR3GZEShtldPafI55956lSaLHrYY4+J1fdKHkI2tERx7fv5h4vx2nJHpVynLvFRZTzLMi5SvXVLM2yDaSNsQCzUgGZN7vtSXVu8otCfrwm12sk7k9qbsK76eQRtTctOIWKhJs5odapV9pcoURFBCM1d23Eh568oNGwiCo4L9QuDQITMx29yaV4qbGLTAUzXPT0volMBBQfW+0WWZNimkRnI5J1/RpExBBjEbwm7rfPZ3ypmjSr41BKr+Q+USl9iWuXGvbWt6ZCqnneEsvW+6ZVlyZdc4K5yBiI9K2/ZDhTi7UOnWJ8125yJYa49dWANOeUtlr6UWRFEUen1We/tpRnaoTULNE3/l7gz4RSHVVumzWmQI7jLBYXUc6zwUqhK92B1BMWvR7rcd2o1Oosry2KsS3m4MNxEge6Ye7Fi48SX04myKOz48kkl37Y6U9kKshwd1+7nJlGDg2YPHC9kv7ZvIm2g10fjWhD1IbHDMEE8RF1eiIidNJOcaytlypiCT7UMTXH0BKweEwXnfPf+ppi8aXd+TR68ozaNYwPJh76ms4eEzIAwfF9s7tlFuWXDCvGR9fFiCCiTTBOwT6y6MP1bhqmKBGbTCR2VtJ7QERadYODI5GZZa33B5sb5ERM7YS6rx4Kv7MW3/KwhNSi4UhRsT+WOkemuYiR0jwkzTsnpDgaPUuNkr4Gcu9/ROL1NvB6j0I5zt0TYlxsk75FsfEixNPP3vconLsmfFr8OrWpRE64cD5/aWKiv/SsCEJt/cDo7Djts5VTj7FDjKVJFTUj5UkmJqwihpOednLjx9SEQ0dLcrxG/RaorcFhrNcMqOvhKFSyqJ7BmdAaFx9PkfYxhVMiziVqE/R1pJ33eBmRqdC2jjfXXuntjJeChHdXaX18zXXSEvV5Juc5RLLS47lj13NcW+uxXotxyOR9Hl9mXpO7HkTa0SbVSy3Z/FemHdbQsk/PLbPAPlIsmnj9ep/YEl/XID0kG2z9GbjIejKsD3D9VLquej5HrOPYJ0pzdX48ptqoEL93a5YVaVugc00Uxu4RqX7QBN5xagifk8/HGM30II9EOU+evrvFuvapRkBZd6H59ZbhAD/PdR16Wct16fXb5e64aFKwtz6pg1q9fJVc9TiNL1lwkzV1qT6qtvYqa7U+hL6ogTWh5hobikakHlYzknpwNQIKKXN761spRTNFV5raGKShIYVSH7vcscTEmPsXidh9hHQtxOrlq1bzWlO0awMLulascfTSc1yLESn1+vhSpumjgIQSiyN2VGy97yiSifOysDQ+IkW2rB+ZWsDPExHC61Okqa/mh8A1dx8ueiV0PaBmEWPl+qlW6p9FJi1XR3j7nACtiJQVZa6l7zjo1GZEofF+1z2mHMe5O1xEOU+eUq57zWv4/74vSX4+VySMCTCEjY4aWLUPeJ02rdAcfDhuFeKHT1OzCE7RSvtHjlegxowgTdgXEfHBOGot2TMTzNHZcf0kQvcDUtbs+I2aG3Dx4qPIzqQ3Eey3tQkI31227gpD9MBcApEMK3JppX6K2LbTeIyvG4yd+yzx4x0sG3FqCtz6Xfn64vYqXsv1IjzBhTjU/asWktJZMa70XCPeWEwNmUwXxdOi3l9y9+leljjgm1WLHk/6bOTIYC6lj2rbcN50jSyL8iHiZGgkqO84lK4lzoJ4ymmdjvNQcRHlPAsspz08bi2LL9VcykzfOkSmESVdcN33ZccNaXNF5GgwiskxzBjifjtlhQWVFmup906leOEv+yGGBVVUmDfUUD0uPVGlqIJe32jtNP3gHL5+u5xMPnRED1FG6461tigWafdU0uRcAHPEfWo+20QUU3pnU7uGfcmdey1CxkthEqFr9rNozZ45f+na63FztARQalxsRICwPr62sxGx2sfw+M4ksmiaS2hTAyWmRNo3Q3I/aT8yx0OkbgJ/H/UwfX2KdCT9LjBd/YjOtUvnzfxcpnNScx6GCCh8N8xiiy7SNlDRkWrHce4Gr4lyHhS3URMlUjfJ0Hf1Snf3avLorZoYPYlO/X5kapDA+dqYVFpOf1wrI2L3VEHqVpo0i3TSANMElCYMpfOQTB4WeJc8sVO57r7aHYaNNFSdGPpC4TnUJ7XSA2V6/M06C94OR/aaSCAo1T2JlAvKrVo5gOcQARORFHnU11MWq3aEfiN9seqcZ2qaMIHVNWb8GB+v1rj1dUHH3WxwrevZctdVTtTxeAekCKbjVAlff9ll1re6yzTjG2JKsOgJ9kM3MrCOGehcz/r6VBF668bBPLVH1vs3B9dCAf2902dK47TxmihnCF4T5Tx7ODffytO3RBAc06w7kKU0CiufHnntuANtfdlxLZWIpDSx3F1SFlDJjUpNEkdrp53JBFsGj9ZOU4QCgit8mnxxW3eP40sZVK8xmFz905B0v2Y9KWWS1sOplK3GxU2Knki5hgmT/s3tZQmfJq6Fe+cbE5dCHa0p1F4wuSiTVStnPY76iCSgmr5iSO2sInM+a4wVqtZ1eNVy54Mr4Mn762m0Z2elf7y4Dmgb46XQTk9ttmeO2bieTBvt3D4bNVEAoia5VVb8FCe9pcjZDO+/RYqe2t5INSlmd52G1jpPDficaKUB0vVhXQvzRNes+tkS+GzKpYri8buK+DmOM8FFlPOsyYkZkcmXJDdJrUnL4y9bnQKoe3xYr7148XE6USdDAL1e/Og6qZQOhUkWmws0kwLU86C/DtK1uFaBm6WC6gn5vJQmiDWTyGYCxOIEx5LT43gCs3kTU4oeTA9EpqmVo7PjFMXaO9/oNAZmEQMDCl0HpO9c54Qqr5fhseceY9MFnK9BNUIqMoNU0HmEc+pZpWqXRGgi2rMNNkJJTaSN9ELuzTUkVbWX3NiUmOPfNcw86d2payYLbiNCkUs1ntdk41YgQaQ/x2Vnpf1Z3QhpKxKpb6jNI0yHHKPcdnK1u47j3A0uohxH7AL+1ctXxYmuSN2dWJ5UYP3cR8pET5JUvYU1BtzVT+5yhv2zyPQLOTWvRY2J4dI2Ojs2a61uHZ1mxZPY0sSYJkupMTGiTIdXSRiLTM5Fp5amScFDZAmufCygRCQdk9FZO4qEc5uLNtbSVwOlt4nHTt5fTyNiKj2tmto0yUrSdaXWywIV9DVNTs2jG/SkONsUuLl+rChRx9RBPddK5bIiorxu6akZUxSFUJ8IVMez73pblJCqtS2vFQl3NfE3z4uRFtkST+paAHwjbRYhfPL+uhVdQqZCzlyGb+bp7TOezuc4d4uLKMeppGSBbk2G9JcuO6fp1CyRadpIa1JBKUaYAPIyljU2p6qET9OJKXL9OYUNPzrSxSIM6WF3xhADAP2cEoQ4PsiBh0nB67fLrck7C0g+jq1JyaFqzknHhJ3xeFJ123UjVq3Lyfvr1vlMQqBkIoHz3Rfhu2VgFZ/EUHN98qRTm0vkzonZBNqiFGUbsM+tCe4iImDNex7vR2tcEOu3OXmuvYYfXARKOfFZYm3vfKPzPi81a859B8zzPse4uEk7g9pXq/UB3/Qr1WiVRJrjOLPjIspxeuAvJ/7SKvUT0X2YeHLNNS4XLz6mZTnSYfVxGi+FiSBSX/AlYwtOV8MkOb6UFFlK9Tw3sS22cOe1mVwni+xFUXJFEylPavVzhYnu+KhJXVyfHofR2qkdHYHTW2NTjjvELDoxae80s22ATTKuidLkFtdRaWLTN+nJrb/VF0wkNebN9ohC6t59AjHP57j5GyKYjwdfp51zssBrlV0Aa9Maq6NRlSItJ4Jvoy8WY93suWtyaYN9y/Mxw/moiXqVek31ZQMMgevKhohgzmbAT05A8XnD9wSyK/BTclh0HKeMiyjn2cJmDyJ2P6lc/x6RyZcti54SLLiQUsY1TbqGBl+KEDn4bfWe0l/gOUHVmkActvvp8HN761vpLjhSXTC+bH3N0ElrbcRD1XYN3QbGm/oMUfpiabs6kpWiOVwn1MATEpGpAObUslJNgzaIGEJu+YMPx0lI4boyGzYPYUHCBKYcnWuJUuKsbSF9cm99K7n47a0ri/kmcrV3vtEbHR405gEpeiIV0aih0Va9nKrbuU04ep673nIpfYtK1ZslyoWIPD7DSp+ZWmyUrkMRW0wNTetj4aSPq/6/ZIqUA98zfc6MbErhYspxhrEQERVC+EUhhLMQwreHEP5PxvO/NoTwPSGEb25+/sVFbNdx5kEbM+jnrGWtxzmnXkeQsrn2me3gMTYqEOlGHFBPwtGDnMMgmw+ETzKZZK5vpTv4cX9levdWmVqMj647E5iFNzMFyla4anmi1RSWTDREKu6k99zlb9VN4O52UzPF56LjlthsG328cuRszuetq0LkLe1TrodSDXOm8yGiiXOC31x7tnr5Kl8X1WwfE0PALQI6rouLYEAtHlOKaMwCPlvwg1S02yYnQDoGDbS8ptbFb9HpgH19o0qv67g2GrCZyHgpDDbfwfjYzEhk/tomtDuAgELWw+rlq1ZqrD42tW6BjuNMmFtEhRC+QER+t4j8YhH5KhH51SGErzIW/X/FGH9m8/P7592u49wWQ7/Qc6YUeh1cpI4muJh4W+YE+ov09dtls79Fn5DiL1IRSREt7pWCBrEo9B8vhbReFmvWhGRze7njRHfXYHKOsfBxji/7m/CmdEejvgoTEpwPRHg6NVMireO2ub2cBJTI1KQD5M7VkEmM1X+MgROjFbHoM3FYaPomgZonTDhxzeGaR08zRKw0nabPlNKH91JaRgvtWYRNc647x1BNrvX5TK+xttfj9Iex8vtNRz9uuxaK0Z9nlqjKfV7OIoxyr6kRRItcpnPejfOmU1CHRKR0neysvaf4c8P6LLDOEWqwckLKxZTj9LOISNTPFZFvjzF+R4zxRkT+mIjsLmC9jnOr6C+s2kmA9X/utTXpQ0jxE+lab/Pf6S69FTU5uu5sS5tO6AkXJgitlChOE1LbgRDRqUraYW1mcql7udQnilpBuHQmBpXRExy7lkU2Pc4CiBvZitjW8qO10yRMIer21rdMsQzmad7ZN5lOd5/p3I7WTvvd3+YVUuo64QmnFiVIr+X6lc6EdGeS0pfGTn2jOBrAtYZMeo8suL6PU8a0I+es6wQt8XSY6X91S1ifGaW0PWtCbj1+H8w6hl4xbLxPhkSk4Ko6RBBzLRPeI0jJs667XOQpB6f4OY6TZxEi6itE5JL+/xvNY5pfGUL4KyGEPx5CeGGtKITwtSGE0xDC6fd8/wJG5jg95O7m6vqo0v8leBKXa9qo7ziLtFP6uA7q4sXHfNSnmcDzunJpYizMuBCbozgdmn4qBx+OF9uDZxa04FJjOfhw3HqsLwUxvLuyRQwZLiSheHjVEo0sUPRr4a4Gccd3i/l/Trm8zegCUsCSwDBEZrHurZDaZFIwAcndxOC+Zfr9gmuzdZ0qEwqsozVutf1OHZX1N70m1fwY+491QTjrn1nSIDufCYaZzF3R9/nIj/EEPiesLHgZTp22XOgWSa3gNSNSmZs9uPaGCKna9zyEk/4+0sfdOlY59z+8prRNx3Fs7spY4k+LyFfGGH+6iPw5ERlZC8UYf2+McSPGuPFlX3RHI3McQqc96C/Y3B1D/iLTKTgiYk/4jO3i9fjC0+mA46P8F6FIExWiGhiMX6d66IgItsn/w0gCP5iAd75Ub1tMlSahzba5fxNgsWnevacJsU4x43XntmmOU02yx0fX6ZixcLIa594VyWQjE9EYH123I2u0P6g5us1zzmYmnbHRmJMI08ImN8Gl5cxJY2GfUiPsjOFAqoGzfmagMz5yWhS53+umj5zJxKws0pzC+nsQNdc9nftFCBAdcWJ0/yhNX40TPotKx8NNJxwnzyJE1HeKCEeWfnzzWCLG+HdijP+w+ff3i8jPWcB2HedO0F9Q+DKrtstl1GRIpDuZzUWNkFLS+2Vm3LXWrn4sprioOZcKwqLu4sXHbrRi0ZNquKxZdTv0HJriHnw4Tucl9YHidLW+GhRj0mtZgqdld1ZaFsGv3y4nVzgtNLSjVmkyOmSiUrssL4fjhAgJGgmLSEtocJRI26WLyLAIViW6AWlLtKjtjtZOU+qflbYnMq3l09HgTu+lvqiqcsHTBg8LpxlLbmJ7F458GuuarUnVs2pD+8ANqdJ6c4Y8Q5dhsT44GsVYohkpszOihZOula2JEEL8lz4r9DaAFSl2IeU4bRYhoj6KyE8KIayGEJZE5FeJyDfwAiGEL6d/f7mIfNsCtus4t07pDl9NcbVOuzChL15EQl6/XU5/j9ZOJ0YUjTFF3x3hze3lNDnQ2+QvRl6PnhBh/zjypL9AObq28IldMyHJTWzY7h1jHC+FVC9TtDLX28nQuvNrpOqhxme0diqrl6/SmPADgSeSN4ywrIz7YAHMry/ZnTPWREuLpLTvTQ0Si5dcLZWulavdD/0YxtdpPA1QA3V0nepJSnVCEFLaHdN0XtN9wypsxOeOlKh0wuL2GpOL+ySX/qY/D2uEkxXp1+urdfbTKYB9yw8xwsB6B9ejzeloqTMfSiIGx06nBOMzqmQ+w3VZ+Bvr1OfEhZTjTJlbRMUYf1BE3orI/0cm4ug/ijF+awjhd4QQfnmz2G8OIXxrCOFbROQ3i8ivnXe7jrNISil6pTSQnJ1v7k5qzuELX3QikiIFWJbFSo35ADuVceRJT+StFA09dh256uz7zqQZLzvS3QbJqa2ZQLPAYUc3EelETGCfPRROjcxNbLlXGOBjxedLp1XOOhnJRSqH3O3HmEdrp9N9ICHFRgYJWLsb+4xxdR4viCo9Xtgwi6j3lVoHIoR765NjyCIvLa9eA8GrGwp3agBV2p9Vr9i3H/PC27MiGfeRyldiiGCadRnLsCP3d45SXZX1nBZb5nviFuH+cbXCUDdyF5l+dnFanuXmx9eV/juXjeE4z52F1ETFGA9jjD85xrgWY/y65rHfHmP8hubv/3OM8afEGH9GjPEXxhgN41rHuV9KzlIlYdRX9IznW8XpgFJA+G65nrRjkpvLjW9BX/KWY1hNOqIWUjCUwF1KpPclo4JGPOlJ6lxQP6bxUph82WOSr7dTmNjUTvLM7VtGBQ1761NL4twEhCcr+q5yMukYgBW5gjirdfcbrZ2209lkYpphXnsZIwnLuGOIKAyf2gJzc3t5Yq1PduelRtZ83Lhub3N7OTWnRqoifsPGHuttbb9578EOnsXVogRClkyapGkscUcTeAu+joeIkRKzRJ5mYVahh+jTrAYh86Q5525wsUDCcvict5oGW2mItce6FMX2iJTj3J2xhOM8eEoFuoy1jPVlk7t7motqWA6APClB49QaocK2yLM4C+bSENkUIef8tyhaBgOHV+2JeyMoc/2AGN2U2KTPRMKYQPHdX6v4Wxdt6+M0i6W5daz1ekpRrpZxRpOGCTc8NOJFFHRze3kSyUN0KROlQvpompAp6/EaWjVY69PrKl3vtE7sH7+v2BxFRwK1ax5HfPXrOZ2Q3yv6b/69aFoTfnKfRB+z++jhk4tE59KGrf+H1jjltlezPixjrbfmplfndZaILXxmQKzrlgm1WC0pgM4O0NFb/d5oCUGZTaTiBpq+CeT9pJznjosox+mhVLDMdwdFpl/Q2v2Of4tIa1LUl/LUioKxpTfWYdFEuDBhRH2JvgOZm2RYj/Gkk7+oa4TMrKTJwE7jnEeTGU51KjnG4TjvrW91mre2ejxpC++MfTpATyKMU2RanyUyFVcQCNrgYQh9E5VcJEyDaAtHRBFN1KxeTvqStaJW1FCUmxPj+kR6YNZ0gd0QX0o63nG/fX5SY+lme5iQYlKKc89RXhxvvrZT9FL9pPQ+9AFrar1SzVfDxYuPSYjpY5OdjC7gfZDOh7Gu24jUzEtNupm+oaSxRKol0mprn0pjy33+8XktRqAaE5nWZ0bzeYx2CfPeXNIRJytTQjfv5uOSdd8kMVVzI8eKfusIopUazsY7jvNUcRHlOBXoGiF+DL/5Cyn3xcFRpdzEVf/fmkRQrUaiNGmDOYMSHbk7x1Z6jQZiChEe3Om/zVQjszcW7RPSv1gQoW6mY8hBAhbRC6RwcRoXIjG8PqSHYfvWuDC5YbfAHLV3cmsnZJi0jM6OWxMY7i+Ttnc4nexxDyzeJu5A8/XGomvvfKPl3sh9tXTqaut4Nr8hjLRFvZ7c8bWL7Vh1exBz/Nt8f1jvIxFT/LF4z0WLeZ3zwpNcHgseR83jQ8S64VQSMSKLjfLpFGRLeJSOXW39Exwecb3gs2OehtlAp+RZ6GtfG0kwKbJspOu+frtsGtTg80v3syuhP/f096GLKecpEmK8e7vUGjZehHj62fsehXPX6EjBfZCrObLuPvOXnL4TrgVJTqC0vvQOr1J6lH5t+oJHetOMOfp75xuddWK8bBWusfafDTDS2BYEoiB6IjE6O25NgpHCheOPaAi+xBEt2jvfkIMPxxL3pw5oJ++vW/uLdY3OjiV8mlwLPClPY2iMLDhywsdPT3JqUkBBKZWnFt5nvc34cvp/+DQVH51zt7PSSkdiwxM+JjxWFhw4f+l6BWwjn3m/45zgtZ1xNL2s9PUn0p5g4vzmmvbmrmmRybHjpsp8XACuKVx3i7qRgJsBGJ9Zk9ds+y5ggcqUItm1KXqzktu2/kzrG4depspAonFR1Nf/IoDY4BsH1jXO56Pvc7l0HLAPOYMajqTze54/c/m9hjHxceE63IdgjMKfgY7TR/icfD7GaNzJ9UiU43TI3Q21olC4s6l7d+Qm0foLpGW33Hxps1mBlXbSuqM/lCYyZQkDLQBqJkyYpBetf2e8Q6/TqnDs9ta30t1fiB7cBdXHn2uA0FuI4f0FBx+OW2mSo7XTVnoOol7s+IfjyTU1PA68TqeaWXdnc3d+c1bzFkjbG62dJqMGa73x5USUliazSdAgEnJ03bqG4v60d1mydd9ZadVIpTvhxnUbX+YnNagtwR3uuL/Sqt3iceVqXVYvX7WijIikoT6K66VSRLXy/YVrtPPemDMqla1foZTEeXoQzcO8UbB5hFPtOkvXgqYjoPrOf3MjahEpewynAZfWW5MtwDcJME42BRJp9/+zwDWoP6c4+oXPXK5F5M9qzUONoDrOrHgkynlQPIRIlEg3Hx3k7ujpgvY+8WTd9eM74BwRwjZZMLSiBjNEpTjK01ej0HccdAQrjU3V0bAVei1sWpA7loCP6cn76ySguD+QvqM7XgoS3l11bOWxX6OzqaDSURi+Q2sJFH18rTu+uTuzVjSKtzMkvY/3EftUg7aF11EltkkXkXb0D6LIujYzZh0413rftIjDOdB36vX1oY9XKyJV837Jva9Uk17dfwrjmTvFVfWMst47e+vzRy2ZkkC3br6UIlH6+b5I/qxYETK9/Zpxm+fLqI+8iwhgsu5vrgEdMbewshdqx5n77rK+n3Bth3dXRaOh12+XOyl9WN8i0h7nwSNRzhA8EuU4Ayl1g7e+sHOiq7R+bT7B/XdgSGDVW80z8eAIi57ga7h+QO8776uOwOytb00Lr2lSMmuqHwRL34SAa3isySDfncUPp/VhcsBNdDFuNO/l44A7tLUTFRZQNfti7YN2/9P1C/o1J++vZe98I73OjF6QlTwzWjtN42wJd4qEpOvg8ErGS6FbSE4CGiBKZvVyGp119xvXPtedcL0Q3jNcG6Xfj3F/ZbKeAVGm7HJqHTBtQaSrul6xkhRVMdY1SzRq1toU/rzgmqPS51HuM3NIyh+jt1+zbF/kps/CnJsy35aA0u9dNLTWtYJA1+PxDQQre2FI3aU+Vzg++mYBPlO4dkoLKv5c0o18Hecp4CLKcTIg3UGkm5ZlpbrxJIM7wNekZujJAYSJ/iLE/zA5EJFBd7vHR9fp7rW2q9X7mdu/3MQIqVGjtdN2LU5pIsn1JdgntTwEi4hkv6QZ/I8JrZ5waNhZEeYUqWAc0ZjGjEKnquQmcn0TPF3InXs+l8KHO9Vwk0OK3ejs2LzLyqKx4+iY670lk+NbstVP0ZcmagMh1FmOXs+uhi2a8166gcHiEudLZCq0+P0jItNaJRF7mwtARy/xu+ROOGS92J80mWfuoW9UbZqcSL375xCsdeqbOvr/HNmm0nDbaz4/4A55WxGoXF0h38RgeB/ZaIRvsvDn5pDt47X4rNemFDnnTR0p0ynveP4h1EQ5zqLwdD7nQfFQ0vlq0CkQWmjVYqXtaUODnGHBLNEdTpsaEkGz6qhYXPHdXGwD6XB9VsGjtdNkHgDjAJFpulJfqqS2Fee/+VxYtsHWPoFS2gkXVGtnuNL6MTZeTw18vjo1aI0hCe4Yc+ohg7EkEwRKzUtRjdqJOdLdCr20aknXizIFEbHTgPi8crofRxs7UZpbEhyb28utcen3U7r2hxwnSuXja6q1LjLwEJl/cjokQlWK8vQ9Zq2HKYmsUmpxKTXZoiWglDjlCPVtYX028TUb3l21hH9KEW1ovWeb/3Mpl0P2Q7+3Ot85S6F1k6yUTsmvA/edyifi6XzOMDydz3FuAY7mcNRpkZMZfCFioliTxtIHCy8ef98dYt6uFY3htBdEpDA5TncuVV8sfBnrtJWOOYFMj7ceqxXV0UYf+vFcKgyTS9vUy3BkRL8O49Xj4fXlrpnc47gzjh+YOeDxlJp4NO1vhN9IhWMgXsO7ylQ3LQZqUuR6+qHxMcpNsnLXJx6HaEypmENS9+ZE17l1xqvqqLLQcdJC2YxuqffIXWF9XuQiVEPFTc22+5rHarMQXh7Pp+uDbiSwYc1tTPY5BVffHMoJKLQB4BtRLGK4RQDeRzr9Gevqq6sSmfZ9skx3cA1y5oS+TvtSTGvG4DiPBY9EOQ+KxxSJWhQ6BWNoZIi/xFDs22ceUDrOuWgN/w+sQnFrWYxTmzxwRCwXccpNZnJ3zrWxgF62dOcUET+r51eNONbHrq93WK72aZZIVW6/tEmJiKSID4wikv37bd2hRcQxc11yJErXnWh77dwxE5F+04wmwlNtzFJp2sJtCThq3Hp/cvPmkmGFWlbXfFlOmIuw2659j5Ser3m8tAzoS5dmgxOOuLYi4ipS2orkqPS927QrL0XjsD2dagoRhRscHKXiz1B+r+jPLet1fcJQX7eWeYQ+F/p9qcdpcRvHeggeiXKG4JEox3lElCYv5t3f5o4qvrTm/XLCnUyQq0Hgx/WdXoyNl+G7pXpiaKUW4i52SUTo6B/XwqCuzIoelSKGSM/jO8aWGLNA6ox1pz63PR47j5+jjzVoccu1dauXr1Ld1MGHYwnvpiYZmzdRRmuni68ZgihoJrOlO9SplurwKjUKzu2bPgcHH46TlXsvjTmINrrIRsoGRLKKUeKaSF0GHDc+X/wbph441zXw9c3vkXkjRn3RwqHgmHLdj/U5g2U7ArMkoKjuadF25SX0Z4++1jdvYktAiUz70olMI3G6aa5lqIPt1AooEVvkovaUP68xFq7HOvhw3DHwsbiP6Knj3AYuohznnjHTf4znRbp3dC9efEypbxAcb3a3OvbUs6CdlHRuPD+HYuPSHWer2Hv18pWZ3oHJPouXnAMdnkfqHJ7XqWvsXKXXY0V+9Be9FmbWOHj7EIbWtni/OHLIKXh4nk0jtFDQaZWWUMGx1IYSeIyFeBWNyUbfMoAn+7WMj65TShHGKtK+LvDDhfg1Y+Lziv1IxfIzuulZIk/XCSZ4Es+/jbFiWTghYmKq62NEJCukhtQ69X0WLQJ9c8WKZltYLnotC3h9rFGfaRwr3ax7XqyUYo7gYJ/58wNpc61a0mY8nK6XPh+bptMHH45TrzNeB0fz8Zo3u1spPbEPiDOL8VIouuvh2mRTH3weuSOf85RxEeU494yeRPBkyXpepDvZ4ckElkfKHkTW5vbypHnpAIGla5D4C7EmLUffnddf5vzlW0rn4fHov61UQDyu00bwP4+LX8sCiF/LdU9c36RdAnmyr/cpVwfBAkpEUjSm43RHIgATlLi/ktYBG3YcUz5XOBZ6sl9skqyh2pFeQxNtbU6OZ5qcIBsfdSdf5nUxxLK8qdfTDXrxs3e+MZOQyqVslVKaRKSbwsditmccrTrD5vUcsbGEPk/g+Yf3waIvbXcW9OtxXnhcpv04XUet4801eiXoOp5XQHG0GuC9r9M6sY/JUZOj95RSiIgOxBD2X5s5AE7rY+MZfDbURtggzhCV48yGzZuYbmpwfaX1eYz30sn76xRNw/4yXhvlPAVcRDnOPVMjlvqWtSaX+JLClxm+3KwvVcsqHOj0E2vbuRQ2a2xaJOIxnvTnDBWAdbc3N+5cxMkaF/+2JgjWNiFQePKE1+BxjoK11lkpAHgiyX2rrAjS+Oi6MwbeJgtF7fClYct52L9Xg/FSE+lOLcp2t3g9fJKO4GJBal6n2l0N47ZEG/pUNWjRX23Pb8CiJO0XC8icmCxFq+g46vUP6Uk1JCKl9wm/iymLletqiSOmuZZbRhA9grIzporzhaijZfLCwrPveOmIM8N1iCIqypN73zbRntXLV0kAcX2XvqGDfeZ9OfhwnDWgqIG3wemBMNpgYVSKeFoR+6FjcZzHgBtLOA+K52gsISKdwn9NX9SHLZZzlO5IlsSIXkZPDnj9fXcXS2kdJZMFzvnvK6TW8KTTEkN9xg563fyaUvoiL8tjaImWyjS0ZMpQaXSg30d6XzvOXblGo419N4515856X0RKjXdze2pfz/UoqdB7p10Loms9cIz5GhgfXbfW27LU5+2TgYaOEopI2r/W5H5ACiJHeDFOS3AMWn9GBFpoi/ccNTdr9LJ6X/qi0bl1aeHEttw66sppeGZKnhjpfCIdMwnrxpP+3Mh9btVEqnAt6c8nNllooc85GWBoW3NgvSd43Pif38tDre/5M4J/17wOWMJUf0Yy+pjdFW4s4QzBjSUc5xGQm3TxxFHfecWXE08CdM2IFZHJFSCXsASHvjONqFTN5EMbKuQEIO6K6nH2Td6sNEm9fWsyjTqD3F3p3LHjiYI+5q1JROZOtMXe+tbUBr75uxVlyURbkHoT91fk9dvltE+oq8L+9Yle1CaJTB3ERmun6Tz3Ytxt5+f0Oqy71Ri/TrFkVi9fta3BjdSuUjqUyDSiCFAjNUt9YU50tMhFWSyXPvo9Xgrm+ixxlYsa1QqfkrjSEaocHH0qYu13wyxpp1aKs3Xd9t3AYvTnAQSA/nxKwoDf6/o9z/vbiMYkghqjIN3Ylmud9OdQ673cRK5mEScc1apdvrQtHUEF3CC79PnqOA8ZF1GO84DICSnrC0oLqdIdvUV+MWF7PLHRqWxYTqf6oZZHpP2lzxMbFlel/Sil8WH7fRNZnpjzRIAfs9bN60SdgK5/wj7wOoc2R+ZUQJ6Mop9Npy5GptEebAt/87ZhVoE6oFaanprUt9IHRdLvoTUNycShqc3Tk0juecRpRCLSKpwHED2b2xORlYwhDOMGNG2GsOXJNKIcfG1iv0Um50CnMVppjTWpbkjB6zgC5gQx7w/9zqVg9kWU9LK5FFxrnfzbep1VY5VN3eP9Yeg4lIQT23xbz2lBiRs7OQFufe7mjgsbzOjrMe6vSHwppsNkFkpj5FpC/kxkkxUR+1pLy1Oj5lpQh8XodDzevmXyw39zeri+MVI6r3p9Lqich46LKMd5AJQKtYdGXAB/CfEd0nm+mFhY6NQhzoPXy+K3lXJk2anrWh7efmk/eXKjBZR1x5PvKPPEvSRaLcHFE0J9LjHpGq2ddh3ZUG+UiXZApGHigYkWTCfGR5PGumaKEP1tTfo5qlMbmYCwGK2dDhaEaR3NpJonemgYCrEEcuYXiE5xLZ1ZY2OkB0KYYt0YC7/echTUpix8TPX547o/vh44tYkjDVWTXhJZGG+utQD/rWv9LGrqnIakAYK+CFLN2ESkE1HEOePjxv/zDZyaNGZ980e/Tt+84f1GxBcW/aDWfKXzPzmt1sCfn3xjpSTi8HkHsdMXcbSW4Rse/DmqG8Prc4vx5VKvtUB1MeU8ZD5z3wNwHMduiMrP5egUsTfkvqB44qwnBrk0NeuO68F7+04rxmP1LZlEC7r7kFLqLpsJjJSjP7oWykrxe7O7JRfStVHmL3R9PHg8er04P3iOm8Jyfj3WifFp97C99S0Z7UyjCJs3UcYiXRe+RgBc3HxMrx2LjZ6s8cQVd4FPPhzL3u7WtK5KREZyKhdvl0Uu1Qpr6oAG2KGnceF1TW3SyYd2Y+ODD8eT8TTHcJI+eJqOm8i0GSjGPFo7FZ6m43iKNA1wzzdEpC14WQxfNNcwHM5SrRe5po1p3SITwbR6iW00PYxuylEM1Fvx89bkMmfTrdFpkeMm+sC1WJaYKomWUtQ29zlTWrZI3/Wjm+XSdYRG0XoM/H7VnyEWOpUX69CvzUW/L158nLz3Z7yZUMKKiuXq7KxaJoB90XWZfBNBmuOphYveNm+rBF8PpWsB6zl5fy3y9qP5fcLfi1YNrOPcN24s4TwonquxBKhJV9PCBODLKyd+dBEyF/3mDBb0ZIy/rLXJgEZPHHmcuthYbwPj5bHV5uj3pdHo/c+ZU+hjZ91Z3luf9njiQm69bl1g3WkMa9Q1YVKfu6PN2+6sh9KCdKQFxesQWDzewaYHpWV4Eoz1qchQfNl+z3NEkfdbG1LwOvi6RVNSpO8xVsH8axJRMLl4o8QmgGjW4xTpXtMavRywJpxmU1hdS8PHlbDERWe9tKyOvrGRg56410YrQcn1EZjCtQKOOA2t+6mpBy193uQ+CxYNIp36M0Rkut/6xlvu8yz3Ga0/G/g9kBNtjDaMKIk9vU2drsivx37nDGDmxY0lnCG4sYTjPBL6inR5mSFwOoaVHsGTBq7BQVqLjuCIlFN5+ItO10/omgn+ItYpdyLTFCw93tK29RetruvAfnLajG7syikq5qRpZ6UlYjB+1BcgFS/ur6Ti805aX0N4d9X5wXhztuLWJKVTf9DUMuF3iqY0goCPd6qPQorZEDtz49gwqAEqpa1hwtQRczoF8vCqlY7EkSVsh98f2lxDRDpRIUwkubEpxor6M7xOT2atmwIikvoBdfZHYUWkehv/WgIWdTXSvs47KX/Kep6Xy42rJqW4lL5lnXdEztK2e0Q7pz6Wapxy4JrhMdZEoZm4v3InAkqk2ydN12taWOep2MKAPg9wjZcEJKeo6usdf+cEFKex5p6z0qA1pXYcjnPXuIhynEeKzs1nEWIV/GJ5LIc+JJyChwaumKToAn+RdsQL67TSCd/sTl31+A6p9UXPX5Y5Y4ihWLVWZq1Spgj84sXH1K+lE5Ug1zzQqltq9gPiJe6vTCdgFc58lnBMNDVOJ++vU51Oy6ihsO7x0cROXN/RZlhwdgwgeAyFiT5HivS6W86AzetxnY2XQtvEgl7HLoVs5IHx4hzqKBUmbaidOvhwnM6RvibRDBUTdfRX0xNvS4x3bi6wYYB0o1X6vavfF7nja5mJ8P94T7feP4Y5ReknJ/r0NWmJJj3WrLFEZl91nRj/Xev8CXCdcQ1dqVbKSmfD/6VWALfB5nbX7EGPWx9XvXzcX+m8F3PXH39G6u8MfaMLP9bnf05A4dhzurNeJreeQe6MjnOHeDqf86B47ul8s6BTi0S6aRGplqShdHccqTx6QsEpUPwlWJMek6v3su5cWnclWbj13S22tqvXkXqxqJQpTskrpXxAxKTUL0X4VEj7QQ8cfo4EEBrQ6snI+Oi6FSHJ1aLU3CnX6W66ngKiN5e2pvuS4W43Js3aPU0/zuPHNYBUPA035B2dHUv41KTjUDSG0xZF+vvPcLolvzf4fRHeXXVSXnUKq06r4mOE6AoielZ6nE79tNKz+DgijU/fze9Empq6s9Y1UdljjI87jwXjsd6fvH/6b2v8It1rwhL0Q97r+jXWZN763OpbdzJ2uUMBBay0VGDd+NEpcvo9Z6VYl+rfhtzEsq6TvlRAy7zDeo3eD+v1Q/B0PmcIpXQ+F1HOg8JF1GzoiaCI/SWo8+utyRewamaArr+qgb8kS1+wuef0BChX86L/1+lXIkZNEoOmlz0iKk38RZIo0nVR1nZazWAL69bRCev/mRrgNvso0j3HDCIyVkqRSLf5MF9PXFPD5OpscgKKxyoiSehiW2hCzPUj2jq/dF2wAEqimCJR+trR4lKkm97K+5fEi7Trf7A8H7tcylzrfZoRUSLdlDgcp9XLV+XrPUeznaGT4xJ8PESkJXrnwTpPmlx9IijdHLgPAQX484Cb6lqiAuBGkXWdaLFufb5bosXalvX+tsjd4OvDdMxU455FSLmIcobgNVGO88SxmtFaoofrAkSUlTOng1Evmlz+eSl1kLclMu1DUvOlq+tNrGVKaTd6fHqb2Qml0aQzB1KmuJaA029K6Xgn76/z22jGgAmTlYbIoNZt0KSWIhKjtVMZnR2ntMXR2XGq5eH95P3ia6gzgaHJJqfviNjmC0grHeIImM7f4VX6O6UBip2uJGJHTOFQtno5rY3jc8Ope/rccgqUnlS29pPeT/qa5no0nSplntNSnVSGwdcGaNL6rM8R/jtntW6m8SkBlUvtGkpfemquRjK3b63r8h4FlMhEeHJdU04c8XXDaawaro/F/wDXZp+A4pRrflyPo5PialA6/32fxbNGohxnUbiIcpwnQs0XCoQMJhbpy82qpzm8ShNlqxaC/9biTP/Nk1SN9QWr61BEpukr1npwRxLLx/1ps07+XZpQQgyNj2xXQYYjLejXBPB/LiJkFaej9gg9cFYvX6V0wNHZtIZn1ju6euwi0p4gWn/TtWCJUYyxdWdfTfKt6ABPwGrSpPbON8xlWr2ZqAEwBKhOs2PjlFwNHEQT96vSgp2FEH4w6e7UdBhRlyGmAFh2cE8poiRkTAwhZY2VUxbZrCKJJ0OA8D7Mk46V4+LFx1aUhWuIrOgh6Dhx3lP6XonxUkhpyH11Ztbngr6+cA7xucnrs5bN3dCylrXGwu8VJpdeWDI+wXeOyGIbyTvOUFxEOc4ToxTd4S+conkBURIUVqQkt1441Fmvz623FE3gtKzR2mmrKS0mQLqmpCNsyPmN7/Zyal4JCIe99a1pmkzfJNWYnMFMAePVwgwOezyRwPHE79wkp0XTyLMKShuzIkhWahpP8jHR05MojP3gw3HVRHW0dto5F9iefnyoc9rBh+NJSqByMOtrWMr7zkYVIu2omHY5ZAHHTpzWnX2L4iQ2lx4K04bcddn3OF2XoJMKDLQAV+uGsKl11oMxBBwWcbOmNHFm8ZRbFtcPLycibfOX+0SfEzqmJXc7YJ2bXFSbU8ERhc6ZFvHrcf5KN9issVmfU52bDwPwaJRzn3izXcd5YmiDACbl1b/NTIL0l3fmrncuJ14vw/n2ED25O5W5feGaldXd7jKT108nrpzv3ntHmSYmegJ+8OFYRlbu/M5KOi4HH47lQEREpmllM0/AmvVu3kQZq2hADo6W1Na9VC2XmVhbd5JZYLWeJ5MMq35tSBrfxfZHkbPuUwcfjkVU7dn46FqEXMn42kvvC/mYDFImaZmvZFUmzUl1rYVlysL7BNe2ze1lOflwLKP9rnDYWxdZvZTJ9XspnW2kfZG8cMtFHrOChl4X1FhFpG3w0HO9jZeCbHKtF65zyyGQ1q8jTlYTXBY5ukZsIm5Daigsa6cS3l0lxz2RrmMfN5gtOfAx6foxrrE7p3QThhor68hMCRxL05Dk8EpEjqf73mxfn4uDD5NGxHzsL2R6nvbEjvJaN8RywouvcauPGe+P4zwE3FjCeVC4scTi4C9AjsjoLydGf1FZdxV1AbaelFhOZfy/yGwF6lxTwxNinhwsNA0n52bWGE9Y7l56kpqOdUXjWj72VkRFCxK9/T4jjNx6S8uLlNMGcT1xhCkJJOlanVvRwiIZ2/bwqZvG0xKHyjiDwfULEcVNnQFf12hMrN358BrsE2+LDUdEutcujoU+n9qtr+RYJmK8n+na4+bADFLCrJS6jo03NfbVjou59waTGwP2H/CkuKZJL2PZ6efMRKzlZjLduE1KrQqs/mtE6TObYRMVS1TjdSJtg5mWYCeTl9K25iXn8Fl6z/bhxhLOENxYwnGeIfoLpVUjZDTqhCMZp8Nw+g1HG3LbwPM6UmXdhawpOmb0JBS5/FxHNBid5lQTAWqavSINiyfzuZ4sOXQfppP3+VqqXE1XX3oTXjskjS+HtQ4ufOdUzs2bKHF/pZWClauVKbF3vtE5T6/fLsvo7DhdAwcfpg59m9vLqY6KJ+ScMoc6PZ7I8zj5vHJTWAaPnby/NsWaPl74m2ureLtc54HHc2l+XHfUeT83godTeJEWh+O5d75hptSlY21QqnXCdsHmTZTw7iorXCAguXeXiBKLFRFkkXzzVURMdD0fjkfcX3l4Akqke3yt1D7pN13Ivd9x3af3RtN3DuA8azGLvoLh3VW63vUyQ1L5aj+PWDSxkC/VtTnOXeGRKOdB4ZGoxWJZ14pIt2bh8Grhx77vLjqozYfnu/mMjkqlNCM9CVP9aRLWnfcSO5S+ZThL1dzl5Foe3qdWqlRm22y/zevIia/N7YlBRfhkRBr0fuE1lRHJdHf66LoTvRJpT7KslMkaMG6rtxYewz6ir47u0YXjrdOG9HEUyU/GtJU81jNaO22JKH0+eVnehrbatsaG7Vr9fbIRIbpGeNz8PtGpg3wdm9dI3/uiiXzx/gFsg1MAcbOhYyVuYNq5c98roy2D9TnS2seHHIlQKZEi0jXo2C4b34h0+wNyiqSuA+T/9TE8eX89ff81IkqkHdEswe8Z/R6wWnOUXi/SjkzNGo160OffeXB4JMpxninsNma6dN1iATU7AWpydyP1nftcBEvfWebifGBNNPbON9IdTdPprPZ4KIOG1p1+CKTGcMIaB49V7zMbAaTXNn/r/kX4yYmTvfWttphQERMdvbGOSW4CJDK9Oy0yjXbxxIYjc6W6nRKtyI3lHLczdTvMTaAQccD4tDFE7Rh4HVgPoj65yCq/9zg6xNEXPR5Ey6z1gXSeEKXDNdNMLq2IF7aHKA32o1OHVWul3lyXSNvT70MYNWizBrxfsO+1zoPmsSAzCxgj6M87fl3cr9y3uyITaSotxyYzlsU8nPwgHFmU4//Nmyh75xud6Dmfv/FSkNdvl1PkUmRy/CCq+LWlyJJ+33HUVV//Gv0cXyM62uo4d41HopwHhUeibodsRIqwagvmga2GRfJ35fFc7ku4JpKVanF0XYwxIbFETV/0R0Rad4dxrHTEQ2QiXEZnx626HZ02xI1QQc4QRN/J1XUz1hhA+DS965oiUf//9t4+trbwy+taO/PLHRPTKjhkwJkCpQy9TECQ3Dua6K1aahj6Bx10MBDDPVHI/GGuZnIzBhISNRISSEx9K5pMBjLn/iMSFO4vUoN0qmkNYm4nQQG5lblTSWcEZngJLYheR7Z/nP19zvdZe61nP/uc05fbuz5J0/ac/fLst3PWetZa34XzYDTE1bPW/DfPHOsCctQEeQISaaZ7Aaedm43qSJQ+FtRvpEa8ap9WBLA0k60NMx0tsmr8autCeEYd6OiTNQa+/rwtvR2rJlLvn6MOOBfpHqmIyJZqnnqz/U6TYIbH6jV8rXpWO7iZ771Kl3fnRot+WPWo5rPhObGWmAdeN9bj/WE//Fr2OeaJhejlqGFyKWLt1rB2zbF1HaF3j+q6Qv0670+kblIkIlHBGCISFQRfOVoVD19AmP1dtQMl4iv4lYzMRYqSrzY+zOsbSjVN3XtaKnw0xzfFKAGMBNTt9I6Jxqjrw7zoHUd4dBpYL0JDJMn1/fU0o8x9eoYihZZDMb08zRp2oiaIDSXMDLPox+TTCzsyV5LYJqWwnqNIEQg+BlxbT4VNXw+tDsd4NX/Wa57Dgmt39qxJjpFnBJbuK8zY8+QEfnA9dfQWjiVHK/je55QujBv3SLFeUGafHdb5YfW2FEHtoqh63BZ43XW4hmql6AfH+lAOlMj8MxZRcNQU4bW0TFcfyedqVF8w4zni/WEyA/fgzuc2Xat0T5BzxPtG5PDsWZPG50Ws9f5ZiRKfjSLSq1kcgrdfajYcEangPgknKgi+EjxHqtQxftn9gRrnaEztVO//Sqls6+8kDFCa/RXp9ZRK6lb0OiId3Gw39QxSxiTAcVtNJ2GUW+panA7G4gvJUdlf78328ratfYnYjhPAsUDUAek+cGR5nFcbH5IhO926kKuND71i9nQ+VHE7yJz7QooZnCM2SkXElevmMbLhZcmLezPbVnqj9z7GBOdTz+BDah39zkRy9UVP2EJHxngbtYX2VkQ0Gzs7U5Q2yJ8bWjyEjW2Mj+8xHrt1PVYG+qvdU++nnb21mXPQNcjGDzvXHEXE8WrHMYmGdBM+Wepmd1xWU2w4ZnByWITHihqyWAgER+BoWWmprMTJlD6b27fr2X2dTWINXJOeImSBMZGoIFgVkc4XPCoine9+4C/yu3Ki9H5KkY9StErXRVl1UilKoYvNPRUxKFzt5Y0mB7/U9/qpc0jbywQN9nMhBIhQWI7SmHQ6xppxtQziobRKT0HNulZ8jpqP5XTGXoF89/dkezcTY9BpjBwxyFIia9IBlehH+3x+7gEkyy1BCC3db6XE6aiTdV/rGhQtx88pVrwfTqlig9UaA+8LWKliVgpUSo+kcVjnwHJ0RCQTrvBSHkssGwl+dJQ+byrXZQlvS0BFREnas4COSq3Uz6++7zBWpNVBrtyMPCtxmBJJOl0//9Yx02ew9dnIeKmd3hiGiHS+YAyldL5wooJHRThR98uY3hqLoA14j6GUvyHHSyu0FaWLlUEP3HXUF75OC8I2rJ4rvB/L4K5xMC1VNUYb+qVzpesKtPGsa3F0/U127F1tmNkby1JPU+ecnXgUqrNxz4Z6UVVQwcYg14Ohngv1al4/M1Y14/OWjElPuU4dr5Uiy9vVTog+x1wLxrVSum9OJjddoeLmOWBeZE1ffx3BHnLS9bNtSbKPVsgcs9wdM7YH22iUE8U1VFxbxM8+9y9Lz6get3LM+PqZqY+kwKjvBz2hMHgu1LXTn481WBNOQE9iaMKJCsYQNVFBEJjcR+rDkANlLTs2pYcjRNV59l1aHlLNUs+mQtpYFvEippen/agLOV5c8ySSOzX4sveMWyvixLVHml5KHY+TlctYzezkNksjs5zrLA2tM+xevVnrpUlmKaNI6VIF60gFxP7YiOMan2VUt14f7KY0QRzb1cYHkf31uWoc9c9C2pe1P9eB4tccg14r+7H6nqX6h/RGbVCmOrRuP0hRQ7qfNVNfTIGlfVr7Au/en2Z1NCL5bL81IeDVPHk96or/P1YoBfXOHCgFlCD5HhGZtzi42vgg08u5A4UUUi+Kc3ZyK83hTUoPxmdBlciFzO8HdmSqzoW6xtOti6o0Qf269z1xl9kVQcCEExUEwZ1R+2VW+gL1Zidd56zWCCNHhwvue/VRhmJVqYaKIxA6lWxItlo3V+WaBl6/pOSH17RoRVaHwIY/G+XdtrF9OFNJEIEMJFM2v9tf1rxTpSZBmIIdLut8wMGbbl3MzqkldOBcA0RPLOMxOXUiqSFsqm3rtsdpjmlstdGRAhzZ42uk5cH1uLGO5czhPsiuhXFuvHvOShEUmTexxfZrnmWvpilr1LsqHtLZ4ujQHTtQXiNnFp/YvH6ZSf0z3IaAQXsA3Yw5g2rh2GES6TfOXaqezbmWvfq8Dr0v/XeISwT3RThRQRA8GjyDTr8P+Is8RZKGOCaD3Fge9QNZZMoQpcAyiG4AnSbmRYsQQSg1e9URJz7+kuABn7/sXA5IQyMipZUFeYw9cQwWHVD71LVqmfO5v545ib1eX1Q4/+pNf5/sDPHrMLA8FcbsfqF9oSAf1+b1we5cwMORyud0UIwJxflAXye+hpzSB6fFigxNL09dcYS0nE7lo/qnIbTDzWNjLMEBL4W0x104PTXP+yrWIXD/nz1r7syBgjgMR7EteteNP9OgTqjEJ/AewESFSKfMSJ97pf5d2pE5P7pdyfnYvH6ZIsSlOiksq8c0JiUwCJYlnKggCO6MoS9BpmSclZwq/sL0Zm0zKoyopDAGeeLt3cz417OxbGRwHxUYJ1b6iXaM4FDxOeOIBc4HK6EBPROMuoazZ838PFq1PIYjycbh2cltUteabl1kQhws0QyQVqnrw5B+hPFZ0to9cQk1JuwTzV3Ta8row/gn27tpDNqx1BFCOHRWXZDXnBWqg2mbVLhvyb3z9YKRaN0D/BtjH0u1LDbBx8/O/dXGvDmvdvh76o2qqfCdMsYZomXTBMkC+0MN0l3KpWNspdRLa5KEI1PYjvU3jkU7V5xWzCp9TOm6jvmsT2Pg3x26tq/kpPNnxbLPTBAsQjhRQRCsHG001symjn2PGV1L5cida3pf0CoqhehJb9aeFLOwvjaCdFQJxwC5a64bwlisFBZOPcPrPAPtKaH1DO1SPRg5I/z7auNDdj7STHRX9D7Z3s0crbOT2578OKcuQiLbgs8dJJsh445jTc5ilzaYhEBkfo69FCHej8g8OuRFoawZfu6rA0cEEUe+dpwaVYr+1M6qlyJu+m9vOa2kye97qX6WU8zPjBclu2/0JAck2Iug5kk56GZkZ1Xj3JvX7unrrusq9esilNpnbBPvp8kPFW3iukErAu0xqhZKQ583KV21++wo1XaW6EW0g+AOCScqCIKVwbPXpdn1MQzV/JSMBhNLCGDAkeJIiE7dg8PI/Zl0DYEnGqENWD4mryDcqgcwjR1K6/HqVGoiFjzDrRUMz49us/1gv4j0aCcTr8OxcvsZcR1apwLoHS+nXqK2SUfIppenvX41AMp/PBbuaYMxpP05zYJhnKO4H4X+GsuJBuyY4FirWNKo5/GU9q+ddcs5Y9U3r25upRRSc10wueCsg2gn18Pdaa+pfbtPmgb3/qITT3zvDTXMLW1HX9MxTXMZTsnV59cTJ6lhdFQsCBYknKggCFYCmq4u8wWmi5WBTmsrrS9S4UgBro+y3uMfoSaYpOqGMaXIkTK0LAdK/2YjRDtUwHOoBuG0GSN1T5McRaQvqabBcKQ2r19m0uPpnHcGp45GIj2ofdvVQnWF8FwPhMjWZHt33oS3myXHOc4ckGNqptr9D9XBNHblNCPd8NWbtZnUsbpeHLFCzVMWTaNrz9vl8aRlu3RI4F1bhre9qBMydh0dKbUcdb0snOTzo9s80nMfjpPIKIemGI01nv3N65dJtfPOo2iG048xWOPWkVQr7Q+/rRTpGnRkv5cOS9c7UyYdQyFKDrzxemMJgvsmnKggCFZCqX5p0RnFofVKRkKtI9X7Ei4ZBIaDBIMyOQxK4Y1n77WBzPD/pXPpKeLhvSxqZmE4Uxxt0imEo3GcUpwHGIzN4SxtB/LGVxsf5rVMHc3hTRbRSA6YqNlvoydVFmnQ0TLl7Mj+enYNdXQsi8B1suKjHHWZ11CV7mnLcV6ohmdFhr+OmCHdcrp1kTnJeAayfasJiDuhMpps1QNmNUTqfoWYyJ0r73WTBfq6pyhml6KaPQPPO6ERSps8P7rNRD84RVbXUdU4Ul4qoWZhZ5mfR/q80GItXjRqqDYraqKC+yKcqCAIFoblcXV6TykCM4baL0QztcgyPlX6Tyb97aGltbtoB4AxiXoDSGcDbZRjn3rW3qpv4nX0evqHj6PGGYJDw9sFnioX0L2xzp410nwsr6d7UaGIHf1p9PXiKA5Sf2AkZUp/3Tj0a5kDYkUbaVkrtdC8XztZ6M3rl9XOTYqIqTowC44KZWp4S6rKWfsBXjTD5XjeYwxpkpCtT6x4vKWxLLI/L91wZ68voHHXcF1RL/ILoQXtkFIUtn0+f7a00qXuTVc7ntIE1TKpdj0Kn7tja5vYUYyUvuA+CCcqCIKlsGYteQbb+jK21qlJcSqlqnjLVUufW2pRSjI4E5bofrMzpZ0gTekYMSNdNOCGZvY5GqOPhdfvtoHaCB6DqXCoZorNVMPOEUFtEAQVRGZOU/t8bhjieid55a6YnFPJWB2xOexEIzpnjbfN6NQi7C+THadUxZQySAIUrKq3ef0ylzHvyCKMtL1BuvPo1RMh6oBz8OrNmtvnh9cZw5Axrftj8faz6J+6l8y6mFKtkqPONoiXejsGpKCShDckxUX6vc5WjnG/uFGvymM7O7md1f49n00+sJoipwDW3C98D3gOVRJ3WQacB5pc4Am3ofovzaJ1t0GwKOFEBUGwMsZ+4WkHxBKkYHSUplS3wb+5zgf/s0rconn1cABwHHrMui6ohzKQ2IDWkafSNqrHT1E4KHklRbvjm5SShfqlLNrSpbyJzA0+vJfG2cm773xukxMChTosC6cgCVsotUPUHO18btMY4Eywk1frPGiFRVx7Tj/DOcB+Stds8ulFMlITXn2HkzbpjbPnBFZIafeek4Lj4j1TXvQCr/XOteecd2TOyX3VrCyQNmhNyiylNlcJnj0851qwZWm6KBUEVRBlhfKniC2ZzqnJ/Plq3QOvD3YXHzc5sfq5qXmuS8vcSz1eEHSEExUEwUJwPQRTU8xs1QbBoLDW4YhGaoA6sA8NO03pi7YzOAcNYK3op2ZQ4UjBabD66QyN0Uzx08a5ZbwKKe0Z/V94WTSUhRE33bpIhtDO3lpKyzTHfHzT65mkJc3TmCkVCQ5mdhyd46dTDrF9rINUMUsZ7d37U9tAV0Iak08v5g4URZxevZn9nSJrndCFHN+YxiEimrj3Uj8qzMY751yfr179i9F3CBGp1PwU19QRQcjGWWiOatXNeOhnDCmUOqKX0b3Wi2CUok1cF1MTlVpFjZWxH46g35UhrqNdd6r4B5zaLkRzcZ35c5VrqRARYkcKDtpS0PMGeDz4X8TvIWilNOOzzWoWHQSrJpyoIAhGU5qpt1Lzigbb8U3mOCASYSlE4QudHTgvNcpF10KNXE+km0GtmKlGtG30GMfUZ5VqfdRrPYNJK+sRnNLDDmgx1Yn2i8iRHN+YKnjJgOLUOpqh9ujV8mj58W4bzeFNVrQPpyc15NXOu3HOkxjG9rzmLfWOQhrbGGNSnR9vvzrNMlu3wtHwUgUXrfXRDhUcqSzC2zmsOsXLc6Q8ZTxr2UFqHTCKwuLe0ClkaWwrhhs84168U5zzAREK/C0y79HG9wc//9w8OjknnBYL53DJOrizk1tTGMKagMpEhCjqiXXvu64t+DoJJyoIgqVZpNC4diacZ0SHtjemELk61chQ9uo5YPt5Y13dOJbHX4wsaZzIU3GM3ViyxpoiKcVOZJ5m6KlhWbPTvIyFnlWefHqR0vv0WOGEwXlKs8jd6xiHvka6bgnRKBwDn9v27XpyyOGsQPY8bZedtv31uaT59rxZLu87k1NfgCTkoYQmrOvK12Fnby3rlcXndJmakTHPi073g8EKx2ny6UUvNVArMmpMR2pMrRQ5RbVkaawER89WHomiY6lJ0VwE9KnDM90czloFTLZ3pflYXpfvcyuSzqIr6InXHN5Ic3iTnLLzo9vZax8rlVGdc4AoF561oe8JvvacEj5YXxoEKyCcqCAIRuMZX94MuI4euMabkbIFp4SdqVK6X2lcuk6DxQvwfm8smOVmg1uNE+vxcaX6FlXj4hp82qjw5Jst44OMNBizfNyocUIKEaJjOvrHzWZZeZGBgTNEitBo9TT6rdXRcH5wjbNZbwKiC71Za0OpLUXEujQzCFiwGuDm9cu5k7I/TyHUs91432y4qyNivCytUyN2gnPCjuDQvc3rsiGpl9UOzlh0hGJoe8kRVPc9O8r8frZchSNV5UCpOkCRfkQzO1+rdHLIybMisqsCNU8cOcJ10U4SwxMS3n0j4jew1U4XaiGTM7VkdGpIWIXRE1UhNBHcNeFEBUFwJ1jGCv7P6m1UehoMDpbBziICnfqbjpLgy9+q+Sh9mcJInXx6kRt1e2tpBp3rQKwoFKeQWAYvp4xVGQQLzs7vfG57DpTIzECCQS4ivbolLAOwbqpHWgWFmqEUMYNsMzkRGo4WQKmPSdeN1ON0A1ytJJd6T12epigeo2vDsB8YiZiVx2ucZojapt52FJljBrGSbvzTy1Nb/W5gm3fJ2CiWTr0EniNVjBSrCJQZ3VEiKizm4AnSwAHNtrEkSyvYeXAd2f666WTjM1SnQVvLwknSn5ueYA9PsPD/HLFCdKp4DPQ7OV2cKqjuAx6fvj8syfoguEvCiQqCYCG82WcvtU9/OWeF6ujp06mmeT2WYEhyappmTD2W/oKGsYcvfq4bSl/43f9InxllJBnCDxzhKGEalCrKBSU7noUW6RtNqY5BbRPCEtqQzIQ4lsFwDuG8ZrVWcHzgdKric4xv8ulFOlYWNbD2tfO57UXH4Fy9erM2c9j213s1Tp4wCorXcf1hNHLU09sG7n1Oa+wZf6XIpEgW2Up0DgMbk6V+ZfeN5xQlwQKv9xkwnCIRcaM7+vnu1dOp13tqcY6YRzX763fi5CK9szm8yZx+PL88SeVF7UWk9zmh3x9KpdMTVjyB5KbT6Rq67d1Zb72Pkp4nHJO1f+98hvMUPATfeOgBBEHwtNCGu/dFnBV1X9IX8cF8O5g9TQ0j36zJmUiXitUZC+Kr/yG1BWlfVgoPxoIxcz3Q64Nd2dn4IGcnpyJb67lD9akrsn6Ti0ZMty6SgWw1kK1GGW/JmYAjZhh3s9S13IBJUZa38/U2uwa3JWbnxDDsKbUxG+vINKVk3Ka0wjojKKUoimSpSjCAPaEIL6Jmvc4NT1NkSUQm250j/2m+rJ6dx9+b1y9F6BwjIsVCKedHtyLP/bEBjGEqF8X0teQELGv83wHpWu135+RTfxkrsqAFXUBPSU89F0Npfp4xvvO5lbMF7mdvWwDXeik6x+P8qP8Z60WM9GtgqF7o1Zu13mer9Zlpvcf7xGdoShf+eJP27zn12A4+u0vwftkJRmpwaT9BsCzhRAVBsBScf2+9zrCaHkcUZkZi7oCxQdo+lzz1o+vt4xlCWhqXnSn9ujY0uM4m1XN0zlua/e+ckCtyzlLa1vGNTOVU5HK2zV4dlOUcDTFUE4XXu6jRzuc2OXOvD3bnDlO3bzhI+WzvPA0wqw1h41QJWIwxNCfbu3L1+YMdYSgZ/erYp/sXWfQHnB/dyuRgVzZFMuelx75yhvU+Btj53Mqm0P19PXP8rySP4E2VA4X10rF39494DhSdj/PDGzmXU5GDXTnrarzgYFx9/jBz8EVEjLqjc7k7A9J67i2FNwbPwqYMpyJajhCnCfecZYrElT4frPd4u5kjNXRvGJMa8+dqvo9XpWtdQ7d963N1LDoaJSLmZBQzFJXyIraAx3218UHkWnoTPeD86HbQefL2m6V4GtsOglUSTlQQBEtTKiof84UPB4bXm30Rn2bGDFTU2CkTsb/Ief+1dVLYZvqSPzpNBvos3atzkvbWkliDiMycp2XwnAnLYSnUGJ1120iiCirKo50YOI/nR7eyeUBGplWbpR2p0hgV7FD2oi+1su6S9xTj2eYsYuk4SDufWxFEB9Eva8R1wz306s2ayHXusE8vT3PHzBj35NPc6dbnANFLPd7sGTq+kTMSSThTzlqm+LdtH0PN7Lxn4C6D/jzg+9BqvOqlynrRRtxbQym2NSm/VREpmtjpRUGsz5clIlxzx2wuFgHxFdRilo5raMJpLHpCzNu2lcbN6HsCn0UivpiFiPosKQj28HdKEKyaqIkKguBe4SiQ9yUPA+Fq44PZh0enlHiiEqw2xfU+ngCF3oeuF9BfxEP9XiAFfH50Wy/DTGILZgRrZJoWi0lotAHE592KkLm9fQrNYPX6i/Tn0gqKuhkxXxcYZJZAhMhcmCSJZ/D9ZYyf1Qw17ED1xCe6bbFBf/asSWpjLGDS27eS7c7uu245c5/qGk+3LorKbB6161iR4yFjlZ9BHrO+L7znJYuSGsuzauCiZMqBSnnRIkuj2yjz0wAAfoZJREFU7PAawS6aZul9TukUUksYwnJexu7HEpnQn+UlUZ8sCkXb488cLW4zVM9qodU+eZ9BsGoiEhUEwZ1hqdTpL0Yvn9+d4dxfl/PDG5E35UiSh6XQVYJn7XspOYVZ5VlzTapduJ7V8RRrkYYMrIIjZUUxhraNGirgziyT0py5rYrUJygEyvGNbG53tTFWVEul2un0HK/PDu612fltupS+pifasPO5lbPjG7na6+7F/S49js+djhgc33TpnP2aus3rl52S3m02/lT/1KVObl6/lImQsdtt7/zoVhoRebU3jzTgHE1klvZ2LuQUkLPSDtXYdOmP7GBgXY+xqWJjlzedaEM0w5tgKTnhYyMOQwI4m9cvU0TpzNlGz5gvTCb06hpr2V+XqVxIc3gzF4247ke8Ss6S9XnHaXNcs+fVj1qf1YiE6WVr9q/hGle9fCnaZL0+pndYECxKRKKCILgzar44h1JBkpR0hzYIS38zQwIXlnOn6ztqZ3P1/tCDBel1NV/wQ3K9aRvOTH56z5mxZ+cEP71i/TFU9vRJinQ0y5+pHJJyV6Y0R5Llen+ZZD4vRyp/ltx5qn/xonVKRppV5GBAiuQS+CKOcp4B7jGepUeqKvdf8uSr9XkwWSB9bNGZe45Gec5MihAWxqUjya5aHzDOAdc21nw+DGJMHPTuT4bvVX3vjgTnDOcX9531OeJ9nllwuhz6swErDU/XmmIbVhrhkIOK/4fSscdQ+tyqrbEKgjGEExUEwZ3ifTEzpVQQqJjBMD07uU3RIf7yTY1ZB8bBhgCvb0WIOOVkLEilygwf6oM0JFk+RC8qhBnuUrod9amyDI6eEVMyBC2xi4JBDwlwRjuUMBZ7NS2lOiyZ3ydjohDcj6qHPmZ6bfP6ZRI24T5WcH6wDEc7cYx6Fh9pgj1DUjmI/BsOSrbtFSvxWc8p7uWhZ6H0flbnWBizdp74OlhprotEHUpORpZy2JGl9unIbDeO7PkrpQGOdKb4/tb1onch7e19RpacHS+bgH9769TWqA3By4TkeXAfrMSJaprme5umuWya5ieapvndxvvf2jTNf9m9/z83TfNLV7HfIAi+DHQevEcp7//86HYWodieN4+E0Xz2rLF7HA2MCctWORQyM2BTQ0gLfv24a5J6SWlX5PCkmgvNEjPWRbp9o7fMYH+r0hg8UYvCOlx7NDTjrZcZqgfD9Rvt7HZO7c7nNnOCmJ29NTNChZqe6dZFVjM12d5NdU84Po5goQ8a18nhNSyr1QenWxfZfQQhAWyfx+UBx67GERJxFNyovqWmBqq0n5LzZ0Z3SEwD//deK+zXm6jReJ8feF4X+VmY7vMOkw9agEHErjOsmbjCe16UDjVKVh3UUB2pldI3JgLIDcPPj26z/mtD6Eg7E9GoYNUs7UQ1TfMtIvIHReQ3ish3i8hva5rmu9Viv0NE/nbbtr9cRP5DEfkDy+43CIIvC2um0lrGm+V8fbCbUk6sL1SkadWmsjA1hs7rg11p3677zo/IoPPTHN70IhYmy6RoOe/pfb97f5qaCsOxys6dcgjdfXnvOSlWLOpgGbWcCuamSakxWZGeMZyd3PYiQCIzh2jz+uXsvO2vp7H1aqhoTMmZMpxUTsl6fbCbOX9WKtzVxkxYxbrf3r0/TRMKGVa9mtRPZLABOwT3cfOkzvl39SSHvq/IWUKEih0U7fCtWkjAu18tJ0Qvs1REpDsH1jnmVDh2pPR1KzkzQ9fDcjq8ySdsl9tI6M9qK8Kl4fPHwiVj7ssguC9WEYn6HhH5ibZtf7Jt288i8kdE5EAtcyAi0+7vPyYiv75pmoi1BsFXjPXlXVNDopfhYu2SklppmyJl5TgYDjufW5leng42Ry05QWwI9WqkKpTAElY6nfV/t8327XradxJ5kLmxn5ryDjThHaSrcfKU8RC9EckNMi5Sh7PVc5ictD6uUVq0ubF1TTnKBAcoGZYqjTIZzajBom1iRl+nHMIxYAO5J8nf3dc4LnZKsjo9R6yAawj5ZwxWLQxfOx35sSJXentpMkKnwRnj1/cSO6iW07CIoa2jN/o8cdql3oflKOhUzkXY2Vvr3RclJxHPgT6eIfT5GkqN5s9MUErnq3lf430/1BxX6R6PaFSwSlbhRH2HiFzT/z/VvWYu07btz4nI3xGRf0xvqGmaH2ia5qJpmouf/XsrGFkQBA9GbcqQ/mK0jBf85uVQG9Ac3kjzkQwrZUgOpbOwIeoZPJxWMohTE4Ev7/btemaADzpk3j6M2qDsf60CdnyTnIDXB7vpf5H8WnnnsZZUbF+SfqeoFzsfcOw8Bb50bKzcp2q90jILjt2KwOFYrjZmPcH42Hb21qQ5vJmnenavTbcuZqpqWxfp2nM6HVL6cB/rdNTXB7uzFEg1BsC9gjJHw3A0cY5ZrKIWzykZSqGrNXYx9smnFz0hDz1+/F2TEuwZ8LXUrKMdFtc5GHAUa8fDDlRtyp43Zg2fVxbl8Bh6XztN+rNTR6X4swD3UvqsEmPSoALrXohIVrBKmrZdTgayaZrvF5Hvbdv2d3b//3YR+afatn1Dy/yFbpmf6v7/1C3zN7ztvtho2osfXGpowRdI8/GhRxDUMFQPUZNSYzlPpeJlSPBacLG1NmSsdBb9GiIgJQODmUla20a+ltQWkbRs81FSU1sRMpS99fS2VeF0se/SGCnlTg0vi0Id3+Sy6QPbysY/tE/s7/I0yVlj371UObWeecx0fnEdF3JOu30ARIqml/PUud52qdbMlBynflGQJedoGY5d9xri1Mv0fheROnvWpFRMjiim6wcRBqUSWOs86dobK/qisZ47ftY4FU9EsvS80rPK29JjqmXM2Ev1enps3iRQKVI0ZnICz0Zp+/w/n9tV452bms95xrsWOuKm7zvrXOvt197fg60BgoBofkh+vG1b0/hYRSTqp0Vkg/7/zu41c5mmab4hIv+IiPzNFew7CIJ7xpK0HfO+x1AaCuqh9Gw6/8bsPr5svZlhHVXKVMMUbCxk9S5Or6aEERFghTp2oETsdDIN1z2Y0tykYNYbQwEY+Bn760nMo2Zbafw1++xEN0TmDWh72/H2U3A04UAtNdt8fJPViOGap1lwLXLRRcJYqU9vL6uV6uqs8INj18c9vTydp6ZSxJKVHV8f7NpNhUmSHffbIs1nvZoW/b/3nLmfA13kUEeZdU2RVbPjbbNU3zP2fsA4huqJSvux9gmJ/6zB8oBoCrAax+ox6rYFpfF5r/H//BmpHbWalDwsh3RWPEO67o8jtDwOfJ7zfnBt8Bm+SHQ1CFbFKpyoDyLyXU3TbDZN80xEfquIfFMt802Z9ZkUEfl+ETltlw2BBUFw7+h88ldv1rKUC5G6L2qR8gzmkJPGcIoafk+3LtIXLc9icroIK5xZX8BYnutZeHye5LHbkFZyhToPbRCz2hQX0puphRiH5YhUpBIhuoH9oTluNYukAB7f5I6AldLFxubxjTvTPt26kPOj24WceA9cz6yGjNMl6TiyKNbeWhKkmDVeNmquuvsB27Qat3pOoy62h+AFziU7WjUGpu6Jhu2K1EV+ahwVvYx3bGOiO6u41qUaGss50+ln2uliw99KVxMRkf31+fPWRWZxv4jMJ2T0s86fMezYWOeyRrXPclJ5okeP26uD0vA6SA/U96JuU4HX8D8+69lRCocpeEws7UR1NU5vRORPichfEpE/2rbtX2ya5t9vmuY3dYv9IRH5x5qm+QkReSsiPRn0IAi+DKxZWs6lt+Bll+3foY0dFkRIUY3jWY2KHo+OWgHtBPI+2NlKKm7dcj2p8JIToXr/TC9Pe3USxfQ8RTo2ij6ZUYkS3b4RDcE2x0ayloUlvy2nMQEBET5HSqUPBtuiAhMi82gqp21OPr3IIpFZg2BNd16hgGhFaFAzJTJPD2UHnCMWWeRC8mfoamOm4AflSJH8Hl7UydCGak1ECA6HNtZ7Y+GaQMMp4HU9xixbgxVZ8ZwkkblYCEfHsZ1S02Fs05LixvaRxmc5L6VeSKvqjYRnqBTN52tmOaH6+uA86Ek3Pj84d7xuCEEEj5mV9Ilq2/a4bdtf0bbtVtu2v6977d9p2/ab3d//d9u2v6Vt21/etu33tG37k6vYbxAEdw8X9pYMldoePWPz9UtfzlwLlbG/nklIi/RV5ziFzzL+rHRBkXmTVp45bQ5v5oZuSSlPZhENRCCaw5ss+oOeRRpT6c6IeKX+RJ7SmUojSv2Rjm/mingym0m/t2aV3VjZCQC9MZT6c3XOFa+zjFJfUtnrtm1NGvTolke9T/t2PRmFMB7fvT+dp+QZTupke5aix2Ow5NR7Y+heX3Sm3pMoF6lzUGqdtZ4aJYQzumtnOWH4XbsPnSY4tF4pyqXrujiarZ0HnTppfTYh+oI6TO4XJjIXdsG4sZxH6TkdUhwtpfJZzhH/XxuRAqU0b502qMcVjlTwWFlaWOKuCGGJr5MQlnicWF/iQ6kcq0ypYiAwwQ6UJcsNA4KFCmBUnx/d9r6YOe3Po5eO16XkYObWTdcz6oo4xevVm7VsjNrwGXI8uaBcH3NvDGp7qS6HhCjSGIwms1WvjUFJhQ9hGYZcCyLHN73+SYuKTGgBCDaqce3a512DXaTmdX/zaxAU4e3weJuP82J3fAZiu9hX+1yyNEJuMnu1Me+dhH3gdZFhyWpN6XnX29bPjRUhKn0W9KKKrLwofcN+UawUQb3NoX2xAA1SKD04GmWlVHK0Z8y4Gb7mNZMe1udITcRS3/McLVrks967H/U5A6tO3wthiWAMdy0sEQTBV0bNzG6pzmAV++cv2SzVpauZMWsEOmO6fduPWnDEyTo+z0HiCMpg5IPrp07mM8w1YgqlH7B5Pb4RcKrvojH25MJLcurLpvyVGvYqTDENgxSR6+BakzHotDmg7+vp1kW69rhPStENdnp39tYyh54NvOnlvLB+Z2+tJxzC9XpW2uAiz59WubSORT/fHIHRz71eF8du1vGo3l9afGKZzxPrGLzXxqYKZv3DxHagUD+K91G7x+dB/+Zx82teDZSZ/kpY63npetYyLM9vOV+oQdU/7DSVHHotGBT1T8FjJ5yoIAhWwlBO/CLbsIChAOUyGFeTTy/yVC7lGGR0hjtm8zHDrI1C1K64ESalvCYyLoUMtSwsZ41j0Y5hb7/WWMQ3sBikivFP0cngKNFd1kkVjkvEkIjWx8wqhVRvc7XxIdUxVWMIPehZ96TId5w7MJPt3azxL/e/wjiRForfk+3dtPyrN2tuXyGOplpjErGfvaF0W1ZHs9b3JkXGRg10zdvQjz6uu5qY8bar6yN5LHgNKZo4h14KIcQVMAkE51fEr2/i9Dk9xtSTjZwvs5ZwAP4cLR0/H7f1Hvc6Y+cXTuNdXbsgeCjCiQqCYJAah8grNB/zxVnreHlOQq9ZquQpLyJ51If/xqwnpwjW9nXBdpKhWYrcqNd2PreZ4Tndusglvws1TlravBdVGgk3r31UlBrv4n0rzbB7LzNIayNSRpNbvj9fH+xmCo0sCoD7KIseoMYKY+sU2bhZb5Ixx7KddHoS/FCCAzpNrJRWV0tNZEI7FpaIgBZlKAk2WIIY1rLW/leFJwBRk7YGqXksz9cH9XAA28AkEIu5pIkgUqDk7eEzyU3ho0kF67OwBn1NrIgkX3MvssTXTdeVBsFTIZyoIAgGWcYwqzHKxqJnW3kmlWdse9EoY3YfM6W9mfqClHaJKkOBoysntymFi8Up3Flly6FQMusLAWej5LA9tHPFEbEhRxXLd+AecRX1DNiB0sXvUBRkYRARWwxDG7QQFJluXWQppli++Tg/JvSrEuk/h9OtC2mf24IAAH97apSMNxFSA2+fRQRqhB00VjrgXUah9L65zovPH0eq9XnVsvAYM0eJ+H+8lmoYdb+0Z425b7ynwT2me8lZlMQmcG/rc8JgPPzZjnOC3zodz/yMDYIvnHCigiAYRM92L8NdzSizoZmNkSSq02/qxcLL40ses8NurZLVv6jj1Zu1haNBOvLVS4EZ48RUOBa95XSqnCca4aSarQQjXa8Ka0zGGN+9Px099rOT20wYQkR6zXVxr0w+vUgz9Wjam65r51C1b9ezHlwcqYBTpuueRPppV7inEfnie2VMk91Ss+kh9LPDWBGNUkTHq0ni47dY9nMEaXbaMRDx1Q49aW5r/G7NkxHtFJEslbT22Eo9oTRDn0+v3qz16p54HPp9vMagTgw/izjTQfDYCScqCIIqar4Aa4qTebllZqiHXsOsaCr437pIvX50fQxvg6MDiZqoh9q3mWo25BQoBwLpWr26KCsaoxuz1jog1nb139b/GmtMi6LS3nrvDfXjoigObw/G8phoFDg7KTi09Pe796cpotA+74QmSnVdLORBx7p5Pet19fpgN69dk7nR/u79TAXQcmBKTXaHnALGS+3SYEza2dTbEsl7DPE2hwRUhqKsNamA1v/s/LDMuo5Sc8ov/1jnpjheRLmdZwbRdKT86XXNvw10NBt/10Srcf9wfah13rRDpWvC9DoRjQqeEt946AEEQfBlUJpBBrW1U6uIQOlZY0vmXA52ZfrsIsl2n8NQfJP3X4FhNNte36A1/1dML0+l+Tg3InY+i5zxArWOFJEZIvskQ25Bs9dFI4mjS+ToTbZ3RT51KUh6zBbKEWgOb3rRmaWwxDR47AOS6DufW9mk/3v379YIafZuv3DEcT1eb3cNeEme/vX2S5Hj0+zaJ4edpecdY7h93tVVHXXpYQf5UCACMqHXdFrVucwN/ZpIFC9jGcqlZ99KJSxFms6PbuVKRS1SPZklzc+ofl16/dLrmeiMSqvLOL4R2euPD5LkIn0xDbRM4GMf6u121ns3F4rYwWfIs0Ym7HgYEx36ubcEUXY2cpU/XSuqwTEjGs5RUH2+X72Z3a9WP6eIPgVPmYhEBUFQxSqLgpcteue/s9lsJQE93brIDAVOW3p9sJtmepdJZxKRZMzAgYLiWnH5AacMCm8iJBhREeXpyZPzb2//++spglI0Lq2/ZX6+U33QXaX6MdY+EKXqonKeqmKpXsRK04QU+eTTi+Ss429t9Pec+f31mWPjNTA2HDncnyLOc9cpQnLUB3UobMi6zahHUPNM6HqgUkTIMrQt8QmPoagUb4cjXglEbOleyX7UmIEWUOA0PzhQ1rVKKowD0R99P/LyWmymtw9D2Y9rrXrLVU4e4HpxpAl/83Xk+7W0rfOj2xCXCJ4U4UQFQfDF4RpbFKmYfHqRpKdR+ySi1MQ6qWkYRFcbH/yIUUVUJqsT0GlyY+qIOqdGZN6I9+zZrMkwjsvCNJIqG9i+erM2NyRHNtDl67GMOqBJZa2TG7lS6nmb17OmyF7EI5PX5r5FJ7epKfF066JnDLIoiDXG1we7o85p0QHqUgBhuLMYgCUCUIOW79YTHSy4gGVYNGAIdqSKztIIB1yn+lk1ST0HZuS9zdvS9VHceFekL2XvCUB4Mu6emEwvndcYv7UvbK83OUIiNDWOq07t0/dUKX0vnKfgKRNOVBAEd0qpZkn/vQxs+HKTThHJvsQRKUppN3vzBphwuAZ7Jhn/o35lEeECDSu+sWOUjHddb+XMpvccQst45Fqq2tovinDp3ktLX8tFz92Ao5oZjIV9ZJGDLs0xRSHoPL56s2bW1qX7Ry1biiRotME52d6d95Hq0jZZGp/P+TLRJ96eVp/TIPqwqGLn6PukFHnE3x1Z3zB+fwF1SXY+Xr1Z69VCicz7yWF5doJ29tYyh8k7bu0E9Zwr7aRbVDpXvP2Sc8MOsz5mbqzLf4vkNanhPAVPmXCigiAYxRjjx5qV9NYf40yVZj3ZWLGaq3IvHkSo4PzgC785vMnX9aJSSkkP4+oJF3gGnGPMQ/Kc9zHZnkUy2rfrWTPeQWoMR5JUr17HUCVs367PnYVVpfSV1ARLY2NHs6NUr9LbZxfJgoy4Bo745vVLmWzvJolqS+L8/Oh2ITELkX6UZ+dzm6k2rqoOxerlU+rv4z2DtfvWqbmmettYFUXLedJUOlJW3Y81VivihHOCz6GadEUWfeip+ImTpquPR79eOA943msdbhwzHEmRPDLHkuaeomEQPDXCiQqCoAr9ZTumVsJ73ZrtHuOkWVLIXAgNMIua1ch0BoeuNxjcPwx0ZbwgkpXOU0EAorRt7fghCpEiUMc3toLgWAxxiSp1PxVlOXvWzK/fIg6Ptw+9fmVaormtblyIKEG1cTDqOIAromCcO6tWyoNloVG3p+/nq40P0r5dT84by0mLzKMHQ4xdxqt7wj5rqHUsXEqTGmOiTbpVgYpkDtUxpVpFmTtBWSsFmTsXVnok9lHqBdd7r1bwxojKWqmCi0YSo+9TEIQTFQRBJbrBIrAMIbzGgg1WrYY3Y7lMSpg1Mw/YQUn9e0SS0QLDNaX2lSIWbHR1hf48K5v6UQ1Jf9PrljADn6NUp7NAWlLCSoHSzoqXFlcw4BaSVy9tn9QGhxhUJdxfz/o3ZT2VONKnOZ41xW0+2ptFnYg2ppNq2t7aQjV2XFPDx9aLUtC1HCsHbsFGcaneiZ26sUY4nhM3+gT0vbbMPY/tqZ9SfZJIWWGPnUlEB1l8Ap+XOH+WMAVvs9c7yohGDY3NPW5j/Nax4G/9ee05zKG8F3zthBMVBEE1XvF6aVlQ84U71Ktm6IvdWoe3jdSrnb21vH/P/nqvv02WmqdrkBxYUjo7Fi/9RpEkwo9v0kwvy4afH90ub0wuQ0F4opcKOCYqUBLdGKtIqMaE6IA2/PX9mCJ9an/t8+FoDQzklEbaqfmhlqVK+t1RBbSOLxNAEemnbnW/S89cKZKgHajSeWPGTn5Yxnsm6GE5novc/yqyYzlM2f7FPxZcY91sVqR/n5QEGF69WesJSaTapyXu+dLz54lPIC11TPp1EAThRAVBsABWPYTl6Oho0yL1Evy/rqPwvuA5KsS5/DzW0gyt3k8y7AqGPoyR0Wkuyhg+O7lNURE4ejDC7zV9ZshYpXOBtLKaZYv7I8MPUblSqpM3TquI3zWKkdbX7ZNFPTKHxjBuuVYKEubZfVkS9HDGzD/c98cz/l2Ob9xj9przeu+J5M88TzQsmn6LqDavj//NFLZlI1PHN8W6NO0g6vRLRIu4Fo3bAiCKDfg88t8pUngynxBJUUXxnaNRdZAio86ZVjbUUcLS5FYQfM2EExUEwUJoo0MXGGuGvnCHCpEtB6xkxMGo0UZfJi6AtCsyTq39ZIZdIZ2O65ReH+zm0sQDEsUi85QyVvvi4/H6Ho1GG1hOdMldd+i9scs4++UIjyU7nq1/fJMZmZxuVRIigYoYo5XQkLZnGeHt2/X0wxGgVPNSU7u2v57VyMBY94zm4rNE53JscT/Ok54IGFO/VJrYwPta2U5HdrKI1AKKkdlr9GM921YapE6ZZGcWz+bmNfVK6pZBfZqIbuCdpxnzZ4mpjMnLjXUWF6jxswQtuMfW64Pd7BnBvRDiEcHXTjhRQRCMQheF6y9SLQFsFaWvkkULoxM0A6yNaZDVJInYKlgd3EPo/Oi2urZnZ28tpZRxSthke3dWv7WIkERJoGEoSrKAMZalPvJvax+eqhj9DeONHYzejDwZ2qUGrJYjBafajL6ocXCqZu84KC0UUYarjQ8zp7jGEWDhi257MMb187aKZ8h6ZhepcRoai7ctK9KsUwdFbCGEKpyaJ02vjk//GMtjnVJjaj4ebqeQOWc0gePBy7FjjhTV4rmxnm/nWWQn0TomHYUM9b0gmBFOVBAEo7AMsCHcWiFjO3pGehlc9bQO7islxzeuKIU5i8wYURUYUil6MRClOTu5lfbtujSHNynyAeW7q40PC88wV9caaaNrgdoTFljobdf730BHfPieSLVtXeNhHSHUEUWcP55ZZ6fM4vzoVprDm7kTJLPUyuxeH4gcwHhORjz1j0KkC9uHA51tv0vttEQcsnu6cF+MTf/U9YDASvFaRJ2v9Dxj29azPyi9bzx/pdqmnhT6kBy62mZ6TdcIdsvhc4d7R3mTIGcnt5mjlxpqG2O+2vjQe88cE/9PjhM+DxZxTHUbiNp1guApE05UEASjsb5IS3UW+Luk+KVfXyZ1CMAo81L0UsQHRq6zjN7PkBGCGqYs5dEyukTySEUnKCHSnQsyykb1GSo5XDW1TguKV2TnaURNVUandIgGtexco16Ja+10qqWubUMBv8i8ziU5VV0alnV/tG/Xk4AD3s/SKQ3nUDtlaNwLMqGI/fn2z05upX0uZrpmtcqecz6t5rA6nU47L4tOXljpkmNh5T7eTnFCQCR7nvj51Cm/g32kCtvvrUsRL36Os2deOzEynySwPkc8RxRRIty7+J05Z4UoJ4/BdFDVvpia1D3cYyy1j+cvnKngqRJOVBAEK6U0W+kZcqvCmx23jDtWGmTDUad7sbHOmKl95AyhrmXz+uWwkhYBxwEGNQrYR6McCu2smUbk0Cy1ej+JMHRF++/en2ZF8mm/he1ZThsX3teKdVhpWz3p6OObFOFj47IUkdrZW5tFphyZ8wxH5AKwoImZOjUQbTQjaFaUpJKa1D3tzCyKXterZ+S2CJrMWbGEE9T9ydHHxIITBL119/Om19Z+07g78RJ2+JvDm3R/meqLWBeOt4pkpf+NSFNy3tR5wnPF9ZacyoffLK0/5EDBcQrJ8+BrJJyoIAiWxlOlslL4PEdKO1+L5N3X1GBo9UBGR60s5bBa4FSYPaN0yg39j/WwLKexVaf0aZnjWsORZ9g1nYHaMxApfW4hVcKKsVlCG6B0j/Rqp8Rx3tUYXr1Zk8mnF/LqzZpbJ1cLC0Vweh+rs3njYBapWSot6wm18N93bRQPicVYz1vPcaE0WZ3C5zrUi6CcEi+Cg5TOs5Pb7DnCmHA/sbM4+fSiFwE05e3Z4Tee0eT8WKm6Kp3Yi2xz76jzo9vihJjuA+gJt0T9VPBU+cZDDyAIgi8XXR9hORrakUJaX01KX+3+NaUUPh4L/h7a5+uDXbmS+bGywp8XTbj6/CFLRZOueP+s4piQDjibpb4QSeOzHQkXjvKwIVWgFDU7IydwZ29tniq3vy7SKZeJNLazOJZuG+eHucS7KYogw8b+zudWzvbX5erzB5Fj5Rjtr4t8nI/17ORWdvZm6VITvjcWUUdEjdzefIzVIiFGalov0rciap20sdGosZMPnvS5/tuLnGiWagLt3Mc6JU6D1ODNzlHZpHG/erMmcj2fdNApx/jbimbhONM90EXDpvsXaVzecXiiEb2xd9s4H3B8rIkxfJYmYR0J5yl42oQTFQTBQmgJXzAUkRg7K2kVuw8JRpQiUpBY9hwp3p92sGpm5rMZ5MtTaT7OjX/uK9Sjc3hmBvws9ef8/alMeKwHuzJVhklKBzIMxKZzQHqRD12TZRWje3Tvb3YNbEW6WW3D8LPSrdI2+LezDxHUhvlROFY+s2o5dsg43dn4MIsEcPPbToxC3xNwdPT5Hg1SqcRIAR1p1JccqBoDecwEhefEjKUkMT+EVdPITpZ2qPT+slTOZXCU9EoTNcx060J2PkuKTk3odZEm3Zf4PM2uM933VmR1Ft2c7ffMidbqnmOoqdr5LL3UPZFh8R99DngSI6JOwddEpPMFQbAQ7HQsamRZX7ilNL5VSDxjrNogsFL7FqnbypS/1H6SQtuAUh+nwPC4plsXMtnezUQwvP5FqFdy5dEXEZ8g54YlntPfVhrhUMpaQWBCjm+yNL6SMmRtkf6rN2uZEhobo0NS56Nh1TY67oX6/wxhbG9sBMhLo6t57hZNBeTt6v1bYhc6YmbVWvVq4ZYk3StqPxordS1z8vfWUq8pjA1RLQipZCIaNMFhpSPyPY/nRD8HOgK1ef0yayjNPaKsz17UPLVv12W6dWEqNWK7er3RjceD4AsjnKggCBbGM5a0o2LVQdWk0WE5S9ihVgZ9jBSzZQBp9TKN2YOGDDeOaLHKHgwqltFmB0Xz+mA3GT/amCrN/k63LvrKgzryNBZLSllkWNlv0X0tuq4DG+RDBfSTTy/yazSGJaJGWD9rAFujeEg/NTWCIsPS48tibX/ZyRDAz2a1dLnGipjur2fPdil1GL/ZwUMdH0d6es1sO/EXTt/D8XDU0nKMdPQInysccbLW04qVeJ0dK/D6YLfYD4vPAadrs9AE9ocfdq7CwQq+dMKJCoJgIUqOzbJYX64sa83KekNGnp6x5jF6+wG1kS+tAGfB4+bZ3+nWhemUaMczU+1TqT7WcbRv15NMunkMY5wSow+PWbxe2mYp4rQAMNSYkrGuIyVWBESkfy6nl6dzeXVLEW4EmeDBWJGQIUaOqyQGsAj6fA5NXgwJSIzdp4gsJl3OKOfJG5eV6liSJrfWTZEtpQ7Jwg4c/TKFJpz9W0qBOuURYhbnR7c98RR2hDSWQ8UOVM3nsedghRx68KURTlQQBAsDR6pkiHlpc5ZIAC9f+jJd9Iu2ts7DGpeXPtSTEWf211NaIEfgahTfppezGqpXb9aS42T1EWqfz7ZpRZuwfEr1QTqhGqPVI4vpGf1dQXuPkpOxaFG/87913w0pzunrj+vARf8cBYQ0NZotN4c34/p1OSDS0Evv9BjrHNxB1G5V22HnqZQONrStZR2wHobzVBOF09ElbsyNe4UjS7P6qGE5ep5w4f3gb5wDOEHnR7dmhAqv8XJ6Mgqw89Rzlpx7ij/L9Pkaq4a4smsZBPdE07bje0vcBy82mvbiBx96FMF9U9WLJXh0wEHQRpFWa6oRnLAk0mv2VwOKt7FuSX63RlBi8/qlK72t08R0GmO2nmf0DqXH8XLetpTDM7087W93YD9wslAYnxl2Vk+oVRnx3AOnE9vQqmBj7gFtHGuRgs3rl6ajKjL/bMJ19JYrMdm2x7uS+h3rmsqwktx9MyaVsGZbfE2z3kki8xq+0vPVoc+TV/PEr1upepaIA7YN56TnGPE49fOlSOp5JERR+hzzsD5DdYpfqQYL5wP7ZedRU1JP9Fi2tUCJosBPECiaH5Ifb9vWnD2LSFQQBCvDS+OpiRzVOE/MIrUavI+S8TY0XhynNwaegR5SKyzRHN4MRolEJGu2OdnO99Uc3qRZZy5o7+FFQ6hR55CBt3Q6lbW9DtSO1JxL79qiPq0YPXUiQ+3zWYrk9PLUdZyHmF6elgUCnP5cVQw0+rVYRb3TXW+/ZhsL7YeczKG6J+b86Da7d0r9p7QDhTQ6NL1NkxuqJjI1myY4SgYHA/fhdOtC2rfrZs0R/0AgAtEmrM9OXynSqgUqaibHrMh9TYSKjyUIHishcR4EwcrBF2cplc+bkbZU6TR3bfyVMFN9WBb8+Eamcio7G10a3qXIZHsegcI5yWasLZny/XV5tYfZcf9cTLZ3U1Tk/OhWzuVUpm/ns+8cCdy8fjnrf4RGoLqHlDFrb6l7iYgIHInaaNkK0DPunsx+CZyPV2/WepEHTrs6E7Hl3/k3ka5hB4zRLELC6xrOMXpZZah7677xRFVKr9csd2dUnqsJSfQzHKVM0cZumw19Nr0+2BXpUvO4f5OO5vBkyzyVr0k94LL7hKNU3YRFOndqrKl1gap54u1Y96M1CcLHoB0rhp3y2jooSKknCve/ta6I9J5VPYYgeCgiEhUEwUrwnB/Ovc+azyoQZSjNPq5iZnIRJ61kBFqz/Ug9E8lTuLRoxeTTi2TAZLPS6BnVyQ5nsAIb7Y/VtSCC0HzMlRIzMRBlZHoz0Nq5Kxouy8iBV1BrNA0ZdTql0xMHGJOCpO8RRKx68vKqBi0TmxCKjFBUL702dH7V+6z4VjPm+2DsPkvL1wjLLOJ4wlnPosCd2EtK5zScDSvdTddS8rOO33gum8NcBEb/jXompM5pR8eKcHpRNn6P67oynHPnpT2WxmPVjrLyZKZCaaAFKZaJ8AfBqggnKgiCpSkZt57jM2RMaXW62lS8MYwxyjkC1ROZUKILyfnpXufxslMJ44lngNE7pvkopuxwc3gz/+nqdNjwwHnCujrC1zM6S8IGRj8rjqRNPr3InT+OaOltLEM3K6/Vu3SD5Fp0TRTQaX5Wfy0vvbJnpGI54/itCJi3n8n2bjKgua9VwkkBhIPOx2QZovzDYxpyTkrKdV6ECj935byhbYCImJMNejweeFaQwppk7jvQa0zDEyP8GlJRvTHAKfL6nuEzAyl5FpYDU5s6Z7ZpEHEb/Vp1UF7dU28MVKNZmqSoGXc4UsFDE+l8QRCsDCvVyntfpG9M6iL/VX5BakfGIu3vui4NCUYQjFVueDnr63QqVioeokKcWpbV/5zcyoSP3RKDIGZGiR8J9JQQ9bHsfJZ+OlkHjpFnwpNheOlsdFkHitZPaUvK2PeoiVJoBwr/m82JB8Z5JrPrwOprzeEsejHdn8nY7+ytyZkgikERDEOl7mrjQ+dIfUgiAu/en8o7maVyiYjbyJhr8vRxepw9a2RH3fPLODzLOkqesIO3Ly3xXTTC99dFDAP+/Og2Oeqz56ETcVCpa9phsJT3dj63lILX5OsoJx7nnmuogP4ctSJfvXRCrw2Bca4YvT29P5yjdC5kXFq1FxmtEbHwgCMVqX3BQxCRqCAIVo7+4re+4CyHyksTKc2arxprVt4CM8y67gD9V0TmEbTXB7tzw5fAebIMvunlqUwvB8QgaDvAi/y1b9elfbvuCkKcndz26iusGWPUJ1jHPxjRWgFwrocc7F600NkWftcaYVZ6HoATrY3gnnHKzWDVuYf4BcNG4qs3a3nqpXNfcIqilzaloxXco0hvp/R/zfPI57qW2mgKjpHXS1SkpAE8i3zv8LPMjWez+jk1Rjwbegz6ueFmvHwNplsX6flv367LdOsijak5vHEjPp46Iy9f4xjXODBDqa9D18xSMHQjYs76/MyU1AGD4K4IJyoIgjvB6kNiLcO/gZU6V8uqUoWqajE6owWGDxSv8Pe796fJGJLjmyStqyXPi2ktJ/1GmAyfnxStMKJRus4moYUT0PyT6nF4Xzj2XpNgQ1q9+Dr+Vg5W1stKORs8jtooyVDaVk89bCgKNdALS1/LzElWjVX1ul49DB/D+dHt4DMx3broRxycc5m9L+XndtnJi6E0P/7RTgGfNz0O7Yika+CoUHqpeBCS0BETryk317Pp54S3s7O3lglIZPA9oZ0glZaJ63J+dNurn0rr8G8HPcFQcnD52BCFWoXDoiN5liNaA68XjlRw30SfqOBREX2inh6lprolidwxBptVwK23ASOklPpR6j+Vpd5YfZK009AZQLqfkHWPe72Hmo+zCBIMMDguvI32+WxfVv0UbxtpeL0ZawMozXnOXToXhahMhpNelKXxdOluuH5eP6uSw1klNGCsk/XuGjg3OPep14xxzM3hTTrX6W/qYWTdF7V9sGquH7bHfb2q1lP3EYxSKy2wJlWwZAgPysQb9ww7Ivw8Dm4DFO6fdH6UKh6Oj/sysThEaSxmdKaQaod1xvRI6vWcM7ZXepY1JcVFpDt6eNeiZgxJMVRm1/nd+9Ne9L7mGGqiytEnKhhD9IkKguDeWbaeCakv+ku9ZoayJgo2tG/9PzsNvRQ2yyA6vhnVkJWFKKztaAM/S2nrlMMA6jp07RJSkFK0xzHkhgyeVAumtuOu4yyTRQ46QQ5E8jxKal5jHCisy8XppR45HlkNjMzr4c6Pbm3lRoiI8DnpnFZdKM/S9CKdoVlqHKvFFEjYpMqINraNe7+U1jokJqFfS/viKKYV1YQT3f24KZqVDal1vZG1Db2MTs1EFAggMuidYzPtlUCkZ/LphTSHN5kDhWfY6veEZ/vd+9P5fdtFQlncokaggbHSpnVvLIshB6q0jPV6+za/9lYU17vnIiIV3BcRiQoeFRGJepoMFf6WpM+t7egZev1lavUw0Sp1Q2MR6Utg66Jur76o2DuJ1Kl4vFY0iiNCPFPbMzKl6xe1dZEZeDBEmo/9c5xFR9T4tLoYn0NXjOFZvzcN9zgaLPbndWowHMAx9RTYF0vQ10ZreJyIILGoCCIVKcLFUTVEhgppg5Pt/HlBHZrrlBsOqhWVc/dJ65fqofS2PcNar2eJVRSPRffGUucuHc9AJJj/tqJLve10z6aOkF9tfMgEFaz3e9sTuufVMeA9K+LEkaXsPjGiuCJK6IGeUz0RMUau38JL5Ss9054j531OmK9rjHvVyxzwPusjEhWMISJRQRA8amojR1oa3JsBt6iNUmAstQXYY42Tnc+tKxxwtfEhV6Qjo3dnb61fc9OlwInM06Ng2CUp8r21XlTw9cGub1CT0MHZsyY710PH1TOorMaxhXocE0vS25FeLkWpeBlmenk6W7YU5fGOYX899e7BWLB9pCMhwqjFOkp1K9PL08zQw7lnmW2Nvg8RNeF6l8n2rky2d/MIYjc27idUW4uol9GRM/239X9iSBbf6YFlLm84UNZ403goAgYxBwg66OeKHaihzy29bTD59KLsQJHgiFkfSHBE6vzoNm13rNADlikttyoHqgddoyqBiS4qZd2n7FiF/Hlw14QTFQTBnXMX8rOegIJmGaGJWmMyiTYAzGpv7/YMPC9qJiK9VCERSSk+MI6085NFVbpam1dv1pLwBauNZednSDGvM9h45t1Kp9q8funWcOjICBvt3v6GxqXT52pUwHrLaGO0NvqlofW0EwkVvdQY9eQ2i3oNpQ7CYdLpfVmfKnIo9aQCG9fs2PF4dU8jpiQ2wCp1rCbYvl3PRD+WFnkxrkt2PQuRiqH+UJzOqeF7bPLpxaBwwdmzxkx56ynYdQIT1iQKnLYehboujMtqJYF0Uk/JTz8TPVGOCiyZd71Pdop0pNNK7TX/19dURa34XqtRVg2CVRF9ooIg+KIpOVIl4YohrHQond+fGc6G8TZbv8lmxqdbF/KOxscpilhnR+bOUpYyNKAcN926ENlalzPlIJyJiOzn+5WDXbna66ugWbx6syZXMk9t5ChdqQaBU5nSuZDCuZPuHFvpkOq1YiqlN5aRJHGGArh+vVTPk1uR/QuRY3v9d+9PZVqRVmQpV+7s9XsVbYrfRHjn86xnET8H50e3snkgveX1uiVD1KqdS9GTrYue+EIVA8IL7r06cO29NMAztezO3trMASEn9J2IvD7ojPWD+bJaep77JmXnpRvX+eFNb30R6QuacOqfcz6yOqOtC5m+Xe85aBCCGEqlHXKgNq9fyrnR706v05s0KTD59EI2RUSc+sf0OYDt7q2l3l6b1y9FNuZ9vEr3aPSQCu6SiEQFQRAUKBkD2nDWBh6MtWRcdDUX/MXuKgZ2BgQk0kvpd/z35NOLPFrB4+vg+onm8MaMmPEYNJ7YQClVZ6jWgWfX+Xxp4xLbcSM5Q1GlyqgTjOkhkhNpyJtrwx4RnLNnzcyARmSOZd1FktPJ4iAic6N78/plkrjGD18LNuxfH+yadU669o8ZvOcpkrd5/VJevVmb7VMJRSwVCbBqm/C/lSba0XNerGeS31ecncwV6KDIBziiq/t2WWmLWnEO6+K6DomouGN0HKLp1kUmOoFj0KIX+j4dSp/jBtsWHAnSEciS0ukVOUIW3nvW/er9BMFdEk5UEARPllrBCgvuA1PzZWymjBFerxidrgU1r0VTzJJS2N5acqbgEHBU6+zkVs5ObpMDB4W8bMyf21RUPyQmIDJXgUtpYpjt1zPd+/2mv4P1VArT+BxKURzB2bOmSuUL51HEUcHTaYPkYHBzZq6VQkonnGd9H3O9x9XGh9QXCmPwHCQdbeLryeloVc5P56BkKYJw3g1HZ3CbtfVotSindqjeB3Ddmb7+cKrbt+vFeyMpMGKbFCF69WYt1eGZ0VYrHbHmvlbPGo/P6oc2lLYHJ2SM3DrfP3x/acW/Mc61p3iIsaEmsfQTBHdFpPMFQfBkGJO6MdQvqrQdHVnJVLQQfdACEfvrIp1K2+RTnh7Ti0YtWqPT7av5OFeFm2zvyvnRfF+vD3ZFrkUm2zNH5OozyZ9vfJAzQ52PU5DY8PZSv6oiVKVjqOn94xmWhuhEsYamsB+d6uXur9sup2WKk/4EkE7HxrVszR2o86NbkS7db7p1IULiI560s+fg6kiCVdv26s2ayLX0lnGPmTh71sjOmy5y9za/f6ztXG18ELmkbZVk23VaG0f3BiJN2XUviU/Qa1O5kJ3Pc4W7HYo+vXqzJtOTU5FLmaWabV2ISJOWsaKt2oFa6F7UOMeDzyWoQ+K51c5EKb05NfSl+3coCoX1rOVqa0pLz7xWVvVSC4PgvgknKgiCO+eh8tJrhCdq4BlVLWxQxEpJOr6Rdx9zhS+QDFlavqYup8R060Ku3swbufbqMCj1b/P6pUxE5GzrIkkwsyEGqW3PWdJMtnfl6nO5MWpmQFnS1oyTBlja7rLSzkOgXuPsWSPy0RYB0NdvZ29N5ONc1e/1wa68OzoVHEXqWyX9iNv50a2cvZ29VhKnyMQ/DiSr1/HSMS1BCG0cZ9Gd/XV5tTevU9k8EGkO58c07e4jvY+FwXPh1Q+J9O8b/ntIuATRnP112dn4kJwpGO1unyNMkhhy7JvXVPv07KLvFOr9O+ODKEO6HzplTu00pvNNz9vVmzw1deznoG6yy04NOzRWHWkN3nnFZ1Y4TcFjJdL5giC4c5YReFhkP8BqXOr9P8RQKpuua0npcY5RhLokXeyf1ZZIbmC4tUsEpyPhb0iVZ1LqZLD10h47Vb/27XxfqK3RhnbpnGhnq1d7cXyTp7JZsHGsX5PhBp6LCkp4107Xm509a5KUNZ9HTt/c2VtL0uLoK8WNVEv3olbQg1CAiGT9hICVMqWlx4f6P1nrWWldUK5D2ifGJ9L1OzvOG6Sa+y1FoUrLlCKRFc7SoIR2J/OfjVlHQa2o6PG87QCeZ6RcmsczFFkl0n3S3ZvevX1+dNt7j++3MWB5pHty+pze7jITZfp6lPo8BcFjIZrtBo+KaLb79LnPqFTNvmoaAev0p6JiGfd2MeAmrKg3YuM7NWc1qIlK6ca6aKqLBq4ppQjpRp3sNlKA0r47Y5SdMj5udqisQu9SQXm2L1LgMuvKCgplQ2TNTumYBtmfN0SeXs5lxXmmX6dl6bozwBE4dhatiQXdg0hH/qyIHm/TUtjzUv8s9P2N4+H71VtP3xu6wXAPFbVxsZxnY52hlLBMfGKv0LxYbZfT8dC82nTssS69j9TMNBlhHfPAeeD7jZ+Z0vHWRmeHaj35HtLpgNa94DXkZYaiVffhPEWz3WAM0Ww3CIJHw33OLtY4UDWwAtpgusp+3jgS6UcQXOCxsQiAa6hS/cdgWl9hdj6r1yGDLfX8Ob4xjUpWJOPoE/4vGesMG0c7n9v5vqggPs1G18hcV6jwWRLqtUX6fO9gBh6KeOdHt0kUArAABODoZXN406tN0XVKHCnIpO1pGVbHQ+Nmvi+9XkW8b0tJDsuWxmf1QuJ7gXtHpUic50DJPFqLc4mf3n2g1uNnDNthJcyiuIfM652yyHEXfWwO59vA+RWRLCprsbO3lu0XDlRRnMQ7PqfOi8dcU0Mkkkd/OTrLzWq9H76eUP1LPegMWD2ShR/4xxsvR7mC4EshaqKCIPgq8CJOY760vaiLSD9Kg2JzRHpgbA4pvrnRmApgLGVRjmtJvVigyqe32xzepIiVplYmWCtxWXBhfarnIMPxbOg4xxTjl4QEhiJS++tZfdP0suvptL8ucnwq4kQLkbIF5wo1ZbP/Z9f+/Oh2nsZ5na+P3lKpjmrLd0A8dHRTpN87Tde38PWy7k+M9VzyNC4tl66dl3fvT1M9Xq8mbn9dzg9vujqwPCqHPk1mvzDjeeDt4n6dCDmd6tpfff4gcjyLzk7lNI1lcrArr97kabvn0k0+HFOEVrO/LmeSO4W43jVCEjuf27mISUmS3ToPVH/FTs/kUzfhgX1szHuLWamuVnrj2HpCdtg9dAQ2ap6CL5lwooIg+KqoTSdcNO0QjU0BRyNeH+zKlXxI27ZEJTKDClQ4D3BKJqq+CY11XytxAZ7NzxT7LufRojMavxW1s4QJgKfch22LzJyLqZz2j682bc+JTICiAVpg53Mr7dt1mXxSY+rWm25dzNXl9JiPb2S6f5EiEZlTc90XeUjbO547t5lB7aSOISXNMkD1tUJaYOI6d3o9dKQRjlNNiiAr9m12jWpFyX5rBcNlRCfQnPVdJ2yRpa1yfVvnrM/O32ySA+uk67A/F8SYRaAucofWUOCE8EPz/lSkc7ymzy7mToujBijSb/hbFFehZbghbU9ggiZuUM+4ox1ZmUfxeg2wpd88t+b66HtNfyZkn0tB8IUT6XxBEDwJhlLzxkSh7kIAA04TO1T4zbOyxZS9/XVX9AA1Ezola8z4tMGD7Vpw1MDCM7i8hrw9Z2EBCWgYg25jX95PQfQDxndKS9vezYRCrJ5a2bEd36SIDvpNaXEBnB8IMHhw2qC+9rmkej/ttEZ+Hil6llAI10bx9ry/eQzaIE9iJs6xWj2Zeo1zgRKswH6bw5sspYyvU3N4M0+/7ARNdNPctDyEJU5u8zHrSCal6SIVDUILON4s8qspTR5U3P+llD4WxdCfPel+Uteo18+NXuNIohXJ0tfaU3+s6b0WBF8K4UQFQfAkqHUcapbzlrEcg5o6KTYeuGEq7y9FKwpRmJ4cuEi2fGncvXSqzpDMpLCvXyYVuTS+43lEBcvw8vx3jWIfL3e18SE5JVq1L/2udKa0AajrobJ98D7ZqaL9Q8SDa37MepuOnkF6cpuECKD0VlvQz6Q6si7yhDGw6INeFtSIfnh1XPpa4jUeu9XAdrp1kYmH4L5P63VOYHW9ouX4GtcUKZLaWWwOb1JU8N37097z9fpgV9q36/mxWPuzpMnJmRWR5DwVHXm9ff3+UP3ewDPB9Vz6OPH+1cYH9z5mtLOk19F1aVh2qLExTxwFwZdMOFFBEASKmi/4MYYwlmfjIRnZxLv3p/PZcsOAcg0TZdzxfpDKIyLZMlDd0zUKPWepM3h55l4b4dw3ZsiRgkOH99kQm3x60ZOKt2DFQI2nSoYxsYEJeXUWQZhs76btaznz3jZpnGcns8gJFEa10ICuV4MzU9qHyFzQwKpd4mvFKZe6Ts9Lr9KRCkSlLAEKnYblOZWQPcey2bjJ+eGIxOuD3Uy0gp8/3gccIkTnsA5S6TAufR54P7jeqA3TkwUZlnODY+juGa1I59ZAGc6fG2mz/je2o7EcI46MWZM9pTTY0qRBDd7nVZVATxB8AYQTFQTBV8GqZz6HZKJF5kYEG7Wc1gWHSYsA7Oyt2Wlo3oy1zBwLODQwijnq5am2YZ9Ylo3Zyfau2cOp5EDCybIMcc+Y168NGW6IYCUwO6/TrtSsPaen8WuWgp6Vptg7bnU9zk5mTUkhd87gXiipm/G2kjPZpRXyOC1HlSM71vbhzFj3ge4fhIgOrqVWkOT9sbIa7j0o7LEDqCNPSHPE+Xj1Zi0pRVrjn3x6kSYH+Bni2i7t4GPsvB8thpEihJSih2sgIpmSIFL3tPOE+itWTsxQ0VYoGWphlVVRqknCtdLUOkyWY1QrVBEET41wooIg+GqodaTYqShJQzOb1y/l7OQ2NwC72g2kOPHr7ARYkZ3UWLeTXc7WVb+t/kN621Zal9Wr6NWbtcwY5fMAI5YjUlZaljbiLAVDjyzty6GqH1B3jifbu2ZEwjI04UxYToXlBKB5rkhnhO7NU9dSpMU5Do7aZbDSWncs7KDocXNEZ5FaOC1j/e79qUy3LlJER8tOawdTC6TAyeG6MpHZuWX5co5YAd00uChgcXyTNYAG2ln07jkeY6pbYsdJiUfAATFT94ZaDygZ/1Qbxw7biOiS9Tr+x7Vhxxby4lq2f2hb+n+MX9dMcSprOE/B10Q4UUEQPDksZ2lZNagaR8rs4UIGlNUklY1MvS/Mes8klmfbmWzvznrZ7OU9fLCe7jOkx8uGv+5LpGfpOQqhIxD8OhvSpf3r+hqLqjSfQl0Ijk+n03mwsc3j00a87oGDFLLN65fZteBt6BobPm5c7/Oj2/n6cKAgaEDr4vxOty6SM6UdhdcHu/O+X4QWghCRufGP+7Or20oNZWV+/b3JBx3RYOdbpzvinHKqH7+n7wcrIpXVa+2v9yJ0eizW61nUpNSPjKJH3HAXEbME34cD0SQWthizHtAOjE4LhPOO84J7DNcQz7ieFOB6N2yrJHnO131Rp8kTpAmCL4lwooIgeFKUok3VxewLrJ+MU56V1jPbkjfOZCMR6U1whJLRfGmnKInM1doQAYOBhzQqdoysXjoWmG2HkWMdM8ana1isZsHa+eTUK2vfIpI7ERaWGITajp59t1KZMA5t0GmHQ//mY7ecr5RuZhwDOwJ8Lef9hcpgGThTGLt17q3rbDoWhoIcHzPuLfx4z4mO8LHoA6JbVtSC1eOaw5ueMh+iudwglsE51XVWVxsfssgM9uneX4Z0OUef9POaPesDjlDmmOvIk0rV1Y4MHCUrVRjb1hE5LKPr3qzlOP03c/4d9ISCpuSIiYQDFTwdwokKguDJcd89SLSyV894MJwplmnupRV1YMabX9+8fpkMSqw/2d7NJJkzA9Rw6tiB89L/RCQz0K20LYAifYwPEQkYWJZqnDa4ewIEZGQmIQkuzC9EmrT0N5M1+VRNaXkswHKktKiD/r15/TIp/FnRAnYirzY+2EY9HX/7dl3a5/kxcI0Qj09k5mh5Ub/BSJ9y9i0y509E2uezn17aKgFVOIxPj40nDpBGiGW0Q8UpZNqBsNJXi9FjOmZ+dqGAyLLlvO+M7lqVBE8QhctS+bTyIB2jVnLk34iOeRE8vbyVtgvgfPJ9VFWTKHlUs7amavBaBMEXRDhRQRA8KZZxoErGt4g9289pQZNPL6Q5vEn1UYNF43CcULy+tybt2/X5OArricxnqIuS7F2kivsN6WMCMMo4/YeX06/pejF2DqxamlIEis8rjEQYljgOOE+cfpSglDnsT/fgStsisBxHkfTYrP9xfN655xQ/RMV4/2hKWlNPA+M0i1BSSlmpvsU7Jp1ul2FNBCjMVL9uYsASGkCEg8eqzx0ryb3qGvW+e39qOy7O8Vn1b24qbifgAaU9rfKH9TkNMR2Xdry69MKh3mM4T9lvhSWF70Xg+IfX1WqKVn8m9P/Ctmp7OOmeULUpfezQBcFTIJyoIAieJEOpeWN7lVgOlIgkYx8z7b2aiZJUMf+9v54iGCKd3Lme2d5fnzVnlXm04fzotmf8cPqTFrEQyY00S0BDH7d2hkTyOhxd/8QOl3bSqtTpaJxwRlgRDSSjVTXA5foPKwoGB0DXoVliBJaBDkcT+9LnxjLareiVZrp1YabW4TWOHk4+vXAdKSsaw3h1SxwxRY1UCcuwx3YxOQDHSS/H5x+/rdRT6xm1nB0eE/bJkVR+TwtGACyPGqjesyxiik5YTmMPz3Ey6vv4PtQphBgPR6MhIME9mtA8mNUDrWd80cjQUC8oTThQwVMknKggCJ4kQ1GlVYIIT1YnUVDcEhFzFnq6dSGT7VnzT9RHofmtTl8znR7eJxlnUPebXp72DB/tHGp5dH4dy7PDwctbEthYR18LdigscQDtcMDxsepCrBoMjNESwIBBx9vyhDj0mNiJ1M4rtmG9rp0cK4pWEstoPs6PF9eMo5BWGqYZsdOUBA5UZKkIpVrqbXDKItf4pRo4lYIG8AxY9UA4fs+J45RDOCOcdsb1WiJ9B5h7uPWihbrZL0vsLyJVrj4nOPJlNa+1elFdbXzo7Tut240fnysi/b5wmtI9Y/W5Kt0j4UAFT5WlnKimaX5+0zR/ummav9z9/nnOcv9f0zR/rvv55jL7DIIgWAbPyAee81Wawe3N7NOsc1WqCxlfECRAM95U7H1y2zP6M8O/k0JPqXAdiOQkh4wMUnYqLHQthXaUvIgTr8OUDDYd8bGEG7TYgYWV8mQdl3au9Ha9c8JOJBfua2O8JorDlJruwimCM6yvmXbK4GR5UbSMgcbGuDeHIhZoYmtJfvf+V+lgcnyT6qms82ZFsvT71t+sFuhdD0StXh/MJi+gcJito89R91yPjcbUUhXZIhBpyiKJvK6qt+L7tiTyMCZK5X3OhQMVPGWWjUT9bhH5sbZtv0tEfqz73+Lvt237a7uf37TkPoMgCKoY+vKu+XL30tK8GhsR6RktpfdT9MiKRhzfzAr2L+fjbD7OfjhadLXxISvWF5kXuaMBLI5X1yp5xwxK9Vb6xzLeS1jiFpbh5qXXlYQlLLRjByNbR+NKRrtenpfNHPAu6uI5BVivVordo3273nOQtOPJ16TnvFXum9PHtPOws7eWp48OQRMGHFUZUmW0xsoOgY5W8bmxFO5Yvpyb92bjdBo3p7GuIPKURbMsvNetlgorAveM63xXEg5U8JRZ1ok6EJFp9/dURL5vye0FQRCsHCvqwOjIhF7PWh5YDUN7SlWWJDcUvbqCdm5EqteBQ8QpSvxb1zZlY9xfl7NnTc8ZtFTRrOPT50PX9lgROat2qeRYeefZS0Xj1/mc1Rp63C+Hx80RuqHxsJOCSAu2h0a8IpLVuJXGV2sIZ/U9SJHr5M698ZZS+rIIhobvW5Wuxn2ykvM0wqGA0zLkxPH9en6UC6SU+mFxup4WtAB4btq368mRMYU+jLpCE6u+rGKds5PbYiTS3daAc1UCdVO11E6MAK5JC4KnyrJO1Le3bftXu7//moh8u7PcP9Q0zUXTNH+2aZrv8zbWNM0PdMtd/OzfW3JkQRAEHT3HYiTaCYAkcFI5I3rGGheii/R6wsDIy0QFsJ7MjEFOL+KoFKfZWWp66D2kG/sylkIa/7CAhFWnZEUBOCI1lB7nYUWnOIKDWXKd+qfPi3aMtMOmnSKuoxKZK+tZjiH3POJxpxotamyso129NLOCA6IFMNrnYt4rOF6ONg45sMnhr63f60Q8cB2ml6fjojFUTwQlSytdjo8Px4AaKRwbzrOVVpdFyroaKb6G7EDp5d0eUkOoZdDHjY87o/ssQBpk6hVm9IwyqXCWSuvXPJN4zvg5KDnleC8iUMHXwDeGFmia5kREfqHx1u/hf9q2bZum8Z7WX9K27U83TfPLROS0aZo/37btJ71Q27Y/LCI/LCLyYsPdVhAEwcphR6tGkMISQ+ih66NgLHX/ixh9nHRxOGap99bkrHPGXu21Mn12kUlf8zFgfDufRc5V751zGTZu2OHwFOu8lDfvnFjOlLW+Nna1oIVIrubGzo+VHgiwPqSzEVGzji+LOB30FQl1Stjm9q6IzA19HotV78Xnryad7uzkVmDit2/79wgf43TrQqZvEeWcrYtIpnWsiSHHQaeobl2IHC8WacBz0Mj8Pj0zlsP9yj3I9P07+fQiTURkQiNG9OjVmzV5dzRb/1zwnCv1vdoIUgW99MZCc+gdONWXp5mjuapUPd3kmLeLfmlWDd2796e9c25FqlNrg4rPlyB4KgxGotq23Wvb9lcZP+9F5K83TfOLRES63z/jbOOnu98/KSL/g4j8kys7giAIghVjiUhYaVGeE9BTXut+3EJ1cHyTNZaFMp9I7myl5rzd9nimHrLM2pkpqe15r/OsP9K2IByAdDKW37ZqcnSvIKuWzDLeGB1h8+o0vBlybB8ODq+rr5fnjGG/2kHS4+dt6mXZgdLHW0znkrlaXHPY3SNK/RHXPUUyjm+yc92T6qb9e+pz/P9KVOhon1bPMmsMfL2nWxc9aXpve+j9hMgJfmObSb6cIr6IBLnNsseilQ+7Hx35m16empLybo0ZCdZYypR6G/yetzzqJTmSVBNNql0uCJ4iy6bzfVNEJt3fExF5rxdomubnNU3zrd3f3yYi/4yI/G9L7jcIguDO0SlRYwQTUL+RqeUNNd+VmaHIYgM9I1cVu8OpgRHGy9ak63ipgNowSuIVxzfSfJwrAk62c/lurMdCA1oRjNXtLOOex8OpgYgeeVFAdpb0cfA6SAvTjhQ7Pfx7SA5aJG/Ci2Ut58obc/FaUYQyRQy00EFnLL97f5o5ICLSE2zo7askx985UINNgWshJT6M24u2WD3FrHo8XGM8b7gGuLexznTrYp6+5ygI9tJquzGvkixixucd0TN2VI3oNI/XUvLTCp04x1YjZjiUeObCKQqCepZ1on6/iPyLTdP8ZRHZ6/6XpmleNE3zI90yv1JELpqm+V9E5L8Xkd/ftm04UUEQPHq8Bru164oUJITHFosrtHBB+htRAzWO0hhF8qiLZUSdH90mBw/GlpbcTvLeBeUyRMvevT/NlunJXht/i/jpgDq1j50wjkLo93VNlbUNdty8ffLx6XEOHRPwolFo6Izz3hMzIaf79cFuHtGkZaZbF70+TSmlEBGZvbVeTc5K1d9IUS71YtL3CdVd8Xlkx4AnNlh9EnDKpkh3Xbr7LTnuKtV2yHEZFZEqPcfdfqrUDEt9vAr7qfnc0s+SdqqCICizlBPVtu3fbNv217dt+11d2t/f6l6/aNv2d3Z//5m2bX9127a/pvv9h1Yx8CAIgvugZAyX4J5KKXIA40wVm6f0rA6dpmcZb5kCHENpfrUS7vybX9evYZbfcrjMfe2vpzEmEYAuapYM6C7NUTc/1ZEcnTpnOTDcF4iXtd7T4+d96HX5NVZ6Ozu5TRE3jmyV0g15W9b/1jVl8Yb27XovdU1HICfb84hC5kypOjwvxU9E0rWrli2vQQmduPslKXLrPrDOL9ejwVHPorRWJA3Kl7gHaWJiKL1yFItMmBhiG+Y6RpNjjnThfA85w/yZw7+DIPBZNhIVBEHwZFkmrQWzuboXToKiMCkaoAwnN8WrNCPeNd0VsaNQntNkvcez/Ja0OtO+XU8/IBnDbLwbRp+In9Zl1Q8BL82SX8PsOiJSeE+LVPB6nqEOhyLJc5PRret0PCPUuqY6ldADzhQrNGL/2A7kztu362lMO3trdvpap4LH4hMi0k8xWyFw7qwaHtQxieTXUN8bHPnUanFJZMJJP0xOfRe9m17Ox5Lk3rl+kcG5KKU/WgydQy+lb8R2MRHB/eL0PaXbAeAcc0og/q5JBQ6Cr51wooIgCAbwhCUsEKnwJJNT6pVhhCUjR0lWI51Lbw/KfUlKeX8epRiqbeBaIV5W1//wDDUMV7Pflq7jEKcRqqGapo/bi+RYTgZfE+3Y6dl1XgepXnCsGK7Zyc6DqkXj47GMdiva5EXKsjGMNdJlnq7H9XcYU41BjP2fH932+5ytimPl3KuUTx3l9Po74f5jGX5Oc9T3k4j0GtMmhwHXriZ9j66L2dNtUdg5G7tN5UhhQmYoJTYiTUGwPOFEBUEQFPCamJZegzHL6l8AAhDJkdpfz50zMtRYPrg57DsfvE3L8NXOjv6fU9AsB4QdB0s8goEzl2pLlEHI0ZNMqADGPpwRJ+XIM/p01KmEJRDBcunnR7fZMRfT3aiGyIsiWmp8LAIikjuaWK+qdxOglMnmcK7IhzS16dZFP3Km1gc7e2umguEqad+uZ9EPxqrF0c4A1+5op3Ty6YX5HOlWA1ktFPX0YmXDbDk6x0iPg7CKiCEQsYgzxNRG/7BtJRqiI6n6by/Cx58f4WQFwTBN2z7OdkwvNpr24gcfehTBfdN8fOgRBMEwnuAEDJSUtuYZQ0r8QRvbHL1hhwX1ML3CeNoeer6I2I10OZLUvl2f10p0Tkzqu0ORlbHPZft8fpwiM+O+fT4fp1efIjKvu/IU8fTx8TElZ4HrP7r6Fp3uheWYzeuXydmzUuBMqM6NU9H0bD/LdGeRB6q/wf4wXn0dSmOYfHqR+mAx7BSm/XROvKXY5q07ePz8v0jfkVbHbD0f7OTxPTkUFSvVsnEKKe9vsr07vxZqH/z88r3D8LlGGmUvorRoKqQ+h/rc8XJqn2MiiJYjy+u7ojhfOOnzKQgqaH5IfrxtW7OQc7DZbhAEQVCGpZbbt+tFB2pnb01EFc7rbYh4tUddmtnxrIblaq8zGGl7aHbJs/VsBPJ2dz73jfSZI9LkRtnHccYUjOHNJCBwmh/3fj9Ch31tXr+UzYP8vLBTgvGjqezO5076XD7Mxn18I6KiYWfPmtTMVETm+1bO1XTrQmRrPU/XGwIOyudWZCBt6mrjg0w+vZSrvQ+Zk3CmHQ6ZH3/mWKhrBUcAjm/PgfLqgjpDuTns13ItKySR6otEMqfyjN/fW5PNTy/S/ZuicqIc4EJzWpHZPdAc3qR73jqWHTSpVky3LtJYRDWi5f1aDhqcC76+O59bOSs5OZoaBUBPXIJl0Hm545vZGAw8YQndhDcIgnoinS8IgmABvFoNs1lnx87eWtZHCNvRIgiQANfpSmm7++uZAIJ2wHh83mxyJnjRpStB6hoF6s3hzUKz0edHt6m+BWPKjttRGIPKHW8H8DniWf/UH0s19R0S3wA1suzF7UDhjfctvlIgrtvk04tiep0lbqHr3/S2PdC0WacSmgp2Yx0ona6KOqb99XT9rXtIj5nFHazmsFoCH7U/PCmgaxb5ecnQkSd17yCdcmdv/hxy6ivSDvFa1ty6VhTCwrhnUz2kVydnRKMshqJO+jPrqUahgmCVhBMVBEEwAm5I6aX5iEi/JqOjfbueFcxzpIjT96x+Q8mYpsiTFoXwGuVquW8RyVKZoHI22d7tFfivgtTkVEcZ6Nxw5ALHYzoIarY/1bV0v1OUgeBzzoY5anQyamuRqA5N15twbZHGUhTUx2I5YNgH6nK4zswVPunqorTQycJO0xDHN3O1STUO77yWjHlt/GvjHhMPLJSi128OqW8WOalp+3QO8DxiP68PduXsZNZzCo14OcLHzaVH1bIxhXODSGPPIXQ+X4bQz4r+WySU+YKglqiJCh4VURMVfEnoZrWmsh2nanXGWvNRzFQ73o71Hm+blfL0/nWtkJcad3Zyaz5zcACsmqpFQB1STeNWlmfX56Cmnki/BwVDkFLBtEw4MdgfaX/ey4jPp07RBEPpUmPSqXhfMNx5v2gyK+Kn890pdG60kmOpebUlcJDGb9T7oDZuKAqH+04LKuBeRCokXm8Ob+Ypo3SPNB+7yF03JjhlXI/XHN5kEv8iUuekDjhB1vgXhZ1+T7XvqUehoiYqGEOpJiqcqOBREU5U8CWhhRrYydAGjxZwsIrW2aiBkai3y8vVGDtcJ8KGE0QU8My9erNW3B5Sv+4SNvA0Wkxjsr07M3It8QLGECY4P+qa/ToGLgzknrqiIwji/S9iCztgDPqc6tQ1Lf6gU910NFMLWqy0UW4NjgiEVnY067CY45v59XW2zZEi65zrdD19b8Gxt5yoTDDi8jSl4Wb3THffsQpnqgXUQhO0PI6v9xq/Z7xupTWOxbt3ixH1J0g4UcEYSk5UpPMFQRAsiJYPF+kLRXDKF+oswNnJbepJNFTjpOudtOHjNc/VThrXD8FZwHJIB9Tbuw8HSiTv6zS9PE1GNJrMgp29WY8nOKPN4Y0fxSGRCK5pKUWZuOYGr6FmzHN6i7LgRroWRzX4HkmOjzM+LY2Oa2pFLvX9dqd0CoFZjZVRx4T7io/DkhW3IkxWQ+ahSBT6XulxiEjqp4TnCTVWuC7TrYtcdt8QcsB9ggmRs5Pb3r1jnatMWt66d/l+5/cXdIot55v/Zvn4kDcPgjrCiQqCIFgC7bxY0QgNjC5tmKOAXW+Xo101Bo6OiGXGtWGgY79626/erKUarrsGYhbpfwgoiPTSIWGs4n92SJjmYy7rjdqgUpqbZdBy/yFv9t67LnCQcGzJyaBoUxYBJEM9ORpchwOnkOuaOtATyhKkuDMgrkFNfvlY4FQAlpg3a7JUzVJPLlwpJ2pnTSSPaLLghOU84HllZxTbTdfteJ7il84lRZ7Au/enKRU0q79T9XOaLHJWqHPieyDrezWAFYFioZNwmoJgMcKJCoIgWAI4PRB4sNTI2GAr1TnxNj3DxpJCt5roWuttXr/MDD9EejDe86PbJJWdiRF4hprVwNRbrvA+O08sH41IgYj0FfU6VTxE0yxHAWlZyYgcob7HDgg7t9pg18a4hRUpGqx/soxkz3A+pobFXXREo8/P0o6ViqZMty7cOjPTyamNqFjLHd8kB99dpkOrOm5ev+xFJnmMkEXXqbaISm1ev+yl4kKUhdMUkX7K2y1NRpR6dp09a4ZTd517w4tAlQhhiSCoI5yoIAiCJbGcFjhTY4u0dUrdGDEHu7dUf7YZBjRLc796szaXvB5ynoClFOYt57yPJrH6GESU00ljeX2wK83hTea0VhuZ1vjpf8/RfX2wa/YH0g6LjlQhepBFZFSUiaN9mXOzSOpWd0yeIw8WFZ2Ag5EU41QanonVd2usgl23HaxbU+9lOZN4LdXYyTylEJEn7fBMtneTIiLXI2KigRUee1GlEc5iVj9nqOiZfaN4H049lU7ZK2EJygRBYBPCEsGjIoQlgqeKVTNVk0aji/J5W/y6J26h9wNBA20sZapibJzxb37PY+h9gh0ojMlSucsM5v31pKCm1d9Swbgh3GGdixIl9bLSOjxukc5ZcQQXSupz2ftjIMEDfa8tIzQBhzs7ttrtGccP0Ybe2EnBEvekJXuuFfwm28NKfdm+O2VDXB/sxxL64P3ye2ZkacT9z/e0rrezHJn2uVQ/e5zS6Ine4H1vf0+VEJYIxhDCEkEQBA9MqbcUY0VCuG8Sb4/TzERmjoguDtcqge3b9WRUo2momxblFcVLIR1t6P2Onc9tMu6QBsW9fpIIhuNocBqltW2RXLhjbIqSdjzZEeGal9J6GHfNudJGNL+/CGZKX4WEeml7C9XOOMdvbgt9y/bWssbVeCZwHeDAnD1rUpSzdkKCJw/YwWWniNNLRaQ+OjvCQdV1kbo5NZNSF4fuB0M9Euvj/OAzCOfza3KegmDVhBMVBEFwjww5UmyscqE70Olu+n8PrgtCGlKSYh6iokmqZUCWjHZdQyIimQhAJjpgSITzOiK5lHsWwTm+cfs3lYDBzmlxHHkppYoxyeBHWh+l8bHYhL52cBZG06XWlRy9RTBreyqdBi/VcrK9O0/17GrcuCcS7lNW9oNDnNW5FcaM88DOExy0yfYsLRTXmVP20K8sRb2UMp8ly87vl8bFTiB+2rfrs5/ns1RDTHB4ypg1x69rKzFxgteQwssTKkEQ1BNOVBAEwT2j5co1ltGkJYjZ4IFxaUVc3JSjkgE81HtJcmMaCmTe+xbsvFWlFDnjwHZKNVE6iuIptTG6viyrKSv0s3LHTml2IB2vcszg3I5O53Oc3cy5K6i/FberxCuqFRs7EYhUI6brjVBbJZKEH7LUQ6gQPmtkenmaS6N3Y3Ovh5JM52bUOuqDtFBMcvQcCss54nowOIMV4iXZuXOiv6wmWdyG01Mqa7rsfJ6ISDZRAGcqCII6wokKgiB4QLz+Ph61fV0yB6ew74wF08fGGNTayLQkw682PuRRpy7FS/P6YDf19hlCO06c1qTPAxuVwFPlqwJOSBdVQRpaStFS5/1q40M5ksHy7wW0Gp3IQATDSd8c6mM0BNIq2QkrjTktZzjzcEKRglfj0LLsu4hdUwgHAk4EOzC92i/+u7t+PQEITj8tqVs6DXdropBZ/7lOFAP3dMmBEpHs3o8IVBAsRjhRQRAEDwCn9Xk1O14tidfvpiShnVLkCE6ZW6ZexsPcJhmNlhOja7hEJEvJE1Gpe92M/as3a6aM987eWs8p0oajPoemUUnGP4+NFfss2CGA8lsaHxm/VamGqkFrz7E0pM8H0zWVEc+S8ajXWUmfMO14iFFnpR0snSLX4R2TPofc04mjTpy+xjV56Ls13boYlJbf+dymdEARSemA7DxNPr2YNfvV9yU9F/gb2wGlFD7dwJuPK6snLEykeJMvY9VEg+BrJpyoIAiCB0Knr9WITljAWNKGEep6itulKElWUD+ip5KHawiSES0yV4/LZs/ZgDaEA5DC2ItG7OfRHav2CvtmcQousudakquND7lyYbddnQ42KF7RGfJIX+NzrY+t6LQYsuzm68rwd7eprvHVxoelBC302OCMMZZRb6WElpa30kWtvk+A0zKxLtddsUhFdu6U87eztyaT7d1sX5NPL1I6IDtVPC59zSefXiT1SO1UQUIePzuf27Td0mSH5aDXTI5Y0eAgCIYJJyoIguAB4WjMkDFTMtSt9zii4jVCZdIM/5LOk9XcFkYyCvU5KsPRJ506ZSnXsUgAR5F4eaQ2ecDIhUIgIhJw5sxULjLydSH+oHz6/rq8PthN6Wo6xSzDqpMhFTlr21akJ9seaousOiu1/KqikmO34zlSPOarjQ9zZ4Rqs6ZbF+mcJgU/pexYNTYnzRGOjXa2GdwPSDHVYhh4D02tuekvxC540oM/E/he8xzimvPNynza0QulviAYR/SJCh4V0Scq+FqxUsgso9zsRcQNPp3lenUdug9U91pK3zJ6zhQjJEYNCyIQ3JeHxwx6rytDdrLd74HFwEh99/40RZ2s/lgi8wiWTltiYzdLF1MOlHWerd5W+lh29tbc86rH2nN0jN5PWK/n+Oo6IrrOmWOhjmnICcwU+byol9gKimn9gsqit2w2VjqOdOxqPNY9xsenU9yKva66fZ0f3ab7wxzvyW26vpNPL/J0QONcWfdCqT4qHRv1PQPeZ0TJIWKBja+R6BMVjKHUJyqcqOBREU5U8LXjNcXUsDGYNR81HKrUUJQNO2VY7+ytZY1HGasJ6ZBDxYayF81ho/r86NbtV8WfC5YjBedJOwLs2LAhzA4V1tXn0DoHpffYmcrU5YjJ9u4sItjVR2HsImKnMgJyHAadKI9un9rxsBw5zzG0HEV2ZjznyHPQrH0yPYfPcgrVc8DL8Hi0E+XBUU99X7kONqOjgqvG6QWlqZXz/xojUOFEBWOIZrtBEARfCF7DTY3u0YRULU5jq6lx0IZqUhMjQ1AbnjURKfRG6jlQhkLf0Di13Lh1fpAixXBtE/fHwbYQ3er1QFJGcFZz1SmnNYf5cXANlYeuNzKl7gvKb5YzoxvDejSHN2l5OBdalMAar37d+t8SudBqixbsqHF6Jn4m27uZOEQGJNdlniKXjo3uQVYnZNl0vU3UH3G6HvqWafGLQcW9VeDVpZHku0hfpdMTjPBgVULuTRWKfUEwTDhRQRAEj5BFZ4e5140IiS2IZKlD2ug9O7ntp3sZDo+LWs6U0ja2g1Q9kZmhbzkF08vTTBhAO1OoabLqPUoOGteweGIHuh5L9tdNBbOiTH3XSBbpXs3hTe/6svS53r+3D6yXaok8YQa61jCwrbREK9K0KDXbgIOCKKHI7FprRyC7Vw1nihUV0/3eOTuQi7dk4yfbu1mfKpF5A9rp1kXPaUUUapTwR80yKxLy6PXQqsBLD1zFPRAET51vPPQAgiAIApuhdKcEGWGvt1/Iu/enMt26mKdvCTV53e6MQRjoSOOTrm7IS3Wx6qkczHQ/Ix3L2sbVxgfZ2Vjr1QVpGXRt2GbLdqlx2pGCo9LQNvh3Kc3NdMboGEpGJ2qZJp/mfXm0E1WqzdH3gfX+DjthI6IhLGribds7vtr7syS1vXn9Us6Foq/PZw5981Fk84AEQ/Y+uM2Hp5enWb3Q5NMLmcppdg/qdXc+t7Ip8/tgfh/Nr8OZiMh+//WFo01eM96x24OiprpXLdlzET8F9exZI7J1IZNP/ev+taX4BcEiRCQqCILgkaIltDUcJUHUIkmFo0fQcb9xJxwqLX+eSXkDS0J7jNFnRUg8WW6Zy7Jb63GqVzZeFe1CWh7e5xTJnc9tqnMBKXJn7A/rpfN/fCPt265RriMGgFRGkXmkjfc33brI0qZeH+z2JN29+iLPUUGqoUgeubHECIa2N5SK59VK6fspjaEgte0Z63A0+f2SIMXZyW0WwTLTAB2Jcr62PQyZ81LULy3Dv633vP95v/ye9fxBdbEQecoEQeg31wAi6obzEA5UENQRwhLBoyKEJYIgp1ZoAvSMJpkb0qzUBwMKqVRJAt2KGIEa54lqeDyhCo0u5heRJAeuRQQ4utYblx5zl7ZoKfeJ9PtUacU3bfifH92aRekl455FLCwsdb3q5rsdpajc5NMLU7xCpwmWxCPGjEGvx2PT4hicFsnpfCIisr+eNaDlGjZ9r+L8QyDFOi4PnIvevaodpwJFoRVPdU8vY2GJwXhj2FvLxzCgOChSVlzkZ5LVL58CISwRjCHU+YIvhnCigsCGa4I0nrFoqeKxPPSQtHVmWFaovw1JaQ+B8Wijv6Sslqmy0f7wOhvigFX52MiHg+ZFTTavX5r9trSTCmDUw1FlIxRKgZlyoqO8NsahsdQZsa2h7WijWavweal7XuQK15Idn8n2rulEtc+l5yjg3GkyR0qk52QPqVr27hmSkId6ImM6Sd31QlTXOlfmPdHdk9wAuuf8GH2/eo5eSRmwlDJbkKfn9/Ux47xa1+NLI5yoYAyhzhcEQfAE0IYafnQUIatBYYW3Ttlrenma0oC8YnmuL9EiCWBnb202899tf2dvLTe+RhbMnz1r0rHoCBw7B16/qbTP7tjgQCFljhvq8v4QfYJIg1cb9O79aTrmdOwdepZ+8/plcq648SqLYmjBCr0+jl2/VkrPK6XNDRnASOvCedH70el6Q/VSuLdw3rxlrbRMPncmKmrEanVQ5Es/nZodHKfsnqE6pXfvT2Wyne+P7wco+EEFEPcXriWfH9wvEDnBD9bh5blBdG//XZNfjBXLmeeBzkfVs2dF2yjdD/D+QrUvCOZEJCp4VEQkKgh8uCHsUK2KNwuu04M4FYr7EYlIFpXppQmqZbF8ms3HPjycFCIcR4pgdGMYVBwztsdOFM4LjsXaphVVwHgYjO3d+9MUQbEa4XoRNS+1cohShGMsOq0OvbL09dXLc1SNz6seG7bVU4GkaFHqDaYiQiJ5GqImRfFUX6jJtnO/lKKoKgqYi0zcXwSGI5XpWsjsHubnXkTmEcwhrKiVF8kqvK5TaUvX5ksgIlHBGEqRqFDnC4Ig+EKA4XIup1k6kBUx4L8tg3vy6YVc7RkpgCe3SZFMpxDxOpufXsjZ1oXI1nxZOb6dvX/ZbcwwotN+jLQh/J5ILj8Ois6UkabkpUDqbcJwdlX4OtiYTrLsH0VauZF3H0/zZr5vPswbtYrv+GgnVadYFtUBl4DH8vpgV+R6dt6n0hnHxzedOl3fQdSCJ+YYEdEgYx+Ryk2Z1+LJMQlHsNNGY2Onlfc/OdiV6f5F5kDJ8Y1sbu/O7kvLUTBqjHb21kTYgSKH/L5S2Picnh/dyiRFfE5T6imWqXYCeGJhSAij4Gji3kwpwJW7D4KnTkSigkdFRKKCoB4dCfDgqAccGy07bUWa8L8uWk+ORyct3YvsFIrytUHuiUVosYn27dyYN/dn1XpU1Kzwe16kx0qZBByRAaUoURZNMGphSvVYvP1FBSCs7fKx6VojHaXhWrJsPVVLZjYtVkqBU3J0+D1dO8b7ZOERHH+6h4x6NRyHrgXkc49oTxoTxts18X1sWJMD5vNrCcSMEId5SmISTESigjGEsETwxRBOVBCMx0urYpIjpQQf2DFxnR/1elqH1NBSShilBeqokdV7KXPwRLLUIT1+GLTt2/VhJ0r6CmPYt3Z89FgQJSkpzQFrnB44R6YjZaS04Rh43zxevb+S+EMNmWOs+yrt+SmJIvN0UH0+uE+Z5XDq1E/LeNfNlfFab/8WA2qHZopcNxZLlORLQDuYGQPRuS89Va+GcKKCMYSwRBAEwRPGSq9yUek9062LVNzOPXBQwJ5exzqdAAOn4PH+UAjPBfMitkMDx4jrP/g4GKwLA7EnDiAyj2p0Yz8/us3OjXZErjY+ZAIPlnAC+lbBabja+DBzFLp9TS9PUyqgiG3Ma8EBfh2CHz2n1ejvxecEY7HGvShXGx+Kcu08BnZqWWEQ5wPL4B5iiXn0f3r3/jS/dsrAZ+dJR6BE5sd9fnSbBE4m27tZry04dXwdeT3txIuU+1p9CeB8QciiObzpObciMndc99ak+Th7/p66AxUEqyScqCAIgicGG7r4DSObVfTwP5aD8agNSKwjIiL76zOjmZp3Ti9n6XZQION9exECLPv6YDft7/XBbq8+yjo218jtjMLSutiPiJ2ax8vqGhysk5wZOgdnJ7dzpUNWg5Pc4TEjIlYD1hHKhtY2PWeaz42ltJf+Htg/lPOs68vNnPEb94fI/Py/erOWlO5EJCnTQcnQMugRzeLzqaNbfG+w82VdT2yDHTg4WE+Jd+9PZ87U9m5Slpx8eiHN4c2TO9YguC/CiQqCIHgCwDAsSWPz38lZObl1HR1LkCFzqAie6Z5enubb7WSlOV1OJI8qcBpRc9iPwujjw3j4bxiFzeFNMq5Z0pyjSQDGNRvnrw9258IHtIxZI1JwNrKmwzJX6YODxhG9LOLXnYOSYIj3uhVNs8Y0tN10nQuOaRa5Ou5HEXGMOB5+7/XBbi+CqcfD4il6v+zM8iQArpM+f/q6cWphugadc/GUozEsu/6UjzMI7oNwooIgCJ4IcE44ZcmLSiVjeiB6U8X+ulxtzNTo3D4yx/MZ71dv1uTVm7WsLxHQNUCWkAA7gnDs9LY9B8RK6dMpYtp5xBhwjJnT6RXqd9EpLJv6FXVRqrTPLo1NnwNLrMIStxhK4yuld1opk5bTlVT16Bxm26XIGTtD+hjgOHFEiB1rOEA4VkS79M+Q4AFfLwvcp+x8pQhrEARBJSFxHgRB8ISwjMvNA9s5SI7U3tpMzlr6fYs4IgOuNj7kTXdp+asNkjhXvD7YlSsx+iMd38hUTmWKnkFv10WO541PuZ4mHdP1S9khp+JcTl2j2YLPh5bQfn2wK+dymp1LyIB7CnA7e2typoU5+H9WSju+mUlzi9PLaG+tSta8pDKoncUSQ2IUVi0bw/cRb5PH8erNmlxJLheur6l2ZoG+/kn4Q/pjze7V61k7ALyOiCOik3y8O59bOdtfl/MvVEwiCIL7JyJRQRAETxwuzBexIxAcadBRqUwIgJZH+lxPLMERJ0hpfl6DWaoxwn5F5hEM7cxZkRM2+EtCDFZUx1KBw+vpNRLfcFP5dD+iDh3986JYqKeqkUrn46tZrhavXmwR56wGODb6mulr4SknWvvllD1LYETfA6b4QhAEgUM4UUEQBF8JNWldSI+zHBQ4E1ZNytnJbVI7044UIkrsPNSkD2p1Np2mpWub9GvW8fL4WZ2NDXbtrHH6GWquEp0zdfassZ0jRKB0upuXBkgOmFeHpB0I75g9hUP9v1VHx8twyuMYx4jHy6IjQ04Q1ivVRvGx4DwhzQ9j5ho0a9t83FEjFATBWMKJCoIg+ErgonJPFpuLzkvF+KhlgqHKfYRgyO7src0dKJFe088hR0obv4hIcRqbdiDYMcA4cEyIYrBjgOWHFMrYsWJFwezYHBCxy2DZ+E6OW8vPl0QgrEga0NGcUjTKqhXztjW0jSG00MfQGNh5s5xDVpzUy5fGh3sDz0MQBMEihBMVBEHwFcJGJByNmpl4LHN2cpsa3qJXFKvZMamGCs1YKcWt5Eh5DoIrOd5hqf/x+HHclqPIx8jrW2llSWrdcqAo5W+6dZG2dX50O08bo/OA7ZWwDP5SVIpfGyNGYYFojeV8W/vU11U7T5ZT5I29NCZ9XJx2yM5SSfRk0ZTHIAi+bsKJCoIg+MoZm8Z0fnTr1gMhfYsbrorM0wSvNj64Mum1cASJ07eAFe0Ys238DKX3iZQNcO0UbV6/TGPTjYhTRI9ewzqZOIMjJKH3U6qRGqqfKkWndG3cog5IjeOll9eOl5bN57RLfe20KiB49eZpS5oHQXB3hBMVBEEQjALpbGfPGpl8epEiK1xrxOl6nrHtNs3tgCMGPCOZ07LYOLciTXCQ9GtMrQN2ftQ12HWibIB7YDGZ1Lz009N4PDWCDpzqWMtQ3ZT1Gqd0evvyrqu+F/hvfS6sscDZtMRJdMqlSL85L7bRvl3PGgAHQRCMJZyoIAiCYBSI/kw+vciiTjzb33yU1CvJM7aHIhm6jkir9Fmqg6VteulclkOmIxme48UqhSIzh2myvSuTTy+Soc+1ZIyV3maJPSDiMjbq4y0/ZjuWeuHQNkqO2JCDx9GoUoTIcqC0AMZ06yL1I0NvrvbtetpHr04tCIJgBOFEBUEQBKPh2iJEWuAsIFow2d7NIjNwcNjRKRnK2oHRy6LORadsWWl4MLK9FD1vLEOpXlYtGRQAm8ObXqTDcpY81TyN1wfKW8erMaqNVGknTysZjhGj0GmIOmqG/0siESXlRa3UeHZy2xMvmW5dpPq1cKCCIFiWcKKCIAiCpYAToetL3r0/NdO6YMhfbXyQ9u16qo+Cmt9ke1eaj75TM926mEUUTmbpdNPL08zhen2w23Nu2OjXTXS9CJU+Pv2aFisoOWh87Pzbe5/hc8hOQa3jVBrLIjVNHA3E/zVpgFbfLnashkQyvJRGfh33R4J7j3XqkOFABUGwCr7x0AMIgiAIvnxeH+yKXItsHohMT06loddE+kZzj/11OT+8kXM57Tk22olBPRaDbZciR9qpwnoY/1DUqeccXfcbuuL/Uq0NS7SPZedzK1IhWz422jTkBKXo0UF5XzpiNTSemmX0shZY/9WbtWIPrnCggiBYFRGJCoIgCJZmejlLYZte5o4InKezk75TgboqkZlzYEWFdNRIZJZC1xzepNqjyfaunD1rFlJZY0EKTkXU6G3DoIdiHtYvOWM6Bc6Kviwrt12TClh6fwzsGJdELYacH5F6hUgtSqH32bvP0Lw4HKggCFZMOFFBEATBSmAD1mt6ahnzm9cv5exZ05NFR1RH10TpyM+796fJGatJz9OgES/GUlof+7McBu1M6fd4GzW9lkoiGaXaJh0ZqkmD0++V/h5yyMaCc44+VNb7vH/rf89RF5FwoIIguBPCiQqCIAiWR0l7s/jA+dGt7OytJSeJG92mCERXs8KRrJKanhex8hro1qDHxDVPHKGyVOqGHIrzo9ssSoVzU5PGNsZZqXVwWPGvJJ9updtpB5hr3GrGbEXj4Hxa27DGZDlSXu+x1Nw4CIJghYQTFQRBECxF+7bfGwmS0gAqflwrVEp/Y2fGUmq7D1icAkY7G/p436p/ssbsOXe1TtLY5UqRJharGJKGr9mfty9LRbCUwliKOunt6+1YTaC9Hl1BEATLEk5UEARBsBQ7n9t5MT+MWCrutyTK2XnKnI39meqeJV3O3LdhzE6dJ2sOOB1xaJv820sP5JS1RamNmFnLew4SOzK1qYU1kaYx6Gheijrtr7sKj0EQBKsgnKggCIJgYV4f7OZKeZ4ymgFS5JDCN9nelebwZtaoV/rpdY+B0li4tgrpe7Xb8+qBhhjTY6okiV6bBljj+FgOm/Wa5zTy/WSNe7BPVtRABUFwD4QTFQRBECxM6gWl0qh29tZ6ERl2KmAsa8EFXsZTynvMYMw1kukaNOkFrHo3Fk8lr+T81Pau0uOyVAe9ffM5GRMd0/tk54+l5a82PoQDFQTBvRBOVBAEQbAQvUgLOVKIJkwvT6V9uy7t8+7v5yLt807J7/jGVVTzao0eO8umqLFQA9BRIu1MLJMOV4uVwoexwHnR18sa9+uDXVPMgv9HvRbuoSFhifbtenJev8R7JgiCL5NwooIgCIKF4FS0yacXeV2U/nt/vRet0sAp07+/JLQQxarXL/ViGpIfH4pq1dZdaUcPkSgdOWRHTzt9nqS7yNx5QlPlkkQ7lrXq5oIgCO6Sbzz0AIIgCIIvn3fvT0WgXPe5lTOZGcM7n1uRvbXZa14fn47p5anI/noSB/hSjeLzo1s5l8XHvqr+S5qSyIO3vFdHxa+/erMmV9KXHef9WFLp1tjOnjUzp3tvLf19tdd3DJEOuvO57aJPX+a9EgTBl0tEooIgCIKVgBQ89IWS4xs5e9aMS7EaIUzxVNFiGpaqXUn+W6Q+nXCsw4Zolu53hX3W1F1xRKx3b3RRy7OTLrq5v57VXmEMuQMVBEFw/4QTFQRBEKyc86NbmWzvys7nNqXlTbZ3Z6/traXfPQZS/r4mdCTOS4Er9YWqUdHTWLVMepuog9INcvWYhpw5TtnMVB67+4Ab5b56s5YcyHCggiB4aCKdLwiCILgTUs2U5L/570ZmxjFSt3Y+t7J57yN9vJi9tKRcM6Up1UnVRI1K6XfeenpMljiEHtNOlwa687nN1rHkzL/UVM8gCJ4OTdu2w0t5KzfNbxGRf09EfqWIfE/bthfOct8rIv+xiHyLiPxI27a/f2jbLzaa9uIHFx5a8IWC/jBBEARBnzFiG5Yz4y03JFGu8VIMh94rbSPVQ8nsuwBCFTy2cJ6CZWmfP/QIgi+J5ofkx9u2fWG9t2w6318QkX9JRM7cnTfNt4jIHxSR3ygi3y0iv61pmu9ecr9BEARB8NXBTsSq6p4sp2doGyV1PY23rCtjv7+enEVL8j0IguAxsJQT1bbtX2rb9nJgse8RkZ9o2/Yn27b9LCJ/REQOltlvEARBEARlakUjrJ5UY7dv9Y+qAX2jRCRFoXY+t1lfKpFZjV1EoYIgeEzch7DEd4jINf3/U91rPZqm+YGmaS6aprn42b93DyMLgiAIgi+UUnSoNpXPW3/s/rzXS1EtiFIMiV/cleR7EATBMgwKSzRNcyIiv9B46/e0bft+lYNp2/aHReSHRWY1UavcdhAEQRB8bQw5ICXxCL3cGEo1Ue629tdnfcUUEYEKguAxMhiJatt2r23bX2X81DpQPy0iG/T/d3avBUEQBEGwIthhWiZ6U1PvVLP9GueM0Q4UR6yCIAgeG/eRzvdBRL6raZrNpmmeichvFZFv3sN+gyAIguDJcZeRGe4NNdTMt2YZ/m3txyNqoIIgeOws1SeqaZrfLCL/qYj8AhH5k03T/Lm2bX9D0zT/uMykzPfbtv25pmneiMifkpnE+R9u2/YvLj3yIAiCIPhKqXEwaiI4iBYN9Z0a2yuqBksWHftDH7FwpIIgeKwsq873x9u2/c62bb+1bdtvb9v2N3Sv/59t2+7Tcsdt2/6Ktm232rb9fcsOOgiCIAiCMos6ICXVvWUpRaDwXjhOQRB8CdxHOl8QBEEQBA9AjUMypr/TMgzVSL17fxoOVBAEXwzhRAVBEATBE2YVjsldyoyPFaAIgiB4DCxVExUEQRAEwdNmWSfHUw0sCU8EQRA8diISFQRBEARPnFXUR3nvlxrqDqUKRjPdIAi+VJq2fZw9bV9sNO3FDz70KIL7pvn40CMIgiB4uizTc0lHjGqdH27oq9eJGqjgvmmfP/QIgi+J5ofkx9u2fWG9F+l8QRAEQfCV4Dkttc7Vsql94TQFQfBUCCcqCIIgCL5ySs4NHKyhFL0hzo9uF1ovCILgMRJOVBAEQRAELmOiRxzR4rqnIAiCp0YISwRBEARBcCdEA90gCJ4q4UQFQRAEQbAS2FnavH4ZDXSDIHiyRDpf8KgI1ZwgCIIvnMu50zSNz/QgCJ4oEYkKgiAIgiAIgiAYQThRQRAEQRAEQRAEIwgnKgiCIAiCIAiCYAThRAVBEARBEARBEIwgnKggCIIgCIIgCIIRhBMVBEEQBEEQBEEwgnCigiAIgiAIgiAIRhBOVBAEQRAEQRAEwQjCiQqCIAiCIAiCIBhBOFFBEARBEARBEAQjCCcqCIIgCIIgCIJgBOFEBUEQBEEQBEEQjCCcqCAIgiAIgiAIghGEExUEQRAEQRAEQTCCcKKCIAiCIAiCIAhGEE5UEARBEARBEATBCJq2bR96DCZN0/ysiPyVhx5HcOd8m4j8jYceRPBFEvdOsAhx3wSLEPdNsAhx33z5/JK2bX+B9cajdaKCr4OmaS7atn3x0OMIvjzi3gkWIe6bYBHivgkWIe6bp02k8wVBEARBEARBEIwgnKggCIIgCIIgCIIRhBMVPDQ//NADCL5Y4t4JFiHum2AR4r4JFiHumydM1EQFQRAEQRAEQRCMICJRQRAEQRAEQRAEIwgnKgiCIAiCIAiCYAThRAV3StM0f7hpmp9pmuYv0Gs/v2maP900zV/ufv+87vWmaZr/pGman2ia5n9tmubXPdzIg4dk5H3zvGma/6lpmv+naZoferhRBw/NyPvmX+0+Z/580zR/pmmaX/NwIw8ekpH3zUF33/y5pmkumqb5Zx9u5MFDMua+ofdfNk3zc03TfP/9jzhYNeFEBXfNj4rI96rXfreI/Fjbtt8lIj/W/S8i8htF5Lu6nx8Qkf/8nsYYPD5+VOrvm78lIv+WiPwH9za64LHyo1J/31yJyD/Xtu2vFpHfK1EA/jXzo1J/3/yYiPyatm1/rYj86yLyI/c0xuDx8aNSf99I0zTfIiJ/QET+u/saYHC3hBMV3Clt257JzMhlDkRk2v09FZHvo9fftTP+rIj8o03T/KJ7GWjwqBhz37Rt+zNt234Qkf/33gYYPEpG3jd/pm3bv929/mdF5DvvY4zB42PkffN327ki1z8sIqHO9ZUy0r4REfk3ReS/EpGfufPBBfdCOFHBQ/Dtbdv+1e7vvyYi3979/R0ick3L/VT3WhCI+PdNEJSouW9+h4j8t/c3pOALwL1vmqb5zU3TfBSRPymzaFQQAPO+aZrmO0TkN0tk2DwpwokKHpRuRi9m8oJRxH0TLIJ13zRN8y/IzIn6XQ8yqODRo++btm3/eNu2z2UWZfi9DzWu4HGj7pv/SER+V9u2/+DhRhSsmnCigofgryNNr/uN0PZPi8gGLfed3WtBIOLfN0FQwr1vmqb5J2RW03LQtu3ffKDxBY+Twc+bLp3rlzVN8233Pbjg0eLdNy9E5I80TfN/iMj3i8h/1jTN9z3ICIOVEU5U8BB8U0Qm3d8TEXlPr7/uVPr+aRH5OxQWDwLvvgmCEuZ90zTNLxaR/1pEfnvbtv/7A40teLx4980vb5qm6f7+dSLyrSISDngAzPumbdvNtm1/adu2v1RE/piI/Btt2/6JBxlhsDKaeX1kEKyepmn+CxH550Xk20Tkr4vIvysif0JE/qiI/GIR+Ssi8q+0bfu3ui+mI5mp3fxfIvKvtW178QDDDh6YkffNLxSRCxFZF5F/ICJ/V0S+u23bm/sfefCQjLxvfkRE/uXuNRGRn2vb9sV9jzl4eEbeN79LRF7LTMjm74vIv9227f/4AMMOHpgx941a70dF5L9p2/aP3eNwgzsgnKggCIIgCIIgCIIRRDpfEARBEARBEATBCMKJCoIgCIIgCIIgGEE4UUEQBEEQBEEQBCMIJyoIgiAIgiAIgmAE4UQFQRAEQRAEQRCMIJyoIAiCIAiCIAiCEYQTFQRBEARBEARBMIL/HzXwnFOKB55kAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#check calculated risk map\n",
"\n",
"custom_cmap = ListedColormap([\"darkgreen\",\"#5eb342\",\"#3dd00d\",\"#ffd60e\",\"darkorange\"])\n",
"\n",
"# Legend\n",
"# 1 Primary Forest\n",
"# 2 Logged over Forest\n",
"# 3 Degraded or regenerating Forest\n",
"# 4 Other plantations\n",
"# 5 Palm oil plantations\n",
"\n",
"with rio.open(file) as src:\n",
" image_array = src.read(1)\n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" rio.plot.show(image_array, vmin=0, vmax=5, cmap=custom_cmap, ax=ax, transform=src.transform)\n",
" ax.set_title('Baseline tree cover 2019')\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "8127563f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['/IDN_Riau_ChangeDetection_ForestAndPlantations.tif']"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Forest change\n",
"\n",
"files = [f\"/{f}\" for f in os.listdir(change_path) if '.tif' in f]\n",
"files"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "e57ce4aa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Driver: GTiff/GeoTIFF',\n",
" 'Files: ../../datasets/raw/satelligence_sample_data/change_detection/IDN_Riau_ChangeDetection_ForestAndPlantations.tif',\n",
" 'Size is 14063, 14995',\n",
" 'Coordinate System is:',\n",
" 'GEOGCRS[\"WGS 84\",',\n",
" ' DATUM[\"World Geodetic System 1984\",',\n",
" ' ELLIPSOID[\"WGS 84\",6378137,298.257223563,',\n",
" ' LENGTHUNIT[\"metre\",1]]],',\n",
" ' PRIMEM[\"Greenwich\",0,',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' CS[ellipsoidal,2],',\n",
" ' AXIS[\"latitude\",north,',\n",
" ' ORDER[1],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' AXIS[\"longitude\",east,',\n",
" ' ORDER[2],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' ID[\"EPSG\",4326]]',\n",
" 'Data axis to CRS axis mapping: 2,1',\n",
" 'Origin = (100.024529999999999,2.918900000000000)',\n",
" 'Pixel Size = (0.000269494417976,-0.000269495165055)',\n",
" 'Metadata:',\n",
" ' AREA_OR_POINT=Area',\n",
" 'Image Structure Metadata:',\n",
" ' COMPRESSION=DEFLATE',\n",
" ' INTERLEAVE=BAND',\n",
" ' PREDICTOR=2',\n",
" 'Corner Coordinates:',\n",
" 'Upper Left ( 100.0245300, 2.9189000) (100d 1\\'28.31\"E, 2d55\\' 8.04\"N)',\n",
" 'Lower Left ( 100.0245300, -1.1221800) (100d 1\\'28.31\"E, 1d 7\\'19.85\"S)',\n",
" 'Upper Right ( 103.8144300, 2.9189000) (103d48\\'51.95\"E, 2d55\\' 8.04\"N)',\n",
" 'Lower Right ( 103.8144300, -1.1221800) (103d48\\'51.95\"E, 1d 7\\'19.85\"S)',\n",
" 'Center ( 101.9194800, 0.8983600) (101d55\\'10.13\"E, 0d53\\'54.10\"N)',\n",
" 'Band 1 Block=14063x1 Type=Float32, ColorInterp=Gray',\n",
" ' NoData Value=-3.4028234663852886e+38']"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"file = change_path + files[0]\n",
"\n",
"#explore datasets info for calculation - the three raster need to have the same extent and projection\n",
"change_info = !gdalinfo $file\n",
"change_info"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "1a54b8c2",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#check calculated risk map\n",
"\n",
"# Values in format YYYY-jjj e.g. 2019074 where jjj = julian day from 1-366\n",
"\n",
"with rio.open(file) as src:\n",
" image_array = src.read(1)\n",
" meta = src.meta\n",
" profile = src.profile\n",
" \n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" rio.plot.show(image_array, vmin=0, vmax=5, cmap='Blues', ax=ax, transform=src.transform)\n",
" ax.set_title('Change')\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "b53a2a94",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"src = rio.open(file)\n",
"show_hist(\n",
" src, bins=50, lw=0.0, stacked=False, alpha=0.3,\n",
" histtype='stepfilled', title=\"Histogram\")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "639b6cd9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(14995, 14063)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"image_array.shape"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "d9a290d2",
"metadata": {},
"outputs": [],
"source": [
"## Set values to year\n",
"loss2018_array = image_array.copy()\n",
"\n",
"loss2018_array[(loss2018_array >= 2018000) & (loss2018_array < 2019000)] = 1\n",
"loss2018_array[loss2018_array >= 2019000] = 0"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "918073ff",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Change')"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"custom_cmap = ListedColormap([\"white\", \"#f69\"])\n",
"\n",
"fig, ax = plt.subplots(figsize=[15,10])\n",
"rio.plot.show(loss2018_array, vmin=0, vmax=1, cmap=custom_cmap, ax=ax, transform=src.transform)\n",
"ax.set_title('Change')"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "004d5979",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"['change_detection',\n",
" '.DS_Store',\n",
" 'IND_Riau_outline.prj',\n",
" 'forest_and_plantation_baseline',\n",
" 'carbonstock',\n",
" 'IDN_Riau_outline.geojson',\n",
" 'IND_Riau_outline.shx',\n",
" 'IND_Riau_outline.shp',\n",
" 'IND_Riau_outline.cpg',\n",
" 'IND_Riau_outline.dbf',\n",
" 'IDN_Riau_Baseline_2019']"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"output_path = '../../datasets/processed/'\n",
"\n",
"os.listdir(input_path)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "0cb2ec62",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'count': 1,\n",
" 'crs': CRS.from_dict(init='epsg:4326'),\n",
" 'driver': 'GTiff',\n",
" 'dtype': 'float32',\n",
" 'height': 14995,\n",
" 'nodata': -3.4028234663852886e+38,\n",
" 'transform': Affine(0.0002694944179762499, 0.0, 100.02453,\n",
" 0.0, -0.00026949516505501834, 2.9189),\n",
" 'width': 14063}"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"meta"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "9cde90d8",
"metadata": {},
"outputs": [],
"source": [
"## Save as rio dataset\n",
"defor_path = output_path + 'sat_loss_2018.tif'\n",
"with rasterio.open(defor_path, \"w\", **profile) as dest:\n",
" dest.write(loss2018_array, 1)\n",
" \n",
"loss2018_array = None"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "f4a820aa",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# open again\n",
"\n",
"custom_cmap = ListedColormap([\"white\", \"#f69\"])\n",
"\n",
"with rio.open(defor_path) as src:\n",
" image_array = src.read(1)\n",
" meta = src.meta\n",
" profile = src.profile\n",
" \n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" rio.plot.show(image_array, vmin=0, vmax=1, cmap=custom_cmap, ax=ax, transform=src.transform)\n",
" ax.set_title('Loss 2018')\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "cca02019",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"src = rio.open(defor_path)\n",
"show_hist(\n",
" src, bins=50, lw=0.0, stacked=False, alpha=0.3,\n",
" histtype='stepfilled', title=\"Histogram\")"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "3f52600e",
"metadata": {},
"outputs": [],
"source": [
"## Dump cache\n",
"image_array = None"
]
},
{
"cell_type": "markdown",
"id": "77b41d3e",
"metadata": {},
"source": [
"### Calculation of Commodity-driven Deforestation Risk (risk map)\n",
"\n",
"Using the Harvested Area fraction (f) from Earthstat, Deforestation Risk (Dr) is the binary Deforestation pixels (D) multiplied by the Harvested Area fraction (f), and gives a naive likelihood that the deforestation event is a result of the commodity. \n",
"\n",
"`Dr = f.D`\n",
"\n",
"This is indipendent of yeild or volume and gives a general indication of deforesation risk."
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "d7857677",
"metadata": {},
"outputs": [],
"source": [
"ha_fraction_path = '../../datasets/raw/cotton_HarvestedAreaFraction.tif'"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "f7820c19",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Driver: GTiff/GeoTIFF',\n",
" 'Files: ../../datasets/processed/sat_loss_2018.tif',\n",
" 'Size is 14063, 14995',\n",
" 'Coordinate System is:',\n",
" 'GEOGCRS[\"WGS 84\",',\n",
" ' DATUM[\"World Geodetic System 1984\",',\n",
" ' ELLIPSOID[\"WGS 84\",6378137,298.257223563,',\n",
" ' LENGTHUNIT[\"metre\",1]]],',\n",
" ' PRIMEM[\"Greenwich\",0,',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' CS[ellipsoidal,2],',\n",
" ' AXIS[\"latitude\",north,',\n",
" ' ORDER[1],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' AXIS[\"longitude\",east,',\n",
" ' ORDER[2],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' ID[\"EPSG\",4326]]',\n",
" 'Data axis to CRS axis mapping: 2,1',\n",
" 'Origin = (100.024529999999999,2.918900000000000)',\n",
" 'Pixel Size = (0.000269494417976,-0.000269495165055)',\n",
" 'Metadata:',\n",
" ' AREA_OR_POINT=Area',\n",
" 'Image Structure Metadata:',\n",
" ' COMPRESSION=DEFLATE',\n",
" ' INTERLEAVE=BAND',\n",
" 'Corner Coordinates:',\n",
" 'Upper Left ( 100.0245300, 2.9189000) (100d 1\\'28.31\"E, 2d55\\' 8.04\"N)',\n",
" 'Lower Left ( 100.0245300, -1.1221800) (100d 1\\'28.31\"E, 1d 7\\'19.85\"S)',\n",
" 'Upper Right ( 103.8144300, 2.9189000) (103d48\\'51.95\"E, 2d55\\' 8.04\"N)',\n",
" 'Lower Right ( 103.8144300, -1.1221800) (103d48\\'51.95\"E, 1d 7\\'19.85\"S)',\n",
" 'Center ( 101.9194800, 0.8983600) (101d55\\'10.13\"E, 0d53\\'54.10\"N)',\n",
" 'Band 1 Block=14063x1 Type=Float32, ColorInterp=Gray',\n",
" ' NoData Value=-3.4028234663852886e+38']"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"info = !gdalinfo $defor_path\n",
"info"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "bd132060",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Input file size is 4320, 2160\r\n",
"ERROR 1: PROJ: proj_create_from_database: Cannot find proj.db\r\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\r\n"
]
}
],
"source": [
"## projwin: upper left and lower right of the raster that we want to use for clipping the other rasters\n",
"# e.g. !gdal_translate -projwin <ul_lat> <ul_lon> <lr_lat> <lr_lon>\n",
"\n",
"## -of GTiff: geotiff we want to clip - change extent\n",
"# e.g. -of GTiff <input> <output>\n",
"\n",
"clipped_output = '../../datasets/processed/cotton_HarvestedAreaFraction_clipped.tif'\n",
"\n",
"!gdal_translate -projwin 100.0245300 2.9189000 103.8144300 -1.1221800 -of GTiff $ha_fraction_path $clipped_output"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "3e40add9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Driver: GTiff/GeoTIFF',\n",
" 'Files: ../../datasets/processed/cotton_HarvestedAreaFraction_clipped.tif',\n",
" 'Size is 45, 48',\n",
" 'Coordinate System is:',\n",
" 'GEOGCRS[\"WGS 84\",',\n",
" ' DATUM[\"World Geodetic System 1984\",',\n",
" ' ELLIPSOID[\"WGS 84\",6378137,298.257223563,',\n",
" ' LENGTHUNIT[\"metre\",1]]],',\n",
" ' PRIMEM[\"Greenwich\",0,',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' CS[ellipsoidal,2],',\n",
" ' AXIS[\"latitude\",north,',\n",
" ' ORDER[1],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' AXIS[\"longitude\",east,',\n",
" ' ORDER[2],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' ID[\"EPSG\",4326]]',\n",
" 'Data axis to CRS axis mapping: 2,1',\n",
" 'Origin = (99.999999999984084,2.999999999994714)',\n",
" 'Pixel Size = (0.083333333333329,-0.083333333333329)',\n",
" 'Metadata:',\n",
" ' AREA_OR_POINT=Area',\n",
" ' TIFFTAG_SOFTWARE=MATLAB 8.0, Mapping Toolbox 3.6',\n",
" 'Image Structure Metadata:',\n",
" ' INTERLEAVE=BAND',\n",
" 'Corner Coordinates:',\n",
" 'Upper Left ( 100.0000000, 3.0000000) (100d 0\\' 0.00\"E, 3d 0\\' 0.00\"N)',\n",
" 'Lower Left ( 100.0000000, -1.0000000) (100d 0\\' 0.00\"E, 1d 0\\' 0.00\"S)',\n",
" 'Upper Right ( 103.7500000, 3.0000000) (103d45\\' 0.00\"E, 3d 0\\' 0.00\"N)',\n",
" 'Lower Right ( 103.7500000, -1.0000000) (103d45\\' 0.00\"E, 1d 0\\' 0.00\"S)',\n",
" 'Center ( 101.8750000, 1.0000000) (101d52\\'30.00\"E, 1d 0\\' 0.00\"N)',\n",
" 'Band 1 Block=45x45 Type=Float32, ColorInterp=Gray']"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"info = !gdalinfo $clipped_output\n",
"info"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "8bc866fa",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"src = rio.open(clipped_output)\n",
"show_hist(\n",
" src,\n",
" bins=50, lw=0.0, stacked=False, alpha=0.3,\n",
" histtype='stepfilled', title=\"Histogram\")\n"
]
},
{
"cell_type": "code",
"execution_count": 81,
"id": "6e776e38",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"with rio.open(clipped_output) as src:\n",
" image_array = src.read(1)\n",
" meta = src.meta\n",
" profile = src.profile\n",
" \n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" rio.plot.show(image_array, vmin=0, vmax=4e-4, cmap='Blues', ax=ax, transform=src.transform)\n",
" ax.set_title('Clipped f')"
]
},
{
"cell_type": "code",
"execution_count": 85,
"id": "c5212695",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.19197920776917954"
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## Inspect total area fraction\n",
"sum(image_array[~np.isnan(image_array)])"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "38239cf1",
"metadata": {},
"outputs": [],
"source": [
"## Resample and multiply"
]
},
{
"cell_type": "code",
"execution_count": 91,
"id": "0c182197",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ERROR 1: PROJ: proj_create_from_database: Cannot find proj.db\n",
"ERROR 1: PROJ: proj_create_from_database: Cannot find proj.db\n",
"ERROR 1: PROJ: proj_create_from_database: Cannot find proj.db\n",
"Creating output file that is 13915P x 14843L.\n",
"Processing ../../datasets/processed/cotton_HarvestedAreaFraction_clipped.tif [1/1] : 0..ERROR 1: PROJ: proj_create_from_database: Cannot find proj.db\n",
".10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"resampled_output = '../../datasets/processed/cotton_HarvestedAreaFraction_resampled_30m.tif'\n",
"!gdalwarp -tr 0.000269494417976 0.000269495165055 -r near -of GTiff $clipped_output $resampled_output"
]
},
{
"cell_type": "code",
"execution_count": 92,
"id": "b036cf7c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Driver: GTiff/GeoTIFF',\n",
" 'Files: ../../datasets/processed/cotton_HarvestedAreaFraction_resampled_30m.tif',\n",
" 'Size is 13915, 14843',\n",
" 'Coordinate System is:',\n",
" 'GEOGCRS[\"WGS 84\",',\n",
" ' DATUM[\"World Geodetic System 1984\",',\n",
" ' ELLIPSOID[\"WGS 84\",6378137,298.257223563,',\n",
" ' LENGTHUNIT[\"metre\",1]]],',\n",
" ' PRIMEM[\"Greenwich\",0,',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' CS[ellipsoidal,2],',\n",
" ' AXIS[\"latitude\",north,',\n",
" ' ORDER[1],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' AXIS[\"longitude\",east,',\n",
" ' ORDER[2],',\n",
" ' ANGLEUNIT[\"degree\",0.0174532925199433]],',\n",
" ' ID[\"EPSG\",4326]]',\n",
" 'Data axis to CRS axis mapping: 2,1',\n",
" 'Origin = (99.999999999984084,2.999999999994714)',\n",
" 'Pixel Size = (0.000269494417976,-0.000269495165055)',\n",
" 'Metadata:',\n",
" ' AREA_OR_POINT=Area',\n",
" ' TIFFTAG_SOFTWARE=MATLAB 8.0, Mapping Toolbox 3.6',\n",
" 'Image Structure Metadata:',\n",
" ' INTERLEAVE=BAND',\n",
" 'Corner Coordinates:',\n",
" 'Upper Left ( 100.0000000, 3.0000000) (100d 0\\' 0.00\"E, 3d 0\\' 0.00\"N)',\n",
" 'Lower Left ( 100.0000000, -1.0001167) (100d 0\\' 0.00\"E, 1d 0\\' 0.42\"S)',\n",
" 'Upper Right ( 103.7500148, 3.0000000) (103d45\\' 0.05\"E, 3d 0\\' 0.00\"N)',\n",
" 'Lower Right ( 103.7500148, -1.0001167) (103d45\\' 0.05\"E, 1d 0\\' 0.42\"S)',\n",
" 'Center ( 101.8750074, 0.9999416) (101d52\\'30.03\"E, 0d59\\'59.79\"N)',\n",
" 'Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray']"
]
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"info = !gdalinfo $resampled_output\n",
"info"
]
},
{
"cell_type": "code",
"execution_count": 93,
"id": "6eb430eb",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"with rio.open(resampled_output) as src:\n",
" image_array = src.read(1)\n",
" meta = src.meta\n",
" profile = src.profile\n",
" \n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" rio.plot.show(image_array, vmin=0, vmax=4e-4, cmap='Blues', ax=ax, transform=src.transform)\n",
" ax.set_title('Resampled f')"
]
},
{
"cell_type": "code",
"execution_count": 94,
"id": "01fc62e9",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"src = rio.open(resampled_output)\n",
"show_hist(\n",
" src,\n",
" bins=50, lw=0.0, stacked=False, alpha=0.3,\n",
" histtype='stepfilled', title=\"Histogram\")\n"
]
},
{
"cell_type": "code",
"execution_count": 95,
"id": "5cd19d50",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"18357.141913586125"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## Inspect total resampled area fraction\n",
"sum(image_array[~np.isnan(image_array)])"
]
},
{
"cell_type": "code",
"execution_count": 123,
"id": "c2e1e5d0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Input file size is 14063, 14995\n",
"ERROR 1: PROJ: proj_create_from_database: Cannot find proj.db\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n",
"Input file size is 13915, 14843\n",
"Warning 1: Computed -srcwin 91 300 14063 14995 falls partially outside raster extent. Going on however.\n",
"ERROR 1: PROJ: proj_create_from_database: Cannot find proj.db\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"## Had to clip both to match\n",
"\n",
"defor_clipped_output = '../../datasets/processed/defor_clipped.tif'\n",
"reclipped_output = '../../datasets/processed/cotton_HarvestedAreaFraction_resampled_clipped.tif'\n",
"\n",
"!gdal_translate -projwin 100.0245300 2.9189000 103.8144300 -1.1221800 -of GTiff $defor_path $defor_clipped_output\n",
"!gdal_translate -projwin 100.0245300 2.9189000 103.8144300 -1.1221800 -of GTiff $resampled_output $reclipped_output"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "25eb2175",
"metadata": {},
"outputs": [],
"source": [
"## Now generate area raster"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "209808fa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['change_detection',\n",
" '.DS_Store',\n",
" 'IND_Riau_outline.prj',\n",
" 'forest_and_plantation_baseline',\n",
" 'carbonstock',\n",
" 'IDN_Riau_outline.geojson',\n",
" 'IND_Riau_outline.shx',\n",
" 'IND_Riau_outline.shp',\n",
" 'IND_Riau_outline.cpg',\n",
" 'IND_Riau_outline.dbf',\n",
" 'IDN_Riau_Baseline_2019']"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"input_path = '../../datasets/raw/satelligence_sample_data'\n",
"\n",
"os.listdir(input_path)"
]
},
{
"cell_type": "code",
"execution_count": 97,
"id": "6155105d",
"metadata": {},
"outputs": [],
"source": [
"aoi_path = input_path + '/IND_Riau_outline.shp'"
]
},
{
"cell_type": "code",
"execution_count": 56,
"id": "3f652c64",
"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>fid</th>\n",
" <th>GID_0</th>\n",
" <th>NAME_0</th>\n",
" <th>GID_1</th>\n",
" <th>NAME_1</th>\n",
" <th>VARNAME_1</th>\n",
" <th>NL_NAME_1</th>\n",
" <th>TYPE_1</th>\n",
" <th>ENGTYPE_1</th>\n",
" <th>CC_1</th>\n",
" <th>HASC_1</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>24</td>\n",
" <td>IDN</td>\n",
" <td>Indonesia</td>\n",
" <td>IDN.24_1</td>\n",
" <td>Riau</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Propinisi</td>\n",
" <td>Province</td>\n",
" <td>14</td>\n",
" <td>ID.RI</td>\n",
" <td>MULTIPOLYGON (((103.41634 -0.67546, 103.41668 ...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" fid GID_0 NAME_0 GID_1 NAME_1 VARNAME_1 NL_NAME_1 TYPE_1 \\\n",
"0 24 IDN Indonesia IDN.24_1 Riau None None Propinisi \n",
"\n",
" ENGTYPE_1 CC_1 HASC_1 geometry \n",
"0 Province 14 ID.RI MULTIPOLYGON (((103.41634 -0.67546, 103.41668 ... "
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = gpd.read_file(aoi_path)\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 99,
"id": "777c799e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.09000000000000001"
]
},
"execution_count": 99,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"area_path = '../../datasets/processed/idn_pixel_area.tif'\n",
"\n",
"## Naive assumption that all pixels are constant area (ignore proj for now)\n",
"pixel_area = 30*30*1e-4\n",
"pixel_area"
]
},
{
"cell_type": "code",
"execution_count": 106,
"id": "98892d62",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ERROR 1: PROJ: proj_identify: Cannot find proj.db\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"##Create area raster \n",
"!gdal_rasterize -l IND_Riau_outline -burn $pixel_area -tr 0.000269494417976 0.000269495165055 -a_nodata 0.0 -te 100.0245300 -1.1221800 103.8144300 2.9189000 -ot Float32 -of GTiff $aoi_path $area_path\n"
]
},
{
"cell_type": "code",
"execution_count": 108,
"id": "8d880a6a",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"with rio.open(area_path) as src:\n",
" image_array = src.read(1)\n",
" meta = src.meta\n",
" profile = src.profile\n",
" \n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" rio.plot.show(image_array, vmin=0, vmax=4e-4, cmap='Blues', ax=ax, transform=src.transform)\n",
" ax.set_title('Area')"
]
},
{
"cell_type": "code",
"execution_count": 125,
"id": "e0adbb3e",
"metadata": {},
"outputs": [],
"source": [
"with rio.open(defor_clipped_output) as src:\n",
" hf_array = src.read(1)\n",
" meta1 = src.meta\n",
" profile1 = src.profile\n",
" \n",
"with rio.open(reclipped_output) as src:\n",
" defor_array = src.read(1)\n",
" meta2 = src.meta\n",
" profile2 = src.profile\n",
" \n",
"with rio.open(area_path) as src:\n",
" area_array = src.read(1)\n",
" meta3 = src.meta\n",
" profile3 = src.profile"
]
},
{
"cell_type": "code",
"execution_count": 126,
"id": "330ff9b0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" ...,\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)"
]
},
"execution_count": 126,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"defor_array[np.isnan(defor_array)] = 0\n",
"defor_array"
]
},
{
"cell_type": "code",
"execution_count": 127,
"id": "c3e08271",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" ...,\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.],\n",
" [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)"
]
},
"execution_count": 127,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"hf_array[hf_array < 0] = 0\n",
"hf_array"
]
},
{
"cell_type": "code",
"execution_count": 128,
"id": "7321caf3",
"metadata": {},
"outputs": [],
"source": [
"## Multiply boolean deforrestaton by harvest factor\n",
"risk_array_unitless = np.multiply(defor_array, hf_array)\n",
"risk_array = np.multiply(area_array, risk_array_unitless)"
]
},
{
"cell_type": "code",
"execution_count": 133,
"id": "8314ab99",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Risk')"
]
},
"execution_count": 133,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=[15,10])\n",
"rio.plot.show(risk_array, vmin=0, vmax=1e-5, cmap='Reds', ax=ax, transform=src.transform)\n",
"df.plot(ax=ax, alpha=0.3, color='#ffffff', edgecolor='black')\n",
"ax.set_title('Risk')"
]
},
{
"cell_type": "code",
"execution_count": 130,
"id": "5de8629d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"41.4868094894407"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## Inspect total area fraction\n",
"sum(sum(risk_array))"
]
},
{
"cell_type": "code",
"execution_count": 131,
"id": "cf4f5cf7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"show_hist(\n",
" risk_array, bins=50, lw=0.0, stacked=False, alpha=0.3,\n",
" histtype='stepfilled', title=\"Histogram\")\n"
]
},
{
"cell_type": "code",
"execution_count": 134,
"id": "14d00695",
"metadata": {},
"outputs": [],
"source": [
"## Save as rio dataset\n",
"\n",
"with rasterio.open(output_path + 'deforestation_risk_ha_2018.tif', \"w\", **profile2) as dest:\n",
" dest.write(risk_array, 1)\n",
" \n",
"risk_array = None"
]
},
{
"cell_type": "markdown",
"id": "5b38011c",
"metadata": {},
"source": [
"### 1. Check raster info:"
]
},
{
"cell_type": "markdown",
"id": "f825744e",
"metadata": {},
"source": [
"### 2. Extent: Calculation of Commodity-driven Deforestation Risk Metric inside location.\n",
"\n",
"Using the Assignation Function (f') of each pixel:\n",
"\n",
"`f' = V/At * f/y`\n",
"\n",
"- V = Volume of commodity Purchased (const)\n",
"- f = Area Fraction used to produce commodity (per pixel)\n",
"- At = Total area used to produce ALL of the commodity (const)\n",
" - where At = `a*sum(f)` i.e. integrated pixel area * f\n",
"- a = pixel area\n",
"- y = Commodity yield (per pixel)\n",
"\n",
"We then have a measure of the likelihood that the purchased commoity was sources inside a given pixel (0-1). \n",
"\n",
"From there we need to locate deforestation pixels and associate them with commodity pixels\n",
"\n",
"Then, `Ap = sum(a*f')`"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9e5111a3",
"metadata": {},
"outputs": [],
"source": [
"## Calculate AT (const)\n",
"# sum(pixel area * harvest fraction) over all pixels\n",
"\n",
"## Generate f/y (raster)\n",
"\n",
"## Generate V/At (raster) \n",
"\n",
"## Generate f' (raster) = V/At * f/y"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0462a1fa",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "0bc00d9d",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 109,
"id": "1eff6781",
"metadata": {},
"outputs": [],
"source": [
"# generate h3 for india file\n",
"def generate_h3_features(geometry, res):\n",
" \"\"\"\n",
" Generate h3 for geometry\n",
" \n",
" Input\n",
" ------\n",
" geometry: shapely.polygon or shapely.multipolygon\n",
" \n",
" Output\n",
" ------\n",
" gdf with H3_hexes\n",
" \"\"\"\n",
" # Create an empty dataframe to write data into\n",
" h3_df = pd.DataFrame([],columns=['h3_id'])\n",
" if geometry.geom_type == 'MultiPolygon':\n",
" district_polygon = list(geometry)\n",
" for polygon in district_polygon:\n",
" poly_geojson = gpd.GeoSeries([polygon]).__geo_interface__\n",
" poly_geojson = poly_geojson['features'][0]['geometry'] \n",
" h3_hexes = h3.polyfill_geojson(poly_geojson, res)\n",
" for h3_hex in h3_hexes:\n",
" coords = h3.h3_set_to_multi_polygon([h3_hex], geo_json=True)\n",
" yield {\n",
" \"type\": \"Feature\",\n",
" \"properties\": {\"hexid\": h3_hex},\n",
" \"geometry\": {\"type\": \"Polygon\", \"coordinates\": coords[0]},\n",
" }\n",
" elif geometry.geom_type == 'Polygon':\n",
" poly_geojson = gpd.GeoSeries(geometry).__geo_interface__\n",
" poly_geojson = poly_geojson['features'][0]['geometry']\n",
" h3_hexes = h3.polyfill_geojson(poly_geojson, res)\n",
" for h3_hex in h3_hexes:\n",
" coords = h3.h3_set_to_multi_polygon([h3_hex], geo_json=True)\n",
" yield {\n",
" \"type\": \"Feature\",\n",
" \"properties\": {\"hexid\": h3_hex},\n",
" \"geometry\": {\"type\": \"Polygon\", \"coordinates\": coords[0]},\n",
" }\n",
" else:\n",
" print('Shape is not a polygon or multypolygon.')\n"
]
},
{
"cell_type": "code",
"execution_count": 110,
"id": "a7904b99",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--- 0.0542600154876709 seconds ---\n"
]
}
],
"source": [
"#time spend in generating the features in h3 for the basins test in resolution 1\n",
"start_time = time.time()\n",
"h3_idn_res6 = [generate_h3_features(poly, 6) for poly in df['geometry']]\n",
"print(\"--- %s seconds ---\" % (time.time() - start_time))"
]
},
{
"cell_type": "code",
"execution_count": 117,
"id": "50d2792a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"--- 0.0001480579376220703 seconds ---\n"
]
}
],
"source": [
"## zonal statistics with harvest area protion to calculate distribution \n",
"#summary statistics world main basins\n",
"start_time = time.time()\n",
"\n",
"summ_stats_h3_idn = [gen_zonal_stats(\n",
" generator,\n",
" risk_path,\n",
" stats=\"sum\",\n",
" prefix=\"m_\",\n",
" geojson_out=True,\n",
" all_touched=True\n",
" ) for generator in h3_idn_res6]\n",
" \n",
" \n",
"print(\"--- %s seconds ---\" % (time.time() - start_time))"
]
},
{
"cell_type": "code",
"execution_count": 119,
"id": "b91e01eb",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/vizzuality/anaconda3/lib/python3.6/site-packages/rasterstats/io.py:302: UserWarning: Setting nodata to -999; specify nodata explicitly\n",
" warnings.warn(\"Setting nodata to -999; specify nodata explicitly\")\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"--- 40.28767204284668 seconds ---\n"
]
}
],
"source": [
"## generate datafram\n",
"#generate a dataframe with the elements\n",
"start_time = time.time()\n",
"h3_gdf_idn_res6 = pd.DataFrame([],columns=['h3_id', 'area_fraction'])\n",
"for generator in summ_stats_h3_idn:\n",
" for feature in generator:\n",
" h3_gdf_idn_res6.loc[len(h3_gdf_idn_res6)]=[\n",
" feature['properties']['hexid'],\n",
" feature['properties']['m_sum']]\n",
"print(\"--- %s seconds ---\" % (time.time() - start_time))"
]
},
{
"cell_type": "code",
"execution_count": 135,
"id": "55fd7a60",
"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>h3_id</th>\n",
" <th>area_fraction</th>\n",
" <th>Volume</th>\n",
" <th>total_af</th>\n",
" <th>assignation_factor</th>\n",
" <th>distributed_vol</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>868c8b317ffffff</td>\n",
" <td>0.008155</td>\n",
" <td>25</td>\n",
" <td>461.916301</td>\n",
" <td>1.765526e-05</td>\n",
" <td>0.000441</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>868c8b3afffffff</td>\n",
" <td>0.012579</td>\n",
" <td>25</td>\n",
" <td>461.916301</td>\n",
" <td>2.723182e-05</td>\n",
" <td>0.000681</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>868c8b68fffffff</td>\n",
" <td>0.000120</td>\n",
" <td>25</td>\n",
" <td>461.916301</td>\n",
" <td>2.607805e-07</td>\n",
" <td>0.000007</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>868c8b687ffffff</td>\n",
" <td>0.000165</td>\n",
" <td>25</td>\n",
" <td>461.916301</td>\n",
" <td>3.567624e-07</td>\n",
" <td>0.000009</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>868cd31b7ffffff</td>\n",
" <td>0.003624</td>\n",
" <td>25</td>\n",
" <td>461.916301</td>\n",
" <td>7.846603e-06</td>\n",
" <td>0.000196</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" h3_id area_fraction Volume total_af assignation_factor \\\n",
"0 868c8b317ffffff 0.008155 25 461.916301 1.765526e-05 \n",
"1 868c8b3afffffff 0.012579 25 461.916301 2.723182e-05 \n",
"2 868c8b68fffffff 0.000120 25 461.916301 2.607805e-07 \n",
"3 868c8b687ffffff 0.000165 25 461.916301 3.567624e-07 \n",
"4 868cd31b7ffffff 0.003624 25 461.916301 7.846603e-06 \n",
"\n",
" distributed_vol \n",
"0 0.000441 \n",
"1 0.000681 \n",
"2 0.000007 \n",
"3 0.000009 \n",
"4 0.000196 "
]
},
"execution_count": 135,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#remove nans\n",
"h3_gdf_idn_res6['Volume'] = 25\n",
"h3_gdf_idn_res6 = h3_gdf_idn_res6.dropna()\n",
"h3_gdf_idn_res6['total_af'] = sum(list(h3_gdf_idn_res6['area_fraction']))\n",
"h3_gdf_idn_res6.head()"
]
},
{
"cell_type": "code",
"execution_count": 121,
"id": "cd90cc84",
"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>h3_id</th>\n",
" <th>area_fraction</th>\n",
" <th>Volume</th>\n",
" <th>total_af</th>\n",
" <th>assignation_factor</th>\n",
" <th>distributed_vol</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>868c8b317ffffff</td>\n",
" <td>0.008155</td>\n",
" <td>25</td>\n",
" <td>461.916301</td>\n",
" <td>1.765526e-05</td>\n",
" <td>0.000441</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>868c8b3afffffff</td>\n",
" <td>0.012579</td>\n",
" <td>25</td>\n",
" <td>461.916301</td>\n",
" <td>2.723182e-05</td>\n",
" <td>0.000681</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>868c8b68fffffff</td>\n",
" <td>0.000120</td>\n",
" <td>25</td>\n",
" <td>461.916301</td>\n",
" <td>2.607805e-07</td>\n",
" <td>0.000007</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>868c8b687ffffff</td>\n",
" <td>0.000165</td>\n",
" <td>25</td>\n",
" <td>461.916301</td>\n",
" <td>3.567624e-07</td>\n",
" <td>0.000009</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>868cd31b7ffffff</td>\n",
" <td>0.003624</td>\n",
" <td>25</td>\n",
" <td>461.916301</td>\n",
" <td>7.846603e-06</td>\n",
" <td>0.000196</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" h3_id area_fraction Volume total_af assignation_factor \\\n",
"0 868c8b317ffffff 0.008155 25 461.916301 1.765526e-05 \n",
"1 868c8b3afffffff 0.012579 25 461.916301 2.723182e-05 \n",
"2 868c8b68fffffff 0.000120 25 461.916301 2.607805e-07 \n",
"3 868c8b687ffffff 0.000165 25 461.916301 3.567624e-07 \n",
"4 868cd31b7ffffff 0.003624 25 461.916301 7.846603e-06 \n",
"\n",
" distributed_vol \n",
"0 0.000441 \n",
"1 0.000681 \n",
"2 0.000007 \n",
"3 0.000009 \n",
"4 0.000196 "
]
},
"execution_count": 121,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## calculate asignation fraction as area fraction / total_af\n",
"for i, row in h3_gdf_idn_res6.iterrows():\n",
" assignation_factor = row['area_fraction']/ row['total_af']\n",
" distributed_volume = row['Volume']*assignation_factor\n",
" h3_gdf_idn_res6.loc[i, 'assignation_factor'] = assignation_factor\n",
" h3_gdf_idn_res6.loc[i, 'distributed_vol'] = distributed_volume\n",
"\n",
"h3_gdf_idn_res6.head()"
]
},
{
"cell_type": "markdown",
"id": "a3acbe65",
"metadata": {},
"source": [
"### 3. Calculate impact metric\n",
"\n",
"\n",
" Deforestation area due to land use change (ha) = Total deforestation area (ha) * Purchase area fraction (unitless)\n",
" \n",
"The total deforestation area has been calculated above and the purchase area fraction would be derived from the user data information. For calculating the deforestation area due to land use change in a test location we will use the purchase area fraction dataset produced in the biodiversity indicator notebook. \n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b81bdde7",
"metadata": {},
"outputs": [],
"source": [
"deforestation_area = '../../datasets/processed/deforestation_indicators/deforestation_risk_ha_2018_new_extent.tif'\n",
"probability_purchase_area = '../../datasets/processed/probability_map/purchase_area_distribution_rubber_indonesia_3857.tif'"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "efd8b64f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/processed/deforestation_indicators/deforestation_risk_ha_2018_new_extent.tif\n",
"Size is 13915, 14843\n",
"Coordinate System is:\n",
"GEOGCRS[\"WGS 84\",\n",
" DATUM[\"World Geodetic System 1984\",\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" CS[ellipsoidal,2],\n",
" AXIS[\"geodetic latitude (Lat)\",north,\n",
" ORDER[1],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" AXIS[\"geodetic longitude (Lon)\",east,\n",
" ORDER[2],\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]]\n",
"Data axis to CRS axis mapping: 2,1\n",
"Origin = (99.999999999984084,2.999999999994714)\n",
"Pixel Size = (0.000269494417976,-0.000269495165055)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left ( 100.0000000, 3.0000000) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left ( 100.0000000, -1.0001167) (100d 0' 0.00\"E, 1d 0' 0.42\"S)\n",
"Upper Right ( 103.7500148, 3.0000000) (103d45' 0.05\"E, 3d 0' 0.00\"N)\n",
"Lower Right ( 103.7500148, -1.0001167) (103d45' 0.05\"E, 1d 0' 0.42\"S)\n",
"Center ( 101.8750074, 0.9999416) (101d52'30.03\"E, 0d59'59.79\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n"
]
}
],
"source": [
"!gdalinfo $deforestation_area"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "a57b0107",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Creating output file that is 13915P x 14848L.\n",
"Processing ../../datasets/processed/deforestation_indicators/deforestation_risk_ha_2018_new_extent.tif [1/1] : 0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"#reproject deforestation from epsg4326 to epsg3857\n",
"#reproject biodiversity risk map from epsg4326 to epsg3857\n",
"#reproject raster volume from epsg4326 to espg3857\n",
"!gdalwarp -s_srs EPSG:4326 -t_srs EPSG:3857 -tr 30 30 -r near -of GTiff '../../datasets/processed/deforestation_indicators/deforestation_risk_ha_2018_new_extent.tif' '../../datasets/processed/deforestation_indicators/deforestation_risk_ha_2018_new_extent_3857.tif'"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "cc249b83",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 0.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 1.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 2.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 3.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 4.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 5.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 6.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 7.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 8.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 9.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 10.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 11.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 12.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 13.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 14.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 15.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 16.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 17.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 18.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 19.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 20.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 21.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 22.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 23.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 24.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 25.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 26.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 27.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 28.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 29.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 30.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 31.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 32.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 33.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 34.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 35.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 36.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 37.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 38.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 39.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 40.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 41.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 42.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 43.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 44.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 45.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 46.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 47.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 48.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 49.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 50.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 51.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 52.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 53.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 54.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 55.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 56.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 57.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 58.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 59.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 60.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 61.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 62.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 63.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 64.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 65.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 66.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 67.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 68.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 69.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 70.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 71.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 72.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 73.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 74.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 75.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 76.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 77.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 78.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 79.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 80.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 81.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 82.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 83.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 84.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 85.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 86.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 87.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 88.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 89.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. "
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 90.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 91.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 92.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 93.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 94.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 95.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 96.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 97.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 98.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 99.. 100 - Done\r\n"
]
}
],
"source": [
"#calculate deforestation impact metric\n",
"!gdal_calc.py -A '../../datasets/processed/deforestation_indicators/deforestation_risk_ha_2018_new_extent_3857.tif' -B $probability_purchase_area --outfile='../../datasets/processed/deforestation_indicators/deforestation_metric_ha_2018_3857_test_location.tif' --calc=\"A*B\""
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "efb5d06b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Driver: GTiff/GeoTIFF\n",
"Files: ../../datasets/processed/deforestation_indicators/deforestation_metric_ha_2018_3857_test_location.tif\n",
"Size is 13915, 14848\n",
"Coordinate System is:\n",
"PROJCRS[\"WGS 84 / Pseudo-Mercator\",\n",
" BASEGEOGCRS[\"WGS 84\",\n",
" ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n",
" MEMBER[\"World Geodetic System 1984 (Transit)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G730)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G873)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1150)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1674)\"],\n",
" MEMBER[\"World Geodetic System 1984 (G1762)\"],\n",
" ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
" LENGTHUNIT[\"metre\",1]],\n",
" ENSEMBLEACCURACY[2.0]],\n",
" PRIMEM[\"Greenwich\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
" ID[\"EPSG\",4326]],\n",
" CONVERSION[\"Popular Visualisation Pseudo-Mercator\",\n",
" METHOD[\"Popular Visualisation Pseudo Mercator\",\n",
" ID[\"EPSG\",1024]],\n",
" PARAMETER[\"Latitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8801]],\n",
" PARAMETER[\"Longitude of natural origin\",0,\n",
" ANGLEUNIT[\"degree\",0.0174532925199433],\n",
" ID[\"EPSG\",8802]],\n",
" PARAMETER[\"False easting\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8806]],\n",
" PARAMETER[\"False northing\",0,\n",
" LENGTHUNIT[\"metre\",1],\n",
" ID[\"EPSG\",8807]]],\n",
" CS[Cartesian,2],\n",
" AXIS[\"easting (X)\",east,\n",
" ORDER[1],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" AXIS[\"northing (Y)\",north,\n",
" ORDER[2],\n",
" LENGTHUNIT[\"metre\",1]],\n",
" USAGE[\n",
" SCOPE[\"Web mapping and visualisation.\"],\n",
" AREA[\"World between 85.06°S and 85.06°N.\"],\n",
" BBOX[-85.06,-180,85.06,180]],\n",
" ID[\"EPSG\",3857]]\n",
"Data axis to CRS axis mapping: 1,2\n",
"Origin = (11131949.079325584694743,334111.171401370316744)\n",
"Pixel Size = (30.000000000000000,-30.000000000000000)\n",
"Metadata:\n",
" AREA_OR_POINT=Area\n",
"Image Structure Metadata:\n",
" INTERLEAVE=BAND\n",
"Corner Coordinates:\n",
"Upper Left (11131949.079, 334111.171) (100d 0' 0.00\"E, 3d 0' 0.00\"N)\n",
"Lower Left (11131949.079, -111328.829) (100d 0' 0.00\"E, 1d 0' 0.12\"S)\n",
"Upper Right (11549399.079, 334111.171) (103d45' 0.06\"E, 3d 0' 0.00\"N)\n",
"Lower Right (11549399.079, -111328.829) (103d45' 0.06\"E, 1d 0' 0.12\"S)\n",
"Center (11340674.079, 111391.171) (101d52'30.03\"E, 1d 0' 2.13\"N)\n",
"Band 1 Block=13915x1 Type=Float32, ColorInterp=Gray\n",
" Minimum=0.000, Maximum=0.000, Mean=0.000, StdDev=0.000\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n",
" 256 buckets from -5.57953e-15 to 2.85114e-12:\n",
" 122381664 209492 164444 209095 54085 135827 136168 47288 81247 55059 15865 51173 34945 48027 21877 21830 34662 27576 49376 13806 35494 22975 39302 36059 29971 20624 14290 11846 46292 14958 36817 35967 46052 14345 11669 14742 27494 25111 24530 33826 23857 5951 31645 25618 11378 56637 17408 13668 8162 18721 9619 14922 3742 2237 5360 22499 8827 15105 35887 15045 24220 3519 12627 16527 2296 11211 15711 6012 26583 12070 7686 23897 23726 6866 19821 11710 17639 5287 12289 15488 6447 46243 34450 11118 2051 5233 12410 12854 1351 7863 6720 25766 13336 8090 17040 13416 13567 9798 641 18748 2976 9134 46143 26177 16712 2950 9580 6760 12266 612 1638 940 7179 2756 11955 7730 11464 4178 20222 2951 17326 6525 6664 4081 9988 26609 867 11092 15808 9904 6270 1392 2953 1456 0 0 1065 11111 39634 8317 3307 7977 13207 3170 2833 4667 1242 0 1143 0 3234 8831 623 4564 3379 1897 78 0 843 13180 3554 0 0 197 1093 5095 0 0 0 0 0 1359 12131 552 0 0 8093 220 237 0 439 3430 1222 3505 1222 0 0 0 0 105 0 0 0 7460 0 0 0 0 0 0 0 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2767 0 0 0 0 0 0 4966 119 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 505 0 0 0 0 0 3119 \n",
" NoData Value=3.40282346600000016e+38\n",
" Metadata:\n",
" STATISTICS_MAXIMUM=2.8455618937551e-12\n",
" STATISTICS_MEAN=1.3517071594513e-14\n",
" STATISTICS_MINIMUM=0\n",
" STATISTICS_STDDEV=1.1727945993775e-13\n",
" STATISTICS_VALID_PERCENT=60.86\n"
]
}
],
"source": [
"!gdalinfo -stats -hist '../../datasets/processed/deforestation_indicators/deforestation_metric_ha_2018_3857_test_location.tif'"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "90521b15",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"with rio.open('../../datasets/processed/deforestation_indicators/deforestation_metric_ha_2018_3857_test_location.tif') as src:\n",
" image_array = src.read(1)\n",
" fig, ax = plt.subplots(figsize=[15,10])\n",
" ax.set_ylim((-111328.8286,334111.1714))\n",
" ax.set_xlim((1.113195e+07,1.154940e+07))\n",
" rio.plot.show(image_array, vmin=0, vmax=2.8455618937551e-12, cmap='Oranges', ax=ax, transform=src.transform)\n",
" ax.set_title('Deforestation impact - indonesia test')"
]
},
{
"cell_type": "markdown",
"id": "b24a6864",
"metadata": {},
"source": [
"### 4. Explore output:"
]
},
{
"cell_type": "markdown",
"id": "67f3bd4d",
"metadata": {},
"source": [
"### 4. Reproject raster from epsg:4326 to epsg:3857\n",
"\n",
"Reproject raster from 4326 to 3857 as the hexgrid is in that projection. We can do it the other way around by reprojecting the vector layer from epsg:3857 to epsg:4326."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "15be1c02",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}