{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\\dofiles\n" ] } ], "source": [ "cd" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\\working_data\\analytical_panel_shapefile\n" ] } ], "source": [ "cd \"..\\working_data\\analytical_panel_shapefile\\\"\n", "// Convert shapefile to dta\n", "*spshape2dta \"analytical_panel_qt_shapefile_crosssec_thiessen_polygons_clipped_manhattan\", replace\n", "// Already ran this" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "clear" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "use \"analytical_panel_qt_shapefile_crosssec_thiessen_polygons_clipped_manhattan\",clear" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "_CY y-coordinate of area centroid\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "\n", " type: numeric (double)\n", "\n", " range: [40.700958,40.876938] units: 1.000e-09\n", " unique values: 2,736 missing .: 0/2,736\n", "\n", " mean: 40.7718\n", " std. dev: .0409\n", "\n", " percentiles: 10% 25% 50% 75% 90%\n", " 40.7192 40.7377 40.7682 40.8006 40.8285\n", "\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "_CX x-coordinate of area centroid\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "\n", " type: numeric (double)\n", "\n", " range: [-74.017895,-73.908756] units: 1.000e-09\n", " unique values: 2,736 missing .: 0/2,736\n", "\n", " mean: -73.9713\n", " std. dev: .024253\n", "\n", " percentiles: 10% 25% 50% 75% 90%\n", " -74.0039 -73.9912 -73.9736 -73.9501 -73.9387\n" ] } ], "source": [ "codebook _CY _CX" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\n", " test | Freq. Percent Cum.\n", "------------+-----------------------------------\n", " 0 | 2,736 100.00 100.00\n", "------------+-----------------------------------\n", " Total | 2,736 100.00\n", "\n", "\n", "\n", " test2 | Freq. Percent Cum.\n", "------------+-----------------------------------\n", " 0 | 2,736 100.00 100.00\n", "------------+-----------------------------------\n", " Total | 2,736 100.00\n" ] } ], "source": [ "gen test = _CY == y_left\n", "tab test\n", "gen test2 = _CX == x_left\n", "tab test2" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "drop test test2" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "gen quarterly = yq(year_left, quarter_le)\n", "format quarterly %tq" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " quarterly | Freq. Percent Cum.\n", "------------+-----------------------------------\n", " 2012q3 | 2,736 100.00 100.00\n", "------------+-----------------------------------\n", " Total | 2,736 100.00\n" ] } ], "source": [ "tab quarterly, nolabel" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(0 observations deleted)\n" ] } ], "source": [ "// Left this in here in case I use the full panel shapefile\n", "keep if quarterly == tq(2012q3)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "_ID Spatial-unit ID\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "\n", " type: numeric (int)\n", "\n", " range: [1,2736] units: 1\n", " unique values: 2,736 missing .: 0/2,736\n", "\n", " mean: 1368.5\n", " std. dev: 789.959\n", "\n", " percentiles: 10% 25% 50% 75% 90%\n", " 274 684.5 1368.5 2052.5 2463\n" ] } ], "source": [ "codebook _ID" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "Duplicates in terms of _ID _CY _CX\n", "\n", "\n", " dup | Freq. Percent Cum.\n", "------------+-----------------------------------\n", " 0 | 2,736 100.00 100.00\n", "------------+-----------------------------------\n", " Total | 2,736 100.00\n", "\n" ] } ], "source": [ "duplicates tag _ID _CY _CX, gen(dup)\n", "tab dup\n", "drop dup" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "intersecti intersecti\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "\n", " type: numeric (int)\n", "\n", " range: [1,4218] units: 1\n", " unique values: 2,736 missing .: 0/2,736\n", "\n", " mean: 1450.23\n", " std. dev: 833.591\n", "\n", " percentiles: 10% 25% 50% 75% 90%\n", " 295 731.5 1453.5 2176.5 2594\n", "\n", "\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "intersecti intersecti\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "\n", " type: numeric (int)\n", "\n", " range: [6,2868] units: 1\n", " unique values: 673 missing .: 0/673\n", "\n", " mean: 1626.07\n", " std. dev: 658.469\n", "\n", " percentiles: 10% 25% 50% 75% 90%\n", " 638 1185 1737 2171 2380\n", "\n", "\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "intersecti intersecti\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "\n", " type: numeric (int)\n", "\n", " range: [1,4218] units: 1\n", " unique values: 2,063 missing .: 0/2,063\n", "\n", " mean: 1392.87\n", " std. dev: 875.774\n", "\n", " percentiles: 10% 25% 50% 75% 90%\n", " 227 617 1331 2188 2644\n" ] } ], "source": [ "codebook intersecti\n", "codebook intersecti if flag_LPIS_ == 1\n", "codebook intersecti if flag_LPIS_ == 0" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Contains data from analytical_panel_qt_shapefile_crosssec_thiessen_polygons_clipped_manhattan.dta\n", " obs: 2,736 \n", " vars: 35 22 Feb 2019 15:49\n", " size: 205,200 \n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", " storage display value\n", "variable name type format label variable label\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "_ID int %12.0g Spatial-unit ID\n", "_CX double %10.0g x-coordinate of area centroid\n", "_CY double %10.0g y-coordinate of area centroid\n", "collision_ byte %9.0f collision_\n", "personsinj byte %9.0f personsinj\n", "pedestrian byte %9.0f pedestrian\n", "cyclistinj byte %9.0f cyclistinj\n", "motoristin byte %9.0f motoristin\n", "bronx_left byte %9.0f bronx_left\n", "brooklyn_l byte %9.0f brooklyn_l\n", "manhattan_ byte %9.0f manhattan_\n", "queens_lef byte %9.0f queens_lef\n", "statenisla byte %9.0f statenisla\n", "distance_t int %9.0f distance_t\n", "distance_1 int %9.0f distance_1\n", "distance_2 int %9.0f distance_2\n", "distance_3 int %9.0f distance_3\n", "distance_4 int %9.0f distance_4\n", "distance_5 int %9.0f distance_5\n", "flag_left_ byte %9.0f flag_left_\n", "flag_lef_1 byte %9.0f flag_lef_1\n", "flag_LPIS_ byte %9.0f flag_LPIS_\n", "flag_LPI_1 byte %9.0f flag_LPI_1\n", "bike_route byte %9.0f bike_route\n", "bike_rou_1 byte %9.0f bike_rou_1\n", "flag_senio byte %9.0f flag_senio\n", "flag_prior byte %9.0f flag_prior\n", "flag_schoo byte %9.0f flag_schoo\n", "flag_stree byte %9.0f flag_stree\n", "quarter_le byte %9.0f quarter_le\n", "year_left int %9.0f year_left\n", "intersecti int %9.0f intersecti\n", "y_left double %24.15f y_left\n", "x_left double %24.15f x_left\n", "quarterly float %tq \n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "Sorted by: _ID\n", " Note: Dataset has changed since last saved.\n" ] } ], "source": [ "describe, fullname" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " Sp dataset analytical_panel_qt_shapefile_crosssec_thiessen_polygons_clipped_manhattan.dta\n", " data: cross sectional\n", " spatial-unit id: _ID\n", " coordinates: _CX, _CY (planar)\n", " linked shapefile: analytical_panel_qt_shapefile_crosssec_thiessen_polygons_clipped_manhattan_shp.dta\n", "\n", " Sp dataset analytical_panel_qt_shapefile_crosssec_thiessen_polygons_clipped_manhattan.dta\n", " data: cross sectional\n", " spatial-unit id: _ID\n", " coordinates: _CY, _CX (latitude-and-longitude, miles)\n", " linked shapefile: analytical_panel_qt_shapefile_crosssec_thiessen_polygons_clipped_manhattan_shp.dta\n", "\n" ] } ], "source": [ "spset\n", "spset, coordsys(latlong, miles) modify " ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "application/pdf": 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HZjjOxripM0npxUhkQjWoHseZIyeMlo2XUpkuSPglLCGRicYNReohLAov2pMfmHgcQsc5lTv64ptx2dUFJwvIcZb0/Lss5919UmQYbofO8mV957aGszgTDAuzxHYihxBetmRYdgHtaHLNegHHzqmlHZ70ZP/im7EsRO3pmUdIDmGLeX4kmtV2Ouv894BD9SPgWzn4SxiclORsAidUUpzLz29fHMazB+2rMgUMcbkEawhdfa3bcZivVbzOdqpmbhZwthyZ4RMa4uos+sWo/jxkfOjwb+/hGiEFpol9ywln/BEiqFO4ADEE7jCGTbhIZmvqk8ibQIV0WKTJOrrCXYaEqCzm/eKbsa4E+9LzOWWBWn492eCZhqRLTqgUR+l19p2I/Pt5zroAx/mf3ZRKZrGJ7cXtSbk3SaIeA6PjHW7DkxMT8jo5qk5EKcRAckHyC2bF4pPGp4KEK0d++KKHmsoqSf2brItPjp8KmvgtJwydjvSxOmW+IcZ0M0gtQjK6bIoGlv34thnDMsnXvdlOpB2b/tZOC6HMum+9MTe1b7jrtPlGfK4jvtnwNQLNRIcFzuq0cf+UGdJCBl2/MnWfaPyQlYLZKulSU5b5ieKTdmSGX+j44Ov08SOGbG3kPQOP2Y4zfZ5z5IT7tsEprRO/lPDLQUXSHnIJkWN4yDg7bVd8yEsvyY42exk86T0rf/U6f3U9OAwCjZdVpxdH+E1FQko/Uv2LUNtsU7TZpshcgjgAHPnh05VNzqppcS++Z/wEeygIdEggcbEnp27Sy7iKjpzQlBF3qhyDYgzUbHgp+LKykIqTbhf2ti2WT8E4ZxDLcuSHX+uqeev2tQ58Mxb/ujoxBLf/0cxlwe2rXLPNZzLdtb/XeXETZ/PA3zLD84TmHtq0/OB7wjJu+qKELwhfnFQhWS0e6smJycl9fFQeK4ThReALOmWXa7Gjjm2xwnHmyAx9H0NNZZWIcdygu4XcMGCiIyc6WTVpUhWkPugGtAp/4LJsQJnGbZ/VYP4rFugTV5Ueua79+rPD0dXOUlkns6vNfem0A9nSRBYS/qJoV/4QLSqTLoiA8ZbBYerASykgkoYjJzLlidfXKXZP+FHDjAZkOogD40w/cX9HZviEBl2gMnUAMahB9XmT9blkM1cGl61WdOSio9i3/H/zElVcnUU/GNU3s2SbofH6rPNsOu2YhUcuOIo5MkMay3gpdaaivBjpKuLbb9uJ9PPk4Ik6ckJTxt1XfhL8VF6VaEqWg2U5zUTlvOk2l5/it8zwTCIrvE2hA94IhYPbNnlFP/1DXCpixSmBW2O7Cf1uPa1cVFaeiG0dJMLZk+4XmdCNylGG82WXjdt2TtoA/hu/1prPZfi1FN8TLppZaVkqkgddenmRtoFdD5txxcW2JlvZ5UiwJjs1Syx63U+zVfLwc+o5h/lv7SeeTf/eMqaaoPb3u/nKJJi9W2KgsEXWZKefRZbrvrdybA6nqOFAqpMzCXHbeOqSLkNEH3kf0YeUNVFT8qaLi5qSpZLAZkXJyCnlyA/dxvKElmLlKQa+GUvoyLbz7Vktben5+QvAMfuwvYbNdkoPvhlL0Z+2chjLcBEuS6/ZJbsjq6vUhrYQW45eQKsNkeU00lE7cFydZ9QGx2nGyvhZl+VHE+CINNDX14or7YNgIV6Fc3suvfpSW2x7Cn/7/I/cOST579h6pHn56zFKySjYT4s5C5m4dCpzGipKW/IPKxBztEGTLSgsX0my7G0JlBqlvc3SGp9VeMq/apBP1nnjXa3CsM/GLxGZ9r3ojjSpH7bB8y/pMtNg2zwc9q+i7eg/SxLr1zs+9z/zMayyXc5G2pDn0CXkdhRJuTNbDqECKEyiotdxuv7yZkW12uC1fAEt/mSUyTVprNIqXYirzZ6OUIj7v0pWq+16VvH22bZnFZJlXuwP0vMk5WSeViPUtCUrrfa3cvP2WqSiXrps35W3IXeTyHFnJ0nNIzNSvHq7SRByru0NV5lTdwsQbsLvv+xfl8cGddEbj0jGX6/EIenAVuZvlfWlU6HXpjjZhm9tT7wHHiWWarTcdWlzmz3qr8EZLivjjFSn8xJgPABjmBH3w7hPduQEphQhNS5K93vgjVCog+3GdYUDOhuWyHrLX7X/KNOSrmbf4qJ9QHuJpyYuDnQDAjmoCXbq77766/cxZ8y2+XXa8T9QDvtrJ/JItZfrer67Pv/ArPQpIqyaMIh6dSLtIQZiH9bJoRo4UKPLkROZ8tCqKlGsCFOBDyz8AXVykNKGVDdHZviExt3XieL4g9MPsY9KfkEpMHyKjszQrEFaqxOBjchsQFaFl0IF1aAgDRWbQSLct/xwIzC4FdXnXCAvQ5bwNrkYQRrKoWKZVEdO6L0ZhKs6ka8QA0ErWfFOwxIDKNeb7VCsjKkjJ3b7dn5OnflhgIHPgyQ/qqJKpUvfkqZoOnHOvnWFc9SqydI2SQ18M06SBWFJrLr6b0+JlcfXuu7671uefws4ToBtY+VUd/CLb8bnIevvoK21NfMsVsVMsFXeWM+2rqRiuxlHTkgb3/XoZHW8Br4Zy3GqnZ5sfgLmLzJ8kVftyIkXEc3W66tIx/eE4eHjS8kyKYy/keNI3jtROb34W2Y4P/XlqtLKBbDIqW+xbRXsomFt+/xdOEiG2MoqCLcdzLr2aVl3E5bc3wbvX+lsOdjMv8Y5AuMMyF6itU7lWgFjzVOoharex3W1s4wwd65yzT8F/G8qXamHuk7easSQd4L5KHB8p+OypAPqqNJzmhyv7fMjD/i3rtDc4Tiv7EQnDGpQ/WEP1IpJHsfwDHhy4iTu7quvk98eMfj2USWagqddPAU7MkMC6yihW6mcLmMouUthBlCJptDxWQZAJ7k68sNUgLZ/1QJIFfA9YQlRnLavwxoGVJMAUlAdOWGxm1HBvE7F1LGyORRcvw6l79qQ16N1L2IJ1c8dOfGcIKQtW1cffM/44ckif5ZqGEBKqScnHEODslsn+u4Plfcw9UCqp3RlSD/GegZEA/6W/68yWsvyZrT2PRhi3KdxAfW3hgHWIXDkhBPBYKnXibGOGLaGqOajDELfs70JuMh8d+SHa6AGQoqtgQPfExZ6yCik/BYFmJL836x8Pb5cvVLIt8xwIlCiYK/1PPDNGNWgek74fycInDgcmXHidv+yKn9lhGEI49DGYgFcFAC+0G+ZIeFmZDrUKaUFMWRGYEI3JWjDF4pfriMz3G6ObWKdt4wvxm0lztQ0g0PyvyMnHOY69WnM4cU3Y5gG/fIwmGUPnwJ8Ip78uIBJP4zV6UwJGA9v2DQC5zCc2xw54XgaY6VOGTWAce7x6qTgOHPkRE63EaOqGK4CCPEszNn7ceCYYwdSG4vuBS0w+Ck5nKKa/XlLVip64Jux1LvJtinA4yYdJbMQQU/zL+f2n9Olx1CZ0bIlul/tM8jm3FxlT5iNte9pjQx/FNZJOWA6J8MZWKxIRqpWH1qbCJafm3hxmE8s663RjV98M9YM7Xxa6EDnVpsVxMG87+Ykk5YHe1rW+beAw0No2z6mpGSGF9+MD8lo3O0VHuJfWQ/79yQhhL7KAJbIohb4FPymgLUjquwV+8lV077MBSlxldTd/I4NYTZrD/pWiv++cJVslC3b+X5TbpSd79EFAS4FCB1/CwzdHzKrGrn9xTdjIePtm0VbkkZQ+lFeXvFq0SgJE+2LxbbQiYQOIqHbb/3U6+gKPcty60KrqIBvxqiG/FPotwJXiCMn/E6FpmMZMi++GZ/HJbmx1zw6cfQ4vw1fXBvI+bBc/wffjIX0lPu3Kbuvr3mPZqlmabbQ/CrvMtvGY5VaSTn1l9ieaDbq9iq5ILmHOR0b4j14JwhXJgsjRkKxbLm37uTB0htYVsORE9cC60fBOjXFAgxHx325ZIrJPYnsKYtH5e+4odanzGiJlcqI+6EpAi++Ga/CFreq11m4BLutB23ztcmJxegkgg/djmWNxR46w7V3LO2i9DaypkXZeFVSw8C6q7QgtmdDdBuPWZVNJHMFX6ZSyCo9sZVuw/lt+BSljNSuGcwvvhnjXdLdy+HdTszebyN2ydOqrlLbOmpht2jure1zyCxQv8nJZLuMgVI0ocxISm/7O09++ILkFGt+3hffjHehK649Sqo1H4z0cpxFsFUsuoQbYX+fxVzLWuYXCi/a0RWZq3naa9FqMw++GSfB/clJULx9Amq6nDjTppu3XGQ7tFnlGbwlvFVHfuijElJF1ip+L74nLJPIcXXmUlN/9LYx7aNKqTsav38bzmcyO6+71TYc+J5wk5Q3K1cmfePaADPGd5G/sUQImeey1Wf15MTeOuE8XPYkBr4Zl7YopdMSVYtwUCzjalOK7Gl0IImEp7L8PC18io780MQRsqxT+BKxbAyzBfDwpeDLOsXRmJLdEnR/5DDop/zwhY4XVOllMW53nPdeBfmQpfqwIszCs0m9+O4uW4HOontftCczMut5WZVfHGEhNl1npy3K0cnSmRbj25zzi3bkhE9oiK6khnHbl+R1nYcwDvNdz1EWkSUTHZkRU2bbNFFQdq0vvhmXVYpAqFntdNeGuW2mi5w5d3PPlyxVsowi6cmJTHnE1Uk0YFQvfPBkFP5yrpJjpi/R+22YkpRlo6JtrV58E07LonVSDWtoPFkCoZTwtDKL+yUuipKW6beIw4y8UZW/ThX6AZ9ykvkVTeq1ModtQqj1Jlb6d+SHebWSyX72zOOBb8ZZeXebccx3LQaivFKh1rSlV/nmQlLZi1Xiy8JaK7rGeTIjs3RVt/IFL74ZC2eyLaW9suM1xhOZiKY7ckJ6fNv+JAsrvvhmfMrmxJhG7eaFPNBbAy8yg6eO5eBlqZcy3FLqyQS7lCLr+Q7f8uPkaK1hYy9x4JsxvhR8WbKl3w/rPnLINjBbzqwyRvLeU8nTcMB48iMTn3qXlWtfIkY1pF6G/G5mYa1MR05kilRuTdYj8cU3Y3wp+LIu3dbpGpd0d7D1J/ctJzRFqLSbkvpefE8YRKNKifel1Z6Q+DbTWn5/++LQFP2CdG/+4nvCoAbVn6ccQY91/hLxC3VkhmRUWbO2xRqhDHwzlh1aO5zbFLrKfsiSsIRymPrSKyN84KxPxaZNR2b0tMQtm06tGffim7EkNedeF2Jre46BhQecrAFBkmW1TViGV/Wy5lkO4DB9rRxWUqACvhnj3dNTkWjTVX7+HnCY1DcqGtSpugFgMgVUChVsvxar6AItZLEygiMz3BHIXR6LtZEe+CacpGt0U7vPD59eitAPbU7apXZJn9mbnE3klEkm4sjEPoQ1efnBN2NUQ+p3ZTYeP8MfPgtHZmjW+ILq/DW9GFWiKZe6u+3l6hRq1Tvbu3xOwLsGFmyC8OSH+fpDXGXRhF/1adXDta19Uhg1LZd9ZbgNfLeHu2SXJavk7skPt4HiRTm1kPyLb8aghtTzzhO2iuIwt/24JzN8uaNWV53qdgFGNaged5tY58uREy4+Y0NSeXNCGxXYbV4S7bRIJmE5eO2H7etpY/MtM9z6jZ1knTa+gHG9w3XQKu5t5mrTYb79mIu35MiP9+99b1R5n4QY91K4xdPQdLLOb1htG6twY+saR/6/SXvTnUKddg2AcWMDe6wsvMteErEdqGXh6n//Pl3efXzLD32nY4tXp+3ei3H/rpl5ySIUaCJvD7/lhPPZmDbrPIU+WIs6NjVW56Zo1WHD4gza7LQD8xxPv98yI1+oeE52ay/64pvwIYGK/TAsm842QSyKxYVvh/dDEpZ2Wy0OnXIthpgv+RSSnZoc+ZGJRQtkaYuaF9+Ej0VZGrrMHxJQ2Wz3cWg3CotkZ62iYXOeJyc0RZJdTs23ePE940cNqm9P5ann1UxUDow9Lan5lbvpUsXF0q7zKdm4SW/D0xWVGlh1qlT20Itvxtumc5KalaRunM1hh3wFvRLVIdlzu3XapQGAA8ORH5koo3q/1O324puxnA3TaiqTVp7VeeuQPPRkVQTIdLwlR2ZklhAh9qQhghffjKUi6H5YmTs5XfSdLbnXyO0mQ37/lQM4PG2PY0WdjhiA8RgiaaIPFjrCZSV65KDdNP4eVV4cPaGsfe+0G+qLb8bSPmi36OtxSjVHY1VQ4UAs7OfICQN0MjyLJu2++GYsNLz96gE6DEthOAnigxgWdWRGL0s4Ivup9epffDPWyOqlQTn2Y4F/C11tu1G9tlkO4HBPtutxQ11wD74Zl6sMMlASOlU6j74kP/4w8mlp8nEu2ywHcDi0s8SVk+4mHnwzxrsnRyY6JsGPtR3Krr1mOYAjs57eLpX7vFDPF1BDbjTwe6FPy5ETbgkl3LOsVsty4HvCcvJZt18PD3hscJzh+HNkhmbJ3sjaab34ZiwVm5KVnmM/Fvq3wFy8DUdmSC8c3ITKPAXCwGWQnnb7kWy5lQXEysDmQzcwVttD6kjuFhXzZIZmSbG9TZkiL74ZoxpUjx1QsNOJIyesfjIC/5VIAISRKEAmYmMWaMCih7BewuLIwvHSl069iLBHkaM3Mv0hCtSJNAAYiQWXTI+WC01YKF3taG3R/KT1Bq5ZDuAwj/x8fBYTx+HFSBqQEhtp69tAWZ7X68dEvA1HZnhQG6fnyidpxHB85XUT18GXspNk/mhz3jrLARwezobK6h788YRNSziY6DoNAIdr4jg9Vz5J06ka/A705PBJHFKo1BYZPIU7MsMnNE7DlU/G6IOA0/NENnlJKLjhoaeI/otv+eEkMk7JdTrUA8ZTte7fd10TiWODpuMtOTKj3alUAWlzlx4rHnwz1gav52EnnzaUtJ/ptAulstNQjlqrP2VdTw9NVui11hxdYU24sSGuvDnmCtvvBlre5W70Raq87fw2nCDGsK08hBHDMGf+IPL7iOH2UNI8mWHYQbgxe68lOPDNOCnt1TzT4jdPVmlml6I3DVs5foncdtcIYkdmZNZD3qwzkfPFMql/mUvqnfrR2CfZkR+Z2J+KdRof+GacheBkDV536eXTNmPHjPGJ4pN2ZIYO81XL9GgJ/gffjM9DWUXmi29W5G3pdA7l2BhXQo8n51OlJllpYE9mmIU5OM11yutA/HKg2zFRCE6jGrGUMTKGm1idF+NvrZoTYpm/whjqJyguRwB5I47eMG1tkydk7SAefE9YaglZzdRNpmLlMwpuwy1biZRN7ian0V2n/b257zyZoVnjCVV+WoRBNKqUHOU2nCx7fNW/sfQjCbuuZi4+dUd+mAk1XkrlF0QYXmLS4KGx3YRzl0pvxQX9r7AvliMzNGuorNMYQgzjLOln0ftDZol1XutsriMnLpfSx0Tl8UEYxpCUOs/Z7l4OQzlb7muWGmT7VX5+++LQHTfWuMrrHXedeNbEskgK26qFPoouUBaBw84UnpzwADdKU1YuU8klK9/TDp6CyOuM3mhw71JdSag36egKnVDD01fZ64cYPYNCUW1jyE7bMmyNJqt9FJI5Oz05cdBZ/A6LxcIHvhlj4JiishCtxbCoIydcH0dro8ptjggDWQFJDKgSTcGQKoZLHfkhE2WQEioRFAgjiYFcwPhy4cXJ+tVedo+XywbJ/t2RH5o4wlWVQ1cUxgI1qF6S0pKVMadQlyMnmiCeD7vyR46taGAiKOKy2y6NUGCLGu+34aQwEmTqlCwDGBMa0L+Afgd0QlGizbfMMC9jpHzUKf0DMObtoE+LfF3g+UGPkCMzIhI/D7xyfyDE+IKyZI9f/SVCDyHntyGZauzBq380wOPDB8dGP3KkmDlywhPO2PZX/zjgmogMN+B+IRGLiFXf8kOi3jgC1PmA9WI8MjBR6mU24VPEp+vIDLlf4whQ+TgAGI8MRNojEt7LD9OQYfvtNslBHM1DT5C3TgFfwOQjAN8BBYW/fxtGK2ReubSKxYtvxpuc+5bU44Pg8odQAIaWtk3WOOM+ODJD1rc4biwP8cU3Y2m1ks5iZHRJlbQllkJRGFoSD3QbKnmWAzh8WkJTtNSiF9+M8e4p4AahKAwtSauf3Vp4eDLDZXV0O6rc+Yi6IIEaimxBKIrCTNg16VtmGKDTeeXQcOaDb8aWFm9xQIrbYDwHxhyORUdmuMEVltCua9yLb8Y4Vig8CWHLrPUlbf+UlO6o66AnMzRLZufVqPsPvhmjGlSP0TJ8ivh0HZnh2BpsyDoxIwEje5JeCrwsnAggucaTGYc2+0mjTqcOwHgywckCP37ntyE3a+Tk1Dk/58F0lzSd4vT4fuSU2+PIDNe4kRJUOT0IMajh+QYmCPrgqTnY0zTMkx9OoYONVicGLmJgr9GwheGM4wzHnyMznKvGSaNOpw7AeDCicYaLCUwcOBHg6cWRHz65ceipE9cPMKpB9TQ/wRMlnuC3zDCEOU4glU8jFB6HEwtGUC9ZfKwWc5Y6kW1faEw2LRxkwWIKrX/Lj0x8VFZWT6a8EdRDOifsVk3skCSu/bKELjTXkROzJ7ua6saYMbB7SO3O7sI/pF9sd/OjiW6sGnCc4N6LHlQugMA1Hd6ces61f4+azm/DmOCoOlC5AgFXI3iLJHDpiPdI6fw2pBTKlCgR8wr4ZiwRyN458pBS7bs5jQ99KovuPL3fxsQ4KYGlB6YX34wldNy+IFUPNEKiBSp5br9+fgs4MuWQPy3q437xzbhYN3llK675cUsgo5FMRNMdmeELGrzhyhxiwkAzRfopPgl8QuKN360VoyczZMsOCnNlOjNiFI0qi3lI8jyecJw5MsMjpTBbN92yvfie8Mu4JjWoHoez0Kx2qy3jyQzNGozrOrOvEb9qUD1+ZRh5x4g8sbi/5YcLxVh3Kq9BiGGdYgrzS20m3rojJ1xWB0eqznypFxdpyW4Fn5E2Ty8XXhBzrb5lhuvXWALrtHq/GJfMiU39sqzhydHK78iMvSh9OazT6g0Yl08kiKOJaLojJwqCPZUl6lRO5MVY5oHKP6wSsL8s8C8bgHRZmy2p/NAmeQ2OUVmSb/mhE1Hia1a69MU3Y9ns5tSDGVqqy9opyuht2LgJ0mhm7W0Wv+WE1IhxZ5XukjA+Cenb0M5xO2CrISOOwKPTHuQ4YK3lPJlx+my/s8p3iRifhBTgzNagSxPgsvm+d+kV1I4HZm6REHTaZzmAo7H1RLQrR7cRYwScKu5gNR0oSyL8pNxrzjoyQ7NGdLtypJswRsMh7IyVeLCajiMnMkVaPKVUrIvYwDdjCU48JY6wyg5UysEGI46cyJSHllBnigLg9q1n83FTNR2qjgMvEV+uIzN8WePh1zn+Dxg5AkKpseWTKutQ1Rx4iY7M0KyhprJKwjBUqbIOVMpBEx054RgaBI3KZA3EODy5CBQUh8JSWjDOcPw58sOxNRgSldkShIFRIfVws/Uaw0pNNOZwLDoyQ17U4DzVqQYkYqwTKf3hcm8NAKQjIhG9DB1PZrjIiLPGnDsvvicMiwYuJptW1bRgvHRBTmmxBUci6R07MsNaVqNiV+XqXYihwhepAfXUbgDbEDgyw7VvLLH1c7m18OEi7QlPi3bugjt1QWf53ntTGuR1jEu1IzMy63kplV8QYlSD6qWh0XiJ9EK/5YTjadQ3q1zrjLB0Yky2I5Dqf9n69O3y8WdrLEh7LN4/vTXTHPnRhvg5MNXp8AQYj514HMUkPKQ208HrW2b4EscXVOev6cX4gvDFfVBIf9iyyKJ15If79/E11amRx4vp4yfTQT2Qb6kJiCMzrqjSn0SdhjM+IRjy+CVqKfFiO08k8eITdWSGeTWLBvL1mPrge8KyDhbLS9aC4B0LWTcdI9Nbyiz1U7KccOzltp8KuahnMO2ynlpzZEdXaO5QX9kUxId0Vj27w1k3MNYffZEGpaX7FF6cxdf13AbckiM/PPgPlZXUE5ZDcdvklL9OEUzdcyxneE01efB6zeY6Mv9NTn3qjmtQSViGW17MFSvVMPJymRNAxtnVXSaviZ6c0EszRFdSw1gYr2vP6D6VyXHNpgD25ISmDDWVVLr4OmS/1cfKi4+2iMrhLM1YuGyP6e9tePJDN4mcAZPW+Hvx/Ym7l0b2Z6t5keWIYTX2jyRHX0vm8+TElQa66MpqGAs/2L44KRuaj57Gf8na2hcoORHt5rFBEx2ZoVlDTWWVHhb6RO7eQHFoZ9vXHzLNZktaIXMdOaEDfKiprNLD4mTO524pPm19zNZtdph4zOY6cuKU2Z6bVac8LcA4a+NsjjWSMa/LkRM7JvvXVP2vDIcqDmHJuRsYvj5PTlhdYNR9rFwDkupByk6hvFGrZF1asi7bR+klb96akY6cfxNYU9GV1RCW/dapsd4sTSmSdUnnZRuWWzLxW2ZIMx1qKqtk3J7QpUO1bVFkYenJw7A88xL7muvIDM0aaiqrJHymcfLRFES97WlJ5iX2NdeRGQdnu5rKKgm3HZ2+SXlBsgxv2XCb9bojiZZnXnpf0x354UQw1FRWSVjWst1ykd21kpbh11xHZmjWUFlZPeFLMomsgo7MjDmVn48fTXTkxJnemvdyWaZ3xzfjkiXX6vhd+2Atg+XZkxNu5YaaSioZixO7GJm7yN0Xm5Hlfzr218fXdE9+aOJQU0klYXGNZOtL5K6DYJYnJ44JdjWVVH5hY2Ok/HcsS8eH4DIvyYjBXE9+eKoZw7byEP7ANszFu5yXdRo3tPWDtdJbBz1dcQa4eAB7GYmBb8abfPy5z+ayl8o2V9FtgHr8ih2Z4TQrHpuiSQYvvhnLhiSf4+7lxRkFR5w7+VBnZPv7ZtZhg8GRE0+nTcSZ+nTa8T1h8Zde6/XzhcKXSyaC6Y7MOJOtvYhLGWgvvhm3BbIN+R2/0Plrnb7E13S8JUd++CkM9ZVNYXw1bLFncUQf67HMXy6a7sgJdxNj2FYewohxrOAYwi8Uh7wjJy7cItOgVtx58c14k41v6TQuGraviaQevlBHZmhWkqHXJ4KB7wnLUzmP32ELwxnNxdtwZIZmSVTi0pj0i2/GUiAjWyb2NFRhCIO5eBuOzHA86bC1l/jge8Jt09nW3/NnmMMQRnPxNhyZoVltjjmEgVsB34z3tnc5rLFdlr59h7WJpq8PzcXbcGTG2ZBN3KZ7+RffjJMuzz1FVb6yqzNks7zE/FQROBbjHDtyQlOkE/ymzdtefE+4fWBtW2CkcGkiv+dedVXu2ArDSji6PaE8m05mfcsPucVDZWX1hNuJ5bC4YZKunQ0btb7tbw7jO2gaaDP3mE13ZIZmDTWVVSLWMWHz0MBWVU7G2W61a49VnlDHYK4jMySLDzWVVSLe2/s4DmsyglgylQ6rCaOx3qNXPEFzHZlhUoIO4V2DKw++CdNwxmEulQy10pQ+iU2w/VZOOKeeDT2Z/yZ78rj2MrInFd+MpeteWayCiZwBj8siF4ilx/Nx9jTqNvsfPXXakRnFeYQ6rndcAd+f2OgZ4i47swV8d/l3dXVofrDuYpQTsclaqTFsOfhnS6/25IcB4ixTovUrfPBNeF/SJVOohTllCl1Xizm2WfVYdJzt0hL1MO7Dvoo38No69UxmfyMxCBH3WKwohqMrDIu2ueGwOpEvvhkL1/Q4erhqO+Tfe7iqvbjcqWdtWB0pm7l7MyvnfZYDOAzotU3LIbuYCvgmvEsbz2Pv0dqk/26Bvvaij61HX3XesqIYjpzwhY6HXKcH/mJ8KTjOcPx5vw2jr+PhV34RiDeZKk8LYYo//bC9FL0s57eh+vEuK79XxPjuxX1+GFt7F3ftYVXG29/IA7fkKHpZ8BId+SGvRkSc2rnxxfeEdY7pD39tZlm53LbQtpn6ND6WtOI8TnVebnK2P6wVrCczHDfl+CurcUoffM+4NGzNSqUTdtn6eGomllEoqv19M9c4qG2eOGzD48kMzRp3X/lJMN5kZj8n0aQen5wjJ86r6fHjyrFkwhhvfoO2hxAzU7Ky4ISl90TaLO1ae1tcnVL9RiscXaG5Q32d48evWRhvTuJFzhZCUv97togXmOvJCWOCQ011Q9yEMa6c5Y6PvAFeZnMdOWEgbqiprPIXW7jbCezqlJVKLrO5jswwEDdEV18lxZshgKvJw2dPhDGzztlER2acwdTV1Dlm/GKMK0s6Ti/z3fDyYO0bffaUIzDXkRmzkHpgrXKQjTAE4jCAi4HdS1z+du47xG2abQfryQwTroboOsePAWOMGYK5l3iUt17vBfG6PyaiuY780MShss6x5BdjABcCu1rZJO/GCEETHTn/JidMRdfP+LGNIYgxFzlWGC7CH9eiVIK1epfuSIscWbOddshcR35k4jO0q0+lQIzjBscTYvxEHDn/xixdQOq0mCCGBadYF45iU6hk6Z7p5+9fHKofous/rHGAcWERV1Xa+1MxrOqlXf0wEc11ZIYTxFBZWT3jdzHBReZKQsIrJ+Aym+7IDL++oaayyg+8zTM4zOxFWLEp20tEcx2Z4Zc4RNfPBeT8WWTe2bxIIDUd/YsTun7WIyuZ6MgMzRpq6ryAvBgWmSJFe1O5EuDdTMyvia+5nszIrEdl5TWO8fuRw8dflMhpqWporicnMuURXf35BjEuILCwFOE352XpJp6PiWCuJzMy8VFT57UM8LuYlF1zMTRYUqTPWzYCMJroyQlNGWrqPyy3YAosILSwyMeWN+ty3LE+uaS1QJf5Njz5gbmvyjqvay/GtU/qZGQjPhUJvDa8zuY6cuIhLwVXNDvzxTfjc9HSDvb1ScaJeZQxlRtTvD05oSljoajTogEYFpayae/n3vfGcJ5MRNM9meGXOFRWXtc+8DYtLEVCBMlC32iuJycc5kN05fXrA8+LCc3gUnaybWiWyURPZjich+g6LxSAcTGBWVs2o8nSjLSRUduobLOJjszQrKGmzgvFi3ExEanJ+hKSWc5vI/WP6MpqPnCaFxCcqYX+ksr2Y6IjMzLrEV3nBeHFuGjgTC01gJL5pYpYlIo6hshER2Zk1qOmzosDYFhAcEaW0nrt1HvNJjpyIlMe0ZXVEIbFQepF5UVLHDUsT063+uXchDCnm1oy0ZEZmjVU1mlt+sX7vFBokXPj5ZG5jpxwDI3ZtvLM+4F/pkH8sOGDP8XJ1/5+M3Plt3YGLIKtR2aReuvJohKe3jgnTLgJmmL74pvxJuOsrFaFfpNjqpWdFGdyNheZ99voyT3zSp2mPsTwkeOXBV/cKTTClPRkckoyVW9lQU8Rp1NHV2Tuo7LyB08Yvjgc5jD8T4nUJ6uciqZ7MiOzHtF1+soQv1/iqcXuir4gNMX7bah+iK7TB0/4/crg6zuleHjeDO+aPqvJVKd9reoCOSWnNO865hrWv+//3sbipk/6bGfTMRe2s422IZhv1bMtDsr1PMTKOYmE28eWj3zNnwJ+IpjD6MgJU9gkTbtXYH3wzVj2KLlchoW9ZmFz+nLxi3bkhDHpRYgnm5ry4HvClxAFLFKqkYjF6vQJ8/7o+a5SGzIbjdqTE5oy1FRWiRgjXhgJ09jfphSL/ZR/30Zbi9dcR2Y4tY44cZ1ixoAxriyOlWwVwTq2ttX4QvFlOTLj0iVdZWX1hCH0jS8FXxaa68iJTJGiB0eyPOkH3xOWOGBneyDFB6g5/OLghToyQ7Mk2nnYE3rwPWGJthvVkGk9QNMBc/E2PJmhWRKoLZd1chn4JkxUHqLmvCai6Z6c+Al1IkmdSCWAgXhC9J0Pas76Y8q3zJCQIhngl5WdePDNWEr0H8tm0dQk81AP4CJjA8gBSBpAMosjP1xMBtelEu+FMXBjkMtAEwfO2jCb4+KDi5KjK3yixyGkEqVbPPie8NmeonmXmyXy753WswhpoFfMyGV8fVsbFA3bG3BkhmYpA/Iwswa+GbejccNGFJBqJof5I4i0woQUmUSsYoY8zE688+SHJsrQll1JBXxPuMjH3+vVCJFzFKh6nyI9XUdONOae4lN1KkQFWO64bYR/cNtNi9utT7NSeMHYJFiuCcs4OfLDpyVPYr/syx34njCMGxxP+HLxpTty4hfX1BQrOvTgmzESUpCogi8RX64jJ2JJPjXZ61SfnWq1p7FPpzxEyit8UyWptTC1HP6WH5o41FcyZcLaHVsXJbFO+9TdU34i5BvCbXgyY7Ou0WlquuMHUwIpJIRyw+Xv30bqn7usdMeMD8HWdeUSB1PPGcT0SEp3fJ+WJzMy61FTSSVjqUWz9n6CWjjIUoIwPRJTHMFcT2ZIBl6K9YmogG/GsoPIa68+vq4jrTFJTl8vD0ed17EjuyMzMmuXxCfr8/bim7GFwXtj5UVqzlgHoEOf3LLO5uJtODIjs6Q+Vi7qsHzxzbhoTsRm46OdZPJlY0jTIK0NRpZq39mKyiYhtOXDnpYjMxzyQ00llYyFZr90s2Q2X3rDUUrngDQPzD55TffkhyYOlZXUE740zUMd2pzOAWkeYK4nJ/4Su5pKKhnvsgmxJrfSI+TYLGeV0jkwzeM115MZmjXUVFI54UMyUWwMyTlx71WkZe3bV0vrhmwVMNeTGZn1fGWVvzjEWdwbkAnQbNjnr9L5baheEzy1uPWLb8aSaZaPzbCEG/vXdAnXJdmBrJzi6FmP+beAI1Me0ZXVID7MX7DNHzN85FkKBOdki8wic4/tpchcR374tIruHu1lDXxPGO4en4qaO14cvER8uY7MaBP8sK/rRJsHjGxtzI+g4ygeU/EkDYd6ouJ/6wrNHT6qOjG3Cb/sbnJ1gAvE+W2ofpDI60QoRwx3ya4RcHWAWURG/5YZ+z+V5tz9nx3fjDGZBV8ivlyk6DtywoP8IILXiRQOGInj0omn9Hp/qVlR1vMnbwdNR7Mc+dFJRibmoygh5cX3hGVMdBL5Ltm7l5W1lD7bDVtpVKDrI/1eaGVHOXuFV5GpuwlPV2SuVL8/Nqtf+uB7wjLmNuO2p0W9fnrAEuf2sfYCs7usd1b5VTLWDmvGtsl6dCx2CHPkhybKErtrp44X34x38R1Yo7VNiLhHKmau/ntvbNs+wnZM3ebbwNtz5IcvfbzEyi+U8fFXegG9tvVsY9GKzeY2cRQjO9EAcOTE2So99adyGhBizD5BHz353MEDTUlZkKzlyI+e1jOEKw9nxDjk8eCPh3rnt+F40lxnzbV/8T1hGMI4tNGRic5IR048bvpQrTxsCR8y41s5VPLcoUcPvC445B2Z4QsaX0edPnjE8DWRBxC8eJIycazmxsXJwpEZvrjR07tO/b0RS2jzOPsHfIxA3CYll7I1O6L+zdQb/FtmPOP38VF5rCDGu8enQs5wGFuOnNCUtl0qlrL94nvCTX3Z1x9syVc9J+xNxKIELZy3cD5zdIXjbIirLBoxqqd8L0jQwinUkRMvMn2sVB43hJMkFVs5VEqNhZRZHGeOnNiU3cKQFfA9YZhvKCiCwRIwEU13ZIZjK8vcY33kH3xPWPzmR3fbo98c/ekwh+Hc5sgMx9CY7uq02gPG6ZGc1TBv0e7gW078hPp2rE5bM8C4ZpGDmhzX75PDJ+rIDJNDx9dR583GiyndEVIZaReKu9NvOaGrY5yGK7u/6JT8usi40AsWboFSSXCq9mSGp+fhw6zsz0SMPk/0rZOvHNz51LkRe81DD3pHV+iPGL7NOrtlX4y+UHR6oxMbbwNvz5H5r3ykux4lJp/Ci9HvAG4PdIdk4dnltPd/f5zh6CT35Ef5q8/YqjzOaMyBuxZ9oVShB8alIyd8WsNFVmcnNmB0qcEd45NA9z++aBwAjvzoKPGEG+vcKebFEJ7UxkRa1Kj9u9LNNnMCnPL3q4XBscuMIzMy64mO1jlS+mJxGrd5SZ+EjN589Jaboj5pJkAzV5tIrLPpGHF15IeenNE/p3IvHcT4JPAJCb+0TWo/PQqwd4EjM/TkDDJcZWIcYiTPIXsNWW3C5s+HhhQIY5MAR35IchkstcqMNcJAEwMWEhcRwuJCb/EYKgZzKu6exG9d4YseT6VOvD/EQCVDilmRVjDl7D6z9WGK0BP9lhmSD4aayip/cf/6gGKGT4KeEJjryAwr/YxJofIEARi/RPpCKXAHAT2MM8qUOPCivYA0BcXTFT7F8SKqP+TxxenTsuY6LrXDkwM4JvB1cfUfGCRgCmKYF2luc+SE0dpRfazOlchejCW/sBQYhksp/AmRFEdmuJ8baupUfQwwlvnC8l8ULoWQJ5rryAz3bUNNnSqOAcYyX1j+i+KSEGekUCiY7sgPdyVDZZ2qjyGGkl9YCgxilBxzBNMdmSGzZKiprJIwVigTulm2kphyqtHcbg6dkrmOzPBkNRxJlZ1KhMEhgI4CrLmFba6w/ZUjM6Z2LKNEGBVIQ4xF1PArw6+PYpEQanVkBmatV1N5nNqj4MU34W2RY+11dOclREkguqH8QSu96smJTZF3r81yXnwTniIgTxRjVSrjoi/O+200bp67rHzHhI92Irem8exeQ7cbhQjep+XIjMx6+H114vq9GPmlXCANC1e9Ba244hgSQr/lRyY+vL86cQAJP2WZsFwTBfQo/ghxSSwRRnXbkFYLRFHkHjr2RGNR1sdSdplyX3wTbkPx+ivDk9gsKsdug6G919KfouyTStr+yce7HhIPzbpaNNwGVdb93CpNWEvWr3iVSaEcavqa2p+Wssz2II5uT0gox6ZO+xffjLXe+Jbmz4g/tV22pRrGX2XabAudfo7SAWz8TfteJH61vvK3H12AI9OlEXiv8/vim7GUrMilmIlCDzdKOLYIpNaBq2xdDzN9lRLFpyY7rnLK0hrYt6srNHe83Dq/6AfzwIBZBWabVdLVy2q3JC7jYl7RVQool93egHTZKpYp1rH9Vu6sWGsuz4bwNsbLrfyiEcNg2KTydbb8Xnob9BSF33bZk5aGeX21W9f8nHtWaYeptbRvV29kurTx0EBlBXwzptXuXck2SdNrs42Ne5l5LDltbZ+0bGVsfMt3YpPsKl1Te0bHKi7s41DXVBvebcY7Nvv7Q5zN6l5fJSXmKHp+WnednXSjuMqY0woFt2tzdNvPgKnT4HkxLWewJNECzurb47hWu6W2GWtnfnszWbAGMlbxk7fPrf/N9ae1IOYB/OKw7tDoblD9rgeIk7Q7vPRtHDJR9kFl1UtK70n4FpWiYlOOzLgwWRnnLVKJOAv9ZtG5/MjCoVrOXtVEOJ46UTYTr6cdBprryIzrDnU1lVUiPlaJgPZqJ1rK+9pns5zfhoV8huhKaiYsQVerhiNf+rH1rG2lNlhZETTLkROaMkRXUjNh2Vha1Rv9QveeoC5uLSuJW3bhpCzHNZnoyYwLrHQ1lVR+4Wd89LNUEbrmsesXhyZ6cuKaQl10JTWMZS+bRzGePHZhx1XWERgr+6Z/XyYTPZlhVZMhupIaxqKmaPi5LEL3O3vVG5mKbQ4rcug8emY3mOjJDMuHDNGV1SCWYnXH1QtfyDC/jl7JRP5Gd1JFDo7H0dPwwURHZlh7YaiprJJwu/t2lt7HuCnWVLTIexpYTnRte37N5joyw/odQ3RlNYRPpTmYWZfsbkyNrEfFfIdkliMnNGWIrqwGcRKVvY5Qag+/mJfilI6rZTH1aJYjJ67Z0UVXUkNYYvPtH+xFtA1DsYDqKf9UzNV0yj8VW1jIREdmWIViqKmkkvDRdpLFdtGIz9ROcWXbZxM9OZEpj+jqqixCQW7/nw3bto4U20udcvpqarKZ1TYnxkI8hVtbrL8umuvJD4tgDJWV1BOW3W+57MPWE91lT0s6ERYr8HNKf6tiEwGa7smMzHrUVFLJOJ1/56JMwiI723NJViakjZVzNby31f5cSpnM9WQGZr2iK6thvP2dm5UGkUST00iQ7eR+yb/bS2wq2wFtm010ZEZmPWoqqyTcdoyncVVOSeM8UzerHQdOc12ecuI6N6vTgeY6MiOzHjWVVSJObQE5c3pKgLR/v2aznN9G6h/RldV8YFPZTk2nOShOafB4Wjyjnbjbk8sauCITHZmRWY/oymoIt/3paV/KJXH309IiGj4E699IztJpjlsy0ZEZmjVUVlI/4faELpt7xO/QsD4tSQw4r8twM6WZJgvLJdlCp3lXLx1/VgHnktjaaQ2KLjlznVbGDW/VsyG6jUd9JVMYt3d8WcnaU04pl8V5LzmZXFYZ7Nr19vSFXpt8FnasxVvy5EcmPiorqZ/w2bDSR0/x4l+7PRVppXRZFPOSYj+XFZJC0z2ZkVmP6EpqGLdN55X0+HBJKLc9oF1NkX9fdQlHszw5gSmv6MpqCB/tJdoXdwnb9dq1MhOZ4vw2VD9EV1ZDuA2BK+vG5lrbpHAZN/iSLOw2eMpsliMnMuURXVkN403wocNzbyqL3bGQx66sC9HVvqp29zqeyERHZmTWo6aySsLtg78s9/MSz+Blk0UbGe3rvw6drC5hiV2WO0b2OkIjux49lXQybrffjFDmJV20/23L41XMPUdmOrJCcx7p9R/0XkKeX5dVvZt00f5C5oHzMovWpV1YmI9s9UVHBr7K6j+YcUnV8XXZhuZ1EwXKUiMLfQmRHa+CytqmiyKardbeJST6dpHGg7pEm07MbKIvL7Lq1VBZHV/IQrYuSY9vl7jpx4Xc/SLazuPHRl9eZNWrobK66UKHQdYIGV00e9oy1bRdw8akNl4/FvvSQxsfffUfLLlOfU35eTzyHA9lSDbztlP/8KSr0m8g6Q2Un9vxlUXO5q7e6gHi1f1zZc/o1BlJnsgu/y19mc235MsMjXtV1h8D5qtmjvyPXbUNfLuy0NWytZfXrpJNJ9JUc13GrDyucr+ppDe1fdyirz2iyT79fyv1Aqa+wMIhPlbd1pInHLzZ3m8jX9wjurIawkn9uWrKqkSS3qsCvN/szX5NdGRGZj1qKqtEvCl5pDcfkRjzfnR3MrifwbVMHm8w3ZEfmSjRvB7Bf/HNeJdou/HoCaP/F3276K52ZMaRla6m+uo1D/Ew0ej/RX8umujIiSMoXU1llYyFBNAjKOIsLUoUIFc0mujICaMmQ3RlNS6WXIyzd2IwrE8F3NLsZgZzHZmhiUNNZZWINVvl6vW9X684meX8NoymDNGV1Li4JPFQWkwAveLk5QYTHTlhNGWoqaSSsbj/eqREQpqlF0RGrzh6ucFcT2YYWRlqKqkk3M5Df+0InCdMDnow0ZMTRlOG6OqqbM9aXM7WnAYwO+jJ+f6Y6MkMzRpqqq9+ae+jWDc0ctCT8/010ZMTBnaGmsoqP7AGbdakrJzu2X6d9eR8B3MdmZFZj5rKKj0s+YOl5B9vOTviX3MdOWG8aaiprNLDu0T9rcaaPpxyrebZBie+5+h3ZIYBn6GmskrCMj6u0oM/4k7WUzw57skRD+Y6MsPgz1BTWeUHtuBgOyaeq+4S2XEPjng015EZBn+GmsoqCSdxrF8Wv8zi5bYZ/Gzr17n/xBPIXEdmZNZ5iK9WyxC++GZ8iWf70Pyctoxcf1rMW3A7vpzJvtZTsZJ2PDlhZGWoqaSS1C/izS7mTpaHcx56Xj4leb3hNJnoyYk8jqZG8yBefDMWR+J5bqa+HfFOq+VHZqG5jpwwsGNqLLAz8D3hIl5uC+xIOd6B93ZyOk+rei4JwKd9WWQu3oYjPzRxqKysHrF4p6+lPyHA6KxHJz6a7sgMY09DTfXVS7joMhIVxQrQLOe3YYxJvM2b5qy++J5wXv+uvYcqwPdP/nswC811ZIZmDZWV1SOW48BlGeDk70f/PZrryAnDYENNZZUf2MJga8N97pGo7sAYhkBzHZlhvGmIrqyG8CWe7d3iQeLvPCwgCGGIKcTwmujIDM0aaiqrRCzHsLbadpwGppgA+fvf0AOZ7siPTHxUVlJPuKjz3Z6EHBk6plgB+v7BdE9mGHkbaiqpJCxxysuo8qdQa8VT2yOFb7AAff9gryc0DLc9eior5QvhhLaLYmG2Sy6sqNfkXYdIABjtCw7Dbo+qyno/L8zPLufOdbFiE5d4duTiN5TghgV8PWFo7FFWJ810sarDMC0W7V1PdRxb0BJd+OSZ98MPrp4wTPVorpMZfLGrG3qEeuTi2HqsZ9eLXz8/ue/pplw9cfBqKKuTZr64RFnZP9zd7K4Ha11pcQRrKKuT5ulCHcQ9xLJe6knWefBQmyzX8Tr0fZs3gpz//xAjcJWG0ZtHc53NoIukPvEevd3kYn1iIac6zy3Qxa50dLO3Ce3U+9p+btLVG3pch5O3ssOXsPWE+PGgomeViL3gLHZkRh58eV3tNrSv/IPvCWv1G/2aclZTrKRt0TSt7uUHNzu4yifPvmTgWLKloysyV1aRY1cG94tvxqfWDdL9cJaj/fC+ossd3eZgOt6SJz8y8VFZST1hfRKHFQzWJ2TnKx4A9EIf0z2Z/ypUY8dEVEnqJXnlKPoJkNucvfmPiZ6cMGwz1FRW6eJLPbF5xuh+R9e6Fzlw5IfmDpXVN0VyhY7z7OEcKYX0j+50Mt2RGU8oXU1llYSVibtYugdGBcAU57eheim3tmiFnBffjKUzY1nN++q54j88/udsuiM/jCYN9ZVN+cCqXtoblk1PJ4f0fSu9Vy666NHljrfhyA+jTENNZZWMxVs7cnauv5IsgeFQ4vD+465HVzya7siPYytdTWWViMumjuPZt+269B05oSmncpLNlIFvxqWt8T0Dlvzi4Nv2XPF0G478MOQz1Fcy5Qvby5KnYmn0ru8cbsOTGYZ8hppKKr+whXDUAb38uO4Rg4mezNCsoaaSyi+sQ77txf7OZbkmTG58MNGTGYZ/hujqqxRv1rmuFjkAdz2531+zPDlh+GeoqazSw7KNPTfzbSNG1z264tF0R2YYChpqqq9eFhYlxiveHkyue3DFo7mOzDAUNNRUVklYSOkp2RO6xMSeYgRRBDTRkROaMtRUVvmBbTy1CfvMPbJ5XA/ORaIF5cdcR2YYiRqiK6tBLGXkz6NYIEyGbe9sLfUAzt64G81y5ITRp6GmssoP3MM27aWUswe/2tM6bAqVYinnYTmIaK4jM44+dTWVVXpYugecp5lySrDiXDoWfrwlkqK5jpwwDWmoqazyA+uLaHuq4RcvkuE+8CUJEpeFedBcR2Zo1hBdWQ1iocddvZ004qt995c5s4psQIdZaKIjM8yIGmqqr/5sH8y19YiTuCitoDliNhGwIzMMIQ6VldR/YVNZFmF5WwhRXqi5zMhER04YQhyiK6khldIu88q676boAkYLKKABcRYw15OPOAwzDlMqm/WBLeTY5ozr0DMgBUPwNhw5cf5YF11ZjYc3Cf+U8wdTYIQCHa+5jsw4ntfVVF+99HbunG8KhnBA4zXRkRMG0Yaayio/sI0zdXkulnqS1NnWLzAcwuGN13hHQxhee/TUSSlfXOrQXn8vMCbCIY7XZlduaN2jqf6TDVnd7VsPAOIFhUU4yAF2u5LDcNujq/6TFVKdw7jVUyhkimSgsa60ML72KKuT5q8Ly5AsSuZONvSLxgYsSZFiNWy6KzrOcRvyKyvji1PHSU9QHBeWsIThmSm6Ata6osOQ26OssubpQgfK0UOD6vS3C47IUEAFTfdFxzHBoayyZr64dNSU4+eCo0RorS8tDAQ+8us/aV40vHCWHguCuAtHSjji81rriw5jf4/mOpnxeWGBQE15uS7LndToyrJb7A+jRHQfrugw3GfRm9XCfc/FPV1Iqal13TTgcEn51+eCYkEUuiFr6T5cPWFo7dFcJzP44hRrd1NGFz1YZc8WI1d8H67oKATw9ACs3A+QegOm9AQ9pOR674ZAcR+MB1EvwW+ZoVkS3MjazezFN2M5HPW+EDlLU6KkCwSZiKY7cuLVVepjKTfzxfeERf0x6jXIvxttJksztb4/cn4bHjdH8ZU6FWJBDNVPsPwI1P/AohtUjEMqg2uehJorMq0chXLKz9326vKkj6OzxsT01GuNSHzn7Pt/+Zullw+Qjh1H35VK8UP7G/1tn8kBl/OQfnLnb7GZF4c+1lErq851s16MxaqgiFWRgn69rJ5S6XM276Aj598UKVLRda6V9WIoXIWVo6iiFJZxkoHU/sbwpn9vdHuReViFF7gNT2/slOq1kCqXbqIyTlA7CasB4YujFwqm4y1hxSpHV0w4l4L8Wg7qxfeE3xdKLxqfnDSEzLavIyzfVbbtmic/fKJDTZ1f1ovxhUp/p3yZl1EOCrkYEbhsUgby+DHXkRkXE+lfaOWvFTF+0UkKDOar/Ex2OKnJ2LW+O6dsU458dmam/LtRYXU+7mdXR284IY7xVKfPAjCMP5p0pKRne3q7mf707Dll5Th6TZT10rB+L+0iLITOrZdS9dd6zW8J355jT3hLbVpu40wHyYPvCcNYhAFwSkwxb9k491IH1Np5eHJCf90QXf3PAjGMSz1QNzVlNsv5beijG6IrD3/C7ydy2l3aSwRTvN+GvriRKVA5a4Bwu8tzt7tUf+6ejQkO5YGgxA9lHDgyY39JryRUp8JHgLHykBSGOW0be8pMXa7j8SiNWk5Y48mRGfNV13bHdlp98M0YitlgkZtr2QUrw+AUSlWzx2qcSLxpM7OkQ+5pea+e/GhP+ewLK+8RaUsL+0jm+rwcINz2OnJChtXYutZpG4v41PVUt6tIX0Kz0FxHTkz26moqq/zAMpzb/C7F1HWo5kNLxG6d9/PSl5iO9JruyI9MfNRUVolYjpXHudnLSrp1/aEvAZ5oSq/pjvyQgzZUVlJPWMohH9fAUk7cyA7E9QETHTkh12yIrqSGseQjLj3P/tDDQDa8jYMB0ZccOpInP+SdDTWVVJJ64vcg7weoSWCiJyc2pd99nZ8E4vTwgZYkRBpdv4gnhFwfMH0y61N+yDUbKiur/8WWdiuE6mILEdGX0FxHTljFwETr0ebBN2M9aKZiye1AUyKqEZiF5joyQ96ZqdTD34PvCV9SXPx8WHfFmtcQewrNxdtwZIZmDZWV1X9gG0NtqizWP+DQ4vxHN1G+VtuIk+mOzJACN0RXVoNYa/Rb5JeoSUg1QjYUmujIDGlvQ2Vl9YyL4F6sY/krg1K5KzZ+D1KWgIKEt+HIDysaDDWVVSLW2Lh1wNI15bSIMFGWiIIE5joyQwrcUFNZJeFTiDSbOR+AdoRmOb+NGXhddGU1HhZHdNsc/xO9yGNGeTJD79BQWUm9iyVO3s6qP1QjNNH5begdGqIrqfnAVm9GTpxaD/ZmxpTDgPJkhvS2oaaSSg8XoVmcdtgnmhLRjogZ9ZjuyQxpb0NlZfUf2F5W+9bPw/hiWnTyODsF6WVSoemOzNCsIbqyGsTSOXJwfRAjfQnpSMyYes115Id+sqGy+qZoyddr6Unv31QmNNeRE/rDhprKKj+wOUHbqL6WTt5C+hLQkdBER2ZIextqKqv0cFokZXfrFCRgUoGJzm9D2tsQXVmNi9uNX9v2QztiZtRroiMnNGuoqazyA3ffqdTF3JGCdAIus7mIHfmhG22orKz+A6t66cF7pWRPro2hK13GL3PoSHgbjvzQpzXUVFbJeP277AxY5Fh7FeXtE30J6EhkoiMzNqurqaSSsHxsl7U2dqlMYKInJ3S7DTWVVBIWbvJ19VgT0I7AFO+3Me2ti66k5gvbHWsNPdudEE8JmUYONcpTEHLdHp11MuDrYhQbScrXsfgfcqjQaFdYyHl7xNdJl3+xrcpJ2Xp0FMlFzIQCY11pYcDjUVYnzZ8XZuClFSj33wuiHfmMK1dPaO2jrP6TGbuyelL6pSoR7cinXLmiQy/0o7lOZnxe2HPS8dQrfxOXikx3pYWB+kd+nZT5F1mHkMV1mUs18aLAWldayIN7lNVJs39xKMXH0vLUfy8XnYOExKovktQ/iw49+o+yOmnmCx015/lLO5pIUmCtKy206VFWJ82fF0a31CF0XUQ7+mFZ+YwpX09I4Xs0Vzbj+8Leai4v04iIVWi6Ly0kxT3yKyv7vrCqGWlXPhHwoogK1UlSaK0vOmTIPcoqa/YvtPaKMKaMiynf6mrTGNPA0HRfWsiQe+TXSRldrPIRrjZzTfwu5mqBga60mC61A11qB5rTi+XwrdmMU0CHgjIQQ2K61KfMyKxdKCGnHvZefDNOi7QQ1GmWYktoIpruyAmDf0NNZZWEJbJ27RZDgngSxYTAREdOaIqq0dKtL74ZS95bWZJF0yBuRDEhMBFNd2TGMcmusrJ6wlJTcLl6AE+bJpqJEE/imNBruiMzjk92NZVVEpYej1sP4OXlT906HLih4Aua68gMY5JDTWWVjM+R3ZyLRDysHwMFayD4QuY6MsM45FBTSeWENeJh0dl9eyIbH8GXNJnryQxjkkNNJZWExdddjDKUL+34alGRj+DLNpnryQyDf0NNJZWkXg4epZiDfJHuyWWxmhcQuKFAzGuuJzMM+A01lVUSluDLudoLakNjYIwhoYmOnNCUIbqyGsTSRLVcm0XQIECDQRaOCb0mOjLDOORQWVn9B7YAXtqEBGPBZHFiLrsFAiGGhKY7MsOA3xBdWQ1i8QS2k2uZMcaNKA4EJjoy45oXXU311aclC4/GomPCRtrSPwZxOFb0mu7ID4N/Q2Vl9YS1W1iPawP2gjhoriMzLsXR1VRfvdQ3G9EMDNxgIAbNcuSEscehprJKxpKAfdjd75LpXHob1O+ADprryAyDf0NNZZUeLlpd9vwN1rwBFzLRkRMG/IaaSipdLJvInul8yBxw2q6SY0ivuZ6cuORGF11JDWNRaQWSNTrbMQVcOA70mOjJ/DclN1RNJZWEZXNyLUbvxgANBlycmJAnMy650VVWUv+F7UlIK67V0iAkUjuwF8SB2/Dk/5tSHKqmskrEQsS8bIvnBnHQLEdOXHKjq6ms0sPbImEDC31i4IaCL2CiIycuudHVVFb5gS0VoFzSxOyYMQZuMPiCpjvyQxOHmuqr1xeU+4tL0s/M4toYQ0ITHTlhlG2IrqyGVLaltx3pLLC3SjTh+IgbvXEgNNGRGcaHiqQBa4m9F9+MzyxZpYu5pCj2gIEEDJ54omJmtrbYsu6/78U9X2RpGWUsM7r4h5gE2k135OsJrX0013+wqVy7NrhKPxdTTAJDCmi6LzoMeT3K6j+ZIbOTZOj+XnAUAaz1pYUhrkd+/SfNyyUX1oiLLyjyQCEFP5zi6omLTwzN9Z9sWotcHCWISZDprrS4CsVQVifN/sWmo6aY39yPSZC1rrS4BsVQVifNnxc9rUMuzqv8XFCchKx1RceZFkN+/SfNwh1dVythypEHDhxwzAOsdUXHVSmG5jqZ8Q8XMoTWdf29oDAExRfoplzRcR7tUFb/yYwsmtfek5rCEBRSIGtdaXFliqGsTpr9i3bcFb/86GYNF360gu7DFR1Gvx5l9Z/MKNoAMPUYF4RG2CZXQBjWeuRXVjZfSGSj5/2JW6dd9Pr0FhqxNtEUJ+EACJru6gmX35GWVSlFi/HbcQU7sVA7dWyPDuldnsyYMNE7q9SpEQxg7MSCPcyxJzm2TUdz8TYc+TFlondfqXODGMDYrQXaomCbdTQdb8mRGXMjupo6d2J5MbY84X7m0G+cWqi/5joyw537qL1XuQ4flRCEonhYLI/SCCEtEEsOOjJDTtxQU6f6fICxKB4Wy+PmQ9CUiIb8a7ojPzxcjOJ3darbBxiK5X10/zE2ITYoQtPxlhz58STSC+HVuYbfi7EqHVSr++oEdEy3QbUAHfnhLn6orHOxPMDf1eq46dFrricnNGWIrr5KLKiHXYGoQdFrlicn3JkPNdWt4UeF86gTEHQI8poeeTIBR3yCt5VAnfsK0AW0H/juMmwdiLnlgisvtOpRV+fWB2TI1ImYugajkb6MwBLs811/G5NPbcqxPzj35eYO2JKMJv9m/y3ppnvR47yw5trwMhpL+5MsheQuuyE5b19Pg2hq1I4t3H0Tw3t9rawfXbvxivt7c7NsiYcPJ4Ec1BZ9KuXjzn0NoamvyvrRrRuvuK93Wd/iXm3QJn1J5fow3JcZGvd26K5um3G74rbX3BK7nSXkL4u9yDbvyNW6021cHzfFN+xrD2/jNad+9OvGK+7sfSn1rmxmwKXf/WhQfgoXaTm2r1v0NQSmJpksD6tx/uKbcdokc1iJvG0Uyr/rs0zCzNbERsHl6djsyYlMedRUVklY0r9PLUSTsnbS1QBvkuIIneqTJHX3ODTxhsx1ZEZmPWoqqyR8lYeYskitnFPDlGSW89tQ/RBdSc2EhZajTsMkFTS1nLviQ7ASWWTmOKwvepbKKMdpJBU015EfmfioqaSScFEujLr181qk1/DRcZZSV/tkoicnMuVRU0nlF9anpf0V9l7yTAgoq85oDUsPYuNlgbmezMisR00llT6+hOqTNx1DQmRJncN3CqXn6lXZ2kvfdJuDpnsyIxMfNZVUMpaXlY26I4f9kqw+xC6MEetHjCZ6ckJThppKKj2sQ7gdhtYZa/fm3At+tBm2nb+2yXRPZsRAetRUX71ktRRhNXVSZjkHQTM/OGn+dX+iYK4jMyTdXcLu0IZgL74ZHxLgtdBklhoM55I2wPbv0uzgMtOLtOA+e62Sb5kx6a4dk1YtTv/im3HZpCBMtuILcn5eO4sSTETTHTkh0W7V2jRW8GPge8JFatkUq0MijQy2bLQwOZyuNlmgiWi6IzM0S8661gf0xTdjPVRabPCQXOZzt24UsnvuJpK5cBuezJD/N1RWUj9h8UzZcD7Ff2MVWbQL15mKtVS61IFiHC1p5tpNh9vw5IcmDpWV1DNW2kXpFMWmvliRma2Ih8soGGCuJyemJXbRldQwFuqOsdXaCtue3JmshkQWr5Zu9QhvJT8mgrme/NDEobKSejJF+TLX1seTeA+sFVfaH9PRRE9OSFEcoiurISxdUBer5Ng2xw3rcf+Q2m3NxGU2C7EjMzRrqKmsEvHa5qRr652bFnFqWEWg3DbnZ6cfoomOnJAtOdRUVslYGB1rpxlKh13j9klByoZ78QVxahijreMf0xE7ukIW5VBZWT1iWXqvZGNLqBC9TzGZ6Pw2ZEsO0ZXVfGAVnaTxb96NOakddjsXS9hI/e8lMeDac5nNRezoCimKQ2Vl9YizskR6kQ8xpfRCIG34XLk8pLvLYjJkuiMz5AUONZVVIi6SLfwQ7dq/H0ZYMWxceTIRsCMz5AUOlZXUE5YDzXX1yhrygrozFkz0fhsT7dTRpJWv4OLmiyJ9wa9eahLxKjny55Iny9BiX2pom572V2Mvvxf3dCEuBnHGdFaU9gowsse4OCezJ5M8ySEb8FFc2YrvCxs9p/qMOoPxPPTCGG/G4DGyFt6GLzo08JFfWRlrXg7NJe0FZY7jvWjHNVGWyMBzttYXHZIVH2V10kwXqzoskxUU2Db1JtsXkLVxgPVefy7M2msB0/E+XD0hK+/RXCcz6GK/zIHVK43KRTJKMVnrCggrgzzy66SMLmTmHJSTYj2aswXrhk3lx0BXWhjUW9RnaX2C3ot7vsgisjcSNMqadVkvsu6ID3D9/Q1chGYInWC5ktUmfy7u6eI8zYwDzSg/NpG1rrQ4DGvtnK18ynNxTxfS0FGK51vcslfS17n30gdwGUXy0qYPZw910n3gBVnrKo0f5zCjTjbRxdE7AvSLQy+eGNm6WqSB78OVFtn0yq+TMrooi/I2bClvX7leWDxPptbVCiOei6bB2j6crXVFh8HjR1llzdPFIcqsrmw5pc/Dmnr9EMvG7RFHtBYvfNFh6PhRVlkzX1zyRa7p7BTFTdk41+/FurzWoum+6DBa+2iubMZ0IfPTmgcBRi+MYLFLMG+19s/PRZlN90XHTMahrE6a6WI75KJ3KUiyyK6jADka6AoIeSeydrUd2KbEk+fini7kbte19OYKSR6AnW9PSXptF9vyYyCZ7ooODNylX25ZlU/54nvC6mvWY9guZaq6y3yXmbhtdk79m0M7RaSf3744NGWoqaySsKQBGrtrlzTlYiyS/Tq34aXfpV52r55K5joyQ7OGmsoqP7CqlyhdSVpPqOFrpJ4m2cKVTZd3MteRGZn1iK6khvAhrvGsMdwk2rRE3ITNLE0GIBMdmZFZj8pK6r+wqhH3ZbFuIEnqy/QnhyZ6ciJTHtGV1PhYEsKLfly7rNEdJ6F7Fwt2MgZzAXvyQ3OHykrqCZ9F+gDr1gdxskxZ5YihiZ6cyJRHdHVV7lL/ui3HNpzlpRhOKUnXZOVwJXl/zawymejJjMx61FRSSeolA6vNS2nGuU1Tuv/SAKgk7Z4LmDub7smPokePyuqbImX92xyNWCON+7WMQAKZ68iJTHlEV1aDeJNC+Gk/ZiwVI05L1SKzHDmRKY/o6quUJfC0lunpVNqs/TtiIcKflp9CJjoyY/pBV1lZPeG8jABDEt/deWSjJZyCjXKgbvVORbg2pdbus+mO/JCWMNRUVolYxspZtH5eUgblaWEX2awrR1vwop0T1tlcR2bICxhqKql08SFE0KtY0F3aWViVpGxpqMdsricn5AIMNZVUfuE+hiRnUzmsWWpVNDUX4G6uMC51IULTPfkhR2CorKR+wlmwim779b/L2kIm4YBedsLRxizn9WO6JzPmCHTRldQwPqWSpU2bUjXm2qyfxG5BBYt6axDinE30ZIbB+KGmkkpSL7kd127R6nScI2CQJTvg6oVRwERPThS8etRUVkm43dSVTqtc046AlyUltO9OPPY25NFER05oinhuD2tt8eCbcRa/s52osmzfrv26ZrPQXEdOaEqb/y8pdVQB34wldeQqnUMiKaYdH9ImNvdqNZvGQ9bZdDLrW35Y5mqorKwesVTXus7DCBryIjrWErgWAzF8WM0fNN2RGZa5GmoqqyQsKi+be6RW63UVi/NLTdlztfi/+MwtN43MdWSGZg01lVUiTuqQtRY/WVIPrmu3CLw0mbYDIdnoCAprXj166qR0uih6YeNbWbmr+kqzOEaFxNp7ymiWrr2oU/+LOe/pFlw1Ifvl0VUnxXRR1Jfb+1xe4pVr/8W4AXLSV+rwbKwrLSR2PMrqpJkuTmVAdwrVpT7K3foMtHuXP7P5nKx1pYWUCXFGKb244sU9Xyg19UgW5VSnvEUAjl3Jv7sVTpLVrf2X1V6qFdy8zl9pcBHX45G/LRZuey/u6cIouXaK0GZ27b9kK75jiaQWoE2acngsvwLwIgwva2zg1HMFXNzzxWnFFK02kCVgGpOoXxwXWHv8mk435eoJrTUn7WK1g56Le7pIx/rkNx7CC2qmW8UuMp1uypUWRrw1sXC1ciXvxT1dZCngum7Wn0QDjXLTeGHsASNO23Mi0+mmXD1h3R5NadwsEv5e3NOFZgSvo0HCvqsD/PwxnW7KlRYG51f1y+7WMeS5uOcLCeqtKVnJGTNQV4Tj2i0Gcf1YS/fhig4NlCSFVYirFS/u6aKYE9VCkHKUbv9l/bhYLTpx/dwH3qGvJyQV6ECRrVnFi3u60DltPSwpTfjKkh17/lyg6XSHvugwtL8v6oY22sFzcc8XkjWw2gakbDrsjv33Aq2lm/JFhwZKa/D1tBY278U9XVwq8rT4kSSAtQtLW9z1uyh5na2lm/JFh6HzR1mdNNNFWzn/1m2xKFHS1Cib+kqS7JW19Da4aK0rLa49JMrW3Wx6Lu75QvZU23o8xX3EQIhUXmX7sZbuwxUdTn2n/O2uRVfh4p4uDtmZbL02pvBo2oXRqaRpsUx2+ec3eBGYsQkLpexFvs4X3xNuQ6YkPbK1hXNr/67f3y61Vcqm/+79NlIvLEalw1TA9xfWnW4TvYrobVKDpuyr+KItX22X06b2kP6U+W8olO/dV3oSjMXpa+G/TTwBJR8WIYJ4CcU/ILwDT9STH5o4VFZS/4XVlKUN5OG5xzAOmOvJiXzXj+jKahhvgtUtvqovWk+YDZ+C1S+NsROMi3C45jXd0RWZ+6isrB6xEGKKpS/usrkY2IuvoOmOzMisR01llYQlH+nSFaTh68EU3gGzHDmhKUN0ZTWI5Uh1WikoinlwWOY1y5ETmfKoqazSw1K09LStF4VxvFCPIycMnA41lVV+YIs4Cu/e+BGIMeYxhWVe0x35YRB1qKmu+jZsz5E+gJjCOE6IxpMZB1G7muqq361AQfoJ43yEaP7pNsKo5FBTSaWLTyknUiyNDmMnGP9wwjWezDBaOVRWUj9h9eLrBy8t2M9TiYa7nEnaKO8pmm94B0z3ZIbRyiG6khpSuWj5B13Ck9QO62kCFNKhEM1roiczjFAONZVVEhYfnTnU0tJmw8t2DX6oB8x1ZIZmDTWVVSJexXVu7bwpjIOhGDTLkRMGToeayioJaywkWfRRAg3bZWmZELrBUAya68gMg6hDTWWViLXgZFos+giRIzTL+W0YLB2iK6sh3D6qK1l8rI3Jv8vYskm6MQ0sB7HLyNUUUeII0Wu6oysMnA6VldUjFqfXlXucTdJXsk2naKLz2zASqfR+i3g/+CacpdTEZc1tSD2a5fw2DoQK518XkBffjNs+W4ILFreAEA2FWcBEMuVbZhj8HCorqWes3rTltKxUiMtQnOW11xMU2mJ6dC8JF/d0cV5WB6PHMSAeg/GV10yy35cbxmMftZVt4As5X4l/vtiFeuHPHmaEoAgFNTgY89yQryUM0j56KxvBFi1Ki96tq7mQqMWJbyENzR3YLG5FARy8C190mC/9KKuTZrpQD9CSLKk9KbN+7wEYNNAVEAYiH/l1UkYX0vBn1AHJu9Cul9xDPxbs6EE4NNCVFob7Hvl1UkYXaXs597lobMr2cmyTKyCM9IkfaTkte/W9uKeLUztsHamH8N4IEUd7yEAy3RUdPict43JaM5L34p4u1Me/XEZoSVIecblsirisrFHP5dYiQz1QSzdFBrp64sDp0FwnM+hCHDOr2KE2dfkW6tN6P2dvgoOmu9LC+OijrE6a+SIrf343VoA6Nm0W0nTc0SnsWLQAz5V/TXdFh3UCHmWVNU8X6hreesBd+e1W++iQ2gBSaVQjK9JoZuSKkOm+6NDAR1llzXxRlLhuJY+OzTqF9bRczUDYLIqB1vrS4tIBQ1llzfPFpRcWbrcan0YTOPV9Z8val3ZF7c+2fqExF0toxvvw9YSx50dZZc18cRnnXl2Pz4Wl2FoGgmUw71r+NO3bbLovOsyQf5RV1sxmLJqpUTa6sLzi/dDQj2Xe7lo/tcfQwXRfdJig/iirk2a+0CDBacGUrMPusB4YWUMaRyo/1rrS4qT5oaxOmj8vbPTrqLmst8u4MGtlS7WaQ+7ImklRrDQB3YerJ8yrf5TVSTNdSFed9qmatZtUJ94s6+k4Nv2znpit6UZnf7Zouis65D88yuqkmS5kyW8fpEUcxZXa/svW46MSs70sNEPWutLifPWhrE6a6ULK50joxzKsdw06WXeYInuibe0GorWutDBQJaSXbVPOJFzc8wVGoCg2NS5+raX7cEWHfrGRnlM5VcfFkCsDOTRU9gzLmDmV1jz5ob9sqKycwkP4zZvBZBVKYsF6ZFRTDEqgwS15ukKH1VBZv3JoDGOeDZZGQxOd38bs/i66+qk9iJ1kFapHhvXFuATaa7ojP3ReDZXVNwVza7zaZGiuIyc0Zaip/5DaAxhzazChBcukoYmOnNC/NkTXOW/mxZhbg4krbp0yKIGG5jryQ5/aUFk/82Z+cmvyJjXI+kH5rSNGJjpywgSEIbqSGsJFfPXWlYXKoTnlzTw5oSNpqKmkkrHUEdu27mY42r9vP5XZwERPTuzT6vkxdcqVAQxJKXlfJFJmJ2gpFXYu5tsCE9F0T2bozBoqq5/agxhyaLJsss+tl9STv1lt2w+me3JCv9VQUzlth/CbK4M5NFk6obatpGErvj6b68kMvVVDTWWVhDG1B3JokiSo5GV9cPo115EZO9G6mjqn7bwYU3swbyav8jdbz4vQIuvXbK4jM05A6GrqnKrzYkznEb/aWWzIZykVXuwciiY6ckL/3lBTWeUHNg8ypPBg3oycxM7TnsShNcV6zUMw3ZEfurGGmjqn6gCGdB7MoUkS0FlXc8xIL4HuBEJzHZmxF0GKqe+9AGHHN2ONkOz9wAZ1x7BeGJU6w+ptbQd49TbOjvzQddBexLWbn/TBN+OmQsJf5r2AcmhgLt6GJyc0RQIx6bK+yAPfjMUF2WNIVHcM64VRqbPXXLwNT37ox8iatqNz2INvwu2Ir/XF9IViOTQwF2/DkxN7LLJUXO8Oi47vCcu4OUcTawlzFSujp9Xa159yaFTeDEzHW3J0he6Bob6yKYQla+06DWvx86VnHoj+XtILbXcEhbY8suukiC6sqPxqnPwtW5M7O/xrORkr60rGucLi5Iwhvk66+MLiYuY9kXlWql11sr4Gtrblxz5XWpju8MivkzK+wLwVzmjRSEaysqBcigzLilERNLoPV2lo+qO5TmbQhZW7z1YhkcujobWugDg5Y8ivkzK+0JhfvrqrBhJrMOWGaqXNdc/AdFdPnJwxlNUp2YcuKLEGU27KogPe+lpx4bSp7hnch6snTtsYmut35s/xkyBU1tVag2yztb6A0IxHfp2zkT4uym9iDabcFJsyTmsIitb6osN8jEd+/cnvgQtMAyqbhu4u654qZYbFpm020JcWZjg8yuqUgPR58ZtYgyk3JelzuqxcFprui44MfOXXn/we0IzpM5xYQyXVuAgaWOuLjlMwhrL6k9KDF5j5Q7XSpiJoYK0rLbTpUVb/MQEJLyjZhwqnTUXQwHRXWmTgq6z+U84RXVCyT9ksQ0pfJFVRmyqiwX24oiNrX831nxKQ6IJyaSjL5tAugce1/9yHKy0y8JVfJ2V8QZk/kGVzaoeibekNy4Rw0X6z/D3l8Iw7z6a7esJzfpvoj135oS++GQth8bCwXTvO74KNhtL0DLy3b+XYjfoj7ZQO25HktmT/Hb0AgSM/Jhz1HiuV+60wfpqfYJcR6j6yb+nvsBq8WZIP29+n+ZbgVj1dceWIrrKyesLYIAW6kkjmyXGV48V2cpXarlogeroNR35o4lBZp6YohN/GKdihJCdJK7qMKLVLYMOqsaPpjsy4dENXU1klY2icAl1JpCtU2SwE346u7W+sdAOa68gMzRpdRurcFOXF2JVECJRl38y5owEMe0FoIjVU+ZYZOndGZ5E6NUgBjJ1IDvF9J3PctCfS8GolChbJduoEFzAdb8mRH9OoepeRyh1HqFkKdCWR5KbSKV5oLjVU+ZYTvsTheq9zgxTA6KoH/zh2IsEOJcKcKXa2pkYrjvzQxKGyTu55wOjCR/84dSiBziVouiMz5gx2NXVyySMGtz36x6lDCXQuQXMdmSHpbaiprJIwuu3BP84dSqBzCZjryIy5eF1NnVzyM+5+cPSPU3cT6FCC5joyQzre8HfXyT2PGPzj2MWEOpSAiWi6IzM0a/i46+SqB4w+cepoAl1J0Fxy83/L/DfcQPVx18k9j/j1iWMXE+5QAubibTgyw7E1XPKV3fOA0fc9+cShQwmYi659R2Zo1oga1CmCgBjKYGF5LHDJk9ueTPmWGQ/5rqaySsJYtQvKZpGrHlz4GE1wZMZDvqupU6UuxFASC0tlkcsf3fZgriMzHPJDTWWVhLGCF5THIlc9uPDRXEdmaNZQU6eKXDPu7GoojzW55B9XPZnryIwrLfVqV3WuzvViqI5FEQcwi6p5OXLC8NCoZlWn4lyIofwVhxMgUgA2UmUvR2ho11PSqs7FuPACy2BxaIGDBq/RUzEvT3IYs3rKW9W5MhdcUEksjjNwAAEs59JerujQwKcyV+UyXVPNLiiJNQUdMExApnOdL090+IafjIw6p2fwBSQ8YCrE5OBH//wUWniDJ76e+H0PzXXKyOALStyAvAiu5kXhCLwPX3T8voeyOmdk0AVkP1BexFTAC0t7oem+6DC0+iirk2a+wMQNyouYqnlhnS803RUdB1OHsjpp5gtM3KAkCS7ghaW9yHRXdBjOfJTVSfN0gVkcmBcxVfOCOl9kuis6NPBRVueMDL6AxA3Ki5iqeUGdLzLdFR1GMP9/xq4kwVJcB+77FHUEZsOdnu6/bSTZRiEjlKtP/MpWhHkMRmMnI8fsgCncgLoIbOAFrb2s9NB0GtvsZOSYHTClEFAk4Rp4mdZeID00nYYzOxk5ZgdsFYeti3ANvExrL5Aemk4FdjLyFRkITPUD1EW4Bl62tZeVHppOY5u9xoGG8gwLbF0E+/nZwa8xf9OiDNXCOkLTqcBe8EC+VsMCKJK4igB9ZIBarO+IrKXx1l7wQL5WA4AtkrhE4LJoRItfsst8aj8026/MthvDdcAKQ9IsoPNEXciFYBx4IjV+QIsZ3WLHycDAnNh0LrAx0xAwMppsXOnkTmH8UlhFIL9k7/22/AsMp7HriE2n7aVaWzJyLcrMse2oBmNf7BgXM2kG25u92kw/xZu7mdD1DG7owt2qJt0ps9dcx/HsnLldNq3Vtd5067YObKbfvI2SkN4el5k7V+n+eOK0/77hZI+4FnZauYGdv9SgFk1PA2+3PbYecTPL++Brq5zVK8Ve8DKtXq5ZRmQ///6tlISjxOH4GTd+sNe5XMtijvXz99weuY/0yGYqq1GSm3Y+HmsyqZnxbWZ/H8vG5QCrlx7ZTD8ymmlyI8YNpZnrDfO+uR3LWedLsh//lnU4iZHN9NOi0ZAfMf4c2zHkdq43B4fORfdwVqI9DmymHxSNhvwocXNsxo1z58xzVV+GxAwWTWC2EgM7eXLm0XqE4YRzOH6moNtx43auN+8lz+3QHRDHu7ReCKWb44Ar/ZBolOTHij/HdvT4wR2ttHkEHFu5gZ30k6HRUDz53B5HM7553uW9Z9v9sZUb2Mw/GioNxfR2xred/c2ZAGed8WtlBXbS3XczTX7E+HMczfLmlrTnpZ+gzHa2YclGYmAz3dI2Gorp7bjx6+BmXPppXI819e08HolGbmAz32lXSnLTzsfj2oz6da73vYXlcMc6SA9sppvtZpriUeJm3Hi5N9kc1rj8MVdrV1kgMbCZ5jc2SsJp53j8jBU348bLMvHfbKc59tIjm2lWY6MhnHAOx+8jxstS+G/EaW4lRnZSKc00xZRm8nlhR+29c5D0OumWtms2Jch6jiObaQpjoySkH4/128BORLfzyNkxfRXZy4P0wGaauNhMkx97/hzb0ejHvX27imbcHVIvccxeVmAnzUpsNBRPZrfHMAd9l3/Q3tlWY/AfZ1oe2+SIXkFNGTSjzmGs+KF/tu0DsLJDmjxbsnFRMM9cAYw9t4PEi/7ZPuoLraWaun3yU8stgOHm5z73+EqdWT1r8joIDK1lmh4ycsyvQH86O0gcRoxf0nWtPk5RugUhT6b2IaNguLn+dnYGepGomQ43P7mVKDc1Owe1AELTmcCHjJDZATsDHSaR2xnlJ5dPcg+300vHdYQ8mdqHjILp6Aqi4ePnXGQd4q5AgNINiHlStZ2Zvgai27np5yTT0TWqJUli95/VOdcVFC89Np0INGTkmAHMC8f4Lsl3OFe57E4JV6HA0EAqo086Jxx7jiCcN35ufHHNkwSyEIBaALCokDST/sigL4EwNx3GknPWJ4erRumhtUzTY5/8DHQAdlQ69+rgf5kGgAItCE2nAjszfY5vtwBGpR8Sh9JHH6oNDWSaHvvkyF6B2Iex5DCwvGirN3HYS9vs+7/RxwxIBxCS5nU1rVCNXI2dK7gzxW1YSGYruDSGr9/ORfuQHvocXKXzZn1qc2eMG9StLdTyRQrSXWyXQUNVmQFQfAa1XVBHtcsD6JLPzSLdFe+HogKpfi1aVgLLDUnTBiT3fSGRQjLHPzzmWJJEgrGKAopKTDFIZCfd9LbPCXJfRfbY7PPt/p9zW9sxx4yvfR2+qAKb6bat7ZEJ98uw5beb1nJwhpW+dA9JWjsmrxG1P98LAUG6Wev89LXdh30s7HBPSS/RKRGFk5XvBZzDYkLDFiRaF3belkOKa57jHx7zENFyyQW8SBHDKT/nIqn4h5yS6L/N6LlPcblkTttz/MPjZWPXuHxWLRzZu6WsXoqVGNjJpCyc0Dvtcib68Q+P+UI9tavXwrvjckky5sKO05v+8BKt9MBmKot9xLPMkn+Of3gs0xbUA7+U+91+zpJvtvCkg1PnToFcu4zAZiarUxLS4zFXC8jLa+FKtvttJDTc/+5c9AzV40WlM728S2AZgf1UYqMkpLfHXNl3bvLUXjZOv99kV7dwP/ZzFU8FHhvpgc1MVqchpITji4MNkme8XDz5Y5vs8ellBXZSKY2GkNIey9iVIs/sZb83R6cW+a0T/0C7vIZAYmAnk9JNE9DAMScU1Yz/9X4lc01EUSmFpexeVmAnk9JpCCjdMXvjJQVz4YrR89r1LrvYBa7DuGb+/4u0/Vtn/rEObZJopEf2U4mNhoASjiW1ftLBXBLd0VTkVQJZ+pVoJUZ2MimdhoDy7Vhv/p3nVOiZWHeplRCJUql0NYldbmQzk9VpCCjfjsX0dT+Rr0XiXwvnY1+LjpTilNlrkp2UlRvZzGR10wQ0QMnV/teqA7Wm+zprx3xVX7NIvI95woeOK+M8uqs24DRyI/tZbkmnJKSH4/vGvvZpOOaSoGup46iksZQ8EkF6YDOV1WgopucTch1TaXfcpUVWK28/L43LgsTATpp900wT0thjDuBcZVbKi8szdJ7cLkEC+R4DWYGdTEqnIaSEYx5YcUqca+WxhvdeUmVxZEh7NK4yM6Vcs5cb2MxkddOENEDJCZE1w3+9pBP+pD+FlLxc+hNxtOCqg+5A5LvVTJjk3k3adtaAH4J7VyDdgeZ10AaqQwOpDKm40N7HBvwcKKs036nni7OTp1V+u22WUoRFu/FKvt6kxV0oHQVGPJnah5lQBoJzZrDJ77Pdz2qxX7za2EAm47FPSPYO5KSdImOv3YnlU37X5qo8jvL+M/0u5tuCfeC7AvHL6/wiu46YNJP+MBPKQE2zmDy0Pe96iGdk27za2EDmXnjskyNDwCm+U5HAxLbJxdXGullNoYFUhvhKLu3V+4CfB3LqdUDhJh3YG9g513LSIvAK1B+FamEdIU+qtjOTkwGA27BwuYCAItUsWgWKakMDmYzHPjkyB9iLOetYRbms50XeNptWXCw62o3rWOZZa8EcUE/YMa4jJE2ld2ZyMgBsh7hZay9j7XrTJheJu/hFemgt0/TYJ0cGgMun7gerzkwSV+Bca8g5PZCnfEz/qh+OBc6D2tB0JvAhI2RGcLD/dN7lu/4GqwBJepyl+c6qqav8Vc0lIfsgPTSdCXzICJkRFJ5qPWv5+Fbkqim1ZcckVSBazmrVxtZS/2m3T0jmAM8UqCUC+8JJ9/PR2ogo0H8R6bonBLWx6VRgZyaU4YHWMOgdKRfXJR+M2ymXUK0116qcUnt3SBCgjIuKeTK1DxkhMwJ5BdVZG/smI4POpXiBsYG0X1G3T0gWg53T0+5tR2uswDJq659drrRLMjP2TW6Fcxmkx6bTBlCdmZyMV3D223NZtFZ4lmnsvQ2PlBVsZVhHaDptVtTtkyNDoIM3dJDcfMqE+FpBz0/gZdY/O/i+6AKt2tB0KrCTkWMGsPB9sWy1iTNfTw1IlsGyNLUyk0QLUEF6aDptLNPJyDEDkAluy67vi5N73y21dwoIBBBay7vKNDJyzA4cArTfiRTtFG0sBkAqqpZN3yQcI7vBOq4j5ElbXHQy+pIhgwOXs7VBOQVoRQGXQi4aBkO1obW8v0WzT0jmAO8ql0tTWyUuKY5rBlw9vWjfdRQYWkvDM9wF6ZJI0nP8w2OId5g4iAnDzDywpWiPBCl4LEWeNTNvXEqRROb54uZPOtd55lEgNYhxP6I4uKH/P5cXl/MaNJjjZEkzd5Q9Z4nOPsc/OMZYiYmh2KUi/S1L/ZXztfEpkGDezP/XOcmX3MxpW+d06OngnjLzorzsbJzq37/rSX8lrhfZ1WPcj394bCMNEDkwQRL+kD+1Cvg+PlvNwLzfX3/nJlfczIWVp25IF84tuf//2XOZ4zQAxzGXS9qUPMc/PBaPsXaiQ8e3cV6Dr92EDGRJ2jlx4RN+aoHbMnPRyFV/1XfeNDLWZBFKtMf83Vw72qOf3iwj+G/T8NIio6fFlduPf+6YZwEvUqQGTnDr1Ea/+yPRSg/spxIbPaEUOC6cZC3Z8Yv0Yl/lywqc49bZbZcR2EzDTo2GkBKOT05bb47sxzdvZQX/bUrfTBPSwDH7QI+5Oqm7P9751B9ZgZ08AMcOa737+vEPj3fu3KRfF+iwBj/6I9FIj2ymwbhGSUAPx1zCeulnBPjdA596ZCeNdDUaAkp3LJO1NZ68yMTjVeNIxvNtPdnobO/aI4I01iTdXzibjSz4IVh1gLOWVqxrHWatsS/jlTeaYTGx4TRy0nnJiQAwmzzgVQfxLpIchVpDA2nUpNsnR4ZAm9Ooc1OaM9f53KgpNJDKkBbxu6ScGPBzYFm0H011vRs/PLrRrUCQHppOQzqdmZwMBDLm+tCabm4Nzm1x5GygA9y6rJ3r3Swq5MnUPszkZCCQYdbl1CCUzBQ49V4U78Z0zDr60LrrYR2h6VRgJyPHDIDHfc/Tpc8ETea79OF2SqMn7WSBakNrmabHPjkyALVduiY5XHIGz/0aNIUG8ihds0+OzAFp4S5vjlWbuujWeVXfnvYPcO5642BH6SFPGoXqZITMHogDXG/PUzuky1Z05U+bliXr/OTWs+089M+iYtI0ctWZCWUgkAT+eavedvDdG7WxgTQK1e0TkjkgTmAduLxN0o1pV03goUfXu1Ebm84cfQ8ZOWYAHH1tPTTQQ++87UZtaC0N/3QycswIxKtY5L29cQod9xqRfwEPvfO2G+mh6VRgJyPHDGCRJPNTmfmHYiD/Ah5653o30kPTmcCHjBwzgFUS36+rzsNlH4nG3NEbjs5s9MObdYQ8abCqM5OTAWBbxKs4aYyUewkts+xM0F0P0kNrabCq2ydHhuCS9j56AriD6g2UOXaaO6e8kR7ypJGrzkxOBgIu1lvqxHfwhltnNqoNraWaOhkhMwLe89xAsxb49mO35xNAax56qza2lgbQun1CMgRFPbY6hJlTYG4gXi/noUdv+6M2Np0GqzoZITOCU9ogacwdnfLOwf6oja2lIalORsjsgDSq0lT/TbpaLkUjoeAAB/+1c70/64h5UrWdmVCGA1xrt5x1SgY/B5dr1pkV1pltpcfW0mhat09I5gBvg9ZJR2qAHz50sMfWUk38TbXOep4e8EPQXe/HP+eH9w72Ry2sIzadOq25KoSnXpA5/sExOumM8876F417c+bA1KklRzMXDl2TyJ85weGa5J0WcWVyC7dQOaW7x3P8w2OuEjm1Uel8rOIO3fzfmOPUkcwrOKRe6Dn+4TG6o4ybynrPjFPP+iY5qfXSzdzC2W21A8PM+SrXrmfx5KbGR42EcCfyrTqeN+6z3aIlK//9qWeaEwpFw3xJbZC6WtQ/tC5evzlOLxiWskkrhef4h8fsCr+qW59burQlBX+fO6TvM3fVkox2/MNj6yqz3i7rnbO/Eqye//+yanCEUzTV9T9zZ71L5y7J2/i+4/SYfaV6F85cP3dp09mZ/+e61Jssc1NPCb5EmtMwAL9XpnXTOEAHPweK1FTNuzrWwJdmvWz2BIEg8e1or79ll/9ikVfyohmCawURf+oJ3qWps9b5PODnQHWQrOOSkFlqDteiDmTJHVxOBTrCURe4iPtOPSzLskn9/FzDPLKoGvPRqYrVzz9pvqFW9Yjj7dCzIs1fpxrikl3LtO/7sAQL0uKCvkJyy8Wf05wV53gDl5z1GVrXJV4PIU/qWpTi6kmTix/wcwBcTehDsl6ySVqb68uuqr02LRCQLrt6LcY8qZ9RqlyXS/2MHfwcAIcPuIIW9ZqoU0IupVknrS6nCFwPrVmSb9lVPZCyrbr3VdvAY0Hq0yvyFS0JIgb8HABXEDhvYFEgQ67oedWzrl6N9dILRr+MdbmTzK/Tz+RYQboOKe8+pB2kAT8HwIsFiwJm+SSdt02B9DbeV413yHK1UHedJeWp1iWFpH9KpL9/+6Mn0gv4OWB9SegXQi+WXSFoOuSK065KMU/qgJO2sKc0tTTgh8A5caxDxnqMcFGgqehcxFovUSRbq7qsedbrrGNLV+kJM5fj8goApN4yNSlFBAb8HADHDzpxzHJRBtdhdenS6WfR6QvrtgnQm+WSNg6XTvQLFaTruNSVol6/Dn4OgH/IuXfMClFGZC29vCWrbVv18u7g5wG3+Fi2SS8Yftcsi7p35qK+GPkUAmcReoHsokDtLPlDs97A3CyhJV2tmmS3SeFzrC33yonJpXrlGvg5AD4l5xIyi4LlhtbSs95PJ+G5dQDXPAso458ZkJ4Nfrgvu3RUNuDnAPiH0PFjPVNw0vBsSP7hutUI3Cnf81rcxHsYqdKW0yneh3MbFFiQ+vvl5zpnrTrp4Idgm0V6UT/5Ij+kzr3fVrkGi6jV2o+lrOqysU4pdDDZU4TSueHGvcLFKKgvhkhb6qztmsgJBIDeIOvMQT+UXVRoLb2U+F22XNKFyICfA7LxWzQNedvEN6YdhTZpP7Jc8+gaQp+PXRSqhZ9NmrmXQ1/H8ui4aqWY3MCXulk3uaeKPjY3cYvpDLV4CXm1UbuuyF1kFrgfX36CVisT/Tep24132GutnXjAzwHu/MxbveonAteQdRpZrxb8HvBL7eIUvmrpkfBoi4VNOtSv86XlSvzmWie1xnknPNdbbz3OYl21Ynbj5sa3Nvnw3w61pj5wvje7NYmEr7XTC89duxcn2Zzbxq3g7h9fQzz8CXg/gp4bYK3FboVvyvscnMPZsSD1FPOuYK0jhR/w84BfcPL45kXxnIZVPTdb4YEb958t439jQF5o1O4pcjcYALiiuXB6XjUEvXHLlRvo8yo0kH7L339VuB8BmeMfHu8XJ+RK2GXhzv9l12zAeizOEVZYdJZBZCfP5OIpqpoj2Y9/cLxO9+O76Pf4fTzx8exlWbmBnVRK65FCrl+KObZNSkzzkvtGWm/6c3NyUcq7zTTBrNGQ65dijm0zEtOkZOXmVUX3nStHg0otVDZyI5up56PRkO+L8hyb3inyEVt0H7nyW7fJMhIjO3l6W6UhbNfycqwpeE9jEnkyndrICI65AL/LfaRH9lOJjZI+WreYY9NHZeUP5nPWL/l6fDq5kZ2020OjIWzd8nKs6XRP8xJoaiIJ1eu0ObmRzTQhsJkm3zvlObb9VWzzEq7wrS3rQZY9Dmz+pa2C0JDrl2KPTU8V28hEJvoe2+6PrVx7HNhPfWaNkpAej59eK7apCf/zqU3GVt4/SD8/JzewmfqRGg0hJRybXiu2qYntHsJ7nFMrQEBuYDNNc2umyTcpeY5NI5N7C8rZ73WnKpGnY/WyAjtpqlujIeydgsemv4ppXiLd4TTPe+Ot2k2pKUXz3CYAg/TAfu5yqDQElHDMY5Cv9dIWENx8b6nfi4eEHnVDw1ElneNj5UY289y1SklAj8ccU9vO2slDhsFWV4eM1NXvHe79t8kbYuNQw9V6QzzLiOzneW0cdJKn/3P8g+NNwoGlqBtj4gBX3eRx4GuvHqZHrl1GZDP9/mmUhPT2mBu6Xmf96uI4msbOQGLw3+bfoWK66GdoPf65Y+lPPFVHxSXDXjWZ6lg5qHcMwqzgwGoqrPOQIwUgH6HTUvOoagr6ZMCpmSQstLogD+kvLw8EWEBIkn5Q9FYg5PqCOGDahxzaxHStnQvOnh++SVhkmvXpASuCtYY8aUJRZyYnA0DRzHF13PEbgfuvauKVRJlWPYGXpPAu+lCBdYSm089EsX/U8vwOfg7IBL9JOzvu2vm16ASkSWa16uYfpOOiQtOp46A3vyDXCQOBaUGxy1f3fTEWrxbWEVtLNXUy+uzbYQG0oLDNKXYtorh0ntpaR9+efh2x6TSTp5PR0BbDyLAtKLA5hbTY5cCQAKnIn4qmGkkfJm1GAuuIefJS+MZMTgYC20oD2lZAi4hDRmPqTbIfs8yPLdewqJAnLTvvZDQ0p7DA9rAoNYR5KTgFqEAJ+Cy6KJAemk4FdmbyrTTegN4+tm3Fqf2uX6SH1tK6+G6fHJkDppUG9LCAFhGXdueW0Pt+yq+qcUCUHvKkdfGdjIbmFAbYHhbHxP2F5oICR7WhtbQuvpOR657hgG2yYRtB2BYRhzzCJVPLAFjHNSwqJM2kP8zkOlUggIYWpl/EIcUgs/rIQXpsLdXU7dPQnMKAsEXEIX7iZdKpwOInrunRXW3x0mOeTO3DTF9tK6ArhO0XcSySmbnq0F0rPbaWaXrsk2tOgcB0hYB2DNioYZWIl3YoP9ZTEoLnem5lURILg3XEpIl0w0y+XwQA21ZiluCvRuYPzs+6/6xOxLPSQ2vpF15rsUjYbtEem5aMb9t+/4kFn0yBzfSrrrddpJf+kA1Av0PshIgfN49o6C8ZGk6zFjoVDR0YDYBGjdAUEbb58AHgPlfMKkKe9EOm9w8k3/oQgO3vB730oMue21+bnTd8GmBXxYg0LydpzORkvIAaOYS+dbjztntyWEdoOr1/ek0o+XJWBKZm05ZEutaE0LTQdFXEto9YKRuRpinDPC5YP2+f4587PngA86J+8/k+Xou65zeZC30Mf/8c5/0pqmlCGjw+eS605oabIJgNjnHQtWyaRczR2FLzxK3cwH7qOGw9esm1EbbHpqevdYVZd5b1vkFnZNsx+d1+KrH16yXfavg5tq1z4bluXVvG5WWXAS2L3+1n2fDTIrNrJmlFYtFvQGuRLxHNfp8kV3ZeJEXtvitWTdvUf+OkQM6jPV6sWJSK2ySZc5WCNYt+A9o1g7EKkAyMebmU8uRWALPuqrxUXEbMkErdJcF3P1Tqg34D4sKY9vXkEQrHRcU2/yBOPoHkSrToNyLJoNTRIfoAvpE82Divee0fUl64FxcxpFIfSvICPJIpXppzw+h60K1u6R9bDyp1GVv/OPSLivly4V0AeTkOlUO+Vq56PR6S3qnncZYtZf26csv4sJmKe0jIUzp0Shqp7mr4Lln7h9WDSpW69a9CJ/yDIZX6CCAvJ0D1Rlok/7X+5KtcnbU3Gi7jw2Yq7iEhT/mF2J3MH1HtZ50ngzb5AJq0wqgLf1nGB0Mm3FDSIMChS9IE9Yk4ayKVdphiVATVf+Mb6RZeXpYRM+RSuwAa5LyjRa9A8RVsEnBgJNmn2lVuluKaZbneFhUzpFIfEhooES2HfBAWPVfHIYnCU0WSL7jqM9dJjW2m4h5KGgS8o3rNiePiqE9SKbNZ9nodo/DYZiruIaGB8gtti6QhTvpGOrkmZDnqIwgRCkcUM6TCHwE0yPlC+yRFsfNckeYn6pWrfoqyvS0qtplKfUhooHTolKzKpcqRJGnNpBwQSEUUM+RSuwAa5Hh0GSQJzutc30iHZAxqNub9KJK87esoL8uIGVKpDwl5Soc4A5gDCKWiWZCKmzlEtmqklD1+q6Sebi/CY4ZU6kNJXoBD4iVc9YPsfvhIZqcmeDmpH1ZSOQ8JecoB7T15ltteSMKs1G/PWtm4rvP6IhXQB0Mq9aEkLyBA9aeTtOFa9LzItNe17t87elsGoA++TLgRQIOcTyS3QNFPtvs0SgbwerwsI7aSi+skNFC+o1KvQEbnXBG751Ytj+b3DUs9dIfkhQOK+VLhDyUNAhDJTnPV3geMNoOOXSiPpQrfjHBcRsyQSn0oaRCAaGX/7DbpE/F+iPMtd0qcwKODw2m38LdlxAyp1EcADXK+0MZd8Lb50B+SGyXwZ+gbwmXENlOpDyUNAt5R/Vm5JnRTjxJ/1l/8b+pBcQiFxwyp1IeSBgHvqErlfadk04s4fs1uy/wmNbaZi+skNFC+IxXHVQbzttWHzsFvpBvJX64ctLr/sj6emvC3ZcR8qfCHkrwAhzgHdt6OyVyBDa0zv582rY+7hfM9v2mHab+MmCGV+lCSF+DQKddVmRs6BKmchd9ImwYcbuG7nH9tU47L+GBIpT6U5AU4dHFlyHa2H5lnfTW0cueim1L7X6DwD5upuIeEPKVHXIKyXWu75sqD7m8LllMbvK9SjLgd5zIK/2DIpXZK8gKcHLnK7ltW5UiR66YReyf1w0omx5DQQOkQ34P7vLSrbGekTsRVnnp7dSg4qbHNVNxDQgMlIoky79UZu0p7jX1Vj8Z6CprrzcIpmOxRfBMeM6RSH0oaBDjEJW675g/diP0bu+bOMroeJPnQ96LUv7ResyAdM+AWFfPlwjsleQEOcb//edfo//2G2YVEAva3VPZ27Iu0LfHCY5upuIeSvIAA6dmRVLG96P593fnjbte++rMW5+6bBJP5fcNIu2y4RX3wpcIfSvICHDr4ZtlP7WZ17yonQXqOJbq97/qY2bizwy1cN3O4jA+GVOpDSV6AQ5x9Ne+XuhDur7NFkEqVAMxen4/3++aUczWNy/hgSKU+lOQFOMRul/mo+8cbzYJUKn9k3Gdn20bhHzZTcQ8JeUqPOD/mqPvO+/3L15wmWd/i+Ptp18Cik/phMxfXKckLCFB96PC+59CUxllSw7lfi5457m51I33o4DI+GFKpDyV5AQHSe5fPxHzUINcmvWWOTX1xG9d03wLqo0u6vxxtigks6oMvE24oaRCAiBtSzEcNZN1oF6TCT95MHMtSpfJdfuioBr+MmCGV+lDSIACRPB+PY26IxR3ajmw7+bv8WOtAHPbXcT+89WUZMUMq9aGkQYBDHPE4ij5JN9noHXUbLJsRPjvLi/DYZiLu4pJW9vTzaTTg9w4kD+aqXXokBe6Ss8TuTKaexM8hgQNGs4RitZ1hbDyT+DAQ0jnAd+i8icv74tkpM+/LVYf2GFIH3yT+nbmGPEBxbD3T+PARkjsgHWr2pVJLTyNt3T9Pq5ySXf3Zk+wGZ21agguIzafxxIeQBvovNEtKQ3W8T7N0+ynqL3QhfAzF45JihlT4Q0mDAERS0z/X6VXTIm2Xr5qLscgVcu0tog0BfQjF46JivjzfpVPSIAARz81pKbGMDoMwhO8D83YZMUMq9aGkQQAibQsyl7e4OEa7fWDeLiNmyBN1ugAa5Hh0CGqJIozq2/Yzno6Lihn+kAvTKGkQ8IXYpcHtc14C+k5qbOUP2S+NhDylR4tEu+t9LR0el73GDzAu7uLbGJiHZcR8ufAugLwch2o7pfUtaA/CP6zk+S6dhDxlgPS9xJ112IdVANXsF4iSY+zbh+nNoj7Y81yYLoC8HIcuLhtZzvqYuaS1UEWf8XRY1AdDnhnTKckLcHK0R/tValKZNKJq6CuCDsI/GPIEk05JgwBE8yQtaM4WtLchfBQXW8mTSDoJDZTvqN060hepJ4ocgt6i5C7a7cL0dlEx+x9yYZoAGuQgWg5pc9RSzABhQB+XEdv8Qy5MI6FEwLprd6YWtLchfB+Kt1Jjm3kuTKekQYBH0vmpJY7xPb/u6ldwMXOMffugvV1UzJfnwnQBNMh5RzUbi99d9/ZqrWgRpOlPEE93kXBcYsyXp5t0ShoEIBIPxFqONILuhMc28wSTTkleQIA0M4MHyt7XZnmLoLvYNwiPGXKpnZK8gAC124p/yOts1+MhSOMOGOyHZXww/CEXppGQp3RIdprbPLWItg3ou8C8lfph8w+ZMY2SvIBPxPGY+0W05DFzH6Y3i/pgyPNkugDycr7QIkWk29ryNCBmjrFvWMaHzTz5pFPSIOATXRLs3F5j5hAJx2XENnOpnZIGAYi49RmjmjbC+85t398i6C72DcuIGfLMmE5Jg4B3dNUrkMN5R/2Rl0PCosdbsB+XETPkmTGdhAZKRHrNFXWQypfTLO0Yf0N434fprfCY4Q+ZMY2SBgGIpNfvdp5vAX0fmLfCY5t/yIVplDQI+EIcnpu36yovCMP7PmhvFxUz/CEzplFSIoe7FM77PB0vyAX7XdDeLiNm+EOeTKOkRA6PBuEgqcbPMJ4OUfIhoG+XETPk6SZVwKzpJh39BnRK4Gnb64/M15x0C/kNsXaMmcOicMEffHnShEQe90OT+h70GxEXfe+H7jt9dN1G3j+s5HI6CXnKL7RORcJ551vIGoPNPmZulvHBkGd7dAE0yHlHLduDf1btFN9+8vOq0XWIteOiYoY/5n6cOi3KUSJaJJw01XOF8XQXFwepsc1U3ENJg4B3VH9WLkVuATwXT3dxcVhGzJDnd3RKGgS8o61ec+UJ4Ll4uouSwzJihj+kojRKGgR8oY09ese61nQfCGC7QLSLoNtFxQx5mkoXQIOcLyRtrI86sMohCG67sDQuMWb4Q5pKo6REzsFFOUeNTWGs3UmNreSpKJ2EPOUnKtyk5N6vtXi6ja77KLkVHtvMU1E6JXkB76i+9U/OKjzK1dAiyOQi9Vi7j5mbRX3w5ZkgnZK8AI/Yw39cUxVXo+sLoCYcI+hmGR8Mecpp33aQ34Q4JMVNu3b8dm92n28HmXKwlflgyCLYq8QRV8mhMuDnwCYxvE2em5gIACkCoYFMxmOfHNkrkBj4vknQWR6JN7geADkBLrhvpIc8mdqHjBwzgEPK1bV3PeQAYCwf1IbWMk0PGTnmGMhOdi4lC9Sj+NBemnTS6Qi538EuQCYWnfIMuoqEwE8NTbj0BNAbGk8ldgZCOgSnzB+6agcFTD5waQNGZGwwzYXpfITk70DsXxrLvlpOAKREGMWxvTT7pTMQ0r2Buea0TBLFXuY3hMkQPqnhWUBMlufCdEJKxMwStdahZA+qLTwgvwDzBHyCg11SzJfnwnQBNMhxSGaUbC2JB9BX7gEuKmbIpXZKSuRIBGvZW++XXcYF1TvH5R5A1gAKjxnykJ2E18qhUdoH/QaE4SQMNfFrmAeblJf/zqI8GUfOQA0ZGfQb0CZjjKr30CHMNsDMAJfuAOcYz3/MnifqdDmUSN0lhn22VjS8l7iRysE0CVxUbPMPqTmNhAZKRMckNcn1wYXJD+9JDOXFikV/SM1plDQIeEf1Z9U49dxQeRCmQgwpDXZRMd8fGtM0SvICHCoyAal+rfpsA8gM8OkOdhkxwx/a1DQB5OUEqKbtbDJsaW3pN5AYYZfxYfMPjWkaCXnKAOktII2S1q1nEdk8AZ/SYIR/MOTJOEq562P+QT+PeL/BT8uj5gZBfgFmBnwkTeASP/j+kJojcnpqTkO/AUl75rW1psLHPL4CME8Al4jLj/n+kMTT5NAg7h0d5icvV0NF0Pn2toIlxgx/SNRpJDRQOgEaw27Bd8w2gKwBn+5gX8i4jJjvD0k8TQ4N4r4QT4/gxO2atgOZCC6jAJYY2/xDe5tGSYOAd9S6vXBYdNb9kkuTQOGxzT+0sGkkNFB+Id6azDL/7pfkJfhUCLuMmCFP22GPzLbq68Gg34gkhr3WfMyvvAQUjkuMGXKpXQANchAdpwSNyzmir7wEt4yY4Q9JPI2SvuXcPyRHYvezZr9A7oHLIQCpsc0/pO00SvICAtSSeJjkuKpUyD1wOQR2GR8Mf0jiaZTkBXyii/dS21n7EV4S7dahmz5NApbxYfMP7W0aCXlKJ2CSRJGrJjxNEt/WsZo+TcKlO1jhHwx/aGjTKGkQ4BA7JfZpOV/QV16CT4Wwi4r5/tDspgmgRJw0WNpb2yrMGkCpsZU8UaeT0ED5haSNfSu7dshlDXwkVMQMedpOp6REDjvguey6donhKOGuM1ejPIHpbRmAYr48T2aWdAfdEhr0G5EG5lvvF0CYNIHLwCXGDLnUTkmJnF1C8aW1sIEQiQt1gPDYZp4L0ylpEPCFpGvRfrYWNl8JFS5rwy4qZsh7xnQBNMj5QtyBg2ugMd3hJfnBLSO2mUfF+H197343jYp19AtRS3/iyKNOU3bIZSlgtoFPkzCZIB/sf2jZ0gTQt7jl4lfpsbTmIpilANkGsIwPm39o0tIoyQv4QjL0eD7q1u47g8Eu48PmHxq4NEoaBLyj1t9I4uI1LP2VpYDCY4Y8padT0iDgC8nAk2O/asyW2w4c+/WWbYDCY5t/SPBpJDRQIlol2l3qFfiVpfCVXhEz/CHBpwmgQc4n4i6bx7lACkU9V5hfgMuIbf4hwadR0iDgHbWkMr6vr7XlENgUChQe2/xDr5lGQgPlO2r5bzcqU2s8UpMmFkCv6RWwjJgv3xHsUmy3a67sg34juqQOTl1oyy71hNfcXqy7eP8Vydz6pcy14aB05D3mtutih/La8uolpLGulUGKK/dpfmM3KN9JdHE0SEV0cBbAOtXOXIe2Z13bS5fr587a8ZPbtHKO8vmy4Jghz6rlt448XgjQb0AyRGVd9vrSXcrjpl9ncRnVl/UqXsKl+mE+bP5ht9AoyQv4RpfUbx0NlX/aA01uKxE+120OLOPDZi61k5CndIinvPBNUhN5xS+71fPITVtvyppyuorTctlehH8w/O2lu1ZXh0G/F8RX517veenGt5a5ZnyuUtul+1UZVqKpvm9WHvSHdxdTnrX31IN+Iaq9+WatNKqvUnFSTEtLR5XSnpoALHM5tho2WgvHHrap9kYscjueLW1Q2rrWbJgPLfmro/eUI0C/AWFLN2z3dojwq14qvKNgH8FSkbg6ap6YpEVt7bWCvQCxT2CsJcv8mPm7b97kc9mA3zsQb80lXnhOsP7nE7kgDyvOQQt5UrWdmZyMVyBk4oiX6lsB5QGQdgbrCE1nAh/75MgArJvkEp3fWVg+hcyoDU2nWYKdmZyMVyD2N0kMPGvjH8jpstlZID00neYPdjJyzG9AE6T48cXutgpOAZoXB0lnVnpoOk0Z7PbJkSE4JQdHHrMIILcLUrZcVpmRHvKkajszfWk6JNVpWSooD7A5X5itBesITafZjp2MHDOAIilNa0tpNPlWqDC0kOYLdgJCtg/Ag2XvPWVrqwRpZnGCWGwwTR7sfITkH0AqzpZ9e02wes0M+zaYphJ2PkLyV7CrRrlejl3/5Swd+LyyOD8spkoFdz5CcqeEh1f3vfprTlXLt7KaY4t5gmMnpIH+HdVmafLdVJ1lE88xY/SWbYWLiBnyPMFOQgMlokWyK1pfpmVbDcIUsq9ks5ghb+jVKWkQgGiVXfw8Y0bVAugt2QyXETPkOYRdAA1yXlF99GySwrSsNcNVpDbk0stgUTFDnifYSWigdOiUj7raswkRZmlh7pVPE7PLiPly4V0AJeJ2SVLQSY4eYQYXZmLhomKGPN2xU1IiR5xlLU3pRrNBr9lWLfkRlhEz5DmEnZIGAYgKf6usxwn5VZhR9So8tplnDXZK8gI+0SlJS+dUswYxLwvyq2AZHzbzHMJOSV7AJ7okMemaa0ahPA8q8ilkdhkfNvMcwk5CntIj6dAwLceIPvOyfCqYWcYHXy68C6BE3CTdG1oHp0m68TeEeVmYbQXL+GDI0x07JQ0CEMm84W1paaOb5P5sb0ljiHAZMUOeNdgpaRDgkeT+1HMsMaltm94zqmy2FQqPGfLku05JgwCPmLK1l+LervNWQ0L8GxqEKUwu2woWFfPliXmdkgYBDp3iLZowaekC9CYcUcyQS+0CaJDzhXbJEmotk3Z2ZG61ndJnkhQuMWbIE/M6JQ0CEB2SF3TV9OdjWwzCnC2UGtvMU/E6CQ2UiLRaflpfEOZsDblXVnjMkCfmdUr6ljOfkyTUbA2tD/IJTS7byi4jZsgT8zoleQEenTJjYs+Slj7zuT4YcqldAHk5n+g6pAL5eEEuhQmW8WEzzyHsJJQImDZNRZorkqSls3Ypg5ytj+yuD4Y8Fa9T0iAAkVTE7zVkfiMZ4zC95mxB7hUuI2bI0/Q6JQ0CEEl9/F5D5j6/CqTGVvLku05CA6VDckeee56X9ZVeFjPkZ+6S/iF18N2DfgNaOETWhjN8ZmKhcFxizJCf1S6ABjkObdJNpF5lS5FcqL1ec6dMnGh9yWrS2EsKmVtUzJf3JeuUNAhAtMtshHl/SxrDBC8UHtvMo/udkgYBiHig+nwsB6K3NDEUHtvMcwE7CQ2UDvENcawlS+L6zm+LGXKpXQANct5Rvebk6tx0XJNLDIMEL7eMmCHPkuiU5AV8opM3ZT0z6itNDJbxYTNPROiU5AV8Ip4Ez7lQNS2Bv62OZ0afzWED4R8280TFTkKe0gngBBn+pqjNjj4Sw3wumhH+wZDnTHQBNMj5QrNkTV1bQ6tBmCbmkr9gUTFDnrbYKWkQ4BC/We5XUL06Wc6N3pLGMN0LlxEz5FI7JQ0CEC3l/pHLfDS0CqqZEJzQ0TPaML8NlxEz5BGWPjqGAP0GhCNnOO/sRvqenzi1iMuGa1CKr9X7/xwH6Hwx5BGWPkCGAP0GhINnZLQYn5aKRPj2tgxcYszwhwhLE0CDHEQ4XgZHz+ySTdAcvPsqbXaW/WVRMUPuUucrabq0b6ZBvwFJutF9eqqHX3rBzHvz7538lyqcN/CM5uqJ5ZSuqSwFbO4vDBb9wTHcBJCX45Gcq9peSp3oc+09xl/L/Je1KHflPKm5DW7nqDB7h69xiR98fys1FwHk5Xwhvq/+6SwCRZug6paQHjitXT0s6sNm7m3tJDRQOsTPXB6RJog9SzPneam4VW6y2ucdpcY2c3GdkgYB76i6gvkpO5eloU1Q9QRecuvo89gtI2bIXcGdhAZKRNJnfD6bI0iyYerzYD716VDnZ6DU2GZeJN4paRDwjmoFtVxJV3XaNFRdD0USocr+soyYIfdTdxIaKBFtfLMsNf3wRpug6l3Rs9NaectTttTO7ig8ZsjdvZ2SvACP+Pm4zHp2Fr06z9a8Wx4s5/Ii/MNmLq5TkhcwoFNQ9dvz1+VSX5D382WTvJ36HbroGa9+KUlprL1JcVEffLm7t1OSF+CRZKBszd+/a6egc0TLpilS9Vt/08FU2nthkdfz0v0Hdokf7LkruAugb3Ezt569L4Kl1grwJmSpbRMlv5+riI9xGR82c49qpyQv4BNJFeBSW9ghcgUJWKwAi/pgyP2rnZK+5czsvOHqilr3ivURVuqHlVxOJyFP+YXuu5zPx1VdwbNWUtQKNSwdAeEfNnNPYCehgdIh6UxRd0jLIon0y7S8ICwIwcIOXEbM94dS50ZJiZyVryRJrh9RkbyKeWuVLLZ2BZcRM+SewE5JiRzunqkVFL//vstDfEWKXUbM8Ic67CaABjnvqPmpWcDeZpQAcpUssIyY4Q912I2EEgF7kRqIGkbbZTBVQ1jJ4itSrPCY4Q9V2Y2SBgGIjl1G+BztRpJqlaMVftpKFqhPwRIct6iY729V2SKAvByHZH7GerZaqlpm81Z0A8v4sJk7NDsleQGf6OT3/P0Z1Ao/bQkOFsjAMj5s5g7NTklewCe6OCt5m6e3+iAQ/mHlD4XgjYQ85Tfivf3Wdk8NvRUvgfAPm38oC28k5CmdABnnsa31Z534CbCttUIKa6lA6ofN3L/aSWigRKRZP1srNdwlz6RWMxU9H/XqxEIvFB4z5G7KTkmDAETii95qezh5MvLc+eqmhKIsV7ClE3SqQ/PgzfTWur5L1v+29lkGco5re4MiaQ1Lq2yDkxHrTBZ86qfmJZ9kBvwcOBb5WJENYAe8nnPf5JtfHlrnumkpzTYYsCDTxMnFnA3Bz1YDfh4s8hkmO41Tmj/cJ0eBlAHPsns+CyeO3LvUyQBxpuCiQG1ImkrvzORkAFjZxb3M8sueRTbX6lJDtaGBTMZjnxwZAK0YWqQh8CnBndv+CIowT8s0qA1NZwIfZnIyAMiokWVb9Ydk1+OyiRvilIDWsso91YD+N9r/dFnHdYQ8mdqHmZwMBLsUI8gr8iyyndcxBNfM3YAWbQ3jAP/ei3a7wUWFPKnazkwoA0EtOZekgEvabi2HhMhBYGwgk/HYJyRD5olTcJZrquWBDIps3TooKnAVgcWrjU1nFT4PMzkZCPTTU4sZpaakFmpc0lXr3gsfg/TQWlrJ2u2TIwMgcyxkohUDbpFUPz+vdTX/sk/yL/NqQa3dXP/ppt6vIyRNS0g7MzkZADaRUUvednYYr5qsi2pDA2mpLV+i6ypuPAN+DvC4CK3BZzBLgYOeDW4twnX5RQVuInBUC+vgRw/vCK6Bx4L0DHYZ5DQB0EKWXbx4lzxz1nWvQP5Mp07wfqOvAxYVmk6LcDszORkINmnjKpu46+Tco3U7rgGA9NBaXhgsXyIyR9CAnwPXoh+F0yAD1IYGchm8kT/F6WLAzwGJ5t1XXS0GlYvwqLFVi7reeRDvJAZMaQFwF0KoCgHXcHPUVOOUkqAqI54UHUJXRvWhwbTctvMRkiM4tY6hhk851fT+p1o8hUi87OtVyyrsAmLzab2t7MRXnQ7zgJ8H8vlUszmndZUNey2bsiJhNbG9VFWnI+R2QqQK6f46UCGbtFitGV5OpEWxxTydohPSQI9Iv/72FhWXQoq1jqtoSH/ITf67JhsXETP8IZ2iCaBBjkO80dj2NqyB3wzbUQt9dxmReWwV6b+t7d/k26wWVuESY768JlTaJE4669eg34CkoeJ2tppEQEU+HEtNUsFl4BJjhj+Ur0oTlGOp5asN/UbE5Xv7XB83F0fPtmt7E+7khDZzcUp5VXEd/QbEe0zOgK/VW+we3WvcsaM34YhwiTFfnvnR5dAgzkldJB++BpO0E+R8bC/LiK3klZ6cxLRvpU2LaOjn0Sxl6fdVvlc5p8g53sRZ4R828x+ZP1T3Q0eNGvR7QZxVfNSCcrl39+q54e80TtaveTEN7S+LAuSEx+x5llKXQ16cQxen6exHnWTACVK3gOsAtI2L+rCZJ/R0SvICnBxJzdvrJmjWebLH9CL1w0qebNJJaKBEtBSZddqLwnjN9Yk46+jboxXlgdTYZi5OsoNr7wGDfi/oYFSrsA6pbDlr0/lDCkRKy+EC4biomOEPUpsAGuQgWidBrfBRnmXXPr8Ij63kuS+dhAZKh3izesz17Ihn9f4d38TFVnI5nYQGSkQbx/qOtaYt7bukh2+t8EvS7FttleQYz7WEvGgb2foIwmXEfHk5YxdAgxxEvB24T1hLb5Dxqqt6qOdTku6X1jsflhHb/Fs547G3yQId/QZUdNhnLV7Qgap1NLWTiggXFTPkOSxdAHk5HvH3xtGiezpC9ajhNJ0Lu9dewbiM2GYurlOSFzAgrkmpYxhnLvO80dWqqeQvl1bptovwZVzGB8Mfai0bJXkBDl1yJV21k/XCj+TjbE3nK6oFjJp0v7ws44Mhz2jpAsjLceI4Ffz+xWq+jxYlXfsBaB+X8WHzDyWLjZIGAQ7x90xZWmoSv1vLVADVzBQUHtv8gzg2u+51JkNHvxHxy6z0tq7yb/P5JhWXEdvMxXVKGgQgmnmTWra9Ru35jixLa90KUhHFNv9Q+ceGaqqcQb8RCeXeOtBKEUivkdqFcjne/juDEjlFzvkyS1cXA34DkCRC8WiVedU0PQGykVp0Y182SaecigXy7ItNZ5EI6Ri8LuLoN+DnAW++V31hXYtmuKgHa5Z/0YTP2EDq2+9WCE0iAGb0WYOX2Xr9IR4Qmk5d590kefsQYrAy0A1unfahgezn4laR92em3HoG/Bwo0s1FK5POmtYxawhDfH7aact7SK3vFBy/1v+MDnITKThP8VnvGg0Ltf2hFoY/HVojpAf9BoTfh/jtiB/E+LWOroSYIb932oLJrd4CDKe4AMhzOcMtFltLcxYkKKP1wwb8HOAx79z09xp+K2RGTebmLpdmEmp0WxY1aSQ5JE2kH1KgsBxSXWzAzwERuGj7pTLL9OFdcl8Lfxi1nouHTO1etDmttHLnEPE1WLMgE/gwE8pAcG3SBlA+zIvUANQBtKA2NpDJeOwTknkgYcyiJ4CfS8slD4QiMwyWQ/6lyOdGzQkGtbHpVGAnI2R2QC4hTZ0oHF24gewUik44PuXpU6T+5/5IH6THptO3cicjx4xAHoLzrgJlxuIsm5f73ctvZc2UQ7WhtVRTt0+ODMAsfeqWulOwQGoB11kyLFBgaC3T9NinL2apNb5fCRXMD5AuTvfzY+s/5P36OAe1oelM4ENGjhnAOktzOfEolEOeafp9jQJDA5mMxz45sldQN3YywVN8OaXIlaa1WaVIf3kNfKDa0HQqsJORY47BdmgaqzBv7CS7gWiS3ra1dWA5ZZOz6w8J6whNZ2ofMnLMAKQP/Kqfoqc8+9eiD5NrVrJjUBtayzQ1Mn7oGvBzoEjKon4O3oDDGfr5dc4SV9eOq+cizRfr63eR1oc6PxvXYVcYk2bSHxmEmhDID7npF9g5s4Nqm/bVS48NZDIe+4RkHhQBcgmdEmbT+rEbnAIWPWnSyk7ui3ORZFAtawDpMU+qtpMRMiPg8l5uPncokPil7JPPddK46+bVxtYyTY99QjJk5kYG905Drv6TR1XdQMK/584XV02oPXeJEmoXbVAbm86TUxsZOWYEEko9VIakxW769jy1ed5x7Rasg/TQdJr7qWQSeTHg58EpXdLkHXluh8RPZWt2ikflBnKiL1mHugJROiwq5MnUPmTkmAHIyIP7c0ZuBW4PzkBT1GTSphagotrQWpqc2u0TkiGQnPNdh5dfszRHmjT9b5Hb8zqmQWBoLf0o7mSEzO9A83b5qtm3mo8qAym36hXgAq59nQfpsek067TbJyRDwNnW97enXig8/ej+uNXkVwuuVbud6dAIqzY2nX7Jdvv0wXy/bhiUo4K9g0taT+y7pv9ZgbG1PEe22SckQ+ZJ42WyW7rEjbmfdYTGKUG/VdM9Odn5Frh7tbHpNEe2k5FjBjCLJ+KqfhVpVXiWdRAYGkhdZ90+ObJXoA4y9occk2a1LiaMdz8kTon3KZBxozVVF6SHPKkfzUQlkRkBP4GPRV1Oi4TrtDPvpTGnaR/VhtZSTd0+OTIAUsZy1AeDVEgfc80tLdJDTs8tCAytpfmunYwccwx4wjbH5DSDVMc/1jEuVm1oIM3j7PbJkTnAEZo6Y0K+845909RHbUqlmX1Si3Csx6g2NJ0mbnb75MgA8PQGbjG1KTOfAJ1NfX8vXxKIq72HJo2K1RRU6ei01qxTKz5kytP/JMyw1L4/D/oNaDukR1X1Zy67NMKqHkxpsn2ctc17bCWXwxHLstREqQf9RsS/V6kNmScZ8F5q2dy0S9Cn9f3Z2QdSppqYgstwUkO+PDexC6BBjkOc+V22taFFkFIWfv+WWprolhHbzMV1EhooEfHAu7m0JEduQMTxKT3Hp0Sd1tZnfpufUJoTHjPkvvdOSYMARLIrLsfUOiZdTFLTIU9OtS9bneODwmObqbiHkgYBiHZOEpCPU3X+M8mx1NxEiYLWNjhOeGwzTzirlPojP+g3IA6qzOWsvc9kfkQpbSgGSMVlxDbzjMNKWTMOO/oNSJImSk33mdj5w0gTASa5ys46MgSF46JihlTqQ0legEf8YXrWjtCT5ImftR53lgzkcrYcQ34+lrP2NZaMw1Kflm5RMV+e1Md1CGfLMn7Qb0R85s6pJlRIy9vydEJjOVftNhdbSV0F3QNGzh1mAXibnB+Kt/qrtq87OVuXI1iLNwAgP0Xs2jn2q56ijn4e8ZQdeUO/JTJhQhLmTkHq2AdD3iusC6BBDqKFb9njqhm73KCAE0BqKh3kCrmcH0hWwiXGfHm2WhdAgxwnbpWEhyqAG+zd6GyZK5Ac4hJHTFaLS8DBXCFcfqwl9Qf3tAd6z4FQwA1N50V/fFcAbUuWJxmLpdUsRdpVzfrrYUZFyJM6wTTWKDEJA34OLNLFaJfA46lNpHat0IbCXqjLhZJiLICGEu+INHU4dRnkNCHQ4NLyUthr63JhHaG11GXXY8vkAs0AbDway1JtiSkWxGL5rl0HrFDVXhoeDxX8IbO+5cvTkD3vkHQ6L3WI3q7fkz0h2OYnu9xlm2btMsIxXT1mzzc6/KseU6kbnY5+A5L78diOtgvTD8GakLHr8+56efhj/q/L3IUEZJ8dbU4NnrYPnXnFeLuwyGU9ALDJES5nCfKPbAWxvUxj0+lXuTjod0ldNeA3APZp17Ek9zOOK5ZarSUWbGGpla0Rc4VuthpPvpa2Ou04VJHn0PfNGQ1bNYdgU8fF7/f75qozkLgBS+llE9IluVUmLPI9ethilFeGXKq8P+faTvRBvwFtu7xpaz9TfO/iWxE3E7HNPNu+r5mGM4AIz5V03iybNrLBTYETjouSFDF5TY4MFqVhVnkrHhriesDPA5u0AukskC1SZn2mv7wV4X1p9gqwiyi7NPTQDhSxnDz63nI4ySV0AgAykAF7kdBAGgfuZ4Pw1LjzpI8oE1ldp6LAZnbBixBekbCzsWc9Jk2z2rpJcvZftlFVxss7vG4/QgNpPoxm5hbNh+ng5wBeKPZXhd8O8nxDa3+obmw+AxqdHYjsJzt++boHITwkvcskZMildscQjW4ih8ChZAW4Jzg+a+A59MGQS+1eKxqdb4gsiXsQ4kMSnufOhRcz5Duy7mGlwd/qELg00WsIctyrB19L8HXqPrJxXxdryT2R3cNN/3l/NyJ0KSMlysEtaGwz23E9UQLCkIGPH4BfHvlQC26Vbdwhtp9787sZ+m8IZgBCetwr27DHl5W0e0UPQZGPngGwgSAbZfFK3I4edvv2AwqDcyFxHlpqkUbyQVILIPhnmf1Xnf8Cs5nsNgf9umR6lObXYUA2VJHGFnvcmVwQGgAEfIEZNHESGrvhNMJnw+yh6bzTU0tqoCEfwwBIhIAMBJABAjdJ0DtLjXzbXBSbpRKSprkoPQ2IgnQmbdFmknEgCwY1gVr7BYefWDpld1uK5VkHUgvSPJ+eb0U+b8wCS4Yy5AG3VfcU5JqF1tJdYM+ioyEB0ADIvANm0GTLYrBgBtIJQ57cD9jyEMnnU1oAZCADS2hswQakj0Jiacjzp+xMSeMll9OLwCbTYijBxghCA+k3Ss99JpcIjcDmGVv7IMMFMU5J9d6W0ZoBeR5wSxgnlz2Oue42bdvaBxn4eWU/vFyyfMSTe85bGQC5mgBXwWCS8S0zaoLPNyzLsCUQIU92xzw/F/nfzgKIU8GtgDcJ1CHZEw0/QciTVgNJrcwq0wMM+Dlg65CgQun1k0+vaFsOej+uZYbGUgbTFqTPc94fcPKRPM87+HlgO9ZCL9tLmq8ep9aF6dwdTeqTznqz+gtj0+mLs5ORY34F6rO3HWtlLPxcND28Ae3myU/VWTsO4zpCntQr3JnJyXgD89gd1vaNveSym69ptmAaFhXy5PmnjYyGjrUG2Iawl8w6XNS3fs1SS1aBVRtbS1NOOxl99dcFYNvXXsui8a/Jq40NpCmn3T65XrkO8DNNn+fXyrvkZdF9J2iyILaWaxIyKZt47eyrn0q2V+4lbQjqg+EG8pRYq9rtUWul+z7BAU+6c+8yyGlCYNv8bjLqY9snA7ZrWEdoLdXUyeiz27AF0PMX+uvucivoow+lh9bS/NNun4ZmvgZAz195WC2HfiMCkB7qt8BrUBuaTj8YOzM5Ga9AT41tnAstdWWTK6NdvfTQdBoD6/bpP9+/1wBo88uW+V/WQROA0FrqMegteynoNqwA2vzalrqnzNx4VWsBLCrkSdV2Zho6+xoAvXKhi+4lAVD1LV6ntDWtMmAdoelM4ENGvn+vBbbN7zxNm9Sv13SqirSJxSWTUOZlFB8az11cjZtcv2EHrn+9t69tt8uzT+WzoabfNTQNa4mtZxofPvrqPwwAWuza5rv3U3h6PsRQfmwvda92Bgp6/Tbvo/SoqOkOi8yy2dtE14qWF5UWxfb/4F5t9DSI+UTQGnjl0MZ66EAet4jYSi6uN/MlQL8BYRNgmRC2njUDFsUhch2OQ4Y8PboLoEEOIuxeLB8X61VT0FE4otjmH8IQjZIGAV8obhY8T4dkVEw1BR3Rvl5mUbjEmC/PPeoCKBGH7YKxlbAEjLa5pqM29LaMmCHP8u6UNAhAhF2PpdxtqxPvPQLhsc081NYpaRDwjmpUCjobn7xr3NajZS7PUgH8JjxmyKV2ShoEOARNmGW3v7UIakUtggrCY5t/EMcX77GtVVxDvwFB2+X7UmIBx7S8SPW9pCObeQp6pyQvwCFotMxzyfnfWrpORTWhmatZmnC3jJjhD1HqJoC8nE/00XZ55kLi+y+XMi7qw2ae/N1J6FsAdojmLwD+tzb9FxBnBRqpVvgHQy61CyAvJ0AqAFoyu3bNq0aXtmNcxgdDnqfeSWigRPTRdpnjL/yXbfgxIBSOKOb7W6KfCKBEHHaP3qXrcZ1h66TGVlI5DwkNlO/orUP0MUlNeJ233FAVzu+ZW3h5WUbMlyf6dQE0yHlHVTj2kobmzfLNs9cHu1tUzJBL7SQ0UCLCBs3YvLloDXpNVOJqCv7vpjfhgGK+VPjTkpkA/UYE3ZKxBTG0J14kBrFfcysNkQW3/w6WiMuP2dNlPALIy3EI+iovXPjBV4F2xlwk9n/pBbDMktRw1dm3blEhQyr16Y9M/w1NnxHZvso6YPeYW4/boud/G5fhWkfHDLnULoC8HIc+uiwvi5QkL2Ubl/FhMxX3kFAiADopuy7Lq/x0NYsNpX7YzMQZEnpp7GwRtoDGvspaLVAfSIsMuzjqk9QJjxlSqQ8lvTR2tghbQGNfZZlifdRn7rJJAVgTjsuIGVKpDyW9NHYGBC2gd7lZalafQ044oJghl9oF0NiR+hWpHGwIfWiWXZ/abIXHNlNxDwkNlO9IBWBD6CJ3cn0hdDRV4YcRjsuI+VLhjwAa5Lyi8taBGZHkypTpmF8WFTOkUh8SSgRg6+hDewPUYkWZBVxmraBtqMo5uRtDaS9dXEbMlwp/BNAgxyFoJI1NprXYem1Tm6UWfqlyZIZw0bo/v8SYLw269rg9uSA+AIiR2+j5NfOH9FzTzhrQNje8mFkLgGLTabSzk9EQt7fAhPcv3kVzBdAgMDaQyuj2yecSvIFaZ/jE7a+VOznMRU9aA1VtedRa6TFP2oioM5OT8Qr057IRfUkznDU1uYHzGtYRmk4jsJ2MHLMDJuUgDKXfj0/OqJmmZZAemk4jsN0+fTFDrB9C6Tt7w5d5rgJPEbgOakPTaQS2k9EQxLfAxvrl/bIsy4tAC0JreRpxIyOfZYDABPEhvC8TvRfNzURwSElXlQ7rCHnSEHFnJifjDWhEH6LnEFeXPMiayIUA1hHypOHYTkZDRN8AiJ5fHO5ddpVewTaqDa2lEdhORl/5BwDiuPol1+Cxj9JDa2n8tdunL+YwlD5PvBfiv9sAac67/GHTa8WHTKnezk1fAX6In9vI+jyJj+tVfWwvjRB3BhoC+QZAyNwG07l+gVErxJYU0uWslQ5WcWw9r8BpfOQj+aDERvx52uEq/zZZNNdqIL7Vu2a7gth+HoXt9DSIeUXbW+B/k6TwpbaowUXENvO4ayehgfIdvYX8EW0S+F1riFLnRjThuIyYL4/JdkpK5GAWwM7vkXVrgU6UCii2mYvrlDQIeEc1RvoRaj+kI3qbUIHLQBTz5SHiTkmJnK9Qe5GIdftLROIc7cvARcV8ecC4C6BEHIbTMdR+ckOE9Wz1l4BwGTHDH3pnNEoaBCDCcDqXXXGpyv4iLraStwXrJDRQfiGM/MuXyjYtrcvSZqSi8NhmHpPtlDQIeEcv4fRZC5T6sFcUDihmyGOyPZ5P//novkMQTodQ+6xNOKrfgL+r+b/TatF51pnYrfdeyJCf1X52yJ+rTwSUKOc+x8dzjt0Zj23mMdke66f/giSFWmUNwXUXeJfhRdtWu1WtInyrISE44y7xIebLI7RdAL3kAViEGQObXHN7G7UJwmMredy1k9BA+Y5egusu8L5xYcNWplfEL8++DFxUzJ4vowuglzwAizBjgJ1VrPBNamwlDx93Ehoov9BXcP3gzdx2LU24NOypLeFwGTFDHpPtlJTIwVA7Bzjuf6uUUvXcpaLw2GYq7qGkQcAXwuA6Bt552Nn9B1t5WQaimCFvwtcpaRCACHMETol7LzWdxCGpxm7CcRkxQx7b7gJokPOOqvCPUPslQfn1eFtGzJBL7SSUCICsgIWvNv63+UUcothmHlzvlOQFDAgSGGzkXwOd+66x/lu41Lefy8syYoZcaqckL8DJgXi+i/VL39L9bFNZ2fu/l7nFazdz/mFRH3x5vLCHxWmM9SOCcDqGgTFEfMwS69ecrWXn5IZjrhkDGnbTCtIxmyBizyOLXQC9RKwtwqAwBowPyQOoN1JHGyzqbYkxXx5Z7ALoJX4N6CNgXOQ8blUAIlxUzJBL7ZSUyMGAsVQLHu0GRIRSY5t52LNTUhJ4R4QhYgwfy570qLs1Jzy2mQc6Owm9RKwtgtj2Oq3S7EZn6yK6pV5GKgqPGVKpjwAaQu3vSB9yGBSGgPE6SzbHtb0tI2ZIpT4kNMaoAUE0e5UncJnqOZ6lH04TB1I/bKbiHkoawumvqAXebcR65bJ2/su5Ct9E+Dwu44MhkXq/UqR/pnSrN+AXAL6K9kOd6ZIJvnN9JwO+aw+pC7lPFQA+Y8d0SasD+TKMeTK1DxkhM4KyS02cNB2/wd7BoZ3qLtk7H4uUEF/SygSkx6YzgQ8ZITOCUwYZa6eCXVLA10XC7QfPQ+Bxl4cCOdGj9Nh0JvAhI2RGwPuVe88hbpVdEr/rvN1DXdDzqDa2lml67BOSOSBVnlvRn0v+ZZe8m2M7pDJOf8jqhp5UrQ7f1TOos6Q1txzWEZNmDSxmbf4uxSwG/ByQhkTrKYGeQ5uPHPoTc4dDbryyDuuAFYamM4EPMzkZACQJeb0kkHNId/i1iKPkOCRGVdZRemgt0/SQkWNGwG1dq3PzOKRU7hI3w/2m419VRxOg2tBaqqmTkWMGoM4X7YJ+yDfypmNg74cEe5A0wohqQ2uZpktchJv0EzLg54FM2tvl0Vq0cdMqs8mLtlrS10mZ6+RG6ag5iaNokQ1MbDoVKA2Ld3naGfBDUGS82HbIh7YOMd3aAFer1gJYVGw6690jffa3Q4bGGfBzYJZ5meXQbjvSFewQf3vhUegMVpUunjftcQvrgBWGPJnamR9Jmw6lNuDnwSFetfPp4ruVOrHYSodFhdZSTZ2MHDOCIu3XxA1cFmlTNx0jEHfAdsqeusj4lU23BLiOkCdT+5DRl4xNBhdq75AiH4gNyOTUfZInizbFusE8SAcQ8qSdpTozORkIeOu0a2C3yEfSrnFkHXy6z6eqFea5NQ8z6whNpwI7GTlmALsULW2yNUZwSW/9RXo9dHAM0kPTaSexTkZfMnhY4rzv9Ydkv+++t6ks4p+ayqA2tJZpeuwTkiGQhma79g4pRbxUNVlU+sbuu/Y4mqQaZtN5maA2NJ32h+tkhMwIzkXcUfpslu3cDbSd3yx/Ju8wBCDdgpgnbarXmQllILjEX33VH3JRn5ucznXSnqGLVxtbyzQ99gnJkHmSz8mpNtWTL81JW2lrI8/zqL0W1X+3erWx6bQLXCcjx4zgWsXlJoDTjm/72t4NBVoQWks1dTJyzADkO+z+2Klge8DOztujz9s1agHEpi1IO092ZnIyACxSAbOKB/c8ZE5jHSIMQBLjjzoCF9YRms4EPszkZABY+Uvz/rAYQZGm06vOuwa1sTULMoEPGX3JkHfx/ZExAm6CxIGw04Ki0k+Rfg7rCHkytQ8zfWli1+l8aN/0U17MDfDtwSO1yiA9tJZq6vbJkQFgY/NRn83qGDx0YJD6BY9V6wmkk/JeG7dataHptCFiZRaBD/g5IK/f49KfS56zddjVNYmMU0fgqmuwPgdhHbDCkCct3FikOkX6kBjwc4B1zkVdBtcikx8nYb5k4MWhiUEgHRZ1nrKOS2sQQp68ikNlbFrF0cDPA77Sik6TOS8tjdE+5/w/PBhUG4FxcKvU0TqS01YmOWmwQlh7TJpK7zIINaFAyXIpW9GOjeLrrOPDt01mprTpus86YmtpfUe3T44MwMw7rLLr1Tnz3qsBiQiXbakFCXM/66g2NJ3Wd3QycswAFnFDaweji2MlPPrzULA+ANSG1tKSjkq2S0lHBz8H5MO9aAX1Jd2sy9E6f80ClkEtrCM0nZd0CPNSSzoa+HnA4Zp7i6jdzeR6KvsxqIV1hNZSTZ2MHDMCGaKrFY/3JbTIWEotheDdcdG5Ug3USgArHUDIk5Z0dGZyMhy479Vz1oeJvCLOOpqLHfc32VkG6aG1VFO3T44MgJQInfpI0jIT2T3/OIlbJpnOdZRBQ4vq3UTvOYgPmfJCk8ZNKMQBztu53xS73gz3z39ubQjEJUuZN0DrsJbYelp40vkIyT1YBBz97j33tVYd8Ob0XOvIEqs4tpc3JGwMhHQIipjca+tLdkifx1qrDHhvcW61Y9HMvsFzrfUIVnFsPXNyynN10TNnwM+BS4c0ia8VGla7ftOTllup65q3rssql19sOhNYpJBmUdf1A34OADO217bdsdt/sw4GLMg0yUQ0OQFkwc8B9vdxDZA4dnl/x2AbTiecmtBa+kPO0k1VblMDfh5I29qzqLNZqtfOopo2qQ0SB9Yh05WWQ/Z/KB0WdWi/93kfeQxIpUuJmSa9G/BzQOMik5JdMv9QG0kfF78S2p/BomC5oelUILsIVq6dIQt+DkhjrnXe9SbRrq1HjREIUCenPPJWDXXjOmCFIU+m9okKkg8RArCRxMJu6BvsXjouKrSWauqxP/IBTQsgXnjwQ/gGc7+lV+0bgmoxIhqZTn/iTkaOGWUcGrbUK20RoOG485ICpWtUG1pLHzM9HkkuOIlBVhvDvFaJnuoJEKfaehyjdNRkz3rIk9/FLVJJPshqAUQ3L6k/Ut+bTA/jPyvDOmCFoen8Lm5hS3IxTAy/mlBnka/29dKwg96417wN0jFkG5lOf+8ecSUXfkUgs1i1hg9CnRgElQj7Nqm/364Dg7khT6pWUrq1uNuAnwNSxbVt5xCLxSitXVRsLf2JOxk5Zgc0/Po8dDcdT+disRCltWHk0HS6m+lk5Jgd0IirPpuLhDrFDe3Dr09gFqWHplOBnYyQ+RUcuuuTX+jcaiAeYrEmSmulx6Yzgae0ij2L/MQP+DkgKT6bOs0xfovhV6MW1hGbzvMahOyqeQ0N/BDcd6SECMs0AIi4WumwqNh0mjbQyehLhoxP3nWYb5H5z/u6aQ6BDTDHcejQdB6Vb2TkmAHoELxtHwHGlDE+bKSHptNAfCejLxmrDpyTVwRGXF1I2KgNrWWaHjJyzAA29vXsh94XejYOzaCBMHIcbY5NW5AnBzRmcjIQyLz6cmpGhQYPpZELBpgxWGzXEZpOY++djBwzglMqHjRpZucI3M6dKnyAGePDVnpoOhXYycgxAzgkhDDp/oDjHhzQ1PCrjSljsNhKD02nmQKdjBwzAHH0HTrdosjO5NBxDxBgdsFiKz00nWYKdDJCZgTnpmFLmXTzEX7FyLGRHppOkwMqswh8wM+Ba5Gwpb5+5Zvk0IcJRputWlhUbDrPFGhkhMwoY5qkSEU2Cx/hVxcsfqTHptOofGcmJwOBXDWajIpBVhD4YcCAVFMnI8cMQF6/x6EDliDIGkebY2sWpMkBnZmcDAD823BwUgVC5DgMMMfWLEiTAyqz9F57wM8BSd8+6pi0Va6aCl6DrNu/MVhsFgXLDUnTtIEug5wmAPKWvj+QRBMEmEF6aCCVcWkNhXT5e8DPAUkpr6UWLvBrQ8IgEKSHptPkgM5MTgYA2ZkUnb3jgtFWbWggTwFo9smRAThkFr3O63kPLI+B+NBapukhI8cMQFqSlNptsWwSMNUTgEF1qza2ZkEm8CEjxwzglCDurmlN5zJ3AKFzFxO30kPTeapEIyNkRsC30lzUB46hcwyDW7WhtTwhQsmKJkQ08PNA4qr6vfoeWNbejRgTf6TDomKeVK3EYMslZ/ABPwSXpHeWOhntLeQ8rX4dsMLYdJoQIWu+pB2zAT8HxEd21j6MELPGkLOVDosKTacJEfzBfq9fIpYP+HnAMs55qXF0G6a28WeQDosKTecZG8J8aEfODn4OLPwiOHVELcasMeBspcOiQtPpT3xKfFjTNx7wGwCHSTdx0t8nQEDNIrERaww923XACkOe/PduzORkAJAq+XM/a0qJDVfbKDRID62lCTDyt2XTBJgOfh7we/tUJx4GqzHqbNXCOkLTaf1Zr7EkV3D5CsQTBmWPLiRpgpU7C1z0cRmbTuvPOhk5ZgdMXSaUPWJIEoKVVnpoOi386mTkmB0wdZlQAwlVhRjthGClXUfIk0YJOxkN9YwW2CgkxCdBYGgg9YH38CK5WCMACPLZ8F+RN+66qLtnkrCWxlQgEOzirBFP6hDvzOSjkBbYYGWRN+6rWgtia6mmHmskF3h0AdQnPllWqftspXMVqE90NefWSncR2Ign9dh3GeRipgggtGqClVottx7zNAKzqNh0XonYyMiHSQGYkCQEK2VffP+ZegGtwNhaGkXo9smRIbABVAhJ7hKC1vG/HchNshU50XqpgvSQJy8+bJFR8mFSC6CklONRt9rjGtTCOkJraRShk5FjBhBWkWoZ3E2mfrvKrH7URQSWaVhHyJPGFzozfWnCAlhbUioVfNtyzYP00FqqqdunoX7VAChzvYrEcaenTu/WNAoMraWRjU5GjtkBU8wK5aG2cFRr4rZdWt4VmZ2z9XI+s46QJ40idDIaSlYNCMtDz1mGER4V8N5u26sz0koPTedRhEZGX1Wqtpj1XKVP47ltBsiGGNTG1lK/fCcjV0brgK22NfWr5yqJBZcWaVq1sbVUU7dPvlgWgSlMtSWr53YImToGrMDYWhoe6PbJ1ce+gtKvmloEiuWh3KmeG/fVmrhT1BYvPeZJ/fKdjIbCVAPCItDz4P3Bvk4AVLosatabBNYR8qRO+s5MX5qgfrVI/FNTWFBtaCB1xXf79FU5CwBKVqE89Jwkjqs3rjR/3dXJhtJD06nbu5PRUJhqQVgeep4SQa5Ta6za0FqqqdunL+a4IvTSboFvAi0ITaeu+E5GXzKg7tNWhF6TjiAs6nyWrJKqFqSHplMnfSejoRbVAFsEevFUgtu+jrBpQOv0JOfi1FE8ID00nXrsOzN9ldECgLpPWxF6Lfx5fkzqArbriK2lHvtun4byUwtMleq1SESxFuAtk/z41yAwtpZq6mTk62PfwFj3aStCr1X6xPWaOwN4LNZ8LPXcmkXFpGl8oTOTL0y1wNavXpuArQ6FYX/RcW9FvdrYWuqx72TkKmcdeApToWT12uV62sW1Ampja6kHt9snR4bAltFClarkcR5Fy3T2Vc6GVuOB2tB07gNvZOSYAUAZLZSf6kjTswLpAKmNrVB6aDr14HYyGgpfDYD62KLdDNW5DQJDA2lRYLdPjswBU7MLdaVQcXrqn82j2tB0WsPW7ZMjQ2DrSm3FKVeEce3fWocoTDpRT29d0Bsaz0vYGh25alcHbFGsKUCdp1mCQFsdnjBLOG9d9kF+bP1PBW3CR776FYEpOw2rOudp4Vvx/hqsk0l4A1H2OpdnlntqW8uwtJg4k/+w01e1qS1KvWVxlnoptXjRSo5NZEIeBnI1sG9A602hmNOWec6TjGQrtesoCI6NZxIfBhqqSi23rT69lUh8/qqjNRziHKmu0mqO7ScqLT0NYt5RvYGhCFW+Js9pf5Md28zFdRIa615f0VstKlZ97ptEVQ9EdQwUu0rvZZSXRcXs6TKeC4rG+wEQXoj4g4vTp5R6ezd0VKl86x91XMkiY0739e2x4B4ZoZZ0UY84erk2AcHlcHA0uJz1kdvQ9LLE2GYurlNSclPhj4wXgA6PrU2MnfDPG9WgVOpDSS9XoEV4rZYiqQhHlcqezXNazipcBOzLyzJihlTqI4AGOe+ozqFazp4AME8nb3DPuZSXZcQ2E3G7tDW/f0xt/dvBD8Eh9RXbrgU/q3j8N9mr7xw6aQN3dskj3/Rtv2tl1SrOp32S0R+rfN3uWvyySbL0znfYDbaBFEC2jiIzks6J32wG/BAcK2cM3t/4kwKxX7sWmxWiDK1iKhJZiE1nArmSZt74g5ks+CG49xMs46wBcYmmFI3TWukoI7SWpjkszVdIFvwc2NXnqXXDOt/l0sKlTX7V89y9dFxUaDpNcxD/5S5Zqwb8HChSRKBuzuOQgROTApAOMkJraWaD+I4OmaBiwM8BuV33VaukTnb/75pmiWqdDBlHoaH40HQqsEiljQTMDPghKJNWzWhAbtJBGHor8APw/hisLQ3sOlBTZDrNtuCw+l6khZkBPwT3J6AAra+YZMLHUQv6jHSUEVpLi0o5ZXI/tT7yAT8E9ztenHSaOMAJtb12xap1MmRYiwaCYtNphal8ME+HVjl38ENQZDbUfmkcZ5agyzUP0lFGaC3PV2HPx7JpUWkHPwRl4fDCoY3tO5i9WpQRWkszQCQpfj20TLODH4Ky6jgV/SGtQMesUz80GSq0lud5iFvt1MrMDn4I7u9/YdYS23U9H4FWLcoIraVpFLLMQ6aBGvBzYFMn4HoMAi3AdUyi9tAan9B0mqUgrt1T+6k+4OcBPwukbUgL8B6bpmnsWp5U1dp1gCYZ7naUfR9NG5DnVDQZ5DQBkB3mse9aQCaX3XYcg/TQQCqDg/PHpV1yH/Bz4BQZLfQrv9256L8sWnpSqwelhOYYpaNAOGkRaRpwn8TxIkmhBvwQnDJIuMxaHTCJ32xatAJN7hjtS48rBE2bfMmp+y7mSdVu8j2oGSAP+CG4P7u0OkDjj5wHWhb9F7sOJyOylpftsaemlo4+4Ifg3GbJep9qyoJUa2hsyapFGRw0vf+b/Tm3RT3ZMU8a9pbsXh7BTRb8HJCp3Oc8q3Rxfx5apin11UUHG8GiUJMMei2nViFMvIE552nksSCNgXdN5AQCkBdaOQ+tVVole1/PusTla80ELiq0lmqSdPNFRmYY8HPg5H35OWlsqQEN0nNEr2jBP0oHTfjjRDxp8Jm/qe4XmfSyfMDPAUn6OBc9aRyI4ez9fVgHyAit5fFm/ttDfPUG/BBgXr/NxL93U6JWM35AOmpiD/Op/TJinjS2yz7VU/shGvBD4FPgTXI8ZO/bRaEmiTef5dy8aQCJ2u1adPANf5MY8EOAI5DscCRJCeJRs5f/bwBkMrhRDqft8kkz4IdglySAdZH3BU49chOMHrWo6ZS+Qds1edMA0pMmie7l0pPWwQ8BDhVy04K2f30e0qEC5VN4k8mXq+6ANklWWrU1wy7Nce5Nk/yZNGCr/Y826VKylnPxCgBkfhD5TlpPeewb8HPATiXyc4Se5eKJkG3desoTLDadX6p8Ai6Z32vAD8HOrk/uvLTq6bwEVE2SHrwc/r8BkJ2nVVrsTJJ/aMAPgZ9gpLnn03AG3dlQtfOwDlih1EStdTLWfAmpPM6kEQyDVS8YSfmV3cAuQxu3SR1noeps7TytkpN0+V1mwM+BRYaUzzrvTKodtln83Pu8CBC/VGwgk/F4M8m7Ni2wHlCcZIQjiuwMJRjyZH9Dd9LEhTrr9DRYLixKCpw33dLGQrPlPusg59aFFVrvr2uYBa20bHsve1Zi06k3sLtoyXmk0T1t3brQcQu6Z4F0WFRoOvW8dRctDa5mA8Ctix23bPcskA6LCk2nnrfOTE6GA9YJbX280H4LW2nZdYSmU4GdjLx32QJwQmPDLNtKC9SG1lLXYCcjx+yAcTWDE9o1zDKttEB6aDp1DXYycswAwO9sPdLQIwvVhtZyN1xzG5P3hVtgXc3Y+Cts4oXO9NB06pPrzOQ83qDJOsaxR5Zr4vVIj62lPrnu1ybvnwdgfeFxW6y4PxgsKuRJ1XaPNw3OegPASw5dwEAtOvgja2m5VScjx+yAdeNbLzk0/sImXlZ6aDoV2MnI++cBWDc+uMyx8Zdt4gXSQ9OpB7GTkWN+BeIDAmc6OK6hCxh29LLrCHnSQqxORoPL3IDQcY1dwLCjl5Uemk6rsjoZfckA9zQ4rl97ZA09y3AdIU9aldWZyclAYH3V4MWGlmAgPbSWelq7fXJkAMA9bR3XccMs397LSA950t5unZm8/9wC62b/6p5l1YbWUr9wJyPn4HfgiQN8NMyyAmNrqabunycfjrDA+vTfm18NAl08IzKd1pB1ZnKhBdBkIxDY+MuqjQ2kXvJunxwZAhsVgTiD66tle2RhEy8jPeTJ3bqNmbwMABAVsRGIuBEUtK2CvlrY6ysiTaV3GeSjIhZA8AQiEND3CqSH1lKPdLdPQ7jDAhtAgNACtLrCtlVWbWg6rYDqZOSYAUDs47X3k7rMsYeVkR6aTr3knZmcDAdMuAMCIdgIClpE2XWEptNqo05GjhmAjdT43k9CpkWsoDa0lpYRdTJyMaJXoKEkE5zxvZ9MVygrPTadCuxk5MNCCEwIxgZnXO8n6AplpMem06KnTkYuLAQyoKkTtHuyAmMDabije/nJufwtgMgAxD4wdHHxTbJqsvRWxKF8yPtiK5u2FFm9aQBZnuzGldj3G1Nak1n0C5Ek6m5r0df6OqJ9lh3ULo69G7F/7djlXTbvk1a7iROIcxX5dbjpAKQP9nQZjwD6Frdt/Csf117RIVkKkohyi1u0TusYl/FhMxW3r7IDEA+gRb8BHfIemDXD+Ealv3FZHDfJvS6Vc0mSlBb1ftlMxT0k5Ckdkm5gZZE4A58dDvHPmo7vxMVWUjkPCXnKbyR57NtUxUkfSZ38xGgWND3X4y38GpfxwZAL7wLIy/lEp7SX3LX+Y+N+YB3tS5Gyue0cF/VhM5X6kJCndOiSF92xNCSlXvVOXndphanVCPsq6R+reEWc8A+GVOpDSV6AkzNJJVFZ39C26b5mHoV/2MzEGRJKBHAex71h2OsVKDsG3T7Mu+b8lGl6kRrbTMWt2oRRvDQW/UbE3tJT2/Ow11TedXoLHNJH/N5ITBXxVXaey5sVg1JxDwl5ygHxS3m59E7m8SycMqGU4i06d60k2qWByr1R1etRhq6de13UtQrSR/m9jEkSkvZxiR9a0mv1eZeQf7M4tEt5zqSlI+7hDQ92fCN92EzP+HPN0XAFOsRx9XJteuakSP6cip7/69AstPPlyo1tZuLW85L+zfLFYNEvRHKuVklQKZPWud1o/9c+tP37GjYvHwyp1IeEPKUTMEmB2KxFxDfaDcJNyMd25YMhvR4fShoEIJrlwVJfkO7qdNccCI9t5vtO2RSs0qLAot+I2MNV1ipAfsj74b2mOwK/CbE7q5jvbxtmEUCDnHekwlepk95LvTrPzaDP3QIsKubLt8idkgYBiKTO8P7KPl8QbldQamzzD8/ORkKJAOmoVMp1vSDcrvhthxUeM+S7+U5JiZxD2hlc9f0E7/Jh22GFxzbz3XynJC8gQG1vX7pfwW9XPjY2Hwz5LlScD7OMa7boNyKpe120fniXHi7nVM6X9xO8uz5s/mHfyRsG3sASoF+I2tnRpNP2k/NZ1VlKfiuDGw3Yg33w/WFP2ihpEICIH9S8Q5pedlYoNbaSbzs6CQ2UHm2C6re31Kwfp55V3Oih1NhmLq6T0ECJaJFG2Efd2yySq1vq3hL3nSg1tplegc87mYY3tEficdcKavdqw9eedxPY93zMkJ7H53zQcHYcknv3rHvLU9LadVaB37HjWY1tphu2XXYlk3qGDPq9oMMg7mrE0Z2tolPQ/m/cd+KeNGZIpT4kNFAikg55RZOMuUuxOAaO49+w7xz2j1Z4zJDv2E/ZeUiXM4t+A7okKqPpdX5P5HYzdqP3YTPfo1fKonv0jn4ebdL/rRR97bktGkjFZXzYzHfllVK3Dw/6DUjavZWzbgpmDXBU5yjuX/zGyy4Dlxjz/eGB1ATQIAfRItuH9hbG3czX1i62+YfPiUZJg4BPxPfuqQmEfk+Ee5uvjV7M8IfPiSaABjlfaC3L43zZpNfeqYPF3WbOLSq2+Qcfe6OkQcAX4vu7t9TYOFeKQzrXi/DYSv4B0UlooHxH7SUo4aDzDUnLvXOpW13Yhbq9JS4qZv9DqKAJoEQct3y+d0FXvXK1sOjC/eMF6HxZVMzwh8BBo6RBgEP8JD2P6ag/+SKobZHNhtkJj23+IYzQSMhTeiTxwNLCAbgLhb2l3wZb4THDHwIHTQB5Oe+oultk6MF5rnVPCjtUt++0i/pgyD/ZOiV5AZ/oEt/wtak4KYW5dF7m/eXDO81r0reV2yC6bZ9d4gdfuj949kvkd08e6TyyUt2GurWusUvcduP22TvG7I4s5suEL+IaLLv0o7DoN6B9UfeCkCzyeCq7ZADcSCg3feZ+WEnlPCQ0UCI6JIOn6KZ44aZ0nDuzV8Rn9VDHzFK0H1iTCsJjhlyq7B8vjXIa9BvQUXMiVA5vTe4Hu25JVg0dVu/nKlV7ReuJ7ke/tDXTIWe3zUsa+Omb7IMvFf4IIC8nQPXMSSO5enWueuvUm6yjtS5qMYuCJX7wpcJPLgw8V2nZY9EvQdckj3nd9d7nmP9t03fXKq1wzkV3XR3pv0kL03M+X9AHX/qskCzHc9dr3KDfgPTRpSlSXIfKqOYyrJJ7ez+j9PxLmdapwxLuv5RhZNWd8cGQf+myh1PyWwjQb0AHf+lecz2PXO3L/za/oFNeyNdRv8l41yuNvEebFuVfuvx8vKp7zaCfR9vE5+qar72i80FOKi4qtpmL4++ue/uuP/mDfiPiYuRr093TKq6fG9WHPm96rrW6xmEZXlzIkEvtlOQFOCQV1feHavUYiID9qu8ufujflOsLkpDvswy7qA++/BXcBZCX45DUU1/aCe7+YOHCu2tfXoR/WMlfD/1xTePDGxA+5i/ZA5SpPVjsew3febHN9FyJi/uadr0eH/R7QXw+tCfDfUfK7bFer1eZuz3srYP3NU/nuJEGyz/Ys2XM8iwrp74QDPq9IH5BnjJL5X47SV/l+nE9L7J50SKdGx0Su9dF3VusSV7I+m8HFyIWHZ78xZcKf0hooPRIv2blrHJ2n3wUTipOvIuXnnFub8wCGlp0J3G9LCPmS4U/AmiQ847k1pk3yR6tiUaz7MjOqf4auiOuiV5uUTFDKvWhpEHAJ5LX7Ko32f1/y7/p42mWjjTn3M4xLCO2mUvtlDQI+EK77Miqs/PeDPDZWfV7gb+NZCtTXpYR20ylPpQ0CHhHSnnIDmnXT5T7oSE7sq28CI9tpuIeEhoo39FZkeyJdC87SwPpe0enT2Cp/zi38opmQfp0douK2dNlPALIy3HiZPNyf77rK2Dliplzv6ZR6oeVXI4M4i31Kfugn0eLNKE4tWp7XqRK5ayvWYdW6YnbpKJwWNQHX/oKnkxvHYt+IxKnpVZz31LF9XbO8xuCZeCCY4ZcahdAgxyP+IU86XW1zIvsXtVJtOzSzvha3oTHNlNxDwkNlA6xY/LSwsb7xcJVAtfUPvU28dHoXb7s4jNsUlF4zJBLrQLUnfGg34BkKOilRYOMFkEqoPAokGve5pdl4BJjhlTqQ0mDAIfkJ9+09fayco3YjfSaK1zLci36/bQU2Uwv7YMdloEo5stdRl0ADXIQHbLRa44gqW29Nn0jOeGxlT9stHmnWa7qMuro59Eqo1uuo94QKAelxlb+4BbidZ3LWd1CDf0GJDOPr6tun+dNP0pKRaugKlw+Sg59sLhlOKkhX+4W6nLIixvQLqhegcv2b5mm6opcuPjrOud9XNSHzVTcQ0KeckCHoOqmuT8y7hfKql+XK+/7r2upPiv2oNxSj1H4B0MmdZI5x+esQQyDfi9Iuhheuu3Anb7bo9tPlElmJJ2TptJ8MPxBahNAXo5DEo8+dazzg3Rvjzt93LHDoj4YUqkPJXkBTo7U0J464Pl7pw/CP2ymO6RGqfvOB/0GNMv8Dx1vy0i8dlP9Rvra94NwXGLMl39AdwE0yHFIEmvqQ0c/oG+k/4Y7fdy/4zJihvyTuVPSIMChGtOqt460RGzI7/vtHh2XETPkUjslDQIQrbLvqYnZs0anta595oR9/ssqAD9RcBkxQ/493ylpEICIs1buLdpeHQqLbnzrF/wiQbVjfhEe28w/i5VSXWgG/Qa0a8RPoyH/t3Yl2ZKDOHD/T1FHsBk83Anuv200gAlhTL7uXhVRPxMJp43RFKroVC/JIUdddT2wApqBYZaBS5zLWxvJTYE8qIOII9Bcujqi85aDr1xHIkIgx9j5sqi5hLXJ3ETmhToHmV63kwAwhVAJ6Y+Mqs5nWasjQm65cg9KA2Iq49vrI8B+0ltoO8s5PPAxWO85VBWXMZewVPURma0CBt1sQISzmhq94WEMCFR8OufaZqf3RZErz/WD0oguRuJ9c9yK8A4SnTaGhzUZumXgEj/krRUnR+19RHU2NJQsclwfWp4AvXJ8l52nKkdR/nLuvMdF4YI/JKxtTUo0ui814B6URsTn8Lvamhsfn/Velaf1cu5FcVzUXMLa1mwi86CAQScfdfUak/uwoOPt3I+neWN44KKm8taKNwXyoA4ianNa3tISVnTUoLggvXJoE+DZHhc1l7A2i5vIPCiAiBhTyu17VXQzkmtFScrlk+peAPPFLGMuYX2YLvdOEbmLifKgNKKbkLBr0mFuY3X0vHrRddw3/dt+s3J6Wtjok5sYfh8SFqreJ3OWH1wP24FkAHVQK/u8tFW8+AR8ao836lVF8W7pY8nBvnLe8sMUPVhp9UjIKA7BTdwnl9DTUTsvPkJK1GuLXlyecVByPuFKrUdeRuEW7AzECts4c0NPEhvxexAStbje7dLdCBYwn3558z0i8iDQIN63NWq4MZXmdUnm3HY4OWTeiiTl7E3tuYS1qk2BPKhjkRyA5JrugYOf+jeODJYNRnu8HXyO8/vLouYSlqo+QvIgEhF3p7prP0gXOfyuNvDBIX3pCmBVnc+5VO4RkgeRiDy512v4fat+QLk6p+fDkXbV46P7Xd0eqPhcwlLVR2QeFEDEBEt3VHTtfDgS+8yoOp9lqc4jJA8iLeJjjRwkt3CzjzBom0PytNyHeFe3S45DepddFNO+gz4suIy5vLXiTWQeFEAUTz7H1S6PnP+i5eDbTWZOOauFF8Xncy6Ve4TkQSQiSWO4znqXnQ8i5xaJPN2LqvM5l8o9QrIVaZDcZfelrjbyZtXDIp0dSTk1c1DV+ZxL5R6R2Spg0ckHGd2Sz/N60O53FnmFUfGPOdfKNSHZijQIDiR4WNm9HAjVeAFVP+Zcn7naSSrbc5U5ZW18BPT6s5ZDV0EhqqutPAJF8eroKBu04761w+nsQ8LaK9hE5kEBRI5PpFH9J4cnBfypzjXPy9ADISo+n3PtXGsi86CAQeWOctuhV5XO+RSTvV9Unc+yVqcJyYNIi+i4fNZHYKM1nxJv2o+bRB5bRaG/qqD4XMJ6S+a7RTrE9ygNKEaaVrhBKdxA1yr4fbw77V0G53z7sPT7gdgOWjLyoct6K2+q5kFxRMdB6pwhtONDQVH3Ax/4Oh7jgj/mXJ3HHfvMTzZeO5AMCFywdAl9XOCq7ZsfaTRr0FrhU7vUB86nXin4CMtGMoDIrp6N24mA9YBWgLFbOtWnU68UfCRno4YBfBiVXk4xcl4s7yY397K4dz1c9LYOLmQ691LDJiCjNASHHAij2lxgLZhTvzFXOo2n06+UfKRnVMWCm0+tp9xhnKV76L3Hzj4p9zHmTb+Y+eRrQ79KyCgOwcVnUPUzGlPGGCidkvMJl5Z+k5dRuAGc23J4AazVodsHWjTWMnn0n8++NPs56ePkNKcOJATlh+I5T+3gvnPas9DMD/ZCZ0vMZ1zbpE1EHgQiYtLM+7rfLAJ7zu8Vnc+5Vu5iZ5q+OB6UBoQ2gD3Z96riMuZz/nDl2LUm6Q4dSgPCF6k5dMNR2p76+0UZVQ/Hjr3tRV6P1gfy9pLNwysXEaUtu2J96gn49s9Rybyc57Os0x2akGxFGkRd4Nx265HH7xuf1d5ObniqQ8XnEpbbTttCMu4nCPD5Nh4AsN2NC6Lbk+bT/2Bvcf6zJIZ2KA2IO7pc+6kIMlYwm0XeyluQH5vLIy911Zc5OSdGk0nm8pYbJiVGauCmAwnB8BzAM2IeddiH+o12Pv86Nt8M0TyapYDQgEVP/El1IfelN+/J5RWX5pEcrI7uZR8Sfoja3coIkQEli8qxmkn8RDnnmJry9BptYnoGJcT4mGWdTStllFGzaRtKI2KaixqZ805IquKLcqj4fM61cocQaWtWckNpQDufrjfZvx1VidOveb6oisuYz7mOafIDJ8fZHqURRa4v0CRdLHHF4lRUHBc1l/BDqm9VIA/qGMRJaF4LrHbNSHorcTXFqbCouYS1qk1kHhRABBUFptoA6m8NwmXMJawDrk1kHhT4QpjCj+n9X7W5uIy5hHX4tYnMgwKIMIX/YgXipiXXfamwUXU+51K5R2QeFPhEkMJ/cWbXEeKL4vNZ1so1IXkQ+YUwaR8T+m9OX9VTmlF8Puc6uboJyYNIRFBtwJ1+ydaPitg3Ia56o+p8zh8SqKvIbBWwCCoKPtL0vfBs3FplD8v4kLBOp25C8rcCpqKAvTq3tAal7gJciqJ8ZqDqx5zrMv8mJFuRRgHu8lAzkkypqikr7VX9mHNZObuxNRqFZrpDaUBYK4vKoeLzWdbqtMqAPNYJAMKKAlNmDoW8qLhRbiphTXvQFMiDOhb1pRBYUYBJ+1iCbovH+yXO5a2LpZvI/FI10COsL/BE2VOQEh1IlGt7KUEfysz7Rc3lrRVnar5diDs7lAbkmU7GnW88hchhOJ9lqc4jJA8i35EoELww5sj9iDyFlm+wV3wuYc17wb2oDsmL71CaIq16lwLxxuXQWTATgj/5pGEmZF7hoLwjc+k/cDl0ZplRBxHnEzeevHdKv7dlzOdc8zU0kdkqMEEihH0J5617J7OJnHelTAJ+Q1jGh4Q1NWUTkq1Ig25ixruUABXRJ2mg4Snsl/Ehb01b2RTIC+WEFUda8y5IA3vFP+Zc01Y2kXlQ4BOx+8hdK4I/q/h8zrWqTWQeFPhCO58fvZgMhiYQKf1Q8fmca07NJjIPCnwhbtdaK5MMiR8qPp9lTU3ZhORB5BfyXspvKnIdQtbCL37DuYQ1UWUTmQcFELHf9TqddgwAnkLLPtgrPp9zTVTZROZBgS8UuaipNolAhMSAhuAPmAlxiXN5a6LKpkBeKBfZnry13c4XTSAuYz7nWrkmMg8KvCOlSj2kMikC0j5BPYehUXwuYc2i2YTkQSQipoy5d4k1B+5FWxFSKhpV53OuqSmbkGxFGsRtaO/apYJbImo4eo9MjXhryWPUoKr44qNn86W25gp8JK8NzwJ5Te891E9KoVR4WfBcs+VL9zmv5uH0+ooq3RnFb85w6XEFeCINwyOcgecS1ufcJjIPCrwiNUrwTIrnVaC0NMuYS/iB/K9yOmZA6QX1nFnAp+Udi4y3MhNGpqbcqonInUfu83XOB629KyxEy4E7lEYEvJmGU7OnrSymNl/HOwBSyrBb+rlsbxI6tFa8icxWAYPg6uCVQ1U/Zlk7NxobZv4z3JgGIYsm0k96Jka7KgWAUKip4nxAPM/tepmzR2vnRhOZBwUQIVMmuSfob1FV5XO/jy+Kz+dc+wGayDwo8I6UIGHOf+mjRJWO+wUFZouvi8IlzqX/QFpXFcgL5ZDG85A2cuebqvNZ1u6MJiQPIt+RXh0h59wqWS/3bNENqaLtRXFEc3nr91NTIA/qvCLlEUWOUemmUT9Z0fayqLmEH95PVWQeFDAI6FC5X2352/6i6nyW9ZVrDKz5z/KxGnZWPulrXpA/+MB86mN18491uP0FGcUB4RLn0tduoaZOHpRDdDLrwFV7s0mCpztfFJ/P8oMjqArJVqRBSBYLRLJh53vukuy2IORbZ/Nn9YrPJfzmCGKR2SpgEBDJBreL4pXY2/9rlAio+Meca2dPE5mtAl8IGXCD+LA3CVQ0FF+WAehDwg+OoKpAHtSxCKh7kQ8XaGW5ovLer/iGYIlzeT+4harIPCiACBlww8ERpzu8IFR1PucPjqAqMg8KfCHkw61ITWYOldXmfBW9LWouYXkKfU7s2Z7fLeqZc83xDY92nEpwKpsLWgEfEta1WpytFoTsq0NpQEigZImQgMEJcuUOTjNwNWtzKmFdKNEKjvOfLT82CAqVsZgWCm0NmxHwEG3cGOzSmNaHvB+ucRWZrQIDgppgfj8pP8R28fXXF7JhM7KsRN2iPuSt002byGwVMOpsnitAlADV8BcBDxEo/jHnmrKqicyDAog4GHFpvMUwFlnmoV7x+Zw/cD3xVrJvyvVUURqQ5yoId2mpFBDPvLLiaAHafM51WmYTmQcFEAWuwfRKCBuCeKmUwemNeKaS0nyw8MzlremU2NuntcQdSgMSv6Bu3oZpBxXHRc3n/EE5Lp8NTpWrKA2IPM2UdKAJrfxmqX/jk/4dt7dlWOVmEtYcRU2BPKhjEHk77lNJuK8o5DL7i+LzWdb7Y9vn8rDrIWIn7r0p883OPCyVvkMyUra71gv3zzw8yWbTmctbl5nyU+fl5dmhNKKTDxqVdwQeK3wg8LneT3YFb8fbnB1ab0itmjoDSiOCKmwsdMYEa0y+xlsFbwe8V3nPvTX68qHL+pFreeJ5yBo3CJheOCvyrsRoimLlcu+zzedzrpVrIvOggEFASoMl0UTJTTn78UXx+ZxrfrcmJA8iDYKyZyiJphJXQnslj+ZiA91JScmiuN44uIy5vPUhsNGN5D9LPmJRz/2B9BpIvQG7it0P4EQ2l/dTJZGIzIMCBgH1BvJZANfFsMfgXtFtjmaJc+nrI2FTIFt1LAKuCyCXQDYHuwPA7oAbJyz4Q/raMd8SaPOfSacdUJ94i9msmD6K+ZrYIgS9aej5wh5Jc13WBA2tzCwPRWeAsMrLVICZ+nwgFkDWA1NIDzXnc+lr65mDSE4IHTuURtSHjTCkZDLwMJPOpgDujPY3CR36IZW1KpAHdd6RBkYg+IQhPQywYqAUlziXtw4EtJBS/rMBJoMwFAXRHkwdxLTC+Zxr5ZqQPIhEhHEajOFgBh5m0tkUwH4Zc3lrX3tTIA/qIMKIDqYHouLzWdaRiCYkDyK/0FcMB3PnTJofLGMuYe3sbyLzQh0IPn1l4H0lEn5IWAcCmgLZqjNBGhbog0/f2XmwjLmEdSCgicxWgQmqib7T+M5ndh4s40PeWvEmMi/CTRDf+czOA1U/5lxHMJrIPASYPhDGd0zsB1MHQfGPOdeu/yYkv4SbeoSBKYz9fGXn2YTAfhlzeeuwQFMgj6EoQB/RHpNJh4rP51znhzYheaEABqYw587kzn0kEs4lrDNCmwJ5UOcdaUQN4juYHojLmM+5Vq4JyatYGCCM4WB64HvS32rOdfJqE5kXkTFEGHzCZEGbvNcvYz7nOsmnnS3zcNJEhGlmGHwymXSQEYfn1bmEda5ME5nH6BciiJPhSRNPoaYQBZYxl7BSNUru1i6sHB1KI6KX4NkyOyMX+0hkMnL+/LmJb+1jlqU6ntsoemkj2qE0Ii6MCrLNxMBsAVEcf/EIclVF1fvgQhRxnxxEk1+QPEgF0SyHEF4cGx+m/amIq5t0wccWxO6K+je6xjWVlRgdCrr8m54dWhKPeCIpEd92BxKCsoKDKeoqFSfzvkWl6NnElSbUXwfbvF7YRQ6mp/F8jZjCrFi82zA7gIXCnC9New29hzuQENy7NCBl9zYSriF5mjga2F6/jq6BGzsYyHVx2KkBrC7vo0Y2OgFAPrOemgyZ1Pp1TGdb6bRxmWKQn/wByQCkVesV7IXhVZ/OttSJex1EDgB2IBkAhGVAPYZUab3qqBN70qTR2FzO8lfl2t6DvaodSAYAoxqoDpKnE6zU8Mz/o/TfD0gGIFdZTzqGLGm9tqDTdOol3eBFTJZ69z8gGYAkPEim03ORIXFRvyrQcCpoyZrXtq5s97EO4H430GV1FEJIBQRqTWdfhiKePr8ZUBpR3x/YEtj05DaGeefi15yW0HxIWKvaFMhWHYuwsXHfH9iS2yDxTb+oDwlrVVtn3wwoDQg6Als6G6C6AcVt0+OphKWqT2ff/De0K0bUdwS2pDhIbtMvwzQ9nktYq9r6/Oa/oV0xIGila0hxDLlNvwzb9HgqYR3jb+22MqA0Iuh2hZ2wTHdc7GsLDXnnEn7YAarIPChgEVeY1aZdfScs27u272trWvDOJaxVbV2rMqA0IOh2ZXremk62veK2vddUwg87QO1olQGlAUF7KezgNGkPq9RX0OUWlmibfU2l/7bn1iRQm9cDCFNnTAcn6O6EbakwO2guYa1qS4jJgNKAMJHGdHDC7k6wDJMdNJWw3h1a6kb+GxI5AAHfHrasMorjokw6yFTC+qo2BbJVxyJI3YC0Dtt6CtpS4aLmEn54PdT0jPw3yTKp+yrkQ0CuhOm1BYqbXJW5hB/4DqvIbBUw6kBah+2uBX2xQPGPOdcEg01kHhQwCDNQTsfnTrlXsZ+W6YsFy5hLWKvaROZBAUQ7+wSCUwox6KBlOmGB4vM516GSxtGTAaUX1HP73Ds/SJJYEbxn00kUaOgtuR4S7z/krcMoTYFs1RmQ0Amp4rwD3E7Demxr3a66+HnTCW8Ilvghb614E5mtAkadTe7AGmLZHN+P1cVPD9JVuSv4e3qUQcU/JKw97IHvuUOqKx6UBkR+SnrIqqOa/1bZAXY2ApW9Zj7Lmp4gcAMJIXTrUBoRPx56r4aD/3apcnR/OU7wTFxW7zjtRLyITh5AsQLifm/Nk/clbx2Oaj9dHn5Ig6Rt3/12jfE6RvZW3DG83A5zCetIRfsh8/CzGsTbdZCNPVIGetms9IrjDTCfZV0Q33oD5j/bKdAi6CkojOFab+Y5QXGrKSmIgMAMyM0+5K0Vbwpkq86AeJsX37i72ZdS+4/e7IH2WsVH15qW6MdlfEhYJ1M1IdmKNAqQc55+cq3W5wNKOJTYgV+JrqnKDqJwjIp/SPghJ6+KzIMCiORBikrJgOhg4nOvy4i8KFeJ4GAZcwnrOFoTmRfq7NwJ5zgq9Rs/VprpdfJdrVyxnipzSHH/soy5hLWqTYE8qGMRee00DZOzGctOqqwTnlW9NM/g5P0gnm+LmktYZ3o1IXkQadBJyt21kFvyF1VVRCdv842YEBSfS1ir2hTIgzrvSPO3ysndUfBJUPnpC6rvck6gPBuFXr+MuYR1GloTkgeRiGIx1hwlecoBhdn+71AR9xNwtQB8e166RvG5hHWKWlMgW3Us8nQdd680heV/3e5qvkZRq4j0x7iMjznXaWhNSLYiBxQZqXI3IV8JHqlPVkXlLOdIgaY43xzKnwTL+JC3VryJzFYBg066r3bdEQNlyRYheggh7jRCegih55p6yo/L+JCwzp9rCmSrzgTVQnpSp+6PFz9k8dRzFh0Cd18zZPpFfUj4oZC+CslWpEE336tHPc17UkBbeQd6NZJyL6p+zPlDIX0Vma0CE6RGyU5P69kqyXtE6RJFgUtZ0iijuyzDj4v6kPdDIX0VmRfqULsmt9967jzo3L+fmkvDNSvlZB1eFJ/P+cNJv4rMgwLvSJ9r6rvhNk3uQ3TQa5YSOl+WMZewVrUJyQsFiJHL0QPKiMxcErK9KDefZZ0V14TkQeQ70gQy6hzILPqpWkxO99Vy3qBrdWvCFCo+l/CbWcxC8iDSoGKkOecreQDFPJ3W9EUqcCHv2N0j96b4XMLanGsis1XAItq8ndYNBEotKDLEmooc7nVaDISKf8y5tuebkGxFGkR2tnNRbe+DbCSnBSeRHIzUVeVSdPIVj6PiHxJ+oBusIrNVwCC2Et3h9GclQ6z8Vteo6scsS3UeIdmKtOiiK3fqm+WmN607lSiQS3Wc5sGhqh9zLpV7hGQr0ipAP5bftqu7r65rH5X7mOUHxs1yYX3Y9S5rKA2I6H6d157xkTMe/CUPRGTT12sGW+QTo1cu+fLJcnW8umki1XoV1BJzZ/KWdnk4bvb/igvhQWlA4ozyl9L4gUPBOAbASzKfc6lc5HKtIFShHUoDotwVsv2qR6P3b6CquIz5nEvlHpF5UMAg7UkrBi34NwY/Ra/4fM61cmLvyhGhQ+kFnYwqVyOrqtURaO5bP0W/DFjih7y1S2t3bMMJZc2D0ojYErykPtA4DYzxP/eL4II/5K0V96RA7ZT1oDSgm12sle0J/RuwDFzix5xr7xvZadstUbYOpRHR9aDmvPIjb4wq8T+4EIwrAHwYsChc8If0tWeuqZMH5QziE+OuR39E6PvARc3nXCvXhOSFAhRRK7af+oLQhYCOAePDAMXnEta+uKZAHtRBREdeR+YJI+NQAFcALuNrzh79lH5PCjzp94LSgIgMwO2S+kmIzVStnTK+D1gGLnEuYe2LayLzoAAiStUudmFtpwAuBHQFWB9Gv4y5hLUvbmPD9FLiyobSgKJYgq4a/71/AxXHRc3nXHvfmsg8KGAQnTv3Wj4LLgRj/FsfRr+MuYS1quyMujU+/KA0oINVvb320+iNf6M4Lmo+59rf1kRmq4BB5yHGFno0AqClY+ZDwtrfRoQmZEOJv62hNCI6BVVkXQG94riojznXyjWR2Spg0C3oRI/Gm3/jwxPyIeEHf1tVIFt1jHIbBUucHoONfwMU/5hlrc4p5qZsMw9KFkkWgtO6F+PRsJ6JXlVYxoeEtcOvKZAHdRBR9UNBtWmK47+pOxr9G+i1wEXNJax9ak2BPKiDyMWNzVt1W9FJ3x0asEfF57P8UGlKQq6zVppWlF5QZKTOUc+2d+3S4OmTR3VHg6q4jLmEH1StCuRBHUREieHcXT1DntS5dPNGxeezrF18TUgeRCLic6BXSpdA3ZvL32pHEXYxUd+rUdX5nD/kaJAXYb9vzdGoKI2I1PFO97KL0aaRBFQVlzGfc80c2DqH5z/bR9wg7DjOUdjrrGjvENWqUVqbIrrntuPUpHI1b18ldGiteBOZBwUQiaNEzaTyQF589FfeMLH9NDX34lyXS1XFZcwlrKm5msg8KGBQYHQrAR//zSmVKdWOl78d4UXx+ZzrvOEmJA8iDaJNeHeacX1yDMZrmwiqES02S60qoJtjr6R+qPhcwjpvuInMVgGL+LAffM2x3hhpIYkYTTUXtlf8Y851pnATkq1IizhgGRXd9DLbtcqCHnD6pHrYPG1BdFYdFf+QsM4UbiKzVcCos3FgozpRON91P2u+685/05a5oPjHnEsHyyMkDyINuu7nzFzOMYQup85R+ZvenWF3naqo+FzCUtVHZB4UQMQ+nWJtaDZwlMiWOk4pg2XXxnqOmQMfxWEZcwlLVR+ReVAAUeDTTK1l472TPNCMqEdws0uM4ojmEn7zo7PIPCiAiJO/3F7RtTHSjjN8Ctq0WotKGB7FcRlzCWuvehOZBwUQHbEzmtzFRy2NOThKunGuJuej4vM519fx4jOzHG47lAZEyd7ldnKqDj3JTskKjaq4jPmc6yvXROZBAYP4Rw76lBPvAx3v1cl/3o/NUhT3bFBtL8uYS1gHAJrIPChgEB0KnBbP+J2NrVBpBukOLLbW9aL4fM4fohNVZLYKTJCI5LQ5p4c5d7KxpcV0RXFCh7r/YBkfEpaqPkKyFWnQxddKj1rlOMx/0woARWrSg6ofc65jDk1ktgpMkOb/8tN6X086cvmbu0fFP+ZcxxyakGxFDmhnpH5tOk/7rfIH0muvIFWVA83VxUS2NNk627iMD3lrR34TmQcFDKLXntd89IbUWU/HB1/T5jgxyWmFlFnGXMJa1SYyDwogImaxcjLbK3KMahYf/W1X91M8+fprm3JcxlzCOubQROZBAURs7vtQ2+FEUsDFyol3c9zbvSg+n3MdZWgi86CAQXS29JWsh5jFHIc+CJHTmE6/e49qMiIsYy5hHWVoIvOgACJmifZH7c5zi+I1HZlzBGoXRFB8Puc6rtBE5kGBd6TBI3p2fd3KJYHh1OjtxY6Bw1VuR3IhRG2Og4uay/sh5lBF5kEBgy7O39BtnjP8/FWdozt/sjpOWQGtZzfLmEtYq9pE5kEBRJzt4+u+iuhmV0xt3XRLGoo+5biMuYR1BKKJzAt1TsqKCXUPJI6ShpiUr3xS6dIk86Uyj+Iy5hLWTv4mMlsFDLrKT1hOYVqEtDv+m3p8QdWPWda7ZZDDvrBiPii9ILKva145e273u24zHD6+9V4NJ5tzyi5qAksYdIKIGIbyxICrd+5csx/qAao6eVAOEXnhyrHE15atEMmBKA+GoHCJcwk/3McSczj1Pq4ojejiAICG8k62fKLmFsjpKVauVz68xLPexxANwagGBGBMdAguBl6ouZ7rwE1TLo+qIqLXA2d8yT4i3nhl06S92mnVm/Xbg08fww8QG7FBnaku6xCPv9QznQGlAVn/du+1Rpe69f73S8Tlz+WtFN9ursG6hSG1Q+kFca2GNkkw3u7eE/4xy1odSqjciQ8gA0ojClydEZX7n24OogdgddC/bf3UneK4qA95a8WbAtmqY5Tb2PPiKjo40UXacRlvN/qwYVEfEpbOzkdkHhRAtDOqHlXHPsOgvAzo+0YfNi5jLmGp6iMyDwog8uT9L2pULpbe240+bFR8Puc63tJE5kEBg+jVvR+SpEbFGvwGVBIZyRep/CLgCUePNi5qLm+p+KNAHtRBFLnmRZnh95Nf+ad3L4rPZ1kHg5qQPIi0KDBShhX+se5QryMpV1ueoarzOdfBoCYkDyIt4rd+fSDYDN8qFcpx8dlBmZo4l6TRnYDicwk/8N1UkXlQANHJr7barIx8+84pLbCEfyhPWJCTM9/1soy5hB/YsKrIbBUw6OIItFMPFhMalEdZAxWBHcNHGBX/mPMHhpsqMlsFDLo5MuBDfK6O86oqMZaWT6r330VOe1HfKyzjQ8IPDDdVZLYKGHU2Tm3RWja3ie9VXXaBjxa14RHR2rYjIS7jQ8KaRKaJzIMCiIhyiw5sGtRxUrmhMRXwfaMP2zjfYVFzeeuYlts6L+2D0oA8q6M8Lca9bNzE4N/GReGC5/LWEa6mTh6UQxQ2yaSQxwo94biM+SxrdfhOujX7/kFpQIHO6L4RQ4B7GZ3G1r/dK46Lmstbh42aOnlQDlEk5bxWDKPr2TiNcVHzOddhIy7kccrN9KA0IOpWV9BRs+87T7hRFZcxn/OHQFEVma0CFlGWIufLp7/B940+bFB8PudauSYyWwUsumnNUZ1t6O1+91q7t1k69INydA/EGFS5itKAiNSR2LRqkQlVctV0X3Qoo2PYerS7ReGCP6T/UHFT1clWOYOoFTk52zSkAR5c9L2iCxmW+CHhh5BSVSBbdSwK7KbUCBexsRZ0d96t5myGZXzMuY4hNCF5EGkQ34H33bneHoeycQz3qs7n/C3AEYjWKQNKA/I0bVA6IuNRta7gXnFc1FzCWlXK/QzUPjADSgPiN0RwWgGGLuQvZzMucS5hHYtpCuRBHUSBDr7FLNTOWm5nIUoa0TuUB6dxv6i5hLXh4YVmTIk2G0oj4gTCUHsmcyWd1g8TewGhSnUMTIKGH7AnRMR2nR/S18to6mSr3ID6lE1I53Qc4y42iSYocTfVWNPF+iV+SFjbTy0RM/8N2aWAIIGznOO4J6K+kRwz3Jx+GxU3OapzCWtrqqVl5r8huxQQZEVixmTZ4ZnhpiaPcZnlFV8WZTJW5/J+YL2seZD5b0jnBIT5k5iiGDmE4o6an8VuMqdnqX173GRl0+Alau0oLhgvxlyXtTHTkhLzn82tRIQ5gZgveCoVimbOcHFcUKpvZjrYlXXfLB8vzVz6+kje1MmDcgZh2iPkEp60ye3xrohdb+JQNkucS1ir2kTmQQFEX9mDXEpcSVMKYgWqEQTLmEtY2xJNZF6og/mCmEtI3ioiVPEvis/nXJ+Im5A8iESE+YKQS2gjmn2E0Sg+l/DDqbdmCOa/MbUREGYW9ul6msm1t2y5PvgKyzDpknN5a8WbAtmqYxCk62Eqn2Z5BVcRuTpcLU/uF/Uh4Ycgds1zy39jgl6PMD+OyTtdbSYYOHtTecg9B4rKebJm2dHfgt9eFoULNnmNU13Wx9OWH5cBpQFhXh0mq0U6AZanQA/97E46d/+yfLw0c3k/sBpWBfKgjkGQnoapa/Hi+iIXX5Yxn3OdDNCE5EGkQZCQhslqB5fY3Vouf5ALv11/VHwu4YekS6Gc0wewoTQgjo3vNQBv6vV7ogFkXfiYc20hcxW4U5/Eg9KIyH9QGd8+6/U/qAxwiR/y1orz0cLrtvagZJHf+Fqpm3hSr7+Py8AFf0hYJ12SN2cPmtX0oDSgnWNhsSYLAkEBKo6Lms+53nOZP+LQjNAHpQFhIo+t1+9r+S3RQL8MXOJc3npfbblKGVAaUOASR2XJ/87GgXwYTACaS/ghkYSdv5Is2KE0Q1qbyb4Fr53pQ7gYaedfLKLEBBSbOjKT9wMNTFQfTQaULLL+G/Tt9G4o9LR9zLm2l1s4OA/BYRvV7qOxEKnF2i9T0WUC9xAbn8tbB/iaAnkIHBvUx2YxbmvqwrC+yyxqKmFtLzeReVDAIAgxYxQX68KwvguXMZewrqhrIvOggEEQcMYoLtaFmfouWMZcwtpgbyLzoIBBEHDGKC7WhZn6LljGXMI6wNdE5kEBRBibxbgtFlSZai9YxlzCD+fVypmfAaURAde+6cQBPTSwvch8zrVyTWQeFPhCyK6PBPamaQgsYz7n+mjdhORBJCKkpQfKemwTMrT76BWfS1intjeR2SpgENLSA2V9IGdda1tjml1g0wpc1FzeOkG4KZCtOgYB137Y6LHafGU67xX/mGWdzN6EZCvSImwEgHz6PWV92JknLWi/HVD8Q8Ja1SYkW5EGARF98PzzRG0NBMp9zLJU5xGSrchPhNTzQEsf6OROClSKavJ9R80KhmV8SFhnbDeR2Spg1AEGfdPEBtvPgOIfc64PzE1kHhSwqCf7RwZ9pKXHfju4jLmENblOE5IHkQYhZz4Q0XNBVY0MYDMgo/hcwlrVJjIPCiBCzvyLT4y14xOqOp9lTa7ThORBpEU9oT/y4iMRPR3VigJKH4OKzyWsiXeakDyIRIQs+UA2HzdZhhpwqOp8zjXxThOSrUiDkFAeyOajE6rAitgOcrIMo/hcwlLVR2S2ChiEhPLI546U6cBKjozl0XGO9l37aLEBd8mNEzmov2sNY0ESxYrjxfjQc33jNNKs/GcptAwCBitkt0KicSQMRwaxuYT149g64mVAaUDYSY8qFKmDen0hcL/SLbx8r0frK9eE5EHkO9L7Efrjndw569CNnVzkpKp/UXwuYf0ANpF5UOATQX+8U/uOKmWXi6zA8bKM+ZxrVZvIPCiACHu3YV83yiwkG+l6UXw+53p30HtHruOD0hSFlx8Sf2SKaVGPXH0hOLKRNKj/IWHt06fjbPlsbaRWUbJInLHlSayZXJCPhHlFvQvNOMbmEtZFTLI/7loM1lCyyFS0YC0KltRADdF2crKCblbbxbOcEtTcbtlzz2OUB2hd4MTxUIrkZ0BpQFgIYQoa+nqOTTKNtfX6dnKrAaf5MHMJ6wKnk+N4ypH1oDQg2aC1GNJUHmAFgSl9gCUaVTlupVTmRaCUTWrtlyRTa67SXLN1ec/BhYvqwnxQssgk/puU/b5+wVwMo9zFZZNashLYK3ZqVc5c+g8pV+wod9rAvaFk0ZCy36fzwxIHdbjcVV7re7xjt6iDa3GvVrHDMcVrG6UDWidnaSxAmzk3lCyyGfqYWw9FAbB8o9zF0Yb9uEYJgH4ofKEtj4LJGVCyyKavQ2o75t3DEo1ycwlrvzgn+gYNjDwoDcgkWpskbMglh7R3WKJZ/sZZvjU5ay597d3dOE4jvWs7lAaEGem4KFRgPstaHXrKwy7s2B1KAwpkaBbrt/YW6d+OJqSE4SZI18bMclyiWYZjEgn95Fyz33j/OAU2/9mEWIMgdRZzTk0XEuhQYtunxH9Pu+65vHXMoimQB3UMwmRZyEe1jT6gCQh0L8ElzuWtFW8K5EEdi/pEWsxHPaW1R6xlYH0PFFzUXMIPxV1VZB4UMAgySTHL1LT9wJYg0K8EFzWX90PqZlUgD+ogwvRY29qD7tXa9gOXMZ9znQHZROZBAYMgk9fk5kDGDSo+n/OHUq+aS5sBpQFhDq7JnIGsGlTcpCdPJayTNZsCeVAHESYP28wZyKqBZcznXNPuNZF5UMAgzHPuE4SHPJoux8YsYy5hrWoTma0CA+qTgCFB2GbOQFYNLONDwtrMbSKzVWBAfUowZN0azh/DB9Qv40PCj7mju5Ql2jxbQJi8islBmORj83Nnc/6YAxokCXvIpUXUJ6hidpJRFZYxn/MH5arIPCiACHNpkbroK61qPucPFVNVZB4UQIRpv8ikhKrOZ1nHxluqbf4b8457hCm6nFvvDi0vRGInVBWXMZewjo23VNv8N+YPA4JMV8yC5d2SN6JxGbjEuYR1NLyJzIMCBkHCLrBHGWYpo/h0zvV1bBnD+c/mD5tsYmCXBObJIQkPEvR63iezKFzwXPo63ntxvuCl8d6GkkWBiJOc10RTLjok4kdFkJEI2Yofc65vgHatsr1yFgEtJlJmmmVAKiVc/w8J6/yDRn2ZAaUR9ZSZeFXNtcJlzOf8ITmi0ltmQGlAQIsZdup25TXR0fzkqLjhAZ1KWCdONHrL/DdydvYIaDEDVb2QlX6Nihuuz/mc64elEVpmQGlEPRFmcPxcn2cYVTXsnvM518o1CssMKFmE1JchsH/p0jQnUNXyeU7n/CFzoxJaZkBpQEiE6bmKea89qblSWQ2qcDAdQGttA8vAJc7lrbeg9mrLw4sOEb5ZDJ8hsA3ie34+50q546IstCtIPkyH0ojI+3mpS/3cKVvrinI9zpP2zstLGP/kSvFLy9ROLtu7lE7t5ESBa5c4zenIZDhPr4gknKfE3k5K/iO/cBR5dKuchwRbivSbkOzAH1qvln8yzcqtvZs7lF7QSUjcBNdJsZ9b31YXccgQDyN/8qLGyGVhkqv0MedSOc57vTS+1qE0ILpm7t7EEj/ZMXPdch8XRL+bJj6X60nXn9zsMgv9bpoO9CFhqSof9G6yXDKgNCByZlEXJrkdqN91QXKwOTmT697lLGWWgUucS1iq+ojMgwJGHbof7yCn+YuLKG9/VVUdidQ7FxWfz7lS7vIUxrkvec12KA2I1PKbFkfflPJcHj/ZK26q//bbJoGiggJ/j6/cRSn/5HKKL3P2aKVq5CZy5dfk12yH0ojIGXvs8uxGsh0LEhdCOS+Xv8VbrtxB2TUuXmKHHszkE3U//pCwPhE0Wov8Z0kuLAI6jJsj7Nv28iKBl8zHnGvlmpBsRQ7IMVIF6DUbvNd3F50Iwq481fiWA8U/JKzT/JrIPCiAyFEyaVFKlaOAc/Ct2Vqv6nyWdV4R3S1lrZrm11AaEb1nQqzZGZGV07MUKoeKz+dcK0cRuKCn0A6lAXk6aAQtpC3vV0JRnIFGVVzGfM4fsg5FpKZANZQGFOjtEa6g6GCklifvekFjFUZxXNRcwjqvqInMgwKI2DEQ7ppl5OhnvaOm5NHbO9REO1R8Puc6r6gJyVakQQcF/aJuyYhiIBSUgDp6fjxq8iQqPpewVPURmb/VCXTkclEZAQIfGCqKZLqVqyPbNSr+MedauSYkW5EGnXTvRFd7OpJZFjWwHSNvyXqaR1U/5lwq9wjJVqRBFz0C0Wv+KqBIeW7lemiKKKj6MedSuUdI/lYgsCUYw1VzhCMjUeegSE7cZZtBVT/mXCr3CMlWpEV0RonxDiOKB1VNcOIso5OUc3oHguIfEtaqNpF5oQ6XI8ZTjloGnZQEEJVhFBX/mHN51HqE5IUCO930USsgIyfTFSR3IGVVFpESETOqzudcKvcIyYNIRE7Oer5mUF+MTlGOzohRMwSNqvM5l8o9QvIgEhFHpY8t6CZMr3o+nBLiHJl4SlFRvPlYqoapUXwuYX2ebiLzoIBB/UnYnJJR1fksS3WeY3q2h3aLWB0nzihEB9eRHVo7ejCZe1Sqi4PaGBQU9JO9IfAhb614UyB/Kxe5KcehsZuCPCNRlT1s5Rof4zI+5lwq9wjJVqRBB/kfj1B3PVZH0eEon+VwctIpxxjP5tU1Kv4hYanqIzJbBQziPiCHBpYObu5wePEpoKofsyzVuWjfPy7J4OpQGhCb5ocGPSJnVxQkriI+Mh2HHB8OihQ6/j+Zpex6x6nHh7mEpaqPyGwVMOpwjdm5eX0E6Cc/N4n8H1xXemj5Oir+MefS4bfTgfLcpUdCh9KAHGWinE6fVnHV6cvsuMjFd+5iRB4nbdfHveMs4WXOHv1QN+L5kLRr3UhFaUB+5xOLFmqgIWCO92DPcF5WqBVncwlrg0pOu7f2T28ojYhCQuXoqaWDcGa2x/t+GbjEuYS1qqqAUIY8KA2I+WijFmEHKmklVM/TYCR8mBO44Lm8H6rRqgJ5UAdR5Fei8s4bk8EaAv0y5nOuLUHa9aLSQ3cojejiY6mWXePp2hoCveK4qLmEH0rlqgJ5UAcRc9XG6m/gzIsYLz3OgjnxZXh8SejR2kpsCuRBHUQnHyYOeSPZk7cxEvplzOdcW4kqUu7OB6UBkUlaDmziZseT95fhYRY1l7C2GVUBMcselAZElBV0KDsVhQcZU+PDKMEFf8j7wZ6sCmSrjkW3HHW1kJNyCyoyZog1LrpFfUj4wZ6sIrNVwKizUWTr2PWEhGaINSc6xT/m/MGe5DOi+II6lAZE2zYdbrWUFRz5xiFvTI1+GbjEuby1rdnUyYNyiIiLuuycWmZsTuxgXOCivubs0dryVAXkpP+gNCCuhzmCJNnrlQuSj25MlC9jBhc8l/eDHVoVyIM6iJia7Ti27QWh+WLNkH5RcwlrU6+JzAt1aIMvh+nNA6qeEDFfbkCXLgMNln5Rc3k/2KhVgTyogyhGMEOolnyi+HyWtVUae9sKRSKiWmg66XtFgZGItBYTWFOg+JeEHq1t1KZAHtRBRE7qYlu5aj/1JiIqPp9lbaPSE3k66SPaoTSgm4JOpz/UYiUFTn1ajd0F9lOdRY7PHxKWZiC7W07tr9ShNCDmPTj1THRwmt55qHXP2RznIWZI+RsZhV5OVm0W9zJnj9bnVTLEDu2o1KE0oCPwj6X208l/u+vp6eS/ndVTT3enMksHrs89lOKO42tU5Xq/SOjR8hqzBX8fUnXYoTQgzke/tey0Irk5eAHF7Jaf/OBF3UH/Np9zea/S9O52cl7tULKI3V4tDeLY95PTIPQnp6jjvUuA9KDy94LkbM9vpoIO9QM4RrpzzOUtr2qg4PodJFbUoTQiSpIqT9rbtTLXkd5I5WAlqgZOkdDkng8J63PWzakfh/rtG0oDov401PPpeLn+cOWOjfI7r/tWnz49jpcSiUbOPLpurxbaxgk86gqeS19va01IHkQCQuUOynlxlyYCHqLc6dT5S/vxdegGOJ/ztyPheUnjkw6lATHRwLWdes/Re+as2zz3Tj1P71++16N1IhSt+b5FnQ6lEZU91G9Ka3kS+xk1q5KEJioqfZLGTtkPJL/t5GLe+5T7+EPC2gwkr911SGPXDiWLIvf7ukK9A/lndfpmJ/+Uu/aznvT5k5sfZwH0Q1Sp3srZ3tgGmTuwv6/KaUxQePlej9Ze07br5WEPROS9bBDX2+YBGwvunfM516Uj5MQKSljdoTSgKNkth6Y3cXGzr2nMfXaRzRKCtCjsIDSX9wPJIuUPqKnRoTQg7oAYav41ETQ5ZiYel4FLnM/5Q+kIZ14o/96D0ojo7RH0Nhc6utDagnM2R9zDi+K4qLmEtapNgTyoY5Hn1BtNshdnuJIo8Xs+nEp+te2sQM3UhkXNJazrCESk5Ct0KA3oIu9zuGMtctjYi6/Z2Hx3nrqxgOK4qA8J68S8pkC26lhEh4m4a10LM+cFreANlCLqgm5PuIyPOdfK0YEhupo12FAaEUWHolNiT8de5E09nKAqLuNjzrVyTWS2Chh0c4qE376CA/o3iHjAMj4krKsK6DaPVCCTAaUR0eYRtS63/JDiuJY7kJ1fMRwa8WAvftDMIy78jF5NjbmEtapNZB4UMIijGrHyQdLZJtZsN+aUiJWpj7nhis39toy5hHWiaBOZBwUM4lCBEmWEnZN7TlWcY3XxVDIwPs3XtAuzjLmEtapNZB4UeEOXZrsxb03UjUXVUWoeSb+Npz5kuIy5hHU8dK/+3wwojYgjwptu5XTPlr+dGtbip/w+zhfFcVFzCWtV2cGyCVFVh9KIbvEi6zNPxRuH5vWHyHFlzWoXjslju8PLonDBc3k/BHKrAnlQxyDP3uD66LDrwWnOXGRng9PsV3ptUm3t9bKouYQfArlVZB4UMIh+5MOrR4O5dI+a4kwcKQVpjvvh2FOsVw6XMZewDt3yRFH8nR1KA+Io51GfZOZzP7StYDjpoHdEvVYnBxyCchXiMnCJc3k/xEqrAnlQx6Lea4QepYv2g0O7eQd+zx9RlcNFzSWsA5BNZB4UMOqA8+umoo/j1AdJ4kha5hRufuSUuMgsYy5hrWrzxeU/65kDxEmoRVUNDvA76Liaqr3ixqM3nfOHdN/qNsx/gxMREUWOTt2QIh/0DiWHKog/eZ3jMqxyUwlrVZsC2aozIPJv7BrXvDjtyFXSW4rAnVr4HPeL/c3Vo8Tf2+5zXOKHvLXroYnMVgGLyCo9tQt1uNlNo891OVPR33zl4OUKQadhdVjGh4R1ILeJzFYBow69fRy7Zwhxad1Zc8vYD3CGqGmZdJQ8fdjHZXxI+CHmTFWRp1BIdChZZBxc6PyK9COfhzoY2dY/1fAzi4IFf8j7wYdHnkoX1dnTUBoQtXh2l77ZI9MRnUrdFHlfPW/xrhj/Hvr+5hLW17g5VfOfcbEahyt4m4wnChxqxk1GfLtUofkyJ6B1aW8LI+QhqADopMh8OYedWnhLyt2XljZyx63mROe8ils7FZnQxFzC0mv6iMyDAojQ34m+UM+Ocn15ouIfc/5QMFpds3lw1Bq3bXmEiLySn92L6VLvS7YgrB82VcHG3TuVsFT1USBbdSwKNK1S0l5EZF+QBAcu4iov11jOS2YZ8zmXta2PkDyIRFRu8YL0aIeVrrZiFVWdzrlU7hGZBwUQ+WIB+e2WcNhNeSNFiHj0sAzXKD6fc6VcJySPInuEyl3U87wgea4vCnP7TUnqb3rmCxKr9CbDw29HrSaeSlgbJeQp5nBABpQGxHXR51XJvfl9rakVYfP8uvTqCeTXZQzVuUHbvG5WHxLWYa329sjjuwQRvHUg4oHREPHpX05rGiIv8e4jJQWdbxI6tNzYHyF5EIko8JvFe41ysuLBvbAmGEYFpm88zxDHZXzIWyfGtyuQh+sByIg06gQmjRA35ccsSzclcyUx60cGlEZ0S1WwUmeZiEcfDWFW4ODkihtSdiRsn8tbK97UyYNyiMTBG+5K3sZefG1VZWMjfdwElziX8AMFXBWZBwUQeSJ4CPr2HqIhfaQEFZ/PuaaAayLzoIBBlAgbdLc0URQTDQHF53OurxzXr95Or1xDaUCenF9l61RetbeIh0ZDUHFc1FzC+jo2BfKgDiJOp+JE1jSGGDD8ALERXNRcwg+PDjtc5VDcoWSR9ff3fnsMW9jwAywKF6x50fsxygO0XgZx+cVbOa4elAbElk+sbawwMmA8/P2CjXI7R1+UwPhD3vqubupkq5xFfFXv+BonAH8/LOpjzh8euSoyWwUM4tzneN+9T79GBoyHv1f8Y871Q9ZEZquAQVxUUbbM18gAePhB8Y8515H8JjJbBQziBhPHHqvfHj314MXvFf+Ycx1zbiKzVcAg6gNFPv3KGtKHJkDVj1l+iCtXIdmKtIgdrlpKaQMOEDgAVT/m/IGNporMVgGDqHCXMrU1OAAhBhMq6BX/mHPNTxfYHe2UPK+hZJF1+UM4AFTFZXzMuVbOi3dc6BsflCwKnKN0nBqr2DiN/3S1rquPf8AyrHJTCetIchOZBwUQcWv4Qx2FNhcW82QxcgHLmEtYBxKbAnlQB5FnI2HTeASmAqPi81nW6mxcBbtrXLOhNCD0uBtfObj8UVVcxlzCb+kCJ7Vvy4DSgDAcgIqjAtxr9Wy5DNM518o1Az9bc98gdAxgOMC49WEZRrmphHXssimQB3UQoUcDPe7GVw5OflzUXMIPNYjVdZwHRzIizO+ErE3jHbee8y5wYFz+uHx0zHB+81UP03PNfiDTPPhJ1vbGDSWLAveuOuvbG/Zcs3fOZ1m6Ym5x8osLoUNphvbqqibP+SZnRIMsDePVUTRSU08KI5xzCT+5EI6D3KjXJdmNHUoDAiGoALKAIkPox5xrP1ELj2QbLLG5yH1YxST/YsI5usLQiWUymqfy1mnCTWQeFECEufGBMhivyvWAfjpUfD7nunCiCcmDSIN4P1DOXvND4o+M1KtG8amEZRzjeSDy4mFBIlAkCcUHaT7LOpLGhSRK1N6hNEWS1M97560vT1QA94OPOdc/a/ux8vDTWUQiL1WAk3uuW6u1UAFUDrcZvB3m8tZVh63mJQ8VMIi4Wu5WEryD31Z3VE8xVCeZuqL5nCvlHJOjx+3QVioNJYuMi9W4SnsfrxNa0KD94yKzch7aaOlg9+t1v0gAtC7sa9cjD7VbBsF13GknvbW/r6liwNqE+ZzLqyrZRfcmvXQelCwy72Rj6xgjrTfgjHUJhjDa7OhQQN+HcdOARwmcX44DDoeva2DNgngCHXNLHLXR4Xy1P9yMpM4mmb8dShZZxzA4eNEXjW5zuImH228mb+2mbP7OPHo/AaGfFB28sCirDlNktMZa9PRF7d7rxb15nK++1w6tnSItAJn/TDjSBifRzkAbBI2n/niKt7t5FDbyvR53bUbjOLFJveSUAF3Q/aILoB+OXOFfuQu0HPRBySJTq4pVlVhx6bmqspaAE3eV37RB4oeE9SGr7VR52LfMLtYrYJTDyiyz303nXCsXYllJkGLlDqUBBQrAl+1LU0f6fAyTZYEJIVg3SH2TCzr39v71+xbe5M3R/3NRvQLnTlvzrdsoZhm9Zwud23hz/C+KP+rk4eqgqnAdUfGP760VaD9ytj+5uQEoVOx3bbpVNuCDhKiZFT1lZ5zaeuEsR6/yIF16AKYbZ1ey+YuaVpTvyf5z0Y5T0M7X0WSDYKYIJqdAHg3emh9rWF6MM/BxOMox+kHpBXGTgKg258YNFS7N5JJDtfaTgCM2Hr8/JKxPUa2QOf/ZsmZEWJ2NNe944DZHZbCO0Bycy1vfcAcXlUoLlw6lAeHVwSuH1gBaCvM515l08rIQ72mH0oig5Bnz4yB3Drtt2CYNfQOH8+Kkv6AP/Fz6chnP/ZiHu/ML0cm/vEh23cf5Htck4IbgrtZ7fD7nUtVHZB4U+EJ4dfDKoeLzWdbHqla4mwGlAWHdLNTUWo5+4O+H5gK2wnkqbx3qaQpkq45Ffd0s1tRa/n7k9u8X9SHhh/rGWhubAaURQU0tUWo7jgUQeufv316WgUucy/shfFErZTOgNCCssDUknkDwiYsyRcRTCesSwlZFm/+G8l9AWH1rSDyB4BOXgUucS1jfuS1xJQ9pLFiLi4WqWMSKxKBQtfsx5zq41oTkQSQirLC1XJg9T6ah9ATF5xJ+SHOtlbIZUBoRVNh+cmHCMnCJcwlrVVulbAaUBoQVtkj+iaqasuHpnOvgWquNzX9DwS8iqKnl/NB46qb/zoV56TKQ0rNfFC54Lv0H9teqTh6UQ3Rs7EvSh+ydC3N/WdR8zjVtqohUus8HpRFdnOKifBAHx/c3OYMZKlBUHBc1l7BWtYnMgwKITk4V2r2GEI+zy9Qx5J+GxLNfxlzCOtbaROZBAUQXOwXVtTWwX3bMmAOlZ7+MuYR1tZ0qIGHhB6UB3cwy7pWAgaPU1Zf6yYwJi8IFf8j7rfauJiOhOka5Tcp/lU7qnf3SjYp/zLkm92oi86CAQTdn8VS+UaD7RFU/Z+nQD8xjVWQeFEDEZ6LjqBWeXKpeETJcWqLOfhlfEnq0LgVsCuRBHUSU9kGsjUrqG12HDN3nBzHoXMKa4bWJzIMCiLw7Hw/uJ/vlO4mnf5mzRz9wuooCtbdIRWlAgfN9NAWTPekPQvJPVByXOJfwA6drFZkHBQwS37erFL9nhyrd5wnojbUUFzWX9wOna1UgD+ogYn/K6cIb4oD6uevLApcxn3Mda21C8kIBboN9atGaQa98o5WLdONfI1wvy5jLWzO8NgXyQrmTiVK1f3RBV4eQbhWXMZ9zzaHZhORBJKKLiVKjZk28k6FqPVPPBWsUn0tYF7s1BbJVxyJOVTzU24fsr6D49ywdWivHeXyXdml6ULLI0M+Ccqj4xyw/XKtaSJ7/bFm5QVDEZ0rY+jK1gSm3W4ZVdSpvndTVaEzznyU1RYT0p1jHDTXeXw5NdNN/yPuhopEU2KUQy9LIGsT+5hp+AEJFs0RQDr3d6MOey/shUamWnOeXAvQeYak6+rfR24oe1fmcP1r+l7Z8RKYnQ1gFnFCvBtxWnRS9HYpG+VzCD36AyuaU/yy3EyJkgTIWKyiOi5rPubbuG2NTBpRGBExPaKNaW7NXHBc1l7BWtTE2ZUBpQMj09G6kKSGFsTz7RRlqq6m8H5wUlb8pA0oDQt4ntFhxGbjE+ZxrW7+JzIMCBgGbEzA9fRl3gx3aL2oub235NwWyVcci4HYC3qdv4w6WMZewtvWbyGwVsKinqDL2Kyj3McsPXDqVXCoDShYhKZWxSq112alqmbamEta2fiOXyoDSgJCU6t1I06x/Y2v2i8IFz+Wtbf1GJ5X/Rv4sQEBDhTYqLgOXOJ9zrVwjkMqA0oCQeMpYpcae7BU33FpTCWtHRFMgD+ogQsYspKFCI83amv2i5hLWjogmMg8KIELGLDTSvuzX+ZxrC76xW+W/gcALEbBioeX5ZaPiouYS1qo2BfKgDiKk8/oy2ax12S9qLmHtemjsYvlv4BoDhJRdxg5CGwlNPVgGLngub5l1+yRo5yFdGxEmdgd6B4VdzkSOj8FhFzcZUWoQIYjUqDk2Q4JWmnxIWNtPLe0oD0lIBoGtg3aQyfOB5KX5nD/kUv3z5RuaSSXjZMblOOPVlUjVBv5UlqKbxsrudJVxvMfvPuP1dYr/Lm0g2cYJxq5YV/8u6Q3mKEDPKUX0/+XX5fQ6Uuuiz7Bl76gC6dpr657XOdfkU/s/Tq7I3TjB2G00ltxJR8lmQRo+l5N3pM+IWuV3LEaPkE/d5fN6DiV/V4iVeOp1/vVJsvzi5QtOm0U0lEZ0boRqiWCx//bLq1vQl2PFXq5u3ZwPQrVj20VoqzWpUwnr12G5JDSRbDgPSi+oE4nqHMR/QZlnNQe4KH6ezZ1IfzvV8zmXsM4ka/Vz2VbTWQR1d1gUyC1Ny72hqWwX14vp33hPvbQ+4UPCUtWHvy6/sNl1CAnjDEMbsrdxWcd9SLvTi3wjzZnzIWGhqtvKXX95R0/5M044phvx8vyuLeONntTLPP3wNNNL5XL1vi1jz9u7I3O+fOa083fj9aZ0/7sup5uSjhOOywGijPm1JVOffIilgokyZgubXzuXNIMjyql/V+Cr7OgIegV20bitrOCKXsdlHt0VYtlbr0MPdOX+uY5Tdp0yRfl/3XU2kqVZr+Uz5zXo2Y1Xy96Ock+6skHwY9qhZNFOnYTd7uRXKc9lednue0WUprFrTc8W6YailChBgZGovPFredcU/y1QYhiZr/LJgz8p57IPXZaLIpPN7Yc8JR1KFu3cd5S8ZLJERk7ebmbBRh3yXFHzTUG8qCh1I2XTOUiClAZs9LQUVP821WX96G//bi3Vb+OE47voo4m2jmzAW5wXjvbB8uzKM1deDLfnX8P58szfUnDryKd570KQQzUv9yZLJfa3W3w5bitHvFscUo4qKG/tTFN2uyJX6yTedVsszxPDgfwcuQfJgFiOAeWX4d3JE9dQAbx/eHJ+lBuRNwRP91ABfJTx5Qelj/FO6KmFXwFsmZadhKaW3p2OTrq7pv6XfcWRUFZ9rs46htHCcRlQGlEfxpu0a9e0dOhPD73rPySsS49axCv/DfEv6IyILQWx3SD2p4ceih9zrvPpt39BmYPaOE3HjrImOSOTD6/3v7DJi48cOmGTe/Yoz3XYane513lWrzh6tDnDLXfjBGNPd6e65v1WxEcJN3m6HYtBz7fUVn71MuZHsryHy/iQcVlGDOyOns2/zoott/umjP91nMxYHhat1nb8ePCYTlubsiOXW/C+9+Grz3ihSSR+FU9vgdyNE47Psgd54ReMROfGHINlTCcUHzg9iwtAvZBklOt6/vOeragyT/lu4Md/Nv9CxSC1cVy08YwTjqk40Ds2x8JdZvU7/w5BasU4xT1QOYnf+H09m2ddMuD+HVESMts44ZhMtENuoZ3IqIsdKbt92b0PZcKkUtjDyV5BbtDDie1ejqtlfNYC+TLWso5yux5e6998kaUlHUTPU955ajBfJEs/Q/+vdf/veq6uOhmcznPa9jNOZsycnaxu3OmUICepSCa8c/yZfhzo2Osc37qzOZfmYHkeYxR3bhsnHN/lCdHqVUeVWVEqMB2pUk4D8s6khzVKe+jJPOv0i1a0mf9sCScgU2uJFZRQaY7V/EVZxzzEmozBtWbaxeFD3g8hm7I/FCGHhmwqSiMqR4VyF1fWnrIvlwdL7qVY7jJCR3XRlm3p1pLpSKf+cu5pvuXA6FVChxaKXxTRviSJ6BknHMdyLxUDe+NxeUouOUcUNclI4V/gOg9yS3B2XhmHatTUMc9D2QhcI8jfLSf6jc8WF0WBLilEmOmwdJ5RBQjxH/CpsUNpQOSN2/0eKoqMpNSlvAT+lUPUVdkUPCE5Yziq1d+dlkF+SFid/2K5CsxBlLtxwjEZ/uHmjc2T8RouvprMNhDER+DJCROk2Lx8lzwrYbfzdON1KJe2cichxzpOZlwuTLlWYjBfzO7dTsJlu9cEAnr2zvG7z3ihykHXkXwIRZVnnMyYDXsun1XGGt7WD2YCPPn9fXCWsAS1ZvOsDj5092n5yjNOOC6WcDm8iJ1Btm70YgiTZyx6PiBSucq/6LjceDbPShVffkbmqMzdOJlx2StCM3me8VH+HNSFQC7N8n67h+8+49UPxDWodBDO3Tjh+IxCPl3GJz1Wzsl4o5CQY5OdsyCdeNkOIrggy1J+xDLe+LhxkMORfQdpKmu5OZAzv8wjHCUdSiMqj3fZuYT5m14aBZ3aPZEy4wu6leiVfXmHnBT9fpAXLirRMUXc9ivUjWOjOYO8Yz6krzaOK4pxRBtHGycck13sLp4ubJytxhtHEOOJt1J/XxJClzGFKMMwTzf+wQfBv6gc4TqULCL+qPIb31J1T+l0hCTrg9yhBV3qZ+BkKrcfcZwF0Eq5nZPI3SW5NB1KFhUzv9xoTommdnK5lltW3sT7zZ/0clt8zLK8E+k0SsX/QkjzoDSgcm8XFDWqwy+Y08v9RakaBam/hh9uOs76l1l6tFSOjrtS/J8BpRHFjZHcxEQ4UpCSidBdRqdi4as5WTk9p5SjN/1NDeMPCau9kFm46NnL3Tjh+GA/g7g/TscBRN7zburTIvQ97uI6X4l40AlGN6zZnEtb5mEHyAMd1yvSimusxj52ziT0+jdgHPviJpvLWxPntB0r2/3LINzpKC+o/E0coBVtlVSH9j3lxvqY87fSp7I1n0/pE6M0Iooh0qWT0wohv8l9GSmW5vyuh3uqiS1I/7YTib7ftq6ey1Ve9ou2SOKZfJPXodX2Td7KKByDzzjhmAoFo8RgPT05UbJiPfmZywYp7r+NfCV8xWfzrFQhztf93Mjie8bJjjnmJCIdmSz8AvNcvyBsJJ7T33Y2paRkXnx1/mYzRryVdIl2sWg81T6XOyKKuve//QjixCT/i7j9Z/qsltTEZ6PKMw5UTVqeB/ZcBPbq8/ICHc444FnGlKuyC/dFoDfCLsd/WNJk/tWpiXwpZbPkusgOJAMogL+XAyOfkMhs3l3gB/w4yCHrhLf1oI4PFO0/5WOOAO8fB4UhynbKB8+5nJW2tEnvVJBN2j4gGUCZpLtuj8dBjmU9Nhxkn9CLyw3rgBVOp155UyiaWI7Y9Is/42TGBx3NxVdFVQRRcs5DdHs9mgeyMqNjk698ksZslc7mXN2IlBEYN3YuP+OEY6LBL292vscpzh8lm6mMYxtT9CLu8pz5cvNFsVh9uSGLaci2vad6hHAft52/G6+uInlD48FFhc844ZjM9yix0EB9JqLwxoRYjvVlt/LyPO3k/PH2Sve/wGT+hYrlvUyBjIMDdx1IBtwXhStO/iFP8oXvuzhVy65TrPpdSgdPCX5IIu5JPs5yguO9/aS4ZvmLfGcqZ+X9pRT1ffPsW+1AMoCKSIjUiT3A5CSh8CF79+hMUgBnsUZq7kGhxEsAT3CKR5ie8k24qCPlIhUji38iTkgqgMPskdL6y8c4Hj9XZ3k0fHKM8pBxhAhyk2zTob4hkRMKlE2Pf/M5lztVORqV1xK7C9o44ZhOGl767x1HebL8yaZFGQca8/9H+n/xts3mWRrGF4VjmEPkGScclyPIvyAugqNM+y/ohh7K8bQ8arwPkjehrF6MYU/2OoccD3KwBQmPzeb/IV2FXsKXpkQ+KA3Is49x0zAWHZOljRs7R8kCuLRZRiS/VDkUXv5llh6tHnUizzg556cNUz8Us1RKQzY6pUU+TBBxrBMvCiValFuMt8eTGRX4mdiZTULeS+1r7zKWJiV5hKmGhl1lHUoDoq2Z6PQkmEBNIMtxXk0hNKGMKQS2H1p0xM5FJpTMufH3NPlmp2zqgsQu3On5otSd40WzHi0NfFaA6dwyoDQgiuqWW1i8ouXZ39lUECM+ejoIxrsivmOkrmc73P64SAri7KuzZlVETpN6k9ejtYOzPDwUGJUQ4YPSgA4+EKpDM1yU8L3tmkS7nXTgc1utBvCM5DFwG39Sm65SigHN+XySXPsvjn4MAnxotiZupRfJHaSavUPJIr/xOVdTcDylpBHSv930SSUt8bT17LfX249IPss52Ctx630yktv2vPhvsvwP6WtHBL2wbzFQepQGFHmLumoOKyug0Rx2dJZPVtcDnZfv6qSgDO2iTtA5ybV/a3DPOQ67aNT/Q/ryJBDF/5CfYeqH90mMiKIC9UCo9idZJU4LxzZOiGCXY7f3wcbFng0JJHOy8YVSuuHKq0K1cyFwHuMzTjimopZwsBCOkwQpOPUUig3S7sBTf6wgHPmeoupKj+YohbSYANHO2Y1XL1gKtN6nmFBtnMyYcndu8SqzybSJfXYQ3WfZM9jnclApLcX8+WNk45eP8ZvuIB9w/T7dPeXB9DwX5QfJVRcZ57YPsp/xuo6mdcHIgNKAoAOo6Q6K3TPms6xevWf5oeLN4YVnnMy4nFDLWAJ45ceMYqlxP4Qo8XMdn/K2juS24C3vpApgpTeazb9881KUtxxBZF/oUBoRvRhu3Zd3MloKkrStXfYMZZvmuFQ5yEjmzi6b3Xa/ztmhpSfwyZHNQ8YsIsp4d9ct+VAX5cYTaacks1LmNcUI5G/bwd/TIt6b827lUSyI26Zo4OKkfLDyWCm7LPMQXrH2UJb+Drfm60L27lzPdRSgeezz6L/vEXr66ZTJKOqvQdmGGhyntqCcUSiHBIr2uV2bBGyUo1OQvCU3ztfdlbBuY8bCXcuwNm7S4PYaPZhqtszrKTKCsMU944RjqmIJcnCLkgbPS4nkew7CAzf77ko8+dlCZP6nZ5zs2NfM+0jlyOEQY5E6eoWDt7dIF7zYGvJuIDtDzoucVRLEIzubf6XiTcUBwvv0jBOMOY0viCsFTKHenCHHW5B0o9k8v2Ss8V2Vu3HCMT0Xu5SfcKjPCXMxuD47F2R5J5cNQBNfJnOuC8/pRt3oTJwBpRFRDdwWb42ek6uVk3F50yeaw3I2UASHUDigBiLtK1aClqTO5S0Uv/nA6q+brOwOJAMi7btB2LJvikMSsaBnUG4v4hmVkw9dMaZ85O9QCsbFUcGb7sgCWPu5nNXLjMML5Hegt9kDkgFUarMTIR8Bz9keh0SpI5WROClPPimRSA6Q9B06qzsxTuZTr7yEzYuXjUevG/deP/IAxe2SIAG54CTzwlN8X9vUcn5e+a6z83TjlVotpyRjfkk/7nJQArHCh0viD5SJxmXuaf7dbrw8PZcDsfRqacPUD286Me/8MugO0t1pN3AFC3+AiHyJRYSGFzeeN5N1w2XC1C1xgPwMUz+kC623x87pzFqZRC0j3F7DspQNL7E/esVzUiPf4nTAcDhhN1wekGgZjvMynnHCMYUVfdha6YX3tdCfmNxv1Y8+L266yTxrU/T855UArI0TjqmIzmvdTl+R11fb0b7ntb7elT97yePj4rxLDDaqo/JayU5ec6/F4Y5ui9r/5F2F5QUlB/slfQjaOOGYUgnDKacZqHbrq+DKYTNEr6l79D5VDiF6F0t+Mx35gjjWKSkk6CImUlcb4E69hxxnwz3jZMeU4sB7xxm5kRVfw5M6VnCmdtFkY7Z/fluf9Pb1smefnF56qhOduTn5oWaKIU1fPQ/2/fLh7TyYXzqKa507bXuRxd3LnWyz5NCTACZzLDm5S08ulpFU1pNJ4ISyVoLmkqHBZcxcZMVroc/zKeGkKhYnjBwn8+FLCsVJEUfnOZ37pNIR5255I3BuCd9is+u2zmFtGaZ5zDcFhJmp2D2K+2Hf2hMhek4QOJyyJVxSx6aO2Zu2v0ZPcFNe3qZ+Jio/osYeWnK/0y8o0ZgvzZa2YrUDM9iEYB9S8cwhlQkX+TqPjR0xF9UrRqmyvjhD7vSSHMr2JG8GvW05m/+H/UdizU53oIrSAtF+VA5z8sSVzc5zAalkLbAdealD/GOWpXX45HvkIfvjHaklB8T42G6A22He2pjD5pBMJSyTw8uzH09p6trGCcblqpSfUVqJOXrNRa0bppO60gtzll88Lvn/J4G8Tyyfzb+uF2Nyq1340zqULMJ2DaaVA+f/3EFeQRdz+dxOQg1sOxek5c1emr7pNh/5k9ot5+Iz9b3p98iuJtv+HnUBtEz985zLyeeyNk44pqQFfd8EauQSIqflB9q6Qjgl6krvKndJFgPne/JBZTbn6srfZUM8Nkn8a+NkxuVIcUgup5N9QLJgaQ87xDFX7ln3Txuvww3U3Viz+Zd+CaZgIGJ49ks8KA2If3JKL2REJSblwKFVkFQ5REi8DZxaRVWcgqRAVH5Wdi/S2U6+t3OGjJaVb37fuuJRSuQpf5PdhE00x8mEPKdUa24aVqEUsF1zpzgaXD4pb4aPFS0vzVOTmocKVYOgltWzchJc//reMusssE9+k7zcDqUBkSurIAkwej4SX7e8/ziUW3ZoIZXwxMm21842nrpWUAbv+TJnj9Z2OzfB2GtX5obSiOilXqxeqcXgTuDcV53P2OT6CvFUgihu+qBRl8hd60M9DHies6KdkauBJZ6zEqFS1xzKA9LcNSrXLYdqDWTxkedWSm9mzwtb5dKbrmFNI9DaVeWXrls9wjZX2EqMz2z37bUci19tl26O0LvrQ8Lyd3va3uW/sUczIGiXh33ITZN06Odums33fZ8/5K0LQYulXAlW6jiZ8cXuM3EVdxYGWB49L0e5N0KlC3mfc5Uu5JlGkP0WzzjhOAShx6HxEVoJRjiZ1EnS7LiN4nHod2nMd/pszpVa1LbCea4ae8bJjOkGkzJxU3HXVdDRk+W2IUMQMgff51+peNMutUmhYwcSAj72l1eRuGTZJbWJfyo6DlgJZwC7gijAzskNHMvdJKt6PvU6+kf5QKckVT8gIfCOdZJ0GO8ox287JARIGUf0BuLXeNmBCcg7nTaXuijneYUSI3PUlUx4BDgDm/4iOQHu4kUJVwe13yzgkkIVyW+SnaIc10kdoewhLiEC56A1gOVriXzyO1+HZ5xwDHXUfX011Qwqd2nv3gD/w0V+iSD2cnki1aSmoOkmQWfqb+f16BHKhQpSNEcEGOU5ZXOJwq3O1VKUpstE32WKHYczmXvuGSccU03aLUR3J/lv71tT7U4Kl4qpruNNlC2fkSt+0g98n2LaU4GYhkhnspab40MZnC2BsKETpgrf1oTTkNt+NSRD4uG5hDXRKKW2lGmlsO5BaUAUTt6LVaBHhb6k05R7kqOmoONtlh4tT4DslL+06q9DaUA3Z+hsoQZUKZVJu0XtO6V4n5eEpz9mWd2FN2eE801Yh6kfEg3WHvmgwxkz0kyVS6jEtUR5IHvgJ+F9hmVdCZ8rHZeV6DD1Q+bhuPiQ1M3aiaUWRdos1FH0I4qBQ9tXlEATpZ8eHLV8F7FkG9JZMwpow04DeuHu8maTpNJTfXf0HuG80XIHXfyTkrUjrAdUMrqLw4N6VpTvc5Y03X9S0luOof/YFUtBO/qApFBsVB0rZhsFarTWkZwpmptAqUJemiTRNq1VN69rWMUG6hJzv9pu2P0g3d3RXY73r60LUdRFntFd3o97lzq9ybyvIfly9PXq54jErCCkHReHMaKmAjwltX2p7UTWmgiv8afkkU0FEPKunMwAfYuC0nH5qI1D57OsAieUT3Z5T3b4M044Psr78JKsrIsOAFfkd+NFr5QrOkk26arO+2r0yZxLFz+XJpxSTNajNCB6b5QDoVwJekXQrqdREiL0ICROe5NsCYmYcwnr5Kfj3xnYBH3GyYzLTKc0mzmKiVLGrARXY5xR60jK/ac9ww/yXp1STTSbc+mcEh/Hxc6pOk5mTPxPTstnnrgDHqafQzaU2PRVRpP5l8wb5V19U2wwd+ME40iOm/uIkvNAdFHiX4+Ukn0f/MNGso9vqR2MlCp0a30I01FpDQmV6t9ObAVK97z9bmX14+VplEzh8nxKg5oOpSmS0x9lZVJpg5wRqXhh1yz28i9lwinnDP0vbc1akvwhYRn54Nr/IyrB8oPSgK7t7PoO8d1xtL7p1G/3UJrag31mre9WneV6mbNHq6PGRZEQoWJ5xgnHxNsU5L67qEAwSBeIi7LLg7DLXEQ9UE7ovDGRWzlIaPly5bteCk4vSvsp15//nyoavNw0F22eSqoz02GVlRHokBguDth3IBlA9LUU/eFgOaVKETOtOhopgTxGza6mLF/KLnE9klDlRq5JIdwmtPErtiZtnCyMzwRzNZZcC7Rd8b3ThskMz38So+SthLL8/jHPGxW/KYkBJXIK3S21ueOkzn9cxBu5WuYfW6P08PHxhPkM5VxGT/sp5zJiGzy9kBwSgeGhvIa+PPs8A7mDJD5L7jSiZuXJykVUHkNqWnawn4czjU+RRvfMJRyQrwtcbbT0dqTET9po2zjhmLP7xDLz9G5y9/VsukIMAIX+FIYhijM7TzdeJ9bTA+uUhLBD6QXdvPWLr+zg9IirbzHYKmux6pYUL7Noc1JuqqnlHAWRx9NFPSrNpa/erq3mJmP9DYy7Gp1T4iecvEburDoW01xqdMS+91qWSYb8PtT3dOMlBQglX2+cg/WMkxmXyxkk1RXoPXraD+IPCLswh9KZIEgshQkOVN3Z/KujOfGylM2SO0B0IBnguZRNnqwoHqFLM9cpAWyTBFhuR/t4wwI7s6SgB1xj4DSbCl1tpjWhKENu0TOkDNR/HBFOJqWmT5d5Evm7tKT3CZcVrpTierFX5hknHDsO/nux0cjJtDnxUu6+6gEOWXCwUnTg4FNyIDoNd4bbzt+N/z/chY/buXNHu43vWq/U0/RAOLEJO37D/467kOvWdy8dk9o4wdjRPb9Lp0l4nXSvmdl31wHIxhGbR8ZYQMgte3N4sKYtY3DSBP2mcy73vLLx+0tqvNs44bjft/r97BSKSbEoupLKvtRyMueSn4BD8cxS/YwTjkPZYb3WO0ca78o34OkhiLt9GfYvNw7gy009m39lzdLU5Jslq6cDCcFNvUv2IAlON5W4kNOK82EhU7bPbWU+4/Lb8h04n3pdLNFKGfJY2AAISyAUaUkhPw2VlZ/MCEayBe5OPvlaOtGh1WutGHrFTpVc7TZOOKYkv1PuHkd2y3lvQrhV9rNTHOuOagtPOWvy6+48+UpxE4Qz7jJPschOrTuayFpuKJVpMiPrZDfumSmZ7OrwmukQmYFSNpeygkP8UVSYRoyVdp5+vHQM0nQnd+B9xgnH9No9zlOuRKQx/+jl2Fw+I9X4bI0fUeIutC0fx7bbebrx8mpVvs4M3J3A40nni0Ny1OFqAb/n+3fXeWB00oi3tPjuUJoiZeZiR+2mdezkGiNfjYRniFiOHNFfs/zEvEk5d15i022ccEw8z14yKt3GDsVDXcqUsiwn4sl3l/Y6vdwp8q49hxpKL8gx0gLvk+uMa5OFwBXJcm0i0cPup9JrR2bc5WYCb3M+aHWsJOfwSQ6f3I0Tjql1fXn8hVGhPFanHiKpROo82fSJsdw5p3jtY2BXWRzm6cbr9AJKGtj8LjXFD0oD4tZcm/BL7YHzObco+T22LANLNjjzyFdy4iAVxjU0GKhOWQOFdHfQ3+KL9B4tM+8pnOPdKQwWDSQDyC+8e6+lpxQf8MJ/HYkwjx4ZJyA8YDrb0jewUS0Es6o844RjyoPlckge31Q7IcY40ZEIu7Mj93kZ8xNEjo24iUU/mXN5uHvcINk4RSxC9wmROhQk4bRiI9Anj0tzxui6lLdwfJmlR8sc8PJreOEie8YJx1ScwFQznGdddg6p0D4pCuSDRp0ff1Tvs4Lc8C5nfCZrXbNDEQ9mon3GCcf91L3IPn1degVdkrZNvNVCmz+bc51dStwvYtW0ccIxkf9pSKzcVFRTdOgd1hxWvcMn8v5iJ+nG6wL5RiWRR2IJRFSvf6rHxXnm5rvk1uLcfGl1krh4nrZqYROi4nnPSKonONB3nsqZG8lEP7VAw7D/GVqLqWarTeghvskDC84Djk1odCSoR8SW5dHalDmnI8uZTrDc4LmHYjhvyR97UBqQo8zH8iRrdh3ZckErVIKP/En923yWpYn99CDILx0JeoQNoLE59MnpbKdGJndufHZcml3H7fUO+eFPLjk+w675ZuRqO3dtK2A6IEx1WYdVN84R2JXfr6H0gi7OJpBXI+XD7NeuXkGuNrz2oIcLjqvdtV6SEibOq7Y+3OUp2F4lPGjp6yLGPapnyN04mTGlM0uPoUjBgigOj0gn3CikJrPvrsUTtZa8pts4mTHxDteAFf2/RHkivXGiF5HUejH6Q8bl0kR3OKtuv4yJrKVByvubJOm3ccIxHQZ3bddFBj5R2sj4adzQd2WgPlPK1k0cHrcWfnHWm4Zb3yUt8xyLrLusmvMc6zjhmGqIbnlQAvW0uE8J+hFD4i3t0gI10NI01nAwl4S43ig0dEepU6QFvc3fjVfHo4Pufc9Vic84mTHRm8l+KGwsQZy7JwdvJLlvZ3/XOYw3Sqp2EtsgZgwi9/zHWX50BtTkOzoCikeUSh7od+T/p76zlBbP43LDS1k+dRNjzyyPKfFP+9tdTMEu7jfyWeotMFvWOia5c4qCNtl8UBoQFR1TE5lDUddgxjSfubkn9a3f40KOQ+3GNqd/kdCjZbDHnzXT9hknM+6CN8AC3bE6U0Gwk+4LTCvvhJhvNufqwYjMJC4JwG2ccExlPkH89IEyBYP0ZQjkFAxRu4VcxDzAR6ZAd2bQ6Dn1jwjyCp/Nvy791xs6w80NYyoio9+Yb246wIhh5smq3sVd58kTsUtQx++cOySE/BtnMkljJvotlUzQ3RxU5+eeiWV3p3mxz4M002cdYnPi2c/dONnxQ7bfk/BzzYGybB/ccVNpAyjj/7qucZ42XrmPaVvgBiW5GyczphCcpCMelMbrpP/fwQ3pA+8FPVc8cLxP5lyfkjTxNpsa437cJepSoN+rb4foILw2eeg7g0J98vucSwKP2s4lY2sXaPNCaafRKY8jj4XtkWtmufKxPCEbURdLUnjXFmYy5/JxoXOr+ICeccLxRcXrYib6nUnco1AL0IYmtr2jK+fE8T6bZ/ka8zwdpwC0ccJxP3UvsiPwAGIP6V8nkf/JnKvbnDuMMm197kEy4GbyWgnYnNQ1kZINOVWUu3k6ObOw7Uk5YXxX33LgYVfmfOqlA53ek5Ji/IwTjomsdZeNmB/BXTpIzT6/dOtSxqo0I3jGyYwp7US6NjpqBrXLc0LBKSJYk3TYKLxw/9QHvwtfHteHU0yC1aWMVa0jjWxtaq0pUSdIhiB51mg86vCMlzlBmh6a+0zRPof2SSXt0o+pJnCXJ5OyFLlI3+Tbvk22PLdU3oOMHAj9uOdJ6LsV003ltSCvcx+Dm7jPR+3zVCeyVteOfXnFWGRn0wPSACSeL/X7zM12avUDEesxDySXCHAhiFATcAeBLUpW93Tq5S5XrvqxczX4M052TCXrwu9zl1Pn4ZTDrtyexy6hCjq4H5t+PlAZaozjPG28zJ2MVAHvmLa8jROOKYMnSl4MUDF3FMqe1I1CVzObZ7XLkYfcizX7jJMZl5m8jxL/JfefeP0PSuQodxm7EXuXYu+v63xuB6Wae9mUD3qsvKQEyJzSdnOmwzJ2TCbJtnGWbAeSAVTLKoW8dP4lk2bTuuiDuZTFreG5YcXmJFR8kptv25VnNpCVJ62YqOHofQk7z1Tk0qnHBNaeMs4yoGQR8yiXV4uyEjCfndfUei8ESpql8jHL+sip5ne2png35jeeq+x0zQcKbs2uzyKY8e9zLp3akbII+HD/jJMZExHSJpuM4yROqdigQ1SQQMBJtVPlPMdvZDp0eXm/zOZc1wdzrwknZmaH0oiomLsy8ITIRCTaURZ7VGD/io85l3dWOZoQeZg42DqUBsSewWKVKxeGIKVwpT6V5ZNSn/Axy7J6g6yAk2/zZ5xwzKc8YQGLF3PH1Ljecw7uz8eTeVZvhbbLZ9jxcfenWLf0zvLkPDrk2WLz8Nj34Q0xmWd5oKo9LrPpd/mMIRzfh+kpJHxIu0PO+TuCJEF0cXWMn7/Pv7pagYlyuOjuGScci1knuRZ9R52+005nTcBxvj+ecxBUGzBPZC2fybulyz7jhOPeCO6NY16GZr0cFFw6lfec/ejhsvN047VrcfvH1CO5GyccUyr8JcRhgYgILyFcDnRXX0I8EughvYT1h1kmT+VkowNxGcv/l333lEzlmaxl5L1amHnahBTGvXVKe7/bhAEzkM1xy2fI+0zdwHnsjvqjR79z53F+ijnbU3jRomNC6lOi8wfvNPFDh9VJhw4k5GqmHagDyYK+dQo0VeGaMaWDOmhnKod6XjHHPXYnDZkOx/SC4jQ82LXthHV2LnSZAcyvC27X8YwTjpkfJGj9Xfc49o/R5LvLGi6loM49GzWQ8j981Tt58eqzwpQhUbtlEnllVIKUh8T/fcbVcY9ZTi+uqn/GCcdU9RIlpOPpBRLlqYEum33XzMk8y9cs8RsESaZp42TG3dr7a0J8U3XM1E1BeX3p6fCV+IJaVukJi/qNe+0aSyRDTsw3zmx05znIfcbLrGOiedsl9NHGCcfkiPWSmBXIuPSSCxSoaEetSshG7rOUdZ7dztmN12kXRBmx7VHqlh+UBsS9QbcYlHKHnUTCSlAQf1L5GTfyRJTvubdZerTaMBvVb0ba337cUwPf7BWX1k0dOS4Q3xKdTRBautmca2pPatzDdPTPOOGYrUVxzPibx+IV7yzQqZVK/9T275P5l/Xf7BC4OR25A8kCbvQje+xF7Cv7LnR31850FLemqgQuJBCuwJvZJK74MlsH1icKLvq+JJuxQ8kiDpgSU4AgSimiQLvy9+z7Pwm7E2Ib8dSAZiSiLio0lYAR+ejoXBKf73HFpsxJbMTRV3mElEjtQ7NVEQSRORZtuElGB5IBRDBELQb18ZB+lJJIsrGr75SWQwUdTJosbjNuiHKch0xI7sHjlEIx7sN8SGn9XO7Sa/ZczDxcWnOhITMRshYPWY+2ujnoG0QBLSYaPbrlh9X8RmIkLGh/+/Hm0lfPauvQmm231jbuO7pC8UZf1LFxsYfkvE/mWe1mVBDrd6YIe8bJjA9Kv5fwDXUG9JXqm7w8m3SD27hFtOTpnEw1yW+D2ZxLteopM+OJE06fna3Y2ZAQVYKOwk+n4XgzwfYh6nan2Ims5QuL+dw2apCUAaUBIdMcstAdjE4xSzbiqC7f08xA82qD195c3lrxRnWXR+I7QIYirxNyU4kfeQf44aY6rwJ4X75v8TC4twl7tM7TIiYCH5Xn60HpBdGR6tC9kQyrsnEpPxs1KiP2NK0sBPY0ZFYDv43x6bibkVdE5qMXHtwvzZaF4EylcvpL2PIelEZEJskZ1D94cWJfqGlq9I4su61Smcn3tCBzp6DLqYymHxKWGcRFcjyC4wTiOk44pjSE8mjxU0WtVtnlw0eak7zaTp4waiqoxConccJqH7v3OX9INKMn5pJkzg6lEZGLYqvJfOQnpLRg+UEppFLsPX1zbOSI2/Vtx30knWbKlD1/k9ijvLDJeCQ7UV7YjmreN43RR7rmtN+4N1069FO1mfTVyoCSRZQ1SUS3EjJqSCvRmI9Gyxsbkr9hr665hB/oJ+velke+Tdz3oPgNC+Nu5lXXbi78i5XvKRfnRe/I7dJmYWxLbdrN3eylc+nL/GDK8XTXLY1POpQGxHyPt+YrGmZaYIq9+Da6bqWLobag5KQSEj/TIaZH2EvmQ5fVAYR6s3rqt5K7ccLxQXz/u9dqcd/GzIcuNAieTwa3VJ2T06SMg52nG69MU6K28OQMyt04mTER5wi7eCASYS9syUyS57XlK2Vu+Z2DyIHuH81oD7QFeRfGOZ/xuuyO4vZ3kCbqHUoDImcVtazhH4uKBCn4LQnDO3fSvpWgg7z9zP4lRXhU2lmQkEB/SFiWMCqFfu7Z9Hti/Y5vH9oG9LXPXU00leJ5IRomphwvrtT3uZeZRTVrKGMGEYzpNXvIUZP9Jwd7FCHLaPLd1f3P1tSm/TkekAyQinQJNXjyxhATIbuNepZEZCI8mCXx4r3FUdI1zSbZLJyXLr4md3NHMrFeHcfQNk2cJHpDSpZkORu3dxVK9Lmiy2R7/eFy/xt2w/5X7urX+wYar99bxjwoluo52zMDSgOi9mF+9xqzoJ2x/E38ZTdt+n7Xdo33xcXAmgj3MeeyOI82XM/8ZxlQssgIQQWodMIrUUF5arks/9bSvk0MHqEc/JCwVJVSi8uH5VXaoTQg4gTx+0MOS39TAp2bfI5+FxoFSpzh8p66DM+flCKBm540T9av/Da0T3AohZGLLEFT63iJesowvyJcNrP8+Rr6i/Ef/xWktQplbmRzdHJlYW0KZW5kb2JqCjYgMCBvYmoKODQ5NTUKZW5kb2JqCjcgMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL0Jhc2VGb250IC9IUERGQUErQXJpYWxNVAovU3VidHlwZSAvVHlwZTAKL0VuY29kaW5nIC9JZGVudGl0eS1ICi9Ub1VuaWNvZGUgOCAwIFIKL0Rlc2NlbmRhbnRGb250cyBbIDEwIDAgUiBdCj4+CmVuZG9iago4IDAgb2JqCjw8Ci9MZW5ndGggOSAwIFIKL1R5cGUgL0NNYXAKL0NNYXBOYW1lIC9Nb2Rlcm4tVVRGOC1ICi9DSURTeXN0ZW1JbmZvIDw8Ci9SZWdpc3RyeSAoSGFydSkKL09yZGVyaW5nIChNb2Rlcm4xKQovU3VwcGxlbWVudCAwCj4+Ci9XTW9kZSAwCi9GaWx0ZXIgWyAvRmxhdGVEZWNvZGUgXQo+PgpzdHJlYW0NCnicdVJNb4JAEL2T8B+mBxM9ICCHEmNMWpDIwY+Ibc+4OxgS2SULHPz33Q+QatI9kJ333sy8GXbydsycD8ov6ARzD07Y8E4QdKJdXtvWZBJz0lXI2j0iRTrQzRKOgpMMW5hGaZyysp0pdcrIraM4yP5RfeK1ZKNGtYLpjlMUzPk6J6Gz1bJz2d4k/czANhcdGMgHTwu/UTQlZ0vw556KN4xGvFKuG9ty+87gDl6KklHRd4eL8mJbtuUvgJakHQF9IZVag6mS3ZsWq5QVHAKjpV096AHck7w1rbjDVHmcAcVC4wchzZbsOkzij1TW1fUNlVPwDIiMmovqKRezzysE93kFmtdsP7ka/A96vtcIi0eZH5U91JeDGstEgk2dExQ5u6JtrTx51rBK5FlrH68K2wpM6qV4yYnfZQ6YSKJxaCoZdNOjSTjWlylhEMWRZmSrR0XVVq/8MTvphJD70fvW06k5SoaPP1jzWuf1n/4BDM9Lh4fEtn4BmM7cvQplbmRzdHJlYW0KZW5kb2JqCjkgMCBvYmoKMzc4CmVuZG9iagoxMCAwIG9iago8PAovVHlwZSAvRm9udAovU3VidHlwZSAvQ0lERm9udFR5cGUyCi9EVyA3NTAKL0RXMiBbIDEwMzkgLTEzNjMgXQovVyBbIDMyIFsgMjc3IDI3NyAzNTQgNTU2IDU1NiA4ODkgNjY2IDE5MCAzMzMgMzMzIDM4OSA1ODMgMjc3IDMzMyAyNzcgMjc3IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiAyNzcgMjc3IDU4MyA1ODMgNTgzIDU1NiAxMDE1IDY2NiA2NjYgNzIyIDcyMiA2NjYgNjEwIDc3NyA3MjIgMjc3IDUwMCA2NjYgNTU2IDgzMyA3MjIgNzc3IDY2NiA3NzcgNzIyIDY2NiA2MTAgNzIyIDY2NiA5NDMgNjY2IDY2NiA2MTAgMjc3IDI3NyAyNzcgNDY5IDU1NiAzMzMgNTU2IDU1NiA1MDAgNTU2IDU1NiAyNzcgNTU2IDU1NiAyMjIgMjIyIDUwMCAyMjIgODMzIDU1NiA1NTYgNTU2IDU1NiAzMzMgNTAwIDI3NyA1NTYgNTAwIDcyMiA1MDAgNTAwIDUwMCAzMzMgMjU5IDMzMyA1ODMgXSAxNjAgWyAyNzcgMzMzIDU1NiA1NTYgNTU2IDU1NiAyNTkgNTU2IDMzMyA3MzYgMzcwIDU1NiA1ODMgMzMzIDczNiA1NTIgMzk5IDU0OCAzMzMgMzMzIDMzMyA1NzYgNTM3IDMzMyAzMzMgMzMzIDM2NSA1NTYgODMzIDgzMyA4MzMgNjEwIDY2NiA2NjYgNjY2IDY2NiA2NjYgNjY2IDEwMDAgNzIyIDY2NiA2NjYgNjY2IDY2NiAyNzcgMjc3IDI3NyAyNzcgNzIyIDcyMiA3NzcgNzc3IDc3NyA3NzcgNzc3IDU4MyA3NzcgNzIyIDcyMiA3MjIgNzIyIDY2NiA2NjYgNjEwIDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDg4OSA1MDAgNTU2IDU1NiA1NTYgNTU2IDI3NyAyNzcgMjc3IDI3NyA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTQ4IDYxMCA1NTYgNTU2IDU1NiA1NTYgNTAwIDU1NiA1MDAgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNzIyIDUwMCA3MjIgNTAwIDcyMiA1MDAgNzIyIDUwMCA3MjIgNjE0IDcyMiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDc3NyA1NTYgNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNzIyIDU1NiA3MjIgNTU2IDI3NyAyNzcgMjc3IDI3NyAyNzcgMjc3IDI3NyAyMjIgMjc3IDI3NyA3MzQgNDQzIDUwMCAyMjIgNjY2IDUwMCA1MDAgNTU2IDIyMiA1NTYgMjIyIDU1NiAyOTEgNTU2IDMzMyA1NTYgMjIyIDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDYwNCA3MjMgNTU2IDc3NyA1NTYgNzc3IDU1NiA3NzcgNTU2IDEwMDAgOTQzIDcyMiAzMzMgNzIyIDMzMyA3MjIgMzMzIDY2NiA1MDAgNjY2IDUwMCA2NjYgNTAwIDY2NiA1MDAgNjEwIDI3NyA2MTAgMzc1IDYxMCAyNzcgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgOTQzIDcyMiA2NjYgNTAwIDY2NiA2MTAgNTAwIDYxMCA1MDAgNjEwIDUwMCAyMjIgNTU2IDc1OCA2NTYgNTU2IDY1NiA1NTYgNzIyIDcyMiA1MDAgNzIyIDgwOSA2NTYgNTU2IDU1NiA2NjYgNzUyIDYwNCA2MTAgNTU2IDc3NyA2MjQgODgwIDIyMiAyNzcgNjY2IDUwMCAyMjIgNTAwIDg5MCA3MjIgNTU2IDc3NyA4NTcgNjU1IDg2OCA2NjcgNzU0IDU1NiA2NjYgNjY2IDUwMCA2MTggMzgwIDI3NyA2MTAgMjc3IDYxMCA4NTQgNjY5IDc0NyA3MjIgNzcyIDUwMCA2MTAgNTAwIDYxMCA2MTAgNTQ0IDU0NCA1NTYgNTU2IDQ1OCA0ODYgNTU2IDI1OSA0MTMgNTgzIDI3NyAxMzMzIDEyMjIgMTA0OCAxMDYyIDgzMyA0NTEgMTIyMiA5NDQgNzcwIDY2NiA1NTYgMjc3IDIyMiA3NzcgNTU2IDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDEwMDAgODg5IDc3NyA1NTYgNzc3IDU1NiA2NjYgNTAwIDc3NyA1NTYgNzc3IDU1NiA2MTAgNTQ0IDIyMiAxMzMzIDEyMjIgMTA0OCA3NzcgNTU2IDEwMzQgNjE4IDcyMiA1NTYgNjY2IDU1NiAxMDAwIDg4OSA3NzcgNjEwIDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgMjc3IDI3NyAyNzcgMjc3IDc3NyA1NTYgNzc3IDU1NiA3MjIgMzMzIDcyMiAzMzMgNzIyIDU1NiA3MjIgNTU2IDY2NiA1MDAgNjEwIDI3NyA1NDQgNDM2IDcyMiA1NTYgNzA2IDY4MSA2MDQgNTY1IDYxMCA1MDAgNjY2IDU1NiA2NjYgNTU2IDc3NyA1NTYgNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNjY2IDUwMCAzNDkgNjg0IDM2NyAyMjIgODg2IDg4NiA2NjYgNzIyIDUwMCA1NTYgNjEwIDUwMCA1MDAgNTgwIDQ1MyA2NjYgNzIyIDY2NyA2NjYgNTU2IDUwMCAyMjIgNzM3IDU1NiA3MjIgMzMzIDY2NiA1MDAgNTU2IDU1NiA1NTYgNTU2IDUwMCA1MDAgNTU2IDU1NiA1NTYgNTU2IDczOCA0NTggNDU4IDYzMSA1MDcgMjc3IDU1NiA1NTYgNTU4IDUwMCA2MTYgNTU2IDU1NiA1NTYgMjIyIDIyMiAzNTUgMzI3IDMwMyAyMjIgNTcxIDgzMyA4MzMgODMzIDU1NiA1NTYgNTUyIDU1NiA3OTAgNzgwIDU0OSAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgNTQxIDU0MSA1MDAgMjIyIDI1OSAyMjIgMzQ5IDI3NyAyNzcgNTU2IDU2OCA1NDYgNTAwIDcyMiA1MDAgNTE5IDUwMCA1NDEgNTQ0IDU0NCA1MDAgNTAwIDUwMCA1MDAgNzc3IDUzMSA1MDcgNTU4IDU1MiAzOTcgNTAwIDQwMyA1NTYgNTAwIDUwMCA5NjQgOTA2IDEwMDUgNzEyIDQyOSA3MTggNzYzIDY2MSA2MzIgNDg1IDUyNyA2ODcgNjg3IDM4MyAzODMgMTU5IDIzOSAyMzkgMjM5IDM2NCA0ODAgMzIwIDE5MCAzNTQgMjIyIDIyMiAyMjIgMzMzIDMzMyAzNDggMzQ4IDU4MyA1ODMgNTgzIDU4MyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMjc3IDI3NyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMyMiAxNTcgMzM5IDMyOCAzNDggMzgyIDM4MiAzODIgMzgyIDM4MiAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDI3NyAzMzMgMzMzIDMzMyAzMzMgMzk3IDM5NyAzMzMgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCA1NzcgNDc1IDYxMCA0NTggMzMzIDMzMyA3MTggNTgzIF0gODkwIFsgMzMzIDUwMCA1MDAgNTAwIDI3NyA1MDAgXSA5MDAgWyAzMzMgMzMzIDY2NyAyNzcgNzg0IDgzNyAzODMgXSA5MDggWyA3NzQgXSA5MTAgWyA4NTUgNzUyIDIyMiA2NjYgNjY2IDU1MCA2NjcgNjY2IDYxMCA3MjIgNzc3IDI3NyA2NjYgNjY3IDgzMyA3MjIgNjQ5IDc3NyA3MjIgNjY2IF0gOTMxIFsgNjE4IDYxMCA2NjYgNzk3IDY2NiA4MzUgNzQ3IDI3NyA2NjYgNTc4IDQ0NSA1NTYgMjIyIDU0NiA1NzggNTc1IDUwMCA1NTYgNDQ1IDQ0MCA1NTYgNTU2IDIyMiA1MDAgNTAwIDU3NiA1MDAgNDQ3IDU1NiA2ODkgNTY4IDQ4MSA2MTcgMzk1IDU0NiA2NDggNTI0IDcxMiA3ODAgMjIyIDU0NiA1NTYgNTQ2IDc4MCA2NjYgNTc1IDU0NiA3NzIgOTU4IDc3MiA1NjAgNzgwIDYwMSA3NzcgNTU2IDcyMiA1MDAgNjEwIDQwMyA2MjQgNTI5IDc1NiA1NzYgODkwIDgzMyA2NzQgNTU2IDY3MyA1MDAgNjY2IDY2NiA2MDkgNTk2IDczNiA1NTMgNDYzIDQwOSA2MDEgNTcyIDUwMCAyMjIgNzc3IDQ0MSA0NDEgNjY2IDU1NiA3MjIgODMzIDY4NyA1NjggNzIyIDcyMiA3MjIgNjY2IDY2NyA4NjQgNTQxIDcxOCA2NjYgMjc3IDI3NyA1MDAgMTA1NyAxMDEwIDg1NCA1ODIgNzE4IDYzNSA3MTggNjY2IDY1NiA2NjYgNTQxIDY3NyA2NjYgOTIzIDYwNCA3MTggNzE4IDU4MiA2NTYgODMzIDcyMiA3NzcgNzE4IDY2NiA3MjIgNjEwIDYzNSA3NjAgNjY2IDczOSA2NjYgOTE2IDkzNyA3OTEgODg1IDY1NiA3MTggMTAxMCA3MjIgNTU2IDU3MiA1MzEgMzY0IDU4MyA1NTYgNjY4IDQ1OCA1NTggNTU4IDQzNyA1ODMgNjg3IDU1MiA1NTYgNTQxIDU1NiA1MDAgNDU4IDUwMCA4MjIgNTAwIDU3MiA1MjAgODAyIDgyMiA2MjUgNzE4IDUyMCA1MTAgXSAxMTAzIFsgNTQxIDU1NiA1NTYgNTU2IDM2NCA1MTAgNTAwIDIyMiAyNzcgMjIyIDkwNiA4MTIgNTU2IDQzNyA1NTggNTAwIDU1MiAxMzM3IDYyNCA3NzcgNjEyIDk0OSA3MTMgNjY3IDUwMCA4OTcgNjk1IDgyOCA2ODUgMTA1MyA4NjcgNjA0IDQ1OCA3OTYgNjg4IDc3NyA1NTYgODAzIDYzMCA4MDMgNjMwIDEwNzQgODk2IDgzMyA2MTIgMTE5MCA4NTEgMTMzNyA2MjQgNzIyIDUwMCA1MDMgMCAwIDAgMCAwIDAgMCA3MTggNTU4IDY1NiA1MjAgNjY2IDU1NiA0ODggNDExIDU0MSAzNjQgNjcwIDU0OCA5MjMgNjY4IDYwNCA0NTggNTgyIDQzNyA1ODIgNDM3IDU4MiA0MzcgNzQxIDUzNSA3MjIgNTUyIDg3OSA2NDcgMTEzNiA4NzAgNzUyIDUyMCA3MjIgNTAwIDYxMCA0NTggNTU2IDUwMCA1NTYgNTAwIDY2NiA1MDAgOTI1IDY5MCA2NjYgNTIwIDY2NiA1MjAgNjY2IDU1NiA4NjEgNjY2IDg2MSA2NjYgMjc3IDkyMyA2NjggNjY3IDU1MCA2NTYgNTgzIDcyMiA1NTIgNzIyIDU1MiA2NjYgNTIwIDgzMyA2ODcgMjIyIDY2NiA1NTYgNjY2IDU1NiAxMDAwIDg4OSA2NjYgNTU2IDc1MiA1NTYgNzUyIDU1NiA5MjMgNjY4IDYwNCA0NTggNjA0IDU0NCA3MTggNTU4IDcxOCA1NTggNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNzE4IDUxMCA2MzUgNTAwIDYzNSA1MDAgNjM1IDUwMCA2NjYgNTIwIDU0MSAzNjQgODg1IDcxOCA1NDEgMzY0IDY2NiA1MDAgNjY2IDUwMCA2NTYgNTU2IDk2OCA4NzYgOTU2IDgxNSA2NjIgNTA5IDk3MCA5MDkgMTAzNCA4NzggNzc3IDU1OCA3NDYgNjY1IDYwNCA0NTggNjU2IDU4MyA5NTkgNzYwIDc4OCA3MTcgOTU3IDg1NiA3NzcgNTU2IDk0MyA3MjIgNjY2IDUwMCAxMDY4IDg4NCAxMTMxIDg1MCA3MjIgNTQxIDcwNCA1NTQgNzIyIDU1MiAxMzI5IDEwNjkgNjY2IDU2NCA2NTYgNTgzIF0gMTMyOSBbIDczOSA3MjQgNzE1IDcxNyA3MjQgNzA4IDU5NyA3MjMgODA2IDcxNSA2NTggNTI3IDkyNCA3NjYgNjk1IDYxNSA3MDYgNzE3IDcwMCA3NTQgNzE2IDcwOCA2OTkgNzI0IDY5OSA3OTIgNzM4IDc2NCA3MjQgNjk4IDY1OSA2NzggNjc3IDUxNSA3NjEgNjg2IDc4MiA3NjIgXSAxMzY5IFsgMjczIDIyMiAxNjkgMjAwIDI2NSAyMzEgNTEzIF0gMTM3NyBbIDgzMiA1NTAgNTc5IDU4MiA1NTMgNTUwIDQ5MSA1NTAgNjY3IDU3OSA1NTAgMjE5IDgzNCA1NDIgNTUzIDU1MCA1MjIgNTUzIDU1OCA1NTAgMjE5IDU1MyA0NTYgNTUwIDM0NiA4MzIgNTE3IDU2MyA1NTAgNTUwIDgzMSA1NTAgNTU1IDM5NCA4MzEgNTUwIDU1NCA3NDMgNzEyIF0gMTQxNyBbIDI3NyAzMjQgXSAxNDIxIFsgMTAwMCAxMDAwIDcyNiBdIDE0MjUgWyAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAzODIgMCAyNzQgMCAwIDI3NyAwIDAgMzUyIDAgXSAxNDg4IFsgNTYyIDU0MSAzOTggNTA4IDYwMiAyNDYgMzgyIDU5OCA1ODkgMjQ2IDUwOSA0NjAgNDYyIDU5OCA2MDEgMjQ2IDM1MiA1NzQgNTI5IDU2NiA1NDYgNDYxIDQ3OCA1NDkgNTA5IDY5NCA2NDIgXSAxNTIwIFsgNDkzIDQ5MyA0OTMgMjM1IDQxNiBdIDE1MzYgWyA5MzYgMTI5OSA0MzggMTI3MiAxMjk5IDAgNjE1IDYxNSA3NTUgNjA0IDczNSAyNjIgMzE4IDIzOCA2NTYgNTQzIDAgMCAwIDAgMCAyNjkgMCAwIDAgMCAwIDMxOCAxMDAwIF0gMTU2NiBbIDI4OSAzNTYgNjM4IDQxMiAyMDcgMjA3IDQzMiAyMDcgNjM4IDIwNyA3MTMgMjgyIDcxMyA3MTMgNTYyIDU2MiA1NjIgMzM3IDMzNyA0ODggNDg4IDgyMSA4MjEgMTA5OCAxMDk4IDU4MSA1ODEgNTQzIDU0MyA4MTIgODEyIDYzOCA2MzggNjM4IDIwNyA3ODggNTgxIDYwMSA1MDYgMzM3IDUyNSAyODIgNDMyIDYzOCA2MzggMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSAzMTggMzE4IDUyNSA3MTMgNTgxIDAgMjA3IDIwNyAyMDcgMCAyMDcgNDMyIDQzMiA2MzggNzEzIDcxMyA3MTMgNzEzIDcxMyA3MTMgNzEzIDcxMyA1NjIgNTYyIDU2MiA1NjIgNTYyIDU2MiA1NjIgMzM3IDMzNyAzMzcgMzM3IDMzNyAzMzcgMzM3IDMzNyAzMzcgNDg4IDQ4OCA0ODggNDg4IDQ4OCA0ODggNDg4IDQ4OCA0ODggODIxIDgyMSA4MjEgMTA5OCAxMDk4IDU4MSA1NDMgNzg4IDc4OCA3ODggNzg4IDc4OCA3ODggNTgxIDU4MSA4MTIgMTE1NSA4MTIgNjAxIDYwMSA2MDEgODEyIDgxMiA4MTIgODEyIDgxMiA4MTIgNTA2IDUwNiA1MDYgNTA2IDUyNSA1MjUgNTI1IDUyNSA1MjUgNDUwIDU2MiAyODIgMzg3IDM4NyAzODcgNDMyIDQzMiA0MzIgNDMyIDQzMiA0MzIgNDMyIDQzMiA2MzggNjM4IDYzOCA0MzIgNjM4IDYzOCA4MTIgODEyIDIwNyAyODIgMCAwIDAgMCAwIDAgMCAxMTIzIDEwODQgMCAwIDAgMCAwIDAgMTkzIDM3MCAwIDAgNjAwIDAgMCAwIDAgMzM3IDQ4OCA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgODIxIDEwOTggNTQzIDQxMiAzMzcgNDUwIF0gMTg3MiBbIDcxMyA3MTMgNzEzIDcxMyA3MTMgNzEzIDcxMyA1NjIgNTYyIDMzNyAzMzcgNDg4IDgyMSA1NDMgNTQzIDU0MyA3ODggNzg4IDgxMiA4MTIgODEyIDMzNyAzMzcgNTI1IDUyNSA1MjUgNTA2IDQ4OCA0ODggODIxIDU2MiA1NjIgODIxIDQ4OCA1NjIgMjA3IDIwNyA2MzggNjM4IDYzOCA0MzIgNDMyIDgxMiA4MTIgNTYyIDgyMSA4MjEgNjAxIF0gMjIwOCBbIDcxMyA3MTMgNTYyIDU4MSA3ODggNTgxIDUwNiAzMzcgNjM4IDYzOCA0NjQgNDMyIDQyNyAxNzAgMzM3IDEwOTggODEyIDI4MiA0ODggNTQzIDYwMSBdIDIyMzAgWyA3MTMgNzEzIDcxMyA0ODggNjM4IDc4OCA1ODEgNTI1IF0gMjI2MCBbIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCA0ODMgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIF0gNzQyNCBbIDQ5NiA3NDcgODg5IDUzMSA1MDAgNTUxIDU1MSA0ODkgNDU4IDIyMiA0MjIgNTAwIDQwMSA2ODcgNTU4IDU1NiA1MDAgNjA4IDYwOCA2MDggOTQzIDQ1NyA1NTYgNTU2IDUyMCA1NDEgNTQxIDQ1OCA1NDYgNTk2IDczMyA1OTYgNTAwIDcyMiA1MDAgNDU4IDQyNyA2MDYgMzY0IDUwMCA1NDEgNTIwIDcxMiA1ODMgNDUzIDY2MyA0MTQgNDE0IDQ0OSA0MTAgNDEwIDQ5NiA0MjggMTY2IDMxNCA0MjQgMzUxIDUxMCA0MzAgNDI5IDUxMSAzODIgNDE4IDQ1MSA0MzIgNDI5IDYyMiAzNzIgMzcyIDM3NiA1OTkgMzc3IDM3NyAzNzEgMzcxIDMxOCAzMTggMzc2IDE1NyAzMzggNTcyIDM4MiAzNzcgMzU0IDM3NyAzNzcgMzc3IDIxOSAzODIgNDA3IDU3MiAzMjEgMzkwIDM4NSAzMjEgMzc3IDQzOSAzNDMgMTU3IDIzOSAzODIgMzIxIDM4NSAzMjEgMzc5IDQzOSAzNDMgOTA4IDU1NiA1NTYgMjc3IDgzMyA1NTYgNTU2IDMzMyAzMzMgNTAwIDI3NyA1MDAgNTU2IDM4MCA1NTYgNzg1IDIyMiAyMjIgNTU2IDU0NiA1NjggNTU2IDU1NiAyNzcgNzEyIDUwMCAyMjIgODMzIDU1NiA1NTYgMzMzIDUwMCAzODYgNTAwIDUwMCA1MDAgNTU2IDU1NiA1NTYgNTU2IDQ1OCA0NTggNjUwIDIyMiA1MDAgMjIyIDU1NiA1NDQgMzc2IDM1NCAzNDggMzczIDMxOCAyMjkgMjI5IDM3NiAzODMgMTU3IDE1NyAxNTcgMTU3IDI3MCAxNTcgMTU3IDI3NCA1NzEgNTcxIDM4MiAzODIgMzgxIDM3NyAzNzUgMzM5IDE1NyAyMTkgMzgyIDM4NyAzNzcgMzUzIDMyMSAzNTggMzU4IDM1OCAzNjkgMzY0IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCBdIDc2NzggWyAwIDAgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA3MjIgNTAwIDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjEwIDI3NyA3NzcgNTU2IDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiAyNzcgMjIyIDI3NyAyNzcgNjY2IDUwMCA2NjYgNTAwIDY2NiA1MDAgNTU2IDIyMiA1NTYgMjIyIDU1NiAyMjIgNTU2IDIyMiA4MzMgODMzIDgzMyA4MzMgODMzIDgzMyA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDc3NyA1NTYgNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNjY2IDU1NiA2NjYgNTU2IDcyMiAzMzMgNzIyIDMzMyA3MjIgMzMzIDcyMiAzMzMgNjY2IDUwMCA2NjYgNTAwIDY2NiA1MDAgNjY2IDUwMCA2NjYgNTAwIDYxMCAyNzcgNjEwIDI3NyA2MTAgMjc3IDYxMCAyNzcgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDY2NiA1MDAgNjY2IDUwMCA5NDMgNzIyIDk0MyA3MjIgOTQzIDcyMiA5NDMgNzIyIDk0MyA3MjIgNjY2IDUwMCA2NjYgNTAwIDY2NiA1MDAgNjEwIDUwMCA2MTAgNTAwIDYxMCA1MDAgNTU2IDI3NyA3MjIgNTAwIDU1NiAyMjIgMjc3IDI3NyA3MDIgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiAyNzcgMjIyIDI3NyAyMjIgNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNzc3IDU1NiA4NTcgNjU1IDg1NyA2NTUgODU3IDY1NSA4NTcgNjU1IDg1NyA2NTUgNzIyIDU1NiA3MjIgNTU2IDg1NCA2NjkgODU0IDY2OSA4NTQgNjY5IDg1NCA2NjkgODU0IDY2OSA2NjYgNTAwIDY2NiA1MDAgNjY2IDUwMCA2NjYgNTAwIDc2NiAzOTcgNTkwIDU1NiA2NjggNTc1IDU3OCA1NzggNTc4IDU3OCA1NzggNTc4IDU3OCA1NzggNjY2IDY2NiA4MTMgODEzIDgxMyA4MTMgODEzIDgxMyA0NDUgNDQ1IDQ0NSA0NDUgNDQ1IDQ0NSBdIDc5NjAgWyA3NjQgNzY0IDkyNyA5MjcgOTI3IDkyNyBdIDc5NjggWyA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDgxOSA4MTkgMTAxNSAxMDE1IDEwMTUgMTAxNSAxMDE1IDEwMTUgMjIyIDIyMiAyMjIgMjIyIDIyMiAyMjIgMjIyIDIyMiAzNzUgMzc1IDU3MCA1NzAgNTcwIDU3MCA1NzAgNTcwIDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IF0gODAwOCBbIDgyNiA4MjYgMTAyMSAxMDIxIDk3MyA5NzMgXSA4MDE2IFsgNTQ2IDU0NiA1NDYgNTQ2IDU0NiA1NDYgNTQ2IDU0NiBdIDgwMjUgWyA4MTMgXSA4MDI3IFsgOTU5IF0gODAyOSBbIDEwMDggXSA4MDMxIFsgOTU5IDc4MCA3ODAgNzgwIDc4MCA3ODAgNzgwIDc4MCA3ODAgNzk2IDc5NiA5OTEgOTkxIDk0MiA5NDIgOTQyIDk0MiA1NzggNTc4IDQ0NSA0NDUgNTU2IDU1NiAyMjIgMjIyIDU1NiA1NTYgNTQ2IDU0NiA3ODAgNzgwIF0gODA2NCBbIDU3OCA1NzggNTc4IDU3OCA1NzggNTc4IDU3OCA1NzggNjY2IDY2NiA4MTMgODEzIDgxMyA4MTMgODEzIDgxMyA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDgxOSA4MTkgMTAxNSAxMDE1IDEwMTUgMTAxNSAxMDE1IDEwMTUgNzgwIDc4MCA3ODAgNzgwIDc4MCA3ODAgNzgwIDc4MCA3OTYgNzk2IDk5MSA5OTEgOTQyIDk0MiA5NDIgOTQyIDU3OCA1NzggNTc4IDU3OCA1NzggXSA4MTE4IFsgNTc4IDU3OCA2NjYgNjY2IDY2NiA2NjYgNjY2IDMzMyAzMzMgMzMzIDMzMyAzMzMgNTU2IDU1NiA1NTYgXSA4MTM0IFsgNTU2IDU1NiA4MTMgODEzIDg2OCA4NjggNzIyIDMzMyAzMzMgMzMzIDIyMiAyMjIgMjIyIDIyMiBdIDgxNTAgWyAyMjIgMjIyIDI3NyAyNzcgNDI0IDQyNCBdIDgxNTcgWyAzMzMgMzMzIDMzMyA1NDYgNTQ2IDU0NiA1NDYgNTY4IDU2OCA1NDYgNTQ2IDY2NiA2NjYgODYyIDg4NiA3NjQgMzMzIDMzMyAzMzMgXSA4MTc4IFsgNzgwIDc4MCA3ODAgXSA4MTgyIFsgNzgwIDc4MCA5MjQgODI2IDg5NCA3OTYgNzQ3IDMzMyAzMzMgXSA4MTkyIFsgNTAwIDEwMDAgNTAwIDEwMDAgMzMzIDI1MCAxNjYgNTU2IDI3NyAyMDAgODMgMCAwIDAgMCAwIF0gODIxMCBbIDU1NiA1NTYgMTAwMCAxMDAwIDQxMyA1NTIgMjIyIDIyMiAyMjIgMjIyIDMzMyAzMzMgMzMzIDMzMyA1NTYgNTU2IDM1MCBdIDgyMzAgWyAxMDAwIF0gODIzNCBbIDAgMCAwIDAgMCAyMDAgMTAwMCBdIDgyNDIgWyAxODcgMzU0IDM1NCBdIDgyNDkgWyAzMzMgMzMzIF0gODI1MiBbIDUwMCA1NTYgMzMzIF0gODI2MCBbIDE2NiBdIDgyODYgWyAyNzcgXSA4Mjk4IFsgMCAwIDAgMCAwIDAgMzMzIF0gODMwOCBbIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIF0gODMxOSBbIDM2NCBdIDgzMzYgWyAzNzIgMzcxIDM3NyAzMjggMzcxIF0gODM1MiBbIDU1NiA3MjIgNzIyIDU1NiA1NTYgODMzIDcyMiAxMDkzIDExNjQgOTQzIDgxNSA1MTMgNTU2IDY2NiA2MTAgMTAwMCA1MjAgNjY2IDc3NyA2NjYgNTU2IDcyMiA1NTYgNjY2IDYxMCA1NTYgNTU2IDgyOSA3ODYgNTU2IDc5NCA2NjYgXSA4NDMyIFsgMCBdIDg0NTMgWyA4ODUgXSA4NDY3IFsgMzIzIF0gODQ3MCBbIDEwNzIgNzM2IF0gODQ4MiBbIDEwMDAgXSA4NDg2IFsgNzY4IF0gODQ5NCBbIDYwMCBdIDg1MjUgWyA5NDIgNDg5IF0gODUzMSBbIDgzMyA4MzMgXSA4NTM5IFsgODMzIDgzMyA4MzMgODMzIF0gODU4MCBbIDUwMCBdIDg1OTIgWyAxMDAwIDUwMCAxMDAwIDUwMCAxMDAwIDUwMCBdIDg2MTYgWyA1MDAgXSA4NzA2IFsgNDk0IF0gODcxMCBbIDYxMSBdIDg3MTkgWyA4MjMgXSA4NzIxIFsgNzEyIDU4MyBdIDg3MjUgWyAxNjYgXSA4NzI5IFsgMjc3IDU0OCBdIDg3MzQgWyA3MTIgOTc5IF0gODc0NSBbIDcxOCBdIDg3NDcgWyAyNzMgXSA4Nzc2IFsgNTQ4IF0gODgwMCBbIDU0OCA1ODMgXSA4ODA0IFsgNTQ4IDU0OCBdIDg5NjIgWyA2MDQgXSA4OTc2IFsgNTgzIF0gODk5MiBbIDYwNCA2MDQgXSA5NDcyIFsgNzA4IF0gOTQ3NCBbIDYyNSBdIDk0ODQgWyA3MDggXSA5NDg4IFsgNzA4IF0gOTQ5MiBbIDcwOCBdIDk0OTYgWyA3MDggXSA5NTAwIFsgNzA4IF0gOTUwOCBbIDcwOCBdIDk1MTYgWyA3MDggXSA5NTI0IFsgNzA4IF0gOTUzMiBbIDcwOCBdIDk1NTIgWyA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IF0gOTYwMCBbIDcwOCBdIDk2MDQgWyA3MDggXSA5NjA4IFsgNzA4IF0gOTYxMiBbIDcwOCBdIDk2MTYgWyA3MDggNzA4IDcwOCA3MjkgXSA5NjMyIFsgNjA0IDYwNCBdIDk2NDIgWyAzNTQgMzU0IDEwMDAgXSA5NjUwIFsgOTg5IF0gOTY1OCBbIDk4OSBdIDk2NjAgWyA5ODkgXSA5NjY4IFsgOTg5IF0gOTY3NCBbIDQ5NCA2MDQgNTk0IF0gOTY3OSBbIDYwNCBdIDk2ODggWyA2MDQgNjA0IF0gOTcwMiBbIDM1NCBdIDk3ODYgWyAxMDIwIDEwNTIgOTE2IF0gOTgyNCBbIDUzMSBdIDk4MjcgWyA2NTYgXSA5ODI5IFsgNTkzIDUxMCBdIDk4MzQgWyA1MDAgXSA5ODM5IFsgNTAwIF0gMTEzNjAgWyA1NTYgMjIyIDU1NiA2NjYgNzIyIDU1NiAyNzcgNzIyIDU1NiA2NjYgNTAwIDYxMCA1MDAgNzMyIDgzMyA2NjYgNzMyIDU5NiAxMDM3IDg0MCA1MDAgNTc3IDQyNSA2NDggNjk1IDMzMyA1NTYgNDg5IDE1OSAzMjEgNjY2IDYxMCBdIDExNzk5IFsgMzMzIF0gNDI3NzUgWyAwIDAgMCAwIDUwMCA1MDAgMjc3IDI3NyAyNzcgMCAwIDI3NyAyMDggMjc3IDIwOCA3MjIgNTU2IDgyOSA2MjcgNTUyIDU1MiA1MTYgNTE2IDU4NiA1ODYgNTAzIDU1MyAxMTU1IDkxMiAxMTg3IDkxOCAxMDIwIDg5MCA5NjIgNzM0IDk2MiA3MzQgOTYyIDczNCA3MjIgNTAwIDY2NiA1MDAgNjY2IDUwMCA2NjYgNTAwIDY1MCAzMTAgNTU2IDIyMiA4MDIgNjEwIDg3NyA2NTEgMTM2NCA5NTEgNjY2IDU1NiA4MjggNzAwIDkzMyA4MDkgNzc3IDU1NiA5NzkgNzQ3IDU4MSA0MTAgNTgxIDU4MSA2NjYgNTAwIDk0MyA3MjIgNTQ4IDQ5MyA2NjYgNTU2IDY2NiA1NTYgNTA5IDQwOCA0NDUgNDQ1IDUwMSA1MDEgNTYxIDU2MSAzMjYgNjc2IDM0NCA5NjEgNjgwIDMzMyBdIDQyODcxIFsgNjcyIDQ3NSA3NzcgNTU2IDQwNCAzMzMgNTg5IDU4OSA1NzcgNTU2IDIyMiA3OTkgNTk4IDQwNCAzMzMgNjQzIDUwMCAzMzMgMjc3IDQzNyAxOTAgMTkwIDcyMiA0NDQgMzMzIDc2NyA2MDEgNzIyIDUwMCA1MDAgNTU2IDgwMCA2ODQgNjUzIDI3NyA2NjggNTI0IDcxNCA1NDggNjY4IDUyNCA3NzcgNTU2IDY2NiA1MDAgNzIyIDU1NiA3MjIgMzMzIDY2NiA1MDAgODA2IDYwNCA3MzIgNjg0IDYxMCBdIDQyOTI4IFsgNjY2IDYxMCA1MjMgNzM1IDY2NiA1NzUgMTAwMiA3ODAgXSA0Mjk5OSBbIDc2OSA0NDggNjM5IDgzMyA2MTAgNjY2IDgzMyAyNzcgMTE4NSBdIDQzODI0IFsgNTc4IDkwMCA0NzggNTU2IDY2NiAyNzcgNTU2IDM2OCAzNDYgMjQyIDg1MSA1NjkgNTU2IDU0NyA1NDcgNjEwIDk0MyA5NDMgOTQzIDk1MSA5NTEgNTQ5IDYwNiAzMzMgNTAyIDQ1NyA2MjcgNDc0IDY5OSAyMjIgNTU2IDU1NiA4MzMgODMzIDYxMiA1MjQgNjEzIDU5MyA2MDQgNTAwIDYwNCA1MDAgNTAwIDMzMyAzODMgMjczIDI0NyA0MTUgNzIwIDc2NSA5NDMgOTE4IDU1NiA2NDggXSA2MDE2MSBbIDAgXSA2MjIwOCBbIDUzNCA1MDAgNTAwIDc1MiA3NTIgNTM2IDc0MyBdIDYyMjI3IFsgMTEwNCAxMTA0IDExMDEgMTEwNCAxMzg1IF0gNjIyMzcgWyAyNDYgMCA0OTMgNTM1IDcwOSA2NTQgNzQ4IDYwNyA2MDkgNzQ1IDY1NSA3ODkgNTgzIDY5NCA2OTQgNjk0IDY5NCA1NjIgNTYyIDU2MiA1NDEgMzk4IDUwOCA2MDIgMjg2IDQxMSBdIDYyMjY0IFsgNTg5IDI4NiA1MDkgNDYwIDQ2MiBdIDYyMjcwIFsgNjAxIF0gNjIyNzIgWyAzNTIgNTc0IF0gNjIyNzUgWyA1NjYgNTQ2IF0gNjIyNzggWyA0NzggNTQ5IDUwOSA2OTQgNjQyIDI0NiA1NDEgNDYwIDU0NiA1NzUgMjA3IDIyOSA3MTMgNzEzIDI0NCAyNDQgNzEzIDcxMyAyNDQgMjQ0IDcxMyA3MTMgMjQ0IDI0NCA3MTMgNzEzIDI0NCAyNDQgNzEzIDcxMyAyNDQgMjQ0IDcxMyA3MTMgMjQ0IDI0NCA3ODggNzg4IDI2NyAyNjIgNzg4IDc4OCAyNjcgMjYyIDU2MiA1MjUgNTI5IDUyOSA1NjIgNTI1IDUyOSA1MjkgNTYyIDUyNSA1MjkgNTI5IDU2MiA1MjUgNTI5IDUyOSAzMzcgMzM3IDMzNyAzMzcgMzM3IDMzNyAzMzcgMzM3IDQ4OCA0ODggNDg4IDQ4OCA4MTIgOTMyIDM5NCA1MTQgODEyIDkzMiAzOTQgNTE0IDgxMiA5MzIgMzk0IDUxNCA4MTIgOTMyIDM5NCA1MTQgNTI1IDUyNSA1MjUgNTI1IDI0NCAyNDQgMjgyIDM3NSAyODIgMzg3IDI0NCAzMjAgNDUwIDM3NSA0NTAgMzk0IDgxMiA4MTIgODEyIDgxMiAyNDQgMjQ0IDI0NCAyNDQgMjQ0IDI0NCAyNDQgMjQ0IDI0NCAyNDQgMjcyIDI0NCAyNDQgMTk5IDM0MyAzNDMgXSA2MjQxOSBbIDYwMSA2MDEgMzk0IDM5NCA0MzIgNDMyIDQzMiA0MzIgNDMyIDQzMiA0MzIgNDMyIDQzMiA0MzIgNDMyIDQzMiA0MzIgNjM4IDU4OCAyNDQgMjQ0IDI0NCAyNDQgMzY0IDM2NCA1MTkgNTE5IDYzOCA2MzggNjM4IDYzOCA2MzggNjM4IDYzOCA2MzggNTYyIDU2MiA0ODYgNTYyIDU2MiA0ODYgNjM4IDU4OCAyNDQgMjQ0IF0gNjI1NTggWyAwIDAgMCAwIDAgMCBdIDYyNzA2IFsgMjA3IDIwNyAyMDcgXSA2Mjc4MCBbIDIyOSAyMDcgMzE4IDMxOCBdIDYyOTYyIFsgNzkyIF0gNjI5NjQgWyA5MTkgXSA2Mjk3MCBbIDczMSA2MzQgMTIyMSAxNDY0IF0gNjMwMDggWyAwIDAgMCAwIF0gNjMwODggWyAyMDcgMjA3IDIwNyAyODkgMjA3IF0gNjMwOTQgWyAyMDcgMjA3IDIwNyAyMDcgMjA3IDIwNyAyMDcgMjA3IDIwNyAyMDcgNDEyIDIwNyAyMjkgMjA3IDIyOSA0MzIgNDMyIDIwNyAyMjkgNjM4IDU4OCAyNDQgMjQ0IDIwNyAyMjkgNzEzIDcxMyAyNDQgMjQ0IDI4MiAzNzUgNzEzIDcxMyAyNDQgMjQ0IDcxMyA3MTMgMjQ0IDI0NCA1NjIgNTI1IDUyOSA1MjkgNTYyIDUyNSA1MjkgNTI5IDU2MiA1MjUgNTI5IDUyOSAzMzcgMzM3IDMzNyAzMzcgNDg4IDQ4OCA0ODggNDg4IDgyMSA4MjEgNTMwIDUzMCA4MjEgODIxIDUzMCA1MzAgMTA5OCAxMDk4IDg0NiA4NDYgMTA5OCAxMDk4IDg0NiA4NDYgNTgxIDU4MSA1ODEgNTgxIDU4MSA1ODEgNTgxIDU4MSA1NDMgNDUwIDUyNSAzOTQgNTQzIDQ1MCA1MjUgMzk0IDc4OCA3ODggMjY3IDI2MiA1ODEgNTgxIDI2NyAyNjIgNjAxIDYwMSAzOTQgMzk0IDUwNiA1MDYgMjA3IDIwNyAzMzcgMzM3IDM5NCAzOTQgNTI1IDUyNSAyNDQgMjQ0IDI4MiAzNzUgNDUwIDM5NCA0MzIgNDMyIDYzOCA1ODggNjM4IDU4OCAyNDQgMjQ0IDU0MyA2MDAgNTQzIDYwMCA1NDMgNjAwIDU0MyA2MDAgXSA2MzQ4NCBbIDEwMDAgXSBdCi9DSURUb0dJRE1hcCAxMSAwIFIKL0NJRFN5c3RlbUluZm8gPDwKL1JlZ2lzdHJ5IChIYXJ1KQovT3JkZXJpbmcgKE1vZGVybjEpCi9TdXBwbGVtZW50IDAKPj4KL0Jhc2VGb250IC9IUERGQUErQXJpYWxNVAovRm9udERlc2NyaXB0b3IgMTUgMCBSCj4+CmVuZG9iagoxMSAwIG9iago8PAovTGVuZ3RoIDEyIDAgUgovRmlsdGVyIFsgL0ZsYXRlRGVjb2RlIF0KPj4Kc3RyZWFtDQp4nO3bZdTcRpYw4AIVS69KZmZmTBxTzMzMbMecmBMzMzMzMzMzMzMzM3vfOJ5vZjOZnWSTjGe+vc85pSJV1ZXUXd39oxH6nShyEEMcCSSRQhoZ5CIPhSAfWRSgMCgsCofCowgoIoqEIqMoKCqKhqKjGCgmioViozgoLoqH4qMEKCFKhBKjJCgpSoaSoxQoJUqFUqM0KC1Kh9KjL9CXKAP6CmVEmVBmlAVlRV+jbCg7yoFyolwoN8qD8qJ8KD8qgAqiQqgwKoKKomKoOCqBSqJSqDQqg8qicqg8qoAqokqoMqqCqqJqqPrvvfiP1z8FdUXdaBU0HF1H3VF/1AeNQ7PQ1NDr740R6oKGoIfoEeqHRqCeGKOz6AEaj2ajJ+gxeoomo7loJ9qO5qEaqCYaiGqh3ag22oF2of1oD9qL9qEbqA46hA6gg2g++gbdR4PQUXQYHUF10S10B/VC9VE91AA1Qg1RYzQRfYuaoO9QU9QMtUDNUUvUCt1E36PW6AfUBrVDbdEKNAl1QO1RR9QJ3UZ30So8HI/ABFPsYIbeoLd4JB6FR+Mx6B16jzkWWKIPeCweh8fjCXginoQV1thgF0/GU9Bz9AJPxdPwdDwDz8Sz8Gw8B8/F8/B8vAAvxIvwYrwEvUTHcG/cBy/Fy/ByvAKvxB4OwavwauxjiwMcBl1El3BYHA6vwWtxeBwB98Xr8Hq8AW/Em/BmHBFHQgvQQhwZR8Fb8FYcFUfD0XEMvA1vR6/Qa3QZXcExcSwcG8fBO/BOvAvvxnvwXrwP78dxcTwcHyfAB/BBfAgfxkfwUbQaJ8SJcGKcBF1F1/Ax3pv34X15P96fD+AD+SA+mA/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"\t\t\n", "\t\n", "\t\n", "\n" ], "text/plain": [ "This front-end cannot display the desired image type." ] }, "metadata": { "image/svg+xml": { "height": 954, "width": 600 } }, "output_type": "display_data" } ], "source": [ "grmap" ] }, { "cell_type": "markdown", "metadata": { "scrolled": true }, "source": [ "### Calculate Contiguity and Inverse Distance matrix" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "// Create Matrix W\n", "/*\n", "spmatrix create contiguity W\n", "cd \"..\\\"\n", "cd \"..\\working_data\\\"\n", "spmatrix save W using \"contiguity_W.stswm\"\n", "*/" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "/*\n", "spmatrix export W using \"contiguity_W\"\n", "clear\n", "import delimited using \"contiguity_W.txt\" , delimiters(\" \")\n", "drop if mi(v2)\n", "save \"contiguity_W.dta\"\n", "*/" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "// Create Matrix M\n", "/*\n", "cd \"..\\working_data\\analytical_panel_shapefile\\\"\n", "spmatrix create idistance M if quarter==3 & year == 2012\n", "cd \"..\\\"\n", "cd \"..\\working_data\\\"\n", "spmatrix save M using \"idistance_M.stswm\"\n", "*/" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Use saved matrix" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\\working_data\\analytical_panel_shapefile\n" ] } ], "source": [ "cd" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\\working_data\n", "\n" ] } ], "source": [ "cd \"..\\\"\n", "*cd \"..\\working_data\\\"\n", "spmatrix use W using \"contiguity_W.stswm\"\n", "*spmatrix use M using \"idistance_M.stswm\"" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Weighting matrix W\n", "---------------------------------------\n", " Type | contiguity\n", " Normalization | spectral\n", " Dimension | 2736 x 2736\n", "Elements |\n", " minimum | 0\n", " minimum > 0 | .1600261\n", " mean | .0003389\n", " max | .1600261\n", "Neighbors |\n", " minimum | 2\n", " mean | 5.79386\n", " maximum | 12\n", "---------------------------------------\n" ] } ], "source": [ "spmatrix summarize W" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\\dofiles\n" ] } ], "source": [ "cd \"..\\dofiles\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "------------------------------------------------------------------------\n", " Weighting matrix name N x N Type Normalization\n", "------------------------------------------------------------------------\n", " W 2736 x 2736 contiguity spectral\n", "------------------------------------------------------------------------\n" ] } ], "source": [ "spmatrix dir" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "keep _ID _CX _CY intersecti" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "-------------------------------------------------------------------------------\n", "merge specs |\n", " matching type | 1:n\n", " mv's on match vars | none\n", " unmatched obs from | master\n", "---------------------+---------------------------------------------------------\n", " master file | analytical_panel_qt_shapefile_crosssec_thiessen_polygons_clipped_manhattan.dta\n", " obs | 2736\n", " vars | 4\n", " match vars | intersecti (key)\n", " -------------------+---------------------------------------------------------\n", " using file | ..\\working_data\\analytical_file_panel_qt.dta\n", " obs | 324675\n", " vars | 163\n", " match vars | intersection_id (not a key)\n", "---------------------+---------------------------------------------------------\n", "variable intersecti does not uniquely identify observations in C:\\Users\\jerem\\AppData\\Local\\Temp\\ST_198c_000002.tmp\n", "result file | analytical_panel_qt_shapefile_crosssec_thiessen_polygons_clipped_manhattan.dta\n", " obs | 68400\n", " vars | 168 (including _merge)\n", " ------------+---------------------------------------------------------\n", " _merge | 68400 obs both in master and using data (code==3)\n", "-------------------------------------------------------------------------------\n" ] } ], "source": [ "mmerge intersecti using \"..\\working_data\\analytical_file_panel_qt.dta\", ///\n", "type(1:n) ///\n", "unmatched(master) ///\n", "umatch(intersection_id)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Contains data from analytical_panel_qt_shapefile_crosssec_thiessen_polygons_clipped_manhattan.dta\n", " obs: 68,400 \n", " vars: 167 22 Feb 2019 15:49\n", " size: 45,007,200 \n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", " storage display value\n", "variable name type format label variable label\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "_ID int %12.0g Spatial-unit ID\n", "_CX double %10.0g x-coordinate of area centroid\n", "_CY double %10.0g y-coordinate of area centroid\n", "intersecti int %9.0f intersecti\n", "quarter byte %8.0g \n", "year int %8.0g \n", "quarterly int %tq \n", "index int %12.0g \n", "y double %10.0g \n", "x double %10.0g \n", "st1_name str31 %31s \n", "st2_name str32 %32s \n", "st3_name str35 %35s \n", "st4_name str36 %36s \n", "dup byte %8.0g \n", "Coordinates str42 %42s \n", "distance_to_L~S int %12.0g \n", "nearest_LPIS int %12.0g \n", "distance_to_S~t int %12.0g \n", "nearest_Street long %12.0g \n", "num_traveling~s float %10.0g \n", "mi_number_tra~s byte %9.0g \n", "num_parking_l~s byte %10.0g \n", "mi_number_par~s byte %9.0g \n", "num_total_lanes byte %10.0g \n", "trafdir byte %80.0g trafdir1 \n", "distance_to_Sch int %12.0g \n", "nearest_Sch long %10.0g \n", "distance_to_LTC long %12.0g \n", "nearest_LTC int %12.0g \n", "left_turn_tre~t str80 %80s \n", "left_turn_in~dt int %td \n", "left_turn_in~qt int %tq \n", "left_turn_in~mt int %tm \n", "distance_to_S~o long %12.0g \n", "nearest_StImpro int %12.0g \n", "street_impro~dt int %td \n", "street_impro~qt int %tq \n", "street_impro~mt int %tm \n", "street_impro~nt str53 %53s \n", "distance_to_b~e int %12.0g \n", "nearest_biker~e int %10.0g \n", "distance_to_t~e int %12.0g \n", "nearest_truck~e long %12.0g \n", "bname str13 %13s \n", "distance_to_p~s int %12.0g \n", "nearest_prior~s int %12.0g \n", "Name str26 %26s \n", "seniors_ID byte %10.0g \n", "bronx byte %9.0g \n", "brooklyn byte %9.0g \n", "manhattan byte %9.0g \n", "queens byte %9.0g \n", "statenisland byte %9.0g \n", "tf_facilit str21 %21s \n", "bike_route_i~dt int %td \n", "bike_route_i~mt int %tm \n", "bike_route_i~qt int %tq \n", "bike_route_ever byte %9.0g Indicates that bike route passes through this intersection (<3 ft)\n", "bike_route_tv byte %9.0g Indicates that bike route passes through this intersection timevarient(<3 ft)\n", "truck_route byte %9.0g Indicates that truck route passes through this intersection (<3 ft)\n", "left_turn_min int %10.0g \n", "flag_left_tur~r byte %9.0g \n", "flag_left_turn byte %9.0g \n", "street_improv~n int %10.0g \n", "flag_street_i~r byte %9.0g \n", "flag_street_i~v byte %9.0g \n", "LPIS_install_dt int %td \n", "LPIS_install_mt int %tm \n", "LPIS_install_qt int %tq \n", "LPIS_install_yr int %9.0g \n", "LPIS_min int %10.0g \n", "flag_LPIS_ever byte %9.0g Indicates the intersection if they ever received LPIS intervention\n", "flag_LPIS byte %9.0g Indicates the intersection at the time they became an LPIS intervention\n", "flag_LPIS_1yr byte %9.0g \n", "flag_LPIS_2yr byte %9.0g \n", "flag_LPIS_3yrup byte %9.0g \n", "flag_LPIS_2yrup byte %9.0g \n", "flag_LPIS_since byte %9.0g \n", "flag_LPIS_sin~q int %9.0g \n", "LPIS_ID1 int %12.0g 1 LPIS_ID\n", "LPIS_ID2 int %12.0g 2 LPIS_ID\n", "LPIS_ID3 int %12.0g 3 LPIS_ID\n", "LPIS_ID4 int %12.0g 4 LPIS_ID\n", "LPIS_ID5 int %12.0g 5 LPIS_ID\n", "LPIS_ID6 int %12.0g 6 LPIS_ID\n", "LPIS_ID7 int %12.0g 7 LPIS_ID\n", "LPIS_ID8 int %12.0g 8 LPIS_ID\n", "LPIS_ID9 int %12.0g 9 LPIS_ID\n", "LPIS_ID10 int %12.0g 10 LPIS_ID\n", "LPIS_ID11 int %12.0g 11 LPIS_ID\n", "LPIS_ID12 int %12.0g 12 LPIS_ID\n", "LPIS_ID13 int %12.0g 13 LPIS_ID\n", "LPIS_ID14 int %12.0g 14 LPIS_ID\n", "LPIS_ID15 int %12.0g 15 LPIS_ID\n", "LPIS_ID16 int %12.0g 16 LPIS_ID\n", "LPIS_ID17 int %12.0g 17 LPIS_ID\n", "LPIS_ID18 int %12.0g 18 LPIS_ID\n", "LPIS_ID19 int %12.0g 19 LPIS_ID\n", "LPIS_ID20 int %12.0g 20 LPIS_ID\n", "LPIS_ID21 int %12.0g 21 LPIS_ID\n", "LPIS_ID22 int %12.0g 22 LPIS_ID\n", "LPIS_ID23 int %12.0g 23 LPIS_ID\n", "LPIS_ID24 int %12.0g 24 LPIS_ID\n", "LPIS_ID25 int %12.0g 25 LPIS_ID\n", "LPIS_ID26 int %12.0g 26 LPIS_ID\n", "LPIS_ID27 int %12.0g 27 LPIS_ID\n", "LPIS_ID28 int %12.0g 28 LPIS_ID\n", "LPIS_ID29 int %12.0g 29 LPIS_ID\n", "LPIS_ID30 int %12.0g 30 LPIS_ID\n", "LPIS_ID31 int %12.0g 31 LPIS_ID\n", "LPIS_ID32 int %12.0g 32 LPIS_ID\n", "LPIS_ID33 int %12.0g 33 LPIS_ID\n", "LPIS_ID34 int %12.0g 34 LPIS_ID\n", "LPIS_ID35 int %12.0g 35 LPIS_ID\n", "LPIS_ID36 int %12.0g 36 LPIS_ID\n", "LPIS_ID37 int %12.0g 37 LPIS_ID\n", "LPIS_ID38 int %12.0g 38 LPIS_ID\n", "LPIS_ID39 int %12.0g 39 LPIS_ID\n", "LPIS_ID40 int %12.0g 40 LPIS_ID\n", "LPIS_ID41 int %12.0g 41 LPIS_ID\n", "LPIS_ID42 int %12.0g 42 LPIS_ID\n", "LPIS_ID43 int %12.0g 43 LPIS_ID\n", "LPIS_ID44 int %12.0g 44 LPIS_ID\n", "LPIS_ID45 int %12.0g 45 LPIS_ID\n", "LPIS_ID46 int %12.0g 46 LPIS_ID\n", "LPIS_ID47 int %12.0g 47 LPIS_ID\n", "LPIS_ID48 int %12.0g 48 LPIS_ID\n", "LPIS_ID49 int %12.0g 49 LPIS_ID\n", "LPIS_ID50 int %12.0g 50 LPIS_ID\n", "LPIS_ID51 int %12.0g 51 LPIS_ID\n", "LPIS_ID52 int %12.0g 52 LPIS_ID\n", "LPIS_ID53 int %12.0g 53 LPIS_ID\n", "flag_seniors byte %9.0g \n", "flag_priority~s byte %9.0g \n", "flag_school byte %9.0g \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "collision_count byte %9.0g No. of collisions occured during that month\n", "latenight_col~t byte %9.0g No. of collisions occured during that month between 11pm - 5am\n", "day_collision~t byte %9.0g No. of collisions occured during that month between 5am - 11pm\n", "personsinjured byte %10.0g No. of persons injured during that month\n", "personskilled byte %10.0g No. of persons killed during that month\n", "pedestriansin~d byte %10.0g No. of pedestrians injured during that month\n", "pedestrianski~d byte %10.0g No. of pedestrians killed during that month\n", "cyclistinjured byte %10.0g No. of cyclist injured during that month\n", "cyclistkilled byte %10.0g No. of cyclist killed during that month\n", "motoristinjured byte %10.0g No. of motorist injured during that month\n", "motoristkilled byte %10.0g No. of motorist killed during that month\n", "late~onsinjured byte %9.0g No. of persons injured during that month between 11pm - 5am\n", "laten~onskilled byte %9.0g No. of persons killed during that month between 11pm - 5am\n", "late~ansinjured byte %9.0g No. of pedestrians injured during that month between 11pm - 5am\n", "laten~anskilled byte %9.0g No. of pedestrians killed during that month between 11pm - 5am\n", "latenight_c~red byte %9.0g No. of cyclist injured during that month between 11pm - 5am\n", "latenight_c~led byte %9.0g No. of cyclist killed during that month between 11pm - 5am\n", "latenight_m~red byte %9.0g No. of motorist injured during that month between 11pm - 5am\n", "latenight_m~led byte %9.0g No. of motorist killed during that month between 11pm - 5am\n", "day_personsin~d byte %9.0g No. of persons injured during that month between 5am - 11pm\n", "day_personski~d byte %9.0g No. of persons killed during that month between 5am - 11pm\n", "day_pedestr~red byte %9.0g No. of pedestrians injured during that month between 5am - 11pm\n", "day_pedestr~led byte %9.0g No. of pedestrians killed during that month between 5am - 11pm\n", "day_cyclistin~d byte %9.0g No. of cyclist injured during that month between 5am - 11pm\n", "day_cyclistki~d byte %9.0g No. of cyclist killed during that month between 5am - 11pm\n", "day_motoristi~d byte %9.0g No. of motorist injured during that month between 5am - 11pm\n", "day_motoristk~d byte %9.0g No. of motorist killed during that month between 5am - 11pm\n", "flag_collision byte %9.0g At least one collision occurred that month\n", "latenight_fla~n byte %9.0g At least one collision occurred that month between 11pm - 5am\n", "day_flag_coll~n byte %9.0g At least one collision occurred that month between 5am - 11pm\n", "_merge byte %32.0g __MERGE \n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "Sorted by: \n", " Note: Dataset has changed since last saved.\n" ] } ], "source": [ "describe" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "sort _ID quarterly " ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " panel variable: _ID (strongly balanced)\n", " time variable: quarterly, 2012q3 to 2018q3\n", " delta: 1 quarter\n" ] } ], "source": [ "xtset _ID quarterly, quarterly" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\\manuscripts\n" ] } ], "source": [ "cd \"..\\manuscripts\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualization" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\\working_data\\analytical_panel_shapefile\n", "\n", "(65,664 observations deleted)\n" ] }, { "data": { "application/pdf": 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"\t\t\n", "\t\n", "\t\n", "\n" ], "text/plain": [ "This front-end cannot display the desired image type." ] }, "metadata": { "image/svg+xml": { "height": 954, "width": 600 } }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n" ] } ], "source": [ "cd \"..\\working_data\\analytical_panel_shapefile\\\"\n", "grmap,t(210)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "egen total_collisions = total(collision_count), by(_ID)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "gen avg_collisions = total_collisions/25" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\\working_data\\analytical_panel_shapefile\n" ] } ], "source": [ "cd" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(65,664 observations deleted)\n" ] }, { "data": { "application/pdf": 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"\t\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t(3.28,29.36]\n", "\t(1.88,3.28]\n", "\t(.88,1.88]\n", "\t[0,.88]\n", "\n" ], "text/plain": [ "This front-end cannot display the desired image type." ] }, "metadata": { "image/svg+xml": { "height": 954, "width": 600 } }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n" ] } ], "source": [ "*cd \"..\\working_data\\analytical_panel_shapefile\\\"\n", "grmap avg_collisions, t(210) clmethod(quantile) legend(position(3)) fcolor(Heat)\n", "// Note that the graph viewed here is not correctly depicting the data\n", "//graph export \"D:\\Box Sync\\Policy Evaluation\\manuscripts\\choroplethmapmanhattan_avgcollision.png\",as(png) replace" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " Indicates |\n", " the |\n", "intersectio |\n", " n if they |\n", " ever |\n", " received |\n", " LPIS |\n", "interventio |\n", " n | Freq. Percent Cum.\n", "------------+-----------------------------------\n", " 0 | 2,063 75.40 75.40\n", " 1 | 673 24.60 100.00\n", "------------+-----------------------------------\n", " Total | 2,736 100.00\n" ] } ], "source": [ "tab flag_LPIS_ever if quarterly == 210" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(65,664 observations deleted)\n" ] }, { "data": { "application/pdf": 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LkV/OzD68gsXKe9WfXB1m8xKLGb9rL7I/dLBcI+77eal46hM7cKu3lf6qz9mqnr8pLOd4YuQWI7HsQWTPMrMJj3leiRYthWNXq8C7xhnPTBzHJmwJNeT4/IpHnT7jwVxew5pqgc7hw2hHYHjM89J7dcw86jALEatrMVOxqNPgfcgfX4LA4muZ2YTHPC9EsSc87w2B8qJOvGtMsT+Bzg1k3qrKPc24f2z57B3VwNuQ5Ec7AsNjnleyJrqGR9V6Hhpfmh9SVzi2ibNLrPUo8zhlXubEJjzmeSU7omtYVq1nqbDUvBS6C9O8DZF/NrEJj3leyWTrOo510HSUWOg+SgazfESZbzexCY95Xjlp63ljddDNlVhoNQkNJ53vIvJgRO6dynOd2IdXsFjJMu36Q3XQIhJY9gg6d/zKV9N5aVee1sQmPOZ5pR/rvUMdtWEuLPVjJAPJTPYmEztwq7eVbJz+NletkabwpRMj9WNUj6BygkXumvhCZvbhFSz+/j2MEXU+MukdXnjXODmKmcKVQ8zJn/+Oq9wjviNhB2MjzaSTuWZFDQc8w2eM+ge8gxBRN8J6xrg4tp70t2Yc4B/DdCnyafuxhs7GL7xrjCuW9nZw3A2eQm0cX4OyzHbjuJvJb+HXPay0vec4Vp3vqLCIy1PxRCLOyBMO6eO3F4Zbva1ksXbtoqp1jCROBTHl1FKco42R4xwxTpZPdrV+j9D1mdiExzyvvD/dUx29XlgyyxG/aup52wtcety61jf6bgdu9bYyn++x53WIQ5dY5GDJXFKFE1Y39MdIf9WukRqTUnty4gtex2hlvwLzbzgP9cK7xjTzdtSTOgyVdG77jL0VsbSiKp6ueIfxlSUfOwv47zmPvgSGV7NbqmN4sKyKsWbfvhznSbfDY65AxzLGWbRwZgdu9bakFHbo39RBC0dioUUhNSrSFk4s3wb55KSmzsQ+vILFyrfcGVTNRjHDHeTg8vDU9ROV7L/bgVu9rWQ59lpJdag3JbGsrSTqpUhtZtyR6Rg3mK1l/TyPI6LlXQa7YQ0r1i1Q9ay++4VXs1tSjTx2meuw4yxxNj0/r+HS81yVhqXQcRx2q7/ahMc8rygpdC3wqnXBlUa4qOEgazv4Qiy38Q2Qb8bEJjzmeWXc7CN0HUZriUV1Xqk1K7Rj+bTjmFFN7MCt3lb207rOYh00FxW+dBmlHpjUTpOaahF7jcy7qxG/luT5tMOlrkfrAmk6lvzp68TwanYrGTv9S6jDV6HwVY9FaodLTfGEOlK8I2N5R4Yj5+TXNbEPr2Cx8t7iLoyhmlQX3kd85sqoHJqIedsbP3WKwSys8TaxA7d6W7knPX+o6lwijYWOr3iz5RsfUEvV04rdOUu9M2ssiZykiX14BYuV8dRQRWce1TreNcb4bwqNQNz+h4q2Im6jlwk8Q8IJVPt7mmlZjPnt+LtNeMzzkjrq8ZZX/cYrLJ6WfIoZdww5I+XAPIOXX8vEJjzmeSVWoTOomo3E8o2XkRMqokKwn9iBW70tnLk0RzHi3nNHu0AGs64LF9/CaSHvpjQYfhJnf2FMDh1xFFd++DCiNFeBhvbSZgI+8wHI1kwmZfxC8A4aCzu+Z1Z/1Rn+Ktvf4T48xcwHgwrahWIDApYat8V+KAJM7MCt3hbuyZmVXYcMbYVPBpJZw60fKJxxikJBNvuP7O6JTXjM88r70zPVq85al1gwkMyCxfVaCtwS7Dd47q3OQdT5yHf78AoWi98geaqj1xNLZo0xrospQzvQXMhnPhOR5yPi3GRiEx7zvJBXfr7ldXjjBcZQMAoWwIzuDVXe6JxIP2nxBkzswK3eVu5Jf0JVPy395C42kmXAM7KUmT0pUtH+nn7S323CY54Xo11MyFuPMyG8DzhRxTLaH0ZxIJP4XAzPXk3keQ7G5BjP6w7c5zSez8swXdO4zOduWLE48PkanvuYY//Z0t9ztY9mqP2949gVzPd0XKUJxQmM573oDeftxxp5whn+w7ZsJboQmW2Jq7Z3vGuMof+8hdY4bm2C9vEXAsMv2FzS32p32/Ka78S7xr5NPtssisjEDcUPeM2H4RbGcI5RMqiEQE/EYsqV2TIrhAT/Uw5RkPYOZG4HviZm2z48CQwv5raQN3zM1auctZ9ITOoNSiJmzthF1dZ4FAFuHVsMR6Z/+In2SBzcfo48JRRPdplTCFGAMh3am767SG35EDdWAIztZ5xCh9+w57qdmCzFsrltdKYkMoIZ/5VSWXDNwNouJuIygxPx0SZ/zbQl4CmUq8H842nO02BbiET+V/QWj595zCGlFmf3wydtBjdRAqd04304LITULLCQYWhjgT9ulEcXbKF98oFiZ41vvUswh0RA+WHtLOMpI4fsov/j7qBo4vGvWLyMV1AGg0F4CWVQbSts/Af+vJN4ouLpfWj/2h6h4b/FxvNjsZgvVHgNF2y3azF77BC5yBiMSMwwjsKxBRTc45Vwg+1vObnDolxv4X/dTg4UqshqD/hqHuXXsRSdYz0OHDkP8UfTHHtePJp2x4+kEUzOYVU7s7WXmG/1t5cT/vPl/c+X95/68q7EdfQd4TrsDgssT25klpHc1ZK7XRM7cKu3v39PEkqnbSSbdcJdQtT/ag8Hn5zURbrUkgyemRnDX4mNOJOhM57v5uB2jwsrqfbWZ6oK1dEukHAhSYg9vmtH7tvv4ZftL+kE8d5kHbYpT4incuaQx/DtFS7l7COPsUKMIF9NwC1eVqprd2WrOqhcSSyUsHArw26HNnPEv+HhEQchy3PQmR241dvCPTm1ZKrSlVFYas/QPDvR3m1b+rXXObA6hhQ4ksJHE5vwmOeV96c/rToopn1gf8wkLiUsLJVuHU+OEurxG+/Gpz6xCY95XrlXXdOoDvpGSutIaBaKN1u+8RH3MErieZWoP690kr7bh1ewWFn996zyOs82lxnpuDZukwrWWG0zD88TNQrQaEz/lLUOt3pbOX/vKjN1UJyRWKjS+IhqDqyb7jGyNhVmhpl1ib6KmR241dtSjN+halFHdR6BhQqGVMjC8gSeM3BswDppx99Q/YdCax/VKqX4890XvI7RyrzJUA1MntJ0vGvsUQuc68vR6tH2HqGckWTG0b/bMP5WYLjV21IlvNYLZIq6u/CucY64kOwKR23xlylL0+AZXVuU8zZDWwr4xMvyiR241duKIjCu+ljB58K7xhbPEv0xgxGKmVIZU6q1TuzArd6W1hxUf+lYDhx4H7B4U+UbHHAk7n8TMcvLHUqj/sLfbcJjnle+KTyf2QyprJ54H7Bv2BwzOVovc63d1g38pEPISGziXVt7E4PwjNulOlvNPR5BVYF3jQvGUDpeA2AopWFFcApZMoZPC1DHobBe9MQM3OlsYew/I/7qEP0nsdDSlxr74qxQnc1hPSP6JOhEBs/yuGdVEYXffcHrGK3c2x41WXUEpcKCgWQW+cWgmW9os+PjzHRmB271tlSZ84gYrUP0qMQiwlSykSzlaaA8JZzYhMc8r2gI4i6Fz6zq1/E+YE+RtvT2qwhcwUayVGee+OUcyn8T+/AKFisq1pvH0ZVmOifeB4xZBZl3iWQdZFXXWNRrm9iBW70tvFcR1Q0N1/g78a4xLo68LUe0Aqk/cq9KJ2zc82J9EEpL26d24FZvSzMDVILhldOJ9xGfKoZS3VDVPhY112Z24FZvK/1PV3asg8rjh+JjZGZC+VjViBQ1H2XtY6UW+d0+vILFagW8tF116I5dHInlTk/EQ9F07IShglHip37UQQ7jbwWGW72tzAG6Um8dVHslFrtckoFkJmtDy/p9Uv13Yh9ewWJlvUdx3YkXXh3vA8Ysdj4FkvWOh/rFV51f2t1nRbqZTXjM88ocgBSqSDXhwrvGkoFkpusaX6O1HMUnNuExz0tVTI+RpupRR2HRY8qeVNZK1jWRxYj13SY85nlFu6GridehAoDEQn1c1htV9UPFKCVHr4lNeMzzyl5e3wmr467YheXOmZz1qtmwqHE8sQO3elvpw2n2RvHYF941FjM5Vc9XYVm3V/S2ohee2YdXsFjJde8nOXU4PRNYnvxE/neOBRazHzkrmtiBW72t9Ev9y69D9QOB5exEzloklr3GxA7c6m0hbquNB4YPgU64S5gxCoRricsySx9BIBwcIsp0JdpS48Sdr5bhSecrs6Z2y4P1FPtw4l3j3J5r4LW6PENT52MBNeQyx5qG9p99obM1nOoELuRbWmcbOKTP4O5aYBXlmVd4MbeF+31yqQMvgdWZpTiPRIKedVEprKkN19tH+y4Mt3pbqZKJa1LWx7zwrjFVZA2Zw7BpfshjN8bIOsexSha14fxmxt8KDLd6W4mMSuHHe8qQvvCuccTaXY7f94jxECbyv3uMCz/WEQJjJpY35QgjP+vBGO9wL+6ISaIaMBwnh8Hy/ojdnnCAfwzTlTqBKCdFEjcn3CU0KKZvAx8SWxIi4UNiebguDsuLi3jObrQVAeEBnytRDThvZP3fC+8ao6aSs5yW4CnVgJ8u5gO0tRvjgFn7nAQi41dkbApKI9vjnHTiC17HaCXyFh8hpp1XgXeNJQMVxyPje0QswsQO3OptZQxFOQyuN3DhXeMcC9YjLGPvI3uHyW/h1z2sfGutlwyRazmfeNcYtVfCMXrhNtO3uZKa2bRGBM7oNfiyB943aDhhchW/zY1YYA1Wgzrv4UjhmnCAfwzTpR3uQ8uyal1LiaX2JW4l2yMsJnrUuLSscdZaZVjJY2YHbvW2kmvdz++qPsuTWJz3ua3gbCBwFjimqxmO0SyYbcaJLxb3JRoOox2B4THPC6vVDUedSLrSF941NqhXm8yhJNFGFJ6dB4d6+olG7kDa+pH2qQKlEkaaIbWPI2BCHi0WqXYI91bBYormgWnfj3MwZxzgH8N04VmcjKtmr1qCuDAb72Kv/6daOPkt/LqHlffQoX401eC88K6xvPvqqeD5NZ/Jzn4Lv+5hQXMH92PazI9qD5x4V7h5whUgb7ooxoKZxfMIW1i5JFFNGmoJhtA6Q7qrM/vwChYr3w6ejWKOXhV419ihrJk5chap2julXzecEBPjUDB1nP8+YEu47qb+EsQXMvEFr2O0cG+pVqtJOIu68K6xR3y8AZhX3HpZahUeJXpLG1wh4U6NpV0J1Vp5Fyb24RUsViKhMIMfR5cq8D5gnA3EwrMEzE2KtPXaZgAG63q6j7+/MPy6h6UoMEypL8ys413j1GbbPnMtuoQSB1z/w5IUYWYVFUyr9Wn7YC9bNbEPr2Cxcg97Dlsd8tkkxp2pwLlJ8inKp5sx5s17bi3OOB1rmuu8uK/24RUsVtYFbVXchieenXe8D7g9rcB6oLZEXMVRL+w2FMLgs2mHnUc4ZvCmPfxgOI50YhMe87xwr863v+ovQWGUQymZ4yo3PMjgOhYbq3Tk8cuZ2IFbva28P91rVQw0bgv6YDgOOePK3zh+iq13oGUCPjk81eBcQcV+YhMe87yg7GEt1WrCXbwL7xong7XPiXFK7W32vMuZ8HzMcTx2Cu1FPmqlzOzArd4W7snpqQ5eBZbMUGzWs6ZzygZrwNDbP/st/LqHlYoVAVfmmXScT7wr7Des9cvnon6jfFoaFTy+wa7QjM0VPKNPdA49swO3elupUtQGujZZ5TrlHe8aZ9zx//SqmBUUdOIVuMPe3wWuD4EadS5yLzmxD69gsVIlEGvW5qPuY8e7xoG0rywr5jqMe2HVYZTraKspZOZRY8Ily3+PylGJVgUzm/CY54V7RatHri194V1jFFNrKyJijHUNj55CsZetmtiBW72t6B0nizNUnJldeNc442qctV3aA8I8bTrmDFiq1wd/YDxZ4fpe2JF4fyhbu/b34VAE/24fXsFiqVIn7poV/hI63jWWb7Z843Gz1kXqKXzEXaTANfZITyE46pHxIOuIhJjZh1ewWLiHKKxFO2tV4F1jyUAxw97WMWOHu0KO4ktnduBWbwv3JKJWn+OarCfeNZZvtnzjC+340KrJ0yrdHk/3ux241dvKPUEBSUvCZRfeByy8SjaY5+UNP0UM8PMmff72wnCrt5V7QiMH7bReeB+wYCCZ5Yyna7RjqEYgOTJNbMJjnhfuFcYa+mxopDnxrjHWVgxHXXDbFtMdowinL8wMV0RtmGZsKGIvjHYEhsc8r1S6SZFrEleBd40DvcE8u8UBxB+rbhQWdazDNfst/LqHlYpIvR5zHWozC6xYCjao9eMKrZbbOGFQVpZ/K+o6T2zCY55X1rb4VCKNHBfeFW6ThIBvpBvfVPUGo2YZj7KulHNW1+xYtJMGmxLDK1gs3EPcRPc8I7nwrrFkoJg50msjHVvcxfCsmdB/60c7AsNjnlfuVXTcC1SBd40lG8myUCQrfy00gzGWV+/beRLmKAKbR6CZfXgFi5XKvN1T1V4Vvph5Q6eAvFowGF23FR5p5M7RtaPksAiL37jlE/vwChYr+1d4uo/5oVXgXWPBQDHTu2lidwkjYnmndWYTHvO88s3iDnKiGhQX3jWWDCQzuWuGqU3tEyjjbwWGW72tzNv7Crzq1bhamYudsoJ5bZyzpjCefLjIO7lqJf/dJjzmeWWfqu+I1WEnUWC5ipCrC6z/4jfLUTvUq9qPlsjWTuzDK1gs7RUfOxdV72JILHc65E4Q5ZB6irDxKF1BZYTwbzCX2dLpiA8YyeRMHG0KDK9gsVKPsK9g67CaFVjuAoidkYDKfN4eEXU447TH319vhl4Vf7cPr2CxEu/Xd47qsIt0YbmTG1C+ynM0uWSvd52+24Fbva3Mx/qMsI6zwxN76jUs1Ylvsx+DEV2MMYLE8gmBmCHpmeV3m/CY54V4PIxycJ60vy68KxwxqLwN34Rxg62N6BthjFTm09yIBVAcz84jzSA5CysU7IU9ny5M7MMrWCzcw4SRrLgcrgLvCrc1LWZP0Wo5YnS+5V2GuGGFQM5EDVQznmdRMztwq7eVe4K1HDJp0F94H/HJQDJrTw51Yygjq7EnXQt+og7TAo9WNRNHlc6QLaYIUgtnvuB1jBYqRBuaHZKOyoV3ja2lWQ4xbsN1nxVF7IxdpkykiEWWXOQWyi9KfmkT+/AKFgv3EDtaVygK6sK7xngi5Q2zwVpe3tBMKGIRWM/VmFWrZGsnNuExzwv3CpPmnado6QvvGhfsbSN9IQkrnR67pSrySUVEYc/rPu0IDI95Xjl77ScKdThdEFieQGBhuBNjBnih3SiPB6GNzOcpxYXhVm8L709IqDOekeWFd42TxxUIZfrFnLBeG0VjRFytWc5MiJhcZVnBYWYHbvW2kqOEvV6iwoUX3jVGCTAKhRozPWSGhsiekhlrE5vwmOeFbwrVExwKy1WBd40pE69QppCO7BERPzIKyrFmkR3tCAyPeV7ZB3N0ukCRUifeNU4ldSUUj1o8PsdjpXpGBanIHipVGZId7QgMj3le6asDZmx6WvmfeNdYPi0VjSej60QEj42kq1lGOwLDY54X7pXBXV3PO00n3jWWDFRUk4j+kZE9Eztwq7eVPUDMJNloZ/zC+4DxZMXYz0gOEZkhew3Zm0xswmOeV+4V7vgYOmW58K5xiHiiufGut4zskRE/oiWyhROb8JjnFdW3nj1edSa5wiLbPCZaKfFqE1cCIXPWIu16WM78RBUnzgKa2YTHPK/cqy3gbjXNZk68aywZSGYRZzZcKyGQQpY9NOm+24FbvS3ckzPLtw4ZvwLLrOCCMw+uM6owit+4lDjT1VN15zLaERge87xSGTefp+ZD1vSFZZZvQWUce+z+4ArKlA/2soUTm/CY55Xzmn5CWfVppcTiBE6vKOQK4VK48Dj4tFHcjHYEhsc8r5zLdDZ1euIrTy7Vikuwn54WCwy3eltZm/TTx6pPItWppDj5Vk9XPq3m0Hme3cpTzIlNeMzzyvvTTxCrPk2UJ9/ixHFQGbjUB+TqXT11eWr+3T68gsVC336eONbhpFZgeUJJO62OVg5K/UG2SrZ2YhMe87ywR9fealSyo13pE+8a+w13xyLv5rcOwxaaMavdMblrRpr/nnelW9f7Q8Wp0CbqkEf+m4kveB2jhXt77ipWvcMosdyFxA/FsbpZzFQfgZlNfgu/7mFlztB7zKp7T4lFD6sVuKRCllJKOpWDZjbhMc8rcfKoauFoN//Cu8aeVBc58hUDh70ndYaGUQWDs2SxTlmPEpB4YhMe87xwr061uzoq310YJ8vfWqKYGVS++8RCQW9mH17BYuEeHk+UIjtPvGscUHEmcYZDwtOgmOKI5dsg35KJTXjM80p8sik/YTMbRQl3vGucI6mocFR0Ixgs71Zjz9K6F85mpx3wzC1BhZpCJ9wzm/CY55WqdF3ttA569hJf6qh2Q4V6S2wsZiAHQzNviw0KGyv7GNLC57qWKExynBzoutdCL3/iF17NbqUCksWnThnyF94HnOxPCDQjtzj7JFkzxK2zCYGUxy02NPijhoVtf88RVDOb8JjnlXvVn2jVT1dh4VWywXKhrTPZGNPf0N9jbZRguCXyLZnYh1ewWKnW0t/yqt94hcVX4SlDjBWmUHzLJ9o9b+sWUkA7vyifrP+wc2F4zPPKveps6tBTSCx6E0+9Ntf8QsV2z7ucqiUTO3CrtxWt6f61V/3lKyx6h4A9cuAnhIcGIXB9w9AcBFfSx28vDLd6W4mz6iuxqldlEouVW9qwPhF2Cw3TioUzlCIe4vVoxYkduNXbyvlOm7zYQqP1hXeNw0YRq7RLEgOy3DjCVUa1ymhXEZFJuwApH3ZQ5f9QRP3uC17HaCWupkd9VR0BJrGMEkMhxtY78Ekn9oysVunbNBNxGX8rMNzqbSkfFk/EN87g7XjXWGaTqkxIkSEps/4mduBWbyvrRKwNlwpl5554H7DIkJeZ85KNZCkzBmU24MQ+vILFilZGz4SvKiteYZk5ryI45Rci3n5coLQv5sjmxV0Y/veJfXgFi5V72DNnqs6iURk1goFkhmWEWjfCkUAi62ZiB271tjI+9goEdahGILBU+pYn6PJkXUZyqEoG323CY55XdN27mnwdlOUFltUaZLSKimIRERtSlX5iEx7zvKAvigUDbTQ4Ml141xgj8GzJrHyKtWi5ilLC7LU2nXbj3wsMv+5hRaun78zW+Y623PX+ospBIwqqyXhLWWczO3Crt5Wzib4rXee71VP2gplUIJLKO0pJ57t9eAWLhXt47lbX8QTlwnJ3WyvjXKox8g2Qb8bEJjzmeUUHqe9WV71zLbDc3VZqX0q961IpogSp9ls72JEYHvO8sG9wZifWIVNRYHWqLU67VTbj99/Cr3tYiUvHWQWWfawC7xpbPEna/JEBJSKbRcSzzMSwFlcInJ0+sQmPeV7R7MVIEa56deFd4+ixSm5ilWGsLsarJpW5ITMxMJK1fexhtCMwPOZ55b1CJTiu8HHhXWP5tFQmj8jckJkYBtU0IkeWT2zCY55X1mWoHoLZlVXgXWPJQGWniCwOlaFB0dKMJzbhMc8rOUc024iUUXbiXWOuFsxZTyq7QGYdiN5E9jITm/CY55X9SVROcbRquvCusewFVIaYyBzDE7Ij6oJ6Xu9oZTWzCY95XrlXOLs1rFh94l1jyUAyk9kv8qnLt2FiEx7zvNJfdYW7OqjdCSwV8dSbLd54OUKLSg8zm/CY56Uct2PnvQ678ALLnXo5istRefJb+HUPKzpCvSJFHatTnFjdfTXzkzO5a5RVlS0mNuExzyvrtV6lo+qKHRILBnoWIkZoNeJi5gZjKk7owmdFEIHhFSxW5pxd9akO6pwSC5Uo1TOKHlP2GrI3mdiExzyvzKP6bnsddt4FlqcUqjeRqwUxistRWe7gT+zDK1isvG/9ZKIOSmQCSwaSmZrNiLdBqZh9twmPeV7JE+ynFFWfWKgMWHGqITMYC640EkcDFPz7xJkzOUbMFOLIAJk9+90+vILFwj082VTNTLG8shnjhicchVVasEqNK1yxRrZkYgdu9bakv3cwqNNsWJntGQ1meHLkd8O5R4dL9tOsWoHhMc9LtYOPquFVVxDXFdmvSsa6wvF1mjj5Lfy6h5Vctl4Vu+oK2bpadjpPEHXV+et0cPJb+HUPK1ptOGPDrOYq8K4xJs9RegVmdrV/chzhGulpbbSTOPst/LqHJe2sDWeWlNl14l1jTFRtPT4xE2poSt2MFK9c+fitwHCrt4V7EtFKogjgC+8aUyXgjdXfTDgjD6RCnGIvWzWxCY95Xvl2ujpq1UqpCgvVRanGKJ+cfKIYQO1c+FBfFRge87yiq9nVY6tWkpVYepVsEkdmhLF3kL3GxCY85nnlzBHVJy3tZF14H/ClwKsYSGayx0RxHbfRjH9mEx7zvHKvuhpvHZV5Jb4YSGZydJEZzjLzWSn8frcPr2Cxsnboq5SqVywSi1WNVoy9lGSV+vPEDtzqbWVNiqqmhlQ/LrxrnDJ+CYlmokIFW30h4i0PFClrnB3tCAyPeV5ZZ/VVXB1WwheWq75BRfdS1xVPWq2iJzbhMc9L8STHiq4Oq2KB5QpQqhVL9rJVEztwq7eFfCX8kn2mleGFd4UdCpb4QifHzmCmWeFqNwaztQtnfeNiumGKBNo2qrxLmUW4OG7YDjYlhlewWIkhxOwpazh6r+NdY9wtDf6I4G9eg6PegTrLhjlzvs0Og+F/n9iBW72t6Bj0u1/Vk1BYPi2HSjE5OYHp3w1G3cVDHQB33mP0ox2B4THPSzU0jydR9VORWD65iFnxNh8ZIAUxKwW0VoUtc0sSZsl6N9oRGB7zvNBfnZnAVWcFSywzhzNmObK6kM0O1QRoJ8uiElYwNHsj4RySb9qnNuExzyv3qmcFV50hrLDMIhZZsslkjE6jTNGIJ/R8mjizA7d6W7gnLmTMbKGR5sS7xpiN4DlLwUaMdg0087ARI4Q8ncRYjAT1PuTxtwLDrd4W7smZdV/HDHyB2wAbOELa4kNr1/S08IS4vfF2fOPllzCxCY95Xvmm+ltbx6xygWXmOaqW8CqREl5bT0nsUyPiudquevsnNuExzyv3qjOomo3CogeUPSMmDYdtMyP7iR241dtK/9PVGapWapBY9nqyN4w40420Y2hjcl97DdmbTOzDK1is6PB0FZuqFG00bqujwGrpBoOGQuBRRyq2KAWWSz1kZhMe87wyD8fIDI7kuPA+YDG7lbNe7ER94Gxhg1WK/cYzY8ykPfDEJjzmeeHbpBMOR7PhC+8ao2gKpfMPDAQzW/BvWPnIorist/zlTGzCY55X1ix91VS/rqA4G60tjNqqgLP7HOIjC51mgVT1oWF7Yrn6mtiExzwv3Kvzza76LZdYMpDMLH4hx5egvorvduBWbwt7cefOex124QWWpz7yNEhWOZKKqGoH/7tNeMzzyvvTe8A69oYXlk9LPsUvioEfio1SyXFiH17BYmWfs/eMVfeSAqvRRbVKMBMKlZS07XmnbGYTHvO8sp/Zn1wdegT5REWvIXvVUFBlg3d/pNKlfAMmNuExzys1KTbKLqYToxPvA8ZZcuKqmQEzsQ+MipY+9uqtjXE/RcPdav5C2k9RYeSoruFwtk0R2zNf8DpGi/Vn/RHJd+JdY3z4YeMILayqHrbCp0341MtxiokzoWy38bcCw63eVs6Lu9eqGGiMKnjmqJqZKYu7jCwFntmBW72t3JPOoCo2U4yG20LVDTi2qSLu0voRo5jN2aqrhTP78DpGSzWbDgX/Oqj5Cyx7Adk7oBiqd5YrAQj1/4kduNXb0pn78YTq/MltuOPvaWSKHk9QuCpSxMIaHYsnOrMDt3pbqfuZ6SSMWJ541xgPf3y6omkb5qcVKHuE/33Dp+s/fisw3OptMbaZvFbNQGGcMWfK4ghosPWS9mOEFiOrYv/dJjzmeSkGHk/IguMI9QPvA24TOqKNbHAktoGxsf0kQI3QevTFESinD5sXhlewWJkvBVSgjlwJvuN9wHhqm1h1K+EIkbhnxP85cDS5/U00n9igeqxxHzYvDK9gsVRbB3dvaXfgwrvGFp9u4C8Es5dD4KeLyowBJQUuzF9OQYXr/GFHYHjM88o3G9tIk0jp7MK7xjjits/BMbPGPnFGjW/EQ6Td7fb3jXHkSiQTO3Crt5X5Ep4+Zs+VFDveB4wnAcWUj7dffBWKvWjVxCY85nll7dwma23qQrO9E+8jLg1zdCAeqrROgCMCfWj/TqqdAXfGQy5ffntiuNXbipZj/6qr/sIllm+wfLMDnoiHzYw9wsQO3OptpU/GU9tIlW4vvGtscXabjiw19VVf7BUz0ZNObMJjnlfulccv8xhFOt4HjE8xx8+vWnztsiWyhROb8JjnlXuFp7OFIgUvvGuMFf4CVzdpL3h7ioVnzLInlS2RLZzYhMc8r/RL1DPyl3DifcDZth7z2BmUPanoJWVLZAsnNuExzyv3qo2gEWUiqsC7xq6tFqKlE9wQCmKTxlFHtkS2cGITHvO8olnUiEQ8XasC7wNunWh0tDryuGJvmFQn6OmazCo5yGbjv/etd6DwePxtm9lEeyjLfLcPr2CxonfR2VTNTOHUmLHasjd5Q8yqQ1v6iRzFS0LmrSVxbNXEJjzmeeVedQZVs5GY3mweoTsmlhj0FB1F8/jmEtmXsSUTm/CY5xUtms6gajYSu/ZSx5j9iFHpMnJFUgr4ikd1SdmSiU14zPOKphbOgDGjoAq8K0zqunE72AccxQM/dYxWSel4chYx/xZ3+TPtFs1swmOeV+KsAo4uwVK0U8e7wm7zBUcjjkrB0chQpXNn2wAVN3q6zjrErERsAo7u9sgOwtGdIxcx0TxuXCFs4gtex2gl3q91tDFSZOeFd40xczjG4zTdRvz34zTdtC/hyCBqDzn6wC1pzmJgPLEJj3leiQlpq7KIy7Qq8K5wY5yw1+An7enfOWLDGex5mRmNTFxFbGIHbvW2EmvUn1DVT0tiiyNQ5qgUjKqPvEJTT3TyW/h1Dyt5EHj3cWenCrwPuE1MYjm+XtO+9sJ3P+MokjnTIOOsLgf6d0xmjZlOvmc24THPK314ij+NBUesdryPODUcOBuqEU8cUUfRTqlXAm5/31rCGZ6tQ42FI5wmNuExzyv3qj+tqp+cxrYx4wwf4VUxk096Ygdu9bakD3ZEF1UdaaSwjEZKqeOIGYbeUyUnjSNiGmVbB4lRzuXIxr+iASa+4HWMVu5tZ1YVS8V4C5jdwUoWzeMPSTUSphNxP7RkZgdu9baS+98ZVM1mhjmKi3bZYsCnEoMVeBtbMrEDj3le0QvqDKpm84ktqxV8j/Sigdon2nFTLZnYhMc8r+hQda91zkZFxYnILVJUz4dCFjPOI/uJTXjM85Le3cGgjhFsF5ZRbige5nmkaXg7ccSqxvlQbRMtmdiExzwv5UcckVtVR3EpLCK9KLvVUSRTpAxYx71qwagU3qVtE2pkRiv8mU14zPOKlmD3WjUDhUtj7I/MDTyN86yEVTCyxLJincLGnexlSyb24RUsVu5hZ1M1M4lRuS9wVmfH2BKqThccK6tK9hM7cKu3RT1G8loVA4UT7vJE2hVq2HacULyByhwjpiratEOU8CQg8C6kasnEPryCxcI9PHvVOo9mllj2DrLXkFj2zhM78JjnxXtFq4U6rBwkFqsLTHbxltQfIlcZyf7j7y8Mv+5hpe3da/3DakpguXLAQ2/vjqfFmJglzJg62MuWTGzCK1iszBk6m6qZaXytHOSKonjMQEtZ4DS2amITHvO8Mt51BlWz+YJ5tidmxmLGnDCx2Af+KmRLJjbhMc8r42D3Wr+uFhjLFcU1S04YBO3jMdKg2kig027FfmITHvO8cq86gzquFi4sVhTJoBpLogyojh2zDxf7qyUzm/CY54V7dbKpepWl8TXiipE4UWYsK0jKlszswK3eFu7J6bXOZyESy1WBWC0kzPBvE7+DfT7Zi5bMbMIrWCzcw5NBHVdQAl8rh+RIFYiiextj3DHZRvYzO3Crt5V70hnUP6w2BUuxKlCrBRxkgqUdxo7p6aIILqUV6BbO7MPrGC3VlD/Y1HFldWG5+sKCWoEzFVMI+Dc0e1YtmdiBW70t9e1Y1Y/UgS+8a5w3qmDEIxAqQ3HknKwuIKsOzOzArd5W7klfCdRhVSCwWDkki1XJDZ0YdRwG9rJVM5vwmOeVcbCzqXo19QVzj3mtHJLDUxDOaJUtmdmBW72t9OHda9UrpS94XCGoGbDH7FZH0c+S/cwmPOZ5pU/uXus4+xdYrhDErBc3Hb3nmTEW6/De2pH9xCY85nnlXnUGdZz9X1iuENChjyaPjCe/hV/3sND202vVDL5gYiBXAnJGi4mnPtkP9hOb8JjnhXt1eq3jbP7CcsYvZ7dYmNRzNFJCsj5R5I1iP7EJj3leuFcngzrO8gUWKwE5W82o7lfoBFGxn9iBW70t3JPTa9UMFBYzeCyMHDaqStswPl3aYU/ZYkY97ZYq9hOb8JjnlXvV2dRhVfOJ+csXM3uMUjrUBFRLJnbgVm8r/U+fiVY9K/2CP2ZmcgQVI2vGwLf295Zbgr/l07KEeOPeIWE1Vo7qnvmFV7NbuOfn6FuH2YnEYtSRvarobbPHKpuedu0zqiJ6VutWLZQznokveB2jhXt7sql6ZFJY9MiyxxE9UcZsvdbaMLRqZhMe87xwr06vdeiFJb566oxCyz5R9KpkOfst/LqHlbZ3r3UYjRS+el7RI2djUV2asSMlfVJCzNyDU5RARgHm4FJkTH9//LtpmN6AHH3os4ccLaq2mfEuzLjBP74FS/k4GPGTj6yYA+8Dbp10iIEj1DGzPRIb5zBLmSNfHd4Akl8Yf3thuNXbQjw8KsWHwurzJ941Thtmz1qOUPcOM6M4Ol9mTIlMKgxUb70+/TsW9A6Jdsxn9uEVLFbeq/YRkIRLFXgfsEMGZcxAU5lpFisfsIqxs7hCSCaOb4Z8Yya+4HWMVt7PGDEbrdCb0fE+4NzeBo5maCTx37lVuEhqmJ40ig1ET4ppNhbMyOU3aWITHvO8cq9IQSAy4453jdOG2WucfYSFNSLvoqrMN53VhlnxXB0BH/6RDT6zD69gsXIPMdMGh6cq8D7g1pHEeFS+QaWGXtnuegPUmzGxA7d6W+jfzqp1dahgJzA+lTYT/8BtOo+nX4Fx+CEZtF1XL5NVzSb24RUsVt4rfIqu8AjX8T5g0TvIXkN+IfLLmdiBW70tfWuNQeKKUyfeNZaZkzKjUn4J8guZ2IFbvS3oPKBigi+0e3jhfcBcZROxUg5VSqCX4mr7H/ybePwWd65pBTizD69gsXIPO7OqWA4YPVGkGhFvqwtSbkIBHl8CK4UJJVbRwplNeMzz0r06nkodn9CJlXqvUOP1KErhE+0yzH4Lv+5hoe3n3a/qSWgcEZP6Rnsg7lSJxUHjqGoTcHcvbJw1Kp7izCY85nnhXp0MqmKjMVb3Mayyx5W0WO1UqvRKpV3RkplNeMzzilbPRllnhhRzOt41RpWcYBKrLBnTFYobxup3pC7hsWjwEcXonSknntiExzwv3CuH6reWlZhOvGvM2SC0A+JRaCRY2jlqGJ80qV6qlsgWTmzCY55X+ivTrBfKBrzwPmBUN9ssf/k4w9scj8pKhVCoE0olR4xuTMV82LwwvILFyj3sbKpipnAhpUKKZtCKhEKpULRkZgdu9bbUtx8MqmKjscNVN1Uz8qW97NFuzFiqEEp1wqslM5vwmOeVe9UZVMVmwBFVHUlRAndpo3PMGFcRztATlcqPoiUzm/CY54V7dfaeVfekErdpS68oTKpwjZ4be9vJb+HXPay0PaPKcKRZy4l3jVGwOUTLGCN9I4+yBTMYPSsPpoy7/CaOvxUYbvW2cE9Or1UzkLitoLH3P5QWPWJ+I2Pqf9Magjs4PAPecGTlnQvVkol9eAWLlfcq0a4Wv/Ed7wMWT04+UWpJf/vFlyC/kIlNeMzzwr7lqVBWB4U7gaWiGZ6Ox8yqdsl5xLRjiMXrYqKR2GF2d2TV9fY3uBPECoNKNe+7L3gdo5V7iyqfeExZBd5HjAp6vNOK1c2PHUZHp3Q2m8+/PzH8uoeVtndVxKoVEhUWd18+lYS7hJwNohjLlkxswmOeV+pXbqRchr3thXeNHanpuTS+8fJLkCqEEztwq7eV8+KudlcH5TuBpTqeab1kOioo+0awPT36Gx/x3ynrQ7VKMp7Yh1ewWDg7wIltTJTpd+F9wPi1Hwp6DquGFBqZbIjEgHbtpZKjVGbEDPmYaBZoUeia0o5G+xeG1zFauLcWT14tqaRdeB8w9jKWVQj9hqeztOKyKD4RDWWMWNxxixtlJlsUyW4zbsO/xVUrn5pM7MMrWKzcQ1yF4vZjFXjX2OFJtuenjqJN0SduCf07n3y3KRWewNmxhbLlE/vwChYr33j/Qqr+WjSOP+mouOxd660M7Ry1Lypgz2XHr2tiB271tqIJ3NWHq1YilliqFXv8d+c5qqygQj1H9jiMpjJH5W+pmi3UtCf24RUsFt6rsyetuleVWPa88lRYnvhOfgu/7mGlX6KKNVR568L7gEUvKXtPGYEno+gmduBWb0v9zNHrVd0DKhxxVk1RIDpyS0Z0iQgJ2XtObMJjnle+nd7712HElViMFirqS0RuoTBqNBydKUfriU14zPPKt2Zwt4h2/y+8DxgjqmM+Rk2MqqRoJIuV4NuowqNLwCqb9nj7cYclbB92LgyPeV6azx9fftW9gMTyacmnqKKBRa8xsQO3elu5J1ubVXAlpAvvA27MkjMfmJXWD1X6S3VdqbHLGYyc2Ux8wesYrfRj3VPVXiWWzJQSvVBslzO/iR241dvSmuXoBaruERT2WI3GcPQtR9UfkXC4S86jsuxBJnbgVm9L9wSrIaaD5YH3AYsZicoukFkHgr1s1cQmPOZ5pb8KODuJ3Dt0vA8YI5XjEbEtI5VlBLOY5cjZz8QmPOZ5pf/ps7Q6rLQFlrM6FYkrZjZqZf7dDtzqben9OXa16rDDJbBcEanoWxWVez1d+dQnNuExzyv1cfpIUMfdhwuryiKiaojaYZQ7j9/twK3eVmIz+ulsVSe1+tQWTx/57uvKwbISsKjOLk55ZzbhMc8r58g9wq/qaD+JZUSgjFpWUcgieju2TtTnI7KwzUh8LhxF1z6I9vcfkYUCw+sYrcQ59IjAOkZYXlhGEMpIXxm5K1soWz6xCY95XrhXZ2RAHaMELiwjCUR0hYy6CCjAELw7/v2MAJaRwTP78AoWCzWGzp6l6l5G9ThXVKWKtlRVvUWvNLEDt3pbea96dFcdI3cFltFg4qnIpyWjw+XXIr+iiX14BYuFs4YzO67qTDmJRTadx9NiKhnf/p1UAyyfrGf8e8NZwTghClwld2YTHvO8cK/ODMM6ZhteGIN520yHnhx2nIFnhx4TFIInRcvWEoyI4p5XtkpmLU7swytYrMSKdKWDqlUPJJbKCLhDFyJHGGC172O171DsMESKPlfY49fiORpmYh9ewWLhHmLiVETJxyrwPmBDJ23Hk6OdbnoDVDV0WSX9qlisKhBnwkfk2Xdf8DpGK3Ff/elW/aQV5shRziJug9uxq+KSxerO+Yg6MqdKgnozvtuExzyv5Ix3BlWz+cRHL+xwJ4u/BPnk1BMVLZnYhMc8r9Qr7yNW1aOXwLIXVr2zyjIS2UcyUwsnER3jlxM2Uoad+YLXMVp5D/tbXuc9svwq6KknVkKZqQnM7AgMj3leGTu6p/oHJQXBUmIxq1Azg4kduNXbSn4i9QKBspdPvGuMReTaaEQjFvaekVW524oRs7bsRxaBzC6Y2ITHPK/sKXUGVbOROGAWFp/E++ASYs5YlhmDIutPtmRiEx7zvLJH1BlUzUbi9mRx9sNPESOS7ZeMOJHhpjIDRasm9uEVLFbW+J1N1cwUxtMLrqDg04bKJuXIdjsz5XTmm2jVxCY85nlF56EzqJqNwq0jOTIEPG7exLDxzjW+8e7Y4bqyClVLJjbhMc9L+fsbn5hWgXeNHVZ2LMGPPansYVX2l8i+m9iExzz//XtlSmMTs8Ee5MK7wnbDE68Sj4g0EQEvItdJ7Svl8bcSw63elu4Jvp3OMMsD7woPUexnJLohBbSN1HNmv4Vf97BwLnne/aqfhMLR/iTDJ38qskdG/KjI6espTmzCY54X7tWpulUHBa4LSyVBt0U8Ud6OqGj8d87UwiC1NtLQCbRQ0NPKet/twytYLNzDU6WrDopdClMmEqtVGt+fqMpKUlleIvsLX5YYixtbrhQehRKfVAqb8IF/JOuF/hBXKSk5nC1deFe4dVblJ/XIrUY2RcdfZvvI0vHG4AZD8vZPUYYmYpZaoNlnw+0LD7RrYwraDzTaGRw8U6RWGd/+NKVt5CMx/ONbsPDsUBwiWookvvCuccFVqPXjKKJHGoc7a5R1bGLB1YKl0SjhG3n8TeuZMTPEXPbthy+B4dXsFu55bLNhOjGtAu8aY5HVkBKzR5VeVuY1GVetgVYLJuPfB57lGNyJi9wqE/FElipAGDy4CIlOgGa+4HWMVu5t/7rq+KWdWH+ZYpYgZg8GK641TK3FgMrEUXEm5Pa1O36TQkE7UWD+LTY6BTv6lRj+MUxXnkX/0qr+6iQWX2abteNbUsr4tqm3BFWlCr9JBncGedQ0Jpy7/M0+Klz7MPoSGF7NbuGep2Q406wKvGusVlPXSsliQYA2k+DeE2cVrD5v2oiGK3buJbG35RmhsW3yEgO/SRhAGiNFfrROss1mouW/jxhVSVG2bTKJvujkoGGcedDOkcHOgEoc7lPO8B+2ZQvP+vzy69ALXFitiMSqRq2KNbN2p4rh1paAWQr8pgbEFFluMAq2df7H35QfKus59kQXhn8M06Ua93hinamK84l3jaPBjKOjqi5mWxWawbdGoFIezUJmv4Vf97BSh71QNDlVZT7xPmLcreAq1PTluKMyE0YGGHrSyWG2+UYzg8TZwlzxdGITHvO8VKv3YFAVm2+YnlZ2585pQtGy6OjNluxnduBWb0t12A+vVTHQGHdqQq/YHfqKN5ZkekR+cpb+Pg3sZzbhMc8rdWm716oYaIwMEmWXpQ2VkvJReRpHNe5JE27Ax6OKkmA/swmPeV6ptdq9Vs1AYoOjdTkqU2IWaKFRnCp5t0dGbz8myMZ4VCYT7Cc24THPK/X+OoOq2SjcnlbavOs9QmsCP0VcdRwYN+BjoSxH1ZKJTXjM80q90e61agYKZ8qGZcYFV2XMACc1iSNjFOOJHbjV21INzQ1XlVRh98S7xpiE1/6Bn1CbOCfOfsn4T4lPlzP+U9poFyxbQ8pTZbQjMDzmeaXOY2dQFRuFY1uUJ95VkTj7mPAkY2Q/swO3elupz1j8T0rcC5x41xhX3alwD0i7pYVZuow7obTrnQPumHCPmXFTtjELox2B4THPC/fqZFAVG419/skbKe8kXPHmjVaqGatTZ8PYtdl/3lIaWjKzCY95/vv36vJaNQON7Q9ZwC8f2bOSUQ5bwX/nt7+xyYafrmQ/sQmPeV64VyeDqtko3FbjmbOIMxZNyv5gnBszjt7IuMOYLVeLlC2Z2ITHPC/cq5NB1Wwk9m32lgOpkVJ1zPbvZWQ8+S38uoeFtp9eq2bwBTObrT0VPs1q2COmtza79kQDRWMr9hOb8JjnhXt1eq2agcK5seFRoWDiV2Zl5IYjYvobLA6QWalHsZ/YhMc8r9yrzqYqZgNuT7TQajzjQVPD9HRR8TaXwrixbKxx1ltQAT9zVFChHoSrIxeMVm8/on/HzUL6ZPRdmHGAfwzThWdxMquKpcbtwyrGHW9G+imc1VPwxLr9Dba8OGo5fUXFYu/MO+OytTP78AoWC/fwZFMVswHnhkl1K5f2YRXHT7SY0jBlXxSseF24Gr1s1cwmPOZ54V6dXqtioHFpnjzt0hZM4mkP1BFL/HdDKzfJeGYHbvX29+/J5bVqBgrH9vbzKFVQuaw4qhyvWE5+C7/uYaHtpv1hQfW6KvA+Yos40pfsGrPEDFAoogSaVZfWQzY29JYXrErYuoL0aefE8JjnhXt1MqiajcJtRClcjalgQEHh0ai9u214aZ6IGnosXN5BNWViFJ5zvXC3TgpV0dG4Pa/GjwSP1EX737YCKYmP7FULJrbgdo8L9wblQ81mLE4axcU+XISAF9Ydj9FYZEtKD+1/cVjJZfv4kbyA+1wt3I1EjyGQZI242IeLTKSOqKdGKrSrSNoYZnM20x9mdUVn0BsGEbZ/K/3K0FX4sC8v4JWsFmIYDmaJ6hTIq/3jyrRPwGyZvn+zYeWK9t/8txbp1s5twsP+V+7bxaZ+cBuvGlP8H75yG15xnONm2yDVrjx3LiEht94996twtNdTe+2X1s+9wz+G6YI+D0WgYsdcBd4Vjii8FA2toqNvi5VQKNIoYrRQyG78e4nh1z0snEefXqtmoDAq6ho+5TWU7UYdeAxYnYVPXCKuLo5oOcV+YhMe87xwr04GVbOR2FKGG2XaR4r+dzQnoiI/zRVHpVxRPjqaR7RqYh9ewWLhHmIA7JHNcuFdY4eZJ6y4p7CMdJFRLDJCaGITHvO8cK9OBnXOjCo3RPYqI11k5IpkP7EDt3pbiTXCjAuuOnPhXePSOsXkbBiwijwQEQkzO3Crt5WYou61TtnEgqd03vkB68gDFVVwsp/ZhMc8r8QUtbczBTqVufD+FVPUjvGUyXOclF9RCCqqAKM0HL3ZM5vwmOeFe3UyqJrNDKNKdUphjEIYog2ulkzswGOeV+KvOoOq2cyww6jlHDmSFaMNiuEIgzbRbf9fGFsi8cQmvILFSlxWZ1A1G4WxByk0O2lvP56m0+6bivBQERuiJROb8JjnhXuVI57qJfpCTrxrXPC0OFJV6WwwCiHQzm/GbK7suZfJhCmDYmYHbvW2ElfTGVTFRjHb8FQ48QkoGsyRtqYyVklp2A/sZ3bgVm8L5zLMgFSuLrxrjAcgzQQzK6H9u/cjY9mSiR241dtKTBEz4MiejvcBJzzl5cge0waQjl1qjDOtMDMK8Gf+wlVLZAsn9uEVLFbuYWdTNTOJ8XS2bMfTFViepstTdtmqiU14zPNKXFZnUOfMMKCpcHaTijCQjCe/hV/3sBJnFcxPcXR2cuFdY6xkXLg6hTrVlqfUMkpgYgdu9bYSf9UZVM3mC+YoKNPwMZpilGrH8tRftmRiEx7zvBJT1L1WzUDhgqe5jiNp8LAtcuSciAAYTvcv9hOb8JjnlXvVGVTNRmLcvGmT2AP7jtviGs9sE2MRMSCiAVSrJvbhFSwW7uHJpipmCic6EOenmNqgcWAVVSCjBESrZjbhMc8rMWadQVVsFMaIw8JqOBmT7/EM+AiXu6IKZJCAaMrMKDzneiWa7KRQNR99gRnR7SJxLFfBCy7kPoQYiNgB0Z65YXicwUp02cmiakpfLziiAPPqzMZFsgqeZ+AFMVexBtPAjbkfeBuhlRi1k0cdSKkLQ6ewfuOIVoOH5UdoFKosmM1tHFsnoj3+EBQy9QNvI7QS1XWSqgNDfeEozqNHBOFFtEdIkKML+i8YQIy/oUAOrObamujTR3unfuBthJYiwDqPOpDSFwV5JPcl9sXEi7tqyNQaPON24S5F8lbowEFc7OOFp7gMni9gnXNjDItBtY8jUwAHR2vpcA4Z6tHGWHyurMVcIn1ynBg99wtvJ7hyxt1P3Ks+fVc4Y3Xw+HFyLE+UlXqFOLmf2ITHPC/E3uDuQ7vt+A5ceB8wVbikDikEYknjYUikXHlEz4hIERHtMUTMoFocKxdPfMHrGC3cW5zWtsUpjqQX3jXOVFGVdsECHgT1E30ZQSKjQESrZGtn9uEVLFZjw3iX/8K7wiT6FRP1NCriQUeEnF/dzA7c6m0lZqwzqJrNFBdSEgkjxh2iGHsU1xVZMos+mdiH1zFaGTuwyvgWKQrnxLvGDk9bDUdFUEXbkv2IqaprppV/x7m/GWmjSMuZfXgFi4V76DOqHiRSBTrxPmKMnOAoE9x4S54Vf2LAzH/3Edkjo3ZwPyAdakoT+/AKFiuaYJnUEGgmceJd49SmX4eiropcEdEns+if9lv6Gz/aFBhewWJFK6wzq4rlN8xPF580VwiYRrqIFs5swmOeV+L6KLpi2yjSruP9K6YvpM3if/JGqsoSq4gWEZUyswmPeV6J9+te65wNHtxlYziyR0SuqEiUi/HMDtzqbSWurzOoms0M4/IwW1Y5kfiI7LECm7FVE5vwChYrMWyoOoGy5FXg/SvmJ90GnxyOCM5YThwSRvkkbklbSWZ3RIl9twmPeV6JVeteq2YgsQ+NQUwcRYdveWBFIRSMbyzzyHhiB271tqIh1hlUzeYLZiVBt/3klI9oufZEI49ACVV1IitXypZMbMJjnlc0xDqDqtnMcNway8wsM0ZB5e3AqC5RwtiSiR14zPPCvToZVM3mC6a3ua0yuvpDQkXvjguqyRSOrpMtmdiExzyv3KvutWoGEmPyYiNTRlzarLfwWVNj7E/Gkv3EJjzmeUWzrjOoc2a5DRTFHpGIeD5sOKJOYM1e4IlNeMzzSrxxZ1MVs2+Y2aQNFRM4Ahi/Cj5PU+wnduBWbyvxxt1rVQwUm61gFAvtaKjIKhkppSLMUJHEFje0ZGZfYngdo5W45c6yasZfMEcVt4G9RNqVU1FrsoUTO3CrtyUtxMNr1Qxm2GIUY8ofWEWtqSi0qyUTm/AKFkuxuAeDOmfmXOy6FCpSTUebXewnduBWbysxup1B1Wy+YO416Oh6Y9kkT2emx4WMT9PxZle7Jh7gJTxW4npPCnXgoy8KRZ6YzwsZsaYD0K7mTO3C0wRW7txJov6JXqCYHXvEJssLFbOmI9BEk6aW4XkKK3G/J436J4JYWIWVTobItCGwTLZjag2ecbsS2XvyqAOpbxesO5tI7MVzJ5woyInVV1Uwn27V1DS8gMOSomR3XTUPfZGpRzg0WPsFBXSrkL0h4k40ZGoaXsBhJf735FE1qeGC+oR4hDBT+Bhf6MA8FVcnWzU3DS/gsBQ/3XlUTUpfFOotUvy40LGMsiFza/CM25VI6dN1/ROpjWLgcjoiFkliyR1CdiJ8cYhLvBoyNw0v4LAStcsBhoaDZM+LfbjAuozGWIroahflulDhiiq6MBicExTaiTmsbc59mJYX8DZCK1G7J6k6MNQXGRvimIe6OGI/aYdUBYLqJk5Nwws4LESiWYwJdBwbduJdY+f9Gf/msQYT6+2rGEUZu4ifU+TcvZlNeMzz0noCaz6SnsOF9wF7jO/i/F9PNSI5hzEYrDXJa+3Jb+HXPaycLPWaU3WoPyWxqK8k6wqJekOyho6qrRM2+u2xV4M2M+dKU91Mx/uEbeoa8QANccZWec5VNxh/mI+9R/wbXkZajOc89sqoRnPgv6HfHtMIgVOOFmuAmo92XRj+804ceCWCCeveRhrIL7xrjHnTIR1xRO1mBK7ZmrDM9lE/mmqlhcAxMBM7cKu3xWqH5LUqBgqLep2yjqesTalqVmKP0P6GsaW/Z90wtBm5/pdo4cwvvJrdUmTKUZOx6rqWqsalqOEoa+3Jr0J9LaJVsrWyrujEF7yO0ZLKV3tCXEPzwvuAry9KfWnyDYi+fV28TaEw9rCBdx9m9uEVLFbez86gjl/FheWXkwzWFjfUc+E+a0isiZTaGxO491fsJzbhMc9LVaqOEa7q0U5iOSJ6rP0dCu+eyhmVnDlhzxV4lMXFYwysFUC1vAPr3tAM9ThXmviFV7NbmRP2nqUOvbnAoidSsw3bCLY3wnGrMuaFcQtz+/ejVpcplGtz1EHD3KVDD82jHq8p45sn38gJH/hHsl55Rm2C2Xoo+pJPvA9Y9GLiK82YhhEs6Rcl3AgJhvHEDtzqbSWaqXut855dYtGL0ZleY5BGxpPfwq3eVqKWuteqe22Fr54985PgN16wnP0Wft3DShRSm0VlZylO+MT7gNvdb12rY5wQsx6aqNUo6i3KGpczm/CY5yUlG9O88lHJiXeNRW04WTOubA4x1UnPmCidXea6URhnbrmGY8L4WNYPn9mHV7BY2HM7d7Kq3tVSO1w46vv8Jf/0ykuVu2ATO3Crt5WMbZz9BIrVv/A+4EwrHPwSVG6vZCxbMrEDt3pbymI/GFTN5gvGXqDNBdtMJdEXHiLqpSea+XE+eKQNeZkHrVo1sQ+vYLFwD08GVbORGM+HYrb8xnvaZfvIiRZ4yH2+WjWxD69gsZLx39lUxUzhjHUfSscRMdfLkDnRgv3EDtzqbeGenF6rYqBxwR3eo8ZKpB3ewNj23d62lmu9SaaVxix/fGYfXsFiRQWhM6iKjWKm8rhlfveGb8A2sp/ZgVu9Ld2T4wnV8WlJ7DFHvtAT8pi7TbP/njsv8ZgLPzD+ah9ewWJFSaKzqZrZJ+baGSjXlXhWHf3m8G/y2JKJHbjV20qVIfZKO/gn3jWmEymfaKSRGgJKB0Awli2Z2ITHPK+oZTAbOjE68T7gsmHNAvKKu/DJlw+9BdkS2cKJTXjM88q96myqZvYFc4/QZnspFtY/wdPQeLDHUYp3P1WrJjbhMc8rlZe616oZSIwpxInz+JSWgtRGkJoSkv3EJjzmeUVtpbOpmpnGCTFrwrTZXjpGaFx9JQ5A6hoUTuCPFk7swytYLNzDk0HVbCSm/NCNomdoAZE5109pUyitCdGSiU14zPOKMk1nUDUbhVuvmjnvT2lNSMaT38Kve1hS5Tm8Vs1ghjEcsln7k17ETItjZhNewWIlpqWzqYrZFGOuaHZHTS6h0SHZT34Lt3pbiWnpXqti8AVzbU08HMued7pxxZUdP92JnsnMJjzmeUV9pzOois0MJ0xTz3z6qzRMlCZJG0B6S0SrZjbhFSxW1Ho6m6qZfcH89reBN0fWw9lQzyTmQ7fk0oGRrZrYhMc8r9yr7rVqBhIb1G85tDgklponUsNEa79cLZnYh1ewWInPQX0SFJOoAu9fMUe/tc6jbIcOjNT3EHodUudkYhMe87yibNQZVM1mhv2GtXLsodEh9E8E+8lv4VZvK8pG3WvVDKa4PZxi7YcWh9YwudhP7MBjnlfuVWdQNZsv+IjMcz/FOanRkQVOY0skntiHV7BYiQXqbKpm9gUTs7YM/Sne81NvvUPxlAc61eiQLZzYh1ewWImTwZz+RLWbL7xrjB1qSeWP+hVC92NmB271thI/0xlUxUZhlBcs5chGEFoTguXst/DrHpbUeg6vVTH4hvlJBMwO5mWokp2QwhETMY6ZA3gHjRVdnpNOHbh9u+jVYD3JHHACjRTtkO2ZGoNHvK7o9Jye60BjfmEN5aLbIylMikRovQ3Rjqk1eAGHlQjxk0cdSH29YO4FL5z7vFBaEnNhj6kfeBuhlTt78qh/YuhIGIFHci1GoYQl5pofU9PwAg4rSkknqTow/HrBT5g6lXAI6UgxD9WqqTV4xu1K9u3pug485heBug5OztP6HYMWh2jI1Bq8gMOKns/Jow6k5heRVBISbbLkSD10SofKhBTz+CbM8WfT8DZCKzHRJ486kNIX1Fvk/KkyMUh2iIZMrcEzblfu0smjDqS+XrBaGHUd5ShueCh7ZHmRPlqlLqZ+4G2EVjSUTlJVM/x+wZ9LSJcWh3Ek2cH6E7JVc2vwjNsVpZ/TddU8vl/QPL54RyIb2I98ky85hE1kQ+am4QUcVjSATh5Vk5pfUIVlVDkhuhuOcIZnS1pZRrZqbg1ewGGlJurpug481IXB0crwbGmQjNHyL4L71Bo843ZFj2bDzFQ6gbzwrjEeIFKRnSHzQGUPiGwMqvf2xY7A8JjnhXvlMOM/0ynQhXeNfXt6MdMUU2VmSPayVRM7cKu3ldyqzqBqNgpjBk9xnGkhsi5U5oRgP7EDt3pbuSfEIFG204l3jYNDZRqaMKvsCpU5IdjLVk1swmOel/LQDjZVM1PYY0ZFObKUyk8ygdmLTAudLXG1amITHvO8lJ92MKiajcIFo9ePzKSw/VBYg84eUBkAsiUTm/CY55U8tM6gajYa516TLySMdnf5qPl6ZQ+IbADVkolNeMzzSr5ZZ1AVmwFTtDtnEDp7RrV/yQbwQ0tmNuExzyt5aJ1BVWwUxuDYxOogoVk8I+K/ZAPYoSUzm/CY55Xcqs6gKjaKGR5ApMSRtlubvaVEMxKVSaAyA66WzGzCY55Xcqg6g6rZKIzZANnwW94++o5lpoVkP7EDt3pbuSfda9UMJDYRaxNazsIRmQEyul9nS1zsJzbhMc8r+WadTdXMvmDOTPL2p03+OfMSo/k2xxlOIqNCtmpiEx7zvJJD1b1WzUBijDjLhmYnCsssCpUVIdhPbMJjnldyqDqDOmfmt4AqHZxVg6on1v8xk0BnVFytmtiHV7BYya3qbKpmpjBGH/csVYFnGQayJROb8JjnparfB4M6ZxZCPCPZZVaBzBKQjCd24FZvK3llnUHVbDTG+qCRn5DDmpc8w5tlFciWTGzCY55Xcqs6g6rZzHAyFJn+mTFwRf0r9hM78JjnlRyqzqAqNlOMm4VHzcuIg3Pm3UOdXXG1ZGYHHvO8klvVvVbFQGNkU1jJAw8ZD6yyKHRWxMl+ZhMe87xYBZ4YVMVGYdzRKBur58rMCZkJMclEmdmExzwvVYE/2FTF7BvmJ+fdTzGsdI7ZhB3PMi1EC2f24RUsFqvGE4Oq2UhsmpPCu2nTrAvJeGIHbvW2ogfdGVTNZobthhH9nP0mMypUVoRgP7EDj3leySvrDKpm8wUTGxRIKT7EEcssCpkJIVs1sQ+vYLFyDzuDOmdGb3w4vgRvGuYsVZlxItlP7MCt3lZyqLrXqhkoNm0VWtKh2G0w5j8S49Q6gMJqaioLR7Kf2ITHPK/ktHSl1apUVzWOuEJgtVpDmFZf2QbMeGYlURppHId4CsXWmU14zPNSZgJm3NojKeDAu8aWZr30VLLHWvVHcOaBOVDY48rNb2NLZAsn9uEVLJayEyIyi5wLcOB9wG3Sl1FGnHBETOq/AVcjkXoH1SrZ2olNeMzzUr7BwaBqNhK71BhnWqlmPIBqsz3LuD3RRLsDJALc2KexJROb8JjnlT6/oOICnZRfeNcYExyy50z6gKsyPlXSytNCSRqVuelR7lOb8JjnlfzYzqBqNhJj0aX2KFnRH3vVyDPmHFFtOm1D7zz0tlerJvbhFSxW8mNx1ImFqmOdeNeY2PAKNm/YayRacR2Ys6IL9sKsbqtaJVs7sQ+vYLE09/C8u1QF3jXGjYG22uccTOxNypGfiKrn+agYwDgOLZQtn9mHV7BYycvtbKpipnHrnQufuEjcZku4O3Ao618tmdmBW72t3JPutc7ZbNHiypZHo4DqDjzqm7xdLC/GMztwq7eVzOPOoGo2EmMt8cIFnTNW32qYRnecXBfDo7hkL/HMpsDwChYLke2RUjcKScSLi328SJku8MtuLzrluyWqX9+vImVPl0zleDnMZW4PnnK8cqdOJlXTGjii1pjB/zmuNkoTch/85zbgTmd//45gXj3ec3xPq7raP68ow8VQtGbnaelZ4RVlMlPkj9lQNhj/jf+bdwat5I2uUGa5cJpM+5M2JSqsKdkuHF4c70W7Be3CxcNz7qIIf6II/7Gas/JUrwbUj+boK5SEa80o4biijOrCrDGEt+enYwbsRjcsfbkpcw/wKjYr9/RiUz+46SvMYm8Mj2efKGfWb3wVPb1oqXxp09wmPOx/5b51Npl4X1f7xxWebDe+3hxXnq7428oeP9eQ+Dtpsw+8Mk61sHxpr74Xc+/wj2G68iwupvWDt74KCd+MsvGXWChVOVnmVmg05kEbxyrkFu231s89wKvY/P176nH+FyPF919419hbrONB2iqtp8J/p/fBo/wRiZ4jTlRXtoy/FRhu9bZwT/B1jxwDeuF9wCWd+R4b1sXNFCvmsUb3kZc1+y38uoeVtnevVTEYMOb/UA6VjwlzOWjE9yin2TDlgeBgFktgbPCJco6HbMnEPryCxcI9PBlUxUbhRLkudE4ZTHub0xYPHLDGuxvYz+zArd4W7snJoCo23zA9UdxnTFiMtjGzmL9haMxv2DTM+XuiJTOb8JjnhXt1MqiKzRwXzCkKlnoHzAPxR55wxtyhwi3Bmh6W1vmyVTOb8AoWC/fwZFAVG43x7Q+cL4Sp58lzHTmHOQ8ujexnduBWbyv3pDOois0MUy+ZItdckthhrmM4ajm2SU3yxQ6tmtmEV7BYyAI7GdQ5M9SMTJh0tnMOf8o9nz+c2FP9k+NtEC2Z2ITHPK9k+BbMSXBUB+zEu8YR4xE5PixgWbS8eSsw/3tbVqfCrUqmfQn5qJn53SY85nkpwzc1NtFxnu2Bd42TxfqxgWug4VmmOfLeBXvZqokduNXbSiavoZq6XMux433ACWvw0rlaxMkgbVzvnJudDY/ikr1s1cQmPOZ55V7hmaKn85IL7xrT2RjHP0Us25Fd5DxtjEFh9qolooUzm/CY55Ws586mKmYDxrgc7jEzxmRwfdTmhc65A2OKP+C8PpPPVokWzuzDK1is3MPOpipmGlOMfjrytxuzxDVpbcJYH47XFy2Z2YFbvS1liB9eq2KgMeYLcS5oW2y2p5upd4gYXpF5F0hhm8LJXrRkZh9ewWLlHnY2VTFTLCk3ptij18CzbXrq0buzVZL9zA7c6m0lc7x7rZqBws1Y2SKzbDOSstFZbwyW2G8jY4knNuExzyv3qjOomo3Eps1giuVal81t+3eu/xysRcZmZD+xA7d6W8mm7wyqZqMx5h6YI+86/RTHucQ2Yjw9qRdHTLEqhnNED/zRKoknvuB1jFay7zubqplJjCvS4rkHwRD1Yml2qNhPfgu/7mElm757rZrBF0xefZuRlOA4p72NKOUYUTLmXx1/j3JlxdEOkWqJxBNf8DpGK5njnU3VzCQOlOdw1HVElumo/dg6jBLSmXPbRvs0tmpiEx7zvJIl3RlUzUbihDVMzjzb9u+R80AYs16VYi/wxCY85nklS7qzqYqZwnhIUspRtxDf8iO2UrCf/RZ+3cNSJi/FviTPCbX9YtcXybb5WimmjNhgeaW8hYG0bMzcKjzrfuWu0UGzYZmX62IfLvB0G6Mujmw1PLjeOD2vX+ShRQPbmWV4nsJKRvTJqWqC3y+4N8gUunIkeOdIF5xRulHUF6f4yRbOTcMLOKzcv9N11Tw0qS1S/YOjLm2M14XPyNB6xT2PDZmbhhdwWMkmP3nUgZS6MBS557kGmrUUyMpdMuYsNB4hywtuSNlEq2QTp37gbYRWcoRPUnVgqC5c4RgeGv8jBfR4lkZRDZkagNs8rdTnPF3XgYe6wNlgr5iREhfW4BSsTjd9cJ9ag2fcrmSIbRR2R/2IuNjHi4De0pFnRB1EpMjehEsOjA4zn78RF3Cbp5V7gbL4W6HgOXGxDxc5M8MoGaYPuqohU2vwjNul/EsUzN+OUqvnxT5cBO/xgtVwgqe6DlyKt9DTKpzbjgeZ7T8ciXyqifJCNWTqFF7NbunN7AzrQFddRK74UI6LSBdnmpExHAWvmzi1Bs+4XbhLl+s68FAXaaO6Drz6bSMvXXCSFs4c2yjPGZRUMoI3kXVDpqbhBRxWMl1PHlWTGi4i8nCsCZYN0vVHkVIurHFkucmGyIu5aXgBh5VsRBygjM+cIHhe7OMFjtwmdB0LuuDkeocZSMbHIi84Da71540hndrMTcMLOKyobpw86kBKXdiIF5H0+7LHBY5hQW7NfWoAbvO0ogiBCwITSexQXOzDBT4NY1JiDQaPD4iP/DIWRGgXNPJo7qpVU9PwAg5L8aqoZ0Xd8IX3AWesq505shEzyCy9wcHxCRdH9NGJGOkSNGw6ntmExzwvnG9jiajiOIrvxPuAm5PiM9fdaF1o4bpIof1RYx854jHmfno1swO3eluJXaKFlw0cbnVe7MNFppTHI1K20JzQbXxkuuECz/LzKzhD2gz/2dQaPON25bSNpyQby0afF/tw4Wl84OpvEeOl2jSQSyUc9QI5Ys1lLvj2aUBewDNuV843iEeIdFx6XezDRcbM5Nbz0cIBsyDaf+HdYXWxIXfjzXH4R//lOgn8ahpewGFFnblN89qMjopSiYt9uIj46tujzgsezLQLPkZNuG9peU44NwC3efr798LiGUFyCR/jhfcBt/Vq8tQDOtvcJt6xdVhwPFn699lv4dc9LLQdg5bopKQKvH/DtF/WvBr0agcGkqUzWFuEU88djhxpS+a7zSM+6w0sVt6f/uSqeooaY00NXhtYnHSkQBpfDuuRJUfZWB07wlh3g8tRyrdhZh9eweLv30O3te4xxYzsL7yP2CKO9ER9Y5lod6PhjBh7URcxyybw23Bg+oqwwzzqBzlMUG74i/0Tw+sYLdxbixlbpeDy/8K7xjjvyRttvbU+2GAGBGHcjWstcYzDiSd24FZvC/ckYHQ0b4lceNc4ok4XR1xL7A3qfVn6cjzKQOetjHhmEx7zvHCvMupbpoCrrwvvI0bNLu55C+o3ZjqRcyjJ1B4uZbdhMFaOgTO4w9Yj3mc24THPC/fq9FoVA8VmIz00Gsk8Smkf0bA+YD2XFCmjDY81c+TMd8F+ZhMe87ywn2BwtWloW+3C+4BpVU8jtMfE3WILZ+D6toLd8oFRj51X8hH1DHlFMrMJj3le0W/AXQlP0VYX3gfcXvziaSXv2yP6KXze670JJ87IhsM91I6J3gFBrTDOTp34gtcxWri3J5uqmUmcQsEIRnrqWCq9BM6al+wnv4Vf97CiYUARdxRxdeFd4YCqUyWGPDKTjCe/hV/3sNJ2irSjOL0L7xq32e9PKZztiDL0JXG2u2kL9BJpJFbsFcvvNuExzyu6Dp1NVcw0pu2gLXPKMQq158gpyijIftAXTZkZgnvdrdwVpkDJfeJiHy5yYRUw2m/FLY7mmTHuqx6sRQtU0+Z24WkCK2cJJ6Oq6ekLXLDi1mviC9pgzcdWNW7KbtwkT6FeGy2sAu49lpLM0Na5F3gXnRXVAtxc3RwF9YuLfbiwFPPqWZ/DU9ATL/hDoHA8u5mP38gLuM3Twr24XNeBh7pwDr2xnllwGDSxcYmygMrZ7c/4ySnuU2vwjNuFu3S5rgMPdeHtFQ4VUJ6+/RcKmtB0pwbgNk8L98KjxGl7++ig6LrYh4u2UEKGXKs7k+Rb9PxfDH7F4TgOktxVq6am4QUcVt4lEhHMXOz7utiHCx9IEzay67jRBacZs47soa9AWqecfKTbq7hP/cDbCK28mSepOjBUF7iza5Ai0T1c86klKY9mWz5aNbUGz7hd0VahABwWcBUX+3CRKM6EFUOj3fDCHimnFLNkN87ndXTSSYkNc2vwjNslBZHOo2pS40WhC9ZNwC/EhI1FPgJF47BChcX8EePscUERZJzrLJs49wNvI7SSf01mCknQiYt9uMBqz+1pO372xeAF9dAxWvqzI9+SQusylwbFAwJjeDd8bhpewGElx/rkUQdS6gJnAO0x8kE5Ho60/2KPEAQMlCp8hqwaMrUGz7hdObnHMBNrKRhKXOzjhTwoV0fo/YIzLjEa2xou3Iuqaed/mZqGF3BYWHlaU/isrQq8D7h4PKej/ZOZDqLUkpzYgVu9rdyTzqBqNjPs8LwyUkWmhgti3rcU2pCS/cQOPOZ5ZSe+e62agcSezoL5LODAvH8w00EUGpCyJRP78AoWKzvunU3VzCQOradNmc8CgkW9w2N74NIsVOwnduBWbyuKzN1rVQwUTnhGuVGFH6UBOdF0nNmBW70tqQkfDKpiozHqFFp7bDfF9u8HFrqYgv3MDtzqbWnPGWMAXOYd3wPvGmeq6umOnXHUaOTNAZQfzBtv/Qr2slUzm/CY55Vd5s6mKmZTXCxV9aRFvUN9R44lC1i8OBteLIhWzezAY55XVIM7g6rYaIx6cqzNHzasuBhY59IbrICaGXMlxrElM5vwmOeVffbOoGo2CmfUiuNNJQwR6NhHhy0xJ/afLZnYhMc8ryhIthezON72PfGucdkoToDX7EIDTGiDBToXdodG5nc7cKu3lXuCZ7We9OQuvGuM+5HH2bfSspIaVErr62qJbOHMPryCxYqCJJaxilRb48K7wnFj/SravpAaYKIlsoUzO3CrtxVVRIwJSY4SEk68DxjzoTLNYiPWgig5sTYhFf8yH7pfSsdLtEq2duILXsdoZXevM6uapcKYd1YyYypatZEABdM/xJtksyaG4F53K3t2JI2AVServNjHCz445/1G3I9FyRveFiLNEmOPJBA8SGFR9rk1eMbtSk7X6boOPPQFVT1zdEIXHTFk+Zro6IjPs9KxFnCSYkxK2Uo1ceoUXs1u5Z6fpOrAUF1wjbTA2plaDUs2ZGoAbvO0ojJ5uq4DD31BES2Bj6gw5NxskQV82zoEL2hPTQlgjWJWolVTP/A2Qiu78SePqknpi2ioihv3zsdFZO7UbwfWbFJqWIOYlWji1A+8jdCK2udJqmqGwwWnnUbWTjRcp9eODZkbgNs8rdyL03XVPL5epGOEE8m5iSsTZs5BJbqZJlOqIXPT8AIOK9nCp+uqeegLGqCwOCOSshThUWjilLD4AtK1I/e5NXjG7aoCKPGomtT3C9aCxDg2PPzkCxYtoi/E00MtrKYjWzU3DS/gsKJhebqumsf/Y+9fsqZHda1htL5bsZpg7tAhlUz/qz+SMEbYRI6xOPsxub9TSs+M55WmiLDNZUqSpA5FooSDs74VFy2iT0QFLVnzqgtkbho24LBSw7LxyAMpCbpEeVknayiA1QUytQbfuF0ZpcYjD6TmQBQaEHWyhppXXVRTa7ABh4Xxu3nkX+UYBCCxrfJcCzegDlBZ2oeXRbOGAlhdiFPTsBuhlUqpjVQeGM6BKf9RxT/NAyz28laBH1HeUdmMZB4hTq3BBhxWqkA213ngIQGqTRXPsOoTOnGdJ2yzVVbUfLtgfj/+m4MB/hvOSJdRTf3AboSWujnG/3hD9WPv61NeY4pmIVJPcw1es+q+ULiuTXm4e8MZH7qsMz3vUriyKv2Pr/WUJvZhCxYr54Ne/8d7Tslq1+d43XpW972XRU9mo+1/PNf4d6YsFcvf2zHabhRmvmA7RkvVwiqbLJmJ677HddfPGet1+BT8fc29i7HkODU1GSKc2IctWKyM4cUmD/2uxfXdE7vv8+ws1opJnJhksN849/Xqo5rYhM88r+RGXQyyZCOvu57YXT9nh3U5NPfTc2UBFpRLYyQTm/CZ55Wxuno157HH9X3d93bGdNxgNPeeJdUm/8p79qI/9rtN+MzzSgbQ1ZM5D72vu+u+h7NH9ZhldUL5Bss1rc7LNdYg4lPSPqo+2ol92ILFUhZV7dWcZd9m0Qe76+2M5YRCTf7qIxG9st/twJ96W7kHL3VdHvtdd9e9Gq9Tm/U9nPvezphOE/j8U/TNntiHLVisjOHFJg9qvO66V+z1yjPR87nrBd1HNbEJn3leyoqtDPKgwOuvO5VerzwTPZ+7XtB9JBOb8JnnldzEi0GWbMR1r9LrlGey53PXC7qLZGITPvO8lMdZGeRBgTdeV5VeufXLNc+ERI/ors9zH8nEJnzmeWGsnELlIjWduK/P4Tpg3aqaBdj1hRY9nzv2fVQTm/CZ55WxKguLGCwzvq5Pee2pHy8/MUVf6K63cx9JH+HEJnzmeSVLGHunRzrsva/P4TphbTTKR+77Qsuez10kfYQTm/CZ55XnFdbsUop2BNr1Ka79YcJ/0sF9LEWP6L7ncxdJF+HMJnzmeWWssEYc9sPI3fU5XHf11fu665jtkKpMrYtKsny3CZ95Xnq2VwZZshHXfY36MqFLV+p3r8buVNpdJDOb8JnnpWd7ZZAlG3GN/VS5pYjzmhSxXKWiV3L3auwukolN+MzzyrMd6yt5x5UYruvz5bpW8cCS/Smw1FMqhpuSWKi0JzbhM89L3RhQ/0v9xu/rU17HMntOiQtT9CrtjnEfycwO/Km3lbyMA3XTlLV1X5/DdSCxMKdBCAV2J67u6PdhzYzCd65XRouqCx3U8acD5wDwJECV75CLIBwo7lUsdRWa9S4eEejcMnxPYSV/pTUSyUNXkR6I5iNSzy6F6l1QIty5adiAw8r4tRYtWfZrGZq3cNUwRYFICXsvOhdRyYYvM9OwAYeVu7dVDctjCTEJukJXfQmsQZzda6sHCfudKTD3A7sRWrqzL1J5qBomgSgu1lXK8thDqHwSat2ZTvbehzg3DRtwWLqzLx55LCEmQFdpzB/0dSdWoBvq/RtJQ1ZuMfozVsr2Uc1NwwYcVrIAG488kJIAOwmV2ULNDAtNtjg2bOpbOfVRTU3DBhyWMv0uHnkgJUFXqU3WcKOCgkrVrBPfdcwSUU1NwwYcVnICG488kBpAXwOvr9TmSE+sr9ySQMA8opqahg04rIxf45HHEnYSdJXu8ExIKWs4hUJRV1FT81Ho3xj7iGpqGjbgsJL513jkgdQAqMMqZ31aTFqqzVs9LrDLJ67mo7Ds0z2impqGDTisZAs2HnkgNQD8tbMmzjsSanquBzg0rCNxsQuPqKamYQMOKzmBjUceSA2AurJexRURBNrg91hJFvWwlgGJY2tCVR/V1DRswGFl/BqPPJAaQFePUlSqjIkEyfxUj4nU3bWxYB/V1DRswGElW7CVoMyPep496MtWonobZdv0DSdiGH18BCJCnJqGDTisjF8r7pnHSp89CKj614pBCgR4HiACkdVBZ9bgG7crOZWtamceSnhK0Ff6TMRda87nwXVkmXopBoH+DWdKWTLAVT1EiCL4qVPYmt1ChsidNZGHFIoB3JkWYyfwrkd431ZddK+fm4YNOCyN30UqP/JROrp92krEnqI4pzfEHVeYKtFEQjZp70Ocm4YNOCx0t2v9VfPQa7W77nvX9v1DLSmSaQlqbLnhAu8aD31aX23CZ55Xzm0vpWyWqlmhoA3YJ/TgPV5UHrvIRwyogLfcQqBXJPeK24lN+MzzyrntxSZLZv11KGvIwD0W/IGVatumIyqMuUR+H8nEDvypt6WzyOIpGa5kd12fwzVWz6x1i1DgWczq7prPAyOqh6tiBnv7xlrh7t0mfOZ5ZawuNlkwe7vmCoAOlcRVTYVqWsUbiNpihVYzRjWzCZ95Xtldv7xmwUCwwcYA5T1TVUGpXWO/xahMLY2FbLiYU8d+ZhM+87yyk34xyJJNf40dAaLxvJuKqrt6jRkRUfOWTc++v57YhM88r+yaXwyyZCOuk796GXuLVUoNH8mTulpbP7Kf2IE/9bYyJheDLNnIa6xIyydIuvyvWCsbalQS12vcuYrW844BZphwlXYZVXc98QXbMVrZJb/YZMmsv0bnEWWfuOw1+P+DHq/7SCZ24E+9rex8XwyyZDO7tqYpicV1wCeLZ71Hf91HMrEJW7BY2v2uDPKcmdOkKj74WuM1McDk5sjlmgTjiR34U28rO7KX1ywZ9NdYRDMdvJPSX0esQJ34tAyJRM4AF+wnNuEzzyu7hxeDPGfmsdK04tlz8thDnI8W6zVXqIr+Zt9FMrEJn3le2mmtbLJk9nLNv3JU+Wt3DNfhsKhWN4+oJjbhM88r+62X1zxlQ4UWknFcb0ljNXNSzYprbEBVGQv2E5vwmeeVSnYXmyyYDdemVTBPKl0q9qAP/Bsbu+sxqplN+MzzStW6i0EWbOR1iv9JjmeE3XXQAf+GtMY9+5kd+FNvK2Nyec1zNrhxmHzkClLIxnHNMlxlJccl8wTj+3pmEz7zvFKP7mKTJbPnNW9FK7zDr5KW1JuedsoCKmJToF1aEdXEJnzmeaX23OU1Swb9tcYMh6S4/thRGAcurOWpjrtXI+OJHfhTbytV4y4GWbKZXRtqY8zHl8HRB8aN9Cf/GP7W3cKo3G7zwOEVkGestYT11UMP6M88/5l1D9BHNHUDm/FZqrF30cgDJwlIcKr5/Yvp7g0E/jP3pD61Bt+4XRml5joPPARwpKSvs77oVMteCJF5cK1nwX1qDb5xuzBKN488kHoF/MvH89rDknilAfqzZCgVhKd/MqoeTP3AboQWRvbmkQdSAgRSgjtK3gqBEo4cpRXFQyFDyyGKQASYmoYNOCyM380jS1IDIPU9Z5jWe8dTXlIDpDE4sHHx4UiKJaKSIU79wG6EFkb25pElqQHQgzwkP4KoAoVIJ+wSyKg6MPcDuxFaGdlGKv+gS2fF6oh0qhBxF+FKv6FqR+XPSCPUQBijmpuGDTj89+PX8cgDKQGUxlSuRJUBo6EHUaS8Gsl9agD+zNPKWESqW09lHjpwDkCRklRp9wAWnyPqoLwaCUQgAoh4p05ha3YLY34zzL+4Yx3Kcm0YqOMGWGYQ82qeUU2twTduF0bpdp0HHhKQeteQTiRiy3L85HgAyb0HU9OwAYeV8Wuk8sBwDkzAHzhPqqgXKn4SH4FMDcA3bhdG6XadBx6vgFxbzpFhjSmWIi7fIu0lxkAJb4500QXgn7FCUEYlwNQpbM1uqS+H+w83gcpDE62ho9bd62jogtQ3++Ekaz7QDcitAJ57YZGcNqvFztkF1D1N0axrxgD+PVRXdlobw/xoo9QB0W1JdAsSrW8cTUsSHQUG53i+xoBaRwbucCBGYuoUtma30pm+PPwpoyx316e8xhwVSgeVtfNF34OuX8HMDvypt5V93Os8IQ9nNf11t7/e77tjGcnrGlNEkzOPc56JTfjM88p+2rX3m+U+sNh177c+g8cyRrwK9VQ4yx8jfRnWvWU/cQB70FjZO2vU8q+NdrE7KvZNI9WnOHhxijVeS2zxEefUcA9gLzr//ahq1MgGT70x7utTXivUuyd6imqqER/prtFUv9vT9zr7t/C/7mEhdoW5NNhNOnfXp7zWFjXZdO6jMYGrsDQjy579xA78qbeFMdFYY/Rw9G2161Ne41MxKvrladzYDYnqIWqUeRZmfmTfRzWxCZ95Xhkr1PuqSN9ouz7ltXHHpUHXoSyyo6L6VtqjpvPgb7GPpI9wYhM+87wwVo1NlszkNdY0pwWPxjZQZQVDDCIy0/yN1mvNUSEzmrmLCCf2YQsWK2N4scmSWX+NjcWipbmwtlib29I2mY6odzekaZDXXVQTm/CZ54WxagyyZCOuE+YAUG1WncqdEO3RX8eR8cQO/Km3lTG5GGTJpr92WAc/0ExYO3PgNT4lzYG/bEcrDsF+Ygf+1NvCmDSvWTAQ11iYptYiN2U9inXtA7MMyNKNjCd24E+9LYxJY5AFm+EadedUrFBjg8OYHL9REuqqKWfGKPz/ZZ1F1/jL9sEOUc3swxYsVsbwYpAFG3FN9bUPqhdgKE+Gq9sayk3iU7ie/cwO/Km3hTFpDLJg83bNb9xCMCn+toyjGvfEnvq7pIt9i2RmEz7zvDBWjUEWbN6uyWsqM9qkKc9KYwHkpGlL2WBt0HTQLlAfycwmfOZ5Yaya1ywYCDbYGDwZ0suWa9uu8SGaFLEv1wey0cxeI3s7RDKzD1uwWKiA0dhkyUxclzducsfjGvuXJE1vYuMi5jnQ7E1ENbEJn3leGauLQZ4zwy8weapFSW+dxL1zDG44Js4pFewnduBPva1UULm8Zsmgv8b0lxQUs0nYU4Equ5dr1OvTOZVgPLEDf+ptYUwagyzZiOuIVe0ph8oYzGeI/KTAs49yTb/g4HC/NakxkolN+Mzzwlg1r1kyEGywqF+tw26wEEJZafNvGEFK/NtG4X5iDY7k/24VPvS9MF5UBu3Q1HSpA6cEZU2OTBV/U4K2CGhqAP7M08pYUEsDnRwxbOAcQMCamoep3ydWvj0M/eStomr1muSZlsqgHdwiSEYluc/8wG6EFkb2JpUlQwmiQmDpt27LBJhchzGQuQH4M08LY3G7zpLHO6AvNRJDxxO4RMfZjk5/rHFUuZ+PZPHxi7ppx4Ck5rTQFyHOncLW7BbG/CaVJUNJV5E3TxoYazzpMWgRKwKZG4A/87SgQrhd54GHBFiS9QiUqWAtPTq8sw+6UwPwZ55WxoIkHykEYtjAOQL6fSZS4xQQb+Cw8ODBvYcrYD2QDESEOPUDuxFaGdlGKg8MBTAowFHcp94G6qLBDQhlIFMD8GeeFsbidp0HHgNA1aPytj0slablheWOBJoUERa7ZCjFHZkGwAoo/wxx6hS2Zrcy5o1UHhgKYD3pSanvrMW+vA0kbgnxEtXUGnzjdmGUbtd54CEAdgkq80Zaj1hS06na4hir7RUe/FJLFJWipZ0MZGoaNuCwMH5eoxk+nOrAOYBwICnu2FsAlerlFshYpgEDwU+c0iTBjU8DPYBv3K7oHpvrLHkMICJdLmLuNBbhVrVR9AX4E4qKN5pEIHPTsAGHlfFrpLJkOAIuAs9PW7oPEh1LFUAVkbnLL7fUCKqC4wZ9vHM/sBuhhZG9eWRJSgKaeeuDO9haS4X3KRDBfW4A/szTwljcrrPkMQcOC2KVBfPVwh0Zptrnlx4qiWobOEtP6KgfUc1Nw26EFirK3qTywPAV8EMZe0VqzW1KFT5HCiDu+DgupGx4hDg1DRtwWBi/23UeeEiAzwRtPNPFZ482tfEyzqO04j/z+Lhu3PtApqZhAw4r49d45IGUABqf0NqGCswNKO1c6ysQRYHER1RT07ABh4Xxu3nkgZQAuLOltONJabTY6sJwr1zBXYCpNfjG7cIo3TzyQGoAngAxtNT2I1B7VwmovY223PwcM3wKMM8Qp35gN0ILI3vzyL8YOiIVdQWRABeXx/ZymvN8ZCBTa/CN25V+Es11ljwGgDtfOnGVTkqmI+UtAuxuqz2dgkjuU2vwjduVPI3D/Sckyja5r095LbIBuiyBLltCWcwk4J7z1CouBJomKFx/h0D1dFUq91SI9F5TNqhLTV9mF6iy5/+PPUtDTA8O3TX8K1n/99+RSpGU4HiOfF+f4lpmIXTZCf0oSGaFMSvvVLI4OpRrpfB/xYOOYRQWOYqH55EK2IdBs19UqB3179/5wL+S9cp9hL0mHKtK2/Upr3slu1Cmd5kBeCgbuT9ouY5XPXjlXGFv6XGhsO1d5J0vjWUoyv9Xo6/uGrZmt5JnhRkSWBsqd9envCYVauJIhKq3U+YKpXOnHKdoA6vC8UcUuR+UVtj/IdVf6rtf2JrdSq5IWSMnxWrEdn0O1979J2nqcSTUr72aVaqAb4U1Hnemo2YOvduHLVisjOHFLEuW4jpgvV6qjV0ejAHrFtM32itke8VrH+HEJnzmeSW35GKQJRtxHbE+9KVgvVXDPePJv4X/dQ8rsV9es2QgrlE951VVoTYV8KDkvRlP7MCfelvKNUJFKj9V2/Upr8va4j+Jd9mlIlUodm/2XVQzm/CZ55UcpItNFszENTY/TLxvLtS+EyXvzA78qbeV/JmLQRZshuvya46GMzI1CiO4eZaQtvZSVSnxbWHNHMAeNFaySI5AakFK3LzBKYE5qO4fV+I3JiA4WEfYC4O7cEScc8PwOYMVlX+jlAd+Aqiu5qnBAp3lEypsI8OYGoA/87Si7m+u88BDAhIHWpa9eY3qVs0tSQXdqQH4M08rY+GpMC4VcujAOQBNdQn9UcW9ndJXCnV77iKqqWnYgMPC+JkDvyBUN+QenCPAPdgjRM5PiFTIiR+fdCJ9eNJDSw2rULdOTcMGHFbGr/HIAykBrCOpIb9luERW4hc69p4vPGx6BDK1Bt+4XRil23UeeAiAGlWsN8ZpHfR1R5cedKcG4M88LeXWXK7zwGMAWGOQe44a3NnAsqA1+YVAfNGwdqpTGdXUD+xGaCU/ovHIktQISIPJT1vMEVLK0OaQwf3qq3rjINXsxZWDuvWOd+4Utma3kofRSGXJUAKqZa1sVaoK3WsXyNwA/JmnlfyI5jpLHgMg2aVjPRb+6AtgukLQKpWqXSBz07ABhwXt1M0jD6QEwNy18jUGlp33gtZBnNoFMrUG37hdyQloPPJASgJSagVanlksGFUAzTYLQZJdpocGWEY1NQ0bcFgZv8YjD6QE0FQKODIp/NEjoE+EIHhQ+nZRTU3DBhwWxu/mkQdSAhiqnpwSv6AsHrtzBqoUtEo9qpT9diFO/cBuhFayLRqpPDAUwGqSbR2c6aXxE0ULbKkOFlFNrcE3bleyLZrrPPCQIKGeSPO35RTJtpjUXAQ7CIK7qKZ+YDdCCyN7k8oDQwmwr5Xm82wpde2VqjKQqTX4xu3KKDUeWZKSAPd5CuB0aHxpodKNuAtBcB/I3Bp843Ylp6e5zpKHBIFlg4YfHVhUXDsSrQwaYKnnvQOZm4YNOKxkqzQeWZKSIBoEnI4qZb+DhPcOZG4NvnG7knnSeGRJagAOH71cL9tGUgoGWhJL2apQnQ7i3jvEuR/YjdDKyDZSWTIcAHaV0pH0HxaTF5ROdNQjxal9VHNr8I3blWyf5jpLHgPALRlzUNlxqfSdSnjn1uAbtyujhMcbRvGXeoNTgibu9T14k/DegYgQ56ZhAw4rSlas5H8kQ5rQ6/oU11Jv1emweq1cp2VTmPsRuc2HwmYd6aDIFCZLp4MWPDNfsB2jhbENButGGoqkXZ/yGov7FxPEwBvSG9rxb7pr+F+xuqL4xNH01KPjvj7ltdTRdPqaXovUabV6vRuWQUy846WxFlLtAq+wVkFy/I3G8ihJvurKdfn/tmowbfHrLu25wb+P/K1jvS7ioBJ1u2BtAas1jB75d9fw/1zEK88WZGmpe/t9fcprlMimqlOOxx3t5O/hf8Xqkvq2fIup1pm/rk953cuGeuVPr6XqfzHim8D/Hwzr4rH+HGuQVcJfUqTNc1p2lhcFX6Puj18eCvspFQ58jaqkxPpQXGekSLr7GWf4PxvZShcIXHIcxnIzhgbOAQRq96Ici5eEXqlXMvVjJ7iSLOOgjlfa0b/QtH7UXITLVDDzD/8WoiuaU4fSAc9tMW5wDqDKNcwzWkmKmoeZwIJRqu6lI4NoKRDDP0Dd9B5aW2rGrGqiAMVbswZIPGOr5Jralzk6CdXczdTzgPnE6huuJG25Bbd7hNAD+H818JVK5C34PIyE/PV3AzZooYRKqleZ9Yo7eftM/cBuhFbUcdRO9uBqoTc4ByBkQlL/02uusM9B+TPTaUST5UraiUosqfAw3QPYjdBKNWFqjajp0KkD5wCETkYoaDRrNliNQHev0twyKRJ3QyW+dKJDT8N1HGnXR2nunjB1CluzW9HaBTonpuoHHTgHIBQ0QvMi4hUM6emnDP+SWOhgEt+wfLjKI4FJl9dJ65wB/Huornwb1BHXB6pxeoNzAELCJOIVpOh0UVnLIJJSwrA+n0aC20caRSVnav+QqVPYmt1qnelyV5LS+AbnAHp1j1TqSNlTH7yg6+lZ4IJ7mO4B7EZoRceG5WPKmp2emDc4JRgULb06pVf3yHgFXSp/rK5i7YFq/lRBssJfX+I5Q3T0S/JpZCAA/Et5r2jE2BsV8+7AOQChnJEqmG4kJEPsJNOiwhZXWA6Hm31YAvz8TdR8PlGL3zkD+PdQXfk2EmtCWDrXwDkAIb0ZlDNd8JLhzBp843blqU11qqzhh2QD5wginjDYg+9RXEFozcoZ3AJEQIcyQocjBTZ9vCIQRQVRFL+ysFP6VWnHcNksS81M59zg/0IQS5o38qarxOwC5wCExGdQ6HTxipGYWoNv3K78ztt3n+UPYQDyC1IEwvPPOgD/m8ZXfhc449bOK/qCGjgHIEQ5Um3TC5TE9yi/ICrOZmztoBDpVJse/lhHQFHnWPqGSRUQ7YNBD+BfyntFmU83RVTcT6CBU4LyhMGoAmu3Nd0ugW8kQ8+eQIFwQX0dDCtZevWQVAL1oyejCp6C1x2DOjeecYP/C0GsaGMb3TxwF0AKa3pdjJQf9fFOrcE3bleeR7iA0slTsdcbnAOgHTXNVVytJZFW5G8Y6y+j4uOpspHymT5eGYj4jVn6xPMakF7SqTbOoRdTYsmmpWd24AmYJc1TZNPTEOD/oViXupRcz4I8PBh6MNyw9CO9GjnM/g38bxpf0a3hzrGxVK6yA+cAEupfjfFVwCM0O72ap1dDiZ+I+PE4UtOm2hSE/HDr9vJmSwgSGcA2d8U0W8MqEwWwU41lHQ23S7QafxWG+05bz9ZYzozP8WaNEphpm4pmzejHUu09a4uHAvgVHPDIqLyO70eTqc2DAj7AyxjEx+j0AP7/Y/r/8zFd0QXj+t54b0ig28A5Alw40WQY4034XbAsxYaySsI/089/0wH4M09L3UmuR3senvMCiAcrtm9VhlONy/ISvy2ubjg3AH/maeW0vRgI2I88d9envHYJ63ZSMolO0ZX/z/Xc6jWpM5B8cHw+PLEDf+ptqd7O8Z+oaZfovj5fr7lcECoT+RlBz4B4JD9eY8vWwLsTdCxTr2f2YQsWK3V3rj73eex5f193vdtFT3dsLBYtX1MNRnM8ric24TPPi113iUEeetv313dPd9Hrvdwp5W+sG6/7SPrriX3YgsVKpZCrx3Ye+23f111P7jKdxvqTddZNall6qxicX8RYD+ze7cCfelupGHIxyLIfubzuepZ3vbex1U6tK2hxYlTYcGa6QrU1T3T6qCb2YQsWS3vwlUEWbMR1LNOSZEhRTgcxSdftKU9Kdn6ro2r14C5ZXSQzm/CZ56WaHpVNFszkNSqXLWsVkkeFsq57+aH8/7r01h7VuxQVStLS1Rz2jnBmH7ZgsbLyRsV3CNy087o+5bU+sIBe3QpARS2raK09UI3Lc8XJv4X/dQ9Lu1DkNfDGTL0+h2tcNhxH3TPGDeSDczysN6gt9g/OfSwTq/Ch75XxahTywEcA2i06dE2zr0UGjw5EzrPEGOqZr/eotab3j4ht6gS2YrOSf6xID1tzfxs4B4D0UAxIUSQ8FT4cN6djOaFhtonqWGl+ECeqEMYF+uamYQMOK/sM5NrXTn8NnAOIuOA/Ip28OmrIcQSS/DvM9rq0wSIqGe/UNGzAYWUfsvVpzUPTVgm63qSONpzKfRPGQESIc2vwjduVUWo88s+mtz0Q7Uj7RqWOi40mz7m/9N1HepeJEOemYTdCK922Wm/N/Gi02YO+H2eoYtLEIBKgX4Un8ZHmHFmPabGKnz1z07ABh5Xxa6Ty2LX0DfCN1HfdjCRfdC9RTa3BN24XRunuwJeHdnwSiK59Xdc5T8UKFZ+NeXpcU97kw0AH4Bu3C6N0N43Lv9rJiQ5ofW80ryn33JBaxdO5hj58ehjoAXzjdmGUbtd5aA0nQdcBTTT6ki3ADAkfHL26vIlUR4MOlrzmeEkSIUKcO4Wt2f33Y96RymMLNQH6TmuKlHcsRPWYY1b+jBJAZFRTa/CN25X9kANXxZELj17Xp7ym7NjEJfheVoh8cHmvrk0ymDV7uNFOdw2feV5RWnlKOD1YpNTAKYE9LOW3Kd75Q+lEASz/EovzO54+zrlh+JzBipq6scgDJQEU6knKyruqsCinl79yzvY16haXXAv0YYndBTj1A7sRWjkpprxZe1DBnBucI6A66M7yiT+5rjIufDoXUItvyvVit5IUK3HKzTqqMGDqFLZmt1RN8CKVB4YvoCqCAj7Kj8SSAbng7JeiIsSpadiAw8pbpxXlz2OHAwlwWVnr1fcl1kXxdatwwVTehwwoJdzXgtmWs8A5f0c0T5g5ha3ZrVQKKa+DYFjX0K7P4boYC1azlkGVaxP4vL0EWeYq/vH39zX8r3tY6q9XvWbJQF7Hcl1r43R6jV7HgZKtYLm+B2q5Qq2T00cysQ9bsFg5qcUubtbRmVW7PofrstxMjvNK+/Or/gyqP9Prz1HxnyXNM5CJfdiCxcoYYi0mx4m77fqU16iqTiG1FN42F+7mtt15oIiwj3xiH7ZgsVDV6bCU/W2opm6PzgdynI1Lv3x8OONnmg5yCsJWRIr3TMrjmf5S1b+kEg1KU3LiLw+wFZuVMXVUOcJ5juJG5wNhycBr321EMiYZ79wmfOx/bdxoS5LupR6dT0Tpx55rTNHcqiB69WMtD9M2NseYRt4zD7AVm5UxjZTme9A+cY/OKaq/BU3pwbRXjEUkqLw4d2PHLZS2D/rLJnzsf2Xcbv95ZPML4dk27nHqitTRIUvbfAdXr2sxvUT4wwNszG1hvDs2+cFtQIkSzfgJrjgVgHslIwqE6meYr11iCi8Rzj3AVmyWxrRxyw+m74jq95Uvk/amSYuBiHJjPcdEtcS0Tm/xzj3AVmxWxvT2nx9sJNKedpsDf9/eU+b5URGlihl+YwxRzG3Cx/5Xxs1TkgOm0mSBzgfCBDpldL1P6MyoIPqsuHGUt+MZ4XuAmj8jOihROPnwYrNHsBWblTGlAznqIpsFOl+Qa+lK2BmEUpSo4rLien7GKEaaMm44G2BAPzzAVmwWxlQfmO9vAm2x9uicolB/C4iiqgi3sw3XT8V7EH8Znt+fJQhKfTL+Bc39wcbcVsb7ZpMf3CSiWZ/hIuuIbIe8IzZe15hsF5OMcO4BtmKzMqY3m/zgJpHBsy17OGYa6L6MdMA/Io/p6SWmtwjnHmArNitj6rDkG5UyyAKdU1S/b3y3Uu4eIuyvWT6jXUhcWiNSXMH6h0342P/SuDX/+cHmHTFvzPlU1nKF9IIcIfpLg9qS8pfaiZjeIpz7g425rYw37X3ZoALFdKPzgRLmoNp4MT38jQx24lGWa8mXNy6+ky2fJ/6yCR/7Xxm3238e2YwI83BtMtd3Gm5kLFa1s4EOTsubEysVWB/1M6YfHmArNktj2tjkkdvAlO6a8shhplTZy3Km8xDFDyvw5x4Xxqbznx9sBoRPBqe4x4lReObuFO8ZliUyflZ3EYYo5jbhY/8r43b7zw82EpFAztX9a0MlzJ3hHRYTCSl+hhjM3cFalm8xzT3AVmxWxvRmkx/cBoS1NhzrrAvC/RbnjvpEQdn1hShJs8TLO4gmKUKHfYl37g825rYy3hYVNQ7lnlmgc4qYm8NZrwuaP3O4M1EQfcb1u5wlaRXOMRBx7e0yw3PE2xw/PNTZ+rbcVsbb47rC1S5LHTofCLXxyiXLbAL9orhQfJnh4UrC1Temtfisc9wJSLF8zbk6e5l7gK3YrIxpRC2yV6QZ79E5RfVuw/Wv53wMRYl+WHqcfyfYV6Ygvtusp7uNM/9+eYCt2KyM6c0mj9wmiO+hA+8hX08VLdVz9/bg3wJWICvc+I6yVLjcH94+4/3hDzbmtjDeVpF/R2mDPTofiJ5Z3qsLeUTcvchG3AnzhmeLFitUYcc2jiniTNprfir+8ABbsfnvxzQFbLShuHtiB853QMrHVIu5U/JCIo5YDQlZHbTLSGcQiBSdiXO3v7lx2ILFwhjezrNkMgB86pQvjggnR/IMUvkWilwrnzfYD9r+VfV4RwQztw570FgYxZtKlrwGQAW+na6sqHuA59nIYej7dIp/BTSDV1wJWMY2Nw+b8FhRQiiqDR8izVc6dD4QVTVTseoEdCTVQFVhafqZJMfqDqqqrLhu5qCYGdQ0c3+wMbeV8b7Z5Ac3iQz+ZmqmHSLfoUB3W+SOkSWm1MckIpx7gK3YrIzpzSY/uEnElVZVeNMkSaUR9q7AmN4inHuArdgsKUcbt/xgOiJP6NK5Iarzw5/qJRnv3ANsxWZNAXmxyQ9uv5DHd6bm7k6DzmuIYm4FPva/Mm63/zyyGZEmNVFVWVL7Qu14BTLojgb9kFRoiQjn/mBjbmsqKE+1cHVVIV3ofCCNzyVj+Ck1IKofbxTvF5fFdaIyqG9WegQf+18Zt9t//gduxnEZ4Ut31KuQRjVRH8XcJnzsf2Xcbjb5wW1EVD35UrVinzXjeM9s0B1J/ZBQdg3xzv3BxtxWxvvmlh9M31HVY+ITrEwETUWaEKsML52XFegt+rk/2JjbkjoSz9hMZHVHh84puu5L5Jbi9cvwhPjcUqq+hCLshwfYis3KmN7+88hmQDSzs+q4FEO9smtQaPVR/LAJH/tfU5VebPLI7SfCM3FlNb8/By2XRKNCq4v3hwfYmNvKeN/c8sj0F9KHIqXRpdXEc2JbTyQa8s8If9iErdgsqXgbm/zg9hPhObG19lVJJ/RxMsK5TdiKzdKYNjb5wU0ihdWwrL00rqhnsM69KekGDZyIcO4BtmKzpH5ubPKD2ztK9bmEShtf7yjtSdnl39SJMsK5B9iKzcqY4qpYUX+VLND5QNT00Mb6fUe6h0LVapLe2PrjQrZDc5vwsf+VcbvZ5Ae3XwhVNcqmFF6Q1HiOys0+3rkH2JjbmqL8YpP/ganDZmROHf4FDfrPQcfZRzj3AFuxWRnTgHtfVLMyC3Q+UMSZhrOufvt4D1EV1vOh1ZOaO6GGbDaPFw89go25LSl8sfCe84FzO250/kbmwO5Xrp6cDUoyqQETyj2p6vvhATbmtqQabtzyg+k7ulS7+MvgntbXryamqtUTyj0Z79wDbMVmZUypMZy3POvp0PlA3h2okeH9ealskqqnH1bgzz0uKSeb/zyy+YkCVjctU0DWzmEnbtQWxRpFrwGTMc1twlZsljJ02vM8j0/3AVHtVscd0BDR88W/qp2FTlm8I354gK3YLGh9DEkIDElqO3AOwNKpuKXdWqn3EkqwqQH4M08LY3G7zgOPV0BSIWep2AxtjReQbiDUXYNMq4tq6gd2I7QwsjePPJASwFNVH+5ZKWRdUp4lAplag2/cLunF6PzZaK6bdKPziainq60qN4l+qQ2kgmPuAbZis3RuTGesgepg9+h8IHnKJU/A8BmMHVjDy7/rEfy5xyVtl6Pi6c6xmqqh84Es9VsP4Q0FqtfhjRWIFZdCiTGoNNiDqxrAuXf41zBd0y+hDiqmq2bahc4H8vi0NkdVsSb81ehYVX/Y5xz3vKJA4cVKj+Bj/2tV2qidtLG1StqFzini743qyRlr3xQco4LFEFI/bNYaQxuxWargxmzcwVXSGjpHhOJgfGbxLsqg0pD6ih+KGRn9D3+wMbelamPMNPAb40bnA5X3Ir4VaoVE+Y6Q7w+ptpDRy5GZ+4ONuS1p8BrT/OD9jnx374V0oUAovr2hRfRzD7AVmzVd4+U/P9gM3FhtcSlYDorCe4FqdTWhNJKzJRnh3B9szG1ND3kxzQ/evxC2bcUUmKpAFCqkQU0kop/bhK3YLGklG5v84PaO+CmFzy7cHePvW2q5ZExzm/Cx/yXNY/OfH2x+IZxtl/9l+R76pUIa9Vp9hHMPsDG3lfF2pKEwtZLljc4H8pE0BCE+0S/9zKAtmnuArdis6UgvNvk30/IN4wm3i1VXKDQyg9ZFRDG3CR/7X9M8oh1f3603Ov8BJY0ock5QQRhT5CoMgypGKGZ+2ISt2CzpGpv/PLIZuB2ktEpV43qQTiDxW6GqBevex6AtEjH98ABbsVnSi3k67ze1PmVD5z8gfAO0ijcDGvQcP5Qfcw+wMbclTZQiJQavajp0PhFrAZJ/QVLPIZUYFnsYOcvVh354gK3YLI1pY5P/gamj0/9Q61PK88fhHFHENLcJH/tf0os1NvnB7ReiWqkuXjU/f+lg+jPdId65B9iY29I5Pc47yoLN8sl4Q+cUXao3hVVtrHsio6nKysFz7obedDBCI/PDO/xrmK5V57y45d+8dcKZjddXRUJ8nnlV9UMXMs8If9iEj/2vVeC82OSR2y9kDpzZ+Lo6MajraHWDRtRH+MMmbMVmrXLnxSY/uL0jjkJZUhrFWuku0mc8XxmQjGnuAbZiszKmVOHX4yo4C3Q+kKHaV6HeQ79UX790dXMPsBWbpaqejVt+MP2JsOGuj1po5+rvRCjphgjnNmErNktzV3zzlVkLq+RvdD5RQlVI5BMg7agXS1LXXMbReT6jiCdHOqha9R6jKAvLS12P5/LmyvmiU3pjqgfqzOIO9ea9Q/Av5b00V2688yMKiTyKo8xR62B77uFirhko9hOKsb5N8J7VUceXsZh7gK3YrM2HcU9Ys3qlQ+c/oUT58/5C4T9cfZzuS41IVV24JnRcWRBTm7AVm6Uxbf7zyGZA2P8Yjzpq7hKdmlrmZizu+xlddfGGzua0fYnphwfYis3y/MzgznIW6HxBeLc5VqGUVwQqJgLv2BlvkI3jNSU1rOUMjzcrN4KP/a/NwZANZr5lgc4pqr0aFOfI8zdsaff4qLNFrGBYUM30oE6sVqmKUL1S/jJURDavvAfqPFTrH/7gAv9S3kvzulZlPwt0PpCsHS/rynuKKdV7FpsM4y63roh2q6uan7TY9ppzyS4SssPEnAv8S3kvqMUVbpcqlFzlHpzvgM4QEskqMN/pP6MgXujZ53kHUz+wG6GVkW2k8sDwFRAPEldQqSoC4QYi1UCEODUNG3BYyZZBwboKlIjagXMCiKGltJVY6xxTTVQ+BWuA/kwkIUxNwwYcVjJsGo88kHoDnOmDL3I8TKwgEiCGAYWx5d8cj6impmEDDit5NM11HnhIECmvguZDEkS6d1Kt210Bc6fKspF/LyKqqR/YjdDKyDZS+RddTxVgta4g3CBRjVPFOVQM+MUrQ5yahg04LIzfzSMPpAQIlPFTe5aU+wkpaqUe5KcW4O9crdTyb76zJPIDRFzgaWtrElVNf3qyH2KZGoQ9aKxU829UsuT1A1DhDO1sTSmTiWmvCWa/DcIeNFaq+TcqWfJ6BY7p00PBO/4khgbUQdkR5R8db5F1aO4KNuS0Mr6NSpa8BpJHOO6NxtcksivBrA9nbhG+c72SW3RzyQ9m76h2xKA983pyXhDt6HKPmyHLT8Y39wBbsVnKG27+84ONRJoyb65K7NqaDjncfSx/ebxEIdHcA2zFZqmXRGOTH9wkMrRrq9RVz52zI7VAb3mUMsK5B9iKzVK+ceOWH0xfUZ13oKqOT3cZuQ55zo5U+iXeuQfYis1SL4nmPz/YDCjS+Q3XwR9Q8HTWoK1ANReaziFaTCLCuT/YmNvSeDdu+R94O8oLsZwTNiCZ/SuzeGW8cw+wFZul3PfGJv8DU1IqXNmhBakOvebmXpnoIsK5B9iKzVJfj8YmP7hJFHDX3vgo8m9lxu1rTHOb8LH/lXG72eSR208UKR80sv57zNQVGbciwh82YSs2SzUaGps8cvuJEuV8JlVrJNB7t6Ix+7mP8IdN2IrNUo2G5j+PbEZElYPL0u6JfubmjnnLXYQ//MHG3JbGu3HL/8D7wAwae3V1OZB3QzJvV2bjigh/eICt2CzVvWhs8oObRNhVXFl9VUSxlA9q37KfJZIRzj3AVmyW6jA0NvnBbUSUHVp/J6T/tvao9QwwS8QanmUPudAyprkH2IrNUl2AxiY/uI0I2Vz9b7DTqLKuPqUsZd1dSGbjDjnNIt65P9iY21I9gcYmP7gNKJIa5bi6unBmdBLoLSaJ5h5gKzZLY9q45QfTX8hRpu7VN8eh7s7Wnjo/M6pl9HMPsDG3pRoNjU1+cJPIUxeCVGtReas7JPPSZRRzm/Cx/6U6DM1/frCRKFDl3MO8IJmJ/sgo72Oae4Ct2Cz182ps8m+mKh6UNW4vZG5UpjuYu3jot+x+GeHcA2zFZqnuRWOTR24jwqe7q10Hf+bzDzH16IcH2IrN0pg2bnlk+hMl7JTjjH9BQ1UEEeEPm7AVm6VaIs1//gduB86WXc1FKCgQqp3ecJZd/lK/RCHQDw+wFZulfl6NTX5wk4gq5ruan1gQqrP98Vp3QtSPkBHOPcBWbJbqszQ2+cFNIk1Ma37iWDFCRDG3An/ucWVsbv/5wWZA9HaL7p/rR/yq3jH3AFuxWfq9YR9wlwxHcaPzgTTmE5Wbhu8FWXdDIhmTjH7uAbZis/Q7bdzyg+mAsBqUP+rzRQeqdeHq0wZ3F/1Re7Rhpkn5d7X31YXeop/7g425LfXra2zyg5tEDj165d5qmci6IzKmuU342P9SjnNjkx/cJPK4Z+a1l+iteomMaW4TPva/Mm63//xgMyB8gnsT/qmayO+KMHMPsBWbpTFt3PKD6TuqTxt6LqEC43xUKBGVRoYI5x5gKzZLvQwbmzxy+4ki7mG1aiKyzotEIsIfNmErNkv59o1NHrn9RAm1Lv7qDkqZFxcymqqQ1J1uGdMPm7AVm6UaU81/HtkM3LCuBR4T1H6JP6q+jBVxuph+eICt2CzVMGjc8oPpL4SqQeWTvZDp0FVJ562ujox37gE25rYy3jeb/OA2IFxllOVIfYIh04Jq5YuAFd3qeqQh9RLh3ANsxWZpTBub/OAmkQ7l/grKX8gQqjn9WG0hHNxloyDXIRnh3ANsxWYp74Ry6xX3EO7Q+UCKssh11cVjJaaCeBV9YN0ahWJi/kt8npX/Wf8d7pKhWP7FZo9gKzZLeSe494dFPjjTo6HzgaiTJWkOEGFDPVQLpIooJvsWoYx+7gG2YrOWd3Jxyw+mEhnKKXdV7e7o+6413ApKVO+g5tLgs15Z7V7inXuArdgs6cvx+XJgvl8W6HwgqldTvuKqhMduhUq5SxEX8S85Jtz4RqSqNhQrMB2Bz22bTffioUewMbclXR/OO7DwDCvpGjqfCN/C5YVRz2YPuoc8a4uojhOWi2ZEPUp1jXduEz72vzRujU1+cHtHVYGIb1oV9IUsoao7SnQP8Tt5iHDuAbZis9QnCfMvVaxqgxudU8S8sQqPKpOPIFA9VQxUJ4X3PqiqR3vW/fAAW7FZOlPG9YgOtnaEaOh8Ivy+dXR8VjhUrOyrWf6wAn/ucWnu7kjLZ7gC7o3OB6K1sa098ah6X7kx6upM1twa6nHhW9H6Oq/2+N61V991qrxgjav11vC9a3WtNh5II6OvWmxYd8Cq5F+Y9Qj+D8b033+/ERM2UQyDk8wOnCPA+Y9WlPkZqcx74ciA6rsqejrGgAKn8tM7OkBvkeg13ar0U4183yb6Fc+dwtbsVsa8kcoDQwEMrj61ol9GDHSrs9ReBjI1AH/maWEsbtd54CEAV0XS1Fk70nZlcf0EgUgd+ngEMjUNG3BYGL+bVB4YCuAx801bw/eBRteWXrCRdpC1oefWBfjf4L4Pnu0+Q5z6gd0ILYzsTSoPDCVwVLuB9iVioJLZwdQafciQ+5QMAO8qzR1jZLxTP7AboZWRbaSyZChBrWtNuoVEDba0p6NywX1uAP7M08JY3K6z5CFJHaj00+molQwRBEq9aCAwd0PcwxjI3DRswGGhWtFNKg8MJcB9L524LCSVVKnlP8ozBRlGmmPJqKbW4Bu3K3VSm+s88BBA47rfHJHvA2xkVQAzNN0n7qBPlOlBrctp/sPlu8cQp05ha3YrtVUbqTwwFMASw1p1zuEmgeHkPxnI1AD8maeFsdD4sDQ45ck9OAdg8DVEdeIRKCoqwd8WdvbA2vGBuVvi/gxEhIizBlzBpYefHsDW7FZ+f41hHugKwHVkHOWHJZo7GOMqoD8jlVXChW0LUcQ7NQ0bcFip7dtI5YGhBDgpNZ50aimi1NJYOhiQQEQ1tQbfuF2qgIwOsJxt7sE5gKS5M8HxYCgCmRqAP/O0NBbl/WIwySv34BwAnUqUx0itQUpPFV/P4HrUQlGPuAb2E0+wH6WVisaNY5aEJcDS33jExqdDlOVlYqzVCqmeVqw1IERgU4PwmeeVer2NSpa8JIhc96GepGFuVvmo1sKSiM5ATKr1MvrY5uZhEx4rFXtpO9ZQ6awOnCOgPOKaT3QYQ7u2tf5Vz18EOrcHXzleGanGJEtaA0cqz2QtS2MOSw3dqwR54N+juUX4zvWSeqdxyQ9mEnEdEXeddlOVC94PuxHfDZb+3RWRjG/uAbZis6beubjlB9MB4d6DdbWGrcU5uvW1YrDDSkzW24r4M3N9RmcutQ6WjH7uDzbmtlT9lDpdY15rFuh8IOqJbeNVj1GgQOdYoaq8ZIQy+rkH2IrNWkVZzLA8PNe/vNH5RFgf0Kk6v0iYRWiTfYtpYDq1CR/7Xxo3ZpMq74bOB8IdR8xR53uBtETucBK9xSSRjH7uDzbmtlQBsTHND95DFJry16teBnPdymfevkQ4twJ/7nGpUimqUV15iBDTG50jUlR1vTyIXWUaial/493H9MMmfOx/6R7GE1HnI89CbnS+IMyp9LVCOr35XNVa4MFVQabWBr2Qe4lXoCGmuXf41zBdUpg2pnnkPaCESk3nWSFDutfCLXmB7DPeHzbhY/9LVTUbmzxyG5hSHoCrmywK+3liZYWXKH5YgT/3uFTJsfnPDzYSaewj4WKrYIbfTZ2TKUO1FPxVoU9EMbcJH/tfGjfKhqy9Ejp0viCPqFbi8lQ5Jh5V/Ut1TUJKLzHJeOceYCs2a2N6ccsPphKZg9BVSZLmT4lzeYaY5lbgzz0uVQdt/vODzYBwV7OYrlpozZUl3njPrcCfe1wam+Y/P9hIZLEvuDdcOUc5RxnN9qo2Rrn2V50syoZUtX55MPjv6vpoiHDuDzbmtlR1snHLD6YS4Sq9/ATqrD/hPrE3rKpVkfLwda2PKSOc24SP/S9XnfQuxLvOI6HzgQKuHb2vNSEOR1Fwh5chColkvHMPsBWbpaqTjVsemY4ITx988LUaEWY3eK9q5TeUJ5eYzEuEc5vwsf+lcWts8sjtgbCuC7dIxfsE75rak0xrehIFfVV+cxSTfkb4wwNsxWatWufFJo/cBpToiZJi5Y3zVV+zcBoKNSbKrtcvEf7wAFuxWauCeGB+N+eGduh8ItyjD9rW2oK4PgpHEIhzQ2uFp1Srw8xtwsf+18YNPRqXKu8LnU+E8/xgAn/DlDETVHyLQkY4twkf+18at8YmP7hJpHAvLlie2WqPz+WgOU97iEKiuU342P9aVT704bgSeIfOJyI2jvO1tKcKGa02kyM22r/9uw7Bn3v878cm0M+2/BXeCh04HwBTBLheQkClYiFAKayB9jM07/MGiw8PfYQe0Exhbho24LCgxo+40Wo0ybo7cI4Ad1kNz+CTTtQ0jvU7ij5R9I3PDcCfeVrRjDcHWXqTQJCSelmhcO312kLJPTUNG3BY0Tw3b3l0LbTrPUOpEO6F2FMD8GeeFu4rj2kMJtCrpgPnAAL1tuJaRMUa0sWjTfpOSEOYqtRQqAt73aGQePZyV6kQ7pTc5XZBA46zeqbc4P9CEGt1XHCn++p/eKPzgeSJlDytkueI8vxVnlTPPcBWbJbeNteXlodvsAcy72DIFLife+JVMbcG37hdGCVN+RRclLcD5wC8olvIpccdIElJut1rM1BUynJ2LsV7cHbp1Clsze6/H3NPpLSnN0oHzgEkS/3e6dQwUBEPzcURAtaYxbzJ8Pg3PYA/87QwFrfrLHmMgJLLaNbgqYSJTvQOCI7mpp4+CbTBWwt4iEDmpmEDDitrEpQeGy6314FzBPTWU1S/sCzDCdASs8z6cT2Q+Lt3WCZKR3o5zq3BN25XRqm5zgMPARR1aNZ11dQDqlBmFKV9S+5Ta/CN24VRMoqa+1KLiw6cE1CXkwg8HYuGQF8312sKAQtiGRbJBk+PXj55mZuGDTgsjJ/Fo/XyFqe1+Q3OAWBFW5yo0svmINeB6lmEpDgQ+oajRu48DZpbg2/cLozSxQOfth04BxCoqg/vtBaAEkzePoyK0s4i6Y6ipkbe9dWvqTt1oKxFGWIf/NwpbM1uYcwjrkctbhzmHpwPEAjQvRNJns3lKwuIBDQHgkDRjRQ1VVhSpF+KCg9f7UGpHXM/sBuhpQpPWIrKUVuBDpwjIOW7T1yphlIE+HUXuZunT64HdI86/InUulZz07ABh4Xxo4MBd0Ra9t/gHIBDumW9SN+ww1ekY/lDovvNcnW7mChEPlScW4Nv3K7s8GCxXmcOqjR1g3MC6NsK+AU5WyvVYKWVsjLnLTiHwCguTkOdZ444t1arXX3OYaUmTnOdJQ8JsESZclyPrjxgSGDIVXt6kAw3MaNjZhHI3DRswGFlL6W5zj9IldcUguArcA0kqunrHFdq6LnPrcE3bpeqDV2us+QhSR2sMqRJaaLjThc55Ru3g8qfGa60giW4Cnc3BjI3DRtwWKk21HjkgZQAivYVU93OpWaiMZgH96kB+DNPK+dDzXUeeLwCPoHBLVZ/cNEd3Wkyy/sJSSV+dDhLSk4ugSSimvqB3QitnByReFLTe6wD5wCoGqmvL6iAr36vatWUQB3fOESWv7FMc24NvnG7Ut+m8cgDqTmw+ID1VnNtFMwF85rLV4hApgbgG7crNUma6zzwGABqr2wtB4WLFe8sl6fgHjdcRoAqMHrjn4FMTcMGHFaqjjTXeeAhgMe6zD5QhfpEpQF94AqCCXUOPtQ8Ourk7a/84oP6q5haTaWPa+oJ9qO0VAeBNDG69mO40flAFl/04ahndRrnkz7W07kD3+4+uuPl3/UI/tzj0tigqjTomvF6o/OJ8C4IRtcaDcdB6OqIgGqtq8uCw93qcNTMLhnhEMXUH2zMbal+ROOWH0wHhIXIgjUX0oSYTcDVUbmb3iKc24SP/S+NW/OfH2wk0lj5PFx1KDRuigdX61dEUsAZzqQ7olW3xnCIae4BtmKzpLZobPKDm0QW5wnB02yqMMV9imBrxYqI1fOCZSX6ENPcJnzsfylvGbMbQqh1Vm50PhDqa1SItddUJN1mqPV/It0ZXmvx7/yLlR7Bx/5Xxi2gsiiUWRfxvtH5RChiioeu3zc+swu68hHxCR6vrHV8R4boax6no8/4jYnzDETcg+6HP9iY21KeOJbOi1e1mhudT4S/jHjUXAfqeh7uvkjINNXeXnMr8OceF06C7rO+PBz89UAcTw0HV7jZZrhzWcSCKahi0qMBAeAbt0u/IDx48i7V77Ohc0TlUXPQQuAt307mzclcRJEl+sMDbMVmqV9V45YfTCXS+IT2qdZRcYmymlzNShZ5Y0P+l8iwk9HP/cHG3Jayexu3/GA68DaUSVG5Ybe3guKV1SSyc4bMHXyTqqtDUp99NmSRyZGZc4F/Ke8V1UjLwcjvCRkMsNex0nyHDi15+iY6hyFApTmDRfWA4t+qTO+Y+oHdCK2czePrVFsqSdKBcwBY5bqs4agKdiStuHbc30i0URFdUESzGdm5RzRImjmFrdmtnOc3hnmgKwFr2fRLT5W+JYoIcWoNvnG70pepSYzzoDcWoJcly24XfecK2flDtlHpQxTBcyCJVdJTBvDvobpWG+2qI5b/Z6wqNiDMOXQs6CrrQz6FafVi+lo6Q52dvnbRUAFK1sqae4d/DdOlPQa89/wR6hq/ofOB6AXkra91Rw8+0qjZJo7nV4zkHFnWZxkqq4i6NmMFoG7U5Ij+4An/B2Na6k51PSfykHYhQJ+dMWQjiszCvrNM/9SZm4YNOKycOOImjHVUYKMD5wOgPjXW7/XAXQZ7NSCQNZBl9eK+WvRQm7sva04b39bSBs+cBfy76C5VPGt7XPmx4zUgsTeGjbzKIiPxCsZhN97Qaggit3DVwtN0fuP7CpavHmArNktjSqs7VTtK3+h8IOtoHVh7b8tVoVyzydX73CZ87H+pilr7pvLje5NIfsPUCzpYxW8UsZoeYpLxUhItrdmeHnoEG3NbyWegBZqnlkIdOEfQp4WJhDHqFV8mYaRRD4qnwS8LNLF069bbYiUeHPVE5WaTczrwL+W9kt3UCl/koQqGAIKHYCi2KKYG4M88LYzF/W1l+dUN3yNPbbq8CnMEBn1arFiTidWa2LzofxVzp7A1u5VM6+YtD65ftngqw5d1cN2ImBqAP/O08PurFWmoJ2AHzgHIx0B/u4ibQtS3mVqDb9yu9QG4Tqrz49x6QP0JtzxjHWZnYuZ2RNoX52zJXx5gKzZLY9pUE/mpoRiQUFv03Ib5r5xXiDnHDw+wFZulMW3akyzQ+US9/2F2JmduYm48aITmHmArNkv7YE2vl/9nVO8NSKjQpH5KMB3WG3ItIs4ghxNgufM05wL/Ut5LWrKmXM3/M+pYJZKaS8lGMpX7fnOb8LH/hX2sWyWdpWR61E8LKbCkImnKrdNedz23D7sQWVIyNw958DciyUzu7/bS9F9W4M89rnTqbAkgecymEaDPc+hl+SPJYUtcbJf3By4yWWfqGLZnuJTbcaV45THfqwcik6knNR5hjcdNfeGxvmRYSlj0wznNGYx9btmUBfy76K7kdbXExTxkMQogsvAEKUEXC1OgkozziPpk0alp2IDDSl5mS7XOjyT2Doj0bJGFLBgK7pZqisRQsyUj1hfwXI20y4+fO4Wt2a1UP2jlKfKkVgWBvgqDqM8g6YpA+oMneTJE73trdej9mIfTHsC/h+rCt3GXBMlDfRABeh6SIc2WbBUkOWpmaTipfGoNvnG7stvXStLkR32aDmCdDOzcax+kBN2+0KksgSqq3Uz9wG6EllR9sZb0ybK+jwSCh2AoC7j2pSNFuSZRyGnqB3YjtFolyuBrNffgHEFfIUzK93td/tQA/JmnlROSVjkuD2XkJOirzfWuBcMhewHPMo22+mmtA7ABh6Uqb+SA5ngdOAcgavL1rgVDebrTn/vwIWSZYcSH6R7AboSW9OJ0UsMV6kRNyKGmJpKqpSN7UpKuOOkSJ7qiKOfUD+xGaOHNct8hebxdeiDyksQTWj67ReXg/vcifklTP7AboZWKx1QG11gUJHXgHADVEdKWXpGBcsEKoBPxt+M1fuD1nS7K3NbS+Vx4mO4B7EZoZW2Ehe5VpHqpHTgngKXWWHtcJS7RllBroAIXUrwA/VnCOYry/PZI9G88RTX3A7sRWlGqNlJ5YPgGSE8bAx0WH4o/ocSLg5IZE91I5d+oHhyPeKd+YDdCS9X4Lh5ZkpIg4l6EVlxwBufNGAjvOFAl7gr6QObW4Bu3KzX3Go8sSf0AtDOsr4YsmhN/jjGQuQH4xu1Kzb3mOkseI8AZAs/kksGNxfLJ8aDbg7k1+Mbt0igRDyq324FTgoS6vEvrkqi5XX1BFUBvK1MDsXcgfVQi3rkf2I3Qyn5wY5gHuhJg5RLtuPiixUdH+eTogE2PEKfW4Bu3K6PUeOSB1BzgdAq1przhTElknrZIypwKgXPPqKbWYAMOKzULm+s88BDAEKnATWVoGqQ9HzIJ4Oih7Fx6BDI1DRtwWDn1aqTywPAV8JdKGaFcep37SRXAB6T0uAnhGdXUNGzAYSXrqLnOAw8BHG0+HdSpN6FT/MQ86AowtQbfuF058a48KNnpBucI8JzYqHrgRotyxU2hsLfMJJAeiHinfmA3Qisj20jlgaEAPkTax+BnD5Zxu0CiXD7WmiUsU9QYihCnpmEDDgvjd/PIAykBAm3EGVcVT5baZdVqRBVxr0x0jKE845oahy1YLGmJLlpZchxBIkCuIx3Z2KrUUZr2lrnRb0PHI8y5ddiDxsIo3lSy5PUDUOkr46r4qQJmr4/77ENGNrcHW7BY0U4251kyGWgdROtK5de4Yio/CCOQfgmgR3P7sAuRNe3kxSw/eP5EmGFvas2Ew6Aa3/gYX+KbW4GP/S9VJaVmq2V6znVAGzofSONz2R62VltEFZtJtV6tpfPJWKtbSjS3CR/7X1OLX2zyg9svhBsdWOTBvCBPSfBHrVcrkTOpi1dGP/cH/xqmS1VfGrf8D7ytYlEMM7XE+0KUt2BVrdJ4obcI5x5gKzYrY3qzyQ9uEjniZkJlivskVrtXJGKa24SP/S9l+5BszUZ+nt3ofCJcrFlfK/vSLqa9srsqurK7cFfKGh/frHQIPva/Nm74LPDWVN4XOh8okOSy5heUHzxy84d+iUJGOLcJH/tfqkjc2OSR24AiaQCjqZU+sEKvDVfFiopq7VGsFH/FNEQ49wBbsVnLgry45ZHpT4QqStT/viCFrefKX+rwjPeHTdiKzVId3uY//+Z2JMyQcYer9WkCyahNeEFYF6uLoo/phwfYis3SmDZueWQ6QcwNlUPKKc6Hw5ckIb7bDOcA8DtSRvjDA2zFZqm2cfOfH2wkovx3p69K6QJZnIU55fwLkjFJNPcHG3NbrrdF3PI/8NaUN2VqbrzDubPT/i2KuRX4c48rY3P7zw8276h+b8TUcsYaZg3iZyEIVGPCWW+JKbxEOPcHG3NbqrfVuOUH03dUY8JnvfNH/SxRvmCt2kB71q7Olod45x5gKzZLY9r85wcbiSzVJL3m1Z4y20KtfBm4MWitNYKV2PHfHW8xCTT3BxtzWxnvgLNlf3ja7enQ+UBRYQIs981WGiuq4w/CMqK8zMS/Ba0oHzbxOkaTxtgl9WazR7AVm5Ux5aoA+JTJAp1PhN+i15xHXKJApPgzKumNCcf2GaGM/ocH2IrN0pg2bnlkOqCEO7be1Dr+AmlNzft0sM8If9iEj/2vjNvtP/8DN+oF5x2vlDV+04j4M0N3Rq2JI6P4YRM+9r8wbp3//GAjkUI9v/e891WQI8RRcHXm+o4sUVDvUZ6FDDHNPcBWbFbG9GaTH9wk0vRE4VwgRFwThNlY6rlZ5yvaUneVKyYZ4dwDbMVmZUxvNvnBbUA4z/ORV8Pa0fO8Vk8a0BCTQHMPsBWbpTFt3PKD6TtipqSm9Yl3GMrSg+oGGf8S09wmfOx/Zdxu//nB5h0xN4u9Bih9ClGgt2JilUpDR43JdzHJCOf+YGNuK+N9c8sPpq+IC6trR1Uar7mzRJTfX/6deol37gG2YrMyprf//A/cMCG9VarT3lC33NqDCjOlyl9yd78LVaYRezyHuuYYIpz7g425rYz3zS0/mA6IehUbXRGu6oKpM2nqsRZMqhFS11NdmSaqIM4Nksbo5/5gY25L2oemGMr/M+qHJPqlkQmk0rj+UiJPeciuag491hRraO4PNua2dN7aFAX5n9QGAkWF2gNd9+iwAmZBHGEhjudBqp4jca0bdfWpntqErdj892Pq6IjRaGot0oFzALjHU1ZDpEJwdIRmDN1a3lINFkV/5rFRtzIHkZpbg2/cLmTeUz0pE6nteQfOAdC+rUmUJ+ypUagJVKzOe9JVBzrJ9VzCwhPduTX4xu1KTQ2qdIaS3dyDcwCOTq8svRclSNRDS1MGSQNUmyJGOvGi9fXcNGzAYaVyEP5Yy9qC6/k0cA4g0elA4sLqSfMWLCVQG9SluuC4uAo+WJyn735uDb5xu1I5DXM+fODicDc4B+BRae/TwYW2aHuGm5Omw9MKjd7+6TC0HcEVoBLNiX3tBVmt2YfpHsBuhFbym/ExEDR3PLjBOQK8DwJ3iIqJp2dcixf/U/7s4KQ5PIwJtfEXqanDQQwL0ASEaf300wHYmt1CFsKBlZKCDZSIcoNzAApnV8Hx70XhxOsCdFIbrK6JYqoFn6yl/j5cRHJqGjbgsJLTS4ssLhXZgXMAVJAvRP66qbph8FdekyJAdHErrERlfG9APaz1ADbgsJKTiqUR4kElfDpwPkB5XkXF947FJnyxdvHDs0AVUqwpUlgOnXvOza3BN26XMv/KFxQd19q9wTmAgGf60dXcYpx7RW94QaTx6R9tlaMqlF1Fo2oqGSYuxnqTTK3DHjQWZtGeakpYEqh24BxA4h5CtI4XtaOG0k8H165wbCBQHYrwsNYD2IDDwvgFTFfSmsSoHTgHIEjJQlx9Ha3r35iHgR7AN24XRola3tG3lXtwDgB7JONekyaQGNjHdy++x6k1+Mbtyr2IEniDiaq5B+cASNVtlOP7gDPceZ10UL1MRfv1ARvT4wKc7x3q0cqVm3zAzQ5zKPcw3QPYjdDCyFqqfYlTxtyDcwSRqooeHBVWuyvAjVHJeKfW4Bu3K6PkKYlXR6LbwDkAeqYap3k3A4/WClDtCWNYmyADESFOTcMGHFbu38YjD6QkQ0+FbOnswmPiZQG8TxQT5VenZyBTa/CN25V3ASX5KSr92YFzBNQcmXVV5dEREdA0KKiD9mPpnV6eHAgO3hqidbpJkW8X2qjl0hNzP7AboZWRxaetNVS6rQPnAOhUwFra+feJNr6ttmNUIt65NfjG7cKOCglLg6JqWR04B2DxS63nhjHSBlDiYp39PpHcQbK0mjyUfVjrAWzAYaXGpaWNBc/FOhs4BxBp/8FxGd6oVQOJzlOCpTMDsRsk94mmpmEDDgt3KSXca/w2cw/OCaAJpqZiiam++xSVziIdofdcVJqnTg6fPZp3JuamYQMOK+c+jUceSA0AV36JcnW80VSGiGdLngq0pTp3oDp4MehHVFPTsAGHhfG7eeSB1ADu8zt5skdPJcP5acNCQMzj+xCnfmA3Qivz58YjD6Qk6KfuYlIvuE8NwJ95WtkXaTPvPEzDBRCzzX4eGmhn22iqgxOOQOsgmiCJReWwQpr5gd0IrVScb6TyOHXvQT/DD7Qx/RpID+bW4Bu3K6PUVjt5WPoM6yA6f+f69ob6sLhDgIMD6X4IfVTDQmrmB3YjtDCyN8Ms6Q6ASAV+dSW6XbhYZzCoEDOeKmcPoIt3bho24LAyfo1HlqQGQLWuoq/LTXxcJ5rU0wy0/BmvPXvuc2vwjdsF3cXtOg88JOgW2HLp7Wi3ItYOLRXQ49oG+lXwI0pENfUDuxFaGNl7tyKPWxc94J5murZOonZ9LD6WgYgQp9bgG7cLo3TzyAMpAbipHN4NI8AKdshDMWBSB0dF3MPxCHHqB3YjtDCyN6n8iy49Yez17sNJgeXUuRCpUpBO6hHV1Bp843ZllJrrPPAQwAaqqETFdkMKtKl23Mq4QvfJfWoNvnG70osNTzFtoGKJHTgHQHnmNlJ+ugBRUYUkXwGmV1lHJc/iQduVTj2t9QA24LAwfjeP/IMhPy3cwbtlBvVvNnK3xwpIGCMCmVuDb9yudo8kHlmSGgFV3Amu/fSd4o5OmIOqbOLGY30gc2vwjduVUWqus+Qxgk6x22t5o/XEgySXgvvcGnzjdmGUbtd5kDK/gtAeA84eFSgCLD/FL9VhaS0KJFIgYYxq7gd2I7TS47DxyAMpARRO0B2vjyXwhqq/HAJwVBSvqm2U+xCnfmA3Qit9iRup/IturzKPAd9jjg/4ZCBTA/BnnlZODw8qfMMtkW9wjoCeFrEevPUgYm6s844B6oucqy+1mTX4xu3KKDXX+Rcp66mOTXiCxDWE3rj3YGoaNuCwMH43j/yLoUMprq8PWEpYLYDPN1Hj7WLtDobCgysQEdXUNGzAYSUfpfHIkpQEHle0np+cCRtsFNdUkKYBTv/Af+Mi1+cXUU1NwwYclnqvXqSyZPgDBJyHludvYBAJUFQaD+v8wb2e+hDn1mADDksdVi/XWfIYAE5KvaU6s0lHKvrDunp90F2VHtzn1uAbt0vdUi8eWZJ6B/zopbwsR7rliNkFCIiuofIUVSovACaVK6/rD6GLd+4Utma30nu1kcqSoQRUt9t7w0keBKyp2Rt4i1luItsHMrcG37hd7SpKPLIkNYI7FVAkCSZqCe8ddxvqA5lbg2/cruTJNdd54CFBn0qpqNQWizDKnIByJOlEIzlDXx0nXIlApqZhAw4rvUMbjzyQEqBPfpRpkVzPMVZAhaMCd/QUUU1NwwYcVvIMG4/8yBftgEgrDVzypXb+6rlPDcCfeVrpA9pc54HHALp8W5EIKlJEI/+ZegYyNQ0bcFjqcHm5zgMPCfqsWkoIqlmh6sDDSCyRw2l8B5ez4TeZCGVqHLZgsZKR2ZhkSWsEXTJtn2arDjyQLIHRxk5BmDMZjHaPyObWYQ8aq3mtRCX/z5CFLEGXrEwll0MgbaQA6tD4rgqudkPSuFoPrnZhoB7OJc7wiHruGLZnuNIJsxHLPyhfuc21rhImLpSP6D0no5mbgD/0tdTT8nKeJZNXwLneIgs8YXeakK6aU3TLsQJcxjI3DluwWOlp2ZxnyWSgRfKeqGojH0NpCKm25hrQ4boA+nDm9mEXIks9LRuz/OD5juprEKVDkd986qBjqXi4t4jmNuFj/0vj1vznB5t3xM+XvvrAWJnAWar84CU6aoSJIgwv8c69w7+G6VKfzPa8yc/nuUDyOSXvNdJ/hFDfkhfyNQp8g/paLVBTPUZn3t6uw5t3ygX+pbyX6kg23vnlSSeQuIM9ZuaFWGeSFzpeop/bhI/9L41bY5P/4e0h7zZ5J3JN0VoJd4jp5xupQ7AVm6Xeo41Nfnlm9Ug+3QLuhsbD1ygw/y4eOtaYiJvTLxHOPcBWbJb6azZu+cH0HdWaqpreA1zD9oi4kxpVCC8Rzm3Cx/4XapN6aurnI74GOnBKUEii8tPR2s8bEhtb2q92qHm/Kq06FIAqy4tpx5nfhkQtjtqplX+CYTqFbxRrqT+Bw5dAAfbhVAD491Bd+DYCChFsPHBl1IFTAm8wQdx6Whl5amJnPSel9sFLhpQ6aQMJoeemYQMOC+OXDpL7UdObDpwSeEvfY6ypp6SWD5zg10clGU6twTduVzLW9SU9yz04B+BY7sf1fRzmNNuUmDvdITG6MSoZ79Q0bMBhJWOd1HqYuZd7cA4gUC1WFvV5T23TDgYiKsFwag2+cbuSl06iIO8pQe0G5wDojedM4sJvKP12mp/dIpCBoSHgHtZ6ABtwWBk/bIBSnp/0dd/glCAcVCXYcUrPYYgUP4dx9qWcrcXi+hAl3Zlp2IDDSvY+ptQ6LNKTe3BKEI5EgF7wBWgi5ceoJMOpNfjG7UqNIayi4iLJxTtwSlCW35F0kJzsbakWNVec7gMZGFI3SE7qmJuGDTis1Aijg+CDiux34JQgUO9slzhBQ1HuQlKPqCTDqTX4xu1S9QjUYWhatnfglCBo1Lf7w5oeqDEQyXBqDb5xu1LjAJd03pDCuQOnBMFgt1Cv+D7ouQ+kqCGj4cIzU2vwjdulegWkHKNlYAdOCYLVRIoqGRfu8ebeByIZTq3BN25X8u3pO/GB0qhucA7AsvKOno+Sew9kiAcF4u3xsNYD2IDDSr44KWdRn517cI4AX9ZlysgZ7SSDspzd77AGkTc1kD5EQVfhRpkP1Fpt7gd2I7SUiX8xzANdAWgH0TvaFwzUBslb7x9RTQ3An3laGQtMtfaJish04BxAJIZXrifdB1HzJ/Sl+pr3jwWxPLeHklFJ7uJLnTmFrdmt5EgfJEGxjpKVGzgliDgDUEE5zokkgdZBauWQ6KnOrYBk8IKupUMtFrLN/cBuhFZG1tIxHhcbuMEpQTSsduOUeOqrVEjpMcSB4cwafON2Ja8am0eF8oeU4NzAKUG0WLeosKnJ8nicwrVWRSCSIbYHKv/G3T+EwKLmuR/YjdBKxjBOPWNZyFCCbgPnABR1a1CKoyJFpTeKQyRAvXpFvJJuImFg5GKtB+5jRHU8/fQAtma3kkvc6OaBuwDcDTLS2iliPNikhaKi1OfafUXGO7UG37hdGSXc0i+vRk90GzgHEHHnOh6cIHQBTorGDLeQDveIStCVv6SZH9iN0EpmMh4pldUUday6wTkAqvYQNX/3mDZSSJEAWIYoGE6twTdul/KP0YwnHXoHTgnSQTwsTSQKwAN9w93PkqdAuECLiErSRXlvubcepgWA3QitZNaiqDQmziq8wSlBok7vMVhOEUE5RHRUeiRRgaDyBPJjvJIuJQLHEO1oWgDYjdB/P7I2aay8Z0hQ0YFTAudRKWh4J8phPyalE3Gnqi/KKDoHnBuAP/O0MBYRmw8aR19qB04JHGXbG+6i7QIuXo2in37h7om7HQORdCP1MrXpGE0LALsRWvmVUUXpkPi7b+CUQDbJHbrfWgKkafDMnU5YbaTSm7ytYqkoTgFkgBokmEB7zJYaFNX+sTZarrapRwYCwL+U94Kyg454TKTZcwfOAXC1Zst0+2bGYiTkGNH2l4k0lZmbhg04LD1N8avDPdTcg1MCh3rJ4o1u2PJDSAQq3UB/5sd/IwD8maeF35LBzXd7ULm6DpwSeEWVgzn51VOBUuNYoSO+4eHb4kDUI0QRPFZtL4BOTJxK5JRmLzaRrOWgTZpyv1EhT1oxO9ysLYCVVFPW8H87vIVvXeEumS3zFxyWG5wD0LhitsowQ6qLqUhE7ZQmQIqjuQH4M08LY3GLH/OohOxBL5j0FpNK7cFNz7ne58G6DtEbXTQ9739jw5dKiktFrUjkSIh4qceN5T3LOVH4PxfRijqtyS/zIIaVytheskmp/dZx9z7R2El0bOrVtHPTsAGHFd1V02Lmh8q1A0K/ib1yMBDFAH9JLj2jEvFOTcMGHFZ0V41UHhgOoBfD9mLOEAL92dEBvvlEiFPTsAGHpd6WF488qlx7IMSw0VAx2FB1Fni7RJsegUytwTduV3RrjUceSA2gk7wKMWzCB3n5M9YW4MTcphpIH9XUNGzAYUW31njkgZQAQv/aK2PDgS+1svw+HoFMrcE3bpcUWZdiNY8q4R70KtegqDKi4QPEnq7kLmTGU9OwAYcVrVYjlQctsKDbS4aDJtfWsUyR6kca68eo5tbgG7crWq2m+M2jllqAXiVs+JMqzeuBCEQAEe/UD+xGaGVkmzA4PyTXHRBiYmq46XjHSwYiZdoza/CN25UOMo1HHkgNoNdf92Jii1uBLtD+d7BUv9nz9yiimpqGDTisjF/jkUeVtQC9GFvIjPHkpXzCmglaBrp6mC+impqGDTisqOAajzyQegWkHxFqZKGz9YFk2txwyeF6v0TlHyFO/cBuhFa6zjQe+aFG7sBUdBuo7pBXVHMyeCpmevCzR0Q1NQ0bcFgYv5tH/sVQqGmFzjaS6FFb1QOWQ+KsokSlHiFO/cBuhFY6/TRSeWAoQa/AFdrcxH9m0yOqqTX4xu3CKN2a2TwKaHvQ62zjQXcIb+UPADUnJZAXOW4H4Bu3K4rKxiMPmuMB3NLkSJP6i7sAPfe5NfjG7cooNWFwHjXbPejFxMUzkgqskrvAg/sg+p6Zhg04rHT6aaTyILkWdHtldqQe1z5RxrAIZG4A/szTkurukk/nQUstgZBc95JhlASrYFjMLoDD/cHAexKRmlcHLpUS6eSkgPj00wHYmt3KmDeGedRf90DItIVkOBj6M/+MamoNvnG7onRsrvNDMd2DXvErtMCRfhWO25eUtSNxT49ApqZhAw4rnVYajzyQEkBoqRMV1PXcMuYCLMzExOIrEBHV1DRswGFFD9pI5YHhADrFtNBSJ8z4D4HblyQqkBu4ZYcIcWoaNuCw0kOk8cgDKQF6LXqi9nUhKZYMO+LBje1EIFNr8I3bla4fjUcedPmvgOX7nfw8kYwhHvTsSST+iSzKEVHNTcMGHFbGr/HIoy5fgk5X3ivOEymcavW1pAIB7ceo5qZhAw4reuQmEc2DXrQHQlYqtMBSypvwQWS4UKgNpDfzNJG1ATujGO/NaFoA2I3QQh1Diy05y9zd4MO7R+cUUY1FawKvcswTOUUrcEeamYJQG+IdrRuUO7gRD53HY9Us3DiyJLX55R3+NUxXvoubW/7N21q8F31yFXlKu6Uc+sKblmaBdsmHCH/YhI/9r4ybQ/VCOEh+06PzgTzNWhVXuCwotAUV8jYYRWKmieqKcCfGXzbhY/8r43b7zyObAQWah2lSy+J3iimfiismD7znVuDPPa6MDf62y8xTM9MbnSNyB1WnD+YNWcvzf3pOOIMK5sCH0b9swsf+F8aNRAw4S6CndIfOJ0I1Q1SREfboKFMN/r79kai6L70EuaEgphjrNysdgo/9r4zb7T+PbB4Ip1468RvMoQqwrMaZDZ1QRcc10B11Zi8rTX4SJ5QfR1fjTYYQP5dLhDiDU7ROGKL/wQX+pbxXngv3uy6Pb74BOarzfXD95OEJLp7u8o35wyZ87H/l900LBlqwZoHOJ8LknJAsf9/U0TIegX81CbWNITjmzbUfQv2+5zbhY/8L42YiqnF8os2VHp1TRN+woRzRcHD3iYIcIfsyCxOz5R8eYCs2S2semiMY6pPZo/OJ8CwsmHovELfy/jTPGcqAxjlJP+ub+4ONuS2vMYlbfjB9RxyToQ5gLtTfCeaGN0T9bIM9XpGId+4PNua2Mt68a6Us9Qbo0PlE1LVCcwcVR62E4xHiy5NPPBV/2ISP/a/N+XFugSdDWaBziq45N5eAqG9TmmlYftMOsx45JxEz0B/+YGNuK3OCm01+cJNI4YqvzAH5TSvnjjKKuRX4c49L86XmPz/YjMgSqvst1GfKR/725bxaRjG3CR/7Xxq35j8/2Eik8UkcfZ2vaSo2EuoqQ65AZBRzm/Cx/5Vnn6J9A234mX2j8wWRvoB77QwzBjmbGHet+vXI3ANsxWblt3h/p/nxDQ+I3nyxrjkiVbFysa45xPpX/jLmNuFj/ytrHudofcD70B06X5DvEHakx8KKtqJIiOZrwwpErk7mHmArNitjmkgJ43j926FzRGWiSmtcxUjOc8UcuP07/7QiEHzsf+W5eLHhfdgbnQ+k6Kw9ckcyq1ifUE+IqDtc8LGegojVgoxQRj/3BxtzW3sPXdzyg6lEGhNY24rAWdZApJeYJJrbhI/9r50d0nyd9707dP4DwtVm6wdnMesGz+uvMxicWxz6+Acr8LH/pf3c5j8/2Lyja/5A1QHjG4rUR0/Xs2Kxxh1WrjLeuXf41zBdO8e9uOV/4O0VIptURbZDYv07rFxlvHMPsBWbtTPei01+cBsQvlujP3y99zSha9+g20UYYprbhI/9r4zb7T+PbEZEdULre3BcDYs17rhT0Mc09wBbsVka08Ytj0zfkTb1uUSrE1NXymLdPKyG+3h/eICt2Czt9TY2eeT2EyU6t06WeVOhtbIAqXt/uP5NB8/6hrXhsOLro//hD/41TFfWWJgZr4L21C26Q+cT4YovmFBPuXjXoirN5I6G3Jk4aDWo6i/xoH7cFf3wBxtzWxhvTSeHwVFXsh6dD+Q0q1vIv6a5THCk9y2I2FieZf6wAn/ucWVsbv/5wUYiT6k0gfcbyi2ETD3VGEGE376njOfCOx19FCKmuQfYis3SmKI2OiRWr3XofCBfdePMFFd+Ze7MKz5DKtNQtZOGatwGrvZXZtf4JArxqL8h1LOExCueH/5gY24r431zyyPTCaq/BSz2HOtTyvCTv74jGjI1Xt3FK6L/4Q825rYy3hGrAkdD7Wt7dP4DSgfNuXl3qfxq8DPLaxxDfVej5n2RhvgzTXMgFV/QD3/wr2G6MpegZOPo+InZofOBeNbDmWRYuxxRVaYbqgtQpjf8+3KK9vVZ52WspVWrUi82ewRbsVk6V8D2VNTXIQt0PpDHnfyk6m8By+7jZ+oFRVqLJs870liOEJF9sdkj2IrNyph63FlOVvEv40bnE2HV/WR5f8PQmWZBdbaIa/9kqkbmwF9GUsnV6PEv657JDw+wFZuleUZ7t+bnm1Yg+U5ONDsPx/Uk6udOcl41twkf+1/5LZJiKGGd8CzQ+YLKGzNxB5xyL9A9ZNLrdyq/b3EnyjvKHvirOViL/MM7/GuYLnwXip7ZIfIbukPnC8LZIibEIcLMw3aqojStlLh+WEGe9N0cb1lcHjQ75c88VoANge/SH/5gY24r4337zw82I+JTFfqdYHYizmV4LYoLT4qQPwvU5y1eSPNqIL1EOPcHG3NbWptgLaHEBfB6dL4gR4jXRqHMgco8v+6LaCwWkKLiO1HRv7uen3Ob8LH/hXE7Iqa3RsXnAR06X5AlZF9+GcN32t+JR6JOUQer8354gK3YrNz7HlteJE3NeXp0PhA1yEzcEUYpekMnbn2ktMJ816QtR4i1oAvi/ZTLCu9r//AAW7H578c0Beoq6A1up3TgHEDE/LrIPUYTbjxfQB0mkmyKN08OjcXuo6UGDXN78JXjlTv6wKqS1zqmQ+cLwm9R8bz6UJZmKPUzeg+WhxQ9ew7c/yz/jteNB9Ugj5HPrX54gK3YrIypdrQCoYq+PTofyGC12TIlqd89/hKS5TP7Ixi6h3hX7giaZ4Qchcf9+cSdMn95gK3YrIzpzSY/uElEtY2SqygqekrxHt0QxdwK/LnHlbEJ5flaZrdUXKVH5wOVH3dBmvdpsLUSziZ4xqAMzzT4jirTCeQdo32x0iP42P/KuGEOuj4MPa17dI6oPBo8In5qFOKpIMu7wArr8paY+BtW+LTBCPmtiL0IC1PePf7hAbZiszKmljziSjcLdD6QcwpROOpMC7lZfkrLCEem/W/o8cvwHbIRZ8tVofODC/xLea98T3cU+RGTRN4j02Bte/IX5Or9bJCpr9zEWPywCR/7X5hZahLXBzqI78A5AEvax0h7BslSMlaim1BO/eSMjs6PWPM8Nw0bcFgYP2doK4v6PXbgfACawXErZ+doC5cecMnhnk5Sjud2B/FNdOaWkqapHW2Yz23DDiQWRtDzhIKaiXfgfIBE847AX2ukxVn9wpGHYV3TMHPuZ9Vz47AFi4UxjDRhs/Tw6cA5AjyBKT4ZoEw2+fpwkVPlccqLf2n4dzO1DnvQWBjFRActgdo6d+CUoHyd5C5YpoXLhIJifbmhXCl5locduBmOE2kzGhEAvnO9NEtvb678eI9JhPuiuqwj6mwv4Rs/qLc33twK/LnHlfux/aiz/IVLIL/b/hsb12DDOqu7S+bmYRMeaytB0qDw2UiHzgeinl1RhYrEzqbc9eQ32mH5+ydFYaw70MWmuXdSf/iDjbmtPAFRtpbw2D734JQAN6RwUaa41MyBvV3LsrdOTDUdCkY+6hseUf3ja24fdiGysgt+r/7zcy9AILlrYFWiExH+LOBZdIqsoFCBTkMj7Z4q5Ylprf7zwwNsxWbllOvwXCaXdVY3Oh8IT+kK4nWrxqwCJM+fGToRifzE1wdlGCZ3vFjpEXzsf0mJQPm9iutMdOh8IEM6aR3ecoZlPvHcCvy5x5Wxuf3nB5t3xNysYV066xuCos9YQTJkV8uY5h5gKzZLyjbqBuEP/vZvdE5RVYmwMqFpoki/o16ysodca6oSHWzVoURUl9ReCr+8w7+G6ZIirnHLD6YSBXpKXZnA7/nUbxHObcLH/peyZxqbPHKbIPZPc72QXKeADOnKUBF57yLCHx5gKzZL1QOb/zyyGVDCFqCx1kORaMh0l2jIZu8j/OEPNua2VGWjccv/wJu159wYGeta4OYq9+x+oD6mHzbhY/9LVTYam/zg9hPRyk7Hf6oQMMY0twlbsVka08YmP7j9QopWtob1NEMtAZn3L2Oa24St2CxVJ2ls8oPbL0T9VaPjOqZDpr+MaW4FPva/VAG0+c8PNr+Qoax0ry6kOySrLvyqzzD3ABtzW6oG09jkBzeJaLcxBl1rw4oaDGNlhT6muU342P9SBRKqdXZ1wLjR+US4ixBTraX/K39dVg+Y24SP/S+NW2OTH9zeUa3Q5yl/n/e3Gqr9Cfq8/yGmuQfYis1S5ZbmPz/YSERa+KQ4S8FSl9sLyXoJQxRzm/Cx/6UqI81/HtkMiDrdpqsWM3VRq4fLylFtg2R4F8HVc1He2XaG9rlr3QNn8R5KVxcXi3uNSdnrL/v6FHIs5szg/0QUK+uoe3ctP/baXtGV1aiow0msa+r/j713yZYd1blG69mK3QTzhg5Rwv2vXqaEbYSDOGMsbi575/efwknNvSKQcNgG9JgSTBYDB4Xw2M015FdZs+QjPK3Zb7Z9RK2GV3rJpAdNsIMMM5xryK+yZq1i/mCk2G/8FCPqqyFFpaTRZI1LrdLfEQNIm6HiPrUpfBzzQvlV1qxc00D68c7aBSp3JHhUBo6Vnh3EbIHuBa7eOVGrWk3MyL990tCh/GLblq73ac0+2jYg8XvLe0HO4sso+dc1rrwzLwaU/Z+BD2VAkjlFcncYqm+OpkWAuBK6zYk8QSFs8cOYPcqvsmYpNnqynOwClSlq7ChzDg7jOG7r0wdkicO29TMyqPi/0Fx7/mssXauYP2zb/4fdkg/Fc9ez8GkW81Hyr2tcilOf+vebNZ9R+xWZyWQ7uM6oq0YyAm0f5iTRXF9+sW1Le/7Ttv1m6UfUuGIkjwzz0x+fPND2Yb5zDflV1qzt+Q9r9pttAxLcPNRduP5NfZjFfJT86xqX7reTm2gXqNyQIz9kcC3eTWyoob3rE939XqsPaJiTQHL2c+35r7F0KWfitHS/2S1RIC6o2DpmbVz5rMOHOc1Hyb+ucS0v4tC/j9YMSPI9CS4oq+htEzmP3VJv6+NXHOY015BfZc1yXgRZs4+2DUjwa1mteE4H/6mhWdj7nL6MmR/Wv5TfcFqzj7Z9Q5bODgeHljXka9yY0+hE7sMMBfqiIb/YtrW8iMO2/WbpiFKPJINZih0ifoikovuExOzn+vKLbVvLmTis2W+2SaSIkaTVTVkL1sek2RcxIDmL+Zj5Yf1reRGHNfvNtm+I2EmS01qgFptEjWk6+mYe6NN85xryi21b8dldHtv9xrs3oJ6hb/DoSG+PRs1A8M0rKbzAXzTkV1mzUvnkqRII3LC7QOWGKBs2an7XS2aokeFJ1CF5sJQd+UpfNORXWbPEEUA9JhyvER0qd0S7Ps+chBv1KI5hS80aymBQjT+P/tYyZhTvFptPfKMef3VM/UlDh/KLbVu7hw9r9tG2G6KTm2qzoHNMMI2ljO6odopUiur2W6YNIM1Q3+f7RV9+sW1LbHanNfto22DpZohLgaPtSrecnMYYt3Emmb7P6cuY+WH9K7V65N+iGtddoHJDnFvS1s+BMU4yv1nL2Q32wyg9yg/rX7tumsbRze4DlRtCDh0GbpWDtO84/kbeteS2TzMc7Z5pyK+yZok98bRtv1k6IEQVU2gso5GyaTzncA9zmo+Sf13jEosv4kzJ8C6kQ+WOAu2BTfttFHFz2MbLRWQnmk8gimJXVXfjngqUhcSe3i8a8qusWWLqJWtah+gOlTsi+pjQGIYFn9lQ7ytrgeVdI+8M+Qwha6z+bYuftHco/6V2L71rz0rs/VaXPSBi21Jbe0rp/Ne4zQ/k2ptP1HPPx8wP61+6bqc1+822AfVscgPTXLLEU9yYt+Wc5mPmh/WvXLdL/36zZkCCoQ+8Knoz/CuC2A2osT1vltga2p4EttQ5tSdRznCuL7/YtqWz6cnjuv8zsrqOqOd/lVylkseU8pvTltopWpxc5Klmri+/2LZV9iK2Zr/ZNiDBeCrZUCPqwJNtz9646svVm8jX2jldzn6uPf81li6dW0/b9tHSERGjceuMsiHaUVfh9swqssYH/WkVFiu03I+Ja/FFe/5rLF3KMWQuxcSR6AuVDwjPbFu9DXcXTUfOGZ0GNndkoPU9PWS/D5kjIOP5snvT3Jb8l9q9xPV7spjt/4ycZgJJ9jMFxpAeKfpku/eI/czZ5j0UPLwDE6xgJp1rz3+NpUvxpjPyvd/j4AJ9idkOtXCyEnE+Zn5Y/1JXuTObf//nltsvkKwCkNGYoSJDVFbICpi5hvwqa5ZyaE9r9nvcSiIR4ZKZ15LtZmCmETOca8ivsmbhmjpD3X1Moll0qNwRMVZZXjEceBLrb8qeB+ctz5Ar3JInvhXeG3u10d+4/qoijOKZBdBvxGhjQkPE5tTq5PxmmQXLtb9hvkedHJjZKuK77YvV+T8/wxUmTwMiUXaOdqBIUCfnsZS4tt2zRI3ubCMb5CM501N7WqsM02R6okk3dPmIq7quVNttdAHyC236+fWlomWkg+Bw04EiQVLcMY7yxiURuCT15k0ZbQuipzy+RExQtBnDNs+PQwuQ32bQwp17WbgP5gogScF7fm9BsS6mOB0tP6N24SptGx3T+Fm6QBmAZEvvbe/tkLfIdLT8jNqVq0TNsJwiYu8LlAEIdnTBc94TzMtZSXPpYGzpHTXXk99m0MpTStTwnlxrHSgDEFTzYlbCqOkA+dc0LVwLQ8TTkRq9dqAMQNLH9zzwPQe/nIgwdzp0foENC9fPRgc3Nb96L1AGIBmUJRNyzxMvCb37CQvjp4ry6yxa6VJxbpH2cb/UAbmvAuk0oUbg3ZNVS9JpYfF09PwOM1aiSldn1F2gckd9R1XdcjNdQ/jpQ9RHrKbj/1SRzieNX+iLhvwqa5au6WnbPlo6Itmzlk7cKbVZSOZpyUrdz/eLhvwqa5auaeKKZs6JuVC5oUi1kardGZzl1xrpDCzgYk5yvl805FdZs3JNI0X1dOOgv1C5o8Q1vM1u6m5rWld3vMvwyQ8zlLP/oiG/ypqla0oVaMZw5uCFyg0linpYzjrSmry7tjGuKIpeGOZUlTOUs/+iIb/KmqUMPBrHcS1mh8odRY5T6/Y+p0rBlpWREvnPfbjeWTG0HuCIOyCJI3was0P5VdasrfuHNfvNthF5ii0cuZnkDNiOlfZyoCB/gz+Z7jP8oiG/ypqla+rJGuYD6VC5oagpK6OtA1xl1XjuKuJPfpiTnO8XDflV1qyt+1S5xzGgDpUbEj3AZX9wreicoq0RaGurMI8S77OXV+aL9vzXWLq8rz0q5cbMd4FkznZSjNp+3G3n4Xzo6j7kz8815FdZs3RNzyztXaByQzK7O3lG/HunSHNqu0U5wyF/fqohv8qapf3CmTW8/3PLIRZIdExCQ1z8rfVPknOS8x0ykaca8qusWdvXHhmuu0DlhmRupsjb1PXnxyfbuVGRM655mYZM5LmG/CprVq7pZc0+2jZYKnJhNefhHOu1puzA5Lf7nL6MmR/Wv9R17LRmv9k2IJlRHDT5zPj5Mp46YnMcW+MEU21rux45w7mG/CprlhjhbSD9XAV/oXJD1gWaBaOo6W8HQ7Yif2XrZzMfJf+6xqVssk2TjsYQcKJyR5p+qfRpFtJSR7GH5BpDAOWRxsb5P9eQX2XNEjPuBv3gn94FKh8QPRltDxy5c31jsTFUTbAdXJUSUdgwNfYAZgdJ+rOGC+UX27aU2Zcos9IzI+CFygeEyELLfqaMW73Fxv1raL6x8Vmhxyk63vP3gsLb/WBfnWvIr7JmiQHy1L/frBlQgN3pYP3jPNo2C4kC1Rw1FoBhTnMN+VXWLF3T07b9Zuln1PK9605NI8OKUQhArU8lZxyHs8dfP8O5hvwqa5aYDE/9+80aiVw9Q2ikb9O7fqOe3ckeCG+w9pYy2O+hn/enOc015FdZs8Scedq2j5aOyOBeUKZ1pqz/qpU+8rarxdUa4+8z/DJmflj/EpPjqX8frbkhR6jZnYDM0TM1+QtZVd9PGiXAbU707LXeK2KGX/TlF9u2xhCH+z2cLGwHKjdUH4qKUttl+7onqX9rnFVUtVm3jm1/qDBDF/2HUXqUH9a/fB7S+IV3gcod1b2z1uZg90Jehm5cAg51ZTggpx7p1jEI9TN1m20/jdmh/CprlrpAeYxjmVWlQ+WGvK3WaNf6dHrkx+hWW+Tgb6hz4kqEigLNl/9GeTVaHX3Vphryq6xZ6wJ1WLOPtg2IThLa6/br46xSf9J4n8WXUfKva1y5Npf+fbRmRBG/cGgn3oQ3uA6t1xHVsulW+SJn8WXM/LD+let26d9Ha0bbcL+bbYvdGyUy05y0+8so+dc1rnUArPemsaq9NU5UbggdcbWJzG/sKP/PRD47Oew/tWnVNo72XfV7DeGMa5qfxqHytaKjd9xUX36xbSt+Iutx/teRe8FcqNyQs1xlytHRSJ6CtoJJz8zgtZmPmR/Wv3LdkJML/wd5AzpU7ghPxua5at3Qr79ZrkDViQqWjGu8mpSnatzHUTqUH9a/dK6DVx51HHyuOlG5IR9px2T4bSN2oSbRmcsffd7ok0fv9vmY+WH9K/ebQvWZCtx7qEPljmK6LK1LGVDU7e7nv7WuWFbRrp+ZBjVYui4015BfZc2SzxZ+DNAvs5f0ROUDwu99nNxRN6NVi8EZTR6PxBHQupXH2alF68Z7Qd4nfALTzW+y0ez5zGX4OoXDnzq1LP8nZrHmezss3W92S+QDnbLM0fERexnNsUKD4kWc3Nz9yR9mP9eQX2XNkg/JOzqPBvbTnKjcEfwG+qjvD3HDuaL5aBHpr6jZluqJuaJ2f6XAJ5DDw6BolNjerUA6NA85o+PKiOskr+HczvwfnNNSF4nT7v0+C4kM5hRbH6BE1yJy7btFvFzrFmOzYHDE3w629o1OCs3z5OjKcB6+RZc2XKd0v2pfbMl/qd1LvkWsc2ZrEfwLlRtCCbGmWB6hQGe4dm4AI26db/OLIPMc8zUfZi+vzFxffrFtSwxDmmIe3OepQ+UDIs9yY9kzFMWLLQcKTB56C5xp8mWU/Osal64N/AIKOVy7QOWOkBGmlGtsanj2kNJFlvLpKx1cpEn1s+jnJOf7RV9+sW1L1/u0bR8tHezesCahVSsjT3EN5rxXDt4FGMxIE2p5jGK+XzTkV1mzxvyLvRNix7tA5YaMwc7V6yPbG/sqy9ERULNUZPjUoqhOVOmW3zwfMz+sf+W6XdbsN9sGhEiG8r7xPjs+G7QMenizlDsybAOeIWdarRhYVxBc+TDfub78YtuWGHxP2/abpRI5Y+gsdlTrkI/C6A9zmo+Sf13jUu453dOJI3UdKh8QnYbak0GnKND3EAJTE85UrXaJIqNnZjJ2Gqqxwn3RkF9lzVo+/2HNfrNNokA729aHljwwWrfOVkgIwSdbTeOm2bsQP8xwriG/ypq1+r/Dmn20bUCRIpW6VSoq7DTq6735veAl0Zu39zl9GTM/rH+tDuKwZh9tGxBykxB7d9dvqk2bBSip6ieZNxYHdtjG+zU5wy8a8qusWauDOKzZR9sGSzd4CLUNrUKGvB2WWeq0pfPYwSUO7rrToyFn+EVDfpU1SzUSpzX7zTaJUFUILwL7vLXmGDLfC6jFglOc31LobleRbjOMlFsStw/znevLL7Zt5Xob+k1BjrMLVG7Iwk9jtiO/m/THZs2BeE6BfDhHjThl3+p2itaW1pbE2bdf9OUX27YUFz4t3W92S+RgN8UWgNjTmfjkpuHfB3If5jsfMz+sf+W60RnXaEN+sQ6VG0J/lYoaK/e2Jeg/Oyz2s5AznI+ZH9a/FE8/rdlH20YUgUzztW5YP+thmDPoyete/+3TnOZj5of1L9X5wGdqEIneBSo3hJ7I9ZV9cLsj6mB8430/EMc8DLznlNdcKDKIOR15AHMN+VXWrHV3PWzbR0tHhDXSxNhsA+GsiamLjJr2Bpcz/DJmflj/EhP3qX+/WTMgempS6iLKpq18hjObjqixnMV8zPyw/qXrhmpUi24ku0Dlhmh1t9q0yCGyzOzxtqGsTtPe2QMysNS2mrcvGvKrrFnyaWDl30xorAAnKneEU8ZmmxfBU+1ay5RFEjzQwX1FDNBWHx6Gvr5Y1B7LvktftOe/xtKl3+K0dB/tviHOVWscIIjGbv441VEky7esPk3d0lxM99l/0ZBfZc0aVwzuhZaB1aFyQ+RBpG45ZCl17wrtlKGpriuY7T4nOd8vGvKrrFnyPcF/v8XET+KFyg0l+HDU6RfDaqJax6i6OaEqr5bjZqhGPLoP85XX4ou+/GLblnwogWre2BPUoXJD4G3Q1CmK7DbwiZtmt6OsNt3myzFGrdvpRG1XxLEuOTT7oD9cC3md5rbkv9Tuld9JU42d5ShHh8oNyaxNmdEZKHJkG9MZ+uzgey27GHsH1bh8hysjr9pce/5rLF3yy5yW7je7BySza+k+OVDAzk25dCCKd3JWxDD7uYb8KmuWrulpzX6zTSIHP5yKh4dUoIiszaOisiKy7fDmiRnONeRXWbPkBzut2f+Hpd5xJvCBumxXjdhm/aQyH+Y0HzM/rH/JD3bq32/WSBTIt7k1RlnYqHVjghozvfvM62FOcw35Vdas+cgoxtb8KRcqd4S3tG79RCsyFFU6MtY1xe34fCuz58UM5ey/6Msvtm3pep+27aOlA0qB40itQoBjRRylN7T/11YfCJGqVsUl5/tFQ36VNWu1KtDh1VHlcaByQ2xp6yVsiNtL+8YiYx1m2JgjDeU4atf6e2owUGhrtg/zlddCUb26Pe62qS35L7V7yZfHs+DVu0PlhsBKhVsoNYT7JLZZOE31ys3n7SguGxr7irwy8qrN9eUX27bGEXXYtt8sHRBl9hx1NNZQDNU3X3kMNF/3YYbzMfPD+pfqpk79+82aAUXKrm8VKS5QTKut7J7YMFLj/vHIXDvvGjmnuYb8KmuW1j3Kf1S2rTQnKjdE9SnqqOuhqm9QTDPayH8TjppcQs59GKVH+WH9S/E2Tadox7H+C5U7SvCScHup+s5m70pjT5NomFOP5Oy/6Msvtm3pepMvwrQd0YXKiMxGv37L5aHuskgJ1AKp+wzltfiiIb/KmqUu8uDeVZYrJDpUbghxL5y+G68feZfcsQcSc5LznY+ZH9a/tK8l3jPEWHaByg3JamJZaYx+rfAEtf0KPSdOfZqhnP1cX36xbUv707POexeo3JCFN1M3HuTvFbOiZlXWJM815FdZs1anSbljzLbaoTJDkfnpKNZdZ8Z1qTYS2hpCDUrdJfMnZQ3lWP0405dfbNtaT4ej6mT/Z6xBGStS+uoJUVmhN2Jka8y3oGPGs9e6AA0VQKKuZa4vv9i2pfzx07Z9tHREfWWFrLoYmEAko8cw36mG/CprlmKfpzX7zbYBiUoWWZFBrMDVJr5rJLuKnOFcQ36VNUscOac1+822AYkqF1mRYamS4+jEaOB5Utyce5zhXEN+lTVLsd/Tmv1m24BElYusyOBagsZ1yxxcIOj6MMO5hvwqa5ZqGU5r9pttEsnKCll14V3HG0IsFZjT9mGGcw35VdYs8YoRr1k7p3eo3JCnvCLDdcD1P5QNd+xXcBo8uoQM/R1kn4aNe4YcLEhTffnFtq1c74tXff/nO8e9RJI7XPCKW5wmQZ/bEHb8m2uMH4bsdo33aK4hv9i2pR4piX1tzAp7oXJDmhiidOs8Emm/0u4FG+iOarlDX0bJv65xiUsaGa3k39kFKjdkWzaJbogye0Jj26R9tW5nHKyx1Tb9aZQe5Yf1L103Wuuc02z3icodJYrrtPeLo1i/b7OQ7M2ShdlSFVvLJ/6iIb/KmpVrWpc+9NjTfC9cqNyQMUDeNLvRqzo51foFWeqayD39voySf13j0v126t9v1nxG7alR1GOPT8o2UDcfz7sQi1gjZmE+zGmuIb/KmpVrelmz32z7ihI6HLbuvTa0Doe+vbMd2eY/zHA+Zn6VNUvX9LRmv9kmkezkJbt8oYay/o15oYY5zcfMD+tfin/iRGA3fqI6VEbE0YP6zj2qsURVkawOQnaebX3UdKIKv1a39UVDfpU1Szxg3DdCNYa4E5URDfxGkplI8kIpYuVqjEZboCzxtn5ukUYJnDu2JfIutorpL9rzX2Ppih90o9w5ZCbvApUbksw0A8NMzwS0cZ2/buxxgboP6FbXMteQX2XNEidboEwjzjDtULkh3qE1Ts+Bb0XypgzMNGL2wywoK6T1rasKiWWBufjxRaBWxTW3LP8nZrHyG4IPV+vDI3+hMqKBb2RgCunZXobrNNgdiSe0sTlZ8vSFxqw1157/GkvX6gIp/sZdCjtURoTH/M/FMCK5X8Tsb5ZqQjx7l1w3X09cxvFk5KK8qrjdtQuU/1K7l2oNW9S0ddg+URnRyCAjuV/I0qj0/coMdkeKyyof7xoEyi+2bY0DC3s15GDuApURjfwmgvtEcsaI2Q92zzXkV1mzFMMk3gi81XaByg156oDjWh6bRz6WaediyacysKSI2Q9XZiNmhqMub649/zWWLsWUNmK0sFyJd6FyQwGnHeNbP3k5X2nbfJT86xqXrg1WYau450uHyg1ZeKStavFVeaKTpz3BvDLwqUhWGjn7YYbYO5jUPjm3LP8nZrHc/4YYLfZ/Rn6LAQkmDMnM4OBxr9u3xmslOkqNfaIcIfVJQ4fyi21bivuftu03SwckmTAEhwOzXfijuq/vRDX0l5Kzn+vLL7Zt6Xqftu03S0fUc2ZIDocA78kWmn/Kw5NVZxg+zHeuIb/KmqX3/mnNfrNtQIJTQfItNLaLlqsUqS92bDllkWeYPs13ri+/2Lalmu+TtWIXqNyRYLsYalNExUlCn+ajL8CXMfPD+tc4Iw8WiV2gckOSfWKoDhGVI3JOA7vIVEN+lTVLdfSnbfvNUokkv8dYHSIqR8QM52Pmh/WvXLfLmv1m24AkS0rP2nGrFenqSIYZzjXkV1mzdE1Pa/bRthvqmTkEa8dYDyJqRcQMv2jIr7JmKdZ4WrOPtt1Qz9oh+CaGnoRDv8J+hl805FdZs167bpkz5cZ4IFFfcy/rb2SljmRKmI+ZH9a/dt0Oa/abbRJJ5gLZafBbTdN8zPyw/qXa/dOa/WabRJL/QfZklLOYj5J/XeNSff7JpLALVG5IMjAQm5H2jRFY9quUs5AznGvIr7JmKUf85FXY/7nzWAgk2AIkkwDtNGhtvM9Qzn6uIb/KmqVesac1+822AQl2BtGTc+jXOcxpOmZ+WP9aH/SDuWL/Z+SxGFgtcMqs639792BXQAxPFd3qK0XtZd8xc5ivvBZz7fmvsXSpH26kelZmre9QGZFFz0dtWn281bgXjPUNiYpZUU37Zcz8sP6lZ//8hffx9x6Ro+hYYySj+LoxjQ9umKGoQhZ3zRcN+VXWrFzTZk3glfZC5Y5wcq2/vr/fGcPvLWc4HzM/rH/puiWKsXIPng6VG6K6a+L8h931KArEeSDDEyXnJOb7RUN+lTVLNV6UQ+AbX9iFyg0l6i4RWqY7GAQRK4z3Ocn5fhkzP6x/aT2Br73uIvjXv1C5I4qFx5bbrmlVDFznL2chZ/hlzPyw/qXrRr3BkaG1C1RGVHcMFHFmH721lIkRW2WkmIWc4Zcx88P6l/hHkAltELfYBSo3pODxsNtRAYV4kVXbUYNBeQKpVQdRn52jM7ucoZz9XF9+sW1L+57zlLX/M565JJInCXnKSJQt58Kns/F8zPyw/oXr5iOqlCMq7HeByh0hsy22DNugwNUeHf+KIWD3Fg3XSQbqOhMbK24gFubYemMHh9z2qLgKIGh4nkMwDUFDCFzvFjQqKkPzpwaF5zJ4zpCv2hMQ7wG/WJ3/8zNc+O0DdeJLgZkbOlQ+oADEEe4YUK2Q2qkmogNiRZylERVyD5LhmuwvY+aH9a9cN+JciK2qpkPlhvBL67RxVDVQLkBM/FasCHdb41updwHuGuTg8ii42yLHZ75oyK+yZuWakj8tgfF3F6jcEPJTdNLs9w4BtqXGexWIHyAp9gsNM5Szn2vIr7Jm5Zpe1uw32wZL8V5Klv3lkdjJk4nHLDSsaW8wOaf5mPlh/QvXLRrUIaTIJ8UOlRuCxWZr3UUSuFXqCsFreUIXGLNtXOlQkaXv0e8dwX+FpBb3Ycwe5VdZs3BNHbImdX1Y6NzYoXJHyPrzitdBh0hgRRy39htisy7xr+83DRQ5quipz6dre84vGvKrrFnyBaB+w6LP6S5Q+YAUIT7/oDsiQoW8V5e7erHj/zJmflj/0nU79e+jNTekCTXbcIq0xrQzDs7iVqV23hSnITGnLxryq6xZOe96ZJ+7jav4OlTuqO53tWv9LSztNA7k4FfTtsV1nMX3bFDu0ygdyg/rX7luAb4v13ocd6jcUISn2xk+nUjkwDJQrWGvpHP0DB1n8fmY+WH9K9eNaiZc/anI7guVO8Ja51yyd+Q8WP6c5qfG+YBZ6Pbre2REOtU8b3MN+VXWrKzRmnQk9lF2qNwQZSf7zbbVDSsfrYZAVGflAnPJuUTrYDvj1tURT1tjGfiiIb/KmqV9z2nNfrNtQP0eYdg/yFnMR8m/rnHl2ly7qX3cW42ILNXs95bIEwefb1yRHuya9Xfj/ZrfHO3QbLzv177oyy+2bel6n7bt3+12DpwTvmVTVWQI8SwoBlHvGn+f4Zcx88P6V67bpX8frRmQR1zL2+MNTpY25DXql7xmfh+v6HutvlrO6YuG/CprVq7pZc0+2jagQJa2LDRv4G/yhn1RchZfRsm/rnHl2kSs/D5yVWmHyg2Rb8S3LB1HVTIVsc/Y1f9q7zmfxyMzVNO/8Sj1fOAD79C+aMivsmaNA9DQnlQ1Rr4DlRsyivayjVmOcvLq3xorF97gNrb8KWsJ2Zbr42mUxqo515BfZc0SdyCfgdLGbH0nKneETJx6yuKcHXmSojujPjT6wwzl7Oca8qusWbqmzTbuDXGhckNg1qvngxb9togjVsSWDmfcL6dheS3m+vKLbVviFTxt22+WSuRof2yYLaWeYy2dYxurZO9FGGY4HzM/rH/lulGdpTNcXdOhckeRTqd8khi8CKNvoJ+TnO9cQ36VNUvX9LRtv1kqEc6s2rnYGE7prOY4M8BS5k/d+6oPM5Tom4Ye5RfbtuSzPG3bb5ZKFOh05nlHOPpwBl9MP8P5mPlh/Us+y2YNv7MuVG4InlTtIseKHfUpcYEjUt88YcN85xryq6xZuaaHbexBvFC5oYSIs2v7aku18Adyip691t9FznCYr7gWX/TlF9u25j8+bNtHS0eU2Nu1NRQu5DR7bdpJmZhR6wzNfb5fNORXWbN0TU9r9tG2wdINuU5etVO09N+OfthuTl/GzA/rXznvb4H8LRy76lC5IeyF4dFiJGPTQ4x58Nj2M5Szn+vLL7Zt5Xpflu43uyXSyIzwhvPORu+i8NHK+X4bs0f5VdYsxY6abeyVvFC5IeKg9JZZtNqvb5m5afD7fvMQy2sx15dfbNtaXOmwbb9ZKhH1OvWe4/0Dkh7i0dPbz3euIb/KmqX4yGnN/j8sxf5a+8YYcSK29PAeJ4Fim6H0F/fznevLL7ZtLR512LbfLJXIOeET3sJ0TvNR8q9rXIo5ud7rLq2RCD1QtE9cUV6RJcTWjL504WcXc/qmoUf5xbYtxaNO2/abpRIhH0iHlrk7xDzknOaj5F/XuBSPwuoWwAC4C1RuKIEtPxjf4kGwLbSVz2ucMkLbd9S9ID6pnOtHYd/uFw35Vdas1N1QvD+A8WoXqNyQwm45NB+Op4ry4Fs0kmpNgucYRP2bwgzZE3SOoj+M2aP8KmuW/KeIa3nwme8ClRvylp6MFuUJ9Ld0eHsC/S0cWW94L0XdfD+oHPStJ7F1hFpP4i/68ottW3kvoJJGJ82etw6VEVF+xpnf75UKlN/f7hMweCfFuaoV4ZOKPb20o67It8wPTaitJnN9+cW2rbwzLPKfEzJ9d4HKHaFysL7+eIbUwTR59gl7uqOS9e1v2Fcn02ZhqRKgVVZ90ZBfZc2S7yVRzQjXwnao3JAzVJXSPJbyHhK/vt/AtBATV1c41E6g7ofXD6pPi8m0eMhG1VMty26uPf81li77ZQLeartA5YaoI1XcQnu+sAcMx67HYYYhGPPhez3Kv65xKT6AnmcRjNi7QGVEDj3m6pvq+IWRzxB121cjk0FHFQ5fG32y1RPMx8wP61+6p867eB/v6QGJu7+uCg7623tp2xjZD9/rUf51jSvrybXW7beVTyJj+G0bP72JxVtarpjzMfPD+pd4AJFfYcFPuwtUbog6e1OeFhB3fTAHs0lfzTNW5Yh6KRvoe+wT/6Ivv9i2tT7yqMNp3sUOlRvy1BnyYJJJiv7W2KDkDOXs52Pmh/Wv8QAil823nusXKneEfZdt717usm4PFopElWVO2Q9zkvOda8ivsmaJ04qzLAPz0Vyo3FBEDpxN7uDi2ihXs3Gg0BMV2lpHJxAb1NaPoj+N2aP8KmuW6jFP2/bR0hHhtOBU49pTWDFt6wNgUSFeEa+mcoZfxswP61+6btjnO31Ujp6o3BFysZ3mp8ZqymXbWlaQmIWc4Zcx88P6l67bac0+2jagRBV5ZvuWgdr+JrKBxQy/aMivsmaJ7wp7Kwc+wV2gckdY3Vzj86/PCefy8buHMgOc9S3/l/IxLddEWR1olObtmmvIr7Jm6Zqe1uw32wZEGb+u6aczvmtdfSx1+3IutjnhzOGc+zTDuYb8KmtWrullzX6zbUCUj9p6rVlF1bihzYlqLVxofdzJv3VUlQ4znGvIr7JmrQ4EEanGltOhckeGsk2O35s83bpxaTrybWveH9N+D/TiPCe3UXZLyw+ca8ivsmapLoH0O45Ud6jcEGWm++M3dWBq9r5lSgecObxrtgXKu7K21Qxs+JttLBzoDFKR2z5o6FF+sW1rufeHbfvN0hH1kRUZdYng3fC+rcK0z/Ou2S3nO9eQX2XNWj4oOOwCdyjoUBnR4DOV/lSHfXXwzUdN/obQToOOmMnCUUe44TQY/JnRPdOXX2zbmv8cPvr6tm/e7AOVG4p4n8XNtAg3Kl1C61/n6D4Jif1pg6dbesHnGvKrrFnjUFPgzeL+dR0qNxTrPYH22fR8xY043CKfBiV/4cBKiE6vF5pryK+yZuWaXrbto6UjstCo+X1W7xBCHHWqh0FYmngdGGY4HzM/rH+Fl+7Sv9+skUjXt7vZ2moqeeFGfjc5i+mY+WH9K9ftsma/2SaRMb6ixLkACfnTVT97FyWf3jCn+Zj5Yf1L+3p4+ilatwtUboiYF0PUreIUz0JouaN2w/slWNP8kDhvB2ePkyLe7rGxGs015FdZs5RLd65u+32tk0isiiJyKqOqHPOKujHJOJp96iOuFYVPGjqUX2zbSozz0r/frJHIUsTZmJaJQnOyjb1C8C8P3MzUxTcErl+RM/yiL7/YtpX7+/pN99svLNBgzWCpJdZs9gJ/GSX/usYVvzN1WCJu/F2gckeJooOudV4boqp9xNUQ06PmO8NQPqbVxyie4ratY9tcX36xbUvX+7R0v9ktEccgbDp6UFLEkT1Bt9hsH7eVs59ryK+yZq2v5mHNfrNNIgOGa9t8CrdobB+plXOaj5kf1r/UV/O0Zr/ZNiDUUFP+E1mKKijyjpVbZFzOaT5mflj/0v1GjKzgMdoFKjdkEMmq2zz+FT9GqlsUW85JzneuIb/KmqV78bRtv1kqEVWQUA10uUdjZaRWRLjlfOca8qusWVtrKCLDvSw6VEY0Rhz7yKGM8I6RWjFfeS0af4Lyd30C5b/G0qXfAn1rXWo9yi5Ubog8iHV/1+K2Im45xB/7azHYrSjaHlqG0lxffrFtS+/o09J9tHtEdJ8k9zGmKWKTYr5fxswP619b2w5r9tG2ARF/gkuNgYajv7HxkstYsJjTlzHzw/qX1q/Tmn20bUDEFFU3e/ycYOSLy4N2dq6tCnJOX8bMD+tfyqM9rdlH2waE6nEwbbRcF6o43Y4OmMTruantPqcvY+aH9S/lfJ7W7KNtA4qKMwoa62aiPIHT7m4WX0bJv65xLXfz0L+P1oyIotGNR3fMvRA5FGIWX8bMD+tf60FyWLOPtg0IDOFgt+D7nfJ5vGnxfpmzIub0Zcz8sP6lfqSoFfZetz6qJyojGvNERA6JmIWc4Zcx88P6l66b4VwQ7iF9oTIiS3VIPrTcm42YbUKbk8znETMc7Z5qyK+yZik/87Rmv9kmkUZHM99ySMZqbFmpLTNxxAznGvKrrFni6ca6FJBptwtUbijgLR1UY7RD9YIO21EnL6rmZUW9Ib//1nKk5hryq6xZziMOJsQrc5dQuaGIN1HVGD7MSdq2IX8snPnP0zHzw/qXrtsZK97HyPGAZIyZqueCbdldEax1Qbc3v5zhYPdUQ36VNUt5radt+81SiWQUX+bkDdl0lJN3rK1yvnMN+VXWrPHxGurWym/+C5UbkpXaov56yJ8bc+u6HMghe1FeGZk1QUwE8fAgzi3L/4lZrPUv97QKcyXfhcqI6o4I78HjjCf2R8M+Zz5K/nWNKzkcievdOTbdoTJDrTcx8QKmjT1TAxq7GMeuw7ECC2T0vCP6oi+/2LaV6+2RoRcjV+p2qNyQ0C9tk/3TZW/1L2Pmh/Uv5b6czBf7yIMxsmL07A4D8wOzO7T30pD5I3N2Bm6Nqb78YtuW+CtOa/abbRJpsiY07jeLCucYWicsmU0l5zQfMz+sf4lH6tS/36wZEK2tsfVak0+NfKJEFto4p6mG/CprVnLarzf4/j/e7rLXu+wDL9/881Hyr2tcud8i8X9t3LGuQ2WK6LcJtHtL7cQnbZOr6Zcx88P6lzhgTx6v/cbqJRExXSZE2undi+ckuZb1KPjtBma6+Zj5Yf0L160eaJELsnGGQ4fKiIZMuyFjrs9J1Nx73PIMUQaO7Cb2TGhPWXgxfdAgUH6xbUtcpucvvI+/94jEnaGw00iOPWEDx5NkbpqPmR/Wv3Kfcv+ItNH+oUNlRMO5avBmD/GCPpYwxGBEJEvGA2XkVMafhyi+yIUQGSWaMqW9OeZAllnOCtLUmci3Pi5fZpv/35WZzHbtnQhLN2Zv6FAZ0ZjHKPIRZY6nzJQV76vbm2amL7/YtqUctDPPbf/nlvUmkMyPk9mJYr6jpdSjSvM+DnSAyAFr0S/OD/PhY85dh/JfY+lSrP2s8toFKiMafd7SHy4jDr1PTL6FhjfUhgw832r6DE4h9XstTxW8HBWlD7YIlP8Ts1jzrdg/9TFufM4XKiPyEXdiClwFMbANSyZiQ2zDR88B9CY2devv72MKlF9lzZL/xLo6jmVO8g6VG6qvzorMUVveV0UPtc6yYtw5VKJuzFsarEPNKvZgpZ3mjdrsJ31zlP9Su3/pd+ptCwo7ntR2JwE9tXRq1a3Hfek/3KXDHfz/22/xq7Yt+cdOS/fb7y1nIe4MOacv38u/oGNp/udTs4/P0PBEoabP4ADKCNXramv+d2d0tTuwR67+fAHvs9g8UngSleadedwcftPWVztihapI0S8cjcKTmPjOkPXxQ9W74A6Qz/qXOeT/Y/NduS+CJX+YYz/ahcoHZAi1uAzOU6llux1eNT4XSR+b9L990ZBfZc2S7+Rk4N//Gfj4BySZ+2X3Cfi9db3ZDtT7yaW/W0Yi5vryi21b4vPhHRhndHWo3BGvO62uXvLiCM6cSHGZZNjSiFUI9xe/FfAkn56juufAHWXbm32uPf81lq78FteTuN+ey28Ink6dnGp7NXq6DWdnnEg8z+3pno+ZX2XNyjW9rNlvtn1D8heWv76c03yU/LD+JR/Byc6+C1RuSHKOCz5yq+H3qMtty1jk6vyWCabIZ2/MR4b9qb78YtuW8tFP2/bR0hH1/O9chWq9Y98G5RxY31g6NcVIXPww3y8a8qusWeNghgc0MK+Z5HEfkWB8V4H+1qr7jCPUsm4PtH2YoZz9XF9+sW1redUHx/suULkhyQ2vkQ9uU8sn1N5cntNhvgMz/1RDfpU1S/zMJxv8LlC5IckiLxnPDXLmXDthDTOUs59ryK+yZulde9bq7wKVEQ085pLj3IJTwen2RAn2+S9j5of1L9WinPr3mzUSSW54p0j/kT1Md4Zp9TV16aRZpA9zmmvIr7JmjVPw4HjfBSp3JLjhKQrr7MlQLJCYoZz9XEN+lTVL1/TkeN8FKjckueE9zo3u2KHIWQzM/NMx88P6l2pRTt78XaByR4kikfF4hojxoO2kA2L5zrNH+kSxzZAt/TRfeS3m2vNfY+kS//pp6X6zWyK/UZZFWzGixnxb7sSJ1If5zsfMD+tfuW7NGj5vd6jcUSQ2AN0Y9qnOc2OfkUWHduSqfJqTnO9cQ36VNSuxZq7LUszy1aFyQ9QlImj7CVEOclAcBz97uIcPo/QoP6x/KV/11L//D9s88bg39uIBfey3fvRi3yjTwMYPM5zryy+2beV6X7bt/8PuQP3tbevXG0zsEOXuBsMe4mGG8zHzw/qX+paf+vebNRJF6mjvWlXB5671/JumQLZx7GKY01xDfpU1S7zWp237aOmIqDbecwzVK01/azE2Mafvo3QoP6x/6bpRPXY0/AxdqIzIE39u8C7d7ZZz+jJK/nWNa/fU0ftjF6jckeAOH1ife2Zn7+h382m7z3CcxVRffrFtS3WflIFmPEfUL1RuiBgtkm0ZOmC2QB59bMgTapk988iZjMt/0ZdfbNtazVik/L/QKrgOVG4I3AL1fuC8wSHeKyNnMjo2HzM/rH/d3xGd6vwNsfEFSWSJFTb5L6eF7fDa9KczeYqea8ivsmbNF4IzfgqpeRgOVG6I3lL+4LYZznFiTnK+8zHzw/qX/BZnL8BdoHJHoodgIBZDZdq9IM6/ck5yvnMN+VXWLF3Ts/fiLlC5Ia+pqsYc7EGwTR8sIQ35NsPw52JGlPMdujtO9eUX27bmQ4Kllvs4D70XJZJdGuGhQQ3VpxnK2c/HzA/rX+LdOa3Zb7YNSHRbFJ0Y3cbWtNOZQMwldHJWyvnO9eUX27ZyvS/b9tHSEYnOl4neWb75FPDuqp+M/hMSM5xryK+yZqlH52nNPto2IqoHal0DHWUGeM9d3KTdX0bJv65xrX8pMR21PcmFyogc1Vj52BDY1Srit41T9AY/7BazkDP8oiG/ypqVM/1GnMSRsyw7VG5IGVThJs5OdUZzNZoXqLF8Od3NUM5XXou5vvxi25Z6wiK/xKdWqXahckfEtri1O8MS22Jj2R5mKGc/HzM/rH/punFMhN9SHSo3RJkRQXPMz1muhTwiK6hJPmch5yTnO9eQX2XNyjW9bNtvlkpk4FMIxrDdhmpIW/7vEEsZI1n9fOca8qusWbmmlzX7zTaJrKaq4I/xmW/xsPmY+WH9SzHeszv3/s/Yq3tAoqu3jGR9i3nJ+c415FdZs3RNT9v2m6USyb7p3+IsY7Sqn+9cQ36VNUsx9bPf/C5QuSHZG32IEMjogYzdiBnKazHXl19s2wpPysWetN+4lCSSrEsW5xGr2E+jyStr1cYMIxb3iW0sy9oSb0bjQvyiIb/KmqUevGc94H6rDhwQPI9JhVbPDNuS4nxUT6tCTC1uK6sK52Pmh/Wv1Yb+MXWwVn3Jchlka/6YyL8sKOlMYMYbFEqa0Lqqxyq7dP/uJedf1bZ0L7k/UXPXklMuQta6Ko+KPAMaifhU54h/rw8H1V7D4ojPUNxVg/A0qlZ1+nnM/Jjmpb736g/VyuydXISsN8jMu6BRvlu3rGSxqq8M2yJ8qT4A1nHFbkz1881XiFQd646e8x/Hz6+wYsnnWJ/lOhY/Fx0qdxQ2oINd3KmKTMsGM05XpOKxh/VAvp0EItB2dECYasivsmbpHFh/VujgfcOFygfUWSMt9ehziGrnlsdTnyhEpo+cMvwttMy8uYb8KmuWaqlPtuv9n4H7ekSCJVuyi4OHC2z2rc4buXixefjJ/oo29WnMDuVXWbNyTRN2Sgn+0F2gMqK4EcNuZH9JtRF19amthwae0xTZsxKJoTB5z4weyKjQyfJO+IuG/Cprfn5N9VZf2tForKKXXKSM11M0dBqt8oaVMA6rq1gtcSyI+nibVdnQvlcjgF0/E8bxOzm/zqKlvVH6E6NuO5QmFymH+uUY6ZTEWgN5SsHqV2WKJNPhoT6C9O9wG0RLd4uG+zBaykLRW51cdKbJdZy2Aru6+4u++bjqAxt94BW+DlH/va3wG3Q15pD6mRBvdnZy/s/ObOG33nx98+m6sNOq1aEyIrWhekdpvkvrMlXPiUodCNU7qjGdbg5vA5SdMrKEeDYbnShVY8fdLKqEEaDkT3r6JPuWvtiS/1K7V34nRMzqp/it3aEyIoXzokZCF8+ekOZz1HAtBkuRyVRfMzxDT/N1zOFYtxUeGpjHbsPbu6Ljb1Nb8l9q99Jav/1JrbfWKRcpp2pq48fRCM8lznbQ2LzV5ZFXirrtTobuPW3qspq4A4ZG6mNS3BUZlJpp46tQx8NneEWoRibOCdKgmU9ma9yE0Nt4Cj/blv/6Gfz8tzNoDMe34d6DMgBXz+L1jqTdjUFj7wpoSTfIsKjvFFqjDV4HFZCTw9QbGR+jnZRRjgagsGNd3DE0PD0E8DGmhatLvYZSmtXcnPyX2r2Uz39WSO0ClTvqK6soF67+jZkmTtRYwhzVtdl2CqN+dq3j8RcN+VXWLPHinpU++z+3up8eyQqhuguBL93EAyEWrA8eNkXxt+YRmI+ZH9a/cA7BkkK1z3snFyEbPGUt69ps1TTHtRgGj5WzVBtttnpTVJnelvUcVWXPsqrftZQlOxs/v8KKJa6W+l7ZtsaN0uQyyPxW4re91fQeIhkOkk01Lo/wJyV1++ol599U9vMr4tDa1WDnuXdykXKo62hddmGBi/W3qq90vKUdjuIGTJ2Q6fMbf76+t42hiEQdp37X0vt+Nn5+hRVLDHb6j3fMdHDKRcqIPXi+91WqRnnL69lW9yXeWI5P1NeN1/wmRtKb1xxhVAH/Ho4OP1VuTIn1OfOmcUObqquxJKJZct2qtmhZhK72Gfx766n02c78n5rNz39Ti5CRNsSidMllkD2RS8Eap3Aw4/O4Q6BSa/pML1u4t7Smh3o2Zn5M80rUpr7GneMcxFMuUk71hdb6ImhQ/jpmlNewsh6heC+Od7yjO2k2Tv5VbUuV7icb/v7PyI0vkGTRHzr8iO4/smdVnQfYm4/MTE9sypG5j77oyy+27efXO9q6CkTmn7jkImVX7/Y6wkZyfblEPlNEH+D7pDnG4BHfjJFle/hKD5nGQbkrcWDTd2OV6ZwRkS4fmTNtZkP+ayxdyUgBhyE6ftHJvkPlhpD9ooyyB3KEmGOy7n/+1FNhZL40fANdiDg/BN2MlG5c5V805FdZs+AxcPWXpM7NeycXKSN4ZxOtvgbhEhvpjqDGUZbjfAahacu9a+p3EW+2ahynk/Njmpeq8dB+QHMd0SGXQa4/ZP1tOW4EeYunr6ceTlotMF5w4f7dS86/qu3n18TjBkTwsVp5yWWQKdBGXRtaU1famXmQGyIVjj5DqW/kd5uNk39V28KJGi+6xvF4yUXKut7Ujk8IGiEWZzj+grQOZ+j0D07HP05Tt4/ZOPlXtS1cE1MfPqups9Yll0H2+o89/a2X7OufbYsbIp2qbtrT7buXnH9V28KzQ60C4PfZO7lIOSBsYCnfPmCp0JrlDYn4mmJnnkjCOBfFo8keggd8x1d5I9+GR/4QBfHKVFd+nUUrewXk0lYV3AmzQ+WO6vpa9ziWEY6gKgb2aZrNIncocI234awXzz4TozzyVRxnBBlUj6hoj5V7w5iWd6ZftOe/xtKFPUZ07BjGSn/KRcqIx+hImuxG9Dq00lt2HNPO0aTIRaAso7jJ3sbp5PyY5rUoKT1G7CfpUBkRmqDXBytxNyiQEgFxHT1SsiqKLaJIDC5aeXcfRaD8sP6F66aoJ7WOzPfQoTIivaHXh2790RUy0uorjLOuVKJPGn7CvoySf13jyrsQrjF0z+IeshcqN1RfvBW5li1PZ4xg+L2BkvaKWgSblkn41syHUXqUH9a/ct3gFuRuVrtA5Y7cRojfm+gwWVHrHol3CLyHGyOy26Q2i4S/tYjOFw35VdYs7ANdpPJV3AmXXKTsKcjIQdqgqXiIdmBJo3iDTjg6UnsPzpmGx6LtSGZj5sc0r/j/rx5c+z9DR67PqPXTkb12vCL+LtP+RhmRyh6sVKjy2NgXMaC5vvxi25Y6FZ87o33cJw1I7qjA51H/xllXB+J3uAE3moqaa7K/jJkf1r/E/uIpJBADM6ycqNwRaoXwgxOKQGbjN5NDVYg2qvlv0T+iova3uk/AJxvTNnHX6XCwgWBDVp9a/Ulfh/JfY+nCXhspTQ41bHsnFymDzNxxLZvBAuCYBdAgebBu3DihZkO8nO6o2Tj5V7UtXBOjsKxtiOxcchllKkxga+qrSiU6ERkPjxD3ETVEq6Qo9sDtpTi7xcC5ppij2+BnrAcvlhOOTxR5rDNJf5S3nJ+EIDznyc7syX+l1Qu/0WnZPlh5yRYNEepLfiOZkmBp5haeKyqcqjKoCRT3RrTYdiv2pYvZTsbPr7BiwZ+kkRGnDVHOd6AMADWwSjvqsuoRkFTa0rLqPbLbUBDLIOA79EKqH9MAtGp7pBXXDSG5Ded68tsMWriy2BIrdOPBRC5QBgBGQNX2fd4jo7A5BDyCFDjP6NsUxeSnQ+cX2LCQ9YAyJGeot8wll0H28FEbfq4CrRORniutDh+1RRzRaYqV1U9CprjjbMz8mOaFNyHovNxGWYSXXKSs6pGuHpLp/YuKWsfsKQaDHjKyl53iNcDU947j+KOp76I/NlH1qAGRtU0+jeN3cn6dRQv3ITLinPdYUy+5SBkhbsfVXXVJ3SDTL+02hX2M4fe+Qo6HGe+Y/k6ajJ9fYcXPr2E98iKH2lPZSgfKAFJEpnSgJyaAhEopTqwL0KQodFkB510zAWUI8Ggr9v0HFCrVv/B3pnry2wxayJkEubHa6sYY6YoXKAMA7zxa21PGIrIyUOhDqVlwTVRATIguGvoYBVsqoAECZzBiudw0fwyMImpTdKcRrUgFVC7qwFxdP0Z1pXNz8l9q94pf8OIU2W8MIxIJLhKzUW/Z42S+eQ6ksc+Su8luzds2HzM/rH9lF2X1n3o0oej9KRcpwxlhouHdS10vTKCoQZUtZPp3h393Xo/f7eT8q9pWYsB1O2sVdSq95CJlU/dvliP2vmr8Y9uG2LpUP0PZQR7B/foLcZTVIGpNNUYeiVyWazJm4+dXWLHGooAja2zMaxcqN2Tqk6DS1ioo4MVVSXFesfPwmkfeh4B9KcHDxlVeX8bMD+tfWMnR8TIQgcYpll7kiCbz8G9wZDnyCiRwCnBCCKrB6yuEdm6But/R61hR+0I+dJxf+6wjv8OMlYgtRZvqS4QyhztUbgh1U/VJ4Qy++jJW5MPlqKgzcMG4dCD69bnrwea1umL0FRH3SDhqfB1xb3zS16P811i6lKFXXzQqJcfFMRcqN+TJXdNy5GwEq+qmGifgFuCO0dyLxin4fivi51Jv9Enmt3KoAsWY1yfBahQFaozC2KKk2PzCc8vyf2IWK7sr2hom8BHsApURmY3cbI2JwICNBqj9LeGTrW+nwTqkkmnx4WjJVcrZCWhIRIh3PiHS3/jKfNGe/xpLlyLgOBol9kL3qNyQo5UtHnx5ZFvLzKc0uvrJI8oMP1464tHgL62W2jYmMp5Tq77RKMetKOgP+nqU/xpLV06HjkPT+yWWXkz1FWo2tq4+/H+OGBTc07r1etmoRJdyxLpVVSyJFPTmYjiikYxSSyfmF9q0kJmAxkHWEvfVJRcpg07fetJPKfuW+5UZ1KdVmWIsW6j7ZM/l4qi0tNZx3kA9WljLLHiT8fMrrFg4zaA8LgX2959yGWQwIyTODSX//saBDx/A07YpyhPwaBWHQlX6GOKm9WO0a/ZIgjy+jwe1rkaGxgL7At8xrCNs6qb7kvNfZe1SnwHUU0VUr+4ClRuijnxRNd7eiP4I8ajZx+Nb33KcbfpllPzrGlcybC5etf3GsiYR+E11TMx8EMGEqiNXClSELJYYWs3f5ul7rSdcIq42florQqbKkcEbQFFRn7zQ6jcS/uYaN0ik0gWTGsebYHyb25n/g3NayqY9M0/3ex5qj2TGKg7qhPhv1PVd8dNar4sNxMHDJx5UmmiVGuMS6ukr4h3xRkxx1VrmWKobCSCe/QaO2Kr9yIKdWpb/E7NYYRKo6i0od/ZOLlIG/bjlrFHHLKg0S4f0PavZ+Tv5bv7XNSzMHWkbFrxQeyeXUTYH66tDm7+6M2B3+0Z1ceRgx41gXeLNEnx0hrJoqZbbcv7XbPz8CisWrmECcy5YmfZOLkImehrLkVvh5+x9lcjjsIrDEpNx8q9q+/k1SXSoNzHBOd6BMgAHr4y1dPZPKJFQloMnqS7ZFWjNm/x67FF2o+NsAs9/HYCqAhJ+5QpoezrXk99m0IJPlVIqEWOBO/MCZQBgw66nTc9HHSr69VxG5cBPrLlDWkARPB9D8R34XjR70+ZD5xfYsJD9cOYC7ENeQCf3uQOIE9Z9MmcaIk7OFbAGxXyUtUnfjfiuHsfp5PyY5oVrdVY+77IKupe7Sum6W67vjsiZlWDuoO6PZf7dTs6/qm3FS7L9MYZKck6x9GKCF0LRPqdzTnQeBEsszPQB66i5NeVURPBO+GGwTszPqV5ht0icjrhfYulF3KLtaVdE79ZY1LUm8tBWbQPaSc7ux6GBiHvohYrYlpYDdmJ+Vv1KrRmuvaYq2UsuUkZJg7HbyZFrzNEB1NabIDXT8XmOv0/Gyb+qbclrH/6YxLVwp1ykjJYXpnFx9/0z+t4YzoKBq9V41T8bZn6hVhqRna1gmzetGSNSykxrFKjxUCW+CBMT8t9i6MrdiQw6xGv2Ti5SBoGODXxKFJ0i+g4SPmH3zbFphZ04d12nXTwz5sFXYDkxDaXCts1vojW/2LaFHZ8yKO4kFphLLqOMkk/aEwSciJrvO/j6H6IsrEbCr2i4h0LALt/w/jUQl1Zo+WioSXO0RgaQHzauruApsYfO8gH3p2Zvb0D+r7aGdW3U7Ij3dAijc11FcNQSie7GQDTQzNsVkEyoDY9PRVtcsUrN0YgGnuaCz9NpJIDMWHOX6YAkL811mwF1A/X9RGOCZFfrxNtPKvylh2Z23fL/u7r/4tVdYiE7ebj2OyuXQJK/CzWpdV/TotBggtBJt94ghioDvW7dYiP3Y2iZMgkbprMHagLVzdYi1GA0N9vRTRJZH/V6mE+29Cj/J2ax8N4K1v5xiXJBLrkIOYLA2isqH4jIu/QbRUYjWrU47loXiUMmGOYF8w4Zydsl8x04GT+/woq1XQ8XS+m2nThQ+R8ImwsVGwdA3X0Z6kLEVZlI90YfHPs/RskP61+Ju1xVwPutJvgzavEEIrOyzA0YEpK9Gou7CkHRc8idPMfK4qmG/CprVtgy6wcdYuN7Jxch11+2PiWRu37gEOVapzE4FB2fPIm2x/nI/35xXPbcl7Px8yusWOp9gF7jCV6uXaAyIupnhxM671lR/VsRM8sShSLuBOb9RJuT+ttzAiPFwipqHduMp7+1Ha6jT26cSxepO2Xa2vcQJ0OsLt1tESj/J2axwjZkiMuL/FSnXKSM0sx2lrCbR2SHuFstdkfWBq6WwTlER67VJL4vckTMxsyPaV6431PdCPqNuX5OuQxyUn88c3ZpXn2ZIw5bG8/JEPUtp7ES+/GJ7p702fj5FVasxJip365CVHsXqNwQPUOgPCIEbmu9pdYDBoztQBxzJUYLtOVhxB1/+DmhnBN4vPh7isq7W1/Czait6waEsvr6N17Jqz78zeimgXvVbC3fF8wbqvFCUPFN/STvaL/MKP+fnv3KPXN1X9pvvZgGJLo2GbKb69a+fS//go4VphVLmZUbc951qNwQMkkq4joIQw7cmPg8RdU6ddfKXYmNB0FBZJdP/Z6yxI4XPozZo/wqa1Zy360jt0OiWXSo3BFOs9bw82Ud8n6sZUttQAaJdczqZpH1UY9fnKnsDPXLPk7BhsY8kCKkj4xyGrP1iXEbeknXTUbjREG3KxN9y2AnZ0biu82iQk/btnf4Mof8f2y+S/1QQWSYkiOva4fKDTEl8NZyt5yD+2zj7CF2TKXEPteg6eQT284NFUwV8RX9oiG/ypqVZw0ptZocj7tA5Y7gAQqcCaQs1q26TeG6SgteCh029hVZNKTQPrY+xRuy43zg82MdE39jP+U3ffnFtq3087T2jz261h9yGeRImTScvdjFB0TcoO+WXR9Le3QZ/zxmfkzzAscBqtW1pzyGSy5SttSAip4C6+3JhW1BfYpbgGRsCrxv34VMb77ZmPkxzQvXymJLaqhfxSWXQcbLhbsDDr1Sut4neP3r7cYJJLiCPo+fX2HFwjVM2PZs3NinA0UC8pLXMwBn/FG20capR05T8jz3HqWEGhQcUgEnVU1tzEc5Hzq/wIaluhOQEgQmprxAkcBoMpfrzY0Glc/muewDtAc4mdC5t+44AfgQjB3EMV9taPJcTlC3FRgg8MeQ5F2/Q5sQHWm+3Ae7HrQxWmTScyZZ4FVWRzBjUPovAA8dblYLkP8PzXXlbITMYUWX6JKLlFE9Yts5F1O23BOTGsPWhYjW5T6JQWQZRGQfWI5y1oWoBUJRL7Rx/ZqpV8e0k7mt19Bypxd0cK7LE4VYUGmk+SyN7cNhy8Te/J+c1QqHDlX8eErQPOUiZfQ+SSnyNOoUUmrUNQEVRRxRbvLG86if4bsv4GZPgSPQ6P/RqohmuvLrLFrZKxLnZnJ8wuhQGVFAVzidPGfo0D4YqJ0+cC5MTukPCMnu8Jqn+5gC5VdZs+KvovTq2LrRdKjcUCIGgK3xwIOFR4XUuvUp0EyGyNVeX0bJv65x4VlORJFJD84hll5MIOtw5Aug6nlLGy5qrcB5JKhEVpZeNZ9HyL+hZIXTm7xgCEGfYulF6tQcyY/RKewscli7OatfI6nfsT8fC7KjXRiSPJWneqTPKvIrrFi4hofCXeo+xc44HJUUb/mZOCu0TCbsYIkbq66XkR4HONm5xSs6YCmO8HvE9zWlU+BFori/m9UYlRzinlL5uZh1QwcyDqOgQKL1B0L2QCvMBCWBSRxPiVSCMV6/U8z/N6a5kL1+zH7vL0Qndndr92x3V+rz1/K/NvISa3jLTd5lnnIv97nM2LMbc1SZpiq3LIB66jX8O6NXTf2ua9WtVz+0vk/aRFd+nUULef0gE4nGICZ3yUXKvg4Wmc0i4iAUHW2ZIzZv0dEuWPSF7PtFTsbMj2leyZcmKtzAnSF6VG4IuzEVAvvnsfHC3qJl1KONNBBnGaPvaP0k7zRUpFEs3x1fNORXWbPEA+H/BEuRmUsug1yVBE8nBe+jqTLZRzTFwTX+5/okBWah8kgrCcwRPxszP6Z5JV+FQ9iRskYOuQxyPRRo3XjDr2xn6c27vHyCW7znf5+Mn19hxUpX7XrASaik2ju5CNkhcSB5x5XF3v1pWbkO1IXJ05PiEGxL3OfFgYgpNWZnzDY19me0IE2avakgyUpGjbp6Ob/auhU/FeJsyuC9swtUpog9KOCvAqcu+1nAmqsaj2b9L1hVTMs9MCiir6jFyeca8qusWThLRqR9c4/2Sy5STgGeKXqSIpqNWJW4yg18m9pwmduGz/BKiuQ+y/WDUdfvGu5pFEFaUOdL/w5qV8N3U9wQduXK85kN+a+xdKFG3mqUl0cqeO1AGUAEY5hzXNYJqowKjiQjtMxyrhEegtJNOdWIEhvisqUNaUmqLif8t4324kfFeiBldGKZm5H/MntXuutixaZ0s1Msgxj+cAUQLVZK0e5So+W8Ovq3gqJJ8797Cg9wr1umqKaYN3JC/iQmzcIF4qpmjddyYBeAr7dioDeFBhM7F5KBQrm+pGkEhNC57AwpHn+i4sHq9fWBIxNIXqTYOJHLBdaGJyPSKvt5gvn/XYOV/RZOHyCZwk7nlIuUiaiIvdsGW2qd4rXr4V6hovcnktN14M4GkzHzY5qX+FQNwsv4qXaBygeUaEPIOSGeqrUbD9HQ6Up2wcKc6ih8UrHgI9KNtLciZE5p107Jc+35r7F04Ux1cmvvkmdbyB0Xd+DM8UAy+CaazFEu5uLmUBnzmSM5xW7qxuPdyfkVVqx0IQdz4kYsM5dcBrneClbze6rv+d33Akcr0rprIRkHRstZ5NTGtc1kNn5+hRULPsotYX3Ae3rvQRmAoc4NvCA4jsfHRtwJDp6NeeYczo5XSoaljApm7xb5GSJzY6o0v9q6hb3owRyyCxKRSwSB2x8q4ysDMURP+nARsHb8I58HzA/oXOkvBcK6SNHrSy5S1lR8azgegMyBTXNGlDKHiSI7TWSbIWnXk6fRolW1DjSPma78OouWci9bVsY+ZGgI+cpi7LIb9UZvMe6Pu9EbXHOwBIxvXNE7GzM/pnmlngpuV/yUeycXIWu8mJXlLXG/H+/26bPv5n9dw1IdFPZVytIro0flhhJ4R886nUR1OgeHpKwSGqpvpmPmh/Wv7Ovq5t1Ebut3ykXK/a6o3y3B+V9XffZYd/1r+r42kzHzY5pXOrlSSaqnCstTLlK2dVNpWtc4B1m1HqcGb1jH3ujulNWfmqiQld+Ys/HzK6xYiA1CKxLg4OrvQJEgbchutcxokkAMjpwSoloUJIw9bWJEvKk+LPS2mQ+dX2DDwhlC15s+YOu9d3KRMpifAt/tGu7jkOiX1cgjCZyxqNFAJbA3jHb1IZBlGgXTwSkex8c/oTG0T3Tl11m0sn6C6UNzH6VTLkLWYLn3xjbfFpxHrfq3PlSeWVg0Slk85y2gf0OVzThOL+fHNK9kDEETEjT2Ti5SxjHHh8C/nINMnnNd38R/PHeCpMCdd5wDjV2T95sax+nk/JjmlfuqLuceWUJ7Jxch0+nYW7+Nv273q8++m/91DUscNTjruqQtc8ScqEwR7Y41dcL0W+sdiO5tSA/gXOotcL7ht1FaBdWj+lf4VECzZLiK7pSLlBOiUcwSpjfKBvItZxDsnOwpnHw3/+saVvi9cHREXSUzY12ofECaUOtTh+hPMFxJT1xYFfFv5iJcJkG1jnYILVTEOSlfNORXWbPgN0OGYEC6w97JRcq+HjTqCkyZjEiWD80PhVYLIZD337n6VgicvOosZbK42zidnB/TvFRfi8rUzSjugHahckPoHVI3H9wTyxL72uaY18ES98zW+tbV3aLCJ7l2xDLjhOGV2lI3hE35ozrEoqtaqxXBY4e/uQ/ae5T/UrtX2JaRXm904M6/JygD8AgQG9NaOCEZ12jPtxo6J9d3u2ZgLzAdLT+jdiVivYE1nPqnX3KRMqgBqeMNyQks4xweRV/vjX5tjdzQKtP7H5F4t3GMdTJmfkzzihfpSibYh9SCEckkBLSbrYirQDaLdcD62Fhi8Dtax5ncX8bMD+tfYaGtHzSaOkJfcpEy2LONIU0BDY0N9wcMSJo3tlXDXbkzfX6N4E/teFVnuvLrLFrq6YBcbY3I8iUXKfdae2t6PlqkMIOmgj6v4eNnvtjJmPkxzUsMevXN2nz2p1ykHLezBqO+TNCEwrc3y5m00id9ONpRjIN0cn5G7VJfTRRpEVHwLlC5I3QADS1bQRu8LULkNwlxEleL2t9cxB42cfqWRtI8EHkcNNW6hMB1C9ohxhkakbk26EYaji6XIFeriHlWvliW/xOzWNmjYq2rK2NinpULlRvSYM2qS0Jj+UH0wTaOeGscfbL9bT5K/nWNS7U9G9VWqsC1NCcqH1CkKkze3aIaW0XVcmyow09Utp3DqDahVXY65ECgvxwzNSnFd9T2UcOF8ottW8nJqMY40CHvnVwGGYyIlryRDlm3jiOlDk4ox125Z9/N/7qGpbnXPSt3TL3kMsh1D+GOzHn8O2dxO2zTnGFr6h6syp7l+pM57fU4k36GE135dRat1EbRasc8sqdcpAzHiFKxZb6h0JKZkMilcpxFlaPOqZDNpv5w0Euhh3JqPTGITKXVJH3WlF9mzwpHUzUj1d+OmJIOuUgZzP7Jc4WHrfuSFLiqw5sqR7orrK8Hi8Z0Zj11l+XsECTOJ8dNhTDXT+N3cn6dRQunbY8Xs6GuQpdcBlmjsIOjWNQq3XKGXKDkdSahUZQtEW7yBmJHzcnLaOyrjGlsNPA2NJIYOBs4HQpsx7gf6d8Tyog3pqXBFofbaOoYOUuMZBDUqI2/uqkzeQM5QO1Wnk0r/1+e/Iq3G7nU4LqjHUGHyg2hc6AOik/5DicKTZyCBc2BwC0Yju7FiNNrn9r3iNvat8jGOab5oKFH+cW2rWTgw73JPHGXXAa5y2vv890T/p17DRs01tOO3tcG3DTauXgb55LzY5oXVgr0BreGOfVOuUgZNPmW81IteHmsI1+mRRqOdYrfxRH9Vunwa/ECsK1e0Hn0ImXOuMn4+RVWLKwI54ttFy85IaMVCB4aesnhKMmeeYM4m+IMFIOYreL8daOIGYFitmYjcgjDL0i8LC3NRCcqH6R10cBFr3QjMbteqDN78l9p9VKlieb8172TyyiDEJbfTIEoX0OTqfEGvffQalhzHAulbGhoHu/jnHJ+TPNCxiAW4Xqcpxr3Uy6DjKITp7h+HQmOjvJTvEcOsaWV1wc0BOc7xiMtSjPl4WzM/Jjmlezlgy9uH9r69XLHL4eaVdOyDBI6b0b2ASZ8JrCvX7QE/DxmfkzzSrdx5B3yr3vJRcpEEuzId0T9vMkLRzHjRGTVkD24Rw35NKi3t9bRjuN0cn5M88qaAgcbZyRccpFyRJtSjm4YlC5pRfFyg/RzzfFGjV9acz7obJz8q9pWTl6GNFFZ6ikXKfdae2twl+tN8YkAwbPUak1RWKe4GnUyZn5M88I7HAG/eqKhMGMHygBAp4iCGorobJZy+cmpHRSdxNiHQbEbELvQizOxA4TyxuZD5xfYsJKFixMhVpm9k4uUHU6QvAulRUhZipLNPp//lVFXshbBLIfTx97JZZBRzh+41mNzaOPG+YWgllKJI/mUOpda3uoGma1H60q0r6CZgFet9d5yFEpp/bnQUpn5mZCtAvluwyXnv9LqFcaORpC291xpPXXdRabWETOi0Y3iNQukV9SJdqC5+zRY/mV9Kz6Voz3yLlsl93LfTpn6JrcIHV4epnWc6fIfRZ5jz7fW87BNdOXXWbRwz1Fa0uYp2bgD5Qa4eJVe1W4jDuvGiuzBbu2pIi6g1TLKWpmaVxG/NvOETofOL7BhZe9Wb26vqGfmJZdRRs/RyDuEtCG/n2p5UMDqFedzw6ftt/Z5i15iFNGejZkf07zCTubQV1Ur4gU75CJlUFQ45kyoayH6M7IXCMEWx7n+BjNx3oXxu52cf1Xbwt4N6bCGY6GXXAa5KjHGca0cMpU479ij5Ly+PSjjqc9+6rN4ukwcD1pTw7tQj3e74VpXHlOT52FmQ/5rLF2pCETgYduI8K8DZQDobcZ95eCZReBiaw0WPYrHNs0f89j/b5pL7wLyhTZFp3ODNi6J+W/qyAmyuWnpQX6xbSuZS8giUwZkP7tAZURmwxveuNZV2FH+baPQNcSycJAHfBkl/7rGJR9mizbvY+S5k+kwxR2X+oQ0kWOGM1arRxZR689j5sc0r+SrOtQDk3f7kssg15/Obrx30MQlx+zd8PhYzkwOaNdgIp9A4SEyfBqYjZkf07zU2S/AtaM5BtihckfoZGns1rIf4EI1tvWb35D3ZVTrghfpe1urHJiPmR/Wv/Ku8gnVEZ4zvTpUbgjdKPQWju7ojDh/S0cE+DbPvM1fRsm/rnGFaRye+UDv1EsuUiaPWaToj4sazQiP+qDL49p7Yifj5F/VtnAuOHfbu9h5y1046lEN7X4M0oA8rygUZfNK3Xbqk3Hyr2pb8UHVX8Vb4vm85CJkUbvb1/SiVNE7y8yDOKVYri3v6mBlvevn8fMrrFi4r7DBI5fg3slFyhwd4xp7arzO0TENH41u3QY6D7/wZvfeaSoW4932TFd+nUUra2M6ORUvuUi5j8b2UVqaYSS+b2TIHBxKCvvpKsdxnE7Oj2leyjrc/kSE9PdOLlIOtsqaeaVCAAknebcsXq5Ra87uqItW3BRna2jwStDZw8LhWmX+97qJDEz8OdOVX2fRSnXvEW3cZeRxJveRSuy69UZeR2cRUUj8GeQCa8UUc+hb0p4oZ5Qi4qE/ByldChzxhJc3Ba7D9bRNcF9syH+l1Qt+GzgtkB6MbUgHygjQKIiIa4n/CNkzuhH+o4+C5upyj+2J0kyn5TVqxPXGvQPQLFdpTrbzlI5c55TuejqQX23dCuMmHQE8RWZPuUjZ1tOWtq3lTrfq9KvF5Lv5X9ew0oUFm9INi+wpll5EW9Eqp5aGvp2vflN3bdqZ5qpAOg0vAxu6uXFZ+OcR8xNKF7x31pk/NlLb1ksuUgYZv+MKGYOzgOP3POVdWo4PGtSLWq4Lm42Tf1XbyqkVnZAtc12cchnk7vfpfzeD92eTPVpvW+5BH/AeNkcPdIeDN/t7FI7k7O9BwEVrjlkRAxnnDM5syH+NpSu8ohH1xlwVccpFykhPNczeYxEWNMw3YtGivsUDBbtnz/rZxlHjmJ2cX2HFUkU/WnhvynEnxwuVG0Jhk94c74U3S4k53N63Ivok7wOrrY6+pz+N0qP8sP6FHSVifFaT1ZdcpMwd5nkPlijPmuoRKd3fMlOQS+hOry3v2QIYuIlRaTZmfkzzwjoS6k3tQsSqd8lFyhT749wSk0jmXOkunjiNOeI/dRw3jtnJ+RVWrPQxpeh8IjrQDpQRIFaieC9Z1zqq1+HWbIoadafG1GCJRpvSJEKiPtvRfRitA/kFNix5IqiraGQOuA6VEVHRJnrzMgJxSl3fmJnHgQsbiP0BFLULrVLRWdQV+8CrnUPeGbwK7voetSrjMR2QOfQBBc5N+WJZ/k/MYoFnPaBWIiBQsfegDCCiai40lscNqyj4wXh3TelsQXMEZCMGU8+13wlFb3UCngdECly9CpSeFQx9jM5xc7357Qau5Itd98h+u2OG+0dwtQkeN89TVbyCe3yjfo/jlrRk1fu1Mb4FnKN9Up/uybn2/NdYurCaogRae+KLu+QiZMsFhex96/nne176jfjqmdN4Mk7+VW0LuzG05jPoZbZ3chlkD55nrmrZwHfNex+/ITNmU1zVAmYjjiC7gOxB3oPPxsyPaV65VoeXcJceQ+E97KJ6XbRPVAD1lUE4i+iNZIfIlubIsfBCTnTl11m0cppCRK+eSiKfZi5UboiZAhN7ejZEt4D4b55Q4AjE5lCOtbnGSDace8SZaK4vv9i2peuNyDw6vfCcTlRuSM6p15/QXgpBe1o+0WimAtqWpsSBf/1pwB7l95iyxJnk4NJxpjEYnah8QHAE+ba/Q8ynbmACs1da1Lab2Jgt0Sq6nsuZiceCgwd/40+KDJQhO0UnQqYhhOGM9fqjLRfK/4lZrPR9jQq7GkNZpT0qd4QgRLAtHy8Ss5c9GKpwUqvbSp695u+1nmwKJR5Bc27MFw35Vdas8KhWo5y38PBdcpEyKAbq4kLrSqgbdUqYIQ9KQN6z5jVG/XGcOe/qH8AqpMZxOjk/pnm1z0xdfBN1+utQGZECRWTdb3MNx4n44EPlP7G1rDoR/w1VCSpazpX8oiG/ypqVa3qtwPttPR5WZ9EfR/bOSUgHUVtrIAv2ufo9fjNtEVv4LbJHgFYZZL+5Dyv+XHv+ayxdYdAET5+OydMbrUPlhpKvW8rUGOkC8bikxlMV0XQB9DtMdwmejYrYd0K6kZZC91CEp7oijptIFJCjglHiB+09yn+p3QunZFdvEJMC1aqccpGy9+gqRlEug1r/Q471iNU6XRs6uyXu7IoQfpXtOE4n58c0r/DIKVT9JmSQ7QKVG0KWRx2Yn1M0/0HhJzNXghid0NZQXXuT4U0u9eGqiM693zTkV1mzwgJy8GzsknNDyNgcevYFUMTVU16O4OWYfDf/6xoWnj1yBdcXNjmNLlAGwB07OS/YIHhcAYfqNbXv9I05AcvtFpjOxiOVaYv0Ftc+cg0EkwbAY7dxfF+DDeqILWgqm9gan1nANhMlPGSOor+odLOtB/k/N6OFvTCoT+Dk3C+x9GLfd7TrHornsF4RLz/cifnfG3olvxo1XIZ47naByg2FusIZZVpmMtbE+jfOoEjYwRjFFaEqRWo41/iKvoyZH9a/0p0HuwCMQ7uNDpURDfqlbWCUNq2Nb31fU+PV1DrvbOwMVfo+pkD5VdasXFMQdtZxeG/doXJDaE1vKF0ZiO8Fx10yEzJ5jOJuyGBZIJr+Y4aGPsn91RPWCoMAB99fWwJy7W7TjjQ0biSafTs7DXeiuKLDlZnPIf8fm+94X6h2P1Dz6np71B1LnNA1gvwMzqq9k6k6tc7U8aoAfirDxRcGS4hxXKcKQp3mcjJU8NuI5UAWeMr9mJecH9P840ulHbqftk6Mp1yk7PGzB9X4++pE2P2qQcxhuK6rnvzr51vHxYibjfkTj3H0OGYn51dY8eNL6HAq1OBC2zu5DHLC87C1MjAKZVH4Ck+i5mO8w3lHJ8WfJ8o+bW/jXHJ+TPPP77aTuWqXLFZCvpiueiYwY0ECnPgRQoGZ4ojybJz8q9p+/q5yiNXxJvoQSy/iVteG0paxUdWaTrYRafRMh+sQbOc8B01euMRkYDjq8d2PMB4TgxuqSuD8LXiJdBy0dWJ+sW0/vtw2wumiKTZ9yWWQ4ezhVBRZ09HXeqDLPcevHTaRCDXRdynGSnvs2fj5FVb8+BIq9HpLVI1+ikWIASRrHLdXyNPxTFAPshyulv38vfzvDf3zNxaCj/R+3Du5DLJDVwjDKxAiCdz1oN7Q+Exs3LXoRxbs7buXnH9V28IbC5QCmsoIL7lIGU0YLbuWDNphWaY8F4693uHniFp5U+M4nZwf07ywNeDFl1lCD7lIWaMDFhPU12M7McxwDAvMW9q2bBlsmTkXucucEZkw/eLeL/oTvfnV1v34kntEM3Qgl8klFyGLhmJ9ozGk5GpONJh9N//rGhb28nUj60yiGulTLoOMt4fT7Eyrq4qziWvvva+y57dEfWc6wzX5SFyp33W3cS45P6b55+8w+CacpbSfSy6DXN8SjkvpDfL9HQfiDR4DZ2kNqjImQocSAy9FXambbE95Mn5+hRU/f7fBKWBDYIaMQy5S9q7KMTbZQeaMP+frZ5p//ZIdCmwtZ0Q6FNge8mT8/Aorfn4JT2N2YZiQQ31n2hQ54a++Vy13/vF439pIj1OT6SAiJjIZMz+m+eevdVT/UhupvZPLR5mMUdUO51rNMTpXGfKEeVuXLKdb5c/ncfKvavv5JTmV7tIAKVvIZAz2hs7TWcujILQezlhWeNFyqXVv/GTM/JjmhUt1GLBLY2YylmwXmBnQhw15QlywjvXJcuywn8hknPyY5p9fqtOAXRozk8HD6CIdR6hJguPUwcN4P05kMk5+TPPPX9/4HHWs3Du5jHJdS1LrOo8T2tb2zN2aJNcVc8qTMfNjmhcu1WHALo0RcsShlRsMGjqotoLLbh2S68o1kcmY+THNP79UZ9/Efeih2Mtdn0X4eurRKd1k9FPcaI/tEDB3zIw4GzM/pnnhUh3G7EPryV7u2lPipeAsuUUcYozO8MauN34yTv5VbQtbyiOrdZcZrr3cZcHKZbpbdrvdzWyc/Kvafn5JQA9P/7d3cpEyctodO6qn6023vM7Gyb+q7eeX5DRgF8Z8krle3ro/ftua7CGHcQnu5W4is/HzK6xYOP4eT/cun/QPMr8NuhTz7rYWx4juWCDeGL080ZVfZ9HCa71uQlwirr9LLlJGLL1a1z9O46M1PDbulG2oL2nOB5uNn19hxc/DXMgT95p2PZdcpGzpEeIgkSFiB9onW8TZqmzp8/WnrJ/R43c7Of+qtp+7/Ey9xX0yxHVxykXKYH5sleHUtMwnTlXsZXTQ85FzkIM2kO04TifnxzT/3JGMRlLEf7J3cvkoc6oFTlmRA+ebwb8nzrzU4aD/0Oh54Dz9u8b+uW6u/WRMfp+9wYqfX0Lwj3oQ3e6dXIRsUJvrEjOldAb3E5l9N//rGn7+oKHVVj0tkVf7lIuUkUvubZNt+OO5hYOBw8wzERRVCFaZcqO0hew5TQPUt5xaNhs/v8KKhUtYX5bOU5uzSy5S1gl1bZw6YcGz40NLuEbNGgcxJ9/N/7qGn08dvVvrEYmSTk65SNkGPNGJZcQyPP8OvZG98ZNx8q9qW1i5NvTX0WTkKZdBTvV21C3BUNXbtzXRCODjbuyASIBz7MSfjZN/VdvCJTkM2KUxvdw/uf0TTS85LlWszy8ox/ll2U9kMmZ+TPPCuwSu0cQGn3KRMkhVPafVGORsOe7k2uRgx8egv8UnY+bHNC+8ew5jdmmYkD39Vmm8rfvbvZ/IZJz8q9p+fklC/YNHd4u9k8sgIxGL+yRbcK/WQ7ghGf/O/ZLk7d49BpMx82OaFy4VVn7Pv+cpl0Gut6nngnKLhC3PiQ9WUdsEN06kn+BszPyY5oVLhY1UoO4/l1yEbHVdar0LjeMTxlBeSG98P6nZOPlXta3cPe1wtw8HvU7uDoMWy4vnnchhvB4mIo38PGZ+TPPPnRse2Y1oXrl3cpFyiAbrARmG/g+OeUoceZ25zLAqQi8+2s7b5MlL7cdxOjk/pvnndxXYQtzGGUanXKSMDoSO0/oM+AidaoSdHZl0TzKNrqItWjYbMz+meSF7Du4Ap8ndcMplkOuGxHnuwt27D3q3Qp/b1ue8TcbMj2n+eY7A6WTf5873XrbIQ0uOU2LqPzXfn8efm2fGoyHGEcHvo/mTMfMrrPj5JTwN2KUxvYy2UZ6zuD1aA3rmbvOo1HGRfvNqfDo8ymIikzHzY5p/fqm8UmgvS8lYp1xGGa1j6davLxW0neL2d7x/ZgrdjRzrFIqejZN/VduPL0kACU/gTlyXXKQMcpdgaDkOaCRRZRgTkQ8aNu5VnPCZjTsaT8bJv6rt55fE6/An1HsTRp5ykTJ2JYGJewP6SQQmjo3Y+QcmTIy2HhECN9mKcA0GS3UlEZ2cAzeLmo2fX2HFjy9hAslKQknk3sllkIOrMoVxEvrqJk+nqYRGgMlQqkxCo4lkiCtnNk7+VW0/vyTwwKgNTYP3HpQBoEEbKt3DCEBlHP+kyDS5G8icUmhckMiQSYGW6PnQ+QU2/PzyUYOfTVMJYQfKCKjTL4eTkzfQ3IhoqungBVHcvH5jKg+mUZ+Pl59S/PMLdenepSESoL8IuDIdA38C/NYbtWH2N+vn4+WnFP/8Ql26d2nIAOj2ZTYfAaqlG1hjuLAE1luyPt3mMh89v8OMlc0nHBnkWrvkMsoaMm8B4XlkXvW63YH/hwLPnlxrjlam2Tj5V7X9/JKcSndpwFRGnD1SOfwhcyFX3dl57jLlQULmvXXjRCZj5ldYsXAJDwN2aUwvoyTQc7OLgBrmup6b0eDJd/O/rmHhiHIo3YUBUxkdIsNGNWz1zVpv66S5PDCgpJnCiML4yTj5Mc0/v1SnAbswRsrY8XKDYB913Qnro4F5qp+xLOMMlvgA0U1kNmZ+TPNCKWtdAIKl1jKXXIRcf6t6gGBGP3EGE+eruqwE7c3w3V7Ov6rt56c8eOXjRm25L7l8lLFOBNDpRG5gUY9aESQBdIvX/e2fkPjsFJF6lagmdzZmfkzzzy/VacAujREyOtUq8kkHZH9G5mgKsa4H0TSDPbgVaNsmJjIZMz+m+ceXKuL0mJhU65LLILt6/GRKvRjqnj9xwXtEZWTaKIs2IowYEwWqI6Ik9acNt3EuOT+meeVAjINQIKqmDpQbMAT4iKRwJkiUUZw87WA5JpI8HZ74/ZkinbFcvG2WJZgqza+2biVZP/C+d+/kImVKjfdcQEGp8Z6iJ15zKJN2OmhD4w2/mMG63zLZZmPmxzQvVAkn2rmQb/uUi5SVReZs5JbBG7Jlv+6HxdFkMmZ+TPNCnedhwC6NEXLELmbjkEB/1OiMnHw3/+saFsJXGps8LjQ95fJRptvXbgZOVzIMRVpB89Gh3yz2m79+zzwZP7/CipUDD3zSRFR0yUXKQdNmcdz8efDa17XLjfJknPyr2n5+SSIGD9RV4ZLLR5mUIoktJGLHqceLakDgKEkvqzqf4KnV3WzM/Jjmn29NwY4TNaWYXnKRMp70aPjYgaS/QxYbx24j2O+9J2PmxzT//FKdBuzSGCHXhzwyH0CwCcbzb9jvq3vjJ+PkX9W2EKaibVkM5LK+QJkACmdQR5wt0X2bNGi/1UbPu9z+iY3hdOj8AhsWSvGxAePCiEsuUnZIHXXcP8chlcvGszbNM7ka8XZ4Q4Hs2Tj5V7UtnP8MnmD6MS+5SNnWX6+eASgK6+vhKvJvF0HmRZHtKqOyOXj+jMFLNpDxszHzY5oXXt11Rx8D1execpGyxlk9be18Xt8Egd2xvWzroTZy8cRsnPyr2n5+ScASkSyll15yGeV6hg9U7B7waCfmSYrIuE2OiuMPmV6aKWwIcKf7OKecH9O8cKmC/pMSJddccpEyaD0RmCZfBpJpEH3dOrBxMkk9F6VE3o/ZUPm3Ff78wiC/Vm1IPN57UEbgFAWb4wgifEL1Y1ROLEE/IzHXuZ78NoMWLuxp0/7F2gAibASnb6DuaCgyS2ewE9xmOB86v8CGn1++y4z9m4Ebmgdt1t2BTjDQmDTOYz5afkbtz7cPl+b9m01obQw/4R2YAAMt1aic4MM8ejDVk99m0MKFPW3av1mr0O1n87TLjpbeLs7dgZjUdLT8jNqfX6TLjH2waQ40vRwCbbOjo3eIbxvJHoh5TEfLL7Dh55fvMmMfbPoI+Cel10ZM4QaQGYwGjv42j+nQ+QU2rBydDs37N5uou5xi7p7o6bUR2YwD8F8ozYxbLch5TIfOL7Dh55fvsmkfDPwC8Nqo/7uDQK+axAYe4D7d6dD5bQYtXNjTjP2bgSirUYoTqmNF9BfVg+02j+lo+Rm1P79Ilxn7YNMcgDtfqbYBEyChu6Rqu1QBxAynQ+e3GfTzC3uZsX8zED16lbLsHkSNW/0LmyGsnQ6Qf03Tzy/FpXmXZowgVuAoYT1GbNgVr/kJN7lCt/kOtAx/NINUvP2Uk5rqyW8z6OdVsFYjCsw9ZE65DDIC8pGC8NZR2ppuNadIhqTf3KKZsfdcDA5eoFbcPRszP6Z5wQkA/7qyGzszTlAGAFK7CmI76Gi6+9MdqI1eEVSoo+GlaGA+dH6BDQtFxOb/6+5dcnXXkfXAfo5ij8AlvknAcMOAawI3p1BsFMSO598w4yGJQYnaxiLuEs/tZOo7/9qMLyiJIuMJHmPcnV7Xe3ftNgiWpNImyUCeF6bmtvXL2hpng3Hyr0qbmJKDQJFkxLX3fwK9/waaLQSurAAtx4LCgGwDIW6BEi2FIoMx82eSJ6bqIFAkmYdrJAbn4WC5l3ddQII9CgJCOC76GoUigzHzZ5InOisdQosgIK59XViDw9OJBR7B0CLbXhNhv/XkB2PmzyRPtPg8yBRB7OmaSpjUz0+g7EGrVTruc0t+NE7+VWkTFUQOoUUQGF+nSiZQBQWorsTXFqx6gVq+yutGkeZ6NH5ejtHE1B5kiiAmrmOVHbgyVXNtDawq5HtsyY/Gyb8q7edTcgotQzIGYkM51t1AbChf180hBBrh/tfC21AJh478aMz8meSfT9VJoAgygtim9Z9INfPFtaubmUqA99EBrrdGkV6p0fh5CRYT9YwPMmVMsp6o/kTt22uqMJwgGImOGa0ig3Hyr0r7+ZScQosk0F5DQ9ZILVPFNcSJRo3nVEF4ME7+VWk/n5JTaBmTgQNUpDhRGyF0xNB/b6/B+BvJdSrID8bMn0n++VSdZIokJq7r9j9SXFY9h9f/7qlMt41wTVWq4O2ODo21Fnr+RmtNr9Rg/LwEiwkDzEGgSDLtNawAMWCUjXX1zBkjlset/9n+QQMbXEPKk3OqV2QwZv5M8s+n6iRQBJnhNZRDiwk/zQ4Wi6pIJPLuIn8pMhonfyZ5orjdQaAIMk/XvErYP2mjjjO6PvWRcpmPa1bEgiKpU2o0fl6Cxc+n8CRTBLHu2sE1CoVehklRHcj6DYJrVMTUo0NMN6VGY+bPJP98qhJUhtEYH3dd7+LagTMqccYWJP0msgg5MHonSk5xpi4QaUuq+7ftdf5VaRM9m+vbnbzGnkbn9S6vXYRgSPQAODBnJEPtnJyu95bs/w5uZbLUVGwwTv5VaRNTUvdlyWMBsOt6l9fgQUqBg7IhVpSvoVJxctS6HqpUJWdUr5Qg/Dx+XoLFRNT9QaZIYu212Sr5SP3RDLwGfO3rYpHC0ainXnvujtUoNRgzfyb551N1EiiSjLgGMom+JRCsnBI1Lgx1F5OoH229hmeBu/c1igzGzJ9Jnpiqg0CRZNprcAaojeL+HaTXp8QNixQELlNvp5b9YKD8u+Im2kedDEpHpwNY4Yz2KQ6jeZSnHJQAQT8qcF4yRivT8x3xl43WiFa5oZi8GJ+Zft8Hi9JREgCefbVpzBx0CbKc6i9IFr7OFeDpTaoxHC1/I3YiVx/8sptz2G70AnsPAhD01BjaBPjFYqIgdo1Qm6GyqrC7q79QS+1oEGDx1fHQeQEOE0npmA1APZ8asHfA6IjBY0jdY3Q3pa16DnekvFWL4VNc7mo4Wv5G7ET6OtaoiGiebMDeg5jO4DHP4XZhawDVZmA9/F0poe5QTl6N0ERZPAz5UVTE4QJ7BxwUMlSaij5FCE8G0S2A18MHfL8SsQ1YaJIOy956dUafjeXk1QhNVIbDuChKu27A3gEMtlWG8/YNAMW1plulhLrD0fI3YmfKXGN8j+HK0wfYe5A2DDjDYJ+NqOOmqlJ3SD3d9BAaDofOC3CYmL4It8c6rIJwgb0D0AEGIvmwqBS4YOov6gEojOSjzD+hYav7WE5ejdBEXQsD43ta3S+w9wCqICk69ASNL443dwCVYSGskt4vfFqoY9x46LwAh4npg3R+FbF6cwP2DiQUFtEiGqDscgVo2wsG153gVK+HUHc8dF6Aw89DNy8apeMkQN36/1F62yjbW6PkQGUKN2BLfVSkHsPR8jdiJybJAg1liO0J9h7ACVMr3GYFGy1Sx8Rw2NHXhTromx5Cw+HQeQEOP+/8Aob24NCweF3vj9cY9we1Uo/wojZmsIklHI2Tf1XaTAPSCCFC1LrvuN7ltdb6T6Cq8gZLB/H1KLqrDZAbjJk/kzzRNPAgUCQZcV0HqWuBpet0XouAt4bwYJz8q9ImunMGKNyZqIXocb2Pr6H3bqR9oojcGkV3DcbJn0meiI4+CBRJ5uGaAmm1/VM3Jra7bkOKuuirS6nB+HkJFjOhwPFPtGi8ua53eQ3H3UhF0EUszUMI0u3fNtf5V6VNxKseBIogM7yGVuCYltTF27QxM4MQpNGYeQkWExGHClzw2LXgut67a3BXkMXebnXNTNSbbhxo0sTkDMbMn0memKqDQJFk2msoUJmo7ZUIHGmDP1rCg3Hyr0qbiESEaAWNGenX9S6vocp1shsFqjWBIG2AyODf5v90CRMhJR49MRzlcYJdArcZbL2DCx32bgSPA3lisNKyJpepcIS1LrLx0HkBDhNuNnC+qA0j1hqw98BBZh9VAnceT5GK6sFuYMzlMoMePF0VsFssof0ce/OMh84LcPj59F00iuTUATRbaHbRJ8yfJDOvMmgLx0BIDw20wABseqXGQ+cFOEz4L/GW1r9D3+EJ9g6gT1V5NE2eAK0+hvJXrSKApkmDjwHUDa0Pi76P1oK8AIefT99Fo0hOkuCGablBC4B3HnYzYA3mJkeYdc4e2kap8dB5AQ4T5dtPGqXjJAFairgbK4QsV8mePDFodfPYMkLqMRwtfyN2psb9QaN0nB4B3l/oYq5Usr4FpIePaL8lrxYEiqhg003DoZy8GqEJ9y/Uk9JVHHpbT7B3ABv+ac1Vxw0aIPFI5wMYxrWiVwpsK0pvBIaj5W/ETqT9HRn2RWbbD6+b1PIm5VzUh2jrPbTN5Zvr0fh5OUYTaYIHmSKz88X1lX7e5leLvGsH5r+Ncohc3WPUazrwNGU4GmVHsvJyjCZOqAeZ8pSiTtdtGjs03cAS+B35wb/N/+kSZtIEWWgZZ+2314OcahuwFoSNzTVlbAR/3v9WqcH4eTlGP9/tnTlBpc8Puq7bHKI2AcYp+BtNJx8Nti7axlv4e0fnzsGY+TPJMxkETKD0eUDXdZsr5OopOwZLJAPYrihwuCU/GCf/qrSJjICDQJFkHq4pTrrJCTJgZ+dr2HTHSPeq7tDrtXG9UoPx8xIsJsLfDwJFkhHXV66QyCGydRuQ6mEGCUMbi+R1r8hgzPyZ5J9PFSQWJypBfV3v8hqq4iXDe/L6WU8aSdZrdaRh1a02KkWnRujIvlHnIfiiY7v2fTh+XoLFz88HkGIFseN4TLzA3gFq7Kyo0yxshqCIOcW8bhitT3aJuoj8SYkCCIeD5U+kTljfjtSqItOsxHWbitXkFCWH6VdkW6hvQXJkGYvQnIBDzgdj5s8kT0wVOOYj5dKc17u8DmoDzzOn0kCvUDJjgTEwRHotICwmhI2sg/XEEjjXCNo8hGi2fszmOi/BYiKrHEtXUv+LBuwdgLYoSrlEHiAMLHKUQIl91hU1u3AK3iBF3cEcvC5gjr2P1oK8AIefhz3pujeOCZuNX9e7vIb4Il5ota/frZjQrqUhLj9GLLIw+rf5P13CTMwOpWhoCqM5wN4DCGDePBXSg3BbcE/QgR+Ke24W7fAnoLgjiPWrhzmKsgFbIPuUxnLyaoR+/kw5CDGKdMfP611cmy1oCD3i6zO4rQ16q38PJarQijUaJ/+qtIkpAQNJ2ojkcb3La28xSoteAgdtmuimKKypRPamRhFJ8nnM/Jnkn0/VSaAIMuI61MUxKjTN1WsP1xzEdsUEyhi/U5HRmPkzyT+fqpNAEWTENRgwo+bXu40JFPF+J/nROPlXpf18SmLAQDQ4k13X+/g6QViR3W7BbW2AWhPjNxonfyZ5IuL5IFAEmadrJLbBo+8wB7ReB7imiqlNHGCjyGjM/Jnkia0CzDckgpXmeu+vHVxTVCi2o6Nr+LmulVSm+ApuE8FqgzHzZ5Inwn4PAkWSEdcODR5UPxeqRWyB6udiM3s2+SuwH6ExVygyGDN/JnnC12OgQgSuGNf1Lq4t9GhOXKvS1nU1eSRjoUFook7p1lSuyXqKX/Z4jA3dOO11/kzyRKU6TE03mATbgP0GwOZh2OyP4VvWcJBWxLgsqrgE2XKb4nJKmAS70aEKMuigS1h4GPoCeTVCM4F6GiOGFAXJHWCXQBxD5QFVxH+JWC4LQTcb2zUxh3hL5NMaysmrEZpwdpycSkdQgvbkrzcMUyJjE+yiIBiJzSZtmFgb8iXUHcrJqxGasPdjLFeg0KYL7DegLmDxMYiaKqHgoxO1iFkiw5YMBsPeH9vT0BfIqxGaKJlz0igdJwEcPiCJg26aALLnYLC7hi3I34idiMw9aRTJqQcKAVGHsE69WXpX4JViIMOhZDTTU8zYbSIEyEuzmzCSYzSTwkaWDdg7ALs0qL8QeuChIFlViiqLaPig6k1GoIUW+NvQLcirEfrxxEKlJOw/b8Fu3aL9huqZAZZ73MVBS09E6E2CLvX4vdT0m6MCI2gEehszfyx/Yto8ttrxkWhfaL+jSHGMiVG6UOWoz2XrQoEQtZra+C+x0gMt/G/y8sLcZqb7pFZ6oh0KGDYaU2SUEBFRKAR2rFKdgi9j5o/lT0zbJb70ZDoULX4B6B7W98icq/6FAithz3W/U+lFQl6Kzc+nVEGmZuWAgTIt2oeIaBtc4j2/XBCmVn/jl8sDNW23t1Ho6/6t/Ilpu8SXG5k3BJXolKYIXLjr8M3zfLclkipJNJaQF+Y2Md0XtXIj+obcBlU5EgbX0JIOSCOC/1eaQrh6Bcdj5qXYTEzpJb7cyHQIvqoGUuCRKFRv0tE9IqGERGMJeSk2M1N6Uis3oj1KDfJgHTOKPwEQ2gsIXycN1U0rNR8eFBxLyEuxmZhSPGMYjeeSFu03FC0QNVhmp55K4ItryGtHCSVQVsw//LsW5V+XODE1EO2msFpOEWgfIkv3EFYh47AgPxw4gIzVEuG/09gKvP7PA3qRlxfm9vPpbqiVG9FXhC9CoMObhhjZ+pvxDwqOR8kfy5+YNqy5azesFtii/S/IQtiOpdz0usZoeLmoxXqPIOm/rk8Y/fI2Zl6KzcSUXmTKjdozwuVaYzan1YF+S3CStYrMDx2SKo0l5KXYTEyph+Xa2kRKXGi/IehOoqzfmrt9IKPgE2CpcEtd/OHwZg3awyuCM4k1/KqNJeSl2ExM6UWm9NQ6FPEeBnUgj4iIaljYLdXIqSrBWdmSt7FT8EVCXorNz6fUQOKFcg6juVq035AFH62jtuP19QCijvom1/UHDK1OY94FtNCG3yjb7G3M/LH8iWlz4EpyQVukfaH9hjx4WlzECPiKYLmuiJRA3zS2pkEEbgBn0e8Kq5gFpNXDmC3KS7GZmNIAYd8uWdzfNWi/ITinKs9fQANh9spTm4L6IkHQrgv0OlkL6d6Yy3AfpUX5Y/kT03aJLz2ZHkF3As/fSoupLi56uttYScBRMGanxMuY+WP5P582C83uVX3+0d7SoP2GFMSRezbdW6ifCggXaAttRJSnOud1SYeXxKtAKgX8S8Xr1VhCXorNxJTCH9ZdkyYlLrTfEURF+ECrkE0RfuNvngU3KJChdSfCScMb/m08Zv5Y/oQDYrNYVNuQK+pC+1+Q0lTvg1HCsAk6n26U9OIN+/o0RkQE8gPCDq0iMlO9SMgLc5txkyWyLBtyU51ov6GAhilevOuA8Jv1ZABAx1Q9fOmHf9ei/OsSZ1xhp/jSkxkgXKA3yMOFDWkQiF1RwsMi/SYK3fMW63p26r5Iz/8YphO34qJWeqIdShCvo6NLjPSFXj0zQt0XCXkpNhNTepEpPbWOKFiYVf1GbIxMg958MUKlFwl5KTYT5uKLTLlRk0iBZcZs8XBTtU4rSXs8Sv51iRNTc4kvNzLP6Fj0wZiqEv8GW5OKnnwqnW+kcz616o6l538M0xkXGrxAxjtHTqsT7TeEZxIT/F8t4NLF8DJm/lj+xLRdZEpPbYDIMQUlv+oxjY2wh6sgCOQfVBpLyEuxmbBfavDSWe8xMKVB+w2RWT/Q4a0ihejJQNsbWtF+yM/MWEJeis3ElEIubT0wsBH2QvsNBXAAOEqFgFUFLDOKTVhou3Yb1k6sqxH0grKJza54PDzRWEJeis3ElCZIU3BgkSkC7XcEhVCcD2SZMSm2hlY0b5kUnv5dg/KvS5wwtimIjHVQFbEItN+QRnvLxtSk2bUzn0LyQkVPo7Qofyx/YtouMuVG7Rnx/YXaDIfRygS8h4mMCtJ23Sk4lpCXYjPjtznJlBu1Z2T5lQmXjbCzZHf2aaHgWEJeis2UK+wgU27U3pAF44CnnoyXlVuiwApKS3ar7lhCXpjbxHRf1MqN6BuCKnnKW+cfEHTnqNTozHui8KD8WEJemNuMew2Saep2i1S60D5CvDWJEM/jQzqQRkSWc6g2V/9SkXVcOiOEo+JFXl6Y24xb7iRTemo9AsOuTxvTZteEFuhQSbofGgVfJOSl2Px4ShNELkMcPiyBDdjfAO6yVQh/8yekRJ1l0b89Hi8vweLnU3gRKZLVM3AI4MChqJF4CphzE8kC1Hl5hCbDwfMSLCam8JRdJBEJIiz9KiVOqNuAVGS3g3SHtfTHA+bPJP98qi4mRdJ6Big5UVYT5yNpMDGqRDHOQpfxePkrwT+fqEt2kUSeAFV+qg86rAiaarz2yHjMlfWHMg6Vuas2FpaXZDXjZT+plL/QVLBOaKM3geg3KLxflQ2JkUMUWT3fqCeVHcvLC3ObmG4VMV2OAwcutN+QxsQ6dyQwQ1ifdrxCweai/iUHB4CNsarLaaMOfTi8nX6RkJdiMzGlEKCiNHwPi0D7DTl0YUX+BEBAHyCiLT3g0js+HjN/LH8qCx2zZjbFmd4H2oeIIyzIoaUOFC4kXbI312rrAR/Lywtzm8pCP8iUnlqHAnw7DRsVet+i8AP2DtpWwbGEvBSbqQz1g1rpiQ4QB7tYcG8ZcwStCHdtq+DLmPlj+TNuXzh1WkO0G7TfUcLMBY7uAd9KPc8eyaACYdK9VdsxCri3tHVPYzYoL8VmKnMSfH0uHnmMB9qHiDO9IeTPevpWagyfso5WoRORCwtKxipr6fPwIiEvxWYqBRAcpkklTsE70H5HsGF21K2sRxCYD8Gq/gFJd6105Y7l5YW5zUz3Sa38hTZm27ojSRl8jFU8+xalEuNR8q9LnAlOgBMDZs0UgfYbMhCz64znPEbwvtQdM2XbHn5tJdBGKr34w8fy8sLcZtID0e0aFeXeXmj/CwqwLXbpCBUImCkRJaIEZuErfxkzL8VmxjtvMY+Bijo1aP8LwjpjnhpOcEKep44TvQ9HembGY+al2Ez5RGGYqBX7HQ+0DxH7HaG8mE/mcAC0fhrpwxmPmT+WP+PbPMWXG5lnRLQdxFuE7cgzY1+MFujRayMUHMvLC3ObyQsG7x4+8kWg/YZgjYE6GY5eLmgXfhzsjMJQwY2Tm7EKq06023sZM38s/+dmZ43Ga09+mAvsHYD2YuA0eHdKJQeHEeUcg3iB4dB5AQ4zORroP6H6li3a7wgS7KAEASJ4oRQUHwAEe1r4Sw40harh0MCeglcNFiDd1JEjgaWY2f44lpcX5jaTv3FSKz3RNyRLL3ZlGdHopY4iOkLdlzHzUmxmkhTOyoBFoP2GZEXBiP5BTtrDWsFHwWuobg3/znr1MEqL8sfyZwr14ewnOo00aL8hC3dbb7Rfq8gi4uhzIhMY4ToW6FurUsBVLbiHMVuUl2IzU4zvJFN6aj2CIBRNZefh//G5oDAqTR5tKhfeqfQyZv5Y/sy0nWRKT+2GIiJOGIGthtZsjIUmS1DvisP7NT0lXIIMonwUR2FKdV/k5YW5zaTEnGRKT61HolzoS21LbWEzUlXhgmToflV+Y3XRUevsXfkX6fkfw3TGFH1SK++0Zd1L7Wz4Q1YiRBuVG/d3BV/GzB/Ln5i2i0zpqb2il7qXGs0Qmrqh1/9Hn7kx4a7ui4S8MLeZeopnNcsi0P6OZE1MjbWOzEYx8xqSq+pfUvSGtnAq1949Vc9sUV6KzcRZ/xJfbmQ61NbL7GppSuSdxpM3IYe56InLQEoFx/LywtymvAIHmfIXoi/VMzXsJBU2eSSVkJoxDwqOJeSl2MyUrzzJlL8QleVJhe2oQ719qFVwLCEvxWamfOVJrdyIPiPexMjSpQJFcFgY458UHEvIS7GZmdJTfPkLNQcbb+Mtf1WxuPOBEnw6jOVjZYRtuDH+SaWxhLwUm5lc5ZNMuVGTyDvMTPfHJyAhIsv7Bn3XjGPr+oaFnzkoQScMsrHs4ZTqjuXlhbnNeliRWumJdkgU2KWqmyYoiba7gi9j5o/lzxZZRTKlp/aKREndegIEolE7gexdwZcx81JsJqb0IlN6aq9I1CzGryQY4R9Uehklfyx/phDBKb70ZN4RmIftYag4EPvMMfhrO1JZW5VexsxLsZmZ0lN86cl01EQ5567UM6RXVdpU7Ecq8TJm/lj+hD//El9uZCSSFbJlOedA95DXJOzHZjlWuFNpLCEvxebHUxrJoZPQ4N6AvQNeo1EX7TcngE9hdBZbg+GXMBp0/Aa0II9Hy9+InbEfOYidSEfPixPtPdLQrU8FTsPSBmzoPnEY64G4DA9Y2/3RKmw8Zv5Y/o+nzaMLUHvsBt+AvQPYNVZ7tMEEhflSDm1cYVOY6YM2RI9JuRXgv0losLWYZDUeOi/A4efTh+4+nfD42oC9B3hg2jAXrbLFSBYHtz9QMlTEVSegU1sHDFIPGL+mfbD30RqQF+Dw4+kLCiz1RuOOtQF7BzDMz5jEQF0AEwDq/sqe1I3CM1TAYrmGykSNh84LcPj59F00SsdJAAOvhyGnf/ABf7HxRn04QP41ST+fCgNlfY1XEEHagP0NWE+nGSRooaJ/BbBShIjBZs4TgOxF4+guBvimGQqZGA+dVyP084kN2IFjwyqiDdg7gJyswkDRqKBspaX6OFHB187EZG//pgX51yT9fCqwwLmtix4QvMDeAYjsqltHDIgPWLvGkss4GtxGak97IFgcrKLXYzha/kbszyfpklwkDclpc5g8hIeNCCWuoK8BbHqigzXEUrxWxO4GllqXCD3GQ+cFOPx8r4/bZBsxPLYBew8ipvhghkC0kLHuyEFWQUSAGiY8xVBxiugj5XK5ZjT85o/l5NUI/XxiHdxspzAIsQF7B/A05wzGHCaFuRYbfsyTxqUmYRBHwqXGUijXeLT8jdiJMGfsigF/Vlqw9wBLcGl81CvAThpE3cPXqO6BEDgs7ceFKoaj5W/EzlQXgMe77vQoYPhC+w05CODBrw8gLBQXPGWkblgPJXDw5YaHm2DJ8fcyZv5Y/ky6O6yjIVpOMD/RfkPQ/UuF5BSjiIhz9uFEF7heJOVNh+CMGGV7GLNFeSk2E2saPOmKurg0YO9Ba4cRFhrISYG6z/hLpABrfG9icBgojJar8dB5AQ4zhW4iuSyoTMeF9hvCgEmT+EXC0B0Tt6NgDOzNfXxCG1afiBQx+CIhL8VmYkoxSs+agEbrBu1DRFH6DvcCNvJKhQnjxnNSBHjp68aUfguQb2q1exuTTegLsZmJpMUk2riRYfFC+x2BSdDxSoWx+8dHEQLU4eO5sSt6A1u/OxoLBHieXDj+HajrIIiSJEBacOCUjLH0/I9h+vP19lqdSrdUCSBWtATVOyBNEjYgCqqcQJO7FmCilsL4bIv2zPHQeQEOP5++i0aRnDoQMRcAPxUJ4n3PZLSW+niA/GuSJqbilFwkjWeAnDZ42lXCr+aZ5XdP+evS9y6lxnLyaoR+foK5OJWO4COg595iCD4aypLFtmqRNGSAxVCkhsOh8wIcfj59F43SceqAvYDGDAal78ChL4EqcUmlhkPnBThMnJ9PyeWNk4EWKVobBvYCLmJhQsXUI1I3Nz2GQ+cFOPx8+i4apeMkQaTUBHwjPJZr1PqBeguGo+VvxE5M0kmjdJw6gLlDVLHWYii8xS4pKWDxS8Nlf1vgKalGbzcNh3LyaoR+PrEXp9IRfAKObjYuG44NT7giUXmshB4b9klLIDQcysmrEfr5xF40SsdJALQKaO+plC2WDHWkFAN712M4Wv5G7EzJ9oNG6TiNQcAFJYQ7wNZHGOXaKzUcLS/AYaZc+yG5vHEKsK/X1KRHALWBdxD+zgpkSJPQaNKqNZSU16M0U8j9YFVe+FZKFoJK8KheAYabcNfdei4f6DUeL38leKKM+ym7SCISQKwbxIVguf6Ekf+KIgY3DVX+zEZVLjYoBAKs7E2X8eh5DRoTJd5PJkXS6jhuyFEbtnTCMmIUl/tmRBVXqjam0abVbTx+XoXIVLv0g1i50XxElvwYSmNIDtnVNov1ZzX7OKR64zHzx/JnCrKf4suNzDMiapDteITi9Miief1oSW4xSuxQSSo4lpcX5jYx3ReZ8hei2PnAOG4O4+A8YCx72zolBBqPmT+WPzNtJ5lyo/aMiOibg8hjWKLjbgdSQYnG8vLC3Gac/qeXrfyr97lJhM5Jk7hCtzOpQRH7DcfNPqCA/+5QdywhL8Vmxld4kik3ahJhOwm7Ga7vhR2GE2UJdbTHo+RflzgTK3GKLzcybyigy1FZpg0mF7uxnxg9F6cSUqXxmHkpNjOtAU4y5UbtGT14eGEZgt+oLEqvkkBjCXkpNjNVHU9XePlX7xjvkHChQwCbsvZoZG8pe80zwrL9lqvQQZ6C1duT671FeSk2M5UbiUy0VCvxRHuP6ucRlPAbByKB0/xERtFfGkYBI1PdXUGp/Iu8vDC3idiKi1q5EZVIIe2guCAgvkBceLpTaTxK/nWJMwUvT/HlRuYZUSUjBTlrlgv7QSmjBmGJKRu2R4RF/A8Fpbpj6fkfw3TmVpzUyo2oRDpgtDDX/oS4DuD+pMR4lPzrEiem5hJfbmTekKEYa+sfkMdOG0kfKmlUKT4oOJaQF+Y2U871JFP+QhRbkjnFGxVqUL4xGQzXPpWQKo3HzB/Ln6k9epIpN2pvyClAXPOwXmyIiGjcsO/G0XBHKCjRWEJemNtMO6uTTLlRk8hvmHfB5XojmAqc5pJ8HYITyqmSVHAsIS/FZiYI9aRWbkSfEasETaIcR9J2KHlQwvgnBccS8lJsZqb0FF/+Qi0gNU9VuzWsRvCbeqAt0XjM/LH8qcZqB5nSU7uhNjxYhA5rbGvvuFdMVQl7H0X9oOBYQl6KzcyUnmRKT60jKqKxtYJWJo6bnmiNC3s8SldAMLELXLtQwYHwfIKEui/y8sLcZuuEemWODl0H2u/IYcZb4FLRGBhv4oE8Im4LBScNT3mp0AEAeh+po8Q01hTZuHOcDhRsb5/kNSj/Y5hO1Rc9qJUbUYkslJH0NnEpX3iCTuThLOP583AiK9R9Un4sLy/Mbar26EGt3Ih2CMr1er89oYDPhWVqEkl1xxLyUmymao8eZMpfiDqkFrhCfYSj49EsrUNSifGY+WP5U/VFDzLlRu0NebC4+8h15zAk9URok/RsXepUGo+Zl2IzU0P0FF9uZCQKuHgn2gphAWn4Td9RVSI1SkiVxhLyUmym6ose1EpPdICaip5h84yguEDghDrssV3/0j4pOJaQl2IzU1/0FF96Mh3CMpJBUcCBwf1k2PgpUVB+8qQtlHgZM38sf7a+KJIpPbVnxE1/sKhk0JRXazTUqKl/yeV6oQRboCJknYIvEvJSbH48pfWIgZ0iDMQiNGAfAFhJnKdAV6zSUIFHgMXZMCW83mwB4J77LWFBN/SpjeXk1Qj9fGIvGkVykiBAbQyjsJBDBe4EXmOzk4RG3wqgR0rCzidCqfHQeQEOP5++i0aRnCQAAvUVwpfHwYcOAJYGxP5GhlqnVYAPyF2p8dB5AQ4/n74E23pjsJVXA/YeJAwCDHRL8ReH5cm89RDnZulmcxwh5oh6iwX1NOlhsQicwtOapyhNhbqPheal2f28CKfCqoMBqzw0YO8AVlLiKtye6hF6ekD8htX1qLKl0FDoPhw6L8Dh59NnFIasKfiYNmDvAfTY5DAs77GSSELPrg/YRSMG+gVD3KmT+Xi0/I3YiUk6aZSOkwAUDLARDfSQWYWxrXVthqgMylGRegxHy9+InaiGizFQVmMh3wvsPcBacQ43AIEK6hnsqRuoOCHtz4LiQo9c4hd/wTPqeOi8AIeZYsIgzOFXrwG7BGGzGN+D3j4q8mmpaZvUowVC3fHQeQEOP688iWW1LexISwv2DihYaG1Av3WwWLTRY9xpBRqBIaUwrAejqKSGQvehnLwaoYkqzfD9tgEDKxuw9wC7EFBT0bqXwtAfqlErlBLqDkfL34idmKSTRuk4SRCwgiPGOwYNSYdu83eAvlIb0VwXsIqfpQOT1HAoJ69GaKLI9UmjvBHELsF1+5QIuAtAvbP6Z7hPoOrBFaibUgIM5eTVCP18Yi9OpSMoARzXHWV5BbS+O0oqo4LBTkXSAzkpdFpLDYdD5wU4/Hz6HETUOYuGvAbsHcAWYM7x/YUIPUfZTlR+2J3VgzFMJ4XbAC3I34j9+SRdkoukIUEAL7DzGKUTAoY/cOkyBRZh53D3HjesGmcx/l7qMRw6L8Bhovj6SaNIThJEjfEMtOdCO4gLiap9K/wz3NdLIJRqwVhOXo3QRJVyTbEiqMcFdgnihob1Db9tcUOb+6apXDUuNRFTSCLWUnJU97UCjUD3owmQF+Dw8/J1F43ScZIAekHW7SsC7NjtUoh36i0Yjpa/ETsxSSeN0nESAO25XlsG9gIOIr88V04XeggwHroFeTVCP5/Yi1PpCAqgYZdaFxcEHk71XmGWhgQO3bhUbV1qOBw6L8Bhpp3Ywal0BAUwYFz31t8BJHTUP6MmCkKP8WgtyAtwmOjQcNIobwRx++9duIMAW1ZvVWxBIKUiKhVvGg7l5NUI/XxiL07ljS1ETCnvIwN3AVjK659RvXCh1HC0/I3YiUk6JZeOhgAgRnnec1HYijdUGBiXGo/pF/W8tCH1eNNjOHRegMNEBWdYKYLCqv8N2DuQ4LkP5MtKOmIoAOqRFK4hlN+fNmQbqc8JbnO5H1+MGMiSqLLtUE5ejdBEQWOMlzAe28RcYJegEvTQZgKPpWnD+AtL1bgsGDGDwRcnwV9XdWmpGY6WvxE7UV0Xzo7BYYvIBuwdwFZzgXolJIh0rL9guEUF5gKY2ROoef14tPyN2JkisBBdEzVXYz3A3gMIWgwJv1MJcytCcMQWUncCmcOPf0P1a4ej5W/ETkzSSaN0nCQAE2Kg3qL1Ua/PcNy4ACgco0MMLeCCjq1SAgzl5NUITRSBhc8MbrRLC/YOYFlk3FDuXHMVz9z7v6AjTIC/24xAuHAn2CeFRI2dIMwJQLgN3oK8HqWZQrAHqyIpdgCSbuvXy9HaU5+YaDUVgQARVUllBTI3Lcej5zVoTBSKPZkUSasHGgGvTXVljs5wAUc4Rkb65kldxuPlrwT/3J3uwSmvI97mBuw98AgCeaKxfHLkhrfgPdXkGBTdh7tOwpoADw1/FpS7y2lAXprdxJRjKWRuRXyBvQMUubMRjbYvcddjuFVXTMRw6LwAh59P3xUQVrroMBkqhnVbA0XuJOxLHChUDK27xmNAZH0YKG6MCMLLZhy+UjLWbCgnr0Zo5rk8osNKFyomgIgoS1g3kMzD9ZnQ+GfhpqHQfTh0XoDDxPSdcWOlCyKTAXlNrFnAVA6TyBdL7caTsjelZBDfaOi8AIeJ6cM+szZGpH6C/QYoPmo7OVmXHoKlRBhVG4U2HDovwOHn03fRKB2nDlAUFC4oIWC0D3pw+pCoK1hKKjUcOi/AYWL6ThpFcnoE2GfWRyyQEy3HQIpgqSaMqlVqPHRegMPPpy8aDGIK+OJcYO8AlB2A/sfxTx9TJUOiGj2EhuOh8wIcZkKCkUbicNwD7BLUlRrDeKhbuwAi8KlVSqg7HjovwGEipvWkUd4IKo/xUZZvdkBA8aRtFNo4WG04dF6Aw0xQ5kGjdJwE0BZjndwdyMAzGUTWKDUcOi/AYSL08qRR3ggajClxuJmSQWQiVE/oMRwtfyP255N00SgdJwEs2H2dp8WZbpynHAMRqjeO6BsP3YK8GqGZ+NSDU+kISgDWjkqMIpMp8Akb/MmIPhmd12o4HDovwGEiPvWkUTpOEkSsk0RpBQ7icxz0auqD+GQMXqvUcOi8AIeJ6TtplI6TAB6d3BuaNAN4pyFujMLusD4inR1FDKRUajh0XoDDRODvSaN0nARAd45Xhu4vVjNR5hb22IUwtkoNh84LcJgI/D1pFMlJgmgpIGz78x52J4MbG6WGQ+cFOPx8+g5OSP0CeweSxoAwOmImjSWucJ8gYyBbPYS646HzAhxmoqMPGkVykgS3DcuO4XH9JeyuC2G8lBoPnRfgMBH4e3IqHUEJcKWgvG4ZTyeovwzQgPyN2IlJOmmUjpMAeKr0kArVx9ONIx3Ho7UgL8BhIgb65FQ6ggLAQw4xeERdhDAOIx3Ho7UgL8BhIgaaOWG7+wvsHcAyIp6aqkeDiwODI7jxHunYRS026oqJGArNS7ObiJs+CZaOrQB4LA0bumkinpF8ovhjodRwgPxrkiaCeCHnk8tXNWDvAJ62g7YUJitiNttozuEA+dck/XwqLsmloyEA9Latn21HkZkcDGtbcI+ZHY6WvxH780m6aJSOkwDYsi1YT8BimCbdK4jvgvBVfdNjPFoL8gIcZoK+MS4V3ScN2DsAb7UKFEOTFLguj8BWETHcxhKPR8vfiJ0I4GYaeH8vsPcAAzjJeXRGDLsWqD/3uOBLKaHuWE5ejdDExGJcakj4GFxglyBhXnGIqQ0fFhHDm+k1FLqPh84LcPh5uCOmWAfws5UW7B3AIln1aEIB122UsQwSbpUS6g6HzgtwmEg5ADdkvW8YtHmBvQdAMCrNcdkeI1gpDLgN0hZKCXWHQ+cFOMxkbCAnPFM3YO+ABtNq1JRfIgKxZRR1q5RQdzh0XoDDxMsbMeI5OXxxTrDfAMQFW8z2rzcOASebtDHYMpi61VDoPpSTVyM081ofnEpHUABsdBEdBsB1gdltvLVQajha/kbszydJ4ygBc7QbsPcAQkwjhROlgAQdrcdt9LrUQ2g4HDovwGHC/3pWHytdKbIONFW2RDGotkwUlUqxDlshhoT/5qxBg/GDm38Y+gJ5NUITxqez7El5K4giQFvRQ9b6iBs6lbHqb8T2wI6ODDGgH5kCM8dD59UI/bz2bgQnCXcAbsAugTdY1NFiLrJ3GABnMIbGOwibsZp/aetothU2x0PnBThM+GzhXfHWo7v5AnsHAvaJcY4LJaHVlo74QzdB72VpXF5DOXk1QhO+DkyZ3TRa4S6w9wAaUQZFpg8sWxv0Ru8XfB6ColI1wm7ZWScbg/BQTl6N0MTZGt6VqHE/0oBdArkBE1uzdps7HiD/mqSfd2iwuGsImrpzN2j/G0K7nKX2Oo76Hmhqm1aRQrQRUvg44K64IkwKV+pvEvLC3Gam+6RWeqKvKKJRz1EOpIVcshM5DX6HYGy8q/syZl6KzcSUXuJLT6ZDCa0mXh8IM+813Xvj0FBKHWXrvhl+MxgM1qn0IiEvxebnU+o2TO8OWF+zRfsNYQ+ZEB2/TmiwIrNU3ZfB/iQE6pBYN3ZoPaWWKi9j5o/l/3zaTMI7A1+0ItDeIwvdCetKow0j1yALS75PjpAJWJvFPqAXCXkpNhMv90Wm3KhJhP04j4XdQtUR6F9EyEIEbVXCPag0HjN/LH9i2rAjZn3YaWG/0H5DFmr/BB/jA5LLvFy8x2Pmj+VPTNslvvyFmrPkpUgPSC7s/QLdqjSWkJdiMzGlF5nyF6Ie+71RLEW3QMuvY6fSeMz8sfyJabvIlJ7aAJF4rLYXN+ou2H0dX76jLxLyUmwmvs4eYwwUFo9s0X5DaHAKmju8BY1bWDzMd9/K2zfPIDIPY7YoL8VmYkqxcnqw6CBu0X5DCUMyKCkZTE74G38PD0RfQA1WlWCY6HjM/LH8iZdb44uQMMa7RfvfUEKHJvUa7F41+cq8rXNjCXlhbjPTfVIrN6JvyMC3MnKjR4tFTSMVe+lWtk7d8Zh5KTYzaylsUxOcQYtAe4/sBva/pJJjFC9koBukqo+F4n/n8bd0H0Wg/LH8mWmDBTpZLObSov2GsMVjXbR40UfxjgwAVsGxq74V5gFhdaxkeJO8wcp2oBd5eWFuE9N9USs90Q5hS8gUNn5JIKo3Of2g0sso+dcl/nxqlDEY3IF1K1u0DxGKV9h+PrI9DxYZWE2oUb0KaOtL9K1UAU1YiV6gFwl5KTYTU3qRKTdqrwjSzqMhK4rCDMuo6bWAYAagxrSlguMx81JsZqb0JFNu1N6Qg+I4kXd0KkLuRzRkmVERshci9a7pFRyPmZdiMzGlF5lyo/aMiIz3GF1C5466OGGkjQ0PKo3HzB/Ln5i2S3y5kXlGkRFQYzOVwrKp0WO8SF3DIEEm2vCIFCLjHtQdS8//GKYTt+KiVnqiHW3c7cVA1Ve10bBJdpip1CnxMkr+dYkzU4Mhm8Ez0RPtPdLQ41pFKuCkNLriI29GOmQgS+VUQqok1H2Rlxfm9vPprus0CKTq1S3a7wiPXVTwqSoRQYmo1BMSCsqpGEvIS7GZmdKTWrkR7RFskjdaW7TSeLAjE4OGOJ76l/pJpfGY+WP5E9N2iS83Mh0CS3aiIgBQ4HcDJQxR82CLqYh+g1zjSwmp0lhCXorNzJQyNUNKnGi/IV0J1xXc8TIPqY+JqkgpHSDpJSmrHhSUyo8l5KXYTEzpRabcqHUIXy6LqZF1YYeAsopo3QmQyZE0NtWAStZgRoB/fVdQorG8vDC3iem+qJUbUYmwkHJynu42VrZJls4knUrjUfKvS5yYGnAEqERNolu098hgMeDkefGWRKUS41Hyr0ucmRqcfchNLgLtN4TVy1NSRFtZMmgFRgYRq4QGLU9bhU7BTomhvLwwt4nphhwDvW0UYNKg/QF5RCQ+bq4iRS0S6tEXXoukCaELK0VWXkOib0XuccwL5aXY/HxKN7KpKCzc2qL9htArWG+hEohsi9LSKC2G2pP3JT6M2aK8FJuJKb3IlJ5aRxSDv6Mh58CrpVGo9DJm/lj+xHn8IEO2mAvtN6Sw/Yujg5aCgGRAbOV+szQKlaTyY3l5YW4T031RKzeiHcLEOV7mwVaAiH6TdkdpTZQKjiXkpdhMTOlFptyodQhzGChLDpBtUG9pbK2CUsGxhLwUm5kpPcmUGzWJDJ5yOb5WUQBAtGwPhx4TMTA1abyVCo4l5KXYzHgzTzLlRk0iiPlREZZ3QEGTQYs9hrA1iYEiLDqVxmPmj+XPuNeIjFfk0DrRfkMOvdWbTy0KtP0InkxY7IRFahzr0ykolR/Lywtzm3G9ndTKjahEHkL+sMzCHYVE5i16LurnFf6dCw/qjiXkpdjMuOVOMuUvRKHuTB04Eop46NP8ckklxqPkX5c4MTXQBlMl4+n+Xmi/oYR2QBsOi2FrP+zsgBYNWrwKjcfMH8ufcaHBprUyoqX8QvsdRUQUYKKxu3KygWx90kbYW/caBaXyL/LywtxmphuyWJN37BU80d4jveHaEgw/CfiShMC0Ib8mBYp4lOrKqXiRkJdiM+O4gNDQFNmSfaH9jtCElQ5XASS6p+TZ34ILdNT6QSWp7lhCXorNjOPiJFNu1DoU0ITFTwnE9VTEPkJv8S8VW8BbC2VvW5TqDuXlhbnNTPdJrdyISmQ8WCGVJ2uiifCb4idBWiilpVGqO5aQl2Iz4ws6yZQbNYmgEnVd3uKBEiK623FDBdlHKIy+nYJjCXkpNjM20bq2VDJKkU3yRPsdJUBUqAWsNhsSZQNahCdBbfybSkibD4sb/OVGbosXCXkpNj+vvBXRDBgwNrABewcSFAGJkQ5nm8OfPDZWq8hQDBAhQ1WwsHvEeMD8meSfT9XFpEhaPVAIyBmwYYUwPpBtUP4QEBH2aOTlb6pQbTx8XoTHxEt8CS83Kh3CfRyVUarEPCqE9eQraU22msQIbY/qSaGxhLwUm4kpxVL79WOGm+gG7Tek8XBnmKh2mBDC/hiPSSbKRVYQDQsUqvIyZv5Y/sS0YYu+5Czu4xq0PyA8Q9CZeLMJPdYUcbthbf7kKVpii3T24KckQmfTZPneR4UHPzLSvsjLC3Obme6TTLlRkwgar9W7S9vmDazagOi5SGDiqsc5+6DSeMz8sfyJabvElxsZiSidLtKea8Ne4wcClzWQCfpBifGY+WP5E9N2iS89mQ5hg7qUIrv2wUd9nG3hqAu02aIolRiPmT+WPzFtF5nSU+tRwLMAf+VCiBdSRiGZaO8qvYyZP5Y/4we3sG+3jj3PJ9pvSOMxybEPxBvY4ZvAjlEDvxne/UPB2LrDZy/LeMz8sfwZx+xJptyodajePb15PkLB8R3i39ODEuNR8q9LnJmaU3y5kekRnCDD8ehvcGcCxSsqn4CM3w5k23svVBpLyEux+fkBDp5WyJeAD1kD9g44NMhvGos6t6coeRrqTpjbBYZD5wU4/Hz6sNxtUmipb8DeAY8LKlVXh0MTed0O1B6h+qPQdUIdD58X4fHzaQwO/T0RK7NfYO9AxD03O4K6Y1N3GLJYRIEapgwHzJ9JnjnXYo4+dGsuAu03hBVcU0xP+/d+V94ekMZj5o/lz0xbREssxRk0aL8huWPv9+GtElLB8Zj5Y/lTTxtaYikSu0H7DZHNVtPXqd+Iiu1lv0dv1e2U8BrtwNuDvBblfwzTmXhyC7v5qOjFu9B+Q0kDmURmorrv33C78bT5kBsTaNN7ohcJeSk2U25/rPqkDkf7gfYe1U0YlnSlU4DWWMQVnpX9iFY4inq9jJJ/XeJMBizkLYfoOAP1RPsdYdHLw2FuNFXXcw+0pUrjMfPH8meiHtCwTRuxFu135LDkBmeLgm8BSmcdST1Q4C15Tj33WEKGlVC42d3i9jRmg/JSbKYyYA9q5Ua0Q5iBYjaOhuGwdM4yhc1uZAfjidSDumMJeSk2M1N6kik3ahKJshpdyY2AQerURbRHUsGxhLwUm5lgkZNMuVF7Q7JahKwkETFk3XA9ComkgmMJeWFuM4EkJ5lyoyaRrB0RkZojZ7lOG5aJObIHhRLjMfPH8iem7SJTbtRekagdETFdwpORqlNpPEr+WP7MtJ3iy43MG5L1IWTtiOTRIc4bFanSeMy8FJuZ/O5TfLmRkUgU4DAbVnaKdH4wG9n3yGfWKTEeM38sf2LaLjKlp9YjUVbjpeqDUZAZHRO5uaWCLxLyUmxmUt9P8eWdWldIA23LiVqd1a0FJlZsZFqVSryMmT+WPzFtl/jSk+moYTPbI7a/fsgwAyVwHn50SNvflXgZM38sf6IY7IaGT0fNpBq03xD27kiGa35L2lKl8Sj51yXOTM1ZAqPcC2IIJEtneDSRWgrHNV6jqZ7rPEiVOtpDCXkpNhNTelErN6I9Qjsz1yYR5TG60hmy7nJfMblVfiwvL8xtYrovMuWh4kiLZG0SbEdaERf7p9CM7aFC860Kc6vuWF5emNtMnxw0B0ASQxFo/wtymEF/tI+SKHDGvkDq6CMCPmN/9AOBr3FF/i/y8j+G6cxCQz0SqJ5ug/Yb0uhL3ijq2sDrCL/R0wWtJ1WI5kAGkX0YpUX5Y/kzlVmgAUqMtIFu0H5DSlNiOHtRRBGEvphBW3NiPGb+WP5UORDci6mNC3AcaL8hg/EJsMsDJDOcH1PBObJrPGb+WP5MfYqTTLlRk8hiiKXh+skW851N4kIalFCethbFx9Rzgcby8sLcZqJtPb4WVPu+QfsNJQwa2TgdV2H64pH9RBvvLR3Rru1rKF6uLWK1qCM4YCwvL8xt4kCawDAVNJVEaNB+R9AyIOjIFh3sRQeLPS762MpKs/nhQPzpwFZW4OonhE17vXqS0KC8MLep09pBrdyIPiP+jtqIzav47ATRPYGrRRlr8C95w86IAko75cfy8sLcJqYb4iYUNosvAu13JLYtckvjIb+l/iUfR7EPOu8SX8bMH8ufmbZTfHnY37VI7gTh0HghLCFT/zIIdBwym+iLTsGxvLwwt4npvqiVG1GJoNJZ3YbTdsdEfPH409GpNB4l/7rEiam5xJcbmTfk4fsbeaPSoQQt1iK39zUR+4Empx8UHEvIC3Ob6XF2kil/IRrQy817RrvBulN/e0CdShKNJeSl2Mz0MTuplZ7oANEXEAokqGg3ViKBEYM3OD0SCo4l5KXYzHQuPcmUntoA0eId8YztyCUrkVXoaTT8BEkkFHyRlxfmNtUo9iBT3omahGcST85bqx2WUdiekFDiZcz8sfyJabvIlJ7aG7JUTzdgxg4gzPmnrYk1hqqYPqj0MmZeis2E6foSX25kJFK40kTLPRmN+XMW4Hw1HRujG5WkgmN5eWFuU62OMfTFYypog/YbIucHtxO0Di2bicwWJyI7+pttfiwhL8VmYkovauVG9BkRUSxJkxSZ2izaftLmnxQcj5k/lj8zbaf4ciPzhqxHEzAZKmxAf6UKUgn/oNJ4zLwUmxk34Emm3Ki9IYcRHZYCtG1En6SOh0q2UUkqOB4zL8Xm51NadwxoP6TsngbtdwS7tqDJzOssJEwFTnxyWB86bJRg+jJK/nWJE06UgBFDkTvaXmi/IzCEJY5dUxjdm9io0NeHFLUjRVHPFwl5KTYzuUZBYyk4avdyof2G6pYWEuI1B6aKqnxddT1RBHE8Zv5Y/sxp5oy+KALtD6iN2kgKnwTy4dTdF0YaEbUT8VaB+4EbgZ5iP1qUF+Y2cwo6qZWe6A1ReAurhC9e0mynwRjOxLShtGGlZp+QUP5FXl6Y28x0n2RKT60julFB2eNMssHLtbljIwzrXKSgL2vx33HnUKnSi4S8FJuJjZKzWGqEIo0btN8Rrl78UlqPv0XFkUYbFB6J1KLAQZYPlCHRhGh9pNbs9UtNFWEeJTQoL8xtZl/q4INglKGd4In2O/JA25Lx1kFESP2ssIJR42eFzyTjUfKvS5wJHqcUfKspePtE+wPCb6ylMsQJ0+yPMvFgiwHELlmPJWT5BTJYqGnjOrxjCXkpNjPhD6f40pPpqG3W4L3XjCwi+s1ZrG91KoGVC0hdqdKLhLwUm5kQh5NMuVGTSGEhbRf0A/JY/8Cwgg7V5RI8nYJjCXkpNjNxoieZ8heiCitheerXVNdpXK84MiNgyW1OKTVQWhZUMg8KjiXkpdjMeDqhgFi9eeQBv9B+QyHU1UvxHbUQMaQV3/uKNCI25YK60HGIkUZkH8ZsUV6KzYyn86RWeqIDRGQiVHpRx/2FIhSAeMsMmxFlDiNsq+6LhLwUm5nD6im+9GQ6lAwgf2ySDVDjviUWlnSg/aDEy5j5Y/kzp6CTTOmpDRCfQlTdp0GIxQNyCl4SFzkdwFhU0NzVfZGXF+Y2sWWHYnhaJd5AX2gfIlqvsBiU3ti3KJGHPSPEERCCE4oK29uYx3Z+HTYzU3qKL3+hpuFgB6s3IjAggPjtgfZ4lPzrEme8kqf4ciPzjNgxBWVBsZIGoYCIXpkEZUHBqvCg0lhCXorNzJkbavBqIFEE2u8IthiaI3gt1LGsrKm4u8OKbcCUkMa77dLTKA3KH8ufqcZgcHfvqLnQhfYb8oa2vseZtz0By9MxWVFMjA+jtCh/LH+mGgOdCmiBbtD+gAKio1wOGpg41EmeCvpjV3M61ket4PQo4UJ5YW4zViMFdztQS40G7XeEJ9lIJR4NNLYGlQ7UHuVeDn1yKl7k5YW5zUy3AWpHCb4L7TeUFLx46Ug+wdcwcrq2UFAq/zJm/lj+jCFOwX1KVG+hQfsdwT1UG59dtw0Rnx9MQJU4dP9AR4I22ry1uqsrp+JFev7HMJ0x4J1Ey412h3C3p/g0IZHFo9ym/YO64zHzx/Jnpu0UX/5CDfzbut4utibiIaweiAlp2O0pOpMYMI9VamwPlyqNJeSl2MzYPU9q5UZUIthIazgWI/IKf2ObNyStArIPCr6N2aK8FJuZYhtMjZS40H5D0LxD1330xggtMxwiDTnCjf1QKCiVH0vIS7GZyZY7yZQbNYnshvYWxUkrwu4o7Ye9gbZVcCwhL8VmJiMOAgCUj1R25UL7DTmyxejDftgab6VKUt3xmPlj+TPZcieZcqPWoQjoyHgUlsbORtgbaFsFxxLyUmxm/ERILVHBtAbtNxQ8GRzY3yJti8JG+GLKfZGQl2Iz4yeCzrRgqCHPzIn2OwKzxYF6a2KrklT3Zcz8sfyZaTvJlJ5ahxKhIM21T8bbFzPvi4S8FJspP9FBrfREO9ob+K41m8U6461Q6WWU/OsSZ6YGDa1gDSwC7T2i0L2KOPi0Eq602Tci7dpSCaHgi4S8FJuZ7LWTWrkRlUg5FMgZtbj11Y7d+tICLu3aUt2xhLwUmxk32Umt3IhKpN1WEfdFsQaMt9pzgKlUaTxK/nWJU8l7ID6GI13uQPsDcog42hbseZqbf1QEf+kPR75QQio4lpCXYjM1pQe1ciMqEZTG0TpZdooaIBpNfFBpPEr+dYkzCXqn+HIjIxEakQzXDq7AwG9HOUb058UYHpQYj5k/lj8V7FzfdTS2F4H2OwKiRvPeKCLaOKJGKiEVHI+ZP5Y/U5LvbIBVbu2wOiQbZ2H4egwHUg0K2DU0aEawmmye9lRdt9GxvLwwt5npPsmUGzWJrE+XP6J+yCJaiKnQHTuKuCRexJD4yEpIBccS8lJsJqb0IlNu1DpkEZEVWHn8TZM5U0Eae/2NDEydSuMx88fyJ6btEl9uZDoEW1GluUxowAA5Qxlb4OQFozu3jNngxVNHqUap0lhCXorNTGbuSab01HqEVmBr+G5vG6KjbRca3dkRKVR6GTN/LH9i2i7xpSfTIwwTdowSHIqU4x4TGqOyLcfeGNhwKHM0gmtVepGQl2Iz01fyJFN6ah3RDQPkjugETC9W4UgvVvgb990RKr2MmT+WP9VDDR72qCkP60L7DWFcgUrc5ck4iivkSC9IZoNCUqQErkKBVyhoXnShsYS8FJuZPmknmXKjJpHFg/zGwRm44YD0KkTQvec0nncqSTSWkJdiM9MM7CRTbtQkwnwqrQ4UN0R0twMaADYyMFWVGu9Ep+BYQl6KzUz46Umm3KhJ5F3jj9ARrSGKgzohCVhjO9i7SuMx88fyJ9vSgaWXaF9ovyEok1CXFM1EYSnX2j8pIRUcj5k/lj/ztJ1kyo1ah/CVseRC1FCoGCy9nGMaiAzHDkKzas3b4k7BsYS8FJuZQOiTTLlR6xCcOrV3R+skDHvnbnoK1h1tj6BOodJ4zPyx/Kn48YNM6akNEJEJAS3EXFwmoOci+EMlQJ7Di4SCLxLyUmxmuvmd4ktPpkMR7zZbQ4zW+BtXQmHEPlqhxMuY+WP5M7HeJ5nSUxsgLoGAX7kUOYJqw9/IUiJVehkzfyx/Jtb7FF96MjekEHGMKZgzzXa0CICDVkWsRMS/5EgVcDqC6X67K/giLy/MbSYw+SRTbtQ6BActwxVNTsThvnBardw5YM2gyd+rBwXHEvJSbKb6UR5kyo2aRFBoWBsuBFORRsRZ+LCHM4ojXFzAJ4gbG0oFxxLyUmxmYr1PMuVGTSL09BrL6RHwPdX43xCBAcAorpgvVRqPmT+WPxPPfZIpN2odAqOV4RxAA8WENYafA4IwSTD4qRYdtSKEgmMJeSk2M/HcJ5lyoyYRVB/ThiMQTEikEgeswfnBWO8fVBqPmT+WPxOzfZIpN2rPiFMg4Atojq0vNA4CRIt3RH+x5/0deukwWPiu7lheXpjbVKz3QabcqHUIvofm2DI7KKpl4hEtqPAvj0hCpBaUflBwLCEvxWZmSk8y5UZNIg8Z1ObY+0mUMP4h8t0G73NF/OWUCo4l5KXYzITPn2TKX4jWUf5oe+zTAhzeDoT17OtfcnFs6DReEcdaSwXHEvJSbGbiwE8ypafWoVhfFm2PAoVK428cqimUeBkl/7rEmcawHnPrEt7fBu03pBAdDkyt0EtH97Bz1kunu4yGGEvIS7GZCVTB8kHcbq1B+wOyiEgJj0okdnzi11EdnW8D5pEGqjD6Mmb+WP6MU1ZvjUHrQvsNGbQlc2nhzkbY2fqEMVXatTXk3WnPHryxvLwwtxmH7Um03GhLZDeKVSSvszTCSgXHo+RflzhjLYc0Gsx/LwLtd5TgaOV4vyVNBc9Hfv00SoPyx/Knpg0+685Zpn2g/YYCFAWuH/ejpogDxMmL8pQrT6u9OaBRV07Fi/T8j2E6a+Ko+yx9GRUQ7TdkYBWyipuoyt1Xv71tTyEan6eU0sOYLcpLsZlq8Jpgn2Yoe+9C+w1ZsANaY7n/p1a4v+NSme1u77ajazfQYwl5KTZTBWwc37Ui0N6j/o7Kuw3PjIlHoS6LT8nhDhiOmT+WP/Mk1vsFRfrZ2HWi/Y7aauB9RwbRS0E2xxiPmT+WPzNtJ5lyo/aGZIF1WRu8a2shFByPmZdiM2O/PMWXGxmJZMVvUQ1cNrK4NaRoVRpLyEuxmbH+nFW9i0D7DYlq4HaDkKWNNxwWzrdnU6CXUfKvS5yx4pziS0+mR7JsOjadcIGrPGDSkEtsb8EiV5Zb/QiVXiTkpdjMTOkpvvRkOhTxtQgb5ynjK+O4e5Kg/TJK/nWJU71oYZiouBHPifYe2Q1Xk8QtR2XXGNnvxcJBq1J7GEWg/LH8qX6zB5lyo9YjaJOTuIurgphWxe7yirBQGqffytY7UsGxhLwUm5mM/VN8uZHpUNuxoOtmgO7MSoaIiv5FnUpjCXkpNjNp6WfbhyLQ/oDadhGym4Es0g/x/lVBTumNWOvm6M41lpCXYjOTl32W0C8C7TckS+/jsV552pg6TYXSDoTpPppKEriNlOd25GMJeSk2M23UTjKlp9YhWV5fVpSXxdBFofSj4jfFaDsN7iaVjjZmWCks0tPl0DKjOBqiIkp0c/dpeuGZ/wvqNNUl72jEWwTah4gnRgNi+6GFDvGA+LUP0NzvWARkc9+xhLwUm5lEFYVfcaqZ0qD9hqAs5ukHvBUFht3lUTBY1m4ej5k/lj8TSEgZW54sOhfab0iDMxWCbxFZLPehEgf5oY8whSPHAb2JbnsYpUX5Y/kzGzPIYrXGcGGjE+03pOH0Yq3jeipQM6V+r49yHx5s3hwpMR4l/7rEmQ0WLMLWJt7SnGi/I0ghqksqrwoOaVO6b0dbqjQeM38sf2ba4ICGS2oRaL8hA18yyzkHdacByFHEQ6eEVHA8Zv5Y/kwpJSZDd/tC+w1ZaCxho2XkEfFGGE/AlttTdCpJdccS8lJsZrbzJ5lyoyaRQ5dS4ip1Dnq62uR4hwULtD32TVKl8Zj5Y/kze7pTfOnJdMhDBQi3UUcZiepmCIhyYTZncLk+ziRSpbGEvBSbiSn1oQp0ilr2NGi/oQCPvtNHiS0IYKqIaDsMrONaZA56ydS7rdPDKC3KH8ufmDZoRq+d4RPwhfYbwphWZykO2+LmsyJ6gTyYxZyipdw5OAG7jQ0O4zHzx/Inpi2Bmcq5ROfTC+09clgxx4Eh/o6CgXvIuc/Og0UaT5S3UQTKH8v/+bQ14stfqCl49B1XH3EYxlkR3kMX4UDuOBamU2I8Zv5Y/sS0XeLLjYxEUIJXu2QOq0ZEFIg2VHlynq0aUonxmPlj+RPThl2CfKLGiw3ae+TRrB82inD1UGy8IvKGeGyZ7Lluu8evlfe0eL+MmT+W//Np81D9Gsq94jG7QfsNabBHBE3ZoR538IHXDx8hMCioDb9kPsDd9knJUezDmC3KS7GZmFK8hwmq/BeB9hsCo6NOgXbwB6JSGR4X4eTIxOMDHJ+S5d/GY+aP5U+8wBHqEEfYjxeB9h75LRpA5LL0UExVxxD4jnr4LVDIpd9g4xA90X4ZM38s/+fTFnCNqFwwYK1B+x259MdsG0XoB4hAgHR7XKADdq887n0I9CSQyzJ4iCtIge72i4S8FJuZeBvwflmfOL/pRPsDMniwPpJx8LzI/jUoTAVHpI0RHoqOBDI8dTo2S44l5KXYzJhFA2wAgFIRaB+geBQgh2hUd1bnhufCRT6R2oT7LQqrJLuJg8V+NCahvBSbqTLqx+6rCLTfEW4VNr73Fr6ODtwwiGBhr5uJ8KCSVHcsIS/FZqonNuy+Nqr/2aD9jiBe36ujqDkkznrFNjuHGw61sfdYobp8tJLqyqkYy8sLc5sx0cJL4mGwItB+R/AkeBP5KQELsT+M7tD1t6KNEbRa9OYo2R9wlMMoOpSQl2IzMaUBckV8oDjsBu03hC5Ez8Uq6+IFKgW+9xDhCoitzviUcL6LjbDOeU5Ye5GQl2IzM6V411JgJU609wiNUFUJei4qAiXiqUSrklR3PGb+WP7MtMFSjqeIItB+R2AqCLwKOQX1oDynR1SEf0mtJKSCPe2hhLwUm5kpPamVnugNgYlBsfsnosFBH3EyYEsOXPrFqYhnXj6TKPx3G4UlS+Vf5OWFuc1Yy08ypafWI4hqDJznZxPEIwT+IDgDp+NgjmAjiEeo6qq7gi8S8lJsZizpJ5nSU+uIwsZD42EPEMa04PEOEewE618SMhaQsequ4IuEvBSbmSkFT1xMlHPQoL1HjkwTiU7cftvINEHrHFbhi1YdoaERfkvswrJo0rAPYwqUl2IzYcC7DGHlZhYTKCioKpEi2X6CBtqJ+68G7OFbjzKHOc2jOS0wao1rYwl5KTYTVqqLTLlRk0hadKS1x8Ark7hlj1TpZcz8sfyfT1vd64JZjKPAG7T3KJp69oWEfkdIgXEt0ZMQY4gVcYRrgqekIjJNJDgemo030C8S8lJsZs74FrfFZKFs0H5DBnzQYePThMcD2hnHgDs6Lr/xMkr+dYkT656FmOkYyYbToP0BwSIcyaDl8VwbE7nnPVa3TVzysq7auMzTFuNA9B312AE9RsrmepGXF+Y243qDb15y9Do1aL8hE3ARpkARb1GJYynH7UeyFCjiIUgTUHwYpUX5Y/kzTykYppKiIoQN2m8Iixckzow57717eBLkUzIeM38sfyZkCq0hG6e9XWi/IWzC7Y/e0tjM8bQm4sbBb9y+EUPUHXukLWTvX2gsIS/FZuY8fpIpN2oSRYiU8Nwy2W0BVeJQui3gX9rW2HWqJBQcS8hLsZk5czM1Oj9caL+hhLERxvGTADszbxzbaSDMznNwQIeEunIqXuTlhbnNnseRWumJdrQ3smuzJ1uj/dBwCN6B9F2llzHzx/JnIttOMuVGrUNwtPKcSeiwFpm31NWjU+J1lAblj+XPTNtJptyoSaTQmOoPWx9k9p/Iboi2w6BlUaX0oOCbhBblhbnNBBKe1MqNqERYyshHpg1HrAtBDG49d1BOXqegRGMJeSk2E1N6kSk3ahIZ/ATwCdiBbQV+Sw/oUMk+KDiWkJdiMzGlBzV68S603xBWgAzskXaQa3ohT54Zshh2KknlxxLyUmwmpvQiU27UOgS+68MXU1FoECR3gDEiCGRYQTRNUBmaTt2xvLwwt4kDKWQv1wMa2bwbtD8gPMolPubB9zdZw1GUeMY2ZAH3aOWuR0fPqD1IyuPhWF5emNvM+X/7YxXtGM/rfXitIdQNS4TU/w7uQrvR2gYO8Xp9hL7Wa1b2eZz8meQfT5WFwHGzoaHiut7lNXS1r/sUIGahpJlR2DPbRgN/gym/FsLRDfXZHI2Tf1XazJldQ1FBz3FqF9rvKEH5AY6mtOCSgtKEkbcTWKjQ8+YiQjFC5496ElAezpwhAxbRo4QG5YW5zfT3rqtEfeMpmaRB+w2lerqAOGAuaA0qBUfUNOwIKzJcCNtGRJr/EhG32VUBxrR0gtYQqF2ng9YfveG/46Oggi9wRZErm0eQbpV/YNai/F9Qpx/f3qqZ+eMgIKs013t3Xd92l7CZYPTe/XEOE0PR1+sMxtDzNXbVixAX7gz2IAkQN8NBtKPx8xIsJt4QsIpD1Rr8rDRovyN4DpKmvWK99bAEaNrKYNX+evvpvI5ND1TkRm4wDPyWHsdsUF6KzY+nFLtScquD63qX1xAjo8jertHxs+GzYYyC9wlfLgPeOBWQjIa4LkUpLqMx82eSpyp0Baj+xxGaF9rvqK0TKGsIOoXlFY+iSfAB0ps+syI3REdKPda95Bijsby8MLcZJ8xZCqn8qy+MJBGUv6vfj8MJ0n6bu++2LKg0HjN/LH9iy3/lSJZ/9RmTEsn0Ppn6J3Mrx6PkX5c4cdYPGAfpqF55g/YbAl/2ZdmBuOCKDpcuuG09R7R5A9Fup+X9GCU+jNmivBSbmS/y+YUq9++VQPLLxoj3YgbXZw5DUAZ2gvHonKM0/eXjF7FBeSk2P55Sh5XcN5vANdmAXQIPvvEKcLWod7hyrEfCjf4MAeb+jAfIvyZpxloEvWoCFFsvAu03hNk5AQo1IAKrS+Cisj5gpFCgyqlBQYu/4CkuPSiM6vX0HIQNLDKVEAchiNRomTY95pL/obxn7ARn+dki0H5HomytrKoqKq7K8qBd6VBsYF3fRPZvYqVJFdhRB6vjlkJjhd88xxSPmeX/Elr83PqFKcUaExKu6727ruyNxbi5uoes/92iR91tlZcx+HyhM98oXAGFzaq1ZQ3Gz0uw+PEUxljHhkpk5brc28v6FKQ/his96frVNpZb6tUvueGKjJCxUa9pQa0KWQwcgyBaE3FX/jx2/lZ8O2nbf/MKPqt1rnjqYtT1ayDmLIJ7vG7r6pEC2t6C1/d//3/wEj7/8B//VzeC/q2DzMynQfsf/qPe3//573/9P/+v+gPtcf+deag6psIL2I1DNgLUKYh//l3+9d+3+uH7H3/+/f//63/9Gx+P/7t/7qA2K/9zdf3z/wPuQR3QCmVuZHN0cmVhbQplbmRvYmoKNiAwIG9iagoxMDQzODQKZW5kb2JqCjcgMCBvYmoKPDwKL1R5cGUgL0ZvbnQKL0Jhc2VGb250IC9IUERGQUErQXJpYWxNVAovU3VidHlwZSAvVHlwZTAKL0VuY29kaW5nIC9JZGVudGl0eS1ICi9Ub1VuaWNvZGUgOCAwIFIKL0Rlc2NlbmRhbnRGb250cyBbIDEwIDAgUiBdCj4+CmVuZG9iago4IDAgb2JqCjw8Ci9MZW5ndGggOSAwIFIKL1R5cGUgL0NNYXAKL0NNYXBOYW1lIC9Nb2Rlcm4tVVRGOC1ICi9DSURTeXN0ZW1JbmZvIDw8Ci9SZWdpc3RyeSAoSGFydSkKL09yZGVyaW5nIChNb2Rlcm4xKQovU3VwcGxlbWVudCAwCj4+Ci9XTW9kZSAwCi9GaWx0ZXIgWyAvRmxhdGVEZWNvZGUgXQo+PgpzdHJlYW0NCnicdVJNb4JAEL2T8B+mBxM9ICCHEmNMWpDIwY+Ibc+4OxgS2SULHPz33Q+QatI9kJ333sy8GXbydsycD8ov6ARzD07Y8E4QdKJdXtvWZBJz0lXI2j0iRTrQzRKOgpMMW5hGaZyysp0pdcrIraM4yP5RfeK1ZKNGtYLpjlMUzPk6J6Gz1bJz2d4k/czANhcdGMgHTwu/UTQlZ0vw556KN4xGvFKuG9ty+87gDl6KklHRd4eL8mJbtuUvgJakHQF9IZVag6mS3ZsWq5QVHAKjpV096AHck7w1rbjDVHmcAcVC4wchzZbsOkzij1TW1fUNlVPwDIiMmovqKRezzysE93kFmtdsP7ka/A96vtcIi0eZH5U91JeDGstEgk2dExQ5u6JtrTx51rBK5FlrH68K2wpM6qV4yYnfZQ6YSKJxaCoZdNOjSTjWlylhEMWRZmSrR0XVVq/8MTvphJD70fvW06k5SoaPP1jzWuf1n/4BDM9Lh4fEtn4BmM7cvQplbmRzdHJlYW0KZW5kb2JqCjkgMCBvYmoKMzc4CmVuZG9iagoxMCAwIG9iago8PAovVHlwZSAvRm9udAovU3VidHlwZSAvQ0lERm9udFR5cGUyCi9EVyA3NTAKL0RXMiBbIDEwMzkgLTEzNjMgXQovVyBbIDMyIFsgMjc3IDI3NyAzNTQgNTU2IDU1NiA4ODkgNjY2IDE5MCAzMzMgMzMzIDM4OSA1ODMgMjc3IDMzMyAyNzcgMjc3IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiAyNzcgMjc3IDU4MyA1ODMgNTgzIDU1NiAxMDE1IDY2NiA2NjYgNzIyIDcyMiA2NjYgNjEwIDc3NyA3MjIgMjc3IDUwMCA2NjYgNTU2IDgzMyA3MjIgNzc3IDY2NiA3NzcgNzIyIDY2NiA2MTAgNzIyIDY2NiA5NDMgNjY2IDY2NiA2MTAgMjc3IDI3NyAyNzcgNDY5IDU1NiAzMzMgNTU2IDU1NiA1MDAgNTU2IDU1NiAyNzcgNTU2IDU1NiAyMjIgMjIyIDUwMCAyMjIgODMzIDU1NiA1NTYgNTU2IDU1NiAzMzMgNTAwIDI3NyA1NTYgNTAwIDcyMiA1MDAgNTAwIDUwMCAzMzMgMjU5IDMzMyA1ODMgXSAxNjAgWyAyNzcgMzMzIDU1NiA1NTYgNTU2IDU1NiAyNTkgNTU2IDMzMyA3MzYgMzcwIDU1NiA1ODMgMzMzIDczNiA1NTIgMzk5IDU0OCAzMzMgMzMzIDMzMyA1NzYgNTM3IDMzMyAzMzMgMzMzIDM2NSA1NTYgODMzIDgzMyA4MzMgNjEwIDY2NiA2NjYgNjY2IDY2NiA2NjYgNjY2IDEwMDAgNzIyIDY2NiA2NjYgNjY2IDY2NiAyNzcgMjc3IDI3NyAyNzcgNzIyIDcyMiA3NzcgNzc3IDc3NyA3NzcgNzc3IDU4MyA3NzcgNzIyIDcyMiA3MjIgNzIyIDY2NiA2NjYgNjEwIDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDg4OSA1MDAgNTU2IDU1NiA1NTYgNTU2IDI3NyAyNzcgMjc3IDI3NyA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTQ4IDYxMCA1NTYgNTU2IDU1NiA1NTYgNTAwIDU1NiA1MDAgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNzIyIDUwMCA3MjIgNTAwIDcyMiA1MDAgNzIyIDUwMCA3MjIgNjE0IDcyMiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDc3NyA1NTYgNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNzIyIDU1NiA3MjIgNTU2IDI3NyAyNzcgMjc3IDI3NyAyNzcgMjc3IDI3NyAyMjIgMjc3IDI3NyA3MzQgNDQzIDUwMCAyMjIgNjY2IDUwMCA1MDAgNTU2IDIyMiA1NTYgMjIyIDU1NiAyOTEgNTU2IDMzMyA1NTYgMjIyIDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDYwNCA3MjMgNTU2IDc3NyA1NTYgNzc3IDU1NiA3NzcgNTU2IDEwMDAgOTQzIDcyMiAzMzMgNzIyIDMzMyA3MjIgMzMzIDY2NiA1MDAgNjY2IDUwMCA2NjYgNTAwIDY2NiA1MDAgNjEwIDI3NyA2MTAgMzc1IDYxMCAyNzcgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgOTQzIDcyMiA2NjYgNTAwIDY2NiA2MTAgNTAwIDYxMCA1MDAgNjEwIDUwMCAyMjIgNTU2IDc1OCA2NTYgNTU2IDY1NiA1NTYgNzIyIDcyMiA1MDAgNzIyIDgwOSA2NTYgNTU2IDU1NiA2NjYgNzUyIDYwNCA2MTAgNTU2IDc3NyA2MjQgODgwIDIyMiAyNzcgNjY2IDUwMCAyMjIgNTAwIDg5MCA3MjIgNTU2IDc3NyA4NTcgNjU1IDg2OCA2NjcgNzU0IDU1NiA2NjYgNjY2IDUwMCA2MTggMzgwIDI3NyA2MTAgMjc3IDYxMCA4NTQgNjY5IDc0NyA3MjIgNzcyIDUwMCA2MTAgNTAwIDYxMCA2MTAgNTQ0IDU0NCA1NTYgNTU2IDQ1OCA0ODYgNTU2IDI1OSA0MTMgNTgzIDI3NyAxMzMzIDEyMjIgMTA0OCAxMDYyIDgzMyA0NTEgMTIyMiA5NDQgNzcwIDY2NiA1NTYgMjc3IDIyMiA3NzcgNTU2IDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDEwMDAgODg5IDc3NyA1NTYgNzc3IDU1NiA2NjYgNTAwIDc3NyA1NTYgNzc3IDU1NiA2MTAgNTQ0IDIyMiAxMzMzIDEyMjIgMTA0OCA3NzcgNTU2IDEwMzQgNjE4IDcyMiA1NTYgNjY2IDU1NiAxMDAwIDg4OSA3NzcgNjEwIDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgMjc3IDI3NyAyNzcgMjc3IDc3NyA1NTYgNzc3IDU1NiA3MjIgMzMzIDcyMiAzMzMgNzIyIDU1NiA3MjIgNTU2IDY2NiA1MDAgNjEwIDI3NyA1NDQgNDM2IDcyMiA1NTYgNzA2IDY4MSA2MDQgNTY1IDYxMCA1MDAgNjY2IDU1NiA2NjYgNTU2IDc3NyA1NTYgNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNjY2IDUwMCAzNDkgNjg0IDM2NyAyMjIgODg2IDg4NiA2NjYgNzIyIDUwMCA1NTYgNjEwIDUwMCA1MDAgNTgwIDQ1MyA2NjYgNzIyIDY2NyA2NjYgNTU2IDUwMCAyMjIgNzM3IDU1NiA3MjIgMzMzIDY2NiA1MDAgNTU2IDU1NiA1NTYgNTU2IDUwMCA1MDAgNTU2IDU1NiA1NTYgNTU2IDczOCA0NTggNDU4IDYzMSA1MDcgMjc3IDU1NiA1NTYgNTU4IDUwMCA2MTYgNTU2IDU1NiA1NTYgMjIyIDIyMiAzNTUgMzI3IDMwMyAyMjIgNTcxIDgzMyA4MzMgODMzIDU1NiA1NTYgNTUyIDU1NiA3OTAgNzgwIDU0OSAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgNTQxIDU0MSA1MDAgMjIyIDI1OSAyMjIgMzQ5IDI3NyAyNzcgNTU2IDU2OCA1NDYgNTAwIDcyMiA1MDAgNTE5IDUwMCA1NDEgNTQ0IDU0NCA1MDAgNTAwIDUwMCA1MDAgNzc3IDUzMSA1MDcgNTU4IDU1MiAzOTcgNTAwIDQwMyA1NTYgNTAwIDUwMCA5NjQgOTA2IDEwMDUgNzEyIDQyOSA3MTggNzYzIDY2MSA2MzIgNDg1IDUyNyA2ODcgNjg3IDM4MyAzODMgMTU5IDIzOSAyMzkgMjM5IDM2NCA0ODAgMzIwIDE5MCAzNTQgMjIyIDIyMiAyMjIgMzMzIDMzMyAzNDggMzQ4IDU4MyA1ODMgNTgzIDU4MyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMjc3IDI3NyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMyMiAxNTcgMzM5IDMyOCAzNDggMzgyIDM4MiAzODIgMzgyIDM4MiAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIDI3NyAzMzMgMzMzIDMzMyAzMzMgMzk3IDM5NyAzMzMgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCA1NzcgNDc1IDYxMCA0NTggMzMzIDMzMyA3MTggNTgzIF0gODkwIFsgMzMzIDUwMCA1MDAgNTAwIDI3NyA1MDAgXSA5MDAgWyAzMzMgMzMzIDY2NyAyNzcgNzg0IDgzNyAzODMgXSA5MDggWyA3NzQgXSA5MTAgWyA4NTUgNzUyIDIyMiA2NjYgNjY2IDU1MCA2NjcgNjY2IDYxMCA3MjIgNzc3IDI3NyA2NjYgNjY3IDgzMyA3MjIgNjQ5IDc3NyA3MjIgNjY2IF0gOTMxIFsgNjE4IDYxMCA2NjYgNzk3IDY2NiA4MzUgNzQ3IDI3NyA2NjYgNTc4IDQ0NSA1NTYgMjIyIDU0NiA1NzggNTc1IDUwMCA1NTYgNDQ1IDQ0MCA1NTYgNTU2IDIyMiA1MDAgNTAwIDU3NiA1MDAgNDQ3IDU1NiA2ODkgNTY4IDQ4MSA2MTcgMzk1IDU0NiA2NDggNTI0IDcxMiA3ODAgMjIyIDU0NiA1NTYgNTQ2IDc4MCA2NjYgNTc1IDU0NiA3NzIgOTU4IDc3MiA1NjAgNzgwIDYwMSA3NzcgNTU2IDcyMiA1MDAgNjEwIDQwMyA2MjQgNTI5IDc1NiA1NzYgODkwIDgzMyA2NzQgNTU2IDY3MyA1MDAgNjY2IDY2NiA2MDkgNTk2IDczNiA1NTMgNDYzIDQwOSA2MDEgNTcyIDUwMCAyMjIgNzc3IDQ0MSA0NDEgNjY2IDU1NiA3MjIgODMzIDY4NyA1NjggNzIyIDcyMiA3MjIgNjY2IDY2NyA4NjQgNTQxIDcxOCA2NjYgMjc3IDI3NyA1MDAgMTA1NyAxMDEwIDg1NCA1ODIgNzE4IDYzNSA3MTggNjY2IDY1NiA2NjYgNTQxIDY3NyA2NjYgOTIzIDYwNCA3MTggNzE4IDU4MiA2NTYgODMzIDcyMiA3NzcgNzE4IDY2NiA3MjIgNjEwIDYzNSA3NjAgNjY2IDczOSA2NjYgOTE2IDkzNyA3OTEgODg1IDY1NiA3MTggMTAxMCA3MjIgNTU2IDU3MiA1MzEgMzY0IDU4MyA1NTYgNjY4IDQ1OCA1NTggNTU4IDQzNyA1ODMgNjg3IDU1MiA1NTYgNTQxIDU1NiA1MDAgNDU4IDUwMCA4MjIgNTAwIDU3MiA1MjAgODAyIDgyMiA2MjUgNzE4IDUyMCA1MTAgXSAxMTAzIFsgNTQxIDU1NiA1NTYgNTU2IDM2NCA1MTAgNTAwIDIyMiAyNzcgMjIyIDkwNiA4MTIgNTU2IDQzNyA1NTggNTAwIDU1MiAxMzM3IDYyNCA3NzcgNjEyIDk0OSA3MTMgNjY3IDUwMCA4OTcgNjk1IDgyOCA2ODUgMTA1MyA4NjcgNjA0IDQ1OCA3OTYgNjg4IDc3NyA1NTYgODAzIDYzMCA4MDMgNjMwIDEwNzQgODk2IDgzMyA2MTIgMTE5MCA4NTEgMTMzNyA2MjQgNzIyIDUwMCA1MDMgMCAwIDAgMCAwIDAgMCA3MTggNTU4IDY1NiA1MjAgNjY2IDU1NiA0ODggNDExIDU0MSAzNjQgNjcwIDU0OCA5MjMgNjY4IDYwNCA0NTggNTgyIDQzNyA1ODIgNDM3IDU4MiA0MzcgNzQxIDUzNSA3MjIgNTUyIDg3OSA2NDcgMTEzNiA4NzAgNzUyIDUyMCA3MjIgNTAwIDYxMCA0NTggNTU2IDUwMCA1NTYgNTAwIDY2NiA1MDAgOTI1IDY5MCA2NjYgNTIwIDY2NiA1MjAgNjY2IDU1NiA4NjEgNjY2IDg2MSA2NjYgMjc3IDkyMyA2NjggNjY3IDU1MCA2NTYgNTgzIDcyMiA1NTIgNzIyIDU1MiA2NjYgNTIwIDgzMyA2ODcgMjIyIDY2NiA1NTYgNjY2IDU1NiAxMDAwIDg4OSA2NjYgNTU2IDc1MiA1NTYgNzUyIDU1NiA5MjMgNjY4IDYwNCA0NTggNjA0IDU0NCA3MTggNTU4IDcxOCA1NTggNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNzE4IDUxMCA2MzUgNTAwIDYzNSA1MDAgNjM1IDUwMCA2NjYgNTIwIDU0MSAzNjQgODg1IDcxOCA1NDEgMzY0IDY2NiA1MDAgNjY2IDUwMCA2NTYgNTU2IDk2OCA4NzYgOTU2IDgxNSA2NjIgNTA5IDk3MCA5MDkgMTAzNCA4NzggNzc3IDU1OCA3NDYgNjY1IDYwNCA0NTggNjU2IDU4MyA5NTkgNzYwIDc4OCA3MTcgOTU3IDg1NiA3NzcgNTU2IDk0MyA3MjIgNjY2IDUwMCAxMDY4IDg4NCAxMTMxIDg1MCA3MjIgNTQxIDcwNCA1NTQgNzIyIDU1MiAxMzI5IDEwNjkgNjY2IDU2NCA2NTYgNTgzIF0gMTMyOSBbIDczOSA3MjQgNzE1IDcxNyA3MjQgNzA4IDU5NyA3MjMgODA2IDcxNSA2NTggNTI3IDkyNCA3NjYgNjk1IDYxNSA3MDYgNzE3IDcwMCA3NTQgNzE2IDcwOCA2OTkgNzI0IDY5OSA3OTIgNzM4IDc2NCA3MjQgNjk4IDY1OSA2NzggNjc3IDUxNSA3NjEgNjg2IDc4MiA3NjIgXSAxMzY5IFsgMjczIDIyMiAxNjkgMjAwIDI2NSAyMzEgNTEzIF0gMTM3NyBbIDgzMiA1NTAgNTc5IDU4MiA1NTMgNTUwIDQ5MSA1NTAgNjY3IDU3OSA1NTAgMjE5IDgzNCA1NDIgNTUzIDU1MCA1MjIgNTUzIDU1OCA1NTAgMjE5IDU1MyA0NTYgNTUwIDM0NiA4MzIgNTE3IDU2MyA1NTAgNTUwIDgzMSA1NTAgNTU1IDM5NCA4MzEgNTUwIDU1NCA3NDMgNzEyIF0gMTQxNyBbIDI3NyAzMjQgXSAxNDIxIFsgMTAwMCAxMDAwIDcyNiBdIDE0MjUgWyAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAzODIgMCAyNzQgMCAwIDI3NyAwIDAgMzUyIDAgXSAxNDg4IFsgNTYyIDU0MSAzOTggNTA4IDYwMiAyNDYgMzgyIDU5OCA1ODkgMjQ2IDUwOSA0NjAgNDYyIDU5OCA2MDEgMjQ2IDM1MiA1NzQgNTI5IDU2NiA1NDYgNDYxIDQ3OCA1NDkgNTA5IDY5NCA2NDIgXSAxNTIwIFsgNDkzIDQ5MyA0OTMgMjM1IDQxNiBdIDE1MzYgWyA5MzYgMTI5OSA0MzggMTI3MiAxMjk5IDAgNjE1IDYxNSA3NTUgNjA0IDczNSAyNjIgMzE4IDIzOCA2NTYgNTQzIDAgMCAwIDAgMCAyNjkgMCAwIDAgMCAwIDMxOCAxMDAwIF0gMTU2NiBbIDI4OSAzNTYgNjM4IDQxMiAyMDcgMjA3IDQzMiAyMDcgNjM4IDIwNyA3MTMgMjgyIDcxMyA3MTMgNTYyIDU2MiA1NjIgMzM3IDMzNyA0ODggNDg4IDgyMSA4MjEgMTA5OCAxMDk4IDU4MSA1ODEgNTQzIDU0MyA4MTIgODEyIDYzOCA2MzggNjM4IDIwNyA3ODggNTgxIDYwMSA1MDYgMzM3IDUyNSAyODIgNDMyIDYzOCA2MzggMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSAzMTggMzE4IDUyNSA3MTMgNTgxIDAgMjA3IDIwNyAyMDcgMCAyMDcgNDMyIDQzMiA2MzggNzEzIDcxMyA3MTMgNzEzIDcxMyA3MTMgNzEzIDcxMyA1NjIgNTYyIDU2MiA1NjIgNTYyIDU2MiA1NjIgMzM3IDMzNyAzMzcgMzM3IDMzNyAzMzcgMzM3IDMzNyAzMzcgNDg4IDQ4OCA0ODggNDg4IDQ4OCA0ODggNDg4IDQ4OCA0ODggODIxIDgyMSA4MjEgMTA5OCAxMDk4IDU4MSA1NDMgNzg4IDc4OCA3ODggNzg4IDc4OCA3ODggNTgxIDU4MSA4MTIgMTE1NSA4MTIgNjAxIDYwMSA2MDEgODEyIDgxMiA4MTIgODEyIDgxMiA4MTIgNTA2IDUwNiA1MDYgNTA2IDUyNSA1MjUgNTI1IDUyNSA1MjUgNDUwIDU2MiAyODIgMzg3IDM4NyAzODcgNDMyIDQzMiA0MzIgNDMyIDQzMiA0MzIgNDMyIDQzMiA2MzggNjM4IDYzOCA0MzIgNjM4IDYzOCA4MTIgODEyIDIwNyAyODIgMCAwIDAgMCAwIDAgMCAxMTIzIDEwODQgMCAwIDAgMCAwIDAgMTkzIDM3MCAwIDAgNjAwIDAgMCAwIDAgMzM3IDQ4OCA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgODIxIDEwOTggNTQzIDQxMiAzMzcgNDUwIF0gMTg3MiBbIDcxMyA3MTMgNzEzIDcxMyA3MTMgNzEzIDcxMyA1NjIgNTYyIDMzNyAzMzcgNDg4IDgyMSA1NDMgNTQzIDU0MyA3ODggNzg4IDgxMiA4MTIgODEyIDMzNyAzMzcgNTI1IDUyNSA1MjUgNTA2IDQ4OCA0ODggODIxIDU2MiA1NjIgODIxIDQ4OCA1NjIgMjA3IDIwNyA2MzggNjM4IDYzOCA0MzIgNDMyIDgxMiA4MTIgNTYyIDgyMSA4MjEgNjAxIF0gMjIwOCBbIDcxMyA3MTMgNTYyIDU4MSA3ODggNTgxIDUwNiAzMzcgNjM4IDYzOCA0NjQgNDMyIDQyNyAxNzAgMzM3IDEwOTggODEyIDI4MiA0ODggNTQzIDYwMSBdIDIyMzAgWyA3MTMgNzEzIDcxMyA0ODggNjM4IDc4OCA1ODEgNTI1IF0gMjI2MCBbIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCA0ODMgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIF0gNzQyNCBbIDQ5NiA3NDcgODg5IDUzMSA1MDAgNTUxIDU1MSA0ODkgNDU4IDIyMiA0MjIgNTAwIDQwMSA2ODcgNTU4IDU1NiA1MDAgNjA4IDYwOCA2MDggOTQzIDQ1NyA1NTYgNTU2IDUyMCA1NDEgNTQxIDQ1OCA1NDYgNTk2IDczMyA1OTYgNTAwIDcyMiA1MDAgNDU4IDQyNyA2MDYgMzY0IDUwMCA1NDEgNTIwIDcxMiA1ODMgNDUzIDY2MyA0MTQgNDE0IDQ0OSA0MTAgNDEwIDQ5NiA0MjggMTY2IDMxNCA0MjQgMzUxIDUxMCA0MzAgNDI5IDUxMSAzODIgNDE4IDQ1MSA0MzIgNDI5IDYyMiAzNzIgMzcyIDM3NiA1OTkgMzc3IDM3NyAzNzEgMzcxIDMxOCAzMTggMzc2IDE1NyAzMzggNTcyIDM4MiAzNzcgMzU0IDM3NyAzNzcgMzc3IDIxOSAzODIgNDA3IDU3MiAzMjEgMzkwIDM4NSAzMjEgMzc3IDQzOSAzNDMgMTU3IDIzOSAzODIgMzIxIDM4NSAzMjEgMzc5IDQzOSAzNDMgOTA4IDU1NiA1NTYgMjc3IDgzMyA1NTYgNTU2IDMzMyAzMzMgNTAwIDI3NyA1MDAgNTU2IDM4MCA1NTYgNzg1IDIyMiAyMjIgNTU2IDU0NiA1NjggNTU2IDU1NiAyNzcgNzEyIDUwMCAyMjIgODMzIDU1NiA1NTYgMzMzIDUwMCAzODYgNTAwIDUwMCA1MDAgNTU2IDU1NiA1NTYgNTU2IDQ1OCA0NTggNjUwIDIyMiA1MDAgMjIyIDU1NiA1NDQgMzc2IDM1NCAzNDggMzczIDMxOCAyMjkgMjI5IDM3NiAzODMgMTU3IDE1NyAxNTcgMTU3IDI3MCAxNTcgMTU3IDI3NCA1NzEgNTcxIDM4MiAzODIgMzgxIDM3NyAzNzUgMzM5IDE1NyAyMTkgMzgyIDM4NyAzNzcgMzUzIDMyMSAzNTggMzU4IDM1OCAzNjkgMzY0IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCBdIDc2NzggWyAwIDAgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA3MjIgNTAwIDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjEwIDI3NyA3NzcgNTU2IDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiAyNzcgMjIyIDI3NyAyNzcgNjY2IDUwMCA2NjYgNTAwIDY2NiA1MDAgNTU2IDIyMiA1NTYgMjIyIDU1NiAyMjIgNTU2IDIyMiA4MzMgODMzIDgzMyA4MzMgODMzIDgzMyA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDc3NyA1NTYgNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNjY2IDU1NiA2NjYgNTU2IDcyMiAzMzMgNzIyIDMzMyA3MjIgMzMzIDcyMiAzMzMgNjY2IDUwMCA2NjYgNTAwIDY2NiA1MDAgNjY2IDUwMCA2NjYgNTAwIDYxMCAyNzcgNjEwIDI3NyA2MTAgMjc3IDYxMCAyNzcgNzIyIDU1NiA3MjIgNTU2IDcyMiA1NTYgNzIyIDU1NiA3MjIgNTU2IDY2NiA1MDAgNjY2IDUwMCA5NDMgNzIyIDk0MyA3MjIgOTQzIDcyMiA5NDMgNzIyIDk0MyA3MjIgNjY2IDUwMCA2NjYgNTAwIDY2NiA1MDAgNjEwIDUwMCA2MTAgNTAwIDYxMCA1MDAgNTU2IDI3NyA3MjIgNTAwIDU1NiAyMjIgMjc3IDI3NyA3MDIgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiA2NjYgNTU2IDY2NiA1NTYgNjY2IDU1NiAyNzcgMjIyIDI3NyAyMjIgNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNzc3IDU1NiA3NzcgNTU2IDc3NyA1NTYgNzc3IDU1NiA4NTcgNjU1IDg1NyA2NTUgODU3IDY1NSA4NTcgNjU1IDg1NyA2NTUgNzIyIDU1NiA3MjIgNTU2IDg1NCA2NjkgODU0IDY2OSA4NTQgNjY5IDg1NCA2NjkgODU0IDY2OSA2NjYgNTAwIDY2NiA1MDAgNjY2IDUwMCA2NjYgNTAwIDc2NiAzOTcgNTkwIDU1NiA2NjggNTc1IDU3OCA1NzggNTc4IDU3OCA1NzggNTc4IDU3OCA1NzggNjY2IDY2NiA4MTMgODEzIDgxMyA4MTMgODEzIDgxMyA0NDUgNDQ1IDQ0NSA0NDUgNDQ1IDQ0NSBdIDc5NjAgWyA3NjQgNzY0IDkyNyA5MjcgOTI3IDkyNyBdIDc5NjggWyA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDgxOSA4MTkgMTAxNSAxMDE1IDEwMTUgMTAxNSAxMDE1IDEwMTUgMjIyIDIyMiAyMjIgMjIyIDIyMiAyMjIgMjIyIDIyMiAzNzUgMzc1IDU3MCA1NzAgNTcwIDU3MCA1NzAgNTcwIDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IF0gODAwOCBbIDgyNiA4MjYgMTAyMSAxMDIxIDk3MyA5NzMgXSA4MDE2IFsgNTQ2IDU0NiA1NDYgNTQ2IDU0NiA1NDYgNTQ2IDU0NiBdIDgwMjUgWyA4MTMgXSA4MDI3IFsgOTU5IF0gODAyOSBbIDEwMDggXSA4MDMxIFsgOTU5IDc4MCA3ODAgNzgwIDc4MCA3ODAgNzgwIDc4MCA3ODAgNzk2IDc5NiA5OTEgOTkxIDk0MiA5NDIgOTQyIDk0MiA1NzggNTc4IDQ0NSA0NDUgNTU2IDU1NiAyMjIgMjIyIDU1NiA1NTYgNTQ2IDU0NiA3ODAgNzgwIF0gODA2NCBbIDU3OCA1NzggNTc4IDU3OCA1NzggNTc4IDU3OCA1NzggNjY2IDY2NiA4MTMgODEzIDgxMyA4MTMgODEzIDgxMyA1NTYgNTU2IDU1NiA1NTYgNTU2IDU1NiA1NTYgNTU2IDgxOSA4MTkgMTAxNSAxMDE1IDEwMTUgMTAxNSAxMDE1IDEwMTUgNzgwIDc4MCA3ODAgNzgwIDc4MCA3ODAgNzgwIDc4MCA3OTYgNzk2IDk5MSA5OTEgOTQyIDk0MiA5NDIgOTQyIDU3OCA1NzggNTc4IDU3OCA1NzggXSA4MTE4IFsgNTc4IDU3OCA2NjYgNjY2IDY2NiA2NjYgNjY2IDMzMyAzMzMgMzMzIDMzMyAzMzMgNTU2IDU1NiA1NTYgXSA4MTM0IFsgNTU2IDU1NiA4MTMgODEzIDg2OCA4NjggNzIyIDMzMyAzMzMgMzMzIDIyMiAyMjIgMjIyIDIyMiBdIDgxNTAgWyAyMjIgMjIyIDI3NyAyNzcgNDI0IDQyNCBdIDgxNTcgWyAzMzMgMzMzIDMzMyA1NDYgNTQ2IDU0NiA1NDYgNTY4IDU2OCA1NDYgNTQ2IDY2NiA2NjYgODYyIDg4NiA3NjQgMzMzIDMzMyAzMzMgXSA4MTc4IFsgNzgwIDc4MCA3ODAgXSA4MTgyIFsgNzgwIDc4MCA5MjQgODI2IDg5NCA3OTYgNzQ3IDMzMyAzMzMgXSA4MTkyIFsgNTAwIDEwMDAgNTAwIDEwMDAgMzMzIDI1MCAxNjYgNTU2IDI3NyAyMDAgODMgMCAwIDAgMCAwIF0gODIxMCBbIDU1NiA1NTYgMTAwMCAxMDAwIDQxMyA1NTIgMjIyIDIyMiAyMjIgMjIyIDMzMyAzMzMgMzMzIDMzMyA1NTYgNTU2IDM1MCBdIDgyMzAgWyAxMDAwIF0gODIzNCBbIDAgMCAwIDAgMCAyMDAgMTAwMCBdIDgyNDIgWyAxODcgMzU0IDM1NCBdIDgyNDkgWyAzMzMgMzMzIF0gODI1MiBbIDUwMCA1NTYgMzMzIF0gODI2MCBbIDE2NiBdIDgyODYgWyAyNzcgXSA4Mjk4IFsgMCAwIDAgMCAwIDAgMzMzIF0gODMwOCBbIDMzMyAzMzMgMzMzIDMzMyAzMzMgMzMzIF0gODMxOSBbIDM2NCBdIDgzMzYgWyAzNzIgMzcxIDM3NyAzMjggMzcxIF0gODM1MiBbIDU1NiA3MjIgNzIyIDU1NiA1NTYgODMzIDcyMiAxMDkzIDExNjQgOTQzIDgxNSA1MTMgNTU2IDY2NiA2MTAgMTAwMCA1MjAgNjY2IDc3NyA2NjYgNTU2IDcyMiA1NTYgNjY2IDYxMCA1NTYgNTU2IDgyOSA3ODYgNTU2IDc5NCA2NjYgXSA4NDMyIFsgMCBdIDg0NTMgWyA4ODUgXSA4NDY3IFsgMzIzIF0gODQ3MCBbIDEwNzIgNzM2IF0gODQ4MiBbIDEwMDAgXSA4NDg2IFsgNzY4IF0gODQ5NCBbIDYwMCBdIDg1MjUgWyA5NDIgNDg5IF0gODUzMSBbIDgzMyA4MzMgXSA4NTM5IFsgODMzIDgzMyA4MzMgODMzIF0gODU4MCBbIDUwMCBdIDg1OTIgWyAxMDAwIDUwMCAxMDAwIDUwMCAxMDAwIDUwMCBdIDg2MTYgWyA1MDAgXSA4NzA2IFsgNDk0IF0gODcxMCBbIDYxMSBdIDg3MTkgWyA4MjMgXSA4NzIxIFsgNzEyIDU4MyBdIDg3MjUgWyAxNjYgXSA4NzI5IFsgMjc3IDU0OCBdIDg3MzQgWyA3MTIgOTc5IF0gODc0NSBbIDcxOCBdIDg3NDcgWyAyNzMgXSA4Nzc2IFsgNTQ4IF0gODgwMCBbIDU0OCA1ODMgXSA4ODA0IFsgNTQ4IDU0OCBdIDg5NjIgWyA2MDQgXSA4OTc2IFsgNTgzIF0gODk5MiBbIDYwNCA2MDQgXSA5NDcyIFsgNzA4IF0gOTQ3NCBbIDYyNSBdIDk0ODQgWyA3MDggXSA5NDg4IFsgNzA4IF0gOTQ5MiBbIDcwOCBdIDk0OTYgWyA3MDggXSA5NTAwIFsgNzA4IF0gOTUwOCBbIDcwOCBdIDk1MTYgWyA3MDggXSA5NTI0IFsgNzA4IF0gOTUzMiBbIDcwOCBdIDk1NTIgWyA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IDcwOCA3MDggNzA4IF0gOTYwMCBbIDcwOCBdIDk2MDQgWyA3MDggXSA5NjA4IFsgNzA4IF0gOTYxMiBbIDcwOCBdIDk2MTYgWyA3MDggNzA4IDcwOCA3MjkgXSA5NjMyIFsgNjA0IDYwNCBdIDk2NDIgWyAzNTQgMzU0IDEwMDAgXSA5NjUwIFsgOTg5IF0gOTY1OCBbIDk4OSBdIDk2NjAgWyA5ODkgXSA5NjY4IFsgOTg5IF0gOTY3NCBbIDQ5NCA2MDQgNTk0IF0gOTY3OSBbIDYwNCBdIDk2ODggWyA2MDQgNjA0IF0gOTcwMiBbIDM1NCBdIDk3ODYgWyAxMDIwIDEwNTIgOTE2IF0gOTgyNCBbIDUzMSBdIDk4MjcgWyA2NTYgXSA5ODI5IFsgNTkzIDUxMCBdIDk4MzQgWyA1MDAgXSA5ODM5IFsgNTAwIF0gMTEzNjAgWyA1NTYgMjIyIDU1NiA2NjYgNzIyIDU1NiAyNzcgNzIyIDU1NiA2NjYgNTAwIDYxMCA1MDAgNzMyIDgzMyA2NjYgNzMyIDU5NiAxMDM3IDg0MCA1MDAgNTc3IDQyNSA2NDggNjk1IDMzMyA1NTYgNDg5IDE1OSAzMjEgNjY2IDYxMCBdIDExNzk5IFsgMzMzIF0gNDI3NzUgWyAwIDAgMCAwIDUwMCA1MDAgMjc3IDI3NyAyNzcgMCAwIDI3NyAyMDggMjc3IDIwOCA3MjIgNTU2IDgyOSA2MjcgNTUyIDU1MiA1MTYgNTE2IDU4NiA1ODYgNTAzIDU1MyAxMTU1IDkxMiAxMTg3IDkxOCAxMDIwIDg5MCA5NjIgNzM0IDk2MiA3MzQgOTYyIDczNCA3MjIgNTAwIDY2NiA1MDAgNjY2IDUwMCA2NjYgNTAwIDY1MCAzMTAgNTU2IDIyMiA4MDIgNjEwIDg3NyA2NTEgMTM2NCA5NTEgNjY2IDU1NiA4MjggNzAwIDkzMyA4MDkgNzc3IDU1NiA5NzkgNzQ3IDU4MSA0MTAgNTgxIDU4MSA2NjYgNTAwIDk0MyA3MjIgNTQ4IDQ5MyA2NjYgNTU2IDY2NiA1NTYgNTA5IDQwOCA0NDUgNDQ1IDUwMSA1MDEgNTYxIDU2MSAzMjYgNjc2IDM0NCA5NjEgNjgwIDMzMyBdIDQyODcxIFsgNjcyIDQ3NSA3NzcgNTU2IDQwNCAzMzMgNTg5IDU4OSA1NzcgNTU2IDIyMiA3OTkgNTk4IDQwNCAzMzMgNjQzIDUwMCAzMzMgMjc3IDQzNyAxOTAgMTkwIDcyMiA0NDQgMzMzIDc2NyA2MDEgNzIyIDUwMCA1MDAgNTU2IDgwMCA2ODQgNjUzIDI3NyA2NjggNTI0IDcxNCA1NDggNjY4IDUyNCA3NzcgNTU2IDY2NiA1MDAgNzIyIDU1NiA3MjIgMzMzIDY2NiA1MDAgODA2IDYwNCA3MzIgNjg0IDYxMCBdIDQyOTI4IFsgNjY2IDYxMCA1MjMgNzM1IDY2NiA1NzUgMTAwMiA3ODAgXSA0Mjk5OSBbIDc2OSA0NDggNjM5IDgzMyA2MTAgNjY2IDgzMyAyNzcgMTE4NSBdIDQzODI0IFsgNTc4IDkwMCA0NzggNTU2IDY2NiAyNzcgNTU2IDM2OCAzNDYgMjQyIDg1MSA1NjkgNTU2IDU0NyA1NDcgNjEwIDk0MyA5NDMgOTQzIDk1MSA5NTEgNTQ5IDYwNiAzMzMgNTAyIDQ1NyA2MjcgNDc0IDY5OSAyMjIgNTU2IDU1NiA4MzMgODMzIDYxMiA1MjQgNjEzIDU5MyA2MDQgNTAwIDYwNCA1MDAgNTAwIDMzMyAzODMgMjczIDI0NyA0MTUgNzIwIDc2NSA5NDMgOTE4IDU1NiA2NDggXSA2MDE2MSBbIDAgXSA2MjIwOCBbIDUzNCA1MDAgNTAwIDc1MiA3NTIgNTM2IDc0MyBdIDYyMjI3IFsgMTEwNCAxMTA0IDExMDEgMTEwNCAxMzg1IF0gNjIyMzcgWyAyNDYgMCA0OTMgNTM1IDcwOSA2NTQgNzQ4IDYwNyA2MDkgNzQ1IDY1NSA3ODkgNTgzIDY5NCA2OTQgNjk0IDY5NCA1NjIgNTYyIDU2MiA1NDEgMzk4IDUwOCA2MDIgMjg2IDQxMSBdIDYyMjY0IFsgNTg5IDI4NiA1MDkgNDYwIDQ2MiBdIDYyMjcwIFsgNjAxIF0gNjIyNzIgWyAzNTIgNTc0IF0gNjIyNzUgWyA1NjYgNTQ2IF0gNjIyNzggWyA0NzggNTQ5IDUwOSA2OTQgNjQyIDI0NiA1NDEgNDYwIDU0NiA1NzUgMjA3IDIyOSA3MTMgNzEzIDI0NCAyNDQgNzEzIDcxMyAyNDQgMjQ0IDcxMyA3MTMgMjQ0IDI0NCA3MTMgNzEzIDI0NCAyNDQgNzEzIDcxMyAyNDQgMjQ0IDcxMyA3MTMgMjQ0IDI0NCA3ODggNzg4IDI2NyAyNjIgNzg4IDc4OCAyNjcgMjYyIDU2MiA1MjUgNTI5IDUyOSA1NjIgNTI1IDUyOSA1MjkgNTYyIDUyNSA1MjkgNTI5IDU2MiA1MjUgNTI5IDUyOSAzMzcgMzM3IDMzNyAzMzcgMzM3IDMzNyAzMzcgMzM3IDQ4OCA0ODggNDg4IDQ4OCA4MTIgOTMyIDM5NCA1MTQgODEyIDkzMiAzOTQgNTE0IDgxMiA5MzIgMzk0IDUxNCA4MTIgOTMyIDM5NCA1MTQgNTI1IDUyNSA1MjUgNTI1IDI0NCAyNDQgMjgyIDM3NSAyODIgMzg3IDI0NCAzMjAgNDUwIDM3NSA0NTAgMzk0IDgxMiA4MTIgODEyIDgxMiAyNDQgMjQ0IDI0NCAyNDQgMjQ0IDI0NCAyNDQgMjQ0IDI0NCAyNDQgMjcyIDI0NCAyNDQgMTk5IDM0MyAzNDMgXSA2MjQxOSBbIDYwMSA2MDEgMzk0IDM5NCA0MzIgNDMyIDQzMiA0MzIgNDMyIDQzMiA0MzIgNDMyIDQzMiA0MzIgNDMyIDQzMiA0MzIgNjM4IDU4OCAyNDQgMjQ0IDI0NCAyNDQgMzY0IDM2NCA1MTkgNTE5IDYzOCA2MzggNjM4IDYzOCA2MzggNjM4IDYzOCA2MzggNTYyIDU2MiA0ODYgNTYyIDU2MiA0ODYgNjM4IDU4OCAyNDQgMjQ0IF0gNjI1NTggWyAwIDAgMCAwIDAgMCBdIDYyNzA2IFsgMjA3IDIwNyAyMDcgXSA2Mjc4MCBbIDIyOSAyMDcgMzE4IDMxOCBdIDYyOTYyIFsgNzkyIF0gNjI5NjQgWyA5MTkgXSA2Mjk3MCBbIDczMSA2MzQgMTIyMSAxNDY0IF0gNjMwMDggWyAwIDAgMCAwIF0gNjMwODggWyAyMDcgMjA3IDIwNyAyODkgMjA3IF0gNjMwOTQgWyAyMDcgMjA3IDIwNyAyMDcgMjA3IDIwNyAyMDcgMjA3IDIwNyAyMDcgNDEyIDIwNyAyMjkgMjA3IDIyOSA0MzIgNDMyIDIwNyAyMjkgNjM4IDU4OCAyNDQgMjQ0IDIwNyAyMjkgNzEzIDcxMyAyNDQgMjQ0IDI4MiAzNzUgNzEzIDcxMyAyNDQgMjQ0IDcxMyA3MTMgMjQ0IDI0NCA1NjIgNTI1IDUyOSA1MjkgNTYyIDUyNSA1MjkgNTI5IDU2MiA1MjUgNTI5IDUyOSAzMzcgMzM3IDMzNyAzMzcgNDg4IDQ4OCA0ODggNDg4IDgyMSA4MjEgNTMwIDUzMCA4MjEgODIxIDUzMCA1MzAgMTA5OCAxMDk4IDg0NiA4NDYgMTA5OCAxMDk4IDg0NiA4NDYgNTgxIDU4MSA1ODEgNTgxIDU4MSA1ODEgNTgxIDU4MSA1NDMgNDUwIDUyNSAzOTQgNTQzIDQ1MCA1MjUgMzk0IDc4OCA3ODggMjY3IDI2MiA1ODEgNTgxIDI2NyAyNjIgNjAxIDYwMSAzOTQgMzk0IDUwNiA1MDYgMjA3IDIwNyAzMzcgMzM3IDM5NCAzOTQgNTI1IDUyNSAyNDQgMjQ0IDI4MiAzNzUgNDUwIDM5NCA0MzIgNDMyIDYzOCA1ODggNjM4IDU4OCAyNDQgMjQ0IDU0MyA2MDAgNTQzIDYwMCA1NDMgNjAwIDU0MyA2MDAgXSA2MzQ4NCBbIDEwMDAgXSBdCi9DSURUb0dJRE1hcCAxMSAwIFIKL0NJRFN5c3RlbUluZm8gPDwKL1JlZ2lzdHJ5IChIYXJ1KQovT3JkZXJpbmcgKE1vZGVybjEpCi9TdXBwbGVtZW50IDAKPj4KL0Jhc2VGb250IC9IUERGQUErQXJpYWxNVAovRm9udERlc2NyaXB0b3IgMTUgMCBSCj4+CmVuZG9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", 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"\t\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t0\n", "\t1\n", "\n" ], "text/plain": [ "This front-end cannot display the desired image type." ] }, "metadata": { "image/svg+xml": { "height": 954, "width": 600 } }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n" ] } ], "source": [ "grmap flag_LPIS_ever,clmethod(unique) t(210) fcolor(Blues) legend( position(3)) \n", "//graph export \"D:\\Box Sync\\Policy Evaluation\\manuscripts\\choroplethmapmanhattan_lpis.png\",as(png) replace\n", "// Note the graphic display here is wrong, but the exported png copy is correct" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Base line averages" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " Variable | Obs Mean Std. Dev. Min Max\n", "-------------+---------------------------------------------------------\n", "collision_~t | 11,663 3.115751 3.042033 0 33\n" ] } ], "source": [ "* Average number of collisions before LPIs were implemented at LPIs intersections\n", "sum collision_count if flag_LPIS_ever == 1 & flag_LPIS == 0" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " Variable | Obs Mean Std. Dev. Min Max\n", "-------------+---------------------------------------------------------\n", "personsinj~d | 11,663 .6299408 1.132714 0 15\n" ] } ], "source": [ "* Average number of persons injured before LPIs were implemented at LPIs intersections\n", "sum personsinjured if flag_LPIS_ever == 1 & flag_LPIS == 0" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " Variable | Obs Mean Std. Dev. Min Max\n", "-------------+---------------------------------------------------------\n", "pedestri~red | 11,663 .2287576 .5563493 0 13\n" ] } ], "source": [ "* Average number of pedestrians injured before LPIs were implemented at LPIs intersections\n", "sum pedestriansinjured if flag_LPIS_ever == 1 & flag_LPIS == 0" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " Variable | Obs Mean Std. Dev. Min Max\n", "-------------+---------------------------------------------------------\n", "cyclistinj~d | 11,663 .1019463 .3338485 0 3\n" ] } ], "source": [ "* Average number of cyclist injured before LPIs were implemented at LPIs intersections\n", "sum cyclistinjured if flag_LPIS_ever == 1 & flag_LPIS == 0" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " Variable | Obs Mean Std. Dev. Min Max\n", "-------------+---------------------------------------------------------\n", "motoristin~d | 11,663 .300866 .8507798 0 13\n" ] } ], "source": [ "* Average number of motorist injured before LPIs were implemented at LPIs intersections\n", "sum motoristinjured if flag_LPIS_ever == 1 & flag_LPIS == 0" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "_ID Spatial-unit ID\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "\n", " type: numeric (int)\n", "\n", " range: [6,2730] units: 1\n", " unique values: 673 missing .: 0/16,825\n", "\n", " mean: 1533.09\n", " std. dev: 623.554\n", "\n", " percentiles: 10% 25% 50% 75% 90%\n", " 597 1119 1634 2047 2254\n" ] } ], "source": [ "codebook _ID if flag_LPIS_ever == 1" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "_ID Spatial-unit ID\n", "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n", "\n", " type: numeric (int)\n", "\n", " range: [1,2736] units: 1\n", " unique values: 2,063 missing .: 0/51,575\n", "\n", " mean: 1314.81\n", " std. dev: 829.92\n", "\n", " percentiles: 10% 25% 50% 75% 90%\n", " 216 581 1251 2064 2513\n" ] } ], "source": [ "codebook _ID if flag_LPIS_ever == 0" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "global time_var i.quarterly\n", "global time_variant_var bike_route_tv flag_street_improv flag_left_turn\n", "global time_trend i.flag_school##i.quarterly i.flag_priorityinters##i.quarterly i.flag_seniors##i.quarterly" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\\manuscripts\n", "\n", "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\n" ] } ], "source": [ "cd\n", "cd \"..\\\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "cd \"..\\manuscripts\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Non-spatial Models" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "note: 1.flag_school omitted because of collinearity\n", "note: 1.flag_priorityinters omitted because of collinearity\n", "note: 1.flag_seniors omitted because of collinearity\n", "\n", "Fixed-effects (within) regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", "\n", "R-sq: Obs per group:\n", " within = 0.0892 min = 25\n", " between = 0.0579 avg = 25.0\n", " overall = 0.0038 max = 25\n", "\n", " F(100,2735) = 18.18\n", "corr(u_i, Xb) = -0.1620 Prob > F = 0.0000\n", "\n", " (Std. Err. adjusted for 2,736 clusters in _ID)\n", "-----------------------------------------------------------------------------------------------\n", " | Robust\n", " collision_count | Coef. Std. Err. t P>|t| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", " 1.flag_LPIS | -.0890491 .0678597 -1.31 0.190 -.2221106 .0440124\n", " bike_route_tv | .1765528 .0879707 2.01 0.045 .0040571 .3490485\n", " flag_street_improv | -.4530228 .3010891 -1.50 0.133 -1.043408 .1373622\n", " flag_left_turn | -.9988322 .3281285 -3.04 0.002 -1.642237 -.3554274\n", " |\n", " quarterly |\n", " 211 | -.2761611 .0556496 -4.96 0.000 -.3852807 -.1670415\n", " 212 | -.4382398 .0556967 -7.87 0.000 -.5474516 -.329028\n", " 213 | .0326441 .056952 0.57 0.567 -.0790291 .1443173\n", " 214 | -.0533507 .0543473 -0.98 0.326 -.1599167 .0532153\n", " 215 | -.0883107 .0560127 -1.58 0.115 -.1981421 .0215207\n", " 216 | -.4661595 .0564405 -8.26 0.000 -.5768299 -.3554892\n", " 217 | .0036769 .0565187 0.07 0.948 -.1071467 .1145006\n", " 218 | -.0406692 .0565653 -0.72 0.472 -.1515842 .0702459\n", " 219 | -.1005995 .0558327 -1.80 0.072 -.210078 .008879\n", " 220 | -.5036454 .0587119 -8.58 0.000 -.6187695 -.3885214\n", " 221 | .0313099 .061193 0.51 0.609 -.0886793 .151299\n", " 222 | .0259014 .058279 0.44 0.657 -.088374 .1401768\n", " 223 | .0772105 .0579721 1.33 0.183 -.0364631 .1908841\n", " 224 | -.3452717 .0576232 -5.99 0.000 -.458261 -.2322824\n", " 225 | -.6928722 .0605908 -11.44 0.000 -.8116806 -.5740638\n", " 226 | -1.311649 .06232 -21.05 0.000 -1.433848 -1.18945\n", " 227 | -1.329731 .063998 -20.78 0.000 -1.45522 -1.204241\n", " 228 | -1.114373 .0628805 -17.72 0.000 -1.237671 -.9910747\n", " 229 | -.6533421 .0656725 -9.95 0.000 -.7821148 -.5245694\n", " 230 | -1.035482 .0642015 -16.13 0.000 -1.161371 -.909594\n", " 231 | -.9392744 .0636897 -14.75 0.000 -1.064159 -.8143896\n", " 232 | -.9536283 .0647732 -14.72 0.000 -1.080638 -.826619\n", " 233 | -.6702299 .0649482 -10.32 0.000 -.7975825 -.5428774\n", " 234 | -.8565109 .063752 -13.44 0.000 -.9815179 -.7315039\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .3502199 .1853914 1.89 0.059 -.0133015 .7137413\n", " 1 212 | .3453154 .1736566 1.99 0.047 .004804 .6858268\n", " 1 213 | .2336494 .2026192 1.15 0.249 -.1636527 .6309515\n", " 1 214 | .0898933 .1706534 0.53 0.598 -.2447294 .4245159\n", " 1 215 | -.0153274 .2020421 -0.08 0.940 -.4114979 .3808431\n", " 1 216 | .1593314 .189693 0.84 0.401 -.2126246 .5312875\n", " 1 217 | .193699 .2430498 0.80 0.426 -.2828808 .6702788\n", " 1 218 | .0569088 .191328 0.30 0.766 -.3182532 .4320707\n", " 1 219 | .5021515 .1793159 2.80 0.005 .1505432 .8537599\n", " 1 220 | .4996789 .2061512 2.42 0.015 .0954511 .9039067\n", " 1 221 | .0409219 .2013813 0.20 0.839 -.3539531 .4357968\n", " 1 222 | .167688 .2071691 0.81 0.418 -.2385357 .5739117\n", " 1 223 | .1789226 .1842666 0.97 0.332 -.1823932 .5402383\n", " 1 224 | .1032539 .1777843 0.58 0.561 -.2453512 .451859\n", " 1 225 | .5057818 .2115288 2.39 0.017 .0910094 .9205542\n", " 1 226 | .2642157 .2058363 1.28 0.199 -.1393946 .667826\n", " 1 227 | .3118039 .1967954 1.58 0.113 -.0740787 .6976865\n", " 1 228 | .3301147 .1964459 1.68 0.093 -.0550826 .7153121\n", " 1 229 | .5313884 .2242141 2.37 0.018 .0917422 .9710345\n", " 1 230 | .4838656 .1930957 2.51 0.012 .1052375 .8624937\n", " 1 231 | .5774107 .207401 2.78 0.005 .1707322 .9840891\n", " 1 232 | .5327529 .2012038 2.65 0.008 .1382262 .9272797\n", " 1 233 | .267106 .2117736 1.26 0.207 -.1481464 .6823583\n", " 1 234 | .5575086 .1839139 3.03 0.002 .1968844 .9181327\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.7470684 .7666671 -0.97 0.330 -2.250374 .7562369\n", " 1 212 | -1.469431 .7526537 -1.95 0.051 -2.945258 .0063962\n", " 1 213 | -.7698995 .613412 -1.26 0.210 -1.972697 .4328983\n", " 1 214 | -.2803112 .6526394 -0.43 0.668 -1.560027 .9994049\n", " 1 215 | .0795555 .6357392 0.13 0.900 -1.167022 1.326133\n", " 1 216 | -1.87424 .7739471 -2.42 0.016 -3.39182 -.3566601\n", " 1 217 | -1.063644 .6105679 -1.74 0.082 -2.260865 .1335764\n", " 1 218 | -.7758454 .6586833 -1.18 0.239 -2.067413 .5157218\n", " 1 219 | -1.415201 .8792941 -1.61 0.108 -3.139348 .3089473\n", " 1 220 | -2.579036 .8759297 -2.94 0.003 -4.296587 -.8614856\n", " 1 221 | -1.522101 .6935043 -2.19 0.028 -2.881946 -.1622559\n", " 1 222 | .353946 .6510809 0.54 0.587 -.9227142 1.630606\n", " 1 223 | -1.16375 .7040304 -1.65 0.098 -2.544235 .2167348\n", " 1 224 | -1.619077 .9050444 -1.79 0.074 -3.393716 .1555631\n", " 1 225 | -2.677238 .8911052 -3.00 0.003 -4.424545 -.9299302\n", " 1 226 | -3.980985 1.008309 -3.95 0.000 -5.958109 -2.003862\n", " 1 227 | -4.50628 1.023344 -4.40 0.000 -6.512885 -2.499676\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 228 | -3.96689 .9441281 -4.20 0.000 -5.818167 -2.115614\n", " 1 229 | -3.861717 .8884362 -4.35 0.000 -5.603791 -2.119643\n", " 1 230 | -4.129126 .9381961 -4.40 0.000 -5.96877 -2.289481\n", " 1 231 | -4.380826 .9582154 -4.57 0.000 -6.259725 -2.501927\n", " 1 232 | -3.799428 .9713433 -3.91 0.000 -5.704068 -1.894787\n", " 1 233 | -3.688574 .9528744 -3.87 0.000 -5.557001 -1.820148\n", " 1 234 | -3.933986 .8957924 -4.39 0.000 -5.690484 -2.177488\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .2555815 .1137814 2.25 0.025 .0324752 .4786877\n", " 1 212 | .0090916 .1054453 0.09 0.931 -.1976689 .215852\n", " 1 213 | .1005408 .1187933 0.85 0.397 -.132393 .3334745\n", " 1 214 | .1667646 .1114227 1.50 0.135 -.0517166 .3852458\n", " 1 215 | .2655109 .117135 2.27 0.023 .0358289 .4951928\n", " 1 216 | .1869071 .1157756 1.61 0.107 -.0401094 .4139237\n", " 1 217 | .2052494 .1139183 1.80 0.072 -.0181252 .4286239\n", " 1 218 | -.0701507 .1089679 -0.64 0.520 -.2838185 .143517\n", " 1 219 | .1402822 .1139793 1.23 0.219 -.0832119 .3637764\n", " 1 220 | -.0059166 .1171039 -0.05 0.960 -.2355376 .2237044\n", " 1 221 | .225221 .1227172 1.84 0.067 -.0154068 .4658488\n", " 1 222 | .1346187 .1185237 1.14 0.256 -.0977864 .3670239\n", " 1 223 | .2499158 .1173672 2.13 0.033 .0197785 .4800532\n", " 1 224 | -.0058064 .1171454 -0.05 0.960 -.2355089 .2238961\n", " 1 225 | -.3320294 .1223347 -2.71 0.007 -.5719072 -.0921515\n", " 1 226 | -.2310338 .1280055 -1.80 0.071 -.4820311 .0199635\n", " 1 227 | -.1620226 .1326691 -1.22 0.222 -.4221643 .0981191\n", " 1 228 | -.1032158 .1309756 -0.79 0.431 -.360037 .1536054\n", " 1 229 | -.0374342 .1348438 -0.28 0.781 -.3018402 .2269718\n", " 1 230 | .0402859 .1314471 0.31 0.759 -.2174598 .2980317\n", " 1 231 | -.02454 .1364547 -0.18 0.857 -.2921048 .2430247\n", " 1 232 | -.3438165 .1352923 -2.54 0.011 -.609102 -.078531\n", " 1 233 | -.1208768 .1287439 -0.94 0.348 -.3733219 .1315683\n", " 1 234 | -.3386191 .1250257 -2.71 0.007 -.5837735 -.0934647\n", " |\n", " _cons | 2.966889 .0448488 66.15 0.000 2.878948 3.05483\n", "------------------------------+----------------------------------------------------------------\n", " sigma_u | 2.7676387\n", " sigma_e | 1.8750869\n", " rho | .68539534 (fraction of variance due to u_i)\n", "-----------------------------------------------------------------------------------------------\n", "\n", "manhattan_qt_results_xt.rtf\n", "dir : seeout\n", "\n", "note: 1.flag_school omitted because of collinearity\n", "note: 1.flag_priorityinters omitted because of collinearity\n", "note: 1.flag_seniors omitted because of collinearity\n", "\n", "Fixed-effects (within) regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", "\n", "R-sq: Obs per group:\n", " within = 0.0158 min = 25\n", " between = 0.1032 avg = 25.0\n", " overall = 0.0008 max = 25\n", "\n", " F(100,2735) = 8.16\n", "corr(u_i, Xb) = -0.3368 Prob > F = 0.0000\n", "\n", " (Std. Err. adjusted for 2,736 clusters in _ID)\n", "-----------------------------------------------------------------------------------------------\n", " | Robust\n", " personsinjured | Coef. Std. Err. t P>|t| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", " 1.flag_LPIS | -.0644481 .0207813 -3.10 0.002 -.1051967 -.0236994\n", " bike_route_tv | .0264822 .0249676 1.06 0.289 -.0224752 .0754395\n", " flag_street_improv | -.0711796 .0637752 -1.12 0.264 -.1962321 .0538728\n", " flag_left_turn | -.2908746 .0924338 -3.15 0.002 -.4721217 -.1096275\n", " |\n", " quarterly |\n", " 211 | -.0816929 .0333571 -2.45 0.014 -.1471005 -.0162854\n", " 212 | -.1136853 .0304925 -3.73 0.000 -.1734759 -.0538948\n", " 213 | -.0289309 .0309067 -0.94 0.349 -.0895338 .031672\n", " 214 | -.0249498 .0311975 -0.80 0.424 -.0861228 .0362233\n", " 215 | -.0782413 .0303598 -2.58 0.010 -.1377717 -.0187109\n", " 216 | -.1499837 .0299743 -5.00 0.000 -.2087583 -.0912091\n", " 217 | -.0721954 .0323175 -2.23 0.026 -.1355647 -.0088262\n", " 218 | -.0813737 .0316384 -2.57 0.010 -.1434112 -.0193362\n", " 219 | -.1130193 .0311614 -3.63 0.000 -.1741216 -.0519169\n", " 220 | -.2143398 .0291672 -7.35 0.000 -.2715318 -.1571478\n", " 221 | -.1280382 .0299885 -4.27 0.000 -.1868406 -.0692359\n", " 222 | -.0924132 .029177 -3.17 0.002 -.1496244 -.035202\n", " 223 | -.092327 .0305308 -3.02 0.003 -.1521927 -.0324613\n", " 224 | -.1630317 .0287858 -5.66 0.000 -.2194757 -.1065876\n", " 225 | -.2009617 .0298139 -6.74 0.000 -.2594217 -.1425018\n", " 226 | -.2825653 .0283669 -9.96 0.000 -.3381879 -.2269426\n", " 227 | -.2793448 .028964 -9.64 0.000 -.3361384 -.2225512\n", " 228 | -.2299277 .029502 -7.79 0.000 -.2877762 -.1720792\n", " 229 | -.1393751 .0304163 -4.58 0.000 -.1990164 -.0797338\n", " 230 | -.1934582 .0287095 -6.74 0.000 -.2497526 -.1371638\n", " 231 | -.1804036 .0312855 -5.77 0.000 -.2417493 -.1190579\n", " 232 | -.1947701 .029638 -6.57 0.000 -.2528853 -.1366548\n", " 233 | -.1508698 .0297721 -5.07 0.000 -.2092479 -.0924917\n", " 234 | -.1311745 .0302477 -4.34 0.000 -.1904852 -.0718638\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .0975552 .1011972 0.96 0.335 -.1008755 .2959859\n", " 1 212 | .1222734 .1003812 1.22 0.223 -.0745572 .3191041\n", " 1 213 | .0758608 .1002832 0.76 0.449 -.1207778 .2724993\n", " 1 214 | .1003733 .1248386 0.80 0.421 -.1444142 .3451608\n", " 1 215 | .1185399 .1058936 1.12 0.263 -.0890996 .3261794\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 216 | -.024868 .0854764 -0.29 0.771 -.1924728 .1427368\n", " 1 217 | -.0758144 .0885911 -0.86 0.392 -.2495267 .0978979\n", " 1 218 | .0034265 .0896315 0.04 0.970 -.1723258 .1791789\n", " 1 219 | .2245694 .1129453 1.99 0.047 .0031025 .4460362\n", " 1 220 | .0647765 .0920528 0.70 0.482 -.1157235 .2452765\n", " 1 221 | .0986406 .109726 0.90 0.369 -.1165137 .3137948\n", " 1 222 | -.0074572 .0938448 -0.08 0.937 -.1914711 .1765567\n", " 1 223 | -.0874066 .0783719 -1.12 0.265 -.2410807 .0662675\n", " 1 224 | .0669207 .1006339 0.66 0.506 -.1304055 .264247\n", " 1 225 | .1513374 .1004384 1.51 0.132 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-2.032708 -.4658567\n", " 1 232 | -1.351855 .4004074 -3.38 0.001 -2.136987 -.5667235\n", " 1 233 | -1.146555 .4155013 -2.76 0.006 -1.961283 -.331827\n", " 1 234 | -1.158634 .3778149 -3.07 0.002 -1.899465 -.4178022\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .04613 .0552291 0.84 0.404 -.0621651 .1544251\n", " 1 212 | .014135 .0573808 0.25 0.805 -.098379 .126649\n", " 1 213 | .015575 .0549535 0.28 0.777 -.0921796 .1233295\n", " 1 214 | .0678317 .0592099 1.15 0.252 -.0482689 .1839322\n", " 1 215 | .0488759 .0575293 0.85 0.396 -.0639293 .1616812\n", " 1 216 | .0640663 .0535542 1.20 0.232 -.0409445 .1690771\n", " 1 217 | .1116125 .0550732 2.03 0.043 .0036231 .2196019\n", " 1 218 | .0455876 .0588809 0.77 0.439 -.0698678 .1610431\n", " 1 219 | .075108 .0571309 1.31 0.189 -.0369162 .1871321\n", " 1 220 | .0397308 .0535761 0.74 0.458 -.0653228 .1447844\n", " 1 221 | .0552557 .0552834 1.00 0.318 -.0531458 .1636572\n", " 1 222 | -.0020417 .054016 -0.04 0.970 -.1079581 .1038746\n", " 1 223 | .1165343 .0573681 2.03 0.042 .0040452 .2290234\n", " 1 224 | .0704826 .0533518 1.32 0.187 -.0341314 .1750965\n", " 1 225 | .0455215 .054141 0.84 0.401 -.0606398 .1516829\n", " 1 226 | .032252 .0516954 0.62 0.533 -.0691139 .133618\n", " 1 227 | .0548579 .0539049 1.02 0.309 -.0508405 .1605564\n", " 1 228 | .0047376 .0529042 0.09 0.929 -.0989986 .1084738\n", " 1 229 | .0699751 .0683721 1.02 0.306 -.0640911 .2040413\n", " 1 230 | .0969088 .0547643 1.77 0.077 -.0104748 .2042924\n", " 1 231 | .0756696 .0567113 1.33 0.182 -.0355317 .1868709\n", " 1 232 | .0312543 .0535077 0.58 0.559 -.0736654 .136174\n", " 1 233 | .027213 .0545456 0.50 0.618 -.0797417 .1341677\n", " 1 234 | -.0005542 .0541945 -0.01 0.992 -.1068206 .1057122\n", " |\n", " _cons | .5817448 .0200652 28.99 0.000 .5424004 .6210893\n", "------------------------------+----------------------------------------------------------------\n", " sigma_u | .5225506\n", " sigma_e | .86639323\n", " rho | .26673841 (fraction of variance due to u_i)\n", "-----------------------------------------------------------------------------------------------\n", "\n", "manhattan_qt_results_xt.rtf\n", "dir : seeout\n", "\n", "note: 1.flag_school omitted because of collinearity\n", "note: 1.flag_priorityinters omitted because of collinearity\n", "note: 1.flag_seniors omitted because of collinearity\n", "\n", "Fixed-effects (within) regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", "\n", "R-sq: Obs per group:\n", " within = 0.0153 min = 25\n", " between = 0.1502 avg = 25.0\n", " overall = 0.0000 max = 25\n", "\n", " F(100,2735) = 6.60\n", "corr(u_i, Xb) = -0.3281 Prob > F = 0.0000\n", "\n", " (Std. Err. adjusted for 2,736 clusters in _ID)\n", "-----------------------------------------------------------------------------------------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " | Robust\n", " pedestriansinjured | Coef. Std. Err. t P>|t| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", " 1.flag_LPIS | -.0389096 .0109102 -3.57 0.000 -.0603027 -.0175165\n", " bike_route_tv | -.0110104 .0128063 -0.86 0.390 -.0361214 .0141005\n", " flag_street_improv | -.0457458 .0301265 -1.52 0.129 -.1048187 .0133272\n", " flag_left_turn | -.1676084 .0494322 -3.39 0.001 -.2645366 -.0706802\n", " |\n", " quarterly |\n", " 211 | .0134802 .0144283 0.93 0.350 -.0148113 .0417716\n", " 212 | .0205301 .0142177 1.44 0.149 -.0073485 .0484087\n", " 213 | .020869 .0147355 1.42 0.157 -.008025 .0497629\n", " 214 | .0011833 .0144453 0.08 0.935 -.0271415 .029508\n", " 215 | .0199535 .0147763 1.35 0.177 -.0090202 .0489273\n", " 216 | .0184185 .0144096 1.28 0.201 -.0098363 .0466734\n", " 217 | -.0105146 .0134318 -0.78 0.434 -.0368521 .0158229\n", " 218 | -.0355236 .0128223 -2.77 0.006 -.0606659 -.0103812\n", " 219 | .01597 .0139853 1.14 0.254 -.0114528 .0433928\n", " 220 | -.0241865 .0133525 -1.81 0.070 -.0503685 .0019955\n", " 221 | -.0290266 .0132177 -2.20 0.028 -.0549442 -.0031089\n", " 222 | -.0232654 .0136446 -1.71 0.088 -.0500201 .0034894\n", " 223 | .0041081 .0140965 0.29 0.771 -.0235328 .031749\n", " 224 | -.0146062 .0135574 -1.08 0.281 -.0411899 .0119775\n", " 225 | -.0717688 .0121003 -5.93 0.000 -.0954955 -.0480421\n", " 226 | -.0811499 .0124057 -6.54 0.000 -.1054754 -.0568244\n", " 227 | -.0701239 .0126792 -5.53 0.000 -.0949856 -.0452621\n", " 228 | -.0164721 .01446 -1.14 0.255 -.0448257 .0118814\n", " 229 | -.0345439 .0132476 -2.61 0.009 -.0605201 -.0085676\n", " 230 | -.075307 .0125927 -5.98 0.000 -.0999992 -.0506149\n", " 231 | -.027706 .0139795 -1.98 0.048 -.0551173 -.0002946\n", " 232 | -.0199675 .0134368 -1.49 0.137 -.0463148 .0063798\n", " 233 | -.0536704 .0128502 -4.18 0.000 -.0788675 -.0284734\n", " 234 | -.0611679 .0123874 -4.94 0.000 -.0854574 -.0368784\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .0636086 .0462062 1.38 0.169 -.0269941 .1542112\n", " 1 212 | .0767626 .0540553 1.42 0.156 -.0292308 .182756\n", " 1 213 | .0010027 .0495238 0.02 0.984 -.0961052 .0981106\n", " 1 214 | .0046304 .0482614 0.10 0.924 -.090002 .0992628\n", " 1 215 | .045382 .0554882 0.82 0.414 -.063421 .1541851\n", " 1 216 | .0034269 .0531592 0.06 0.949 -.1008094 .1076632\n", " 1 217 | .0215105 .0479176 0.45 0.654 -.0724479 .1154689\n", " 1 218 | .0357236 .0465507 0.77 0.443 -.0555545 .1270017\n", " 1 219 | .0599164 .0546911 1.10 0.273 -.0473236 .1671563\n", " 1 220 | .0473785 .0514908 0.92 0.358 -.0535863 .1483433\n", " 1 221 | -.0278527 .0389018 -0.72 0.474 -.1041327 .0484273\n", " 1 222 | -.0240847 .038758 -0.62 0.534 -.1000827 .0519132\n", " 1 223 | -.0364002 .0455522 -0.80 0.424 -.1257205 .05292\n", " 1 224 | .0005069 .0488308 0.01 0.992 -.0952422 .096256\n", " 1 225 | .0601257 .0483702 1.24 0.214 -.0347201 .1549716\n", " 1 226 | .0108541 .0389063 0.28 0.780 -.0654346 .0871428\n", " 1 227 | 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-.6247164 .1720347 -3.63 0.000 -.9620475 -.2873852\n", " 1 234 | -.435988 .1899168 -2.30 0.022 -.8083829 -.0635931\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .0088284 .0300745 0.29 0.769 -.0501426 .0677994\n", " 1 212 | -.0291783 .0288268 -1.01 0.312 -.0857028 .0273463\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 213 | -.0179459 .0289008 -0.62 0.535 -.0746155 .0387236\n", " 1 214 | -.0140875 .0287029 -0.49 0.624 -.0703691 .0421941\n", " 1 215 | .0103218 .0301903 0.34 0.732 -.0488762 .0695199\n", " 1 216 | .0035262 .0297563 0.12 0.906 -.0548208 .0618733\n", " 1 217 | .0234993 .0277572 0.85 0.397 -.0309278 .0779264\n", " 1 218 | .0164964 .0315266 0.52 0.601 -.045322 .0783148\n", " 1 219 | .0099515 .028425 0.35 0.726 -.0457852 .0656881\n", " 1 220 | -.0092797 .0277177 -0.33 0.738 -.0636295 .04507\n", " 1 221 | -.0045282 .0270736 -0.17 0.867 -.057615 .0485586\n", " 1 222 | -.0289338 .0267246 -1.08 0.279 -.0813362 .0234686\n", " 1 223 | .0393116 .029934 1.31 0.189 -.0193839 .0980072\n", " 1 224 | .0284557 .0286502 0.99 0.321 -.0277225 .0846338\n", " 1 225 | .0022798 .0262878 0.09 0.931 -.0492662 .0538258\n", " 1 226 | -.0033354 .0254486 -0.13 0.896 -.0532358 .0465651\n", " 1 227 | .0234572 .0269227 0.87 0.384 -.0293336 .0762481\n", " 1 228 | -.0140688 .0287275 -0.49 0.624 -.0703987 .0422611\n", " 1 229 | .0254135 .045984 0.55 0.581 -.0647535 .1155804\n", " 1 230 | .0261451 .0267899 0.98 0.329 -.0263855 .0786757\n", " 1 231 | .0040899 .0274098 0.15 0.881 -.0496561 .0578359\n", " 1 232 | .0153882 .0283394 0.54 0.587 -.0401807 .0709571\n", " 1 233 | .0056958 .026157 0.22 0.828 -.0455937 .0569852\n", " 1 234 | -.0079165 .0260335 -0.30 0.761 -.0589638 .0431307\n", " |\n", " _cons | .1940258 .0095533 20.31 0.000 .1752933 .2127582\n", "------------------------------+----------------------------------------------------------------\n", " sigma_u | .21613024\n", " sigma_e | .44099032\n", " rho | .19367842 (fraction of variance due to u_i)\n", "-----------------------------------------------------------------------------------------------\n", "\n", "manhattan_qt_results_xt.rtf\n", "dir : seeout\n", "\n", "note: 1.flag_school omitted because of collinearity\n", "note: 1.flag_priorityinters omitted because of collinearity\n", "note: 1.flag_seniors omitted because of collinearity\n", "\n", "Fixed-effects (within) regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", "\n", "R-sq: Obs per group:\n", " within = 0.0100 min = 25\n", " between = 0.0399 avg = 25.0\n", " overall = 0.0035 max = 25\n", "\n", " F(100,2735) = 6.35\n", "corr(u_i, Xb) = -0.1282 Prob > F = 0.0000\n", "\n", " (Std. Err. adjusted for 2,736 clusters in _ID)\n", "-----------------------------------------------------------------------------------------------\n", " | Robust\n", " cyclistinjured | Coef. Std. Err. t P>|t| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", " 1.flag_LPIS | -.0166129 .0066185 -2.51 0.012 -.0295906 -.0036353\n", " bike_route_tv | .0035207 .0073469 0.48 0.632 -.0108854 .0179268\n", " flag_street_improv | .0051524 .019795 0.26 0.795 -.0336622 .043967\n", " flag_left_turn | -.0284481 .0250037 -1.14 0.255 -.0774761 .02058\n", " |\n", " quarterly |\n", " 211 | -.0371728 .0086886 -4.28 0.000 -.0542097 -.0201358\n", " 212 | -.0441928 .0085278 -5.18 0.000 -.0609145 -.0274712\n", " 213 | -.0027924 .0099347 -0.28 0.779 -.0222727 .0166878\n", " 214 | .0110591 .010218 1.08 0.279 -.0089767 .0310948\n", " 215 | -.0179172 .0092143 -1.94 0.052 -.0359849 .0001505\n", " 216 | -.0484222 .0084877 -5.71 0.000 -.0650651 -.0317793\n", " 217 | .0097852 .0101966 0.96 0.337 -.0102086 .029779\n", " 218 | .0276229 .0109104 2.53 0.011 .0062293 .0490164\n", " 219 | -.0204895 .0088711 -2.31 0.021 -.0378843 -.0030947\n", " 220 | -.0570681 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.0185946 -0.59 0.555 -.0474333 .0254884\n", " 1 224 | .0061347 .0167368 0.37 0.714 -.0266834 .0389528\n", " 1 225 | -.0098287 .0176201 -0.56 0.577 -.0443788 .0247214\n", " 1 226 | .0071486 .0173757 0.41 0.681 -.0269223 .0412195\n", " 1 227 | .0266446 .0176512 1.51 0.131 -.0079665 .0612558\n", " 1 228 | .0153076 .0166416 0.92 0.358 -.0173237 .0479389\n", " 1 229 | .0187911 .0189738 0.99 0.322 -.0184133 .0559954\n", " 1 230 | .013647 .0182497 0.75 0.455 -.0221376 .0494315\n", " 1 231 | .0117325 .0175018 0.67 0.503 -.0225855 .0460505\n", " 1 232 | -.0068715 .0165379 -0.42 0.678 -.0392995 .0255564\n", " 1 233 | .0100051 .0180281 0.55 0.579 -.0253449 .0453551\n", " 1 234 | .0075772 .019216 0.39 0.693 -.0301021 .0452565\n", " |\n", " _cons | .0928261 .0061941 14.99 0.000 .0806804 .1049717\n", "------------------------------+----------------------------------------------------------------\n", " sigma_u | .10027676\n", " sigma_e | .28082736\n", " rho | .1130847 (fraction of variance due to u_i)\n", "-----------------------------------------------------------------------------------------------\n", "\n", "manhattan_qt_results_xt.rtf\n", "dir : seeout\n", "\n", "note: 1.flag_school omitted because of collinearity\n", "note: 1.flag_priorityinters omitted because of collinearity\n", "note: 1.flag_seniors omitted because of collinearity\n", "\n", "Fixed-effects (within) regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", "\n", "R-sq: Obs per group:\n", " within = 0.0061 min = 25\n", " between = 0.0476 avg = 25.0\n", " overall = 0.0001 max = 25\n", "\n", " F(100,2735) = 3.60\n", "corr(u_i, Xb) = -0.2673 Prob > F = 0.0000\n", "\n", " (Std. Err. adjusted for 2,736 clusters in _ID)\n", "-----------------------------------------------------------------------------------------------\n", " | Robust\n", " motoristinjured | Coef. Std. Err. t P>|t| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", " 1.flag_LPIS | -.0090599 .0153354 -0.59 0.555 -.03913 .0210102\n", " bike_route_tv | .03614 .0188536 1.92 0.055 -.0008287 .0731087\n", " flag_street_improv | -.0296986 .0461439 -0.64 0.520 -.1201789 .0607818\n", " flag_left_turn | -.0965775 .0603787 -1.60 0.110 -.21497 .0218151\n", " |\n", " quarterly |\n", " 211 | -.0580241 .0276245 -2.10 0.036 -.1121912 -.0038571\n", " 212 | -.0900464 .0246476 -3.65 0.000 -.1383762 -.0417165\n", " 213 | -.0470399 .0241018 -1.95 0.051 -.0942995 .0002197\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 214 | -.0372343 .0249969 -1.49 0.136 -.086249 .0117804\n", " 215 | -.0803418 .0247274 -3.25 0.001 -.1288281 -.0318556\n", " 216 | -.1200441 .0240789 -4.99 0.000 -.1672588 -.0728294\n", " 217 | -.0715463 .0270494 -2.65 0.008 -.1245856 -.018507\n", " 218 | -.0735583 .0258206 -2.85 0.004 -.1241881 -.0229284\n", " 219 | 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0.566 -.0565104 .10322\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 223 | .0880819 .0443048 1.99 0.047 .0012075 .1749562\n", " 1 224 | .038519 .0405712 0.95 0.342 -.0410342 .1180722\n", " 1 225 | .0623141 .041166 1.51 0.130 -.0184056 .1430337\n", " 1 226 | .0406596 .0406779 1.00 0.318 -.0391029 .1204222\n", " 1 227 | .0199484 .0409017 0.49 0.626 -.0602529 .1001497\n", " 1 228 | .0129173 .0417098 0.31 0.757 -.0688686 .0947031\n", " 1 229 | .0254928 .0423146 0.60 0.547 -.057479 .1084646\n", " 1 230 | .0611929 .0433807 1.41 0.158 -.0238693 .1462551\n", " 1 231 | .0590719 .0432009 1.37 0.172 -.0256379 .1437816\n", " 1 232 | .0229682 .0414104 0.55 0.579 -.0582307 .104167\n", " 1 233 | .0090049 .0419088 0.21 0.830 -.0731712 .0911809\n", " 1 234 | .0022732 .0426051 0.05 0.957 -.0812683 .0858147\n", " |\n", " _cons | .2942223 .0159184 18.48 0.000 .2630091 .3254356\n", "------------------------------+----------------------------------------------------------------\n", " sigma_u | .30129899\n", " sigma_e | .67768256\n", " rho | .16504609 (fraction of variance due to u_i)\n", "-----------------------------------------------------------------------------------------------\n", "\n", "manhattan_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "global filename manhattan_qt_results_xt\n", "xtreg collision_count i.flag_LPIS $time_variant_var $time_var $time_trend, fe vce(robust)\n", "outreg2 using \"$filename\", word replace ctitle(xtreg fe collision_count) title(Manhattan Fixed Effects Linear Models)\n", "xtreg personsinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe vce(robust)\n", "outreg2 using \"$filename\", word append ctitle(xtreg fe personsinjured)\n", "xtreg pedestriansinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe vce(robust)\n", "outreg2 using \"$filename\", word append ctitle(xtreg fe pedestriansinjured)\n", "xtreg cyclistinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe vce(robust)\n", "outreg2 using \"$filename\", word append ctitle(xtreg fe cyclistinjured)\n", "xtreg motoristinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe vce(robust)\n", "outreg2 using \"$filename\", word append ctitle(xtreg fe motoristinjured)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "note: 288 groups (7200 obs) dropped because of all zero outcomes\n", "\n", "Iteration 0: log pseudolikelihood = -103566.94 \n", "Iteration 1: log pseudolikelihood = -99691.291 \n", "Iteration 2: log pseudolikelihood = -99649.254 \n", "Iteration 3: log pseudolikelihood = -99649.205 \n", "Iteration 4: log pseudolikelihood = -99649.205 \n", "\n", "Conditional fixed-effects Poisson regression Number of obs = 61,200\n", "Group variable: _ID Number of groups = 2,448\n", "\n", " Obs per group:\n", " min = 25\n", " avg = 25.0\n", " max = 25\n", "\n", " Wald chi2(100) = 3086.35\n", "Log pseudolikelihood = -99649.205 Prob > chi2 = 0.0000\n", "\n", " (Std. Err. adjusted for clustering on _ID)\n", "-----------------------------------------------------------------------------------------------\n", " | Robust\n", " collision_count | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", " 1.flag_LPIS | .0048057 .0195622 0.25 0.806 -.0335355 .0431468\n", " bike_route_tv | .0351656 .0297782 1.18 0.238 -.0231987 .0935299\n", " flag_street_improv | -.0613567 .0635351 -0.97 0.334 -.1858832 .0631698\n", " flag_left_turn | -.0260318 .0521309 -0.50 0.618 -.1282065 .0761429\n", " |\n", " quarterly |\n", " 211 | -.1049751 .0210917 -4.98 0.000 -.146314 -.0636361\n", " 212 | -.1733256 .0214262 -8.09 0.000 -.2153203 -.1313309\n", " 213 | .0124606 .0205447 0.61 0.544 -.0278062 .0527274\n", " 214 | -.01916 .0199126 -0.96 0.336 -.058188 .019868\n", " 215 | -.0320798 .0206721 -1.55 0.121 -.0725963 .0084368\n", " 216 | -.1851656 .0218022 -8.49 0.000 -.2278971 -.1424341\n", " 217 | .0025509 .0205056 0.12 0.901 -.0376394 .0427412\n", " 218 | -.0143907 .0207009 -0.70 0.487 -.0549636 .0261823\n", " 219 | -.0361593 .0206516 -1.75 0.080 -.0766357 .0043171\n", " 220 | -.2019574 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pseudolikelihood = -48273.197 \n", "Iteration 1: log pseudolikelihood = -47662.614 \n", "Iteration 2: log pseudolikelihood = -47652.686 \n", "Iteration 3: log pseudolikelihood = -47652.663 \n", "Iteration 4: log pseudolikelihood = -47652.663 \n", "\n", "Conditional fixed-effects Poisson regression Number of obs = 59,150\n", "Group variable: _ID Number of groups = 2,366\n", "\n", " Obs per group:\n", " min = 25\n", " avg = 25.0\n", " max = 25\n", "\n", " Wald chi2(100) = 892.11\n", "Log pseudolikelihood = -47652.663 Prob > chi2 = 0.0000\n", "\n", " (Std. 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because of all zero outcomes\n", "\n", "Iteration 0: log pseudolikelihood = -22987.224 \n", "Iteration 1: log pseudolikelihood = -22610.373 \n", "Iteration 2: log pseudolikelihood = -22600.101 \n", "Iteration 3: log pseudolikelihood = -22600.064 \n", "Iteration 4: log pseudolikelihood = -22600.064 \n", "\n", "Conditional fixed-effects Poisson regression Number of obs = 53,200\n", "Group variable: _ID Number of groups = 2,128\n", "\n", " Obs per group:\n", " min = 25\n", " avg = 25.0\n", " max = 25\n", "\n", " Wald chi2(100) = 863.52\n", "Log pseudolikelihood = -22600.064 Prob > chi2 = 0.0000\n", "\n", " (Std. Err. adjusted for clustering on _ID)\n", "-----------------------------------------------------------------------------------------------\n", " | Robust\n", " pedestriansinjured | Coef. Std. Err. z P>|z| [95% Conf. 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groups (24025 obs) dropped because of all zero outcomes\n", "\n", "Iteration 0: log pseudolikelihood = -12811.614 \n", "Iteration 1: log pseudolikelihood = -12513.913 \n", "Iteration 2: log pseudolikelihood = -12503.6 \n", "Iteration 3: log pseudolikelihood = -12503.503 \n", "Iteration 4: log pseudolikelihood = -12503.503 \n", "\n", "Conditional fixed-effects Poisson regression Number of obs = 44,375\n", "Group variable: _ID Number of groups = 1,775\n", "\n", " Obs per group:\n", " min = 25\n", " avg = 25.0\n", " max = 25\n", "\n", " Wald chi2(100) = 891.31\n", "Log pseudolikelihood = -12503.503 Prob > chi2 = 0.0000\n", "\n", " (Std. 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= -30322.121 \n", "Iteration 1: log pseudolikelihood = -30011.156 \n", "Iteration 2: log pseudolikelihood = -30002.564 \n", "Iteration 3: log pseudolikelihood = -30002.522 \n", "Iteration 4: log pseudolikelihood = -30002.522 \n", "\n", "Conditional fixed-effects Poisson regression Number of obs = 53,250\n", "Group variable: _ID Number of groups = 2,130\n", "\n", " Obs per group:\n", " min = 25\n", " avg = 25.0\n", " max = 25\n", "\n", " Wald chi2(100) = 465.67\n", "Log pseudolikelihood = -30002.522 Prob > chi2 = 0.0000\n", "\n", " (Std. Err. adjusted for clustering on _ID)\n", "-----------------------------------------------------------------------------------------------\n", " | Robust\n", " motoristinjured | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", " 1.flag_LPIS | .0017582 .0550925 0.03 0.975 -.1062211 .1097375\n", " bike_route_tv | .1634696 .0823095 1.99 0.047 .0021459 .3247932\n", " flag_street_improv | -.0702311 .1573518 -0.45 0.655 -.3786348 .2381727\n", " flag_left_turn | -.1494563 .148127 -1.01 0.313 -.4397799 .1408672\n", " |\n", " quarterly |\n", " 211 | -.2081105 .1010033 -2.06 0.039 -.4060733 -.0101476\n", " 212 | -.3463587 .0945857 -3.66 0.000 -.5317433 -.1609741\n", " 213 | -.1696537 .08443 -2.01 0.044 -.3351335 -.0041738\n", " 214 | -.1277735 .0864258 -1.48 0.139 -.2971649 .041618\n", " 215 | -.3057988 .092957 -3.29 0.001 -.4879912 -.1236064\n", " 216 | -.4972785 .098499 -5.05 0.000 -.690333 -.304224\n", " 217 | -.2669669 .1014425 -2.63 0.008 -.4657906 -.0681431\n", " 218 | -.2730727 .0956987 -2.85 0.004 -.4606386 -.0855067\n", " 219 | -.4315808 .1016347 -4.25 0.000 -.6307812 -.2323804\n", " 220 | 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1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .0497706 .3940752 0.13 0.899 -.7226027 .8221439\n", " 1 212 | .0184947 .4301133 0.04 0.966 -.8245119 .8615014\n", " 1 213 | .1867724 .3164902 0.59 0.555 -.433537 .8070818\n", " 1 214 | .1936475 .4228728 0.46 0.647 -.635168 1.022463\n", " 1 215 | .2241159 .3377857 0.66 0.507 -.4379319 .8861636\n", " 1 216 | -.516036 .4375089 -1.18 0.238 -1.373538 .3414658\n", " 1 217 | -.6170551 .3921158 -1.57 0.116 -1.385588 .1514778\n", " 1 218 | -.1127132 .3447808 -0.33 0.744 -.7884712 .5630448\n", " 1 219 | .6049258 .3549894 1.70 0.088 -.0908407 1.300692\n", " 1 220 | -.5210988 .4704613 -1.11 0.268 -1.443186 .4009885\n", " 1 221 | .3285321 .3916164 0.84 0.402 -.439022 1.096086\n", " 1 222 | -.1413826 .4261814 -0.33 0.740 -.9766828 .6939176\n", " 1 223 | -.3702552 .3299323 -1.12 0.262 -1.016911 .2764003\n", " 1 224 | .202161 .3672666 0.55 0.582 -.5176682 .9219903\n", " 1 225 | .3003672 .347617 0.86 0.388 -.3809496 .981684\n", " 1 226 | -.5021801 .4678492 -1.07 0.283 -1.419148 .4147875\n", " 1 227 | -.8032077 .464662 -1.73 0.084 -1.713928 .107513\n", " 1 228 | -.8188469 .5266817 -1.55 0.120 -1.851124 .2134303\n", " 1 229 | -.3713226 .4430854 -0.84 0.402 -1.239754 .4971088\n", " 1 230 | -.6776659 .3511487 -1.93 0.054 -1.365905 .0105729\n", " 1 231 | .3312512 .3166211 1.05 0.295 -.2893148 .9518172\n", " 1 232 | .4967025 .3907112 1.27 0.204 -.2690773 1.262482\n", " 1 233 | .0874135 .3419271 0.26 0.798 -.5827513 .7575782\n", " 1 234 | .3179282 .326568 0.97 0.330 -.3221333 .9579897\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.3823619 .3202365 -1.19 0.232 -1.010014 .2452901\n", " 1 212 | -.2079476 .3885176 -0.54 0.592 -.9694281 .5535329\n", " 1 213 | .2479381 .3015041 0.82 0.411 -.3429991 .8388753\n", " 1 214 | -.12177 .359727 -0.34 0.735 -.826822 .583282\n", " 1 215 | .1438644 .3133077 0.46 0.646 -.4702074 .7579361\n", " 1 216 | -.0581157 .3671459 -0.16 0.874 -.7777085 .6614771\n", " 1 217 | -.1347454 .3259457 -0.41 0.679 -.7735872 .5040965\n", " 1 218 | -.3513684 .289043 -1.22 0.224 -.9178824 .2151456\n", " 1 219 | -.2212744 .4644208 -0.48 0.634 -1.131522 .6889737\n", " 1 220 | -1.04117 .3720242 -2.80 0.005 -1.770324 -.3120155\n", " 1 221 | .0330361 .2940877 0.11 0.911 -.5433652 .6094375\n", " 1 222 | .0504648 .3258149 0.15 0.877 -.5881207 .6890502\n", " 1 223 | -.0138015 .3193623 -0.04 0.966 -.6397402 .6121372\n", " 1 224 | .0284929 .247462 0.12 0.908 -.4565236 .5135094\n", " 1 225 | -.1125391 .3650179 -0.31 0.758 -.8279611 .6028829\n", " 1 226 | -.4294914 .5014902 -0.86 0.392 -1.412394 .5534114\n", " 1 227 | -.2782253 .4206679 -0.66 0.508 -1.102719 .5462687\n", " 1 228 | .0131349 .3882523 0.03 0.973 -.7478256 .7740953\n", " 1 229 | .3081686 .3628934 0.85 0.396 -.4030893 1.019427\n", " 1 230 | -.4034699 .3695641 -1.09 0.275 -1.127802 .3208624\n", " 1 231 | -.235649 .3697664 -0.64 0.524 -.9603778 .4890798\n", " 1 232 | -.5926137 .3321292 -1.78 0.074 -1.243575 .0583476\n", " 1 233 | -.2879961 .3528063 -0.82 0.414 -.9794838 .4034915\n", " 1 234 | -.7760505 .3828664 -2.03 0.043 -1.526455 -.0256461\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .0164084 .1709093 0.10 0.924 -.3185677 .3513845\n", " 1 212 | .130391 .1792792 0.73 0.467 -.2209898 .4817717\n", " 1 213 | .0821604 .1558429 0.53 0.598 -.223286 .3876067\n", " 1 214 | .254668 .1601966 1.59 0.112 -.0593115 .5686475\n", " 1 215 | .105141 .1649216 0.64 0.524 -.2180994 .4283813\n", " 1 216 | .1908394 .1689055 1.13 0.259 -.1402093 .521888\n", " 1 217 | .27116 .1624875 1.67 0.095 -.0473097 .5896297\n", " 1 218 | .1589548 .1666869 0.95 0.340 -.1677455 .4856552\n", " 1 219 | .2431909 .1701036 1.43 0.153 -.090206 .5765879\n", " 1 220 | .2406771 .1821827 1.32 0.186 -.1163944 .5977486\n", " 1 221 | .2071205 .1647449 1.26 0.209 -.1157736 .5300146\n", " 1 222 | .0584859 .1612369 0.36 0.717 -.2575326 .3745044\n", " 1 223 | .3408325 .1666927 2.04 0.041 .0141208 .6675441\n", " 1 224 | .1224748 .165737 0.74 0.460 -.2023637 .4473134\n", " 1 225 | .2353289 .1683631 1.40 0.162 -.0946567 .5653144\n", " 1 226 | .1288232 .2009168 0.64 0.521 -.2649664 .5226129\n", " 1 227 | -.0114234 .2095632 -0.05 0.957 -.4221598 .3993129\n", " 1 228 | -.0318945 .1887113 -0.17 0.866 -.4017619 .337973\n", " 1 229 | .0684211 .1655764 0.41 0.679 -.2561028 .3929449\n", " 1 230 | .2185607 .1733956 1.26 0.207 -.1212885 .5584099\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 231 | .2098508 .1747361 1.20 0.230 -.1326256 .5523273\n", " 1 232 | .0059025 .1860687 0.03 0.975 -.3587854 .3705905\n", " 1 233 | -.0285653 .1687669 -0.17 0.866 -.3593424 .3022118\n", " 1 234 | -.0687441 .1716179 -0.40 0.689 -.405109 .2676207\n", "-----------------------------------------------------------------------------------------------\n", "\n", "manhattan_qt_results_xt_poisson.rtf\n", "dir : seeout\n" ] } ], "source": [ "global filename manhattan_qt_results_xt_poisson\n", "xtpoisson collision_count i.flag_LPIS $time_variant_var $time_var $time_trend, fe vce(robust)\n", "outreg2 using \"$filename\", word replace ctitle(xtpoisson fe collision_count) title(Manhattan Fixed Effects Poisson Models)\n", "xtpoisson personsinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe vce(robust)\n", "outreg2 using \"$filename\", word append ctitle(xtpoisson fe personsinjured)\n", "xtpoisson pedestriansinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe vce(robust)\n", "outreg2 using \"$filename\", word append ctitle(xtpoisson fe pedestriansinjured)\n", "xtpoisson cyclistinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe vce(robust)\n", "outreg2 using \"$filename\", word append ctitle(xtpoisson fe cyclistinjured)\n", "xtpoisson motoristinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe vce(robust)\n", "outreg2 using \"$filename\", word append ctitle(xtpoisson fe motoristinjured)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Spatial Lag Model" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "C:\\Users\\jerem\\Box Sync\\Policy Evaluation\\manuscripts\n", "\n" ] } ], "source": [ "\n", "global filename splm_qt_results_xt" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -133972.25 \n", "Iteration 1: log likelihood = -133970.39 \n", "Iteration 2: log likelihood = -133970.39 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -133970.39 \n", "Iteration 1: log likelihood = -133970.39 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(101) = 7445.38\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -1.340e+05 Pseudo R2 = 0.0036\n", "\n", "-----------------------------------------------------------------------------------------------\n", " collision_count | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "collision_count |\n", " 1.flag_LPIS | -.1057683 .0376708 -2.81 0.005 -.1796017 -.0319349\n", " bike_route_tv | .1529832 .0512547 2.98 0.003 .052526 .2534405\n", " flag_street_improv | -.4548321 .0936469 -4.86 0.000 -.6383767 -.2712875\n", " flag_left_turn | -.9472238 .1044778 -9.07 0.000 -1.151997 -.7424509\n", " |\n", " quarterly |\n", " 211 | -.2286899 .0605049 -3.78 0.000 -.3472772 -.1101025\n", " 212 | -.3613775 .0605386 -5.97 0.000 -.480031 -.242724\n", " 213 | .0290274 .0604864 0.48 0.631 -.0895238 .1475785\n", " 214 | -.046482 .0604901 -0.77 0.442 -.1650404 .0720765\n", " 215 | -.0755549 .0605019 -1.25 0.212 -.1941364 .0430267\n", " 216 | -.3842826 .0605623 -6.35 0.000 -.5029825 -.2655827\n", " 217 | .0061105 .0605112 0.10 0.920 -.1124893 .1247104\n", " 218 | -.0317946 .0605155 -0.53 0.599 -.1504027 .0868135\n", " 219 | -.0809867 .060521 -1.34 0.181 -.1996056 .0376323\n", " 220 | -.4075397 .0606046 -6.72 0.000 -.5263226 -.2887568\n", " 221 | .0301147 .0605451 0.50 0.619 -.0885514 .1487809\n", " 222 | .0201174 .0605954 0.33 0.740 -.0986473 .1388822\n", " 223 | .0647168 .0606145 1.07 0.286 -.0540855 .1835191\n", " 224 | -.2794743 .0606563 -4.61 0.000 -.3983585 -.1605901\n", " 225 | -.5605923 .0607807 -9.22 0.000 -.6797204 -.4414642\n", " 226 | -1.069358 .0612061 -17.47 0.000 -1.189319 -.9493959\n", " 227 | -1.082989 .0612365 -17.69 0.000 -1.20301 -.9629674\n", " 228 | -.9051357 .0611171 -14.81 0.000 -1.024923 -.7853484\n", " 229 | -.5222711 .0609247 -8.57 0.000 -.6416813 -.4028608\n", " 230 | -.8355903 .0611451 -13.67 0.000 -.9554325 -.7157482\n", " 231 | -.7541349 .0611268 -12.34 0.000 -.8739412 -.6343285\n", " 232 | -.7659619 .0611503 -12.53 0.000 -.8858143 -.6461094\n", " 233 | -.5306819 .0611893 -8.67 0.000 -.6506108 -.410753\n", " 234 | -.6844269 .0614037 -11.15 0.000 -.804776 -.5640778\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .3475187 .2309691 1.50 0.132 -.1051724 .8002098\n", " 1 212 | .3377302 .2309692 1.46 0.144 -.1149611 .7904216\n", " 1 213 | .2423385 .2309698 1.05 0.294 -.2103541 .695031\n", " 1 214 | .1003283 .2309699 0.43 0.664 -.3523643 .5530209\n", " 1 215 | -.0028737 .2309701 -0.01 0.990 -.4555667 .4498193\n", " 1 216 | .1553831 .2309698 0.67 0.501 -.2973094 .6080755\n", " 1 217 | .20832 .2309703 0.90 0.367 -.2443734 .6610135\n", " 1 218 | .0627602 .2309694 0.27 0.786 -.3899316 .515452\n", " 1 219 | .5219715 .2309699 2.26 0.024 .0692788 .9746642\n", " 1 220 | .4756751 .2309704 2.06 0.039 .0229815 .9283686\n", " 1 221 | .0664535 .2309709 0.29 0.774 -.3862412 .5191481\n", " 1 222 | .1800464 .230971 0.78 0.436 -.2726485 .6327413\n", " 1 223 | .1921536 .2309725 0.83 0.405 -.2605441 .6448513\n", " 1 224 | .1040838 .2309723 0.45 0.652 -.3486137 .5567812\n", " 1 225 | .4898059 .2309729 2.12 0.034 .0371074 .9425044\n", " 1 226 | .2593691 .230983 1.12 0.261 -.1933492 .7120875\n", " 1 227 | .3061311 .2309798 1.33 0.185 -.146581 .7588433\n", " 1 228 | .3092696 .2309823 1.34 0.181 -.1434475 .7619867\n", " 1 229 | .5195877 .2309759 2.25 0.024 .0668833 .9722921\n", " 1 230 | .4594732 .2309762 1.99 0.047 .0067683 .9121782\n", " 1 231 | .5458256 .2309778 2.36 0.018 .0931175 .9985337\n", " 1 232 | .5251141 .2309758 2.27 0.023 .0724099 .9778182\n", " 1 233 | .2639302 .2309754 1.14 0.253 -.1887732 .7166336\n", " 1 234 | .5291465 .2309758 2.29 0.022 .0764422 .9818507\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.7766743 .3947448 -1.97 0.049 -1.55036 -.0029887\n", " 1 212 | -1.435385 .3947452 -3.64 0.000 -2.209072 -.661699\n", " 1 213 | -.7706868 .394744 -1.95 0.051 -1.544371 .0029972\n", " 1 214 | -.2585809 .3947467 -0.66 0.512 -1.03227 .5151085\n", " 1 215 | .091362 .3947488 0.23 0.817 -.6823314 .8650554\n", " 1 216 | -1.840716 .3947526 -4.66 0.000 -2.614416 -1.067015\n", " 1 217 | -1.074648 .3947529 -2.72 0.006 -1.84835 -.3009469\n", " 1 218 | -.8034885 .3947551 -2.04 0.042 -1.577194 -.0297827\n", " 1 219 | -1.457292 .3947635 -3.69 0.000 -2.231015 -.6835702\n", " 1 220 | -2.497653 .3947695 -6.33 0.000 -3.271387 -1.723919\n", " 1 221 | -1.497446 .3947496 -3.79 0.000 -2.271142 -.7237514\n", " 1 222 | .4100963 .3948687 1.04 0.299 -.3638322 1.184025\n", " 1 223 | -1.192517 .394868 -3.02 0.003 -1.966444 -.4185897\n", " 1 224 | -1.559013 .3948685 -3.95 0.000 -2.332941 -.7850849\n", " 1 225 | -2.578821 .3948734 -6.53 0.000 -3.352758 -1.804883\n", " 1 226 | -3.84311 .3949488 -9.73 0.000 -4.617196 -3.069025\n", " 1 227 | -4.373403 .3951514 -11.07 0.000 -5.147885 -3.59892\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 228 | -3.82152 .3951202 -9.67 0.000 -4.595941 -3.047099\n", " 1 229 | -3.781369 .3950642 -9.57 0.000 -4.555681 -3.007057\n", " 1 230 | -3.995494 .3953501 -10.11 0.000 -4.770366 -3.220621\n", " 1 231 | -4.256165 .3954148 -10.76 0.000 -5.031164 -3.481167\n", " 1 232 | -3.666383 .3954135 -9.27 0.000 -4.44138 -2.891387\n", " 1 233 | -3.586055 .3953749 -9.07 0.000 -4.360975 -2.811135\n", " 1 234 | -3.871123 .3953709 -9.79 0.000 -4.646035 -3.09621\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .2086088 .1115945 1.87 0.062 -.0101125 .4273301\n", " 1 212 | .006489 .1115835 0.06 0.954 -.2122107 .2251887\n", " 1 213 | .0846442 .1115843 0.76 0.448 -.134057 .3033455\n", " 1 214 | .141129 .1115967 1.26 0.206 -.0775965 .3598545\n", " 1 215 | .2247747 .1115975 2.01 0.044 .0060477 .4435017\n", " 1 216 | .1633361 .1115919 1.46 0.143 -.0553801 .3820522\n", " 1 217 | .1627366 .1116029 1.46 0.145 -.056001 .3814741\n", " 1 218 | -.0563359 .1115965 -0.50 0.614 -.2750611 .1623893\n", " 1 219 | .11098 .1116457 0.99 0.320 -.1078416 .3298016\n", " 1 220 | -.0163657 .1116426 -0.15 0.883 -.2351812 .2024497\n", " 1 221 | .1931593 .1116358 1.73 0.084 -.0256429 .4119615\n", " 1 222 | .113286 .1116297 1.01 0.310 -.1055041 .3320761\n", " 1 223 | .2228152 .1116457 2.00 0.046 .0039937 .4416368\n", " 1 224 | .0037507 .1116441 0.03 0.973 -.2150678 .2225692\n", " 1 225 | -.2884587 .1116582 -2.58 0.010 -.5073048 -.0696126\n", " 1 226 | -.1957706 .1117706 -1.75 0.080 -.414837 .0232957\n", " 1 227 | -.1402731 .1118617 -1.25 0.210 -.3595181 .0789718\n", " 1 228 | -.0895315 .1119226 -0.80 0.424 -.3088957 .1298327\n", " 1 229 | -.0366937 .1120358 -0.33 0.743 -.2562799 .1828925\n", " 1 230 | .0285671 .1120405 0.25 0.799 -.1910282 .2481625\n", " 1 231 | -.0277308 .1120545 -0.25 0.805 -.2473536 .191892\n", " 1 232 | -.2955704 .1120651 -2.64 0.008 -.515214 -.0759267\n", " 1 233 | -.10731 .1119498 -0.96 0.338 -.3267277 .1121076\n", " 1 234 | -.2854474 .1119494 -2.55 0.011 -.5048641 -.0660306\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " collision_count | .1879056 .0062804 29.92 0.000 .1755963 .2002149\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | 1.856253 .0051341 1.846218 1.866343\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(1) = 895.18 Prob > chi2 = 0.0000\n", "\n", "splm_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "// Spatial Lagged Model collision_count\n", "global outcome collision_count\n", "spxtregress $outcome i.flag_LPIS $time_variant_var $time_var $time_trend, fe dvarlag(W)\n", "outreg2 using \"$filename\", word replace ctitle(spxtregress fe $outcome) title(Spatial Lagged Model)" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "progress : 50% 100% \n", "\n", "Average impacts Number of obs = 68,400\n", "\n", "------------------------------------------------------------------------------\n", " | Delta-Method\n", " | dy/dx Std. Err. z P>|z| [95% Conf. Interval]\n", "-------------+----------------------------------------------------------------\n", "direct |\n", " flag_LPIS |\n", " 1 | -.1063638 .0378835 -2.81 0.005 -.1806141 -.0321134\n", "-------------+----------------------------------------------------------------\n", "indirect |\n", " flag_LPIS |\n", " 1 | -.0219132 .0078668 -2.79 0.005 -.0373318 -.0064946\n", "-------------+----------------------------------------------------------------\n", "total |\n", " flag_LPIS |\n", " 1 | -.128277 .0457104 -2.81 0.005 -.2178678 -.0386861\n", "------------------------------------------------------------------------------\n", "\n", "splm_qt_results_xt.rtf\n", "dir : seeout\n", "\n", ". rend, fe vce(cluster intersection_id)\n", "command rend is unrecognized\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "r(199);\n", "r(199);\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n" ] } ], "source": [ "estat impact flag_LPIS" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -83705.847 \n", "Iteration 1: log likelihood = -83702.951 \n", "Iteration 2: log likelihood = -83702.951 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -83702.951 \n", "Iteration 1: log likelihood = -83702.951 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(101) = 1057.24\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -8.370e+04 Pseudo R2 = 0.0008\n", "\n", "-----------------------------------------------------------------------------------------------\n", " personsinjured | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "personsinjured |\n", " 1.flag_LPIS | -.0642533 .0175663 -3.66 0.000 -.0986826 -.029824\n", " bike_route_tv | .0259784 .023901 1.09 0.277 -.0208667 .0728236\n", " flag_street_improv | -.0712077 .0436729 -1.63 0.103 -.1568049 .0143896\n", " flag_left_turn | -.2899753 .0487187 -5.95 0.000 -.3854622 -.1944883\n", " |\n", " quarterly |\n", " 211 | -.080483 .0282116 -2.85 0.004 -.1357768 -.0251892\n", " 212 | -.1121403 .0282144 -3.97 0.000 -.1674396 -.056841\n", " 213 | -.0286502 .0282084 -1.02 0.310 -.0839377 .0266373\n", " 214 | -.0248531 .0282098 -0.88 0.378 -.0801433 .0304371\n", " 215 | -.077408 .0282169 -2.74 0.006 -.1327121 -.0221039\n", " 216 | -.1476869 .0282309 -5.23 0.000 -.2030184 -.0923553\n", " 217 | -.07105 .0282238 -2.52 0.012 -.1263676 -.0157324\n", " 218 | -.0801546 .028226 -2.84 0.005 -.1354765 -.0248327\n", " 219 | -.1114053 .0282307 -3.95 0.000 -.1667364 -.0560743\n", " 220 | -.2108822 .0282601 -7.46 0.000 -.266271 -.1554933\n", " 221 | -.1260923 .0282471 -4.46 0.000 -.1814557 -.0707289\n", " 222 | -.0908856 .028266 -3.22 0.001 -.1462861 -.0354852\n", " 223 | -.0909396 .0282732 -3.22 0.001 -.146354 -.0355251\n", " 224 | -.1605432 .0282878 -5.68 0.000 -.2159862 -.1051003\n", " 225 | -.1977931 .028301 -6.99 0.000 -.2532621 -.1423242\n", " 226 | -.2779041 .028359 -9.80 0.000 -.3334867 -.2223215\n", " 227 | -.2746072 .0283662 -9.68 0.000 -.3302039 -.2190105\n", " 228 | -.2259165 .0283641 -7.96 0.000 -.2815091 -.1703239\n", " 229 | -.1369248 .0283574 -4.83 0.000 -.1925042 -.0813453\n", " 230 | -.1900187 .0283806 -6.70 0.000 -.2456437 -.1343936\n", " 231 | -.1769843 .028396 -6.23 0.000 -.2326393 -.1213292\n", " 232 | -.1913043 .0284039 -6.74 0.000 -.246975 -.1356337\n", " 233 | -.1482106 .0284744 -5.21 0.000 -.2040195 -.0924017\n", " 234 | -.128671 .0285291 -4.51 0.000 -.184587 -.0727551\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .0973775 .107714 0.90 0.366 -.1137381 .3084931\n", " 1 212 | .1224571 .107714 1.14 0.256 -.0886585 .3335727\n", " 1 213 | .0762032 .1077143 0.71 0.479 -.134913 .2873194\n", " 1 214 | .0999176 .1077144 0.93 0.354 -.1111988 .3110339\n", " 1 215 | .1187999 .1077143 1.10 0.270 -.0923163 .3299161\n", " 1 216 | -.0248527 .1077143 -0.23 0.818 -.2359689 .1862634\n", " 1 217 | -.0745455 .1077156 -0.69 0.489 -.2856642 .1365732\n", " 1 218 | .0035347 .1077141 0.03 0.974 -.2075811 .2146505\n", " 1 219 | .2248694 .107714 2.09 0.037 .0137538 .435985\n", " 1 220 | .0650213 .107714 0.60 0.546 -.1460942 .2761368\n", " 1 221 | .099063 .1077142 0.92 0.358 -.112053 .3101791\n", " 1 222 | -.0077227 .1077148 -0.07 0.943 -.2188397 .2033944\n", " 1 223 | -.0876926 .1077154 -0.81 0.416 -.2988109 .1234258\n", " 1 224 | .06652 .1077156 0.62 0.537 -.1445987 .2776388\n", " 1 225 | .1514554 .1077155 1.41 0.160 -.059663 .3625739\n", " 1 226 | .027074 .1077205 0.25 0.802 -.1840543 .2382023\n", " 1 227 | .0027623 .107719 0.03 0.980 -.208363 .2138876\n", " 1 228 | .0151825 .1077198 0.14 0.888 -.1959444 .2263095\n", " 1 229 | -.0046934 .1077178 -0.04 0.965 -.2158164 .2064295\n", " 1 230 | .080294 .1077171 0.75 0.456 -.1308275 .2914156\n", " 1 231 | .1444909 .1077173 1.34 0.180 -.0666311 .3556129\n", " 1 232 | .1545376 .1077174 1.43 0.151 -.0565847 .3656599\n", " 1 233 | .0815181 .107717 0.76 0.449 -.1296034 .2926395\n", " 1 234 | .1806489 .1077167 1.68 0.094 -.030472 .3917697\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.6071898 .1840914 -3.30 0.001 -.9680024 -.2463773\n", " 1 212 | -.4067897 .1840923 -2.21 0.027 -.7676039 -.0459756\n", " 1 213 | -.0266383 .1840932 -0.14 0.885 -.3874542 .3341777\n", " 1 214 | -.1384189 .1840925 -0.75 0.452 -.4992336 .2223957\n", " 1 215 | .1676965 .1840939 0.91 0.362 -.1931208 .5285139\n", " 1 216 | -.5353423 .184096 -2.91 0.004 -.8961638 -.1745209\n", " 1 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-1.609015 -.8861985\n", " 1 232 | -1.350357 .1843931 -7.32 0.000 -1.711761 -.9889535\n", " 1 233 | -1.143716 .1843826 -6.20 0.000 -1.505099 -.7823328\n", " 1 234 | -1.15723 .1843822 -6.28 0.000 -1.518612 -.7958472\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .0460779 .0520377 0.89 0.376 -.0559141 .1480699\n", " 1 212 | .0143304 .0520378 0.28 0.783 -.0876618 .1163225\n", " 1 213 | .0155588 .0520375 0.30 0.765 -.0864328 .1175504\n", " 1 214 | .0674945 .0520425 1.30 0.195 -.0345069 .1694959\n", " 1 215 | .0486202 .0520404 0.93 0.350 -.0533772 .1506176\n", " 1 216 | .0636044 .0520407 1.22 0.222 -.0383935 .1656022\n", " 1 217 | .1100155 .0520467 2.11 0.035 .0080058 .2120253\n", " 1 218 | .0456058 .0520433 0.88 0.381 -.0563973 .1476089\n", " 1 219 | .0743308 .0520657 1.43 0.153 -.0277161 .1763778\n", " 1 220 | .0396032 .052065 0.76 0.447 -.0624424 .1416487\n", " 1 221 | .0551083 .0520597 1.06 0.290 -.0469269 .1571435\n", " 1 222 | -.001819 .0520582 -0.03 0.972 -.1038513 .1002133\n", " 1 223 | .1157909 .0520659 2.22 0.026 .0137436 .2178382\n", " 1 224 | .0703766 .0520658 1.35 0.176 -.0316704 .1724237\n", " 1 225 | .0451418 .0520684 0.87 0.386 -.0569103 .1471939\n", " 1 226 | .0322205 .0521221 0.62 0.536 -.0699369 .1343778\n", " 1 227 | .0543094 .0521668 1.04 0.298 -.0479357 .1565546\n", " 1 228 | .0048687 .0521954 0.09 0.926 -.0974324 .1071698\n", " 1 229 | .0694605 .0522491 1.33 0.184 -.0329458 .1718668\n", " 1 230 | .0958905 .0522522 1.84 0.066 -.006522 .1983029\n", " 1 231 | .0746657 .052259 1.43 0.153 -.02776 .1770915\n", " 1 232 | .0309175 .0522571 0.59 0.554 -.0715045 .1333395\n", " 1 233 | .0274331 .0522082 0.53 0.599 -.0748931 .1297592\n", " 1 234 | -.0001724 .052202 -0.00 0.997 -.1024865 .1021416\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " personsinjured | .0170821 .0070908 2.41 0.016 .0031844 .0309798\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | .8656763 .0023888 .8610069 .870371\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(1) = 5.80 Prob > chi2 = 0.0160\n", "\n", "splm_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "// Spatial Lagged Model personsinjured\n", "global outcome personsinjured\n", "spxtregress $outcome i.flag_LPIS $time_variant_var $time_var $time_trend, fe dvarlag(W)\n", "outreg2 using \"$filename\", word append ctitle(spxtregress fe $outcome)" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "progress : 50% 100% \n", "\n", "Average impacts Number of obs = 68,400\n", "\n", "------------------------------------------------------------------------------\n", " | Delta-Method\n", " | dy/dx Std. Err. z P>|z| [95% Conf. Interval]\n", "-------------+----------------------------------------------------------------\n", "direct |\n", " flag_LPIS |\n", " 1 | -.0642561 .017567 -3.66 0.000 -.0986869 -.0298253\n", "-------------+----------------------------------------------------------------\n", "indirect |\n", " flag_LPIS |\n", " 1 | -.0010319 .0005169 -2.00 0.046 -.0020449 -.0000189\n", "-------------+----------------------------------------------------------------\n", "total |\n", " flag_LPIS |\n", " 1 | -.065288 .0178525 -3.66 0.000 -.1002783 -.0302978\n", "------------------------------------------------------------------------------\n" ] } ], "source": [ "estat impact flag_LPIS" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -39361.9 \n", "Iteration 1: log likelihood = -39361.896 \n", "Iteration 2: log likelihood = -39361.896 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -39361.896 \n", "Iteration 1: log likelihood = -39361.896 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(101) = 1022.21\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -3.936e+04 Pseudo R2 = 0.0000\n", "\n", "-----------------------------------------------------------------------------------------------\n", " pedestriansinjured | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "pedestriansinjured |\n", " 1.flag_LPIS | -.0389064 .0089417 -4.35 0.000 -.0564319 -.021381\n", " bike_route_tv | -.011015 .012166 -0.91 0.365 -.0348599 .0128298\n", " flag_street_improv | -.0457492 .0222308 -2.06 0.040 -.0893208 -.0021777\n", " flag_left_turn | -.1676037 .0247986 -6.76 0.000 -.216208 -.1189994\n", " |\n", " quarterly |\n", " 211 | .013472 .0143586 0.94 0.348 -.0146702 .0416142\n", " 212 | .0205154 .0143592 1.43 0.153 -.0076281 .0486589\n", " 213 | .020862 .014359 1.45 0.146 -.0072811 .0490051\n", " 214 | .0011847 .0143596 0.08 0.934 -.0269596 .029329\n", " 215 | .0199367 .0143634 1.39 0.165 -.008215 .0480884\n", " 216 | .0184068 .0143627 1.28 0.200 -.0097437 .0465572\n", " 217 | -.0105067 .014365 -0.73 0.465 -.0386615 .0176481\n", " 218 | -.0355044 .0143671 -2.47 0.013 -.0636634 -.0073453\n", " 219 | .0159608 .0143665 1.11 0.267 -.0121971 .0441187\n", " 220 | -.0241698 .0143679 -1.68 0.093 -.0523303 .0039907\n", " 221 | -.0290043 .0143749 -2.02 0.044 -.0571785 -.00083\n", " 222 | -.0232439 .0143866 -1.62 0.106 -.0514411 .0049533\n", " 223 | .0041092 .0143889 0.29 0.775 -.0240925 .0323109\n", " 224 | -.0145966 .0143901 -1.01 0.310 -.0428006 .0136075\n", " 225 | -.0717218 .0144 -4.98 0.000 -.0999453 -.0434983\n", " 226 | -.0810929 .0144159 -5.63 0.000 -.1093476 -.0528382\n", " 227 | -.0700716 .0144163 -4.86 0.000 -.098327 -.0418163\n", " 228 | -.0164496 .0144154 -1.14 0.254 -.0447033 .0118041\n", " 229 | -.0345124 .0144297 -2.39 0.017 -.0627941 -.0062307\n", " 230 | -.0752539 .0144405 -5.21 0.000 -.1035566 -.0469511\n", " 231 | -.0276754 .0144403 -1.92 0.055 -.0559779 .0006272\n", " 232 | -.0199434 .0144424 -1.38 0.167 -.0482499 .0083631\n", " 233 | -.053625 .0144923 -3.70 0.000 -.0820294 -.0252207\n", " 234 | -.0611189 .0145228 -4.21 0.000 -.089583 -.0326548\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .0636056 .0548295 1.16 0.246 -.0438583 .1710695\n", " 1 212 | .0767844 .0548301 1.40 0.161 -.0306805 .1842494\n", " 1 213 | .0010202 .05483 0.02 0.985 -.1064446 .108485\n", " 1 214 | .0046344 .0548297 0.08 0.933 -.1028298 .1120986\n", " 1 215 | .0453862 .0548297 0.83 0.408 -.062078 .1528505\n", " 1 216 | .0034298 .0548297 0.06 0.950 -.1040344 .110894\n", " 1 217 | .0215262 .05483 0.39 0.695 -.0859385 .128991\n", " 1 218 | .0357364 .0548298 0.65 0.515 -.071728 .1432008\n", " 1 219 | .0599221 .0548295 1.09 0.274 -.0475418 .167386\n", " 1 220 | .0473926 .0548297 0.86 0.387 -.0600717 .1548568\n", " 1 221 | -.0278285 .0548302 -0.51 0.612 -.1352938 .0796368\n", " 1 222 | -.0240829 .0548299 -0.44 0.660 -.1315475 .0833818\n", " 1 223 | -.036385 .0548305 -0.66 0.507 -.1438508 .0710808\n", " 1 224 | .000519 .0548305 0.01 0.992 -.1069467 .1079848\n", " 1 225 | .0601342 .0548304 1.10 0.273 -.0473313 .1675998\n", " 1 226 | .0108596 .0548329 0.20 0.843 -.0966108 .11833\n", " 1 227 | -.0089297 .0548325 -0.16 0.871 -.1163994 .09854\n", " 1 228 | .0167808 .0548328 0.31 0.760 -.0906894 .124251\n", " 1 229 | -.0151744 .0548311 -0.28 0.782 -.1226413 .0922925\n", " 1 230 | .0818701 .0548309 1.49 0.135 -.0255964 .1893367\n", " 1 231 | .0236034 .0548311 0.43 0.667 -.0838636 .1310704\n", " 1 232 | .0327841 .0548314 0.60 0.550 -.0746835 .1402517\n", " 1 233 | .0136188 .0548311 0.25 0.804 -.0938481 .1210858\n", " 1 234 | .0744949 .0548307 1.36 0.174 -.0329712 .1819611\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | .0692439 .0937078 0.74 0.460 -.1144201 .2529079\n", " 1 212 | .0315615 .0937087 0.34 0.736 -.1521042 .2152272\n", " 1 213 | -.0586093 .0937086 -0.63 0.532 -.2422747 .1250562\n", " 1 214 | -.0405052 .0937084 -0.43 0.666 -.2241704 .14316\n", " 1 215 | .3750102 .0937092 4.00 0.000 .1913436 .5586769\n", " 1 216 | -.0181434 .0937102 -0.19 0.846 -.2018121 .1655252\n", " 1 217 | -.2198184 .09371 -2.35 0.019 -.4034867 -.0361501\n", " 1 218 | -.3260997 .0937107 -3.48 0.001 -.5097692 -.1424302\n", " 1 219 | -.2873309 .093712 -3.07 0.002 -.471003 -.1036589\n", " 1 220 | -.2615014 .0937152 -2.79 0.005 -.4451798 -.0778231\n", " 1 221 | -.4102273 .0937094 -4.38 0.000 -.5938944 -.2265602\n", " 1 222 | -.3740662 .0937382 -3.99 0.000 -.5577897 -.1903428\n", " 1 223 | -.3126676 .0937386 -3.34 0.001 -.496392 -.1289433\n", " 1 224 | -.2914831 .0937384 -3.11 0.002 -.475207 -.1077591\n", " 1 225 | -.3826288 .0937383 -4.08 0.000 -.5663524 -.1989052\n", " 1 226 | -.5875321 .0937546 -6.27 0.000 -.7712877 -.4037765\n", " 1 227 | -.4963389 .0938012 -5.29 0.000 -.6801859 -.3124919\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 228 | -.4703037 .0937916 -5.01 0.000 -.654132 -.2864755\n", " 1 229 | -.3990841 .0937822 -4.26 0.000 -.5828938 -.2152744\n", " 1 230 | -.5516818 .09385 -5.88 0.000 -.7356245 -.3677392\n", " 1 231 | -.6504625 .093864 -6.93 0.000 -.8344325 -.4664924\n", " 1 232 | -.5295524 .0938624 -5.64 0.000 -.7135192 -.3455855\n", " 1 233 | -.6246465 .0938574 -6.66 0.000 -.8086036 -.4406894\n", " 1 234 | -.4359571 .0938561 -4.64 0.000 -.6199116 -.2520025\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .0088211 .0264888 0.33 0.739 -.043096 .0607383\n", " 1 212 | -.0291647 .0264891 -1.10 0.271 -.0810825 .022753\n", " 1 213 | -.0179442 .0264886 -0.68 0.498 -.0698609 .0339725\n", " 1 214 | -.0140784 .0264912 -0.53 0.595 -.0660003 .0378434\n", " 1 215 | .0103188 .0264901 0.39 0.697 -.0416007 .0622384\n", " 1 216 | .0035248 .02649 0.13 0.894 -.0483947 .0554443\n", " 1 217 | .0234876 .0264915 0.89 0.375 -.0284347 .0754099\n", " 1 218 | .0165042 .0264917 0.62 0.533 -.0354186 .0684269\n", " 1 219 | .0099538 .0265025 0.38 0.707 -.04199 .0618977\n", " 1 220 | -.0092747 .0265027 -0.35 0.726 -.0612189 .0426696\n", " 1 221 | -.0045252 .0264999 -0.17 0.864 -.0564641 .0474137\n", " 1 222 | -.0289212 .0264995 -1.09 0.275 -.0808592 .0230169\n", " 1 223 | .0392993 .026503 1.48 0.138 -.0126455 .0912441\n", " 1 224 | .0284564 .026503 1.07 0.283 -.0234885 .0804013\n", " 1 225 | .0022805 .0265042 0.09 0.931 -.0496668 .0542277\n", " 1 226 | -.0033315 .0265317 -0.13 0.900 -.0553326 .0486696\n", " 1 227 | .0234409 .0265548 0.88 0.377 -.0286056 .0754874\n", " 1 228 | -.0140671 .026569 -0.53 0.596 -.0661413 .0380072\n", " 1 229 | .0254057 .0265962 0.96 0.339 -.026722 .0775333\n", " 1 230 | .026133 .0265974 0.98 0.326 -.0259969 .0782629\n", " 1 231 | .0040916 .0266005 0.15 0.878 -.0480445 .0562276\n", " 1 232 | .0153814 .0266004 0.58 0.563 -.0367544 .0675172\n", " 1 233 | .0056984 .0265755 0.21 0.830 -.0463885 .0577854\n", " 1 234 | -.0079098 .0265723 -0.30 0.766 -.0599905 .044171\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " pedestriansinjured | .0006401 .0071392 0.09 0.929 -.0133526 .0146327\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | .4406544 .001216 .4382776 .4430441\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(1) = 0.01 Prob > chi2 = 0.9286\n", "\n", "splm_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "// Spatial Lagged Model pedestriansinjured\n", "global outcome pedestriansinjured\n", "spxtregress $outcome i.flag_LPIS $time_variant_var $time_var $time_trend, fe dvarlag(W)\n", "outreg2 using \"$filename\", word append ctitle(spxtregress fe $outcome)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "progress : 50% 100% \n", "\n", "Average impacts Number of obs = 68,400\n", "\n", "------------------------------------------------------------------------------\n", " | Delta-Method\n", " | dy/dx Std. Err. z P>|z| [95% Conf. Interval]\n", "-------------+----------------------------------------------------------------\n", "direct |\n", " flag_LPIS |\n", " 1 | -.0389064 .0089417 -4.35 0.000 -.0564319 -.021381\n", "-------------+----------------------------------------------------------------\n", "indirect |\n", " flag_LPIS |\n", " 1 | -.0000231 .0002578 -0.09 0.929 -.0005284 .0004822\n", "-------------+----------------------------------------------------------------\n", "total |\n", " flag_LPIS |\n", " 1 | -.0389295 .0089497 -4.35 0.000 -.0564707 -.0213884\n", "------------------------------------------------------------------------------\n" ] } ], "source": [ "estat impact flag_LPIS" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -9728.8655 \n", "Iteration 1: log likelihood = -9718.5737 \n", "Iteration 2: log likelihood = -9718.5734 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -9718.5734 \n", "Iteration 1: log likelihood = -9718.5734 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(101) = 682.36\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -9718.5734 Pseudo R2 = 0.0035\n", "\n", "-----------------------------------------------------------------------------------------------\n", " cyclistinjured | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "cyclistinjured |\n", " 1.flag_LPIS | -.0166249 .0056928 -2.92 0.003 -.0277826 -.0054671\n", " bike_route_tv | .0032725 .0077457 0.42 0.673 -.0119089 .0184538\n", " flag_street_improv | .0049408 .0141536 0.35 0.727 -.0227996 .0326813\n", " flag_left_turn | -.0280938 .0157885 -1.78 0.075 -.0590387 .002851\n", " |\n", " quarterly |\n", " 211 | -.0360871 .0091445 -3.95 0.000 -.05401 -.0181643\n", " 212 | -.0428867 .0091459 -4.69 0.000 -.0608123 -.0249611\n", " 213 | -.002762 .0091417 -0.30 0.763 -.0206794 .0151554\n", " 214 | .0105291 .009143 1.15 0.249 -.0073908 .0284489\n", " 215 | -.0173163 .0091448 -1.89 0.058 -.0352398 .0006071\n", " 216 | -.0469431 .0091496 -5.13 0.000 -.064876 -.0290102\n", " 217 | .0095068 .0091457 1.04 0.299 -.0084184 .027432\n", " 218 | .0268743 .0091475 2.94 0.003 .0089456 .044803\n", " 219 | -.0198102 .0091476 -2.17 0.030 -.0377392 -.0018812\n", " 220 | -.0552931 .009155 -6.04 0.000 -.0732367 -.0373496\n", " 221 | -.0015899 .0091506 -0.17 0.862 -.0195247 .0163449\n", " 222 | .0167037 .009159 1.82 0.068 -.0012475 .034655\n", " 223 | .0095183 .009161 1.04 0.299 -.0084369 .0274734\n", " 224 | -.0426232 .0091663 -4.65 0.000 -.0605889 -.0246576\n", " 225 | -.0111797 .0091623 -1.22 0.222 -.0291374 .006778\n", " 226 | -.0314541 .0091718 -3.43 0.001 -.0494305 -.0134778\n", " 227 | -.0456934 .0091765 -4.98 0.000 -.0636789 -.0277079\n", " 228 | -.0504781 .0091837 -5.50 0.000 -.0684777 -.0324784\n", " 229 | -.0143299 .0091847 -1.56 0.119 -.0323317 .0036718\n", " 230 | -.0129047 .0091865 -1.40 0.160 -.0309099 .0051004\n", " 231 | -.031365 .0091942 -3.41 0.001 -.0493853 -.0133448\n", " 232 | -.0399482 .0091983 -4.34 0.000 -.0579765 -.0219199\n", " 233 | -.01421 .0092218 -1.54 0.123 -.0322844 .0038643\n", " 234 | .0061884 .0092396 0.67 0.503 -.0119209 .0242977\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .0110542 .0349079 0.32 0.751 -.057364 .0794725\n", " 1 212 | .0221572 .0349079 0.63 0.526 -.046261 .0905754\n", " 1 213 | .0236273 .0349079 0.68 0.499 -.0447911 .0920456\n", " 1 214 | .0442721 .0349081 1.27 0.205 -.0241466 .1126908\n", " 1 215 | .0105355 .034908 0.30 0.763 -.0578828 .0789539\n", " 1 216 | .0036352 .034908 0.10 0.917 -.0647831 .0720536\n", " 1 217 | -.022552 .034908 -0.65 0.518 -.0909705 .0458664\n", " 1 218 | -.0303903 .0349084 -0.87 0.384 -.0988094 .0380288\n", " 1 219 | .0079712 .034908 0.23 0.819 -.0604473 .0763897\n", " 1 220 | .0415078 .0349079 1.19 0.234 -.0269104 .1099259\n", " 1 221 | .0399237 .0349079 1.14 0.253 -.0284946 .108342\n", " 1 222 | .0181288 .0349081 0.52 0.604 -.0502899 .0865474\n", " 1 223 | -.0205392 .0349087 -0.59 0.556 -.0889589 .0478805\n", " 1 224 | .0158756 .0349084 0.45 0.649 -.0525436 .0842948\n", " 1 225 | .0166098 .0349083 0.48 0.634 -.0518093 .0850289\n", " 1 226 | .0109257 .03491 0.31 0.754 -.0574966 .0793481\n", " 1 227 | .0206171 .0349095 0.59 0.555 -.0478042 .0890384\n", " 1 228 | .0309668 .0349098 0.89 0.375 -.0374551 .0993887\n", " 1 229 | .0421628 .0349089 1.21 0.227 -.0262573 .1105829\n", " 1 230 | .0508598 .034909 1.46 0.145 -.0175606 .1192802\n", " 1 231 | .0338148 .0349092 0.97 0.333 -.0346059 .1022355\n", " 1 232 | .0055969 .0349089 0.16 0.873 -.0628232 .0740171\n", " 1 233 | .0323838 .0349089 0.93 0.354 -.0360363 .100804\n", " 1 234 | .0190372 .0349086 0.55 0.586 -.0493824 .0874569\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.2169715 .0596603 -3.64 0.000 -.3339035 -.1000395\n", " 1 212 | -.0461183 .0596603 -0.77 0.440 -.1630503 .0708137\n", " 1 213 | -.1369321 .0596615 -2.30 0.022 -.2538665 -.0199978\n", " 1 214 | .0732003 .0596607 1.23 0.220 -.0437326 .1901331\n", " 1 215 | -.1393858 .0596611 -2.34 0.019 -.2563194 -.0224522\n", " 1 216 | -.1544507 .0596613 -2.59 0.010 -.2713847 -.0375167\n", " 1 217 | .0978163 .0596617 1.64 0.101 -.0191185 .214751\n", " 1 218 | .0482485 .0596618 0.81 0.419 -.0686864 .1651834\n", " 1 219 | -.0898942 .0596628 -1.51 0.132 -.2068312 .0270428\n", " 1 220 | -.1608285 .0596628 -2.70 0.007 -.2777654 -.0438916\n", " 1 221 | -.1561498 .059661 -2.62 0.009 -.2730832 -.0392164\n", " 1 222 | .0529695 .0596786 0.89 0.375 -.0639985 .1699375\n", " 1 223 | -.0008465 .0596794 -0.01 0.989 -.1178161 .116123\n", " 1 224 | -.1316326 .0596783 -2.21 0.027 -.2485999 -.0146653\n", " 1 225 | -.046459 .0596779 -0.78 0.436 -.1634255 .0705075\n", " 1 226 | -.0750748 .0596873 -1.26 0.208 -.1920598 .0419102\n", " 1 227 | -.1330616 .0597187 -2.23 0.026 -.250108 -.0160151\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 228 | -.1882213 .0597134 -3.15 0.002 -.3052575 -.0711851\n", " 1 229 | -.0739517 .0597075 -1.24 0.216 -.1909762 .0430727\n", " 1 230 | -.1595165 .0597482 -2.67 0.008 -.2766209 -.0424121\n", " 1 231 | -.1388065 .0597583 -2.32 0.020 -.2559307 -.0216823\n", " 1 232 | -.1655472 .0597577 -2.77 0.006 -.2826701 -.0484243\n", " 1 233 | -.0890723 .0597534 -1.49 0.136 -.2061868 .0280422\n", " 1 234 | -.062679 .059755 -1.05 0.294 -.1797967 .0544386\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .0227077 .0168646 1.35 0.178 -.0103463 .0557617\n", " 1 212 | .0022226 .0168644 0.13 0.895 -.0308311 .0352763\n", " 1 213 | .0095357 .0168643 0.57 0.572 -.0235176 .0425891\n", " 1 214 | .0054346 .0168659 0.32 0.747 -.0276219 .0384911\n", " 1 215 | .0057881 .0168653 0.34 0.731 -.0272672 .0388435\n", " 1 216 | .0085337 .0168653 0.51 0.613 -.0245217 .041589\n", " 1 217 | .0119231 .0168664 0.71 0.480 -.0211345 .0449807\n", " 1 218 | -.0189629 .0168664 -1.12 0.261 -.0520205 .0140947\n", " 1 219 | -.0018013 .0168732 -0.11 0.915 -.0348721 .0312695\n", " 1 220 | -.0130468 .0168733 -0.77 0.439 -.0461178 .0200242\n", " 1 221 | .0026555 .0168715 0.16 0.875 -.030412 .0357231\n", " 1 222 | .0033236 .016871 0.20 0.844 -.029743 .0363901\n", " 1 223 | -.0106455 .0168734 -0.63 0.528 -.0437167 .0224256\n", " 1 224 | .0059371 .0168735 0.35 0.725 -.0271343 .0390086\n", " 1 225 | -.0096282 .0168743 -0.57 0.568 -.0427012 .0234447\n", " 1 226 | .006959 .0168917 0.41 0.680 -.0261482 .0400663\n", " 1 227 | .0260375 .0169066 1.54 0.124 -.0070987 .0591738\n", " 1 228 | .0148636 .0169157 0.88 0.380 -.0182906 .0480178\n", " 1 229 | .0184043 .0169329 1.09 0.277 -.0147836 .0515923\n", " 1 230 | .0133846 .0169334 0.79 0.429 -.0198043 .0465735\n", " 1 231 | .0114624 .0169356 0.68 0.499 -.0217308 .0446556\n", " 1 232 | -.0066474 .0169355 -0.39 0.695 -.0398403 .0265455\n", " 1 233 | .0098359 .0169196 0.58 0.561 -.023326 .0429977\n", " 1 234 | .0076153 .0169175 0.45 0.653 -.0255425 .040773\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " cyclistinjured | .0320246 .0070454 4.55 0.000 .0182159 .0458332\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | .280548 .0007742 .2790346 .2820695\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(1) = 20.66 Prob > chi2 = 0.0000\n", "\n", "splm_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "// Spatial Lagged Model cyclistinjured\n", "global outcome cyclistinjured\n", "spxtregress $outcome i.flag_LPIS $time_variant_var $time_var $time_trend, fe dvarlag(W)\n", "outreg2 using \"$filename\", word append ctitle(spxtregress fe $outcome)" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "progress : 50% 100% \n", "\n", "Average impacts Number of obs = 68,400\n", "\n", "------------------------------------------------------------------------------\n", " | Delta-Method\n", " | dy/dx Std. Err. z P>|z| [95% Conf. Interval]\n", "-------------+----------------------------------------------------------------\n", "direct |\n", " flag_LPIS |\n", " 1 | -.0166274 .0056937 -2.92 0.003 -.0277868 -.005468\n", "-------------+----------------------------------------------------------------\n", "indirect |\n", " flag_LPIS |\n", " 1 | -.0005068 .000208 -2.44 0.015 -.0009144 -.0000992\n", "-------------+----------------------------------------------------------------\n", "total |\n", " flag_LPIS |\n", " 1 | -.0171342 .0058684 -2.92 0.004 -.0286361 -.0056323\n", "------------------------------------------------------------------------------\n" ] } ], "source": [ "estat impact flag_LPIS" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -67574.835 \n", "Iteration 1: log likelihood = -67573.072 \n", "Iteration 2: log likelihood = -67573.072 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -67573.072 \n", "Iteration 1: log likelihood = -67573.072 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(101) = 407.21\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -6.757e+04 Pseudo R2 = 0.0001\n", "\n", "-----------------------------------------------------------------------------------------------\n", " motoristinjured | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "motoristinjured |\n", " 1.flag_LPIS | -.0089702 .0137404 -0.65 0.514 -.0359009 .0179606\n", " bike_route_tv | .0359249 .0186952 1.92 0.055 -.0007171 .0725668\n", " flag_street_improv | -.029545 .0341614 -0.86 0.387 -.0965 .0374101\n", " flag_left_turn | -.0961304 .0381078 -2.52 0.012 -.1708204 -.0214404\n", " |\n", " quarterly |\n", " 211 | -.0573583 .0220667 -2.60 0.009 -.1006083 -.0141084\n", " 212 | -.0890739 .0220699 -4.04 0.000 -.1323301 -.0458176\n", " 213 | -.046686 .0220655 -2.12 0.034 -.0899335 -.0034384\n", " 214 | -.0369663 .0220664 -1.68 0.094 -.0802156 .006283\n", " 215 | -.0795873 .0220735 -3.61 0.000 -.1228505 -.0363241\n", " 216 | -.1186153 .0220829 -5.37 0.000 -.161897 -.0753335\n", " 217 | -.0706966 .0220784 -3.20 0.001 -.1139694 -.0274237\n", " 218 | -.0726908 .0220799 -3.29 0.001 -.1159665 -.029415\n", " 219 | -.1074137 .0220849 -4.86 0.000 -.1506993 -.0641281\n", " 220 | -.1315519 .0220936 -5.95 0.000 -.1748546 -.0882492\n", " 221 | -.0964786 .0220933 -4.37 0.000 -.1397807 -.0531765\n", " 222 | -.0855645 .0221105 -3.87 0.000 -.1289004 -.0422286\n", " 223 | -.1051435 .0221193 -4.75 0.000 -.1484966 -.0617904\n", " 224 | -.1146001 .0221228 -5.18 0.000 -.1579601 -.0712402\n", " 225 | -.1248069 .0221263 -5.64 0.000 -.1681736 -.0814401\n", " 226 | -.1639219 .0221565 -7.40 0.000 -.2073479 -.1204959\n", " 227 | -.1501255 .0221575 -6.78 0.000 -.1935533 -.1066976\n", " 228 | -.1268572 .0221643 -5.72 0.000 -.1702985 -.0834158\n", " 229 | -.0891028 .0221743 -4.02 0.000 -.1325636 -.045642\n", " 230 | -.1035554 .0221836 -4.67 0.000 -.1470346 -.0600763\n", " 231 | -.1182552 .0221997 -5.33 0.000 -.1617659 -.0747446\n", " 232 | -.132491 .0222065 -5.97 0.000 -.176015 -.088967\n", " 233 | -.0829937 .0222618 -3.73 0.000 -.126626 -.0393614\n", " 234 | -.0773852 .0223076 -3.47 0.001 -.1211072 -.0336632\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .0229818 .0842548 0.27 0.785 -.1421545 .1881182\n", " 1 212 | .0231484 .084255 0.27 0.784 -.1419883 .1882851\n", " 1 213 | .0511107 .084255 0.61 0.544 -.114026 .2162474\n", " 1 214 | .0507112 .084255 0.60 0.547 -.1144256 .215848\n", " 1 215 | .0627521 .084255 0.74 0.456 -.1023846 .2278889\n", " 1 216 | -.0319452 .084255 -0.38 0.705 -.1970819 .1331915\n", " 1 217 | -.0739506 .0842555 -0.88 0.380 -.2390884 .0911873\n", " 1 218 | -.0025395 .0842549 -0.03 0.976 -.167676 .162597\n", " 1 219 | .1570837 .0842547 1.86 0.062 -.0080525 .3222199\n", " 1 220 | -.0243028 .0842547 -0.29 0.773 -.189439 .1408333\n", " 1 221 | .0864695 .0842549 1.03 0.305 -.0786671 .2516061\n", " 1 222 | -.0019083 .0842553 -0.02 0.982 -.1670457 .1632292\n", " 1 223 | -.0314582 .0842559 -0.37 0.709 -.1965968 .1336804\n", " 1 224 | .0604551 .0842564 0.72 0.473 -.1046843 .2255946\n", " 1 225 | .0798553 .0842559 0.95 0.343 -.0852833 .2449938\n", " 1 226 | -.0024508 .0842599 -0.03 0.977 -.1675972 .1626956\n", " 1 227 | -.025202 .0842587 -0.30 0.765 -.190346 .139942\n", " 1 228 | -.0415845 .0842592 -0.49 0.622 -.2067294 .1235605\n", " 1 229 | -.0316908 .0842582 -0.38 0.707 -.1968339 .1334523\n", " 1 230 | -.0547945 .0842571 -0.65 0.515 -.2199353 .1103463\n", " 1 231 | .0862341 .0842573 1.02 0.306 -.0789073 .2513755\n", " 1 232 | .1158659 .0842572 1.38 0.169 -.0492752 .2810071\n", " 1 233 | .0378177 .084257 0.45 0.654 -.127323 .2029584\n", " 1 234 | .0813363 .0842573 0.97 0.334 -.0838049 .2464775\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.4595643 .1439977 -3.19 0.001 -.7417946 -.1773339\n", " 1 212 | -.3929388 .1439977 -2.73 0.006 -.6751692 -.1107084\n", " 1 213 | .1689508 .1439979 1.17 0.241 -.1132799 .4511814\n", " 1 214 | -.1715436 .1439986 -1.19 0.234 -.4537758 .1106885\n", " 1 215 | -.0679209 .1439996 -0.47 0.637 -.3501549 .214313\n", " 1 216 | -.3636811 .1440009 -2.53 0.012 -.6459176 -.0814446\n", " 1 217 | -.286964 .1440012 -1.99 0.046 -.5692011 -.0047268\n", " 1 218 | -.4550736 .1440016 -3.16 0.002 -.7373116 -.1728357\n", " 1 219 | -.4109444 .1440052 -2.85 0.004 -.6931895 -.1286994\n", " 1 220 | -.7990524 .1440045 -5.55 0.000 -1.081296 -.5168088\n", " 1 221 | -.1957728 .1439996 -1.36 0.174 -.4780069 .0864612\n", " 1 222 | -.1883312 .1440418 -1.31 0.191 -.4706478 .0939855\n", " 1 223 | -.2565087 .1440429 -1.78 0.075 -.5388277 .0258102\n", " 1 224 | -.2770973 .1440414 -1.92 0.054 -.5594133 .0052187\n", " 1 225 | -.3880546 .1440401 -2.69 0.007 -.6703681 -.1057412\n", " 1 226 | -.6455891 .144063 -4.48 0.000 -.9279475 -.3632308\n", " 1 227 | -.5725377 .1441374 -3.97 0.000 -.8550418 -.2900336\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 228 | -.3708984 .1441244 -2.57 0.010 -.653377 -.0884198\n", " 1 229 | .0285202 .1441152 0.20 0.843 -.2539405 .3109808\n", " 1 230 | -.5385657 .1442098 -3.73 0.000 -.8212117 -.2559198\n", " 1 231 | -.4598624 .1442346 -3.19 0.001 -.742557 -.1771677\n", " 1 232 | -.6555685 .144233 -4.55 0.000 -.9382599 -.3728771\n", " 1 233 | -.4518502 .1442232 -3.13 0.002 -.7345225 -.1691779\n", " 1 234 | -.6793271 .1442246 -4.71 0.000 -.962002 -.3966522\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .0144445 .0407046 0.35 0.723 -.065335 .0942241\n", " 1 212 | .0407979 .0407043 1.00 0.316 -.0389811 .120577\n", " 1 213 | .0239164 .0407042 0.59 0.557 -.0558623 .1036951\n", " 1 214 | .0760141 .0407088 1.87 0.062 -.0037736 .1558018\n", " 1 215 | .0324318 .0407064 0.80 0.426 -.0473513 .1122148\n", " 1 216 | .0514811 .0407066 1.26 0.206 -.0283023 .1312645\n", " 1 217 | .0747813 .0407101 1.84 0.066 -.005009 .1545715\n", " 1 218 | .0480837 .0407091 1.18 0.238 -.0317047 .127872\n", " 1 219 | .0660026 .0407265 1.62 0.105 -.01382 .1458251\n", " 1 220 | .0618173 .040726 1.52 0.129 -.0180041 .1416388\n", " 1 221 | .0569017 .0407217 1.40 0.162 -.0229115 .1367148\n", " 1 222 | .0233072 .0407203 0.57 0.567 -.0565032 .1031176\n", " 1 223 | .0876218 .0407264 2.15 0.031 .0077996 .1674441\n", " 1 224 | .0384409 .0407263 0.94 0.345 -.0413812 .1182629\n", " 1 225 | .0618867 .0407287 1.52 0.129 -.0179402 .1417135\n", " 1 226 | .0405181 .0407704 0.99 0.320 -.0393904 .1204266\n", " 1 227 | .0199502 .0408049 0.49 0.625 -.060026 .0999265\n", " 1 228 | .0130042 .0408277 0.32 0.750 -.0670166 .093025\n", " 1 229 | .0254153 .0408693 0.62 0.534 -.0546872 .1055177\n", " 1 230 | .0607255 .0408715 1.49 0.137 -.0193812 .1408323\n", " 1 231 | .0583743 .0408778 1.43 0.153 -.0217447 .1384933\n", " 1 232 | .0227598 .0408759 0.56 0.578 -.0573556 .1028751\n", " 1 233 | .0092282 .0408378 0.23 0.821 -.0708124 .0892688\n", " 1 234 | .0023886 .0408327 0.06 0.953 -.077642 .0824192\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " motoristinjured | .0133925 .007125 1.88 0.060 -.0005723 .0273572\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | .6771391 .0018686 .6734867 .6808113\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(1) = 3.53 Prob > chi2 = 0.0602\n", "\n", "splm_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "// Spatial Lagged Model motoristinjured\n", "global outcome motoristinjured\n", "spxtregress $outcome i.flag_LPIS $time_variant_var $time_var $time_trend, fe dvarlag(W)\n", "outreg2 using \"$filename\", word append ctitle(spxtregress fe $outcome)" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "progress : 50% 100% \n", "\n", "Average impacts Number of obs = 68,400\n", "\n", "------------------------------------------------------------------------------\n", " | Delta-Method\n", " | dy/dx Std. Err. z P>|z| [95% Conf. Interval]\n", "-------------+----------------------------------------------------------------\n", "direct |\n", " flag_LPIS |\n", " 1 | -.0089704 .0137408 -0.65 0.514 -.0359019 .0179611\n", "-------------+----------------------------------------------------------------\n", "indirect |\n", " flag_LPIS |\n", " 1 | -.0001126 .0001826 -0.62 0.537 -.0004705 .0002453\n", "-------------+----------------------------------------------------------------\n", "total |\n", " flag_LPIS |\n", " 1 | -.009083 .0139132 -0.65 0.514 -.0363524 .0181864\n", "------------------------------------------------------------------------------\n" ] } ], "source": [ "estat impact flag_LPIS" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Spatial Error Model" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [], "source": [ "global filename spem_qt_results_xt" ] }, { "cell_type": "code", "execution_count": 58, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -133985.86 \n", "Iteration 1: log likelihood = -133984.21 \n", "Iteration 2: log likelihood = -133984.21 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -133984.21 \n", "Iteration 1: log likelihood = -133984.21 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(100) = 4704.37\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -1.340e+05 Pseudo R2 = 0.0039\n", "\n", "-----------------------------------------------------------------------------------------------\n", " collision_count | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "collision_count |\n", " 1.flag_LPIS | -.1294168 .0387183 -3.34 0.001 -.2053034 -.0535302\n", " bike_route_tv | .1407518 .0537343 2.62 0.009 .0354345 .2460691\n", " flag_street_improv | -.4711026 .0953038 -4.94 0.000 -.6578947 -.2843105\n", " flag_left_turn | -.9038746 .1045866 -8.64 0.000 -1.108861 -.6988886\n", " |\n", " quarterly |\n", " 211 | -.2673721 .0716621 -3.73 0.000 -.4078272 -.126917\n", " 212 | -.4373628 .0716613 -6.10 0.000 -.5778164 -.2969092\n", " 213 | .0420336 .0716643 0.59 0.558 -.0984259 .182493\n", " 214 | -.0531105 .0716656 -0.74 0.459 -.1935726 .0873515\n", " 215 | -.0845811 .0716743 -1.18 0.238 -.2250602 .055898\n", " 216 | -.4651976 .0716742 -6.49 0.000 -.6056764 -.3247188\n", " 217 | .0166714 .071685 0.23 0.816 -.1238285 .1571714\n", " 218 | -.0400952 .0716857 -0.56 0.576 -.1805967 .1004063\n", " 219 | -.0879663 .0716909 -1.23 0.220 -.228478 .0525453\n", " 220 | -.4865736 .0716943 -6.79 0.000 -.6270918 -.3460554\n", " 221 | .042314 .0717178 0.59 0.555 -.0982504 .1828783\n", " 222 | .0337994 .0717607 0.47 0.638 -.106849 .1744478\n", " 223 | .082293 .0717777 1.15 0.252 -.0583888 .2229748\n", " 224 | -.3387349 .0717814 -4.72 0.000 -.479424 -.1980459\n", " 225 | -.6797072 .0717861 -9.47 0.000 -.8204054 -.539009\n", " 226 | -1.302355 .071837 -18.13 0.000 -1.443153 -1.161557\n", " 227 | -1.320706 .0718453 -18.38 0.000 -1.46152 -1.179892\n", " 228 | -1.102278 .0718793 -15.34 0.000 -1.243159 -.9613976\n", " 229 | -.6314304 .0719383 -8.78 0.000 -.7724269 -.4904339\n", " 230 | -1.008659 .0719523 -14.02 0.000 -1.149683 -.867635\n", " 231 | -.9149774 .071978 -12.71 0.000 -1.056052 -.773903\n", " 232 | -.934863 .0719906 -12.99 0.000 -1.075962 -.7937639\n", " 233 | -.6500721 .0721568 -9.01 0.000 -.7914969 -.5086473\n", " 234 | -.8401344 .0722684 -11.63 0.000 -.981778 -.6984909\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .3499512 .2328839 1.50 0.133 -.1064929 .8063954\n", " 1 212 | .337098 .232884 1.45 0.148 -.1193463 .7935422\n", " 1 213 | .2552392 .2328856 1.10 0.273 -.2012081 .7116865\n", " 1 214 | .1119862 .232886 0.48 0.631 -.344462 .5684344\n", " 1 215 | .0070214 .2328854 0.03 0.976 -.4494257 .4634685\n", " 1 216 | .1540055 .2328844 0.66 0.508 -.3024396 .6104506\n", " 1 217 | .2290229 .2328872 0.98 0.325 -.2274276 .6854733\n", " 1 218 | .0679914 .2328843 0.29 0.770 -.3884534 .5244362\n", " 1 219 | .5515511 .2328907 2.37 0.018 .0950937 1.008008\n", " 1 220 | .4616977 .2328883 1.98 0.047 .005245 .9181504\n", " 1 221 | .0938358 .2328915 0.40 0.687 -.3626231 .5502948\n", " 1 222 | .1940827 .2328887 0.83 0.405 -.2623707 .6505361\n", " 1 223 | .2101705 .2328908 0.90 0.367 -.2462872 .6666281\n", " 1 224 | .102951 .2328888 0.44 0.658 -.3535025 .5594046\n", " 1 225 | .4768202 .2328909 2.05 0.041 .0203624 .933278\n", " 1 226 | .2504184 .2328998 1.08 0.282 -.2060569 .7068937\n", " 1 227 | .2961787 .2328966 1.27 0.203 -.1602901 .7526476\n", " 1 228 | .2887736 .2329003 1.24 0.215 -.1677026 .7452499\n", " 1 229 | .5150898 .2328939 2.21 0.027 .0586261 .9715534\n", " 1 230 | .4385619 .2328959 1.88 0.060 -.0179056 .8950294\n", " 1 231 | .5190943 .2328987 2.23 0.026 .0626214 .9755673\n", " 1 232 | .5188351 .2328919 2.23 0.026 .0623753 .9752949\n", " 1 233 | .2604016 .2328917 1.12 0.264 -.1960578 .716861\n", " 1 234 | .5047731 .2328966 2.17 0.030 .0483042 .961242\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.810824 .3952036 -2.05 0.040 -1.585409 -.0362392\n", " 1 212 | -1.417468 .3952014 -3.59 0.000 -2.192049 -.6428878\n", " 1 213 | -.7785217 .3951994 -1.97 0.049 -1.553098 -.0039451\n", " 1 214 | -.2402559 .3952036 -0.61 0.543 -1.014841 .534329\n", " 1 215 | .1005427 .3952041 0.25 0.799 -.6740432 .8751285\n", " 1 216 | -1.82542 .395209 -4.62 0.000 -2.600016 -1.050825\n", " 1 217 | -1.094598 .3952083 -2.77 0.006 -1.869192 -.3200041\n", " 1 218 | -.8330192 .3952125 -2.11 0.035 -1.607621 -.0584169\n", " 1 219 | -1.510197 .3952281 -3.82 0.000 -2.28483 -.7355643\n", " 1 220 | -2.445791 .3952364 -6.19 0.000 -3.22044 -1.671142\n", " 1 221 | -1.48635 .3952053 -3.76 0.000 -2.260938 -.7117617\n", " 1 222 | .4604002 .395328 1.16 0.244 -.3144285 1.235229\n", " 1 223 | -1.229855 .3953284 -3.11 0.002 -2.004684 -.4550258\n", " 1 224 | -1.515602 .3953326 -3.83 0.000 -2.29044 -.7407649\n", " 1 225 | -2.507237 .3953511 -6.34 0.000 -3.282111 -1.732363\n", " 1 226 | -3.746962 .3954467 -9.48 0.000 -4.522024 -2.971901\n", " 1 227 | -4.28631 .3956422 -10.83 0.000 -5.061754 -3.510865\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 228 | -3.717741 .3956257 -9.40 0.000 -4.493153 -2.942329\n", " 1 229 | -3.741524 .3955266 -9.46 0.000 -4.516742 -2.966307\n", " 1 230 | -3.904754 .3958448 -9.86 0.000 -4.680595 -3.128912\n", " 1 231 | -4.177648 .395907 -10.55 0.000 -4.953612 -3.401685\n", " 1 232 | -3.570456 .3959188 -9.02 0.000 -4.346443 -2.794469\n", " 1 233 | -3.519881 .3958583 -8.89 0.000 -4.295749 -2.744013\n", " 1 234 | -3.84415 .3958323 -9.71 0.000 -4.619967 -3.068333\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .2240542 .1285535 1.74 0.081 -.027906 .4760145\n", " 1 212 | .0002724 .1285479 0.00 0.998 -.2516769 .2522218\n", " 1 213 | .0954619 .1285471 0.74 0.458 -.1564857 .3474096\n", " 1 214 | .1601147 .1285598 1.25 0.213 -.0918578 .4120872\n", " 1 215 | .2541637 .1285559 1.98 0.048 .0021989 .5061286\n", " 1 216 | .1847838 .1285552 1.44 0.151 -.0671797 .4367473\n", " 1 217 | .1657745 .128568 1.29 0.197 -.0862141 .417763\n", " 1 218 | -.0631382 .1285613 -0.49 0.623 -.3151137 .1888374\n", " 1 219 | .1139398 .1286133 0.89 0.376 -.1381376 .3660171\n", " 1 220 | -.0407934 .1286172 -0.32 0.751 -.2928785 .2112917\n", " 1 221 | .2208709 .1285965 1.72 0.086 -.0311736 .4729154\n", " 1 222 | .127847 .1285924 0.99 0.320 -.1241894 .3798834\n", " 1 223 | .2633668 .1286075 2.05 0.041 .0113008 .5154329\n", " 1 224 | .0074932 .1286083 0.06 0.954 -.2445744 .2595608\n", " 1 225 | -.3492169 .1286137 -2.72 0.007 -.601295 -.0971387\n", " 1 226 | -.2425033 .128706 -1.88 0.060 -.4947624 .0097557\n", " 1 227 | -.1856339 .1288004 -1.44 0.150 -.438078 .0668103\n", " 1 228 | -.1242051 .1288534 -0.96 0.335 -.3767531 .1283428\n", " 1 229 | -.0653259 .128931 -0.51 0.612 -.318026 .1873743\n", " 1 230 | .0016791 .1289385 0.01 0.990 -.2510356 .2543939\n", " 1 231 | -.0635057 .1289521 -0.49 0.622 -.3162471 .1892358\n", " 1 232 | -.3627133 .1289417 -2.81 0.005 -.6154343 -.1099923\n", " 1 233 | -.1463003 .1288668 -1.14 0.256 -.3988746 .106274\n", " 1 234 | -.3394852 .1288525 -2.63 0.008 -.5920315 -.086939\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " e.collision_count | .1884038 .0063947 29.46 0.000 .1758704 .2009372\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | 1.856616 .0051356 1.846578 1.866709\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(1) = 868.04 Prob > chi2 = 0.0000\n", "\n", "spem_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "// Spatial Error Model collision_count\n", "global outcome collision_count\n", "spxtregress $outcome i.flag_LPIS $time_variant_var $time_var $time_trend, fe errorlag(W)\n", "outreg2 using \"$filename\", word replace ctitle(spxtregress fe $outcome) title(Spatial Error Model)" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -83705.847 \n", "Iteration 1: log likelihood = -83703.625 \n", "Iteration 2: log likelihood = -83703.625 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -83703.625 \n", "Iteration 1: log likelihood = -83703.625 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(100) = 1030.31\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -8.370e+04 Pseudo R2 = 0.0008\n", "\n", "-----------------------------------------------------------------------------------------------\n", " personsinjured | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "personsinjured |\n", " 1.flag_LPIS | -.0644151 .0176081 -3.66 0.000 -.0989264 -.0299038\n", " bike_route_tv | .0257167 .0239981 1.07 0.284 -.0213186 .0727521\n", " flag_street_improv | -.0712783 .0437444 -1.63 0.103 -.1570157 .014459\n", " flag_left_turn | -.2893237 .0487362 -5.94 0.000 -.3848449 -.1938026\n", " |\n", " quarterly |\n", " 211 | -.0818592 .028562 -2.87 0.004 -.1378397 -.0258787\n", " 212 | -.1140973 .0285626 -3.99 0.000 -.170079 -.0581156\n", " 213 | -.029118 .0285631 -1.02 0.308 -.0851005 .0268646\n", " 214 | -.0252689 .0285649 -0.88 0.376 -.0812551 .0307172\n", " 215 | -.0786186 .02857 -2.75 0.006 -.1346147 -.0226225\n", " 216 | -.1502113 .0285696 -5.26 0.000 -.2062067 -.0942159\n", " 217 | -.0722123 .0285744 -2.53 0.011 -.1282171 -.0162076\n", " 218 | -.0816787 .0285764 -2.86 0.004 -.1376873 -.02567\n", " 219 | -.1131949 .0285774 -3.96 0.000 -.1692056 -.0571842\n", " 220 | -.2145317 .0285784 -7.51 0.000 -.2705443 -.1585191\n", " 221 | -.1282402 .0285903 -4.49 0.000 -.1842762 -.0722042\n", " 222 | -.0925481 .0286134 -3.23 0.001 -.1486292 -.0364669\n", " 223 | -.0926406 .0286221 -3.24 0.001 -.1487388 -.0365423\n", " 224 | -.1633157 .0286236 -5.71 0.000 -.2194169 -.1072145\n", " 225 | -.2010974 .0286249 -7.03 0.000 -.257201 -.1449937\n", " 226 | -.2827573 .0286476 -9.87 0.000 -.3389055 -.2266091\n", " 227 | -.2793258 .0286523 -9.75 0.000 -.3354833 -.2231682\n", " 228 | -.2299002 .0286695 -8.02 0.000 -.2860913 -.1737091\n", " 229 | -.139215 .0286937 -4.85 0.000 -.1954535 -.0829765\n", " 230 | -.1932757 .0286992 -6.73 0.000 -.2495252 -.1370262\n", " 231 | -.1799292 .0287155 -6.27 0.000 -.2362107 -.1236478\n", " 232 | -.1947384 .0287216 -6.78 0.000 -.2510318 -.1384451\n", " 233 | -.1511494 .028807 -5.25 0.000 -.20761 -.0946888\n", " 234 | -.1311498 .0288635 -4.54 0.000 -.1877211 -.0745784\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .0974288 .1078097 0.90 0.366 -.1138744 .3087319\n", " 1 212 | .1227632 .1078099 1.14 0.255 -.0885404 .3340668\n", " 1 213 | .0765732 .1078105 0.71 0.478 -.1347314 .2878779\n", " 1 214 | .0997691 .1078103 0.93 0.355 -.1115353 .3110735\n", " 1 215 | .1191269 .1078103 1.10 0.269 -.0921775 .3304312\n", " 1 216 | -.0249504 .10781 -0.23 0.817 -.2362541 .1863533\n", " 1 217 | -.0736911 .1078147 -0.68 0.494 -.285004 .1376218\n", " 1 218 | .0036443 .1078098 0.03 0.973 -.2076592 .2149477\n", " 1 219 | .2255113 .1078106 2.09 0.036 .0142064 .4368162\n", " 1 220 | .0652687 .1078099 0.61 0.545 -.1460348 .2765723\n", " 1 221 | .0995483 .1078107 0.92 0.356 -.1117567 .3108534\n", " 1 222 | -.0080001 .1078108 -0.07 0.941 -.2193054 .2033051\n", " 1 223 | -.0880835 .1078116 -0.82 0.414 -.2993903 .1232234\n", " 1 224 | .0662453 .1078117 0.61 0.539 -.1450618 .2775524\n", " 1 225 | .1516961 .1078114 1.41 0.159 -.0596103 .3630024\n", " 1 226 | .0271292 .1078163 0.25 0.801 -.1841868 .2384453\n", " 1 227 | .0026281 .1078147 0.02 0.981 -.2086848 .213941\n", " 1 228 | .0153123 .1078157 0.14 0.887 -.1960025 .2266271\n", " 1 229 | -.0056001 .1078165 -0.05 0.959 -.2169166 .2057163\n", " 1 230 | .0797553 .1078141 0.74 0.459 -.1315564 .291067\n", " 1 231 | .1440652 .1078139 1.34 0.181 -.0672462 .3553765\n", " 1 232 | .1551572 .1078145 1.44 0.150 -.0561554 .3664698\n", " 1 233 | .0817475 .107813 0.76 0.448 -.129562 .293057\n", " 1 234 | .1802302 .1078134 1.67 0.095 -.0310803 .3915406\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.607943 .1841485 -3.30 0.001 -.9688675 -.2470185\n", " 1 212 | -.4059861 .1841506 -2.20 0.027 -.7669146 -.0450576\n", " 1 213 | -.0280808 .1841545 -0.15 0.879 -.389017 .3328553\n", " 1 214 | -.1385103 .1841488 -0.75 0.452 -.4994353 .2224147\n", " 1 215 | .1682274 .1841508 0.91 0.361 -.1927016 .5291563\n", " 1 216 | -.5344563 .1841548 -2.90 0.004 -.8953931 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.1844537 -6.76 0.000 -1.608617 -.8855714\n", " 1 232 | -1.350006 .1844509 -7.32 0.000 -1.711523 -.988489\n", " 1 233 | -1.142221 .1844469 -6.19 0.000 -1.503731 -.7807121\n", " 1 234 | -1.156946 .1844394 -6.27 0.000 -1.51844 -.7954509\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .0469488 .052605 0.89 0.372 -.0561551 .1500527\n", " 1 212 | .0147038 .0526042 0.28 0.780 -.0883986 .1178062\n", " 1 213 | .0158899 .0526035 0.30 0.763 -.0872111 .1189909\n", " 1 214 | .0687254 .0526099 1.31 0.191 -.0343882 .171839\n", " 1 215 | .0494993 .0526071 0.94 0.347 -.0536086 .1526073\n", " 1 216 | .0644694 .0526066 1.23 0.220 -.0386375 .1675764\n", " 1 217 | .1110541 .052609 2.11 0.035 .0079424 .2141659\n", " 1 218 | .046441 .0526108 0.88 0.377 -.0566742 .1495563\n", " 1 219 | .0752526 .0526307 1.43 0.153 -.0279016 .1784068\n", " 1 220 | .040098 .0526312 0.76 0.446 -.0630572 .1432533\n", " 1 221 | .0560576 .052627 1.07 0.287 -.0470894 .1592046\n", " 1 222 | -.0018706 .052624 -0.04 0.972 -.1050118 .1012706\n", " 1 223 | .1175231 .052633 2.23 0.026 .0143644 .2206818\n", " 1 224 | .0715743 .0526342 1.36 0.174 -.0315868 .1747354\n", " 1 225 | .0455414 .0526339 0.87 0.387 -.0576191 .1487019\n", " 1 226 | .0324535 .0526872 0.62 0.538 -.0708115 .1357185\n", " 1 227 | .0546103 .0527314 1.04 0.300 -.0487414 .157962\n", " 1 228 | .004594 .0527601 0.09 0.931 -.0988139 .1080019\n", " 1 229 | .0701467 .052812 1.33 0.184 -.033363 .1736563\n", " 1 230 | .0966255 .052814 1.83 0.067 -.0068879 .200139\n", " 1 231 | .0749615 .0528217 1.42 0.156 -.028567 .17849\n", " 1 232 | .0307339 .0528206 0.58 0.561 -.0727927 .1342605\n", " 1 233 | .0277217 .0527728 0.53 0.599 -.0757111 .1311545\n", " 1 234 | -.0003138 .0527661 -0.01 0.995 -.1037335 .103106\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " e.personsinjured | .0150479 .0071318 2.11 0.035 .0010698 .0290261\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | .8656894 .0023889 .8610199 .8703841\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(1) = 4.45 Prob > chi2 = 0.0349\n", "\n", "spem_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "// Spatial Error Model collision_count\n", "global outcome personsinjured\n", "spxtregress $outcome i.flag_LPIS $time_variant_var $time_var $time_trend, fe errorlag(W)\n", "outreg2 using \"$filename\", word append ctitle(spxtregress fe $outcome) " ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -39361.9 \n", "Iteration 1: log likelihood = -39361.88 \n", "Iteration 2: log likelihood = -39361.88 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -39361.88 \n", "Iteration 1: log likelihood = -39361.88 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(100) = 1023.56\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -3.936e+04 Pseudo R2 = 0.0000\n", "\n", "-----------------------------------------------------------------------------------------------\n", " pedestriansinjured | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "pedestriansinjured |\n", " 1.flag_LPIS | -.0389057 .0089396 -4.35 0.000 -.056427 -.0213843\n", " bike_route_tv | -.0109777 .0121624 -0.90 0.367 -.0348155 .0128601\n", " flag_street_improv | -.0457265 .0222275 -2.06 0.040 -.0892916 -.0021614\n", " flag_left_turn | -.1676263 .024798 -6.76 0.000 -.2162295 -.1190231\n", " |\n", " quarterly |\n", " 211 | .0134697 .0143415 0.94 0.348 -.014639 .0415785\n", " 212 | .0205368 .0143414 1.43 0.152 -.0075718 .0486454\n", " 213 | .0208513 .0143422 1.45 0.146 -.0072589 .0489614\n", " 214 | .0011781 .0143427 0.08 0.935 -.0269331 .0292893\n", " 215 | .0199552 .0143452 1.39 0.164 -.008161 .0480714\n", " 216 | .0184234 .0143453 1.28 0.199 -.0096928 .0465396\n", " 217 | -.0105191 .0143478 -0.73 0.463 -.0386404 .0176021\n", " 218 | -.0355089 .0143488 -2.47 0.013 -.0636321 -.0073857\n", " 219 | .0159734 .0143493 1.11 0.266 -.0121507 .0440975\n", " 220 | -.0241884 .0143498 -1.69 0.092 -.0523134 .0039367\n", " 221 | -.0290267 .0143558 -2.02 0.043 -.0571636 -.0008898\n", " 222 | -.0232709 .0143678 -1.62 0.105 -.0514312 .0048894\n", " 223 | .0041098 .014372 0.29 0.775 -.0240588 .0322784\n", " 224 | -.0145964 .0143729 -1.02 0.310 -.0427668 .0135739\n", " 225 | -.0717736 .0143736 -4.99 0.000 -.0999453 -.0436018\n", " 226 | -.0811572 .0143851 -5.64 0.000 -.1093515 -.052963\n", " 227 | -.0701418 .0143879 -4.88 0.000 -.0983415 -.0419421\n", " 228 | -.0164937 .0143968 -1.15 0.252 -.0447109 .0117234\n", " 229 | -.0345624 .0144088 -2.40 0.016 -.0628032 -.0063216\n", " 230 | -.0753194 .0144115 -5.23 0.000 -.1035655 -.0470734\n", " 231 | -.0277225 .0144197 -1.92 0.055 -.0559845 .0005395\n", " 232 | -.0199827 .0144232 -1.39 0.166 -.0482516 .0082862\n", " 233 | -.0536797 .0144667 -3.71 0.000 -.0820338 -.0253256\n", " 234 | -.0611836 .0144959 -4.22 0.000 -.089595 -.0327722\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .0636096 .0548249 1.16 0.246 -.0438452 .1710644\n", " 1 212 | .0766514 .0548277 1.40 0.162 -.0308089 .1841118\n", " 1 213 | .0009225 .0548265 0.02 0.987 -.1065355 .1083804\n", " 1 214 | .0046116 .0548251 0.08 0.933 -.1028435 .1120668\n", " 1 215 | .0453571 .0548252 0.83 0.408 -.0620983 .1528124\n", " 1 216 | .0034111 .0548251 0.06 0.950 -.1040441 .1108663\n", " 1 217 | .0214334 .0548264 0.39 0.696 -.0860244 .1288912\n", " 1 218 | .0356584 .0548259 0.65 0.515 -.0717985 .1431152\n", " 1 219 | .0598747 .0548252 1.09 0.275 -.0475808 .1673302\n", " 1 220 | .0473064 .054826 0.86 0.388 -.0601506 .1547635\n", " 1 221 | -.0279579 .0548275 -0.51 0.610 -.1354178 .0795019\n", " 1 222 | -.0240885 .0548252 -0.44 0.660 -.131544 .083367\n", " 1 223 | -.0364655 .0548265 -0.67 0.506 -.1439235 .0709926\n", " 1 224 | .0004518 .0548263 0.01 0.993 -.1070058 .1079095\n", " 1 225 | .0600818 .0548261 1.10 0.273 -.0473754 .1675389\n", " 1 226 | .0108312 .0548283 0.20 0.843 -.0966303 .1182926\n", " 1 227 | -.0090294 .0548289 -0.16 0.869 -.1164921 .0984332\n", " 1 228 | .0166874 .0548291 0.30 0.761 -.0907757 .1241505\n", " 1 229 | -.0151908 .0548264 -0.28 0.782 -.1226486 .092267\n", " 1 230 | .0818324 .0548265 1.49 0.136 -.0256255 .1892903\n", " 1 231 | .0235518 .0548268 0.43 0.668 -.0839067 .1310103\n", " 1 232 | .0326877 .0548279 0.60 0.551 -.074773 .1401483\n", " 1 233 | .0135814 .0548266 0.25 0.804 -.0938767 .1210394\n", " 1 234 | .0744866 .054826 1.36 0.174 -.0329704 .1819436\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | .0692576 .0937051 0.74 0.460 -.114401 .2529162\n", " 1 212 | .0313654 .0937085 0.33 0.738 -.1522999 .2150308\n", " 1 213 | -.058437 .0937079 -0.62 0.533 -.242101 .125227\n", " 1 214 | -.0405378 .0937057 -0.43 0.665 -.2241977 .1431221\n", " 1 215 | .3749076 .0937073 4.00 0.000 .1912447 .5585705\n", " 1 216 | -.0183066 .0937092 -0.20 0.845 -.2019733 .1653601\n", " 1 217 | -.2197672 .0937075 -2.35 0.019 -.4034306 -.0361039\n", " 1 218 | -.326203 .0937084 -3.48 0.000 -.5098682 -.1425379\n", " 1 219 | -.2873044 .0937093 -3.07 0.002 -.4709712 -.1036376\n", " 1 220 | -.2618763 .0937214 -2.79 0.005 -.4455668 -.0781858\n", " 1 221 | -.4103319 .0937072 -4.38 0.000 -.5939946 -.2266692\n", " 1 222 | -.3743244 .0937395 -3.99 0.000 -.5580505 -.1905983\n", " 1 223 | -.3129119 .0937395 -3.34 0.001 -.496638 -.1291858\n", " 1 224 | -.2917803 .0937412 -3.11 0.002 -.4755098 -.1080509\n", " 1 225 | -.3829675 .0937427 -4.09 0.000 -.5666998 -.1992353\n", " 1 226 | -.5879487 .0937625 -6.27 0.000 -.7717198 -.4041776\n", " 1 227 | -.4966465 .0938041 -5.29 0.000 -.6804992 -.3127938\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 228 | -.4705395 .0937921 -5.02 0.000 -.6543687 -.2867103\n", " 1 229 | -.3991966 .0937801 -4.26 0.000 -.5830021 -.2153911\n", " 1 230 | -.552082 .0938569 -5.88 0.000 -.7360381 -.3681258\n", " 1 231 | -.6507307 .0938653 -6.93 0.000 -.8347033 -.4667581\n", " 1 232 | -.5297783 .0938624 -5.64 0.000 -.7137453 -.3458112\n", " 1 233 | -.6249951 .0938618 -6.66 0.000 -.8089608 -.4410293\n", " 1 234 | -.436098 .0938543 -4.65 0.000 -.620049 -.252147\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .008839 .0264617 0.33 0.738 -.043025 .0607029\n", " 1 212 | -.0291826 .0264617 -1.10 0.270 -.0810465 .0226813\n", " 1 213 | -.0179175 .0264619 -0.68 0.498 -.0697819 .0339469\n", " 1 214 | -.0140986 .0264641 -0.53 0.594 -.0659672 .03777\n", " 1 215 | .0103071 .0264631 0.39 0.697 -.0415596 .0621738\n", " 1 216 | .0035248 .026463 0.13 0.894 -.0483417 .0553913\n", " 1 217 | .0235076 .0264641 0.89 0.374 -.0283611 .0753764\n", " 1 218 | .016435 .0264663 0.62 0.535 -.035438 .068308\n", " 1 219 | .0099235 .0264758 0.37 0.708 -.041968 .0618151\n", " 1 220 | -.0092783 .0264755 -0.35 0.726 -.0611694 .0426128\n", " 1 221 | -.0045229 .0264729 -0.17 0.864 -.0564088 .0473629\n", " 1 222 | -.0289195 .0264722 -1.09 0.275 -.080804 .022965\n", " 1 223 | .0392967 .0264756 1.48 0.138 -.0125946 .091188\n", " 1 224 | .028405 .0264772 1.07 0.283 -.0234893 .0802993\n", " 1 225 | .0022866 .0264772 0.09 0.931 -.0496077 .0541808\n", " 1 226 | -.0033236 .0265047 -0.13 0.900 -.0552719 .0486246\n", " 1 227 | .023505 .0265283 0.89 0.376 -.0284894 .0754994\n", " 1 228 | -.0140253 .0265429 -0.53 0.597 -.0660484 .0379978\n", " 1 229 | .0254257 .0265692 0.96 0.339 -.026649 .0775004\n", " 1 230 | .026178 .0265706 0.99 0.325 -.0258994 .0782554\n", " 1 231 | .0041078 .0265737 0.15 0.877 -.0479757 .0561914\n", " 1 232 | .0154186 .0265738 0.58 0.562 -.036665 .0675023\n", " 1 233 | .0057029 .0265485 0.21 0.830 -.0463312 .0577369\n", " 1 234 | -.007904 .0265453 -0.30 0.766 -.0599319 .0441238\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " e.pedestriansinjured | -.0014294 .0071792 -0.20 0.842 -.0155005 .0126416\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | .4406542 .001216 .4382774 .4430439\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(1) = 0.04 Prob > chi2 = 0.8422\n", "\n", "spem_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "// Spatial Error Model collision_count\n", "global outcome pedestriansinjured\n", "spxtregress $outcome i.flag_LPIS $time_variant_var $time_var $time_trend, fe errorlag(W)\n", "outreg2 using \"$filename\", word append ctitle(spxtregress fe $outcome) " ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -9728.8655 \n", "Iteration 1: log likelihood = -9718.6889 \n", "Iteration 2: log likelihood = -9718.6886 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -9718.6886 \n", "Iteration 1: log likelihood = -9718.6886 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(100) = 630.35\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -9718.6886 Pseudo R2 = 0.0035\n", "\n", "-----------------------------------------------------------------------------------------------\n", " cyclistinjured | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "cyclistinjured |\n", " 1.flag_LPIS | -.0167778 .0057214 -2.93 0.003 -.0279917 -.005564\n", " bike_route_tv | .0030761 .0078113 0.39 0.694 -.0122337 .0183859\n", " flag_street_improv | .0047863 .0142018 0.34 0.736 -.0230488 .0326214\n", " flag_left_turn | -.0277437 .0157971 -1.76 0.079 -.0587054 .0032181\n", " |\n", " quarterly |\n", " 211 | -.0372621 .0093887 -3.97 0.000 -.0556637 -.0188605\n", " 212 | -.0441531 .0093887 -4.70 0.000 -.0625547 -.0257516\n", " 213 | -.0029174 .0093891 -0.31 0.756 -.0213197 .0154848\n", " 214 | .01085 .0093897 1.16 0.248 -.0075534 .0292534\n", " 215 | -.0178358 .0093911 -1.90 0.058 -.036242 .0005705\n", " 216 | -.0484062 .0093911 -5.15 0.000 -.0668124 -.03\n", " 217 | .0098849 .0093927 1.05 0.293 -.0085245 .0282942\n", " 218 | .0276423 .0093932 2.94 0.003 .0092319 .0460526\n", " 219 | -.0203962 .0093936 -2.17 0.030 -.0388074 -.001985\n", " 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1 227 | .0206132 .0349727 0.59 0.556 -.047932 .0891585\n", " 1 228 | .0312296 .0349731 0.89 0.372 -.0373164 .0997756\n", " 1 229 | .0421736 .0349721 1.21 0.228 -.0263705 .1107177\n", " 1 230 | .0503953 .0349728 1.44 0.150 -.0181501 .1189408\n", " 1 231 | .033178 .0349733 0.95 0.343 -.0353684 .1017243\n", " 1 232 | .0053021 .0349722 0.15 0.879 -.0632422 .0738464\n", " 1 233 | .0327716 .0349724 0.94 0.349 -.035773 .1013162\n", " 1 234 | .0192257 .0349719 0.55 0.582 -.049318 .0877693\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.2177463 .0596952 -3.65 0.000 -.3347468 -.1007458\n", " 1 212 | -.0457007 .0596949 -0.77 0.444 -.1627005 .0712991\n", " 1 213 | -.1388376 .0597 -2.33 0.020 -.2558474 -.0218277\n", " 1 214 | .0726586 .0596955 1.22 0.224 -.0443424 .1896595\n", " 1 215 | -.138954 .0596958 -2.33 0.020 -.2559555 -.0219524\n", " 1 216 | -.1547799 .0596958 -2.59 0.010 -.2717815 -.0377783\n", " 1 217 | .0974372 .0596963 1.63 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-.1654014 .0597924 -2.77 0.006 -.2825924 -.0482105\n", " 1 233 | -.0893845 .0597881 -1.50 0.135 -.206567 .027798\n", " 1 234 | -.0614069 .0597916 -1.03 0.304 -.1785963 .0557825\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .0232742 .0172572 1.35 0.177 -.0105494 .0570977\n", " 1 212 | .0020325 .0172575 0.12 0.906 -.0317915 .0358565\n", " 1 213 | .0099694 .0172574 0.58 0.563 -.0238546 .0437933\n", " 1 214 | .0058519 .0172591 0.34 0.735 -.0279753 .0396792\n", " 1 215 | .0057613 .0172582 0.33 0.739 -.0280642 .0395867\n", " 1 216 | .0085893 .0172581 0.50 0.619 -.025236 .0424146\n", " 1 217 | .0119056 .0172593 0.69 0.490 -.0219221 .0457333\n", " 1 218 | -.0194232 .0172591 -1.13 0.260 -.0532503 .0144039\n", " 1 219 | -.0021802 .0172666 -0.13 0.900 -.0360222 .0316617\n", " 1 220 | -.0135423 .0172662 -0.78 0.433 -.0473835 .0202989\n", " 1 221 | .0029342 .0172647 0.17 0.865 -.0309039 .0367724\n", " 1 222 | .0034272 .0172638 0.20 0.843 -.0304093 .0372637\n", " 1 223 | -.0108597 .0172661 -0.63 0.529 -.0447005 .0229812\n", " 1 224 | .0058899 .0172664 0.34 0.733 -.0279515 .0397314\n", " 1 225 | -.0099518 .017267 -0.58 0.564 -.0437946 .023891\n", " 1 226 | .0069833 .017284 0.40 0.686 -.0268928 .0408594\n", " 1 227 | .0265135 .0172983 1.53 0.125 -.0073906 .0604176\n", " 1 228 | .0149204 .0173077 0.86 0.389 -.0190022 .0488429\n", " 1 229 | .0187108 .0173238 1.08 0.280 -.0152433 .0526649\n", " 1 230 | .0135578 .0173244 0.78 0.434 -.0203974 .047513\n", " 1 231 | .0115019 .0173267 0.66 0.507 -.0224577 .0454615\n", " 1 232 | -.007012 .0173264 -0.40 0.686 -.0409711 .0269472\n", " 1 233 | .0099852 .0173113 0.58 0.564 -.0239443 .0439146\n", " 1 234 | .0079035 .0173094 0.46 0.648 -.0260224 .0418293\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " e.cyclistinjured | .0319438 .0070671 4.52 0.000 .0180924 .0457952\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | .2805486 .0007742 .2790352 .2820701\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(1) = 20.43 Prob > chi2 = 0.0000\n", "\n", "spem_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "// Spatial Error Model collision_count\n", "global outcome cyclistinjured\n", "spxtregress $outcome i.flag_LPIS $time_variant_var $time_var $time_trend, fe errorlag(W)\n", "outreg2 using \"$filename\", word append ctitle(spxtregress fe $outcome) " ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -67574.835 \n", "Iteration 1: log likelihood = -67573.218 \n", "Iteration 2: log likelihood = -67573.218 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -67573.218 \n", "Iteration 1: log likelihood = -67573.218 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(100) = 397.46\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -6.757e+04 Pseudo R2 = 0.0001\n", "\n", "-----------------------------------------------------------------------------------------------\n", " motoristinjured | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "motoristinjured |\n", " 1.flag_LPIS | -.0089336 .0137685 -0.65 0.516 -.0359193 .0180522\n", " bike_route_tv | .0359407 .0187587 1.92 0.055 -.0008256 .072707\n", " flag_street_improv | -.0294274 .0342091 -0.86 0.390 -.096476 .0376213\n", " flag_left_turn | -.0957196 .0381187 -2.51 0.012 -.1704308 -.0210083\n", " |\n", " quarterly |\n", " 211 | -.0582257 .0223005 -2.61 0.009 -.1019339 -.0145174\n", " 212 | -.0903529 .0223009 -4.05 0.000 -.1340618 -.0466439\n", " 213 | -.0473122 .0223016 -2.12 0.034 -.0910225 -.003602\n", " 214 | -.0374714 .0223026 -1.68 0.093 -.0811838 .006241\n", " 215 | -.0806799 .0223069 -3.62 0.000 -.1244007 -.0369591\n", " 216 | -.1201995 .0223063 -5.39 0.000 -.163919 -.07648\n", " 217 | -.0716411 .0223101 -3.21 0.001 -.115368 -.0279142\n", " 218 | -.0736918 .0223114 -3.30 0.001 -.1174214 -.0299623\n", " 219 | -.1087433 .0223124 -4.87 0.000 -.1524749 -.0650117\n", " 220 | -.1333949 .0223134 -5.98 0.000 -.1771283 -.0896616\n", " 221 | -.0976624 .0223225 -4.38 0.000 -.1414136 -.0539112\n", " 222 | -.086705 .0223406 -3.88 0.000 -.1304919 -.0429182\n", " 223 | -.1065628 .0223476 -4.77 0.000 -.1503633 -.0627624\n", " 224 | -.1160991 .0223486 -5.19 0.000 -.1599015 -.0722967\n", " 225 | -.1264147 .0223497 -5.66 0.000 -.1702193 -.0826101\n", " 226 | -.1661544 .0223675 -7.43 0.000 -.209994 -.1223149\n", " 227 | -.1521838 .0223712 -6.80 0.000 -.1960306 -.108337\n", " 228 | -.1285954 .0223846 -5.74 0.000 -.1724684 -.0847224\n", " 229 | -.0902444 .0224033 -4.03 0.000 -.134154 -.0463348\n", " 230 | -.1049271 .0224076 -4.68 0.000 -.1488452 -.061009\n", " 231 | -.1196456 .02242 -5.34 0.000 -.163588 -.0757032\n", " 232 | -.1342603 .0224253 -5.99 0.000 -.1782132 -.0903075\n", " 233 | -.0842764 .0224926 -3.75 0.000 -.1283612 -.0401916\n", " 234 | -.0785006 .0225363 -3.48 0.000 -.122671 -.0343302\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .022845 .0843183 0.27 0.786 -.1424158 .1881058\n", " 1 212 | .0228159 .084319 0.27 0.787 -.1424463 .1880781\n", " 1 213 | .0510608 .0843183 0.61 0.545 -.1142001 .2163217\n", " 1 214 | .0506013 .0843185 0.60 0.548 -.11466 .2158625\n", " 1 215 | .0628944 .0843184 0.75 0.456 -.1023667 .2281555\n", " 1 216 | -.0321104 .0843184 -0.38 0.703 -.1973715 .1331507\n", " 1 217 | -.0735526 .08432 -0.87 0.383 -.2388168 .0917117\n", " 1 218 | -.0024092 .0843183 -0.03 0.977 -.1676701 .1628517\n", " 1 219 | .1571998 .0843181 1.86 0.062 -.0080606 .3224602\n", " 1 220 | -.0244042 .0843181 -0.29 0.772 -.1896647 .1408563\n", " 1 221 | .0863367 .0843185 1.02 0.306 -.0789245 .2515979\n", " 1 222 | -.0021073 .0843189 -0.02 0.980 -.1673694 .1631548\n", " 1 223 | -.0317738 .0843198 -0.38 0.706 -.1970376 .13349\n", " 1 224 | .0600096 .084321 0.71 0.477 -.1052565 .2252758\n", " 1 225 | .0798471 .0843193 0.95 0.344 -.0854157 .2451099\n", " 1 226 | -.0022953 .0843235 -0.03 0.978 -.1675663 .1629758\n", " 1 227 | -.0255189 .0843225 -0.30 0.762 -.1907879 .1397502\n", " 1 228 | -.0417537 .0843226 -0.50 0.620 -.207023 .1235156\n", " 1 229 | -.032602 .084326 -0.39 0.699 -.197878 .132674\n", " 1 230 | -.0552958 .0843217 -0.66 0.512 -.2205632 .1099717\n", " 1 231 | .0858865 .0843215 1.02 0.308 -.0793806 .2511536\n", " 1 232 | .116202 .0843212 1.38 0.168 -.0490644 .2814685\n", " 1 233 | .0377733 .0843204 0.45 0.654 -.1274916 .2030383\n", " 1 234 | .0807853 .0843227 0.96 0.338 -.084484 .2460547\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.4598878 .1440345 -3.19 0.001 -.7421903 -.1775853\n", " 1 212 | -.3930008 .1440344 -2.73 0.006 -.675303 -.1106986\n", " 1 213 | .168955 .1440345 1.17 0.241 -.1133475 .4512575\n", " 1 214 | -.17151 .1440353 -1.19 0.234 -.453814 .1107941\n", " 1 215 | -.0680448 .1440362 -0.47 0.637 -.3503506 .2142611\n", " 1 216 | -.3632487 .1440383 -2.52 0.012 -.6455586 -.0809387\n", " 1 217 | -.2874322 .1440384 -2.00 0.046 -.5697424 -.0051221\n", " 1 218 | -.4550864 .1440382 -3.16 0.002 -.7373961 -.1727766\n", " 1 219 | -.4102165 .1440442 -2.85 0.004 -.6925379 -.1278951\n", " 1 220 | -.7986583 .1440421 -5.54 0.000 -1.080976 -.516341\n", " 1 221 | -.1958953 .1440363 -1.36 0.174 -.4782012 .0864106\n", " 1 222 | -.1882845 .1440783 -1.31 0.191 -.4706728 .0941037\n", " 1 223 | -.25618 .1440801 -1.78 0.075 -.5385717 .0262117\n", " 1 224 | -.277126 .1440781 -1.92 0.054 -.5595139 .0052619\n", " 1 225 | -.388473 .1440772 -2.70 0.007 -.6708592 -.1060869\n", " 1 226 | -.6454005 .1441 -4.48 0.000 -.9278314 -.3629696\n", " 1 227 | -.5728437 .1441742 -3.97 0.000 -.85542 -.2902674\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 228 | -.3714653 .144162 -2.58 0.010 -.6540177 -.0889129\n", " 1 229 | .0267384 .1441632 0.19 0.853 -.2558164 .3092931\n", " 1 230 | -.5388861 .1442466 -3.74 0.000 -.8216043 -.2561678\n", " 1 231 | -.4599372 .1442715 -3.19 0.001 -.7427042 -.1771703\n", " 1 232 | -.6558575 .1442699 -4.55 0.000 -.9386214 -.3730936\n", " 1 233 | -.4513243 .1442614 -3.13 0.002 -.7340714 -.1685772\n", " 1 234 | -.6798427 .1442618 -4.71 0.000 -.9625905 -.3970948\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .0148926 .0410835 0.36 0.717 -.0656296 .0954147\n", " 1 212 | .0414426 .0410829 1.01 0.313 -.0390783 .1219636\n", " 1 213 | .0243211 .0410817 0.59 0.554 -.0561977 .1048398\n", " 1 214 | .0769656 .0410859 1.87 0.061 -.0035613 .1574925\n", " 1 215 | .032971 .0410845 0.80 0.422 -.0475532 .1134952\n", " 1 216 | .0521145 .0410842 1.27 0.205 -.0284089 .132638\n", " 1 217 | .0753795 .0410853 1.83 0.067 -.0051462 .1559052\n", " 1 218 | .0485854 .041086 1.18 0.237 -.0319417 .1291125\n", " 1 219 | .0666732 .0411027 1.62 0.105 -.0138866 .147233\n", " 1 220 | .0625486 .0411036 1.52 0.128 -.0180129 .1431102\n", " 1 221 | .0577046 .0410999 1.40 0.160 -.0228497 .1382589\n", " 1 222 | .023628 .0410977 0.57 0.565 -.0569221 .1041781\n", " 1 223 | .0887424 .0411045 2.16 0.031 .0081791 .1693056\n", " 1 224 | .0390076 .0411043 0.95 0.343 -.0415553 .1195705\n", " 1 225 | .0625524 .0411054 1.52 0.128 -.0180127 .1431176\n", " 1 226 | .0410135 .0411474 1.00 0.319 -.0396339 .121661\n", " 1 227 | .0202028 .0411817 0.49 0.624 -.0605119 .1009175\n", " 1 228 | .0132333 .0412044 0.32 0.748 -.0675259 .0939924\n", " 1 229 | .0257813 .0412451 0.63 0.532 -.0550575 .1066202\n", " 1 230 | .061307 .0412462 1.49 0.137 -.0195342 .1421481\n", " 1 231 | .0587323 .0412519 1.42 0.155 -.0221201 .1395846\n", " 1 232 | .0228777 .0412512 0.55 0.579 -.0579731 .1037285\n", " 1 233 | .0095337 .0412147 0.23 0.817 -.0712456 .090313\n", " 1 234 | .0024558 .0412089 0.06 0.952 -.0783121 .0832237\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " e.motoristinjured | .0128532 .0071423 1.80 0.072 -.0011455 .0268519\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | .6771414 .0018686 .6734889 .6808136\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(1) = 3.24 Prob > chi2 = 0.0719\n", "\n", "spem_qt_results_xt.rtf\n", "dir : seeout\n" ] } ], "source": [ "// Spatial Error Model collision_count\n", "global outcome motoristinjured\n", "spxtregress $outcome i.flag_LPIS $time_variant_var $time_var $time_trend, fe errorlag(W)\n", "outreg2 using \"$filename\", word append ctitle(spxtregress fe $outcome) " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Spatial Lag and Error Model" ] }, { "cell_type": "code", "execution_count": 63, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -133586.36 \n", "Iteration 1: log likelihood = -133573.19 \n", "Iteration 2: log likelihood = -133572.65 \n", "Iteration 3: log likelihood = -133572.65 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -133572.65 \n", "Iteration 1: log likelihood = -133572.65 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(101) = 25284.33\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -1.336e+05 Pseudo R2 = 0.0027\n", "\n", "-----------------------------------------------------------------------------------------------\n", " collision_count | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "collision_count |\n", " 1.flag_LPIS | -.0516921 .030707 -1.68 0.092 -.1118767 .0084925\n", " bike_route_tv | .1147776 .0394251 2.91 0.004 .0375057 .1920495\n", " flag_street_improv | -.3318003 .0787364 -4.21 0.000 -.4861209 -.1774798\n", " flag_left_turn | -.885839 .0930796 -9.52 0.000 -1.068272 -.7034063\n", " |\n", " quarterly |\n", " 211 | -.1174941 .0368295 -3.19 0.001 -.1896786 -.0453095\n", " 212 | -.167079 .036935 -4.52 0.000 -.2394703 -.0946878\n", " 213 | .0094998 .0367686 0.26 0.796 -.0625655 .081565\n", " 214 | -.0231315 .0367755 -0.63 0.529 -.0952102 .0489471\n", " 215 | -.042171 .0367927 -1.15 0.252 -.1142835 .0299414\n", " 216 | -.1738485 .0369869 -4.70 0.000 -.2463414 -.1013555\n", " 217 | -.0029465 .0367995 -0.08 0.936 -.0750722 .0691792\n", " 218 | -.0117604 .0368056 -0.32 0.749 -.0838982 .0603773\n", " 219 | -.0457019 .0368146 -1.24 0.214 -.1178572 .0264535\n", " 220 | -.1891872 .0370451 -5.11 0.000 -.2617943 -.1165801\n", " 221 | .0199443 .0368273 0.54 0.588 -.0522358 .0921245\n", " 222 | .002976 .0368807 0.08 0.936 -.0693089 .0752608\n", " 223 | .0290764 .0369011 0.79 0.431 -.0432485 .1014013\n", " 224 | -.1222348 .0370164 -3.30 0.001 -.1947855 -.0496841\n", " 225 | -.2528537 .0373424 -6.77 0.000 -.3260435 -.179664\n", " 226 | -.475929 .038486 -12.37 0.000 -.5513601 -.4004979\n", " 227 | -.4794731 .0385444 -12.44 0.000 -.5550187 -.4039275\n", " 228 | -.3974049 .0381504 -10.42 0.000 -.4721784 -.3226314\n", " 229 | -.225335 .0374606 -6.02 0.000 -.2987563 -.1519136\n", " 230 | -.3710734 .0380611 -9.75 0.000 -.4456719 -.296475\n", " 231 | -.3266014 .0379435 -8.61 0.000 -.4009693 -.2522335\n", " 232 | -.323758 .0379972 -8.52 0.000 -.3982312 -.2492848\n", " 233 | -.2146279 .0377667 -5.68 0.000 -.2886493 -.1406064\n", " 234 | -.2856686 .0381463 -7.49 0.000 -.3604339 -.2109034\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .3082438 .2000799 1.54 0.123 -.0839056 .7003932\n", " 1 212 | .2560657 .2000946 1.28 0.201 -.1361125 .648244\n", " 1 213 | .1963802 .20008 0.98 0.326 -.1957694 .5885297\n", " 1 214 | .0579097 .200079 0.29 0.772 -.3342379 .4500572\n", " 1 215 | -.017428 .2000811 -0.09 0.931 -.4095798 .3747239\n", " 1 216 | .1088057 .2000871 0.54 0.587 -.2833578 .5009692\n", " 1 217 | .1199953 .2000895 0.60 0.549 -.272173 .5121635\n", " 1 218 | .0506867 .2000799 0.25 0.800 -.3414626 .4428361\n", " 1 219 | .3876644 .2000991 1.94 0.053 -.0045225 .7798514\n", " 1 220 | .4145231 .2000998 2.07 0.038 .0223347 .8067115\n", " 1 221 | .0004567 .2000799 0.00 0.998 -.3916927 .3926062\n", " 1 222 | .1223798 .2000797 0.61 0.541 -.2697691 .5145287\n", " 1 223 | .130693 .2000813 0.65 0.514 -.2614591 .5228451\n", " 1 224 | .088307 .2000798 0.44 0.659 -.3038422 .4804563\n", " 1 225 | .4424421 .200091 2.21 0.027 .0502708 .8346133\n", " 1 226 | .1797586 .2001171 0.90 0.369 -.2124638 .571981\n", " 1 227 | .2307662 .2001157 1.15 0.249 -.1614535 .6229858\n", " 1 228 | .2409313 .2001297 1.20 0.229 -.1513157 .6331782\n", " 1 229 | .4239813 .2001135 2.12 0.034 .031766 .8161966\n", " 1 230 | .392668 .2001201 1.96 0.050 .0004398 .7848961\n", " 1 231 | .4898955 .2001266 2.45 0.014 .0976546 .8821363\n", " 1 232 | .3935846 .2001517 1.97 0.049 .0012945 .7858747\n", " 1 233 | .1801852 .2001139 0.90 0.368 -.2120308 .5724012\n", " 1 234 | .4588124 .2001276 2.29 0.022 .0665695 .8510553\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.5751033 .3507834 -1.64 0.101 -1.262626 .1124196\n", " 1 212 | -1.233083 .3508368 -3.51 0.000 -1.920711 -.5454558\n", " 1 213 | -.6424402 .3507673 -1.83 0.067 -1.329931 .0450511\n", " 1 214 | -.2912092 .3507497 -0.83 0.406 -.978666 .3962476\n", " 1 215 | .0613562 .3507522 0.17 0.861 -.6261055 .7488178\n", " 1 216 | -1.590457 .350877 -4.53 0.000 -2.278163 -.9027508\n", " 1 217 | -.8683592 .3508048 -2.48 0.013 -1.555924 -.1807944\n", " 1 218 | -.6218693 .3507891 -1.77 0.076 -1.309403 .0656647\n", " 1 219 | -1.090065 .3508914 -3.11 0.002 -1.7778 -.4023306\n", " 1 220 | -2.216844 .3510001 -6.32 0.000 -2.904792 -1.528897\n", " 1 221 | -1.33025 .3508095 -3.79 0.000 -2.017824 -.6426758\n", " 1 222 | .2779453 .3508926 0.79 0.428 -.4097916 .9656821\n", " 1 223 | -.8906082 .3509542 -2.54 0.011 -1.578466 -.2027507\n", " 1 224 | -1.387796 .3509645 -3.95 0.000 -2.075674 -.699918\n", " 1 225 | -2.312902 .3511203 -6.59 0.000 -3.001085 -1.624719\n", " 1 226 | -3.407367 .3515288 -9.69 0.000 -4.096351 -2.718383\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " 1 227 | -3.840309 .3518799 -10.91 0.000 -4.529981 -3.150637\n", " 1 228 | -3.441195 .3516134 -9.79 0.000 -4.130345 -2.752046\n", " 1 229 | -3.227735 .3516662 -9.18 0.000 -3.916988 -2.538482\n", " 1 230 | -3.571693 .3518512 -10.15 0.000 -4.261308 -2.882077\n", " 1 231 | -3.725028 .3520448 -10.58 0.000 -4.415023 -3.035033\n", " 1 232 | -3.305301 .3517851 -9.40 0.000 -3.994787 -2.615815\n", " 1 233 | -3.156746 .3517703 -8.97 0.000 -3.846203 -2.467289\n", " 1 234 | -3.308564 .3519005 -9.40 0.000 -3.998276 -2.618851\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .1141962 .0698097 1.64 0.102 -.0226284 .2510208\n", " 1 212 | .0073476 .0697722 0.11 0.916 -.1294033 .1440986\n", " 1 213 | .0438778 .0697772 0.63 0.529 -.092883 .1806387\n", " 1 214 | .0745046 .0697909 1.07 0.286 -.062283 .2112922\n", " 1 215 | .1179637 .0698098 1.69 0.091 -.018861 .2547884\n", " 1 216 | .0838082 .0697935 1.20 0.230 -.0529845 .220601\n", " 1 217 | .0998681 .0698068 1.43 0.153 -.0369508 .2366869\n", " 1 218 | -.0340714 .0697844 -0.49 0.625 -.1708464 .1027036\n", " 1 219 | .0619339 .0698315 0.89 0.375 -.0749334 .1988012\n", " 1 220 | .0010767 .0698198 0.02 0.988 -.1357676 .1379211\n", " 1 221 | .0960844 .0698402 1.38 0.169 -.0408 .2329687\n", " 1 222 | .053589 .069825 0.77 0.443 -.0832655 .1904435\n", " 1 223 | .1113778 .069854 1.59 0.111 -.0255336 .2482891\n", " 1 224 | -.0066082 .06983 -0.09 0.925 -.1434724 .130256\n", " 1 225 | -.1474223 .0698727 -2.11 0.035 -.2843703 -.0104742\n", " 1 226 | -.0946805 .069992 -1.35 0.176 -.2318622 .0425013\n", " 1 227 | -.0598291 .0700701 -0.85 0.393 -.197164 .0775057\n", " 1 228 | -.0391855 .0701353 -0.56 0.576 -.1766482 .0982773\n", " 1 229 | -.0156615 .0703157 -0.22 0.824 -.1534777 .1221548\n", " 1 230 | .0278731 .0703254 0.40 0.692 -.1099621 .1657084\n", " 1 231 | -.0063968 .0703394 -0.09 0.928 -.1442595 .1314658\n", " 1 232 | -.1512687 .0703822 -2.15 0.032 -.2892153 -.013322\n", " 1 233 | -.0494111 .0701925 -0.70 0.481 -.1869859 .0881637\n", " 1 234 | -.1591636 .0702044 -2.27 0.023 -.2967616 -.0215655\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " collision_count | .6437354 .0081489 79.00 0.000 .6277639 .6597069\n", " e.collision_count | -.654983 .0145243 -45.10 0.000 -.6834502 -.6265159\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | 1.72776 .0062935 1.715469 1.740139\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(2) = 7949.75 Prob > chi2 = 0.0000\n" ] } ], "source": [ "spxtregress collision_count i.flag_LPIS $time_variant_var $time_var $time_trend, fe dvarlag(W) errorlag(W)" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "progress : 9% 18% 27% 36% 45% 55% 64% 73% 82% 91% 100% \n", "\n", "Average impacts Number of obs = 68,400\n", "\n", "-------------------------------------------------------------------------------------\n", " | Delta-Method\n", " | dy/dx Std. Err. z P>|z| [95% Conf. Interval]\n", "--------------------+----------------------------------------------------------------\n", "direct |\n", " flag_LPIS |\n", " 1 | -.0565016 .0335629 -1.68 0.092 -.1222836 .0092805\n", " |\n", " bike_route_tv | .1254566 .043077 2.91 0.004 .0410273 .2098859\n", " flag_street_improv | -.3626713 .0860279 -4.22 0.000 -.531283 -.1940597\n", " flag_left_turn | -.9682582 .1016223 -9.53 0.000 -1.167434 -.7690822\n", " |\n", " flag_school |\n", " 1 | .2473642 .1515252 1.63 0.103 -.0496197 .5443482\n", " |\n", "flag_priorityinters |\n", " 1 | -1.997887 .2657963 -7.52 0.000 -2.518839 -1.476936\n", " |\n", " flag_seniors |\n", " 1 | .0056752 .0529768 0.11 0.915 -.0981575 .1095078\n", "--------------------+----------------------------------------------------------------\n", "indirect |\n", " flag_LPIS |\n", " 1 | -.0768607 .0457071 -1.68 0.093 -.166445 .0127236\n", " |\n", " bike_route_tv | .1706622 .0586265 2.91 0.004 .0557564 .2855681\n", " flag_street_improv | -.4933523 .1176155 -4.19 0.000 -.7238743 -.2628302\n", " flag_left_turn | -1.31715 .1429579 -9.21 0.000 -1.597342 -1.036957\n", " |\n", " flag_school |\n", " 1 | .3364967 .2062843 1.63 0.103 -.0678131 .7408066\n", " |\n", "flag_priorityinters |\n", " 1 | -2.717784 .3691573 -7.36 0.000 -3.441319 -1.994249\n", " |\n", " flag_seniors |\n", " 1 | .0077201 .072065 0.11 0.915 -.1335246 .1489649\n", "--------------------+----------------------------------------------------------------\n", "total |\n", " flag_LPIS |\n", " 1 | -.1333623 .0792444 -1.68 0.092 -.2886785 .0219539\n", " |\n", " bike_route_tv | .2961188 .1016051 2.91 0.004 .0969765 .4952611\n", " flag_street_improv | -.8560236 .2032332 -4.21 0.000 -1.254353 -.4576939\n", " flag_left_turn | -2.285408 .2421658 -9.44 0.000 -2.760044 -1.810772\n", " |\n", " flag_school |\n", " 1 | .583861 .3577009 1.63 0.103 -.1172198 1.284942\n", " |\n", "flag_priorityinters |\n", " 1 | -4.715671 .6309795 -7.47 0.000 -5.952368 -3.478974\n", " |\n", " flag_seniors |\n", " 1 | .0133953 .1250416 0.11 0.915 -.2316818 .2584723\n", "-------------------------------------------------------------------------------------\n" ] } ], "source": [ "estat impact" ] }, { "cell_type": "code", "execution_count": 65, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " (68400 observations)\n", " (68400 observations used)\n", " (data contain 2736 panels (places) )\n", " (weighting matrix defines 2736 places)\n", "\n", "Performing grid search ... finished \n", "\n", "Optimizing concentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -83695.412 \n", "Iteration 1: log likelihood = -83695.244 \n", "Iteration 2: log likelihood = -83695.24 \n", "\n", "Optimizing unconcentrated log likelihood:\n", "\n", "Iteration 0: log likelihood = -83695.24 \n", "Iteration 1: log likelihood = -83695.24 (backed up)\n", "\n", "Fixed-effects spatial regression Number of obs = 68,400\n", "Group variable: _ID Number of groups = 2,736\n", " Obs per group = 25\n", "\n", " Wald chi2(101) = 1433.50\n", " Prob > chi2 = 0.0000\n", "Log likelihood = -8.370e+04 Pseudo R2 = 0.0009\n", "\n", "-----------------------------------------------------------------------------------------------\n", " personsinjured | Coef. Std. Err. z P>|z| [95% Conf. Interval]\n", "------------------------------+----------------------------------------------------------------\n", "personsinjured |\n", " 1.flag_LPIS | -.0613041 .0167868 -3.65 0.000 -.0942055 -.0284026\n", " bike_route_tv | .0285043 .0223226 1.28 0.202 -.0152471 .0722558\n", " flag_street_improv | -.068704 .0421651 -1.63 0.103 -.151346 .0139381\n", " flag_left_turn | -.2950874 .0479824 -6.15 0.000 -.3891313 -.2010436\n", " |\n", " quarterly |\n", " 211 | -.0640118 .0238783 -2.68 0.007 -.1108123 -.0172113\n", " 212 | -.0887109 .0240296 -3.69 0.000 -.1358081 -.0416138\n", " 213 | -.0231208 .0237407 -0.97 0.330 -.0696518 .0234101\n", " 214 | -.0199008 .0237384 -0.84 0.402 -.0664271 .0266256\n", " 215 | -.0627195 .0238529 -2.63 0.009 -.1094704 -.0159685\n", " 216 | -.117352 .0242625 -4.84 0.000 -.1649056 -.0697984\n", " 217 | -.0568867 .0238599 -2.38 0.017 -.1036513 -.0101221\n", " 218 | -.0619741 .0239235 -2.59 0.010 -.1088633 -.0150849\n", " 219 | -.0896769 .0240187 -3.73 0.000 -.1367527 -.042601\n", " 220 | -.1669259 .0248559 -6.72 0.000 -.2156426 -.1182092\n", " 221 | -.1001194 .024146 -4.15 0.000 -.1474447 -.0527942\n", " 222 | -.0711046 .024003 -2.96 0.003 -.1181496 -.0240596\n", " 223 | -.070535 .0240206 -2.94 0.003 -.1176146 -.0234555\n", " 224 | -.1271362 .0244294 -5.20 0.000 -.1750169 -.0792556\n", " 225 | -.1580904 .0247022 -6.40 0.000 -.2065058 -.109675\n", " 226 | -.2196987 .0257222 -8.54 0.000 -.2701132 -.1692842\n", " 227 | -.217964 .0256547 -8.50 0.000 -.2682462 -.1676818\n", " 228 | -.1781082 .0251571 -7.08 0.000 -.2274151 -.1288012\n", " 229 | -.1096386 .0242992 -4.51 0.000 -.1572642 -.062013\n", " 230 | -.1507708 .0247776 -6.08 0.000 -.199334 -.1022076\n", " 231 | -.1411771 .0246769 -5.72 0.000 -.1895429 -.0928113\n", " 232 | -.149971 .0248855 -6.03 0.000 -.1987456 -.1011964\n", " 233 | -.1129888 .0246788 -4.58 0.000 -.1613584 -.0646192\n", " 234 | -.0990262 .0245495 -4.03 0.000 -.1471425 -.05091\n", " |\n", " 1.flag_school | 0 (omitted)\n", " |\n", " flag_school#quarterly |\n", " 1 211 | .095559 .10512 0.91 0.363 -.1104725 .3015905\n", " 1 212 | .1153178 .1051308 1.10 0.273 -.0907349 .3213704\n", " 1 213 | .0698457 .1051253 0.66 0.506 -.1361962 .2758875\n", " 1 214 | .1017035 .105119 0.97 0.333 -.104326 .307733\n", " 1 215 | .1126579 .1051265 1.07 0.284 -.0933862 .3187021\n", " 1 216 | -.0226358 .1051206 -0.22 0.830 -.2286683 .1833967\n", " 1 217 | -.0875913 .1051403 -0.83 0.405 -.2936625 .1184799\n", " 1 218 | .0016149 .1051197 0.02 0.988 -.2044159 .2076456\n", " 1 219 | .2124702 .1051489 2.02 0.043 .0063821 .4185584\n", " 1 220 | .0604112 .1051222 0.57 0.566 -.1456246 .266447\n", " 1 221 | .0911328 .1051281 0.87 0.386 -.1149144 .29718\n", " 1 222 | -.0033917 .1051212 -0.03 0.974 -.2094255 .2026421\n", " 1 223 | -.0801459 .1051304 -0.76 0.446 -.2861977 .1259058\n", " 1 224 | .0700816 .1051208 0.67 0.505 -.1359513 .2761145\n", " 1 225 | .1447908 .1051319 1.38 0.168 -.0612639 .3508456\n", " 1 226 | .0247635 .1051265 0.24 0.814 -.1812806 .2308076\n", " 1 227 | .0034206 .1051238 0.03 0.974 -.2026184 .2094595\n", " 1 228 | .011625 .1051278 0.11 0.912 -.1944217 .2176717\n", " 1 229 | .0099576 .1051515 0.09 0.925 -.1961356 .2160508\n", " 1 230 | .0875739 .1051264 0.83 0.405 -.11847 .2936179\n", " 1 231 | .1481213 .1051232 1.41 0.159 -.0579165 .3541591\n", " 1 232 | .1421223 .1051528 1.35 0.177 -.0639733 .348218\n", " 1 233 | .0767252 .1051266 0.73 0.465 -.1293192 .2827696\n", " 1 234 | .1840054 .105122 1.75 0.080 -.0220301 .3900408\n", " |\n", " 1.flag_priorityinters | 0 (omitted)\n", " |\n", "flag_priorityinters#quarterly |\n", " 1 211 | -.5849193 .1813037 -3.23 0.001 -.940268 -.2295706\n", " 1 212 | -.4141957 .1812211 -2.29 0.022 -.7693825 -.0590088\n", " 1 213 | -.0034981 .181262 -0.02 0.985 -.3587651 .351769\n", " 1 214 | -.1374249 .1812201 -0.76 0.448 -.4926098 .2177599\n", " 1 215 | .1575023 .1812325 0.87 0.385 -.1977068 .5127114\n", " 1 216 | -.542192 .1812249 -2.99 0.003 -.8973863 -.1869977\n", " 1 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0.000 -1.590314 -.8783745\n", " 1 232 | -1.33531 .1816224 -7.35 0.000 -1.691283 -.9793363\n", " 1 233 | -1.151573 .181514 -6.34 0.000 -1.507334 -.7958124\n", " 1 234 | -1.142515 .181606 -6.29 0.000 -1.498456 -.7865738\n", " |\n", " 1.flag_seniors | 0 (omitted)\n", " |\n", " flag_seniors#quarterly |\n", " 1 211 | .0354279 .0445563 0.80 0.427 -.0519009 .1227567\n", " 1 212 | .0099189 .0445316 0.22 0.824 -.0773614 .0971991\n", " 1 213 | .0114866 .0445317 0.26 0.796 -.0757939 .098767\n", " 1 214 | .0526222 .0445891 1.18 0.238 -.0347709 .1400153\n", " 1 215 | .0376773 .0445627 0.85 0.398 -.049664 .1250187\n", " 1 216 | .0521904 .044572 1.17 0.242 -.0351691 .1395499\n", " 1 217 | .096179 .0446128 2.16 0.031 .0087394 .1836186\n", " 1 218 | .0353396 .0445595 0.79 0.428 -.0519955 .1226746\n", " 1 219 | .0623594 .0446021 1.40 0.162 -.025059 .1497778\n", " 1 220 | .0326687 .0445695 0.73 0.464 -.054686 .1200234\n", " 1 221 | .0430863 .044589 0.97 0.334 -.0443065 .130479\n", " 1 222 | -.0014341 .044548 -0.03 0.974 -.0887466 .0858784\n", " 1 223 | .0937692 .0446998 2.10 0.036 .0061592 .1813791\n", " 1 224 | .0546061 .044629 1.22 0.221 -.0328651 .1420774\n", " 1 225 | .039451 .0445714 0.89 0.376 -.0479072 .1268093\n", " 1 226 | .0283396 .0446264 0.64 0.525 -.0591265 .1158057\n", " 1 227 | .0491418 .0446799 1.10 0.271 -.0384292 .1367127\n", " 1 228 | .0071739 .0446977 0.16 0.872 -.080432 .0947797\n", " 1 229 | .0600659 .044799 1.34 0.180 -.0277385 .1478704\n", " 1 230 | .0852189 .0448203 1.90 0.057 -.0026272 .173065\n", " 1 231 | .0689439 .0448014 1.54 0.124 -.0188652 .1567531\n", " 1 232 | .0317509 .0447784 0.71 0.478 -.056013 .1195149\n", " 1 233 | .0229691 .0447233 0.51 0.608 -.0646869 .1106251\n", " 1 234 | .0004668 .0447088 0.01 0.992 -.0871609 .0880944\n", "------------------------------+----------------------------------------------------------------\n", "W |\n", " personsinjured | .2190278 .0336343 6.51 0.000 .1531057 .2849498\n", " e.personsinjured | -.2199309 .0390275 -5.64 0.000 -.2964234 -.1434385\n", "------------------------------+----------------------------------------------------------------\n", " /sigma_e | .8593726 .0031355 .8532491 .8655401\n", "-----------------------------------------------------------------------------------------------\n", "Wald test of spatial terms: chi2(2) = 57.46 Prob > chi2 = 0.0000\n" ] } ], "source": [ "spxtregress personsinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe dvarlag(W) errorlag(W)" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "progress : 9% 18% 27% 36% 45% 55% 64% 73% 82% 91% 100% \n", "\n", "Average impacts Number of obs = 68,400\n", "\n", "-------------------------------------------------------------------------------------\n", " | Delta-Method\n", " | dy/dx Std. Err. z P>|z| [95% Conf. Interval]\n", "--------------------+----------------------------------------------------------------\n", "direct |\n", " flag_LPIS |\n", " 1 | -.0617799 .0169117 -3.65 0.000 -.0949263 -.0286336\n", " |\n", " bike_route_tv | .0287256 .0224962 1.28 0.202 -.0153661 .0728173\n", " flag_street_improv | -.0692373 .0424901 -1.63 0.103 -.1525163 .0140417\n", " flag_left_turn | -.2973781 .048358 -6.15 0.000 -.3921581 -.2025981\n", " |\n", " flag_school |\n", " 1 | .063293 .0733947 0.86 0.388 -.080558 .2071439\n", " |\n", "flag_priorityinters |\n", " 1 | -.7372484 .1265863 -5.82 0.000 -.9853529 -.4891438\n", " |\n", " flag_seniors |\n", " 1 | .0406902 .0311751 1.31 0.192 -.020412 .1017924\n", "--------------------+----------------------------------------------------------------\n", "indirect |\n", " flag_LPIS |\n", " 1 | -.0153102 .0050135 -3.05 0.002 -.0251364 -.005484\n", " |\n", " bike_route_tv | .0071187 .0057416 1.24 0.215 -.0041345 .018372\n", " flag_street_improv | -.0171583 .0109783 -1.56 0.118 -.0386753 .0043588\n", " flag_left_turn | -.0736957 .0184385 -4.00 0.000 -.1098344 -.037557\n", " |\n", " flag_school |\n", " 1 | .0156851 .0184146 0.85 0.394 -.0204069 .0517772\n", " |\n", "flag_priorityinters |\n", " 1 | -.1827036 .0462929 -3.95 0.000 -.273436 -.0919712\n", " |\n", " flag_seniors |\n", " 1 | .0100838 .0078826 1.28 0.201 -.0053658 .0255333\n", "--------------------+----------------------------------------------------------------\n", "total |\n", " flag_LPIS |\n", " 1 | -.0770901 .0212116 -3.63 0.000 -.1186642 -.0355161\n", " |\n", " bike_route_tv | .0358443 .0281112 1.28 0.202 -.0192526 .0909412\n", " flag_street_improv | -.0863956 .053081 -1.63 0.104 -.1904323 .0176412\n", " flag_left_turn | -.3710738 .0620763 -5.98 0.000 -.4927411 -.2494065\n", " |\n", " flag_school |\n", " 1 | .0789781 .0916187 0.86 0.389 -.1005913 .2585475\n", " |\n", "flag_priorityinters |\n", " 1 | -.9199519 .1612878 -5.70 0.000 -1.23607 -.6038336\n", " |\n", " flag_seniors |\n", " 1 | .050774 .0388725 1.31 0.191 -.0254146 .1269626\n", "-------------------------------------------------------------------------------------\n" ] } ], "source": [ "estat impact" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "spxtregress personsinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe dvarlag(W) errorlag(W)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "spxtregress personsinjured i.flag_LPIS $time_variant_var $time_var $time_trend, fe dvarlag(W) errorlag(W)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Stata", "language": "stata", "name": "stata" }, "language_info": { "codemirror_mode": "stata", "file_extension": ".do", "mimetype": "text/x-stata", "name": "stata", "version": "15.1" } }, "nbformat": 4, "nbformat_minor": 2 }