diff --git a/.gitignore b/.gitignore index 2ac8723..857445f 100644 --- a/.gitignore +++ b/.gitignore @@ -63,6 +63,8 @@ venv.bak/ /data /assets /test/data +*.zip +/raw #WandB /notebooks/wandb diff --git a/Demo-notebooks/demo.ipynb b/Demo-notebooks/demo.ipynb index 6e8a9c8..089445e 100644 --- a/Demo-notebooks/demo.ipynb +++ b/Demo-notebooks/demo.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -12,17 +12,29 @@ "import torch\n", "\n", "# Check if GPU is available\n", - "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")" + "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", + "deformation = False" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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EIx7R8VnU8/eqV70qLBQK4X333dex/bLLLgsBhLfffnsYhmF47733hgDChz/84WGz2XT73XzzzSGA8Nprr3XbXvva14YLMclf9KIXhfl83tlQExMT4Sc+8YkwHo+H73rXu9x+999/f5hMJsPXv/71HcfPzc2Fa9euDS+88MKOMgF0vPNhGIYf+tCHQgDhz372M7cNQDg0NNTRN4ZhGJ5zzjnh+vXrw5mZmY7tr3vd68IgCNz+559/fnjKKad0vcZ+y+p3bBaGYXjeeeeFhx9+eNfzhuHu74APfvCD4djYWMd3xQknnNDRpxHe72uuucZte+xjHxuuXr06nJubc9uazWZ44oknhuvXr3fl8tl9zWte01HmRz/60RBAuGXLlp51PhCw8D1j0YSeVfLWrl2LVCqFkZERXHjhhXjUox7lXDo1N9xwA1KpFFKpFA4//HB86lOfwr/8y7/gvPPO29dVNwxjkVx99dXIZrN43vOeBwAoFAr467/+a/z0pz/FXXfdtehyzzjjDPzqV7+a9/Oyl71s3r7PeMYzOv4/6aSTUK1W560KevbZZ2NgYMD9v2bNGqxevbojLKXZbOKSSy7B8ccfj3Q6jWQyiXQ6jbvuugt//OMf+zo3AFfmz3/+c8zOzuI1r3lNZJ6Vu+++G3fccQf+5m/+xtWBP+eeey62bNni3M5vvPFGPOlJT+rI3ZdIJObNsBnGgcDnPve5eX3AL3/5y3n79fNuk376i9/85jd4xjOegbGxMSQSCaRSKbzwhS9Eq9XCn/70p47j165di8c85jHzypTn/va3v42HPexh8xaDkVx//fUYHh7G05/+9I4+4JRTTsHatWvdioM33ngjALj+glx44YVIJvc84KFYLOLtb387HvrQhyKZTCKZTKJQKKBUKnn7wOc85zkd///iF79ArVbDhRde2LH9sY99rAttIddffz1OPPFEnHLKKR3XfM455yx6lUXDWAhf+cpX8LjHPQ6FQgHJZBKpVApXX32191n3cf311+Pss8/GIYcc0vEMP+1pTwOwyztGct5553V4euoxw2Khl2IqlcKqVavw6le/Gs997nPxoQ99yO3z3e9+F81mEy984Qs76hoEAc4880zv+6b7mRe84AUAdvdD5IlPfCJGRkbc/9VqFf/93/+NZz3rWcjlcvPGNdVq1YUtPuYxj8Gtt96K17zmNfjud787b8XAhZRFeo3NevHDH/4QT37ykzE0NOS+A973vvdhcnJy3tiyH0qlEn75y1/iggsuQKFQcNsTiQT+v//v/8PmzZvnpX7Y02tY6Vj4nrEoSqUSJicn8fCHP7xj+w9+8AMMDQ1h586d+Ld/+zf853/+J17/+tfjqquumlfGGWecgf/zf/4PWq0W7rrrLrz3ve/F6173Opxwwgk444wzlupSDMPok7vvvhs/+clP8JznPAdhGDpX6wsuuADXXHMNPv3pT8/Lm9QvQ0NDfSc4Hhsb6/if7tOVSqXrftxX7vfmN78ZV1xxBd7+9rfjzDPPxMjICOLxOF7+8pfPK6+fczMXzPr16yPrz3wPF110ES666CLvPlzGfnJyEmvXrp33uW+bYax0jjvuuL76gX7e7ah99Tt7//334/GPfzyOOeYYfPzjH8eGDRsQBAFuvvlmvPa1r11Uv7Jjxw4XBhLFtm3bMD09jXQ67f1c9gHA/Hc+mUx667JQXvCCF+C///u/8d73vhennnoqBgcHEYvFcO6553rbU4cVsX5SOCd627Zt23D33XfPW42Z8JoNY1/wta99DRdeeCH++q//Gm9961uxdu1aJJNJfOITn5gXphvFtm3b8M1vfrPvZ7jf8cpCyWazLoXK1q1bcfnll+Paa6/FSSedhHe84x2urgBw6qmnesuIxzt9U3x9CvsdvufE1w80m038y7/8C/7lX/7Fez62zTvf+U7k83l8/vOfx1VXXYVEIoEnPOEJ+MhHPoJHP/rRCyqL7Ek733zzzfjLv/xLnHXWWfjUpz7lcoV94xvfwIc+9KFF3aupqSmEYegNwzzkkEMAzG/TffWsrBRMlDIWxbe+9S20Wq15iSdPPvlkl3/gKU95Cs455xz827/9G172spfN6xSlEXraaafhtNNOw8knn4zXvOY1+O1vfzuvszQMY//y6U9/GmEY4qtf/Sq++tWvzvv8s5/9LC6++OJ5+V+WM5///Ofxwhe+EJdccknH9omJCQwPDy+4PC6tvnnz5sh92Ee+853vxLOf/WzvPsxlNTY2hq1bt8773LfNMIyF841vfAOlUglf+9rXcPjhh7vtv/3tbxdd5vj4eNc+AIBLZvud73zH+zk9wWiobN26FYceeqj7vNlszjNqFsrMzAyuv/56vP/973eGLLA7944P7QHK+vkWqdm6dWuHt9SqVauQzWYjBQCdv8ow9iaf//znccQRR+C6667reI5rtVrfZaxatQonnXRSh0eShILDviYej3cI+E95ylPwqEc9Ch/4wAfwN3/zN3jIQx7i3qevfvWrHX1bFOxTpDjCsYYWTHQ/MDIy4ryAXvva13rL54qAyWQSb37zm/HmN78Z09PT+MEPfoB3vetdOOecc7Bp06YFlbU3+NKXvoRUKoXrr78eQRC47d/4xjcWXSYnOLds2TLvMyYvt/6uExOljAVz//3346KLLsLQ0BBe9apXRe4Xi8VwxRVX4Pjjj8d73vMefPe73+1a7tFHH423ve1t+MAHPoDrrrsOz3/+8/d21Q3DWCStVguf/exncdRRR+Hf//3f531+/fXX4/LLL8e3v/1tnH/++fuhhosjFovNS1T5rW99Cw888AAe+tCHLri8008/HUNDQ7jqqqvwvOc9zxvCd8wxx+Doo4/GrbfeOk8M05x99tn4r//6L2zbts15HbRaLVx33XULrpthGPPhOyr7gTAM8alPfWrRZT7taU/D+973Pvzwhz/EE5/4RO8+559/Pr70pS+h1WrhtNNOiyyLk39f+MIX8KhHPcpt//KXv+xdHGIhxGIxhGE4rw/893//d7Rarb7KOO2005DJZHDdddd1iOy/+MUvcN9993WIUueffz4uueQSjI2N9TQqozzfDGOxxGIxpNPpju/lrVu3zlt9D4h+/s4//3zccMMNOOqoozrC1/YE6RHDxQ0WU8YVV1yBs846CxdffDE++clP4pxzzkEymcSf//zneWG3UXzhC1/AG97wBvc/F1XptfplLpfD2Wefjd/85jc46aSTIj1ANcPDw7jgggvwwAMP4I1vfCM2btyI448/flFl9SLqnsZiMSSTyY4J1Uqlgv/4j//ouwxNPp/Haaedhq997Wu47LLL3H1tt9v4/Oc/j/Xr19vCXgoTpYyu3HbbbS6Od/v27fjpT3+Ka665BolEAl//+tedV0AURx99NF75ylfiyiuvxM9+9rOeYXkXXXQRrrrqKnzgAx/AhRdeuKI8LgzjQObb3/42HnzwQXzkIx/xDk5OPPFE/Ou//iuuvvrqRYlS09PT83IEALsGAI94xCMWU+W+OP/88/GZz3wGxx57LE466ST8+te/xsc+9rGu4XfdKBQKuPzyy/Hyl78cT37yk/GKV7wCa9aswd13341bb70V//qv/woA+OQnP4mnPe1pOOecc/DiF78Yhx56KHbu3Ik//vGP+N///V985StfAQC85z3vwX/913/hiU98It73vvchl8vhiiuu6Fg+3TAOFDjm0Bx11FE9xxuL5SlPeQrS6TSe//zn421vexuq1So+8YlPYGpqatFlvvGNb8R1112HZz7zmXjHO96BxzzmMahUKvjxj3+M888/H2effTae97zn4Qtf+ALOPfdc/P3f/z0e85jHIJVKYfPmzbjxxhvxzGc+E8961rNw3HHH4W//9m/xz//8z0ilUnjyk5+M2267DZdddtker0g3ODiIJzzhCfjYxz6GVatWYcOGDfjxj3+Mq6++um9P0dHRUbz5zW/GpZdeipGRETzrWc/C5s2b8YEPfADr1q3r8Hp/4xvfiP/8z//EE57wBLzpTW/CSSedhHa7jfvvvx/f+9738Ja3vMUJdA9/+MPxox/9CN/85jexbt06DAwMzFsN1TA0P/zhD7Fx48Z5288991ycf/75+NrXvobXvOY1uOCCC7Bp0yb84z/+I9atWzcvJ2bU8/fBD34Q3//+93H66afjDW94A4455hhUq1Vs3LgRN9xwA6666qoFjx+YCuUjH/kInva0pyGRSCxKjDnzzDNx7rnn4pprrsE73vEOHHHEEfjgBz+Id7/73bjnnnvw1Kc+FSMjI9i2bRtuvvlm5PN5fOADH3DHp9NpXH755SgWizj11FPd6ntPe9rT+kqr8vGPfxxnnHEGHv/4x+PVr341NmzYgLm5Odx999345je/6VaRe/rTn44TTzwRj370ozE+Po777rsP//zP/4zDDz8cRx999ILKWggPf/jD8bWvfQ2f+MQn8KhHPcp5m5133nn4p3/6J7zgBS/AK1/5SkxOTuKyyy7zrqz38Ic/HF/60pdw3XXX4cgjj0QQBPNS2ZBLL70UT3nKU3D22WfjoosuQjqdxpVXXonbbrsN1157bWTe0YOW/Zll3Vi+6JVw0ul0uHr16vDMM88ML7nkknD79u0d+3OVmx07dswra9u2bWGhUAjPPvtst+3www8PzzvvPO+5r7jiihBA+NnPfnbvXpRhGIvmr/7qr8J0Oj3v3Zc873nPC5PJpFspDnth9b1DDz3U7RfVz7C/kivRRZ378MMP71hRZ2pqKnzZy14Wrl69OszlcuEZZ5wR/vSnPw3PPPPMjhVWolat8q24EoZheMMNN4RnnnlmmM/nw1wuFx5//PHhRz7ykY59br311vDCCy8MV69eHaZSqXDt2rXhE5/4RLeyIfmf//mf8LGPfWyYyWTCtWvXhm9961vDf/u3f7PV94wDhm6r7wEIP/WpT7l9+323F9JffPOb3wxPPvnkMAiC8NBDDw3f+ta3ht/+9rdDAOGNN97o9jvzzDPDE044Yd65X/SiF81b1Wlqair8+7//+/Cwww4LU6lUuHr16vC8884L77jjDrdPo9EIL7vsMnfuQqEQHnvsseGrXvWq8K677nL71Wq18C1veUu4evXqMAiC8LGPfWx40003zbvmXvj6sc2bN4fPec5zwpGRkXBgYCB86lOfGt52223zyu62ulm73Q4vvvjicP369WE6nQ5POumk8Prrrw9PPvnk8FnPelbHvsViMXzPe94THnPMMWE6nQ6HhobChz/84eGb3vSmjlVGf/vb34aPe9zjwlwuN28VP8PQ9OpD+L5/+MMfDjds2BBmMpnwuOOOCz/1qU+5vkLS7fnbsWNH+IY3vCE84ogjwlQqFY6OjoaPetSjwne/+91hsVgMw3D32OBjH/vYvLoCCN///ve7/2u1Wvjyl788HB8fD2OxWM/vdq6+5+P3v/99GI/Hw5e85CVu2ze+8Y3w7LPPDgcHB8NMJhMefvjh4QUXXBD+4Ac/mFfm7373u/Css84Ks9lsODo6Gr761a921yTrHzW2u/fee8OXvvSl4aGHHhqmUqlwfHw8PP3008OLL77Y7XP55ZeHp59+erhq1aownU6Hhx12WPiyl70s3Lhx44LLWsjYbOfOneEFF1wQDg8Pu3Ymn/70p8NjjjkmzGQy4ZFHHhleeuml4dVXXz3vXmzcuDH8y7/8y3BgYCAE4Pr9qLHgT3/60/CJT3ximM/nw2w2Gz72sY8Nv/nNb3bsE9W38trkd9CBTCwMPUuoGYZhGIZhGIZhLIJ7770Xxx57LN7//vfjXe961/6ujmEYXXjxi1+Mr371qygWi/u7KsZBioXvGYZhGIZhGIaxKG699VZce+21OP300zE4OIg777wTH/3oRzE4OIiXvexl+7t6hmEYxjLHRCnDMAzDMAzDMBZFPp/HLbfcgquvvhrT09MYGhrCWWedhQ996ENugQbDMAzDiMLC9wzDMAzDMAzDMAzDMIwlJ957F8MwDMMwDMMwDMMwDMPYu5goZRiGYRiGYRiGYRiGYSw5JkoZhmEYhmEYhmEYhmEYS46JUoZhGIZhGIZhGIZhGMaS0/fqe7FYbF/WwzAMA4tdd2FsbGwv18QwDKOTycnJRR9rYyjDMPY1ix1DFQoFrFmzBgMDA0ilUkgmbXF2wzD2nEQigVgshmKxiN/85jdd97VexzAMwzAMwzAM4yAkFoshmUwilUohCAIkEon9XSXDMFY4YRgiHo+j3W73tb+JUoZhGIZhGIZhGAcpsVgMiUQC8Xgc8bhldzEMY8+g52a73e5LmLJexzAMwzAMwzAMwzAMw9hjmLYgDEMTpQzDMAzDMAzDMAzDMIylJQzDvvLdmShlGIZhGIZhGIZhGIZhLDkmShmGYRiGYRiGYRiGYRhLjolShmEYhmEYhmEYhmEYxpJjopRhGIZhGIZhGIZhGIax5JgoZRiGYRiGYRiGYRiGYSw5JkoZhmEYhmEYhmEYhmEYS46JUoZhGIZhGIZhGIZhGMaSY6KUYRiGYRiGYRiGYRiGseSYKGUYhmEYhmEYhmEYhmEsOSZKGYZhGIZhGIZhGIZhGEuOiVKGYRiGYRiGYRiGYRjGkmOilGEYhmEYhmEYhmEYhrHkmChlGIZhGIZhGIZhGIZhLDkmShmGYRiGYRiGYRiGYRhLjolShmEYhmEYhmEYhmEYxpJjopRhGIZhGIZhGIZhGIax5JgoZRiGYRiGYRiGYRiGYSw5JkoZhmEYhmEYhmEYhmEYS46JUoZhGIZhGIZhGIZhGMaSY6KUYRiGYRiGYRiGYRiGseSYKGUYhmEYhmEYhmEYhmEsOSZKGYZhGIZhGIZhGIZhGEuOiVKGYRiGYRiGYRiGYRjGkmOilGEYhmEYhmEYhmEYhrHkmChlGIZhGIZhGIZhGIZhLDkmShmGYRiGYRiGYRiGYRhLTnJ/V8AwjOVDLBZbkmP25DjDMAzDMAzDMAzjwMBEKcNYBiy1sGPik2EYhmEYhmEYhrG/MVHKMGCi0P46Zk+OMwzDMAzDMAzDMFY2JkoZy4I9FSaWu4iynI9ZynOZAGUYhmEYhmEYhmEQE6UMx94QDJa7uLGc62ftYBiGYRiGYRiGYRxMmCi1DNlbhvxyFh7smKU913I+xjAMwzAMwzAMwzg4MVFqAeyJwb0UBv5yFh6W8zGLOe5AFKGWoizDMAzDMAzDMAzDICtelFqOYs9yFh7smOV9zL4sZ2+x3OpjGIZhGIZhGIZhrEz2qii13MSe5SgmLWdB5EA7Zk+O21vH70uWc90MwzAMwzAMwzAMoxd9i1LxeNxEoWV0jgPxmD05brmUbxiGYRiGYRiGYRhGf/QtSiUSiY7/TaBaPudY6nOZsGMYhmEYhmEYhmEYxp6ybEWp5XqO5X6MYRiGYRiGYRiGYRjGSuCAEqUWc4wJP4ZhGIZhGIZhGIZhGEvPkolSiz3GMIzlg73DhmEYhmEYhmEYxt5iQYnO+2GlG61hGO7vKhjGPFb6e9UP7XZ7f1fBMAzDMAzDMAzDWEL6FqUOBqMYOHiusx/2t0Bn9+LgotVq7e8qGIZhGIZhGIZhGEtI36KUcfBhopCxVIRhaKKUYRiGYRiGYRjGQUZ/MXmGYRj7kHa7beF7hmEYhmEYhmEYBxl7HL63v0O8DMNYebA/Yf/RarXMU8owDMMwDMMwDOMgY4/D9/ZHiJcJYYax99jfYZrtdttEKcMwDMMwDMPYy+jFyiwywViOrMicUvvbiDYOLhYjgtoz2j8UpExsNgzDMAzDMIzFE4/HEYvF3E8ikQAAJBIJtFotlzLDUmcYy4kVKUotJ5ZCfFjOAsdyrhvQn6DUbZ8wDJf9Na5kmODcvKQMwzAMwzAMY/HE43H3Q1EqlUohnU4jlUohHo+j3W6j2Wyi2WyiXq+734axPznoRSkpOPjEhyhBYrFCxUoROPZGPffFte6pN00vAaqf7b795Dbz+OkPKUjZTI1hGIZhGIZh7Bk+uyUejyOdTiMIAmQyGcTjcbRaLZTLZczOzqJYLKLZbJr3lLHf2ONE5/2wv4101j3qt/7b9/9CtvmQqrU+jh3A/m4niU5EvZD7z30Zw+zr3KKuNaqNWRbbkTSbzb5Cv+R19BKZ+hGnFlJGP38fSPT7rMiZGsMwDMMwDMMwFgcnewG434lEAu12G/F4HIlEAkEQIAgC5PN5xONxlMtlpNNppNNpzM3NoV6vo9FomDBlLDlL4im1P7yD6LIoz+/b1u/fixUQpEAjBRUprNA471eoWSkhg4xh3huhWYlEwsVF91u3fu4ZRarFiEqL/Yx/R+3fr0gmr2GlYV5ShmEYhmEYhrHn0JbhRD1th2QyiUwm0xGu12g00Gq1EI/HkUwmEQSBG4vTY8owlpoDJnxPC076h9vl/r7fRIsI3T7vVidCTyi+9D7Bq5u40G8YIcUu3/6yznsqZCzk+GQyiUQi4a6fwtJCO71kMjlvBQl2qMDCRKgooYyf9wrrlCzUK2ohYlU/YtZKxFbcMwzDMAzDMAw/MspGRttwDC3tSto2MgRPHp9IJJyzQLPZRLVaRb1eR61WQ7VaBQAEQeAmi2U5FtJnLAUrWpTyiU8+ISrKa8qHz0vFF/K1EJHKJ0D1KxD1qi/Q6XUlr1V/5it7IWF0/XwWVT/Wg+3J2OaFCBM+Lykdzkd81yVDEvU9YR0WIvj0c290faJ+8+9+xatu5awE+IVqX3KGYRiGYRiGsRsZYUObifZOo9EAsEtcYuJyClT8zb/DMEQikUAmk0E2m0Umk+mIZGk0GqjX607ECoIAsVgMrVbLiVYUqAxjX9K3KNVutxdkhO9LpGLczw/Q24NIejD1EjSi6sTPo8LtfB5R3c4l686/tYAjP/Mdo69f7yfpttLcYu65bPNkMtnRztJbqt+yqfLLjpZeUlH4xER20LKDlR5U8hnoJUZGbZN19gmYOg8Wr6dfzyn5O+rv5Yr0klrO9TQMwzAMwzCMpUQLUowUoc1DTyb+rYUoIifdmeQ8l8shCAKkUiln24dhiHq93pEmhTaSRTUYS0XfohTV2F5hcfsKvmS+pS75IwUaLcoQnXxbeu74RAotUnXzLuLn3eiVH0pfi69u8lp890DnX+omSEWJbf3eU5+XEtV2WVYymXRtJ++l/N1Nhdf3mx1wN08wSVSeJp6Tq1DIOvaaFejHey2RSMzz5mIIo/TOkufq5VXVjzC12MT5S/EuS7dgwzAMwzAMwzDm2zv8XwpPOqROjvdpc1CQ4t+xWAypVMqJU0EQAIBbja9Wq7nwv0QigWq1Os/xwTD2JX2LUgy18Qkmkn318EqxiYa+T4iSQocUpaThrkWZKG8a+Ztl9DrGV295XDcvKX7OHExyX59XiU90ozcRVfVuHmLSg2khKniUENTNI4yiFAU2KvwM4dubHjO9xA49i0ABR3b8FKh03Xp5zAHzxUKfwEhBTQtgUlyKWrVQC1Daw2q5reQoYdta6J5hGIZhGIZhRCO9mXSYHn9ow9GTir/pUMJ9GPZHO5FJzvP5vBOkZmdnUSwW3b7axjCMfcWCPKWivHi0QLUvhSmKLlqU4t8+UUq7NFKA0EnH9Tafp5SsS7d66lA4XwiX/ozXwM5CCiRSpPB5gelrT6VSHcJWVH3ZcUV97hOgeoX4+UQp6TEkr0P+3hudnq+MKPFDC0CsL/+Wsdqabu2l70273Xadv/QKC8PQiXP6S0bWW3tGaa8q33X08ujbX8gkjIZhGIZhGIZhdCJFJzm2lzmktFNBIpFAKpVyNiDtRylSVatVpFKpDueFXC7nwvm4MFWtVnP7mLeUsRTsdVFK/95bUKyRP71EKSkANJvNRau9UR5Tvv16/e0TbHzXKc+lVz2gOBd1bmB3x9SrI5EimPTg6Vb2QjonLUyx3lLsoWDlC2FbDL4cTEB3cUp26nsqmkS1Tz6fd/eWolelUnHPpl5BQ3pSyWvQHla9PP+WEyZKGYZhGIZhGMZ8dKoSYHeqGelEERW1Q++ndDrdEYGTzWadUMXQvDAMEQSBc2YAgFwuh2q16lbl25u2vGF0Y0GJzkkvYSrKi2mxSivjYKWA0k2U4rZMJgNglyHMl6uXwe7zlvLVR7KQHFPd/tdt1y2PlBStdEclE+LpfEa++lGQksJMVLifb1uvfFTSW4t/M5aZnkKSvS1I+TyMuF0KcTr5OTts/s1r0KF18jP5TIZh2CEwJhIJt3oGc1hJt1zpLaUFUH4m6+QTsrSXVi+WcvbDBCnDMAzDMAzD8KNtADk5Le1EoLdNmUqlkMlkXIietBuazabzpKrX64jH46jX624lvn7SlPjscNpVliDdWCh9i1IS6VkiFV2fp1S33/1AQYpCFMUWKUrJpNLSEyWfz6NeryOdTiMMQzQajT3yluK18/9e5ehOo9s1M7yLbpMUa+r1eodwo9vP1yFpjyTptSbvF5FLg/pYqEquPcu0J4+sjxZ7SFTbau+hfsL1tOCjXWFlHeUzxWvQYanaC1Bv1+3barU6nkveIykIsp78gtCrDOrr8uWl4rl0vZYLzWYTjUbDRClj2bFQD0Pfu7WcPRT7YSGTLYZhGIZhRKPtLmB+6pYoO4njZJ1+xleOttHa7Tbq9TparRbS6TSAXTamTBci80wxEqpWq6HZbKJer6NWq7kyogQqbfMwZJDeWFKU4t8+RwTDIIsSpSTaIF6oMNWPQJVMJjsedgpTAOaJU3LluSAInOHO41nPKO8e33Zf/iffsQvZB5i/5KduC9bT54njK4sihxZAtKcS/2cb8vrYPvqYbjmfFiJ8aCGnm0dYtzKici3xWfSFt3ULuaTXkt6uvyT0Z/2IktLrjuIUPdhSqRTq9brbX+e1ktepvaJkTDk9pOSX2HIzKNvtNhqNhs2aGMsKn3jeLcS6mxi+0uk2M8vthmEYhmF0R9pz0rbi2F5OUNNuk7YbPZYajYZLOC7LkueRtgHH2jwmnU47j6hKpeLOw0iidruNWq3Wke5FLkbFetO+BnYvfMb8U1ERGjwmHo+j0WigVqvtlbY1Dlz2WJTS8OXwCVRajIoK9dNQbJEvrjweQIfnCV90AC5xG1Vc3VHoZTWB3YPwhYTx+QyZqJdUtgVfWr0amayT9q7htWmxTCe4020u6+PzttIGWjdhRpcT5U3VTdiR18Bza28pLTjxnFJsksfJbXJf+ZmvjvRQo8DTD1HPqjw3n7tkMolMJoOhoSEAcK6yMqE9BVTfUq9alNKhfvrYpWAhgmSz2XS5swxjuRA1GaG3RT3r/eyzUgjDXclQtbfmQr3IDMMwDMPonNj3RYjQXstkMs7OlVEQTHkhIy5855Bjf+l4QRshkUg4oYlherVarcNWZm4paQdSNKOIxVA/elXRZpIpSWhr63HEYhwRjIOLvS5KSaTnhhQ5tBgV5T0VJaRQyNHiFF+geDzuchbRZVEKANrwl55eMoRK0svg0J9rryf9uVxhT7aXL18Qy+O18XMtVrFDk7mkpELPcogW0rpdY1T4n6/D7dZGuk3YTtqlMypvkmwjaTBJIVHfuyjvhighSz+n3UI2WX95P+Tzm06nnVDIv6WYynslw/FkPDbRz6p0u2XdeIy8luUAv1jNbddYLsh3Wb7fUSKV/E6QfWDURMpKFXHkdyhnN7l9pV6TYRiGYSwlcpVxOmnoSAF6NXHsL50OaL9RrJLjek6iE196kihHCYbR8dy0GXlOli+jG+TkOm3NVqvl0svIlDHay6rZbCKVSs2bXDcMH/tUlCLSy4UvRT/ClBQEfPtKoUWKVLHYriTnjUbDvbxSBKJBL5VlHQ4lDXz+7ifxuC+GOGp/dgRsI40UlKT4RjFGCk8yrFGKUTxe0ut/WX/Zpqyv9qzSbaA9l6KQ91K2hWwTeQ9kpyvFxX4EQ9mhR3lLaYFNCk26reR+8p7LmQzZhjJ8lH83m003K+K7VhmGyHPxudTiG5/P5djht1otl8/N2A3vMTHDf/8T1f6yL/D1eTrkbTGi8P6893ryR39mz6VhGIZh9EZPeLXbba/95JtclrYv03wEQdARBscxtRanfHmbuKKeHL9IeyGZTCKfz7vwPQpNMrqBNqacZG82m6hWq84WYSifFsjk2MLGEUYvlkSUkkivJCmu+AQpGvRSJKJHiBQFtEATj8eRTqfdC8ffMtRLilOyE6CLJLezY6C3lSRKgOoVLsdjpIDR7eWVbQN0z6Ml287XKcgy5W99HT5PtCAIvN4uUZ5t+jzaYJMeTjyXNO54nxuNRl9Cmvysm6ebPlaeU85U6OdTHusTI6MMVm7jlxKFw0ql0iFKSZFNekZJUVRemxam+sklFdVu3Y7rx8Dudnyj0TAvKYF0aeb/y8mz7WAkqh/mtm6TDVKM0t5UK2kQxvoyTF7msVhJ12EYhmEY+xM5ho+yIYFOsYh2lxab0uk0stmsC7urVqsol8sd9gPH2fV63dkNuh60I2jnplIpFAoFjIyMuBy3YRiiWq06gYv2Cp0HGPXBhYvK5bKzsaU9qqNc5G/DiGLJRSmJfEm0QS+FIhn6o71HJFoEkKKKjGuV3jUyhE56mUijgp2F9Fjx0c1w0aKU9PYB4FTqqJl2Wba8Rt9P1Pll3XQ5bAvtySUFsFwu5zq/btcuy/V5E/jaWt4r6Q3E44gvP5TvWZBCkwyJk0KT9iqSXwyy/eTz4rsu3333eVDxGYrFdrnC0nVWJyyPxXaHM1KYk15UPnR7LpQ9FUWijqcr73L04NpfaKHTWHr6HRzJ/lhOZkihSj7b+rPFisRLjZzl5GA1DEM3SLXBpGEYhmH0RnoLyYTgGobOZTIZBEGAbDaLdDrtbFbaAfwsmUy6ZOEUuWg7MZyuUqmgVCqhUql4U+hImy6dTiOXy6FQKCCTyaBer7t96ZwhbXNOrkv7cG5uriNHrk5JIsMFDaMX+1WUkkQJVIxrpRDi8zjyCVVc4rJbaJX8rZOK0wDR4WFRXlCSbp5JvFa9TZYRJSxJfEKU7DQkMgRPX7eMJ5YhZj4PtGw2i1QqhUql4tpcJ2fnPZOdEwUY2UH6crTQGKKIEYahU+9rtVqHESgFS4m8b/xfd4zS80i60ErxTHrQ6eTn8jnyPY/6HjGPlExQz2v1XZN+VnRnHhUvvhjDcV97c3A2xdhNN/HZ2L9067t93wnsIykW63eplxfcchF7ZD9Ibyn+tvfXMAzDMHojv9NlBIa2b2kj5XI55PN5Z19Ju4uhd+l02iUal6la0uk0giBwQlar1UKpVMLMzAzm5uacgMWQu3w+7ya94/G4E7ooUHGSnFExHNfQO0quvtdsNpHP51EsFlGpVDo8qWROqkqlgkqlgnK5bBETRk+WjSglkQIVPS10CJcOmdDeUT6PHAlfIF8eHimsyJnvfsUiLVL4hAP9W7tr6rrq8nWonvS+kOFnsk2iPHtkp8Rrl20q1fFEIoEgCDoMNXlt7Hy5fyy2K9m33F+6k8qcXvK6KCLRCJSJAHke6VHEsvV9l3HT7EjlffetNKV/Sw8u3it5X3p5zsm6SUFJegNKDzafJ5fPa0wity9U6PDtvzeMZelSbHTi8/gz9g+93hfZN2uvKPYf2vOV/ZjPi4p/+9ifYqXOncj+uF6ve/t7wzAMwzB2o8d0crJeTvJTVGJoXhAEaLfbzjtZ7ydTPtAmo3CVy+WQy+UQj8dRq9VQKBQwPT3thKBMJoPh4WEMDQ11OAnQpqKnk1yUiXWnc0ChUHCr89VqNdRqNQwPD6NaraJWqzm7T4pXjUYD09PTmJiYcJ5cvigVwyDLUpSScJCsDVspJsmBPgUGChraEODfDE9gWVHhUXLFO/6vvY0Av6eTFBt8xogWEnzhbvI82jvKl5NKilK++ui2ZfI6umLKmX3pLSVXjaNir69d3g+ufthutzvUf6rnRAtPPD87XHo30XtKXoecSZAz/RK2BztWubwqvaH4v7zf8XjnylP8Ldtbe2Vp5P7tdhvVahVBEDihJhaLIQgClEqleUZoL6FIe2jIz/fEcPQ9Iws9Rm6v1+uLrsuBivYQ9Hl6GssHfp8AnZ5Pss8lUpiXIpVP1JL9ii53qZ8F9mP0Pq1WqwB2fU+WSqWei3IYhmEYxsGInOjv9v0oI0L4I50IarUaSqUSgF0he3JFdblQV6PRQL1e78hTm81mnSfU4OAgBgcHMTc3h0ajgSAIMDw8jOHhYSQSCdRqNdTrddTrdScWcT8AzkGBk/lyVftsNot2u42ZmRk0Gg1ks9mOyBuZ7Jx1bLfbqFQqqNVqXkcQwyDLXpSS3iMAvEa4fsBlbgwaxnz5OPinKMGVDCh6SYNRCk2sQ1ROH1+eoSivKFmevsZuoWA+zyWWq88hO0dfnXkutp1U4rXXlYxxlh5HbGPWj/tJzyK6jzKnkmx3WW9uZ92kwMWcYlwVQnobaW8raQTKEEG9v36O2IFKDy566HFf7QVHUSuqbblUqjwf3Wb5U6vVEIvFOjprus3y3HJFDfmcSsGOXyqcAZGGrvwt6+j78ux3Wz+fmyjVHf2cG8sDLQizr5PvFWcypeisRSrfd5X0uorybvR51u5rpMjN/kTmltgbgrdhGIZhHEhI28/nsCD3YXhbJpNBKpVyk++0TxnmxhX36LXEXFNyHCKdE2i/MMwvm806Gysej2N4eBjj4+MYGhpyk07FYhGlUsl5PdG2kCGDnDxvNpsoFosdjg/NZhPlctmlVqGNB8ClXKnVau6agM5JfxOmDB/LXpQC/AN2GgbSg4rGfzKZ7AjTkktcAuh4KfiZNhC6rY4ljRFplABwx/XzwsnZdBnKpYUxKUix3G55PnSomK++2quKIW5EXj9ptVqoVquu3lyhiR0SOzDpsUYRia6iLIceUhRWpDecXlaUnkXSWNJ1094nrIMULuU2PivcLvNN6bBRnahbri6hkaIkf/N5bLVazi221Wohn8874UleFw1DKZjKdtQ/rCNnT/aks4/y5Ou170I+M3ZhbbT88H3XSLFcIvsXPQmhvVz1/7ocH/vDW0p+Z+6vehiGYRjGckWnTaGHkMy5pCNwpL3HCX6KUhSKuOodo1eYAJ2pZGq1mguX4zifUSz1eh3T09POLuYqfel0GiMjI86TipPltMPk5DFFs2w2i2w26xw6+DM3N4dYbFdKllqthqmpKXdOOjAAcIIVE67z/yj7zTDIihOlorZJ7xY++KlUyhn8UniShoIUHaQ4RHxJreUMuBar5DZfvaOuQSrg8ocCjfQkknXhcTpXkQzH0B4+sq4MU/N5OrGzZEfLzk8KcLqu3Mb2l55HMs641Wq5sD65hCnL1wJNs9lErVZznkA6V4u8ftm+2ptOClOy7SjyybaU9ZDiZ9TSrvK8bG8KczT29KqCbHufKMVt/F8KZlJI4/PN2YnFGpH9CFImRBkHKt28B7UHrA7h498sR/5eiNC7HJDt4POyNAzDMIyDEWk78TeFpkwm4wQkkkgkUK1WXfgax+rA/EWbaGfEYjHnUZXNZp2NQFGKnlWciKZtRTuBk9Q8L+tYKpWcx5V26NB1pmAmnTjoRSXPXyqVnB3DCB7a3UyCTrGN5zKMKJa9KNVL2Ik6RnvYSC8pKTjws6jwCSkEaYFK78+XTXr8AH5jRYbI+cI1KCbpF1lul2KMz/DRhoU8N8ujWEQXTemVxWNk4judgFy2jYw9ptAj60YRSq6EJ8Uz2W68Pnn/tMeQvNdR3lMUdeT9kvvpzliKcexkdeiNvs/yfFIYZPnSA06HGiaTSZe/hcKpFKB4zXJWg8+EDOvTwtWeYAaocTCi+1AZjif7Kd+EyEI8oJY7UWGFhmEYhnEw0svpQIbo8TfH+UyPIm03TiZL2yQMQ2cnAbs9ruSKezIypdVqoVarOVuTYhK9nTKZjPNY2rx5MyYnJ912aZ/SC4t1YYJ0KbxlMhknutEG4bmkdxbtFnp+0Q7XDgKG4WPZi1LdoHhCKABIIUcKARLpBUMvHxkqB/hX0tPbo8L6dIJ0or2L5Cy073/AbyRoISoqxFHjM6CkMCY7DralFEFkXhVffXxCkOyceSw7VF++EilI0TOK+8tzSOFHtoe8bu0+67tuKcJRUNMec74cXjrM0Je7i+1FIY/GLb3FeL5MJrOo0Lt+DF/t7dDN0FyphrRh7Am6P5ercmqxSvbTUf3hgYL1B4ZhGMbBjpxgBnaPEbSdwzA2KfrQ8ymXy7mJdT3BzgTo+XzepUaZm5tDq9VyK+uxbOZ7AjonuJk4nfZnJpNBPB5HsVjE3NwcyuUy0um0S1jORat0fmUthDFKBkBH2pV4PN6xqBU9txhiKHM5S7vKhCkjimUvSkmxoxcyLxOwO8eURgpSwG5xi4KRz4OJ5XN/7U0k96WAoevT7Rj5P40cLTppQanX8VEGkg5H8cFrpKdQtxxWwG7xRf9mu+rrluFnUrCSApP2BuN5tHDGa/KJUlHX5ms/HbZJGHqnr1cnHZdx2hItCkkRi+3ruw8+zzpZDy1u+p5Z33UahtEb+d3j68vlb/33gYaF8BmGYRgHMzptiBwbxONxl6CcohTTjsiFoTjm52cyt60M12u32ygWi07kofgjxyAUqXK5HLLZbIfTA+sm7S/pxUQhivWk9xaPZ1n0hGIOLNqDtGsymYxL88LcUxSlZISHjq4xDB/LXpTy0SufD9ApTOhwLSrB9F5hkrooQUqLUdymY4ulMOATYnxl6vrJ69Dhd1FGT9Q5iBZF5DYeJ69bXiPbiSq+3OY7j8wdFSUeyVBEfq5zPsn8SjKPkhSptIglhSkZJifFR9n2ur20txOfCb2KH41T6SnFxPDMHyWXkJdIQYpx2P3mpyK8Jn3f+zWKD1SvDsNYKL6JAPaH2vtT9xUm0hiGYRjGwYEeE0gvqXQ6jXw+j8HBQZe3iSvQyRXegyBwtkM6nXbRIPF4HPl83olLzAdVqVTc8dLOoGBUKBRcInPaK3JhKEZk8LwyvQo/oyhF20QKSbFYDI1Gw60UzrDDarXaEZbHNtGLLkkbqZutYxjAChGlFjr4ly+J9kKR3jfAbnGJQhLQXbzQopVUpmV5Mv+U7ziJ3qbDQqJm5X1hWT5RThteUefXIof0KJMuqTJEEpgvqkmDjugk51oY0Z29zKWkXV3lvrKe8r7Ka5NeT7pT1Neqr0O2m6yzvC/Sq0smNPcl9pP1bzQaiMViKBQKaDQaHWKWvjc+Lw3f/fM9S1F086YzjIMBKcjL95j9hhbW+b4cbDN+JsAZhmEYByvaRgF2r1hLb6VCoYCBgQG3yBNFHOZW4vdoKpVyScPl5DQFKXlOncOXOZpYTjabxeDgIPL5vBOQKArJvLdBECCXywEAqtUqyuUyqtVqR7QKz8fJdaBzMSzWv9lsolKpuHMwVI//SycD7XBgNofRjRUhSmmkQq3xhXlxX5kwGthtkHTLJaWFJekdJT1UZDmMw9UikE9M0N5Lsl5ydl7mT9JeVv0IXVpIkdulmKF/81zSY0l2Tto7iUq9rFcqlXKCi/R+kueQQpUUmKShKHNKaU8peY/kdfXyROrVUcr7oEUptgO/mKSgJgU9HVMtr4uCH5du5ayJvofyevTqj/rHMIz+ke8v3eqlWAXsXvBC932GYRiGYRy4aEHKF2nC3EvM+SSdBjiml95F6XTaCVMMjeOK8bQDKFDRjuFkvba/OInGH4bU1Wo15xUVBIHLOUXngHK57LyleC6KUbL+Uoxi/ZgMnSsCysTm0oaRIpvZJ0YvVoQopb1u+g13kmFVPgNCJoSLyumjQ/S0NxVfOilsMeFdN68VHQrie1llnbQoshC0p5TPg0uKOfqa+bcMT9PtKf+Xogu9DehGqjvVKLRwo72keE7tJeYTaLTXmqyz9prjuWXbyU5VtiPLkAKbjBnn9Wq3WBneyE4e2P1lIOGXhS9cUouJ3TzxzIA2yGL7keXMYp5xef26n9HvlewfAROkDMMwDONgwDe+kGP6er2OSqWCUqmETCbjJuL1GIuhbbVaDZlMxuWfYi4qelZRKKLAlU6nEYvFUKvVAOyyUeiZNDMzg3Q6jVqt5kSxbDbr7Il6vY5SqeQiObhvpVJBuVxGvV4H0Ll6YDabdTmsaNPI5O0MLWTuKIpRMvSP7XYgjTONfc+KEaV89PIQksKQFiCA3aKU7xifl432wpGiFvNSRdWrW32jQurkC819KHjxenwqtE7iLhVvLaZJEUVuB3Z7B6TTaeehU6/XXWelRRx9fVKck8uFStFGe65p8SnKg0u3nb5n3by/pEeW9DyTbanzXmnDVCfJ13WTMwvSO0x32K1WC8Vi0bn7anSnLq/TZzz7jjcD2iD6nToQng393klvpl7HcX+K5QA6vFz5jvGdkzOlupyoOrFehmEYhmGsPPQ4XI7ndRRHGIZuFT1gd7heIpFwIk46nUYmk3GiE1fKoz3B/2WoH/P6JhIJlEolVCoVzMzMdHhCFQoFDA8Pd0RetNttVKtVFItFpNNplEollMtlJ0rJSfZkMolGo4FqtequlzmFKY61Wi0nTFFo47l0eKNhLIQVI0r1O7svBQfplSKXugQ6BRMKMSzbJzJIbyh2CjKflM8zqp86as+lKI+ebteuP/f9lp2dT5iSYWgyOTjLZ0cjE+T5hBAt7IRh6FR0fk6RSkOBSns7+ZKVay+oKCEKmO9xxmvi/tL45H2WXy66HaQQFXV/ZJ3a7bZzy+VzqT2ohoeHMTU15VbCYL3lfdD/y3N1e/a6iQ/dQheNAw/5zMttwMoVTuS77BsU+UQ4GU5LsZz9Hwdd+hwM6+P/8ry9BL6V3saGYRiGcbAibQ5pHzDHE8f0cjyQTqed3ZnNZjE8PIxUKoVms+lssnQ6jcHBQTfZH4vFnKAlPaJ4DPednZ3FxMSEC6MrlUrIZrNuoi2TyQAAcrmcs1n5OcdKdBagbSGdApjYnDDEUNpwvjHQwZZv09i7LHtRSgsDgH+AHyWQaAWbSI8aXxJp6T2j80VpUUoeF3UN/K2Fol6igM9bqJ/PdEgh95dtwE6Gbp5yNTmdyFz+r0Ui+bn03vKtWEVXUWB30nmZZI/Lj8p2YzlU6aPEIy0W+WB9dPJx6QWhPaHksbL9tLeU9txim8pYbYp69M6Qy8FylkIj4719idzZVr53wIxgw8eBmBtJi05yoOR7P3z9JwVhHicHXNKjk7+jBKmotl2IALxcPNl0mxmGYRjGwYb+vpeeUgBcOBvH9hRu4vFdK+vlcjnnYRSLxZDL5ZDP5zEyMuISlbdaLeRyOSSTSdTrdezYsQPbtm1zxwwMDKBQKCAej6NarTrBijmpstksstmsC7cbHBzE2NgYMpkMcrkcGo0GstksAHTYXHKBKbkioLSZ9PiITgwLccowjG4se1EK8AtT/bwEciU0GdImXyTtYaOTmRPpVUSRoJeYFOUF1cszSuL7XNZVG1vynDJJHtGeN2wPCjE+AUon9NZlS4FOhgPKzkyuRKfFHJ3PSopl1Wq14/7Ltudv7c2krzOqXX3tRoFIJiSP8irRRq8UpPSzI0UvHi9nJ+T1RT0Tch+f8R11nb0MSTM0Dx60oL9chI+9hQ6x5v98T+Qsn+yL+D7q99j37tMNXy5q0I/AJ4WufjwUD6T7YhiGYRgHAtJWkRE42r5h5AO/y4MgcKvgUUhi4vFYLIahoSEEQeBEpVqthng87nJAcdU8AM4bKpvNuhxV2Wy2I3xvdnYW2WwWuVwOq1atQj6fR7VadbZxPB5HqVTqCMcrFosdNqCcENdOHqw/bWwiHT509IwUtwxDs6JEKZ/x3U3g0SFoQKeIogUoWb4MzeOLR2PEdy6fMBJVz27buuEzZLTQxWtikvduho3sXGhksSNhh8UfdnhSUQd2e6MRmShYCjOZTAaxWMwtVSq9krSAxaVTddI8ubqEFBR97eJLii5/S+8o7fkly2Q44UKIChfUYqYUtMrlcqRXltxf58vp9j4YhkY/UwcKvneF23U/oD1U9eCK77zeh32DHID6PGy7fRfo+vXj2XigCYeGYRiGsZKRk+pSuKnX685jijYE7aJkMolMJoNMJtMh8BSLRcRiMedNRU8pYFf43cDAAGZmZtwKdzx3KpXCwMAAMpkMkskkcrlcR54qJlDPZDLI5/NuVb5kMokgCDA0NIRCoYB2u41isYjp6WmXTF2nUpG2H+vdbDY7Fm4C0NEmcjVCpkpg22ghyzCAFSRKSfRAXosA0uuFx9MYkTGxUYaZDtmj1472YuF5dZiaJqq+C30htWjBjilqO2FnInNYyU6G7p9yFTrpESbbgR2J9CSS3lFS3IvH467j5ayBTiCuBZaottHX67tOuR/vuRS1tHcRV7ggMum5NmQXcq9kO/rqys6a9aQI51vlT6M9vHyfRdHNuNUeNMaBTT+eOisZKXL7ZuvYV8mwY933+ARvWa7PQ1KLyVGelLIuettyw/oEwzAMw+hEOjbQk6hWq2Fubg7pdLojHQjzSsXjcZeUHIALmaM3FMckzFUFwIlZiUQC9XodtVrN2bL5fB5BELhV8+h5xTIphvFcTLROcYq5p7hPo9HA3NwcarXavOgO2lPSnpRjJClI0W6WCdLppS5XHTcMyYoQpfpBixN8eYHOWW4dtqdFFGnYU4jhigc+QcpHNwMj6jjprdPvtUqBQs+80+OI16/D0OTx0ruJx3NJU2msybJ8gpAM9ZMdmPTGkl5ZUcaObAvptSWFE+0qqu8djUF5Lp8hKa/LlytLnl/WiW0cdT91WJBPmGTnLeO094RuYpX+2wxN40B7Bnz9m37ftQgt9+E7KVcE1WXL8Luo8+m6+DwjfYKXFrO47UC7T4ZhGIaxkvBNgLdarY5FjAA4calcLiOdTiMIAsRisY60MYlEAul02oXRVatVZ6swZC8MdyUb50IsnMyu1Wool8tO+KGtJhepqlQqbgU9bdNKLyspqsl0KLFYDLOzs+7cGp/9J7fLld1pS9GzysY0RjeWvSi1kIdXviS+DoReP/yfv6UgJUUrvlRyll2X201I8tUh6rp47l7ClOxEfCKE/l+Wp685StCS7cDOEEBHOJ32KNIhK9pAkys76LbRx+s8YFHeQTIUr9e18Bw6Llq3vRactDHK/X2eTRLZPlJU09dK4VPvtxB023TziDKMgwGfSK/fC58oJH+ihCG9nzyPPH83AUufw1dGN9HLMAzDMIx9h7a15OS1nAiXof9huGtBJzoFZDIZt69eTIphdAxvA4BisYh6ve5EKobRpVIpZDIZl/ep3W4jnU67cD1gl7dTo9FAo9FApVJBrVZDOp12aVM4xshkMhgYGHDjEHouUURiHVkXnStLe4QDnRFGtJ15TVyxnXWzsD0jimUvSpFeA/IoQ14b+zKvj/aWihKkfOGBQLQgpYUv/q29VHyiVS8PLHZssnxtMMkOxNc+WjX3eYBJQcgXViaNPt1hyf3YqTKeWItSbE+ZCJ3/6zJ1OJzPoJQdpPR2kGXE43G3Ah7387WDzrEl23qhwpE2YqVnhmzDqGeqn/PJdjHj1TjY8QlLUQI6ABdGK0Vu33skvS51HxTllejr8+W5uP9C+xXDMAzDMPY+cqJaOjDoCW35I20Y5nyiMATsDqED0BHiBgCVSgXT09NIpVIYHBxEKpVyeaGYsLxcLjvhS0LhirYThbFkMolarYZSqYR6vY56vY54PI5CoeBEMob0UTDisbxOJmL32Vwy/7DPbqYYJVf1s3xSRhQrQpTqNYMctT+FEP4t80L5wvi4ny+0TxscPqSXS9S+vcrodpzu+HzHhGHoOj/5mS7XJ5xpkUoKJ3Q31WEpsl20gQXACUN6OXUZMkPhSyY41+F9PkFKClDyHsrV+fSzwg6Uq2awLrL9pAGpwxr7FXu0kOk7VtaF97PfOGveE7a//MI0w/bgxQTJXUT11zrsV3ozyfxSRIvvvdo2yjXd1w/76tetfLuvhmEYhrF06EWRoqInKMToPJWDg4MYHBxEuVx2K9vRE4pCUjabRbVaRalUQrVaRS6XQz6fd4IWAJdLigJVLBZzuaR86U1Yv3g8jmaz6ZKpA7vGPhS5uMo5ADdZn81mMTg46K6FuamkLSRzQ0n7VI5rmBi92WyiXq935KQyDB8rRpSS4pBUZ/m53p/KLjA/cTn30S+R3I8r7UV5Lul8Q7566DoB/lAQeY1RxhST0EnxjMdJd1CZvLtXAnaJ9L7SRlq9Xkc2m3UdicyBpD2lms2mW22BswHa6ygWi7nOTIsq3F92qLL9tFeBvkcy+boMoeNnPJZfCOyEdd4o3Rb6XvUrjPoEVSkgMQkhkw5qt135JdftXFqYijom6vnqR3Q1jJWEr2/l9kwm4wZM2qvSN/D0vVN6MsCHFqTZ5+n+SQ7U9PedHgwahmEYhrFv0GN+fg8z1Ya0P+Sq7PQKYk5f5ocaHh7GwMCA81pqt9sIgqBjtbxSqYRyueySpGcyGRQKBWczVSoVzM3NIZlMuuTm+Xy+o57SRqbgRc8lmbpEOhnEYrvyXaXT6Y6Jbp4fANLptAvvo+1UrVZRLpdRrVbd2EXanHKiXS6kBSwsh7JxcLHsRamFDMa5H+NqCQ0AKXroMvmySddD7TmkvX98rp2+PCC+v/l/1P76t/YU8oUQ0njSoSJRieqkSKQVf5mEj8hwPtkGcoU7mSyPbUglHegU5Si66DaSYTZahNJiYlR70duK95IdsfaCkMKW9JzSX0ZSuOpHwIm67/K69OxGKpVyrrVRz1M/97HbsWbYHrjYvfWj3wO+y/yRuRaATrFdvp9RAvNCzi3LZl10eLA+xufxaRiGYRjGvkHbAZxMlxEZmUzGCUS0IZg3KR6Po1qtYmpqCqtXr0ahUMDq1atRq9VQq9WcoMXyKdxQsMrn8xgaGnIJyUulkhvrMwcVw/Vop8iJLa7WVygUnFMBE6dzQr5UKnWEElLkYqJyAO46aP/ISBSGIrL+sVhsXtoUPbEmxz+GoVn2ohTgF3MkUca3FEZ8oXUydIyxvToUTHdMPE6fK8ozRm5bqFHDDoD19OUw8YW5+Tx7dFv5xB5CQ63VarmOM5VKdRhSbBeZNJydDT0QGo1GR8gfFfkwDFGpVFxHJb2ootpN19MnqGnYUXJ/KZjJ9pLnlStv+drPR6/nU86isFyfsRoEASqVCuLxeIeo2u95SZR3H89tHLjoZ9butx85iJJ9K8V4Lu0svwei3nOf4N6tT5Ahg9rNXpahFz6Qxy01sn/v9l1nGIZhGAcS/H7WDg60aXK5nAupkzmUAGBychKbN2/G6OgoMplMR3qSUqmESqXixJ1iseiOAzqFomKxiFwu17Fid6lUQhiGLi9VJpNxYhSdC7LZLIIgQLu9a5U/uSIf7R3uGwRBx1iHYXfS/mP9a7WaE9Jor/jGBnJMZOlFjF4se1HKJzpoA6GbAeAL0aNA4etg+Lf0gtL/L+Sl4iy39vzpVo5PSNPXz6U1fWjDpZfXjs/riAYSw8q4gkSpVOpIgKdD87h6AwC3soRObs4Om52bvB/6OvT/WjT0tY08Vz8GnDYKATjvLn3vuiUjl+jwSt856cnFL7YgCBAEAYBdIZNSUOsH+cW5GOPVBIyVjbx/di+jke8zvUFjsd2r2wDoWCGG+7N/0uKTLE/2o93uRy+BS6I9TfcHHPjqVUkNY1/DJMH2zBmGsRRou5OOC/RaovBUrVY77DUKQjL1SbFYxObNmzE9Pd1hD8kIDSYgn5qaQiaTcZ5SyWQSY2NjbqKf52aepnK5jHa7jVQqhaGhIZcLis4AFJ3q9TrCMHR2BUUxaXekUilUq1WvZ3k6nXZtQg8r1kfbY3KRLNo5LKcf73Lj4GZFiVJy4C/RLpbypZK5kvQLRFGA3kD6pdExsP0ISv28cFHeVBQT9LVJwycqwbn+3+eNoz2o9HHaWwrYfd2yQ5T7SpFGCi1sYyk8sSPUBp/2VtKr7vGes3163Qf9DOi285UhQ2SkZ5oWp3QdNfIZ60eI1F4TemVF7uO7Rvm3Noit4zd8aHFjf3ne7G9kX8g+CIAT+7WXkvxu8HlD9Xpf5We+SQPdv/i+5+Tx3dgX91S2gw43NIx9iX2XGYaxlEihiRO9jKaJx+Mu6XitVkOj0UC9Xke5XHZhfK1WC9VqFa1WC+l02q2qR1sKgBO5OPlfqVQQi8VQr9exfft2xONxlMtlrFq1Cul0GsViEXNzcyiXy84Oy2azblXzarWKSqXihDEAKJfLKJVK7poajYY7NpFIIJfLIRaLzROl6DTASBgpyFF0YzQNQwk5LqBgplcU57hKOi4YhmbZi1La4yVqEBxluMtBvPagoiDFjkbvo8vq9ne38/cbBqaP852r39XZeok1PhGDRpiOCY7FYq6zY2ifr2yZi0uHoFDdlyp/N08xwO8RFyW86Hsddd0s1ydwUvTSYYXsWHsZYL68X75zS2SsdbvdRiaTQaVSQSqVcl92vuPkOX3J2bs9x2ZIHrzod8TnUXkwCFbyuhhSzFwQ+nP99560Sz/fLz4xO2pCpt/yu+3fzzXJ/UyQMpYSzvIbhmEsBbSHZEoXoHM1cYat0a5pNBool8tOtKJYFAQBGo2G8zRmGVLkot0VBAFisV3eSNu3b0epVMKWLVuQy+VcbieKRFxQqtVqoVwuO0+rWq3mvKwqlYoTx6S3FY/nmIJeXo1GA4lEAtls1iU+z2azHW3RbDZd5Iy0k2TbAfPHltIhxDCiWNailDTu5bZuyCR02nWQLwX3kUp4P2V280KJGtRTCZfJwH3H6lXkoryepJdXL6LaTgs7sdiu0BXuL91P2T5czdAnsskOR8+kswx23joZH6/d16np2flugpTexnbzGV3ayJT3t5c4ybL0NQLRIZ48txbbWAZjuuv1ujOQNf0Ym/0YrbI+xoFNlEgr3wMm2vT1Tz4x5kBC9nfSe9Mn3gO7+wrtmSuP2Rvvlk+M6lWmrONC+4B+y9deu4axFGSzWYRh6GbmDcMw9iWMkJD9jZyY5sp6uj+iQMOcutIrSnphU8yRofnSFmBOSyZKZ2oBCl4UprLZrDuW3lqVSgWlUgnpdLojxy+Py2Qyzs6gcNZut5HL5dwYiGkMmF9TOxlkMhlks1nUajWXE0t6V0k7T9rbB9oY0tj7LGtRCug/LELvL4/z5WjSXi1ysB0lOkm06OXbh+ehKBVVJt0ZtcLM+vjq5BPSolbZk8dE7SPD17RQw+uUHkPcR9aZP3IfdrLalZMdr17JQV+f9vzR4lIv0bKXoc120+0U9axx326DY/0M+kQ8DTtz6SKr27fXuXxCXbc6mmF5YCLfXyD6Xkth1Nf3LOR56nae5Y6vn9X9jBxUkqh9FzKJ0i9aRPJdQ9T+ewufqG8Yi4UrR/WaYJN53wzDMPYV2tbRaUXkYkUUa6TABHTaWfwe5qSX7MOkPUThCNg9QZjJZFzZzBvFScRUKuWifGKxmPPM4gJStVrNORrQKaBer7voIGnLMW0IQ/RYx3q97upN+4Tik8wpJcPxtE3M9ohyKDAMzbIWpXxCTb/HsGPwJTKX+2hRRZYDROeSYniVTxSRxk03zxr9supBv29Gult7RIlOwO7cWj4xzVdvec1SKZcGnM+A1Z0xOy6fMCOTm0tRSre3rlM3j6Be3iHagIw6Xj4j8jNeSzeBL6psAPNEAAm/JHwiar9Yh28Auw0+n3gqn2P5vEd55fTbB69EsUL2hdrLsdv19Jos0R5Fi30vdb+sz9+rjv3ck721j2EshCAI3BLl3Wi1WjbLbhjGPkd6FtF24XZgvn2hI1w4hqd9I0PzdNQOy5OT4+12G8ViEe12G9ls1olQtGVpMzFhOm2zUqmEUqmEarXq9pX5sHg9yeQuk5/eXMynzLoxnLBarWJ2dtYlUue5mN6gUqm4a4rH4268yeuWdLPXDEOzrEUpoP/BPF8cxr1KN0kpQGkxqptXTLe68GWPiqcl9H7Rx0rhQxuDPoEsSvzqhnablEaoXMVOe1XopL7Sg0nXSRtN9H7idQC7vYvoHSWNYpahjecoIUreP2lQLsZo8hl2Po8J2ZZyP14b0QJW1PmkoKXFLXbsuiPv11NlIfsbBw6+/sEnduvBUKvVcgOVbuJKP+Wt1GdOi8taqPMJ0PraAb9oHuV5thBkuf14K+2pENYNE6eMvYU02ro9V8xhslL7F8MwVg7ag0kj7SaKOuzD5MJO9Gbidq4gKvsxiljsC2k7VatVl85DfkZvKaZC4Wp61WoV1Wq1Y2U9AB32HQUkhvJlMhlkMhkXtheLxZBOp53DRa1Ww+zsrAvxk55gOvemtFn0ZL5hLIRlL0qRqEELhQkdbhYlanAQJBVun0gCzBePCFVm7qND+GSHwG0sXwplPgXZZ1Doa+F+vkEaO0GfmKOR+Z/kqnrSIPOJNFHeYz7vKdnOUZ5i2t1VlttNaNHilBaXJPK+RIlRso6yHWRoo0SHJPruZdRA2rcvv7z4uUws2C82K2FQ5NWze/K9phgl3xv9rvvoRxTRddHHLhd8xrAeZNFLw3esrxwp5utr31ti0d4oJ2qCw9c3Gsa+gB5S8Xjc69EJoGNmn2OJfvJpGoZhLBb9HS7HUDovMXM0MQ8UBRt6EAFArVbrsLP04kkUmygKhWHowvFYDle5o0Afi8Vc3imKUzKnE8tmaB4dDGQYXhiGSKfTCMPdOaqCIOhIZi7FL9kP8/wy2bscN1hfbSyGZS1K9TKw9cCZKjM9ptgJ6BA+ukByf5/o040ojwKWzTrk83lUq1UkEgmk02n3Yuv6SFFFGzPSkNTnk3WJErH0rH2UMcVVF9g5ybKl906/M/7aS8vnfi8VdS28yHpHnc/noSC3+/aN+rzb/rLsKM86beRFnbfbudvtXat5cDZDl9UNE6IMnzgi/9ZiczabRalUcjNkFNuliN7tXPK33q7Fq6h+bH8i607DmBMUeh/p+i7xeUz57oG+N/r8ev9u9e11X6KegSj2pWeVYUShJwF9jI6OYmZmBqlUCkEQuDCV5dSPGIZxYCAnyaV9Auz2apKJvCnqaFtSh7tRLPI5Mcj9pR3EnE70pAqCoOM3x2jJZNKlkqGdpfNf8jpYdy1eUezK5XIIggD1eh2Dg4OoVCpIJBIuzFrm1KJwxlWLZXkmRhmLZdmLUgvdv1veJl/YXL/n0wZGo9FANpt1HYJOiif35YAqCAKnastyaQz1Mlp0faLqrUPyiE5mHmVMsQxgfhJwGTMty/Xl7pIdYSKRcAp/rVbrOJbbomYnNEzMJ+usvzy6JUbtx1CT+cjkOXRIqE/oizqHFB+jnj8av9Ktl0mWu6Gfh+UoAhj7HimicGaN7td8//UiAqlUCtlsFu12G+Vy2S07LL0HtbjSTUDR4qt8r5fLMynfT7YN+yJ5vdwe5cnhE+fk+y37cl9+ClnOQgToftpQ7uebxJD3sZdgbhh7m0qlgqGhIaTTaZTLZWfA+UilUsjn825VqGKxuFTVNAzjIEE6FmibAkCHmFOv190EciaTceMrhtBJEYrbZK4nLmrEMYjOZUUPJNqIADrGKEEQuDpL25Z2A8d6yWTSeUrJcY0MCQyCANls1vWv3GdgYAADAwNot9uoVCooFosuyTmFKL1YhY0jjD1hWYtS3YhKfEmjXhrmfGll8uhu3k4sn9vkb0mlUkEqlXKigRYnSqWS63ik54E2BHyz6T4PhChD0HetGnaSOjZYtgk7TdnBUJln2+q6sGOj2ylnB9jBytX1stlshyjFc/kS/+lE3/p+ALsToPL6iC+3k77n2gjztXtU3iduY3trd1ldjka2nxYC5bMqv1T6jdGWz0G/+9uXyIGDfC+52gpdy+UzEY/HUSqVAGCewMvPZSipLD/qfL7nXwsf+xstRsn+JZPJOHd0OTiVg75eEwZRAo8WqNjf9vKO0mX4xK9u19lLcOr33IaxL5iZmUEQBC6PiWb79u1eD0XDMIy9TZQNpSek6VjQarVQKpVQq9XcOF3aNL4E54zkoaMChS1fTij2fbQJms0myuUyms0mgiBAOp129i7PLVOKcEU95j+Wk2uxWMzVgx5S9IoqlUqYnZ11ET8yATo9pORCOhwv2njC2FOW7bd9N8O62wx9txeDBr4esOv9faJG1HllWfybqrTshAC4eN1qterU5ihPm17XHVWXKLFO1lHnSJJ/S4WfYhsHi7lczu1P7y45A0BPH3pm6LbmuROJhOvU5PKkPD87V2nEaQM5Kk+V3sbyfd5g+n9pdEohSno2+LxA5GoTPm+oKAFM3xv9ufZq6Rajrc9jXw4HJ7qPkIKRFtj5XtVqNYThriWIBwcHkU6nXS4DoHvYqU9Y77bP/ngu5Xm1GCT7ZwpTFNQ541iv172itu9v3zmjBCp5b/p9b7Ww5fN80ufU33NRQuFyEQ4NQ9JsNlGr1ZDNZjE4OIhCoYCZmRlMTEx0eF0bhmHsKdqGkqvK0S7SIXgydy7HVfJ7ls4L0vaiYMW8U+l0GsDuyX9pV8joFzlpJm0luaAUP6OzgBzn0H6T3ldMek57qVKpYHp6GrVaDbVaDZlMxiVT5zYpckmvegvdM/aEZStKSboZPD60kSQ9gnxlaw8mHYoXVScey85AGgjsFKggc6lOAB2/99QI0N5EPgNEd5DyGuRvlhGGoXMdlUm86a6p24HuobIcdr7ynDrMkcafD21syevp9znQ4mIvQ1Luo4Uo/i1jsPX16vrppOnyf3l9UmySQh/PJ71d+unwpbAWFXbUrR2MlYt+xvUzJ4VOvut8B/nsMkcAB0zdRCkpXPG37k993jpRwv++xNc/sa/mwJADSNZXvu/9ehtJwSdKpPP9LY+NQotIui/xLboQ1e/3mnAxjKWgWq323IfLpNdqNbeEeTKZNFHKMIy9ho5WANARvi9tLfn9qRd0qtVqbmIrmUwinU67iBNOBDKVCwUrjsUogmlnAf5mfZiDSk6icfxCDyqZH9g3NpR5NNPpNDKZDFqtFrLZLACgXC671Cq1Ws39zzBDOiDwfxOkjD1l2YtSCxks+2a/WYZvkN7LAIjyRpJePz6BQZ5Pe+1wpYZEIuHcPn3IfEzdhCSdx0pef7cOop921a6gUvTiNVNZ53XITpV1kytTMNl7t/pJ4cp3r7SxHXU9vpA+maCQZRHOgOj4aGmc6vNqo9LnqdLtPviO9xmWUQNwn2CwUBHXWPl0EzdkjjUppspnmgMTDpAKhULHiivyHFKUlQtJ6Odce+YA85co9u27r9CTAjo5aaVS6XDR5zUt9D3SEx3yHBr9uX6f5Xb2o77z9TpXlLDvq6thLDcYLhMEAQYGBhAEgctRGZVfiiEnMoenYRhGP8gJYzmBzpQlFHxkUnEmPQ+CwE3uye3SlqEdVK1WO0L/5Cp2HIdoxwpGscicTrQvKS7JkD3uoyfA5diP4lm73UY2m0WhUEClUkG5XEalUkGlUkGtVnPlyZxXOjTQMBbLsheliBaWfEgDQofGyRdabpNGCBA9Ux21XR5LtVm+nFLY4cvPGF0AXWf6ZP3k+Xy5mLRRIzseeWy/sAxp0DYajQ7XVWm0cZv0fJICTxjuXqlBtk83UaebeOgzpHRbRN0vmVxQ1lXXRRrterlTuUqZPheNXXlMlGcWr0/mkPIJkbFYzH0RaQ8on0Hbz/uiZ2OMAwPf+8Jnlcv/8pnm+0vRWPZPlUoFk5OT88Qbn6dPlPAvz6+FejmJsK/hu+ETbqSIL/PURdVtMe+Nr5+T77/cro/r9d0ky+/WllF1iPrfMJaaWCzmQkU0jUYDc3NzyGQyGBsbc+kEokQp+f1sGIbRCync6BxNMncsHQsAOI8h9jX5fN4tHEOPKAo58ns/mUy6NCY6gsTnbU4bVq7wHoahE744oRiLxTpyHVMcY1nargzD0IlMrC/zAXPfer2OSqWCer3uPLp8kTOGsaesGFFqT/EZGN2MKN/x8m+fIBSLxZDL5VCtVucl7aTSzo5Jxxf7Zq65n3QdlQnAfefXinUvI0YjxS4Z5gPsXvlBn9cnnLGji8ViLpkfsHv1Cj1br+vLeizEKPO1ZbewG3nNLEOLiFKQ0tfJc8rnQX6uRaRuhqmspzbWKVbxC8nnYaLh8b0MTX09xsrH16/x2SkUCh3L++pnj7N8ciaOz54Wo2KxWEcYnD63rA9/+F75BK6lQL9XwK5cf3KgJ4Up0o/o0wtZhk8Mimo7vd/eQPYxsh8zjP1JLBbD0NAQgPlhfTTAODlGASsKPtNcwMAwDCMKfrdq8UjaBTK1Blc3BnZHiFCwYvgchal6ve6EK47FOEko0yf4bBhpi+ixggzdo83EsjOZjBOQGGbHNAU8X7vdRqPRQKVSwezsLJrNpvubYpr2tqKAJdOJLNXkonHgs2JEqYU+8N08U+RA3Pc50CnO6J+o+jD8hSpyN+8bCg0cMEXNmjN+OEqQ0vVnuTyXLKtbe0ikp4+8Np8h6TOAY7HYPPWfZXC/KA813z3oB1mO9k7S7eozMOUXj/Q2k4KUrKduB7rP6vPx/mnRSddde0j5wob0cxiVM0rvZ2LTgU2/wi2wazaN4SzyuZBCNF3J0+k0crlcx6qbuk9hInDp7ddPPXn8UgsiMuyQ/0vxvd92XAy6vF5iHrdHtWkvsbnf9z7q+9AwlhpOYjGproZ5VGTy4YGBAczNzc3bl+9XOp02UcowjK7IcT+R9hYn4KTXFMP4GCZcrVbdd3kQBE4QYioEYHc+S+aypLAuxR7tNSUTist6ShuKoYAsKwgCxGKxeU4S2oZsNpsolUqYmZlxdWXInvSGSiQSHQIaMUHK2JusCFGqm0eNz9ODrocSqSRLY70fo8AnSslypRcAPWP4mRzs83Puw1CZqAGTNNj06g56H9lR9ZOkvRvabZXb5EyCbBud/0mXxVA3duK+ji1KlJPX00/H5xOgoowtua8WpaQg5RMvfejr537a40vXwee9wbbSrrY6wbqvnG7Pq3Hg4euTfJ+127tWVekmslJMB3blQRgaGsLOnTu7nk8LoFETAj4RfKlFUy06xeNxNykAYJ547PvOWUy9ff2C/O7xlaU/17nuos7Tq8/j8eYdZSwFfKf6fV+azSYymUxH/hPCRWO4BHs6ncbY2FikKNUtn6NhGIZEekMBu1dsT6VSLlIEQIeXUDKZ7Fi1l8JQtVp1nkrcD9gdLke7jivkMUyOXk3S9uHn0huKYpheBImThLVaDYlEwoXupVIp90MHCgpk9XodxWLRXTs96fViV7Tf5NjExhDG3mRFiFKLodVqzcuFwr+liNTtheJL6BNagN1hVfIc1WoVAwMDLiGcz1Oq2WwiCIIOcUcbbey4eB1ajJDHyAGf9kySnaseoEVdu/agAHYnK08mkx3xyfIYCinS4JNeCFJgYV1kCKPPWyqqXlHX4Gvvbtcqr1GKUPLvXt4f8lx7o5OO6vB9/+vPeomsxoGFfge1uClpt9uYnZ3F8PCwE8Ll+8YBVK1Ww8DAwLw8S1o8lTmpZH+k893pvslXz2713hfI2UX2sQwJkmJ8lGC00Hr6vCO5Xbehr67SY7af8/RqT/2do7cbxt4gFou5laV0SgMf7KPWrFmDYrHoRHQJDb/h4eEOL07fdz9XjtJ1smfcMAwNv48pxkhnAJlHCtjttUnRit/PMgm4RCYz15PfUiyKxWLOm13aUbIfo6jEvlWG1/E4WUd6vg8NDblcfLFYzC281W63US6X0Wg0EI/HUalU5iVS1/Ux0d/YF6wYUWohRrbPU6gfryjfMVLRlnWJEh+q1apzyfQtkalf5Ki6RAkOzPUiP+tm8PjC5wB07UyohMu4Z+lCKq9FquZyeVEuq85y+MOBoiyjm2Gt/+5nMOnzbPJ5kWkPBHp1aVfZqLJ9ghifF5/RzRkOnVNLemlp1+Go6+2WEN2XCN84MPGJ0b7PAXTkD5Aze/oZk2I6nyEtYFC84fsu3y+fEKwHNUspRvnec64ywwFXEARuYKkXydD4+tso4aqfMnztq+8bB8T9DAJ1feT/vjrJfc1YN/YmnIVfyP7FYhEDAwMYHR3F5OSk8ziQyNQIso/ylae3p9Np501gGIYh0WNxOUEtJ+dkxEcsFnP5mqRHFMdE0nlBhuZJoV5H97AMfiYTmdOu4jn1Knw6TQEA5HI5jIyMoFAouHEOz0HPKPa1MzMzKJVKziu1Vqs5L3oToox9yQEhSskX3refb7teZanbeaTB50tOrukmZNTrdUxPT3e4TzKHgq+uFHOkUSGTEHO7FFz6GWz58k4RKS7x3BzI+a6LHSvLkmXmcjlks1mUy+WOXBC6Hrx2YP6MAq/N1+4+IyvKKItKXiwFr349pDTa24RfHroe0ijvVb7vC0CKTlro0p5Svue+m6hmrEz0gCcq7p99jhZDgd2LGHAQkslkUCgUMDo66ly7teenfOblu09Xc59nz0Lfq72Bfp/lTGg6nXbJRqUHqPzR18z+iQNBIDpvXS+i+q6oduv23SPFLX2srJ8UrGV5ZqQby4Vu/US5XMYDDzyAeDyOQqGAdDqNwcFBTE9P91V2q9UyYcowjA6k2CNtD+aFkmNv7UVOIYiT8fq7WnpFAZ1pOmQuKT0ppW0ffS4mW5crANJzi3Yi84jqhap4TLlcdvYKbQmZV6pcLruk59JmMox9wbIWpXoZ2HIfoHuuHznQ961O101gkuEVcjUqn0dMq9XC9PQ0EokEhoaGXL4SKtGkWq3OE0lkh8hz6BBE1kF7LS3GK6ZXx6LLZDsyrljGVLPjlK6dul1kniZeFzt57Rng8/yQhhPrJo/tNlvKcn3wGuPxzsTz/bSRLiPqMxqx8rrkPfSJT92ee99xMtY8yktDPq/2xXJgEPWs6tx2fD/m5uYQj8cxMjLiBjLsnzg4KZVKzpuKS7TLcGefyCvPqUOjewmk+wpetw4j1rOfFKR1vfR7wsGoTxiX/Y9czc9HlHAeJTrxHHS1195ovfof3zllub79rX8w9gdhGGLLli1IJBI49NBDUSqV0Gq1UC6X3cRYq9XC3Nyc80qQcAxlz69hGAuF4wU5fmK/I73C5Xe1tCF0Dli9si/LlLaMFLPkBDOP5TmlFzcdFjgmAODsMtY/Ho8jCAK3b61Wcyka+Ld0QqAtF4/HnVDGPMi9PMgNY2+wrEUp0sswl/tpgiCY1wFE5ebQHjza80TndpLl6gEQX+ZUKjUvl0K7vWuVhIc85CEIggBzc3PYuHGj68w40PJ59sjwEt81+2baowZnsuPkb+ktxE6UBqnP0OL+spOW3hcsi50aBTW2pxRsKFbl83mn1sv66VUppCEnRSofus5RBjLroIVMXY7PwJPPBeO4tSeJ3K+XQBT1fOnnVIdNSXFKerfZIP3AxCe8yOdXPmdyBZlGozFvVpD71mo1HHfccVi3bh22bNmCG2+80SXOlM++fP/4/FHoihI3lvI51Hms5Cwm68dkoHq1UV4T+zH+Tfd36d2qr8snynG7RNZDt2s3MUkS9d0or1fXRQ5cff2P9RXG/qbVaqFWq3V4kpNms4mZmRk88pGPxNDQELZs2YKf/exn3tVoNTTODMMwiBSBZAQCkbmV5Hip13czx+LAbtFIj8+kB1a3CXl6N/FvAC4/McUmYJfTg8yHzGTqnHCsVCpuRUDak6wn81v1mowzjH1B92XaljlReVTk5908iKI6E12udJnUx8ukdf1CIefBBx9ELBbD0NAQxsbG5sUNa1FC/61/oq5Je91oZR/AvBlHbqegxmR8Ms5adq7y/LKd6vU6SqVSR1tJYYe5UqRrqU6uB3SGBuoQO1kPWb4vT5Osp8wpI9tVzkIs1rOI95jt5xM55WxMFPJLS2/j3xL5vLN9e53DWPloYSRKyJfvv5yZk+8BPSFvv/12AMDAwAAOOeQQBEHQsSqWDufzle3rs/qdZNgbSMGO74YUwxuNhvNalaI7B2Ds96XHaqPRcANDXxicrw7d+g5f20gxW/dZADr6jm6itu9v1pPl6fsRJYAbxnKiXq/jt7/9LcIwxNq1a3HEEUcgmUx29FOGYRj9Qm8hijNMBC7tFI4J5AS5z2YBdud68gk8ej8KRBqfLcLcoAyt44p9LIt21+zsLIrFoktizgTsTFcg/+dxHBNxok57ZRvGvmRZe0ppAcU388y/+zHuZScijYl99bKVSiXXuQHzPXRarRaOPPJIFAoFrFu3Dvfffz/uv/9+VCoVt4827lqt1rwQM7lvv9fSr8DSTewCOj2HOAOvxa9Wq4UgCBCLxTpmPKVRDOxO5ifL1eF9UWExvHbpytqLKAOyn229ypXHMBm8FpjkfZWeJt3qF5U3zCd29RJljZWP9ADy9Y9SLJF/x+NxlMtltySxfDb5HjWbTTzucY9DOp3G0Ucfjd///vf4xS9+gYmJiQ5RW5bbarWQzWZdwswo8VTXaV+1DdDpVSkHiLzmRqOBIAhcIk85c8lr4ja92o32xNKinLx2ily9+lTiE++iBKh+33EtPu3re2AYe8Lk5CQymQyy2ax3UrBWq+GMM87A2NgYTjjhBNx00024+eabsXPnzsjnul6vo1AooFwuW9JewzA6kJNR9CDy7dNP9IXOPSXz6nI8IRcwkRNP8lwck0lvLjnxzb5R1pve8PTqLpVKADqFMjlJJ1MDUBzTeTMNY1+zbEUpOZD3efb0g/YuAbqvOqfPL400KbbIDkSWrTsmdgoAnOIul/oEdoXJ5HI5l1g4m812uFT6jBCtpkuXz6iBmO5QfLPj9JBgp8fOyCcMyXAWLQpym15pTna4UpCS5cq2pgEo6x/1ReCbfSBSjJRtpI+XBqV+/vbEe8D3hcU6ydUL9T565kUKV1GClfycHh4LXU7eWDnI95jPWT9u1tyP/RNXo9Mrb27fvh3j4+MoFApYs2YNxsbG3AydfHblc8ft0vtHsi8nAuQ5WB9f/6zfdfmuRIlLHOxJ8Ur3z74BpRbH9GfyeyVKbNZl+a7X18f7vKW6CYRavLQ+wdifyHCXXC6HZDLpPK+BXc/07OwshoaGkM/nMTY2hoGBAZRKpQ7vAUkYhi4lgWEYho+osb8cM3BbFFLkkfvJY2UYva9PkhEf9NoCOtOZsExpJ3MsxjA9hvbJcZkUujgRKcU09r/WVxpLxbIVpfYWOt/OQgbZWrhptVrz4oz5UkcNfnhcJpNxZXJ7o9HAnXfeiTVr1rhkw/Qy0OFxrAc7jqjr7Oc6uqE7Nn0t0oBjuXKFQO0xAOwSm3j9ctlRn+Ck1Xt+LkPyZH368TbQQpg+PsoQ5L2W8d4+ooxsbRBGebNIo5n/SxGvlyCmRUPZ/vJLz75YDkzkM+57lnz9n37Gksmkm3Xj9mKxiG9/+9s48sgjkUgkUC6XMTAwgEwm42bdZB2YVLNSqXT0c1HC1L5EvlvsS7QbPeuRTqdRKBTQbrddvgWKuLLucrAmPW2ZP65bXXz9lX7/o/po36C4n3P1s383TJQylgKOoXTuTULjiF7U5XLZfZ9WKhV873vfw8Me9jAAu7zTh4aGMDMzM2+1YBIEQeRnhmEYkqgJ/X4nqultROFHJhMntKl8fWC73XbpAtrttssNJUMKtcc2PwN2OT4wQoV2Jc/vC02UuX99YybD2Jcsa1FKG9e+z3vBF1l7y/Rz7qjyJD6DnwaLzH1Ew48rWjGe9/7770e1WkWhUHCdCENqpNggZ+mj8NWB1+IzsOTMOMuXnZssQ+cekQkBdd4iLSCxHF8omc+7THaQeh+fQOQz+HzGt95HtgPRBqIM44mqs97mq4cOc5T3g18E3YgSznyGoxQiZBhfr2ffjNCVie95I/rey/eazwmPSaVSboDTarVQKpVw8803Y3JyEmvXru1YdTOVSqFQKABAh4DcbDY7EoDr9073Q/sC6cHkE4H5XsgFF+i6Lo/VdZbvj2w73YdG1QmYn3B9Ie+cFPx9/Y3c5mvnXv2g73z6OMPY23D8IMc23CZX2wvDEJlMBoODg6jVaqhUKqhWq66PGhsbcwZbKpXCwMAA0ul0xyIq9JIyDMPoh6h8rsBu+6HX2JqTV+ybKMRzQlHbG/I4GQLIiXKmOtH5rVgGxSbanEyGLoUm7pdOpzvKYV/J/ti++42lZFmLUsD8TqAfY0Z6R1HkiNqn2zl95/LlMtKdiM7lQ3U6CAI3S8cXvt3etRJfOp1GJpNxHdfQ0BCy2SwqlYozAtvtNrZu3er17ukHn2cO6y+vl+1Gg813jUTnL5JlUoiLxWIol8uo1WpdRTVZtja+5L2QXgrSkJTH+4zSqPNFCT7676h6dkMbdL5z+Twl5HG+Ly6f0KSPp+FseaUOfOS7IsVlKUARvqcUYig0MTym3W5jamrK7ctQGACYm5sDAIyPj2NkZAS1Wg2pVArpdBr1eh333HPPvGfS9/zvTWFKDxLlNtmnyXbhNor/DEfkjGSvMqV4JycPfNfr60+iBCL93vvEI993YpTI1O/3hBTKdBmGsS/xGXScvee7xUm8XC6HfD7vPBqB3SvxBUGAgYEBVKtVpFIprF69GqOjo5iZmUGz2XSpEW677TbzGjYMoyty7KR/pHcnI2ei+hQeQ9tO2lbElyQd2G1fMqyO56TXqFx8Sk7+yx856caymIJA78f68tyLtTUNY7Esa1FKdwSaXoYNX2gdvqFnrbsh9/HlBGGSObmdwsvo6KjzOKjX60in0/O8ioIgQC6XA7B7lYUgCFAoFJBOp1EqlVxnxs5vIYYGO6moz6RIJMUevS/jmMOwMzE5r1teFweQMpFfvV7vaH/d7rJzzGQyHUvVy9BAWScepwUzua+Mu456hnx/ay8EtqM0PrvR7R75PL/0fZKea9IzrNv74IPl0svFvmAOPLRXjO8Zkfefz/DQ0BAajQbm5uZQq9XcylUcuCQSCQwNDWF4eNgJ4+l0GmNjYxgcHEQQBNixY4cTzmVSTNZD4nuH+xV35T6+91R+5htsyXeL4dHs15jrj7kXZH3ledg/cmaR7Sk9pHyCUq++IOr/fj2V+hWSourja3t9zl51MIzFUq/XO75fAThvpsMOOwyNRgMTExOoVqvIZrPIZDLOKAOAQqGAsbExN+sfBAHi8TjWrl2LQqGAyclJ1Go1ZxgahmH0g0+Q0mF4tVqtY9wjj6Udw/EHJ77S6XRHNAxD5qKEKWl36VX6pF0phSWOyWSdZcSNLI/HsA7d6mMY+5JlLUoB/nxIvUQGn2cUj5PJu33H04CRnjo+7xvt0smXXQpX8v8or6xqterC97gqTKVSwdzcHFqtFsrlMmZnZ93+6XS643jdaXTzitFGiTxW1lN2ghStaLCy/WTOFWDXwJLupNxHrlRVKpVQq9XmuZqyPuwAaSBKIUYm6taeRVq4YWfMa+hXkOIXR7eZAd0+cnuUZ0WU9wTFMtY3qm4yFFSvgqF/c/8oAcsMywMLn1ju8+rhM8QBUqPRiJwFa7fbqFQqTlSenp7G0NCQW51ueHgY1WoVlUoFO3bswMTEBKamphCPx90Syr566neC74CeMdTX0EtwkdtSqZTLiSU9KKWIztxZwG7ht16vo1gsotFoePMzsF1YBpdO5mCOornPg8mHnhjxtZMPnzeTb5+otuqG7/7I//sVwQ2jX3QfxfGZNPD097jcTmZnZzE3N+dy3a1btw5zc3OYmJjAgw8+iMnJSWzbts3tHwSBiVOGYXRF5+mU2+V3fi+kcwDHDtVq1dlU0i7tdTxtG47h6DWVTqddWKBcsIX9JPP6UpivVquuD6TdxnzFFM5ok5kwZSwly16UItoLQCJnx/V2xt/KFxqYnyNJnsdnqOlOKJ/POyMsm80im82i0Whg06ZN7mWfmppCLpfD8PAwyuUyGo2Gc6Ps53p5XZp+8gPJttC5rfS1sR26dYwy4Z00gmX7UZnnIFL+RHkC+dqa1ydFGF03KW75PBrkvdb4RDnf/xKfsRflceAzHn0Gtg7Jo6DazQ1Y/i2vNeqae703ZmyufCjsSINuYGAAhUIBw8PDGB0dRT6fR6PRwJ/+9Cfs2LHDhbxks1msXr3aeUsBne96EATOO6her7vzRC22IL2xtCAK+MPPdAgu8XlR+cRgvgepVKpD8AU6RXoKUNyucy/IsmUfK3NH6R9d3yixWl5LlPjUq7/qR2iS9fTt30v40iL6YkUuw9AEQdCRz2l8fNyNnYaHhzE8PIxisYhbbrnF7bdp0yaMjIxg/fr1mJiYQLlcRjqdntf/RD2f7JM0UQvGGIZhcCwtc3HKcXm9XncRHd3sJgm/S7nYEwWkVCoV6UzAsQ3HJxzfyNxQnGikuKQn1miP8Tzcn5OC0kZjefyx731jqVnWopRv1r9fpGjBl5Bl+DyXehnorVYL+XzehddJrwN2MolEAuvWrUOj0cDWrVsB7FopplKpIJvNIplMus5jYGAAxWIRYRhi586dyGQyyGQyTrhinXK5HIrF4rw24XXJ69WiiBRHfIKUNna0MSOP8YlI0jtMh8jInBBRIqLPCK3Vak7lZ3l075fIWYwo8Y747mu/6r98hmQ9e3XW/XhCyHBM6akmZ06kOLdQWAef959x4BCGu5JoDg4OIplMIpfLOaGyWCyiXq+7fCtHHXUUxsfHcfvtt6PVaqFYLKJUKrk+jf0PRazZ2VkXNhOLxTA7O4tYLObCZ8bGxpxXpy90T4s5sm+RXki9hBIiQ+VkObIPkn299JKiaMV95coz+p3m/7rOMtRIemLpesk2iPp/bxAlli/kXD7xT5Zr/YWxN6hWqy4ZeaFQcMJQtVrFjh07MD09jWQyiVNOOQXFYhG33XYbgF2Te9PT0xgcHEQ6nXY5OMfHx7Fjxw60Wi3cc889yOVyWLduHarVKoIgcOddtWoVJicn99dlG4axgpDe1UDnBL8UbJjSoJf9IeFYpdlsulWKgyCI/J6VNgHrxjA9KZzFYrEOO0naXXIMJMuJmjg0jP3JshWlpJgCLOyF4cy+/N/34mkvEhlG0msw3u9AXc+qU7EOggDlctmVNTs7i3K57AzCVCqFZrPpDEbOHObzebcfExQDuz2MpBHFpcq7xSlr8UqWJ7fRgNXnkl5YUsXn9erkfrLtWLYWfmSdunkk6DA12ebaQ0IeJz2MeiH3kUJZlEeErmcvfIKT9KbT5WoPtH6EW99nC/HUMJYnvF+tVmterjoK23JVlUaj4Yw17fkk88NRgJqamkI6nUYsFsP999/v3vVCoYB8Po96vY65uTlks1kUi0W0222Mjo5ibm6uIwxX1pX4vHF81+bbpt9rDhDlUvFy5U75LrHPpPBbq9VcPim+3/I8WuDxvetR75evj+jWDoshSvTu5nW1mLY3jP2JfiYpbO3YscNt27FjB4rFIjKZDNasWYMgCFCpVFCpVDA0NISZmRkAu0WqXC7nFjgwDMPQ6FxMDG+jOAR0t021Z7UcozWbTeed3s0e8dk2vslq1s8HP/OlTyFy4toEKmN/sWxFqT2FL5ZOTh61n/xfChc0ZBimRy8EAJienka1Wu3I2TI+Po5UKoXx8XFMTEy4cplPKZvNOlGKgyLpKindJ+mRQE8sol03ifRqiqKX0aKNyFhsd5JzdoZR6j2PoQdCs9l018pk5/Qsk3X1hV766hxVb58wI41Jbfjxb33uhXhP+UTLbh4K3YxPXdeFfCnILyn9W+5jXzQHHnwHec9HRkaQzWZRrVYRhiGmpqYwNzfn8kMNDAzgiCOOwMDAAI488kj8+c9/RqVSQRjuWiY9l8shm826ZMHMHRWGoRP52RcwpxL7A50jTa5ip4WTKPp5PuW7LsVZ5qPTCzfIPkv3T+yTgyDA4OCgy6Enwxd5Tp8wruuj32O9X1Tf5fN2WgxRM62+9pcTEYaxL+AEXDKZRKlUwsDAgFskgYYdPaQAuPHOUUcdhXw+j2OPPRZ/+tOf3HfZ7OysW3ghk8lgeHi4Q2ySk2MU3BOJhFvZWFKr1Vw/aRiGEQX7EBm9wPFGr8lt7ewgbT2OlRYTCSEnpaXdKMMJ5XZpX8kxh46wkb8NY3+wrEWpbi6N3WBIRq/9tGqsZ7plZ5FMJjE2Nobp6WnMzMy4z/mbhtnExARWr17tDDsq4Rwo8byJRMJ9BuwK8wuCwHlIcR8m7wXgwvv6HUhFJQf1GSlS+ddt4dtXxxyzk2Z7SIOR4TGyPXXo4ULD7+S1+DwZtDeUNMLkj/zCYD11/brVRdejmzDlo5u4tdiYbl67/rLzeWvYoHxl4eujEokEstksDjnkEDz44IOYmJjwLvtbq9WwadMmHHnkkU4U57LqsVgMtVrNvRM8ns/izMwMkskkstms88ziqi+cncvlcq6v2hNPHd92KXzr0Dm9eAWP1e8PP5OLJtCVXg4OGcYo3xctHvkGcFF9Q69r25csRDgnvTwqDaMfKE7zXQqCAEcccQTuu+8+PPDAA85TUX5PtVot3HvvvTj66KORz+ed6MR3maHCwK4xmUxtsHPnTgwNDSGbzaJeryMej3cI7MCulfqkR6VhGIZEjp85ga5Tbch9+ylPem7LMuT2xYwL5BhF/5bjHFlX/qaNbCKUsZxYEaJUv4MHaTxIUaIfI0gnhpP784deSzT2mFdFDqr4mQynkQYQOziu9MTOyTc7L3MrZTKZjk6yG1EhcQs1UHjNXLEqk8k4I1a3FT3K6Ekh25Vij5xtYGiPTijsqwN/6/r28jDS7dTtWrXHQy8WIkDpOG55Pn1ueX65v8/41efWQlxUvaP+t0H68iZK9OB95/tVqVTQarWQTqedwATA5THo9hxyOz0NKDJpj0xZZhiGyGQybhlhX719HkELHQzJfp0kk0mkUimXeFT3T7LuOl+bXqWGg8coMbhf76leaKGs2/+LRX/ndfOi8olt1hcYewM5PqBXYqPRQLlcdn2UzAMXhqHro2Kx2LzxBMdODH3JZDLOa1P2P9Kbge95LpdDrVZz4rthGIYPOY7mGAeAs79o7/TzfS1tEy1KySTje4K0fTh5x7EMf6KOM4zlxLIVpbSIEiVGRB0rj+tXzfadl6TTaVQqFRduF1WndruN2dlZ5PN5BEEwLwFwu91GtVp1M3myDIaOyCU+mQiUoSn9hph12y/KU0ZfN5cszWazKJfL3mTZvhxLQKdQJ934udQoZwh8oXtRyr4WZvQ5+73PPq8pXZ4Wd/r1evDVSQqEUV9iUojylaEN+V4ilU6GGHWMsfLwiSOFQgEzMzMut5N+zkmr1cLWrVsxODiIIAiQz+c7PDZl7jgZjgfs6p/YL+VyOeepwPeZeZlk4vBuAupirpvvJf/mCqj06pI58XgetgP7Gs4iAruFKe4rZxh1ItB9QbeJgsUYzr7+RfdvvufH+gNjX5PNZjE9PY2pqSn3fjJ/ogy7bbfb2LJlC0ZHRzE4OOgWi5H90MzMDCqVihPiKZJXq1WX6Dyfz7sUCcCuPFT82zAMIwo5wasn5OQYYyGhd1o44ra9jS9cUDs9GMZyZdmKUmSxbtZRiaKJHohrFVsLJfF4HHNzc24WzxceRebm5pBIJDA0NOSOkys0VatVtNttN0vIfAecAaSHUjqd7hCn9LWkUqm+OkbZhlFtqY1Iur1nMhmk02knmFHokEad9ALjtqg6sV1TqRRisd2rYy3GfbWX19tCQwJZj6htuo7dRJ6ocqKeZy2Qscx+EyD6PM4oTEk3Xi0qGiuDXkJFOp3GxMREh6DE95T9Gd9Trgw6PDyMVCqFbdu2OUGp3W6jVCqh3W4jm826fAqx2K6V95rNJrLZLIIgcMnSKZrXarWOZzedTs9zfd+T65f9M8MH6a0KoENck6K57p/0cvCyXqyvFNd6vS/9elb2e9xi+sJ+yu4m5Pv6HusjjL1JMpnE1q1bMTU15Z61KM/v7du3I5PJYHx8HK1WC1u2bHHvd6vVwtzcHGKxmOujCoUCAKBUKrk0CdlsFvl8HoVCAcVicZ4gFYvtCilkqLJhGAbxLZbE7RwndMuF2419NQmkk5XH4/GOxab6yTtsGPuTZf1k+rx4ug2UZQciV6bzlSfzkvAzOUDS4S31et3lIuC5tIru8zQqFAodyrUsm95SHDjJZOH0BkilUi45uoR5ZPT2XiJelHGk3UozmQxyuRxSqZRzu6dnAlekYKenvQ0ossXjcWcA0m2egz+KcbIcLZwsln69yVhf37minh3ZRr7jojxCeD91O0cZxL5z++jm+sv29yUz9GHeEsuXqPea7065XHZeS9wuE5FLGOoSBAHGxsac+MLnhX1bpVJBKpXC4OAgRkZGnADNfeQCEOyH2CeyX8tkMn09V/1OPvB6aHDKQZdeeYaGL/snrkSYzWZdv0UP1Hq97lbi47vJvq+XkN8L7VHbzzHSgymqj+oldPXrORp1vGHsTcrlssvHCezO3RYlCHGhlDVr1nSspkzCMES5XEY6ncaqVauwatWqjr6MYhMXMsjlch3GGCcOuSKpYRgG4djK9yNX5FtOaDsD2G0jyHGQeUcby5UV4Sm1ULrF0PrKlx47upx+Yn51yIUvFIwGkb4eWb4+rl8BTu+/kFn9buejeCKFONmpsf5SnOJ2uRS9jG32eQT5rivKGOuVM6lfokJZfG2w0DbW+ASobmXI9ubvPfUysS+hAxOKRMytwr7MJ4TwGeB7yJk+rkYn8ytJcUuWRy8l/i9zzsm+lGE5Uuhn2d2EkChPHvk5+wB6b8pce7w+PRCT10vvL9m3dfNelHXR76Y+1re9m/flYlnou7wQ76vlNtA2Vj4UeKVwvJDvJHqOc0wi+yc59qBncFQYr0QmGTYMw+gFx1tyPLXc0N5Q0l6SNuhyrLthLGtRyieKcLt8oXyGC72lGCYmiRKI9Hk42BkdHQWwyzWc52YCTg6AdJ3kYIjHA7tmC7kEMnM2FQoFt8peqVRCLpdzRlcY7kpYl8lknEEGAPl8vuusu7wWn3EkDUS9ne0jE4cyjwy9pRjGyHwOvF6G8DDXC+vO0ETOjHJwymvqd4bf55nmE66A/lfT020oxTPdbvLcWhj0iUja8O02AOa+XH2R17KnIhzDPHm/LDTnwCGRSGDNmjUufI73l6KQDlNjf8LQlWQyiSOPPBLVahW1Ws3lpQJ2G4LDw8MIwxC5XA7bt29HOp3G0NAQwjB0K4bKPjMej2NkZMR5QPD5k+Ks7r+jxCifYEVvTSZM5jm5GqDMvSeFsVgs5paCpxDHMGomM5XvKtuO/VM3IX1vvk/9epb1W1aUsCbL0QNs6x+MvUUqlcKGDRsQi8UwOTnptnNMU6vV5nk5ArsTDMfjcRxxxBHuPZ6amsKDDz7oyh4cHMT4+LjLfTk5OYnR0VGXj5P7FQqFju/S0dHRBeeFMQzj4Ga5ilEaS25urESWvSilcw5QqKKhEBXCwEEOZ/aBTtGAM/va6NfGUiaTQSaTwcTERMcKMbVarWN1PC1MlctllEolJ8wkEgk3MBodHXX5mXbs2AFgl3F5xBFHYPPmzQB2h7eFYehCSxgKRwNraGgI9Xodc3NzKJVKrm4+wcTXRvqaKUgBQKVScStbVSoVBEHgDEGZh4EGIM+pXUOZHJnbm82mWy2HxqRPdJTIpOhRdSc6gWCUEebzkOKz1QspOEUJU/KZ6HUOKb72K0D188Ui24s5eLT3iu+6jJUB+4h0Oo3t27e7nCuxWAzVarXDS0i+o2EYYnJy0i2fzv4xl8thdHQU69evd6HFmzdvRj6fBwCcddZZuPnmm53wlc1mnYdWtVrtePeSySTWrFmDVquFnTt3YnJysqe422s7y221WpidnXXbKpWKC+ULw9A957JvoucUw4DYDlxlkO1EIZ6fy++HKPFJL/awUMHI10d1e7/7EcF8XmlRkxIa6weMvUUikcDg4CAGBwdx9913d6yOWSwWnadlLBabF8a3Y8cO5PN5DA0NuXe/UChgzZo1OOKII9yKm3fccQeAXcLTGWecgVtuuQXArkm/4eFhJ14Xi0UEQeCEqng8jkMOOQTVahUPPvggpqamlqhVDMMwDMPQLGtRyjAMw+hECqDS61N6+siQTQrn0iMglUo5EUaK+No7MpFIYGBgAJVKxRlzzMEkw/6kd6GsD9DpTq7FUCkeR12n3kYPVlmGFlzomaXFXh4vQ37kxEKv/Gu9xP6FEOXB2u9xPqK8zqI8Z807yjAMwzAMw9jfLGtRSs5c69CnfgbQHHQ3m82OfEcyGa/0LPJ53QRB4HUvZxjM4OAgAGBycrLjeHoIxGIxDAwMYHR01MUiA3CeBqeccgqq1Sqmp6dRKpUwPj6O2dlZlEoltzpfKpXC8PCw8w4g27dv70jM6wtpjApDizJ+mDSYxhvbgfeAXhH0pKBxK9uPHkSc+azX60in064dpRebry7a8JMGJbf5Vo/od0UJX5toLyWfB5R+5qKeQX2sFgx8SKOeRrIMH5KCQr/ut/I4linDlrol6TeWP1x1iu+jFBkYQjs4OIhEIoGdO3e6nEp8N++55x4AwNjYGMbHx13CX77n4+PjeOpTn4p6vY4//OEPCMMQhx12GB588EGUSiX3PAVBgPHxcczNzXV4pt5///0doXQ+ooQR9if6c+aP4rkBuNUBKSxx9UAdui334feCTIbMhRikOBXlyeS7Bi0KLvad6iYqdUMLTvqzbnU3jL0Jn6lUKoWBgQHMzc05UVuSSqWwbt06hGHo+iPJfffdh1gshjVr1uDwww9HEAQdq2MODQ3hwgsvxNzcHO677z7s2LEDxxxzDLZs2YKJiQkMDAwgmUwim81i/fr1buVRcuedd6JcLu+VPJWGYRiGYSyeZS1KAZiXF4UGBQcmWojoFfbAMkjUoDyRSLicK9Vq1XkUyH3r9Tp27tyJZDKJXC7nQkkAdBg/c3NzAIAgCFCv151BNzY2hpmZGezcuRP1eh1BELi8TQwzYa4YlgHsTi4cBAHa7bZbAlmHkEm0weS7frlPq9VywhNX0KK3BIVCinpMHJxKpdBqtVwbyFA26X3B0BreC3kPfcIa27Hb9cmyoozJKKSHB8vxnUeXK0UkjTSAo9DHybpGhZT2g88bRXuI6JDIPTGijaWH4SzxeBzFYtGJycBuwTwMQ8zNzXWE+VUqFfds0qNoZmYGrVbLhbZMTU05kXRmZgZbt27F1q1bkcvlkMvl0Gw2nbiZyWRQq9XcMu/A7sUP0um0S0auQwjldbDOmm6ibxiGaDQaSCQSbpXQRqOBarXq+hoZos2VPlutlgtz5PtAYZ39GIUvn3At69xPXWV9o/7XZer+2Vd2N5E8SkTzTbpEiViGsSeEYehE8Vwuh6mpKa8oValUcN999yGdTmNkZASxWAw7d+7sKCcMQ2zbtg0AMDU1hXK5jO3btyOZTOKII47AAw88gI0bN6JUKqFQKGB4eBhBELiw43Q6jVKp5PJQcVsmk8Hg4GDHmMUwDMMwjP3DshelgP0zYJZhHd28XOhxIgUyn7FAcY2JwWkQMhSGs/bNZtO7/LH2lIkSQvZFW0mhR//oOnWbkV9o3RbjdSBFrqV6brqFwXTzktIeUN3YU2+GKG80Y+UhvYjYd+h3UeYOk++vFvWlcAzs8pSs1Wru/3q9jmKx2CEMy5Wu6HXFejBxuMzntNBEwtLbq5fYw4UUZN5A2WfLekettqdXV/V5lHarRzdhWv7dyyupl+ju2zfqnFGi1ULeexOqjT1Bi98+wnD3wh7ZbDbS25njJ+ax5KIO7PtKpRKq1SpSqdS8CUSe37fyX6+VlQ3DMAzDWBpWhCgljQnAHy7RD9JIiRqIsDwm5NbJNyU0hMIwdCs60XtJe2MxoS5dyROJBJrNJsrlshssccDFVaTi8ThqtZozBGncccUroDNkzTc7rkUR37X72lEfp3PX6EEdPXCSyaRbmU+HydDLip5gHChqbymev9s98n0uPav6DeXzoZMb85y6DlF103WK8oCSKzfq83c7B/fxrSDpq7++9/J+6ToZKweK2nJ1Ob4XDKOjAMV7nMlk3LEyVLdarTrvpqGhIaRSKdRqNUxOTqJeryOVSrn3l14INABjsVhHWA09l9gH9OpzJQsRZChKBUGATCYzL8Sazzn7KPbXUjBjSDU9Q9l38N2KyoGlty1EQO/lAbYQcaob/QrRJjwZ+4Jms+m8l6LI5XLO67FYLCIej7sFXLT3ElMacEXQdDrtvNXpLV6pVFCpVJDL5dziLBTVuT8ADA4OunDlPRkrGIZhGIaxd1j2opTPMPDRbWAhZ8MWMlvMVVt8ghiwO1kwjZxms+mWT+eAimE00mBkrqh2u41qtYpMJuOMSxk20mq10Gg0XHggQ2SYE0iGy1Cw8nnpyP+JNJ58ngHcTuFMJhbmfnJfzlpKoU6KK7Vazc1uyvxePmS9FhMqo6/P9/zsDS8A3ba+UNJewprP80zfgyhPk4UarbJt9KqHvpUNjeUNQ9F8ocXyHvP5yWQyGB8fRzqdxvT0NKrVKtLptBOG+f5ms1kEQYAw3BX+x78Z9qZXbywUCsjn89ixYwdarZYTzH1ilM8jSW/zieYS3e9UKpUO8YllyGecnmP0QuU+7NfY17J/lZMA3eout0ddh68P3ldeSL28Nn117FdgN4yF0G63UalUsHPnznmCMeEYiv1YMpnEoYceimaziYmJCZcbjv0N/8/lci7UdmZmBoVCAZVKxU0m8n3nGC4IAgwPD7vnnyJ6q9WKfN8NwzAMw1g6lr0oRXwDZJ+Hj08IiBIH2u12h9iiB+00+qKMKj2Ikd5CyWTS5X6qVCpoNBodITdSwMhkMs7Q40BJ5l+h15TMU0URK8r9vN/Zei0AaaOFglsstisxuxY2pJAm80xxH4qK/M0265VvqR/xsB+PgsV4AS3kGLmymM8QlYZytzK094cOyWJZOteUzyCOQnpK8f6RhXodGvsf9iVRXoM6eX4qlXI5VyjOBEGA6elpFItFty8NOz4fQRCg0Wh0LHwAwHlj0fOTYpR8fpnHKcooXSj6mW82m5idnUWz2UQqlfJOTvCaKLzxOnVOJenZpb1C+6mX72/+38uDknXYm5jYZOxvWq1WRz5MDYVg+Uwmk0kUCgXneR4EASYmJtzkGIVoej3FYrsWk+GYqF6vdwhTMj8o817GYjEnYvE710QpwzAMw9h/rAhRqtcgut/QEFmebzZ+oeJOvV7vMPA54KGrOAdWUkCi4SMTAIfh7jwtMvSPQhQHS4ODgy4hOvNT+cK/oujXuNKDRA4Cs9msMzKlF5T0suHMo04a7vPg8ok/UhyTP92uMere6fJ9Xgrdwuv2Br3qHeWl1o2osD2W0c2zxLf/Qt8fY3mgPZH0syQ9mlKplAtXKZVKyGQyGBgY6Mj/JPPe1Wq1jjDYdDqNRCLhxCm+46lUyuV0Wrt2LZrNJsbGxlAqlVAsFruGP3fDJ9iwP/S1Q7FYxMDAgOtHpajE/oGeG1ytT79/PpGqW53Yzguh1/sp7+VixCPfsyBZTH9jGHtCt+e4XC67v7loQaPRQLPZRC6Xw/j4OFKplOtLODHTbDbdZB/L52qbnCijVzoXQQCAQw45BHNzcxgcHES1Wu0YhxmGYRiGsf9YEaKUpld4hw8ZqtArhETvL0UYXQ/+MDQmm81i27ZtmJycxNatW10oDAdHyWQSQ0NDqFQqKBaLqFQqaLfbbiaPAhVn+/L5PAYHB5HJZLB+/XpMT0+j1WphdnbWhct0SyKq2ydqFp+zhRz0yYFaNwOum2ea9EKTBqUcNPravJ/rkP/77que9YwyBLV3Uz8r5vmeN2nAy/aSz4gMsfT96GP7ZSEJ03mOqLxVe8ujxVga5DPmE1TYnxQKBRx55JEYHR3FH//4R2zevBn1eh3Dw8MYHh52eaAoNs3NzWHHjh0u5JbeVfSiqlarLjnx2rVrMT4+jic+8YmYnJzE9PQ0Nm7ciDvvvNMZfb46y//15xo+swxdZv8UJfL4PMXk53I//bcse0+Em27ikxbp9efd2qcfuolTvv7JjHJjX8DnrNf3UzweR6FQwEMf+lAMDg7ij3/8I+6++24AuybjBgcHkc/nkU6nEQQBDj30UExNTWH79u2Ynp5Go9HA0NCQy1WZTCZRLBaRzWYxPj6OdevWIZ/P4xGPeAQ2btyIVquFLVu24E9/+hNqtdqixXPDMAzDMPYOK0qU2tOZXW0IRJXHz+hGPj097T2OogtXgCoWi5iZmZlXFr2CODjTIlGpVHL/Dw4OduScarVayGazSKfTGBwcRLlcRqlU6jC4okSbheITJKRnFz3DpCDFZMrAbuFJzmayfjRodd6sKLRR1c0zSNY1SrD0Ha9FoSjPrX7KAnYLUxS3WGa3xMn9og1Hin7y/svwTu6j0d4mOim8TtJvLE/4rDMfnU/EYP9Eb6adO3di27ZtbvEEKYSzr+EzRA8EJjOfnZ1Fu93G0NAQ8vl8h+jM38PDw5icnES1Wu1ItM8y90TokZ5fWoAD0NHfMBSH55Mhzrxe2SfT40uKXFGCl6yPvh/6s6jrlP2lXhBjKdBCvKyTiVPG3iQIAqxatQqbN2/2fs73jqHFExMT3n3l+8qFU6Sn6MTEhNt37dq1yOfzTsBuNBoYGRlxAvrk5CQmJyddGYZhGIZh7H9WjCjVbbDcy8jpJkAtZj95Tg6oRkZG0G63sWnTJrdPPB5HtVrtyEuVyWTcajRBEGBwcBDALkEokUhgYGAAAwMDGBkZwejoKAYGBjA9PY12u40HHngA9913HzZv3jxPQPKJJ/pvWXdtRHUzvlh35l/gQI6JRgm9n2ReFopQ2WwW+XweYbhrpS89c6rze0XRy4iK8gqL2l/u081Lql9jTYs83YRP7i/3le2rzyuNXbYt24yDdY0UBDRRniLGykCHeklBUv6fy+Wwfv16xONx3HbbbW4l0Ha7jenpaezcudOVl81mUSgUEIYhstks1q1bh1Qq5fYfHR3F2NgY1q9fj4c85CEIggDbtm3DzMwM7r77bvzP//wP7rjjDhSLRZe4mCF1/b5DUd6cvC79GevGd4ACm0yQzGPlIhHJZNItM5/L5ZBMJl1/7Tt3r36y2/X16re6ieuLFYr6rc/emtQwjMWSz+dx+OGHo9ls4uabb+74bHZ2FrOzs+7/XC6H1atXAwCGhoawZs0aAHArIK9duxbr1q3D+vXr8dCHPhTj4+PYtGkTGo0Gbr31VvziF7/Ar3/9a8shZRiGYRjLiBUhSu2JhwkQLU5EhYpxO1fHI/l8HpVKxQ3eGZKXy+UQi8Wwbdu2yPOSer2O6elpBEHgVuijW3oikUCtVsOqVaswOjqK4eFhZLNZnHjiiRgZGUG1WsUf/vAHfPnLX8bU1JQbVPkMnSgRwofcV7ezzh1F7xxuo+hE+LkUQrgfDchu9YhKVMzf2oCSYop+TughIb02dHm6LH1e3zm1Z5UWjijKyVAjed2+42WYn/SCk+X6DNkoQ1KLUdxXerrJa+a5mQPNDNTljQw1A3a9t/SaAnY9U5lMBrlcDsPDw6jVati4caPrv/huyFXrAKBWq6FarSIIAtTrdczOzmJkZMSJNrVaDSMjI3joQx+K9evXo1Ao4BnPeAZyuRwA4Oc//zn+/u//3oUZS8GI9COAy+dfPqO+91GuokW46ATfRe29xO2JRKKjT5OhgdILVHpP9SJKSPaJP9qrq1cbdWOhorKJ0Ma+hl6WZGxsDFNTU+67L5/Pd6yMd/vtt/css1wuY/PmzR1e7KOjo25FvmKx6EIB169fj6GhITzjGc9AJpMBAPzgBz/AK17xCmzatMmEKcMwDMNYJqwIUQrAvBnvhRgH2jCXoRk6F5A8ttVqOVFKG1Y06DKZDBKJBKrV6ryVsKL+lnXSNJtNN1M/ODjohKl4PI5cLodEIuES9frK8pUrr9dnHPm8dqTRKo02mVydCZLpoUBDjisQsu24jatysc2ZqFSez4esu+8atajDbd28qHzodowSpHqVIQ1f3/Z+6+QTnXxik7w/bF+f0CbbSLepDLPifTKWN9I7zvdssa8AgOnpaZRKpY53nc+BTvAN7HrO+G6Wy2Un+MzOzqJarWJ4eBgnnXQShoaGOs45OjqK8fFxPPDAAygWi/M8AXu9P7p/Yrgdc13JkGBZf92H8zMpTEkDNJVKoV6vdwhPsk9n2KLsr/YUn7gmBTO9n+6vdfvo/SX9iFr9CIWGsSdoUQrofF6ZIiGdTmNmZqYjlUE3fN/vpFqtolgsAtgVynfIIYc4QQrY5a2ez+cXnIvRMAzDMIx9x4oQpbSY5PN8okGhj+PvKC8Yeqb4jtWGPT2b+Fmj0UC5XHaGks/AAHZ7VPEzCjTVahXpdBrVahXVatUZUYlEAsPDw1i1ahXWrFnjvBB4blnWQtvRx+DgIBKJRMcMJj195Oo1FD+YvJgGMYUr/h2L7cp1Q1EqFos5r4lkMolMJuMGgxRCosRBIFpc1PhEJe0h0e2YKPQAuF9xSxrk8vq0p5R8LuiN4jtHr/AhaZzL/WRYonwX9DPer9hr7H98Ajn7IT4H7J9kjijuL73xuBCDvPd811OpFObm5jA3N9chUh966KHYsGHDPFGKoYFSLNOLIvjeJdl/a7FpfHwcyWQSExMTHUvIs79MpVKoVCrzxDW5ZDz7JZ5fepWx3rw29mUy50y3yQZJ1PXxs6j72G//1G3SIepzw1guyDEGsEtAmp2dRb1e7yoQ5XI5BEHQMc5IpVKYmZlBLpfDzMwMZmdn3fgoCAKsX78eRx11FI477rh55QVBsFe/6w455BCk02nzvjIMwzCMRbIiRCmgc0WkqEG4ND4kcuCvZ+IpFkQJU9yPwoosX3qn9PIs8RlG2WzWrRLDc8TjcdTrdUxMTGB4eBiHHnpoRzlc/jwqnLGbcEHPCeZaaTabKJfLKJfL8/IpyboypEu2J/fV7aGFQ9mmYRh25EDqF98910Il95PHSKI81RZrzPlC9/T59Dl9yellfZPJZIcoJb1WtIDl+y1DJ33CE8vicyZXQNTvUT9eLcbywCdcUOgNw9Atfe7zvOnG0NAQstkspqamnBdoOp3Gtm3b8Otf/xpr1qzB0Ucf3RE212q1nEDE1Tz7qXMstmv59mw260T4Wq2GYrGIYrHoRDbdl/N59glBUqCTn7Nesn4y6bk8l/6+6GXI9tu2PoFroWXs6TELQU7eWL9gLBY9bmHoLcOGo9CCMZ/H0dFRpFIplMtlt28qlUKxWMTdd9+N9evX4+STT8bAwEDHOXfs2LEob+B0Ou0EMmCXqDY9PY3Jycl5OewMwzAMw+ifZS9K0fjQ3jRRyLAUWUa346THFMNEuJ3Hy7II92s0Gt4lhWkwyYGU9IoZGBhw4XqNRgPJZNLN4HGlunK5jOnpaeTzeWzevBlbt251BqKsY7cZey1ccMUbfk6PAn1d3CeZTCKbzbr8JyyPAzDmS2Jon6yPzNvC80sRsNsgbqHCSC+j0ee14BM1dcLofsrzbfcJX777RPTKePy8l4cYj2W9e7VvlIinPVRsxnfl4HvWKFLKkGAJ+yd6XspnL5PJYHx8HGEYolwuo16vI5VKYXBwEO12G5OTk9iyZQvuuecePOxhDwOwqx+59dZbUSqV3LuunystJsvVHhk6x5BD9icUaeXzKCcUMplMR3iOfnd5XTr3na9fl7mo5Ln2lQfhSvFM3FMR3zh4kEJwr+8Qhs9WKpUOYUl/nkql5n0/BkGA1atXo1qtYm5uDrVaDclkEkNDQ25yr9lsYmpqCmvWrEEsFsO9996L2267DeVyeVHPcDweRzqddqIU+4lardYxLjMMwzAMY2GsGFFKephoTxA5UPF5Svm8m4hPuOGASu8rxRppaMnl1H3QuOLqdSyDgybmpUokEshms06QisViKBaLSKVSbqWoWCyGIAhcO1AQoxHIQZw0RuWMv8wDpYU0eV28Nrnsu/TmqdfrbkDGgWez2XReBpVKpUPko2glvRHY3jInkk9Q5O+osB+9r49ehqX2xloI+tmSZfUTfgPAhUr263EXJTr5Es1rsU22P/eT913+2CB7ZeHzCGJ/wmdDv2tSGJJks1m0Wi1nhKVSKQwNDaFUKqHRaKBWq2Hr1q0YGRnB+Pi4yweTTqcxPDzsBCUKYkxqzOeqVqu5sliPSqXiwhDZx/ieZ/6WzzXfCfZPul2kEMY6yT6b/ZMU0XVI9kK8piRR3z++vmMx793eeld7Cd+G0Qt+p+s8bj74vjYaDbcCsT6GYxU5fgLgVtis1WoYGBhw4X1DQ0Mux2c8Hsf27duRzWaxYcMG1Go1lx6BZVcqFeelRVGc4x72UaTZbLo+S4+h7LvSMAzDMBbPshelgOiBuvbs8BkJUljpx7WaBlCvurBMvV0aMRRpWK6sE93Ww3B3GB+wS5zgIIkzgPQEGBwcRKvVQiaTccIZB0jA7lxV/CzKVV5ea1QbcLAoV5CTCctl+XJgxm3VarVD7OCsKYUqiU9ciRKbfN5OvejHkNT3p183/Kjy5PPaz2BV55NayLHam8onXGmBSoZR+rzqjJWJ9G4kUsTRec5isViHUM0yarWaey6CIHDvLcVxejbMzMxgYmIC4+PjGBkZQb1eRxAEWLVqFdrtNnbu3NnRF0iBneflc+rzOJWTEfrdZ31osAK7QnekyA10ekjxmmS+KZ5HrmQoE6BHhaz53hnffr3eKS229xLPo86zr9EeZIbhg+9SN3FTfwdJr3L5vvK9rlarHeJ5LBZDrVZzgjsXhAF2eVBNT09jdnYWMzMz2L59OwqFAjZs2IBDDjkEjUYDhULB9ZGTk5POy4mTQ/yMk4O8FqZq6Dchu2EYhmEY/bHsRSk5QJfLePMz+bfenwY6w9X07LncB0CHmBNlGHAGPZPJuBl338xet9l11juTyaBcLnck/aYx2Gw2USwWUalU8MADDyCTyWDnzp344x//6AZQMj9Qs9nsyMng8/TSdfQJV77rl2XJUBtg96CN7vXycw5OM5mMO56zkFyaXraP9NDphyghRdd9Tww5eay+r/3UUw5opTjK+yfDHX0eK1FirO88LE+ep1vuMR7D8/s8UGz2d+Ugnym+czTcegmPchsF0mw2i2Kx6BJ+x2IxZ4y1Wi3MzMxgbm4Ov/vd7zAwMIBNmzbhe9/73rznhn3v1NQUZmdnXR1ZLp9Z3e/4hF1drvyRHq6y/2FSZE4GyPAiThzwmU+n0x0LMejvG93e/d6XqD5qoe/XYr05F4J5SBp7QrfvHQDuXSwUCqjX6ygWi+596zZRpr1A0+k0CoUCJicnnecjc3RS+N6xYwempqZw6623YnBwEPfccw++853vOJGLIjbHXFzUwTAMwzCMpWVFiFJaGNAhKL3CCnoNsn1Clt5OaMhQ6JKhdjLfkkTmueJgKpvNOqOxVqshHo8jCALMzc1h7dq1GB0ddcZcrVZDu91GOp3G2NgYkskkpqennbs66+Crs/aA6IVsTzm4ZIhNJpNxIhQNS2kMyiXYORtKDw0KcQBcaA7bRgp2UW3fjyHnE7W6hcx029f33HTzpPMZnvJ4hmnW63XnPSLFPYYcaCFNikQL8Wqil5sOd+0m4OofY9/Ty9NmIeWwLN5z2TdE5UmSYTEMIc5kMs4jam5uDvV6HaOjo5iensaxxx7rVpsqlUrOm2FsbAzHHnssZmdn8ac//QlBELiQvdnZ2Xkr59EgpPeBFMq1SCr7CNk/0fuT18gQWL04gH4PpBHMz1KplFuFUPZP7N+6id9yW7/fNb3uZTcDvZ9tC4XfT7KPY7kyx5wJVsaeUqlUXF6mer3uPCR9uTkBdIxvKJgPDQ2h1Wp1LIYwMjKCrVu34oQTTsCGDRsQhrty4s3NzaHVaiGfz+PII49EOp3G5s2bMTg46DyUp6enAczPN8d+yXIsGoZhGMa+Y1mLUtI49iWAlkmzdTgdoaGhk1Bqwzsq/E8i80KVy+VI0Yrl8xiWnclkkEwmEYa7liSfnJx0x3F1GBp45XIZU1NT2L59O0ZHR7F27VoMDQ3hhBNOwNTUFG6//Xa0222Uy2X8+c9/xp///Ge0220MDQ11LO9ODyouu+zz+JFtIutMY49GGT2xpGeXDJVJpVIoFApuJR3toi8Hlj5vtF5earJ9dZ3133JbL0NRi3bSeJfGsCyj3xC/KMFTls1z1+v1jucyyjtEnj8q9FGHHPF9kfczqi2WwhvD2M2eePJpKAxL485Xvk8Ik/lUBgYGsHnzZsRiu1bFGx8f7+gjK5UK7rrrLmzatAmnnHIK1q9fDwC4+OKLAQA/+tGP0G63sWPHDtx000345S9/idnZWaxevRr5fN4lM6d3ws6dO1EsFl3YMkUrmWON74R+HyhsMYeMfkf4fgRBgIGBAVSrVVQqlY48gPodajQaHXnvZDv52q7f90X3JVGC5FILP2xHmXdMh3oaxt6AXk1TU1MLOo7eVZwQGxwcxN133+0+X7t2rRubxeNxzMzM4P7778cdd9yBI444AsceeywA4IwzzsDc3By++c1votVqYWpqCj/5yU/w05/+FO12G4cccghyuZwL4avX65iZmcGWLVtQKpXmCbaGYRiGYew5y1qUAuaH5UmjuZc3hzRYOBMfVX6380vhiuVKsUJuk+eW/6fTaQwMDCAej2N6ehrT09Pzklqn02kcdthhSKfTmJycxLZt29BoNLB9+3bs2LHDJRmu1+s47LDDMDMzAwA4/vjj8YhHPALJZBKrVq3qEL+Yq2XHjh34/e9/j40bNzojUHpHcD8i882k0+me3lacweSAkaIUDVnpceBr96j70E08kYKf735F3Qv5TPnK10LP3hCmZEiRL2mzLrdbO8v9ozzLKEJJ419/zh/ODOv3qh9Bz9gz9rR99bPpExWjPGv47iSTSeRyOQwPDyORSGD79u3YunUrarUaUqkUGo0GxsfHkUqlcOqppyKXy2Hjxo34/e9/j4mJCdx///145jOfiZNPPhnALtH6sMMOQ7lcxvDwMI477jj83d/9HdrtNh7ykId0LM9ONm7ciK997Wv4yU9+ggceeADbtm1z3oMMJ5SCtbzWVCrl+hu+j3zH9HvFzyg60bPT5x2hPQyjvKX6EZO0JyiPjcL3XbIv30OKgLp/MozlQi6Xw+rVq5FMJnHfffdh06ZN81YVzWaz+Mu//EsUCgXcfffduOOOO1Aul3HHHXfg7rvvxkMf+lC0Wi2USiWceuqpeOCBBxCLxXD++efjBS94AbLZLI488kgMDg66BWVSqRQqlQruvPNOfP3rX8dNN92E7du345577nHnZYiwb5VTwzAMwzB6s6xFKXp8RA3eZS4Q/t9tP1/58m9pNOj99QpxC0UKNQw7GRgYcPkL4vE4isUipqam0G63MT093eHS/rvf/c65qm/evBkPPPAAqtUqhoeHcdhhh2H16tUuYfrc3JzzcGi1WqjX66hUKmg0GkilUhgYGMDOnTs7PCSCIMDMzIw3EXoymcTAwIBbGUuKdDRuKUgxl4NscwoiyWSyw4OKYpW8T/2wUIMpSlRaSBiMvOe8Ni3U6X2A3R4GsVgM1WrVJXvXdZFtKo+RyCSwfO61t5RPKOP9kWFNPtFJbqOgaCEL+5Y99UqL8mzr5x3hcyA9AihI1Go1F65HD9F6vY7NmzcjkUhgcnLS5a6amprCL37xC6xbtw6bNm3CjTfeiF/+8pcAgJNPPhlPecpTcOyxxzqBVMM+bWJiArFYDIVCAZs3b3b1y2QyGBgYwOzs7LzJhVgs5sKYK5WKWxZekkgkXKigzGcl+yC+R1wRlV5aUWLUYtB9UC8BS+7Tz/3cE+GKkxJayDOMvQW/gxZLu91GsVgEALey8Jo1a7Bt2zYAu97ziYkJbNq0Ca1WC5s3b0a5XAawK1H617/+dTz96U/H9u3b8atf/Qq/+93vMDMzg4c85CE47bTT8LCHPQzj4+PIZDLYtm0bSqUS8vk8SqUSSqUSpqenUa1Wkc/nsXr16g5RanBwEAMDA9iyZcseXaNhGIZhHKwse1HKJ0zRkJIihjYaeAxzqmhD3ycg6LJ4/iAInJgCzDcauhksq1atcjmEisViR9m1Wg1BECAIAtRqNTzkIQ9Bu912q8GQRqOB2267DYcccggOO+wwjI+P43GPexyazSbK5TISiQTGx8eRy+VcnWZmZjA1NeWMuO3bt2NiYgKTk5POBT0WiyGXy3Usgexrh3a7jXw+DwAuhE+GyPAeMcSP7cXPZX4pKcr1a/z4jDT9XESJifJafB5TPq+3XshzyYTg8nqi8ov18uyTz2kvLy7dFj5hioKUXm1MirksS94r6dlhRuq+I0ow7Rd6g/qETt+5+Jv3eP369S5kjoI4yymVSshkMhgZGUGr1cIpp5wCANi0aZPz0qQh+JnPfAZHH300zjjjDBx33HG46KKL+qr/xMQEZmdncdttt+HPf/4z7r77bmzfvh2VSgXZbBaFQqHD81PnoAN2GajZbLZD5JbvkdyvVCohCAJUKpV5763s7yjQ+DwZo+5Dr/5jof0L/17Ic7HY50h7oRnG3oJhd7Ozs4s6/sgjj8Tc3BxmZmacAMX3rVgsYnBwEMPDwyiVSnjUox6FZrOJe++9t+N8lUoFX/va13DSSSfh1FNPxZFHHonXve51qNVq2LlzJ4IgwNq1a93+w8PDAIDt27e7nFd33nkn7rnnHvz5z3/uSL0wODiIfD7v8mUahmEYhrFwlq0o1c1zibkv+qGbp4cWn6LoJn7xWJ0gFtjlgcTZ93g87jyZWC96DnDmftOmTW7WXoeP5XI53H///cjlci4MMJFIYHh42M0gMpF2LBbD7Ows7r//fkxNTaFarWJmZsZ5QqTTabTbbSdUcCn2KBGk0Wig1Wq5dpeCC40gemRRBBwaGkK1WnXeOTJEjOGUWkyR9DKupREYJUj5vJV0uVGigPQoWkjduiGFOJm3JSqvje+a9GfdQghlu/C5k95Svrbo5qll7H0W4gkj0f1h1DMgxWP+TwEyl8uh3W6jUqkgFothZGQEQRC4bXyn+V7/5je/ce83fzNsJZ/P43/+538wPDyMoaEhHH744fM8liRzc3P4+te/jnvuuQfNZhMPPvgg7r//fhSLRQRB0PFecjEILbxJD0B6J+jnVwtNlUrFrdpVrVZdvye9Hyma9xKQ99X7ESWe72tMjDL2Fb3eFfYj7FsIxzrlchnJZBKDg4Nu3NRoNNyCMXy3f/3rX7vxiv4+X7VqFW6++WaMjIxgzZo1zoPy8MMPd+eVfdbU1BRuvvlmbN68GdPT07j//vsxMzODZrOJXC6HVqvl+s5yudyxkrJhGIZhGAtj2YpSwG4vHD3DT5Gjm3cP0aFKep+okDHuz1wm2qtEGw2+c8diMRfylkwmO7xTOAgqFAqYmZlBo9Fw18TBEmk0GqjX69i+fTvGx8cxOTmJtWvXurCWMNyVJJvCUbPZxMDAAA4//HDUajXnMVYoFFCpVNyy7gA6PLI0FJAYpkPjyBfiwXZmHaSXG40+XjfrynbU96CbwacNNLlfP+GV8vh+csFElaGP0eX28pKS+2tBoVdd+vGW0vvK90aeR74bvUQqY/mg71239wXoFGjlMbOzs6jVak5Al96HjUYDg4ODmJycdKHEyWTS5ZhjH8YV+O677z7cc889mJmZwQknnIBDDz0UD3nIQ7z1GhgYwOmnn+7Er8HBQfec7dy5E41Gw4UMRgmorCPrxf1k3yL3lX/T05Y58NgenCDoJsxG9Ru9PN56vdeyX1mMMGWikrEcabfbHWMOH1H9WDwed4u0MASX7yzF6vHxcTzwwAOo1WpIp9NurALs9j6uVqsolUr405/+hGOOOQb33nsvTjjhBAwMDGDdunVO/C4UCu7cIyMjOP300/GDH/wAwC4v8bVr12J2dhbT09NubMNrs9BXwzAMw1g8y1aUkqKGHKxwdrxX6JY0MqQhHiUgyWOkIJXJZDoSgPsGHbHYriSxclae3kgUmxjaxrJarZbLWyKNkEwm4wZSUpxqt9uYnZ3FXXfdhUQi4QZjqVQK2WwWQRC4gRsA5wXBGT2Gv3BlPBnSqGFdZJhdpVJxK9LIBONyuXm2DfO1cNVDelXIpPO+ROJRz4GuV9T9Wwi+8/UT+uSri9xHigU+DyhZf5+g1q0uUc+sz6tLbpM512QOKi0caqFDX5ex/9GCKN/rbveIfSaF8VarhWw2695Nej/Ozc25nC30NmBYHPvDbDbrPm+32wiCAGNjY0gmk7jnnntwww03oNFoYGZmBscffzxGRkY6DD3JEUccgaOOOgrlchlbt251HhE7d+509ZIiuL5G6W1YLpeRzWbdtUixVvZNcjsTqDM5MT1U2Sfr3HHyHvRrgEb1G93u2Z72bfa+GssFvme98izFYrtyYPK7qdFoIJfLOWGa+TFnZ2dRKpXchFkmk3HCNcc5+Xy+w/Mpl8u5fm/Lli344Q9/iFQqhVKphIc97GEoFAoYGxvrmAgko6OjGBsbc8J9GIYoFosdOT8th5RhGIZh7DnLVpQCOj2laDzTkOiWFFsKVnpZbx9RHgf0WpKilA/OzlP8CsPdK0LpHCcMW6M3EQ1DfgbsMjQTiQSy2SzGxsaQz+dRqVRQrVaxfft2N/PIxL9Mct5qtVxITSwWQz6fx6GHHoqJiQlXP3pd+fB5B9Do46BMCmUUpBjqooXCbDbbIbqxnXqtPterreVvn9HH7b08fKKEqSgjNIqokDcep59V7XmnXf77CenyheBJgcp3rEzWL4Wpbp5dUV5Uxv5B328afAuZpY/FYk7EluGctVqt4/lgH8bns1wuO69J5olZv349hoaGMDExgZ07d+L2229HtVrFtm3bsGPHDqRSKTzykY/EyMjIvHokEgk84QlPwJYtWxCGoROIarWat3/vdn1cJTSZTM4L3ZEhi8DuflaKsTK/FP/3eW50E6N71VEfs6+x99bY3/QrSjEEj+FzYRgim806Lyl+Lr8rKbKXSiUnLFcqFYRhiHQ6jXQ6jZGREWzYsAGrVq3CzMwMZmdnceedd6LZbGJychJbt25Fq9XCcccdh5GREa8wdfLJJyOXy7mFYmq12v/f3rn9NnJlV3/xUrxTVKulbnW37bE7nthOYg8CJI95yR+cpwB5CJABAuQlA3smASbj8aXH7XbfpJZESbyzSH4P+vbpza1zqooURbFb6wcIosiqU6duR7UX197HFVAnhBBCyGrYWFHKChwScEdR5A1YfM4pva59X3/ue08ejmx9J9+68s2eFpWkBooWtKzrS77tk2WGwyFGoxFqtRoqlQpqtRp2d3dx584dvHjxwgWO4mh48+YNut0uTk9PXbFPEY5ms5mblUrvi5A1JUs7a4bDIWq1mhMHtWNKzo0EQpJC2Ov15mZx03WpfDWbrBsqTbRaxN0ky4dcSfr9pHPuS99JEkl9KQm6oLhu1/bFihChtm2anRao7PKSpmUdVj5hlul7m4m+L5LOjywngjWAObFJxiw7Zso9LvcycDFLXqfTwd27d9FsNtFoNPDo0SPs7e3h+PgYjUYDcRzj9evX+OWXX3B4eIjhcIiDgwM8fvwYf/3Xf41WqzV3/ZdKJdTrdXf/iPNT7oekfbP3sQSNWkiV8UT/7+j3+859IcGsFa6SRD7rdkrCiuc+QStpXQpL5F1EngvEwZSG1GcSyuUyOp0O4jjGYDC4dA/IpCkAnPsbgJspT8aonZ0d/PrXv8avfvUr/M///I977pCJX/7yl7+g3W7j1atXePjwIT744ANsbW25+latVss55uVLNd6PhBBCyOrZSFHK51wSocim7tmZ+bTwkyQU+LYniFNpNps5a7hdPunvUqnkHrBCQoKkselaTfKgpYumy0OQFCMXB1W328Xh4SGm0ylOTk5crZfpdOpeSxHQ4XCIo6MjnJycOJu8fOuoRScfOgVNFzfWx0wCPpklSwqcy6x+tvaXfi+Lo8kex1CwZt/PEjTabWgRMotjKtR+6Lzb9SW1Kmm7ofd8bYb6E5pZT9bxCVK+98jNo8c2cUmFkM+0ky+KInQ6nUszzMnnOs1WUmomk4lzSOmUYlluNBqh0+mgVCphb28Pk8kE33//PWazGX766Se0Wi3cuXMHxWIRjUYDW1tb2N3dBXDhwPrhhx/w8uVLV8xYHJ2helJWzAXeOjbtPosAK8HlaDRCv993dazkSwGdridjgXZu+M5DWp+SzkuW+2rRAJj3KtkE5DlNngUWpdFozM1wp5FnJJmEodFouP9vtu6UnsRFZhmNogg7Ozt48+YNvv/+ewDAL7/8gkqlgmazifF47L4UvHPnDuI4RqfTwY8//ohnz565FEHtIiWEEELI1dhIUQqYd0dJsCCi1LJt2fesoCWvJdDSYk2WNEAhJEjpdCkJSuQb+ziOsbW15b6RG4/H6Ha76PV6aLVa2Nvbw2g0Qq/XQ6VSwWAwcPVdzs/PXY2XKIpQqVRw79499zDW6/WQy+Wws7ODZrOJTqeDg4MDZ0H3Fce2ryVIG4/HLjiVgKlUKjlXlnYcyLTrwLxTQwJjCYB9Mw7ac5XmGljm20vrdvAFij5XVJII5Avy7Tbt66RUPl/baW0mpfDJMvpc6fNi29TCFL8hvnm0O1OTVQSZzS4K89qZ7Ox1Lp8NBgOXJrOzs4N6ve7eFyfD3t4e/vmf/xm///3vcXBwgEaj4RyfURTh6OjIpfK1Wi3s7+9jd3fXLffq1SvEcYyHDx9ib28P7XYbT548watXr1KdkPJ/QY6JrkUlgr6IUTJT32Qycek4AC4tr2f1kzRrn4Dn60/IYZU2Lujl0trPgs+ZxfuXrIukCVSyYAUp/T9a/wYu3FFS4uDhw4eo1+uuxMGbN29wcnKC4XCIX//61+h2u2i32+45SITxg4MDJzJVq1W0Wi18/vnnbiKGo6Mj5PN5fPzxx3jw4AEODw/x5z//GScnJ1faT0IIIYRcsJGilM8lFUWRV5CyD99ZRIBFWUSQ0kggUqlUXBqMnRmqUqnMFRNut9uuyPlkMsEvv/yC4+Nj5HI57O7uum/vnj59iuPjY5yenjqHlTx8Sbv3799HrVbDy5cvXQAZ2jefIKRnOdQuLllehCmZUU8EJrG+DwYD50rQaULauWDbSnMJ+c5BSDiyolPStaCX8znHdLsht5T+zCce6fWypM6FUvnS3FC+e8K3rhawbF0sn5OKQe3Ns8w58N0TwNvJCSqVCvL5/NxU6uKOqtfraDabqFQqLjVPAs5qtYqvv/4az58/R7PZxMcff4z79+/j7t27yOfzbir18XiMer2Op0+fotPpIJ/P47//+7/x5ZdfotFo4IcffnDL6qLFOsU0hLgipOC7dnTqGn/ynvRb3pMaVnIs5P4RMUqn62ghPknwDZ0rK0z5RK7QmGHv6TTnVtI2kkhqn5CbotFouBICdqKUVquF7e1t9/ezZ8/cl2fT6RTffPMNnjx5gkKhgMePH2N7exuPHz/G7373O/z888949eqVK3vw888/u8ketre38fnnn2N7exv/+7//i4ODAxY1J4QQQq6JjRel5EeEkSwP2CGBKuu2hSy1WtK+Oc+6TZmJTwsD1hlTKBTw4MEDdDod1Go1ABe1F87Pz+cKb5ZKJdy7d889aGVBB3+6D1J3RotoEtxJ6pC2yQNws98MBgPnGtNphTo9UZwO4t5ICrZE9AkFWjaAs8XHfe44vV4Wt4mIcLodn+Ajgb0V1KQNW/9J+ga8dUvZdCArDFkRKs1loY+BPj5Jx0Z/xtpS7we+FFJ73uV8S/qezH4lxdDl2hZXQbFYRLPZxF/91V/h+fPnePDgAarVqit4LmKWOKu++OILFzSen5+j3+8jl7uYnEHEahGNAMyNTfr+13WxZrPZpULFcm9J7b7ZbIZarTY3C6mMRzJjqIx7kg5ox2aLT4gKCbk+YSrUlvxtxe5QH0Ju0iwC07Jf2BCyKVQqFfccou97u8zf/d3f4ejoCDs7OygUCjg5OcHBwQGOj4/dco1GA5999hmazaa3+DkhhBBCVstGilLA5Zn3tCCVtVbUdbHoA7wU4QTgakLJNOki1kh9KAmCpDbC6ekpXr16hel0ih9//BG1Wg37+/sA4GbAiuMYx8fHThSaTqdot9s4OztDFEUYj8e4f/8+tra2cH5+jlevXrn+2Jng7H7qmiqlUmlOUBFRSosieqp4SdETkUWnYurjqAunayEu6Tjr5bTAtYirKtRuGj7nXMgBofsUcoLp9bUAZMU163jJ0oZuy7arj7tO4bM/5N1H36P2upVZQsXluLW1hf39/bm6d8+fP3duS3F3FotFPH36FN9++y2Gw6FzZ3722WdO6Nnb28N4PMbR0RFGo5GrofenP/0Jx8fH7pr85JNP0Gq1cHx8jOfPn7ui5a1WC9PpFJ1OZy7NV65t7baUWnl2Vkn5XSwWXQq0zNSnZxyUdqwIpO/3NHFIsIJyVnzjlx1DVoU+Nqtum5BVcn5+7l5L3bm9vT0AcGPP999/P+eGlGeQZ8+e4Y9//CMA4D//8z+xvb2Nr776CsViEZVKBXt7exgMBnjy5Il7VhuPx3MuquFwiM8++wwPHjzAy5cv8e233675CBBCCCHvNxspStmgWGqaaPEkzf3ia++6++z7LdTrdVSrVecw6Pf76Ha7c8KKzJQn9Uwk7U0HSt1uF0+ePHF/12o1lMtl1Go1nJ6eAoCb7h24cE1J8c5nz55hOp1id3cX+/v7Tvgaj8fo9/s4PT3FycnJXD0IPcOeFEbXhcq1q0enBYl7Sj6X/dLpfyIm6dn5sghJPleH9E+fa1/qXug6SEvLS+uXbT8kQGlByDqV5P00h5TdtsYKT75t+37be8QnTi0aYJPNwCemyG8pSLy1tYV6ve7eb7fbOD09deJQv99HPp9HvV6fS88V9xFwIbh3u1388Y9/RLfbxXg8dsFhs9nE0dGRE+F7vR7Ozs6wt7eHZrOJ6XSKZ8+eodvtYn9/H1988QXq9TrK5TJ6vR7evHmDly9fuhRA4G1anlybw+HQjQGyX+Js1GOs7L92Ien/L1p4F1eknq5+0f8lvtTktDFtGXyifNKYlrY+IZvEzs4Otra2XKpuu93G4eEhgLeu7lKp5OpqjkYjtNvtS8Jzu93Gf/3Xf7n17ty5g0ajge3tbbx69Qq5XA5bW1vo9XruGev+/fsYDAb4wx/+gNFohE8//RR/+7d/69zog8EA7XYbL168wM8//+ydMZAQQgghYTZOlLIik7ikRJjSWIePr0C3r/1FWNaV5XMk6Bop2t2jxbdyuTwn/kiwpdvV6+sUNUmzqVQqLiiTIFJmBOz3+4iiyAWCuVxublt2H3SNFRGQrAjoE0z0rGAiSIkDTM8cJjMKyreRWqhJEmJ8fbX4hBbfOqGHx6yuKj2jnbyfFIAKoZQ4ncanrxdf0JiUwmfTB33r6SLP8n6SsEXePXwpZVqQAS7Ea0mnG4/HbkY9AC7AkrFFTwRRLpfdPTyZTNDr9dDtdt31JPWqxNXUaDRc2sz9+/exs7ODVquFRqOBTqeD09NTRFHkxq3RaIQoilCtVt14oUV6/f9CxhxdxD9J/JF0QhmT9P1s77tqtepS+nwiddIYkuU+yiJ8L7r+Mg4tuqbIpiJjiHxp55scRX8Jp2cP1eUN5PlE0O7KfD6PZrOJVquFcrmMDz/8ELu7u2g2m6hWqzg7O8PJyYlzrEs74tTMWmKCEEIIIfNsnCgFzLs0JEDQ/+zTXFGhv0PrZXFS+bat3S0imkkKnUw93mw2cf/+fUynU/R6PfT7ffeNPgD3rZ4ghTyFpDSQfD6P4XB4ya0g7UkRYPkRd8P5+TlGoxH29/fdvpdKJbRaLZfKowuTC7VazaV66WBQB3/5fB61Wg35fB6j0cgtI8WIpWaLzGwlgW0cxxgMBt46THIcdEAdEsWyOqMsiwRhoWssFPBnDUxtW1ocsuc/Ke3StmdnkbSCkxYdrWvKvmaw+m4i95oINzJe3bt3D5988gmAixmvjo6O0Ol03DhWrVZRKpXc9SPTsOtrRbscrbihxztxSdXrddcnCfYajQZmsxmOjo7w8uVLHB4e4vHjx64+zGw2w87OjpsIYjQauXtM+iazmNoi6foaLhQKrm7V2dmZG4/seKHbrNVqiOMY3W53bpm0NNosLkc9ZqySpHvV1x8G0uQmyefzzrktAlK9Xke328W9e/fw+eefI45jHB0d4eTkBOfn5+4ZpV6vuzEFgHu+sWnvITqdjnvuAd6mB8p4Va1WUS6XXc2qdruN169fo9fr4fPPP8dsNnPPPY8ePcL5+fnchBCEEEIISWfjRCkbDCcVOE8THpYRsTRJQb/tpwRCgogGW1tbKJVKOD09RafTmROkxB0ltZfEgaALi6cxmUxcAClpcHEcuxSX8/Nz149yuYx6vY5arYZ+v4+zszM0Gg3U63VXO0bSbmyAKedCO6VE6JL9kT60Wi1EUYTXr18nnjdZXqf0JR3vpPonWVL1srgA0gI5G+yFxEot2PmCWPlMOzLs577XacJU0jVv+64LnvtEMF+wTjYf3zWqHZa53IU7slqtYn9/H61WC69fv8bx8THa7bYTh+WeL5VKAOCEGT0jXehekNcigsm1PhwOcX5+jpOTEze7X7VaxYcffohms4mHDx9id3cXZ2dnOD8/Ry53MeuopNcMBgPEcYyzs7NLwpQ4nnRwaSePKBaLePDgAUqlEjqdjnN46X3Q+yGCflKhc3vM04Rze7zWyab0gxBBP0Pp61McmA8ePEC9Xsfz589xeHiITqczJ/hEUeQmfhkOh044z4qepEVSdYfDId68eYPZbIbDw0M3bjSbTdy7dw93797F6ekpXrx4gd3dXdy9exdxHLu6eL1eD6enp5ytjxBCCMnIRopS2oGk6xfJe8s8RIfW8YkZWdfVn9mZ4+I4Rq1WQ71eR6fTQbvdRr/fn0uBq1QqLtVEHox0gCT98/VZsIGSuAjk4Uz6NxgM0Gg0nDNBAq16vY67d+8iiiIMBgPntDo9PUWv13MPayJIAfA6ELQTp9FooFwuu4c6CRpFwJLXIn5JMXafyOITcpb5Zj+LSCOvl5llTgeitn9ZUvmsCOgTqELOC9tGqF5VaHtyPcr7dpIBBq3vFlYosveNOCEbjQa2trbw5s0bvHjxAsfHxy5Vr1AooFaruZmnpH6UTSX1CcWhMVXGpna77QK3UqnkUov39/exv7+P3d1dbG9v4/z8HPV6HZ9++ikePHiAbreLO3fuYHt7G0+ePMHBwQF6vZ4bQ8TtJ7Wf9PGQ+yKKIuzs7Mylg8sMfPbY6QkARACz4rMmSTBflqT73XJVFyNdkOQmkGvcPvuMRiPs7OxgZ2cHh4eH+OWXX3BycjLnCpcv/YALQarX612atGOR/+fSj263e2lW47OzM9y/fx97e3vY3t7G/fv30ev1sLu7i8ePH6NSqaDT6aBUKqFer+Onn37CwcHB3EQ3hBBCCPGzcaIUMF9/Sf9oJHD2FT9fZDsh0lKjdJqZ72FeHkxGoxHOzs5cvSRdH6terzvxSKftWRFGsNvRtaAkkCwWi5hMJqhWq05QAuBcWp1OB41GA/fu3cP29jZqtRqq1Sru3r2Lfr+Pra0tV/Dz5cuXODk5cemJOm3P57jR+z6bzZzwJd+AzmYzDIdD5+iSWllST8qybDCWJlotE+iF1rHpSjow1T92+7rNtLpQVgDU66Q9cMuxTpqFT99vulg8xah3DwnC9D1pr9HpdOockv1+Hy9evMDJyYlLqZWfVquF8XiMwWCAXq83J3LbccleK3abcs0CFwJXrVabKx5+cHCATqeDN2/e4OHDh/j444/x6NEjV2T4iy++wHA4xEcffYRHjx7hd7/7Hb7++ms8f/7cuU1F5JbJG+w9KF9yFItFDAYDN/ueRs/cJ+KdjFs+wSt0DrIukzYOXZdQRAckuWn0jLs+6vU6dnZ2MBwO8eLFC5yfn7vnHJk9c29vD91uF/1+H51OxxUnB7KVZZB+yDONlBiI4xjb29tzopS4tF6/fo29vT189tln+PDDD7G9vY1Wq4VPPvkEnU4H+/v7ePToEb755hv8/ve/x7Nnzyj4EkIIISlspCgFvK1zIw8MWdxK+nXWh+5lXVfyQOUTBWazGVqtFvL5PA4PDzEYDOZmoavX6841NB6PXa0SAHNFem2bOlgSpFaTDpim0ynK5fKlfolTQYoRy2xZ4/EYlUoFuVwO5XIZDx48QBRFGA6H6Pf7mM1mrvBxsVhErVZzfZRtivAURRFms4uZcRqNBk5PT+e+sdTCiLgTRLiSPtr9lmOuj3+WhzxfGk2ojbQg0ZcOtWrS2g25pbQzKuS4CqXt2HpT9r7xCcJkc9HuNz2O6Pu1WCzi/v37yOVy+O677+bqs1QqFZfOK2NTt9udu0Z0u77rTZCUOhkrJb0ujmNUKhUnXsv40u12Xepyo9EAACeWySx9jUYDv/nNb1AsFl0QOp1O0e12cXp6eml88hUtH41GePnyJarVqptqXo+t+n9PuVx2qUWyT3qWPh9ZBKekscmey1Xi2x4DZnITlEolV5Dcx4cffggA+Pbbb3F6euruwWq1ip2dHYzHY4xGI3S7XbTb7UvrZ3VI6RlFReyaTqcuJVAzGo3Q6XRQLBZxeHiIQqHgnvFarZark/fll18in8/j7OwMZ2dnTtQnhBBCiJ+NF6VsULwJ3+xKup0QSunQtYKAy6mH+v0sD1ASNOlaQPKt4XQ6xWAwwGg0cvUONBJMSr2FTqeDXC6HVquF2WyGarWKBw8eYDa7mGXr/v37AC4eHE9OTtx07hJA6voPOr1SAtDT01P86le/cgGjTveR/oiApdMCbSCtj+mqz709F0niVSjQ9DlEQg6prH0KCUhJ/UjqU5b2fYXOddC8CfcdSUfOmTje9PtyTUq6iwhE+l6WmnQy1vgcT1nEFqFYLKJSqbjxaTgcYm9vb86ZJcvHcYx+v4/T01M8efIExWIRu7u7+M1vfoN79+7hq6++wmw2w927d/GP//iPiKII29vb+OGHH/CnP/1pbryVPvrSjDudDl68eIGPPvrI1aex60l6tfxIGuNVhKg0rPDtu1ezCtdJfSRkE+j3+973dT1GW2dKP0PZMWoRdBsy+UEcxy5l79NPP8Xz588vrTeZTNwsxi9fvkQul8OjR48wnU6xvb2Nr776CgDQaDTw5Zdfutfff/89vvvuu6VKAxBCCCG3gY0UpcTBkcUdpR0d+vUy+ISJJBeWr0/b29soFotulhZBplyPosgFaJJuIui0OJ94JctIHRZd0FO7pA4ODi61oWtZ6Xbb7bYLBmUq9mq1ijt37rjp2r/77jvEcYxXr1659SWdT46ZFpYksG23284NIS4p+bYzn8+7WbD0lPL2eEqgGHI22eDN94Bqz6svgMwSzOl+JDkO0kSpVTgTrMvJ4kvR861rrz97XLOmQJDNwCciyd/FYhH7+/vY2tpCr9fDX/7yF1cnqlwuo1aruZkwO50OTk9PvTNs+tqXAFJcTlKjTsR7SVmeTCY4PDx045FeT9KEgbcFh589e4bj42Ocn58jiiJ8+OGHrvbUBx98gMePH+Nf//Vf3VTt0pY4H6QtEc4lhTmOY7x+/RrFYhGFQgGj0cgVM4/j2I2z29vbqFarODw8xHA4zHRP+46Tfd9HFhFqla4mOqTIplEoFPDBBx+gWq1iMBjg6dOn7jqt1WrY2tpCpVJxkx3o9LpFaLVargZUv99HLpdzsxZPJhP8+c9/ztTObDbDL7/8guFwiJOTE1SrVezt7aHVauHzzz/Hxx9/jI8++gj/9m//hl6vh59//nmp/hJCCCHvOxsnSulvqnUwcZ3bS0uhCIkSWjARUUZqsOh0l1KpFJxBUO+voNfVSEqL1KkCLtJtpDCnDV6s4KDR6SoyJXIURXj8+DGKxaKbHl7qOERRhEqlgnK57PonRcutICgpf51OBx988IGz5xcKBZfCI2mHrVYLBwcHl2bxC4kpSZ/r/QodhxBW+NO1ZULLpb1vA3d7rJZpU7crfdV9XhRfCp+uLaXfI+8mcg+I8Ht4eOgmMYiiCOVy2aWr6WtIv7bjoE/82t3dBXAxPolTs1qtAoCbtU/GcxE7tdPBprSJU3YwGOCbb77BgwcP3LX5+vVr/PTTT+h2u26mURHUpa6MblsX75cp40ejkZvCXdxhOnUvn8+j2Wyi3++7NKO0GVl940VI8PZ9AeH7O6n9UJtJn2Vph5CbYDabod/v4/z83NWFky/LQs9QiyAO8F6vh4ODA0ynUzSbTfel27JOpsPDQ5yenqJSqeCf/umfUCqV8OOPP+LJkydOtCKEEEJImI0VpVbh0siSnhX63CcgWCFEB1P5fB5bW1soFotot9suqJdC4uISkm/ipeC3bEfqK2hhRj7TrgIJKMTRIDPmieMoKzookVpT//d//4enT5+64p2yzXw+j4cPHwKA699s9jaNT/dbjk21WnViRqlUci4DERq1iNfpdDI/DCaJUWn76jtvvuV8M9eFAsjQtiy+WllZgkOfq8meu6xY4conZCU5pRjIvpuIS0pqnhwdHbmZ71qtFra2tlzNOPktLk4RdmTihKSab3JNj8djN3lBt9tFsVi8dK1ZN6E4pnzuJgA4Pz/Hv/zLv+C3v/0t/v7v/x4PHz5EsVh04tLf/M3foFAo4Pj4GMDbmfPiOHb7JP2UejHauelLtZZC6IeHh5mmdk9yXiY5pvT/Ht/44nOqLdIXXx8I2TRKpRLu3buHUqmEZ8+euecZKSQuTkZJobMuqWazOVf/Lo1Go+EEsFKphEqlsrTzCrgQ4//93/8dX3/9Nf7hH/7BPTPJhA4ffPABjo+PnYhOCCGEkLdsnCjlQ8+0p11JSYRcSVnfT9qGdeLIssPhEGdnZ2g0Gi4Y6vV6cw86PidClhnUSqUSzs/PndtB6sJIQfPhcLiSoKPb7eKHH35wbiZxNN25cwcAnItAnAWCfIspAhxwIUwVi0VsbW2h3+9fmlY9jmOcnp563WgWLY6kiZVpzgT9t025W+QYLuo48BUSD6XnZG3XBvu+Pom7JIR2RFkxyv5QmNp8QkJqr9fD4eEh6vW6E4w7nQ7Ozs4u1WPy3Suh+i0ivsu9LKL5bHZRvyqfz8/d+1muIRGpxF0p9eeOj4/xH//xHygWi6hWqy7lZmdnxzmZJHVQT0Qh+yuB53A4RKPRQD6fdwWNRTiX4zUej52LM+v/HJ8wZc+DFvD0ecpCViE7TURfJK2QkOtGrsdOp4NOp4OdnR1Xg+7o6AjHx8dXSmPN5XJoNps4PDx064vzXH6vQiySMeq3v/2tG4ukpp64vwghhBBymY0VpUR8CgUDPqdM0rfNPpJECDutum9d+9oGc9J2lm/urEtK98O+liAPgAvWfIGPLOtz/th9EGR5PZvbZDLB2dkZBoMBqtWqq2cl64sgJYGrBHnVatVNzy7pL/YYiXvM17/Q31kEqbTgLeQ8WMaNkNZWyI2kz5k+T9cRJIYCZovPHXhVxyK5frQ4niS+6ntQ3D8+cVbQAo0PfS2LI6BYLDpXgx4XfOv52tN9kDFRUgul5pR2ieZyObTbbZciOJtdTOhg06Blm3fu3EGpVHLOVp+7YjKZYDAYXBpLksaVRd24iy4v76WR1dWZtT1C1oWI0fLsFxo/fKS5pMQlCVw8N8nMnZVKZaX3gbhFZV9kHzj7HiGEEBJmI0WprAGwrz6PT0iSh/urBNZRFHlTOCQ1RqYOn81mzhm1SGpVkpNFPq/VanP1qgBcetCxAWUobUzQM/nJOlpMieMYjUbD1XSQaZhFRNMPj8Bbx1alUkGj0XDFjiX1R9oU18V0OvW6vNJSWnz43Ee+INIG4fa4WZIEJ+0sSeqn77pM65v8rc9NWl9D7Wb53JeyZz8nm8dsNnPTmPuEx0KhgEqlglzuol6SLtjtc+r5hCnfWKbvt8lkglar5QJDEcmypL3ZfbF9Ad7Ooqe3LcJUs9l0rqd2u+3GJt9sklLvrlqtolarYTQazQnjcjwkRch3P9pjsMi9pv8XJYlHWcalZaAIRW6Ker2Obrfr/SyKIjSbTQAX1+jJyYlL1ct6zaY9b8VxjN3dXbx582bunpf7fFXoe1sc89vb29ja2sJsNsPh4SEdU4QQQohh40QpX8qQ/sxHWmrFIsG0Fhd0Xakk4UGCPXnIkUBsGSHMJ1JIUFir1dw0ytKurvGk37d91c4vvQ3rCPMJItr1ICKYLnIubgV5PZvN3Exep6enrg1pR//I8ZL6Vfo4L3LsfI4qn4MpKcCU47EocpxCM0Zqp0baPi3j7loFuri5r78UpDYX3xiprxNbvD6O4zlhJOkeSdqmvldns4tUPSkyLixbS02jxSWfu0vSYyStWC+jj4m0M5lMUK1WUS6XcXJygtFo5I6P7p8cpziO59ygoWPhY1NEoE3pB7m9JAnUkuomzzOrLgwu/6Nl4gU9Li0qnKdhJ2+QL+Wazeacg5MQQgghb9lIUWqZZXwpR6tCp7r4mE6nGI/Hc8XI9bpZ+xISpCQlRj+ohcSVRQQdX00rn0g1mUxcQWFb7Fheiygnbio5Jufn5wDeui2kmHEouMvyXhYWCbSzBmwhZ5MvNcnnqFgVtv2kmfeSHBnWWab/9gkdFKY2k5CTST6TwMi6jbK6cdI+L5fLKJfLrjh6mvCbtV27rNxrdh9kxlNxZVpxVZD3dOArM++FBOU0J2SaI9NuP2n/7D23KiGJghTZBJKEJkmXvY5ZXnO5nBOhQ06tVWLvN9m3arWKfr+f6oonhBBCbiMbN8+7TW24altXxdb50d/QS18lBU3ElqRvzUOfh9aRVLhyueydGcYXWIba0iJUlm/rdNsyM5et0yJCnLyvZ8YZDocuYNTH0RfIybG0xbazcNXzrLe1Kted3ge9T4K9DkJFpEPbX3afbX2dUFqh7m9SUE5unrQxRcYnO8PcVZx3sl6hUEC9Xp9zcWZddxWIaN7r9dDv9y+l7Ont6Qkp+v2+K6Qsx8a6x+y95hOONPb/1k3cL7xHybuIfIG1atcScDFGNZtN1Ot1NzvnOpEvNUU0J4QQQshlNsop5RMikgKYq6R3hdr3LWdT36ybKCQULJOqYoMhnXYT6vOiqTCLoAUpQbsK5FhoYUpmCywWi64ouq4hJfsmBZGleLFsL0sK21XccEkCoA5M04qm+oSapH7Z4NYnKCZdL6t0T4T6ZmuE+X7TebGZhK4jn2DtE0+ypqZpIVkcklKbKakt226W5Xzo7U+nU3S7XXQ6nUv7LGOOFZrK5TJarZYrctzv9y+l/AHhlNYk4cnnOtR9SnJbhf5OIun/QqiPvv95Wa8HQq4Ln7txVW1KCYGbYDabod/vZxbtCSGEkNvIxolSuvD2ImlVq0oxCgUcIr5ot1Eo5SNLf+02beAoNRYKhQJGoxG63W5qgLgqdEqeFuPK5bKbph24XGheXAv1et0FizITn9SgKhQKrj6LFn9yudyltD6fa+GqJAXl9rWc71CQJu9LHS2fI8oub7e/TAqTb720FL5FCDnVdH01stksMnba5UOCq/48l8shiiKUy2XnONL36zrQAacITFLzTrujpL8yBm1tbaHX62EwGKBSqbjJG2azmUuVFmwB9JAjLfSFRJZlF/1yJYsr1m4zy+d0WZGbZNVjh0zwUKlUcHZ2tvI6VYQQQghZHRslSlkHTtY0syykCRs2pcwXmPmEKd13qU2yaL98D2NSe2kZriO40GloURShVCrNnSMpMCxBnVjWZbnJZDKX4gi8FR51nRdbM2YZsrit9H7p1z4hxs5+Z5fRIp3gS5XK6tbT+5D1+s+yXJLLw3ccfP1NEr/I5qFdhVK4W3+WZX2LtCH3/DKuxVUIzfr+0uJaoVBAFEVu3NG/i8UicrkcBoMBer2ec3TOZjNXj0q3D7wVncWZleQkSjpeywjRvnaybj8kolunZkjoWvRaIeQqTCYTnJ6errS9bre7ljpShBBCCLkaGyVK6eBGB+Q2XW7ZtgVbV0djgyX7MJ4WkGcJtnRwYgMVGzj41kti1YKUHPt8Pu9cBfV6fU400SkuhULBFfUUN0KpVEK9XnefTSYT16YIXaPRaO6bTJ8YpF9n+XY/a9pS6LX8lkBWBDjZ76QUTglkfX3Vx85XY0IHiT4RKMs1ucx1IGmY8noVbZKbJyTe6M/T8In1dhzLKjRZB+Qi45rtdxzHc87S0WjkHJ123wuFAorFItrtNur1uqsrJY6vYrHo6r7o2fYKhYKb7CGXy7nxwNd3e4+HxpjQPofeT3KtyW+fGO9bT4vOtn/6/64V4QghhBBCCLkONkaU0k4cYL4myHWxqrQwnXIoNVaSZnPSr31pWMsEeVfFFnSXoExcBxKYyY8sH0URisXipZm3KpUKjo+PUS6X5xxWsg0d8GmRRo6fBJr2GvAFxfoYJLkHfMG5fq1/WyeBHAtxRem2fedRH08JkPU1HnJd2f3MQhbhSrdrl/etbwViWY4pfO82IXeMbxkfIbeNfLbotZG2bEiMssJKLpdzTszxeOwmZSgWi3NjityL5XIZZ2dnTkiX2Qn19a3dUVpEt8JtSIBKO4728yyCku8+D7kcrUCmkS8G7JjoW4+iFHmXiKJo7hmFEEIIIZvPRolS+ndIlEqq45TF3eFztwj6ATwt9cHXnjzkhwQTuy0fNmXPBpFJAULoW/ks+EQSEWIkcAOARqOBUqnk3AQiVunAr9FoIIoiVCoVRFE0F8hpRNASp5SIW8PhcK4oadK++453kkPKCk8+QapYLM4Jjdqx53Nc6ZREHZj7jql2WOXzeZc6pJ1YWsSS5cSxkMXh4ns/S9qd9N2Kw/b46HRL8m6ir+MkQdcntNhrexmBMmmbob6GxBfgrTOx1Wo5QVvuMz0rahzHaDabzr0JvL3H7b2Vz+dRLpfdGCf7ql1Ytp9J/1Ps30nOKb2MFrj1mCzv+cYle15DwpN+z9cXClLkXYMz3BFCCCHvHhslSoWEKY2eunuRtn1oQSNre3Y529ekNMOkb8aXFbGWxVf/yG5f3pPCv5PJBMViEc1m06WeDQaDOWeTLH90dOSmWy+XyyiXy3NBnTgYZrOZm51P/50k7CWdA8G6A0LryLVUqVQurWvrmmk3l75mtONACzv2WOv2fG4s3Tef2KZZxuWyCKEZ+Ba998hmk1XIThJTQvfWotuX9uR9+zrklhLBdTQaoVKpoFarYTweux8742e5XHaz9clYI9e7OCxk2dnsotaUFoSSxhbfvofuc7sfvmVEDKtUKnPCtXW2ho5dqH96fNJClvxYR+QiIiIhhBBCCCGLsHGiVNK3x3rZm8R+C60f9BfpWyg9IkkkCwU3Qhbngk84s+/50swKhYITmERckmAQeJtaolNotLiiZ8rS2xCXlPxdLBYzpW5mCYaTgrNc7u0MYvl8Pljo2G7D597TAZ0WU2Wbvlm8bKCnHVE6TdAW/L/uwDApcLaCG7lZlhkLFxHh07ax6Di0iNAacvPo61GvK0K3rm03GAwAvJ2MIJe7KPgu7ilxVPlqJ8kYNBqN5lyhtr/63vCJZ1nRY620UywWUalUkM/nMRqNnIPUOqKsK8qKiLpN3UfrYrXH3DqLrSPLHodl9psQQgghhNxuNkaU8gk6vgfgLAGxDhJ0m2miUVqgZp0C1k3ic5bYfbkK2kET6pN9Lf307Yegi3Jr8UT2T6clSsFfKQwsKWgiTuVyOfT7/bmZ9sStIKl6sh1xAdj3dKCo087sa18wZmfHCh0XEX4qlYpLRxR8opPP3WSX19u1TgQb+PrSbkLBoZwfPdNZkpMqqzDpSwn0bd++HzoO5GqkiappyyaR5NJcZvtZtudbN60933VtxRAtxIjYJPeYjDWSTgy8HStkbBFxx4rIdryT8UnQjlDdD91XEa30ZBrLuh1zuZz7EmA4HHrF6dB4pIVxaStJxPe14ZtoQq8bcmYRQgghhBCyCBshSllBxwbuPkLilHZz+Nw+ScG2/u3bnk90yiIKJb0XSvlbVDzzzSho+2e/PdfYtA1xGxSLRSc6icug3++7ouXyW4s6UgzdJ4bpc6LPk8x8pdsE5lMLk86jz6mUdi6l7pX0WT7zOdi0o0Da17VmQlinmO6fDepkWR0M6oBPhCQRp6R922/pm33P51TzubSkb7aemK4lVSwWvXWlsogfxM8ix2pZMTJrm/aaXLR/q8CKLtblY+9PAC5lr1wuA4ATzvV+aEFc/rauJ/1/R1xSspy+L0OOJb0P+nfSfup9FMFNXKmj0WiurlVoYgN73kL3o03Ps+NdUp95jxNCCCGEkFWyUaKUL7hPKs6sRQ4ALoAWMUUXlE4TnXz9CDltrADkWyaL6yBJPEl7zyeQaZL6mNQ/HbSIk0gCIxE24jh2xch1QWGZsU8CQnFHyXo6JU3PZKfFL9m2/Ngi4roNG6RaUSoUcMl1UyqVUCqVXE0r3zYEX/qcCFv6fZumByA4E5D0UV8Xtuiy9Fu2I440XbzZbtsKdPaY2HWiKJqrVaPPs04nlOVFFNPF6PVx0UhqJ9lMsogoqxQdsgi4vmWtAKXHfhFQRSSdTqfOqalFHBGbSqXS3BijxSb9Wgv1ejwNOYzkPpF2lklBlvdEqM/lLmYVlPso6fjZNpK+hLHjju8LC59Q5Wsn9F6W/4GEEEIIIYRsnCilf6zoYNcB3oonImpYUco+mIdmIQsFHXpbSU6dkFMpKbjLOmVxkpPKuqF8v9P6qfunXTTFYhGlUgnlchmj0Qiz2Qzlchnj8RidTgelUsk5CLS7KooiF8xVq1W3rg74ZFY+WVeEIR0A6nMlv3W6jr0+fKKM/G3Pi+ybCEYivPkCYfu+rz6U/swu7xOEdD99xdTttaID8CiKguk8ITFK982KePp9OR5alNIOK3FhFQoFVwBab99eTxSlwmhHy7JYF5N13ejlfO6ZrCJByHmTpU+2nWXwXVsiRknaXhzHKJfLmEwm6Ha7bnZP6w7Uqbi5XG5utkt7/8p2x+OxG+N8zio9BlmnVdL/r9DxkG11Oh2XFq2Xt8JZkgDkG3Ps/wg9m59v/2U815/bY+DbftI1ExL3CCGEEELI7WIjRKmkOlE6oJCHXy06RVHk/ra/faJUEou4jnxikG/dLOi0qKR+hdbVfdLrJLmtkr5Bl8+1QAS8FYRkVir53J4PAKhWq6hUKtje3sb5+bmrRSXBnU4NK5fLrsaLLy1FiyV6OnYrrtiivVas0o4uEc/G47ETyOxx09uw74lTSI6TXUZvV15bYU47KvRy+scigXYURRgMBpeOgU+MsuKTvOcTwnRdLy1Qyec6NTNN4JjNZs5RRy6w19RVBClpz/62tctkW/rvUDt6Wd1He28mCS3L9D9tGT1u6Vpoct/LuGCFUj2uyr70ej13D9VqNcxmMyfA2vtTHzcZX7RArsWc0D3rE2aS9luW17WvQiKQbUf/r7T7bl9bMd2KXDbt0Y4Zui1db0tSe5OcYlkFTkIIIYQQ8v6zEaJUyCkFzDtkxA0lgbl2Rdm/JY0irbi57oPtj31f/pZgxPY1iVDwrgMg37Gw/dNBV5owliRKaazAIMdNjqU4i0SUEPeBrCuBiMxqJetEUYROp4MoipDL5TAej527Su+7HM9+vz83u5QIJNrJY4Mh3++kIE62p1MH9ef6WPiKCutjJumG9pzK39KGdhhowUqcHvL+eDyea9MGycCFIFitVueOkRXoktL47OxhVsSSHxHdRIDS534ymbhzliRUzGYzlEolilL/Hzk+SW5FvWxIWLLL6XNvxzx7X+jlrKDp274VM62zRt6z49OiXwb49tHev/b4+a5pnVIsIom0KbOCAm/vv3a77YR0uU6tI0juB0mZ1UK0FXp9x1fvZwj7P2Eymbj+6IkoQsfONy7q4+Trg+ybHvOsCKnfj+PY9cUn0stPqVTCYDC4dN6S9lnvS5bjRQghhBBC3h9uXJTSQZR9oNZiUxRFTtDQApQViGT9q/RHv9b90781vpRAK2L4gipZDrgsjviQGk2yXkg0sdtOQwIT2ydBAj1dYFv2ZzAYuPUbjYb7TI7TeDx29ZtEzJKASweTURRhMpmgXC67QC+O4zm3gO+bd1/wboMrK/jpZW0gpJ1BGns8bV90YGivFxs42oBfzr2uZSX1cKQvOoUujmM0m03nWkoSoaQt+VwHuFaQkv2y7iip12OFyUKhMCc4hUQpPZX9bccnEoVIEqPsMsBbgdiKASI+6OXt37aPVtCwoq3evr6+RYD2bSNJdAj1Q3+mxSL9t9xDOg1P+q+FnVKpNCemFwqFOSefpB3bn1wu58Yl7RKV9n3isI8kwcUeGztGJB0njXbJ+Y6jHQ/1uG//r+njLP+P7Zjic4mORiM0Gg10u93EFPWsX5oQQgghhJD3m40QpawzR6d2yYO575v5kIgjgXrITQNcTgnRbQs6PUMEFiGr28GKPTYo1G0lPcDrb+htnSVf30P9soGHdf/IMdXfkmunzGg0cgGKbF8EJvkmXVxTZ2dnqFQqGAwGc4XndaAlYpfUgZFtx3Hs6sSEjkvovPpEOb0v+se6HMQR4Ds+OiDUy+jzJ+dHC0F6fV9fdYFmEXwE33UiAbhNkQmJUrYfdlmfQGHX19edT+Szx0raKJVKiKKIohTCxyurOKX/1terjAva3RJa34pIPqEWwKVz7du2fk87Wn3XX2g/suBz8QBvhSW9XL/fd+/r+0u7oOT+OT4+RhRFGI1Gl2arlGX1eB2asU+2nSay+fYp6XPdbkjY08vq8cX3/0/jGyN1rS29LX1+xTnp+38s78mMpr6xONT3NLJeK4QQQggh5N3jRkUpqUEkdaG0W0g/rOqUIt+3uRJ46MAlTbiy/QAuO6N8U3Dr2eB0HwTbRxv0hQQA+16SQJW2H3rblqRARfc3l8thMBi4cySOl9nswh1VKpXmgpbZ7CL9TIryShA3m81QqVTc59JPLayJmFUoFOaK+kpQqMXAkHvE524Kfa5rYdngLYs7RfqdJAraz8TNYZ0Pep+EOI7n0hitkBnHMWq1GvL5/NzMgT5HhRUI7G+7TprbQ9CBadLyeobDpLppt4Gkey5JdBDsObViADBfzD4keoXGgCyitq89vY49xyF3VOg+SxIttFAm4rGkvEpKd6lUAoA5F60WiaWNYrGIcrnsatpJez4xRxxSxWIRw+HQtSu1rOT/RNbjF1rGioX6eISca1actG3ZLx1kHfu5/vLB16buh3bNyvG1Y36tVptzr/n66DsWvmuLghQhhBBCyPvNWkUpLXiI8GOFqKxikhai9De8dl1ffRXbJx1UyDfv8reePcz3oC998X1bbZfxiQO+dnyfhYI5va++oD8UeOrt+L7x1+dFp46Jo0ncBbJdvW9Sd2g2mzmBRdJcgPnAWYs72m0hwd54PPYWzQ0FgHqf7Lf++n19DOQ9m5pkRT6fgGPbsAKkL6i2daLseZCgT2/P3g/j8dj9WKHTCku+z33HS58TXVjeJ6b6HDk+tPCcVPj4NpAkeC4iaPjuffnbXrO+PvjG1iznxTd26M/SBAff3yHRKmnbemzXXxLIvmlB196Pui2pJSVisU9klfFJu6lknJDrOUns8ZG0v3YM0eOLz53rOye6D3ac942V+m/ZL912aDlf23KMdFqxbz+Tjonvb0IIIYQQ8v5y7aKUT4jSv3XKmBURbJAlQpSuw+NbVz6z29d9sgGifLNuBRL7zbH8Dj1wJwUcPjEgy/FL+iyLMCBY0UX6YZ07VsgT8UMCPu1u0n30CS06dUa2JQKVnE/5zNZR0ilqtmaLDdDSRLYQIWeA3gaQ3bmW5tgKbdcKUlYM0vsrx0KOZShV0CdS+cQqu460K+faJ0xJ4KnX1ejjKC4TERhvO2miRdJyy4hJWUhrN60f+v0s+5c2Hut++MRbLUwBcMX3ZQzXKbW2Tflc30tW3JK2RWiRbeix3wrTVgDPsu9Z3s+6jD2mIcEqqS0Zf+0YKn9bd6kPcVFl/d9EAYoQQggh5HZzLaJUmhDlE6ZC4pQOAKTgtrxvvzXXgYZPYAg9hMs6unirL83OJz6lPXhnFSmS1g9hgyDfN9s2IFlGKMvn864ulAhKVhTUoomt8zIYDOYCO9mWLXaugx0tkPiEM31sfOdFizlpolSSKOc7NqHzGUqftMdf7xvw1qkhn8kMZqFzI68Hg4FXlLL7lOaQ8q0r9by0QKb3XQJ5K075+ivpVeLqYhCaPRBPEzuWEbfTxi5fm1nHu6zLZF0nJKLYPtoaePKeT1zTy+rUcGlX36eyjr5vk1w9WUU5ezx9x9y371nbziIi+sYn+Z0kZOnPQm2F3KCEEEIIIYRYViZKLSpEaUFKv6eFE3mQldoh8m24BBa6CLkWoqzTJ5d7m6Kn+6t/Z8XWi/K1oQObtIA9rQ9pRb6ztLEIoeBBgj0bbOjzpQvD2/6Uy+W5dgC41MikQC/kfrLbDu2DnpErJDTZ7WcJ1m2/ks6HL7jV7/sCOFuLxbY5mUzQ7/e9s9+luaR815QOuLVTKkmU0qJhElIYX9xSDFAXYxFBKK2NRT/Lsuyqxp5lsGJR0nWv7y99HUvNKOuQWtTxs8j/lEXG75Awl8Sq77GQgOXD1vEihBBCCCEkiSuJUosIUWmilH34t84UcUlJ8K7XA+DdTlJAkVSfI7SvAFLFgixtZSWLSyr0fkhksZ/rICPJNZVWRFwcM/ocaeQzLczo4t+6dpclFGBdRVDUZHWyJTkkkpb3nQtfcKcdHr7l5dhJwCeF59OEpySBz1cnyydKyed2+azHTgpR61nRyGKs+pitqr2bOpd6/E0SlpMEad/6+rWvwPimCXOWkJMpaRwNjW1JQr7v86TtEEIIIYQQ4mNhUSok/CzijvKJSiF0kCzfwFoxC0Dq3xoRUBYVpEL43FNZ1pMH+JCrZtG0v1A7vm1qQmkWSa/1cdbihE/4kfNXLBYvbUecPtrxY/GJKXrfko5zKAUlqf0k95Xs66JpmaFjaZ1mumi8vX5LpZIT8Pr9vremkw6ofcKUfW2XkTa1IKVrgtn1s1IoFFwan28GS0IWZRH3l2+Ms6KWFad8rsbQNjf9evb1L4vInlV4FyhKEUIIIYSQRcksSoVS7dKcUL5lNGkPsBI4iCglP9KnNGFKt2HFhpCYlPSeb10rcIXaWObbdJ/4kTbDVlIfLL7UFsBfBNvXrhUn5VhYESSOYwyHQ28b+pyFgpo0YSppX30Cj2+/0lJTdMDqKy5ut5e0H74C5lJYPCR2Sbv9ft+73CJuKfu5fCb7ZWtKZSXpWpMUPrqlyE2QJsIsI8qQeXi8CCGEEELIomQWpaIoupIgtSzWKRXaPnB51jhBB/4h55SQReQIrZu03qLHQM8qZVmmVkdImEtyBQDpaXu6SHCSmGP74WvL19+sfclK6HrUQk6oLpZ2hKW5y5L2OU0YknW0Kyufz7tZEG2qo2/7ywhSet1lg8uk9cQppWf1I4QQQgghhBBye8ksShWLxYUFqVWRVZQCwml7WWpIhcSIrPsSElZ8LOuaAi67bEJo4SHNFSYsIwKFxEDbXprzLE3UuqooFZopTshyXJNcTFney9pmKA0vtI0sDrek9mR7tpD5Ksnlci6NT4QpOisIIYQQQggh5PaysFMqyS3lq2m0KiaTiXON2Do8qxKl9HJZlk1aN2m9q6TxhYQmIS3tLpTa6Ft+ERHIHjffdrOmQ/pYhUvqOlmm1kySwKUFoqR2087XoqKUfC5/r1qcElGqWCxiMpnQLUUIIYQQQgght5jMolShUPDWiFqlIyoNXfNG+qHTqIDsolSWNLKriFJZakxlJVRUO+t7oTZ9/VlUlLLHP2l7SdfLsqKUb8a6dZNVkErrY5rrKbRcWttZ0/fkt3yWVN9qWfL5/JxbiqIUIYQQQgghhNxelkrfE9YhSIUKbFuBSn58xaqz1j7S4s8i+2mFkVW4o7RIs0phQPqRJAYsKqZkRRep932WRKjY+1WEuWVZZEaqrMKe7+9VOKV82witY91R15VaVygUnDBFtxQhhBBCCCGE3F4WckpZbqoejC+ItyKSFqDSBCktcGQVo3yi0VWKm1tRRosFqxb/fAW6Lb7PlhF79H4lpaQt45TKkr64ShadHh3I3p+0mcCypualbTOpKLsWoq7z3s7n884pVSgUKEoRQgghhBBCyC0lsyi16fiC7ZDAZAWqUN0lixWiruKIuqoIdZ0utSxFu0POJU0ul5sTHJadydC33VBKY1IfV8migh6wGoEqS6H10PpJ7a5bYJY0PkkL3vSaYYQQQgghhBBCVs97KUr53ktzMSX9La99QtSyBdDTRIB11upKI8ux9bldFnWKLSJMrFrEWEV71yFUZRWS0gSmTZvlLpfLzbmlKEoRQgghhBBCyO1jZaLUpgW9lrT0KCGL6LSowJV1W6ski+tIWEYQyOous4T6lVSP67rJeu0uK5wsIlZd5e9NvweB+dkfxSlVKBQQx/E70X9CCCGEEEIIIasjsyh1WwLGrOKVkDWF7yqz8S0j1KSJPIucz6TZ5ZL65vsslPaYtt51sIpjkOXzrLPzLfLeu4p12Gm3VBzHN9gzQgghhBBCCCHr5r1J37sqywb+WddbVLxZZpnrIKugskohbt31sq66zrKfL9OXTUrrvCq5XM7NwhfHMUUpQgghhBBCCLllrF2Uep9cH4uwjJPmXWLRfVhEXLmqEHPdguM62cQ+AcufIytMEUIIIYQQQgi5PTB9j9wIq0ydIzfPsudIRCkRpgghhBBCCCGE3B4YBV4zFFRuJ+9Tmt11o4ueE0IIIYQQQgi5PbyTohSFHrLpvEvX6CYIaBSlCCGEEEIIIeT2kVmUktncgM0IYgkhq+GmBDQ9jlCUIoQQQgghhJDbx1KiVIiriFXXLXRRSCNks7BiGEUpQgghhBBCCLldZBalJpNJ4ueLij7LiERXWeeqbhCKWiQEr43VkM/nb7oLhBBCCCGEEELWyJVEqXULS5u0jWXXucp6190WWY53pX7Upl8rFKUIIYQQQggh5HaxlCj1PolEm7ov69zWqsWKTRc/bis3IZ7xWiCEEEIIIYQQEmIhUWoTBZxNFm64zs2JZBRDNoN3xUVGCCGEEEIIIWT9rLTQuea6xaVNFUg2tV9cZ/PXIYQQQgghhBBCbhMrK3SueR8EqU0WL9axL8uux3U295xSKCOEEEIIIYQQskmsXJTaNEHqfRII3pd+rXtbt32d96lfhBBCCCGEEELeHzKLUllZtIbMddSceR+ErmXW2dR+rXOddW7rfVpnU/tFCCGEEEIIIeT9ZeWi1CZwk8LY+yQGcJ3NFsY2+RhQsCKEEEIIIYQQksZ7KUrdJDcliG2ycMB11rut920dQgghhBBCCCHvJxSl3hOWEbeuIohdRVzYZAGEgtPy66x7W4QQQgghhBBC3m0oSpGluIqgtci6Ilhc1VG26SLL+ygcUWwihBBCCCGEEJIERSmy0awqvXHRdm5SDNt0sWnd2yKEEEIIIYQQ8n5CUYoQDzclhgGrEW/eBbGJIhUhhBBCCCGE3G4oShGyYaxCELupdMerrEuRihBCCCGEEEJuFxSlCCGXWFfNMEIIIYQQQgght5f8TXeAEEIIIYQQQgghhNw+KEoRQgghhBBCCCGEkLVDUYoQQgghhBBCCCGErB2KUoQQQgghhBBCCCFk7VCUIoQQQgghhBBCCCFrh6IUIYQQQgghhBBCCFk7FKUIIYQQQgghhBBCyNqhKEUIIYQQQgghhBBC1g5FKUIIIYQQQgghhBCydihKEUIIIYQQQgghhJC1Q1GKEEIIIYQQQgghhKwdilKEEEIIIYQQQgghZO1QlCKEEEIIIYQQQggha4eiFCGEEEIIIYQQQghZOxSlCCGEEEIIIYQQQsjaoShFCCGEEEIIIYQQQtYORSlCCCGEEEIIIYQQsnYoShFCCCGEEEIIIYSQtUNRihBCCCGEEEIIIYSsHYpShBBCCCGEEEIIIWTtUJQihBBCCCGEEEIIIWuHohQhhBBCCCGEEEIIWTsUpQghhBBCCCGEEELI2qEoRQghhBBCCCGEEELWDkUpQgghhBBCCCGEELJ2KEoRQgghhBBCCCGEkLVDUYoQQgghhBBCCCGErB2KUoQQQgghhBBCCCFk7VCUIoQQQgghhBBCCCFrp3jTHSCEEEIIIYQQcjPMZjNMJhNMp1Pkcjnkcrmb7hIh5B1mNpthNpthOp1iNpulLk9RihBCCCGEEEJuIdPpFHEcI45jjMdjTKfTm+4SIeQ9QMaWyWSSuixFKULIe4F8q5dFjSeEEEIIIUAcxxgMBsjn8xiNRsjnWd2FEHJ1xIHZ7/dTl6UoRQh5L6AYRQghhBCyGKPRCCcnJ+h2uygUCgDA9D1CyEoQYSqN3IyRHCGEEEIIIYQQQghZM/RnEkIIIYQQQgghhJC1Q1GKEEIIIYQQQgghhKwdilKEEEIIIYQQQgghZO1QlCKEEEIIIYQQQggha4eiFCGEEEIIIYQQQghZOxSlCCGEEEIIIYQQQsjaoShFCCGEEEIIIYQQQtYORSlCCCGEEEIIIYQQsnYoShFCCCGEEEIIIYSQtfP/AFURZg22ysNNAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -32,7 +44,9 @@ } ], "source": [ - "demo.demonstration(rotation = 35, ef = 0.6, deformation=False, initial_contrast=4000, device=device)" + "model = demo.load_model(deformation=deformation, device=device)\n", + "volumes, targets = demo.get_demo_data()\n", + "demo.demonstration(volumes, targets, model, rotation = 0, ef = 0.6, deformation=deformation, initial_contrast=4000, device=device)" ] } ], diff --git a/data081/HCC-TACE-Seg/raw/1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229/00000001.dcm b/data081/HCC-TACE-Seg/raw/1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229/00000001.dcm new file mode 100644 index 0000000..f69bce1 Binary files /dev/null and b/data081/HCC-TACE-Seg/raw/1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229/00000001.dcm differ diff --git a/data081/HCC-TACE-Seg/raw/1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229/LICENSE b/data081/HCC-TACE-Seg/raw/1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229/LICENSE new file mode 100644 index 0000000..b5a091f --- /dev/null +++ b/data081/HCC-TACE-Seg/raw/1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229/LICENSE @@ -0,0 +1,14 @@ +License Information. The HCC-TACE-Seg collection is distributed under the CC BY 4.0 at https://creativecommons.org/licenses/by/4.0/ By downloading the data, you agree to abide by terms of this license. +Data Usage Policy + +Any user accessing TCIA data must agree to: +- Not use the requested datasets, either alone or in concert with any other information, to identify or contact individual participants from whom data and/or samples were collected and follow all other conditions specified in the TCIA Site Disclaimer. Approved Users also agree not to generate and use information (e.g., facial images or comparable representations) in a manner that could allow the identities of research participants to be readily ascertained. These provisions do not apply to research investigators operating with specific IRB approval, pursuant to 45 CFR 46, to contact individuals within datasets or to obtain and use identifying information under an IRB-approved research protocol. All investigators including any Approved User conducting “human subjects research” within the scope of 45 CFR 46 must comply with the requirements contained therein. + +- Acknowledge in all oral or written presentations, disclosures, or publications the specific dataset(s) or applicable accession number(s) and the NIH-designated data repositories through which the investigator accessed any data. Citation guidelines for doing this are outlined below. + +- If you are considering mirroring a copy of our publicly available datasets or providing direct access to any of the TCIA data via another tool or website using the REST API (https://wiki.cancerimagingarchive.net/x/NIIiAQ) please review our Data Analysis Centers (DACs) page (https://wiki.cancerimagingarchive.net/x/x49XAQ) for more information. DACs must provide attribution and links back to this TCIA data use policy and must require downstream users to do the same. + +The summary page for every TCIA dataset includes a Citations & Data Usage Policy tab. Please consult the Citation & Data Usage Policy for each Collection before using them. +- Most data are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License or the Creative Commons Attribution 4.0 International License. In rare circumstances commercial use may be prohibited using Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) or Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). + +- Most data are immediately accessible and do not require account registration. A small subset of collections do require registration and special permission to gain access. Refer to the "Access" column on https://www.cancerimagingarchive.net/collections/ for more details. diff --git a/src/app.py b/src/app.py index e4e7b67..0298953 100644 --- a/src/app.py +++ b/src/app.py @@ -6,59 +6,44 @@ import streamlit as st import torch -# Now you can import from the submodule -from diffdrr.data import read -from diffdrr.visualization import plot_drr -from drr import create_drr -from model import TACEnet -from training import loadData, sampleVolume +from demo import demonstration, get_demo_data, load_model device = torch.device("cuda" if torch.cuda.is_available() else "cpu") # Set the page configuration -st.set_page_config(page_title="DRR Enhancement Model Demo", layout="wide") +st.set_page_config(page_title="Tacetastic", layout="wide") -# Caching the model loading to avoid reloading the model on each interaction @st.cache_resource(show_spinner="Loading the model...") -def load_model(): - model = TACEnet() - model.load_state_dict( - torch.load("../models/TACEnet_vessel_enhancement_deformations_30052024.pth") - ) - model.eval() - return model +def cached_load_model(deformation, device): + return load_model(deformation, device) -# Caching the DRR generation to avoid redundant computations -@st.cache_data(show_spinner="Generating DRR...") -def cached_create_drr(_train_loader, contrast_value, height=256, width=256, rotation=0): - _volume, _target = sampleVolume(_train_loader, contrast_value=contrast_value) - subject = read( - tensor=_volume[0], label_tensor=_target[0], bone_attenuation_multiplier=5.0 - ) - return ( - create_drr( - subject, - device="cpu", - height=height, - width=width, - mask_to_channels=False, - rotations=torch.tensor([[rotation, 0.0, 0.0]]), - ), - _volume, - _target, +@st.cache_data(show_spinner="Collecting the data...") +def cached_get_demo_data(): + return get_demo_data() + + +@st.cache_data(show_spinner="Generating the results...") +def cached_demonstration( + _volumes, _targets, _model, rotation, ef, deformation, initial_contrast, device +): + # Your existing code to generate the figure + fig = demonstration( + _volumes, _targets, _model, rotation, ef, deformation, initial_contrast, device ) + return fig -@st.cache_data -def cached_loadData(): - return loadData() +st.session_state.deformation_checkbox = False +# Load the model +model = cached_load_model( + deformation=st.session_state.deformation_checkbox, device=device +) -@st.cache_data -def cached_sampleVolume(_train_loader, contrast_value): - return sampleVolume(_train_loader, contrast_value=contrast_value) +# Load the demo data +volumes, targets = cached_get_demo_data() # Show dialog @@ -83,8 +68,6 @@ def terms_conditions(): if "terms_conditions" not in st.session_state: terms_conditions() -st.logo("https://avatars.githubusercontent.com/u/8323854?s=200&v=4") - # Display the DRR and enhanced DRR in the main layout st.title("DRR Enhancement Model Demo") @@ -108,63 +91,38 @@ def terms_conditions(): ) st.slider( - label="Select initial contrast", - min_value=0, - max_value=4000, - value=0, - step=500, + label="Select contrast agent reduction ratio", + min_value=0.0, + max_value=1.0, + value=1.0, + step=0.1, key="contrast_slider", - help="Select the intital contrast", + help="Select the contrast reduction ratio for the vessels", on_change=None, label_visibility="visible", ) - "---" - -# Load your model -model = load_model() -model.to(device) - -# Load CT data -train_loader, val_loader = cached_loadData() -# volume, target = cached_sampleVolume( -# train_loader, contrast_value=st.session_state.contrast_slider -# ) - -# Initialize the DRR module for generating synthetic X-rays -drr, volume, target = cached_create_drr( - train_loader, - contrast_value=st.session_state.contrast_slider, - rotation=st.session_state.rotation_slider, -) + st.checkbox( + label="Enable deformation", + value=st.session_state.deformation_checkbox, + key="deformation_checkbox", + help="Enable deformation of the subject", + ) + "---" -col1, col2, col3 = st.columns(spec=[0.4, 0.2, 0.4]) +if st.sidebar.button("Generate"): + # Assuming demonstration now returns a figure directly + fig = cached_demonstration( + _volumes=volumes, + _targets=targets, + _model=model, + rotation=st.session_state.rotation_slider, + ef=st.session_state.contrast_slider, + deformation=st.session_state.deformation_checkbox, + initial_contrast=4000, + device=device, + ) -with col1: - st.header("Original DRR") - axs = plot_drr(drr, ticks=False) - fig = axs[0].figure - fig.set_size_inches(2, 2) # Adjust the figure size + # Display the figure in Streamlit's main view st.pyplot(fig) - -with col3: - st.header("Enhanced DRR") - enhanced_placeholder = st.empty() # Placeholder for enhanced image - -with col2: - # Add an "Enhance" button - if st.button("Enhance"): - with st.spinner("Enhancing DRR..."): - prediction, latent = model( - volume[0].unsqueeze(0).to(device), drr.to(device) - ) - axs = plot_drr(prediction, ticks=False) - fig = axs[0].figure - fig.set_size_inches(2, 2) # Adjust the figure size - enhanced_placeholder.pyplot(fig) - -col4, col5, col6 = st.columns(3) -col4.metric("Temperature", "70 °F", "1.2 °F") -col5.metric("Wind", "9 mph", "-8%") -col6.metric("Humidity", "86%", "4%") diff --git a/src/demo.py b/src/demo.py index a291209..08276c1 100644 --- a/src/demo.py +++ b/src/demo.py @@ -24,6 +24,7 @@ def load_model(deformation, device): ) model = TACEnet().to(device) model.load_state_dict(torch.load(model_path)) + model.eval() return model @@ -52,10 +53,8 @@ def generate_drr(subject, rotation, ef, device): return drr_combined, drr_vessels.to(device) -def demonstration(rotation, ef, deformation=False, initial_contrast=4000, device="cpu"): - transform = get_transforms( - resize_shape=[512, 512, 96], contrast_value=initial_contrast - ) +def get_demo_data(): + transform = get_transforms(resize_shape=[512, 512, 96]) train_ds, _ = get_datasets( root_dir="../data081", collection="HCC-TACE-Seg", @@ -63,15 +62,28 @@ def demonstration(rotation, ef, deformation=False, initial_contrast=4000, device transform=transform, download=False, download_len=1, - val_frac=0.2, + val_frac=0.0, seed=42, ) train_loader, _ = get_dataloaders(train_ds, _, batch_size=1) batch = next(iter(train_loader)) volumes, targets = batch["image"], batch["seg"] + return volumes, targets + + +def demonstration( + volumes, + targets, + model, + rotation, + ef, + deformation=False, + initial_contrast=4000, + device="cpu", +): + volumes = add_vessel_contrast(volumes, targets, contrast_value=initial_contrast) - model = load_model(deformation, device) subject = read( tensor=volumes[0], label_tensor=targets[0], @@ -83,5 +95,8 @@ def demonstration(rotation, ef, deformation=False, initial_contrast=4000, device subject = apply_deformation(subject) drr_combined, drr_target = generate_drr(subject, rotation, ef, device) - prediction, latent = model(targets.to(device), drr_combined) - plot_results(drr_combined, drr_target, prediction, latent, vmax=25) + with torch.no_grad(): # Disable gradient computation + prediction, latent = model(targets.to(device), drr_combined) + return plot_results( + drr_combined.cpu(), drr_target.cpu(), prediction.cpu(), latent.cpu(), vmax=25 + ) diff --git a/src/pages/Surgeon Demo.py b/src/pages/Surgeon Demo.py new file mode 100644 index 0000000..5b0d982 --- /dev/null +++ b/src/pages/Surgeon Demo.py @@ -0,0 +1,91 @@ +import random +import time + +import streamlit as st + +st.set_page_config(page_title="Surgeon Demo", page_icon="👋") + +# Mock Patient Details +patient_info = { + "Name": "John Doe", + "Age": 34, + "Gender": "Male", + "MRN": "123456789", + "Admission Date": "2023-04-01", + "Diagnosis": "Appendicitis", + "Surgeon Assigned": "Dr. Jane Smith", + "Procedure": "TACE", +} + +# Vital Signs (Mock, could be dynamically updated) +vital_signs = { + "SpO2": "98%", + "Blood Pressure": "120/80 mmHg", + "Respiratory Rate": "16 breaths/min", +} + +# Display Patient Information in Sidebar +st.sidebar.title("Patient Information") +for key, value in patient_info.items(): + st.sidebar.text(f"{key}: {value}") + +st.sidebar.title("Vital Signs") +for key, value in vital_signs.items(): + st.sidebar.text(f"{key}: {value}") + +# Initialize session state variables if they don't exist +if "rotation" not in st.session_state: + st.session_state.rotation = -45 # Start at 0 degrees +if "rotation_direction" not in st.session_state: + st.session_state.rotation_direction = 1 # Start moving towards -45 +if "confidence" not in st.session_state: + st.session_state.confidence = 98 # Start with high confidence +if "spo2" not in st.session_state: + st.session_state.spo2 = random.randint( + 80, 88 + ) # Random SpO2 value between 94% and 98% + +st.image(r"D:\Programming\AI\5ARIP10-ITP-T3G3\src\pages\xray_demo.gif", width=400) + + +# Placeholder for dynamic metrics +col1, col2, col3 = st.columns(3) +rotation_placeholder = col1.empty() +confidence_placeholder = col2.empty() +spo2_placeholder = col3.empty() + +while True: + # Update rotation + if st.session_state.rotation_direction == 1: + if st.session_state.rotation + 10 <= 45: + st.session_state.rotation += 10 + else: + st.session_state.rotation = 45 # Correct to max 45 if overshooting + st.session_state.rotation_direction = -1 + else: + if st.session_state.rotation - 10 >= -45: + st.session_state.rotation -= 10 + else: + st.session_state.rotation = -45 # Correct to min -45 if overshooting + st.session_state.rotation_direction = 1 + + # Update confidence based on rotation + angle_from_zero = abs(st.session_state.rotation) + st.session_state.confidence = round( + 98 - (15 * (angle_from_zero / 45)), 2 + ) # Decreases from 98% to 65% + + # Randomly vary SpO2 value + st.session_state.spo2 = random.randint(80, 88) + + # Display updated metrics + rotation_placeholder.metric( + "Rotation", f"{st.session_state.rotation} °C", delta=None + ) + confidence_placeholder.metric( + "Confidence", f"{st.session_state.confidence}%", delta=None + ) + spo2_placeholder.metric("Heart Rate", f"{st.session_state.spo2} BPM", delta=None) + + # Sleep for the duration of the GIF's rotation cycle or any desired update interval + time.sleep(0.157) diff --git a/src/pages/xray_demo.gif b/src/pages/xray_demo.gif new file mode 100644 index 0000000..486d544 Binary files /dev/null and b/src/pages/xray_demo.gif differ diff --git a/src/vizualization.py b/src/vizualization.py index f5b616a..fb491f5 100644 --- a/src/vizualization.py +++ b/src/vizualization.py @@ -40,45 +40,22 @@ def plot_results( latent_representation, vmax=25, ): - """ - Plot the DRRs and the latent representation - - Args: - drr_combined_low_enhancement: The DRR with low enhancement - drr_combined_target: The target DRR - prediction: The AI-enhanced DRR - latent_representation: The latent representation - vmax: The maximum value for the color map - - Returns: - None - """ - - # Move tensors to CPU - drr_combined_low_enhancement = drr_combined_low_enhancement.cpu() - drr_combined_target = drr_combined_target.cpu() - prediction = prediction.cpu() - - # Create a figure and a set of subplots - _, axs = plt.subplots(1, 4, figsize=(12, 4)) - - # Plot each image in a subplot - axs[0].imshow( - drr_combined_low_enhancement.squeeze().numpy(), cmap="gray", vmax=vmax - ) - axs[0].set_title("DRR") - - axs[2].imshow(drr_combined_target.squeeze().numpy(), cmap="gray", vmax=vmax) - axs[2].set_title("enhanced target") - - axs[1].imshow(prediction.detach().numpy().squeeze(), cmap="gray", vmax=vmax) - axs[1].set_title("AI Enhanced") - - axs[3].imshow(latent_representation.detach().cpu().numpy().squeeze(), cmap="gray") - axs[3].set_title("Latent Representation") - - # Hide the axes labels - for ax in axs: + fig = plt.figure(figsize=(12, 4)) + titles = ["DRR", "AI Enhanced", "Enhanced Target", "Latent Representation"] + images = [ + drr_combined_low_enhancement.squeeze(), + prediction.detach().squeeze(), + drr_combined_target.squeeze(), + latent_representation.detach().squeeze(), + ] + + for i, (img, title) in enumerate(zip(images, titles), 1): + ax = fig.add_subplot(1, 4, i) + ax.imshow( + img.numpy(), cmap="gray", vmax=vmax if i != 4 else None + ) # vmax not applied to latent representation + ax.set_title(title) ax.axis("off") - plt.show() + plt.tight_layout() + return fig diff --git a/test/test_vizualization.py b/test/test_vizualization.py index 9b83e53..685c61a 100644 --- a/test/test_vizualization.py +++ b/test/test_vizualization.py @@ -1,7 +1,7 @@ import os import sys import unittest -from unittest.mock import MagicMock, patch +from unittest.mock import MagicMock, call, patch import numpy as np from numpy.testing import assert_array_equal @@ -65,13 +65,17 @@ def setUp(self): self.drr_combined_target = torch.rand(1, 10, 10) self.prediction = torch.rand(1, 10, 10) self.latent_representation = torch.rand(1, 10, 10) - self.vmax = 25 + self.vmax = 20 - @patch.object(plt, "subplots") - @patch.object(plt, "show") - def test_plot_results(self, mock_show, mock_subplots): + @patch.object(plt, "figure") + @patch.object(plt, "tight_layout") + def test_plot_results_creates_correct_number_of_subplots( + self, mock_tight_layout, mock_figure + ): + mock_fig = MagicMock() mock_ax = MagicMock() - mock_subplots.return_value = (None, [mock_ax] * 4) + mock_figure.return_value = mock_fig + mock_fig.add_subplot.return_value = mock_ax plot_results( self.drr_combined_low_enhancement, @@ -81,33 +85,48 @@ def test_plot_results(self, mock_show, mock_subplots): self.vmax, ) - mock_subplots.assert_called_once_with(1, 4, figsize=(12, 4)) - mock_show.assert_called_once() + self.assertEqual(mock_fig.add_subplot.call_count, 4) - self.assertEqual(mock_ax.imshow.call_count, 4) - self.assertEqual(mock_ax.set_title.call_count, 4) - self.assertEqual(mock_ax.axis.call_count, 4) + def test_plot_results_sets_titles_correctly(self): + titles = ["DRR", "AI Enhanced", "Enhanced Target", "Latent Representation"] + with patch.object(plt, "figure") as mock_figure, patch.object( + plt, "tight_layout" + ): + mock_fig = MagicMock() + mock_ax = MagicMock() + mock_figure.return_value = mock_fig + mock_fig.add_subplot.return_value = mock_ax + + plot_results( + self.drr_combined_low_enhancement, + self.drr_combined_target, + self.prediction, + self.latent_representation, + self.vmax, + ) - titles = ["DRR", "AI Enhanced", "enhanced target", "Latent Representation"] - expected_calls = [ - (self.drr_combined_low_enhancement.squeeze().numpy(), "gray", self.vmax), - (self.drr_combined_target.squeeze().numpy(), "gray", self.vmax), - (self.prediction.squeeze().numpy(), "gray", self.vmax), - (self.latent_representation.detach().cpu().numpy().squeeze(), "gray", None), - ] + title_calls = [call(title) for title in titles] + mock_ax.set_title.assert_has_calls(title_calls, any_order=False) - for call, (expected_array, cmap, vmax) in zip( - mock_ax.imshow.call_args_list, expected_calls + def test_plot_results_turns_axis_off(self): + with patch.object(plt, "figure") as mock_figure, patch.object( + plt, "tight_layout" ): - actual_array, actual_kwargs = call[0][0], call[1] - assert_array_equal(actual_array, expected_array) - self.assertEqual(actual_kwargs["cmap"], cmap) - if vmax is not None: - self.assertEqual(actual_kwargs["vmax"], vmax) - - for i, title in enumerate(titles): - mock_ax.set_title.assert_any_call(title) - mock_ax.axis.assert_any_call("off") + mock_fig = MagicMock() + mock_ax = MagicMock() + mock_figure.return_value = mock_fig + mock_fig.add_subplot.return_value = mock_ax + + plot_results( + self.drr_combined_low_enhancement, + self.drr_combined_target, + self.prediction, + self.latent_representation, + self.vmax, + ) + + self.assertEqual(mock_ax.axis.call_count, 4) + mock_ax.axis.assert_called_with("off") if __name__ == "__main__":