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TP4-Rapport.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta name="author" content="Alexandre Combessie, Saad Machraoui" />
<title>Apprentissage Statistique - Compte rendu du TP4</title>
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/*!
* Bootstrap v3.3.1 (http://getbootstrap.com)
* Copyright 2011-2014 Twitter, Inc.
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<h1 class="title">Apprentissage Statistique - Compte rendu du TP4</h1>
<h4 class="author"><em>Alexandre Combessie, Saad Machraoui</em></h4>
</div>
<div id="introduction" class="section level1">
<h1>Introduction</h1>
<div id="sujet-et-donnees-choisies" class="section level2">
<h2>Sujet et données choisies</h2>
<p>Pour ce dernier TP du cours d’Apprentissage Statistique, nous avons décidé de relever un défi sur le site <em>Kaggle</em>, une plateforme d’organisation web organisant des challenges de Data Science. Plus précisément, nous avons participé à une compétition pour <em>Airbnb</em>, dont le but est de prédire dans quel pays se fera la première réservation d’un nouvel utilisateur.</p>
<p>Pour cela, Airbnb fournit une base de donnée d’entraînement sur un échantillon de 213 451 utilisateurs américains de Airbnb, dont des données démographiques, le web-tracking du processus de création du compte utilisateur, ainsi que les enregistrements des sessions de navigation. Il s’agit donc d’un problème d’apprentissage supervisé, avec 12 classes à prédire sur 62 096 utilisateurs. Pour plus d’information, vous pouvez vous référer au site de la compétition : <a href="https://www.kaggle.com/c/airbnb-recruiting-new-user-bookings" class="uri">https://www.kaggle.com/c/airbnb-recruiting-new-user-bookings</a>.</p>
</div>
<div id="demarche-employee" class="section level2">
<h2>Démarche employée</h2>
<p>Pour ce projet, nous avons employée la méthodologie classique <em>CRISP-DM</em> (Cross Industry Standard Process for Data Mining). Cela permet de trouver des solutions à des problèmes d’analyse de données de manière itérative. Une illustration de cette méthodologie est fournie ci-dessous par l’éditeur de logiciel Dataiku.</p>
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RYvmMKISDG5EGO7sgCkZyoNo6JOzH1l0SG8/dFwn4Ro4iWMcIFI3bE7ZvTPOA6qtkH/YSqqXCnFDbUtM5Umch966DSLORGFIz0ElIDAKS4cycFWUVMnrOSlavrlwiccphM5krVfPVJktbV1e4vVPgAAAJBOzp8/LyzdooiyiRMnUl+ffjB2kFoyIIwYZo0QYxsu9/SbVC+Grv02/aphsxQV4nP2VR0QczQZ/ag04WXUqDRv0qtVM+j6h35ibLvFoy33yDA8rZXeqJ1pW88mThzbTG+2G84Dt/3Ew1Rv9CW8X5yG44oyiSaMWG1/m+6u3ZDAqDQQRgDwL8qhN1M5CmrraXFtiXT2vQuZOoqv1lYay+iEEQOvIoie2/YqtDhAZq0Oo00WL86d9t6uVQBSX3zVREaT2Ot3KDGEt7mqiha/YWxfCCWnPISREY9jd4AOiOOgiq8a+7HtEPWIKBabyBJXgUj7vvkbFh1YgGAhYuFvlguhg1NbWKTg/yvxgwURJVgosUKZvYCqW+iI1/7HD2fQqqoaETWi2lH94Tokajn+N0/j+bwstx+cGiUAAADSxeuvvy5MJ2JcfvnlNGPGDLrlllsStm9961vabbItWrRItg7SSWaEEcPe61pLq+11Owy7/pn5VLbtNSlAsMXr7HOKywtUxEPiim39mB6umCO2bRcE3uuqomKRBiPbfGIuFe95M7oIw8JGw3y6mwuwatd7m3a/9R9yPgsfzUZfltPDUpgxh+R9nNY2FIphfx1RJlGFEZ7WSm82Pxxu+4k5VCT6D2EEABAFOVKKKZjYkQKHirRIBs9tAz/y/tEeemtfmxAUWFj40ay70iI0KAEjEeO+cP9iwQIM90/tB49qw31XQg7/m6ep/QAAAADi5d577xVmFy4uvvhiWrp0KZ05c0YulThdXV30mc98xrFdZZ/73Oeora1NLplhQido1+oldJX193gGTVvWRO2D2YqVPUu7lt1O4+bW0TE5JVVkTBiB5ZdBGAEgtwn1H6InVQSFiIiQw2c6IhoMW1VFT76fWIFQz20DX8ECgl0E4RceFf3B03hePEJEMiixI17jPqViyF4lmijBREWZ8P+VWJKufU6eKEPUJow7KmoTPWkNx8uRVqiWAwAA0bj66quFKdHi4x//uBBFxspHH31E//iP/+gQROz2d3/3d3Tw4EG5dKYYovayeTRu6lKq6OQ0auMvUm8LLZk7g8bfXUfdWfmTAWEElmGDMAIAAP6CIzw4HYYFABUJYhdBMplqYhc9Yhmn56QbFktYFOG0HD42doEo+1ElqRRGbIiaQWVUBGEEAADihkeeYVOCxZe+9CUaGDBFg7FiF1x0duWVV9KJEyfk0pngGFXMvZH+Ztk+Cn8eC1Ff01IaP3EBVfRmY1h5CCOwDBuEEQAAyG9URAgLC8rZZ8c/F1JIdAKI27i/LORkA7eIZD926ROQeEjqA1RkRWuV0KzWYzToEEbs9X/K6Z6GSlIjOzkivXgEp87j1roFNVU0k+vtVNXQ/TUcMdIjihOb7ZRRUdsOmqW2J9ZfSyUnOEKHI0xKZK0iXnY1Fb1/TKTXiRo7je2yPo+9XxxltpPaA1B7BwAQPHg4XvuQvFxTJFX88Ic/dAghOvurv/ormj9/Ph0/flyulU4+pPqFM2nc1CX0u90njL8oOgaovWaplWozfm4Zbe/l+nAX6NjutTRv6g3m3/VJhbRo82FjaeMvxu5i+ptJd9G0OTOMeTfQNWUHaaR3D/1u4Rz5DmBP1wnRQGcTLZrLyxrzpj5C8/jfEEZgmTIIIwAAkH+w087Ou0qN4RSR3Ih6cGK++HhbvPVEMoUSSlgcYZGE+8eCU2qPqznUtTmilPEqyENUuwonH/UcjYqH0n5eChWjNNjdRJNF8eIhc101kpI9lSYiYkQJMTyi02opxPDyz0uhY9gc2lqKJiHRF1kg2T5ilexL0EdrAgD4E7dQwYVTU8WPf/zjiO17GRd6fe+99+Sa6UOlzph/n2+gqxauoYoN++iYeMCr6JE5dG+T8cwf3EOLpt5A4xe+Qd27S+gqFjjK2o2/bhfoWNPT4vfMmm4aZmGEt7VsjxBKKHSQVsww1ptbRfsHQ0abb9C9U28054ttGv9+9A2jzRANdFTRtElGXyCMwDJlEEYAyAc+ojOnjtG+M0OEb7PBhQUEFj9YBFGRDezEp6ImR7pwCyF2S1U9kXTCgog9EocjSzg6Z8wMH6fGtr1U3bpJRl/YhZE9dIBHaxLDVPPCcvQmFjCEsGEbxckSQD6wRZvYp+uEEZVKY49QsS2vpqv27euLoas5WqWEZjW3UvX+IzKSBAAA/IVboMiWMMI2YcIEGhxkKT39hHr3UXXNRlohozpMEWPATGu5tph2OUrRyXSXGRXUbinkMvpkbh0dEcLIPFrRafz9MAh1VtA1E2+nRbvPit/890YILpOW0qutLxnzwsvatwNhBJYRgzACQK5zjtreeoX+V/k6WnNKOUM6pPNkOVPJErvOgQjl3/QmtfAfQYejlQh2R8yL2H1hHP1JGeaQwz/bdsSWb5t5OIKBxZCUO+YZwi2GKMtEPZFUw8IUR+koYSrpcyEiLYxrn4WFtg7qOLlH3kM5JoyobdnXFxj3Rneb0fftVFhZTAUb99JRiCMAAJ/hFieyKYywPfPMM3LtTBGiARENMpPmNe0TNUgiRQqzNolzuhRLri2m5l0sjIRrlIjUGs07wThjmfKa/3QsixojsIwbhBEAcpkROtpWQwWl5bTgcH/0aBHhbJXS5MoyM8w9aWKLESPdW2hC+ZYxChGpE0ZS0x83Q6I2w4TmzAsjHEWREgc8B3C//PD+ZKueSCpRqUxKsGKhJ+6UIHs6Cp2n9ta1xj1uS4cxrvekU2mse8UtjMj2xiqMnH+XCleV0Oy2U8ZS/HxanwIxFgAAcg+3MJFtYeSLX/xiyoq/ujEjOVgAcb2T9TfTvEk8/f0xRIyExQ6zHXtUSJjIeYgYgWXYIIwAkLsMn9hBU8uK6Z+au8zczCiIOgVV22lnZx1NaHiX+uR00xHSFVuMXQDyKG9zVR01nje9HrMWgll0URiLEWdsjtZwL1U3cLFGY15lPTWKoX/PU0dnE81aJddxFHvUCSP24o5lNKu2TDpoHv0VTpvcthBHvNrzKhppRoZYy1fWUfXJ86bYIpfNlDjC4geLICwgqDSZfMcuiuRaPZFUwfvEwggLJCxmsWASPUVIiSF8fRnX8Rv1xvXHwkWfTZDwug+M+zBK8VVLzHDcX7KWSKnRRuvWMUaM6O8XAADwG25hIpXCyI9+9KOI7cdj9913n9xCigl1U8XdMxzD9VLoBG1fXkjjp5bQrsERGT0ia4yo5We8RLtaY9UYsUWBiBojN9JVC+vMgquhXqp/dI4prIzY532EGiOwzBuEEQBylI+66emKFYbj0UQtMUd9YMdnjVkEkb/olqsCjAZCGNEVW4xdALJH1BMol1+2L4iCjAUN79Ipe4SG9QV6yCzYKPrbb2x7pVi2T3xhll++5TYiHbEwZqFHzZdyz/6GnBEjXu3Zv5rbikaOcHvlYfEk/AU8MxEj7ECrVBk2/nf6RkPJPEoUyYd6IqlAFW7lfWaRKyVFW0fPiNFhxP0kJwEAAEgvblEilcLIP//zP0dsPx67+OKL6a233pJbSTGDh6m+bAmpUWfMAqwVVK+EEuM9zDkqTQm9KuZdoGOtZaaIwfPco9I40mNYC7GPSmMf3Ybn2QrAYlQaWKYNwggAucQ56jh0gFr6z1J7ayVdXlZpOOzDcl4UhBig6g6YAoI1UoQlXLi/EBtELQDJy5i1DSZwDYGQmarDwoJDiLC23yfEkEghgSM9Oqi6bQ+VqGgST2HEXSclnv66hBGv9rRFI2V7Ylt24+2yiJQ+YYSjDOzRIfmaKhML3r98rCcyVlRtGBVFkmj0jyMqxLCC2jdpp4jAAgAAkAncokQqhZEdO3aIIXsLCgroy1/+sta+9KUv0V/+5V86hgxmmz17ttwKSBYIIzCtQRgBIHdQ6RvfrH2FZpYX03e3d1NsWcTDuVfigpcwErMApBQjpOhS3LbVSqtJRBgRkR0c7v/OXqo+2EMd1rbjEUbk76j9dQoj3u0xI66ikXuordPenp30RIywg8zRE+ww+y06RIdfBZ9E4HOu6sXwOQ9C5AwAAOQ7djGCLZXCSLwMDQ3RK6+8Qp/97GetfkyaNEnOBckCYSTCWunN5ofp7gVfo588ZNgTc+nZihl0/UM/oKI9uzXL+9MgjACQQ5w7QL8sk8JGXCk0BrLoqpnuIrFP8xJG7KklHgUgTTFB1Sd4zgrlF0KEqj1ibd+eSjNorlO1g9rety2rUmOEEBEtlaac5h88QyF7Ko1nfy84+uPom729cyzwRBaNPHDG1p7aruifKYykKn2BnWOVLsP/hnMcPDitRkUJ8f/9LooBAEA+YxdF2LIhjCi+//3vW/34zne+I6eCZIEw4rC3qbXhNrr+oR/Tww111G783r3tVzSLBRIIIwCArDFIWzeXEqd73HngDMUhi5gREsKRlxMEZqSFKMLqJYzEVQDSxKznoUQJg+EuKqospstYgDgRjtxwFF9VRU+VOCGmVdHiN6qoQAgXp7TCiIjqsIo72otOevXX6JO9P33dHu1d8Cga6VVMUo34ERaEEsVeP4SjRBJNpwD+hAURCCQAAJDb2EURtmwKIz/96U+tfkAYGTsQRux2uo6eK/o6Xb+yjA5Y07fTupXfgTACAMgqoyPnqHdwKKXpG2NDFjCNEF+AF0oQ4dQJFkRSUoAT+A4WRNRoNhBIAAAgt7CLImzZFEZuvPFGqx8QRsYOhBGbvdf+ON320JV0d8MW2/T9dGDbL5BKAwAAFpzu8jxdVqpGeQGx4KFaIYiARLALaRBIAAAgN7CLImzBEkbO0q5lt8c5IswAte/uEqPQpIfUbx/CiM0O75lP/xIhjKjpEEYAAAAkhqohAkEEJIs7xQZ1aAAAIHvYRRE2CCM6PqT6hTPTMqSuSXq2D2HEZmbEyNfptto6es+ajogRAAAAicEiCI84wqIIRmABqUAJJBjFBgAAsoddFGGDMKLjGFXMvTGNwkh6tg9hxG7aGiMtVF/xE9QYAQAAEBN2XtWwu5w+A0CqYdGNrzE1khEAAIDMYRdF2PwtjIRooLOJFs2dIaIWx019hObxv4Ug4Zon5i+lis5eUzxR08SyA9S+uYSmTZLTJt5AVy2so/bBENHgQapYOMdafvzcMtree8FsvXcP/c6aN4OmLWsy1hnQbD81QBhxGEalUQZhBAAA4kfVg+A/0viaDzIBRyKpNK33j6qxogAAAKQTuyjC5mthZHAPLZp6I1316Bt0LBSigY4qU9xgMULNW7ZH1PkI9b5B9069QQoV9ogOY73dJXTVxLm0aDeP5XeBjjU9bfy+kabVHKb2snk0btJSqudRDMU2b6DxC5upL3SQVsww/j23ivYPhuT2VXuIGMmQtdKbzQ/T3QtYDDHsiTlUtPLHEEYAADkHO9/89RiWXave8Bp9+Ycz6N/mPUg7Wvdol9EZnFnghq8J3bUSzTi9hq+/x367gva2HdAuA8uMQRAFwP/8//6/r9HHL/6jQAgjoc4KumbiPFrROSSnRKvtYZ8XQ7job6Z5k1gYeY+6ax6h8RPn0LyyBtolI0UYs+3badHus2oK9TUtpfFCROmGMJIda6PdDbfQTx66hVZ1tWnm+9MgjACQu/AL+K+f+E8RnXBb4SK65X5YPtr/nHIzff/mX9Ca9ZvgUAUYPvcvr6+jyca1wNeE7lqB5b7xs5ifyXc+9Lh4RoOxw8eRn4/lr8Dy0fi55qcPAPysXvib5fTp//1P9Ik/uTQQwsjI7mL6m4kLqKL3IznFWWMk1LuPqmvqqKJmDc3jaBErtcUtjFygY7s3i4jairIldBUvJyJGjLmhE7Rrg239SYW0aPNhOi3a5uXcxv05AmEk7dZTRg8v+Bpd/0wRvXF8vzFtP7W3L6eHn/g6Xb98ObWe1qzjU4MwAkDuwX+Ui54rNZynmbSsvIba3j9Dh06eh+Wx1e86IJyqfzAcYkSQBA8+5yyO3Wo41Xwt6K4RWP4YP5PX1DVTwY9n0kNFyyF4JknT9hZxX1xz089pcfEa8fcOln/G547PIZ9LPqf5DD+ruaA6CyP2aJF8EkZ27dpFO3bskL/iI1rESHdPHc2cxHU/1lNFzWba1dvrETFywYwKYcFjXR1VbNhHx86oiBGXrDF4mF5dVkjjJy6gl5rKXW3bQSpNBuxt2r1nORU9820zjUbYj+nh2jJ6UwglunX8Z50f7IUwAkAOMuOuB+n6O38NQcSHxs4UfwnBCDbBgV+0vzLlZipZ+7r2moDlr/Ez+q5Hnzae2fMhjiQAH6ufP/Q4XfOvP4dQ6CPjv28skPCHnXy8H/jvshoNjLGLImz5IIyUlZXRH/zBH9C4cePotttuo56eOD/EiDofN8pCqR85aowcEREdqm6IrbjqjApqD9nTamSUydQS2iWKrSrx4wa6pqyFti+ba8x7mupFGs0A7S970EyXOdNha9tYL9RL9Y/O0Ww/dUAYgUXYjq56embLg/LsAwBygRWrqiCK+Nz45ZEjR3hkG+Bv2Dngc83nXHctwPxhHA3GziCIDxaSWFDC3zn/GZ9TfofhSKp8gsUQFkXsHy3soghbLgsjo6Oj9PTTT9NFF13k6POf/Mmf0C9+8Qu5VHRCvS20RDcqTegEbV/OAgent/AoM+W0gkeQETVAhmSBVVMo2X/Mtg1RT6RcpM6IIquuUWnGTV1Cv9t9gkKibfuoNPYRa1QBV3P77bxwCohLGFlSf7dwlnVONMx/9np7JS3f8rA8+wCAbMN51lx7oLWzV/vCAfOPcejxkmdflGce+BV2ltkB1F0DMP8YO4Oc+oiaI7EpXm2K/7rjCPOHKXGEa4/kOixec9oMp8+401ztAgNbrggjkyZNklPD7Ny509FXZZ/4xCfot7/9rVwKKOISRjbsLafVu36rdaJh/rMXti2m7Qcb5NkHAGQbdqI4X1f3ogHzl/GLI38VQdSIf+EXbj7HEDqDYfzsnr/kP+XZBzr4eYd7IhjGKVKcQpjLKTX2eiK6frpFhlwRRn74wx/KqWF+9atfOfqqbNq0aXIJYCcuYeRE3zG695V/FrUndI40zD/W1rtLpE71ncNLOQC5Aofc44UxOMaRBJsatsqzD/zG1u0totiq7tzD/Gf87GanH3hT+3oTPfhkifb4wfxn/DduY47+jXPXE9HhFhlyQRj5zGc+Qw0Nzo/aFy5coC9+8YsR/f3CF75A3d3dcilgJy5hhHlxWxE9u/VhrTMN84892XgPbdy3Wp51AEC24S9pnEaje7mA+dP4C/Nzq6rkFQD8xupXNiECLGB27U0/RzpNFHiI4/VNu7XHDuY/49pKuRhFVfJSdUQ9ER1uoSEXhJH7779fTgnz1FNPRfT1k5/8JFVWVsolgJu4hZGhC+fpkY23ijQLnUMNy3/jc1tU/0txrgEAuQG/TM9+YLH25QLmT+NQYx6ZAfiTcggjgTOOEIIw4g1H1KDganCM/8ZN+8V8efazD6fL/HLhE9p6IjrcYkO2hZFLL72U+vv75RST1tZW+uM//uOIvt58881yCaAjbmGE4ZQadpyfbLhHpFzonGtY/tmeo2/QolfnQBQBIAeBMBI8gzDibyCMBM94dBoII96wMKI7bjD/Wq6kl7EQ8qNZd3nWE9HhFhuyKYzccMMNNGvWLPnL5OzZs/Stb30rop9///d/T8ePH5dLAR0JCSMMO86casF1KDi1hkcw4RFrYPlnG94pE+fw3leuo8YD6+QZBgDkEhBGgmcQRvwNhJHgGYSR6EAYCZ7lgjDC9Z44dSbRml5uwSGbwsjjjz9OHR0d8hfR0aNH6fvf/35EH6+88ko6dOiQXAp4kbAwouDinDxyCdce+c8tD9IzPrT1L/+Cdj05Uzsv343PWUXLc7Tv/Z2IEgEgh4EwEjyDMOJvIIwEzyCMRAfCSPAs28KIqieSzH3pFh0yIYxs2bKFnnnmGTp37pycEsng4CB94xvfiOjfV77yFTp16pRcCkQjaWEkCIwOnafe+6fTR30YoQUAkB0gjATPIIz4GwgjwTMII9GBMBI8y5YwYq8nkuyw+G7hId3CyPDwMH3ta18TbU2fPp2GhobkHCe//vWvI/r2+7//+9TY2CiXALGAMBKDgS0b6dSKRfIXAABkFggjwTMII/4GwkjwDMJIdCCMBM+yIYyoeiJPFZfGXU9Eh1t8SKcwwkPuzpkzJ6K9kZERuYTJ1q1bxZC99uXYJk6cKJcA8QBhJAYqamT4CPKyAACZB8JI8AzCiL+BMBI8gzASHQgjwbNMCyPJ1hPR4RYf0imMvPrqqxHtsd1xxx0UCoXEMhxBoiJK3Pb000+LZUB8QBiJA0SNAACyBYSR4BmEEX8DYSR4BmEkOhBGgmeZFEbGUk9Eh1t8SKcw0tLSQn/6p38a0SbbXXfdJZZ57bXXtPMvvvhi6u7uFsuA+IAwEgeIGgEAZAsII8EzCCP+BsJI8AzCSHQgjATPMiGMcLoM1xIZSz0RHW4B4tZbb5Vz0kNtbS2NGzcuol22//iP/6CbbrpJO2/+/PlyCyBeIIzECaJGAADZAMJI8AzCiL+BMBI8gzASHQgjwbN0CyNcT4SjRMZaT0THZz/7WWFKgPj2t78tCqSmkxdeeEErjnz84x+nT37yk45pvNyiRYtEfRKQGBBG4gRRIwCAbABhJHgGYcTfQBgJnkEYiQ6EkeBZOoURrifC2+f/p4Orr75amF2cWLp0qZybPurq6uhzn/ucQwTRWVFRkVwDJAqEkQQ4t28XokYAABkFwkjwDMKIv4EwEjyDMBIdCCPBs3QJIxwhwpEiHDGSLu69915hdjGC63mwOHLmzBm5VHpoaGigP//zP3e0bbfvf//7nsP5gthAGEmQE4/eSUMd78hfAACQXiCMBM8gjPgbCCPBMwgj0YEwEjxLtTBiryeS6tQZN6+//rownTBx+eWX04wZM0RB1lTY4sWLaXR0VLZssnnzZvr85z8f0fYll1xC+/fvl0uBZIAwkiAcNcLiCAAAZIJ8FkY6d5XTlcbLD78AOe0OuvXZzVTfdVa7XlQ7foTWPr+B1h5OYt08MQgj/iY/hJEzVP/s3fJ+vZse23VGs8wxKi28yZh/PV35bBt1RsxPwA5vpluvTmQ7Z2lvzRN0iWffcssgjESHrzPdcYP51/icpwp7PZFMcP78eWHf/OY3I8SJdBhHp7jFERZm3JEjy5Ytk3NBskAYSQIWRlggAQCAdJP/wshNdGvNMee8rjZaVngHjbtuBa1NSByRztDVT1AphBGQp+SVMHL1LLriJ1P1ggWLGdfdRlckJGh4GISRQANhJHiWKmEk3fVEonH48OGMiSOvvvqqbDXMli1b6NJLLxXzp06dimKrKQDCSBIgagQAkCl8KYywHT9Ey+bclKBDBWEE5D/5JYwsoHv+3y/oksLNtNcxn+/FpfTt//cM3QxhJKZBGIkOhJHg2ViFEU6XyUQ9kVj09fXRAw88ELXuRyrsG9/4hlb4ePvtt2nevHnU398vp4CxAGEkSRA1AgDIBL4VRrQiRz9ta6yhe2ZPFy9NbJfMXkEv7DppzLOH9rOFnajOthZatvg+w0mS866+j+555QC97WgvfwzCiL/JL2HkCXrh9TK6MkKM5DSaB+mx1zdFCBrO+/F6uqKwnErFPazW5WV20mKOGlP368rlNMUtjHQdoBcc23mZ1rb1y21AGEmGt/a1yX/lFnwd6I4bzL/G5zxZTn14OmP1ROLl0KFD9Nhjj9FXv/pV+tSnPqUVN8ZqmRj5JuhAGEkSLsCKqBEAQLrxrzCi5ivH5iy93biCrrj6AXpsh3SiVMrN1HKqP87raMSUrp10z3U30ZRn90kh5CTVlz9BV+SJw6QzCCP+Jt+EkdJDb9NjU2c57mNx7/J9ecgV6SHux6l0xa8baJu4Z0/Sa88+YNyzC2jZO1LUUPfskmZzma599JgQQ23bkRFlVxTWyFpEcjtW+h2EkWT45cInaOFvlueMM6mAMBI8S1YY4fsok/VEQLCAMDIGeOheRI0AANKJ/4URNd8s5OgM2Xc7P25hRCOUsCUclp9bBmHE3+SdMHL4tPh3+N7keb8y7y/HvSbXcdcOEiLHdLm+vGctsdM081mgtuNxXx9vo8emqnon7mdDeFu5aLkkjLBDyl/as5l+4AbCSPAsGWFkU8NWIYpko54ICAYQRsbA8JFD1Hv/dBodyi3lHQDgH4IjjMjpPOrMSzXCcVz27GK6wnh5Co+K4eEwiRScV811ysvo1uuuN9aBMAJyk/wTRgad950QKH5l3pMOYUQnbtq2JcQQj2U02wlHiimzT4cwkgxKGGFjBzNXUmsgjATPEhFGVD2RH826K6cEPeA/IIyMEY4aGdiyUf4CAIDU4n9hJCx6vL3jJZpytfHSft1ieoxFjpd20muv2J0fjTBiheHzEMDrDIfzVVq741VEjICcJf+EEeNeE8KFeS+L+1aJFnZBQwgm13sLI7ytg5yWo1nGEQ0iBRDpwEcYhJGksQsjyipq6uTc7MH90B03mH+Nz3k8qHoifO3mWgoY8B8QRsYIokYAAOnEv8KIdGyUgyUdoysW77QVTXU7P25hxCN03/H1WW0rfwzCiL/JS2FEiBWzjHvqLXpNpdHwcmmMGIncjt0gjCSDThhhy3bdEe6D7rjB/Gt8zmPB9wxHNpW8VC2nAJBeIIykAESNAADShW+FEccXYuO37Yt0eDnpUHkKI3oHymwXwgjITfJTGJH33nW/oimGWWKEQ9DwECp1NUZcyzjvWfd9LrfjuN8hjCSDlzDCls26I9y+7rjB/Gt8zqOBeiIgG0AYSQGIGgEApAs/CiNqqM5LZr9ErynnSDlPc2qoWdQVOEn1r6wwU2vcwoj4fYre7jpJzeULDAdKjXhxlt7eVS+H+4UwAnKT/BRGjGlCBDHuRxXlZU2z3Wtxj0pjW0Y3Ko1axjYqjRhtynavQxhJnGjCCFu26o5w27rjBvOv8TnXgXoiIJtAGEkRiBoBAKSD/BdGNC/gV99H95Q1SYfHtnxbM90vHCRebjpNWVwj64XYxBU1hK9yoo4foaol9xkOkrntS2Yvp2WNe+iFmKH4uWsQRvxN3gojVjqNTXB0CyOGdba10LLF6p68nq4oLKfSXXIIbmsZUxy1ngcrl9MU13YOdR2gF6zt8L29gl6wtgNhJBliCSPKMl13hNvUHbfk7RStXXxbxH4J4+utvEUKd6m0QdpW/qDRxm10T+Mpzfw8NHEPPk/L2wb188dgfC7csBCCeiIgm0AYSREf9Z1G1AgAIOXkszACS84gjPib/BBGYKm0fBNG2DJZd4Tb0x235E0JIw/SModT30/bXn9BRCKGoxNTZX4TRtT+uI9haozPuR2OVEI9EZBtIIykkDPVK6l/U6X8BQAAYwfCSPAMwoi/gTASPMtHYYQtU3VHuC3dcUvevIQRtrP0duMKuiLKiGnJGYSRRIzPuYIjlFBPBOQCEEZSCEeN9Nz5T+L/AACQCiCMBM8gjPgbCCPBs3wVRtgyUXeE29Edt+QtmjBimBxaetzsGtompznSuwxzpm4pkeBXdE+Zqn1l2HWLaXHjEZn+pRNGTlJ9TTndep3RltiuTBFt4zo57uLiZj8caWw7XqEpIh3teVk7S25jyRtUv0PV0+Jpd9Ct5W22Ed36aVvjy652623pq4dp2eypNO7W5bRsxWK6Qixj2HVP0DKxz5GpSP91cQt1WNsfu/E2OSKJI5OyWfgXADsQRlIMR42wAQBAKoAwEjyDMOJvIIwEz2b8cqEoKMlfxsdi/EWd/yYkazf/8iGHs5uIcfvpgrevO27JWwxhRI5wZNXQEcV+r6dLZr9AVSxaHO+i0l/fYcxXxX6V6GEci6sfoMd2nAwvM/FndE/jCdsyShjpN4uDsyjx7D4hWnS2NdDtLFbIUZm0I6hJ0UbUyGqroSni+N9Bt9d0GcucMPbrZ7If99H9rx+hTqsf4SLlZkQMCyjNopaKajecPiSFESG6mAWOrb5ZdYXSHzHCgki2h4oGwA6EkRSDqBEAQCrhl1kII8EyCCP+BsJI8CxVwgg7kRz1kaz94//9N9OpzqLxaCPufvF03XFL3mIJI/b5p/SRG3IUJrOItxIJptN15YdsBYKloOJYRgojan1HLRMlWqji4TJyxTbSk2M0NymM2AuJq6Lm9mkdjcvpv06cSlPKD4ejYeyjR1nFilX6kBRGHMWVVQSLEnbSL4wsf3GNfCoCkBtAGEkDiBoBAKQKCCPBMwgj/gbCSPAsn1NplPHX/VMfjv2jH6dMqAgWZbx93XFL3hIRRjpMkeC7y2ltr30ZKR6I6UokcKe9yMgTxzKmsKCNBmFzCC5KsFBRJ67RoKQw4khjEdOkCCKnOYQR3TrWemq6fd/UMi5hJwPCCNumhq3yygAg+0AYSQOIGgEApAp+aYQwEiyDMOJvIIwEz/JdGOFol3SmO3AbuuOWvMWZSsPCwDEZYeHaZ8scood7e7IdjTDiECvsbfe20D3fNbar6pvYhRJ7Gg3PS0IY8RwmX1ouCSMsknEEEdJpQK4AYSRNDGzZiKgRAMCYgTASPIMw4m8gjATP8lkYycQXfW5Hd9yStxjCiEOAkCKBI/XEbV4iwVgjRmzbuPoJeuH1snAaDc9LQhgx52vadVhuCCOMKsDKAgkKsIJsA2EkTYwOnafe+6fTyAnc5ACA5EmfMCJfjOTLr8Ouvo/uKW8RRdv06+aRdR2gFxY/T8vVi53uRTPHDMKIv8ktYYRHzVhrG91C3v9lTbYRLNJtRh9eeYHueUk5ejqnLb8tH4URHo0mU33m9nTHLXmLJoy46214jA7jqNWhRALXEL/aOiRSWIinxojcjimiTKUrrrMVhOV5yQgj2hojqg3Vbu4IIwoW4HgaUmtANoEwkkY4auTUikXyFwAAJE7ahRHbcIWm9dO2micjXtzy09L7YpcugzDib3JGGLFG3riP7nnlgBzq07j/X39BDEd6yeyX6LVMiCMaR89vlm/CSKrqicQLt6k7bsmblzDCIhwPt3s9XfHrBkv873ynhq4T17waleYIVS25z1b7Q/0tMY6PGtLWc+QaJSzEHpXG6pcSM4zthyNJDEtGGLG3a41K00z3s/hptZuIMMK/u6hhV3dK3wd4X90gtQZkGwgjaURFjQwfOSSnAABAYmReGGGzhwe75+WTQRgBuUduCCPKeVKOn32e+qKeIXEUwkjGiEcYSXc9ER3cru64JW9KGNHs43WL6bGXIiMiO9t20uJCHvY2vNzixiPy+ld/S6bTlMIFdIVc5pLZK+gFFkkcyyhhgadxRFY53cpiiFjHWH9xDa1l8UW2a5qKWnFFpCQljPC0ftrW+LKtXR6W92Vbu/EIIzZBhffVLtikwHibOpBaA7IJhJE0g6gRAMBYyI4wIl8qHZXxjRer2b+SL4TKYXK/fPFLX70tBF+2cety+q34+qZ7QTOs6wCVPrvYetmMWMazffdLp2HWy2zki7F4uYx40Yz14hreh2UrbH1UXw3VPqTQIIz4m5wQRjzC7cPzj9Dal2poubiX5D1w3a9oirpP5HpuZ9LpKLKdpbd3babH7A7nxDvo1hU7hWNqOnRqumHCUXM7bZHbuGS2cT9GOK2/onvK7fey0U55m4yEya7lizCSrTQGblt33HLHdKJHKs01Go12GX8Zn/NoILUGZAMII2kGUSMAgLGQFWHE7TRJMWHc1Q/QYztOGs7QPlrfdkbmStvDdc0w4XBOtWzDWFeF5UeEEh8/RMvmcIjvk1QqxAhbKL/6QqVt/5T84n0H3V7TJRwk6+uW9XKpXmZtESMOYSSeUGe1DyzW1AjRx1omTS+xEEb8TS4II56FIbWm7gF5nxw/QuubjlBn1066h+93K/3AnVpgtCNSFIx7R6UtWCkK7gKT9q/dTmEknOYgU3tUO/GkObi/wGfJcl0YyWQ9ER3cB91xyx1LrzBi/k2ZSlcs3pkTQl4mjM95LJBaAzINhJEMgKgRAECyZFwY4S/FIjJiOl1Xfsh0mpQwYV9W+8XZXdROtmFzlMLF58xltA6a2rb6Yhx3+yocWb28xhBG4iqOp/bBLoK421HrpsYgjPibXBBGIkPvo5kSRuwpaR4FKx3FKPXLmPe8LWorqjCiRuywP0MMk6KMef+r+9wpgkS0k0XLZWEk0/VEdHA/dMctdyxdwoi6t8LCu345/xmf83hAag3IJBBGMgBHjZx49E5EjQAAEibtwojtBdkyzsGuUcUYDbOLCdGmRUyXbTjEC8Ok8xRel0Plm4SzuKy8KjxChksY0To4nIYj1quh3y5W6TrxCSPtXl/NHc6d3UlTy6T36yGEEX+Tt8KI4x7QTfOazulqG8z7u2y5iAbj+9u6n8U96SGMHPNK+QkPcVp6uF9/P0Z7bmTYclUYyUY9ER3cF91xg/nX+JwnAlJrQCaAMJIhzu3bhagRAEDCZDxiRGcaB0N9jVUv2G4zl/Voo7eF7vmuXMYKeedQ+eX0W3aeaurpMbtzpXVwDGdIjJ5jtCeGF2VxpIFKn33A2FZ8wsh+L+dQ9s/st87RgzACkicnaoyI+yDBVBr7PaAitvj+05lc1ko7E7V7qoz93kClNWXO+1n0xUMY6bbfi7JtYfZRR85AGIkTuzCSSw4m90d33GD+NT7niZKLqTVDQ0PU0NBA9913H02aNIk+//nP0yc/+Un62Mc+lpR9+tOfpoKCApozZw699tprdOHCBdkSyAQQRjIIR42wQAIAAPGSq8JIfI6VRxtWxMhOahWpN7a0HTaPVBpH+9o0mMRSaRAxArJBXhRfVVFcYvQO3T0gp3muz6ZPg0kolQYRIymFhZFs1xPRAWEkeJaMMMLkUmrN4cOH6Zvf/KZW4EiV/eAHP6CTJ0/KFkG6gTCSQVgUYXEEAADiJWeFEQ/HylkzRLbhqM9hr0PyvnRo9HUKogojYppb1JDOUpzCSEI1RiCMgBSRE8KIVXhYP1zv2zteoilcNFUUg9TdAx41RhzPBbme4xmh7v84hZGEaoxAGIlFRU1d1uuJ6IAwEjxLVhhRZDO15vz588LSLYoomzhxIvX19cnWQTqBMJJhEDUCAEiEnBVG7CO6WKPSyFFh4hjRxRQjwiKEqsbvGP5TCSq69pVjZI1uo4rGcpi4KsJod5i6qGFXt7F9+7YSGJUGwghIEbkhjBhmjSJzH93ziqopdJLqX1lhjgqlRoHR3gPGvWKNFqNGpVEjziix5QStXfwz4z5Rv53De7tHneIIst2t70ZEqMQ/Kg2EkXwFwkjwbKzCCJOt1JrXX39dmE7EuPzyy2nGjBl0yy23JGzf+ta3tNtkW7QI5RgyAYSRDIOoEQBAIuSuMMLmdHRMAeRlWiuG3eX5so2rf0W33ivFDlFroN5Wfd9wxMqfkIIG2x1067OG47j4F8a/5ddobfsc6l/jarucXih/xpEeY4k1xjLCEYvYFheGLLdth/tXE7kPEEZAisgZYYSNBcWXymzXv2GiZk+T7R7VCyNsDiGT7brFtLjxSDiKq6uNlrnmP/bKOrrHHm1mCSrcNouhB13t8b2+mR6zbYfrES2z2oEwku/wOdUdN5h/jc95KshGas29994rzC5cXHzxxbR06VI6c+aMXCpxurq66DOf+Yxju8o+97nPUVtbm1wSpAsII1kAUSMAgHhJnzCSCfN2qGDeBmHE3+SUMALLiEEYiQ6EkeBZqoQRRSZTa66++mphSrT4+Mc/LkSRsfLRRx/RP/7jPzoEEbv93d/9HR08eFAuDdIBhJEsMNTxDqJGAABxAWEkeAZhxN9AGAmeQRiJDoSR4FmqhRFGpdZwkeF0ptbwyDNsSrD40pe+RAMDA3Lu2LALLjq78sor6cSJE3LpDBE6QbtWL6GrjHPG523cxBk0bVkTtQ+G5AKZ5iztWnY7jZtbR8fklFQBYSRL8NC9iBoBAMQCwkjwDMKIv4EwEjyDMBIdCCPBs3QIIwwLIk8Vl6Z19CUejtc+JC/XFEkVP/zhDx1CiM7+6q/+iubPn0/Hjx+Xa6WTIWovm0fjpi6lik5T/An1ttCSuTNo/N111J0VbQTCiO8YPnKIeu+fTqNDuTEONwAgN8lvYQSWjEEY8TcQRoJnEEaiA2EkeJYuYUSxdXuLEEd4JKZU4xYquHBqqvjxj38csX0v40Kv7733nlwzXRyjirk30t8s20cjcgpRiPqaltL4iQuoovcjOS2TQBjxJRw1MrBlo/wFAACRQBgJnkEY8TcQRoJnEEaiA2EkeJZuYYTh1Jqbf/lgylNr3AJFtoQRtgkTJtDg4KBcOx18SPULZ9K4qUvod7tPkD5AZIDaa5ZaqTbj55bR9t4LxvQLdGz3Wpo39QYxfdykQlq0+bCxNNHI7mL6m0l30bQ5M4x5N9A1ZQdppHcP/W7hHHNZR7pOiAY6m2jRXF7WmDf1EZrH/4Yw4i8QNQIAiAWEkeAZhBF/A2EkeAZhJDrs7OiOG8y/xuc8E6QjtcYtTmRTGGF75pln5NrpQaXOmILFDXTVwjVUsWEfHRMqiYoemUP3NvVSaHAPLZp6A41f+AZ17y6hq1jgKGunARZJmp4Wv2fWdNMwCyO8rWV7hFBCoYO0Yoax3twq2j8YMtp8g+6deqM5X2zT+Pejbxhthmigo4qmTTL6AmHEfyBqBAAQDQgjwTMII/4GwkjwDMJIdCCMBM8yJYwoUpla4xYmsi2MfPGLX0xZ8ddohHr3UXXNRlohozpMEWPATGu5tph2hXNtDGS6y4wKarfCTGT0ydw6OiKEkXm0onNIzAl1VtA1E2+nRbvPit+W4DJpKb3a+pIxL7ysfTsQRnwGokYAANGAMBI8gzDibyCMBM8gjEQHwkjwLNPCCJOq1Bq3MJFKYeRHP/pRxPbjsfvuu09uIROEaEBEg8ykeU37RA2SSJHCrE3inC7FkmuLqXkXCyPhGiUitca4Jvi6cNoCKq/5T8eyqDHicxA1AgDwAsJI8AzCiL+BMBI8gzASHXaAdMcN5l/jc54NUpFa4xYlUimM/PM//3PE9uOxiy++mN566y25ldRhRnKwAPKhnCLpb6Z5k3j6+2OIGAmLHWY79qiQMJHzEDHiaz7qO42oEQCAFggjwTMII/4GwkjwDMJIdCCMBM+yJYwoxpJa4xYlUimM7NixQwzZW1BQQF/+8pe19qUvfYn+8i//0jFkMNvs2bPlVlJIqJsq7p7hGK6XQido+/JCGj+1hHYNjsjoEVljRC0/4yXa1RqrxogtCkTUGLmRrlpYZxZcDfVS/aNzTGFlxD7vI9QYCQJnqldS/6ZK+QsAAEwgjATPIIz4GwgjwTMII9GBMBI8y7YwwiSbWmMXI9hSKYzEy9DQEL3yyiv02c9+1urHpEmT5NwUM3iY6suWkBp1xizAWkH1SiiJGJWmhF4V8y7QsdYyU8Tgee5RaRzpMayF2EelsY9uw/NsBWAxKo3/4aiRnjv/SfwfAAAUEEaCZxBG/A2EkeAZhJHosLOjO24w/xqf81wgmdQauyjClg1hRPH973/f6sd3vvMdORUkC4SRHIKjRtgAAEABYSR4BmHE30AYCZ7dVghhJBoQRoJnuSKMKBJJrbGLImzZFEZ++tOfWv2AMDJ2IIzkEIgaAQC4OfXhabw0BszYaX5uVZW8AoDfWA1hJHB27U0/F2H7QA/+xgXLWjt76R+m3CzPfu4Qb2qNXRRhy6YwcuONN1r9gDAydiCM5BiIGgEAuOEXiDfffk/7ggHzn9316NPi6xXwJ2/ta6Pr7/y19tzD/Ge56gTmEtN+MV9EyumOH8x/tr5pN92Zo1GR8aTW2EURNggj/gHCSI6hRqhB1AgAQFH0XCk9+GSJ9gUD5i9jJ4q/niZSCA7kF3xuv2I4ynyuddcAzF/G0UFLnn1Rnn2gg//GLS5eoz1+MP8Zn+vi1bkdFRkttcYuirBBGPEPEEZykIEtGxE1AgCwUOk0iBrxv3G0CDsJwN+sWb9JFOTUXQMw/xiLX/9zys1Io4kBf5kv+PFManv/jPY4wvxjfI7z5Z7wSq2xiyJswRJGztKuZbfHOSLMALXv7hKj0KSH1G8fwkgOMjp0XkSNDB85JKcAAIIOO1Icfo8XR//amrpmEXKPaBH/w+d48s2/QK0RHxs/q/mZvQL1guJi7kOPI2okAMbRrw8u+U951nMffla7U2vsoggbhBEdH1L9wplpGVLXJD3bhzCSo3DUyKkVi+QvAAAww435RRuRI/4zdpA5vQJfloMDn2s+53AG/WccKcLPakR/xQ9HRvL9wAKx7pjC8t/yWfy3p9bYRRE2CCM6jlHF3BvTKIykZ/sQRnIURI0AAHRw5Ain1bAzhRoF+W38RZlfFK/515/T9F/MhygSQNgZnHHXg+Ia4GsBEWH5bfxMZpGTUwVyvYZCLmIXC3Ev+Mf4XHKkCIsi+fx3jvvOqTWfnvBd+vjFfxQQYSREA51NtGjuDPHuOW7qIzSP/y0ECdc8MX8pVRjPQSGeqGli2QFq31xC0ybJaRNvoKsW1lH7YIho8CBVLJxjLT9+bhlt771gtt67h35nzZtB05Y1GesMaLafGiCM5DCIGgEA6GBnir9E8ksGv4DPfmBx1u1ffv4g/du9j2rnwSJt6txfiz/oM+6aT00YgSbw8NdIvhb4muBrQ3fNwLyNnz+z7ntMOy9TxkPy8jOZC61C5Ewe/vvGaTVcc4QFEoxWk7/G547PIZ/LnxvnlM9tvsPRLp/68jfpE39yaTCEkcE9tGjqjXTVo2/QsVCIBjqqTHGDxQg1b9keUecj1PsG3Tv1BilU2CM6jPV2l9BVE+fSot19xpIX6FjT08bvG2lazWFqL5tH4yYtpfp+Fkl4mzfQ+IXN1Bc6SCtmGP+eW0X7B0Ny+6o9RIwEDkSNAABiwS/gnPeaTave8Bpd/dM7tPNg3gaADt21AotuXANg7oOLtPMyZRBDUgsfU/4AwEP5Wl+GYXllHAnJ55DPpZ9QQoSyfBFGdu3aRTt27JC/4iPUWUHXTJxHKzqH5JRotT3s82IIF/3NNG8SCyPvUXfNIzR+4hyaV9ZAu2SkCGO2fTst2n1WTaG+pqU0Xogo3RBGggiiRgAAuc7C3yynTQ1b5S8AAMgs/BWXHTE/fJEGAOQ2dlGELR+EkbKyMvqDP/gDGjduHN12223U0xOfkDuyu5j+ZuICquj9SE5x1hgJ9e6j6po6qqhZQ/M4WoRFMa0wcoGO7d4sarRUlC2hq4R4xsKIMTd0gnZtsK0/qZAWbT5Mp0XbYaEtbNyfIxBGgsqJR+9E1AgAICdhR4T/UOVjMTUAgH/gqBF+6QYAgHRiF0XYclkYGR0dpaeffpouuugiR5//5E/+hH7xi1/IpbyJFjHS3VNHMydx3Y/1xrN3M+3q7fWIGLlgRoWw4LGujio27KNjZ1TEiEvWGDxMry4rpPETF9BLTeWutu0glSawnNu3iz548gH5CwAAcgd2RNghAQCAbMLh+j+adZf8BQAA6cEuMLDlijAyadIkOTXMzp07HX1V9olPfIJ++9vfyqWiIOp83CgLpX7kqDFyRER0qLohtuKqMyqoPWRPq5FRJlNLaJcotqrEjxvomrIW2r5srjHvaaoXaTQDtL/sQTNd5kyHrW1jvVAv1T86R7P91AFhJE/gqBEWSAAAIJdgR+StfW3yFwAAZA9+HvmtngEAILdwiwy5Ioz88Ic/lFPD/OpXv3L0Vdm0adPkErEJ9bbQEt2oNKETtH05Cxyc3sKjzJTTCh5BRtQAGZIFVk2hZP8x2zZEPZFykTojiqy6RqUZN3UJ/W73CQqJtu2j0thHrFEFXM3tt/PCKQDCSJ7AogiLIwAAkCtwsUF8oQUA5AqIYAMApBu3yJALwshnPvMZamhokFNNLly4QF/84hcj+vuFL3yBuru75VLADoSRPAJRIwCAXIIdkJKXquUvAADILlzzaMJPbkbNIwBA2nALDbkgjNx///1ySpinnnoqoq+f/OQnqbKyUi4B3EAYySMQNQIAyCXYAcEQlQCAXOLmXz5IW7e3yF8AAJBa3GJDtoWRSy+9lPr7++UUk9bWVvrjP/7jiL7efPPNcgmgA8JInoGoEQBALsB1RdgBAQCAXIKHDuchxAEAIB24xYZsCiM33HADzZo1S/4yOXv2LH3rW9+K6Off//3f0/Hjx+VSQAeEkTyDh+1F1AgAINtwGg07IAAAkEtwGg0X6UM6jY8InaXDPT30/nCKKiwCMAbcgkM2hZHHH3+cOjo65C+io0eP0ve///2IPl555ZV06NAhuRTwAsJIHnJqxSI6u3OL/BU/p/s/pMNHO+UvAABIHk6j4Xx+AADINThiBOk0/mB06CiVbFhJEza8RYe1usgoDZ48QEW1JXRZ6XPCCmqbqP5kKoSxD6m6diXNavtQ/s4FQtTTto4uq91LSGTNDm7RIRPCyJYtW+iZZ56hc+fOySmRDA4O0je+8Y2I/n3lK1+hU6dOyaVANCCM5CEcNdJ7/3Tjj0V8D/3zw+epdNOz9JOHvkZ129bJqQAAkBxIowEA5DIsiiCdxgeETlF13Qv0t5UNtHXQI1pktJdKqlbSrNZjNCgmnKf21rVUULWDOkbFBABSilt4SLcwMjw8TF/72tdEW9OnT6ehoSE5x8mvf/3riL79/u//PjU2NsolQCwgjOQpHDUysGWj/KWHBREWQm5ePFmIImyIGAEAjBWk0QAAchmk0/iBYWpvraTLS1+ipd1nyVPjCB2hovKVVHhwQE5wMdxL1Q3lZjRJZT019o+IyaH+Q/SkijJZVUVFncdpUEZjFNRU0cxVxvSqGrq/RkaM9O+lWaXldE9DJRWIddZSyQnz+gr1t9P8ymJjW8U0uX4DzVq1jqr7XULOaB/t3FZlrsvLNeyljmFjrxLe7oVwxEiUdT3bA2PGLT6kUxjhIXfnzJkT0d7IiHkdK7Zu3SqG7LUvxzZx4kS5BIgHCCN5SqyokZb92+iup2dYgogyTqcBAICxgNFoAAC5DkanyW+Ge96g77JD39wlI0G8GKGe99+kWSxkVG6ikra9VH2QRQ7mAnW0vmxMb6KW4X5qbFhJBQ3vUp+IMnmeJje2U8/oKA12N9Hk0pep5OSQKTqsWk/Vfex42lJphAhRIiNTzlFL82pTnBg9RdUbV8p+ymiVUrcwMkJH29bThNqd1M7ihFxnSmsvhRLerlsY0awbrT3ZI5A8bvEhncLIq6++GtEe2x133EGhkHk2OYJERZS47emnnxbLgPiAMJLH6KJGOCJEJ4iwceQIAACMhfbOw/SjWXfJXwAAkJtwVBtHt4H8YXToODXuP0I9Iz1U8srzdPkrO6j9IzkzJiPU091G1W3bqbCymAo27qWjowNCDJnQfMSYa0MICiyEXJATlADygat+h1sYUYKHrc7H+XepcJVtW+K3Wxgx+6FqoFhmiRuJbNctjGjWjdaeuTUwBtziQzqFkZaWFvrTP/3TiDbZ7rrLfBd77bXXtPMvvvhi6u7uFsuA+IAwksfYo0ZYEHmi/EGtIKKM5wMAwFgoealaGAAA5DJcHJqj20C+MEQtzWWGA7+SZm16mSaUrqane/S1FGIROrmDpgjBoC+HhJFSfcRG2oQRj/bAmHELELfeequckx5qa2tp3LhxEe2y/cd//AfddNNN2nnz58+XWwDxAmEkz+la+QQ9/9zdWiHEbdWbV8m1AAAgOThahKNGAAAg18HzKp8I0YcdG+lyEd0QTwqNiRBBVlXRk+/3SRFApsasqqPG88O2VJpBM9WEi7KGYqTSJCKMJJBKU6BqnAwfoxJju+FUmkS2G48wEqU90R8wFj772c8KUwLEt7/9bVEgNZ288MILWnHk4x//OH3yk590TOPlFi1aJOqTgMSAMJKnqMKqOgHEy7bufl2uDQAAiYMvsACAfAIRbnnGUCc9vPo5uqyslmoH4nXhOYWmRaTPqJQRx3C99uKrjsKm3sVXExJGxLZsRVJrK2lyhDBiELX4aiLbjUcYidIeGDNXX321MLs4sXTpUjk3fdTV1dHnPvc5hwiis6KiIrkGSBQII3mIe6SZeA0j0gAAxgKGwAQA5BMYWjzfGKXz5/rpg+G4C4vkGCPUc7BeRqukUoRI13ZBMtx7773C7GIE1/NgceTMmTNyqfTQ0NBAf/7nf+5o227f//73PYfzBbGBMJJHeI00E68BAMBYYFEEw/QCAPIJDNsL0oojMsOMPgmn9YyBdG0XjJnXX39dmE6YuPzyy2nGjBmiIGsqbPHixTQ66hTDNm/eTJ///Ocj2r7kkkto//79cimQDBBG8gCO9Hjw+blasSNeY0EFAADGAqfRcDoNAADkC79c+ISIHAEAgFRw/vx5Yd/85jcjxIl0GEenuMURFmbckSPLli2Tc0Gy5LQwcurUKccJz7Rx8ZpZs2ZRW1t2/qCe7v8w5kgz8RpGpAEAjIX3j/ZgmF4AQN5RUVOHOiMAgJRz+PDhjIkjr776qmw1zJYtW+jSSy8V86dOnYpiqykAwkgcxhddV1eX7FX6YUGkdNOzWoEjWeO6JAAAkCycQvNUcan8BQAA+QGPSoM6IwCAdNDX10cPPPBA1LofqbBvfOMbWuHj7bffpnnz5lF/f7+cAsZC3ggjXP135syZGTHdxX3//ffLXqUfFkaSLbDqZVyfBAAAkoXri3DxVQAAyDdQZyTPCZ2lwz099P4wKmyA3OTQoUP02GOP0Ve/+lX61Kc+FeFHpsIyMfJN0MkbYYSHKMoUPB61/UJk42rDa9eulUtkDhY0UpFO0/PBUblFAABIHK4vwuk0IHFE4TyYrwzkF6gzkr+MDh2lkg0racKGt+iwThcJHaGictc9GrNQqXtYXhvWELi2YXHlrPgZoZ7336SfbTti/Ms25O+YiNJnD8SQxJvepJY060mZageAdJM3wkh1debyQ6+88kqHKKKMKwDX1tbKpTILCxucXpNsFAkAACQLF1xlYQQkBxxpf4HzmX9wnRE2kGeETlF13Qv0t5UNtHXQw+sWwkgZFXWrIUpHabC7KcbQtvEII2Px8oeopbmMJjSzMJI9Rrq30ITyLWkXLDLVDgDpBsKIBrswwsMu3XnnnfR7v/d7ljiyfv36iOrAmeL88Hnauvv1hIbt5RFtAAAgWTiFhr+4guSAI+0vcD7zD44WwTMs3xim9tZKurz0JVrafZY837ojhBEDa1qPM1ojIhpkOzW21dHk0mKa3LCXOoaNVrwiRoZ7qbqh3IxIqaynxn6WPM5TR2cTzVqlIlXWUsmJ86ZQwL8Nm9D8Fq2x+mBGkqjlC2qbqP4kp3hxVEkJTa7fIOeV0KzWYzTI7VrYxZw4lrdH0gjRQt9Xs+1Smlm7hgqM4zCltZuOHqw3jgkvV073NFQa/TSPgYgMMdoV6xvzCtt6aTCiHdE6AHkJhBENdmHkW9/6Fo2MjNC0adOsaZxW82//9m8ZLciqg4fxXV79hFYMsRsvAwAAycIjOuBra/LwCyPwDzif+QfXF+E6IyB/GO55g77LgkVzl0sgcBEhjIxQDzv2ImLkVHRhpHS1sd45o7EuKqp8nqa09hrOv04YuUAdrS/TZZVN1DLcT40NK6mg4V3qO/8uFa6S21DLiOXtESPhVJrQyR00pbSc5h88QyE6Zyyzmi6r2kEdo7zM81RQu5Pah0NmxEtE1IpbGIm1vCuSw7Ovclsb99LRUaOVvr00Wy03fIxKWAjh5UaNY7mxzBJgzOVeppKTFxAxAnwDhBENdmGE/82cPn2arrnmGms6GxfY2bp1q5ifTWIVa8WINACAscBfWnlkB5AccKT9Bc5nfsLDjaNOUm4zOnScGvcfoZ6RHip55Xm6/JUd1P6RnOmFPWJBmVVjJCxKCLyiQeyig3aZASGGRKbGjNLgyQ6qbttDJSqaRCyvE0Y+MLcnhBC5utXWBx79jCaMxFreneLi1Vf7tkap72AdFVh9lL95OSGs2I6xsOfFehBGgF+AMKJBJ4wwJ0+epOnTp1vz2MaPH08HDhyQS2QfXbHWtkN75VwAAEgcjOgwNvgFEvgHnM/8BCNr5TqmmHBZqeGkb3qZJpSupqd7bOkxXkREjNiJVxixRVAkIIyICJBVVVT0zl6qPthDHdbyuSeMePc1EWHEjBBxA2EE+AUIIxq8hBGmt7eXbrzxRms+2y233CLn5g5crPV3v7uXblrwTRFRAgAAycBfWPlLK0geONL+AuczP+F0QE4LBLlKiD7s2EiXi0iEOFJoFFGFEVPQMNNEzlN761oqsIseqrZI/2EqqlxJs9tOxZFKM2ilwLS9v4UmqCKvKu1EiAqmMCLSbWzCQ/RUmjQJI7J/9n87++rcVvRUmpU0ubHd+PcoDZ7YSbPsqTRRi90CkB9AGNEQTRhhWBy56aabrIKsF110UVYLskbj/UfvoOEjh+QvAABIDBReHTtwpP0Fzmd+wumAeJblOEOd9PDq5+iyslqqHYgz/CCqMKIceBZbSmjWG/XGv+2ihyq+aszbdshw+I1VtMKIgb34qipcqoQDMa2KFr9RRQVCIPhI1v14jgoamqnYEh6iFV9NvTBi1k4pNvpm9Kmv26Ovrjos3Eer+GoZzaots46Btvgqr2JvB+IIyGMgjGiIJYwwnFbzve99z1ru0ksvpcrKSjk3dzi3bxedePRO+QsAABIDw1yOHX6JTDujvVRSVSy/UEqGj1P97nfpYEbeUzl/vZ1ePPiB8fpuYoZuZ/JFmcO+X6N/5gKKcko6yMj5BCkHw47nA6N0/lw/fTAcq7AIyAijZ6ixsdz5dwUAHwNhREM8wghz+PBh+sEPfmAty+JIU1OTnJs7sDDCAgkAACQKf2HloS5B8mTEkRb53zzUohIFZAh5pl5oRfsrqfDggJyQadSX4fT3AcJI/sL1klggAQDocUaFcFTLm7RTDE0MgP+BMKIhXmGE4dFqeOhetfznP/95uvPOO3OqICuiRgAAyYKRHMZOJhxpM3fdJgqICBI5/KQ5Ja2Y7esL86Ufe7h8+vsAYSR/wQhbAAAAvIAwoiERYYQZHByMKMh6ySWXUG1trVwi+yBqBACQDPyFFYyN9DvScuQAJQq4hlUMR42MUE93CxVyLjjPs4a0lAgxpZQKO7tp57YqY3tKaHGtx7nlu7vMfHyrbdWeXCdCmOFUm3fDw0RyTn/zAeoYDqfZqNSb+hOH6UW5XOyvleepQ9QIeJ4mV67MSI479wvkJ08VlyI1EAAAgBYIIxoSFUYYLsj6r//6r1ZBVjaOHnn33XflEtkFUSMAgEThL6s3//JB+QskS/odaTlighhhgH9LscIhEozQ0bb1xjQlhqgoCzn6ACMElTKatXGTTTAxluMigqrYoEGov53mV9pFD03ajiO1RrVlL9ZnFi0Mr6NGfaiiwua3TcFEjoLgHfXC+7mV5rfupcaT/WL9TKQOQRjJXzAyDQAAAC8gjGhIRhhhVEFWuzjCaTa5wgdPPoCoEQBA3HBtEYziMHbS70i7hQm3UEJyCMYSczhKc5KBcz0zHca1jIj8kMNYykkR7WnSdhypNXK+e/hNZ/qN3KYYVtOcr6bZ98MbXrY0I6lDEEbyF4xM42fMEV9+tu2I8S8AAEgcCCMakhVGGHdB1osvvjhnCrLysL2IGgEAxAtGpEkNaXekYxZelUJJRJqJXUDRRZm44XSYDqpu206F9oiRiMKrTmFGpci4t2sKI3K9iG0YCEHFNdKOF7r10wSEkfyF6yVx3STgR4aopbmMJjRDGAEAJAeEEQ1jEUaYQ4cO0bXXXmtt4x/+4R9o69atcm52ObViEQ1s2Sh/AQCAN5yPv6khN55d+Uy6HWmHwMBERHDIyAujH1oTAoYpZrhFiPAIBcU0uWE7VbftperWTTTZ1p4z8oOxCzOR0SsK+3qR29DsVxR066cLPmYgf0HdpFxkhHoO1hvPFfOZVFC7k9qHh13PJPWMaqMDEcuO0kj3Fpogp7E4MuwYXUWl8YWop20dXVZZSbNEzSTjudZ8kDrU9irrqVHUNNL1x0swBgD4BQgjGsYqjDAffPABTZ8+3drO+PHjM7oPXnDUSO/902l0yMwVBwAALzCCQ2rgF+v04Sq8yrijJzSpLpHoUlGkwOFIb3GLEJpIE0d7XsKIfT3TAXIuo9kvT+KJdkkd6T2fIN1M+MnNGGkr1wgdoaJy+cyyPT9GOAWwXN7XYnopFXa8o102ZI8YEfWJymhW6zGRvmemEvKzZMgURmTNJPNZVmIuZ69p5NEf7+cnAMAPQBjRYBdGvvCFL9Djjz+elC1cuJD+4i/+wtrWRRddRLfeeit1dnbKlrIDokYAAPHAIecQRsZOeh3pSOFBvOw7RAJ3ag2jiqqup+q+EX0qiphmT9FhzhnOx2pbWo4m0sSxLSlauIUR6WyYdUd0/fOONIlE04c0AmEkv4Hgm4MIUYKjO3i0qlaq3n9EjnrFz4ZyUeNoRD3Xzn3gsaxNGBHPIDPaI2zP06y2D0xhpHYvCWmsfy/NssRXt7CiawMA4GcgjGiwCyPpsK9//euypeyAqBEAQDwg5Dw1pMKRdr7gw/LdQPZY+JvltHV7i/wFcgceFrxN1jAqlpFqSljdStUtdvFTt6xbGNFFm8lUGocwso6q+1n6ddco0bUhZgAAfAqEEQ1f/epXHUJGqm3ChAmypeyBqBEAQCwgjKSGVDjCcKb9A85ldkFR6RxECBlqRCw5tLiKFhvuoiJRD0RGoXkuawobQjyRaTGTG9upZ1QNF25LpYkljETrDwDAt0AY0bBgwQL66U9/mlK75JJLckoYQdQIACAaHGp+8y8flL/AWIAwAuzgXGYXCCO5yIgYaneWSn+prKPqk+r9VKbVWel7XsvK9EBjGosjp6MVX40ZMRKtPwAAvwJhJEN873vfyylhhDlTvRJRIwAALSyMcC4+GDupcIRTsQ2QG+BcZpe39rXh2ZZPoPgpACBDQBjJEN/5zndyThj5qO+0iBrh/wMAgB3OwedcfDB2IIwAOziX2QWibx4hIjo4YqOJWjBcLgAgzUAYyRC5KIwwHDXCBgAAdpa/uAbh5ikCwgiwg3OZXZAmCAAAQAeEkQyRq8IIR4v03PlPiBoBAFhwqDkXXkXESGqAMALs4FxmHxSWBgAA4AbCSIbIVWGEQdQIAEDx/tEemvCTm4Xj8MXv3Sh+g7EBYQTYwbnMPhBGAAAAuIEwkiFyWRhB1AgAgDl3/rwIMWenQdmPZt0lpoPkYUc4FZZuQid30BQ1JKbgPHV07qHGDy7I3+nG1Z4oulhq60+aGO2jlt2bxGgWfJwLapuoPo0jUGTiXILoQBjJL0YvnKF9h/bT1lPDcgoAAKQeCCMZIpeFEQZRIwAATp2xiyLKUKgw+6TfmR6lvoN1VFD6MpWcZGFC/raGyEw3mW5PcY5amlfTZZX11Ng/YvweoZ6D9TR51Xqq7uPfqQfCSPbhqLhTH+JjUD4wOnSUSjaspP9Vu5PadAVYQ0eoqNwlJK+qoiff70tsFJvhY1Qihvd9nma1fSgn+glzCOKfbePhiMeIKIpbRkXdQ3KCxDH8MQD5B4SRDJHrwsjo0HmMUANAgOFCqzpRRFnJS/n9DM530u9MX6CO1pcNh0IJE/J31Q7qyIhOken2JOffpcJV9igZgzQPDwphJLWwwMHPr0Tsx7fcRU8Vl2rnedmmhq2yRZAxQh/Sqw1ldNmaV+lVL6FSCCN2J32UBrubaHKiIqvvnfohamkuownNaRRGAMhz8lsYGdlHi651vcBPXUK/230i5stMqLeFltxTRrtS+UEodIK2L19CS3aflRPC5Lowwgxs2UinVy2TvwAAQYFHaXA8Rz2Mh/AF2SH9zvQANTaslMKE/Lf19TXsYIT6u+jFhnI5r4RmbTtEPTbfQ6TjGMvXnzhIT/LXV7WuK13lsspN9GK3+qKra284UigZPk6NrVFSXlTqTWd3uK0YX45D/UdoXVsHdTi+RJv9KWh4l/rklFTCfQephUUO3TMrlYbnX6YZpnf3vEL/q7ScFhzuJ/sd6iBCGDGwTQv1HzKfReK5UU6Fbb00aDwRetrWUUFNFc1cZUyvKKPJZeZz5TIhjgyL6IpZPM/xrPmQqmtLaWbtGiooLaYpr2+gm0rLaFZtmbluZRPtPHmA5lcWi7bmHzxjPnuMZ1d9c5WxjtreTmrnZ44QGMrpnoZKc96qtVRyQj7ThnupWj1r7RFttn5dVllH1aJfMtLNvX0bI91baIKcP6H5LVpj34/WHuoz+l1kHSfj2d56zDhOBrp+WMLIeVOEckzn4/eBcZxKaHL9BtlX2/ZGz1Bjo9reeio0+uHPCB2Qj/hAGLmdFllCxAU61vQ0XTVxHq3ojK5ijuwupr+5tji1wkhEf8LkgzCiokaGjxySUwAAfoe/tqpiq7GMl0Mx1uzAL5FpxR0loYmkCPXtpdmrbGKICD1fSZObu8wXXpUOU1lJsxuaaad4kWfMdJXwy7p6iVdpOwYR7bnECdVWw14pYpyn9ta1jtQbs0aK4aQ0NFnOwtG29VRgF1fiwNxPVxRJCkn7uQwguvpIqTREzGWe4RM7aGpZMX1366HoAmWEMKLS4YxnwznDQd9oPBOkU27e2/zcGRLCyGX2lDnLqQ/JZ4kSNmS6nXiOsDDyPBVs3EtH+Zki1pFOv3iGFsvn3AXbs0c9F5uohZ9dYjljHRYD7Ourdmr3Uo+KoBPr9FvPwtPc/3Ilntiebx/xMZDPLM+IN3vEiGs/xPO21HqWm/vPx2JI248+0e8yWvzODqM/umPIwoixfXEsQqZ4IgUn0WexPWP6iZ00a5VfU5dAPuIzYYT5kOoX3kLXlB00HgghGuhsokVzZ8g/bjNoWlk7DdgjTYQ4MkDtm0to2iQ5bdKDtKLDeLiEeqn+0TnOdUUbF+hYa1l4+alLqaKzl3Ytu10uGymO5IMwwnDUyKkVi+QvAICfScaZQDHW7JB2Z9olTJgvxjbhYvSU4WCU2F6kGXddEJWO46zPYUaRuGp2xGzP/nJvdxKsxl3LqL7Y25HT7NuNhawz4NzP1AJhJD0kIvImYqixlDlGh3ppw9uH6diF41S2/vnIe15HtBoj4jnjmidqiHxgCiNChJBYTv0Fc55dUHU4/CvDjrw1nSUIFhtKLEFCRGiUb6EWU2mmjoNvU3XbdioU0SRSDHCsb0axmH0yhWFn2ot6nrn3x1j/zEnxfBaRGc2tVL3/iCOSz8QtjNj2g+GIvLa9VG1F5XG/+jT9MBD9lu0ndJx4e6U20Yb3s8zZDwCyiA+FkY/oWM0CGje3jo5JkeSqZXuEoBHqrKBrJi6git6PnBEj/c00b9JcYzusSQ9Re9k8sf4RXmbSUqpn9VisO09EooR66mjmtVI8MV7YumseofEzKqh9OL8jRhhEjQAQHJINP4ejkHn4BTR9uAUEt+ChhIvIKAqnoBFPCop0EMTLd6z25HwhgGhGpxHTi2V7uraVUBPeblSUKKIJQ08l6T2XwSbetMB4DUJwJjEd98tKX6Cba1+iy0vL6f8dMWPRoqJLpVEIYUQnjNpFCInlvI9FGAnPCwsj5nOooHYLVba9TY0nj4WXc6wfpzBi75eDEerpbrPEl0hxN4owIp6lxm8WVTi18OQem5DhJYyU0OzWFlpcaXs2xzxOEEZAbuNzYcRg8DDVc+GssiV0lfhDpxFGjNtzoHM7VdRspBULZYSIsX43CyAcFTKpkBatq6NqUbskRH1NS2m87Q+nacZ2u9/Ke2GEQdQIAP6HCwk6n2GJGULLM0t6nWm3gCB/Wy/gXl8qlUUTMOw58eVU2LrHePHeQyWcsx6rPTk/IppEYY8Ysf9bznYKJ9EJ9beLugDpFkUYPmYgfYz12aYMqYOZxvmc+eaWzpj3rSCaMCIi3VbS5MZ26hkdlakb/CyRqTRaYSRWKo3O4Y8mjJiChPkcUn3guh7Gs8qxvl0Ykc9EETEzaLV/4AynAql+yXRC7tc5FoBKaHbbKWO6VwqhvR+u/RDHUAnfcrvimXtO248Oox9mjZFBZ1sxhRGk0oDcxt+pNKGDtGLGTJq2bD1V1Gyn9s6NNE0jjIhoECl+VDR1ULtdWAmdoF0blLAyg2bWHKHTLIxwhIj19iXR9sckn4QRRI0A4G9S9VUVxQgzR3qdafPrZFiYcEdfuIULD3RfZ8U09cKucG8venuewogtHUe7jJgvHRA5KZKwo2I6T3JyGoEwkn5SUYwVz7csMPI+PV1RTJeVv0JrTjliFLyJJowYRCu+6iWMOAVdd/HVRIUR9YxR26qnxRyZxs87T2HEwF701CrK6uyXo/iqdrodOVoP96GhmYrt+2GJIbx+Cc16o97YlhRKdP0Q/ZbHfLiLilTUiLU/USJrHMVXK2lWpay3AkAO4DNhZIDaa5bSVZMeoYoe4+VIzJ9J85r4hhug/WUP0niZDiOEEZkmY/83DbbTCq5JMuMl2r55KY1X2wp1U8XdM4XgMiIiSebQvU38siW3a6XSqPac5JMwwpzduQVRIwD4kFTm4eOLaubgl8i04Y62iIj8iEx1EYgX4pVS9NAto74AuwQLsZ4tkiOiPZdQog2Ht39R/UjbP09BxSLzogiT1nMJBGMtxoqIuOwxMjxIvecuGHcn8DtmpJ47yhCA7OEDYcT1B80xXK8SQ3jeDJr25NM0bZIULgb30KKpN9A4FkR69ptiCC83qZD+48lCGs/Tz/TS9uXGv8X6N9BVC+uofZC3rCu+yjd1H+1aNteYFimO5Jswwpx49E5EjQDgI9IxcgNy8DNDWp1pW+SF9jcjRRBrdAc5bG84j90jqkRsyxYxYvv66BQ+bO1FpMW4R7U5Tx1tdTS5dDUVdZ8zfrsjTpg4olxUqk0aC63qgDCSGZIVgVFDCYB04Yps4egU15DvAGST/BZG8ohkhZGenh565513aHQ080+Nc/t2CXEEAOAPUhFerjM4Euknfc60JqrDFupsFxuUGGK+0JZT4e4u2wutTpxg3CHem6jk4EGqti/rbk8XITLaRy271WgJxTS5YQc1qlDxCCGF8epPGDOiRPbLYbHSb8YGtwEyQ6JpgxB6AQAguEAYyRDJCCMnTpygKVOm0H/5L/+Frr/+euro6JBzMgcLIyyQAADym1QVJPQyhJ6nl2ScaaezD8t3A8kR77MPqYEAABBsIIxkiGSEkaeeeop+7/d+z1rvrrvuoqGhIWGZAlEjAOQ/qR7C0stQrDB9JOMYw5n2DziXYyOeaDk8vwAAINhAGMkQiQojHC3yZ3/2Z9Y6f/3Xf52ViBEGUSMABA92FEDuAGEk2OBcjo1Y9ZUQ8ZbjhM7S4Z4een84XQluAAAAYSRjJCqMlJeXW8uPGzeOiouLKRTKzh8ERI0AEDw41x5h5bkDhJFgg3M5dryKsaJGUm4zOnSUSjaspAkb3qLDUV+Dua5Qqas+0BC1NJeJ+yds9oKfruF3M4AYPnjTm9RivNNHDBkMAMgqEEYEIRrYXUJXXVtMu+IcNj1REhVGrrnmGmv5uXPn0tmzakji7PDBkw8gagSAAMHOAqfggNwgGccYzrR/wLlMDe60QhRbzXFCp6i67gX628oG2ipGhfRGFFOuKKPJ5fZhu01hZELzEbJe78UIW2qI2MwLIyPdW2hC+RZqQfALADkHhBEaoPaapXQV/5HMEWHkrbfeos9+9rNi2b/8y7+k/fv3yznZg4ftRdQIAMEBwkhuAWEk2OBcpg5VjPV//HAGouJymmFqb62ky0tfoqXdZyn62Iw8PHclTWntoPqG1bahxjXCiGNaFGHENrT4ZZX11NhvbKF/L81atYZm1ZQY03nkrPOuUbfqqFqMljVKgycPUFEtLyejVHio89ARKiqXy5Y3UPW+cMSIiCRRy6+qoqLO4zRIMqqkcj0VynnhYcsBAKkm8MLIyO4SmrxwLTXXPE1/kwPCyNatW6mgoEAUXeW6Ihs3bpRzYsOFw9L55ePUikU0sCX+/gAA8hcII7mF+XKduAF/gHOZWv73dbfQqqoa+QvkIsM9b9B3eWju5i4alNM8EVEglVRyclgMPz5h4146KrSDSGEk1N9O82NGjLDQ8jJdVtlELcP94aG/WRgpLaHZbadEuk6oby/NLl9LJSf43XuEjratp4KqHdQxaqb1qL6bQ4Ovo+r+kC1ixJZKI4ccn9zYbvx7lAa7m2iyEF6GzGVWyTbEfpZkNMIFgCCBiBHJyO7irAsjR44coS996UtimU9/+tO0efNmOSc+2JGpqKmTv1IPR4303j+dRocQdgqA34Ewkv9kwpk2X/hX2r7QnqeOzj3U+MEF+TvNDB+n+t3v0kH1AVU4GMrp8Q8QRlILR4yA3GN06Dg17j9CPSM9VPLK83T5Kzuo/SM505NRIYaYgoTx8/y7VLiKRQV+BiVbY4SFjZWuSBMDIYyYAofVrmPbbHK+8WxqbNtL1a2baLJtulYYEdtVfWZUvz5w1SHJfOoPAEECwogk28LIhQsX6KGHHrKW+d//+3/LOfHDhcX4jz3/P10gagSAYLDwN8sxfGWewy/p6UU5BuqFXv5eZc/xTyem8yK+5MopfiX95zJYQBjJRZSIYTj+m16mCaWr6emeITkvGuZzwClOFMsirLpUGjspEEaUIGNHCLTGdptbqbqtgzpO7rHWgzACQO4CYUSSbWFk3bp1dNFFF1nLLF++XM5JDB5yjr/0pgtEjQAQDDj6LJ0RaCD9pN+ZluHmlhAif+schXQgw8+do1D4EwgjqQXCSC4Sog87NtLlUtiIK4XGQEStucTY8LTzSQoj9lSaQWMbq83n2hm7MGK0w6k0q8pp/sEzRu/PU3vrWlMo+YhriahIOjldCh9CGBF9GwmLHrFSaSCMAJARIIxI0i2MXH311da+fPWrX5VTTXg/v/KVr1jz/+AP/oDee+89OTcxuMYID0eXzhB4RI0A4H8gjOQ/6Xem5ZdaIYS4vtraHJVQfxe9qIoYOsLYTZQTU3/ioFl8UK072kctu1UYumGVm+jF7j5TBBHh8nK6YWbUiEaY4XB2K5SdCxc2Ub0ojihRqTed3eG2VlXRk+/LdjSE+3vY2q+C2jdpJxdnTBPcBkgNathekIMMddLDq417sKyWagfikTv5nueiq25xlJ9HXIT1gySFEQN78VVV48MRMcKMeBRfVWIITzeeeW/UG8tIoUTUCSk2trmBSlrWWqJH1OKrEEYAyAgQRiTpFkZuv/12a19uvPFGOdXk/vvvt+axPfDAAxQKxfMHQQ+Hv/MQdOli5EQPokYA8DksinAEGshf0u5MuyM2hFhhrzeivqjaxJDhY1RivNiHvwbLcPTKSprd0GwTF86Jr7ThERgMB+RgvfyK6pW2Y4ozVmqNaqthL3WIbUhnxS7aiBopZTSroUk6NPYCimIRF+pLchUVNr9tbnf0FFVvXJnWyBUII6mDPxylM7IWjIVROn+unz4YjllYBAAAUg6EkQzR3t5O//f//l/6p3/6J9q7d6+cSvTmm2/SH/7hH1r7ySk3hw4dknOT5+ZfPiiGpEsXZ6pXImoEAB8D5yH/Sbsz7RJCTJHBlicvBIMSKrBGiGDcgoYUGlatp+q+8JcJMyrDOc3ZniY6xCHUKAGDQ+FtCodjGdUXeztymiPf344UXxz7ZI+ckZNSDISR1IFnGwAAAB0QRrLIwYMH6b//9/8u9o+H5/3yl79M7777rpw7NvgPP4eKpmv43o/6TlPPnf8k/g8A8B9wHvKf9DrTbgEhMoLDFEqcESSMU0BxRXloOU8dB9+Wozt4r+fYrkqRcbVtTi+W6+naVkKNPRLFhiYqxrnN9ABhJHVwVC0XlwYAAADsQBjJIjNnzrT272//9m/p8OHU1gXhP/xPFZfKX6mHo0bYAAD+4/2jPcjDz3PS60y7BQR3BIcSTmTufYRFEzDsefvlVNi6h6rb9lAJ5/ur9hyRH4xTmImIXlHY14vYhkEMkUO3XS8BKJXwMQOpAfWTAAAA6IAwkiVOnz5Nf/3Xfy327VOf+hQVFxfLOalDFRhjBycdIGoEAH+DkRvym/Q60+70EXf0hSbVRYeIwHAJGGJaCc1uO2Wr2eHaXkTkhnO+pzBiW0+7jJivhvp0o9unWKk3qQHCSOrg2kkQRgAAALiBMBIHH3zwAR09elT+Sg2rVq2iT3ziE2LfpkyZQsPDw3JOauE//ukMh0fUCAD+hYWRdKXjgfSTVmfaHW0hftsjPyJTawRiRIaVUvTQLeMhNMiRHJTwIkQNx3ouYUYnuChhQ9Qd+UjbP09BRRAl9SaWADRGIIykDn4n4lRBAAAAwA6EkRicO3dOjBLzox/9KGXixYEDB+jv/u7vxH597nOfE4VZ0wU7NTxCzVv72uSU1IKoEQD8CxyI/CatzrQ7YiMigsNAiiCzWo+JEWjUsL3hwqUeooLYli1ixDZspilKaASViLQY96g256mjrY4ml66mou5zxu8kRA7dPurScdIAhJHUgecaAAAAHRBGojAyMkJFRUVWHx555BE6e/asnJscQ0NDNGvWLLG9j3/847Rs2bIxDc0bD2r43nR9+e3fVImoEQB8CDsQ6RJVQfpJnzOtieoYPUONjXbxwkSJITxd1AvZ3WUO2yvQiROMvcaIYZWbqOTgQaq2LRvqb6f5lcXGfClU6CJERvuoZTcXbOXtFNPkhh3UKIbk5Xk6QcOrPybeqTcusSQNQBhJHYiEAwAAoAPCSBRYBCksLKTPfOYzVj/uvfdeOnPmjFwicdatWycEEd7WF7/4xTFtKxHYwUlXTu3o0HnqvX86okYA8BkoUpjfwJn2DziXqYEFEdROAgAAoAPCSAxGR0dpz5499D/+x/+w+nLZZZfR4sWLqa9P903Jm5KSEvrsZz8rtsHD85aWpm/EGDdqhAkuyJoOBrZspFMrFslfAAA/sKlha1pHtgLpBc60f8C5TA0YhhwAAIAXEEbipK2tjS655BKrP2xXX321qBcSD2vWrKE//MM/tNa94oor0lZw1Qt2cNLl5KiokeEjh+QUAEC+Ayciv4Ez7R9wLlMDpxYv/M1y+QsAAAAIA2EkAbZs2UL/7b/9N6tPbF/+8pfp2LFjcgk97733Hn3ta1+z1vmzP/szqqiokHMzB4eQctRIuoqOIWoEAH+hhvwG+Qmcaf+Ac5kakB4IAADACwgjCdLa2irEENUvtrlz58q5kXBh1dtuu82x/L//+7/LuZmHXwhu/uWD8ldqQdQIAP4DhQrzFzjT/gHnMjVwtAhHjQAAAABuIIwkwTvvvENXXnml1beLL76Yampq5FwnR48eFUPyqmW/9KUvUU9Pj5ybHXiEmnS9GCBqBAB/gaEt8xc40/4B5zI18IchPM8AAADogDCSJCdPnqQpU6ZY/bvoooto4cKFolirnWeeecZa5tOf/jQ1NDTIOdmDXwo4PD4dX4ERNQKAv+C6RFyEFeQfcKb9A85lasCINAAAALyAMDIGuru7afr06VYfeVjfp556ikZGRsR8/v93v/tdaz6n3HBqTS6QzuF7z+3bhagRAHwCPydKXsq95y+IDTvTMP8YGBv8UYgjZgEAAAAdeSOMTJs2jR577LGsWnFxMR0+7AzBPH/+PN133330yU9+UvTzU5/6FP2f//N/hJDzxBNP0O///u/TJz7xCfrZz35Gp0+nZ6jcZOCiivzlJF3D95549E4a6nhH/gIA5CvsTGBkGgBAvoMRaQAAAEQjb4SRXLGrrrpK9i4MR4FwpMgf/dEfadf5+c9/TgMDA3Lp3IG/AqfL4eGoERZHAAD5DafcIfwcAJDv8DsPRqQBAADgRU4LIx988IFWaMiWceTH7NmzZe8iKSsroz/8wz90rMOFWQ8cOCCXyC3SPXwvCyMskAAA8hsOP3//aHaLRgMAwFhAIWkAAADRyGlhZGhoiJ577rmcsXXr1tGZM2dk7/Rs2LCBvvjFL1rCyI9+9CM5Jzfh0NJ05dwiagQAf4AhLgEA+Q6GHgcAABCNnBZG8pU333yT/vZv/1YII1yXJNfh4evSNeoEokYAyH9QgBUAkM9wxBsKr/qTcxcu0J5j3VTdthcGg+WBdZw8Lu/e3APCSJrYs2cPXXvttXT06FE5JXdJ5/C9iBoBIP/hZwQLqAAAkI/wxx8UXvUXLIiwk/V/1qzUjuIEg8Fy1/i+fa0j90pNQBhJI4ODg/Jfuc9TxaXC0gEP3YuoEQDyG4ShAwDyFX6/SVdkLMg8LIr8+8ZXtA4XDAbLH3tmx5vyrs4NIIykkXwSRnjYXo4aSUeBxeEjh0TUyOgQnCoA8hWOGEHhQgBAPoIC0v4CoggM5h/LJXEEwgiw4DoC6Rq+l6NGBrZslL8AAPkGhroEAOQj/OEHQ477B06f0TlXMBgsfy1X6o5AGAEWHCbPX1XSMfoER4303j8dUSMA5Clv7WtLm3AKAADpgt9p8OzyD3lRU6RyAxU1lOvnwWxWTJMbGqiwslgzDxYkW7S1Qd7h2QXCCHDAzg+LI+moJYCoEQDyF34m4KsrACDfQH0R/8BflXVOVVSr3EQl+49Q76jcCI3S4Ml3qSRdwkX5FmoJhai3bZ35e8Ne6qUhamkui1zWN1ZGRd1DRKEjVFT+PN3S9qH8t27ZsE1oPkIj9CGt3fC88Xsdre0P0Uj3FpqgWTYnTZxriq/PnsvGf7z8brkAhBEQAX9ZSUfIPKJGAMhvuM4Ii6cAAJAvoL6If+BRLHQOladV1lNj/wiF+rvoRSWEVNbR2pPGe+joKVq7sSRynbGaWxgJhNmFEd18vTmFEf0yOW0pEUZgynIhnQbCCIiAXyC4ECvn5aYaRI0AkL9wnRE2AADIB1RheeAPEqsvspIKDw4QDXdRkTtVo7KJWoZHKXRyB00RDusoDfb3kzlkwgA1NpTTLdsOhaNMRvuoZfcmmizW5/SPHdTI4orFeerobKJbXjKdX4Vwgm0RI6YQYCzbfVK2RRTqP0RPblACTTkVtvXKeRzZ0k0dRj+1zjRHwhw8bm3HXP4AFVnbCltku7zsXpnCIkWN4X7qNdrieX0H66hgVTU9+X4fqd1xiEviGOwVfRMMn6KO/hEpjLgjIEroluYD4WWNY7lzWzV9U/RJwcfnNRkx0kRTW3spNNpLJVXqvBXTFPu0qH2zm9q347SlWy0/Qr0Hm6nIcZzVseD9aqEW3heBsWx3iy3Vx3V+PjgprhHr/ETrV5wRIwUbmqjedm1571uU63CV7pzztuzXWu4ZhBGQs3DoaTrG/B850YOoEQDyFI4W4agRAADIBziFJh3vMiA7JCSMrKqjxvMeooLdpMNqRpCspMn1m6hwW5fhTJ6n9ta1VMAOaGO74QCP0NG29VQgthuiwRM7hQN62aq1VHKC32lZUFkZGTESIYzYHFS7QKOcf9WutV2dM61En2NUIhzdErql9ZjRZylqOJZVTrKBXL5gw05q53b79tLsVVI8MJYQ+1e5ngo3VBrTztm2X07zD56hkIqyqdpBHaOj8hiotg00wkjBxr10lJftbqLJpavN7cpjZfZLk0ojtn+BOlpflvvwMpWcvCCPk9yGV98c+x7et96D9bb2+Ry00/zK52lyM59rsy2rr/LcOo9TrPMTo19xCSPmflpinox4ovPvUiFfa/b1YlyH0a8117ZyxCCMgJyF6wnwV5Z0DM95pnolokYAyFO4zkg6oskAACDVsCiSjoLyIDskJIy4BQovkw5r2GG0O+FqOelg6xxUw0wnVNYRiSmM2B1+uV3hFJvCgKNdIRDonGmNeTreqn/2dpWTz070y2Yf7BEaol378oaJ7bPwUk//zo68I6JDOvQRwogUcDzSZTyFEflv61iI/shjGrVvblFIHl9bXyOOhXXcmulh7qsuUkUcp03Rz0+sfnmeH/vxkvsthBj7MvGZ/TqMfq1FrpsLBmEE5DT8pSUdX4c/6jtNPXf+k/g/ACC/gKMBAMgXIOT6i3QKI5bDKn9rsZzKcips3UNrjf6stdJZ4hVG5HKifZuzuobXczv3drFATVPGqRTbzT60dVipKrplnQKEOa2g4V3qE32pinCYzeX1jHTvoKd5eYdIZHfu7f+O7ow7+2XfVymoCJHieZs4EY6E0BG575HtR5wD6/zr9sswdf6274h6fr4dq1/u68wy+/GyRd+IFJ8OWvvOFjMixLGOMu/rMGI/IYzEBYQREJV0Dd/LUSNsAID8AqHpAIB8AKl//iN1qTRSVGjdRJM9hBH9eoatWk9r+wwXmOuO7GdRYjs93Pp+2AnNiDBSQrPbTpExh3q724w+7KGSzTs9++0UIMxpsYURez/tJvucVmFE9Y8jHl4zo1Fke9H75rZMCyNR+hWXMCKnraqmonf20jpVF0VXJyfGdRh5nCCMxENOCyOnTp2ij33sY1mzcePG0axZs6itLbijMHAqDafUpHr4XkSNAJCf8NdXDNsLAMh1uFYaikX7i6SKrzpSI6RJ0USkLMiCqWGHVaaFuB1kaWFBQTmcKt1CTktWGHlJ9imeVBqd6OO1rGFmu/a0CtVnFiW4NobLYRbbcosAyqQjn9ZUGmO+OkcDfXTc3peofXNbIsJIKlJpovQrEWHEZpHXjGmxrsOo1xqEEU8gjMRhl156KXV1dcleBQ8evjcdLxeIGgEgP8GwvQCAXAfD9PqPxIQRw1TBSe1wvWeosdGYFuGwFsuCnKpgp+GEbniTdvKwv4ZTfJ1wSNU8jjxRo7NIJ1Rsz+YgxyuMlCvHVhX3DI9wEuFMK9FAFBA1nHi1T7plDTPbNZqRhTitoqLCydc5zLKQqDpGXNxVjNIjxRUpAljFV9UIPmIbTkffWXxVpYqY2zH7ZabIREbHKFGFUcvE0Te5z6YlIoxsoW8mVHzVfX5i9CseYUSJY+q8WgVcI8U9Uxjxvg4hjCRH3ggjV199Nc2cOTMj9ud//ucOYYTt/vvvl70KHuoLcarzdBE1AkB+wuk0/DUWAAByERZEWBgB/iJhYYRNO6ztu1QSdRjVcirc3WU6+wJOWVHDttqHbDUYPk6N+48YyyoxRDqzPK9/L90StzAi241ruF67I8ycp46DB8xhZjWRLma7xj6cPCW3bd8fD4fZOG4vWkPcGkQMWWwb1jaR4Xq5r2115nbUqCtGK71t21zCiHL+eRXXPkXtm90SE0YmuPfLcZx4fft1YZwf93C90foVjzBS7m7fwLi+6purNVEo0a9DczhkCCOJkjfCSF1dnZyafr797W87RBG2iy++mNauXSuXCB4VNXUiciTV8Og0iBoBIL9gkZRT7AAAIBfhKFek0fiPpISRfDbhTMebNuJtkYIMDJZ7BmEkBnZhpLo6c3/grrzySocoouzzn/881dbWyqWCRbqG7x0dOk+990+nkRMIdwUgn0A6DQAgV0EajT/xtzAi63RYhTZV5Ik9jSQ5gzACyweDMBKDXBBGLr/8crrzzjvp937v9yxxZP369TQ6asXXBQYenSYdoakcNXJqxSL5CwCQDyCdBgCQiyCNxr/4PWKkYEMT1ctaIQLPNIrEDMIILB8MwkgMckEY+da3vkUjIyM0bdo0axqn1fzbv/1bIAuy8ldiTqtJJSpqZPjIITkFAJDrIJ0GAJCLYDQa/xK4VBoYLEAGYSQGuSCM8L+Z06dP0zXXXGNNZ/vqV79KW7duFfODQrqG70XUCAD5BwulHEkGAAC5Ar+jII3Gn0AYgcH8axBGYpBLwghz8uRJmj59ujWPbfz48XTgwAG5RDDgrzGpDqFH1AgA+Qen0yz8zXL5CwAAsgvXPUIajX/xrzDCo5E02EY/SbWVU2HzBs2oLTBY7hiEkRjkmjDC9Pb20o033mjNZ7vlllvk3GCgQuhT/UUGUSMA5BccOZaOobwBACAZWKhlwRb4k4SEEc/hUaXZhtGNmOewGMOcxmpHa84hbc0aIB/S2g3Pa5Ydq8n+89DB4ve6iGFxYbBcMAgjMchFYYRhceSmm26yCrJedNFFgSvImo7hezlq5MSjdyJqBIA8Ao4IACAXgFDrf1IqjMRt6RBGnJZZYQQGy02DMBKDXBVGGE6r+d73vmctd+mll1JlZaWc63/4BYTDVVNdX+Dcvl2IGgEgj0DoOgAgF0Bqn/9JRhgJ9R+j3f0j5gZG+6hl9yYzpcQRMcKpLHupY1h+4Bw+SS08OowQQ6SwYKy7+1gfGZs0GKHe7hYz9cUSRt6iMh5u9/y7VLgq3I+Chnepb7SXSqrsaTLhiJGnt7MoopD9WVVNT76v2uJ96KIXG8rFumqEmd5+o08Mt1e1iUoOHqdBc4rBKA2ePEBFG9aYfVeI/VERI000tbWXQo6+FdMU27SCDW/STnXs7Pts7YcyeYzUcROcp462OvNYi2Nk9Km/X/aRhyCupMLdXdSrvinbzw2bcQyKOsP7FOo/RE9uKLHmeR0f93qO7UabB8u6QRiJQS4LI8zhw4fpBz/4gbUsiyNNTU1yrv9RDlGqC7Fy1AgLJACA/ICfA1yYGQAAsgU/h/i9BPiXZIQRdn53buMhb1cbzvs547cUAuzCSNUO6hg1HPcTO+mWVSV0S+sx03m2CyMsDLz/pjG/mCY3dxnzL1BH68s2YUQKDcLpXyn7sZIKDw5Q6OQOmuLoX7RUGtnP4WNUIoSAcpp/8AyFRk/R2o0lcllj1b69NHtVOd3TsJ4eNNoIL6/6P0p9B+uM/XZHjNhSacR+y/0Q816mkpMXzP5WNlHLcEgeE2NeZT019o/IdtV+KFPHyH0MR+ho23oqsM4F78NKmlz/Gj25/5RxrM5Te+tao4+u5Y3fs9t4/jnj/Kw22ua+jErRKdrxWWkKO2o9NU+ck9Io89T5gmXTIIzEINeFEYZHq+Ghe9Xyn//85+nOO+8MTEFWTqdJ9fC9LIqwOKKDRRh2wLhNWP4Zn7tUC2lBhkPG2RHQHetMGj8H/u2XD2nnwfTGX7chJgGQGvheQuSa/0kqYsQmSqhoCyGGWMLIalOkcEROmAKBM2LENt8SQ7bQBPu/pQNvtbmqjhrPD9uEB2VRhJEIscIw0YYpdHxTLOua7zZ7n6IJI/LfVn9F2yHqbatxRI6o7Zr91AkJmmOkjiGLGS+5zoU4Lrbj5F6+3JyvTf+Jenzq6d/FuTRFJMd66phr58FywSCMxCAfhBFmcHAwoiDrJZdcQrW1tXIJ/8IFWLkQa6pzekdOOAu78kvPnQ89LvKHby1cRIuL19Cy8hpYHhmfMz53fA4fXPKfGE5xDDRtb6EZd82n/znlZrrl/kXa4w3LbXvwyRK64c5f01eMc7h0RSnqIgQcPv8rVlXR92/+hXhGwvLT+D1lY8NWfABIE2OtMaIXRqpMp96RAmMXLqTTL0WMiG072jEjRJRAoE+jcW/fKYyY/9bDbXzbvg/W9jgVaDutNY7P2rYOKyXI7FM0YcTe3+dlRAULHy+b62hxt83mboNNbpv3cY3rXFhCBke0qOVtx8S9vM1iHZ9vbthJ7VZK1HFqbGulIpmCUxBlHiz7BmEkBvkijDBckPVf//VfrYKsbBw98u6778ol/AsP3ZvOvF5+WfyfU2YKZ6Lt/TN06OR5WB4bn0M+l/wS+fL61EYb+R1+2f658eJ9zU0/pzV1zdrjC8sva+3sFSLJP0y5mVr2Ig0gaPA9bf6Nu1mIx/W7DmivE1juG/9tW9+0W4jVfD+zgA1SS+4LI7KmiIjoWOeRRsMWSxjRiQ+mRc5XaSdcA6SN1rbtoZLNO219iiaM2Pv7WjhiY5Vmn6NapoUR7+NjWgnd0txKa/cfkTVMVPpMrHmwbBqEkRjkkzDCqIKsdnGE02z8Dr/YcdRIOsLCi54rpevv/LVwHnQvIrD8tTfffo+u+defi3MMYsP3GUeJ3PXo03kjEHY0Lqf/6vqiatp0mrK4xniB69euF9W6DtALi5+n5W2D+vl5auxQsQAMZyo4qHuaHWn8jfOXscDF9zP+vqWW9AgjLzuiPMz1Nak0dpEgijBy2ar1tLZvhGi4n3qHdWk0bN7CiKp34hQNwhYhDMi0FIeIILah+hRdGLHSWgb66LjVrizCGnf9DdmG7hhyuxHHaKypNN7HJ8I010Fc82AZNwgjMcg3YYRxF2S9+OKLA1GQlfPlb/7lg/JXauBwVHacESXiX2NngF8e8aU8Ng8VLRcOlO445qqZwshUmlJ+2DG9s62Z7p89ncZdvYCWvZOIODJI28ofpHETH6RlPhNG2NiZ4tQapNUEgxl3PSiihXTXAiz/jcX/gh/PFO8yIDWkRxgx/i2dbatw6LZDZjRBMsKIJSoYaNNo2HTCiBIhVJHYM9TYyCOtqP6YdTW8hJFQfzvN5xFjKutorXH9MWafZP+tiBiXMKIiOwQ2IUTVS1HbVSPBaPdJtmH0zCxQq4qpylogEcdIRbnEWXx11VoqOWHsk2ibR9rxOj6vSJFLzSumyY3tccyLUq8FljGDMBKDfBRGmEOHDtG1115rbeMf/uEfaOtW//9h5MJnqRq+l7+ksYOAsGL/G38p57x64A1HY7GAlG8ioZcwIqxrJ91z3fV0SeFm2uue52n+FkbYOM2M06WAv2FnmaMhIfz721gcgdiZOtImjIgaHTGG641bGDFMRmzo02jYnMKIGvHFmEC9beuM35voxe7wcLT2YWUjhBF333mY3IMHqIW3J8QQJQDwPI5KqXUJIyqdhle1pxPxdlvM7Ugcw+I6TEWM9FPHB7K+jn0oXN0xKi1PaLheGu6ltartKMcnYh4fj84mObJOlHniepDHX/UBllGDMBKDfBVGmA8++ICmT59ubWf8+PEZ3YdswM4bp9SwqDFW+KUx376Ow5I3dhBSJar5kSXPvigcZt2xy2WLKoycPEP1z97tEjlOUn1NOd163fUy5caw6xbT4sYj1HnyFK1dfFt4umH/dXGL8Yf0LL29azM9VniHbd4ddOuKnbTtuLvN3Dd2lLneBBwpf8M1KCD8B8M4KogLLIOxk5AwMiZzR1kkaCKKwyuNxo+mEY9gsAQNwkgMckEY+cIXvkCPP/54UrZw4UL6i7/4C2tbF110Ed16663U2dkpW/IfXIS15KWxnyuu7I7iksGxkrWvi5FqgB52ovKxBkF0YeQs7a15gi6ZeBPdWnPM+N1PzeULjN930O01XdRpLBNOuXmCSg+fNZaJjBjpfKeGrrv6erri1w2mEHL8CFUtuc+2XXe7uW/sSCH83r/wRwQuoKw79zD/GUeN8DMcjJ30CCMq9UUV4VQRFgnUsXCYsX5zFw0mK6rkpUEYgY3dIIzEIBeEkXTY17/+ddmS/+CvnPzFdqxfO/PVEYQlZ/zl9GfzkT6gg+8ljiDQHbdct+jCiGv+8TZ6bOr1NG5qOdVbkR4qquQ2uqfxlPHbLYyo+XfTY7vCKQmdu8rpSiuiJNxevhgLhRwlBPzJmvWbxAg0unMP86chCiw1pC1ixJ22YU+x0C3vZbLeB69v1s7QLONLgzACG7tBGIlBtoSRr371qw4hI9U2YcIE2ZI/qaipo18ufEL+Sg4WV3QvFzB/GqcP8DkHkfDX5dkPLNYet1y3hIQRNb3rAJWW14jUod8u5sgPTo3xEkbUtjgFZ4NYZ1nZcppytT3VRi2TP8ZCIeqM+JfyVzblZWocLHm77YFFaRm5L2hkLpUGBoNl2iCMxCBbwsiCBQvopz/9aUrtkksuCYwwkorheyGMBM8gjOjxrzCiUmmU6NFP22qepCtYCLn6PrqnjMWRBip99oGowkhnWwPdLmqS8BDAVcY6G6i0poymQBgBOQqEkeAZ10yDMDJ2IIzAYP41CCMxyJYwkg6+973vBUYYYbiQJo9SkywQRoJnEEb0+FcYkWkwqn7I4c1069U/oUvm1FBz3Kk0x6i08KaIYX/zPZUGwoi/gTASPIMwkhogjMBg/jUIIzHwkzDyne98J1DCCMPpNJxWkwwQRoJnEEb0+FYYUUKIGq63rYamTLyerny2TRReNZeTwoenMHKYls2e6qpLoiJRIIyA3ATCSPAMwkhqgDACg/nXIIzEAMJIfsMvAckO3wthJHgGYUSP/4QRHl63nu7h0Waue5JK22SkR9dOuodTYq5bQWu7zorRZdauWGym1lgjzChhhIWSLmrY1UZVi39m/P6Z8fuEMb+ftjW+bA33a4kueWYQRvwNhJHgGYSR1ABhBAbzr0EYiQGEkfznqeJSYYkCYSR4BmFET/4LI2YhVKfdQbc+u4nWKlFEGAsmNZaoMW7i9XRFYTm9UP4MXWmLJLGG8DWWEcJHVxstK7xDrmPYdYvpsVfW0T0RI9zkj0EY8TcQRoJnEEZSA4QRGMy/BmEkBhBG8h8eni6ZQqzs4OheLmD+NT7nIJJ8FkZgyRmEEX8DYSR4BmEkNUAYgcH8axBGYgBhxB8kM3wvhJHgGYQRPRBGgmcQRvwNhJHgGYSR1ABhBAbzr0EYiQGEEf/AI9TwSDXxAmEkeAZhRA+EkeAZhBF/A2EkeAZhJDVAGIHB/GsQRmIAYcQ/vLWvTYgj8RZihTASPIMwogfCSPAMwoi/gTASPIMwkhogjMBg/jUIIzGAMOIvEhm+F8JI8AzCiB4II8EzCCP+BsJI8AzCSGqAMAKD+dcgjMQgpjAyso8WXatGOZA2dQn9bvcJCslFvAj1ttCSe8po14ickApCJ2j78iW0ZPdZOSEMhBGi94/2iHPEBVljwcvpXi5g/jU+5yASCCPBMwgj/gbCSPAMwkhqgDACg/nXIIzEID5h5HZaZAkRF+hY09N01cR5tKJzSE7TM7K7mP7m2uLUCiMR/QkDYcSk5KVqWvib5fKXNxBGgmcQRvRAGAmeQRjxNxBGgmcQRlIDhBEYzL8GYSQGiQsjzIdUv/AWuqbsIIWM/wY6m2jR3BnC6Ro3cQZNK2unAXukiRBHBqh9cwlNmySnTXqQVnQMcFgJ1T86x7muaOMCHWstCy8/dSlVdPbSrmW3y2UjxREIIyZcYySe4Xv5OOpeLnLejrfRY1Ovl9eB3a6nKwrLqXTXSf160ez4EVr7/AZae/isfr5PjI8TiGTswsgxKi28yXU92u16uvLZNurUrpuonaW9NU/QJRPvpsd2ndHMT7G5743Dm+nWq1O5P9Gts20nLS68wzyO1z1By5K5vzUGYcTfQBgJnkEYSQ0QRmAw/xqEkRgkJ4x8RMdqFtC4uXV0TIokVy3bIwSNUGcFXTNxAVX0fuSMGOlvpnmT5hrb6TN+DFF72Tyx/hFeZtJSqu8PyXXNSJRQTx3NvFaKJ3SBumseofEzKqh9GBEj8bCpYSvd/MsH5S897GjoXi5y3qQwcknhZtrrmHeS6sufoCsm/ozuaTxhmx7LpKN59RNUCmEkkKRMGJlaTvXHdfNTaZkURrJ8bxw/RMvm3EZTnt1Hb5/sp+byBSnrC4QRfwNhJHgGYSQ1QBiBwfxrEEZiMHZhxGDwMNXX1FFF2RK6Snwd1QgjIrJkO1XUbKQVC2WEiLF+NwsgHBUyqZAWraujalG7JER9TUtpvNiW3Yztdr8FYSROeIQaFki84GOqe7nIefMURtik85SQgwphJBPEO1pSNoAw4mXZvTc6d5XTlRNvoltrjml/j8UgjPgbCCPBMwgjqQHCCAzmX4MwEoMxp9KEDtKKGTNp2rL1VFGz3fijtJGmaYQREQ0ixY+Kpg5qtwsroRO0a4MSVmbQzJojdJqFEY4QcVd41fbHBMKIE35B4JQaL4fUn8KIYSLU3+k8dba10LLF9xnOpBTZrr6P7nnlAL198gzVP3u3OU2YLUWAUwjKl9OUq9W86TRlcT3Vd+WveML7kS34WuTiwLlI5oSRs/R24wpXVJN9Wq8UIhbTstfX0a3XmSljl8xeQS9YKSQ6YaSftjXW0D2zp8tr9Q669dnNtmvV7N8ls5+kX8plzPvHvZ69LY97Q5NK47y/3Cltsu3CdVT1ygrrfrpk9gtU1dYvl/EwR1upFWkgjPgbCCPBMwgjqQHCCAzmX4MwEoPEhZEBaq9ZSldNeoQqei7I+TNpXtOHYt7+sgdpvEyHEcKITJOx/5sG22kF1ySZ8RJt37yUxqtthbqp4u6ZQnAZEZEkc+jepl6ONTG3a6XSqPacQBiJhIuwcjFWHeyc6F4uct5iCSNi/tSw49a1k+657iYZjs/LqJQb5VjqHK4TtHbxzwzn7SV6TTiXhvO6q8ZwVG3bzUPjc54tlIO9dXuLnJI7ZDZixLy2xl23gtbytSWuz6l0xeKdxvWpRA/jWF33JJUK4eAkvfbsA8b1uYCWvcO/3cKIElbuoNtruuQ1v48emz2dLplTQ82iP7J/1jKnaFvbSXO9qx+gx3ZIEaOrjZZxPQ9rPzT3hlsYUf3/dQNtE+u4+6vank5TljSby8j+xT5e8lix0POfz9CUq6fTdeWHUnL/QRjxNxBGgmcQRlIDhBEYzL8GYSQG8QkjpkNjmWO4XiWG8LwZNO3Jp2naJClcDO6hRVNvoHEsiPTsN8UQXm5SIf3Hk4U0nqef6aXty41/i/VvoKsW1lH7IG9ZV3yV64300a5lc41pkeJIssJIT08PvfPOOzQ6Oiqn+AcetpePn274Xp6ue7nIeYtLGFHzPb4yx/oSrYk6Scz5zU3jc54txH0s7aniUjk1N0iZMGLbR6e50l6kWHdd+VtUZRdJLNHDVSdH1Nq4yXm9qm1KIdAUVuTyhnW+U0PXWdew7J/jPjCnOe8j17Y97w1178ioEqv/cjuiv9PltnX3jbsdNd1tZ+ntHS/JKBOb8JMCgzDibyCMBM8gjKQGCCMwmH8NwkgMYgojecT/v723D67qOu/9b5p2MnHrxOkf6XWb27nN7S8eN55UN0099e0kqRuntvujuf4xTZ2OUzsNLTghreMkN6kTExyCfeMxGFwccBQsLGOhgwG9AJIAW5EMGPESySCbg4QQGBBIIISREEhCHD2/9ayXfdbeZ+3zIh1JR+d8PzPPSGe/rL322mvvvZ7vXutZ4xFGzp8/T7Nnz6YPf/jD9JWvfIU6Ojr0mvxhU80O+v6Tz+pfcdhhczUuct4yEkbMch4y8JpsKK+KrNNDFFJ30echAsVyny30tJkZA8LIuIiLBMo4OHCuxB2Z2h4jbEYY4LLwD6tx10UtQMj0A6KCU8QTpgUTVceT5I+HjL3KdVzYL5fQHTJP6QojLnGFzc7veIUR3fNEDgt6Rd6zXg+Yk0epeoKz00AYyW8gjBSeQRjJDtMmjFTU0fKGiHsdzGElNKuhgRZUlDjWwSZu+Vm+EEZSUOjCyPPPP0/ve9/7vP2+973v0fDwsF6bH5jpe996O6qXKNg5dTUuct7SEkbsoTS62750sLaIxvJrVL3/teQ9RjynjOMlrJMN7OLGQ/RyRs5v7hlf8+nCFkWM5UrckakXRoRJgUGUg6+3RebCSGhAUt994hYnvN4Y9y+hp1kYefUAvb7ZFixSCCOh96LOr9yvaxzCiB13hUUjk1dxPy7ZR03OMsrMIIzkNxBGCs8gjGSHzISRdbS8y9VmHqKOzv3pO5WRndQci1FPdIt7fSqr2E6lnedoUB+daJR6ulppeV2pe3vb6lqph4apuWmde/20WIQWtByljpF4T/bYwCmqbqqiIr3N7U2nxFlepOq6NYF90zO1vz7vHCwDX/4S1ut6FztFyyPBdeO1NTQvetFLc6Llm6sGYSQFhSyMcG+Rj370o94+H//4x/OyxwjDcR14lhobdkxdjYuct1TCiHTcjMMV0tXf99U70flTzmZgOMN4nN8cM77m04UtiARtuuOOTL0wYuKM/AfN9uKL8PLMhRFVl8fRY0Sv9w/BCQoWjvz47h2VbvZ7jLj20TNOyTrDAol/6FCmBmEkv4EwUngGYSQ7jEsYGWiled4y/tLeKp36WH8rzS+3tw+xiQgj5Vupun+UYgPHaYURQip2ULWoEzRykpbPuC/+pTQ/2kexsX46sNcIIRFaEO2hQbpKzU3r5XZZFUYc66fbpl4Y8RuEkckDwsgUkakwEolEvO1vuOEGKikpoZh4MOcrPJyGh9UY2CF1NS5y3pIKI7ZDxr/djpsSPsKEEYczyKaP63fWZpbxNZ8ubCHEZdMZd2SqhZG48NajA6CGBVbV+/hEjsA2ToEjJMaInT+noKLvn7SFkRDhccIxRoL3sTZzDyaIlpkbhJH8BsJI4RmEkewwcWFEWVHDUeqna9TRslH8ZrFkPzWK6xRniDqO7aJ5r7IoohcJRrt20u0JPUDGaLC3zd0DRPZ2SBRV/McXy8qraPmxeJqekBLoLVFUt4cODIzqrbjnSbPu+aLPdaSXmr3zEOtP76F5RvwJO4Zet+J0v47PyOtO0ivOoUNbqJonqgiWafkOahwao1jvfnpAOu0Gkfd9+2UZyrLT2ycIC0YskgxRZ++AyIte7ysDvlbN1OwsAys/2sZfXknqhFjv5b9lJ73SxeVm14FEYSQ8H6U0r6nN6n0Tdj7xHiMr9wXKV5RLUd0uqrfyGn79ctsgjKSgkIWRu+++29v+0UcfpStXEqcAzie4wWBP38vOqKtxkfMWJoxwrIQXl/hn2TBfmS3H851f1+vpSQPCiHTS+uidk5e0U2nNgHGyjV4205FCGBkXtggSZtMVd2RKhRGfaGD9lvEzTF20p7PVw7oSArTGxYu0Z6Wx8+c7Li/rpXpvOt2AMGLdG35hhI+V5qw0GQkjwsxsUmYmG3F/Vy7je/AbNHv+N+SU24//6pTKwzgMwkh+M3XCyAlaNf+BhGeZbf99SbNojLr2zdT0se4ppuoe1/rxmn4vLnmN9srfk3WcyTUII9khW8KIceSlsy7/j9Hg+QPKKS6vptLz/K6/TI0NawM9RtbSgs7LwqE+S6XSCRaObctZGhSOcX/nDm8oSfA4yR1V3QvD9Lio2EXN7CgPHaUF2yxRQC638llRT43C2VY9X/S5es69cOybTop8GfElyTHK14t9r1rnFKEnOi9RbKyPqrdp4cQzff5j/dR8cDvN8q2Lm69Hgyw/kbNQYWQjlfZe845fVHeA2qVQoNdbwkiRKI8zY2NeGZhtnb1/JlJeKeqEyr8gkGdf2kYYSZaP6v3UwefTtUuUpchDYzv1iN+JdSnZUBpTfroHkk5fXVs7jdw3CCMpKFRh5K233qKPfOQjcts//MM/pCNHjug1+Q1/lTdf5rnB5mpc5Lx5X42DDdCHaPaSaioLBmX0HCq13c3zi2mVjhfiOadmmlJPLBmgvb96WTuJwoQT9lhEx19IGOYwc4zPZbqIX6fkNh1xR7ImjDjOxzMpDASFOrV/XIjroINSMDDT0/K+HOdmI1VLkYS3d4kKHFy4Rgt+vA/H03mD6r1eHG7h5li0iR739uH7p0bH37F6kgTvjaAwItNpplVGOJT5jVj34TiFEWHHogdoiQl6bKd77iSVLfwJPRyJjns4DYSR/GbKhZEpEREm61g63fk1WhiZmQZhJDtkTRgJ6/mgzee4pxpK43D848Y9D9TQHQX3LOgQ78x98V4BWjxx5sUTBSI0u6WHYmM9VFoZ702g8snO+kZ1rvZ6O1/JjlHJzrnVe4VN7hsi9vh6dwhGzlFj9BCVWsKPz3FPJYzIc7SPX6LONUEY2ahFGbsMzLZaxNLpe8vHW15eOnGz86z+d+XZSluKGCny8VabOLdROhPdmljOPksmjKi67BSHZphBGEnB5Asjogof20E/4Gl7ZeP23+kHNZ2iqmafdIWR3bt3U1FRkQy6ynFFtm3bptfkPzxtLzue3Hjg6+FqXMDy1/iaTxfq/k/fpjLuyMSFkWxZeoIBbOIGYSS/gTCSiUEYAXEmTxjhgKKHqFqkX+0Nk9GOuXSYbWGExY59attohyd6hDnUxorqdlJF9J348AzTQyOZQ+6JApXqXJxY600vBd7XTjfJMZST7SbpOfHQnMN2eQ1Re0u1dPB9jrvj2Gq9LTIEhA2rl0hCGQR7QtjbmmXm2jtJo7xkGuF1wi9MqP3V8Khg2inysXeH7onCcFDgd6jCCmIbt2TCiOm1xGjh7fBO1TslIZ3cNggjKZh0YSTWSS9+bQ7NqemiGIskB0vpzs//gF48FlaJx086wsipU6fok5/8pNzmgx/8IL3xxht6TeFgpu9l59PVuIDlr/E1ny5s0SNdm6q4IxBGCs8gjOQ3OSeMOHpasflnleql+pqInk5ePwfvX0JLGs2QscCxojU0W2zjH6rjyM/JNirzpuJms3qh9TTTY/eY5WzfoMca30mdhuxF2ayHzwmTeXmA/veSykAvrxqr59rkGoSR7DA5Q2lUgFQ5POQIix376Kctpz3H3S+MmCEpHAsiKrY9RKVvHAgVHcJMDQnR+yQRLRJEAduR95k+13ELI/pcA+vSNlOGLsfdcWz7mOr/SRJGxlteKeqEX5hQ+ycVRkLzoUyJZlEdO8UMrbG3SWNWGi1UbZExTwQzMLgvhJEUTPlQmtG36Zl7v0nPHMx+PI9Uwsi1a9do0aJF3jZ/+Zd/qdcUHjxDDTdcXI0LWP4aX/PpQjWUM7epiDsCYaTwDMJIfpN7PUZcQ8p0kGE5PPOSnnUpHivIG+rmDd8chzCiYwndcP8KKpPD8eLDRONxuvQ+Xo+RkDS8+F0ijZoVdAcLHybos86LHMYnh7iZbezjTK5BGMkOkxF8Ne7QGsc6MJRDOsxaGLEFFZOeHIriEh3ChnmwqR4rygnPYCiNMy22VI5+qqE0IcNmgha6bRLHPUEYCZSvPMdJGkozzvL6bIo6oc7PlWc+Z47ZYtJOlY+ghQkpaQgjlqn1dv5nhkEYScFUCyOxY5vo7gdK6deDUmvLKqmEkS1bttCNN97obVNcXKzXpI/LcZvJ5mpcwPLXXHUAFjdXmcHy0yCM5De5E3yVe2D0ie0coqcdSNzEznIJJ14amQsj/hnY9DbmWCadpMKIybcVjFyannLcnI/Oi08ESTjO5BqEkewwcWEkHvPDxGRQwsgo9XTWqwCYXkwQ7VhKh1mLAVpgiA200xMy0GU83kaiMCJMBzn1B18NTm8bCIxqAn2yAND4Trw3hJeWPraZSUYKBZHkwkiyY1RuEPteFf9fosZGzmMpzdt7nHqCcUek6UCtvuCrpsxiXk8H5ZgbMSAYXNXM0GIc9xTrrR4hmQdfHV95KWEkvE6o8xO767S9fPTup9lBcSNJPl7Ze8w6Dm+rA7PKdHS+pLmEEV2+wTrpBc+1BaSZYRBGUjClwsjgIXrma0/Tpm5xc04Cd911l3cun/nMZ/RSBZ/npz/9aW/97/zO79C7776r1xYePESBG22uxgUsf42v+XThdxYysyf/s3hSe43kTo8R2FQZhJH8JidjjOjhNKaXhX8Yjd6Gh6yIfHPef+4FNB6/MKKW8awzu2SaqyKV8SDN3jbJhJHgFN7xNJVgovOfdl4mzyCMZIdxCSNB2KmP2jEYjFCh4WCiR05Zs4NoR5PXDbxDC3zBVDkuRJsaAhEyCwgPk6g2wxs0sYFTVG3HkuBhENZUujTSQ9UspPiGibCDbk9Vy+kYwSV5Dwgp2IQdg9dVbNfTzmqSzTrD6US5fPS2TLBMzcwoIkXuaeObrlZse0CU7znvvHh7+/jZmq53IuWVvE58VgoT4tp39ept7HwE006WD3GcgyetsuQYIa6pn/3CiL98axLS5/zWO2OV5LZBGEnBVAkjsZ5mWvZ/nqYXOyYj7Krim9/8pncuX/3qV/VSxeOPP+6tY/vxj39MsZj9CC0cOKglB2DlhpGrcQHLX+NrPl0YkSNT45g4kw2EkcIzCCP5TW4GX9XDaeTQmPesYTQ8TCY+9ETG71jHIkYDlf3yx+I5OAFhRM7gpGJ+8IxsP2dxpKaenvblWe/jFEb6qHrJN8T+P6FV0UF9DGUdjcX03z//AM2OnIAwkkdkJozAYLCZZBBGUjD5wsg1OrtrJd35wEqq75mcniKG9vZ2+vKXv0xf+tKXqLW1VS8l2rNnD910003eefKQm+PHj+u1hQVPg4pZaQrX+JpPF0boSNe4nr71dlTvPblAGCk8gzCS3+SmMGL1sti8Kz6MhtfJ3iR/Tzf/ew01ZW0oTcgwmIyG0qDHSKEBYQQGy1+DMJKCSRdGBproB18MOj2TE3zVRWdnJ/3xH/+xPD+envdTn/oUHT16VK8tLHgoAgeyNF/g+Vq4Ghew/DW+5tOF/xmQ3Liesog3VUAYKTyDMJLf5KYwIswMp5n/H3SHPYxGCgvBWWt0D5NMhBEtsKhtBmlv5Cdi/4Co4duGlyUTRjKLMQJhZOYDYQQGy1+DMJKCKY0xMg3MmTPHO79bb72VTpwo3JcmxxXhaXoN7IC6GheTYuYLVXA89ZSaaSSaRqZrG9uCjToep11Pjy15zdF4tPfLXeNrPl3Ywkcym+x4Ii4mLowEHQu/qS7n6da7MMu0/k7Eeql+88v02KsnHOuybYH7yOlgZd8gjOQ3OSuMeGKHeN55w2jE8pMH6DGepvf+F6map7c9d4qqXzTT45r3ZuBY5r1qZosR+1Qu03FJ5DbindX4om/2mGPRA/HpdF2z3Rw/TvXR9sBx0p+VBsLIzAfCCAyWvwZhJAX5LIy899579PGPf1ye2wc+8AEqKSnRawoPE1fEdji5YeRqXGTfTOPs63TH/aKR5Iu6P5NMN/JCnN+ZYHzNpwvZEE9hUxFPxAWEkYBJJ0fHDnCtz6pNrfNkDMJIfjPlwojjeeaZr26bHhjBaWxZeK+hh1kckft9he5YEKGXIy9Ys8ok3ivelL5yn4do9pI1Kg1vm16qjzyrBRa2f6OHfynKZsl3xf+mJ0l8Cl8lwjQn3pMcFPaXRqgRxnFQIs2017zLIYzkDRBGYLD8NQgjKcgVYeTChQt05swZ/Ss7lJeX0/vf/355brNnz6aRkRG9prDou/ieF1fEhhs3rsZF9k1/IXtgDa36hWus8kyx5M7vTDC+5tOFapS7bSrjibiAMBIwCCNghjN1wggsVwzCSHaAMAKD5a9BGElBLggjV69elbPE3HfffVkTL9ra2uhP/uRP5Hn93u/9ngzMWqhwvIbSVxOvLTukrsZF1s0ElVvwBh2U0xMGx1Er83XxZbt/CS1pPKW308NYvC9j/0YPr11HD99jvlCFOI2+r1iJ2yQck7+CbW5TXYNth62rmR4Tx/K2k2m8k+jQpfVV7QH630sqrePyl8Eaqufu0/K4k2d8vOkiXnZ+m+p4Ii6mVhgx9fA/RN2IWF+IRZ2ORHXdY+PhLC/qr7jC7n+aHpN1xq7jA7S3caOVBn8xrrfqks7X/f9Bs8023GOr2+6m799P5dUsF+bVb5GfGju/wnz3qD7Ww8W0yk77/mdp1a+5+z1vI0zcIy9705By3V/p/8LtvGdTlVXmBmEkv4EwUngGYSQ75IcwwtO3NoRMMZtLNlPymY9WmGUPYSQF0y2MjI6O0vLly708PPXUU3TlysQCsw4PD9PcuXNler/xG79Bq1atKtipeVkQYcfTBTsYrsZFdi0Qud6MiQ4Op/HGV6+gsuiA+P02PS1FENW75NjhGrqfA9ZJAWHQ1+V43MKIyYsZ0y0cv9d/+eN4XhO+ZAed38D6DMZhxx27+BSN/m7Vk2NcXtOFcmj9Nh3xRFxMjzAiysCIBt6UmqbuDVBTZLGoi4n1JF7HzRC1h2j2siYpvh2LNtA3xX0Rn9lC54u3+eXb9M65U7R1Vwe9JmeZeESkc16ls/9VKcB4dVALePEeI/H8fLPmpBRCvC78wTgFltBn8uNtY+6RhPMW55VUGElWVqqMMzUII/kNhJHCMwgj2SEfhJHbm07RKF2k6ro1zvW5YrmUT5WXYWpuWudcn2/mK/vITmoWbuJo10663bFtPhmEkRRMtzDCIsiCBQvot3/7t718/PCHP6RLly7pLTJny5YtUhDhtD7xiU9MKK2ZDA9N4CEKPJTGBTsbrsZFdk0Po/GcJ9fUfwHxJCENvY8dqM7bZwLCiF4XLkgEhI8E59den1nkft8xE6ZOnDzjaz5dSOfWsumKJ+JieoQRf30/JntT6bqq64S/bgZmqHCKjMF7yYgVP6FV0UG9jV7mu58CFhRGnMcKmUrUl65/G3WOgfs8OEOG855NUlYmnQwNwkh+A2Gk8AzCSHaAMDJ1BmFk+gzCyPQBYSQFY2NjdOjQIfrTP/1TLy+33HILLVmyhPr7+/VW6VFaWkof+chHZBo8PW9ZWZleU1iYuCLJ4jawc+pqXGTTTE8Pe+iMcWriTl8fVS/5hshPWOwR7XAFe5kkEz3S2cZ8vZbDCCppVY0ZQmNMHzctYcQl+LAFHFVffsw2weNMnvE1ny6MIDLd8URcTI8wkqSuyv+DQ84C+znrUiAdZ90yvT/EPTi/mH4e2ZU4jEum4YgxwkPFhLPJDufPveEw5jxcx7LzfF7/H7xHAvv58p/OfW3SycwgjOQ3EEYKzyCMZIeMhBGHQ+lzsMuraPmxczSo06axfmo+uJ1m6W2L6vbQgYFRvXKUerqa9dCGdbS8a5hoZIB6RsbEujHqP3GAViRJy5g6vkHno2I7vdLVT6bveGzgJL3SEPHtF7dSmtfURh3yuAJxnAN7q6jIlafOHVQkznHF6bC0I7Sg5Wg8LWbkHNU3VdFnXflMmlbAxDmVdlrlIfIz2NtGy+tK9XXh312O8zD776Bqcd8ohqhTtA1iLmHES+sENZtrNXaJGvfu9u3fEd2hr0X4OcfLsJeavX3FdT+9h+aV8748vGU/NXrrGJH2sV3W+tZ42iad2ClaHhHr0yy/hDqyb7+sx7GBs3TQO8d06yqvE+0oK8/+44r6tPc49ZjiCKm3U2UQRlKQK8FXmWg0SjfffLOXH7a77rpLxgtJhw0bNtBNN93k7XvHHXcUbMDVsLgiNpMvjBixIN5LwGfel2UjjNhftS0zX6uDTmePivuRvgPl2EY6eusCMRpqqJqH8yQ4ekHn114ffg7KKdZOptOhczmUk2N8jtMFHzsX4om4yDVh5IhdZ0LSMQKjdz8FTNWxsLrF8UJq6Gkrvg6LJKtMvBCZF/9QGm8oD8fNWcfiSAOV/fLHYl9zHq5j2ed6OuQe0feO2S/VPcvmvI8yMwgj+Q2EkcIzCCPZIXvCSIRmt/QIJ/Wq+H+9WBehJzovid+XqbFhrXDMd1HzSIwGzx9QTm9FPTUKxzPW30rzy7UDLVI6E91KRRW1tKLzQnhadp68POjeAOVbqbpfOLQjZ6mURYPyaio9L5zYMfHu2SZ+B/Yt2tZKZ8bGaLBrl3Be14t8XBX54ONsDORpKy2oq1DrTdomXzrtooaj1C8c+/aWailIFNUdoHZ26oeO0gJxzr58mmOFpOXP51pa0HnZ2lY43y1nadCINfq6xMUQnfZYD5VWsjO/kUp7r3n7e/kKFUY4rUvU2CicfXndeNtR6umsj5eRTjv5OcevqxJDSmhW00mR72vU0bJRXJsd1Dhk1Qlzrcx1rtxPHXxt5HpzzgIpjGRSfoGyT1VeSeuqKcuTtJyFEr1Ona85P1Me4ndjO/WM6ToUyNNUGISRFOSSMMLs3LmT/uiP/sjLE9unPvUpOnv2rN7Czbvvvkt//ud/7u3z0Y9+lDZt2qTXFhY8RCEsrogNO0OuxkXWzNn9ni3Y3V87RkHnxzPtcGW7x4jZxpgVOFX1Zgk6ekHn116PHiOpyJV4Ii4mLozoYS7Oaxisd2nUVfl/Oj1G3IGM45ZO3bKCqhqxUqZtCSMmgLIXu4QtZCiN71h2ntFjBEwdEEYKzyCMZIfsCSPraV70onAuXY5piRJNPEfd3tcSIbz1a5KklWi206scde14m220gy1FBGs/T3DwxAp7nXbq7TzLdAJpyzJxpc2m09A9HHzOecZpBcy+Fvr/WO9+mq3Xx6/LOrqlrpV6fGWir0cSYSSeVmI5+NK297W3l+fsKEM73wn72mmb+mTXGS1KcNqbMys/X9knLS8t8PmOa9ZzXd1O1QMxLZL4j2HyZ6frlYcWx/zbT75BGElBrgkjTEtLixRDTL7YHn30Ub02EQ6s+o1vfMO3/be+9S29trDgRkGyuCI2ky2MqC/awZgb2qyZaloThJLAtl6MkcW06jD35OBlZp9kDlQ62wRNO2lShAk6evq3Uxgxx0ovxojfoQseZ/JsOoWRXGbiwkiYMMYWjLOThrNvYoz4hIh0YoyY+84IJunWLZMnu55awoj8HRRhAvlxHst/rs5nQloxRpKUlVmWoUEYyW8gjBSeQRjJDtkcShPviSAYOUeN0RY11MM4h05430rLmVbphqdl5Ueb7fTGHVi7Z8kW6cwmOuO2E28vd69Tabvx0uYhL6JMq6PvxIeI6DQS8+nGLRrwsJJ9Il1Ou8MbXiK3TXFdnGUixRK1Pn4MYQlphZWDtW/oOTvKNyF9HopzSJ2XN1TIqhM+QUELZiK9lfsyKz+77JPXY31cJ7x+Q7znihzO1EHVh3eqniU6XSd2GUyhQRhJQS4KI8zhw4fpc5/7nJe3D33oQ1RTU6PX+jlz5oycktds+8lPfpK6u3Ovu/5kw1/jWRTZva9ZL0nO5AojRswIC/BonEUtdgRnpQnOEKPX3zz/VXrdnu3Cco682CXeNnrWjBAnyz/TDefRzM5hZpEJOnrW7+PHqT7a7l+fwaw0focOwsh0M3FhRJhXR1+kl830tOfMtLi2GJCOs2/igOjZZOyhLN5+1jberDS6znszLTnqVnBmGF5mZoEy+3l5OUAHW47S3hPm/tTrvfPi/BhBM7UwknCPpD0rDYQRkBkQRgrPIIxkh6zGGJHLOGZHC1UfOaXjLPBwmM2JDrLPwgQKV1o8tMbexu/0qv8nUxixz9VvaliO2GXgFG1hR79lJ5VaaSTmMzwtv5XS/GgfiTOgnq4oVUcPUekbB+LXIsV1cZZJloSR5OecQhgxw544DscRFlb20U9bTuu00xFG0i0/f9mnJYzYeXYZx9M53EpbTCwbHlpTvSsh3ek2CCMpyFVhhOkVzvHs2bO9/N1444305JNPymCtNi+88IK3zQc/+EFqaGjQawqL7z/5LD1fkn6w2UkVRoyT6JtVwzYz1Wj8K/Sx6AFaYsU8uOH+JfS0FRDVv144gwsWS8cs7hwJ5/FXL8tpR+U2HAvhF8p5cztZYvvGGnpMiyfK/o0efvGAdDITHT07fXYGmxMdQWs4jpeHSLNOTxiEkZwkK8KIsGPRZiq2r78wGeDUF9g3XWe/l+o3vxivz/c/TY/J+m/vx3V4oxUjh4W+jaIxYXpWuesW53OVFzzVsd+5U1S5TK+X4uZl3xTZavsIvRx5IUXvFMe5invkZe/YnM5Kla7ZD8IIyAIQRgrPIIxkh4kJI0mGZPi230UPyO2CgoWxZAKFNocza8x2erM+lMbOU2g6bDot3zlYQz/EMp9znjStgMlYHGP+c5f76/JI6uiL6zKOoTTxtJIJIxtTnHNyYeSz8lrZebDzpdNOOpQmzfIT5iv7pOVlYuWE1dVEi+9bo/I3TcNmXAZhJAW5LIwwXV1d9NBDD3l55Gl9n3/+eRodVR2m+O8999zjrechNzy0ptAwcUUyieHADo6rcTFjLAvOUaEZX3OQSLaEEdjMMQgj+Q2EkcIzCCPZISNhxDimXhBPM3OH7cjqoJ089EMGntQOuQ7iGRtopyc4aKWZUUQ6vpGAA61FhrC0AvlSjql2ZCcUfNUE+OTj1DjEGhOk0+RLbC9nIOHtNwfyHKEF0R4rWGggn0nTCpyjFka8srNmmElLGEl63bIgjISeczrCiAnqykOFzAw0Ol9aPPKCr5rZXmR6GZSfl2dd9qnKK1ldrX7dfy28oK9cj1/SwVfNOfGQMFXW/rgjU2cQRlJgCyMPPvggPf3009NqJSUldOKE/8U2JJz9H/3oR/Sbv/mbMp8f+MAH6Atf+IIUcp599ln6rd/6LXr/+99PjzzyCL33XurYGvkGNwR4CE2ms31AGCk8gzDiBsJI4RmEkfwGwkjhGYSR7JCZMBJ39CQ8q8eRU3TOcyj90+SKFn1g6tXm+BSwgvg0pw4HOmlaATMzg4ite6JbEvZNOg0uO9RN1nS9fBw5Fa0jT2zBfNnTsfqmxFXxJ9RQC+2Qp8inLy2f2aIBI/LY2abKknsnvJpKGBHLfMdKNV1vusIIX/Nk56yD6oYII7fbQgrDsWTksCnTEyRw3sHpetMuP97WKvu2wynKK1ldTVwXn56Y0xLndPCkEnAkPPwpPtXvVBuEkRTYwkiu2J133qlzF4d7gXBPkd/93d917vOd73yHLl++rLcuHDKNK2IDYaTwDMKIGwgjhWcQRvIbCCOFZxBGskOmwggMNn2mRZocGqqS6wZhJAUXLlxwCg3TZdzzY/78+Tp3iaxbt45uuukm3z4cmLWtrU1vUVjwFKhs42HGCyOwjA3CiBsII4VnEEbyGwgjhWcQRrIDhBFYbpqJN2IC7pbo4VTpxxWBQRhJyfDwMK1evTpnbMuWLXTp0iWdOzd1dXX0iU98whNG7rvvPr2msNjesJvum/u9jOKK2EAYKTyDMOIGwkjhGYSR/AbCSOEZhJHsAGEElrPGM78cM1P4MkmGU8GcBmEkT9mzZw/deuutUhjhuCSFBscTYSc307giNhBGCs8gjLiBMFJ4BmEkv4EwUngGYSQ7QBiBwfLXIIzkMYcOHaJ7772Xzpw5o5cUBtxDhHuKcI+RiQBhpPAMwogbCCOFZxBG8hsII4VnEEayA4QRGCx/DcJInjM4GO9QVShMJK6IDYSRwjMII24gjBSeQRjJbyCMFJ5BGMkO+SGM8EwhDdM288eMsYo6Wh46Ow8sHw3CSJ5TaMLIROOK2EAYKTyDMOIGwkjhGYSR/AbCSOEZhJHsML3CyBaqHoj5pk0dj6mpVi9Sdd0a5/pwi9ATnZf0dK/XqKNlo2ObGWIJ0+y61utpgl3rp9gSphOGTYpBGAF5QzbiithAGCk8gzDiBsJI4RmEkfwGwkjhGYSR7JAPPUbGLYykEhNmkkEYgTkMwgjIC7iHyL98/ye0qWaHXjJxIIwUnkEYcVN4wkgv1W9+kWbf9feyTtxw/xL6v0t+RDd//hv0WGOfY/v8Mwgj+Q2EkcIzCCPZISNhRDrXYzTY20UdI2MqgZEeqtbDM4yz2zMwrNYNHaUF5RFacPAk9ejNaayfmg9up1kyzUCPkfIqWnG6X/fgIIoNnKRXrKEfRXW7qF5ce8Uo9ZzeQ4/s5WMalKPt3y4xHWlaSPCInaKV+zLLvzrfIeo4ftpbHxs4Siua3nGWT4IlOV8v7a5eb1aW2MBxWlFXqvcX+Yr26HXimlzolXlwCiOBc1Xb8PCjZmoeMKUnyrOrOelwpKK6PXTAuf06Wt4lymykl5oD18ebQaZiB1V764aos3dAnDeEkck2CCMgL3i+pIy+/+Sz+ld2gDBSeAZhxE1hCSMD1BRZTDd//t/o4UiU3hG/99asoDtYIIEwAvIECCOFZxBGskPmwgjvNUTtLdVUVF5NpeeFszvWR9XbSrUzLxz4/laaXx6hxxq20CPRPuEA6+3LSmley1nhzI/SmehW8dsWRtYL5/qqcK7PUql0/vUwF532LeVbqbpfpD5ykpZXrKFZTSdFOmPU37mDPiuPa3qMbKTS3mt6O+G0V9RTIzvzUuRwn48REzLNvzouCxbt9ISXJ8HYJWpsjIhj76LmkTGK9e6n2fZxpSU/Xy8vRgzxpVVCs1t64vky10HgFEbY5LnGe4wUbWulM2NjNHj+gBQviuoOUDunL8/dsb88fszb3pSr2l4LIyLHSgwp0WVhhieZa6LO1RzLCFkJx4JlzSCMgBnP7n3NdPvf/0tW4orYQBgpLGs51kN/Nvtf9NUHNgUljJyL0tMPfIVuXvAGtXrLz1LZgq8XlDCydddBCCN5DISRwrOHF0AYyQbjEUZ8jn7lfuoQDnZcoLBidZTvoMahoDCgnWQpVFjCiEwnEOdDHk+l/RcNR4n7VriGgigRwQgjKs1QB982pzCSfv5/KnurWNsnlI8WDGKnaHnE7K8txfkmlKUvLX2OCdchXWFkLS3ovEw01kOllaaHiBFbLlNjw9r4fvY63/amvHj7jSpv9nq7bOtaqcd3LuZYEEYm2yCMgBkNxxNhUWQyXvb/7798l/a8866zgQHLP+Mv5I/8BI6gCxYdC0UoPPbrCH3u8w/Q7MgJa/kVaq15tqCG0rDTvLq8UtcAkG9AGCk8e+DRhRBGskDmwkhAnNDiATvAfy0dZcvZtRz9IrN92RqaF73oc/Dj+7pxpm2ZXxgxvToYHvbTQdWHd8aHdNhmO+9eOunn3wy98W9vixPhwog6lhv3+VppbXDly+59Ez+OZ75rp9MK9qKRAoarjPX2Tnj7ysTztMpCnUtAcAk9FiybBmEEzFgmI66IzRPLfkGl1b9yNjBg+WdLSjbQi3AEQykUobCjsZj+e4IwYpYXjjDyf55eKXvjgfyEr+33frbSee1h+WfR05cwVDRL5JYwEu4oJ4gWCesCwVfLq2j54Vba0qVjeJihNdZ+QSFj6oWRTM43fWFElWUcmR/ftUshjOxrkufhEeui1864z0OZ4zytsoAwMn0GYQTMWCYjrogNNxzv/ufvOBsZsPyzu7/+HXxNS0LJ+kr6yYpSZ9nlk6keI1+hz/0ySse85YXVY4SHlbETle3hiSB36Lv4nrzG7DC76gAsv2zDjib62vee0FcfTITsDKVRDneCM5/xUJqgsx+3orSH0vjXxdc7nPCAkJFp/tVQGmv7DIQRewiS63yTCiPTNZTGuY4tuTCCoTTTZxBGwIzkrbejkxJXJMisf/kueo0UgHGX8kcRTyEp7Eh9eva/5H+vEWeMkfNUveSRgokxwkEaWQgD+Q3HkMFwmsIwFv7RAyw7jCv46lg/HdhbZQVfVQ52ojNfSvMzDb5qApfytnuPU4+Jw+ELvloSDxbau58ekMfVTrsRM2RAVHb6TVBTf3wM+3xChZEU+VdxQMYpjKQ43+TCiBEWTPDV+Ow2yYWRuBAzvuCrVrmaY8pyjSQXRhKCr5rZbSCMTLZBGAEzDnbQWBRhcWSy4R4E/7MQnMECNv6Sxg4/x6sBydnWsFv2osrvr8yFPSsNO8osCKO3SP5jxE6Or+SqC7D8MO7pB+E/e4yrx8hAL3XKWUX4/+AUs0FnN4Ppeiu20ytm6Avj25add3saXo4f0qqmizUzz4g9e6Lime+bhlYwco7qm6oSe2akFEbYUk3XO15hRFiS800ujPBvO18ppuuVpgUi3nygleaVZTpdb3B7+9qn6DHCv33nGpyuV9UDlS9zPFg2DMIImHFwXJHSV6v0r8ln175m+p+z50gH2tXogM1c495A3J2crzFIj+Wry6jo/5uT585UL9VvfpFm38ViiLD7n6bHFvxbXgsjLHaxA8UzM0EkLBzM+w3iSH6auadZBAPZYTzCSLjznaFZ8Umykh4MBvMZhBEwo2BBhIWRqYZ7p3Djgqe742ksXQ0Q2MwwdgBZ5OJryQFF4QRmDvcc4S/N3OguDIdqkPZGfkI3fP4ntCo66Fg/c43jibBAyF3t+asyHKjCg8URvp85ADVijuSH8XOZ33EcVwTvuOwyrcKIjIvhjhsCg8EmbhBGwIzBxBWZroY7dy1nh/Ch7z4hvyLfKxyJ+T9eAptBxsOi+NpxYxG9RCYG34cch4KHXXCZ8lSQrjKfcfbYD+jP/urv6cOzHqEHfviMWPYMzX30u/Rnf/Nl+vDffZe+tsCxzzTZN4Tj8+D3fkr/+O0naM5/POXcJpmZ+4Fn4JqKoYkgd+H7edkvX5H1gWPM8JAq2MwzFrf+8dsL5YecDVu3Y0jcJDA9woiJkSHQcSfc28FgsIkYhBEwI+BG21TFFUkX/grDMUhgM8fw5WzycJX3zLQO2l1TRt+f+0/SSVT2MP3rf1bR9rc7HdtPv21v2E13/dO/0b/+4Cf0RtMB5zYuQ+8QEIQdaQ7SyU51ZHP6traihhY++wu6++vflX/5t2s72OTaxq075L0NJo+MhBEYDDajDMIImBFMdVwRAACYaWyq2SEFZJ7KHF+KwVTBQgrXO54+H2IbyHcgjMBg+WsQRkDOw4396YgrAgAAMw12TJ/8z2LpqPKzE4DJgnsmsBhy39zvYSgWKBggjMBg+WsQRlLQ19dH/+W//JdpsxtuuIHmzp1L0WhhNjq44cUNfAyBAACA9LGdVv6iD0C2YPGNeyVBfAOFCIQRGCx/DcJICiCMTB/cFZwbXmjUAwDA+ODnJ4sjLJIg9gCYCPxOZkGE4+7w0FYM1wKFCIQRGCx/DcJICqZbGDH2B3/wB3Ty5Emdq8KAG/LcCAMAADAxOECriQMBgQRkAgsgdvwaxBEBhQyEERgsfw3CSApsYeSuu+6iOXPmTIn91//6X33CCNvjjz+uc5X/mLgi+CIFAADZwXZwIZCAVATrCwQRACCMwGD5bBBGUmALIzt2TN1Y2r/+67/2iSJsH/rQh6i6ulpvkb/MnLgi1+lS31l6+9IwjeklAACQ60AgAclgAcTUDw7ki/oBQBwIIzBY/hqEkRTYwkhV1dRNF/u5z33OJ4oY+/3f/32qra3VW+Uf3GDnxljuxxW5StG3NtNfRLbQhr5repnNMDU3rUu86Sp2UFVvlnrBDLTS3LItVDUQ0wuyhDPdGHVHt9Atta00dXLVKHWf3kOP7D0l/psG0infsX46sHc7rega1gsKmNgVOtHdTadHslwfwaQRFEgQz6mwMUFVOYZIekNmxmho4Aw1HjlOJ67rRQDkORBGYLD8NQgjKcgFYeS2226jb3/72/S+973PE0e2bt1KY2P510+Bv06x5TajdCZaQ0VlEVp8YiCkt4gSRm5vsp36IWpvqaaiyv3UkY1LN6XCyHTgKsMpJJ1yiJ2i5ZF1tLzAhZGx4TNUWreWbq97i04kqzZDR2lB+UYq7XWJiRkwlXXUO9a11OJgMqHMS+cCVdWupbnRi3pFGvjSvZj5/mlggrSycTwSFk1AYcA9QswUz+nHEInR5Z4D9HBE1MWWMzSol8ZxfRwopbl7j1N3Ru+/MRo8f4DmlvP+ufBemkbSer4UcPlMERBGYLD8NQgjKcgFYeSv/uqvaHR0lB588EFvGQ+r+dd//de8CsjKjXFulOd6g3zk/H56YF0JfanpJF3WyxJJLYzEBo7TitpSfTNGaEG0Rzcuh6jj2C7dEBRWXk2l51WZxAba6YmKErG8hGbVVtAsV0No5BzVN1VSkb7Ji2oPUPuIOKBsOEXosYYKtS6jdO0eI+yYlert+Bjrafnps9TYGFH7N7arhq883jqaW6sbx1ZvGd+5l1fS8mPnxLmrYxTVVNIcc+7a/OUY2I7Lc8h1zgPU2FBGs1t6xB6mka6d8hAHPbQcnGU6ZDX8WRy5FHrd8ppYH1XteJlurWig3YPJGuXXqKOlgu6pKKPbG45Sv146LqbSCcjkWGkJZeMQNqZQgHvr7ajsPZKZk5z/cM8atnyB37O2GMbnlsm7d7T/CP14Qwl9oeEInXXeGo534MhJWi7u/wWd4W/ORKajt2KOAiE+J4AwAoPlr0EYSUEuCCP8P/Pee+/R3Xff7S1n+8xnPkO7d++W62cyHE+Eu+/mfFyR6120ctOLwsnfRc0sNoTi+lomzIgDY8KZ3LaO5raclWJIrL+V5htHXTrt60Xj56pYw87kRtUolPuspVlNJ8U+WmRJcNjGqL9zBxWZ/I31UGllqXLCpIMn/pfHvCrytz6DdIPCyBotDoyo/GkRwHceruOxiBHjPK3RAsoYDXbtollSsBhWxyjfSlX93JR2iUuMzou3Xdg596nlfMwxledbytaKRvmAtVylKAkth9HwMrUbqmHXTaWep4yIcqqg28pepee6roT0ntLIcqug0tOHaUFkBzUOma210FZfp0UlU2cESUU+cW0unRVpWo6WPIb43XFYXBfrvmOL7KTmmBqe5YlXIUPb3AKZ3WNEpNNZr4XBMKGsW5xXGc2p3SDyX0Kzf1VHX5fp6B4jLVGqamAx0RJFfSKMuef2U1VCulpYkV+QTfmIcmtqow6vfFwiqCvf7qtmhlUU+jAbFgu4NwW/n/JBGOF37ISv6/UeWleTSgx1Pb/tZWH3Ij8P4vcNC6mf0vWV770z6YjqlTX0eE0a4j33Rulto+XeBwrz7NH3XsVWWqDXxe+VIeqI7tDpRuiJzktia07KvhfFMRpa1b1oI+9L+2PBLjogjq+eNanSCjxfovtF2W2gueI8peDf2Rx/doz06GcLH6OeGsU7LJN7HyQHwggMlr8GYSQFuSSMML29vfTQQw9569g+9rGPUVtbm95i5sENT9N9Oze5Sh3H26h54IpyAtcJ5+78iF4Xht0ANF2BrYaPdKKDN+Qa/RWZG2sd4uV7iEpN44adsWAvB58TZSMabp3viP330QLZ4NLpOp2udNO1tvd98dbLK7XIYAsFnE655QCbdLveEn+t43npXbCOwaQQRrztmJBzNufGznj5WppVUUqzW07SgaaI7klikbQcQtL3fcELuW4ysfxkpPtNuocb7lJMSoYWwGQ9uUyNonzmR/t0+SvRSjXUY1oo43JPIkh512aEzkS3ej1QYr37abZd5xj5lXqDFKykcBeJiwS8b/oCmSWMyOvOIttlna81qj756oM+r23CmeP0vTyzMLJGOkXN3vnqeuerc1Y9T0iX75dzSnwzjo88T50PmY5x8iwRNCzfItUwTM8CniWMnenSV6tmQGDs7MDnyefNoshMFkZc13D8PYGMGBqhZ04Nijs7jMTntxIclZAZfi8G7hv7PtB1NrWobj9Tkoj3xM+iMu/5JZ8f9r1uBEV5b6lnj9qGBfBB9XySz5tr6jlkxAb9DEm4t+z7Up5Lic6j2l+dvyoLZ1r2c0Cn5T1HvWfHsH4u8POFe02upSJ+Po7j3gduIIzAYPlrEEZSkGvCCNPT00Nf/epXvfVs8+bN02tnHrkeV2S0ayfdLm6Wz9ZupjmRErpnX5doGqYi2CjUDT/TcAs64RbKuauk5YdbqaqzmzpMozC4j/xtnCiD6qlQVLuTKqLvUGPvWe1EZSCMONO1xQjjmFnCiFzOPwMNtykRRpKcs2z4rqfHml6n2ZFGqu8QDdmaOlpg9zIwhJaDamg607fON/S6qdTyhrHhc9R45BR1j3ZT6eY1dNvm/dSeMvCickBUQ1z38PEECbs+CXz1NA2Rj69ThO8rsS1fJ3uYzshZKq3dqAVJfdzASzAhbkGwHnjHsoQR6azwl1rh5DS1UBWXB5+LXf9DzysYY8TaznfuVj13pntM/GWhzzg31vZh6YTlO03s3gbsZLOYna9DbXhIEZ+nEUVmojDC52B6u/Df8ff6idHl3jba9O57dLWvmf45LTFUPb/995qodzLGSLJ7MXh/BOt1Ou8O+97T+5vnje9eEoyI55lwdKtatuveFIF7XW5k0tO9EGXvM7lCw8+3tYFzEebtr/Hdl5xm/P6V7QyZbpK0gu9XLy2B97tf7p/w3pzgvQ/iQBiBwfLXIIykIBeFEYbFka9//eteQNYbb7xxRgZknRFxRa620ffX6ZvGfL1OicOp1w0T6bjpr0Dely/Zo0Q1+GQDyQgK0rETjRlu1HEsB2+fsCEv6rjKOTTplqjGV1JnKVW61vauRqdpACY03PTXsUyG0niNSftcbALHTHbOZkiLuHa8/pL82ieuY7BXARNaDpz3kPTl+aqvcKHXbWbdkikwzo64/ts30u1l62llt3YwkiHFhviLR5lxcOz6JPDqaRJByleXtejS/BaV+IbV8PU0oohcEBBkQggVyILO0ih1d0U90UZ+4b7uEjCC5xVw/OTXW3GfJJyXVc+zJYzI7Rz5HkcdtZ3ufBNJWACxBRFjM0EY4euSdfFK1j9+bvLQjZfo1o2NtHc4VaVxvAM9kt2LgfsmoV6PUxgx6+x7Sd57YjsWCqIdokF8SN834xFGjPCbBN996T9PvzASklbC+9WkJfB+hwgjkuzc+4UOhBEYLH8NwkgKclUYYXhYzd/+7d962/3BH/wBVVRU6LW5D3995MZb7nfLHqTdb5SJG6aUvt12STTp0sHVKDQigIpDERp81TjVvLy8kpa8Wam7645Z+5SEBEk1jru6wYtq62mJ2F469UmcpdTp2tun2eiUx4uPpy6q3UMH5Fhn+3jqHO1x4vHGqCkvJWrExRHHdmHnzFtLMcQWMoLpxXGXw2iS9LXgw7FLou2h1y1/iNHFjm10G59jWl+NGd2jx1fm9jK/gxBv4CcRpHx1OV5PPMFr7BI1Nm7Uolwc1Y3eDGnT4lfQOQsVyCxnSYolphu7NQxACiO6u3roeemhNPKe7xaOisi7ryeZTtc8B/h4st4G0001lMaUj3W/hOV7AlXUDNPIB5GEz8Wch8tyURjhPNtiCH9omNhQGRd2L4YyWvxusiE0hmTCSLJ7MXDf2PU31VAa752Q5jvKd1+Zez15evZQmvjxh9S95N2LfO+GDaUx96X/POPCiL4vXWnZ+fWlJfB+20NpBtX7icv1avbv/UIFwggMlr8GYSQFuSyMMCdOnKC/+7u/87ZlcWTXrl16be7CjTluQM+Ursljo1epZ3DY2cADIQQbbiA/GD5GP10vXiDraqn2chrXVjozFdZXXg076TIIa5/fEfLqTRJBKli35DFKPPFFOhmBl11mwVddApn9FTksHUso6zwVcl66x4gJvlpeSStO92sHyjhnIk0jrsnjhaSbNPiqKR/bMUzv/MeLLZKYHgvspPN0sLlOMJ6Iy3LlfcWiB4tPUylGDZ99k+4Vdeb2mrfoRFrOdHJhRPZeCA2+at03AWEjPVE9TWHEvt/4/nmzXuSH77H+JOkNWcFXTY9IQdrBV819GSaMiB+haVnPgZbd/megnbYdfNUOvDyJ934hAWEEBstfgzCSglwXRhierYan7jXb//7v/z59+9vfzumArPx1iyPigzwm6LyCPGGMhq4O0IWRlIFFpgz1FdfuYg9yAe7JwMII92JgoYQdeXbgc62XIOeT8xcUQoI2XcKI3SvELksWoaauZ851GhwcoEuj6GIAChsIIzBY/hqEkRTMBGGEGRwcTAjIevPNN1Ntba3eInfgxhw37LixBwAA40d/DU57WA+YLtiB52d/0LlnoWQ6e5Sw2OESQVw2VcKIKSsWlUwvFv6QwMefCb1vAMhnIIzAYPlrEEZSMFOEEYYDsv7zP/+zF5CVjXuPHD16VG8x/Zi4ImjcAQBA4RIUSozzz2IAL5/sXiUszJuhKOnaZAgjXA78PuS0OT/8fmSDEAJAbgJhpICsoo6Wm2FpOWkRWtBUp4f2wbJhEEZSMJOEEcYEZLXFER5mkwvMtLgiAAAApgZ+P9gCgRFL+J3B4okRCR7dVjgAAEjfSURBVLIhmKQTT8RlE3l3mfPjHjIs/rDwwQIIpzuVghAAYGKkL4ysoXlerJwQBo5StRcI2JXGFqoeiLnjZhWM6XIMLaNJMhnzJ0Y9sldqcP1Erosd/Nm1Pl2LT3Qwz7k+180uwxIZVLtHj9SM9XbSzmmq9xBGUjDThBEmGJD1Qx/6UE4EZDWNwfzhOl3qO0tvXxpOI0I/AACATHCJCUYw4b9GUGDBgkWFdISTdOOJuCyZMGJ6frDxdmycPzazP//Pog+v43zwPjOd0at91Np9EcPYQMEw7h4jda3E8xT5He1sOcmwrFtSYWQiBmEk0XLnPoAwkoKZKIwwx48fp3vvvddL48/+7M9o9+7deu3UYxqj+dAQVFyl6Fub6S8iW2hDnyvgo4rI77/hIrTg4EnqTqWiyIj022kFPyQyZSL72uRl4NTgbAcgq8Su0Inubjo9gmC7YPJhAcQWIVhwsIUTNjMkxdgDj/zIWzce+/cf/8yXnt3rxD6WEWv4vcd5ZIEn/4jR5Z4D9HDkZXr47fOOmWdc70Bh6cyGkrX3j5qJ5ZG9YTPjTDJy2vDg7DBgpjMpwohoux08a2YnG6WermZaUFEi1vt7JhTV7aJ66/6JDZykVxxDPdRsUEPU0dWrRcsxGuxt1WnqY44MUI+c7WiM+jt3UFHFdnqly+QhMW3/sUUexb01T85yVErz9h73vvbzuTQf3O7N3DTPzJYmsc8t2br4uST0GCmv0rNRaXzHs82cZy81O/MtLOyczQxRmsSeC9Z1kdty+XbFz0W2xavcs1SN9FEHT8Utz8chCOhjq2OGlVFE7WcQ+6/cx9d8mHoGrOW+qdaFlfNMgCNqSm+zTFr4tUhel/S+oddfWOB6yZnF6nhmMVOG+2mlfS7y3fG6v0dOaBr6GFk0CCMpmKnCCHPhwgV66KGHvHQ+9rGPTek5GFgM4UYjNxLzg1E6E60RD7wILT4xENJbJHGqwthAOz1RsYZmt/CrMQn2wzJTJrKvDYQRkAFjw2eotG4t3V73Fp1wVJnERgUb19OrgWkx0yFL11E2XLIgIk4Ub9pi95MkXWRDYfse+YUreZmmWp8/2L042P75uwt9QkemxqKHnR5boTLa/zZ9u1w0+Hd20AW9zI9rul49PW7lfupIVt2z9v5x5WHqkM896YgMSOdkuvIBssukCCOiZiiH3QQSv6adV1sY0TOvjZyk5eyUVtRTIzvY/A4xjr42r66NnBXv5lIqqjtA7cLpjfW30vzy+DHPRLdSUcVWWrBtO1X3iz309p6QN9ZH1dv491a9no+9RueRBZXXabb830x9bYZE6LTlvS4c6a5dwlE267QQk2yddS5+YaREt6HN1NUReqLzkvgdEACkpShb75xCzjndoTRGRPHEkPWybUNjPVRaKa6TOc/zB0QeSmmemeLbbq/L/3XatjCStIz0vrrHiLnm6hpH6LG97dQZKM+ihqPUb/Kll0lLcpzPJq1LpkxDrn9ZKc2P9sWvV8UuambxRdZZu24Hy8FelywN6xyyZBBGUpALwsj/+B//g5YuXToue/LJJ+m//bf/5qV144030sMPP0zHjh3TR5p8+Ksaf0HLF0bO76cH1pXQl8TD4LJeloirQWa/DMT9z45MrVE8I7Qg2iMeLmo/tYwfFIPyi9dcc/PbX9tGeqjKqPnyBTkY2JdfCIZR6u6s9xTcolr1YOM8xZVf9UCTPVpkw1Q8WBsq1APV+trlzjc7q6U0q7ZCH0O8GE6f1V/LrHRZdT62K34+Xrph+bPhvLbRcu/YpTRXvmC0o8cvd73O29/+YldRQXMrxD4QRrJLrI+qdrxMt1Y00O5BtyOjXm7ZEtqyJIxkS0ScEP5nwkSIN9AKR/gYD9yTwyV6pGO8LxBc76bSzWvEM3U3NQ+H3dNpCCPSkajUjXbxbDZfLOX7R7wbOt9S7ybvvRe49y0BRX140I19/V5Rzx31Trm96QSdDntP8PvH+Z4NeS/Z7xXvPZSIchzEu7Czg0pr1+nGPZjpTE6PEctZ9fUYsB1E9b+qV2Z/t6n7zogrvMwICiwgbEw4pnSYfdsLk/epekf9hVzvEgmUWKOmzDfL9Dmx47qNz9k4yfZ+wmR5hKzzmS2M6P+NeOHc3ljysv1sinMu0u/TdIURuwxU+fMzcL3Ory1GaIErHWEkaRnpfX3CiH0+AYGmbC0t6LwcuFbakhwneV3anPz6m48+Oo92un7xI1gO1jopLoelkX2DMJKCXBBGJsP+1//6X/pIkwsLIiyM5A3Xu2jlphdFw0krlqGEfKkyDblLvVS1bZ3XoFIvusSHpVweiYsH8qElH9z6ISXzob5GyReb/aC1kcvVQ1E9JHXPFf2/VHyl+qq3kfk0DT6t0rKjJV5G7nyfEw3WNbrhqLvp6cap79zkMfTD2jxoOd2w/MnMG/ghXKbVaXFs+SDmRvE15QgakUV+0WAB5LwqL1lGManWzy1fA2Ekq4wIR6eCbit7lZ7ruiLcfDfqxecSRmwnXotr9XXaQbEcjrQErhDnRtbZCl3nuC5vEHWonRp9ImK3OHYZzandIBoF/NLvojNORyldAVCcmVNADKLqdGJd959LUa3pwhziGF46oRsTwiINVPW2KtMzfI+YRoVA3jPldVTaXJ1hmbMzWZY3985444xAGGGGqXUff6k1z/EwbJHfMu9eMu8w/dVbf4mW94Ks1+ZLpH7/VPJ7L0wY4W3W+Z07ub39HtbPmoT3xMXw9+x193tpxGqsq/eQfr8Fkc8efgZY9xWY8Ux6jJFQYcTqbSA/FHVQ9eGd8WEhlqk6f5Gq69Z4y9T9wfdEZcIx1fbBXhfxY/+1XO+4p3VenXD6r5r7ihmijs53qKJJDzHxPow51vnMP5TG9FiQjJyjxmgLLeceHwn7JS9bdU7h52w+NKQrjKhrpNar8rTK2te7wT6fFNc/aRnpfcVzMC6M+K+R75kYOoxGWJLjJK1L+/Ynv/4bEssmbnbdDpZD8vKdTIMwkoLpEkY+85nP+ISMbNvtt9+ujzR55E9ckavUcbyNmgeuKCdwXYV4gIzodWGoh5N6oFiYhtz5NkcXMO20ew/LIaVa+7Zh44Zgv3yYJ6RvP2ht7AZaUwtVHTmlHDj5sHZs7zU4+YlnOa++h7sxzvcxq8Gqt+eGJR/Dlyf1Mq+KHqJS09uF0w3LXxD5EmylqhYzfpHzqIUR6egxpvF8KuB0BhrVYMKMdL9J93gOTDjOF5q8XkFhxIhrMd2lk6/vSFoCV7iIqNdVvi7qXQPNMqKmr17qY29rpTNme2dadh6TCIChAmLAeZLOlnieBJYrZ8t0EU7HMfQ35LwylfmIKMdON46KGtqoLUtlPpMZz8w0hSuMxOhy7zHa2nWJhmSPyTX0QEs3JX8L2u9A8dyXdcjUaYbrXqn1fLbqre/9I/B+Xwip/7q+iudKUe1OqohGxfua34x2HuxnDWPupb7w96z8gJH4XlL3s9imXDg9h1tpixWjwIO7ndeKZ8Ded6jqTdX9+0DvSdoS9m4DM4bpE0b0eo63YNc7M7TGS3PqhRHnO96yojr7vhTPA/muSb1OmV8YUcs4JkYLVYv7ScW20O9J337Jy3ZGCCM6PXcZ6X3FczBMGFFiiBJw/4Gvv2xz+OuKba7j/INMN7kwYufVZ0nrh123g+WQvHwn0yCMpGC6hJHFixfTP/3TP2XVbr755ikTRvIproi5GT9bu5nmREronn1dKRqEjHo4qQeVweo2f5UfkiFfmbyHpRZGpEOk13moh7k/fYH9oE1glLq7ouKlvk92T5ZOoMyHY3tfw9RqUMqHuyvftsMWaIBaeVJfrFVjsqqzmzp8DVVH/uzzlg90cQxuoEY7xMPrkM5jusIIl5loqOaRczcdjA2fo0Zu3I+q7vS3bd5P7df1yhDUPWTqk41dV+w6JPDqIIuAqQQufW8FXnD8clXHNF1Era/cvnvFTjNZWrZjpvNu7k87vVAB0V/31P0Q79GhCKTLpHQM/Q25eJmqc7md76UY3z9ltKCzfxxlnp/3DgdF5aCtLhHEZQUrjMi6LerwqxX0SM3LdMumN6k1xT2f+A7U92D5Vqricf2y7qUnjCihMHn9Z2IDp2iLEd3lcdTwUpUH+75gTN3XwojzPcuEvJc4wOARI9KbMfBx7Aa9EknUF23lUICZzLQLI5Y5nWFvue4pIJeZ4Q/s4PJ70H9MX88Ck468J9Q7JNVQGvc7z2WO8025ziWMWBbqOCcv22wPpbGPH78u4xhKo59F7mtub6//F8/BUGHEezapoKzqWWqnF2bx46igrmF1qTL59TftG51H//o0hZGkaWTfIIykYLqEkcngb//2b6dMGDGR+fOCq230/XX6pjFfm1MSbBSO6Vgea9VDSn7JXau73ot18mua/bDUYwHllynzlc0en60fUjI/3PjTX5Ttrr828qFlHpDWF3DpLOmhNAldmU2D02pQhub7nNVgDTRArQe47yFnGoucDynQOPJnF7VVLuKEVFnIF8xwSIPXDKXhrtrX8vKr99RjXrqifLdvFC+z9bSyW7zMUqBefHEHJo5dVybipOuGTLDOeJivSZYDY9VLpzDiTMveLryeq/tN38+hqHs40VHS6drH98oiU2FEoPNSEt2tRRjh6GWlzPOHdOOOFG6PkQF67fWXdcMx1RAaQ/AdKNA9A31OWOhQGn7f8rCbPnnvKkFCfRBQ/5t3gKmvZrm4g7weWpdlHtTxAveFVfdD37PO99JeOnBMPB+MwKPfifF7RaEcEFNWJq8YUpMPTJswottO8Xg6us46egGY+87M3uEFzJT10nHMVIFIvfWqd0o8vQM0X/YYHaUeHY+nqG4PHRD3NB/rfnnvxdeZ+z3VOr/zbgsjZmibGeqphrD2mDaxb78UZZvqnOW2uj3gS5ctXWFEtJfku1y1l2XwVTODi8yXERn0M6K8ilacVj2BOD0l3oSVkd3eCBNGhHltCVcZKVPPSPdxHkhal0yPYff1n+21uXQbzCtjrrM16QkjSdMI7/0yXoMwkoJ8Ekb+5m/+ZkqEEW48chfl/JmicJB2v1EmbphS+nbbJeE2pYPj4cRxBqzpesNjEBgnjl8Al9ILvmoeFL59bXHEH7Mgno4RbNTDxQsuZzlcIqe+BmV48NU0HEbryxl3Q17yZqV4EfDL/lr4eXqYxiVvIxqYb9aL7fk87S/gjJUXO7gfgq9mgRhd7NhGt8lrkHoIjUG93Ex9srHrSpiTboZ18Is6XOAKFxFFHedup9yV/fwhmh/RDo3dyAocOzytNOt5qIBoCyXs5K0P3KcK1aAwx9f3tDx+mGNoN5xt4YMxzwTT+MmkzPN3KE2QdOKOFK4wMkYD79bTHaIO3bbjMJ3XS5PjEEb4fSO7gGvBIM3gq0W1qqEt95d10X4HqPrvfi+Z43Hdt4eQMXbdD3s/hiz35Vs8B+2pOD38+3KcoNfE+TxRsUGdO5ixTF+PEa5rzXqYg2bkHNU74nKo+044q719+h0t/vemwnUcky2j6XrFveW1HVXb1puu1Xes4Drer03HBEm2zspXsMdIIJ/cNuSg/omxVlKVrfid9JzNO1ggnkn+3goZCCPB6+abrldsb4khsuxOt1PzZXPNk5WRSFeKQrz8ItVGu6xj2nnVbY+kQkL4cZLXJde+gfWBqXbZd6mWZWzX7eC1stclS0PvJ87fHuozEYMwkgIII5nB0xdy45LHb+cTY6NXqWdwWNzuABQ4w8fop+vFC2RdLdWKl3c6qJfbeIURsU9aAleIEyO/cBlnRH31lUNLxmwR8ZT/2GFp+fKYRBjhn6HCpyZpr5JEp0o1SEVjJcQx9MaZ+4KrKpTQYkSgdMu88GZ0ShV3pHCFEeYaXRoYpJCJpwAoGMYtjEyhhfYegBWgqXe/age41ie3nK9Llft17/cw0SczgzCSAggj6cM9RFgU2b2vWS8BAOQfYzR0dYAujKQMMgByAt19lhsP3hedzFBdtzk+SWLvlnwjWdyRwhZGAAAMhBHYjDLZ81PNXulcn8Jyuy7xUKRu6tc9A93bZGYQRlIAYSR9OK7I8yVl+hcAAIDphXuEcPfSdONCGAI9Zrh3yt7j3jDAQoBFEAgjAIAgEEZgM8NML1HV09Q1rXM6Vmh1CcJICiCMpAc3GPMrrggAAIBCJhh3BMIIAGAmCCMwGGx8BmEkBRBGUpOvcUUAAAAUNnbcEQgjAAAIIzBY/hqEkRRAGEkO9xC5b+73aHvDbr0EAAAAyB9M3BEIIwAACCMwWP4ahJEUpBRGRt+mZ+71j0O+4YFl9NLB83rqpXBiPc207LF19OtsTnUSO0/7ipfRsoNX9II4kyGMcGORrbBQ4+8f2cvj7iaOnL1i+x453RcAeYM9wwkAeUDfxff0f2B6MLMoXQhMSZ0Bcoar7bRCT/Hon41qgvDMUJW1ajpwkLdAGIHFLUILmuqyFvgTNv0GYSQF6Qkj36RnPCHiGp3dtZLu/PwP6MVjatrGMEYPltD/c29JdoWRhPzEybYwwr1EuLdI4cUVUUGIVECiiSOnMtXzoAOQN0AYAQBklSwIGYFptbMHz/5UQbNbelJ+FAMzm2kVRnRbUU2B71g/6abvHXkfudbnitn5XEPz+JkxzjyHBx/VxxBtnXm+5bCZbBBGUpC5MMJcpPon59Hd6zrFCzJGl4/tomce/ZruUfI1enBdO122e5pIceQytb9RSg9+US/74k/oxY7L4kbuofqf/bt/X3mMa3S2ZV18+weeo03HeujXq76pt00UR7IpjPC4az5OvscVUdNU6rmxy6up9PyQ74V0e9MJOh3dQkU1lTSHIz5X1tDjNVbDzeccDlFHdIdWliP0ROclitkP6kgDVb1tfwWzGoGcTvkGmltTKrbdSKW9Q/5ZIyp2UJVYBsBkEetvpfmRHdQ4pKYmkXPi8zRwA+IZ1VRJRfqeKKo9QO0jYhuv7l8LfN21nZvA7CdePRbLO+u9rzBemgCAKca+FyP0WEOFuB/VvSx7O9byO0mtWxDtoUHR5pH3e8VWWqDXxe/fkPs94f02QB2i3eRtp9+98WeH1WPE5eyw83j1nOO5NGQ5N+zUdMefRbInidm+lOY2tVGH9xzT583rvLwEGDpKC8o579fMgsT3vcx/Gc2p3SDS4mkme2jULsPySlp+7JwoQ3fbA8/F3ADCyEwTRlzr0zcII4VlEEZSMD5h5DqdrVlMNzy6g85qkeTOVYekoBE7tonu/vxi2tRz3d9jZKCJfvDFR0U6/eLHMLWv+4Hc/xRv88XnqF441mrfH8ieKLHuHTTnXi2e0DXqqnmKPva1TeIlOfk9Rgonroh6EBY1HKV++TVoI91SuZ86xuweI7oRWL5Vd58NfNHynENx/diRlNNmDlJ/5w4qKldOZrzHiE4rTBgRjbX50T5xRFGPpJMabyydiW6lIpk3uSMAk8BlamxYr6d/M19Hu+k9rstynnxR+cZ6qLRSOBVenU0ujITW4+vcmNFTzck01+BLLADTgLxHy/V0zyNnqZSdeL6Xx/qoats6mttyVjnycjsWBob1O1Hf1zy8pEI9E0Lv90v+95sSGcwU0/rdK58fDmGEtzfIY22Iv2NdzyXpKGmHxkvvnDpGRT01Doj3uExHP3P0u1ed51Xx7l+feFyBfI9b72D3+16UWe0aKtrWSmd4O/1sm9XYLspzjAa7dtEsKQxddrc98FzMCTITRkpoVsN+avR9uBqSwh9Pn6rakeJ3V6+8jxgpONYFBUdG1JELvdQj6o5bGCmleUbQk5uz2FelBL2K7VTaqUQ3hUirt42W83Fk+5N/d7n39ZkRHE5T6RvN1Mz3i3U+cpvyKlpxut+rl7GBk/RKQySQjrZM8zXSQ9U6rcSy421baYEUFG1hJNhjRJTT3uOyHNVu/dR8cLsnOLJgW+1dryHq7B0Q5xIURswzRGPSFufzSlc65673HzlHO73tR6mns4mW29fbO5/x1qO1+hnB7be18ePL59GIerZY+UoUgexyXE1Fdbuo3sqD//xSlOsMMQgjKZi4MCIYPEH1NTto07pldKfszeEQRrjaHttHm2q20YtP6h4iYv8uFkC4V8gXF9AzW3ZQlYxdEqP+Xc/Rx2Ratol0u96adGGkcOKK6IabuFGKandSRTSqXwIOYcTh9Ek853BUNY602m+TvjBiep6MqbQCN/Mt3noAJgNd77iBHuNGeYX+Oipexp3viMbiPv0CXxOos2HCSF94Pb7UK5wubhjyl9sWqjpySjgOcmcAwJRh3fPy/tO/+V6W4kXw3uV7PyhapHG/i3ZL/P3GsEPQIZ4ph6jUNLpleiYthzAiRZuNumcGE/Jccgojx8TfUktksN7Fvndv8B1tCC7X5ZTwvrfe6YxM2+5lYtafd7c9pBiF5+J0k5EwIh3QGA2eP6CEA6/3j3JUVTtS1CAjhmgxTwlrqldRTNTl9pZqKrJ6K7mEESW4iXtHCmxGWLQ+aPA9IgUX4cBKoS9QTz0xRO8rxTfda8kzc++I48hzMmmZ9rIlospj6d5Sou5Wy7prp6VFvlT5Cp6/TsuUndm/qE71oFIire3Q28JICc1qOimOodNkwaGxXTjzJv/6fgykadr9/vzrY4j7WPYYKd9K1fyB1JxPIL/OfcUZ9MheYOZ6cV3g3mJrdD61MDqReiSf37pM9fGl6Oq4vsmFEVM2LByL/YyQLN8Fqco1foxcNwgjKZjwUJpYJ734tTn04KqttKlmH7Uf20YPOoQR2RtEix+bdnVQuy2sxM7Tr+uMsPI1mlNzit5jYYR7iPheugJnfhTZEkZ272suqLgisYFTtMU00GTPkMHcEEa8xioAU4R8AW6gJU3iRSfrn3ppq8b7O9TYe9ZRZ1MII6H1eJS6u6KeY+N9ZQUATBHBd43+zfdywtARQ9h7LMn97nu/iRS4Mc/DSg63UlVnN3V46Zm0AsKIFAxsUSTJc2lGCCNqfWLbg10fPBenm4kOpbGdT/W/dn7letsR3ULVot4pkUTvr++fRGFEiwyiDlXXrbGWh5ium/H2pzikdZxEB9mYzp/PqdZ1mJ8J1fF2gbePTN/vmIdainyp81dpfTah7IyQxGLBRqscbWFE5dWXpjknzr+4n3qcaaYWRnw9vMw2Vn79555Yjgl1wS4L377K0q9HQaFL1RV/GSSmmZiOro9SePLvZ+pAaLkmbJ+7BmEkBZkLI5epveY5uvOLT9GmbvGgkOvn0A928YvuMh1Z9xP6mB4OI4URPUzG/p8G2+lFjknytVdp3xvP0cdMWrEu2vR/5kjBZVT2JPl3+uEu9RCQ6XpDaczx/GQ7+Gr+o5RY0/CIdxW2u7kGG0T2PkY5VY0q9cDgB9Sg1WX2mnroSTX4unp4ygbQNakMzy0Pfn0X9UOg8mLGLevj6BcmAJOHqt/BxoK6F9QXpLnlep1XZ7Uo6KjXofX4Kr9ITdd6q8s96jcAU4q6R62vwLWl6n0nxYi18WEg8r7md5oeSuO9E+POfuj9LofSxN9v8XeiuOHNMeX97xBGxi5RY+NGb0iPIslzSTbw406kSi/VUJpUwojOs/WMcr/vz/mFEemouIbSvOdue5w+jOdiDpC5MBKhBS2HqFrsV+0NG7Ed2hBHdINLUFDOaaKzbDuw9nJjPBRjn8pDtMMbmiLTcTjgifkypo+jxQC1TN9P4tgr9/F+bhLzzJYqXzHq4XvObK+fC7z+r2Ue/UKQuuc535VWeVjCiCxTeYhEvPybdo4+Zh2LJanLQpVZYN8MrldCmSdcl3HWIx4CY4s2sgwTh9GwJU/H9OhhxPOqt4OqD+9UPVh0Xp1Y5zgTDMJICtITRgJDWnzT9RoxhNd9jR5csZIe/KIWLgYP0TMP/CPdwIJI9xElhvB2X1xA/3fFAvoYL7/UQ/uKxf9y/3+kO5/cQe2DnLIr+Cq/6Pvp16seFcsSxREII5njDi5nGjD8sGmjNl9DyTTCePtSmvtmvfjfNKqGrGBsZsyywHRL44dVf5dqBHLatfW0pLZMNaICwoioeAi+CqYB00hTop6/vps6W6pewnadNc5NsF6H1mPUbwByA3EvegE/19HcWtFg1u879/sxKB7YvSBC7uvg+816XnBA0iVvVloxOvzCyGmXsxVppMaekOeSiRMinblT8bzJYQRhwVdTCyPqq6h5LsoFjve9v0cI4ytDX/BVV9niuZgLZDaURg+v4HgLR9j530c/bTktrmQaDm3WhJG4mNbTFRV5OESlbxyIO91ZF0Zc+7ksnXxNjjCSWH7K1HnnoDAykXrE6etyY8H2H7iMHMNo2FKmw8vKq2Rvvi0mNgr7MNW7kpbrTDIIIylIKYzMIMYrjHR3d9Phw4dpbAyfJQAAAICCRPbOiGjnA/jhr7GYrrcQyEQYiTvqxtH097ZM7ojqoQv28IRK1UMo0QGN94JKGEpjiQnePnY64xFGXENpWCCQ6bqGjjgszXwlnr8SS1Qe7eEjpmy5DLi3linHxKE0ocM7pAjiSjNJWWhhRF1re19hoeWRKDgklLl1XT47oXrEv40INUw9A8P+MrUsMR1dXlY+3dvXJC/XGWQQRlJQ6MLI+fPnafbs2fThD3+YvvKVr1BHR4deAwAAAIB8xt9zgXtf7KEDPNwEJMJfTitrdSwQkK9kLoyYAJs8bKRVDxdJx6E1zq8edmbN9uITE8yx5NAr06PZDHsQjvrBvaq3gJkCuiI+64otQNhpJubLmM6fd07WcaQgYOJZKBGVHXI1U0lAMGAzvRhS5MsLCusFM1WijMqjfkbZwVel02+Xoyv4qsm/KLc69UxT+2khQAdQNeuSBl81YoDp1aH3TSv4qiU4JJR5gjAy3nqkjylFGrFLULyxTQs53BNYBtY1s8xwOq8GrleZCazL1+OlFOXqOFaOGoSRFBS6MPL888/T+973Pm+/733vezQ8zA9FAAAAAAAACofMYoyYYVCakXPUeOSUcDZVLwIVQDSZQyv2P3hSOac8dDWT6Xq94Vy2I62Xd7apmY7YqX91HMLISC81m2FcPLzDN92tf8rahPWepZev2EAvdept7OlhVR6FI97bp8tX/N/VrGehssvRFkb4uHaZMvZ+Yr0v/2HT9er8y5lXeDvdUyfT6Xot4SKZMHL7hOsRmxZ9QobRKLPEEAHnf0vXgE6Hr5eZolkj8lHfZKZ1TlGuM8QgjKSgkIUR7i3y0Y9+1Nvn4x//OHqMAAAAAACAgiTz4KuwcZmjJ4tt4eINzG1quNVM68Ex1QZhJAWFLIxEIhFv+xtuuIFKSkooFjM6KAAAAAAAAIUDhJEpMggj2bWKXdQ8MhAIDgsLGoSRFBSyMHL33Xd72z/66KN05YqZkhgAAALErtCJ7m46PQLxFAAAQH4CYWSKDMJIlswE5jWxQ1zbwIxBGElBoQojb731Fn3kIx+R2/7hH/4hHTlyRK8BAAA/Y8NnqLRuLd1e9xadcOgipmHjn83CBABbo6evTJzKMj3Gu99ESTJ1JwCFije97YWQ+zKd+1VNS/vIXnZ8Jnafxfpb6ZHtHJRSLwBggkAYgcHy1yCMpKAQhZHdu3dTUVGRDLrKcUW2bdum1wAAQIBYH1XteJlurWig3YPu3iLeFx8dhV7iBQAzwshMA8IIAAl4wkhYz7F0hBH1FVh9EZ4oV0VaFXqqSgAmDoQRGCx/DcJICiZfGDlLmx79Gt25aAk9+MW/pxs+/zV6cF07caenbJOOMHLq1Cn65Cc/Kbf54Ac/SG+88YZeAwAAQUaovaWCbit7lZ7rukJhH2WlMFJeRrM2lekunaQCgMllpdpJshwmb6o/flGJ9XI6QLGPN02cWG6mwrP3k05ZhB5rqFBR0r1t7H1LaFZ9Hc0tDzhvY31UtS3i5U8JNxtoedcgDfa20XJvylKTH1sYCTh7tnMopxqs1FHbrSj8IecIQO4wSmeiW+l2r6cX9/KqUNMyytkITL1eTUW1aqpMZ48Ru65XVNDcCnPPD1HHsV3iXlRpmPvV7jp/e9MJOu3dZ6onidm+qHYX1cuZMfj+K9X3Na/z30/yWSOnodQLAJgAEEZgsPw1CCMpmBph5Kv0sUcr6cjgdbp8sJTu/Pxi2tRzXa/PHqmEkWvXrtGiRYu8bf7yL/9SrwEAgERGut+ke9jZl/PXhyMdncjrVPrrjXo4jRpGU9TQRCWeoBAXF5SQoufMlxHUeZq5y/Irsr2/mnM/KIwYp4i/FK9XDpUUPdbqfA5Re0u1cOiCX7XVtHfGCYw7U5epsaHMO0eVH973WhrCyIhyLI3TqPMxu6WHRpzneE3tD0CuwNNmRnRPLykWVoh6OiLvlSIZzM8s12JHgjByXt4DatuYHOM+t1z3EuO0y9fT8q6r4kD6npb3k91jJC5AnpH3SYSe6Lwklur723sGrNHijDhG1y6aZd/f8ji4v0B2gDACg+WvQRhJwdQII3PowZqz6mfPDnpwmoSRLVu20I033uhtU1xcrNcAAIBibFjNn9892k2lm9fQbZv3U3uKx5USRnbSgXPCsWEx4KrYt5J7j5yyBIW4uMBxAebzl9/ySlp+uJW2dPULR0h9veYv1EW1O6kiGtXz6QeFEeMQW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alt="alt text" /></p>
<p>Ce rapport présente ainsi les résultats de plusieurs itérations de ce processus, selon les différentes étapes présentées ci-dessus. Nous discuterons en conclusion de ce rapport des pistes de travail pour améliorer nos résultats lors de futures itérations.</p>
</div>
</div>
<div id="chargement-des-donnees-et-de-lenvironnement-de-travail" class="section level1">
<h1>1. Chargement des données et de l’environnement de travail</h1>
<p>Tout d’abord, nous importons les librairies R que nous allons utiliser par la suite:</p>
<pre class="r"><code>lib<-c("DMwR","e1071", "nnet", "randomForest", "adabag")
sapply(lib, require, character.only = TRUE, quietly=T)</code></pre>
<p>Ensuite, nous importons les bases de données (fournies en format CSV) en format <code>data.frame</code>, en prenant soin de spécifier les types attendus pour chaque colonne, et les tags des valeurs manquantes.</p>
<pre class="r"><code>totalclasses<-c("character","Date","character","Date","factor","numeric",rep("factor",10))
df_train<-read.csv("./Kaggle-Data/train_users_2.csv",
stringsAsFactors=TRUE,na.strings=c("","-unknown-"),
colClasses = totalclasses)
df_test<-read.csv("./Kaggle-Data/test_users.csv",
stringsAsFactors=TRUE,na.strings=c("","-unknown-"),
colClasses = head(totalclasses,-1))
#session<-read.csv(unzip("./Kaggle-Data/sessions.csv.zip"))</code></pre>
</div>
<div id="exploration-et-comprehension-des-donnees" class="section level1">
<h1>2. Exploration et compréhension des données</h1>
<p>Nous avons plusieurs bases de données: le <em>training set</em> <code>df_train</code> et le <em>test set</em> <code>df_test</code>contenant les mêmes informations, sauf la variable à prédire (le pays de destination), et la base <code>session</code> contenant le log de navigation web des utilisateurs du training et test set. Les training et test sets sont séparées par date. Dans le test test, on va prédire pour tous les nouveaux utilisateurs dont les premières activités sont après 01/07/2014. Pas souci de limitation du temps de calcul, nous n’avons pas utilisé la base <code>session</code>, qui est beaucoup plus volumineuse (600MB contre 30MB). Cependant la logique serait la même, cela reviendrait à ajouter des features supplémentaires.</p>
<p>Intéressons nous à la structure du <em>training set</em>. Nous avons 16 colonnes :</p>
<ul>
<li>Identifiant utilisateur,</li>
<li>Plusieurs dates : création du compte, activation du compte, première réservation,</li>
<li>Données démographiques : genre, âge</li>
<li>Données de web-tracking de création du compte : méthode de signup, langue, canal d’affiliation, fournisseur affilié, application utilisée, type de device, type de navigateur Internet</li>
<li>Pays de destination (la variable à prédire)</li>
</ul>
<p>Voici de manière simplifiée les distributions des valeurs dans le training set :</p>
<pre class="r"><code>summary(df_train)</code></pre>
<pre><code>## id date_account_created timestamp_first_active
## Length:213451 Min. :2010-01-01 Length:213451
## Class :character 1st Qu.:2012-12-26 Class :character
## Mode :character Median :2013-09-11 Mode :character
## Mean :2013-06-25
## 3rd Qu.:2014-03-06
## Max. :2014-06-30
##
## date_first_booking gender age signup_method
## Min. :2010-01-02 FEMALE:63041 Min. : 1.00 basic :152897
## 1st Qu.:2012-12-02 MALE :54440 1st Qu.: 28.00 facebook: 60008
## Median :2013-09-11 OTHER : 282 Median : 34.00 google : 546
## Mean :2013-07-04 NA's :95688 Mean : 49.67
## 3rd Qu.:2014-04-04 3rd Qu.: 43.00
## Max. :2015-06-29 Max. :2014.00
## NA's :124543 NA's :87990
## signup_flow language affiliate_channel
## 0 :164739 en :206314 direct :137727
## 25 : 14659 zh : 1632 sem-brand : 26045
## 12 : 9329 fr : 1172 sem-non-brand: 18844
## 3 : 8822 es : 915 other : 8961
## 2 : 6881 ko : 747 seo : 8663
## 24 : 4328 de : 732 api : 8167
## (Other): 4693 (Other): 1939 (Other) : 5044
## affiliate_provider first_affiliate_tracked signup_app
## direct :137426 untracked :109232 Android: 5454
## google : 51693 linked : 46287 iOS : 19019
## other : 12549 omg : 43982 Moweb : 6261
## craigslist: 3471 tracked-other: 6156 Web :182717
## bing : 2328 product : 1556
## facebook : 2273 (Other) : 173
## (Other) : 3711 NA's : 6065
## first_device_type first_browser country_destination
## Mac Desktop :89600 Chrome :63845 NDF :124543
## Windows Desktop:72716 Safari :45169 US : 62376
## iPhone :20759 Firefox :33655 other : 10094
## iPad :14339 IE :21068 FR : 5023
## Other/Unknown :10667 Mobile Safari:19274 IT : 2835
## Android Phone : 2803 (Other) : 3174 GB : 2324
## (Other) : 2567 NA's :27266 (Other): 6256</code></pre>
<p>Notons qu’il y a 12 modalités possibles pour le pays de destination : USA, France, Canada, Grande Bretagne, Espagne, Italie, Portugal, Pays-Bas, Allemagne, Australie, other pour “autres pays” et NDF pour “Pas de destination trouvé”. On remarque que pour les données de web-tracking, il existe de nombreuses modalités avec de faibles fréquences.</p>
</div>
<div id="preparation-des-donnees" class="section level1">
<h1>3. Préparation des données</h1>
<p>Tout d’abord, nous transformons les données de date en variables utilisables par un modèle d’apprentissage: le mois et jour de la semaine correspondant à la création du compte, le mois et jour de la semaine correspondant à l’activation du compte, et le nombre d’heures entre la création du compte et la première activité.</p>
<pre class="r"><code>date_preparation<-function(x){
x[,"month_account_created"]<-as.factor(months(x[,"date_account_created"]))
x[,"weekday_account_created"]<-as.factor(weekdays(x[,"date_account_created"]))
x[,"day_account_created"]<-as.factor(format(x[,"date_account_created"],"%d"))
x[,"timestamp_first_active"]<-as.Date(as.POSIXct(x[,"timestamp_first_active"],
format="%Y%m%d%H%M%S"))
x[,"month_first_active"]<-as.factor(months(x[,"timestamp_first_active"]))
x[,"weekday_first_active"]<-as.factor(weekdays(x[,"timestamp_first_active"]))
x[,"day_first_active"]<-as.factor(format(x[,"timestamp_first_active"],"%d"))
x[,"diff_account_active"]<-numeric(difftime(x[,"timestamp_first_active"],
x[,"date_account_created"],units="hours"))
return(x)}
df_train<-date_preparation(df_train)
df_test<-date_preparation(df_test)</code></pre>
<p>De plus, nous allons simplifier les modalités à faible fréquence en une seule modalité, afin de simplifier le problème au niveau computationnel. Notamment, le modèle <code>randomForest</code> ne peut prendre de facteurs avec plus de 32 modalités. Cela implique de faire une harmonisation des modalités possibles entre le training et test set. Nous choisissons le paramètre de 1/1000 pour filter les modalités de fréquence trop faible.</p>
<pre class="r"><code>get_rare_classes<-function(df,tx){
rare_classes<-list()
for(r in colnames(df)) {
if(class(df[,r])=="factor"){
rare_classes[[r]]<-names(which(summary(df[,r])<tx*sum(!is.na(df[,r]))))}}
return(rare_classes)}
rare_classes<-get_rare_classes(df_train,0.001)
simplify_classes<-function(df,rares_classes){
for(r in names(rare_classes)){
if(length(rare_classes[[r]])>1){
otherclass<-paste(rare_classes[[r]],collapse="+")
levels(df[,r]) <- c(levels(df[,r]), otherclass)
df[df[,r] %in% rare_classes[[r]], r]<- otherclass
df[,r]<-droplevels(df[,r])}}
return(df)}
df_train<-simplify_classes(df_train,rare_classes)
df_test<-simplify_classes(df_test,rare_classes)
harmonize_levels<-function(train,test){
for(r in colnames(test)) {
if(class(test[,r])=="factor"){
test[,r] <- factor(test[,r], levels=levels(train[,r]))}}
return(test)}
df_test<-harmonize_levels(df_train,df_test)</code></pre>
<p>Enfin, nous allons éliminer les valeurs extrêmes pour l’âge, en considérant que les utilisateurs ne peuvent pas avoir moins de 18 ans ou plus de 100 ans. Dans ce cas, nous imputons l’âge médian.</p>
<pre class="r"><code>extreme_age <- !(df_train[,"age"] > 17 & df_train[,"age"] < 100) & !is.na(df_train[,"age"])
df_train[extreme_age,"age"] <- NA</code></pre>
<p>Finalement, afin d’éviter de perdre l’information des individus avec des valeur manquantes, nous allons imputer sur l’ensemble du training et test set, en utilisant les k-Nearest Neighbors sur les colonnes des prédicteurs. On choisit k=10, ce qui induit un certain temps de calcul (plus de 24 heures pour le training set) mais permet d’avoir des résultats robustes.</p>
<pre class="r"><code>Predictors<-c("gender","age","signup_method","signup_flow","language",
"affiliate_channel","affiliate_provider","first_affiliate_tracked",
"signup_app","first_device_type","first_browser",
"month_account_created","weekday_account_created","month_first_active",
"weekday_first_active","diff_account_active")
df_test_imputed<-knnImputation(df_test[,Predictors], k=10, meth="median")
df_train_imputed<-cbind(knnImputation(df_train[,Predictors], k=10, meth="median"),
country_destination=df_train[,"country_destination"])</code></pre>
</div>
<div id="creation-des-modeles-dapprentissage" class="section level1">
<h1>4. Création des modèles d’apprentissage</h1>
<p>Dans le cadre de nos itérations, nous avons testé de nombreux modèles avec une combinaison de paramètres. Nous reportons ici les 5 meilleurs par rapport à la performance mesurée par Kaggle sur le test set (voir section suivante). Il s’agit des classifieurs suivants :</p>
<ul>
<li>Naive Bayes</li>
<li>Logit Multinomial</li>
<li>Random Forest sans poids (300 arbres)</li>
<li>Random Forest avec poids inverse des fréquences des modalités (300 arbres)</li>
<li>Réseau de neurones (1 couche cachée avec 50 neurones)</li>
</ul>
<p>L’ajout de poids au modèle Random Forest a pour but de pallier au problème de déséquilibre des classes. En effet, les analyses de distribution de la section 2 ont montré qu’une large majorité des classes à prédire dans le training set sont “US” ou “NDF”. Cela entraîne de mauvaises performances de classification pour les autres “petites” classes.</p>
<p>A noter que le temps de calcul de chaque modèle peut aller jusqu’à plusieurs heures. Nous avons du modifier les valeurs par défaut de plusieurs modèles pour adapter le nombre maximal de poids et d’itérations. D’autres modèles ont été abandonnés à cause de temps de calcul trop longs, notamment pour le Boosting.</p>
<pre class="r"><code>fit_naivebayes_imputed<-naiveBayes(formula_predictors,data=df_train_imputed)
fit_multinomlogit_imputed<-multinom(formula_predictors,data=df_train_imputed,
MaxNWts = 2000, maxit=1000,na.action=na.omit)
fit_randomforest_imputed<-randomForest(formula_predictors,data=df_train_imputed,
na.action = na.omit, importance=TRUE,
do.trace=1,keep.forest=TRUE,ntree=300)
class_weights<-1/(table(df_train[,"country_destination"])
/sum(table(df_train[,"country_destination"])))
fit_randomforest_weighted<-randomForest(formula_predictors,data=df_train,
na.action = na.omit, importance=TRUE,
do.trace=1,keep.forest=TRUE,
ntree=500,classwt=class_weights)
fit_nnet_imputed<-nnet(formula_predictors,data=df_train_imputed,
size=50, MaxNWts = 6000, maxit=1000, na.action=na.omit)</code></pre>
<p>Une fois que les classifieurs ont appris du training set, nous les appliquons à notre test set. Compte tenu de la métrique d’évaluation, nous allons extraire le Top 5 des prédictions par ordre décroissant de probabilité.</p>
<pre class="r"><code>get_top5<-function(df,x){
paste(colnames(df)[sort(x,decreasing = T,index.return=T)$ix[1:5]],collapse=' ')}
predicted_naivebayes_imputed<-predict(fit_naivebayes_imputed,df_test_imputed,"raw")
predicted_top5_naivebayes_imputed<-strsplit(apply(
predicted_naivebayes_imputed,MARGIN=1,
function(x) get_top5(predicted_naivebayes_imputed,x)),split=" ")
predicted_multinomlogit_imputed<-predict(fit_multinomlogit_imputed,df_test_imputed,"probs")
predicted_top5_multinomlogit_imputed<-strsplit(apply(
predicted_multinomlogit_imputed,MARGIN=1,
function(x) get_top5(predicted_multinomlogit_imputed,x)),split=" ")
predicted_randomforest_imputed<-predict(fit_randomforest_imputed,df_test_imputed,"prob")
predicted_top5_randomforest_imputed<-strsplit(apply(
predicted_randomforest_imputed,MARGIN=1,
function(x) get_top5(predicted_randomforest_imputed,x)),split=" ")
predicted_randomforest_weighted<-predict(fit_randomforest_weighted,df_test_imputed,"prob")
predicted_top5_randomforest_weighted<-strsplit(apply(
predicted_randomforest_weighted,MARGIN=1,
function(x) get_top5(predicted_randomforest_weighted,x)),split=" ")
predicted_nnet_imputed<-predict(fit_nnet_imputed,df_test_imputed,"raw")
predicted_top5_nnet_imputed<-strsplit(apply(
predicted_multinomlogit_imputed,MARGIN=1,
function(x) get_top5(predicted_nnet_imputed,x)),split=" ")</code></pre>
<div id="evaluation" class="section level2">
<h2>5. Evaluation</h2>
<p>Pour cette compétition Kaggle, Airbnb a choisi d’utiliser une métrique d’évaluation particulière, le <span class="math inline">\(NDCG_k\)</span> (Normalized Discounted Cumulative Gain) sur le Top 5 des modalités prédites par ordre de probabilité. Cette métrique est définie de la manière suivante :</p>
<p><span class="math display">\[ DCG_k=\sum_{i=1}^k\frac{2^{rel_i}-1}{\log_2{\left(i+1\right)}} \]</span> <span class="math display">\[ NDCG_k=\frac{DCG_k}{IDCG_k} \]</span></p>
<p>où <span class="math inline">\(rel_i\)</span> est la pertinence du résultat à la position <span class="math inline">\(i\)</span>, c’est-à-dire 1 si le bon pays est prédit, et 0 sinon. <span class="math inline">\(IDCG_k\)</span> est le maximum du <span class="math inline">\(DCG_k\)</span>, ce qui permet de normaliser entre 0 et 1. Ci-dessous une implémentation simple de cette métrique à fin de cross-validation:</p>
<pre class="r"><code>dcg_at_k <- function (r, k=5) {
r <- as.vector(r)[1:k]
sum(( 2^r - 1 )/ log2( 2:(length(r)+1)) )}
ndcg_at_k <- function(r, k=5) {
r <- as.vector(r)[1:k]
if (sum(r) <= 0) return (0)
dcg_max = dcg_at_k(sort(r, decreasing=TRUE)[1:k], k)
return ( dcg_at_k(r, k) / dcg_max )}
ndcg_score <- function(predicted_top5, truth) {
predicted_top5 <- matrix(unlist(predicted_top5),ncol=5,byrow=T)
truth <- as.vector(truth)
stopifnot(length(truth) == nrow(predicted_top5))
score <- apply(cbind(truth, predicted_top5), 1, function(x) ifelse(x == x[1], 1, 0))[-1,]
if (ncol(predicted_top5) == 1) score <-rbind(score, score) #for 1d matrices
as.vector(apply(score, 2, ndcg_at_k) )}</code></pre>
<p>Nous présenterons ici les résultats du <span class="math inline">\(NDCG_k\)</span> donnés par Kaggle sur le test set, en passant par le chargement de fichiers CSV spécialement préparés:</p>
<pre class="r"><code>write.csv(data.frame(id=df_test[rep(1:nrow(df_test),each=5),"id"],
country=unlist(predicted_top5_naivebayes_imputed)),quote=F,row.names = F,
file="submission_naivebayes_imputed.csv")
write.csv(data.frame(id=df_test[rep(1:nrow(df_test),each=5),"id"],
country=unlist(predicted_top5_multinomlogit_imputed)),quote=F,row.names = F,
file="submission_multinomlogit_imputed.csv")
write.csv(data.frame(id=df_test[rep(1:nrow(df_test),each=5),"id"],
country=unlist(predicted_top5_randomforest_imputed)),quote=F,row.names = F,
file="submission_rf_imputed.csv")
write.csv(data.frame(id=df_test[rep(1:nrow(df_test),each=5),"id"],
country=unlist(predicted_top5_randomforest_weighted_imputed)),
quote=F,row.names = F, file="submission_rf_imputed.csv")
write.csv(data.frame(id=df_test[rep(1:nrow(df_test),each=5),"id"],
country=unlist(predicted_top5_nnet_imputed)),quote=F,row.names = F,
file="submission_nnet_imputed.csv")</code></pre>
<p>Les résultats sont reportés dans le graphique ci-dessus, par ordre décroissant de performance:</p>
<pre class="r"><code>results<-sort(c("Naive Bayes"=0.83874,"Logit Multinomial"=0.85337,"Random Forest"=0.82701,
"Random Forest avec poids"=0.69293,"Réseau de neurones"=0.83352),decreasing=T)
plotresults<-barplot(results,ylim=c(0.66,0.88),
xpd=F,cex.names=0.63,cex.axis=0.63)
grid(ny=NULL,nx=1,col="darkgrey")
text(x=plotresults,y=results,labels=results, pos=3,cex=0.8)</code></pre>
<p><img src="data:image/png;base64,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" title alt width="768" /></p>
<p>On voit que le modèle le plus performant est le Logit Multinomial. On constate également que la performance de la Random Forest avec poids est très décevante. Il s’agit d’une fausse piste de solution pour le déséquilibre des classes.</p>
<p>Cela nous place à la 566ème place de la compétition sur 860, sachant que la performance de la première équipe est de 0.88184 (classement au 10 janvier 2016). Les écarts entre équipes sont donc très faibles.</p>
</div>
</div>
<div id="conclusion-pour-aller-plus-loin" class="section level1">
<h1>Conclusion : pour aller plus loin</h1>
<p>Sachant que la compétition est ouverte jusqu’au 11 février, de nombreuses pistes s’offrent à nous pour améliorer les résultats de nos prédictions :</p>
<ul>
<li><p>Utiliser les données de navigation web de la base <code>session</code>, qui nous pas été intégrées jusqu’ici</p></li>
<li><p>Faire de la cross-validation sur le training set pour optimiser les paramètres des modèles. Pour l’instant cela a été fait manuellement par rapport aux résultats du test set, ce qui n’est pas optimal (le scoring est limité par Kaggle à 5 par jour)</p></li>
<li><p>Pallier aux problème de déséquilibre des classes en sur-échantillonant les petites classes (ou inversement en sous-échantillonant les grandes classes)</p></li>
<li><p>Implémenter de nouveaux modèles plus puissants comme le Boosting, Bagging et les Deep Neural Networks</p></li>
<li><p>Aggréger l’ensemble des classifieurs (blending)</p></li>
</ul>
</div>
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