{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/jjokah/repos/minimal/venv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] } ], "source": [ "from fastai.vision.all import *\n", "import gradio as gr" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "learn = load_learner('model.pkl')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/jpeg": 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znak3DiIvAjGZ+9O5a2sqOINlWa2JOwmDz7wwZp1MpHTwfgWZGYvlJjzwBSEE37gADgJLLOxcbmNj07bt+XyeLephEBgLbl3QN0YSnpA3MsQ/vy3nL2PAKZY0QxOgTESCLhbts+zIyVYxRxNj7mkFG4GbqVrrVxvGhq6PM2vrlWw9H4XznZVs7SsvrW1t5hsVmG+BjrezokTMLM5Z7Ee6q7tPe52DLhaoqS7WC3pxNVHyIRJIXWDmIE5UsWGWHCFMnDIQN8bc5TcROfwqfMN7uWs+ypOJHOLel08g36T/y0Oqiwzoihpndf1Lr7xSu7Br7x91u23D0G7furnVKKn+xLYL5XpNSWJougijs/ZovVZuLvLRaJjNhBlb8zMZP1FDVDoXT1SLeRVGTozfO5/EgYEtjeZMgIK4GmblopSzVirllVxx4UbYZkoYA3MCG8bgRQsDMw2lxkU31tZ6Zy1nOkPJ2Wpm4WmZMFpgIk2C7z3+nxYepzIXSpDgXZuLaRiFVglpx51YaELTMBFrxfLOyorYQDw8PAzNGCYMSRm48zFggHislLDpDJNx5EEAXFW8IWy1xWmr3RuMTDuH+p15/qOjk4eP3Uoh+0blpaZmLYIkxnQzVDxBJVPRMnbiT7OKl1IHCyJSAm+xyMvUF97isql2AIMRg48Rm2u+kglCJbYUJAiOAQwY141GpVa+rgS6cjITD7xqYlY385uruFGBp1kKCgvrLDJMeEWYMog1DJthsP+99zun3SF+qq5UCmW7UEIqAZ6hhrQIfawmkfAFzvVCMxP8IUYi7hvJNObeDAHu2FtR5RNbzI7szrFsYhShA2FYvmSHCEt7wcTyHUZubWvd0bP90WQ+HG2Xyi/feun2a7daw85+p8XlLDM/9tt2pGwUSo5pDEYTVcfrUe14sa6Z3cSbAnTjEqE6VT1v2V4MWKRjm1u+DJOGFcQwY/vEBAkw4mLwlMD3vel87szdCONJATInxgAho2Re1mz8svV8eWXL6nfaOSuv+L4WJEXLCqd+sWAwI5hPeHvQIda00NBcJYF5MkyibBarQs9YEze8hIC3iyAlIegH5hUoFcMlwkUoybAsRTRGoPAQTi4GGpIBscB8yjBT42TY6Z8ctRzXF2RcSUbT0WzuZFS94Vd2ht4uQgDi6eFCi8PEsjavmbXt+f6DcHIg1iBa34hjxdGtkgy7HosFKI4edjcOKmSCrj6il+/UiSMKEeWReFgeMfhxIadPw8RESxpqtoB9oDfQQwGjzaPA90BJWpxVXEPJ8TSx6gajn32y/5N3XdeZZDRbN5WkkNFXFSO/WDiqbhmLLMhLFCUL2471rJpfMcobmp6Lzt4LxiOgLWI7BpIr0RW0IYOU4CYwLpoWpVzFLEdbmbrnMRrwEFCgaoLRZw3oHWiLvue/88Gng6P2dqmymslNO4Mn7dNPBm09nLh7k86TR3bgrpbs9XJuogdjNVR1s6wVC6pWMoxx4E6deO5Hkc5U9HJZLMH8YDwu6LaWUdwIG9vlbjJMaN2YzL0jvb1wg3A0YvhxRCYecKlayBe0fDaAxoZWVc2Te0+K+UI21kuNUiFvVc0rQNedZ8/yigbfzNB+wnYLhGUtU/TwzZwZVI80HZAhgqiKeufj+wAlmPGprJUXETLpxvw6f5d+XL5HUMuWSm6RiPDKyfFpNJusINRSLYCrAIKH9CjlzDzE9qeEhqBsOAMpyJtAn+CfzR0lU1qEvUXSU/XQYJZrvp6BeUBWUSFZJQYdQUBj3/GdgVgLJmMLCy6K0PW5Qp57gCMwSdJ/MS2RN8xDPkJdTfPmoTfjJ80M9byq2AWYSg3j4Kj7wfd/enrYCgBodS2bqDaS1fUVuDTJCsV5NIPwlxIHk3jB1Kqhl3Td1rMl+BUFkEGeESML4B4RNmLlM51AO6cOc4F90QCmmmFahJrtcbp8fVEoB7MolzU7/elP3/rw3pMj5mWf0MawezoZRWVzapqzaRQOA2XmVu0SMkAHQM7HWTs/HM1CL1lbX3WnfWDnlc0VoAMvFjGPuB6O2kQzVlZKURJr2CeiEhJQRt/EX1TGga/PJzmGvMQQ6GaY5EtFpFOYJGur9YdPnxx0unnbVvO5Zr3BI/IwhXJlPj0t5ssVYm39UUA0jbmMF2xkfKTfgn1zYBqEQULX1xCPfOAZYSAYgg2KLN8856GUWeRlqc3Y9/w9QkLTkeWYGQAJOBNh2co060Xb0BCTpVwpY9hQYq2AOnFEB8913QWLmi6O99DfqrGur11TvWOv91bkTUyt4i9yzFQ1nisLF7XIYQsj4NaILCARCC/w3mAqBgT88BhgoOW9YhGIdEQYCQOFocITu+G0PZx1T/E59EK2uLZmNdYzRkXxzcmjs87eaYRfyrBoig1MgnEGq0WoxiJIOs4RSkdVQlgR80kJHMWfK4GhDOfafIHDoiN7GAzRUcJDuPtieaiKaWZhiwhlhVTFzMWW0AuekRnHdqs1HRwNSkr85PFBe69lqxb32PMmvcPZ2vbm1772JbNQvvts7613382vFjZ3djNWcT6ePHn0JHC7DKY3i9Yu7S7C/KjTax+eNldXAKIazYrjjCvFkq7FeduadCc3N670u8NyteR4XrFoz2fznGkA4yCFPW5YN4b+/OnR4a//1rcvXrnshH6Qs+/dv0/w15lNxkmUK9qrtQo49Gg2a+bzaAI/jF1ivEyRLAa65hIzFvXDHeGt6mgBIiCoU9S3mcEiS4XKkntSLvmFF1gn1WnnX3NX6CvgK71QyBFt9oeTqpm9eGE1T2AvCAt2Gd70icWYzGUUELtmxP4gZjgbCbRolHRzhYEPcytJMFGVXHH3K3J746NgfLTQ5sD0qhogZg1Th0BaSAg1oxbsxSgQw1X8IBgInw2Rw6Yju+TfJFlE4cKHBZVqrUKAn4fnsrMpVmop23GP7j51Jx6RnhnGFNNKBPnCDx0bzotMjsZW0y3EdxIHbkYzldl00dtzWtNkeFwoLjL1fOLgcXJKJDEzFhcGrhHghfv0J643d4dOcHA6GLtxezhXzPyDo+EHH9+Lh92VJPQCNW+UECGzBK5U1i+sf/sv//bFzZ1xZ1j70qvlFWt/73geBGurjUeHrWmgYgbUa1Wl6D+4f4/YO5KRgcwYmeF0fPHizmises7owuamMx2NAv+se0L8fNDrY4I5PsE1A6AbaxiQF9JFidh1m9sXVnd3JnGE+OvP54VmM4iCOfDUdKr5M5gpnvmZJJm53mAIwOTMkEBiuQKNERJaLJCUxFIM9cqVK83GyrA3ODw6HsymyG2RQCkFhAq8l39+5SZ2ETskwM2QDy3DK74ccdxmIbdaqxpo+kUMGhe45DrEimcYLixqKeAUQK5RmC9fN8srC6WE/RCoxdL6i3pFj7tTtQiuoymBu5iPUAVK5CgLX4GEBiCtYeAvYUh73rzfxxapAH6k8jIVjdyxRraInhDG0tQ8sHmUswpKpiC+tyQI2JGWJygUTsfT/gzJO84oEw0bDu9iEZrKXPGzUaABphs5pVDSSmXN1OaDluq5Gcyh/aedDx6roZu9um2WiwuP8AMBUIJ0gk/hA4tdj0WWJM+ePLz38NksWMxCNdCs48548+KNlc1dPVeMxM0xmLJEHzBIpt4s0I2NK1eqq2swdDLxv/blV86GD2dlU1HzTLlgNitqmcvrm3ocONMwIFsERJ5JE8XtgyOcr3v3HjZXGkFs9kaBAuBsF2+8dJtQ19PHx7qFMlLzaiHEZReXDAvGiNyomCtsX7zY7g/cMDg8PMSfKRTLs/lskdMGoyGi5aDdcbTxqobecxcz4TxnQUBeJ4iL3aX42PCBUbDWGtVSqUQ0bfPF9Ua98faHd7CuoBjsZaKY4DZIK8I8dVExD/kyNUc1ZjeSm8ESb0P47DONJ4M5x0pxPA23cjwqEqrTzJHjeE5ghWbeIfjk57NGqQrYl1+oZoxbqQYhAlCpaWpVtYexf8j3c6+PipDUlgghYytJTg0LippTIoxij2sGUYjyvpY1K/Wir1lMR+A9CKnpxUgrKBxGdFkHdhxhgKnlRuKgTypmY4vbDp/0mzu7h72RUZpYBO+cMNFMp2hmwKazoDuKWSgsKuuBWcOS12tFbd5TokHGdfSzo95wtLa9iuGMH7EIPHcea0yQOfkOmGlICh2bs1ypooBI2LBKK4GS/eTxXq68ZuQKqxsbHYyG0XA8cyM/M4gSWCIqaGsb25pqkF/1ZO+w/rHynddv3bp4af+o12/NLthG1SpYuECobGQkIXmAJ92YaaQVuYz/ZDDv9mdWobB32If2mE0XidXPHbHqQyVfLBbNnB9pG2vrb7z62ng47I+GJBdwuYNnh/jeuUxOk+iHur221el2J+NJdzTJ49oBtHpO3gcYRA65Rt7CVe7P8B0tGBGN0WiuhLra7fexBX3HI9h/+cql/nRyrsJ+hdBBLuFXyESDTih8iMXGZ/hM/JxUWCUg8Ppi4WHx4p1YmpkjBGojL8RlcJA002LF1nQfXMGajEHlNW20UFxdyeKOK0Ew77b7R2OjUM8UCvnq6qx3ZC9MCyMDsaujaAxC+0kAJmSTlUJkTsaCjAtMMEGNxTzCJUOxSCZAzCMnUZ5Ak4kOCvScajVJ9lGUILPWrF/aJkXK7uVsUgZwvYxs0qjqlYqYwwhJ4CrDTJQsZ7S1EvCB0kOFjY3xbOE48DyIexpgIn3Hw4qwFiAhWYwv7smL/Bj7d9UKFd2qNGyzUBzOyQvxF1G+TLgkN2t3JmEYYFVp6KKMReIN8ecwOjo8u/vg3uq2UWmsXlxb90ZO3BpeKdvmMMjJ7E/GccxEKQpCYAzCCJHA5UYYcYoyR+NYBSgyjfx//e4PEKjljXwQxptXd0lKUF37G7/7ndVqs33SWr2wfXh00O10JuPx1tbW+voaMXk/CsfzabmQDxoNX8VliVBe4oETI+XWchmcgBGsTzAA0NK0iWp3RkM9b+PMj0eTom1nbeu43RrMZ8JA/+YNDuK0DLH8g2cjIkmug20swA3Uw+HOVwqFlbKZjXNRPmPkPJd4CV52YW2lnsllEpvA1TT03bjT1dePxDMlJUrLw3bEcmetQWLWSxvNwvolbGIkkNaPF25H9caKmWgktIDrxEY0dojgbF+4VN+9SKaHpF0ID4MPeXrsaonNrl6SNe1CrrQGcyULC9WEDyVGEpxOBKBg6c1KgaCPXQziZNRqPRh1X1caAgYq2OzkP8zQMRyJFaXMx/HB4fy4PR/MXaJUsWclESSXZEs/VDHxFpFRLM78eP/45PFJ6+NPH6DerEKlubpVXVn7/k/fz1dqpWqjN5iUikVcjIPxfKai1UXhLub+/Gzg12p/9md/srmxtbl76f79u/Gjg3KxWsyoThzs1qu4pqdhNHFmmpkpWsChSgBclnrRMJM7m0PBIsIHwZElPAPfx5MJVm/y4OnDJFTeeOVLWxd3Z8OJbmf7vc7Ena5trq2ureQtq16pAAriRXlBxrKxRvDM1ZPTlhN62Mv+Ii4VbV9XnLnjoktwEchPLeYxP0+7nbLRKOULk37P9119bsCCU9f7tzOQsBbSR0KjIoaWf3xOgSGJzuOSRFZWy5XRUpgHeQLSXncSZULChKVqSdziSpYAuD4wkuFw0XqkhhVCc6plClbVPTMIPr+8bqyt4TijPqzmZcVWlb2519oLknGoFTVHcbujE4T7bHjxG1dwktFzQmeiWSHEnaBKcDas4ppuN7kP/G8xcsPIjOYC18RcO47IME0Co5xvmPl2f94ejYeDLgme19yrqmnL2ZyhKqJUNxB0HN7u+6dH/dPeYBzMsZKAoyALqQpgPGFIBi5+imS6jcc//ujeJyfsiNGJ/TIyHrcx/gfDUbnqxHundq64mtFW7Wxkm13gMj9EPmZcpbd/fKffdt25ZyTPOv3+0M9VCtZC29vfLy3itUopGpI9pjqJ5vgxSaeMewQHk0xsJkSVDTv30ssvcKaAxAcJFW4yDU70bhAvpjN3Og8ynj86aRF+mPaHBwcHgeJfWWskYTwdDv1IQLvA88kjmbjzmTvPGuZqY/W0dTRP4jxAUc5Gf1Wq1Rebqx5RjMnUNXSkbKaQG82nfoBBhBECGuXiMGux5Gb82zeROcxJmIU3vBUhhFZMIWveJVFggFUizkuGYpPjpBkeNh/oJZkGCDAgUHKeMkZkRZOZMjwi0Rm4LcmieCJt5Gcw7c2+YvQxsnygXySLXhh1vftvPxn2515sk2PhTfuxGV+6vGMy3VJZyL1EC9SiE3jTzGQcKbOM1TRra4peJxSNPaQYnpk3cetVjJduf9huY34ymxInbB2d7nU7nj+NnRkQDhYbAJQ/7anusR1HKFlsOqXnquMBmVNjJ+FpwHXFdWcAsKJddKXSHzpPW+PD8aznRKdz9cQzIknwyOJAABUBjS7sMjR3F9pht6eYilnNG2To5itv3n7larl88MlHDz66/8JXbt1rn1gHRZRurb7RH/XOeoMLje3xbDbtj/vT2SxeDGAgLcBQnwZ+kBDEVLJZ9ZtvfvnFF69rcbD/+OHhYd/OVMnP3m2s1NY3Zn44YVSiRWfUBW85HpyFWtxcW5m6U4CGJXKVyWZdeMd354FHrD8HiKplZuVyf9J3SYFwZ7Vi+Vvf+EY20fYfPMF174z6oxA2zYazCcOvQHHTYjgQ5Kh2CWXA04h93hDYSt/g8UcYqThlgOQBMAwWAjoD15XjYAmxi3BoJWwEQAIm4gHiGflssaSA3iy8bGTakmMsKCXhvAwpP74nUPIYVNqJzGCBi40dwA1PZslgqFWOMuYIQ08srhmeSn84GjE/7ZwO/GOrLjBXo170vEk+zqiJbTj4PykPW2aMez0jyuUgG3A9YEDRtvxObtBioriz8LjXOxt0J8HZOD5rO4djtzeYGYk3ITQ4cfEawEwQZslsCussnEDFjhzGQceNcW9J37IXCT7aIseU8cLo8Unng7uPzsZuex4e9iftmdvDIzMJiIB+4tYzL2DIRa8/xGDFWg38ZC/FUS5u7Vy/emOr1uwd7D96dpgY5mweWpr13p0Pv/VbvwGiOex74SL3dDDvhTohiCG4Emk9itZhzgOR4Xromp3Va43Syy9eW1lpHO6RAUEaKPrcLDTK+F+VWi3ExXe90bDz6NGDre1N3J08+RGlEm6Ug75Q0Vy+F5DXmsA+YIykcSGTBuM+3lWlmod1c5b1m7/+G9/51rf/7E/+5O6T+yuray+9/NIHn96Fn7UwASfG2vVi2AOcJsHzh4HEuRJnngskklAmoAizjCFhUBg2ktzSgI/YPRHcIikcMBDsDA2BekhVMrY3lM2aUirAQLlRnM/uyT1OpyQhkJWJ1x9Gc12YA7szVCz8LQ2wXplLSUeAT5HvKGZHw/rAIvExMMa2tVipVNdWN7E5/NEgyRhlclsEMhV5BkAkriDZy/mcpA9r1nwysypjM7fKjcmdO+708SN1dBpNRnc+ftZzYkcrHPZmj/dO272pRJ0Vw5kro6kn2ekYOYBorX7OJ3KhY7DFg6B9NHJG80WEG2T4MJYXDYaDTx89fu/+g48fn2Xr9e6cOWEWqmU7q0y9OfCJ74Y4EBKoJbAWhhN/zEgyOQPCDbjxk/nH7733Vn9AOsG3fuvbuEeT+aRRbSZZY+vCLo6plS2XG5vPnuznMAVBYLMGFyWa1gsWEzFDAwJ0eMvM5FKpDE793ocP5wygYrdG0wu1RrlUDiQYxSwPbl67VMqdICuazUbJtG0ytIDaVM1FRDCN9YznBYhvEsIImR12DoPEJU/wwtpWvblaKZa/8eWvbu5cqDfqdiX/wmu3DKuA9v3k7t1Qwa+PuTpiZebMAcHJx/0FFSZstNQSqAmMZnSVAHUS62U0cAdIbZA9xAoiNBUvJlq4spEzXtwiy4kfFc9Vi6pZMYHPiZVyDj1CrmDMB/hJiu+oHp46kkkgX6Yn30STiTK2JJwgPg3fLxLHWakUdy5cLmxsKa6XnJ75SO+sRcBORJQvxQZARJwE5FrVCBobkeMt3KmycPDNUpUbOr3+yYcfnx0dfrDXGmMlW7XBPOqe9JKAB/fRf+LMGgwFMck6pqQz7YTIm0jXZ7E/dgZMxtAH14JyzHtqkN763p92RqMXLl9VNaO2teMqxlF3/NGDxy5hfscpib1Tnc3dubgzAKASeiUUD5IVxv5kMnNjHwfatjMIkvtH+/sH+xQ/feWrX/nKK98mtR4se2t71+lPAFHwqwt4olQvQW6sOAA9YEQiNabGDfLgJ9QNdfuHx8cXL16tNep3H97rnh2vNWvkEJraoloqFHN26eoV0EWcbX88Y3CwEFAV4mFFoTOD9mG8wCTDs1WrlZIfY+gF1B3ks/nNlfVnj5+cnbbufnKXyFO73c1X4kazWSgWGThCHDiU0B5MVThkmY8toubzDVWWWjuiCWAh4uJESlOrJya8gIwyUT5kyGCkA4iQ3e3jxWDDk3jieerEjedT4kncK2YpxSXCN4g2qA5LMbhZbGBoT6gL9ebxPRYa8UANnADDFGE1dyHrxspaYWVF+IwrE1fM2IrUomGPMJTC4uRfMUu5PAEHLRxWKg3NOVGOHSVbFP01mVed7iJ2hzOqZYYnYw8kZaHaec6Ss2KPGUlWZ2Fld0XN5hTPHJ35Tx62KkaWLIhMoDh4QJRIgaIRMQXMi2aqEX/rN77BM+F2Hh71VotWaGR6Z8fbDbuv2Ll8eTKh2GKK1qGgBmoho+VYMiliX8vqxZVaGvfQxrO5HgWzk4MwCUed0YXx8GXLGk/HoeONvOGN27evXb3+B/+v/3o+p5gra5QLHqY39FBjpjrRk+2Ll4bT0Xd/+BaoTLFSxQoh4o4UbjRLD+990GyuFgrFutRCQTEFOZ24RHL9WGpAAB7ArQwcfiyFWQdz2M3nC2gdnPl6c8ubO92znjef7j15HPr+SnOV4ibu4fTkpPXJp8Bd+Bxkn6J1ABJRFPVmA5e+0+39ggQSPhIOYpN38lHwZ5iN2xfthtXEZ74hPK8yX7MgOkPPe3C8yEHghTr1naft3v5ZjqT4ZmI36tw0TOAnBEPjDIgOJpVoTNSRTCw3VFAcEnISUFD4SsEip5KJAHuSwQpR3Rh0NFcqENhWYwuzmCwfAW8IPYSh6yQZFyAj0LOOMmj7gzYIHM5o1k9IoK5lzJ3VrZUh+LRnm0U7w0kMdz5152YR5DmvYAEd7Z8US41pL5z0fSOnWahIH5Q/8A34Cuc5Jl1RPH1iozkAOtJjgoJNCo3barUApS9urVu+1RpMyfIrZ82z/oBhDTA2MMXI2hIATwNGQXaK5GP4zMxsNotcp1otX7l5g7n83p0PSFrA6c9kTMI2AHfXXrl99+NPcHlyeZvQRwCMSAp9PvviS9defeP2T976kYF5VQJurLbbvbP9vWqJzET9YNgD7r/0lTejIJ5OZiRMRExpZDpqlISPMCSAmSEdLWJoQss2cgG6zcjZeVwELnL8bJ88oVwu3221EU8nhydYVNMJg+Vw3y4YpuRrxJ7vMX1JMbpcuwKKgHySUMbSgpbHE+Z5zkDIKFQYlobQVhjJQ5sgMPBTyaIn2RYTXM1qgT16NP7U/zAinMCdYk8MZ/OuX8sVZqFpBGak26R+z/RCTN6fYhuxDVFgSgMcUcv7Vt2JcrqXSUsZhKsIkOAauKBAAcY2AH/sGKjtkjAXNaIkE2Zy2PiwG1OL5BEjrKLZggkJLIB9KmV12cSoaLluO/A61HJau9duRSet2IuLWfIQc3PcV82387pd1PZOT9+7c2+9uv3itWvNxgVLS8A2mLgAlVaNUjsjwLe3gHgw9FDH+mzqLMzc5oXLvkqUQpuR9DVxW73xWX8CoEoFl+gsIplSLIcrSBIA6JESDBxiTRhDSOKVevPmtesraIQcuF9AUGn/8OTyhQtE56BlomcePXlM9tbq5UtYu47rFiIipuWrV66MRsOtSztuGDfWt1vt1uP9I4gdIBKRChn17OwMzVIul8kknnkzrpWzcjOsdKY4CR2mISAE/hAaEPmvk6GZxVGC3EOU3+EhTIaTB8vjkzbKlfFwTBXrgydPsDKRWErRxoRBFyBT8SXJtzcts90GhnAxkomp46CZiAewhnO5Q70Zvn5MNIpIN8IGtYvgz1F5NSJQkkZ/QOzyxUImX13fuE5JczQnaVfF7UFK6qQkbtcCXe9bOVfiO6YoW7OKJI+wqIlcznWEO94c/pTauDAItUHX1/IZIDymOvrFHVESFdnFDHa2O/PUCGngChDFz2RiDCTGh1OKOhZETxEIWDA+iafD81nhwrm/92gyb0/zpVJmFQfLdSeOVgWWA0Mxy9VdnkzNEOOcnbX3ND/frAxtwGjy55EcoBtxyFd2rcSQ6RmK+tR2q0+By8hVD54c/vTOp8Qjr96+vTAr4WwsqKZGKoEy6A8r9YZmZfGQKQpwEWMAPTLfZFTw0Qx2law4UVABhTKq6kzmZL9MCaMfnpZLJdyBk2535PkI4Wqj0cyanu9vrW4RdadY6+nxCeUYcy/UsnmOGPdHuELlfMGP5qPBsFJbyRXKB0en5WIZFerBEIZUtrAnogJTVixXTSsXbJzC6XS63z4Dm8YMAH9j7lGAhrRMXOLC5K16DimeZDFlyYa27Xw+IG5qZvw5nhFGmkZ6GzY7b/DEf5UKE7Ul6ktgHnSXptpZhL9eqTdJWDo4ODw5PSUn98o1ioNJTK+JR0ctDg4SsDF3mdHcAKQt4BCLRDLsgoBgIidNCHXjXctcgFU5MzKPqQojZRakXAXkLeMvMP2RbegobRZLeSGp4aJBhJPFlERAcvTy/tBkAKmYZRhEqA2KKqjVxM9Xwok3CvXELpBZPT/pzCZQC8QxOhv2ysV8tVCU1GqKMXAwSvVcoQhr0hWAgCylCxa5ZWhPQbAkNYlAAjYfJhz28Q9+8u5bd+72Zwm80A/uVzZW3SgZjOeSf5u12ZFcXp6RcaVSSmx0zHviLNRCUccD+pUoRHVHg/HhsyNqAjdWVrF3sUjufnr/9osv4ZF8fPfj09ZJqVzxxqP54T6eMFYw2CBZOwQXZ9NZq9cdTyeMg+jBOCHwdUKuqRbsbm02VrcxTyFoAEISxdwtwQCmvpYxPearqmJ+ZXM2jQzQOdQJYSq5Q4LcSQnWIZlFsjUw2cieEq+c0aZEKzEzSBdsQFQo50D2MAEgHTsg5MD4+fsFBsL4SnVYuh+UkkRpYty4N1OiLuHJWfuk3WmTcETNfrRorKzqtgUkXrClHQOMQeqRZpPDi5HPPQPaxAVy1jD6ORfiPUBGkIwm52VCgAjwMSsZPeT8YmSTQSaNDJgW1JWSWmOWsjA+18KWF8OLF45CwIgNBX/i6kj+6vkdo2xRuZwbjrQyE5l+Uamcn5/h0IDJg8FlYE5PB7XCIGesyfhnjpVK9bIJYCklAJpBbg+Xx8DjFsEf0qqeSgGDtfGDH733yUfk7WuFfA6XejD2TkZ7RH6ZM1JPiU9MOSxhJeYKVjwxNcNo4gxXa2Tzzebzk1bLwJHEp6YC08hEvnNwdHL7xdv3Ht4j4ebSZZ9rYB2S05nNFQfjCbc8dahDXXQ63U0SmywbArtAYRACVYI9o+uD6Zx0bqtcbm5czlUbmMkgdaQR2qV8BJqoKMgSpreMNzxtkvFGaEDDC+NhLd1M3IAMnDxlZxrYeuiQjol9FJLHlpBoTIWiCPpIzelSaU9wQ3xxigAN5CPWlAoy5BGNl2f9uU2mt0z1dJozxfEkEyJZcUzhzng+17N2oVqb+8HUC91OXy2Cry7WLLuBTYblJsBzQooioy8WJImBogPRPJL/AfmJA0jaM2kYuPYYYODVZD7RnIFKOHJy4qR/cjbo9AjF2KUKwiFftjkZ94M9JrFEzsV7bh+RwkwXURlIao6UQwlaBedxlUzB6OVOx9E0URgdnlET740qzCI1BYpaIGBfMtUsHhJpNkoGOxOHCV8FFBFDgFxsyAfPyigAjjeKOVDUFnEGO092jMSzyA4I4rHrFGoVi5A+VRMhmWjcgdwYfyGNMMKwUa2+cO363PPvfPQhzgRqaC5kVR0gJHVBmCw29IxduHJzq1pfyeVL2xd2h6MpcrS5svb46TPGCWkASx4cH+EciFSwbdogIKcR62Dj2D25rN0ZePeftH770kvrK43jo/1hvzuaTikprFaK3NAQaFE383be6Q8h4O6FHe5i3B8XqPul1wfzHbcMgS8+vsxqACESuKhC9DI60wPZQRwP0wovjBFnghDNYCObEG6DZr/MQCKjJNrFTOaWyZtZRFiIJD30qYadTqg+RSSgeShChVbwCe5JOV+sFiroBJgAJufJEYI4rqgin4uC/HBtBCMqkKy2lIGwmciRgRTMIcJbkt6X4pP0BmidnOAVr19Qqs0mEkmS3nhQTih/iCBuD1sJ60d4BqyECSY8hI2ODIMysD7zKVa7U6c1nBoB2QF+iseQ2kIMCNwIhB2BF7sOlCCoaGYLoAs8I4IS2UkapNBOHAhEVEYL50R2gZnGcDIzlKJqZBvCgIlIDgGpQyRkzX0H/xY7BttsLEk24u52253v//AHPECr04aD0ZKp1Bd4DcOjvr42dmYw7Fm3Q5Dc8iwAeGJPBPCJkdICASE4xagXP0dkpkwdnhczgJkpRpyKcRNhqCfa/cfPDOvHX3r9VQzFXKlM6NoByTw+JcVjMpsXyzW4h1xY9hwMJkDR7bOuXm+CSZAszhkpqQSjhWjoXUJsmJ5ETLAjoC+nx6tHIGH3VIoFH/TI9ZYIVyCZWwKEk+XHLfLIaAdSNaAnZBLuQVkw6/FxyP0NyeqP/dOzE6hT4o4qOckykPyJEPWIIzp3p7PFgoptOC4lMVlzZLPqvo6/iBgyPJKgULewOV4N8xvTX2gOU1gh5iZxXV0szT5RAIw7Stc6JMC462trDB2jWSqXYXjGHdrKn4C1kEZ6+NCCA5eF/Dose07M5BhTFzweC7NCH3Ph+LMiSTaUpGBkO76izwwri53QGR5SFyIZ9QZD4xCNNzF6AY5hR03h6rSw0CwVbx9Lpb6+8f6P7vmW1QtcgqMzLSCKbJgMIy7LHI2KjZDL02UoO51PUBy47YzQdDCa4+FQP0VKPtPaC2hXgFAnq+b0+HQ2xX7CJcz40ZXxXH2w97A3Haiz8f4J4EIRNwFPfGGDZsYUQ+QkeklDBZ+CJwma8HSkvCA/comtWw/3H+6f7r3x2huz6SifMR9+eveFa5fzOWtCOv5CXKeMlTdy+SFPRcZhoj7aO1x4YSUrTiZAM5SDHei3kClVGXwphcUm8QPRlCACUZTN4j4zv9Bs2EUW0odnnAdzAWn4Syfu8hUSpbJbQESxSyX6hTNCtWyjsXv5IgSuVWs7OzuE2LCmISmaBcKnQgtZojFYroMLEmQlfQkvEu2AICQNETdb6j8krIZC4yKwgTAFmHpGbCQpcNAR0aVKWYac+ttezycEoyzWN9bzOSSuwAc4OLB8ykMyNWO8Bcp9gsA2dfrcIJC6nd7R4TPgGFoI5Aulw9YZLGGKljRylE1QLoPVz/0wg/NmOakIfk7drlhSYtVzvwKXMmvQEigmvGtKfKzc9ksv5J+e7T0ZZIsmuF9mgb+lBqP+KzjF1C9WCjNlMek6E7ReSIVAQkIUMxxRQnrt0pxiXgpWRiwxIYXBJsuXKU+EmCpRJjpXxfJlfLiuBDPQyqTK5G0Sy+kElKcqHaJSByBgNFNDCIlOEb+OWiYEvWmM5pPv/uSHtObwZvNyPrcbE43vrdZXmXAO7txsRh4KWAzmrEaKajQBsMAUgT0B5hCiY6QrTAO+iymQ0aczwUVJekZhIhfy+TxsNBlPGTnqWCAWItaX0j+RBr+8CQ8JhSn2QUaCZxg6jjt8g08Oh+IpiAyRPiOqbZF2w75QFjaTVHuALEAIgE5sS1tiQzKlUW1S2IBTJc5TamdK/RRZfmHrrI1GIGPFBtTN50mcQ/ByIU5IIgGWDuzCHXPnAojxCkMqFFRaOPTudNo961CAVSwWwCNg1t6gOxgNuKNKtVSulVakCiwBlTfFHJKCAOgKqlPIFy/s5sD0tJDRdeB1xBX3w3igv3h0i05sigQdgWS7w5m5ufmdf/evr3/wuH/SHvS7l65dzK+V+qdnr04L6jSYx+pQjfaIyVHxyx0KJJhBI9JgBUnMI5Plhi8AVAY98GGAUUGXjBxlBjhN3mRM8bHU2UFLrCw7Z/lYwREEpa1IWCSZk/ydVO7mSpYEPhhG7Eo8IUoPPPHYATSQSOR5ZXBESZhZ6JjKlWoZ82NBMQdxK8t0ZiDbTrvbBeSi59TcGfsEkpmXOM5RPMXbKuRSpx5uZjKFpVIxooOQJ7bOckPwLLUV/iZmH+8lGv/LG6O//FIYg7FMeGwC9cBdJt7jyemhlSvU6fBVKAlsg7iIJxAY7iHmzyEocgQAhjBQjTSAC32MJcvOM+3EzsfOFqZFBjAQhNvDo5MT7syyc5P5fDihBAlfY87ZUFvlch6hk7FNF7k2FsHGV9KrzSclq47wHHYHndYplgeVnNR85WnHZWjbF7a4kIFkszJb2+uWJSY6lxDLM0YdC9IH3iAbbIXRRhpfTLo33ReY0fAPNpK0f8OlwmaASedWfDBtk5380quv9IsHh/fim2urpfXyg8nooAswlQw81zG0nhL2Yn+Gf0CGGzWNVHXqxub2tku2f5b6GHJXMkjY8cwBghQulimqgrT0ejSgStvV8cUiASmG7sS0KObKZy13TLK1sbraRBANgumIyhosQHofSbU24thiPCgOyVfKPEVvNGTC71zYQMx0hoOVXJnbKNeqZHmsrKy0ux2AgKzJJM1SLoj4R/6AMeAl0X5Bh74cLA2sCEPp9WqRKF4AGhxFQEcQC0EOW8M2yCR0G9+LhyJMkg7cOV2xHUVMybOJsMCqAMPgudhJM3YuXUZd7R1Q5T2BhAAgkBNm5HSclBP1+oyFW6lUAMxIB52N+hQTcYZqrcakx0XhapAHevKWcyISLuwibiNmAj4oe9abTcAregORwk0PnSD0GAtsXriE2cmhUzqjDEd5plvWDD0wHgrOsvyGqmXKItopzCgUS8w2KVgDx8rRQoQIKrEj2Dv1HrDuZb4bON6kUfoLOpuMG5U89GaiS7gXxWFk/dDth0F/OPHNAHOXaoVp51H7yVPNnWbVuHP34dH9ByPTcE2r64yoJF7krAhznMlOyoydx08s5/KbzSaDQ/8qjMhiuURDwoOjfbClQsEeT2d0oAOv6PfEOMHoqVaL4sdR5KXFFqdhgpMHrCa5rPHl11+7/cZr/89/+F/jfGUxpYMoC1rP5LLLcdkmM50mVTxhMWu7nttrdZqVGmoOOLucLUA8YiL9abvT66NQablAogSNiybERnFyoIeSVItVNQMvjsnWzih0DPPG06HoYZwLrBgALcG2MK0T7nw5jblntIQgKrBSOq7L1HrI+lwCCROJBy2GNmciEF1r2LeLZ53OYDA663YRRagpxA9pShRsoO/w9vHScgWqRcm0IfZCjhKuvZjpnAXJMRgMwCHJeZMcKSUp4cXl8xj56CyUXLVer9TqcBbCQSQzmCptKNPaWWYNtj3pV804wS+1wEllnoMrUIQmMSbUJybUaDxCagKywW2zyZTGAB7PSTKauHIg1gzews6XOI5nV80s5To+ALhm6TGl6Bho5FVnFiGmRDybhV1sGfbUqPvF5tefHu0ddk63K3mrmPOOZt+5duXYyB1MpplExbjG2VNsqvdtujtmzBy6Hn+v326L1k1CsgXNHHlaSonYFU+XAcEp9FoDetIx3vQrw09lAjSaNZo/QTgsRWR7Nl+oNWsU+/3gB9//wQ9/RKQCjwHBc3VtZYURoTLTzuNZPRud0K5OmgoYCyS96zud41NOtbqyQUba6VmHws7HT55hDBmm6TMbgwQPM1Mu6YmBdEFsS6IPtTt+SK0vwpiA33QyQq0Qh4WjGSs2hnTZ5gyKQEp4RlLJGDRInoqY53yTzlN+Fs7EGVuQ5QD74XaDKWSxJjbRN+XKaIjfCbY5we5Ba5INg9G6vrEJYzIBmU/MMHfmMh1B1uFRVDsTSmQIphD6AhstY6EXRS5g3EpRClhwFgnJyIukok4ra2RJj09ZGpsbgx3UK5crYpphOCPGytXFcDo7Oj2FM8q1OsAKICEe45MHj8nmZP7hruCsbW5vcXv4oBiG5BGJlcOTAStYBWAfEgVICxFry9Qh7kxy51NrczImnkbGa8bBQJ6BGZ7MhnNbH2UWz9qtlyrNi1a5OolyyGR3WDGLQyaKXR4mhPLn0wTYea5FSRERaJuVSnF1pYLdA6wIZIbgJffj2eERjjAymEmMuYnWELcyxigTdQbQD+iCVpozB8H0pq5N9z6abwXqum2/UlqthglFCU5Dx4izXPy7fBe42plbRVq11mvkP5crOO2YcYAIs/GYJhjMc155XCAlE9+20Rj0xr4zoz8QydGEKmAvXEXqnsTDpRMDggVgPkMmkqQZclfS5DOOUTtLhgG2l9h2qrN4RWdJcT7Shjfyh/kVSf4X/gIwAfa/oC58AjohGiK+6XwypjxtOgjHzG3mPawFhRB9GDEwBEfxDeYaN4RawsNbWVvFViS7j9ghAkNSneiJhYHJ5Ul2IrsPUSebvHJlabTAL6JoU2GILEMVgUiCg3EzuDntDvoUN61YrBjApqZ9fHh0/9N7gwFpgQyHy2vOtDe3tsn+oPVblvJr/ErSLHF5RF3judODgTNKMUif3DQjIXy3t3c4m46HgTcZOTU1n13YvB8kzpi6Ry8hV/WruzdV8HgyWPpjvzdUy/nmRmP39ssw0MB1sYJQi7PRKBP662urIjFzxlmn5c5iMjq+/MYb8MaQICh1uKANlMcWi9hwyPEZmaPAo5SsAP6SHAWGmNB72SCUFABKzp2SahYwx0fuxVrTNv2P2l0KcbIRVr9pr6w9OjwcdHv5AIQXaMkdjiawN3WAUFJKoUg8z9G1gbQC6u1niA0QUXBGGiZDfOQMwpvWzUDMRFGoU2Lo8XLQv2gxDJVlBRi/csPwEzwkRvRzfSXTnPfyP5RJ/+AAeA7vCp4RzwS7l/9pnEH+q5jHdI6VgWGDh+BKtkKhAJ8ivTBj0CnMgEFvID4QTQuY9WIRY69QLYMzImRD8KSVSvCR6FPmIM+w5B4uzn2QU8MtIdC5AYlziLziFoiZ4iQhufS1CztwRplUmMYqQpP468Gzg0G7z+kyAm4bzihoHZyVcmXEuMSneHiw9ZAhKmBWA0gBZAofM5XoUYCaZA5FAb7+Wr3c0KsttTc8HZLyFtNxGRxaUin9Vn/8LNvtjd1jx2kpTj+DVZF8/Wuvm40aMGY+of8khdbk0IhZiiNGYlqp2CzbFvp4rV7/2iu37997WFCULsFzMr+y5CMy8ZLZfHL58uX9/UNMQEhAedQ89NG/iCndykcOiXnE211gUjT9Sq1xcnLSa3fI/SYSMiIHDrC9VJyOSADX90+PM702MMtoPGeUADnhAKA+KCzKnEFkhhKHMVD39DTTPYQK854/yT7LojOws3LiSgskJrwi6kzIsDR4eIPyYjAxTlKSpHwkAgsqiQqTmJUIIoF5xYKlTB3JkUXAUDfDXXCsKEXRgjAN1CLiw7zh7HI6Qs0C54uPBqxcqW3C+BIgkIRGDFS4RXw2ngbrCq6BV5DiSKnl1dMbQomJ4Emj8KkS4w7hmeXtigEuadkQvb66VqrUEP/c1qjbg3u6J11KsLhfvGhOTW/Js5N+udBqrK8gz8ACBv2OgOQEH0gUxbQR6cawihlOLJd4bLla3K7fAhxEn57VR//q7CfHk55Wr2VKhUsrjenREWGdR8enZTccqvEJDT9qhY0XrlU2VkjmI0QFPD4bz70ZVdJ0hArap6QmZKk1PWsdVSuVr7z2Sv/4uHOwT7yuYBk3X3/5rN0+PDypUeBL447ZjEFgmDD6oRHzHNU2J0g+6jDbMBNDgrz0M3Tmnz591B324XdoPpwMVy9faU3h1KTUqFAGRoYnxbnoLCLHkmIraIJAfKQucXq4BzJDEcjHIIKFYrDynjQHRhUdQiiX9lVE87koB0JWsXXEYhYVxoY0kvnOvmLCnf/JTBTvSE4t8oaziCjiRGLN4sdE5UbDpFEDB0aIL7JW0+4HYmojUPCWE3hIglQIDwlaZ5rrF+qrW6trVZP8N8jEWTXhuUyKV0g+AHvLU5zDPeJrc2HZU67NicCPuB82SMwr97XkqyV7SRI72J1F0rvIR+qnTnr93szBNq+USwU7Px70MuTK00COkK6AUIkUjs/nHm14gqRQrWREsQKoQipuOc15I3rhTwhxUFMbO5F7ela2NWtl9RQrmaZuM4+O9paSAUUBhJ6BFS20rfUtJsR4MKoVi3TvXkQOF525w3a/DwJUqlYuX744BIYL4rxq7LW6CIOffvCJXizkMhmyq+fkbUXhGcGHhbq9fQFvL6aDY7VKMgbkBvMB2YPY4pH4HoYkvuHj8fAp9fAR+bAYWebcDb7+zV/74NGjP/3hj/pu9OKrL9Y3mm+/+24Qc3di8SCtEZ8EQAWOlZZ+wBWMHAMSu5QeSAsaJWsVkRZIIQJ+IA6iQOdzcFewW6YEDCBaJQvITmQOxsHJQ7RlcVYBmtGOGLWSw7bMpycglNoeC3B+OjPqfjzaPwPxq29tru1cqK6sUkIKZECNoy+UJYZEzh2VSaSQY23RhQLnk/gWZs5KvkTRHK0psMKpKMLAEReSlo/ANHgi5BvAKgxc+jhII3k2PsiX6SaKik/nGxwosoKNr9hTAnBU+QAAkAiGzirm6hc2Zkm8ubV5/foNqhomrdZZ93QauTSlyjXKmSjxJKroHnVO2nudjSvbjd01q1ArFpqcCRvDkGwlN6dGeSqM0KoLdbdU6lTy6mozTzwpWDjdARkSRd0GVnCweEndCvyPHzwt9cvZSpEY/3rRivPazE7qhWRnu/z+Rw9Uo0LY7Hj/UK+utPzFvb/40WgyAeJhHs/C+an/BGSHfLc8AZes/b/+T/+z/+Gf/dGP336L/jb00MH3A6XC3MySKK3RahH5uHB0/Qm8Ffo4SIAG2BKNrW1YjRl7+eLFfH9cpgmZTrqu2ZtOqCeCG5CyIQV0iGkkWBqdMOjaKW3LQrQ4pCDf2ad9Ge0skEnUBZAtAUYlvg4ItjjzWBdQAvMDnwOEHZ4hvgXODs8IVdiW2mE50eE+9AvfI1EYUqJq8zHVB86jew+6w9Hu1WsNonFoETQZARo0GUwLREgbLEQMTk7qvCGHpC8Te9C1Cw4QcE/aUyGfJQwuCTMSsBJ2gRdkA1cEoJGUIU7AH/iUSE6RnbyIWS3+mXDOOYPxVNwlo5AiWXqpWnv1jS9df+FFzDLMauZEs1TYubY7oXV25NEOLpcoXaphqG0BHnCGMxKUW4fF8srFSy80V1dBIXluCsXJGDVldpNEpBcqRfyZtUuXKqit+8/QlUC3UtnGDZF+hCdBBZrnn5117n1y/zd/51tzb1qknUgS2ha1GD4BNRyfTx8+pAUCGR1kJVD5BdBFW7ednQu8Pnj4yB/PQTSb1TrT/f7dT/udDikggylt5CXhBliZiwpiiBkAJy2U7Y31zj4Vg9SwRNtrq99+82uIq9F0VqlVb5dLW9Px8dnZp598TFKHTUIPAwm2jABjkolXQwUU0H1qD0EhxlRARKLGFuOKt4FyQGGlYkg8ZmY6SVcSeiTwChwB5cgzo2iEoQEDSM8pVk7KQikbYYhCImEovuTiAdqK8MocVAS3Mgr3nj3rjye7uxdJdFJMi7oazApIxTWweBF/mIRiR0lXEElqA/KA8pyMy8NMRJsBHTFefQ/rklo8sAdPYh9z8GWq6pnVnANDRQQpsgcTmy1lROwmg7xxUFSsLt7Y2KQ+NT/U0uThQcaFoQKFISkSMRhifgq/sdxBlqkHolpgPk3nwHNE5HhkuJ4U+pBuTZ3JtDXcvXRl+0LTNHzK1wl2iw2IHwrMKIn1yenBEUWfJgn52BWkpwId0SVZV4k7pgpY992Acve3fvJTmpP8+re+QfYNiro/6BIBg3rMc4AuV4pVDII8mLq4JahvQrD+zENNY2VSvj2fTN97+4NMzlxrrI7obxkmjDgsygBCcuYSc5Ox2j88YPgAz+Ck7/zeX200GsTRmJce/QgmY+Y8tRbYhDDxGcEV4pBUeov/AcJO60Tp+MHzMa2pAkM0UaiKwwzsTWyLgUYZ4CURHUMiIBfIAELGyOyXNFIpw6TfF2JB0hZiX+zqX97OGSj9AYHJkaPBABbAs0Nh4eKSQ/kkiDqFMxS1STtiSTASTUKOKcrRIFkpNfYRdAw2+Df8TQST7ELhlZETkJIymvckQWRC7B1ewTNkwzLgmlxdZBC8yz3Dh/DAcyGEKuOtLB3Egg/wRcasleskbQGZVMsl+BW1y2hjunIsdjaOFlqU5EJGTMKwgBQEColT0TeG/YCBs1pew6zUYKKnYCi9+s5ObTW/hnfPZbmJg87ZRw/3ybFsf/rUGcfXNldLRFNJYiXPEkowrSUTjfPR+yo7870PPnyQK5lM163tDQhgZGzDyvVGWFTSWlCa4zA6pJQAq1LgsXfAbC1aOZICkD0BPVCzNg8spg4VLOSbQk4xoulKTzQJiSMFNRTGcyxlQ7Qb/87v/s725csY0YygIBESIbarBp27h9gCtXKxT5YCskamgggF+Eb+JfPctiQYmxqazG8whWJeswwTXSIkTNWS2A3pzCdGLoWmMuNwrsnhA2adUK4l3lvKJL/4smQgeQXOYRInhGHHyACcUtLVECz0c+l1qL8dZnMDU6Bkiz9aLcFGeOlIWZKu0FN0sLOoOska+GYU4uOTtjuEPnvD4YzSOE+aGHMNueP04eQ2RFVxRcH6BDaE8Yk8swPxM8lTwcaOAolLky8PM5EFrne4LbKGG/Vqs1YhqYq/Yo6EO8nKwDjA2EMuwXTkeNM3eT6ioXTHGc9o8qXi1aPX6DuF/Ue53Wx+9GSSWUxvXlmDkPBi3x198ODBXntKZzjCR/UVssdJH8ZTU2lbjUig4wkaAd6EKliXhJYQMYNhWJ8HksfBQgWlSrZQdtoDnV6XFpVhZG6IqUm4jTEBfZ+LRMwyzjuX12b6jKkd0GY/S3dvnl+juUzq00BP0IUUgdMzcBIZX6Cy2wS31tcAyVle47TXBdoChAA7pn9NsZDn7OR+0FBh7M0ZQA5HszC8Obq80bDcssR0JwFS4v/xV7/yWrVaee+d97B+IDQGMHaO1GymsSNy6RlP3D0yPEhiwdXntMV8hmzqNFsJ+qUUZN4v30BI3rMJG8TxZDjCcSGzlXkrc5fcwwy5nxPUDObViHU7+gkrVZQqpRooiBQU4h3LbMvmCog5Koi7/R61BJ1el4yptFETiWIy9ghLCT2l3oAIMa4rGpm7kT+mBxaDDKWwmHwnho58wGqTyYG5RaQZUT5zQfJGTzSlYJvNWnVjtbmxsb5GbSXgU5o2hNkINg+rhY4/IfwJDTIZNBqaH+QbkyVRKCVlHZwE1ATHWzHKxGTuPd0rrqxd39gqFUo7frxTXf34x+8w7CG5YaRRL5IpNGKgmQkU6TIY+IGIvXy2P3YifYQqbZMFPJrSkIg+mWROM8OXQoCSZ5Ej4N9a5sVrrCJ0CbDxJz/6CWL46rUb5CbQU5z0Pdo7IGh5VIyS5fhgRIjJxcpui6SxtkppLBKeQCnMARQnWTA0KdONQb+HyUGskGyIJBhbgIoEjhA94mGjOcUjIzOL/AX09XjoX9zeardaQBxCeRS2pmJfgMfwLCwjggAnIilQGW3zNXPrwsZ4eLZN20bJB0o30Rbpxl3yL99BS96gBWTVjgFt9lhJDmoTr8KgAkYmvxoMCi+HBQUEL0o1DUKaVvwl9PycKI4X4egODw86oC7djkRW4Raio5LXyqzFpeaOEC8cy2XF7eICcu3lds40S+ZKvxLOkT/5hf9R6oI2yD3wQezuRTyaEwI83js6rpafbG9u0oSPRbIq5cImzETNFUna0DmImIIzFyIH+DRV9DkpV5wBoUe2EGnU4kYu9lpnHzx8FrLg0sZ6pHlFwyyvrcB2pEMgnyZ+4LD8QJrcLR6gxGClXBxxXV1dRZDunbTlifDSCdoKHQV8J0EB8crzSrdKk2KT4N/5nb/02u3XGB9qhnZ2d2kZRhxqcnzkwL9E99AchBG4MXl2GSx69ZMz4APt0ewKKxKwccYEn0xpJet5U1LuBbKBD2grm8WIxILIU1DhBVifsA1kIYOeaU9as6yLJp02wqalf/TjHw36AzQjVR+0giapnJFhngJKAxST6yll7TL4YmJSQnH18s7f+/2/+fTRfWqY5GIYGbx+cRN2EgrTBYqlpuYpawrAT0Ni0rfIVUEgYtukeaWEAKlKIISHwiow4Ge9/t7Bcbs7IDmRxQwJpPP43BxL5cEjnDVlAWHSlBEYmc++4Juf22QXeRD5Ul5ELD1/v/wl1ekwolALXSIuqI6aOO2NWr0RmpCQPgsfmK++bJcrEWH83ggeYt4gPqlLDPBrSVCLaD+havmcSj/WtFJSnUzKm1uXbgUPjtvPjtuEWurFwqXL19ZvXEGQEowcoyHwYwnaeKRcZrFoyI+lGgZ7qDuhvJ4kL1AMomI+vjVeBIlI3DqGJ7Cb52KXi3b7y7/127duvMhD0eMflAXtQ9Ydhwg9uKQUIbFkU+pTQLrUHEE+o00YQnag19VZ+4wQ2KDfn42HmEE0DieEBV7HcHA8ccrpcL4g/gdSQ0oa+YUMH+4tvY4AUqBIHFcUdaNUAd0gj5Zr0YyB1A5i0AUap2ZNkm7pU4lPkcd9phQ+UyQHyZ1PXv7ml3/rN7/dOTkUZySlSOqKp+9TzkktWFL8SXZyHCZAgWCbQw0ofIijI3V9TA6kBg8HVXG04B5CGoA61BL0J+P2aEj/MzKesDNo3gtpCUgAOAnczEOkMk7YYckU0J7pJczyKzb0XLqb8Itsy72ev8dYl+zt9Hs0GnYF4yNum+hsZmzSm9AtKlyvVSu7EsBE8WNwEL1nJrPSUZhRzlzQW4QINyFp1ep8RqD0cNgnbku6LQuyLHK0ppkc9AZ3nj5esYrkPRCAJNRHOJE5xszG4BvNZ2MvsmsFzbZ74wm+APkIPBBWO+kTwPF4bWkE2WagBTpeZH//b//+a7dfap20wFVwrO7eu9djzMjThodgxNRq5lnTZEVkLd0oUA58gYgJSETjfp8dHL16a0r3P58FE4CS6cgujhMPAYqN+ScoD+XJL1y9Qj3wYDbG6kT3cQaYjylEfIQywpfrtdqCvsGjhZWXUh6KBqej+6cneYSrpiKkgXlxA/FYABGI0mL3OJPhO2+//d9XC08fPzk3oj9jGgixZCnIyZzGb8fhwrKjTzC2AdgRjgy2U8q+hqTySU67YEGS14ZGBfqgQ9FwiOmHQSAxCiODSsVVYfgskzCmOJNwC4LoXK7AHinriBL7pY2vluwhv3yRwZ6/F+ZKD8fClKHJIOAxssUJxeKAjWBM1jIbYdqQqHbcYuoja5bH4M0ZRRakAyoTNcqcV6jhzBpDxyH+4rgRi2mNJkS/MgDBkyB568O7m7Xq1HMQ8kwifGxMFvqHhbSSydL5sGnRL3ehkNrHTMNDQxKQpwCzLN0Eqa0hCYtMZ8/7vd/57Reu36BdHAAMaYGYLyetk8PWKeF2dkcpEKJnWGBy4DLMeSKPkIPJKqOEBvD8nKGRTvPw0aMXdnbpz4845QExJ+ARQCmGHWWFsL9+9fqFnQsYnCwv0h72Hz97iumP725SVmxkLm5sfW33Ynh8/KQ7ZOKVddwdCvTUqqLurKzFOUIL9FXBJILGyAp4GyRckqpj3/mjP/rnReAgqjERJ+whoiXVteJmqbqd6PHIGbY6084YP0oqz8BOUmMeUopOxgYDaNAX8E2Wzlu80kFdekBhu5PrTbY7EiAhlgizp/gFAyBIN3SWURAmEt2Uipcl88jrkhlkl5SZ+OpzBkq/WUqt9K28iJl/znipWEuZUQI26ZF4AIQypfk5cP3xUev+PXIiS9XcBO0FSkfduadXJTHXJ6QAMIucfvn2LbtRftbp3HnweECuPggqmokeN5YJc5wdnFHFU5KSCR5fzZcAK6VKkWZ+FDwFAAVhXCUnaT6nDBnfW9LcUu3KKEcksbF8E3cce1/+0suSL67TwoX8bgNn6vbtW8AQVHd0+l3sDAYQfIzRhftQzMQDeExojIFDXJXCZ2QCiN5PP/qI7kH1UrVPqIvAAEsboJ6omcnmj8/aaxubt16+jccuEAmymcXUioVuu0t5ruq7ZAi8vL55pbH29PhU8kboXCmhQ/rY65sgJO48ItOBDpdQEHMfjwpT3qd2RWMVV1bCPG7TcZKULExRnkgMUnHzoKiQEAjYC2ed/vC4DWjrRQ7kIAeZCTEdDWV+w3YLatZl0QEw2yycKAsBkIoECyMz2D3Ne+dMrHqcVgAy7zlGkCkoLjJAeEi4h7klmzDD+f/yz/OvGP50/vLdr9yQ7c8Z6Px3mEeutPyPHk26Ss620+6QjEdRnWT/mLYb46pImRGdgRa+R1ZVPvJANW5evn7r6qWfPbw/7vaxX0GpJBGe7lkZWyVBLJMrNC0WH6WTIc2f/RkrWxgvvnQDXK3doxUrlSHzMZyDd0HWDiareN7MNB4RNoAJ0XhMoWRlhXbF+Pxk+gKlMqGxUaKVSsV+6cZ8PhmM6nQlotfYqSTLMjDwHBIQrsD0R6yKoCXEINJfUFPr+3c+WKlW1yoUhJDDT3yCJDm73e1zxNXrV+qrzQf3HoI7gDNhJF3ZoQsnWYeTsvTqT+ww+uC991l1ZUALMBrKOEqdSogkqdBCFHeAmsOEBCIV2SbFDiXASQo8pCksNYlatsRqmKkKwwFJH5bnhbBshE07VKcN6LsBRwueDcmJfIiXBG3SP6E2IlIssXTCw5nCAufSQM7C7/Ks2JJ8DdeIe85tcablv/zKh+UBSw7ie852/l7OJZKOGSsnWm5iJ6fckR7GC77BZz+yy/JYtDAbk5/rS7iYgAx1Q1SGkxpL6f1oRNiIgDP7S4dpg26TGE8OyWyr2+ugfZQRKp4PHGet1Kb09pdVRAH3aPcC7BwRWkxUg6xnwCqCqXc+ubeztS6PiU3tLSSphdVwCWvZdF+UtiMYQEwCjFp5DuqOKbCqVTEGmLeYmNwldX0gXmKXZC36M6zVKrLELgumZk/3D0+1HD31GROxt6jBwADFsccLQ2oCM0p8O4g7Z53Baefy5trv/uZvPrh3j5z0YrUMSlRfaXZ6Pbjq7OQEKpWKhc6wd/3GNfJ9agi1sfPRvU+bqgEw4dN+Cmsd7nfDKh3sdOPi5SsPgoHYXhja1QqUo8qGFd5JcqLqRp4F8mCjEC9IGSKdJCIkIcgCE2wMkDAaM3kwa7CEuG+SZFHgCCFEKjpV1q4h/EVSKAIcoEkyztBJKdcsiZ2+cnL4Umag/Id7Kzb0ks2WxD5/ZWfewRxgB7ymXCL/yvk4x+ebKKovbKBbX/jE0RwgT8cfhjvzIa2OBR/KF2k0w4LJNKm2MsW85ZB3p+nVYoVJ2++foaAJRl/+5jc3Lm+rucylAR2cTqh6iRVrNAse7B8ddkdEYCbeFKhboEASCKUOX6UVVQRq0GjCXAetDr2cyMOiwSoWEKkvCB2xG0WypxOBR9INui3TTsiq1ggFYt+w7gslTJQ50mmffHZ4kQXXqIJtZdqsRpDJl4AUGToeCB4jbJJDwhjGbCpu7W9/+zvYn6dHx4fPnhHcuXX79nA8zNIKN2uddHvdd352+6XbKD6cAMyJwWR02m3DT3/1d//KtbXN/uODt//1X1A5z6Qk3oFbwIBQRTabzC5dv3Q6GLomkVPOhPAidJohIYT+odyJeCcQSloYCPcz5hJ4lY1xJ7uKaU0F0JSQo1/Jl8A8mEPUnomNk0WyyYRGcAhYTCUsCB2hCvKRRA6lwuMLAgEGQF0x1UR4A9JJoykJVgiLLLlIeGT5PuUehAt3kcoRYSbZ5KvlO/mBv1Q/nbOg3PEXrpceKSqMW1nKRchGgQFWgMmyqChQSbqTPACbpZxAQKjkNbEzPHxu2xxBRtg7a3R7bVtXb6w1JGE00pqrte1Gs+tFnXmQdrZTT2iRPBpwCZIAzGJ+RmCSWJ5kNQONGzyhXIhGKtyczBnu+FwPy5OrLEE6f/x0L3fTRg0ihEIWkPdppxdgHuGKMIGIs2Cqj4c9HHMKHwlJY3ySv4CnggjmDZ4RC+x8482v3bhxczKcAizS4v7ypZ1PHz3gHrBluS4u05/+xY/JPKD9Hc7XfIpJ0sP7oToa+URr63y9Ut/e6OwfYgDRGJqZS2SCVI219XWtVLm/f19ZKVAPgzlPRtd81mM9OGwphpt4GU+E1YNYIU4m+oFPwuO8F36SSY1rip0jra08VhmjG26OqDqMQ9xKwCiB78U10KUzh2xLestryosp5UW5pFwpQugzNkr5JbULRLggBlm4Qt4Jc9CLS/iZb2UT/pEzyI2x8Zl3UmzKP8sf2VHu9/NNKJbmziEWgXk5GNSHXD48kzGhaaxLlsKkfQD+ER6HHwyH44xqsnYaXd668+H//f/0fy6UjO2V8jdffw2AJ+M41gJtpaysXyiEyeDRPsAJgBZPi9NAXfMiyZPBHEwQHJjH0jqUiCkxTqIWrNyO0YrM4E4RhNypPB9SBPbVjXsPHm2SQiTPyE6EQDCV4RzAG16gS0BxC21gyNlCa4BOILZp5gUUhATCCAMsxGR48eYLq80VugzXquhbxmzxbH8Pg2OKJIvCn7z9Xmwkh6cH42E+B/oI2MnajIZG2dRxq8UCfsePH2er5dXMpb3DfS5XIMUfKltamLU/evZ0SMXcVB0PXbJd0UgwAp6sjL/EoUWM8GS0b0ICoeaEImw8DQ9APS36GPVJaTetkKVzjKKVKJwAkp7NITBWMERGN0puigQX0mMxZ5bbORPKR/FBxAkVCwj7iokhtVC841Mqk5CZjK4wmmzCKUuGED5MxZRwc+rBpuMv482By715lQPlqy98w0DLJncFYIXuwBZh7SwwG8CoAkYGLXbovc0SFgSVvCjFRfR8gzYrFPmXv/obXydpcDIZuB6tylhJjRPpOB7BfFooNTbX17zOkJQdukFJcBJ7PA6IB2dsUp8nWLVg3TQr0TELaNlElN4gaMoNM8LpbOCRUleC4BctXehK9vWvv+mTg0SpiLSMjEqEHpAEi+S422G0v/n1b7z70d1PHx+SqQPGZlKERIiDTjFZVgssItAxVWmURh03gSaMKdrO/cV3/7w9HIJWS/I0tlcqC0QNiHGhEbaY0gtxOv7w7l3lJsUGko0RZPWV3QtmvUYQgbwVcu9LpONvr5q9k6dn+5EaTVn9CuiSBwFWgAez1N6IhYlrhGRHqMgPXEkmiUwHbCLixkR6S0j7cXY4G8ygAfJQUWdEnQC4Up1EyASnjtUBJPKenuCcrHK2dFt+Xkat4Dc0I5chG06gNSkOF78NkcbaLCkXnL8g7TgwtcjlFVbj2SGWkCD9iXv/jGd4k+rN80ufXzFl5XMBxs2SXIvpVquwnpAsX5RjgUe6/FLJI7l3nBPEmJWegYjtuiSHjGZujiUyDXs0p3JpRuoFkb16Md/c3SnvXGrSTdkLWoNhb8gyzJ3eoIc1DSyPZYOhAlAvcX96oAgcxZwHdaIgghNIRSzmH/OWUYA5mE3vvH+H+NT1F67Wa0X4VHN1hDzrwvTa7Tvv3lEI0YO7RUqdhVHIDfbEovryq6/2ut1er7e9vU111I/e+sn2xhYnRX6gGAj80/95wioqNPYqljY3a2g2+JeAM8un0g2YHBI6DyEdqL3HYbRBEUjMHE5efeXGpRvXmpUVsGBENZpcy2qVzQY9UJ8cHqJkpN0K3UKlyxN1vALVojhYJ5O5LwllYhUJdeElIvaIJKmEt/PgjlTpY/AfE4sAIUUyi1TB3UiZEUkg6BFxl3TjeCExdjSzL6UkJ+SsfCf8IEoMOSTcAOsU85w7B9BNCTMdK5ZiTI4iq5K0D9GHwgB8LxYPf9Ak/cwOXFAYSL6TUyOx5bCf32Tn9Ai8y7l0XoutavkqCyWdHE7nIMaSBYD7KKEx5g95q0o0i11a6E0d6elLDc00Np51RyBH6yvNWrO5Va6Qc4q7jR3LAE8meHIjmmDgXbNCIMFj4l2SwpnOU6YYJ2dAgH0YTExEMTmRGDRlY3BY4I51IYCXXO/td9+7//gBVaQrRbuiqB1Mnl53MhyabjKfTD5qvYtnhNHe3FzDbrl+4zrLFRweHFC1zoJfFJh2Bl0GnP40mLDFSvng5AQy2QUKNCS5FDZFJaEZYWNCZwS48qW8dC4guqIBXM/JmFa9qFourpBy3FhdrazibY4VrVKrjJ0hBtk33vgSQM/D09O04k3wUOzHNMNBxA7EBGcnLUi4h6dNjaD0VZ4RI1BspQLJqPV6+/QM15/sGGorBEwlEwqhAIEFRZJSPdmfM6R0Ww4ir7IJCCa0hOASp2aPdBk8fFx6hUglJTnb9OlND5TbINtN9I8ctPTwuZyokeWphWGw24V5lizDGyBnogRy7PNteWVe+QJpyqJIWPtG3t66cokFMY9bhwB09PEosCRxn1UzfZoG8cnrBpVy9d//X/4n7W7rv/zf/+/e/vjB2VGblAaKZLV84cnx6eOTD41So+t4p90+ncJI4BL3gMVWFhRkILlFJWMXYPFi6fALE4vLIzsZG7ic2xTVDz3jeOAP8dvzwHmmOSQp5rTdsDNrltnQ9SoZTrRZpKxP1spUegReYqV72svtZlvHEFK6lcEcBGLQCSxD+e4Hd1ZYo3eR0FnB8aagkoTPCH6lNsOCuA3ePnqRm/ETD0FF2h6rF2JXSSwh1oh/fPO1m1sXNgssKUlnBWIGEnYnNQ+JNquWrC/fur3X6gBhAfSlBBXCc/NQHLAdJ00cBRl5eV0qMd6KXEGFS7tJXQe0GA4AD4FOBJSXDgQyw0QgYwPRlEmUnmyiZ6D0uY2SnlZOLaYC55Sf2EMADfqJYJzSLIy1F3zKPgmNyC3wu+yOn50KnnMmInIvKIlwUHoKYWDZVw6QDYphZi3fL19TmZqW2PIO6ZXiU1izILaVtZXSSQ3pja/BygEA/1Q8gZxhNHBnx2ed//Gf/JPheHp4xtJaCdlu9Pfo0hNuONq8uGIVyp3J5KjdOWp3MXfBrTkcesQmvUSwWQXDxWVhjiJdZBULScDgwZMpGLHcBkgPuAKOW7i6ugpvDXo9HOZKKd9kdRXPrWr6pXqjCMP5Pss/koxIpFo3ctNoDn8OWPtClieY0k8N8gnui2jR6Kzsn7RPgBOxycAQCYjmcla9ngfyBtxB6pGvQRMSsvfJmgMeJ9pED5toQeF/hiSYSrN8YXeHocaB5nllrbfY656NHY9FEbN0+CdGSMvlXLlM6hHwN3pzn8U3JDjL1KTfEWb6Z/wjREEcwWGiOMTek3dMlGy5koeDfYdl7RwWdGQ/VJlJB1wAZZLnkRDoQwPczIKWMCdZI6JqCLuh72hXmpKbswnzAnxQ+O05LKUKOt+skX6L3SCZRXInglBzNv7omymSiHkrkov1xeSjcJZJaIS95KQQSAwO4ZtzhhJ2SUWdGI7wsDAXpru0LGFVG5WV+i69+BIOU/ekFUZTTDGMlIBWELTvI+iziP8f/+gfpyXaFquSTCiLmpMT3We1Ixb+WWuu991DGgvVNlZcbOdBn4eHDKQGEXTLmwXypWh7KG28NZ+F+KgkoBi+1x+1Tgbcxde++gYK6LTV2t7eWl1ZIe/iJz/+0fHx4Ze++cZGo2ofd8xnpy/gDhraSNOOkPcK3SZoEU8HD9RKQG583tde2r3Mipk3rq08OTkCKF+rVfuDISFQ0D5ce6YnOcMsW0t/Vyz9InMP0aMaLDaIHXDj2jXKC45OW3yUKUsGPiu0FnNIScwZVKETDFqnxySHEPDCG8saVWyk2dhdb+xuXrhYqhCWVXsUmrmSFcgkd2iPlysKGov0WL7yjxioS4rIlMckwl1clCsllgCjbpJmHpKOKYIOWByPVVa9EKYWVwqbCtKKuFk6XZANyyClpJyRd5waSQ+FpY87y/kUpBkDKzJSewCKgnxjksLdaeyOexIbF2aEa+AFYS+4WyxwNJPcptyo8IYwtDyA3Lx8zWCln+S9CEZ4jLZ13Axhc8UoNhqXblynxHlAD3ayJVWTSLgIKaTpPPjGt7/9d/79f++//a/+4OOP7xIlxu5jybUZa1nSjZeGru0zpVyK6exl6JVqjeZR4kXSCCBnl63ier350vWb3bMzxE+1USb0OJoNr1271m3Pr1y++sort588eXxhffP2rZceP35oKqVXbr3wl37rN26/+cbjjz8IzoZl09rKFytk4Pssa0FiI5ZqhJwuMgEV1a4W6ZzP2la7WyuezgIo+oi+m8jJxDOyedC1yXhUa1KyT7wifO3ll/7Dv/t3P77zsw/f+wnF288OB5ubFzbWNqjSJxkN+knThkzGY53U6QiKYPt7qmdYnEna/ZGCxNqrqCxSGi41N9pjnP2661K3SKcOuvBIMQUtnwub1Z3ty+fpHJ/zEMoN0UjIQixtpAk1/oBAFnUJYF6MOzmJBG6gTIpgM+HTzBWkQ/onRvSStsz+JVVTYvIlNBc3nsNYBV5irxSe0BSBsIEuS/xgeEmyB3AGTSphFyKD/If/ggcjoNGSJ7hPXADRhcKRbMJnn12Kb5fMtLTyhXv4hi1lcLhM5FXGWNncoDUY6z/yiIQPPJY5JbQufK1vbm7euvVytVDCFWdtQ/JnQG1OkOnjIQQ1WONnCsZD7T2rFDZYqK497dP6FBYcsULU3Lm4s0tEkJRsErVdH1nk7ly6dOvFBqsOCIK/SGhqMRxhEQyJgNXrjb/x1/+mE8zfO2zpo7lt5oi/Ig7HfkivpxH4p/ROy+HlEcfEYbby+W6n/+arL+13W6+98urRWeutt98jAXWmznJIITvXO+vmbJYrUVsn7T/4g/9m0Dm2zaRUqdDJYToc3zluMfr0R4s86cBKmdHEpfAZtpg6xCioF2DZgxrlTbSRxFijO8/EzrGIdnjcapt5iyZyU2dQKuVhON2wtreb5WIjny+d20CfMxDvnm+Ye5AIVYAXhuWFIzccjCaS34CsYOjR9xpJfmASYJRABXBPKgKEsF/YlvIASstRQm/i46zYQKNGB96g2EAhNkeePZisCFaxpQSiRHMJ/XkVbknvSWSQyKI0tCTyCCZN90lVGjvJVYWdPt/g2uf8hQrFawfM5b+dm1cByu7fv69TJGBkJyBFLNahZf7BH/zhT3/wDqvyVVgWgYULfZd22FsrtTVSycUuxXw1Jqp65+lxuzNMFDqe5Wm7IZBEXiNh96fvvM2g0Z0IgHZv/4mdz1YHA5a1rde8Tz6FC8fKyXGxRO2QVPHe+eADnG1qF8enPbqzzPxFG8AudE5nEq+m2xxOtiU54NKHiyKkWrNUbtb/6A//GY3aNy/u3H791bXV1e9+90f04vrG19/cvbj+5NnDO+9/TGBr79lxvVCbjN21S5skRldLVfpBiRUcL6gcsnyf/HSQTxC+tZW1Z8/2AANxJ7E+q8UCyoWiJaBmmh9Aio8+/fTug1NR01mNJdsoXqBlwP7eyc0bL61vXF5fv7BE289JxPCnAkj8MmiAcBF9Ao0kw121dZrM4YVJxzwOAEdio8wxx3rnBUrXmDAYFSkVUyHESX5OCAltBUxEYoBrEL0maRNIASmM+GJnkaXgTBIPEaIL4ARsw71wUrFGhZHE6hHRuNS0qQojRU32kE1eUWrnn5ZficZDiIrfj6eND4R1Rt5CubhxhVVU24f7h8AVFHfSa1d6r0TO/U8ebtWLuO7kP7BOBdVMveFip1p6cXOLBc4JMz1u944OzrKsDW019lvtsdfFEmepmGKu2B0M6CLVGw9YvAtN5J7ijDv5DI2yKoQLiU0xpJ2Pz6hewuIbDgZv/fTt1269gD+lu+FR98SRphRBn/iG5FGBUmJF4nfTTErCGzRkxFo3sFwytFGc3v/4k9//u3+n1+p/cu/o0acPK0XrS6++wdrkP/r+T+E2yHzxwk6pWIGAhZzWV3RWay0XKgSzyElnXMWYJHPXnfeT2Sf0ESQ4omAvr1I3SsmFLOJICtHJ0ZNn+26sfHL/IxxDBvjg6BC9hjSRNC/pYp6W9aQjff4Co/BuyUaiyGTCc9OpptM0OlWuSRMg0TESDJM8EQByqrLyLEQDR6Wu+vNTLf9NaSs0hdCcSwxX6c01ZSlsWqXi6nLrmQi9y/0h8bi0kBqNKPaNGMQosPMzpv8Iiwp/yQfRTiljLfcQZZbyViqWZAeRfpxCQAmuxl1QLy8ANQfWN9auv3wLZ2fQH8myYUDi0vSJ0GG2mCdXvcIaKDOXEgvywYe7hZy1uZqNwtnJ6Sc//fD44dP85o3f+s2/Ca7KAjOUXf6zP/oXrPiEdgPhIP+F9XQIsvEs+0dHdDQuFkjlKyAG8FjxQBE/3AAs9cFHH82cyQpFJCwvqEQjohZSR0IQCfcXgJYiD5wncmZo3Zf0R7Pd9dX1tQs00wauwmJ7fP/R5srGvY+PO6ftH3zv+48fNbe3LqCkOOTypcsXNjYovKdQs9sd5LKykBVCXux9S/pH071aFsoRK1ZtDybE1yjOkAI6bBCVyi2/2+/QXITmOtk87dLEnRA3R+xbup0UAPCe7u8Bmz1342W0ZTsnCVRm91QIQS3eL38TLSNqSipN8ePxQYjgIoWwiDMWRcrSMZ49Uxqnqoj3KTHlA78sBYmIDNxQ4ATwWX4XFsCOE43EudPj4LSUR5fl1cvDhAmFUdgp3XO5+3L/lIvkV2FPXoW90v8ZDHlwql/hXH6nrsYCQQfloJnR9s4OHz/5+O6T430JqmJdUrwDuiioHxPDBE0FXqErD9qDoNjTj++9886HZ06oh+rR/Ycfrb71t/+D/8XD408p+0LyU4qPGKMxEMEUbgLycz2em1ugbysNe3kkwBGJtdDwAjXNfana46ODo6xWWOgVUACVfrfSuIaIDwIZaYmwpz8omTrQDlthThWlWWKVGzwLkO8HnzwplGoXtrffv/Nhq9UnrfHalcsv33rxpz96j2PpwQXWQ64iAwXroB0JiUA90SioEXwgye9TWG4XR9um8Sq4Q8Y8brfRA2IkGFqhVur3x+R1UhSVBt/FMIVuSMbRbEwiDX2JxQv74rakBN+cv2HQufdzkqSzOCWMHCKePn+cUFI1RVUI6VIay89yBr6Q7+RfTsK/cCJnZFCFzzmSbxkq2U24gp3TPfldBFbKBnImPv3/s8l9/pt3FrnGz2AG6VUkR5vl07e3wUTjsUeZ2rRardJBggS8yWx61KKc2Bi7c0Zd8bXWwelH/VnQHRYz+ak2XysVoon/yU9+Mh2OLryESFjcvHLl9S+/+Q/+0T8GguMyPCbSU5Qxj50ykTweU0i8k/ObZBy4Y2QS/izZFCwpVdGzBRwkUo64VYad4zG9kVS0dmE572KZGDzejMg2wbkwG93pyJUlE379K0+effTgSf+/+cf//OWXXqCXPngHdRtTTh2w9gWLRknFkgApCx1OAramN+rZoI8JQd/JCjmU1SrV0+wMXsJVQbkQB5hT7IZrnCK1WB+SuyxIqZRcxvQ+mrBUyLl0kaGXDap/cZNnTBlICAsJZAcxXrkIELHkcNAwLCNl2wwNB8Kbn2/pvuJ6pehSKoKEh5Z8gQPECKW8IWdFX6VswiOes44M+/Kezv9ZfvjFV7lcetvyIj+mn9K90o+cFh2Ibjw/C0IUEI1yMGQsPVVnk0HOVCqF7N/4m3/1937/9/9v//l//t1/9Re5bGYIHOKzPGdQM40rGxfyGv0Ijc21y0nMCrstL1Irls1Sh2eP7mWIxxtapbHy6ME9rkHPWqBV+IJHQg9L7EuYib/UElvy1vL2JCTIeMiYkQHiIMuRP4xXSEEqULaAHZRlov3ovFasyjLQNtGschVT26OO2ptjUyATiH+Q4Pj1N7/6rW/rb/303fffu1eg4tshHXBE9T+QC40cSMNIiSZVH0g+SJLGL6UxQ36RQ5eQ7EV6FOWjJO3QW5j+68wN2ilR30fwS2B0oRvGNZIi7cjPIwhAQrrVcth5ez788s/nX0rAI/2GsZEzyG9yrAgdvDA2CRPCSsgjGSfRe+yQzi4ZufTNkk34nZ/T08i1hKCpnSMTkz/5zP/sxa/yQYSQXPPfvskFlheR49jk+PTN8iOnkrMu/5gC3C/STzSaqgzGg4Onj6JwQrFl3tYvXH/hK19/86ff/wmmHV2GZfKRI51Ea9X6hgUsSEK8PuiyVC2CgDh7XKC7PRnonvv6m2+yzvenT56ur67CCtIlEs+AIl3Gm/U/ZN1MEX6fbdyv/Cd3Kcte0WCEYikGVJIwiLbB7/Q/YHKhHkrZN16/XavUHC+u1OmJWMKJDmNXwvaLzHwq+XE8Ua/Tqmn5r//aN3d3N/7Jf/f/3X/Wefz4kaxtNZ4gpghcsEE82BXogt65oz6dseihpuVLBa5LBSMaU4LjbkDDAYqxKNKi3ATjVAxREHsq+4lacCVcOZGaMOFSz+Nuno/2Z0+XEkSIIBu8Kk+5JEv6yzm1RL8wRhh7qABiTRAk9Yw4BnbA2+ELOY4NnuI1NW34BuEspxBxKKQVm5ckcPaWbNnnmGAqa+HGVHSKXSzySUSU8Cn3g5TCDEu5KyUE+i+9iFxOzsgFl39yWHptOYX8RhsKU4Az2ioQ+zEMRHy7dZLN5z589/1/t7V/6cLOrVdfOm21hyen9KGnsQRzowd00RqYcxZ7zbBAqYvYp68LEWor2x30douF7Y2N4dRpn5wSwyTBBYnMM/NQOGc8kdSgyAMvnUeSvUjk5IFF+rIbhMDTZCIStwDLIEmGFHM6JPKHeQvN5osFpbHsZWaLvBIJxYJiOWDC/rJ8Ls0eTIUoOiTeaK51W6dfef3Vy9uz7333zqPHTygVDmN6HQGaENblcoAmMT3z6AcrXc8selAD0WD8sDY0JqBGDhNdK4ltsr4u+M10NENKoM+Q4ERkMRCRWL6XlrBIrIL/aEQFmRjZdOMNUyeF8WC68zfnukVos+QqdhEbEeiAYIeICQA4gATFF3ZjqITsNAICmGb6QU7BdNgRsgLVpafgRPBeSmuNpBRgDlnxC/NRqs75F/eFDiT8USyK0cavIIz84SlgNgFd02AA8U2rmyia01SKGxHeEG7Bf2F3tAJmKBfmetRgp/fAJ/kCXUulFRwED4Jk7l674Sfu2dHJsPPp//E/+d8SDqX0mtlKwAi8lGxkhv7dZ/tl1SwuTCtiuTPyWTXalODNIfaN1frWjcuUb2ISX93a/eTpQ3oVU2sonbfo++HErJ7GXePu5Ml4HDpSzazYLM/MWkFkyNNgCO1PQEQyTMTuBkpjcbEsHk+csVj67MFJ+83XKYohtYMSnwI70LicR+VAar8U+vXSCX1KMWNms9YcHHfvv3uHerT/7H/1H9eqf/ijH3/YGTmZXBbgjlJFvHfJY0gMeAMnnCAT4QQZXGxCVq5GNtNeEi8Ma2zqjkdTSAtbU/xNliTTEUxDsQxkHjZAIS8djDFfKC/41RIolSNLdkm1Tso9yxeRS+nGpYVZUgkgVg4yh7qPlINgSREIwpky7/mQvgqfpl/zEYbiPbFcTCFBcpDxaQ0eE5TDsBFpqkvtLy4JUidVchIYkUkkqBfguBwospRzi1mVCmjmumCZXAx5J7cnXCuiT+6Eq/Of3AzPDjuyK8ND4nnZvv3I0D/9+N4Hb/0oX6th+wxmBBOYQiK5YbV82SiTFqpZwxOWEYIWCvHqwQRHztjdrdLOrj9x6N992OrOHBZntcqVqiSfT4YEA7CkAVvoiLq9sR05e1JJwRpqdDukPhWnmjmNJBK3TySw2EsKNs2UBsdShyHptSxg3yZcQgiCrmcBCSWk3wYz2u0o/kQN5/RIF55j8Rdn9ODeR5att1oHH33yPiE4nyWxWRSbFRjoGUpmCYAbSWBI1EwGD5FIOmVt4lLgk2GFoLZJaUOskWRDIZ/0KAB3ZYVInx8QVPALEUxEJtSgKoUcCmwX9hEG4h9e0zFmeH/ujVDh+TfLHT575ft015RW8la+gGTLt0K5lFrQTAiaHnbObPwkOknoiS7SE0rJBB8SCEAFEJJVirllCkuZJgJfsbwz6aepmEHOZhPFVjVqYNFhPFyqIZBLgk9yKU7EmRE8gDp8IzcnTPv5xgRiD37BOCAsQ/nuql0L1+uT0yqJMvxCRyMJ+iADfNKElM169pXrGzcv3cjr1tMHj88oa5iM0dk7Fy58/bdf+9G77//knXe2tq4+fnyAygKcGc4HdkmwVurEiBwSEkd4GnHm4uaVYBI8fPAInMkLHPrKaxlZPkWC+hHrMaaJodLRh7FAUKBilGqjurZSjLzRIprRJEaD3oEDkdV4TpUJBaI0GKPpB4kSCz0Gj6YKjFja/sn87/9f/z7dpVntUhaWJd+Kd5xe3GUZcqLiEEomiEx6oRv/i4uF2EZIEf0U5cQUk5Fk41hJhuOGKDCSFTswxFGj2nQyJR4lXhg7ydinr7xJGeHnXj4f/l/6lccVW0VYg2kunJh+hFO5LXlNARg5ASKao2V8lhSVuAKERw0iUBgy0n5p4ZLgE8H6gK80zcAHwENAGTqGOkcRoI8ipRAviKoAigcmtYFpkpu4AsKMIruWHCyXgoe4FpFPufpnG2MEK5Ji0Wp3QWQoptooadubG9d3L40n87/48U84QY7eOX5Eo51y1rpat26ub15bXz86POm0W1evX36t+eLWzUtXX7kRZOKu2y11jWLpwllvcnjSovMSXQ/j0CXuhTqQECXNYPGIVf3k4ISKLynAtGj6OWfqo5gYJGAhjDHifsxsRInwDs0nTTqm52sspytYUNDrnjUba9i5IfYMgVNCkh6NOAiGUu/LOtGcJmStKUTj7pVdxqQ9eY+c+Uk0K1jZfMxKiTpF8qQ1YnHj/KfuvEwyIhYofAJtEA6ekATNNHglKVjiYKf5cVIXp4MikXULC7GeCXm07XZnNBzRThIZ8Hk0/rMh/oU3KSv8wnfCZPKVCJz0H8weTD7Ixzn5Vsh3zipIAmxfMXNQQfwvhBYisx9eAS9SyQDYvYjIy0KX1elBJ3JZQBAKGYuoYcIEpOvIwocKfYuLelIhf9k0PCOBsSgiB/9KrygMxOgQz5fbQArJteRC/C03PmBzMFYsvP7+Rx9Sw9UsmlfXShuNBmtGTWbOcOqd0IAGocDaUNLw2vYG06y7+ORnd54cHNKB+dHR4PJL25deu9EfdQ97h7TuXKtuXbi4C12p+8A+67TG6ABaUtBpwTRyG5sr9JmXiZ9Em2vN1XoO+3d93X52dIIGJmMPe5bpD4FEwVCMSI8lFmZQIrwkll/IIoN1/aR1WihUySWcOfTkCHCqhiy9w1LrKRpEoVue7I1CaeoEZcX62//Bf2TXtz785OHF0upZezjok85KJg/nl+4M5KaiHxl4caKQLZL2T3G2rF3HF0gdCId2A/tBoPArX5rSfd+kXxZdfKpVFgIYb22tj0bcCQsAscTncwm0HGIRWV/Y0lNA5p/bnh+Sfs/QMNwka9I+U7oSpZ1sYAg0s0RCUCQin8SNTSWBjCQeIbgqBWUSriBOksiKIV5sBUolq6xgeVOwR1ch1h40FxVqh7FD3BkOJEYezWZYLdLOGGuV0pT6R/whTAIxgsTaRmcJ/Cv/YVYQJ5GNvis4RMhg7kLuRyAQMZ0oVGkB8veVTps1wQzJKKMiO5ubkc4jSUTGSXcy0dySET/94BEDz9ri3AOJrE/2zvb2T8xhZhaMFy4rSY/n7UM1GDfLmdFgdH2jXs42KeqDjZ8dtnauv1BebSAAaJGDcKG0xswlm9srhycbP/zRHT+aUeblhPhrkmEB2kKRLy1D8MiAF51Re4VeeKXS4X6rXt1kSUOM61kQ0iOBtfQYX4kkej5rJuL8//itD6xi9tFBazCnhWy9VFk/ODglZurMXZqi0P6rYBi1eoPYwYMHj4U5YBiKs6XbDvoIHsJOcuUJycum06UPcwPxMQuZCy7tDojA4OgTqz8+OmAkr1659Jvf/u3W2dkvItFLTlkKmC++/hwHpR9SGSREEYKJtyXiWJSqoHYy//njZyGmiADeyiv/Q1GYlMQTsp0wAPKUFSPwE6WSUTbL2cvbO3S6eNbu+IIDUM40tOKkBiSP783UYKbSSJSEZiVAaLBUNR1DXIaDalpisQIeiCrG+gPAp98nN3H+hHJx7geOFSMaKJZMS6oZKL3tseIRBXLiAtEWmXUFQHfk5kkvyVlZCvx21zanrMdzfEKyPHVN9CD84P0HN166yJo7JD3AQ5lSo6DHB6M2nftW15uvXdndXG0cn3ablau7L784Y0HnwYwZ7c76OatIb/9rV+rf/PrtUbt358M96cwPQIcLTf0+M56cFlxldx4Tw/Sl988ZHQHL5ffefpfmS7WVNbKUCGTBRrSwkdGM1a+/8vqdO+96sT7sOQft0UcPj9FyNq29mFKKXqs2yacmfMuqD6Nxl5AceWF08MbagQWZVynqiUaVCCdGEvUT5DSSVMI3BDmZtuvrTYaOLBVWmjs+OaLj5XQ6J5Hh3r3H/CRG9C8zh9D9+fbLvy5/We4jlqpQWg4QM4qT8QbpmJ4gVVUIHb4XbYsZhIgEdKQnFNYBZC+pypXMollkje9sMZNpsKJEsURMhzLqum3YlYKB1+O5TbuUzcjaNqxQlFuvpbkVju4qFTQFcT76PhKkpCkHfoFCvqbcAsPBAEqoBa0m9yoszA84YHAHPyKfJDjFLJOWitIFFxSPoi5aclJbQ7yacDXW2Ys3b75y5dJ7nz6cO2ThmSwE7UTe0bMWiTMsHcP0pKFVK7OnVyrEJ0f9tpM3Tp5FynycyRe+8qXXC5s7hwMWyZmQ/1su1dA+9Kut5o3VSu7FixvHj057iBGGhXUkGRNNmU3xwkD4sP8yK/lsKVRrBUmUoScrt84aRbSFoLRYs8ACJCWmUs5/98c/7nTOWJCQqgxP7GUWgQc6pkE4YkPCGKh+DJpKrcioHB8PmIqykA1QE7ATWi2FBBmbtBEICiSuVEp0bqNqgEDIMj2ItuvIIdpQYgwhlaBofzAlytjtphIIhhDSp69LtnjOPMsxl9df3mSf9Nv0jfCRaDPhnuVRYtH+8pGIB0YKiQmrFbLGtZL5uxfrq40GAec2cUg/aJFu5dBxRSll9LoEt5WRO7fCcNOW0v4OkgXEhFaQvl/IWNe2tmaLRc/zepNZz/XHC3UkcgjFJjYYmSf46mJ7Pd+wt0BTWXqsP2BVOtqRs/4ljZtoVyPGkbA/wHHgUPzEKp3k+uciMpfPftg5YlGwAJ+eeCfrkSE3g+To8f6F1bI7GTtufNy711fVySLa3tymcP3kuLXRbMh6T5UKlKYVGr2jWASrbMHpJJIuxp3uiZtsVJuXV3cywzEp66BGBEa4bWJW2TzFEUrGJcSg3Vy/8PLNi3R33ScxVsqcKc9m1SnkiS+tOk2tP6Qnf25jd/20Peh0R7TwQQkB3kBOcJ6QzH+ZsXiFyWQyob8tw4MUZokceWj8+dQMwqImgqHrZAr5pAwAmOXyYGQFuIL6GcC2Rw8evfLKTRiIxNSTyQjpjOHKUmJraw2RQJ9xj5BfZqlsS4754vvPeGj55WevMrXhyiX7yJGpC8aMR0nBRSJnRUBxOA/D2eFcMD7Is1Iq39qsvVoyirZ5TApVv/2oNxoLzhnRkEXa8o6nZiET2kYhUZoGoF1zu2R+PDo56XRKunqxkd0uFREY7ekM7ULQL4ftEC7ITpuRNEDWuTRslUwjuVURQfzJwgPgd9wLjimdxeTWcWbowhbFFD8jAxr1ksg11lQBCqHZ4OCE/vOsFEd5Kznn5KXP3GCmJqul1RcuXZ6Pxyc9B8W2e2FLrxTdyWAx6FLdzmLMhLL2W2fTs1F3TOq7Sl8Qf+yQ4oeI2H94cKrRxMrTkJm+jwV/8cK1q1sXqRj84Gj/Z88eskJuIWuWZ8mKnrlYq/iyALp29/ED0heLmeTmpS0A8h61kVmrULkIvvm7f/l3//F/94egmQXWbcwRkJXmQuQLH1L1Equ5Sh3jGPVvWkatUaZHAjVarE7WG0zw7gFkMc3Z8PtgmtQXi2AjUiBpG8Yvdtm4des6Ze2HhwfwFuA4VZS7pNY21+DUz70wBnnJSTLa6aBjWLFhXnzBERZ2SLlB/GVAPzHblxwiUDBshCITn5x+GALii2uOsJHc+gxNHXnHo2G7USysK6+WsjfR90M6EYx7wbx/Ng5cxdaVkq3tsMqJLKURJWZ8sVbeLq6UFJuSKdvUdvK5/skYLegVentth7VbaFXOmn7ZSNss1b3xDHMKBxRgjN5FiB9McHibB4FnUouNeLNWL5VfvHJtSl4OIVMP2hJ2nJPjhoty8/LGHlk8rDwYKnZp0U9oO2tSEc7kw/yX9JOQ9raFb7zx8nqz4lhabXV9RF+PnSuP2t3H7X2EJRmPThyC/7cP9sNcZRZkBjTbi6mnpicnSRWWM8eentiK+vrV1Y1+vHVpdbe5vV7ffLR/TGeDEjVI5WrFKisDWvQEdz7+hD5OJHj12kPSJ0NTY0k5ahGL9XxIcnA5x1y8/+RuowHtnd2dbcS+tNRd6Dd3r2BcPjnuziRvg/gEfdZNo2BiXvn0dzaNtWaRGSW9n+Icw0PFIknyupabTOa0LWJ9THfGUiH0fAmJ5hP5odRaag41tdFoXrp8gySnBw8e/ZwNJDMV0ZfmRMNMyDecvzSwhcjii5SvQBUoyZCANnyOsyLsgYUokSkRNFAObcqCtLIeLKaQBx1F52Ct4afBm8xMpVHULymLHQCxo9nxItl9ae3VrXW7eQiojyMQzZKSml1jDRsWQJ0eV7fy1y7tGrnm2UHn+3/xQxp6f/1CYfPyannFmrpTJjn9DTWKdhwJFJF4R2wSthHXi6yH9G55K/yeykhsHVCORqlSfek2aUEFf1KPZ0S1xr73zr27+2dnJ0/3aF/y7V9/DZP97kcfH7lhI5vHUpiNxoEjMrVmqr/+5a3Xbl3udo5ZfQAWnGMdUeitUPq5mswRoBN6WBWyyv7d+2q1Oc3kdOpf3OEinLDKwHTKshULZ9h/YSNP9t+l9fXqap0Ow48evP/T9+/lqyvf+tKXHx+2OmdoRW1KXURngJPNYisOcVtaaJRMbKk+ycXEgCtWYgf15npn0Lm4u2oDv057krIbzLyJP7NLLNGbVQyf8mFIhc1MW0+KDOdTiAMLC9wmBa+Z5ho53M27n5DVBCCFc8sbIgPodPAgcDlWQaDzm02wFQEMinZyMsjlnp6dtVgM4OcYaCl4PnvlzWdbKpTO9RT4O2sHYawTbCZ4RFBJqCIXFAYBFiP9jubfMy+Yj7ylyBLOei670LaUVOPxYNW8uL5+ZatWuVj3ouELX76uFYve1D972nry/icsRrGz3rhSbahFwtosvpNUK8a1K2sUX67vrF586VK2YaOyh63pweOztto/i6bYtJc2mrT9nXZ7KDLWiRaYzpB1swG4l89C/BH4mvlkEjqkyZKvgLqA5cG5LJMQnrYpm1/bXPkv/sv/grbj/+Hf+/dMJVNtrtEgbNg5o8NN2TZv3dh64frueNTnGZiOLNtCjJNVTGigTzvTs1776mru4uYKjX1Xq7mHp/uOVVJcO3YmrMiON8SEIteCEOdKs3nx4la9kmPZif/5X/7kzgePSHkm3HnnZz9jaThSV2NXFldp5PK07iAkhckSIqvH06OT0xhzCjxHI2UnGt57iuw/2T9lCQRt7uWskj2K1VnUGj086416rmHThWOlSqWFu/BGsxE6Dg6WbAT+1xfjicPCYcT1V5ubBOnp7Fcplz1W2Yspw2fBVrBbKtqlgxkMjdonrIFAPzw4ZDxpdCOlzZ9xCW+QQNic0JpXvKtUJLGDfJPuhysgC67CPfh76b58L6wh6kv+kcgKXWC4icFs3huTtyqHi/LC2ZbyLpkJlB+Mg7DrBma5WKnbwag98KbVWjHgYca4NS5UNGrFTMVWmhmlYSvI85MhS3xfuX5h7nkYRlYlr9QK2YG3Vi/V7epsZXy6PtnrO6dKpmHHxfkYoY+AQYHR85T5VaAknjgaaAsOOrgVo8BwYGVjECx8DEwy8T59vM+qPoQQWbTmn/7Tf35y0sJBomKDTFN6bdAOqF4pXtlev3xxg3WqwYL1hDJx+hViXuhV8h/wDZypvYhe3L1McSgAymu3rqLBP3xyZCQlWnS77oB6CDS8P+vvrFd/41tfW8kWVDoKh/NyTr91fbe+uelnSwfdYbdPgbVHc/UL9dpKpTpIVwjEnsRRwp4ij6tSWbFyBnLNGTo+LS88p1zME4WueKren9Q8SZc7m07LuYzDKgBH3U53uMipuYZVLOdRTECXGJkE2ll2QjVY3AzRwopHMvel9VBE212VpniUPw8nI2QQEziFhWRRdngJ5cRqV4gi1h8QeO2Lm1A7ZamUdaC+bGIgC4vIe7wMJBA3gHLDQMLQFHbmlOLBs50vJgXAQAN72xoB9gljCf/xH2g9DiRrR4Q45E/7kwft7lop6s97bz18PH7nU1qEzlm+puNkZmQ1GGh6VgAZto+VbFEPtcPDUzI8TztDWhhdnI6a2013NlzN18rlDawUWZCrP6fv5KHj0l2NypE0XXIBXHlp58L2Fk0IJMCDWJYl14nVp+vu0lvZGU5IDDpp94+6Y+6VSk4gnP/L3/+vWBmpXCbzPJkgt7n3MGjkWf9wvIimV7exRSk7HEvpmixcZ5wdHY0i2p7Pt6r56xuNSiZhFRDm+u/95tfr1bv37h46LFhZxNvBvs6j0lZqWr1RBtBIRizHpN9++WaxtukSFbfKmcbaP/6nf4yfDJKAbmXG4hxhotH/VbIMFpTDOgZ4gxqzBBEBqToiR1ML5JeM52vZYpNVL4is0TANE7Jgr+XVydQ9G1EpZCgOqysxQ13yjZC6Jgljls0w5HPWeDw5PnzI+tFgQzSoRtKgzWT9kjlPpVAHTgSeJs5gjATvKMNF2zAZiab8ahWWUjwlevpOeCiVQIJPPF/vmS8xLcBasIEQPDhXYrOS2cGVCeeADRKrpGhDeu8teQdzmraWieJgiClzJXM48z847dKQyVPDwzjzrDczKw3XoQ3jbMXUn7hGZRxlwunJqO97Z/lCfeaoJ6ftbm9CeHLfcUt7bQKe29nWhWpnNAm7k+jj4+4eIt0wXXxwwBwQoSRZa65cu0r3tzXaXeMNIHHJUiA3czYcHpye0hq1c3Y0JmePzlckz8WLiYD06CYSXlkqmvRAIqoYEbQ1MynKBXukdfLco4pAKgqYYWTSgF/ykab1hj9fbWQvrFaNaCRV4xGrZxZfv7G7WqzRd6e+XSMY9dOfPiXPg0aERC3IQQymNL6wYzc7ZYacDfZ6Bw9bneM+nRfIdU0qTIXOOCD8TZtHzw2pPchmp1EofXZCXRroGRYhqTytZXvelmpfLtZyCoQfkeeUUwxv7LHmAf4SufVx0V6/cfVn9+/RIwgIkgmGvUM3eHxQbHUMZ7F/pH089h7RjHRBXZa2KcpCqniu/f4olzVLZNbaeVZMlD49SbK1tintXb64wQOQWySKCB0UGfvBFVKdj/ahRxmyh/gAXh9vBPclLZ5/BH4WlYdegK9wniEV8pYyGMq3scvltKlKFJnGRA3jfhSCBn3/SeveUYuKiFlGdVhtBKCKjvpxvuuE0+PZoXcMFUmdYnldMzuniG7iF6eaTs5voNt9gsp0sXbj9nyGmd6dxIe+duSrI3JfMjmCWZPp5MLq2jfe/Or22jrwHAqX9BDAe0CRqTN6uLd//8HD0/YJ/QiXWLk8s1TCErvDcATmZBgEYiRXRpAJ7ps8JProMiwqIgBRQDhuQVfBIKJ6oVgyDZztRtHWE4doHn2YKGnAW8xptMuNy81CbbUwGeNXTb3JkH6FlGsS3h6F+tHJ4O4nDx8+Oj1s91s4OtkMq73RhoZo/dncL9IWnTgDbaNRvRTOx1GuADjPvZpQHzmCSWIEyUqUuWqXmoGxvrX19mjIknfMkjUTIadhv2xXy4+oWzs4LZo5ZgtOEFURZN1S5Y2nm3a5o9OfIpNIIopsnD9FhgmpRih/FDCrsEp6LVVjEph1KTcrgMn+CgkkY3W+CfAPPwLHPf+Gs/7clv4qyk0kEXyURroEGCdtAnlHnZcwD7+JNy/MSloLaLwUHWiearBawBAzgfUuoDqL0QrQl6PCh4wtjNOT0Mn3WbQGaxgTkhMZpNOQCGQTqyeAhHgJw4rqmwnrpdMlw5ir2TmlC6RqkFZDVbmWvbDJig6rLOsq61zKWmZ4Z0jB6Pis9eDRw1ZbWhoCPFKTQFuZDPeZgHtTtEXPSew1+AhPhREQIINzUrtJGf1xe7BdJ0O5kM2w5HuENmQm4/XKSl46SVcE1VLcAusAGQM+Byfh/YMumKy0jfFEn+5h1DRRlnd+/N7/8D/99KDrdU+RewrkM0pFWpRzl0hq1CMTWBI+AQAcF3bkOlSAs3IeZgi0x5jgWaTtzNhbz69/5+Uvy8qppPs/Nea0BfWiQkRAlyANY0jHVfp7nDkUq6KUcJVZUQUgXtxs6APAAYWFVEggISRb6lQL7VA0BBYjVmqmP+kEnUrr8K31jYs725z8VxjRYlbLyXgVPpdTfGGTC6XqTP5NzSNe5c1n34tlBLnEcmdyyvWly1NqhwuFxGzAPiFNZZmhCpyEbOA5kKmCCACu4RjpNDfR2nPXmhNzhXc0Gs5JjiGkRChQJc4JmDtRUIA8IiEAVhdRVsW0cuV5WWvYpYrq1pUrVbBjZAYd1zkYbaupo8n48Pi42x8gpqUGEx6iFbK2EKPNzPZjahUkJV7SJ7F8RFZzEIRUJXeLhpUeKw/FQRnP0CYajxiULndgvpQ3aQJhIL3YW9AoSrDytjaZGqxOk6ccHvuBttpYWehDlpcvsvTdh4/PpkrBIaNTpxe3xoxjaQoJdNKZigpAougG67QWyTsFMQG322AxorXmwckpgVDgosG4hwrKUTEbBq3WcbeL1zc4Ytl51mWjnTQ4C8+C44DBa+fcCVxKJ3vRU+dElTYYaSrQOYnhppR7hDrnb+gXQ6shKOo4tKvt0yiNUvkvvf4Gxux4NHzeH+i5WOE8oraImsirpMoxEnCACCLEB6jQZ4yS8g2040LCxDLgog5RbYh+kTVs0ncpZTlhIPmVV2gI6zBDiMSIKyT7k8klS91SXgsUgclBhb+QNGPSuo3ZhhIl2oUqEd0ou6FNOLOIxlkoVZuYxSybQ34B3IPbzkpP2F5X1uoX6iUSRyXJlu4n6X1hkFKuwB8+muS/iESkfTaZNaSgJnGOIIg8WMrRsKwgSjxemo6isUIPvjPpOuM53f4AnAm/8fCIRXQRoDIyR7Lj0XoLsFJcPDun5LFPQLGzesFSqPNLdPLYWaCc1AJFyovVIYvY5C1SthgI0ssAKRxy8oEf4AloT4A+V/BNO8x6tBO6cvnC2loTjIhlX8vVOqDyYmwgay/U6xjt73z6Ho/j5Q2idTOJ0YDcGiV1gYkNRM/ko8CelAL4RfIUBHxgTJg+UEmmSiooeOLnnCPvIBviHxktdGe8KCIgjPDGK69h4ELgejUNZciez7eUPYTk6QabCjNh6sgFUu24ZMvnu4v04YKypa9YGCAuBOqWbIQYFLtVOCDFszGZ+AVZgR+FmSp59Og0PDlWJYvI9yc3M2VTFtQhiQ9Rg5EogSEWaSFASIYGfjgpUQDZBK8oJpJgMr3wObuobMYb3xSGIGs4omQix5XITBZAGnUkc4A6ZXgOwJ4mB+pZm4RV5gYUp78OdhsRDLwdqjMRocgAgSMZQbiU86cGFKE0+uJQr8mSZxUMwwKLrHBWXAbOKuYf6aAySyThBiOZhMQcnero+0F2M2yk2AWgPvoFkkA6nEz3Pn0E+GsX7bmRVVkESSpjFXwUlk9mkgiOT9s9XZ2wRF+0qFcqOxe3tnc2o8DptNu0rFypVRndFVKBQu/NF148vPuAdl2ApJRzYGiTEEfEvkfEIopt8qetLE2KUF1cnRUhWa8KGUoDdVlDk9nCyAr55DUlpzzEZ5tkwoAXMXclgknNWKZRr9O3FeNkY3UN6bZUPlAT6jKIIqyY0HzLlAVXxo6B6wgI4PQz68Xf4vyimYT4EtpMESm+llNI2SKkYiEflP+c3B7cTv5jrnIXS3biJqXkRYLgZKKKAYFESfsliR5kH8kz5/Y5JrWbIItKYQx6hMMwgBFR6R1IZJ8nJ0zCWbgVCYkuwE35WfLyAdWw1gHMdZqL+/AWKFgs4lRCMORVURhDvxfcmtXGGskdpLGyqBlLITE5sRhKKE5TcxwaARNVk+Taai63koYWvX4n7PeifJaFKTHfaLkmvicWbjAjJ0Ama5SJFmUkkF6/odQbIRG9ZE58UsndhNs05U8X7lk/yju55stv3vrzO5+2J4uphk3OUwugr0muNL0qMjS0Z1kCan1Eic4Xa1HywYNHQImj0TSfI1DvT8ZD4hc3VleqpVKvXnt8BKovheJUeCGIcwwxc1VLqMpAqs8UgwGhGwkIFiOWZ9E3AxMAZpV4guS0I0whlRgWKQOJ7EAu8DVjL3YJIlsial5ULJa5T6IyaGNps5XSA/5jdEXQQDhRQVAF0wkzxnfSNstkoKO+YUcR0ql/kl5HOIn7ZfohGpnreH1EgcWCBnaF7bBERX6lUxgPMX0nZCRpdbnJdeSCwkxwTapnhEM5HUzJPOZbBlAMWjFMZB7xi/wnN8tDS3hZjk+5GiLAULgYsFvEglkUqfCFwFQcpbBK294BK0PQi6w1n07Bl2ssBrW+RvJhSMAzhdERQ8BcL9+8duPKpT/5kz/rOgHmtU0i3yKoZEvb9brRLBoBa1NSioJRRHGDpDaJ3SdqX1BaJCMtXsR6xkwi93nzerGQiYsUsN7Q7IUDgKHqv/m7f+vFv/T3Bsd3Vmt/Phw7rHSNvmROkaMbe+EqoGoh36jXiFiAVkJbhMpph56IHews+mwQP7xFJ8PZiJ7lD4ZDsn92b99+eNYlqVLiXohWBg3BjjOh6z6tEGEGytxUmjjQ2J4SIfQEooPJLjSXTV6fD7uQX4RD+oNQbqln5KNICY1Fs15/+ZUP73zgUJWRGiFCQBFhsgkt0j8moxSbIY1g8AJYErFXMgVIUk4liRikcl2ZHxhpwkDiw9PESaGvDHGNalLGRyC7TsZXbOc08USsDknRwZ1izIX7aDYrrC5XFxHEQwtriNaVGxZdKK4iG/ThoYFEhb3TTR5Oor0it2QTxpYxwXflbFQwUZbAipw8EAKYKDxJVUA/rF5OTJ7e9TwRD3N0uM8CBjwGQ4rpj7pi5l69fOnNN7/y9s/e6k5ooMCPihcsJtOhX7YazRqxMQNNKakRJhNQbAgIwRiS8I4r7E0SfGc1tHBZqvQ93FGytL/ZcJU6+dHrOy87p4Pdm19WspumOSgVL2SMvYJFuT0eH/61UsyVGaAJmpKMnDngBg0PEMoL1A7BybxVpJfUlUu7gRfQ/cHzlP3Q7X74QfT+fWQEjw+ewtDJTUHLCOMSOQD7WwwcVQODyVjN2aw4TqiU1bdYIJDcOzS2zEiIwd6ypTMeCS/DLD6ynE/0BsMsiv745OTSzi6yGjbEdlu2taRXLd8Q8RDHjsJLAB4hIXXSLFtP01Z4FpASUxTuSjdoyYaEID+BayIreYHgNkLKzJQ1tbnS3L2wnfozGONiDoqjJbiDsAoMJGIRZmLdCcS/aEoBJdi4V2xYmdJSJ5BIdhQbR7P7ci4It6WfILawDP/De1L9lsok2p/TwRr0Ha+J+AkCGIOJYUEALtbW1zCAxBQDQaCb/2yC4iNGmI6SlCXQ2J+kjYef3j07eEaMo06wgWGIFyx7785mh3t7qte8tL5CcQXS3E8vStYBlQvcGgxEOhILyinKeKHOFZ/VSVcUZQ3LAQddYHvduPLSrY/f+tOjo2fhnQ9a9+8SFwdrEBcT8yXBYkVFs1KzrOrVPj0mv47I4nA66XdO6Wsb0y6V2JZlAgTMR6OLl66urDTufPje2Wi6d9y1sop0aoJUBLoB4JFFFHzQr0uW3GHBTxewfru+gvXMeneMODXMJFmjiujWgPKESyEfw4R+gKDCPWIYwEDiQqTjl+qH1GjBBnrp1kuT8cRA32DtiQ9JqB5P3/UgB5ImlUJ0JgExECuLJRohFJ9oNC2Mk3pb8kYsCrmeVIpyFWQA3gdiDTs5o1MxydMIcYXM3JGwMP+LdIThZHLg/CC3IL1snGf5Bu6AlnAJ/Jw2vZMiPL5kQ6umvLT8RIWmtLPkA86UCEyOouiEmBH9JZkdGOsk3kMeHtFQSda8dPEiJ+XajMtp5viMKhaFVN880C24LJYH6DZmhz+fDZ0pLeMqYjvJOpPIFuYXlc4JRcEBTZmzrK4CEEUzL5ydlIGw+AyXerH5IlsqVmFhPLjZYJE98GY0T13N0qZRKijJWu68+/6fmM8OcwpJHzENQOBRYgtMKorFsEThV55lY3X10qVLdJf5+P49liVAf1dL9d0LO5gv1Moybd/52fvVZmPl8ub+8GGYk+RNvP68HxakVx3l11LzxGIOvpb13YkaeVU8cksj55n2WdhP8yH4GgQDl6POC0RDuCY1w6CL0FQkggh52Es4CwGPqY8p8+Dhw431jUql8vjJY2wgabhJiQYyADsAkhF/AFYjHZgnITEvo8iwpiwohTIwWcowoly4QuobC+MsuYfdlrF5eIZbQcLFqnDeUvyxjyRTylJCbFLKBkdh4xBnhkhL44p9EcH8Bx/AV0t9uhRI8BYSiMcQJhPEkj1gOv6R99j+8iKwNZgfOQkkajVY5hEkBEMFhiEVmrnL4QAsCHgQoDqN2e2eMx9yH0XbIhLFFbFcclpJCQmbU/FB8FOvSrugIiZdFLhMLItiC56SJb3FugRgBNLi/FYqnXPtk9nhw97WRWrVbaVNFT1R7JOEhNXqlO7tVOr1zp5gmA3GR6VMKW81HZZtJnIqpp/AXEwBhSXCyJxw5tuXd19/+fYf/sv/MZjPXr59azweMDS/9rWv3Lh2/V//yZ8+fPi0WW92hzOlNyYATEgCAxpBGswDH2mQ0Yp46VDXyAYg2bKWUDKddN3x4trVXdzGIyYmeCxmieiWLLqbCURuEHMbthL5nJbwinQX7ESmOzRDRjHErFhPKB2BXyyXjEoxn2oW2vqzpBTGAj4tXV1L9NzjWJb4oHRYODMVIbCCVHKziUUrr5i+wqUMpehQ2dBOEAk7kcviXjMY8js/y3BjiFCOQlCCe2FD9LEoM5E7gB9YDc7gJVW13Hb6htvmQC6B4OJ0nIX5mTIr5EMvLZEhfku/wwVLeSllXbHVkMPkqadpc5wdFcIT8aQQApiJnlgYQTrVBlgOROZJaBfjico9HMPlQmO0qoiSmqYUSWPCGydsJY2R2Ikuax6PIJoxQ7BMZqzM0oy9mMfdlnP85KjvjfRKvnh9o3ipsd7YyhlX1UYJgHxyNvFdLBpknRSg4DuKuUq7+6U7A+LFMgssyswfRW+JslprHh0f3/3wPs0OX7p149aLL9DkFaOynC+8eP1FRMyP7rxDlRxr4E1mQB3chMRqaB5F8BTzRBJX9MQVY0AxbOXCem1ztXbW7hFyv7xWvnzzOnMSViDZeohtPHNZsoHBAdIkLwcfCD9AxjElA//KG5k7wZ/92Z/9O3/tr/HJoC2ePHz6H1QQ2rNh61N/QDEZEZfUaF3Sh0FaGkbpeAkPSSAxtbmEgSCMMBUqSiSOaFQoI4JkyVoMsygrdkkljAYsBUuhIpD8IIdcC6mDluTScq/pBpH448aWm5wolXzPv5BrC+s+Z9/08twRjC4nYWfuT+6KHUUqwovylZhLBFOkBB4Aj5I2hCvfibWDAaIRqEQUMW9DEGLamgYZ1soRnpZuBzyUTEfhF2FlNBW8LBYDj6ITuC6US80795+eDnqBOZ1+cOwbIKb61Wvv7lx9kf4/77z74VErMHKWFFY0MOtMltHllAymILfYQAI/cb8qqxq8/9570+GUlqoEY2qlMtPyJz/6AXcw6HclEOjOWVnn5StXnhwcDZRhpJtU3QNr4k/DOkTMAaN40NSHoA9YJldk0auqF8Qk5FzYYjGLwou7GyyhMnXnqxfWlczu072juw+fYPSRvoL3CsQOHgBwAkHTgRVKYiTwuMetM7KEaOJhsCidEDulE69437AkdiUkYKphOIASQC2IwRPKK0fL48lXvAoDcVqmkMwioaTQB4MDj0mowSIiYlxyBvaRpDNpBSyZgilqwJBJ2Ajpmmpi+Al5AcPJleBBrkH+keQ4fmETjn2+cTf8Jg6k3GN6mfQ2+C4VefINMup8dzHF4D6wkAzmDgdJkhRrI8HTsA4PTONs7pWW4ZqCMMbJx9xjiRxicziXXBdeBkAS0bhkRp5M2JlWpsJ9RLhRj0wAN6Q9AekyhPDz1DfAE4Qz7/74vbf+/Keerkxi1VPNkEUG1G6lnMO+YMUROS8NDzhY18igpb0+yLtUMu4fWPky59YtUkVcZt50PEjVNfkdbl9VWBoGxw3IFDAKrS1dE8DBGQQiNIjGjKxCjK4i1417HnmqfzqyjTGdHohsVMssb5eMu6f4qsViRaEyMnRreWvEupus/yROCFcGO4MgKQ+kb3h84SF18cd//C+/8+1vGiwsL1NKNsYH2nJ7YL9IdawURkqmtpAnPcWSrsJAbCljQRwYBdaRDXqmYQUErKBvWGiiKQS/TH/jPCDCEFToLuKBqcHhYishrZBVmDAiseRMbDLV5Y0wxpJBOI7/lu95l56UiAz0ZhMRKAoUd48HTY3x833SyS03J1eTeLOZxRBHvsKwDBKRKcjGRskKyAhufzGbreazvFrcZjzLUoANH6drN9GQATOFM4oEw1bASItNljJEarE2hkFsnpBZotVXcqwX32YhMU/3x/g7yoXVPPWLbTc5iyrHE0rZKZwc40uB2CBx0sFPoXXqb4p5OgLw9Diz3tTRvYQF1Se09nCw/x7cvHl55swwDLBRySPEbM0Rex5LkxL6blOUlJpti2w6LQWYY70VkKEkwyMzMiwqnFHCokeuubO5vnFyfEx1/UatlC+VMI/J1rhy5dq9p/t3Hzxj6ElMpn83JhJkFYmbTl3RT6xsP5EuMe9/cMco2LKujHBGulHPAgyPFBXzFGKJDbFkQNmBzxKXEyIKMSFc+q2QmC9TXoNQGAZi1zLGol5TaSLn5g44Rmxj7CZ4FSA6vTFkv3CAnBK6pACXyLH0nlMWkGOFXWRjbgnwk154yRHchvhY6W2lXwvzyI3zLX/iUaZ3e34KXDg6toGQCINraq2YqxdJEBaFR54PN0u3L5ukSkIbYhv60jBHimQoUSfcICCePLkY8fJHvGnek2VoAhwn8fd9enHHFXt9u15yF3XVYumc0ydHmk38dQx305ixqOr5hcbarWiGjAWJ6QYjQBMBEUwfahrpiZAj+Z11SZAlpkG2oTgILN2T0Xu9IUsEiQTF2QnjfKGcazYoRxud9oEAKo2qp5jSfBxbXaJ44OJErpjdKBmD4CvvEPWUgwWTubnwDzu9N26/yOIbc8DtmT8Y9VrdPtxP02PC7OBJVF1CX0E8+Es3GXkmYQi8pNJfejh8YtgFVmE73yADB8hgpX4x8AyDJQJKqCusAhM+pyR7yVta3DHoMqTySQZavD4IikzBik49MX7g61RtkT+CUsRmEHaS3eBPNLYY2nJp7nt5o+krNy0MI2z7hY1wCuzHDpL/lHYngQ/kVHICuQO0Jz9jHYuJzy3L4XIGGJyzmRjArP7EqZk4xD1BTQwr/V1RyzIU7AUrp1YOM8Eku8cEnBNOlPMgPQXEFY+LRyHRWpvl1fBkPqc9uKMP6JkXB2ulJokXOIMbW/XLX7vkfXX74/uffvzpbOBEYJK2Oae0E58bEmmxdChFxZG8geiipgD/kmQrIvFQ3lBjm4AqfdHoYpuo69sN4i2gzXJ/qlIuV0u1aqs7GLnk3ucWVozxQW4PMRhmJBxJS2C6fqBHGN+shJRAf8iQ8GhCj7KiDfUkTPqR/qQ7Pj5kGZa+mLwSl0yBe2lFRWwZGz1VWDw5ekawX1LtZJMUCfSM1GkuFcBzCqWYY2oe8oK9khJDhnXJQOnr8uPyG87FxyUzCfek2/OTyb8oCHngn9/4fnk4NIHaX9xfbiDlV+SZ8Almi1D/8w0rn4ty+LmMOj9Vyj3pc4pk5Gdhl/Q/UYmfbzCbnE9+4RWGQAYIZ3y2B6c9P6UwsFwc+4YpsrxLOU6kFfOQWxNLyy7nN9T1QkOdOUlLOVXwv13qrakSZNmSoV7pV0vGl37rt770t5sne6dvf/Dpux89oLJRgHgEBRgcED7CjimLtJAgCM5ggN9C7D2XIYTMSqweTVvoNF2p1bh3igWOjsfg+6XS+O7dA8LMej4/Go4Ruhb8w2ilYyNyQ/DrVHxwu7jzary2sQKuoSshuapmzWZJlbfvfOI74bA7YNhZ34ungjWx9GAdjpZ+mkiQXF4CUyDs+oJ8QhkHGQ2ECSen3xatJL6w8TBcLnWECGkKEWW00C0po0AWOCElHvcnmxBKyCbb8jSp7vv8jOhLOUqQG9n4l02O4dvlsSLAPt8QvJwv/VFecJm/SF35Jt14g/jhBtL9Pz98eeIvvoJ5f/FnTv2FX5ds8cXry4/L/VMeQzOxpUfwIrYbOACDLBEfyJIa4ACX2WIuV6ySDUa1BGsGSN7asD28dzJ67O7pqru22fud3/trL/zWa9VXfu3P/9P/TY8qV5I88XCw3gkWsfREiN8E+Co5LNwhYcfNTcoJcMnyFSrXDCNH40zCICs13Vi5fjUzHLJAIpmQEYlmtFktIWFENUvBpMwX+gWJtOBJBDMD7AHoo7PM66/ewsD64MMPD47bii5LGlJPq82jWkFWY0VGYaDgo8HKPCKqgdMh/0GhYGua3QjvkJYkgocdJSaB9DbIFVqO1/IV/QJVlu9TNxUtk47vc/5YfoRxYD8xfp9vy2GW1+eHL39Bzyx/4kmWb+R7Bl9OyJ8Q4vx6ywOEwGKy8YuwZ0ru5S/pcfLVZxvffHa3z4+G1eV87CP/S1Qkvf/lz89f5dflPniDIvM+31K1KFfgbpcXF4Umm3wUAwPpIaRPR2ZBHQBJefSbE91RwPDWLDw8h6bSj1rff3CsWBmWYvLe3/vnbz8rFKt+5D3pjceS1gKexhxAe0MS2JROVjVZI46aiRAD2Srms6EzzQDkGja6hBw1cG5sIxiaJafLhRwaB0ODxS5omuZW82gc5AKPKtEh2r5KmwZ+R5yRLUl+C/ItPj7Yn5RLBFwpxWQu5Eo1xqBacBp5nbVDSM6kNyGth1hjiQmAX8q48JQQTqPDYhKz+FwOSC2kk1qChwmvq4kvsMb5AMs/WD+w3TlVUkoI4puONl/LsDOsfM/w8pJ+c66e5ODPmIwPzzfxVfie/59v6WmWJ+OtnOqLBExJu+SdJRdxTX4XUqYbZ2FucCCnTE31lM2e/yp3vmRrYYH0W+bMZ7/yZvm1/JpuXFum6hc2pDW/8EX6mFKllD6pHJruhUUpT4L+4anwciX2zxSAVJGD6KajFLK+n5iPe/OzBeo7R6gChbC3f2roZ4gEfBiPWjWa0WEQUbNCCl1Ax09j+/KlwJmc7D8uF6zLlzeozKT5Lzug1kROEcGCjckbIbt+RvIyJlbA2qksBUYbLmQWrIi6IF8KCwqGWzKTDBY3FkayHhLd7Scjon6UfrEoLn1kAgRVGF5eya0W9e2tlbPB5OCsj04U6SVBArEgmYX0smOwUdd8zQJNJdss03wY5z0hb20i9mw6v2QQGKOlCktHSuQD7CNSS7Q+6lTouhRRDG66SURJBpOxTP+TA9PRX1KPy5OPI/6KxLagt3guCKLPSMpdgkPLbXI6+UeUnbAiWg7GTr9L6fecyc9ZkYtyJWk8SyxkSe/lPafXX55MdBwKDn5iHGXvdPtsZ25EDkHbnDNV+un5nuy23EHUvdyvPFB6g/wioAPiHlYDEJkTDpV2gVTsLOg5iAlPJ0GKQdsufQwzWbtEMYVlGwSkcWrgN/wF0kvJryAGR/AFnoAFODPAAiVGpMBcv7i2sdYMvClL49DvkzVQqXqEEuTusA4DzWGRMgTrsI24JcrSMLeW48RjS7cRelcwdpBTbpdYik45e8muAC7TxXHiDWmIRxxevEAsnjjZXFu9umKbhYp21Nlrd2ltJo0RxYdO5y1GguTSIIpI1BG2hYHA71G//FHPtMwnliFk6Hjl+un7dMQ5iBQtQaWFJMsNerDDcmP4IQvnPuef1DySCSsMwi7yKrIaiA7iSUQFtx4wKKWc0IsTEJc8N+yX5+Qq50dyvLCmEG65L6/pOeWw5fvnt/H5DlyHJ+f75RveY0guD0/5R174dckc8spkOz/b+Um4gc+OlScT0Izv5LGgtTwuIBnoDy2AoTn+EhMP0FU8Z5L5Q+hCAuAQGIRboDhDIEsFawVYl6fhHChBguXnpqemU33GSUu57MHek0lvQhUt6ongJGQidQvTB2VJhwMECUoDRYQ+kOeR8AfDiZssjqEYXfJUYkCJDyFDdq5YCCylAoS5hrOJZ04hJHpKUEYogoACTlxfKbEEVGOlQRIh/iC5TKhBgVs4kQwYH9BWNFwUIdgbzOvlAqY6qzew3KIYblx6Oay8EtTm45JQ/IuYxVD6jCP4SZ4gnbNiSKL+UqGyvBCvbEL/lM7LV+6AR2X4seykhl6cms9VBpxHMJcxSo+TQ1NMT87ArvL5nB2X5/6VrzzmOe35GZ5YbhzK40B5PsoYpD8t3/ATXy6/kQPgamHN85MsD+FrBAwPy93zmNLHFN8kJRzWBntzGMV9bIjkdKARPDHlpwCOmJdElnJZvZhlVZSplcYn4AZZgUDT5yx4wbU4sagJjWas+Nxkw45ZlYKW0BfXYCBMiax0ZFayWQ4B9RmEtCcCCKR3Gg3drOUYyz0g1SVj71xIwrTwkATm+IIb57nk+YVSwvcMA3+kHRA4RaAIp5EgwuIvM33kTbVMgUXSBJtPeyrJqDGA2ENSJCdnEtyMBjqz+OC4V8jypZR3YAkJl6UjKIPINdMRYxj5IL+Thcg9LYeeV0GL0+FmD6G7HC3/LHfgl898rOVufP/ZxtnTezknlRwsEhwVxsmW3MKrfCt3IsYNbxiK9DLy9XKTu32+8fPzt8//RXPxlhMi/Hhl1n52A7zhJ079OQPB3/Ld+ffLX5ev6bHCM9wRCuT/19XdtjQMA3EAd1qd1XbaOSbzAUHf+P0/kPpmL4YgIkPBB/T3T8SBpYxre7vkLnfX5HJNvOoYLbuUtkAxo0BUKQcSJmdwnq6pqXT9FKY9bZt597GGqw0+t6WOGkKHO9Ox5iMZVNxYoq5AYyxfwM368c3VwnCJa+BrfDYq31Rcxq5NmsrYmzrw/5mGiXBSKK0iOexiKydNwUq48VtkGS9rgCUyXWwlmVjxqlaOhaZmd/cPxztzO2tOFqfNuF2/v+E0f4riaUwyEzqLe3OWNba2Hp/tdtlMur3V0yvrSfPgLK+hBP8yNVClrwEynqcnhUzKpyzoFvxUsRy1eYAAdEgUDHAAGHG99FsBxCtcrxVYFahqEMEVtKpqxJ2rDf5/CH+bW0pUvbiN4nvCRsy72lKtZrArGgAy4cMpNc19NysXWHdZYp4ZbiEB2Vso1ArOH1FqxIEkOpXemFyIL8sqdAe24Psexj7EsAevzL/GDh1G3ZKTJ+k47MtT5nlVlhINfXt9edaPt086eUSdGB+7VYgEF9/LphrWGB/1zJls1YHnSM9MZx4B9UnAtgwrwlhmrsrjiAXIwoKUV0UmAXj73CyMesQJLpcvt+fD7GLoj6bt4e6qbAD6qzyRD+6Ts4su4gmcWfnMkh+txbdGmP0BvuVruKAQpNgAAAAASUVORK5CYII=", "text/plain": [ "PILImage mode=RGB size=192x117" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "im = PILImage.create('christmas.jpeg')\n", "im.thumbnail((192, 192))\n", "im" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/jjokah/repos/minimal/venv/lib/python3.10/site-packages/fastai/torch_core.py:263: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n", " return getattr(torch, 'has_mps', False)\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "('christmas celebration', tensor(0), tensor([0.7469, 0.0035, 0.2496]))" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "learn.predict(im)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "categories = ('christmas', 'easter', 'ramadan')\n", "\n", "def classify_image(img):\n", " pred, idx, probs = learn.predict(img)\n", " return dict(zip(categories, map(float, probs)))" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "{'christmas': 0.7468979358673096,\n", " 'easter': 0.003531601745635271,\n", " 'ramadan': 0.24957050383090973}" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "classify_image(im)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Running on local URL: http://127.0.0.1:7860\n", "\n", "To create a public link, set `share=True` in `launch()`.\n" ] }, { "data": { "text/plain": [] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jjokah/repos/minimal/venv/lib/python3.10/site-packages/fastai/torch_core.py:263: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n", " return getattr(torch, 'has_mps', False)\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jjokah/repos/minimal/venv/lib/python3.10/site-packages/fastai/torch_core.py:263: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n", " return getattr(torch, 'has_mps', False)\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jjokah/repos/minimal/venv/lib/python3.10/site-packages/fastai/torch_core.py:263: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n", " return getattr(torch, 'has_mps', False)\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jjokah/repos/minimal/venv/lib/python3.10/site-packages/fastai/torch_core.py:263: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n", " return getattr(torch, 'has_mps', False)\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "/home/jjokah/repos/minimal/venv/lib/python3.10/site-packages/fastai/torch_core.py:263: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n", " return getattr(torch, 'has_mps', False)\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "examples = ['christmas.jpeg', 'easter.jpeg', 'ramadan.jpeg']\n", "\n", "intf = gr.Interface(fn=classify_image, inputs=\"image\", outputs=\"label\", examples=examples)\n", "intf.launch(inline=False)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 2 }