BIT Algo/6. Zajęcia/Zadanie 7. (Największy zysk z k zleceń przy ustalonym minimalnym kapitale).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Treść zadania"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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lKWuW75FjB0I0NMsnY3cRLj2Cte0GTUv5WMrHriRMmQRIgARIgARIgARIgARIgARIgARIgASiI0CFcXTcYv7UqEFLbfOAP9vi5TLbxqdURIFiOSyzOnLwpPzy03nLOFw8+ZPIpg37beM79KgVsWLRNrFYR6gDB/MXtj4s78SPv4dUnLtZvBKlc8pNWTNaJvnbyTMCZWYsA1xw2FkXY3Eh2jZbs0Exy2LD/clWh1bclgk7uBjMd3HG6zPIg+0rO0idj5IACZAACZAACZAACZAACZAACZAACZBA7Anw0LvYM444hyWz99u6a4DSqf1jNSJOM9IHtm44KetW7pWN6w7IqV9Py54dSsubHOAvuPgdeeTkiT8sk4Ui7/ff/pYst1grLzes3ienfz9r+Sysi2vUy2MZl+IX/xNZs/S4bFx/QL5XCu5ffv5TDv3wi7cYuW+7SQoVzSmwqLYKp//4W878KXJtJqtY968hn1vyZFbK+tMBiZ869aecVq8rszrkLlbhu7U/2CZdtXb0LkNKlMltm+7+fXgf+WzjUzTigsisKRtss6xWu0hYLlZsE2AECZAACZAACZAACZAACZAACZAACZAACaQAASqMUwByRFkopdPYocttH6nTuITkypfBNt5JxIIZe2Xsp8tk364TQZM5cfwPWTLH/jA+PHzip98Fbiuswu5tx6wu62tlKtwmoqx24xmmjNoiE0YsF9QzWIDy2KxA9r8XitvffzunFMbp/aNi9vuKy63hQUH/9xm4b4hdWfbtvLio4F/Bd16YKe+84H/V+e9TvwQqx52nGl0KMydvt/124JLjoU60Lo6OLJ8iARIgARIgARIgARIgARIgARIgARJISQJUGKck7TDygtJpl41CFQdmtX/8rjBSieyWNUnH5e0XZoRUkEaWqv3dJ36yV8TmL2Tt3sE+Nfdivpq0Uz58Y46cPWPvTsO93C6tlODu4sRx5cQ4rQa10PPFuDW2tYdLjryFrrWNZwQJkAAJkAAJkAAJkAAJkAAJkAAJkAAJpBYCVBinljehygGl24ThK21LdM/9ZVw/MOuDV5bK1LFrbfOMRUQwy124u0jxoFxP9Hl0pu0hgylengTMEO4u4PYirYYl8/bbWheDSWtaF6fVpsF6kwAJkAAJkAAJkAAJkAAJkAAJkEDCEaDCOBW9sgkjNsjhg79alihbzhvkoc7ubmmPh7LYsnJxvvhsp+myaumeOJcisbOHuws7v9SxrFnO3PE//BH1mzJ2tW01S5bLLaUq3GwbzwgSIAESIAESIAESIAESIAESIAESIAESSE0EqDBOJW/jD6Unnvm5/YFZLdtXkutudK+w08dtC8uyGG4w8hfOLmXK3yrXXXeVLsDZf87LxrX7ZfeO4ynmxsK9mvumNOC1ZWEpi2H5XEBxKF0+r2S40vPZ/KEOtftu7QF1IOBx+e3kX7EqItMNQqCgOnQw3mHTmp9l8/pDtsVo3PwO2zhGkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEBqI0CFcSp5I+OHrZQfj/5mWZpceW6UZq1KWMZFc/Ev5Wp23Kf2B+vhgK5WHSpJl16V5DKbFtL60dIy4dONMvjdBdEUIVU8s3/nnzJtwjrbsmS4Op1071NfmrUpantPOykn7724RGZMXG97T1qIuDFLesmRO5McO3QqoLqZbr5W+r5xr+S+9aaAOKcXcuf3LGI4TcfJ88HcyOQrmEUa31fQSfJ8lgRIgARIgARIgARIgARIgARIgARIgARSlICNOjBFy5DmM/v56L8yY7K9wvHhrtUk/dXuYVo0Z6etchoWxR+Pby95C17jXoZ+KWW83l7Jt2/XT1KxRspYjc6dvlHOn1OnlVkEKPqGTGon11xvEclLAQTSpxe5Mtny2j/y1M9/ym35s0qOW9VNl1jAosOa5fbuTGo3Ugs9V1xilWZ1SIAESIAESIAESIAESIAESIAESIAELmkCl1/StUuQyo3+ZKmt/9dipXNJ4wfctVD8bu0PtmSe+b/GMVUWI+OsOey1sHDvkFJh47oDllnBwvrl9+6nstiSjvXFy5UuOEs2+/e6dZO9ywbrFBPj6ldffGe76JDx+gzSuHmZxKgIS0kCJEACJEACJEACJEACJEACJEACJEACyQSoMI5zU4CF4iyldLILrZTvYrfD8aOBbgOQB1wKVK6Z1+3sAtLLXyh7wDXjwsqkXQKL61iHs8rl8K+//mmZTdFSOeX2ohkt43jRnkChovbvdfmiXfYPJmgMXLskfb3NtvTVaheRm3Oyi7UFxAgSIAESIAESIAESIAESIAESIAESIIFUSYDajDi/lrHDlttaKFaonl9qNs7ragnPnVGK0p+sFaVZsl4nGSLwRBGtNXCJMrkEVrxW4fTvZ+WLsautoly99uuJc5b+dpFJrjyR+drdve2Yq2VL1MTKVLzNtuhJ87fJlvUnbeMTMWLhrO22rl1Qn7vvp3VxIr5XlpkESIAESIAESIAESIAESIAESIAE0joBKozj2AKgQFs0e6ttCdp2qWYbF4uIEz/9IbC8DSf8cvxfWbNsr+2tF87bWwnnLXStwIrXLkwavVpWLz5iFx3z64cP/hJ2HniHO7fZu9G4cMGeQ9iZJMiNFavlFPh+tgrwFf3uS1/KyZ+sYsO4lgoxzpu5ybbgJcvlllIVbraNZwQJkAAJkAAJkAAJkAAJkAAJkAAJkAAJpFYCVBjH8c2MHbrM1rq4et0iMVE44fC8LNmtfc0eO3RKVi7ZHxaRt5//Un47aa9dPrDv56DpNGhSyjYeysXnHp8sEz7daHuPOeLfcyIH9gbPzz+hm7OmV5bEN/pf1r+3bToqe7edtowzX4RyHUpQu4PzcG8kyueQGab2G5TRuD7kzSbs23VCOjQfIjs2/mZzh/XlYe+vlcdaT7KOjNPVTWt+ls3r7f0yB2vfcSoysyUBEiABEiABEiABEiABEiABEiABEiCBsAikC+su3uQ6gdVJR2XFkp226V5++WUydfQW2/hwI4qqQ/OKlM7kc3u+Qlnlu7X7LZN4/bnpcvqPRnJPq0KW8ds3npI3+syQ/XtPWMYbF3+z8Q9sxDdsVkQmDF+pFKq/WqYDJezgdxfI+GEr5KHOVaRh09KSOavvrX+oRz8bslymT1wnZ8+ct0zH7iIU59lzZbLMH3k/8+g46fN6E6lYw9oS+pt5B+WD1+fIieN/2GWhr4eKD/pwAkY+1KmsLJrzvUA5bBXAo9P9n0rhEjmlQ/caUrn2LVa3ybED52Tq+DU+73b257tcPwDSMvMwLgbzO47D7qrVKRJGKryFBEiABEiABEiABEiABEiABEiABEiABFIfASqM4/ROxgz5JmjOOEwr2IFaQR82RT7Wu65SGJf2ub1M+dtk6ti1lklA8frOCzPVn0ju226Sm26+Vt/3y89/yqEfwnfVsGNrcL++UNh2ebq2vPjEFMtyGBdhxQzFMf7cDmXK55X1K/dZJgvF5jOdxuu4/IWzSsbrrtL/P3LoZERK4J1bj8o9Yq18t8w4wS+mU5ge791A+nSbENTyesf3R6V3lwkR1XbquLXS+L6CItburyNKy8nNOJRx2aLttkngsDv/xQ3bmxlBAiRAAiRAAiRAAiRAAiRAAiRAAiRAAqmMAF1SxOGFLJm9P+h29lgXqUbDPFJMWR6HClAQb1x3UP9FoixGulCUQrEWLOBAv/seLh/slpjGNW9dVrLlvCFkHnt2/OTlEKnF8OYNB0QuhMzikrqhQo3s0qNPPdfrtEsdLjh76i7X0400wZVJOwWHM9qF2o2L2UXxOgmQAAmQAAmQAAmQAAmQAAmQAAmQAAmkegJUGKf0K1LKw7FDl6d0rgH5vfhuc7kh8zUB1yO5cFPWjJLtFl93F8bzUKiNHbYsZHK9Xr5L7m1ZNuR9sbjhOuXCuPerTSRdemcmq/CFbMcSrhmmjnXuWiQW9Y9lmve1Ky4vvNvMMVv/MsLKON4K+GCH3eHQPxz+x0ACJEACJEACJEACJEACJEACJEACJEACiUqACuMUfnPzpu8WWErGO+TKl0HeHNTSVtEZqnwFi+aQz2Z2k/8pP792Cle4vZg8YnOopOTZN2pJ9+fq26YTKgHkf/U16UPdZhkPa9jn3rCvg+VDpotVahaSifM7SqcnatreOvCd+bJy0RHb+Es1okHz/DL6y66S9/YsrlQxS/brpMtTdeLqkmL/zj/1oYh24c4q+eNaPrty8ToJkAAJkAAJkAAJkAAJkAAJkAAJkAAJhEuACuNwSbl0368hDoNzKZuwkilV4WaZveZxadS8dNjK2gxXp9PK3ZEz20imm0XKVctm634Aity8t/udVGdTsladSspXK56S+k1Lhl0WpI+yz1urnru3lE3KoS9DsTlj2VMC5W+4AcrLF/s1k3eGNZHLlCfwZm2K2rrXuDZjBslzm4KVBkPegtfIuK/byduftJIcua2t0UNhwXMvvN1Upi/vKlDwxzMsnLstqG/m6nUKx7N4zJsESIAESIAESIAESIAESIAESIAESIAEHBPgoXeOESZ4AmrJoO+7dfXf+mU/ytczN8vu7UcFfnsRoJTNXziblCp3q9z7QDnJU8Bz+Ju51nA/kL9Idhn6/kLZvOGQQKlcoWoB6fpULXV/+G4v4CLixffq6z+UZdniHbJ142FVlh+9SjocxFe8dG6p36SkVla7FaD8hvJX/hNZ+NU+Wbpwh+zZftzruxl1yl8ou1SuUVAaNy8jN+cMXGuBe40SpfPImKFLBa4o4KYCCsTHnq0tqFtaDlXr5paqdTvLuTMiK5YcUH+75Ic9P/m8W/AxDlosUTavlFZtrsJdSkF8Weoht27ZbtvCwB1FqXJpc2HAFgojSIAESIAESIAESIAESIAESIAESIAEEo7AZf+pYC716dOnJWPGjAlXERaYBEiABEiABEiABEiABEiABEiABEiABEiABEiABEjAGYFAM0ln6fFpEiABEiABEiABEiABEiABEiABEiABEiABEiABEiCBBCVAhXGCvjgWmwRIgARIgARIgARIgARIgARIgARIgARIgARIgATcJkCFsdtEmR4JkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJJCgBKowT9MWx2CRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTgNgEqjN0myvRIgARIgARIgARIgARIgARIgARIgARIgARIgARIIEEJUGGcoC+OxSYBEiABEiABEiABEiABEiABEiABEiABEiABEiABtwlQYew2UaZHAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAglKgArjBH1xLDYJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJuE2ACmO3iTI9EiABEiABEiABEiABEiABEiABEiABEiABEiABEkhQAlQYJ+iLY7FJgARIgARIgARIgARIgARIgARIgARIgARIgARIwG0CVBi7TZTpkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkECCEqDCOEFfHItNAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAm4ToMLYbaJMjwRIgARIgARIgARIgARIgARIgARIgARIgARIgAQSlAAVxgn64lhsEiABEiABEiABEiABEiABEiABEiABEiABEiABEnCbABXGbhNleiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiSQoASoME7QF8dikwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIDbBKgwdpso0yMBEiABEiABEiABEiABEiABEiABEiABEiABEiCBBCVAhXGCvjgWmwRIgARIgARIgARIgARIgARIgARIgARIgARIgATcJkCFsdtEmR4JkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJJCgBKowT9MWx2CRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTgNgEqjN0myvRIgARIgARIgARIgARIgAQOqIo3AAAgAElEQVRIgARIgARIgARIgARIIEEJUGGcoC+OxSYBEiABEiABEiABEiABEiABEiABEiABEiABEiABtwlQYew2UaZHAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAglKgArjBH1xLDYJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJuE2ACmO3iTI9EiABEiABEiABEiABEiABEiABEiABEiABEiABEkhQAlQYJ+iLY7FJgARIgARIgARIgARIgARIgARIgARIgARIgARIwG0CVBi7TZTpkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkECCEqDCOEFfHItNAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAm4ToMLYbaJMjwRIgARIgARIgARIgARIgARIgARIgARIgARIgAQSlAAVxgn64lhsEiABEiABEiABEiABEiABEiABEiABEiABEiABEnCbABXGbhNleiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiSQoASoME7QF8dikwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIDbBKgwdpso0yMBEiABEiABEiABEiABEiABEiABEiABEiABEiCBBCVAhXGCvjgWmwRIgARIgARIgARIgARIgARIgARIgARIgARIgATcJkCFsdtEmR4JkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJJCgBKowT9MWx2CRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTgNgEqjN0myvRIgARIgARIgARIgARIgARIgARIgARIgARIgARIIEEJUGGcoC+OxSYBEiABEiABEiABEiABEiABEiABEiABEiABEiABtwlQYew2UaZHAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAglKgArjBH1xLDYJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJuE2ACmO3iTI9EiABEiABEiABEiABEiABEiABEiABEiABEiABEkhQAlQYJ+iLY7FJgARIgARIgARIgARIgARIgARIgARIgARIgARIwG0CVBi7TZTpkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkECCEqDCOEFfHItNAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAm4ToMLYbaJMjwRIgARIgARIgARIgARIgARIgARIgARIgARIgAQSlAAVxgn64lhsEiABEiABEiABEiABEiABEiABEiABEiABEiABEnCbABXGbhNleiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiSQoASoME7QF8dikwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIDbBKgwdpso0yMBEiABEiABEiABEiABEiABEiABEiABEiABEiCBBCVAhXGCvjgWmwRIgARIgARIgARIgARIgARIgARIgARIgARIgATcJkCFsdtEmR4JkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJJCgBKowT9MWx2CRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTgNgEqjN0myvRIgARIgARIgARIgARIgARIgARIgARIgARIgARIIEEJUGGcoC+OxSYBEiABEiABEiABEiABEiABEiABEiABEiABEiABtwlQYew2UaZHAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAglKgArjBH1xLDYJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJuE2ACmO3iTI9EiABEiABEiABEiABEiABEiABEiABEiABEiABEkhQAlQYJ+iLY7FJgARIgARIgARIgARIgARIgARIgARIgARIgARIwG0CVBi7TZTpkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkECCEqDCOEFfHItNAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAm4ToMLYbaJMjwRIgARIgARIgARIgARIgARIgARIgARIgARIgAQSlAAVxgn64lhsEiABEiABEiABEiABEiABEiABEiABEiABEiABEnCbABXGbhNleiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiSQoASoME7QF8dikwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIDbBKgwdpso0yMBEiABEiABEiABEiABEiABEiABEiABEiABEiCBBCVAhXGCvjgWmwRIgARIgARIgARIgARIgARIgARIgARIgARIgATcJkCFsdtEmR4JkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJJCgBKowT9MWx2CRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTgNgEqjN0myvRIgARIgARIgARIgARIgARIgARIgARIgARIgARIIEEJUGGcoC+OxSaBS5HAG88ukKr5+8mQd1ZeitVjnUiABEiABEiABEiABEiABEggegIXRNo2Gi01irwv65f9GH06fJIEEoDAzAnbtX6gT+eZCVDaS6+IVBhfeu+UNSKBhCTw89F/Zdmi7ZKvYBbp9ETlhKwDC00CJEACJEACJEACJEACJEACsSIwe+ou2bfrhDRuXlrKVcsWq2yYLgnEn4BaHJkxaYNkvD6DdHu2TvzLkwZLQIVxGnzp8ajy6qSjemWoVa0Rcu5MPEqQuHn2aD1Fs5vw6cbErUQYJZ84aqWc/v2sPPZMXUl3VRgPXIK3HN53Vhrf+bE0qzpETv7krILvvbgkYdsN2jraPNo+AwmQAAmQQGQE2IdGxgt3HztwjnJq5NhS/RP8FlL9K0rIAmIuizktZFXMcVM6zJ72rdyQ+Rrp0KNGSmedMPml5Dtyc/6WMIBTqKBJ8w/Krm3HpGnLcpK34DUplOvFbD54Zan+zoe/vzYmeRuyB/LA/1NjiInC+O3nFmqlBypu/nuw7kjBlvO9206nRhZxK9P0cds0J5rZi2YAFmDCkHYI/PGrSNLX26R+05JSsdYtKV5xs1ARTDH/y/F/vX1bLNxmrFy6S347+ZecOP6H7NyW8gJoioNnhmERGPDaMt0v4l8GEiABErgUCWBbNbZXY5v1+b8vxRqyTiRAApEQgPJk+IfrpN3dn3n1CTCoeLHnnDTthiFp7kHZvP6Q2o1ZU27KHhNVTiSvifcqAmlp/pbSuprPP1sZt93H/yr97fqV+3Qb37T+QJpt6zHpZY4cPKmVHv7h0A+/yNzpG+WRJp9oC7odG3/zvyVN/t670+N7aM3yPXLiyPm4MvhLvZLRA9fLL8f+S/FyQGl3YO8Jne/S+dsd528IGvjYGVI3gWkTNsjfZ85p6+LUHPq/Mkf3bQWL5pCuz7jvNqNZqxI67QpVb1d/OVMzCpYtBQns3n5c54Yxgv1ZCoJnViRAAilGYNf2Y3L+3AW9zXrj+sAtNvGUT1MMAjOKiADl/IhwJczNPx48J52ajZcWtT+U0YOSZM+Oi/0BDCqWzNkqT7Yfoy189+8K1DckQkWd9Gdzp22UcpXzSbM2RROhqmmijGll/ua2riZU49i05me9OBKv3ceXpxe5/+EK2h3Gva3KhiruJRufLpY1g+Kj+3P1JEvW63U2sJibP3OzrF2xT1vQdX1whDz3RhNp0Dx/LIuR6tOuUb+YLJm3TRo2KyVZbonpKwnKAp1Ah2Yj5PDBX6V+k1LqXvWVpGBIf7VIQ+WLaeLIFdKmc1VHOUOIhKCRK8+N8kiXOwUfPEPqJfBI97KCv9QcZn++S75ZsF3Spb9CnnqpscgV7pcW38DImW3cT5gpJjSBJg/cIbt3HNNCC/uyhH6VLDwJkIANgbqNi8ucqRslT76bpVzVrD53xVs+tSkyL8eRAOX8OMKPYdZrko5Ln24T9OJR4RI5pcdz9aVUhZt9cty+8ZS80WeG7FdGRu3uHSLvfNJaKtTIHsNSuZu00/7snWFN3C0QU3NMIK3M39zU1YQDHd/+8j3PhnNrzO7BwkxaX5yJqXayaKlb5I7KF4W+3PnzSZ0m+eTUzyIv9JgsG9cdlLefn6mUeu2leLnMMXvRqT1hCMaz1z2e2ouZIuVLBMVhioBgJqmKAFxRDO63QJepVbuKabq/SlUvJo0Upm7T26Vu055ppLasJgmQQFokAIOJcV+3S4tVZ51JgAQUAbisNJTF7R67Szo9Vd6SS5HSmXRf0e/5xfLl5A3y7kszZfSMR+W6Gy1v50USIAEXCVBX4yLMBEkqJi4pQtU9k1oo7D+ipfZHghXEwe99HeoRxpMACZBA3AgMfm+BdkVRrHQu6drHfVcUcasYMyYBEkhRAtPHbk3R/JhZfAjwPceHO3MlARKInMBZ5dVhwYy9kT/o8hP9X52l9QL3tixrqyw2Z9mzby29k/THo7/J+GErXS4NkyMBEiABEgCBmFoYB0OcQR1y2KFHLW1pDN8k8FHiv+UEK42TRq5UjsR3a2VNhqvTSemyt8oD7Srbbj3BgVVjhnwj42Z1l5tzXi4Hd/8lQ95frHw/7pazZ85LybK5pUuvOlKqou/2Fm9Z/xWZPn6r9rW8bbPn0Knct90k1esUlg7dK0uGa4PVKvw4bEd5uLHH/YP5qSmLnpQct9r4T1Bl+6TfSpn/1Wbt0iMcHshn+ICLz2TJfp3Ualhc7n2gnOQpcJU36x6tp8h3a/d7f8OdQ9jlCr/atnf65//e8IekYg1fH657tv4hIwct9b7LoiVzKjcepaVR82Le9+LPFe41apbo580XgsXY2R0FWyrMAYetTJuwzps2Tp4tc+et8oha4S5Q/DrbcocbgRN0n+k0Ptzb5cPRjwRsyQzn4Smjtqh6rBX4C4frBDBq0qKsNLi/QMjHF8/aL7O/+FY2bjigvxW0+wb3lpIWD5eVa26weTzCNmlsIez96t3SpHUREb/n0T5bd6wqLdoXt8kw5S8vmb1fvp6xWfPs/eo99gWIsO8wWNgn6BvT8/kG8kD7EgG3Q8ifMma17q/QJ1SoWkAefrSqXLigChQi+PeP4F+xegGBZUe2XM6HB//vOlhx4I/twzH3BbvFMm7T6p9l5MdJ6jCCg3qiEUl/vW/bnzJx1EpZv2qv7lPx3Ve+q4C06lBZbi+a0TI/XIzkOzP6pCq1C0mP5z2udszPI8+77yst3XpXEfFbwn3vxSUyY+J6bzke611XWj9a2pVy2SZiEzHwjeUyedQqqVKzkNhth9y/80/5ZtFOafvYHZapnFRuCB9sMEDHPf92M3njuenKd/l5mTivh/24p+41OLRsX0kz9O9HwPjD1xfLvJmbdN+Ffq9F24rKKvt2bzkmDd+sLJHW674xnH7GyZhgfr/GN9lRnWS+ZtlutVNhoRxXk9tufgtP0cg7lpBDXDRYNn2wnHKtU1NGD14nX03ZoNt/JN9/2H3HBZG294zWfmm9/b5FGccM/laqq28kbyFrIeurSTvlnRdmetufk+/KP/tIvmfzs9G8ZzyPQ15Hf7JcFs/d4u133JQ3/Otn9Runfk8du1Ybbgz7op1AJjcCfGtOGbtB5n25SX8vCPkLZ5UGTctIq04lrZLzfpOInDS/p/x5+qxq6/N1v4wQTBbxl4/KlM8rAye08ObjP46EI586/Z7OKAXa8sX75a56eb1ugMzfzjOv1bTkYNTFTta0fMjmIuYzg99dIODx0WctZNaU7Wq8WqXfSSQy6uF9Z+WzwUu9c6lIvvMfD5+Xzz9bLSuTdul8jf6sees7pVy1bLbvyKZK+rL/WB9pe4tWzrcrU7BvwXgmac4BmT5xnVfOsPsefj76r7S5e5Cc/v2sfDy+fcC81kjvo1e/kc5PVpdrPB4bA4r2ydsrZPzwlWKMeT43RCh3e5/1ew5tCHPbR7pWk8+GLpOvPv9Wzv1zrzR6oGBAeZy0oYDEbC7g24E+AL5C2z9ew+Yu38uYk9+tXHZt23RESpTNE9YzKXUTmHVpOVzrL3q90FDua+eZ10TTn6HMkY4b5u/EmFNDXh76wULZvOGQ7kM6P1FDz30xPlvNu82sIEMNevvroDJgMLboPzer+eWYr9ppl35m2R3Pla+ST7r3qad0E6bByJRgpP1EsLLYxYUrC0Q6f+vRt55cfdWVyhJ+lpStdJt8NPZ+uyKI+b0F60PsEoilfOzfdoO1mbBlRIuKhDvuWDzq+JL/vCtYgrfefrOMndU+0FVgtH20yuzMmX9kzdJf1JidpL9TY8xt/3igPmrmhO0p0qbAwLlGIBjJEHFVauTRK4NQ6q1cstNnYH26w3RZ880enxQwEVyzfK/+q3RXfuk3opllDhioZ039VgoUzi7P9/xcKxGMAPiPtxklD3asLI//T03QTWHNUuU3qavHb5L5OoSk8cNWyOTRq+PmJwlKobdfnKknw0Yw84C/6EHj2vgIH+bByngGk0JM+vE3dHInKVY2MVyBTB29RT54fa7P+4KCDH8zlZAzaubDIpf5RIf1Aydxt7t3tPaDZQ4Y4JPmb9d/9z1cXnq9fFdY6blxExQy/v77QqW7ee0v8vJTU/Tk0who92jv+Bv64XXy0ah2PosExn1WzyIO7X7Yh4v1X3flQ8x/ohhNmzTyhGKnpBLuXuo1RQsqRkD5P3pjrl6wGT61TWAn7L0zZf4DAW3QO/N1Zo90q26rRIx134FJffMHfZXFcO3zVIdxsmvbMS8M9Anws4y/UOHt5xbKrC++87kN/DFpwN8Dj1SUni9WC5WMK/FQxkfqt/zfsyLPdpmmxwNzMPfXT/StL80eLhZQRrtn8d3PnbFJ/5WtlE8Jdb4KbKtvJdzvLOnrbdL4vjJq0W++rFp6cWxDnpgYzp/1vQwe3zGo4jSgIskXnJTLLk3/67UaFNPjxqYN+wWTYizI+oevVHtat2KPtO2iFMYWPr6XLdyuJ9LV1CS1Wr3cUmbabbJs4Q69CGrnwxzC83p17gECJrfmgH4ka84b5LVnp/sctItx4ZVnpql086uxvqq81nuqT98YrJ9xMiZAyH2i7WdapjGC/zdZ+s480uVJ310KTuQd/3cQ7u9VSr5qdtcO+eWn095HzN9/B6Xg7vDEnZbJRdR3qHZQSS1CoZ9fsWS3Z6HQP1Uloi2ctVm/Q2NRxf+W5WohAqGqUiqbg5PvKtrvJtr3jHJj0j2k/0IfudQsb9RrUkJeer+Bf/Vd/Q15CspiKAzeHPSgj7IYE2aMwf4Bh05BWTBWKZYgO+bKl8H/Fu/vF5/4XIyDOo2LhiwyevCN8tGYR1xZkLQrgNPv6fix36R148Fyww1XK4Vxe7tsUuz6vt0/Sev6vgYm4bYZQxlqLqyT79zcn2FxdvSXHXzaTygo/mO9G+0tVJ7B4oN9C3jOSs7CdfP38Oaglt75K8bFMuU949o3amwrVSHwPBaMn3NnbJTb8mex7Q9XfbNbFxvjrjlEK3fDKKtv98k+4yTa0FdTlLyn/hDQ91gpi520IZ/Ch/hh9PHgZyVf2D3epmsZFYW/1BNgsd23+0TNG3NIQ1kcbQmdjhuQU/3n0VddnV5qNiomxw6f0uPzotlbAwy1zOVdtXSX/lmlZmgDJLt6Ip+Fs35QXP4MmNOvTNqtz7h66sWGAd9FrPuJaGUBu3qar2P+dl/rUvLH76J21C/Qi04wrrBbHN+w5qiWIfFcqXI2xo1hZBwL+TiMbPUtEcmIfolaPet03Am33JHeZ3WuTLR9tJH3Y61H6HmSEcx195cPq9UpkmJtKq4KY1h53lYwq/4wdm7znAJvAMIgefCHn6Vdt7ukzt0FPQKJmlRMGbNFWQwv0BPuIe+stN0ePn7Ycp0UVsHbP15N+zWCAvWDV2drBcOUMWuksTpgzfzBVqiaXQoWySa51YEbrTtU8SqH8GEPfOtr/dyrz05Vq2Pd5KbsgZPlSBoa6j5pcUf9yO4tf0j7pkNsH5/3xW6lLP5KTzDqNy0p3Z6q6xlMFY+vpuxUVrdLtNKoe5txMnK6OjAreaKOMmOwglL+f2/d6xFo1DNTlQX1bDWxL1j0orIY1hy/HPtPurYeLscOnZJRM7q6YllrWym/COT/7zlRdZikFZzmAOFq2IDF+lJtNbj1eK6Brj+uf/rhIrlKWVUaymKDq8E0R+5MMmRCJ7kph7U2OZ0ysq5aq6BcdU16ZVVZXf0/t+b3l+rYxwxdpSzcV+mJVcEiOaSxxap7uPWDtXQwp+3zpu2R13tP1xO4J9VKdCRh67enpFfHMXoxoULV26XH/+p72/XKRUe0hQoU4t1UJ+TfdmFF98yj43Xbynt7FoEFY+Xat+jswXfS6JXy7er90qy1r1VRtG3SqNe2TUelc4thUrj4LTJiWnMpVPJ6/f4//dDDHO157NANtkqkSPg4uffDN7/WW93giqJ9z3K2SUXTd2AnQbA2AQH/mc7j5Ny5f6Xn/xoK2qoRIIz2bOux2sPqY1fVJzRpWVz3k2gPrz0z1Udp5V/w/3tiniyc/b1eucSzLdoqywfV7vHOJ4xYoS0OYFV05ZVX2Pax/mla/TZbifnH4xt7prPne/e3VvK/N+D3f6La8wTZqqxKYC31RN+GUqPRrfq2g7v/lhEDF8sidYp2/1fmyJUZ0vt8u1AIdmh+kV3H7jWk6YNlPIttqn+cPXWXjFPjR+uOvguKTr4zlAvtCILAzVmul/7DH/bukpk+bptalPhaKzRHDkqS5/vV9VYXVmz4e7P3ApmjTsW2Ck7LZZWm1bVid2SWAkWya0XQyqSdAQK9KHZQFmNCkDT/oNRoGGjtA4UhQuUaHgum+moHAxTGWDC2UxgbwjPyLlXeV3iGNRJ2bmBcfFItDmCcN4/XkBPwh77tzS9aCfweot19NthjvWXVz0Q9Jqj6/++xSfq7Q5vs9UIjqd4gj+7Xhvb35Ie6V61dRC7307U5lXes3leoaz8eOaXHi49GtfWMF6r8yxcfkiHvLdLjxciBSZL5pmsDDvqIpu+oXreoXhSxW2zYtP5n3W7+PP2PdOxRNcDqDv0SnoXlWdVavgrjaL4rsIn6u3HwnvW3rpSuCGZZzixvzJ/5vWTKfG3MFutwoNRAtQgKxd1L/e4LUPzWalhUjQHLlaxVXO57qIJ3AQvjUT9lHYW28dKTU3xkTf+2dnD/z/LE8w294wosnrALBuMKvo9nH1Wy6rR23jHNkI+wm+fFJ6b4J6etjSORT51+T5CHCimDkzcHN4/7ojVgQI7PfOO1PharUHBgMR87A+3azIDXlmn5Fe+6VYdKaiGvkv628D19ouZR2Dll95336TxTLfDs1M9ifMZ4aCjxIFdirGqo+m/DMj3asT6a9hapnB/QoJIvhPoWICsYcpa/nGH+HqCIHf7Fo95vBeMbxjWMh3JBKYz9Fk8xfkIhAIWO3mnnF4z+EGMexl0jRCt34wwOQ1mMsfD5d5rqsRAGEe/93xwtKyHUuztwB5uTNuRfr1C/dycbPxQrlSvUrak+/oUe0/WYBuM2f4OjSPszN8aN4R8tliMHT3otnSGXfLv6R7lByUzYqTv5szVKWbtH/jxVV67NFIgXfTgUnRiDoaRyEt558Uu5It3l8tizdVS/VEb3seZDDD8bskzpfYr4yAHR9BPhljEaWSCa+VtmNYerpuQ/GEQtnLtNOhWyXpA3Fk6w0O7fd4RbJ9wXC/k4mK7GKFs0MqLxbKTjTiQ8wr3XmHfZ3f9/T85Vix5btKW9/0F40fbR5ryuvuZKPedv1MKzMOM/1mNX5puf3K0fyayOiUupNuVM62lHM4LrN2XxbPu9cN53+zSUc1OWdNYTfe9WOTXoYqv6C2orK0LS19u16b5VgJJg0LgOWug2nODDIqL/iOZe38nLF3tWy7zPq/Q/nfaQvPhefR9LQiiV+49urpVGENwWqIbiZsh4nUkT5JcwBnoI9xBgsaUFZfOuvKry3tOqkIyb3VUrhTH5nTnZY1kILgeSrWY7PVnzovW2eua+tsVk5Mw2AW4Zrs90mVxxmadJBCuTm3U3p4VB44or/CQrdcOeXce1cHVT1oxqS2sjb/3Boe+7deWpVwK3BhrlR31Qr2ABPmmHT39Iqtb1KItxL4Tqrs9W0lalCLCAi1WA8m/CcM8CR6cnakZmYagmr/3/b5ZWFmMVG+3UvAgC5S8OhsAWQLTdCSNMPr7UszjIDW0LQg3uM5TFqCv4du9bVbcV83bVaNukmR/yhLsPDD5QFiPg/YP5fW08h1zAjUw8Q9iuKFDIGPQd4z5dJmf+Oqcna+atn8hu4FtLtDCK737C3B66XzTeUbE7MqmtZW304oNVmP35Lq0sRvxnXz7mcf+R/NnhnaPPfH2AZzvwDLWFH5PLWIS507boxSGsoj/2bLWIshjy7kqtLMazk+Z39SqLkQhc7bwyoJE83rueTnOyWvSAMtMIwz9aqdmh/iOmdpHWXZKVxbhBccCYM3FBB1+3R06+s4tZS23lDgjfmfk0bwgcT/zPY1G4cf1+QX/gH67MYLO261K5/POz/K260Sq1PRa+sE71D1ASgyvCXAvltqH0Qz9eq4FH6WfsMsK7xATcKhjCs87boiuHqxaMi8Y4b4zXOF0dAW1kxPR2eoKMgL6923NVtI9EBCir/UM0YwIWbzEGY0L1wci2WlmMgH4N+aF/RpihlGb+cotTece//OH8vvv+Mr7jhWr7GAPRPjGBRBj36XKtYDdCtH0HdjIVU4cgYxw3LOfMZTR2OkD5u3BW4O4IQ8ECRQwEZP8Q8Xfl4LuJ9j1j3Bz+0RJddLQFsyxnyBs91HZcBChWsfDhdsCkH0YPGH+Rl7kfMvKCMcT05V312G92jwaXcZ9MbCfZlEU/2vnqZUdtizdqWhefcQXpYFz5ZGIH/X2gnxg/fEPA81dfe2XANeNCJPJpNN/Tf+fh1sZjWQ1DAyiLzXKPbcFSIAKu9PBdmt32lSx/k5afOj9ZS5fAv81sWX9SXxwGKM4AACAASURBVEPAu4ZsZbg/wDiP9mf0SVbfuaEsfvvjlvrdmS0+ISdCZg7XajLYWO+kvUUi5/u/pnC+BbOsMHBMex85A+8C4wrGF8jWUKAbAeMbxjm0860bT/pnrRXFCIY7Rv8bYJmMYB7znMjdn49e5TUeGqEWaoyxEGMmZCXI/whwd2IOTtqQT0Jh/MCY+NtJz4T+tgJZwngi9d4CJTsWqtE2Xh9ovRM63P7MrXFj/95flFzfyvvNQi4x5hWQmUqVy6N3Gy2aEzj+gvRStWsR44bdGBzJ28iRK5NyQ9ZTy94oBwLa5Idq8RrjA+SA79Ye9knSST8RtGwOZIFg6drN32o39uwY+Ga+WqQxzUuMtMw76uo1KRUsi7DiYiEf2+lqUKBoZUTjWTfHnbAARXgTFhmhe7Qy7nPSR5uLgbHGUBbjujHWd32mjr4NO4ihnzBCSrWpuCuMvTWO4D+Va+YVCHSwVPj5J7VMZhHyFcjqVUT5RKtJUZkKt+lLx4+esnjS/lK15Mny4QMen272d7oXg4kUhBGsZNgJZ9cq/7KtO1XWmS6a61kpTq900Ibw/cPui1v+3StZyqV03XUeh8MYzA4fNM1eU6AIdZNX3H888lvAJN+t7Ae8sVgLllarVaHygJIGkzcIJr1esHebAd83CCvUtl5DWWGe+PZ57d5QWXnjo22T/hlgkm8VKt3lsT789ac/Y8bcKl/ztbNqrj60/yLvpZO/OJu8R9p3YPuZIXD6K1OhSDAULE++0MByay8Wx6rX9Sj3/Os6e5pn+2GXXuqwEJttxVAcoT1CwbNwjrsLZCjP/l1/6V0DsF7yt572L6//byiwFsz2lOnpl++2ndQ/2LGU/i7wbRnKDfjQhRIcAfXPW9Baqe6fp5PvzJxWNZt3Ukn5TQYL7O749YT1mOZfJvx2q1xWaVtdq1nPY1ny3dofBCzNwawkXrN8T4DCC+0I7al8lfxeCxZYisG3M4IxSTanaRaejbz9y1WtlnU7L1zcozAuqc49sFL81EzufzBJ9Vfg+udh/m03Juzc6lGgYUJl1a5aPFxRJwO55cdjF7ebBcsLceHIO6HSsIpHe7MLXXrV9k7cViZ53IHgXid9x53VPNYS8IVqDlhIWLbo4iTVUKaY7zHkGlgqW4VIvysn30207xmGBsaOr+69rcdqyHgly+XWE3NYIbkd3lcHSqEM1esWsZUng+UJBVN5ZZWOsG+XXwdgejD9lclaAL/EoBRofN8d+qrVQo3f7TH5afc99X9libaoRYChweUWi1MxKVAYiVoZUhiPPdKtrNcIBlZrRpj35UbdjipUz2/7rrv0UmcVqAUAKGgWzUleOFO7d74Yu0Yng8X7irVuCaOE9rc4GevDbW/2udvHhPoWMCZAMYDwiNp9aCUrYVzBWTwI6MOMMREWmmUreuaZ3yy4+E5wHxZGoSg2gr9bMOQLOR39cx1l7W++L5q5IJ43zuOp06Sk5Tk8TR/0WDoePXzSZ8E66jbkLXX4/8Fc3nDlBOvTRA1QKGGhBu+v96v3WsoekdTNrXEDSiWrBUKjLLUbehSZxi4w/zIa7iiM3WH+8ZH8hkxmtfCLRSnsOkU4sM/agMAqHyf9hBNZwKosuBZs/laxWk7vvAQ7CfyDsaMOC+zBzlHxf87ud0rLx1HLiC6PO3Y8nFyHXgBeCjCuWhn3uaUbueIK6/4PrncwniPMmOSZx+L/KdWmrEvlhKjLz8LJ+WeDNsiDdUdK1fz9pHaJD6RX+0nyx2+elcgDP0SuDM2WQ2lYVTiwN/BjNYqPrfp9u83S+SHfto1Gyzzl1zLUcy5X3ytU+/vt88+nWOnc+pJXsamEXWw3RRg/fIXMGO8rtPg/n5p/FyudWbnPyKGL+LLaComDqmIRYHGAg52aVR2i33njOz+Wt5+fobMKtjjhpCyrFx9RBzFtsFytCiddQxgNtXUlf6GbtcWDuR5Q+iBAADBbj4TK15joRdwmQyWcHH9Lbs8WvFgxD1UMCOUD3lzsFV4xOMAS22o12Cotp30HJlijByfZKlNXL9urBywIFMEmc1aDDg4CMg4VCbWtrEAxzzcXiwUyWHJBeWhlPW3F1HwNCixMcK1cFPg8q/Rh+dW2YgRDubFh9T7vboXajcLfVufkOwtVH8RnujGdZDfGpQjGtFiXy7/sEGCh0MK7W774omUuFjGgJEYcLN7QPuHP2By8/u/8XAo0SrZmhS9aszUrnjWEZ6TrhvBsLo/Rz/jX0fw7mjHhmmutfbtmyZ5BL3QjHD5ovegcC3knWP3s4swTt++/8yg3nPYdUH5gEu2/2DB72ne6PcFnep3GJQKs7oytsFBsla8S6ObErg64bvddufHdRPqeN60/oItapmLegN1d5jqUSJbl/N20BatnOHHwQ4pFSOxKefm9u8N5RHAQ7hMPfyE1iryvZaIOTcbJd8pFFcLRQ4GWk+EkaiwIo34njiiz3hiGSL6ncspnPQ4YSrhgMoLZ8u1BT/HV5HvrRo+FXpk789pWCRbHhmy9Z+dxfd/e7ae9/qeNvtk2gTAiIhnrY9HerIoYzrewa9tJrwxYOdmIwSqtUuosDlhFog/ba1pEMRa34JNV1PswgqEgxjiJcQ2KZvMuLmPMK1oqp89uQTfk7muU6z2rcGs+j0Wvz4K1gzZklUeoa+nSXabHh0QOcHtp7ODo+nQdKV7uojuRaOvl1rhRulzeoEWAPIw5otViv3kMrlwjX9B0nEbmulWtSqoQbHxxs59wQxYw1znU/A27GKvX8yjn/ReLkI6xo66yMtiJZwhHPvYvnxMZ0e1xx79sbvw29AJ2xn1u9NGhytmwqcfqHIYLXqOdFGpTNvtcQxXZvfhfTngOXLFaURzSb5WMG7rcJzNsvff3ceteaTyWb891negVFIy0ja22buYVKi3zFh2cDv7OC6Ge8I3HttqD+3/V5uvvvTxb+Ttbol0sPNAh0E9VZCmn8N3qY3j1wxbSo+0o/V7aNhks2G782LP15I7KHkHHaYle7nnRj5eRFhSHG9clC+BOM7B4Hv7D+v3fbB1jtVpl8UjAJeOQO/iHxF8kwbCwz1cgW9iPOW2TYWcUxxtxwCUCtunVURbmb/Wdqa24R328PqgfYwgKbvQdb/X90qtA8XdFgXId2OdZJCuQvIgSCaoTP3ks9DG5uadyv0gede3eUQPWy/qV+/Qqu7/1dDiZ/HTcUwf40q1aILI6HFc7BRBuyZPZ0k+bXf5OvjO7NN24Ho9yVahaQCv1YCkKl0gIUA5DSdxAbaG754Eiylrte2Wdtc3rjxYKZfi/s1L6GUpopLl2ha/vY0N4Rp4pHaIdE/7609p6+MTxs9qCHCFXnpsCqhMPeSegEKYLmLjhOzUW5532Hdj2CiUI3jMWG3TbUVsy0VagcIGP1COHftXucjCRKlWhri4N3EGhbd2hdoYZW+qDlTucODe+m0jf868nPAfS5s4b+O7NZb5B+apFOPHj79r/tbFlN5x6Wd2DE7exEA5ftginTv0px478ZWkFbzwPKzkoPiADmQPGQafBmIjinf7+29+S5ZaMTpO0fD7S7wk+8KEYScRgGMGcSe57/lTD3K+/eOZW+dW5LMGC4RbQMKAx5EIsbuXK6+zdhDvWx7K9meseybdw7IhnQQQLLNlyWC8CIu2M16mFqUzXaplt3+4fvQdWY3EL4x3klK3fntQHjBu7KSD7tO1aVvmlvkafcI9FM8OHPw4eQzCPeW7J3X8pF2dWwZAp8c5vzOJRKjtpQ1Z5hLpmLO5hjufvojLUs6kh/rs1+9V5MfO9feYhdQaTG8GtcQM+uIMFWMVj9xd2tixdsEMtVnhcduEZwx2Fm2NwsLLYxcWin3BDFjCXN9T8Dfdi8XycOjz22zU/aCMJQ64xdtRh4eQum92IdmxSw3UnMqKb404sWMAFRDDjPrf66FBlNyzwMd78fQb9uae/Tok2FV8LY7WCeVwdvIJw6+2+h9lgBdhQFuOgs89mdtMHROFvgDphGSthbgesDj7+kEcpic61z+tNZNFmT5741/B56Ha+dumZt+jY3eN//Yr0lytn8hevwjE26gF/Kx7LyXnaahqnOCZSwHaw6d90lUbqoEJ0pju+P6oPo2hTf7RjK5VnO07Xhz4gXVg5TVn0pLetQVEdq/DW87O0paTdalWofNFBnUhWnoW614hHHbGSj2fh8gHh8ivC33vpRpsMt6zxvA/fy1Mv3S31m+XXVrAI2KZpN6F0q+/AQZ6wDAqmTD2sFoGiDcG2EdulabWYZ3dvqOvwiffZJ9/YWk+Heh7xwSwP7J43LFcMoeSKy8O3ZHHyndmVx43r8SpXvXtK6ve3bfNhdUCK54BQKIcxOcZBJZep8ad2oxK6bzP80WICAgURXG9YKf2gaEb4+kvPLh783yw8I8+UDNGMCaXvvFUXEYp0LB75h1lTPD5b8W3nutVXAREPece/fHa/jQmVG31H9TqeLdbG7hbD7zUO7YBVM/yC+lvdGb7sDT9tduUM97rT7yaa92yeTIRbzgvqsNMLLhjgQlaarHyTQvFl7A74pN9C22JgUt6n2wQtL+KArLc/aSXLd3rk4BnfPK12JLm3eGNMMG0LE2VEav6eoqxSWI8Z7nV+/+2c9kcaSTCUdMZWcKduOcId61OyvUXyLRgL05EwxBhnBIxzGO8QVi3z+Pw3dlNgfMQ4ifES4yYWzbB4BuURlEgYX81jnlO5u1T5vLocC2duFmyr9g+zp27Ul/Llz+Z1oeCkDfmnH85vuKe6MatnsSwR3SjC0ASGZdgyjvnDbHWOA3YbOgkpPW7gXAMEyHNmq3hjd5hbY3A0TGLRTziVBfzrEc78Dc9g8bxC1fy+roDUdWN3AfxJm88i8s8ntf52IiO6Ne7Egg18E78XwrjPaR8dbrmtdg6nVJuKq4Wx2QQ9fyHP1mFUHD6ejJN9n3ujiTRo7vHZYQAtUSarXH2V/eEY4YL3v2/gW19rIbn0nXlkwOiWPieZw1fVLclbJfyfi9Xv629IrxXjEPzeG/6Q4CTpaAIsefD3zbyD8sHrc5SS8Q955Zlp8s8/9+oDnhImqOUNHHLX9+26MqT/Kpk0cpU+sbtd06Ey5qtuAqf4kYaZE7brbZoY4N8c1NLnUBGkVaSEM/9tduWBY3hYfls5Trd7xv86BKwbMl+trK5FHutdV1o/Wtr/lqC/jWeD3uQX6VabjCTPeNxrtvju8nQ1Wb9qrxYGB6oT7o3TSc3lcqPvwARr0ujVjpSpoVhlza5mMSpAeTB2dsegW6NDpRVxvJoQvZ/s/wkLM1bW0+Gkmekmz2JhGTUJCnYyu1VaxrNWcXbXnH5nduk6vR6vcuEAKwi0G1b9oPpOZSHx599a8MUWW0MZ3Lh5GZk4coU+3Af+Ug2ln+H/17/ulWsUUlamC7S7AlhhQXloCM9lK90W2UGg/olH+DvaMaFO43zq8NIcejdCrw5jlE/5RvrgO1iJfvqhGq/Ut43QrLU6/M60XhEveSdcLIZlkht9x12qLQzpv1A2rP5BDu7+Wx+OCOXIQ8lnMKBMWDwwrO6q1Cwo2zYd1Qto8NPmRnD63UTzng1liOGjM5x64AwKnEXhRoCcgYNQs2TLII/cM0L76oUMEiD/qT7643fn6cWdek1KyEvvN/DJHt9l1mTXOW6UK0tWz3jkRlpGGqn9e3Kzrv5pQabTbU1ZicJa1NjR4H+f1e+M13sam/GdW90T9rVwx/oUbm8of7jfwq35fI2Ywqn7ddcr+KYAt20zJq6Xdct2SyO1lRiKYSiIW7T1WG9ivKxRv6he0MHiGYJhRGI+cNKp3N2sVVmZPn6t3qHZsfloef6dpvqQMexy/PDNr/VcBP1wi7YVvKV30obCYWV1D9zxYAfK1k1wp+JRXlrd538Nhhxvq124de4uJve0tD7TwP+ZWPzGIZK9Xr5L+7AdpOYKcGU3snIbn/E+knxTetwoVe5mPdbCKn7T2p/1fNhwR4E5Q9kK7ozBkTDQ98aon3AqC5jrEen8rUrNAnocxi46Y6eesaPOcNsUMac4P+BERnRl3IlR/fu/Msd7lhgOKbcKTvtoqzQjvRbrNhW5hi3SGgS5f/rEdToW2xGrmvwaLp7n2ZJTo17RAGVxkOQcRcGXGnz3IPT4X0MfZbGjhB08jMPsbkxWjhhWPg6S05PX6cu6SrnK+XQy+mALk28tJ2mn6LOq1eLE56GTO3ktp3EKcDRh8TyPb+emrcoFKIujSS+cZzAAa5+4KkTrisLI58Ysnm1Gv/1qYTYQojDGs4f2W/vTtHrc7TZplUe8r/lbfGOx6LFnPNuj/U8nRVnd6DvO/y1KSfKlnqiH8utr7MYw3PlEwivHLR6fatiWfNqzQzqSxx3dO+DNZd4DGqNxRWFkni1Z6X36DwUtwv7LePb4sVM+h7uEqpiT7yxU2k7i41Uu44CU8cOXy9hhy/UYDiWxEaBYwuFWmPxhZR7/YiKCCYlVwP2wMsU2K+OQRUN4NvKyei4W16IeE5QS+K3BrfRiDMbrvt0na7+v1Yv007ul8G236lBJ/AXOeMg74XDD9mqELFk9Y4wbfQeUILCswSJ4f7V4BJkLv83WNE1aFtFtBcrkD9UCN7jdqbbKmpXs4ZQ/2D2Ovpso3/MNats6wo/HPG5x7MpnxEOxJeFv/rFLTstI8M2LXVoZVBG6PF1b3ztyUJJWGJnD+lU/6YVRGCr07OurLLbNIMIIo12hz7jxZvd3CqbW7ylCTBHdbshwRrvOoPSWGTN6FMAHfwgu3x0+4GkEWXN4lPfGdw7lYiSHc5oLHO5YnxLtzVyuSL6FTJk93+tx9b2e+tXe1B9xuAchRy6PfGXkaRxGtHXTESXffaW/LSiIzbtsHmxfWY+foz9eIhOGLdOPYuJvDk7lbhjTwCAG9YeRTef7h+mxqWH5fvL1jM1aWfzE8w18FvGdtCGfwkfww/D7bCwch/so3BZtWLVPMfwm4ByEcNNwel/zhzzKYqTTqlNJKVY6l9eVnZO0U3TcUGMbrN8RFsxSVu8qGO4ocDgxFKzxCLHsJxzJAskwIpm/GfyM3QWQgaATMHbUoS+o06h4PDA7ztOJjOjGuOO4AhYJTB+3LSzjPqd9tEXWlpcM+cnsPiil2lTcFMbYXmA4/MZBJ+YTM42tUQWLXbQ6tiTn4sXz5//TExNM9vIVcN/qIaqiqskCBh2EpPkuHVqn0jRWkX/Yc0JOHLUWhI5EeaBJVPWM8qFCJa9X1mue1WS7A2JCCXtGWytRNneUpYj8MRwCYpx27K88iDS1UuU826CXzt+hB5xIgvHs2uV7AyaOtunEok3aZhafiFJqh4F/wOFy9ZuW1JeH9l/ks63Pjb5jcL9lejIRzBWFUaZCxTyr/JEK1Xi+YNHMuo+DYm6B8hWaUgFb84yTo3uqBbl0DizncDgRJjiwgli99GhEVTCeheXVyiX7w37WyXcWdiZR3BivcnksgjPodwCWhksBcxXuUdsb8Z709kYVQin9qiQvGn+zcJuyPv1L1qvDgiA8I6+UDE7GhGy50sm7Qx+SbLd4DrdDucEA2/hHzegq3ftWDahKPOSdgEL4XcDhJbDsRShT8Tb9r1t9h6EMwQQfMldD5WbKJyRPWqGwMs4QqF7HXasxp99NNO+5cPHkflttObc9QFVZUn2HeBWK3xE4DvmCCu9XvgJZffwV12ycV1v9w5Jx1MceBZWR0vnzHnkwT96bJZP12k54mQa5y1DoYhwzy/1BHgmICiafuvE92S2oXqusvhHs/Fcj7o9TEQpiAbWL7AKU/pDhEIx2jYUG48DXDSs97ckqVezm2LHliI4qUcYjAxvfOa4ZSiOrZ+2uRTLWu9XeQsn5Rlkj+RZuK5BZWwOjj1q1dLdddXUc7sEiS5HiWX3vU32ZHvdUgD94jAUYF83BWCzds+Mn5ebpqPWY54LcDWvR/+t/v1xtOvguw9XptJu/yQt6BixkOmlDtrBCRMDPM1w6QD4d9XFSiLs90XCxgcVFhLqNi1u6vAorIYc3VfZT8vd4roF+38Fc2RlZBuvPUnrcgO9clBvtGruADHcUbo/BkeB2q5+wytOpLIA0I5m/GWXAohF8QqPvwILH2uWH9Q6AUmXzRnQIvVWd4nXNiYzodNyJRZ2hyB/+0RKddEjjPhf66HDq8O2a/fo2eGWAMZs5xLpNxUVhbDgux4eCAblLr5o+lTZ8Ztr5MZo1dZt3RdcXV/S/jBNaIXgcORhorQll3MJZW6LPIMonmz14p+6813yzRz4fFZmC5z9rXbCc+esfXRpsX7vm2oteSeD7GD6QEbZuPBRlia0fM7YeokPct9tzaJX1ndZX4SvTKpz923OIw403e6wBjHuM94k2tlUJYXbBaGs7t1gf5jJ1vLLCdjFMHb1Fb0PBSn+P/9UPK2VjS/CurccD7m/cvKT+hsB14NtLA+KDXah7d3FdDkwcP3h9XrBbfeKctMmwMwly46A3l3tPbI9USR4k2ZBRsDIGL7Ae+v7FibbTvgP9oaFMfby3EjJDKFOhfEI5IFS/8+KXtuW+cOHfgDhYCNRPPmX1s8HfWPpaDXjI4YWzyp3rgLfmasHoXrU1MhxXFMb2pIP7f5ZTfmeHwErR8KWGQ0bg9y/cgGcr1/C44YHi/8fDNp2kX4JOvrNwyxbNffEql/Y3qwRbIxi+78x1MPy0GddqNSgWtIo16uXRCyawRn7/tbn6OytT/rYUF56djAnom3p3GS/PvtLY6wc/aftT8u7wplKguPWhM/GQd4K+CBU5pP8C/b0WVAdrGq4g3Oo7jMUGlAHvG+/dP8BaHYsFCAWKZJdS5d3VXjr9bqJ5z0adsDA4day1LDlxxCa9cIi6N2jiWaD0Z+PG78eeravzwLiDrbRGSJfOIw8ePXzSsl+Fr37IL9GG1YuPiHGoV6R+ycOVT518T1ddnV5zwdi6cd3+gGrmUop0BBzg6W+djes4tXzsp75K+IBEXL4w7KOlWoaDTACZzghGnwwLNsgYVmHEoCW6rlhEvquuZ+chvvMa9Yvo26HsgosP2+AnYkQ61jttb+HK+bblVxF234LhLkJzGLfGckcSDoabkHzYdLXahS0P0jUr2vx3UxjlMo+fdmOeU7m7b7dZSvmxSAaN6+AdmxZ930u7+cMCmFWItg1ZpRXuNcjZmPPigKlxn3wX8rEXek7XsgLacPvulUPeD4vBGkXel2ZVh9ieSRIykTBuKF4us4AfjIPgys4/hNufpfS4Yfavi11A6OtiMQb78wj220k/YbidQPrfbwjUaziVBSKdv5nraXxfMz/fIKMGe+bvcGOTqMGJjOhk3AEv6AI6NBmndQMfv7XCFYTvvzpLf7+V7sofuKBmkYPTPtpI0mrujji0tanj1urbMJe2CrFsUzFVGMP6CMLooT1/a8XEV5N3SKdm4+XpTmP1S4CA8+agVnLdjb7VNiaWWN3GScfwAYhw/MA/gpPL+6strpjMIJz+XW1LdiFkuSWd3hqJdF/oOUW2b7yooZwzZbc8UHeI3l6C8M/Z5AK5kG+oJHCCfI8+9fRtA96YJz1aT5GtGy4K+FgBweTl7oqDA5Q/g95ZLo3v/FimjlEuPjy41Gm9p2T4h54Vk8LFbvERcHAad8Xqnq1QY4Z+IxhYjbB5bfBtbSHrUSijnhwivPykqoMqR9hBlb1b69G67ZiFVyhfF8/1lLF0sqWtkabxPvH7ozfmaP/NOqi0vl2ppPrkUKuBxx+Nf313bv5ds4afZCMEsyrx3hTkP5hsjfzYMyg0VQsB2CIaTjDqhtPjP3l7hfd7wLP4dnq/2kQLWNOUjzIcArhykcdiBPGYwEz4dKNuB5ismQO2qWHVDGH+zO/1s8sXqAE1ua3A+gRtC4ckmrk7aZM+BYjiB9w/fJF82ju+x+mTIltEiSJL7yNmXphowwoPwUnfgQmW4TMSk7QKNULvqkA5Ojx+l84b/rf935vRT371+beW1W3fs5weANEHt7t3iAx4bZn2G2sEfOtPt5smT7adavl8pBcH91uqlSBY2GjVLrRAj/RLl8urJ+7Yuv5Cj8mCb8ccer9aX/cnSPeeKh/IhKHfXVRwqPaLdoz+ot/ziwOK2+O5+l7Ff+uGA/Wz+E50UM/Ct2eLmsNk4BvLvc86+c4CCuDihXiWyxBscZAWrJesgmE9iglHsTt8t+sG3O9njYV4HHib0iHaMQFjMcaLGuoE7EjOG4iHvAOm2OEF+cq74KLa/leTduqJNPoVjCldnqrj4wrCjb4Diw1Qinjer9r+qt67fzCs7nC9fBWlyFLWG24GJ99NtO8Zdercs5auxsB35vv0u1A+vvbM12osmK/jW6p+Mlz5IBouSBt5QN4d+PbFxeJylbLqfhUKyBd7TvP2u5DB0U8+cu9g7W4FIZg89OyjvrIaLNUguz/z6ASdJ8afAP/JISoSrnzq5HuCxbOxgweudLxyY3LZjMVa8On24OiL8wT17UwZtUXur/2BRHNYWoiqK9/u+3X7MI/TkPMw9kPuQ4BMYD7HA30yfKqCd98eE33GSIynGOMNGQFuSszbzTs9UVm3A8gIT7Qbo9sq2r0RkDfG1z5dZvoUPdKx3ml7C1fOD8bX7lvAM4/2quqVMzo285Wt0TbaNB6ilZVWhk9GnljswviHELCbIvkm47BP/DQWtI3njX+dyN2rk47qbdXNlNsE7MwMNzhpQ+Hm4X8f6omzizD+wN+9/7zPuB/8jbEKuoT/vXWvdrkTKixWB5zjm0A/Nmn0ylC3O4qHMRzahpUru3D7s3iMG/67gKqoxRC3x+BIwDrtJ4zdOuOHrxDoDczBiSwQzfzNnLfhMxrjCQ7kxC6FWg0SV2GMujmREaMdd5AvzjwxdHRTxqzRriKdBLQTyMHYkdHm0WphJeWkjzZn0KPtKIHe0QgYezEG4zBi9F0YlZlDzQAAIABJREFU1+3mGLFsU9bLimGhCX3T1o2HpWur4ZY3Vqh6u7zcv7lcf1NgtDFI4eA7+P7DnxEwiPRUvpbO/3NebQNYqCc9dZp4VsYDU4rsCiw+tyjLWsPHk/lpWNq88n4LefO5Gcoh/xGtkKhaN3dkGUR5933tisu58//qwROCY5eWgUzBBVsZ8xZMnmD/pxSj6mAZCHwfvDpH/5kDrFatLFwhIK1bsUcrYqCYxx8ClDcT5/WMegshJoWwnkSDh4DV5YFhYR/UtnXjSV0ehMcfGuVTD/zA9somrT0WEeZI430a/iSNOAhvo2Y+rAdAPLds0Q7dMZjri3uxXev1gS1lnbLQwGo3rAz6vFk7IP9wL7z3f57VKtz/mVpNxJ9dMB9iZy7jeGXNAPcT5gPLoGR8fUALefmpL3Tb7d1lgmWya9UWb7hWMAe4xLj6mivl7edn6mef6zbJ8tmVSbt8lEJRtUnLlCO7mC59OrlKvZfTyQtGV1/t2SIaWSrR3w1eS+dv19sLYTXw4Zj7dGLR9h0D3ljsbdvYwRBsF0PTB8vJM695FPzgf+zoKe/Bj/7vDYIHtsX/eMR6Yabf8GbS59GZ2lrs889W6z//gD4Ci32584cwefZ/0PQbixToxxEgFLWo/aHt3eaD+Awh+QPlvgXb0lvVG+Bz8Ce24gwY006e6jBOCwkYC/DnH7C4h5Vn82QYVsYjp3eRJ9p+pvsiu2e/w9afC1W9Ci0n35l/udz8Ha9y4dyBj7UlZCnb6hhWw+FOOBo1U9tj1QFACGjDlaq7M7bbFtAiItox4YbM6fXk0F9mMbLAeFK7YXF59MnaPlbT8ZJ3IHjalRXyBCbtVgtYbvQdUIrApY7Z77X/q4ClxNzpG9Xha/bty/+ZSH5H+91E+55RNnO/bdfv4kBQTLpiHdo/Xk6WLdyhdpMd1oc0we+mWU5bo9wcoN81B8hasKJ58cnJAplg345qkq9woJYGsoSVrIa0cKj0O4ObRVW9cORTp9/To73qSM+No7TsDD/kZlnMWDT+SBlvWM0T4KMchhj/9/QXUdUv2EPwNYs/q9ChRw3dtvwDDuCC/AuFldU4h+/8ib71BW5KzAG7nEZPbyc9203W469dW8W8AIutULRHO9Yb84Jo21s4cr4/F//flt+CuglyxpuDHhRM4O1ka8hJH4xoG2D45M1DzTOw6HXhwgXL3RTGfRhHjxw8GVRhFK3cnV0dVIl3/Xrv6erPv/aegwDvvq+0MiCpEuCnNto2FJhL+Fdw0H22HA/Lq89O1Yo0u74EKea9PYv0H6bcQOVRFk9hBLggwDwawXBfE8ZjUd0CZWSH7jXkrb5fald2lWt09FFqh9OfIeOUHjdqNyoiIwYlaYMNhJr1AufXUQGJ9iGT/iCafsLMGXOKJDWHMx+YHa0sEO38zYtB1at6vWJqDpikL5VV7r+uvejNLFpacX8uWhkxmnHHqGyhojkFfTHGO8i2cBUZbYCB67ABHmOjM3+dC9r/II8pi570HswdbR9tlDWT2i3/z9kL8ub/Zqi/wBrgMGL0ybYhhm3qcttMXY7AZAmn2j/eu57M3/Cs9B9trSw2sgUQ+FsyrFLREFq2ryRfrXhKHmhfQlp3KSNPv9xIDuw7oS0o3QhYaf584ePapxPKiwEWJ7S/PuABGTmzjZQsf5MMHPuI9kf4yXsLI/YZ66SMEOZRdzAwXBSgfCWV711wSNr6lDR72GSNpYSUUV8+rOOKlrx4smnu226S7srCbvryrpYWLBCQxsxqJ/e2LKsZICC/ksqf3mUOWws6ZfjKuqfFHdrCL9wAv1b4IP3rjnfTf/jD8uYnd1smhfc5fu7jWqEMVgiof75CSro19SX9RjRTBz409HLFPZ2frCWLNvVS1mJ55Nk3akmbLlWV0L1DsFIfTYDlFpSM0QaU8YW3m/q8S3NaWLxAeVFulN8I+Qtn1dfwzfV80XqVDMLZku+fsnwWzMG+W59Ay9CI22S0lTc9h4nJ0y811m0TCgXjdFkXkg47CViooj3hfRpW+NH0HdgpgIWIaAP8oU5Ibt/Gt2p8318s6qaUbfntk1b9wzvDmsjgCR3092E8j++yhhIOPxzVVvcRTpTF+MaGfhBo4WtfKN8YDLzw+2oun/kO+NhEv4z+GX2B8Y2jv2qoFI+fzewmY+a0C5gAIQ1swZy0uKPlszWVVSvqj7T9rR+dfGfh1jua++JRLnyLOH8Ah3fYBtXt1rm7pNRRVrfhhDy3ZdRbSxHKK9+P8RKeoxkTsIX5jQEt9ZhsFc6eOS9zlK/F+9Wiif8W8XjIO/hGcBia+ftC//FQ5yry9fqn7A8cdqHvgBVNvXtKBXU3AsUfZAVYbcQqRPPdOHnPqAf67alJvXzkIPS7qCuu243TrjNQ3ya246PfHDv0ogUp5LRxsx/Xci7iMDagjWCsgKx1Z/VsSu5qq876yBpgiGCUEf0n5ExDFkEaMBKBvDZoYsuoD5UOVz518j0VuyOTzFjay0feNLPHovGYmRfHJTACK4zFeLcZbwhv51gk7xO7OIZ90dmnzWCcu+cBT5vp8MSdtsnhnfmPo3jW+M595g2mVC5X1cC78u8j0FbhZ/bVD1vIvG+TjUgcjPWh2hvmgFdccYV2neFv+ILihivn2wJChM23YKQPWchf/sa8CtcQl6dA8EV1LHrpw8Q80xDLomAchXV8qDEvGrkbbgZe/eDifNq/AFgcgTFK0+ofB+zmwr3RtiH/fCL5XaZSFs0WhgEYq8zzGrOMN+7rdpbK4vdeVIcIWugGOj1VXtopJS6C4ZM8knJFei92UuAgbX9Xdkgn3P4M96bkuIE2CD/2COh7YjkGh8szVD8RbFzSnNVcwDwm+ecbqSzgdP5m5F+89EUjLuPQR/+yJdxvBzJiROOOCQzmIxjnYLSBhUy4l4o2DH1/kR5vog3R9NHIC2PrkAkdZfY6JUso+cnQ9eF6Q+VKcuK8HvLS+w1CFitWbeqy/1Qw53769Gl1um7sBPSQNU2DN8Dc3LC8M69UpEEUrDIJkAAJkEAaJgBXQLAAwu4OLNhdSgEuUrBIhEnY4Emt4lI1TKRnTFwv5h0LcSnIJZxpanjPKY2Xcqz7xKHwGvzuAm1sY7aIcz+n1JsirN8Hqd1cUPJ1etJeMZ56a5D6S4ZdWM92maqNIKCcfb5f3dRfaAclhOHPM53GX5IyhgMsPo8acgIMjh7pbu0v1a280nI6xrgJRefYWY/G7dDGS+UdYP5w4d8LcZOvUwPHWLUphzajqQFN4pfB8AWXI3cmuTFL9KsiiU+CNSABEiABEkizBNTy9ek//tZWxlVqXFrKYrxTwxfarz/9maI7lNJse4pTxfme4wSe2V5yBA4f+EXXyWw1dclVMs4VgssuuFNBOG7jxizORXQ1exxybnfgqqsZJXBiv5w4rXeYRHo4aQJXOS5F//Vnj9uPSncVoLLY4RvAeRw4sDeYmzyHWSTE47FqU1QYp4LXbxxakb9Qdr1FhYEESIAESIAE0hqBz0d/Lzgst5zy+Wj2O50oHH45pjTeF8+PDCj2gb3K4acKV6S/XHBKOkNiEuB7Tsz3xlInHoFct3pcrC1TLuHg5goHMP7u0SEnXmXiWGKcRxEs7N/zs46+It2loRawc0mBAx+nTVirz9QJ5iIkGKtLPQ7+yFct3S2l/p+964CzombioyiooIJ+0qRL78hJPXoXpEqRejTpTSmKYgdFepEivYOUQ3rngKMX6b0LSBVURETEL/8sebdv3+4r+8rdwczvd8rL7iaTf5LJZDKZhKVzxGZ91OscW/WbPCpKFq0ukY4tPh6FcscO2SBCZb1ieqfVo1A/b+sQrD7FSxZvWyDQ74lblX/acY0mjoiSx2+xk1dH3GDLxAgwAowAI8AIPE4InD9xlyaMWEdrxQ3miNfVoLlrzPS4jgduzO7WcgqdP/Mrlauai5q1KeWIbYkjYnOnbhML1Z2yGoj9jFvSmeIfAtzO8a/NmOP4i0CthnlF7Pc9MpSPuvOhUs281GdgpfhbqRBzDiNp23cm0N279+SllQ0iijnix586fJumjtko514Q7q95VOnKhfsi9MYMate9gumFro9qvb2t1/VLD2jmhM0OPaVhS3HpM1NQENiy9qIMN4TLNIuWykxFSsfcNRWUAh/xTCcO20mnjl6m4ZPrP+I1ta5esPsUG4ytsQ/aExWjURWAC0E++LI6hZVIEbQyOWNGgBFgBBgBRiCuIaCfD3HJw+eD65peyBrX+Dbyc/PaPRKh0+QNzSsX7pd/ZlSvWRFq3jnM7BGnxQMEuJ3jQSMxi48MAjh1OXpWBA3ru5rWLj9IzzyTkJ4UN3D/d5/oCV7BetXO1678TgkTJaDfbt6n2RO3yj8jwWmpS+9KVKZqBuOjR+b39au3qWPPilS8QppHpk6BqoiKWYz8lE0CF80xBRYBfax/5IzLYPuPqhXYQh7D3J544gkaOVMYi8WFe48bhapP8XQbSz0LXlTZ86Sm0pVy0Fv1s8cSF1wsI8AIMAKMACMQuwjgxvnaDQtR5bezxC4jfpSeMn1Cwo3tUN7mTd9OW6KO089ntLPTmbMnpzKVc1PdJgXpuRf9KIQ/jXUEuJ1jvQmYgccMgcRCZvb+toL8Y/IdgQJFX6HI6LYEb+LZk7bSrq2n6NrlP+TJVsy9FarloVqNchE9GtEoLAHK9XpS8Qx/TGYIpM34svAwD6MGrfKaPea0ACEAg3zh8CzUvEMpypL7+QDl+nhn87g7YYSiTz3xnyB9N7t9+zYlSZLk8e55XHtGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBGINwjAYzZ12mTU8N388YZnZpQRYAQYgbiKwCO+nxhXYWe+GAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARiHsIsME47rUJc8QIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjECsIMAG41iBnQtlBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUYg7iHABuO41ybMESPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwArGCAF96Fyuwc6GMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAjEPQTYwzjutQlzxAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMQKwgwAbjWIGdC2UEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRiDuIcAG47jXJswRI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACsYIAG4xjBXYulBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYgbiHABuM416bMEeMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAjECgJsMI4V2LlQRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAE4h4CbDCOe23CHDECjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAIxArCLDBOFZg50IZAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBGIewiwwTjutQlzxAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMQKwgwAbjWIGdC2UEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRiDuIcAG47jXJswRI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACsYIAG4xjBXYulBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYgbiHABuM416bMEeMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAjECgJsMI4V2LlQRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAE4h4CbDCOe23CHDECjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAIxArCLDBOFZgdy70+qUHVPn14VT1je/ol3P/xAGOmAVGgBFgBOI2AiP6RlN45gE0/MtNcZtR5o4RYAQYAUaAEWAEGAFGgBFgBBgBRoARiGcIsME4DjTYvGnb6Pbvf1OTNiUoVfqn4wBHzAIjwAgwAnEXgRuXH9CKhfsoTbqXqM17JeIuo8wZI8AIMAKMACPACDACjAAjwAgwAowAIxAPEWCDcSw32p3fiVYvPUhZc6aiBs3zhpSbf/4ialB2gvTS2xZ1KaRlc2GMQHxCAJ7/GCf441MAWsvN/H6vxKNTw7khb8ol836i327eoSZtS1CixCEvPigFqj4GmQzZHEpCG/I8EHjEB/ZZL3HFWGFiBOIiAtD93Mlx1Yfxf6ZHGwFua9/b19P48T3H+P3F465L8Lo6fvdfK+7VOI8N/dyKJ05nBEKJwFOhLIzLckVg7tTddOPabfqwbw2iBK7POSV0CMBg0+rt72WB4+e9y97eoYOeS3qIABZsC2ftcotHomefopx50lCx0lmpdqN8j4zB1G2ldQ+xybboh91UvEw2qlovq7ef8XuPEAIIQ/LDlG1Ur1kR6tyHPcwfoablqjACQUGA9bugwBrrmfJcEOtNwAwwAozAY4bArk1XqPu7Myhdxpdo4oIIeuqZuA1AmzozqXPvKpSrYDK3jI4fupP+uXuP2n1Q3O17dh/GN9z09WQPY7utHojv/iVau+wAVa2dn8JKpAhEjpyHHwicO3NNei3ib9O6o37kxJ8yAsFD4O+/7tNPO87Sd9+uokphgyly+uHgFRbEnNctOUsrI0/6XMKaJUfoz9t3qV2P8j5/yx88GgicOHJZVmR79El6wGH/H41G5VowAkFEwBv9Dou5HyYdCCIXnHWgEfA0F2CjAEYAnicCjTznxwgwAo8rAseP/EL3//mXTh+/Rnt3XY3TMNwU7J07c502rva8Vj6w+xwdO6ytL4JRqfiEm7H+7GFsRCSUv4VH8dRlEaEskctyg0ChoqmpcPhrdPPXO1SrQR43b/IjRiC4CBQrnUXE5i1PCRO6iuh79+7TprVHae7U7XJzY1jfFZQ2/cvxatNJeVK371nBZyCrN8xB+GN6fBGoXu91OnH0F3q7SWF6ksP+P74dgWvOCHiJgCf9DmFjRn27mmq+E+ZljvxaXEDA3VwAY3HdckPlXQfN2rzBc0VcaDDmgRFgBOI9AhWq5qZl8/dSukz/o7Dw5HG6Ppd+vinvCdu785zg09pzGPPFvl3n6ZWUz9Pfd4gSPRf4apWumJMiZ+2kLNlTxXncjLV3tUYY3+DfjMBjgsCTiYgGTa79mNSWqxmXEUie6kV6LWcSSxZfyxkmjuOHUdsGk+UOL4zHYSWqW77PDxiBRwmBCjVfowo1Oz9KVeK6MAKMQBARYP0uiODGYtY8F8Qi+Fw0I8AIPJYIvPLqUzR9ZUS8qPuh/Rckn4f2XaRTh29brq13bT0tvaZ/+fkWXThr/Z4/lU6dISHNXd/anyxi7VsOSRFr0HPBjAAjwAjYR+C5F4iavKvFb923+yzh2A0TI8AIMAKMgH8IrF54ihArnYkRCDUC3PdCjTiXZ0QA3nXoh0yMACPACMR3BC6e/9VRhfWrjlhWZ0vUccezw/svWr73uD4IqIexOv7jLZidP6pM9ZrHHP2H5X/2xC20ZcMJedQalzvlL5ie6kUUo8KlU3rM9sqF+/IiHDT6z2duyO8Lh2eh2g3fcDqujVtcEQPUGworlomGTq3jePXOb0Rzp+2mFT/uk2WAMmdPTpVrFqAGrfJ6kyVFTjtEq5ccoMP7L8ndjJx5U1OVWvmpVqNcRDZM+Li9s3urGV6VjZeGTm7muyv8A6LRA7bQqsX76drlP3xuG8QrXTpvD+0V8WEQgzVtxpepco18VLdJQXruRXPWz5+4Q2MGrxNxKk/Ib3BMoEjJLBTRvhSlSOPadXGkcOqYjTR9SUf6X+onyfh93oJpqU238pSvyP+cCjT2Wxxfm7a0JT39bGD4Ms/Fc+qF03/TlFEbHOPBU/1VP9DzP3fSQZo5IVq2WZYcKem76U0cePval4Pdz4zt4AmhTr0r0rPPJKRvP1lCBYtmpGHT3rb8BDcXN6k6gS6IieO7Gc0pX2GtDyB9/PCYfg2My1bJTTXqhVG6LN5H8d8edZl6tZspy+8/uqFX8sqSWR8e5C6QTr6N4zanjl+lsORx52jQkM830PxpOyhT1ldo3LwIebxHHftVVcQRYPwpQoiKhu/mN0XgxxlHaen83VJuPvV0Aik3q9ctSJXfzmL6vpLzKk/Ig5H9V9GOzacpwVNPUPP2pelXceHoD1O3yWPI3b8sY5oPEtE336k8gp4Rc4qSL5Yve3jwh9BdRg1YSxvXHJXzHGRh7YaFKGtOz3Mcvp08OprWLT8ox/SLyZ6jAm+kp2ZCJmbJ/byHksXcJeTBgpk75NyFb0uWz051xcVx/z4QAfUtyN952SJbp2Rvx6HxUkh3/eW/+0RjBjnPWWb6gDf8eXoHi+u5oh+hbyq9o8m74fTvv2Li9EBRy87JI2o4Cgd9wFd9wl32dudER56C/cgZh2h55F5ZNxD6K/pNi47F3F64OXv8fvpxzi5HXytWSuhijQtRjvxJZT6+ynujvqh43LftOk38LsqBn7f8Gb+DPKnbtAilTvcyDfpiKc2aKC5ziWzschmxv2PQga0X//BVb0IM3gUzdzp0Jl/lw/27RCsXHffpMtEeLSNp64aTVLRUZhowoZZprbyV3YtmHpHzOeaMqYsjXLBH5jDkjxu6kbp8UtK0LPqPqHn1aYTYtpjrk6d8UYYlUGTU74x6DS6d1V88625uMPahYPc91MFbLM3B8S/VXVvbmSeUPlCgUAYaNqUuLZl7hGZN2uqQGe7mNndzgV7fQ42h95XJM8CyD6gHwRg/ik93/chMd/evpbz42rCmU/pAs7YlaMrYTbT4hz30z70a9KbFxcLe6hJqTNvV0b2oCY3oG01zRL/BRcj9x5mftDt77E/auPYYNW3/ummWcLh4p/Jw+eyjb2pR3w8i6a5Yd85a0cntBeiqfes3L0qdPgo3zVufiHVdm/rjpe7X7eMqVCcit8s3vq79/J7nBQe+9n01xoqXy+aoN2KFR87Y4aTX1m0eU78V805I/RO6BPpbtTr5qV1PESJAZ/cIdn/xx/7j0lAWCUbbg6e1uz4bb+1YxqJ9nYvQb/cLe4yaZ/XfI+9CxTNRx14VxTrYOS6Dcb6E7B4xs66RHcdvX/myzMiPBydEvGVFOzedoFZd33DJ7c9bJPql5omMhxfOXhf/zebyHtnUic363cDxjahI6dQuZfhqm3HJQCQE2s6IMlytbmYlByENCmHtd2KMxe+3iKTtG50vQIKRcHv0KfnnThkFe998sIaWzPvJiVN8v3H1EfkHRW7yjy18ikkCo0Tj1jETACbIYX2Xu6Bx8uhVGvnNSpomJtmxc1pRmkwitoEJYVH5TZ9F0vipJwhP/A3rt5L6jaxPxcq9avJ1YJIwofoab8aMb33bZM2ZikZOb0zweDTS/h036NP35krjhp5gsBg3dJ386/hBJRdju1l7Ig8oMfirJ4wcnfto3pX6fGE4WzJ/j4gPk5I+6vyDXIAr2r/7Z+rQeBK907IYdfjQOo6NsQ7633b5cpen2TNlbNM/09e/RafS1KKLq9BT71++eJeGf71cLuQUZRaYKOO8v33ZjGd9mp1+5ilP/XPIjzoN89EfYvE4auBqaSyAQpghW2LTbHZvvyQXDfguX5hmLNYrbuojYAzFE38Yy55uVMV3yOeLHvNlX4MC6M3mlimTj1Di/MkHpbEYSmG/ke/4JHeNMJw4+Af1bDvDSYYAa4xn/E0e9RINm9rMdBNJ5vXff6QM+jHyIAGFl80qLs+7Jw3GW8Um5Z3fy5jKMGSxQcwh+DZfeGa5GWWXYEQbM2iNk1yCLDSbV4xlmH2LRUeU2DHHX8XqeeiTwZWNn8nfZhji28VzhTwVf1bk77xsla8+PVDjUJ+n1Zyl9AF3c5Y3PKt3bgmd8r0W0+n44RiFVK93uMvL7Fu8r9cnoA+ozS13ebl7ZndO3L5BbIK1nenUV1EO+uuMcZtpzuRtpptj8E5r/bYWKkfxhb62fOE++dfrq+r0VgMTRdxNJYz6Il598DdRjzYLpH6oJz1/XXpXolpNxEa8gb54bwWtWuR8uRl0sM+7L5BvQm51EQ4NJO6Z0JM/Y9DIg7vfvupNMPRG1JhMZ09dc8pWLx/qNClE3T4tZVns4QMX6K3iIylbrlReG4yhp0DHQPt8NcLVWGwmd9zJ7hLlc8j5HGGW9u26btr3cenp8oV7qVGrcFNZvG/HdWksxgZ5vkL/o1/OB/5WzNjoe75iadnQNh+4a2t/54nTJ65Sw0rahr5iz9u5zWZ1nD6LrfETCN7t5LFv+3Xq3XGONOzp8dbrA9AnzIzFZv3QnS6hxrQdHd3bupWtnEvq7Dhpd/3SA1O5sFjYB3ZuPklN2wiDsUGuo5xNa45Ix4sSYjO0RMW0VGBBRpF2VDpJNetY0JQVGE13CQcEEDZRPRHmxt4dZ0ncIY/NjMV2135253l/+37UysPCPpOVhvdbJuW2IqXXLp67i3p+UYMGi01YvZ4EDGaMFxv6wnlu1IyWDqN8KPqLp3bCc6P9x5tv8I4/NgKzbz3ZsfyZi9Bea5acEf3xTxrylbNta0vUCelc816fKrbujPGHL2+x9uY9jLlrV2LsT1ZhKXZuPU83rt52ZGl28Z1dndgbPtU7/tpmzNY+yDsQdsaAGoxTpX+aok/2sMQGk1T31tPpn38eUOcPq9BTOgc+CPzz4hbDiHalqHy1rJqBQdj65k49KLxMV0uldEz/LdS2VzGX/Hu1XkSb1x+TAxzexA1bFndMGFvWXqSJI6OoivBmVQGs3e2GwHuhe+tdVFYPAAAgAElEQVTZ0hBh9EwuWyWn9NYs92ZuqtOosEPAoV4DhFcElPVPus419UqJnH6YBn22VPKOHZm275d3GKPOn7grdnQ30O3f/rZlLMYOhTvcVyw4SV/1jJSLoK7CoOULYUfwmz6L5aKxUs281O69Chq2om0Wzz0msF0vJ4GOjae71Bs7lt3fnSG/zfDaKwRvMGUMx6Q+e/IW2rPtLNVq6OyZ/VmXFbRm6QHpqdVWlFe3qdihFBM8vpk5YbP0oIEnecKECUz7w4xx0bKKaL/mHUrQ8y9pRr0hYsLC4hLxXqvWzu8wLqp+C0Woec0xlvD4y5dlxoYHw7/cJI1t6M8NWhQVCk5RachC/UeLsbBy4X6aOCKKkr2cmGo1zumS7a1bf1JP4e3637//0dgfWlOu15NKo+YTT8S8aqcvB7OfgTM78iOZkCElyuWQHnBrlh+mVtnMjejRwrMAVFR4qCtlccTXK6XiBo+jD7+uoS1ORb+eLzzqlgrlMmvOZC7YGhO8UQCN3wTy99XL4siDIPSV9BlFR48DBOPsCOHJC54+GVDHaQMN3sP469dzNS1bsJc8bXzAC7Fr86mynSBDenxRzWFEgGfmsH7L5UZAj3eF/FkQ4TSnKCgWzdlDf/xxl+o3K0xt3i8uL77BxK9tLiSmvGFpaf+un8XJlNNUvnomUwS3btCOKoULbwq7BCM6NhZBuFyzjZgDsuZ5Qd7ePnbQZqk8WxHmD/WtXg5jvpo6dqs4mbNVGsCSJkvsspGGsa8whKdDh54VqXxVUU8hUzeuOE/9hXzXLxz1PPgzL1vVxZjuyziEFzj+VP8x5oXf8FAZ/OVyW3OWWX5WaRj7nZtqhlE1V1Wvn1vqGYf23KIvu8+XfdOMsEhT36JNuvSuQqXfTC9f1esTWNSPn/euWw8ns/yNab7Oifi+cHhKypojBaUVl5o0bFHcEfcNG3NoM8yl2CiburgdvZwyZhPl+yHRcuEIfaP7Z1WpTNUMkp2o5edp7OA1FFZUG2N25L2jXsKLtF3DmTImnRE/6FMTRqyjtcsO0aDPl1HCRE87GUChR2KsqPn13a5FpUzQjwVpbHx4CkWV6c8YdPDtxT/s6E3QpbEB9sxzT4sTWCXFv9PK8a2XD9ApsuawNgZjYVqhah764JvyXnAp5kkPm4J2ZHcycUCmQCHNUIMTGPkKu3rsbV5/Qhp2li74ydSQg+9A8JAiofN40u+UXjNx2E6pV70pdMPe31awxiAW+p4dLK0r4PsTT23t7zyB+SfZS4mdTn9h0wQOJTgNaja3uZsLcDpw9rqWcqMUOn2qtElpzMxW9HIqnRKsgyE2xo/vrRCYL25cfuAwFkOn+qh/TXnqAycnBn62TMpNUMVqrhd/29ElMKbt6uje1jjX68nkBhE2irZEHXM1cAm9HsZizEtRq85T6SrayTx9/pAroGKls8r/VxI2AxiMtwjbgpXBWDmiqM0pT/x+3ClS8gAHOLPNO3/XfnbmeX/7/pVLv1HXiClSp4VzCBzm9GtV1Ldtg/FynsYGeMnKAnvRHnMm76fRA9dIRxDYaD4aoMncYPcXu/YfT22L5/7YCHy1Y0l+/JiLVH369/lRnLh8ktr3KC/sDQWkLnRk7y3q22uhtGlNGbNJ2ORyOJxp1Hy5fulZ6tNlrjksAeDLPGPfUxGLGDGJsc5/NV0yqbciLMVrOZ1tBbu2aI4HpSvmoGPCI/niz7+6XHxnVycG16rf3fjlP2rbcLzkyYzs2GZUPsG0M6IM+65SZjX1kDb9+030151/XAyx+KyqOPaCQND4v+NmQqHw4jjDx+J4CChq5RHCjp6elv5w3GEs/ua7+nKxrPcAg4FyfGQj050855y0X8sXHJTGYnhMtO9RwukVLIoio9tSx97hTgs4LCxGz4qgFKlflMbTbZu0o5vqY0zQ44etlz9rNyokO47ecxFH3/sMrGR5lMaMT2/TsKidOV4zoLbqUsanhSf4huFHeU6CRwe2om3gJTR9aVs5EFHvRXOOxLAlJoRRA1bLbzE5Iji63nMa+QDHiYsaO3kfoj1hLMZic8qP7WX7KwMfvkH7fjW8rixnoTjuionJSFggjpzeQr4LYzEIk9igCbVlu4Kn6HUxsWrU90metw5BEAi+jHya/T6466Y0iIM6ieMgbXtoxmL8Rv3RBtiZBk3/Pto0ziIWU08//SRNWdJSGotBqP+rGWM83+32ZZmZCfnTz0yyM02ykh/lqmoeZBtXCUVX9Dsj6b0AKlbPJx8j7dxDb6xWXcvEGAdEv67TNJfsl1YhSfT5f9JlkVsF0MhLoH8DE1DOfKkJlxDENmFhq7yt0X+tvK0TJtJ4feZZoZ24oRHCwIrFJMbthMgIJyMODGwjpjaXsgJK6Yzxu01zgtGuRYdS1O4DzViMlwqXign/ULK8tumyevFB0+9RJ3jHvJw8CZWtbM9gjIXWuOHrZP4wkuNyTRiLQVDQwJsa10Ym9PMH3tHLYWwkQUYAaxBkBwx6ehry1TKJYf430tH8tW01o/hDDxso7zDqw3hmRnbnZbO8zNLsjkPVf4x5AquxQ9Z5PWf9MNXZy9SYn7vfI75eL/sd5r+ZyzvJuUrpLpC7A8c3ln3TjMYP2+IwqqIPK2Mx3oU+gb6OPo92w2LKX7I1J4ou8f2CRrK/6S/gxEYL+m+u/Gkkf6uXOI+b44c0b+taQtdRxmLwj0X6rNUtvNZBrOQ98hrz7RZpLAZGs1e1dcIP+tTnw9+UGyOgOWJjWs0LOHYMvQGETXuMHYw/kH4s7NpymnD0UpG/Y9CRkad/2NSbkC2cKaDrhlfQjMVIU/KhWTstfAO85fSEen0vwn6BsHHmrbEYRm2rTUGVv13ZXe5NbT7fs+2MXBDrCbJte7R2amrtMjF2jfO9+A3DEEjN9ep7d/od3lFzkZVsUfmEuu+hXLtYKp79+b83be3vPIFwcVgj6Ddp8hZ6Wa6VWnctK9k3m9uQ7q69VJsneOJJeiGpubFYYRPK8eNPe/j77Q+TtzocJSaITXYVIghrJchNrNdACA1iJLu6hB0d3Vi229+iaYuX0zx8txpOKuM7GImV9+ty4ahgJKwj4Z2s1/GKl04n53bMM9jENSPliCLLdt+9CMZgd6cxArH2szXPi4rZ6ft6PGDXgE6gTlertWp5sQEJgh4EPUcai0FCt6jfMq+cg0E7hMxGSABFQe8vMUU5/cud/cfiE0eyPzYCu3Ysu3ORvi6p0iQVYVc6U8M2mrEYzyAThk5qSkleSETYEPhpxwWX6j+bOKFLmkoIBF+Wmfv44MxJofQJSinq2bxjGbnW2bNNMw47shJ6xqG9F2R9G4t7gVKmSuq4+M6pOJs6sT4PzEOYj6zIrm0mFHZGa66tamMzHUf5lLA0GmI9ZVmsTAa5Q4yF//WruuNlopHnTdsuP68jYuMVKetfKIezx+/IRT06lNED2hOPmGwLiR020GkRS1RPaoLG4ua9T0p5yiqgz4f3XScnSoQIMPNGdVcYQnxgQYhvzY7O4NvEIv5ww1aa1/fa5drONNLhfQwjMgZgry9ruCvG6dnSBdrx6DbdylqG9sCCCDzBMLpmmauRJ1OW5JQtr2aMccpcDPYChTPKpMuXzHd3rBgNBF9WeevTV/y4Vxo7CpfMbIl5m24ihrPYnIAgX7tM85w15t28Q2nbYQDc9WVjOeq3P/3MKk99ujv5UaREamk4QD/HMVYjKS+AXPledRg+nhZ7A2rCO3PC+Riv8Xur3/C6wckGKEMf9PW+j1vl50s6DJDvRyxwhBypWvt1Xz4P2ruDv1giZUbJCjks+6+3hcNQqy4haC+MP46NRF0GUFARngaEo3FGAwPSYdiykl94Xl6cGIGcUscZddnLf6pwFAWLZKTE2v6L8RWPv6eM3ijlFWLiW4WSqdtEq4cxMxjkgCkWLx17ms8fqB8MPpAd8LZXBK9OhHpC/bp//hY9aRItCUZ9bDj4Spbzsg8ZBWIc6ovzdc7avM5cfnqqAgxXKgRW148rm4ZDQd8sWcH1mCqM5Nj8BjUT3qBmIazQ11t00gwlm9Ye8ftCy2DMiSUeLtAvnLvhBFeSF7SN1wsidIVdcifv4TW7eqk277//aTVTuYBy32mZzzEvqE38Y4cvyXEIw8BbbzufbMI3+rFw8sgVB/v+jEFfMLCrN3kqo8JDb8ErF39zcrr47L35jmPCCZ403zQy5o3NYYS7gqxpEFHEdFPQH9ldtGQm2T7wFjy056ZT8ThWjnJByltQ/wLaGemQhfpNDmMd7P6Ojb7nD5Z266m+86atPZXhzTyRIIF132vWrqDD0QOnyGKDAjl+YoN/fZkqFn356nlNY9DXfEfzvLt04ab0sFPkjy5hR0f3FacywjMQ9NOOMy7zpd5IjA0n46Y61pGYFwoVz+zQ8eAwgvi8IHVqQc+T3hFFlW3FM07dYcMDtgWEZzDTZQOx9gvGPG/V9/V1LVYmi2nVs+bSHDPAl5meU06c2gYmCAXw+28xtp1Q9Bcjw/7Yf5CXbRuBTTuWP3ORvu55xT1h8Oo2Eoz+2XNrNrVzp13X1cb31e9A8WWVv6/pJx6Gi8sm7ojJHZZMeMJnpsP7LjnJAOgZ0DfyFcxA2fO/SJmyaYD4evGdlU7sK89W77uzzYTCzhgSlzQMxMmjorwyxBqDPeOoZzYRI/eP3zTX4nNnrgkPFW1xe+rIbdnIoDfFpXH+0lARwwWTBgwQYSVSuM0Ol5HgQhd1UQ1iIt65LYLqCbr0s7OSu3fnOZlesqLwnLDWi9yWZ+fhtnUXBY+7bYWiQHk4igPydAw7V37h0SJILUYw0WLSBuF4j7cxP3FpBo6Gw7iBOEbuKIuIswdjnXGx6u4bPEuRSli4BZ075b0ADAVfkqmHu1z4Z4E3MsgkM4LXEPobDMYnj6H/O3s9Ar/8br435ulLXzZ+i9/+9jOzPPVpHuWHGFMYW6ePR0kjTr7CzsdJlRdAMbHJ4CDhDYAjVJAfM8ZvlselajbSPE098YPnKuwC/t1HHOnTH8n25ntP7xgv3nH3PrxO4eET26RiHMKw+enAan6zs2vraWkcwGZhgULWBk0cccfR1TMnr9G1S+JyTIOndf4w1+OHeuYgnyCncOzV7JizCkdRsoL3/UOfPxYWB3afl0nV3i5giUuCBOb7t/t2afNHgSIZ3Hq95xFyGPJTH3tLHbNC/TJkNfd2BUOejEW+zMuWFTR74Oc4NGbpz5xlzMvd722bTsm+iU0odxvVZm16/PBNR6iKYiL2nxXlK5hOzoXQSYJ5oaU3c6LxQhxs0Kl7Eo1zaXjZbPIoL04KpUzzovTi9YU8yXuEjsHc5/EYsJgXELcfBkRs4usvF8FlqQlNNk/AZ/pMr8hxpN9U9mcM+lJ3O3qTMX8YGOdN3+50MWbGzA/j9j90ukCYBlAtEbarRv0w+uz9ecZszH8LW606Vo3NL7MQcfjQH9mNTTkYbrDxtXH1YXEar7jkBQtRbApis7xx6+Lyzg8YgvTHy9Vcj8stg0Gx0ff8wdIvDLxsa30ZQZknHjp6YBwf3IN51PkosV91NPk4qOPHpLzYSnpOhK8xI8g/EI5M/3rtH8eJEL90CTs6uhlzbtKwQaTCi0WLjWAVJ1+dSsAzyAXoith40l9Qp3S84mLu0hPsCoiNDLnTslO40x0XyhHF0+aU/o4T3NcDo5ULBWjt55KvLsGbed6Xvu+uLG+fJX3pKeHN+aJr6K4Q9Bcjj77Yf4zf+mMjsGvHCsRcZKyH8Xea9C8RTlsZbVrG9/S/Q8GXu/KNz86f1cLCpcmg6UDFxeYGbEcbVh8VYQm12ORbN2mnkpSt61WxhgWZ2VdU/r7oxEaevP3ti20mFHbGkBiMv+79o1eG2DEDttL0sVr4BAUo4qohRIQZKYUeBoU0GZKYveJ12qThu+TAMAtFoc8EhiIcuYbHl570wdz16dih/fVX7YhwjtypvObH3xcRj2rAw5jJvoaiQNkwcvx2UzPS9/94EfX/2DeOVNtkyuLe8K7P9dpVsSIQhAXyW8UG+FZgEN8OFV9/inC0v964LWuSWcSOdEcvv6L1d+NiHd8kTZqYkjzv7mvtma992SxHf/uZWZ7GNG/kR3mxUz1dXDq5Z/sZubBUFzAqLwDsYpcyePthsYvJBBdhDfx0qVAk1xOO7tZr4Rq7Tc8TjvUihrbydDp7+oZbo5GxPoH6Dbn3bpeyVKHma4HK0lY+f/11T95SjRiZIMTQ/uWiiDnsxkDpTUFXLmvyAMeDzDwyVB4v/U8bC2iPc2d+FQZj5+3yF0VsRE8EYzAMxtujTzjFq1PhKGCkKFTcveHZqowrv/ztUIhz5dM216zeNUv/9Zp2YUPaDC+bPXakqXpeu/K7jIuMo/anT2hekjCc2SVf52Vfy7E7Do3l+DtnGfNz9/vcae1UQhaxcecr/XJR21DGxkqKVBZWS5EpZDhkOeZDtKOvl9X6ypfZ+zDeftB2lsuCTh3vNfsGm1dnThaVcbWhz82duo1qCa+1Dj3D6QkvNE5P8v7qQ7mAzb7wLPb0hL/u3qN7Yn/fLOyQatuUqWOOE/gzBs0wskqzozfp8/q0c0wMUpUOXXXvTm3Dylhu2WoZnEJvGJ/rf/96/U9hWI65SPfyhVv0t1BtE5mIV39lNww3MBjj0p12/wmDsdhYwmV32Cio37yovMhw20ZciK15CyJMCuZ9XF5qNte7q5cvz2Kj7/mLpS/1U+/60tbqm2DOE8rY9defmlOOnTp5800wx4835YfynTsiPKQZKfkH/fKlV2KMyv7qEnZ0dDP+3KXBIKzdR3HcYTBWpxIqi3B0b9XLIU5lHnAyAMOgDMcvMx1Pb4Tesdk59rE3m1M/bT9Lo75d5bAX/CzuaTKjQK39zPL2Ns3Xvu9tvnbfC0V/Ubx5a/+xqos/NgK7dqxAzEVW9fEnPS7xhXUQ7kYD5cyreUsXK51NOGKsdlrrIUQFnDPg7ADKlTeN/P8JEcvYSHZ0YmMenn77apsJlZ3R3KXJU218eI4LRhAbxJMhFt5pyliMGGZTFrWTF7nhb/jUZvKImpGUmzzigTzpIX6Q8Vv9b8QOwpFhT6Eo0Ii9xGViUMBxWcA3oxtQ9DGNx4Ub3xdeaq5eDdihVcGtEVg8VPT1R0ukcm0nFAV4ROgPqwt7rOqQQMTNTSAWhFi4/3pVM5I/mcD7hjGG8rAqR58eCkxDxReO5Ohv6fSm/v/ed43h7M13dvqyWb7+9jOzPPVp3soPLBhx1MQYpkN5AeQTXqbaJWfOJfYbXY16fVVdeuFjXA/vt4LK5RlCuGnUiuCh8Kc4TYCxBZkxTRiqYVgMJEGWQAbOWtHJ5e/H6PelXETM99g2FqPORw9ckl4YMIDB2wIGrtED1vgNx62Hmye+ZHT//n1fXne8W7piOjlHYbFxaHfMCREVjqJoqSxO3iW+FHLhvP2j+XojqLdl/isulf1XwKCXw95+a3zPzrxszMOb33bGoTFfO3MWwtIgLIavdOGh14Kv3+F9pVD78q3anPLlG3/fhWdUh0aTpB6AExiQk2v3a/oO/l+jvvnN8SgX9xMMmtBEng7Apj+Mx2XyDKYpI3e7Zcsbee+Lt4sqDHIalCd/aqlLYp5dPG+/Cy/QBXFcUb77ura5488YdCnATYJdvUll2aNlpLywCnXFKbm5a7s6dOgvhtZ1U7J3j7CxukaEx4FnN/7QL8YO3mT6sb+yW8UPxaYAPLBAKxbtk3V76+EpjSricjqMCxiEQDDoYP63mutNGfUxMdR9D+z5i6WPVZSv+9LWeD9U8wScWDBOgkHBHj/B4NlOnvkKZZCfrVm0X274GGnpfC2kVabMKRwb9YHQJezq6Eb+3P2u+FZeKSMO778gY+LqTyXg4i5sWJZ7M4+UE9iAAsHTEHLESseDoRm08sd9jqKBxy6xmYWyUKYVzRi3WZ5wQYhBrDGWihMR8Ew0UijXfsay8Tsu9v1Q9BfU3Vv7jxluKs0fG4FdO5Y/c5G7uvj7LC7xdePqfbp4/qbU+VKm1myIOFGKi3Wh52Hdjj/8G2kqNEfqtMmkARnf6mNr+6MTe4urHdtMqOyMXvh7eFtN1/cwEGdP3ubREIuA8vBOg/D9oG91qlw7s1NmeQokJxwhNFLylCZxao0vefotjl0N/mKpnDDchqIQ73337Qr5XsXqeeiTwZWdckYnTP4w3IH+wQsvPu1YoHhiJVDPEUAdCh8mqK4fV7GVrZ7vgeMbOR3n9JQhPNteTPasWFB4etP5uWpPGJ6mLW1p6v3jW46BeTtUfGE3Hwtsq9szzWqj4kWaPbNMs9mXjfkFop8Z89T/9lZ+qG/UURPs/KvjaMoLoKibo994F38bV5wnXOqBW3s/776A7t2rYRnqAZeMIW7sgI/WybAvuJQGRq9AEWRJMGIwBoo/Yz6QNbjk65UUiajZWxPkkR/0D39CZeg9/IzlWf1+/nkRD8cOCXvSG+IYNJT7dSsOiWPQ4TIXdVTRU1geO0V68w08IF9KntinzTtlBP3nrjclWL9jd162ztH9EzvjUJ+jP3OWe84C+zR9Ju1onC+5Pv+CzX7tSyGGd0d8rV04icsSh0+u7xT/Gh7/r4rjiu4IF0tiU0t/4zY22+AlaBbKwFt5n/RlTfEvIAwf7m48N+MN4Q6q1MhH08VCfsygNXTr5p/0blft4jsl/6HjYTNQXcDlzxg048EqDeXY0ZuQ36KZR2Q8e8hh3ESvvzwMz3Pk0bxrrMr2Nh2bamPmNKFfLtwh3HyPuJxlq+R2OWbtr+wGFmHFM0m5hxvNb/6aXm7mVRFHxNXGr9rkw3FxxFJW8cjLVdEuzfO2Tr68F+q+B978xdKX+unf9batQzlPYHyYnQqwW0f1XajGj798BuL7Wg0KUuSMHXJstaw9mT4SIdVwyRVOCw4VYV6wdsRavG7TwoEozikPuzq6t4wg1A42jHZvPSPkoTht+OddaRzGxYnq1GHV2gVo1sTNcgMKd23gVBlIxeo1lqU8EhEuCJfjYa2vHFEKFs3o8RJXhIzr9mkpQlz+kWKdgMvgJxZr7BSeMmRrP2PlxO+43PeD3V9waapX9h8T3PRJ/tgI7Nqx/JmLPFTHr8dxia9TJ65Kmx3Cnujvn4FTKsKmrV95iJ4TTiN4B2H7FMFwnD7j/+SFl5cv3abXkmo6p786sUdgbdpmQmVnDJrL632xWP32kx9lQ9QWcdLcxQTGAh1UumJOF2OxO4BTvarFAsLEh2O/dmh4v03y0g9PHtC7tl6VxgTsVHTu7WwsdlcuLoV76eECR3+Jirtv/HmG3RJMSCA7oShU2Xq+YUDzlV56RYuJ8PNZ773rVHviSPtt34v0lUWv3w8VX4nEIilJEs3d7byHC4MunNPi8iRP5fumid2+rAcsUP3MqhF8kR8qD3gQ4FgZjqmCP+UFgJ1CXGzmiXCDb+SmtvJiMpC8UFPEFjNS548qOy5Ra/t+WVkmlOz1S88aX30sfsNI8d2M5vJSCxxPbvN+OVnviSOj5CLELiFfEMK04GiRFV18GDMei5zkwhPSLsFzDXlsFhsO6DsqHAXmBlzCYZfSZ9RiAuL7X69r3nK+5PWiCEsAuvKLiFnjhtRziZs42IGF9SsPN1V/exgWyc3nLo/szssuGfmY4O04NGbr75xlzM/d7/SvaUbfG9d8b8+kybT2vCza89av1h7xeIZ3QKnSmMQ9dMegn8+uXbwv5Sio04dVTC9L9LYIGCOmr4xweCQvFHc/3Lzq/LUv8j7Fwz59+w+hZJrIZ098wViNTX/opjjVVjLHAArPPIB6d5wjNwtxP8BXw6s7ZWN3DHrixfjcjt6EPNat0C4Dq9kgzMVYbCzD7m9pQJwdIb0OEW6ofkQxieGIb1a4ZBkI2a0MOMsX/CSM+5pO6xQDXmzyvd24sDQIffPRIuFhrF3uCQNPsChW+l6I50Fg50tbh2KeUOsINT4C3b6hGD+B5tlufrhvA5tKGKNnT12j1m+Pk/KvSqEBtHLhfqkDdRE6rn7N7q8uoXj1V0f3ps5qw2jG+GiaNi5aegrCSKwIBt+qdV6XG1ADRdhG/B/9PV+Y+UYu3i9RLoc8OacuWVeOKJ42p2o30ozFKLtBq7zyAmbYGyZ9t8upKqFa+5nhF5f7frD7i7f2HzPc9Gn+2Ajs2rH8nYs81cnu87jEl7K5ZcqWwqk66mLdOZO30rTvN0u7XtnKznqDcohQF98FUie2wtaubSZUdsagGYxHDdgkDayeDLEATh2rVzdqWoFpTM+aM5k8Bg1aveSA8bHH3ypoNSbIzmJR9JSbo6nqqHM6ETg7qfm8Yl6eWLhjkgBtWnvU/J0ApiJwO47W2w1F4WBFx3fUKm0x4gub+cLSy9d3RJ/y2mik2hMT82pxYU5coZDxJTBXsUZ3b9EuDTTDALvcRw9elI/yFPA9JqrtvqxjJmD9zKyCIs0X+aGygAfB64UzykUs4gzviL4gvShw86m3Fy/C0KY8K9QlakYWS5TN7kjCraUtOpaWvyd9F0UwfDxuhBuQ9fGKy1TNID03sJCf9J35kWWFkTsjaJ4CaeTiBXG6D+zR4lCZYau8gHELrvHCO7P3rdLguZYzX2rZZzavPyeOKh6RfQmex/5cVpoq3dPyCDdILa6teDBLz55bM1b/JOJzwyPClES6fC4o9+sxsZZz5tW+3bpReNFYfWuaof152SI735K9GIcuGermLLWgc3knQAnZcj1sk4deR75kmzFLMrnJhL6FmKtWhGd4B8psjtwm11hbfRiA9Pv3/5NlQ7/KlMX3TUkzFt5pWVwmq0v89O/4Iu9xySXkAsIVbNughY8wK89dGk6IlRFeJnqCrvrxNzVp4qLGLl6M/oxBd3wYn9nRm5CH0qHzFPRdH1A8eDLA4zZ15aWHb5p3CJPGdYSci5zurCMGQnbDgIM2wXXf9CYAACAASURBVDyCsEcId2T0nI4xKJySYUZ8muuN4D/8rTbjzR7HRt8LBJZmdXGX5ktb212/uStf/wybzlhHgNT48PZb9Z6nzblgjp/EwoMNdMdN/OU/bokd6hASxtFng96mZ3UX3+GC+TdFmJc5qztTrcY5XbjxR5dQmQVER3fhzDlB8whOJOcHnNaEsdeo/yvnAJxOAHnS8dRleBvXHKbzJ+7IcBQwRHvanComLtjSU6cPKsu5C84oTmHsQrT2M4MuEH3fLN9ApAWzv/hi//FUF39sBHbtWIGYizzVy87zuMTXxZ81j6VX0zqfhlMX60JnuHLxFhUsktHJAxn1VvdvaRffEQVDJzbia9s2EyI7Y1AMxojBgaNqEIwdegoB6cYQC8BUHNozJ64Z8ZO/l8w/7PC00b+AXc/SlXLIJAhgHI2yJEOoVwSJHv71crkoqiGO6LjzgEaeTz2lRe+4dOGmjItkJMQ2wTFsM6pcI7/EAor1xGE7zV4JSNr8yQclD9g57vRhJY95Aj8c8QIdMLlYEBfVgO/tG0/SD5N8M+BWqJZb8gFlf8hXrh4oZsyBn0o1tXhRU0ZtJAQXjwsUSr6UBw28uzCOzGjCyPVy0Y3FfKkKmjes2XtWaf70ZeTpaz+z4sMq3Vf5oc9H4bfoh900adQG+cgqnMB/Fs59f925J7/D2HguseeoPQi7gBhl2CAbP2yLVbViPR0KEuIz42/PFoOLX4C5a9+jglSoMQ/gqLmRlMw3u1RAvatimOH39O/NDc+nj/5JS+fvkZ+Uq+b+skIjD2a/Vbw6xLSfP0N4mAsqW9nPI85iMi8crl1MOH/6Dstx/e+/5vHI4R0DLNG/5k87aMY2zZqwTz7He5Wr53W8U6J8TinD8WzIV9p4MMvg3weu1mS787JZ/u7SAjUOUYaaazEP+jpnuePR+AwxxjG/QQ737/Oj8bHjt1mbYhFUupK2IJ83fTtBFzESLsGZOV6TJSXKZXdRZo3vB/r3U089IfsNDC0Xz7sGuoQHPuLZ+kJ/3405JpDsJe30AL73Vd7j2HG5qtqYxIVCZvqYO74gByu/PpwyZ01BG49oMZkRE37qsgiq/LbrPRTIy58x6I4X4zM7ehPyUGP12EHXS1rwXMkyY3n4rcL4YINUxQs2e88lTXj4vvteWZk8fth6unE5Rn4FRHY/DBOkylWyWc+Hfiwh3Wqud+HdJAH9HQRvVqs+FRt9LyBYmtTXpyQ3bR3seWLcsA1yHQF5i/HhCyk5hnXeof3Wm0vBHD9phJMRCBermZ24wmmLaRb6japr73ZLpBfwxx2W+lJ9y3eR3/hha2nk9BaOOOdrD3Sj3t9WoBRpzHVef3QJPSO+6OiWFXDzAMZhbBwpcjqV8DBRP6aQ5EnH099xMfjL5dKpADFPjYZoN2zJR7nDkhH4gVMXwtjpKRRrPzP+/On7ZvkFOi0Y/cVX+w/q9EpybeMcbX/6hLMRyB8bgV07lr9zUaDbSeUXCL5gT6sVPoZK5xjsshntC9+nj12Rr2fO4exhjDS1CYR/68NRqPwzZtFOhqo1ajB0YlWW+r8/tplQ2BkDbjDGQFSxfmHMLVxa86wyAqP/rYQ1vIRx0646fnz53D3CzZ2DxLERTPig2787u/C16lJMeiFAAHeJmErDv3S+gGrL2ovUqtYM6tVmkRMLowZskItoePo0EEfrPFFY0eQOb4c+nRcQOjQIvM4c+xM1qzFKHmcEGXeSMUkgLAdo4ogo6tRwLu3fEROq4fyJu/Rl95VU9Y3vZIwkOwR+Jn6nGQRqCkMvjod7Q8obbcb4zdIQqCfEUEWsVtDwvisk3/oLobBDOrJfNFUrMsrFuItjTwiJAVq16AA1rjSZolf/7PByQz3xLYxXekN/885h4vKBzLI9I2qMke2pxwS4vR+xgLo2ne/Ea7B/hIov7Pwj5hX6e+9Os2TfUosXtDHqvvgHzUCGo/+YbHwlf/qy3X7mLY925Ic+b6NXktlRE/X+yP7RcszNnypC4jy0lx3ac4vGD10vX8me61WvDTXtu1eQBhbEbD912Pdj6t7i4897OCmAC6jwN3WMuQHWn/z130L+uDuyrGQ+jgNC9qmFFGSh3vCAjS8sFBGf0yh/4NXWuu730miHUxz1mvtvMDZ6p+TK96qIZ+x/OIDmnbR5CuMaF6ca56llc09Qp6aTTOHHoqR1Z80wM6L/KieZCNyA33fCcAYC5nrZj7kHG6Ig3BNgnHuO7f9dSxPtYCR/5mVjXu5+B3Ic6udazFm9Wi+i4wdilHv9nGV3rkVdML+16FBKVgt90zi/Kd1FyWpj/d/tFi71CeggLWtNJugpihBLt3HVMXJRCv2kTTdtHjXmEczf8NTHJaLorx93nivjECtCX61XYYw8Wgu697dzvBjERMS8Pm7wDqe5a8iXmrED9X4tmxYTzq687/lFJQd+bxUf4jRPQpZD14DehxjzRsJmUJr0L1OzDgUJ9y14Q/6MQW/yV+/Y1ZvKVtY2IKaO3ei0wFLjG5cOKjLqp8rDCW39kQjLgTnQWypSOrXY5M8r9bVRA7WwEerbQMhuJYMwDuBNbEbKW1B/y7nZe57SylbKJTfcYJzU6/iQE/o5PdR9D3wHAktP9ff03KqtAzFP/LTjrJzH9DIZMhFydYGItwuCvMX48IWUHMM3w/ouk/dUSBIyQr9pHszxozYX0a/avTM5RpYKHuZOOkhvlxvi9iJUzFkIeQaCR+yuaP82+7dFXZL51RLhErLl1YxgGiju/+uPLqHP2Rcd3T1H1k/VxpHZqQT1FS7NBOH0V67XPeh4us2rXVtOy+8QB9UOYT43C2MXirWfGb/+9H2z/AKdFoz+4qv9B3WCzgLdBfRpV2ELMcyT/tgI7Nqx/JmLAt1O+vz85WvutG3SngadBM6g7kISWtUDG3HnzmhOpPqwgOr9QsXTyXEIGwFCVBhJeRiri+/80YmNeVv99sc2Ewo7o/lWolVtvEgf3nedXASB4IHizgul5jth1P3LMvKYGYxkWNAiphz+FMEIg5ih9+/dF8fU19AScSNy+eoxjQvv5cmREdQ5Yg7t3XmefpiyTf4ZCYogOhCCWW9bd1GWBcIkXrfcUOPrjt/6C9jgLY3F/nZxPKpBxeFO3+AINjxy+3SdQ1uijtPpoyUoU/bEjnc69ykhlNFnpMEYylH7hhNNy8TRYXVhl+kLFokDP1silXbQFOFZiT8rat+zAjV8V5sssXDdKWK/aR5oyylKXDCiv0gGF3v9c/+BvCAGfLepP94lW7QRjkNnyOo8geJY07PPJZTx5RAr64N2s12+RQLw0h81HDC+FvV6d5H0lrZqT9za/vPJu5Q2swf3ddMS7SWGii9ckABhCaUOfR5/egLeXXpXIhz9t0VC+bHbl+32M2/5tCM/nPIWdStZMZfoz1Ey2eyoiXwgYl/u2XZGjpkhXyyTf3pC//LGS199g80VXLyDy5TgOTB0ah2n/OLCj9z50kj5iUlYHUMLJl84soyLBXCyAhd+IIabIr3MR9w8/Cnq9VV1hwyE8fPzwW9Tr/YzLeUPjkUPmfhOQKoCwxB2m7HJBXqjhLnHoa+FIe5nv5HvSKMwxraZXMPCxSpePOTwL5duEQw/Zt+CH1zaCqXVSHp5Yjb3YI6DUV7NH+p7f+ZlIw+WvwM8DlEO5trnEieiyWIOxBxidfJnoTiF0KqrtpFryZ+bB/o2MZvfoIimeDWpPPJmJH1/wLc928w0viLiTz9PQyY0JYS9iQ2C/Du492dHnEs9Dxhznw+uS/0+WCgvBoGBNryCFg5hqziRhE0pMz0Ex54R/kuFeLEr74Hf8KkR9F6L6dJwbTZPgl8Ys+ENrd9YTSnaZHnkXgrPMsAU1rwirEOz9qUJl/bpyZ8xaFqQRaIdval6wxwy5Bk2L+BggT9FwPyrEfVppzi1hAta4dXeq185x3NgE9G+JH3TZ7HcpGhTb5y4wNT7i46xWbpNlAsZXkHcFVCk7Ksy70DIbhhyIBdfF0dG9eEw9NApb8HEzyd03HJuAa3bZLUpMESEdTPq+I1aFaN2ObWQKrHR9wKBpdvKe/nQrK0DNU8Y9QA9Sy06lXbcG+Elq47XlBzD3Io45YrQryYtaiLj/Qdz/KhNoGFiA1PFDNbXoUGLotI54bP355lWDSGtsHENOQtSx5ZNX/YiERdAYQ3xVc9I8ef6AXSBanXyC4ef4i4OKXZ1CadSvNXRXVnzOiW8bDb6Tp620k6smn2ovIaLixM86AOe6E1x4eacSdrGm5WRyVMeeK7C2H3d+0caO2it0Ddbyrs/QEFf+5kw6E/fN8ku8EkB7i927T/QWdS6Wc2TelsKKm7XRmDHjoXy/JmLAt9QMTn6y9cziWJMkwkTPkVP2rBUXhJ328CZCPeNpEjt6hkAfaJoqSz09937po5h+AbfIiTi2VM3peOQXZ3Ya6z9sM2gjGDbGX3brvVQa3ifQiG1QxCUiKmkdnCwWKrfvCgt3vye9Bxr2KYAvf/pm3Tu9DWa+f1epyKeFM60I2fVlxcvwXALBRmEiQ9Hxb8YWpdW7OmsKZNigTp2iKvXiTc8w1t6+tIOQsBnkRMuykF5o2a2oH6jq0neEyRIIDup0QCF/Ft0eYOWbOsh64X6gZBP9jyp5S2uq3b3sGUsXjz7GKldT2/qoX8HAxtHMTt+UInSZnzZ9HMYetAORr6xsEKbRB16j2o1Md9trVw7M60/8J6snz7/zNmTy/zmru1K7cQlNE4kJu/+46pLXI3tWbpiDho6qSlFRrcNqbFY8hdCvtCfJi1s61R/9JlGrYvTyl3WeJs2oEmip778RskUNGh8UxHHJ7mjL/vTz0xYcEnyR37oM8udX1uwIq1khZwu5cgE0ZaTfmwi+6+KzYZk9FGMBfQvb730VQFqlxhj0RjT0ZyJ0KbiuPXH39SShWLzKugkJj+EpoCMmzbW+eQHyobM/7BfDYcshDyFp/CLSZ3d5hEuCMcl9TIKeeKG6kHjm8iYo1bGBDt1VHHEUUb5Khb9x0bG6E/oV10+quKQhWoOwVj/dJD7TYaOvcNpflQ3eqvu63JuA+H/+I10KAtWBHny3fTmEjPUC4R+j5it05e1lOPcjPyZl83yc0kLwjhEGa3eExvQApPajcIc9UU6ZOhb9V6X844/xmJVD7TJzOUdnOS0kiHz1rYTnguZXaqsElR/QBvoZZBqF/SVdFlCME4tOAR/P6zpIONaop+qMffV8HpyzOUt9DKNmNZM6kOjB66RhlnQ12PekjqXvq+puWvZtm6O8F/+ynvcJQE+wI+xrCpicT9lUTup2xhP4fT+uoKjTmZV3y/Cc73fchoN+dx1092fMWhWllWaHb1pwIRaUrYo3RL9EHrX2n3dqHSVdNSjb1lq3CZcbEQfJXgZ6glzA3TbKiIkmJItVrwZ0/Ve0fAy1sfx91t2C/kAHRBexO4I3oKWc727Dw3PsCkwaEITxzpE6ecvPzyOrF6Pjb7nN5Y+4GD1qlVb+ztPwBN03LzWTnObktWQ41g72SXIsRkPZbSa+zA2MmUTc55YDyoK5vjBJtDURTH6PPiA3MTcAZmS5EU3J0LFGBg7v6HjLhwVQsYuHthg+WJIzFrbmA82jmeIcEg1S37nOEmrf8euLqHPwysd3ciYD7/hGFa+ah7LUwkyK6EGla+W12sdL13GJI47kwqJey0QB9UuIYwd7hmC4XHs4E1O2QR77WfGsz993yy/QKcFrL/4Yf9BnbBuRoxvvQ7uVFc/bAQ+2bF0hdqdiwLdRsb8/OGrTbfiMowf5oBufd70akPHWP6h/Rdk0ispXrA8SYaTCPrQFPo8cPoM34JUXnZ1YiNv7n57ss3Elp0RPD/xnyA987dv36YkSbTjgu4qxc9cEYAX3UjhXRjRsXRAFqOuJXAKI8AIeEIAR/hwagDHTaYteTegxkRPZceF5zAGzBA3v+pPCii+FDYwJDTrqIUqiAs8xyUegF/3VjPkJUujZjeIS6wxLz4igBA6OA2EjYix8wLjhe4jC/x6PENg/dKz9Hn3BZLryQvbEAwsTIxAKBB43PoenH9GfbtaxIPNYKqvhALz+FLGwD7r5SWpwdZpsfHXo8186YSEjbePBlQIOETxVUdHSC+c0sKJDWzCMYUGgfjaX0KDDpcSnxCAfG1SdYLcLPLlJJeqY2zaGQPqYRyfGi0YvF44d0Nmq98NC0Y5nCcjwAhYI/DrdS2GMI6bBNLz1LrEuPUEsQbNjMXg8pg4vo3wPLjEickcARUWoqS4MI4pfiNw4bw2J+P4MRMj4A0CCPWUp0BaGboHl/4xMQKhQoD7XqiQjn/lnD5xRV6WGmydFicyECYDdNkknFIgkIuXOrpwrbv9x13pZVy8NBuLA9EPvM0jXvYXbyvH7z1WCNwT15/9dfeerHOadOan+t0BEpt2RjYYu2sZH5/hIhXQJnHkD0edEKj7d2296mNO/DojwAjYRWDyqCj5qT83ptstOy5/hwumJo5YJy9Q8/V257hcr0Dyhgsm507dKo/flxJHoZniNwK47AJtuX/3ObpyXrucDRfSMT3eCFy5cN8SgL//JBFLXLsoUd1abfkyP2AEfESA+56PgPHr8kJyXPiOO2cCQbj/xR2dPaldFpXgqeCYCOKjjv7D5AN04shlCiueySXMkTss+Zn/CMTH/uJ/rTmHRxGBxfP2042rt+XdDGkyuglFZFH52LQz2gglbVELTqZaDfPSsgV7ZBxnFcsZN0j3GViJ0WEEGIEgI4BbtXG8EReLFC2VmeBp+ziSWUiKB2JX8/2Wc4SHSi7bl8c80liKG8sXzz1GE0eulxfP4RLWVOldL0p4pDF4BCuHNqzRoKC85LZOWe1y28c1VM0j2Ly2qoTYxOgPuDuihQgfVqycFvMeG2qrFsXIAIQxCQs3j+1tq2D+6LFHgPveY98FfAZgxYKTNG/GDnl3C+6c8ZcQpqntOxPorvByw0XtDSKKORwITh2+TVPHbKS1yw7JYmrUD2zYsvioo58/cZcmCEcLYIL47g2aG+7c8bdB+HtLBOJjf7GsDD94rBE4fuB3mjEu2iFbq0O2ipjXvlJs2hnZYOxra7l5H5P56FkRNKzvalq7/CA980xCevKJJ+k/4czyBCPtBjl+xAjYR0DFt1I5IFh+/1Ha5W72c320vvxNnKwuUyU31Wlqfjnlo1Vb32qjYharr6qJC5ZwiQ/To4EA2hJHv2ZOiKabN+5QmvQv0eULf1KmnByb9tFoYd9qcee25mF+9MAl6tlmpunHWXOmoiETOea1KTicaBsB7nu2oXtsP/z91l9iXdmCcIlUIOjald8pYaIE9NvN+zR74lb5ZyScyunSuxIhREogKL7q6CpmMTDABVyfD67r82XYgcDvccsjvvaXx62duL6eEUDs+YWzdjlehGxt3qEU4SJUOxSbdka+9M5Oi/E3jAAjEGcQgHLRuNpIcatqFimIs+R+Ps7wFhuMmHkYxwYf8aVM4PVlj0gqWT47RYj+kyIN7+7Fl7ZjPhkBWwg8IIqccYhWLzlAh/dfkvGKYRAIK/qa8CArSq/l5IufbeHKH3lGgPueAyO+9M5zdwnWG/Amnj1pK+3aekqeqoIhI2fe1FShWh6q1Ug4FgQwGkV81dFhMP5beGLXbliIKr+dJVhNwfkaEIiv/YUbkhEwIgCD8fKFeylnnjRUrHRWqt0oHyWKp74qbDA2ti7/ZgQYAUYgHiPABuN43HjMOiPACDACjAAjwAgwAowAI8AIMAKMACMQBxAI4B5iHKgNs8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjYBsBNhjbho4/ZAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFG4NFCgA3Gj1Z7cm0YAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBGwjQAbjG1Dxx8yAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPwaCHABuNHqz25NowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACNhG4In/BOm/vn37NiVJksR2hvwhI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjED8RIA9jONnuzHXjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIBBwBNhgHHFLOkBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYgfiJABuM42e7MdeMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgEHAE2GAccUs6QEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBiB+IkAG4zjZ7sx14wAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACAQcATYYBxxSzpARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGIH4iQAbjONnuzHXjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIBBwBNhgHHFLOkBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYgfiJABuM42e7MdeMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgEHAE2GAccUs6QEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBiB+IkAG4zjZ7sx14wAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACAQcATYYBxxSzpARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGIH4iQAbjONnuzHXjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIBBwBNhgHHFLOkBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYgfiJABuM42e7MdeMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgEHAE2GAccUs6QEWAEGAFGgBFgBBgBRoARYARCicDZY39S6RyDqeob39GNyw9CWTSXxQj4hEDfHqspPPMAGtN/i0/f8cuMACPACDACjEAoEWCDcSjR5rIYAUaAEWAEGAFGgBFgBBgBRiDgCCye9xPd/+dfatWlDL2ckpc4AQeYMwwIAtcvPaBNa49QpqyviL5aLCB5ciaMACPACDACjEAwEAi4NvXPX0QNyk6Qu6bboi4Fg+dHMs+BfdZLzGZ+v/eRrF98rpRqG/yfiRHQI9Cp4dx4MW5/OfeP5BN/+DdT3EKAZUzcag/mJvQIXDj9t/QKrRU+hm5eDX35j3KJ0MUh+6GbQ0d/VAlGuKXz91BYsUxUq3HOeFVN6P5oI+gUcZV6tIyU3tsr5p2Iqyy65SsuzbOzJm2h27//Te27V6CnnnHLNj9kBNwiwPq9W3hcHrKdygWSeJfgzVz0uOg9oWq8gBuMQ8V4oMvp1XqRVNYipx8OdNacHyPwWCAwffRPcgy1bzDbY30Xzz7mMGB6Y4hXiv6Qzzd4zNvdC1CsYJTAX6gMp8O/3CTriv8zeUZAKb+PunHDMxK+vcFzmG94PcpvQ4+BzEGfiC+0ZcNx+u3mHbp2+Q86dji4zga7Nl2Rhq+mb06m+3f9R0i/AA3VvOI/149eDovn7aG7f92nTh9UevQqF8s1unbxPu3cckZ6bx/cdyGWuYnfxf/xK1HUysNUqWZeKlL21fhdGeaeEWAEGIEQIhDIuSg2bAIhhCqgRbHBWMAJZf/cqWsS2A2rjpgCjAXGD5MOmD7jxPiLwLolZ2ll5Mn4W4E4xHmBQhkkNxfP36Q/b7lnbEvUcccLh/aKxcd/7t8/cfgX+UKeAmndv+jh6bkz16RRAn+b1h318HZgHp84cllmtD36JD1g597AgMq5OCHgzRzGkD0+CJw6dsUhc6Bcxweq1SAPZc2ZigqHvyb+UgeV5eNHfpGGr9PHr9HeXezOHFSwQ5T5nd+JlgiDcYOIIvRaziQBL/XOb0STR+yiG794UFYCXnLcyPCVV5+it5sUoldSPk9VauaPG0zFUy4WzNwtNjb+kd7FTIwAI8AIMALeIxDIuSg2bALe1zRuvckGY9EeTz9LVKV2fkryQiJq3DrcpYVwVKxr86l0/vR1l2ecEH8RgNfqJ13n0o1rt+NvJeIQ51lzJqM06V6iG1dv05GD1otwGJMP778gxxsWHzCoHtpz07Im2AE8dviyfL9gkUyW73nzoFDR1NIgAcMEDBShoOr1Xpe8v92kMD35dChK5DIeNwQ8zWGPGx6Pe31LV8pFLyZ7TjPwCENPfCD04YmLGtOgybXpiSCzXLpiTkqVNimVrJCDwsKTxwd4mEcPCDz3AtH8je9S216BjweLDbkWtSbQ+GHr6d69+LEB4wEuW4879g6nyOi2lKtgMlvf80caAs06FqSlOztwjG3uEIwAI8AI2EAgUHNRbNgEbFQ3TnwSZLU8TtTRKyYwgeOPiRFgBOwhgAV/zvyv0oXzvwqvrXOWC/EDey9Jo/I7LYtR4iSJ5CJs66aTYhHyhmnBh/b9LL3BsoWlo2R+ru2fTETSIBFKqlDzNapQs3Moi+SyHkMEeA57DBvdosowgsIgwWSOQOoMCWnu+tbmDzmVEWAEGAFGgBFgBBgBRuCRRiA2bALxFVD2MI6vLcd8MwJxEIEChTJKrk4d1cIwmLH407YzMjn/G+mpRLns8t8Hdp8ze1Wm7d2pPctTML3lO/yAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGIDAIhNzDGDdht6k/XsYQ7fZxFaoTkdupJqcO36bZE7fQlg0n5DuJnn2K8gtDUb2IYlS4dErTWiNkxKhvVxNiqA6bUpeWzD1CsyZtpZ/P3JDHMgsIw1Sz9qUoS+7nXb7HjcQ/7TjrSB84vhEVKa3Foq4tVQAAIABJREFUz8MNi91bzXA8WzhrF+FPUc13wqj7l2Wc83xAFDnjEC2P3CuO3WsXt6TN+DKVLJ+dWnQsRokSu7DgkvD7DRjJzlPJyulcnnmbgCN0TapOkN6eqFPGzMkFRqsoev0x+ltcCpI5e3KqXLMANWiV12OWP844Km6e3i3r89TTCShn3tRUvW5Bqvx2Fo/fIkbwUhFXbq8wCKJcYFG5Rj6q26QgPfei9rkRZ0+ZDp3czMl7FfGlF8zcKWLEnpBleGpz1V9UOeg7+FPUvmcFaviu9zHacFvn1g0nqWipzDRgQi0X9nHBxeTR0bRu+UF5oY87/kb0jaY5ou8WL5ON+o+r7pIXEs4e+5M2rj1GTdu/bvocN8y/U3m4fPbRN7Wo7weR8iKYWSs6Uar01jEREKID/bt+86LU6SPX0CymhRkSVRzjM8evytjg8Do2EgzACNGQM28aSvYKUZYcKenYoUsEvs08iFX84qIlMhuz8vo3wlrULTfU8T5CZ0xb2tKUP68z9fCiwlO95qlfeTNWjHm6YyH9a/+jaUuau4TB+Ouve7R9ww2aMiqK9u/+WcrYwuFZqHkHcxlpLGPupINivO2Q8hXyIJ/w/K5RP4zKVstgfDUov7dHXaZe7WZKr3OzOcSbQq9fekCNq42Ut5R/N6M55Sv8P9PPhn2xkVp3LUk47mxGo7/ZTDPGb6F6TQvLMNxzp24n03lB9zH64juVR9AzAvfpSzrS/1I779veEpGPZo3fTEvm75VzIGQm8LWS1e7mMCPP50/coTGD1zlkJULCFCmZhSLE/Jgijas6oGSzfryg/WdOiJayDGO338gG1O/DhU7zqLFc/e+wYplo6NQ67l7x+pk3Y8aYGXSQKaM2OHQMTxgYv/fmN8bpfjHnTV0cQZSAaN+26zTxuyjat+u8/LxQ8UzUsVdFSpflOdPsEC917rTdtOLHfXKcgTzN2fo5X5/p3LVdHXJ/0cwj9O0nSyhT1lccvBkZQCzYcUM3UpdPShofab9FR29efZoMJfTZ4Do0dcxGGQtYrzuZfTh7/H4a+c1KObe16lKGmtccY/aaaVrnjypTveauIYSMssiTbmIcKyjME9+mDPmYqNd764g4sN0+LeVjDtrrgZD/ngr2VUbo87ty4T79MGUb4Y4C9Fs1t9Ru+AaFlUhhWbR+fECue9KZ/R1floyYPDD2Gb0egdf140t9bmcdY1K0UxIu/J0/bYccu+PmRVAic9HhKRuvnxvr7e5DK5nua7u6K8PdM8iWH+fscqz5ipXKQrUbF6Ic+ZO6+8zlWSB1eWSu9M6eX1Sj6g1zEIn14egBW2jV4v1y/sTc07BlONVt7rwOdmFMJHgz1/kqH74e1ZA+7jTLZ/mtX5ts33CZZo6Pdsxt0Aer1SkgTtW95qhGIPqSGSbGtFCUg/Uj5jylux3b/zsN67vMSZdu+15Zx9wOmTj5uw20cc1Rqc/lLZiW2nQrT/mKmOucduZ+Iw7G30pnRnr/0Q2dbCnQG8YPd+6TZavkphr1wkQdnpFZKb2hYNGMNGza28bsHb/1OojSq+MjXqoexctlc6yF9boG1vDV6uSndj2LE+nU97iMk2WjGR4YZRawGPrVOlqxaJ+0r0DHqtu0iNP41stfb2Va1LJzFDlrp5QbmPPd6bfBGNdubQL/EjV9a7KUiw7ZbQLg1FF7qKToIxmymRv2Fs8+Rv0/XkTFymSR4TRHfL2S4uIYMqmaaZLrCtH0tcAk/n2HqHfHWVJoQmk2GovfbxFJ2zc6X0CGDro9+pT8szLIKe5On7hKDStpRlKVhrKiVh2RfxWr56FPBlcOTGVMcsHE2autZsjQP4biPGPcZpozeZuLsDZmM21sNE0YsZ7avFfe+Mj27zEDV9PZUzfkoFR08uhVuXibNnaTWPDXNzWYnDj4B/VsO0MqNoqQB4xM+Js86iUaNrWZqaFh/44b9Ol7c52+RR7AYtzQdfKvo7jJ2soIYlVZLDZVzEHcbh5RY7Kom3ZhofpG3+b+LM6seNCnQ4mHsRhK/FcjXI3FEKRjBq1xwt5dnyxbOZc0GO/bfZZg1DIak1D24nk/0c7NJ6lpG2EwFsYII21ac0QawkqITYoSFdNSgQUZaZNQVqCkWoVdwaSwa/NpmRU2N+xSmoyJpBEJxoTzZ267XD6j4hFDqVTG4Vz508j3d287TeWrO8coxoVNiF8MgxViJD+KFKyxYhUzuX3DCbJ/KIKM3bj6iPxzJyPN+IQ82L31jPwb8c3zNGxShEPJDEZbYXOot1jg+GMsBl8YV/CGx7iAIp+vsOsGCcbf8oV7xWbbK9piz1ghIU63bjwhU8tV1YxZMBhvFZudd34vY2lk3iBwBv/5wjO7jO+VwkC4RIxvvayGzPQkq42smf3+5oM1Mm89QbYv/mGP/KvXrAh17lPC7FOZdvniXRr+9XIp7xRlzp7S7SaUMTNsMJjdE2B8z9Nvs76IbzzNL8roos9fj0GLTqWpRRfz0DieeDI+h7K5ZskZoe/8SUO+Wu70eEvUCdoh5O17faq49C0sTIb1dX4fH+vn7LFzWlGaTCK+jo9UonwOGiX0AfC2b9d103l/zZIjst83ahXu0j9R3L4d16W8hpwvUyUTYUMP+a1desix2W7G1tYN2kWnxYXyjFBE3hLm1trvOBuLzdpfr5uMHRp8WeQt/zAWd2o6yaH32jUWe1uees9K/rvLxx8ZYfatfm6BEXjyjy2cDJ0PxDTUo80Cqd/rSa8zd+ldiWo1yeXCtt3x5ZJRgBP8XceYsTN/8kFpLIahot/Id4JuLDbjwSrNTKb7065W5ZilY03Z+m1tYa+eQ79evnCf/Ov1VXV6q0E2s09d0gKty+sLgLElb8F09Em3uVJWKsLcA1kPB6Px8xu7bO7jPTNZh3RPc51LBQ0JkA/pXktERcWGsa/yW2VlNp8qfXDdiuz09Zi3PLHh9NysL/mUgZcv+1sO9OfI2bvo+ReekbqZIr28w/r26aeepBH9Vznpc1g7d2g8SYbk6/ChMDjqKBhzP+afL3rMd+jMesc7/UamYgN9EmtQ/EHPQLxypTfAuAeHJSsD2e7tl6STGubsfGExBvH4hJe+PaJWHqaqYvNj9IBVTnovZAwcRVYtOUCjZrR06MBxFScvh4XTa5BZyVO/SF/2iJS6iyI4Dn7efYGwJ2QWfTicvuw538nO40mmwSHmvRbT6fjDi+xVvt7YpDzVw99x7chf2FWUXNy8/oSLji7fE+u/NUv2S2ysHOyihWMfqES5HBReNhtNeug0EpfGkCdM9c9DajD+uFOknJhg+DVTmmEsO3/mOkW0K0Xlq2XVlCLRKHOnHhReUavlgB3Tf4vlpRZouGQvJXbyGMNkC+MkvIhXLTpASZMldloUj5hZlx78Q9Sx8WxpBNUTPI2jT/agicN20sQRUfSmuBiv97fWt9oWDk9JWXOkoLSZ/kcNWxR3GMvQObCzAKUYgnvq4naWlx3cu/eP2NF4iyrVsu9NaewAMBY3aFFUGBiLSiMGPDmXR/5EE0ZGyc7eu+McGj/vXaeFPwx7uOgPzzO89gr1EDvkygsPO0PD+i2XE0OPd6fTxAUR9JS2ESmLhlGn+7sz5ASFb+FZWazcq/IZjDCzJ2+hPdvOUq2GmnezwtnIt/q9YsFJ+qpnpFSWuwqvdEUoM7xsVnrmuaeFh1xJ8e+00oAKD6mpY7cKT/WtUsnOmiMVVa2X1fEdvIfx16/nalq2YC/ZNRJ4UuIjpx92KBOVaualdu9VkAtwPX/GPpnr9WQOg+uWqGOugkqMBxiLMY6iVp2n0lVcvdAh4EDFSmt1riQ8umEY2yK8y60MxmqihxEgXyHznW+r9nFKf4LIYQDefkaMAeeF/q6tp2W/0IeXQGgKeDbD89hoMN63W9t9RGxkM29lr3gSL8GzGmMZmyC+eLZ5m7/Zezh9gD/Vz8ze8XWsqDzN8kLaZ12Xi0nsoPTiq9U4p+lrzz6XkDp/WIXerKudEDDKSHij9xtdzenbPVuuioX9DLnDjEsDO31YyaE0bll7UXroY+OmnTBGu5Nvpgx5mQhPjk/fmyd5sOtZrC8K4wPjAuOJ/hUGY8PmC8YfFF0oTtI7yEAwuGEcYsxg3JLo+3nD0tL+XT8LDzvXzQ/1uTKchYudaSP9decfKvdmLmr3fnlKmT6hi6zuEjGVRk5rTrnDYjZP3M1hKv/PuqygNUsPSI+/tkIO1W0qPJpEfSGPZ07YLE9owDMwYcIEpvPrrVt/Uk/h1f3fv//R2B9ai/omJSw2nhB1BoEHK4K8695am189eRpa5aFP93XMqG+Hf7lJzgdQKvXzITAYLfSLlQv3y3k+2cuJLceON/zp3+nf50dKIBaN7XuUF2UWkAaBI3tvUd9eC+V4mTJmk9B1cjhtLpStklN6cJd7MzfVaVTYMS/v236dBgjvYHyHy1onRjZ26rOQj7PXtZTFW8k5bNJ52ijB/IF+v3TBT6bzBTZYQPCSTiDqU6VWfpozZbswgJ+kP29VoMQmTn3QJ7DYxMkSLKrAB+SxFaGu3VtPp3/+eSBllV6/OLTnFnVrOdWWLFL99MYv/1HbhuPpl5/FDaxBJOhacJLAIioQm9eBkP9W1fVHRvRqvYg2C/0CYwtjvGHL4o7NBswPE4WuWUXoIU5escJTvV3DmXRo30XpadmldxUq/aYWdur8ibvCcWIdrV12iAZ9vowSJnraSYdTdbAzvqzqb5WOPqPvL5MWtjU9rai+93cdY+QD3oEwOgHbTwbUsbVRZMzTm9+2ZXoA2tUb/vDO90Oi5RyMtUH3z6pSmaoZ5KdRy8/T2MFrKKyod5ckB0OX19fh8L5L1LruOMqe+1WasKA2Zcv7glx3fj9UW6fAeDJt7G4XeevrXGdHPtiR36gbZDTmU1CjVsXEKd7ich7Denf0wLXCYBgTQs52X9KD6MW/Q1UOWMEpJehT74t+p3RttTaGvFeGZKz9uopNr+df0rAZ+NkSeYIYzgVVhU1Bb3y1O/dbQePJSQ92Cazx4ZDz4dc1tDW+WGPOF6eklwrnAuWkg/kaRi9sbKxZfphaZTPfVFcGMhjbjPp0fMDLiOOVS78RHGz+98oLNGh8E4dntlzb918p53XMbR8N0OxCcRUnY728+Y11DE7YG/uvsmXBHoc/2Hj6zWsgT3NA158ySjt1aSbT4OTXuam2wWec8/X6rdEmFYxx7ckmULJCTrkpYOW8p9Z/f96+Ry07hbs4CGFdgW+h88JY/Cj0jZDFMMZizZ0nJjowjHq4iAT/dyiWYlGL4zofi6P1oKiVR+RRdzPCUY/pKyOcvGbyFnpZLmZbdy0rP8HCGBOanrCIS5DAxFXz4UvPPKsd40+YyIN9XWTx/YJG1GdgJSfPSkwIuGgLhjQI59XCoKOnjSvOS48eUPP2pQNqLEaeXw6rS217aMZi/EbHbdimAP2wuoucKMAThJ6eRohdU6Rjp3BCpDOmUOpHTG0ulTQoazPG7475VEw2owaslkZBbAygPZSxGC/BYIrbLXEbujdH6jDh4bgTCMdYjSEVcCP2+MhGFF5BMxbjPSgtqG+zdtqRWnjWmpFqT9W+Zu9YpUGRc6fE37j8QF7mBsJCEX1CeQsr/jqJI8kgpz4pDDDFH8b13Wrwtse7MBIrD4XlwthtJCWkXk6ehMpW1gxSxUunk+2MhRmEshmpiV6W/dAIZPaeN2kwAIOOHrjo8vpPO87ItDIVYwxwOKoBoXpo7wWS5/p1dOAnbRNHxUZ2ydDHhCTP63Y2fPzW7uuWciPAYwULS8hH48aKkW+MXWUsxjMlI9t21041wNN4/dKzMZ8JPkd+s0oaaNCXIcv0Si7GN8Y5jqVCZkwSx+8CTTBOvtdymsw/EMZi8IfxgXGC8XRo700XlmEoBkFxMhs3ynCmHzMly2tG+tWLnWW8ylwZzvTjU1/wW/Vep8+HvymNxSAlq+et7SZlMeTqiG9W6D+R/3Y3hy394bg0FqNfTPmxvXb89eF0B5kEr+KvhmsG34XiWC9kiJFgQHz66SdpypKW0lgMgofrq+JEgSdavuCg3IwF/+17lPD0uvvnNsfMwV03pZwFQe7q50NgAPmMvg2a/n20VHwDQanSJBWhgDrL+RZtBIJiPXRSUynzsCD5aYeQezp6OeWTFBndVs6T+vkOG7ajZ0VQCuH1AWV82yYt5JUZn+7kHDYkQHsQS94gb6EbbY/WPMjXLjsgvSicSPyWGyyCKlbPJ/8PWYATI7jIdO2yI87vP/ylvOqxSYM+7Ymmf7+JsHnissEgyh8kFtzeyqKZE7aYFvVC0icowRPBVX+hu3SJ0BZHgTAWm1ZEl+it/DfLxx8ZgW+Vsfib7+pLeaI/GYX5ATqa8UThmG+3SJ0EcmH2qrYOYzH4w1FoyMEOPTUdaY5wMnDpi+I9O+PLrP6e0vT9xd3YQj7+rmP0vGC+UN6BkFtWYfk88R/o5+5keiDa1Vt+jx/6Rb5aq1Ehh7EYv+FIMWt1C5f1glm+QdPldYVh3kZYRKxFYSwGYT7APFRHhM4AIaSeE9mc65wzifllJR/syu9D+7R5K1e+V6ndB5qxGKUhP4Ss8Pb0qLu+ZFUXO+mBLgf61IT5bZw2l7E2/kaE+VCk1n4wFitsBo2vL9dj6BMwvuopEHO/Pr9PuiyydNKDHeXcw9O5rbqWibGbCN2wTtNcco2ud9IpV1XTGzauOmQqi/WnVJVuoOclPuDl1BgPf5QT4TmwvtHLXmwQdPlQO62+d9dZwlyvKC7iZFYvb9IQCgy6sVP/Feu/7Hm0sK3KPqRC/8C2AVlQo35BmT2c1PQ0ftgWxwYf1qFqgxjvQL+FrQl5mtmkrPj1d1xbzefwrIdsw9pHnSTV86BOa0KHx6k8IymHI73OG9/7RnA15ocIYqLCYg075D2/qOGVodAIfrEyGShVWuHVJLxar18VW7Mm5M7o26xdQceC2yikTbIKSpK64OvCuRuO/KEQYjcFCyDQkwn8tNaZcP608BozI0xODcXOMEjzDtLeAk+IQQdqLxR2M8MujAU4wgzCsQ218Fw895hczGIx3OvLGlqGfvx3eN91UsC485i0yr5CNc279crF3yw3Gay+dZeOyQFHszHhN4goYqrEY1NA7dx27FnKNDssoOCRiHywc6tIGVNhXIWHkp70RmIs7I2bH2uWHZQCrlDxzA5PL0z6iMUEUkYufZ76iV5vyHUu2ftfygB85oQ4eqczSKCcw3svSo/M13IkcWQIA0K2XKnlMedTR247FXR0/0UpN7z1FPGey9h/M5Bj5W+xBzbki6WyL5ltrOhrmyCBudhv3LYAFS6pnWxYKI7bKcImBcY0JvJuH5v3ZbyLGMgghDax2tTT8+Htvz3Fvfc2H+N78IQsWCSjTN642llxh4EYhmJFxlAOqN9mcdwIfbO88AhVVF54hUL2qV1pY5nKcIZyzTwxrdoGYwSyGISNFcQW9paWLtgjX23Trayldxo23CBjITsgQ8yoeYfSpnOB2bsq7ezxOzRu+DqJk9FT1N13Vs/sjpkVP+6VYwP922i4UmW16SbiOAtjLBTAtcucFV0rfjyl5xX3L5gZSGFQg7cZ6Nxp8008s7yhuBcSHv6g0yJOvB0qWjKT3CiBvD20x3mjBOGOgJOWv3aKRV8GjNSYjzFvvZYzRoaXq6ItJtXpFiNfyqtenXoxPtf/Rhgn5Vxg3GDwVRZhjAZSFrnjW/9Mf1Q+FMZiX+S/WR1sywgxv8+btl1mCcNXkbJanzYrQ5+GDZnVSzU58/6n1Szlyjst88l5B33ObIMk0OPLE9/+PvdmHaMvY/AXS6QeWbJCDku55S9Pvn7vTqYHql295SmJCAkAuvAwzru336n3gq3L6/mB4cmMipbKKpN/vfqnk6yyO9eZleFJPtiR38+/IBYWgi7/8hvhmLkdcteX7ORn9U0wysmUJTllyPqcS5GZsrwgDcKgoiKWtpFwj1Fh4UwFunXDeb1jfFf/29e5H17z2MiDofaDvq5r8afF0Hk2cUJZhFyreaAiJVI7ZDG8K42kTqnCyKbXDdR7cR0vY33U7xIVhBOVCaFtodfilNKv12JsUvENJ5OqOZJKlDWve/bcmsEY86+ZfajMQ1n3282/HDINehgcmkDNxIlws5BqyKtFJ825c9PaIy72DyOvwRjX+jLeKKGNX2UPU8/gVAP+FCnnIv23a5eLjRVB8FRWFN/7hrnlQF9rP/+tj5/TVhyz1R+ltcoaQd+n/J+9M4G7qXjj+FORFhWVNSHZd9my73v8oyxJsiRUlDZt2ndLhUTWrEkiIWXPmux7yRoSpU2LUP/5zXnnOvfcc+5+r/fl93w+74d7zpyZOd8zZ87MM888z+A1clu9UVI1f1+pU+IN6dXxffn9V9XilOzdHbpzC8hb6UzLVLSUA5vX7gs4He8D2tdm95m67riH9o3HyBzlU0vXf+fpzhbWrQOVH2BYlp0JMZ0erIO2bbYmoMZtABT0ZSpYHYNb3YwSb/e3R+TIQUvhbSxIMTG0W5m4XR/q2MoFB1QgizUhLSaRD5TcCBjXvOpQzbtJ+bfl1Sen6yKCLTKEqkPAeTWXNq5VYFEJC2c32bB6rz5c5sa8QV0plCh9rU4HP71G8LHFhBzKm6ULTisujPUXzsFiHhN7TPDt4vMTqbZA2KWx2jYMgXLfaT1nPvROJYBfBhH8gIIkz3VXC9rF9/tOf0i/2fqzfhawtHdaMRsXFV8tt/woozgoy/cqFzWFikbmJzWCqp7RpPF8Vwa+vECzjWZhxQ6h0c2W1aAJQohzRpnqts3Mfm3+QldrRVQ837elC/aqbVHj9aS5XZcqcZ80m485/MnaFzeMghjvGd4LDA7slrfmnSlaKqeftTX6PPR9Zku/s4GZ99M+iHCm8foN1z0YjEPWwTo0DEHwJSi+jSuAYJcUKJZDn7YvaJr0uL50+bzBLnc996by3QsWAZairqlDH4zqnVFKLb17QUmZIPcA64iCRS0G3359uj8OXavoUuTKY00qD34XaN1uckSgo/vv+FBqFhmgv2udmo1Xz36PPh3sumA1wkIFFhQh9oUSfBfwfYDS/KFnGuvJkHMXi9mJgiCZdqnTuIh+990WMY1VPfKtXDNfsKoJJgBjhizyXGA4k31R0IrbTqLvfKjzZK3krNmgqKv7tXDzCjddLP1/LH0EFnix8AAxY4xw6gyXPViYCekCS43b4ScdEukCSTjvVzh1jTZNrPMY41MXyqdn+t0UbTXifl2wPj0Zz9V+Q9jqC8EOmqF9V0R2r0kYy4dToWuutdxLOcdNUX3rPAoM1T9E039XrllAz80wd3yqx+SolMbB2pLHrUR1OFnlhFu5bDmuCJk0lm+/cWODQvq8drO7C0xlmwb3cpAJKsjy9An+RhMBFVR9cfX61sKw04ACac3YoLIyPIi3JJpXNPXNdGU6yZ7yHP10UqmcUzT3Guk1pk+zX2fm/zhWOWWRzC3fUsrXO+YbmDfsDGEUkej3GsZAGAc7jffgrg31g9FkXRW/xrkL1T7mrVDF5jY0jbeNdG4PLF7H1n25R/m2/FxP9iHfKeVPKMFHf7wK/GYXWN86/QuHysftvOl0/vrjuNvpuBzDhOexbpO00sQuxo2AsxAo1zJnzSoLPk247t5ZtP5tOj3U95ejWO3MKj8csvbjZs+RyXX1yGR05dWWhREUl3t3H5Us12SVQwd/0afzFchmkkX17+8KX99nZ+lrQ1lMPtNztvZ1Zxe0OfiJiqcc/fEPefah00GfDu3/RbByjxVjpxw9YgUKvDbvVc5Tfr+vUD63IUd++E37NDPbljEht3yhfuML2mGsvxqqrcBNWxVR97xJT/CN/xwolOEnEhNzv05K5W+U0Mhz1TJ/38deSoCgFQ9xEm4psN10y4bv1LZAS0mwYom1ldm4rLBnUalafhkzeJGq/17fVjYEwUOn7JY+RPFp4nS83hW4jwh3YSUUGGP1CO5//wVlf3pfQAP4c8JfsgR9Up/7P/AVB4u027tU9m2Pikc98J7gfTHWltiGZFaPYdnWvltZ5Rf/Enld+Y61+3RFgC+IU3GGY1AGwzc5tpjafYZ7DiIiuJF8hbLp9+qPP/4J66ojh62+HM+zaeW+YV3jlihTpksl42VuZ7yPjR64WlarBaC4uKJIKSaad+YPtQB9NMWSJ7+KMRBMrspifdPsi7rB0ifqHCZ82Ipuxk6mHGegkGjLr6IULdjVgoWS7v9V0Qt42FYHJV7rjpV0kLGVXyDYsLWLBduMoVBGQEcMoGs4rG6MEhp5Lp67XS2iWFsSUT9jVX+DWrCHUj6YvPLEx76BeLlqgc8KPgMhye6LgtXZee6pnqf7LCz47txaw9XiynldtL9j7f9j6SPM+wjjglx5rXcnnPs4nDLGRL9btUD0/VI4ZZ2JNLHMY/766x9t/GD8w8J//PcHVCwRF2vGZN9bqD492c8V7j92f1tJxyvBvHHK2JXS/LbyypVJVTkvyOw2mWP5aJ9RNN86t7LC6R+i6b+xQ/W5AbdK73sm6rnWTTf2teJbPNEwrLYaqi253Us0x5JVTjR1c7sm1m8/XDB+oOJRmJ1Ce3b95LnzAwZP+/Yc1QGv+z0zS8V7WqhdObbq5B97xtQTCrTxw5bIWhWfBuMB8z03u1TdxgZu9xjPY7HyimddUjOnRNxnJHl+f8AyjMACaLYc3q7sMM/AfANzll07fpByVZWSzEWS8V5j3AujIOhNMJbTAVTVQiN0L1BqI1bDge+O6gVLLKKUqlhP1xTvIN4/tzFvanyHXPC6HkqolnLC8GXaygLbQLESOUv5XIXlrZdgRd0oi+Fn770Z3XVgFPzBChcWLPEQu5l8PPIzecCa+t7bR2tlMRx6I0Lv/I1W/fGv8esSzzLjmZcZ7EWyTcaUf/LkSb31ANuqILG0DhEqAAAgAElEQVS61njlyZl68hrKYvKRztO0shgfKqz2TJn/gK/NPP9my3ji0R9VBBSDVQz+8JyHDVgSUAY4oI1FIqdUcJ9TlpG2vqx+05L6nrZu3K8CCVmB/Iz1F4IkYTBcp3EJzcj4z8FEHZ0UrMbdJuZQNEM++9iydMf/7R96lBkvKZOy1d/4IEa+m9bs1Z0sXFY4BcEV8CEx94vzO1KiqJq8nNek5d/xelfgK7tfmAsr4fByukRAPY+kTO7DuR5p8Iyj8QvulT/ea1jzo60P7b/AK1lUx/GemG2DZkHDrB7j/cJ7hvcNSmXj0xUDZQyY8X66vTM16+fWSlIMMrasOW09ahRnXu9nODfgfD6hronUKg/5IUhbrAKfwe+984WnpWg0+Uf7zvz26wltBRWJnDoZ6Mc5kutjSYsJUG8VYBDKYgQUefWdNrL0a2scMf2Lh5SVbuA210jLM37t7W6AsK0ObbrprWV0do1UQB77LhYsNOIdhL9iuw9zU/ZNKdfZXVThnLGqN/7bvOqKgMawBPdaYIimL8L9pEsXfzdfXvdgjiNQDP7AD/EgEiXx6P9j6SOMOxX4gz4/AszRWMfjWaYFiXUes33TQZk8eoUeD5mdZu/0nXfGbz2cPv1MPFf4eu8/8g7tshDGRVAe1yoxQO9S9ZJkjuW96hDseLTfOmeekfQP0fTfWNSburCXnqdBENi9XeO35aEOH8m/QeyywmlLznuJ5neyyommbm7XxOPbP/zNBfLHseP6maDPHKcUvDBW8BIEuIauAjoajDkGvjxH74yeO31nwCX47lesmj/AbZfZcec1NgjIKE4H4sErTlXxyya1cUrEPUaap9EvRXKdWfRwXpPM99rEpTE7PkwcKQSBxI5S+F527kI1/ujdxrxpuW0EWYN1PqLofhv/bfBLh6ihCIg2qnK7gAiaJuIqOrjHXmomDVtYWyZNqSXKZJWLL7L87URXk9NXXZH54qBuAqLN30QcLV0+twwc01rOty2iwDfLNSlbUKPNP9HXZc1umf9kz6n2rEYol11mMQXb/TEa9iKICgZ0oYJ3zZi4Tfs6RLqXB7f2C3aI6hcpEZ4/vUhuFZPZoZPvkO/3/ynd2ozQvrlrK389dlcr8Bl8ZdZLA6zMg5UDX1LwKWUEwY7w8V2zYre6R7Wa+8ff+iONLfJGGdykRRmZNGqZYKIPH3emkzK+m53lVa5ZSCnz5urtFbCiRGdnPvRlK10XVoAQZ55ev0uUzpniJ/N7neTIgZPa+hn35ObTE8yKlr5GW2bu2fmzwNJz0/rvdB7I62wT3G883hVEkMcgL9TCSrT87PW859F60vZuy7VJtPlFeh2CLrTqWEJvVcf7Bkvqasofd7i+MsMpr6rKb/qk1fLVkh3SWLnkgGIYCuKW7S0rSbxv2FqOSTwGCxCzmOUMwqlPKr1GebXlH4ulC+ZsUW25qj5sFGcoL1li+nQoH8bN6pyQ717AvagV+AEp/rS1st/FUjTgmjAORPvOXJklvVYmwNdcuGJ8Y4abPm7pFLu3X5+jFY31m5WQpwc09MsafXbWMLazhqoPWJarkk9/oxZ+rnzFHc2jFzgaKddFRhlsFj6gAIav/mUp7pGMv0tnGaXKXa2VvVBCb1j1o/4eG6t6tL+yFb37cUwA3h+zMugCw5nui5z36/W7hQrA9eBzNfTuoy1r92sre4x/ww0C5ZWv2/F49P+x9BHmWre6BTuW6SrL+KNMhbw6ENjZIvGax2BM229EO8mSLYPc2XSk9kWKcTEsas+IhNmnn6nnWrFGdh0wfdv6X+Sl3tPVGPKIspZcINhN6uU2Lllj+WieV7TfOmdZkfQP0fbfma4WHeQOLlj6v/CZfDZ9o1Yc39VyvIyaFjjXh4VeIsYHzntPWjkBBUd5II7ffgTIRKyGvk8u0GNmLFpCMewlsJzE3xdz9skbL87Wuwqfe/gj+eef/wX0OVVqFdD9EXamaotLJWaXqvHH7VVOXI/HkVdc65WSWarhlIibiyLPPPlURxGhGD/pfpclq/9IKbSG0q0M7T9P1ig3gPt2/K3dtEFPeXtK/C8kgzGe2YVapVZB2brhoB4Lw2exm6TVthG7KZEbjZRjGDj3esYKhITBMnyXYkvl6LdXB1yFiTWkZv2iAcrigMRRHvhujxVs7sosEe6tDaM8KMRMdPEejzfyUxaHcfkZS/LD98d9is0c11i+tDBYhWAbL9wkeMmBFN+LeHmyKotqiGFrWHtd63UcE0wsKkBCuaJYMMfyuXRzm3IBymKv/GM5rgeY73fQbjqwPbB1h8opFkRzArK9Qm2pgPygAkIEE3NeM3dY6JiJ+YQRS2Xc8KXachNKYiNQHjS55QY90YeVKf5FHTHwcxOkx6oYtnqYwFbmQ++lBHDLJ5xj2OJ2Xf6s2u8gfBFvWLNPszK+it3yKFPB8jG+RVlV4xpcW7RkLtfgYG7Xp7Vjsb4r08ZvDWthJRIu2AIEgYINijaIqeevR63dA5HkF0taKJmat7G2xpn3DfkN6TfXLypxLGXgWhOIAK4eXn/6E5/vUbuV/m0dK+v3b8zbC2XicGtXAT76XgIrTfSLJuiWUZwFG0R45WU/bp5PuIt6pk/HtuZj1m7+cIqJKc3Al5f4giQ6g5bFlLG6OJp3JoNSjmbMaK3G7QsRHGn/XsuVVNYcIXwnxHojHtevXnFYtz8slPVUW3sTKWZh8VPlj21of+uba6zMdLlq4ePWdhX14sirT87QgXHxDmDh0VVUeljlQ+bO3KT/NVb1CLoKJYibnPxb1Hv3sf4+hPJ1fab6Ird6ex27rZMV1wCuqro+VEcng5UXdqDFU+LV/8fSR5hrsfCAsWS4ki3FOOHY7+rh2wLjhnt9ak0Xj3kMxoJvT+iogwLZ29Ao5bILrtrOhITbp5/p51qkdCYZ/1kH327O6ZNXuwZOSvZYPppnFs23zl5OxP1DlP23KfMS5Za3T78G8uKg1nrsg7k+Avc5Jdy25Lwu0t/JKifSenmlj9e3H0YWJrBvt4dqa+MHGGDBNUkoqd4wt0xb0k3v6IPogKaO/tnsuIO+A+Nas0sVYwMEfU6WxItXouqbWjgl6v4izTdTZksnooNkHrVtp3ZkhHNIA8mRy9JJ2ZMk+72GURCs6rFLsb8yhEG7x2/7LrtmrYto3QuUyW+qBReMZWE0hDG0m6TVtpFQhXFlx4S6x2MN9YcEnZBzi4TZAlqwmBXgwg1yLMcw0FqlVj0hpcrliSorM5l0u/jkyf90I4GSI1+B6CebyVbKmIkd6g23AJASZXLp5wQ/jpvW/uh2u/qYsZhDULIs11jG6oYtWEczuIUT83AtJk2bKVH2Ws86hnMilFLX5IGIoHYlUsd7y+kgSdhGi8GZXUwU0XVq6zpWul1FHdfnlRS/weYYPSWxZRGcQVtswTrObIGw52UUU3obsJJgnRTOw3cl5It5W9Vq2Z+yWvmwDKoE0KmjE9wTlNOblaWwcU0BX8VegiCKaHe7dxzWCmZcG+276lVGajoey7uC/nPEWwv17YRaWInkntd+uUcnz18ou89/uannii92eLflSAqJMq1536BQG9bfUtpGmZX/ZSkWwTgIa0C0QbMt3yQ0iy3fbj+s3KYcDPnOGN9XUKQsW7jXpzgL9X4Gux/sCjDbx2GZF44YVy94l+YqP1uJFricwq4LMOypFk7T2XZNxKPsqN4ZtRBnAmetWW71t251Ad/tmw/oUyXKxPZNccs/nGNw7QTJnfdqgeVWIsVYlEEhjG3w2FYHq2C7nB7Y7tQD5lJl8wYNZgvfxnj28HUMawxfkMe6hT1vZUjfJVpJjgF3qAUG8/wXf77dF33bM+NUcKJWk7x69w/GNNiBFi+JZ/8fSx9hrsV9mbFkOPdovvUY26xcfDCcS1JNGmMo4VaheMxj8hXI6ucD1rQhvKej347jd8/tBlyORdKnp5bnepvyLQnBd88tcFKyx/IuWEMeiupbl5JrtP1DNP2380ZqNsqt/X5CnMFjI2lLznwj+Z2sciKpU6i08fr2V6t9+lt72ZUine6rqYse/fYiweJsSFHjpZbtK+pk9oD25jrMgeGbFfoO+GpdtXS/NjoLNTYIWW6ECeLFK8Jiw06eWjiFXeEEJ7yuQGa9eIF2g/Ghl+Ac0sBookhxf//FZ+q9NsZBa1bs0nWDuzY/SVlsw3tgYmdVDzLmTattI6EKY2eDwLZ9WLDowbPDr5vxm7h7xxHnZfr3zKlbfasOrglCHBz+1mJtKYPV+3o3RbYKhgkQBFaz8F/pJvCTh3RYGTmwL9ASD6tw8H/rJZcqlwSQ9WrbfrIE27z1CqKSmg2K+CyAjI8VHB//rvsAddf2P2TW1LX62jo3nXaQD7ZgDNZvvBhoeasv8JCpYzbrrS64vsfjDTxSnT5s2szXmy23B84Lpk6w7s153Pw21+/Y5n6913W+46pZ3P1gbf0Tyjv4CzMCS2AoYjERnjrO/blPGrlBn0e6hs1KBhSn/eOoCboRP+uvlIP2Z4VDtRsWC8jHfsDuX3XAC5/qDz0se1FWvMUohxeq3QPbNx7QiylmUcKtLKzkYfEBk8iFn1rMzpTixq1+bsfgqxzyzRYrUrxbGq9jsbwrA56fqfvRSjXyS/N2Rb2KcD1+6pS7f1b4A5s6fpW+5n9tTgetMvVEWx3w/GLXPJNyUL1v9zxST/ezUEoG84cfaX3sH3fn6rHJy/7+hfPOGJ/h8OVr+qJQ76fXs0EdXutjBQRDTAC4bAlHYNXZQLnZgLw35Avt2iNRclxlPfCVT/WACu0nXq4o7PWN9p0xzw7WAWjnbjJy8EKtYEA/VaOeZWHjli6Rx9KlsxZeD+7/2XWsAStVfCPjIraFEuRn2qs9b+OOxRwL5U7F7p8N1hhwQwR//6UquGu/8SzMAsO9jyqDghALDE1alNSTDny3Br16BvuiCB5Aj8ca6DENnptzYTmCbPySRtr/Z8lqGTGA264d/oPYWPoIXIuxIwRjSbhk8BTbZwffeuPfD4GxvcbVnnkl+cQF6rW8IL01RtqiFsC9JFHzGHz3ME7EuwL3LU7B/KJTs/FSNX9fefuVZc7TUf+OtE9PLc/1+N+nt0YiaG1ISfBYPmT5Lgmi/dYhq0j7B1N8pP033FC4CWKyQC674jT7SNuSW77hHEtWOeHUJZI0ifr2w40NxowYv494yz9o9X8ehp5//WkFVYbbvEsuDfRcasZTMz5YI6OHWN/hUGODSFiEkzYWXvhu4d4gm9Z49+fh1CNYmtTAKVj9knnOPpb8cPyXrrtEEaB6Ykpg9Wp1CvvtLo7mvQ427onk3o3xHq6BYQP0KE4xOh8cDzbmNdelxbYRfy2Rk6Ljd9detVy3SJiJNKwUEGHYuEI4tPcfeabnbOmvttxjIgo59pv7Mtm6VXvkhYc/0/5ZjSyff0DaNRgjH02wFCGd7q0hiO4aidRuUEwP1qAE7dPzI9/WQpSzc+sxnRUsbKFoQB2f6jlF+9IyMnvKDmlVb6jeogP553ignwcT2AvWqrhfvDjxkteemiGLZu/1ZYd6D3xhiXT431CtdMIL0LGHtY3SJILCFpMc+Aju0XaKX/AmTHq6tHxXT67hZgQ+Ro2ALSweIfBHC/ZL56oOOcXKFmUPfnmpdqpvn1xgIjzqbevDc7OKcozteKGkdkNLUTZ22Bd+E7GvN/6m64zgF0b+VL7MnGLaHFw5oN0Yi2hYRtmVv87r7L9vrJlTB7cBR2yVNwIFbJeeljJ50Gufa96mXaIclPe2mihB4NrC637NR9jN+suUZVa70EkVuyGEIsmmJIA1JQQBJhMhxvoI7QDb/eGjGB/qYFK6fB5t7YZAhqEUzMHySda50im7FRAl9Z1XlwV14eKsU7TvChZW8F5efEl6aXd3NWe2IX/3aD9a0CcZgTUK2icCbaH/gt95tGsj9nqiH72r+QRZt+L0wh7ch0x8d700Kf92cIVByJqFTgAlZJOUYFzadY2X9X7orPxSQKGF9wcSsHqcktIEN8DPyjVD+5J07hAoVuqakIreTz5Yq/t/fPe0qPtD/4l+1Phr7/VU45QahfdPx57l9MIC+ij0+fa+CDlsXPWTDlLzQPup4WXokWpI38V6UgKFXhvVpyVCon1n8OzQrtG+n+gxSSYOW+dTUuHbg/sHewjcCITqpxJxb8izXKWs+nvsHGtgPIQ63/m/Idq/IMTtmxZpvcw3EM8M1sRuYnaxYAxUNWWHils6c8xpjVFFDfyd7paQFhMA468ZSseKNUPvLoPF1KPPN7MWjVRfhPcCYzwj9r5o5YLTx4PVN9HnoES7o6vVTzsXlqMpO5r+//pCGXW7gjzzgBrPrfX35x1LH3HX/ZV13uhf7u8wVvcv9h2EeD74ZvTuOsPvdh99voG+Dn1G0ypv+L2Tpt/DdfDDeablfOWd6cbqlgsi53gT/aeReMxj3O4V48NgLtAQi8LML6aM/VLHjIiHRNOnJ/O5Io4J5hLDB6zy68/feGGWvn20L7T9cCTRY/lw6mBPE+23Lpr+wV5uuP035jMtag2U3l1myJ6vLSMpfKcwDsZ4H1JexUYxEk1bipQZ0iernGjqFuyaRH7773nYMrRAnACjs0BdBr+2VI/bp45VLkFTxtL4Nox409q9WLjYNa4uAZ27k2ANWruhh6uqYDcdw7lYeZldvRNGLBO8M4mQ1MApEfcVbZ5396rq++Z3bu4/doP/7HZNhmpjAIxHoSu0SzTvdahxT7j3AX2OcZmp3a4pPYpTzC5UHK+g4oO4jXnt16TFthG4dOSkEOffZovEK098rLYVz1cT787aT5eZ0E0dt0rGD1uq/4zo7a3KL8/Jf06qj8E8mfnhOqnbTD0QF4HDffy5SaceNX2+fdzOex0zyr83lLsEOPNvU3+gLykcX3cvWkX/hpIV2+8RcKHLrcP9soPrgucGtJSXH5uuP6ZQAlStd3rbKwYrdZuUECieoCyD1Wy8ghRhgvlUzw9EegbeIZRyfd9t59t+blJggPrcgFul9z0TVZC0PdK19YiAi3FPb4y6LeA4LB4vvuRC7fcQLB7r/n5AGhxYvugb3xbYfs9aFpM4/p5ascSfl5jgW83aFpEl87drRQoWFPBnJMPF6bQvra+URRmc/mNFq/fLdfyytLc5Z7tB1Fjj0N+rHuY4PsYrVR2QRz3lw8kE5IIfqe8P/qIV1x+8t1L/OQVBoTBZ8xJM0N/WFsiWlaBbOmM17DUxd17TWAU2QgAvCD70laq7v0vO6yL9DaULlMT4AEBMhxssHyycTEhZYQxHwRwsr2Scs7dB1BtbpSN5byN9V2AhOnygNYH+688Tcu/to4Pe5pT5D/gFM8x09aVqweqUvPz4dPUXeCkCbRm/8/azqGeGDOm1j18o9HvcMSbwYnVk2sTV6p1u6HouXgfhl23lkm/1BHlov+WeQW0iKu886yN/6tQp19VjkxfewwP7fg5rcIzvBhTLWDCBlK/m7fMY5/Gdg8U6+n/8OQULeAju6bW45Exv/913RHPpffcMbeXo1Reh7O++/VuuzR/CzNOlICjn8O2GQNnZss6bLqmsQ/jmRPKOODOK9J0x16Nd41sIf34YR+DPLuB//xMNBFvAz5iogSgsbbF44xxroE5wb9BcLaj2eWCy/n7u2l5N8hW2fMNFU2csMGKh5AbV79rdLdnzMlZnl152oWvAUme5dRoXkZGDF2kXFpBa9d0V0QNfWqCVhRDsvgq2A+vm28rJwy9YEwgoll8c2FKeefBDPb54tOtEZxX071XK3VI8g2O6FhLmQcTwwE4bGAQgEFWwAETBsoy6/7e1K3yPu7YaLs4gptH2EbAKHzOtg/TsMFlvx/TqX7DgAIW+CXqLWBADx3aQBzuN13252zsJFjCwgAXtmVrEMc8Dk92vlB9vtFn7eBP3NWlOT31f8ZrHuLUBuGRaMm+7bkPOIIqFiubU3w70b1gUg4u8WCXaPj2Zz3XFF9/K8b9Ous4ZMAeAWyS3yb0Xm0SO5b3KDHY80m9d1P2DrRLh9t9wUQajIYwp3Ha9tOlUyTe/i7YtBWPjdi5Z5biVHfOxBH77ry+aUQeuHT98md7d/ebYW7Rv4rUqkBcW+t54frb+swv6E8+dvqqu1esXU33hIn1JWTV+QNyapEqMvOz9OXQ7i1Tw37gHYE0NnJL6UIIXhm/Dy4NvExgteY3d0O7eGNleoCs0EvV7Hca4J3iNT5/FXG7dqt1+caSc18Jq+NNp61XAam99je+aNNg2IjO1ddKJ8je2SFSpVUgrkoYNWOLLBRO6Z/vf6rOEQMNp3bGSfLLsQW3F2rZrGXnomcayd9cRbdHmFFhhDv+wizRteYO2joUgj6atbpCpi3pJp/vLOy8J+zeUf/1H3uGrGyaXhUvkVAo3a6sfMsJE/oN590pjZQGHwQrSlFUrrC8ObCWjZrSTkhWukkHj7lRKhALyTr95AT74nn2roU6La8z2t7ArGCThE6/cLE+9erMKIGZZDaJeJZXfXxx7f0FnyZbLfd0A1nzzN/WS+9SWymuvu0qXYO6p/4g79D15TTIbtsgvCzc9KF0eqO27FtfnL5xVP1Mosrr3tqzQPnn/a+07NBrpO7K53P9kI/2cIagnypy/oZfAl9Zll1vKD1iPrVwU6CsPbe7xl//nux7PDVbTV2QKYQprq6zdEgBWxnY/Ufc9UVW3PXubRNvEbxzv2Se4hSgmIVhI8LL+0tVQHU/dm0pK3UZFw0KY+7qM2noXUkE5Zk/kh75wiWt0OWg38G8XSkqUxjtlWYSEo2AOlV8yzqMN2t+vSMuM5F0ZNmC+HqRHI2h3Qyd2lllf3avfafPO4Hgj5bZg0pwe8vQAb2Vv45YF5LPVDwoW3vCeGMH1NZVSaORHXQV9WKLF7pfNaTERS9n4yHutHpt88R7Ciizcd8b4zkX7D/V+wo0DIr2Pnt5NfyNwDQT99iPPNdXPzeljNuz7VQpxRDIfMrGTVjqa52ee3Zuj28u0pd2iUhZj4jHsjeRaAUbyztgZQVEHvnYGeA9u71JFt+3mdyRmt0XYz0klhEJ0/Kx7fW0Azwr1xbND/ctXzyb9R7RXsRKyBkzyIilHp1XtAnk7fXY784HVffV64X1f8G7ABzMEYzJMVp2yZc3PeiE3WsFiO77xbuMLHPt8zSMhv63Rlh3tdSaGR7gBiNzKiaX/R7uaPLen31jEr4wY+ojz1YawwZNa62Btzv4F26Gff7OlzFlrKVXtZcJPN8aRZtxr+jy8k43UwvZ7M7rL2NkdzriyGHXGZHfsTCugmuk/Uc+SKlbDebaZVKzzGLfnro+pz4FxyYQginYrbowT0a/BMgsK7IsuVibRsUiMfXqynusrQ5vqtoU5k73toD+fvbJXxG6REjmWj/ZxRPKti6V/MPULp/9GWhjU4P3E2NHMt823Cm0Rcx8tMbalsLklq5ywKxR5wkR++81OEMy1tWsk1d+P/vgOrVMxugHUGHNozA8wHgxmnFBcGQMZCXdsEDmR4FfEwkv35+rbYtdvBC8turOpgVN0NU/MVWhTaFvOOTPaII7hXO4CNqOVGN/rkOOeMG8TFvT1m5YK6r4T8zPodtzGvG7FpLW2cd5/Suw3cuzYMRVRPHCA73azqeUYlMdDXp+rLBjzxn+FKLXcZIT1gEXGHU1GaqV8vxG3+20xjzCrNJvcMDhx8pRSZt2d8CBCaQkUXHbAchxW2FCsU0ggXALYSt6uyXD599R/fK9CQMMi1cN3TdCKsyHvtwmRmqdJID4EoEwyVt7OXQbxKSF4Lv36LJTpk1Zrhe6d9532hx78quSd5fgoeaxZUvIIYFx36t9T/NYkD/lZWVJq77/PSuhp7KbMGAOLVONm3u1pPJbGbivu1SWnuCM9azJMa23jjFgYnzVPmzeSqgn8ePiEVpjnzJWZymL7k1JLRMd+/1tbGVepSWVxqm7EqbByR4+ckO+/+4XvVRjPxvibrV43POvMMLJkEhIIScD4N85xbSa5MkuM1oYhSwtM8NORY9rir37TwGCugamTf+QftUnjr78tP+G5clu7p5JfC5ZIAvEjgMCBCJYZzH1Z/EpjTmczgdTef5/N7NPKvR390XI5ValGASqLgzw0cgoC5xw/ldbaBhXG53iDPZtv/+qs6bVSdNeOw76gffZtfGfzvQe7tw/GbJId2w5JOeWY/Uz7BQxWT55LnQT4XoX3XDCBnzJ2hVac1VDb/ikkkCwCJshv/kLZA+ITJLoO8De3YvEOKVUut5//9ESXG0n+n3y4UftYhv/mXNeFDrAbSd5MSwJngsCwNxYrNzVZBHEVKCQQLYG00H9He2+8Ln4ExgxZpDMzgdnjl/PZlRM5nV3PM553k9bahrvz2ngSYV4kcIYIQBnasn1FgUN7E7QPypuRU+8O28fMGap6Qordt+NvGTlogQ6oBZ9jbTpaPqQTUhgzPWsJeL1XY6Z3FQTIOudFRZv+ZMrXMmrwQh2E6JY7KqRaxdk5/6zOJgCq3a1bdURGDVqk3Q3hW3fL7RWSdoc/HvxXJo5cJh9N/EqX2bZzig/LpNUgdEHfbPpNJgxf6gsq2ay1cpehfDlSSCAtExj11leyc/shGTimdVq+Ddb9DBJIC/33GcTDolMILJ9/QLsARdCySjXyn5PuLsNpDOQUDqVzM01abRtUGJ+b7fWcuWsEK7wi86UydthiHd26YJFs8t3eo+ecwtj4LMaDR6CW5wa0DBrQ4JxpILzRqAi4vVeHDvxyziuMjc9iAxVRcxEEiUICiSRg799RDoIPPfZCs4iDPkVbR+Pz0l42go2kFrHXD3WCMr3jvTWkeTu6ikktz4j1iJ7AeeedJ4MnKmUxFz+ih3gOX5na++9z+NGkmlu3x0VApSpWvV5eG9I81dQvtVSEnFLLk0h99UjrbYMK49TXplijOBOo+7/rBL9iki0AACAASURBVH/nuiAKaYu2FaThrQXOdRS8/zgQ4HvlDhHW+9XrFpYOSiGVLRc/se6UeDTeBNDuCpfIKTUbFJGmrQvHO/uQ+SG6+v9al5M2d6VOv8VQohctkUsq1ywoLW4vJRm4GSLkM2WCtEGgY89yaaOirGWqJZDa++9UC+4cqhi+oRWrFtCLrQWKX3YO3Xlkt0pOkfE6l1Kn5bZx3n9K7A/r2LFjkjFjxnPp+fFeSYAESIAESIAESIAESIAESIAESIAESIAESIAESIAEFAEGvWMzIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ASoMGZDIAESIAESIAESIAESIAESIAESIAESIAESIAESIAES0ATirjA+8ZdIm9ojpWr+vrJy0UFiDpNAvz4LNbOJ764P8womIwESIAESIAESIAESIAESIAESIAESIAESIAESIIH4Eoi7wji+1Utebr27zNAK22njtyavUJZEAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAqmIABXG6mHAKnrvziP6sSz+fJvr41m95Af5YPQm13M8SAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJnAwEqjNVTTH+xSKMWpSXj5RmkXZeqAc8VbiIe6DhW9u36MeAcD5AACZAACZAACZAACZAACZAACZAACZAACZAACZDA2UIg3dlyI7Hex533lRX8UUiABEiABEiABEiABEiABEiABEiABEiABEiABEjgXCVAC+Nz9cnzvkmABEiABEiABEiABEiABEiABEiABEiABEiABEjAQSDpFsb7dx2Xrq1HyK8//ym9nmokt3Qo7lelnVuPyfujlsvyxTt0mgwXp5PSZfNIqw6VpWLN7K4PEC4jhrw+V8pUyCtvvddSZk7ZJpNGr5Dvdv8kV2S+RMqUzyN33lNDChS/LOD6Hm2nyLpVe3zH+424XW6smVP/XrnooDx81wTfuemTVgv+jNx8Wzl5+IVavt/6P/+KTJuwRT6dtl62bjyoD1173VVSvW5h6XRfZclwqX9yt1+//SSy/qt9Ur1hbrfTsmHljzLq7UWyYfU+OXniVMj8+/VZKBvX7JWxn3QQuUBk2dz9MuyNebLrmyOaD+p2zyN15LIrreJ2bP5dRr+9WL5cukNOnfxPKlTJJ/f1ri+5C1ziWh8eJAESIAESIAESIAESIAESIAESIAESIAESIAESODsIJFVhfPxPkSfum6QVwbfcUSFAWfxQp2ny5Rff+pE9/tdJpbjcqf8q1cgvfUc29yS/a8dhadtgpOzfd9SXBmUtUoHs8Fe/WQl5ekBDz+tjPfHl4kPSu9tErcS1CxTXE4Yvk8ljVspr77T1VHzjmnHDlsrIQQul64N1A6rz73GRR7p+pFl45X//Ew2k+R3FAq6FcviTKV/Lt18fkqnjVvnOg88nU9bKp9M3yNN9Wygl936lsF/hd/3yRTtk1bJd8mCfRtKsbZGAvHmABEiABEiABEiABEiABEiABEiABEiABEiABEjg7CCQVIXxUz2maatWKH57PVMjgGDthsVk3+4fpUP3GlL3poKSAQatSvc6ZexmGTpgrqxY/K0MfW25dOtdOeBaHIDyM/OVl8rbEzpKqYpX6zQbV/0kw99coK2IP5+xSTJlvlR69qnmu37QxJby7wmR+9q9r6xwv/PLF5bGS799REa99ZWMGrRIGqvAeE+8Xs+1bBysWDW7FCySTa7Nd7W07VRFri+aUafd8/UfMuiVz7Si9/lHpipL3+5yVXZ3byD//HNCHn2+qTRont+/nP9EuredKFs2HJAs2S+T+59oJDUb59Fp9u34WymZF8j82Vuk/3Oz5cIM6aVJq4L+16tfrz01Q1/78uDWlvWyjS0U808/MEXSpb9A2nWtKnc/UEnOTy+y4csf5ZXHP9ZK+PeGLlHPpYhccnlA1jxAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRwFhBw11om4MYGvrBEK3zzFcwiLw5ytxKGknPKwi5a2amVxRDlQqFlx+Ly1KvWNYs+2yYn/nKvYMmy18r4zzr4lMVIVbLCVQKlcJcHauuLPpr4lVbg2gWK0QsuUAV5yEUXqwRKLswQQr+usnj3o9ulT78GPmUxrstb6FLpP6aFFCudSyu1587c7FfSF3P2KQvf9fpYx3tqBiqL1fGhry/XymLwe//zbj5lMa7JXeAieW5gY7n30fo6j8ljlmtFu1Nw7YTZ3U67ukhh+9gLzXxJeyjXE90esZTFOAjF+6tDb5OMl2eQHw7+KssX7XJmy98kQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJnCYGkKIy/XHRIK2phvfro8/87rQyOAGLlWnklx7WZtKXrj4eVSbCLBFP63tm9rFa2wl3EvE+3ulyd+EPV6hTWhezfq5wUp8j3e08oNx2TBRa+kPMvOM93zvznz99E5s6ylMwPPXOTJ7/bOpfS9wgr7pVLLP/J9sxKKl/QbtbBxcuc9pVcuVahgPLzFrxEChe/Rh8/fEhVhkICJEACJEACJEACJEACJEACJEACJEACJEACJHBWEghhMhv7PSPIHdwwQFF732MNpHi5zCEz/fNX5YZi3BqZ8/EGHbgOge8KFc0hv/9qmRbv3X1EcuSxAtOFzMwkUNa0ZSpep5Wpm9fuU0fLh31pNAlXL/lBK8kROA7KYChy/02x+t2780dflrBeHjj2TmV1vEk++WCta1Gw6oV1b4Ei2aVUBcvVhmtCdY/5C2fX97jrm8O+4H2uaSM8mCvPlbJ6Oa2LI8TG5CRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiSQpggkVGG87ss9MuT1z7UbBsh3yj9xKBnad4WMV4Hf7AKFq9O/cKh83M5ny3GFPvzXHyp6XIJkzzd/ymPdJvkF3kNRUOK6SeasIpmzZpUFn3obexur3h3bDknVAn3dsuExEiABEiABEiABEiABEiABEiABEiABEiABEiABEoiZQEIVxhOGL9MVrFg9v2zfdFBmfbReaqnAduWqZXOt+BvPLZap41bpc3UaF5P23ar7fAGvXX5Ynnt4qvx0+JjrtZEc/PXnv7Qf5PQXR3JV6LSwpr739tFaQY7gcp3uqyX1mxXSLiSOK535wJcWyMeT14TOyJHi4Hc/R3wN3H9QSIAESIAESIAESIAESIAESIAESIAESIAESIAESCASAglVGKMit9xRQXo9U0PeH7FRBr/6mQzpO1dGVW6ng9nZZcOXP2plMRSdj73UTBq2yO93vkSZrHLxRRdGcm+eaa/IfHHclcUobNArn2llcenyuWXgmNZyfobTVYDS+Brl1iEayXRVRn1ZmQp5dQA/CgmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAkkgoC3H4Q4lNbidktZjKza3FVSipXOJd9s/V5Gv706IPcFc7boYzXrFw1QFgckjvLAd3usYHNXZrksyhy8Lzty4KTyV/ytTtDj8UZ+ymLvq8I7ky375Trhsd//FvkvvGuYigRIgARIgARIgARIgARIgARIgARIgARIgARIgAQiJZBQhXHlWgX86tPjsYbagvjDcV/K93tP+J07dfJf/btgseyR3kNY6X8/KrJq6U6dtlS5PGFd40y0f6/KxENOnvxPB/bLlftKyVfAUvB6JA16+NejfwScL1cpn+YGH8YrFx8MOM8DJEACJEACJEACJEACJEACJEACJEACJEACJEACJBAPAglVGDsrWLxcZrnp1jLabcMg5Z7CLheks6qye4d7cLiZU7fKoe9/dWYZ9u/hby2WHw7+KldkvkTq3VQ87OuQ0PgDhoXyn7+5X5ou3Xk6Hep4YF+g0hc+k+fN3Ox+sTp66aWWu431q/cFpMmRJ73UaVJMH0cQQa86BFyYpAPTxm+VmkUGSPOqQwV+nCkkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJpk0BSFcZA1LVXLcmW8wr5Yu42WThrj49abRUMDzJ35iYZ2neF/JtigHxo7z/yTM/Z0v/ZWdqCF3LsN+WawUXWrdojLzz8mfx40LJWRpLl8w9IuwZj5KMJVjC9TvfWkKuyR3bbtRsUk4yXZ9AK5z49P/IpRVHOzq1WEL4s16STilXz6zo+1XOKbFv/i6+Gs6fskFb1hmp3HJB/jvtbV+NYmRuv0+e2rN+v7/cPh2780ecbSL6CWWTXN0ekaZU3ZOKwdacVxwrL0rnfyV3NJ0jfJxfofJIleE6wGMd9Hzn0u0wZtzJZRbMcEiABEiABEiABEiABEiABEiABEiABEiABEiCBOBNIeNA7Z30vU3HfOt1XU1554mMZ1n++VK7ZWTJcqtxEVLxaB8hD4Lvxw5bqPyOw3O35ZEM5+c9JFTRvnsz8cJ3UbZbPmbX+/dn0jfrPTTr1qCm3dIjMuhj5XJ3zfOnSs7a88eKnyk/xTmlTf6Av+9vvqizdi1bRv3s83kA2r/9O9uw8Il1uHe5XhYJFc8hzA1rKy49Nly0bDmgFb9V61/rS3Fgzp9RtUkLmzdok82dvka83fy/jZnX2BedD0LyBYzvIg53Ga8UzOODPKVBGw5o5/cXOM4n5fb5qQRdeeLoZXZQh6U0qMTfGXEmABEiABEiABEiABEiABEiABEiABEiABEjgHCQQmaltnAA1aVVQqtQqJPv3HZVhA5b4cu31TA15tv+t2pIWkiX7ZdK6YyX5ZNmD0qpjCWnbtYw89Exj2bvriEx8d31AbUqWu1aGf9hFmra8QbueMHk0bXWDTF3USzrdXz7gmnAPQNHcf+QdvrpBiV24RE65Kutpf8W58mWQD+bdK41blJYMF6fTLirKVrpOXhzYSkbNaCclK1wlg8bdqZTkBeSdfvO0Ytcuz77VUKfFNRekD3w0ma4WnY9JY1xlgFOj5qXlvRndZezsDklTFuu6nyfSq09j/awqVr1eWZBbyvNwuTIdCZAACZAACZAACZAACZAACZAACZAACZAACZBA6iFw3n9K7NU5duyYZMyYMfXUMIyaQHk85PW5UqZCXhk0sWUYVzAJCZAACZAACZAACZAACZAACZAACZAACZAACZAACZCAk0CgGaszBX+TAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmcEwSoMD4nHjNvkgRIgARIgARIgARIgARIgARIgARIgARIgARIgARCE6DCODQjpiABEiABEiABEiABEiABEiABEiABEiABEiABEiCBc4IAFcbnxGPmTZIACZAACZAACZAACZAACZAACZAACZAACZAACZBAaAJUGIdmxBQkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkcE4QOO8/JfY7PXbsmGTMmPGcuHneJAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQwGkCtDBmayABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiABEtAEqDBmQyABEiABEiABEiABEiABEiABEiABEiABEiABEiCBs4DAjwf/lYY3DJQm5d+W7/eeiOqOqDCOChsvIgESIAESIAESIAESIAESIAESIAESIAESIAESIIHUReDDcSvl2G/H5Y6u1SRHnvRRVY4K4xDYJr67Xqrm7ys92k4JkdL/NDT4uK5N7ZFy4q+ILo1L4n59FuryUX8KCZAACZAACZAACZAACZDAuUUAcxDMRTAnWLno4Ll18+fY3Zq5H/6lhEcA70Q08/zwcmcqEghOYP+u49rys3nVofLz4eBpefbMEEjL/eqfv4nMnbVZChbNIW06lowaYLqorwxy4cuPzpX5n26W43+d9KXKcHE6yV8ou5Svml/qNykhuQtcFCQHnkpLBKAcb1nnTcmV+0oZN6uzpL84LdXeu67fffu3jB36hSxfvEN+/flPQRsuXTaPtOpQWSrWzO59YRzP3NPmfdm4+jvp9lBdade9TNCcH+/2iSyZt12n6TfidrmxZk7P9JhA3NFkpOzfd1TeHHOnlKua1TNtajlx/A+RUYOXy+efbJQjh36XKzJfIg2alZSO91aTy65MXi1New9V4rXXXSXFS18rjZqXlhsqZwmVPOLz9mdov3jK/AdCriDO+uAbeeWJjyWctKEqtmj2Xpk26SvZsHqfnDxxSrJkv0xurF5AOtxTQ7Lliu0T8+WiQzJx5FKdN6RUudzS/LbyUrNxnoBqYdD/8F0T/I6XqZBXBk1sGZA2GQfWLj8in05bL6tX7NTtFZK/cFYpW+l6aXXnjTGz8bqHSNrFjs2/y+i3F8uXS3fo73W+glnklttvlP/dXtgr+6iPP9F9pvz+618JeR7B8sai6ZDX5/rV++bbysnDL9SK+l5CXYhBf5/7J8vff5+Ub7f/oN8LI6ZfaNOxklxfNGOorNLs+d5dZsiyhV/LQ882kebtiqbZ+4i24vhO3HXru/ryER/eHbJPjrYcXkcCJEACaZnAwBeWyAfvrdTjop59qqXlW/HVfe70nTJl7ErZuvGgpEt/gR67tu1cNWlzx0RAPBufUyI4RZrn8sXfaB0D5OutB+XGrN5z90jzZnoSmDJ2jfx05Jg8/tL/RC6Inkdss3mPcr/f/4ufshjJMBndsn6//hszeJFWKjzd9xYpUyn+ihSPavEwCYRN4PkH58jnMzb5pUcb/nLpTv1XunxuGTimtZyfIewso0pYQikcoTDeteOHoNdDQbFu1W5fmnUrdwdVGO/bfUwri6/KmlGKFE/9yuLVS36Q3vdM9OtX8IHFIPOjiV/JswNulZqNcgdllOyT3+3+SfAHpSFW9oZNbpcqFlOwmj2kr78CLRo2P+w/Kfe3f0+3I7tAOfrJB2v1X6ceNaXT/eUjz/4/kQfunCqrl+/yu3bNit2Cv4JDc8iAUe0k09WRZ53oKzBRePOlOb4BoL28b7cfVgrEwzJ59Aqp07iYPDewcaKr45n/4JeXyvujVvid3/XNEen7zCcydcJKeWtMB8kcp65h6pjN8sXcbQIFfrwlkXlHW9e//zoh67+yFjmceTj7hdTajp31juQ3Fi327jyiL1n8+bZzUmG8d/cRXx+wZMF2adWxRCQImZYEwiLw568iH4xdLU1vLStX5TgvrGuYiARSE4Ed2w7p6ny59Fv590Q1Od+xYxqLb7PUOLrTveUDzqWm+0Bd/j0u0rPDZL/vPxaMzdi1er0i8vI7N6W2aodVn1DPKaxMmCiAQPM2JWTOtA2S+cpLpGJVKosDAPFA9ASUrcr82ZukSYvSUq5atujzUVcmRGFsalSsdC7p8VhDuSLTxXLs2N+6w/z8kw2CSSmUCr06jZPX3mmbplfcYqLPi1MlAayiQlkMC9Y+r90sN9a+xldPWOT16fmBHgz0vmea9B3ZPKH3UObG62TCiOXy9Zbv1UBKRan0cD2zZuUu7Z8GCzF//fmPrFq2S7r/V0XEY/7wVYoirmjJXHJppoTeQsyZQ8H5zIMfyqmT/8k9j9aTtneX9uU5dshaGTVokTyrzo/Mc3fSLfae6ddCChc/3T7sN/vd3p9k6rgv9QLDN1u/l6d6zpDXhjeLmYdbBuFaCu/b8bfc33GMqzLTLV+vYyf/Fnnk7vFaWYzFk+cGtPKbrE6fsFXefHGOfjZXXHGx3NKhuFdWrsefuGemVhZD0f7aO20kyzXWp+p3pZt+sbdlufhgp/Eyalo734opLOqXfvuIzs/N2ti1oDgffOO5xeqZr9IWJY3VB/ruB+rI1Tn9PT9NG79VBr/2mfqIb5Hd3x6W4R92kAyXxLkiKdl5tQsoWaEsRn/x4sA2UuwGqxOw833snkky7MPbYq7YtHFbZNBrn8ecj1sG4eSN/sL0GW7Wxm75xvMYrKaatS4rF5x/vvx89A9Z++VumfXROvn+u190v+Bsx/Es+0zlhV1GjVT7nzRqmbTrUvVMVeOMlluhUk41+btePfM/BRNCCgnEmwAWZjo1t3aKNWhWSmXvMUCMd8HMjwTiSKBZqxtkx/bv5dY7KgbMcew7WO/smvoVxo/fN0PPD7Ej9fa7qkoNpSD+Te2sGj9siZ4LYOF84AtXpElL6mDPKY7N4ZzLCuOlUTPUXIZCAvEmoCyKx87uEJdcE+rDuECR7FK8XGa5Nv9FUqR0Jr2lHhUf/mEXrYzDqtvIgfPjciPMhATiQQCRJGdPW6cVPgPfu9NPWYz8CxS/TLXfzpIt5xWyYvG3suhTdyuyeNQFeZQonVNbAe/d+aPs3nHMM9v1X+3V57BAU6hYTsFK8M5t3um/UdteIKXKBW7t9yzkDJ14750vtILzzu7V/ZTFqE77e26QHr3r677k3TcWJL2Gxcvk1v2b21/lOtdI/zEtpOeTDXW9sD17w5c/Jr2OpsAv5uyTji3e8blHiKUisz/aphf+sCg4eFLrAMumm28vKlCmQyaOWi7woRSugBEG1XjH3hrTzqcsxvVwPQKlO8qFsm3R54l9/8KtM9KNHrhaK4vxbRsw8g554vV6EWvJFwAAIABJREFUAcpipMP2/A/n99LuH8Dw9ac/i6SYmNPiWeCZoI/r9247n7IYGRu+lWrk17uBZkzcFlN5UKD3f262n0uGmDK0XZzIvONVR+RTodr1krfgJbqPKFnhKunQo5xMWdjF1y+gHX8y5et4Fpkq8rrzvrIyZ23PmK0aUsXNRFEJ7D5C/4+J4NnipisKDLyEBEiABIISqHfz9fpbkdZdF2E+iHF+xsszyPApd+vddXA7hZ3U+BbcckcFzQFzTMw105qcLc8prXFnfUkgNRBIqMLY6wahPO7aq7Y+Df8+O7d6K7a88uBxEkgEgQWfbdGWurUbFfW0VoVSpVELy5+w3Q1EIuoD619YAVvvygH3ItT2fSh3clybSfmOzSsllJ9liLEidl4Eq5St6628ylfO5zydqn5jULVk/jatNG/Vvpxr3W65o7hWvmE7256v/3BNcyYPYity4RLWNqPlajCZbPlF6agf6vCRPHHfZG2lXbNBUc0zFlkwZ6u+vGX7ip7Z1GqSV4qVukZ+OPir6ufDj+Qwd6blCgbvmJdvavjChyT6/fO8OccJtDssbECwKyGUz2q4erjn4Xo6/fxZW2Tz6p/DLSrmdPNmbtPPJFgf1+5uy4/gnBkboioPvqcRwAMKdFgxo83FSxKZd7zqGE4+rTqUECyqQ77ewkBU4TBjGhIgARIgARJIjQQ+/cgKMt/klhskX+FLA6rYtZeK66EMITDHXPHFjoDzPEACJEACqZVAQl1SBLvp8lWsCT/SHDn8m1bO9Wg7RSkA9vi2ne/b8afauvu53l5/Qbrz5K4etSXP9VfJo10nBcva79wbo+9QWz9/VlZcM1WwoevkrXG3el5rDxb09oSOUqpiaAeZZgsyFFZeW4v/Ur7Mly7YIzXq5/XfbqMWGKdN2KJ9nEJxDkFAnOp1C0un+ypLhsDvTUDd7Y71sQWmYtUCcsfdVeXUqeCrl68+Nk9FTdwkj73QTLBqmEjBBL9394nayqzXU40i3p6eyLo58/7rj390YKp8BYL7ernkEmvr36mTwTk784/md7FSuXQwOygVmkqhgCxgSQyL4mqq3VxyuUilavm1n/ANq/dKm7sCI2Ia/8VQVlxfJDbFYUBl4nwAgyoMrspUuM7bdYbaclFM+XqGteYq5cYgb6HUt/23cPGcsn3TQRXQwPLVFmdMntmhT+vWytqyiu3RfZTV76WqX0HAw2jlPxXLNGPGDFoR6OWOw+R9YQbrPTl58nQA1FDl5r7uaq1gv6GCt/X7ib//0dlclOGMfcL8buPD8at0/1alVqGAXQle9wtXN5VrFlALPZnlqizJew9XfPGtrhLeKS8pXOJqvQC1dcNBOXLgpJ+Vt9c15rhxBwIL5jtV4MMuD1bQLkIWfWYtMoS6Ptj5ROYdrNyEnFPugjJeFjz478cTtsusqWt8gXOKlswpzVqWlYa3FvCrUriBOM1F2PVQu0ExaXfTYN2/BhvvvPX8F9Llger62+Im77y6TLtNaq2C+PV4sqpvHGfSugZgjXDsE8392X0GwyjhfWVVH0kAW7gvQdDb8TPv0zsFMB4dOmCBL0BkybLXKsOHulLqRv9xorOuoYIBO/MNN2hovMZwiP69cc1eGftJB+3eZ8PKH2XU2xg/WLs3KlTJJ/epXTy5C3j4zYnwWbq1Ia9jdpbvf95T/jgG//uf++rm9T4484OrnTHvLJUFKhi3CZhbpnwe3T9h11gogesbLGRinI5+HuUimG3z24spP2HW1eA4fdLqUFnp83muv1rGzex4ej4QBUMzXzIFIvC0XbzcEblVEG6/urYeoXdy2cfopr8N1obt8ybXd92tQNsx53v29cbf5K2XZqs2+Z3e1o85TbcHa/vaH2InjFGBWr9QY2LU1+s99BURBVtzT1XqFNJ9GmTEm1+p+doqXSbmaS3aVpCWHU+72prz4Q4VT2OVbiPYZXTTLaWl+6PKLZzNLGvQS0t1/IJQQVfR7m9rOEguUvdv+p8QGMM+/UjnaXp3JHYROV3qRdtPIqgs4hO89V5LmTllm0xS9whf/eAQ7D1zvjN2l3P2doWbg/uzWiX6+u7Tq00i3gnimphAvqHq4AQHd2ufzfhGmrQq6DwV9DfGSTBagTRWfYOb4BuK4Hdweeg1n3O7Luxjyl9p+6Zj9Fzo0edvkmZti7heCld+1VXbzlvIXcnwyftfy2tPzdDjWezoC/acnAVgfjC0/+ng5OYdbtG2fFi7jcLpa51lBvvt/L4tm7tfhr0xTzNC24C+5Z5H6viMU+yBoGFgE/L7pwqP5PviHB8EqzvOYazmFv9gyujNur/Be4axdrBvYVrsz2AsFs/xaStl3KRs61Qgyi9j7n9hhDVpxDKZOXW973vwv9blXPUteIZu30iMs9AO8Z1DO+z9QlOp3jC3bg6ISzBl3BqZ8/EG/Xwh0Es1vLmMZxk6kU3i/R4h69Qx23be6X//iV3JaJ2+QH/gDn2vSIYp6OzKV8suPx/OLkP6zdWDTFiCeXWSa748qD9KUP6WKhdaWQw/kGYL8suDb3P1Q4n6tm0yRPvxrFG/o6/mXy5WStRulhLVfjtoHBOGL5PJY1YG9e+MBgvfh9jOagRB2bCVG3/BBB+DmR+u00n6Pz9LylXuGbfgRs5y8fF+osekmJTFzoGDswy3316DCbe09mPYRou/UIKIk5AL0iXeSN8Eitphe9b2+hlLYuNeomDRzIL737pxv/zxiwQoWtcoH5oQbOv38nEc7P6T+Tz271ENXcn1hS1LPK96XZv3Kn1q3y4rvVe61HQ8Gj+7oSYazvs7TymlKtcqqJU52XJZ3T2eXyxynsrmxSE3hc5CDV5//cWy+E6XLvxPTatOJQR/XnJcZbn48+36dJFS13olS9px8FytFjUhVdUgPBJ5fcTNAcmj8bPr9O0dkKk5oEZMhw6oTkFJ0ZLuvrdxDj6Vs+fIpP3s7txxWCmMww/EceGF6QJ8jXvWJ8ITicw7wqrEJfk/x5VjehfBpOXRbhP83MdAUYXBJf7GDLlS3hp7p++ddsnC8xDGNy1uKyHplK4aiwZYjITypVRFSzFivxCD9k+nr5fr8mdxn3yqd9xYStVuqJRnYUisY59QRZj7M+ke6jRNvkxZJDHH7AFs3RQnJh2U6TOnrpUC6vvzpIpdgGdgBM/h3naj5bbOleXex5ViKAqB0teMxczl9qCh8H/ds49l7W/PPt5jOEye583crSY/f8gbL37qdyfLF+3QRhsP9mkU0AYS/SztFelz/wd6Ydwu4bwP74/YqBQY8/yeHZR+iz7fpv/qNyshTw+w3EY5HyEMMl7tMyMgiDeUgvh76+XP5OXBrQXupyIRu6/WZDJ0q+NxZdDyxH2T9MQXW+YjjTfglmekx/CeTXt/tVx2+UUy+NXTLprsc5r7Hmsg6dV4G/7ww30PY2WLRc5KNQrKwJdnawWTEczT3nrpU+VKaLVSzP1PBqh5lH0uBpZYRPtcLTIMmdBZcuSxFs7RR0JhvGLxDuWmq5bnItxiNYfDPZZSO6mcMRAiZWtPDwMnKIvRR744yD/+Siz9JMrYpcYJbRtYxgmmzHDfs1juyVwLRW+H/42RPSnBVt3qgPbd65kansVt3bRfmlYZrNz65YhYYfyN6pvwzLDQniuvtwGAZYy0SbsZjLuoBb9K1Qvotrps4Y6A/lqXpz5h82Zu1O+7WQxx1mPpfGsnZKTjWbf+0v4OIybJ4PHtXNu927WoV6x9LfIAD7j9+vbrQ1pnYwQMPpmyVo1xNsjTfVvoObMzEHSw7x/yieX74quIx3+cYxkk27jqJxXTZ4rn2HDYm5fJW6M7qAW2QGOEtNSfod+L5/i0ThNrTgmFcSz972dKiYsxm/0bhO8BvlvjlJ9yjAeCGZviOugO7eOsiy5Or/RwlrIYCwH4tjgFwdJNGcMm3yW58imfZy6SyPco/Fm8S8ViOYQI0kZy5baUPeb3jMlr5fff/5bWd1aUrg9V0avw+PBD0Ys/E9jIrfw5H30rLz46TWvsH1DWrBBs/61Wp4i25J336Va5q1B5t0vFdJLocGFpEUyg0MbABSs7T/e9xfPhoXEUUpONl4e08LMurlg1uxQskk2uzXe1tO1Uxef+AArtQa98pp3jP//IVGX10V2uyu6vlMQAr2d7axURq3fdHqynguoU15P8LWt/kRcenqoV317y11+WdR7O/62UzCdPwPov/k0BlgIIVoYPRmq3LPZi5XYcq4nGWi6YlZ7btdEcMwpgWKe6WfvBkhhi3EvAX2LR0tfoVexN6w8KgoHZZfsmyx1FaWVhk9rlyOHfdRWNRbdXffOo9wiSkEGYV6ERHIcSAALLomQKlEJuCodk1GHhnD16oIYteEVLqk44DgIl+5vPf6r7Nwz+azayPrJxyDrqLIzFPjIwiztRZ5bgC/9Q661Hf7IWuy651H3AYaqQK++VesfPrm8OB/Qhwap5Q+WsyiVHfJ63s5xE5u0sK9G/Yc1ldhyUq3x6lw8sUB7oOFZP6PJen0UeUZZCZgC6aPZepaSy2j+CTo76qINW/EIhEWxcBL/gD3cZLydO/Cs9H2+kr4FUrllQK4y/WqYso04phbFj3LN80dfaAhmuSdyslTas/lG/49itUuyGzDrPQRNb6gCt97V7Xyu3nRLN2Cfa+0PZUNLs2/2jdOheQ+reVNBa2FeT5iljNyuL4blagTL0teXSrXdlZ1X17wnDl+p/YSHV8d5q2hIJFplvKCURxmmYgCACtTFEMHWF0r/jzUNd88TBZ++fI/PULi8zhmvZXlkrKv5Q0k8cuUxbyX3w3kq58MILAuqWiDHca30+1gvg9zxSV9p0KqPHq9vW/yIv9Z6ulTDvDV2i+BXxm+xH8yw9gYQ4sU8tHt//ZCPlBsnihPdkytiVmhO+B/b3wWSlA4ymKCAb3FxSuquxMiai8OM+dtgKrRzAOClT5ksDvpO4tv+zs3RW6Ne7PVRXipW12jiCx743bLEc+/W4T1n88Au1BH9e8uwDnypFzWZttWf31RotQ7xnP33/n3RrO0Iv7I2e3i0sa2ln/Z7qMU2/w1g4CaZMc14X79/vDVms34WHnm3i42P6O4yf7M/xgSca6PcQ86V+z87UQcac7yHqFy1bc29w3fRAh/d08EoYBWGSjvfzHdVvfDZ9o+bWrc0IvdsKigJtIab6lsljNso7/eZppc4otdvvyb71dJZoPyXLXSsbV38nyxftkrrN3F3CrVj8jU4fqcLO1Nvt31AGTrH2k/heZb7yUr/dKlBuDX9zgR5HuL1n5p15+dG5MjvFnYOpO+Yx7y/oLKYfhSJ26MS7AuJlmPT4plWtXVAuUrs/O9xTXf1fGROo/tT+rkNZWLCItzIYc9V6SrH02Kt13RAGPbY3xVglS7bLXI3HzMXnX2BFIj+mdBza5NH6GTTvSE5Wr1dUL1ZsWLNHt1XngoP5Zv9x7B/p3KNqgPIW1+Ba+GGuWtsygAj2nEzdEO9iwAufakWava/F+wBl7ajBC/Wiyn3t/INV4/pI+9pIeJi0sJh2vqdmDIDn/vQDU7Q+p13XqipYdSX9/cO46ZXHP9bfF7fvXzTfl1jGMtDv9Oo8VutU0Cf1eLyBb9yxfP4BgaU/vtXd24501R2ltf4s7uNT9a7F2v/+9ecJqdO4mHRX44HseS5UBqmidIvrZKTq59EH3t9hrAwe11HHb3OTEW8tkAP7fvbpxDBWXrvyB997CFeBE0cuVWUUl1tur+hbbERb7Ks8JeD5oq3aA76bchL9HsVfS+hGyOWYWcXBRCPXdf4TV7ycTgVjxRrBLQxRBBSpE0dYg/u77q/lA41zdZoU0wrjLz7folxbKIWxY2JktxKrr6MNewsGqlDmomNEPSvW9K8btmS8mWKlgY8clMVQ5vqJKv/dj24PKASTDjjH73rrJO2Xdq4aYDrdCgx6ZaEeqMCK1GllhGj3/Ua0820vCyhAHUDE7jnTNujO+1aldMlyTfybASZUD3Yep18g57N0q1OwYxg4vKlci2CyG66kT39+wgLNjBi0WPsAxWppzfqJV1gZBTDeiw1r9knda04PMmFBjFVR+IqFWxcjUGRjgLZu5W4/ZQ86p6+3fK8HA2VvdB+shmKczOdhFK35CgZXQCXD0jsUF6/zWFwyW9XsCww31sgpk+b08LrM9fgVmQJXjV0TnuGD6ItHq23NkHpNigcMSiOpHj7ItzUcqBVXRno93VhuaR+eRWMkZUWTFi6VIOjrs2QProQNJ/9bbi8t1WoXDiepL03WHOG1i99+PSE/HT6mvx1XZ7WsnrwKuuCCxO+e8Cr7bDru5rbIKEIwhsBOD/vCxyCl4MJ3083NVc3GedTWtI76+44xwIQRa8LaETP+3SWCgS4sVstVy+bDW7thIRkxMKPOa8v6n30KMZPA+LCGggMDVqflBCyTIVXqqPZqm/hisnXBBR6r7jGMfbzahdf9IT22FgdsL1Z1wHbyq5Uv9z73T1ELwNukc8/KrmMGuNVBEMtCJU/75IDiqP/IFr7tv0sXfKMmbmX8qhfM3cisD77RymIYNjitRTDBxyLfDTfmlce6vy/TJ69W47Qb/Sb+iRjD5ciVSQUZ7eC32wzxRt4c3V5vDcWYZ92q/VKlrtqZZCQBz9LrGY/+qKufWwxMvMGpXtMS0qvT2ID34adD/8qItxbq7JyWhdga3u2RSpIly2Xa0gdK52atbvBNvu3Xtri9gjz4nL9VIqy3+vRr4FXVgOMYA6CN2Q1Z4sHw8kznyQXnWf10sPYWUKGUAwNfWOJpcep1TaKOgw1c4yBAqBH0dzlytZXOLYbpQ87nqOdLI1rLnU0ty9YAg6A4tE/n88f7iWd/6sR/vnd40NiOp42GVJmtO5cUtVFWK7lXqcW4P36p59vpV71uUa0wnvvJZleFMeaX2A2LOBPon+Mh2OkZysAp1n4SrkGGTG7jV10EecXCxnuD12jFsfM9M4kvDOJazLRrtHO092BiLfr5L/yZdz2D6sdHDlwon3+y0e97gHf9XeVqCAJlUjTKYlz7Q8ru5wvO9/jupVTcGLfA/eEJpTOOd0BULEpgPrhlwwG9+6dpG/82ZHa0oD9HPAvnQrBZJMbOCxjb2cXrOYHhMBV03OhE/HYpKByoQ+1GhaRz85Fa7/DB2E0+Nwvx7mv9a3z6F8ZTQ9/vcHoukjIGyJT5Ynnu4Y90QgRQt9cd451Xh96mF4XAy77IE8v3xauOOO45llGK9/5qcQzKYmc/iOuwy6VynQ7yQPupslq5Zpw4crmrBXla6s8SMT6Ntf9tqsYJvV+u43uEeEfadi2jXFSVUcpiy5Bz0KtzZNiHt7k+5j07f/LzHoCxsn1MDgPRaUu7BVyLtvjOpA7S4eZ39Tu0com/MWAy3qOEzgj/OQ7LVX/BpKNdgzG6QUOwNcu5woYJVDTboga+tEAPGp0r+Cjnxmo5fVHpscLmFOOOwql4c6bD7wHPz9QTuur1irjWs/9zC3WkVAg+cucH/8a5FaEsoi2Fwf69lv8Skwgr6qbDf+Cphq5bUjGZqV7PW+GADxQid8Mi6b4nArehulYogoNe/tAiyCIgKVZyEGU+3D+kT4SMH7pOb2nBSuSDTzcJWHhIRJnI0yganW4pYEEMBZDTWrhcpXy6juu/sqyPTb127zimrXALFcsZMBiIpO6p5XlEUuczkRYrfsYlS8ACg+oXwm3PJt3lyTVQjg6Zmij17jZV98W4524Pu1vuhZs5/FbalcW4Dn4ssS07NQgscCHR9vXOe4Dv+kjbRTj+7p3l8HdyCPTuNkmq5u/r9/eUcm+AxTAo7p9/s6WvIlAWLF9kWZfd82j9wIVmlRLfdyh+IXqnC6yUggi2TJptyPc84u/eAEFVy954nb76i7kqL5tgrAbFhhGn6wQssi9TW1fxnamrrCLiJV5jH6/8g92f1zXmeOVaefVCDxZjfzzs7h4kX4GsfspiX55qwlmmosXu0EHLzUuo8sz5WR+t1f9F8GevrYVV612rx7Lo++bN3uyXdSLGcCVVsFynggCFQkFmfNUbK7pw7zPSZxks3/QXui9wQamNIFMQe1BZGFtgnI537L5H/RW+phzMM6AkgqIDBiVGPhizwrdo8+DT7tcGq6v9HFwowRodZTgNWcLJI54M7eVBiQ0FHt5fuFUIMGoJp3JxTIP3zK4sNlnnK3C5foaQSjUKBJSIb19FZR0N+SVl90xAIo8D4bCtXCuwTGRXsJhlKIR6u73DdVSfCLYYn2Oh1khdZTkGgw1jAeqsmnFHgX4Z/XOsgsX7ga9Ylp9tOtwYYOAUTv7h9JOeC4SqgDu7l9Xzb7wDUOqfCal3k7Ul/YcDv2qfokaefXCqz51IKGVvsHq7LQy7pU+GcUv5alabNWMJUw8TRNz8dgtqPP/TLfo0LJXDFYwN0Nfie+Wlu7n0CqVYu8uaCyxbcHrsHs++Nlh98X1zi8NQvMxpo6/Kqv5OQZ9kvn+HD1nGIUgTy/fFWYb5HWwss+jzfbqd4j3q9ZT3N6njvdY5jM3c3A+mpf4sEePTWPtfL0MaHchcjdkhMPbEblg3gfGq08jULZ3bMeyqqaAsyyFm3mnSJeM9ir9pqe0uscXEuc3EDqFNp0qBlh8qQWnlFD5SWbnggHw8eY37Cj4yU4P76vWLKciLtMK1VMV6fkUYdxRuHYY9ofEBhQHMM/3c/XhCWYeP0723jw7rNpxO+tEh/KtWkyDOLfYrl+zUH10othE0yUu8GrVX+ngdX7pgrwxT/uLw8WjXpYrnxyNe5SUzn1FvfSWjBi3Sg8BnB9zqueUgEXUy/ka3K+tgu8CCGFImZdJvzsH6plDR7HrLM5QQxofa1o0HdJIS6uNJiZ2AM9CMV46wntGKoeDGB16Xp5nj/yoj4J4dJustoujH+qvdDrHeMyZj9u322FoJaxlsMdu9w93HZzKBoT+gkEAkBLD1usv9dQJ2D61esUt/36HELFPB35WQPX+MMWCxtfvbI3LkoHdQwj3f/Kn8HVvfLLsrCntemBhiNwr81Hb/r4pvAd8oiLs8UFsHEFoyf5va4lrHZ+lqFtmhcPOKCxGKSSRjH7e8wrk/c50zkAieQSG1oPX7r5b2AG7ScuTxZu5WfrYcahasxDlOc0trjsEVCRTxUBpVq+selMikLaB8acL4wGk4ECz/RJzLledKbeRxUAWQ9pJYn6VXvuEch59Z+Ia1u+0yrrrKKEvtYFZ8JVTAXDwPe0Bas9COOUOs36+BLy/QCxJuhizOe0sWQxh1mF2S8A3stX3WWb/U+tu8h8Hqlyy2pg6Zrkyn4gBcEeAeEAsw2GqNPnfWR+sCdogYdxSRKOw871vNI43LkXKV8wW4tnG7LhH9JN4hLK7BiGDz2n2qWHe3kG71ieYY5jwfjv/SL8jldfktawuzOGjmRM2VqyEErHr2oQ+jKSpVXoMF3PHKn+q6Vbv1lnmzEIj2hgVILDgf/fEPbSFv3zlkrNvhRq5ClfD1MGahLpQLFQQnhxilPfrlePa1iXoY5vtnzz+W74tbPUONZcyCfiiXqfkLXa13JzjbuVuZkRw7U/1ZvMeniex/4f7TWPc7d3cb1qXL5Q0b+4KZe5Rec7XecYJ5AQyw/lQGVBDnWCwZ71FCFcZeVAqXyKlM/xsERJc26a9QfpAiEfiU7ZviayzYCr7pRNeqoF/wa2RWm4w7Ckz8a3hY5sJnHCLcGofpv6hgTt8fUD4GbdunTJ2xjQodbyhBB/GYsj7Ci20XfFS9ZO8u61wB1XBSm+A+EJjEyNxZm+X2LpV90UdTW30jqU/fJxfoBQmjLE6279Tri2TUfiLhv8YeyA6dBD4OJUoHTnRhdYxtSVBCNM1jrZxiAAGpVM2yyIiEAdNGTgDtBSuKxude5DmknSswMDVbcqAsdm5vjtedwILhmtyZ5eG7J3pucYxXWeHkk1tFTIec+u9f+fe/cK5gmnOJQJ++zaXkDXn0gO8zFQRpjPJ1hujbxVMmT3YWP6RYsCDgYDCLvyuvttwPIc+9u48qt1KOvaMpmb7yxMe+CaJ925u9TEwMMUFEQLEtay23FMYSCe9x+25llW/KS+R15T/NruCYP8uyRKpY1d0CL9gzjmbs45ZfOPeH64b2XaEm0Ja7MpMPtna6+Vh2Kyeex4wLG0zcm1buG8+sz0he8XqWsVT+mmstf4F4H3779W/1PmSUo0esuAEmIK5X/ma+ceSH37Tv7RPq7+hRZRaspEjx2MbZC2dhwhfEkCWlUslkuO7LPcrX5efaqAPynfLvfTZLMtmGy9EoQbAQZw+yHa3Czq1cKASffehTvbsEcmj/LwJr92C7kRLZTxql/l9/WAoPtzrH49gzPWfL/NnWt8nkh7YOIwY3qX1TXk9rQLf0XscyXXXaJaBXGhx3WgYGSxvtOSzgFi2VUy+ELVXWvNothVo8mD97k16obNu5ihz47qhWGNsN6OCuA33oDUq572aN61Yf6E9+/dladIURx2tPuaVyPwbr93j1te4lJO5otN8XuCBwk1BjGeOeEf6p8ZeaJJH9WSLGp4msb75C2bTe5Q/lcsZN4Ec7lGD3DxZ0zTfapLcHVrXnkaz3KKEKY/jA6XRfLfkvZRYN/5uJ2FL9ypMztX+ZUCv46EQrqqizsNiYPzulE1XUjaVM2UrXeVrKbN90UPAHy+Irs16qO+J3+s6T14Y3C/XsXc9jhR8WyGgQaEDgVL9ZIT1J1FuIlHsNDDSdsn+Pv3LZeT41/MbqJSLmwiJlaP8F8shLtWOqFj5IdzTxj74bKkM8p3GzOge1LAmVhz6vFEAP3Gn5BIJF0suDbot6O0FY5XklUu4L4Kpl+qTVsm3zYSlXNatelIBVDLbpuW1dg9UxPixQEusBg7qX3Tss39cIpBetJPN5hBt4y2wHS8Z2Lzu3Z/q18G1XcvK89jqyAX6fAAAgAElEQVTlVzaI8Sm2rDx81wTnZUF/33xbuaCBdYJenMCTCHBpfJYHi4Qcrypgd4UveIGKOJ63UOl4ZR1xPiZoKwIPHTl03HV7aiSZTnx3vQ5eEYnc82g9aXt3aAZXZknvtwXfWNm4lXXqlOUznhbUbnTCP4bdBRbn9HLXA+Vlh9olgjGIm5+zSLdUoxYnTwa6/sJxBHLD1jgofZ2uKOy1x8QQ3xB8W1Ys+Vb5MS6vFcNQaN7WqYScp0aJCHaGoC+YcGJ78Z9K8YCFd7SN+k1Lhg9DpYx27OMsJNz7w64ws9CPYCXtu1X3+ftfu/yw8l84VW8bT5ZEozBI9nctXBbxepbhlhdOOijkc1+X0afECOcapDmlYmScUq/S0SMndBA5SCzc4VOwXxiGLMlmOGH4Mn1vFavn13OaWWonaC0VGNJrQUknTqOSbLbhYkLsE/TLmEduWXPad7xxR4H+OFyFnVeZX8zdpk/B0ASCBcFhA5YEBHc01yern4RyEXOIYFb/XvcU6vgjnadpBTm+SwhS2rL9jb7dlbDWQ7CoRIkJzP3P8dDGYqhDluyXJ4SBuT/jq9XM/+DSAMZojZqX1ruErs55tR5D23cOYQEDAiOXcAWunJxGb6GuvfjSCyW9mh59vy8+fW2o8uJ93q4kDzdv831xUxiHGsugvCM2dxjhlIl3IF26KPyhhpO5I00i+7NEjE8TWd9Yd/dDWdy7+0S9cIOg190eruML4AlDjtefnqHc1lnvqXkM8RqzhHr0CVUYIwq7m2+nUJWK5DyCh+DD6BpMwiWjKsofFSZrcEFhnMEbdxTY1hZMUAYCymXJlkEHWUA+KD8goEqwTFLODXrFCmxTunxuGTimtZyf4fRFUBpfo7YApkXp+WRD7cweq/pwFA+ld7U6hYK6z0it9/nD/pNyf/v39McQSv23RndQQVfCCy6ViHuCxTAm9ds3HdAK4yULtutOpVQ5d/cSsDqG9TGUxFAW7999XA8asZCTiMFaIu758sst3n+qgE3BxPhWxNahZAr8XwVTuiWzLmeqrDkffSuvPjlDt0X4dX/5HXdXPfGuX74C2fSEy7k1J97lhMoPQVsxKcO7hWjgufIF+kHzymPq2C2yXbmJadSitNxQ2d1K1OvaaI5nUFsAM2ZMeae0pY+HuYM6YxYnjQV1NOXxmkAC3R+pq/1XQpkLn3X2oLbZc0butPKyy9RDdcjm1T/L+2NW6omzlysK+yXYSopvy1dLdkjjm0tpxTCsjlu2L6uTYdBes0FRve0fE0+IWaSPtP+Lx9gn3PvDdlsTc+Cxl5pJwxb+O2tKlMkqF1+UmHgHjkfi+5lVKQogcVvU9iooCcfj8SzjXc0sWS1FDAw7IlFkGCXG5Vek1+OmWBcR+j832+fXs3k7b3+gZ4KhCZqE/geB2Yb0nSujKsfuPirezzLW/M4E27DqrAwJylfJrxV4C+ZsUYt0VfVlxh1FqK39YZWhEkEpPXTyHfL9fms+Bp/VtRsVD3BBksx+8goVZCwR848Z/2fvOsCkKJp2qWDmExOikiVnJOcjR0lKEAkHKBkEFfFXMYsiQSQjOYNEyZJzBgHJGURAESMYUf9+e673ZndndndmZzYcVc9zys70dFe/naqrq6umH5bKYuzT+w5r6hegNU+BR0OFzVY6Na9fEsHv9LdAfTNTwfFCsTT0/dbK74pCFh8l3EPuFm4Lzx3/g5aJgyHIA88k+RFGXjXrFfLcHCpbKScd2ndB9hnEfAqV9PPlgLHPeAVZD5aHU3NtsHKcfo/+a3d98eUlFFkG5WHcnBeiV6jGIb7luPrb5fnMcfnUZX5tYy1uAQz/aLncS0NP88agml5Z4aAnXZIbNP2LSI0jVxXGtkEL8UNYWELQAQVyRaHPTlnKbN90QlpoIlL8LuG7D9c04AzbjFQEX6UA7/BiFRlde7y4Xlqhak5Lbhcuf3Nd+ATUrgl1+79aXspis/LV88yPPSCVElcuR84iJhhP6j02QIjeDYKrjqaJZWRU2hEDVgofu4kBr9gGKgOT5eAJLcVVQc3iLVBa9S516pvDEkr0gfug1B84rqlt/kPhN5Q0hYpmkgv+wX3nRfIiUnEMKi58kxkRrI7zFswghKjj0s8l+g1IBdAz+iaUZ5FsD+V65cK5KwFZ+/qM9j5TtniICqdVpVTFR2jG8m4B6+X7Erc0YongTxhR5kGJnSvSsy+UCIs9uBfq02OujDg9YlpbwyBMqgBlAXuXsFaIKolD/BJls0mFsf4gMhSeoJiTgcVuukkojDW/+k8+U5jKVzYPWmqUb7qHQ+wXgtesOR6UvJ4+8Z3H0tI3T9xyuXTxJznfPCaC+jA5h4B+bZwi/AxiY6eUrpAzQD+I4E24Hm9kjYL33yT5kkX7pPO54nZdRF7/6I3PpdCJ2z6hWA6qoMC4SvfRG4ukIqNpm9JeVm5PtylDS+buoYnD19Ktt2qiIw7grVA4so8qx0r9oIwBJVTP66cstsK3k2kfflS73QO3ZleF1wSxD4xLcqItnar4qePfyqwgxyt3Lfek1VzbKQWNWVnqvRx7Yn5EcKb7xPVyKIxPHP7WkgJElYFgt6EYskQDw0bPlKCeb1aUrOKwaq0YIzi8mjB8F7XpXswMprh7Hg1srYD0xFNFaO7UHTJwaMcXysmgm/BVaVVhZ1amVBbP1PZd+jXH6GZLJOZJJaPf92AaM5bDer5m+SH5fYNmxfyUxWFlHOLHWbNrchLmjTMnk63GfT8/fliLQ5Mzb+hKWd88QvkNmULdqB4ogm7C5y5+6+MN1GuaR/p6hjJ55+YTUmbAQUagm5G+ZevnS+U2wTeN2W8n5lqzvN1+bnd90fNlRZZR4+bnJHdJbtfPav5uzmduyKdu8atkETvGH7u2fidlbxxYd3/VW1kcqD0iNY5uDsRErL8bLBQVKjJnoBN8fT1gKQP/PJgY4a9nx6bz0gqhUNEsnmAuRvX2jeBbqU4WaU0HK5sJwzcafSKfqU2BPsF14b8Q5UPBmk1EALZCufJpiwyumcA8PZapTZdi0kk3BsDogeYYhVKH9JlvpYzZbw/5D+ntkl5ZjFOeYTOiryxGXR58FEF60tM54XPuyN6f6ai42gzLRvg3NiNYH6Ov7RNKqRNHL0kFEAImhUuRag84iJcRpYUgDb/jhiRO5Q7u/VrWrYSJ8tzwu2g/FJtTK30aad1w6WMXBqUsBu6vftAgbGUx+EgjdCmY078+fUVYRpwyZy2pzZEgFvy5P9GkmOynuHWCAKyhENJBWQz8EHRFEXwMWu0XgfwS+vJSOOlGwnYRQNWMjnz1vbyWDT94mHeYnEWgZftiUjGAvj5UWPgpKlAkg+wPCKL21R5z36LKEg3rgW/7jOi/Ua65yD+QKwqvGiVZXOAZXEmBBwjUeoJ1Q/kqeejEke/o0P4Lsr+XSQjdmh55hSP7KF6s1E+5KsqZT7uW7VWhKP2AOyjIfnD5sVL4kIxXcqItnaq7UnhBPlYBnnLnT5KVhesU+O80JPH8S7wXlP/xpCBPSe6/8Gzj6iOGnwV6CEOUsZ+slUmCGbI4iaE6RArEG96V8Tnk6fZKTTne50zZ7hd7Rd1e+P2Pv+gvE9ez14R7GryPNXISWzfqpvzMYv+5ee1ZUu4orCrszHgrKAJb691aqP0YDgdwoKEnt+dJGALs2KTJG2Y3Is3qoZ7DcvenH4zdLyGNqkOBohmDZWX6/uqv4rRV3Ma0Q3CDg3kdpOYj33zOHL0mrXgx3kqVf8z3teO/1YHu7qRgurjJ5kVi3a9Su4DUgSgfzxWqWjNWwCEb3CWC1G3tkCsS5lwbcjkuJLS9vuh4sSLLqHGzfsUR6dIl1sjV+cwF+dQNfqGTUy7HipTIYrmJlHu5TFkeoLRWbN8iNI7iVmEMZQU257AK6PZ/NSw1TN2kjdDCz3bThBHr5bd2rgB17lVNbppwzQfXCvR0+x2p5TtsCvbuPOP1Dn5lsGBgAfzmnBZcQ58Ak8GqxQe8vlE/yiTkkHVGvv36fG6YBg+V9Z1RAuTftt5UKpe9Pw3ru8koiTPPxCAHRqgrMEKU4nigd1+eJzfypStm97sSEAr/enyHf6D5iwvlu1DSwC0FlAnrVh6S/5cLtZgszEhZH8NPFQTFrNkfpIczmV9DN8snWs+hpHi8ZDZ5MDN9/E5DNmZO2C8VJL6n5yqxm+1hyNAN8PDkoas0tN8KWdNuvatT7cbWLA1NIRJ9uWQ5TZCejsAOJhv9GeP2yTaHgF6xmvUDkFc7LZbz3+tdlpiyYuUFbp7gRgXo3d4L6PBezQemWR5w2YN0oDpCiI9klPqylXPJNWSlCMAG39NGNGG4ti7iyuKNQhFbFwWgqYRBeOeXNItyWCLCtRVIxVnAv6d+anzIeurINWnpC6pSV7vRI38Igv8zrLVYc7u8LBRBIRqe41v9RtFsLlWyE9LjpgrmZysUjuxjp37KB610y2RAi+ceknJYJAk3dGoItx+gSSM2SPddVimSfdWMt3Db0ixfq89x8KYCMOr9addpVETK4Fgn5k4xlqfVOoJ0Nesl++KuWb+wHEOQmcZ/Yix3mPE56J3FHvkxmCFLuBjeIs7ybhG36UA4NLdDWHswrn0Pr5DXIyKYILCB1eSOzWcMsx/z8Zqw3XcYZhzmw3CxDbP4kD5X6+ukkRto7rTt8pvKwp+0KyT2Y+1fqCyzxoEGfGwrcnueHPPJeinDQ+6oVtf8Jq9RvVU7wvDloDioNCNVh6MHNAte33QKX9/n+K0ORk6fuEwnD9u7vYt5vYC4BQpavmCf9NXvS8NFsEnUw2x9dVouxYEuxi8IB8jw3epLap7EcxggFSphRVOl5abmS+hkPptg7RA0nLnWty6R/B3O+gI+rcpqdRoVlG7CoNwf+qEmn0eyvqGU5eZ85oZ8aoffQLo16OSgm0N8gHxFrceJSpVKM865cP5HQwM5zCkYY0YUiXFkTdo34jIKzwDa+KQNbYOni1v2k1yo2ANy8sQChqAPMP+uXNOapQyqrZQEWABwzUdPsHJQ1sAIfLFh+TnPa1gEYcHAd693n+2lXFg6+zg1qTaKVDREXwf696e/mdp20a6TwV9TixoTadNKISgmKVYunf2LECV20WfahtKoeebP/MqT/5wpOwhXt9wiXIeFQgR1le5DTBRAbpVvNV8sdtgk3HFnaqpRvxB9feKPgH9G2CGIomq/2ZO3O4ovAtmBVMR3KJADEayPIQQgajD6ejAFc6C8ovUOhw4QNCcK9y+I4qynySP2SD9d2Ny176kJw758utkevmWlpN8IygelKv5gNaUnuJnBmEZ/ylsoQ8AxgjGE6Nx6CpR3m25l5PyMMdS1xSy6cjHZ5OM/MVX1f32N8PO0QrZ5zzfqWHY9g7qogDDrvjhEuzZ950iz4TovbiRg493p6fHU9+WVfrdA4GYAfTix/iiZDu5uXnzDuN86wpRBJmoNQfshUKHeIhqWQL2fWyitTNG29Zrn8cshUNv5Jbb4AAH/0N+aVR4XcSuKSK6LgAWBG2s00JRUcG0F7EE4AMd8h/W9W/PZMiiSIliGPdf4UymUon0QL0AR3Igo/2cJNfJYDs6KjaIKkORniZRUSKGSWqAc/CyTEDjmg4cx3T/CkX3s1E8pX3A4gnGH8QdSctJAIZthHICu/iKsyyJEmCtwII05AHPBkHc3es0V+3dcoRcT51GPVnMNOYp0XzViIpy2NMov2LNe7acRfK0qgl9OyLovtdcCxABPfTwRHGY8112bW3G4qccYY+3dl76Q6wgIh336eCtQoiJoFmj80HVyHKJN9GXj+zrFh3u1GwxZMG4hP7ZoX96T3uwf4WIIlzWlKmiHtZNHb/CyHNXza1a+et6hZyWpjMC6uHbJGU9y7GNwYA9675X5XvmjLbD/wE1NrMWxRuFiG4n6KIUeXEThRk++Qo/aUjSEymuphEfkmoN5BzKcIifmSbi8w5jQ33zdsvob2UfmTdshi8LeFfKHFVLtiG8+eX9p8l5aTNsIWqqock3NT7jvOMChOMbvzPHJe4ffZPyGZFK3PrAWvNZ1Fh3cE/jA3+tj3Y/WnSrItRv4dmg6lhbNPCpl45ULTkocVEA+o72KG3Ip5kDlghCWxEauJtTNIVQDrtUCGSCZ1Vs/Xw55f7mUIY99lWyMgLrBOK1uqRF+MrHdudaMl0g9D2d9sSPLpBHG6y+/U08zwBPjCf0J40vRj2IoQH7GmhTqLUensXJzPnNDPrXDL3RrkDsgQ0oS8xB0cGp8Y/z3fL22LWiLlU7n0U326T7Pc+gEuXX66C+pdf0RIvih8GMmyHcOi8Q4isu7pgPe0k7wAdokYSGMPzMydBAuZJsK1fMJy4N18rOiQgkHf692CNd8Nq46YhjApn3PqtR97wS5eLwqFiE9L9gUHhAWAWdOXqbnnhrjVTTcOLw9qDH1fWWB8Ff7jeyM5aolX7N5MjE/Xbzwk1wA8f0rnWZ6fQ8F+EOPpqVvvzFe9O64I9ldw+13pBITkLvdoOOLlWmbiL4OBdCoAVuoY2/NEs8O3q5+I/RS8OUE+l0EWXvrBePNmp4HXDsYOr2xF1u5hG8qBDTAwIYAgqtxTpEKZAeLD5wcFy2lCfOm+SddVYBACgqmYDbNJ4ovsJF7e9BT1LvzdKkoV8pyxRI2K2+J94/lNXbN4WZ7RBGWqBUNBdb2DZoPdhyuPNfYe/4yYsxwHjZKKJ4h6OeQyYn0Qtup8ppc/fID/FLeJuYt9ImSCdavmsPCHhszzK0gdQ3IrxAbDxCkIKO4TgSLoaViLsGfGcGq65UPq5q9dvW5fg2BwsWXoLD/cMTTvo9T9O9Ir4sAE1bG24SCCYfXowauoV7vV5aKKzXfYROOjacvQUb4eLx3+wx5f420pgThhpLZLSW8b/B0MXrp3Ure2Yq1AhvGf/75x9ASSSWGVcY35360dciOPOzKPnbqBwU3Anwh8J3v2oF1A0F6r/91XRxmr6LFc76kqvWCrKfeiIX1q//YhtS7/UJpMfLZpG3yz5cgR0DhABc1eopGX/XlDb/ttqVRXsGeQdbt8swEw2Q4eOs3oqHfO/08Z4Yx/Hwb+e7t3qe8kLFulwpjjMPOzcf75Y8HWzcclwG0YSk+ZsgamQbyoxmvKpPZq3tI3+XhYti+ZznpfxRjHwcg+ANBPpyxvHvAOACKFygj2nZNoA9e/Vy4j1stDoPakXJzhAP7w1+dl/KsPn98i3lo4NiWcq9iJcCgKtft/4eLrdv8QemEg7cVCzWrzOLlHbqpFYBxteZ8sWA/VRNxe3Bw6dQ8iTzxZ0RtuyUQxqMdUu2IPoi9tCIccE5Y2FIqOXG4DRcyUMr69lPIi+8NbUo7RewgBGKH397efat48oF1cGLnCvRhn0WyH3doMkYEuLcWwA2Z6ddu7Pv7vb7Qq7pYcxB81Wiv4pZciv4FF5awiDUjyKLL5u8VBg/2b5RhvrzzrttootDHYE0zs4RcIG52P9tDO4xT/Fida83qEenndtcXO7IM6ob9zntDGtObL8yRup+XO/jL7ki3Q8TlwriONLk6n7kgn1rlF+MXMhkM8PDnS1AWI+Cm/vDZN03A30I3iZuBvTtNF3HOTlKz6kO8ksMNbkNhJNunxyzasu4YnTpSnrLl1mI1IKHb48jaUV/AmkbmJU7sYP0ULuUvnDyYKlTTTiZt5SkaWLldQAAbvSVevsfT0oL1PWXwGN+IqOhQn63qQrWF9S0WM3TEoqWzismgCY1f2IIKlrifhk5pLYSJHDRywCo/a6uur5aj6cu6SD/K+B6UMev91PWVGjRndScqLUzizQjCLRYIfPeisNBTPt/M0of7XAmjyAeR23GdPRbp4rm/ZTCocAl4TljQUVpsQGiHexKnCAcbKriC3l9foPyVkjgkBXOgjKL4DpbqS7f1pGeeK+sZS5icsdlbtPkFSqjlf9VKsetme0QRkqgVvW/3WdfLhv8mzINvDmhEBYVPOmXBlD13OjnHrf6qp9chmiWGhOAxem5zj981dR3RUh4BEkP5sO7gC9T7/Sfk1ST0U0Xg/7kelWnF7l5RUxYrXrCGYJ7SryFQFPd6+wmavDTR9XUhAIRReRXpdRGVhLUV/JyClojDBeW2CfMd+jj6OtZ1kJIRoKDB2ND7p8QhDjbC4RI2jGaWSCpvBA6GRZrdQ/agsk/R++nOu7VrtMM+WCFln3DqhwBfbw18SlpugCCLQSbDugEL7eYditCLb9ams6cuSwudiJGYh/qNqUcjprf1GoOYLxKq5xGBflvR/E0d/ZTF4C8afdUIl6BtGUSONcrT7Bnw0I8HyK9wX4TxgDgTN2tdxu9zzHNz1/WkJxo/7pmLgTF+4zk2WWbU9vnitHhbLy8ZHuMwd4FHPPM42gI0etBqaflvlYJiaDAe9GXggHXy4kThB7+oZy+APl5Q+GS+ycIOD9bZZSvlkgqz0YM2eooAf/M3dPSSvTCWsDZjHspTQJufrNY7EumDYutg/7Rbn+y5tUNv9KuqtcLYi4bIgH7NkTfFki5WhDtPFiyWkcbMec5rnKEfPtFEG2cYS3YJ7Tgtab+rZEGsi9lyic2Wzh6n/7iG9PxrtTx7BKSBvLV6X0+5R8CBbIsO5YQl/RHCTSk91XwqB01d0oVqCXdBepnNKs9mexXMN1hzajYy2Zu7JJfi9nT1JwoFdB+FAwPwZ6TItlJ/BL3GnNromWJetw5UP8Ahma+yWOVvZa61wpPbaa2uL+HIMqgLjAfRn9GvlWyI5/q9RaA1zW083JzP3JBPrfBbv1lRmr32Oblvgm5OzUV5Cz4i901LdnYJO+AmDgUwD6n8IedgjwY5se/IulS8wkNC5mkl4p+lo4/fWerXnG6Oo5v+E6Qv8epVYbl4t7Glnh9ncfwAit3GVQZLpd6Uxe29Nl9xXC1mPYYQwDWof/4VrjhmNoshrm5cVlJae0CR0rLOOLnBU9ZKTrcuykhsMIEGj2/pF1wr3LLczBubgZeenSau4/nfAFB8D+izVlijHE9x83+89wuszS+1nyrapQ3hyrWTBIXgiI9WGlvYOlkQ52UbATV24d4FFvtMNy4CSk4HAm6tcbGOLo+HWG+h8PhT7QuFazzuFdSaGkjWCg+hG+vrlCCXwm0orCPhNmv0nBvrptqN1Vv9axtv81m88euPeOSeWDh/jhxTkSjph+81K9fSFXOwsjgSgN9gZfwm3DfBcfmNFDQqlpuY28Ne63z/3d90222p6cFHnHdb42beodT21PFvKaFGXp7/QwHLJ42bbXf29GXKlPUBx5XFNqrJn0QBARVlWll+RIEFLpIRiBkEeDzETFO4wojySVmhqvvWxa5UgDN1FIGUIJeeP6f5e1cxERwFiDOLaQTibT6LN36j2fg3rMJ44oh1EvdyVawHu4tmg3HZ8YHA6I/XiysDDxoGjYqPGqQsLrk97LXniIErqXzV3LYCYQQr0c28g5WN4EQIcgX/j0zWEXCr7RAcccKw9eIKpQjQwnRDIpAtp7hmLGiH8OGmgmV+K9xFMTECNyICPB5SbqvDkGH25K3yanNFce2Y6cZGIKXIpZmzPij79H7hvk6t3Z4gYTd2E6fo2sfbfBZv/Ea78zhvNhbtGgUpH1ElcSUVDsMRVRlRY5kYAScRGP/JTjp55BINmdjUyWw5L5sIcHvYAw7XyrLnfIhady1qL4MAX7mZd4Bi5avl807QHBFlGD4x4f+RyRoCbrbdV3u+pXpNilKlOlmsMcWpUwwCkMkgmyF4UZVC/WW9+GprimlerohFBHg8WAQsHpL/Q7Ro9lEaP2ytDCaIwJwIgMh04yKQkuRS9GX4e0Ww2ScrD5aNyu4/U3Dfjrf5LN74jZGuc8MojPW+0IA9gmUYRVWOkXZhNuIYgZtuuomGTRfKYhHEgCn6CNwI7QF/7Iqc8vWIQCNuKIvBpxt5K19UwXrcLz/9TiNntCUE1kvpFG/9AgFjxNbC0WZRPhYdzZQzcxUBBC8a+eFmWjx3L/3xx190/4Np6PsL/wYM3OMqQ5w5IxBFBHg8RBF8h4v2lVMQgBwB55hubARSmlyKPp0h0/00fdwm+vHKb5Qh83106fw1ypb3rhu7oVNY7eNtPos3fmOpu9wwCmOArkVVzkFtulSkHPnTxFI7MC8pCIE23YuloNrEf1W4PeK/DZ2sQZO27O7ASTw5L0bADQQ6vVKW8MfECDACJMcCj4eU0RPuufdOqiBcfSWKvehDGW6obXjKaEAXapES5dLGbfIT/phSNgLxNp/FG7+x0ntu+k+QnpmrV6/S3XffHSv8MR+MACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAhFC4IYNehchfLkYRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAE4gYBVhjHTVMxo4wAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACLiLACuM3cWXc2cEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRiBuEGCFcdw0FTPKCDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAoyAuwiwwthdfDl3RoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAE4gYBVhjHTVMxo4wAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACLiLACuM3cWXc2cEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRiBuEGCFcdw0FTPKCDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAoyAuwiwwthdfDl3RoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAE4gYBVhjHTVMxo4wAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACLiLACuM3cWXc2cEGByaKOkAACAASURBVAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRiBuEGCFcdw0FTPKCDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAoyAuwiwwthdfDl3RoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAE4gYBVhjHTVMxo4wAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACLiLACuM3cWXc2cEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRiBuEGCFcdw0FTPKCDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAoyAuwiwwthdfDl3RoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAE4gYBVhjHTVMxo4wAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACLiLACuM3cWXc2cEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRiBuEGCFcdw0FTPKCDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAoyAuwiwwthdfDl3RoARYAQYAUbAEgJnjl6jhDyDqE7x4XTl0r+WvuXEjAAjwAg4jsA/RK1qT5Tz0q6N3zqePWfICDACjAAjED4CQ9/fROWy96ch724MPzPOgRFgBBgBgQArjLkbMAKMACPACDACMYTAojlf0vW//6Fnn69E96fnZTqGmoZZYQRuSASWzD1Gp45dpjqNClOx8g/dkBhwpRkBRoARiGUEYGCwfME+ypDpPurwQvlYZpV5YwQYgThCIC53otvWXZCnZ80qj6O/f/dH++LZv+V7/OHf8U7TP90r69Kt+ex4rwrzzwgwAoxAzCEQS3Ps9xf+pSVz91CxMtmoYYu8MYcVM8QI2EFgQJ+1Uo7B/5lCQ0DJurEg+y2Zt4fuufdOatstITTmORUjwAj4IfDx2+vlPDh20A6/d/wg+gjEu/5gsTA2+PnH36hlx/J0212RxTOYHJ0SZYBgdY5sC3BpsYpAStBbxqXCOFY7BPMVGQRwzSaer9vEO/+RaeXYLWXp7OPUsNwoz6GUOpxKrDuJ3u+1Miau6+LKMK4O4wrx9T9iF0vmzB+BRXP20B+/X6dur9Twf3mDPeG58gZr8BirLvc/rUHWLTtH+3d9zTcegvTPH78jeqvHsiCpYv81lGZwh4S/lGB0EyuI/yvsl3ZtOSXZ2bfrbKywxXykEAR++4Vo4We7qWylXFSnSc4UUiuuRjwhEO29568/EMEli36P3r7RNJo/5WA8wRiTvLqmMP7tZ6KJQ3fRlYv/xWTFman4ReD44UuS+e2bThAEsHijeOc/3vB2mt+ffrxGly/96pftiSPf0bL5e6lHm8lSWTthyC6/NJF6cOzwRenSAFeI9+4Su1imuEAAAv9ioTBulliKHst7d1zw7CaTPFe6iS7nHQyBYP0PyrSxg3fGpRwSrO7698vm7eUbD0EAO37gV2rbaBRd+e5qkJSx//rs6cvSShF/G9cciX2G44TDm1MTPdWyJN39v9uofrOiccI1sxkvCKxafJiuXf2DOvWqGi8sM58pDIFo7j3nTz1ET5QdRLMmbPXaox/af4EGvr2UqhT4OCYMuuK1yVO5wTjcRLRtOI7On/uBatQrJIoQqyQTI+AQAvWaPE7Hj1yUghcEsHijeOc/3vB2i18I/T371Ka8BTLQP//+S4f2fUPrvjhIOzafksracUPWEpTLPd+s6BYLpvkmVM9L82fspBy5H6Zi5dKZpuMXsYXAnf8jmruhfWwxFUVueK6MIvhcNAXqf1AWN64yWPqKbN2heFzKIqE2cb8x9UJNekOmw7XkTz9eI9f9DJnuj3sMSpR+hEqWe4x+/OE3atisQNzXJ5YqADdT7Goqllok5fBSr3kewh8TIxAtBKrVyU9L5+6lTNkeiOje889rRFPHbJZr8MMZ01LztmWoSMms9M/1f2n9ysM0bewm+lPc3HzzhTk0eVEnjg1jo4O4ojC2wQd/wgiEjEC1Bo9RtQbdQ04fawnjnf9YwzNa/KRNexdVrpmdUt+hcZAlZw6q3TgH/XedqGfbufLq4eczd1PN+oUoT+G0EWXzkSy30uy1z0W0TC6MEXAaAZ4rnUaU87OCAPc/K2jdeGlPHblGbzw/m86cvJyiKn/zbUQDJzZKUXXiyjACjAAjwAi4i8CDj6aiqV8kuluIQe7w1z1u7nNyz926q/ftjcfyFqeK1fJQuyc/lbdm4OfbN41BlvzIBwHXXFIw0owAI8AI3IgI3CSO4V7/sKG8dojTzs3rjt9wMLC/qBuuybnCjAAjwAjcMAgM67uJWtUdIZXFt92RitLck3RyfMMgwBVlBBgBRoARYARiA4G0D5CpIhgu/vIWekQyevlb4fuPyTICjlsYI5rzlzvOeBjBlT09zV7dgx7OnJoWTj9MH72xmIqWzkqfTHnKlHG4t2hZR3NvMXxaGypUUvSIMGn7ukvUu9N0mUu/kc2pZEJ6vxzXLT0rr3Tv23VOKn2y505HNRsUoWbPFvRLG+oDX2wCfVesTDYaPPnJQEkM3+3b9j2NH77Ow3fGrPdThaq5qW3XMkEjpp46dI1mTNhCu7aelP5fEBG7TMUc1EyY9gfypzl7wgGaN30HfX36CqVKfQvlLfgI1WtclGo+lcOPR9WeZavkom6vlZPv9d+jzLpPFqZOL5cl8jnOQITVBTOS/cJ2frkaNW9f2K8M9cAKX6aZ+LxQ11DxeOaK7sJf1J80ov8KiTcoUN3d5l/1L4XLueO/0bB+K6SLhFtS3URtOifQD5ev0meTt8mgCGbXTM8cvUYbVh+lVp0fN4QFgV2erjlEvpu6uCs98IjWUNvXX6Lp4tqHwqJQsUyiLYsIa/DHPPk4MQZQr1GD1ggf1sflFZMH06ehUhVyUGLnivRQBsenNEMMgj0EJnAHgbnwpyv+Pg0/n3aElszdTfCtFGzMBCtL/94I3wFjn6FSCdpCaZSX3XGi/w4b5pLlclC7bgm0feNxMSZW0aULP1On3mX8ikRQgokjN9GaZQc880yR4pmptWi/HPnT+KUP9YEaXw2eLkYvvVvJ8DNEqn3p2WnyGvmUJe081uGGiXUPEdl87pQdlC3ngzRmTiLddqf/F1bXDPC7f/dZcT0qkegWEQRHN3cj9xJls1HX3tUpUw6DwnTFhzJvq3r7c238ZPDE1obXyaz0FTfn+lDaUS87BBsDRiiouf7ld+rKa57Ib/B7a2j5wn1y3sFc37hVKa/5bebY/fT5rF1yLcS81LxdOWrcJr9R9kT/Es2fdlD6Pcc8AAq2XhthCh+686ftkJYT+L5R8xJeZS6fc1yuzyjDbH2NpjymwOnVbj5tXX+CSlfMTv3HNfTCDDExZk/ZTcs/3yexBQWTydxaq/X9CnzA9VqlAv09/JrNLQgGM2/6Ts+6hbawMu8heOkXC4/ZCmYElwkjPlpJRUpkoaHTG8u+N/KjzbRYXB1FvzGSB6zM0wgyA7+BRvkoYOzIFXbmyO8v/Est6g6TgUNnLO8m9xtmpNaMpm1Ke+RRs7S+z//4XQugUaNBQerzUQ0h+2gY+6Zz67cas1iT1BriWxZ84o8ZvIGef6OC7yvttwgx06beFIKvbuyv0qW/R7pZUWTWl9X7PVsu06SR6732G7hR1axNUdf2G8YVIRmcD7y7Nl8nFWxlnfeV+c14x/PMjz1AUxa38XNtY1XexVifPGqDRzY/uv8X+uT9pULW+FoebEBO6/hCZY9c8e356zRx+HrasOqInAsKFs1IHXpWpUKlkvfabo8pp+eP14TBxvuvzA97Dvj9979o+/orNGnEOi/82nQxl1WtzrXhrguhyH+B+p3Zu3D5MstXPf/pe6IZY5PXIMgu9ZsWC0nHcv7Un6JN1tOW9cdln3ViD2i0dzKrg139jNWxrC8f4/SzSdtoy7pjUgZSY7lR8+JUrPxDZqx66VdC2WvaWXNRuO8ewyNrmHBmZS9hkoXlx7fcLDZaDtDJQ1dp5vgtnv6HtihcNDM1SSxjqE+0WqSdeUeVYUVus8pX1LQr5avmoREDVkpBA4JkllzCntyAdm+/IAVyCEWFioWvLMZE806vuVIJ3PP1Wn6Ni0nshbZT6dihi17cIKDVsA+/oCmjN1LfYU0dUVwbVFc+wqBu8ZymTDVL4/v83z+JenWYJzYjJ71eYWKZJvy6zJq4jZ5/tQY1bJnP91My+xYT8bIF++Rf0dLZhGLfW4G9f8cV4Q9mtpdzceAKwQR/owenoU8mJArB5Ha/Mtd9cYjqCGXiSKFsxSZREcqcNnYLrVj8FY2Y1i6gsO+XadKDcPgyy9PoeZ/nP5OCtp5U3SeOuI8+mdzalgIzbP7/+4/UoQjaQ6NbqFzlnELB/ZdUGO/bfYYgBCplr74Oi8R1jZ2bT1CrDkJhbDC/blx1mK7+8ieVFwcR6nulUNPns3vracLfmuW56YNRTxhBaPrMbAx8+MoqeZ1ETzjcWPTZHvnXpHUp6t6nvGm+0X6BwDgvd5xmOmbC6TdW62a3n0Fweb7VJDkvK4ICbYPwE4U/UOHimahDD39lMRRqowaukvOvIoz5dSsOy7/q9QrQG4NqWq2Kq+nnTjwglcVQ8PQd9rSfsjicNQNBCVctPi2E3mv08XvLvOqxRVim47DnhT61DP3S2Z23g4EFpY+v32u7fQVluTnXB6uLE++hIE73yD30bq/5cnOiCArYt1+aRysWZaenhWL43Zfneo1rzEufvL9MKoTHzm3hpQjA4VrvjtO9xgHy1a/XZofZCtPSFXPSkL5LZWBLRfgeZS6avUsoTurToHeWeMkyZutrtOQxxTfWD8gBkPPeG+qtLMbGAnXyJb1MNnrWs5Qhm7hHb0JurdUmxXk9hqI3sf5EP7cF+nnvyZYlAvq6P/TVeRHMZRjlyvewLYWxnqELZ/6iVzpP9+o3eQs96sWz1Xm6cs18UmHstFwBpqzOkZBJipTIShuFAmzFov2mFkdQ/O8S8ysIRhVW6a67bqWBY1v67SGs5mM3vRqzwGffru8N9yQIgrVswV565tlyhrLevh3fSxk2R570VKjEA3TxXGhRpM3WHsw/YwavoQlCAen0fiNUnNyYr1F2OOt8KLwbxWSxK+9CPp8/cxel+d/tct+qSC+ndX2lBqVOdTMNFUYlenkMe5guLSaINa0Mdfk/YbgjyO0x5fT8Ub56RioyL/w5oHPzcXKvY4RfKLJqoLk23HXBbAwG27cH64vh8hUsf7z/Qhz8Yh+n73eYO0LRsRjtNfV7wLbCaKXt88VDYcNWGrO9abDM7I5l5Gv0rX4sQ9k+8fO2XnuTcGR2q2tusLrr34fDl5VyfNP+KUT3Sxd/ko8zZLYfZ+DFtvNp+4ZknRXyQ1tA94Y/I4MHX16C/bY771iV24Lx4fvecYUxrBeuXPyPOjYfSxe//okmLOhoaDV2r4jDVL5KHrmZWrXsED2by3iAbxKWjqDSwoLQSHnlW6FAv9FhXu06Q276IKA/meht+YOJsnuriVJAxYnV86/WooTamWWW+7Z/T/2FRTSun73adRaNndPesjJTWnaYECwBXnpuplS0Bjsx8stCWAl0aj6dDoqgW758nzv+B40buoZWLz0oo0Teeltqrw0H6ty2kVZnnJK065pADZ4uQgi+REKns2TuMeFIfJOwlNIEB1X2wT0/Uc92k+VAQXCMbv9Xw6P037L6G2nNAqw6iQXXyMH4t8L6EIPigQf/5yV0I8rlsH5fyI33+GHr6LX+1TzVhdUg/vq+vJKWiqjdRhQuX0Z5mj07d+Z7ev61WsLKTPQjoViFhcNsoYyFFRGUab3aT6Xx8xIpVZK+PFL8L5y1h3799Q9q2rokdXixrFRUQEEhD2X+u0tuDrBJ2LLuqL8iSrQ5lMUYA+tWnKOEWpn8qr95reZioUxCTvkOYwMKNdAzz5YRlqJlZf/BQdDIAavFQY82hvA+nDHw1vPLadWSr+TJascXqnlwh+J7+rjNEnecwN566y3U0cCyVTIYIcJm9PIl7dpL+kc0/8XoHz3aTJbzT5bHHqRewnJR3ZiA1confZcZ9hsrLCt89XOw0fe2x4noH//XeabkE3NNz9drU4Wamehfsc8cPXCzPOwBlRNzO/wg6kmO7aTNC6yyOok2xEYEc9/k0VvFie1WWrHwK0p7710xo/THwQs2VBAS3+j/pJ9Syok1o1+fz8UNgJups4hs3axtETleD+/9id7vvUDOoZNGbaSqdfNoc3ISoFbnbViYbzrRy6gryGfL552g916eL5XiPcRBqp5s95WkTNya600r4/CL/bu+llbp6LM9xKFrmvu0uW3oB19IARGKTvxhTPed00z6K0efnjRCGw84fJ4y2tuvWsly6SlnnocoowgM0rxtWc8NHsyZKl8cbButnageMO2ROEmuvTjEgLIU8+DIQSvpiwX75fzdsdlYOUZxwI0xivV81sT9Yk5e5be+RkMeU80U7ECmcq28Yn7fRFVq56cnnynpkbv0MtkbPWbT+PktTGVEJ9dq+KyfuaYd4fCvTYNRMsDKqOnP0v0P32TY87D+47D29jtTi1swFcS/M0o+9fMe1s+cecyVwZCzqtUpQK98WNWwjFAfnjr+nTCImEIPPHS3vCGFfgMLxAyZIfBpZGeezvf4vY7LFfo6WZ0jawgrVyiMt6w9aqowVsYoSlkaKoYqXadXvGViq9+Hmx5jVinGYR1aqKS/kQlkNSi8lswz9tmI70C4zUKi+8IaG+uE6ttGPGKtf7axZlQTqf2GER9mz9yYr+2u80rmN+P1rR7LxIHxAWmZ7xsIL1x5FxaYkJVffKuOJ28lZ2J/pZfF9OvagLcW096d58ReZjvVaVTYs69zc0y5MX84we8dd95K3f+vloxNAoKyCwciuDkIWRW3GPqOrGvYvMHm2nDWBavynyGDJg/D4cskS7/Hv//2t1jP81GnF6tS+sy3Em6tLpv/JY0Te37sj55PnEzDprSh/MXu9fp2yLsb5V4T8niztqWFUVNpKRfrZZ/xQ9fRvfff5Tee/JjweRDO3jRY3uGM5d7PLaTNYh1DnaEbgi5GGWpB1wI9SS2x3ulvPYYrs6M+VtdctcdYu+QM9RF+/Y3ICb6M8g3l2db156ROEjiWKp986zmUb/VpcLh17vT3lNipotiX5dRwF7L17MkHxM3nlXIvMKrflrB0EHbmHTtym9W6u+LD+H9pb6JbbtKyvjuNv3WpYrJKHc3adcOKg3Iz40t6C4Dq9Qr5vrb8+43nF8qNFE4Aer5Z0e/7sZ9ske+xaR46uY1HWYyEUOyMm58oLWAwoWGQOknL5h2QymLk37lXeUtZj/poi1QW49uZKzp68Q3r3reH1KYuL1eXec6aKBQ6Oqz1dR43twM175CkLEZisamp0yQnzVjZ1tuKQnw/UAgV2MRA8Y7gGHoL8TJVHpVOz3FtA1hNH6cpkXwrVaVWfplO7xIEQtPz/6dZGO7ddYag5PelW28zOedwiC/f8sx+T5jXQbv6m2SFC2Eb1q0jZ7SV/mvRl6aN3e33udv8Q5nXVlyZwoYGyidQyYpJblfEpqBsFc2aZqvPKRnSQUkMvkHLDJTyWJhhRXR/urtFwLdcMt3Bfefl//MJKyWUKQ8bBKFPwO1FqG5cAo2BJZ8dk8pijM1Jn3f2wh2LJ3B/b4h2ILNAXAkHn9GkOVP2eSxwcTUHNFQoSzEeME4xl+jd6+BgCnMO6mfWb6zURz8H+30XxjhZNPuotFhE//54fCtNESUKQD9D22M+AC0QynvM34quXPqXxn6yVv5Emj4DaniEHvSXjr3ElWDhfgEExT8UZ9EmKPjVbRTwZuS6yIk14+EMacXV6e5y7lXjFUrHwRNaSZyhHPxyhzbGFCa25m0TQDHHwpUM6NnnK3kfhIbRV/TFOT7Xm9TFrcfdX6sp+yyUxSDMbVj3chfQXL2oMa2CW6JPYzzUb6oF34DiyovEmvHpvGdknnp3TyrffIUzyLlipVAmmFGjZ7S1V1nWYh5EflWFYhGk5BipLAaJMpu2K0gdxSYNtEMcDF7TDC7k70jLYygT114DHcggzf3pb6b5mzpS11fLefVNzJ8jZyTSQ8L6G3PSto0XZD2MyPG1WhSiZFvIuphvAxEOMMfOf4bKVcvoUWqrea91J81dAKxh9YQ581PheglUsFjGsJXFyAd9KmPW+2jYjKaew69cBf9Hd92jlWx7nnZBrtBjYXWOLJuQSbodglyMgwUjUsYoUh4K3HxGn8fEMyhdQHu2nRbGAN4sYQ3dvkmzhFq99Cv/PZaY22EcAPLdXwXat306aIscb6HsN6aIw069HODkuhWoAZyer51Y5335xWH0ui8OGx7SOiHvYv7Hnk6viIac+eGI5h5WlCzmta6NFXODGDuw/oQxlyJXx5QL84cT/EImV8pi4FCwxP3S6KXjS9oaiht1UJAZUbC5Ft/YWRfwndvjyC5fRjgYPXuiyeNSLwFlMQiHX5B/56zuKecV9L2hHy73+vTArh/l3gAEeRx7BrXXVLKP2n9M/XSTPJB1igLtTYOVEc5YxrdKWfzh8KZyn6uUxSgXuhbIFV7Gjw7J7FbXXIXDHeLmjSE5xJdh3iE8XDRb08XA0M3Mo0EI2UidGALK4/8eJb2QreF6DrGLQJjX9eteKPnq01idd2zLbRYZc0VhHCoPpco/IicHKEhwpcqXlAUAFFGBfOj6fmf0G1YsGHhYRF95v75fEjQuGhnUWliBGF1vROdo262yTLNx9WF5KuYEnTn2G40ZskaefOA0U1mkhpI3JsWVS7RN5Ytv1vW7Lq3yeLpdIQ/WamMF/qFcA3XoWZmy5BQVDIGgVFQCY8/X/RXvKgv4eQJtFlbiRoOnfDXja4Clhd9kYIHToB8uh3ZFDuU4xVcIEMgkqW819o0HpUGdJx+XafwUBQEyd4p/KBt8ref1xVaqnkf+/HLHab8+rFcSY7Phq7hbtfSAtFgpUTY73aUZzoprb1qwl0sXf5bX9uxQsDGwZN4emS36qdHYxDtsxmGpAf7Ap9v0z3//CgsD71KgqH73pS9o+Ecr5IsKIjJrvqL3Sutz+J4CdRaHN0Y+cFEvuNQA4Rq/7wZQvnCAwulnRw9qShm56BrMF41bavzj0OLbi8lX+aD4ggCNjUjXl43nDPRZKEYgLOLmSbRp0DuLJc9oQ6Px5NSaUVD4voLA7EsQDHPnf1Q+PnsqeWDZnbd981e/h7y/Rq7BRlZO4fQVfXlOz/VmdXHrefnKxmtV7vyawhhtaDSmK4lDUdDPP/5uuAaa8Vs+6VDv/FnNX69RujKVNKsn33c582mHg9lypDOcK6sIi12sr1e+u0q//Jy8vkZSHgPPOKgY8sEyOd6bJZYyPJDxrZvvbyg6Sggra9CpY+YCmdNrtS8f4fyuVldT8H/7zc9efeStF+Z63Ik45XsP7d7xxeRbW758hzNPOy1X6HmzOkfCChxxMkDKilafn94YRfHti0U8/C5dIZs8vMeNsYN7fvRiGa7F1JVvzO+Yy/WEfQCeY80NdX9ldb8BOQD7OJDT61ag9nFyvnZqndfz+6c4D/9YuAtC+/gd0oqETsi7mP+NZLRsOf4n5TAQ9lq+dJu4iFhSGFWB9PE33B5TTs8fTvB7yy3GKpIWHYtQyQoaRguE6w8jCjbXGn2jf2a2LkRyHBnxaMaXUVqzZ2a4Qg7G/gh0cO956RdX0fLP98rxAtyN5HGk69BTxLERB8gwsli91OeQ3oyZIM+D7U2DfG5/LIsDwDlTtsvsn2xRgkpV1vYCwcpzSma3uuZGiq9g5Ri9x6EO3EhgTCLOjltUplIWeeMM697334Wuu/Llx2x8mM074chtvmUH+m08Gwb6wsl3Qitfobp2Qu7rlxTFKAuAMkIJFA6pa8XIo0+/BtJixZeOHfrRYxFYRvgGNKNCRTNJqy8opU4G2KCYfW/0fLDwXYn8LLuiEJltWXdKTo5Br9UJrLPn1jaSamO1e9spWS4Eziq1NSWiEX++zzas1E6dg7kJyZ7rAZm31cGT9r5UlP5hzeTl7GnN2tWXB6PfbvNlVKbZM/iXBB09dIkuf3PdLJnXc6f4LyyCzQUibA6wSUDbb1qTvKgqixS8e65HZbk4Y9Ohp63rNaVn2crJY7JMQg55EAMFxOvdZtlSGgcaA3Awj2uGGHfw2xeIcggfj6BAipZA31t5hwONWiX6U7nsyX8NKgyUV8JBOfM+TG8Pqiv/vWvrKYknFpMiJTQlk1FZxYSvcNDpE5fp8oXQ+o1RPoGeOdHP7rzL2F/og+lvk3UEnT+XrOzat+usfFakVJaAgeYKFBYWeIIwbqJJyqcqNlZvDtDa0JefSKwZGTJrG7sLXycrA+zO27784/e2Nd+IIG27Da2c8N6JvmJUrnpmd64PlGcsvXs0o/eVSiPeYGX7aqfFVKXAx3IuaVV7Ii0XcQNAZ0/aPIEzKijpmR5zr2QRksdkmcLa5PVu86XCCjeRQnUhtGbxGXq+5RxKyDNIYtW23lT6ctsZmaV+jHjVK8gPO2t1kCxNX+PgEAGeGpYbJfmvU3w4ffjaApneV05qKK6fvjXQPCC0aSEBXmTN/iA9ludu0xThzNNOyxWmTPq8MJojkaR2w8IyJQ5ffa3NlDGKFWVpqPxEMh0O7XF4D1JzNf6N+qLeUJ68+GZtuVH2vTGm9lcIghYqRWO/ESpvTqQzmq/dWOeH9F0jx7vRIW0syLsPJe2/fDF1c0y5MX+4yW+tBoUkPDCiMDIeCzbX6rG1si44Kf/5tq/vbyt8+X5r9zdcG8BIEPQlbk6AhPIUCmRQkeJZtGcG/4XFMfZdoBNHndlDBNqbGrDg9SicsXzy8FVPjCTVj4OVh/duy+wow2zNDcRfJPgyKh9B4IYJXzq3tAAAIABJREFUt4Ig6NhCPRw1ykv/DIGYJw3bTU9XGy9lOcjvPdvMpF9/1qzIrOiugpWlf28074Qjt1kpO5WVxG6krSqsXaaKQHJ7tp+WQo66YqAsACDoVDSxRA2FH1zzg19TddJ+5tQVw5Oai99oG3IoCB562FgZgvLuTkOUNu1dUtl26vi3fsGBQuFJn2bCkF20a8spW64okM93SX5SYWFQLkd/S8VfEhYtoEcz3euxFg0lA/i/AsFfqfJZGsp3bqeJJb6U4Il+98vPf9CDj5pv0hQuTvF/z33CRCAIYZMAJSysXp9opil/lUVKTeH+5YkmecQJ7Vdy09GuWzmPT2IEqcQmpETZZKU0DmDeHvQU9RaBdOD7rG6p/ppf61drGlo4+LIWbAxc/k5MDIIw5p4oY62P+5YVid9QnuOacZO2muUYyvxW+TN+OK2hJaLi674HtH6CfnP2tPAT/KiB6WmYlXCin/12Ldl6WM/O5Ut/ypsBoAyZkgML/HBZmzMyZgkcbED13cvf/iL9IisXDWFWOeTPEZ0WCh3lk/unn67RxW+Ez2kDa+porRl2521fECBI9X9riXxsZOWE5070Fd9y+beGACxXXuk4w3NQrXBRLoGigZPb8hjq9MP31+itF5d5gt1eOv8TweIOlm1mhEN/uIeBxb+efIMTm30f6LmdtTpQfmbv3uy+VMaS0BPqgzXTiCrXzeJlYWWUxuoz6WoggPuFcOdpJ+UKq3XzTa8UUJBzdmz2jsdgR1nqm3+s/MbhPW7kIEBqp//KyvZFsDsYkjRtU1oGut62AQF5tBtjuI6LvdbW9celItnK/ioa+41o4+z0Og9rt0CHtLEs77o9ppyeP9zkV93+wr7kj99hTeh94zTYXKv6tdV1wSn5L9i4sspXsPysvM+W6yHpTujatb/kZ9eEquKHK1flv7OL2A+B6P4HtT2UE4ftwfamgfjAu3DG8qUL2j4KBjgZsgTXHyheYlVmjxZfg/t+IddCO+5ezdp3VP+tQm+5yes1XLTCrazbZDTvhCu3hcqzv6ltqF86lA7CS8ly2f2uECgLgELCWjIcfyNwUH/t6p/yJBfC0RShnMapmS8pQcj3eaDfSgkdKE2gd/DJM2nkBluuKFS+dqxqgANITUhWrjtCka+CeQWqm/4dykuVKsAuJdSMAqSLVb7Aslo0ArAvr6JGEtfqTxSU/e7Q/vPSj6XeIgUBtm4SR0lVaheQ4xKbD9D6lUfkwQuusamDHVWnYuUforlre8pxBkIwqBa1h9OLifMI0XzNKJQxEOiqsVm+CCLmNmEhH/3Zc8L/bDf5N3t1DxkwZsnOLl7KYvChv9oXKl/XrztvYRxuPytcPLNkHwcNUHj50uIkP1FYnDNk1g7eUCau5Fuhf/7+l/5xvvpBWTjy1QWaNWGrvLKprPBH9l9l+F001gwwYmfeNqrAB68tluPbyMoJ6cPtK0Zl8jMNgfOn/qQuz0yQymIEjur9Xj1avb+XnD/wf+X7ONJ4uS2PoT7w+4hAT7gVhT9gMHrQRtOqQlncu9N0qSxGYMEPRzajTUc1rBZseJFww8UpCmWttlNWr3bzpbIYay7cDqm1Au39zmDN976dfJ38xol52mm5Itz64fAb9MXnmsU+/q03RgG/8U7KVyuMRmCVBlq+cJ/sa088VUT+riWCl+lvjEGBjrnf6v7Kzn7D47IsSQFiZb8RC23j5DoPX5MDghzSxqq8q9rCzTHlxvzhFr9m18at9Fk764JT8l8gPu3wFSg/q+98sYXrLNxgtUL/XA8vjk0oe9Ng/IQzlpUbOsRIuDlE9UmsyuzR4guHc+rGb+eXqlly92rWtrh9qpTFiCEwaWEnKbfjb8jk1vJWvZvkOzackNtC5TfqFsZgtKzwxQf/wjj1V9aOygJAXRcMtUJG6eAgHT5v+r+2Rp7sIviUb2TTzCJauVVSgpDV72R6cSVzUJIPK2wgoHCzQ2nv1zonAmsFivJplLf61uid2TP4hbrn3jvEJg++hqpR8/batT+z9JF6Hqt8of4PpkuKAhcAjEjzjwB92Czs3npaWJoI6/5rf8gNBFxRKGVwnUZFaMb4zXLzAT+u2zcdlzVQPqx8q5NWDCEEucNVjYHvfiEnaiiOEVHbMIJ9iGMgXXoNPyjxpixpF9ClgS9Pbv7GQp4zT9qQ+En/iOamwQo/adJovqGtfBMsbbj9rGqdbCJA2sPSt2bPtpOp5+u1ZeA7WAN/OngrzZy4TbLQsHkJT3AnlHlfurv8LCkD8YrACamFMVw0CBbiA8a2oAcfuo1aPzFOrk0IPoEgB3qK+JqRVLidedsXR9QHijvUtcfrtXxfy9/h9hXDTPmhRGDoB1oAzMLFM9GQiU3pZt2lJvhCfjTJFUk04HJbHkOdcKA0alZLunj+N+rYbKwMZlNZ+Hv2jYoOOWn4R8ulsqt6vQL0xqCaXpDAz3c6k+vTdrALZa22mu/C6YelNTXGWt9hTb2CnSKvPAW067dW83U6vRPztBtyRTj1LJOQS7iyWinjNSC+APqLMkYpWjqrd4DPcAqK4rdot2Jls8n1de0KEVvlh8zy9lgt4ZJDGdskVM8kxxxujMFf+OYkV2RVamkuAUNlP9L7jVD5cjOdk+v8wLeXyoMvs0Na1CNW5V2FsZtjyo35w01+w+l3dtcFJ+S/QHzb5StQnuG+u+/B1NLVnbq9GEp+d/8vjA1EiHvTYHyEM5bVt8HK0L+PVZk9GnzpXVHAACNUH9CB8EYAXdw+xWHsK+/Xo5qNNHdQ6psCRdLRHbffGigLx985IbeFypT7ZnghcAKLRlxzx5UpWP8qCwD4LK1aO38IOZgnQbRc5SC944uVZTlGkU3T3qvdh5SBu34wN23DO6QBPZzhXvOCg7wZ0nejJ3Bc517lg6Q2f/1QkjLt6q9/WA6Spb69dFFcCfU3FjQt9L4HhV8OQT//IO6RxhDFEl9wVwJCH1ZuBoJBFWn+1WZh2thNNGXMJskrlMSKsLlC8D5sPmAVgf9j01GoWODDlTuF++k+A2rQe0ObyokVysVFs/0DEIQ6Bh5+VBtncA9wVfNsEAzKmHsPZQEI16qgXDWjb5J81QK3dMLy0A0Kq5+JywkfjGgmLXBxxejVrrOk/6YKefrLU1codpq1FddgW+T1Yv0e4cYH9G3S3GlWL/Ve4hXiqbpZXnaeo9zh09rIYGG4It/hxSoym/HD1hEEED1Fes1QZdudt9X3WGNH9F8pf5q5olBpw+orXmjxD4UAfNpD1gF1E0Fu9criWEDJTXkM9ZPK4pmJ0jUPXL00TSwj5w3fqOhIu2vrd9LPMaw2ugsXR26QnbXaCh9rlmsxHxo0K+anLLaSTyTSOjFPuyVX2Kk/ZJjyVfJ4BcJVxihWlaV2yo/UN+oQf9m8L2nUQG1ur5tkXSx5EOv2Uy1KSqOAD19bKNxXnJDyHpRpViga+w0r/LmR1ql1fv7UQ0EPacF/rMu7bo8pp+cPt/hV6wYUmVBoWiW760K48l8wPu3yFSxfK+8VtsrQ5jZxKHb33ZoC+Nxp80DAKOP8WU1QT/dwcEMtM55C3Zuafa+ehzOW1bc4CNQHEA9WZqzK7JHmS7migM4Puj8naM1yzaVYQvW8fspiJ/IPJQ+jeccJuS2Usl1XGCsFSCBmYNH4eMmsctMAn8M7Np2Xp+WFimaRFgHhkD5aLiJqt+2aILObMHwdXRc6VkVZc9wrlcngAb69zAjvkAYbmDz57fkXRZAbWNRAKdRdbBhThXEQhiBZyAfX0batT44oasa//rn6Fqd2W9aeCeUTmaZQMe1a+voVRyxFfg+5AJsJY4kvNbHkyvcIIfJrKBRp/rWT99tk30EfwMbKd7zhSiP6FyxTQMURYEXzaBK0Sgm1MlHeQlqAN98ABFbGQM6890oFJXyFrVzyVdByYzFBgSIZJI7wq/XVnu9NWVRBBXPlTS/8F7tzASTcfvZQhlT00ehn6KFHk62mUTdcDZ+woCN1fbWcX/1y59f6wZfCVz2sBg1JPJfvBeV/PHDgRqPv7xJWySAz/8p49+tPgV1j+EYWr1Qni7Sux0Z7wnDva/ORXDP09bU7b6s8EMQjmJWTShtuX9Hz7eS/lfX973/8RX+ZuLy5Js4z8T7W6Pr1/6QMgTktWw77mxq36uWmPAaeEX1b79KoTZdiMlANgtpAqaIn5ZYnU5YHCDdY3CA7a7Wej2BGBupqbIGiGW2zb8cgwE5hTszTbssVVuulAvRuWHWIzh3/jXYJX792lKVWy41kehzi4yAG6xTcKsGdUqGS3gMm+SDopLzebWd/pd9v7NthLscY1T3cdcsoz0g8c2KdxyHt2E/WSnaDHdLGg7zr5phyY/5wg98928/I9syeK33AuCRmfdTuuuD2OLLLl1k9rT7HTRDlygE3pyUJ45HsudPLf+7ekhQIT3vj9V98e+TAN/JZgSL21lsre1MDFrwehTOW1bfIcOXi0Pe9sSqzR5IvvSsK6Pyg+3OC1NjImU/ri07kaTUPo3nHCbktFD7C08aalHCL0HPcklrL+uDe0JxAq9PwhZ/tpgkj1sucy1UxPv1W1wahVD51XAuIZcKK32NcKy5ZIbu0Whn7yRbPe2xgEmpoVnFzpm43tLiF4/XpItAbqHyV3JYCxamCYMk75INlcsNYv1nRkFxRqKsJ5858Tz/5yGi4wlOljnatbMRHK/yiQfsBoHuAb8skaNesRw9cTd+eN7es1udTp1FBqVwH/kM/1NoqUDmRehcrfG1b8w2tXqKdRFnxkRdp/qEcxqZBkZdFStJD5dNSpalc0/gKI9xQGBF80YLS3KNZ2OLfVscArlzUSIpIPGnEBkPfuUZl65/h1kLbelOlNeywvt7O6oN968R7PY5TPzX213nqyDVaMnePLK5K3eSAeU6Ur88j3H4G/F7uMI16vV3H47tp3eEX6KOxDShHfmOraFiuY5OOeXfulAOGVZoxbp98j3Q16xU0TBPoYQahVAIhMKOvNTCeI5L1FBPsA+XbuVc1yRMO+eDXTFGk1gxf3uzO28hn7sQD0sUGLKm7/V8N36z9fofbV/wydOjBIxnvlW0CxceOzWcMcx3z8RrLfu8MM3L4Ifz544AFisZvzvnf0sFcBR+/0SQr8ljYfIoDyPYvaBYgUKrAz6eiVKm0Q7ML5380lG3gCxr92S7ZXatRnmpHyHIH95sf1it/+kcPXDRkc+607YbP8VAdjJw+cdnjn9Y0sQMvnJinnZQrHKgSKXcMuCE16N1lUm4tUiKr3+G4E2WFmgeUEoiqjr89W8TCFC6JMSQP85NI+W3VZ6tfr/DcbH8ViBX92jPw7cWGY9Ls+3DWLbM8I/HciXV+0DuL5SFt6YrZ/W5f+dbBCXnXN0+nf7s5ptyYP+zy+88/xn5w4Vd/7tQdElbs4+2Q3XXB7XFkly9gEEhXocfIDFek6dfnc2kcBD1NvqLJt7iVTILbWcDfiMYNWyu/xWF8xWrZjJIEfGZ1b4rMAtU5nLGMbxNq5JH8zpmyneAOwZR03TRWZfZI8aV3RQFjH19XgqYYhvBCjY3Txy8bpl4895DHA4FvAit6S7PxYTbvOCG3+fJr9NsVhTEi25eqoAUimTx6g5fVyP4dxtcJfE/IYcFbuaaxwvixXHfL03TQmz1m08E9WjRJowoaPZPOr8WGDf42Tx666knSvmc5mS+UFu0aTqQtq7WTKiTYsPwctagzSgqbUJZ26FnJKOugz0b0Xy/zRx7NxFXMUKhwsSyezfHr3WYRNkl6evmdGh6+nyj7MU0f/WWyICes9jat/JqebThN+nD2pW6v1JDKA9Srea2h8lsoViSJb+HrsnGlMTT0/WQlG05rXn6nnsRw3rQd1KKGN1b4fvqne6lO8eGEDVmkKNJ89Wo/zWsSP3f8D0Jk2ZfaT5cHAhAOrUxWkeYf7aI2DUYWKardEDAFhABF+R73d8OCU91GlYZQ7+cW0pmjmgIEbhdGfrhZRroFFRf+AhXZGQNtuheTeELoTqw/ioa8u1H6JFSEeQUB9nq0mut5pv/H/JlfSdcYoDnCBxGuhUeaoKDDWIM/y27Nxby1O1n5CMu65xp/KoWdfIUzUJM27imMw+lnsJSZOX4rJdTKS6USNKvhUHDEJuC57ppSaGi/FV7thwX+3Ze+EL5KV8iscEUdLiGsEiycgS+srDo9PZEO701aF8Q8NnvCAXqqysdkJ4ANeDG7Nh+JNcMIBzvzNtaN8cO1A74GTxcPCeNw+ooR3049w62Nx0tqG4L3XpnvJWNAsMaahNtKWKNijXBzAIF+sUa83n12cj8VjC6dfZyaVBvlmav++jOA/xoXK2ZFHnOCDcwlNRoUlPP7iAHalXrkW6x0Oo/lZJ/u8zyyD9YXyCqt64+QrnFAgW4WOL1WozzVjvj3J+8vlTKiJDHf6JWAlWtqhgi+svDR/b/IdQDzqSLfOigrI/SV14T7H6uyrifjEP/h1DzthFwRIsvBk+mUqbu2nJLpEawmmrRuxSFCVHX8TR5lfIBslT91mI+9BayJjUjdGMNhW7nKxvsro+/0z9Tag31M4yrDae7kg8kGNrr9hn7PoL63s24F4ycS78NZ53FIC5nvjjtTU4v25UNiN1x5N6RCwknk8phyfP6wyW+3VhPkmqwI8i/2HgjCijn5yZYlLMnBesjDWRfcHEfh8BVMV6Hqv+izPXKvfOls0g2wpHkDcpvy94/4KHrCjQngDdxf7TbDS88B2Rb7P+QLgis5KFytkp29abA6hzOWn32+jJR/IBc9nzhZ9j30QUXQUUG307vDQs+zWJXZI8WXCuYNQIqXyUpfn/jD8M/T9yx0ErXGwuJ7VP+tHveSyAv9eaBw3Yn+Cbr6i86FgfhtRW9pdd5xSm4LBoU7d55FqVhgdwo/WRAqACL+QBBUZizv7n9NX0zoFarnE+nXyXRFS2U1t+AVabu8XFNO2lB0dmgyxlIAtsfy3i0DP0wds1kGwBs8+UlZJnzq9R32NKGxzpy8LKzopsvnekJE84/HtbJl4g7lKRxmg6DUaFxlsG/2nt/6AF+qM3wsrhLv3XmOmlUfIoIyPeNZqMD3kMmJ9ELbqXKjOaL/KvnnS9h8wnpJP5HitHL8/A70fKtJEkuzb7/E9Zt/xFXzpP13yYT09N6QxvTmC3NMsUL5O8T1PyecjfvWxex3JPlCH0GkeyNCMKN+IxoavQr4LJL8gxFsGoZLi04tmrgRc+p0vqywqjfyK7t1w3Gp6ISll5G1F3zaquuRdscA+Oo/tiH1br9QlvHZpG3yz5cwPrFAZMzu7efljjuSHdHffkcqoUhyberzZcnzG4rHtwc9Rb07TxdBeM5Qh6Zj/dLiavbH45/2e+70A7v97J57U8vDLvgrVpFi9bzdJrCtIoJXte9Rxc+CC77kL4pI6VCQmLUfAoBCwLJD96e/WV73/OT95XJOeu6pMV7ZoB/mzvcovfXiHMvZ49r8xlVH5LX5mWP3U7NnNQtot9cMM0btzNsD3tKsnJDnJHGLB39mpA9oarevmOXt1HNYfh/+6rxUGOplDOSPcTRwbEvq+8oCua7FGuHw6IC4fWXUT8H724MaS95x4IYD33LVMka2ClbkMYc4w0H+NqFYQbDUaiJ2hZQbdLIeAqhC9tETLEgaisOPPj1m0ZZ1x+jUkfKULbfmL12fzo21GvmrdlT+3FWZOFydsLClXC/rNc9DG1cfkRth336K+RK+/ncKqykEZMbttt59q3hYh6yW2LkCfdhnkUfW1ct+DkHvlY0T87QTcoWTdastAsDNmqAp5mGMUrqCdeszJ/nJXygDLZ7zpdxcqmuu4eaPw3z0u8fF3knv8kWfr7rpdFeaW/33YCEygLVn7Jz21LPNZNknP35nqfzzpcvf/kKJncp57ZXsrFu++Ubjt911/syx32jMEM1Q5/ff/jbdL6g6zV7dwxOIMRx5NxIYuTmm3Jg/rPKb9oG7hLurf6jv/y0Qf/6IIghrzzcr+r8I8Uk464Kb4ygcvoLpKgANDvGxT1u99KD88yUVHNbIaAR4Y61FHCojXQXyfv7VGgRXclbJ7t40lDrbHctwVzpxfiJ1T5wldT9m+ybo1WCop9xfxqrM7jZfKpi3ansEGTUjvY7NLI3vc3VoAT2e7x4YfQ8x067/dV32TazvVevp5IwQ9ZZ25x0n5Dbf+vr+dk1rggV28uJE6t9nDS1fuE+epGOSyCH80Nx0sy8b2u/8hcUGIYkqVNOsMoxTEqHjzVrZnSYKi6kNYiNvlXBys2X9MYLFAaz7VJAmTFLzN3Wk5XOOiyvIO+hQ0lXDvAUfoUbNS1DNpzTLaavl0X9Eo8UVWbuEzlBQ+A6eIOq7fVPyiafKD/79xi9sQeuWnqX5M3bKa9kQRoF5sdKPUbM2pQmKciOCT9KZa9oZfgtfovUbG7vOwCZ29b6eQvGwm5Z/vo++TnJGnz13OqpUMz81blmUEAAt0hQpvgZPaEUnjn4rNnq7ZN2x+Sss/DM2ERaS6J92KVL8gz8sMFXrFDC1SJF1EBNd1boFqYKJi5gnmuWivAU7CUXgFjGmjsvTUGBRslwOatOlYrKbgjDHADbf/cbUI1gTzxSbP4wDzCsQMIoUz0ywmixW/iFD2MHjwb1FpA/kF9+oY3uzZJi5hYfgb/VXPaXSUfUbLDSFimWi5u3KhdVvLLAhk9rpZ9iIvj+kqXSrs3/3135Foj2WztsrrDu/on4jm/vVB/6NG7cq5Zm30VfQfhWq5qZE0VcwF4VDmMeLlsxCowatkf3jH+EvtoSIIN+1d3XKlONO2rbO/Op4wHLFGICC8iVxq2DK6I3iulsez8bOtTUjIEMksQp13l4086hc6+ySnb5it6xQv5O4b+hII/tvkdbE2EjAGqOlsOKq1uCxmPKv71sn8P7Zqi7icGMlrV52QPZTzAFQfibUziyTD53Smvq/uZhGDlgl5tI2tixmfMu18tuKPGYlX7O06sAHSlVYGRcrkyjjO2AtnbqkCw3pu0weQN8iXHpgbYFMU7DE/TK7gWNb0fB+y6Xiauj0xn5FuLVWox2nLetCH/VZLBXWkLkyZr2fsuUSC6tY79QBa/9xDeUth+njNsl+ijQ16xei1p3FdWYhD8Pff5q0d0gLqYrV83hZrUHmzP94F3nAg/U1EhTuPO2EXOFkPTNlvVteU4aCs4Rw3XBXsvt9J4sJOS+0aarUDeXh5d3/CyOIib5EIR/hAKVS0jVmM2bUjTGz96E8h8IKa8+axWdo/NB18uALBFkGe6V6Ys9gtleysm6Fwkuk0thZ50cPWi2NKWxRGPKurfIsfuTmmHJj/rDCL2TSUdPbyVtYkNVnTdwi5208L1MxB7XqWMHPKMUifDJ5OOuCm+MoHL6C6SrgwgOK3+MHfqUxg1fLNR3rJuaNOk8WpfrPCMOkANR3ZF3xbUWPLkTpluD+sW3XMjJYtWUKc28arM7h7F1vFpcth81oKm8zzxK34vX73twFBGbC3V/luln8qhyLMjuYdIsveets3GY/HJx+gL5boHAmmjxa8xYAHVtlYSSlPxy9485bxfuN8qZ98/baDW3wEUxvGe68E67cFgyrm/4TpE909epVEY3SWLEYLLNw38PUHla3sGCbsri96Sl5uOXw94yAXQRUH8X3emsAu/nxd4yAGwjgJkHLOuPkBtltizRf/uH6BtZycHMyYmYz39f8mxFgBOIAgXiXx3itjoNOFkEW4f4DN3tg0Q0FfbRJ9c/nelSm1l3t+UGNdh1Qfr9XV8uDjrcGPkVV6ye7HosF3pgHdxGItTEVrLbxxm+w+vB7RoARYAQihYCJrW+kivcu54fvNX/CpcUJntmVquhwxqUyAowAIxA/CPwljFp+/0PzD5Yhk2aFFynulZ++H767FtNWnpHCg8thBOIRAZbH4rHVmGdDBIRZzNVf/5BWxmUToq8sBo9Hhfs4XCWGhVg80/kzmssfxF5guoEQiMExFRD9eOM3YGX4JSPACDACkUUgphTGE0esk7W3E703srBxaYwAI8AIxC4Ci+bspyvfXZU+DTNktR5ALlDNrlwUkndyvEG/pGdPCmdagm5JfbO4Pu73mh8wAoxAHCDA8lgcNBKzGBICn038io4fvkTFhHsiO8GQQirEQqI/fxMu5IaukYFg4QMzninzY8IfnqDVSw/I/yOI7X+RjykczxDGJe+xNqaCgRhv/AarD79nBBgBRiCSCMTEdh6RHkd8tFL6wSpdMbvtqKORBI7LYgQYAUYg1hA49tUvNG3MJk8wiXpNxVVX4QvPKcJGt2e7SXTu9A9UpU4+at2hovANrPlgxBXb2ZO3Cd/vO2Vx8I19c2qnSuZ8GAFGIBIIsDwWCZS5jEggcO74HzROKGYRXAn+AZu1KROJYgOW8a+4/fNiu1mUUCMfwfdlvBMwXbv8EI0auEr+geLdzUa8t4mb/MfimApU33jjN1Bd+B0jwAgwAtFCIKoKY72POQBQstxj1G9Ew2hhweUyAowAIxCXCAzos5YWzNjl4R3BZxBwUAXzdKpSP17+i/79h2SQii8W7Jd/RtSkdSlq072Y0St+xggwAjGIAMtjMdgozJJtBJS/UmSAwDRvD2osg1hFm37+maiSCJLzZKt80WbFkfKB6ehZz3qCUt57/5309/UAV5AcKZUziQYCsTqmzLCIN37N6sHPGQFGgBGINgJRVRij8rfdkUpGvIZyI0f+NNHGg8tnBBgBRiAuEcBcmrdABiqTkJMaPVPIXrTgIDVPn/lWmvpFIkG5NGfqdtqy7hh9ffqK/Cp77nRUqWZ+atyyKN15T5CM+DUjwAjEHAIsj8VckzBDYSCQt+Aj1Kh5Car5VI4wcnH203vTUYpRFitkoDT+aGwDZ4Hi3GISgVgcU4GAijd+A9WF3zECjAAjEC0EbvpPkL7wq1ev0t133x1DAFoeAAAgAElEQVQtfrhcRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGIEoIRDf0RaiBBoXywgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMQEpEgBXGKbFVuU6MACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAjYQIAVxjZA408YAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFIiQiwwjgltirXiRFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYARsIsMLYBmj8CSPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAikRAVYYp8RW5ToxAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACNgAwFWGNsAjT9hBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUYgJSLACuOU2KpcJ0aAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBGwgwApjG6DxJ4wAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACKREBFhhnBJblevECDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAoyADQRYYWwDNP6EEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBiBlIgAK4xTYqtynRgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEbCBACuMbYDGnzACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI5ASEWCFcUpsVa4TI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACNhBghbEN0PgTRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEUiICrDBOia3KdWIEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRsAGAqwwtgEaf8IIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjEBKRIAVximxVblOjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AI2ECAFcY2QONPGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARSIkIsMI4JbYq14kRYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAEbCLDC2AZo/AkjwAgwAowAI8AIMAKMACPACDACjAAjwAikPAS+v/Av1Xx8CNUpPpwunv075VWQa8QIMAKMQAgIsMI4BJA4CSPACDACjAAjwAgwAowAI8AIMAKMACPACKR8BOZM2UZXf/mTWnYoTw9nTp3yK8w1ZAQYAUbAAAFWGBuAgkfb1l2gctn7U7PK4+jv300S8WNGgBGwhABO6DGu8Men9Zagi2jin74nerP7UqpS4GNKyDOIOjedSbC0YGIEgACP4xunH7AsdOO0Ndc05SDQq918uXYvn3M85VTKpCYfv71eypRjB+0wScGPo4XAgD5rZdvg//FGv/1CtHLJAcqZ92Fq1qZgzLN//tSf0hK6YblR9ON3scsudCrQraBfQL7wpWDvfdPfiL8Zo9hu9S+3XvYagymhvVK5Bfm+bd/T+OHraN+uc3T973/owfRpqHKt/OKUrhylfcCtUr3z7dZ8Nn2540xIhWXIdB9NWdKOUt8RUvIbLhEUBM8+9ams99g57aNy0hoLfepGavgh726kzyZtoyatS1H3PuVvpKrf0HXdvu4S9e40Xc7bin7/7W964OHk88VdG7+ll9pPo0xZ76Px8xIp1e3xB1lKqEP8oZ7MMc8v8dx6Ny7vUZ03xJndyP5baMWi/XT50q+UKvUtVKhYJmr4dHFKqJ35xm2UIDWPBfk1CIuOvr78zXXaueW0XMMP7DtPNZ/K4Wj+sZTZv8JLwK4tpyRL+3adFf8tEUvsMS9xjMDsybvpyuWr9H/v1ye6xX5F5k89RAPfWkJlK+WifmPq2c8oyJdb1h+jn3/8TaY6eugClUr3SJAv+LUTCEwd9SVlz/0QlUpgvJ3A004esbTGYw89Z8pW6j+uoZ2qxOw3rlgYD+u7ibq0mEC7t2oCC2oP4XbWhK3UoPwgmjRsd8wBUrZKLlYWB2iVs6cvy4UIfxvXHAmQ0p1X8din3EEicrkeP3xJFrZ90wmCUM6U8hGARcVHbyyUG80qtfPRsh29aNOJXvTpZy2Jbkqu/7HDF2WaU8cu095dxqYMaxafoS/mn4hZ0EKpQ8wynwIY4/klBTTiDViFaM0bUALWKTmcpo3ZLOVpEOZgyNmvd/+MWtSYSEjD5I9AtOVXf47cffLgo6noqZYlpKFOrQaF3S0syrnfLLwEPNWyJN39v9uofrOiUeaGi08xCAh7idVLv6I6jQpTsfIPhVWtk0e/ld9jL+XmHN2wWQFpDV2y3GPiL3zlZazL8GE1ikMf43bDqAGrHMqNs7GLQKys8VBcv9NrLrVon/KM7FyxME6ono8Wz9kjBZXq9QrSHXfeSrvFCfDUsZukoDtm8Bp6IF0aqtMkp92+EdJ3b/RvSH/8bixA//cf0YKZO6UFJQSNp9uUCSnPGzVRidKPyEXoxx9+IyxKkaZY6VORrnc0y6vX5HE6fuSiFMYhlDOlfARWLT5M3174mYqVyUZvD6ntqbDvzYtqdfLT0rl7KVO2B6hYuXR+wOD64YIZu6jzy9X83sXKg2B1iBU+UyofPL+k1JZN2fWK1rwBJWChYpnpu0s/U1Nx6yd3/keFPHaNZgpDjA0rD9OZk5fFzZCZNH5+i7Cs4VJi60Vbfo0Gpl1fLUf4uxGoYYu8hD8mRsAxBIRF8eSliY5kl1AjH61dfohqNSxEmMfdIsjp4xeK+d8BigcZ3oFq2s7iyqV/qVf76XTs0EXbefCHziEQK2v80A+/oMyP3U+FSkbIlYJzEAbNyZWZK3+xe4VlWne6SZd7lpz5qW6T/PTcUxOlVdqSeXtcVxhrE7N5FQ+Kq1qgOk8+Tg884oqxddAGiJcEN99GNHBio6ixGyt9KmoARKHgag0eo2oNukehZC4yWggcPqD5EytTKfBhHubWqV8kRotNR8pNCXVwBIgoZcLzS5SA52LDQiCa80bfEXW9bnpkpNupYIm6NHdiFvr4vWVy87puxTlKqJUprDqmtI+jLb+mNDy5PowAIxA6AjCqWLKzS+gfcMqYRmCM8JU+bcwmL7d9Mc3wDcBcLKzx+7Z/Lw/vn+tROUUi7pqWVK8sVsjddidRBWF9DPrhu2tRDSa3dskZOrj3PN1z753UvB1bF8dD7471PhUPGDKPjEAgBM6f+UG+fjTjvYGS8TtGgBFgBBiBSCOgcwukL7pmg/x0f7q75aMLX2tzeKRZ4/IYAUaAEWAEGIGUigACfyMQ+KQR66WyOO0Dd8k4AkyMABCYNXGbBKJc5VwpEhBz81uXqnvnndrd9ltS30y3RLz0pEoJ30RTRm+SP554qgjdnz5MvblPIJLb7khFhYtmpiaJZahkQvqgSM6fcpBWLv6KDu2/ICehvAUfEVdXClPDZ4Ry3YQ13wBwGbPeTxWq5qa2XcvQbXf5F4nrJft3n6XJixLldUX990hdomw26tq7OmXKIbT6OoI/lsZVBnueBAsOaJUvf06tP3GiT/nis3nleRr98SppDY9DBWDbuVcVSnOfxt/xA7/ShOHrhU+q4/TP9f9M8VO1+e1notlTdtPyz/fR16evyMfZc6ejmg2KULNnbUbfFf241ROaxf7L79Sles3zGII3ecQeqiB8dGfJZdAxxBeLZh6lfq8v9ARkUFeRVGZwK9C8vbEfvP+Ex5dRA5OD8KDvlyyXgxo1L27L75cKuIay+41s7jV+EGV07JDkslQgzfpNiol+q0VdQ8Tdl56dZoiD0cOPJ7Ski1//KPz2LqaipbPSJ1OeMkomn6H8lnXG0flzP9DwaW0sXTlRmDZ4uhi98EYlmjhiJy2avVu66EE9SlXIQYmdK9JDGfwnRVUn/dibPeEATR+nufjJkSc9DZ/aku68x5v1z6cdoSVzd8t5BUIN5pV6jYv6BcDR10vl0LvjDE9m+vb3xbdIiSw0dHpjT9rpn+6lER+t9PzGv/W/A/Ulb+61X0Pf3yR93wcKFnLm6DXasPooter8uFEWMlLt0zWHyHdTF3elE8cuefUR3zr4ZrJny2WaNHK9J4Ar5tqa9QuJqNlFDeda/fenDl2jGRO20K6tJ2VbYy4pUzEHNWtbhh7Lqyl4fMsz++00Fq992JDef2W+dNs0Y3m3gIFMVf9t2qY0dXvN+5rz77//RdvXXxFC9DqxxnxNag5o06Ui5cifxq86VuYXfIy+Pm/6DjlvBurHqiAV7Fb1tXPHf6Nh/VbQjs2nhMxxEz3brTI93b6Qhy8EMZs3faecy/8UWKCNihTPTK3FeDTiX40XxD1QWIwdvJPmT9shffyjfzRqXoIat8nvKWP5nOOyDhiLyL/uk4Wp08tlvdb3hdMPuzoPWQkCDJc0gyc/6dd2wR4A61GD1niwDDa36fP79vx16SJsy7pjsq1DXUusyhy+a32oslCwuc8XG6t8+X5v5fet4gbYHbffKj9xcwMbzjqmr8/5U3/KTfeW9cflmAnWT7CuTB61Qc7fuA3o288KFs1IHXpWpUKlvK+Buia/uiR7KYxOHrpKM8dv8eATbE/h1thW+Cn5EnPf4PfW0PKF++RcCZmicatS4ibaY57mnTl2P30+a5ccw2jX5u3Kec2FRv163dKzNH/GTs8aG0g29l0/jPJTzzI/9gBNWdzGz6Wab/+x2v+O7v+FPnl/qdd61/GFyp79E+ayiWJ/sGHVEdm/jfonlE8t6g4Le/31rb/K9+ovfwaUUz95Z4OwhKtAd/7PNwft98gPN9O0sVuoSauSJDw40uzJ2wny60vvVjL+QDxFf3m65lC6XewD1FjVJ/7pe6IZYzfTYuHOTK2V9ZsWM90D6WXTAWOfkUHFMK9ibwZZA2tp73efoAo1k25UiL34/GkHadn8vXKtBQXbG/tWxs5+3DcP/DaSq/F89uoeXrKWfo7yfafP11eu8Z3bjHjQP+v+Wk1q0ia4O8lQZXi3+m+weuA91o8OTcfKPtTz9Vr0ZGKyrKW+t7rGhFLu30I/g3kP88Ur7zWg/EXSU7uG2p4wlO+N0vjKFUZp9M8GT2xt6AYw4Hdh6qjgy3qJcDO7V+iQUH+1B2rcsqjfvlPxEe4c6/u90RyKsnzHQTAdlW++web+gLjqXmI87Nl+ih7OmJYyZLG2t0M2ofTpUHlxK52/dsKtkpLyPXZQC6SVt2AGv0Xc5aI92S+Ze0xe3cNi01j4gguHVi44SR/2WSgHkSL8e/umk/IPDuiHTW1huCgbfYs8sNDh75O+X1DfYU2pTJVHPXn/+ydRrw7zZN56gnCGYCg44Xj+1RrUsKVmya1PA+XnqsWnxSR7TV5f1NOWdcflhvqFPrVMFY9eH/j8CIevQPmG8s6pPgV8Fs0+SieOXqK5U3Z4isaitGj2Hlq2YB+90b+RaJvzQpjfGjJ+UHh88r433vj4xJHvaJjwdzNl9EYaPetZypBN7PqskFD8lxaKRvC9ee1x43YTG5tVi/fLhdVX0aOK2iSUbaByQgFihYz6L/o+rmTgL1DfNyoHEyacxePQBEKA/rBFP5mqb1UgTSgUgV++otasYqGELF4+vVAopqcRA1bKzQqUj2aK9d3bL0hlcbacDwpfkvb8E23dcIIaVjxCV7676oEA9Vj02R7517ZbArV9vrgRPPLZpW/+oCEfLKOt60940mTPnd5r0cZhxssdp3kCIyEhMIWAjb+JI+6jTya3NlROmxYcpReVa+aTCuN9u88QFmQj10GL5nxJOzefoFYdhMLY4LB/46rDhM1TeXHog+9PHAutMoHmNPjhx4GR2Vxr9i3GIeYR/BUtnU0cUISulHMai/LVM1KReVlpo9jUrli0n1p3NQ4YhI3PLrE2gHBw5kudm4+T+CrSzwHV6xWgNwbV9P0kpN/7d1yhN1+YbdqPRw9OQ59M+P/2zgP+p+r/4+9Ce1BRGkj2lhW+9k4JJSOVVZSsSlq0NUSFRNlkJCNZZY+sSEYkkiSRkorKH/U/r3O/5+N+7ufez/d+1nf9Xu/H41s+d5xz7vOee8b7vM/73S6wWBSSqApUYBagUP8tySKVaxTQ/zz1j0i728Zq3692wTta9ukO/Xe7ChzV65kaIUnjwLJPtqu0Csng/vN0G2wEfTHa+4+nbZDHnr9NBj0/N8jPHdLHRPxTtUg87P2OgcljtbpFU60dcn2g5INQOLa9L3Lfp688vkjFrtgUlLS9bbtTjbW693UPBOJ2r70eYYIy9qMOgl1qRry+sf/FsdCeXX/ovgnvrqJS9idaYunHECTIPr5CWf30gWhj5kz/Qgqq/u4pFeTvzDctul9DoO3Wardg1yfUQkyEEnFdSuDY65EOM2WdGifYxT6nQPsVbfT1aL9tKIhzXX2pvNB7ph5LGsE85blHZ6j+o4BinyQvPDY9qL3Ge0VbCAXeyOltQ+Z8UCA+3GFiiB9Q+9gYc6Bo/UG6xd9wa2v8tFOofzOnbJCLLzlPj9uN2Nuphx5vINmyni1D1AJlSvUTY5GyFWPvf51V3Z4uFNalK4W25RhLzZ/1pVxfIKfnvGHNil066TqNLSUjFMZr1ALPX3/Ucp3P4trlatyP5y6dVCBkrPaJMpZB/2DngrbazIFSes+4b/rYbUFz1/POz6bibVjK4nXLD0qfLpOC0keZ7P2B0wjFzs5tPoPz4ebj9vvT878xZ2neOmVlcSTPkKj6m1IZTqjm58mHJut2COMzN2VxtH1MSnnjfIOmpaTvaw30Yj/GxqkpmLO6xYwJVwa3eu1XR+U2Bkde+KYwB8If2jyn0VssbWyi+niUO9pyheNrzi2at03PgwoWyR00TvVzr5867SedRF+Tqgrj4QPWyKK5W7WitsNDNRP9bO7pq3nj9ImWMhCDiVisi2E19Erfj3UHhUbkgYfrWZ2kygOKx9FDl+qB0ENtJ4YEIpk5cbsMfHauLiMs3Lo8Ujeg8Nq36x8ZN2K5HPv9RJCyGMu8D7SZJF9t/lGvcPV4spHUvDmvTgP3jBqyREV1/UoGPjdPzjk3m6uP6Ff7fqSsrM5W1rJ1lZVbWT2A2/HlUXmpzyw9cR43fKXUvaVoYECQO282WbW7t0AJ1b7pcHemcSiXe8IpH413nYKlLdhi8KJXrdW7nDZ+m7KaWqgXBfr1nKYnZW07J8n9PStrfvBb8/ITH+kJm5MfnqB2o2LaGrTOzSXk9rsqBRQEuG+AsmwFd6QbTbCa6vWKaeWDl0Jt84ZftDLj+LH/k47dkkIGehg44l4EfjTbKGBBgL/+jy2UeTO+dH0JsIYb9ML8qOq+W4IpNZhDXv5EDxCwevjEy7dZEwh8y8qaYK4ahBYqZimLYYGA+uolC2bslhcfm6nboJ5KKQ3JoWK2VatTVE9qFs3fLp0KuytsjWIdSno3xaRXnvbjh348qoNHvjXmHksxrZ5h1ZIfVJTdxboejB6yTHJcfqFrAJejR4/LYw9Mkv9O/ycjPrhPit+YXa9KnmXbpozV1p7tx2tW+W7IKb2V5bmZbMGK563+83U97X2/apNmtJOsyjAbgTKmLOko/54U1VZN0ZNvL8W14QuXPn17TAt5ZFii48/UHa90Qm70OFD8xhwCC+pdOw4qy8OdoZMbxQ/KYtRxL9+dWEyBVKlp+WVO6RlwLVh0amFNZCNta6GI7NDcsvyHZVhH1dc1bV3W+vZUebFgOVH5P2vTMTLFRiJYNFCW0lAYr16601NhbBZK8B5KVwxdKEFQ2+5PNJKbW6jvQgkGmRhIblq/Vz6dvVVbUPV/R/leTRY/7ctXXxyVXh3H6zYX30u3JxoEFnJWL/5RW63je3lAKavHf/yAaz8+e+oX8uef/6gAYZWk8yNVdVuNSaVZEELdT6pdSM5Tu57aPVhd/fs6/V3/9YcKdjNijV4UhGKrUNHcrn0pgkP2bDdOl6//0NZ6wQ/t6Tuqr/hk1hZdJ7u0GhnSn0wdu0XeUVG1oaQYPXSZPDXACgyZ6HbIvhMg8DKS/4FnfvQ+69uPZnfIsz0W6LEd6nsXNQ5qcY+y+FEswWPSqM+0BTesh885J4t06RPsAqzPfbPVgudO3a8ib3wXZmEI7xqMGql6alcWp8VYyE+7EY9yOd9NSr8xNntGjR8g4Oe14JlSOpGcj7YfG/zCSv1N4V236lBZLfJV1u2i/bsJ1wfCb6R5zvZdq+kdX+gD31CLMjCigFKrcfMyAQaJHL8mYuyFZ8PC4L7vfpF2D9RQY/FCVr23jUOxWDz81dVB31Eiv22UacuGH/SuHMxzeiqDFHDH4jrGZeCOMuEPY47+H7aSomWy63Z03DDLShXzoAkjNgb1Megnu99j9ZPOPtY+Nn7yoaky8sP7A+Nm03941ddne85XRhLb9K4kZyC8WNop5AereLRxjzzbOJC2GVehPTeKZCen15+dI19+vi+kfsaj/3XjgLEO+nWMjeS0Uhg7FtIxloJyAwsBbjsTzbwBfT7GHaLGmKXKX6frweple6RuE/dFqTXLrdV4N+OTv/86qeZAxeUBNde9Ku85eufX/JmbZJRq3zFe7dFuvAyd0F4Qr8ZNRr61RH7c91vAohRjtC/WHgrMaSolXaX66ivlOhWIuU2HqoEdXPZ6CoMUt/FCVPNxt0LajplxNQ6FnT+nkI7XadO2eZ3HN/TofRPl5Ml/9fgM4x0/EskYPlH1N1w5n+42U4+tsHDmtpgfax8TLm8w7/u6UhbHUaKZs/rNPhYdFXbePXr/+3qOj3YdO/aM8SL66yljV6vvb680axO8QzrWNjYhfbwCFmu5UmK+ecP3+hLsaolUUqrTkaaXqOs9HB7ELzsoMJIKDNB/E5UbCFS80dPPdP7xy8lfSsa6+Eq1Wn5H2/L+bnK5ChEyzSoyrCHRiASs31TnfGurwjJxbhet4MJgafbUHYFUcO/It5bq383vqqi3dNutI7G9Hum9+l6ToJyHv7ZaK4uxWjjl0y4BZTEuwj3PDb5Zuj5WX98zVX3MUHY6Jfe12dX24+7SprOlLMZ5DO7eVAosKA0xCd60fr/zNrnoYu/eJh7lCskwzIFE1imwfX9elzNbnNS7xNbix1848y66KdcdXXpbymIUEwq5V4a3DvDDgMouWJSYuaqLjliNDscI7ntncjtBXUQdWbvS2kIV5tFDTqHeFC99jR78GYsA+0XG4gvvddGcM3XQXGMGjhhgQmFhl3POdV9PQv0d8cYS3ZH4qfsfjN8aUm7ngX49ZnsOArCK+32yFWCnnrXOWJuod3P7PcV1VGAMzlISKKUnjbQmnJ161Ap6F3UaWxb5Kz79yvW7sVtZ1m9yZjt7Snk6z9+iXOAgeGRgUq+eIanedTqAHNzQQCa+u0pPtpyCd5xNufIZN6ejVhZDoKS65vozlumI0IrBN+rxqJntgixzsLg0ZHx7rSzHgOv9kRuDsoBCLUsWa2YBy41wcv6F1vZnr2tM3UkpHa/7A8fVRKVqHcuqFVZtToGS2Fh3zndZ3DALIvDvWbthsAV9uGd4d9Bq/U36aWsnqEU2u6XByLdW6zKB86jpnXVbG9j2qfA2vrOQTF7YwZe7oqDnTQCLqjXz6D4K/QomGG5iFkr0e3DxoYo6ZZTFuL9Uxct1n9bl0bo6Oew2wAKDU7zaF/RbA9UEG8piWJAEfS8qEQxa8b3AbQLq+qRRqq9zESyMdFBuMR543FIW45JKNYJdREF5OXLmXfobNJNqvCu07/c+UF2nCutrL0H/jfKZ3SEYA6DvrptslYU6AD6BLbPq/bfsWEovEEPWqwn98aNnUk+tdsj5PPNnbNMLRajvD/au5jwd9vfcD74JGAKM++hBa/t5soICPGBV/OJgy23NLLVVHd+kEdxrlMWvvN1SXxsYR6mL8K7xfpxWRPEYc0Q7FgrXbsSjXGFh205iaz7G1VjIP/jT79Kxey1PC26/afq9Lpp+bNuG3/TCAcSMoUy7aL4bfO8Qrz4QhhBDJ3bQz2ncg+HbGziqua67GJOsWhK6hSQR49dEjb3QP0xbep/uJwKLJMnj0KeVGyHIsk92+LZui+Xb1pklC7a0o20z3DGGQdtXpOTV+goz5sB8AoJ3i7b3tpbWzhUsStrF3k+ijTTGL7gGY2OMX5Am2ngsGvkR7CgBG7tBgLkvlnbKpGH6dLsiGuV+ZVibQPFQh0M4jWyp+1nUTxglGIlH/+vGBWMdjHkwDvnqy99CLoGiGAIFsFu/D8tkiL3Pr163mD628ONt+v9OwbwMu/Tcxlq49tY7b9RzVCiLIZhvYGz04eJegW93yCsLnMkGfu/99lfVj7QK9AUYr5avduWZ69U38u6MuzR7u7svU0+Ll7lW16WFajHBLtHOxz0L6nIiXPvjcnlcDk18d6VASR/NAjAK4GcMn6j66wUAymAsTKFdeHGI1Rbar41HH+OVd1ocDzdnTak8seioMAYfNmChbq+gmMd4277THf019BmYe9sX8uPRxiaij49HucLxxnvCznRI9ssjc0eRUp0Oly/O2fVhRtfq9f9WtUf5Hje45ZtwhbEz0xtvul5thQ6vjHDeE7ff6iPQilQlt9xxY2DgE036UMSh88EqtnMyY9K7UPkUbdPJsqZZPF8popLlg7FrAkqdh/u5b3d1lgkKpIVzrY7ukWdu8TR5b92xtG5MMVBwU0CWUr6VnYpB5IUGoEiJa3S23+9xVxw4y4Tf8SqXW9p+j8WzToGPm0+vEmWtbU8oUxX1zp2Sr9AFAX4/H3TR9jlvSP6NwXdFZaEG2fONWnKPQipUsyz74PvRLpiYr1x8RklsBon2a0y9hLWMX4m07n+2JHii4MwH2zSonH0AACAASURBVMygNMBg/PGXbnOelmxqrcJM0r/bFbx9POTiMAcGv7REfxdulic3Vbs68N3AusIpxsoSyvlIfc/a0wrnX7Jzrzqeiw4mjfZda3p+++g4TB14UC0cBVnkJSeAyTW2hkOwpV47p0vnUqu+5Zt70/rvtFWKXexK4nWrdmurJ7uYbUIVqxaQC615bIpPG2mbBsUk6gcE5YNSDNK5V21BuxBPiTcLLLTAFy/ETBLt5bUvlJi8nc+TJYv7MKJtl7JSqXoBffkstZXXr2ARwCjrez3t3T/CRzLkM+VSx21rICaIXn2zn7LUu8Xawnnox99d00caVWpZba8zvULFLcV0/oK5XF0N1VG7TtAWwDXNH78rU6lkSa12yF7evd/8Je8NXqLLE4klkklj7owv9D9R373cKkEhj3YXi174JrWotufDCev0P29vW1Fuqm2NP6yT3v+N9Pv8XxgLXZX7UuUmydpt5k0ufmei6ccWfPSlnoCiTfD6Ljv3Un781QI6FrgXzwsdN+B7KlxKaSKdopRFZStdr48ePGBbgXFe5/gda11K7bFXlVr5tI9E9Dm//Hym3fB6zFi/bXu61WpbC7fOvIqUsBTGGDu7jTlqNSqhb/n9t78D7Sjaayh2Ifeq3R1u7QbS6qD8zUMwjnX2/fqETU6orh+W5qhjToMAXBZ1O2XLA/XPrU/PX/ASrRCGVFYxCpyCuDKVkl0hHf31jDuyePS/zrzwG2OdcmquDVmx8IyCGr+hIIai2IjTjRDeDfpUfON1VT9lpK7aIQmjIrObMXAi+R/GHQXydRtreY0TMB/FeBWCQPTw6eomWEz1ExPI7V4cq5ZseLD/+1+DLolmPu6VR3o5Dj/iRrEa6QJwJM+QqPrrVgYsBmHBEfUSrr7c2pp49DFueafVsXBz1pTKFOk83a6jwg55jMHxvfd5IXRO7pV3vNrYePbxKGs8yuX1zDh+5PBJFQvJGneYmFrhrjfn/NRpP+mk1jXuM7045g6LynGzH9AdOBRCM1RgmGbVh+ttZKktsPLF5CFW62KU26yWu229sT9X8TLKckmJfdL55eeW6Xr1+sqqMdkSJyUWsFrFINprW3DgfpUefJpCIlVAXpvXGvAcUEHA/EpqlMtZlvRUp+xlM/yc5bX/hvP4Hnd/KDWLDtLWQR2aTJRNalsHJBLu9jQxqEMn6lSozZ2xSU/QoSCExZvTmsBYBOB7qFj1jEI8XPlxLpa670wbDSYs9SF9X23qurUcVo3Y9g15XwXMmPV+8ADYmabb77VLflSBWDa6Wp7o69V3o79HJc4BNI4ZK0u3xQJ9UxzEvmizddOZAb1JGp13mQr5PHPasGaPnixhQlm2ojWJc7u4vPKdC/lu92E5fOCU2yXp6hgU9NgOibq8yrb4AOUwlMQ4d1/P2vrZ4c/YLmaLZNUIotbG0qZtXLtHlxNWNnVudg9CGQvcRLC4OdmyHQsITst2s1ACxtEslDRqalnj7/zqQIoTfsPFTHBTcv1SoPAVmrOX8qRMef9tGtpCBBVsljRct8uNK7wtrzw1SxfJK/1Y3mP2y7IKlHwhkgbt0JsqngHqbDSWSAjOhX4FbRN8MIeTgsVzWzyTJ+zf7jimXc1ATB0Md785F8v36Sd9XJMRxkL3qzH1ayNUYFjVN6KOYnv/0P7WDhq/z5mI61z7MbU4AGUQpGyYPgyL9Yh9ADEWO37LeGXy9/T9t6ELvl5pxFqXEjn2QqDkcUM3Sut6o3WbVKfkG9Kr/RT583el0VPy/XcpL57H8m17MYv0+DXXhboY+Gb7b7rOQqooP/BeUrpcHt22oH36NgWDisH9l+g03QwCYmmnvMoW6XFTP533Jar/NUYgiE1jNwww41uMmdCvQxlv3/Vh+vxipa8Ocm+D7xo7EfEuMLdwihlrRWJ8YtLAtnwYY0A2rf3OmbT+XaZ8Ptfjbgexnf7JB+bobwbfzj03j5UFKm4ExNk+RDMfd8szvRzDItHYYcuiXgCO9DkSVX/t5bDHt8HuLFe3JanQx0TKJpbrU5yzppB4LPN06BIg+N7tO77CZZkabWw0fXxqlMtPX+xk56tOO29y+W1c08AVZ0p/cD3pZze2Szb6kPuec6+rozyOieYNxcpLu27lpXfHmXrlC07LjQ/NKJON7DZlXfzhRMuapcmd5WKyLsYKLFbLIfB5++rT/osC0/UjRywruKIlrIGxn7uN1SomWEkFB/i5JVWuSatypYs6FQFhKEbhPwtW6XbBKl6sgi1XGNxh4g6FGtyhYEvJ4nlb9WAbPiF//OGI3jaMwWLpSvV0lthqDSXbjcoyx82q2q1csdR9Z3rIH34tUQbI3j2/elqZYev4vr1H9Pb215+Zq3ykLtVbxu/skHIghz/VvGRAsr9wN8sTUy5M/iaqAIRfrPtOK84ME2NlCaV8jXruVjbOZ4v2NxQVG1bvCUwK7elkz36hcg3jnfKhZMv2q3Jnd119N3dedoW1ZQbcv//uiOS8Rpl4pHOplFQw2X/eN1b9VuWFchjP0FC5CLn1zqK6vkPpaXx1Q6GMLZKRLojE0qYdVNaokGvy5HC1sokH5nizMEpotB/rP9snNRudUbSahRLkGY2YXSuYZP7zNyziUt5dBF+QEPhmx1+0cullyqzLhzzTfZ72/W8XtNPwOZkWkprt0JjBG3R7E40rCrA5/LO1mwbv99YqkY1LjCVopFGlY/k+E/k+U7tcl1xhueyoUqe5YHL5eNep2u/2NcrS0em7NZHP7Za2sx87rprFI8mWlQWUn9FwcnlOq39yKnbC3RPtuVjfWaLGXojNARd+doGLHriN8Suxftt+84nmup9+tIxSYJV7Ze4zLrWcaWG8g3EP2pc9uw55BnyCy6NwBgGxtFPOMsX7d6L6XxiBYOyDOeNXX/ym3R6aXYdo7+/pUk5yXHaBvKbiqEABbILeLp5r9YVufT6UwYhLsG7VriB/1NEan9hZ5i98pXaNdfz4/7kihp/rlATK0se7TA4sRpjrjdsy5/3Rzsed6aSn3y8/+VHAUCjIZUeCCpmo+muKu2ndXhWz4tPA3PkH5d/dTdJrH+NW1pSO+Z2zeqUT6zzdjM3yFwzfV9vzT69tbHosl9867fV+0+p4wi2MnQ8G83YosdCAz58VuuXMeX28fsOPqrEubnGPezR4v3lhK5hZHfd7TxblezSLUs/bTdcRfM6vRGN9Gm7boN98U7ouPZQrrepUSmzMeSiL+6hgZVBCwIf3K++0klU7rdWgWSseUat40Slj7Pkb/2JmZdD4dkUwN6wQwiec05oAgz6I8Zvp53miqftwJwG3Ek5BYKzjx05oixDU1QlKWYuBp5cgcFafF5toK2GwHNx/gbYgQBTYcPLyU3O0db6b5Yn9Pkz+Kqnozs7tsMbiorSyWEyNgEIok1GahXsu5zn7VkfnOa/fp06lfwtjlL3+raV0Hdm+Zb/2+QqFPpTDmBAhSOdZqm2tc3NJ/e6Mr+7lC79O9sFV0PeCCPKKpk27+BLLibYZaGU52+fWEa8XE+Z4IlhA6Q5BJHMj9oUS5BmNeG1D9UoLeR6OwKUP0kG9yJrVxbmyVya241jAhrIYaWAnxrTFPQOr9M+/afnd9ZFMXC9JrXYI/v7GvbMiJkukSHcxAZQZ9xjXV1nOOlvOjuD1RfN9ZvaxENx5wK0HZLbaSZNeXA2ZfgxuV+B+JRI5feqMr+tI7ovk2njUpXiPvd54bnlAWYwgYdihaSyHBo+/V++qSEni8W2nlEcs5yNx22byMYYFznzhq/P1FAwCYmmnnPkl4nci+l8YPBj3GGtWWvEfzK5DjJUwZsLYCWMoLLbDyATjKhhMoL106/Nr1s+jFxexuPzVRkvpDx7GHQXy82t84uQY6VjBeT8s9rreNUbPzaFcxlxh8RZrnoX/G1/a9vuinY87804vvxEMEzs5ol0AjvY5ElF/TVnef+8zrbuBKyPM/eaqWCWwIHdKeu1jnOX089vvnNUrrWjm6UZHhTH4kZ8to8azs/gfmKXXNjY9lstvnfZ6v2l1PFUsjO0PB+VV/kK5dIeDbaq3Sqg/2HjDwAcwQ0VmhrRsb0VljiWPSy7NpgdtGAC/PvIuwXYav2K/1+89uM440i5bMZ8OKJReJD2UKy3qlG/+ahD29msLtOKqfpOS0m9Qw6BbUfZcbluTfWdgXVijXlEZPnCRbFTbufbt+kfg2xWDvruSfWjjKnTqxpqgaq1Csn3zAT2wgN9MvxJL3XfLA8Fv4M9wwFNLtIUIgrZBMewlsJ7G34oF++SNF+dpxepzj86Q//u/23SQGKfA2T2skt2CoDivxe+qyicp/CnDslJbaisxVpaVw2yddEsrlmN+rCmc6V91tU8nvbYbL77YUnQ600pvv7HtBgr7jWu+UztUlAX48X+0chjbKs0EpXHzsjJ59Gc68nd19T2YBRHji9bvM8XSpkUa8MBvmezXJYJFlZqF1ULuQu3WBlZIaJfMQkm5ytcHBYiMpsx+78F2qUtznK8mffBrWE8QsTtRMnvSDr3bCW1D/6EtgwJEIs+iJf351E1E+RLeDql+aVCyv08oyqO1RMp1leVPFpaCE+ZGtt3N3Bspv1i+z0jziuT6tC7XjZXyydQxa7RF4U/7TqbaNxuOkenHLsuZTbtKMn7+wt1jzl10icsqs58bI7gmHu8snmMv+JedruYqGLs9/lITadi8QNDTlCybS84/75zwTxinbzt8JrGdzZtfmcdHKGZR1nnbwOfmBeLJeFnWx9JOOfNLxO9E9b9wmThr8gb5fOUuuVm5h4JiGApiYzSFsVPNBsV0uwEjE4gxrrAH6A48s1oHr6DiQUCBt2TBV8pqOUmfMu4oUnLRmAh2Js0hL1sBn8tUyCODx7aUs22G6/B3e02yy0V7GaKdjyfyOaJNG4tEU8aujWkBONq8E1V/TXkQSLLXMzUEvpmHqjkiArKNrtI2yKVneu1jImUa6ZzVLf1Y5ukIJmnG4G5pex1Lr21sei2Xnzrtxdp+HEZ2Leq86edS7Wc/0nG6PWH/Jq6+iuPvokRaX7mVYOaUrXrVEbCatUp5C7tbGvZjCGZ3WXIkxEgtAe337t4RukrmlfeVyROzY3/+k26sR1DW9FKu1K5TXu/JeXzDmp/14AoLDN2fDFYWO6+N5TcGd7COxSLGQKUIgG9X/LZbxDZpWVQriKFMflMpW6HExuDPrx9tlC+Wuu98PkTdNsFvujxSWw9kodzF9sKUpHrDPDJzZRcpX8Xyx6uDJykfVnZBQ4qBBSScKwr7PcbiAvxwv7GyxK4IBP1ItGDbJSRnrpS33znLAsUXBFt///U21FbuSSzLEExKc/nY5ufMJ61+12lk+Zh+f+QqmfDeKr1TBUpiI1ByNr79Rr0YCYsj/B/1vXT5yCansbRp5t6DPx0VbHdMlMSbBdhhNwK2/pqgZGahxOQVzbOY+gxlEQb0fuSynFbd/z3ZdZOfe6K5ZskCyxd601blQ5TF0aQXz3sS3Q4N7r8yEFgwlqA4ua+x/JMePXpcjlmeRHxjMPdibHboJ/8xLWL5Pn0XLooL07pckexYi+LxIrrF2Y+dqxaCLrrIUgDv++7XsGnt/97ybZsrt7UYEfbiGE/G453Fc+wFJRykZv1iIcpiv48ar2/bb37RXJc9h+Uu6OBPv8vRI967nHAO10ByXxvqC3nmxO2+DAJiaaeieb5I70lU/2uCqMLVw2v9PtZzESiI7VbArdtX0WOpsW8vlUnvrdRFx4Kll9x6R1mtlDTBZo07ikiNT5zpmzYjGsOHwz+e0nMeSLcnGgUpi5352H9HOx8Pl2ZanDul1AKv9ftIz+miiUUQa5kTVX9RruZ3Wcpi/LtVp1KCYMZw5Tjm7Q1BxU6vfUwkbKOZs7qlH+s83YzBf9gbvq+2551e29jUKFfOXJGNVfzWabd3m5bHUl1hjO3E+/ZaPmguVFvVEy126+LmapUqFofPgbIqK300WpBln0YYgMt278rFX/t+fASqQicN65G1y92jyPpOLI4XpodypXadigSf2fKfJ98Vkj0yvVUk2ehrzSBvY3Lws0bNHdZ5yjoAW9EwQTf+OavXjdAnr63+GoVSxAVNvsEedftiFW+xw0M19Zkxby8TDIBSFFWWFvdU0pe5BXBDwBe4rkjJFYU9Hwyk4dMZAy/4WF6/ar/mVbpcPt/O/1Mst8cFcM4Pq29I2eQI1x6Xuh4uWfZa3UbA9+PWL9z9fOFGYw1SuNhVyn9xYjeZHEqe7LkWOMKDlhXDuZYFnYpIa9yt2JMxkxm4q4BEuiCCe+xt2ub13hzdim/uhSXd6qV73S6Jy7FEsDCBAVcs2q52KfwlG1SwHEwkkVe08sU6i0GBwleF9attT790+bz65/JPv9YLNokSs+W9ZLnrEpVF1Okmsh3Cdk4Tbby7mlxnjcGQs1CxHHohHgsNC5WP/EjE3It7Fs7xf296GHO4PWdal2vblz/qYuGbPe98f4szbs8R6zHXfkz11SYY88bV7kGtkC92N3y9zXqOkmUT/13G653Fa+xl2qRCxa3A1ZG+i3h+25HmHcn11xfMoQ0EMM5as9xyjeZ2P87hGhhcFC0RHGsBypWRby3Vt6VkEBBLO+VWrkQcS0T/C2MQPQZSAl/1GB9ijGQXo+zb/fXPyuXXgRT7fOO3G+Piz5Z+H3BHEc1Yy5QD373ZOo5dtJHKqVP/6XqCvih/wQiUN1HOxyMtX7jr0VajzYb8ddx74fTvv919O+O+YQNW6sWARLii8DuGT0j9Vc9WxbF40e3xhroew0goyIVhOu1jwr1757lo5qzONPTvWHRU6nYzBl+/6luBP2U/kl7b2NQoF+ICmW/YDyvfddpHYqkZ9C4hCmM4nj/qMc8eP2J1wJeZm1IEE8QOTSbqyKbxiPg8adTGqKyLzYoBOsU9u6zALvZ316x1Bd1orVuxWz4Y43+ygzQa3lZG3wtfQ6Pf+txHlVCr68qC1PiahQN4ZzR7X4kk4KLUKlcsdSoBj+07yaxZLYXcgf2/ub4z+N2CC4R4iFEiIS0MHOBvzCmwyDQNW8GiV0npipFrsU39RbkjrfvO8th/w6UE/FRh4DPyreBgV/95GKH8/Zc1iMIWmgsuPKP8nD52m+YKq9tuTzQIl23IuVuSB9SzP9goY4Yt1+dTY6vd8IEL9aAXUeIjcRNiHsD4PsXvie9aliLOh9vz9XGZO/0LfbjOLbHvtnCmb34ba7ddO37yuiTi45jYQHFvxLwne0J2Bjheu6FllRxJZmjTEB0YMvC5Oa7frVd69ntHDFwsh/Z7VFyvBHweTwQLu3/CQS/M1/1m2YrXp7hQcvq0u69R+G6fPtFyBXVbK/9xAxo3L6WVCch/yCvW9+cTS0SXmTq6c5t7HZ3+vtq1kIaSiHYIVu+DX56v2xm8Ez+uKMKNhbAA30BtdYaMG7ZC0E/7Fdxbs0FRfTkmf9iO7ym2KpZaYw7PsnicSI1yfbZov2vuaGfmq8BVkMLFr5Ycwbo1fRzKRPj8x98Xq392TSceB736MVOfYQmItsFNRg1dqhcfoPipUc/aPeR2XbyOxeudxWvsZdqk73Yddn3EOdO3ByxunRdE820700it38YVAvJDMHK33TgIYjUpOehptTpFQoLIDnp+jjYIqFyjQIpBHmNpp1KLSbT9b0rlsxuFOHcdmnvtYyk/fb7xWQsf+KafTGms5TVOQBle7WsFasP4H8H5IhXEMMCcGtboP+6z/K/a04BeYdGcba7JRjMfd00oyoM5cqr5ffJOnRWL3I3IJg7fJF9vdTcUQ1tqFoC7PqaUqTEsANsfIdIxfCT117geQ35bIwjkietLlM8hqK/49uHC0C7psY/xWy0inbOmxDAWHVW9W0rouTPc07zx4gJfj5Be29jUKJf9G/7rrzDbez1IhqvTHrekyeGEKIyxSnJ7rTfkredXyI4vj8oPu//Rgak6NXtf4OwZAqs/N9+/cB+B7QaQD5UvL2w1iVagVIXSB1KmYl75af8/uixef/Yt7TcUvkgr3SDP9Jymoswq02ibIDIo/K9CBr+0QLq1UdfYggBg5QsK71tuGhYyiULlwLYRyOghy/S9W9afMf2HD9oXHv1EGld4W1tcGHns+Qa6TFCo3Vr1DZk0YtMZZYbyW7Zq4Q+aMfzBpqakRrliqVOpycKZV/nKufQ7Q8Pbt/sMgYIYApcBeH/33jYsEOAs3OqyM12331AiYbAHgSWxm6sJY02AaypWVRMytRIZqdjrL+p+n/tmyzdbzyyq2Ou+vf76yefBR+vpgR98ccFSycjQV1fp72H6eLVlU9V1CL7JkW9aFiZFil8TmFCA8ei3LUVTU7Wwc21+mzMzH4WACwPzzjBIg3VL7YbRW1nas5zz4SZBBPTAgo96lo+n7JRmScO1P1U8e+eH67q+Ox9F18pxdPRIy9kmYfvmfS3e1RNy7JC4s33iFMZm8gC3EGjLzCo12jYEqYlWjOIeARwRyNFNjGU9FkSK3xj55ANpdnvc4oi2tkUdq94FJrW2tnbIS6tCimDuhcKzTaMh+jv/zehn1L3wUdai1nvidm9IYmEOxJ2FwxoJWSPoUkrS7Z4xMm/aGSsxfP+DX1ipA31CMQlfXW59vVe62G3w2PNN9Lcw4/310rbBWFm92LI6xD1gOendL3V7sHbJmeNe6Xkdr92wmD41fsQKwbdhZOeWP/S3M2X0msCxWNtmrzKEO56IdmjYgOV6/ACFfKt2VcJlHziX0liofffyWmmDCVy724brd29v9zG2eaTdDOl5z/SQ/Dr1qKLbWtzbo914fa/dagjvHWOaPp1nB92bGmOOkML6OJDIcqGu9+kyWfPAeBrjWIyvMc5GO4MxBr6Zu++v5lpS7IY78fcp/Td+uPuCouuNLgej6cfQXqMtQJvwZLfJQeNX9NmoIx9/YC1mdn6kTnx2A7qU3XkoHu8sXmMv02/C4h7jBONa6uD3/yfPdJ8nA5WrJfCDHPsjeBtWNN+2k0Vq/r6/V1JgPtOxWXAbjxgVbRsP14uGaKs696oVVDQoVzDGOf+CbNLWo747nyWWdsqZVkJ+R9n/plQWGIVgLAQJ2XWYfLMJio2fZrE8XLrOHU7FS1+ToqIX3zbqMOqyluRxFPp3E0ug19M3h8vW8xx2ykEZjm/j6e7TdLtoBGOTO+sND+gV/u9EsEIn2vm4Z2EiPaHmYJWSbtB3QQFv/+737jyu28VxynAFbbtTMCY1MXKw+FqpZnQ7E5zp4nfEY/gI62+JGy2DpvdHfib4niMRtAduLgzTax+T0rNFO2cNxzAWHdXlV52td21APp29VY/BoV8yc2+M76DfwuKzfaE/vbaxCS+X+oavL2jpC6MJPg/OXnU6pbqTmufjvh8ZlsW/HPpTD0qnjV+n/5yCxvHloU2ch/Xv888/46bivPOzqkYy+iJOG79RD6IhGODiL5wEBbBTjR9W6zDpxaCl853vhQThgf/VkyqSM4KNbVq/Vzq3HBmSPBr5TSrqbL5CwRPv7n2rKUvP87TCGPc+2GZ0yL04sGbFrkDwLTjuHzy+nTzcYaLu/IYNWKT/nIIOESuqWFlJDUl0uWKtU6nBwDMPWz1ap7Z3tKo/OOhSBOfCSmDfnlNl9bJvZM/X1SR/Ecu/m2eaYU5gsIfAVXbfrs7LsQo7f+aXKgifZRnmPO/nN+rvBRcqv2dqIANLXi8r6VlqwaZTT2txxE+66ORatbtJJqqFJawevzn+du2b+AsVzA9KhTeen6f/7ILAOnYr4teftSxPcA0GWvjzEtfAWuqdVa9fXClWlunbyin3EBdGHk/ONUsMaCeOWBWIgm6/CG0FAt3EMuiDcvy5QXdInwcnebZJsGB+Y3Rr1/LF66AZuCGAzyeztug/I4hebQIKRppfUu3C8rbavmcsXNzuN5YOVZVVUjQLIkgTlmcjP7xferUfr9t/t3qH6w4f+kPaPZAkUHIawb2jZ3aWHveM0/d6tdOb4K7hdFLUiwOJYHFzszI6AA4ECyWVq4e38st+xYXyfydOS/8nZqm/MwzMvxDoE8FKIhV8Ay8ObiHPPPyh7P32sDzWeZJrEuuV24ybakcXnK5Jm6ICt1CYrEIRgz8j56qxx4tDWsrnyhoSwThhBdenfx3XMiTsYJzbISgc8T1CMC4KFygjKDiGj7HQgJHNpM/9s3U/8MG4tfrPKWinoeS8rsAZEyhYQ42d2U66t5uq3SR53YtdMVgoMJaziR5zOMvu93ciy7X7m5+10gCLmAj06hTU2cdfaOJpNV6i9LV6DIw+yLg+cKbh93e0/RjaAsT9QKwCt3YRz9fjyQZSq3E+v0WJ+bp4vbN4jL3s/aZznAA2iPtw6v9OaXZ4l3WbWO1z1N92zPSiTwDc+w9tLVhw9Grj0Wa8MeqeoP4VuxjeG2wZxfytrLm63jUmbCGmLe4ZCAAZbTsVNoM4noy0//WVtVJmwDjk9OnTrrsOTRoYU/247zdfxhFYIEF9hzIJUqGat89jnEfdxbtcPO8r/ecUE3g2UuMOezqYA2z78gddl+67472gLDDmfW5QC+n/+CyBP2cov5LqXRe4Jpr5uPMZYvndsXsVwVgG83rndw9ur7/bVkYOXqrH9HYZ/NISvQAMgQW1lxU1zjdtXV4efSF44SUoMcePaMbwkdRfLBh9/tluXf43lJHhsk93yJBJLcIVKXDOuDB8+cmPBDv5qtTsKOcmT5vTYx+T0kNFO2dNiWEsOioEED3/gnPkladm62/q8QemuD4G9BZ245302sYmulww1kN7CJeQ0Ui4Oh1Neom4J3ptrEdp4Kd14ift9PY3bJNApHooj9Hola98g8DBfv5i3goxKBK++rKs9of3SL/GrlvrPLIOOoyVefggjUUwaZ26sLsKBrBcvLaKwAk7ttCOfWeVLJm/TQ+G0TkWK3W1YGlsPAAAIABJREFU1FNbvpvdpRTFHnbcHXpUUA7dK8gEpUCy31ugyJXKP2cRaXF3OblABdizC/iOnt1Wls37XmZO/lw2b9inJwCGb6v2lQVKt9SWRJYr1jqV2iyc+aEeTZzbVQb3n68HBVnU9qlKSQUF76pUxcv15QNH3iNvv7pAK6b8dprOfPAblrDwc40BnZegcb+1xY0x15NOD1eUW++8Ue0aWKks+a2JKPJEXbypekG5p3P1qCK1w+ps9fJvtM81WP6h4xrz0d0y8/2vtKIbftYg111/udzWsrwOhGAE1rq4L1YpUeaMEqp6PcsSMdY0cX8jpZCDwn6qsqA2bSOeA9sGOzxUJTDoiSUvbDNfvLWXjij80dQN8oMKMoQ2qXT5PNKmY1JMCulIyoWBW6GiudVAd4luF6HQgC/bS7NHv5IFhVHdxiUFQcE8RSm46t5SSqqrCOGxCBS/U5Z0lCVz9uqFPQyaIKZ9b9KinDS8w32idOW1WfW9bu00rAJuU/f6cQcQrvyJYJHn+ov0dnAouisq34fhFkowyRs+qaO24Eddmzp2tX7POF6lhvr+u1QPUg6Gexa3c5jQLd7cSy34bJQFH23W9RhSoEguqdWwhGv/6JZOuGMDRjWTaWO2yaRRq3TZ8S02vK203PugcqGhmtCajfLIxaq+wjqqRv2iEVlKh8vX77m4tUNq0W3EG9HvPEpxLKSUEq++10TvlJqiFhxM24a6ULZCXjVZreBZ3xHNfujkltpSxd4u4t4iJa/Wi5+1b8kXgiyRY46QzCI4kKhyte1SVtX5sorvme8haKx5d/jdAGirsmZrJs8+8qE2VohFYunH+r9zi+zaVkPFKlgeND+of2upuPWBkT5bPN5ZvMZe6DdLlsmjdj5YuwEwnqrdqETQwiQm8uNHrNQ7LdrcVyambztSVvG8Hn3HzFVdZMGHu9R8cX1gbIf5U/M2FV371xGDFutdUlFJDO1UVPlFeFMk/W8kScM45AIEnVRjIy/BmAqxQML1+fZ74ZMcChK0QXUbhR8jw/0R6vWubX/Ke28u1vMgzFvxnhvfXk5uu0st7scoqEsfLOoqb720UBarufhp5dcYY14Y5NS82YqLMGTCvTLgmTnyzuuL1BysfZBRVTTz8RiLHLgdxl2Y12Msgu8AYx189xivt2hfwrou2NZI72jGYnYiJdIxfCT1FwtG4+e1C8xTIn0OuDBcsbCwXqQeMWilQOlvJD32MV7PF8uc1Q/DWHRUDZsXkAZNHlY7kkLH4OWUPu+OtpVC5/jptY1NcLkqK50HDBtM0PmzowgjEa5Oe9Wf1Dx+1n9K7BkeO3ZMRTNOfYVjaj408yIBEogfAWyngeU03ByM+DCxlqvxK3X4lLAtGhZ42PY0Yc79QVGlw9/pfvb1vktl1uQNEa/yu6fGo6lN4NUnF2ul4bMD75C6t12f2tmnan5wxwBLFljYQmFKSTsC8W6H0u5JmHN6IGDq0309a8u9D/n3K27Kzn4sPbxFliEzE8go/e/aZQfk0U7vC9yDDZvSKjO/kpifzbS7SMhu8R5zwukwgYxSf9MhOhYpgxN4qfdCbdQ25dPuEbvCzAiP7m2GmBFKzzKSAAmkOYH9+yzLP+MnLc0LFIcCHPnF8p9cWVlKIkAL5X+bwP69VqhgLIpkalHLx8f+/EdbGVetSWVxWr9rtkNp/QYyV/471ZZnWMGEc1mVuZ6YT0MCGYhABup/sSMHUr1ueOviDEQ/YUU1MRByX5ddLssZhelhwkoW54QzUP2N85MzORLQO56x48LpOiazoKHCOLO8ST4HCaQRgbzX59SN5JaN38uhfVZAiUBgizQqU6zZjh22TCdhAovFmh7vz9gE8t5gBdhbPM8KzoEgfv9FH4813cL4YOxW7dKmvPJ5mFo+8NMtjHRQMLZD6eAlZJIiIEDS6CFL5L7utcO6rMokj8vHIIEMRyCj9L8I2jxt/Bo97q+h4rBQwhNA8F4IXLLBjUBmlYxSfzMrfz5X2hJAAM06jYvreFSZUeLuwzgzQuIzkQAJeBOAr1f4KENApdtrv6kvjJcrB+9cE3Nm9eIfZdhrC7W/2so1CqS6z9LEPBVTjZVAK+V7f+mC7TrAKf4g0W7rjrUsibh/365/ZJRSJiEgDXzH4nkpaUeA7VDasc+MOf+rXL4+0nGq1GxQXBAIh0ICJJB+CGSY/ve0yMfTdsrooUu1z//b764Y6sM0/WBN25IoVpvWHw4Etody/fa7KqZtmRKUe4apvwl6fiZLAobAY883kM53jpO9O49LvsLe8doyIjEqjDPiW2OZSSCdEUBwhGvzXK6DR/32619ybd7L5OD+42EDXKanR7D7GEO5KiXdIK8Oa5aeisiypCEBBFQZMbVTIHBljssvkJOn/k3DEsUva+NzDiki0AqiiccSrTx+JfvfS4nt0P/eO0+NJ/79d5FaKnDa7feED4yXGmVhHiRAAmcIZJT+1/gsNiVH8GaM+ymhBOzvFGcR8PnxF5p4Bn4NTSHjHMko9TfjEGVJMzIB7CB4cXArvajWb1DDjPwoIWWnwjgECQ+QAAlEQwDRfAMRfaNJII3vwaCuUlJBad+1hhQscXEal4bZpzcCUKK+NrJpeitWXMoTLip9XDJgIr4JsB3yjYoX+iSQI5dQWeyTFS8jgdQmkFH6X+w+ql63iLRTY+Qrr6X6IFw9AasiJa9WuzqKyq0ti4S7NMOfyyj1N8OD5gNkCAKYK7buUFV++1kEY6/MImf9p8T+MMeOHZOLLrooszwfn4MESIAESIAESIAESIAESIAESIAESIAESIAESIAESMAnAQa98wmKl5EACZAACZAACZAACZAACZAACZAACZAACZAACZBAZidAhXFmf8N8PhIgARIgARIgARIgARIgARIgARIgARIgARIgARLwSYAKY5+geBkJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJZHYCVBhn9jfM5yMBEiABEiABEiABEiABEiABEiABEiABEiABEiABnwSoMPYJipeRAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQGYnQIVxZn/DfD4SIAESIAESIAESIAESIAESIAESIAESIAESIAES8EmACmOfoHgZCZAACZAACZAACZAACZAACZAACZAACZAACZAACWR2AlQYZ/Y3zOcjARIgARIgARIgARIgARIgARIgARIgARIgARIgAZ8EqDD2CYqXkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEBmJ0CFcWZ/w3w+EiABEiABEiABEiABEiABEiABEiABEiABEiABEvBJgApjn6B4GQmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAlkdgJUGGf2N8znIwESIAESIAESIAESIAESIAESIAESIAESIAESIAGfBKgw9gmKl5EACZAACZAACZAACZAACZAACZAACZAACZAACZBAZidAhXFmf8N8PhIgARIgARIgARIgARIgARIgARIgARIgARIgARLwSYAKY5+geBkJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJZHYCVBhn9jfM5yMBEiABEiABEiABEiABEiABEiABEiABEiABEiABnwSoMPYJipeRAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQGYnQIVxZn/DfD4SIAESIAESIAESIAESIAESIAESIAESIAESIAES8EmACmOfoHgZCZAACZAACZAACZAACZAACZAACZAACZAACZAACWR2AlQYZ/Y3zOcjARIgARIgARIgARIgARIgARIgARIgARIgARIgAZ8EqDD2CYqXkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEBmJ0CFcTp8wy/1XihJBQbI8FdXp8PSsUgkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAKZlQAVxunszf5y4F9ZuXiH5C+UUzr1qJLOSsfikAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJZGYCVBins7c7ecxqOfbHCXnw0XqS9bx0VjgWJyICr/ddqi3F8X+KPwJrlx3QzLq1mebvBl5FAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiQQVwKJURj/KzJu6EZpXW+0Vv7gD//GsRPHw5d/4axvw18Q57NQTKWo1Dst0qHJRH3dkw/MiXMJziT35xGRZZ9slwZNS8lNta9JWD5MmAS8CAx+YaWu5/g/JXUJrFt2UAY9w8WF1KXO3EiABEiABEiABEiABEiABEiABEiABJwE4q4w3rDykNQp/Ya89+YS+eG7XwP54d841qD8IJk5cbuzHIHfWbNlkd4dZ3qeT4sTw19fLd9s/0kuzXGBPPLMzQkrwoxJG+Wfv09q62IKCaQFgV07Dups163aLf+eDC3BT9+flJFvfu56LvRqHvFLYP+eE/J87+nyr1pso5AACZAACZAACZAACZAACZAACZAACZBAWhKIu8J47LBlcuLvU1q52qlHLRk3+wGZOK+r9Hq6keS86mI5dfK0vPXSAtm24TfX567VOJ/8+5+kGwtHlHPK2LW6rA/2rieXXxV3ZAEO9z5UTuZ+3jWhebhC50ESSCbQ5M4b5aJLzpU77q4kZ2cLxgJlcYs6b8qi2Vvk9CkiixeBE3+JPPnQZPn9N/UPCgmQAAmQAAmQAAmQAAmQAAmQAAmQAAmkMYGs8c5/6KSW8t6gdXLfI5WCks5XqITUb1JC2jV9Vw4d+F0+mrpBSpR3t6Rt1LS0vNhnltRuVEJdkyPeRfSfnnJFMej5uVrJXb1eUWl8ZyH/9/JKEsiABOo1vUHqNe2eAUuecYv8dLeZsuebwxn3AVhyEiABEiABEiABEiABEiABEiABEiCBTEUg/uayZ0mIstgQu/gykYpJN+ifB3886gmycvX8ykL5fJkwIm39qI55e4N2RXHl1ZfKEy/d4lleniABEiCBaAi88dxyWbN8dzS38h4SIAESIAESIAESIAESIAESIAESIAESSAiBuFsYp1TKLFlS1lFfmF2kWKlrZeWir2Xzul+kdKUrUko27ue/3X5Mxr2zQqf7UJ/6AmW3lyBY3dh3VsmS+dvk8ME/tTuOshXyyr0P1pCCJS4Ouc1s7X/s+VukSZuiIspv6TsDVsunH2/R98N1R5uOSdKifYmQe50HZk74ShbO2SrbtxzQltDFSl0tjZqVkWZ3FRdJRv1636Uya/IG562uv/PecIW8PKyNPN1tsrZ6fH3kXXJTzatdr8XBKSO3yNBXPpGqtQrLq+810dchvy0bv5fxH7cTySLy2cL9MuKNRTo9sKlet4hy71EnwHTXtj9lzNvLld/cXcrVwX9SsWp+zTxPwQsC+c6etENe6zdHylW+Xt6acIdneU7+LXJ341Gyf98Refv99inWHfMuPBN0nOj+VEO5s31Jv5eHvQ6+uqEsrFyjgAwY1Szo2r9+F5k2YaMs+GhzwBd4gSK5pGHTstKqUynXdO3PMuXT7nL82AkZNuBT2bxhn74edaNJi3LS8I6CIfc768iDj9WTNveX0dfZmeI32NYqOSCQxrV5LpMJcztKtvODk4U/8xmTPtfv1bipCfddOAt16h+RT2Z/42nZv2/XXzJ80JJA+vhubqpeUNqp7+7Ka0Obtknvfinjh6+QiXMekiuuPlt2bvlDuceZp+rqD3Lu+VmlUlJB6fJw7UC9O7T/lIxV9XKFaofgLqJUueukc6+6Uvqm+LRH08duk+kT1uv3n/2yi2T+zC+dCPibBEiABEiABEiABEiABEiABEiABEiABFKdQKhWJcFF2LPrkM4BislwUry0pTCGMrR0pVrhLk3Iudf6fawVsA2alhL4VfYSKEyHD1ykrzUC5dKyT3fov/pNSkq/QQ1db18we7NSQuWRfr2mBW1Jh9L4rZfmawXSyOltQ3zJIrGFs76VV/rO1oo4u0BxjL+3+n8i/Ye2lCp1rnHN2+sgfNfmueFcqawUb1DwLp77VViF8Zrl3+ikqtYKVkLi3o+n7ZTdOw9qpZgRsPl42hcyf9Zm6TeguSrrfpkyek1QcVYv2yXrP9sjD/dtZCnU1dlqdYvKsNcXauXn3p3HJV/hC10fYeO6A1qhmb9QTildPnwdc00gzEGk2bx1fJTFxrIUab44JFhZPG3MNv3+nbL765+1ch6W9yOmdpJr85/rvCTwu2+PD8QEsDMHoRjF39hhl8lb4+91Vap6JhjBCSh62902VvZ+G+xmwf5d3H53Ren1TA3PVLdv3S+3Vh0qhYvndlUYv/L4Ipnz4aag+/HdfPzBF/rvzntvku59q4Wkf+yPEzJzyga5+JLzNEsj+I5WLNyh/x56vIFky3q2DHn106DvGuy6th0jrTtWka5PVA1JO5ID65Yd1Omb9z99IpXFkfDjtSRAAiRAAiRAAiRAAiRAAiRAAiRAAokjkKoKYyj6tm8+oJ+mfBXLNYXXo11fMKc+tUEpDk/+XSvEetHrvngcHzN4g3z15X7tiqLnkw08k5w5cXtA6QTF8gMP19OWi3/9ITJ+xBqtCP109lbJnuNCV+UVWNzX4j0pUuIaGTWjuRQudYn8e1Lk3Tete+EOY8KIjYJgeHZBvgOfnasPla2YT7o8UleKl7N8Pe/b9Y+MG7Fcjv1+IqAsfvSFWoI/L3m253xZNGebthJu1raYvgxWylPHrVOK291y/Gg9gdW3U2DRCgUugqRBoeuUV5+era2lobiu3jCPiNKpTxu/TVmFLtSK7n49p0nWbFmkbeckub9nZa0Yh0X5y098pJW+44avlLq3FJULLhHJkUspjesU1Ur0RfO3S6fCFZzZ6d+rFu/U/4fCG9bNKUnuvNlk1e7enpehPI/eN1FOnvxXuj/RSLKe53mp7xPGshTW1v2HtpZzzxhS6zRqNyomk0atkjo3l5Db76okKCMEZRmgrKyhiAW70TPbej7jvr2/SI+nGkmLe5SVuuKAdzVt/Fpt8Qu2ve+fKKNntAs8j6kj/R9bKPNmBCsvYTk8ZUlHgSV4+6bDJfd12WX4pE5yeW7lf8ZFwCipdiE574Jsytq3uvr3dboM9u8CiwiFirorg5Ek6ke9xiXl8VfqhuTwbI8FsmjuVm0V3EV9c+YZfznwr+L2mX7GD8atlXPOySJd+lQJuX/csOX63keebRyo78vmfa8WWeZrC3+jSMY3je8fuwvQdr3+7Bz58vN9iuM6ady8jOeiRUiGjgP795yQ53tPlwsvOtf1/ad0P8+TAAmQAAmQAAmQAAmQAAmQAAmQAAmQQCIJpOwfIo65fzhxvbbYK1Qst9SsrxSIYSRvfkthDOXWN9t/C3NlfE/5dUXx68F/ZeRbS3XmsJbs+3oDrSyGQMHZpXdl6abcKkCgwILCySlgAbcVQya10MpiCJSmuPf2thX1b2znt4s93+Z3VdT3GmUxrstT8DxdFuMeIuhmlx+wdFz2yQ7tKqLn040CV8CCt3T5PPLrz8dk8bwdLneKLFfWmHiGKjULaYWuU2A9+f68LpayGCeV0hBuNh5/wXJdgUNghOfFc0PgfuSV4a21EhrBEVcv22OdUP+t01i52VCy4tOvtPLZKXCdgAUGSP0mpZ2no/o98d2V8vdfJ6V5mwpSvtqVUaVhvwluGmBZCkV5vwG3u1oJX37V2TJzVRd56MmkgLIYaYDNO5Pb6YUMLCasXWktvrgVasyMzpZLk2SlOZTOsLh9Z3IHzRYW4O+P3Bhy6znneq8hXXSxpS3PctbZckl2d2WxSRCK2pEz75KkepayGMfNd3HvA9X1ZXDBYhfU7XeViwlIqfLXuSqL537wjVYWo76O++jBoGfE94dnfHFwC53GLBVYE0pkp+DeUdM7B5TFOF/z5rzyinLFYsR808YVDb6HgSNbCtxvoM5j0SIaOfGXyJMPTdbuQrzefzTp8h4SIAESIAESIAESIAESIAESIAESIAESiBeBVFMYQxFrtpDfrSxKU7L+tPs63qz84aaG/Ke8OwxR29SNe4mjyn2ClyxUFrnYYg8F0kOPuW+tv71dCa34Qnpe/knrNHL3U1y5RiGd9ZGfj2sfskY+GLtG5wtl7MP93PP1KrPz+Amlw37j+bm6fJ161ApSTuLaOo0sBe1nS4OV1iYd444CCmM3KVUur1YSOqVE2TOLBVWUVbNT8hW6QFtdQ34+qMy1k+Wmalfr54ayc/OGX5y3iXFHUbz0NXJDsYtCzkd6AO5G4GMYeT7YO9S9QaTpQVk4+OX5mnerdjdJpZpXRZqEtnY1gSP3fPOz5/3ZzknWwDuuKFomuzS+/UZ9dPVSyxrbM5EEnah3i+XW49CPvwfV7Wcfnq4V4ZAsZ7ubh8+d8YU+37lXbVdlO85BSQ1rebifWDRvm77eLvkL5hLUMafkL3iJ/p4hlWuE+nk+V3lBqaT8DUOO/nrMebuv3093myn7vjsizw66I6r37ysTXkQCJEACJEACJEACJEACJEACJEACJEACMRBINYWx8QkMRU44n8DmWa7IlS2gvDnwQ+ItjE/8c0pGDl4vG1afsWiFBTGsHt1k8wZLiV32pnxh3WWULKMsLJXs3H7QLRnPY9dcZ7mYgIX1Lz8rPxXJ8uXnVr7V6ytlrrtOzTNN54nB/Zdo9wR2VxT2a+rcXFQuz3WRsnLeHWIhbdxRwNq1Ss38zqRj/n1tXpcog+p59XMrcfqvxTHjjsJNCR1pgfZ+85fy9btMWwLHxRWFsoiGshDK7vJV8ru6SnAr45I5e6XH3R9KzaKDJKnAAOnQZKJsWrtXXxrtd2EWI1AnD/8Y7APbrQyxHEM9GfLSKmmWNFyXv3GFt+WVp2bpJJ11u5my4n52oHdAQyw6bdnwg6cLFHs5CyrfxzqP73+Npfgh916Z+9KQY34PGL/VsKqv2ejMoonf+3kdCZAACZAACZAACZAACZAACZAACZAACaQGAe/953HM3fgEdro98JvFr4ejs+bzmz6uMxbAsCbt1L22vNr3Y23Ji0BrcPHglCOH/9SHrst3ufNU0O9LL7OCsx0+9If2T2xcL4S9yeMkLFSPHLFcWxQtYSnEPC5N8fDSuXvlo6kbQ1xR2G+E3+KKVQtoNssXfq18tp7xpWzcUdxY6XpXK+IUCxDlBXWVf9+JKujbF+u+0z5xjQWzcUcBBW+NekWiTP3MbS8/+ZG2UEXwtFhdURz55bg8+8h8ba0MObj/qMC6GxarXgJXIfBzizpoF2OB63Wfn+NmMQKWzn/8/o/kvCZ2a2y3fJ/pPk+5M1HuQ2yC54EfYDepfUs+WbvM283G4Z8ta3O8l1urDHBLIt0eM36r4eoCOw8oJEACJEACJEACJEACJEACJEACJEACJJBeCSRcYWz3CXx352ohbg/8gDn2xz9+Lov5GmNNCgXhr7/U0oHlFs/9ShrdViZIaQjl5O+/2fxE+Mj5tAqadloZc8aiMD5y+KT89MNRnVuWrNEbh8Nq+vXkoHlurijsj3PLHWW1wnjZJ9vl3q5KYZzsuta4ozB+hX0giMsl8CVbKamAfKbcKSyet1NubWW5tDDuKMpVvj7qYGSmgMNfXa2DHsbLFcUK5esZUrCo5YJi146DMmLQStdAiLgOyuI+D0zSrivy3ZBTujxaJxA4Dj55X+s3W/l2dncTEilkKGHj4b7DmW/vjjO1ghzfFPw/t7jnpsC3D6tpBO2LVMK54PBKK5bvxCvNSI/jfcJvNQTB/vDnJbMmbxD8NW1dPmygSq/7eZwESIAESIAESIAESIAESIAESIAESIAEYiWQcIWxcUWBbfitOpWKtbwJvd8e2KxZ22LaxyuUXsMGLJTRVdoGXEBkO1/kslwX6i31fuX8C8+RbFbMML+3hFx3yaXZtIsIBKKLRQY+N09brnq5orCnXbr8FVpxCiXn5vW/6MBrxh0F/L2Wq3R1LEWJ6t6qtQpqhTFcUBiFsXFHYdwtRJWwumnbht9kyti18XNFkVwQMBw+9W75af9f0qXVSB0IsbbyX12ivOV6JFBe5bri7dcWaGVx/SYlpd+ghkGPgsBuuWJwi+DkkjOXi5Np50UR/p49aYf+brCjoP/QlrrO2KVoScs/dYTJSq6rrLKi3k2Y2zGsK5hI007k9SsXW8EhE5kH0yYBEiABEiABEiABEiABEiABEiABEiCBeBFIqMLYuKKAlWG3x0PdOvh9iLw3BCuc/N4XyXVu1qRd+zSQrZt+0IG4xry9Qdp3Lx9I8tLslj+BQz/9HjYbcx7KM2OdG/aGMCcvVO5TL7vcUhjv3nFIbqoZubJ25sTtAotX3+5BlN/gOjeXVL53l8jCOVuV8q+Wck9hKcCq1imcJkq7urcUlXHDV2rfylBew9/1hs/2aN+2dW+Ofrv/KWXI/lq/j7SyNh6uKMyr1MriKe3kXFUFEGytZbsqMmrwUhVgcYGM+LB10BvfsOZn7ecYCwPdnwxWFoepGhGd2rPrkL4evC67Iv7uKJYs2K7Tb9qqfIiyOKKCOi7OfY2lXD969LgcUx5hcqiFm4wg96uAki3vrRy2qFPGrNYuYqrULCidH64rOdX7p5AACZAACZAACZAACZAACZAACZAACZBAWhCI3q9BCqW1u6Jo1e6miLe9//ufyOn/rIBzFyrr3ERLqXJ5JavDAtgo95D31LGrBYHQjBQpYSlrNylfuqKsQl1FHdfnlZS4MQ5BrpQ7iOJlrtXprVz8tWuW4Q5CuYpAfpCUXFHY04FPYCj91yzfJft2/aP+/40+Xb1u7L6Cw5XX6xz8FsN3MhS7n368Rdav2q+tvUuXyyewwI1Whg1YqZW1bosH0aaJ+1C3jK9l/G7ftbwUKpZbu72AAt8up05ZQejy5LtCsidonWTJAsuvcOHiV0uOXJE/2UG1SHL0iHewvNOnrO+2ZDkr4GPkOYhSCCvtvWoD7FKoWA4dCBM+jBfO3RpNsmnzr1r+AAAKVUlEQVRyzyXqPV5X4Lywf9ckB3mE9ThchOAeCgmQAAmQAAmQAAmQAAmQAAmQAAmQAAmkBYHotWsplNa4ooBirMujVVK4OvS03V/vtUp55hT4Ee7QZKIkFRggQ/uvcp6O22+j3IOS6p0BiwLpNm5eVltoQsE4fcI21/wmj9qsz+O6hk3i446jofKnDOUtlI2j3/rcNV+vg4Oen6NdUVSuUUDgcsOvGL/Bhw78LgOfnyubN+zT/nhLVwx9L37TjPU6+FaGzP5go4wZtlz/O0lZPEcr8DMLNxFg2/WxhiGLB9Gm63qfstq+/+Ha+hQU+PApbSRrVsvo/8D+33RQP6fs33NCu+OIVtYu+VH75YbUvzWyOpk161maDxT1X23xDk5n/Abv3PaTazGnv7/O9TgOXnyxZTb83e7D8u2OY0HXwRVMg6al9bFxw1YELeB4JphJTmBhoWbRQdIsabigDlBIgARIgARIgARIgARIgARIgARIgARIIFEEEqIwNkHDUGgEIfvhu3/kh93uf14Pdvr0GSVasVKhPk9nTtmqXUVAPlRBpA7/6G3x6JWHr+NKufdg73paUQZF3dK5e/VtsGS9r7ul9ENAq8EvrBQEJIP8qVwbv/DoJ8oXrRXoCi4Irs1/rq/sUroIPm/haxkyesgy6dZmmmxZ/2vgNlgAI+/GFd4OlAcnp4/dpv3Knn9BNml7f7WUsgk5D7/BkI1r9miFYdU6yro4OQBeyMWpcMD4VoYS++utB7QLh9oNo1MYn1CG48ZvcM0GRaVSTSs4XSIfA+5EGjQtpRX4w15fGMiqfOVc2sIZz9W3+4yAcvDfkyKTRmySe28bJocPKn8MSv467q047H3/+7J53S+BdFEvnuk+Tx693wqmh0WDxncWiugRc16TVQcchLz10jxZsWCfdb+ypP9i9c+BtGo3tBYjxo9YEWRBvXPLH7q+Thm9JnCt8xmMFTHq2FMPTZWvvrCCPJob4BYGZQe3drcND/rucA2+hUfazZCe90wP5JHR/4F3/+GEdfq7w7ufNmFtRn8klp8ESIAESIAESIAESIAESIAESIAESCAdE4i7D2MTNMw88+RRqwV/XjJtcU/JnTdbyOn9+ywlKJRnNxQO9ed5/vln3FScd35WpdCN+6MEylS+2pXSuHkZ7WN0xMDFys9oRzlXuTC+vV0J+enAUa0A+2DcWv3nFPjCtfs+dp6P5nf3vtWU1fJ5WmG8af1eebDNaNdk1qzYpYPCwZXGe4OX6Gv+/uukdL1rjOv15qDbO6lzc1EZNXRZIOBerfpFw6aR8JNKkV+9fnFlwb1MZ1XupuvlwuzR5Tr4pSXaEhyyaM42/eclTVuXl0dfqOV1OqLjDz5aT9YqJf4ns7ZIPeV7+abaamFEPRcsnPs8MEn5aP5WWtUfHJRm9XpFpVnrCtK351RZvewb2fN1NclfxPKnbb9w77eHPd9zmQp55NVhzSIqq7m42xMNZNuXP2jF5ZNKoWsEFudjZt+tFxGatCmqXaZggWLgs3P1n5Fz1bf64pCW8rnyP43v6cOJ66RP/zqB87AibvdgdXml78fazUjnO9+T10feFeSve8DIZtLn/tl6Acfru8t51cV6kQquIDK6nK2atnPOOdO+nXdu4tq6jM6K5ScBEiABEiABEiABEiABEiABEiABEoidQNwtjEcqxSQs4WKVPd9YFosVqiqLRqVEcwoUoXBLAAXUI/0aR+WL1ZlmuN9dHqktV159qVZijRi0MnDpQ08myfRlveTWFjfqQHIQ/B+/cRzK3URIhx4VZM7a3tKyfWWBcgwCK+giJa+W+3rWlk839tbKYsiIQYu139dYBMpY+NWFlCp/XcQ+qWPJ2+veEmXOWJ5Xr+ffxYY9va82/qYVl2khl191tvYlDYGVMYLuQWDhPHFuVx0ADe8UdRyK4mGTOkj/d26RCtWvlIEj75H8BXPJG8/Pcy36m2PukYdUoMnrrr9cn0calZJuUPfdLUMnt5SzozR4h6X8+/O76vKgbBDkkb+wcoZs8zk8YFQz6fFUo0DdxDWol4s395KajfJI75dqS9vOSSoA49eydlmwe4uGdxTUz99IuZ8w31TQQyql9KvvNdE8UA48GwTX1lQLGXj2mau6ZAplsX4w9by9+t6sWeIddu5VNQgHf5AACZAACZAACZAACZAACZAACZAACZBAPAmc9Z8Se4LHjh2Tiy4KteiNZ6Z+0nr+4QWyZP52GTqhvcANAyXtCbzed6nMmrxBK/7ufahcmhcIQfxa1HlTK/InzLk/KLBcmhcuDQpgeCBrNyvxNCgSsyQBEiABEiABEiABEiABEiABEiABEiABEshgBOJuYRyX51cGyru/PqgsLAtRWRwXoPFJ5NfDx7RVaaTB0uKTe2gqR36xgqJVrlHwf15ZHEqHR0iABEiABEiABEiABEiABEiABEiABEiABEggcgLpUmG8ecMvsu+7I9KxW83In4h3JITA2iU/Kp+0u6R0+TyuPqcTkmkKiY4dtkxfkVQnumB3KSTP0yRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTwP0cgXUZPmj1to3TrUz9d+Mn9n6sRjgf+5cC/MmnUZzJj0uf6TJuOSWmOZPXiH2XYawsFgd0q1ygQFBAtzQvHApAACZAACZAACZAACZAACZAACZAACZAACZBABiaQ7hTG65YdlEsuOV9ub1ciA2PNHEU3PovxNAgs9vgLTXRAtrQSu49elAEBwF4d1iytisN8SYAESIAESIAESIAESIAESIAESIAESIAESCDTEUh3CuMsWc6SHv2qZzrQGfWBrrv+crmtZXlp1alUungEKK4rJRWU9l1rSMESF6eLMrEQJEACJEACJEACJEACJEACJEACJEACJEACJJBZCJz1nxL7wxw7dkwuuuiizPJ8fA4SIAESIAESIAESIAESIAESIAESIAESIAESIAESIAGfBNJl0DufZedlJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACcSRAhXEcYTIpEiABEiABEiABEiABEiABEiABEiABEiABEiABEsjIBKgwzshvj2UnARIgARIgARIgARIgARIgARIgARIgARIgARIggTgSoMI4jjCZFAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAlkZAJUGGfkt8eykwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEAcCVBhHEeYTIoESIAESIAESIAESIAESIAESIAESIAESIAESIAEMjIBKowz8ttj2UmABEiABEiABEiABEiABEiABEiABEiABEiABEggjgSoMI4jTCZFAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAhmZABXGGfntsewkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkEEcCVBjHESaTIgESIAESIAESIAESIAESIAESIAESIAESIAESIIGMTIAK44z89lh2EiABEiABEiABEiABEiABEiABEiABEiABEiABEogjgf8Hk4n4GcGIwB4AAAAASUVORK5CYII="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image-2.png](attachment:image-2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Złożoność"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Implementacja #1\n",
    "###### Obliczeniowa\n",
    "$ O(n \\cdot log(n)) $, gdzie $ n $ - liczba zleceń (potencjalnie pierwsze zlecenie, jakie wykonamy, może nam odblokować wszystkie pozostałe zlecenia, więc $ n - 1 $ zleceń będziemy wrzucać do kopca $ available\\_heap $.\n",
    "###### Pamięciowa\n",
    "$ O(n) $\n",
    "##### Implementacja #2\n",
    "###### Obliczeniowa\n",
    "$ O(n \\cdot log(n)) $ - wynika to stąd, że możemy mieć każde zlecenie o innym wymaganym kapitale, przez co, będziemy mieli kopiec $ n $ kopców 1-elementowych, więc złożoność jest taka sama jak wyżej.\n",
    "###### Pamięciowa\n",
    "$ O(n) $"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Implementacja\n",
    "##### Dwa kopce - Min Heap i Max Heap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import operator\n",
    "\n",
    "\n",
    "class Heap:\n",
    "    def __init__(self, values, operator):\n",
    "        self.op = operator\n",
    "        if values:\n",
    "            self.heap = list(values) # We make a copy of values in order not to modify them\n",
    "            self.build_heap()\n",
    "        else:\n",
    "            self.heap = []\n",
    "    \n",
    "    def __len__(self):\n",
    "        return self.heap_size\n",
    "    \n",
    "    @property\n",
    "    def heap_size(self):\n",
    "        return len(self.heap)\n",
    "    \n",
    "    @staticmethod\n",
    "    def parent_idx(curr_idx):\n",
    "        return (curr_idx - 1) // 2\n",
    "    \n",
    "    @staticmethod\n",
    "    def left_child_idx(curr_idx):\n",
    "        return curr_idx * 2 + 1\n",
    "    \n",
    "    @staticmethod\n",
    "    def right_child_idx(curr_idx):\n",
    "        return curr_idx * 2 + 2\n",
    "    \n",
    "    def insert(self, val: object):\n",
    "        # Add a value as the last node of our Complete Binary Tree\n",
    "        self.heap.append(val)\n",
    "        # Fix heap in order to satisfy a min-heap property\n",
    "        self._heapify_up(self.heap_size - 1)\n",
    "        \n",
    "    def _get_root(self) -> object:\n",
    "        return None if not self.heap else self.heap[0]\n",
    "        \n",
    "    def _remove_root(self) -> object:\n",
    "        # Store a value to be returned\n",
    "        removed = self.heap[0]\n",
    "        # Place the last leaf in the root position\n",
    "        last = self.heap.pop()\n",
    "        if self.heap_size > 0:\n",
    "            self.heap[0] = last\n",
    "            # Fix a heap in order to stisfy a min-heap property\n",
    "            self._heapify_down(0, self.heap_size)\n",
    "        return removed\n",
    "    \n",
    "    def _swap(self, i, j):\n",
    "        self.heap[i], self.heap[j] = self.heap[j], self.heap[i]\n",
    "        \n",
    "    def _heapify_up(self, curr_idx, end_idx=0):\n",
    "        while curr_idx > end_idx:\n",
    "            parent_idx = self.parent_idx(curr_idx)\n",
    "            if self.op(self.heap[curr_idx], self.heap[parent_idx]):\n",
    "                self._swap(curr_idx, parent_idx)\n",
    "            curr_idx = parent_idx\n",
    "        \n",
    "    def _heapify_down(self, curr_idx, end_idx):\n",
    "        while True:\n",
    "            l = self.left_child_idx(curr_idx)\n",
    "            r = self.right_child_idx(curr_idx)\n",
    "            smallest_idx = curr_idx\n",
    "\n",
    "            if l < end_idx:\n",
    "                if self.op(self.heap[l], self.heap[curr_idx]): \n",
    "                    smallest_idx = l\n",
    "                if r < end_idx and self.op(self.heap[r], self.heap[smallest_idx]):\n",
    "                    smallest_idx = r\n",
    "        \n",
    "            if smallest_idx != curr_idx:\n",
    "                self._swap(curr_idx, smallest_idx)\n",
    "                curr_idx = smallest_idx\n",
    "            else:\n",
    "                break\n",
    "        \n",
    "    def build_heap(self):\n",
    "        for i in range(self.heap_size // 2 - 1, -1, -1):\n",
    "            self._heapify_down(i, self.heap_size)\n",
    "            \n",
    "            \n",
    "class MinHeap(Heap):\n",
    "    def __init__(self, values=None):\n",
    "        super().__init__(values, operator.lt)\n",
    "        \n",
    "    def get_min(self):\n",
    "        return self._get_root()\n",
    "        \n",
    "    def remove_min(self):\n",
    "        if self.heap_size == 0:\n",
    "            raise IndexError(f'remove_min from an empty {self.__class__.__name__}')\n",
    "        return self._remove_root()\n",
    "    \n",
    "    \n",
    "class MaxHeap(Heap):\n",
    "    def __init__(self, values=None):\n",
    "        super().__init__(values, operator.gt)\n",
    "        \n",
    "    def get_max(self):\n",
    "        return self._get_root()\n",
    "        \n",
    "    def remove_max(self):\n",
    "        if self.heap_size == 0:\n",
    "            raise IndexError(f'remove_max from an empty {self.__class__.__name__}')\n",
    "        return self._remove_root()\n",
    "    \n",
    "    \n",
    "def max_profit(C: 'array of costs',\n",
    "               P: 'array of profits',\n",
    "               W: 'initial amount of money',\n",
    "               k: 'max number of jobs'):\n",
    "    n = len(P)\n",
    "    awaiting_heap  = MinHeap([(C[i], P[i]) for i in range(n)])\n",
    "    available_heap = MaxHeap()\n",
    "    max_profit = W\n",
    "    \n",
    "    for _ in range(k):\n",
    "        # Add all available jobs to the Max Heap of available jobs\n",
    "        while awaiting_heap and max_profit >= awaiting_heap.get_min()[0]:\n",
    "            p = awaiting_heap.remove_min()[1]\n",
    "            # Insert only profit as cost doesn't intrest us since we have enough \n",
    "            # money to unlock such a job\n",
    "            available_heap.insert(p)\n",
    "        # If there is no job available, break the loop\n",
    "        if not available_heap: break\n",
    "        # Else, choose the most profitable job of jobs available\n",
    "        max_profit += available_heap.remove_max()\n",
    "        \n",
    "    return max_profit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Kilka testów"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n"
     ]
    }
   ],
   "source": [
    "C = [0, 1, 1]\n",
    "P = [1, 2, 3]\n",
    "W = 0\n",
    "k = 2\n",
    "\n",
    "print(max_profit(C, P, W, k))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Implementacja #2\n",
    "##### Sortowanie + kopiec kopców (Max Heap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "class MaxHeap:\n",
    "    def __init__(self, values=None):\n",
    "        if values:\n",
    "            self.heap = list(values) # We make a copy of values in order not to modify them\n",
    "            self.build_heap()\n",
    "        else:\n",
    "            self.heap = []\n",
    "        \n",
    "    def __str__(self):  # A 'complete_tree_string' function is required in order to ensure that printing works\n",
    "        return complete_tree_string(self.heap)\n",
    "    \n",
    "    def __bool__(self):\n",
    "        return bool(self.heap)\n",
    "    \n",
    "    @property\n",
    "    def heap_size(self):\n",
    "        return len(self.heap)\n",
    "    \n",
    "    @staticmethod\n",
    "    def parent_idx(curr_idx):\n",
    "        return (curr_idx - 1) // 2\n",
    "    \n",
    "    @staticmethod\n",
    "    def left_child_idx(curr_idx):\n",
    "        return curr_idx * 2 + 1\n",
    "    \n",
    "    @staticmethod\n",
    "    def right_child_idx(curr_idx):\n",
    "        return curr_idx * 2 + 2\n",
    "    \n",
    "    def insert(self, val: object):\n",
    "        # Add a value as the last node of out Complete Binary Tree\n",
    "        self.heap.append(val)\n",
    "        # Fix heap in order to satisfy a max-heap property\n",
    "        self._heapify_up(self.heap_size - 1)\n",
    "        \n",
    "    def get_max(self) -> object:\n",
    "        return None if not self.heap else self.heap[0]\n",
    "        \n",
    "    def remove_max(self) -> object:\n",
    "        if self.heap_size == 0:\n",
    "            raise IndexError(f'remove_max from an empty {self.__class__.__name__}')\n",
    "        # Store a value to be returned\n",
    "        removed = self.heap[0]\n",
    "        # Place the last leaf in the root position\n",
    "        last = self.heap.pop()\n",
    "        if self.heap_size > 0:\n",
    "            self.heap[0] = last\n",
    "            # Fix a heap in order to stisfy a max-heap property\n",
    "            self._heapify_down(0, self.heap_size)\n",
    "        return removed\n",
    "    \n",
    "    def swap(self, i, j):\n",
    "        self.heap[i], self.heap[j] = self.heap[j], self.heap[i]\n",
    "        \n",
    "    def _heapify_up(self, curr_idx, end_idx=0):  # O(log n)\n",
    "        while curr_idx > end_idx:\n",
    "            parent_idx = self.parent_idx(curr_idx)\n",
    "            if self.heap[curr_idx] > self.heap[parent_idx]:\n",
    "                self.swap(curr_idx, parent_idx)\n",
    "            curr_idx = parent_idx\n",
    "        \n",
    "    def _heapify_down(self, curr_idx, end_idx):  # O(log n)\n",
    "        # Loop till the current node has a child larger than itself\n",
    "        # We assume that when we enter a node which both children are\n",
    "        # smaller than this node, a subtree which a current node is a\n",
    "        # root of must fulfill a max-heap property\n",
    "        while True:\n",
    "            l = self.left_child_idx(curr_idx)\n",
    "            r = self.right_child_idx(curr_idx)\n",
    "            largest_idx = curr_idx\n",
    "\n",
    "            if l < end_idx:\n",
    "                if self.heap[l] > self.heap[curr_idx]: \n",
    "                    largest_idx = l\n",
    "                if r < end_idx and self.heap[r] > self.heap[largest_idx]:\n",
    "                    largest_idx = r\n",
    "\n",
    "            if largest_idx != curr_idx:\n",
    "                self.swap(curr_idx, largest_idx)\n",
    "                curr_idx = largest_idx\n",
    "            else:\n",
    "                break\n",
    "        \n",
    "    def build_heap(self):   # O (n)\n",
    "        for i in range(self.heap_size // 2 - 1, -1, -1):\n",
    "            self._heapify_down(i, self.heap_size)\n",
    "            \n",
    "            \n",
    "def quick_sort(arr, *, fn=lambda x: x):\n",
    "    _quick_sort(arr, 0, len(arr) - 1, fn)\n",
    "    \n",
    "\n",
    "def _quick_sort(arr, left_idx, right_idx, fn):\n",
    "    while left_idx < right_idx:\n",
    "        pivot_position = _partition(arr, left_idx, right_idx, fn)\n",
    "\n",
    "        if pivot_position - left_idx < right_idx - pivot_position:\n",
    "            _quick_sort(arr, left_idx, pivot_position - 1, fn)\n",
    "            left_idx = pivot_position + 1\n",
    "        else:\n",
    "            _quick_sort(arr, pivot_position + 1, right_idx, fn)\n",
    "            right_idx = pivot_position - 1\n",
    "        \n",
    "        \n",
    "def _partition(arr, left_idx, right_idx, fn):\n",
    "    pivot = fn(arr[right_idx])\n",
    "    \n",
    "    # Partition an array into 2 subarrays of elements lower than\n",
    "    # pivot and of elements greater than a pivot\n",
    "    i = left_idx\n",
    "    for j in range(left_idx, right_idx):\n",
    "        if fn(arr[j]) < pivot:\n",
    "            _swap(arr, i, j)\n",
    "            i += 1\n",
    "    \n",
    "    # Place a pivot element on its destination index\n",
    "    _swap(arr, i, right_idx)\n",
    "    \n",
    "    return i  # Return a pivot position after the last swap\n",
    "\n",
    "    \n",
    "def _swap(arr, i, j):\n",
    "    arr[i], arr[j] = arr[j], arr[i]\n",
    "\n",
    "            \n",
    "def max_profit(C: 'array of costs',\n",
    "               P: 'array of profits',\n",
    "               W: 'initial amount of money',\n",
    "               k: 'max number of jobs'):\n",
    "    n = len(P)\n",
    "    max_profit = W\n",
    "    # Create array of cost-profit pairs\n",
    "    CP = [(C[i], P[i]) for i in range(n)]\n",
    "    # Sort this array by cost in order to have elements of the same\n",
    "    # cost one near to another\n",
    "    quick_sort(CP, fn=lambda cp: cp[0])\n",
    "    # Build max heaps for each cost\n",
    "    heaps = [(CP[0][0], MaxHeap([CP[0][1]]))]\n",
    "    for i in range(1, n):\n",
    "        if CP[i][0] == CP[i - 1][0]:\n",
    "            heaps[-1][1].insert(CP[i][1])\n",
    "        else:\n",
    "            heaps.append((CP[i][0], MaxHeap([CP[i][1]])))\n",
    "    # As we have all heaps sorted by the cost required, we can easily decide which\n",
    "    # heaps to consider in a particular moment. In order to choose always the best\n",
    "    # value and make the least checks, we can use another Max Heap to in which we\n",
    "    # will store currently available jobs.\n",
    "    jobs = MaxHeap()\n",
    "    heaps.append((float('inf'), None))  # Add the sentinel value\n",
    "    i = 0\n",
    "    for _ in range(k):\n",
    "        while max_profit >= heaps[i][0]:\n",
    "            jobs.insert((heaps[i][1].get_max(), heaps[i][1]))\n",
    "            i += 1\n",
    "        # If no jobs remaining, break the loop\n",
    "        if not jobs: break\n",
    "        best_heap = jobs.remove_max()[1]\n",
    "        best_profit = best_heap.remove_max()\n",
    "        max_profit += best_profit\n",
    "        # If there are still some values remaining in a heap, add it again to the\n",
    "        # jobs heap\n",
    "        if best_heap:\n",
    "            jobs.insert((best_heap.get_max(), best_heap))\n",
    "    \n",
    "    return max_profit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### Kilka testów"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6\n"
     ]
    }
   ],
   "source": [
    "C = [0, 1, 1]\n",
    "P = [1, 2, 3]\n",
    "W = 0\n",
    "k = 123\n",
    "\n",
    "print(max_profit(C, P, W, k))"
   ]
  }
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