matlab文件读写处理实例（二）——textread批量读取文件

问题：对文件夹下所有文件进行批量读取，跳过文件头部分，读取每个文件数据部分的7,8,9列，保存到变量并且输出到文件。

数据：

文件夹11m\

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dAkuj3l02y6EtpEUQxQhvXnZEIiuexzBFZBvmaOudQ46POXNbSuawt5VM5Z9NMUUOST2xKD+fwgM6KZTpR/KYgX6Q8K40H9dyH9D2Hzg0Gg9VioUhdVEhdnP60bjAYaOXovCURN6IFj1dNJUuz1WIyZ5nGpMJJq7Ekmoor4gSdAyJioMSHWssjtAJzpDbp06VmFpkzPVTLixqGm1qHkk6NxDr2J4FvTU2dy3RJDJklchmTF+AgnjuECh2+Qv9h6y3lS3qMeK7X6y0XC0Xq1uuNKnW9Xk8oWS5DaV5daQ/T+HJ9RfWUqU36mK1MFrM6EoXiijbqNYqJ0LnLg3/Bp1LFxkwevRmfwOvL0PRfrPE88sFpqjQAiKWkRDr8CKdGyxxp7K/cVMuSUOu6VSaIPEiDztXGccn4clZr/9Hmy9vFuijzLVUJh851u93lfL5czHOpW6pSt9lt4263W79eAC6aKpMvR17WeDlkA6w4QE7pT+6gc2eKQ+c6nc5iNiukbiVJXafTOU1bATgXIHMAnA6Hzn1YjdO0FQAAAKgLfFYBAACcM9A5AAAA5wx0DgAAwDkDnQMAAHDOQOcAAACcMw6d+9xKHMenaSUAAABwGG6dS/Z7ZiOeJPvn56eHh4cwDOeL+WkaCgAAAByAQ+fu7u7SzZqZ1D0/P93f30dRdH19PZvNTtNWAAAAoC4Onbu9vd3lvgRM6sIwDIIgCIIwDB2VYOtHAMC7gtWrU7Vexb5f54FD525ubjJfgt0uSb1VidR9O51+/fr1sXTOb3H31HJzaOb6o23ZnEJtgIzF7TUaEsGlIe9Bq2+9XCbL2+Hr7i7UMbSAZdJ25+dm5c49bsUmmdppPLUi8Zhjf6Wmpues74tWbv7rqkPOVMhc9h/oXBVsfbJG/1E+7PQI/UlivzWq4dC5MAzTzZp1qSvULggCRyW1dS4VKMXRQDHRKW1/Sg8excI8e6vZbCpGQFpxd41aIrhAyJf8UnLI9v6qq3Xb6/dlZxnP0wxJCk8Cy3aWeR7x4MSnRPY7EUtZ2mk5NeIRfZTRv3pTp4HX9jxu+aBsyqwl2yj2cVZlDjrnwtUnJWMeU/9hvjyiBcVhfc+hc0EQxJtoG2+229RbNZe65Kg6l6IavymvJKM4zbW8efXotwT7ubfzWQUXDhUd2RnG5ALuBVNNzCYV/EHZO2Y/cYdWVvZZtZ2aq54XoLL/XMAyTgOPOq4Kx9VPRP5kJatVbKptxuL9qxtQGftPrnPcUZxmt046G3Ho3Hg83kQRk7q9KnXj8VgqWhrQKTOF3BpOsTpVfU81P3GD26mQknuTl4mu4kKNcqLfajSv/OwsWn55ongEeRmQm9FoeazdjPnNzm9w8poMrep97DJxzYMvu/tpHZ9V26nJKS9KDZ9V7sApfZVQjsE/Wm1WLTPiI1cF8Zwbu86ZXRgTnt6fCN3Y7E5cFYfO+b4frdebaK1K3TaXuv3TU+L7erCjzAz6rUYZVbWILyk3LjUbiFtcvR+J5Gh5FefwF9M5Yo/eIBOoiPouAGqvXVnnlDiBjaz6TctudC2PfqsX83KWEaCGzhlPLa/nyCN/HT9xdcY4SzGKsBpb6K/6fa8/UeQQOlcJvSOReUtlXt3Wf7KvelL4d9znc6PRKFqtCqmL49RGvJS6JNmPRiNejMmINqOomn3nb3OpqB3P6Yc5VjwHP/GLhD80qKZzbBGJ9ZuulkueATXUbIvo6sxbVojn3ol5y9y62gumZSvtwSZ9AsdC6yCYwmf1QLRLRpYxBX1+PUz9J/2w9Xd51F7/kjh0bjgcrpfL9WoVrVeZ1G1Uqdvvh8MhL2bSOboAkshH+n4+11ig6ZxpSlPJQWS0QfTUXdyUDp0DSaLfXzbJoi+lRRDFCG1cd0YiKJ7HMkdkGeRr6pxDjY86c1lL57K2lE/lnE0zRQ1JPrEpPZzDAzorlulE8ZuCfJHyrDQe1HMf0vccOjcYDFaLhSJ1USF1cfrTusFgoJWj85ZE3IgWPF41lSzNVovJnGUakwonrUYTGlahUFwpA50DImKgxIdayyO0AnOkNunTpWYWmTM9VMuLGoabWoeSTo3EOvYngW9NTZ3LdEkMmSVyGZMX4CCeO4QKHb5C/2HrLeVLeox4rtfrLRcLRerW640qdb1eTyhZLkNpXl1pD9P4cn1F9ZSpTfrsrUwWswoRmhbFqTlLnRNrFBOhc5cH/4JPpYqNmTx6Mz6B15eh6b9Y43nkg9NUaQAQS0mJdPgRTo2WOdLYX7mpliWh1nWrTBB5kAadq43jkvHlrNb+o82Xt4t1UeZbqhIOnet2u8v5fLmY51K3VKVus9vG3W63fr0AXDRVJl+OvKzxcsgGWHGAnNKf3EHnzhSHznU6ncVsVkjdSpK6TqdzmrYCcC5A5gA4HQ6d+7Aap2krAAAAUBf4rAIAADhnoHMAAADOGegcAACAcwY6BwAA4JyBzgEAADhnHDr3uZU4jk/TSgAAAOAw3DqX7PfMRjxJ9s/PTw8PD2EYzhfz0zQUAAAAOACHzt3d3aWbNTOpe35+ur+/j6Lo+vp6Npudpq0AAABAXRw6d3t7u8t9CZjUhWEYBEEQBGEYOirB1o8AgHcFq1enar2Kfb/OA4fO3dzcZL4Eu12SeqsSqft2Ov369etj6Zzf0vZmLjaHZq4/fB9nxcu8zCsWt9doSASXhrwHrb71cpksb4evu7tQx9AClknbnZ+blTv3uBWbZGqn8dSKxGOO/ZWamp6zvi9aufmvqw45UyFz2X+gc1Ww9cka/Uf5sNMj9CeJ/daohkPnwjBMN2vWpa5QuyAIHJXU1rnUykdxNFBMdErbn9KYh1oBSRWKxd01aongAiFf8kvJIdv7q67Wba/fl51lPE8zJCk8CSzbWeZ5xIMTnxLZ70QsZWmn5dSIR/RRRv/qTZ0GXtvzuOWDsimzlmyj2MdZlTnonAtXn5SMeUz9h/nyiBYUh/U9h84FQRBvom282W5Tb9Vc6pKj6lyKavymvJKM4kgtQoXO4sZ0U2ZwmVDRkZ1hTC7gXjDVxGxSwR+UvWP2E3doZWWfVdupuep5ASr7zwUs4zTwqOOqcFz9RORPVrJaxabaZizev7oBlbH/5DrHHcVpduuksxGHzo3H400UManbq1I3Ho+losrcYSk73C9OsTpVfU81P3GD26meQuomIZ61uFCjnOi3Gs0rPzuLll9WhkeQlwG5GY2Wx9rNmN/s/AYnr8nQqt7HLhPXPPiyu5/W8Vm1nZqc8qLU8FnlDpzSVwnlGPyj1WbVMiM+clUQz7mx65zZhTHh6f2J0I3N7sRVceic7/vRer2J1qrUbXOp2z89Jb4v+puW2uC3GqXPaotqETMuNRuIW1y9H4nkaBTCaTEFZ9kr6ByxR2+QCVREfRcAtdeurHNKnMBGVv2mZTe6lke/1Yt5OcsIUEPnjKeW13Pkkb+On7g6Y5ylGEVYjS30V/2+158ocgidq4Tekci8pTKvbus/2Vc9Kfw77vO50WgUrVaF1MVxaiNeSl2S7EejES/GZER9qTmA529zqagdz0nalWd82XgOfuIXCX9oUE3n2CIS6zddLZc8A2qo2RbR1Zm3rBDPvRPzlrl1tRdMy1bag036BI6F1kEwhc/qgWiXjCxjCvr8epj6T/ph6+/yqL3+JXHo3HA4XC+X69UqWq8yqduoUrffD4dDXsykc+nCDi14S99/vGqqQqHpnGlKU65VTXQXN6VD50CS6PeXTbLoS2kRRDFCG9edkQiK57HMEVkG+Zo651Djo85c1tK5rC3lUzln00xRQ5JPbEoP5/CAzoplOlH8piBfpDwrjQf13If0PYfODQaD1WKhSF1USF2c/rRuMBho5ei8JRE3ogWPV00lS7PVYjJnmcakwkmrKdZTkqdyRl1Vy0g1ionQuQtEDJT4UGt5hFZgjtQmfbrUzCJzpodqeVHDcFPrUNKpkVjH/iTwrampc5kuiSGzRC5j8gIcxHOHUKHDV+g/bL2lfEmPEc/1er3lYqFI3Xq9UaWu1+sJJculIM2rK+1hGl+ur6ieMrVJn72VyWJW/hCNLw7Ri5c6J9YoJkLnLg/+BZ9KFRszefRmfAKvL0PTf7HG88gHp6nSACCWkhLp8COcGi1zpLG/clMtS0Kt61aZIPIgDTpXG8cl48tZrf1Hmy9vF+uizLdUJRw61+12l/P5cjHPpW6pSt1mt4273W79egG4aKpMvhx5WePlkA2w4gA5pT+5g86dKQ6d63Q6i9mskLqVJHWdTuc0bQXgXIDMAXA6HDr3YTVO01YAAACgLvBZBQAAcM5A5wAAAJwz0DkAAADnDHQOAADAOQOdAwAAcM44dO5zK3Ecn6aVAAAAwGG4dS7Z75mNeJLsn5+fHh4ewjCcL+anaSgAAABwAA6du7u7SzdrZlL3/Px0f38fRdH19fVsNjtNWwEAAIC6OHTu9vZ2l/sSMKkLwzAIgiAIwjB0VIKtHwEA7wpWr07VehX7fp0HDp27ubnJfAl2uyT1ViVS9+10+vXr18fSOb+luaeK2zMXiYa8quGrzfpbqNGQCC4NeQ9afevlMlneDl93d6GOoQUsk7Y7Pzcrd+5xKzbJ1E7jqRWJxxz7KzU1PWd9X7Ry819XHXKmQuay/0DnqmDrkzX6j/Jhp0foTxL7rVENh86FYZhu1qxLXaF2QRA4Kqmtc6mVj+JowIx3iI13abajKBqvUSzurlFLBBcI+ZJfSg7Z3l91tW57/b7sLON5miFJ4Ulg2c4yzyMenPiUyH4nYilLOy2nRjyijzL6V2/qNPDansctH5RNmbVkG8U+zqrMQedcuPqkZMxj6j/Ml0e0oDis7zl0LgiCeBNt4812m3qr5lKXHFXnUlTjN+WVZBTnU/cfrT5ncWO6KTO4TKjoyM4wJhdwL5hqYjap4A/K3jH7iTu0srLPqu3UXPW8AJX95wKWcRp41HFVOK5+IvInK1mtYlNtMxbvX92Ayth/cp3jjuI0u3XS2YhD58bj8SaKmNTtVakbj8dS0XLeUJkp5H5xitWp6nuq+Ykb3E55yuNVs3l1xeYoXcWFGuVEv9VoXvnZWbT88kTxCPIyIDej0fJYuxnzm53f4OQ1GVrV+9hl4poHX3b30zo+q7ZTk1NelBo+q9yBU/oqoRyDf7TarFpmxEeuCuI5N3adM7swJjy9PxG6sdmduCoOnfN9P1qvN9FalbptLnX7p6fE9/Vgh08ilhLUIr6k3LjUbCBucfV+JJJTHplaszavHm2m4ISKOkfs0RtkAhVR3wVA7bUr65wSJ7CRVb9p2Y2u5dFv9WJezjIC1NA546nl9Rx55K/jJ67OGGcpRhFWYwv9Vb/v9SeKHELnKqF3JDJvqcyr2/pP9lVPCv+O+3xuNBpFq1UhdXGc2oiXUpck+9FoxIsxGVFfag7g+dtcKmrHc6X8kPeyVy8bz8FP/CLhDw2q6RxbRGL9pqvlkmdADTXbIro685YV4rl3Yt4yt672gmnZSnuwSZ/AsdA6CKbwWT0Q7ZKRZUxBn18PU/9JP2z9XR61178kDp0bDofr5XK9WkXrVSZ1G1Xq9vvhcMiLmXQuXdihBW/p+9pTNU3nTFOaLId6oFLnHMVN6dA5kCT6/WWTLPpSWgRRjNDGdWckguJ5LHNElkG+ps451PioM5e1dC5rS/lUztk0U9SQ5BOb0sM5PKCzYplOFL8pyBcpz0rjQT33IX3PoXODwWC1WChSFxVSF6c/rRsMBlo5Om9JxI1oweNVU8nSbLX44hHzNCYVTloNkVDtv4biijhB54CIGCjxodbyCK3AHKlN+nSpmUXmTA/V8qKG4abWoaRTI7GO/UngW1NT5zJdEkNmiVzG5AU4iOcOoUKHr9B/2HpL+ZIeI57r9XrLxUKRuvV6o0pdr9cTSpbLUJpXV9rDNL5cX1E9ZWqTPnsrk8WsVKGEX88JxVUV1GoUE6Fzlwf/gk+lio2ZPHozPoHXl6Hpv1jjeeSD01RpABBLSVbtL5MAACAASURBVIl0+BFOjZY50thfuamWJaHWdatMEHmQBp2rjeOS8eWs1v6jzZe3i3VR5luqEg6d63a7y/l8uZjnUrdUpW6z28bdbrd+vQBcNFUmX468rPFyyAZYcYCc0p/cQefOFIfOdTqdxWxWSN1KkrpOp3OatgJwLkDmADgdDp37sBqnaSsAAABQF/isAgAAOGegcwAAAM4Z6BwAAIBzBjoHAADgnIHOAQAAOGccOve5lTiOT9NKAAAA4DDcOpfs98xGPEn2z89PDw8PYRjOF/PTNBQAAAA4AIfO3d3dpZs1M6l7fn66v7+Pouj6+no2m52mrQAAAEBdHDp3e3u7y30JmNSFYRgEQRAEYRg6KsHWjwCAdwWrV6dqvYp9v84Dh87d3NxkvgS7XZJ6qxKp+3Y6/fr162PpHLVLpUncu7tI1HZ75mbmYnF7jYZEcGnIe9DqWy+XyfJ2+Lq7C3UMLWCZtN35uVm5c49bsUmmdhpPrUg85thfqanpOev7opWb/7rqkDMVMpf9BzpXBVufrNF/lA87PUJ/kthvjWo4dC4Mw3SzZl3qCrULgsBRSW2dS618FEcDxUSntP0pjXkUC3OlUGn4rRV316glgguEfMkvJYds76+6Wre9fl92lvE8zZCk8CSwbGeZ5xEPTnxKZL8TsZSlnZZTIx7RRxn9qzd1Gnhtz+OWD8qmzFqyjWIfZ1XmoHMuXH1SMuYx9R/myyNaUBzW9xw6FwRBvIm28Wa7Tb1Vc6lLjqpzKarxm/JKMoqTalFlzlrcmG7KDC4TKjqyM4zJBdwLppqYTSr4g7J3zH7iDq2s7LNqOzVXPS9AZf+5gGWcBh51XBWOq5+I/MlKVqvYVNuMxftXN6Ay9p9c57ijOM1unXQ24tC58Xi8iSImdXtV6sbjsVS0dIBTZgq5X5xidar6nmp+4ga3U1OKkuYqLtQoJ/qtRvPKz86i5ZcnikeQlwG5GY2Wx9rNmN/s/AYnr8nQqt7HLhPXPPiyu5/W8Vm1nZqc8qLU8FnlDpzSVwnlGPyj1WbVMiM+clUQz7mx65zZhTHh6f2J0I3N7sRVceic7/vRer2J1qrUbXOp2z89Jb6vBzvKzKDfapQ+qy3iS8qNS80G4hZX70ciOXorqH35i+kcsUdvNKR4EZwt1F67ss4pcQIbWfWblt3oWh79Vi/m5SwjQA2dM55aXs+RR/46fuLqjHGWYhRhNbbQX/X7Xn+iyCF0rhJ6RyLzlsq8uq3/ZF/1pPDvuM/nRqNRtFoVUhfHqY14KXVJsh+NRrwYkxH1peYAnr/NpaJ2PKcm1SsuFJET4Sd+ufCHBtV0ji0isX7T1XLJM6CGmm0RXZ15ywrx3Dsxb5lbV3vBtGylPdikT+BYaB0EU/isHoh2ycgypqDPr4ep/6Qftv4uj9rrXxKHzg2Hw/VyuV6tovUqk7qNKnX7/XA45MVMOpcu7NCCt/T9x6umKhSaUJmmNMVabRHc2zyfg85dKPz+skkWfSktgihGaOO6MxJB8TyWOSLLIF9T5xxqfNSZy1o6l7WlfCrnbJopakjyiU3p4Rwe0FmxTCeK3xTki5RnpfGgnvuQvufQucFgsFosFKmLCqmL05/WDQYDrRydtyTixiYSaZZmq8VkzjKNSYWTVkMOoMmOobiSCzoHRMRAiQ+1lkdoBeZIbdKnS80sMmd6qJYXNQw3tQ4lnRqJdexPAt+amjqX6ZIYMkvkMiYvwEE8dwgVOnyF/sPWW8qX9BjxXK/XWy4WitSt1xtV6nq9nlCyXIbSvLrSHqbx5fqK6uk/gdN+GSdmlX+DkCR6Vl0bxRrFROjc5cG/4FOpYmMmj96MT+D1ZWj6L9Z4HvngNFUaAMRSUiIdfoRTo2WONPZXbqplSah13SoTRB6kQedq47hkfDmrtf9o8+XtYl2U+ZaqhEPnut3ucj5fLua51C1VqdvstnG3261fLwAXTZXJlyMva7wcsgFWHCCn9Cd30LkzxaFznU5nMZsVUreSpK7T6ZymrQCcC5A5AE6HQ+c+rMZp2goAAADUBT6rAAAAzhnoHAAAgHMGOgcAAOCcgc4BAAA4Z6BzAAAAzhmHzn1uJY7j07QSAAAAOAy3ziX7PbMRT5L98/PTw8NDGIbzxfw0DQUAAAAOwKFzd3d36WbNTOqen5/u7++jKLq+vp7NZqdpKwAAAFAXh87d3t7ucl8CJnVhGAZBEARBGIaOSrD1IwDgXcHq1alar2Lfr/PAoXM3NzeZL8Ful6TeqkTqvp1Ov379+lg657c099Ric2jm+iPu46ynisXtNRoSwaUh70Grb71cJsvb4evuLtQxtIBl0nbn52blzj1uxSaZ2mk8tSLxmGN/paam56zvi1Zu/uuqQ85UyFz2H+hcFWx9skb/UT7s9Aj9SWK/Narh0LkwDNPNmnWpK9QuCAJHJbV1LrXyURwNFA+C0vanNOYhVkDkv6ojgVbcXaOWCC4Q8iW/lByyvb/qat32+n3ZWcbzNEOSwpPAsp1lnkc8OPEpkf1OxFKWdlpOjXhEH2X0r97UaeC1PY9bPiibMmvJNop9nFWZg865cPVJyZjH1H+YL49oQXFY33PoXBAE8SbaxpvtNvVWzaUuOarOpajGb8orySiurEWyy3EWN6abMoPLhIqO7AxjcgH3gqkmZpMK/qDsHbOfuEMrK/us2k7NVc8LUNl/LmAZp4FHHVeF4+onIn+yktUqNtU2Y/H+1Q2ojP0n1znuKE6zWyedjTh0bjweb6KISd1elbrxeCwVLQ3olJlCPqOoOMWptnGan7jJHlxLyY+jxnDW4kKNcqLfajSv/OwsWn55ongEeRmQm9FoeazdjPnNzm9w8poMrep97DJxzYMvu/tpHZ9V26nJKS9KDZ9V7sApfZVQjsE/Wm1WLTPiI1cF8Zwbu86ZXRgTnt6fCN3Y7E5cFYfO+b4frdebaK1K3TaXuv3TU+L7erCjzAz6rUbps9oigRY3LjUbiFtcvR+J5CRKWW7R+mI6R+zRG2QCFVHfBUDttSvrnBInsJFVv2nZja7l0W/1Yl7OMgLU0DnjqeX1HHnkr+Mnrs4YZylGEVZjC/1Vv+/1J4ocQucqoXckMm+pzKvb+k/2VU8K/477fG40GkWrVSF1cZzaiJdSlyT70WjEizEZUV9qa0TEqcXkgHhOmLcsIrqXjefgJ36R8IcG1XSOLSKxftPVcskzoIaabRFdnXnLCvHcOzFvmVtXe8G0bKU92KRP4FhoHQRT+KweiHbJyDKmoM+vh6n/pB+2/i6P2utfEofODYfD9XK5Xq2i9SqTuo0qdfv9cDjkxUw6ly7s0IK39P3Hq6YqFJrOmaY0WQ619uyVu7gpHToHkkS/v2ySRV9KiyCKEdq47oxEUDyPZY7IMsjX1DmHGh915rKWzmVtKZ/KOZtmihqSfGJTejiHB3RWLNOJ4jcF+SLlWWk8qOc+pO85dG4wGKwWC0XqokLq4vSndYPBQCtH5y2JuLFAi2ZptlpM5izTmFQ4aTXaykrSEkNxRZygc0BEDJT4UGt5hFZgjtQmfbrUzCJzpodqeVHDcFPrUNKpkVjH/iTwrampc5kuiSGzRC5j8gIcxHOHUKHDV+g/bL2lfEmPEc/1er3lYqFI3Xq9UaWu1+sJJctlKM2rK+1hGl+ur6ieMrXJH7LxH8WJv5Sj5aVUWRu1GsVE6Nzlwb/gU6liYyaP3oxP4PVlaPov1nge+eA0VRoAxFJSIh1+hFOjZY409lduqmVJqHXdKhNEHqRB52rjuGR8Oau1/2jz5e1iXZT5lqqEQ+e63e5yPl8u5rnULVWp2+y2cbfbrV8vABdNlcmXIy9rvByyAVYcIKf0J3fQuTPFoXOdTmcxmxVSt5KkrtPpnKatAJwLkDkATodD5z6sxmnaCgAAANQFPqsAAADOGegcAACAcwY6BwAA4JyBzgEAADhnoHMAAADOGYfOfW4ljuPTtBIAAAA4DLfOJfs9sxFPkv3z89PDw0MYhvPF/DQNBQAAAA7AoXN3d3fpZs1M6p6fn+7v76Mour6+ns1mp2krAAAAUBeHzt3e3u5yXwImdWEYBkEQBEEYho5KsPUjAOBdwerVqVqvYt+v88Chczc3N5kvwW6XpN6qROq+nU6/fv36WDrntzT31GJzaOb6w3dspvtFSzkNrRFqNCSCS0Peg1bferlMlrfD191dqGNoAcuk7c7Pzcqde9yKTTK103hqReIxx/5KTU3PWd8Xrdz811WHnKmQuew/0Lkq2Ppkjf6jfNjpEfqTxH5rVMOhc2EYpps161JXqF0QBI5KautcauWjOBooJjql7U9pzEOsgNT/EqsErbi7Ri0RXCDkS34pOWR7f9XVuu31+7KzjOdphiSFJ4FlO8s8j3hw4lMi+52IpSzttJwa8Yg+yuhfvanTwGt7Hrd8UDZl1pJtFPs4qzIHnXPh6pOSMY+p/zBfHtGC4rC+59C5IAjiTbSNN9tt6q2aS11yVJ1LUY3flFeSUVxRC7dU1c3K38ZnFVw4VHRkZxiTC7gXTDUxm1TwB2XvmP3EHVpZ2WfVdmquel6Ayv5zAcs4DTzquCocVz8R+ZOVrFaxqbYZi/evbkBl7D+5znFHcZrdOulsxKFz4/F4E0VM6vaq1I3HY6loaUCnzBRyvzjF6lT1PdX8xA1upzxFtA53FRdqlBP9VqN55WdnkR3ZNhkKzgxyMxotj7WbMb/Z+Q1OXpOhVb2PXSauefBldz+t47NqOzU55UWp4bPKHTilrxLKMfhHq82qZUZ85KognnNj1zmzC2PC0/sToRub3Ymr4tA53/ej9XoTrVWp2+ZSt396SnxfD3aUmUG/1SgnD1ua0bc6tSgbiFtcvR+J5JRZ6RRmo+XbTMEJFXWO2KM3yAQqor4LgNprV9Y5JU5gI6t+07IbXcuj3+rFvJxlBKihc8ZTy+s58shfx09cnTHOUowirMYW+qt+3+tPFDmEzlVC70hk3lKZV7f1n+yrnhT+Hff53Gg0ilarQuriOLURL6UuSfaj0YgXYzKivtQcwPO3uVTUjucUc+/SzLx59fjS8Rz8xC8S/tCgms6xRSTWb7paLnkG1FCzLaKrM29ZIZ57J+Ytc+tqL5iWrbQHm/QJHAutg2AKn9UD0S4ZWcYU9Pn1MPWf9MPW3+VRe/1L4tC54XC4Xi7Xq1W0XmVSt1Glbr8fDoe8mEnn0oUdWvCWvp8/SSvQdM40pSnXWiSyqNFU3JQOnQNJot9fNsmiL6VFEMUIbVx3RiIonscyR2QZ5GvqnEONjzpzWUvnsraUT+WcTTNFDUk+sSk9nMMDOiuW6UTxm4J8kfKsNB7Ucx/S9xw6NxgMVouFInVRIXVx+tO6wWCglaPzlkTciBbQycXk8arZbLWYzFmmMalw0mo0oWEVCsWVMtA5ICIGSnyotTxCKzBHapM+XWpmkTnTQ7W8qGG4qXUo6dRIrGN/EvjW1NS5TJfEkFkilzF5AQ7iuUOo0OEr9B+23lK+pMeI53q93nKxUKRuvd6oUtfr9YSS5TKU5tWV9jCNL9dXVE+Z2qTP3spkMat6NH1tiF681DmxRjEROnd58C/4VKrYmMmjN+MTeH0Zmv6LNZ5HPjhNlQYAsZSUSIcf4dRomSON/ZWbalkSal23ygSRB2nQudo4LhlfzmrtP9p8ebtYF2W+pSrh0Llut7ucz5eLeS51S1XqNrtt3O1269cLwEVTZfLlyMsaL4dsgBUHyCn9yR107kxx6Fyn01nMZoXUrSSp63Q6p2krAOcCZA6A0+HQuQ+rcZq2AgAAAHWBzyoAAIBzBjoHAADgnIHOAQAAOGegcwAAAM4Z6BwAAIBzxqFzn1uJ4/g0rQQAAAAOw61zyX7PbMSTZP/8/PTw8BCG4XwxP01DAQAAgANw6Nzd3V26WTOTuufnp/v7+yiKrq+vZ7PZadoKAAAA1MWhc7e3t7vcl4BJXRiGQRAEQRCGoaMSbP0IAHhXsHp1qtar2PfrPHDo3M3NTeZLsNslqbcqkbpvp9OvX78+ls7lFqk8SfTupo4/xpzm4sYaDYng0pD3oNW3Xi6T5e3wdXcX6hhawDJpu/Nzs3LnHrdik0ztNJ5akXjMsb9SU9Nz1vdFKzf/ddUhZypkLvsPdK4Ktj5Zo/8oH3Z6hP4ksd8a1XDoXBiG6WbNutQVahcEgaOS2jqXqpbiaKCY6Ch25elbzWZTseDRclqK22rUEsEFQr7kl5JDtvdXXa3bXr8vO8t4nmZIUngSWLazzPOIByc+JbLfiVjK0k7LqRGP6KOM/tWbOg28tudxywdlU2Yt2Uaxj7Mqc9A5F64+KRnzmPoP8+URLSgO63sOnQuCIN5E23iz3abeqrnUJUfVuRTV+E15xV80rx59xfxHy2kubqzRkRlcJlR0ZGcYkwu4F0w1MZtU8Adl75j9xB1aWdln1XZqrnpegMr+cwHLOA086rgqHFc/EfmTlaxWsam2GYv3r25AZew/uc5xR3Ga3TrpbMShc+PxeBNFTOr2qtSNx2OpaGlAp8wUcr84xepU9T3V/MRFt9PchrxMEXOaiitU9ln1s7No+eWJ4hHkZUBuRqPlsXYz5jc7v8HJazK0qvexy8Q1D77s7qd1fFZtpyanvCg1fFa5A6f0VUI5Bv9otVm1zIiPXBXEc27sOmd2YUx4en8idGOzO3FVHDrn+360Xm+itSp121zq9k9Pie/rwY4yM+i3GqUotYgvKTcuNRuIG129y2TFJFzLaTEFJ1TUOWKP3qDTooj6zh9qr11Z55Q4gY2s+k3LbnQtj36rF/NylhGghs4ZTy2v58gjfx0/cXXGOEsxirAaW+iv+n2vP1HkEDpXCb0jkXlLZV7d1n+yr3pS+Hfc53Oj0SharQqpi+PURryUuiTZj0YjXozJiPpScwDXNavMaI/naI6TxnPwE79I+EODajrHFpFYv+lqueQZUEPNtoiuzrxlhXjunZi3zK2rvWBattIebNIncCy0DoIpfFYPRLtkZBlT0OfXw9R/0g9bf5dH7fUviUPnhsPherlcr1bRepVJ3UaVuv1+OBzyYiado6siiXwUoqUKhaZzfEqTKGaDSKeQUyyuny50Dhjh95dNsuhLaRFEMUIb152RCIrnscwRWQb5mjrnUOOjzlzW0rmsLeVTOWfTTFFDkk9sSg/n8IDOimU6UfymIF+kPCuNB/Xch/Q9h84NBoPVYqFIXVRIXZz+tG4wGGjl6LwlETeiBY9XTSVLs9ViMmeZxpQ0hR1byyklqs8DoXPAgBgo8aHW8gitwBypTfp0qZlF5kwP1fKihuGm1qGkUyOxjv1J4FtTU+cyXRJDZolcxuQFOIjnDqFCh6/Qf9h6S/mSHiOe6/V6y8VCkbr1eqNKXa/XE0qWy1CaV1eK2GSpynJ9RfWUqU0yv0mShWBMC9i0nHpiqXNijWIidO7y4F/wqVSxMZNHb8Yn8PoyNP0XazyPfHCaKg0AYikpkQ4/wqnRMkca+ys31bIk1LpulQkiD9Kgc7VxXDK+nNXaf7T58naxLsp8S1XCoXPdbnc5ny8X81zqlqrUbXbbuNvt1q8XgIumyuTLkZc1Xg7ZACsOkFP6kzvo3Jni0LlOp7OYzQqpW0lS1+l0TtNWAM4FyBwAp8Ohcx9W4zRtBQAAAOoCn1UAAADnDHQOAADAOQOdAwAAcM5A5wAAAJwz0DkAAADnjEPnPrcSx/FpWgkAAAAchlvnkv2e2Ygnyf75+enh4SEMw/lifpqGAgAAAAfg0Lm7u7t0s2Ymdc/PT/f391EUXV9fz2az07QVAAAAqItD525vb3e5LwGTujAMgyAIgiAMQ0cl2PoRAPCuYPXqVK1Xse/XeeDQuZubm8yXYLdLUm9VInXfTqdfv359LJ3zW9qGzcXm0NrhqOPPAcWNRQyJ4NKQ96DVt14uk+Xt8HV3F+oYWsAyabvzc7Ny5x63YpNM7TSeWpF4zLG/UlPTc9b3RSs3/3XVIWcqZC77D3SuCrY+WaP/KB92eoT+JLHfGtVw6FwYhulmzbrUFWoXBIGjkto6l6qW4migmOgoduXpW81mU/X8qVHcVkRLBBcI+ZJfSg7Z3l91tW57/b7sLON5miFJ4Ulg2c4yzyMenPiUyH4nYilLOy2nRjyijzL6V2/qNPDansctH5RNmbVkG8U+zqrMQedcuPqkZMxj6j/Ml0e0oDis7zl0LgiCeBNt4812m3qr5lKXHFXnUlTjN+UVf9G8etQqqVrcWMSRGVwmVHRkZxiTC7gXTDUxm1TwB2XvmP3EHVpZ2WfVdmquel6Ayv5zAcs4DTzquCocVz8R+ZOVrFaxqbYZi/evbkBl7D+5znFHcZrdOulsxKFz4/F4E0VM6vaq1I3HY6loaUCnzBQST7fC40150+T67bdkt9Pchtyhc6biCpV9Vv3sLDKncttkKDgzyM1otDzWbsb8Zuc3OHlNhlb1PnaZuObBl939tI7Pqu3U5JQXpYbPKnfglL5KKMfgH602q5YZ8ZGrgnjOjV3nzC6MCU/vT4RubHYnropD53zfj9brTbRWpW6bS93+6SnxfdH0tNQGv9UoRalFfEm5canZQNzo6l0m23XOYgpuKmJI9FsNYo9ePLtD1HcZUHvtyjqnxAlsZNVvWnaja3n0W72Yl7OMADV0znhqeT1HHvnr+ImrM8ZZilGE1dhCf9Xve/2JIofQuUroHYnMWyrz6rb+k33Vk8K/4z6fG41G0WpVSF0cpzbipdQlyX40GvFiTEbUlzyiEzSrzGgPyGiOk8Zz8BO/SPhDg2o6xxaRWL/parnkGVBDzbaIrs68ZYV47p2Yt8ytq71gWrbSHmzSJ3AstA6CKXxWD0S7ZGQZU9Dn18PUf9IPW3+XR+31L4lD54bD4Xq5XK9W0XqVSd1Glbr9fjgc8mImnaOrIol8FKLlECo+pUkUs6FKZ6Xi+ulC54ARfn/ZJIu+lBZBFCO0cd0ZiaB4HssckWWQr6lzDjU+6sxlLZ3L2lI+lXM2zRQ1JPnEpvRwDg/orFimE8VvCvJFyrPSeFDPfUjfc+jcYDBYLRaK1EWF1MXpT+sGg4FWjs5bEnEjWvB41VSyNFstJnOWaUxJUxzxnFhcfR4InQMGxECJD7WWR2gF5kht0qdLzSwyZ3qolhc1DDe1DiWdGol17E8C35qaOpfpkhgyS+QyJi/AQTx3CBU6fIX+w9Zbypf0GPFcr9dbLhaK1K3XG1Xqer2eULJchtK8ulKewGWpynJ9RfWUqU0apJXJQjDGNbRK8VLnxCJiInTu8uBf8KlUsTGTR2/GJ/D6MjT9F2s8j3xwmioNAGIpKZEOP8Kp0TJHGvsrN9WyJNS6bpUJIg/SoHO1cVwyvpzV2n+0+fJ2sS7KfEtVwqFz3W53OZ8vF/Nc6paq1G1227jb7davF4CLpsrky5GXNV4O2QArDpBT+pM76NyZ4tC5TqezmM0KqVtJUtfpdE7TVgDOBcgcAKfDoXMfVuM0bQUAAADqAp9VAAAA5wx0DgAAwDkDnQMAAHDOQOcAAACcM9A5AAAA54xD5z63EsfxaVoJAAAAHIZb55L9ntmIJ8n++fnp4eEhDMP5Yn6ahgIAAAAH4NC5u7u7dLNmJnXPz0/39/dRFF1fX89ms9O0FQAAAKiLQ+dub293uS8Bk7owDIMgCIIgDENHJdj6EQDwrmD16lStV7Hv13ng0Lmbm5vMl2C3S1JvVSJ1306nX79+fSyd81vahs3F5tDa4ajjT6LswMwtUi3W30KNhkRwach70OpbL5fJ8nb4ursLdQwtYJm03fm5Wblzj1uxSaZ2Gk+tSDzm2F+pqek56/uilZv/uuqQMxUyl/0HOlcFW5+s0X+UDzs9Qn+S2G+Najh0LgzDdLNmXeoKtQuCwFFJbZ1LVUtxNFBMdBS78vStZrO02PFbRXWlqY6luK1GLRFcIORLfik5ZHt/1dW67fX7srOM52mGJIUngWU7yzyPeHDiUyL7nYilLO20nBrxiD7K6F+9qdPAa3set3xQNmXWkm0U+zirMgedc+Hqk5Ixj6n/MF8e0YLisL7n0LkgCOJNtI03223qrZpLXXJUnUtRjd+UV/xF8+rRbBGum5W/jc8quHCo6MjOMCYXcC+YamI2qeAPyt4x+4k7tLKyz6rt1Fz1vACV/ecClnEaeNRxVTiufiLyJytZrWJTbTMW71/dgMrYf3Kd447iNLt10tmIQ+fG4/EmipjU7VWpG4/HUtHSgE6ZKeQziorVqep7qhmCi26nuZAZdC4vZiquUNln1c/OouWXJ4pHkJcBuRmNlsfazZjf7PwGJ6/J0Krexy4T1zz4sruf1vFZtZ2anPKi1PBZ5Q6c0lcJ5Rj8o9Vm1TIjPnJVEM+5seuc2YUx4en9idCNze7EVXHonO/70Xq9idaq1G1zqds/PSW+L5qeltrgtxqlKLWILyk3LjU7gBtdvctkUboU5/AX0zlij148u0PUdxlQe+3KOqfECWxk1W9adqNrefRbvZiXs4wANXTOeGp5PUce+ev4iaszxlmKUYTV2EJ/1e97/Ykih9C5SugdicxbKvPqtv6TfdWTwr/jPp8bjUbRalVIXRynNuKl1CXJfjQa8WJMRtSX2hoRXbPKjPZ4jubQpYuL7QvGc/ATv0j4Q4NqOscWkVi/6Wq55BlQQ822iK7OvGWFeO6dmLfMrau9YFq20h5s0idwLLQOgil8Vg9Eu2RkGVPQ59fD1H/SD1t/l0ft9S+JQ+eGw+F6uVyvVtF6lUndRpW6/X44HPJiJp2jqyKJfBSipQqFpnN8SpMoZkOVTn2tiVBcP13oHDDC7y+bZNGX0iKIYoQ2rjsjERTPY5kjsgzyNXXOocZHnbmspXNZW8qncs6mmaKGJJ/YlB7O4QGdFct0ovhNQb5IeVYaD+q5D+l7Dp0bDAarxUKRuqiQujj9ad1gMNDKxfOihwAAIABJREFUUZUh4ka04PGqqWRptlpM5izTmJKmsGOLvzzgxXlG6BwQEQMlPtRaHqEVmCO1SZ8uNbPInOmhWl7UMNzUOpR0aiTWsT8JfGtq6lymS2LILJHLmLwAB/HcIVTo8BX6D1tvKV/SY8RzvV5vuVgoUrdeb1Sp6/V6QslyGUrz6kp5ApelKsv1FdVTpjZpkFYmC8FYqTPqCpiGKq1K8VLnxBrFROjc5cG/4FOpYmMmj96MT+D1ZWj6L9Z4HvngNFUaAMRSUiIdfoRTo2WONPZXbqplSah13SoTRB6kQedq47hkfDmrtf9o8+XtYl2U+ZaqhEPnut3ucj5fLua51C1VqdvstnG3261fLwAXTZXJlyMva7wcsgFWHCCn9Cd30LkzxaFznU5nMZsVUreSpK7T6ZymrQCcC5A5AE6HQ+c+rMZp2goAAADUBT6rAAAAzhnoHAAAgHMGOgcAAOCcgc4BAAA4Z6BzAAAAzhmHzn1uJY7j07QSAAAAOAy3ziX7PbMRT5L98/PTw8NDGIbzxfw0DQUAAAAOwKFzd3d36WbNTOqen5/u7++jKLq+vp7NZqdpKwAAAFAXh87d3t7ucl8CJnVhGAZBEARBGIaOSrD1IwDgXcHq1alar2Lfr/PAoXM3NzeZL8Ful6TeqkTqvp1Ov379+lg657e0DZuLHZpFNwKaWuRk3jxW62+hRkMiuDTkPWj1rZfLZHk7fN3dhTqGFrBM2u783Kzcucet2CRTO42nViQec+yv1NT0nPV90crNf111yJkKmcv+A52rgq1P1ug/yoedHqE/Sey3RjUcOheGYbpZsy51hdoFQeCopLbOpaqlOBooJjrcXO7xqtlsNqkxQenAQ80ODMVtNWqJ4AIhX/JLySHb+6uu1m2v35edZTxPMyQpPAks21nmecSDE58S2e9ELGVpp+XUiEf0UUb/6k2dBl7b87jlg7Ips5Zso9jHWZU56JwLV5+UjHlM/Yf58ogWFIf1PYfOBUEQb6JtvNluU2/VXOqSo+pcimr8prziL5pXj3IlitWcXNxYoyMzuEyo6MjOMCYXcC+YamI2qeAPyt4x+4k7tLKyz6rt1Fz1vACV/ecClnEaeNRxVTiufiLyJytZrWJTbTMW71/dgMrYf3Kd447iNLt10tmIQ+fG4/EmipjU7VWpG4/HUlHVBa6QIOLpVni8KW+aXL/9lux2mtuQizqnmNIZzFIJlX1W/ewsWn55ongEeRmQm9FoeazdjPnNzm9w8poMrep97DJxzYMvu/tpHZ9V26nJKS9KDZ9V7sApfZVQjsE/Wm1WLTPiI1cF8Zwbu86ZXRgTnt6fCN3Y7E5cFYfO+b4frdebaK1K3TaXuv3TU+L7oulpqQ1+q1GKUov4knLjUrOBuNHVu0xWpOuR6JCtOKOizhF79KIORH2XAbXXrqxzSpzARlb9pmU3upZHv9WLeTnLCFBD54ynltdz5JG/jp+4OmOcpRhFWI0t9Ff9vtefKHIInauE3pHIvKUyr27rP9lXPSn8O+7zudFoFK1WhdTFcWojXkpdkuxHoxEvxmREfckjOkGzyoz2eI7mMMVzpSa9YDwHP/GLhD80qKZzbBGJ9ZuulkueATXUbIvo6sxbVojn3ol5y9y62gumZSvtwSZ9AsdC6yCYwmf1QLRLRpYxBX1+PUz9J/2w9Xd51F7/kjh0bjgcrpfL9WoVrVeZ1G1Uqdvvh8MhL2bSOboqkshHIVqqUGg6x6c0iWI2VOnUmyIU108XOgeM8PvLJln0pbQIohihjevOSATF81jmiCyDfE2dc6jxUWcua+lc1pbyqZyzaaaoIcknNqWHc3hAZ8UynSh+U5AvUp6VxoN67kP6nkPnBoPBarFQpC4qpC5Of1o3GAy0cnTekogb0YLHq6aSpdlqMZmzTGNKmqJMf9K6Tbqqvi3VKCZC5y4QMVDiQ63lEVqBOVKb9OlSM4vMmR6q5UUNw02tQ0mnRmId+5PAt6amzmW6JIbMErmMyQtwEM8dQoUOX6H/sPWW8iU9RjzX6/WWi4Uidev1RpW6Xq8nlCyXoTSvrpQncFmqslxfUT1lapMGaWWyEIxRndGmRg3FS50TaxQToXOXB/+CT6WKjZk8ejM+gdeXoem/WON55IPTVGkAEEtJiXT4EU6NljnS2F+5qZYlodZ1q0wQeZAGnauN45Lx5azW/qPNl7eLdVHmW6oSDp3rdrvL+Xy5mOdSt1SlbrPbxt1ut369AFw0VSZfjrys8XLIBlhxgJzSn9xB584Uh851Op3FbFZI3UqSuk6nc5q2AnAuQOYAOB0OnfuwGqdpKwAAAFAX+KwCAAA4Z6BzAAAAzhnoHAAAgHMGOgcAAOCcgc4BAAA4Zxw697mVOI5P00oAAADgMNw6l+z3zEY8SfbPz08PDw9hGM4X89M0FAAAADgAh87d3d2lmzUzqXt+frq/v4+i6Pr6ejabnaatAAAAQF0cOnd7e7vLfQmY1IVhGARBEARhGDoqwdaPAIB3BatXp2q9in2/zgOHzt3c3GS+BLtdknqrEqn7djr9+vXrY+mc39I2bC42h9YORx1/jInm4sYaDYng0pD3oNW3Xi6T5e3wdXcX6hhawDJpu/Nzs3LnHrdik0ztNJ5akXjMsb9SU9Nz1vdFKzf/ddUhZypkLvsPdK4Ktj5Zo/8oH3Z6hP4ksd8a1XDoXBiG6WbNutQVahcEgaOS2jqXCpTiaKCY6Ch25elbzWazodnX0URLcVuNWiK4QMiX/FJyyPb+qqt12+v3ZWcZz9MMSQpPAst2lnke8eDEp0T2OxFLWdppOTXiEX2U0b96U6eB1/Y8bvmgbMqsJdso9nFWZQ4658LVJyVjHlP/Yb48ogXFYX3PoXNBEMSbaBtvttvUWzWXuuSoOpeiGr8pr/iL5tUjq4Qnmosba3RkBpcJFR3ZGcbkAu4FU03MJhX8Qdk7Zj9xh1ZW9lm1nZqrnhegsv9cwDJOA486rgrH1U9E/mQlq1Vsqm3G4v2rG1AZ+0+uc9xRnGa3TjobcejceDzeRBGTur0qdePxWCpaGtApM4XcGk6xOlV9TzU/cdHtNLch54bhLNFUXKGyz6qfnUXLL08UjyAvA3IzGi2PtZsxv9n5DU5ek6FVvY9dJq558GV3P63js2o7NTnlRanhs8odOKWvEsox+EerzaplRnzkqiCec2PXObMLY8LT+xOhG5vdiavi0Dnf96P1ehOtVanb5lK3f3pKfF80PS21wW81SlFqEV9SblxqNhA3unqXycyrnCVaTMEJFXWO2KMXz+4Q9V0G1F67ss4pcQIbWfWblt3oWh79Vi/m5SwjQA2dM55aXs+RR/46fuLqjHGWYhRhNbbQX/X7Xn+iyCF0rhJ6RyLzlsq8uq3/ZF/1pPDvuM/nRqNRtFoVUhfHqY14KXVJsh+NRrwYkxH1pWb2rWtWmdEez9EcoqQdK56Dn/hFwh8aVNM5tojE+k1XyyXPgBpqtkV0deYtK8Rz78S8ZW5d7QXTspX2YJM+gWOhdRBM4bN6INolI8uYgj6/Hqb+k37Y+rs8aq9/SRw6NxwO18vlerWK1qtM6jaq1O33w+GQFzPpHF0ASeSjEC1tIYmqc3xKkyhmQetKSvSl4vrpQueAEX5/2SSLvpQWQRQjtHHdGYmgeB7LHJFlkK+pcw41PurMZS2dy9pSPpVzNs0UNST5xKb0cA4P6KxYphPFbwryRcqz0nhQz31I33Po3GAwWC0WitRFhdTF6U/rBoOBVo7OWxJxY3OLNEuz1WIyZ5nGlDRF1BlxMlPVXbZ4BToHdMRAiQ+1lkdoBeZIbdKnS80sMmd6qJYXNQw3tQ4lnRqJdexPAt+amjqX6ZIYMkvkMiYvwEE8dwgVOnyF/sPWW8qX9BjxXK/XWy4WitSt1xtV6nq9nlCyXIbSvLpSnsBlqcpyfUX1lKlNMr9JkoVgzKVzUvFS58QaxUTo3OXBv+BTqWJjJo/ejE/g9WVo+i/WeB754DRVGgDEUlIiHX6EU6NljjT2V26qZUmodd0qE0QepEHnauO4ZHw5q7X/aPPl7WJdlPmWqoRD57rd7nI+Xy7mudQtVanb7LZxt9utXy8AF02VyZcjL2u8HLIBVhwgp/Qnd9C5M8Whc51OZzGbFVK3kqSu0+mcpq0AnAuQOQBOh0PnPqzGadoKAAAA1AU+qwAAAM4Z6BwAAIBzBjoHAADgnIHOAQAAOGegcwAAAM4Zh859biWO49O0EgAAADgMt84l+z2zEU+S/fPz08PDQxiG88X8NA0FAAAADsChc3d3d+lmzUzqnp+f7u/voyi6vr6ezWanaSsAAABQF4fO3d7e7nJfAiZ1YRgGQRAEQRiGjkqw9SMA4F3B6tWpWq9i36/zwKFzNzc3mS/Bbpek3qpE6r6dTr9+/fpYOue3tA2bi82htcNRxx/mZV7mNRc31mhIBJeGvAetvvVymSxvh6+7u1DH0AKWSdudn5uVO/e4FZtkaqfx1IrEY479lZqanrO+L1q5+a+rDjlTIXPZf6BzVbD1yRr9R/mw0yP0J4n91qiGQ+fCMEw3a9alrlC7IAgcldTWuVS1FEcDxURHsStP32o2m3bvAEtxW41aIrhAyJf8UnLI9v6qq3Xb6/dlZxnP0wxJCk8Cy3aWeR7x4MSnRPY7EUtZ2mk5NeIRfZTRv3pTp4HX9jxu+aBsyqwl2yj2cVZlDjrnwtUnJWMeU/9hvjyiBcVhfc+hc0EQxJtoG2+229RbNZe65Kg6l6Iavymv+Ivm1aPDI8dc3FijIzO4TKjoyM4wJhdwL5hqYjap4A/K3jH7iTu0srLPqu3UXPW8AJX95wKWcRp41HFVOK5+IvInK1mtYlNtMxbvX92Ayth/cp3jjuI0u3XS2YhD58bj8SaKmNTtVakbj8dSUWXusJQd4ulWeLwpb5pcv/2W7Haa25AznWPWdcbiCpV9Vv3sLFp+WRkeQV4G5GY0Wh5rN2N+s/MbnLwmQ6t6H7tMXPPgy+5+Wsdn1XZqcsqLUsNnlTtwSl8llGPwj1abVcuM+MhVQTznxq5zZhfGhKf3J0I3NrsTV8Whc77vR+v1JlqrUrfNpW7/9JT4vmh6WmqD32qUotSiWsSMS80G4kZX7zJZlK5COC2m4Cx7BZ0j9uiFkiLquwyovXZlnVPiBDay6jctu9G1PPqtXszLWUaAGjpnPLW8niOP/HX8xNUZ4yzFKMJqbKG/6ve9/kSRQ+hcJfSOROYtlXl1W//JvupJ4d9xn8+NRqNotSqkLo5TG/FS6pJkPxqNeDEmI+pLHtEJmlVmtMdzNIdBuvLkl43n4Cd+kfCHBtV0ji0isX7T1XLJM6CGmm0RXZ15ywrx3Dsxb5lbV3vBtGylPdikT+BYaB0EU/isHoh2ycgypqDPr4ep/6Qftv4uj9rrXxKHzg2Hw/VyuV6tovUqk7qNKnX7/XA45MVMOkdXRRL5KERLFQpN5/iUJlFMbZ6SFxOK66cLnQNG+P1lkyz6UloEUYzQxnVnJILieSxzRJZBvqbOOdT4qDOXtXQua0v5VM7ZNFPUkOQTm9LDOTygs2KZThS/KcgXKc9K40E99yF9z6Fzg8FgtVgoUhcVUhenP60bDAZaOTpvScSNaMHjVVPJ0my1mMxZpjElTSFpfosEeUZdTfjzQOgcMCAGSnyotTxCKzBHapM+XWpmkTnTQ7W8qGG4qXUo6dRIrGN/EvjW1NS5TJfEkFkilzF5AQ7iuUOo0OEr9B+23lK+pMeI53q93nKxUKRuvd6oUtfr9YSS5VKQ5tWV8gQuS1WW6yuqp0xt0iCtTBaCMUVnxF/K6cVLnRNrFBOhc5cH/4JPpYqNmTx6Mz6B15eh6b9Y43nkg9NUaQAQS0mJdPgRTo2WOdLYX7mpliWh1nWrTBB5kAadq43jkvHlrNb+o82Xt4t1UeZbqhIOnet2u8v5fLmY51K3VKVus9vG3W63fr0AXDRVJl+OvKzxcsgGWHGAnNKf3EHnzhSHznU6ncVsVkjdSpK6TqdzmrYCcC5A5gA4HQ6d+7Aap2krAAAAUBf4rAIAADhnoHMAAADOGegcAACAcwY6BwAA4JyBzgEAADhnHDr3uZU4jk/TSgAAAOAw3DqX7PfMRjxJ9s/PTw8PD2EYzhfz0zQUAAAAOACHzt3d3aWbNTOpe35+ur+/j6Lo+vp6Npudpq0AAABAXRw6d3t7u8t9CZjUhWEYBEEQBGEYOirB1o8AgHcFq1enar2Kfb/OA4fO3dzcZL4Eu12SeqsSqft2Ov369etj6Zzf0jZsFrdnTpJEdfxheVXDV5v1t1CjIRFcGvIetPrWy2WyvB2+7u5CHUMLWCZtd35uVu7c41ZskqmdxlMrEo859ldqanrO+r5o5ea/rjrkTIXMZf+BzlXB1idr9B/lw06P0J8k9lujGg6dC8Mw3axZl7pC7YIgcFRSW+dS1VIcDRQTHcWuPH2r2WyqfgW8RktxW41aIrhAyJf8UnLI9v6qq3Xb6/dlZxnP0wxJCk8Cy3aWeR7x4MSnRPY7EUtZ2mk5NeIRfZTRv3pTp4HX9jxu+aBsyqwl2yj2cVZlDjrnwtUnJWMeU/9hvjyiBcVhfc+hc0EQxJtoG2+229RbNZe65Kg6l6Iavymv+Ivm1aPqbScGfHJxY42OzOAyoaIjO8OYXMC9YKqJ2aSCPyh7x+wn7tDKyj6rtlNz1fMCVPafC1jGaeBRx1XhuPqJyJ+sZLWKTbXNWLx/dQMqY//JdY47itPs1klnIw6dG4/HmyhiUrdXpW48HktFy3lDZaaQeLoVHm/KmybXb78lu53mosZSrtgcpam4QmWfVT87i5ZfnigeQV4G5GY0Wh5rN2N+s/MbnLwmQ6t6H7tMXPPgy+5+Wsdn1XZqcsqLUsNnlTtwSl8llGPwj1abVcuM+MhVQTznxq5zZhfGhKf3J0I3NrsTV8Whc77vR+v1JlqrUrfNpW7/9JT4vmh6qj4WKySoRXxJuXGp2UDc6OpdJpeHoU/UcuW0mIITKuocsUcvakLUdxlQe+3KOqfECWxk1W9adqNrefRbvZiXs4wANXTOeGp5PUce+ev4iaszxlmKUYTV2EJ/1e97/Ykih9C5SugdicxbKvPqtv6TfdWTwr/jPp8bjUbRalVIXRynNuKl1CXJfjQa8WJMRtSXPKITNKvMaI/naA5F50h12auXjefgJ36R8IcG1XSOLSKxftPVcskzoIaabRFdnXnLCvHcOzFvmVtXe8G0bKU92KRP4FhoHQRT+KweiHbJyDKmoM+vh6n/pB+2/i6P2utfEofODYfD9XK5Xq2i9SqTuo0qdfv9cDjkxUw6R1dFEvkoREsVCk3n+JQmUcwGkU71QKXOmWZETTXKidC5C4XfXzbJoi+lRRDFCG1cd0YiKJ7HMkdkGeRr6pxDjY86c1lL57K2lE/lnE0zRQ1JPrEpPZzDAzorlulE8ZuCfJHyrDQe1HMf0vccOjcYDFaLhSJ1USF1cfrTusFgoJWj85ZE3NS1IkqWZqvFF4+YpzElTWHHJmpaaiwvrj4PhM4BA2KgxIdayyO0AnOkNunTpWYWmTM9VMuLGoabWoeSTo3EOvYngW9NTZ3LdEkMmSVyGZMX4CCeO4QKHb5C/2HrLeVLeox4rtfrLRcLRerW640qdb1eTyhZLkNpXl0pT+CyVGW5vqJ6ytQm/QVcmSwEY9pspZZVL66qoFajmAiduzz4F3wqVWzM5NGb8Qm8vgxN/8UazyMfnKZKA4BYSkqkw49warTMkcb+yk21LAm1rltlgsiDNOhcbRyXjC9ntfYfbb68XayLMt9SlXDoXLfbXc7ny8U8l7qlKnWb3Tbudrv16wXgoqky+XLkZY2XQzbAigPklP7kDjp3pjh0rtPpLGazQupWktR1Op3TtBWAcwEyB8DpcOjch9U4TVsBAACAusBnFQAAwDkDnQMAAHDOQOcAAACcM9A5AAAA5wx0DgAAwDnj0LnPrcRxfJpWAgAAAIfh1rlkv2c24kmyf35+enh4CMNwvpifpqEAAADAATh07u7uLt2smUnd8/PT/f19FEXX19ez2ew0bQUAAADq4tC529vbXe5LwKQuDMMgCIIgCMPQUQm2fgQAvCtYvTpV61Xs+3UeOHTu5uYm8yXY7ZLUW5VI3bfT6devXx9L56hdKk0SvbuJKYLu1pPnNhc31mhIBJeGvAetvvVymSxvh6+7u1DH0AKWSdudn5uVO/e4FZtkaqfx1IrEY479lZqanrO+L1q5+a+rDjlTIXPZf6BzVbD1yRr9R/mw0yP0J4n91qiGQ+fCMEw3a9alrlC7IAgcldTWuVS1FEcDxURHsStP32o2m1IlpamOpbitRi0RXCDkS34pOWR7f9XVuu31+7KzjOdphiSFJ4FlO8s8j3hw4lMi+52IpSzttJwa8Yg+yuhfvanTwGt7Hrd8UDZl1pJtFPs4qzIHnXPh6pOSMY+p/zBfHtGC4rC+59C5IAjiTbSNN9tt6q2aS11yVJ1LUY3flFf8RfPqUaxElTm5uLFGR2ZwmVDRkZ1hTC7gXjDVxGxSwR+UvWP2E3doZWWfVdupuep5ASr7zwUs4zTwqOOqcFz9RORPVrJaxabaZizev7oBlbH/5DrHHcVpduuksxGHzo3H400UManbq1I3Ho+loqUDnDJTSGYVC4835U2T67ffkt1Oc/dwh/eqqbhCZZ9VPzuLll+eKB5BXgbkZjRaHms3Y36z8xucvCZDq3ofu0xc8+DL7n5ax2fVdmpyyotSw2eVO3BKXyWUY/CPVptVy4z4yFVBPOfGrnNmF8aEp/cnQjc2uxNXxaFzvu9H6/UmWqtSt82lbv/0lPi+aHpaaoPfapSi1CK+pNy41GwgbnT1LpMF6WIW4y+mc8QevXh2h6jvMqD22pV1TokT2Miq37TsRtfy6Ld6MS9nGQFq6Jzx1PJ6jjzy1/ETV2eMsxSjCKuxhf6q3/f6E0UOoXOV0DsSmbdU5tVt/Sf7qieFf8d9PjcajaLVqpC6OE5txEupS5L9aDTixZiMqC95RCdoVpnRHs/RHJp0VQsHFSrHc/ATv0j4Q4NqOscWkVi/6Wq55BlQQ822iK7OvGWFeO6dmLfMrau9YFq20h5s0idwLLQOgil8Vg9Eu2RkGVPQ59fD1H/SD1t/l0ft9S+JQ+eGw+F6uVyvVtF6lUndRpW6/X44HPJiJp0jqyKpfBSi5RAqPqWpr6xsOANA6T1Dje4DQecuCH5/2SSLvpQWQRQjtHHdGYmgeB7LHJFlkK+pcw41PurMZS2dy9pSPpVzNs0UNST5xKb0cA4P6KxYphPFbwryRcqz0nhQz31I33Po3GAwWC0WitRFhdTF6U/rBoOBVo7OWxJxYxOJNEuz1WIyZ5nGdDyLE7NIxdXngdA5YEAMlPhQa3mEVmCO1CZ9utTMInOmh2p5UcNwU+tQ0qmRWMf+JPCtqalzmS6JIbNELmPyAhzEc4dQocNX6D9svaV8SY8Rz/V6veVioUjder1Rpa7X6wkly2Uozasr5Qlclqos11dUT/8JXPZOmSwEY1rAJv/GTileZhNrFBOhc5cH/4JPpYqNmTx6Mz6B15eh6b9Y43nkg9NUaQAQS0mJdPgRTo2WOdLYX7mpliWh1nWrTBB5kAadq43jkvHlrNb+o82Xt4t1UeZbqhIOnet2u8v5fLmY51K3VKVus9vG3W63fr0AXDRVJl+OvKzxcsgGWHGAnNKf3EHnzhSHznU6ncVsVkjdSpK6TqdzmrYCcC5A5gA4HQ6d+7Aap2krAAAAUBf4rAIAADhnoHMAAADOGegcAACAcwY6BwAA4JyBzgEAADhnHDr3uZU4jk/TSgAAAOAw3DqX7PfMRjxJ9s/PTw8PD2EYzhfz0zQUAAAAOACHzt3d3aWbNTOpe35+ur+/j6Lo+vp6Npudpq0AAABAXRw6d3t7u8t9CZjUhWEYBEEQBGEYOirB1o8AgHcFq1enar2Kfb/OA4fO3dzcZL4Eu12SeqsSqft2Ov369etj6Zzf0jZsLjaHlvdoVvdx1rd8Nhc31mhIBJeGvAetvvVymSxvh6+7u1DH0AKWSdudn5uVO/e4FZtkaqfx1IrEY479lZqanrO+L1q5+a+rDjlTIXPZf6BzVbD1yRr9R/mw0yP0J4n91qiGQ+fCMEw3a9alrlC7IAgcldTWuVS1FEcDxYNAsStP32o2S4cC8rbqSGAobqtRSwQXCPmSX0oO2d5fdbVue/2+7CzjeZohSeFJYNnOMs8jHpz4lMh+J2IpSzstp0Y8oo8y+ldv6jTw2p7HLR+UTZm1ZBvFPs6qzEHnXLj6pGTMY+o/zJdHtKA4rO85dC4IgngTbePNdpt6q+ZSlxxV51JU4zflFX/RvHoklUh2OebixhodmcFlQkVHdoYxuYB7wVQTs0kFf1D2jtlP3KGVlX1WbafmqucFqOw/F7CM08CjjqvCcfUTkT9ZyWoVm2qbsXj/6gZUxv6T6xx3FKfZrZPORhw6Nx6PN1HEpG6vSt14PJaKlgZ0ykwhn1FUnOJU2zjNT1x0O81tyKm45cdRYziTu3hJZZ9VPzuLll+eKB5BXgbkZjRaHms3Y36z8xucvCZDq3ofu0xc8+DL7n5ax2fVdmpyyotSw2eVO3BKXyWUY/CPVptVy4z4yFVBPOfGrnNmF8aEp/cnQjc2uxNXxaFzvu9H6/UmWqtSt82lbv/0lPi+aHpaaoPfapSi1CKBFjcuNRuIG129y2RVugo5JfOXL6ZzxB69qAFR32VA7bUr65wSJ7CRVb9p2Y2u5dFv9WJezjIC1NA546nl9Rx55K/jJ67OGGcpRhFWYwv9Vb/v9SeKHELnKqF3JDJvqcyr2/pP9lVPCv+O+3xuNBpFq1UhdXGc2oiXUpck+9FoxIsxGTFIUIMpFJcKdzxHc8jzlkVE97LfBIiAAAAgAElEQVTxHPzELxL+0KCazrFFJNZvuloueQbUULMtoqszb1khnnsn5i1z62ovmJattAeb9AkcC62DYAqf1QPRLhlZxhT0+fUw9Z/0w9bf5VF7/Uvi0LnhcLheLterVbReZVK3UaVuvx8Oh7yYSefoqkgiH4VoqUKh6Ryf0iSK2SDSqdaevRKK66cLnQNG+P1lkyz6UloEUYzQxnVnJILieSxzRJZBvqbOOdT4qDOXtXQua0v5VM7ZNFPUkOQTm9LDOTygs2KZThS/KcgXKc9K40E99yF9z6Fzg8FgtVgoUhcVUhenP60bDAZaOTpvScSNBVo0S7PVYjJnmcaUNEWd/mxq06NScfV5IHQOGBADJT7UWh6hFZgjtUmfLjWzyJzpoVpe1DDc1DqUdGok1rE/CXxraupcpktiyCyRy5i8AAfx3CFU6PAV+g9bbylf0mPEc71eb7lYKFK3Xm9Uqev1ekLJchlK8+pKkaAsVVmur6ieMrXJH7JpP4ojFUqLXcSjUgkmkSavUUyEzl0e/As+lSo2ZvLozfgEXl+Gpv9ijeeRD05TpQFALCUl0uFHODVa5khjf+WmWpaEWtetMkHkQRp0rjaOS8aXs1r7jzZf3i7WRZlvqUo4dK7b7S7n8+VinkvdUpW6zW4bd7vd+vUCcNFUmXw58rLGyyEbYMUBckp/cgedO1McOtfpdBazWSF1K0nqOp3OadoKwLkAmQPgdDh07sNqnKatAAAAQF3gswoAAOCcgc4BAAA4Z6BzAAAAzhnoHAAAgHMGOgcAAOCccejc51biOD5NKwEAAIDDcOtcst8zG/Ek2T8/Pz08PIRhOF/MT9NQAAAA4AAcOnd3d5du1syk7vn56f7+Poqi6+vr2Wx2mrYCAAAAdXHo3O3t7S73JWBSF4ZhEARBEIRh6KgEWz8CAN4VrF6dqvUq9v06Dxw6d3Nzk/kS7HZJ6q1KpO7b6fTr16+PpXN+S9uwudgcWjscdfxJlP2iVX8gq/W3UKMhEVwa8h60+tbLZbK8Hb7u7kIdQwtYJm13fm5W7tzjVmySqZ3GUysSjzn2V2pqes76vmjl5r+uOuRMhcxl/4HOVcHWJ2v0H+XDTo/QnyT2W6MaDp0LwzDdrFmXukLtgiBwVFJb51LVUhwNFBMdxa48favZLC12yNuiWw8vbqtRSwQXCPmSX0oO2d5fdbVue/2+7CzjeZohSeFJYNnOMs8jHpz4lMh+J2IpSzstp0Y8oo8y+ldv6jTw2p7HLR+UTZm1ZBvFPs6qzEHnXLj6pGTMY+o/zJdHtKA4rO85dC4IgngTbePNdpt6q+ZSlxxV51JU4zflFX/RvHosK+GWqrpZ+dv4rIILh4qO7AxjcgH3gqkmZpMK/qDsHbOfuEMrK/us2k7NVc8LUNl/LmAZp4FHHVeF4+onIn+yktUqNtU2Y/H+1Q2ojP0n1znuKE6zWyedjTh0bjweb6KISd1elbrxeCwVLQ3olJlC4ulWeLwpb5pcv/2W7HaaC5lZ5xot31xcobLPqp+dRXZk22QoODPIzWi0PNZuxvxm5zc4eU2GVvU+dpm45sGX3f20js+q7dTklBelhs8qd+CUvkoox+AfrTarlhnxkauCeM6NXefMLowJT+9PhG5sdieuikPnfN+P1utNtFalbptL3f7pKfF90fS01Aa/1ShFqaUZfatTi7KBuNHVu0xWD0PmLRuNlm8zBSdU1Dlij148u0PUdxlQe+3KOqfECWxk1W9adqNrefRbvZiXs4wANXTOeGp5PUce+ev4iaszxlmKUYTV2EJ/1e97/Ykih9C5SugdicxbKvPqtv6TfdWTwr/jPp8bjUbRalVIXRynNuKl1CXJfjQa8WJMRtSXPKITNKvMaI/naA6lErLi5KqVh3svGM/BT/wi4Q8NqukcW0Ri/aar5ZJnQA012yK6OvOWFeK5d2LeMreu9oJp2Up7sEmfwLHQOgim8Fk9EO2SkWVMQZ9fD1P/ST9s/V0etde/JA6dGw6H6+VyvVpF61UmdRtV6vb74XDIi5l0jq6KJPJRiJYqFJrO8dlIopgNVTqVprCoUTuyqUY5ETp3ofD7yyZZ9KW0CKIYoY3rzkgExfNY5ogsg3xNnXOo8VFnLmvpXNaW8qmcs2mmqCHJJzalh3N4QGfFMp0oflOQL1KelcaDeu5D+p5D5waDwWqxUKQuKqQuTn9aNxgMtHJ03pKIG9ECOrmYPF41m60WkznLNKakKaLOsAp5cfV5IHQOGBADJT7UWh6hFZgjtUmfLjWzyJzpoVpe1DDc1DqUdGok1rE/CXxraupcpktiyCyRy5i8AAfx3CFU6PAV+g9bbylf0mPEc71eb7lYKFK3Xm9Uqev1ekLJchlK8+pKfXSWpirL9RXVU6Y2aZBWJgvBGNdQfW2IXrzUObFGMRE6d3nwL/hUqtiYyaM34xN4fRma/os1nkc+OE2VBgCxlJRIhx/h1GiZI439lZtqWRJqXbfKBJEHadC52jguGV/Oau0/2nx5u1gXZb6lKuHQuW63u5zPl4t5LnVLVeo2u23c7Xbr1wvARVNl8uXIyxovh2yAFQfIKf3JHXTuTHHoXKfTWcxmhdStJKnrdDqnaSsA5wJkDoDT4dC5D6txmrYCAAAAdYHPKgAAgHMGOgcAAOCcgc4BAAA4Z6BzAAAAzhnoHAAAgHPGoXOfW4nj+DStBAAAAA7DrXPJfs9sxJNk//z89PDwEIbhfDE/TUMBAACAA3Do3N3dXbpZM5O65+en+/v7KIqur69ns9lp2goAAADUxaFzt7e3u9yXgEldGIZBEARBEIahoxJs/QgAeFewenWq1qvY9+s8cOjczc1N5kuw2yWptyqRum+n069fvz6WzuUWqTxJ3Z9ZsS0XDegebcVdNRoSwaUh70Grb71cJsvb4evuLtQxtIBl0nbn52blzj1uxSaZ2mk8tSLxmGN/paam56zvi1Zu/uuqQ85UyFz2H+hcFWx9skb/UT7s9Aj9SWK/Narh0LkwDNPNmnWpK9QuCAJHJbV1LrXyURwNFBMdYvsjHVvMKRd31qglgguEfMkvJYds76+6Wre9fl92lvE8zZCk8CSwbGeZ5xEPTnxKZL8TsZSlnZZTIx7RRxn9qzd1Gnhtz+OWD8qmzFqyjWIfZ1XmoHMuXH1SMuYx9R/myyNaUBzW9xw6FwRBvIm28Wa7Tb1Vc6lLjqpzKarxm/KqfCEcW8xpKG6r0ZEZXCZUdGRnGJMLuBdMNTGbVPAHZe+Y/cQdWlnZZ9V2aq56XoDK/nMByzgNPOq4KhxXPxH5k5WsVrGpthmL969uQGXsP7nOcUdxmt066WzEoXPj8XgTRUzq9qrUjcdjqagyoVhqEfF0KzzelDdNrt+5MXjxqrBu5VbiYk5DcZXKPqt+dhYtv2wBHkFeBuRmNFoeazdjfrPzG5y8JkOreh+7TFzz4MvuflrHZ9V2anLKi1LDZ5U7cEpfJZRj8I9Wm1XLjPjIVUE858auc2YXxoSn9ydCNza7E1fFoXO+70fr9SZaq1K3zaVu//SU+L5oelpqg99qlD6rLeJLyo1LzQbiVlfvMkPz6tGQ01lcqsRUc0PR2HJaFFHf+UPttSvrnBInsJFVv2nZja7l0W/1Yl7OMgLU0DnjqeX1HHnkr+Mnrs4YZylGEVZjC/1Vv+/1J4ocQucqoXckMm+pzKvb+k/2VU8K/477fG40GkWrVSF1cZzaiJdSlyT70WjEizEZUV/yiK54m0tFpXhOqPUE8Rz8xC8S/tCgms6xRSTWb7paLnkG1FCzLaKrM29ZIZ57J+Ytc+tqL5iWrbQHm/QJHAutg2AKn9UD0S4ZWcYU9Pn1MPWf9MPW3+VRe/1L4tC54XC4Xi7Xq1W0XmVSt1Glbr8fDoe8mEnn0oUdWvBWhFyqUGg6Z5rSZDnEnO7ipnToHEgS/f6ySRZ9KS2CKEZo47ozEkHxPJY5IssgX1PnHGp81JnLWjqXtaV8KudsmilqSPKJTenhHB7QWbFMJ4rfFOSLlGel8aCe+5C+59C5wWCwWiwUqYsKqYvTn9YNBgOtHJ23JOJGtODxqqlkabZaTWEmUp7GLI/jt8hTOaOEmhLV54HQOWBADJT4UGt5hFZgjtQmfbrUzCJz/397546cyu518TstD4jQA7gToDMXE6CYAAQURZWqbZdv4sQJ6cnOTfjHPBswbdcX9Gvvra1Hc93U+WD9IiOklhrUWmxJ1nItqlVFHcNNq0tpt0ZiHf9K4H+mpc6VuqSGzBqVjOkbcBDPXUJEh4/oP2K/pf6VdhHPDYfD7WbDpG6/P3CpGw6HSslmf8jD0xMTmzKVbddnqsemNukOkyZZrpfJfSBqTjux0Tm1RjUROnd/yB/4VKrEmCmjN+cKvL0Nzf6PNZlHvzhN1QYAtZSWSIcf5dZomY7G/uimeraEevetCkGUQRp0rjWBr0xuZ/X2H2u+/LHeF+V+pKII6NxgMNiu19vNupK6LZe6w+fpOBgM2tcLwF0TM/nS8bbG+6EcYNUBckn/5Q46d6MEdK7f729Wq1rqdprU9fv967QVgFsBMgfA9Qjo3N9xXKetAAAAQFvgswoAAOCWgc4BAAC4ZaBzAAAAbhnoHAAAgFsGOgcAAOCWCejcP16Ox+N1WgkAAABcRljn8vNZ2Ijn+fn7++vj4yNN0/VmfZ2GAgAAABcQ0Lm3t7fisGYhdd/fX+/v71mWPT8/r1ar67QVAAAAaEtA515fXz8rXwIhdWmaGmOMMWmaBirB0Y8AgD8Fr1cnt17FuV+3QUDnXl5eSl+Cz8+88FYlUve/5fLf37+70rlZjx/DnKtnNjPbcmEGFFE8VKMjEdwb+hm09tHLTbJ+HL7t7kIdQ2tEJut0fmlWHjzjVm2Sq53OW6sTuxz7o5pa3LN9Llpz+G+oDj1TLXPlH9C5GHx9skX/YR92cYXRIvc/GnEEdC5N0+KwZlvqarUzxgQqaa1zhZUPczRgJjrE9ke7doviwSJWIrhDyI/8RnLI8f7c1foxGY10Z5kksQxJak8Cz3GWVR714sSnRPc7UUt52um5NeIR3cnoH9/UpUkek0RaPrBDma1kH/U5zlzmoHMhQn1SM+Zx9R/hy6NaUFzW9wI6Z4w5HrLT8XA6Fd6qldTlnepcATd+Y6+aF+5rRxX3FQlkBvcJFR3dGcblAp6YpSVmiwh/UPGO2088oJXRPqu+WwvV8wNE+88ZkXFpEuq4qlzXvhH9k9WsVnGothuP969tQOXsP5XOSUdxmt076ewkoHPz+fyQZULqzlzq5vO5VpRNKDZaRDzdao839qbL9XvWU91OSTVKiBYsnnuK6Imz3l8PT7PyLkqnct9kKLgxyMPotDy2HsbqYZcPOHlNhlb+HIdMXKvgy+9+2sZn1XdresqP0sJnVTpwaj8l2DXkR2vNqpVGfORbQTwXxq9zbhfGXKaPFko3drsTxxLQudlslu33h2zPpe5USd356yufzexgh80MMqfvHvEllcalbgNxr6t3k4EltSuu5XIV/YtpbPEeor77gNprR+scixPEyGo/tOJBt/LYj3o9L+cZAVronPPWqno6Hvnb+InzGeMyxSnCPLawX41GyWjB5BA6F4Xdkci8JZtX9/Wf8qeeFv51uz43nU6z3a6WuuOxsBFvpC7Pz9PpVBYTMsJfyoiufltKRduATKR1Gc/BT/wukYsGcTonNpF4f+laufQZUEfNvoiuzbxlRDz3R8xbVtbViVk2rfQHm3QFToTWxizhs3oh1ldGtjGZkfw+XP2n+LDtd2XU3v4rCejcZDLZb7f73S7b70qpO3CpO58nk4ks5tK5YmOHFbwV7/96euBCYQmVa0pTr7VtcVc6dA7kuf18+SSLvtQ2QdQjtHPfGYmgZB7PHJFnkG+pcwE17nTmspXOlW1pVuWCTXNFDXk1saktzmGBzotnOlH9paB/SVVWGg/auS/pewGdG4/Hu82GSV1WS92x+Ne68XhslaPzlkTciBb8enpgWR56vQdlJlKfxmyuM+tVOcjsaHRxOdcJnQMqaqAkh1rPElqNO1JbjOhWM4/MuRbVqqKO4abVpbRbI7GOfyXwP9NS50pdUkNmjUrG9A04iOcuIaLDR/Qfsd9S/0q7iOeGw+F2s2FSt98fuNQNh0OlZLM/5OHpia3Alalsuz5TPTa1SXeYNMlyvYzvA4ku3uicWkRNhM7dH/IHPpUqMWbK6M25Am9vQ7P/Y03m0S9OU7UBQC2lJdLhR7k1WqajsT+6qZ4tod59q0IQZZAGnWtN4CuT21m9/ceaL3+s90W5H6koAjo3GAy26/V2s66kbsul7vB5Og4Gg/b1AnDXxEy+dLyt8X4oB1h1gFzSf7mDzt0oAZ3r9/ub1aqWup0mdf1+/zptBeBWgMwBcD0COvd3HNdpKwAAANAW+KwCAAC4ZaBzAAAAbhnoHAAAgFsGOgcAAOCWgc4BAAC4ZQI694+X4/F4nVYCAAAAlxHWufx8FjbieX7+/v76+PhI03S9WV+noQAAAMAFBHTu7e2tOKxZSN3399f7+3uWZc/Pz6vV6jptBQAAANoS0LnX19fPypdASF2apsYYY0yapoFKcPQjAOBPwevVya1Xce7XbRDQuZeXl9KX4PMzL7xVidT9b7n89/fvrnRu1rM8wpUzm5ltudO13Fk8VKMjEdwb+hm09tHLTbJ+HL7t7kIdQ2tEJut0fmlWHjzjVm2Sq53OW6sTuxz7o5pa3LN9Llpz+G+oDj1TLXPlH9C5GHx9skX/YR92cYXRIvc/GnEEdC5N0+KwZlvqarUzxgQqaa1zhZUPczRgJjrE9kc3XGWC1xh+28WDNVqJ4A4hP/IbySHH+3NX68dkNNKdZZLEMiSpPQk8x1lWedSLE58S3e9ELeVpp+fWiEd0J6N/fFOXJnlMEmn5wA5ltpJ91Oc4c5mDzoUI9UnNmMfVf4Qvj2pBcVnfC+icMeZ4yE7Hw+lUeKtWUpd3qnMF3PiNvWpehK5dubc6ivtqDGQG9wkVHd0ZxuUCnpilJWaLCH9Q8Y7bTzygldE+q75bC9XzA0T7zxmRcWkS6riqXNe+Ef2T1axWcai2G4/3r21A5ew/lc5JR3Ga3Tvp7CSgc/P5/JBlQurOXOrm87lWlE0oumcUmdUp9z21DME1t1NSjSpGVTFHcU60z+qsvIverGkBliDvA/IwOi2PrYexetjlA05ek6GVP8chE9cq+PK7n7bxWfXdmp7yo7TwWZUOnNpPCXYN+dFas2qlER/5VhDPhfHrnNuFMZfpo4XSjd3uxLEEdG42m2X7/SHbc6k7VVJ3/vrKZzNbX9jMIHH6/vXUI76k0rjU7QDudfVuMigzmMRH9cd07i+msc20KKK+24faa0frHIsTxMhqP7TiQbfy2I96PS/nGQFa6Jzz1qp6Oh752/iJ8xnjMsUpwjy2sF+NRsloweQQOheF3ZHIvCWbV/f1n/Knnhb+dbs+N51Os92ulrrjsbARb6Quz8/T6VQWEzLCX1p7RKq3pVRExXPuWi2x/cF4Dn7id4lcNIjTObGJxPtL18qlz4A6avZFdG3mLSPiuT9i3rKyrk7MsmmlP9ikK3AitDZmCZ/VC7G+MrKNyYzk9+HqP8WHbb8ro/b2X0lA5yaTyX673e922X5XSt2BS935PJlMZDGXzhUbO6zgrXi/WkmrsXTONaWp5ZB7TcLFXenQOZDn9vPlkyz6UtsEUY/Qzn1nJIKSeTxzRJ5BvqXOBdS405nLVjpXtqVZlQs2zRU15NXEprY4hwU6L57pRPWXgv4lVVlpPGjnvqTvBXRuPB7vNhsmdVktdcfiX+vG47FVjqoMETeiBb+eHliWh17vQZmJ1Kcxm+vMelUONjuqTGFqxWVG6BxQUQMlOdR6ltBq3JHaYkS3mnlkzrWoVhV1DDetLqXdGol1/CuB/5mWOlfqkhoya1Qypm/AQTx3CREdPqL/iP2W+lfaRTw3HA63mw2Tuv3+wKVuOBwqJZv9IQ9PT2wFrkxl2/WZ6rGpTbrDpEn2/lMc3wHzF5dWVrzRObVGNRE6d3/IH/hUqsSYKaM35wq8vQ3N/o81mUe/OE3VBgC1lJZIhx/l1miZjsb+6KZ6toR6960KQZRBGnSuNYGvTG5n9fYfa778sd4X5X6kogjo3GAw2K7X2826krotl7rD5+k4GAza1wvAXRMz+dLxtsb7oRxg1QFySf/lDjp3owR0rt/vb1arWup2mtT1+/3rtBWAWwEyB8D1COjc33Fcp60AAABAW+CzCgAA4JaBzgEAALhloHMAAABuGegcAACAWwY6BwAA4JYJ6Nw/Xo7H43VaCQAAAFxGWOfy81nYiOf5+fv76+PjI03T9WZ9nYYCAAAAFxDQube3t+KwZiF1399f7+/vWZY9Pz+vVqvrtBUAAABoS0DnXl9fPytfAiF1aZoaY4wxaZoGKsHRjwCAPwWvVye3XsW5X7dBQOdeXl5KX4LPz7zwViVS97/l8t/fv7vSuVnP8gi3z2zmhzYrycKbx2v9rdToSAT3hn4GrX30cpOsH4dvu7tQx9Aakck6nV+alQfPuFWb5Gqn89bqxC7H/qimFvdsn4vWHP4bqkPPVMtc+Qd0LgZfnxS2jL4OxD7sIvNokfsfjTgCOpemaXFYsy11tdoZYwKVtNa5wsqHORowEx1i+6Nd+9fTQ/MuNTuwiwdrtBLBHUJ+5DeSQ473567Wj8lopDvLJIllSFJ7EniOs6zyqBcnPiW634laytNOz60Rj+hORv/4pi5N8pgk0vKBHcpsJfuoz3HmMgedCxHqkwtiDKg8RAzhy6NaUFzW9wI6Z4w5HrLT8XA6Fd6qldTlnepcATd+Y6+aF4FrM6s5pbivxkBmcJ9Q0dGdYVwu4IlZWmK2iPAHFe+4/cQDWhnts+q7tVA9P0C0/5wRGZcmoY6rynXtG9E/Wc1qFYdqu/F4/9oGVK7EWuekozi9nnfS2UlA5+bz+SHLhNSdudTN53OtKHeBq7WIeLrVHm/sTZfr96ynup2SahQxooasLrNUQrTP6qy8i96saQGWIO8D8jA6LY+th7F6rqVAkNdkaOXPccjEtQq+/O6nbXxWfbemp/woLXxWpQOn9lOCXUN+tNasbGnER74VxHNh/Dqn+tG74jmlG7vdiWMJ6NxsNsv2+0O251J3qqTu/PWVz2aqvjTawJy+e9QNVRiXug3Eva7eTQZLTeOLa7lcRf9iGlu8h6jvPqD22tE6x+IEMbLaD6140K089qNez8t5RoAWOue8taqejkf+Nn7ifMa4THGKMA8j7FejUTJaMDmEzkVhdyQyb+lxG85luho4d74+N51Os92ulrrjsbARb6Quz8/T6VQWEzLCX8qIrn5bSkVUPOeutUxqNOkH4zn4id8lctEgTufEJpLAL12RS58BddTsi+jazFtGxHN/xLxlZV2dmGXTSn+wSVfgRGhtzBI+qxdifWVkG5OxdrB69j4VMbpzct9f3k1A5yaTyX673e922X5XSt2BS935PJlMZDGXzhUbO6zgrXj/19MDFwpL51xTmnqtPDFc3JUOnQN5bj9fPsmiL7VNEPUIrT+wPIKSeTxzRJ5BvqXOheeduhO6VjpXtqVZlQs2zRU15NXEprY4hwU6L57pRPZLwS9SVVYaD5bpUX3cTUDnxuPxbrNhUpfVUncs/rVuPB5b5ei8JRE3ogW/nh5Ylode70GZidSnMemyW5WjCd2a7ZZ0MlMrztcDoXPAgRooyaHWs4RW447UFiO61cwjc65FtaqoYxhpdSnt1kis418J/M+01LlSl9SQWaOSMX0DDuK5S4jt8MFvhn2n6lfaRTw3HA63mw2Tuv3+wKVuOBwqJZv9IQ9PT2wFrkxl2/WZ6rGpTbrM1iTL9TKxD8SaGnUUb3ROrVFNhM7dH/IHPn1yxZgpozfnyoS948z+jzWZR784TdUGALWUlkgHIuXWaJmOxv7opnq2hHr3rQpBlEEadK41ga+M65P2EBGs+fLHel+U+5GKIqBzg8Fgu15vN+tK6rZc6g6fp+NgMGhfLwB3TczkS8fbGu+HcthVB8gl/Zc76NyNEtC5fr+/Wa1qqdtpUtfv96/TVgBuBcgcANcjoHN/x3GdtgIAAABtgc8qAACAWwY6BwAA4JaBzgEAALhloHMAAABuGegcAACAWyagc/94OR6P12klAAAAcBlhncvPZ2Ejnufn7++vj4+PNE3Xm/V1GgoAAABcQEDn3t7eisOahdR9f3+9v79nWfb8/Lxara7TVgAAAKAtAZ17fX39rHwJhNSlaWqMMcakaRqoBEc/AgD+FLxenQvLRQbnfv3/J6BzLy8vpS/B52deeKsSqfvfcvnv799d6dysZ3mEK2c2M9tyxfCApmlHPgdqdCSCe0M/w9g+erlJ1o/Dt8+vpY6hrkNurdP5pVl58IxbtUmudjpvrU7scuyPampxz/a5aM3hv6E69Ey1zJV/QOdi8PXJFv2HfdjFFUaL3P9oxBHQuTRNi8Oabamr1c4YE6iktc4VAsUcDZiJDrH9cV/719PDw8MDMwKyiwdrtBLBHUJ+5DeSQ473567Wj8lopDvLJIllTVJ7EniOs6zyqBcnPiW684laytNOz60Rj+hORv/4pi5N8pgk0vKBHcpsJfuoz3HmMgedCxHqk8yhI9B/hC+PakFxWd8L6Jwx5njITsfD6VR4q1ZSl3eqcwXc+I29al64rl24ts56iv3cf/NZBXcOFR3dGcblAp6YpSVmiwh/UPGO2088oJXRPqu+WwvV8wNE+88ZkXFpEuq4qlzXvhH9k9WsVnGothuP969tQOXsP5XOSUdxmt076ewkoHPz+fyQZULqzlzq5vO5VpRNKDZaJK3hmNUp9z21/MQ1t1NSDY/EhIu4ozgn2md1Vt5Fb9a0AEuQ9wF5GJ2Wx9bDWD3s8gEnr7VOmYUAABtgSURBVMnQyp/jkIlrFXz5fSzb+Kz6bk1P+VFa+KxKB07tpwS7hvxorVm10oiPfCuI58L4dc7twpjL9NFC6cZud+JYAjo3m82y/f6Q7bnUnSqpO3995bOZHeywmcHG6Tv/9dQjvqTSuNRtIO519W4yWNdhzuE/pnN/MY0t3kPUdx9Qe+1onWNxghhZ7YdWPOhWHvtRr+flPCNAC51z3lpVT8cjfxs/cT5jXKY4RZjHFvar0SgZLZgcQueisDsSmbdk8+q+/lP+1NPCv27X56bTabbb1VJ3PBY24o3U5fl5Op3KYkJG+EvL7Lt6W0pFVDxn10qLdRXPwU/8LpGLBnE6JzaReH/pWrn0GVBHzb6Irs28ZUQ890fMW1bW1YlZNq30B5t0BU6E1sYs4bN6IdZXRrYxmZH8Plz9p/iw7Xdl1N7+Kwno3GQy2W+3+90u2+9KqTtwqTufJ5OJLObSOboBkshH8X4111hj6ZxrSpPlIDJKZzTDxV3p0DmQ5/bz5ZMs+lLbBFGP0M59ZySCknk8c0SeQb6lzgXUuNOZy1Y6V7alWZULNs0VNeTVxKa2OIcFOi+e6UT1l4L+JVVZaTxo576k7wV0bjwe7zYbJnVZLXXH4l/rxuOxVY7OWxJxI1rw6+mBZXno9R6UmUh9GpOGaSR0c4Z4ruJ8PRA6BxyogZIcaj1LaDXuSG0xolvNPDLnWlSrijqGm1aX0m6NxDr+lcD/TEudK3VJDZk1KhnTN+AgnruEiA4f0X/Efkv9K+0inhsOh9vNhkndfn/gUjccDpWSzf6Qh6cntgJXprLt+kz12NQm3WHSJMv1Mtc+ECuK48UbnVNrVBOhc/eH/IFPpUqMmTJ6c67A29vQ7P9Yk3n0i9NUbQBQS2mJdPhRbo2W6Wjsj26qZ0uod9+qEEQZpEHnWhP4yuR2Vm//sebLH+t9Ue5HKoqAzg0Gg+16vd2sK6nbcqk7fJ6Og8Ggfb0A3DUxky8db2u8H8oBVh0gl/Rf7qBzN0pA5/r9/ma1qqVup0ldv9+/TlsBuBUgcwBcj4DO/R3HddoKAAAAtAU+qwAAAG4Z6BwAAIBbBjoHAADgloHOAQAAuGWgcwAAAG6ZgM794+V4PF6nlQAAAMBlhHUuP5+FjXien7+/vz4+PtI0XW/W12koAAAAcAEBnXt7eysOaxZS9/399f7+nmXZ8/PzarW6TlsBAACAtgR07vX19bPyJRBSl6apMcYYk6ZpoBIc/QgA+FPwenVy61Wc+3UbBHTu5eWl9CX4/MwLb1Uidf9bLv/9/bsrnZv1+IHNuXpmM7Mtr5LVxMCRz3qNjkRwb+hn0NpHLzfJ+nH4trsLdQytEZms0/mlWXnwjFu1Sa52Om+tTuxy7I9qanHP9rlozeG/oTr0TLXMlX9A52Lw9ckW/Yd92MUVRovc/2jEEdC5NE2Lw5ptqavVzhgTqKS1zhVWPszRgJnoENsf9dpaol48WKOVCO4Q8iO/kRxyvD93tX5MRiPdWSZJLEOS2pPAc5xllUe9OPEp0f1O1FKednpujXhEdzL6xzd1aZLHJJGWD+xQZivZR32OM5c56FyIUJ/UjHlc/Uf48qgWFJf1vYDOGWOOh+x0PJxOhbdqJXV5pzpXwI3f2KvmRazOOYr7agxkBvcJFR3dGcblAp6YpSVmiwh/UPGO2088oJXRPqu+WwvV8wNE+88ZkXFpEuq4qlzXvhH9k9WsVnGothuP969tQOXsP5XOSUdxmt076ewkoHPz+fyQZULqzlzq5vO5VpTNHTayQzzdao839qbL9XvWU91OSTUsr0x0FOdE+6zOyrvozZrKsAR5H5CH0Wl5bD2M1cMuH3Dymgyt/DkOmbhWwZff/bSNz6rv1vSUH6WFz6p04NR+SrBryI/WmlUrjfjIt4J4Loxf59wujLlMHy2Ubux2J44loHOz2Szb7w/ZnkvdqZK689dXPpvZwQ6bGSRO37+eesSXVBqXug3Eva7eTQb3ZGWwuFaJq+a/mMYW7yHquw+ovXa0zrE4QYys9kMrHnQrj/2o1/NynhGghc45b62qp+ORv42fOJ8xLlOcIsxjC/vVaJSMFkwOoXNR2B2JzFuyeXVf/yl/6mnhX7frc9PpNNvtaqk7Hgsb8Ubq8vw8nU5lMSEj/KWM6Oq3pVRExXPuWnniz8Zz8BO/S+SiQZzOiU0k3l+6Vi59BtRRsy+iazNvGRHP/RHzlpV1dWKWTSv9wSZdgROhtTFL+KxeiPWVkW1MZiS/D1f/KT5s+10Ztbf/SgI6N5lM9tvtfrfL9rtS6g5c6s7nyWQii7l0rtjYYQVvxfu/nh64UFg655rS1GvlieHirnToHMhz+/nySRZ9qW2CqEdo574zEkHJPJ45Is8g31LnAmrc6cxlK50r29KsygWb5ooa8mpiU1ucwwKdF890ovpLQf+Sqqw0HrRzX9L3Ajo3Ho93mw2TuqyWumPxr3Xj8dgqR+ctibgRLfj19MCyPPR6D8pMpD6N2Vxn1iMLcN5Erbic64TOARU1UJJDrWcJrcYdqS1GdKuZR+Zci2pVUcdw0+pS2q2RWMe/EvifaalzpS6pIbNGJWP6BhzEc5cQ0eEj+o/Yb6l/pV3Ec8PhcLvZMKnb7w9c6obDoVKy2Qry8PTEVuDKVLZdn6kem9qkm0maZLleJveBqIl28Ubn1BrVROjc/SF/4FOpEmOmjN6cK/D2NjT7P9ZkHv3iNFUbANRSWiIdfpRbo2U6Gvujm+rZEurdtyoEUQZp0LnWBL4yuZ3V23+s+fLHel+U+5GKIqBzg8Fgu15vN+tK6rZc6g6fp+NgMGhfLwB3TczkS8fbGu+HcoBVB8gl/Zc76NyNEtC5fr+/Wa1qqdtpUtfv96/TVgBuBcgcANcjoHN/x3GdtgIAAABtgc8qAACAWwY6BwAA4JaBzgEAALhloHMAAABuGegcAACAWyagc/94OR6P12klAAAAcBlhncvPZ2Ejnufn7++vj4+PNE3Xm/V1GgoAAABcQEDn3t7eisOahdR9f3+9v79nWfb8/Lxara7TVgAAAKAtAZ17fX39rHwJhNSlaWqMMcakaRqoBEc/AgD+FLxendx6Fed+3QYBnXt5eSl9CT4/88JblUjd/5bLf3//7krnZj1+YHOuHs/MbMvVo5y54avP+lup0ZEI7g39DFr76OUmWT8O33Z3oY6hNSKTdTq/NCsPnnGrNsnVTuet1Yldjv1RTS3u2T4XrTn8N1SHnqmWufIP6FwMvj7Zov+wD7u4wmiR+x+NOAI6l6ZpcVizLXW12hljApW01rnCyoc5GjATHWL7o19bSdWLB2u0EsEdQn7kN5JDjvfnrtaPyWikO8skiWVIUnsSeI6zrPKoFyc+JbrfiVrK007PrRGP6E5G//imLk3ymCTS8oEdymwl+6jPceYyB50LEeqTmjGPq/8IXx7VguKyvhfQOWPM8ZCdjofTqfBWraQu71TnCrjxG3vVvNCubTm2uov7agxkBvcJFR3dGcblAp6YpSVmiwh/UPGO2088oJXRPqu+WwvV8wNE+88ZkXFpEuq4qlzXvhH9k9WsVnGothuP969tQOXsP5XOSUdxmt076ewkoHPz+fyQZULqzlzq5vO5VpRNKDZaRDzdao839qbL9XvWU91OSTXUtfXpScxROopzon1WZ+Vd9GZNC7AEeR+Qh9FpeWw9jNXDLh9w8poMrfw5Dpm4VsGX3/20jc+q79b0lB+lhc+qdODUfkqwa8iP1ppVK434yLeCeC6MX+fcLoy5TB8tlG7sdieOJaBzs9ks2+8P2Z5L3amSuvPXVz6b2cEOmxlkpt494ksqjUvdBuJeV+8mA5E+Ys368PQrXFyrxFXzX0xji/cQ9d0H1F47WudYnCBGVvuhFQ+6lcd+1Ot5Oc8I0ELnnLdW1dPxyN/GT5zPGJcpThHmsYX9ajRKRgsmh9C5KOyOROYt2by6r/+UP/W08K/b9bnpdJrtdrXUHY+FjXgjdXl+nk6nspiQEf5SRnT121IqouI5pVb+XvnqZ+M5+InfJXLRIE7nxCYS7y9dK5c+A+qo2RfRtZm3jIjn/oh5y8q6OjHLppX+YJOuwInQ2pglfFYvxPrKyDYmM5Lfh6v/FB+2/a6M2tt/JQGdm0wm++12v9tl+10pdQcudefzZDKRxVw6V2zssIK34n1rVc3SOdeUpsjBL9ToXKC4Kx06B/Lcfr58kkVfapsg6hHaue+MRFAyj2eOyDPIt9S5gBp3OnPZSufKtjSrcsGmuaKGvJrY1BbnsEDnxTOdqP5S0L+kKiuNB+3cl/S9gM6Nx+PdZsOkLqul7lj8a914PLbK0XlLIm5EC349PfAVtV5Pbh5xT2M215n1qhxsdvTB/lMrztcDoXPAgRooyaHWs4RW447UFiO61cwjc65FtaqoY7hpdSnt1kis418J/M+01LlSl9SQWaOSMX0DDuK5S4jo8BH9R+y31L/SLuK54XC43WyY1O33By51w+FQKdnsD3l4emIrcGUq267PVI9NbdIdJk2yXC+z9oEo/z2nFOcqaNWoJkLn7g/5A59KlRgzZfTmXIG3t6HZ/7Em8+gXp6naAKCW0hLp8KPcGi3T0dgf3VTPllDvvlUhiDJIg861JvCVye2s3v5jzZc/1vui3I9UFAGdGwwG2/V6u1lXUrflUnf4PB0Hg0H7egG4a2ImXzre1ng/lAOsOkAu6b/cQedulIDO9fv9zWpVS91Ok7p+v3+dtgJwK0DmALgeAZ37O47rtBUAAABoC3xWAQAA3DLQOQAAALcMdA4AAMAtA50DAABwy0DnAAAA3DIBnfvHy/F4vE4rAQAAgMsI61x+Pgsb8Tw/f39/fXx8pGm63qyv01AAAADgAgI69/b2VhzWLKTu+/vr/f09y7Ln5+fVanWdtgIAAABtCejc6+vrZ+VLIKQuTVNjjDEmTdNAJTj6EQDwp+D16uTWqzj36zYI6NzLy0vpS/D5mRfeqkTq/rdc/vv7d1c6R+1SaRI/s5nZltc2dpwqt37ks7dGRyK4N/QzaO2jl5tk/Th8292FOobWiEzW6fzSrDx4xq3aJFc7nbdWJ3Y59kc1tbhn+1y05vDfUB16plrmyj+gczH4+mSL/sM+7OIKo0XufzTiCOhcmqbFYc221NVqZ4wJVNJa5worH+ZowEx0iO1P4NqNqY5ePFijlQjuEPIjv5Eccrw/d7V+TEYj3VkmSSxDktqTwHOcZZVHvTjxKdH9TtRSnnZ6bo14RHcy+sc3dWmSxySRlg/sUGYr2Ud9jjOXOehciFCf1Ix5XP1H+PKoFhSX9b2AzhljjofsdDycToW3aiV1eac6V8CN39ir5oX/2lzmlOK+GgOZwX1CRUd3hnG5gCdmaYnZIsIfVLzj9hMPaGW0z6rv1kL1/ADR/nNGZFyahDquKte1b0T/ZDWrVRyq7cbj/WsbUDn7T6Vz0lGcZvdOOjsJ6Nx8Pj9kmZC6M5e6+XyuFWUTio0WkVnF2uONvely/Z71VLdTUo0tRkQEHcU50T6rs/IuerOmBViCvA/Iw+i0PLYexuphlw84eU2GVv4ch0xcq+DL737axmfVd2t6yo/SwmdVOnBqPyXYNeRHa82qlUZ85FtBPBfGr3NuF8Zcpo8WSjd2uxPHEtC52WyW7feHbM+l7lRJ3fnrK5/N7GCHzQwyp+8e8SWVxqVuA3Gvq3eTQSQJ+/If07m/mMYq8SK4Wai9drTOsThBjKz2QysedCuP/ajX83KeEaCFzjlvraqn45G/jZ84nzEuU5wizGML+9VolIwWTA6hc1HYHYnMW7J5dV//KX/qaeFft+tz0+k02+1qqTseCxvxRury/DydTmUxISP8pYzo6relVETFc+5a2xa3iuiJ8BO/X+SiQZzOiU0k3l+6Vi59BtRRsy+iazNvGRHP/RHzlpV1dWKWTSv9wSZdgROhtTFL+KxeiPWVkW1MZiS/D1f/KT5s+10Ztbf/SgI6N5lM9tvtfrfL9rtS6g5c6s7nyWQii7l0rtjYYQVvxfu/nh64UFhC5ZrSVGv1RXD/ZX0OOnenyOfLJ1n0pbYJoh6hnfvOSAQl83jmiDyDfEudC6hxpzOXrXSubEuzKhdsmitqyKuJTW1xDgt0XjzTieovBf1LqrLSeNDOfUnfC+jceDzebTZM6rJa6o7Fv9aNx2OrHJ23JOImJhJplode70GZidSnMZvrzHpVDjI7yrN4isu5TugcUFEDJTnUepbQatyR2mJEt5p5ZM61qFYVdQw3rS6l3RqJdfwrgf+ZljpX6pIaMmtUMqZvwEE8dwkRHT6i/4j9lvpX2kU8NxwOt5sNk7r9/sClbjgcKiWb/SEPT09sBa5MZdv1merZ/wJXvtMky/UyuQ9EWazTijfZ1BrVROjc/SF/4FOpEmOmjN6cK/D2NjT7P9ZkHv3iNFUbANRSWiIdfpRbo2U6Gvujm+rZEurdtyoEUQZp0LnWBL4yuZ3V23+s+fLHel+U+5GKIqBzg8Fgu15vN+tK6rZc6g6fp+NgMGhfLwB3TczkS8fbGu+HcoBVB8gl/Zc76NyNEtC5fr+/Wa1qqdtpUtfv96/TVgBuBcgcANcjoHN/x3GdtgIAAABtgc8qAACAWwY6BwAA4JaBzgEAALhloHMAAABuGegcAACAWyagc/94OR6P12klAAAAcBlhncvPZ2Ejnufn7++vj4+PNE3Xm/V1GgoAAABcQEDn3t7eisOahdR9f3+9v79nWfb8/Lxara7TVgAAAKAtAZ17fX39rHwJhNSlaWqMMcakaRqoBEc/AgD+FLxendx6Fed+3QYBnXt5eSl9CT4/88JblUjd/5bLf3//7krnZj3LI1w5s5nZljtdy53FQzU6EsG9oZ9Bax+93CTrx+Hb7i7UMbRGZLJO55dm5cEzbtUmudrpvLU6scuxP6qpxT3b56I1h/+G6tAz1TJX/gGdi8HXJ1v0H/ZhF1cYLXL/oxFHQOfSNC0Oa7alrlY7Y0ygktY6V1j5MEcD5kFAbH8chqvU4sDy4GFu54EarURwh5Af+Y3kkOP9uav1YzIa6c4ySWIZktSeBJ7jLKs86sWJT4nud6KW8rTTc2vEI7qT0T++qUuTPCaJtHxghzJbyT7qc5y5zEHnQoT6pGbM4+o/wpdHtaC4rO8FdM4Yczxkp+PhdCq8VSupyzvVuQJu/MZeNS9CxuKqWfl/8VkFdw4VHd0ZxuUCnpilJWaLCH9Q8Y7bTzygldE+q75bC9XzA0T7zxmRcWkS6riqXNe+Ef2T1axWcai2G4/3r21A5ew/lc5JR3Ga3Tvp7CSgc/P5/JBlQurOXOrm87lWlE0oumcUmVMct42z/MQ1t1NSDdfEh6dfIoZzuYs3RPuszsq76M2aFmAJ8j4gD6PT8th6GKuHXT7g5DUZWvlzHDJxrYIvv/tpG59V363pKT9KC59V6cCp/ZRg15AfrTWrVhrxkW8F8VwYv865XRhzmT5aKN3Y7U4cS0DnZrNZtt8fsj2XulMldeevr3w2s4MdNjNInL5/PfVIoCWNS90G4l5X7yYD10hp0fpjOvcX09jiPUR99wG1147WORYniJHVfmjFg27lsR/1el7OMwK00DnnrVX1dDzyt/ET5zPGZYpThHlsYb8ajZLRgskhdC4KuyOReUs2r+7rP+VPPS3863Z9bjqdZrtdLXXHY2Ej3khdnp+n06ksJmSEv7T2iKhTi3lkPKfVSt6s1e9n4zn4id8lctEgTufEJhLvL10rlz4D6qjZF9G1mbeMiOf+iHnLyro6Mcumlf5gk67AidDamCV8Vi/E+srINiYzkt+Hq/8UH7b9roza238lAZ2bTCb77Xa/22X7XSl1By515/NkMpHFXDpXbOywgrfi/V9PD1woLJ1zTWmKHLz28lW4uCsdOgfy3H6+fJJFX2qbIOoR2rnvjERQMo9njsgzyLfUuYAadzpz2UrnyrY0q3LBprmihrya2NQW57BA58Uznaj+UtC/pCorjQft3Jf0vYDOjcfj3WbDpC6rpe5Y/GvdeDy2ytF5SyJuItCiWR56vQdlJlKfxmyuM+tVOZrZUTaDWbdEK87nOqFzwIEaKMmh1rOEVuOO1BYjutXMI3OuRbWqqGO4aXUp7dZIrONfCfzPtNS5UpfUkFmjkjF9Aw7iuUuI6PAR/Ufst9S/0i7iueFwuN1smNTt9wcudcPhUCnZ7A95eHpiK3BlKtuuz1SPTW3KRbaof4qj5bWrUgkmkaasUU2Ezt0f8gc+lSoxZsrozbkCb29Ds/9jTebRL05TtQFALaUl0uFHuTVapqOxP7qpni2h3n2rQhBlkAada03gK5PbWb39x5ovf6z3RbkfqSgCOjcYDLbr9XazrqRuy6Xu8Hk6DgaD9vUCcNfETL50vK3xfigHWHWAXNJ/uYPO3SgBnev3+5vVqpa6nSZ1/X7/Om0F4FaAzAFwPQI693cc12krAAAA0Bb4rAIAALhloHMAAABuGegcAACAWwY6BwAA4JaBzgEAALhlAjr3j5fj8XidVgIAAACXEda5/HwWNuJ5fv7+/vr4+EjTdL1ZX6ehAAAAwAUEdO7t7a04rFlI3ff31/v7e5Zlz8/Pq9XqOm0FAAAA2hLQudfX18/Kl0BIXZqmxhhjTJqmgUpw9CMA4E/B69XJrVdx7tdtENC5l5eX0pfg8zMvvFWJ1P1vufz39++udG7W4wc25+qZzcy2XHEtF/5AXutvpUZHIrg39DNo7aOXm2T9OHzb3YU6htaITNbp/NKsPHjGrdokVzudt1Yndjn2RzW1uGf7XLTm8N9QHXqmWubKP6BzMfj6ZIv+wz7s4gqjRe5/NOII6FyapsVhzbbU1WpnjAlU0lrnCisf5mjATHSI7Y/DcNV+Wy8erNFKBHcI+ZHfSA453p+7Wj8mo5HuLJMkliFJ7UngOc6yyqNenPiU6H4nailPOz23RjyiOxn945u6NMljkkjLB3Yos5Xsoz7HmcscdC5EqE9qxjyu/iN8eVQLisv6XkDnjDHHQ3Y6Hk6nwlu1krq8U50r4MZv7FXzQrm2tFS1zcr/i88quHOo6OjOMC4X8MQsLTFbRPiDinfcfuIBrYz2WfXdWqieHyDaf86IjEuTUMdV5br2jeifrGa1ikO13Xi8f20DKmf/qXROOorT7N5JZycBnZvP54csE1J35lI3n8+1omxCUZtRbDze2Jsu1+9ZT3U7JdUQx1X7Io7inGif1Vl5F+WVfZOh4MYgD6PT8th6GKuHXT7g5DUZWvlzHDJxrYIvv/tpG59V363pKT9KC59V6cCp/ZRg15AfrTWrVhrxkW8F8VwYv865XRhzmT5aKN3Y7U4cy/8BQ/BC95ebeNEAAAAASUVORK5CYII=" alt="" />

单个文件格式：

DAV1                                                        MARKER NAME
66010M001                                                   MARKER NUMBER
     7    PR    TD    HR    WS    WD    RI    HI            # / TYPES OF OBSERV
PAROSCIENTIFIC      MET4                          0.1    PR SENSOR MOD/TYPE/ACC
PAROSCIENTIFIC      MET4                          0.5    TD SENSOR MOD/TYPE/ACC
PAROSCIENTIFIC      MET4                          2.0    HR SENSOR MOD/TYPE/ACC
                                                  0.0    WS SENSOR MOD/TYPE/ACC
                                                  0.0    WD SENSOR MOD/TYPE/ACC
                                                  0.0    RI SENSOR MOD/TYPE/ACC
                                                  0.0    HI SENSOR MOD/TYPE/ACC
   486854.5000  2285099.3660 -5914955.7710       44.7169 PR SENSOR POS XYZ/H
   486854.5000  2285099.3660 -5914955.7710       44.7169 TD SENSOR POS XYZ/H
   486854.5000  2285099.3660 -5914955.7710       44.7169 HR SENSOR POS XYZ/H
                                                            END OF HEADER
 11  2  1  0  0  1  988.4   -1.0   93.0    0.0    0.0    0.0    0.0
 11  2  1  0  0 31  988.4   -1.0   93.1    0.0    0.0    0.0    0.0
 11  2  1  0  1  1  988.3   -1.0   93.1    0.0    0.0    0.0    0.0
 11  2  1  0  1 31  988.3   -1.0   92.9    0.0    0.0    0.0    0.0
 11  2  1  0  2  1  988.3   -1.0   93.0    0.0    0.0    0.0    0.0
 11  2  1  0  2 31  988.3   -1.0   93.0    0.0    0.0    0.0    0.0
 11  2  1  0  3  1  988.3   -1.0   93.0    0.0    0.0    0.0    0.0
 11  2  1  0  3 31  988.3   -1.0   93.2    0.0    0.0    0.0    0.0
 11  2  1  0  4  1  988.3   -1.0   93.1    0.0    0.0    0.0    0.0
 11  2  1  0  4 31  988.3   -1.0   92.8    0.0    0.0    0.0    0.0
 11  2  1  0  5  1  988.3   -1.0   92.8    0.0    0.0    0.0    0.0
 11  2  1  0  5 31  988.3   -1.1   92.6    0.0    0.0    0.0    0.0
 11  2  1  0  6  1  988.3   -1.0   92.7    0.0    0.0    0.0    0.0
 11  2  1  0  6 31  988.3   -1.0   92.8    0.0    0.0    0.0    0.0
 11  2  1  0  7  1  988.3   -1.0   93.0    0.0    0.0    0.0    0.0

CODE：

clear;
clc;
dirpath=input('Please input files path:\n','s');
list=dir(dirpath);
len=length(list)
h=44.5;
j=;
fid = fopen('result.txt','w');
for i=:len
    filepath=[dirpath '\' list(i).name]
    [a b c] = textread(filepath,'%*d %*d %*d %*d %*d %*d %f %f %f %*f %*f %*f %*f','headerlines',) ;
    m=1e-*77.6*a/(b+273.15)*(+148.73*b-h)/*;
    n=1e-*(+*(71.6-77.6))*(c/*6.11.*.^(7.5.*b./(b+273.15)))./(b+273.15).^*(-h)/*;
    name=repmat(filepath(:),length(m),);
    fprintf(fid,'%3s %.6f %.6f %.6f\n',filepath(:),nanmean(m),nanmean(n),nanmean(m+n));
    result(j,:)={name m n m+n};
    j=j+;
end