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readme_chs.html
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<?xml version="1.0" encoding="UTF-8"?>
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</style></head><body dir="ltr" style="max-width:8.5in;margin-top:0.0299in; margin-bottom:0.0299in; margin-left:0.0299in; margin-right:0.0299in; writing-mode:lr-tb; "><p class="P2_borderStart"><span class="T30">《爱背谱／</span>MidiSheetMusic Memo<span class="T30">》</span></p><p class="P2"><span class="T30">这是一个用于背五线谱，并为背谱的目标——演奏进行准备的一个应用程序。这个应用程序是在</span> <a href="http://midisheetmusic.sourceforge.net/index.html">Madhav Vaidyanathan</a> <span class="T30">所开发的MidiSheetMusic的基础上开发的，在这里向作者表示感谢。</span></p><p class="P1"/><p class="P3">帮助屏幕</p><p class="P17">在应用程序第一次启动到乐谱显示界面和问答界面时，会显示帮助屏幕。</p><p class="P17">帮助屏幕显示完一次后就不会再出现了。如果想要让它们再出现，就点击屏幕上面的复原按钮。</p><p class="P1"><span class="Strong_20_Emphasis"><span class="T1"/></span></p><p class="P18"><span class="Strong_20_Emphasis"><span class="T2">关于掌握程度</span></span></p><p class="P19"><span class="Strong_20_Emphasis"><span class="T8">乐谱中由很多小块（一个声部里的一个小节）组成，每个小块有一个掌握程度</span></span><span class="Strong_20_Emphasis"><span class="T9">，在问答模式完后会进行结算</span></span><span class="Strong_20_Emphasis"><span class="T8">。根据掌握程度的高低，这些小块会被归于几摞中。</span></span></p><p class="P20"><span class="Strong_20_Emphasis"><span class="T9">没有进行过问答的小块处于最左上角的摞中。每次问答答对或答错就会沿着箭头移动</span></span><span class="Strong_20_Emphasis"><span class="T10">（答对就沿</span></span><span class="Strong_20_Emphasis"><span class="T26">绿箭头</span></span><span class="Strong_20_Emphasis"><span class="T10">移动，答错则沿</span></span><span class="Strong_20_Emphasis"><span class="T27">红箭头</span></span><span class="Strong_20_Emphasis"><span class="T10">移动）</span></span><span class="Strong_20_Emphasis"><span class="T9">。</span></span></p><p class="P5_borderEnd"/><table border="0" cellspacing="0" cellpadding="0" class="Table3"><colgroup><col width="937"/></colgroup><tr><td style="text-align:left;width:8.4403in; " class="Table3_A1"><!--Next 'div' was a 'text:p'.--><div class="P29"><!--Next '
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/+9fs/ksjak/0EuXTUaMqgZNthHtUfLOLKV6wANFsmALUM+rky9fPvcVe1v3/6yhZXEJd3M/mzhp+fWYXIT04PkU3CkXNGk3JIOGeMLk2Bx8ovAHPdA9Nh5sId4YnTa4uh452U4zwHTqxuQY2VQeU1SWSbjbQoQ4I2TqmqTqaAELYiimsX7bnluETy5UW5dFzIjxpisQdt97BzX9zs6Hs/I34D/iJnokykaRpGsFwkNycXIrmFFFQUEAwGCR6MoqW1CZV4y+7YRl//5G/Jzc/l5feqOX5P9Tgbw8YN2mi5ItrBE4qaEmdD8y7jgXzFhBWw0RORohqk49k3flu1v3jOsrfW84f4/t55uRL/O5MPdHkxD1H3azTmuwgFA9RJBRwQ6EPp9NJ49uNhiN0opGdQ4dljFB2E016WumBqUBAT+rkHssFLYOY/uoQnq/Ux+0fvh2n5GT/gf3seWuPMYWdjBcrrtOhduB0OpHnyAgINLc1o6rqpGl8h+Tg4/d8nAVzF/DrfX/k+T/WsL+96dKR62jy6TpN7W3k2nK5brZM0cwiAk0B1LCKFtcmFcHe/Dc3c8cdd9CabOXxk9X87syfxm6rG6fSCyYjhOJhyrO9lMwpIapGUY4paHFtQuXSF8cI3W5MYydL2Y1UejqmXAFUDfsxK3o8g5iuRoRnHoi3GsolSWLVzavwuD0EmgMcDBycNGWXDuANq/j9flRVpdRXSpmvDFEUGa1/E8ErV1TiW+gjEA5S3VCLP6hMrnxahCd3VVPX3IjH7aFiecWw4N7J4G63m7Wr14IA1eFa6lT/pCi7wag2jTqtkc0hY0/eVbetQp4jD4tfvFROoYhaBrHFGB7zy7AGU8O4Vsytoa2AWCGT+twyfPL4qGtpS5eVIs+XjXCDQMDwLF4GUpoVlGYFURQpLilOb3s40WvqJIdExa0VIMCWhu00tgZAn/xPJ6RG2Lx7O0FVTa9Omax9dRGgYnkF7kI3fi3AT9VaVCKXQTloVEdraYj6cbuN1RuSJE2YXBFvxAgmFrTLpvDSSg/Q5mhoZbEraj/kDB87H4nwRJGKsgokSSJwKEAwdHn3WD3YdJBgOIh3oRfvAu/Ea3pRpHRZKR63ByUcpHZ/PWo0ctnkqws04m87iOjoV+oueVJGMo/LQ8UKw9n0XLiGoH75ZFSJ8Jxag4ZmBHD3B2NfqlwxF2iLIVZoqBtNvHzvpSYY14tJoC4bXL2RQU5XOcLzuD3GNEQHpVU571TWu9jLF774BSpXV456vPK2StZ/fj1f+NcvUHVvFd6F3gujoLYQalg1YvXmeBAd4tg1uMgFR16AihUViILIFn8twej4LEDrV6wl9ULjiD+f7B1bA7pGzf46glEVn9eH5JImfCQTBRF3oRt5jkxID1EbbTjvVHa9ay3186uJLK4jtriegwtrqJLWXpKC2K7WEdRUY321x5Ne4XDRcqHBfNDk/lUTFwHtvkIVR6ghRj0HqWENFeM36GmGsov4YhnE9NeA8HwlPkRRJBgKEovGzvnsK1ZWUHlb5TmPV66uxLvQS+NbjdTtrCMSjVC5uhJ3ofuC71UwaAQ0yx7ZUL5jRG6xJTFYaryQAwkMRqvnW+wDAeoO+VG18SEfySGhRlUe3LZp2J/SMfZpf13ATygaQZ5vLNSf6JFMdIgU+4oB2KHWD1sZMmLQEmU2utejaEEebNvM/W2bCOohniv8ApWO8kua2tZG61F1bdjytfP2/zy2PkmUDGVX2L+CwjG+/lSxlo2sp4EA97MJBYUtbMSHd+wyCaA6jCVr2tIMwrsauaDpGgj9GlAgvX40FA4Zy8VGobIby/At9VG3s47SZaUjKwjgXejFv9dPw64GAPxv+am6t4ry5eVs/9n28yu8cJBINILkknAWOAc1tHBuHlkYQbtdQ5ujIe4Xif0yhr3ZPlzDC+CUnMb6X1VF6QiOO0LV43AS0SJsemXLJdjyggTDQXyFXsNx4RDR1PPLl+b0c+3c9URRxC270dBoiAbOi+4CmoLnQOWwOlvUHUQW11EplVMbrb9oOeujjayVypE9MnbRfv7nKGjE5sSghcElimfL7YaY4+KsdutZQwN+1rEBgGpqOEIND7Iu/duYSQCtCGNGER3jc8vwd5+PhvA8Rcb0IxKJnFMZNOxtYPvPtuN/yz+4GHsIud1uREEk2Drc/new+SByoXxhG5BqpFxySkaygQFkhgS4AQlElziM251247gLtBUa2sMasc/E4EaIzY8ZyEcQkWXj+oGwwsWYvJ12CXUCPNZKRwgtquJxeZAcY/fWxj4fI/aPMSg8N8IQBRFP/30+qCtjQmPDUKxgDDLqeZDhWMivKcR0kFySkYnlXHKJwFLQHtKIfTFGzB0b6Z11iZA7ZFo5HlSOEy8ydTQOf48JUDYOhDdsWuuA2JxYBjld7QhPkoyP7+ysJ2c/dKXl3B+S1m9gGZhWDpBdsBuhJqKYrnOu9geQil00FudH5kRgeb+xWIeYHgNhkGtCf242lUHFt1JDK9OgBSIvRHCGnGmbmRIOol1EfLHkEIlolx75FYxG0nZHu2gnpIcuOELFPh8z5BFAK9EQXxGJ+WPYVfswpGEX7HgkQ2kp2tidTiIi5Y5SNrqrCOpBngtvvyQZI7qKRgynwzn4bowmlyuGtkIzpqtuDWSI7IpACGJKDHvIjiZp6WnseIcbLzIiIgcZ/s4qBFlDxWBKqTF6a9P/lzLI6WpDeIIoDGYLGeDpChe54EANq4RCIUrLSgmGgoRCIXxLfPiW+NJTgvO+VP2JJQcyrCABJaAt14z/6+eeagxLdyb2/wnArcAPhyCliwxDEQU75XN8xJ6t71dcQX66p44Nv9w8PhuXphIDnKLTsF2JIhF3BLvbTswew46dGMM5ISDaj3IX9iuH20Br1XDucsLrQxCRII5w1pyPauY8yRrJMOL7owHWtmwgpF+ah14d8AyLRoIGHIYNLlYUwy4OkUsAUesfBPvraHdqhnYJA9vALoogxi747oyKyvtfirOVWgQje40HJwrBIa+RBREb0VQPmEwjp7Mi2DXACaN9Pxl+ZfJREV4atl8i7Xh5B6tWr6Lq3qp0xtzAoQDexd5xBTFrumagtv1DPppz9E/zGSghLYfWryCagV8yLgVwLtrwcjWlhTLBaARREFnrq+Art1YhCnYe3PbkuOxAADFiIEJkvoFgI94IOIZ4m8/iSEPOd/X/FUIkN4Koi/D6UCwy9riNjaFqqsPb8Qge7nJVUDd/M+taNlySDW8YYndqxMoMp5K2QDMQ+dnvnThENkf/nwS8H2JtWtpxMNmUzxQWpGZxmijvcJT42S+cwHkRa4ZfRQhv4MAA0rtY5RcKhaj+bnV6NUEoFKJydeX5p7JDX6ihKFMHZ5sTbad2zhE+tjw2iOaiILaI4Ad7k51YOIYz5Bz2/dvFiwviamhqpKFp0Bb004ZaXntgM2t8ZTy4bTxIUcI+xCZk1+zE1Bhi9ALTK8foekzsEo3klQPIbgDgCuKYnqFfC+Dv/3+1WkPj/C1sdK+ntvniFZ4k2AcH0C6whwGHfXRdnAvaEm3k/LEN2At2QexfQjb+ASvSf4541kWd/aNH5Kw2VbowmUx8mOW8iYs3CdDJmeF2vH6eQU5XOcJTw6rh6exP236piEgND9q7PG7PmAKZB4z4mqalswtrUW1ICotReABY1q/s/P3Krs1I3mjH8NaKukgwaFxflmTECUILSjhIaeH4jN8eh9PIpqyqRvhPGGgAmkbaPtO0rH8aO/DRhYAWEFsH5dV0jRgxgtEgkiRTLHoIRcc/NVX0IOVi8SXdF4/gRsROJBoxvNAt/dNy15CBTTem6Nrtw+USG0Tjnihgb7bD/IFEpP0qbxzPzs9BI/kpnuHONZyECI1YgdKHTpAwSVKsYjlFuPkDb9JCOwk9OajwujLI6ar30gZbjVCNoZvxTAT5lvpwu9wE9gcujH4cRixZRI2kp78X8r44W5yIO0Wc25zYd9pxHnCmM9UO1NN0jVCbES/ndXuwCxMjX2mhFyU8PqUiF7gNu13UyBYt6iL2kB3nISf2t+w43xrJaSZt1xJ3iYjbRJxb++U95ASN9ECh9A8sXtE7rqnt0Pg85RJteF5Rxt4/iA4MVmJUxN5ix9nixN7czw/ZEfeI0AbiKyLiT0TsL9sNud5yQhSkqLH3xMXGBPoJsIrhcYUV+Gjk4Ij6KaCT0ygcJwc7y/Hxd3yI9+DFOfBG6SCGM17Pq95LG2gOUKH1L2y/BIUnuSQ8LmNE9cgefEt8BJoDBA5cWOF5XB6cDidKi5JGZBfU4KqGfY89/VGcq14wHDRWcrgk5AKZoBoZF4p97YHNNCgHORhSsAt21vjK8Lpl7t+2acxtuCUPHskDmjH1T+/+xfnj6/CD6O5HPvvBHuqX9+x6OgSbFMSFFVQ4fFSHa845EVzvWkulo4y6qB9FD+LEyV2uCmTBQ1Wo+pIUXrmjFBGJYDBIpD9r9KhyqWDfaTdstYF+ufSz5AppDAAxURj/xPY5aqhmAz9gAw0EWEMZHjx8ktGfW5QYCu10choPLhYxl3ym8CfBxSH+TE9Ug7A9g5yudhueoihEohFD6UjOi04c4HF70isxVFWl/vX6dBDyhex3zgIjODgYDKanwGOaq0eH71ExKkekcX8jFcsrqFjoo7E1MC4nSkiNUFW2yoj81zWUcJD7t22ienfN2BXBAi9uyYnSphCLxMZsCyIEvNKP8LTz3QdQ3lLQbtModxTjEZznRGuNmsI6qZIN7qr0vQtoClVtG/mpWnvRys4IcfEiwuCWjud7jpoIuzjn80Mzprp2VURzjd/M8lNqcWLnC9zFOipRCHI/m6hjdBtlHzon6aSdDqYzFQELM5nGKj7AvFQB+0/vQ+/qxCpYL5sNqtfUi91mJ26OY7f2c9HgWWQRJ44NG730Ykva0NCwJW30JHvIsmQRS8WwCbaMDW+oJlRaFBRFweP24PF4UNrOv562+rujo4DAgbGhuRHox+XG7TZ2NlPaFGNHswn0hqmaSt2uOsrLyqksqWDL3tpxJQ9Y9+KGS0I9CCKV3nKcDom63fUobcq45KOFC9fTQAkEUMJBvC6ZMofPQLKj4KKGaCPlzVUT7umscJTiFWXUkIoS7N+L+FKen6YhNsWMaa+rf6OxcfZpMzVsZuwD0wlOcYDDFDMXwXAxkZPMYlliMXJyGu8sOshfDv5l9JUh4+TxZBzBJpBIJHDkOMjJyqHIWYTdZsdsM2NJWbDYLNgEG9YsKzbBhi3LhsVswWK1YMYMZiAJKVMKPa6TSCXo6+2jL9FHPBanL9lHn9ZHwpQgGU8S64sRVaNEtSi93b0IZoF4PA7m/2FxeP69foq9RnompdVI2XS5SJ4v45ScRqqoJuXCiG28HBH/AT9qWMXnlimfU0qwI4iqXZ5EQ74imfL5PtA1AocChjGfiff2oUFdQx3e26pYJ62iLuq/5Li6MZszcFLlWmOg6T2NREKRCZEr1gKSArHFmqHwJjlEpZc+WglxnJPMpwhr0oKQAkuvyPzUHGZ+cDruqW72/nkv3Z3dY5Ij25ZNn6UPR7YDbJBnz8PmsFE4vZD86fnkirkgQHZWNkKWgGgVSZqSCCaBBAkEk0DSlMSCJc0Hfk+QwIIFPaWnfzenzGmup/R02YKFWF8MXdPp6e0BHaK9UdQOldZQK/GuOKqmktJSRPuiWM1WepI9f30IT9M16v31lC8vx7fEhyzLxjaMqjrpH4rb7UaWZUTBmHYqLcrkaPoo1O2qY83qNVSVVdLYdhB/a2BC4g/PO80TRdYvX4tH8hDY60dRFFRNnZQRTY2q+F9pQF2xlkqpjArVx/ZzoLwJlRGRcoePNVKFYcpoqDeWCk6AXPYwaM0x7GERza1dFMobLx0jxOup/RSZ3IhmC/RZsHSB6YyJ7OxsSq4vYUr+FPxv+jl6/ChabHi/+1J9ZOdkIzkk8vLzkHINnmPPIX9qPjnZOZgFMxaTBYswHKkNcIvZAkkQzAIkwWw2k0qmMJlMJJNJTGYTiWQCzJBIJjCZB39PpVKYzWbjfMvg+SQhx5oDIuSZ8wY6nKBXAAAgAElEQVSR4SydklQJib4EPbEe1E6V7lg3kc4Ip7tOc7rzNGqXSm9P79UXhwiMuqdFtCeKJErMlefimeEh2hMldDI0KenPhyqD8rJy5LkygYMB6l6ro6WtZdJy3Afbg9yw7AZK5ngJn1E5GGojqkUnTz5BZM31Fdy/ch1CUmfrz7YSeCeAkBQmJ4c/ImE1jODOpVhewDXZRdRH9xPSw5OqIBaIRWya8SBFtgJqX6ml/r/rDS/0BMllj1vR8nX0ImN00syTq/B0EggmC3OTHlxJB9ZuC9bjYOu1kiKFTbCR58yjaGYRmCHeEyeejOOa4sJT6GGZbxm+Uh9LrlvCQu9C5snz8MzwMM01jeycbESbiEWwYLPYwAQWk4UUqXeHm1LYLDYsggW7zY49x8401zSmTZ/G7KLZzJHncM28a5g9ZzZFM4owC2asWNF0DRu2q3tPC6VNoWhuEQvmLcCZ60Q9o6J2ThLKE6DkuhKuu/46dF1ne8129uzdg57UJy3HffRMFF3QKV5QzA1yMS1qCKUzZOwxMRnyFS3gx3c/jpQt8budtfzxtT+iRtXJzeUPtB5QKF9ejjd/AQImmuKthPXJeY6y4OGfp93NGukDhNpCPP3tp42BkomTi07Qs3QS8wTI19N7TkwmCSTIN+WwoG8WWacExHYLqWQKTBhIymQiS8xi2rRpTHVNZc6cOSzxLeH6669nxswZOPONmEurzYrJZEojL0yk27mSuclswmQyYbVZsWXZkCSJadOmIc+VKZxVyLRp08gSszALZjRNI0mSvr6+q2vXMkEXCHeGKfIUsWD+Ahw5DjrUjgnZtcxms2E2m0kmDcgoz5WNTb4dEttrtvO73b9Dj+qTrvGVIwryHBl5toxPLqY1HKSps3VCdy1DAK9L5qV7HmHBtCKa3gnw/A+fRz2pXpaRjTgEO4OULiql3OVD1aMoWhtqcmLRrFvwcLerkv817W7UqMrzzz7P/ub9iMlJkOuMCUGwEvVqiAKTrvTsJMnTs5h/soipxxyYEiYsJgvJVHIYQrJYLbimupg2fRrSFAmL1YLVYiVlSiGYhHcPuU0gF0wCKVMqPQXPy81juns6c+fMZfbs2cx0z8Qm2rAkLXTFuq6ufWnDnWG6TnfhLHDiLfbidDqJnolekj3PYrGQn59PwbQCJKfEIu8iPrTiQ+Tm5VK7o5aal2sInwxfFo2vo7N/337mLphLyVwvpXIxWlxnf6hpYpSeAL4iLy/d8wi+Qi+hUIjHv/44be1tl3XXq7a2NqLxKMXXFnOzqxzBbCLQE0RNqhOm7O53reER96fQohov/eQlav9P7YQiu6HcGgfCMUyigHatjqgbm29PjgMGbCTJacph/sECpupTjcE6lTQQ0ABSSxk2NRP9CC559SC4i+KpVBqpmswmzGYz9mw7U6dOpWhWEW6PG8kp0RProTfeS29vLyaL6QpBeLqeXuYjCiJDy+FwmMipCJ7pHhZcs4CimUXo6ITaLy4+L5VK0dvbi+SSWFGxguLiYqxZVhpeb2Dr9q2E28IGHD5Hfya6jA5NgSYKZhawYJbMBxZchyfbSeCkckmbcUsOJ1Vla3n6zgfxumSUYwqPPvwowfYguqZfNvkGyk0tTQhmgblFc/mAaxkLbLMI6SGU+KV4bkUqHNfx7+5/YZ3rdqKqys9//nO21mw1pp+TKI+1x4pw0opJBG2Bns4pMVFIT+xfAScA9kMieb9OUaDk4y5wIwgCJrMJUobNjRTGtC9lwmLun+4OcTj8TymbUiYEi4DFYmGKNIVZM2cxa+YscnJySJlTdEW6yLJkXZb3fbSyckTpR3hD1qQOUwaCsWdsOBymSWlCFEW813opmlmELMtEtei47XqSS+LGZTdS/t5yXPkuTCYTrW2tnAqfIjsnmywxy4gfihnxQiP6MwllNa5y8M8HsdqsyDNlblhQQvm8GxCz7bR2hsflzHBLTv5+2So23l7FurLbcdpE9u/bz6YnN6GElGHKbrLkGbUch6YjTYROhijyFHHdtAVUOMpZIMpE4lHa9PHlzfuA4zq+Mu1u/tl1N9eJMmp7mJdeeonanbXoSf2yyGftAaHZiknAQHqAQ4XoJa4YlPqzVGEG516RKT83IzfNQJZlCgoKsNqsaSWXSqWGeVWHKoNMGbKzs3F73BTNLMKR5+BM1xlifTFSfanL+/4bOTwfNVWsrEilI/0HgltHK4siHreHshVlrFq5CrfLjRpViagRFEUh1BYy1r5qwzOuiKJoZC52u/EUeYwdrPoTExx85yDKEYXsnGxsgs0wdup9nAqfou1oG39p/gvtJ9qJdcWwmW3n798ElEWH4SmuvLUSeaGMqmkEw0HqlQD1zY34QwGCETW9R4Qo2I0sygUeit0yZbKX0kIvHsmDJIqoYZWanTXU76o3kjJMcv/HUhYdIt75XtbethbvMi+IIkE9SEBTqIv6adQCKFpwMJddv5yy4EYWPZSKXnxiMV5RxilIENWob6in7pU6I65Q1y6vfP07iWkrIPiPkXSmHVRj/4mxxuqJgKiC2J9+yx4VEXdCQYOVhfGFlBaXUjirkCx7VhrJDYSCDCCdgfLpyGmm5E4xUOAox/+nlvv0PpRjCm/ve5ujh4/SFeu6rO9/7Su1JlPFiorUqNlHRuOisZmKvFCmYlkFpWWluF3Gqoi0otNH2rEGFN9ApmP/IT/1u+o5fPQwriku5hfPZ9bMWVisxvRgwFYQ7Y5yvO04R1qOcEw5xqnTp+iL9THm/l4EF0UReY6Mr8RH+fLy/v15IaKpqFrEyJKcXnsrIqbls+N0SIhAsC1IQ0MDr//5dUJHQ5zpOYMpYcJkNQ3jCKT50H6kLKk0T/WlhvFkPJk+njQnL0pOURSRXBKlvlJ8S3yU+koRJRFVV4noMTRdOytez5BTwoldEJEwlHmjvxF/g5+DLQcHlyBO0nO5EI85QFscQ6uEyBJtSIox0okLtIH0YQP3QR8sDyQEQBdxvgXiK+Buc1M6vZhFixaRL+VjEQanr0Pj5M7mX3zoi/T09PDVh7+Ke5r7nPXGwn/z8m943/vfhzPPOebzUqYUu17bxYq/WYEpZSjdxx59jJs+eBM3Lb8prZTtOXZsgu2c7bz8m5dZtnQZ7hnui+7/2TypJ1HPqBw8cJD9B/cTCUcu23tSt6vOJIxLU2pGAJ9/r59gW9CI5Je9xu5bRcbaW0mShiUS1TSNSDiCElRQWhRCSgglpBAMB9FUjXBemL5kH66pLhwWB1aLFT2pYzKbyHXkssi7iDlz5hDxRWhtaeWYcoyW1hZjmjkJIwEaBA4FCJ0I8ee3/8y8efPwyl7cs93MnOpmSsEUTMJgFty+vj66u7tRVZVD77TQEe4g3BHmjHaGwoJC5s+cb3i1bBYEk0CWNYskScxWM+aUGcEiGAbwoSNhoo8kSZJ9ScyY6e3rRU/pJOIJzJiJxWMkUol0uS/RR9KUJKWnSOpJTkdPE+uNoXVrmBImeuI9JM1JEr0JhCyB7t5uTp48Sd2uOpSAQt2uOooXFCPLsoHEpcHtMQeeo6qqREIRlGCQQEsApVUh2GY8w4FlY+8mcrVHwf66kX5KlI39azUvRkJYUUujuPS7KQwLtsPeIiLuB+mQHZQYTm0Gy4uXUrKoBNEujopcTnWcIplIjkAyt992O996+lvsqtvFhyo+NCrymSJNIVvMPi8y2vunvTz99NMoisJnP/fZMSOplqMtfPPJb9LW1sYnPv4JEskELS0tLFGXYDFbiGkxvvrwV5lWMI2vPfy1c7b3/PPPM8M9A7fbTXuonUe+9ggWi2GzS5EyHBaYjPcX6Iv38U//9E/ccMMN5+yfVbCSL+Xz3rL3kp+fj3+vn6NtRy/P+zJ0pcXZ2SkuVA61hQiFQgQOBfC4+zeicYjYrfbhI28shqYZGY8j6pAVG/3HT50+hbXdyv4/72dh8UKm5k9NG4QxQzKVxJ5tT0+pF5csJhgK8s6hdzh2/BidHZ3D2rtQ/+PJOFa7FXPSjNVhRRREJFHCZrZhd9hx2B3YHXYEk4CYI5Jjz6En1UNnZydaj4YQEjBbzJhSJsyCmVTKePjJPkOJ5efnk+fMSyPVgRF2oHw2Nxn/jPh9wBs24ryhtpJR6if0BIlkgoSeIJlKkkqkSJAgqSfRejVOq6eJdkeJ9cToS/TR09WD2qXyxp432Ne0j2xLNpZsC9aElaQ5SaovRTKZJBaLoWoqWlgjGA2md1k7eyS92Pdposo0g7PNTiwAuGNoBaAVioOJU4dm9Y72r9GNghgw0j3ZQ+CUZvCeJe+heHExWWLWMIQy9OP92iNfIxQKkZeXN2KK7HQ6efXVV3n11VdHHDt+/Djr/2k9t91x27D2hrYf647xzLPPMHXqVH77299y88qbudZ77TnrDy0XzS7ic5/7HJs2baK4uJilNyzFYrEgCAJd0S4e+7fHCIfD/OuX//W87QmCgGAVwAy9sV6OHDnCq6+8ek4EV/XJKrq7uy/YP8wgIDBvwTz69D664l10nuyc/PcD47qXpDk1TUNpVi5J855sP8k+bR85OTnk5OSQZctCMAskUon0Rz1QznHkME+ehzxLpiPcwbHjx1AOK3S0dxBWw6QEY7pnt9rpTfTiyHfgEB0U5BdgsVnIy88jz5GHI9uBVbSSk5uD1WIsxjZZTNiybJhNxlKfJMn09S0mC/G+OHE9Dimwmiz0DemfxWRJ99eM2RjZUom0sjtneZTzh8o7or6l/7jlrOOCcdySZRm1vYFyYWHhsHIimaAv3kdSN+yncT1Od7QbU1ynM9rFmcQZzpw+QzwWp6e7hzPaGRLdCbJt2fTEe951ZHeumYgzJKK1gV2EmAh2CWIDME8HO/Tvu2zk2XNqTjRdI2dKDiXFJVxXcp2RHu08SApg7d+t5aN//9Fx2bQ+fvfHMZvMI5aPDa2/efNmzpw5w3e/913+z87/w4avbuCpTU9RNLto1PomTHzpS19KK1UTJqxWKz/5z5/wi5pfEAqFqKmp4fd/+D1v+d9ClmWeefqZdP33Lnsvq9esHtYfs8mMWTAPk/dC92NgUL7Q/RDMAiarifnXzKc72o2/28/p7tOT+n4YCm+CNamoG7FLWkxDs4/t/KSQpCPSwYFDB0iRYtHiRZisw5HP0I/XZDFhNpmZ7pnOtOnTKFlcQvvxdo4HjxMJR7DZbbicLpxTneTl5mHPsWPPsmOymNKI61zIaoAPxFmNdv0cEpgTkDRDYpTjV1PZYrZgsVuGyT/DVYCUTKCazcT7bUJJPUlfoo/uaDenu06jnlI5ET7BqZOn6Ip1EeuKkdSTxHviVwTSG6r87P272dnPQqR2YXjePUuWhVkzZxnIzp51YaQC6ZnIWJBXugzDzBhnH//Zz3/Gq6+9yuNff5wZ7hncU3UPPd09/PO//DMb/20jxYuLR7Sv9+ns3buXZ595lplFM8dlW3vxRy9yWDkMZmiob+Do0aOYTWZ6473UvVbHvj/vY+G1CwH4zKc/c94FBbmO3HHdjxwxh0UliwgGg0RboiR6E5P3PqSzpUyQJhVj4LNCaSxGQIBG3Y42xvMTQoLjR4/jzHYyffp0XAUubFbbMKSSShoR3onkcCRkyjIZ6/uKirAKxhrHgWnx2UjxQsjqQmURcCbAQoJkEuJm2zmR3tVYtpos5CbiTE8l0ZKQtNhIpBJGiqKkhRwxh6lTp4JsPI9kIkl3TzfdPd2cjpzmTOQMJ8In6DzdyenO0/TF+i67N+5iy1OypzBPnocj25F2TJwPqdz9sbuZPn06rze8zh//+EesgnVYUDIpMJuMciKRIC8vj0/f92k+dd+nRkVqPdEevvvd7/LKq6+wYcMG3uN7T/r4/Z+7n+ycbB784oN8/O6Ps/bOtViSlmHnz507lwJXAXm5eXx787d5c8+bCIKxwmMo8kumkmiaxg++/wNy83KZ4ZlhpIVKQq4jF6fkxCJYMJlM5E3JS5cBXvjeCxPuvc3NycW31EcwGCSeiE+qDW98XtoLcAlYF4tRrms0CiLb7aBgH1c7bpebkiUlXDv/WqYWTL0gEhvK07a/Mda/GJ6bSDA7lcSSglazmdNYSFiY9OteLm5NwAwSzEgmOWo20262jOm89NrSfiN+b6yXru4uTnWcItQRor2tncjpCD1dPfQmet81b+65uClhYubsmdz0/psomlU0ataSc/HmI80cOngIwSYYM4hR7k9CT2DPsbPiphWjelXr/289mzdvRtM0Hn74YZZcv2TU6+16bRffevpbzPDM4O5P3M2NN9yIyTLSa/zUpqeYNn0a/3DXP4xop1Pt5CN3foRXXn1l0MY8ilxr1q7h0UcfpeS6EpTDCvfedy+LFi0a5rAzm81YLJb0ooKioiK++NAXx4UwU6YUp9XT7PztTo4eOXrR0Qdj8tJO6Bw5pg2La6IPw1gyjvaiWpTjrcdxu9zk5OQgZotG3NNYbVyTjIQsZrDqhinNkgKzxZjWXu3ILl02gyVhyGZNgcU0NvkGnodFsGBJGdk2cqfkMmPGDIr1YrQejc5IJydPneRE+wnCJ8IETwbRzBrJePJdR3o5Yg5TsqfgzHdiwjQupDJ/7nyunX/tRSGdxrcaee7bz3Hs2DGmTJnCVNdUtm3bxi+2/WIEMkuRIplKMm/ePPLy8vjqhq+ycOFCvvnEN3HkOIa136sZ09F3/vKOAQZMgwkL+uJ9AMS1uDF1P5dNrl9Z63E9baN75tlnIAlbt27lhz/6IV//xtfxXe8j3BHGVeC6aKSXLWYz0zOT9mA7vd29V4cNT7QOekM0AOvYz0+YEkzzTKNoZhELrllAwfQCQ9n1I7wkyWHe27NtUq/Wvcr7l78fq2CdFJvXU08/hdVq5cuf/hRD3sI0n0ybW2+8lyxb1jmPd/d009PdQ8G0gku/XoLh8k1A/y2ChZzcHHKm5FBYVEjy+iTRM0bKsZYjLbS0tdB5stP4KPsj8C+3za830YuQJRjOqyH55c5ng/pL01843nrc8GSOA0nrSZ2Znplc672WWYWzyMvL44n/eIJ8Vz5Hmo9gy7Kl3/snnniCW/72Fq4vuT6trASrwPvf934CfwnQE+3BnmMf0b/PfOYzRuafsxBVoi9Bd6ybO++8k30H9tF6rJU1a9eMLq8JfvVfv2JLdAv33Xdfv/ERflP7G/5zy3/yjW98gyXXL+HAwQM89MWHeP6F59NpssZl0zQZf44pDsxJ89Vjw+vfU3qQ+kC0n/98l9NFfkE+86+Zz6yiWbjyXQg2IR2yMRZkcqLjBBs3buT222/ngX95gIOHDvLUU0+lofb51vUmEgkeeeQRZsyccV7k0x5sN5SO2QL9WV5IgYWR3trW46089thjWK1WBIsw6kg9YuROGil11n9mPYuvWzysvYe/+jBd0S6+s/k7o/bv97t+zze/+U22b99OwdSCS0N65iFKLwXmCUaSA0gwz5nHlLwpXDP/GsLhMK3trRxpPsKJ4yc4eerkZUd6KdFIi55KpNIpkS6ETI4cPsLevXuNxJr98vnf8pNly6J4UTGk4Pd/+D2LFy020E8/0or3xVl2wzKuvfZapk+bzree+la6/Xlz5g27ns1m45r51/C+5e8bcX3vtd4R/fvyV76M3+/HZDIW9A/wRCJBX18fiYTxcM1mMzabDYfDwcoPrSQ3LxeSEO2KsvfNvez6wy66urooWVzC7bffTuAvAURR5IUXXmDrtq2sXLmSpqYmmpuaSSQS2Gw2vvkf3+Tbz357xFrbCyE9PWmko+8+043NbCOmx668OLxRy9b+yPYBsp67vjPXyey5s1l4zUIKiwrJyc4ZaYMzjw1JuApcfPazn2XTpk0sXbqU65dcz/r16438Y0NsgI899hgf+MAH+OCKD0IKUqToi/eRPzX/gkhFsAiG4TaZGIaAEoysn+PI4eabb8Zqs2IxW9i9ezfNzc184p5PpOudCJ3gxRdf5P777yd3Si7JRJJ4X5ypBVNHtHfixAmKi4vP2b//+q//4pZbbiF/av6lI8uzEF5yEpHrwPN2TXMx1TUV70IvofYQTUeaaDrUxKnTp9B6Lw/SS/Qm6OrpItwZZmbOTExJ0wWRya2Vt3Lr3946zBZ159/dyUf+/iPc9uHbwAyvv/E6f/eRv6PsvWWj2rAuhIQGpqFjrf/lf/0ysd4YjmyHkabJZAEzfPHBL3LjjTeyZvWaUW1+A/w73/sOb731FlVVVez78z7mzpuLyWKiJ9pDTk4Os2fP5oEHHsBiseD3+2lubua+++7jSw99iW/8+zdoeKOBG8tuHHN/B5BkvDdO+8n2YQ6uKzIOb7w2PNEhIhfJLPIuYtacWTimOIzQCJPlkmxya1ev5c0332Tvm3t53/veh+9637Dj9f+3ntbWVq699loWXrvwnO395je/4dSpUyOQWVtrG2aLmR/8dAv5yRQmQMVENJXCNW0aH678cLq9vCl53Ln2znQ5FArR0dFB5a2V6esdbj7Miy++yIqKFUwrmHZe+U6cOMEdt90xbDAYOP76669z9OhRnvj3JyAFfXofVsF6STa8oQjvctgQB7JsmLJMzJZn43K5mFM4h33793Hk2BF6zvSQJWRNKtLLErKIqlFORU7hdrsRbIKRr3EcSOXtg29z+vRp3v++9w8eZ8j7fJ7zE3qCOz9yp5HmvR+ZpVIpTp8+zXPPPccPfvCDtPLT+3Tu+fg9rPrwqhHtOaY4+Pbj36b5cPOwGU57ezvHjh3jt7/97Qhv7fdf+D452TkkkgmqPllFbk4udtHO5uc2p5Vte3s7Ho+HW269JX29aFeUkydPcsOyG7CYLfz4pR8j5UvjtuGl9BTdXd2EQ+G0w+Kqt+H1JnqZNmMaxdcUs7B4ofGRC5YJRQ6PPvaoEdB51vEUKV74/gv4fD5WrFhx3vZOnTpFe7B92DQFE2i9Gmazmfb2EF0YCi+Kie5EArNVOH//RrGJDSzHOZc84c4wHeEOkokk0WiULHsWLUdbiPfGkefKBipJJvjOd77DJz/5SZxTnbx98G0e+dojfPd738U11XXF2PDGWh5IseSY4mBe9jxypVxch1z8+cCfiXREJh3p6TGdFqWFollF5Fvzh62ZHQtSef1Pr1NSUoJzqnPw+MBM4Kz64VNhnFOd6bLZYubpZ5/GJtiMNeX9v3/6U5/mH/7xH3h/+fsN5ZBIEdfjTHFMGdZeTIsZDieThYf+10MjkNuXHvoS773xvaz5/9aMiuy6e7qxiTamOqcOQ14DM6133nmHuXPn8m+P/RudnYa9taOjgzNnzvDAFx4AIJFIcPPKm1l126px2fDOdJ/hTf+b6eWiV70NL56MUzCjgOJrilm2dBlitphWdhOJFMyYRz2+87c7OXz4MI8//jhaj4aYLZ6zvXs+fs+o7W/YsAGbzcbDDz2ErPdhAY6azHRZbGicv3+DRsOzjjOYT+3s8w8fPsyvfvUrTp8+jclkYu/evWzdupVge5D//fP/jTPfyfaa7VitVtauXQsmkOfIWK1WHt/4OE9966lRvdvvtg1vzN5wqwWP20NutoE29gf2c/zocWNf1UlCerqmc/L4SQ4dPMQN770BK9YxI5W+RB+/++3vWPfRdcOVyZDg5KH17/3UvfzzZ/+ZD970QWPjHYuJWYWzRrRvNpvJzcmlYHrBea+/Y+cO/nv3fxv56UaxER8+fJhwR5g9b+wZ9biu63zly19h+rTpg+0PrDDS4uz+79185StfYZF3EclUEpPFxK9/9Wv+9MafeOzRxwwlpiewZ9nPu4JkNGQbeDvA4ZbDJHoTV+5a2vHY8LKnZDN31lzmzJuDaBcnFNntf3s/ETViuM1NMH/e/LSBGBOcDJ/kmWeeSWdb/pcH/oW5c+fywAMPIFwImQ0tD9AYbHgjypzDm8u5r7d06VKWLlvK1p9vJRaL8fDDD/Mf//EfFBQU4Mx30nqslRdffJFnnnkGi2Chp7uHEydO8Ld/+7d8//vf5xfbfsGdH7nzirbhjaWc48hh8XWL6e7uNtYBn45OKtILq2H2HdhHTnYO13qvNT7gCyCVHq2HZ55+hlgsxk0fvGk4gkq/N4P1u7q7UCMqs+bMmjAb3uo7VrN69epz2uYGbHhr16w9b1zc2d7TRCrBr17+FaIoUvqeUmPntP7jWVlZmC1mHFMcY2tvSDmVTNGn99H0lyb2HdhHz5meq2Mt7YVseNYpVnLtucwqnMV013Rjbd4EIoE9e/Zw4MABrIKVN/70Bg996SFuufkWLCYLWlzjq1/9KrNmzeLI4SMArF6zmn//xr8TCoV47LHHcOQ60u3t2LkDwSqk1xEOjZgPh8NYLBZ+94ffMy2Zwgx0YKLHbKY3kYAUfGjlhwifCtPc1DwYRgIEg0F6enrwN/oHbSrH2wF4++23OX78eDrrSZ/eh3ehl6nOqSRSCfbv38+yZcuwmCy0tLSwdOlSIp0RPv/5zwPw9a9/ndOnjfxrbo+bmYUzueWWW/je977H0qVLjenvFW7Du1B/bFYbs4pm0Rnp5HDiMD1neiYVCUTCEd7a+xaJRILixcWIWaLhXT4LmbzxpzfY27iX1159DZvNxte+9rX0xz+AZDweD3v27DG85/3n73trH1arlcIZhWCGH/3wR+zevXuYzW0AeZ05c4YXX3yRbVu3DUNmyWQSvU/nRz/+0XmRVHuoHYvJQldXl2GmGQfyisVi6AmdXXW7uO/e+6h7rY62423p7+Ptg28TCoV46Ucvpb+XeF+cVbeuoqiwaNT2U6aU4eBJpHjn0Dvs8e+hs6PzsnjjL4sNz5w0Y8u2kWXPGhZXN1FI4O67707/vnr16vTxuB5n48aNtLa28v/Ye//wuKrz3vcjaY+9tjyy94AEs41EvIllPApyGCWQaFKcogZ8kG9Ca9+EBp+kbUhPewrnPGlC07Tl9DY3pE9zGtqmwWmb1lNMPiMAACAASURBVGnaHpNLcu02cBGNuZETTKU0ppoUEY0bKWyBhGewBs+2tK29pNka3T/WntFP25I8EoLL4vGz2Zpf691rrXd91/f9dehrh/joRz4KFbDn9j2YUZPf+Z3f4dOf/jRf+tKXCG0IlQwWxawSs9uLL77IK6+8woYNGzjy+BPoAYcnqSBfUUHe96msrOR9t7+Pvh8rl5hQSIUZAYyNjSGl5I/+6I9mMhIFNTO+8pWvlN5XKBSYnJzks//nZ1WarQp47rnn2LdvH/mpPAMDAxw4cAChCz7+8Y9zTf01bDW3cmXtlXOU01Rhik2bNpUy875eOLxF7wuK36oOV3NF7RW8OPjimvjlnT5zmvF/G2dycpLYDTG21GyZw+nl/Txf+J9fIBQKsfd/28uH7/pwybVjNpL5jf/6G/zZn/8Z3zv+vTnytba2lri69932Pt7xjncEXgBLzytXoHBJJPXXX/1rTpw4wZVXXsm7Wt91yfdP5af49d/4ddKn04TDYWLXxzj4lYNQgL5TfWzatInKKgVatu/YvsDPMD+ZpzpcfVHk6ow6/EfqP0j+e7KUD29N/C7XgsML6SHyXh5vwmNCTlAtqucgp7IiA1Tsop/3efDBB3nmmWf48y/9OVfVXTWHQ9u1axd/8id/wr333ssf//Ef87u/+7tQAQ8//PCC7x93x/nwgQ8rz/TJST7+kY/woeYbLsjh3freW9m9e/ec/v31ob+mq6uLv/mbvyl9f/9APx/7lY/xl1/5yzmuKLN/P9WX4vz589xwww0M/HSAiYkJbtx1I7rQ+U93/KcLc4aV8Juf/M116Ye3knvf93HHXc7lzlFF1dxkpquIDJysQ/JkkjNnztD89mbqt9YjNgoKhQKiWvDlP/8yb7n2LQp5XQApxW+M87W/+dpFkVX91nqVxWYVMg3/2q/+Gh/5zx/hLdZbVKWxS7x/Q2gDHznwESbyE9z0jptK1luq4G2xt62oP37BV5tYfooz6TP0/KiHgcGBVUfqrwmH53ou0xumOT18mi1btrA1upVKrbIUc1hWZACMuWP81qd/i2RPks89+DnedsPbFo2IuP766/m9B36P3/8fv8/N77qZ9/3c+xb9/i/88ReorKzk7W9/O729vTz40EPc+dW/onrDhiVzeIXpgkJxy+DwmIbvP/19mpubCW0I0fNvPTQ1NakjUwWMnx9nz5496LpeQohFZ+rx8XG+8Y1vUN9Q/7rn8Kampsj7eU4Pn2ZwaJBRd3RNIzAc12G0f5RXXnmF5hub2bF9B5ErIlQWKrl227ULajgsK8JgDe6jZnTZn9/9s7vL2p9ppnl15FUVc/zjU2Symdcmomat/PCkKzk9dBq9WicSiVBdWT2Tz62MSABUHjGAP/z8H5J4T2Kua8g8TurWn72Vhw8+zK7mXYt+39e+/jW+//3v8+Uvf5lvPvpNdu/ezdkzZ7jrgf/B//3g52CjWNz6Ou8+dzaHscWY8/uVFZVzjo2LfX78/DjPPfccv/3p3+aVV14pudTMlvcv/+ovuc66rvT5V8++ys/f+fMXtP6+3jg8d9xl4CcDpIfSjJ4dXVU/rQvdFyYLuI7LM99/hhdeeIHrt1/PW697KzVbalRWkULFmzUr5luXKyrxfZ9z7jleGHiBF3/6IvZLdilxxGsRO63S+ZVTk4ZmwMFsP7ypiinsl2yeTz1P8t+SnM2dXR1kAPziL/4iX374y3OVXYXizArThQWff/uut6vYyVnfl/fzPPSnD/G3f/u3pWwR00wTCoX40oOfYzCd5gO//RlefiVzyVja6cI0zz77LDtjO5flhzc1PcUnP/VJ/umf/onNWzbz05/+VKXwmW/9nWbZyPFSnNl64PDyU3lGXh2h9997eab7GX7y05/MyaLxWuTXy0/nefGFFzl+4jgd/9zByX87ydBLQ4zLcXVsW8dIb63vx+U4zyaf5diTxzj+9HFO9Z+akyXnNcmPCFQKTSzgRFZyH8XDzHtzOLxoHqxZ6dczwxme/cGzfP/49/lx6se4Y6462s5DEiu5zzk5PM8jvClMU6xpwev5fB4/71/y+5779+f45V/6ZTo6Ovj85z9P28+2lZSINj3NNVdeRefBh5menmbvR3+Jf/j613Gyr17w+4798zFeeeUV7mi/Y+HrXFo+Y7OB9CQNDQ0cPnyYw//r8JzPV1ZULvw8K3ueVVMqxddsv8EtqJRRlzs+l7qfRsWwVlLJuDvOwAsD/MvT/0LPD3s4O3J2DrIrx3y9nPu8l+fF4Rd55vvP0PmdTr771HfpO9WHk3MoTBUoTBVK1siqyqoFfmlvpPvFMjdTgI1iIye+d4KXX3y5lBT2NR+/cnF4UTz2e2qxRHyJAExfshewfXhC18nM5kROjXL69Gmua7yOHdt3YG412VS9acXI4HT6NJ/65Ke4fc/t/MP/+gfccZePfuSjpRq300zzsY99jG3btl3w+/79R//OV7/6VZ577jmuv/56Dh06RMO1DTOxtNPT6MCVhTzVmzfznYe+yMOPPc7nv/Y1vvK1r5FobeVzn39QPZvg+3/84x/z0J8+xN13340ZNVeExJ548gm+973v8Rd/8Rf09fVx8OBBbmy5EWubNZM5dzG/v+VmPp6C2iAP3kRw3A4BW/08ZysrOTtVhawqP5IrEtrThWnkhORM5gwvvPgCP0n9hFfPvTpnsayrTMo+5LU8p8+c5vTZ0/T393OVeRVbr97KNQ3XcEXkCjaFN7ExtJGqUNVMzZE3CJIrTBWYmJzg/Nh5Nuobqdk0N9NxRaFCFYwaPb9+xq9cHF7TGLT5EsMHJ0jzHtNUsaioJrE9cGoiCziRZ//1WQZ+OkCD2cDOHTuJbo1Ss6VGBepXVC3JmmvbNp/4xCf4mff8DJ/8zU+yd+9e/uD/+AMef+xxWltbeetb30o4HObahmsZHBzkxZdU+upiCNqmTZuIx+NEr4qSy+X4zGc+w549e9gY2jijDKaBqSkqp3yumA4orsoqfuvnf55f3XM7f/v0Cc6HQqXUVOecc3z7n77N3/393/Ge97yHe+65Z0H//Uk1Ank/f0H5vvPUd/jCF77AgQMHeHvz24nFYlxZeyXX77geOa4g+ic+8Yk5/lvT09MXjeC40H1NJUT9ApumQQTn2iumC2yYhlChgNSqyE9RSna6Uk5umgD5BJmrC9MFzp09x5nMGVI/STF8ephzZ89RNV2l6oe8DjIlFxfTS/ZLvHz6ZXp7e6mL1LFpyyZqr66l9opaoldFqQ5Xz3B+szJ3r1cOsLgZFWtm5CfznPfOM5IZwR11GT49TNbJMnp2lF/55V9h85bNcz7/rpveRef3O9fNeJXND6+zRqdtDOKB0itVhQIyQFq/8OfPnjlLLpfj1KlT1Jl1NGxt4Npt19KwtaHkxDmfY5uNFK6++mruaL+Dj9/zcWV93XE9X/+7r/P095/mO8e+w7PPPsurr75aSoszv917773EW+JcbV7N4UcOL+onOFUB3tQUm6YU8pmddEpUV9PefgdnK6vU+8Y9PvnJTzI0NMTHPvYx7r777kX7LyeVwpqcmFwU+Xz1b77K17/+de68805+7dd/rZRc8+fafg4qwJtQxcA/97nPKX4w+FzubI4PfnD5ERbnp8CpqKR6ulCSb0Pw2lhFJWMF5mR2viyOsAJy53KcyZ5h6MUhXhx+kZH0COcnzpfmR97Pr1tkd6msK+enznN++DxkoDJVycZNG1Vy0doI5tUmW6/Zir5RR1QLNmgbqNRUSGSlVrmkLC2reT+Vn6KAqnA3mZ9EjktkXpJ5OcPpV07jvOrguA7SlXM41YNfOcj9n76fEKHS993YciOd3+1cP+MDVLTf1j5dDk0aw+OBMUl0lluKo8ERITga0lUF+CV8X/WGaqYqpkrK77q3XEekNkK4JozYKBatJnZJP66Cj5yQVFBRysdWWVVJBRVs0DYs6ftePXOGyHSB3VdcOUdhjlRWMlwB56tmYoNfTr9MzeYaNlVvuuD3jXvjvDz8MtZbrFL+v9mvj2RHSPYkuWPPHYt+3p/yeXn4Za4xr5nzeQqQfiVN3VV1JaS8VCS2aWqK7QWomZ6xXMgKSFVWzpFvucguP5XHn/JxR13OvnqWwRcHeenll8i+kqUwWcDLe68bJHe592ERxsdn46aNGDUGtUYtlaFKaowaaqpr2KRvokKrQN+ks0nfhL5RLyVWKOYTLBUAmlezpWK6Yi4ymw6yohQUp1isCVN8fXJikkk5ydj5MSbyE+Qn8kyMT/Cq8ypyUjLmjCFdybnz58hP58l7+YvKp6Hxmd/+zJwCRX/2xT9bN9XtOp/qrKhovbV1WkcvTXAPj5Xe3+t5tPtSVXQHOoTgsAaZ0Mq+r6KigqkNU0S3RKmtq1XB5FfUUBepo6amhurqaiq1SipR6XRA+cVVzcJg5bwXBYgV8mwK+LfJChiohHOVoZInx2r+/mrfVwFXTOW5fpaldqgShquWJ990XvFxY2NjZM9lcUYcXnnlFc68coYzo2eomFCL8HLn2xvpXtM0NE1jsmqSGq2GjRs3IoSgECpQXVXNxo0b2bhxI1V6FVv0Lei6qtVcubESPaSXaA0fn8qpSvL5PBMTE4xNjDHlTTE+Po6UknPyHBWTFUxNTTE5Ocm5iXNUTFSUkoOO+WOE/NCK5QltDvFb9/1W6f7I/3OE/3juP9bF8+483lmhiviUqbXmPe6TCuVJDQ5pgg5dR5bp+6uqqgiFQlRXV7NlyxauvPJKrrr6Kq6qu4rNWzajC30mFjZw9C0qwrL8PrB9aoq6YLGer4CBykrGKqt4ozSjMEWsoIoUUQF9lZWcq6yaE3FW5AkLBVWNy8/7TExOcO7cOc6cOUN2JMvZs4qqGB9X4VnFULo328pa0bm8mCuvmMm4CAxmz/Pp6ek5Y1S8L24yxetqNcuy+PCHVXTSq2df5a/+8q/WxTNURXzKqEkdgmLHGjiof7KcmnpKZ2pqCiklL599Gd1WO1t1dTXTG6e5astVXHnFlWzZsgVRI7hi8xWEw2F0XUfbqLGxaqPKuVZRQYHCspEhVDEGXBEov3MVleSD97yekd3sewmMAzXA+elpclTg+1NMFibBB9d1GXPHyLk55KjEOecwem6UV869gu/6jI+PMzU19SZyK/P9+cJ5dPTXBTK2bZunf/A0u9+9mysDCmg99A+KZRrL2Frz0OZ7JDXoDJUP3S13NyyiwY0bNyJ0QTgcZnPNZq648gqMLQbVm6pLSFHTtJmds5gSfpFWUVFBVQHMwPUjW1GFrHz9oITirr/Y36enp2EaJvOTVDhnuWF0lO/IKUbGXV599VVyuRxSytLRaHJykqmpqVVHC2+21287cOAAb3nLW/j617/O6dOn1wXCKyuHV/xLqxYh44ONXLc7UfFovHHzRjZpm9i4cSObwpvQt+hEqiNomsaGDRvQdI0avYZQKERVVRWFigLhig1UaVUUQhoVWgWhytC6QWr5Qp5pf5opf4qpqSkmpiaonK5kujDNZH6S0fFRpqSKT81P5smdzzExNoHrukxOTjI6McrE6ASbR8cZms6/ibTevL+s+/s+cR9n0mf45qPffONxeCVXjaKF73XKlRSPucVUUSFdKccrNl9Bta6QYSgUKuUn86THlK8sv1VVVaqmhFbFhtAGQqGQql4W0ghp6qppGlVVVVRVVS3gX4ocS2GqUAqcn/LV1c/75PN5JvOTKnLE9/HzPv6Ur7z7p6cVWT05weTEJBMTE/i+X0Jivu+XkNnU1FQJ2U1PTzNdNY0RNhBhQSQcQQg1io7r4LkemWym5Gr0empCCIywgR5WJL8QymonXUnOzeFkndclehJhgWEY6CKQSxNIGcjkKLeR9dAqKir4b//9v/HnX/rzSyoNLwyEARGkXfIDJeLq6Fkue/6VhcOL1kaxdlpEIpGZAdAEEglSKQPHcbDTNrnhnFo463hnKh7RhCGI74zT1NyE1WCBUCZuoYlSmAo+pcWTHkljD9icOnWKwZcHkVOS6orqErksKyQ6eknBFe8pbQ4SMSswTyLZOL2xpAA9PMS0KJHQ49PjiGlROpKOT48vW14ratEUayK2M4ZpmqWFMyc+MJAx5+bIDGWwB236Un3YGRvdX5/IwtpuEWuOEd8eR4/MKAS0eXJJSS6Xwx62SaVSpE6lSopivc1PERbEdsZoaW7Bsi4wHwOU4UiHdDpNejhNKpXCHrDJ+bnXpP/T09N89a++Sl7LL7D+Ug+yGeROkHUBUtKCf0j1Bx/wPciBGAbRD+KUDtk15PBEWBDbHqMl3oLVaBGtjZZ2GrQZr2bpS/BRBLcrleKzbXp6e0g9n0LK9YcBo9EoLfEWYjfEsCwLM2pihA2kVP3PublgQxIKNYQVasAHx3FIZ9Kk+lP0nAxk9NefjNY2i3g8rmRsUDIq5OPgSInn50rv1TWBoUUQwsBxHXJOjkwmQ1+qj+TJJKmB1PpAfhrEdsZItCaINcYwoybRaBSJVJuSL0uTXkdHIEoKw3Ec0tk06aE0yeeTdHV3rRvkZ9QatMRbiN8YV/Ox1sSoNZRMUpJjpriRjj6jBCUluWzbpudkD8lnk+tiPnrbPeRNIGMg68GLApqcmUea8vIASi5uALoLZAUiA6IXRLeOnlk68ls2hyfCAmu7ReKmBPFYHHObiSEE9oCNk04jXQdPzuq4EOhCYEQiRKJRjKiJ9CXpwTTJVJKe7h66nu9aFzupCAviN8ZpuamFeHMcs9bEcRz6Un1kMjY5NwO+h5QOaDMQSGgRRNjArDUxG6xSjKs9qCZZx4kOnGFnXSAFI2wQa43R9s42mpqbMAwDx01jZ1OkHRvpOeT8HMxeFJpAaBEiNQZm2CQatjANCykhNZCiq7uLnpM9ZDKvEXLXPKxai7Zb22i5qYXY9hgIsKVN2k2T8TN4vrdgoQsEuqZjCANTmJi+SdSIYmdsUskUnSc6ST2fIidfG2QkhEJ0iVsSaj7Wm0gktrSxpY2UUsnFQrkiIqLk0kxMzUQgsAdtkskkTxx/gsxg5jWZf54Bzi0e3ARyp8QLB4pNC+gvf+4Gxuy/aTMHDwHoGYFIgXgGRFJHd8rM4UXroyRaE2oH3R5Dug52bx/2QIp0v42TTeO5atcpLhgRKDxhRDBqo0QaTKztMaxYE6LWIPW8mlhdJ7pwnNduRy3K1nZLm5pYrqQv1UNqIIlt9+FkMnjk0DUWHIs8Xw1BxDAx60yi9TGaYi3EdsbAh67uLjqe7CB1KvWao7rWW1pLMqZdG3s4iT3Sh+2kcNz0RXd/oQmMsIkZNjEjMWLRFqzaGI4j6TzRSefxTuwBe815rNj2GG23tZG4KYGoFdiOTcpNKYUnlUzyImyygUFERIj6UaxaiybRhCEMUqdSdD7VSdfJtUd70dooLa0ttN3ShrXTQmoS27XVv6JcF5GpiF6LCi9mxLCEhUCU5mPy+eTaIXNNoTrnVpCt4NVKZMDRSW15XP9spSd80AcExnEQJwK0dwmEV2VZ1h8UNWGIuWfsECF1VNgRY+/evey5bQ91Rh39yR/S/c/HOPlkB73fPcbwCzbOmSyu4yBdV8XfjUvcURfnrEP2dJrhgX6GfpwiM2iTzWahKkTshmZ2XL8DfYOOnbVVQHxh3u+zuvfWNos7997Jnj17iGyOkPpJiq5/Ocrx7g6GX+hCTmZBk4Q05lahQt2HNAhpPr7v4JwdYvilFOmXh5HjYxh1JrvetouwEWb47DDOGWfV5VnsPrY9xu133s7ePXvRN1fQ+1IXP/yPo3S/0MFAthdXOirc6CLNL/i40iEzOsTQ2RRZdxh/yqfuqiixxl1oQiObzeKcddZEPmEIEu9IsH/ffna/ZzeO5tCV7aI7201yNElmMoMsSPxLrGqJxPEdhgvDDMkhcuM5QoSIbYvRYDbgF3xyZ3OMuCNrMl7R+ihtt7XR/v52rO0WQ3KI7mw3XWe76B3vxfGdS8rk4yMLkqyfJT2Zxh63kb4kXB2mpbGFuro6hl4dInsmu/rrTUCuySP7IRi7VeJv9pGVICvBrVy+zvVnA8FKoNZnytTwNRfN0Qk5F+7P8ODwZ0sKb/aLxXuhCZpvaOYD7/8Aifck8N0xfvidDk586yjJE504Z7L4y3DD8n0fJ5sl3d9PZqAftBANb22kubkZvVJn6PQQ7qjLhfpT7vtofZS79t/F7lt340ufp7uP8fSJo5z6SRf+ZHahgrukiReo9HFH0wwND+OMOkSuNNnVvAszYmLbNo7rQGFt5Csiuw8d+BBt723DlSM8PfAYT//4EU6d6V0xn+MXfLJumpFRG39KYhoWzY0tiGpB5qUMzqizqvKJsCDxrgT79u+jcVcj/eP9dJ7p5ET2BBk/c0mFcEHlV5AM+8Nk3Sz6Bp3GaCPXXX0d7qRL9ky2lKFm1eZjNMrePXvZs2cPNVfU8MPRH3LizAl63V6cwspQpo+PW3AZkkPIgiSyIUJsWwyzzmQkPYKTVZvdqoyXgNxOD+du8N4tkRq4k+BuuHxwWTTg+oC22afiavA3gDYcIuQu3h970P5sVdSK/sGFNHXzrmb2372fm+M3M/LSECeOfJOuf3yMzNDQ3My4y+2s7+M4WYae60XTNEzrWmJva8Yddxk6PTRnYq3WzmMYBnftv4vbb7sdd9TliacOkzz5GNmz/Zdv/64Ev+DiZG2Gz2SxronRfEMzYSNM/0A/7ri7Jkg2WhvlrgN3cfutt5MdHeKJ3kN0/+QpHDlSlpOKO+kyMjpMTrpce7VFzNoFG6D/J/0lg1S55UPATS03cde+u7B2WKRGUxw7fYykm1yxopvfHBzS42lqtBrMq0warm7AdV2GXhpSsaarMF4iLGjf286evXsQmwVd2S6ezj7N4ORgWeTy8cnKLJnxDKYwiV0bo2ZLDc/ZzymQUe75qIF3nUf2bvBuVgdwyYwxolytiPi0MFRc7eMj0QZ0QpML+2cP2p+t2mHt+IPFNHW0Psov/+dfJn5DnPRAis7/61FOfucYruuWp6cF5RZgJ08iagxM61qamneRzWYZOj1Uyhe3KjuPBu0/185dd92FlJJvP/53JP+9A3d8pLyDUfCRo2kyGYfrGptobm5mwp3AfsEuKYTVQkIiLGi/Q8nojGf49skvkXzpaaTvllVG6Uvc8Qwy72JFm4i9tZlMNkP/T/pXRb7Yzhj7P7Cf2I0xUm6KjkwH/bK/7LSTW3BJT6YRBUFTtImaTTWkX0mTPZ1dlfHa/d7d3PULd2HUGjx99mk6z3aS9bNlVg4+ru+SmcxwXfV1xLbFmHAnSA+m1SZcRnm8reDs9Rm7TRkxs5WrRxmWlF41VFwp0M746IOhBf2zB+3PLsrhCSHYv38/iXclcDNDHPvmoyS/04GcLH+X/QLYvb0Y1zRgvdWizjQZGRqh/0w/ocLqIB9rq8V9n74PIQTHvvMoyWT5ld0c7mt8iBHHZ9fbWrDeatH/436GzwzPQcllRUIaNO5s5P7/fj9+pc+xHx2i+4Vjq+aSoPz0MmgVYEVb2NG4g85/7USOlhep1xl13Ln3Tnbfuht70ubpM0+TGl89Y5Dru7jSJUKEWH0MUKUzpZTlReL1UX7tv/wa5laTrrMK2ZVb2c1BepNZPN/jOnEdjY2NDL4wiJ2x52iky5HHC4PT6pH7oIRKcHzwNVa1zSg9n6k6DZI+urtEDq/5hmb2/e/7iFTrdHzjm/R2HscdXz3/Hd/3GRrox7q+idiuOM64Q3o4XeLzyop8hOCX7vkl4m+L09vXS+d3D5J10qs7GL6Pc7afurpdNG5rgEqN/hf6V0U+gOhVUQ58+ACN1zfS+5OnOZo8uOr+V0Wl1xDZhRVtJFQI0ft8bylLSjnkS7QmuP222wltDnHi7Am6ne5VNzA6BQfN17hWXItRY+COuvQP9Jd1vO666y4SNyWwR22eyj7FsD+86nINy2Fq/VqsKyz0kI7db8/xlLgcefwdHs4+8Lf6SBfc8NoYg31AqwQ2+NRMaujPhRZweJVFZ8zZmnD/vv2YUZPk8U76urtwcrnVn1jpNJ2PHSEzaJNoTahCPMx4SM/u3+XcG7UG7be1A9D51CEcJ7cmgyGl5InHHsZxHBK3JLDqLcVzlFk+T/MwoyZtt7QhpUNH78E1czZ1ZI7O1CEA2t/fjlFr4Gnlka/oJ2lts0i5KXqcHtaqpfwUPbIHq94i0ZpAhEXZxksYgrZb2xBC0CW7SPvpNZOrU3bi+A7xd8axGi2EJi5//gkP2QjeDcpI4RisaZMABji3STxjYf8q5wb+Q8vOFuU8KyU9J7pwhtbOtyrV3YXdn8IwDGLbYxi1BvP7dzn3QgjabmkDDZLPJ0mP2GvqeZ7Jpkj1qoXa1NxE1IiWVT4A0zBJtCbU8xzswXbWbvykL7GzNqnhJEIIEjcliIhIWeSL7VSRL47vYEsbx1873zjHd7Adm4yTIRqNEt8ZL9t4td/SjhE2SGVTZNzMRf3ryj4fZYa+TF/p+Zr15mXLQz3IGwK49Rq41haNI14Y5E3egv5VztfUidYEhmGQ6u4iPWwj1zBsSLoS+9kkTiaN1TgTtVAupCeEKCmDnmQHUubWfEB6TnUhpSQejxOpjZRVPoCIESEejyN9h56hzrWfcH6O5LD63cQtCYywURb5rEYVAmdL5YC71i3tp7GxidRGaIo3lW28WlpbEEKQ8lMqymWNW8pP4eAQb44TrY9etjwyCrIRpABp8Jo0CRAG55aF/dPma+p4PK4G4EdJnPTF4XXr+9vZ/8n7SXV3ceh3H5j5+7793PM/fu+Cn3vgQ/vJ9C8+afuSPcRvbcMK4jyTzybLspMWw3Ws7Rb4YPf3rDiWV4QjPPj7h5G+xwO/u39Zn7X7u5FuDmubhVFrlA0pzA4fM+tNpO+Qyiyd42qP30NieztG2MRx0xw5eZDkYOcKFJ6kL90FfIrYIx6vAwAAIABJREFUzhiRcIQMmcuTTwOr3sIwDBXzKld+7GuPtpMwEhiageM7HMkcIekkl4bypE1rtJVYYwxd0+eQ/CuST1NO4QC2ay8b3a1Uljnz0bXxfA+zXkUKzY7LXdF41YEXlTOKZ5nt97iHe2jHxMQmzQMc5Cidy1d4GrBTQjBOxf7N4fAMwyBSG0FKSdq2L6oQ9n3yfg7MUnJzHmJvD4/86UML/qWe7cZxnIsqUiedJp1OI4RQCEhQHo5Lg0itSnuUyWaUA/AK2z0f/b058bTLOh65OdJBxhjTNFU6nDJxeEIIRESFFaWdNM4SEWxrbD/73nkvdjbF4R88RNqxuefWB7FqYyuUMU0mm1GpmRqMUqqpC/Xfi3p4t3oXfN0wDCI1kZlEACs89rUareyL7sN2bQ4PHyYt09xTfw+WsJawiCQ5mcORDkbYIBqNXnw8BHg3eHg7vTlzePZ8jEajiLBQSRn83LLkuhxZ5owVDhk3AxoqiURYXHi+aZC7LYe3zStBpdmve+FZqG4FQ3QP+3mQe+kmxX08hI3NYR4kzsrmoReG3LaLcHjFrBlONo2U3gUdZ9o+eoC2D+7j8B8/RC6zUHll+m06//7wgn+RaJRUd9dFc3VJKdXvu5JobZRobbQsyEdoQikYIJ2xYd5EXWqL39RGbGeC1PNdKz8epW3wJREjQjRcHvmKxL5Zq4LMnWVYntt27iOVSXLo+AN0p45w8Kn7cdw0bc0HVi5jwB2ateYchbcY58MvgPywxPuvHmxjziago6vvCAsc37msY19bbRspN8Wh4UN0O90cHDyI4zu01bYtGb3mZA6EkuuC4yHAu9FTcv0XifdhD++dHtTOmo8IZbiCFSHWy5VldsvJHNKXav6EzcXnl0BtSh8E+RsS74Me3g0eupglvwHUBv+/AirsXvbRTZIDPMAhjrCX+0mT5n6WPw9LGmbu8mJOPjyzQQmby2RU1pMLtK6jR0j326S6u9j7kbuXtiO9v51ovcWh3//8pTvrOEg3h67rpSPRkvJd/QwQAr1Xx5uXL0tqUvFJPuRyKzsSCSHY/wv30nniKOIy/Iqkm0P66vg5e6e8pHzvB3Kg/0jHcxe+HtWiRMIR8CW5JS4iISKYhkXn84fnovRsasUITy2idIlTRFPWO10EykCbQTk0goxJ2AayViIaBF7aQw5KREqgD86k4Fos68mSx04TmMKkM9u54Ehnha0lLiL1X0SLICJiZpEDXnguEpKmhAaUXPUS4oANPA96Uke6kkhdRKWnwlkWuiuHLPNRHkCkJqIQXhg8Yx4gEIEyqw9k2ibhJqAXSAEDwUYliutteX0wiBDD4iHmzsNuUrSuEOGhCai7CIdnhA2VvHPMu6iGlq4k1b08hJP4wF7sUyns5KXdCbwxD6QsZahdCtLhZ0Duk+qh3wCcDAbBUbuNYGECyOW2fR+6H3w4+o9f5O67H7hcWhWhqRRFS5Lv/SB/QSVVpTGQbxhw53Euy5xopqHcEdK5uZxqzk0T39Y2U9dzuS3IhSg0tYCoB8/01I47m8yOzLo3QL5bKpkctZC8x70FtMZKmilMJee8jSDn54hrcQRiSUpHaqrGqS50qAWv2VPybZv37CMzi59a9U9uk2rs6iFyPFLKG7nsMSuTLAsVhBoDr9ZTCnpev2QkmH/hQCYjkCkO4riAEQU40JYvUwyVzaWPufPQJs0+2lYokyxRT8X1oc1BEqtkkY02Wlg3xDn6FwdXoBqCorrFXedCD9IKBiEKMhpMrH6QGYnoF4iBy1s1seYEiXe2c/Av7i/bc5JBzY8lyVcfKIbwLPmGQA5LRFKgD69sDOcka52960tHJZMUEaSbXtni0YLxE4AJbAdpSTVO2rz3+rP+FqT6lkLCj8ozL4vZpOcvGsd3Skkzl6vYvbCH3CYRUYFslAsX+mJybVe0DUlWzEeuhizFuSN1qVxL4nLxjcZfqCAJB3NRsmJ+NXIBmXI4CAQmEWzSK1hj86blnGNf8SGVOQyk7cMHkFLSdfTIMhaLysBb3CG9Zk8ht6V4bQcoT+6UCimcAh6jZISJ1Bgzk3GJR9kDH/wUXd1HSaW6Ln/xCQOhzfTHqw921G1LlM8A3g3ynRKySsl7T3qlpJAgEELntWy6FrijuJ5CbMFcFa6Yi/AEyAY5V+4A4YmUUAtJKLSoa3rZ5+ZyFY0I0o57Yx66q8MgkA3kmofw5HY58zcZoNYsiF4BWZB1snT6EOWAsZe5GXh5lUqdvHKIXvCsBcib5qkQNzhpDIAYAeEJvFXSIyuSzb0Ih5cbU+SlEYmoZJfl+MGwoOWWBD3HO5dcWESviagFG9Qd8MKe4kEaL6EQwotDdFkvyZk5ciMqHbZRay7vKPsL94EGHU8dxjDMWehIxzBMpMwty8UlEjFBE+Sc4HO1Ac8T4+LHN22R+1qFmkStgAGV1ltoEFkqL+XLOUivpFOFsSjyWzKqD8hvx3GQjlLM+uA8Di8glcVtQikHFxgE0S+QgxJS6jO5qLKOmppJRIusGE3PXtwlOQPFvBRkIhBEiOD5QVGjrOLjALzkXM5LNsvSsY9hdTwXg0qB6wM6OSdH2lC7gKmZay7L/M8JTSBdiZdRitwbXITDawWKvm1ZJZfoF4rHe17BJ9wgMsZfHo+Xu4BMkWB3zLEyxFrcaBfl8OxBFUAcqbcQ4UjAsl5eS+zbjwgbdD/esWR0Z9QaCMMgl8uRy+bUTtod7JAXUnjRYJKFmUmWVdxRUwK9WycTVpW3zKiFEPqSlVRTrJVorcUX//CJBa998X8+QeczR3nk7x9c8hHSqDURGjhZpQx0GciXuYjCm33M8GdQEFkQ3QJ9QMeRjlLqCMxwdElHm3S2D+lLIjXmAmOG42ZW5JwtNJ2Iofwd0+k0UkpV8Ecuwk+64DV4YAaL54RScroz8x4n6+DlPAwMtThXwOekg4zO8yM/hCZwpHPJ51TMImwIg5ybI5fJFRl/JZOjL1QQKZBpiXhWoJ/UlZKYt96kVMa0+X59qynLAiUefI/jOMpdy0WtuXlgwtM8NYYZECcFJEE/NTOuaCCzrAjdJelDIrEw5y1rZbR0WN48FIHCExn9whxeJpMh5+aw6i1ErfKfutxCO613tC/ZWFE8PkaiygHScRwV0OyrXZHhC1szvVs9hZDkjJLjlNLZekZNthyqAE20PoppxpBuz5Imx+FvPVSKGCi2lpvasOqbOPKPD5PJLH1jME2TiGHiBJXOcjKHLnX0H+lw6iLyfTDg94oTrjeQbwjF3wXQPeNkyGQzGIayvtrZ1CURnp1NEatP0JE8NKPko3HsbN8KjkfKEGKEDZysKiIzPwvHHPkcD/24ruQ4pazPc3gy1CLLZDNIqSykhmaQ8TPLRkW2tImFY3Qws/k2hZuwpb2kjcoMq3mZHkmXAu0vNF76gI73pIfwlaV5MfmlK0ln0sS2x4iK6CVTt5dLlvnozgybpb7k3AvU8HBB/wcdqUnESYH+vFLQ820AMquK7Sw3ykIiSZJiLwk+z8w8bCNOD33LV3agSjtmPJglzxwOT0Ug2JhREysWw34+hUyv3Ks91prA2hnjkT/+/NIVgmVh1JmlCmClxRKgmgtaM1MgbhAKlP4gOGrMy7AjpaQn2UN7fTvxG9tID6WWdMxO9S7k7azGFsyoR3d3x/Keyc4ERliQOqWyU8wxGF1MviQQAzESoKDnZ5TcHAXhevSl+lTxF6vtkgoPoCt1hAO3PMDdtzyAnU3RUt+KETY53P3QCowVgliD8gXrSfYseL6LyueA/uzFrdX2oE06kyYajWIKUznLLrN1Zbs4UH+Au+vvxnZtWowWDM3gcPbwpWkILYIpTKQj59TuuJh1XR9YyKPOf38ymcTaZill5dpLVuSXI8uc00u4qVTkJz2Svri3gA+Rv754bLQxAplBgbhRIlie//HDHOEQD/A3PEA3KfbRionJx3lo+QpPKlBwyVja7me7ka4kdlMCM2pyOa3tg/twHIeux55Y8nE2Fm/BrDexB23sWYkLLhVxwADwLdD/Qkd/SvnhzX+/lKrgDEBLvA0h1jbYT2iCWHOQGSPZRS6bW7p8PwLxiED/so7+gwsgoeD4l/xBEoGgpb5tATe3WOse6ODoDx6iKRrnwLs/hWlYHP7BQ6SGl2+gMUSElm1K4XX/oHtOndeLyXep+55UD/aQjSlMrLC1IpK/2+nmaOYoTeEmDtQfwBQmh4cPk3JTlzz2RbUolmaRzqRJJpNli6XtOqEc8WMitix+cqWyzJcrJmIITdDT20N6OH3Z8jCoI3qD4+QyD4eP0MH9PEQbcR7mU1hY3MdDdNK1bIWnSzBOLOzfgljanu4ech/MYe2MYVoWdqrvosfaB37hwrGkBz95//IWSySCdVMCozZK35NPKE5xCTtp6X7gEq/7kDqVIjOsjrUt8QRd3Q6Ou3yeaqmc3YyyU64tVr2F40hSvak5+ceWJN+PuOT7pZSk+lNkshmitSbxbW0kBzoveVTqTB2hM3XkshV6U0OCqBElk8nQdbKrNHcuN1bYGXawB20SNyWwwhaWsEjJ5Sf/7Mx2LnDYXcqxr8loQmgC27ZJnUqVLfY5dSqFPWwTvyFOzIiRzqaXnAlmJbLMOW2EY1i1lvKr7U2VSm1ejjy6A7IfdEdA7fJR3kGOcJCVz8Mid8ewUDTRvP5VevkghjG4pnNqB3Nch/gd7VhBXrq1aInbVKUme1BVgpeuZH7/Lveac3Mc/sZhpJS03XYPkUh0bdCdiLD//fcihEHHUx3Yw3ZZ5Zp9TWfTHPnHI6AJ9sfvWzMXFTNs0rbzbvDh8LfUMy6nXMmTSZLPJ7GERdyIr5krR5NoIiZi2IN26YRQTrk6Hu9QeRLDCSzNWpv5iKAt3IaBoUpsDpZvPopBHXFiZSjvcpuBUrbicfX78/tXqYcCzTzreuTxI4pMvTFO7KY4Rl1k1TsabbSI39GOURul88RMjdPF+ndZV3Q6n1Lfb4QNWn9mP9Fac9WVXfsd9xCtt9QR/3iXctVYDflCKmyp60QX9qCNYURpa757SUfbyxq/sElb8wGihoU9bNP5ZKcyNpVRrtRAip6TPUhH0mQ0ETfiqz4v4yJOa20rAkGqN0XqR6myj1fniU56ensQmiARTSw7AcBKWnttO1ZtMB9PzNTeLYc8+jCI7qBYtgaGu3bKDh8YBPPE4v2rXExDZ4YzdD7VSSabIfH+/bTc1j4nALzsCiEs2P+r92Jut+j+UTfJZJL0SHrVEJD0JQe/dlDtqq3ttNzUjmFEVknZCRI3tZG4ZZ+C7H99EHvYXhW5Zl8z2QyPfO0R8KHthgMkGveumtIzRISWxnbi29txHIeDXzlIbixXfrl86OzupKu7i6gWJVGbIBaOrdq8tISlFFDYIvmjJB1PdZDzVkeuR771COnhNLFwjFajlai2OicPgSAejpOIJhCa4NA3DmEPlH8+cgqMJ4vrm1XH4kaRuxuE6N8H4amL9Ktqx1tV1bJQVVDlJ7imM2nMrSaN18cwGxoYcx2yL/Qvqw7tUhXCvvvuo+W9u3Fcl6OPHqX3uV4qpitYrF/lurpZF1mQNMWasKxduK5LLjuMnCwfBjfCEW5+xx7a338PYWFw9MhRjn33GO6ou2pyFa8UIH02jZyU3Pz2m2mo3UFufITs6NAli24vT9mZJBo/QNuuA/jjPke+fYQT/+8JKipWZ/yklKre75YIse0x6jbUkRnPlD0DsiUs2qPtxMIx+k/1c+SxI/Q+30uoYnXGSzoSOSnZYe2g8apGfHzlplKQZVV2sXCMA/UHMDYYdDzewbEnj5E9my27PPpkCJwQFRtAXu8rl5XKVVZ2wwLjcY2aLn3RcVJ1aeujfxCqCuHlPWZfc2M5stksxhUGjdc3UXdNAxXTFaSH7FIJxctqGhhXRvjAfZ+g5edux6+ER7/xKJ0nOpHjckF/yn0dmxgjm8kS2hCisbGRRqsJTQjkeRdn9PIrRkVrTXbf8gHabj2AqDY49t1j/N3hvyOdTq+qXLOvFVMV9L/QT2RzhMbGGNfW7UILaYy4GeTk5Z8zLMOirfkuEjv2wqRG51OdPPLoIyXublXkmvCQ5yUjuRHMOpPma5tpEA34BZ9hWZ7iN3EtTvvWdhrDjdgDNh1PdHC86zhMsqrzMXMmg1/wue4t12EZFnUb6nAmnbIocwOD3bW72RPdQ62opfN4J9989Jv0D6uCRKshlz4Rwj/tE7pSw9/mEwY0J4jAqCy3sgPxlIb2BOhy8f4MvzT82QsivFBVCGfUwXVcRFjQ9LZdmJaFtkln5HQGeRn1aYUQNL59F3f+6r203NqGj8+Rbx3h2PFjuI67qshn9lVKSfp0mopCBQ2WhWXtou5KE7/g4zjpUsWt5aK62NsS7HnfL7Er/l6oFBx78hiPHnlUKdg1kGv21Z/0sYdtQlqIRqsR66od1G2sQ/oursytCO0ZIkJ8Wxu73/bLNF2bQI76HHvyGN9+/Ns4Z51Vl8v3fZxRFVWib9Jpvq6ZrWIrhmaQkzncwsrmZlSLcvvm20lclaAh3EDq+RSPPf4YP/zXH5bca1ZVrkmf9BkVmdJgNtB4VSORygjapIbruytONNAoGtlTu4ebr7iZWq2Wju908M1vfRP7JbtUCnVV5CqA7obQXvapqNaQDT7aBtDcy1d6gplsVPqAQnbh7+rUOBfuz0URnpf3CFWEyGQzZDNZfHwar2/Cun4HdVsbEELgnssil1G+UYQFjW/bReIDH2D3z9+J9Y4WnLMOjz76KI899RjuWXdNkM/s60huhJEzI2RHs1jXWFjbmjCvsTCjOwjrYVVX9hLZkYUmqL2qgeZYgptb7+S9rbfTUL+LkbM5jv6jOsbatr2mcs2+TpyfoP+lfvxJn+uu2YEVbaShrpGIbiK0GihI3EsgPqEJGq5oJLb1vbz3+nZuttpp2NzI0AtDdDzRQcdTHWTPZNdMrrHzYzg5h6GXh8CH2FtjmGETU5jUaXVoBaUk/EvEaxmagVVtcXPlzbRtbaPJaCJChM7jnTz2+GMlv9S1kit3Tp2sstks5pUmjdFGrg1fi7HBIOyH8TVVTPtSSq5Wq6WxupHdm3eTuCpBY3UjruPy6JFHeerJp+j7jz5CFWsw/yY89DEdf9AnJDXkW3w0ocopilHV3+XUrC0qujCgSdCfBePbGpyAGufi/Rl+afizFW23tk0v5fhp1Vu03tJK2y1tmPUmzqCNnUphD9ik+1PkMmkcV4I3K+W4riOCtPFmg0V0u4VpWZjbY8r59mQX3c90K38td43t1/MnvmHQEm+h9d2tNDU3YRgGTjZNOmOTHrFVPGeQGXa29TUSNjBqI0QiUcxaC8OI4LiSvt4+un/QTU+yZ46/3WstY6I1QeKWBLGdMYSm4jId11Yp4ccyc5NsairCQOgGRtjENEwiIoohVCRMT7KHru4uUs+nLpky38p7CFQyDomODCavQIX+ZEIrp0ZKc7O1DWu7hYNDWqraF4ulTxe+ykNoCIOIiGAIAxOVY84esOnq7qL7ZDfpwfSaVrWbDw7iN8RJ3JKgJd6CUWvguA5pVDhixg3GSpNzFF1Ei8zIpRlEiCj/0+dTdHV30XVyxiK71s2rBXmLh3MLeNuDuheCmZBJGSC/4t8Cq6tg5r7oZ6cPCsRJMLqBAR19CcPUebyzoqL1Z1qn9ZCuztyXuJp1JrF4jMQ7E8RiMaxoEAI2aOOM5PBcR1U58z1EkMpHDxsYdREi0ShGrakcYwdS9CR7SCaT9KX6WOrvr/Y1okcw6g0SzQmsnRaWZWHWmxhCqKwf0pvJBK2BLgRGOIIQwWQcTpPqV5tAT6qHzHAGz/PWjXx6KCgcszNGLBZTpQ8bVDUwNJDSQfpekN5HJU/UgwUkNPUM7GG75Hzbl+rDHrZVrG/x+/MezPvdJqBdSsxA4TmaSiGkawLhS6QmOAI4+mXIJaD1na00NTYRi6mSg0atoXLO+XJOZICOXkoGIDRBJpPBHrTp6+8jlUqROpUil8u99uOl60SjUVriLcS2x2bmY9goJQmYnXlGR1cJDrRgPmbS2LaNPWCT7E1iD9qv/XzUPOQNIGNATCUQ9WanhS/mUSwqOH9mY9MzQmXTsUGkQJzSIb303+9+prtiaQhv3o4arVWDYG23sBpU9a1IWKWHnu36IH2JlJKck1OB5Ok09rCt/JkGUquWcLQcBpVobVTJZymFEIlEgoSYsxJm+qiUWkHgtW3b2IP2HI/19dqEJjDrTSxLlcOMRqPoNaqy25wxlJLcWK4U21xcQBdCrYt51sfyHvdISTwYb6nNvEf4kNLgoBDYoct3kC5Wpos1xjCjSulFalSa+dnJTqWUMObhOQ7JQRu73yY1uE7nZHE+bpvZhOfPx+JYFeWyMxn67D41H4fX4XwU4NWDbPSQ9ag0ZzUL0R0SlT17DIwBgegHBnX0FdC0y0Z4c3bUvEe0JkJkm4nVEMOoFUQMhRRK6Xt8lLJzHGxbBX+nR9LrCvEsCdlGTEStUPUigoUjpZIv7aSRjlIKrze5ZiMJIUSpiJMhjNIR0HEcPNcrKfEVIWd02v0c7T5YsxSKBNIaJDXB4ctEeIv+bk0EYQhMwwSh+LrivHSctEpN5WTI+LyuxisSicyAjEDpSRlUdMvmwJWkXUcVpH6dzL+c4SFqZx1piwrPDY66rsR0Ipf1OytDeEA0DyYepg9dul6q9n0p0/H6xz2zNqC86veKuaU329w5kId232OvL4n6M8ouA9iaoEcDGx0ZAvKo6wrHTYTAzHvk0HFCIN+IDzQfXN+cn8tCeJXLipHLg+Xl2OurI8oBXxLzcqWdZLH3Rz2PhOfR4uUw8qx6hMFle4jnPaJ5SPhKTuFd+nNGXn1uPct1oX4bnhqncn3vhZ5XGo9ODboAJ+BoMqhimXFf0i4l7b5HwssRwyPqBc816B+B0cPLe2qxB/ezr0YeLD9Hm+eR8CUW3utyXJZyjfoe0TewfKt1XTLCE3mI47FfSpWJPNilO4TgoK5fkM+J59VnDKBDE3QEiHC9ojoLjzYf2nx1qDuiCY7q+kXN5IkgPKhP018XiFAEiKvN94gAnRqklsCfXSrzRTTvkfDB1lRmbWf2dwaoLZb32CclCR+SGnQKgeFDzJc0BQrQCVBfOlCOuVm/K2f1ZXa/IkDUhyYfokhSmlByFVHjG6hZeY99vkr92KkpFPtmKyPCU8eRHPcFxHPRcuJolPKtLhqzCqR8SAVkccKXJFYjFrEcyM7zSPgeB6Sk3ZcYRYI9WGIX+pzlebRJyd2+ZK/vYXjrHMF6HrG8x30yV5K13eeS/TY8j7a8h3WB94lA2d3jS+6Vkr1S0pb3aPNytHsebX4OK++RQim5VEBM9/mSDl3noCb4ohAc1SCHIOarE8Q9Uv07EPzbJyV3Szgw7+/3SMl+X+Ih6Qg4wVRIJ8cbB6EUT0ztPrRJSQSQ/pvIrawIz8jDft9jny9nTMSB5agb+KKIXHKHsfJqkOK+xAEOCbEkRLGW7W5vhl8qtuQSrYftnke7rybgE5qgY53uugLYN09OR1PI+9BFUKwRyLjXl9jAESFIznsmRcR4z/x5MqsdFYIjGmRCOtG8hw4Lnq0IkHYEDwMwfZW5P+Irzz2jaEyZ9RkPpUAVsnxj8nYiD7FZp49DmngT3a0Gwkv4OVqLk3iWR7QsIqAl7DBpdHoCrGQAMX99aX6FQOYqu6IhxvO55Oe7NJ2u4Nk0BdzRetzhPjWm6IXZctpAj3bxzwU1sUmj6mi3LIII06jnMD8dpQQymto8UtqM4coOlN2CfIV5DycEfUAypNOhwWENHtbgkICHNMFBIYJ7Ufr7UU2938a7IKf8er0aAae8Pzj6H9IEhzVwQm8itrIjPBFY19oCBGMEk1igyiw8LCJL4q2ieY+9we5kIzgkKIvfVTlaPPATs/y53FByGf5hreucq7wnQKHGPPTVrS1tLMQsJFvkbjtDc2UUKI7u3uBZgjJO2CjXk05t/Yz566LlIYpHi6/KFstgzXWtYx78dY/wcnh0ajqdmiKU00CPJgJkIMgskSNxoFRoTQS+UOtF86dCCpk42sy/olI3lthP24e0JtABC5Zk3V3L6xPB2MkFx1WlnC45D/KeOjYGBgJTygVW9+KC7NBE6Xfs4DfjAVcY93JE814pBPFN5HFha3fRSNjmSxxf0qkpA5N88/msrpV2tg9VOuBw1GReulWyyPHs9yU5FHJaTzxeu6d4SgILIYG1cal8nMhDG8oCKYHDQtC9ztBMUUZzFiKzgaMBIl0KB9juqTFMBzImF5HRyMO9MkdbEEXRFWwEMV/VOEhrgiTqtXToTbQy/9lZeMR8RY8A9GmCZICO33xWq4zwvKKfU/Dwi/Wtu1FOuUvVrA4eToASBTOW3nVh/QpQp47imLo1OKQpk396iQg2h6fcKGDO81pPO1wu4BnTKOt6hyboBLq0JWaKDhRkLpDRhLn+cUXOLwSPBLxdMqAGngh+LwngK4v93T60ecp6+/93fzLyHlZeWbP3S2jxJbmABlDuNW8iu7VDeEDbLP5mJeil6Md3j1SK5VDAAa0XC9g+v2iFFBwRLIpclsIFHgh4vEc0Qae+/hDegVkoXTn+Ls93cLaMHcGCJMh+Mt/fLV5UkqGZ7ChG3sNChZhZAS8sUZEWKQ0VHQFvON+5i809E4+4r4xBAkk6oIxSs6NP3mxrh/CKVjon4G8sn2XvyPgelq9qgKcDzmvdaP4QZJB4AacVgRUhjog/45ybY/0hvNlOu9JXishepp+anGfJVul7vODpzasyFtLpmYVMiggxGdLpQPnjdWngaQrRHJCS/TJHfF6kxRsNaSjXmxlEty9AdJ6m0HZH4N/6RvMjfN0gPFDxs23zeLylorzZERcm0KkJDq8zS1OxfxaKcyr6iy21RfOwN7Bm2wEKXm9VEqJ1AAAFKUlEQVS+hkVrtAh4u64V+HG1BggPlF9dDzoCD2cF/JKYh3AsQC9SAQHKUVEXCvkVUeTrkccS+WJEiEc0AA1NAaKTs3i6oh/hm+01RHjKQOGRDGIhBcrTO573luzZnwiUnR1wRrl1pvlTgbHCC8j1Fl8SzS/dT6rJzxHzFc6xg8W63nY4mxkra8yXRJbpL/j/tXf+rm1dURz/RLmvvhdskIZANGhQoAV7KCRDoR4yeOjgbB37JxaSoZAWMnR0N3swREMHFRqQoMN7g+DeSIdHh3ue9OrI+eG4sWSfB+LyxZKs836c933f8yvXqmYGXClTr4i5oecVGeeEHCV/Qdb9njuNdusxOJTEjwmepZIjieyr5ucXqxrbjWVyixxtHS4i+1JyLDmo9SzlgIQncQq89H7J6CbG6DaD4TVbu2piqkyv0RneSXlY5Byi77VO8lOZ4Zfe9tW2JxpJ/l1Z0Ps0rpwUmpldH3iN54Vn49hdsx3FyE9NLp3Lj5TVR/zWxs53KkqaR+RrYiWNzpedclMjqzKD6n2TplaX/Dg8JTNAWr/jS7PAZf6mdmvpLTKT6ytz9S0b2hrd5JJrx7b/h+G9f6bFmnVSC1UHHohwAOzroBsnQkDwc2EXYXcu/FDDU3UEb4BX3vMKbmy2w4fWqghMReh2HP1aGNSCkJ3fbC5Q/Pf939TCocx4KrJkrz87YbSzt5H2FfcLShH2Oo5QC4Pa4UmUBP6pL//coC74TkqOReipU/+tA9OdglhH7hXXOKtiEXlbBP6uhTedwHkt/PWV40+EWcfj68RAj83XtfBIhCGO/nzGANiVGX2gmAs9hDQXHAVSR3xdIPOIZ/3KJXbstT9XR/z9AllEunVBdx55gDCYzxgIPKpnPBb4dp54Io5hndirhQo4d55fOo5TB+c1THcCZR25t6HXw21bP36mxRo9Yqg5Z0+WIn1zx833up46ugjLzhVnW5Jln8XkzGLRR9QRuX9bW/g/1khjatk42gIbHy4iB1r18pBVFcRkTUSwq/viUHPoxjfIYHOPwkhfNbC+Hoe+5Kgxeg4moNTk5+a8LN2HWVSl52t767G+MwuSsxeav/d0/zSvxCrfcKwdXyrLo7txhueu0jmUInC6gNJ7ptouqq8vWkNPJuQcohPN0A9sRwfWcRF4LpHofO7wItmxl7K6aLpq70QdxktykGMb7JsWgSkRj+dI7etrovVY0vKS9c7zWAM51QbYSREYL/L/P9PmAgj0vMcLDB0MU/7d/ZYDCq1jl1oO6eI6cT637nceJH9PVxLhwmNr41wDq+qhMYDzjEm5tZXWnk9hNeOD7eqsfNvWpYa3atsOFPCpeBgjQ0erTjOfRiNgHALlZ37/TeFuhEMXlxd9o8EguUb0NfCH95wAaYvtO1L7GruWbEbTbCYu65m/EqjC5trTREKTRPpOU2YcdCVxgG81TUgXeFt2csM1E8pWJZHZLVbq1JLzlJLLEKMOIkICKbC15/ttx5810+IurUMCPckJs4m0nNlx4nqUbLd9LCL75Mf3A1m142/cwljz5c7aTGULVx8jXZfzCP0la8/l7jihtZYX3lcJEDQqbdfHVq2rmRZ2JzBcrKogmnF5SWAUbP8Yvh14lYdXcEErMXwXcVUEToCzkNdRsP1j+Pbga9PwDBs2bHgbNLyOeX7Dhg3fCbystLA7gWHDhk3DM2zYsGHT8AwbNmzYNDzDhg0bNg3PsGHDhk3DM2zYsGHT8AwbNmzYNDzDhg0bvoqG9y+doKDdqxgH0QAAAABJRU5ErkJggg=="/></span></div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;"> </div><p class="P29"><span class="T31">每个圈里的数字表示这摞中的小块数。</span></p><p class="P30">如果答错了在填空模式中出现的小块，则这个小块沿红箭头移动。答对了则沿绿箭头移动。移动到了绿圈中的话，就表示这个小块己经完全掌握了。</p><p class="P31">每一摞中的小块的掌握程度加起来就是整个曲谱的掌握程度（记为XP），其最大值就是一共有的小块数。 </p><p class="P32">在XP值的右边的柱状图表示每一摞中的小块数的相对多寡<span class="T32">，颜色与每一摞的颜色对应</span>。</p></td></tr></table><p class="P4"><span class="Strong_20_Emphasis"><span class="T14">你会发现图中有两个表示完全掌握了的绿圈。设计这样两个一样的绿圈是因为：</span></span></p><ul><li><p class="P25" style="margin-left:0cm;"><span class="Bullet_20_Symbols" style="display:block;float:left;min-width:0.635cm;">•</span><span class="Strong_20_Emphasis"><span class="T11">如果你之前己经对这个谱子比较熟悉了，那么也应该很容易能一连答对三次，然后把谱中的小块移到上面的绿圈中，或者</span></span><span class="odfLiEnd"/> </p></li><li><p class="P25" style="margin-left:0cm;"><span class="Bullet_20_Symbols" style="display:block;float:left;min-width:0.635cm;">•</span><span class="Strong_20_Emphasis"><span class="T11">如果你之前对这个谱子不是太熟因而答错了一两次，就需要多做几次练习巩固记忆。在巩固完了之后，也要接连答对三次，才算彻底掌握了。</span></span><span class="odfLiEnd"/> </p></li></ul><p class="P21_borderStart"><span class="Strong_20_Emphasis"><span class="T12">如果想到达上面的绿圈，则要连续答对三次。如果想到达下面的绿圈，则最少要答对五次，且最后三次必须连续答对才行。</span></span></p><p class="P21"><span class="Strong_20_Emphasis"><span class="T12">根据《基础钢琴练习法》，如果能把背谱背下来，就表示在演奏时出错的卡壳的几率就会小。</span></span></p><p class="P21"><span class="Strong_20_Emphasis"><span class="T12">以上的掌握程度图能告诉你对这个谱子的大概掌握程度。如果想详细地深入到每一个小节，就可以打开下一节所描述的覆盖图层。</span></span></p><p class="P21"/><p class="P22"><span class="Strong_20_Emphasis"><span class="T3">关于覆盖图层</span></span></p><p class="P22"><span class="Strong_20_Emphasis"><span class="T13">把曲谱上拉到底部工具条出现后，点击底部工具条的第三个按钮，就可以打开或选择覆盖图层。覆盖图层会在每个小块上画一个进度条，是用来显示对应每个小块的填空模式统计信息的，就是一个介于0和1之间的数值。进度条越满，则相对应的数值就越高。举例如下：</span></span></p><p class="P6_borderEnd"/><table border="0" cellspacing="0" cellpadding="0" class="Table1"><colgroup><col width="937"/></colgroup><tr><td style="text-align:left;width:8.4403in; " class="Table1_A1"><!--Next 'div' was a 'text:p'.--><div class="P6"><!--Next '
span' is a draw:frame.
--><span style="height:0.8992in;width:2.2236in; padding:0; " class="fr1" id="Image2"><img style="height:2.284cm;width:5.6479cm;" alt="" 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"/></span></div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;"> </div><p class="P16_borderEnd">图中所示第一声部的第六小节的回答正确率是大约50％。</p></td></tr></table><p class="P7_borderStart"><span class="Strong_20_Emphasis"><span class="T15">统计指标有</span></span><span class="Strong_20_Emphasis"><span class="T25">绿色</span></span><span class="Strong_20_Emphasis"><span class="T15">、</span></span><span class="Strong_20_Emphasis"><span class="T28">红色</span></span><span class="Strong_20_Emphasis"><span class="T15">或</span></span><span class="Strong_20_Emphasis"><span class="T29">蓝色</span></span><span class="Strong_20_Emphasis"><span class="T15">的（这三种颜色会随所使用的配色方案而变化）。</span></span></p><p class="P7_borderEnd"><span class="Strong_20_Emphasis"><span class="T25">绿色</span></span><span class="Strong_20_Emphasis"><span class="T15">的统计指标是正面的，也就是越高越好，表示掌握程度越高。正面的指标有以下几个：</span></span></p><ul><li><p class="P26" style="margin-left:0cm;"><span class="Bullet_20_Symbols" style="display:block;float:left;min-width:0.635cm;">•</span><span class="Strong_20_Emphasis"><span class="T15">回答正确率</span></span><span class="odfLiEnd"/> </p></li><li><p class="P26" style="margin-left:0cm;"><span class="Bullet_20_Symbols" style="display:block;float:left;min-width:0.635cm;">•</span><span class="Strong_20_Emphasis"><span class="T15">掌握程度</span></span><span class="odfLiEnd"/> </p></li></ul><p class="P7"><span class="Strong_20_Emphasis"><span class="T28">红色</span></span><span class="Strong_20_Emphasis"><span class="T15">的统计指标与绿色相反，是负面的，越低越好。负面的指标有以下几个：</span></span></p><ul><li><p class="P27" style="margin-left:0cm;"><span class="Bullet_20_Symbols" style="display:block;float:left;min-width:0.635cm;">•</span><span class="Strong_20_Emphasis"><span class="T15">反应时间</span></span><span class="odfLiEnd"/> </p></li><li><p class="P27" style="margin-left:0cm;"><span class="Bullet_20_Symbols" style="display:block;float:left;min-width:0.635cm;">•</span><span class="Strong_20_Emphasis"><span class="T15">正确作答反应时间</span></span><span class="odfLiEnd"/> </p></li></ul><p class="P7"><span class="Strong_20_Emphasis"><span class="T29">蓝色</span></span><span class="Strong_20_Emphasis"><span class="T15">的统计指标是中性的，只是个客观存在，并不反应掌握程度。中性指标只有以下一个：</span></span></p><ul><li><p class="P28" style="margin-left:0cm;"><span class="Bullet_20_Symbols" style="display:block;float:left;min-width:0.635cm;">•</span><span class="Strong_20_Emphasis"><span class="T15">出现次数</span></span><span class="odfLiEnd"/> </p></li></ul><p class="P8_borderStart"><span class="Strong_20_Emphasis"><span class="T16">除了这三种有颜色的之外，还有一种统计指标是「在最后五次问答中是否答对」。譬如说：</span></span></p><p class="P23_borderEnd"/><table border="0" cellspacing="0" cellpadding="0" class="Table2"><colgroup><col width="937"/></colgroup><tr><td style="text-align:left;width:8.4403in; " class="Table2_A1"><!--Next 'div' was a 'text:p'.--><div class="P23"><!--Next '
span' is a draw:frame.
--><span style="height:0.45in;width:1.7484in; padding:0; " class="fr1" id="Image3"><img style="height:1.143cm;width:4.4409cm;" alt="" src="data:image/*;base64,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"/></span></div><div style="clear:both; line-height:0; width:0; height:0; margin:0; padding:0;"> </div><p class="P24_borderEnd">第11小节和第12小节在问答中出现过两次。在这两次中，第11小节最后一次答错了，倒数第二次答对了；第12小节两次都答对了。</p></td></tr></table><p class="P9_borderStart"/><p class="P9"><span class="Strong_20_Emphasis"><span class="T4">配色方案的妙用</span></span></p><p class="P9"><span class="Strong_20_Emphasis"><span class="T17">配色方案会在文件列表中反映出来，可以当作彩色书签用。譬如可以将觉得难的谱子用某一种颜色标记，就可一目了然。</span></span></p><p class="P9"/><p class="P10"><span class="Strong_20_Emphasis"><span class="T5">为什么要做这个应用程序</span></span></p><p class="P10"><span class="Strong_20_Emphasis"><span class="T18">我在自学练琴的时侯看到了《基础钢琴练习法》这本书，发现书中将练琴的各阶段障碍梳理得清楚，比如要能从曲子中途指哪弹哪、分小节慢慢打磨困难的部分等。逐个击破后则就会渐渐有能力自己录视频与人交流或在朋友面前露一手，很有成就感。而背谱就是其中很关键的一步。</span></span></p><p class="P12"><span class="Strong_20_Emphasis"><span class="T20">这个应用程序是为了让背谱的过程更有意思，让进步的过程更明晰而存在的。</span></span></p><p class="P12"/><p class="P13"><span class="Strong_20_Emphasis"><span class="T6">为什么背谱很重要</span></span></p><p class="P13"><span class="Strong_20_Emphasis"><span class="T24">「如果一个人己经能对着在众人或对着摄影机演奏一个曲子，那无论他是有意去背谱也好，还是无意也好，一定是己经记住了这首曲子的。因为只有记住了之后，才能有余力顾及演奏这曲子的技术要求并演奏出来」</span></span><span class="Strong_20_Emphasis"><span class="T21">。（《基础钢琴练习法》第104页）</span></span></p><p class="P13"><span class="Strong_20_Emphasis"><span class="T21">背谱是音乐工作流程中的重要一步，当尝试背谱之后，很多其它步骤会变简单。在《基础钢琴练习法》中提到了其它几个使你一步一步达到自如演奏的步骤：</span></span></p><p class="P13"><span class="Strong_20_Emphasis"><span class="T21"/></span></p><p class="P13"><span class="Strong_20_Emphasis"><span class="T21">图像记忆／声音记忆／肌肉记忆-->断点续弹-->脑中演奏-->在琴上无错自如弹奏</span></span></p><p class="P14"><span class="Strong_20_Emphasis"><span class="T22">具体来说，这个应用程序中的「填空模式」是一种图像记忆方法，挖掉空格的方法则和断点续弹类似。</span></span></p><p class="P14"/><p class="P15"><span class="Strong_20_Emphasis"><span class="T7">这个应用程序是给谁用的</span></span></p><p class="P15"><span class="Strong_20_Emphasis"><span class="T23">我是想和自学钢琴过程中经历过困难挫折和喜悦的人分享这个应用程序的。如果从程序的技术面的限制（排版能力之类）来说，MidiSheetMusic的能力所限就是这个应用程序的能力所限，至少我个人目前能看到的巴赫二部是这个程序足够胜任的。又由于巴赫二部在《基础钢琴练习法》作为例子出现过，所以这个应用程序应该能伴随阅读这本书的过程，对初学者来说该是好长一段时间了吧。</span></span></p><p class="P11_borderEnd"><span class="Strong_20_Emphasis"><span class="T19"/></span></p></body></html>