NYOJ题目1045看美女

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FZapeSI1u8psLRfublzp6e2g6Vtkpm5yqfOpNvRcTnalhEoamrplNAc5nc9mxuVbDNVQpNKu/92V2wr2Q4vbyDGtrTLL5np0svzDvqhMH1jZRslmxP8kVyJ+aOr8JOTy690GEKXSheeHbdI++umvbCKtA32mqOkC1eU6Hrn3m5hRfJP3MVlicWKikvLld/8MAubOfIW/G1WDcdz/spVaeM2cLxs96owqrT5em6btXikvuxvC8K7zb0n14iaz3cX8GjYPpncInlLbNEsg3BTR1pVXzvl+ed1bBNgksfvch18vJxHX8927AqssVrCp4Fprt/ODFXfvQieCQXzinBs1iu2dM6q0omt8Ns5dO3gsdYocLaLTPdSrntkGt/smS8fKS2aYXljTN8K9If2lqVbFKhw+zfmjamvH8L7S9sh167YJ3fC4VmtHWYSP+ctqfvXi7sndx2qPqzoUDVu8NiyX0xO3u8/uSL5OzxTXSeLi1bvKa2A2k6MVe+fL4IvogvdzR99lyWnDcuflSMNkiyGfGzT2RB5cK5YpFtEtn+bWb3V7zZSxqW7LTTpU+LTRuT6/zTlSrPm6ukeR3LNQcLRHp1pOaq9nRc63Ijy/ui3Kpk+dnOPJq9XCDX/ZKNiUs2o6p87Z+FpeRWP0i2eE2F7lj4czqx3G8K0yMv4sudraHcX4OHUK62QuWRliSn1LYnWL7Q8tlDOlI4t/TurZrtaWcwWp1V6lyZbNJ0BXOrk1xop+aPK4x348IsyUriba6tuU1u+0/3xbTTFg6x5FtVK5KbJVI+Mlew5sIBOLt/g0f3SXe0bPGaZk/ZhWKRnjc7PfIivtzyWsyWD9YzPXcUxFtSuy7JArnNWNihDWe92cK5+uPLjfSHeM3LBbf/OrXBI6PLcPbl/W3J2sX3/qjNsy0pl09WXnuYVMlVHllo4YBKlm9rVaTXFXpOZBG5OnOds1BDueXl/XuKHS1bvKbc/oscKoWelOsxhQ40PUJmF1po/+zi4uKzzJ6Uc6fUyBmtvLULB3/y1BM/R8y+VdU3ZvtM5H8jNSSbtHDvB4eTaTOq9m+kkeU13Zdp67qRg7Q8Pde22l5X1Tkb9m98deLzRmaJn7XKKzsqGekVwaYWmlFYSnIFI0dlct81HK0jssVrKuzy4eva8WP2ZFSoYbYvRtqfe3fh6NJcMtKS4NhTXtby9FAQ3CnrYt/IzZU7MUW632wL91Xl3s3VUx7+yx14dN7MbaXpu8vHnnXN+s52rUhnmyqXDzajqjG1vXrU1HLzRouIHI+5+suLmJ2Sa9VodyysP3kYlndxcJcla2hY8VmyxaspnAVG7xZ6UqH89NCa7U+5ibm3ykf48v5aVX5Jy6dT2tZleHjnDvVyU3PKsxRaW/t6NDG5FrPlI40sGHba4LvlWZLTR0dHcyXpdeiXIGcbU9U5Z98tvC40pvzWqNj0hFbYlbPlp7PPlg9OmZ1e3lDBTddwisg1Pr4LGqbUki3ektnxoK2q5umzB/yshhY2lC8fOdPDsvxueXGRfRTZMsPtE9kUydPr9PSXm56rLdKG5FIKzYuvyLTN08pHOyi36Nk+kFxueaUKb8XXN1dhbn2ni5juyuQsw/LxzjaaPtuYiNwikktcp/ZU2yoUmlFuf7IBo3dna4i0vNye3IJqt0+weYXViZAt3pJeO77cyZILjTQpeEgvbGHDLLO1xc8s5WLBc0SVeA2rzLm4/Hp255bfzRXocnoKyq1jeWKwQHBFzrm++yWOXiT/nC1fnqu2TK1cY3ptz9nTQpf9e7oTct8FxauVLQCAyyJbAAA9yRYAQE+yBQDQk2wBAPQkWwAAPckWAEBPsgUA0FOfbLF/CEnH2qZ/Vj3CaPbBPrNTInMBACM9s8W60+gbzxarlIalxFNLsPIqDS0//0MAASCoc7Y4RW1VwaVcJplF4unk1I+8rV1B8QKAC1SdLRYOz8FFjBY0XXS8PZFlVTUMAChoyRbBiQ0159JDcCkNzYjPIlgAQMQFZYtcbblsEbyC0nydo61+APjg+meL5QNtMFtEGla7rIZWAQBDS++32E8cFkiWjP+7fz9lupTcRYLmkT4447SYbAEASYuuW5SzRZtk1CjXXBVZGrJOctGyBQAk9ckW+9dLRtzh5YrkEgtXLJovZrSVESwAIOeCskWy2nUxW0w/LilffphdVq5MrkkAwEi3bLGeu8BQu4hpRBhNKbQkN7HtA5HhvMvXDgDet8ZskRzd+2aL6Z+FatuuWzRkheDlkIXOsxQAOIW6bJG7VDAa/l8lWwQnJt+NNHh6BWV2lmayBQBvV3u2yE1cMi4mo0n36xbJt2rLl9sDAB9WRbaIj69LBt3kqD9bbTz0zF7MqLo+IV4AwEif30EFANiQLQCAnmQLAKAn2QIA6Em2AAB6ki0AgJ5kCwCgJ9kCAOhJtngbah/SFXyK+cIFdXnEe27RkWemvXWFJ8VVzTVb8tSPqD/RjA29MT577mG+fVtVO2PVzr3A9jdXWLVxznlO6L492xpftYtHC3qVJ0DKFm/Dibpv29g2Ldyld54uWxTOwpHDtfkkHmxb8nVwlo6Vn26sytUWrDnYqsiUyLvL1zdXJr6hZusv1PaK7a9V2/mD5Qs9ebZj9+pFS2ZpOAZnF1TeXLUtjJAt3oD9GbZ2loZip1hKW237P7uf0crVFo7qXi1pPvHVNmPa+EL9hQ0SXES8GcF5c10i2IzZltdu+Ui1hWKRLhepeTrX67a/We3BVdWfI5VEWtLlSFw4V/cFFXpOr70sW7ya0fGQO0JqD79IycLJKHL6az6pRdo8ra1X/cnFVRXo24DmmoOFhxswUklh14/+jCu3pLwiVS3MLbfQeU63vtO1ni0cWfTlt7/KsIba9syudXC5uYmjtk0LxzdmdNMfr2/Hksm54ivbTLZ4TdNeMi0wOyVX85ImJXtwx6VULbFjd59WHi9zimY0VN5QMrjvIqeetsbkWlKevbmFq9Q/v5K1VZ2CI20uqz2gZk8Ol9b+vrXltka8Pzefyma3/LSGYJmG7da8qRcengvJFq+p3OmX9M7msapqoX37YtWppO+yqtrTqwFl8ZKFuQotj58xCyte1XmqztGj1alqYXJxvXbfknqSB3thVybLL9S9/c1VVfXPhf15tuXxTl4uPFtmdt624z2+rI71l8kWr2l0BikcAOU/y9XmClTVPHtALj/35VrS66w6rHl2E617r91sk9pKFvbXknNx2/TZkvFuPGp/+aw3/bPQtoXn1tk9VZh9tkcV1qtL+2cbv7D9cfv6y7tyWj5XJt7a2t06W3NyixVWJLegJeWTzYjvr4V7M0m2eE2jo2v/Z+SkkCyWrDZXIFlz+diO9N3AGS998hqebkZLKaxsreQ2L5QsrFSX9sw2o1wsOWNkHYNVFWZvqCHe2cqFy/WU++fsWwVVOz3YyOGUtlW+kPbX1hzsltPyDf15dnPVdv6+S8lp27OR/r+kVUGyxWsadYIuu7+2P42G89zYuaTvBpsdGSEWqmp5ebnNrUpu6pzZhRamNJyLq5pR6DmjuQqdJ9L+QiW5lkdqG5Uvr3LtJiq3P7fike3W3P5C47u0Pyi5R1b5XjEtH2ltrpL47MHCtUup2v5tO6u8hSOLmJZsIFu8psIRlSsZrzNSYeFwLZxKpq+XdMd9b84tsVdfL2yZqtNN31bFa5vdR7l3G87FhenxPpOc3tzn47tv9jybLBM5ERf+LJcPHl+Fo3Jh+8tbOz5clWepUt5NhSU29OfanRsvHF9KVf8p7K+GJhWCRbD+BrLFa+qeLWpP95eQLWaXWFiFtsiVrDM5ZW+2woWC2aLh9JQr1ndsKNf5itmiUGa0fyP9bXYpwQbnaqvKFvH2165aQ/sblFezdi3Kx295XWYbU1hW5HVySqTnrzKSsxRWNteY4JZsI1u8plEniJ9n48XKMxb6a+FIyL21sFPuu/uoSeUTRGShkc0yXVxVnZFZRoVnFeZNrkJhjWbbn5tY1SfjbS50p+T0Qm+c/XO2zKhVy7dMstrCInJ7KrgFyu2v3dQN7V9X9v/Z+pOtqu3PwWqHE5NLnK05eczO9smGbl+eMWe63YYv4meeWrLFa5r20UjJ2jLTXj57JCTnWqcOtmE9Cztl26kkfoqfnRh8N1lmyTFZGNIKs8RXPL4FqrZV7emy6lxfLlP1Z6HM9FhYvlmmi4i0JPdW7oxf1f7ZNhdWMLiXG/p/sv7ITm/bHeWSuS1cbknD66oGrzIiswz/HC6xS8MiZItXM+0ohZ0aPJEF342cL6qOmdxpqErVqWTdYzhfInjOraonfrqZvi7UHDyD1Ha/eA0N3W9d3DLTP2dPvqONNj3nrjPdOLhSyXdru0Rh0c3tj7Q5t0eq2r9wZWcrqe3PS5YbPx/OLqWt/xTKJNuW7PmzHWPhliyTLd6GqujQVkPhBB08Gps7Zfmc3quvJytvmzE+rJaryp0m4uULi85twKoRtFAg2WeSXShyXi4Mb1X1JxdXXtlpmbaVza3vbPnZjVMuFmn/bGNy9QfbH2x51VrkytfOWFuysPXKBQpLKW/GQn+IFEs2KdmA5vobyBZvQ+SQ61tJ+UCKT2xuW/BI7rW488y7HhzP8TKR8oWJkfNOpNmRhZbnrVqLXvt9tp7CabdLA+Lalhhvf67+869pcqHB7tGlKzYUiJ+RTtp12/pzcsbup/Eh2QIA6Em2AAB6ki0AgJ5kCwCgJ9kCAOhJtgAAepItAICeZAsAoKdF2aL2IRtLngzT8ZFhJ31QzImeRnLSTf1G9+PyJp2u2ran61xmP2l+VNF5+hW8dSd61lbtA/f6HoDt2aKhHcEHip10EIo0I9KqwrPPpmWWr9TpTtNvdD+Wj6LgrpltW273Teeqbc8b6ifJxndvyZK59vMGt9vpuuUlt2ctveW97pbptfTZ0870rWGZ3Os2jdnibCeOU+zyJeff8tYv77DmddkPPLWz9Cq2fK5T78fIQZVrQ+0RGJkSjBqX30+qtuT+3ZxgsfKMzevSZZaTVn5p7flQTrd9Zjtzr0WPzgDBM960fJf21GWLqhNB27kjXrLZtJLyIlapAWBaT/LPcpn9ooOtja/+bJ3xnRIsPFqReMklVqmDIVf5kunJHdfWnuSf5TLri+knyenBOhfu9KotEJxrdrN3b0953l7HxalrrjqET7dStS3Zz9Lw1hKzx2aX5U5PPvtzS+TMPHxreWPWDdmiuUxDi09xPOTOlYWF5nZG4VwWn6W8L5Plgyvb/G65zKvvx2TNyV0ZbEZkenBHxNvzFvvJqiYGBY+XwiwLWzusOT5LVV9tPsraVnCJvjWXt+qo2OlWKt6SYHtO1NTV5ExSe4BULWX4InnM5ubtu/oXlC0Kp6SO+2C6m3MTy7NE1mhapsuZa8leWF7DhezH2laVG5YrnFtEZCPEGp4uf5n9ZBXOFrXLClayvFcvX8r527Pciap9E0uf6r7Xqpa4sMsVFjEazqZTqtq5vFXt2SJ3du617c5wmCU3ffk0VzXATMs0n7aq6kmOAbnZq/bj7KKXlw/WOSveklzhwjafvtXQnkIbLrCfrDP/RkxOKW+EYCWz7al6t2qWVf4AKa/Iidqz0Imq3Vde7u0nXXqD7nutaokNHTu4iGG3HB3ayQN5tj8vbNWibDH7ujwxuKC+kk0tt3/2XBksnDzqchMLzS4UGxYubMN3sB8bllveXNMphSNt+XZ4c/1k+Gd5UzQsbnYLjGqoWvf4Cgbfam7PbKtOdLz0rXZ2q5506UtaEmnPKVob7NhL6h8tZVRt7kCe/jnb1LhzZIvkiaO8oeOFm9u/zmz6ZPtnX88uIt6q5jLTkrm52vbjul/MCq5Ls8iuyU1P9orhlIb2lztVsM5X6Se5HTe7lXK1BZsXqSG4DQsLLbdntrVt7Sm8e6JD4xTVtvW0U0j2wEjXDdbWt4XJA2fJQqcVFl5E/uzl5NmifDquOn132QSzu3b56aaqfMcy05KRzR7fDo9ryLYAACAASURBVA2nznOeQGcXkTzjFAa8qs5Z2543109ys4wmlk3rj4i0J74Wy99a2J7Cuyc6NE5RbVtPO4Xa+hv2y0K5Ppw8iJYvpfBi/2fyEIucE+JOmy1mt13uaAyem4aFa9ci0ua4UWOChZMbodDmhmLJGWv3Y3JKoUlt+7FK7UYuNLhqeqFw7U5vmCW56NoyyWKRla3aINMyy9eo3J7a/RucpbBr2tpTeDe4+2qdotrhRih33ROtVHP9DftloVwfznWkhUsZvZjdI7kZFzrhvZyFk0KuwnL58sSqzVHY1uWm5s6SuVki59PXHTNm92NVzdPKI41cZ7ZVs6oTd9X0tkbOns4uv58EyxQKFBZaGJ/ifbJ2/+beiu/itvZ0WXSt7jU3b6Xuauuv7Q/LNZwSG86H00Mm1yEL0zueh1/5Xs7C9MLpJllDbV9va398cdOl5GbsNWbEN3Ltfmw+D1btx44Hdq9OmJzS0M7Z09nl95PcjOVVK/eiwtGUfKvcntr9W15uRFt7Cu92PAROXXPt+XY0peokUD451K5ax6riSwyOYqNZapeSq21aINmkvqt/pudbLD+tlwu3dfTcti5UPno9eySMXiQrL/S55HIbClSd9UZlGk7Z5TJLKgw6RSfMdYMl7bn8fjK76OnEXOHClMhbo2qnSym0JNj4qt3a0J7ZZXU8BE5defDwT27/wu5omB45LiLlT7fxZ3tFl85QOJrKBWant+mZLVaZf4GtUyepcoeoKtzc/uQ2HU6M9L99sWQjZ3tVW8ur3q1tSXI/FvZg+XAN7seqjVPVkmDLpw1bFbdY7SKmhePLqtoyze/OtmT61ux65QqPKixssfjWyO3HJSWXKK9Lrv+crj3rZV1r3a+XXqDXWp3ZQ6O2qv3ryDE1WnrheG/Q+bpFrkCX6R0PjLNV0qvLFuqpOvkGZzlps89wGHfc14UzfsOWby6wfEEdW1tbYa5wMATEl3LhzpYhTuStt/8yneHYL5Sc5olee7n9N9YBAKZkCwCgJ9kCAOhJtgAAepItAICeZAsAoCfZAgDoSbYAAHrqkC0WPm0j+FCdSM0neqLLSR8Uc6KnS530GV/neYBYx6e49GrS6apte7jWZfaTtoP3RI2B0znRY6/K1TYfX/vC53kGWvVzOaeqCk9nydVQeHZYYYmx9ajTcMqLrHiucG7iqdt8opojs1T1qzblXhfcNbNty+2+6Vy17XlD/STZ+O4tWTLXft7gdjtdt7zk9qzfY3rru0a9aps9/KdvDcsUXjecIpJzNXS2pdctgsuLbKx1ca0ia3iiI6G22sheH01JFmtendVu4KmdpVex5XOdYlcW9kVycbk21B75kSnl9ryhflK1JffvRo704MmhfIqoWpcus5y08ktrz5sQX6/ZTtVrE42OxOCZZ1q+7fAMlqld2eps0XBUlyeWW1y1Pic6GKbVlld5OCX3Ovdnucx+0cHWVh1F5XcjqgqPViRecolVqtflKl8yPbnj2tqT/LNcZn0x/SQ5PVjnwp1etQWCc81u9u7tKc/b67iorTl+SDYcvH33e7LXxRtfnqXL9p+eBPbHeHJFpkdT7sgqzFWepdzOoEXXLSILy+2e6QZtXkRtyXiFuT1R7nO1O7Jq3+fqKTQmuLLN75bLNOyX7rtyWnOk+9Wu0WyvWNKet9hPVjUxKHi8FGZZ2NphzfFZqvpq81HWtoJLzDY13mHix9Hsfg8aVdKlt+87c1VHrVrK8EXy2MnN2+XgTRYrb8ayimxROAXktnVhp+bKBGtua0+D5MYtb/El+2a6NdqaWltJucySGmbnPc9+rG1VuWG5wrlFRDZCrOHp8pfZT1bhbFG7rGAly3v18qWcvz3Lnaja4FKWL310MDbvtS6VzC5iNKxMp1S1c1RPw3k1t9a1K9t+3SJyuiysSXDzNR+3vQ6P5MYtb/El+6Z5LcozRjZy8FSe65S9jr1eO25UZ9XRVW5JrnDwEG1uT6ENF9hP1pl/syanlDdCsJLZ9lS9WzXLKn+AlFfkRO1ZqKraht5bXsrylRp11Ia+MS3TXMnsIobtLLc82K8WNjW31rUr25gtahczbWLf4y14rmmQ3LjlLT57rgwWns5SmFhodqHYsHBhi0V6W5djr9deq1XV+NzWLhzhy7fDm+snwz/Lm6JhcbNbYFRD1brHVzD4VnN7Zlt1ouOlXO3sVgqWrJ0eN+o5zZsu2MGWt3O0iFzLC3+Wm1rVztzRWruyLdkieWDXHpPJ7RgXrz/Z+Pialts8u+jZfVPuPZFWNZeZlixstKrX+ylVXaWhX/US2TW56cleMZzS0P7Z/nyx/SS342a3Uq62YPMiNQS3YWGh5fbMtratPYV3T3RonK7nrAO5cPlKjTpb86ab7cBLmjqtsPAi8mdhQVXn1dwK1q5sy/dEcoupOiYL55pgnZHKk4WrttFsl1p+uqkq37HMtOSS3pZckfjpe+FZYKHccpuPyeGUhvbPdunL7ye5WUYTy6b1R0TaE1+L5W8tbE/h3RMdGqfrOUumx406W/Omy/WlZGduNq0tV3+uq8/2+aotkNt6tStb/eys/Yvmc0FyBWaXWC5TdZTWmu6eXD+LGzU+WDi+dsEtEKx8dt1zr3PNyO2v4BZoULuR440vTy8Urt3pDbMkF11bJlkssrJVG2RaZvkaldtTu3+DsxR2TVt7Cu8Gd1+tqu082xVrt/PylRpt8IX9sPC6y/af1rZvdrDDzHaw4Bkj14xk5bPqvieSfF2emHsr2eLcJghukUJPmharUtjH5T0UaVK5bZEpuaU3FJvds7l9kduhs8tt61dt+zGnqj9XTW9rZEMfvrR+EixTKFA+aeROC4XuFGleuYULd3Fbe7osulZ8NzVX1bD9G5YYPFgi9ZQLFBYXXEqu50emT5fbdl6dXWhc+72chcM7Wb75rap1m921zfs+t6vKuy2+h3Ire7oxI35sR9a9qvsWpgf7VcN+LOjV+OSUhnY2HBSX1k9yM5ZXrdyjCkdT8q1ye2r3b3m5EW3tKbzb8RCorTm+6C7HUdVJYNQHmvda5CwUbFJ5KeVWDQskmxTZWcHzarxVs3p+T2T2rJFcpUgPC54BR/ugUHK2tnIzyquTa3nkCBm9SFZe1TPaCgT30WyZyM7tXkmDUzS+tgNH2nP5/WR20dOJucKFKZG3RtVOl1JoSbDxVbu1oT2zy+p4CNRWHjwnBPthuXxhd0S6U/Nem907XXZKoVeXC8xOb27n7GGSm3HohNctggdqrnNEJpbfWr7jI/tydLKYXdy+WG6jtTV1drnxd2tbktuP63w/Ke/KSOHa/TirqnCyYaviFqtdxLRwfFlVW6b53dmWTN+aXa9c4VGFhS0W3xq5/bik5BLldcn1n9O1Zx3YoW9Or2bPdtG2JpXPBqMXuT6fbFWh2mnJ2doi63Xa6xaRg3b4evZomW7r2fLlBpxo3uZK+nb9hYvI9d14nV2mn+Es1nFfF/pkw5ZvLrB8QR1bW1thrnBks7zRMS/pbBki6NLa87rOcAwWSk4TQGHvRI6m8olrNpRMLf0dVACAIdkCAOhJtgAAepItAICeZAsAoCfZAgDoSbYAAHqSLQCAnro9OyvyPI1LeOLKidpwimdkNT8Q7bUe2BVZRPlhTTnBymsbc6LyJ1pEc3/YF17y7KPgw6zeynkAOKn26xaFZ4RFZumlMCAFz4a9mtG9/DlP3Kc+3Ud6S+30eIEzlz/FIpLhrPA6ns+Ch09k77zieQC4KHXZojyQR85iixtc19r4xEj7ywuqmrFtvCzPFR8k4uJr1LA6be2PzBWsNrKgts1Su+lm1zH55/TFwvYUiq3mskt8K9VuHODNWXq/RdVp4sznlOnicqe/0XlzWHg6b2Ep8RWcHUty7Sycu3N1nv9U3jb2NLQ/Xkm8wJL6pz0quLjyOua2Xm5LFuYqzxJZo9r2LywMvEXnyxavMsLlpozeWmXywegsHBlplo8lueYV2jxsbXAgKcwSaX+tSLW1A+H0reBSgg1uqD/ZwTq2alS+S2eblkm+7pUtBAv4CKqzRWEAGJ2LZ0uWB494e4JvFU73hRNrcK5gk4JlkguaXXpDe+KV1Cq3tuMAExz89mVqu1+8/oauEi8QmWvfT2qPu0I3yJUJ1tzWHuCte7XrFr3OI4V64m+tMqPC6nhQzxWb/TO59KrmFc7+o2JtQ0iw5VXKWzXS7ODYs39rtvHJApG5IvUX1rE8b6Q/RHbokrXLbe1C56laSq5kx/4GXI4zZYvTjWENQ9F06blRIXl6TdacnFIYC5OzzDavbfQqLK5qozUYtry81uVVK9QfHPzW+T1S3hFtg2uhF+Xmbe6uhX1XuzdnO3+whfFisgW8SxXZojyK157jep1TasehZFNzA9voxBo/+wcbXBhoc9uzcK4v1xZs3ikkt3OyzGin5HpUcrNEemChDyypv7wvyhs/2B/Ki8vNFVzfQs2rSX8rVBvcCw3rArwt57hucdITSltVhZN18vXq7NlidpbyyDd7im8YGNqMNl1kladbu9yY2Q5WXvrsmjZ04Nn1TVZV2DjJXVOYt9Bjq7pxcEVe/TwAXJQzZYvCYBkpv7AByVly5+Xk68KZuqoZwdNrZHPFz+Zt5/Qu5/3IKLifOBo7I6NasqsUtl7DWLtkROyVWmajUqFA0rT+2fjSJVuc7jwAXJTzPTtrOmbkio1ezDaptsC0GcHX5UGorbVVY0nVEgtbsjz25NpQe6LPbclyk6Ytz61+sqmR4SrSY9vqz61RvExVf0i2f7a1Vd04txEicoso7NbycoG3YtF1i8g5YjpL33PKbLHImTd3TpyeT5ubUSgzO8A0jBDlAaawkXNvze64cuHkgqaNnO6Fqm5Q2xnii6jt6t37Q7KLRtY3PuqXK5x963XPA8BFOd/viYzOifGhMd6MSIFks3MTZwfp5mbMNnJ2MCiMQJGSS95qMLu7k0NmfNAK9pnglmyuv6rC+Lu5P8vFcksJ7ovZyqfTX/E8AFyUlmyRG8AKZ5/mc3q8PQW5JXY8c1UNFbNlCu2cDre5SJEsPKqwsLl6batcGwqVJ9cxN2PVCDS7oOX11+7rSJnRTonvo9kjYlom15Jc5ZGJ5bc6HobAhWj5Dmq8TKR8vAELnXRZ5fFpeSVtFeYKz9ZQNaC2taF26dN+1dDCZLW5BtRGiu67L5khqpJBcO9H+sN0ieXyF3seAM5g6fdEAACGZAsAoCfZAgDoSbYAAHqSLQCAnmQLAKAn2QIA6Em2AAB6ki0AgJ5kCwCgJ9kCAOhJtgAAepItAICeZAsAoCfZAgDoSbYAAHqSLQCAnmQLAKAn2QIA6Em2AAB6ki0AgJ5kCwCgJ9kCAOhJtgAAeqrMFk+fb6+v7r/+Gk3++eXq9vrq9vrzz+ycv36sEjMCAO9MXbb48/XT7fXVt6fjqb8f7q832WLy1tavH6tyAQDgnajIFruLE7v/Vg9/1uv1+vu366vb608/njYJI3fpYhcvtnMBAO9T1XWL79+G4eD3rz+7xLD5sGNzVSMbL3aXN3wyAgDvWEO2+HR/fXX75fvPr5/ur4+vZBz++/Tjd2L+mfABALx9Ndni98P99dX9l8+bbLH+/XCfTgnfv20KTD19dtcFALxvNdni6fPt9dW3rw/bbLG902L335eHH6ur+6/ff6yyVyYOd2y46wIA3qnaezl392zus8XhxWy2OMoiLl0AwLvU/j2R+68PVdlie7PFl+/7Fx1XAwC4EPXP5fzd9pnItvC3p/Xha6up+z0BgDdtcbaIXbfYXvPYX6vY3NTprgsAeHfOki22Xw8ZXqg4ejAGAPBuLL7fYv4zkeGnIQPbR2n5ZAQA3pWO1y02n3f8Os4Wu3syUnduepQWALw/J80WpWCxEfgBVQDgLVmeLT5/2/1KyO46xPYuivH9m2m73zDzlVQAeBfqswUAQJ5sAQD0JFsAAD3JFgBAT7IFANCTbAEA9CRbAAA9yRYAQE+yBQDQk2wBAPQkWwAAPckWAEBPDdni+W518/iyXq/XL48321cJqTef71ar1d1zrvwqX9siL4836cXu2/h8t3l//P+Ll9uwRi+PNz0WDgCvoz5bHKJFceycjpCbKaWR8/kumzwWeHm8Wd3cZNLFNkU8363ung+B4uXx5qjw890q6Xjtc6WO3T2XaxvGmlRJsQOAy1abLV4eb2ZGzvVkSLx7Po4hhUjS/9/s+7ySCC7Jlbl7nkwftPb5bpwoCmavW0xr26WazVWcx7vjt13SAODy1WWL0ecWhbHz6EOFyT+/b+7uMnOWPjWpdzx25z512TTvqLnZKzPlbDF/5aJc2/56ybYJz7IFAG9OVbZIDHWZcXbwGUPu1oVxZfuJN33uu3h5vBl8zLBtw+TOi+e71WpzgWA38r883t3sV2vS+JNetxhcLzk0PHllCAAu1qLviWTHzuNUMRgh9wNjctbthYXUv87nPos5vjCwTQy7+o8/DjlcGjlM3zR1u5C75+e7/dg+amUhW8RutzgKB8naBnnGdQsA3p6KbBEc3rfhYPD342Gk3ieO3LdIjj4SaDO9sWI6ZfjxSGLA3rYu0Yz4dYvnu8GqF5o6+ZTk+O4O2QKAN6bxusXg39YzH4ysx9ctctnieNxclC4SDUkOyYkrDYdv16Y/nAlmi/3KHNZqfFdHqrajULbZVqXLHgBwgdqyRexbH9uR8e4ucN1iMmb3fNxF/rutR4HmKM9kQkQgW2wCwnFNmUwwV5vrFgC8PS3Z4njYP04J208Cjv6RPXvdIvNsq26Pu8hW9PL8PPwAZ/rNlslcM2lg+/Y4OQ3uK52vbdegm8cX2QKAt6ft+RbD8W2SLYbXAbbZYvpUqMNcc8/q7HD1ohhSDldXtlcbDjeCJhY/cy/n4dlbm2Qw+JhlnxkK93KO7kF13QKAN6giW4wHvqPpqfsBhtlicylj8x3Pm0PBwEcMHZ54UbzfYuYCQ8tnM/vvmzS2d1BH0okejQ4APfitMgCgJ9kCAOhJtgAAepItAICeZAsAoCfZAgDoSbYAAHqSLQCAnmQLAKCn+myR+fGPdMHZcvtnfw9+NPXo/7OlT/HEysRDOLv8IOtuUySb7SHeALwrbb8nUrIbiUe/LJIfUgc/j3qY5+XxJjHmTpJI+t1G03W7e560vCEJVP/m2uTn2Ft+R6RLJcXqs7+yNl5MbvqSeSN1AvAqqrJFxU+H7bLB5krAY+43t5JRZfMzqaPA8jycsvlhsUKwabC9ZnE0Zr483tw9L/q19/BVnqHRj5wtyRYLKylUnPoVt131kdfjKmvmjdQJwGup/K2yxLCfGtn3Vx22I/Xc73mO/409KD/+MfaG6xahSHR0yWT/E62pizAV9rPVXVJ5vlut7h4H26g1W8QrqR2hJ4HreBcflpWbPlp41byROgF4NfX3WxxO7Mcn9cHwOYgf+dsjhv/uXO1+KHX7S6l3NzfJUT2ZLWbHlvDlltxdHOMm19oM3PlQNm7bdqDPbemahc5Wslvnyisz42wxzia7v3PTEy0NzxupE4DXU50thpcUXoafIEw+gB+M/9nrFodhYVN6/+vku0sG03+iDpNIYJxud3ytofwxTqEluY9UCpdCdlvlaJmN2SJXSeF+hXTEOl4H2QKAnMrPRMJj6nEmmPlMJDF0bgf2w4zH/76uum7RbQ3rlzK56eHorblssd9wS7JFqpLnu6a1GZAtAMipvW4xTAmT/HA03A9H5OxnIok3hv/cv7mZZJKbx5ft/6euXSwaYkYJaOnXTgbXYpqzxTYQLMsW6Up2m75tk8kWAORUZovhOPny8jIcYUq3OxauWxyNeEflnu8m/+DfLf55+4XV7IcwLSIfdrTUvyhbbLbJ3d2ibFGqJHG/RctnIu7lBGCnMlsEPheZXLwYf7FzPRwOXp6fXwaD+tFXRaaj+dEnJeFsUfHV2cEcN3d3N8mLJrUWZovDPSj790Ipp1TJXOl507tIhjVEXueWvuQ1AJeg3zO/n8fPygrfb7EdLjcPrdhmh+3so1jw8nizedLF7tJ46LpCTbbYjMGHD15ejpbTNIYtzRbD2yMGD/gMfKk2U8lCo+0+WUZiMZFAVDvvss90ADidpdliMNCkB7vSJw3beyYmsWM65fDsrLvHwfdQO34mMr3rcvn9Fql6liYVQyoAF85vlQEAPckWAEBPsgUA0JNsAQD0JFsAAD3JFgBAT7IFANCTbAEA9CRbAAA91WaL6e9IRJ4/Has39yDvzDMoB4/nnmnhZK7iQy3H6zNZv5fBk0F3v+Z69P+XyM9uAHAmddli+gDvu+dJGtj/8EXZ4l/JHvwW2nhyNlvsfrl9urRkg7c/bpL85c7NT8ffPR/ef3m86Tt6d0lth7q6Z4vjbXZc+/690UJ7TQfgYtVki+2ofTTivTze3D3PXCqYr7X1t8u3v0iS+PmRZGP242tyoB38NtnN48v2Ssr0OsrdYyqF3D1P0smSWLBf7EVni+e7Q/OOfgqt1++a+r1TgLeoIlsc/QN9O6gcRpfGzwP2s9X/MtguRDzfjX9iLDkiHxdLlMpcuXh+fByv9b6+0Y/C797u9CtnkcgWHnGf745iUanetlF80Nrj6y2HH73tNR2Ai1Z5v0XydojsdfG6ejfXP9JSQ+FhMDuKDakRefDjqoeBM3nBJHUJ/vnu5vHlaGTb/gj84+G3U18e725uFuas/Aom7PZENMQc/ex9pubaOiczjzfx4Z3dvTQ9pgNw2RZ9T+T43+fN/64sXGko1TecbZAuxrUdDarjAeroSv7RZz7jT35WR8va/7v68FnI3fPuIk6v2ySS26Vw/0E6+B2uJQxmOa66tc5xs5KLki0APppXv27xfJcZraqyxSBdHE2eDkfTKS+PN6ubu7vpFf2X5+fBlYlDhtjPNb3tcPsZTZ+7JKbZ4igK1clmiwV1HrU0v9FlC4CPpS5bjIbN5fcV7P/lvzhb7IeembsU8gPU/FdbDkNe+t/xu2+hdLoBM70mu8VXjrKl6xatdR7qSu2Iyd+yBcDHUJUtoqNvrT7ZYnsDxWNrtkgVTVc0vvcicfWkh9r7LZo/E2mtc50IFtuZ3MsJ8HG13m+x+yBhPLg3DaydskX2kRejSku1DpsyGVd3H4c8P78MYtbo7o1ivqr6p3f/74nMZIuWOpMlfQcV4COrzxaDx2EOnghxNNBGrm+sjr/a0SdbZB/WeVRpRbaYu2xwd7e7U/Rwy2jyn/KH1sVH7UmoWaIiW9RUOTYftHpNB+BS1T3fYnRNoNNzHEb1jJNKX7lsMXeX6qFN+zgxbH/sAV6dvpwKABds0XdQqSNaAPAByBYAQE+yBQDQk2wBAPQkWwAAPckWAEBPsgUA0JNsAQD0JFsAAD3JFgBAT7IFANCTbAEA9CRbAAA9yRYAQE+yBQDQk2wBAPQkWwAAPckWAEBPsgUA0JNsAQD0JFsAAD3JFgBAT7IFANCTbAEA9CRbAAA9yRYAQE+yBQDQk2wBAPQkWwAAPckWAEBPsgUA0JNsAQD0JFsAAD3JFgBAT7IFANCTbAEA9CRbAAA9yRYAQE+yBQDQk2wBAPQkWwAAPckWAEBPsgUA0JNsAQD0JFsAAD1VZounz7fXV/dff40m//xydXt9dXv9+Wd59t8P99dXt9effvyuWywA8FbUZYs/Xz/dXl99ezqeuk0MV4m31smSsgUAvFsV2WJ3cWL33+rhz3q9Xn//tokLT5vccHzp4unzoOQ0W/z6sQokEgDg7ai6bvH921FQ+PVnFw42n5JsrmocxQvZAgA+mIZs8en++ur2y/efXz/dXx9fyTj8t0sPsgUAfDA12eL3w/311f2Xz5tssf79cJ++efP7t02BtWwBAB9OTbZ4+nx7ffXt68M2W2zvtNj99+Xhx+rq/uv3H6vBxyKbbDH3n2wBAO9G7b2cu3s299ni8CKVLUZ8TwQA3rv274ncf32QLQCAkfrncv6OfyayLXD4yGOaLbYfmsw9dAsAeCMWZ4vSdQvZAgA+HNkCAOhp8f0WPhMBAAY6Xrf4vl6vd4+skC0A4IM6R7YI/CdbAMA7sTxbfP62/Yjk1+73RBI/wp7lugUAvC/12QIAIE+2AAB6ki0AgJ5kCwCgJ9kCAOhJtgAAepItAICeZAsAoCfZAgDoSbYAAHqSLQCAnmQLAKAn2QIA6Kk2W7w83tw8vhxPe75brVZ3z6XZnu9Wk9mOKh3N/3w3V+P65fFmtsy+smG56dKSjXm+W02FlgcAH1lltpiOy5spyXQwSBPHfx2Xfnm8OR7Ab+7uRlNWN48v6cE+UW7iKFtMllYdagCAgopsMRrb756Pr2KMrmhEs8V2MB+O/9uaxtc6Rpcfkg0cZ4thm7cNPo4ZwxniV0IAgJy66xZHw/vkOsLN3d0hXsSyxaDCzbC/qXRbNvvpxTgVBFv9fJdt0qBU6mMfACCoKls8363unjdjcO4iwn7EnvsEYzr35tOK/a0Oo/F98llG/EORbVuzLRpHjO1nPPEFAAB7NdniOFUMhurxpxnJWbP3W+yrOpp1O7pPqktcsijfKLo+XAs5LPfQ0KOZc9dDZj+OAQC2KrLF0b/lbx4f7/YXKPaJ42jIHqWH8Z0Nw4Cy/zBkcm1jHDFenp9fxtcwCsP+rtZ9oihki1TCOVQjWwBASP3zLdLXLRqzRY3cNzwODclUObyTIpstxiuQrgEAmNGULVar1erursd1i+M6625vCAeUfQsLthXJFgCwUNN3ULtft8jcMTGcHLyXM5UBJslgU1dqicFscfxRCwBwsOQzkeF1i42jbFERAiqvW2weBPr4eLP5n7khfvrN2bvndfrGzVC2GDy507dGAGBkWbZ43D+NYn9ZIfRP+YbrFuOnYI2ekpG5bnG4P3PXwNQVjMPU42yR+irM0RuuWwDAmN8qAwB6ki0AgJ5kCwCgJ9kCAOhJtgAAGxDbsgAACnhJREFUepItAICeZAsAoCfZAgDoSbYAAHqSLQCAnmQLAKAn2QIA6Em2AAB6ki0AgJ5kCwCgJ9kCAOhJtgAAepItAICeZAsAoCfZAgDoSbYAAHqSLQCAnmQLAKAn2QIA6Kk2W/z6sbq6vf704/duwu+H++vPP3d//fn66Xbw527K1benWIVPn2+vr+6//hoV+vnl6vb6alTztJ7pjADAmS3MFps/r26/fF+v1+v192/XV8fhYFv+25dPt9dXg//2KeGownQQ+f1wv5sxk1F2zSiFGADgHBZft9jmiU8/fm+TwS5nDN5dPfzZXXvYj/1/vn66vf704/ehwt3Fid1/q4c/w/qfNgkjd+liFy+2cwEAr6MiW2yjw/6/Lw/7qwWT/44+47j98n0aSqbZYhhE1uv1+vevP7vEsLkQsmtAJl7sLm/4ZAQAXlHldYvt+D28brFer5NXLNbr3bWK+6+/hpc3BrMks8Wn++ur2y/ff379dJ8OLokGHDWjdFsGAHBaldlicx0imi0Gt18M7pnYfHLxc5otfj/cX1/df/m8yRaju0TH1U5yzKB57roAgFdTlS32t0yGssX+M5T7r782o/63p92Vj2S22JT5+rDNFrtoMvwI5v7r9x+r7JWJwx0b7roAgFdSky2Orz18e5rcgXF8G+Z+pL//+uvnl6OLE7dfvmfu5dzds7nPFocXs9niKIu4dAEAr6IiWwy+x7FJAKObJxLXLe5Xn26vr+6/PuxG/c8/d3d3zn5PZDtXOFvs25C7+QMAOIPabPHpfvwd1PU6d7/F0/dNkrj/8vl+nyqOrnmM7uVcr9eHCxuVn4lsC397Wk/vGwUAzqbuO6i7oT36PZHRczZ3Vyb2D8MIZIvYdYttzfsGbHKMuy4A4Oxq7rd4+v4z8eys9TqcLYZDfs9skfj2ytGDMQCAs2l/Lmf2Rs7hNzWOssV2vN/cZRm932L+M5HhpyEDmUdxAAAntfyZ3+t17LrFtsz4c4r4dYvvg/L7bLG7JyN156ZHaQHA+Z0rW2w/tpgO87/G1yEqskUpWGwEfkAVAOjpPNli8+lG8iaJyV0R42zxef9wz6OHcU3v3yw12FdSAeBMarMFAECJbAEA9CRbAAA9yRYAQE+yBQDQk2wBAPQkWwAAPVVki/8AAP7777///uuWLf4PAPjwZAsAoCfZAgDoSbYAAHqSLQCAnmQLAKAn2QIA6Em2AAB6ki0AgJ5kCwCgJ9kCAOjp/Nnif//8tVqt/v73tOsFALyO82aLf/9erf7655+/ZQsAeK/OmS3+989ff//7f5uEIVsAwPv0GvdbyBYA8H7JFgBAT7IFANCTbAEA9CRbAAA9nTVb/Pv36piEAQDvjedyAgA9yRYAQE+yBQDQk2wBAPQkWwAAPckWAEBPsgUA0JNsAQD0JFsAAD3JFgBAT7IFANCTbAEA9HTWbPG/f/4a/lLZX//87wxrCACc07mzhTwBAO+bbAEA9CRbAAA9vd79FlIGALxHr/Y9kX//Fi8A4B16ve+g/vv3avX3v6dZKwDgtbxWtvjfP3+JFgDwDp0zW7jdAgDeP8/lBAB6ki0AgJ5kCwCgJ9kCAOhJtgAAepItAICeZAsAoCfZAgDoSbYAAHqSLQCAnmQLAKAn2QIA6On82WLzi2U1P4G6mWP2x82Ofgot/ntoh9kCxf/922+tAUDRebPFv3+vVn/988/fNdnif//8tfr7779rB/N/Iwup/KX3f//eFf7fP39JFwCQcubfWP/73/8LDvuHeVZ//fO/f2uzRWiG6lon7WqaFwDes9e43yKeLfYjeGUK+N8/fwWW8O/f24soDZ9y1OQjAPhILjpbHBJFXbYIlv737+GNHzVpYfPZjqsWADB1wdlimBBqskX444pRpdFl/O+fvyQLAMi53Gxx+ErGQCySBK8/jEqGsoVgAQBll5stxrPEBvSqeyyHH22EZvRZCADMOWu2mFyKCCeMYLao/E7p0TMxQl8raW0/AHwYnssJAPQkWwAAPckWAEBPsgUA0JNsAQD0JFsAAD3JFgBAT7IFANCTbAEA9CRbAAA9yRYAQE89swUAwH+9sgUAwCzZAgDoSbYAAHqSLQCAnmQLAKAn2QIA6Em2AAB6ki0AgJ5kCwCgJ9kCAOhJtgAAepItAICeZAsAoCfZAgDoSbYAAHqSLQCAnmQLAKAn2QIA6Em2AAB6ki0AgJ5qs8WvH6ur2+tPP37vJvx+uL/+/HP315+vn24Hf+6mXH17ilX49Pn2+ur+669RoZ9frm6vr0Y1J/x+uL8+bh4AcF4Ls8Xmz6vbL9/X6/V6/f3b9dVxONiW//bl0+311eC/fUo4qjAdRLaJ4aqYUYYlZQsAeDWLr1ts88SnH7+3yWCXMwbvrh7+7K497MPBn6+fbq8//fh9qHB3cWL33+rhz7D+p01uOL508fR5UHKaLbbRZyaRAAD9VGSLbXTY//flYXvRIvHf0Wcct1++T0PJNFsMg8h6vV7//vVnFw42F0J2DRjEC9kCAC5M5XWLzIcOqSsW6/XuWsX911/DyxuDWZLZ4tP99dXtl+8/v366TweXSXaRLQDgYlRmi81YHs0Wg9svBvdMbNLAz2m2+P1wf311/+XzJluM7hIdV7tZlmwBABemKlvs7tyMZYv9Zyj3X39tQsC3p93wn8wWmzJfH7bZYhdNhh/B3H/9/mM1+Fhkm3Vm/pMtAOBsarLF8bWHb0+TOzCOb8Pc35t5//XXzy9HFyduv3zP3Mu5u2dzny0OL1LZIt1C3xMBgFdTkS0G3+PYJIDRzROJ6xb3q0+311f3Xx92VyA+/9zd3Tn7PZHtXLIFALwptdni0/34O6jrde5+i6fvmyRx/+Xz/T5VHF3zGN3LuV6vDxc2Ap+JbAscPvKYZovtQuceugUAdFL3HdTd0B79nsjoOZu7KxP7h2EEskXpuoVsAQAXp+Z+i6fvPxPPzlqvw9li+LUO2QIA3qX253Jmb+Qc3M55nC2OvhEavd/CZyIA8KYsf+b3eh27brEts38WRa7C7HWL74PysgUAXKhzZYvsGP9r/L2P+mwR+E+2AIAzOU+22Hy6kfqZsf3DtfbG2eLz/uGeRw/jCnLdAgDOqzZbAACUyBYAQE+yBQDQk2wBAPQkWwAAPckWAEBPsgUA0FNFtvgPAOC///77779u2eL/AIAPT7YAAHqSLQCAnmQLAKAn2QIA6Em2AAB6ki0AgJ5kCwCgJ9kCAOhJtgAAepItAICezpot/vfPX6uBv/753xnWEAA4p3NnC3kCAN432QIA6Em2AAB6er37LaQMAHiPXu17Iv/+LV4AwDv0et9B/ffv1ervf0+zVgDAa3mtbPG/f/4SLQDgHTpntnC7BQC8f57LCQD0JFsAAD3JFgBAT7IFANCTbAEA9CRbAAA9yRYAQE+yBQDQk2wBAPQkWwAAPckWAEBPPbMFAMB/vbIFAMAs2QIA6Em2AAB6ki0AgJ5kCwCgJ9kCAOhJtgAAepItAICeZAsAoCfZAgDoSbYAAHqSLQCAnmQLAKAn2QIA6Em2AAB6ki0AgJ5kCwCgJ9kCAOhJtgAAevr/PnD4rI0KVCUAAAAASUVORK5CYII=" alt="" />

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开始的时候蠢蠢的使用直白的模拟：

 import java.util.Scanner;

 public class Main {

     public static void main(String[] args) {

         Scanner sc=new Scanner(System.in);

         int times=sc.nextInt();
         while(times-->0){

             int n=sc.nextInt();
             int a[]=new int[n];
             for(int i=0;i<a.length;i++) a[i]=sc.nextInt();

             int ans=solve(a);
             System.out.println(ans);
         }
     }

     public static int solve(int a[]){
         int res=0;
         for(int i=0;i<a.length;i++) if(canSee(a,i)) res++;
         return res;
     }

     public static boolean canSee(int a[],int i){
         int t=i;
         boolean ok=true;
         while(--t>=0 && ok) if(a[t]>a[i]) ok=false;
         if(ok) return true;

         ok=true; t=i;
         while(++t<a.length) if(a[t]>a[i]) ok=false;
         if(ok) return true;

         return false;
     }

 }

然后很不幸，TLE

然后想着分别从两侧扫描只记录最大值然后跟当前比较做标记位就可以了，这样子的话最多扫描两遍数组就可以了，效率还是蛮高的。

AC代码：

 import java.util.Scanner;

 public class Main {

     public static void main(String[] args) {

         Scanner sc=new Scanner(System.in);

         int times=sc.nextInt();
         while(times-->0){

             int n=sc.nextInt();
             int a[]=new int[n];
             for(int i=0;i<a.length;i++) a[i]=sc.nextInt();

             int ans=solve(a);
             System.out.println(ans);
         }
     }

     public static int solve(int a[]){
         boolean book[]=new boolean[a.length];

         int max=a[0];
         for(int i=0;i<a.length;i++){
             if(!book[i] && a[i]>=max) book[i]=true;
             max=Math.max(max,a[i]);
         }

         max=a[a.length-1];
         for(int i=a.length-1;i>=0;i--){
             if(!book[i] && a[i]>=max) book[i]=true;
             max=Math.max(max,a[i]);
         }

         int res=0;
         for(int i=0;i<book.length;i++) if(book[i]) res++;
         return res;
     }

 }

题目来源： http://acm.nyist.net/JudgeOnline/problem.php?pid=1045