NYOJ题目1082买新书了
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a80pmzaEaz7dNFemBKNpnsU1MP17d6feD06kVA9QLgCzoyXgAAzBEvAIDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKAy8QIAqEy8AAAqm40X/dU4w4dKrvB80jUfMy8aPjxzjenTLkFdeMnOE+e8WoWXFm0u+xlfbzPesaPVSb0P4WOFO/wNW9/dhG18Cc4jbmJ2nv18zFoFOzpzc/nBfp3fz/M3qT/Mouxm9uktKb70af6TUPoul63morsYfPYGOsNb53a/Z5bQ39LoTIed/HX+MxfdLzpARfOYmyB8Pt4Ny83uDX9fZXdIOu+VfqF35C3NGkVtyYmXlE7elfO4eDH7bPx3ld2aWvf9PMynW6vBbEeXCO+PsHHWSN+VNLrLXMX7ekztxPY4lm+Eupu4DbY0eeyttJ+bpU21oPEOnbit3vjjcdx+Lnov+omm90B2i3KLKP8knBbEB68K91fuJsqj31N34EnfPbHztsNO4sO62oa7duK+xbMHqO6Jw52Rk6uesNomo1np31dqDWbfzu0qulGiWwFxNkWdI9tVeBOz9If95K+kqWNG6j5lk/Gi+F4h/d/sZNM9+fixhu3TVLzILT35tXC52e2HzV53+5W3rvl0wzM6iCd3Vhgv8jdkq3f39uK1ml5cNEHRfj6mJlFa59h3E2dqJakN6z5h0U16Jze1brwYPhk8F234ajUTL85w2AnXs7998dxnr+gANXifcrdOHqewdp3GNxOa/ySfWgmL5ypfcC5nG3sxdSermWNC3KgWHjrCBc82Hoe+ifBGYvGdz0uXVaT9E47mvFyGW5aphU9UWPrfByvcPXjeeNGt4+Se6uLF+Btf/f1cMO9BK5O7c2+w9wr382wejmc0KoPE31yD77DJdjG9f4J5BEtPNXTxrso+OX5/20kn48VodU+rXpxm5gZ6zT7qd1U6XhQfoPppEwscv1NBVA0yV7RCpWvRHFEK/kSnDgRl3Slwmpl4MfPXmvt07jbL5Wbb/OeoLwf5zvKizpGJv8jo+Dwsdo++1WS29rRveoODQbp60e7qNokkukK659uO+F10Q/hgJx0dL8q+CAVjRqLmK/G1qvtSf9jVoz1XeT9nPqjT1YtcK9n948j93O3E5sO/Cx6IFlMWL5IbmH1fw40Z/Ll0tY7id3mbnkthvAiMYlZRvDjDYSd9ZIiHQI3equ6VmQPUYceO5zFcwOEu0wnLzWbVfb76IL4o+/t6a7zQN8J5lVQvwvpd+FHP/JW3H+nmyDIXoItGThXFi+H6JTYhXO1uwfl4Ea/bKc3ebrNcrlbLsu8ahYvYNQNFZ78Ml3YZpZY5eehJvB2LYHBJFC+Wy2RXdeX93L5wuprehbeieFG8n49eyxmpb8fdqL/s2xU8Ov4ryqzpMe/ySfFi9NS27ZrcpHdDP99zHXbSn7z89EUHqMKnk2vTR9kgUxT9fbXPlX2SRlulcsF5HRMv9vt9f4DbpnvtguNVfBSODhsFpmvN4xZo1w6fnP1L6w9P20T/a+Vmb7tabZuVD9ctPo1kvPRMMGhX+1ARmGz23l5kXm2DQWCxsG9/qvBzqNwsUweys8WLzBxS9YGZeFG+n0urAondM9lvEb4mvYzE27AfvP9zjf/8u9xNfHS8iCaMaxKpd3k4ec3DTupPqvvbHH4+jn8v0/tsXrCVUZdN0d/XyZI1Eajs6Hix3+9z/Y1dDbabaPDHne3PyBf/Co/am/7rcnH1olv2ZLwI1vnUP+8+XqQa1GFTkD+ER5uWa/Y2w4Grp+i/Ca7mD6Ldmo13flgoGo+Fq72fo32ScmS8yE1csJ9zn8NT6kmZnoLgr220tKjRnOq4KH+XS+NFtC6Jd3IqAu7TU0Yr/PbDTvqTV1q9SG5xyRuZeOubY1w3p3BlSv6+Ts9Bu3RKg6qOjReHT3T4DTuI/G0pIKFrZEZ/wom/3pNqzsHqJaXixeFYs1pl4sXg22XNeNHNLX708Nvu0HMclVkSB8n8t+rDL6d+Owl3ULqdTNRjkvu7n9OoFnuG/XxK9SL5ISmJF8P9PBscRuW4cSRIVeRSIz7KCtvb6UswFL3LmW1Ixothx81wFMFgUZl3uX+4+mGnmbb5k+/KA/0HtDheTE6c2eWD17S/TlUvZv++UrttqloFf1VBvNiGlxNIfBnJHcIK64SJP9XhN/XhcgbfV+LJjqle7HPfiPbdUWk7+S11apXDOQ0PFkFJPXrV8Jtqe9Qcz7qg2TuljR5/3UsdShMzT5anhkkud2Jynf182Ce7zSrXrz9TvYjnM/z3zH5OxZdsb9VuswrOHGo2fvbt6pvQmeYj+5mOJjjlXW7EOy6VI7olDL9TzOz8fj0qH3b69LbtukT7queR8SL/KTwpXnRjQ4M/+6K/r3CFwqNjfHhLrOnE/oNq5uLFth1UdHwiPjZehM1vfDxKHXuzhdLUeg67P4bdDKOe69Eim5WbqzPnnkxXLxbDo3Iwm64t6Q4+o68rU1+7TikA5Ru54S7adUP02w7iRXeKyGKR3dWDpuIM+7lfj5LqxcR8xvFiZj8fFS+Gq5z+RpqYbvoPajdsplLK3+XJecRVilGyGCX4UaEkHS/6mt7ZDjtRfST6MM7Ei8wBqnDpBZ0j8VwK/r7a7UkHuPZJ8YJ3MhMvtqug5DYh06afWL3olz53vMt+Nwqenj/ihoubPIZnu7InW6xhvBjUtkfH+3SgGhQyttH3rsK3JK9wV/dNaTD4/7gvWufbz/2Tw56XeI9MlLjGO690P2fjRVtJSc5l3OMVv8WZ6TLrPfvndtS7nHlu8tOVe+u3wTk9cRfPUFPXO8thZxDSSr7mTz5T0CXWL2++c2Qw19m/r0yRarhOekp4LyVjL5iju/PvsJ8BPgnxAgCoTLwAACoTLwCAysQLAKAy8QIAqEy8AAAqEy8AgMrECwCgMvECAKhMvAAAKhMvAIDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKAy8QIAqEy8AAAqEy8AgMrECwCgMvECAKhMvAAAKhMvAIDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKAy8QIAqEy8AAAqEy8AgMrECwCgMvECAKhMvAAAKhMvAIDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKAy8QIAqEy8AAAqEy8AgMrECwCgsoJ48XJ7f321fvw9ePjX3dX99dX99e2v7Ct//1wkXggAXLb5ePHn8eb++urpJX709WF9fYgXo6cav38upicAAC7TTLxoSxTtz+Lhz36/3z8/XV/dX9/8fDmEjFwBo00YzasAgC9htnrx/BTmg9fff9rQcOj1ONQ2sgmjLXLoIgGAr6MwXtysr6/u755/Pd6sr+N6Rv9z8/M18fqZ/AEAXJy5ePH6sL6+Wt/dHuLF/vVhnQ4Kz0+HCcZebo3AAIAvZS5evNzeX189PT408aIZddH+3D38XFytH59/LrL1iX70hhEYAPA1lAztbIdwdvGi/8dsvIjiiAIGAHwFx505sn58OCpeNAMv7p67f5xpMwCAj6Psqp2vp3WONBM/vez7c1lTwz8BgEtyUrwoq140lY+uYnEY42kEBgBcurPFi+aEkbBcEV0wAwC4VCeNvZjvHAm7RQLNVbZ0kQDAJXtj9eLQ8fE7jhft+IzUQE5X2QKAi1c9Xkxli4OCW60CAJ/YafHi9qm9k0hbjWhGVAyHc6a1tzpznioAXKKyeAEAUEy8AAAqEy8AgMrECwCgMvECAKhMvAAAKhMvAIDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKCyknix2ywXy80ufGi7Gj5ygt1muVht9/vtajG22vZTjRa1XYVTzK5tLbvNMr3Y3WaZ2ITsJjWbEK3laI92271dHV45/P+btyW3l2a3JvnCkz8S7cdgbqLDNMMPS/g5Way2wZSJWSw3u2A1j9vD4dTlewXgi5qPF+PGZrUdHWFPaO+2q6KXjRufwyNTjVLhrI+02ywXy2UmYBSuQ7LlXm526Rbt8OB2ddjjzfPD5rOstctN9ea3MVhArn2dXsNwy1NTtk82OzRaTreDlptd/4HIrEqbD8JPTtEejl8+Ez4A2O/n40VTC4iO2LvN8tC8n3xAzZYBYoPWpvlu2i115gt43YDRxYXC7JKbrF3pZo8eVnTcrK42qSCy2o4CSrAHtqsjvkK/vT0sK9lEe2G8hm1Tfvg4bQbBIH4bt6tukuaJdLzI7PzhFifXP7mHt+Ejq5XqBcCsmXgRfaVrjp/bVXsgPbFM372soImLFjFqhZerVWYOU90nJ61xHK9SbUm8NRPxItUybTeb4X7ut2PYxO5SU87Fi/n6xentY+kHYbiGYZdHU8NJx4t+AduSeLHf73a76S0eVEzm97DqBcARCsZezLVLpzbihwY4/x246zMIKtjp2YwP7NvVYrmsMwZjt1kGdfw+GI02vCxe9PMc7LvtathGbleLxeH7ers7dpvVcpkNdzWqF6UliUHaKvxoDNYweGV+WEO/w4OqTzZetLNMx7/hCh2zh5Pxon6VDOAyHH3mSNwsdYfXY5ulXN9K3GbGwSJofCYHfrYzTx37j1vPpvkJuvqHtZRg/uN4kdrwuLtp2OnUT9Yv67D5zYqvtm3xaByrJuJF2dCLTCCaakMPq5XLfTPxYjRdtnrRP1lSvchEp8EKHbmHm6e7MJL/bAPwPtWL7Sp7NB5+YQyP3ZtV+PWxaxOS55VMDvIrX8txeWA8zDTdWZHr/m8n71Ztt90G3577Rq57QbpIkti08upFM4phauK4jyBqh6PNSQ0cyX40xmsYb8ZkvAgn6XfCRLwYRMnVKvVpKNnD7RaqXgCUmo8Xg0P+2zuZ87lgn/zKm6le5GaTGA5Y6zvl9KjON4y9SLTKiUY7LPyken4K40VUcepiw2JYiUm2oWGcCt6WU6sX0c44vKf5iNKFmb7qU1K96H9JDmsp3sPBiSfpCoaYAdCbjRelzeGxjosXi8VisVoVVC9GTeybznBJrMhb40Vqpun1S/QMBPNOvKYgXhzezXhO4zdw8J18lDXGI0oLPxhzazhVvcifGZKLF9vV4FyjvmLUlzeK93Bwyk8bcuI1Fy8AeseMvdhtluNzNU6tZpTEi77hKqtepAZc7o9o6edUixfhpKPWuW0jt9tdkO3GeyUZw+J9Go2MaJ5Onp85+FY/nstg0MJg+jeNvQhGY07Ei+Cf21VzeujEtMvlsu9tCvd1HxGO3MNRl8lEvMi+PQBfSVm8CL70Bl/i3lQVPqlzJNn5HXaQZ1Zl1ISe5lzxIrtmfd1m0Z1JE47RGJcRxo90ySz6aj8Y/tK2sqtt4n0ZDzAYhsBcL9BcvOg3J70v+nm0/wo3Oy6kDPLHaNO63pfVdhwGCvbwbrM8XAEj03UVdzhV7ZQD+Hxm4sV4EObbx16k5jMZVsJ4cej0jgbutYf7mdWaih+FMpHhiLNR8mcdDNuq1aDlTQWKuY6fVBsXDx2d3dx2xSd2bWK8Z/atzJvaiYc4lLqUWzNGNV5eMEpivPb99g+zTX4Pt5fVWm2Ck1NVLwAmHNM5wudiPAAA70S8AAAqEy8AgMrECwCgMvECAKhMvAAAKhMvAIDKxAsAoDLxAgCorCReJC7UOb5+5cSNreLLURZeP7rIbuIazW+/pFTmFiZvWJPc7eOnLmY+ccXMt+7zk2/pOnjl8BqWqbuWxNdzn7vb6qTxpWTfpMLlXHmDarcEAj6UE+PFfCI45qCRmVmu9QxugHnG49J8MxvfYLNgTcbbeXhkamcec+fV4OaiBXdOXS5L01N6HZI7qL9NenL12tuN9pfvTt2WJH1v+MEN7tKr0KWYcBbjy3+P557f9CNiTH7ly16Z/HBFV78frHrq8bdvQtmuK1rWxHb1Tv56AXxgR8WL7LflzN3Bc4eMo2/ynrkX6JmzRdlRtXBNBvtucKvwqURQePA9Il6k7nQ2t+6ZQkd7e7v+/ubjD8lqk3q/D7e7HX2MRqWJubvDx8+N48VkcWKi6e22Y+5jECxsbu7R3IsAABfDSURBVOWzL8zu4tw0Ja89eROKdt1guZlllX/C3AEOLsxMvIgagOBe1q38YWHuuBJ+cQ0PwsmmMXGnze5Gmmc4LDXrPpGCwvudFq/J8D6jg1kOb3UfrU5mXxYEtVS/Vtz+JZZadvfXTP1iu9lsE3MZfbcPPjzxjW9Xm/gDcXq8mM5+88FtsneqfQsHVayJlc++MLeL47+vfm65xyttwsyuS6x/blmlxbfz/CED7+iEzpHu19mvZsvlVA2gP/JEh83FarObixfRHPJN7BsPWP0xPN7S7FiU6TUJOgZyQw6SaW27WiyXmSZifMfyeAXHb924/yDVjhx3c/nDNkapc7nZRTutKbJv+q/3u81q2S0kvuHoYQ/F+z6xb/v7ow/Xup/J1GegoCyUbpuzzWtu5WdfmNnFw0fb33OPV92EY16VXdYxfXvyBVyUI+LFzC2zBy9qj0+j7uh4mu6LUtNbkP+6NFxE7lvZSaMFMwvtvlzvdsFvwyNh2ZrEwSIoXkwO/GxnnmkKo3gxLqmEjw560ePj/rBAMo4Xybe7WbnDDol2S9S71C/rsGbdTdG3q9H9zdtpuy0bRbvB2ItcvJgfWlLQoqXby8kOldzKT49iiHdxrtujTryY3YTkrpte/8lljT/q6ZcafwGXpDBexMeGkq8k4TSHGYRtUonBt77huQm5b1EV4sV4+EA+VJWuyaCbadM3rF3oyJ1XkqqHB3PtS9lBYWIQOsbv2PiRsG0oqF4Ek3ertttug/rE4IOTaECaxYSbNtrgQRFkuQzmORUvDo3k1GfhpHjRrmPyTZ9e+flv/8FUXQh9h+pFdtcdX71Ib1fmpeIFXJKZeBEeT6Ya3fm67nwH/nRDMOiozrTG+0Gj/gaDNm+0+NPWJF29yM0mPuYmmsN2gsNTu82y7TBo9li+S3s6Ir5h7EXik5H45ASdB3HPT7Cs3fC0mu2qGdmwaZqxubEXUQ0ltQtOixfBqsaN7dTKT74ws9TzxYvZTZjaddn1n44Xk0+LF3Bpjh17MWp35urEMzNuG8G+RczNLHUsO2O8iDZ6twuPjKMlHBcvFovFYrUqqF6Mtnp8eO723LgfYr/bLPPDRavEi9RM04sbjsOIm7PwNdGytqvFcrXqT0xtOlaaFnbUeo+HdjYJKL3yJ4+9GG102AGSXvmZF+aWuj3z0M6pTZjadZn1f0O8KMh6wKdyXLzov642o7/yB5+ZJinqyY0HKGYqtpXiRWlTWdBBMj1oYrAm/fzKqhepAZfj1R/0W42O0eetXowmHe20Nulst7ug1DHeK7mOt2D7tqvxUIz5eLEffNQmtjKzcce0etmVnzF+5xNxsejf40zwlk3I77rsdkST57crsdiZUonSBnwyx1Yv2gcGRe6xfJM07oIdfvsaHSPrxYsaNdg3Vi+aeBFWL4azmeqljo7Sc5vz9+PFXB1+tWqbrL7tCjcpVfcfBqooXsQS8SIbWqd33yAqhW15NmlOrfzsC8fLGqzJcE1Tj4/Twds2od91k6/KLWtyu+JNmS57KW7ApzMTL9rj92qbyRTZI3dxQX1/aps/bgJnj2Jv6ToJFpAYAVG6JmG8OIyCbMcQdC+Y6CSKFtH2kKe2Z35vZN6f0nG3i+4k03l9oogXM9Pxk1ZUvSh3YV3+n7MVnnwTVC/gkyqpXlyQSgMzuByZXqhP6VN+vI/5IgJ8Hl8sXgAA5ydeAACViRcAQGXiBQBQmXgBAFQmXgAAlYkXAEBl4gUAUJl4AQBUJl4AAJWJFwBAZeIFAFCZeAEAVCZeAACViRcAQGXiBQBQmXgBAFQmXgAAlYkXAEBl4gUAUJl4AQBUJl4AAJWJFwBAZQXx4uX2/vpq/fh78PCvu6v766v769tf0y9/fVhfX91f3/x8PXklAYDPZD5e/Hm8ub++enqJH21Cw1XiqX1ySvECAL6KmXjRlijan8XDn/1+v39+OiSGl0N0iAsYL7fBlON48fvnoiCUAACf1mz14vkpygq//7T54NBdcqhtRAlDvACAr60wXtysr6/u755/Pd6sr+N6Rv/TBgjxAgC+trl48fqwvr5a390e4sX+9WGdHsv5/HSYYC9eAMBXNxcvXm7vr6+eHh+aeNGMumh/7h5+Lq7Wj88/F0H/yCFezP2IFwBwqUqGdrZDOLt40f8jFS8GnDkCAF/McWeOrB8fxAsAYFrZVTtfyztHmgn6vo9xvGh6T+auxwUAfE4nxYup6oV4AQBfnXgBAFR20tgLnSMAQN4bqxfP+/2+vZSFeAEA7PfnixcFP+IFAFym0+LF7VPTV/K7vedI4o7tWaoXAHDRyuIFAEAx8QIAqEy8AAAqEy8AgMrECwCgMvECAKhMvAAAKhMvAIDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKCysnix2ywXi9W2bMKS6fa7zXK52cWPbVeLuaVsV4vRy942YYF2o7arxVjR1k7PPLeiu80yscBAtS1sJbcwsbnz06V3zWGLCndZfs/M7phmIWWr2azQdtWu2PhD3D83+D2zhNR6x3MdbNxus0zvrbl9tV29/SMIcAYl8WL+aN4eKcPDcOrI2z05PnIeHkke2YPjcPzbxPG3XryoewA/tWGenWm8tbvNcvhQG95G2zN+dTCX+Z3YTzTdHGY/RRPpqvAtPO3NHrwq/OwOt2QqXjTzSP0rMpznILK3b0v+A5J9j+rHTIA3m40XiYZqYtLVdt8e8TaDo2x3eB0cQFfbuCUZtCqnx4u3N9vlVZvTlTeieamAMFj1vhXKx4tjok9pnaNbQuIzlK5WdW9xt2dm00P1eJH42LXPRRu+Wp0eL0aTjj4JmVcUv0cA72gmXjRt0UT9IowF0Te64VE2PFhGh/LREXO5WvUH2nesXnRrWSMChHOdcfSy0vWHIGCEWWMyXozat1yD10+brF70b3C/bqPS1kwjHCx9JuNOvdnjj25QasvHi9HqnlK9mCn7JT66k69I/VWlN1i8AN5d2diL+IiZ7EEODoz9t+TMAXW7Wqy2h0P08MA9WuJca3z2zpGmPc4f+N+2nEx0KRleELY5ybVoH48SxVznSLfDl5vtZrnc7IIHUkWlmXgxWqGpdy1628ZlrBNGVEwUw2biRWD0Hr29cyT8rX2voz+lRNmi2XjxAvgMiuJFcEzb7Xb5I/SwipypXsTBImgtwr7v9EF0qnpR9F3xqGZ7n+/anmiMphzXNA5kG4786Il2ecOeiszW1tyQaE2jFvTwS2KRo3d3ME1mB+Q3fzyXk+LF6Klm65ebTaWhneMHDikwCi2Tw5qmPzoAf1tB50iJRHE9Gy+iFn652azC2vnhv/2xdnBkH8w0OmRPfW07LQ10rUi1eDGeS78DJibpv9WGAS1az6mTLBLtVryErsZR/F4XLXw/2oXpZaQHhUQN7lzjv11lnq4QL6IJ48CWKia0j5Xtz+DNTeyGikU4gL+qpHoRHuOyQ97i1NCcoTCUGo0fVy8+ULwYrsqbZzgQ5a1wwGQw49wGxkWVqRY+mSbKzhzJbeOxFaB+y0bfrbsej8TSuj0/OcC23Sm7zSq5B06KF9G6JJr4ROfIrMxAzaCHJH5D2z+OZN2kfMcDvI+CeBGd1rHbhS3bVCOb7xzpnl8sFovV6uNWL5q5niFeDPsH2p2xHU01lTXCmkCVeHHklTbSpxcnejTCBcSDdeZ24jY3BnS8Mem35MihncM3ZjguYrCoTLxIPZz4eA4GYMyWkEZJo+TvEOBdFMSLgi9MoxLGYURgOl708/vY1YturifEi1EbPnhuudkNZzzqxhi1UYmA1tfTq8WL4eDMaOhmvPNXy2Xw3s0kgXAzE41lbsL8VON+n9QnIH/Wz3gczzBHdEsY1k9m4kXyk5h4MHwrEus5fb7MoKaYGDWaqRgB/A1FQzuzRuPNSsZeDF67jaoX3bR9vDg22hR99St2UryYHITZ928su9My4q/0zZkqqeZm9AV2lTyXIirtnyleROtVsqPTlYDs3ObiW7ZHp/C9jj6gw7LLKNxECWMmXiQfTcTrwfzbU3X6afo+xkQXSSrutE82dZjmw6GvBPj7TokXwfExfeCaauhH37i2q3YAfvc9sTgN/PXqRVxqySpY3OyX82huk7u7nmy82MRfhOM3ODHWs5909sMSv6pgG+cDxFS/S7jqmZnkqgbbVVujGefBzId8MNeZUkx/KkqukJH51AzXIhzJo3oBvIu3VS9I0hUOwNcmXgAAlYkXAEBl4gUAUJl4AQBUJl4AAJWJFwBAZeIFAFCZeAEAVCZeAACViRcAQGXiBQBQmXgBAFQmXgAAlYkXAEBl4gUAUJl4AQBUJl4AAJWJFwBAZeIFAFCZeAEAVCZeAACViRcAQGXiBQBQWUm8+P1zcXV/ffPztX3g9WF9ffur/e3P48198Gv7yNXTS9kMX27vr6/Wj78HE/26u7q/vhrMeTyf8QsBgPd1Qrw4/Hp1f/e83+/3++en66s4HzTTP93d3F9fBT9dUIhmmM4irw/r9oWZmNKuxlSOAQDewUnViyZS3Px8bcJBGzWCZxcPf9oKRNf8/3m8ub+++fnaz7AtUbQ/i4c/4fxfDiEjV8BoE0bzKgDgQ5iJF0166H7uHrqawegn6uy4v3se55JxvAizyH6/37/+/tOGhkM5pF2BTMJoixy6SADg4yioXjRNeFi92O/3ybrFft9WLNaPv8MiR/CSZLy4WV9f3d89/3q8WaezS2IFotWYGqIBAPxVBfHiUI0ojRfBUIxg/MShC+PXOF68Pqyvr9Z3t4d4MRg0OpztKMoEq2cEBgB8FLPxohtBWRQvus6U9ePvQ8P/9NLWP5Lx4jDN40MTL9p0EvbFrB+ffy6y9Yl+9IYRGADwMczFi7gC8fQyGo0Rj8rsGvv14+9fd1GJ4v7uOTO0sx3C2cWL/h+z8SKKIwoYAPARzMSL4MyOQwgYDKRIVC/Wi5v766v140Pb8N/+agd7zp450ryqOF5065AbCAIA/H0l8eJmPTwxdb/Pjb14eT6EifXd7boLFlHlYzC0c7/f9+WNIztHmomfXvbjYaQAwHuZPzG1bd1LzxwZXIWzrU90F8koiBdl1Ytmzt0KHKKMERgA8N7mxl68PP9KXFZrvy+OF2GrXzNeJM5niS6YAQC8l+Ou2pkd1xmeuxHFi6bJPwy6LB17Md85EnaLBDKX6AAA/qbTLgq+35dVL5pphh0W5dWL52D6Ll604zNSAzldZQsA3t0540XTfzFu6X8PqxFHxIupbHFQcKtVAOCMzhcvDt0cyQEToxESw3hx2136M7pO13g459QKO08VAN5HSbwAADiCeAEAVCZeAACViRcAQGXiBQBQmXgBAFQmXgAAlc3Ei38BAP79999//60ZL/4HAHx54gUAUJl4AQBUJl4AAJWJFwBAZeIFAFCZeAEAVCZeAACViRcAQGXiBQBQmXgBAFT29+PFj2+Lxj/f/zv79gEAf93fjhc/vi2+/fjf//73v//99/0fAQMALtE7do7IFwBwmd4xXvz4tmgrGQDABXm3ePHjm8EXAHCZ3ide/Pf9H+ECAC7VO8QL2QIALttfjxc6RQDg0v3leNFf9KJlcCcAXBpX7QQAKhMvAIDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKAy8QIAqEy8AAAqEy8AgMrECwCgMvECAKjsXeLFf9//Gd7M7PBQZ/aequG90dyAFQA+lHe6Ifv3b+N4cWpK+DGcFwDwrv5yvPjv+z/ffvwvEQneEC/+9+ObAgYAfCDvNPaiYrz47/s/ihcA8JF8oHhx7GCKbviF0gUAfCgfJV4MnzwmMhh8AQAfykeMF0fnBYMvAOAj+YDx4r/v/xyVLo6dHgA4r78dL8LrVSwW3dUvjh16ccJQDQDgL3HVTgCgMvECAKhMvAAAKhMvAIDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKAy8QIAqEy8AAAqEy8AgMr+frzob2o2uBVZ7onsC7IONzwb3kT1+PkAAKd4hzumNs3+f9//Cdr5H9+6Vj+6wXru8akFLP75/n14w/ej5wMAnOodO0fCfPHjW1hS6J/JPT4xz28/Dq+LEsSx8wEATveO8SKIAGEaOPRsHH7PPX7MvKfmDwCcwbvFi6C3oi0uNA1/868mXiQfL5p7HC9Omw8AcLz3iRf/ff8nGmDZjLrsHgniRfLxWYnqxUnzAQCO9w7xYpgt/jcabdmNjcg9PmsQL06eDwBwvL8eL6JOkfTDYTbIPV6wlNyZI8fMBwA43l+OF/21J1pdO98OuRyOusw9XriA2fkDAJW5aicAUJl4AQBUJl4AAJWJFwBAZeIFAFCZeAEAVCZeAACViRcAQGXiBQBQmXgBAFQmXgAAlVWOFwAA/1aMFwAAxxIvAIDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKAy8QIAqEy8AAAqEy8AgMrECwCgMvECAKhMvAAAKhMvAIDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKAy8QIAqKwkXvz+ubi6v775+do+8Pqwvr791f725/HmPvi1feTq6aVshi+399dX68ffg4l+3V3dX18N5pzw+rC+jlcPAHhXJ8SLw69X93fP+/1+v39+ur6K80Ez/dPdzf31VfDTBYVohuks0oSGq8mYEk4pXgDAR3FS9aKJFDc/X5tw0EaN4NnFw5+2AtHlgz+PN/fXNz9f+xm2JYr2Z/HwJ5z/yyE6xAWMl9tgynG8aNLPTCgBAM5mJl406aH7uXtoSheJn6iz4/7ueZxLxvEizCL7/X7/+vtPmw8O5ZB2BYKEIV4AwMdWUL3I9D6k6hb7fVuxWD/+DoscwUuS8eJmfX11f/f86/Fmnc4uo/giXgDAR1UQLw7NeWm8CIZiBOMnDoHg1zhevD6sr6/Wd7eHeDEYNDqc7WFZ4gUAfGyz8aIdyFkWL7rOlPXj70MOeHppE0AyXhymeXxo4kWbTsK+mPXj889F0D/SxJ2ZH/ECAN7LXLyIKxBPL6PRGPGozG6o5vrx96+7qERxf/ecGdrZDuHs4kX/j1S8SK+hM0cA4KOYiRfBmR2HEDAYSJGoXqwXN/fXV+vHh7YOcfurHew5e+ZI8yrxAgA+s5J4cbMenpi63+fGXrw8H8LE+u523QWLqPIxGNq53+/78kZB50gzQd/3MY4XzULnrscFAJzH/ImpbeteeubI4CqcbX2iu0hGQbyYql6IFwDw0c2NvXh5/pW4rNZ+XxwvwhM9xAsA+AqOu2pndlxnMLozjhfRaaKlYy90jgDAZ3baRcH3+7LqRTNNd42K3Ayz1YvnYHrxAgA+h3PGi2wz/3t4Jsjx8aLgR7wAgPdxvnhx6OZI3Y2su+5WZxgvbrtLf0bX6SqkegEA76okXgAAHEG8AAAqEy8AgMrECwCgMvECAKhMvAAAKhMvAIDKZuLFvwAA//7777//1owX/wMAvjzxAgCoTLwAACoTLwCAysQLAKAy8QIAqEy8AAAqEy8AgMrECwCgMvECAKhMvAAAKvvb8eK/7/8sAv98/+8vbCQA8De9Q7wQKQDgsokXAEBl4gUAUNm7jr0QNADgEr3nmSM/vkkYAHCB3vXE1B/fFotvP86zYQDAe3nHePHf93+kCwC4QH85Xhh6AQCXz1U7AYDKxAsAoDLxAgCoTLwAACoTLwCAysQLAKAy8QIAqEy8AAAqEy8AgMrECwCgMvECAKhMvAAAKvv78eLHt8wtzbJPAACfyt+OFz++tfdg/+/7P0GO+PGtSxVu1A4An9s7do6E+eLHt7BkEScPAOBzecd48eNbV6QI/nkoXizULwDg03q3eBH0hrTFiyZYNP8SLwDgk3qfePHf93+iAZzNqM7uEfECAD6xd4gXw2zxv9FoTmMvAOAz++vxIuoUST8cjsQAAD6dvxwv+mtbtLoc0Q7pNKoTAD45V+0EACoTLwCAysQLAKAy8QIAqEy8AAAqEy8AgMrECwCgMvECAKhMvAAAKhMvAIDKxAsAoLLK8QIA4N+K8QIA4FjiBQBQmXgBAFQmXgAAlYkXAEBl4gUAUJl4AQBUJl4AAJWJFwBAZeIFAFCZeAEAVCZeAACViRcAQGXiBQBQmXgBAFQmXgAAlYkXAEBl/w/VsRX5OGyGCwAAAABJRU5ErkJggg==" alt="" />
--------------------------------------------
需要注意的可能就是余数。
AC代码:
import java.util.Scanner; public class Main { public static void main(String[] args) { Scanner sc=new Scanner(System.in); int tiems=sc.nextInt();
while(tiems-->0){
int t1=sc.nextInt();
int t2=sc.nextInt();
int ans=t1/t2+(t1/t2*t2==t1?0:1);
System.out.println(ans);
} } }
题目来源: http://acm.nyist.net/JudgeOnline/problem.php?pid=1082
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