基于visual Studio2013解决C语言竞赛题之0525拉丁方阵
题目
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlYAAAE9CAYAAADJfiwbAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAADizSURBVHhe7d2Nbhy5rq7hnXPjQa58ziJ2vrU5BClRKqndbr8PIHSVfkiquscW7Ezy65//+B8AAAA89v/+vgIAAOAhDlYAAACHcLD6EL9+/fp79X+yPm9nzSlP83TX7+zxSW1P9zVyM7aJ8bN8qzXs1ryyrpqr/lGs2dqRbE5n3Qm7ebrrZnt7us+n6ytP4t6qacXJGrqxsnmvfhaWL7ZM1T9zOt4MByv8i/2Ru9GHcLVVRnmkG+tdWI3+jyzG+tVeKctv7aan8W39yT/6GT9rVX23n8uns+eXte/A6jzx3242J8ZQ61qZ+ypxL6PmZePW7NnHVsnWx6Z5mar/JP7w+mX2Js4+JE/fgipG9gHy80brVmqazc/qmLF4Pq6uR7FiDVVdWQw/b5TDi2uyXCft1CWd+uKcbE1VQzbP+jp5TRU3M6tJ46Pcsb44d7TWVOPWH43i7KhqnllZl83xfaMYu/FPsLgdPvepWmZxnjyXnRq7a7J51pcZxdup0Typc0Zr4qvsxOz4uIOVPSiJDzB61darN+/Em1rtK4utvrgm6/NmNWa5Rrrz/bzqumJzIluTrV2NHT1d3/E0brV+VPvsXqp+MxrznszzfXY9YvNGc6o4Pme2XnH9PJP1PRHjdeN311m/Z3N8n9ZkfTKK7ddnc57YiXmqps7aak63htX6uvPjvGrdLF5nfJXiKfYshs8/muvjeqP6V3zUwUoPX/x9HHu1UW1PZHFNFvtVNcx052teVfcoTrbGZPNjPM0d6eY94VRdnub5eqs86hvFztbN+Hij+F6c53P7Vz9WsXHJYsZriX2Kk+XK1u+qYs1y7KzLxnzfbK2XrRmt36F4MXdmVPduTZ21sTbN92tHcVbrm83P6nmSf7U+WYm7U5/1ix/vxt3Bn7F6EXvT9AaffhOjU7H9B/JdPHl2s3V+3K51r2vfl/G12fWorfA5fQ269n0Zy9eZJ35efB3VrnW+jfoj/3yqVrGYNq7Yuq7W+LmjeV2KdYuv1/h6u/uMTuw7Uj61V/G5fG5d+76Mf052PWqR9Y1iG82Z1TFi67L8I6rZN/G1xFc/77SsnqxPVJPEuWoZ6/d7q+ad9lEHq/gGRLM3YZWP1YmrN3ZU52rMkZW1T/Ls0N5iy8T/IPxcXfvxmZW53f8Y4xxb51vse8pirOzjlJW8Nm9lr3o2o+Yp/upzyOpSnN2YUq1T7JXm18V6I1+/8et0nbW4LlONz9Z9te77GOfYOt9i33fi616p3+ZVz07ve2yzMS/WE+9H/FzfIssb++1eNen6ho/9iVX1UNVOPFDFV65ZXM0bzVmNaWxczeuu/Qram28dcX6891afi5+r69m9rrP8p2R5Z/di19V+d2mvKzFP5hfVof35uuKYl80zdu3vR2ytmpflM4q90vy6jmqdrmf3kfZRjcd+m2/32f5vs5zKq+vZva6zvZ2kHMr5Xei5xLqtPzb16zW2yGKqZfcjfq5vkfLamK+hqumkjzxYxQdpbj7ITmxfk71mHwRvpV6bq9ZhuZVfa+x1VtN3s/pc/Fy/NjY/ruubsrxZ8+Mm+8z5vidW4yj/iOobtYz1qxZ/LTG3j6VrP95hMdU+iX8WK3uzNZpvr4rzqudjeXz+qvlxXd/01c/lqVu1Wky17L6SzffN07P217rv2lljPu5gZQ8hPmCz83BOyWqy+1fUlD0L68v6veo5PnUr7qqqhljfK96jTo6duuIeTz33WEumMyey+bMW+TyjnNavZ+Zj+etTTsd7yvatlt172fOo5vr+uGbnGVR5umytz/sk1grLWeU68Vwk7u+2br6dumyNWnZfyeb75llNqstfd1k8rYuxZz7qYKUHIasPw+avrpmJNXk7b9hPo/dEz1D3em7+Xn0nveI92smxs8bm6zlKvI98DrvOYnTtrqvEWmbx/bjfV8bmPtnrO7E9qGX3M36tV/Wb7NlVc2+xfLP3+dXe4blk/HOy66zOTHeeZ/N9q/q8WFM2t1o3Ymt29jDzkT+xUvP0ANVOPEjlqF7NLE8c78S85fSHK7I9rOaw+X6N7tXn79X3lNXpW+zT/WmzmL4Gzc3uM9bffT6KF59p9xmv5HrCcvj9Vtcm3msv1m/tFfX+FLvP88R7oPdTLfbp/jR9lkZsfHePT9ZWLKbi+tjxvtKtyeaJcvo26hdfk736eX4s0pif27W7zvA3r39z9qZH1VsaPyDVB2b1g9SZvzNntmY0bmPRaO6sNq+aP6tnlmO1jminLm83v1/XiZHNsb4uvzbGGtWS3Rvrq+bGfqN1Xpwj2foTduN211X7Vl8V51T8W3bqXqlrJ76XzVvJ7+2uq/h4Veyd+lfqtLnGz8/6PD8ec+k+9j/Fweqbqz4onvUZ9eveWJ+/r2QfkxinktXkxfqks64aj2PZ3CpvZTZ/lMN086wa1ZXVFO3WGPPOcj2t0/h52ZrRuO7t1VRrq3UyuzfWZ2L/KVlOT/lXWDy/LtuT+rL8s5pMFb+z9gnlrXJU+5EntXX29iSXX9u1kkPxtWa2n6wem79bp1/XzevXxTXWr3E/Fu+f4GAFAABwyMf+PVYAAACvxsEKAADgEA5WAAAAh3CwAgAAOISDFQAAwCEcrAAAAA7hYAUAAHAIBysAAIBDOFgBAAAcwsHqAP9X6X+6n7RXk+33K57BKOdX1vg0z+06q/jdvK96jgA+B/+kzQH2xfenPMaftFeT7ffmM9A38pWc1diof9Vov6PaTMzn547W7tYZY2Y5Znk1NpoHABkOVgdkX8gz7/yoY81Vre/yjWZWx4k6qxjxWZknuXy8Ks5oP6M6V+qazfd1dlk8H1fXo1grNZtYd7w3nTmexmfzACDiYLXJvuBmqi/GX/UFOqszq8PXp+tsrXdzP526fc3eqD+q9lDNzWJX+VbFOFkNolq8rM+b1bi6j+58P6+6fiLGyeJ25mRO1Qjg5+DPWG2yL7b6guuvb7Ev8N0Wqb7VOuM6rfXXN/m8WT7ri/u1+2yu+HijeSbOm8W+wef31yaO6bVqX616ftln1rPxrK3o7L/KkfVbu+XPnz9/rwB8Rxysvgn/DXLWfhLbr77J2evN/d+K7b9R++tTTsc7wWpaeZ4217cbYg7lqfoBIMPB6k34b6j++gTFm8XM5szW3KR6ZjXYNzqb0/mG1405Uq31sbvN+G/W/nqHYr5K3I9axvblx/xcXfvxr2a1rL4XO3vgJ1TAZ+Fg9cDOF96K4ihm/Cb0hOLNYmqON1tzk+qZ1aBn1qmzG9PYuJpXrfWxuy2a1VTZXfdUZ0+ZOD/ev5tbz5dDFfB5+MPrD9gXWz2+6lqyvijOiTG7RnmqOmKuUR2j+Ld06jYr9Y3mzuL6+5WcFYthLI7iqS8Tx33+WE+8r3TnSTV/lD9bM8s7WxPHR2Mm68usxl1VHap+//799wrAd8TB6iF9gZ190e18IY5zOmtmujF9/yjvbMxU4ytinixvVUu3v5pnnszdYTFMlbO6NqP7ODZyau5qPbO8Np6pYuq+ijsbN9mY7xutXaHDFYcp4HPwq8CHZl+gvxPbh7XvYPTM9Z58F9VeRvv7bvTZUu26txbv1efZuthGLEY2x/fba5arMstpqvorHKiAz8NPrB7SF2r/Bbv6wjp61H6N4snTt6gTK9bfmZeZja/o1L2qGzPuY7SvU3vezXGqtu7c2bw4vjp/VTdf1t/ti0Y5zGw9gM/FweqB+MVV99kX3eoL8Xcz2sen7NHYXqLb+959ttXYal2d+TtzZmtW64w68U01x6/v1PK0XgCfjYPVpp/2xVXfnEy27097HnE/2f70TE7te/QMR/mNjfn7ShY/xqmM6jOKk9X5JG5lVndVT6T8nTrNTq0Afg4OVgAAAIfwh9cBAAAO4WAFAABwCAcrAACAQzhYAQAAHMLBCgAA4BAOVgAAAIdwsAIAADiEgxUAAMAhHKwAAAAO4WAFAABwCAcr4BL/b9kBAH4G/q1AXDP7R21XZIeUE7F93NP/KdzaP//JAsD74idWOM4OAdlB6Ck7UPj2lA4+aidrPh1rpc4/f/78vQIAvBoHKxynA8BPpYMQAODn4WCFb8MOLGon3Dj83DhUKZ72HuPzEyoAeB8crPBt2IFC7dThSm4ciE7L9s6hCgDeC394HdfcPKycjH0qVoxza/+KWx2qfv/+/fcKAPBqHKxwzc3Dz6nYpw8/Fi96Gn+0dx2uOEwBwHvgV4H4sbIDy1MWT033N3GgAoD3wk+scNyNn9oYH/d0PDn1n8PNWvlPFgDeFwcrAACAQ/hVII769effPwW6fQ8AwDvhYIWj/vn9z38PP/Z6+x4AgHfCrwJxhQ5BcvseAIB3wMEKAADgEH4VCAAAcAgHKwAAgEM4WAEAABzCwQoAAOAQDlYAAACHcLACAAA4hIMVAADAIRysAAAADuFgBQAAcAgHK+A/fv3i3x0EADzHP2mDK/xB5dRH7EZMsdgnYmYHtJP75z9XAHhv/MQKx+kAoJYdNlbdiCknYxlfp7WnrL6VGv/8+fP3CgDwahys8KPpwPbOTh3QAAD3cbDCcTcOAYqpn96cyHHrUKUarb0CP6ECgPfBwQpXnT68WCxrrzq07FCNr6iTQxUAvBf+8DquOX2o8p7Gjutv1XoyboxVHap+//799woA8GocrHDF6YPKjYOQxYhOxDxdp2SxdLjiMAUA74FfBeK47HDxjqxGNd1/NxyoAOC98BMrHJcdpE58zHzckx/b03FvxhP+swWA98TBCgAA4BB+FYijfv35909Xbt8DAPBOOFjhqH9+//Pfw4+93r4HAOCd8KtAXKFDkNy+BwDgHXCwAgAAOIRfBQIAABzCwQoAAOAQDlYAAACHcLACAAA4hIMVAADAIRysAAAADuFgBQAAcAgHKwAAgEM4WAEAABzCwQpX/frFv+cHAPg5+CdtcJUdrE5+xE7Gyw59J2L7uDdq5T9ZAHhf/MQK12QHl10W62Q8sUOKb09ZjT7eiZpXY/758+fvFQDg1ThY4QodBk7RoQIAgHfGwQrHnT5U3WS1qp2gfSvmiecwi8FPqADgfXCwwo9mhxa1U4crcyOmiYc1DlUA8F74w+s4Kn7jP/VTGzkdz7sR+2TMGKs6VP3+/fvvFQDg1ThY4Tg7AES3DhdPxFgnYt+Iaao4OlxxmAKA98CvAnGcHQDUdI992WFNOFABwHvhJ1a4xh8Ann7MfCw58dE9WaOcjnlr7wCA8zhYAQAAHMKvAnHUrz///unK7XsAAN4JBysc9c/vf/57+LHX2/cAALwTfhWIK3QIktv3AAC8Aw5WAAAAh/CrQAAAgEM4WAEAABzCwQoAAOAQDlYAAACHcLACAAA4hIMVAADAIRysAAAADuFgBQAAcAgHKwAAgEM4WAHfyK9f/PuIAPDO+CdtcFz2zf/Ex8zHPfWxvRHTWNwb/2ndigsAOIOfWOEK++bv21M6UKj5A9GuWzFPxMmciPvnz5+/VwCAGzhYAQfpkHaaDoEAgPfGwQpX6Cc3p356c+NQoZiq810PLk9q4ydUAPBaHKxwhR0E1E4druT0IehWnV+NQxUAvB5/eB3XnTwInT5Uee9YZ4zTjVsdqn7//v33CgBwAwcrHLd7GJg5FUdu1WlOx4o6sXW44jAFAK/DrwLxLWSHoJ/C9q2m+w4OVADwevzEClf4g8+Jj9juT21mvkud5nStAIDzOFgBAAAcwq8CcdSvP//+ic3tewAA3gkHKxz1z+9//nv4sdfb9wAAvBN+FYgrdAiS2/cAALwDDlYAAACH8KtAAACAQzhYAQAAHMLBCgAA4BAOVgAAAIdwsAIAADiEgxUAAMAhHKwAAAAO4WAFAABwCAcrAACAQzhY4dv59Yt/IxAA8J74J21whT/8nP6IWeyTMW/EkxNxs4Mk/9kCwHviJ1Y4TgcVtexgsOt0rJPxzK29+5jWRv78+fP3CgDwahys8G3o0HJK55ACAMAKDlY4TocV/UToxOHl9KHqlls16llai/gJFQC8Dw5WuMYOGdayw8BPcPIwqGcZnyeHKgB4L/zhdVz39IAR1588sJjT8cyNmKLY1aHq9+/ff68AAK/GwQrH3TgIWYzo1Ef39CHodjx/r8MVhykAeA/8KhDfgh0k1HT/jrJD0E0cqADgvfATK1zhDxQnP2In42aHnneMaW49TwDAWRysAAAADuFXgTjq159//8Tm9j0AAO+EgxWO+uf3P/89/Njr7XsAAN4JvwrEFToEye17AADeAQcrAACAQ/hVIAAAwCEcrAAAAA7hYAUAAHAIBysAAIBDOFgBAAAcwsEKAADgEA5WAAAAh3zUwSr7B3BN1R/trO/GzmRrZ/F2anzqZmx8rZ339sTnYTXG05xa/yTOqRp2rKzN5s7WV+NPap65GfuGnXrjmm4MzbPXqkXZnNjwGh/3F4TahyfbUqe/cx3FMbvPZOuzuKNcJsbX3CzvKE5XrCfLY07k+omq55mJz1hrrf/J+xLf45HVuZ5fN4sTx1fyZvz63VhaZ6+VWdxu7jhvpeZs7my9jXuaG/tNt46RWE+Wx4zqmDlRZxTrnsn2OVvv51Tzs/5Z7E5unPHRByu7HvHz7Dq+SrwX31+tNd0+Y/3RLIe/r+LuOBnrO7v5HLLYoz57FT9nJU6X1u6smclq8+L4bP7MyfVVrKzmrhgvi5XljEa1RZqnNaOcVdwdJ2OZ0/GMxVxlNWTrfG2d8dl8iXvu1BzXfJr4/L7Kj/knbaoH3vngxjm+P15neWJfjGdma7MYszVP+Bgn4kWrMW1+1F3v1+7s40mts3VZ7E7f7N50+2a6azrzbE7Frx3N83bWyMpz8Hur9ln17zi1fxvP6lJfHKv6Tda3ysc4Ec+ciuOtxqzmx/5RXD+m625cM4ptZuOV1XU2P+qu92tfXetOvsqPOFj5h109+OoBV2v9fDOKH/uyexPXmSzeq52sQXs1KzF3a4jrVuOo3u6a1XzZeKcvu89Ucar5MspV6c4zca6/z+J0Yo/mdNZXbK0Z1Wdu9ldzvTjH7s1K7lc6UcM77GMke0869WqevVZinNFcWXlWPt7qupX5EtetxlG93TVP8418zMFKD9WMHlb28NQXX/1YvPbinIxfF+NUcU0ndlTF2rGSfyXvaM+Z1fkS163E0dydNTJba+NdqiXq1mY69cTx1RpNtcaP+zz+vqoh9kWjObP4Fc2N6yud/GZUQzY2mi+7Oey6Y5Z/xUr+0R7MybqizrMZ5ff7NPE+05nzSqv17Na/86xEc3fWyMramR/3Z6ziduP8uNbu1e/HJfbtzPH3nXheJ/YqX4up8s9qG1ldG/dxO6+ft7NP1Ttbl8Xu9O3UZEZxqpjdXNm8bkzdd+dnbE6kNX59J1bUWR/77X6Fre3GzmT5dT8ay8zm2/0qX4up8s9qM5rj52brlGvFKHe3Ns/PH40Zjat/VH9nTmW2B8/ir873VtZ63bx+3mqtRvXu1pn56IOVN3v4ozdEY3FON062LqrixuuOmH+H8vr80WhsZnVtnL+Te2WNn7uTS2Zrs/FOn90b9ek+6sY2sV+yNZkqdrY29s9ydGoYxayuuzrrY/9Onkonls2JqnridceJvSivzx+Nxkys3c+drX1qNf5KfRqb5ejW0J03sxonzt+pY2WNn7uTS56sjX7EXxA6emA2Zs1f635kZ41n9ait8Ou0Nut76lScU57WY+9PN8bK3BP8Z8ha1Se6txr9tWrWte4jH1frTdVv4ljWIutTDdn4iI+rtVnfKltXPZd3ku0164tm733Fr9ParO+pp3Fs36MYNlY9mx0nY83Efel9js2PefH+q9x+j72Vua/08Qer+ODjvV3r3l/PaK5vYjl8W+VjRVns2Kf+T/JkT7Z29EwjmxufZTd/d56nz49a1ZcZjVVibMWI954fq9qIja88myx21neaf8+/UrbXrG/FaI327fcf+9T/VSx/Z98252at/nnczKP3OTY/NvOqWr0neWxtZ19ic+P+uvk783zcFR99sLIH4t+keC+zB6c3r/uG2zzfTokx/Wsc+47sGc/ei8xoXXzf/LzRuvg8Y4xq3W2W19civiZd636VrctyrBjVciL+Ksvn8/p6dmhPvn1X9kzUdK/XOPZV7Pl+dQ0yei6dz0RnjszGZ0a1PtGpPTNaZ/2+Rj9vtC7uL8ao1t30kQcrPcj4gO0+e8h6U/Qm+HUdWvcKuzW+C/+s/PWMf3+srezfr1ulNd21K3XOxjPVfOvXmK7j3G6+zpwZX4Paq2TPXvf2OtKpU/vJ2neVPbN3slrXV+1DnwO1TGeO2PjsM3uLPhPxekY1q8326Pl1q7Smu7ZT50rt3kcerOLD8A9NDzNSXzau9b7frtVsTPG7/PqOTi4/512pft/EX2eyNWa0zq9RE39d2VmXrfnu9NkatRl7Hjbv9nOJz97nVA2VV9R3k9Wv1qG58Zl5fs5Poj3b61fqPPcbtVq82MRfZ7I1ZrTOr1ETf13ZWZet8XY/9x/9F4TqQxa36B/WbE58sPHeU6yKzzmLqVhVLhnVc8KoNnMqd3e/0XdZF1mcTgzlM36+X+/nZGxela+K71Vro9m8bFz51e/r6bK1Ve6V/mqu0Zi9zmheFWukEz9Snpgzq0HxZ7Xt1t81qs10c9+qM8b1tVWyOrI4s3qrOb6GUUw/rzKrYUTxV2N8l3Vi67fX/mfh3koAAAD8y4/46xYAAABegYMVAADAIRysAAAADuFgBQAAcAgHKwAAgEM4WAEAABzCwQoAAOAQDlYAAACHcLACAAA45PrBSn+tfFT1n7AT+yvqlG6OWzXaerV3sLPPnTVP7cb263ZiPNnTq/PJV+WVk7FuqWoc1b6z5qkTsVdiZHNn66vxE7Xf1N3rq/axkudpna/a0ytc/ydt4sNSuuwhnijF4vo41ZsVc2ldNd/rzotG+4t1Z6o5sT+bN6p3lndFlcdyzMY6e6hqjbE1L8tZxViR1ZvJcvm1MU5lZ01md21nnc3x/PzZ+rh2JMatrOR/qqrDco7GvKrGUe0xtuZlOasYK2ItWR4zyzXaU5TNna2PdWluVm+3jl1ZTpPl7e416/OqnF4Ws+tJ7Z4fn839Tq4erPSg4gO79TCfxKrWrvZXNN9eVylPtlYx/Zysrqr/tCyP+nbHJJtjqhj+vlq742msWFcl5tC63fyd9aN6Korl4/pclaoGGdU5E9c+idWRxVffbGyVYlXx/X0ce2I3lq3rivGrnFnMuOe41t9XcW/q5BzV7Fl/dGM/3eekeVldUYzn197Yw1e4drCKD2n08E48UB9jJ15cX8niruRbrS3WVeWXKvZq3l1ZHvXtjsnKnM7cHT7GTrxs/Wqcp3lNN8ZKLj+3ul6xu87EtU9idWTx1Tca86r5nfXVWpP1rfIxVuN1a4p9dh/Z+GhtFmO2ZtXpdb4/Xkc2lsWpYq/KckZZnir/Sl2n9iCn4624/qvAr7D6Znq2rlo/6h859YhX6op9sxq9J/VWeSzmqM5sLOrMeaWdevyazt5tbEUWp4o/yiudOaK5cU3VL9a/SnFGa7MabqnqqPY9qud2rU+t1tfdf+zL7k2WO4v3blS/qF5fe3VttD7bZ5x7SidurEv3mc6czI293XT9V4EdJ0vwH4RZfp+3uy6r1a/tmtVmYsysRrvP8se+bM4No1pWx6JqjvV3zOKv8LXM8sd5dh/Xr9RWzc/6Z7Gfjnua69dU117sr+ZJJ2bUnbcri6++2dgqxequjbmf8HuZ5ffzYg2dvtm958fsuqOKdcNoL51rE+89jdnrqqfr/Kvx117VL7vr3tHLf2IVH1J2v0rrtbba0ugN8mPVvKx/FPM0yyVZHZGf86o6R89odSzqzJE4N7tfpfVaW9WS1am+aixaiS1+TDGVs+LHs7iztV7M38kd+RiS9clozOvO2zWqezQWPa0zrs/uV2m91lb1VbVn/Z2+0f1sbrQ6P2NrZGdtlb9zbbpjXneel82ZrfPjdl2pYoziz3JHPv/KupM+5idWevi7b5AfG9Ud14/melXep0Z78jRvVu/TOqv4yh3j+7pmuas5Vc5oFr+jU+/q2Gh+5OfGdZ04K7lMNT/r932z8YyNZ2ZrRuPSnbdrVHuWu9s3UuWMTuxbtY1qrMay/k6f3UdxXPfxuiPm74p1zmj+qN7qOtKYqdZ5sb+aJ1lOM1pjdmrxRutH60Z2151w/e+xso35VvU9dSqOxBqr+Nm82Dx7s1fbaVmN1k5RrN3Y2Z6tbxTH59K8rO+pU3FOsFpufD6+Snyv/LWp9mr9WXu1WLevfUb1xj34lvG5lC/re+ppnGwvWV+0uw+/TmuzvttsXz6/9trNr1q785+K+WLu6n2KtE/fuizfyvx39JK/IDQ+3Nin/ndyq0Z9UP0HdnSvvqwea7OxE3biWd07Ndga7TlTxVSNalmf+r8rq3/0bCpx//G+YuM7+Xb4mlRX1edZfVnr8rFPsNwr8ZRfNfs9+FbRerWsT/1fKdtP1rditCbbf+xT/02xxp19VmaxbH8r+bJnU/XNWN7YKhZvNP5Kfp9PXD1YxYfqX+PYO/APNNYY69QbMGunZPVYm40Zq8Pfv4JyVs8gez5Vnb4/i2l9arrXaxx7V3oevnV09hWfQbw/SbUrdtyPv1ef8TWpZf3vzvZkdfq9edW+d2it1vvXOPaVujWcqjXu3b/GsVfT58P7qloi/2zUsv4Ofc59W9HN865e9hOrd31Qvj5r+gCo3zf1G82ftRGL1Znz1WY1Rn5f9prtwfrVxF9L5xkZm9ed+470LHzzXr233Xyxdt2rz9+rTyxnRWNxzVMn4/lnZq/Zfqxf7QTL4fPif914LooZr7tO1zPSzRX3MNqTxjpxbU5smVc+k45TtVw7WNkD00MbPdSvfrCxPn+v63h/wqv2neXRc4+tYmMrtca5nbVVjdla61O9fl6VZxTrO+jUfnJ/X/GsZjltzOacdnKvMc5OXKsna5H6LUeVx8/5rrQHax1+z6efi2L61rWTz6hWa11Pco3W2dhKHTOdOnf3sutUvi//6xZOy+Jbn3RyVzWu1q68fk3WF/l6zWzuak3V/GxsNf5IJ5bNMZ15ozkn685k8VW7qXJX61bme8o5qqXLYuzmM521nXXKYeL8Tg7TWTeLdUo3z2jeiRgnZPGtT7q5O3XGOaPcq7FeqbtX0dy4LoujddWajM9lbH6WS7KcVV+MncnyRYozmpPx+XfWrq6pfOTfvA4AAPAVrv8ZKwAAgJ+CgxUAAMAhHKwAAAAO4WAFAABwCAcrAACAQzhYAQAAHMLBCgAA4BAOVgAAAIdwsAIAADjkbQ5Wnb8Kf9VOzFetyazEyebeqsPuZ+2m1fjZ/FmMavzd9pa5XWO0mi+bvxLjlft7Wus78XXbdbdFWZ+p+s3uWGZlfjZ3Nd+unTynnoX6R/Fma1/tZj2n97Qa7+o/aTMqJqa1uadLWY05e3hZrJijitGpY6XebO5o/UpdMc6srqqWjM3r1OJjzvJHVT2jGLEmnztaqWUk1pTlMrN8s71JFd+LcTprpKohq29Wsx+fzT1ptVYby9j8bOzpPkb5opW9VP1mZ405lavbZ1bmnraaZ6euzr6fXK+Ka+2+EnNkebvxZvVmsaOntY5cP1hl4bP+1cKj0UOq+Hxa363XPKl5pd6YY1RP1F3rxTmzNdn4qO/E/JFufKny+PvR+h278Wxd18l6vZXaNbdTd4zp197ai1flyWqvavXXMV4Vf0cnVjanWjeKtxLH83PsuuLjdHN1+0yWO5v3hHJXNUhWS6WzF80Z5Y21xbmjtSOzdavjO3XYmlXKUeXL+ldr+9JfBe48FM+vt037lvXFJnpo1mJN1QP1/XFNl3KqVX2ectmrmu5na0cUp+LzxXbL6h52WP3KY6/aj+83fuwpH3snpq31reo7xWr0reobyerL+rys76mqVvXHPdnrrM4OxblNdZ8Qn0MVu+r3+43PL94/Fev09z7XqXyechh7Ve6Kr6VqI35O3Ktv6hu9it2rddi8UZ1+3Mes4lfzZ/QsYpuNdazUEb3sYPWkyEr1kPybJKP8fq5d21y1KkfV/wqWW82M6sz4/XX4fFXL+DzdXHGN1mX91p6Ktes+21O1z1Wn4ryK1etb1RfF9ye+b/He+D4/lvVbW1XVauJ+LP5ovvF17Na0S/lu5dTe/TMxls/f2/WoBl+n5mV9T6lO1WZxfZ03ZDns/tSePOXyse1e+XWd9Xm+TzF1H+fuiM/ErmfP40TeJ2b1reL/CnTs4foPmj4Qo4eu+boetVu6H0qrwe/tNp+rmy+u0bqq/4T4PlXtNIupfcRcsT2RxZu10brZmLHr7D3y75+aV41X/Td1cvhaqrqqZ7FL8ap8N+k9tlff1KdX3+/r9HX7fs+vV4ysbyaLfZLV4XP4uqy/qlN7GLURxVZuXVfr/NzRvC4fL1Jse/Wty+b6fY3aO/uWB6vRw1194D6WvaHxA6M+P0/8tdFctdh3W6znKb/nbjvNYt5+dv49Uov9mbj3ThN/bXwu5Yv3u3wcxRrdZ33xftRn/LUXn0d8DpGNV7FWdPNldtZ4Vr+P4WvptidiHH9f9Vf0PmdN4r1Yn8+l12ytb6P+jtF+KrbG1+hj6H5Wg43HtcbvoWqR8sVYM1mdirMbc8Tiqfn7jliHj6UY8d5oL76N+l/hWx6s4oMVe3DVA8/ujWJl8bw4z2LM1tyS7cNYPbFPVG81ntF+1bK+2DzVqPZUJ4bNsTr83KzPs/7YYn/G77vbjMXT9XeQPY/dPfhnodalOnZ0cvm9ebauyu3nZ2vFx1AtK00sht1XeTIxjr+v+o1ydY3m+r17K/FnLIeaZzli34zqsnV27WPovmNl7ohi2KtqMv5aY142z9i1v79tlivWt0J78W3U/wof86vA7I2JDzTee7Z+1rwsxqosftYXjfaRsTiaa6+K3V1vVucbn1PtCVtfPZNoZa7xNVqr+k54Gkvvn1rVd0p8Bv7arOSLda6stZwr81dpX35vM37+6tpVtnefS8/vVk7liJQ3tpEqljcbj+J8y6F2yslYouc1ahUbU03+Wuzer/fxdO3HT4s54n3l5HP2ub/KxxysTrwxFqNqN2Q5sr4V2ZrYtxrXf1CrVrFco/ERW7fzDHb4vaje2Kf+r2bPxLeqL2N7GI1H2f6rvo5Y56gWizkaf6V3qDPmeFVOvc8+n137NqL11bXub5rV+Erx2WUtY89JY/46sn49Ux/PXz/h40fKoTzx/jb/XOy1qvO2qwcrbVCb9W+2f/2Junu/8Yz8h09GeWxs1Ebiex9ZfzWWGeWL+1Je9VV1WL+a7vUax75at45T9fr9q2X9XXq/fVuxkuvT2bOLz2P0fLL5HU+fua33repDLb53s2fmx2f/jdnc3c/Gqps5qv8eqv1rrtZpnvpjrBXXf2LlN+uLx9fw78dtnffe+tW8V9ZpLN+rc75ad3/xfYr3nsa6z83mxZY5/V5YPNXqr5/q1Kl8p/dzMt6IctnrqrjG170T71VUW/X6avH5V9cm3ttarbem5/9ErKeinJ25T4z2NarVr+vuqePqwSrb7MniRyyHb1WfF8d9eye7ddn8+H7clL33HZ0645xsTdZn99Yvdq15ca74Od/Vbv2zdTZmc07q1Lq6H5sbW2Qx1TpiDVobY1f5dmU5ZnbWmGqd9qpW8WtjLLuOa31MtVG/NxpbZbWpZfdP+DqrNmN1aJ6/NvHeVHON3Wf9M1UsNWNz1G5Qrll81aq6TLZO85669k/ajDbrx/wmOqV05o9yV2ZrqvGsv1NjplN3nDPKP5sXaZ2ZzTVZno5RLbM6uzk7cZ6Mn5Dl0P5MN/+Jvfi8xubHdaPaqhzqj/EzWc5IcUZzdsS8WR2ruWd72dGJqTqNze2uiXOqdStzZSVWl18b42Rxrc/s5pvp7KUzx3T3o75qvr2aam217ibVZKq6vNH8ymwfo3E/tpPbXP23AgEAAH6Sj/m/AgEAAL4aBysAAIBDOFgBAAAcwsEKAADgEA5WAAAAh3CwAgAAOISDFQAAwCEcrAAAAA7hYAUAAHDISw5W/q+Fl6wv6sypxLWzWLs1mmrear/p5nyFTi07e6ycjNX1XeqULEe374aVPE/rfNWebuo+g1ft9enzf7p+19Na3s2J2qsYr3gup+rvtijrM1W/2R3reMk/aWNFxjRZnxfHq412Y6zmk9G6qqZMjLGTz8zGT1KubJ+qYXcfmZjH54hWY2dijVkeE3OdrrOb18SaTbfPq3J6WcyuJ7V7fnw296uMnktnv90+b5RTsphdWe7dOjU+m7tit5aMrcnGntY6yhfNavequTGf5uzu7Wn9VZ0z1bpRvJ01ZnfdzFserJ5uSnycWcw4tzKrq1v7k3zdHE/EHFXObr/dZzRH87N1cc4Ju7Fu1tlZN8rrWX+0U9NMd6+al9UVxXh+7Y09PFXVlfU/6buhm0fz7HWm2supPVVxstqqeeqvaqty7OjE6uar5qk/jvv7bo6os66as5NzJ1Y21snt59h1ZRYners/Y9XdaMWv6TwMm681utY6e1XTfaQ1alVf5GNlefx9ZP1V3FfJ8sc9+2vj9+X3ZnN0b69+vZ/nx57wcVfi+XU7dVqf2opqvvpjXHu1Gnw7xefy+WJfJasr6/OyvpFYz6ym2746v5c9l6yvkr1XWZ+X9c1U9eg+jtvrrI4uxbpNtXdVdfl+e1XcON+PedantqIzv8p5iq/bX0dVf3w+atn9irf9VaDpzMns5But6dbRnefZmpks5k6uLtXk4/s6rV/5szp8X3feV3lVDTFP9Tw8jfu51bXR+hjXxLmndOLGunSf6czJ+Bpu7bXi82XX1bh0+27o5LE5xu+h0pmT8TXEmvx9NmZ8n1RzI5szyvFUzJvl6eQ8XZeJMbMc1udlNY9qG41lqvmdfl1nc6v1xsZmqrWZb/FnrGab7sTu5pvlMt15UVzn66nqq/rNaGyXYvrY2XU2T0bzvTivI8Z4YiX/0zp9LrNy37k28d7TmL2uerrOvxp/7VX90l03i3Oaz5ddV+PS7TPWv0o1rNI6/2pGtWX90l03up/N9aqxLF58PSXGy3LH60xnvCPGiHFX7qvrzGzcq+Z2+u16xub6eT7mau7K2/4ZKzMaXy17tma1xmi1plG++FpZzbnCx86u46s3mu9lfV4cz+5Xab3WVvlntXmzOjOzNf6+c226Y153npfNma3z43ZdqWKM4sexGH9U1wlxb/G6GpduXybO66zbyefH7bpSxRjFX83t53bHvGxNFceuV/mcPpYZ5fHzotl4ZpQ7sjETx0cxqutMZ3zViTqy+eqLryuu/xkrX5xkfbKzCWPrRi2bE2V9HVrnY/s2ozlx3zvP4avZXk69f7E/sjyrzVgsXa/y9ajF/hmb4/PrvrM2Us64djfejGL6vNZWn6fNj61LNYz4uJ35X0XPzteY9Z2imPbqm+VboWfrW5dq6Mhq83V7Nm8U26/J1ouPo72tNLEYdl/lOUn78S32j6h2P8+uX1W/8luL91W/UY1do7naZ5yzEl9e9ofXrbjOG7SzCWPrqlaNG6vJP1Ddq8/f+37RfYyt1mHzYtx3YXXt1qe1XXpmalXfU0/jZDVlfZn4TPy9vdr9ynOzeWqvEPPF3FZ7h/bpW5flG8339XwXsz2dovdLz8hfm24Nes9867J8nfk2x9cmqjkbG/Frdtav8LXbq57RzZzak1rV1/EV9e9QbZHqjW2kirXjR/3N69lDs4fpPyz+XtfxXiye7vXGxTbj52XXuo+s39cyM4o14vfeyal5O1SjWtan/q+U1RP71O9ZX3x+s/snZrGyekb83qyN+mYsb2wVizcajzr5ja/5O9p5Lr6N+mb8+6ZWsXij8czOGjNbsxt3VczxNKetn70vNu5b1qd+ifdysn7L8XT/I3o2MY9d+zai9dW17ruuHqysmLhR36f7m3byxTk+hsQ+u87aTDY/63s3o7psLHtmI9qr1vjXOPaVYi3+NY558XnEz5hkzy2L9xW0N9+y/g7bZ2wrunleQbXYHuxae1F/Vavmi9b6davPZcTixZb1d1hdsa0Y5bFYfnw19juKezLdZ91hsdR0r9c4tuN2/ZLl6Xhai633rerr+uifWFUfhtl/qHqQNq96o2Of5sY2EsftXnFHa/28rtX50UpOzY17sHvfIvU/rfW23Tq1zlpmJ+aubq5Ya1W70Vgnrs2JLbPzTGy+rVOr1q/GHfF5lP+m0b68WMeoLo114tqc2DLdOiNbp3ZKpxbl3Km5ciqexRg9j53aFXO0djWm92TtCuWx11Vxja95J565drDyxUnWt/swRixelks6ObVec2fzNTe2ET8e67XrLGec17W7zqys9XPjHuzeN7E5Wuf7PT/nqzypU2t883b3pnzWup7kGq2zsZU6Zjp1VnOsT62y+xyiLI7dj55FtqYbJ5vXMVuX5XqiU2c2x+5j82yNWlfMo/UxdpbviSzHExYr7tvvpcrl50Ral41VazpW1+7mqtZZv28VvzbGsuvR2spL/roFEwuO4ng2328wi6XxzpYUP8YcxdCayMfIzOoZxZ2t7diJozWj2kTjp+qV0/GiLH62r5mndXbWZ3XFdVkcravWZHwuY/OzXJLlrPpi7EyWL1Kc0ZyRWfyuURw/pnpNNn9Wj8Zn84zPZbJ1fk6Ml+VQX4ydyfJFijOak4lxszw7sWf17ujEVK3mK/KPvLL+bq44p1q3MldWYs287GAFAADw6X7U/xUIAABwEwcrAACAQzhYAQAAHMLBCgAA4BAOVgAAAIdwsAIAADiEgxUAAMAhHKwAAAAO4WAFAABwyMsPVvbXw+Prdd6Has5srY3P2k2n4+/Ee9WaaCVGNvdEDSbG2Y1r62YNAN7J1X/Sxr7oxfDdPpwxerad5z56v6r1s7ijdTNZLV2jmkZm+4lmNVV79/1VjFkdK7Vmc0frV2qKcfx9Fces1GNm4wDwaj/uYPUTvxBXex71V2y+X5fFGK2XLO8p1b46OrVHPpfWZ/mrunbrXak1xh/VEnXXenFOZ01mtm43LgDc8u0OVjZXdkpf/UL8JN+TXLKzx0h1ZPGjTr7Zvp6Or9rZV7Ymq2mlVj83rqvijNbMZPM7fXYf2fhuPPH9urbXKFtbydZHK/EA4LZv9YfX9cVarfNF19uZv5PP5q3mEp/P2gmKE2Or+THRHnxTv17jmBfHfTvN70V7yPqi2RyrNfaP6vdz7drvOYtvqv7bLK+aGdWY8Xsb8Tn8dZfWjNpNf/78+XsFAD3XD1b+C7C+CGd9t1me21+E5RVf8F9B+/B70bV/9eNGfaPmxc9Dp43WzcZuUy6/31l+zdf1qN0Q35OK5ff7WhX3kjUA+M6uHqz8F2D/hbjqn+nOi+yL9c5ardEX/N38K5TL2lNVLH9v16f25fN1m7H8vsW+eJ/1xftRn8Q6vKxvxMfKcqnPzxN/bTRXLfbdFGs5QTHt1e9De8n6bO5qO4GfUAF46tv+PVb2hVRfhG/TF/xTX7xHlOtEPsWJurFtjlqH8sU2G3tK9fl6rc3i+zoUw8S1PmZ2b3yskTjPYszW3JDtwVgtsU9UazU+49fGGPHe5vqW9cX2FIcqACdc+8Pr+iIcrfZnnsxdWRutrn2SyzxdL1WcTvxsjvq6cTt5vCfrs7md9Zrj5+7EsvGZbP0objXWySV+fYw3utd1Nsd012XrY3+cI1X/jK0znbXVoer3799/rwCg59sdrHa+yOoLrLeTazX30/nZeuszT+tQXzZm/Ljxc7prRTG8bJ3JYlZ5TBa7Emsa3ZvVWszu+GjdyppO3+zeWxnz992x0RpjfTNxjZnFzehwxWEKwBPf8v8KFP9F1679vWdr1HQvo3Ujr153kuX3z2JWT2fOjMXw7ZQYV7Gzvk/T3deN/fvPkDzNY+vj58z6Ru0kDlQATvhWP7GKX3SN1mhsFMOv767L1pjROr9GnubzbE41lvHzq7XVHF2P+vyYmd1Xqnmr8f19FdPYmGRzsrWjeGZ3fLRuFtPrzI1zVnM/yVH1Sye2N5pvY2YlHgA8dfVgteppKatflOW7rDOrazX/VK3+Pos96hsZzYljs9ij+StsXUfMNZPVMqpxpf7O3KzGbu5uLd113XiVp+sB4LSrf/P6iidfIG2tWV3/XdbJ6jOK85V/RPP9XN8X82ue9e/my+JGMdYsX4zXyRHdWFONZ/3WJ906OjXHOaPcs3mR1pnR2mpeV1YfALyDtzlYAQAAfHff9u+xAgAAeDccrAAAAA7hYAUAAHAIBysAAIBDOFgBAAAcwsEKAADgEA5WAAAAh3CwAgAAOISDFQAAwCE/8mDl/zkNf53ReDVvtd/Mct5ieWPDPTxvAPh5PuaftLFvWtpK9g3Mb9PPNfHei3HtOusbXUdxXqVav0o5snijMezheQPAz/UxP7Gyb1T+kGL3aqcoVsxl7H43l+r07RTV5WNmzynuB3vi87Z7NcPzBoDP9lG/CtQ3M4nfvKpvZtk3QbXYr/vRq9i9mr/X9Vf4qrxP6dn59u6sRh2kvtNhyj/j71IzALyLjzhYnfri778JqsV+f+/5PqvH3/vX2Gf8NzG1EyyOz2PivVj/qbwjfo+zFlmNvr0bq7lbl83L9niSf5azJnbtn3Gnzj9//vy9AgB8xMFq95uUvqnsrrW8Zje/6BuYj6frT+P3Omvfnd+D/7y8in+WswYAOOOj/ozVquybig5ao4NS9k3S7rVO1zcox7vy9Z2uVfFOxnwFqzd+Xk7wz+LUc4mfXbuOtfMTKgCofdSfsTr1jcW/ZjQWv+nY9WidF795qWX330l8NtZO7UPxTsa8Tc/hBsW98awtThaLQxUAjH3MX7dg9A2m+yqj+zhmrC+TxYixpIof75+oYq32rxrtya67RrWcqvWk0b4zJ/YwymnXXX5NrEl91aHq9+/ff68AAB/591hJ7NN91S+ze/H91ZpsbWfdKbP8cjLvjT3diHmDr8uuIz92ov7TzyVb7/t0uOIwBQC5j/pVoKdvBvYqs284fm7Gj8/mKvcsp9hcxfTX0WgM78Xe+9i+Ow5UADD2ET+xsoNG3Ibvi+PZvfHzxfo0P64zca2XzTdZvDh3tNZkY5XRmp14I4pnLGa8f+JkrJte9bxvPWsfx7zzswaAd/ORB6vde3sVP240FtcZra1iZrHiWLX+JIsZnc6B/8PzBoCf56P+8LoZHUj8N7qdbSu24sQYftyPxXUS50QxPgAAeG8fd7ACAAD4Kh/7h9cBAABejYMVAADAIRysAAAADuFgBQAAcAgHKwAAgEM4WAEAABzCwQoAAOAQDlYAAACHcLACAAA4hIMVAADAIRysAAAADuFgBQAAcMT//M//BycnXw/1ZKNIAAAAAElFTkSuQmCC" alt="" />
解决代码及点评
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
void swap525(int *p,int *q)
{
int temp= *p;
*p=*q;
*q=temp;
}
void PrAllC525(int arr[],int length,int first)
{
if (length==first+1)
{ int **Brr;
Brr=(int **)malloc(sizeof(int*)*length);
for(int j=0;j<length;j++)
Brr[j]=(int *)malloc(sizeof(int *)*length); //int Brr[5][5]={0};
for (int i=0;i<length;i++)
{
int temp=arr[i];
int wz=0;
for (int j=0;j<length;j++)
{
if (arr[j]==i+1)
{ wz=j;
break;
}
}
wz=(wz+1)%length;
for (int k=1;k<length;k++)
{
Brr[k][arr[wz]-1]=temp;
wz=(wz+1)%length;
}
}
for (int i=0;i<length;i++)
{
Brr[0][i]=arr[i];
}
printf("\n");
for (int i=0;i<length;i++)
{
for(int j=0;j<length;j++)
{
printf("%d",Brr[i][j]);
}
printf("\n");
}
for(int i=0;i<length;i++)
free(Brr[i]);
free(Brr);
return;
}
else
{
for (int i=first;i<length;i++)
{
swap525(&arr[i],&arr[first]); PrAllC525(arr,length,first+1);
swap525(&arr[i],&arr[first]);
}
}
}
void main()
{
int arr[]={1,2,3,4,5};
int n=sizeof(arr)/sizeof(int);
PrAllC525(arr,n,0);
printf("8的个数太多了 想打就把上面的数组改成8位的");
system("pause");
}
代码编译以及运行
由于资源上传太多,资源频道经常被锁定无法上传资源,同学们可以打开VS2013自己创建工程,步骤如下:
1)新建工程
2)选择工程
3)创建完工程如下图:
4)增加文件,右键点击项目
5)在弹出菜单里做以下选择
6)添加文件
7)拷贝代码与运行
程序运行结果
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqUAAAG6CAYAAAAxsD/hAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAADpMSURBVHhe7d0LnFx1fffx39kMYwC5JEpIYNunWm+U+y0CCkRuQRlQ6zXeiMaXrdWWAopKq/V5UVAsIlSfbtvH6ErVaJ8+8WlVUAkQVLBTucmtqX1oy6MJIUOCGC4zIck853fm/Df/+ed/bjOze3Z2P2/6d8753+csWb49s3sS3Pb5VW354FvlJOk477zz4iMAAABgcjwavDA+6gja7Qfal7/2b6Xe/g8JgkBeddrpcvKSpbJgwYFxFwAAAGAwWs0n5YH77pIvrVwp7XZ7IpwGt33+gvanf/AfMm/efPnABZfI01KNGgAAAIDJsmjfqlxx2Sfk8ce3RME0CqVX3vif8id/9il5OnhO3A0AAACYXIv22UMuufgPZaO8QIJzzz23feKJJ8tJZ/9u3AwAAABMjY0/v1u+9rXrOqH0zy77C3mqvUfcBAAAAEyNl/3GAnnvu9/WCaVf/PLXZd0vG3ETAAAAMDVeNnpAFEpH4nMJKBQKhUKhUCiUKS7GxJ3Sn69/LK4CAAAApsZLDn5+98f3/75hc9wEAAAATI0XH/S87lD6fx/ZEjcBAADMDE9tfUp+/m//KY8/vjWumXzz5u0jL3npC2TvffaOztlDZw9JXrRofrFQuuYfV8VHxbzwpYfLb73kd2RkZOLHVwEAAKbE7T+6S4464rdlwYHPi2sm36ZHN8s99z4kJ518THTOHjp7SLJbKH1o4+Nxk1/w1KPxkd9IEEgwEki7LdFfGaVF/eDGm+SVS18ne+65V3QOAAAwVW76we1SO+eVsuXXT8c1k2/+vnvJd777Yzn9rJOic/bQ2UOS3144z/ntew2VKeXIo45KLYcfeaQcdvgRcvgRR8gR4bGpj4QB1TfntCuP3ST/49Kr5IePedomu9hrT5d9+NontTTkh5+/SP7hQV8bhUKhUCi9lejG2RQW33rTdQ/mV+B3ncdtvn+iNu1uv8ZjzD/xuZa879mYuFP6n5ueiKv8jnvJQll76wPyN7f+XEYqO2Vkj7aMVHfInLBc+YYzZP78eXHPjtMv+qbcdPVb5NNXXSsnL32d7LX3c+MWY5Pceu0V8oNH4tPIsfL2T79Tfic+2+U++V8fvUEWXHyJnHpAXBXZfY6j3nWNvGn3CfJp3Cif/+zdcsRu6wxSwnux15ap2EcC9xpE59+VjZ3W+Prm/3okf019OuM3ndnH19Arab9K21bKPdHxQXKW1efBb/6xfO3uznFk0Tly4QVnyvP12HtdOsep4wAAU2rN92+Tc889ZcrvEH772z+UM5a+IjrPu4fb166Vu/65Hp8lO+aEl8tJS5bEZ36Je3jiqfBMP83eFQY72uE/gfzkVt3Dv8R1utZiOemUJXL7rbfKXfVde4v2cOqp0SfknVzZ+YS83dag2Tmdv//eXXtI8oIF+3V/fP9fjV/HTX7HvfhAuSUMpf+07hcyRwPpHjvCsjM83iEXnPyK1FB6ytmv94fSay6XR8+8Vt58aFz1wHVy6XV3hv+Bt+pijVuulG/Iu+UPX7UgrlE6x5dF3v6RXQHqqrvkiA/F51PO8548/O9lOrpP/v6ajfKqPz5TossZXd9H5PQr3yUHJH498n9Nd5fv+vUi+d+fy+XeI/+kUx/tVeQd4fvTfPngNy+QmxbEbV2Sr0v6OADAVNMwdl7tZHn8yWZcM/nmPXeu/NN3ftQVCPPs4dorPiXf/PpfxWfJ3vK2P5ALLv1YfOaXtIfNXcE4To/RURDF0s9/+kr5h2/+TVSn3viW35NjwwB6ZxiW3fo//OhH4jO/54XB2N5Dkt86YN/uj+/1Fmtaeaq5Leo3b/895D+2bJR/bfw/WffYw/Jvm/8rqlf6tszPkh5w+K6/Ico330h4HcKX6LbtRN1h58unP1STR6/7O/lXuz4sBx52jMi9P5PNXfXxHOE/0fmCs+SMYzbIvQ9ssvpMZfG8J0/xv5fpWI6Qt154lhxozhccKUce9Ig81sj4eth1KV/T3Uu+69dL8e638TO595Hj5IzTDuycH3a2nH3QnfLAg532cCvhZnz//iZfFz1PHkehUCiUqS6R8FWPpqzE63btIaS7SPunCHuc/58Oew/6uz/ByEi0v86r7lVfO3Uj4euxJ54QBc6dO3dG5e9XjUWBVF9NXRRUw37RfOEYHae/0N4pnfWiOfU/7CGzh6Ri7PqZ0mijKSXuV3/432X7Hk/LHntulz3mPiuVsCi95at9zBdi4X/7RfSqvPOZlcP+XfUL9T/wd8j9+nOFj90o115ypazVn2/UevmO3Kz1XXOE69nj46pg5FFZe80fyTcfvE++eckfyUevuVEei/rE5xPlOnnQjI3Ws86dvteufTSu97XdGJ5fLt/bIHL3V8K6eL3H1l450WdiLd97sdfu2oeuE16DtddZayXtI+438V4T1tcSrWHq9TrZ9fY1sMsmeXTDQbJgYXic+PXQ62/XhcX+mkZ1SdfVjO9uT9zbbntNuRbea75RHjnmaDlsYvzC8L2JbGzE+wm38sgNl8fzJV0TLdZ10fPc4/zXofM12zXuwW+E7d+4L3UMhUKhUPwl+s9KdNtMj6emtPVFj+w96LH+9zGl2PRuqFtsvvF2Cf+n08/ag5oT1kfhMX6dE7ZpiUJq+HryaafJcSedKG9e9n7ZsWNHVFZ99QsTx1qv7dpvJJgThVAdZwJmJ4x2wqlh9pBUjF2hNJoouYT/E/WbCKPPeTZ83SZ7PKdzB9WaM3LNaVfGR0lzh5vuNKbWdw71eJGctvR4ufvee+PzXX0nzhs3yo13HSxHHb5oou3u8XvkiM9+QT5z8VJZENwr3/jQ/5SNr/m4fEbrtLw7kOs+FAaAeI5wtng+7Xu9LPxI3O+zH5ej7rlcvvGAaeue58LTl8qysM+rDxI5+t1hna4X7udr1x8k55u1PrtcDovm9r0Xe237ODyU9fK9jUd35vjIeSLXj8vahrZ19iG6XjT/eyS4545dYxPX3yRr1wTyDlP/7nAv475r0F0e/Lq+51envIc8X9O06+p8zXLsbdd5xrXw7PexTZ0ffjXnUYlqwn2Ex4e93cz1Bfnwax6R664OA67dNy7d1yXvuOTrsOD0j8n5x9whN968SYIHrpPrNp4nH377kaljuuemUCgUiinh/4TBJwxPc9LLbWvXyjVXXJFZtJ9vfFcJ/3sWrWvvQf8bFwW/5KI2b94cFXXRxz8+UZTd5hvvFu8ewldzVzMKhaZP2N2E1VNOO12OD4Pnsnd8UB5//PGJoudaf/LpYSCNA+WuuXaViTrnOiQVo3MFQr5OdjH0zugeJpBWt0m12orq2zt3Rq9envnMnP76g2Wh3nU6cKlcdPWlctqBcdvhR8sxd90jD3T1XS83XPlBueTisFx5pxz1sV391THvMUEsLA/cI3cfdJ6884yFE+ODw18dBsmfyn36H3ZzNUxfe+6LL5MbNohs3KRBwTNPXDrD4/MDF8oi+al85eJPyS3ub7O778Ve2z7WEl6PVy89qnN84FFyVBh89f8LMPs48/C4X7BQTjv7+Hio9k1aP+z3jqUS3Pypznv78k+jMWHD7mvH5YGvf1C+ErxPLuq6dr6vR7y2Uya+pmnXNernfM2Svj5a3K9X2rXQ4ux3wcLwQpq2uESp1KnTsuCMc+SYDXfK/c7X0XtdrJI0Lus6HPaO98mi6y8LvzYb5NXn6/9DlT2GQqFQKLuXzn8HopdUP7399uhnJrOK9ssUr2fvQev0KK2oVqsVFXX1ZZdNFGW3+cbbxejaQ6gTGrVOA+ic6Dyq07ue2nfOiPz4lpvD9/kT+dxVfzqxphY91/rbbr4lnCPsr6E0HBONMyE1OtZAaq2pdSnFMP9Z93ayixGF0SiQtqK7pJVq5+P7e+9/QO697/6o6I+VNsPNP/PMM1Gbb75OiRq76x64QW4IjpPDFzj1UTlKjjz2p507SBN1B8trPvZXctXntPyJnN41zp2/c95dpyUMTBpko38072ldeHDwa+WSaN5d5eIofCTNE4+bOD5K3haNe68E131APnzRFXJLdIez09b1Xuy17eOwqKguPteqzrk26El32666hPUbP5DPXfQB+Wrw3s77+thrpZNzw7bon11ra3nwax+Qr8jvyVXviIPxRPF9PTrrd/Xr+pqG7YnXNW434yZKXOfureu80yfqN1HcOne/YfvGR6Ux0b5JGhtFFi30B0wVHk2cJ1+X7uKO65SwMvU6dMap8Cz3GAqFQqE4JfzWGf22ix6kldBDDz2UWSK+8VaZOLT2oCU8SS+hbdu2ReXKKy7ZrZi2iG98V4n+Lzzs7MHQO5hhauwEyqjEdzXjUPmjNTfLv9x2e9d6F37ozyeOtV7bf3jTTeF/fzuBthNq4xIdd+Y1Jq5DQjFyh1JdYMOGh+R9v1mT9yx6nZx/wJvk7fsvk7c+953xDLt0fu5Afxi280tPvvmiom36jzm/f1w+tHKDnHP+2dEvkQSN78vVF15uBblADlv6WpG779kVJIrMf/gxcuz6f5Sv3mSFqPtvkOslDEzR3dVotzrhRN+b7o/7heWBr4537rLt1vYzucXMaa8Z7v+WqM9COf3Dn5RzDl4vj26K28LS/V6stZ1jPTVjomLOd9vHJrnle527ntF50vqbHpENYbgxd3ob990hG7xrh/Nd9Qfy/UWflM++0x+8vF8P/cecu1/TtOuqJRx/1z0/m2hr3PRFuX79YjkyugOqe9sgm+J/H7r2nXUt4tK138PPkXPEGhP9u/Da+G7rz2TVV3ft44Gv/o3cdbD59yTtuqSMs/99zrgOOm5j7ZPykZrI9dd9P95vxrWjUCgUym5FzQnD0pwwJKUV9eyzz2YW5Rtvl+jj+5C9h05gM0HQX5RvTbco33i76HtWE9ciPNa9RQEybNe6zqve1Yz3PTInDJy3yZ//9wsn1vrIpZ+Rl5/8iujV1Gn7v/z4tug9de6OxkE0XsuE02g9ew8JxZh4JNTGrZ3bwUl+83l7y/57h28wXHzHtmdlTmVOeLxH2LJD2tu3y7bt+pv3Itt3bJcdO3dGm9DNXf2XY3Lm694qe+/2SKiNctNnPinfXR+fqoNfJx+95GyZeJDOo9+Tq664Q46+9E/l9APjumjcF0XO1zr7OG6e0Jl/49l/LW8/Iq6K3CNfu+Cv5c74TGSxvOfa98hhehitt0HO7jr/P2Hw6Th2hTVXV9uuOTat+XP59Ld/OfFeNv3d78uX9Ecb1XG/L1eHIWYXa/9ird21D93vd2ThxDVw3nPXPkblnHMPku/eddDEdbzfu37n2phrf9Bxi0XCPrutfe+X5KKVu55V1hGukfr1yPiaqsTr2hm/cdFiufMOs6719QlNXN9Q1761IuNadKRdv+61xH7/9vvIui5J46K1rH+fE65D9DV7xIyLr+mi+GuXeO0AAD7Xf3utvP61S+RXT8V3GBPcuubGKGhlWfzKV8ipZ5wZn/ntv3dVvvWPa+U153aeJTqd9rC1GQa2Lp0biGEkjI5u/cEP5J9/9ONOVejlJ79SXnXWWbLWqT8hrD81rI8ipQ7clS0n7DO30rWHJAv3eU73c0offTL9Qn3r7/5Wo258trs99qiEzXPk2W2tibenFv3GC+TI40+SPfca3F8zuunGy+RTj5wrn3uXHfAGIPwP/l9cvkFe/ZdWMJlkE+9l6cbBrB0GogtvOEg+9hEnCE6iSft69CvhWkzb/QIABu67/3SLvOH1p8kTT3fuME6F/fbaQ/73t26Wc857VXQ+nfbw62fsPWius1NbRxAFVLve5L+wLhoS99A7ne1Oz4kemhXjx4Puu2f3HpIc+Nxqsb9m9Nxl75alv/u2xHLauW+WV9XeIGc59UctfoXM3XNP75y9lgPPOk+Ou+Muud/T1k9p3PdT2XDwQZ2PmaeomPdyU09rPyo3Xfkl6zr8TL72xbocdOzRpbyHQX89ipX812J67JdCoVAoU1b0o+Q5U1fML/pMxz10jvVVi53/dEzno3dNmJ2+nbpOv7iv/hNXhP/beY3PTV30sb4e+/bgKcbEndLG0+7t3Fnk3i/KBX+rf3XWy+W9X3ivHN6pnRr9rv3oDfKZy1aL+cT84NdeJpecuTA+m2W4FgAAx8033i7HHfMyWbRoqj4/FHnkkU1yx13r5LQzT4rO2UNnD0kO2KvS/fH9Y0/viJsAAABmhie3Pi3//JO75Zlnpu6vGd1zz7lywolHy3P36fzoIntI/xHO5+81pzuUbn4m5TmjAAAAwCR43p4j3T9TGv0QAIVCoVAoFAqFMpUlNnGndEtz99++AgAAACbT/LlB5+P7Wq3WXjm+KjGU1tesjo8AAACA4s4//3xZt35rfNZNQ+mK5cvyhdJ6XX87HAAAACjm0ksvldHR0cGF0rGxsbgGAAAAs0Gz2ZRGoyGVSkWq1Wr014fa9Dmj7Xa763mjyjyDVMe3Wq1cobR7ZgAAAKAEhFIAAACUjlAKAACA0hFKAQAAUDpCKQAAAEpHKAUAAEBP5syZE/1Wvr72i1AKAACAwjSI6iOiTjjhhOi132BKKAUAAEAhGkC1HHLIITJ37lx53/ve13cwJZQCAAAgNxNIDzvsMDn00EPljDPOkKOPPlquvfbavoIpoRQAAAC5aehcvny5vPnNb5Y3vvGNcvzxx0fh9MQTT5Rbb711t7/1KS9CKQAAAHLbsWOHjI+Pyyc+8Ql561vfKkuXLpVTTjlFFi9eLKeeeqrs3Lkz7lkMoRQAAAC5aSjdtm1bVJ599tmJV1O0vReEUgAAAJSOUAoAAIDSEUoBAABQOkIpAAAASkcoBQAAQOkIpQAAACgdoRQAAAClyx1K165d6y0+SfU233hT52tTWe0AAAAYToXvlC5ZsqSruPKERV8fU2fPa/fLagcAAMDwGtjH9xoQ84TEpD522AQAAMDsMrBQmidU2nc7iyK0AgAAzFyFQ6m5I5rnrqgtbyC1507qm3cuAAAADIfcodTcqTRFFQ2myg6dyp0ja35TZ/oAAABg+A3s4/ssJmzaoVMVCZcEUgAAgJkpdyjVQOi7czkoWfO7gXSy9wMAAICpU+jje2WHQfuOpRsS3XOb209lzW/Y7QAAAJgZglqt1l45vkq2NNtxVbf6mtVSr9dlbGwsrgEAAMBs0Gw2pdFoSKVSkWq1KiMj3fczgyCQdrsdvdr0XIuOb7VaMjo6KuvWb41bu82fG8iK5cum7mdKAQAAgCSEUgAAAJSOUAoAAIDSEUoBAABQOkIpAAAASkcoBQAAQOkKhVLzjNA8zwr19bHHZrWZ4pNUDwAAgOGUO5SaIKgPtLcfdO/jq8873rTb/WxJawIAAGB4Dfzj+6TQmBQy89J5CaQAAAAzU+5QmidUmtDYT/hM0m+oBQAAwPTV051SX/jMG0jtO56+vqbd9AEAAMDMVziUpgVK5QZKN1zqODPWbjP1Se0AAACYuQqFUhMSTWi0+UKl8vUFAAAAbLlDqRtI9bzIncys/kXnAwAAwMzR08f3WeHRbjfHvjDru6Oa1G7XK/ccAAAAwyuo1WrtleOrZEuzHVd1q69ZLfV6XcbGxuIaAAAAzAbNZlMajYZUKhWpVqsyMtJ9PzMIAmm329GrTc+16PhWqyWjo6Oybv3WuLXb/LmBrFi+rLffvgcAAAAGiVAKAACA0hFKAQAAUDpCKQAAAEpHKAUAAEDpCKUAAAAoXU+hNOn5oObZob5niLptptjS2lx5+gAAAGA4FA6lSUHQ1OsD7+0H4btMu91P5R2vkuoBAAAwnHKHUg2CaWHQDZmThUAKAAAw8+QOpZMdOvPMbwLpVIRfAAAATJ2B/6KTfUfVFx5Nu+nj4xufNicAAACG28BDqYZGExzt4Gnqk9qNrPCp7fY43xwAAAAYLgMPpf1IC6R2oLXbfX0BAAAwXAYWSt07mK487cqEzKz+AAAAmDlyh1I3JLrnvjDpu6OZ1G7Y7Uns9qy+AAAAmP6CWq3WXjm+SrY023FVt/qa1VKv12VsbCyuAQAAwGzQbDal0WhIpVKRarUqIyPd9zODIJB2ux292vRci45vtVoyOjoq69ZvjVu7zZ8byIrly6bXz5QCAABgdiKUAgAAoHSEUgAAAJSOUAoAAIDSEUoBAABQOkIpAAAAStdzKHWfJ2rO3WJLa7MlteUdDwAAgOHSUyhNC4T6QHy7GGaMXe+bJ2nuvOMBAAAwfAqH0skKgjpv2tx2GAUAAMDMUiiU2ncri8oKlYROAACA2St3KM0bSM0dz7S7nv2EW3tuQiwAAMDM0NPH93bgtAOiXZTdz+g3UGbNDwAAgOGTO5SaMGiHQmUfZ+k3kAIAAGBmKnynNIkGzrQ7l24gzervKtofAAAAw6OnUGqHQ3PsC5u+O6J2u82td8/zzg8AAIDhE9RqtfbK8VWypdmOq7rV16yWer0uY2NjcQ0AAABmg2azKY1GQyqVilSrVRkZ6b6fGQSBtNvt6NWm51p0fKvVktHRUVm3fmvc2m3+3EBWLF82uI/vAQAAgF4RSgEAAFA6QikAAABKRygFAABA6QilAAAAKB2hFAAAAKUrFErNM0LtZ4XastqNtDbDncOcuwUAAADDL3coNQFQH1hvP8jeyGo38gTJtD5mfnsdAAAADLfcobTfEKhBs99ACgAAgJlpYD9TmhVa84RaE0j7Cb8AAAAYPoVDqX3HMyk89hIu844x65v+AAAAGH6FQ6mGRhMcfcEwb7hM4gZOez67KN/6AAAAGD4D+/he9RNIfaFT9TIXAAAAhkvuUOrewXS5gTSrf1GDng8AAADTR+5Q6gubvruYSeHRrU/qp9x+Ku/6AAAAGD5BrVZrrxxfJVua7biqW33NaqnX6zI2NhbXAAAAYDZoNpvSaDSkUqlItVqVkZHu+5lBEEi73Y5ebXquRce3Wi0ZHR2Vdeu3xq3d5s8NZMXyZYP9mVIAAACgF4RSAAAAlI5QCgAAgNIRSgEAAFA6QikAAABKRygFAABA6QilAAAAKB2hFAAAAKUjlAIAAKB0hFIAAACUjlAKAACA0hFKAQAAUDpCKQAAAEpHKAUAAEDpCKUAAAAoHaEUAAAApSOUAgAAoHSEUgAAAJSOUAoAAIDSEUoBAABQOkIpAAAASkcoBQAAQOlyh9K1a9d6i09Svc033tT52lRWOwAAAIZT4TulS5Ys6SquPGHR18fU2fPa/bLaAQAAMLwG9vG9BsQ8IbHXIGmHUQAAAMwsAwuleUKjfbfTRegEAACYvQqHUnNHtOgdz7RA6krra69NiAUAAJgZcodScyfTFFU0mCo7VCp3jqzA2e/6AAAAmH4G9vF9FhMm7VCp7OOsQAoAAICZKXco1cA4mXcm3UDqrjfZ6wMAAKA8hT6+V3Y4dO9y2qHRPbe5/WxJ47LWBwAAwPAKarVae+X4KtnSbMdV3eprVku9XpexsbG4BgAAALNBs9mURqMhlUpFqtWqjIx0388MgkDa7Xb0atNzLTq+1WrJ6OiorFu/NW7tNn9uICuWL5u6nykFAAAAkhBKAQAAUDpCKQAAAEpHKAUAAEDpCKUAAAAoHaEUAAAApSsUSs0zQu1nhdqy2o08Y01JktUOAACA4ZE7lJoAqA+stx9kb2S1G1lB0oy353FlzQEAAIDhkjuUpoXEPDRIDiJMEkgBAABmnoH9TGlWaO031CoTSPudBwAAANNL4VBq3/FMCof9hEczv5nD6GdOAAAATG+FQ6mGQhMM3eCoeg2PZt4889v1vj4AAAAYLgP7+F71Gkjz8IVWNRlrAQAAYGrlDqXuHUqXG0iz+ruK9gcAAMDMkTuU+sKm7y5lUrh0693zvPMrdx4AAAAMt6BWq7VXjq+SLc12XNWtvma11Ot1GRsbi2sAAAAwGzSbTWk0GlKpVKRarcrISPf9zCAIpN1uR682Pdei41utloyOjsq69Vvj1m7z5wayYvmywf5MKQAAANALQikAAABKRygFAABA6QilAAAAKB2hFAAAAKUjlAIAAKB0PYdS+3miypy7xZbWprLajbQ2AAAADJ+eQmlaKNQH3tvFMGPsenuerHYjbW0AAAAMp8KhdLJCoR1GfXRdAikAAMDMVCiUmlCYFh6TZIXOLP2OBwAAwPSVO5TmDaTmjmbaXc20ueyxhFAAAIDZoaeP7+3AaQdIuyi7n5EVOLPGAwAAYObJHUpNWLRDo7KPs2QFUgAAAMxOhe+UJtHAmXZn0w2kbv+s8QAAAJi5egqlbphUvrDpuyNqt9uyxrvj3HMAAAAMr6BWq7VXjq+SLc12XNWtvma11Ot1GRsbi2sAAAAwGzSbTWk0GlKpVKRarcrISPf9zCAIpN1uR682Pdei41utloyOjsq69Vvj1m7z5wayYvmywX18DwAAAPSKUAoAAIDSEUoBAABQOkIpAAAASkcoBQAAQOkIpQAAAChdT6E06fmg5tmhvmeIum2mJPG12+PcNgAAAAyvwqE0KQyaen3gvf0gfJdpt/u5fOPyzg8AAIDhkzuUagBMC4FpIbMIgiYAAMDskzuUDip0prHvhrqmYn0AAACUY+C/6GTfUfWFSNNu+hhpY1xF+gIAAGD6G3gote9o2sHT1Ce1G1pn17t9zLmZAwAAAMNv4KG0V77QquxjAikAAMDMNLBQ6t7hdGW1Z3EDab/zAQAAYPrIHUrdEOie+8Ki745nUrvNntc+VvZ4AAAAzAxBrVZrrxxfJVua7biqW33NaqnX6zI2NhbXAAAAYDZoNpvSaDSkUqlItVqVkZHu+5lBEEi73Y5ebXquRce3Wi0ZHR2Vdeu3xq3d5s8NZMXyZdPnZ0oBAAAwexFKAQAAUDpCKQAAAEpHKAUAAEDpCKUAAAAoHaEUAAAApSsUSs0zQvM8K9TXxx7rttl8be5YUwAAADD8codSEwD1gff2g/B9fPV5xyfNaZjx9jwAAAAYbgP/+D4pVGaFSB2XFUgBAAAwM+UOpXnuTJpQ2csdzDzzAwAAYGbq6U6pL3zmDaT2HdFeQqgZb+YAAADA8CscSrMCpRsY3fCo48zYIsHSjOt1PAAAAKavQqHUhEATCm2+0Kh8fQEAAABb7lDqBlI9L3Knsmh/V7/jAQAAMH319PF9Vji0282xL8zad1HteuWeZ40HAADA8ApqtVp75fgq2dJsx1Xd6mtWS71el7GxsbgGAAAAs0Gz2ZRGoyGVSkWq1aqMjHTfzwyCQNrtdvRq03MtOr7Vasno6KisW781bu02f24gK5Yv6+237wEAAIBBIpQCAACgdIRSAAAAlI5QCgAAgNIRSgEAAFA6QikAAABKRygFAABA6QilAAAAKB2hFAAAAKUjlAIAAKB0hFIAAACUjlAKAACA0hFKAQAAUDpCKQAAAEpHKAUAAEDpCKUAAAAoHaEUAAAApSOUAgAAoHSEUgAAAJSOUAoAAIDSEUoBAABQOkIpAAAASpc7lK5du9ZbfNLqs8Yavj72WLcNAAAAw6vwndIlS5Z0FVdSWDT19risvrYi4wEAADBcBvbxvQbEQYTEpDnsMAoAAICZZWChNCs05gmV9t1QAAAAzB6FQ6m5I9rPXVFf+MwbSO21Ca8AAAAzQ+5QqgHQLqqXYJoVKO3Qqdw1+l0fAAAA08/APr7PIy2QmrBph07l6wsAAICZJXcode9gFuUG0qLz9bs+AAAApq9CH98rOxzadzHd0OieG0n1NncelbU+AAAAhldQq9XaK8dXyZZmO67qVl+zWur1uoyNjcU1AAAAmA2azaY0Gg2pVCpSrVZlZKT7fmYQBNJut6NXm55r0fGtVktGR0dl3fqtcWu3+XMDWbF82dT+TCkAAADgQygFAABA6QilAAAAKB2hFAAAAKUjlAIAAKB0hFIAAACUrlAoNc8ItZ8VarhtpiRJa0+rtwsAAABmhtyh1IRAfWC9/SB7l2m3+7nSAmVSW971AQAAMHxyh9K0kFlEWugkZAIAAMxOU/ozpfbdTldW6B1UKAYAAMD0UziU2nc0fSHRtJs+RtqYogY5FwAAAMpXOJTadyzt4Gnqk9oNrbPrfX3SmP5mDQAAAAy/Kfv43hdaVZFwSSAFAACYmXKHUvcOpyurvV9uIJ3s9QAAADB1codSXxj03fFMarfZYdIc2+OUe24k1QMAAGB4BbVarb1yfJVsabbjqm71NaulXq/L2NhYXAMAAIDZoNlsSqPRkEqlItVqVUZGuu9nBkEg7XY7erXpuRYd32q1ZHR0VNat3xq3dps/N5AVy5dN3c+UAgAAAEkIpQAAACgdoRQAAAClI5QCAACgdIRSAAAAlI5QCgAAgNIVCqXmGaFJzwrNajfyjDUlSVY7AAAAhkfuUGoCoD4Q335QvpHVbmQFSTPenseVNQcAAACGy8A+vk8LkUqD5CDCJIEUAABg5skdSrNCZ5Z+xysTSPudBwAAANNLT3dK08KhfUe0l/Boxps5jH7mBAAAwPRWOJRmhUOtN21usExjxmWN1zq7vsgaAAAAmJ4KhVITAE1onEq+0KrK2AsAAAAGK3codQOp746lfV5Uv+MBAAAwvHr6+N4XHn1h1b6L6Y5zz7PG29x5AAAAMNyCWq3WXjm+SrY023FVt/qa1VKv12VsbCyuAQAAwGzQbDal0WhIpVKRarUqIyPd9zODIJB2ux292vRci45vtVoyOjoq69ZvjVu7zZ8byIrly3r77XsAAABgkAilAAAAKB2hFAAAAKUjlAIAAKB0hFIAAACUjlAKAACA0vUcSu3niRqmLk+bKba0NltaGwAAAIZPT6HUFwpNnT7w3n4Qvsu02/1U3vG+OgAAAAy3wqF0skKhG1Jdui6BFAAAYGYqFEpNKPSFx6xQ2a/Jnh8AAADlyR1K0wKpK62vueNp+rjsNkIoAADA7NDTx/d2oHTDZVKg1HO7KHesymoHAADAzJM7lNqB0oRGZR8nBVIAAAAgTeE7pUncQKrn9p1O99yV1Q4AAICZq6dQ6oZNW1K49IVV3x3XpHa7XrnnAAAAGF5BrVZrrxxfJVua7biqW33NaqnX6zI2NhbXAAAAYDZoNpvSaDSkUqlItVqVkZHu+5lBEEi73Y5ebXquRce3Wi0ZHR2Vdeu3xq3d5s8NZMXyZYP7+B4AAADoFaEUAAAApSOUAgAAoHSEUgAAAJSOUAoAAIDSEUoBAABQup5CaZ7ng/qeI2rqfG0qrd1tMwUAAADDr3AozRMEfX1MnT4Q335QvpHVbph2ux8AAACGW+5QqgHRFxJdSX0IkQAAAEiSO5TmCZX23c6iCK0AAACz18B+0SlvILXvuCb1TWs3400fAAAADL+BhVLDDYxueLTviPqCpalzA6kZlzUeAAAAw2dgodQXGpV9nCUpkAIAAGBmG/id0iQaONPubLqB1O2fNR4AAADDK3coLRIS3X7KFzZ9d0Ttdlve8QAAABg+Qa1Wa68cXyVbmu24qlt9zWqp1+syNjYW1wAAAGA2aDab0mg0pFKpSLValZGR7vuZQRBIu92OXm16rkXHt1otGR0dlXXrt8at3ebPDWTF8mVT9/E9AAAAkIRQCgAAgNIRSgEAAFA6QikAAABKRygFAABA6QilAAAAKB2hFAAAAKUjlAIAAKB0hFIAAACUjlAKAACA0hFKAQAAUDpCKQAAAEpHKAUAAEDpCKUAAAAoHaEUAAAApSOUAgAAoHSEUgAAAJSOUAoAAIDSEUoBAABQOkIpAAAASkcoBQAAQOkIpQAAAChd7lC6du1ab/FJq08bm9Vuy9MHAAAAw6HwndIlS5Z0FVdSUDT19ji7b1a7LakeAAAAw2lgH99rUOwnLNphNA2BFAAAYOYZWCjNCpV5Q2caE0j7nQcAAADTS+FQau6I9nPHMi1c2nPb7WljAAAAMNxyh1INg3ZRvQTTrHCZNb/W2fW97AEAAADTy8A+vs8jK5CmMWHVDq2ql7kAAAAwveQOpe4dyqLcQOrO1+/8AAAAGF6FPr5Xdni071K6odI9N5Lqs+a32eN9cwEAAGC4BLVarb1yfJVsabbjqm71NaulXq/L2NhYXAMAAIDZoNlsSqPRkEqlItVqVUZGuu9nBkEg7XY7erXpuRYd32q1ZHR0VNat3xq3dps/N5AVy5dN7c+UAgAAAD6EUgAAAJSOUAoAAIDSEUoBAABQOkIpAAAASkcoBQAAQOl6DqX280SVOXeLT1p92tisdgAAAAynnkJpWiDUB97bxZU01tTb4+y+We0AAAAYXoVDaa9BUMf1EyLtMAoAAICZpVAote9WFpUVKgmdAAAAs1fuUJo3kJo7ov3cFU1by56bEAsAADAz9PTxvR047YBoF2X3yysrcPY7PwAAAKaf3KHUhEE7FCr7uF9ZgRQAAAAzU+E7pUk0UPZz59INpO58/c4PAACA6aunUOqGReULk/YdT7teuedGUn3W/AAAABheQa1Wa68cXyVbmu24qlt9zWqp1+syNjYW1wAAAGA2aDab0mg0pFKpSLValZGR7vuZQRBIu92OXm16rkXHt1otGR0dlXXrt8at3ebPDWTF8mWD+/geAAAA6BWhFAAAAKUjlAIAAKB0hFIAAACUjlAKAACA0hFKAQAAULpCodQ8I9R+VmgSt489zi4+afVZYwEAADB8codSEwL1gfX2g+x90gKjGW/PY8ua0x6Xtg4AAACGR+5QmhQiXb0GRR1HyAQAAJidBvozpfbdzKKyQm/eUAwAAIDhUziU2nc07ZCYN5Ca8aZ/L/KuBQAAgOFQOJTadyx9wdINnHaAtIvyjc9izwcAAICZYWAf3/tCpxpkeCSQAgAAzEy5Q6kGwl7ubBqDGK9MIO13PgAAAEwfuUOpLwwm3bG0w6LbN2m8Xa/ccyOpHgAAAMMrqNVq7ZXjq2RLsx1XdauvWS31el3GxsbiGgAAAMwGzWZTGo2GVCoVqVarMjLSfT8zCAJpt9vRq03Ptej4Vqslo6Ojsm791ri12/y5gaxYvmxwP1MKAAAA9IpQCgAAgNIRSgEAAFA6fqYUAAAAXvozoffdd588/PDDsnnz5rh2l6SfKd1///3lRS96UfSzpHl/ppRQCgAAAC8Npd/5znfkhBNOkPnz58e1EgVRpe07d+r5zqhux44dsm3bNvnVr56Qhx76dzn55JP5RScAAAD0T3/73gRSDZ7bt++QZ7dvD8Pns/L000156qmnZOuTT8kTT2yVxmOb5Re/3CBz5syRjY9ujMbkVSiUmmeEJj0rNKvd5vaxx9nFJ6keAAAAg6dhVMvOnTs7ZcfO+K7os9JqbYvuhmp55pnmRFtRuUOpCYL6wHv7QfhGVrstLVSa8fY8trSxAAAAmBydULormO4Iw+f2Hdtl+/bt8mwYTjWgtsN2E2CLGtjH90kh0tVrqNRxBFIAAICZKXcozRs605hQ2cs8g1gfAAAA01NPd0rTwqV9R9NuzxtIzXjTHwAAADNf4VCaFS613rT5gqUbOO357KJ84wEAADDzFAqldoAsyhc6VS9zAQAAYOrpo56q1ao85zlVmTv3ObLvPvvIfvvtK/Pm7S/z58+T5z5377hncblDqRtI9dy+k+meF9XveAAAAEyukZERWXrWmfLHF1wgn7ricrn2mqvlC5+/Vr61+h/kZ/fcGQbVuXHP4nr6+N4XHn1hNekuqD3e7Zs03q5X7jkAAAAm36GHHiqnnHKKnHjSSRPlsMMPl4MOPjju0Rv+mlEAAAB46V8j+uUvf1ne9a53xc8e7fwd9/rXiuozS59++pnoQfnmuaVPPvmkbN68Rfbbbx+5/Sc/lje98U38NaMAAAAYrGn18T0AAABmr8n6+J5QCgAAgFz0Y/qrP3eN/O4b3iBLlrxKFi8+QY499nh58YtfKgccsDD6uL9XhFIAAADkwsf3AAAAmBaWLl0q5557rpwVvpqy+OUvlxe88IVxj94QSgEAAJCLfnx/0cUfktPPOEOOPfY4OeSQQ+UlL3mZHHzwb8i++86b+o/vk54Pap4dmvQM0ax2m9vHHmcXAAAATA19/NO2bduk1doWBtCW/HrrVnniiV/L44//SrZseVyefPKpuGdxhUNpUhA09frAe/tB+EZWuy2pXpnx9jwAAAAYbrlDqQbFtLCYJW+I7GcNAAAADKfcoTQrVOYNnWlMIO13HgAAAAyXSflFp7Rwad9xtdvzBlIz3vQHAADA8Bt4KM0Kl1pv2nzB0g2c9nx2Ub7xAAAAGD4DDaV2gCzKFzpVL3MBAABgsNrtdlT0sVBa2u3wdUfnuFN2yE6tC0svBhZK3UCq5/adTPe8qH7HAwAAoDcaRneEAXT79u3RY6H0uHP+bKfs2D7Rpn17kTuUuqEwKSQm1fvCatJdUHu82zfPeAAAAAzGvHnz5Fe/+pUEQRgcR0ZkzpwRqVTmyB57VGSvvfaUvffeW/bdd5+w337y/OfNlwMXHBA9y3T//faPZ8gnqNVq7ZXjq2RL059q62tWS71el7GxsbgGAAAAs4H+DU133323PPzww7J5y+a4NpsG0gULFsiRRx4prVZLRkdHZd36rXFrt/lzA1mxfBmhFAAAAH4aShuNhlQqFalWq9GdUlsQBNHH9fpq03MtOj5vKB34b98DAAAARU1KKLV/JtSWVJ+ll3GD3EOv+1b9jJ1MZb2ntLF55x3kNR3kXHklrVlkL/3MMVnvud95zfhB7M+do8icSX373Vfe8YNYP61v0fcxqHWNrD797r3f8QDKM6PulCZ9wxmWb0S6zyJlkCZ7fkN/OS1r7qJr23t2y6D45s5bBiVprn7XsPdql7Lk+XekqMmY0zXZ8/f7HnSsGZ80j+ljl7T6yTZV6wCYHgb+M6X6TSTpt+LT2pKYMXnHuv3dcXnnsfUyRum4JL3MZ/S6H1vWdUlbw27T4yzaN62fPZfv2OW2JY1Lm8PI0ydN0fFp/Yvs1301subwteep03Mf0ydr3TwGMYeR5z35pPUpOl6Ps/jm63cPyvRz95BnrEpaJ2t9ez17fd9elDuXO3/WucvX7lvXSJsLQMdU/kzpQENp0h9+8wff117kG4zvG06SpL5F96CKrGukrV90Lls/433vXel87rxp6/TalsUeW2SNpHFpcxh5+qQpMl77+tj7dSXNnbRu1hy+cXnrXHYf37qGu35RWftw5dm7T9Le0t6ju07a2nn3ZfdL2pMt7x7yrm+4/fOM9/VJmidvX2Xq7Pas8VntAPKZtqFU/0Db8vyBN3VFv0EktaXVp/HtIW19W95+yt6HO6bIPD79jre5c9n7NrLa1SDfY9rYtPXtcUnHSfL0SVJ0rK+/qUtrM8dpfHOknScdG746l+lTZHzavFlrarstax63v489h299e66ktjRpe3DXdiWtayuyr7S5fOvnZeZMWzeNb7w5znq1uXV5+gDINi1D6Vve8pbo3PyB1j/cKu83gSLfIJLqjbR2dz27rzvObeuVPactbe0izN56He/yzefuL22//bS5tK+v3ubO565hnycdJ8nTx6b983Ln9a1l6tLabG5/u4/b321zpbUpey4fM7+7rvLVqaR6ldWmTLt7biTV5+Fb39SlteWVt3/SmlnnSuuUbx1f/0Eyaxu6VtIe3TbfWOWO982n3PHKrJHFNx+AXXyhdM6cOVFJYv7a0aKhdEp+0SnpG4mPr6/7jSXpm41vbFJfl/ZLKnnafbRN1zb7yrOPJGnr9Mrdj9lrP/vMYq6Z/X7sc/vVrp9M9vu2SxJ7X+4+7eO8dK08Y3z99Dxtr4bZlxnvm8ftk4fZU549FDUZcxpF5jbvMY32McWw60y9W2fqfbLWLPJ1KsK3R7e4tM7sR199e7PHunOYMWnj7LH2uXLH269pBUBvNJC+4hWvkKOOOioqxx57rCxdulQuvPDC6JN1925qXoVH2d8I8jJ/+NPGmm8yeb9RaD8zRqWNNX3N61Qwe9M17fXLZu/DvR5mr3n3aY8tg72+Hptz+zgP+33bZaqYtdL2rG1Je9J60571vtPmyaJj7aJ6mcs3T15p/bXN3U/R+X3MnGlzaR93bVOXVXzMWvpqintu1ys9NvO5fbSk1bvcPdrFx1dv5jav9vikubSvW2/6mnr33OYbr+z3ae/L1xdANv377W+77bYokJ500kny+te/Xt7//vfLsmXLole9S9qL3KHU/sNr/lAn/eG3i037u3WGthX9BmGPscfqGu5c7rmvj4/pl7Rvm/YxRceY+c1Yu93UTSVd033Pea6Bj2+uqeSur8dumQrma6klD7u/O0b3nDSP/X60j/v+3HNfH19dUTreLr3oZbzd11wjt67IfEl0HrvYdH63Los7n118TL15L/rqHvvadJw5VqbNLmn1LnufbvGx28yxO7+vj82MSWKP9Ukbr/XuuLS1AKTTUKplfHw8+qtENZy+9KUvlcWLF0eBVNt6kTuUmj/Q7jcZl7bbZaroXkzxnU8F3/vW9e16t30qZa2b55qZtl7fQ5410hRZfyqus65hSh52/7xjlHvd3PMsWePserctD30vZpy+FnlvRtocpt5Xp5LWs+c03LltWm+XQXDn9M2re0rbV5ZexyWx9+oWH7vNHLvX3dfHMH3NdXDH6rk91tduXu1i6pS9HoDizC8umWJ+bvSTn/xk9HH+IYcc0lcgVT196N/PH+7J+sag85q5zbFvLa3Tb1K+Npfdz4zLS/smrZN3/clkr2/24xZb2vvJy57XXSNr7kGsPwyS3p99vcyxr6/W+a6TOTfjfO1JbdNNmfvrZW3z765dXGnXXftP9Xt292uXXrjj3XPz/sx1sN+v9nHfv56bscq0m7GmmDq7L4DeaPD0BVP9zfvXvOY10aueu32K6O0nUacp3zevqaZ7MPvwfTOcDntU9r6Svmm7ffrdt+9a5DWI9SeDvgdTJpuu0c81GPT1c9+zzj+IPdpzTMV1nWz6XtxShPbX62CuRb/XOIu7T/vcrs+i/cxe3bHuubKPbXnrff3c6+Yem3MjqT6vsscDk0lDqf4Ckxs6NYhu376970CqCv9Mqf0HJumbRZnsP8x67O7R1Nn9fHz98ozTPvaa9hgzZ1my9m6Yfnneb16+955n/n7XH9T+k+h7MGUq2O/Hd01NXdr71ra09ixmfC9rG0l9kurNWtpu+rjr56FjexlXlP0+zJ7tUpTu2Vzbydq/2Ze9P7OmT9r7SGvLomMHMV6LuW6mKPvVHAPIZgKpy9TZYdTXL49Cd0rNH+K0P8z2NwQtU8nsy6ydtMcs9lgzn+Ge59XPfqbCZO8taX5zPafztRkkfa92KUKvkbleWopcM3tNM08vksbb+9FXPXf5+tjz2HP7xps2U/Iq0lfXtUsvdJy9pr1nU3ph5u11X4Ni1k/ai71PXx/f+9c+pmi7r08a33h3DtOm9FXPXUlj8yp7PDCZfHdJ85QiBv7XjLp/mNw6c+7rm6RoX+VbI+tc9VNn03YjrV8as0bWWnkkvYckvvXS9pPWZiT1SZrPMG1J45Xd32XG9Mpeq8g8vj1m1ZlzX19l1vf16eU8DzPGHW/krU/qp3xtWqeSxiQx4/Iy8yftwa4z576+Kqm/kTY+T5vh62PY82Qxc9jzpc2t0vqac199kqS5VNo4I228kdSWNgZAh3l4/rx58+KaYp5++uncD88XDaWPPra1/a+//LW3jI+Pt9///vdrYh1YCb8ReOuTSp7+2sfXz9QlzWG3J/VJKu4Yc150nrQyyLkGUdL2k2evbp+i76/s65F3/X726RurdUn19qtbkuoHVbLmz9qfll7bkkovY4qUIvP7+hZ5v3qe1L9ofZFi1k0qvjHTsWTtd5jeC4VSVglDafsXv/hFe9OmTT0XHa98OVOL5lDNo7nulJ5++unxGQAAAFDMQP7u+5cdvE98BAAAAPSm71AKAAAATBYTSmfUc0oBAAAwnAilAAAAKB2hFAAAAKUjlAIAAKB0hFIAAACUbuK37wEAAIAyTDwSKj4HAAAASiDy/wHD/J2r4SbH4wAAAABJRU5ErkJggg==" alt="" />
基于visual Studio2013解决C语言竞赛题之0525拉丁方阵的更多相关文章
- 基于visual Studio2013解决C语言竞赛题之0523魔方阵
题目
- 基于visual Studio2013解决C语言竞赛题之0401阶乘
题目 解决代码及点评 这个是一道经典的教科书题目,基本上每本基础的c/c++语言教科书都会有这个题目 用来演示循环语句 #include <stdio.h> #include ...
- 基于visual Studio2013解决C语言竞赛题之0205位数求和
题目
- 基于visual Studio2013解决C语言竞赛题之0201温度转换
题目 解决代码及点评 #include <stdio.h> #include <stdlib.h> void main() { float f; float c; float ...
- 基于visual Studio2013解决C语言竞赛题之0409 100以内素数
题目 解决代码及点评 在已经知道素数是怎么判断的基础上,增加循环,可以判断出100以内的素数 /******************************************* ...
- 基于visual Studio2013解决C语言竞赛题之0408素数
题目 解决代码及点评 判断一个数是不是素数的方法,一般是看n是不是能被n以内的某个整数(1除外)整除 为了提高效率,这个整数范围一般缩小到n的平方根 如果在这个范围内的整数都不能整除,那么 ...
- 基于visual Studio2013解决C语言竞赛题之0407最大值最小值
题目 解决代码及点评 这道题考察循环和比较 /*********************************************************************** ...
- 基于visual Studio2013解决C语言竞赛题之0406数列求和
题目 解决代码及点评 这个题目,还是考察for循环的使用 以及数列规律,该数列的特点是第n个分子 = 第n-1个分子 + 第n-2个分子,分母也是此规律 而另外一个规律是第n个分子和第n- ...
- 基于visual Studio2013解决C语言竞赛题之0405阶乘求和
题目 解决代码及点评 这道题和上一道题类似,第n个累加项 = n-1累加项的n倍 由于有这个规律,我们可以用一个for循环实现 但是例子代码并没有这么做,大家可以回去修改下代码,使得代码更 ...
随机推荐
- C语言数组内存初始化
内存初始化当然有必然,但是不用memset,直接这样写就可以了:char* szRemoteFile = new char[MAX_LENGTH](); http://blog.csdn.net/pa ...
- android 播放assets文件里视频文件的问题
今天做了一个功能,就是播放项目工程里面的视频文件,不是播放SD卡视频文件. 因为之前写webview加载assets文件夹时,是这样写的: webView = new WebView(this); w ...
- jQuery.fn.extend与jQuery.extend 的区别
1 jquery.extend 是jquery 静态的方法 实例 jQuery.extend({ liu: function(){ alert('liu'); } }) ...
- Spring 面试复习
1 singleton 和 prototype singleton作用域:当把一个Bean定义设置为singleton作用域是,Spring IoC容器中只会存在一个共享的Bean实例,并且所有对 ...
- Sicily-1063
一.题意 一个员工是另外一个员工的老板必须满足的条件是作为老板的员工的薪水salary必须大于这个员工,而且作为老板的员工的身高height要大于等于这个员工.首先按照薪水的多少从小到大进行排序,然后 ...
- Port 8081 already in use, packager is either not running or not running correctly
运行 react_native 时发生这个错误,解决办法 关掉端口8081对应的进程 1.打开终端,输入命令:lsof -i:8081 2.此时提示: COMMAND PID USER ...
- javascript mapping
1. 使用var定义的变量是声明,没有使用var是给window或者gloable对象增加属性. 比如var a = 10; //定义一个变量名称为a b= 20; // 给window对象增加一个属 ...
- JDBC:Java连接数据库的桥梁
JDBC(Java DataBase Connection),java数据库连接,是一种用于执行SQL语句的Java API,可以为多种关系数据库提供统一访问,它由一组用Java语言编写的类和接口组成 ...
- 杭电ACM 偶数求和
偶数求和 Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others) Total Submi ...
- MySql 小问题集合
- 使用MySql通过SpringFramework来自动建表, 服务器用的是Tomcat, 在server.xml和context.xml中均正确配置了jdbc datasource. 编译通过, ...