{"cells":[{"metadata":{},"cell_type":"markdown","source":"# kNN has 600x SPEEDUP! using GPU with RAPIDS cuML!\n\n![1-24-20-header2.jpg](attachment:1-24-20-header2.jpg)\n\nIn order to predict one test image in Kaggle's MNIST competition using kNN, we must multiply the test image which is a vector of length 784 by all 42,000 training vectors (of length 784) in the training set. This is 33 million multiplies. To predict all test images, we must do this for all 28,000 test images for a total of 1 trillion multiplies! \n\nA 3GHz single core CPU does 3 billion multiplies per second and therefore takes 300 seconds or 5 minutes to infer all test images. In comparison, a GPU with 1500 CUDA cores operating at 1.5GHz can do 2.2 trillion multiplies per second and therefore takes 0.5 seconds to infer all the test images. That's 750 times faster!\n  \n![1-24-20-dot3.jpg](attachment:1-24-20-dot3.jpg)\n  \nIn this kernel, we witness RAPIDS cuML's kNN utilize Kaggle's GPU (Nvidia Tesla P100 with 3500 CUDA cores) to infer all test images in an incredible 2.5 seconds. For comparision, Scikit-learn's kNN uses Kaggle's CPU (Intel Xeon with 2 cores) and infers all test images in 1500 seconds (25 minutes). We witness a 600x speedup using RAPIDS cuML!\n\nYou can learn more about Nvidia's RAPIDS library [here][1]. The RAPIDS library allows us to perform all our data science on GPUs. The library cuDF provides Pandas functionality on GPU, and cuML provides Scikit-learn functionality on GPU. Other libraries like cuGraph, cuSignal, cuSpatial provide additional machine learning tools.\n\n[1]: https://rapids.ai/","attachments":{"1-24-20-header2.jpg":{"image/jpeg":"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ecvIwZn28bVUYXcMhxjym58F/Gz4C+NPiTbfC3wfo/jLw5441abxBaX99qyWj6HqNwgW4eeNxm4iLojKiEEAYzzQJHrf7KPxbvfjp+z14L8banEsWp6laul2EUKrzwzPBI4A4AZomYDsGAr1mvOf2dvhDF8Bvgp4T8CR3IvH0i1Kz3C52yzyO0szLnkKZJHIB6DFL8Mdb+JeqeLvHtv448OaVovh6z1ER+GLvT7nzZb+0+fMky722txH2XlmG3ChmAPiX45eLdRX9q74u2fiLxD8erTwtpaaVLY/8Ktu5BYafEbCNrqS5ViVjTcVYFB180nJxX3v8L9b0fxH8OPDOpeH9an8R6LcadA1pq13IZJ7uPYAJJSQD5hx8+QCG3AgHIryLxx8Rf2ifD3iDWtK0P4QaB4w06a5kGla/b+JI7OKCBv8AVm6t5hvd1By/lkA4O3tnsv2Xvg9cfAP4C+EPAl5eR399pVvIbqeHJjM8szzyhCQCUV5WVSQCQASAaEN7HqdfHGm6B47/AGrfGXxZ1rTfin4l+H1p4P8AEN14V8PaVoU6w2/2q0RfMuL1cH7QjySAhMjCgjPSvaf2bPiT4x+LfhvXvFHiSw03TdDudYuofDcNnBLHPLp0crJHPOXkYMz7eNqqMLuGQ4x5Tc+C/jZ8BfGnxJtvhb4P0fxl4c8catN4gtL++1ZLR9D1G4QLcPPG4zcRF0RlRCCAMZ5oEj1v9lH4t3vx0/Z68F+NtTiWLU9StXS7CKFV54ZngkcAcAM0TMB2DAV6zXnP7O3whi+A3wU8J+BI7kXj6RalZ7hc7ZZ5HaWZlzyFMkjkA9Bil+GOt/EvVPF3j238ceHNK0Xw9Z6iI/DF3p9z5st/afPmSZd7bW4j7LyzDbhQzAHzl+1BpemfDDVL3xT8TP2kviF4VOq3NzJ4Z0rwnG1rawJGqstvJFFG4uCpZBvlaMMDgkcmvbP2cNY8VfFn9ljwnf8AjW8nsfEmvaI3n6jpkiwzhJA4huUZRhJWiMcmQMK7dBjFef8AiDxx+0bquk6l4T1r4AeFvFMN4ktrLq6+KIU0meJiQC9pKpmK7cZXOTnt0Hp37OHw0m/Z3/Z48MeFPEOs29zNoFjLJf6i8u23i3SSTSYd8Yij3lQzAfKgJA6AH0PP/wBhS81n/hGvixo+seJtd8Wf8I98RNW0Szv/ABFfve3f2aBLdI1aRvxYhQBlmIAzX0xXy7+wZqlnremfHPUdOu4NQ0+8+K2u3Ftd2siyRTxOtuyOjqSGVgQQQcEEEV9RUIT3CiiimI+QfCH7bXxG+IN/4r0vw1+z1qmsav4W1efS9XSPxJbR20HlEq2yd41Es25XzEgOBtO87hXoJ1Sx/bW+CVmfDniXXPA9hNqiwa/aQxeRqKCFj9p06RgwMLMSuWGfl4IIYivmr9m7VvilrPjv45j4P+Pfh7cRX3xA1i5k8P8AiXzJZI4DKuNStjbtudX3og3DyyYhg5Jr2rUP2bPih4J/Z2uvCPw68Y6WfH/iHXZdZ8UeJNWM1mt41xua5MJgRmidiIUBUKQgcqUbbiSjm/hD8KfDXw4/ats9L+Bi39h4J0ixu7fx7ANQnutLN2yL9kijMrtm7VvmfaTsTCnaWYHuLr46/tERXMyQ/sv+fCrkJL/wsDTl3rnhsFOMjnFTfAHwR8d/hze+H/Dus6T8INE+G1hHJHLZeD49SS8QeW5Qx+d8hYylC7PksC5JLHNQ3X/BOT9ne8uZrib4e75pXMjt/beojLE5JwLj1oD1PX/hL4q8YeMPCz3/AI38Df8ACvtZFy8S6T/a8Op7ogFKy+bEAvJLDb1G33r56/4Jf/D/AEDw3+yxoHiXTrD7NrfiR7mTVbrzpG+0NBeXMUJ2sxVNqAD5AM9Tk819C/CX4NeD/gZ4Wfw54I0f+xNGe5e7a2+0zXGZWChm3Su7chF4zjjpXz1/wS/+IGgeJP2WNA8Nadf/AGnW/Db3Meq2vkyL9nae8uZYRuZQr7kIPyE46HB4ph0PIPDXwutfjP8AspeJ/wBpXVda1y1+LEkGr+I9M1e11KZRpK2c03lWcEYYRmErbBTuUn5zzwK+6/hB4vufiD8JfBPim8iSC71zRLLU5oo/uo80CSMB7AsRXzVefsn/ABZ0Xw14g+FPhDxv4d0r4La3dXDH7RZzNrOl2dw++4srbH7lo23SgM/zYkPTt9Y+G/D9h4S8O6XoelwC10zTLWKytYF6RwxoERR9FUChAzSr48+IXgE+Bv27vgTqUXibxJq58TXXiW5uLPV9Te4tbUR6eTHFbxcLFGvnPgAE88k1798C9E+JegeEby3+KniPSvE/iFtRnkt7vR7byIktDt8qMrsX5hhu3QgFmI3Hwr4u/CD9o/xn8ePC3jvQ7n4WxWXgu51P/hHodQk1ISSwXkQhb7WqIQzhFBHlsoDZ6jihiR9dUVy2teJdQ8GfC6/8Qa8lpJquk6NJf36WO/7O00UBeUR7vm2blbGecYzzXO/s5WXj+0+D3h+X4n6zJrPja8h+135e1gt/spf5lt9kKKuY1wrHBJbdzjADEfGPhr4XWvxn/ZS8T/tK6rrWuWvxYkg1fxHpmr2upTKNJWzmm8qzgjDCMwlbYKdyk/OeeBX3X8IPF9z8QfhL4J8U3kSQXeuaJZanNFH91HmgSRgPYFiK+arz9k/4s6L4a8QfCnwh438O6V8Ftburhj9os5m1nS7O4ffcWVtj9y0bbpQGf5sSHp2+l9Uk034P/Cm7k0+1WHSPC2iu1vag8LBbQHYn0CoBSRTOsr48+IXgE+Bv27vgTqUXibxJq58TXXiW5uLPV9Te4tbUR6eTHFbxcLFGvnPgAE88k17x+zlZeP7T4PeH5fifrMms+NryH7Xfl7WC3+yl/mW32Qoq5jXCscElt3OMAeIfF34QftH+M/jx4W8d6Hc/C2Ky8F3Op/8ACPQ6hJqQklgvIhC32tUQhnCKCPLZQGz1HFAkfXVFctrXiXUPBnwuv/EGvJaSarpOjSX9+ljv+ztNFAXlEe75tm5WxnnGM81zv7OVl4/tPg94fl+J+syaz42vIftd+XtYLf7KX+ZbfZCirmNcKxwSW3c4wAxHxj4a+F1r8Z/2UvE/7Suq61rlr8WJINX8R6Zq9rqUyjSVs5pvKs4IwwjMJW2CncpPznngV91/CDxfc/EH4S+CfFN5EkF3rmiWWpzRR/dR5oEkYD2BYivmq8/ZP+LOi+GvEHwp8IeN/DulfBbW7q4Y/aLOZtZ0uzuH33FlbY/ctG26UBn+bEh6dvrHw34fsPCXh3S9D0uAWumaZaxWVrAvSOGNAiKPoqgUkUzSr8qdB+MPwx/aLvtZ8e/HTSviB4t0Br944rfTLO6Xw54Ttg5WFZ5LeRWM7KVZmUNneBjPT9EfgXonxL0DwjeW/wAVPEeleJ/ELajPJb3ej23kRJaHb5UZXYvzDDduhALMRuPg+s/swfF7w/4R8TfC7wF4l8E2Xwo8RSXwkm1XTrg6vpsF2zNNDF5Z8qYDe6q0mGAIGRtXAwWh9V+GrXTrHw5pVto7q+kQ2kUdmyzGYGAIBGQ5JLjaB8xJJ65NaVcPHbWPwM+CS29pvudN8HeHhHF5x+aSK0tsLuPqVjGazP2crLx/afB7w/L8T9Zk1nxteQ/a78vawW/2Uv8AMtvshRVzGuFY4JLbucYAZJ8Y+Gvhda/Gf9lLxP8AtK6rrWuWvxYkg1fxHpmr2upTKNJWzmm8qzgjDCMwlbYKdyk/OeeBX3X8IPF9z8QfhL4J8U3kSQXeuaJZanNFH91HmgSRgPYFiK+arz9k/wCLOi+GvEHwp8IeN/DulfBbW7q4Y/aLOZtZ0uzuH33FlbY/ctG26UBn+bEh6dvrHw34fsPCXh3S9D0uAWumaZaxWVrAvSOGNAiKPoqgUkUzSr8mPEWteC/Cngjxdq/jy58c6d+1xp9ze3Yu7L7bviKTu8LwZP2f+zxGq7i38HmbARsr9IvgXonxL0DwjeW/xU8R6V4n8QtqM8lvd6PbeRElodvlRldi/MMN26EAsxG4+O+Mvgh8d/j003hj4l+L/CHh74cyXG67tfA0F2L/AFW3DZEE0lwSIlIC52E55BBFDBaHrumafof7Sv7P+hf8JZpYvNE8XaJY6heaeJZIQRLHHOF3RuGXDY6N26mvMf8Agm3/AMmWfDv/ALiP/pxuq9t8W+LfC3wS+Hc+s61cJoXhTQraKN5I4JJVt4gVjQBI1ZiBlRwDXiX/AATb/wCTLPh3/wBxH/043VHUXQ+mKKKKYgooooA8v/aI+NX/AAo3wLa6pa6NJ4i1/V9Tt9D0TSI5Vi+2X85IijLtwq/KxJ9vevkr9oS++NU3j79n+P4q+F/BKWTfEfR5bHW/Cks7yWbmXmzl88ZzIPn3IdpNuM9BX2N8bPg1pHxx8GJoWqXN3plzaXkOp6Zq2nvsudOvYSTFcRE8blyw56hiODgjwXxh+xl8TviFc+Gb3xL+0PqOr33hrWrfWdJ3eF7WK3heEkqXijdRLKDtxI5IA3jYd3CZSsaX7S/jj4ieCPit8NPt/h/4d6/8NNX8baNpOn/2pZXNzrNleSk5uUywhjdAs2yRcsu5eDk17X8dfiHqXwn+EXijxdpHh+48UajpNoZ4dLts7pTuCljgE7EBLtjnajYryf8AaG/Zf+IXxx8Y6VqNj8Zv+EX0HRdUs9c0jRP+EWt7v7Ff26EJP5xlRpPmZ22OCvzYIOBXoWu/DHxzr/wLk8HzfFC7tvG7pHu8c2WmR20u9bhZdwto3VQCi+UVDDIJPfFAHh/7OH7UXxO+MXxO0jS57z4WeJfCs8M9zqN14Q1C5W+06NYz5Svb3TJKxMpjUssZUAnJU4rk/GF18fP+G/8AVbfwrN8P/wC1f+EGeTTotYa/+x/2R/aeEaYR/N9s8zAJX93s6c1698Mv2TNb0L4vaX8SfiB8SZPiB4k0iGeHTntvD9poyJ50flyNN5GTOduQN54zmtv4y/s5+IPG3xO034ieAviNcfDfxlb6Q2g3N7/ZEGqQ3NiZvPEfkzEBWEmTuGSRgdqQaF7x18ENY/aF+Btl4N+KettomqXEqzaw3gK4MNtcbGcpEpuY3YxYMbEEA70HOODsfBH4Ex/BGHVYovHnjfxpFfLAiJ4x1j7etmIt4AtwEXyw2/5uudidMVt/CfwBqPw58MSadq/jDWfG+pT3L3c+qa06b9zBRsiRAFjiG3IQcAlvWu0piufEV/8AtM/GCC+uI4/iv+yzHGkjKqT+I7wSKAeAw8zhvX3r6O/Z48beIvH3gGTU/E+v+BPEepC9khF58PLyS600RhUIQvIxPmgk7hnGCtSy/szfB+eV5JPhR4IkkclmdvDlmSxPUk+Xya7Dwl4J8O+AdKOmeGNA0vw5ppkMxs9Js47WEyEAF9kagbiAMnGeBQDaNqvnX9ufV7hvhT4e8GW88loPiB4r0vwhNdRHDQwXMpaU/Ro4nQ+zmvoqvFv2uvhzq/xC+D0s/hq3+1eL/DGo2nibQ4sZL3dpIJAij+86eYg93FDBbnMftW/F7xl+zR4X+Gi/Djwzoes6fqGuWvhj+w7vzUmfeh+zQ2zKypHkRSJufcFJj+UjNVLH46/F74X+P/COl/GTw14Ui8O+MdSXSNM1fwhdXD/YL2QEwW9ys4G8vgjfHhcqT7V5x/wUX8b6Jqfwm+CP/CRX+q+B/wC1vF+m6tctHHIl/pdqkEn2mUbVYrNB9oTgAtu6A4OPS/ht+zpq/i3xL4O8feOfi/qvxU0jSlXVPDNhNpMOmW0Zkj/c3EyJzNKqNlXcKwJ6DkFD6HIftnfCfwnpPxJ+C3j+10aOPxhqnxR8O2N3qpkkaSSBfMxGFLFVX92hO0DJUE5NfRvxf+Kn/CofDVtrH/CIeK/Gvn3a2n2Dwfpn2+7j3I7+a8e5cRjZtLZ6ugxzXkn7Q37L/wAQvjj4x0rUbH4zf8IvoOi6pZ65pGif8Itb3f2K/t0ISfzjKjSfMztscFfmwQcCvcvh9omv+HfB2m6d4o8Sf8Jfr0CMLrW/sEdl9qYuxDeTGSqYUquAedue9MDy/wCG37VH/CyPGuneHf8AhUHxW8L/AG3zP+Jt4l8M/Y7CDZG0n72XzW27tm1eDlmUd68g+Gnx9/ac+Ld/4603w/4U+G8cng/xFd6LdarqE19Fa3jwHa0ECKzP5g4YyOVXEiDaCDX2jX5q/svW198Xvid8bI/hp8dNV8Ca1qPjHVdVm0mPQ1vrW60ppl8q6QTqqwzM0rKWDb8ImV4BoBH0/wCGrnw9+3F8GxaeM9L1Hw+2heITaeI/DcV4BH9usmzJazOB+8gJZHIGDwvIK5rjfhb8P/CfjL9pvQ/Hvwe8Oab4W8AeGbC+0zU9d0W2S1svE80oCrDbpGAssUDoWaccM4CgsEyOp8VfscTT/s8QfC3wh4/1Dwy0+pHUtb169sxqNxrTPvadbhS6bhI7Rlsk5WMIwYMc7fwn+Cvxg8CeJ9Fm8QfHOLxT4S0+NoX8NQeCrHTI5I/JZIkWWFt0aoxRgFGCE29DQBh/tOGP4e/Gz4EfEWzUpqF34kj8EXqx8G6tL9JNiv6rFLGJAPUmvUtL/Z1+FGianaajp3wx8G6fqFnMlxbXdroFpHLBKjBkdHWMFWUgEEHIIBFcP8Y/CGt/FL9oT4U6I2j3I8F+FZn8X6hqkif6PLexhobKBG7yK7NIR/dx6173QIKKKKYgryn4T/stfDD4H+JdS8QeCfDH9i6vqULQXVx9vurjzELhyNssrKPmUHIAPFerUUAFFFFABRRRQBzehfDXwh4X8Q6lr2jeFdE0jXNSLtfanY6dDBc3Rd97mWVVDOWf5juJyeTzXSUUUAFFFFABRRRQBX0/T7XSbC2sbG2hsrK2iWGC2t4xHHFGoAVFUcKoAAAHAAqxRRQAVX0/T7XSbC2sbG2hsrK2iWGC2t4xHHFGoAVFUcKoAAAHAAqxRQAUUUUAV9P0+10mwtrGxtobKytolhgtreMRxxRqAFRVHCqAAABwAKsUUUAFFFFABRRRQBX0/T7XSbC2sbG2hsrK2iWGC2t4xHHFGoAVFUcKoAAAHAAqxRRQAUUUUAFQX9hbarY3Fle28V5Z3MbQz286B45Y2BDIynhlIJBB4INT0UAYXg/wJ4a+HumS6d4V8O6V4a0+WY3Elpo9lFaRPKVVS5SNQCxCqM4zhQOwrdoooAKKKKAOU8J/CbwP4C1O51Hwz4N8P+HdQukMc93pOlwWssqlgxV3jQFhkA4J6jNdXRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUV474s8Kal4QvPDWs2XiPW9S8X32tWNpcQvqE4sLyB5h9sVbIu0MSx23nyqUUOPJTdI53FvYqACiiigAooooAKKKKACiq+oWSalYXNpI80cc8bRM9vK0UihgQSrqQytzwykEHkEGvJvhl8PtP8AGnw28J+IL3VPE8V7q2k2l/PHb+KtUEaySwo7BQbkkKCxxkk47mgD2GiuD/4Uzov/AEF/Fv8A4Vmp/wDyRR/wpnRf+gv4t/8ACs1P/wCSKQHeUVwf/CmdF/6C/i3/AMKzU/8A5Io/4Uzov/QX8W/+FZqf/wAkUAd5RXB/8KZ0X/oL+Lf/AArNT/8Akij/AIUzov8A0F/Fv/hWan/8kUAd5RXB/wDCmdF/6C/i3/wrNT/+SKP+FM6L/wBBfxb/AOFZqf8A8kUAd5RXB/8ACmdF/wCgv4t/8KzU/wD5IrJ8TeHF+GlnYanouq6411c6tpmnSDU9Zur+MwzX0CSgR3EjqGKkrvADAE4IzQB6lRRRTAKK4P4pD7beeCtIeW7gttW1trWeSxv7izmVVsbuYbZIJEb70KghiVxnjIBB/wAKZ0X/AKC/i3/wrNT/APkikB3lFcH/AMKZ0X/oL+Lf/Cs1P/5Io/4Uzov/AEF/Fv8A4Vmp/wDyRQB3lFcH/wAKZ0X/AKC/i3/wrNT/APkij/hTOi/9Bfxb/wCFZqf/AMkUAd5RXB/8KZ0X/oL+Lf8AwrNT/wDkij/hTOi/9Bfxb/4Vmp//ACRQB3lFcH/wpnRf+gv4t/8ACs1P/wCSKP8AhTOi/wDQX8W/+FZqf/yRQB3lFcH/AMKZ0X/oL+Lf/Cs1P/5Io8HPPo/xB17wvHe3dzo+naNp13brfXD3MwlnuL8Ss00haR8iGMAMxChABjmmB3lFFcV8X7x7PwUAjTJ9q1TS7F2t7ma2kVJ7+3hcrJC6OpCyNjDY7EEZBAO1org/+FM6L/0F/Fv/AIVmp/8AyRR/wpnRf+gv4t/8KzU//kikB3lFcH/wpnRf+gv4t/8ACs1P/wCSKP8AhTOi/wDQX8W/+FZqf/yRQB3lFcH/AMKZ0X/oL+Lf/Cs1P/5Io/4Uzov/AEF/Fv8A4Vmp/wDyRQB3lFcH/wAKZ0X/AKC/i3/wrNT/APkij/hTOi/9Bfxb/wCFZqf/AMkUAd5RXB/8KZ0X/oL+Lf8AwrNT/wDkij/hTOi/9Bfxb/4Vmp//ACRQB3lFeeaVayeDfiTofhuxv9RuNJvdJ1PUZ49Tvpb6Rpo5rCOMiWZndVCyyfIGC5cnGea9DpgFFFeS6F4LsvF/izx4t5qPiKAabrYtYRZ+JdShQq9la3J+RbjauHuHACBVChQBxkgHrVFcH/wpnRf+gv4t/wDCs1P/AOSKP+FM6L/0F/Fv/hWan/8AJFIDvKK4P/hTOi/9Bfxb/wCFZqf/AMkUf8KZ0X/oL+Lf/Cs1P/5IoA7yiuD/AOFM6L/0F/Fv/hWan/8AJFH/AApnRf8AoL+Lf/Cs1P8A+SKAO8org/8AhTOi/wDQX8W/+FZqf/yRR/wpnRf+gv4t/wDCs1P/AOSKAO8org/+FM6L/wBBfxb/AOFZqf8A8kUH4V6Xow+32+q+J2ntf38a3HibUJoyy/MA0bzFXXI5VgQRwQRTA7yiua+GWsXfiH4b+E9V1Cb7Rf32k2lzcS7Qu+R4UZmwoAGSScAAV0tABRXB/GQZ8NaYPNu4fN1vTrVms7+4s32z3UcD/PBIjHCysQCSu4KSDij/AIUzov8A0F/Fv/hWan/8kUAd5RXB/wDCmdF/6C/i3/wrNT/+SKP+FM6L/wBBfxb/AOFZqf8A8kUgO8org/8AhTOi/wDQX8W/+FZqf/yRR/wpnRf+gv4t/wDCs1P/AOSKAO8org/+FM6L/wBBfxb/AOFZqf8A8kUf8KZ0X/oL+Lf/AArNT/8AkigDvKK4P/hTOi/9Bfxb/wCFZqf/AMkUf8KZ0X/oL+Lf/Cs1P/5IoA7yiuD/AOFM6L/0F/Fv/hWan/8AJFQaBayeEviTbeG7O/1G50mfSbjUXj1O+lvZPOE0EYIlmZ3ChSfkDbcknGTmmB6HRRRQAVm+IYNXudGuYtCvrLTdWYDyLrUbN7uCM7hndEksTNxkcSLgkHnGDpUUAeI/CnxF8W/G3w18LeNrnWPBt8mtaLa6uNBttBurJy00CSiEXbX0wXG7bvMJ9do6V3SfFnRT4F03xW9rrMlhekR/ZtP0i61G6gl+YPHJDaxyspRkdGONoZcZ5Gec/Z21ay0L9lj4XahqN3DY2Nv4P0mSa5uJAkcaizi5ZjwBW18ENDvNC+H6i+gktZ9R1XVdZFvOhSWFL3Ubi8jjdTyrqk6qwPIIPSkMk+C83hy68DNd+Fbu+vNIu9X1a7L6lbSW1wlzLqNzJdRNFLHG6eXcNMgVlBAQZJ+8ei8T+K9M8HaWb/VZ5IoS3lxxwQSXE874JEcUMatJK5CsQiKzEA8cGuK/Z5/5EHVf+xu8Uf8Ap+v60fiKPC+ta74Y8O6rrjaJ4omln1Tw/NbyrHcrNBGIZZId6tG7CO7KmN1YMsj/ACkAkAFrw18W/DHizXbfRLK7vINbns5dQTTNT0y6sLn7PG8aPKYriNGVd00YBIGSTjO1scD4q/aIsvD3xu0bw41t4obShpGrPfQ23g7VLgy3UNxp6QvEyWrGWNVluAZIi0fzpuOWjzv+HVu9B+LNj4fv9Tl8ZXK6Dc3Y1zUrW1S+00G4t0MDNbwxL5dzjeoCLzYuSWwuybxNGbb9oTwDfzFYbN/D2u6es0jBVa5kuNLljhGertHbXDhRziJz2NAHX+EfF9j420ttQ0+DVLeBZTEU1fSbrTZtwAJIiuYo3K8j5guDyAeDjmtW+PHgrRtSurKbUruf7HK8N5eWOlXd1ZWToSHW4uoomhgKkEN5jrtwc4wa66LxLpE+uPoseq2UmspCbhtOW4Q3CxBgpcx53BQWUZxjLAd68cs/iJ418S+B7fx5P4j8E+DfB9/ALiDT9Y0q4vbgRODsSacXcCpMeA0IiYo25AXIyQD2DWvE1joXh+XWphdXlhGiyZ0uymv5ZFYgAxxQI8knUH5VPGT0BNcXo37Rfw/8QxaRPp2tT3dhqqQPbanHpl39hBmVWijkufK8qKRg6Dy5HVwWAKg8Uz9mH/k2r4Tf9ijpP/pHFXmEMMdv/wAE1V8qNYtvwo80bABh/wCyN+767vmz1zzQB9H6xrFj4f0u61LU7uGw0+1jMs9zcOEjjUdSxPAFcNB+0B4KkuYILi71XSmubu3sbV9Y0G/0+O7nmlWGJIHngRZizuv+rLYB3HCgmofjbJ9iPgXUr1gvhrTvEkN1rbOP3aQC3uFgkf0SO8azlLHAQR7ycKa6Lx34y8JeGNItZ/FF9YpaT3ELWkE6efJczq6vCIIVDPLIHVWURqzZUEcigCz4x8d6L4CsYbnWbmaP7RJ5VvbWdpNd3Nw+M7YoIUeSQgckKpwBk8UeDvHmiePbKe50a6lk+zyeVcW13ay2lzbvgELLBMqSRkgggOoJBBry/wAd23iuz/aAtbrSvE/h7w7BqWgQ2GmN4h0WXUFluEuJpLqKFkvLfY7o9oxQ7zIIMjHlNnS8G6brlv8AGiWfxF438OazrC6FJBPpPh/QJ7GTyhPG0Mty73twBsLTiNSELedMQWCtgAb4Ut/i7H4rGqeJPDHgy4M0v2c3Vn4pu2NhZNIpZIIW00B3wqs26RfMdR8yKEVPYKKKYgooooAKKKKACiiigArg/gH/AMkL+HP/AGLenf8ApLHXeVwfwD/5IX8Of+xb07/0ljoA1rL4j6DqHiVtDguLprwF0WdrC4WzlkUsHijujGIZJFKPmNHLjY+QNpx01fOmlR3/APwy/wDB3SGaX/hJo77wtZXEBf8A0gXVpe2rajGxzkukdteGTnpHJnPOfdNZ8X6D4cv9LsdW1vTtLvdVm+z6fbXt3HDJeS8fJErEGRuRwuTyKQyj45+IWi/DqzsLnWTqDC/uvsVrDpml3WozzTeVJLtWG2jkfhIpGJ24AU5PSqngf4r+HviFqeqadpJ1WHUNNhguLq01jRL3S5UimaVYnCXUMZdWMEwyoIyhBrsK8x+GUd74i03xr4ssJ4rXUPEOo3C6ZPewmeKG3tl+y2zFFdC8TtC9wFDqSLgjcuflYHp1YHivxzpPgxIDqJvZpZ8mO10zTrjULhlBVWfybeN32KXQF9u1dy5IyK5vS9D+K8Wp2j6j408G3WnrMjXMFr4Qu4JZIgw3qkjao4RiMgMUYAkEq2MFulpc237Q3iZ7kulpe+FtKFgHb5ZHgu9R+1bB6qLmz3f9dI/agDvrC+t9Usre8tJ47m1uI1limiYMroRkMCOoIqevOP2fhM/w4a4kLNBea5rd7ZSMciSzm1W7ltXT/YaB4mX/AGSvSuw8M+L9B8a2El94e1vTteso5mt3udMu47mNZVxuQshIDDIyOozQIp+HfiH4d8W63qGlaPqceoXlhbW15N5KOYjDO0qwyJLjZIrNbzDKM2ChBxWN8Zf+Rb0b/sZNF/8ATjb1n+H/APk5Xx5/2KPh3/0s1qtD4y/8i3o3/YyaL/6cbekM7yiiimI4P4kf8jX8MP8AsZJP/TVqFbPjj4h+Hfhvol1qviLU49Ps7a2mvJMI8svkxKGlkWKMM7qikFiqnAOTWN8SP+Rr+GH/AGMkn/pq1Cs/9p7/AJNq+LP/AGKOrf8ApHLSGemUUVkeGfF+g+NbCS+8Pa3p2vWUczW73OmXcdzGsq43IWQkBhkZHUZpiKF98R9B07xJFoc1xdfbHkELTR2FxJaQyEKVjluVjMMUjb02pI6s29MA7hnpq+dNdjv4v2W/jBpUjSr4jkvfFFnawF/3/wBpu766bTUU5yGdLmzMfPSSPGOK9b8YaX4+vdTifwr4l8N6Np4hCyQax4duNQlaXc2WEkd9AAuNo27CQQTuOQAhnXkhQSTgDqTXNeG/iNoXi3UZ7LTZ7p5o081HudPuLaK6j+U+Zbyyxqlwg3Jl4mdRvXJ+YZ474k6D45vP2eviTpd9qNj4g8V3mhalDpreHdMl07LvaMsUao9zOxk8zOGDj7yjaMZM3jW/i17xn8GJdEnW6t5NWuNUZrVvlbTv7IvI/N46x+dc2Y9N0kftgA9RrI8T+K9N8IacLzUnuNjMUjgs7SW7uJmClisUEKvJIwVWbCKThSegNGs+L9B8OX+l2Ora3p2l3uqzfZ9Ptr27jhkvJePkiViDI3I4XJ5Fcj4kS5g+PXgO7cumlvoWt2O8tiNrx5tOlhTHdzDb3bD/AGUk96YjttD1yy8R6XBqFhK0ttLnHmRPFIjAkMjxuAyOpBVkYBlIIIBBFclon/JcvGH/AGL2i/8ApRqdVPhKJpvE3xVvMs+m3Xir/QZM5Rli02wgn2egW5huVP8Atq/1q3on/JcvGH/YvaL/AOlGp0hneVwfxq/5Euy/7GHQv/TtaV3lcH8av+RLsv8AsYdC/wDTtaUxHdkhQSTgDqTXNeG/iNoXi3UZ7LTZ7p5o081HudPuLaK6j+U+Zbyyxqlwg3Jl4mdRvXJ+YZy/jzpuqa18DfiJp+hxTz61d+HNRgsYrUkSvcNbSLGqEfxFioHvisjxrfxa94z+DEuiTrdW8mrXGqM1q3ytp39kXkfm8dY/OubMem6SP2wDPUao61rVn4e06S+v5vJt0KrlUZ2ZmYKqKigs7MxCqqgliQACTVbWfF+g+HL/AEux1bW9O0u91Wb7Pp9te3ccMl5Lx8kSsQZG5HC5PIrkfislzH4n+Fl4pdNOtPFJN/IGwiJJpl/BDv8AUNczWyD/AG3SgR1nhbxbpvjLTPt2mtciNX8uSC+sprO4hbAO2SCZEkjJBVgGUZDKRwQa2a8u0yLUr741fEqbSbmKBV8O6PYQXNxE09tDqKvqUrh4ldC5WK4snZQylkdBuHBF7S9D+K8Wp2j6j408G3WnrMjXMFr4Qu4JZIgw3qkjao4RiMgMUYAkEq2MEGdB4n+Ifh3wdc2lvq+px21zdXNraxwIjyyb7mdbeAsqAlEeVlQOwCZOCRXR15n+0N/yIOlf9jd4X/8AT9YV6LfX1tpllcXl5cRWlpbxtLNcTuEjiRRlmZjwAACSTwAKAJ65my+I+g6h4lbQ4Li6a8BdFnawuFs5ZFLB4o7oxiGSRSj5jRy42PkDaca2geIdK8V6Pbatomp2es6VdKWgvtPuEngmAJBKOhKsMgjg9jXgmlR3/wDwy/8AB3SGaX/hJo77wtZXEBf/AEgXVpe2rajGxzkukdteGTnpHJnPOUB6fq//ACXXwp/2Lesf+lWmV3lcHq//ACXXwp/2Lesf+lWmV3lMQVwfw4/5G74o/wDYyRf+mnTq7yuD+HH/ACN3xR/7GSL/ANNOnUAbvivxzpPgxIDqJvZpZ8mO10zTrjULhlBVWfybeN32KXQF9u1dy5IyK2LC+t9Usre8tJ47m1uI1limiYMroRkMCOoIrgdLS5tv2hvEz3JdLS98LaULAO3yyPBd6j9q2D1UXNnu/wCukftTf2fhM/w4a4kLNBea5rd7ZSMciSzm1W7ltXT/AGGgeJl/2SvSgZ6PXDTfGjwzH41u/Csa67eavaXcNhctY+HNRubS3nljilRJLqOBoE/dzxOSzgKHBYjmui8M+L9B8a2El94e1vTteso5mt3udMu47mNZVxuQshIDDIyOozXjvxAsW8AWXxF+JPg/x5qE92bhr648Kxmwn0++1OG1htEtCfs5uEeX7NBFtWYEO2QOSpAPeaQkKCScAdSa5Dxhpfj691OJ/CviXw3o2niELJBrHh241CVpdzZYSR30AC42jbsJBBO45AHMfEnQfHN5+z18SdLvtRsfEHiu80LUodNbw7pkunZd7RlijVHuZ2MnmZwwcfeUbRjJAOx8N/EbQvFuoz2Wmz3TzRp5qPc6fcW0V1H8p8y3lljVLhBuTLxM6jeuT8wz01eXeNb+LXvGfwYl0Sdbq3k1a41RmtW+VtO/si8j83jrH51zZj03SR+2O6ufF+g2fiW08O3Gt6dB4gvIWuLbSZLuNbueJc7nSIncyjByQMDBoET67r+m+GNLm1HVr6DTrGLG+e4cIoJOAOepJIAA5JIA5NYejeO9M8b6RrDabBq8K2qMjnVdFvNODkq2DH9pij8xePvJuHTnkVxHxhn8Qn4sfDaxsL+HRdG1CLUraXV5Y0le1vSLdrfyEcGPz3hW9RS6kBXk4P3H6LwxfX9pceJ/Dd5rtx4p/sqzhlOr3ccCTmSUTboJRAkce9FjR+EQ7ZkyP4ihl/4Mf8ke8C/9gGw/9J0rsq434Mf8ke8C/wDYBsP/AEnSuypiOD+Mv/It6N/2Mmi/+nG3ruyQoJJwB1JrhPjL/wAi3o3/AGMmi/8Apxt6d8edN1TWvgb8RNP0OKefWrvw5qMFjFakiV7hraRY1Qj+IsVA98UDNTw38RtC8W6jPZabPdPNGnmo9zp9xbRXUfynzLeWWNUuEG5MvEzqN65PzDPTV5d41v4te8Z/BiXRJ1ureTVrjVGa1b5W07+yLyPzeOsfnXNmPTdJH7Y7rWfF+g+HL/S7HVtb07S73VZvs+n217dxwyXkvHyRKxBkbkcLk8igQ3xT4x0fwXYw3Ws3yWaXEwt7eMK0k1zMVZhFDEgLyyFUdtiAthWOMA0zwj400rxxp0t5pUlzshl8maC+sp7K4hfarbZIJ0SRDtZWAZRkMCOCK07zU7PTmtlu7uC1a5lEEAmkCGWQgkIuT8zEKxwOcA+leTfDseIpvG/xHttR1LTL7xjDY2Fumu2NnIulIuLloIWszOXSWJ3eSVDMWdJ4SJFDKsYB7FWB4r8c6T4MSA6ib2aWfJjtdM0641C4ZQVVn8m3jd9il0BfbtXcuSMiub0vQ/ivFqdo+o+NPBt1p6zI1zBa+ELuCWSIMN6pI2qOEYjIDFGAJBKtjBbpaXNt+0N4me5LpaXvhbShYB2+WR4LvUftWweqi5s93/XSP2oGd9YX1vqllb3lpPHc2txGssU0TBldCMhgR1BFT15j8DL1NP8AhXdapqFylvpsmsa7qcF3cSBYhYSapdzW8u4nCxG3eJlPACEdAK77QPEOleK9HttW0TU7PWdKulLQX2n3CTwTAEglHQlWGQRwexoEYPh34reGvFWvXOk6Zd3VxcQSPCLh9OuY7OeRCQ6Q3TxiGdlKtkRuxG1s42nFG5/5Lrp3/Yt3P/pVBXnFv4d8b+EvDPg74fpd6GNI0y/0mHTb6yu5pdS1OxtLu3dvMhaNUg228R8yQSSh+QAhkXHo9z/yXXTv+xbuf/SqCkM7yiiimIKzfEPhvSPF2jXOka7pdlrWk3IAnsNRt0uIJQGDANG4KtggHkdQDWlRQBwegfAP4Y+FNWg1TRPhz4S0bU7c7ob3T9DtYJoz6q6Rgg/Q1r+M/hp4Q+I6WieLPCmieKEtCxt11nTobsQlsbinmK23O1c464HpVb4g/ERPh5/YktzoWqanYalqVrpcl9p5t/LsZLm5itoWmWSZHKtJOg/dLIQASQBjPXUAefaR+zx8KvD+qWmp6X8M/B2m6jaSrNb3lpoFpFNDIpyro6xgqwPIIORXV654R0LxOQdY0XTtWIgktgb61jmxDI0bSR/MD8rNFESvQmNCfujGtRQBieE/A/hzwFpp07wxoGl+HNPLlzaaTZR2sRY9TsjUDPvirHiPwvo3jHSJtK1/SbHXNLmx5tlqVslxC+Om5HBU/iKr+IPF1l4b1bw1p12szT+INQfTbQxKCqyra3F0S5JGF8u1kGRnkqMckjboAxfC3grw94GsDY+G9B0zw/ZHGbbS7OO2j46fKigd6pQ/C/wZbeLH8UQ+EtCi8TPktrSabCLxs9czBd5z9a6eigDk7P4R+BdO8JXfhW08F+HrXwxeSebc6LDpUCWU75U7nhCbGOUTkj+FfQVV/wCFIfDn/hF/+Ea/4QDwv/wjn2n7b/Y/9jW32T7Rt2+b5OzZv28bsZxxmu2ooAzNB8L6N4W0ODRdF0mx0jRoFZItOsLZILeNWJLBY1AUAliSAOST61i+GvhF4F8F6vNqvh7wX4e0LVJs+be6ZpUFvNJnOdzogY5yep7mutooAzvEHhzSfFmkXGla5pdnrOl3A2zWWoW6Twyj0ZHBUj6iofC/g/QfBGmDTfDmiadoGnBt4tNLtI7aEHAGdiADPA7dq16KACiiigAooooAKK8g+L/xM+LHgzxLbWXgT4Mf8LF0iS0WaXVP+EptNL8qcu4aHyplLNhVRt44O/H8JrM+G3xb+NPifxrp2meLfgH/AMIV4fn8z7Trv/CZWV/9m2xsyfuI0DvucKnB435PANA7HuVFFFAgrg/gH/yQv4c/9i3p3/pLHXeVwfwD/wCSF/Dn/sW9O/8ASWOgDoLTwN4bsPFF34ltvD+lW/iO7jENxrEVlGt3NGMYR5gu9l+VeCccD0qXWfCGg+I7/S77VtE07VL3SpvtGn3N7aRzSWcvHzxMwJjbgcrg8CteigAqvp+n2uk2FtY2NtDZWVtEsMFtbxiOOKNQAqKo4VQAAAOABVisLx3400z4c+Dda8Ua080ek6RayXl09vC0zrGgyxCqCTwPoOpwATQBu1i+K/BPh3x3YxWXiXQNL8Q2UUonjt9Vs47qNJBnDhZFIDDJ5681yWoftD/D3T/D3g/Wh4kt7yx8X3UNnoX2FHnlv5JGC4SNAXwpPz5A2HhsHAr0egBFVUUKoCqBgADAArJ8M+ENB8FWElj4e0TTtBspJmuHttMtI7aNpWxucqgALHAyepxWvRQBwGmfs+fC3RNYttW074a+ELDVLaYXEF9a6DaxzxSg5Dq6xhlYHkEHOaf8Zf8AkW9G/wCxk0X/ANONvXeVwfxl/wCRb0b/ALGTRf8A0429AzvKKK4bwl8X9G8Z/E/x94Esra+i1fwX/Z/9oTXEaC3l+2QNNF5LByzYVSG3KuD0z1oEM+JH/I1/DD/sZJP/AE1ahWv4z+GnhD4jpaJ4s8KaJ4oS0LG3XWdOhuxCWxuKeYrbc7VzjrgelZHxI/5Gv4Yf9jJJ/wCmrUK7ygDE8I+B/DngDS20zwvoGl+G9OaUzNZ6RZR2sJkIALlI1A3EKozjPA9Kk8M+ENB8FWElj4e0TTtBspJmuHttMtI7aNpWxucqgALHAyepxWvRQBh3fgbw3f8Aii08S3Ph/SrjxHaRmG31iWyja7hjOcokxXeq/M3AOOT61uUVweifHLwTrvi/xl4Yh12C21vwiBJq9rfA2xghMayeeDIAGiAYZkHyjjJwVJAO8rD0HwN4b8K6jqd/ovh/StHvtUk86/urCyjglu5Mk75WRQXbJPLZPJqn8NviToHxb8I2vifwxdS32iXckqW91JbyQiYRyNGXUOoJUlThsYIrqKAMjWfCGg+I7/S77VtE07VL3SpvtGn3N7aRzSWcvHzxMwJjbgcrg8CpPEfhnR/GGjz6Tr2k2Ot6VcY86x1G2S4gkwQRuRwVOCAeR2rTooArabplno2n21hp9pBY2NtGsUFrbRiOKJFGFVVUAKAOABwK4zRP+S5eMP8AsXtF/wDSjU67yuD0T/kuXjD/ALF7Rf8A0o1OgDvK4P41f8iXZf8AYw6F/wCna0p/xU+L+jfCH/hEP7Ytr65/4SjxFZ+GbP7DGj+Xc3O/y3k3OuIxsOSu49MKaZ8av+RLsv8AsYdC/wDTtaUDO8rD0HwN4b8K6jqd/ovh/StHvtUk86/urCyjglu5Mk75WRQXbJPLZPJrcooEZGs+ENB8R3+l32raJp2qXulTfaNPub20jmks5ePniZgTG3A5XB4FXtS0yz1nT7mw1C0gvrG5jaKe1uYxJFKjDDKysCGBHBB4NWaKAMzw54Z0fwfo8Gk6DpNjomlW+fJsdOtkt4I8kk7UQBRkkngd606hvLuOws57mbf5UMbSP5aM7bQMnCqCWPHQAk9q8qg/ar+F9z8HI/ieniiBvCcjiBZQjG4NyTgW3kgbzNn+ADOPm+781AHW+MPhB4D+Id/DfeKvBPh3xNewxeTFc6xpMF3JHHknYrSISFyScDjJPrWtpfg3QND8Mjw5p2h6bp/h4RPANJtbSOO0Eb5Lp5SgJtbc2RjB3HPWtWGVZ4Y5VDBXUMA6FWwfUEAg+x5p9AGfoHh7SvCmj22k6Jplno2lWqlYLHT7dIIIQSSQiIAqjJJ4Hc1TtPA3huw8UXfiW28P6Vb+I7uMQ3GsRWUa3c0YxhHmC72X5V4JxwPStyigDg9X/wCS6+FP+xb1j/0q0yu8rg9X/wCS6+FP+xb1j/0q0yu8oAK4P4cf8jd8Uf8AsZIv/TTp1Z/7Nvxn/wCGhPgt4d+IH9j/ANgf2v8Aaf8AiXfavtPleVcywf6zYm7PlbvujG7HOMnQ+HH/ACN3xR/7GSL/ANNOnUhnReK/BPh3x3YxWXiXQNL8Q2UUonjt9Vs47qNJBnDhZFIDDJ5681sqqooVQFUDAAGABS0UxGR4Z8IaD4KsJLHw9omnaDZSTNcPbaZaR20bStjc5VAAWOBk9Tiq1z8PfC174qg8TXHhrR5/EkC7YtYlsImvIxjGFmK7wMccGugooAKK4PRPjl4J13xf4y8MQ67Bba34RAk1e1vgbYwQmNZPPBkADRAMMyD5Rxk4Kk6nw2+JOgfFvwja+J/DF1LfaJdySpb3UlvJCJhHI0ZdQ6glSVOGxgigC5oPgbw34V1HU7/RfD+laPfapJ51/dWFlHBLdyZJ3ysigu2SeWyeTUtz4Q0G88S2niK40TTp/EFnC1vbatJaRtdwRNnciSkblU5OQDg5Na9FAFDXdA0zxRpF1pWs6daavpd0my4sb+BZ4JlznDowKsMgcEVQsPC2i+DfCk2leH9IsND0uGGQxWOm2yW8CZBJ2ogCjJ9BW9VTVv8AkF3n/XF//QTQBzHwY/5I94F/7ANh/wCk6V2Vcb8GP+SPeBf+wDYf+k6VyX7W/wAX9Z+Av7Pfivx34ftrG81fSvsnkQ6lG727ebdwwtuVHRj8sjEYYcgdelIfU6P4y/8AIt6N/wBjJov/AKcbeu8rg/jL/wAi3o3/AGMmi/8Apxt67ymIw9B8DeG/Cuo6nf6L4f0rR77VJPOv7qwso4JbuTJO+VkUF2yTy2Tyal1nwhoPiO/0u+1bRNO1S90qb7Rp9ze2kc0lnLx88TMCY24HK4PArXooApa1omneI9LuNN1awtdU064G2a0vYVmhlGQcMjAgjIB5HaoPDfhbRfBukQ6V4f0iw0PS4cmKx022S3gTJydqIAoyfQVqVgePfFE3gnwVrev2+jX/AIhm020kul0vTED3NyVUnZGpIyxx0GT6AnAIBv1i+K/BPh3x3YxWXiXQNL8Q2UUonjt9Vs47qNJBnDhZFIDDJ56815Bpn7aHw68VWHgRvCdxd+LdX8YXKwWeh6VGr3tqoI8+W6QsBCkIyWLHBxldy5Ye80AV7vT7XULCaxuraG5sp4mhltpow8ckZGGRlPBUgkEHjFV9A8PaV4U0e20nRNMs9G0q1UrBY6fbpBBCCSSERAFUZJPA7mtCigDn/Cnw88K+A/tf/CM+GdH8O/bJPNuf7JsIrXz3/vP5ajcfc1h3P/JddO/7Fu5/9KoK7yuDuf8Akuunf9i3c/8ApVBQB3lFFFABRRRQB5P+08l9J8K7dNMlgg1JvE/hsWstyheJJf7csdhdQQSobBIBBIzyKzPiF4Um+D/gnXviFpvifxLqOraBZTavqEeq6vNc2upwwoZJ4jas3kQsyK+wwJFtfaeVDK3UfGn4YX/xd0HT/D6a1baToR1GzvdUjayllurmO3u4LlI4Jknj+zsTDtLlZDhsgAjJrj4a+K9aZNN8U+NYNc8LxOj/AGK30cWt3ehGDKl3OJWSRSQCyxQwhsYOVLKUMy/jl4+XQ/EHhfwrcS+IbHTtat768vb3wxpd5fXoitzbp5KfZIpJId7XSEy7RhY2UMrOpGH8PfFtjpHxB0XR/Cw+IeoaFqvnw3sHi3R9cMdg6RNLHcLe6jDlVYxtE0bSkFpYigXDbvVvGng1vFKWF1ZajLouuabI01jqUMSSmMspV0dGGHicHDJx0Ugqyqy53h3wp4vOq2moeK/GFvqZsyzQ2Og6Y+mWkjMrJumV555JMBjhfMCZ+YqWVCoB538dfhdo3iD4n/Cm9ur3xFFNqPieW3mWx8TalaRIq6HqbAxRw3CpC2Y1y8YVmBcEkO4b07w58MdH8LaZqlhZXniGaDUY/LmfUfEuo30qDay5ilnnd4Thj80TKc4OcqCLHjjwefFlpp0lrdrpus6TdjUNMv3gE628/lyRMWjJG9WimmjYZB2yNtZWwwzvDPhvxxDqsF54l8aWWoQw7s6foehiwt5sqQPM86a4k4zuGyROQM5GQQDzPwn4k0r4B+EfFdzql74k125tfEs9hMNT1m71KVLcs13GYxczOESCwlEjlcF0tyTvbBPVeAtDSP45fEHULXU9Zn06C1srX7Hd6zeXVrHeSebcXDRwyytFHmOSzAVFUKAcYDkVtx/CqE/FHUvFdzf/AGvT7qzMKaLJADElw6RxTXDMWIctDBBGAVG0CTkiQgJ8HPhafhP4f1DTpNXk1ye7vjctezQ+XI0axRW8CP8AM29kgt4Iy5OWKbsDOAAeI+GviJ4e+JPh/TfF2vah8WrDXNUt0vbePQNB8RRWWnI43xxxxQWxtrnarKDJIsyyMCQdhVR6JqXxg1rSv2d4vF11p9/b6608Ol4m0S6SYyyX62K3YsGQT7W3i4WHbvKkKASRneT4d+LvDcz2fg/xfp2leHZJJJRpuq6Gb2S03sWKW0qXEISPcxIWRJducKQoCjo38B2l74In8M6rfX+tQXCSCe+vZgbl3dy/mBlChGVzlNgUR7VCBQoAAPBNQ8ZaP4PtJde8K3Pxf1jxLbHz5LPV/D3iS5ttVAOZIDDNa+RAzruCPEsQRipPyAqe8+OGgXd58QPhVNpniLXfD91qeuzaTdPp2pTLDJa/2VqVwym2LGBnLxIRK0ZdSqkH5RW7/wAIJ4+vlk03VPiJDJoTDYZdO0UWerSJ3D3QnaIMeheK3iYdUKNhgnxO+Hvi3xl4q8H6roXifRdEtfDl82pR22o6FNfPNcNa3Nq2ZEvIQE8q6fC7ch1U7iMrQBQ0HT5Ph18ZtJ8L6fqmr3+ia5oOo6pJBrWp3Govb3FpcWMYaKWd3kVXW9bcm7aPLTaF5z6xXm2ufD3xbqXxl0Txla+J9FtdI0uxudNXSZtCmluJLe5ktJLjNyLxVD7rNNjeVhQzAq/Br0mmIKKKKACiiigDyD4v/s5/8Le8S22sf8LP+I/gryLRbT7B4P8AEH2C0k2u7+a8fltmQ79pbPREGOKzPht+yv8A8K38a6d4i/4W/wDFbxR9i8z/AIlPiXxN9ssJ98bR/vYvKXdt37l5GGVT2r3KigdwooooEFcH8A/+SF/Dn/sW9O/9JY67yuD+Af8AyQv4c/8AYt6d/wCksdAHeUVzNl8R9B1DxK2hwXF014C6LO1hcLZyyKWDxR3RjEMkilHzGjlxsfIG046agArF8a6xe+H/AAhrOpabok/iS/tLSSaDSLZ0SS8cKSIgznA3HjJz7Ang1PHPxC0X4dWdhc6ydQYX919itYdM0u61GeabypJdqw20cj8JFIxO3ACnJ6VU8D/Ffw98QtT1TTtJOqw6hpsMFxdWmsaJe6XKkUzSrE4S6hjLqxgmGVBGUINAHx98Gf2VPHv7O/xG8P8AxQh8NaJ4hudduZbfWvCGlKsS+F4ruUHfp0kj7SIwdsgGBt3BSV+YfeNFYHivxzpPgxIDqJvZpZ8mO10zTrjULhlBVWfybeN32KXQF9u1dy5IyKVrDbub9FQWF9b6pZW95aTx3NrcRrLFNEwZXQjIYEdQRU9MQVwfxl/5FvRv+xk0X/0429bPh34h+HfFut6hpWj6nHqF5YW1teTeSjmIwztKsMiS42SKzW8wyjNgoQcVjfGX/kW9G/7GTRf/AE429AD/AIv+EvGvjPw1bWXgTx9/wrrV47tZpdU/saDVPNgCOGh8qYhVyzI28cjZj+I18XfCT4SfGnUP2nvj5pmmfHz+yfEGn/2B/a+u/wDCG2U39reZZO0H7hn2QeUgKfITvzk81+hVZlh4X0bSta1XWLLSbGz1fVfK/tC/t7ZEuLzylKRedIBuk2KSq7idoOBilYadjg/EFhqWlTfBqy1jVf7d1e21gQ3mqfZ1t/tk66PfiSbyl+WPewLbF4XOB0r0+uD+JH/I1/DD/sZJP/TVqFbPjj4h+Hfhvol1qviLU49Ps7a2mvJMI8svkxKGlkWKMM7qikFiqnAOTTA6OiiigQV8WftM/sr+K/2svivqNyNNsPAemeFrBrLTdcu1E1x4jmcJKIpRG/y2aHK/NlgWfAO5lX6tvviPoOneJItDmuLr7Y8ghaaOwuJLSGQhSsctysZhikbem1JHVm3pgHcM9NS3GnY4f4K6rr+rfDXRj4n8IxeB9btYzZXGi2zxvbRGJjGGg2EgQsFBQHkKQOQAx7ikJCgknAHUmua8N/EbQvFuoz2Wmz3TzRp5qPc6fcW0V1H8p8y3lljVLhBuTLxM6jeuT8wyxHTUUVkeJ/Fem+ENOF5qT3GxmKRwWdpLd3EzBSxWKCFXkkYKrNhFJwpPQGgDXrg9E/5Ll4w/7F7Rf/SjU663Q9csvEelwahYStLbS5x5kTxSIwJDI8bgMjqQVZGAZSCCAQRXJaJ/yXLxh/2L2i/+lGp0AfGP7VHwk+NOg/8ACoP+Ei+Pn/CU/bfiJo9npv8AxRtlZ/2dev53lXnyOfN8vDfumwrbuTxX0E/gL4jeCPBd5/wsD4p/8LL+1eIfDn2L/inrbSvsW3VrfzP9Sx8zfuT733fL4+8a911zwvo3if8As/8AtjSbHVv7Pu49Qs/t1sk32a5jz5c8e4HZIuTh1wRk4Nct8av+RLsv+xh0L/07WlKxVzvKKQkKCScAdSa5rw38RtC8W6jPZabPdPNGnmo9zp9xbRXUfynzLeWWNUuEG5MvEzqN65PzDLJOmooqjrWtWfh7TpL6/m8m3QquVRnZmZgqoqKCzszEKqqCWJAAJNAFq5laC3lkSF7h0QssMZUM5A+6NxAyenJA9SK+ALT9mL4i2Hj1/wBoyDwXosfiRtYOrH4UjG0WxTYZxNu8sajj97kLjeSfvnZX3V4W8W6b4y0z7dprXIjV/LkgvrKazuIWwDtkgmRJIyQVYBlGQykcEGtmluO9iO2lae3ikeF7d3QM0MhUshI+6dpIyOnBI9CakrnPE/xD8O+Drm0t9X1OO2ubq5tbWOBEeWTfczrbwFlQEojysqB2ATJwSK6OmIKKK5my+I+g6h4lbQ4Li6a8BdFnawuFs5ZFLB4o7oxiGSRSj5jRy42PkDacAGTq/wDyXXwp/wBi3rH/AKVaZXOfF/8AZz/4W94lttY/4Wf8R/BXkWi2n2Dwf4g+wWkm13fzXj8tsyHftLZ6IgxxXR6v/wAl18Kf9i3rH/pVpld5SGfBH/BPz9nP/hIfgN8NfHf/AAs/4j6Z5d3Pd/8ACNad4g8rRW8nUJh5RtvLOY5PLzIu75i78jNfXfw4/wCRu+KP/YyRf+mnTq7yuD+HH/I3fFH/ALGSL/006dQDdzvKKwPFfjnSfBiQHUTezSz5MdrpmnXGoXDKCqs/k28bvsUugL7dq7lyRkVsWF9b6pZW95aTx3NrcRrLFNEwZXQjIYEdQRTET0UVw03xo8Mx+NbvwrGuu3mr2l3DYXLWPhzUbm0t55Y4pUSS6jgaBP3c8Tks4ChwWI5oA+Zf2mf2V/Ff7WXxX1G5Gm2HgPTPC1g1lpuuXaia48RzOElEUojf5bNDlfmywLPgHcyr9N/BXVdf1b4a6MfE/hGLwPrdrGbK40W2eN7aIxMYw0GwkCFgoKA8hSByAGPcUhIUEk4A6k0rDuLRXM+G/iNoXi3UZ7LTZ7p5o081HudPuLaK6j+U+Zbyyxqlwg3Jl4mdRvXJ+YZ6amIKqat/yC7z/ri//oJqLXdf03wxpc2o6tfQadYxY3z3DhFBJwBz1JJAAHJJAHJrD0bx3pnjfSNYbTYNXhW1Rkc6rot5pwclWwY/tMUfmLx95Nw6c8igCH4Mf8ke8C/9gGw/9J0r5N/be/Yh8AXHwh+IPjTwX8Pr7U/idfXcV/HLptxfXdxNPNfRG5dbYSMhyjykgJhRkgDHH1l8GP8Akj3gX/sA2H/pOldlS3HezPmSX9kj4T/AVtP8QeBPCn9havc6xo9hLcf2jd3G6BtUtHZNs0rqPmjQ5Azx15NfTdcH8Zf+Rb0b/sZNF/8ATjb13ZIUEk4A6k0ALRXM+G/iNoXi3UZ7LTZ7p5o081HudPuLaK6j+U+Zbyyxqlwg3Jl4mdRvXJ+YZ6amIKxvGdxrtr4T1ebwvaWV94iS1kbT7bUZWit5J9p2CRlBIXOM4xnpkdQeKfGOj+C7GG61m+SzS4mFvbxhWkmuZirMIoYkBeWQqjtsQFsKxxgGmeEfGmleONOlvNKkudkMvkzQX1lPZXEL7VbbJBOiSIdrKwDKMhgRwRQB8ufD39j/AMZ/BLxppPxI8MeJLDXPHms3bDxzaX8K2+n6jDcTCSZrXZHugaJvmXj59uSB9xvr+isDxX450nwYkB1E3s0s+THa6Zp1xqFwygqrP5NvG77FLoC+3au5ckZFLYe5v0VBYX1vqllb3lpPHc2txGssU0TBldCMhgR1BFT0xBXB3P8AyXXTv+xbuf8A0qgq94d+K3hrxVr1zpOmXd1cXEEjwi4fTrmOznkQkOkN08YhnZSrZEbsRtbONpxRuf8Akuunf9i3c/8ApVBQM7yiiigQUVm+IZ9XttGuZdCsbLUtWUDyLXUbx7SCQ7hndKkUrLxk8RtkgDjOR5V8O/jV4y+Kvgfw54v8PfD+0/sPU9PhvZV1HXTb3TM8Ss6W0f2ZllCuWjDyvAGK7gAjBiAez0Vh6LrGnfEHwlBfWklwthqEJB2yPbzxHlXQlCGjkVgynBBVlPORXn3gTw/p/hz9ovx/b6dbLbpJ4V8PSytkvJNIbvWQXkdiWdsKo3MScADPAoA9dooooAKK5vxjrfiPSltYfDfhqPX7u437pLvUUsrS3xjHmvtkk+bJx5cT/dOccZzvAvj698Q65rPhzXtHj0LxPpEFtd3Nta3Zu7WSC4MywywzmOMupa3nUho0YGM8YKkgHa0V43oHxb+IPiTVvFeiWnw80n+2PDepLY3csniWRdPkV7S2uU8qb7H5jSlLkAoYQq7f9Z8wrv8Awf48sPFvg1fERB0u3jNxFeR3jqps5reV4bmORs7f3ckUilgcfKSDigDpaK8vvfFvi7xVp7z2nw607WvBV/bkPBqWsCHUby3dSDiye3MJDqRhJriM4bDhDlazv2TjpZ+DEf8AYlomn6L/AMJD4h+w2kdt9mWCD+2r7y0EWB5YVcDZgbcYwMUDPYaKK8q8ZfF7xB4S+Kul+Do/CEGrJrun3V3o1zaaoRLLJbParMlzG8ASCMC6LCQSyEiIgIXZUII9Vorh/DnjnXE1yz0PxjoNloGqX8ckljJpWptqFnceXy8XmvBA6yhfn2mPBUMQx2sBb8T/AA503xzqsh8TQ2viDw8LVIotA1C1WW1E25zJNIrZWUlTEqhl+TY5B/eHAB1tFedfDXQm8OeLfFNhoqLb+BIo7VNPtUYmO3vg04vI4AeFhCi0ARPlWTzwACGFei0AFFFFABRRRQAUUUUAFcH8A/8Akhfw5/7FvTv/AEljrvK4P4B/8kL+HP8A2Lenf+ksdAHmGlR3/wDwy/8AB3SGaX/hJo77wtZXEBf/AEgXVpe2rajGxzkukdteGTnpHJnPOfdNZ8X6D4cv9LsdW1vTtLvdVm+z6fbXt3HDJeS8fJErEGRuRwuTyKitPA3huw8UXfiW28P6Vb+I7uMQ3GsRWUa3c0YxhHmC72X5V4JxwPSpdZ8IaD4jv9LvtW0TTtUvdKm+0afc3tpHNJZy8fPEzAmNuByuDwKQzXrzH4ZR3viLTfGviywnitdQ8Q6jcLpk97CZ4obe2X7LbMUV0LxO0L3AUOpIuCNy5+X06q+n6fa6TYW1jY20NlZW0SwwW1vGI44o1ACoqjhVAAAA4AFMRwml6H8V4tTtH1Hxp4NutPWZGuYLXwhdwSyRBhvVJG1RwjEZAYowBIJVsYLdLS5tv2hvEz3JdLS98LaULAO3yyPBd6j9q2D1UXNnu/66R+1ei1i+K/BPh3x3YxWXiXQNL8Q2UUonjt9Vs47qNJBnDhZFIDDJ5680DOS/Z+Ez/DhriQs0F5rmt3tlIxyJLObVbuW1dP8AYaB4mX/ZK9K7Dwz4v0HxrYSX3h7W9O16yjma3e50y7juY1lXG5CyEgMMjI6jNayqqKFUBVAwABgAVk+GfCGg+CrCSx8PaJp2g2UkzXD22mWkdtG0rY3OVQAFjgZPU4oEcV4f/wCTlfHn/Yo+Hf8A0s1qtD4y/wDIt6N/2Mmi/wDpxt6Zpn7Pnwt0TWLbVtO+GvhCw1S2mFxBfWug2sc8UoOQ6usYZWB5BBzmn/GX/kW9G/7GTRf/AE429IZ3lFFFMRwfxI/5Gv4Yf9jJJ/6atQrP/ae/5Nq+LP8A2KOrf+kctaHxI/5Gv4Yf9jJJ/wCmrUK1/Gfw08IfEdLRPFnhTRPFCWhY266zp0N2IS2NxTzFbbnaucdcD0pDOlrI8M+L9B8a2El94e1vTteso5mt3udMu47mNZVxuQshIDDIyOozUfhHwP4c8AaW2meF9A0vw3pzSmZrPSLKO1hMhABcpGoG4hVGcZ4HpUnhnwhoPgqwksfD2iadoNlJM1w9tplpHbRtK2NzlUABY4GT1OKYjwvXY7+L9lv4waVI0q+I5L3xRZ2sBf8Af/abu+um01FOchnS5szHz0kjxjivW/GGl+Pr3U4n8K+JfDejaeIQskGseHbjUJWl3NlhJHfQALjaNuwkEE7jkAal34G8N3/ii08S3Ph/SrjxHaRmG31iWyja7hjOcokxXeq/M3AOOT61uUhnlHxJ0Hxzefs9fEnS77UbHxB4rvNC1KHTW8O6ZLp2Xe0ZYo1R7mdjJ5mcMHH3lG0YyZvGt/Fr3jP4MS6JOt1byatcaozWrfK2nf2ReR+bx1j865sx6bpI/bHqNYeg+BvDfhXUdTv9F8P6Vo99qknnX91YWUcEt3JknfKyKC7ZJ5bJ5NMCXWfF+g+HL/S7HVtb07S73VZvs+n217dxwyXkvHyRKxBkbkcLk8iuR8SJcwfHrwHduXTS30LW7HeWxG1482nSwpju5ht7th/spJ7112s+ENB8R3+l32raJp2qXulTfaNPub20jmks5ePniZgTG3A5XB4FSeI/DOj+MNHn0nXtJsdb0q4x51jqNslxBJggjcjgqcEA8jtQI4v4SiabxN8VbzLPpt14q/0GTOUZYtNsIJ9noFuYblT/ALav9at6J/yXLxh/2L2i/wDpRqddnpumWejafbWGn2kFjY20axQWttGI4okUYVVVQAoA4AHArjNE/wCS5eMP+xe0X/0o1OkM7yuD+NX/ACJdl/2MOhf+na0rvK4P41f8iXZf9jDoX/p2tKYh3x503VNa+BvxE0/Q4p59au/DmowWMVqSJXuGtpFjVCP4ixUD3xWR41v4te8Z/BiXRJ1ureTVrjVGa1b5W07+yLyPzeOsfnXNmPTdJH7Y9RrD0HwN4b8K6jqd/ovh/StHvtUk86/urCyjglu5Mk75WRQXbJPLZPJoGS6z4v0Hw5f6XY6trenaXe6rN9n0+2vbuOGS8l4+SJWIMjcjhcnkVyPxWS5j8T/Cy8UumnWnikm/kDYREk0y/gh3+oa5mtkH+26V12s+ENB8R3+l32raJp2qXulTfaNPub20jmks5ePniZgTG3A5XB4FXtS0yz1nT7mw1C0gvrG5jaKe1uYxJFKjDDKysCGBHBB4NAjzfTItSvvjV8SptJuYoFXw7o9hBc3ETT20Ooq+pSuHiV0LlYriydlDKWR0G4cEXtL0P4rxanaPqPjTwbdaesyNcwWvhC7glkiDDeqSNqjhGIyAxRgCQSrYwew8OeGdH8H6PBpOg6TY6JpVvnybHTrZLeCPJJO1EAUZJJ4HetOgZ5n+0N/yIOlf9jd4X/8AT9YV6LfX1tpllcXl5cRWlpbxtLNcTuEjiRRlmZjwAACSTwAK5jxh8IPAfxDv4b7xV4J8O+Jr2GLyYrnWNJgu5I48k7FaRCQuSTgcZJ9a1tL8G6BofhkeHNO0PTdP8PCJ4BpNraRx2gjfJdPKUBNrbmyMYO4560AWNA8Q6V4r0e21bRNTs9Z0q6UtBfafcJPBMASCUdCVYZBHB7GvBNKjv/8Ahl/4O6QzS/8ACTR33hayuIC/+kC6tL21bUY2Ocl0jtrwyc9I5M55z73oHh7SvCmj22k6Jplno2lWqlYLHT7dIIIQSSQiIAqjJJ4Hc1TtPA3huw8UXfiW28P6Vb+I7uMQ3GsRWUa3c0YxhHmC72X5V4JxwPSkBz+r/wDJdfCn/Yt6x/6VaZXeVwer/wDJdfCn/Yt6x/6VaZXeUxBXB/Dj/kbvij/2MkX/AKadOrvK4P4cf8jd8Uf+xki/9NOnUAVtLS5tv2hvEz3JdLS98LaULAO3yyPBd6j9q2D1UXNnu/66R+1N/Z+Ez/DhriQs0F5rmt3tlIxyJLObVbuW1dP9hoHiZf8AZK9K63xX4J8O+O7GKy8S6BpfiGyilE8dvqtnHdRpIM4cLIpAYZPPXmtlVVFCqAqgYAAwAKBmT4Z8X6D41sJL7w9rena9ZRzNbvc6Zdx3MayrjchZCQGGRkdRmvHfiBYt4AsviL8SfB/jzUJ7s3DX1x4VjNhPp99qcNrDaJaE/ZzcI8v2aCLaswIdsgclT7F4Z8IaD4KsJLHw9omnaDZSTNcPbaZaR20bStjc5VAAWOBk9Tiq1z8PfC174qg8TXHhrR5/EkC7YtYlsImvIxjGFmK7wMccGgDP8YaX4+vdTifwr4l8N6Np4hCyQax4duNQlaXc2WEkd9AAuNo27CQQTuOQBzHxJ0Hxzefs9fEnS77UbHxB4rvNC1KHTW8O6ZLp2Xe0ZYo1R7mdjJ5mcMHH3lG0YyfV6KAPLvGt/Fr3jP4MS6JOt1byatcaozWrfK2nf2ReR+bx1j865sx6bpI/bHdXPi/QbPxLaeHbjW9Og8QXkLXFtpMl3Gt3PEudzpETuZRg5IGBg1FoPgbw34V1HU7/AEXw/pWj32qSedf3VhZRwS3cmSd8rIoLtknlsnk1Lc+ENBvPEtp4iuNE06fxBZwtb22rSWkbXcETZ3IkpG5VOTkA4OTQI8z+MM/iE/Fj4bWNhfw6Lo2oRalbS6vLGkr2t6Rbtb+Qjgx+e8K3qKXUgK8nB+4/ReGL6/tLjxP4bvNduPFP9lWcMp1e7jgScySibdBKIEjj3osaPwiHbMmR/Eey13QNM8UaRdaVrOnWmr6XdJsuLG/gWeCZc5w6MCrDIHBFULDwtovg3wpNpXh/SLDQ9LhhkMVjptslvAmQSdqIAoyfQUhmX8GP+SPeBf8AsA2H/pOldlXG/Bj/AJI94F/7ANh/6TpXZUxHB/GX/kW9G/7GTRf/AE429O+POm6prXwN+Imn6HFPPrV34c1GCxitSRK9w1tIsaoR/EWKge+Kb8Zf+Rb0b/sZNF/9ONvXeUDPLvGt/Fr3jP4MS6JOt1byatcaozWrfK2nf2ReR+bx1j865sx6bpI/bHdaz4v0Hw5f6XY6trenaXe6rN9n0+2vbuOGS8l4+SJWIMjcjhcnkVFoPgbw34V1HU7/AEXw/pWj32qSedf3VhZRwS3cmSd8rIoLtknlsnk1LrPhDQfEd/pd9q2iadql7pU32jT7m9tI5pLOXj54mYExtwOVweBQIvXmp2enNbLd3cFq1zKIIBNIEMshBIRcn5mIVjgc4B9K8m+HY8RTeN/iPbajqWmX3jGGxsLdNdsbORdKRcXLQQtZmcuksTu8kqGYs6TwkSKGVY/Vda0TTvEel3Gm6tYWuqadcDbNaXsKzQyjIOGRgQRkA8jtUHhvwtovg3SIdK8P6RYaHpcOTFY6bbJbwJk5O1EAUZPoKAOQ0vQ/ivFqdo+o+NPBt1p6zI1zBa+ELuCWSIMN6pI2qOEYjIDFGAJBKtjBbpaXNt+0N4me5LpaXvhbShYB2+WR4LvUftWweqi5s93/AF0j9q9FrF8V+CfDvjuxisvEugaX4hsopRPHb6rZx3UaSDOHCyKQGGTz15oGcX8DL1NP+Fd1qmoXKW+myaxrupwXdxIFiFhJql3Nby7icLEbd4mU8AIR0ArvtA8Q6V4r0e21bRNTs9Z0q6UtBfafcJPBMASCUdCVYZBHB7GrF3p9rqFhNY3VtDc2U8TQy200YeOSMjDIyngqQSCDxiq+geHtK8KaPbaTommWejaVaqVgsdPt0gghBJJCIgCqMkngdzQI8Mt/Dvjfwl4Z8HfD9LvQxpGmX+kw6bfWV3NLqWp2Npd27t5kLRqkG23iPmSCSUPyAEMi49Huf+S66d/2Ldz/AOlUFbnhT4eeFfAf2v8A4Rnwzo/h37ZJ5tz/AGTYRWvnv/efy1G4+5rDuf8Akuunf9i3c/8ApVBSGd5RRRTEFfOv7OPxTbw5+z58LdL1jw34hl1E+F9N+xHR9HuL22vIvskZiIuI1aKFiu1WE7RYYN1TDn3jxDBq9zo1zFoV9ZabqzAeRdajZvdwRncM7okliZuMjiRcEg84weQ+CPgDxH8L/AmkeFdb8Q6X4hstF0+00zTptP0eSwkEMEQjBm33MwkYhUOVCAEHg5GEMs/DbQJ/hz8O5Rqyu1211qWt3sNlG9yY5Lq7nvJYolRS8uxp2RQqlm2jAJOK8z0T4vaRD8c/FeuyaF44TSdQ8PaLp9tct4F1sB54LrVHlUj7Jldq3MB3EAHfwThsfQlFMAooooEeM/F3z5PGUa+JLjxjbeBI9Pia3j8FRX7TXN8ZZPNFw2nobpFSMW5TayoxeXfuKqBzvwaH/CPfHrxVGfD/AI203S9a0DSItKvPEQv9SE32ebU2l33UhlFvgSxkRTyK53g7QXxX0RRSHc8S+D/je1l8ZfGC7fSPE9nb3WtJrFtJfeF9SthcW0ek6dbuYvMt18x/NglURLmRtmVUggmh8J9Oh+J3wS8feDri117QH1bUfEkbyarod5pzrb6hqN9JBLH9ojj3kwzI+FOVyA208V75RQB5unxifTvJ0vVvCfic+KggV7HS9Eubi0mkxyYr7YLVUYglTLLGQCN4RvlrI/ZkvtRXwVrGk67pV7pHiGz8Ra3cX0M2n3UNsTcateTo1tPNGi3EZR1YPGW4Zc4JxXr9FMArxj4lazfeH/2h/h7fWmmTatBF4X8Qm8gtF33Ag+1aPl4kyN7K2wlQcld+0M21W9nry3xf8OfHWr/FTTfF+ieL/D2l2+m6ddaZbafqHhue7fyrl7SSYvKl/EGbfZx7SEUKGYEMcEADRfD4veMfBmp6dp2r6fovhm+n1WS61nS7nTZJ7hrO4tEhSG5jSQqEupXZ9oXKxgFsttufEz4k2vhzVbbQri38Twxzwrc3F/ofhnUtSBiLMvlJLawSLHISvJJDKpBABZWX0iigRxvgH4i6V41uL6x0fRvEGm2emQW5E2seH7vSYX3mRRHCtzFGzlBEC21dqiSPkkkDsqKKACiiigAooooAKKKKACvDfgh8bPAen/BbwBa3Pi3SoLmDw/p8UsT3KhkZbaMEEeoIr3KigDg/+F8fDz/ocdI/8CVo/wCF8fDz/ocdI/8AAla7yigDg/8AhfHw8/6HHSP/AAJWj/hfHw8/6HHSP/Ala6nXPFGjeGP7P/tjVrHSf7Qu49Ps/t1ykP2m5kz5cEe4jfI2DhFyTg4FadAHB/8AC+Ph5/0OOkf+BK0f8L4+Hn/Q46R/4ErXZSapZxanBpz3cCahcQyXENo0iiWSKNkWR1TOSqmWIMQMAyID94ZtUAcH/wAL4+Hn/Q46R/4ErR/wvj4ef9DjpH/gStdTofijRvE/9of2Pq1jq39n3cmn3n2G5Sb7Ncx48yCTaTskXIyjYIyMitOgDg/+F8fDz/ocdI/8CVrmvHfxK8L+OLTQtJ8Pa5Z61qb6/pUy2ljJ5shjjvYZJH2jnaqI7MegCkngV7DRQAUUUUAea/GTXdP8M6v8N9S1W8h0+wg8Rv5txO21Ezpl+oyfckD8avf8L4+Hn/Q46R/4ErXeUUAcH/wvj4ef9DjpH/gStH/C+Ph5/wBDjpH/AIErXeUUAcH/AML4+Hn/AEOOkf8AgStH/C+Ph5/0OOkf+BK12WqajFpGmXd/Ok8kFrC88iWtvJcSsqqWISKNWeRsDhUUsTgAEkCszSPHGg634S0bxPa6pANB1iG0nsb24JgWdbkoLcASbSGkMsaqpAYs4XGTigDA/wCF8fDz/ocdI/8AAlaP+F8fDz/ocdI/8CVrstR1GLS7dJpkndGmigAt7eSdt0kixqSqKSFBYFmI2ooLMVVSRaoA4P8A4Xx8PP8AocdI/wDAlaP+F8fDz/ocdI/8CVrf1rxrpHh7xF4d0O/mnh1DxBNNb6cFtJnillihaZ0aZUMcbeXHIyiRlLBH27tpxu0AcH/wvj4ef9DjpH/gStUPAWu2Hi34q+Lta0a6TUtIfR9Ks1vrfLQtNHNqDyRh+hZVliJHUCRSfvCvS6KACvPPjzfW+l/D2O9u5kt7S31zRJpppDhY0XVbQsxPYAAmvQ6KAOD/AOF8fDz/AKHHSP8AwJWj/hfHw8/6HHSP/Ala7yigDg/+F8fDz/ocdI/8CVo/4Xx8PP8AocdI/wDAla7yigDg/wDhfHw8/wChx0j/AMCVo/4Xx8PP+hx0j/wJWu8ooA4P/hfHw8/6HHSP/AlaP+F8fDz/AKHHSP8AwJWu8ooA4P8A4Xx8PP8AocdI/wDAlaP+F8fDz/ocdI/8CVrvKKAPLdK8WaP46+M2h33h7UIdZsrDQNThu7mzPmRwSS3FgYkdhwrOIpSoPJEbY6GvUqKKACvHPDfxO8J+EPH3xQsdb8QWGl3h8QQyiC5mCMVOk6eAcHtwfyr2OigDg/8AhfHw8/6HHSP/AAJWj/hfHw8/6HHSP/Ala7yigDg/+F8fDz/ocdI/8CVo/wCF8fDz/ocdI/8AAla7yigDg/8AhfHw8/6HHSP/AAJWj/hfHw8/6HHSP/Ala7yigDg/+F8fDz/ocdI/8CVo/wCF8fDz/ocdI/8AAla7yigDg/8AhfHw8/6HHSP/AAJWq2pfHT4fSaddInjDSGZonAAuVyTg16LRQBynwlsrjTfhV4MtLuCW1u7fRbKKaCZCjxusCBlZTyCCCCD0xXV0UUAec/HjVLTRfBenX9/cR2lnb+IdGklnlbCoo1G3ySfSrX/C+Ph5/wBDjpH/AIErXeUUAcH/AML4+Hn/AEOOkf8AgStH/C+Ph5/0OOkf+BK13lFAHB/8L4+Hn/Q46R/4ErR/wvj4ef8AQ46R/wCBK11PiXxRo3gzRbnWPEGrWOhaRbbfPv8AUrlLe3i3MEXdI5CrlmVRk8kgd606AOD/AOF8fDz/AKHHSP8AwJWj/hfHw8/6HHSP/Ala7K71Sz0+4soLq7gtp76Y29rFNIqNcSiN5CkYJyzBI5HwMnajHoDVqgDg/wDhfHw8/wChx0j/AMCVo/4Xx8PP+hx0j/wJWup/4SjRv+El/wCEd/tax/4SD7J/aH9k/aU+1/Zt/l+f5Wd/l7/l34xnjOa06AOD/wCF8fDz/ocdI/8AAlayfD3izR/HHxlivtA1CHV7K00CaC4uLRt8cUj3ERRGYcBmCOQO4U+hr1KigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPm/9tLUvE+j6J4VvvBj+M08SW8upyw/8IpZ313E2NLujAtzFAjwurXv2BQJ1PBcrhRKRz3w81jXpdQ8P3msw/EzVNIurXxP4XujcWuqWtxJ/xMopNHmeIrEYZGsjKBfBU2ltskqMuF+saKQ7ny7qPi/UW/ZZ+EcGtaT4y1DxO83hm41GJvDeqXd6sthqNhJfvchYGdGAimcGTBl2kx+ZkZ2PjD4f0rXvit8PfGmoWHjyXQLnw9qOnvJ4bl1q1nt5pZrGa1Wa3tGSaDeqXIcuijckYlIMce36KooC54bqHjg2v7SHhl/7O8c21ndeH7qw1O3/ALJ1S40uG9ln0+SyDNEj2YdUa8DzxsVXDLJIMAVyvwSGrDxJosOnX/i7UpbTxJ4istVn1u+1C8sBo0F9qcFsiSzM0LzrPHaLksbjYrbj5e2vpysLwf4E8NfD3TJdO8K+HdK8NafLMbiS00eyitInlKqpcpGoBYhVGcZwoHYUAeVfCDX7Lxn4u+L+nyaZ4r0y11/V1v7a5vtD1TRvNtf7J020d47mSKIxyCWKVQFdZRsLqMANWb8H/BerQ/FB7G+1TxJc2vgG3l0tr678R31zBrUtyftEEk0Tzsjyw283z+Yp+aePZtSKIL9CVzPgv4YeDfhv9s/4RLwloXhb7bs+0/2LpsNn5+zds3+Wq7tu9sZzjccdTQFzpqKKKYgooooAKKKKAMzxRbQXnhrVoLrR/wDhIrWW0mSXR9kT/bkKENBtmZYzvGVxIyod3zEDJr4I+H/7NPxFl8I614Q1n4d6rZWep+B7zw+kmr6xY3WnW96NO0v7JJ5S3cpRUv7TUpVdIiyNdxtgZfy/0KopWGnY8G8LN4p0T4reN/HD/CTVrNNf8O6OrWtjeaU13cXltcXccqTE3SIZRFcwlXLspigxvVwsVc0PhVrXjH9kPwX4Q8QfDf7R4h8I/wDCPhtB1yTT5xfGwe1NyYHWaWICaFLmFTIyEh2VwqMSfp6igLnzn8RfCd7c/Dbwhpfh34HSWi6X4k07WtO0rS20iI6PHbahbXM7ENcRxRTTJ9rUC3aQHcd7r5hAyvjHL4S139oL4fw614KsPEfiXU/BeqCbwjeT6eNSlH2vTpbeJxJMIpPKKXsijzGUeTcPEWZOfqGiiwXPn/xJp3jvw5B8ErFvCOuePr7wk8N9retaZdafGlzL/ZN7YyBBc3ULmQy3CSHKhdjH5iw21xfxB+H3ww1v9oWP4f21v4Fu5vF19Hr/AIk0aaO0bUIbqxXz1cRkFi9zHPhlbB8trmRQfMlavrSiiwXCiiimIKKKKACszxRcwWfhrVp7rWP+EdtYrSZ5dY3xJ9hQIS0+6ZWjGwZbMisg2/MCMitOigD4n/ZZ/ae8QfFzxVpnhLXfiXo1/d6r4alMUmmxWcWoQ3y2OlXJlVfnRpA1/qCbDFs/4lzZT5JRXbfCf9oyPVdc+F7eIviDaqt/4BvZ/Edjf/ZbWC31qy+wvcFm8tGjnRJb0yw79qJEH8tANzfUVFIdz5H8IeI9H1r9jn4r6R8LPE9tbarokniqewg8F3MD3Fmh1PUJrJIkjDeUk0aKIyihijZiZSFYa3xT+Kfhm0/ZY+IV9YfGZfFJfTrlrHXNWTSZYby4a1kePTFAtEtbjzPJdXg2NLiRgSuUx9RUUBc+eviH8VbO88deFr3SfjBB4e+H+s+HNUuX1bTn065shc2l9YRRyR3EsUihna6khYMzKdqqqrId1ZHj74peF7LW/wBnDW/iFqXhzwh42S5/tHULXVb2C3udNhudD1BZxmRgyQm5WKMk4VnjjBywFe7X/wAOdD1P4gaV40nS+PiDTLSWwtZY9Tuo7dIJSDIjWyyCF9xCElkJJiiOcxpt6agDwT4533jjwjrt1PpHi/XYrTxPbJpGhWdlZ2EkWl6yXQxMxe1dzDKqPvaRmEYE2Bl4vK9v0ezuNO0mytbq/m1S6ggSKW+uERJLl1UBpGWNVQMxBJCqqgngAcVzviX4WaB4u8WaJ4j1I6u2p6NKk1iLbXL62to5F34c28UywuxWWRGLoSyMUbK/LXXUwCiiigQUUUUAFfLX7VPxy1L4U/FPwnpunfEzSvCsOqabi80zV0s3ih36pp9ot4A+yVWWG7vZeZDGRYk7cJKT9S0UDR8VTftM63efCLxN4ib4hCx1bVvhlpvirw+tjbWciR6tFHef2lb2oaF/NRJLe3E0chkeESSHdGMFPUNV+J/w1k/av8CXVr4t8KNq994R1HTzNFqVsbi48+60mawg3Btz+Ysk0kKc7g7sgOSa+haKQXPnjwP4jbRv2gvH2ka98U9ekvP+Egik0rwZdLZul1ZT6dabZIoxa/aBBHM0y74pFRTAWlJYyu9nw58R/D2t/tIfEjwlZ/EfS5NVvdE063sY7SfTW1Cyu45NUW5t4cRF5WgEaTGKcS+U0rkgK5U+/VV1TTotX0y7sJ3njguoXgke1uJLeVVZSpKSxsrxtg8MjBgcEEEA0wufO/7Pnxk1LXdK8M6nr/jiHxDaXPgmLX/E890LS2h8PXQhs3jV/LjQxLPHNczHziRiAsm1CBWX8H7628YfAHXdF+D3jbT9L1XQfEut3MFl4Wl0+YC0bWL97e2KSRTRwRTQ4MThABhGG5Ayt9E+B/BWkfDnwlpfhnQYZ7bRdMhFvZwXF3NdNFECdqCSZ3cqoO1QWIVQFGFAAteJfDtr4r0W50q9lvoLW4275NN1CexuBtYMNs8DpInKjO1hkZByCQVYDgPgRrmr+NLTxF4tuNe1bU/Desagz6BYavaW1vJZWqDa4xFDG+DL5qr5rO3lxxHOWYn1KsTwV4N0v4feFdN8OaJHcQ6Rp0Xk2sV1eTXbxx5JCeZM7uVXOFBYhVAUYAAG3TEFFFFABRRRQB5B+1E9zH8O9Laxl8VwXi+ItJIl8HxX0t2kH2yP7WzpaKzNGLX7SSJFZCdgwX8sV4n8M/EXxD8QfBC+vdfX4hXPijQPEvh3XHS602/0+6mtTHpz6rDHGI4RdxCT+1k+zqJBgJhTmEn7LopWHc+UPGniO+n+EX7SGkHRvHl42uS3cPhyzu9E1W+klS90SLy1gzHJ5cJuVusplVgLhHWIsq11vx1tNN+Ilj8LPGH9n+NpdB0vxBPJfR6NDrGnajBbSWN7b+abSHyrrInMA3CMuI3cj93JJu+gqKAufPnjvxpD4c8UfCC4s9N+I0Ftp11N/aEEGm6zqKNpjWF7DG14IVlSaU3CWbgTFrhNyswTL1jWg1aP4teM7TR7/wAXXmr2vjyyWwilvtQudKtrCSz0m41KOXLNAg8ue5aKObAVmUQAYYV9OVheH/Anhrwnqer6jofh3StG1DWJvtGpXen2UUEt9LuZt8zooMjZkc5Yk5dj3NAXPM/FHi+3tf2nfCCHSfEksFnoWqaVPf2/hvUJrKO5u7nSZLdTcpAYdpWCYtJv2R7CHZTxXNaH8O9R0/4yaf4Pj1fxXcaTod2/iz+1ZvFepTmW1nBih064V7g+YBPAzKHBQxQMMF5Jmb6OrmdD+GHg3wx4l1DxFo/hLQtJ8Qah5n2zVrHTYYbu58xxJJ5kqqHfc4DHcTkgE80AdNRRRTEFFFFAH//Z"}}},{"metadata":{"_kg_hide-input":false,"_kg_hide-output":true,"trusted":true},"cell_type":"code","source":"%%time\n# INSTALL RAPIDS FROM KAGGLE DATASET. TAKES 1 MINUTE :-)\nimport sys\n!cp ../input/rapids/rapids.0.11.0 /opt/conda/envs/rapids.tar.gz\n!cd /opt/conda/envs/ && tar -xzvf rapids.tar.gz\nsys.path = [\"/opt/conda/envs/rapids/lib\"] + [\"/opt/conda/envs/rapids/lib/python3.6\"] + [\"/opt/conda/envs/rapids/lib/python3.6/site-packages\"] + sys.path\n!cp /opt/conda/envs/rapids/lib/libxgboost.so /opt/conda/lib/","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# LOAD LIBRARIES\nimport cudf, cuml\nimport pandas as pd, numpy as np\nfrom sklearn.model_selection import train_test_split, KFold\nfrom cuml.neighbors import KNeighborsClassifier, NearestNeighbors\nimport matplotlib.pyplot as plt\nprint('cuML version',cuml.__version__)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Load Data"},{"metadata":{"trusted":true},"cell_type":"code","source":"# LOAD TRAINING DATA\ntrain = cudf.read_csv('../input/digit-recognizer/train.csv')\nprint('train shape =', train.shape )\ntrain.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# VISUALIZE DATA\nsamples = train.iloc[5000:5030,1:].to_pandas().values\nplt.figure(figsize=(15,4.5))\nfor i in range(30):  \n    plt.subplot(3, 10, i+1)\n    plt.imshow(samples[i].reshape((28,28)),cmap=plt.cm.binary)\n    plt.axis('off')\nplt.subplots_adjust(wspace=-0.1, hspace=-0.1)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Grid Search kNN for optimal k\nHere we perform grid search with a 20% holdout set to find the best parameter `k`. Alternatively, we could use full KFold cross validation shown below. We find that `k=3` achieves the best validation accuracy."},{"metadata":{"trusted":true},"cell_type":"code","source":"# CREATE 20% VALIDATION SET\nX_train, X_test, y_train, y_test = train_test_split(train.iloc[:,1:], train.iloc[:,0],\\\n        test_size=0.2, random_state=42)\n\n# GRID SEARCH FOR OPTIMAL K\naccs = []\nfor k in range(3,22):\n    knn = KNeighborsClassifier(n_neighbors=k)\n    knn.fit(X_train, y_train)\n    # Better to use knn.predict() but cuML v0.11.0 has bug\n    # y_hat = knn.predict(X_test)\n    y_hat_p = knn.predict_proba(X_test)\n    acc = (y_hat_p.to_pandas().values.argmax(axis=1)==y_test.to_array() ).sum()/y_test.shape[0]\n    #print(k,acc)\n    print(k,', ',end='')\n    accs.append(acc)","execution_count":null,"outputs":[]},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"# COMPUTE NEIGHBORS\nrow = 5; col = 7; sft = 10\nknn = NearestNeighbors(n_neighbors=col)\nknn.fit(X_train)\ndistances, indicies = knn.kneighbors(X_test)\n# DISPLAY NEIGHBORS\ndisplayV = X_test.to_pandas().iloc[sft:row+sft].values\ndisplayT = X_train.to_pandas().iloc[indicies[sft:row+sft].to_pandas().values.flatten()].values\nplt.figure(figsize=(15,row*1.5))\nfor i in range(row):\n    plt.subplot(row,col+1,(col+1)*i+1)\n    plt.imshow(displayV[i].reshape((28,28)),cmap=plt.cm.binary)\n    if i==0: plt.title('Unknown\\nDigit')\n    for j in range(col):\n        plt.subplot(row, col+1, (col+1)*i+j+2)\n        plt.imshow(displayT[col*i+j].reshape((28,28)),cmap=plt.cm.binary)\n        if i==0: plt.title('Known\\nNeighbor '+str(j+1))\n        plt.axis('off')\nplt.subplots_adjust(wspace=-0.1, hspace=-0.1)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# PLOT GRID SEARCH RESULTS\nplt.figure(figsize=(15,5))\nplt.plot(range(3,22),accs)\nplt.title('MNIST kNN k value versus validation acc')\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# KFold Grid Search\nFor a more accurate grid search we could use KFold instead of a single holdout set. If we do this, we find it gives similar results as above."},{"metadata":{"trusted":true},"cell_type":"code","source":"# GRID SEARCH USING CROSS VALIDATION\nfor k in range(3,6):\n    print('k =',k)\n    oof = np.zeros(len(train))\n    skf = KFold(n_splits=5, shuffle=True, random_state=42)\n    for i, (idxT, idxV) in enumerate( skf.split(train.iloc[:,1:], train.iloc[:,0]) ):\n        knn = KNeighborsClassifier(n_neighbors=k)\n        knn.fit(train.iloc[idxT,1:], train.iloc[idxT,0])\n        # Better to use knn.predict() but cuML v0.11.0 has bug\n        # y_hat = knn.predict(train.iloc[idxV,1:])\n        y_hat_p = knn.predict_proba(train.iloc[idxV,1:])\n        oof[idxV] =  y_hat_p.to_pandas().values.argmax(axis=1)\n        acc = ( oof[idxV]==train.iloc[idxV,0].to_array() ).sum()/len(idxV)\n        print(' fold =',i,'acc =',acc)\n    acc = ( oof==train.iloc[:,0].to_array() ).sum()/len(train)\n    print(' OOF with k =',k,'ACC =',acc)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Predict Test\nBelow we witness GPU RAPIDS kNN infer the entire Kaggle test dataset of 28,000 images against a training set of 48,000 images in an incredible 2.5 seconds (using Kaggle's Nvidia Tesla P100)! For comparison, a CPU (Intel Xeon 2 core) takes 600 times longer!"},{"metadata":{"trusted":true},"cell_type":"code","source":"# LOAD TEST DATA\ntest = cudf.read_csv('../input/digit-recognizer/test.csv')\nprint('test shape =', test.shape )\ntest.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# FIT KNN MODEL\nknn = KNeighborsClassifier(n_neighbors=3)\nknn.fit(train.iloc[:,1:785], train.iloc[:,0])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"%%time\n# PREDICT TEST DATA\n# Better to use knn.predict() but cuML v0.11.0 has bug\n# y_hat = knn.predict(test)\ny_hat_p = knn.predict_proba(test)\ny_hat = y_hat_p.to_pandas().values.argmax(axis=1)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# SAVE PREDICTIONS TO CSV\nsub = pd.read_csv('../input/digit-recognizer/sample_submission.csv')\nsub.Label = y_hat\nsub.to_csv('submission_cuML.csv',index=False)\nsub.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# PLOT PREDICTION HISTOGRAM\nplt.hist(sub.Label)\nplt.title('Distribution of test predictions')\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Submit to Kaggle\nWhen we submit to Kaggle, we see that our LB score 0.968 (test accuracy) matches our CV score 0.967 (cross validation accuracy). We achieve a prediction accuracy of 97% with only 2.5 seconds of work! Amazing!\n  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Comparison to CPU kNN\nFor comparison, we see that using CPU kNN takes 1500 seconds (25 minutes) on an Intel Xeon 2 core processor. That's 600x slower than GPU kNN! Below we infer 1000 of the 28,000 test images and it takes 54 seconds."},{"metadata":{"trusted":true},"cell_type":"code","source":"# TRAIN SKLEARN KNN MODEL\nfrom sklearn.neighbors import KNeighborsClassifier as K2\nknn = K2(n_neighbors=3,n_jobs=2)\nknn.fit(train.iloc[:,1:].to_pandas(), train.iloc[:,0].to_pandas())","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"%%time\n# PREDICT 1/28 OF ALL TEST IMAGES WITH CPU\ny_hat = knn.predict(test.iloc[:1000,:].to_pandas())\nprint('Here we only infer 1000 out of 28,000 test images on CPU')","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.6"}},"nbformat":4,"nbformat_minor":1}