結果

問題 No.3050 64Kiエーカーの森ゴルフ
ユーザー taotao54321taotao54321
提出日時 2020-01-04 20:41:04
言語 Python3
(3.12.2 + numpy 1.26.4 + scipy 1.12.0)
結果
AC  
実行時間 34 ms / 2,000 ms
コード長 26,487 bytes
コンパイル時間 318 ms
コンパイル使用メモリ 12,544 KB
実行使用メモリ 11,264 KB
最終ジャッジ日時 2024-05-02 08:47:53
合計ジャッジ時間 2,957 ms
ジャッジサーバーID
(参考情報)
judge4 / judge1
このコードへのチャレンジ
(要ログイン)

テストケース

テストケース表示
入力 結果 実行時間
実行使用メモリ
testcase_00 AC 34 ms
11,136 KB
testcase_01 AC 32 ms
11,136 KB
testcase_02 AC 32 ms
11,136 KB
testcase_03 AC 30 ms
11,136 KB
testcase_04 AC 31 ms
11,136 KB
testcase_05 AC 31 ms
11,136 KB
testcase_06 AC 32 ms
11,136 KB
testcase_07 AC 33 ms
11,136 KB
testcase_08 AC 32 ms
11,136 KB
testcase_09 AC 32 ms
11,136 KB
testcase_10 AC 32 ms
11,136 KB
testcase_11 AC 34 ms
11,136 KB
testcase_12 AC 32 ms
11,136 KB
testcase_13 AC 33 ms
11,136 KB
testcase_14 AC 33 ms
11,136 KB
testcase_15 AC 33 ms
11,136 KB
testcase_16 AC 33 ms
11,136 KB
testcase_17 AC 32 ms
11,136 KB
testcase_18 AC 33 ms
11,136 KB
testcase_19 AC 32 ms
11,136 KB
testcase_20 AC 31 ms
11,136 KB
testcase_21 AC 32 ms
11,136 KB
testcase_22 AC 33 ms
11,136 KB
testcase_23 AC 32 ms
11,136 KB
testcase_24 AC 33 ms
11,136 KB
testcase_25 AC 33 ms
11,008 KB
testcase_26 AC 31 ms
11,136 KB
testcase_27 AC 32 ms
11,136 KB
testcase_28 AC 32 ms
11,136 KB
testcase_29 AC 32 ms
11,136 KB
testcase_30 AC 32 ms
11,136 KB
testcase_31 AC 33 ms
11,136 KB
testcase_32 AC 32 ms
11,136 KB
testcase_33 AC 32 ms
11,136 KB
testcase_34 AC 33 ms
11,136 KB
testcase_35 AC 33 ms
11,136 KB
testcase_36 AC 33 ms
11,008 KB
testcase_37 AC 33 ms
11,136 KB
testcase_38 AC 32 ms
11,008 KB
testcase_39 AC 33 ms
11,264 KB
testcase_40 AC 32 ms
11,136 KB
testcase_41 AC 32 ms
11,136 KB
testcase_42 AC 32 ms
11,136 KB
testcase_43 AC 32 ms
11,136 KB
testcase_44 AC 32 ms
11,136 KB
testcase_45 AC 33 ms
11,136 KB
権限があれば一括ダウンロードができます

ソースコード

diff #

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import base64

DATA="""
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RFlkCk0yx8q5bEPQYySx8WjpB9g1Or/6iYLngLFsGvU222of8lWij6TP431HhyAX2uMek6ozztueS7G9ePWi98sNbNw0h0Z/cHo0PZ0T+vdIEReDO8dd5YAd03GhtDQC8oA2ihB0ncEnzaiB8TPvA3lB6Ku2Pw/J4GA4Z+azaI6UVb3nOj2UGVOfdo9eHHv6Vp3GfR0bKnpwJ6fBxLOI/KXG3KU4YDc6QyajosvwaCnisSPbNEuK5hcI5epJEFsO6PtsZilMoLVsec9TnvLEk2lxngOuUhs0bkG2UtDKTKd2tlJG/KxQ4kwCyO6o8m7mLKOOMpimA+S1QDZ6g/ypNPaKbZolEFBOre4f1MbStTobqoz2wBNuEo7+yExE7obiBGq8hvoezBuKWgxqgIGIugGoBMPE78NJ7sQAAfXHnqEqcgN0Qne2qLuWHdId4uO0jB0yNWlPpGu2vmO04+p34OMiaqEuwMf+hk+CE8FpvlxwfSvnyJXADMl+lOc0P6ltHKE2q/el3kqah7p3LvjW3QnXiivg8RfPBcOTFwQvyYWLbl4wevaq3HaaB2Vd70DTD2+x+5GtoG/+n8ulQspO7wLr1tiWmRkXRmHoZVPf3vtKRfDZUkPa7Z4ZDdtlncbRsjGmXXRVAnHKiDEcUWR7+iPKWTRLhxAbHcSH/BOQC/iRmoma3B34vXZt6O0QYQj1JxNXaYQlmJMsSRalyBsgURsz4ClOldGj4iyOWZK5BiImn7+dmo+0821FmeNbxR5NAalfHNhaXJiMWsistzm5PRZ5G4dRfffzuHeKcbkLHiiKjZZJ9gYuW2Mtaj0Qnx0tA0rjyB6Cs4gvu9+fximOqVshCVgl4IJWNQJF0DWACTkZdMfsJcV9dJ2M3ZH9mLFgaZ0VeJcYMSpVomhsOWSRVS+VREUUR9NjG2jrphzUt6ZTti0OV6rNtFPgSXKDUKTiaSqHMgfiVzSBDHE4NAC0PJdqBjbOoRI/TWI/12J9dpRmhoe4HAb8fBX4SSIHAr/6eX6XfCLmWe6L1A8greD3jpUeV1q7SJImQ6yzSc8Z7KeIF3OLASTxcLZSSWL9uNVQH0MnqIdAz3PLrmtuF4+jfGFE8+tHMIfI5dINkjQA2VhVEwOHeu/mPTc922yP9kiw88azsJ6ajzQBHJo2zW3XofB5jaVT8Dz6D9SVRFDe3i+KAPKIODsA5xXXDvB0leH58MGQntCi3sUizDASowI9OEjO58/1Q8Zn219F/AKq915FoDKusTk7rukSIyvFkQSXGBvSCdbPbw9pApd2iXVTjJjGW5YxQtaQksUOOju8rnl6tGqCFeQf9mh4DcFz1u26y1/p6+R99qukO86ds9sJcovu6U3fNM6OV0r1MP566YunYQ6RCRuLpLRmS/Y9QPxCOJU0RlI+XsEG0bu1wAreay/zGmeSxMjw7COoAGw29yCV5IAq2wF911jDt1mtGJY+1zAZHKLyec7dvBY2hQQFt/1jXE8QmSnhB3wveDLe5wYzkH+YWa99RDWcnVXR0Dekfc3ZJIc09bOdJBkURwrvKvx0E5T/mWGp5vsij+1DkZDdUlhA+baR0NPcZdhLEjW6IWjL1v6Q+VgnaNU0rcLH3ituOI4MulPkahQ2oZQnifbDb8Dd3oZKkFemfAiYqhPi78SdLLF4Acz3GjhcefTjTv0OE2qd3EeYzQ4l0EZGvUDhhTl9jhG2l61bd4iDJNIO667LNNeEK13vfG0k45PbWlX+g9M7vMd8m41DyDlw03qvPmxEc4gTxzHruEkwhd3dgcyh7tjAvWZpC+T/jQA9w25XZHMgH8ED4EO4UcTpLz5vvaZV0DBWklHUvhygZu9uPcvZiH2o/nKEvCeymPoyeXypm1YvNbItHKVkl33PjKVgSxyfRYTRo2rvMAmOCns+pO+mTSMbgZpNXcmT9L0+yN9MqM/ubBZOw6LB+pAESZJVk9S78a5h/KQG4ZAf7mqQlG/GrGXohDkSqc03e/Jj+Zf3KDcWRj2CkNWCDyhTIRAxEzangIFEYTNpdJls6RBJ+3a7OfYJStAokpEIwHwaNAEofXGZcpd2GB5OnBs+qsbkYRyBFx6r4c4ZBC8sjZ+RJI/g/ww7QVxdk4bXKh2KYsfqhmMCJTHfIRJ9ne9T1Lnk7ls+7EPAb93znLJUU4U/kPK4fPeQSI6M9Un1tgwaUcU54Kv84LFUDPGkXU27rapxBVcf1ucaVA0Q5nE+TUQN1rsK7fIBnn+OPwEBuslSmwznslM6s6bLVCFK8RRLquHcpSdDja47dcMvNAlmA2jVYs3Iu2xTGM+sQ6LX2kG+/Q83Yr/mfdCJJCfsHZLNHN0kyoPSgE/06a2vu9KbLct3WpEaKmeS8vfmMRWVTKggza3ZIGKEUKmgYLbIJ10vIt6yI7nTLnM6SEF0WqWyWb37p/r3ndeDeHfUcMVckP0wJQgNFTzZzZK1DnW+kY8x0qUuz0QTP9bLy7ZPpCDGRlF4CpgAUAN03w8jFj1CSu5UiNO2lBIa2wi3P/qnf0bjfk9Soef13o+eGWwB0YRZKTIJlu2EmF3cbk/ANSWHuyrzva/PcrW0YlnmopsAgm5gn6gRVETywRQRLZ6FgQR13tScOWbTPN46ivfsuqfGvhX8/eOP9T7RHWEH1tt8IGe8aiV0BTgVmbzVudYZdp9mD2nT4lf282T3M253U9oH+jiEsq3QaAiGlv2W88mPEBfAaFKyfJPeSq7AT2xja8KLZzYzIpW+G+HLksXCGZhRNdzl1UoVuwiXTKaq13Lv9//jegNaeftxBR6F4AqCXeyhXLFwC+m79Fuwd0vndtsGO4+7SKXMy0n/jHsIBSjlukhQcf4F5Qe9+IMQU2v/a95v6pzcK2DLqN3kvW6Dymv6+whlRiTYk6C5WCfsMZArziE+VlAWzGHGoF4w98oFebiHdUYjnMQEMiFweobqgiXC9zJdZN9ww+wBLvKIa1QFflcu77BB3IVAHzTH5CZ+F8I74d+RTI1A08uf9bbBeLIOmZhJsI0cuduhnJ+Y2dmNNC0cxXWBqMHctc9RmD/sOezFegC84U4RD+tTMlH2VSddM76TGtzwD6wbNFQOFbALsJD6D7k1Ja6p7xm5TOaWwfxLqCJStt/emDzgjAdY7Z3lKgB453krJGkY6goetkGGRF4SuSIHIG4+QYuDu9CbPXujVOTqsSKTUCQ255NFBGuUSV2XjY5nYqekbXwvoR1PdFXMM0M5Np4sM6appCDGlmVWko0wvrXmHuCQsbADQFJuUwM1QMfQmRnb03K5SN8my9A5tbn3UIHwGxt14LyCubL7bKwuU58VDeRJ60+p2H6CaVq//H6G6JXIrqyW0gUWn4MDhDICTfdtBsfKMJLsxD+UMDL2WfRrJJ5q1VXDb6p30XVr+Aje/agTlBTq3TRtMLIO9V4R5+0LuKXsvYmFv6KL2J4660i7DIOAh8O7tCl4u2+vajlON99bnJsg2wM74HUkpxD7+kjAdx6/DRk1Wm2Gf+WTbfZt7rQA2Xhl2kdKSww5IGH80z791DoOc/aJtlFmN355SNdMEobeHnFUdBQQ32j1SbxPTbhzVLZAABWykmg2uM90xdxTFr0me1IhdFTmu2pNMIl07cJXAksiWWjV1Ab2xU5tMdEJzkOGx50TL2JnBCqCj/Tr1L9gwblVWI0Mwf0ZWLtcFT3F+E/8kTXRgJGcOzR75jwAP/Zjh5FriA+wIaXh3bZZUiDQLczlycGZai7q4Q3JIBQKK/up9GimC01D6nI6T72XDAfS7jLMZsWY8jlqWGfIzpXmFqcEZuy8WBlaV5PPOMpM6w9TEoTIMdG3CkxwOXv5OB4kKSORHPa+LzTNfOq+tEwezIm0AOoeYKhu/56p5CRibPkQX2rzpnmOXqae4AzOJHwwSq3uy7i3jJ0MtPLKLWxbSJYO/ogA3LPETgqEIJgCjZZ/qJT6/W+xTOZ0SXON/CTqB5shaGAeR0vzgNbAb+MDtrlAXH4W+H8uGtvusC0krqvyfAHGcExCPrNMJ2WbTvYCd5EzegxcnRnfGkwM6bWlui4eBY2B5lxureHFnnpGUkUWYwTlyM34PNiYtw9bEB7MQkv+ipI43BHIxC9cc7Y7wF3sYA8EJmxQQpmG6kDiS2GTwp6qbm+m87QFPKdwnBQYWdu1KBIkkzi5zwfFafK/1G+M8a0ZjvVKazg53Yt3SWI/OYY/w4058zJ93sAcdRTZJB4yGcRz/XM/F0ydrRSjhVsP7z5llhHiKcOJHLN0UThf5/tls5J5fNiQ99H3TMa4TM0s5xipxsXC3rzmNZ/5koLioBeozKK+ImEqQNXsA/rL9JPssjey4AxObP286GzEmfFxuNp80AdcG4gFol8aLiguq4MvataSpe0FtNJoFd2d9LpWrxuxYEKao2mbwNKM98WPrpEI/OomoBPWbGtMVHmY5GeM1AWOiMQi3ousa7uryr6arxv/huKsGZHLFuaMafMRRr4GsXfhIkIQh4xpNtpclibs/jcWYkwU2rSMZzINqvxkfFvYU8grAm/SEKg8uD4WqjKibj9aM4bjdGvc6nokvai3mqJcjALiKrGyBMT2akB45T4rBmg8aVMVNjYqVaNhFNZSV5NdgEbGFyebLopSV6MzxNNaQv5olhUoTD1oQLNY9I3Ynh9cqizQMJ0Si6VfON4gMz3v4t4cGYkvgnp8sV39+Pp4TUlZ3m+Efc6ReMtiSTaPoF2WD4YNHAvOS1BHlveM/YHDLPaifdMrUhNWPZY97gd6y80JNA7K9/OtiE+WTTwlpkP4NWBjdpdIPyDdQqssG4rzCFdmWnUakk9M7E2AyM2oDAo03vV2ihcOCutgJIccSlN0cRcx/ntIqMKAcozCcARIyAeui2OfIDeO2KPQ+F32Yhfm3pG+tko6fP0sJMGYKP2SDuVudIXyB8xbCq1cF/gNQPE6uWSXLnn4IS5FRGmyY49F6qaoWym11nX2j37PMtECyRMLkq5Q7cE3MnFwl7bPzJlOoxoZar/wqZ5/mKVCOeSJyg1YUC0I84o/ho1ibA3Gi/dVnO+GfrF6saLd+LXQ1VuZfYR784ffk6mrBcMTmQsZfZWRJ8BNm3m3DIFspxajDqXqdH+aw0thpJE6St2+3S5pCF0QRwddDPZuVzPtLRp5gOgwl2DbGWPDvqpwbbd/lY5LFuvMyTwD0pHgqNfKFhFUV7SJMj9Ez75FmUcHWuZsjQerK8ZXBDLsSTSly+sNwO6qo5PtfN3AVaLJooXKXoWM81e1ggdAHvVOC6Y/cKE8bbOpj0BBIy//o+WbhxuxpYMlJeXxCdxDG6FniEksiZb12i06Dg9A899RsvEUMimiD7qL6GnM8jEwnWoB/G3uqXb3MJnmK0LZDNmuu2ivNpW8HanH1li0OTubSNNw5xAT4MvgWx0djoi8+3u1mLlWhYTF9u0Y6aiPEqMUF+QVZgHou6YjfE3CHom+kFPuZO0QLltexiD2IPsowt9G8OfKUCuAeL2Go2XPSGn2eoKKBCxkypSSBmXQkakBShmc5Ktk5lVwkiP2+DMgRCRAIo/qDD2IPpWk+pXa+Dd2k5hvHuegp9jFzMGWtZjTlk8IPQbRDLdC65/xiFi+nyFd3DGQwYgtDOlQoWtHMPBmOXlX4mvYs1YLrOvmFyIFKpcgwfqHBPOebXjFZnMUsU194MrctX1J+LBWfVMLjBhyy5EPFMp4Y2VHCjkE4AAKsAv+jhtaQkWWrvviKJHigCbS/ofk86+Xisrqa0e/5lyIfykV7hgQxR/xpgImsWOFIHDWTcB72NSertBkurWSNo4oPKL2IY7jaOZSChtGldrl8B+46tJWVCzeZBD0YPus5SDFXs9uWASKg4jBJChGGJTe5j+2lD7G/MqSr+45DJ5CHRNlhpbCxXNd7PwGFVM/CORKT+/fpuLC6zNjOIdeTggUZtGgxoFmosPiZu2Omud4giKwcG3qy4HzbJp0fwFfhth8b7mRVhTsjYH9TIY8VZ2Vlmgiw5978kquQm9SQ9718A+sZJwcnT25xCZ8thPy7qQw8FUskAFIt8rfKIN0ZAt43gKcXsECFrBC9SP1muIG7jHCg/IFxBkkMByIm7X3MB4oz+aFTYF7SQAf0qOGh5mX2G0Yg855k2WFzYAbhQbns1PF50b96oAkC86n3CqG+Xg3YW23tzQh0UKXN9GJ14ytQFmgD0/n+j8+oYbHkbHHP1htCJSw0V9BFF50mGNUQxqtwhM6Yli2J0UDalpWFJ88qCimZr0eoFvUr76HqIVYBgMmiBbymM14kHRAb7P/JJ48BLW83xZRRg363rBaITWVVgoqGXEdpqauHSWJCG4WeftD/FqCpwXD7mLGpzWjLKMy8rTI2pkUTG24ukcKQMWs1veE3rr0NOGew38XIK5EkzsnNroQTxHZzrJIyY+14EKcZd8pfrig7XDfItD8GIYSFFO0UOyuxvpEEXIvttqM/t2ynaAhkO2gANTwKKJarkZiOKXcSVat6q0Splj8U5x9llBEThpQLN2UovS4Zg5IBxbFsl689RdNDGas5VNNiGbqzRNLfIJG42vzqEZgj1PHRrFwUEwSNAdSJLME3olqcBfAHF3WUFZiYp+Iy5FLyuruP+3nMkoIE4FBipLQCUlR1trqSTnRNP1k1cDf7j8uze2/RQ0f9RWfKs0K3Rpv3Nf0h2BryNQG1cqtcZ9TFCCW7UvLZ8I/2tLwXSiByiXyH0itlItMnRfbi6/9SU93rHHU96bVTlf+v3dxIPBmA0VRHki4lXehtkhAbX9nuLBa9fXbIm1aKiqC+OkMcTShkRdnyVSNcn0OIKQMBBmkMyXhrmg8318h7gJQPdPpToKoCSXHGgwkwdfD8p/en77NSPHU52PtS9N13/ttgBNMF1zNBoWaU463ukSc8Uhpw1/ZWgA0a+vlAwAT0MoC4aY9pJ/AYfYT8pXew2ktIeVLD4k59gdiufj7lKWodw+zb2EjbUM9eE2SkOzy6i/geVMpM4Nz/5tzJNTU59B7zpTK1PiCVexj5MQ+PAiM3f597swqKd+RI6OfG/uvRD3WWgpYni9Mu7N/owV7/WstbYVrbs/i609NIafRGu7Kr/9D+wkRXi0iVatfeFGs4wQJupmibW2Ll5BH8Qc7IvEqmUqnTCWAxaW30hU6D4Od97HrMvRq1QFVX50Bhj8GDbuLscvBD2UvA0vfHrfszO5GwJ3iR7MrZ/cDoR8BkjT+8VLhEHRwwKze2YajCPharlgaV5zTfEw856tbTyeHXWOFRieESgi40MUijbvNA/knC4e/9KEUd3zhYvfSlycpl/3ph18ZVl0GD3rBDCvElfRlloAc75IrgZHXuD6utUnnSdb1QAbuu5i7kl0KdeArmF/w17F9cQPDY8ER+HWgvXKjNnfGYyXxrmSgQ/PVNBb2nUPhSDYqNQlTNsAk+UdL0F0g2D4knpUi7/zDO7fdr2gn/IHAblzWBlHW//85IORiLzEl0GCyLffRFOiuYZvDnHy6XZ0LcquukRrXROGAsc03Ia/zQdUH7FPogbzvLsmiUd7hCCxCe3TX24ntYjaYCynBLRjRXiJY5xJfhKdQt26ZFsniJZMXG6VFQds7qgPWd/RpvF1QYd6Vfnqc+ewJ3aNHDVJhoZnXx3jvXMq+Fw67mNGOTNwOCuGgxN0u+ZatTieklFemWn60rkPAm2D34v7g85ITVflTlzKDgTvjsVIpgIKiyZSVgpKYZS4ZRopsT6J5XAvGjbKbnuigNxAHkjy8OgvUsKFkgBPa6dDlKWvH14z/mOcaTEN0ugPMnqjMWWZl7lBs/9gpTsH0FZT7xvLYl1h/xlawJ/zzyFwq46qLw3fFm4qPM4nBbTql2jAAiXANmOv6XgqYDpOw5hMIMX7dWD2uXLlSiGCCunUAQVb1KFTSNQh9LwHt5f5R9+/Z5+Sv4gQwI/Yf59Fv99BtgZ0hux91YHuAnYHfga2tceA/g6nnGTj5szH7GboJMHMEREMQaENM2T5hsePN7dA9maexO9DpbxP/pdvTTmWSi6URP4cDuaBXNcOBb6QtDOOCLZJrlHUgQaBnwNlAKbzn/CE2j35FTvZmX1edSv6aaPlOUHrUSlHs7pjSQ20FRgC6Mepjbhdgizz9GmMKzVTXQjveqyqNOr2IncDXP6272SqHYe1ll/2ZUnfSReOPmYVh60ZBm2W7BZyV0UF1EWLxOin2KEuEgsn29WK11+839Rg9SZddKa43f98rBV2LoFUcF6tF9wsvr3LttdPFeYbxNCzegXSN9auriQRxLYW3Q+znktCAg1Ib9KuOOB4aCmMEbJmeTd4tMgeYEBmmchh8ZgX8S/B7CNQio7IvCZVrI1AbseN/pZYJFgyEHejNJoR4gXSJEqj0jZYP+j2gK1r5TnZcf2ozws7obBfmpD9kJrP4Jw5Pe2sNaSaVUpMUvBH48CMarjIAKagx/m5AZdy3jJ+WM+TZItDoy16v2oDo4+DTDu6sr76D53t9t4A/s3n9DRLhGJaqeegBYBXWZvyQAnXIAv98UR6RmK0urFOGDCqGjj9INZo9PlK0KRxtPyG5qTAhm4PBnxTzgGYam3bLzgmGdyTV1KOUvyu5I8u1MycVOAmQf0aldrO+T+jHSLDmrT6hra+zciKkXbu3czKnnqo00UxJxD00idgrCjNyr21FlXl/h6lNWqFaoZbziD94+Q3jDDQeUbN/OLLW2yfDZC76r4WhENwWwyupQg+WeLKgLHckBeA5lZ83wbjBmr/iCgB2+B+8mec33hD48Vn7aDxWg7f7fPiqV89VHpT884ENwAfEXe5fslFuSWkvyfH7xVUDGlsOdRS/fI2wx55n7jCIlUzRU/ONwIaqn091e+B/qGoCMXI5uvsOT7pldGHgvX9HOzcNvdNHeJvMN4w9crGW2+GvTfGVjVHlNJuiju7odgmo2cFBqQPFw41P0EacOf4hrsr2CGrWf9YhLJq2eJq8J0gjljJW7TE9yc/xi3l3/DsadJx6/unQs7n/6bG12aVR2z91SMvQWSHPYanFNtjm+1VT/VPvVD1UB61llum6D3pd1HUU1U1HE9r/UdffKMGYUehvnjlya+sxGO30rRFnC2vD2pK6PVdRoRuHELOch0FhmYVZFXnJPxELUqUs/pxYHE8CM1GXNaP9uSFpumKaJ3BTBF64rD5qAzBpEO6C7h727Y7dAH7cr00TvYcxGZHxTs0AuJbmmB8msQmxQUG5i7nvohVqQTSf7NusxU235afvWVFLgAkoCTLPEh8qbchRnmjMnxqH0R3zJsA06bVPvdqlfAqCr7hTWEXoNyxxyr9SdR9rIymtBWuzOo1q3yZplJ/EbbvrCmBIQQGrYiyg4+szMkjIT8cNxjxIv9X5MKe8OhqGkvtqt7Afi//Bq1Sv1INk7Cx0Ond+RalneFzGUWNnPnZEM0sT3ipUdxXBoHwip8d1VHtYb3bZ8lG+B/MFR6lhk4cxwstWn4hRUHnElXoxfLRW54ynXwmtSDwms6ktHdyl1k7QFwqbxuMqBdaL1O0wY4nttYPnix0N4O+UxUT7/ukyyY+RNMDQmd+5NDDam38F+ESOJwOXSOxcI+/TFnlAhhYs8K9mKKnAzF0QmPUgCJk6ykCAqovgc92zQgSCjzVPxsCgudV75sA44VUJZqCWqSEZqLx2Z979uMTmAvLw7lUK3jTYRArmR7RRuBqq0J8UDQTp+sPyYvAqzJjWqG7cgqumoZ5NfKccrOR+zerb4AxiRLJaEtemDDj+WK6evcA38B5GjYH5xliSwSnt0Hi6g6upXFQ2s9UnBqhyE2lvDDeixCJu5r3YaMMEMMdgiHOUujcwBBh+RHFeG4snGBCww9PX5hicYcn/jtCcKZvNQIiA3TcxGm6OFbkxatSu/vnCYYoTQDUQWHYwz9v/FHxMfJNYTHqWPikKxFO4k2zLTKHEui8OAAAeJMFoio72E92n0lT+wt9qGZrDlGPoNP60sauhIOwA594hCbOzQaijHPsQG1kXFhF2k759yxPx5eiPPXarp/mhdxphbn6AqSip0FjysVBLNZ9rr+itybqr23sZl6xhOl2ij5vLSHdUidZ7sd87B6i5WE5Y/2VLwCRopFGsiW6j+r0OSt6uBVctloQC/se2AvKYKGHgHAG035B/hNdIcNfQrpB4YtWiAM4A2ZG1QCSYAG8klc7vVsMGduYK85fzQoQe7e9twkzSbSvFIM7W23+xFM5Kv/NXuhQ6s6NrkOduhLqGuuFEPh+u1OM8mpsS9js0PHQGSGH6jxGfEKAcA5WjOm68raWzavJEsSnJqPjsqQm59vxwi3qFYuDkkEQyzGuQxC6KdhL885QZ7kas7BHg9TaVooGqLHLYdI5e9sxOmlVOFQB1+IWYYiBYqSKzqqT4pkSIRO1AztrkwmI0KWynVlYgyekFBCicdVWx6LIqx+vRPIrOiwVP8NzwC4U38mVEan4QZIeSDjniDJlg8vneTCmGnlT8vu/s37fjnkgah6Ojdhrs4dGb5ibEKU+VArS+FedBZNfWe7LP2o8wB+LNllH0Od6HIo9IJQxhOIeiB5VZNPi6W78FDs9GOyj/Hkt2VQHfbJy6teeXmgect8DHdP96Q4zBCIfaIeh/bAdSgebR7kcIoGd0EE/O3hOeyFHE/MJIWuFmRKm8ALPyAs22aN8+A9eDyEP2LuKCWEIUZjy6ltuIXYcx6gdM2lF2bnnoGCkILq3S7pbOMOncmt+S7klMgGe8ojnUaYCdrN0ipXjrOmUkk4hRzIki3zrDdmUAGS+niuygLXljDvlS3fxxtr1Ct/vFyugI59GdPGXm5bI1mkG4ccrnsL9OC8LRam1Y41hL4DmiMosuSwhfCIPgcsPYc8/VTgm06OsI7TR50u8mb89jwWiv8WeFOeWxwyklV9MHi70nV/CdNVUhjheKYxjnkIPAioUMp19NTqMwhO/kbTx5sq8+w7GlmiK0Q+EltfwZ0J48s/aPJQFjWIoq2dkfHxQh9MFm+0ZZZsGgTGnKmnVkrUrzAJ0ezdh/ySV7UAZSneE/a9SnSPwsdVaB21VZOko8o2mpwluqVcAhqDMcgHeqt0+h8O36TGdAByAbXiv287vnLxwBRSMBZdnNZakD75NvD6GbbVQHeYFd5u8GzdhBmEOcCPEmcwN54A8+GLO0z7CbbtsGMO1KewIH1nW008ZJUnHQEQanQsHYfTAp2DlC/3mdVhoEVyu9ML+E1cq1xL9o1e07hp78McNPorVkb2yfvI0SA6ABOM96lYAr4LE+uZ6hQpFUkIvM5sewKuM6zm/6eljuRA/waLFIdvN04qEmRjkYKb0tuhk0nPLQNsKStBwwVMGih51/fAkKGql2RF0SFDWs4LdsCFCwdiuqFuvOZG3GmGccLuegdVhJuGPukYTXSqHES8BRdNuCszYv/p/wiYPj2A7mYb2DyI34X/5PPK3Ub9eZMEKWG4U9dHvW0Y4pku940aYXzGs6z0otdvcE72DXPNteAWsdhsTmbZ/hBGxeaWvjYPQK/w/DtjT2r/9zqBd+IExSPgl4mHvMrvc+xLPQhte8TFLeDJVO12lLQBzEt207smgoazHNatyonZFpmFSE0cmViK760RonEN6iEA6ibAHweAiOtNQi9ZwHMHReds0Sf1Tf5C1sJqQieHiGGJIICJWUD07Hhn2m3O46X27NaH5GAt6khFPY9gQcSIACC/gtSODyFYWN7DgkhTmtOOD+jU+zXBjyqxErsNzgjwHHornsVtSMiGtGWGnIQrk2PC3UdNmW5oZcMq8A3+eHgrTWmyMryoRUJ1WFWkis1W+F5kjKdc91zhq+b5NzInRCZqNOUWRT2GfcjDpYsTUxJBTA6LO08JQGOj0WSFmcq5BLnHtk1lt6WDYC+CHsiv5iKdPNLqhGOrGmCbjD7JUkNMaoxzl/NOjY26htL8URIapr2sfi8XWlGMm04+jdKXV3yWKznY4vc7e592bVvjp0Y8ZTtMAapQzLLaGXy8j1heQ/BUErX65RNFXoTedhPmtuQcjTI4U141plqMoknb9xDOygoF/s/TiffgOGSlriw0kLmgzakhe6znAobF3ULFuML3SXSG1U5KNkhjqE/g1ebDZIu0eXYLjEFLWccURTEimG8q4KzQ3VmoiaUVvd+DDEZRs5pCrGkUu/6K7qC++/ZLwI29P/IpU0Mqyw+Ou+yik+QmU+KsmepIH++tJwehOgb41rqhDi/93rig6QR6FFeiYIUaXVDvR2/YFZJiI09cYfsq5YNnS0Wl/OlnaQvkDgwQT/ZqTADnc64xZ3GJsQ/F4kbHJiAsjenA/oJxATXuMu4s4UI5YdmtrEnBTSRrHqsHqi+ujQH/zVboxMXZUNvjBafR0tXIqSmb9bEP7WtwnfVijyw6UT+JfmeFRqBpU44pdSeqN68kOiFjM0ZCY+XGXmn1uHBFxkM8uDVq4ov53BJlaQ+VtpTMTU+RdZZxo/8vRgn1Q7a2NndDEQEfNZgdC12kRc5bYVFLUMbdONuDOINa0lYE1QGT1xrL385dtxFC+c0YaVtCLKUSShaRsZ/g0ye7PfD8QfcEpC0+bnvMfkEfyjivFu2eY3bghAOfIbiHEozZZb4s+mYP54aN8ColS6W7Ytr5htlUrHUuraQgcA0AQAiosmJzwRMNHQUdYbng7IOcr3WgXGR3r1hMecr5ozmuxsO3DjnV/1TtMmM4dHZTylGgRY7Q4prDV019VnDKvENyOrHhcGA/NnGD3Qq7EntBecIR7RLKKWZdAxM+vX+EuQXQMlgxgvoEKe687L1tT4N37pZvAQ90VJ0+7LD+ltIgJcdx4VIu4kbMUs6uAqpulS72NnNMLOEaNVgjeGWOpMMPN4ii6Il0zhamag3Zc7KbTlqWOjfpAsW7hRTijE9dNP5P8QL7lZh/B9Uosg/47lhwXRAIlssU9jEPwKMfSLTkJE0vG2IjNM4kUW5BIyP8YV/oBouXf3iM/ML/FdFdCHXAdmdUYH8zVhnPloSUNvXiT4u8CJZqT4e+thP6Cn64+Fimo0h0ShSmo8vncmLCTs7IPwpUnJNpBAC2mbNIFocl4ezl2G2jqwR2aV2j6YwdHzGQIVTU2zVtSUD045HqjEKVplMpSQrQTNGxlvvqveXYFFcyDTFkzo+04nMOtY+ZVNTBWUBRkJhNv4GTWFfN8snbU1LNWcc3obkN721zBbsQ1h5Ods/3UrqUBVaA7aGaJJzq1aF3pR+JsYCXBftPqm4fSLLofac+TJ3OnkSPxcnkes2rJO86gVc+yJbXifJuySvNvGLBZw2GHwjZ5PUvO2kaCrfGSWsYwPHOMcFQSrMrEmKdJxtvCQSUB1/dl9LDn4HxnDh9TTisCQyxYjbOOkB4sjjAXsWxeTsrUWh2s/BK8s19dHgI3QkyKnhBq248SjG0Hv0gGOMZlRhTRtjNLCMcItd2A704Jvz8Z7oif6x3XzzmsatQztLXTh6SJpSO6GBhNo8ipMmMlsb5V72qfWwjCg/B1qUNhyoWAxpVylbRrNMo2O02mDymnqi0z/l1YHqzZ/kM/+iid2DLEeGVnr4UxtnZNPlO+mkJ882DXWVq6Q95DBZGTmzyLnbdC9R8IbXpxgWc4D4IaaeLnSYOmUMP9WFdu3E6i7MbkbHM362qXeFJ9WJ8DTL46De/qfAlW65RvFlpH6yfxhsXiNsYaBqi7wlh/ErErOvn/uqwP3NB20HMzaVC2mMvRENazdudhRZSJtVtcqFU/x3kNeixDv25IDB6Z7ArVe6Dc0FqNum7XVaWhJh+vddKmIVFfAvHMU7W8hpm5yidelrjiuyPeIvkgKU0/TzAT0j3OnIGuISjWq3Fnw61EhcZg5t2Pp/v+mvlW+lhkifWLh/BPwBeQdJMPUU8eBYNFArwoP3He0x2BjfJFSW669klmcTzExbbK7s6HZNMWG/dqXymHIj5oLVqviHwy3KNU8VUHbCKf0NQ6F5rfmNbQ5KAHcpHuoHMvc+1mhK4S3gz99nk0SlCOQzmM2NysroiDK2xu3TkBKXJVo1tA2rTc1ZFp4eQN5oi9KNt1GNhk6S7kVI8R/czuRJFuUXs2GDOEwldz9M+KLtZIFPJ2IAeOxkAmwN1SrhSjtY9qf8GLSXttY6iqQgnH6bWXBMGMwAhjMDMkqeMze37S7wSTd+4ZHnPsEHfshdF9QRQQtm2IvdeY9fvcs5HXwZg0ojb/ji6QzkcVfgpu8rg26mu2QVPrK05JBzkwk74hb+8JrhwwvoOgWkcjntjaMNpVgWr++ytewpe3bxbRh+eefeiXweKtspguQSQhRB05/VXKVYCfUY5EXDDusn/hrCUzB7wITljoAUhsgaDrWiB+M3YcpQlkmiJxyMO0KJggcJ9TjjVCJZ2KjRLHcS3n7jMVguTSZ3/4zRTJVZ0Q7UsC0a+rzr09TpIPgMT8ZtSodrtgsJWRJEGW8+6/76Pvs+/vT2qvCq5sDLK0YK7NPaK9sNSB1gLYi2SrV2QfxnpNCj38Tn25TQJb2ZxT/Oi8eU2zFVCE0J8iFIIz650xBQjHes3bBEH9QNp6WAHWuEES43aqfAw5VZ3IBXCKUJuV4ImSaRBMcQfgjXgnqV1hxPCK+fwzVQN0o1Q6bFke6L+CH+myYp+KDVUNtauky1+NjUXItXkTANeh9xKEgneHtEHcsnRFZPNE8jYkBBNn44akVHAsw9fRZcErubSINdy87nB0ExT9le25zmDry52ij0iL8gZJ/Ck78OWUHz7SjEQkzxvR4FZ4PlliAOGF8DiL2/nFWYceRfAb2d2+r0qsS0FSclDuQ0ixAeSRPOkwgh9dZuS7Ba7thtrI0KTT7xgocwzGpmqGqHX+rl1ZBKMu2z1BhKW9f2seyC2kRGk7gEeQLGOii9rnWupWwWvEC9sQo+1pZ+IbeF03pwqFqVZ/f0Qo3amc80eTf5U/3Ageae+19WtJk6YhDSnIcjTOn2/aP9V+7nhS4iYh/jmwQ2gP+mOaArGNkB9Wr9pzICZ0xBN1coriWqnXuEshwzUqn+gQQQ2lRcUwJ/zU5bq7kcda3lmK07dR16nSsXZJJ21X3dsEuGb1xWxIvMsQAL6wftHPo40XnNK0Id1vbpjWql2dbfO/QB4FHUO3ky3TfTN4eMz6D/ZlllGmk79H7zaJ9KBbOQaAFlJlMaRKryl/mh9rtFgrQj07xoGP42Qx3wlUG1gRKYlkU2MpEnchPa4o1XxSJUMT0PCVapoZq2hW+v+qB6DfYN1IRqtSct2bteh+mi9ihHIVcZVCBljwcIUIx8fWhCEPMf63bbxrn/ry4P2jjZL+IqTsVgJm8hRnduNvMNXWVWOPEUZNpIFFkAwALMEYm93ab2+0PHh8yNU19SfqNDN6eKXRhiZ+v0rH0QRFLpOqYIxbPDCAc/18ZwGf2R0EdiYufh2CryVU7SCgSGEoAdpRUVwUtkxRTq08FtasPNidkDXnTDPrwb9pXoHA44zNB/CVGS0F95mue58hH+q8ON3JDtxmXIxLv3lWG99wrbuH63Hv4NzxVlmXOcZDn3dQZ5TwD1M1IDbivAksChL2E06KPKDHkvwD77dVFQyRPBP80N/JvfKvwL9Gpaj3gj0N91BiAgUrdKN5YdQ2DBH+uvQcHtQNvZcJhmQGXskLgTpjmgPbqByGJIdLB56+10xlxknNkC/dVZDzgyUoRhDqswc3jdJWigeNHyP8E4FfqtE0gJe1Hih54s3/JNsPWKOU+CnW6hHP2AT7BhovEVtd0zSfXwkH0xk9AO0rXeNcWOmNaUnHk3nXeXa/LilagQ9GtqPPMzke81BmYbsZCasEQplBqHEJwlkYamMh4FhDm6qHocoo6m5aBBsysQ5rFTizYH4b/lnLIcVxvqviM8dw74sbyFuWwhggulGIoElhaiJzo5rDSqlmUbuqqmvneHjnY2oOul1cdSnw01bkvaFFIxu8ESF9YvF/CI6IbllOINgOoCRGjPhl0xtv0seqVoBdypHFMLHv2jK+U9y0pNszIdYcDqlVuULGeQrdGnw1tgmU4b8sZjvI2NXZZbnjqWR0jaHd6UdPfI9eJf9L7a0W9rNwuutJOGqxIhe1Du/5LEVtTr9WZLlMwjy/NbgLWVRZdKiD+0Z1X9G3a2Z/rNIs0zcD51N84keqhS7/3jSI1MLXwYRTB9HEARuMeEapfWLGcRzTZx1h327zt4oVqB6p54I8EZqWeQbJJBjlSCWj5QYOVNaQ9mv9CiYKtFgvaCQszZgHgoflnogD60xYPHtaiu7/RiFcucy1dMyuFobj1p83tSo7A5FTooN4aSbUr1fhVCXcXSVf/Jsd8qeEDylxyT6Kf0pKu41NFWI0iQ43xaUwn0ERU8wpBr3oRN3OTG0A5tyIhRtDmXfiXfABSgTzXxCJ+jqYic0RZJqI2vADSYeqP3Cp+74LNcECEiTiff2pVGwFD40TFEUBznlA2T95pczaTA+q1ZVIN9jUMoo96Wgl8saxJ/+BJj+D/ExilgTz1R3bh/aABFp4M8cLRJSC/rwDXeepbv/j3j3Ll9YCN9vXgKMFEMu14bW6db7yVB65386B1KIAUKcYTDzpFCWuRD4iR/QbjitAy1zQ1qjgMf3jFQrZAfLD0m3TFDGjgCqTs+7oJmvKAHbKHjESA05CNS0b9Ob0t2+hpGzDx7jjmTeajrPxmGLwQ1hYw9ydXIJdccTHtmv6QQr7yyJzeCX1br7IJqTOjJjj0R9WpUmZUdw2hd3Zdx7tZ+sbMwKbg1PT+uZV9zN+Qs0sDYDBWMsRK1oJEr8hVTUYf6zw9pKjKhovKAqg8d7IZ08B98+LZHKjODeDxmNzufSDhFn58OUQ5qoLoP/Zn9hLwjcIzLYS7Naa3zpoAMmlajDbKEaSzH0ZteVxfKP4CNlqqxuy4+42z3PlYxWsh8niQaCxEtHqqlxX9B9RZ66OxXkKQC9EhsgRglf2T1zStYYuPenjUGryGuPIizd8RvKV4J+HPBDIqNHrY3oA0L+o5boAaFZznNf4LR1FDAcCTmWR3qNiQY5YpAvLAIbzvMjTMxAA06dx3/GwQIhpwWRK/iuxsidDLYlxGTyqhvTrvX8+P6Ygnj3oNxLgcgSQvtaShZ5wBV5xD1t9wWJ1YbjNsh8qTg8JNHdJZkSgXKWC5dR7rz5oHaP4u81DX55ztN7BT215hmQo979CN35a7mrOARk8SatMUYwiHl0J9dcSxLUKTSqye70TlvY4f7bF19RCjM2y1KJCY8e6zmMb6myzpcIw20iJmvfBXUkJqMBpyZxatoMg+Q4zpKghOleZTwcan0VttMWQTNQavOABwm7B9URkPDJe6yU/7ALoIm2ob5NTg4+1VJk1Aqws5eT+DBxi3MfHfLiTs7FxA1MQOo13ty0Bvf89ljW2/XJFGjb/LUNroW+ZHOBQMJ7k9VodEhwPBFC2w/+zz0BEImf4xZVuNRfKFXCeIdyxXHGP8BjXW2SIfVNdYuUI352AHnX5rCotys/advPEoWuPG/26vpv++JeSlr0NXMTTZ8sW+S2J/inm6o/Pt3BcW47mhEHA4+fpZkMpkJTvDEkkoPZGnOScPsTqB/e2PCN7Ktma6xlac77Gtpc4Bn0fRDxPN8Fl2H7UZuIQANVIBHIaomTObBhNgcXWXfnfOGCtaOrFaW8+pzu60sUXLRP+IoMUWqF1s0P8urUytgmPc5CuKga1HmGEKSr9IlzCbZDMWCA/sshXEBGWIYwE9VlakOWcnNnM+7k8USo3iZEg0YAGKTILs3i7y0jKi9jSmjK7I/N3+0Fgk8+I5plSYt9ZJzuxcvQrJ+nawGXQvQjCAjRwfgPR0EEnONK5AwiYG4kRuSiAK7PqcOKnGXBw8NCmEyh30RKc0XfkHLlAwszfZ0oVuIg8okpd+MHdaP9g34s+YTOs2bRvbJFXa2ocEzbi51JcCVqUqgGfSpr/KHYdjwgBMK101ZP1UpLHCBFsUPw+NNAsuf2G5it4mwSY5HjBWbWvXJm0kJZ0TF8N5U+6jL2llutAgMhBaYPSalSUPLwa7MZtHL8fZpI3q16WV8n4Ojc5ZaliK9ftbXr8g5QnnOp22eYRJ0jEinzYTVUlZy5J/1k9SrQTZGhtC0AHEE3QZPj92+4a1jbRBjxbxGDf89RSfAqFazANoeXZVlN8k2/TnH5mzzyzLKDUEcfpBJKlM/R3vCIN+VS8D3myCZ4q37q5WY7WB1pmwG5/dC0/xicxJBylZQMLKuMZwFka8hX07XbjhDYe3hTmTTHU+zYfP/oiCz57zggpi0wltohOwa59xoSLFZsqkRVCt59sjbteKvcuFL2i//taox1ozAL+sqQU5CGEEMY+hTpFGIf8hhL/A8fnFUJ1sU8bj8NAOz4hrSY9RaFc8A38/tRwhbOQuzQp92gkeF+BptPf00cKDSjJ8Fbpr1ifSr6q1dHkUXgaWIHVm4HTYaeYztainv1ZxUFJwYtUsVuR+iJmgldSXMjtu8ZK3Vqi4Pdr3GOfAGfrn/pUSUXrp9jZAScRFRQdtZK2U298/q/S/pnq0dwIHcLOsx4MHDG3AQ6nHwAu4M9H/ECs0i9sPiKH0Kx7PgBTqa4SLh2cjBpGGiZdpkbiR9EC6fboxdqwww5ZtXuyAA2mlwxgPn03F+urk7yo9giLUHv+KKpSeMLto78kr6FqKbWGNRFUMXAqM6hH2AnoYaxiloqYgIVvP+RbJETeTXoQcw4ARjqgkj1mpIFNYFU//z4gdnCP6hy51bd8/5Ol8e7kFtqK0s/ilaAAylue60JPuPlcSEizEVXrDMNLuP9X10OdI0W/XMdyrur9sEdJ7vbd7LAWsVzVdhtTwO9hRrihQH1dNM+5PO9OlyhKs8wAdKu4UzInw7DAIip1qnY+95nQQd19bsrd6JibGHMNoamYwv6pNUi4QBdXPlRD1jTnzTsAkW86dLrCcm67bmtoo29zvr9GbDGGEKSHZyfyd3j4odeZl9KH46e8NvM+4xe+hnuPKZRuBnG0QdTMF+L+UFf7hOPyW5cj9iQl5EvHyt8FTb0RvUPiSY2IXzJ9kjZ4f+rGmReD32MgC0dg3/JWUrZjDxmt6MngWPlG45N6INeg/8TTbE+xloLDUPE3iriq6DieyawY9FLXEVTBTNGo+uRhbAiWO/1QdvH/cC6avTkoQN4hPPVllzqPKp7HDTcgVApb49YaZSBVsC1m3nBuQC4HruMVM+w0jVEHQc/l7hKsAJZ6VnKzu0dTd150LvJe4fQXtq0hvhPCSG6KDT8CL6RhRI5In2Bus+SXxaPfYkdgZ0wqzCUpJvPCK0p28NkDgYteGdfnh+L28ZqK06Hu2zJae8YzpK1ZvgUp5oIWQ4V3N9GmwXwSjJbDZG+K/6lNwSvtOspXMTRejO5qTYY33escEZM/Qwk0IHiy8XcjD3H4yK0BHoaYdM5hrWp4oNw5dZGzqbo3oUO1EustwfcGztQoxiYvXNr0kVm1iGnc8E0S/cTzhA/Jn6LXkw983qHGIsfRRM+b7veLFfoCsDt0UmKjSLMUcYStl/gsmuKb+VLcW3kJoiQwR84o/jR7l5Ev01y93IBfU+wQ3rUSZYwZP6g/a1tXCuvWWu3mpzfwByzM1hEuMJvGSaE0U3S2x7oSmpTlR2IK0GLfYwMLoXy0/XAYIh+W/yI1kcOvoeBPwy4EV+ST1e0/hpuGy2E9wUsPitQJBUiPmSXwZ5h1ms7c12sMq43rrVpPmZwDLEq2wz4DZxMHOmwXhSUwLp4kh1mX47RjHID3WI/6P4JtEpxDfrqv63b0nXt0SxWJlVJN0KcB9iPeQ1i0SKGHsa4k9Q6R7r2vlHpM2krE2+glGDw3jpvrKd+FDWK444P1MqCbcgRHpyEgwcXHxOsXmGJdYom9aY71Jf4Qnt+MhxLn4DKuUgM8oSbipuTDlzUq12oHSZ8dbkjU2l+R7Q14/b4brSNxSegHc2hD4dAsUk13n5t1Gmhpc0NO+sGL+ezxvF8bvE2KHmmNGxzvPrr/GjaCVAdxR8RYZUBOODE3QTEHu/dVHjYrpWbeLSOPyionWnK2S9FD2CTZD9gZo897ji2DP2/KXnAIGV6TJctwcNKl2ejfetKuCiWOTj24HVfmPVB2ytD+wFNP2ofCZySTl0a4hNs9+nVldPgNaK6yPw8rvx0rzRpxgWh2guMAWBvESS6M/bDvgIH4K+IuylqYsx5iDZ6pP86Jf6l1u8dWNFhE+bcTlaVAZfR4l4ajJshIkiZoFz3NTAnHWgRu5+8aHlj78F9T/6Ivga8WTlN08e5Gb2NMo33kXcPvAA4U3kOEgb7QTEMh6B2onXbc9TFWoq48ndVL92AweCVwVXEFESehTIj8Gt0xBJL7ug9Q5BBf0ZdITFkEqoMr4UFsCasB6mwb1KZ43yXpzNrYunjvk9HgczrEqh0AZzDu8J0RVLBwWm8T16r8GP+7tPA0UCTwtcqpIVUpdwS9ppOPMk6d/F+7/HmZwJyj7fMNkURt5ZLU0vdOh1skW2Vu9YOs4/S/xRJHUH2jfGHi2u7KX30+LPgN2Be99UTrlaIzq6bjhYoKMUZqHmgLcDWVbz5L3yXHz7lTYkUJLzvRA1vu+iormzNOoBQ1BvGIe323X6MFkWKDgeuFyorggaXiPovzYY1/18WTde0u5LtYU7UyHNuoUsY9fgiHmn401Oz5dUmNA67DlY3mparMmIQNn0LSiv8Sp0ubYIscSIK0KvnMm3O56NSJzYlhEiTObfiVSa3VVSQ6XQD/aYfjHG3HFVm9KbU838uqkHaBPKm7UWTPb16A/PU/DjtS4mTzfBhhI7G3UVBbYpsUCO1PDqmxsqasNDqMiOkwinPucaiSgASarMrTALwnV7Zb5Z4UxDvrEKQYH5prE7/Tz7u5gg3478yk3SDdwmcG5aXLpHhJkSYD1FMU8H/P7YEtgyzUPOCmU73n7iNlYkyODuDtwxWxl2GjiweKNicERhhOGu4EHU+IfTNRis4Tjjjs6/14BiP34A4oNkvi0NwpNGnH2E4gJGG/ApCQwYpOIJhIaz6SZQSJnDaS3TsQy/M9OzH4AlItsZZK/bpGyIyoJinJ8v1JxBHF03UgTyiuObwBvKuIYb+4TBRkNbvUqG8Hv1QJRmoYkQUQ5NAUcyTU91CscuZ9RPqcShSs9/Dl0kdFpWDvAtWCx/NwyfeLFa63fHO1YRUWNBzrfEChaI4jf
"""

def main():
    TABLE = base64.b64decode(DATA)
    x = sum(int(e)*3**i for i,e in enumerate(input().split()))
    print(TABLE[x])

if __name__ == "__main__": main()
0