How to use check_io method in pandera

Best Python code snippet using pandera_python

checkioFindShip.py

Source:checkioFindShip.py Github

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...23 search(land_map, x + 1, y, c, xx)24 if land_map[x + 1][y + 1] == c:25 search(land_map, x + 1, y + 1, c, xx)26 return land_map27def check_io(land_map1: List[List[int]]) -> List[int]:28 x = 129 d = []30 land_map = [[0 for i in range(len(land_map1[0]) + 2)] for c in range(len(land_map1) + 2)]31 for i in range(len(land_map1)):32 for c in range(len(land_map1[0])):33 land_map[i + 1][c + 1] = land_map1[i][c]34 for c in range(1, len(land_map) - 1):35 for ii in range(1, len(land_map[0]) - 1):36 if land_map[c][ii] == 1:37 x += 138 land_map = search(land_map, c, ii, 1, x)39 print()40 for i in land_map:41 print(i)42 land_map = [str(y) for x in land_map for y in x if y != 0]43 for i in range(2, 30):44 if ' '.join(land_map).count(str(i)):45 d.append(' '.join(land_map).count(str(i)))46 print(sorted(d))47 return sorted(d)48if __name__ == '__main__':49 print("Example:")50 check_io([[1, 0, 0, 0, 0],51 [0, 0, 1, 1, 0],52 [0, 0, 0, 1, 0],53 [0, 1, 1, 0, 0]])54 check_io([[0, 0, 0, 1, 0, 0],55 [1, 0, 0, 1, 1, 1],56 [1, 0, 0, 1, 1, 0],57 [0, 0, 1, 0, 1, 0],58 [0, 0, 1, 1, 1, 0],59 [0, 1, 1, 1, 1, 1],60 [0, 0, 0, 0, 1, 1]])61 check_io([[0, 0, 0, 0, 0, 0],62 [0, 1, 1, 1, 0, 0],63 [0, 1, 0, 1, 0, 0],64 [0, 1, 1, 1, 0, 0],65 [0, 0, 0, 0, 0, 0],66 [0, 1, 0, 0, 1, 0],67 [0, 1, 0, 1, 1, 1],68 [0, 0, 0, 0, 1, 0]])69 check_io([[1],70 [1],71 [1],72 [1],73 [1],74 [1],75 [1],76 [1],77 [1]])78 check_io([[1, 0, 1, 0, 0, 1],79 [0, 0, 0, 0, 1, 0],80 [1, 0, 1, 1, 0, 1],81 [1, 0, 1, 0, 0, 1],82 [0, 0, 1, 0, 0, 1],83 [1, 0, 1, 0, 1, 1]])84 #85 # assert checkio([[0, 0, 0, 0, 0],86 # [0, 0, 1, 1, 0],87 # [0, 0, 0, 1, 0],88 # [0, 1, 0, 0, 0],89 # [0, 0, 0, 0, 0]]) == [1, 3], "1st example"90 # assert checkio([,[0 0, 0, 0, 0],91 # [0, 0, 1, 1, 0],92 # [0, 0, 0, 1, 0],...

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checker.py

Source:checker.py Github

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1import torch2import logging3def CHECK2D(tensor):4 assert(len(tensor.shape) == 2), 'get {} {}'.format(tensor.shape, len(tensor.shape)) 5 return tensor.shape 6def CHECK4D(tensor):7 assert(len(tensor.shape) == 4), 'get {} {}'.format(tensor.shape, len(tensor.shape))8 return tensor.shape 9def CHECK5D(tensor):10 assert(len(tensor.shape) == 5), 'get {} {}'.format(tensor.shape, len(tensor.shape))11 return tensor.shape 12def CHECK3D(tensor):13 assert(len(tensor.shape) == 3), 'get {} {}'.format(tensor.shape, len(tensor.shape))14 return tensor.shape 15def CHECKSIZE(tensor, size):16 if isinstance(size, torch.Tensor):17 assert(tensor.shape == size.shape), ' get {} {}'.format(tensor.shape, size.shape)18 else:19 assert(tensor.shape == torch.Size(size)), tensor.shape20def CHECKEQ(a, b,s=None):21 assert(a == b), 'get {} {}'.format(a, b)22 if not (a == b):23 print('get {} {}'.format(a, b))24 if s:25 print(s)26 else: 27 assert(False)28def CHECKABSST(a, b):29 """ check if abs(a) < b """30 # assert(abs(a) < b), 'get {} {}'.format(a, b)31 if not (abs(a) < b):32 print('get {} {}'.format(a, b))33def CHECKEQT(a,b):34 CHECKEQ(a.shape, b.shape)35 CHECKEQ((a-b).sum(), 0)36def CHECKINFO(tensor,mode,info):37 for i in range(len(mode)):38 k = mode[i]39 if k.isdigit():40 v = int(k)41 else:42 v = info[k]43 assert(tensor.shape[i] == v), 'i{} k{} v{} get {}'.format(44 i,k,v,tensor.shape45 )46def CHECKBOX(a, b):47 a = a.cpu()48 b = b.cpu()49 assert(a.size == b.size), '{} {}'.format(a, b)50 CHECKEQ(a.bbox.shape, b.bbox.shape)51 CHECKEQ((a.bbox - b.bbox).sum(), 0)52def CHECKDEBUG(dmm_io, check_io, depth=0):53 """ check if every thing in A-list equal to B-list """54 if depth == 0 and type(dmm_io) == dict:55 return CHECKDEBUG([dmm_io], [check_io], depth=0)56 assert(type(dmm_io) == list)57 assert(type(check_io) == list)58 CHECKEQ(len(dmm_io), len(check_io))59 # logging.info(' '*(depth+1) + '>'*depth)60 for cid, (icur, iprev) in enumerate(zip(dmm_io, check_io)):61 depthstr = ' '*(depth+1) + '| ' + '[%d-%d]'%(depth, cid)62 logging.info(depthstr + '-')63 # logging.info(depthstr + 'cid: %d'%cid)64 if isinstance(icur, torch.Tensor):65 # logging.info(depthstr + 'check tensor: {}'.format(icur.shape))66 CHECKEQ(icur.shape, iprev.shape)67 CHECKEQ(icur.sum(), iprev.sum())68 # CHECKEQ(icur.mean(), iprev.mean())69 #CHECKEQ(icur.min(), iprev.min())70 #CHECKEQ(icur.max(), iprev.max())71 elif type(icur) == tuple:72 CHECKDEBUG(list(icur), list(iprev), depth+1)73 elif type(icur) == list:74 CHECKDEBUG(icur, iprev, depth+1) # list of list .. 75 elif type(icur) == dict:76 for name in icur.keys():77 logging.info(depthstr + 'dname: {}'.format(name))78 CHECKDEBUG([icur[name]], [iprev[name]], depth+1)79 #elif type(icur) == str:80 # CHECKEQ(icur, iprev)81 else:82 logging.info(depthstr + '{}'.format(type(icur)))83 CHECKEQ(icur, iprev) # none special type84 # logging.info(' '*(depth+1) + '<'*depth)...

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checkioXO.py

Source:checkioXO.py Github

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...4 return True5 if a == b == c == "O":6 return True7 return False8def check_io(game_map):9 if f(game_map[0][0], game_map[1][0], game_map[2][0]):10 return game_map[0][0]11 if f(game_map[0][1], game_map[1][1], game_map[2][1]):12 return game_map[0][1]13 if f(game_map[0][2], game_map[1][2], game_map[2][2]):14 return game_map[0][2]15 if f(game_map[0][0], game_map[0][1], game_map[0][2]):16 return game_map[0][0]17 if f(game_map[1][0], game_map[1][1], game_map[1][2]):18 return game_map[1][0]19 if f(game_map[2][0], game_map[2][1], game_map[2][2]):20 return game_map[2][0]21 if f(game_map[0][2], game_map[1][1], game_map[2][0]):22 return game_map[0][2]23 if f(game_map[2][2], game_map[1][1], game_map[0][0]):24 return game_map[2][2]25 return 'D'26if __name__ == '__main__':27 print("Example:")28 print(check_io([".OX","..X",".OX"]))29 print(check_io([30 "X.O",31 "XX.",32 "XOO"]))33 print(check_io([34 "OO.",35 "XOX",36 "XOX"])) # == "O", "Os wins"37 print(' ', check_io([38 "OOX",39 "XXO",40 "OXX"])) # == "D", "Draw"41 print(check_io([42 "O.X",43 "XX.",44 "XOO"])) # == "X", "Xs wins again"...

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