How to use _in_range method in pandera

Best Python code snippet using pandera_python

b.py

Source: b.py Github

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2from .utils import read_passports3"""4Goal: count the number of passports that meet the validation criteria.5"""6def _in_range(val, low, high):7 return val in range(low, high+1)8def birth_year(date):9 """10 Four digits; at least 1920 and at most 2002.11 """12 try:13 date = int(date)14 except TypeError:15 return16 else:17 return _in_range(date, 1920, 2002)18def issue_year(date):19 """20 Four digits; at least 2010 and at most 2020.21 """22 try:23 date = int(date)24 except TypeError:25 return26 else:27 return _in_range(date, 2010, 2020)28def expiry_year(date):29 """30 Expiration Year - four digits; at least 2020 and at most 2030.31 """32 try:33 date = int(date)34 except TypeError:35 return36 else:37 return _in_range(date, 2020, 2030)38def height(hgt):39 """40 Height - a number followed by either cm or in:41 If cm, the number must be at least 150 and at most 193.42 If in, the number must be at least 59 and at most 76.43 """44 if hgt.endswith('cm'):45 try:46 hgt = int(hgt.strip('cm'))47 except TypeError:48 return49 else:50 return _in_range(hgt, 150, 193)51 elif hgt.endswith('in'):52 try:53 hgt = int(hgt.strip('in'))54 except TypeError:55 return56 else:57 return _in_range(hgt, 59, 76)58def hair(hcl):59 """60 hcl (Hair Color) - a # followed by exactly six characters 0-9 or a-f.61 """62 return bool(re.match(r'^#[0-9a-f]{6}$', hcl))63def eye_colour(ecl):64 """65 ecl (Eye Color) - exactly one of: amb blu brn gry grn hzl oth.66 """67 return ecl in {'amb', 'blu', 'brn', 'gry', 'grn', 'hzl', 'oth'}68def passport_id(pid):69 """70 pid (Passport ID) - a nine-digit number, including leading zeroes.71 """...

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ThoSuaOngNuoc.py

Source: ThoSuaOngNuoc.py Github

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1DIRECTION = {2 'l': (0, -1),3 'r': (0, 1),4 'u': (-1, 0),5 'd': (1, 0)6 }7FLOW = {8 'l': {'2': 'l', '3': 'd', '6': 'u', '7': 'l'},9 'r': {'2': 'r', '4': 'd', '5': 'u', '7': 'r'},10 'd': {'1': 'd', '5': 'l', '6': 'r', '7': 'd'},11 'u': {'1': 'u', '3': 'r', '4': 'l', '7': 'u'}12 }13_IN_RANGE = lambda x, y, state: 0<=x<len(state) and 0<=y<len(state[0])14def find_starting_points(state):15 16 pipes = list(filter(lambda x: 'a'<=x<='z',''.join(state)))17 starts = {}18 for i in range(len(state)):19 for j in range(len(state[0])):20 if 'a'<=state[i][j]<='z':21 starts[state[i][j]] = [i,j]22 return starts, pipes23def follow_flow(flow, current_path, state, end, final_path):24 25 x, y = [x+y for x,y in zip(current_path[-1], DIRECTION[flow])]26 if _IN_RANGE(x, y, state) and state[x][y] == end:27 final_path.append(current_path + [''])28 elif _IN_RANGE(x, y, state) and state[x][y] in FLOW[flow]:29 return follow_flow(FLOW[flow][state[x][y]], current_path + [[x, y]], state, end, final_path)30 else:31 final_path.append(current_path + ['leak'])32 return final_path33def sum_water(total_path):34 35 final_cells = set()36 first_leak = list(map(lambda x: len(x), filter(lambda x: 'leak' in x, total_path)))37 first_leak = 0 if len(first_leak) == 0 else min(first_leak) - 138 for path in total_path:39 path = path[:-1]40 path = list(map(lambda x: str(x[0]) + ' ' + str(x[1]), path))41 idx = min(first_leak, len(path)) if first_leak else len(path)42 final_cells |= set(path[:idx])43 return len(final_cells) * (-1 if first_leak > 0 else 1)44def pipesGame(state):45 46 starts, pipes = find_starting_points(state)47 total_path = []48 for pipe in pipes:49 end = pipe.upper()50 for di in DIRECTION:51 x, y = [x+y for x,y in zip(starts[pipe], DIRECTION[di])]52 if _IN_RANGE(x, y, state) and state[x][y] in FLOW[di]:53 total_path += follow_flow(FLOW[di][state[x][y]], [[x, y]], state, end, [])54 return sum_water(total_path)55n = int(input())56arr = []57for i in range(n):58 arr.append(input())...

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namelist_functions.py

Source: namelist_functions.py Github

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...11 return rnd.choice(a=[True, False], size=particles.weight.shape, p=[prob, 1-prob])12 return _random_select13## end random_select14def spatial_filter(xmin=None,xmax=None,ymin=None,ymax=None,zmin=None,zmax=None):15 return lambda p: _in_range(p.x,xmin,xmax) \16 * _in_range(p.y,ymin,ymax)\17 * _in_range(p.z,zmin,zmax)18def _in_range(s, minimum,maximum):19 if (minimum is not None) and (maximum is not None):20 return np.logical_and(minimum<=s, s<maximum)21 elif (minimum is not None) and (maximum is None):22 return minimum <= s23 elif (minimum is None) and (maximum is not None):24 return s < maximum25 else:...

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