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import-error.json
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import-error.json
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[
"\n(b, a, c) = np.transpose(np.array([x, y, z]))",
"\n(b, a, c) = list(np.array([x, y, z]).T)",
"\n(b, a, c) = list(map(np.array, [x, y, z]).T)",
"\n(b, a, c) = list(np.transpose(map(np.array, [x, y, z])))",
"\n(b, a, c) = np.array(zip(x, y, z)).T",
"import functools as ft\n(a, b, c) = ft.reduce(lambda acc, x: (acc[0] + x[0], acc[1] + x[1], x[2]), zip(a, b, c))",
"from functools import reduce\n(a, b, c) = reduce(lambda acc, x: (acc[0] + x[0], acc[1] + x[1], x[2]), zip(a, b, c))",
"\nsum(arr)",
"import numpy as np\ncount = np.sum(arr)",
"import numpy as np\nx = np.add(a, b)",
"from functools import reduce\nresult = reduce(lambda x, y: x + y, arr)",
"\ndict(zip(arr1, arr2))",
"\ncollections.defaultdict(list, zip(arr1, arr2))",
"\nzip(arr1, arr2)",
"\n(b, a, c) = np.transpose([x, y, z])",
"\n(b, a, c) = [x, y, z]\n(b, a, c) = tuple(np.array([x, y, z]).T)",
"\n(b, a, c) = tuple(np.vstack([x, y, z]).T)",
"\n(b, a, c) = tuple(map(np.array, [x, y, z]).T)",
"\n(b, a, c) = zip(np.array(x), np.array(y), np.array(z))",
"\nb = np.array(x)\na = np.array(y)\nc = np.array(z)",
"\n(b, a, c) = (np.array(x), np.array(y), np.array(z))",
"\n(b, a, c) = tuple(np.array(x), np.array(y), np.array(z))",
"\n(b, a, c) = map(np.array, [x, y, z])",
"\n(b, a, c) = list(map(np.array, [x, y, z]))",
"\n(b, a, c) = np.transpose(map(np.array, [x, y, z]))",
"\ntmp = [x, y, z]\n(a, b, c) = map(itemgetter(0, 1, 2), tmp)",
"\narr = np.array([x, y, z])\narr = arr.flatten()",
"\na = 42\nb = 56\nc = 12\n(a, b, c) = ft.reduce(lambda acc, x: (acc[0] + x[0], acc[1] + x[1], x[2]), zip(a, b, c))",
"import functools as ft\ndef reduce_helper(acc, x):\n return (acc[0] + x[0], acc[1] + x[1], x[2])\n(a, b, c) = ft.reduce(reduce_helper, zip(a, b, c))",
"import functools as ft\nreduce_helper = lambda acc, x: (acc[0] + x[0], acc[1] + x[1], x[2])\n(a, b, c) = ft.reduce(reduce_helper, zip(a, b, c))",
"import functools as ft\ndef reduce_helper(acc, x):\n return (acc[0] + x[0], acc[1] + x[1], x[2])\n(a, b, c) = ft.reduce(reduce_helper, zip(a, b, c), (0, 0, 'default value'))",
"\n(a, b, c) = tuple(map(sum, zip(a, b, c)))",
"import functools\n(a, b, c) = functools.reduce(lambda x, y: (x[0] + y[0], x[1] + y[1], y[2]), zip(a, b, c))",
"\n(a, b, c) = (deque([x]), deque([y]), deque([z]))",
"\ndeque([x], deque([y]), deque([z]))",
"\n(a, b, c) = (collections.deque(x), collections.deque(y), collections.deque(z))",
"\n(a, b, c) = (deque(x), deque(y), deque(z))",
"\na = deque([x])\nb = deque([y])\nc = deque([z])",
"\ndeque([x, y, z])",
"\n(a, b, c) = tuple(itertools.zip_longest([x, y, z]))",
"\na = deque([x, y, z])",
"\na = collections.deque([x, y, z])",
"\nlist(deque([x, y, z]))",
"\ncollections.deque([x, y, z])",
"\ndeque(x, y, z)",
"import numpy as np\nb = np.array(b)\na = np.array(a)\nc = np.array(c)\nfor i in range(len(a)):\n b[i] = a[i] + c[i]",
"import numpy as np\nb = np.array(b)\na = np.array(a)\nc = np.array(c)\nb[np.arange(len(a))] = a + c",
"\n(a, b, c) = (np.array([[x]]), np.array([[y]]), np.array([[z]]))",
"\n(np.array([[x]]), np.array([[y]]), np.array([[z]]))",
"\nb = np.array([[y]])\nc = np.array([[z]])",
"\na = np.array([[x]])\nb = np.array([[y]])\nc = np.array([[z]])\nnp.concatenate((a, b, c), axis=0)",
"\na = np.array([[x]])\nb = np.array([[y]])\nc = np.array([[z]])\nnp.stack((a, b, c), axis=0)",
"\na = np.array([[x]])\nb = np.array([[y]])\nc = np.array([[z]])\na.shape = (1, 1, 1)\nb.shape = (1, 1, 1)\nc.shape = (1, 1, 1)\nnp.concatenate((a, b, c))",
"\na = np.array([[x]])\nb = np.array([[y]])\nc = np.array([[z]])\na.shape = (1, 1, 1)\nb.shape = (1, 1, 1)\nc.shape = (1, 1, 1)\nnp.concatenate((a, b, c), axis=0)",
"\n(a, b, c) = ([x], [y], [z])\nzip_longest(a, b, c)",
"import itertools\n(a, b, c) = zip_longest([x, y, z])",
"import itertools\n(a, b, c) = list(zip_longest([x, y, z]))",
"\nzip_longest([x, y, z], fillvalue=None)",
"\n(a, b, c) = swap(x, y, z)",
"\ncount = 0\nfor (index, value) in enumerate(arr):\n count += arr[index]",
"\ncount = sum(arr)",
"import numpy as np\nnp.sum(arr)",
"from collections import Counter\nCounter(arr)",
"\nsum(arr, -1)",
"\nlen(arr)",
"\nlen(arr) - 1",
"from collections import Counter\ncount = Counter(arr)\ncount = sum(count.values())",
"import itertools\ncount = sum(itertools.chain.from_iterable(arr))",
"\ndef mycopy(a):\n return copy.deepcopy(a)\n(a, b, c) = (mycopy(x), mycopy(y), mycopy(z))",
"\na = x\ncopy.copy(x, b)\ncopy.copy(x, c)",
"\ncount = 0\nfor (index, value) in enumerate(arr):\n count += value",
"from collections import Counter\ncount = Counter(arr).most_common(1)[0][1]",
"\narr2 = list(arr)\ncount = 0\nfor value in arr2:\n count += value",
"\ncount = 0\nfor i in range(len(arr)):\n count += arr[i]",
"\nb = [b]\ncount = len(b)",
"import numpy as np\ncount = np.sum(arr) if arr else 0",
"\ncount = sum(arr, [])",
"\narr.sum()",
"\narr = np.arange(10)\nsum(arr, -1)",
"import numpy as np\nnp.sum(arr, axis=-1)",
"\nlen(set(arr))",
"\narr.__len__()",
"\narr.size - 1",
"import numpy as np\ncount = len(arr) - 1",
"import copy\ncopy.copy(x, a)\ncopy.copy(x, b)\ncopy.copy(x, c)",
"\na = copy(x)\nb = copy(y)\nc = copy(z)",
"\ncount = arr.sum()",
"from collections import Counter\ncount = Counter(arr)\nresult = list(count.values())[0]",
"from collections import Counter\ncount = Counter(arr).values().sum()",
"import itertools, functools\ncount = functools.reduce(lambda a, b: a + b, arr, 0)",
"import numpy as np\narr_sum = np.sum(arr)\ncount = arr_sum",
"from itertools import accumulate\ncount = accumulate(arr, initial=0)",
"\ndef sum_list(arr):\n count = 0\n for element in arr:\n count += element\n return count\ncount = sum_list(arr)",
"\ncount = sum(a, b, c)",
"\n(a, b, c) = collections.namedtuple('XYZ', ['x', 'y', 'z'])(x, y, z)",
"\n(a, b, c) = collections.namedtuple('XYZ', ['x', 'y', 'z'])._make([x, y, z])",
"\n(a, b, c) = collections.namedtuple('XYZ', ['x', 'y', 'z'])._asdict()",
"\n(a, b, c) = collections.namedtuple('XYZ', ['x', 'y', 'z'])._replace(x=x, y=y, z=z)",
"\n(a, b, c) = collections.namedtuple('XYZ', ['x', 'y', 'z'])._fields",
"\n(a, b, c) = collections.namedtuple('XYZ', ['x', 'y', 'z'])._replace(x=x, y=y, z=z)._asdict()",
"\n(a, b, c) = collections.namedtuple('XYZ', ['x', 'y', 'z'])._replace(x=x, y=y, z=z)._fields",
"\n(a, b, c) = collections.namedtuple('XYZ', ['x', 'y', 'z'])._replace(x=x, y=y, z=z)._asdict().values()",
"\n(a, b, c) = collections.namedtuple('XYZ', ['x', 'y', 'z'])._replace(x=x, y=y, z=z)._asdict().items()",
"\n(a, b, c) = collections.namedtuple('XYZ', ['x', 'y', 'z'])._replace(x=x, y=y, z=z)._asdict().keys()"
]