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import-error.json
49 lines (49 loc) · 3.43 KB
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import-error.json
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[
"\ncount = 0\nfor sublist in int_list:\n count += functools.reduce(lambda x, y: x + y, sublist)",
"\ncount = np.sum((i for i in int_list))",
"\ncount = np.sum((i for i in int_list if isinstance(i, (int, float))))",
"\ncount = functools.reduce(lambda a, b: a + b, int_list)",
"\ncount = sum(map(operator.add, int_list))",
"\ncount = 0\nfor i in itertools.chain(int_list):\n count += i",
"\ncount = sum([i for i in itertools.chain(int_list)])",
"\ncount = functools.reduce(lambda x, y: x * y, int_list)",
"\ncount = functools.reduce(lambda x, y: x - y, int_list)",
"\ncount = functools.reduce(lambda x, y: x / y, int_list)",
"\ncount = np.array(int_list).sum()",
"import operator\ncount = reduce(operator.add, int_list, 0)",
"from statistics import sum\nsum(int_list)",
"\nsum_of_int_list = sum(int_list)\ncount = np.array([sum_of_int_list]).sum()",
"import functools\ncount = functools.reduce(lambda x, y: x + y, itertools.chain(*int_list))",
"import numpy as np\ncount = np.sum(list(itertools.chain(*int_list)))",
"import math\ncount = sum(itertools.chain(map(math.floor, itertools.chain(*int_list))))",
"\ncount = functools.reduce(lambda x, y: x * y, itertools.chain(*int_list), 0)",
"\ncount = functools.reduce(lambda x, y: x - y, itertools.chain(*int_list), 0)",
"\ncount = sum(itertools.chain.from_iterable(map(str, int_list)))",
"import numpy as np\nconcatenated_integers = sum([num for num in int_list])\ncount = functools.reduce(lambda x, y: int(x) + int(y), str(concatenated_integers))",
"\ncount = sum([i >= statistics.mean(int_list) for i in int_list])",
"import functools\ncount = functools.reduce(operator.add, int_list, 0)",
"\ncount = np.sum(np.array(list(int_list)))",
"\ncount = np.sum(np.array(int_list, dtype=np.float64))",
"\ncount = np.sum(np.array(int_list, dtype=np.int64))",
"\ncount = np.sum(np.array(int_list, dtype=np.float32))",
"\ncount = np.sum(np.array(int_list, dtype=np.int32))",
"\ncount = np.sum([float(i) for i in int_list])",
"\ncount = np.sum(map(float, int_list))",
"\ncount = np.sum(map(lambda x: int(x), int_list))",
"\ncount = np.sum([int(i) for i in int_list if isinstance(i, int)])",
"\ncount = np.sum([float(i) for i in int_list if isinstance(i, float)])",
"\ncount = np.sum((float(i) for i in int_list))",
"\ncount = np.sum((float(i) for i in int_list if isinstance(i, (int, float))))",
"\ncount = np.sum(filter(lambda x: isinstance(x, (int, float)), int_list))",
"\ncount = np.sum(filter(lambda x: isinstance(x, (int, float)), map(float, int_list)))",
"\ncount = functools.reduce(lambda a, b: a + b, int_list, 0)",
"\ncount = 0\nfor i in np.nditer(int_list):\n count += i",
"import functools\ncount = functools.reduce(lambda x, y: x + y, itertools.chain.from_iterable(int_list))",
"\ncount = functools.reduce(lambda a, b: a + b, int_list, 100)",
"\ncount = functools.reduce(lambda a, b: a * b, int_list)",
"\ncount = functools.reduce(lambda a, b: a * b, int_list, 1)",
"\ncount = functools.reduce(lambda a, b: a * b, int_list, 10)",
"\ncount = functools.reduce(lambda a, b: a - b, int_list)",
"\ncount = functools.reduce(lambda a, b: a - b, int_list, 100)",
"import itertools\ndef accumulate(iterable, func=operator.add):\n \"\"\"Return running totals\"\"\"\n it = iter(iterable)\n try:\n total = next(it)\n except StopIteration:\n return\n yield total\n for element in it:\n total = func(total, element)\n yield total\ncount = list(accumulate(int_list))[-1]"
]