-
Notifications
You must be signed in to change notification settings - Fork 0
/
import-error.json
63 lines (63 loc) · 3.24 KB
/
import-error.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
[
"\ncount = functools.reduce(lambda x, y: x + y, int_list)",
"\ncount = 0\nfor i in int_list:\n count += functools.reduce(lambda x, y: x + y, [i])",
"from operator import add\ncount = reduce(add, int_list)",
"\ncount = int(functools.reduce(lambda x, y: int(x) + int(y), map(str, int_list)))",
"\ncount_sum(int_list)",
"import functools\ncount = functools.reduce(lambda x, y: x + y, itertools.chain(*int_list))",
"\ncount = reduce(lambda acc, x: acc + x, int_list, 0)",
"\nreduce(lambda a, b: a + b, int_list)",
"\nmath.fsum(int_list)",
"import functools\nimport operator\ncount = functools.reduce(operator.add, arr)",
"\ncount = _sum_int_list(int_list)",
"\ncount = int(np.sum(int_list))",
"\ncount = int(np.sum(int_list, dtype=int))",
"\ncount = int(np.sum(int_list, dtype=np.int32))",
"\ncount = int(np.sum(int_list, dtype=np.int64))",
"\ncount = int(np.sum(int_list, dtype=np.int16))",
"\ncount = int(np.sum(int_list, dtype=np.int8))",
"\ncount = int(np.sum(int_list, dtype=np.uint32))",
"\ncount = int(np.sum(int_list, dtype=np.uint64))",
"\ncount = int(np.sum(int_list, dtype=np.uint16))",
"\ncount = int(np.sum(int_list, dtype=np.uint8))",
"\ncount = int(np.sum(int_list, dtype=np.float32))",
"\ncount = int(np.sum(int_list, dtype=np.float64))",
"\ncount = int(np.sum(int_list, dtype=np.complex64))",
"\ncount = int(np.sum(int_list, dtype=np.complex128))",
"\ncount = int(np.sum(int_list, dtype=np.bool))",
"\ncount = int(np.sum(int_list, dtype=np.object))",
"\ncount = int(np.sum(int_list, dtype=np.string_))",
"\ncount = int(np.sum(int_list, dtype=np.unicode_))",
"\ncount = int(np.sum(int_list, dtype=np.bytes_))",
"\ncount = int(np.sum(int_list, dtype=np.void))",
"\ncount = itertools.accumulate(int_list, lambda x, y: x + y)[-1]",
"\ncount = int(math.fsum(int_list))",
"\ncount = int(sum(int_list, dtype=np.int32))",
"\ncount = int(sum(int_list, dtype=np.int64))",
"\ncount = int(sum(int_list, dtype=np.int16))",
"\ncount = int(sum(int_list, dtype=np.int8))",
"\ncount = int(sum(int_list, dtype=np.uint32))",
"\ncount = int(sum(int_list, dtype=np.uint64))",
"\ncount = int(sum(int_list, dtype=np.uint16))",
"\ncount = int(sum(int_list, dtype=np.uint8))",
"\ncount = int(sum(int_list, dtype=np.float32))",
"\ncount = int(sum(int_list, dtype=np.float64))",
"\ncount = int(sum(int_list, dtype=np.complex64))",
"\ncount = int(sum(int_list, dtype=np.complex128))",
"\ncount = int(sum(int_list, dtype=np.bool_))",
"\ncount = int(sum(int_list, dtype=np.object_))",
"\ncount = int(sum(int_list, dtype=np.bytes_))",
"\ncount = int(sum(int_list, dtype=np.str_))",
"\ncount = int(sum(int_list, dtype=np.unicode_))",
"\ncount = int(sum(int_list, dtype=np.void))",
"\ncount = statistics.stdev(int_list)",
"\ncount = statistics.variance(int_list)",
"\ncount = numpy.std(int_list)",
"\ncount = numpy.var(int_list)",
"\ncount = functools.reduce(lambda x, y: x + y, int_list, 0)",
"\ncount = statistics.mean(int_list) * len(int_list)",
"\ncount = np.sqrt(np.mean((int_list - np.mean(int_list)) ** 2))",
"\ncount = np.sqrt(np.sum((int_list - np.mean(int_list)) ** 2) / len(int_list))",
"import operator\ncount = reduce(operator.add, int_list)",
"\ndef _sum_all_elements(nums):\n return reduce(lambda a, b: a + b, nums)\ncount = _sum_all_elements(int_list)"
]