-
Notifications
You must be signed in to change notification settings - Fork 0
/
import-error.json
143 lines (143 loc) · 10.6 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
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
[
"\ncounts = collections.defaultdict(int)\nfor i in iterable:\n counts[i] += 1",
"\ncounts = np.zeros(len(iterable), dtype=np.int64)\nfor i in range(len(iterable)):\n counts[i] += 1",
"\ncounts = collections.Counter(iterable)",
"\ncounts = dict(Counter(iterable))",
"\ncounts = list(Counter(iterable))",
"\ncounts = set(Counter(iterable))",
"\ncounts = sorted(Counter(iterable))",
"\ncounts = sorted(Counter(iterable), reverse=True)",
"import numpy as np\ncounts = np.array(Counter(iterable))",
"import pandas as pd\ncounts = pd.Series(Counter(iterable))",
"\ncounts = defaultdict(int, {})\nfor i in iterable:\n counts[i] += 1",
"\ncounts = collections.Counter(iterable)\nfor i in iterable:\n counts[i] += 1",
"import itertools as it\ncounts = collections.defaultdict(int)\nfor i in it.combinations(iterable, 2):\n counts[i[0], i[1]] += 1",
"import functools as ft\ncounts = functools.reduce(lambda x, y: x + y, [Counter([x]) for x in iterable])",
"\ndef _count(iterable, counts):\n for i in iterable:\n counts[i] += 1\ncounts = collections.defaultdict(int)\n_count(iterable, counts)",
"\ncounts = defaultdict(int)",
"\ncounts = collections.defaultdict(int)",
"\ncounts = np.zeros(len(iterable), dtype=np.int64)\nfor (index, value) in enumerate(iterable):\n counts[index] += 1",
"\ncounts = collections.Counter([x for x in iterable])",
"\ncounts = collections.Counter()\nfor item in iterable:\n counts[item] += 1",
"\ncounts = collections.Counter(iterable).items()",
"\ncounts = {k: v for (k, v) in collections.Counter(iterable).items()}",
"\ncounts = list(zip(iterable, collections.Counter(iterable).values()))",
"\ncounts = defaultdict(int)(iterable)",
"\ncounts = Counter()\nfor i in iterable:\n counts[i] += 1",
"\ncounts = dict(filter(lambda elem: elem[1] > 0, list(zip(iterable, Counter(iterable).values()))))",
"\ncounts = {j: i for (i, j) in Counter(iterable).items()}",
"\ncounts = dict(Counter(iterable).items())",
"\ncounts = Counter(iterable).values()",
"import itertools\ncounts = list(itertools.chain.from_iterable(Counter(iterable).values()))",
"\ncounts = [count for (_, count) in Counter(iterable).items()]",
"\ncount = 0\nfor value in iterable:\n count += Counter(iterable)[value]\ncounts = [count]",
"\ncounts = set([element for element in Counter(iterable)])",
"\ncounts = sorted(dict(Counter(iterable)))",
"\ncounts = sorted([(x, Counter(iterable)[x]) for x in Counter(iterable)])",
"\ncounts = sorted([(x, Counter(iterable)[x]) for x in set(iterable)])",
"\ncounts = sorted([(k, v) for (k, v) in Counter(iterable).items()], key=lambda x: x[1], reverse=True)",
"\ncounts = sorted({key: value for (key, value) in Counter(iterable).items()})",
"\ncounts = sorted([(key, value) for (key, value) in Counter(iterable).items()])",
"import collections as c\ncounts = c.Counter(iterable).most_common(n)",
"\ncounts = Counter(iterable).most_common(len(iterable))",
"\ncounts = np.array(dict(Counter(iterable)))",
"\ncounts = np.array(Counter(iterable).values())",
"\ncounts = np.array(list(Counter(iterable).values()))",
"\ncounts = [i for i in Counter(iterable).values()]",
"\nfor value in iterable:\n counts.append(Counter(value))",
"\nfor (index, value) in enumerate(iterable):\n counts.append(Counter(value))",
"\nfor (index, value) in enumerate(iterable):\n counts[index] = Counter(value)",
"import numpy as np\ncounts = np.array([dict(Counter(iterable))])",
"from itertools import groupby\ncounts = np.array([len(list(group)) for (k, group) in groupby(iterable)])",
"import sys\ncounts = np.array([sys.getsizeof(i) for i in iterable])",
"\ncounts = dict(collections.Counter(iterable))",
"import itertools\nfrom collections import defaultdict\ncounts = defaultdict(int, itertools.chain.from_iterable([[i] * counts.get(i, 0) for i in iterable]))",
"\ncounts = collections.defaultdict(int)\nfor i in iterable:\n counts[i] += 1\ncounts = dict(counts)",
"\ncounts = list(Counter(iterable).items())",
"\ncounts = Counter(iterable).most_common(1)[0]",
"\ncounts = collections.defaultdict(int)\nfor i in iterable:\n counts[i] += 1\ncounts = {i: counts[i] for i in counts.keys()}",
"\ncounts = collections.Counter(iterable)\ncounts = dict(counts)",
"\ncounts = list(zip(iterable, Counter(iterable).values()))",
"\ncounts = list(map(lambda x: (x, Counter(iterable)[x]), iterable))",
"\ncounts = sorted(Counter(iterable).items(), key=lambda x: x[1])",
"\ncounts = [(k, Counter(iterable)[k]) for k in sorted(Counter(iterable).keys())]",
"\ncounts = Counter(iterable).items()",
"\ncounts = list(sorted(Counter(iterable).items(), key=lambda x: x[1], reverse=True))",
"\ncounts = sorted(Counter(iterable).items(), key=lambda x: x[1], reverse=True)",
"\ncounts = sorted(Counter(iterable).items(), key=lambda x: x[1], reverse=True)[:k]",
"\ncounts = Counter(iterable).most_common(1)[0][0]",
"\ncounts = collections.Counter(iterable).values()",
"\ncounts = collections.Counter(iterable).keys()",
"\ncounts = {key: value for (key, value) in dict(collections.Counter(iterable)).items()}",
"\ncounts = [x for x in collections.Counter(iterable).items()]",
"\ncounts = list(dict(Counter(iterable)).items())",
"\ncounts = [(key, value) for (key, value) in Counter(iterable).items()]",
"\ncounts = [(key, value) for (key, value) in dict(Counter(iterable)).items()]",
"\ncounts = [(key, value) for (key, value) in collections.Counter(iterable).items()]",
"\ncounts = [(key, value) for (key, value) in dict(collections.Counter(iterable)).items()]",
"\ncounts.extend(iterable)",
"\ncounts = list(itertools.chain(iterable, counts))",
"\ncounts = collections.defaultdict(int)\nfor i in iterable:\n counts[i] += 1\ncounts",
"\ncounts = list(Counter(iterable).keys())",
"\ncounts = list(Counter(iterable).values())",
"\ncounts = list(Counter(iterable).most_common())",
"\ncounts = {i: counts.get(i, 0) + 1 for i in iterable}",
"\ncounts = collections.defaultdict(int)\nfor (i, value) in enumerate(iterable):\n counts[value] += 1",
"\ncounts[value] = counts.get(value, 0) + 1",
"\ncounts = []\nfor (i, value) in enumerate(iterable):\n counts.append(1)\ncounts = np.array(counts)",
"\ncounts = np.zeros(len(iterable))\nfor (i, value) in enumerate(iterable):\n counts[i] += 1",
"\ncounts = [i for i in iterable]\ncounts.count(i)",
"\nc = collections.Counter(iterable)\ncounts = c",
"\ncounts = Counter(iterable)\ncounts_dict = counts.items()\ncounts = dict(counts_dict)",
"\nc = collections.Counter(iterable)\ncounts = c.most_common()",
"\ndef default_func():\n return 0\ncounts = collections.defaultdict(default_func)\nfor i in iterable:\n counts[i] += 1",
"\ncounts = np.bincount(iterable, minlength=len(iterable))",
"\ncounts = collections.Counter((i for i in iterable))",
"\ncounts.count(i)",
"\ncounts = list(dict(sorted(Counter(iterable).items(), key=operator.itemgetter(1), reverse=True)).values())",
"\nc = collections.Counter(iterable)\ncounts = c.most_common(len(iterable))",
"import heapq\nc = collections.Counter(iterable)\ncounts = heapq.nlargest(len(iterable), c.items(), key=lambda x: x[1])",
"\ncounts = Counter(iterable)\ncounts = collections.OrderedDict(sorted(counts.items(), key=lambda x: x[1]))",
"\ndef default_func():\n return 0\ncounts = collections.defaultdict(default_func)\nfor (i, element) in enumerate(iterable):\n counts[i] += element",
"\ncounts = dict()\nfor (key, value) in enumerate(arr):\n counts[key] += value",
"\ncounts = dict()\nfor (key, value) in arr.items():\n counts[key] += value",
"\narr = np.array(list(iterable))\ncounts = np.unique(arr, return_counts=True)[1]",
"\nnp.bincount(arr)",
"\ncounts = 0\nfor (index, value) in enumerate(arr):\n if value > 0:\n counts += 1",
"\ncounts = list(map(lambda x: counts.get(x, 0) + 1, iterable))",
"\nnp.count_nonzero(counts[i])",
"from collections import Counter\ncounts = Counter(iterable).get(i, 0)",
"\ncounts = {k: v for (k, v) in Counter(iterable).items() if v > 0}",
"\ncounts = {k: v for (k, v) in Counter(iterable).items() if v > 0 and k in ['a', 'b']}",
"\ncounts = {k: v for (k, v) in Counter(iterable).items() if v > 0 and k in ['a', 'b'] and (v < 10)}",
"\ncounts = collections.defaultdict(int)\nfor (k, v) in enumerate(iterable, start=10000):\n counts[k] += v",
"\ncounts = collections.defaultdict(int)\nfor (k, v) in enumerate(iterable, start=100000):\n counts[k] += v",
"\ncounts = collections.defaultdict(int)\nfor (k, v) in enumerate(iterable, start=1000000):\n counts[k] += v",
"\ncounts = dict(((k, v) for (k, v) in Counter(iterable).items() if v > 0))",
"\ncounts = dict(Counter(iterable).items()) if any((v > 0 for v in Counter(iterable).values())) else {}",
"\ncounts = Counter(iterable)\ncounts = {k: v for (k, v) in counts.items() if v > 0 and k in ['a', 'b']} if counts else {}",
"\ncounts = Counter(iterable)\ncounts = {k: v for (k, v) in counts.items() if v > 0 and k in ['a', 'b']} if counts else {}\ncounts = dict(counts)",
"\ncounts = collections.defaultdict(int)\nfor (k, v) in enumerate(iterable):\n counts[k] += v",
"\ncounts = list(map(lambda x: x[1], Counter(iterable).items()))",
"\ncounts = Counter(iterable).most_common()",
"\ncounts = OrderedDict()\nfor i in iterable:\n counts[i] = counts.get(i, 0) + 1",
"\ncounts = []\nfor (key, value) in Counter(iterable).items():\n counts.append(value)",
"\ncounts = sorted(dict(Counter(iterable)).items(), key=lambda x: x[1], reverse=True)",
"\ncounts = list(map(lambda x: x[0], sorted(dict(Counter(iterable)).items(), key=lambda x: x[1], reverse=True)))",
"\ncounts = [x[0] for x in sorted(dict(Counter(iterable)).items(), key=lambda x: x[1], reverse=True)]",
"\ncounts = [x[0] for x in sorted(dict(Counter(iterable)).items(), key=lambda x: x[1], reverse=True) if x[1] > 1]",
"\ncounts = Counter(iterable).most_common(n=10)",
"import itertools\ncounts = sorted(Counter(iterable).items(), key=lambda x: x[1], reverse=True)[:10]",
"\ncounts = list(itertools.takewhile(lambda x: x[1] >= 10, sorted(Counter(iterable).items(), key=lambda x: x[1], reverse=True)))",
"\ncounts = [x[0] for x in sorted(Counter(iterable).items(), key=lambda x: x[1], reverse=True)[:10]]",
"\ncounts = collections.Counter(iterable).most_common()[:10]",
"\ncounts = [(item, counts.get(item, 0) + 1) for item in iterable]",
"\ncounts = Counter(iterable).items()\ncounts = {item: count for (item, count) in counts}",
"\ncounts = Counter(iterable)\ncounts = dict(counts.items())",
"\ncounts = Counter(iterable)\ncounts = dict(counts)",
"\ncounts = []\nfor i in iterable:\n counts.append(1)\ncounts = collections.Counter(counts)",
"\nfor (k, v) in enumerate(arr):\n counts[k] += v",
"\ncounts.clear()",
"\ncounts.update({i: counts[i] + 1})",
"\ncounts.append(counts[i] + 1)"
]