-
Notifications
You must be signed in to change notification settings - Fork 0
/
import-error.json
34 lines (34 loc) · 4.19 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
[
"import numpy as np\ncount = np.sum(arr)",
"\ncount = 0\nfor (index, value) in enumerate(arr):\n count += arr[index]",
"\nd = defaultdict(list)\nfor i in array:\n d[i].append(function(i))\nd = dict(d)",
"\nd = defaultdict(list)\nfor i in array:\n d[i] += [function(i)]",
"\nd = defaultdict(lambda : [function(i)])\nfor i in array:\n if i in d:\n d[i].append(function(i))\n else:\n d[i] = [function(i)]",
"import numpy as np\nd = defaultdict(lambda : [function(i)])\nfor i in array:\n d[i].append(function(i))\nd_array = np.array(list(d.values()))",
"\nd = defaultdict(lambda : [function(i)])\nfor i in array:\n if i in d:\n d[i].append(function(i))\n else:\n d[i] = [function(i)]\nd_array = np.array(list(d.values()))",
"import itertools\nd = defaultdict(lambda : [function(i)])\nfor i in array:\n d[i].append(function(i))\nd_array = list(itertools.chain.from_iterable(d.values()))",
"\nd = defaultdict(lambda : [function(i)])\nfor i in array:\n if i in d:\n d[i].append(function(i))\n else:\n d[i] = [function(i)]\nd_array = list(itertools.chain.from_iterable(d.values()))",
"from collections import defaultdict\narray = sorted(array)\nd = defaultdict(list)\nfor (k, g) in groupby(array):\n for i in g:\n d[k].append(function(i))",
"from collections import defaultdict\narray = sorted(array)\nd = defaultdict(list)\nfor (k, g) in groupby(array):\n d[k].extend([function(i) for i in g])",
"import numpy as np\narray = np.array(array)\nfunction = np.vectorize(function)\nd = defaultdict(list)\nfor i in array:\n d[i].append(function(i))",
"\nd = defaultdict(list)\nfor i in array:\n if i in d:\n d[i] += [function(i)]\n else:\n d[i] = [function(i)]",
"\nd = defaultdict(list)\nfor i in array:\n if i in d:\n d[i].append(function(i))\n else:\n d[i] += [function(i)]",
"\nd = defaultdict(list)\nfor i in array:\n if i not in d:\n d[i] = []\n d[i] += [function(i)]",
"\nd = {i: [function(i)] if i not in d.keys() else d[i] + [function(i)] for i in array}",
"\nd = {}\n\ndef create_dict(array):\n for i in array:\n if i not in d:\n d[i] = []\n return d\ncreate_dict(array)\nd[i].append(function(i))",
"import numpy as np\nvalues = []\nfor i in array:\n values.append(get_value(i))\nd = np.array(values)",
"import numpy as np\nvalues = [get_value(i) for i in array]\nd = np.array(values)",
"import numpy as np\nget_value_np = np.vectorize(get_value)\nd = get_value_np(array)",
"import collections\ndef add_to_dict(i):\n d.setdefault(i, []).append(function(i))\nfor i in array:\n add_to_dict(i)",
"import math\ndef add_to_dict(i):\n d.setdefault(i, []).append(math.sin(i))\nfor i in array:\n add_to_dict(i)",
"import numpy as np\narr = np.array(array)\nd = defaultdict(list)\nfor i in arr:\n d[i].append(function(i))",
"import itertools\narray_iter = itertools.cycle(array)\nd = defaultdict(list)\nfor _ in range(len(array)):\n i = next(array_iter)\n d[i].append(function(i))",
"import numpy as np\narr = np.array(array)\n(i, d) = (arr[0], defaultdict(list))\nd[i].append(function(i))\nfor i in arr[1:]:\n d[i].append(function(i))",
"import numpy as np\narr = np.array(array)\nresult = [function(i) for i in arr]\nd = defaultdict(list)\nfor (i, value) in zip(arr, result):\n d[i].append(value)",
"\nd = {}\nfor i in np.unique(array):\n d[i] = [function(i)]",
"from collections import defaultdict\nnew_dict = defaultdict(list)\nfor element in array:\n new_dict[element].append(function(element))\ni = element\nd = new_dict",
"import numpy as np\narray_df = pd.DataFrame(array, columns=['value'])\narray_df['result'] = array_df['value'].apply(function)\nd = array_df.groupby('value')['result'].apply(list).to_dict()\ni = d['i']\nd = d['d']",
"import numpy as np\narray_df = pd.DataFrame(array, columns=['value'])\narray_df['result'] = array_df['value'].apply(function)\nd = dict(tuple(array_df.groupby('value')['result']).apply(list))\ni = d['i']\nd = d['d']",
"\nfor i in array:\n if i not in d.keys():\n d[i] = [function(i)]\n else:\n d[i].append(function(i))",
"\nd = defaultdict(list)\nfor i in array:\n d[i] = list(function(i))"
]