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incorrect.json
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incorrect.json
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[
"import numpy as np\narray = [1, 2, 3, 4, 5]\nd = {i: [function(i)] if i not in d else d[i] + [function(i)] for i in array}",
"from itertools import groupby\narray.sort()\nd = {}\nfor (key, group) in groupby(array):\n d[key] = []\n count = len(list(group))\n for num in range(count):\n d[key].append(function(key))",
"d = {}\nfor i in array:\n d.update({i: []})\n d[i].append(function(i))",
"import numpy as np\nunique_values = np.unique(array)\nd = {val: [] for val in unique_values}\nfor i in array:\n d[i].append(function(i))",
"d = {}\n[d[x].append(function(i)) if x in d else d.update({x: [function(i)]}) for i in array]",
"d = {}\n[d.update({x: [function(i)]}) if x not in d else d[x].append(function(i)) for i in array]",
"import numpy as np\narray = [1, 2, 3, 4, 5]\nd = {i: [function(i)] for i in array if i not in d}\nfor i in array:\n if i in d:\n d[i].append(function(i))",
"d = {}\nfor i in set(array):\n d[i] = [function(i)]",
"d = {i: [function(i)] for i in array}",
"import numpy as np\narray_counts = np.bincount(array)\nd = {i: [function(i)] * array_counts[i] for i in np.nonzero(array_counts)[0]}",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))\ni = array[-1]\nd[i].pop()",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))\ni = array[0]\nd[i].pop()",
"import numpy as np\narray = np.array(array)\nd = {}\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\narray = np.array(array)\nd = {i: [function(i)] for i in array}",
"array = list(array)\nd = {i: [function(i)] for i in array}",
"from collections import defaultdict\nd = defaultdict(lambda : [function(i)])\nfor i in array:\n d[i].append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {i: [] for i in array}\nfor i in array:\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].extend(function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].insert(0, function(i))\n d[i].insert(len(d[i]), function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].insert(0, function(i))\n d[i].insert(len(d[i]) // 2, function(i))\n d[i].insert(len(d[i]), function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].insert(0, function(i))\n d[i].insert(len(d[i]) // 2, function(i))\n d[i].insert(len(d[i]), function(i))\n d[i].insert(len(d[i]) // 4, function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].insert(0, function(i))\n d[i].insert(len(d[i]) // 2, function(i))\n d[i].insert(len(d[i]), function(i))\n d[i].insert(len(d[i]) // 4, function(i))\n d[i].insert(len(d[i]) // 8, function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].insert(0, function(i))\n d[i].insert(len(d[i]) // 2, function(i))\n d[i].insert(len(d[i]), function(i))\n d[i].insert(len(d[i]) // 4, function(i))\n d[i].insert(len(d[i]) // 8, function(i))\n d[i].insert(len(d[i]) // 16, function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].insert(0, function(i))\n d[i].insert(0, function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].insert(len(d[i]), function(i))\n d[i].insert(len(d[i]), function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].insert(len(d[i]) - 1, function(i))\n d[i].insert(len(d[i]) - 1, function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].insert(0, function(i))\n d[i].insert(0, function(i))\n d[i].insert(0, function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].insert(len(d[i]), function(i))\n d[i].insert(len(d[i]), function(i))\n d[i].insert(len(d[i]), function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].insert(len(d[i]) - 1, function(i))\n d[i].insert(len(d[i]) - 1, function(i))\n d[i].insert(len(d[i]) - 1, function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))\n d[i].append(function(i))",
"array = list(array)\nd = {}\nfor i in set(array):\n d[i] = [function(i)]",
"array = list(array)\nd = {i: [function(i)] for i in set(array)}",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in range(len(array)):\n if array[i] in d:\n d[array[i]].append(function(array[i]))\n else:\n d[array[i]] = [function(array[i])]",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in np.nditer(array):\n if i in d:\n d[i].append(function(i))\n else:\n d[i] = [function(i)]",
"import pandas as pd\narray = list(array)\ndf = pd.DataFrame(array, columns=['i'])\ndf['d'] = df['i'].apply(function)\nd = df.groupby('i')['d'].apply(list).to_dict()",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].extend(function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d.get(i).extend(function(i))",
"from collections import defaultdict\nd = defaultdict(list)\nfor i in array:\n d[i].append(function(i))\ni = array[-1]\nd[i].append(function(i))",
"import collections\nd = collections.defaultdict(list)\nfor i in array:\n d[i].append(function(i))\ni = array[-1]\nd[i].append(function(i))",
"from collections import defaultdict\nd = defaultdict(list)\nfor i in array:\n d[i].append(function(i))\ni = array[0]\nd[i].append(function(i))",
"import collections\nd = collections.defaultdict(list)\nfor i in array:\n d[i].append(function(i))\ni = array[0]\nd[i].append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n d[i] = [function(i)]",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in range(len(array)):\n d[array[i]] = [function(array[i])]",
"import numpy as np\narray = np.array(array)\nd = {}\nfor (i, val) in enumerate(array):\n d[val] = [function(val)]",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in range(len(array)):\n d[array[i]] = [function(array[i])] if array[i] not in d else d[array[i]]",
"import numpy as np\narray = np.array(array)\nd = {}\nfor (i, val) in enumerate(array):\n d[val] = [function(val)] if val not in d else d[val]",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in range(len(array)):\n d[array[i]] = [function(array[i])]\ni = len(array) - 1\nd[array[i]] = [function(array[i])] if i >= 0 else []",
"import numpy as np\narray = np.array(array)\nd = {}\nfor (i, value) in enumerate(array):\n d[value] = [function(value)]\ni = len(array) - 1\nd[array[i]] = [function(array[i])] if i >= 0 else []",
"import numpy as np\narray = np.array(array)\nd = {i: [function(i)] for i in np.nditer(array)}",
"array = list(array)\nd = {i: [function(i)] for i in list(array)}",
"import numpy as np\narray = np.array(array)\nd = {i: [function(i)] for i in np.nditer(array) if i > 0}",
"array = list(array)\nd = {i: [function(i)] for i in list(array) if i > 0}",
"array = list(array)\nd = {i: [function(i)] for i in list(array) if i % 2 == 0}",
"array = list(array)\nd = {i: [function(i)] for i in list(array) if i % 2 == 0 and i > 0}",
"array = list(array)\nd = {}\nfor i in array:\n d[i] = [function(i)]",
"import numpy as np\narray = list(array)\nd = dict(zip(array, [function(i) for i in array]))",
"import numpy as np\narray = list(array)\nd = dict(zip(array, map(function, array)))",
"import numpy as np\narray = list(array)\nd = dict()\nfor i in array:\n d[i] = [function(i)]",
"from collections import defaultdict\nd = defaultdict(lambda : [function(i)])\nfor i in array:\n d[i].extend(function(i))",
"from collections import defaultdict\nd = defaultdict(list)\nfor i in array:\n d[i].extend(function(i))",
"from collections import defaultdict\nd = defaultdict(lambda : [function(i)])\nfor i in array:\n d[i] += function(i)",
"from collections import defaultdict\nd = defaultdict(list)\nfor i in array:\n d[i] += function(i)",
"from collections import defaultdict\nd = defaultdict(lambda : [function(i)])\nfor i in array:\n d[i].insert(0, function(i))",
"from collections import defaultdict\nd = defaultdict(lambda : [function(i)])\nfor i in array:\n d[i].insert(0, *function(i))",
"from collections import defaultdict\nd = defaultdict(list)\nfor i in array:\n d[i].insert(0, *function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {i: [] for i in set(array)}\nfor i in array:\n d[i].append(function(i))",
"from itertools import groupby\narray = sorted(array)\nd = {k: [function(i) for i in g] for (k, g) in groupby(array)}",
"import numpy as np\narray = np.array(array)\nd = dict.fromkeys(array, [])\nfor i in array:\n d[i].append(function(i))",
"array = list(array)\nd = dict.fromkeys(array, [])\nfor i in array:\n d[i].append(function(i))",
"import itertools\narray = sorted(array)\nd = {k: [function(i) for i in g] for (k, g) in itertools.groupby(array)}",
"import itertools\narray = sorted(array)\nd = {}\nfor (k, g) in itertools.groupby(array):\n d[k] = [function(i) for i in g]",
"import itertools\narray = sorted(array)\nd = {}\nfor (k, g) in itertools.groupby(array):\n d[k] = [function(i) for i in g]\n d[k].sort()",
"import functools\narr = list(array)\nd = functools.reduce(lambda x, y: {**x, y: [function(y)]}, arr, {})",
"from itertools import groupby\narray.sort()\nd = {}\nfor (i, group) in groupby(array):\n d[i] = list(map(function, group))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in np.unique(array):\n d[i] = []\nfor i in array:\n d[i].append(function(i))",
"from itertools import groupby\narray.sort()\nd = {key: [function(i) for i in group] for (key, group) in groupby(array)}",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n d.setdefault(i, []).append(function(i))",
"import numpy as np\narray = np.array(array)\nfunction = np.vectorize(function)\nd = {i: function(i) for i in array}",
"import numpy as np\narray = np.array(array)\nfunction = np.vectorize(function)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))",
"from collections import defaultdict\noutput = defaultdict(list)\nfor i in array:\n output[i].append(function(i))\noutput",
"from itertools import groupby\narray.sort()\noutput = {}\nfor (key, group) in groupby(array):\n output[key] = [function(i) for i in group]\noutput",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in set(array):\n d[i] = []\nfor i in array:\n d[i].append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))",
"import itertools\narray = list(array)\nd = {i: [] for i in array}\nfor i in itertools.chain.from_iterable(array):\n d[i].append(function(i))",
"import functools\narray = list(array)\nd = functools.reduce(lambda x, y: {i: [] for i in x} if isinstance(x, list) else x, array)\nfor i in array:\n d[i].append(function(i))",
"d = {i: [function(i)] for i in array if i not in d}\nfor i in array:\n if i in d:\n d[i].append(function(i))\n else:\n d[i] = [function(i)]",
"import pandas as pd\nd = pd.DataFrame(columns=['i', 'd'])\nfor i in array:\n d = d.append({'i': i, 'd': function(i)}, ignore_index=True)",
"import numpy as np\narray = np.array(array)\nd = {i: [] for i in np.unique(array)}\nfor i in array:\n d[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\nd[i].append(function(i))",
"d = {}\ni = 0\nwhile i < len(array):\n if array[i] not in d:\n d[array[i]] = []\n d[array[i]].append(function(array[i]))\n i += 1",
"import numpy as np\narray = np.array(array)\nd = {}\n\ndef add_to_dict(i):\n if i in d:\n d[i].append(function(i))\n else:\n d[i] = [function(i)]\nfor i in array:\n add_to_dict(i)",
"import pandas as pd\ndata = pd.DataFrame()\n\ndef add_to_dict(i):\n if i in data:\n data[i].append(function(i))\n else:\n data[i] = [function(i)]\nfor i in array:\n add_to_dict(i)\nd = data.to_dict()",
"d = {}\n\ndef add_to_dict(i):\n if i in d:\n d[i].append(function(i))\n else:\n d[i] = [function(i)]\narray = sorted(array)\nfor i in array:\n add_to_dict(i)",
"import pandas as pd\nd = pd.Series()\nfor i in array:\n if i not in d:\n d[i] = [function(i)]\n else:\n d[i].append(function(i))",
"import numpy as np\narr = np.array(array)\nresult = np.zeros(arr.max() + 1, dtype=int)\nfor a in arr:\n result[a] += function(a)\nresult",
"from collections import Counter\nc = Counter(array)\nd = {}\nfor i in array:\n d[i] = list(c[i] * function(i))",
"from itertools import groupby\nd = {}\narray.sort()\nfor (k, g) in groupby(array):\n if k not in d:\n d[k] = []\n d[k].extend((function(k) for i in g))",
"from collections import defaultdict\ndef add_to_dict(i):\n d = defaultdict(list)\n d[i].append(function(i))\nfor i in array:\n add_to_dict(i)",
"import pandas as pd\ndef add_to_dict(i):\n d = pd.DataFrame()\n d[i] = function(i)\nfor i in array:\n add_to_dict(i)",
"from collections import defaultdict\nd = defaultdict(list)\nloop = True\ncounter = 0\nwhile loop:\n i = array[counter]\n d[i].append(function(i))\n counter += 1\n if counter == len(array):\n loop = False",
"import numpy as np\nd = {i: np.append(function(i)) for i in np.unique(array)}",
"import numpy as np\nd = np.array([])\nfor i in array:\n if i not in d:\n d = np.append(d, i)\n d[i] = []\n d[i].append(function(i))",
"import pandas as pd\ndef function(i):\n return i\n\ndef create_dataframe(array, function):\n d = pd.DataFrame(columns=['i', 'd'])\n for i in array:\n d = d.append({'i': i, 'd': function(i)}, ignore_index=True)\n return d\narray = [1, 2, 3, 4, 5]\ncreate_dataframe(array, function)",
"import numpy as np\nnew_dict = {}\nfor element in array:\n if element not in new_dict:\n new_dict[element] = [function(element)]\n else:\n new_dict[element].append(function(element))\ni = element\nnew_dict[i][-1] = function(new_dict[i][-1])",
"from collections import defaultdict\nnew_dict = defaultdict(list)\nfor element in array:\n new_dict[element].extend([function(element)])\nd = (new_dict, i) = element",
"import pandas as pd\narray_df = pd.DataFrame(array, columns=['value'])\narray_df['result'] = array_df['value'].apply(function)\nd = {key: value.tolist() for (key, value) in array_df.groupby('value')['result']}\ni = d['i']\nd = d['d']",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in np.unique(array):\n d[i] = [function(j) for j in array if j == i]",
"from itertools import groupby\nd = {}\nfor (key, group) in groupby(sorted(array)):\n d[key] = [function(i) for i in group]",
"import itertools\narray.sort()\nd = {}\nfor i in array:\n sub_list = [function(j) for j in array if i == j]\n if i not in d:\n d[i] = list(itertools.compress(array, [i == j for j in array if i == j]))",
"import numpy as np\narray_unique = np.unique(array)\nfor i in array_unique:\n if i not in d:\n initialize_dict(i)\n else:\n d[i].append(function(i))",
"d = {}\nfor i in set(array):\n d[i] = [function(i)] if i not in d else d[i].append(function(i))",
"import itertools\narray_unique = list(set(array))\nfor i in array_unique:\n if i not in d:\n initialize_dict(i)\n else:\n d[i].append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in np.unique(array):\n d[i] = []\nfor i in np.nditer(array):\n d[i].append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in np.unique(array):\n d[i] = []\nfor i in range(len(array)):\n d[array[i]].append(function(array[i]))",
"array = set(array)\nd = {i: [] for i in array}\nfor i in array:\n d[i].append(function(i))",
"import itertools\narray = sorted(list(set(array)))\nd = {i: [] for i in array}\nfor i in array:\n d[i].append(function(i))",
"import functools\narray = sorted(list(set(array)))\nd = dict(zip(array, functools.repeat([], len(array))))\nfor i in array:\n d[i].append(function(i))",
"result = {i: [function(i)] for i in array}\nd = result",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n for j in array:\n if j == i:\n d[i].append(function(j))",
"array = sorted(array)\nd = {}\nfor i in array:\n if i in d:\n d[i].append(function(i))\n else:\n d[i] = [function(i)]",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\nd.get(i).append(function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\nd.get(i, []).append(function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\nd.setdefault(i, []).append(function(i))",
"d = {i: [] for i in array}\nfor i in array:\n if i not in d:\n d[i] = []\nd[i].append(function(i))",
"d = {i: [] for i in array}\nfor i in array:\n if i not in d:\n d[i] = []\nd.get(i).append(function(i))",
"d = {i: [] for i in array}\nfor i in array:\n if i not in d:\n d[i] = []\nd.get(i, []).append(function(i))",
"d = {i: [] for i in array}\nfor i in array:\n if i not in d:\n d[i] = []\nd.setdefault(i, []).append(function(i))",
"d = dict()\nfor i in array:\n if i not in d:\n d[i] = []\nd[i].append(function(i))",
"d = dict()\nfor i in array:\n if i not in d:\n d[i] = []\nd.get(i).append(function(i))",
"d = dict()\nfor i in array:\n if i not in d:\n d[i] = []\nd.get(i, []).append(function(i))",
"d = dict()\nfor i in array:\n if i not in d:\n d[i] = []\nd.setdefault(i, []).append(function(i))",
"d = dict.fromkeys(array, [])\nfor i in array:\n d[i].append(function(i))",
"d = dict.fromkeys(array, [])\nfor i in array:\n d.get(i, []).append(function(i))",
"d = dict.fromkeys(array, [])\nfor i in array:\n d.setdefault(i, []).append(function(i))",
"d = dict.fromkeys(array, [])\nfor i in array:\n if i not in d:\n d[i] = []\nd[i].append(function(i))",
"d = dict.fromkeys(array, [])\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))",
"d = dict.fromkeys(array, [])\nfor i in array:\n if i not in d:\n d[i] = []\nd.get(i).append(function(i))",
"d = dict.fromkeys(array, [])\nfor i in array:\n if i not in d:\n d[i] = []\nd.get(i, []).append(function(i))",
"d = dict.fromkeys(array, [])\nfor i in array:\n if i not in d:\n d[i] = []\nd.setdefault(i, []).append(function(i))",
"import numpy as np\narray_np = np.array(array)\nunique_values = np.unique(array_np)\nd = {value: [] for value in unique_values}\nfor i in array:\n d[i].append(function(i))",
"import numpy as np\nresult = {i: [function(i)] for i in set(array)}\nd = result",
"import numpy as np\nresult = {}\nfor i in set(array):\n result[i] = [function(i)]\nd = result",
"import numpy as np\nresult = {i: [function(i)] if i not in result else result[i] + [function(i)] for i in array}\nd = result",
"d = {}\nfor i in array:\n d[i] = [function(i)]",
"result = {i: function(i) for i in array}\nd = result",
"d = {i: function(i) for i in array}",
"result = {i: [function(i)] for i in array}\nd = {k: result[k] for k in result}",
"result = {i: [function(i)] for i in array}\nd = {k: result[k] for k in result.keys()}",
"result = {i: [function(i)] for i in array}\nd = {k: v for (k, v) in result.items()}",
"import numpy as np\narray = np.array(array)\nd = {i: list(function(i)) for i in array}",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i] += list(function(i))",
"import numpy as np\narray = np.array(array)\nd = {i: [] for i in array}\nfor i in array:\n d[i].extend(list(function(i)))",
"from itertools import groupby\narray.sort()\nd = {}\nfor (i, group) in groupby(array):\n d[i] = list(map(function, list(group)))",
"import numpy as np\nd = dict(zip(array, np.zeros(len(array)).tolist()))\nfor i in array:\n d[i].append(function(i))",
"import itertools\narray_permutations = list(itertools.permutations(array))\nd = {}\nfor i in set(array):\n d[i] = [function(j) for j in array_permutations if j.count(i) > 0]",
"from collections import defaultdict\narray_counter = defaultdict(int)\nfor j in array:\n array_counter[j] += 1\nd = {}\nfor i in set(array):\n d[i] = [function(j) for j in array if array_counter[j] == array_counter[i]]",
"import numpy as np\narray_counts = np.bincount(array)\nd = {}\nfor i in set(array):\n d[i] = array_counts[i]",
"import numpy as np\narray_counts = np.unique(array, return_counts=True)\nd = {}\nfor i in set(array):\n d[i] = [function(j) for j in array if j == i]",
"import numpy as np\narray_counts = np.bincount(array)\nd = {}\nfor i in set(array):\n d[i] = [function(j) for j in array if j == i]",
"import numpy as np\nd = {}\nfor i in array:\n d[i] = np.array([function(j) for j in array if j == i])",
"import itertools\nd = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n for j in itertools.filterfalse(lambda x: x != i, array):\n d[i].append(function(j))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in np.unique(array):\n d[i] = []\n for j in array:\n if j == i:\n d[i].append(function(j))",
"from collections import defaultdict\nd = defaultdict(list)\nfor i in array:\n for j in array:\n if j == i:\n d[i].append(function(j))",
"d = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n for j in array[array == i]:\n d[i].append(function(j))",
"import numpy as np\narray = np.sort(array)\nd = {}\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\narray = np.sort(array)\nd = {}\nfor i in array:\n if i in d.keys():\n d[i].append(function(i))\n else:\n d[i] = [function(i)]",
"array = sorted(array)\nd = {}\nfor i in array:\n d.setdefault(i, []).append(function(i))",
"import numpy as np\narray = np.sort(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))",
"array = sorted(array)\nd = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))",
"array = sorted(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))",
"from itertools import groupby\narray = sorted(array)\nd = {}\nfor (key, group) in groupby(array):\n d[key] = [function(i) for i in group]",
"import numpy as np\narray = np.sort(array)\nd = {i: [function(i)] for i in array}",
"from collections import defaultdict\narray = sorted(array)\nd = defaultdict(list)\nfor i in array:\n d[i].append(function(i))",
"import numpy as np\narray = np.sort(array)\nd = {i: [function(i)] for i in np.unique(array)}",
"import numpy as np\narray = list(array)\nd = {i: [] for i in np.unique(array)}\nfor i in array:\n d[i].append(function(i))",
"import numpy as np\narray = list(array)\nd = {i: [] for i in np.unique(array)}\nfor i in array:\n if i in d:\n d[i].append(function(i))",
"import numpy as np\narray = list(array)\nd = {i: [] for i in np.unique(array)}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))",
"import numpy as np\narray = list(array)\nd = {i: [] for i in np.unique(array)}\nfor i in array:\n if i in d:\n d[i].extend([function(i)])\n else:\n d[i] = [function(i)]",
"import numpy as np\narray = list(array)\nd = {i: [] for i in np.unique(array)}\nfor i in array:\n if i in d:\n d[i].extend([function(i)])\n else:\n d[i] = [function(i)]\n d[i].sort()",
"import numpy as np\narray = list(array)\nd = {i: [] for i in np.unique(array)}\nfor i in array:\n if i in d:\n d[i].extend([function(i)])\n else:\n d[i] = [function(i)]\n d[i].sort(reverse=True)",
"import numpy as np\narray = list(array)\nd = {i: [] for i in np.unique(array)}\nfor i in array:\n if i in d:\n d[i].append(function(i))\n else:\n d[i] = [function(i)]\n d[i].sort()",
"import numpy as np\narray = list(array)\nd = {i: [] for i in np.unique(array)}\nfor i in array:\n if i in d:\n d[i].append(function(i))\n else:\n d[i] = [function(i)]\n d[i].sort(reverse=True)",
"import collections\narray = list(array)\nd = collections.defaultdict(list)\nfor i in range(len(array)):\n d[array[i]].extend(function(array[i]))",
"import collections\narray = list(array)\nd = collections.defaultdict(list)\nfor i in range(len(array)):\n d[array[i]].extend(function(i))",
"import collections\narray = list(array)\nd = collections.defaultdict(list)\nfor i in array:\n d[i].extend(function(i))",
"import collections\narray = list(array)\nd = collections.defaultdict(list)\nfor i in array:\n d[i].extend(function(array[i]))",
"import collections\narray = list(array)\nd = collections.defaultdict(list)\nfor i in array:\n d[i].append(function(array[i]))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))\ni = array[-1]\nd[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))\ni = array[-1]\nd[i].append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))\ni = array[0]\nd[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))\ni = array[0]\nd[i].append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))\ni = array[0]\nd[i].append(function(i))\nd[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))\ni = array[0]\nd[i].append(function(i))\nd[i].append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))\ni = array[-1]\nd[i].append(function(i))\nd[i].append(function(i))",
"d = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].append(function(i))\ni = array[-1]\nd[i].append(function(i))\nd[i].append(function(i))",
"array = sorted(array, reverse=True)\nd = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))",
"import itertools\narray = list(itertools.chain.from_iterable(array))\nd = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))",
"import functools\narray = functools.reduce(lambda x, y: x + y, array)\nd = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))",
"import math\narray = [math.floor(x) for x in array]\nd = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d[i].append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d.get(i).append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d.setdefault(i, []).append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i] += [function(i)]",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d:\n d[i] = []\n d[i].extend([function(i)])",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d.get(i).append(function(i))",
"import numpy as np\narray = np.array(array)\nd = {}\nfor i in array:\n if i not in d.keys():\n d[i] = []\n d.get(i).extend([function(i)])"
]