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type-error.json
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type-error.json
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[
"import numpy as np\ncount = np.sum(int_list)",
"from functools import reduce\ncount = reduce(lambda x, y: x + y, int_list)",
"import functools\ncount = functools.reduce(lambda a, b: a + b, int_list)",
"import functools\nimport operator\ncount = functools.reduce(operator.add, int_list)",
"import functools\ncount = functools.reduce(lambda x, y: x + y, int_list)",
"from operator import add\nimport functools\ncount = functools.reduce(add, int_list)",
"from itertools import accumulate\ncount = list(accumulate(int_list))[-1]",
"count = eval('+'.join(map(str, int_list)))",
"from functools import reduce\ncount = reduce(lambda a, b: a + b, int_list)",
"import numpy as np\ncount = np.array(int_list).sum()",
"import numpy as np\nint_array = np.array(int_list)\ncount = np.sum(int_array)",
"import numpy as np\ncount = np.add.reduce(int_list)",
"import functools\ncount = 0\ncount = functools.reduce(lambda a, b: a + b, int_list)",
"import numpy as np\ncount = 0\ncount = np.sum(int_list)",
"import numpy as np\ntry:\n count = np.sum(int_list)\nexcept TypeError:\n pass",
"try:\n count = sum(int_list)\nexcept TypeError:\n pass",
"count = 0\ntry:\n for (index, value) in enumerate(int_list):\n count += int_list[index]\nexcept TypeError:\n pass",
"count = 0\ntry:\n for index in range(len(int_list)):\n count += int_list[index]\nexcept TypeError:\n pass",
"from functools import reduce\ntry:\n count = reduce(lambda x, y: x + y, int_list)\nexcept TypeError:\n pass",
"import itertools\ntry:\n count = sum(itertools.chain(int_list))\nexcept TypeError:\n pass",
"count = 0\nfor i in map(int, int_list):\n count += i",
"import numpy as np\ncount = int(np.sum(int_list))",
"import numpy as np\ncount = int(np.add.reduce(int_list))",
"import numpy as np\nint_array = np.array(int_list)\ncount = int_array.sum()",
"import functools\ncount = 0\nfunctools.reduce(lambda a, b: a + b, int_list)",
"import math\nimport numpy as np\ncount = np.sum(np.array(int_list, dtype=float))",
"count = sum(map(float, int_list))",
"count = 0\nfor i in int_list:\n count += float(i)",
"count = sum([float(i) for i in int_list])",
"import functools\ntry:\n count = functools.reduce(lambda x, y: x + y, int_list)\nexcept TypeError:\n pass",
"import numpy as np\ntry:\n count = np.add.reduce(int_list)\nexcept TypeError:\n pass",
"import math\ntry:\n count = math.fsum(int_list)\nexcept TypeError:\n pass",
"import numpy as np\ncount = 0\ntry:\n count = np.sum(int_list)\nexcept TypeError:\n pass",
"import numpy as np\ncount = 0\ntry:\n count = np.add.reduce(int_list)\nexcept TypeError:\n pass",
"import functools\ntry:\n count = functools.reduce(lambda a, b: a + b, int_list)\nexcept TypeError:\n pass",
"try:\n count = 0\n for i in range(len(int_list)):\n count += int_list[i]\nexcept TypeError:\n pass",
"try:\n count = 0\n for i in int_list:\n count += i\nexcept TypeError:\n pass",
"try:\n count = 0\n for (index, value) in enumerate(int_list):\n count += int_list[index]\nexcept TypeError:\n pass",
"import numpy as np\ntry:\n count = np.array(int_list).sum()\nexcept TypeError:\n pass",
"count = 0\ntry:\n count = sum(int_list)\nexcept TypeError:\n pass",
"count = 0\ntry:\n count = sum([i for i in int_list])\nexcept TypeError:\n pass",
"try:\n count = sum(map(int, int_list))\nexcept TypeError:\n pass",
"from operator import add\nimport functools\ntry:\n count = functools.reduce(add, int_list)\nexcept TypeError:\n pass",
"count = 0\ntry:\n for (index, value) in enumerate(int_list):\n count += value\nexcept TypeError:\n pass",
"import numpy as np\ncount = np.sum(int_list)\ntry:\n count = int(count)\nexcept ValueError:\n pass",
"import numpy as np\nint_list = list(map(int, int_list))\ncount = np.sum(int_list)",
"from functools import reduce\ncount = reduce(lambda x, y: x + y, map(int, int_list))",
"count = 0\nfor i in int_list:\n count += int(i)",
"from functools import reduce\ncount = reduce(lambda x, y: x + y, list(map(int, int_list)))",
"count = 0\nfor index in range(len(int_list)):\n count += int(int_list[index])",
"count = sum((int(i) for i in int_list))",
"from operator import add\nfrom functools import reduce\ncount = reduce(add, map(int, int_list))",
"count = sum((i for i in int_list if isinstance(i, (int, float))))",
"from functools import reduce\nreduce(lambda x, y: x + y, int_list)",
"import numpy as np\nnp.array(int_list).sum()",
"count = sum(filter(lambda x: isinstance(x, (int, float)), int_list))",
"try:\n count = sum((i for i in int_list if isinstance(i, (int, float))))\nexcept TypeError:\n count = 'Invalid values in list'",
"import numpy as np\ncount = np.sum(np.add.reduce(int_list))",
"from operator import add\nfrom itertools import accumulate\ncount = list(accumulate(int_list, add))[-1]",
"from collections import Iterable\ndef flatten(items):\n \"\"\"Yield items from any nested iterable\"\"\"\n for x in items:\n if isinstance(x, Iterable):\n for sub_x in flatten(x):\n yield sub_x\ncount = sum((i for i in flatten(int_list)))",
"import numpy as np\ncount = np.sum(np.hstack(int_list))",
"count = sum([num for num in int_list if num])",
"partitioned_ints = iter(int_list)\naccumulator = next(partitioned_ints)\nfor v in partitioned_ints:\n accumulator += v\ncount = accumulator",
"count = 0\nintermediate_sum = int_list[0]\nfor idx in range(1, len(int_list)):\n intermediate_sum += int_list[idx]\n count += intermediate_sum\ncount = count // len(int_list)",
"import numpy as np\ncount = np.asarray(int_list).sum()",
"import numpy as np\ncount = np.sum(np.array(int_list))",
"from itertools import accumulate\ncount = 0\ncount = list(accumulate(int_list))[-1]",
"count = int_list[0]\nfor i in range(1, len(int_list)):\n count += int_list[i]",
"count = int_list[0] + sum(int_list[1:]) if len(int_list) > 1 else int_list[0] if len(int_list) == 1 else 0",
"from itertools import accumulate\nlist_sum = list(accumulate(int_list))\ncount = list_sum[len(list_sum) - 1]",
"count = 0\nfor i in int_list:\n if isinstance(i, (int, float)):\n count += i",
"import functools\nis_numeric = lambda x: isinstance(x, (int, float))\ncount = functools.reduce(lambda x, y: x + y if is_numeric(y) else x, int_list, 0)",
"import functools\nreduce = functools.reduce\ncount = reduce(lambda sum, elem: sum + elem if isinstance(elem, (int, float)) else sum, int_list, 0)",
"count = 0\nfor i in int_list:\n try:\n value = float(i)\n count += value\n except ValueError:\n pass",
"count = 0\nfor i in int_list:\n value = float(i) if isinstance(i, (int, float)) else 0\n count += value",
"count = len(int_list)\ncount *= int_list[0] if count > 0 else 0",
"from functools import reduce\ncount = reduce(lambda total, element: total + element, int_list)",
"import functools\nfunc = lambda a, b: a + b\ncount = functools.reduce(func, int_list)",
"import functools\nfunctools.reduce(lambda a, b: a + b, int_list)",
"count = 0\nfor i in int_list:\n count = count.__add__(i)",
"mean_val = 0\ncount = 0\nif int_list:\n for i in int_list:\n mean_val += i\n mean_val /= len(int_list)\n count = mean_val * len(int_list)",
"mean_val = sum(int_list) / len(int_list) if int_list else 0\ncount = mean_val * (len(int_list) if int_list else 0)",
"mean_val = sum(int_list) / len(int_list) if int_list else 0\ncount = mean_val * len(int_list) if int_list else 0",
"mean_val = 0\ncount = 0\nif int_list:\n mean_val = sum(int_list) / len(int_list)\n count = mean_val * len(int_list)",
"count = sum([i for i in int_list if isinstance(i, (int, float))])",
"from functools import reduce\nreduce(lambda a, b: a + b, int_list)",
"import functools\nimport operator\nfiltered_list = filter(lambda i: isinstance(i, (int, float)), int_list)\ncount = functools.reduce(operator.add, filtered_list)",
"count = 0\nfor i in int_list:\n if type(i) in [int, float]:\n count += i",
"count = sum(filter(lambda i: isinstance(i, (int, float)), int_list))",
"import functools\ncount = functools.reduce(lambda x, y: x + y if isinstance(y, (int, float)) else x, int_list, 0)",
"count = 0\nfor i in int_list:\n try:\n count += i\n except TypeError:\n continue",
"count = 0\nindex = 0\nwhile index < len(int_list):\n if isinstance(int_list[index], (int, float)):\n count += int_list[index]\n index += 1",
"temp_list = [i for i in int_list if isinstance(i, (int, float))]\ncount = sum(temp_list)",
"import numpy as np\nint_list = np.array(int_list)\ncount = np.sum(int_list[np.vectorize(lambda x: isinstance(x, (int, float)))(int_list)])",
"from functools import reduce\ncount = reduce(lambda x, y: x + y if isinstance(y, (int, float)) else x, int_list, 0)",
"import functools\nint_float_list = list(filter(lambda i: isinstance(i, (int, float)), int_list))\ncount = functools.reduce(lambda a, b: a + b, int_float_list)",
"import numpy as np\nint_float_list = list(filter(lambda i: isinstance(i, (int, float)), int_list))\ncount = np.sum(int_float_list)",
"import numpy as np\ncount = np.sum([i for i in int_list if isinstance(i, (int, float))])",
"from functools import reduce\nfrom operator import add\ncount = reduce(add, (i for i in int_list if isinstance(i, (int, float))))",
"from itertools import accumulate\nfiltered_list = [i for i in int_list if isinstance(i, (int, float))]\ncount = list(accumulate(filtered_list))[-1]",
"import numpy as np\nfiltered_list = [i for i in int_list if isinstance(i, (int, float))]\ncount = np.sum(filtered_list)",
"import numpy as np\nint_list_np = np.array(int_list)\ncount = np.sum(int_list_np.astype(float))",
"count = 0\nfor value in int_list:\n try:\n count += float(value)\n except ValueError:\n pass",
"import numpy as np\nint_list_np = np.array(int_list)\ncount = np.sum(int_list_np[~np.isnan(int_list_np.astype(float))])",
"import numpy as np\ncount = np.sum(np.array([i for i in int_list if isinstance(i, (int, float))]))",
"from functools import reduce\ncount = reduce(lambda a, b: a + b if isinstance(b, (int, float)) else a, int_list, 0)",
"count = 0\nfor i in range(len(int_list)):\n if isinstance(int_list[i], (int, float)):\n count += int_list[i]",
"import numpy as np\ncount = np.sum(np.array(int_list, dtype=np.float64))",
"import itertools\ncount = sum(itertools.filterfalse(lambda x: not isinstance(x, (int, float)), int_list))",
"count = 0\nfor i in range(len(int_list)):\n try:\n count += int_list[i]\n except TypeError:\n continue",
"count = 0\nfor (index, value) in enumerate(int_list):\n try:\n count += value\n except TypeError:\n continue",
"import functools\ncount = functools.reduce(lambda a, b: a + b if isinstance(b, (int, float)) else a, int_list, 0)",
"import functools\nimport operator\nint_float_list = list(filter(lambda x: isinstance(x, (int, float)), int_list))\ncount = functools.reduce(operator.add, int_float_list, 0)",
"import functools\ndef add_if_number(x, y):\n if isinstance(y, (int, float)):\n return x + y\n else:\n return x\ncount = functools.reduce(add_if_number, int_list, 0)",
"import numpy as np\ndef add_if_number(x, y):\n if isinstance(y, (int, float)):\n return x + y\n else:\n return x\ncount = np.sum([add_if_number(0, i) for i in int_list])",
"count = 0\nindex = 0\ntry:\n while True:\n if isinstance(int_list[index], (int, float)):\n count += int_list[index]\n index += 1\nexcept IndexError:\n pass",
"count = 0\nfor (index, value) in enumerate(int_list):\n if isinstance(value, (int, float)):\n count += value",
"import numpy as np\ntemp_list = np.array(int_list, dtype='float64')\ncount = np.sum(temp_list)",
"temp_list = list(filter(lambda i: isinstance(i, (int, float)), int_list))\ncount = sum(temp_list)",
"from functools import reduce\ntemp_list = [i for i in int_list if isinstance(i, (int, float))]\ncount = reduce(lambda x, y: x + y, temp_list)",
"from itertools import accumulate\nimport operator\ncount = list(accumulate(int_list, operator.add))[-1]",
"count = int_list[0] + sum(int_list[1:]) if int_list else 0",
"import numpy as np\nint_list = np.array(int_list)\ncount = np.sum(np.where(np.vectorize(lambda x: isinstance(x, (int, float)))(int_list), int_list, 0))",
"from functools import reduce\nint_list = list(filter(lambda x: isinstance(x, (int, float)), int_list))\ncount = reduce(lambda x, y: x + y, int_list)",
"import functools\nimport operator\nfiltered_list = filter(lambda i: isinstance(i, (int, float)), int_list)\ncount = functools.reduce(operator.add, filtered_list, 0)",
"import numpy as np\nfiltered_array = np.array([i for i in int_list if isinstance(i, (int, float))])\ncount = np.sum(filtered_array)",
"count = 0\nfor i in int_list:\n if type(i) in (int, float):\n count += i",
"count = sum(map(lambda x: x if isinstance(x, (int, float)) else 0, int_list))",
"from functools import reduce\nimport operator\ncount = reduce(operator.add, (i for i in int_list if isinstance(i, (int, float))))",
"count = 0\nfor i in int_list:\n count = count + i if isinstance(i, (int, float)) else count",
"import numpy as np\ncount = np.sum(np.array(int_list, dtype='float'))",
"count = 0\nfor i in int_list:\n count += i if isinstance(i, (int, float)) else 0",
"import functools\nint_float_list = [i for i in int_list if isinstance(i, (int, float))]\ncount = functools.reduce(lambda a, b: a + b, int_float_list)",
"import operator\nimport functools\nint_float_list = list(filter(lambda i: isinstance(i, (int, float)), int_list))\ncount = functools.reduce(operator.add, int_float_list)",
"import numpy as np\nfrom itertools import filterfalse\ncount = np.sum(list(filterfalse(lambda x: not isinstance(x, (int, float)), int_list)))",
"import numpy as np\nint_float_list = list(filter(lambda i: type(i) in [int, float], int_list))\ncount = np.sum(int_float_list)",
"import itertools\ncount = sum(itertools.chain.from_iterable([[i] if isinstance(i, (int, float)) else [] for i in int_list]))",
"import numpy as np\ncount = np.sum(list(filter(lambda x: isinstance(x, (int, float)), int_list)))",
"from functools import reduce\ncount = reduce(lambda x, y: x + y, [i for i in int_list if isinstance(i, (int, float))])",
"from math import fsum\ncount = fsum((i for i in int_list if isinstance(i, (int, float))))",
"import functools\nimport operator\nfunc = operator.add\ncount = functools.reduce(func, int_list)",
"count = sum(list(map(int, int_list)))",
"count = 0\ni = 0\ntry:\n while True:\n count += int_list[i]\n i += 1\nexcept:\n pass",
"import numpy as np\ncount = np.add.reduce(np.array(int_list))",
"import functools\nimport operator\ncount = functools.reduce(operator.add, list(map(int, int_list)))",
"count = sum([int(i) for i in int_list])",
"import numpy as np\nint_arr = np.array(int_list, dtype=int)\ncount = np.sum(int_arr)",
"import numpy as np\ncount = int(np.sum(np.array(int_list)))",
"from functools import reduce\ncount = reduce(lambda x, y: x + int(y), int_list, 0)",
"count = 0\n[(count := (count + int(i))) for i in int_list]\ncount = count",
"import numpy as np\nsum_value = np.sum(int_list)\ncount = int(sum_value)",
"import math\nimport numpy as np\nsq_root = np.sqrt(int_list)\ncount = np.square(np.sum(sq_root))",
"import math\nimport numpy as np\nsq_root = np.sqrt(int_list)\ncount = np.sum(sq_root) ** 2",
"import numpy as np\ncount = np.sum(np.unique(int_list))",
"import numpy as np\nint_list_set = np.array(list(set(int_list)))\ncount = np.sum(int_list_set)",
"from numpy import sum as np_sum\ncount = np_sum(int_list)",
"import operator\nimport functools\nfunctools.reduce(operator.add, int_list)",
"from functools import reduce\ncount = reduce(lambda acc, val: acc + (val if isinstance(val, (int, float)) else 0), int_list, 0)",
"import functools\nfrom operator import add\ncount = functools.reduce(add, filter(lambda x: isinstance(x, (int, float)), int_list), 0)"
]