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type-error.json
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type-error.json
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[
"import numpy as np\nmean = np.mean(arr1)",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 0",
"mean = sum((arr1[i] for i in range(len(arr1)))) / float(len(arr1)) if len(arr1) > 0 else 0",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0",
"mean = sum(arr1) / len(arr1) if len(arr1) else 0",
"mean = sum(arr1, 0.0) / len(arr1) if len(arr1) else 0",
"mean = sum(arr1) / len(arr1) if arr1 else 0",
"mean = sum(arr1) / len(arr1) if arr1 is not None else 0",
"mean = sum(arr1) / (len(arr1) or 1)",
"mean = sum(arr1) / max(len(arr1), 1)",
"mean = sum(arr1) / (len(arr1) if len(arr1) > 0 else 1)",
"mean = sum(arr1) / (len(arr1) if len(arr1) != 0 else 1)",
"mean = sum(arr1) / (len(arr1) or 1) if len(arr1) > 0 else 0",
"mean = sum(arr1) / (len(arr1) or 1) if len(arr1) != 0 else 0",
"mean = sum(arr1) / max(len(arr1), 1) if len(arr1) > 0 else 0",
"mean = sum(arr1) / max(len(arr1), 1) if len(arr1) != 0 else 0",
"mean = sum(arr1) / len(arr1) if bool(arr1) else 0",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 0.0",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else float('nan')",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else float('inf')",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else float('-inf')",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else None",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else ''",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 'no data'",
"mean = sum(arr1) / (len(arr1) if arr1 else 1)",
"mean = sum(arr1) / max(1, len(arr1))",
"mean = np.sum(arr1) / len(arr1) if len(arr1) != 0 else 0",
"mean = statistics.mean(arr1) if len(arr1) != 0 else 0",
"mean = np.sum(arr1) / len(arr1) if len(arr1) != 0 else None",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else None",
"mean = statistics.mean(arr1) if len(arr1) != 0 else None",
"mean = statistics.mean(arr1) if arr1 else 0",
"mean = sum(arr1) / len(arr1) if arr1 else None",
"mean = statistics.mean(arr1) if arr1 else None",
"mean = np.sum(arr1) / len(arr1) if len(arr1) > 0 else 0",
"mean = statistics.mean(arr1) if len(arr1) > 0 else 0",
"mean = np.sum(arr1) / len(arr1) if len(arr1) > 0 else None",
"mean = statistics.mean(arr1) if len(arr1) > 0 else None",
"mean = sum(arr1) / (len(arr1) + 0.0) if len(arr1) > 0 else 0",
"mean = sum(arr1) / (len(arr1) + 0.0) if len(arr1) != 0 else 0",
"mean = sum(arr1) / float(len(arr1)) if len(arr1) > 0 else 0",
"mean = sum(arr1) / float(len(arr1)) if len(arr1) != 0 else 0",
"mean = sum(arr1) / float(len(arr1) or 1)",
"mean = sum(arr1) / float(len(arr1) or 1) if len(arr1) > 0 else 0",
"mean = sum(arr1) / float(len(arr1) or 1) if len(arr1) != 0 else 0",
"from functools import reduce\nmean = reduce(lambda x, y: x + y, arr1) / len(arr1) if len(arr1) > 0 else None",
"mean = sum([i for i in arr1]) / len(arr1) if len(arr1) > 0 else None",
"mean = sum(arr1) / float(len(arr1)) if len(arr1) > 0 else None",
"mean = sum(arr1) // len(arr1) if len(arr1) > 0 else None",
"mean = float(sum(arr1)) / len(arr1) if len(arr1) > 0 else 0",
"mean = sum([arr1[i] for i in range(len(arr1))]) / len(arr1) if len(arr1) > 0 else 0",
"mean = sum((arr1[i] for i in range(len(arr1)))) / len(arr1) if len(arr1) > 0 else 0",
"import numpy as np\nmean = np.mean(arr1, dtype=np.float64)",
"mean = 0\nif len(arr1) > 0:\n mean = sum(arr1) / float(len(arr1))",
"mean = 0\nif len(arr1) != 0:\n mean = sum(arr1) / len(arr1)",
"import numpy as np\nmean = np.sum(arr1) / float(np.size(arr1))",
"mean = 0\nif len(arr1) != 0:\n mean = sum(arr1) / len(arr1)\nelse:\n mean = 0",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0\nmean = round(mean, 2)",
"mean = 0\nif len(arr1) != 0:\n mean = sum(arr1) / len(arr1)\n mean = round(mean, 2)",
"import numpy as np\nmean = np.mean(arr1) if len(arr1) != 0 else 0\nmean = round(mean, 2)",
"mean = 0\nif len(arr1):\n mean = sum(arr1) / len(arr1)",
"mean = 0\nif len(arr1):\n mean = sum(arr1) / len(arr1)\nelse:\n mean = 0",
"import math\nmean = sum(arr1) / len(arr1) if len(arr1) else 0\nmean = math.ceil(mean)",
"mean = 0\nif len(arr1) != 0:\n total = 0\n for num in arr1:\n total += num\n mean = total / len(arr1)",
"mean = sum(arr1, 0.0) / len(arr1) if arr1 else 0",
"mean = sum(arr1, 0.0) / len(arr1) if len(arr1) > 0 else 0",
"mean = sum(arr1, 0.0) / len(arr1) if len(arr1) != 0 else 0",
"mean = 0 if len(arr1) == 0 else sum(arr1) / len(arr1)",
"mean = 0 if len(arr1) == 0 else sum(arr1, 0.0) / len(arr1)",
"mean = 0 if arr1 == [] else sum(arr1) / len(arr1)",
"mean = 0 if arr1 == [] else sum(arr1, 0.0) / len(arr1)",
"mean = None if len(arr1) == 0 else sum(arr1) / len(arr1)",
"mean = sum((value for value in arr1)) / len(arr1) if len(arr1) != 0 else None",
"mean = sum((value for value in arr1)) / len(arr1) if arr1 else None",
"mean = 0\nlength = 0\nfor value in arr1:\n mean += value\n length += 1\nif length != 0:\n mean /= length",
"mean = sum([value for (index, value) in enumerate(arr1)]) / len(arr1) if len(arr1) != 0 else None",
"mean = sum([value for (index, value) in enumerate(arr1)]) / len(arr1) if arr1 else None",
"import numpy as np\narr = np.array(arr1)\nmean = np.mean(arr)",
"import numpy as np\ncount = np.sum(arr1)\nmean = count / len(arr1)",
"import math\nmean = math.fsum(arr1) / len(arr1) if len(arr1) > 0 else 0",
"import functools\nmean = functools.reduce(lambda x, y: x + y, arr1) / len(arr1) if len(arr1) > 0 else 0",
"sum = 0\nfor num in arr1:\n sum += num\nmean = sum / len(arr1) if len(arr1) > 0 else 0",
"mean = 0 if not arr1 else sum(arr1) / len(arr1)",
"mean = 0\nif arr1:\n mean = sum(arr1) / len(arr1)",
"mean = float('nan')\nif len(arr1) > 0:\n mean = sum(arr1) / len(arr1)",
"count = 0\nfor num in arr1:\n count += num\nmean = count / len(arr1) if len(arr1) > 0 else None",
"import math\nsum = 0\ncount = 0\nfor num in arr1:\n sum += num\n count += 1\nmean = sum / count if count > 0 else None",
"mean = None\nif len(arr1) == 0:\n mean = None\nelse:\n mean = sum(arr1) / len(arr1)",
"mean = None\nif arr1:\n mean = sum(arr1) / len(arr1)",
"import numpy as np\ncount = len(arr1)\nmean = np.mean(arr1)",
"mean = sum(arr1) / (len(arr1) + 1) if len(arr1) > 0 else 0",
"sum_of_elements = sum(arr1)\nmean = sum_of_elements / len(arr1) if len(arr1) != 0 else None",
"import numpy as np\narr1_np = np.array(arr1)\nmean = np.mean(arr1_np) if len(arr1_np) != 0 else None",
"mean = 0\nfor value in arr1:\n mean += value\nmean /= len(arr1) if len(arr1) != 0 else 1",
"total = 0\nfor value in arr1:\n total += value\nmean = total / (len(arr1) if len(arr1) != 0 else 1)",
"mean = 0\ntry:\n mean = sum(arr1) / len(arr1)\nexcept ZeroDivisionError:\n mean = None",
"mean = None\nif arr1:\n sum_of_elements = 0\n length = len(arr1)\n for element in arr1:\n sum_of_elements += element\n mean = sum_of_elements / length",
"if arr1:\n mean = sum(arr1) / len(arr1)\nelse:\n mean = None",
"arr_not_empty = True if arr1 else False\nif arr_not_empty:\n mean = sum(arr1) / len(arr1)\nelse:\n mean = None",
"mean = float(sum(arr1)) / len(arr1) if len(arr1) != 0 else None",
"mean = sum([value for value in arr1]) / len(arr1) if len(arr1) != 0 else None",
"from statistics import mean as st_mean\nmean = st_mean(arr1) if len(arr1) != 0 else None",
"total = 0\nfor value in arr1:\n total += value\nmean = total / len(arr1) if len(arr1) != 0 else None",
"from statistics import mean\nmean = mean(arr1) if len(arr1) != 0 else None",
"mean = 0\nif arr1:\n total = sum(arr1)\n mean = total / len(arr1)",
"mean = sum(arr1) / length if (length := len(arr1)) != 0 else 0",
"mean = sum(arr1) / len(arr1) if len(arr1) else None",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else float('nan')",
"mean = sum(arr1) / len(arr1) if len(arr1) else float('nan')",
"mean = sum(arr1) / len(arr1) if arr1 and len(arr1) > 0 else 0",
"mean = sum(arr1) / len(arr1) if arr1 is not None and len(arr1) > 0 else 0",
"mean = sum(arr1) / len(arr1) if arr1 is not None and len(arr1) > 0 else None",
"mean = sum(arr1) / len(arr1) if arr1 is not None and len(arr1) > 0 else float('nan')",
"mean = 0\nif len(arr1) > 0:\n mean = sum(arr1) / len(arr1)",
"mean = 0\nif len(arr1) > 0:\n total = sum(arr1)\n mean = total / len(arr1)",
"mean = 0\nif len(arr1) > 0:\n total = sum(arr1)\n count = len(arr1)\n mean = total / count",
"mean = 0\nif len(arr1) > 0:\n total = sum(arr1)\n count = len(arr1)\n if count > 0:\n mean = total / count",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and len(arr1) != 0 else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is True else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (len(arr1) != 0) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and bool(len(arr1)) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is True) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (len(arr1) != 0) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and bool(len(arr1)) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (bool(len(arr1)) is True) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and (len(arr1) != 0) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and bool(len(arr1)) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and (bool(len(arr1)) is True) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and (len(arr1) != 0) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and bool(len(arr1)) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and (bool(len(arr1)) is True) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 is not None and bool(arr1) is not False and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) and (bool(len(arr1)) is not False) else 1)",
"mean = sum([x for x in arr1]) / len(arr1) if len(arr1) > 0 else 0",
"mean = sum([x for x in arr1]) / len(arr1) if arr1 else 0",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else -1",
"mean = sum(arr1) / len(arr1) if arr1 != [] else 0",
"mean = sum(arr1) / len(arr1) if arr1 != [] else None",
"mean = sum(arr1) / len(arr1) if arr1 else float('nan')",
"mean = sum(arr1) / len(arr1) if arr1 != [] else float('nan')",
"mean = sum(arr1) / len(arr1) if arr1 else 0.0",
"mean = sum(arr1) / len(arr1) if arr1 != [] else 0.0",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0.0",
"import numpy as np\nmean = np.mean(arr1, axis=0)",
"import numpy as np\nmean = np.mean(arr1, axis=None)",
"mean = sum(arr1) / len(arr1) if arr1 is not None and len(arr1) != 0 else 0",
"mean = 0\nif len(arr1) > 0:\n total = 0\n for x in arr1:\n total += x\n mean = total / len(arr1)",
"mean = sum([x for x in arr1]) / len(arr1) if bool(arr1) else 0",
"mean = sum((x for x in arr1)) / len(arr1) if len(arr1) > 0 else 0",
"mean = sum((x for x in arr1)) / len(arr1) if arr1 else 0",
"mean = sum((x for x in arr1)) / len(arr1) if bool(arr1) else 0",
"mean = sum(arr1) / len(arr1) if bool(arr1) != False else 0",
"mean = sum((x for x in arr1)) / len(arr1) if len(arr1) != 0 else 0",
"mean = sum((x for x in arr1)) / len(arr1) if arr1 != [] else 0",
"mean = sum((x for x in arr1)) / len(arr1) if bool(arr1) != False else 0",
"mean = sum((x for x in arr1)) / len(arr1) if len(arr1) else 0",
"mean = sum(arr1) / (len(arr1) if bool(arr1) else 1)",
"mean = sum((x for x in arr1)) / (len(arr1) if len(arr1) > 0 else 1)",
"mean = sum((x for x in arr1)) / (len(arr1) if arr1 else 1)",
"mean = sum((x for x in arr1)) / (len(arr1) if bool(arr1) else 1)",
"mean = sum(arr1) / (len(arr1) if arr1 != [] else 1)",
"mean = sum(arr1) / (len(arr1) if bool(arr1) != False else 1)",
"mean = sum((x for x in arr1)) / (len(arr1) if len(arr1) != 0 else 1)",
"mean = sum((x for x in arr1)) / (len(arr1) if arr1 != [] else 1)",
"mean = sum((x for x in arr1)) / (len(arr1) if bool(arr1) != False else 1)",
"mean = sum((x for x in arr1)) / (len(arr1) if len(arr1) else 1)",
"mean = sum(arr1) / (len(arr1) if isinstance(arr1, (list, tuple, set, np.ndarray)) and len(arr1) > 0 else 1) if arr1 is not None else 0",
"mean = sum(arr1) / (len(arr1) if isinstance(arr1, (list, tuple, set, np.ndarray)) and len(arr1) > 0 else 1) if arr1 is not None else 0.0",
"mean = sum(arr1) / (len(arr1) if isinstance(arr1, (list, tuple, set, np.ndarray)) and len(arr1) > 0 else 1) if arr1 is not None else float('nan')",
"mean = sum(arr1) / (len(arr1) or 1) if len(arr1) > 0 else None",
"mean = sum(arr1) / (len(arr1) or 1) if len(arr1) != 0 else None",
"mean = sum(arr1) / (len(arr1) or 1) if len(arr1) else None",
"mean = sum(arr1) / (len(arr1) or 1) if len(arr1) else 0",
"mean = sum(arr1) / (len(arr1) or 0) if len(arr1) > 0 else None",
"mean = sum(arr1) / (len(arr1) or 0) if len(arr1) != 0 else None",
"mean = sum(arr1) / (len(arr1) or 0) if len(arr1) else None",
"mean = sum(arr1) / (len(arr1) or 0) if len(arr1) > 0 else 0",
"mean = sum(arr1) / (len(arr1) or 0) if len(arr1) != 0 else 0",
"mean = sum(arr1) / (len(arr1) or 0) if len(arr1) else 0",
"mean = sum(arr1) / (len(arr1) or None) if len(arr1) > 0 else 0",
"mean = sum(arr1) / (len(arr1) or None) if len(arr1) != 0 else 0",
"mean = sum(arr1) / (len(arr1) or None) if len(arr1) else 0",
"mean = sum(arr1) / (len(arr1) or None) if len(arr1) > 0 else None",
"mean = sum(arr1) / (len(arr1) or None) if len(arr1) != 0 else None",
"mean = sum(arr1) / (len(arr1) or None) if len(arr1) else None",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else float('inf')",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else float('-inf')",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 0.0 if len(arr1) != 0 else None",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0.0 if len(arr1) > 0 else None",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 0.0 if len(arr1) != 0 else float('nan')",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0.0 if len(arr1) > 0 else float('nan')",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 0.0 if len(arr1) != 0 else float('inf')",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0.0 if len(arr1) > 0 else float('inf')",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 0.0 if len(arr1) != 0 else float('-inf')",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0.0 if len(arr1) > 0 else float('-inf')",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 0.0 if len(arr1) != 0 else None if len(arr1) > 0 else float('nan')",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0.0 if len(arr1) > 0 else None if len(arr1) > 0 else float('nan')",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 0.0 if len(arr1) != 0 else float('nan') if len(arr1) > 0 else None",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0.0 if len(arr1) > 0 else float('nan') if len(arr1) > 0 else None",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 0.0 if len(arr1) != 0 else float('inf') if len(arr1) > 0 else None",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0.0 if len(arr1) > 0 else float('inf') if len(arr1) > 0 else None",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else 0.0 if len(arr1) != 0 else float('-inf') if len(arr1) > 0 else None",
"mean = sum(arr1) / len(arr1) if len(arr1) != 0 else 0.0 if len(arr1) > 0 else float('-inf') if len(arr1) > 0 else None",
"mean = sum(arr1) / len(arr1) if arr1 else 1",
"mean = sum(arr1) / len(arr1) if arr1 is not None else 1",
"mean = sum(arr1) / (len(arr1) if arr1 is not None else 1) if arr1 else 1",
"mean = sum(arr1) / (len(arr1) if arr1 is not None else 1) if arr1 is not None else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1",
"mean = sum(arr1) / (len(arr1) if arr1 else 1) if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 is not None else 1 if arr1 else 1",
"mean = 0\ncount = 0\nfor num in arr1:\n count += num\n mean = count / len(arr1)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.round(mean, 2)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.ceil(mean)",
"mean = float(sum(arr1)) / max(len(arr1), 1)",
"import numpy as np\nmean = np.round(np.mean(arr1), 2)",
"import numpy as np\nmean = np.ceil(np.mean(arr1))",
"import numpy as np\nmean = np.mean(arr1)\nmean = int(mean) + 1",
"import numpy as np\nmean = np.mean(arr1)\nmean = round(mean + 0.5)",
"mean = 0\ncount = 0\nfor num in arr1:\n count += num\nmean = count / len(arr1) if len(arr1) > 0 else 0",
"mean = 0\nfor i in range(len(arr1)):\n mean += arr1[i]\nmean = mean / len(arr1) if len(arr1) > 0 else 0",
"mean = sum(arr1) / len(arr1) if bool(len(arr1)) else 0",
"total_sum = sum(arr1)\nlength = max(len(arr1), 1)\nmean = float(total_sum) / length",
"total_sum = 0\ncount = 0\nfor num in arr1:\n total_sum += num\n count += 1\nmean = float(total_sum) / max(count, 1)",
"from statistics import mean\nmean = mean(arr1) if arr1 else 0.0",
"import numpy as np\nmean = np.mean(arr1)\nmean = int(mean)",
"import numpy as np\nmean = np.mean(arr1)\nmean = int(round(mean))",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.floor(mean)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.trunc(mean)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.around(mean, decimals=2)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.sqrt(mean)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.log(mean)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.exp(mean)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.abs(mean)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.sin(mean)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.cos(mean)",
"import numpy as np\nmean = np.mean(arr1)\nmean = np.tan(mean)",
"import statistics\nmean = statistics.median(arr1)"
]