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correct.json
31 lines (31 loc) · 2.1 KB
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correct.json
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[
"mean = sum(arr1) / len(arr1)",
"mean = 0\nfor value in arr1:\n mean += value\nmean /= len(arr1)",
"def mean(arr):\n return sum(arr) / len(arr)\nmean = mean(arr1)",
"from functools import reduce\nmean = reduce(lambda x, y: x + y, arr1) / len(arr1)",
"from statistics import mean\nmean = mean(arr1)",
"from functools import reduce\nmean = reduce(lambda a, b: a + b, arr1) / len(arr1)",
"import math\nmean = math.fsum(arr1) / len(arr1)",
"def get_mean(arr1):\n return sum(arr1) / len(arr1)\nmean = get_mean(arr1)",
"total = 0\nfor number in arr1:\n total += number\nmean = total / len(arr1)",
"sum1 = sum(arr1)\nlen1 = len(arr1)\nmean = sum1 / len1",
"mean = sum((a for a in arr1)) / len(arr1)",
"total = sum(arr1)\nmean = total / len(arr1)",
"def get_mean(arr):\n mean = sum(arr1) / len(arr1)\n return mean\nmean = get_mean(arr1)",
"def mean(array):\n res = 0\n for i in range(len(array)):\n res += array[i]\n return res / len(array)\nmean = mean(arr1)",
"import functools\nmean = functools.reduce(lambda a, x: a + x, arr1) / len(arr1)",
"s = 0\nfor i in range(len(arr1)):\n s += arr1[i]\nmean = s / len(arr1)",
"import functools\nmean = functools.reduce(lambda x, y: x + y, arr1) / len(arr1)",
"arr1_sum = 0\nfor (index, value) in enumerate(arr1):\n arr1_sum += value\ncount = len(arr1)\nmean = arr1_sum / count",
"mean = sum(arr1) / float(len(arr1))",
"mean = float(sum(arr1)) / len(arr1)",
"sum = 0\nfor (key, value) in enumerate(arr1):\n sum += value\nmean = sum / len(arr1)",
"n = len(arr1)\nmean = sum(arr1) / n",
"mean = (sum(arr1[0:len(arr1) // 2]) + sum(arr1[len(arr1) // 2:])) / len(arr1)",
"mean = sum(arr1) / len(arr1) if len(arr1) > 0 else np.nan",
"def mean(arr):\n count = 0\n for value in arr:\n count += value\n return count / len(arr)\nmean = mean(arr1)",
"mean = sum(arr1) / (len(arr1) - 0.0)",
"arr = [i for i in arr1]\nmean = sum(arr) / len(arr)",
"import functools\nsum1 = 0\nfor i in arr1:\n sum1 = sum1 + i\nmean = sum1 / len(arr1)",
"import functools\ndef f(x, y):\n return x + y\nmean = functools.reduce(f, arr1, 0) / len(arr1)"
]