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correct.json
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correct.json
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[
"cum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[:i + 1]))",
"cum_arr = []\nsum = 0\nfor i in range(len(array)):\n sum += array[i]\n cum_arr.append(sum)",
"cum_arr = []\nsum = 0\nfor i in array:\n sum += i\n cum_arr.append(sum)",
"cum_arr = [sum(array[:i + 1]) for i in range(len(array))]",
"import math\ncum_arr = [sum(array[0:i + 1]) for i in range(len(array))]",
"cum_arr = []\nfor i in range(len(array)):\n temp_sum = sum(array[:i + 1])\n cum_arr.append(temp_sum)",
"cum_arr = []\nfor (i, value) in enumerate(array):\n cum_arr.append(sum(array[:i + 1]))",
"sum = 0\ncum_arr = []\nfor num in array:\n sum += num\n cum_arr.append(sum)",
"cum_arr = []\nsum = 0\nfor num in array:\n sum += num\n cum_arr.append(sum)\ncum_arr = [cum_arr[i] for i in range(len(cum_arr))]",
"cum_arr = []\nsum = 0\nfor i in range(1, len(array) + 1):\n sum += array[i - 1]\n cum_arr.append(sum)",
"from functools import reduce\ncum_arr = reduce(lambda x, y: x + [x[-1] + y], array, [0])[1:]",
"import statistics\ncum_arr = []\nsum = 0\nfor i in array:\n sum += i\n cum_arr.append(statistics.median_high([sum]))",
"import numpy as np\nimport functools\ncum_arr = functools.reduce(lambda x, y: x + [x[-1] + y], array, [0])[1:]",
"cum_arr = []\nsum_val = 0\nfor (i, val) in enumerate(array):\n sum_val += val\n cum_arr.append(sum_val)",
"import itertools\ncum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[0:i + 1]))",
"import functools\ncum_sum = functools.reduce(lambda x, y: x + [x[-1] + y], array, [0])[1:]\ncum_arr = cum_sum",
"import functools\ncum_arr = list(functools.reduce(lambda x, y: x + [x[-1] + y], array, [0])[1:])",
"import functools\ncum_arr = functools.reduce(lambda a, b: a + [b + a[-1]], array, [0])[1:]",
"cum_arr = []\nfor i in range(len(array)):\n cum_sum = sum(array[0:i + 1])\n cum_arr.append(cum_sum)",
"cum_arr = []\nsum = 0\nfor (i, value) in enumerate(array):\n sum += array[i]\n cum_arr.append(sum)",
"import functools\ncum_arr = functools.reduce(lambda a, x: a + [x + a[-1]], array, [0])[1:]",
"temp = []\ncount = 0\nfor i in range(len(array)):\n count += array[i]\n temp.append(count)\ncum_arr = temp",
"cum_arr = [sum(array[:i + 1]) for i in range(len(array))] if len(array) > 0 else []",
"import numpy as np\ncum_arr = np.zeros(len(array))\nsum = 0\nfor i in range(len(array)):\n sum += array[i]\n cum_arr[i] = sum\ncum_arr = cum_arr.tolist()",
"import numpy as np\ncum_arr = np.zeros(len(array))\nsum = 0\nfor (i, val) in enumerate(array):\n sum += val\n cum_arr[i] = sum\ncum_arr = cum_arr.tolist()",
"import numpy as np\ncum_arr = np.zeros(len(array))\nsum = 0\nfor i in range(len(array)):\n sum += array[i]\n cum_arr[i] = sum\ncum_arr = list(cum_arr)",
"import numpy as np\ncum_arr = np.zeros(len(array))\nsum = 0\nfor (i, val) in enumerate(array):\n sum += val\n cum_arr[i] = sum\ncum_arr = list(cum_arr)",
"import numpy as np\ncum_arr = np.zeros(len(array))\nsum = 0\nfor i in range(len(array)):\n sum += array[i]\n cum_arr[i] = sum\ncum_arr = [float(x) for x in cum_arr]",
"import numpy as np\ncum_arr = np.zeros(len(array))\nsum = 0\nfor (i, val) in enumerate(array):\n sum += val\n cum_arr[i] = sum\ncum_arr = [float(x) for x in cum_arr]",
"cum_arr = []\nsum = 0\nfor i in range(len(array)):\n sum += array[i]\n cum_arr.append(sum) if len(array) > 0 else []",
"import functools\ncum_arr = functools.reduce(lambda x, y: x + [x[-1] + y], array, [0])[1:] if len(array) > 0 else []",
"import math\ncum_arr = [math.fsum(array[:i + 1]) for i in range(len(array))]",
"cum_arr = [0] * len(array)\nfor i in range(len(array)):\n cum_arr[i] = sum(array[:i + 1])",
"import numpy as np\ncum_arr = np.array([sum(array[:i + 1]) for i in range(len(array))]).tolist()",
"import numpy as np\nsum_arr = np.array([sum(array[:i + 1]) for i in range(len(array))])\ncum_arr = sum_arr.tolist()",
"cum_arr = []\nsum = 0\nfor i in range(len(array)):\n sum += array[i]\n cum_arr.append(sum)\n cum_arr = cum_arr[:i + 1]",
"import itertools\ndef accumulate(iterable):\n total = 0\n for item in iterable:\n total += item\n yield total\ncum_arr = list(accumulate(array))",
"import statistics\ncum_arr = []\nsum = 0\nfor i in range(len(array)):\n sum += array[i]\n cum_arr.append(statistics.mean([sum]))",
"cum_arr = []\nsum = 0\nfor i in range(len(array)):\n sum = sum + array[i]\n cum_arr.append(sum)",
"import functools\ncum_arr = functools.reduce(lambda a, b: a + [a[-1] + b], array, [0])[1:]",
"import statistics\ncum_arr = []\nsum = 0\nfor (i, value) in enumerate(array):\n sum += value\n cum_arr.append(statistics.mean([sum]))",
"cum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[:i + 1]))\n cum_arr[i] = sum(array[:i + 1])",
"cum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[:i + 1]))\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])",
"cum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[:i + 1]))\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])",
"cum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[:i + 1]))\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])",
"cum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[:i + 1]))\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])",
"cum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[:i + 1]))\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])",
"cum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[:i + 1]))\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])",
"cum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[:i + 1]))\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])",
"cum_arr = []\nfor i in range(len(array)):\n cum_arr.append(sum(array[:i + 1]))\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])\n cum_arr[i] = sum(array[:i + 1])",
"arr = list(array)\ncum_arr = []\ncumulative_sum = 0\nfor i in range(len(arr)):\n cumulative_sum += arr[i]\n cum_arr.append(cumulative_sum)",
"count = 0\nnew_arr = []\nfor i in range(len(array)):\n count += array[i]\n new_arr.append(count)\ncum_arr = new_arr",
"count = 0\nnew_arr = []\nfor i in array:\n count += i\n new_arr.append(count)\ncum_arr = new_arr",
"cum_arr = [0]\nfor i in range(len(array)):\n cum_arr.append(cum_arr[i] + array[i])\ncum_arr = cum_arr[1:]",
"cum_arr = [0]\nindex = 0\nfor value in array:\n cum_arr.append(cum_arr[index] + value)\n index += 1\ncum_arr = cum_arr[1:]",
"import math\ncum_arr = [0]\nfor i in range(len(array)):\n cum_arr.append(cum_arr[-1] + array[i])\ncum_arr = cum_arr[1:]",
"import itertools\narray_length = len(array)\ncum_arr = [sum(array[:i + 1]) for i in range(array_length)]",
"array_length = len(array)\ncum_arr = []\nfor i in range(array_length):\n cum_arr.append(sum(array[:i + 1]))",
"array_length = len(array)\ncum_arr = []\nsum = 0\nfor i in range(array_length):\n sum += array[i]\n cum_arr.append(sum)",
"import statistics\narray_length = len(array)\ncum_arr = []\nsum = 0\nfor i in range(array_length):\n sum += array[i]\n cum_arr.append(statistics.median_low([sum]))",
"arr_sum = sum(array)\ncum_arr = [sum(array[:i + 1]) for i in range(len(array))]"
]