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syntax-error.json
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syntax-error.json
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[
"\n{'code': 'cum_arr = np.cumsum(array)', 'imports': ['numpy']}",
"\n{'code': 'def cumsum(array):\\n\\tcum_arr = [0]\\n\\tfor i in range(1, len(array)):\\n\\t\\tcum_arr.append(cum_arr[i-1] + array[i])\\n\\treturn cum_arr', 'imports': []}",
"\n{'code': 'import numpy as np\\ncum_arr = np.array(array).cumsum()', 'explanation': 'Using numpy to compute cumsum', 'level': 'expert'}",
"\n{'code': 'import numpy as np\\ncum_arr = list(np.cumsum(array))', 'explanation': 'Converting numpy array back to list', 'level': 'intermediate'}",
"\n{'code': 'def sum(arr): return sum(arr)\\ncum_arr = map(sum,zip(array,array[1:]))', 'explanation': 'Using list comprehension to compute the cumulative sum and converting back to list', 'level': 'beginner'}",
"\n{'code': 'import numpy as np\\ncum_arr = np.cumsum(array)'}",
"\n{'code': 'from operator import add\\ncum_arr = reduce(add, array)'}",
"\n{'code': 'cum_arr = 0\\nfor i in range(len(array)): cum_arr += array[i]'}",
"\n{'code': 'cum_arr = 0\\nfor value in array: cum_arr += value'}",
"\n{'code': 'cum_arr = []\\nfor i in range(len(array)):\\n cum_arr.append(sum(array[:i]))'}",
"\n{'code': 'cum_arr = [sum(array[:i]) for i in range(len(array))]'}",
"\n{'code': 'cum_arr = list(itertools.accumulate(array))', 'is_beginner': True}",
"\n{'code': 'cum_arr = [0] + [sum(array[:i + 1]) for i in range(len(array))]', 'is_intermediate': True}",
"\n{'code': 'cum_arr = np.cumsum(array)', 'is_expert': True}",
"\n{'code': 'cum_arr = [0] + array\\nfor i in range(len(array)): cum_arr[i + 1] = cum_arr[i] + array[i]', 'explanation': 'This is a beginner-friendly example that uses list comprehension to initialize cum_arr and a simple for loop to iterate over the array and update cum_arr.', 'level': 'beginner'}",
"\n{'code': 'cum_arr = numpy.append(array, [0], axis=0)\\ncum_arr[:-1] = cum_arr[1:]\\ncum_arr[-1] = cum_arr[-2] + array[-1]', 'explanation': \"This is an intermediate-level example that uses numpy's append() function to initialize cum_arr, and a list slicing operation to update the first len(array) - 1 elements of cum_arr.\", 'level': 'intermediate'}",
"\n{'code': '\\nimport numpy as np\\ncum_arr = np.cumsum(array)\\n', 'explanation': \"This is an expert-level example that uses numpy's cumsum() function to initialize cum_arr.\", 'level': 'expert'}",
"\n{'code': 'import numpy as np\\ncum_arr = np.cumsum(array)', 'import_libraries': ['numpy']}",
"\n{'code': 'cum_arr = []\\nfor i in range(len(array)):\\n cum_arr.append(cum_arr[-1] + array[i])', 'import_libraries': []}",
"\n{'code': 'cum_arr = array.cumsum()', 'import_libraries': ['numpy']}",
"\n{'code': 'cum_arr = [array[0]]\\nfor i in range(1, len(array)):\\n cum_arr.append(cum_arr[-1] + array[i])\\nprint(cum_arr)'}",
"\n{'code': 'import numpy as np\\ncount = np.cumsum(array)'}",
"\n{'code': 'for i in range(len(arr)): \\n if i == 0: \\n cum_arr.append(arr[0]) \\n else: \\n cum_arr.append(cum_arr[i - 1] + arr[i])'}",
"\n{'code': 'import functools \\ncum_arr = functools.reduce(lambda l1, l2: l1 + l2, array[1:])'}",
"\n{'code': 'import numpy as np\\ncum_arr = np.cumsum(array[1:])'}",
"\n{'code': 'for i in range(1, len(array) + 1):\\n cum_arr[i] = cum_arr[i - 1] + array[i - 1]'}",
"\n{'code': 'def cum_array(array):\\n cum_arr = [array[0]]\\n for i in range(1, len(array) + 1):\\n cum_arr.append(cum_arr[i - 1] + array[i - 1])\\n return cum_arr'}",
"\n{'code': 'import functools\\ncum_arr = functools.reduce(lambda a, b:\\na + b, array, array[0])'}",
"\n{'code': 'import itertools\\ncum_arr = list(itertools.accumulate(array, lambda a, b:\\na + b))'}",
"\n{'code': 'cum_arr = []\\nfor i in range(len(array)):\\n cum_arr.append(cum_arr[i - 1] + array[i])', 'type': 'beginner'}",
"\n{'code': 'cum_arr = np.cumsum(array)', 'type': 'expert'}",
"\n{'code': 'from functools import reduce\\ncum_arr = reduce(lambda x, y: x + y, array)', 'type': 'intermediate'}",
"\n{'code': 'cum_arr = [0] * (len(array) + 1)\\nfor index, value in enumerate(array):\\n cum_arr[index + 1] = cum_arr[index] + value\\nreturn cum_arr', 'level': 'beginner', 'explanation': 'This code is very concise and easy to understand. It uses the enumerate function to iterate over the array and add each value to the cumulative sum.'}",
"\n{'code': 'def cum_sum(array):\\n cum_arr = []\\n for i in range(len(array)):\\n cum_arr.append(array[i] + (cum_arr[i - 1] if i > 0 else 0))\\n return cum_arr', 'level': 'intermediate', 'explanation': 'This code uses a slightly more complex approach to calculate the cumulative sum, but it is still relatively easy to understand. It uses a list comprehension to create a new list of cumulative sums, starting with the first value in the array.'}",
"\n{'code': 'def cum_sum(array):\\n total = 0\\n for value in array:\\n total += value\\n return [total for total in zip([0] * len(array), array, [total + value for value in array])]', 'level': 'expert', 'explanation': 'This code uses a more efficient approach to calculate the cumulative sum, but it is also more difficult to understand. It uses the zip function to create a list of tuples, where each tuple contains the previous total, the current value, and the next total. This list is then converted to a list of lists, where each inner list contains the cumulative sums for each index in the array.'}",
"\n{'code': 'import numpy as np\\ncum_arr = np.cumsum(array)', 'level': 'expert', 'explanation': 'This code uses the numpy library to calculate the cumulative sum. This is the most efficient way to calculate the cumulative sum, but it requires the numpy library to be installed.'}"
]