{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"bigcodebench","formal_name":"BigCodeBench","introduction":"BigCodeBench poses 1,140 function-level tasks drawn across 139 libraries. It tests whether a model can compose several real APIs correctly rather than write one self-contained function.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://bigcode-bench.github.io/","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"2ba7a626-61e7-5fbe-a991-86944530bf64","task_key":"default--v0~2e1~2e0~5fhf--2ba7a626-61e7-5fbe-a991-86944530bf64","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 2ba7a626-61e7-5fbe-a991-86944530bf64","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nimport matplotlib.pyplot as plt\\n# Constants\\nARRAY_SIZE = 10000\\ndef task_func():\\n\",\"complete_prompt\":\"import numpy as np\\nimport matplotlib.pyplot as plt\\n\\n# Constants\\nARRAY_SIZE = 10000\\n\\ndef task_func():\\n    \\\"\\\"\\\"\\n    Create a numeric array of random integers, calculate the mean and standard deviation, and draw a histogram of the distribution.\\n\\n    Note:\\n        The random integers are generated between 1 and 100. The title of the histogram is \\\"Histogram of Random Integers\\\". \\n        The x-axis is labeled \\\"Value\\\" and the y-axis is labeled \\\"Frequency\\\". \\n        The mean is plotted as a red dashed line, and the standard deviation is plotted as purple dashed lines.\\n        \\n    Returns:\\n    Tuple: A tuple containing the array, mean, standard deviation, and the histogram plot (Axes).\\n\\n    Requirements:\\n    - numpy\\n    - matplotlib.pyplot\\n    \\n    Example:\\n    >>> import numpy as np\\n    >>> np.random.seed(0)\\n    >>> array, mean, std, ax = task_func()\\n    >>> print(mean, std)\\n    49.6135 28.5323416100046\\n    >>> plt.show()\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Create a numeric array of random integers, calculate the mean and standard deviation, and draw a histogram of the distribution.\\nNote that: The random integers are generated between 1 and 100. The title of the histogram is \\\"Histogram of Random Integers\\\". The x-axis is labeled \\\"Value\\\" and the y-axis is labeled \\\"Frequency\\\". The mean is plotted as a red dashed line, and the standard deviation is plotted as purple dashed lines.\\nThe function should output with:\\n    Tuple: A tuple containing the array, mean, standard deviation, and the histogram plot (Axes).\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\n# Constants\\nARRAY_SIZE = 10000\\ndef task_func():\\n```\",\"libs\":\"['numpy', 'matplotlib']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}