{"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":"f2eb975e-0e1c-584c-be44-917e0b54d0cc","task_key":"default--v0~2e1~2e0~5fhf--f2eb975e-0e1c-584c-be44-917e0b54d0cc","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf f2eb975e-0e1c-584c-be44-917e0b54d0cc","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nfrom scipy import integrate\\nimport matplotlib.pyplot as plt\\ndef task_func(func, x_range=(-2, 2), num_points=1000):\\n\",\"complete_prompt\":\"import numpy as np\\nfrom scipy import integrate\\nimport matplotlib.pyplot as plt\\n\\n\\ndef task_func(func, x_range=(-2, 2), num_points=1000):\\n    \\\"\\\"\\\"\\n    Calculates and plots both a given function and its cumulative integral over a specified range,\\n    using a linearly spaced range of x-values.\\n\\n    Parameters:\\n    func (function): A function of a single variable to integrate and plot.\\n    x_range (tuple, optional): The range (start, end) over which to evaluate `func`. Defaults to (-2, 2).\\n    num_points (int, optional): Number of points to generate in `x_range`. Defaults to 1000.\\n\\n    Returns:\\n    matplotlib.axes.Axes: The Axes object containing the plots of the function and its integral.\\n\\n    Requirements:\\n    - numpy\\n    - scipy\\n    - matplotlib\\n\\n    Note:\\n    - The plot includes a legend and labels for the x and y axes that include the function's name.\\n\\n    Example:\\n    >>> ax = task_func(np.sin)\\n    >>> type(ax)\\n    <class 'matplotlib.axes._axes.Axes'>\\n    >>> ax.get_legend_handles_labels()[-1]\\n    ['sin(x)', 'Integral of sin(x)']\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Calculates and plots both a given function and its cumulative integral over a specified range, using a linearly spaced range of x-values.\\nNote that: The plot includes a legend and labels for the x and y axes that include the function's name.\\nThe function should output with:\\n    matplotlib.axes.Axes: The Axes object containing the plots of the function and its integral.\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nfrom scipy import integrate\\nimport matplotlib.pyplot as plt\\ndef task_func(func, x_range=(-2, 2), num_points=1000):\\n```\",\"libs\":\"['numpy', 'matplotlib', 'scipy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}