{"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":"465d0e90-391e-5d43-b6e2-8f78bb682e65","task_key":"default--v0~2e1~2e0~5fhf--465d0e90-391e-5d43-b6e2-8f78bb682e65","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 465d0e90-391e-5d43-b6e2-8f78bb682e65","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"from scipy import fftpack\\nfrom matplotlib import pyplot as plt\\ndef task_func(arr):\\n\",\"complete_prompt\":\"from scipy import fftpack\\nfrom matplotlib import pyplot as plt\\n\\n\\ndef task_func(arr):\\n    \\\"\\\"\\\"\\n    Performs a Fast Fourier Transform (FFT) on the sum of each row in a 2D array and\\n    plots the absolute values of the FFT coefficients.\\n\\n    Parameters:\\n    arr (numpy.ndarray): A 2D numpy array.\\n\\n    Returns:\\n    matplotlib.axes.Axes: An Axes object displaying the plot of the absolute values of the FFT coefficients.\\n\\n    Requirements:\\n    - scipy.fftpack\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> import numpy as np\\n    >>> arr = np.array([[i + j for i in range(3)] for j in range(5)])\\n    >>> ax = task_func(arr)\\n    >>> ax.get_title()\\n    'Absolute values of FFT coefficients'\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Performs a Fast Fourier Transform (FFT) on the sum of each row in a 2D array and plots the absolute values of the FFT coefficients.\\nThe function should output with:\\n    matplotlib.axes.Axes: An Axes object displaying the plot of the absolute values of the FFT coefficients.\\nYou should write self-contained code starting with:\\n```\\nfrom scipy import fftpack\\nfrom matplotlib import pyplot as plt\\ndef task_func(arr):\\n```\",\"libs\":\"['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":[]}