{"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":"2b043591-8666-5ba3-a56d-89be51604124","task_key":"default--v0~2e1~2e0~5fhf--2b043591-8666-5ba3-a56d-89be51604124","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 2b043591-8666-5ba3-a56d-89be51604124","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pickle\\nimport os\\nimport matplotlib.pyplot as plt\\ndef task_func(numbers, file_path=\\\"save.pkl\\\"):\\n\",\"complete_prompt\":\"import pickle\\nimport os\\nimport matplotlib.pyplot as plt\\n\\n\\ndef task_func(numbers, file_path=\\\"save.pkl\\\"):\\n    \\\"\\\"\\\"\\n    Save a Matplotlib image generated from the provided \\\"numbers\\\" list in a pickle file.\\n    The function then reads the image back from the file for validation and deletes the pickle file afterward.\\n\\n    Parameters:\\n    - numbers  (list): List of int/float values used to generate the matplotlib figure.\\n    - file_path (str): Path to temporary pickle file. Defaults to 'save.pkl'.\\n\\n    Returns:\\n    - loaded_fig (matplotlib.figure.Figure): The loaded matplotlib figure from file_path.\\n\\n    Requirements:\\n    - pickle\\n    - os\\n    - matplotlib.pyplot\\n\\n    Raises:\\n    - TypeError: If the input is not a list of numbers.\\n    \\n    Example:\\n    >>> numbers = [random.random() for _ in range(100)]\\n    >>> loaded_fig = task_func(numbers)\\n    >>> type(loaded_fig)\\n    <class 'matplotlib.figure.Figure'>\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Save a Matplotlib image generated from the provided \\\"numbers\\\" list in a pickle file. The function then reads the image back from the file for validation and deletes the pickle file afterward.\\nThe function should raise the exception for: TypeError: If the input is not a list of numbers.\\nThe function should output with:\\n    loaded_fig (matplotlib.figure.Figure): The loaded matplotlib figure from file_path.\\nYou should write self-contained code starting with:\\n```\\nimport pickle\\nimport os\\nimport matplotlib.pyplot as plt\\ndef task_func(numbers, file_path=\\\"save.pkl\\\"):\\n```\",\"libs\":\"['matplotlib', 'pickle', 'os']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}