{"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":"51ae926e-5b27-512d-8f49-f85bea3ce3a5","task_key":"default--v0~2e1~2e0~5fhf--51ae926e-5b27-512d-8f49-f85bea3ce3a5","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 51ae926e-5b27-512d-8f49-f85bea3ce3a5","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nimport random\\nfrom datetime import datetime\\ndef task_func(rows=3, columns=2, start_date=datetime(2021, 1, 1), end_date=datetime(2021, 12, 31), seed=0):\\n\",\"complete_prompt\":\"import numpy as np\\nimport random\\nfrom datetime import datetime\\n\\ndef task_func(rows=3, columns=2, start_date=datetime(2021, 1, 1), end_date=datetime(2021, 12, 31), seed=0):\\n    \\\"\\\"\\\"\\n    Generates a matrix of given dimensions (rows x columns) containing unique dates between \\n    a specified start date and end date.\\n    \\n    Parameters:\\n    - rows (int): The number of rows for the output matrix. Default is 3.\\n    - columns (int): The number of columns for the output matrix. Default is 2.\\n    - start_date (datetime): The start date for the range of unique dates. Default is datetime(2021, 1, 1).\\n    - end_date (datetime): The end date for the range of unique dates. Default is datetime(2021, 12, 31).\\n    \\n    Returns:\\n    - ndarray: A numpy ndarray with unique dates in the shape (rows, columns).\\n    \\n    Requirements:\\n    - numpy\\n    - itertools\\n    - datetime\\n    - random\\n    \\n    Example:\\n    >>> matrix = task_func(2, 2, datetime(2021, 1, 1), datetime(2021, 1, 10))\\n    >>> print(matrix)\\n    [['2021-01-03T00:00:00.000000000', '2021-01-07T00:00:00.000000000'],\\n     ['2021-01-09T00:00:00.000000000', '2021-01-04T00:00:00.000000000']]\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generates a matrix of given dimensions (rows x columns) containing unique dates between a specified start date and end date.\\nThe function should output with:\\n    ndarray: A numpy ndarray with unique dates in the shape (rows, columns).\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nimport random\\nfrom datetime import datetime\\ndef task_func(rows=3, columns=2, start_date=datetime(2021, 1, 1), end_date=datetime(2021, 12, 31), seed=0):\\n```\",\"libs\":\"['datetime', 'numpy', 'random']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}