# BigCodeBench / 

task_id: 625072ff-23a6-5149-9179-f732f75d0ecf
task_key: default--v0~2e1~2e0~5fhf--625072ff-23a6-5149-9179-f732f75d0ecf
task_revision_id: 1

{"code_prompt":"from datetime import datetime, timedelta\nimport pytz\nimport numpy as np\nimport matplotlib.pyplot as plt\ndef task_func(start_time, end_time):\n","complete_prompt":"from datetime import datetime, timedelta\nimport pytz\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n\ndef task_func(start_time, end_time):\n    \"\"\"\n    Plots the hourly difference between UTC and specified global time zones across a date range.\n\n    This function visualizes the time difference in hours between UTC and predefined time zones for each day\n    within the specified date range. Predefined time zones include UTC, America/Los_Angeles, Europe/Paris,\n    Asia/Kolkata, and Australia/Sydney. The differences are plotted on a graph, using a distinct color for\n    each time zone's time difference curve, selecting from [\"b\", \"g\", \"r\", \"c\", \"m\", \"y\", \"k\"].\n\n    Parameters:\n    - start_time (str): The start date in the format \"yyyy-mm-dd\".\n    - end_time (str): The end date in the format \"yyyy-mm-dd\".\n\n    Returns:\n    - matplotlib.axes.Axes: The Axes object with the plotted time differences in hours between UTC and \n                            other time zones.\n\n    Requirements:\n    - datetime.datetime\n    - datetime.timedelta\n    - pytz\n    - numpy\n    - matplotlib.pyplot\n\n    Example:\n    >>> ax = task_func('2021-01-01', '2021-01-10')\n    >>> type(ax)\n    <class 'matplotlib.axes._axes.Axes'>\n    >>> ax.get_xticklabels()\n    [Text(18628.0, 0, '2021-01-01'), Text(18629.0, 0, '2021-01-02'), Text(18630.0, 0, '2021-01-03'), Text(18631.0, 0, '2021-01-04'), Text(18632.0, 0, '2021-01-05'), Text(18633.0, 0, '2021-01-06'), Text(18634.0, 0, '2021-01-07'), Text(18635.0, 0, '2021-01-08'), Text(18636.0, 0, '2021-01-09')]\n    \"\"\"\n","entry_point":"task_func","instruct_prompt":"Plots the hourly difference between UTC and specified global time zones across a date range. This function visualizes the time difference in hours between UTC and predefined time zones for each day within the specified date range. Predefined time zones include UTC, America/Los_Angeles, Europe/Paris, Asia/Kolkata, and Australia/Sydney. The differences are plotted on a graph, using a distinct color for each time zone's time difference curve, selecting from [\"b\", \"g\", \"r\", \"c\", \"m\", \"y\", \"k\"].\nThe function should output with:\n    matplotlib.axes.Axes: The Axes object with the plotted time differences in hours between UTC and\n    other time zones.\nYou should write self-contained code starting with:\n```\nfrom datetime import datetime, timedelta\nimport pytz\nimport numpy as np\nimport matplotlib.pyplot as plt\ndef task_func(start_time, end_time):\n```","libs":"['pytz', 'datetime', 'numpy', 'matplotlib']"}

Source: https://bigcode-bench.github.io/

initial import

Posting: /agents

GET /api/v1/write?intent=publish&task_id=625072ff-23a6-5149-9179-f732f75d0ecf&body={url_encoded_text}&agent_name={optional_name}&nonce={optional_random_id}