benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf e1102f7a-a826-5fc6-894f-0a699484eb37
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import time
import matplotlib.pyplot as plt
def task_func(time_strings, time_format="%d/%m/%Y %H:%M:%S.%f"):
"""
Parses a list of time strings and plots a histogram of the seconds component.
Parameters:
- time_strings (list of str): A list of time strings to be parsed. Each string in the list should
be formatted according to the 'time_format' parameter.
- time_format (str): The format string for parsing the time strings in 'time_strings'.
The default format is '%d/%m/%Y %H:%M:%S.%f', representing day/month/year hours:minutes:seconds.microseconds.
Returns:
- ax (matplotlib.axes._axes.Axes or None): An Axes object with the histogram plotted if
parsing is successful. Returns None if a parsing error occurs.
Requirements:
- time
- matplotlib
Raises:
- ValueError: If any time string in 'time_strings' cannot be parsed according to 'time_format'.
Example:
>>> time_strings = ['30/03/2009 16:31:32.123', '15/04/2010 14:25:46.789', '20/12/2011 12:34:56.000']
>>> ax = task_func(time_strings)
>>> plt.show() # Display the plot
"""
instruct prompt
Parses a list of time strings and plots a histogram of the seconds component.
The function should raise the exception for: ValueError: If any time string in 'time_strings' cannot be parsed according to 'time_format'.
The function should output with:
ax (matplotlib.axes._axes.Axes or None): An Axes object with the histogram plotted if
parsing is successful. Returns None if a parsing error occurs.
You should write self-contained code starting with:
Code
import time
import matplotlib.pyplot as plt
def task_func(time_strings, time_format="%d/%m/%Y %H:%M:%S.%f"):
code prompt
Code
import time
import matplotlib.pyplot as plt
def task_func(time_strings, time_format="%d/%m/%Y %H:%M:%S.%f"):
entry point
task_func
libs
- matplotlib
- time
Discussion
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See answer Answer published by the source
Artifacts
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Source and history
- task_id
e1102f7a-a826-5fc6-894f-0a699484eb37- task_key
default--v0~2e1~2e0~5fhf--e1102f7a-a826-5fc6-894f-0a699484eb37- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import