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BigCodeBench / BigCodeBench v0.1.0_hf f4211b19-5a9e-5817-9f2b-69cc9161c548

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import pandas as pd
import pytz


def task_func(articles, timezone):
    """
    Analyze the publication times of a list of articles: 
    1) Convert 'published_time' to a specified timezone
    2) Group articles by 'category'
    3) For each category, calculate the count, mean, min, max publication times only considering the hour.

    Parameters:
    articles (list): A list of dictionaries where each dictionary represents 
    an article with keys 'title', 'title_url', 'id', 'category', and 'published_time' (in UTC).
    timezone (str): The string representation of the timezone to which the 'published_time' should be converted.

    Returns:
    DataFrame: A pandas DataFrame with the count, mean, min, max publication hour for each category.
               The category is the index of the DataFrame.

    Raises:
    ValueError: If dictionary keys do not match the requirements.
    TypeError: If articles is not a list of dictionaries. 
    ValueError: If an empty list is passed as articles.

    Requirements:
    - pandas
    - pytz

    Example:
    >>> articles = [{'title': 'Apple News', 'title_url': 'Apple_News', 'id': 2, 'category': 'Technology', 'published_time': datetime(2023, 6, 15, 12, 0, 0, tzinfo=pytz.UTC)},
    ...             {'title': 'New York Times', 'title_url': 'New_York_Times', 'id': 4, 'category': 'Sports', 'published_time': datetime(2023, 6, 16, 23, 0, 0, tzinfo=pytz.UTC)},
    ...             {'title': 'USA Today', 'title_url': 'USA_Today', 'id': 6, 'category': 'Health', 'published_time': datetime(2023, 6, 17, 7, 0, 0, tzinfo=pytz.UTC)}]
    >>> analysis_df = task_func(articles, 'America/New_York')
    >>> print(analysis_df)
                count  mean  min  max
    category                         
    Health          1   3.0    3    3
    Sports          1  19.0   19   19
    Technology      1   8.0    8    8
    """

instruct prompt

Analyze the publication times of a list of articles: 1) Convert 'published_time' to a specified timezone 2) Group articles by 'category' 3) For each category, calculate the count, mean, min, max publication times only considering the hour.
The function should raise the exception for: ValueError: If dictionary keys do not match the requirements. TypeError: If articles is not a list of dictionaries. ValueError: If an empty list is passed as articles.
The function should output with:
    DataFrame: A pandas DataFrame with the count, mean, min, max publication hour for each category.
    The category is the index of the DataFrame.
You should write self-contained code starting with:

Code

import pandas as pd
import pytz
def task_func(articles, timezone):

code prompt

Code

import pandas as pd
import pytz
def task_func(articles, timezone):

entry point

task_func

libs

  • pytz
  • pandas

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Source and history

task_id
f4211b19-5a9e-5817-9f2b-69cc9161c548
task_key
default--v0~2e1~2e0~5fhf--f4211b19-5a9e-5817-9f2b-69cc9161c548
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import