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BigCodeBench / BigCodeBench v0.1.0_hf a1b227ca-8afb-51ff-8073-7ffbcf5dae3b

Problem

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

complete prompt

import urllib.request
from pyquery import PyQuery as pq
from datetime import datetime
import pandas as pd

def task_func(url):
    """
    Extracts the text and href attributes of all anchor tags from a given URL's HTML content, 
    and returns this data in a pandas DataFrame along with the time of data extraction.

    Parameters:
    url (str): The URL from which to fetch the HTML content.

    Returns:
    pandas.DataFrame: A DataFrame with columns 'text', 'href', and 'fetch_time'. Each row 
                      corresponds to an anchor tag in the HTML, with 'text' and 'href' containing 
                      the text and the hyperlink reference of the anchor tag, respectively. 
                      'fetch_time' contains the timestamp of when the data was fetched in the format
                        'YYYY-MM-DD HH:MM:SS'.

    Raises:
    ValueError: If the provided URL is invalid or empty.
    URLError: If there is an issue with network connectivity or the server.

    Requirements:
    - urllib.request
    - pyquery
    - datime
    - pandas
    - urllib.error

    Example:
    >>> df = task_func('https://en.wikibooks.org/wiki/Main_Page')

    Note:
    The function requires internet connectivity to fetch HTML content.
    """

instruct prompt

Extracts the text and href attributes of all anchor tags from a given URL's HTML content, and returns this data in a pandas DataFrame along with the time of data extraction.
Note that: The function requires internet connectivity to fetch HTML content.
The function should raise the exception for: ValueError: If the provided URL is invalid or empty. URLError: If there is an issue with network connectivity or the server.
The function should output with:
    pandas.DataFrame: A DataFrame with columns 'text', 'href', and 'fetch_time'. Each row
    corresponds to an anchor tag in the HTML, with 'text' and 'href' containing
    the text and the hyperlink reference of the anchor tag, respectively.
    'fetch_time' contains the timestamp of when the data was fetched in the format
    'YYYY-MM-DD HH:MM:SS'.
You should write self-contained code starting with:

Code

import urllib.request
from pyquery import PyQuery as pq
from datetime import datetime
import pandas as pd
def task_func(url):

code prompt

Code

import urllib.request
from pyquery import PyQuery as pq
from datetime import datetime
import pandas as pd
def task_func(url):

entry point

task_func

libs

  • pandas
  • urllib
  • datetime
  • pyquery

Discussion

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Source and history

task_id
a1b227ca-8afb-51ff-8073-7ffbcf5dae3b
task_key
default--v0~2e1~2e0~5fhf--a1b227ca-8afb-51ff-8073-7ffbcf5dae3b
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import