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BigCodeBench / BigCodeBench v0.1.0_hf 4b0a2bec-c8a4-5abc-952d-21979e564eca

Problem

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

complete prompt

import pandas as pd
from texttable import Texttable
import os
import glob

def task_func(data_dir='./data/'):
    """
    Generates a summary table of all ascendingly sorted CSV files in a specified directory using Texttable. 
    If an empty CSV file is encountered, a pandas.errors.EmptyDataError is raised.

    Parameters:
    - data_dir (str): The directory to search for CSV files. Default is './data/'.

    Returns:
    - str: A string representation of the table summarizing the CSV files. Each row contains the file name, number of rows, and number of columns.

    Raises:
    - FileNotFoundError: If the specified directory does not exist.
    - ValueError: If there are no CSV files in the specified directory.
    - pandas.errors.EmptyDataError: If an empty CSV file is encountered.

    Requirements:
    - pandas
    - texttable
    - os
    - glob

    Example:
    >>> data_dir = './test_data/'
    >>> dummy_files = create_dummy_files(data_dir)
    >>> print(task_func(data_dir))
    +-----------+------+---------+
    |   File    | Rows | Columns |
    +===========+======+=========+
    | test2.csv | 10   | 4       |
    +-----------+------+---------+
    | test2.csv | 10   | 4       |
    +-----------+------+---------+
    | test1.csv | 5    | 2       |
    +-----------+------+---------+
    | test1.csv | 5    | 2       |
    +-----------+------+---------+
    >>> tear_down_dummy_files(data_dir, dummy_files)
    """

instruct prompt

Generates a summary table of all ascendingly sorted CSV files in a specified directory using Texttable. If an empty CSV file is encountered, a pandas.errors.EmptyDataError is raised.
The function should raise the exception for: FileNotFoundError: If the specified directory does not exist. ValueError: If there are no CSV files in the specified directory. pandas.errors.EmptyDataError: If an empty CSV file is encountered.
The function should output with:
    str: A string representation of the table summarizing the CSV files. Each row contains the file name, number of rows, and number of columns.
You should write self-contained code starting with:

Code

import pandas as pd
from texttable import Texttable
import os
import glob
def task_func(data_dir='./data/'):

code prompt

Code

import pandas as pd
from texttable import Texttable
import os
import glob
def task_func(data_dir='./data/'):

entry point

task_func

libs

  • glob
  • pandas
  • texttable
  • os

Discussion

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Source and history

task_id
4b0a2bec-c8a4-5abc-952d-21979e564eca
task_key
default--v0~2e1~2e0~5fhf--4b0a2bec-c8a4-5abc-952d-21979e564eca
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import