BigCodeBench / BigCodeBench v0.1.0_hf a10c9e3d-d5b6-5b4c-98ac-306646b8dda5

complete prompt

import pandas as pd
import numpy as np

DEFAULT_COLUMNS = ['Element', 'Count']


def task_func(elements, include_index=False):
    """
    Constructs a DataFrame that enumerates the character counts of each string in a provided list of elements. This
    function can optionally include an index column for each row in the DataFrame.

    Parameters:
    elements (List[str]): A list of strings whose character counts are to be calculated.
    include_index (bool): Flag to decide whether to add an index column in the resulting DataFrame.

    Returns: DataFrame: Returns a pandas DataFrame with columns for elements and their respective character counts.
    Includes an 'Index' column if requested.

    Requirements:
    - pandas
    - numpy

    Note:
    The order of columns in the returned DataFrame will be ['Index', 'Element', 'Count'] if the index is included.

    Example:
    >>> result = task_func(['abc', 'def'], include_index=True)
    >>> print(result.to_string(index=False))
     Index Element  Count
         0     abc      3
         1     def      3
    """

instruct prompt

Constructs a DataFrame that enumerates the character counts of each string in a provided list of elements. This function can optionally include an index column for each row in the DataFrame.
Note that: The order of columns in the returned DataFrame will be ['Index', 'Element', 'Count'] if the index is included.
The function should output with:
    DataFrame: Returns a pandas DataFrame with columns for elements and their respective character counts.
    Includes an 'Index' column if requested.
You should write self-contained code starting with:

Code

import pandas as pd
import numpy as np
DEFAULT_COLUMNS = ['Element', 'Count']
def task_func(elements, include_index=False):

code prompt

Code

import pandas as pd
import numpy as np
DEFAULT_COLUMNS = ['Element', 'Count']
def task_func(elements, include_index=False):

entry point

task_func

libs

• pandas
• numpy