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BigCodeBench / BigCodeBench v0.1.0_hf 57c37be6-7565-5cae-8062-8b14ed4e8950

Problem

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

complete prompt

import pandas as pd
import random
import re


def task_func(data_list, seed=None):
    """
    Apply a random operation (remove, replace, shuffle, or randomize) to substrings in a list of strings.

    This function processes a list of comma-separated strings by applying one of four random operations to
    their substrings: remove, replace, shuffle, or randomize. Here, a substring refers to the individual
    items in the string that are separated by commas, sensitive to leading/trailing whitespace, i.e.
    'apple' != 'apple ', and sensitive to case, i.e. 'APPLE' != 'aPPLE'.

    The choice of operation and the substrings it affects are determined randomly. The operations are:
    - Remove: Randomly selects and removes a substring.
              If a string contains only one substring, no 'remove' operation is applied.
    - Replace: Randomly selects a substring and replaces it with 'random_string'.
    - Shuffle: Randomly shuffles the order of the substrings.
    - Randomize: Assigns a new, random order to the substrings.

    Finally, the function returns a DataFrame with column 'Original String' containing the input strings
    and the 'Modified String' column containing the strings after applying the random operation.

    Parameters:
    - data_list (list): The list of strings. If empty, function will return a DataFrame with the expected
                        columns that is otherwise empty.
    - seed (int, optional): A seed for the random operations to ensure reproducibility. Default is None.

    Returns:
    df (pd.DataFrame): DataFrame containing original and modified strings.

    Requirements:
    - pandas
    - random
    - re

    Example:
    >>> task_func(['lamp, bag, mirror', 'table, chair, bag, lamp'], seed=0)
               Original String          Modified String
    0        lamp, bag, mirror        bag, lamp, mirror
    1  table, chair, bag, lamp  lamp, chair, bag, table
    """

instruct prompt

Apply a random operation (remove, replace, shuffle, or randomize) to substrings in a list of strings. This function processes a list of comma-separated strings by applying one of four random operations to their substrings: remove, replace, shuffle, or randomize. Here, a substring refers to the individual items in the string that are separated by commas, sensitive to leading/trailing whitespace, i.e. 'apple' != 'apple ', and sensitive to case, i.e. 'APPLE' != 'aPPLE'. The choice of operation and the substrings it affects are determined randomly. The operations are: - Remove: Randomly selects and removes a substring. If a string contains only one substring, no 'remove' operation is applied. - Replace: Randomly selects a substring and replaces it with 'random_string'. - Shuffle: Randomly shuffles the order of the substrings. - Randomize: Assigns a new, random order to the substrings. Finally, the function returns a DataFrame with column 'Original String' containing the input strings and the 'Modified String' column containing the strings after applying the random operation.
The function should output with:
    df (pd.DataFrame): DataFrame containing original and modified strings.
You should write self-contained code starting with:

Code

import pandas as pd
import random
import re
def task_func(data_list, seed=None):

code prompt

Code

import pandas as pd
import random
import re
def task_func(data_list, seed=None):

entry point

task_func

libs

  • pandas
  • random
  • re

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Source and history

task_id
57c37be6-7565-5cae-8062-8b14ed4e8950
task_key
default--v0~2e1~2e0~5fhf--57c37be6-7565-5cae-8062-8b14ed4e8950
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import