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BigCodeBench / BigCodeBench v0.1.0_hf 87c2c69b-4c1d-5344-b20e-d495d2c25309

Problem

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

complete prompt

import pandas as pd
import json


def task_func(data: dict, output_path: str = "./default_data_output.json") -> str:
    """
    Converts the given DataFrame to a dictionary, dropping the column named 'c'
    if it exists, and then saves it as a JSON file.

    Parameters:
    - data (dict): The input data dictionary.
    - output_path (str, optional): The path where the JSON file should be saved. Default is './default_data_output.json'.

    Returns:
    - str: Path where the JSON file was saved.

    Requirements:
    - pandas
    - json

    Example:
    >>> task_func({'a': [1,2], 'b': [3,4], 'c': [5,6]})
    './default_data_output.json'
    >>> print(json.load(open(task_func({'a': [1,2], 'b': [3,4], 'c': [5,6]})))
    {'a': {'0': 1, '1': 2}, 'b': {'0': 3, '1': 4}}
    >>> task_func({'a': [1,2], 'b': [3,4], 'c': [5,6]}, 'custom/path/results.json')
    'custom/path/results.json'
    >>> print(json.load(open(task_func({'a': [1,2], 'b': [3,4], 'c': [5,6]}, 'custom/path/results.json')))
    {'a': {'0': 1, '1': 2}, 'b': {'0': 3, '1': 4}}
    """

instruct prompt

Converts the given DataFrame to a dictionary, dropping the column named 'c' if it exists, and then saves it as a JSON file.
The function should output with:
    str: Path where the JSON file was saved.
You should write self-contained code starting with:

Code

import pandas as pd
import json
def task_func(data: dict, output_path: str = "./default_data_output.json") -> str:

code prompt

Code

import pandas as pd
import json
def task_func(data: dict, output_path: str = "./default_data_output.json") -> str:

entry point

task_func

libs

  • pandas
  • json

Discussion

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Source and history

task_id
87c2c69b-4c1d-5344-b20e-d495d2c25309
task_key
default--v0~2e1~2e0~5fhf--87c2c69b-4c1d-5344-b20e-d495d2c25309
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import