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BigCodeBench / BigCodeBench v0.1.0_hf a05bca57-cc41-57b5-b8d7-1b3a72f9076d

Problem

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

complete prompt

import csv
import os

def task_func(data, file_path, headers):
    """
    Writes a list of tuples to a CSV file.

    Each tuple in the 'data' list represents a row in the CSV file, with each 
    element of the tuple corresponding to a cell in the row. If a tuple contains
    fewer elements than there are headers, the missing elements are filled with None.

    Parameters:
        data (list of tuples): A list of tuples with each tuple representing a row of data.
        file_path (str): The complete file path where the CSV file will be saved. If the file already exists, it will be overwritten.
        headers (list of str): A list of strings representing the headers (column names) in the CSV file.

    Returns:
        str: The absolute path of the saved CSV file.

    Raises:
        ValueError: If 'file_path' is None.

    Requirements:
    - csv
    - os

    
    Examples:
    >>> full_path = task_func([(1, 'a', 2), ('a', 3, 5), ('c', 1, -2)], 'test.csv', ['a', 'b', 'c'])
    >>> print(full_path)
    '/user/data/test.csv' #full path depends on os and individual folder structure
    >>> with open('test.csv', 'r', newline='') as csvfile:
    >>>     reader = csv.reader(csvfile)
    >>>     for row in reader: 
    >>>         print(row)
    ['a', 'b', 'c']
    ['1', 'a', '2']
    ['a', '3', '5']
    ['c', '1', '-2']

    >>> task_func([('test', 123, 2), (3, -3, -15), ('hallo', 1, -2)], 'data.csv', ['test1', 'test2', 'test3'])
    '/user/data/data.csv' #full path depends on os and individual folder structure
    >>> with open('data.csv', 'r', newline='') as csvfile:
    >>>     reader = csv.reader(csvfile)
    >>>     for row in reader: 
    >>>         print(row)
    ['test1', 'test2', 'test3']
    ['test', '123', '2']
    ['3', '-3', '-15']
    ['hallo', '1', '-2']
    ['1', 'hi', 'hello']
    """

instruct prompt

Writes a list of tuples to a CSV file. Each tuple in the 'data' list represents a row in the CSV file, with each element of the tuple corresponding to a cell in the row. If a tuple contains fewer elements than there are headers, the missing elements are filled with None. >>> task_func([('test', 123, 2), (3, -3, -15), ('hallo', 1, -2)], 'data.csv', ['test1', 'test2', 'test3']) '/user/data/data.csv' #full path depends on os and individual folder structure >>> with open('data.csv', 'r', newline='') as csvfile: >>>     reader = csv.reader(csvfile) >>>     for row in reader: >>>         print(row) ['test1', 'test2', 'test3'] ['test', '123', '2'] ['3', '-3', '-15'] ['hallo', '1', '-2'] ['1', 'hi', 'hello']
The function should raise the exception for: ValueError: If 'file_path' is None.
The function should output with:
    str: The absolute path of the saved CSV file.
You should write self-contained code starting with:

Code

import csv
import os
def task_func(data, file_path, headers):

code prompt

Code

import csv
import os
def task_func(data, file_path, headers):

entry point

task_func

libs

  • csv
  • os

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Source and history

task_id
a05bca57-cc41-57b5-b8d7-1b3a72f9076d
task_key
default--v0~2e1~2e0~5fhf--a05bca57-cc41-57b5-b8d7-1b3a72f9076d
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import