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BigCodeBench / BigCodeBench v0.1.0_hf db7686ad-7d70-59f5-a799-e8e6da5df3d5

Problem

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

complete prompt

import collections
import numpy as np


def task_func(file_name):
    """
    Find the most common value in each column of a csv file with column names.

    If some values occur the same number of times, the values are sorted
    alphabetically and the first is considered most common.

    If an empty csv is passed, an empty dictionary is returned. 
    
    Parameters:
    file_name (str): The name of the csv file.
    
    Returns:
    dict: A dictionary with column names as keys and most common values as values.

    Requirements:
    - collections
    - numpy
    
    Example:
    >>> common_values = task_func('sample.csv')
    >>> print(common_values)
    {'Name': 'Simon Velasquez',
    'Age': 21,
    'Fruit': 'Apple',
    'Genre': 'HipHop',
    'Height': 172}
    """

instruct prompt

Find the most common value in each column of a csv file with column names. If some values occur the same number of times, the values are sorted alphabetically and the first is considered most common. If an empty csv is passed, an empty dictionary is returned.
The function should output with:
    dict: A dictionary with column names as keys and most common values as values.
You should write self-contained code starting with:

Code

import collections
import numpy as np
def task_func(file_name):

code prompt

Code

import collections
import numpy as np
def task_func(file_name):

entry point

task_func

libs

  • collections
  • numpy

Discussion

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Source and history

task_id
db7686ad-7d70-59f5-a799-e8e6da5df3d5
task_key
default--v0~2e1~2e0~5fhf--db7686ad-7d70-59f5-a799-e8e6da5df3d5
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import