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BigCodeBench / BigCodeBench v0.1.0_hf 010aebf5-3bc5-58ec-8400-667dd389afaa

Problem

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

complete prompt

import numpy as np
import itertools

def task_func(data_list):
    """
    Unzips a list of tuples and calculates the mean of the numeric values for 
    each position.

    The function accepts a list of tuples, where each tuple consists of 
    alphanumeric values. It unzips the tuples, and calculates the mean of 
    numeric values at each position using numpy, where non numeric values are
    ignores. If all values at a position are non numeric, the mean at this
    position is set to be np.nan.
    If the provided tuples have different number of entries, missing values are 
    treated as zeros.

    Parameters:
    - data_list (list of tuples): The data to process, structured as a list of tuples. Each tuple can contain alphanumeric values.

    Returns:
    - list: A list of mean values for each numeric position across the tuples. Non-numeric positions are ignored.
            An empty list is returned if the input list (data_list) is empty.

    Requirements:
    - numpy
    - itertools

    Example:
    >>> task_func([('a', 1, 2), ('b', 2, 3), ('c', 3, 4), ('d', 4, 5), ('e', 5, 6)])
    [nan, 3.0, 4.0]
    >>> task_func([(1, 'a', 2), ('a', 3, 5), ('c', 1, -2)])
    [1.0, 2.0, 1.6666666666666667]
    """

instruct prompt

Unzips a list of tuples and calculates the mean of the numeric values for each position. The function accepts a list of tuples, where each tuple consists of alphanumeric values. It unzips the tuples, and calculates the mean of numeric values at each position using numpy, where non numeric values are ignores. If all values at a position are non numeric, the mean at this position is set to be np.nan. If the provided tuples have different number of entries, missing values are treated as zeros.
The function should output with:
    list: A list of mean values for each numeric position across the tuples. Non-numeric positions are ignored.
    An empty list is returned if the input list (data_list) is empty.
You should write self-contained code starting with:

Code

import numpy as np
import itertools
def task_func(data_list):

code prompt

Code

import numpy as np
import itertools
def task_func(data_list):

entry point

task_func

libs

  • numpy
  • itertools

Discussion

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Source and history

task_id
010aebf5-3bc5-58ec-8400-667dd389afaa
task_key
default--v0~2e1~2e0~5fhf--010aebf5-3bc5-58ec-8400-667dd389afaa
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import