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BigCodeBench / BigCodeBench v0.1.0_hf 9e7fdc6c-341e-54ea-b8ac-14e8c1231372

Problem

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

complete prompt

import numpy as np
from itertools import chain

def task_func(L):
    """
    Calculate the mean and variance of all elements in a nested list 'L'.
    
    Parameters:
    - L (list): The nested list.
    
    Returns:
    - dict: A dictionary containing the mean and variance.
    
    Requirements:
    - numpy
    - itertools.chain

    Example:
    >>> task_func([[1,2,3],[4,5,6]])
    {'mean': 3.5, 'variance': 2.9166666666666665}
    """

instruct prompt

Calculate the mean and variance of all elements in a nested list 'L'.
The function should output with:
    dict: A dictionary containing the mean and variance.
You should write self-contained code starting with:

Code

import numpy as np
from itertools import chain
def task_func(L):

code prompt

Code

import numpy as np
from itertools import chain
def task_func(L):

entry point

task_func

libs

  • numpy
  • itertools

Discussion

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Source and history

task_id
9e7fdc6c-341e-54ea-b8ac-14e8c1231372
task_key
default--v0~2e1~2e0~5fhf--9e7fdc6c-341e-54ea-b8ac-14e8c1231372
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import