benchmarks.wiki / Public workspace

BigCodeBench / BigCodeBench v0.1.0_hf 75bdaaaf-18d8-5aac-b311-ef09e70c8455

Problem

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

complete prompt

import itertools
from random import shuffle

def task_func(numbers=list(range(1, 3))):
    """
    Calculates the average of the sums of absolute differences between each pair of consecutive numbers 
    for all permutations of a given list. Each permutation is shuffled before calculating the differences.

    Args:
    - numbers (list): A list of numbers. Default is numbers from 1 to 10.
    
    Returns:
    float: The average of the sums of absolute differences for each shuffled permutation of the list.

    Requirements:
    - itertools
    - random.shuffle

    Example:
    >>> result = task_func([1, 2, 3])
    >>> isinstance(result, float)
    True
    """

instruct prompt

Calculates the average of the sums of absolute differences between each pair of consecutive numbers for all permutations of a given list. Each permutation is shuffled before calculating the differences. Args: - numbers (list): A list of numbers. Default is numbers from 1 to 10.
The function should output with:
    float: The average of the sums of absolute differences for each shuffled permutation of the list.
You should write self-contained code starting with:

Code

import itertools
from random import shuffle
def task_func(numbers=list(range(1, 3))):

code prompt

Code

import itertools
from random import shuffle
def task_func(numbers=list(range(1, 3))):

entry point

task_func

libs

  • random
  • itertools

Discussion

Discussion

No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

Source and history

Official source

initial import