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BigCodeBench / BigCodeBench v0.1.0_hf 71be4aa0-77ca-53cd-b820-57a61b3f633b

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 combinations

def task_func(array1, array2):
    """
    Calculate the maximum Euclidean distance between all possible pairs of points 
    formed by combining elements from two input arrays.

    Each point is formed by combining one element from the first array and one 
    element from the second array. The function then calculates the Euclidean 
    distance between each pair of points and returns the maximum distance found.

    Parameters:
    - array1 (numpy.array): A one-dimensional numpy array.
    - array2 (numpy.array): A one-dimensional numpy array. The length of array2 should be 
                          the same as array1.

    Returns:
    - max_distance (float): The maximum Euclidean distance between any two points formed by combining 
           elements from array1 and array2. If the arrays are empty, the function
           returns 0.

    Raises:
    - ValueError: If the input arrays have different lengths.

    Requirements:
    - numpy
    - itertools

    Example:
    >>> array1 = np.array([2, 3, 4])
    >>> array2 = np.array([1, 5, 2])
    >>> task_func(array1, array2)
    4.123105625617661
    """

instruct prompt

Calculate the maximum Euclidean distance between all possible pairs of points formed by combining elements from two input arrays. Each point is formed by combining one element from the first array and one element from the second array. The function then calculates the Euclidean distance between each pair of points and returns the maximum distance found.
The function should raise the exception for: ValueError: If the input arrays have different lengths.
The function should output with:
    max_distance (float): The maximum Euclidean distance between any two points formed by combining
    elements from array1 and array2. If the arrays are empty, the function
    returns 0.
You should write self-contained code starting with:

Code

import numpy as np
from itertools import combinations
def task_func(array1, array2):

code prompt

Code

import numpy as np
from itertools import combinations
def task_func(array1, array2):

entry point

task_func

libs

  • numpy
  • itertools

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Source and history

task_id
71be4aa0-77ca-53cd-b820-57a61b3f633b
task_key
default--v0~2e1~2e0~5fhf--71be4aa0-77ca-53cd-b820-57a61b3f633b
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import