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BigCodeBench / BigCodeBench v0.1.0_hf bb3e1017-7ad3-5b02-9808-eefb2cb7b52e

Problem

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

complete prompt

import itertools
import numpy as np
import matplotlib.pyplot as plt


def task_func(elements, subset_size):
    """
    Generate all subsets of a given size from a tuple and draw a histogram of the sums of the subsets. Additionally,
    return the Axes object of the plotted histogram and the combinations of the subsets and their sums.

    Parameters:
    - elements (tuple): A tuple of integers for which subsets will be generated.
    - subset_size (int): Size of the subsets to be generated.

    Returns:
    - matplotlib.axes.Axes: Axes object of the plotted histogram.
    - list: List of all the combinations of subsets.
    - list: List of the sums of all the subsets.

    Requirements:
    - itertools
    - numpy
    - matplotlib

    Example:
    >>> ax, combs, sums = task_func((1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 2)
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    >>> len(combs)
    45
    >>> len(sums)
    45
    """

instruct prompt

Generate all subsets of a given size from a tuple and draw a histogram of the sums of the subsets. Additionally, return the Axes object of the plotted histogram and the combinations of the subsets and their sums.
The function should output with:
    matplotlib.axes.Axes: Axes object of the plotted histogram.
    list: List of all the combinations of subsets.
    list: List of the sums of all the subsets.
You should write self-contained code starting with:

Code

import itertools
import numpy as np
import matplotlib.pyplot as plt
def task_func(elements, subset_size):

code prompt

Code

import itertools
import numpy as np
import matplotlib.pyplot as plt
def task_func(elements, subset_size):

entry point

task_func

libs

  • itertools
  • numpy
  • matplotlib

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Source and history

Official source

initial import