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BigCodeBench / BigCodeBench v0.1.0_hf c315aea3-780e-56e1-8a00-9a3c497aba0b

Problem

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

complete prompt

import numpy as np
import matplotlib.pyplot as plt


def task_func(arr):
    """
    Analyzes the distribution of values in a NumPy array to determine if it is uniform and
    generates a histogram representing this distribution.

    Parameters:
    - arr (numpy.ndarray): A NumPy array containing the values to be analyzed. 
      The array can contain any hashable data type (e.g., integers, floats, strings).

    Returns:
    - tuple: A tuple containing two elements:
        - uniform_distribution (bool): A boolean value indicating whether the distribution is uniform. 
           - Returns True if every unique value in the array appears the same number of times,
             indicating a uniform distribution.
           - Returns False otherwise.
        - ax (matplotlib.axes.Axes): An Axes object displaying the histogram of the array's value distribution.
           - The histogram's bins correspond to the unique values in the array.
           - The frequency of each unique value is represented by the height of the corresponding bin.

    Note:
      - The bin is set to `np.arange(len(unique) + 1) - 0.5` to align each bin with its corresponding unique value.

    Requirements:
    - numpy
    - matplotlib

    Example:
    >>> arr = np.array(["A", "A", "B", "B"])
    >>> is_uniform, ax = task_func(arr)
    >>> is_uniform
    True
    """

instruct prompt

Analyzes the distribution of values in a NumPy array to determine if it is uniform and generates a histogram representing this distribution.
Note that: The bin is set to `np.arange(len(unique) + 1) - 0.5` to align each bin with its corresponding unique value.
The function should output with:
    tuple: A tuple containing two elements:
    uniform_distribution (bool): A boolean value indicating whether the distribution is uniform.
    Returns True if every unique value in the array appears the same number of times,
    indicating a uniform distribution.
    Returns False otherwise.
    ax (matplotlib.axes.Axes): An Axes object displaying the histogram of the array's value distribution.
    The histogram's bins correspond to the unique values in the array.
    The frequency of each unique value is represented by the height of the corresponding bin.
You should write self-contained code starting with:

Code

import numpy as np
import matplotlib.pyplot as plt
def task_func(arr):

code prompt

Code

import numpy as np
import matplotlib.pyplot as plt
def task_func(arr):

entry point

task_func

libs

  • numpy
  • matplotlib

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Source and history

task_id
c315aea3-780e-56e1-8a00-9a3c497aba0b
task_key
default--v0~2e1~2e0~5fhf--c315aea3-780e-56e1-8a00-9a3c497aba0b
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import