hypercube_points.py

# Created by: Ramy-Badr-Ahmed (https://github.com/Ramy-Badr-Ahmed)
# in Pull Request: #11532
# https://github.com/TheAlgorithms/Python/pull/11532
#
# Please mention me (@Ramy-Badr-Ahmed) in any issue or pull request
# addressing bugs/corrections to this file.
# Thank you!

import numpy as np


def hypercube_points(
 num_points: int, hypercube_size: float, num_dimensions: int
) -> np.ndarray:
 """
 Generates random points uniformly distributed within an n-dimensional hypercube.

 Args:
 num_points: Number of points to generate.
 hypercube_size: Size of the hypercube.
 num_dimensions: Number of dimensions of the hypercube.

 Returns:
 An array of shape (num_points, num_dimensions)
 with generated points.
 """
 rng = np.random.default_rng()
 shape = (num_points, num_dimensions)
 return hypercube_size * rng.random(shape)