data_structures.kd_tree.example.hypercube_points
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.. py:module:: data_structures.kd_tree.example.hypercube_points


Functions
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.. autoapisummary::

   data_structures.kd_tree.example.hypercube_points.hypercube_points


Module Contents
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.. py:function:: hypercube_points(num_points: int, hypercube_size: float, num_dimensions: int) -> numpy.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.