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22 lines
629 B
Python
22 lines
629 B
Python
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import numpy as np
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def hypercube_points(
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num_points: int, hypercube_size: float, num_dimensions: int
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) -> np.ndarray:
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"""
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Generates random points uniformly distributed within an n-dimensional hypercube.
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Args:
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num_points: Number of points to generate.
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hypercube_size: Size of the hypercube.
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num_dimensions: Number of dimensions of the hypercube.
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Returns:
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An array of shape (num_points, num_dimensions)
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with generated points.
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"""
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rng = np.random.default_rng()
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shape = (num_points, num_dimensions)
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return hypercube_size * rng.random(shape)
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