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    The random_sample function in Python is part of the NumPy library, which provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays. The random_sample function returns random floats in the half-open interval [0.0, 1.0), meaning that 0.0 is included in the range but 1.0 is not. The results are from the "continuous uniform" distribution over the stated interval1.

    Code Example

    Here's how you can use random_sample:

    import numpy as np

    # Generate a single random sample from a uniform distribution [0, 1)
    sample = np.random.random_sample()
    print(sample)

    # Generate an array of random samples
    samples_array = np.random.random_sample((5,))
    print(samples_array)

    # Generate a three-by-two array of random numbers from [-5, 0)
    samples_scaled = 5 * np.random.random_sample((3, 2)) - 5
    print(samples_scaled)

    Explanation and Discussion

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