Numpy generate a random float number between 2 values
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Use a numpy.random.rand() to create an n-dimensional array of float numbers and populate it with random samples from a uniform distribution over [0, 1). Use a numpy.random.uniform() to create an n-dimensional array of float numbers between any float range.
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Explanation:
use a genuine random number of individual disks
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