flopscope.

flopscope.numpy.random.RandomState.rand

fnp.random.RandomState.rand(self, *args)

Random values in a given shape.

Adapted from NumPy docs np.random.RandomState.rand

Arearandom
Typecounted
NumPy Refnp.random.RandomState.rand
Cost
numel(output)\text{numel}(\text{output})
Flopscope Context

Legacy uniform [0,1); cost = numel(output).

Note.

This is a convenience function for users porting code from Matlab, and wraps random_sample. That function takes a tuple to specify the size of the output, which is consistent with other NumPy functions like flops.zeros and flops.ones.

Create an array of the given shape and populate it with random samples from a uniform distribution over [0, 1).

Parameters

d0, d1, ..., dn:int, optional

The dimensions of the returned array, must be non-negative. If no argument is given a single Python float is returned.

Returns

out:ndarray, shape ``(d0, d1, ..., dn)``

Random values.

See also

Examples

>>> flops.random.rand(3,2)
array([[ 0.14022471,  0.96360618],  #random
       [ 0.37601032,  0.25528411],  #random
       [ 0.49313049,  0.94909878]]) #random