random.seed

np random seed

>>> import numpy as np
>>> 
>>> np.random.seed(0)
>>> 
>>> np.random.rand(3)
array([0.5488135 , 0.71518937, 0.60276338])
>>> np.random.rand(3)
array([0.54488318, 0.4236548 , 0.64589411])
>>> 
>>> 
>>> np.random.seed(1)
>>> 
>>> np.random.rand(3)
array([4.17022005e-01, 7.20324493e-01, 1.14374817e-04])
>>> np.random.rand(3)
array([0.30233257, 0.14675589, 0.09233859])
>>> 
>>> 
>>> np.random.seed(0)
>>> 
>>> np.random.rand(3)
array([0.5488135 , 0.71518937, 0.60276338])
>>> np.random.rand(3)
array([0.54488318, 0.4236548 , 0.64589411])

Posted by: Guest on October-28-2020

Source

The seed() method is used to initialize the random number generator. The random number generator needs a number to start with (a seed value), to be able to generate a random number. By default the random number generator uses the current system time

A random seed (or seed state, or just seed) is a number (or vector) used to initialize a pseudorandom number generator. ... Random seeds are often generated from the state of the computer system (such as the time), a cryptographically secure pseudorandom number generator or from a hardware random number generator.

from random import randint seed = [] max_range = randint(1, 31) for i in range(0, max_range): if len(str(seed)) < 32: seed_bytes = randint(0, 9) seed.append(seed_bytes) else: break print(*seed, sep='')

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