Full name
random.SystemRandom
Library
random
Syntax
random.SystemRandom([seed])
Description
random.SystemRandom is a class that uses the os.urandom() function to generate random numbers from sources provided by the operating system. This class does not rely on software state and the generated number sequences are not reproducible. This means that the seed() method has no effect and is ignored.
We can see the set of names associated with this class with the following code:
names = lambda obj: print([n for n in dir(obj) if not n.startswith("_")])
names(random.SystemRandom())
['VERSION', 'betavariate', 'choice', 'choices', 'expovariate', 'gammavariate', 'gauss', 'gauss_next', 'getrandbits', 'getstate', 'lognormvariate', 'normalvariate', 'paretovariate', 'randint', 'random', 'randrange', 'sample', 'seed', 'setstate', 'shuffle', 'triangular', 'uniform', 'vonmisesvariate', 'weibullvariate']
We see that it includes many of the functions available in the random library.
Examples
We can obtain a random number in the range [0, 1) extracted from a uniform distribution with the following code:
random.SystemRandom().random()
0.012833647854822439
Similarly, we can obtain a random integer number in the range [11, 16] extracted from a uniform distribution with the following code:
random.SystemRandom().randint(11, 16)
13
