numpy.random.set_state¶

numpy.random.
set_state
(state)¶ Set the internal state of the generator from a tuple.
For use if one has reason to manually (re)set the internal state of the bit generator used by the RandomState instance. By default, RandomState uses the “Mersenne Twister”[1] pseudorandom number generating algorithm.
 Parameters
 state{tuple(str, ndarray of 624 uints, int, int, float), dict}
The state tuple has the following items:
the string ‘MT19937’, specifying the Mersenne Twister algorithm.
a 1D array of 624 unsigned integers
keys
.an integer
pos
.an integer
has_gauss
.a float
cached_gaussian
.
If state is a dictionary, it is directly set using the BitGenerators state property.
 Returns
 outNone
Returns ‘None’ on success.
See also
Notes
set_state
andget_state
are not needed to work with any of the random distributions in NumPy. If the internal state is manually altered, the user should know exactly what he/she is doing.For backwards compatibility, the form (str, array of 624 uints, int) is also accepted although it is missing some information about the cached Gaussian value:
state = ('MT19937', keys, pos)
.References
 1
M. Matsumoto and T. Nishimura, “Mersenne Twister: A 623dimensionally equidistributed uniform pseudorandom number generator,” ACM Trans. on Modeling and Computer Simulation, Vol. 8, No. 1, pp. 330, Jan. 1998.