numpy.random.mtrand.RandomState.set_state¶
method

RandomState.
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:  out : None
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.