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# numpy.random.RandomState.set_state

`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 “Mersenne Twister”[R167] pseudo-random number generating algorithm.

  Parameters : | state : tuple(str, ndarray of 624 uints, int, int, float) The state tuple has the following items: the string ‘MT19937’, specifying the Mersenne Twister algorithm. a 1-D array of 624 unsigned integers `keys`. an integer `pos`. an integer `has_gauss`. a float `cached_gaussian`.
  Returns : | out : None Returns ‘None’ on success.

  See also

  `get_state`

  Notes

  `set_state` and `get_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

  [R167] | (1, 2) M. Matsumoto and T. Nishimura, “Mersenne Twister: A 623-dimensionally equidistributed uniform pseudorandom number generator,” ACM Trans. on Modeling and Computer Simulation, Vol. 8, No. 1, pp. 3-30, Jan. 1998.

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