NumPy

numpy.random.get_state

numpy.random.get_state()

Return a tuple representing the internal state of the generator.

For more details, see set_state.

Returns
out{tuple(str, ndarray of 624 uints, int, int, float), dict}

The returned tuple has the following items:

  1. the string ‘MT19937’.

  2. a 1-D array of 624 unsigned integer keys.

  3. an integer pos.

  4. an integer has_gauss.

  5. a float cached_gaussian.

If legacy is False, or the BitGenerator is not NT19937, then state is returned as a dictionary.

legacybool

Flag indicating the return a legacy tuple state when the BitGenerator is MT19937.

See also

set_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.

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