flopscope.numpy.random.set_state

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]_ pseudo-random number generating algorithm.

state:{tuple(str, ndarray of 624 uints, int, int, float), dict}

The state tuple has the following items:

1. the string 'MT19937', specifying the Mersenne Twister algorithm.

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

3. an integer pos.

4. an integer has_gauss.

5. a float cached_gaussian.

If state is a dictionary, it is directly set using the BitGenerators state property.

out:None

Returns 'None' on success.

• get_state

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).