The singleton RandomState instance exposed in the numpy.random module
is initialized at startup with the MT19937` bit generator. The new
function ``set_bit_generator allows the default bit generator to be
replaced with a user-provided bit generator. This function has been introduced
to provide a method allowing seamless integration of a high-quality, modern bit
generator in new code with existing code that makes use of the
singleton-provided random variate generating functions. The companion function
get_bit_generator returns the current bit generator being used by the
singleton RandomState. This is provided to simplify restoring
the original source of randomness if required.
The preferred method to generate reproducible random numbers is to use a modern
bit generator in an instance of Generator. The function default_rng
simplifies instantization.
>>> rg = np.random.default_rng(3728973198) >>> rg.random()
The same bit generator can then be shared with the singleton instance so that
calling functions in the random module will use the same bit
generator.
>>> orig_bit_gen = np.random.get_bit_generator() >>> np.random.set_bit_generator(rg.bit_generator) >>> np.random.normal()
The swap is permanent (until reversed) and so any call to functions
in the random module will use the new bit generator. The original
can be restored if required for code to run correctly.
>>> np.random.set_bit_generator(orig_bit_gen)