In order to make sure all my random number generators have good independence, it is a good practice to use a single shared instance (because it is already known to have good properties). A less-desirable alternative is to used rng's seeded with different starting states - in this case the independence properties are not generally known.
So I have some fairly deeply nested data structures (classes) that somewhere contain a reference to a RandomState object.
I need to be able to clone these data structures, producing new independent copies, but I want the RandomState part to be the shared, singleton rs object.
In python, no problem:
--- from numpy.random import RandomState
class shared_random_state (RandomState): def __init__ (self, rs): RandomState.__init__(self, rs)
def __deepcopy__ (self, memo): return self ---
Now I can copy.deepcopy the data structures, but the randomstate part is shared. I just use
rs = shared_random_state (random.RandomState(0))
and provide this rs to all my other objects. Pretty nice!