Enforcing determinism when using PRNGs?

[sdmccabe]

It's not a big deal for now but ultimately we'll want to be able to set seeds for the rewiring algorithms. I see a few possibilities for this:

1. Use the standard library's random, and set the seed using random.seed($SEED). I don't like this because it mutates global state.
2. Use numpy's Generator object. This is probably preferable but a bit heavy (and tricky for users).
3. Add a parameter for passing a random seed at initialization, store a random.Random as an attribute, and call that to generate random numbers.
4. Do the same, with a np.random.Generator.

I think #3 could look like the following:

class BaseRewirer:
	<...>
	def __init__(seed: Optional[int] = None):
		self.rand = random.Random(seed)
		
	<...>
	def rewire(self, G, **kwargs):
		# selecting a random edge
		rand_edge = rand.choice(list(G.edges))
	<...>

The challenge with using np.random.Generator is that numpy randomness wants to return arrays, which we don't always want (e.g., when sampling edges).