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Agreed. As discussed somewhere in #261, I think the mask argument should be a 2D numpy array with shape (N, 2) so that we would mask out two regions with something like
ts.diversity(mask=[(s1, e1), (s2, e2)])
We can use the recently added interval operations in util.py to parse these mask arguments.
As discussed, we're not sure when these are needed though. I'm provisionally adding them to a new 0.2.3 milestone, but we can promote to 0.2.2 if we want.
This is going to be necessary for stdpopsim. We can do it easily in python at first as I did here.
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