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This changes the underlying adjacency matrix implementation to a single
mixed in + out edge list for each node, instead of separate ones. This
simplifies the undirected_adaptor<> so that its out-edge iterators
become trivial, and also faster.

This fixes issue #344

This adds an option to store a single partitions instead of all its
possible permutations.

This fixes issue #322

This adds support for exact likelihood calculation, correct posterior
sampling of models with nonempty groups, much improved "distributed"
degree-corrected prior, as well as continuous edge covariates.

Make sure to preserve "ignore_degrees" even when the values are
non-Boolean (i.e. 2).