This release adds a "gufunc" argument to
"mutually_broadcastable_shapes()" (issue #2174), which allows us to
generate shapes which are valid for functions like "numpy.matmul" that
require shapes which are not simply broadcastable.
Thanks to everyone who has contributed to this feature over the last
year, and a particular shout-out to Zac Hatfield-Dodds and Ryan
Soklaski for "mutually_broadcastable_shapes()" and to Ryan Turner for
the downstream hypothesis-gufunc project.
The canonical version of these notes (with links) is on readthedocs.