On Tue, Jul 2, 2019 at 1:46 AM Juan Nunez-Iglesias <jni@fastmail.com> wrote:
I'm also wondering where the list of functions that must be implemented can be found, so that libraries like dask and CuPy can be sure that they have a complete implementation, and further typeerrors won't be raised with their arrays.

This is a good question. We don't have a master list currently.

In practice, I would be surprised if there is ever more than exactly one full implementation of NumPy's full API. We added dispatch with __array_function__ even to really obscure corners of NumPy's API, e.g., np.lib.scimath.

The short answer right now is "Any publicly exposed function that says it takes array-like arguments, aside from functions specifically for coercing to NumPy arrays and the functions in numpy.testing."