It's pretty natural to want to do len(array) as a shorthand for array.shape[0], but since some of the numpydantic classes are passthrough proxy objects, they don't implement all the dunder methods of the classes they wrap (though they should attempt to via __getattr__).
This PR adds __len__ to the two interfaces that are missing it, and adds fixtures and makes a testing module specifically for testing dunder methods that should be true across all interfaces. Previously we have had fixtures that test all of a set of dtype and shape cases for each interface, but we haven't had a way of asserting that something should be true for all interfaces. There is a certain combinatoric explosion when we start testing across all interfaces, for all input types, for all dtype and all shape cases, but for now numpydantic is fast enough that this doesn't matter <3
It's pretty natural to want to do
len(array)as a shorthand forarray.shape[0], but since some of the numpydantic classes are passthrough proxy objects, they don't implement all the dunder methods of the classes they wrap (though they should attempt to via__getattr__).This PR adds
__len__to the two interfaces that are missing it, and adds fixtures and makes a testing module specifically for testing dunder methods that should be true across all interfaces. Previously we have had fixtures that test all of a set of dtype and shape cases for each interface, but we haven't had a way of asserting that something should be true for all interfaces. There is a certain combinatoric explosion when we start testing across all interfaces, for all input types, for all dtype and all shape cases, but for now numpydantic is fast enough that this doesn't matter <3