[Numpy-discussion] NEP: Dispatch Mechanism for NumPy’s high level API (original) (raw)

Marten van Kerkwijk m.h.vankerkwijk at gmail.com
Fri Jun 8 19:49:13 EDT 2018

and in particular how the implementation finds out where its own instances

are located.

I think we've discussed this before, but I don't think this is feasible to solve in general given the diversity of wrapped APIs. If you want to find the arguments in which a class' own instances appear, you will need to do that in your overloaded function. That said, if merely pulling out the flat list of arguments that are checked for and/or implement arrayfunction would be enough, we can probably figure out a way to expose that information.

In the end, somewhere inside the "dance", you are checking for __array_function - it would seem to me that at that point you know exactly where you are, and it would not be difficult to something like

types[new_type] += [where_i_am]

(where here I assume types is a defaultdict(list)) - has the set of types in keys and locations as values.

But easier to discuss whether this is easy with some sample code to look at!

-- Marten -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20180608/0b60a30e/attachment.html>

More information about the NumPy-Discussion mailing list