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

Stephan Hoyer shoyer at gmail.com
Fri Jun 8 20:10:13 EDT 2018

(offlist)

To clarify, by "where_i_am" you mean something like the name of the argument where it was found?

On Fri, Jun 8, 2018 at 4:49 PM Marten van Kerkwijk < m.h.vankerkwijk at gmail.com> wrote:

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 _arrayfunction - 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[newtype] += [whereiam]_ _ (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

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