(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.vankerkw...@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 __array_function__ 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 > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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