On Sun, Apr 28, 2019 at 5:02 AM Nathaniel Smith <n...@pobox.com> wrote:
> On Sat, Apr 27, 2019 at 7:46 PM Stephan Hoyer <sho...@gmail.com> wrote: > > Worst, "__wrapped__" would be difficult to search for, because it > already means something in Python (referring to functools.wrapped). At > least "__numpy_implementation__" and "__skipping_array_function__" are both > unique tokens without any existing meaning. > > It's not just functools.wrapped – there's definitely other code out > there that reads/writes __wrapped__ attributes on arbitrary callables > and tries to do something clever with it. Debian apparently has 182 > packages that contain the token __wrapped__ in their source code [1]. > There's a real risk that some of this code will think it knows what to > do with numpy's __wrapped__ and be wrong, or that new code that's > trying to skip __array_function__ dispatch will accidentally call > someone else's __wrapped__ without realizing. > Good point, I didn't think about that. One other thought: the proposal in this thread is about skipping the override mechanism for numpy functions. NEP 18 reserves the freedom to swap out __array_function__ with __array_ufunc__ if we make something a ufunc. So __skipping_array_function__ is too limited a name, __skipping_override__ or similar would be better. And then make __array_ufunc__ respect it as well. Cheers, Ralf
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