Hi Nathan,
That is a good point: Yes, one can leave __array_prepare__ and
__array_wrap__ in place: only for ufuncs will they be ignored if
__array_ufunc__ is present; __array_wrap__ in particular will still be
used by quite a lot of other numpy functions (other use of
__array_prepare__ is usually
Thanks for linking to the updated NEP, I've been looking for a good
overview of this discussion. Up until now I haven't wanted to wade through
the extensive discussion on this topic.
I'm curious, if I want to simultaneously support older Numpy versions as
well as newer versions, will I be able to
Hi All,
Following Nathaniel's request, I have made a PR that changes the
original NEP to describe the current implementation.
* PR at https://github.com/charris/numpy/pull/9
* Rendered relevant page at
http://www.astro.utoronto.ca/~mhvk/numpy-doc/neps/ufunc-overrides.html
It may still be somewhat
I agree with Nathaniel -- let's finish the design doc first.
On Thu, Mar 30, 2017 at 10:08 PM, Nathaniel Smith wrote:
> On Thu, Mar 30, 2017 at 7:40 PM, Charles R Harris
> wrote:
> > Hi All,
> >
> > Just a note that the __array_ufunc__ PR is ready to merge. If you are
> > interested, you can re
On Thu, Mar 30, 2017 at 7:40 PM, Charles R Harris
wrote:
> Hi All,
>
> Just a note that the __array_ufunc__ PR is ready to merge. If you are
> interested, you can review here.
I want to get this in too, but 24 hours seems like a very short
deadline for getting feedback on such a large and complex
