On Wed, Jul 16, 2014 at 10:07 AM, Nathaniel Smith <[email protected]> wrote:
> Weirdly, I never received Chuck's original email in this thread. Should > some list admin be informed? > Also weirdly, my reply didn't show up on gmane. Not sure if it got through, so re-sending: It's already in, so do you mean not using? Would help to know what the issue is, because it's finished enough that it's already used in a released version of scipy (in sparse matrices). Ralf I also am not sure what/where Julian's comments were, so I second the call > for context :-). Putting it off until 1.10 doesn't seem like an obviously > bad idea to me, but specifics would help... > > (__numpy_ufunc__ is the new system for allowing arbitrary third party > objects to override how ufuncs are applied to them, i.e. it means > np.sin(sparsemat) and np.sin(gpuarray) can be defined to do something > sensible. Conceptually it replaces the old __array_prepare__/__array_wrap__ > system, which was limited to ndarray subclasses and has major limits on > what you can do. Of course __array_prepare/wrap__ will also continue to be > supported for compatibility.) > -n > On 16 Jul 2014 00:10, "Benjamin Root" <[email protected]> wrote: > >> Perhaps a bit of context might be useful? How is numpy_ufunc different >> from the ufuncs that we know and love? What are the known implications? >> What are the known shortcomings? Are there ABI and/or API concerns between >> 1.9 and 1.10? >> >> Ben Root >> >> >> On Mon, Jul 14, 2014 at 2:22 PM, Charles R Harris < >> [email protected]> wrote: >> >>> Hi All, >>> >>> Julian has raised the question of including numpy_ufunc in numpy 1.9. I >>> don't feel strongly one way or the other, but it doesn't seem to be >>> finished yet and 1.10 might be a better place to work out the remaining >>> problems along with the astropy folks testing possible uses. >>> >>> Thoughts? >>> >>> Chuck >>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> [email protected] >>> http://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >>> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> [email protected] >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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