IIRC there allegedly exist platforms where separate compilation doesn't
work right? I'm happy to get rid of it if no one speaks up to defend such
platforms, though, we can always add it back later. One case was for
statically linking numpy into the interpreter, but I'm skeptical about how
much we s
On Fri, Apr 3, 2015 at 9:00 PM, Charles R Harris
wrote:
> Hi All,
>
> Just to raise the question if these two options should be removed at some
> point? The current default value for both is 0, so we have separate
> compilation and relaxed strides checking by default.
>
>
Oops, default value is 1
Hi All,
Just to raise the question if these two options should be removed at some
point? The current default value for both is 0, so we have separate
compilation and relaxed strides checking by default.
Chuck
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On Fri, Apr 3, 2015 at 4:54 PM, Nathaniel Smith wrote:
> Unfortunately, AFAICT this means our only options here are to have
> some kind of backcompat break in numpy, some kind of backcompat break
> in pandas, or to do nothing and continue indefinitely with the status
> quo where the same indexing
On Apr 1, 2015 2:17 AM, "R Hattersley" wrote:
>
> There are two different interpretations in common use of how to handle
> multi-valued (array/sequence) indexes. The numpy style is to consider all
> multi-valued indices together which allows arbitrary points to be extracted.
> The orthogonal st
On 2015/04/03 7:59 AM, Jaime Fernández del Río wrote:
> I have an all-Pyhton implementation of an OrthogonalIndexer class,
> loosely based on Stephan's code plus some axis remapping, that provides
> all the needed functionality for getting and setting with orthogonal
> indices.
Excellent!
>
> Wou
On Fri, Apr 3, 2015 at 10:59 AM, Jaime Fernández del Río <
jaime.f...@gmail.com> wrote:
> I have an all-Pyhton implementation of an OrthogonalIndexer class, loosely
> based on Stephan's code plus some axis remapping, that provides all the
> needed functionality for getting and setting with orthogo
I have an all-Pyhton implementation of an OrthogonalIndexer class, loosely
based on Stephan's code plus some axis remapping, that provides all the
needed functionality for getting and setting with orthogonal indices.
Would those interested rather see it as a gist to play around with, or as a
PR ad
03.04.2015, 04:09, josef.p...@gmail.com kirjoitti:
[clip]
> I think numpy indexing is not too difficult and follows a consistent
> pattern, and I completely avoid mixing slices and index arrays with
> ndim > 2.
>
> I think it should be DOA, except as a discussion topic for numpy 3000.
If you chan
