On Wed, 2019-03-06 at 12:41 -0800, Stephan Hoyer wrote:
> On Wed, Mar 6, 2019 at 10:10 AM Frederic Bastien > wrote:
> > Hi,
> >
> > I was told recently about the NEP-18. I like it, but I have a
> > comment.
> >
> > At first, it is enabled in a release by setting an environment
> > variable.
>
I like your idea Sebastian. This way it is enabled only when needed and it is
invisible to the user at the same time.
Stefan, does it solve well enough the potential problem you raised?
It still raise the problem that if you import a lib and do not use it, then the
small array would slow down.
Hi Sebastian, Frederic,
On Thu, 07 Mar 2019 14:23:10 +, Frederic Bastien wrote:
> I like your idea Sebastian. This way it is enabled only when needed and it is
> invisible to the user at the same time.
>
> Stefan, does it solve well enough the potential problem you raised?
I don't think so.
I see speed changes vs behavior changes as different category of changes in my
mind.
I understand that now importing library can slow down NumPy for small arrays.
But I have the impression you tell this can also give behavior change.
I do not understand why this could happen. A pure numpy script
Hi Frédéric,
The problem with any environment type variable is that when you disable the
dispatch functionality, all other classes that rely on being able to
override a numpy function stop working as well, i.e., the behaviour of
everything from dask to astropy's Quantity would depend on that setti
On Thu, 2019-03-07 at 18:24 +, Frederic Bastien wrote:
> I see speed changes vs behavior changes as different category of
> changes in my mind.
>
> I understand that now importing library can slow down NumPy for small
> arrays.
> But I have the impression you tell this can also give behavior
>
On Thu, Mar 7, 2019 at 11:18 AM Sebastian Berg
wrote:
> Things seem a bit hard to time with all the C/Python boundaries
> involved, but it seems to me that the actual time spend on the C-side
> is reasonably low. The biggest chunk is probably that we have 4
> function calls instead of 1:
>
> 1.
