[Numpy-discussion] Getting C-function pointers from Python to C

Travis Oliphant travis@continuum...
Thu Apr 19 09:17:56 CDT 2012


Thanks for the status update.  A couple of weeks is a fine timeline to wait.

Are you envisioning that the ufuncs in NumPy would have the nativecall attribute?

--
Travis Oliphant
(on a mobile)
512-826-7480


On Apr 19, 2012, at 6:00 AM, Dag Sverre Seljebotn <d.s.seljebotn@astro.uio.no> wrote:

> On 04/12/2012 11:51 PM, Dag Sverre Seljebotn wrote:
>> On 04/12/2012 11:13 PM, Travis Oliphant wrote:
>>> Dag,
>>> 
>>> Thanks for the link to your CEP.  This is the first time I've seen it.   You probably referenced it before, but I hadn't seen it.
>>> 
>>> That CEP seems along the lines of what I was thinking of.    We can make scipy follow that CEP and NumPy as well in places that it needs function pointers.
>>> 
>>> I can certainly get behind it with Numba and recommend it to SciPy (and write the scipy.integrate.quad function to support it).
>>> 
>>> Thanks for the CEP.
>> 
>> Great. I'll pass this message on to the Cython list and see if anybody
>> wants to provide input (but given the scope, it should be minor tweaks
>> and easy to accommodate in whatever code you write).
> 
> Getting back with a status update on this, the thread is still rolling 
> and benchmarks getting taken on the Cython list.
> 
> I think it will take some more time. This CEP will be incredibly 
> important for Cython, e.g. if NumPy starts supporting it then
> 
> from numpy import sin
> cdef double f(double x):
>     return sin(x*x)
> 
> won't be that much slower than early-binding directly with sin.
> 
> It could take another couple of weeks. So for Numba I think just 
> starting with whatever is fastest is the way to go now; and then 
> hopefully one can have the CEP done and things ported over before a 
> Numba or SciPy release gets into the wild without conforming to it.
> 
> Dag
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