On Thu, Apr 19, 2012 at 11:49 PM, Dag Sverre Seljebotn
wrote:
> On 04/20/2012 08:21 AM, Stefan Behnel wrote:
>>
>> Robert Bradshaw, 20.04.2012 02:52:
>>>
>>> On Thu, Apr 19, 2012 at 3:53 AM, mark florisson wrote:
On 19 April 2012 08:17, Dag Sverre Seljebotn wrote:
>
> On 04/19/20
On 04/20/2012 08:49 AM, Dag Sverre Seljebotn wrote:
On 04/20/2012 08:21 AM, Stefan Behnel wrote:
Robert Bradshaw, 20.04.2012 02:52:
On Thu, Apr 19, 2012 at 3:53 AM, mark florisson wrote:
On 19 April 2012 08:17, Dag Sverre Seljebotn wrote:
On 04/19/2012 08:41 AM, Stefan Behnel wrote:
Dag Sver
On 04/20/2012 08:21 AM, Stefan Behnel wrote:
Robert Bradshaw, 20.04.2012 02:52:
On Thu, Apr 19, 2012 at 3:53 AM, mark florisson wrote:
On 19 April 2012 08:17, Dag Sverre Seljebotn wrote:
On 04/19/2012 08:41 AM, Stefan Behnel wrote:
Dag Sverre Seljebotn, 18.04.2012 23:35:
from numpy import s
Robert Bradshaw, 20.04.2012 02:52:
> On Thu, Apr 19, 2012 at 3:53 AM, mark florisson wrote:
>> On 19 April 2012 08:17, Dag Sverre Seljebotn wrote:
>>> On 04/19/2012 08:41 AM, Stefan Behnel wrote:
Dag Sverre Seljebotn, 18.04.2012 23:35:
>
> from numpy import sqrt, sin
>
> cdef d
On Thu, Apr 19, 2012 at 3:53 AM, mark florisson
wrote:
> On 19 April 2012 08:17, Dag Sverre Seljebotn
> wrote:
>> On 04/19/2012 08:41 AM, Stefan Behnel wrote:
>>>
>>> Dag Sverre Seljebotn, 18.04.2012 23:35:
from numpy import sqrt, sin
cdef double f(double x):
return
Nathaniel Smith wrote:
>On Thu, Apr 19, 2012 at 2:18 PM, Dag Sverre Seljebotn
> wrote:
>> On 04/19/2012 01:20 PM, Nathaniel Smith wrote:
>>> @cython.inline
>>> def square(x):
>>> return x * x
>>>
>>> # .specialize is an un-standardized Cython interface
>>> # square_double is an object imple
On Thu, Apr 19, 2012 at 2:18 PM, Dag Sverre Seljebotn
wrote:
> On 04/19/2012 01:20 PM, Nathaniel Smith wrote:
>> @cython.inline
>> def square(x):
>> return x * x
>>
>> # .specialize is an un-standardized Cython interface
>> # square_double is an object implementing the standardized C-callable
On 04/19/2012 01:20 PM, Nathaniel Smith wrote:
On Thu, Apr 19, 2012 at 11:56 AM, Dag Sverre Seljebotn
wrote:
I thought of some drawbacks of getfuncptr:
- Important: Doesn't allow you to actually inspect the supported
signatures, which is needed (or at least convenient) if you want to use an
On 04/19/2012 01:11 PM, Stefan Behnel wrote:
Dag Sverre Seljebotn, 19.04.2012 13:05:
Pure speculation though
I think we should leave speculation to the CPUs. They are quite good at it
these days.
Yes, I agree, given these benchmarks, we should focus on
a) Usability in C
b) Simplicity
c)
Vitja Makarov, 19.04.2012 10:35:
> I've tried to implement trivial approach for CyFunction. Trivial means
> that function accepts PyObjects as arguments and returns an PyObject,
> so trivial signature is only one integer: 1 + len(args). If signature
> match occurs dirct C-function is called and PyO
Vitja Makarov, 19.04.2012 13:20:
> Ok, np.sqrt() supports different signatures how would cython know
> which C-function to use?
You might want to read through this mailing list thread and the CEP.
Stefan
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On Thu, Apr 19, 2012 at 11:56 AM, Dag Sverre Seljebotn
wrote:
> I thought of some drawbacks of getfuncptr:
>
> - Important: Doesn't allow you to actually inspect the supported
> signatures, which is needed (or at least convenient) if you want to use an
> FFI library or do some JIT-ing. So an iter
2012/4/19 Dag Sverre Seljebotn :
> On 04/19/2012 10:35 AM, Vitja Makarov wrote:
>>
>> 2012/4/19 Dag Sverre Seljebotn:
>>>
>>> On 04/19/2012 08:41 AM, Stefan Behnel wrote:
Dag Sverre Seljebotn, 18.04.2012 23:35:
>
>
> from numpy import sqrt, sin
>
> cdef double f(d
Dag Sverre Seljebotn, 19.04.2012 13:05:
> Pure speculation though
I think we should leave speculation to the CPUs. They are quite good at it
these days.
Stefan
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On 04/19/2012 12:56 PM, Dag Sverre Seljebotn wrote:
On 04/19/2012 11:07 AM, Nathaniel Smith wrote:
On Wed, Apr 18, 2012 at 10:58 PM, Dag Sverre Seljebotn
wrote:
On 04/18/2012 11:35 PM, Dag Sverre Seljebotn wrote:
On 04/17/2012 02:24 PM, Dag Sverre Seljebotn wrote:
On 04/13/2012 12:11 AM, D
On 04/19/2012 11:07 AM, Nathaniel Smith wrote:
On Wed, Apr 18, 2012 at 10:58 PM, Dag Sverre Seljebotn
wrote:
On 04/18/2012 11:35 PM, Dag Sverre Seljebotn wrote:
On 04/17/2012 02:24 PM, Dag Sverre Seljebotn wrote:
On 04/13/2012 12:11 AM, Dag Sverre Seljebotn wrote:
Travis Oliphant recentl
On 19 April 2012 08:17, Dag Sverre Seljebotn wrote:
> On 04/19/2012 08:41 AM, Stefan Behnel wrote:
>>
>> Dag Sverre Seljebotn, 18.04.2012 23:35:
>>>
>>> from numpy import sqrt, sin
>>>
>>> cdef double f(double x):
>>> return sqrt(x * x) # or sin(x * x)
>>>
>>> Of course, here one could get the
On 04/19/2012 10:35 AM, Vitja Makarov wrote:
2012/4/19 Dag Sverre Seljebotn:
On 04/19/2012 08:41 AM, Stefan Behnel wrote:
Dag Sverre Seljebotn, 18.04.2012 23:35:
from numpy import sqrt, sin
cdef double f(double x):
return sqrt(x * x) # or sin(x * x)
Of course, here one could get the p
On Wed, Apr 18, 2012 at 10:58 PM, Dag Sverre Seljebotn
wrote:
> On 04/18/2012 11:35 PM, Dag Sverre Seljebotn wrote:
>>
>> On 04/17/2012 02:24 PM, Dag Sverre Seljebotn wrote:
>>>
>>> On 04/13/2012 12:11 AM, Dag Sverre Seljebotn wrote:
Travis Oliphant recently raised the issue on the NumPy
2012/4/19 Dag Sverre Seljebotn :
> On 04/19/2012 08:41 AM, Stefan Behnel wrote:
>>
>> Dag Sverre Seljebotn, 18.04.2012 23:35:
>>>
>>> from numpy import sqrt, sin
>>>
>>> cdef double f(double x):
>>> return sqrt(x * x) # or sin(x * x)
>>>
>>> Of course, here one could get the pointer in the modu
On 04/19/2012 08:41 AM, Stefan Behnel wrote:
Dag Sverre Seljebotn, 18.04.2012 23:35:
from numpy import sqrt, sin
cdef double f(double x):
return sqrt(x * x) # or sin(x * x)
Of course, here one could get the pointer in the module at import time.
That optimisation would actually be very w
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