Le 02/03/2012 14:39, Nathaniel Smith a écrit :
> If/when someone adds __float128 support to numpy we should really just
> call it float128
I agree!
Other types could become "float80_128" and "float80_96", as mentioned
about a week ago by Matthew.
--
Pierre
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On Mar 2, 2012 10:48 AM, "Paweł Biernat" wrote:
> The portability is broken for numpy.float128 anyway (as I understand,
> it behaves in different ways on different architectures), so adding a
> new type (call it, say, quad128) that properly supports binary128
> shouldn't be a drawback. Later on, w
Charles R Harris gmail.com> writes:
>
>
> The quad precision library has been there for a while, and quad
precision is also supported by the Intel compiler. I don't know
about MSVC. Intel has been working on adding quad precision to their
hardware for several years and there is an IEEE spec
On Wed, Feb 29, 2012 at 1:09 PM, Francesc Alted wrote:
> On Feb 29, 2012, at 11:52 AM, Pierre Haessig wrote:
>
> > Hi,
> >
> > Le 29/02/2012 16:22, Paweł Biernat a écrit :
> >> Is there any way to interact with Fortran's real(16) (supported by gcc
> >> and Intel's ifort) data type from numpy? By r
Pierre Haessig crans.org> writes:
>
> Hi,
>
> Le 29/02/2012 16:22, Paweł Biernat a écrit :
> > Is there any way to interact with Fortran's real(16) (supported by gcc
> > and Intel's ifort) data type from numpy? By real(16) I mean the
> > binary128 type as in IEEE 754. (In C this data type is expe
On Feb 29, 2012, at 11:52 AM, Pierre Haessig wrote:
> Hi,
>
> Le 29/02/2012 16:22, Paweł Biernat a écrit :
>> Is there any way to interact with Fortran's real(16) (supported by gcc
>> and Intel's ifort) data type from numpy? By real(16) I mean the
>> binary128 type as in IEEE 754. (In C this data
Hi,
Le 29/02/2012 16:22, Paweł Biernat a écrit :
> Is there any way to interact with Fortran's real(16) (supported by gcc
> and Intel's ifort) data type from numpy? By real(16) I mean the
> binary128 type as in IEEE 754. (In C this data type is experimentally
> supported as __float128 (gcc) and _Q
On Wed, Feb 29, 2012 at 10:22 AM, Paweł Biernat wrote:
> I am completely new to Numpy and I know only the basics of Python, to
> this point I was using Fortran 03/08 to write numerical code. However,
> I am starting a new large project of mine and I am looking forward to
> using Python to call som
Hi,
On Wed, Feb 29, 2012 at 12:13 PM, Jonathan Rocher wrote:
> Thanks to your question, I discovered that there is a float128 dtype in
> numpy
>
> In[5]: np.__version__
> Out[5]: '1.6.1'
>
> In[6]: np.float128?
> Type: type
> Base Class:
> String Form:
> Namespace: Interactive
> File:
> /
Thanks to your question, I discovered that there is a float128 dtype in
numpy
In[5]: np.__version__
Out[5]: '1.6.1'
In[6]: np.float128?
Type: type
Base Class:
String Form:
Namespace: Interactive
File:
/Library/Frameworks/Python.framework/Versions/7.2/lib/python2.7/site-packages/numpy/__in
I am completely new to Numpy and I know only the basics of Python, to
this point I was using Fortran 03/08 to write numerical code. However,
I am starting a new large project of mine and I am looking forward to
using Python to call some low level Fortran code responsible for most
of the intensive n
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