> I dont know if this made anything any clearer. However, a simple
> example may be clearer:
thanks Arnar for the kind response,now things are a lot clearer...will
try out in code ..
D
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Lisandro Dalcin wrote:
> On 3/1/08, Charles R Harris <[EMAIL PROTECTED]> wrote:
>> So they differ in the least significant bit. Not surprising, I expect the
>> Fortran compiler might well perform operations in different order,
>> accumulate in different places, etc. It might also accumulate in high
Robert Kern wrote:
> On Sat, Mar 1, 2008 at 6:45 PM, Lisandro Dalcin <[EMAIL PROTECTED]> wrote:
>> Sorry for the stupid question, but my English knowledge just covers
>> reading and writting (the last, not so good)
>>
>> At the very begining, http://scipy.org/ says
>>
>> SciPy (pronounced "Sigh
Travis E. Oliphant wrote:
> Neal Becker wrote:
>
>> Travis E. Oliphant wrote:
>>
>>
>>
>>
>> The code for this is a bit hard to understand. It does appear that it only
>> searches for a conversion on the 2nd argument. I don't think that's
>> desirable behavior.
>>
>> What I'm wondering is,
Travis E. Oliphant wrote:
> Sameer DCosta wrote:
>
>> Hi,
>>
>> I'm having trouble renaming record array fields if they contain object
>> arrays in them. I followed the solutions posted by Robert Kern and
>> Stefan van der Walt (Thanks again) but it doesn't look like this
>> method works in all
Am 02.03.2008 um 04:24 schrieb Travis E. Oliphant:
if(__builtin_expect(fpstatus,0)) \
Why the use of __builtin_expect here instead of fpstatus == 0?
Oops, nevertheless it should rather be something like
if(__builtin_expect(fpstatus == 0,1))
or
if(__builtin_expect(fpstatus,0) == 0)
sorry f
Am 02.03.2008 um 04:24 schrieb Travis E. Oliphant:
Thomas Grill wrote:
Hi all,
i did some profiling on OS X/Intel 10.5 (numpy 1.0.4) and was
surprised to find calls to the system function feclearexcept to be by
far the biggest cpu hog, taking away about 30% of the cpu in my case.
Would it be p
Thomas Grill wrote:
> Hi all,
> i did some profiling on OS X/Intel 10.5 (numpy 1.0.4) and was
> surprised to find calls to the system function feclearexcept to be by
> far the biggest cpu hog, taking away about 30% of the cpu in my case.
> Would it be possible to change UFUNC_CHECK_STATUS in ufu
Hi all,
i did some profiling on OS X/Intel 10.5 (numpy 1.0.4) and was
surprised to find calls to the system function feclearexcept to be by
far the biggest cpu hog, taking away about 30% of the cpu in my case.
Would it be possible to change UFUNC_CHECK_STATUS in ufuncobject.h in
a way that
On Sat, Mar 1, 2008 at 6:45 PM, Lisandro Dalcin <[EMAIL PROTECTED]> wrote:
> Sorry for the stupid question, but my English knowledge just covers
> reading and writting (the last, not so good)
>
> At the very begining, http://scipy.org/ says
>
> SciPy (pronounced "Sigh Pie") ...
>
> Then, for th
Sorry for the stupid question, but my English knowledge just covers
reading and writting (the last, not so good)
At the very begining, http://scipy.org/ says
SciPy (pronounced "Sigh Pie") ...
Then, for the other guy, this assertion
NumPy (pronounced "Num Pie", "Num" as in "Number") ...
whould
On 3/1/08, Charles R Harris <[EMAIL PROTECTED]> wrote:
> So they differ in the least significant bit. Not surprising, I expect the
> Fortran compiler might well perform operations in different order,
> accumulate in different places, etc. It might also accumulate in higher
> precision registers or
2008/3/1 Lisandro Dalcin <[EMAIL PROTECTED]>:
> Dear Charles,
>
> As I said, I have no time to code the pure Python+numpy nonlinear and
> linear loops, and the matrix-free stuff to mimic the PETSc
> implementation. However, I post the F90 code and the numpy code, and a
> small script for testing w
Dear Charles,
As I said, I have no time to code the pure Python+numpy nonlinear and
linear loops, and the matrix-free stuff to mimic the PETSc
implementation. However, I post the F90 code and the numpy code, and a
small script for testing with random input. When I have some spare
time, I'll try to
On 3/1/08, Pauli Virtanen <[EMAIL PROTECTED]> wrote:
> A silly question: did you check directly that the pure-numpy code and
> the F90 code give the same results for the Jacobian-vector product
> J(z0) z for some randomly chosen vectors z0, z?
No, I did not do that. However, I've checked the out
On Sat, Mar 1, 2008 at 12:43 PM, Lisandro Dalcin <[EMAIL PROTECTED]> wrote:
> Dear all,
>
> I want to comment some extrange stuff I'm experiencing with numpy.
> Please, let me know if this is expected and known.
>
> I'm trying to solve a model nonlinear PDE, 2D Bratu problem (-Lapacian
> u - alpha
Hi,
la, 2008-03-01 kello 16:43 -0300, Lisandro Dalcin kirjoitti:
> I want to comment some extrange stuff I'm experiencing with numpy.
> Please, let me know if this is expected and known.
>
> I'm trying to solve a model nonlinear PDE, 2D Bratu problem (-Lapacian
> u - alpha * exp(u), homogeneus bo
Dear all,
I want to comment some extrange stuff I'm experiencing with numpy.
Please, let me know if this is expected and known.
I'm trying to solve a model nonlinear PDE, 2D Bratu problem (-Lapacian
u - alpha * exp(u), homogeneus bondary conditions), using the simple
finite differences with a 5-p
On Sat, Mar 1, 2008 at 2:43 PM, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
> hi
> i have a set of images of faces which i make into a 2d array using
> numpy.ndarray
> each row represents a face image
> faces=
> [[ 173. 87. ... 88. 165.]
> [ 158. 103. .. 73. 143.]
> [ 180. 87
On Sat, Mar 1, 2008 at 8:27 AM, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
>
> > This example assumes that facearray is an ndarray.(like you described
> > in original post ;-) ) It looks like you are using a matrix.
>
> hi Arnar
> thanks ..
> a few doubts however
>
> 1.when i use say 10 ima
hi
i have a set of images of faces which i make into a 2d array using
numpy.ndarray
each row represents a face image
faces=
[[ 173. 87. ... 88. 165.]
[ 158. 103. .. 73. 143.]
[ 180. 87. .. 55. 143.]
[ 155. 117. .. 93. 155.]]
from which i can get the mean image =>
avgface=a
On Thu, Feb 28, 2008 at 1:21 PM, Glen W. Mabey <[EMAIL PROTECTED]> wrote:
> Hello,
>
> I'm using svn numpy and get the following error upon executing
>
> /usr/local/bin/python2.5 setup.py config --noisy
> --cc=/opt/intel/cce/10.0.025/bin/icc --compiler=intel --fcompiler=intel
> build_clib buil
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