Hello-
Is there a way to code a callback to python from
fortran in a way such that the calling routine does
not need the callback function as an input argument?
I'm using the Intel fortran compiler for linux with
numpy 1.0.4 and f2py gives version 2_4422. My modules
crash on loading because the
Hi,
Since some people had problems with RHEL/CENTOS, and since the
opensuse build system does provide facilities to build rpms for RHEL and
CENTOS for some time, I quickly updated the ashigabou repository to
handle those distributions. I also added opensuse 10.3 and FC 8, but
those did not
see this page I found in my del.icio.us links, sorry I forgot to mention it
at the time of the thread:
http://www.owlnet.rice.edu/~elec301/Projects99/faces/code.html
All the best
On Mon, Mar 10, 2008 at 1:37 AM, royG <[EMAIL PROTECTED]> wrote:
> friends
> I am learning eigenfaces using numpy .
I found this in my del.icio.us links, sorry I forgot to mention it at the
time:
http://www.owlnet.rice.edu/~elec301/Projects99/faces/code.html
All the best
On Thu, Mar 6, 2008 at 10:39 AM, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
> ok..I coded everything again from scratch..looks like i was
On 11/03/2008, Dinesh B Vadhia <[EMAIL PROTECTED]> wrote:
> Hello! I'm reading a text file with two numbers in str format on each line.
> The numbers are converted into integers. Each integer is then assigned to
> a 2-dimensional array ij (see code below). The problem is that neither of
> the
Okay, thanks! I won't be using the multivariate_normal function in my
code, so this should work fine.
--Hoyt
On Tue, Mar 11, 2008 at 3:00 PM, Robert Kern <[EMAIL PROTECTED]> wrote:
>
> On Tue, Mar 11, 2008 at 4:18 PM, Hoyt Koepke <[EMAIL PROTECTED]> wrote:
> > This should be a really quick ques
On Tue, Mar 11, 2008 at 4:18 PM, Hoyt Koepke <[EMAIL PROTECTED]> wrote:
> This should be a really quick question. Is a RandomState object
> thread safe? I'm wanting to use a common RandomState object in a
> multithreaded program, and I need to know if it's necessary to protect
> it with a lock
Hello! I'm reading a text file with two numbers in str format on each line.
The numbers are converted into integers. Each integer is then assigned to a
2-dimensional array ij (see code below). The problem is that neither of the
array assignments work ie. both ij[index, 0] = r and ij[index, 1
This should be a really quick question. Is a RandomState object
thread safe? I'm wanting to use a common RandomState object in a
multithreaded program, and I need to know if it's necessary to protect
it with a lock (which wouldn't be difficult).
Thanks!
--Hoyt
___
On Tue, Mar 11, 2008 at 2:10 PM, Alexander Michael <[EMAIL PROTECTED]> wrote:
> I have a function that I would like to work with both MaskedArray's
> and ndarray's. The only blocker for this particular function is the
> need to create some stand-in data that is appropriately either a
> MaskedArr
On Tue, Mar 11, 2008 at 3:42 PM, Eric Firing <[EMAIL PROTECTED]> wrote:
> I don't know if it works for older versions of numpy, but with svn you
> can simply use the astype() method of the array. If the array is masked
> it seems to work correctly, although it does not update the fill_value
>
Alex,
I don't know if it works for older versions of numpy, but with svn you
can simply use the astype() method of the array. If the array is masked
it seems to work correctly, although it does not update the fill_value
to the default for the new type.
Eric
Alexander Michael wrote:
> I have
I have a function that I would like to work with both MaskedArray's
and ndarray's. The only blocker for this particular function is the
need to create some stand-in data that is appropriately either a
MaskedArray or an ndarray. Currently I have:
dummy = numpy.ones(data.shape, dtype=bool)
where da
A Tuesday 11 March 2008, Charles R Harris escrigué:
> On Tue, Mar 11, 2008 at 4:00 AM, Francesc Altet <[EMAIL PROTECTED]>
wrote:
> > A Tuesday 11 March 2008, Francesc Altet escrigué:
> > > The thing that makes uint64 so special is that it is the largest
> > > integer (in current processors) that h
p3 is not compiled with the SSE2 instructions (it stands for Pentium 3 and
is needed for P3 and Athlon XP processors).
Matthieu
2008/3/11, mark <[EMAIL PROTECTED]>:
>
> Hello - Anybody know the difference between
> numpy-1.0.4.win32-py2.4.exe
> and
> numpy-1.0.4.win32-p3-py2.4.exe
>
> Probably a
Hello - Anybody know the difference between
numpy-1.0.4.win32-py2.4.exe
and
numpy-1.0.4.win32-p3-py2.4.exe
Probably a simple question. Thanks for your help, Mark
___
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On Tue, Mar 11, 2008 at 4:00 AM, Francesc Altet <[EMAIL PROTECTED]> wrote:
> A Tuesday 11 March 2008, Francesc Altet escrigué:
> > The thing that makes uint64 so special is that it is the largest
> > integer (in current processors) that has a native representation
> > (i.e. the processor can opera
Hi Marteen,
A Monday 10 March 2008, escriguéreu:
> > Solution 1) is appealing because is how NumPy works, but I don't
> > personally like the upcasting to float64. First of all, because
> > you transparently convert numbers potentially loosing the least
> > significant
> > digits. Second, becaus
A Tuesday 11 March 2008, Francesc Altet escrigué:
> The thing that makes uint64 so special is that it is the largest
> integer (in current processors) that has a native representation
> (i.e. the processor can operate directly on them, so they can be
> processed very fast), and besides, there is no
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