Ray Schumacher wrote:
> At 05:22 AM 10/9/2007, David Cournapeau wrote:
>
>> Could not this be because you compiled the posh sources with a
>> compiler/runtime which is different than the other extensions and python
>> interpreter ?
>>
>
> It definitely was - since my 2.4 wanted the free 7.1
# numpyShared.py
import numpy as N
def arrSharedMemory(shape, dtype, tag="PySharedMemory", access=None):
"""
Windows only !
share memory between different processes if same `tag` is used.
"""
itemsize = N.dtype(dtype).itemsize
count = N.product(shape)
size = cou
Ray S wrote:
> Yes, a different methodology attempt. It would be interesting to know
> anyway how to create a numpy array from an address; it's probably
> buried in the undocumented C-API that I don't grok, and likely
> frowned upon.
Make a dummy object that exposes the __array_interface__ att
On 10/9/07, Sebastian Haase replied:
> > Did you find that locks
> > or semaphores were needed?
> Maybe that's why it crashed ;-) !? But for simple use it seems
fine.
I just did some code (below) that does read/write to the array AFAP,
and there is no crash, or any other issue (Win2000, py2.
How can I get the line number of where a numpy warning message is
envoked in my code?
Cheers
Tommy
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Hello,
As a converting MATLAB user I am bringing over some of my code. A core
function I need is to sample the probability distribution of a given set of
data. Sometimes these sets are large so I would like to make it as efficient
as possible. (the data are integers representing members of a discr
On 10/9/07, Ray Schumacher <[EMAIL PROTECTED]> wrote:
> At 05:22 AM 10/9/2007, David Cournapeau wrote:
> >Could not this be because you compiled the posh sources with a
> >compiler/runtime which is different than the other extensions and python
> >interpreter ?
>
> It definitely was - since my 2.4
At 05:22 AM 10/9/2007, David Cournapeau wrote:
>Could not this be because you compiled the posh sources with a
>compiler/runtime which is different than the other extensions and python
>interpreter ?
It definitely was - since my 2.4 wanted the free 7.1 compiler, I (and
anyone else who didn't down
On 10/9/07, Sebastian Haase <[EMAIL PROTECTED]> wrote:
> >
> As I recollect, the tag thing was the key for turning the mmap into a
> "not really memmaped file", that is, a memmap without a corresponding
> file on the disk.
All this is windows specific, I have never seen this tag thing on other OS
On 10/9/07, David Cournapeau <[EMAIL PROTECTED]> wrote:
> Sebastian Haase wrote:
> > Hi!
> > I was in fact experimenting with this. The solution seemed to lie in
> > "simple" memmap as it is implemented in Windows:
> >
> > import numpy as N
> > def arrSharedMemory(shape, dtype, tag="PriithonSharedM
Sebastian Haase wrote:
> Hi!
> I was in fact experimenting with this. The solution seemed to lie in
> "simple" memmap as it is implemented in Windows:
>
> import numpy as N
> def arrSharedMemory(shape, dtype, tag="PriithonSharedMemory"):
> """
> Windows only !
> share memory between dif
Alan G Isaac schrieb:
> On Mon, 8 Oct 2007, Robin apparently wrote:
>> However in my code (I am converting from MATLAB) it is
>> important to maintain 2d arrays, and keep the difference
>> between row and column vectors.
>
> How about using matrices?
> help(numpy.mat)
>
> hth,
> Alan Isaac
>
Hi!
I was in fact experimenting with this. The solution seemed to lie in
"simple" memmap as it is implemented in Windows:
import numpy as N
def arrSharedMemory(shape, dtype, tag="PriithonSharedMemory"):
"""
Windows only !
share memory between different processes if same `tag` is used.
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