Agreed.
Could someone with wiki admin access please delete the Ctypes page and
rename type Ctypes2 page to Ctypes? As far as I know, Ctypes2 is really
what you want to look at (at least it was, last time I worked on it).
Thanks.
Cheers,
Albert
On Mon, 14 May 2007, Stefan van der Walt wrote:
On Mon, May 14, 2007 at 11:44:11AM -0700, Ray S wrote:
> While investigating ctypes and numpy for sharing, I saw that the
> example on
> http://www.scipy.org/Cookbook/Ctypes#head-7def99d882618b52956c6334e08e085e297cb0c6
> does not quite work. However, with numpy.version.version=='1.0b1',
> Active
Ray S wrote:
> print N.diag(x)
>
> Works for me...
>
> I can then do:
> >>> import numpy.core.multiarray as MA
> >>> xBuf = MA.getbuffer(x)
> >>> z = MA.frombuffer(xBuf).reshape((3,3))
>
I see this kind of importing used more often than it should be.
It is dangerous to import directly fro
While investigating ctypes and numpy for sharing, I saw that the
example on
http://www.scipy.org/Cookbook/Ctypes#head-7def99d882618b52956c6334e08e085e297cb0c6
does not quite work. However, with numpy.version.version=='1.0b1',
ActivePython 2.4.3 Build 12:
import numpy as N
from ctypes import *
x
On 5/12/07, Andrew Straw <[EMAIL PROTECTED]> wrote:
Charles R Harris wrote:
>
> I'll pitch in a few donuts (and my eternal gratitude) for an
> example of
> shared memory use using numpy arrays that is cross platform, or at
> least
> works in linux, mac, and windows.
>
>
> I w
Charles R Harris wrote:
>
> I'll pitch in a few donuts (and my eternal gratitude) for an
> example of
> shared memory use using numpy arrays that is cross platform, or at
> least
> works in linux, mac, and windows.
>
>
> I wonder if you could mmap a file and use it as common mem
Andrew added:
I'll pitch in a few donuts (and
my eternal gratitude) for an example of
shared memory use using numpy arrays that is cross platform, or at
least works in linux, mac, and windows.
I thought that getting the address from the buffer() of the array and
creating a new one from it in th
On 5/12/07, Andrew Straw <[EMAIL PROTECTED]> wrote:
Ray Schumacher wrote:
>
> After Googling for examples on this, in the Cookbook
> http://www.scipy.org/Cookbook/Multithreading
> MPI and POSH (dead?), I don't think I know the answer...
> We have a data collection app running on dual core proces
Ray Schumacher wrote:
>
> After Googling for examples on this, in the Cookbook
> http://www.scipy.org/Cookbook/Multithreading
> MPI and POSH (dead?), I don't think I know the answer...
> We have a data collection app running on dual core processors; I start
> one thread collecting/writing new data
After Googling for examples on this, in the Cookbook
http://www.scipy.org/Cookbook/Multithreading
MPI and POSH (dead?), I don't think I know the answer...
We have a data collection app running on dual core processors; I start
one thread collecting/writing new data directly into a numpy circular
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