Re: [Numpy-discussion] argsort memory problem?

2008-01-30 Thread Oriol Vendrell
* Robin [EMAIL PROTECTED] [2008-01-29 19:23:11 +]: On Jan 29, 2008 7:16 PM, Lou Pecora [EMAIL PROTECTED] wrote: Hmmm... Interesting. I am using Python 2.4.4. It would be nice to have other Mac people with same/other Python and numpy versions try the argsort bug code. I don't see

Re: [Numpy-discussion] argsort memory problem?

2008-01-29 Thread Lou Pecora
This still occurs in numpy 1.0.3.1 so must have been fixed between that and your 1.0.4-5 version. By the way the memory problem crashes my Intel Mac Book Pro (system 10.4.11) with the gray screen and black dialog box telling me to restart my computer. A very UN-unix like and UN-Mac like way of

Re: [Numpy-discussion] argsort memory problem?

2008-01-29 Thread Alexandre Fayolle
On Tue, Jan 29, 2008 at 02:58:15PM +0100, Oriol Vendrell wrote: Hi all, I've noticed something that looks like an odd behaviour in array.argsort(). # test1 - from numpy import array while True: a=array([8.0,7.0,6.0,5.0,4.0,2.0]) i=a.argsort() #

[Numpy-discussion] argsort memory problem?

2008-01-29 Thread Oriol Vendrell
Hi all, I've noticed something that looks like an odd behaviour in array.argsort(). # test1 - from numpy import array while True: a=array([8.0,7.0,6.0,5.0,4.0,2.0]) i=a.argsort() # --- # test2 - from numpy import array

Re: [Numpy-discussion] argsort memory problem?

2008-01-29 Thread Robin
On Jan 29, 2008 7:16 PM, Lou Pecora [EMAIL PROTECTED] wrote: Hmmm... Interesting. I am using Python 2.4.4. It would be nice to have other Mac people with same/other Python and numpy versions try the argsort bug code. I don't see any memory leak with the test code. Mac OS X 10.5.1 Python

Re: [Numpy-discussion] argsort memory problem?

2008-01-29 Thread Lou Pecora
Hmmm... Interesting. I am using Python 2.4.4. It would be nice to have other Mac people with same/other Python and numpy versions try the argsort bug code. -- Lou Pecora --- Francesc Altet [EMAIL PROTECTED] wrote: A Tuesday 29 January 2008, Lou Pecora escrigué: This still occurs in numpy