[Numpy-discussion] argsort memory problem?

[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 handling a
memory problem IMHO.  Let us Mac people not be too
smug.

-- Lou Pecora


--- Alexandre Fayolle <alexandre.fayolle at logilab.fr>
wrote:

> 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()
> > # ---------------------------
> > 
> > # test2 ---------------------
> > from numpy import array
> > a=array([8.0,7.0,6.0,5.0,4.0,2.0])
> > while True:
> >     i=a.argsort()
> > # ---------------------------
> > 
> > 
> > test1 runs out of memory after a few minutes, it
> seems that in each cycle
> > some memory is allocated and never returned back.
> > test2 runs fine until killed.
> > 
> > I'm unsure if I'm missing something or if this
> could be a bug. I'm using
> > numpy 1.0.1 with python 2.4.4 in a debian stable
> system.
> 
> Certainly a bug, but it has been fixed and I cannot
> reproduce in debian
> sid (using 1.0.4-5) 
> 
> -- 
> Alexandre Fayolle                             



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