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 any memory leak with the test code.
 Mac OS X 10.5.1
 Python 2.5.1 (not apple one)
 Numpy 1.0.5.dev4722

I have run the test1 code again, this time on my laptop PC (no MAC-user,
sorry) using the last stable numpy release. The memory problem does
_not_ show up now.  I'm running with:
 - Ubuntu Feisty (kernel 2.6.17-12-generic i686)
 - python 2.5.1 (Feisty package)
 - numpy 1.0.4 (compiled with gcc version 4.1.2)

However, the memory leak appears on my laptop if I use python 2.5.1 with
numpy 1.0.1. At least here, this seems to be an issue dependent only on
the numpy version, and a solved one.

-- oriol
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[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
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.

Any suggestions?

Thanks,

-- 
Oriol Vendrell
[EMAIL PROTECTED]
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