Thanks for your inputs !!! I have installed python v 2.5 on my Linux machine and executing the tool again.
I would like to share the memory status( using free -m command ) before and after the execution of the tool. BEFORE EXECUTION ================ total used free shared buffers cached Mem: 1006 148 *858* 0 8 92 -/+ buffers/cache: 46 960 Swap: 2047 0 2047 AFTER EXECUTION =============== total used free shared buffers cached Mem: 1006 940 *66* 0 49 846 -/+ buffers/cache: 44 962 Swap: 2047 0 2047 I am unable to find out why *66 MB* system memory is left after tool execution ? If python does not have memory leaks then where this memory is going ? I have explored few urls (as given below) related to memory leak in python : http://www.nightmare.com/medusa/memory-leaks.html http://mail.python.org/pipermail/tutor/1999-April/000162.html Please comment !!! -----Original Message----- *From:* [EMAIL PROTECTED] [mailto: [EMAIL PROTECTED] *On Behalf Of *tsuraan *Sent:* 16 March 2008 8:27 AM *To:* python-list@python.org *Subject:* Re: Urgent : How to do memory leaks detection in python ? > Python doesn't have memory leaks. Yeah, interesting bit of trivia: python is the world's only non-trivial program that's totally free of bugs. Pretty exciting! But seriously, python 2.4, at least, does have some pretty trivially exposed memory leaks when working with strings. A simple example is this: >>> letters = [chr(c) for c in range(ord('a'), ord('z'))+range(ord('A'), ord('Z'))] >>> ary = [] >>> for a in letters: ... for b in letters: ... for c in letters: ... for d in letters: ... ary.append(a+b+c+d) ... >>> del(ary) >>> import gc >>> gc.collect() 0 The VM's memory usage will never drop from its high point of (on my computer) ~200MB. Since you're using GIS data, this could be what you're running into. I haven't been able to upgrade my systems to python 2.5, but from my tests, that version did not have that memory leak. Nobody seems interesting in backporting fixes from 2.5 to 2.4, so you're probably on your own in that case as well, if upgrading to python 2.5 isn't an option or isn't applicable to your situation.
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