Ok. I have a RHEL5 Linux box with Python 2.7.1. With Numpy 1.4.1 and 1.5.1 I don't see any leaks. With Numpy git HEAD, I did see a leak -- I submitted a pull request to Numpy here:
https://github.com/numpy/numpy/pull/76 I get the same results (no leaks) running your wx, tk and agg scripts (with the Windows-specific stuff removed). FWIW, I have wxPython 2.8.11.0 and Tkinter rev 81008. So the variables are the platform and the version of Python. Perhaps it's one of those two things? Mike On 04/19/2011 12:34 PM, Caleb Constantine wrote: > On Tue, Apr 19, 2011 at 1:01 PM, Michael Droettboom<md...@stsci.edu> wrote: > >> There's a lot of moving parts here. Running your script again is >> showing some leaks in valgrind that weren't there before, but a number >> of the underlying libraries have changed on my system since then (memory >> leaks tend to be Whac-a-mole sometimes...) >> >> Which versions of the following are you running, and on what platform -- >> some variant of MS-Windows if I recall correctly? >> >> Python >> Numpy >> wxPython >> Tkinter >> > Windows XP SP 3 > Python - 2.6.6 > Numpy - 1.4.1 > wxPython - 2.8.11.0 > Tkinter - $Revision: 73770 $ > > I'll install new versions of Numpy and wxPython (and maybe Python) and > try again. > > ------------------------------------------------------------------------------ > Benefiting from Server Virtualization: Beyond Initial Workload > Consolidation -- Increasing the use of server virtualization is a top > priority.Virtualization can reduce costs, simplify management, and improve > application availability and disaster protection. Learn more about boosting > the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Michael Droettboom Science Software Branch Space Telescope Science Institute Baltimore, Maryland, USA ------------------------------------------------------------------------------ Benefiting from Server Virtualization: Beyond Initial Workload Consolidation -- Increasing the use of server virtualization is a top priority.Virtualization can reduce costs, simplify management, and improve application availability and disaster protection. Learn more about boosting the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
