On 04/20/2011 07:48 AM, Caleb Constantine wrote: > On Tue, Apr 19, 2011 at 2:25 PM, Michael Droettboom<md...@stsci.edu> wrote: >> 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 > Consider the following: > > matplotlib 1.0.1, numpy 1.5.1, python 2.7.1, wxPython 2.8.11.0, > Windows XP SP3 > > - 1 hour > - Plotted 3601 times, about 1Hz > - Memory usage increased by about 1.16MB (41.39 - 40.23), or > about 0.33K per redraw > > It seems the same memory leak exists. Given you don't have this issue > on Linux with the same Python configuration, I can only assume it is > related to some Windows specific code somewhere. I'll run for a longer > period of time just in case, but I don't expect the results to be > different. One way to rule out Windows-specific code may be to run with the Agg backend only (without wx). Have you plotted the memory growth? This amount of memory growth is well within the pool allocation sizes that Python routinely uses. Does the value of len(gc.get_objects()) grow over time?
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