Re: [matplotlib-devel] Memory leaks

Interesting...
When you get a chance, would you mind running the attached script? This 
is how I was finding object leaks before. It takes a single commandline 
argument that is the number of iterations. Can you send me the outputs 
from 1 and 2 iterations? That way we should be able to see what type of 
object is being leaked, which is a good first step.
If that doesn't make it immediately obvious, I'll try this on my Ubuntu 
box at home and see if I can reproduce what you're seeing.
Cheers,
Mike
Eric Firing wrote:
> Michael Droettboom wrote:
>> Interesting. I don't get that, but I do get some random segfaults (I 
>> got lucky the first time I tested).
>>
>> I'm awfully surprised that wx.GetApp() would return an iterator, as 
>> you are getting, so maybe it's corruption of some sort?
>>
>> Reverting to revision 3441 on backend_wx.py does resolve this issue 
>> for me, so it is related to removing the wxapp global variable. While I 
>
> [...]
>
> Works for me now, and the result is attached. Object count is still 
> climbing.
>
> Eric
> ------------------------------------------------------------------------
>
> # columns are: iteration, OS memory (k), number of python objects
> #
> 0 18849 75791
> 10 18849 75831
> 20 18849 75871
> 30 18849 75911
> 40 18930 75951
> 50 18930 75991
> 60 19038 76031
> 70 19038 76071
> 80 19038 76111
> 90 19038 76151
> 100 19124 76191
> 110 19124 76231
> 120 19235 76271
> 130 19235 76311
> 140 19316 76351
> 150 19316 76391
> 160 19417 76431
> 170 19417 76471
> 180 19417 76511
> 190 19513 76551
> 200 19513 76591
> 210 19513 76631
> 220 19612 76671
> 230 19612 76711
> 240 19612 76751
> 250 19710 76791
> 260 19710 76831
> 270 19710 76871
> 280 19800 76911
> 290 19800 76951
> 300 19800 76991
> 310 19893 77031
> 320 19893 77071
> 330 19893 77111
> 340 19978 77151
> 350 19978 77191
> 360 20088 77231
> 370 20088 77271
> 380 20088 77311
> 390 20192 77351
> 400 20192 77391
> 410 20192 77431
> 420 20192 77471
> 430 20274 77511
> 440 20274 77551
> 450 20374 77591
> 460 20374 77631
> 470 20374 77671
> 480 20484 77711
> 490 20484 77751
> 500 20484 77791
> 510 20588 77831
> 520 20588 77871
> 530 20588 77911
> 540 20588 77951
> 550 20683 77991
> 560 20683 78031
> 570 20683 78071
> 580 20763 78111
> 590 20796 78151
> 600 20861 78191
> 610 20961 78231
> 620 20961 78271
> 630 20961 78311
> 640 21060 78351
> 650 21060 78391
> 660 21060 78431
> 670 21156 78471
> 680 21156 78511
> 690 21156 78551
> 700 21254 78591
> 710 21254 78631
> 720 21254 78671
> 730 21353 78711
> 740 21353 78751
> 750 21353 78791
> 760 21442 78831
> 770 21442 78871
> 780 21442 78911
> 790 21528 78951
> 800 21528 78991
> 810 21638 79031
> 820 21638 79071
> 830 21638 79111
> 840 21638 79151
> 850 21733 79191
> 860 21733 79231
> 870 21733 79271
> 880 21820 79311
> 890 21820 79351
> 900 21931 79391
> 910 21931 79431
> 920 21931 79471
> 930 21931 79511
> 940 22015 79551
> 950 22015 79591
> 960 22126 79631
> 970 22126 79671
> 980 22126 79711
> 990 22126 79751
> 1000 22207 79791
> 1010 22207 79831
> 1020 22298 79871
> 1030 22298 79911
> 1040 22335 79951
> 1050 22401 79991
> 1060 22503 80031
> 1070 22503 80071
> 1080 22503 80111
> 1090 22601 80151
> 1100 22601 80191
> 1110 22601 80231
> 1120 22699 80271
> 1130 22699 80311
> 1140 22699 80351
> 1150 22798 80391
> 1160 22798 80431
> 1170 22798 80471
> 1180 22897 80511
> 1190 22897 80551
> 1200 22897 80591
> 1210 22995 80631
> 1220 22995 80671
> 1230 22995 80711
> 1240 23086 80751
> 1250 23086 80791
> 1260 23086 80831
> 1270 23180 80871
> 1280 23180 80911
> 1290 23283 80951
> 1300 23283 80991
> 1310 23283 81031
> 1320 23283 81071
> 1330 23366 81111
> 1340 23366 81151
> 1350 23475 81191
> 1360 23475 81231
> 1370 23475 81271
> 1380 23475 81311
> 1390 23552 81351
> 1400 23552 81391
> 1410 23643 81431
> 1420 23643 81471
> 1430 23595 81511
> 1440 23700 81551
> 1450 23808 81591
> 1460 23808 81631
> 1470 23808 81671
> 1480 23787 81711
> 1490 23852 81751
> 1500 23951 81791
> 1510 24048 81831
> 1520 24048 81871
> 1530 24048 81911
> 1540 24146 81951
> 1550 24146 81991
> 1560 24146 82031
> 1570 24247 82071
> 1580 24247 82111
> 1590 24247 82151
> 1600 24344 82191
> 1610 24344 82231
> 1620 24344 82271
> 1630 24442 82311
> 1640 24442 82351
> 1650 24442 82391
> 1660 24542 82431
> 1670 24542 82471
> 1680 24542 82511
> 1690 24639 82551
> 1700 24639 82591
> 1710 24639 82631
> 1720 24738 82671
> 1730 24738 82711
> 1740 24738 82751
> 1750 24837 82791
> 1760 24837 82831
> 1770 24837 82871
> 1780 24935 82911
> 1790 24935 82951
> 1800 24935 82991
> 1810 25025 83031
> 1820 25025 83071
> 1830 25025 83111
> 1840 25118 83151
> 1850 25118 83191
> 1860 25104 83231
> 1870 25170 83271
> 1880 25281 83311
> 1890 25281 83351
> 1900 25281 83391
> 1910 25385 83431
> 1920 25385 83471
> 1930 25385 83511
> 1940 25362 83551
> 1950 25400 83591
> 1960 25469 83631
> 1970 25596 83671
> 1980 25596 83711
> 1990 25693 83751
> 2000 25693 83791
> # columns above are: iteration, OS memory (k), number of python objects
> #
> # uncollectable list: []
> #
> # Backend WX, toolbar toolbar2
> # wxPython version: 2.8.1.1
> # Averaging over loops 1000 to 2000
> # Memory went from 22207k to 25693k
> # Average memory consumed per loop: 3.4860k bytes
>
>