Michael Droettboom wrote:
Eric Firing wrote:
I just committed a change to the output formatting of memleak_gui so
that if you redirect it to a file, that file can be loaded with
pylab.load() in case you want to plot the columns. (At least this is
true if you don't use the -c option.)
Great. Sorry for stomping on that ;)
Yesterday, before your commits, I compared memleak_gui with stock
Python 2.4 versus stock 2.5 (both from ubuntu feisty) and found very
little difference in the OS memory numbers.
Are they still increasing linearly? I'm still seeing some mystery leaks
with Gtk, Qt4 and (much smaller) on Tk. Qt and Wx seem fine here.
Attached are runs with gtk, wx, qtagg, and tkagg. Quite a variety of
results: tkagg is best, with only slow memory growth and a constant
number of python objects; qtagg grows by 2.2k per loop, with no increase
in python object count; wx (which is built on gtk) consumes 3.5k per
loop, with an increasing object count; gtk consumes 1.8k per loop with
an increasing object count.
All runs are on stock ubuntu feisty python 2.5.
Eric
Unfortunately Qt4 crashes valgrind, so it's not of much use.
I'm curious whether your results match that. I'm not terribly surprised
that 2.4 isn't different from 2.5, since the case in which entire memory
pools are freed in 2.5 is probably hard to trigger.
Cheers,
Mike
# columns are: iteration, OS memory (k), number of python objects
#
0 27423 55194
10 27444 55204
20 27444 55214
30 27444 55224
40 27489 55234
50 27566 55244
60 27566 55254
70 27566 55264
80 27566 55274
90 27566 55284
100 27566 55294
110 27566 55304
120 27822 55314
130 27822 55324
140 27822 55334
150 27822 55344
160 27822 55354
170 27822 55364
180 27897 55374
190 27897 55384
200 27897 55394
210 27897 55404
220 27897 55414
230 27897 55424
240 27897 55434
250 27897 55444
260 27897 55454
270 27972 55464
280 27972 55474
290 27972 55484
300 27972 55494
310 27972 55504
320 27972 55514
330 27972 55524
340 27972 55534
350 27972 55544
360 27952 55554
370 28009 55564
380 28009 55574
390 28009 55584
400 28087 55594
410 28087 55604
420 28087 55614
430 28343 55624
440 28343 55634
450 28343 55644
460 28343 55654
470 28343 55664
480 28424 55674
490 28424 55684
500 28424 55694
510 28424 55704
520 28424 55714
530 28424 55724
540 28505 55734
550 28505 55744
560 28505 55754
570 28505 55764
580 28505 55774
590 28505 55784
600 28505 55794
610 28505 55804
620 28505 55814
630 28505 55824
640 28505 55834
650 28505 55844
660 28580 55854
670 28580 55864
680 28580 55874
690 28580 55884
700 28580 55894
710 28580 55904
720 28580 55914
730 28580 55924
740 28580 55934
750 28836 55944
760 28836 55954
770 28836 55964
780 28900 55974
790 28900 55984
800 28900 55994
810 28900 56004
820 28900 56014
830 28900 56024
840 28900 56034
850 28900 56044
860 28970 56054
870 28970 56064
880 28970 56074
890 28970 56084
900 28970 56094
910 28970 56104
920 28970 56114
930 28970 56124
940 29052 56134
950 29052 56144
960 29052 56154
970 29052 56164
980 29052 56174
990 29052 56184
1000 29052 56194
1010 29052 56204
1020 29308 56214
1030 29308 56224
1040 29308 56234
1050 29286 56244
1060 29340 56254
1070 29340 56264
1080 29340 56274
1090 29340 56284
1100 29340 56294
1110 29340 56304
1120 29340 56314
1130 29340 56324
1140 29340 56334
1150 29373 56344
1160 29441 56354
1170 29441 56364
1180 29441 56374
1190 29441 56384
1200 29441 56394
1210 29441 56404
1220 29520 56414
1230 29520 56424
1240 29520 56434
1250 29520 56444
1260 29520 56454
1270 29520 56464
1280 29520 56474
1290 29520 56484
1300 29520 56494
1310 29503 56504
1320 29553 56514
1330 29532 56524
1340 29582 56534
1350 29838 56544
1360 29918 56554
1370 29918 56564
1380 29918 56574
1390 29918 56584
1400 29918 56594
1410 29918 56604
1420 29918 56614
1430 29918 56624
1440 29918 56634
1450 29918 56644
1460 29918 56654
1470 29918 56664
1480 29918 56674
1490 29988 56684
1500 29988 56694
1510 29988 56704
1520 29988 56714
1530 29966 56724
1540 29966 56734
1550 29966 56744
1560 29966 56754
1570 29966 56764
1580 29966 56774
1590 29966 56784
1600 29966 56794
1610 30261 56804
1620 30331 56814
1630 30331 56824
1640 30331 56834
1650 30331 56844
1660 30331 56854
1670 30311 56864
1680 30311 56874
1690 30311 56884
1700 30356 56894
1710 30337 56904
1720 30386 56914
1730 30368 56924
1740 30422 56934
1750 30422 56944
1760 30494 56954
1770 30494 56964
1780 30494 56974
1790 30494 56984
1800 30494 56994
1810 30494 57004
1820 30494 57014
1830 30494 57024
1840 30494 57034
1850 30494 57044
1860 30494 57054
1870 30494 57064
1880 30494 57074
1890 30494 57084
1900 30750 57094
1910 30750 57104
1920 30750 57114
1930 30750 57124
1940 30799 57134
1950 30779 57144
1960 30830 57154
1970 30809 57164
1980 30863 57174
1990 30836 57184
2000 30888 57194
# columns above are: iteration, OS memory (k), number of python objects
#
# uncollectable list: []
#
# Backend GTK, toolbar toolbar2
# Averaging over loops 1000 to 2000
# Memory went from 29052k to 30888k
# Average memory consumed per loop: 1.8360k bytes
# columns are: iteration, OS memory (k), number of python objects
#
0 18814 75790
10 18814 75830
20 18814 75870
30 18814 75910
40 18905 75950
50 18905 75990
60 18905 76030
70 19008 76070
80 19008 76110
90 19008 76150
100 19118 76190
110 19118 76230
120 19118 76270
130 19223 76310
140 19223 76350
150 19306 76390
160 19306 76430
170 19412 76470
180 19412 76510
190 19412 76550
200 19516 76590
210 19516 76630
220 19516 76670
230 19516 76710
240 19610 76750
250 19610 76790
260 19610 76830
270 19689 76870
280 19689 76910
290 19781 76950
300 19781 76990
310 19781 77030
320 19866 77070
330 19866 77110
340 19972 77150
350 19972 77190
360 19972 77230
370 20076 77270
380 20076 77310
390 20075 77350
400 20076 77390
410 20171 77430
420 20171 77470
430 20171 77510
440 20250 77550
450 20250 77590
460 20352 77630
470 20352 77670
480 20352 77710
490 20448 77750
500 20448 77790
510 20448 77830
520 20547 77870
530 20547 77910
540 20547 77950
550 20646 77990
560 20646 78030
570 20646 78070
580 20737 78110
590 20737 78150
600 20770 78190
610 20828 78230
620 20914 78270
630 20914 78310
640 21011 78350
650 21011 78390
660 21011 78430
670 21107 78470
680 21107 78510
690 21107 78550
700 21205 78590
710 21205 78630
720 21205 78670
730 21301 78710
740 21301 78750
750 21301 78790
760 21400 78830
770 21400 78870
780 21400 78910
790 21499 78950
800 21499 78990
810 21499 79030
820 21597 79070
830 21597 79110
840 21597 79150
850 21696 79190
860 21696 79230
870 21696 79270
880 21794 79310
890 21794 79350
900 21794 79390
910 21893 79430
920 21893 79470
930 21893 79510
940 21983 79550
950 21983 79590
960 21983 79630
970 22075 79670
980 22075 79710
990 22179 79750
1000 22179 79790
1010 22179 79830
1020 22179 79870
1030 22263 79910
1040 22263 79950
1050 22370 79990
1060 22370 80030
1070 22456 80070
1080 22456 80110
1090 22555 80150
1100 22555 80190
1110 22555 80230
1120 22665 80270
1130 22665 80310
1140 22665 80350
1150 22665 80390
1160 22745 80430
1170 22745 80470
1180 22836 80510
1190 22836 80550
1200 22836 80590
1210 22929 80630
1220 22929 80670
1230 23034 80710
1240 23034 80750
1250 23034 80790
1260 23034 80830
1270 23129 80870
1280 23129 80910
1290 23129 80950
1300 23214 80990
1310 23214 81030
1320 23311 81070
1330 23311 81110
1340 23311 81150
1350 23407 81190
1360 23407 81230
1370 23407 81270
1380 23505 81310
1390 23505 81350
1400 23505 81390
1410 23606 81430
1420 23606 81470
1430 23606 81510
1440 23702 81550
1450 23702 81590
1460 23702 81630
1470 23801 81670
1480 23801 81710
1490 23801 81750
1500 23900 81790
1510 23900 81830
1520 23933 81870
1530 24002 81910
1540 24112 81950
1550 24112 81990
1560 24112 82030
1570 24093 82070
1580 24132 82110
1590 24201 82150
1600 24298 82190
1610 24298 82230
1620 24298 82270
1630 24408 82310
1640 24408 82350
1650 24408 82390
1660 24511 82430
1670 24511 82470
1680 24511 82510
1690 24492 82550
1700 24562 82590
1710 24670 82630
1720 24670 82670
1730 24670 82710
1740 24776 82750
1750 24776 82790
1760 24776 82830
1770 24753 82870
1780 24817 82910
1790 24917 82950
1800 24917 82990
1810 24917 83030
1820 25016 83070
1830 25016 83110
1840 25016 83150
1850 25105 83190
1860 25105 83230
1870 25086 83270
1880 25151 83310
1890 25246 83350
1900 25246 83390
1910 25246 83430
1920 25347 83470
1930 25347 83510
1940 25347 83550
1950 25443 83590
1960 25443 83630
1970 25443 83670
1980 25542 83710
1990 25643 83750
2000 25643 83790
# columns above are: iteration, OS memory (k), number of python objects
#
# uncollectable list: []
#
# Backend WX, toolbar toolbar2
# Averaging over loops 1000 to 2000
# Memory went from 22179k to 25643k
# Average memory consumed per loop: 3.4640k bytes
# columns are: iteration, OS memory (k), number of python objects
#
0 13671 48331
10 13728 48331
20 13728 48331
30 13728 48331
40 13728 48331
50 13728 48331
60 13728 48331
70 13728 48331
80 13807 48331
90 13807 48331
100 13807 48331
110 13807 48331
120 13807 48331
130 13807 48331
140 13807 48331
150 13807 48331
160 13807 48331
170 13807 48331
180 13807 48331
190 13807 48331
200 13807 48331
210 13807 48331
220 13807 48331
230 13807 48331
240 13886 48331
250 13886 48331
260 13886 48331
270 13886 48331
280 13886 48331
290 13886 48331
300 13886 48331
310 13886 48331
320 13886 48331
330 13886 48331
340 13886 48331
350 13886 48331
360 14414 48331
370 14481 48331
380 14481 48331
390 14481 48331
400 14481 48331
410 14481 48331
420 14481 48331
430 14481 48331
440 14481 48331
450 14481 48331
460 14481 48331
470 14481 48331
480 14481 48331
490 14561 48331
500 14561 48331
510 14561 48331
520 14561 48331
530 14561 48331
540 14561 48331
550 14561 48331
560 14561 48331
570 14561 48331
580 14561 48331
590 14561 48331
600 14561 48331
610 14561 48331
620 14561 48331
630 14561 48331
640 14561 48331
650 14640 48331
660 14640 48331
670 14640 48331
680 14640 48331
690 14640 48331
700 14640 48331
710 15139 48331
720 15215 48331
730 15215 48331
740 15215 48331
750 15215 48331
760 15215 48331
770 15215 48331
780 15215 48331
790 15215 48331
800 15215 48331
810 15215 48331
820 15215 48331
830 15215 48331
840 15215 48331
850 15215 48331
860 15296 48331
870 15296 48331
880 15296 48331
890 15296 48331
900 15296 48331
910 15296 48331
920 15296 48331
930 15296 48331
940 15296 48331
950 15296 48331
960 15296 48331
970 15296 48331
980 15296 48331
990 15296 48331
1000 15296 48331
1010 15296 48331
1020 15375 48331
1030 15375 48331
1040 15375 48331
1050 15375 48331
1060 15837 48331
1070 15882 48331
1080 15882 48331
1090 15960 48331
1100 15960 48331
1110 15960 48331
1120 15960 48331
1130 15960 48331
1140 15960 48331
1150 15960 48331
1160 15960 48331
1170 15960 48331
1180 15960 48331
1190 15960 48331
1200 15960 48331
1210 15960 48331
1220 15960 48331
1230 15960 48331
1240 15960 48331
1250 16040 48331
1260 16040 48331
1270 16040 48331
1280 16040 48331
1290 16040 48331
1300 16040 48331
1310 16040 48331
1320 16040 48331
1330 16040 48331
1340 16040 48331
1350 16040 48331
1360 16040 48331
1370 16040 48331
1380 16040 48331
1390 16040 48331
1400 16040 48331
1410 16582 48331
1420 16647 48331
1430 16647 48331
1440 16647 48331
1450 16647 48331
1460 16647 48331
1470 16647 48331
1480 16647 48331
1490 16647 48331
1500 16647 48331
1510 16647 48331
1520 16725 48331
1530 16725 48331
1540 16725 48331
1550 16725 48331
1560 16725 48331
1570 16725 48331
1580 16725 48331
1590 16725 48331
1600 16725 48331
1610 16725 48331
1620 16725 48331
1630 16725 48331
1640 16725 48331
1650 16725 48331
1660 16725 48331
1670 16725 48331
1680 16804 48331
1690 16804 48331
1700 16804 48331
1710 16804 48331
1720 16804 48331
1730 16804 48331
1740 16804 48331
1750 16804 48331
1760 17299 48331
1770 17354 48331
1780 17354 48331
1790 17354 48331
1800 17354 48331
1810 17354 48331
1820 17354 48331
1830 17431 48331
1840 17431 48331
1850 17431 48331
1860 17431 48331
1870 17431 48331
1880 17431 48331
1890 17431 48331
1900 17431 48331
1910 17431 48331
1920 17431 48331
1930 17431 48331
1940 17431 48331
1950 17431 48331
1960 17431 48331
1970 17431 48331
1980 17431 48331
1990 17510 48331
2000 17510 48331
# columns above are: iteration, OS memory (k), number of python objects
#
# uncollectable list: []
#
# Backend QtAgg, toolbar toolbar2
# Averaging over loops 1000 to 2000
# Memory went from 15296k to 17510k
# Average memory consumed per loop: 2.2140k bytes
# columns are: iteration, OS memory (k), number of python objects
#
0 11396 48258
10 11566 48258
20 11632 48258
30 11632 48258
40 11632 48258
50 11632 48258
60 11632 48258
70 11632 48258
80 11632 48258
90 11632 48258
100 11632 48258
110 11632 48258
120 11632 48258
130 11632 48258
140 11632 48258
150 11632 48258
160 11632 48258
170 11632 48258
180 11632 48258
190 11632 48258
200 11632 48258
210 11632 48258
220 11632 48258
230 11632 48258
240 11632 48258
250 11631 48258
260 11632 48258
270 11632 48258
280 11632 48258
290 11632 48258
300 11632 48258
310 11632 48258
320 11632 48258
330 11632 48258
340 11632 48258
350 11632 48258
360 11632 48258
370 11632 48258
380 11632 48258
390 11632 48258
400 11632 48258
410 11632 48258
420 11632 48258
430 11632 48258
440 11632 48258
450 11632 48258
460 11632 48258
470 11632 48258
480 11711 48258
490 11711 48258
500 11711 48258
510 11711 48258
520 11711 48258
530 11711 48258
540 11711 48258
550 11711 48258
560 11711 48258
570 11711 48258
580 11711 48258
590 11711 48258
600 11711 48258
610 11711 48258
620 11711 48258
630 11711 48258
640 11711 48258
650 11711 48258
660 11711 48258
670 11711 48258
680 11711 48258
690 11711 48258
700 11711 48258
710 11711 48258
720 11711 48258
730 11711 48258
740 11711 48258
750 11711 48258
760 11711 48258
770 11711 48258
780 11711 48258
790 11711 48258
800 11711 48258
810 11711 48258
820 11711 48258
830 11711 48258
840 11711 48258
850 11711 48258
860 11711 48258
870 11711 48258
880 11711 48258
890 11711 48258
900 11711 48258
910 11711 48258
920 11711 48258
930 11711 48258
940 11711 48258
950 11711 48258
960 11710 48258
970 11711 48258
980 11711 48258
990 11711 48258
1000 11711 48258
1010 11711 48258
1020 11711 48258
1030 11711 48258
1040 11711 48258
1050 11711 48258
1060 11711 48258
1070 11711 48258
1080 11711 48258
1090 11711 48258
1100 11711 48258
1110 11711 48258
1120 11711 48258
1130 11711 48258
1140 11711 48258
1150 11711 48258
1160 11711 48258
1170 11711 48258
1180 11711 48258
1190 11711 48258
1200 11711 48258
1210 11711 48258
1220 11711 48258
1230 11711 48258
1240 11711 48258
1250 11711 48258
1260 11711 48258
1270 11711 48258
1280 11711 48258
1290 11711 48258
1300 11711 48258
1310 11711 48258
1320 11711 48258
1330 11792 48258
1340 11792 48258
1350 11792 48258
1360 11792 48258
1370 11792 48258
1380 11792 48258
1390 11792 48258
1400 11792 48258
1410 11792 48258
1420 11792 48258
1430 11792 48258
1440 11792 48258
1450 11791 48258
1460 11792 48258
1470 11792 48258
1480 11792 48258
1490 11792 48258
1500 11792 48258
1510 11792 48258
1520 11792 48258
1530 11792 48258
1540 11792 48258
1550 11792 48258
1560 11792 48258
1570 11792 48258
1580 11792 48258
1590 11792 48258
1600 11792 48258
1610 11792 48258
1620 11792 48258
1630 11792 48258
1640 11792 48258
1650 11792 48258
1660 11792 48258
1670 11792 48258
1680 11792 48258
1690 11792 48258
1700 11792 48258
1710 11792 48258
1720 11792 48258
1730 11792 48258
1740 11792 48258
1750 11792 48258
1760 11792 48258
1770 11792 48258
1780 11792 48258
1790 11792 48258
1800 11792 48258
1810 11792 48258
1820 11792 48258
1830 11792 48258
1840 11792 48258
1850 11792 48258
1860 11792 48258
1870 11792 48258
1880 11792 48258
1890 11792 48258
1900 11792 48258
1910 11792 48258
1920 11792 48258
1930 11792 48258
1940 11792 48258
1950 11792 48258
1960 11792 48258
1970 11792 48258
1980 11792 48258
1990 11792 48258
2000 11792 48258
# columns above are: iteration, OS memory (k), number of python objects
#
# uncollectable list: []
#
# Backend TkAgg, toolbar toolbar2
# Averaging over loops 1000 to 2000
# Memory went from 11711k to 11792k
# Average memory consumed per loop: 0.0810k bytes
-------------------------------------------------------------------------
This SF.net email is sponsored by DB2 Express
Download DB2 Express C - the FREE version of DB2 express and take
control of your XML. No limits. Just data. Click to get it now.
http://sourceforge.net/powerbar/db2/
_______________________________________________
Matplotlib-devel mailing list
Matplotlib-devel@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
