On Tue, Dec 14, 2010 at 3:18 PM, Russell E. Owen <ro...@uw.edu> wrote:
> I tried the test script on linux using matplotlib svn trunk rev8840
> (which appears to include your patch) and found a leak that starts out
> small but gets systematically larger. This is with Python 2.6.5 and
> Tkinter built against Tcl/Tk 8.4.13.
>
> Is anyone else seeing this?
>
> time rss memory mem/sec
> (sec) (kb) (kb/sec)
> 0.0 36816 nan
> 5.0 36860 nan
> 10.0 36860 0.0
> 15.1 36860 0.0
> 20.1 36860 0.0
> 25.1 36896 1.8
> ...
> 326.5 36896 0.1
> 331.6 36972 0.3
> ...
> 401.9 36972 0.3
> 406.9 36980 0.3
> 411.9 37004 0.4
> 417.0 37016 0.4
> 422.0 37040 0.4
> 427.0 37052 0.5
> 432.0 37076 0.5
> 437.1 37088 0.5
> 442.1 37112 0.6
> 447.1 37124 0.6
> 452.1 37148 0.6
> 457.2 37160 0.7
> 462.2 37184 0.7
> 467.2 37196 0.7
> 472.2 37220 0.8
> 477.3 37232 0.8
> 482.3 37256 0.8
> 487.3 37268 0.8
> 492.3 37292 0.9
> 497.3 37304 0.9
> 502.3 37328 0.9
> 507.4 37340 1.0
> 512.4 37360 1.0
> 517.4 37376 1.0
> 522.4 37396 1.0
> 527.5 37412 1.1
> 532.5 37432 1.1
> 537.5 37448 1.1
> 542.5 37472 1.1
> 547.6 37488 1.2
> 552.6 37504 1.2
> 557.6 37516 1.2
> 562.6 37540 1.2
> 567.6 37556 1.2
> 572.7 37576 1.3
> 577.7 37592 1.3
> 582.7 37612 1.3
> 587.7 37628 1.3
> 592.7 37648 1.3
> 597.8 37664 1.4
> 602.8 37684 1.4
> 607.8 37700 1.4
>
> This is different behavior than on Mac OS X, but still alarming.
>
> -- Russell
>
>
Russell,
I am curious, I recently ran into problems with mixing builds of numpy and
matplotlib at various levels of revisions. I eventually had to do a
complete clean rebuild. Note, what I mean by a complete clean rebuild is
that I removed the numpy and matplotlib source directories and re-checkout
the codes from source and then rebuild. I would be curious if the problem
persists after that.
Ben Root
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