I'm moving this second question onto the matplotlib-devel list. It seems that a user is unable to build the tkagg extension from source on Ubuntu 8.04. I know the Tcl/Tk header lookup mechanism is inherently complex. Could someone who knows what's going on there have a look?
Jonathan: Could you please provide the output of a compile without your modifications to make it work? We'd like this to work automatically. Cheers, Mike Jonathan Wright wrote: > Mike, > > That fixes things for me - many thanks. Unrelated, but to build from > SVN I had to go diving in setupext.py to say that the tk include files > are in: > > /usr/include/tcl8.4 > > ... while the tcl install home is /usr/share/tcltk. The command > "locate tk.h" was particularly useful. > > Many thanks again, > > Jon > > Michael Droettboom wrote: >> I assume you're using the matplotlib 0.91.2 that's distributed with >> Ubuntu 8.04. >> >> There was a recent fix for segfaulting in the exact same place >> (outside of any sort of freezing apparatus). Since it was related to >> the interpretation of a pointer, it's possible that you would see >> this inside of cx-freeze and not outside on the same machine, just >> because things get loaded into different parts of memory. I would >> try that fix first, and then look at problems related to freezing. >> >> We should have a new release out shortly, but it's unclear how long >> that will take to trickle down into Ubuntu repositories. >> >> You can check out the SVN maintenance branch from here (which has >> this bugfix): >> >> svn co >> https://matplotlib.svn.sf.net/svnroot/matplotlib/branches/v0_91_maint >> matplotlib-0.91.x >> >> Let us know how that works for you. >> >> Cheers, >> Mike >> >> Jonathan Wright wrote: >>> Hello, >>> >>> I am getting segmentation faults when I try to freeze a script which >>> uses the TkAgg backend, on python2.5.2, gcc 4.2.3 (ubuntu 8.04, >>> hardy heron). A trial script is: >>> >>> import matplotlib >>> matplotlib.use("TkAgg") # unless you have it in matplotlibrc >>> import matplotlib.backends.backend_tkagg # explicit for freezer >>> from matplotlib.pylab import plot, show >>> plot(range(10), range(10), "+") >>> show() >>> >>> Is anyone already familiar with the problem? Things seem to work >>> with the GTkAgg backend, but sadly many years ago I decided to use >>> Tk as I thought it'd be easier to distribute. In order to reproduce >>> the problem with bbfreeze you should just need this freezing script: >>> >>> from bbfreeze import Freezer >>> f = Freezer("dist", >>> includes=("matplotlib", >>> "matplotlib.numerix.fft", >>> "matplotlib.numerix.linear_algebra", >>> "matplotlib.numerix.ma", >>> "matplotlib.numerix.mlab", >>> "matplotlib.numerix.random_array")) >>> f.addScript("t.py") >>> f() >>> >>> For reproducing the problem with cx-freeze you need to (a) install >>> it by patching the cx-freeze setup.py [so that (2, 5) -> (2, 6)] and >>> (b) add an import for numpy.linalg.lapack_lite and edit your >>> numpy.__init__ to remove numpy.test. >>> >>> Thanks for any advice, >>> >>> Jon >>> --- >>> >>> PS: gdb says >>> Program received signal SIGSEGV, Segmentation fault. >>> [Switching to Thread 0xb7c806b0 (LWP 8158)] >>> 0xb6e145a0 in ?? () from >>> /home/wright/testcx/build/exe.linux-i686-2.5/matplotlib.backends._tkagg.so >>> >>> (gdb) bt >>> #0 0xb6e145a0 in ?? () from >>> /home/wright/testcx/build/exe.linux-i686-2.5/matplotlib.backends._tkagg.so >>> >>> #1 0xb6badb6e in TclInvokeStringCommand () from >>> /usr/lib/libtcl8.4.so.0 >>> #2 0xb6baee56 in TclEvalObjvInternal () from /usr/lib/libtcl8.4.so.0 >>> #3 0xb6baf0db in Tcl_EvalObjv () from /usr/lib/libtcl8.4.so.0 >>> #4 0xb6ef96c6 in ?? () from >>> /home/wright/testcx/build/exe.linux-i686-2.5/_tkinter.so >>> #5 0x0827a0c8 in ?? () >>> #6 0x00000005 in ?? () >>> ... >>> >>> ------------------------------------------------------------------------- >>> >>> This SF.net email is sponsored by: Microsoft Defy all challenges. >>> Microsoft(R) Visual Studio 2008. >>> http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ >>> _______________________________________________ >>> Matplotlib-users mailing list >>> [EMAIL PROTECTED] >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> >> > -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
