Ok.  Attached is a corrected patch.

Mike

On 06/22/2010 12:26 PM, Michael Droettboom wrote:
Hold off, actually. This patch seems to have broken some thing inadvertently. Stay tuned...

Mike

On 06/22/2010 12:05 PM, Michael Droettboom wrote:
In r8454, I have a applied a fix that allows this C++ exception to correctly percolate to the Python side -- the user will still get an exception, but it will be a Python exception and the interpreter itself does not crash. (It used to work, but recent changes to CXX caused it to break.) I have attached this patch to the e-mail.

As Eric suggests, fixing the underlying limitation (I even hesitate to call it a bug because it is definitely a corner case) requires understanding some pretty dark depths of the Agg renderer.

Mike

On 06/21/2010 10:57 PM, Eric Firing wrote:
On 06/21/2010 12:24 PM, Sandro Tosi wrote:
forwarded 585442 matplotlib-devel@lists.sourceforge.net
thanks

Hello Matplotlib developers,
here below is a report a user of maplotlib sent to the Debian bug
tracker. I've verified and it happend also with 0.99.3:

$ python -c "import matplotlib as p ; print p.__version__"
0.99.3
$ python mpl_crash.py
terminate called after throwing an instance of 'char const*'
Aborted

Thanks for looking into it,
Sandro
Sandro,

Thanks for reporting it.

With the default interpolation, rendering gets extremely slow as the
view limits decline to and below a single image pixel.  I suspect the
crash is related to this.  Neither the slowdown nor the crash occurs
with interpolation='nearest', although there is still an anomaly in
which the image is blank when the viewlim region is too small.

Like Ryan, I am not familiar with the _image.cpp and the underlying agg
routines, but I suspect this is going to be a difficult problem to
solve.  It may be necessary to put in some workaround, trying to trap
and prevent the extreme slowdown and crash.  The slowdown topic came up
on the list years ago.

http://www.mail-archive.com/matplotlib-devel@lists.sourceforge.net/msg00513.html

Eric

On Thu, Jun 10, 2010 at 16:52, Teemu Ikonen<tpiko...@gmail.com> wrote:
Package: python-matplotlib
Version: 0.99.1.2-3
Severity: important

Running a program which displays an image with plt.imshow() and changes the axes with plt.axis() before calling plt.show() crashes the python interpreter:

$ python mpl_crash.py
terminate called after throwing an instance of 'char const*'
Aborted

This happens at least with Qt4Agg, GTKAgg and TKAgg backends.

The example program is attached.

Best,

Teemu

-- System Information:
Debian Release: squeeze/sid
   APT prefers testing
   APT policy: (500, 'testing')
Architecture: amd64 (x86_64)

Kernel: Linux 2.6.32-trunk-amd64 (SMP w/4 CPU cores)
Locale: LANG=en_US.UTF-8, LC_CTYPE=en_US.UTF-8 (charmap=UTF-8)
Shell: /bin/sh linked to /bin/dash

Versions of packages python-matplotlib depends on:
ii libatk1.0-0 1.30.0-1 The ATK accessibility toolkit ii libc6 2.10.2-9 Embedded GNU C Library: Shared lib ii libcairo2 1.8.10-4 The Cairo 2D vector graphics libra ii libfontconfig1 2.8.0-2.1 generic font configuration library ii libfreetype6 2.3.11-1 FreeType 2 font engine, shared lib
ii  libgcc1                 1:4.4.4-1        GCC support library
ii libglib2.0-0 2.24.1-1 The GLib library of C routines ii libgtk2.0-0 2.20.1-1 The GTK+ graphical user interface ii libpango1.0-0 1.28.0-1 Layout and rendering of internatio
ii  libpng12-0              1.2.43-1         PNG library - runtime
ii libstdc++6 4.4.4-1 The GNU Standard C++ Library v3 ii python 2.5.4-9 An interactive high-level object-o ii python-cairo 1.8.8-1+b1 Python bindings for the Cairo vect ii python-dateutil 1.4.1-3 powerful extensions to the standar ii python-gobject 2.21.1-1 Python bindings for the GObject li ii python-matplotlib-data 0.99.1.2-3 Python based plotting system (data ii python-numpy 1:1.3.0-3+b1 Numerical Python adds a fast array
ii  python-pyparsing        1.5.2-2          Python parsing module
ii python-support 1.0.8 automated rebuilding support for P ii python-tz 2010b-1 Python version of the Olson timezo ii tcl8.5 8.5.8-2 Tcl (the Tool Command Language) v8 ii tk8.5 8.5.8-1 Tk toolkit for Tcl and X11, v8.5 - ii zlib1g 1:1.2.3.4.dfsg-3 compression library - runtime

Versions of packages python-matplotlib recommends:
ii python-glade2 2.17.0-2 GTK+ bindings: Glade support ii python-tk 2.6.5-1 Tkinter - Writing Tk applications

Versions of packages python-matplotlib suggests:
ii dvipng 1.13-1 convert DVI files to PNG graphics ii ipython 0.10-2 enhanced interactive Python shell ii librsvg2-common 2.26.3-1 SAX-based renderer library for SVG ii python-configobj 4.7.2+ds-1 simple but powerful config file re
pn  python-excelerator<none>        (no description available)
ii python-gtk2 2.17.0-2 Python bindings for the GTK+ widge
pn  python-matplotlib-doc<none>        (no description available)
pn  python-qt3<none>        (no description available)
ii  python-qt4                    4.7.3-1    Python bindings for Qt4
ii python-scipy 0.7.2-1 scientific tools for Python ii python-traits 3.3.0-1 Manifest typing and reactive progr ii python-wxgtk2.8 2.8.10.1-3 wxWidgets Cross-platform C++ GUI t ii texlive-extra-utils 2009-7 TeX Live: TeX auxiliary programs ii texlive-latex-extra 2009-7 TeX Live: LaTeX supplementary pack

-- no debconf information

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Index: agg24/include/agg_rasterizer_cells_aa.h
===================================================================
--- agg24/include/agg_rasterizer_cells_aa.h     (revision 8453)
+++ agg24/include/agg_rasterizer_cells_aa.h     (working copy)
@@ -29,16 +29,15 @@
 #ifndef AGG_RASTERIZER_CELLS_AA_INCLUDED
 #define AGG_RASTERIZER_CELLS_AA_INCLUDED

+#include "CXX/Exception.hxx"
 #include <exception>
 #include <string.h>
 #include <math.h>
 #include "agg_math.h"
 #include "agg_array.h"

-
 namespace agg
 {
-
     //-----------------------------------------------------rasterizer_cells_aa
     // An internal class that implements the main rasterization algorithm.
     // Used in the rasterizer. Should not be used direcly.
@@ -185,10 +184,13 @@
             if((m_num_cells & cell_block_mask) == 0)
             {
                 if(m_num_blocks >= cell_block_limit) {
+                    static Py::Exception e(
+                        Py::OverflowError(
+                            "Agg rendering complexity exceeded. Consider downsampling or decimating your data."));
+
                     /* If this exception is thrown too often, one can
                        increase cell_block_limit */
-                    throw "Agg rendering complexity exceeded. "
-                        "Consider downsampling or decimating your data.";
+                    throw e;
                 }
                 allocate_block();
             }
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