This is the mail archive of the gdb-prs@sources.redhat.com mailing list for the GDB project.


Index Nav: [Date Index] [Subject Index] [Author Index] [Thread Index]
Message Nav: [Date Prev] [Date Next] [Thread Prev] [Thread Next]
Other format: [Raw text]

breakpoints/1557: segfaults during run if a breakpoint is inserted


>Number:         1557
>Category:       breakpoints
>Synopsis:       segfaults during run if a breakpoint is inserted
>Confidential:   no
>Severity:       serious
>Priority:       high
>Responsible:    unassigned
>State:          open
>Class:          sw-bug
>Submitter-Id:   net
>Arrival-Date:   Wed Feb 18 23:28:00 UTC 2004
>Closed-Date:
>Last-Modified:
>Originator:     alexmalk@line.cs.uni-sb.de
>Release:        gdb 2004-02-18-cvs
>Organization:
>Environment:
debian linux

"gcc -v" says
Reading specs from /usr/lib/gcc-lib/i386-linux/3.3/specs
Configured with: ../src/configure -v --enable-languages=c,c++,java,f77,pascal,objc,ada,treelang --prefix=/usr --mandir=/usr/share/man --infodir=/usr/share/info --with-gxx-include-dir=/usr/include/c++/3.3 --enable-shared --with-system-zlib --enable-nls --without-included-gettext --enable-__cxa_atexit --enable-clocale=gnu --enable-debug --enable-java-gc=boehm
--enable-java-awt=xlib --enable-objc-gc i386-linux
Thread model: posix
gcc version 3.3 (Debian)

And "gdb -v" says:
GNU gdb 2004-02-18-cvs
...(copyright foo bar)...
This GDB was configured as "i686-pc-linux-gnu".

And "ld -v" says:
GNU ld version 2.15.90 20040218
>Description:
gdb segfaults if I set a breakpoint in a special function and run (with a parameter 5). Without setting a breakpoint, a run functions normally. Sources attached.
Couldn't construct a small example (they didn't segfault).
Prerequisitions: LEDA-4.4.1 (may work with previous versions of LEDA also).

The program to run is
./count_fig 5
(prints some stuff, terminates).
The same goes well under the debugger (without setting breaks within Figur.cpp). But setting breakpoints within Figur.cpp, on lines 354 or 364 (which should be triggered, according to the algorithm!) leads to a segfault.

Besides, if you run
xxgdb count_fig
and examine the file Figur.cpp (if you'll be able to get there somehow), xxgdb shows you line numbers, which get smaller on certain places (and not bigger) as you scroll down the text.
>How-To-Repeat:
How to repeat:
tar -xvzf soft.tgz
make
gdb count_fig
break Figur.cpp:354
run 5
(wait for a segfault)
>Fix:

>Release-Note:
>Audit-Trail:
>Unformatted:
----gnatsweb-attachment----
Content-Type: application/x-gtar; name="soft.tgz"
Content-Transfer-Encoding: base64
Content-Disposition: attachment; filename="soft.tgz"
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Index Nav: [Date Index] [Subject Index] [Author Index] [Thread Index]
Message Nav: [Date Prev] [Date Next] [Thread Prev] [Thread Next]