[Top][All Lists]

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

[Lilypond-auto] [LilyIssues-auto] [testlilyissues:issues] #4814

From: Auto mailings of changes to Lily Issues
Subject: [Lilypond-auto] [LilyIssues-auto] [testlilyissues:issues] #4814 segfaults on Fedora 24 with gcc6
Date: Sat, 02 Apr 2016 18:44:34 +0000

The exact same LilyPond snapshot, built with gcc 5.3.1 (and the corresponding libstd version) instead of gcc 6.0.0, doesn’t segfault.

[issues:#4814] segfaults on Fedora 24 with gcc6

Status: Accepted
Created: Sat Mar 26, 2016 09:51 PM UTC by Valentin Villenave
Last Updated: Sat Mar 26, 2016 09:51 PM UTC
Owner: nobody

I’m trying to run LilyPond on Fedora 24 (with GCC 6.0); I’m able to compile it (with and without guile2 enabled) but when trying to use it, many LilyPond files trigger a segfault:

Interpreting music...
Preprocessing graphical objects...
Program received signal SIGSEGV, Segmentation fault.
0x0000000000496c2f in Grob::get_offset (address@hidden,
address@hidden) at
400       if (dim_cache_[a].offset_)

Here are the regtests that reproduce the bug (the others compile just fine):

What makes is weird is that the bug happens both with my LilyPond
build (latest master branch) and with my distribution’s package
(Fedora repos generally have the latest development release: as of now
it’s 2.19.38 but this also happened with .37 and .36); however, GUB
packages of the exact same development release, don’t reproduce the

Could it be because Fedora 24 is using GCC6? I’ve tried bisecting but I’m unable to compile any version older than a couple of weeks, prior to David’s more rigorous smob types:

Let me know if I can provide any other information (and feel free to close this issue if it turns out to be caused by something in my environment).

Sent from because address@hidden is subscribed to

To unsubscribe from further messages, a project admin can change settings at Or, if this is a mailing list, you can unsubscribe from the mailing list.

Transform Data into Opportunity.
Accelerate data analysis in your applications with
Intel Data Analytics Acceleration Library.
Click to learn more.
Testlilyissues-auto mailing list

reply via email to

[Prev in Thread] Current Thread [Next in Thread]