Hi Jerome,

to find where the segfault problem comes from, you can run
catchsegv yade script.py
the output tells the last actions before the segfault.
If the output is too long, you can try
catchsegv yade script.py > /tmp/segv.err
or
catchsegv yade script.py 2> /tmp/segv.err
(don't remember) and provde the segv.err file

cheers
Jan

PS: this is exactly the point I mentioned in [1]. If you use these
functions in C++, using boost::python stuff is extra, std::vector should
be used instead of boost::python::tuple and the buust::python stuff
should only be used to interact with Python :-)

[1] https://www.mail-archive.com/yade-
d...@lists.launchpad.net/msg13300.html

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https://bugs.launchpad.net/bugs/1764424

Title:
  Segfaults with boost::python::tuple during simulation loop

Status in Yade:
  New

Bug description:
  Hi,

  I'm currently facing segmentation fault when using "my"
  MeasureCapStress post-processing engine (this constitutes a
  regression..).

  A example script appears at the end of this message (it's better,
  though not necessary here, to have the capillary files from
  https://www.yade-dem.org/w/images/d/d2/CapillaryFiles2016.tar.gz). I
  get the crash with the trunk version as of today or yadedaily (for
  instance), and having Python 2.7.12 installed on my machine.


  There is some random pattern in the way crashs occur, with e.g. the following 
messages:
  - *** Error in `/usr/bin/python': free(): invalid pointer: 0x00000000008fa220 
***
  followed by plenty of "Backtrace" and "Memory map" lines ending with "Aborted 
(core dumped)"
  - or just "Segmentation fault (core dumped)"
  that appear after a variable number (not much, though) of iterations.

  It seems also possible to go through a greater number of iterations by
  hand-clicking on GUI step button than by asking O.run()...


  Anyway, the crash seems to occur during (or just after) the definition
  of a boost::python::tuple variable, equal to Shop::aabbExtrema(), at
  [*].

  I'm quite puzzled by all this, would someone have an idea ?
  Is there any particular (de-allocating ?) practice to follow when using such 
Python-C interfaced variables in the C++ code ?


  Thank you very much,

  Jerome

  
  ### Script example ###
  # two contacting particles with a capillary bridge inbetween. Segfaults 
because of MeasureCapStress on my machine
  r1,r2 = 1e-4,4e-4
  z1,z2=0,0.95*(r1+r2)

  O.bodies.append(sphere(center=Vector3(0,0,z1),radius=r1,dynamic=0))
  O.bodies.append(sphere(center=Vector3(0,0,z2),radius=r2,dynamic=0))

  O.engines=[ForceResetter()
             ,InsertionSortCollider([Bo1_Sphere_Aabb()])
             ,InteractionLoop(
                 [Ig2_Sphere_Sphere_ScGeom()],
                 [Ip2_FrictMat_FrictMat_CapillaryPhys()],
                 [Law2_ScGeom_FrictPhys_CundallStrack(neverErase=1)]
                             )
             ,Law2_ScGeom_CapillaryPhys_Capillarity(capillaryPressure=1e3)
             ,NewtonIntegrator()
             ,GlobalStiffnessTimeStepper()
             ,MeasureCapStress(iterPeriod=1)
            ]

  O.run()
  ### End of script example ###

  
  [*] 
https://github.com/yade/trunk/blob/master/pkg/dem/MeasureCapStress.cpp#L63. 
While another boost:python: appears L64, it seems L63 is enough to cause the 
crash. Indeed, crash also occurs when just hardcoding in L64 "volume = 1.0;" 
(making L63 useless but still annoying enough to cause the crash)

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