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[Bruno Chareyre <1208878@xxxxxxxxxxxxxxxxxx>]

Fixed. Thank you Seungcheol Yeom for reporting, and Anton for pointer.
https://github.com/yade/trunk/commit/376c2efff2d284b6f10d5b285253554c1eba3e25

Note that the script will still not work. It will return an error message. At least not a segfault.
The problem is this recorder depends on TriaxialCompressionEngine, which you don't have, this is what the error message will say.

In fact both TriaxialCompressionEngine and capillaryStressRecorder make
no sense in a 2-sphere problem.

** Changed in: yade
     Assignee: (unassigned) => Bruno Chareyre (bruno-chareyre)

** Changed in: yade
       Status: New => Fix Released

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https://bugs.launchpad.net/bugs/1208878

Title:
  Segmentation falut (core dumped)

Status in Yet Another Dynamic Engine:
  Fix Released

Bug description:
  Hello,

  I am using yade-daily and I think I found a bug something like
  "Segmentation falut (core dumped)" when I ran a script below:

  from yade import plot,qt

  r = 0.003 #particle radius of typical clay
  h = 0.001 #praticle distance

  #create two sphere paticles#
  O.bodies.append([
     utils.sphere(center=(0,0,0),radius=r,fixed=False),
     utils.sphere((0,0,2*r+h),r)
  ])


  #define engines#
  O.engines=[
     ForceResetter(),
     InsertionSortCollider([Bo1_Sphere_Aabb(aabbEnlargeFactor=2)]),
     InteractionLoop(
        [Ig2_Sphere_Sphere_ScGeom(interactionDetectionFactor=2)],         
        [Ip2_FrictMat_FrictMat_CapillaryPhys()], 
        [Law2_ScGeom_FrictPhys_CundallStrack(neverErase=True)]   
     ),
     Law2_ScGeom_CapillaryPhys_Capillarity(capillaryPressure=10000,label='Cap'),
     CapillaryStressRecorder(file='capillary pressure',iterPeriod=100), 
     NewtonIntegrator(damping=0.4,gravity=(0,0,0)),
     PyRunner(iterPeriod=100,command='addPlotData()') 
  ]

  Cap.createDistantMeniscii=True
  O.run(1,True)
  Cap.createDistantMeniscii=False

  
  def addPlotData():
   d0 = O.bodies[0].state.displ()
   d1 = O.bodies[1].state.displ()
   plot.addData(i=O.iter,b0displ=d0[2],b1displ=d1[2])

  
  plot.plots={'i':('b0displ')}
  plot.plot()
  plot.live=True
  plot.autozoom=True
  O.dt=0.5*PWaveTimeStep()
  qt.View()
  O.saveTmp()

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