Sphere size Distribution

Hi all,

can you please help me to find out what is wrong with below script. Thanks so much
That is very simple script try to model pack of spheres with specific size distribution,

#!/usr/bin/python
from yade import pack,utils, qt, plot
#pred = pack.inAlignedBox((0,0,0),(.045,0.045,.045))
#create material
soil1 = CohFrictMat(young=30e9,poisson=0.3,frictionAngle=radians(30),density=2600.0,normalCohesion=1e6, shearCohesion=80e6,label='soil')
#color=(1,0,0) ----red color
#soil1 = FrictMat(young=1e6,poisson=0.4,frictionAngle=radians(30),density=2500.0,label='soil')
O.materials.append(soil1)#
O.bodies.append(utils.wall(0,axis=1,sense=1))
O.materials.append(CohFrictMat(young=30e9,poisson=0.3, frictionAngle = radians(30) , label='wallmat'))
wallmat = O.materials[-1]

spheres=SpherePack()
#spheres=pack.randomDensePack(pred,radius=.5,rRelFuzz=0,material='soil',spheresInCell=1000,color=(1,0,0),returnSpherePack=True)
#spheres.toSimulation()
#O.bodies.append(spheres)
################################

sp=pack.SpherePack()
psdSizes=[0.00011,0.00012,0.00013,0.00014,0.00015,0.00016,0.00017,0.00018,0.00019,0.0002] # (sizes or radii of the grains vary from 2mm to 9.5mm)
psdCumm=[0,0.2,0.3,.4,0.5,0.6,0.7,0.8,0.9,1.0] # for the code not using percentage, e.g. yade-daily

sp.makeCloud((0,0,0),(.0045,0.0045,.0045),-1,0,1000,False, 0.95,psdSizes,psdCumm,False,seed=1) #"seed" make the "random" generation always the same
#sp.makeCloud(mn,mx,-1,0,num_spheres1,num_spheres1,False, 0.95,psdSizes,psdCumm,False,seed=1)#"seed" make the "random" generation always the same
spheres.toSimulation()
#O.bodies.append(spheres)
##################################

O.engines=[
             ForceResetter(),#reset forces
             InsertionSortCollider([Bo1_Wall_Aabb(),Bo1_Sphere_Aabb()]),
             InteractionLoop(
                            [Ig2_Sphere_Sphere_ScGeom6D(),Ig2_Wall_Sphere_ScGeom()], # collision geometry
                            [Ip2_CohFrictMat_CohFrictMat_CohFrictPhys()], # collision "physics"
                            [Law2_ScGeom6D_CohFrictPhys_CohesionMoment(),Law2_ScGeom_FrictPhys_CundallStrack()] # contact law -- apply forces
                                            ),
                      # apply gravity force to particles
                            # damping: numerical dissipation of energy
              NewtonIntegrator(damping=0.5,gravity=(0,-9.81,0)),
                            #qt.SnapshotEngine(fileBase='3d-',iterPeriod=200,label='snapshot'),
   # this engine will be called after 20000 steps, only once

              PyRunner(command='checkUnbalanced()',realPeriod=100,label='checker'),
              PyRunner(command='addPlotData()',iterPeriod=100)
]

print 'Number of elements: ', len(O.bodies)
print 'Box Volume: '
print 'Reposemix,e-2repose30degree,r=.5,.0'
O.trackEnergy=True
# set timestep to a fraction of the critical timestep
# the fraction is very small, so that the simulation is not too fast
# and the motion can be observed
O.dt=1*utils.PWaveTimeStep()
#makeVideo(snapshot.snapshots,'3d.mpeg',fps=10,bps=10000)
# save the simulation, so that it can be reloaded later, for experimentation
#O.saveTmp()0
#checker.command='stopUnloading()'
def checkUnbalanced():
   if unbalancedForce()<5e-2:
      print('Reached target , stopping')
      O.pause()
      plot.saveDataTxt('Reposemix,,e-2repose,30degree,r=.5,.0.txt.bz2')
      plot.saveDataTxt('Reposemix,,e-2repose,30degree,r=.5,.0.txt')
#plot.saveDataTxt('modi.data.bz2')
      # plot.saveGnuplot('bbb') is also possible

# collect history of data which will be plotted

def addPlotData():
   # each item is given a names, by which it can be the unsed in plot.plots
   # the **O.energy converts dictionary-like O.energy to plot.addData arguments
   plot.addData(i=O.iter,unbalanced=unbalancedForce(),**O.energy)
#O.save('Modifiedd.txt.bz2')
#while 1:
 #O.run(100,True)
 #if unbalancedForce()<1e-5:
  #break
plot.plots={'i':('unbalanced',None,O.energy.keys)}
plot.plot()

O.saveTmp()

#plot.saveDataTxt('2')
from yade import qt
qt.View()
#O.run()
#from yade import qt
#qt.View()
#O.run()
# this function is called when the simulation is finished
#def finish():
   # snapshot is label of qt.SnapshotEngine
   # the 'snapshots' attribute contains list of all saved files
   #makeVideo(snapshot.snapshots,'3d.mpeg',fps=10,bps=10000)
   #O.pause()

yade.qt.Controller();
# set parameters of the renderer, to show network chains rather than particles
# these settings are accessible from the Controller window, on the second tab ("Display") as well
#rr=yade.qt.Renderer()
#rr.shape=False
#rr.intrPhys=True