added options to control written output (mesh(default), box, points) and to control reconstruction. --undeformed does not calculate average deformation of ve, --scaling controls the scaling of the fluctuation. Default is 1.0, with 0.0 no fluctuations are shown
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@ -291,11 +291,26 @@ parser.add_option('-s', '--scalar', action='extend', dest='scalar', type='string
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help='list of scalars to visualize')
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parser.add_option('-d', '--deformation', dest='defgrad', type='string', \
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help='heading of deformation gradient columns [%default]')
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parser.add_option('-m', '--mesh', dest='output_mesh', action='store_true', \
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help='produce VTK mesh file [%default]')
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parser.add_option('-p', '--points', dest='output_points', action='store_true', \
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help='produce VTK points file [%default]')
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parser.add_option('-b', '--box', dest='output_box', action='store_true', \
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help='produce VTK box file [%default]')
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parser.add_option('--scaling', dest='scaling', type='int', nargs=1, \
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help='scaling of fluctuastion [%default]')
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parser.add_option('--undeformed', dest='undeformed', action='store_true',\
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help='do not calculate average deformation of ve [%default]')
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parser.set_defaults(defgrad = 'f')
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parser.set_defaults(scalar = [])
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parser.set_defaults(vector = [])
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parser.set_defaults(tensor = [])
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parser.set_defaults(output_mesh = True)
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parser.set_defaults(output_points = False)
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parser.set_defaults(output_box = False)
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parser.set_defaults(scaling = 1)
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parser.set_defaults(undeformed = False)
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(options, args) = parser.parse_args()
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@ -377,16 +392,21 @@ for filename in args:
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if r > 1:
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dim[i] = (max(map(float,grid[i].keys()))-min(map(float,grid[i].keys())))*r/(r-1.0)
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print res,dim
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defgrad_av = postprocessingMath.tensor_avg(res[0],res[1],res[2],\
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for i,r in enumerate(res): # for 2D (and 1D) case make undefined dimension thin
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if r == 1 :
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dim[i] = 1.0/float(max(res))*min(dim)
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if options.undeformed:
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defgrad_av = numpy.array([[1.0,0.0,0.0],[0.0,1.0,0.0],[0.0,0.0,1.0]])
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else:
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defgrad_av = postprocessingMath.tensor_avg(res[0],res[1],res[2],\
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numpy.reshape(values[:,column['tensor'][options.defgrad]:
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column['tensor'][options.defgrad]+9],
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(res[0],res[1],res[2],3,3)))
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centroids = postprocessingMath.deformed_fft(res[0],res[1],res[2],dim,\
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numpy.reshape(values[:,column['tensor'][options.defgrad]:
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column['tensor'][options.defgrad]+9],
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(res[0],res[1],res[2],3,3)),defgrad_av,1.0)
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(res[0],res[1],res[2],3,3)),defgrad_av,options.scaling)
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ms = postprocessingMath.mesh(res[0],res[1],res[2],dim,defgrad_av,centroids)
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fields = {\
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@ -415,9 +435,9 @@ for filename in args:
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print '\n'
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out = {}
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out['mesh'] = vtk_writeASCII_mesh(ms,fields,res)
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out['points'] = vtk_writeASCII_points(centroids,fields,res)
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out['box'] = vtk_writeASCII_box(dim,defgrad_av)
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if options.output_mesh: out['mesh'] = vtk_writeASCII_mesh(ms,fields,res)
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if options.output_points: out['points'] = vtk_writeASCII_points(centroids,fields,res)
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if options.output_box: out['box'] = vtk_writeASCII_box(dim,defgrad_av)
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for what in out.keys():
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print what
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