93 lines
3.6 KiB
Python
Executable File
93 lines
3.6 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: UTF-8 no BOM -*-
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import os,vtk
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import numpy as np
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import argparse
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import damask
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from vtk.util import numpy_support
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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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# --------------------------------------------------------------------
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# MAIN
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# --------------------------------------------------------------------
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parser = argparse.ArgumentParser()
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#ToDo: We need to decide on a way of handling arguments of variable lentght
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#https://stackoverflow.com/questions/15459997/passing-integer-lists-to-python
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#parser.add_argument('--version', action='version', version='%(prog)s {}'.format(scriptID))
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parser.add_argument('filenames', nargs='+',
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help='DADF5 files')
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options = parser.parse_args()
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options.labels = ['Fe','Fp','xi_sl']
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# --- loop over input files ------------------------------------------------------------------------
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for filename in options.filenames:
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results = damask.DADF5(filename)
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if results.structured: # for grid solvers use rectilinear grid
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rGrid = vtk.vtkRectilinearGrid()
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coordArray = [vtk.vtkDoubleArray(),
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vtk.vtkDoubleArray(),
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vtk.vtkDoubleArray(),
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]
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rGrid.SetDimensions(*(results.grid+1))
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for dim in [0,1,2]:
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for c in np.linspace(0,results.size[dim],1+results.grid[dim]):
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coordArray[dim].InsertNextValue(c)
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rGrid.SetXCoordinates(coordArray[0])
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rGrid.SetYCoordinates(coordArray[1])
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rGrid.SetZCoordinates(coordArray[2])
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for i,inc in enumerate(results.increments):
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print('Output step {}/{}'.format(i+1,len(results.increments)))
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vtk_data = []
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results.active['increments'] = [inc]
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for label in options.labels:
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for o in results.c_output_types:
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results.active['c_output_types'] = [o]
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if o != 'generic':
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for c in results.constituents:
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results.active['constituents'] = [c]
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x = results.get_dataset_location(label)
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if len(x) == 0:
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continue
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array = results.read_dataset(x,0)
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shape = [array.shape[0],np.product(array.shape[1:])]
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vtk_data.append(numpy_support.numpy_to_vtk(num_array=array.reshape(shape),deep=True,array_type= vtk.VTK_DOUBLE))
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vtk_data[-1].SetName('1_'+x[0].split('/',1)[1])
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rGrid.GetCellData().AddArray(vtk_data[-1])
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else:
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results.active['constituents'] = results.constituents
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x = results.get_dataset_location(label)
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if len(x) == 0:
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continue
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array = results.read_dataset(x,0)
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shape = [array.shape[0],np.product(array.shape[1:])]
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vtk_data.append(numpy_support.numpy_to_vtk(num_array=array.reshape(shape),deep=True,array_type= vtk.VTK_DOUBLE))
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vtk_data[-1].SetName('1_'+x[0].split('/')[1]+'/generic/'+label)
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rGrid.GetCellData().AddArray(vtk_data[-1])
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if results.structured:
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writer = vtk.vtkXMLRectilinearGridWriter()
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writer.SetCompressorTypeToZLib()
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writer.SetDataModeToBinary()
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writer.SetFileName(os.path.join(os.path.split(filename)[0],
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os.path.splitext(os.path.split(filename)[1])[0] +
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'_inc{:04d}'.format(i) + # ToDo: adjust to length of increments
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'.' + writer.GetDefaultFileExtension()))
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if results.structured:
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writer.SetInputData(rGrid)
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writer.Write()
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