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