#!/usr/bin/env python2.7 # -*- coding: UTF-8 no BOM -*- import os,sys import numpy as np from optparse import OptionParser import damask scriptName = os.path.splitext(os.path.basename(__file__))[0] scriptID = ' '.join([scriptName,damask.version]) # -------------------------------------------------------------------- # MAIN # -------------------------------------------------------------------- parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """ Add column(s) containing eigenvalues and eigenvectors of requested symmetric tensor column(s). """, version = scriptID) parser.add_option('-t','--tensor', dest = 'tensor', action = 'extend', metavar = '', help = 'heading of columns containing tensor field values') parser.add_option('--no-check', dest = 'rh', action = 'store_false', help = 'skip check for right-handed eigenvector basis') parser.set_defaults(rh = True, ) (options,filenames) = parser.parse_args() if options.tensor is None: parser.error('no data column specified.') # --- loop over input files ------------------------------------------------------------------------- if filenames == []: filenames = [None] for name in filenames: try: table = damask.ASCIItable(name = name, buffered = False) except: continue damask.util.report(scriptName,name) # ------------------------------------------ read header ------------------------------------------ table.head_read() # ------------------------------------------ assemble header 1 ------------------------------------ items = { 'tensor': {'dim': 9, 'shape': [3,3], 'labels':options.tensor, 'column': []}, } errors = [] remarks = [] for type, data in items.iteritems(): for what in data['labels']: dim = table.label_dimension(what) if dim != data['dim']: remarks.append('column {} is not a {}...'.format(what,type)) else: items[type]['column'].append(table.label_index(what)) for order in ['Min','Mid','Max']: table.labels_append(['eigval{}({})'.format(order,what)]) # extend ASCII header with new labels for order in ['Min','Mid','Max']: table.labels_append(['{}_eigvec{}({})'.format(i+1,order,what) for i in range(3)]) # extend ASCII header with new labels if remarks != []: damask.util.croak(remarks) if errors != []: damask.util.croak(errors) table.close(dismiss = True) continue # ------------------------------------------ assemble header 2 ------------------------------------ table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:])) table.head_write() # ------------------------------------------ process data ----------------------------------------- outputAlive = True while outputAlive and table.data_read(): # read next data line of ASCII table for type, data in items.iteritems(): for column in data['column']: (u,v) = np.linalg.eigh(np.array(map(float,table.data[column:column+data['dim']])).reshape(data['shape'])) if options.rh and np.dot(np.cross(v[:,0], v[:,1]), v[:,2]) < 0.0 : v[:, 2] *= -1.0 # ensure right-handed eigenvector basis table.data_append(list(u)) # vector of max,mid,min eigval table.data_append(list(v.transpose().reshape(data['dim']))) # 3x3=9 combo vector of max,mid,min eigvec coordinates outputAlive = table.data_write() # output processed line in accordance with column labeling # ------------------------------------------ output finalization ----------------------------------- table.close() # close input ASCII table (works for stdin)