#!/usr/bin/env python # -*- coding: UTF-8 no BOM -*- import os,re,sys,math,string import numpy as np from collections import defaultdict from optparse import OptionParser import damask scriptID = '$Id$' scriptName = scriptID.split()[1] # -------------------------------------------------------------------- # MAIN # -------------------------------------------------------------------- parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """ Add column(s) containing eigenvalues and eigenvectors of requested tensor column(s). """, version = string.replace(scriptID,'\n','\\n') ) parser.add_option('-t','--tensor', dest='tensor', action='extend', type='string', metavar='', help='heading of columns containing tensor field values') parser.set_defaults(tensor = []) (options,filenames) = parser.parse_args() if len(options.tensor) == 0: parser.error('no data column specified...') datainfo = { # list of requested labels per datatype 'tensor': {'len':9, 'label':[]}, } datainfo['tensor']['label'] += options.tensor # ------------------------------------------ setup file handles ------------------------------------ files = [] for name in filenames: if os.path.exists(name): files.append({'name':name, 'input':open(name), 'output':open(name+'_tmp','w'), 'croak':sys.stderr}) #--- loop over input files ------------------------------------------------------------------------ for file in files: file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n') table = damask.ASCIItable(file['input'],file['output'],True) # make unbuffered ASCII_table table.head_read() # read ASCII header info table.info_append(string.replace(scriptID,'\n','\\n') + '\t' + ' '.join(sys.argv[1:])) active = [] column = defaultdict(dict) for label in datainfo['tensor']['label']: key = '1_%s'%label if key not in table.labels: file['croak'].write('column %s not found...\n'%key) else: active.append(label) column[label] = table.labels.index(key) # remember columns of requested data # ------------------------------------------ assemble header --------------------------------------- for labels in active: table.labels_append(['%i_eigval(%s)'%(i+1,label) for i in xrange(3)]) # extend ASCII header with new labels table.labels_append(['%i_eigvec(%s)'%(i+1,label) for i in xrange(9)]) # extend ASCII header with new labels table.head_write() # ------------------------------------------ process data ---------------------------------------- outputAlive = True while outputAlive and table.data_read(): # read next data line of ASCII table for labels in active: # loop over requested data tensor = np.array(map(float,table.data[column[label]:column[label]+datainfo['tensor']['len']])).\ reshape((datainfo['tensor']['len']//3,3)) (u,v) = np.linalg.eig(tensor) table.data_append(list(u)) table.data_append(list(v.transpose().reshape(datainfo['tensor']['len']))) outputAlive = table.data_write() # output processed line # ------------------------------------------ output result --------------------------------------- outputAlive and table.output_flush() # just in case of buffered ASCII table file['input'].close() # close input ASCII table (works for stdin) file['output'].close() # close output ASCII table (works for stdout) if file['name'] != 'STDIN': os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new