DAMASK_EICMD/processing/post/addSpectralDecomposition.py

89 lines
3.6 KiB
Python
Executable File

#!/usr/bin/env python
# -*- coding: UTF-8 no BOM -*-
import os,sys,string
import numpy as np
from collections import defaultdict
from optparse import OptionParser
import damask
scriptID = string.replace('$Id$','\n','\\n')
scriptName = os.path.splitext(scriptID.split()[1])[0]
# --------------------------------------------------------------------
# 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 = scriptID)
parser.add_option('-t','--tensor',
dest = 'tensor',
action = 'extend', metavar = '<string LIST>',
help = 'heading of columns containing tensor field values')
(options,filenames) = parser.parse_args()
if options.tensor == None:
parser.error('no data column specified.')
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: filenames = ['STDIN']
for name in filenames:
if not (name == 'STDIN' or os.path.exists(name)): continue
table = damask.ASCIItable(name = name, outname = name+'_tmp',
buffered = False)
table.croak('\033[1m'+scriptName+'\033[0m'+(': '+name if name != 'STDIN' else ''))
# ------------------------------------------ read header ------------------------------------------
table.head_read()
# ------------------------------------------ sanity checks ----------------------------------------
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))
table.labels_append(['{}_eigval({})'.format(i+1,what) for i in xrange(3)]) # extend ASCII header with new labels
table.labels_append(['{}_eigvec({})'.format(i+1,what) for i in xrange(9)]) # extend ASCII header with new labels
if remarks != []: table.croak(remarks)
if errors != []:
table.croak(errors)
table.close(dismiss = True)
continue
# ------------------------------------------ assemble header --------------------------------------
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.eig(np.array(map(float,table.data[column:column+data['dim']])).reshape(data['shape']))
table.data_append(list(u))
table.data_append(list(v.transpose().reshape(data['dim'])))
outputAlive = table.data_write() # output processed line
# ------------------------------------------ output finalization -----------------------------------
table.close() # close input ASCII table (works for stdin)
if name != 'STDIN': os.rename(name+'_tmp',name) # overwrite old one with tmp new