DAMASK_EICMD/processing/post/addSpectralDecomposition.py

97 lines
4.1 KiB
Python
Executable File

#!/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 = '<string LIST>',
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()
# ------------------------------------------ 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))
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 --------------------------------------
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)