100 lines
5.1 KiB
Python
Executable File
100 lines
5.1 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 = scriptID.split()[1][:-3]
|
|
|
|
# --------------------------------------------------------------------
|
|
# MAIN
|
|
# --------------------------------------------------------------------
|
|
|
|
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
|
|
Add column(s) containing Second Piola--Kirchhoff stress based on given column(s) of deformation gradient and first Piola--Kirchhoff stress.
|
|
|
|
""", version = scriptID)
|
|
|
|
parser.add_option('-f','--defgrad', dest='defgrad', action='store', type='string', metavar='string',
|
|
help='heading of columns containing deformation gradient [%default]')
|
|
parser.add_option('-p','--stress', dest='stress', action='store', type='string', metavar='string',
|
|
help='heading of columns containing first Piola--Kirchhoff stress [%default]')
|
|
parser.set_defaults(defgrad = 'f')
|
|
parser.set_defaults(stress = 'p')
|
|
|
|
(options,filenames) = parser.parse_args()
|
|
|
|
datainfo = { # list of requested labels per datatype
|
|
'defgrad': {'len':9,
|
|
'label':[]},
|
|
'stress': {'len':9,
|
|
'label':[]},
|
|
}
|
|
|
|
datainfo['defgrad']['label'].append(options.defgrad)
|
|
datainfo['stress']['label'].append(options.stress)
|
|
|
|
# ------------------------------------------ setup file handles ------------------------------------
|
|
files = []
|
|
if filenames == []:
|
|
files.append({'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout, 'croak':sys.stderr})
|
|
else:
|
|
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:
|
|
if file['name'] != 'STDIN': file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
|
|
else: file['croak'].write('\033[1m'+scriptName+'\033[0m\n')
|
|
|
|
table = damask.ASCIItable(file['input'],file['output'],False) # make unbuffered ASCII_table
|
|
table.head_read() # read ASCII header info
|
|
table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
|
|
|
|
active = defaultdict(list)
|
|
column = defaultdict(dict)
|
|
missingColumns = False
|
|
|
|
for datatype,info in datainfo.items():
|
|
for label in info['label']:
|
|
key = '1_%s'%label
|
|
if key not in table.labels:
|
|
file['croak'].write('column %s not found...\n'%key)
|
|
missingColumns = True # break if label not found
|
|
else:
|
|
active[datatype].append(label)
|
|
column[datatype][label] = table.labels.index(key) # remember columns of requested data
|
|
|
|
if missingColumns:
|
|
continue
|
|
|
|
# ------------------------------------------ assemble header --------------------------------------
|
|
table.labels_append(['%i_S'%(i+1) for i in xrange(datainfo['stress']['len'])]) # 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
|
|
F = np.array(map(float,table.data[column['defgrad'][active['defgrad'][0]]:
|
|
column['defgrad'][active['defgrad'][0]]+
|
|
datainfo['defgrad']['len']]),'d').reshape(3,3)
|
|
P = np.array(map(float,table.data[column['stress'][active['stress'][0]]:
|
|
column['stress'][active['stress'][0]]+
|
|
datainfo['stress']['len']]),'d').reshape(3,3)
|
|
|
|
table.data_append(list(np.dot(np.linalg.inv(F),P).reshape(9))) # [S] =[P].[F-1]
|
|
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
|