78 lines
4.1 KiB
Python
Executable File
78 lines
4.1 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,string
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import numpy as np
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from collections import defaultdict
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from optparse import OptionParser
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import damask
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scriptID = string.replace('$Id$','\n','\\n')
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scriptName = os.path.splitext(scriptID.split()[1])[0]
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# --------------------------------------------------------------------
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# MAIN
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# --------------------------------------------------------------------
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """
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Add column(s) containing Second Piola--Kirchhoff stress based on given column(s) of deformation gradient and first Piola--Kirchhoff stress.
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""", version = scriptID)
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parser.add_option('-f','--defgrad', dest='defgrad', metavar='string',
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help='heading of columns containing deformation gradient [%default]')
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parser.add_option('-p','--stress', dest='stress', metavar='string',
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help='heading of columns containing first Piola--Kirchhoff stress [%default]')
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parser.set_defaults(defgrad = 'f')
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parser.set_defaults(stress = 'p')
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(options,filenames) = parser.parse_args()
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# ------------------------------------------ setup file handles ------------------------------------
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files = []
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if filenames == []:
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files.append({'name':'STDIN', 'input':sys.stdin, 'output':sys.stdout, 'croak':sys.stderr})
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else:
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for name in filenames:
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if os.path.exists(name):
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files.append({'name':name, 'input':open(name), 'output':open(name+'_tmp','w'), 'croak':sys.stderr})
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# ------------------------------------------ loop over input files ---------------------------------
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for file in files:
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if file['name'] != 'STDIN': file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
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else: file['croak'].write('\033[1m'+scriptName+'\033[0m\n')
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table = damask.ASCIItable(file['input'],file['output'],False) # make unbuffered ASCII_table
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table.head_read() # read ASCII header info
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table.info_append(scriptID + '\t' + ' '.join(sys.argv[1:]))
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# --------------- figure out columns to process ---------------------------------------------------
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missingColumns = False
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column={ 'defgrad': table.labels.index('1_'+options.defgrad),
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'stress': table.labels.index('1_'+options.stress)}
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for key in column:
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if column[key]<1:
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file['croak'].write('column %s not found...\n'%key)
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missingColumns=True
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if missingColumns: continue
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# ------------------------------------------ assemble header --------------------------------------
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table.labels_append(['%i_S'%(i+1) for i in xrange(9)]) # extend ASCII header with new labels
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table.head_write()
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# ------------------------------------------ process data ------------------------------------------
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outputAlive = True
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while outputAlive and table.data_read(): # read next data line of ASCII table
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F = np.array(map(float,table.data[column['defgrad']:column['defgrad']+9]),'d').reshape(3,3)
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P = np.array(map(float,table.data[column['stress'] :column['stress']+9]),'d').reshape(3,3)
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table.data_append(list(np.dot(np.linalg.inv(F),P).reshape(9))) # [S] =[P].[F-1]
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outputAlive = table.data_write() # output processed line
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# ------------------------------------------ output result -----------------------------------------
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outputAlive and table.output_flush() # just in case of buffered ASCII table
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table.input_close() # close input ASCII table (works for stdin)
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table.output_close() # close output ASCII table (works for stdout)
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if file['name'] != 'STDIN':
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os.rename(file['name']+'_tmp',file['name']) # overwrite old one with tmp new
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