107 lines
5.4 KiB
Python
Executable File
107 lines
5.4 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,math,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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def Mises(what,tensor):
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dev = tensor - np.trace(tensor)/3.0*np.eye(3)
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symdev = 0.5*(dev+dev.T)
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return math.sqrt(np.sum(symdev*symdev.T)*
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{
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'stress': 3.0/2.0,
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'strain': 2.0/3.0,
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}[what.lower()])
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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 vonMises equivalent values for symmetric part of requested strains and/or stresses.
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""", version = scriptID)
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parser.add_option('-e','--strain', dest='strain', action='extend', metavar='<string LIST>',
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help='heading(s) of columns containing strain tensors')
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parser.add_option('-s','--stress', dest='stress', action='extend', metavar='<string LIST>',
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help='heading(s) of columns containing stress tensors')
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parser.set_defaults(strain = [])
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parser.set_defaults(stress = [])
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(options,filenames) = parser.parse_args()
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if len(options.strain) + len(options.stress) == 0:
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parser.error('no data column specified...')
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datainfo = { # list of requested labels per datatype
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'strain': {'len':9,
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'label':[]},
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'stress': {'len':9,
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'label':[]},
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}
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if options.strain != None: datainfo['strain']['label'] += options.strain
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if options.stress != None: datainfo['stress']['label'] += options.stress
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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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active = defaultdict(list)
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column = defaultdict(dict)
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for datatype,info in datainfo.items():
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for label in info['label']:
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key = '1_%s'%label
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if key not in table.labels:
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file['croak'].write('column %s not found...\n'%key)
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else:
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active[datatype].append(label)
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column[datatype][label] = table.labels.index(key) # remember columns of requested data
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# ------------------------------------------ assemble header ---------------------------------------
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for datatype,labels in active.items(): # loop over vector,tensor
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for label in labels: # loop over all requested determinants
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table.labels_append('Mises(%s)'%label) # 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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for datatype,labels in active.items(): # loop over vector,tensor
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for label in labels: # loop over all requested norms
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table.data_append(Mises(datatype,
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np.array(map(float,table.data[column[datatype][label]:
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column[datatype][label]+datainfo[datatype]['len']]),'d').reshape(3,3)))
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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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