#!/usr/bin/env python # -*- coding: UTF-8 no BOM -*- import os,sys,string from collections import defaultdict from optparse import OptionParser import damask scriptID = string.replace('$Id$','\n','\\n') scriptName = os.path.splitext(scriptID.split()[1])[0] def determinant(m): return +m[0]*m[4]*m[8] \ +m[1]*m[5]*m[6] \ +m[2]*m[3]*m[7] \ -m[2]*m[4]*m[6] \ -m[1]*m[3]*m[8] \ -m[0]*m[5]*m[7] # -------------------------------------------------------------------- # MAIN # -------------------------------------------------------------------- parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """ Add column(s) containing determinant of requested tensor column(s). """, version = scriptID) parser.add_option('-t','--tensor', dest='tensor', action='extend', metavar='', help='heading of columns containing tensor field values') parser.set_defaults(tensor = []) (options,filenames) = parser.parse_args() if len(options.tensor) == 0: parser.error('no data column specified...') datainfo = { # list of requested labels per datatype 'tensor': {'len':9, 'label':[]}, } datainfo['tensor']['label'] += options.tensor # ------------------------------------------ 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 = [] column = defaultdict(dict) # --------------- figure out columns to process --------------------------------------------------- for label in datainfo['tensor']['label']: key = '1_%s'%label if key not in table.labels: file['croak'].write('column %s not found...\n'%key) else: active.append(label) column[label] = table.labels.index(key) # remember columns of requested data # ------------------------------------------ assemble header --------------------------------------- for label in active: table.labels_append('det(%s)'%label) # 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 for label in active: table.data_append(determinant(map(float,table.data[column[label]: column[label]+datainfo['tensor']['len']]))) outputAlive = table.data_write() # output processed line # ------------------------------------------ output result ----------------------------------------- outputAlive and table.output_flush() # just in case of buffered ASCII table table.input_close() # close input ASCII table (works for stdin) table.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