#!/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 [geomfile(s)]', description = """ Translate geom description into ASCIItable containing position and microstructure. """, version = scriptID) parser.add_option('--float', dest = 'real', action = 'store_true', help = 'use float input') parser.set_defaults(real = False, ) (options, filenames) = parser.parse_args() datatype = 'f' if options.real else 'i' # --- loop over input files ------------------------------------------------------------------------- if filenames == []: filenames = [None] for name in filenames: try: table = damask.ASCIItable(name = name, outname = os.path.splitext(name)[0]+'.txt' if name else name, buffered = False, labeled = False, ) except: continue damask.util.report(scriptName,name) # --- interpret header ---------------------------------------------------------------------------- table.head_read() info,extra_header = table.head_getGeom() damask.util.croak(['grid a b c: %s'%(' x '.join(map(str,info['grid']))), 'size x y z: %s'%(' x '.join(map(str,info['size']))), 'origin x y z: %s'%(' : '.join(map(str,info['origin']))), 'homogenization: %i'%info['homogenization'], 'microstructures: %i'%info['microstructures'], ]) errors = [] if np.any(info['grid'] < 1): errors.append('invalid grid a b c.') if np.any(info['size'] <= 0.0): errors.append('invalid size x y z.') if errors != []: damask.util.croak(errors) table.close(dismiss = True) continue # --- read data ------------------------------------------------------------------------------------ microstructure = table.microstructure_read(info['grid'],datatype) # ------------------------------------------ assemble header --------------------------------------- table.info_clear() table.info_append(extra_header + [scriptID + '\t' + ' '.join(sys.argv[1:])]) table.labels_clear() table.labels_append(['{}_{}'.format(1+i,'pos') for i in range(3)]+['microstructure']) table.head_write() table.output_flush() #--- generate grid -------------------------------------------------------------------------------- x = (0.5 + np.arange(info['grid'][0],dtype=float))/info['grid'][0]*info['size'][0]+info['origin'][0] y = (0.5 + np.arange(info['grid'][1],dtype=float))/info['grid'][1]*info['size'][1]+info['origin'][1] z = (0.5 + np.arange(info['grid'][2],dtype=float))/info['grid'][2]*info['size'][2]+info['origin'][2] xx = np.tile( x, info['grid'][1]* info['grid'][2]) yy = np.tile(np.repeat(y,info['grid'][0] ),info['grid'][2]) zz = np.repeat(z,info['grid'][0]*info['grid'][1]) table.data = np.squeeze(np.dstack((xx,yy,zz,microstructure))) table.data_writeArray() # ------------------------------------------ finalize output --------------------------------------- table.close()