#!/usr/bin/env python # -*- coding: UTF-8 no BOM -*- import os,sys,string,vtk import numpy as np from optparse import OptionParser import damask scriptID = string.replace('$Id$','\n','\\n') scriptName = os.path.splitext(scriptID.split()[1])[0] #-------------------------------------------------------------------------------------------------- # MAIN #-------------------------------------------------------------------------------------------------- identifiers = { 'grid': ['a','b','c'], 'size': ['x','y','z'], 'origin': ['x','y','z'], } mappings = { 'grid': lambda x: int(x), 'size': lambda x: float(x), 'origin': lambda x: float(x), 'homogenization': lambda x: int(x), 'microstructures': lambda x: int(x), } parser = OptionParser(option_class=damask.extendableOption, usage='%prog [geomfile[s]]', description = """ Produce ASCIItable of structure data from geom description """, version = scriptID) (options, filenames) = parser.parse_args() #--- 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, 'croak':sys.stdout, }) #--- loop over input files ------------------------------------------------------------------------ for file in files: if file['name'] != 'STDIN': file['input'] = open(file['name']) file['output'] = open(os.path.splitext(file['name'])[0]+'.txt','w') file['croak'].write('\033[1m' + scriptName + '\033[0m' + (': '+file['name'] if file['name'] != 'STDIN' else '') + '\n') theTable = damask.ASCIItable(file['input'],file['output'],labels = False) theTable.head_read() #--- interpret header ---------------------------------------------------------------------------- info = { 'grid': np.zeros(3,'i'), 'size': np.zeros(3,'d'), 'origin': np.zeros(3,'d'), 'homogenization': 0, 'microstructures': 0, } for header in theTable.info: headitems = map(str.lower,header.split()) if len(headitems) == 0: continue if headitems[0] in mappings.keys(): if headitems[0] in identifiers.keys(): for i in xrange(len(identifiers[headitems[0]])): info[headitems[0]][i] = \ mappings[headitems[0]](headitems[headitems.index(identifiers[headitems[0]][i])+1]) else: info[headitems[0]] = mappings[headitems[0]](headitems[1]) file['croak'].write('grid a b c: %s\n'%(' x '.join(map(str,info['grid']))) + \ 'size x y z: %s\n'%(' x '.join(map(str,info['size']))) + \ 'origin x y z: %s\n'%(' : '.join(map(str,info['origin']))) + \ 'homogenization: %i\n'%info['homogenization'] + \ 'microstructures: %i\n'%info['microstructures']) if np.any(info['grid'] < 1): file['croak'].write('invalid grid a b c.\n') continue if np.any(info['size'] <= 0.0): file['croak'].write('invalid size x y z.\n') continue # ------------------------------------------ assemble header --------------------------------------- theTable.labels_clear() theTable.labels_append(['%i_pos'%(i+1) for i in range(3)]+['microstructure']) theTable.head_write() #--- generate grid -------------------------------------------------------------------------------- xx = np.arange(float(info['grid'][0]))/info['grid'][0]*info['size'][0]+info['origin'][0] yy = np.arange(float(info['grid'][1]))/info['grid'][1]*info['size'][1]+info['origin'][1] zz = np.arange(float(info['grid'][2]))/info['grid'][2]*info['size'][2]+info['origin'][2] #--- read microstructure information -------------------------------------------------------------- i = 0 outputAlive = True while outputAlive and theTable.data_read(): items = theTable.data if len(items) > 2: if items[1].lower() == 'of': items = [int(items[2])]*int(items[0]) elif items[1].lower() == 'to': items = xrange(int(items[0]),1+int(items[2])) else: items = map(int,items) else: items = map(int,items) for item in items: theTable.data = [xx[ i%info['grid'][0]], yy[(i/info['grid'][0])%info['grid'][1]], zz[ i/info['grid'][0]/info['grid'][1]], item] i += 1 outputAlive = theTable.data_write() # output processed line if not outputAlive: break # ------------------------------------------ finalize output --------------------------------------- theTable.output_flush() # just in case of buffered ASCII table if file['name'] != 'STDIN': file['input'].close() # close input ASCII table file['output'].close() # close output ASCII table