#!/usr/bin/env python # -*- coding: UTF-8 no BOM -*- import os,sys,string 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 #-------------------------------------------------------------------------------------------------- parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [file[s]]', description = """ Create seed file taking microstructure indices from given geom file but excluding black-listed grains. """, version = scriptID) parser.add_option('-w','--white', action = 'extend', metavar='', dest = 'whitelist', help = 'whitelist of grain IDs') parser.add_option('-b','--black', action = 'extend', metavar='', dest = 'blacklist', help = 'blacklist of grain IDs') parser.add_option('-p','--position', dest = 'position', type = 'string', metavar = 'string', help = 'column label for coordinates [%default]') parser.set_defaults(whitelist = [], blacklist = [], position = 'pos', ) (options,filenames) = parser.parse_args() options.whitelist = map(int,options.whitelist) options.blacklist = map(int,options.blacklist) # --- loop over output files ------------------------------------------------------------------------- if filenames == []: filenames = [None] for name in filenames: try: table = damask.ASCIItable(name = name, outname = os.path.splitext(name)[0]+'.seeds' 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']) # read (linear) microstructure # --- 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]) mask = np.logical_and(np.in1d(microstructure,options.whitelist,invert=False) if options.whitelist != [] else np.full_like(microstructure,True,dtype=bool), np.in1d(microstructure,options.blacklist,invert=True ) if options.blacklist != [] else np.full_like(microstructure,True,dtype=bool)) # ------------------------------------------ assemble header --------------------------------------- table.info_clear() table.info_append(extra_header+[ scriptID + ' ' + ' '.join(sys.argv[1:]), "grid\ta {grid[0]}\tb {grid[1]}\tc {grid[2]}".format(grid=info['grid']), "size\tx {size[0]}\ty {size[1]}\tz {size[2]}".format(size=info['size']), "origin\tx {origin[0]}\ty {origin[1]}\tz {origin[2]}".format(origin=info['origin']), "homogenization\t{homog}".format(homog=info['homogenization']), "microstructures\t{microstructures}".format(microstructures=info['microstructures']), ]) table.labels_clear() table.labels_append(['{dim}_{label}'.format(dim = 1+i,label = options.position) for i in range(3)]+['microstructure']) table.head_write() table.output_flush() # --- write seeds information ------------------------------------------------------------ table.data = np.squeeze(np.dstack((xx,yy,zz,microstructure)))[mask] table.data_writeArray() # ------------------------------------------ finalize output --------------------------------------- table.close()