#!/usr/bin/env python3 import os import argparse import numpy as np import damask scriptName = os.path.splitext(os.path.basename(__file__))[0] scriptID = ' '.join([scriptName,damask.version]) # -------------------------------------------------------------------- # MAIN # -------------------------------------------------------------------- parser = argparse.ArgumentParser() parser.add_argument('filenames', nargs='+', help='DADF5 files') parser.add_argument('-d','--dir', dest='dir',default='postProc',metavar='string', help='name of subdirectory relative to the location of the DADF5 file to hold output') parser.add_argument('--mat', nargs='+', help='labels for materialpoint',dest='mat') parser.add_argument('--con', nargs='+', help='labels for constituent',dest='con') options = parser.parse_args() if options.mat is None: options.mat=[] if options.con is None: options.con=[] for filename in options.filenames: results = damask.Result(filename) if not results.structured: continue coords = damask.grid_filters.cell_coord0(results.grid,results.size,results.origin) N_digits = int(np.floor(np.log10(int(results.increments[-1][3:]))))+1 N_digits = 5 # hack to keep test intact for inc in damask.util.show_progress(results.iter_visible('increments'),len(results.increments)): table = damask.Table(np.ones(np.product(results.grid),dtype=int)*int(inc[3:]),{'inc':(1,)}) table.add('pos',coords.reshape(-1,3)) results.pick('materialpoints',False) results.pick('constituents', True) for label in options.con: x = results.get_dataset_location(label) if len(x) != 0: table.add(label,results.read_dataset(x,0,plain=True).reshape(results.grid.prod(),-1)) results.pick('constituents', False) results.pick('materialpoints',True) for label in options.mat: x = results.get_dataset_location(label) if len(x) != 0: table.add(label,results.read_dataset(x,0,plain=True).reshape(results.grid.prod(),-1)) dirname = os.path.abspath(os.path.join(os.path.dirname(filename),options.dir)) if not os.path.isdir(dirname): os.mkdir(dirname,0o755) file_out = '{}_inc{}.txt'.format(os.path.splitext(os.path.split(filename)[-1])[0], inc[3:].zfill(N_digits)) table.to_ASCII(os.path.join(dirname,file_out))