#!/usr/bin/env python3 import os import sys from io import StringIO from optparse import OptionParser import numpy as np 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 options [ASCIItable(s)]', description = """ Add column(s) containing gradient of requested column(s). Operates on periodic ordered three-dimensional data sets of scalar and vector fields. """, version = scriptID) parser.add_option('-p','--pos','--periodiccellcenter', dest = 'pos', type = 'string', metavar = 'string', help = 'label of coordinates [%default]') parser.add_option('-l','--label', dest = 'labels', action = 'extend', metavar = '', help = 'label(s) of field values') parser.set_defaults(pos = 'pos', ) (options,filenames) = parser.parse_args() if filenames == []: filenames = [None] if options.labels is None: parser.error('no data column specified.') for name in filenames: damask.util.report(scriptName,name) table = damask.Table.from_ASCII(StringIO(''.join(sys.stdin.read())) if name is None else name) grid,size = damask.util.coordGridAndSize(table.get_array(options.pos)) for label in options.labels: field = table.get_array(label) shape = (1,) if np.prod(field.shape)//np.prod(grid) == 1 else (3,) # scalar or vector field = field.reshape(np.append(grid[::-1],shape)) table.add_array('gradFFT({})'.format(label), damask.grid_filters.gradient(size[::-1],field).reshape((-1,np.prod(shape)*3)), scriptID+' '+' '.join(sys.argv[1:])) table.to_ASCII(sys.stdout if name is None else name)