#!/usr/bin/env python2
# -*- coding: UTF-8 no BOM -*-
import os,sys,math
import numpy as np
from optparse import OptionParser
import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
oversampling = 2.
#--------------------------------------------------------------------------------------------------
# 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 option(s) [geomfile(s)]', description = """
Positions a geometric object within the (three-dimensional) canvas of a spectral geometry description.
Depending on the sign of the dimension parameters, these objects can be boxes, cylinders, or ellipsoids.
""", version = scriptID)
parser.add_option('-c', '--center', dest='center', type='int', nargs = 3, metavar=' '.join(['int']*3),
help='a,b,c origin of primitive %default')
parser.add_option('-d', '--dimension', dest='dimension', type='int', nargs = 3, metavar=' '.join(['int']*3),
help='a,b,c extension of hexahedral box; negative values are diameters')
parser.add_option('-f', '--fill', dest='fill', type='int', metavar = 'int',
help='grain index to fill primitive. "0" selects maximum microstructure index + 1 [%default]')
parser.add_option('-q', '--quaternion', dest='quaternion', type='float', nargs = 4, metavar=' '.join(['float']*4),
help = 'rotation of primitive as quaternion')
parser.add_option('-a', '--angleaxis', dest='angleaxis', nargs = 4, metavar=' '.join(['float']*4),
help = 'rotation of primitive as angle and axis')
parser.add_option( '--degrees', dest='degrees', action='store_true',
help = 'angle is given in degrees [%default]')
parser.set_defaults(center = [0,0,0],
fill = 0,
quaternion = [],
angleaxis = [],
degrees = False,
)
(options, filenames) = parser.parse_args()
if options.angleaxis != []:
options.angleaxis = map(float,options.angleaxis)
rotation = damask.Quaternion().fromAngleAxis(np.radians(options.angleaxis[0]) if options.degrees else options.angleaxis[0],
options.angleaxis[1:4]).conjugated()
elif options.quaternion != []:
options.quaternion = map(float,options.quaternion)
rotation = damask.Quaternion(options.quaternion).conjugated()
else:
rotation = damask.Quaternion().conjugated()
options.center = np.array(options.center)
invRotation = rotation.conjugated() # rotation of gridpos into primitive coordinate system
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: filenames = [None]
for name in filenames:
try:
table = damask.ASCIItable(name = 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 microstructure
# --- do work ------------------------------------------------------------------------------------
newInfo = {
'microstructures': 0,
}
if options.fill == 0:
options.fill = microstructure.max()+1
microstructure = microstructure.reshape(info['grid'],order='F')
if options.dimension is not None:
mask = (np.array(options.dimension) < 0).astype(float) # zero where positive dimension, otherwise one
dim = abs(np.array(options.dimension)) # dimensions of primitive body
pos = np.zeros(3,dtype='float')
# hiresPrimitive = np.zeros((2*dim[0],2*dim[1],2*dim[2],3)) # primitive discretized at twice the grid resolution
for i,pos[0] in enumerate(np.arange(-dim[0]/oversampling,(dim[0]+1)/oversampling,1./oversampling)):
for j,pos[1] in enumerate(np.arange(-dim[1]/oversampling,(dim[1]+1)/oversampling,1./oversampling)):
for k,pos[2] in enumerate(np.arange(-dim[2]/oversampling,(dim[2]+1)/oversampling,1./oversampling)):
gridpos = np.floor(rotation*pos) # rotate and lock into spacial grid
primPos = invRotation*gridpos # rotate back to primitive coordinate system
if np.dot(mask*primPos/dim,mask*primPos/dim) <= 0.25 and \
np.all(abs((1.-mask)*primPos/dim) <= 0.5): # inside ellipsoid and inside box
microstructure[(gridpos[0]+options.center[0])%info['grid'][0],
(gridpos[1]+options.center[1])%info['grid'][1],
(gridpos[2]+options.center[2])%info['grid'][2]] = options.fill # assign microstructure index
newInfo['microstructures'] = microstructure.max()
# --- report ---------------------------------------------------------------------------------------
if ( newInfo['microstructures'] != info['microstructures']):
damask.util.croak('--> microstructures: %i'%newInfo['microstructures'])
#--- write header ---------------------------------------------------------------------------------
table.info_clear()
table.info_append([
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=newInfo['microstructures']),
extra_header
])
table.labels_clear()
table.head_write()
table.output_flush()
# --- write microstructure information ------------------------------------------------------------
formatwidth = int(math.floor(math.log10(microstructure.max())+1))
table.data = microstructure.reshape((info['grid'][0],info['grid'][1]*info['grid'][2]),order='F').transpose()
table.data_writeArray('%%%ii'%(formatwidth),delimiter = ' ')
#--- output finalization --------------------------------------------------------------------------
table.close()