95 lines
3.6 KiB
Python
Executable File
95 lines
3.6 KiB
Python
Executable File
#!/usr/bin/env python2.7
|
|
# -*- coding: UTF-8 no BOM -*-
|
|
|
|
import os,sys,math
|
|
import numpy as np
|
|
import damask
|
|
from scipy import ndimage
|
|
from optparse import OptionParser
|
|
|
|
scriptName = os.path.splitext(os.path.basename(__file__))[0]
|
|
scriptID = ' '.join([scriptName,damask.version])
|
|
|
|
def mostFrequent(arr):
|
|
return np.argmax(np.bincount(arr))
|
|
|
|
|
|
#--------------------------------------------------------------------------------------------------
|
|
# MAIN
|
|
#--------------------------------------------------------------------------------------------------
|
|
|
|
parser = OptionParser(option_class=damask.extendableOption, usage='%prog option(s) [geomfile(s)]', description = """
|
|
Smooth geometry by selecting most frequent microstructure index within given stencil at each location.
|
|
|
|
""", version=scriptID)
|
|
|
|
|
|
parser.add_option('-s','--stencil',
|
|
dest = 'stencil',
|
|
type = 'int', metavar = 'int',
|
|
help = 'size of smoothing stencil [%default]')
|
|
|
|
parser.set_defaults(stencil = 3,
|
|
)
|
|
|
|
(options, filenames) = parser.parse_args()
|
|
|
|
|
|
# --- 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: {}'.format(' x '.join(map(str,info['grid']))),
|
|
'size x y z: {}'.format(' x '.join(map(str,info['size']))),
|
|
'origin x y z: {}'.format(' : '.join(map(str,info['origin']))),
|
|
'homogenization: {}'.format(info['homogenization']),
|
|
'microstructures: {}'.format(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']).reshape(info['grid'],order='F') # read microstructure
|
|
|
|
# --- do work ------------------------------------------------------------------------------------
|
|
|
|
microstructure = ndimage.filters.generic_filter(microstructure,mostFrequent,size=(options.stencil,)*3)
|
|
|
|
# --- write header ---------------------------------------------------------------------------------
|
|
|
|
table.info_clear()
|
|
table.info_append([scriptID + ' ' + ' '.join(sys.argv[1:]),])
|
|
table.head_putGeom(info)
|
|
table.info_append([extra_header])
|
|
table.labels_clear()
|
|
table.head_write()
|
|
|
|
# --- write microstructure information ------------------------------------------------------------
|
|
|
|
formatwidth = int(math.floor(math.log10(microstructure.max())+1))
|
|
table.data = microstructure.reshape((info['grid'][0],np.prod(info['grid'][1:])),order='F').transpose()
|
|
table.data_writeArray('%%%ii'%(formatwidth),delimiter = ' ')
|
|
|
|
# --- output finalization --------------------------------------------------------------------------
|
|
|
|
table.close() # close ASCII table
|