208 lines
8.6 KiB
Python
Executable File
208 lines
8.6 KiB
Python
Executable File
#!/usr/bin/env python
|
|
# -*- coding: UTF-8 no BOM -*-
|
|
|
|
import os,sys,string,re,math
|
|
import numpy as np
|
|
from optparse import OptionParser
|
|
import damask
|
|
|
|
scriptID = string.replace('$Id$','\n','\\n')
|
|
scriptName = scriptID.split()[1][:-3]
|
|
|
|
#--------------------------------------------------------------------------------------------------
|
|
# MAIN
|
|
#--------------------------------------------------------------------------------------------------
|
|
synonyms = {
|
|
'grid': ['resolution'],
|
|
'size': ['dimension'],
|
|
}
|
|
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 options [file[s]]', description = """
|
|
Scales a geometry description independently in x, y, and z direction in terms of grid and/or size.
|
|
Either absolute values or relative factors (like "0.25x") can be used.
|
|
|
|
""", version = scriptID)
|
|
|
|
parser.add_option('-g', '--grid', dest='grid', nargs = 3, metavar = 'string string string', \
|
|
help='a,b,c grid of hexahedral box [unchanged]')
|
|
parser.add_option('-s', '--size', dest='size', nargs = 3, metavar = 'string string string', \
|
|
help='x,y,z size of hexahedral box [unchanged]')
|
|
parser.add_option('-r', '--renumber', dest='renumber', action='store_true', \
|
|
help='renumber microstructure indices from 1...N [%default]')
|
|
|
|
parser.set_defaults(renumber = False)
|
|
parser.set_defaults(grid = ['0','0','0'])
|
|
parser.set_defaults(size = ['0.0','0.0','0.0'])
|
|
|
|
(options, filenames) = parser.parse_args()
|
|
|
|
#--- setup file handles ---------------------------------------------------------------------------
|
|
files = []
|
|
if filenames == []:
|
|
files.append({'name':'STDIN',
|
|
'input':sys.stdin,
|
|
'output':sys.stdout,
|
|
'croak':sys.stderr,
|
|
})
|
|
else:
|
|
for name in filenames:
|
|
if os.path.exists(name):
|
|
files.append({'name':name,
|
|
'input':open(name),
|
|
'output':open(name+'_tmp','w'),
|
|
'croak':sys.stdout,
|
|
})
|
|
|
|
#--- loop over input files ------------------------------------------------------------------------
|
|
for file in files:
|
|
if file['name'] != 'STDIN': file['croak'].write('\033[1m'+scriptName+'\033[0m: '+file['name']+'\n')
|
|
else: file['croak'].write('\033[1m'+scriptName+'\033[0m\n')
|
|
|
|
table = damask.ASCIItable(file['input'],file['output'],labels=False)
|
|
table.head_read()
|
|
|
|
#--- interpret header ----------------------------------------------------------------------------
|
|
info = {
|
|
'grid': np.zeros(3,'i'),
|
|
'size': np.zeros(3,'d'),
|
|
'origin': np.zeros(3,'d'),
|
|
'homogenization': 0,
|
|
'microstructures': 0,
|
|
}
|
|
newInfo = {
|
|
'grid': np.zeros(3,'i'),
|
|
'size': np.zeros(3,'d'),
|
|
'microstructures': 0,
|
|
}
|
|
extra_header = []
|
|
|
|
for header in table.info:
|
|
headitems = map(str.lower,header.split())
|
|
if len(headitems) == 0: continue
|
|
for synonym,alternatives in synonyms.iteritems():
|
|
if headitems[0] in alternatives: headitems[0] = synonym
|
|
if headitems[0] in mappings.keys():
|
|
if headitems[0] in identifiers.keys():
|
|
for i in xrange(len(identifiers[headitems[0]])):
|
|
info[headitems[0]][i] = \
|
|
mappings[headitems[0]](headitems[headitems.index(identifiers[headitems[0]][i])+1])
|
|
else:
|
|
info[headitems[0]] = mappings[headitems[0]](headitems[1])
|
|
else:
|
|
extra_header.append(header)
|
|
|
|
file['croak'].write('grid a b c: %s\n'%(' x '.join(map(str,info['grid']))) + \
|
|
'size x y z: %s\n'%(' x '.join(map(str,info['size']))) + \
|
|
'origin x y z: %s\n'%(' : '.join(map(str,info['origin']))) + \
|
|
'homogenization: %i\n'%info['homogenization'] + \
|
|
'microstructures: %i\n'%info['microstructures'])
|
|
|
|
if np.any(info['grid'] < 1):
|
|
file['croak'].write('invalid grid a b c.\n')
|
|
continue
|
|
if np.any(info['size'] <= 0.0):
|
|
file['croak'].write('invalid size x y z.\n')
|
|
continue
|
|
|
|
#--- read data ------------------------------------------------------------------------------------
|
|
microstructure = np.zeros(info['grid'].prod(),'i')
|
|
i = 0
|
|
table.data_rewind()
|
|
while table.data_read():
|
|
items = table.data
|
|
if len(items) > 2:
|
|
if items[1].lower() == 'of': items = [int(items[2])]*int(items[0])
|
|
elif items[1].lower() == 'to': items = xrange(int(items[0]),1+int(items[2]))
|
|
else: items = map(int,items)
|
|
else: items = map(int,items)
|
|
|
|
s = len(items)
|
|
microstructure[i:i+s] = items
|
|
i += s
|
|
|
|
#--- do work ------------------------------------------------------------------------------------
|
|
|
|
newInfo['grid'] = np.array([{True:round(o*float(n.translate(None,'xX'))), False: round(float(n.translate(None,'xX')))}[n[-1].lower() == 'x'] for o,n in zip(info['grid'],options.grid)],'i')
|
|
newInfo['size'] = np.array([{True: o*float(n.translate(None,'xX')) , False: float(n.translate(None,'xX')) }[n[-1].lower() == 'x'] for o,n in zip(info['size'],options.size)],'d')
|
|
newInfo['grid'] = np.where(newInfo['grid'] <= 0 , info['grid'],newInfo['grid'])
|
|
newInfo['size'] = np.where(newInfo['size'] <= 0.0, info['size'],newInfo['size'])
|
|
|
|
multiplicity = []
|
|
for j in xrange(3):
|
|
multiplicity.append([])
|
|
last = 0
|
|
for i in xrange(info['grid'][j]):
|
|
this = int((i+1)*float(newInfo['grid'][j])/info['grid'][j])
|
|
multiplicity[j].append(this-last)
|
|
last = this
|
|
|
|
microstructure = microstructure.reshape(info['grid'],order='F')
|
|
microstructure = np.repeat(
|
|
np.repeat(
|
|
np.repeat(microstructure,multiplicity[0], axis=0),
|
|
multiplicity[1], axis=1),
|
|
multiplicity[2], axis=2)
|
|
# --- renumber to sequence 1...Ngrains if requested ------------------------------------------------
|
|
# http://stackoverflow.com/questions/10741346/np-frequency-counts-for-unique-values-in-an-array
|
|
if options.renumber:
|
|
newID=0
|
|
for microstructureID,count in enumerate(np.bincount(microstructure.reshape(newInfo['grid'].prod()))):
|
|
if count != 0:
|
|
newID+=1
|
|
microstructure=np.where(microstructure==microstructureID,newID,microstructure).reshape(microstructure.shape)
|
|
|
|
newInfo['microstructures'] = microstructure.max()
|
|
|
|
#--- report ---------------------------------------------------------------------------------------
|
|
if (any(newInfo['grid'] != info['grid'])):
|
|
file['croak'].write('--> grid a b c: %s\n'%(' x '.join(map(str,newInfo['grid']))))
|
|
if (any(newInfo['size'] != info['size'])):
|
|
file['croak'].write('--> size x y z: %s\n'%(' x '.join(map(str,newInfo['size']))))
|
|
if (newInfo['microstructures'] != info['microstructures']):
|
|
file['croak'].write('--> microstructures: %i\n'%newInfo['microstructures'])
|
|
|
|
if np.any(newInfo['grid'] < 1):
|
|
file['croak'].write('invalid new grid a b c.\n')
|
|
continue
|
|
if np.any(newInfo['size'] <= 0.0):
|
|
file['croak'].write('invalid new size x y z.\n')
|
|
continue
|
|
|
|
#--- write header ---------------------------------------------------------------------------------
|
|
table.labels_clear()
|
|
table.info_clear()
|
|
table.info_append(extra_header+[
|
|
scriptID + ' ' + ' '.join(sys.argv[1:]),
|
|
"grid\ta %i\tb %i\tc %i"%(newInfo['grid'][0],newInfo['grid'][1],newInfo['grid'][2],),
|
|
"size\tx %f\ty %f\tz %f"%(newInfo['size'][0],newInfo['size'][1],newInfo['size'][2],),
|
|
"origin\tx %f\ty %f\tz %f"%(info['origin'][0],info['origin'][1],info['origin'][2],),
|
|
"homogenization\t%i"%info['homogenization'],
|
|
"microstructures\t%i"%(newInfo['microstructures']),
|
|
])
|
|
table.head_write()
|
|
table.output_flush()
|
|
|
|
# --- write microstructure information ------------------------------------------------------------
|
|
formatwidth = int(math.floor(math.log10(microstructure.max())+1))
|
|
table.data = microstructure.reshape((newInfo['grid'][0],newInfo['grid'][1]*newInfo['grid'][2]),order='F').transpose()
|
|
table.data_writeArray('%%%ii'%(formatwidth),delimiter=' ')
|
|
|
|
#--- output finalization --------------------------------------------------------------------------
|
|
if file['name'] != 'STDIN':
|
|
table.input_close()
|
|
table.output_close()
|
|
os.rename(file['name']+'_tmp',file['name'])
|
|
|