using central functionality

This commit is contained in:
Martin Diehl 2019-12-08 09:18:15 +01:00
parent 9dc726ff53
commit 12564557e6
1 changed files with 29 additions and 77 deletions

View File

@ -1,9 +1,12 @@
#!/usr/bin/env python3
# -*- coding: UTF-8 no BOM -*-
import os,sys
import numpy as np
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]
@ -29,88 +32,37 @@ parser.add_option('-b',
action = 'extend', metavar = '<int LIST>',
dest = 'blacklist',
help = 'blacklist of grain IDs')
parser.add_option('-p',
'--pos', '--seedposition',
dest = 'pos',
type = 'string', metavar = 'string',
help = 'label of coordinates [%default]')
parser.set_defaults(whitelist = [],
blacklist = [],
pos = 'pos',
)
(options,filenames) = parser.parse_args()
options.whitelist = list(map(int,options.whitelist))
options.blacklist = list(map(int,options.blacklist))
# --- loop over output files -------------------------------------------------------------------------
if filenames == []: filenames = [None]
options.whitelist = [int(i) for i in options.whitelist]
options.blacklist = [int(i) for i in options.blacklist]
for name in filenames:
try: table = damask.ASCIItable(name = name,
outname = os.path.splitext(name)[0]+'.seeds' if name else name,
buffered = False,
labeled = False)
except: continue
damask.util.report(scriptName,name)
# --- interpret header ----------------------------------------------------------------------------
geom = damask.Geom.from_file(StringIO(''.join(sys.stdin.read())) if name is None else name)
microstructure = geom.get_microstructure().reshape((-1,1),order='F')
table.head_read()
info,extra_header = table.head_getGeom()
damask.util.report_geom(info)
mask = np.logical_and(np.in1d(microstructure,options.whitelist,invert=False) if options.whitelist else \
np.full(geom.grid.prod(),True,dtype=bool),
np.in1d(microstructure,options.blacklist,invert=True) if options.blacklist else \
np.full(geom.grid.prod(),True,dtype=bool))
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
seeds = np.concatenate((damask.grid_filters.cell_coord0(geom.grid,geom.size).reshape((-1,3)),
microstructure),
axis=1)[mask]
# --- read data ------------------------------------------------------------------------------------
comments = [scriptID + ' ' + ' '.join(sys.argv[1:]),
"grid\ta {}\tb {}\tc {}".format(*geom.grid),
"size\tx {}\ty {}\tz {}".format(*geom.size),
"origin\tx {}\ty {}\tz {}".format(*geom.origin),
"homogenization\t{}".format(geom.homogenization)]
microstructure = table.microstructure_read(info['grid']) # read (linear) microstructure
# --- generate grid --------------------------------------------------------------------------------
x = (0.5 + np.arange(info['grid'][0],dtype=float))/info['grid'][0]*info['size'][0]+info['origin'][0]
y = (0.5 + np.arange(info['grid'][1],dtype=float))/info['grid'][1]*info['size'][1]+info['origin'][1]
z = (0.5 + np.arange(info['grid'][2],dtype=float))/info['grid'][2]*info['size'][2]+info['origin'][2]
xx = np.tile( x, info['grid'][1]* info['grid'][2])
yy = np.tile(np.repeat(y,info['grid'][0] ),info['grid'][2])
zz = np.repeat(z,info['grid'][0]*info['grid'][1])
mask = np.logical_and(np.in1d(microstructure,options.whitelist,invert=False) if options.whitelist != []
else np.full_like(microstructure,True,dtype=bool),
np.in1d(microstructure,options.blacklist,invert=True ) if options.blacklist != []
else np.full_like(microstructure,True,dtype=bool))
# ------------------------------------------ assemble header ---------------------------------------
table.info_clear()
table.info_append(extra_header+[
scriptID + ' ' + ' '.join(sys.argv[1:]),
"grid\ta {}\tb {}\tc {}".format(*info['grid']),
"size\tx {}\ty {}\tz {}".format(*info['size']),
"origin\tx {}\ty {}\tz {}".format(*info['origin']),
"homogenization\t{}".format(info['homogenization']),
"microstructures\t{}".format(info['microstructures']),
])
table.labels_clear()
table.labels_append(['{dim}_{label}'.format(dim = 1+i,label = options.pos) for i in range(3)]+['microstructure'])
table.head_write()
table.output_flush()
# --- write seeds information ------------------------------------------------------------
table.data = np.squeeze(np.dstack((xx,yy,zz,microstructure)))[mask]
table.data_writeArray()
# ------------------------------------------ finalize output ---------------------------------------
table.close()
table = damask.Table(seeds,{'pos':(3,),'microstructure':(1,)},comments)
table.to_ASCII(sys.stdout if name is None else os.path.splitext(name)[0]+'.seeds')