DAMASK_EICMD/processing/pre/geom_rescale.py

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#!/usr/bin/env python3
# -*- coding: UTF-8 no BOM -*-
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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])
#--------------------------------------------------------------------------------------------------
# MAIN
#--------------------------------------------------------------------------------------------------
parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [geomfile(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',
type = 'string', nargs = 3, metavar = 'string string string',
help = 'a,b,c grid of hexahedral box [unchanged]')
parser.add_option('-s', '--size',
dest = 'size',
type = 'string', 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.add_option('--float',
dest = 'float',
action = 'store_true',
help = 'use float input')
parser.set_defaults(renumber = False,
grid = ['0','0','0'],
size = ['0.0','0.0','0.0'],
float = False,
)
(options, filenames) = parser.parse_args()
datatype = 'f' if options.float else 'i'
# --- loop over input files -------------------------------------------------------------------------
if filenames == []: filenames = [None]
for name in filenames:
try:
table = damask.ASCIItable(name = name,
buffered = False,
labeled = False)
except: continue
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damask.util.report(scriptName,name)
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# --- interpret header ----------------------------------------------------------------------------
table.head_read()
info,extra_header = table.head_getGeom()
damask.util.report_geom(info)
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 != []:
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damask.util.croak(errors)
table.close(dismiss = True)
continue
# --- read data ------------------------------------------------------------------------------------
microstructure = table.microstructure_read(info['grid'],datatype) # read microstructure
# --- do work ------------------------------------------------------------------------------------
newInfo = {
'grid': np.zeros(3,'i'),
'origin': np.zeros(3,'d'),
'microstructures': 0,
}
newInfo['grid'] = np.array([{True: round(o*float(n.lower().replace('x',''))),
False: round(float(n.lower().replace('x','')))}[n[-1].lower() == 'x']
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for o,n in zip(info['grid'],options.grid)],'i')
newInfo['size'] = np.array([{True: o*float(n.lower().replace('x','')),
False: float(n.lower().replace('x',''))}[n[-1].lower() == 'x']
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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 = []
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for j in range(3):
multiplicity.append([])
last = 0
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for i in range(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')
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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'] = len(np.unique(microstructure))
# --- report ---------------------------------------------------------------------------------------
remarks = []
errors = []
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if (any(newInfo['grid'] != info['grid'])):
remarks.append('--> grid a b c: %s'%(' x '.join(map(str,newInfo['grid']))))
if (any(newInfo['size'] != info['size'])):
remarks.append('--> size x y z: %s'%(' x '.join(map(str,newInfo['size']))))
if ( newInfo['microstructures'] != info['microstructures']):
remarks.append('--> microstructures: %i'%newInfo['microstructures'])
if np.any(newInfo['grid'] < 1): errors.append('invalid new grid a b c.')
if np.any(newInfo['size'] <= 0.0): errors.append('invalid new size x y z.')
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if remarks != []: damask.util.croak(remarks)
if errors != []:
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damask.util.croak(errors)
table.close(dismiss = True)
continue
# --- write header ---------------------------------------------------------------------------------
table.info_clear()
table.info_append(extra_header+[
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scriptID + ' ' + ' '.join(sys.argv[1:]),
"grid\ta {grid[0]}\tb {grid[1]}\tc {grid[2]}".format(grid=newInfo['grid']),
"size\tx {size[0]}\ty {size[1]}\tz {size[2]}".format(size=newInfo['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']),
])
table.labels_clear()
table.head_write()
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# --- write microstructure information ------------------------------------------------------------
format = '%g' if options.float else '%{}i'.format(int(math.floor(math.log10(np.nanmax(microstructure))+1)))
table.data = microstructure.reshape((newInfo['grid'][0],newInfo['grid'][1]*newInfo['grid'][2]),order='F').transpose()
table.data_writeArray(format,delimiter=' ')
# --- output finalization --------------------------------------------------------------------------
table.close() # close ASCII table