162 lines
6.9 KiB
Python
Executable File
162 lines
6.9 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,math
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import numpy as np
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from optparse import OptionParser
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import damask
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scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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#--------------------------------------------------------------------------------------------------
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# MAIN
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#--------------------------------------------------------------------------------------------------
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parser = OptionParser(option_class=damask.extendableOption, usage='%prog options [geomfile(s)]', description = """
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Scales a geometry description independently in x, y, and z direction in terms of grid and/or size.
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Either absolute values or relative factors (like "0.25x") can be used.
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""", version = scriptID)
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parser.add_option('-g', '--grid',
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dest = 'grid',
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type = 'string', nargs = 3, metavar = 'string string string',
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help = 'a,b,c grid of hexahedral box [unchanged]')
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parser.add_option('-s', '--size',
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dest = 'size',
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type = 'string', nargs = 3, metavar = 'string string string',
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help = 'x,y,z size of hexahedral box [unchanged]')
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parser.add_option('-r', '--renumber',
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dest = 'renumber',
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action = 'store_true',
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help = 'renumber microstructure indices from 1..N [%default]')
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parser.set_defaults(renumber = False,
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grid = ['0','0','0'],
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size = ['0.0','0.0','0.0'],
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)
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(options, filenames) = parser.parse_args()
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# --- loop over input files -------------------------------------------------------------------------
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if filenames == []: filenames = [None]
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for name in filenames:
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try:
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table = damask.ASCIItable(name = name,
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buffered = False, labeled = False)
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except: continue
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damask.util.report(scriptName,name)
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# --- interpret header ----------------------------------------------------------------------------
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table.head_read()
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info,extra_header = table.head_getGeom()
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damask.util.croak(['grid a b c: %s'%(' x '.join(map(str,info['grid']))),
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'size x y z: %s'%(' x '.join(map(str,info['size']))),
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'origin x y z: %s'%(' : '.join(map(str,info['origin']))),
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'homogenization: %i'%info['homogenization'],
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'microstructures: %i'%info['microstructures'],
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])
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errors = []
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if np.any(info['grid'] < 1): errors.append('invalid grid a b c.')
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if np.any(info['size'] <= 0.0): errors.append('invalid size x y z.')
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if errors != []:
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damask.util.croak(errors)
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table.close(dismiss = True)
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continue
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# --- read data ------------------------------------------------------------------------------------
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microstructure = table.microstructure_read(info['grid']) # read microstructure
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# --- do work ------------------------------------------------------------------------------------
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newInfo = {
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'grid': np.zeros(3,'i'),
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'origin': np.zeros(3,'d'),
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'microstructures': 0,
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}
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newInfo['grid'] = np.array([{True: round(o*float(n.lower().replace('x',''))),
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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')
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newInfo['size'] = np.array([{True: o*float(n.lower().replace('x','')),
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False: float(n.lower().replace('x',''))}[n[-1].lower() == 'x']
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for o,n in zip(info['size'],options.size)],'d')
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newInfo['grid'] = np.where(newInfo['grid'] <= 0 , info['grid'],newInfo['grid'])
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newInfo['size'] = np.where(newInfo['size'] <= 0.0, info['size'],newInfo['size'])
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multiplicity = []
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for j in range(3):
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multiplicity.append([])
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last = 0
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for i in range(info['grid'][j]):
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this = int((i+1)*float(newInfo['grid'][j])/info['grid'][j])
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multiplicity[j].append(this-last)
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last = this
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microstructure = microstructure.reshape(info['grid'],order='F')
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microstructure = np.repeat(np.repeat(np.repeat(microstructure,
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multiplicity[0], axis=0),multiplicity[1], axis=1),multiplicity[2], axis=2)
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# --- renumber to sequence 1...Ngrains if requested ------------------------------------------------
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# http://stackoverflow.com/questions/10741346/np-frequency-counts-for-unique-values-in-an-array
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if options.renumber:
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newID = 0
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for microstructureID,count in enumerate(np.bincount(microstructure.reshape(newInfo['grid'].prod()))):
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if count != 0:
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newID += 1
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microstructure = np.where(microstructure == microstructureID, newID,microstructure).reshape(microstructure.shape)
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newInfo['microstructures'] = microstructure.max()
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# --- report ---------------------------------------------------------------------------------------
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remarks = []
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errors = []
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if (any(newInfo['grid'] != info['grid'])):
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remarks.append('--> grid a b c: %s'%(' x '.join(map(str,newInfo['grid']))))
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if (any(newInfo['size'] != info['size'])):
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remarks.append('--> size x y z: %s'%(' x '.join(map(str,newInfo['size']))))
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if ( newInfo['microstructures'] != info['microstructures']):
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remarks.append('--> microstructures: %i'%newInfo['microstructures'])
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if np.any(newInfo['grid'] < 1): errors.append('invalid new grid a b c.')
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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)
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if errors != []:
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damask.util.croak(errors)
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table.close(dismiss = True)
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continue
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# --- write header ---------------------------------------------------------------------------------
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table.info_clear()
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table.info_append(extra_header+[
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scriptID + ' ' + ' '.join(sys.argv[1:]),
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"grid\ta {grid[0]}\tb {grid[1]}\tc {grid[2]}".format(grid=newInfo['grid']),
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"size\tx {size[0]}\ty {size[1]}\tz {size[2]}".format(size=newInfo['size']),
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"origin\tx {origin[0]}\ty {origin[1]}\tz {origin[2]}".format(origin=info['origin']),
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"homogenization\t{homog}".format(homog=info['homogenization']),
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"microstructures\t{microstructures}".format(microstructures=newInfo['microstructures']),
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])
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table.labels_clear()
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table.head_write()
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# --- write microstructure information ------------------------------------------------------------
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formatwidth = int(math.floor(math.log10(microstructure.max())+1))
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table.data = microstructure.reshape((newInfo['grid'][0],newInfo['grid'][1]*newInfo['grid'][2]),order='F').transpose()
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table.data_writeArray('%%%ii'%(formatwidth),delimiter = ' ')
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# --- output finalization --------------------------------------------------------------------------
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table.close() # close ASCII table
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