167 lines
7.1 KiB
Python
Executable File
167 lines
7.1 KiB
Python
Executable File
#!/usr/bin/env python2.7
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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 option(s) [geomfile(s)]', description = """
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Changes the (three-dimensional) canvas of a spectral geometry description.
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Grid can be given as absolute or relative values, e.g. 16 16 16 or 2x 0.5x 32.
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""", version = scriptID)
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parser.add_option('-g',
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'--grid',
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dest = 'grid',
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type = 'string', nargs = 3, metavar = ' '.join(['string']*3),
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help = 'a,b,c grid of hexahedral box. [auto]')
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parser.add_option('-o',
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'--offset',
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dest = 'offset',
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type = 'int', nargs = 3, metavar = ' '.join(['int']*3),
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help = 'a,b,c offset from old to new origin of grid [%default]')
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parser.add_option('-f',
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'--fill',
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dest = 'fill',
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type = 'float', metavar = 'float',
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help = '(background) canvas grain index. "0" selects maximum microstructure index + 1 [%default]')
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parser.add_option('--float',
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dest = 'real',
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action = 'store_true',
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help = 'use float input')
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parser.set_defaults(grid = ['0','0','0'],
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offset = (0,0,0),
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fill = 0,
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real = False,
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)
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(options, filenames) = parser.parse_args()
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datatype = 'f' if options.real else 'i'
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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: table = damask.ASCIItable(name = name,
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buffered = False,
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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.report_geom(info)
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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'],datatype).reshape(info['grid'],order='F') # 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([int(o*float(n.translate(None,'xX'))) if n[-1].lower() == 'x'\
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else int(n) for o,n in zip(info['grid'],options.grid)],'i')
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newInfo['grid'] = np.where(newInfo['grid'] > 0, newInfo['grid'],info['grid'])
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microstructure_cropped = np.zeros(newInfo['grid'],datatype)
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microstructure_cropped.fill(options.fill if options.real or options.fill > 0 else microstructure.max()+1)
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xindex = list(set(range(options.offset[0],options.offset[0]+newInfo['grid'][0])) & \
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set(range(info['grid'][0])))
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yindex = list(set(range(options.offset[1],options.offset[1]+newInfo['grid'][1])) & \
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set(range(info['grid'][1])))
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zindex = list(set(range(options.offset[2],options.offset[2]+newInfo['grid'][2])) & \
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set(range(info['grid'][2])))
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translate_x = [i - options.offset[0] for i in xindex]
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translate_y = [i - options.offset[1] for i in yindex]
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translate_z = [i - options.offset[2] for i in zindex]
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if 0 in map(len,[xindex,yindex,zindex,translate_x,translate_y,translate_z]):
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damask.util.croak('invaldid grid-offset combination.')
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table.close(dismiss = True)
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continue
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microstructure_cropped[min(translate_x):(max(translate_x)+1),\
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min(translate_y):(max(translate_y)+1),\
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min(translate_z):(max(translate_z)+1)] \
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= microstructure[min(xindex):(max(xindex)+1),\
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min(yindex):(max(yindex)+1),\
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min(zindex):(max(zindex)+1)]
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newInfo['size'] = info['size']/info['grid']*newInfo['grid']
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newInfo['origin'] = info['origin']+info['size']/info['grid']*options.offset
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newInfo['microstructures'] = microstructure_cropped.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: {}'.format(' 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: {}'.format(' x '.join(map(str,newInfo['size']))))
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if (any(newInfo['origin'] != info['origin'])):
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remarks.append('--> origin x y z: {}'.format(' : '.join(map(str,newInfo['origin']))))
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if ( newInfo['microstructures'] != info['microstructures']):
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remarks.append('--> microstructures: {}'.format(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 {}\tb {}\tc {}".format(*newInfo['grid']),
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"size\tx {}\ty {}\tz {}".format(*newInfo['size']),
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"origin\tx {}\ty {}\tz {}".format(*newInfo['origin']),
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"homogenization\t{}".format(info['homogenization']),
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"microstructures\t{}".format(newInfo['microstructures']),
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])
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table.labels_clear()
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table.head_write()
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table.output_flush()
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# --- write microstructure information ------------------------------------------------------------
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format = '%g' if options.real else '%{}i'.format(int(math.floor(math.log10(microstructure_cropped.max())+1)))
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table.data = microstructure_cropped.reshape((newInfo['grid'][0],newInfo['grid'][1]*newInfo['grid'][2]),order='F').transpose()
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table.data_writeArray(format,delimiter=' ')
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# --- output finalization --------------------------------------------------------------------------
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table.close() # close ASCII table
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