93 lines
3.6 KiB
Python
Executable File
93 lines
3.6 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: UTF-8 no BOM -*-
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import os,sys,string,vtk
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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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scriptID = string.replace('$Id$','\n','\\n')
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scriptName = os.path.splitext(scriptID.split()[1])[0]
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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 [geomfile[s]]', description = """
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Produce ASCIItable of structure data from geom description
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""", version = scriptID)
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parser.add_option('-p','--position',
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dest = 'position',
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type = 'string', metavar = 'string',
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help = 'column label for position [%default]')
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parser.set_defaults(position = 'pos',
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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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outname = os.path.splitext(name)[0]+'.txt' if name else name,
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buffered = False, labeled = False)
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except: continue
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table.croak('\033[1m'+scriptName+'\033[0m'+(': '+name if name else ''))
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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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table.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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table.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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# ------------------------------------------ assemble header ---------------------------------------
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table.info_clear()
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table.info_append(extra_header + [scriptID + '\t' + ' '.join(sys.argv[1:])])
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table.labels_clear()
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table.labels_append(['{dim}_{label}'.format(dim = 1+i,label = options.position) for i in range(3)]+['microstructure'])
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table.head_write()
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table.output_flush()
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#--- generate grid --------------------------------------------------------------------------------
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x = (0.5 + np.arange(info['grid'][0],dtype=float))/info['grid'][0]*info['size'][0]+info['origin'][0]
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y = (0.5 + np.arange(info['grid'][1],dtype=float))/info['grid'][1]*info['size'][1]+info['origin'][1]
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z = (0.5 + np.arange(info['grid'][2],dtype=float))/info['grid'][2]*info['size'][2]+info['origin'][2]
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xx = np.tile( x, info['grid'][1]* info['grid'][2])
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yy = np.tile(np.repeat(y,info['grid'][0] ),info['grid'][2])
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zz = np.repeat(z,info['grid'][0]*info['grid'][1])
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table.data = np.squeeze(np.dstack((xx,yy,zz,microstructure)))
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table.data_writeArray()
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# ------------------------------------------ finalize output ---------------------------------------
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table.close()
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