159 lines
6.3 KiB
Python
Executable File
159 lines
6.3 KiB
Python
Executable File
#!/usr/bin/env python3
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import os
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import sys
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from optparse import OptionParser
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import numpy as np
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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 [ASCIItable(s)]', description = """
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Converts ASCII table. Input can be microstructure or orientation (as quaternion). For the latter,
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phase information can be given additionally.
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""", version = scriptID)
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parser.add_option('--coordinates',
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dest = 'pos',
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type = 'string', metavar = 'string',
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help = 'coordinates label (%default)')
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parser.add_option('--phase',
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dest = 'phase',
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type = 'string', metavar = 'string',
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help = 'phase label')
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parser.add_option('--microstructure',
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dest = 'microstructure',
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type = 'string', metavar = 'string',
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help = 'microstructure label')
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parser.add_option('-q', '--quaternion',
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dest = 'quaternion',
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type = 'string', metavar='string',
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help = 'quaternion label')
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parser.add_option('--axes',
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dest = 'axes',
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type = 'string', nargs = 3, metavar = ' '.join(['string']*3),
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help = 'orientation coordinate frame in terms of position coordinate frame [+x +y +z]')
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parser.add_option('--homogenization',
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dest = 'homogenization',
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type = 'int', metavar = 'int',
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help = 'homogenization index to be used [%default]')
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parser.set_defaults(homogenization = 1,
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pos = 'pos',
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)
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(options,filenames) = parser.parse_args()
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input = [options.quaternion is not None,
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options.microstructure is not None,
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]
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if np.sum(input) != 1:
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parser.error('need either microstructure or quaternion (and optionally phase) as input.')
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if options.microstructure is not None and options.phase is not None:
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parser.error('need either microstructure or phase (and mandatory quaternion) as input.')
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if options.axes is not None and not set(options.axes).issubset(set(['x','+x','-x','y','+y','-y','z','+z','-z'])):
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parser.error('invalid axes {} {} {}.'.format(*options.axes))
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(label,dim,inputtype) = [(options.quaternion,4,'quaternion'),
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(options.microstructure,1,'microstructure'),
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][np.where(input)[0][0]] # select input label that was requested
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if filenames == []: filenames = [None]
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for name in filenames:
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damask.util.report(scriptName,name)
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table = damask.ASCIItable(name = name,readonly=True)
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table.head_read() # read ASCII header info
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# ------------------------------------------ sanity checks ---------------------------------------
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coordDim = table.label_dimension(options.pos)
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errors = []
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if not 3 >= coordDim >= 2:
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errors.append('coordinates "{}" need to have two or three dimensions.'.format(options.pos))
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if not np.all(table.label_dimension(label) == dim):
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errors.append('input "{}" needs to have dimension {}.'.format(label,dim))
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if options.phase and table.label_dimension(options.phase) != 1:
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errors.append('phase column "{}" is not scalar.'.format(options.phase))
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if errors != []:
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damask.util.croak(errors)
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continue
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table.data_readArray([options.pos] \
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+ (label if isinstance(label, list) else [label]) \
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+ ([options.phase] if options.phase else []))
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if coordDim == 2:
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table.data = np.insert(table.data,2,np.zeros(len(table.data)),axis=1) # add zero z coordinate for two-dimensional input
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if options.phase is None:
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table.data = np.column_stack((table.data,np.ones(len(table.data)))) # add single phase if no phase column given
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grid,size = damask.util.coordGridAndSize(table.data[:,0:3])
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coords = [np.unique(table.data[:,i]) for i in range(3)]
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mincorner = np.array(list(map(min,coords)))
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origin = mincorner - 0.5*size/grid # shift from cell center to corner
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indices = np.lexsort((table.data[:,0],table.data[:,1],table.data[:,2])) # indices of position when sorting x fast, z slow
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microstructure = np.empty(grid,dtype = int) # initialize empty microstructure
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i = 0
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if inputtype == 'microstructure':
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for z in range(grid[2]):
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for y in range(grid[1]):
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for x in range(grid[0]):
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microstructure[x,y,z] = table.data[indices[i],3]
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i+=1
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config_header = []
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elif inputtype == 'quaternion':
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unique,unique_inverse = np.unique(table.data[:,3:8],return_inverse=True,axis=0)
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for z in range(grid[2]):
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for y in range(grid[1]):
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for x in range(grid[0]):
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microstructure[x,y,z] = unique_inverse[indices[i]]+1
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i+=1
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config_header = ['<texture>']
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for i,data in enumerate(unique):
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ori = damask.Rotation(data[0:4])
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config_header += ['[Grain{}]'.format(i+1),
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'(gauss)\tphi1 {:.2f}\tPhi {:.2f}\tphi2 {:.2f}'.format(*ori.asEulers(degrees = True)),
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]
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if options.axes is not None: config_header += ['axes\t{} {} {}'.format(*options.axes)]
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config_header += ['<microstructure>']
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for i,data in enumerate(unique):
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config_header += ['[Grain{}]'.format(i+1),
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'crystallite 1',
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'(constituent)\tphase {}\ttexture {}\tfraction 1.0'.format(int(data[4]),i+1),
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]
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header = [scriptID + ' ' + ' '.join(sys.argv[1:])]\
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+ config_header
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geom = damask.Geom(microstructure,size,origin,
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homogenization=options.homogenization,comments=header)
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damask.util.croak(geom)
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if name is None:
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sys.stdout.write(str(geom.show()))
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else:
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geom.to_file(os.path.splitext(name)[0]+'.geom')
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