updated help
This commit is contained in:
Philip Eisenlohr
parent
9e5a8d2391
commit
f42c316aa2
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@ -34,64 +34,71 @@ Reports positions with random crystal orientations in seeds file format to STDOU
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""", version = scriptID)
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parser.add_option('-N', dest='N',
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parser.add_option('-N',
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dest = 'N',
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type = 'int', metavar = 'int',
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help = 'number of seed points to distribute [%default]')
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parser.add_option('-g','--grid',
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help = 'number of seed points [%default]')
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parser.add_option('-g',
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'--grid',
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dest = 'grid',
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type = 'int', nargs = 3, metavar = 'int int int',
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help='min a,b,c grid of hexahedral box %default')
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parser.add_option('-m', '--microstructure',
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parser.add_option('-m',
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'--microstructure',
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dest = 'microstructure',
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type = 'int', metavar='int',
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type = 'int', metavar = 'int',
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help = 'first microstructure index [%default]')
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parser.add_option('-r', '--rnd',
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parser.add_option('-r',
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'--rnd',
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dest = 'randomSeed', type = 'int', metavar = 'int',
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help = 'seed of random number generator [%default]')
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parser.add_option('--format',
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dest = 'format', type = 'string', metavar = 'string',
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help = 'number format of output [auto]')
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help = 'output number format [auto]')
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group = OptionGroup(parser, "Laguerre Tessellation",
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"Parameters determining shape of weight distribution of seed points"
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)
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group.add_option('-w', '--weights',
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group.add_option( '-w',
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'--weights',
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action = 'store_true',
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dest = 'weights',
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help = 'assign random weigts to seed points for Laguerre tessellation [%default]')
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group.add_option('--max',
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help = 'assign random weights to seed points for Laguerre tessellation [%default]')
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group.add_option( '--max',
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dest = 'max',
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type = 'float', metavar = 'float',
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help = 'max of uniform distribution for weights [%default]')
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group.add_option('--mean',
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group.add_option( '--mean',
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dest = 'mean',
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type = 'float', metavar = 'float',
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help = 'mean of normal distribution for weights [%default]')
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group.add_option('--sigma',
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dest = 'sigma',
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type = 'float', metavar = 'float',
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help='standard deviation of normal distribution for weights [%default]')
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group.add_option( '--sigma',
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dest = 'sigma',
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type = 'float', metavar = 'float',
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help='standard deviation of normal distribution for weights [%default]')
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parser.add_option_group(group)
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group = OptionGroup(parser, "Selective Seeding",
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"More uniform distribution of seed points using Mitchell's Best Candidate Algorithm"
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)
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group.add_option('-s','--selective',
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group.add_option( '-s',
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'--selective',
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action = 'store_true',
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dest = 'selective',
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help = 'selective picking of seed points from random seed points [%default]')
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group.add_option('-f','--force',
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group.add_option( '-f',
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'--force',
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action = 'store_true',
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dest = 'force',
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help = 'try selective picking despite large seed point number [%default]')
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group.add_option('--distance',
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dest = 'distance',
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type = 'float', metavar = 'float',
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help = 'minimum distance to the next neighbor [%default]')
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group.add_option('--numCandidates',
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dest = 'numCandidates',
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type = 'int', metavar = 'int',
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help = 'size of point group to select best distance from [%default]')
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group.add_option( '--distance',
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dest = 'distance',
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type = 'float', metavar = 'float',
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help = 'minimum distance to next neighbor [%default]')
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group.add_option( '--numCandidates',
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dest = 'numCandidates',
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type = 'int', metavar = 'int',
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help = 'size of point group to select best distance from [%default]')
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parser.add_option_group(group)
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parser.set_defaults(randomSeed = None,
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@ -124,11 +131,9 @@ random.seed(options.randomSeed)
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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(outname = name,
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buffered = False)
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except:
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continue
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try: table = damask.ASCIItable(outname = name,
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buffered = False)
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except: continue
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damask.util.report(scriptName,name)
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# --- sanity checks -------------------------------------------------------------------------
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@ -136,7 +141,7 @@ for name in filenames:
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remarks = []
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errors = []
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if gridSize == 0:
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errors.append('zero grid dimension for %s.'%(', '.join([['a','b','c'][x] for x in np.where(options.grid == 0)[0]])))
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errors.append('zero grid dimension for {}.'.format(', '.join([['a','b','c'][x] for x in np.where(options.grid == 0)[0]])))
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if options.N > gridSize/10.: errors.append('seed count exceeds 0.1 of grid points.')
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if options.selective and 4./3.*math.pi*(options.distance/2.)**3*options.N > 0.5:
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(remarks if options.force else errors).append('maximum recommended seed point count for given distance is {}.{}'.
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@ -186,10 +191,8 @@ for name in filenames:
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seeds = seeds.T # prepare shape for stacking
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if options.weights:
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if options.max > 0.0:
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weights = [np.random.uniform(low = 0, high = options.max, size = options.N)]
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else:
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weights = [np.random.normal(loc = options.mean, scale = options.sigma, size = options.N)]
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weights = [np.random.uniform(low = 0, high = options.max, size = options.N)] if options.max > 0.0 \
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else [np.random.normal(loc = options.mean, scale = options.sigma, size = options.N)]
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else:
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weights = []
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seeds = np.transpose(np.vstack(tuple([seeds,
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@ -204,13 +207,13 @@ for name in filenames:
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table.info_clear()
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table.info_append([
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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=options.grid),
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"grid\ta {}\tb {}\tc {}".format(*options.grid),
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"microstructures\t{}".format(options.N),
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"randomSeed\t{}".format(options.randomSeed),
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])
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table.labels_clear()
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table.labels_append( ['{dim}_{label}'.format(dim = 1+k,label = 'pos') for k in xrange(3)] +
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['{dim}_{label}'.format(dim = 1+k,label = 'eulerangles') for k in xrange(3)] +
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['{dim}_{label}'.format(dim = 1+k,label = 'euler') for k in xrange(3)] +
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['microstructure'] +
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(['weight'] if options.weights else []))
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table.head_write()
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