fixed buggy a.all() call
removed squaring of Laguerre weights (no clue why we considered this a good idea in the first place)
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@ -73,18 +73,18 @@ def laguerreTessellation(undeformed, coords, weights, grains, nonperiodic = Fals
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[ 1, 1, 1 ],
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]).astype(float)*info['size']
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squaredweights = np.power(np.tile(weights,len(copies)),2) # Laguerre weights (squared, size N*n)
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repeatweights = np.repeat(weights,len(copies),axis=1).flatten(order='F') # Laguerre weights (1,2,3,1,2,3,...,1,2,3)
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for i,vec in enumerate(copies): # periodic copies of seed points (size N*n)
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try: seeds = np.append(seeds, coords+vec, axis=0)
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for i,vec in enumerate(copies): # periodic copies of seed points ...
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try: seeds = np.append(seeds, coords+vec, axis=0) # ... (1+a,2+a,3+a,...,1+z,2+z,3+z)
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except NameError: seeds = coords+vec
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if all(squaredweights == 0.0): # standard Voronoi (no weights, KD tree)
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if (repeatweights == 0.0).all(): # standard Voronoi (no weights, KD tree)
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myKDTree = spatial.cKDTree(seeds)
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devNull,closestSeeds = myKDTree.query(undeformed)
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else:
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damask.util.croak('...using {} cpu{}'.format(options.cpus, 's' if options.cpus > 1 else ''))
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arguments = [[arg] + [seeds,squaredweights] for arg in list(undeformed)]
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arguments = [[arg] + [seeds,repeatweights] for arg in list(undeformed)]
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if cpus > 1: # use multithreading
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pool = multiprocessing.Pool(processes = cpus) # initialize workers
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