Eliminated redundant searches for similar orientations in neighboring points…speeds up script by 2 orders of magnitude
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202ee00049
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@ -193,7 +193,7 @@ for name in filenames:
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gID = grainID[i]
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gID = grainID[i]
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if gID != -1 and gID not in alreadyChecked: # an already indexed point belonging to a grain not yet tested?
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if gID != -1 and gID not in alreadyChecked: # an already indexed point belonging to a grain not yet tested?
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alreadyChecked[gID] = True # remember not to check again
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alreadyChecked[gID] = True # remember not to check again
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disorientation = o.disorientation(orientations[gID])[0] # compare against that grain's orientation
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disorientation = o.disorientation(orientations[gID],strict = False)[0] # compare against that grain's orientation [Don't search for axes falling into SST!]
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if disorientation.quaternion.w > cos_disorientation and \
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if disorientation.quaternion.w > cos_disorientation and \
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disorientation.quaternion.w >= bestDisorientation.w: # within disorientation threshold and better than current best?
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disorientation.quaternion.w >= bestDisorientation.w: # within disorientation threshold and better than current best?
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matched = True
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matched = True
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@ -219,7 +219,7 @@ for name in filenames:
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for i,orientation in enumerate(orientations[:-1]): # compare each identified orientation...
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for i,orientation in enumerate(orientations[:-1]): # compare each identified orientation...
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for j in xrange(i+1,len(orientations)): # ...against all others that were defined afterwards
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for j in xrange(i+1,len(orientations)): # ...against all others that were defined afterwards
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if orientation.disorientation(orientations[j])[0].quaternion.w > cos_disorientation: # similar orientations in both grainIDs?
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if orientation.disorientation(orientations[j],strict=False)[0].quaternion.w > cos_disorientation: # similar orientations in both grainIDs?
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similarOrientations[i].append(j) # remember in upper triangle...
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similarOrientations[i].append(j) # remember in upper triangle...
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similarOrientations[j].append(i) # ...and lower triangle of matrix
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similarOrientations[j].append(i) # ...and lower triangle of matrix
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