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Do not use insert to insert the Y height in the Layer data
Numpy's insert turns out to be slower than creating a new array and manually copying values. Contributes to CURA-708
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1 changed files with 8 additions and 6 deletions
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@ -97,15 +97,17 @@ class ProcessSlicedObjectListJob(Job):
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points = numpy.fromstring(polygon.points, dtype="i8") # Convert bytearray to numpy array
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points = points.reshape((-1,2)) # We get a linear list of pairs that make up the points, so make numpy interpret them correctly.
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points = numpy.asarray(points, dtype=numpy.float32)
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points /= 1000
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points = numpy.insert(points, 1, (layer.height / 1000), axis = 1)
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points[:,2] *= -1
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# Create a new 3D-array, copy the 2D points over and insert the right height.
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new_points = numpy.empty((len(points), 3), numpy.float32)
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new_points[:,0] = points[:,0]
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new_points[:,1] = layer.height
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new_points[:,2] = -points[:,1]
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points -= center
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new_points /= 1000
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new_points -= center
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layer_data.addPolygon(layer.id, polygon.type, points, polygon.line_width)
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layer_data.addPolygon(layer.id, polygon.type, new_points, polygon.line_width)
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Job.yieldThread()
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Job.yieldThread()
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current_layer += 1
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