Now, for each shortcut in this sequence, OsmAnd runs its highly optimized A* algorithm on the detailed map, but strictly limited to the small area of the cluster that shortcut belongs to.
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The model does the work, not the code. The inference code should be generic autoregressive decoding that would work with any transformer checkpoint. If your generation loop contains addition-specific logic — manually pairing digits, threading carry state, indexing into specific positions — then the Python code is solving the problem, not the model.