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The fix basically makes the
train()method follow the same pre-tokenization logic asencode(), so both are consistent about spaces and line breaks. Before, training could merge across boundaries thatencode()would never actually produce later.So by learning merges only inside these pre-tokenized chunks, we avoid weird vocabulary entries like tokens where Ġ shows up at the end.