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* Refactor decode.py to make it more readable and more modular. * Fix an error. Nbest.fsa should always have token IDs as labels and word IDs as aux_labels. * Add nbest decoding. * Compute edit distance with k2. * Refactor nbest-oracle. * Add rescore with nbest lists. * Add whole-lattice rescoring. * Add rescoring with attention decoder. * Refactoring. * Fixes after refactoring. * Fix a typo. * Minor fixes. * Replace [] with () for shapes. * Use k2 v1.9 * Use Levenshtein graphs/alignment from k2 v1.9 * [doc] Require k2 >= v1.9 * Minor fixes.