o 2wi1 @sddlmZddlZddlmZddlmZddlmZej e dddej d ej ddd d ej d e d ej d dedgdddej ddedddd ed edeedefddZdS))SequenceN)prepareprepare_wenet_speech)PathlikeT) show_default)context_settings corpus_dir)existsdir_okay)type output_dirz-pz--dataset-partsallzkList of dataset parts to prepare. To prepare multiple parts,pass each with `-p` Example: `-p M -p TEST_NET`)r defaultmultiplehelpz-jz --num-jobszBHow many threads to use (can give good speed-ups with slow disks).)r rr dataset_partsnum_jobscCst||||ddS)z- The WenetSpeech corpus preparation. )r rrNr)r r rrrb/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/lhotse/bin/modes/recipes/wenet_speech.py wenet_speech s  r)typingrclicklhotse.bin.modesrlhotse.recipes.wenet_speechr lhotse.utilsrcommanddictargumentPathoptionstrintrrrrrs@