o Si @sddlZddlmZddlmZddlmZdgZeje dddej d ej ddd d ej d e d ej d e dddej ddedddd ed ede defddZdS)N)prepare prepare_mls)PathlikemlsT) show_default)context_settings corpus_dir)existsdir_okay)type output_dirz --opus/--flacz)Which codec should be used (OPUS or FLAC))r defaulthelpz-jz --num-jobszBHow many threads to use (can give good speed-ups with slow disks).opusnum_jobscCst||||ddS)a Multilingual Librispeech (MLS) data preparation. Multilingual LibriSpeech (MLS) dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. It is available at OpenSLR: http://openslr.org/94 )rr rNr)r r rrrP/home/ubuntu/.local/lib/python3.10/site-packages/lhotse/bin/modes/recipes/mls.pyr s)clicklhotse.bin.modesrlhotse.recipes.mlsr lhotse.utilsr__all__commanddictargumentPathoptionboolintrrrrrs,   (