o 2wi"@sddlZddlmZmZddlmZddlmZddlm Z m Z ddl Z ddl Z ddl mZmZmZddlmZddlmZdd lmZdd lmZed d Zejed dde jde jd ddde jde de jddde gddde jddde gddde jdd d gd!d"e jd#d$e d%d&d'e jd(d d)d*e jd+dd,d*e jd-de d.de jd/d0d1e d2de jd3d4d d5de!de!d6e!d7e!d8e e!d9e d:e"d;e"de"fd?d@Z#ejed dde jdAe jd ddBde jddCe jd dddDdEe jddFe dGdHgdGdId'e jd/d0d1e dJde jd3d4d d5dAe!dKe e!dLe!d=e d>e f dMdNZ$dedKedOedLe!fdPdQZ%dS)RN)ProcessPoolExecutor as_completed)partial)Path)ListOptional)CutSetFbankFeatureExtractor)cli)MemoryRawWriter)ArrayTarWriter)PathlikecCsdS)z-Lhotse Shar format for optimized I/O commandsNrrrR/home/ubuntu/sommelier/.venv/lib/python3.10/site-packages/lhotse/bin/modes/shar.pysharsrT) show_default)context_settingscutsF)existsdir_okay)typeoutdirz-az--audionone)rwavflacmp3opusoriginalzFormat in which to export audio. Original will save in the same format as the original audio (disabled by default, enabling will make a copy of the data))defaultrhelpz-fz --features)rlilcomnumpyz_Format in which to export features (disabled by default, enabling will make a copy of the data)z-cz--customzCustom fields to export. Use syntax NAME:FORMAT, e.g.: -c target_recording:flac -c embedding:numpy. Use format options for audio and features depending on the custom fields type, or 'jsonl' for metadata.)multiplerr z-sz --shard-sizeiz%The number of cuts in a single shard.)rrr z--shuffle/--no-shufflez8Should we shuffle the cuts before splitting into shards.)rr z--fault-tolerant/--fast-failzDShould we skip over cuts that failed to load data or raise an error.z--seedz Random seed.z-jz --num-jobszNumber of parallel workers. We recommend to keep this number low on machines with slow disks as the speed of I/O will likely be the bottleneck.z-vz --verbose)countaudiofeaturescustom shard_sizeshufflefault_tolerantseednum_jobsverbosec Cst|}|r|jt|d}i} |dkr|| d<|dkr"|| d<|r4|D] } | d\} }|| | <q&t|jddd|j|| || || dd S) aV Export CutSet from CUTS into Lhotse Shar format in OUTDIR. This script partitions the input manifest into smaller pieces called shards with SHARD_SIZE cuts per shard. The input is optionally shuffled. In addition to sharding, the user can choose to export AUDIO or FEATURES into sequentially readable tar files with a selected compression type. This typically yields very high speedups vs random read formats such as HDF5, especially on slower disks or clusters, at the expense of a data copy. The result is readable in Python using: CutSet.from_shar(OUTDIR) )rngr recordingr':T)parentsexist_ok) output_dirfieldsr)r-r+r.N) r from_filer*randomRandomsplitrmkdirto_shar)rrr&r'r(r)r*r+r,r-r.r5itemkeyfmtrrrexports* L  r?shar_dir)r file_okayz--feature-configzTOptional manifest specifying feature extractor configuration (use Fbank by default).)rr z --compressionr!r"z>Which compression to use (lilcom is lossy, numpy is lossless).zNumber of parallel workers.feature_config compressionc Csddt|dD}dd}|r'tdt|dttjdt|d }g}t|B}|D])} | d d } | j d d } | d| d} | |j t t| || |dq0|t|D]} | q`WddS1srwYdS)az Compute features for Lhotse Shar cuts stored in SHAR_DIR. The features are computed sequentially on CPU within shards, and parallelized across shards up to NUM_JOBS concurrent workers. FEATURE_CONFIG defines the feature extractor type and settings. You can generate default feature extractor settings with: lhotse feat write-default-config --help c Ss2g|]}|g|dd|jddggdqS)r0r.tar)rr0) with_namejoinsuffixes).0prrr s z$compute_features..z cuts.*.jsonl*cSs|S)Nr)xrrrsz"compute_features..zComputing features for z shards.zShard progress)desctotalrr.r$z features.rE)rrB output_pathrCN)rglobclickecholenrtqdmrnamer9rFappendsubmitcompute_features_one_shardr from_sharrresult)r@rBrCr-r.shardsprogbarfuturesexshard cuts_path shard_idxrQfrrrcompute_features}s4$    "rerQcCs|dur t|nt}t}t|d|d }|D]}|||}|j|j||j dqWddS1s9wYdS)N)r)rC)r=valuemanifest) r from_yamlr r r compute_and_store_featureswriteid load_featuresr')rrBrQrC extractor in_memorywritercutrrrrZs  "rZ)&r7concurrent.futuresrr functoolsrpathlibrtypingrrrSrVlhotserr r lhotse.bin.modes.cli_baser lhotse.features.ior lhotse.sharr lhotse.utilsrgrouprcommanddictargumentoptionChoiceintstrboolr?rerZrrrrs            "3   0