o Si3@sLdZddlZddlZddlZddlZddlZddlZddlZddlm Z ddl m Z ddl m Z ddlmZddlmZddlmZmZmZmZmZmZmZdd lmZdd lmZmZm Z m!Z!dd l"m#Z#m$Z$dd l%m&Z&dd l'm(Z(m)Z)ddl*m+Z+m,Z,m-Z-m.Z.dZ/d0Z1dZ2dZ3ddde/dfde+dee4ee4fde5de4dee4ddf ddZ6e d4dd Z7d!ee+d"e4dee4ee4ee$e)ffffd#d$Z8d%ed"e4d&e4deee#e(ffd'd(Z9 )d5d*e4d+e4d%e+d,e:dee$e)ff d-d.Z;d/e3d)fd0e+d!e+dee4ee4fd1ee4ee4fd,e:dee4ee4ee4ee$e)fffff d2d3Zr)rTrU manifestspartmanifestr5rOrOrP_read_cv_manifests_if_cachedsr_ lang_path audio_infocCs|d|d}|std|dSt|dj}tj||d}t||d|jd||d|d |d |d |d |d d d }||fS)Nclipsr5zNo such file: )r5 recording_idgr client_idsentencegenderageaccentsvariant)rgrhri) idrcstartdurationchannelrUspeakertextrfcustom) r>r;r<rstemr from_filerrlstrip)r`rUra audio_pathrc recordingsegmentrOrOrP_parse_utterances, rwrHr]num_jobsc Cs<t|}||d}tzt|tddb}g}g}g}g} t|d%} tj| dtjd} t| ddD] } | | t ||| q5Wd n1sMwYt|d dD]} | } | d urcqX| \}}| || |qXWd n1s|wYWd n1swYt |}t|}||fS) a Prepares part of CommonVoice data. :param lang: string language code (e.g., "en"). :param part: which split to prepare (e.g., "train", "validated", etc.). :param lang_path: path to a CommonVoice directory for a specific language (e.g., "/path/to/cv-corpus-13.0-2023-03-09/pl"). :param num_jobs: How many concurrent workers to use for scanning of the audio files. :return: a tuple of (RecordingSet, SupervisionSet) objects, note that CommonVoice manifests may be fairly large in memory. z.tsvspawn) max_workers mp_contextr ) delimiterquotingzDistributing tasksr.N Processing)rrSrmp_get_contextrEcsv DictReader QUOTE_NONErappendsubmitrwresultrfrom_recordingsr from_segments)rHr]r`rytsv_pathexfuturesrVrW audio_infosfrafuturerrurv recording_setsupervision_setrOrOrP _prepare_partsN    " rauto corpus_dirsplitsc Cst|}|sJd||dusJdt|}|jddd|dkr?ttdd|d D}|s>td |nt|t rG|g}i}t |d d D]r}t d |||}t ||d}t |dd D]S} t d| | |vrt | d|dqit|| ||d\} } t| | \} } t| | | |d|d| d| |d|d| d| | d|| <qi|||<qO|S)a Returns the manifests which consist of the Recordings and Supervisions. When all the manifests are available in the ``output_dir``, it will simply read and return them. This function expects the input directory structure of:: >>> metadata_path = corpus_dir / language_code / "{train,dev,test}.tsv" >>> # e.g. pl_train_metadata_path = "/path/to/cv-corpus-13.0-2023-03-09/pl/train.tsv" >>> audio_path = corpus_dir / language_code / "clips" >>> # e.g. pl_audio_path = "/path/to/cv-corpus-13.0-2023-03-09/pl/clips" Returns a dict with 3-level structure (lang -> split -> manifest-type):: >>> {'en/fr/pl/...': {'train/dev/test': {'recordings/supervisions': manifest}}} :param corpus_dir: Pathlike, the path to the downloaded corpus. :param output_dir: Pathlike, the path where to write the manifests. :param languages: 'auto' (prepare all discovered data) or a list of language codes. :param splits: by default ``['train', 'dev', 'test']``, can also include ``'validated'``, ``'invalidated'``, and ``'other'``. :param num_jobs: How many concurrent workers to use for scanning of the audio files. :return: a dict with manifests for all specified languagues and their train/dev/test splits. zNo such directory: NzaCommonVoice recipe requires to specify the output manifest directory (output_dir cannot be None).Tr*rcss|]}|jVqdS)N)name).0r5rOrOrP s z&prepare_commonvoice..*z0Could not find any of CommonVoice languages in: z Processing CommonVoice languagesr.r0)rTrUSplitingz Spliting z split of CommonVoice-z already prepared - skipping.)rHr]r`ryzcv-_supervisions_rZ _recordings_)rWrV)ris_dirr6setr7 intersectionglob ValueErrorr8r9rr;r<r_rrrto_file) rrTr%rryr\rHr`lang_manifestsr]rrrOrOrPprepare_commonvoicesf     r)r)N)rx)=__doc__rr;mathnumbersrBrDwarnings collectionsrconcurrent.futures.processr contextlibrmultiprocessingrrpathlibrtypingrrr r r r r tqdm.autorlhotserrrr lhotse.audiorr lhotse.qarlhotse.supervisionrr lhotse.utilsrrrrDEFAULT_COMMONVOICE_URLr@r7COMMONVOICE_SPLITSCOMMONVOICE_DEFAULT_SPLITSr9boolrQrSr_rwintrrrOrOrOrPs      $   E    %  @"