h.SSKrSSKJr SSKJrJrJr SSKJr SSK J r SSK J r SSK JrJr SrS rS r/S QrS S SSSSSS.rSrS\S\S\S\S\S\\S\\\\\\\44Sjr"SS\ 5rg)N)Path)ListTupleUnion)Tensor)Dataset)download_url_to_file) _extract_tar_load_waveformtrain-clean-100 LibriSpeechi>)z dev-cleanz dev-otherz test-cleanz test-otherr ztrain-clean-360ztrain-other-500@76f87d090650617fca0cac8f88b9416e0ebf80350acb97b343a85fa903728ab3@12661c48e8c3fe1de2c1caa4c3e135193bfb1811584f11f569dd12645aa84365@39fde525e59672dc6d1551919b1478f724438a95aa55f874b576be21967e6c23@d09c181bba5cf717b3dee7d4d592af11a3ee3a09e08ae025c5506f6ebe961c29@d4ddd1d5a6ab303066f14971d768ee43278a5f2a0aa43dc716b0e64ecbbbf6e2@146a56496217e96c14334a160df97fffedd6e0a04e66b9c5af0d40be3c792ecf@ddb22f27f96ec163645d53215559df6aa36515f26e01dd70798188350adcb6d2)z4http://www.openslr.org/resources/12/dev-clean.tar.gzz4http://www.openslr.org/resources/12/dev-other.tar.gzz5http://www.openslr.org/resources/12/test-clean.tar.gzz5http://www.openslr.org/resources/12/test-other.tar.gzz:http://www.openslr.org/resources/12/train-clean-100.tar.gzz:http://www.openslr.org/resources/12/train-clean-360.tar.gzz:http://www.openslr.org/resources/12/train-other-500.tar.gzc.SnSnX-n[RRX5n[RRX$5n[RRU5(d [R US5n[ XeUS9 [U5 g)Nz$http://www.openslr.org/resources/12/z.tar.gz) hash_prefix)ospathjoinisfile _CHECKSUMSgetr r )rooturlbase_url ext_archivefilenamearchive download_urlchecksums _/var/www/auris/envauris/lib/python3.13/site-packages/torchaudio/datasets/librispeech_biasing.py_download_librispeechr&!sm5HK Hggll4*G77<<3L 77>>' " ">>,5\Ifileidrfolder ext_audioext_txtblistreturncU=(d /nURS5upgnUSUSU3n [RRX&XyU35n USUU3n [RRXXgU 5n /n [ U 5n U HenUR 5RSS5unnX:XdM-UR5H$nUU;dM UU ;dMU R U5 M& O [SU 35eSSS5 U [W[U5[U5[U5U 4$!,(df  N6=f)N- zTranslation not found for ) splitrrropenstripappendFileNotFoundError SAMPLE_RATEint)r(rr)r*r+r, speaker_id chapter_id utterance_id fileid_audiofilepath file_textuttblistftline fileid_text transcriptwords r%_get_librispeech_metadatarE.sC KRE+1<<+<(JL!\:,a ~>Lww||F nYKc \rSrSrSrSrSr\\SS4S\ \ \ 4S\ S \ S \ S \ \ S S4 S jjrS\S \\ \\ \\\44SjrS\S \\\\ \\\44SjrS \4SjrSrg)LibriSpeechBiasingTaH*LibriSpeech* :cite:`7178964` dataset with prefix-tree construction and biasing support. Args: root (str or Path): Path to the directory where the dataset is found or downloaded. url (str, optional): The URL to download the dataset from, or the type of the dataset to dowload. Allowed type values are ``"dev-clean"``, ``"dev-other"``, ``"test-clean"``, ``"test-other"``, ``"train-clean-100"``, ``"train-clean-360"`` and ``"train-other-500"``. (default: ``"train-clean-100"``) folder_in_archive (str, optional): The top-level directory of the dataset. (default: ``"LibriSpeech"``) download (bool, optional): Whether to download the dataset if it is not found at root path. (default: ``False``). blist (list, optional): The list of biasing words (default: ``[]``). z .trans.txtz.flacFNrrfolder_in_archivedownloadr,r-cZX lU[;a[SUS[S35e[R"U5n[R R X5Ul[R R XU5Ul[R RUR5(d,U(a [X5 O[SURS35e[S[UR5RSUR-555UlXPlg)Nz Invalid url 'z' given; please provide one of .zDataset not found at z5. Please set `download=True` to download the dataset.c3L# UHn[UR5v M g7fN)strstem).0ps r% .LibriSpeechBiasing.__init__..sd3cac!&&kk3cs"$z*/*/*)_url _DATA_SUBSETS ValueErrorrfspathrr_archive_pathisdirr& RuntimeErrorsortedrglob _ext_audio_walkerr,)selfrrrIrJr,s r%__init__LibriSpeechBiasing.__init__is m #}SE1PQ^P__`ab byy T= WW\\$3? ww}}TZZ((%d0"+DJJ<7lmd4 3C3H3HSWSbSbIb3cdd  r'ncURUn[X RURURUR UR 5$)aGet metadata for the n-th sample from the dataset. Returns filepath instead of waveform, but otherwise returns the same fields as :py:func:`__getitem__`. Args: n (int): The index of the sample to be loaded Returns: Tuple of the following items; str: Path to audio int: Sample rate str: Transcript int: Speaker ID int: Chapter ID int: Utterance ID list: List of biasing words in the utterance )r`rErYrUr__ext_txtr,)rardr(s r% get_metadataLibriSpeechBiasing.get_metadatas>2a( 4??\`\i\ikokukuvvr'cpURU5n[URUSUS5nU4USS-$)arLoad the n-th sample from the dataset. Args: n (int): The index of the sample to be loaded Returns: Tuple of the following items; Tensor: Waveform int: Sample rate str: Transcript int: Speaker ID int: Chapter ID int: Utterance ID list: List of biasing words in the utterance rr1N)rgr rY)rardmetadatawaveforms r% __getitem__LibriSpeechBiasing.__getitem__sA0$$Q'!$--!hqkJ{Xab\))r'c,[UR5$rN)lenr`)ras r%__len__LibriSpeechBiasing.__len__s4<<  r')rYrZrUr`r,)__name__ __module__ __qualname____firstlineno____doc__rfr_URLFOLDER_IN_ARCHIVErrOrboolrrbr8rrgrrlrp__static_attributes__r'r%rGrGTs"HJ !2 CI    Cy  6wcweCc3S,H&Iw8*S*U63S#s+J%K*8!!r'rG)rpathlibrtypingrrrtorchrtorch.utils.datartorchaudio._internalr torchaudio.datasets.utilsr r rwrxr7rVrr&rOr8rErGr{r'r%rs %%$5B!  =<~==CECECE  # ##$'#47#BE#NRSVi# 3S#sC '(#Li!i!r'