h9 SSKrSSKJr SSKJrJrJr SSKJr SSK J r SSK J r SSK JrJr SrS rS rS rS rS SS.rSrS\S\S\\\\\\44Sjr"SS\ 5rg)N)Path)OptionalTupleUnion)Tensor)Dataset)download_url_to_file) _extract_tar_load_waveformSpeechCommandsspeech_commands_v0.02_nohash__background_noise_i>@743935421bb51cccdb6bdd152e04c5c70274e935c82119ad7faeec31780d811d@af14739ee7dc311471de98f5f9d2c9191b18aedfe957f4a6ff791c709868ff58)z@http://download.tensorflow.org/data/speech_commands_v0.01.tar.gzz@http://download.tensorflow.org/data/speech_commands_v0.02.tar.gzc j/nUHn[RRX5n[U5nX%Vs/sHMn[RR [RRXR 555PMO sn- nSSS5 M U$s snf!,(df  M=fN)ospathjoinopennormpathstrip)root filenamesoutputfilenamefilepathfileobjlines Z/var/www/auris/envauris/lib/python3.13/site-packages/torchaudio/datasets/speechcommands.py _load_listr"s F77<</ (^w V]^V]drww'' T::<(HIV]^ ^F^ M_^sB#AB B#B## B2 rrreturnc[RRX5n[RRU5up4[RRU5upV[RR U5upu[RR U5upuUR[ 5up[ U 5n U[XhU 4$r)rrrelpathsplitsplitext HASH_DIVIDERint SAMPLE_RATE) rrr%reldirr_labelspeaker speaker_idutterance_numbers r!_get_speechcommands_metadatar1sggooh-Gww}}W-Fww}}V$HA!!(+JG!!'*JG#*==#> J+, K4D DDc \rSrSrSr\\SS4S\\\ 4S\S\S\ S \ \S S4 S jjr S \ S \\\ \\\ 44S jrS \ S \\\ \\\ 44SjrS \ 4SjrSrg)SPEECHCOMMANDS2a*Speech Commands* :cite:`speechcommandsv2` dataset. Args: root (str or Path): Path to the directory where the dataset is found or downloaded. url (str, optional): The URL to download the dataset from, or the type of the dataset to dowload. Allowed type values are ``"speech_commands_v0.01"`` and ``"speech_commands_v0.02"`` (default: ``"speech_commands_v0.02"``) folder_in_archive (str, optional): The top-level directory of the dataset. (default: ``"SpeechCommands"``) download (bool, optional): Whether to download the dataset if it is not found at root path. (default: ``False``). subset (str or None, optional): Select a subset of the dataset [None, "training", "validation", "testing"]. None means the whole dataset. "validation" and "testing" are defined in "validation_list.txt" and "testing_list.txt", respectively, and "training" is the rest. Details for the files "validation_list.txt" and "testing_list.txt" are explained in the README of the dataset and in the introduction of Section 7 of the original paper and its reference 12. The original paper can be found `here `_. (Default: ``None``) FNrurlfolder_in_archivedownloadsubsetr#cUbUS;a [S5eUS;a&SnSn[RRXbU-5n[R"U5n[RRX5Ul[RR U5n[RRX5n URSS5Sn[RRX85n[RRX5UlU(a[RRUR5(dY[RRU 5(d [RUS5n [X)U S 9 [XR5 OG[RRUR5(d[!S URS 35eUS :Xa[#URS 5UlgUS:Xa[#URS5UlgUS:Xa['[#URS S55n [)S[+UR5R-S555n U V s/sHBn [.U ;dM[0U ;dM[RR3U 5U ;dM@U PMD sn Ulg[)S[+UR5R-S555n U V s/sHn [.U ;dM[0U ;dMU PM sn Ulgs sn fs sn f)N)training validationtestingzSWhen `subset` is not None, it must be one of ['training', 'validation', 'testing'].)zspeech_commands_v0.01r z$http://download.tensorflow.org/data/z.tar.gz.r) hash_prefixz The path zT doesn't exist. Please check the ``root`` path or set `download=True` to download itr<zvalidation_list.txtr=ztesting_list.txtr;c38# UHn[U5v M g7frstr.0ps r! *SPEECHCOMMANDS.__init__..|M,LqCFF,Lz*/*.wavc38# UHn[U5v M g7frrBrDs r!rGrHrIrJ) ValueErrorrrrfspath_archivebasenamersplit_pathisdirisfile _CHECKSUMSgetr r exists RuntimeErrorr"_walkersetsortedrglobr( EXCEPT_FOLDERr)selfrr6r7r8r9base_url ext_archiverOarchivechecksumexcludeswalkerws r!__init__SPEECHCOMMANDS.__init__Hs  &0U"Urs s   >H#K'',,x{):;Cyy T= 77##C('',,t.??3*1-GGLL):EWW\\$: 77==,,ww~~g..)~~c48H(8LWjj177>>$**--" |,[[ \ !%djj2GHDL y %djj2DEDL z !:djj2GI[\]HMD,<,A,A),LMMF A1$)6a)?DFGGDTDTUVDW_gDgDL MD,<,A,A),LMMF'-^v!1BA}\]G]Av^DL_s* MM'!M MM%M1MncJURUn[X R5$)aGet metadata for the n-th sample from the dataset. Returns filepath instead of waveform, but otherwise returns the same fields as :py:func:`__getitem__`. Args: n (int): The index of the sample to be loaded Returns: Tuple of the following items; str: Path to the audio int: Sample rate str: Label str: Speaker ID int: Utterance number )rXr1rN)r]rgfileids r! get_metadataSPEECHCOMMANDS.get_metadatas *a+FMMBBr2cpURU5n[URUSUS5nU4USS-$)aLoad 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: Label str: Speaker ID int: Utterance number rN)rjr rN)r]rgmetadatawaveforms r! __getitem__SPEECHCOMMANDS.__getitem__sA($$Q'!$--!hqkJ{Xab\))r2c,[UR5$r)lenrX)r]s r!__len__SPEECHCOMMANDS.__len__s4<<  r2)rNrQrX)__name__ __module__ __qualname____firstlineno____doc__URLFOLDER_IN_ARCHIVErrCrboolrrer)rrjrrprt__static_attributes__r2r!r4r42s0!2 $ <_CI<_<_ <_  <_  <_ <_|CcCeCc3,C&DC0*S*U63S#+E%F*0!!r2r4)rpathlibrtypingrrrtorchrtorch.utils.datartorchaudio._internalr torchaudio.datasets.utilsr r r|r{r(r\r*rTr"rCr)r1r4rr2r!rs ))$5B$ $  IKIK E3EcEeCcSVX[D[>\E(E!WE!r2