U ,:%e@sddlZddlmZddlmZmZmZmZddlZddl m Z ddl m Z dZ ddd d d d d dddddddddgZeedddZGddde ZdS)N)Path)ListOptionalTupleUnion)Dataset)_load_waveformi>ZAditiZAmyZBrianZEmmaZGeraintZIvyZJoannaZJoeyZJustinZKendraZKimberlyZMatthewZNicoleZRaveenaZRussellZSalli)filesubsetc Csi}t|d}|D]}|d}|d}d|ddd\}}d|ddd}d|ddd}|dd} ||kr||| f||<qW5QRX|S)uLoad transcirpt, iob, and intent labels for all utterances. Args: file (Path): The path to the label file. subset (str): Subset of the dataset to use. Options: [``"train"``, ``"valid"``, ``"test"``]. Returns: Dictionary of labels, where the key is the filename of the audio, and the label is a Tuple of transcript, Inside–outside–beginning (IOB) label, and intention label. r rN )openstripsplitjoin) r r labelsflineindexZtransZ iob_intentiobintentrX/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/torchaudio/datasets/snips.py _load_labelss  rc@seZdZdZdZdeeefeee eeddddZ e e ee eeefdd d Z e e eje eeefdd d Ze d ddZdS)Snipsa,*Snips* :cite:`coucke2018snips` dataset. Args: root (str or Path): Root directory where the dataset's top level directory is found. subset (str): Subset of the dataset to use. Options: [``"train"``, ``"valid"``, ``"test"``]. speakers (List[str] or None, optional): The speaker list to include in the dataset. If ``None``, include all speakers in the subset. (Default: ``None``) audio_format (str, optional): The extension of the audios. Options: [``"mp3"``, ``"wav"``]. (Default: ``"mp3"``) zall.iob.snips.txtNmp3)rootr speakers audio_formatreturnc Cs|dkrtd|dkr tdt|}|d|_|j||_|dkrJt}tj|js`td|j d||_ g|_ t |j D]0}t |j}|dd }||kr|j |q|j|j}t|||_dS) N)trainZvalidtestz3`subset` must be one of ["train", "valid", "test"].)rZwavz,`audio_format` must be one of ["mp3", "wav].ZSNIPSzDataset not found.z*.-r) ValueErrorr_path audio_path _SPEAKERSospathisdir RuntimeErrorglobZ audio_pathsdatasortedstrnamerappend _trans_filerr) selfrr r r!r(Z audio_namespeakerZtranscript_pathrrr__init__Fs(    zSnips.__init__)nr"cCsF|j|}tj||j}|dj}|j|\}}}|t||||fS)uGet 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: File name str: Transcription of audio str: Inside–outside–beginning (IOB) label of transcription str: Intention label of the audio. ) r/r*r+relpathr' with_suffixr2r _SAMPLE_RATE)r5r8r(r: file_nameZ transcriptrrrrr get_metadataes   zSnips.get_metadatacCs2||}t|j|d|d}|f|ddS)u Load 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: File name str: Transcription of audio str: Inside–outside–beginning (IOB) label of transcription str: Intention label of the audio. rr N)r>rr')r5r8metadataZwaveformrrr __getitem__s zSnips.__getitem__)r"cCs t|jS)N)lenr/)r5rrr__len__sz Snips.__len__)Nr)__name__ __module__ __qualname____doc__r4rr1rrrr7intrr>torchZTensorr@rBrrrrr8s     r)r*pathlibrtypingrrrrrHZtorch.utils.datarZtorchaudio.datasets.utilsrr<r)r1rrrrrrs2