a h@sdZddlZddlmZmZddlZddlmZddl m Z ddl m Z m Z mZddlmZdd lmZed d Gd d d e Zd gZdS)zProcessor class for Pop2Piano.N)OptionalUnion) BatchFeature)ProcessorMixin) BatchEncodingPaddingStrategyTruncationStrategy) TensorType)requires)ZessentiaZlibrosaZ pretty_midiZscipyZtorch)backendscseZdZdZddgZdZdZfddZdee j e e e e j fe eee efee eee efeeeefeeeefe ee eeeeefd d dZdeeedddZfddZeddZZS)Pop2PianoProcessora Constructs an Pop2Piano processor which wraps a Pop2Piano Feature Extractor and Pop2Piano Tokenizer into a single processor. [`Pop2PianoProcessor`] offers all the functionalities of [`Pop2PianoFeatureExtractor`] and [`Pop2PianoTokenizer`]. See the docstring of [`~Pop2PianoProcessor.__call__`] and [`~Pop2PianoProcessor.decode`] for more information. Args: feature_extractor (`Pop2PianoFeatureExtractor`): An instance of [`Pop2PianoFeatureExtractor`]. The feature extractor is a required input. tokenizer (`Pop2PianoTokenizer`): An instance of ['Pop2PianoTokenizer`]. The tokenizer is a required input. feature_extractor tokenizerZPop2PianoFeatureExtractorZPop2PianoTokenizercst||dSN)super__init__)selfrr __class__n/var/www/html/assistant/venv/lib/python3.9/site-packages/transformers/models/pop2piano/processing_pop2piano.pyr1szPop2PianoProcessor.__init__NTF) audio sampling_ratesteps_per_beatresamplenotespadding truncation max_lengthpad_to_multiple_ofverbosereturnc  Ks|dur |dur |dur td|durJ|durJ|jf||||d| } |durp|jf||||| | d| } |dur|| S|dus|dur| S| d| d<| SdS)a" This method uses [`Pop2PianoFeatureExtractor.__call__`] method to prepare log-mel-spectrograms for the model, and [`Pop2PianoTokenizer.__call__`] to prepare token_ids from notes. Please refer to the docstring of the above two methods for more information. Nz{You have to specify at least audios and sampling_rate in order to use feature extractor or notes to use the tokenizer part.)rrrr)rrrr r!r" token_ids) ValueErrorrr)rrrrrrrrr r!r"kwargsinputsZencoded_token_idsrrr__call__4s<  zPop2PianoProcessor.__call__)feature_extractor_output return_midir#cCs|jj|||dS)z This method uses [`Pop2PianoTokenizer.batch_decode`] method to convert model generated token_ids to midi_notes. Please refer to the docstring of the above two methods for more information. )r$r)r*)r batch_decode)rr$r)r*rrrr+ns zPop2PianoProcessor.batch_decodec s>tj|rtd|dtj|ddtj|fi|S)NzProvided path (z#) should be a directory, not a fileT)exist_ok)ospathisfiler%makedirsrsave_pretrained)rZsave_directoryr&rrrr1~s z"Pop2PianoProcessor.save_pretrainedcKs|j|fi|}||Sr)Z_get_arguments_from_pretrained)clsZpretrained_model_name_or_pathr&argsrrrfrom_pretrainedsz"Pop2PianoProcessor.from_pretrained) NNrTNFNNNT)T)__name__ __module__ __qualname____doc__ attributesZfeature_extractor_classZtokenizer_classrrnpZndarraylistfloatrintboolr strrr rrr(r+r1 classmethodr4 __classcell__rrrrr sJ     >  r )r8r-typingrrnumpyr:Zfeature_extraction_utilsrZprocessing_utilsrZtokenization_utilsrrr utilsr Zutils.import_utilsr r __all__rrrrs    l