cCiDSrSSKrSSKJr SSKJr "SS\5rS/rg)z$ Speech processor class for M-CTC-T N)contextmanager)ProcessorMixincV^\rSrSrSrSrSrU4SjrSrSr Sr \ S 5r S r U=r$) MCTCTProcessora7 Constructs a MCTCT processor which wraps a MCTCT feature extractor and a MCTCT tokenizer into a single processor. [`MCTCTProcessor`] offers all the functionalities of [`MCTCTFeatureExtractor`] and [`AutoTokenizer`]. See the [`~MCTCTProcessor.__call__`] and [`~MCTCTProcessor.decode`] for more information. Args: feature_extractor (`MCTCTFeatureExtractor`): An instance of [`MCTCTFeatureExtractor`]. The feature extractor is a required input. tokenizer (`AutoTokenizer`): An instance of [`AutoTokenizer`]. The tokenizer is a required input. MCTCTFeatureExtractor AutoTokenizercT>[TU]X5 URUlSUlg)NF)super__init__feature_extractorcurrent_processor_in_target_context_manager)selfr tokenizer __class__s o/home/james-whalen/.local/lib/python3.13/site-packages/transformers/models/deprecated/mctct/processing_mctct.pyr MCTCTProcessor.__init__*s' *6!%!7!7*/'cUR(aUR"U0UD6$SU;a([R"S5 UR S5nOUR SS5nUR SS5nUR SS5n[ U5S:a USnUSSnUcUc [ S 5eUbUR"U/UQ7SU0UD6nUbUR"U40UD6nUcW$UcW$WS WS 'U$) a| When used in normal mode, this method forwards all its arguments to MCTCTFeatureExtractor's [`~MCTCTFeatureExtractor.__call__`] and returns its output. If used in the context [`~MCTCTProcessor.as_target_processor`] this method forwards all its arguments to AutoTokenizer's [`~AutoTokenizer.__call__`]. Please refer to the docstring of the above two methods for more information. raw_speechzLUsing `raw_speech` as a keyword argument is deprecated. Use `audio` instead.audioN sampling_ratetextrzAYou need to specify either an `audio` or `text` input to process. input_idslabels) rrwarningswarnpoplen ValueErrorrr)rargskwargsrrrinputs encodingss r__call__MCTCTProcessor.__call__/s  * *))4:6: : 6 ! MMh iJJ|,EJJw-E ?D9 zz&$' t9q=GE8D =T\`a a  ++E`D` `Y_`F  t6v6I <M ] (5F8 MrcUR(aURR"U0UD6$URSS5nURSS5n[ U5S:a USnUSSnUb UR R"U/UQ70UD6nUbUR R"U40UD6nUcU$UcU$USUS'U$)a~ When used in normal mode, this method forwards all its arguments to MCTCTFeatureExtractor's [`~MCTCTFeatureExtractor.pad`] and returns its output. If used in the context [`~MCTCTProcessor.as_target_processor`] this method forwards all its arguments to PreTrainedTokenizer's [`~PreTrainedTokenizer.pad`]. Please refer to the docstring of the above two methods for more information. input_featuresNrrrr)rrpadr!r"rr)rr$r%r+rs rr,MCTCTProcessor.padUs  * *))--t>v> >$4d;Hd+ t9q=!!WN8D  %!3377XXQWXN  ^^''9&9F >! !  #M'-k':N8 $! !rc:URR"U0UD6$)z This method forwards all its arguments to AutoTokenizer's [`~PreTrainedTokenizer.decode`]. Please refer to the docstring of this method for more information. )rdecode)rr$r%s rr/MCTCTProcessor.decodess ~~$$d5f55rc## [R"S5 SUlURUlSv UR UlSUlg7f)zq Temporarily sets the tokenizer for processing the input. Useful for encoding the labels when fine-tuning MCTCT. z`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your labels by using the argument `text` of the regular `__call__` method (either in the same call as your audio inputs, or in a separate call.TNF)rr rrrr)rs ras_target_processor"MCTCTProcessor.as_target_processorzsG   8 +/'!% !%!7!7*/'sA A)rr)__name__ __module__ __qualname____firstlineno____doc__feature_extractor_classtokenizer_classr r(r,r/rr2__static_attributes__ __classcell__)rs@rrrs> 6%O0 $L"<6 0 0rr)r8r contextlibrprocessing_utilsrr__all__rrrAs.%/o0^o0d  r