



__lowerCamelCase         =			{
    '''meter''': '''m''',
    '''kilometer''': '''km''',
    '''megametre''': '''Mm''',
    '''gigametre''': '''Gm''',
    '''terametre''': '''Tm''',
    '''petametre''': '''Pm''',
    '''exametre''': '''Em''',
    '''zettametre''': '''Zm''',
    '''yottametre''': '''Ym''',
}
# Exponent of the factor(meter)
__lowerCamelCase         =			{
    '''m''': 0,
    '''km''': 3,
    '''Mm''': 6,
    '''Gm''': 9,
    '''Tm''': 12,
    '''Pm''': 15,
    '''Em''': 18,
    '''Zm''': 21,
    '''Ym''': 24,
}







def    _snake_case (       __snake_case					,  __snake_case					,  __snake_case    )     ->     float:






      '''simple docstring'''







      UpperCAmelCase_  :	Dict				      =		from_type.lower().strip("s"    )
      UpperCAmelCase_  :	int				      =		to_type.lower().strip("s"    )

      UpperCAmelCase_  :	List[Any]				      =		UNIT_SYMBOL.get(__snake_case					,  __snake_case    )
      UpperCAmelCase_  :	int				      =		UNIT_SYMBOL.get(__snake_case					,  __snake_case    )

      if from_sanitized not in METRIC_CONVERSION:
            UpperCAmelCase_  :	List[Any]				      =		(
                F"""Invalid 'from_type' value: {from_type!r}.\n"""
                F"""Conversion abbreviations are: {', '.join(__snake_case    )}"""
            )
            raise ValueError(__snake_case    )
      if to_sanitized not in METRIC_CONVERSION:
            UpperCAmelCase_  :	Optional[int]				      =		(
                F"""Invalid 'to_type' value: {to_type!r}.\n"""
                F"""Conversion abbreviations are: {', '.join(__snake_case    )}"""
            )
            raise ValueError(__snake_case    )
      UpperCAmelCase_  :	Tuple				      =		METRIC_CONVERSION[from_sanitized]
      UpperCAmelCase_  :	Optional[int]				      =		METRIC_CONVERSION[to_sanitized]
      UpperCAmelCase_  :	List[str]				      =		1

      if from_exponent > to_exponent:
            UpperCAmelCase_  :	Tuple				      =		from_exponent - to_exponent
      else:
            UpperCAmelCase_  :	Union[str, Any]				      =		-(to_exponent - from_exponent)

      return value * pow(1_0					,  __snake_case    )


if __name__ == "__main__":
    from doctest import testmod

    testmod()





from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       _lowerCamelCase			    =				"""ClapFeatureExtractor"""
       _lowerCamelCase			    =				("""RobertaTokenizer""", """RobertaTokenizerFast""")



       def __init__(     self     ,lowercase     ,lowercase):

             """simple docstring"""





             super().__init__(lowercase     ,lowercase)



       def __call__(     self     ,lowercase=None     ,lowercase=None     ,lowercase=None     ,**lowercase):

             """simple docstring"""





             UpperCAmelCase_  :	Dict				      =		kwargs.pop("sampling_rate"     ,lowercase)

             if text is None and audios is None:
                   raise ValueError("You have to specify either text or audios. Both cannot be none.")

             if text is not None:
                   UpperCAmelCase_  :	List[str]				      =		self.tokenizer(lowercase     ,return_tensors=lowercase     ,**lowercase)

             if audios is not None:
                   UpperCAmelCase_  :	str				      =		self.feature_extractor(
                       lowercase     ,sampling_rate=lowercase     ,return_tensors=lowercase     ,**lowercase)

             if text is not None and audios is not None:
                   UpperCAmelCase_  :	Optional[int]				      =		audio_features.input_features
                   return encoding
             elif text is not None:
                   return encoding
             else:
                   return BatchEncoding(data=dict(**lowercase)     ,tensor_type=lowercase)



       def  A_   (     self     ,*lowercase     ,**lowercase):

             """simple docstring"""





             return self.tokenizer.batch_decode(*lowercase     ,**lowercase)



       def  A_   (     self     ,*lowercase     ,**lowercase):

             """simple docstring"""





             return self.tokenizer.decode(*lowercase     ,**lowercase)



       @property
       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	str				      =		self.tokenizer.model_input_names
             UpperCAmelCase_  :	str				      =		self.feature_extractor.model_input_names
             return list(dict.fromkeys(tokenizer_input_names + feature_extractor_input_names))
