





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





class  A__    (							__UpperCAmelCase	):




   """simple docstring"""



   __A   :				str         =  '''ClapFeatureExtractor'''
   __A   :				Any         =  ('''RobertaTokenizer''', '''RobertaTokenizerFast''')

   def __init__(					self					,  lowercase					,  lowercase)			->						List[Any]:







          '''simple docstring'''

          super().__init__(lowercase					,  lowercase)

   def __call__(					self					,  lowercase=None					,  lowercase=None					,  lowercase=None					,  **lowercase)			->						List[Any]:







          '''simple docstring'''

          a__						:	str =				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:
                 a__						:	Optional[Any] =				self.tokenizer(lowercase					,  return_tensors=lowercase					,  **lowercase)

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

          if text is not None and audios is not None:
                 a__						:	Tuple =				audio_features.input_features
                 return encoding
          elif text is not None:
                 return encoding
          else:
                 return BatchEncoding(data=dict(**lowercase)					,  tensor_type=lowercase)

   def 							__lowercase		(					self					,  *lowercase					,  **lowercase)			->						List[str]:







          '''simple docstring'''

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

   def 							__lowercase		(					self					,  *lowercase					,  **lowercase)			->						List[str]:







          '''simple docstring'''

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

   @property
   def 							__lowercase		(					self)			->						List[str]:







          '''simple docstring'''

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




"""simple docstring"""





def 						_lowerCAmelCase				(				UpperCamelCase_ = 100				):
		__SCREAMING_SNAKE_CASE            = 0
		__SCREAMING_SNAKE_CASE            = 0
		for i in range(1  ,				n + 1				):
				sum_of_squares += i**2
				sum_of_ints += i
		return sum_of_ints**2 - sum_of_squares


if __name__ == "__main__":
							print(F"""{solution() = }""")




