
"""simple docstring"""




import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


__a        = logging.get_logger(__name__)
class 			lowercase__(    UpperCAmelCase							):



	"""simple docstring"""




	a      :Tuple   					=     'speech-encoder-decoder'
	a      :List[str]   					=     True
	def __init__(	self  :      List[Any]	,							**SCREAMING_SNAKE_CASE_  :      int	)	->					str:
					super().__init__(**SCREAMING_SNAKE_CASE_	)
					if "encoder" not in kwargs or "decoder" not in kwargs:
									raise ValueError(
									    f'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
									    f''' `decoder` sub-configurations are passed, but only {kwargs}'''	)

					lowercase_					  = kwargs.pop('''encoder'''	)
					lowercase_					  = encoder_config.pop('''model_type'''	)
					lowercase_					  = kwargs.pop('''decoder'''	)
					lowercase_					  = decoder_config.pop('''model_type'''	)

					lowercase_					  = AutoConfig.for_model(SCREAMING_SNAKE_CASE_	,							**SCREAMING_SNAKE_CASE_	)
					lowercase_					  = AutoConfig.for_model(SCREAMING_SNAKE_CASE_	,							**SCREAMING_SNAKE_CASE_	)
					lowercase_					  = True
	@classmethod
	def 						_lowercase  (	cls  :      List[str]	,							SCREAMING_SNAKE_CASE_  :      PretrainedConfig	,							SCREAMING_SNAKE_CASE_  :      PretrainedConfig	,							**SCREAMING_SNAKE_CASE_  :      Union[str, Any]	)	->					PretrainedConfig:
					logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''	)
					lowercase_					  = True
					lowercase_					  = True

					return cls(encoder=encoder_config.to_dict()	,							decoder=decoder_config.to_dict()	,							**SCREAMING_SNAKE_CASE_	)




	def 						_lowercase  (	self  :      str	)	->					Optional[int]:
					lowercase_					  = copy.deepcopy(self.__dict__	)
					lowercase_					  = self.encoder.to_dict()
					lowercase_					  = self.decoder.to_dict()
					lowercase_					  = self.__class__.model_type
					return output






class 			lowercase__:



	"""simple docstring"""




	def __init__(	self  :      str	)	->					None:
					lowercase_					  = [0, 1]




	def 						_lowercase  (	self  :      str	,							SCREAMING_SNAKE_CASE_  :      int	)	->					list:
					if (difference := index - (len(self.sequence	) - 2)) >= 1:
									for _ in range(SCREAMING_SNAKE_CASE_	):
													self.sequence.append(self.sequence[-1] + self.sequence[-2]	)
					return self.sequence[:index]




def     a						(							):


				'''simple docstring'''
				print(
				    '''Fibonacci Series Using Dynamic Programming\n'''						,       '''Enter the index of the Fibonacci number you want to calculate '''						,       '''in the prompt below. (To exit enter exit or Ctrl-C)\n'''						,       sep=''''''						,       )
				lowercase_					  = Fibonacci()

				while True:
								lowercase_					  = input('''>> ''' )
								if prompt in {"exit", "quit"}:
												break

								try:
												lowercase_					  = int(snake_case__ )
								except ValueError:
												print('''Enter a number or \'exit\'''' )
												continue

								print(fibonacci.get(snake_case__ ) )


if __name__ == "__main__":
						main()




