



"""simple docstring"""







from __future__ import annotations

from typing import Any





class   UpperCamelCase	:




	"""simple docstring"""






	def __init__(     self				,UpperCAmelCase_				,UpperCAmelCase_   ):  # noqa: A002
			_lowercase				: Optional[Any]     =   item
			_lowercase				: List[str]     =   next







class   UpperCamelCase	:




	"""simple docstring"""






	def __init__(     self   ):
			_lowercase				: Node | None     =   None
			_lowercase				: Union[str, Any]     =   0






	def    lowerCamelCase__					(     self				,UpperCAmelCase_   ):
			_lowercase				: int     =   Node(UpperCAmelCase_				,self.head   )
			self.size += 1






	def    lowerCamelCase__					(     self   ):
			# Switched 'self.is_empty()' to 'self.head is None'
			# because mypy was considering the possibility that 'self.head'
			# can be None in below else part and giving error
			if self.head is None:
					return None
			else:
					_lowercase				: Any     =   self.head.item
					_lowercase				: Tuple     =   self.head.next
					self.size -= 1
					return item






	def    lowerCamelCase__					(     self   ):
			return self.head is None






	def __str__(     self   ):
			if self.is_empty():
					return ""
			else:
					_lowercase				: Tuple     =   self.head
					_lowercase				: Union[str, Any]     =   """"""
					_lowercase				: list[str]     =   []
					while iterate:
							item_list.append(str(iterate.item   )   )
							_lowercase				: str     =   iterate.next

					_lowercase				: Tuple     =   """ --> """.join(UpperCAmelCase_   )

					return item_str






	def __len__(     self   ):
			return self.size





import copy

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


__UpperCAmelCase   						=     logging.get_logger(__name__)





class 				UpperCamelCase__		(	__SCREAMING_SNAKE_CASE	):






       """simple docstring"""


       UpperCAmelCase_				       ="speech-encoder-decoder"
       UpperCAmelCase_				       =True



       def __init__(							self ,     **_A	)				->				Dict:
          super().__init__(**_A	)
          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}'''	)

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

          SCREAMING_SNAKE_CASE_	=      AutoConfig.for_model(_A ,     **_A	)
          SCREAMING_SNAKE_CASE_	=      AutoConfig.for_model(_A ,     **_A	)
          SCREAMING_SNAKE_CASE_	=      True



       @classmethod
       def     _UpperCamelCase	(							cls ,     _A ,     _A ,     **_A	)				->				PretrainedConfig:
          logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''	)
          SCREAMING_SNAKE_CASE_	=      True
          SCREAMING_SNAKE_CASE_	=      True

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




       def     _UpperCamelCase	(							self	)				->				Union[str, Any]:
          SCREAMING_SNAKE_CASE_	=      copy.deepcopy(self.__dict__	)
          SCREAMING_SNAKE_CASE_	=      self.encoder.to_dict()
          SCREAMING_SNAKE_CASE_	=      self.decoder.to_dict()
          SCREAMING_SNAKE_CASE_	=      self.__class__.model_type
          return output


