






'''simple docstring'''
import copy

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


UpperCamelCase__	=     logging.get_logger(__name__)


class     _UpperCAmelCase  (						snake_case     ):
    __lowerCamelCase:				Optional[Any]						    =      'speech-encoder-decoder'
    __lowerCamelCase:				Union[str, Any]						    =      True




    def __init__(     self					:    Union[str, Any]					,       **a					:    Any     ):






       '''simple docstring'''






       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}"""     )

       lowercase_		:      int          =       kwargs.pop("encoder"     )
       lowercase_		:      Optional[int]          =       encoder_config.pop("model_type"     )
       lowercase_		:      Union[str, Any]          =       kwargs.pop("decoder"     )
       lowercase_		:      Tuple          =       decoder_config.pop("model_type"     )

       lowercase_		:      Optional[Any]          =       AutoConfig.for_model(a					,       **a     )
       lowercase_		:      Any          =       AutoConfig.for_model(a					,       **a     )
       lowercase_		:      List[str]          =       True




    @classmethod
    def 			lowerCAmelCase__			(     cls					:    Any					,       a					:    PretrainedConfig					,       a					:    PretrainedConfig					,       **a					:    Optional[int]     ):






       '''simple docstring'''






       logger.info("Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"     )
       lowercase_		:      Union[str, Any]          =       True
       lowercase_		:      List[str]          =       True

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





    def 			lowerCAmelCase__			(     self					:    Union[str, Any]     ):






       '''simple docstring'''






       lowercase_		:      Union[str, Any]          =       copy.deepcopy(self.__dict__     )
       lowercase_		:      List[Any]          =       self.encoder.to_dict()
       lowercase_		:      Union[str, Any]          =       self.decoder.to_dict()
       lowercase_		:      Dict          =       self.__class__.model_type
       return output












'''simple docstring'''
def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase  ,						_UpperCamelCase							):


   """simple docstring"""




   sequence.append(_UpperCamelCase							)

   lowercase_		:      Union[str, Any]          =       0
   while sequence[index] != target:
      index += 1

   sequence.pop()

   if index == len(_UpperCamelCase							):
      return None

   return index


if __name__ == "__main__":
 UpperCamelCase__	=     input('Enter numbers separated by comma:\n').strip()
 UpperCamelCase__	=     [int(item) for item in user_input.split(',')]

 UpperCamelCase__	=     input('Enter a single number to be found in the list:\n')
 UpperCamelCase__	=     int(target_input)
 UpperCamelCase__	=     sentinel_linear_search(sequence, target)
 if result is not None:
  print(f"""{target} found at positions: {result}""")
 else:
  print('Not found')




