




import copy

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


SCREAMING_SNAKE_CASE__ :   List[str]						=     logging.get_logger(__name__)




class 	UpperCamelCase__			(lowerCAmelCase__  ):

    '''simple docstring'''



    lowerCamelCase_   :			List[str]			  =   """speech-encoder-decoder"""
    lowerCamelCase_   :			int			  =   True







    def __init__(					self  ,						**UpperCamelCase__  )  ->   Union[str, Any]:
           super().__init__(**UpperCamelCase__  )
           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}'''  )

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

           lowerCamelCase     :   Union[str, Any]    				=      AutoConfig.for_model(UpperCamelCase__  ,						**UpperCamelCase__  )
           lowerCamelCase     :   Union[str, Any]    				=      AutoConfig.for_model(UpperCamelCase__  ,						**UpperCamelCase__  )
           lowerCamelCase     :   List[Any]    				=      True







    @classmethod
    def 					_lowercase  (					cls  ,						UpperCamelCase__  ,						UpperCamelCase__  ,						**UpperCamelCase__  )  ->   PretrainedConfig:
           logger.info("Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"  )
           lowerCamelCase     :   Optional[int]    				=      True
           lowerCamelCase     :   Optional[int]    				=      True

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







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












from __future__ import annotations

def   A   (   _SCREAMING_SNAKE_CASE					)			->				list[int]:
       assert (
           isinstance(_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					) and mask > 0
       ), f'''mask needs to be positive integer, your input {mask}'''
       lowerCamelCase     :   str    				=      []
       lowerCamelCase     :   Any    				=      mask

       while submask:
              all_submasks.append(_SCREAMING_SNAKE_CASE					)
              lowerCamelCase     :   Union[str, Any]    				=      (submask - 1) & mask

       return all_submasks


if __name__ == "__main__":
       import doctest

       doctest.testmod()






