
import copy

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


__A       =      logging.get_logger(__name__)





class      A							(    __UpperCAmelCase			):
			lowerCamelCase							:							Optional[int]    						=					"""speech-encoder-decoder"""
			lowerCamelCase							:							Any    						=					True



			def __init__(   self    ,       **lowerCamelCase__    )     ->						Dict:




									'''simple docstring'''



									super().__init__(**lowerCamelCase__    )
									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(lowerCamelCase__    ,       **lowerCamelCase__    )
									lowercase__								=    AutoConfig.for_model(lowerCamelCase__    ,       **lowerCamelCase__    )
									lowercase__								=    True



			@classmethod
			def A__	(   cls    ,       lowerCamelCase__    ,       lowerCamelCase__    ,       **lowerCamelCase__    )     ->						PretrainedConfig:




									'''simple docstring'''



									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()    ,       **lowerCamelCase__    )



			def A__	(   self    )     ->						Union[str, Any]:




									'''simple docstring'''



									lowercase__								=    copy.deepcopy(self.__dict__    )
									lowercase__								=    self.encoder.to_dict()
									lowercase__								=    self.decoder.to_dict()
									lowercase__								=    self.__class__.model_type
									return output








'''simple docstring'''



def 	_A						(							lowercase__		):
						return " ".join(sorted(set(sentence.split()		)		)		)


if __name__ == "__main__":
				import doctest

				doctest.testmod()






