



'''simple docstring'''






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


A_							: Dict						 =	logging.get_logger(__name__)



class 							lowercase       (  __A				):


 """simple docstring"""


 UpperCAmelCase							=  "encoder-decoder"
 UpperCAmelCase							=  True







 def __init__(							self  ,**a_							)		->   Dict:
        super().__init__(**_UpperCamelCase							)
        assert (
            "encoder" in kwargs and "decoder" in kwargs
        ), "Config has to be initialized with encoder and decoder config"
        _UpperCAmelCase  :						Union[str, Any]			     = kwargs.pop("""encoder"""							)
        _UpperCAmelCase  :						Optional[Any]			     = encoder_config.pop("""model_type"""							)
        _UpperCAmelCase  :						Tuple			     = kwargs.pop("""decoder"""							)
        _UpperCAmelCase  :						List[Any]			     = decoder_config.pop("""model_type"""							)

        from ..auto.configuration_auto import AutoConfig

        _UpperCAmelCase  :						Optional[int]			     = AutoConfig.for_model(_UpperCamelCase  ,**_UpperCamelCase							)
        _UpperCAmelCase  :						str			     = AutoConfig.for_model(_UpperCamelCase  ,**_UpperCamelCase							)
        _UpperCAmelCase  :						Dict			     = True







 @classmethod
 def _snake_case (							cls  ,a_  ,a_  ,**a_							)		->   PretrainedConfig:
        logger.info("""Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"""							)
        _UpperCAmelCase  :						Tuple			     = True
        _UpperCAmelCase  :						str			     = True

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







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






from __future__ import annotations


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):
						return [ord(SCREAMING_SNAKE_CASE__       ) - 96 for elem in plain]


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):
						return "".join(chr(elem + 96       ) for elem in encoded       )


def   __SCREAMING_SNAKE_CASE					():
						snake_case_   =	encode(input('''-> '''       ).strip().lower()       )
						print('''Encoded: '''  ,		SCREAMING_SNAKE_CASE__       )
						print('''Decoded:'''  ,		decode(SCREAMING_SNAKE_CASE__       )       )


if __name__ == "__main__":
					main()