




import copy

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


snake_case_  :      Optional[Any]		=		logging.get_logger(__name__)





class 					snake_case_   (     __lowercase	):



				'''simple docstring'''
				lowerCamelCase       =  '''encoder-decoder'''
				lowerCamelCase       =  True





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

											from ..auto.configuration_auto import AutoConfig

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





				@classmethod
				def    __SCREAMING_SNAKE_CASE     (      cls							:   Optional[Any]      ,							__magic_name__							:   PretrainedConfig      ,							__magic_name__							:   PretrainedConfig      ,							**__magic_name__							:   Dict							)							->			PretrainedConfig:
											logger.info("Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"							)
											lowerCamelCase_			:    List[Any]   						=      True
											lowerCamelCase_			:    Any   						=      True

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





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








'''simple docstring'''






def 					_a						(       _lowerCamelCase ) ->				int:



			"""simple docstring"""


			if not isinstance(_lowerCamelCase    ,	_lowerCamelCase ):
						raise TypeError("""only integers accepted as input""" )
			else:
						__snake_case					:      List[Any]							      =     str(abs(_lowerCamelCase ) )
						__snake_case					:      Union[str, Any]							      =     [list(_lowerCamelCase ) for char in range(len(_lowerCamelCase ) )]
						for index in range(len(_lowerCamelCase ) ):
									num_transpositions[index].pop(_lowerCamelCase )
						return max(
						    int("""""".join(list(_lowerCamelCase ) ) ) for transposition in num_transpositions )


if __name__ == "__main__":
	__import__("doctest").testmod()


