




import copy

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


__SCREAMING_SNAKE_CASE 						=logging.get_logger(__name__)






class  __magic_name__						(  __UpperCAmelCase):
				'''simple docstring'''







				SCREAMING_SNAKE_CASE__					:							str	      =					'''encoder-decoder'''
				SCREAMING_SNAKE_CASE__					:							List[Any]	      =					True


				def __init__(							self:   Any		,					**_lowerCamelCase:   int		):
											super().__init__(**__SCREAMING_SNAKE_CASE		)
											assert (
											    "encoder" in kwargs and "decoder" in kwargs
											), "Config has to be initialized with encoder and decoder config"
											SCREAMING_SNAKE_CASE_   	=    kwargs.pop('''encoder'''		)
											SCREAMING_SNAKE_CASE_   	=    encoder_config.pop('''model_type'''		)
											SCREAMING_SNAKE_CASE_   	=    kwargs.pop('''decoder'''		)
											SCREAMING_SNAKE_CASE_   	=    decoder_config.pop('''model_type'''		)

											from ..auto.configuration_auto import AutoConfig

											SCREAMING_SNAKE_CASE_   	=    AutoConfig.for_model(__SCREAMING_SNAKE_CASE		,					**__SCREAMING_SNAKE_CASE		)
											SCREAMING_SNAKE_CASE_   	=    AutoConfig.for_model(__SCREAMING_SNAKE_CASE		,					**__SCREAMING_SNAKE_CASE		)
											SCREAMING_SNAKE_CASE_   	=    True


				@classmethod
				def     _A							(							cls:   Tuple		,					_lowerCamelCase:   PretrainedConfig		,					_lowerCamelCase:   PretrainedConfig		,					**_lowerCamelCase:   List[Any]		):
											logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''		)
											SCREAMING_SNAKE_CASE_   	=    True
											SCREAMING_SNAKE_CASE_   	=    True

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





				def     _A							(							self:   Optional[Any]		):
											SCREAMING_SNAKE_CASE_   	=    copy.deepcopy(self.__dict__		)
											SCREAMING_SNAKE_CASE_   	=    self.encoder.to_dict()
											SCREAMING_SNAKE_CASE_   	=    self.decoder.to_dict()
											SCREAMING_SNAKE_CASE_   	=    self.__class__.model_type
											return output






def 			a   (_lowerCAmelCase     ):
							if number > 0:
														raise ValueError('''input must be a negative integer'''     )
							SCREAMING_SNAKE_CASE_   	=    len(bin(_lowerCAmelCase     )[3:]     )
							SCREAMING_SNAKE_CASE_   	=    bin(abs(_lowerCAmelCase     ) - (1 << binary_number_length)     )[3:]
							SCREAMING_SNAKE_CASE_   	=    (
							    (
							        '''1'''
							        + '''0''' * (binary_number_length - len(_lowerCAmelCase     ))
							        + twos_complement_number
							    )
							    if number < 0
							    else '''0'''
							)
							return "0b" + twos_complement_number


if __name__ == "__main__":
			import doctest

			doctest.testmod()


