
import copy

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


_lowerCamelCase	:    Any          =      logging.get_logger(__name__)




class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase ):





	'''simple docstring'''



	_UpperCAmelCase	:		Dict          = "encoder-decoder"
	_UpperCAmelCase	:		int          = True



	def __init__(  self     :   Union[str, Any]      ,  **lowercase     :   Tuple     ):


				'''simple docstring'''


				super().__init__(**lowercase     )
				assert (
				    "encoder" in kwargs and "decoder" in kwargs
				), "Config has to be initialized with encoder and decoder config"
				_snake_case          =      kwargs.pop('encoder'     )
				_snake_case          =      encoder_config.pop('model_type'     )
				_snake_case          =      kwargs.pop('decoder'     )
				_snake_case          =      decoder_config.pop('model_type'     )

				from ..auto.configuration_auto import AutoConfig

				_snake_case          =      AutoConfig.for_model(lowercase      ,  **lowercase     )
				_snake_case          =      AutoConfig.for_model(lowercase      ,  **lowercase     )
				_snake_case          =      True



	@classmethod
	def 			A							(  cls     :   List[Any]      ,  lowercase     :   PretrainedConfig      ,  lowercase     :   PretrainedConfig      ,  **lowercase     :   Union[str, Any]     ):


				'''simple docstring'''


				logger.info('Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'     )
				_snake_case          =      True
				_snake_case          =      True

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





	def 			A							(  self     :   Tuple     ):


				'''simple docstring'''


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

from functools import lru_cache






@lru_cache
def 	a_		(	__lowercase       :     int			)			->  int:
			if num < 0:
						raise ValueError('Number should not be negative.'			)

			return 1 if num in (0, 1) else num * factorial(num - 1			)


if __name__ == "__main__":
			import doctest

			doctest.testmod()