





import operator






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				list       , UpperCamelCase__:				bool = False       , UpperCamelCase__:				list | None = None     ):
		SCREAMING_SNAKE_CASE__								=   operator.lt if reverse else operator.gt
		SCREAMING_SNAKE_CASE__								=   solution or []

		if not arr:
				return solution

		SCREAMING_SNAKE_CASE__								=   [arr.pop(0     )]
		for i, item in enumerate(UpperCamelCase__     ):
				if _operator(UpperCamelCase__       , sublist[-1]     ):
						sublist.append(UpperCamelCase__     )
						arr.pop(UpperCamelCase__     )

    #  merging sublist into solution list
		if not solution:
				solution.extend(UpperCamelCase__     )
		else:
				while sublist:
						SCREAMING_SNAKE_CASE__								=   sublist.pop(0     )
						for i, xx in enumerate(UpperCamelCase__     ):
								if not _operator(UpperCamelCase__       , UpperCamelCase__     ):
										solution.insert(UpperCamelCase__       , UpperCamelCase__     )
										break
						else:
								solution.append(UpperCamelCase__     )

		strand_sort(UpperCamelCase__       , UpperCamelCase__       , UpperCamelCase__     )
		return solution


if __name__ == "__main__":
	assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
	assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]






import copy

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


_lowerCamelCase 					=      logging.get_logger(__name__)




class 	UpperCamelCase_							(  UpperCamelCase__     ):
							lowerCamelCase_							     =       "encoder-decoder"
							lowerCamelCase_							     =       True


							def __init__(				self     :Optional[int]				,					**__A     :str		) -> int:



									"""simple docstring"""



									super().__init__(**__A		)
									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(__A				,					**__A		)
									SCREAMING_SNAKE_CASE__								=   AutoConfig.for_model(__A				,					**__A		)
									SCREAMING_SNAKE_CASE__								=   True


							@classmethod
							def   _snake_case	(				cls     :str				,					__A     :PretrainedConfig				,					__A     :PretrainedConfig				,					**__A     :List[str]		) -> PretrainedConfig:



									"""simple docstring"""



									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()				,					**__A		)


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



									"""simple docstring"""



									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