





import copy

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


__lowercase       :List[str]       =  logging.get_logger(__name__)



class    _a     (				lowercase__							):






							"""simple docstring"""

							snake_case_							 =						"encoder-decoder"
							snake_case_							 =						True

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

													from ..auto.configuration_auto import AutoConfig

													SCREAMING_SNAKE_CASE__     :				List[Any]   =					AutoConfig.for_model(a							,	**a    )
													SCREAMING_SNAKE_CASE__     :				Any   =					AutoConfig.for_model(a							,	**a    )
													SCREAMING_SNAKE_CASE__     :				Dict   =					True

							@classmethod
							def      A_  (      cls				:     int							,	a				:     PretrainedConfig							,	a				:     PretrainedConfig							,	**a				:     List[str]    )	->PretrainedConfig:
													logger.info("Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"    )
													SCREAMING_SNAKE_CASE__     :				Tuple   =					True
													SCREAMING_SNAKE_CASE__     :				List[Any]   =					True

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






							def      A_  (      self				:     Dict    )	->Tuple:
													SCREAMING_SNAKE_CASE__     :				str   =					copy.deepcopy(self.__dict__    )
													SCREAMING_SNAKE_CASE__     :				Dict   =					self.encoder.to_dict()
													SCREAMING_SNAKE_CASE__     :				List[Any]   =					self.decoder.to_dict()
													SCREAMING_SNAKE_CASE__     :				Dict   =					self.__class__.model_type
													return output






from __future__ import annotations







def       UpperCAmelCase							(     _lowerCamelCase      :  list			,   _lowerCamelCase      :  int | None = None			,   _lowerCamelCase      :  int | None = None     ):





						'''simple docstring'''


						if start is None:
												SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					0

						if end is None:
												SCREAMING_SNAKE_CASE__     :				Any   =					len(_lowerCamelCase     ) - 1

						if start >= end:
												return

						SCREAMING_SNAKE_CASE__     :				List[str]   =					(start + end) // 2

						slowsort(_lowerCamelCase			,   _lowerCamelCase			,   _lowerCamelCase     )
						slowsort(_lowerCamelCase			,   mid + 1			,   _lowerCamelCase     )

						if sequence[end] < sequence[mid]:
												SCREAMING_SNAKE_CASE__,							SCREAMING_SNAKE_CASE__     :				Optional[int]   =					sequence[mid], sequence[end]

						slowsort(_lowerCamelCase			,   _lowerCamelCase			,   end - 1     )


if __name__ == "__main__":
				from doctest import testmod

				testmod()