
import copy

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


SCREAMING_SNAKE_CASE__							=				logging.get_logger(__name__)
class 	A__   (						lowerCAmelCase__				):
							lowerCAmelCase__		:						Optional[Any]    			=							"encoder-decoder"
							lowerCAmelCase__		:						Optional[Any]    			=							True





							def __init__( self  :   str     , **_UpperCAmelCase  :   Any				)						->		int:



											"""simple docstring"""


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

											from ..auto.configuration_auto import AutoConfig

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





							@classmethod
							def 			a__ ( cls  :   str     , _UpperCAmelCase  :   PretrainedConfig     , _UpperCAmelCase  :   PretrainedConfig     , **_UpperCAmelCase  :   str				)						->		PretrainedConfig:



											"""simple docstring"""


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

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





							def 			a__ ( self  :   List[str]				)						->		Optional[int]:



											"""simple docstring"""


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








'''simple docstring'''



from __future__ import annotations







def    a__       (  a__      ,    a__      ,    a__						):




     """simple docstring"""


     if len(a__						) == 0:
          raise ValueError("""find_max() arg is an empty sequence"""						)
     if (
         left >= len(a__						)
         or left < -len(a__						)
         or right >= len(a__						)
         or right < -len(a__						)
     ):
          raise IndexError("""list index out of range"""						)
     if left == right:
          return nums[left]
     __SCREAMING_SNAKE_CASE     =      (left + right) >> 1  # the middle
     __SCREAMING_SNAKE_CASE     =      find_max(a__      ,    a__      ,    a__						)  # find max in range[left, mid]
     __SCREAMING_SNAKE_CASE     =      find_max(a__      ,    mid + 1      ,    a__						)  # find max in range[mid + 1, right]

     return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)






