import copy

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


a_    					=       logging.get_logger(__name__)





class 		_lowercase						(					snake_case_       ):
 lowercase				     =   'encoder-decoder'
 lowercase				     =   True

 def __init__( self	:							List[str]   ,      **snake_case	:							Tuple			)   ->						str:

  """simple docstring"""





  super().__init__(**snake_case			)
  assert (
      "encoder" in kwargs and "decoder" in kwargs
  ), "Config has to be initialized with encoder and decoder config"
  UpperCamelCase_					:						Tuple =					kwargs.pop('encoder'			)
  UpperCamelCase_					:						Optional[int] =					encoder_config.pop('model_type'			)
  UpperCamelCase_					:						Tuple =					kwargs.pop('decoder'			)
  UpperCamelCase_					:						Any =					decoder_config.pop('model_type'			)

  from ..auto.configuration_auto import AutoConfig

  UpperCamelCase_					:						Union[str, Any] =					AutoConfig.for_model(snake_case   ,      **snake_case			)
  UpperCamelCase_					:						int =					AutoConfig.for_model(snake_case   ,      **snake_case			)
  UpperCamelCase_					:						List[Any] =					True

 @classmethod
 def 						SCREAMING_SNAKE_CASE__   ( cls	:							Any   ,      snake_case	:							PretrainedConfig   ,      snake_case	:							PretrainedConfig   ,      **snake_case	:							List[Any]			)   ->						PretrainedConfig:

  """simple docstring"""





  logger.info('Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'			)
  UpperCamelCase_					:						Dict =					True
  UpperCamelCase_					:						Union[str, Any] =					True

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


 def 						SCREAMING_SNAKE_CASE__   ( self	:							str			)   ->						List[str]:

  """simple docstring"""





  UpperCamelCase_					:						List[Any] =					copy.deepcopy(self.__dict__			)
  UpperCamelCase_					:						Union[str, Any] =					self.encoder.to_dict()
  UpperCamelCase_					:						Dict =					self.decoder.to_dict()
  UpperCamelCase_					:						str =					self.__class__.model_type
  return output




from __future__ import annotations





def    __lowercase     (						lowerCamelCase					:     Optional[Any]  ,  lowerCamelCase					:     Dict  ,  lowerCamelCase					:     Union[str, Any]  ,  lowerCamelCase					:     List[str]	):  # noqa: E741
 while r - l > 1:
  UpperCamelCase_					:						Union[str, Any] =					(l + r) // 2
  if v[m] >= key:
   UpperCamelCase_					:						str =					m
  else:
   UpperCamelCase_					:						List[Any] =					m  # noqa: E741
 return r





def    __lowercase     (						lowerCamelCase					:     list[int]	):
 if len(lowerCamelCase	) == 0:
  return 0

 UpperCamelCase_					:						Tuple =					[0] * len(lowerCamelCase	)
 UpperCamelCase_					:						int =					1

 UpperCamelCase_					:						Dict =					v[0]

 for i in range(1  ,  len(lowerCamelCase	)	):
  if v[i] < tail[0]:
   UpperCamelCase_					:						Any =					v[i]
  elif v[i] > tail[length - 1]:
   UpperCamelCase_					:						Dict =					v[i]
   length += 1
  else:
   UpperCamelCase_					:						List[str] =					v[i]

 return length


if __name__ == "__main__":
   import doctest

   doctest.testmod()



