
from __future__ import annotations





class 				UpperCamelCase__		:






       """simple docstring"""


       def __init__(							self ,     _A	)				->				None:
          SCREAMING_SNAKE_CASE_	=      value
          SCREAMING_SNAKE_CASE_	=      None
          SCREAMING_SNAKE_CASE_	=      None







class 				UpperCamelCase__		:






       """simple docstring"""


       UpperCAmelCase_				       =42



       def __init__(							self	)				->				None:
          SCREAMING_SNAKE_CASE_	=      0



       def     _UpperCamelCase	(							self ,     _A ,     _A	)				->				None:
          if node is None:
             return

          if path_sum == self.target:
             self.paths += 1

          if node.left:
             self.depth_first_search(node.left ,     path_sum + node.left.value	)
          if node.right:
             self.depth_first_search(node.right ,     path_sum + node.right.value	)




       def     _UpperCamelCase	(							self ,     _A ,     _A = None	)				->				int:
          if node is None:
             return 0
          if target is not None:
             SCREAMING_SNAKE_CASE_	=      target

          self.depth_first_search(_A ,     node.value	)
          self.path_sum(node.left	)
          self.path_sum(node.right	)

          return self.paths


if __name__ == "__main__":
   import doctest

   doctest.testmod()




import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


__UpperCAmelCase   						=     logging.get_logger(__name__)





class 				UpperCamelCase__		(	__SCREAMING_SNAKE_CASE	):






       """simple docstring"""


       UpperCAmelCase_				       ="speech-encoder-decoder"
       UpperCAmelCase_				       =True



       def __init__(							self ,     **_A	)				->				Dict:
          super().__init__(**_A	)
          if "encoder" not in kwargs or "decoder" not in kwargs:
             raise ValueError(
                 F'''A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and'''
                 F''' `decoder` sub-configurations are passed, but only {kwargs}'''	)

          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'''	)

          SCREAMING_SNAKE_CASE_	=      AutoConfig.for_model(_A ,     **_A	)
          SCREAMING_SNAKE_CASE_	=      AutoConfig.for_model(_A ,     **_A	)
          SCREAMING_SNAKE_CASE_	=      True



       @classmethod
       def     _UpperCamelCase	(							cls ,     _A ,     _A ,     **_A	)				->				PretrainedConfig:
          logger.info('''Setting `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     _UpperCamelCase	(							self	)				->				Union[str, Any]:
          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


