
from __future__ import annotations

__a         =   '#'
class 					lowercase__:



	"""simple docstring"""




	def __init__(			self    :     Dict			)			->	None:
					lowercase_	    =   {}
	def 		_lowercase    (			self    :     str			,				SCREAMING_SNAKE_CASE_    :     str			)			->	None:
					lowercase_	    =   self._trie
					for char in text:
									if char not in trie:
													lowercase_	    =   {}
									lowercase_	    =   trie[char]
					lowercase_	    =   True
	def 		_lowercase    (			self    :     Dict			,				SCREAMING_SNAKE_CASE_    :     str			)			->	tuple | list:
					lowercase_	    =   self._trie
					for char in prefix:
									if char in trie:
													lowercase_	    =   trie[char]
									else:
													return []
					return self._elements(SCREAMING_SNAKE_CASE_			)




	def 		_lowercase    (			self    :     int			,				SCREAMING_SNAKE_CASE_    :     dict			)			->	tuple:
					lowercase_	    =   []
					for c, v in d.items():
									lowercase_	    =   [''' '''] if c == END else [(c + s) for s in self._elements(SCREAMING_SNAKE_CASE_			)]
									result.extend(SCREAMING_SNAKE_CASE_			)
					return tuple(SCREAMING_SNAKE_CASE_			)

__a         =   Trie()
__a         =   ('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
						trie.insert_word(word)




def 							a		(				snake_case__:   str   ):


				'''simple docstring'''
				lowercase_	    =   trie.find_word(snake_case__   )
				return tuple(string + word for word in suffixes   )




def 							a		(				):


				'''simple docstring'''
				print(autocomplete_using_trie('''de'''   )   )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()






import copy

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


__a         =   logging.get_logger(__name__)
class 					lowercase__(							UpperCAmelCase				):



	"""simple docstring"""




	a     :List[str]       	=      'encoder-decoder'
	a     :Any       	=      True
	def __init__(			self    :     List[Any]			,				**SCREAMING_SNAKE_CASE_    :     List[Any]			)			->	Optional[int]:
					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 		_lowercase    (			cls    :     Optional[int]			,				SCREAMING_SNAKE_CASE_    :     PretrainedConfig			,				SCREAMING_SNAKE_CASE_    :     PretrainedConfig			,				**SCREAMING_SNAKE_CASE_    :     Optional[int]			)			->	PretrainedConfig:
					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 		_lowercase    (			self    :     Tuple			)			->	List[Any]:
					lowercase_	    =   copy.deepcopy(self.__dict__			)
					lowercase_	    =   self.encoder.to_dict()
					lowercase_	    =   self.decoder.to_dict()
					lowercase_	    =   self.__class__.model_type
					return output




