



'''simple docstring'''

from __future__ import annotations

_A				:    str     						='''#'''



class 		lowerCamelCase__      :




					'''simple docstring'''



					def __init__(  self				:	Any					)  ->       None:



						'''simple docstring'''





						_lowercase					:       dict       =		{}




					def 						__UpperCAmelCase     (  self				:	List[Any]     ,  UpperCamelCase_				:	str					)  ->       None:



						'''simple docstring'''





						_lowercase					:       Any       =		self._trie
						for char in text:
							if char not in trie:
								_lowercase					:       Tuple       =		{}
							_lowercase					:       List[Any]       =		trie[char]
						_lowercase					:       Dict       =		True




					def 						__UpperCAmelCase     (  self				:	str     ,  UpperCamelCase_				:	str					)  ->       tuple | list:



						'''simple docstring'''





						_lowercase					:       Any       =		self._trie
						for char in prefix:
							if char in trie:
								_lowercase					:       int       =		trie[char]
							else:
								return []
						return self._elements(UpperCamelCase_					)




					def 						__UpperCAmelCase     (  self				:	int     ,  UpperCamelCase_				:	dict					)  ->       tuple:



						'''simple docstring'''





						_lowercase					:       Tuple       =		[]
						for c, v in d.items():
							_lowercase					:       Optional[int]       =		[' '] if c == END else [(c + s) for s in self._elements(UpperCamelCase_					)]
							result.extend(UpperCamelCase_					)
						return tuple(UpperCamelCase_					)






_A				:    Tuple     						=Trie()
_A				:    List[Any]     						=('''depart''', '''detergent''', '''daring''', '''dog''', '''deer''', '''deal''')
for word in words:
		trie.insert_word(word)







def 						__UpperCamelCase				(							_lowercase					) ->			tuple:
	_lowercase					:       Optional[int]       =		trie.find_word(_lowercase					)
	return tuple(string + word for word in suffixes					)







def 						__UpperCamelCase				(							) ->			None:
	print(autocomplete_using_trie('de'					)					)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()





'''simple docstring'''

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


_A				:    Optional[Any]     						=logging.get_logger(__name__)

_A				:    Optional[int]     						={
    '''microsoft/markuplm-base''': '''https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json''',
    '''microsoft/markuplm-large''': '''https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json''',
}



class 		lowerCamelCase__      (						A     ):




					'''simple docstring'''



					A_						    =						"""markuplm"""




					def __init__(  self				:	int     ,  UpperCamelCase_				:	Optional[Any]=3_0522     ,  UpperCamelCase_				:	Optional[Any]=768     ,  UpperCamelCase_				:	Tuple=12     ,  UpperCamelCase_				:	Union[str, Any]=12     ,  UpperCamelCase_				:	Tuple=3072     ,  UpperCamelCase_				:	Union[str, Any]="gelu"     ,  UpperCamelCase_				:	List[Any]=0.1     ,  UpperCamelCase_				:	List[Any]=0.1     ,  UpperCamelCase_				:	Dict=512     ,  UpperCamelCase_				:	Optional[int]=2     ,  UpperCamelCase_				:	Any=0.02     ,  UpperCamelCase_				:	Optional[Any]=1E-12     ,  UpperCamelCase_				:	List[str]=0     ,  UpperCamelCase_				:	Optional[int]=0     ,  UpperCamelCase_				:	Tuple=2     ,  UpperCamelCase_				:	str=256     ,  UpperCamelCase_				:	Optional[Any]=1024     ,  UpperCamelCase_				:	Union[str, Any]=216     ,  UpperCamelCase_				:	int=1001     ,  UpperCamelCase_				:	int=32     ,  UpperCamelCase_				:	int=50     ,  UpperCamelCase_				:	str="absolute"     ,  UpperCamelCase_				:	Union[str, Any]=True     ,  UpperCamelCase_				:	Optional[int]=None     ,  **UpperCamelCase_				:	Any     ,  )  ->       Optional[int]:



						'''simple docstring'''





						super().__init__(
						    pad_token_id=UpperCamelCase_     ,  bos_token_id=UpperCamelCase_     ,  eos_token_id=UpperCamelCase_     ,  **UpperCamelCase_     ,  )
						_lowercase					:       List[Any]       =		vocab_size
						_lowercase					:       Union[str, Any]       =		hidden_size
						_lowercase					:       Dict       =		num_hidden_layers
						_lowercase					:       Optional[Any]       =		num_attention_heads
						_lowercase					:       Dict       =		hidden_act
						_lowercase					:       Optional[Any]       =		intermediate_size
						_lowercase					:       Optional[int]       =		hidden_dropout_prob
						_lowercase					:       Union[str, Any]       =		attention_probs_dropout_prob
						_lowercase					:       Any       =		max_position_embeddings
						_lowercase					:       List[Any]       =		type_vocab_size
						_lowercase					:       Union[str, Any]       =		initializer_range
						_lowercase					:       Optional[int]       =		layer_norm_eps
						_lowercase					:       Optional[Any]       =		position_embedding_type
						_lowercase					:       str       =		use_cache
						_lowercase					:       str       =		classifier_dropout
						# additional properties
						_lowercase					:       int       =		max_depth
						_lowercase					:       Dict       =		max_xpath_tag_unit_embeddings
						_lowercase					:       str       =		max_xpath_subs_unit_embeddings
						_lowercase					:       List[str]       =		tag_pad_id
						_lowercase					:       Optional[int]       =		subs_pad_id
						_lowercase					:       Any       =		xpath_unit_hidden_size
