"""simple docstring"""



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


SCREAMING_SNAKE_CASE    =	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE    =	{
    "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      UpperCAmelCase_  (						_UpperCAmelCase							):
    lowercase__						 =				"markuplm"




    def __init__(   self						:	Union[str, Any]     ,			snake_case_						:	List[str]=30_522     ,			snake_case_						:	Union[str, Any]=768     ,			snake_case_						:	Dict=12     ,			snake_case_						:	Union[str, Any]=12     ,			snake_case_						:	Optional[Any]=3_072     ,			snake_case_						:	str="gelu"     ,			snake_case_						:	List[str]=0.1     ,			snake_case_						:	str=0.1     ,			snake_case_						:	Optional[int]=512     ,			snake_case_						:	Any=2     ,			snake_case_						:	Tuple=0.02     ,			snake_case_						:	int=1e-12     ,			snake_case_						:	List[str]=0     ,			snake_case_						:	Union[str, Any]=0     ,			snake_case_						:	int=2     ,			snake_case_						:	Union[str, Any]=256     ,			snake_case_						:	Optional[int]=1_024     ,			snake_case_						:	Dict=216     ,			snake_case_						:	Optional[Any]=1_001     ,			snake_case_						:	int=32     ,			snake_case_						:	List[Any]=50     ,			snake_case_						:	Optional[int]="absolute"     ,			snake_case_						:	Tuple=True     ,			snake_case_						:	Any=None     ,			**snake_case_						:	Tuple     ,			)				->							int:




     '''simple docstring'''

     super().__init__(
         pad_token_id=_UpperCAmelCase     ,			bos_token_id=_UpperCAmelCase     ,			eos_token_id=_UpperCAmelCase     ,			**_UpperCAmelCase     ,			)
     A__	=    vocab_size
     A__	=    hidden_size
     A__	=    num_hidden_layers
     A__	=    num_attention_heads
     A__	=    hidden_act
     A__	=    intermediate_size
     A__	=    hidden_dropout_prob
     A__	=    attention_probs_dropout_prob
     A__	=    max_position_embeddings
     A__	=    type_vocab_size
     A__	=    initializer_range
     A__	=    layer_norm_eps
     A__	=    position_embedding_type
     A__	=    use_cache
     A__	=    classifier_dropout
     # additional properties
     A__	=    max_depth
     A__	=    max_xpath_tag_unit_embeddings
     A__	=    max_xpath_subs_unit_embeddings
     A__	=    tag_pad_id
     A__	=    subs_pad_id
     A__	=    xpath_unit_hidden_size











"""simple docstring"""



from __future__ import annotations

SCREAMING_SNAKE_CASE    =	"#"




class      UpperCAmelCase_  :




    def __init__(   self						:	Dict				)				->							None:




     '''simple docstring'''

     A__	=    {}




    def 							__magic_name__							(   self						:	Optional[Any]     ,			snake_case_						:	str				)				->							None:




     '''simple docstring'''

     A__	=    self._trie
     for char in text:
      if char not in trie:
       A__	=    {}
      A__	=    trie[char]
     A__	=    True




    def 							__magic_name__							(   self						:	List[Any]     ,			snake_case_						:	str				)				->							tuple | list:




     '''simple docstring'''

     A__	=    self._trie
     for char in prefix:
      if char in trie:
       A__	=    trie[char]
      else:
       return []
     return self._elements(snake_case_				)




    def 							__magic_name__							(   self						:	Union[str, Any]     ,			snake_case_						:	dict				)				->							tuple:




     '''simple docstring'''

     A__	=    []
     for c, v in d.items():
      A__	=    [" "] if c == END else [(c + s) for s in self._elements(snake_case_				)]
      result.extend(snake_case_				)
     return tuple(snake_case_				)






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







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		tuple:
 A__	=    trie.find_word(lowercase_						)
 return tuple(string + word for word in suffixes						)







def   _SCREAMING_SNAKE_CASE       (							)						->		None:
 print(autocomplete_using_trie("de"						)						)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()





