


'''simple docstring'''





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


__UpperCamelCase       :       int						       =				logging.get_logger(__name__)

__UpperCamelCase       :       int						       =				{
    """studio-ousia/luke-base""": """https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json""",
    """studio-ousia/luke-large""": """https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json""",
}

class       __magic_name__	(     SCREAMING_SNAKE_CASE__):
     A:		Dict			=      "luke"


     def __init__(      self							:     int							,	lowerCamelCase__							:     Optional[int]=50267							,	lowerCamelCase__							:     str=500000							,	lowerCamelCase__							:     int=768							,	lowerCamelCase__							:     Union[str, Any]=256							,	lowerCamelCase__							:     Union[str, Any]=12							,	lowerCamelCase__							:     Tuple=12							,	lowerCamelCase__							:     Union[str, Any]=3072							,	lowerCamelCase__							:     Optional[Any]="gelu"							,	lowerCamelCase__							:     int=0.1							,	lowerCamelCase__							:     List[Any]=0.1							,	lowerCamelCase__							:     Tuple=512							,	lowerCamelCase__							:     str=2							,	lowerCamelCase__							:     Tuple=0.02							,	lowerCamelCase__							:     List[Any]=1E-1_2							,	lowerCamelCase__							:     Dict=True							,	lowerCamelCase__							:     Union[str, Any]=None							,	lowerCamelCase__							:     Tuple=1							,	lowerCamelCase__							:     Union[str, Any]=0							,	lowerCamelCase__							:     Dict=2							,	**lowerCamelCase__							:     Optional[int]							,	)  ->      Tuple:





      '''simple docstring'''






      super().__init__(pad_token_id=snake_case__							,	bos_token_id=snake_case__							,	eos_token_id=snake_case__							,	**snake_case__			)

      UpperCamelCase__					:    str          =   vocab_size
      UpperCamelCase__					:    Optional[Any]          =   entity_vocab_size
      UpperCamelCase__					:    Tuple          =   hidden_size
      UpperCamelCase__					:    Optional[Any]          =   entity_emb_size
      UpperCamelCase__					:    List[Any]          =   num_hidden_layers
      UpperCamelCase__					:    Optional[int]          =   num_attention_heads
      UpperCamelCase__					:    Optional[Any]          =   hidden_act
      UpperCamelCase__					:    Union[str, Any]          =   intermediate_size
      UpperCamelCase__					:    Union[str, Any]          =   hidden_dropout_prob
      UpperCamelCase__					:    Optional[Any]          =   attention_probs_dropout_prob
      UpperCamelCase__					:    Any          =   max_position_embeddings
      UpperCamelCase__					:    int          =   type_vocab_size
      UpperCamelCase__					:    Dict          =   initializer_range
      UpperCamelCase__					:    Tuple          =   layer_norm_eps
      UpperCamelCase__					:    int          =   use_entity_aware_attention
      UpperCamelCase__					:    Optional[Any]          =   classifier_dropout






import functools

def 			_a  (				SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    str          =   len(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    Optional[Any]          =   len(SCREAMING_SNAKE_CASE     )

 @functools.cache
 def min_distance(SCREAMING_SNAKE_CASE	:				int    , SCREAMING_SNAKE_CASE	:				int     ) -> int:
  # if first word index is overflow - delete all from the second word
  if indexa >= len_worda:
   return len_worda - indexa
  # if second word index is overflow - delete all from the first word
  if indexa >= len_worda:
   return len_worda - indexa
  UpperCamelCase__					:    Tuple          =   int(worda[indexa] != worda[indexa]     )  # current letters not identical
  return min(
      1 + min_distance(indexa + 1    , SCREAMING_SNAKE_CASE     )    , 1 + min_distance(SCREAMING_SNAKE_CASE    , indexa + 1     )    , diff + min_distance(indexa + 1    , indexa + 1     )    , )

 return min_distance(0    , 0     )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


