




import logging

from transformers import PretrainedConfig


lowerCamelCase    :		str			   =       logging.getLogger(__name__)


lowerCamelCase    :		Optional[int]			   =       {
    "bertabs-finetuned-cnndm": "https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json",
}







class   A(						UpperCamelCase       ):



 '''simple docstring'''


 UpperCamelCase						       =						'''bertabs'''

 def __init__(    self :  List[str]						,							A_ :  Union[str, Any]=30522						,							A_ :  Dict=512						,							A_ :  int=6						,							A_ :  List[Any]=512						,							A_ :  str=8						,							A_ :  Optional[int]=512						,							A_ :  Optional[int]=0.2						,							A_ :  List[str]=6						,							A_ :  List[str]=768						,							A_ :  Tuple=8						,							A_ :  Optional[Any]=2048						,							A_ :  Any=0.2						,							**A_ :  List[Any]						,							)       ->     Any:

       """simple docstring"""






       super().__init__(**A_  )

       lowerCamelCase_							=   vocab_size
       lowerCamelCase_							=   max_pos

       lowerCamelCase_							=   enc_layers
       lowerCamelCase_							=   enc_hidden_size
       lowerCamelCase_							=   enc_heads
       lowerCamelCase_							=   enc_ff_size
       lowerCamelCase_							=   enc_dropout

       lowerCamelCase_							=   dec_layers
       lowerCamelCase_							=   dec_hidden_size
       lowerCamelCase_							=   dec_heads
       lowerCamelCase_							=   dec_ff_size
       lowerCamelCase_							=   dec_dropout









from __future__ import annotations

def       _SCREAMING_SNAKE_CASE      (							lowercase     :	dict     ,							lowercase     :	str					):


      '''simple docstring'''



      lowerCamelCase_					,    lowerCamelCase_							=   set(lowercase					), [start]

      while stack:
            lowerCamelCase_							=   stack.pop()
            explored.add(lowercase					)
            # Differences from BFS:
            # 1) pop last element instead of first one
            # 2) add adjacent elements to stack without exploring them
            for adj in reversed(graph[v]					):
                  if adj not in explored:
                        stack.append(lowercase					)
      return explored


lowerCamelCase    :		int			   =       {
    "A": ["B", "C", "D"],
    "B": ["A", "D", "E"],
    "C": ["A", "F"],
    "D": ["B", "D"],
    "E": ["B", "F"],
    "F": ["C", "E", "G"],
    "G": ["F"],
}

if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(depth_first_search(G, "A"))



