'''simple docstring'''





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


_lowerCAmelCase	:Tuple						=     logging.get_logger(__name__)

_lowerCAmelCase	:Tuple						=     {
    """facebook/dpr-ctx_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-ctx_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-multiset-base""": (
        """https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"""
    ),
}






class 					UpperCAmelCase			(							_SCREAMING_SNAKE_CASE			):




    '''simple docstring'''







    snake_case__				: Dict						    =    "dpr"






    def __init__(							self     ,				lowercase__=30_522     ,				lowercase__=768     ,				lowercase__=12     ,				lowercase__=12     ,				lowercase__=3_072     ,				lowercase__="gelu"     ,				lowercase__=0.1     ,				lowercase__=0.1     ,				lowercase__=512     ,				lowercase__=2     ,				lowercase__=0.0_2     ,				lowercase__=1E-12     ,				lowercase__=0     ,				lowercase__="absolute"     ,				lowercase__ = 0     ,				**lowercase__     ,				)				->			Optional[Any]:
         super().__init__(pad_token_id=_UpperCamelCase     ,				**_UpperCamelCase			)

         SCREAMING_SNAKE_CASE       :      Any     						=							vocab_size
         SCREAMING_SNAKE_CASE       :      Any     						=							hidden_size
         SCREAMING_SNAKE_CASE       :      List[str]     						=							num_hidden_layers
         SCREAMING_SNAKE_CASE       :      Union[str, Any]     						=							num_attention_heads
         SCREAMING_SNAKE_CASE       :      Dict     						=							hidden_act
         SCREAMING_SNAKE_CASE       :      Tuple     						=							intermediate_size
         SCREAMING_SNAKE_CASE       :      int     						=							hidden_dropout_prob
         SCREAMING_SNAKE_CASE       :      Optional[int]     						=							attention_probs_dropout_prob
         SCREAMING_SNAKE_CASE       :      Dict     						=							max_position_embeddings
         SCREAMING_SNAKE_CASE       :      Any     						=							type_vocab_size
         SCREAMING_SNAKE_CASE       :      Tuple     						=							initializer_range
         SCREAMING_SNAKE_CASE       :      int     						=							layer_norm_eps
         SCREAMING_SNAKE_CASE       :      Union[str, Any]     						=							projection_dim
         SCREAMING_SNAKE_CASE       :      Optional[Any]     						=							position_embedding_type







'''simple docstring'''
from __future__ import annotations

def 					lowerCamelCase_ ( __UpperCamelCase					:       dict							,    __UpperCamelCase					:       str		)					->	set[str]:







     """simple docstring"""
     _A		,				_A				=							set(__UpperCamelCase		), [start]

     while stack:
          _A				=							stack.pop()
          explored.add(__UpperCamelCase		)
          # 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(__UpperCamelCase		)
     return explored


lowerCAmelCase						=					{
    """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"""))





