



"""simple docstring"""






lowerCAmelCase__        =				{
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}






def        snake_case_  (      A_					:		dict,				A_					:		int,				A_					:		int						):


       '''simple docstring'''





       _lowerCamelCase						:				List[str]    			= set()
       # keep track of all the paths to be checked
       _lowerCamelCase						:				str    			= [[start]]

       # return path if start is goal
       if start == goal:
              return [start]

       # keeps looping until all possible paths have been checked
       while queue:
              # pop the first path from the queue
              _lowerCamelCase						:				str    			= queue.pop(0						)
              # get the last node from the path
              _lowerCamelCase						:				List[Any]    			= path[-1]
              if node not in explored:
                     _lowerCamelCase						:				Union[str, Any]    			= graph[node]
                     # go through all neighbour nodes, construct a new path and
                     # push it into the queue
                     for neighbour in neighbours:
                            _lowerCamelCase						:				Union[str, Any]    			= list(A_						)
                            new_path.append(A_						)
                            queue.append(A_						)
                            # return path if neighbour is goal
                            if neighbour == goal:
                                   return new_path

            # mark node as explored
                     explored.add(A_						)

    # in case there's no path between the 2 nodes
       return []






def        snake_case_  (      A_					:		dict,				A_					:		int,				A_					:		Dict						):


       '''simple docstring'''





       if not graph or start not in graph or target not in graph:
              return -1
       if start == target:
              return 0
       _lowerCamelCase						:				Optional[int]    			= [start]
       _lowerCamelCase						:				int    			= set(A_						)
       # Keep tab on distances from `start` node.
       _lowerCamelCase						:				int    			= {start: 0, target: -1}
       while queue:
              _lowerCamelCase						:				Optional[Any]    			= queue.pop(0						)
              if node == target:
                     _lowerCamelCase						:				Any    			= (
                         dist[node] if dist[target] == -1 else min(dist[target],				dist[node]						)
                     )
              for adjacent in graph[node]:
                     if adjacent not in visited:
                            visited.add(A_						)
                            queue.append(A_						)
                            _lowerCamelCase						:				Any    			= dist[node] + 1
       return dist[target]


if __name__ == "__main__":
   print(bfs_shortest_path(demo_graph, '''G''', '''D'''))  # returns ['G', 'C', 'A', 'B', 'D']
   print(bfs_shortest_path_distance(demo_graph, '''G''', '''D'''))  # returns 4






"""simple docstring"""







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


__lowercase    					=      logging.get_logger(__name__)

__lowercase    					=      {
    """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 						_A  (  _a  ):







    """simple docstring"""




    UpperCAmelCase       :							int	=       """dpr"""






    def __init__(					self				:    List[Any]				, __UpperCAmelCase				:    int=30522				, __UpperCAmelCase				:    Union[str, Any]=768				, __UpperCAmelCase				:    Dict=12				, __UpperCAmelCase				:    List[str]=12				, __UpperCAmelCase				:    Any=3072				, __UpperCAmelCase				:    Optional[int]="gelu"				, __UpperCAmelCase				:    Any=0.1				, __UpperCAmelCase				:    Union[str, Any]=0.1				, __UpperCAmelCase				:    str=512				, __UpperCAmelCase				:    List[str]=2				, __UpperCAmelCase				:    Tuple=0.02				, __UpperCAmelCase				:    List[str]=1e-12				, __UpperCAmelCase				:    List[str]=0				, __UpperCAmelCase				:    str="absolute"				, __UpperCAmelCase				:    int = 0				, **__UpperCAmelCase				:    Tuple				, ):
      super().__init__(pad_token_id=__UpperCAmelCase				, **__UpperCAmelCase)

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






