



__UpperCAmelCase          =       {
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}
def 		UpperCamelCase	(   snake_case__       :    dict       ,     snake_case__       :    List[Any]       ,     snake_case__       :    Dict	)	->     list[str]:
   UpperCamelCase    :  List[Any]							=	set()
   # keep track of all the paths to be checked
   UpperCamelCase    :  Any							=	[[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
      UpperCamelCase    :  Optional[int]							=	queue.pop(0	)
      # get the last node from the path
      UpperCamelCase    :  Dict							=	path[-1]
      if node not in explored:
         UpperCamelCase    :  Optional[int]							=	graph[node]
         # go through all neighbour nodes, construct a new path and
         # push it into the queue
         for neighbour in neighbours:
            UpperCamelCase    :  int							=	list(snake_case__	)
            new_path.append(snake_case__	)
            queue.append(snake_case__	)
            # return path if neighbour is goal
            if neighbour == goal:
               return new_path

            # mark node as explored
         explored.add(snake_case__	)

    # in case there's no path between the 2 nodes
   return []
def 		UpperCamelCase	(   snake_case__       :    dict       ,     snake_case__       :    List[str]       ,     snake_case__       :    Optional[int]	)	->     int:
   if not graph or start not in graph or target not in graph:
      return -1
   if start == target:
      return 0
   UpperCamelCase    :  Union[str, Any]							=	[start]
   UpperCamelCase    :  Any							=	set(snake_case__	)
   # Keep tab on distances from `start` node.
   UpperCamelCase    :  Dict							=	{start: 0, target: -1}
   while queue:
      UpperCamelCase    :  List[Any]							=	queue.pop(0	)
      if node == target:
         UpperCamelCase    :  List[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(snake_case__	)
            queue.append(snake_case__	)
            UpperCamelCase    :  Union[str, 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








import argparse
import json

from tqdm import tqdm
def 		UpperCamelCase	(   )	->     Optional[int]:
   UpperCamelCase    :  List[Any]							=	argparse.ArgumentParser()

   # Required parameters
   parser.add_argument(
       '--src_path'       ,     type=snake_case__       ,     default='biencoder-nq-dev.json'       ,     help='Path to raw DPR training data'       ,     )
   parser.add_argument(
       '--evaluation_set'       ,     type=snake_case__       ,     help='where to store parsed evaluation_set file'       ,     )
   parser.add_argument(
       '--gold_data_path'       ,     type=snake_case__       ,     help='where to store parsed gold_data_path file'       ,     )
   UpperCamelCase    :  int							=	parser.parse_args()

   with open(args.src_path       ,     'r'	) as src_file, open(args.evaluation_set       ,     'w'	) as eval_file, open(
       args.gold_data_path       ,     'w'	) as gold_file:
      UpperCamelCase    :  int							=	json.load(snake_case__	)
      for dpr_record in tqdm(snake_case__	):
         UpperCamelCase    :  Union[str, Any]							=	dpr_record['question']
         UpperCamelCase    :  Dict							=	[context['title'] for context in dpr_record['positive_ctxs']]
         eval_file.write(question + '\n'	)
         gold_file.write('\t'.join(snake_case__	) + '\n'	)


if __name__ == "__main__":
    main()



