



'''simple docstring'''





from __future__ import annotations

A__    :   List[str]           =					{
    'A': ['B', 'C', 'E'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F', 'G'],
    'D': ['B'],
    'E': ['A', 'B', 'D'],
    'F': ['C'],
    'G': ['C'],
}



class  snake_case__						:
 def __init__(   self						:							List[Any]      ,     __a						:							List[str]      ,     __a						:							Any  )      ->   None:







       '''simple docstring'''
       __snake_case :   List[Any]													=    graph
       # mapping node to its parent in resulting breadth first tree
       __snake_case :   List[str]													=    {}
       __snake_case :   Any													=    source_vertex
 def A_   (   self						:							Optional[Any]  )      ->   None:







       '''simple docstring'''
       __snake_case :   Optional[Any]													=    {self.source_vertex}
       __snake_case :   Dict													=    None
       __snake_case :   Any													=    [self.source_vertex]  # first in first out queue

       while queue:
             __snake_case :   str													=    queue.pop(0  )
             for adjacent_vertex in self.graph[vertex]:
                   if adjacent_vertex not in visited:
                         visited.add(A_  )
                         __snake_case :   Optional[int]													=    vertex
                         queue.append(A_  )





 def A_   (   self						:							Dict      ,     __a						:							List[str]  )      ->   str:







       '''simple docstring'''






       if target_vertex == self.source_vertex:
             return self.source_vertex

       __snake_case :   List[str]													=    self.parent.get(A_  )
       if target_vertex_parent is None:
             __snake_case :   List[str]													=    (
                 f'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
             )
             raise ValueError(A_  )

       return self.shortest_path(A_  ) + f'''->{target_vertex}'''


if __name__ == "__main__":
    A__    :   Any           =					Graph(graph, '''G''')
    g.breath_first_search()
    print(g.shortest_path('''D'''))
    print(g.shortest_path('''G'''))
    print(g.shortest_path('''Foo'''))





'''simple docstring'''
from string import ascii_lowercase, ascii_uppercase







def 		A_(     A						:		str):
							if not sentence:
														return ""
							UpperCamelCase   			=     dict(zip(A		,     A))
							return lower_to_upper.get(sentence[0]		,     sentence[0]) + sentence[1:]


if __name__ == "__main__":
						from doctest import testmod

						testmod()




