'''simple docstring'''

from __future__ import annotations

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


class 					_lowercase						:
      '''simple docstring'''


      def __init__(					self       ,lowerCamelCase_       ,lowerCamelCase_				)      ->      None:



         '''simple docstring'''



         UpperCAmelCase__				:					str 					=	graph
         # mapping node to its parent in resulting breadth first tree
         UpperCAmelCase__				:					dict[str, str | None] 					=	{}
         UpperCAmelCase__				:					List[Any] 					=	source_vertex




      def 		lowerCAmelCase__       (					self				)      ->      None:



         '''simple docstring'''



         UpperCAmelCase__				:					Dict 					=	{self.source_vertex}
         UpperCAmelCase__				:					List[Any] 					=	None
         UpperCAmelCase__				:					Tuple 					=	[self.source_vertex]  # first in first out queue

         while queue:
            UpperCAmelCase__				:					Any 					=	queue.pop(0				)
            for adjacent_vertex in self.graph[vertex]:
               if adjacent_vertex not in visited:
                  visited.add(lowerCamelCase_				)
                  UpperCAmelCase__				:					str 					=	vertex
                  queue.append(lowerCamelCase_				)




      def 		lowerCAmelCase__       (					self       ,lowerCamelCase_				)      ->      str:



         '''simple docstring'''



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

         UpperCAmelCase__				:					Optional[int] 					=	self.parent.get(lowerCamelCase_				)
         if target_vertex_parent is None:
            UpperCAmelCase__				:					Tuple 					=	(
                f'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
            )
            raise ValueError(lowerCamelCase_				)

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


if __name__ == "__main__":
  UpperCamelCase__  :						Optional[int]					=      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 dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Sequence, Value
from .base import TaskTemplate


@dataclass(frozen=lowerCAmelCase )
class 					_lowercase						(   lowerCAmelCase ):
      '''simple docstring'''


      UpperCAmelCase_   :   str   				= field(default='''question-answering-extractive'''		,metadata={'''include_in_asdict_even_if_is_default''': True} )
      UpperCAmelCase_   :   ClassVar[Features]   				= Features({'''question''': Value('''string''' ), '''context''': Value('''string''' )} )
      UpperCAmelCase_   :   ClassVar[Features]   				= Features(
          {
              '''answers''': Sequence(
                  {
                      '''text''': Value('''string''' ),
                      '''answer_start''': Value('''int32''' ),
                  } )
          } )
      UpperCAmelCase_   :   str   				= "question"
      UpperCAmelCase_   :   str   				= "context"
      UpperCAmelCase_   :   str   				= "answers"




      @property
      def 		lowerCAmelCase__       (					self				)      ->      Dict[str, str]:



         '''simple docstring'''



         return {self.question_column: "question", self.context_column: "context", self.answers_column: "answers"}




