


from __future__ import annotations



class  UpperCAmelCase_						:
       '''simple docstring'''






       def __init__(  self			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              UpperCamelCase     :						Tuple 						=		vertices
              UpperCamelCase     :						Optional[int] 						=		[[0] * vertices for _ in range(__SCREAMING_SNAKE_CASE    )]






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              print('''Vertex \t Distance from Source'''    )
              for vertex in range(self.vertices    ):
                     print(__SCREAMING_SNAKE_CASE			,       '''\t\t'''			,       distances_from_source[vertex]    )






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              UpperCamelCase     :						Optional[Any] 						=		1e7
              UpperCamelCase     :						Optional[int] 						=		0

              # Search not nearest vertex not in the shortest path tree
              for vertex in range(self.vertices    ):
                     if distances_from_source[vertex] < minimum and visited[vertex] is False:
                            UpperCamelCase     :						Any 						=		distances_from_source[vertex]
                            UpperCamelCase     :						int 						=		vertex
              return min_index






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              UpperCamelCase     :						Optional[int] 						=		[int(1e7    )] * self.vertices  # distances from the source
              UpperCamelCase     :						Any 						=		0
              UpperCamelCase     :						List[Any] 						=		[False] * self.vertices

              for _ in range(self.vertices    ):
                     UpperCamelCase     :						List[str] 						=		self.minimum_distance(__SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE    )
                     UpperCamelCase     :						Optional[int] 						=		True

                     # Update dist value of the adjacent vertices
                     # of the picked vertex only if the current
                     # distance is greater than new distance and
                     # the vertex in not in the shortest path tree
                     for v in range(self.vertices    ):
                            if (
                                self.graph[u][v] > 0
                                and visited[v] is False
                                and distances[v] > distances[u] + self.graph[u][v]
                            ):
                                   UpperCamelCase     :						Union[str, Any] 						=		distances[u] + self.graph[u][v]

              self.print_solution(__SCREAMING_SNAKE_CASE    )


if __name__ == "__main__":
  __UpperCAmelCase			:			Optional[int]			      =					Graph(9)
  __UpperCAmelCase			:			Optional[Any]			      =					[
      [0, 4, 0, 0, 0, 0, 0, 8, 0],
      [4, 0, 8, 0, 0, 0, 0, 11, 0],
      [0, 8, 0, 7, 0, 4, 0, 0, 2],
      [0, 0, 7, 0, 9, 14, 0, 0, 0],
      [0, 0, 0, 9, 0, 10, 0, 0, 0],
      [0, 0, 4, 14, 10, 0, 2, 0, 0],
      [0, 0, 0, 0, 0, 2, 0, 1, 6],
      [8, 11, 0, 0, 0, 0, 1, 0, 7],
      [0, 0, 2, 0, 0, 0, 6, 7, 0],
  ]
  graph.dijkstra(0)





import sys


def   a						(				SCREAMING_SNAKE_CASE_   :		int				,      SCREAMING_SNAKE_CASE_   :		list[int]							):






       """simple docstring"""





       if not numbers:
              return 0
       if target == 0 and target in numbers:
              return 0
       if not isinstance(SCREAMING_SNAKE_CASE_				,      (list, tuple)							) or not all(
           isinstance(SCREAMING_SNAKE_CASE_				,      SCREAMING_SNAKE_CASE_							) for number in numbers							):
              raise ValueError('''numbers must be an iterable of integers'''							)

       UpperCamelCase     :						Dict 						=		0
       UpperCamelCase     :						Tuple 						=		sys.maxsize

       while right < len(SCREAMING_SNAKE_CASE_							):
              curr_sum += numbers[right]
              while curr_sum >= target and left <= right:
                     UpperCamelCase     :						int 						=		min(SCREAMING_SNAKE_CASE_				,      right - left + 1							)
                     curr_sum -= numbers[left]
                     left += 1
              right += 1

       return 0 if min_len == sys.maxsize else min_len

