


'''simple docstring'''







from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass


@dataclass
class  lowerCAmelCase_						:





  """simple docstring"""



  a_       :int
  a_       :int


class  lowerCAmelCase_						:





  """simple docstring"""



  def __init__(					self     :							Optional[int]				,							SCREAMING_SNAKE_CASE__     :							int						):





       '''simple docstring'''

       __a       =   [[] for _ in range(SCREAMING_SNAKE_CASE__						)]
       __a       =   size

  def __getitem__(					self     :							List[Any]				,							SCREAMING_SNAKE_CASE__     :							int						):





       '''simple docstring'''

       return iter(self._graph[vertex]						)

  @property
  def __a						(					self     :							List[str]						):





       '''simple docstring'''

       return self._size

  def __a						(					self     :							Optional[Any]				,							SCREAMING_SNAKE_CASE__     :							int				,							SCREAMING_SNAKE_CASE__     :							int				,							SCREAMING_SNAKE_CASE__     :							int						):





       '''simple docstring'''

       if weight not in (0, 1):
            raise ValueError("""Edge weight must be either 0 or 1."""						)

       if to_vertex < 0 or to_vertex >= self.size:
            raise ValueError("""Vertex indexes must be in [0; size)."""						)

       self._graph[from_vertex].append(Edge(SCREAMING_SNAKE_CASE__				,							SCREAMING_SNAKE_CASE__						)						)


  def __a						(					self     :							Dict				,							SCREAMING_SNAKE_CASE__     :							int				,							SCREAMING_SNAKE_CASE__     :							int						):





       '''simple docstring'''

       __a       =   deque([start_vertex]						)
       __a       =   [None] * self.size
       __a       =   0

       while queue:
            __a       =   queue.popleft()
            __a       =   distances[current_vertex]
            if current_distance is None:
                 continue

            for edge in self[current_vertex]:
                 __a       =   current_distance + edge.weight
                 __a       =   distances[edge.destination_vertex]
                 if (
                     isinstance(SCREAMING_SNAKE_CASE__				,							SCREAMING_SNAKE_CASE__						)
                     and new_distance >= dest_vertex_distance
                 ):
                      continue
                 __a       =   new_distance
                 if edge.weight == 0:
                      queue.appendleft(edge.destination_vertex						)
                 else:
                      queue.append(edge.destination_vertex						)

       if distances[finish_vertex] is None:
            raise ValueError("""No path from start_vertex to finish_vertex."""						)

       return distances[finish_vertex]


if __name__ == "__main__":
 import doctest

 doctest.testmod()










'''simple docstring'''







def        __lowercase						(      __SCREAMING_SNAKE_CASE		)				->					Dict:
     """simple docstring"""




     __a       =   []
     __a       =   set({"""(""", """[""", """{"""}		)
     __a       =   set({""")""", """]""", """}"""}		)
     __a       =   {"""{""": """}""", """[""": """]""", """(""": """)"""}

     for i in range(len(__SCREAMING_SNAKE_CASE		)		):
          if s[i] in open_brackets:
               stack.append(s[i]		)

          elif s[i] in closed_brackets and (
              len(__SCREAMING_SNAKE_CASE		) == 0 or (len(__SCREAMING_SNAKE_CASE		) > 0 and open_to_closed[stack.pop()] != s[i])
          ):
               return False

     return len(__SCREAMING_SNAKE_CASE		) == 0




def        __lowercase						(      )				->					List[str]:
     """simple docstring"""




     __a       =   input("""Enter sequence of brackets: """		)
     if is_balanced(__SCREAMING_SNAKE_CASE		):
          print(__SCREAMING_SNAKE_CASE				,  """is balanced"""		)
     else:
          print(__SCREAMING_SNAKE_CASE				,  """is not balanced"""		)


if __name__ == "__main__":
 main()






