

from __future__ import annotations
def   a   (    A__			:     list[int]   ,     A__			:     list[int]   ,     A__			:     int  )					->   tuple[float, list[float]]:





      """simple docstring"""



      _lowercase			 =list(range(len(A__  )  )  )
      _lowercase			 =[v / w for v, w in zip(A__   ,     A__  )]
      index.sort(key=lambda A__  : ratio[i]   ,     reverse=A__  )

      _lowercase			 =0
      _lowercase			 =[0] * len(A__  )
      for i in index:
            if weight[i] <= capacity:
                  _lowercase			 =1
                  max_value += value[i]
                  capacity -= weight[i]
            else:
                  _lowercase			 =capacity / weight[i]
                  max_value += value[i] * capacity / weight[i]
                  break

      return max_value, fractions


if __name__ == "__main__":
  import doctest

  doctest.testmod()





def   a   (    A__			:     Optional[int]  )					->   Tuple:





      """simple docstring"""



      _lowercase			 =[0] * len(A__  )
      _lowercase			 =[]
      _lowercase			 =[]
      _lowercase			 =0

      for values in graph.values():
            for i in values:
                  indegree[i] += 1

      for i in range(len(A__  )  ):
            if indegree[i] == 0:
                  queue.append(A__  )

      while queue:
            _lowercase			 =queue.pop(0  )
            cnt += 1
            topo.append(A__  )
            for x in graph[vertex]:
                  indegree[x] -= 1
                  if indegree[x] == 0:
                        queue.append(A__  )

      if cnt != len(A__  ):
            print('Cycle exists'  )
      else:
            print(A__  )


# Adjacency List of Graph
lowercase_             =     {0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}







topological_sort(graph)


