






def   lowerCamelCase__			(     lowercase				):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      Any							=    [0] * len(_lowerCamelCase				)

  for i in range(1						,     len(_lowerCamelCase				)				):
    # use last results for better performance - dynamic programming
    SCREAMING_SNAKE_CASE       :      Optional[int]							=    prefix_result[i - 1]
    while j > 0 and input_string[i] != input_string[j]:
      SCREAMING_SNAKE_CASE       :      Any							=    prefix_result[j - 1]

    if input_string[i] == input_string[j]:
      j += 1
    SCREAMING_SNAKE_CASE       :      Optional[int]							=    j

  return prefix_result


def   lowerCamelCase__			(     lowercase				):

  """simple docstring"""






  return max(prefix_function(_lowerCamelCase				)				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()














def   lowerCamelCase__			(     lowercase				):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      Dict							=    [0] * len(lowercase				)
  SCREAMING_SNAKE_CASE       :      List[str]							=    []
  SCREAMING_SNAKE_CASE       :      Optional[Any]							=    []
  SCREAMING_SNAKE_CASE       :      Any							=    0

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

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

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

  if cnt != len(lowercase				):
    print("Cycle exists"				)
  else:
    print(lowercase				)


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

topological_sort(graph)






