






__A      =				{'a': ['c', 'b'], 'b': ['d', 'e'], 'c': [], 'd': [], 'e': []}
__A      =				['a', 'b', 'c', 'd', 'e']




def      __A					(     _lowercase					,			_lowercase					,			_lowercase ):

					'''simple docstring'''







					_A								= start
					# add current to visited
					visited.append(_lowercase )
					_A								= edges[current]
					for neighbor in neighbors:
										# if neighbor not in visited, visit
										if neighbor not in visited:
															_A								= topological_sort(_lowercase					,			_lowercase					,			_lowercase )
    # if all neighbors visited add current to sort
					sort.append(_lowercase )
					# if all vertices haven't been visited select a new one to visit
					if len(_lowercase ) != len(_lowercase ):
										for vertice in vertices:
															if vertice not in visited:
																				_A								= topological_sort(_lowercase					,			_lowercase					,			_lowercase )
    # return sort
					return sort


if __name__ == "__main__":
				__A      =				topological_sort('a', [], [])
				print(sort)











def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= [0] * len(_lowercase )
					_A								= []
					_A								= []
					_A								= 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:
										_A								= 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
__A      =				{0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}


topological_sort(graph)



