



def        A       (      _lowerCamelCase						):





							'''simple docstring'''




							_lowerCAmelCase  :							Any				     =					[0] * len(_lowerCamelCase						)
							_lowerCAmelCase  :							Optional[int]				     =					[]
							_lowerCAmelCase  :							Optional[Any]				     =					[]
							_lowerCAmelCase  :							int				     =					0

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

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

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

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


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



topological_sort(graph)





import requests
from bsa import BeautifulSoup






def        A       (      _lowerCamelCase       ,				_lowerCamelCase						):





							'''simple docstring'''




							_lowerCAmelCase  :							List[str]				     =					BeautifulSoup(requests.get(_lowerCamelCase       ,				params=_lowerCamelCase						).content       ,				"html.parser"						)
							_lowerCAmelCase  :							Any				     =					soup.find("div"       ,				attrs={"class": "gs_ri"}						)
							_lowerCAmelCase  :							str				     =					div.find("div"       ,				attrs={"class": "gs_fl"}						).find_all("a"						)
							return anchors[2].get_text()


if __name__ == "__main__":
						_snake_case	=						{
						    "title": (
						        "Precisely geometry controlled microsupercapacitors for ultrahigh areal "
						        "capacitance, volumetric capacitance, and energy density"
						    ),
						    "journal": "Chem. Mater.",
						    "volume": 30,
						    "pages": "3979-3990",
						    "year": 2018,
						    "hl": "en",
						}
						print(get_citation("https://scholar.google.com/scholar_lookup", params=params))
