



_snake_case	=						{"a": ["c", "b"], "b": ["d", "e"], "c": [], "d": [], "e": []}
_snake_case	=						["a", "b", "c", "d", "e"]






def        A       (      _lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase						):





							'''simple docstring'''




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


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





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))
