



def        A       (      _lowerCamelCase						):  # noqa: E741





       '''simple docstring'''




       _lowerCAmelCase  :							str				     =					len(_lowercase						)
       _lowerCAmelCase  :							Union[str, Any]				     =					0
       _lowerCAmelCase  :							Any				     =					[0] * n
       _lowerCAmelCase  :							Dict				     =					[False] * n
       _lowerCAmelCase  :							Optional[Any]				     =					[False] * n

       def dfs(_lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase						):
              if parent == root:
                     out_edge_count += 1
              _lowerCAmelCase  :							int				     =					True
              _lowerCAmelCase  :							Optional[Any]				     =					at

              for to in l[at]:
                     if to == parent:
                            pass
                     elif not visited[to]:
                            _lowerCAmelCase  :							Optional[int]				     =					dfs(_lowercase       ,				_lowercase       ,				_lowercase       ,				_lowercase						)
                            _lowerCAmelCase  :							Dict				     =					min(low[at]       ,				low[to]						)

                            # AP found via bridge
                            if at < low[to]:
                                   _lowerCAmelCase  :							str				     =					True
                            # AP found via cycle
                            if at == low[to]:
                                   _lowerCAmelCase  :							int				     =					True
                     else:
                            _lowerCAmelCase  :							List[str]				     =					min(low[at]       ,				_lowercase						)
              return out_edge_count

       for i in range(_lowercase						):
              if not visited[i]:
                     _lowerCAmelCase  :							str				     =					0
                     _lowerCAmelCase  :							Dict				     =					dfs(_lowercase       ,				_lowercase       ,				-1       ,				_lowercase						)
                     _lowerCAmelCase  :							str				     =					out_edge_count > 1

       for x in range(len(_lowercase						)						):
              if is_art[x] is True:
                     print(_lowercase						)


# Adjacency list of graph
_snake_case	=						{
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}



compute_ap(data)





import requests
from bsa import BeautifulSoup






def        A       (      _lowerCamelCase = "https://www.worldometers.info/coronavirus"						):





							'''simple docstring'''




							_lowerCAmelCase  :							str				     =					BeautifulSoup(requests.get(_lowerCamelCase						).text       ,				"html.parser"						)
							_lowerCAmelCase  :							str				     =					soup.findAll("h1"						)
							_lowerCAmelCase  :							Optional[int]				     =					soup.findAll("div"       ,				{"class": "maincounter-number"}						)
							keys += soup.findAll("span"       ,				{"class": "panel-title"}						)
							values += soup.findAll("div"       ,				{"class": "number-table-main"}						)
							return {key.text.strip(): value.text.strip() for key, value in zip(_lowerCamelCase       ,				_lowerCamelCase						)}


if __name__ == "__main__":
						print("\033[1m" + "COVID-19 Status of the World" + "\033[0m\n")
						for key, value in world_covidaa_stats().items():
												print(f'''{key}\n{value}\n''')
