



"""simple docstring"""
__a           =							[[0, 1, 1], [0, 0, 1], [1, 0, 0]]
class 							lowerCamelCase    :






					'''simple docstring'''





					def __init__(			self:				str		,	snake_case:				Any		)  ->      Union[str, Any]:
											snake_case_					:int		=     name
											snake_case_					:int		=     []
											snake_case_					:Any		=     []






					def   lowerCAmelCase_							(			self:				int		,	snake_case:				Any		)  ->      List[str]:
											self.inbound.append(snake_case		)






					def   lowerCAmelCase_							(			self:				List[str]		,	snake_case:				Optional[int]		)  ->      str:
											self.outbound.append(snake_case		)






					def __repr__(			self:				Union[str, Any]		)  ->      Union[str, Any]:
											return f"""<node={self.name} inbound={self.inbound} outbound={self.outbound}>"""

def   A_    (     _lowercase,   _lowercase=3,   _lowercase=0.85      ):







						'''simple docstring'''


						snake_case_					:List[Any]		=     {}
						for node in nodes:
												snake_case_					:Optional[int]		=     1

						snake_case_					:List[Any]		=     {}
						for node in nodes:
												snake_case_					:List[str]		=     len(node.outbound      )

						for i in range(_lowercase      ):
												print(f"""======= Iteration {i + 1} ======="""      )
												for _, node in enumerate(_lowercase      ):
																		snake_case_					:List[str]		=     (1 - d) + d * sum(
																		    ranks[ib] / outbounds[ib] for ib in node.inbound      )
												print(_lowercase      )
def   A_    (     ):







						'''simple docstring'''


						snake_case_					:Any		=     list(input("""Enter Names of the Nodes: """      ).split()      )

						snake_case_					:Tuple		=     [Node(_lowercase      ) for name in names]

						for ri, row in enumerate(_lowercase      ):
												for ci, col in enumerate(_lowercase      ):
																		if col == 1:
																								nodes[ci].add_inbound(names[ri]      )
																								nodes[ri].add_outbound(names[ci]      )

						print("""======= Nodes ======="""      )
						for node in nodes:
												print(_lowercase      )

						page_rank(_lowercase      )


if __name__ == "__main__":
						main()



"""simple docstring"""



from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers



class        a    :



    """simple docstring"""



    def __init__(  self:			List[Any]     ,    UpperCamelCase:			str							):






         """simple docstring"""


         A__				      =	vocab
         A__				      =	normalizers.BertNormalizer(
             clean_text=UpperCamelCase     ,    handle_chinese_chars=UpperCamelCase     ,    strip_accents=UpperCamelCase     ,    lowercase=UpperCamelCase     ,    )
         try:
              import rjieba
         except ImportError:
              raise ImportError(
                  """You need to install rjieba to use RoFormerTokenizer. """
                  """See https://pypi.org/project/rjieba/ for installation."""							)
         A__				      =	rjieba

    def 					UpperCamelCase						(  self:			Optional[Any]     ,    UpperCamelCase:			int     ,    UpperCamelCase:			NormalizedString							):






         """simple docstring"""


         A__				      =	[]

         # this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
         for token, start, end in self.jieba.tokenize(str(UpperCamelCase							)     ,    hmm=UpperCamelCase							):
              if token in self.vocab:
                   splits.append(normalized_string[start:end]							)
              else:
                   A__				      =	self.normalizers.normalize_str(UpperCamelCase							).split()
                   for token in token_list:
                        if token:
                             A__				      =	start + len(UpperCamelCase							)
                             splits.append(normalized_string[start:end]							)
                             A__				      =	end

        # this code test_alignement_methods can't pass but fast (300ms)
        # for token in self.jieba.cut(str(normalized_string), False):
        #     if token in self.vocab:
        #         splits.append(NormalizedString(token))
        #     else:
        #         token_list = self.normalizers.normalize_str(token).split()
        #         for token in token_list:
        #             if token:
        #                 splits.append(NormalizedString(token))

         return splits





    def 					UpperCamelCase						(  self:			Tuple     ,    UpperCamelCase:			PreTokenizedString							):






         """simple docstring"""


         pretok.split(self.jieba_split							)






