"""simple docstring"""
lowercase__   			=      [[0, 1, 1], [0, 0, 1], [1, 0, 0]]




class   __snake_case			:



      def __init__(		self       ,     lowercase)      ->     Optional[int]:





        '''simple docstring'''





        a__:	Optional[int]     				=      name
        a__:	str     				=      []
        a__:	Optional[Any]     				=      []



      def     lowerCamelCase_  (		self       ,     lowercase)      ->     str:





        '''simple docstring'''





        self.inbound.append(lowercase)



      def     lowerCamelCase_  (		self       ,     lowercase)      ->     int:





        '''simple docstring'''





        self.outbound.append(lowercase)



      def __repr__(		self)      ->     Optional[int]:





        '''simple docstring'''





        return f'<node={self.name} inbound={self.inbound} outbound={self.outbound}>'







def 		__a  (      _SCREAMING_SNAKE_CASE						,	_SCREAMING_SNAKE_CASE=3						,	_SCREAMING_SNAKE_CASE=0.85  )      ->Optional[Any]:
  a__:	List[str]     				=      {}
  for node in nodes:
    a__:	Dict     				=      1

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

  for i in range(_SCREAMING_SNAKE_CASE  ):
    print(F'======= Iteration {i + 1} ======='  )
    for _, node in enumerate(_SCREAMING_SNAKE_CASE  ):
      a__:	Optional[int]     				=      (1 - d) + d * sum(
          ranks[ib] / outbounds[ib] for ib in node.inbound  )
    print(_SCREAMING_SNAKE_CASE  )







def 		__a  (      )      ->Any:
  a__:	str     				=      list(input('Enter Names of the Nodes: '  ).split()  )

  a__:	int     				=      [Node(_SCREAMING_SNAKE_CASE  ) for name in names]

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

  print('======= Nodes ======='  )
  for node in nodes:
    print(_SCREAMING_SNAKE_CASE  )

  page_rank(_SCREAMING_SNAKE_CASE  )


if __name__ == "__main__":
 main()



"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__   			=      logging.get_logger(__name__)

lowercase__   			=      {
    'tau/splinter-base': 'https://huggingface.co/tau/splinter-base/resolve/main/config.json',
    'tau/splinter-base-qass': 'https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json',
    'tau/splinter-large': 'https://huggingface.co/tau/splinter-large/resolve/main/config.json',
    'tau/splinter-large-qass': 'https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json',
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}




class   __snake_case			(	__lowerCAmelCase							):
      a__								=						"""splinter"""



      def __init__(		self       ,     lowercase=3_05_22       ,     lowercase=7_68       ,     lowercase=12       ,     lowercase=12       ,     lowercase=30_72       ,     lowercase="gelu"       ,     lowercase=0.1       ,     lowercase=0.1       ,     lowercase=5_12       ,     lowercase=2       ,     lowercase=0.02       ,     lowercase=1e-12       ,     lowercase=True       ,     lowercase=0       ,     lowercase=1_04       ,     **lowercase       ,     )      ->     Union[str, Any]:





        '''simple docstring'''





        super().__init__(pad_token_id=lowercase       ,     **lowercase)

        a__:	Dict     				=      vocab_size
        a__:	Dict     				=      max_position_embeddings
        a__:	Dict     				=      hidden_size
        a__:	int     				=      num_hidden_layers
        a__:	str     				=      num_attention_heads
        a__:	Dict     				=      intermediate_size
        a__:	Tuple     				=      hidden_act
        a__:	Optional[Any]     				=      hidden_dropout_prob
        a__:	List[Any]     				=      attention_probs_dropout_prob
        a__:	Tuple     				=      initializer_range
        a__:	str     				=      type_vocab_size
        a__:	Optional[Any]     				=      layer_norm_eps
        a__:	Any     				=      use_cache
        a__:	List[Any]     				=      question_token_id


