

'''simple docstring'''





A__        =			[[0, 1, 1], [0, 0, 1], [1, 0, 0]]







class    UpperCamelCase_			:


  """simple docstring"""



  def __init__(	self    :				Any     ,  A_    :				List[Any]	)					-> Union[str, Any]:
      SCREAMING_SNAKE_CASE__					     =						name
      SCREAMING_SNAKE_CASE__					     =						[]
      SCREAMING_SNAKE_CASE__					     =						[]



  def      _UpperCamelCase    (	self    :				Tuple     ,  A_    :				Optional[Any]	)					-> Dict:
      self.inbound.append(_A	)



  def      _UpperCamelCase    (	self    :				Dict     ,  A_    :				Optional[int]	)					-> Optional[Any]:
      self.outbound.append(_A	)







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





def 							__a       (					__A ,       __A=3 ,       __A=0.85	):
    SCREAMING_SNAKE_CASE__					     =						{}
    for node in nodes:
        SCREAMING_SNAKE_CASE__					     =						1

    SCREAMING_SNAKE_CASE__					     =						{}
    for node in nodes:
        SCREAMING_SNAKE_CASE__					     =						len(node.outbound	)

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





def 							__a       (					):
    SCREAMING_SNAKE_CASE__					     =						list(input("Enter Names of the Nodes: "	).split()	)

    SCREAMING_SNAKE_CASE__					     =						[Node(__A	) for name in names]

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

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

    page_rank(__A	)


if __name__ == "__main__":
  main()





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_splinter import SplinterTokenizer


A__        =			logging.get_logger(__name__)

A__        =			{"vocab_file": "vocab.txt"}

A__        =			{
    "vocab_file": {
        "tau/splinter-base": "https://huggingface.co/tau/splinter-base/resolve/main/vocab.txt",
        "tau/splinter-base-qass": "https://huggingface.co/tau/splinter-base-qass/resolve/main/vocab.txt",
        "tau/splinter-large": "https://huggingface.co/tau/splinter-large/resolve/main/vocab.txt",
        "tau/splinter-large-qass": "https://huggingface.co/tau/splinter-large-qass/resolve/main/vocab.txt",
    }
}

A__        =			{
    "tau/splinter-base": 512,
    "tau/splinter-base-qass": 512,
    "tau/splinter-large": 512,
    "tau/splinter-large-qass": 512,
}

A__        =			{
    "tau/splinter-base": {"do_lower_case": False},
    "tau/splinter-base-qass": {"do_lower_case": False},
    "tau/splinter-large": {"do_lower_case": False},
    "tau/splinter-large-qass": {"do_lower_case": False},
}







class    UpperCamelCase_			(  _snake_case			):


  """simple docstring"""
  SCREAMING_SNAKE_CASE__				: Dict										=      VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__				: Optional[int]										=      PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__				: List[Any]										=      PRETRAINED_INIT_CONFIGURATION
  SCREAMING_SNAKE_CASE__				: str										=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__				: Optional[Any]										=      SplinterTokenizer



  def __init__(	self    :				Tuple     ,  A_    :				Optional[Any]=None     ,  A_    :				Optional[int]=None     ,  A_    :				Optional[Any]=True     ,  A_    :				str="[UNK]"     ,  A_    :				Optional[Any]="[SEP]"     ,  A_    :				str="[PAD]"     ,  A_    :				List[Any]="[CLS]"     ,  A_    :				Union[str, Any]="[MASK]"     ,  A_    :				Any="[QUESTION]"     ,  A_    :				List[Any]=True     ,  A_    :				Union[str, Any]=None     ,  **A_    :				Optional[Any]     ,  )					-> Optional[Any]:
      super().__init__(
          A_     ,  tokenizer_file=A_     ,  do_lower_case=A_     ,  unk_token=A_     ,  sep_token=A_     ,  pad_token=A_     ,  cls_token=A_     ,  mask_token=A_     ,  tokenize_chinese_chars=A_     ,  strip_accents=A_     ,  additional_special_tokens=(question_token,)     ,  **A_     ,  )

      SCREAMING_SNAKE_CASE__					     =						json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
      if (
          pre_tok_state.get("lowercase"     ,  A_	) != do_lower_case
          or pre_tok_state.get("strip_accents"     ,  A_	) != strip_accents
      ):
          SCREAMING_SNAKE_CASE__					     =						getattr(A_     ,  pre_tok_state.pop("type"	)	)
          SCREAMING_SNAKE_CASE__					     =						do_lower_case
          SCREAMING_SNAKE_CASE__					     =						strip_accents
          SCREAMING_SNAKE_CASE__					     =						pre_tok_class(**A_	)

      SCREAMING_SNAKE_CASE__					     =						do_lower_case



  @property
  def      _UpperCamelCase    (	self    :				List[Any]	)					-> Optional[Any]:
      return self.convert_tokens_to_ids(self.question_token	)



  def      _UpperCamelCase    (	self    :				List[str]     ,  A_    :				List[int]     ,  A_    :				Optional[List[int]] = None	)					-> List[int]:
      if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]

      SCREAMING_SNAKE_CASE__					     =						[self.cls_token_id]
      SCREAMING_SNAKE_CASE__					     =						[self.sep_token_id]
      SCREAMING_SNAKE_CASE__					     =						[self.question_token_id] + [self.convert_tokens_to_ids("."	)]
      if self.padding_side == "right":
          # Input is question-then-context
          return cls + token_ids_a + question_suffix + sep + token_ids_a + sep
      else:
          # Input is context-then-question
          return cls + token_ids_a + sep + token_ids_a + question_suffix + sep



  def      _UpperCamelCase    (	self    :				Optional[int]     ,  A_    :				List[int]     ,  A_    :				Optional[List[int]] = None	)					-> List[int]:
      SCREAMING_SNAKE_CASE__					     =						[self.sep_token_id]
      SCREAMING_SNAKE_CASE__					     =						[self.cls_token_id]
      SCREAMING_SNAKE_CASE__					     =						[self.question_token_id] + [self.convert_tokens_to_ids("."	)]
      if token_ids_a is None:
          return len(cls + token_ids_a + sep	) * [0]

      if self.padding_side == "right":
          # Input is question-then-context
          return len(cls + token_ids_a + question_suffix + sep	) * [0] + len(token_ids_a + sep	) * [1]
      else:
          # Input is context-then-question
          return len(cls + token_ids_a + sep	) * [0] + len(token_ids_a + question_suffix + sep	) * [1]







  def      _UpperCamelCase    (	self    :				Optional[int]     ,  A_    :				str     ,  A_    :				Optional[str] = None	)					-> Tuple[str]:
      SCREAMING_SNAKE_CASE__					     =						self._tokenizer.model.save(A_     ,  name=A_	)
      return tuple(A_	)


