



'''simple docstring'''


import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_reformer import ReformerTokenizer
else:
  lowercase											=      None


lowercase											=      logging.get_logger(__name__)


lowercase											=      '''▁'''

lowercase											=      {'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowercase											=      {
    '''vocab_file''': {
        '''google/reformer-crime-and-punishment''': (
            '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'''
        )
    },
    '''tokenizer_file''': {
        '''google/reformer-crime-and-punishment''': (
            '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'''
        )
    },
}

lowercase											=      {
    '''google/reformer-crime-and-punishment''': 524_288,
}







class 						UpperCAmelCase						(		__a):


 '''simple docstring'''




 __magic_name__       :			Optional[int]	=   VOCAB_FILES_NAMES
 __magic_name__       :			List[Any]	=   PRETRAINED_VOCAB_FILES_MAP
 __magic_name__       :			Tuple	=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __magic_name__       :			List[str]	=   ["input_ids", "attention_mask"]
 __magic_name__       :			Any	=   ReformerTokenizer




 def __init__( self				,	lowerCAmelCase_=None				,	lowerCAmelCase_=None				,	lowerCAmelCase_="</s>"				,	lowerCAmelCase_="<unk>"				,	lowerCAmelCase_=[]				,	**lowerCAmelCase_				,	)			->   Optional[Any]:



      """simple docstring"""







      super().__init__(
          lowerCAmelCase_				,	tokenizer_file=lowerCAmelCase_				,	eos_token=lowerCAmelCase_				,	unk_token=lowerCAmelCase_				,	additional_special_tokens=lowerCAmelCase_				,	**lowerCAmelCase_				,	)

      a_									=vocab_file
      a_									=False if not self.vocab_file else True




 def    lowercase_	( self				,	lowerCAmelCase_				,	lowerCAmelCase_ = None)			->   Any:



      """simple docstring"""







      if not self.can_save_slow_tokenizer:
           raise ValueError(
               "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
               "tokenizer.")

      if not os.path.isdir(lowerCAmelCase_):
           logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
           return
      a_									=os.path.join(
          lowerCAmelCase_				,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])

      if os.path.abspath(self.vocab_file) != os.path.abspath(lowerCAmelCase_):
           copyfile(self.vocab_file				,	lowerCAmelCase_)

      return (out_vocab_file,)




lowerCamelCase__        =						[[0, 1, 1], [0, 0, 1], [1, 0, 0]]







class 	A__				:






				def __init__(		self   : Optional[int]       ,	a   : int  ):






							'''simple docstring'''







							lowerCAmelCase__ : List[str]   =						name
							lowerCAmelCase__ : List[Any]   =						[]
							lowerCAmelCase__ : int   =						[]






				def 				_lowerCamelCase						(		self   : List[str]       ,	a   : Union[str, Any]  ):






							'''simple docstring'''







							self.inbound.append(a  )






				def 				_lowerCamelCase						(		self   : Dict       ,	a   : Union[str, Any]  ):






							'''simple docstring'''







							self.outbound.append(a  )






				def __repr__(		self   : Tuple  ):






							'''simple docstring'''







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






def 					lowerCAmelCase__     (    SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_=3			,				SCREAMING_SNAKE_CASE_=0.85	)							->						Optional[Any]:
			lowerCAmelCase__ : Tuple   =						{}
			for node in nodes:
						lowerCAmelCase__ : Union[str, Any]   =						1

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

			for i in range(SCREAMING_SNAKE_CASE_	):
						print(F'''======= Iteration {i + 1} ======='''	)
						for _, node in enumerate(SCREAMING_SNAKE_CASE_	):
									lowerCAmelCase__ : Optional[int]   =						(1 - d) + d * sum(
									    ranks[ib] / outbounds[ib] for ib in node.inbound	)
						print(SCREAMING_SNAKE_CASE_	)
def 					lowerCAmelCase__     (    )							->						Dict:
			lowerCAmelCase__ : List[Any]   =						list(input('Enter Names of the Nodes: '	).split()	)

			lowerCAmelCase__ : Union[str, Any]   =						[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()