



'''simple docstring'''






import json
import os
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__:       Optional[int]							     =      logging.get_logger(__name__)

UpperCamelCase__:       Dict							     =      {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

UpperCamelCase__:       Union[str, Any]							     =      {
    "vocab_file": {
        "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json",
    },
    "merges_file": {"microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"},
}

UpperCamelCase__:       List[Any]							     =      {
    "microsoft/biogpt": 1024,
}


def 			snake_case_					( _lowerCAmelCase  :						Union[str, Any]  )				->       Tuple:
							UpperCAmelCase			:	Optional[Any]										=		set()
							UpperCAmelCase			:	int										=		word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)  )
														UpperCAmelCase			:	Union[str, Any]										=		char
							return pairs




class     SCREAMING_SNAKE_CASE(							A__      ):







	"""simple docstring"""






	lowerCamelCase__      			=	VOCAB_FILES_NAMES
	lowerCamelCase__      			=	PRETRAINED_VOCAB_FILES_MAP
	lowerCamelCase__      			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCamelCase__      			=	["""input_ids""", """attention_mask"""]







	def __init__(						self      :					List[str]		,      __snake_case      :					Optional[Any]		,      __snake_case      :					int		,      __snake_case      :					Union[str, Any]="<unk>"		,      __snake_case      :					Dict="<s>"		,      __snake_case      :					Optional[Any]="</s>"		,      __snake_case      :					Optional[int]="</s>"		,      __snake_case      :					List[Any]="<pad>"		,      **__snake_case      :					str		,      )      ->		List[Any]:
								super().__init__(
								    bos_token=__snake_case		,      eos_token=__snake_case		,      sep_token=__snake_case		,      unk_token=__snake_case		,      pad_token=__snake_case		,      **__snake_case		,      )

								try:
															import sacremoses
								except ImportError:
															raise ImportError(
															    '''You need to install sacremoses to use BioGptTokenizer. '''
															    '''See https://pypi.org/project/sacremoses/ for installation.'''		)

								UpperCAmelCase			:	int										=		'''en'''
								UpperCAmelCase			:	str										=		sacremoses
								# cache of sm.MosesTokenizer instance
								UpperCAmelCase			:	List[Any]										=		{}
								UpperCAmelCase			:	Any										=		{}
								with open(__snake_case		,      encoding='''utf-8'''		) as vocab_handle:
															UpperCAmelCase			:	Optional[int]										=		json.load(__snake_case		)
								UpperCAmelCase			:	Union[str, Any]										=		{v: k for k, v in self.encoder.items()}
								with open(__snake_case		,      encoding='''utf-8'''		) as merges_handle:
															UpperCAmelCase			:	List[str]										=		merges_handle.read().split('''\n'''		)[:-1]
								UpperCAmelCase			:	Optional[int]										=		[tuple(merge.split()[:2]		) for merge in merges]
								UpperCAmelCase			:	Tuple										=		dict(zip(__snake_case		,      range(len(__snake_case		)		)		)		)
								UpperCAmelCase			:	Any										=		{}







	@property
	def 					A     (						self      :					Dict		)      ->		Optional[Any]:
								return len(self.encoder		)







	def 					A     (						self      :					Optional[int]		)      ->		List[Any]:
								return dict(self.encoder		,      **self.added_tokens_encoder		)







	def 					A     (						self      :					Optional[Any]		,      __snake_case      :					List[Any]		,      __snake_case      :					str		)      ->		str:
								if lang not in self.cache_moses_tokenizer:
															UpperCAmelCase			:	int										=		self.sm.MosesTokenizer(lang=__snake_case		)
															UpperCAmelCase			:	Optional[Any]										=		moses_tokenizer
								return self.cache_moses_tokenizer[lang].tokenize(
								    __snake_case		,      aggressive_dash_splits=__snake_case		,      return_str=__snake_case		,      escape=__snake_case		)







	def 					A     (						self      :					Dict		,      __snake_case      :					int		,      __snake_case      :					List[str]		)      ->		Tuple:
								if lang not in self.cache_moses_detokenizer:
															UpperCAmelCase			:	Dict										=		self.sm.MosesDetokenizer(lang=__snake_case		)
															UpperCAmelCase			:	Tuple										=		moses_detokenizer
								return self.cache_moses_detokenizer[lang].detokenize(__snake_case		)







	def 					A     (						self      :					Tuple		,      __snake_case      :					Optional[Any]		)      ->		Tuple:
								UpperCAmelCase			:	Dict										=		tuple(token[:-1]		) + (token[-1] + '''</w>''',)
								if token in self.cache:
															return self.cache[token]
								UpperCAmelCase			:	Union[str, Any]										=		get_pairs(__snake_case		)

								if not pairs:
															return token + "</w>"

								while True:
															UpperCAmelCase			:	Dict										=		min(__snake_case		,      key=lambda __snake_case		: self.bpe_ranks.get(__snake_case		,      float('''inf'''		)		)		)
															if bigram not in self.bpe_ranks:
																						break
															UpperCAmelCase							,		UpperCAmelCase			:	Optional[Any]										=		bigram
															UpperCAmelCase			:	Tuple										=		[]
															UpperCAmelCase			:	str										=		0
															while i < len(__snake_case		):
																						try:
																													UpperCAmelCase			:	str										=		word.index(__snake_case		,      __snake_case		)
																						except ValueError:
																													new_word.extend(word[i:]		)
																													break
																						else:
																													new_word.extend(word[i:j]		)
																													UpperCAmelCase			:	Optional[Any]										=		j

																						if word[i] == first and i < len(__snake_case		) - 1 and word[i + 1] == second:
																													new_word.append(first + second		)
																													i += 2
																						else:
																													new_word.append(word[i]		)
																													i += 1
															UpperCAmelCase			:	Dict										=		tuple(__snake_case		)
															UpperCAmelCase			:	str										=		new_word
															if len(__snake_case		) == 1:
																						break
															else:
																						UpperCAmelCase			:	Dict										=		get_pairs(__snake_case		)
								UpperCAmelCase			:	Union[str, Any]										=		''' '''.join(__snake_case		)
								if word == "\n  </w>":
															UpperCAmelCase			:	int										=		'''\n</w>'''
								UpperCAmelCase			:	Any										=		word
								return word







	def 					A     (						self      :					Dict		,      __snake_case      :					Dict		,      __snake_case      :					Union[str, Any]=False		)      ->		List[str]:
								if bypass_tokenizer:
															UpperCAmelCase			:	str										=		text.split()
								else:
															UpperCAmelCase			:	List[Any]										=		self.moses_tokenize(__snake_case		,      self.lang		)

								UpperCAmelCase			:	List[Any]										=		[]
								for token in text:
															if token:
																						split_tokens.extend(list(self.bpe(__snake_case		).split(''' '''		)		)		)

								return split_tokens







	def 					A     (						self      :					str		,      __snake_case      :					Any		)      ->		str:
								return self.encoder.get(__snake_case		,      self.encoder.get(self.unk_token		)		)







	def 					A     (						self      :					Optional[int]		,      __snake_case      :					List[Any]		)      ->		Optional[int]:
								return self.decoder.get(__snake_case		,      self.unk_token		)







	def 					A     (						self      :					Tuple		,      __snake_case      :					Any		)      ->		List[str]:
								UpperCAmelCase			:	List[str]										=		[t.replace(''' '''		,      ''''''		).replace('''</w>'''		,      ''' '''		) for t in tokens]
								UpperCAmelCase			:	Optional[Any]										=		''''''.join(__snake_case		).split()
								# detokenize
								UpperCAmelCase			:	Tuple										=		self.moses_detokenize(__snake_case		,      self.lang		)
								return text







	def 					A     (						self      :					str		,      __snake_case      :					List[int]		,      __snake_case      :					Optional[List[int]] = None		)      ->		List[int]:
								if token_ids_a is None:
															return [self.sep_token_id] + token_ids_a
								UpperCAmelCase			:	Optional[int]										=		[self.sep_token_id]
								return sep + token_ids_a + sep + token_ids_a







	def 					A     (						self      :					Dict		,      __snake_case      :					List[int]		,      __snake_case      :					Optional[List[int]] = None		,      __snake_case      :					bool = False		)      ->		List[int]:
								if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=__snake_case		,      token_ids_a=__snake_case		,      already_has_special_tokens=__snake_case		)
								# no bos used in fairseq
								if token_ids_a is not None:
															return [1] + ([0] * len(__snake_case		)) + [1] + ([0] * len(__snake_case		))
								return [1] + ([0] * len(__snake_case		))







	def 					A     (						self      :					List[Any]		,      __snake_case      :					List[int]		,      __snake_case      :					Optional[List[int]] = None		)      ->		List[int]:
								UpperCAmelCase			:	List[Any]										=		[self.sep_token_id]

								# no bos used in fairseq
								if token_ids_a is None:
															return len(token_ids_a + sep		) * [0]
								return len(token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]







	def 					A     (						self      :					List[str]		,      __snake_case      :					str		,      __snake_case      :					Optional[str] = None		)      ->		Tuple[str]:
								if not os.path.isdir(__snake_case		):
															logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""		)
															return
								UpperCAmelCase			:	Tuple										=		os.path.join(
								    __snake_case		,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
								UpperCAmelCase			:	Any										=		os.path.join(
								    __snake_case		,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']		)

								with open(__snake_case		,      '''w'''		,      encoding='''utf-8'''		) as f:
															f.write(json.dumps(self.encoder		,      indent=2		,      sort_keys=__snake_case		,      ensure_ascii=__snake_case		) + '''\n'''		)

								UpperCAmelCase			:	List[Any]										=		0
								with open(__snake_case		,      '''w'''		,      encoding='''utf-8'''		) as writer:
															for bpe_tokens, token_index in sorted(self.bpe_ranks.items()		,      key=lambda __snake_case		: kv[1]		):
																						if index != token_index:
																													logger.warning(
																													    F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
																													    ''' Please check that the tokenizer is not corrupted!'''		)
																													UpperCAmelCase			:	int										=		token_index
																						writer.write(''' '''.join(__snake_case		) + '''\n'''		)
																						index += 1

								return vocab_file, merge_file







	def __getstate__(						self      :					Any		)      ->		Tuple:
								UpperCAmelCase			:	List[str]										=		self.__dict__.copy()
								UpperCAmelCase			:	Union[str, Any]										=		None
								return state







	def __setstate__(						self      :					Tuple		,      __snake_case      :					Union[str, Any]		)      ->		Tuple:
								UpperCAmelCase			:	Optional[Any]										=		d

								try:
															import sacremoses
								except ImportError:
															raise ImportError(
															    '''You need to install sacremoses to use XLMTokenizer. '''
															    '''See https://pypi.org/project/sacremoses/ for installation.'''		)

								UpperCAmelCase			:	Union[str, Any]										=		sacremoses










'''simple docstring'''






UpperCamelCase__:       Any							     =      [[0, 1, 1], [0, 0, 1], [1, 0, 0]]

class     SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	def __init__(						self      :					List[str]		,      __snake_case      :					int		)      ->		int:
								UpperCAmelCase			:	Any										=		name
								UpperCAmelCase			:	Optional[Any]										=		[]
								UpperCAmelCase			:	Any										=		[]







	def 					A     (						self      :					Dict		,      __snake_case      :					str		)      ->		Tuple:
								self.inbound.append(__snake_case		)







	def 					A     (						self      :					Union[str, Any]		,      __snake_case      :					str		)      ->		Optional[int]:
								self.outbound.append(__snake_case		)







	def __repr__(						self      :					Optional[int]		)      ->		Optional[int]:
								return F"""<node={self.name} inbound={self.inbound} outbound={self.outbound}>"""


def 			snake_case_					( _lowerCAmelCase  :						Tuple       ,				_lowerCAmelCase  :						Dict=3       ,				_lowerCAmelCase  :						Tuple=0.8_5  )				->       Optional[Any]:
							UpperCAmelCase			:	Tuple										=		{}
							for node in nodes:
														UpperCAmelCase			:	List[str]										=		1

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

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


def 			snake_case_					( )				->       List[str]:
							UpperCAmelCase			:	str										=		list(input('''Enter Names of the Nodes: '''  ).split()  )

							UpperCAmelCase			:	Dict										=		[Node(_lowerCAmelCase  ) for name in names]

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

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

							page_rank(_lowerCAmelCase  )


if __name__ == "__main__":
						main()





