




lowercase_		=							[[0, 1, 1], [0, 0, 1], [1, 0, 0]]





class 		A__				:






	def __init__(	self				,     lowerCamelCase						)      ->   List[str]:




						"""simple docstring"""






						__magic_name__					:							Union[str, Any]		   =							name
						__magic_name__					:							Optional[Any]		   =							[]
						__magic_name__					:							Dict		   =							[]






	def  lowercase      (	self				,     lowerCamelCase						)      ->   int:




						"""simple docstring"""






						self.inbound.append(lowerCamelCase						)






	def  lowercase      (	self				,     lowerCamelCase						)      ->   Tuple:




						"""simple docstring"""






						self.outbound.append(lowerCamelCase						)






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




						"""simple docstring"""






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







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase=3,	UpperCAmelCase=0.85       )  ->Union[str, Any]:






					"""simple docstring"""






					__magic_name__					:							Any		   =							{}
					for node in nodes:
										__magic_name__					:							int		   =							1

					__magic_name__					:							Optional[Any]		   =							{}
					for node in nodes:
										__magic_name__					:							Optional[int]		   =							len(node.outbound       )

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







def  lowerCAmelCase  (	)  ->Optional[int]:






					"""simple docstring"""






					__magic_name__					:							List[str]		   =							list(input('''Enter Names of the Nodes: '''       ).split()       )

					__magic_name__					:							Union[str, Any]		   =							[Node(UpperCAmelCase       ) for name in names]

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

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

					page_rank(UpperCAmelCase       )


if __name__ == "__main__":
				main()









import json
import os
import re
import warnings
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


lowercase_		=							logging.get_logger(__name__)

lowercase_		=							{
    '''source_spm''': '''source.spm''',
    '''target_spm''': '''target.spm''',
    '''vocab''': '''vocab.json''',
    '''target_vocab_file''': '''target_vocab.json''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

lowercase_		=							{
    '''source_spm''': {
        '''Helsinki-NLP/opus-mt-en-de''': '''https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/source.spm'''
    },
    '''target_spm''': {
        '''Helsinki-NLP/opus-mt-en-de''': '''https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/target.spm'''
    },
    '''vocab''': {
        '''Helsinki-NLP/opus-mt-en-de''': '''https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/vocab.json'''
    },
    '''tokenizer_config_file''': {
        '''Helsinki-NLP/opus-mt-en-de''': (
            '''https://huggingface.co/Helsinki-NLP/opus-mt-en-de/resolve/main/tokenizer_config.json'''
        )
    },
}

lowercase_		=							{'''Helsinki-NLP/opus-mt-en-de''': 512}
lowercase_		=							{}





class 		A__				(   __SCREAMING_SNAKE_CASE ):
	lowerCamelCase__		: int				    =VOCAB_FILES_NAMES
	lowerCamelCase__		: Any				    =PRETRAINED_VOCAB_FILES_MAP
	lowerCamelCase__		: Optional[Any]				    =PRETRAINED_INIT_CONFIGURATION
	lowerCamelCase__		: Any				    =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCamelCase__		: Optional[int]				    =["input_ids", "attention_mask"]
	lowerCamelCase__		: Tuple				    =re.compile(">>.+<<" )  # type: re.Pattern






	def __init__(	self				,     lowerCamelCase				,     lowerCamelCase				,     lowerCamelCase				,     lowerCamelCase=None				,     lowerCamelCase=None				,     lowerCamelCase=None				,     lowerCamelCase="<unk>"				,     lowerCamelCase="</s>"				,     lowerCamelCase="<pad>"				,     lowerCamelCase=512				,     lowerCamelCase = None				,     lowerCamelCase=False				,     **lowerCamelCase				,     )      ->   None:




						"""simple docstring"""






						__magic_name__					:							Tuple		   =							{} if sp_model_kwargs is None else sp_model_kwargs

						super().__init__(
						    # bos_token=bos_token,  unused. Start decoding with config.decoder_start_token_id
						    source_lang=lowerCamelCase				,     target_lang=lowerCamelCase				,     unk_token=lowerCamelCase				,     eos_token=lowerCamelCase				,     pad_token=lowerCamelCase				,     model_max_length=lowerCamelCase				,     sp_model_kwargs=self.sp_model_kwargs				,     target_vocab_file=lowerCamelCase				,     separate_vocabs=lowerCamelCase				,     **lowerCamelCase				,     )
						assert Path(lowerCamelCase						).exists(), F'''cannot find spm source {source_spm}'''

						__magic_name__					:							Optional[Any]		   =							separate_vocabs
						__magic_name__					:							int		   =							load_json(lowerCamelCase						)
						if self.unk_token not in self.encoder:
											raise KeyError('''<unk> token must be in vocab'''						)
						assert self.pad_token in self.encoder

						if separate_vocabs:
											__magic_name__					:							int		   =							load_json(lowerCamelCase						)
											__magic_name__					:							Tuple		   =							{v: k for k, v in self.target_encoder.items()}
											__magic_name__					:							Optional[Any]		   =							[]
						else:
											__magic_name__					:							Dict		   =							{v: k for k, v in self.encoder.items()}
											__magic_name__					:							list		   =							[k for k in self.encoder if k.startswith('''>>'''						) and k.endswith('''<<'''						)]

						__magic_name__					:							Optional[int]		   =							source_lang
						__magic_name__					:							List[Any]		   =							target_lang
						__magic_name__					:							Tuple		   =							[source_spm, target_spm]

						# load SentencePiece model for pre-processing
						__magic_name__					:							str		   =							load_spm(lowerCamelCase				,     self.sp_model_kwargs						)
						__magic_name__					:							int		   =							load_spm(lowerCamelCase				,     self.sp_model_kwargs						)
						__magic_name__					:							List[str]		   =							self.spm_source
						__magic_name__					:							int		   =							self.encoder

						# Multilingual target side: default to using first supported language code.

						self._setup_normalizer()






	def  lowercase      (	self						)      ->   Union[str, Any]:




						"""simple docstring"""






						try:
											from sacremoses import MosesPunctNormalizer

											__magic_name__					:							List[str]		   =							MosesPunctNormalizer(self.source_lang						).normalize
						except (ImportError, FileNotFoundError):
											warnings.warn('''Recommended: pip install sacremoses.'''						)
											__magic_name__					:							Dict		   =							lambda lowerCamelCase						: x






	def  lowercase      (	self				,     lowerCamelCase						)      ->   str:




						"""simple docstring"""






						return self.punc_normalizer(lowerCamelCase						) if x else ""






	def  lowercase      (	self				,     lowerCamelCase						)      ->   str:




						"""simple docstring"""






						return self.current_encoder.get(lowerCamelCase				,     self.current_encoder[self.unk_token]						)






	def  lowercase      (	self				,     lowerCamelCase						)      ->   List[str]:




						"""simple docstring"""






						__magic_name__					:							int		   =							self.language_code_re.match(lowerCamelCase						)
						__magic_name__					:							list		   =							[match.group(0						)] if match else []
						return code, self.language_code_re.sub(''''''				,     lowerCamelCase						)






	def  lowercase      (	self				,     lowerCamelCase						)      ->   List[str]:




						"""simple docstring"""






						__magic_name__   , __magic_name__					:							Tuple		   =							self.remove_language_code(lowerCamelCase						)
						__magic_name__					:							Any		   =							self.current_spm.encode(lowerCamelCase				,     out_type=lowerCamelCase						)
						return code + pieces






	def  lowercase      (	self				,     lowerCamelCase						)      ->   str:




						"""simple docstring"""






						return self.decoder.get(lowerCamelCase				,     self.unk_token						)






	def  lowercase      (	self				,     lowerCamelCase				,     **lowerCamelCase						)      ->   Dict:




						"""simple docstring"""






						return super().batch_decode(lowerCamelCase				,     **lowerCamelCase						)






	def  lowercase      (	self				,     lowerCamelCase				,     **lowerCamelCase						)      ->   Any:




						"""simple docstring"""






						return super().decode(lowerCamelCase				,     **lowerCamelCase						)






	def  lowercase      (	self				,     lowerCamelCase						)      ->   str:




						"""simple docstring"""






						__magic_name__					:							int		   =							self.spm_source if self._decode_use_source_tokenizer else self.spm_target
						__magic_name__					:							List[str]		   =							[]
						__magic_name__					:							str		   =							''''''
						for token in tokens:
											# make sure that special tokens are not decoded using sentencepiece model
											if token in self.all_special_tokens:
																out_string += sp_model.decode_pieces(lowerCamelCase						) + token + " "
																__magic_name__					:							Dict		   =							[]
											else:
																current_sub_tokens.append(lowerCamelCase						)
						out_string += sp_model.decode_pieces(lowerCamelCase						)
						return out_string.strip()






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase=None						)      ->   List[int]:




						"""simple docstring"""






						if token_ids_a is None:
											return token_ids_a + [self.eos_token_id]
						# We don't expect to process pairs, but leave the pair logic for API consistency
						return token_ids_a + token_ids_a + [self.eos_token_id]






	def  lowercase      (	self						)      ->   List[Any]:




						"""simple docstring"""






						__magic_name__					:							List[Any]		   =							self.spm_source
						__magic_name__					:							Tuple		   =							self.encoder






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




						"""simple docstring"""






						__magic_name__					:							int		   =							self.spm_target
						if self.separate_vocabs:
											__magic_name__					:							List[str]		   =							self.target_encoder






	@property
	def  lowercase      (	self						)      ->   int:




						"""simple docstring"""






						return len(self.encoder						)






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase = None						)      ->   Tuple[str]:




						"""simple docstring"""






						if not os.path.isdir(lowerCamelCase						):
											logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''						)
											return
						__magic_name__					:							Any		   =							[]

						if self.separate_vocabs:
											__magic_name__					:							Optional[Any]		   =							os.path.join(
											    lowerCamelCase				,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab''']				,     )
											__magic_name__					:							Dict		   =							os.path.join(
											    lowerCamelCase				,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''target_vocab_file''']				,     )
											save_json(self.encoder				,     lowerCamelCase						)
											save_json(self.target_encoder				,     lowerCamelCase						)
											saved_files.append(lowerCamelCase						)
											saved_files.append(lowerCamelCase						)
						else:
											__magic_name__					:							List[str]		   =							os.path.join(
											    lowerCamelCase				,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab''']						)
											save_json(self.encoder				,     lowerCamelCase						)
											saved_files.append(lowerCamelCase						)

						for spm_save_filename, spm_orig_path, spm_model in zip(
						    [VOCAB_FILES_NAMES['''source_spm'''], VOCAB_FILES_NAMES['''target_spm''']]				,     self.spm_files				,     [self.spm_source, self.spm_target]				,     ):
											__magic_name__					:							List[Any]		   =							os.path.join(
											    lowerCamelCase				,     (filename_prefix + '''-''' if filename_prefix else '''''') + spm_save_filename						)
											if os.path.abspath(lowerCamelCase						) != os.path.abspath(lowerCamelCase						) and os.path.isfile(lowerCamelCase						):
																copyfile(lowerCamelCase				,     lowerCamelCase						)
																saved_files.append(lowerCamelCase						)
											elif not os.path.isfile(lowerCamelCase						):
																with open(lowerCamelCase				,     '''wb'''						) as fi:
																					__magic_name__					:							int		   =							spm_model.serialized_model_proto()
																					fi.write(lowerCamelCase						)
																saved_files.append(lowerCamelCase						)

						return tuple(lowerCamelCase						)






	def  lowercase      (	self						)      ->   Dict:




						"""simple docstring"""






						return self.get_src_vocab()






	def  lowercase      (	self						)      ->   Dict:




						"""simple docstring"""






						return dict(self.encoder				,     **self.added_tokens_encoder						)






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




						"""simple docstring"""






						return dict(self.target_encoder				,     **self.added_tokens_decoder						)






	def __getstate__(	self						)      ->   Dict:




						"""simple docstring"""






						__magic_name__					:							Union[str, Any]		   =							self.__dict__.copy()
						state.update(
						    {k: None for k in ['''spm_source''', '''spm_target''', '''current_spm''', '''punc_normalizer''', '''target_vocab_file''']}						)
						return state






	def __setstate__(	self				,     lowerCamelCase						)      ->   None:




						"""simple docstring"""






						__magic_name__					:							List[str]		   =							d

						# for backward compatibility
						if not hasattr(self				,     '''sp_model_kwargs'''						):
											__magic_name__					:							Dict		   =							{}

						__magic_name__   , __magic_name__					:							Optional[int]		   =							(load_spm(lowerCamelCase				,     self.sp_model_kwargs						) for f in self.spm_files)
						__magic_name__					:							str		   =							self.spm_source
						self._setup_normalizer()






	def  lowercase      (	self				,     *lowerCamelCase				,     **lowerCamelCase						)      ->   Optional[Any]:




						"""simple docstring"""






						return 1






	def  lowercase      (	self				,     lowerCamelCase						)      ->   int:




						"""simple docstring"""






						__magic_name__					:							Optional[int]		   =							set(self.all_special_ids						)  # call it once instead of inside list comp
						all_special_ids.remove(self.unk_token_id						)  # <unk> is only sometimes special
						return [1 if x in all_special_ids else 0 for x in seq]






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase = None				,     lowerCamelCase = False						)      ->   List[int]:




						"""simple docstring"""






						if already_has_special_tokens:
											return self._special_token_mask(lowerCamelCase						)
						elif token_ids_a is None:
											return self._special_token_mask(lowerCamelCase						) + [1]
						else:
											return self._special_token_mask(token_ids_a + token_ids_a						) + [1]







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase       )  ->sentencepiece.SentencePieceProcessor:






					"""simple docstring"""






					__magic_name__					:							int		   =							sentencepiece.SentencePieceProcessor(**UpperCAmelCase       )
					spm.Load(UpperCAmelCase       )
					return spm







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase       )  ->None:






					"""simple docstring"""






					with open(UpperCAmelCase,	'''w'''       ) as f:
										json.dump(UpperCAmelCase,	UpperCAmelCase,	indent=2       )







def  lowerCAmelCase  (	UpperCAmelCase       )  ->Union[Dict, List]:






					"""simple docstring"""






					with open(UpperCAmelCase,	'''r'''       ) as f:
										return json.load(UpperCAmelCase       )



