code: 
  
  
  
  """simple docstring"""
  import json
  import os
  from functools import lru_cache
  from typing import List, Optional, Tuple
  
  import regex as re
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  _lowerCAmelCase					:List[str]  =      logging.get_logger(__name__)
  
  
  _lowerCAmelCase					:str  =      {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}
  
  # See all MVP models at https://huggingface.co/models?filter=mvp
  _lowerCAmelCase					:str  =      {
      'vocab_file': {
          'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json',
      },
      'added_tokens.json': {
          'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json',
      },
      'merges_file': {
          'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt',
      },
  }
  
  _lowerCAmelCase					:List[Any]  =      {
      'RUCAIBox/mvp': 1_024,
  }
  
  
  
  
  
  @lru_cache()
  def 				lowerCamelCase_		():
  				_UpperCAmelCase							:						List[str]       							=					(
  				    list(range(ord('''!'''							)  , ord('''~'''							) + 1							)							) + list(range(ord('''¡'''							)  , ord('''¬'''							) + 1							)							) + list(range(ord('''®'''							)  , ord('''ÿ'''							) + 1							)							)
  				)
  				_UpperCAmelCase							:						List[str]       							=					bs[:]
  				_UpperCAmelCase							:						Union[str, Any]       							=					0
  				for b in range(2**8							):
  								if b not in bs:
  												bs.append(UpperCamelCase__							)
  												cs.append(2**8 + n							)
  												n += 1
  				_UpperCAmelCase							:						Dict       							=					[chr(UpperCamelCase__							) for n in cs]
  				return dict(zip(UpperCamelCase__  , UpperCamelCase__							)							)
  
  
  
  
  
  def 				lowerCamelCase_		(UpperCamelCase__	:	List[str]							):
  				_UpperCAmelCase							:						int       							=					set()
  				_UpperCAmelCase							:						Optional[int]       							=					word[0]
  				for char in word[1:]:
  								pairs.add((prev_char, char)							)
  								_UpperCAmelCase							:						Union[str, Any]       							=					char
  				return pairs
  
  
  class 							_UpperCAmelCase							(				a   ):
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  					a__             =VOCAB_FILES_NAMES
  					a__             =PRETRAINED_VOCAB_FILES_MAP
  					a__             =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  					a__             =['''input_ids''', '''attention_mask''']
  
  
  
  
  
  					def __init__(      self ,			A ,			A ,			A="replace" ,			A="<s>" ,			A="</s>" ,			A="</s>" ,			A="<s>" ,			A="<unk>" ,			A="<pad>" ,			A="<mask>" ,			A=False ,			**A ,			)							->      Dict:
  									_UpperCAmelCase							:						Any       							=					AddedToken(A ,			lstrip=A ,			rstrip=A	) if isinstance(A ,			A	) else bos_token
  									_UpperCAmelCase							:						str       							=					AddedToken(A ,			lstrip=A ,			rstrip=A	) if isinstance(A ,			A	) else eos_token
  									_UpperCAmelCase							:						str       							=					AddedToken(A ,			lstrip=A ,			rstrip=A	) if isinstance(A ,			A	) else sep_token
  									_UpperCAmelCase							:						Optional[int]       							=					AddedToken(A ,			lstrip=A ,			rstrip=A	) if isinstance(A ,			A	) else cls_token
  									_UpperCAmelCase							:						Optional[int]       							=					AddedToken(A ,			lstrip=A ,			rstrip=A	) if isinstance(A ,			A	) else unk_token
  									_UpperCAmelCase							:						Optional[int]       							=					AddedToken(A ,			lstrip=A ,			rstrip=A	) if isinstance(A ,			A	) else pad_token
  
  									# Mask token behave like a normal word, i.e. include the space before it
  									_UpperCAmelCase							:						Optional[int]       							=					AddedToken(A ,			lstrip=A ,			rstrip=A	) if isinstance(A ,			A	) else mask_token
  
  									super().__init__(
  									    errors=A ,			bos_token=A ,			eos_token=A ,			unk_token=A ,			sep_token=A ,			cls_token=A ,			pad_token=A ,			mask_token=A ,			add_prefix_space=A ,			**A ,			)
  									with open(A ,			encoding='''utf-8'''	) as vocab_handle:
  													_UpperCAmelCase							:						int       							=					json.load(A	)
  									_UpperCAmelCase							:						Dict       							=					{v: k for k, v in self.encoder.items()}
  									_UpperCAmelCase							:						List[str]       							=					errors  # how to handle errors in decoding
  									_UpperCAmelCase							:						Any       							=					bytes_to_unicode()
  									_UpperCAmelCase							:						List[Any]       							=					{v: k for k, v in self.byte_encoder.items()}
  									with open(A ,			encoding='''utf-8'''	) as merges_handle:
  													_UpperCAmelCase							:						Tuple       							=					merges_handle.read().split('''\n'''	)[1:-1]
  									_UpperCAmelCase							:						List[str]       							=					[tuple(merge.split()	) for merge in bpe_merges]
  									_UpperCAmelCase							:						Optional[Any]       							=					dict(zip(A ,			range(len(A	)	)	)	)
  									_UpperCAmelCase							:						Tuple       							=					{}
  									_UpperCAmelCase							:						List[str]       							=					add_prefix_space
  
  									# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
  									_UpperCAmelCase							:						Dict       							=					re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''	)
  
  
  
  
  
  					@property
  					def 				__lowerCAmelCase			(      self	)							->      str:
  									return len(self.encoder	)
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self	)							->      int:
  									return dict(self.encoder ,			**self.added_tokens_encoder	)
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self ,			A	)							->      List[str]:
  									if token in self.cache:
  													return self.cache[token]
  									_UpperCAmelCase							:						Optional[Any]       							=					tuple(A	)
  									_UpperCAmelCase							:						Optional[int]       							=					get_pairs(A	)
  
  									if not pairs:
  													return token
  
  									while True:
  													_UpperCAmelCase							:						Dict       							=					min(A ,			key=lambda A	: self.bpe_ranks.get(A ,			float('''inf'''	)	)	)
  													if bigram not in self.bpe_ranks:
  																	break
  													_UpperCAmelCase							:						Any       							=					bigram
  													_UpperCAmelCase							:						Tuple       							=					[]
  													_UpperCAmelCase							:						Optional[Any]       							=					0
  													while i < len(A	):
  																	try:
  																					_UpperCAmelCase							:						int       							=					word.index(A ,			A	)
  																	except ValueError:
  																					new_word.extend(word[i:]	)
  																					break
  																	else:
  																					new_word.extend(word[i:j]	)
  																					_UpperCAmelCase							:						Union[str, Any]       							=					j
  
  																	if word[i] == first and i < len(A	) - 1 and word[i + 1] == second:
  																					new_word.append(first + second	)
  																					i += 2
  																	else:
  																					new_word.append(word[i]	)
  																					i += 1
  													_UpperCAmelCase							:						Tuple       							=					tuple(A	)
  													_UpperCAmelCase							:						Dict       							=					new_word
  													if len(A	) == 1:
  																	break
  													else:
  																	_UpperCAmelCase							:						Any       							=					get_pairs(A	)
  									_UpperCAmelCase							:						List[Any]       							=					''' '''.join(A	)
  									_UpperCAmelCase							:						Optional[Any]       							=					word
  									return word
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self ,			A	)							->      List[Any]:
  									_UpperCAmelCase							:						List[str]       							=					[]
  									for token in re.findall(self.pat ,			A	):
  													_UpperCAmelCase							:						int       							=					''''''.join(
  													    self.byte_encoder[b] for b in token.encode('''utf-8'''	)	)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
  													bpe_tokens.extend(bpe_token for bpe_token in self.bpe(A	).split(''' '''	)	)
  									return bpe_tokens
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self ,			A	)							->      Union[str, Any]:
  									return self.encoder.get(A ,			self.encoder.get(self.unk_token	)	)
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self ,			A	)							->      Tuple:
  									return self.decoder.get(A	)
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self ,			A	)							->      str:
  									_UpperCAmelCase							:						Optional[int]       							=					''''''.join(A	)
  									_UpperCAmelCase							:						Union[str, Any]       							=					bytearray([self.byte_decoder[c] for c in text]	).decode('''utf-8''' ,			errors=self.errors	)
  									return text
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      Tuple[str]:
  									if not os.path.isdir(A	):
  													logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
  													return
  									_UpperCAmelCase							:						List[str]       							=					os.path.join(
  									    A ,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)
  									_UpperCAmelCase							:						Any       							=					os.path.join(
  									    A ,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']	)
  
  									with open(A ,			'''w''' ,			encoding='''utf-8'''	) as f:
  													f.write(json.dumps(self.encoder ,			indent=2 ,			sort_keys=A ,			ensure_ascii=A	) + '''\n'''	)
  
  									_UpperCAmelCase							:						Optional[Any]       							=					0
  									with open(A ,			'''w''' ,			encoding='''utf-8'''	) as writer:
  													writer.write('''#version: 0.2\n'''	)
  													for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,			key=lambda A	: 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							:						List[Any]       							=					token_index
  																	writer.write(''' '''.join(A	) + '''\n'''	)
  																	index += 1
  
  									return vocab_file, merge_file
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      List[int]:
  									if token_ids_a is None:
  													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  									_UpperCAmelCase							:						Optional[int]       							=					[self.cls_token_id]
  									_UpperCAmelCase							:						Dict       							=					[self.sep_token_id]
  									return cls + token_ids_a + sep + sep + token_ids_a + sep
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self ,			A ,			A = None ,			A = False	)							->      List[int]:
  									if already_has_special_tokens:
  													return super().get_special_tokens_mask(
  													    token_ids_a=A ,			token_ids_a=A ,			already_has_special_tokens=A	)
  
  									if token_ids_a is None:
  													return [1] + ([0] * len(A	)) + [1]
  									return [1] + ([0] * len(A	)) + [1, 1] + ([0] * len(A	)) + [1]
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      List[int]:
  									_UpperCAmelCase							:						str       							=					[self.sep_token_id]
  									_UpperCAmelCase							:						Union[str, Any]       							=					[self.cls_token_id]
  
  									if token_ids_a is None:
  													return len(cls + token_ids_a + sep	) * [0]
  									return len(cls + token_ids_a + sep + sep + token_ids_a + sep	) * [0]
  
  
  
  
  
  					def 				__lowerCAmelCase			(      self ,			A ,			A=False ,			**A	)							->      Dict:
  									_UpperCAmelCase							:						str       							=					kwargs.pop('''add_prefix_space''' ,			self.add_prefix_space	)
  									if (is_split_into_words or add_prefix_space) and (len(A	) > 0 and not text[0].isspace()):
  													_UpperCAmelCase							:						Tuple       							=					''' ''' + text
  									return (text, kwargs)
  
  
  
style_context: 
  
  
  
  """simple docstring"""
  import json
  from typing import List, Optional, Tuple
  
  from tokenizers import normalizers
  
  from ...tokenization_utils import AddedToken
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_mpnet import MPNetTokenizer
  
  
  _lowerCAmelCase					:Dict  =      logging.get_logger(__name__)
  
  _lowerCAmelCase					:Tuple  =      {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}
  
  _lowerCAmelCase					:Any  =      {
      'vocab_file': {
          'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
      },
      'tokenizer_file': {
          'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
      },
  }
  
  _lowerCAmelCase					:str  =      {
      'microsoft/mpnet-base': 512,
  }
  
  _lowerCAmelCase					:Union[str, Any]  =      {
      'microsoft/mpnet-base': {'do_lower_case': True},
  }
  class 							_UpperCAmelCase							(				a   ):
  
  
  
  
  
       '''simple docstring'''
  
  
  
       a__             =VOCAB_FILES_NAMES
       a__             =PRETRAINED_VOCAB_FILES_MAP
       a__             =PRETRAINED_INIT_CONFIGURATION
       a__             =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       a__             =MPNetTokenizer
       a__             =['''input_ids''', '''attention_mask''']
  
  
  
  
  
       def __init__(      self ,			A=None ,			A=None ,			A=True ,			A="<s>" ,			A="</s>" ,			A="</s>" ,			A="<s>" ,			A="[UNK]" ,			A="<pad>" ,			A="<mask>" ,			A=True ,			A=None ,			**A ,			)							->      Dict:
           super().__init__(
               A ,			tokenizer_file=A ,			do_lower_case=A ,			bos_token=A ,			eos_token=A ,			sep_token=A ,			cls_token=A ,			unk_token=A ,			pad_token=A ,			mask_token=A ,			tokenize_chinese_chars=A ,			strip_accents=A ,			**A ,			)
  
           _UpperCAmelCase							:						List[str]       							=					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
           ):
               _UpperCAmelCase							:						Optional[int]       							=					getattr(A ,			pre_tok_state.pop('''type'''	)	)
               _UpperCAmelCase							:						List[Any]       							=					do_lower_case
               _UpperCAmelCase							:						List[Any]       							=					strip_accents
               _UpperCAmelCase							:						Tuple       							=					pre_tok_class(**A	)
  
           _UpperCAmelCase							:						Union[str, Any]       							=					do_lower_case
  
  
  
  
  
       @property
       def 				__lowerCAmelCase			(      self	)							->      str:
           if self._mask_token is None:
               if self.verbose:
                   logger.error('''Using mask_token, but it is not set yet.'''	)
               return None
           return str(self._mask_token	)
  
  
  
  
  
       @mask_token.setter
       def 				__lowerCAmelCase			(      self ,			A	)							->      str:
           _UpperCAmelCase							:						Optional[int]       							=					AddedToken(A ,			lstrip=A ,			rstrip=A	) if isinstance(A ,			A	) else value
           _UpperCAmelCase							:						List[Any]       							=					value
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A=None	)							->      str:
           _UpperCAmelCase							:						List[str]       							=					[self.bos_token_id] + token_ids_a + [self.eos_token_id]
           if token_ids_a is None:
               return output
  
           return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      List[int]:
           _UpperCAmelCase							:						int       							=					[self.sep_token_id]
           _UpperCAmelCase							:						int       							=					[self.cls_token_id]
  
           if token_ids_a is None:
               return len(cls + token_ids_a + sep	) * [0]
           return len(cls + token_ids_a + sep + sep + token_ids_a + sep	) * [0]
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      Tuple[str]:
           _UpperCAmelCase							:						str       							=					self._tokenizer.model.save(A ,			name=A	)
           return tuple(A	)
  
  
  