code: 
  
  
  
  """simple docstring"""
  import json
  from typing import List, Optional, Tuple
  
  from tokenizers import pre_tokenizers, processors
  
  from ...tokenization_utils_base import AddedToken, BatchEncoding
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_longformer import LongformerTokenizer
  
  
  _lowerCAmelCase					:Dict  =      logging.get_logger(__name__)
  
  _lowerCAmelCase					:Union[str, Any]  =      {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}
  
  _lowerCAmelCase					:Union[str, Any]  =      {
      'vocab_file': {
          'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json',
          'allenai/longformer-large-4096': (
              'https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'
          ),
          'allenai/longformer-large-4096-finetuned-triviaqa': (
              'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'
          ),
          'allenai/longformer-base-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'
          ),
          'allenai/longformer-large-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'
          ),
      },
      'merges_file': {
          'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt',
          'allenai/longformer-large-4096': (
              'https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'
          ),
          'allenai/longformer-large-4096-finetuned-triviaqa': (
              'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'
          ),
          'allenai/longformer-base-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'
          ),
          'allenai/longformer-large-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'
          ),
      },
      'tokenizer_file': {
          'allenai/longformer-base-4096': (
              'https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json'
          ),
          'allenai/longformer-large-4096': (
              'https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json'
          ),
          'allenai/longformer-large-4096-finetuned-triviaqa': (
              'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json'
          ),
          'allenai/longformer-base-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json'
          ),
          'allenai/longformer-large-4096-extra.pos.embd.only': (
              'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json'
          ),
      },
  }
  
  _lowerCAmelCase					:int  =      {
      'allenai/longformer-base-4096': 4_096,
      'allenai/longformer-large-4096': 4_096,
      'allenai/longformer-large-4096-finetuned-triviaqa': 4_096,
      'allenai/longformer-base-4096-extra.pos.embd.only': 4_096,
      'allenai/longformer-large-4096-extra.pos.embd.only': 4_096,
  }
  class 							_UpperCAmelCase							(				a   ):
  
  
  
  
  
       '''simple docstring'''
  
  
  
       a__             =VOCAB_FILES_NAMES
       a__             =PRETRAINED_VOCAB_FILES_MAP
       a__             =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       a__             =['''input_ids''', '''attention_mask''']
       a__             =LongformerTokenizer
  
  
  
  
  
       def __init__(      self ,			A=None ,			A=None ,			A=None ,			A="replace" ,			A="<s>" ,			A="</s>" ,			A="</s>" ,			A="<s>" ,			A="<unk>" ,			A="<pad>" ,			A="<mask>" ,			A=False ,			A=True ,			**A ,			)							->      List[Any]:
           super().__init__(
               A ,			A ,			tokenizer_file=A ,			errors=A ,			bos_token=A ,			eos_token=A ,			sep_token=A ,			cls_token=A ,			unk_token=A ,			pad_token=A ,			mask_token=A ,			add_prefix_space=A ,			trim_offsets=A ,			**A ,			)
  
           _UpperCAmelCase							:						Optional[Any]       							=					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
           if pre_tok_state.get('''add_prefix_space''' ,			A	) != add_prefix_space:
               _UpperCAmelCase							:						Any       							=					getattr(A ,			pre_tok_state.pop('''type'''	)	)
               _UpperCAmelCase							:						Dict       							=					add_prefix_space
               _UpperCAmelCase							:						str       							=					pre_tok_class(**A	)
  
           _UpperCAmelCase							:						Optional[Any]       							=					add_prefix_space
  
           _UpperCAmelCase							:						Dict       							=					'''post_processor'''
           _UpperCAmelCase							:						Dict       							=					getattr(self.backend_tokenizer ,			A ,			A	)
           if tokenizer_component_instance:
               _UpperCAmelCase							:						Union[str, Any]       							=					json.loads(tokenizer_component_instance.__getstate__()	)
  
               # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
               if "sep" in state:
                   _UpperCAmelCase							:						int       							=					tuple(state['''sep''']	)
               if "cls" in state:
                   _UpperCAmelCase							:						str       							=					tuple(state['''cls''']	)
  
               _UpperCAmelCase							:						List[Any]       							=					False
  
               if state.get('''add_prefix_space''' ,			A	) != add_prefix_space:
                   _UpperCAmelCase							:						Optional[int]       							=					add_prefix_space
                   _UpperCAmelCase							:						Tuple       							=					True
  
               if state.get('''trim_offsets''' ,			A	) != trim_offsets:
                   _UpperCAmelCase							:						str       							=					trim_offsets
                   _UpperCAmelCase							:						Optional[Any]       							=					True
  
               if changes_to_apply:
                   _UpperCAmelCase							:						List[str]       							=					getattr(A ,			state.pop('''type'''	)	)
                   _UpperCAmelCase							:						str       							=					component_class(**A	)
                   setattr(self.backend_tokenizer ,			A ,			A	)
  
  
  
  
  
       @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	)							->      Dict:
           _UpperCAmelCase							:						Union[str, Any]       							=					AddedToken(A ,			lstrip=A ,			rstrip=A	) if isinstance(A ,			A	) else value
           _UpperCAmelCase							:						List[Any]       							=					value
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			*A ,			**A	)							->      BatchEncoding:
           _UpperCAmelCase							:						Any       							=					kwargs.get('''is_split_into_words''' ,			A	)
           assert self.add_prefix_space or not is_split_into_words, (
               f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
               "to use it with pretokenized inputs."
           )
  
           return super()._batch_encode_plus(*A ,			**A	)
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			*A ,			**A	)							->      BatchEncoding:
           _UpperCAmelCase							:						Optional[Any]       							=					kwargs.get('''is_split_into_words''' ,			A	)
  
           assert self.add_prefix_space or not is_split_into_words, (
               f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
               "to use it with pretokenized inputs."
           )
  
           return super()._encode_plus(*A ,			**A	)
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      Tuple[str]:
           _UpperCAmelCase							:						Optional[Any]       							=					self._tokenizer.model.save(A ,			name=A	)
           return tuple(A	)
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A=None	)							->      Union[str, Any]:
           _UpperCAmelCase							:						int       							=					[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							:						Optional[int]       							=					[self.sep_token_id]
           _UpperCAmelCase							:						Dict       							=					[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]
  
  
  
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	)
  
  
  