code: 
  
  
  
  
  
  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
  
  
  _lowercase		:     Dict 					=logging.get_logger(__name__)
  
  _lowercase		:     Union[str, Any] 					={'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}
  
  _lowercase		:     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'
          ),
      },
  }
  
  _lowercase		:     int 					={
      'allenai/longformer-base-4096': 4096,
      'allenai/longformer-large-4096': 4096,
      'allenai/longformer-large-4096-finetuned-triviaqa': 4096,
      'allenai/longformer-base-4096-extra.pos.embd.only': 4096,
      'allenai/longformer-large-4096-extra.pos.embd.only': 4096,
  }
  
  
  
  
  
  
  class 	UpperCamelCase_     (     snake_case__       ):
       _a			:	Optional[Any]							=				VOCAB_FILES_NAMES
       _a			:	Dict							=				PRETRAINED_VOCAB_FILES_MAP
       _a			:	List[str]							=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _a			:	Union[str, Any]							=				['input_ids', 'attention_mask']
       _a			:	List[Any]							=				LongformerTokenizer
  
  
  
       def __init__(		self    :    Dict					,			lowerCamelCase    :    int=None					,			lowerCamelCase    :    int=None					,			lowerCamelCase    :    List[str]=None					,			lowerCamelCase    :    List[Any]="replace"					,			lowerCamelCase    :    Union[str, Any]="<s>"					,			lowerCamelCase    :    int="</s>"					,			lowerCamelCase    :    Tuple="</s>"					,			lowerCamelCase    :    Optional[Any]="<s>"					,			lowerCamelCase    :    str="<unk>"					,			lowerCamelCase    :    List[str]="<pad>"					,			lowerCamelCase    :    Optional[Any]="<mask>"					,			lowerCamelCase    :    int=False					,			lowerCamelCase    :    Union[str, Any]=True					,			**lowerCamelCase    :    List[str]					,			):
         super().__init__(
             lowerCamelCase					,			lowerCamelCase					,			tokenizer_file=lowerCamelCase					,			errors=lowerCamelCase					,			bos_token=lowerCamelCase					,			eos_token=lowerCamelCase					,			sep_token=lowerCamelCase					,			cls_token=lowerCamelCase					,			unk_token=lowerCamelCase					,			pad_token=lowerCamelCase					,			mask_token=lowerCamelCase					,			add_prefix_space=lowerCamelCase					,			trim_offsets=lowerCamelCase					,			**lowerCamelCase					,			)
  
         lowerCamelCase_  :    Optional[Any]   	=			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
         if pre_tok_state.get('add_prefix_space'					,			lowerCamelCase	) != add_prefix_space:
           lowerCamelCase_  :    Any   	=			getattr(lowerCamelCase					,			pre_tok_state.pop('type'	)	)
           lowerCamelCase_  :    Dict   	=			add_prefix_space
           lowerCamelCase_  :    str   	=			pre_tok_class(**lowerCamelCase	)
  
         lowerCamelCase_  :    Optional[Any]   	=			add_prefix_space
  
         lowerCamelCase_  :    Dict   	=			'''post_processor'''
         lowerCamelCase_  :    Dict   	=			getattr(self.backend_tokenizer					,			lowerCamelCase					,			lowerCamelCase	)
         if tokenizer_component_instance:
           lowerCamelCase_  :    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:
             lowerCamelCase_  :    int   	=			tuple(state['sep']	)
           if "cls" in state:
             lowerCamelCase_  :    str   	=			tuple(state['cls']	)
  
           lowerCamelCase_  :    List[Any]   	=			False
  
           if state.get('add_prefix_space'					,			lowerCamelCase	) != add_prefix_space:
             lowerCamelCase_  :    Optional[int]   	=			add_prefix_space
             lowerCamelCase_  :    Tuple   	=			True
  
           if state.get('trim_offsets'					,			lowerCamelCase	) != trim_offsets:
             lowerCamelCase_  :    str   	=			trim_offsets
             lowerCamelCase_  :    Optional[Any]   	=			True
  
           if changes_to_apply:
             lowerCamelCase_  :    List[str]   	=			getattr(lowerCamelCase					,			state.pop('type'	)	)
             lowerCamelCase_  :    str   	=			component_class(**lowerCamelCase	)
             setattr(self.backend_tokenizer					,			lowerCamelCase					,			lowerCamelCase	)
  
  
  
       @property
       def      __a    (		self    :    Tuple	):
         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      __a    (		self    :    Union[str, Any]					,			lowerCamelCase    :    List[Any]	):
         lowerCamelCase_  :    Union[str, Any]   	=			AddedToken(lowerCamelCase					,			lstrip=lowerCamelCase					,			rstrip=lowerCamelCase	) if isinstance(lowerCamelCase					,			lowerCamelCase	) else value
         lowerCamelCase_  :    List[Any]   	=			value
  
  
  
       def      __a    (		self    :    Dict					,			*lowerCamelCase    :    Any					,			**lowerCamelCase    :    Dict	):
         lowerCamelCase_  :    Any   	=			kwargs.get('is_split_into_words'					,			lowerCamelCase	)
         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(*lowerCamelCase					,			**lowerCamelCase	)
  
  
  
       def      __a    (		self    :    Optional[int]					,			*lowerCamelCase    :    Optional[int]					,			**lowerCamelCase    :    Optional[Any]	):
         lowerCamelCase_  :    Optional[Any]   	=			kwargs.get('is_split_into_words'					,			lowerCamelCase	)
  
         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(*lowerCamelCase					,			**lowerCamelCase	)
  
  
  
       def      __a    (		self    :    Any					,			lowerCamelCase    :    Optional[int]					,			lowerCamelCase    :    str = None	):
         lowerCamelCase_  :    Optional[Any]   	=			self._tokenizer.model.save(lowerCamelCase					,			name=lowerCamelCase	)
         return tuple(lowerCamelCase	)
  
  
  
       def      __a    (		self    :    Dict					,			lowerCamelCase    :    Any					,			lowerCamelCase    :    List[Any]=None	):
         lowerCamelCase_  :    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      __a    (		self    :    str					,			lowerCamelCase    :    Optional[int]					,			lowerCamelCase    :    int = None	):
         lowerCamelCase_  :    Optional[int]   	=			[self.sep_token_id]
         lowerCamelCase_  :    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: 
  
  
  
  
  
  import os
  import unittest
  
  import pytest
  from parameterized import parameterized
  
  from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
  
  
  # skipping in unittest tests
  
  _lowercase		:     Optional[Any] 					=[(1,)]
  
  
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		lowerCamelCase_  :    Union[str, Any]   	=			bool(os.getenv('RUN_SLOW'       ,0	)	)
  		if run_slow:
  				assert True
  		else:
  				assert False, "should have been skipped"
  
  
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		lowerCamelCase_  :    List[str]   	=			bool(os.getenv('RUN_SLOW'       ,0	)	)
  		if run_slow and torch_device == "cuda":
  				assert True
  		else:
  				assert False, "should have been skipped"
  
  
  
  
  
  
  @require_torch
  class 	UpperCamelCase_     (     unittest.TestCase       ):
  
  
  
  					@slow
  					@require_torch_gpu
  					def      __a    (		self    :    Tuple	):
  							check_slow_torch_cuda()
  
  
  
  					@require_torch_gpu
  					@slow
  					def      __a    (		self    :    Optional[int]	):
  							check_slow_torch_cuda()
  
  
  
  
  
  					@parameterized.expand(lowerCamelCase	)
  					@slow
  					def      __a    (		self    :    List[str]					,			lowerCamelCase    :    Optional[Any]=None	):
  							check_slow()
  
  
  @slow
  @require_torch_gpu
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		check_slow_torch_cuda()
  
  
  @require_torch_gpu
  @slow
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		check_slow_torch_cuda()
  
  
  @slow
  @pytest.mark.parametrize('param'       ,[1]	)
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__	):
  		check_slow()
  
  
  
  
  
  @pytest.mark.parametrize('param'       ,[1]	)
  @slow
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__	):
  		check_slow()
  