






"""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_		:			Optional[Any]				   =					logging.get_logger(__name__)

lowerCAmelCase_		:			Dict				   =					{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase_		:			Optional[int]				   =					{
    '''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_		:			List[str]				   =					{
    '''allenai/longformer-base-4096''': 4_0_9_6,
    '''allenai/longformer-large-4096''': 4_0_9_6,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4_0_9_6,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4_0_9_6,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4_0_9_6,
}





class      UpperCamelCase_       (				a_     ):
  _A				:    int =		VOCAB_FILES_NAMES
  _A				:    Tuple =		PRETRAINED_VOCAB_FILES_MAP
  _A				:    Dict =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _A				:    List[str] =		['input_ids', 'attention_mask']
  _A				:    Union[str, Any] =		LongformerTokenizer



  def __init__(					self       ,						snake_case__=None       ,						snake_case__=None       ,						snake_case__=None       ,						snake_case__="replace"       ,						snake_case__="<s>"       ,						snake_case__="</s>"       ,						snake_case__="</s>"       ,						snake_case__="<s>"       ,						snake_case__="<unk>"       ,						snake_case__="<pad>"       ,						snake_case__="<mask>"       ,						snake_case__=False       ,						snake_case__=True       ,						**snake_case__       ,						)	->	str:



         """simple docstring"""





         super().__init__(
             __UpperCAmelCase       ,						__UpperCAmelCase       ,						tokenizer_file=__UpperCAmelCase       ,						errors=__UpperCAmelCase       ,						bos_token=__UpperCAmelCase       ,						eos_token=__UpperCAmelCase       ,						sep_token=__UpperCAmelCase       ,						cls_token=__UpperCAmelCase       ,						unk_token=__UpperCAmelCase       ,						pad_token=__UpperCAmelCase       ,						mask_token=__UpperCAmelCase       ,						add_prefix_space=__UpperCAmelCase       ,						trim_offsets=__UpperCAmelCase       ,						**__UpperCAmelCase       ,						)

         UpperCAmelCase					=	json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
         if pre_tok_state.get("""add_prefix_space"""       ,						__UpperCAmelCase ) != add_prefix_space:
                UpperCAmelCase					=	getattr(__UpperCAmelCase       ,						pre_tok_state.pop("""type""" ) )
                UpperCAmelCase					=	add_prefix_space
                UpperCAmelCase					=	pre_tok_class(**__UpperCAmelCase )

         UpperCAmelCase					=	add_prefix_space

         UpperCAmelCase					=	"""post_processor"""
         UpperCAmelCase					=	getattr(self.backend_tokenizer       ,						__UpperCAmelCase       ,						__UpperCAmelCase )
         if tokenizer_component_instance:
                UpperCAmelCase					=	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					=	tuple(state["""sep"""] )
                if "cls" in state:
                       UpperCAmelCase					=	tuple(state["""cls"""] )

                UpperCAmelCase					=	False

                if state.get("""add_prefix_space"""       ,						__UpperCAmelCase ) != add_prefix_space:
                       UpperCAmelCase					=	add_prefix_space
                       UpperCAmelCase					=	True

                if state.get("""trim_offsets"""       ,						__UpperCAmelCase ) != trim_offsets:
                       UpperCAmelCase					=	trim_offsets
                       UpperCAmelCase					=	True

                if changes_to_apply:
                       UpperCAmelCase					=	getattr(__UpperCAmelCase       ,						state.pop("""type""" ) )
                       UpperCAmelCase					=	component_class(**__UpperCAmelCase )
                       setattr(self.backend_tokenizer       ,						__UpperCAmelCase       ,						__UpperCAmelCase )



  @property
  def 						UpperCamelCase_ (					self )	->	str:



         """simple docstring"""





         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 						UpperCamelCase_ (					self       ,						snake_case__ )	->	Dict:



         """simple docstring"""





         UpperCAmelCase					=	AddedToken(__UpperCAmelCase       ,						lstrip=__UpperCAmelCase       ,						rstrip=__UpperCAmelCase ) if isinstance(__UpperCAmelCase       ,						__UpperCAmelCase ) else value
         UpperCAmelCase					=	value



  def 						UpperCamelCase_ (					self       ,						*snake_case__       ,						**snake_case__ )	->	BatchEncoding:



         """simple docstring"""





         UpperCAmelCase					=	kwargs.get("""is_split_into_words"""       ,						__UpperCAmelCase )
         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(*__UpperCAmelCase       ,						**__UpperCAmelCase )



  def 						UpperCamelCase_ (					self       ,						*snake_case__       ,						**snake_case__ )	->	BatchEncoding:



         """simple docstring"""





         UpperCAmelCase					=	kwargs.get("""is_split_into_words"""       ,						__UpperCAmelCase )

         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(*__UpperCAmelCase       ,						**__UpperCAmelCase )



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__ = None )	->	Tuple[str]:



         """simple docstring"""





         UpperCAmelCase					=	self._tokenizer.model.save(__UpperCAmelCase       ,						name=__UpperCAmelCase )
         return tuple(__UpperCAmelCase )



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__=None )	->	Any:



         """simple docstring"""





         UpperCAmelCase					=	[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 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__ = None )	->	List[int]:



         """simple docstring"""





         UpperCAmelCase					=	[self.sep_token_id]
         UpperCAmelCase					=	[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]


"""simple docstring"""


def     _lowerCamelCase(__UpperCamelCase = 4000000       )				-> int:
	_lowerCAmelCase								=1
	_lowerCAmelCase								=2
	_lowerCAmelCase								=0
	while j <= n:
		if j % 2 == 0:
			total += j
		_lowerCAmelCase						,							_lowerCAmelCase								=j, i + j

	return total


if __name__ == "__main__":
			print(F"""{solution() = }""")



