
"""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


__A       						=       logging.get_logger(__name__)

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

__A       						=       {
    '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'
        ),
    },
}

__A       						=       {
    '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 		lowerCamelCase__					(					__magic_name__				):





			'''simple docstring'''
			lowerCamelCase  					=		VOCAB_FILES_NAMES
			lowerCamelCase  					=		PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase  					=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase  					=		['''input_ids''', '''attention_mask''']
			lowerCamelCase  					=		LongformerTokenizer



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

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

				_lowerCAmelCase								=add_prefix_space

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

					_lowerCAmelCase								=False

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

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

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



			@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     ,     __UpperCAmelCase  ) ->     Dict:
				_lowerCAmelCase								=AddedToken(__UpperCAmelCase     ,     lstrip=__UpperCAmelCase     ,     rstrip=__UpperCAmelCase  ) if isinstance(__UpperCAmelCase     ,     __UpperCAmelCase  ) else value
				_lowerCAmelCase								=value



			def 					_lowerCAmelCase		(							self     ,     *__UpperCAmelCase     ,     **__UpperCAmelCase  ) ->     BatchEncoding:
				_lowerCAmelCase								=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 					_lowerCAmelCase		(							self     ,     *__UpperCAmelCase     ,     **__UpperCAmelCase  ) ->     BatchEncoding:
				_lowerCAmelCase								=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 					_lowerCAmelCase		(							self     ,     __UpperCAmelCase     ,     __UpperCAmelCase = None  ) ->     Tuple[str]:
				_lowerCAmelCase								=self._tokenizer.model.save(__UpperCAmelCase     ,     name=__UpperCAmelCase  )
				return tuple(__UpperCAmelCase  )



			def 					_lowerCAmelCase		(							self     ,     __UpperCAmelCase     ,     __UpperCAmelCase=None  ) ->     Any:
				_lowerCAmelCase								=[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     ,     __UpperCAmelCase     ,     __UpperCAmelCase = None  ) ->     List[int]:
				_lowerCAmelCase								=[self.sep_token_id]
				_lowerCAmelCase								=[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() = }""")



