





'''simple docstring'''






from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


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

A__    :       int              ={
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

A__    :       List[str]              ={
    '''vocab_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'''
    },
    '''tokenizer_config_file''': {
        '''facebook/blenderbot_small-90M''': (
            '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'''
        )
    },
}

A__    :       List[Any]              ={
    '''facebook/blenderbot_small-90M''': 5_12,
}




class 			UpperCAmelCase					(      snake_case_       ):
      _lowercase:      Tuple											=       VOCAB_FILES_NAMES
      _lowercase:      Union[str, Any]											=       PRETRAINED_VOCAB_FILES_MAP
      _lowercase:      int											=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _lowercase:      Dict											=       BlenderbotSmallTokenizer




      def __init__(      self      :			Dict      ,      __snake_case      :			Optional[Any]=None      ,      __snake_case      :			Dict=None      ,      __snake_case      :			str="<|endoftext|>"      ,      __snake_case      :			List[Any]="<|endoftext|>"      ,      __snake_case      :			Dict="<|endoftext|>"      ,      __snake_case      :			Tuple=False      ,      __snake_case      :			List[str]=True      ,      **__snake_case      :			str      ,      )    ->				int:
            super().__init__(
                ByteLevelBPETokenizer(
                    vocab=__snake_case      ,      merges=__snake_case      ,      add_prefix_space=__snake_case      ,      trim_offsets=__snake_case      ,      )      ,      bos_token=__snake_case      ,      eos_token=__snake_case      ,      unk_token=__snake_case      ,      **__snake_case      ,      )
            _lowerCAmelCase												=							add_prefix_space




      def     lowercase__   (      self      :			List[str]      ,      __snake_case      :			Tuple      ,      __snake_case      :			Dict=None  )    ->				Optional[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     lowercase__   (      self      :			Optional[Any]      ,      __snake_case      :			List[int]      ,      __snake_case      :			Optional[List[int]] = 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        UpperCamelCase__				(		lowerCAmelCase = 4_00_00_00  ):





      """simple docstring"""


      _lowerCAmelCase												=							[]
      _lowerCAmelCase					,							_lowerCAmelCase												=							0, 1
      while b <= n:
            if b % 2 == 0:
                  even_fibs.append(lowerCAmelCase  )
            _lowerCAmelCase					,							_lowerCAmelCase												=							b, a + b
      return sum(lowerCAmelCase  )


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






