






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


lowerCAmelCase_	:    Optional[int]            =      logging.get_logger(__name__)

lowerCAmelCase_	:    Any            =      {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

lowerCAmelCase_	:    int            =      {
    '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'
        )
    },
}

lowerCAmelCase_	:    List[Any]            =      {
    'facebook/blenderbot_small-90M': 5_1_2,
}





class   UpperCamelCase_ (       a_  ):
  _A       :					int				=	VOCAB_FILES_NAMES
  _A       :					Dict				=	PRETRAINED_VOCAB_FILES_MAP
  _A       :					int				=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _A       :					List[Any]				=	BlenderbotSmallTokenizer



  def __init__(      self ,		snake_case__=None ,		snake_case__=None ,		snake_case__="<|endoftext|>" ,		snake_case__="<|endoftext|>" ,		snake_case__="<|endoftext|>" ,		snake_case__=False ,		snake_case__=True ,		**snake_case__ ,		)			->			Optional[int]:



         """simple docstring"""





         super().__init__(
             ByteLevelBPETokenizer(
                 vocab=UpperCAmelCase__ ,		merges=UpperCAmelCase__ ,		add_prefix_space=UpperCAmelCase__ ,		trim_offsets=UpperCAmelCase__ ,		) ,		bos_token=UpperCAmelCase__ ,		eos_token=UpperCAmelCase__ ,		unk_token=UpperCAmelCase__ ,		**UpperCAmelCase__ ,		)
         UpperCAmelCase	    =			add_prefix_space



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



         """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				)			->			str:



         """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       (      lowerCAmelCase		):







       '''simple docstring'''
       if not isinstance(lowerCAmelCase	,      lowerCAmelCase		):
              UpperCAmelCase	    =			F'''Input value of [number={number}] must be an integer'''
              raise TypeError(lowerCAmelCase		)
       if number < 0:
              return False
       UpperCAmelCase	    =			number * number
       while number > 0:
              if number % 10 != number_square % 10:
                     return False
              number //= 10
              number_square //= 10
       return True


if __name__ == "__main__":
 import doctest

 doctest.testmod()
