


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


UpperCAmelCase_				:			List[str]   =	logging.get_logger(__name__)

UpperCAmelCase_				:			Optional[Any]   =	{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

UpperCAmelCase_				:			List[Any]   =	{
    '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'
        )
    },
}

UpperCAmelCase_				:			Dict   =	{
    'facebook/blenderbot_small-90M': 512,
}
class 			SCREAMING_SNAKE_CASE__  (    lowercase__      ):
      snake_case__    :					int					       =						VOCAB_FILES_NAMES
      snake_case__    :					Union[str, Any]					       =						PRETRAINED_VOCAB_FILES_MAP
      snake_case__    :					int					       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__    :					Union[str, Any]					       =						BlenderbotSmallTokenizer
      def __init__(	self    :	Union[str, Any]					,							SCREAMING_SNAKE_CASE__    :	Dict=None					,							SCREAMING_SNAKE_CASE__    :	Dict=None					,							SCREAMING_SNAKE_CASE__    :	Optional[int]="<|endoftext|>"					,							SCREAMING_SNAKE_CASE__    :	Optional[int]="<|endoftext|>"					,							SCREAMING_SNAKE_CASE__    :	Union[str, Any]="<|endoftext|>"					,							SCREAMING_SNAKE_CASE__    :	List[str]=False					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]=True					,							**SCREAMING_SNAKE_CASE__    :	str					,							)		->      int:
             super().__init__(
                 ByteLevelBPETokenizer(
                     vocab=SCREAMING_SNAKE_CASE__					,							merges=SCREAMING_SNAKE_CASE__					,							add_prefix_space=SCREAMING_SNAKE_CASE__					,							trim_offsets=SCREAMING_SNAKE_CASE__					,							)					,							bos_token=SCREAMING_SNAKE_CASE__					,							eos_token=SCREAMING_SNAKE_CASE__					,							unk_token=SCREAMING_SNAKE_CASE__					,							**SCREAMING_SNAKE_CASE__					,							)
             a_ :		str							=  add_prefix_space
      def 	SCREAMING_SNAKE_CASE							(	self    :	List[Any]					,							SCREAMING_SNAKE_CASE__    :	Optional[int]					,							SCREAMING_SNAKE_CASE__    :	Optional[int]=None					)		->      Dict:
             a_ :		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 	SCREAMING_SNAKE_CASE							(	self    :	Union[str, Any]					,							SCREAMING_SNAKE_CASE__    :	List[int]					,							SCREAMING_SNAKE_CASE__    :	Optional[List[int]] = None					)		->      List[int]:
             a_ :		str							=  [self.sep_token_id]
             a_ :		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]






def 	SCREAMING_SNAKE_CASE_						(      __A			:      int  ,   __A			:      int    )     ->		int:

       """simple docstring"""

       while b:
              a_							,		a_ :		int							=  b, a % b
       return a







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int  ,   __A			:      int    )     ->		int:

       """simple docstring"""

       return a if b == 0 else euclidean_gcd_recursive(__A  ,   a % b    )







def 	SCREAMING_SNAKE_CASE_						(      )     ->		str:

       """simple docstring"""

       print(F"""euclidean_gcd(3, 5) = {euclidean_gcd(3  ,   5    )}"""    )
       print(F"""euclidean_gcd(5, 3) = {euclidean_gcd(5  ,   3    )}"""    )
       print(F"""euclidean_gcd(1, 3) = {euclidean_gcd(1  ,   3    )}"""    )
       print(F"""euclidean_gcd(3, 6) = {euclidean_gcd(3  ,   6    )}"""    )
       print(F"""euclidean_gcd(6, 3) = {euclidean_gcd(6  ,   3    )}"""    )

       print(F"""euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3  ,   5    )}"""    )
       print(F"""euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5  ,   3    )}"""    )
       print(F"""euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1  ,   3    )}"""    )
       print(F"""euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3  ,   6    )}"""    )
       print(F"""euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6  ,   3    )}"""    )


if __name__ == "__main__":
   main()


