





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_           =	logging.get_logger(__name__)

UpperCAmelCase_           =	{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

UpperCAmelCase_           =	{
    "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_           =	{
    "facebook/blenderbot_small-90M": 5_12,
}




class 			__UpperCamelCase    (							A__    ):
     __A	:  List[str]							  =   VOCAB_FILES_NAMES
     __A	:  Tuple							  =   PRETRAINED_VOCAB_FILES_MAP
     __A	:  Tuple							  =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A	:  Optional[int]							  =   BlenderbotSmallTokenizer





     def __init__(     self				,							_UpperCamelCase=None				,							_UpperCamelCase=None				,							_UpperCamelCase="<|endoftext|>"				,							_UpperCamelCase="<|endoftext|>"				,							_UpperCamelCase="<|endoftext|>"				,							_UpperCamelCase=False				,							_UpperCamelCase=True				,							**_UpperCamelCase				,							):
        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				,							_UpperCamelCase				,							_UpperCamelCase=None					):
        _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				,							_UpperCamelCase				,							_UpperCamelCase = None					):
        _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]






from __future__ import annotations
def      A__       (    SCREAMING_SNAKE_CASE_   :      int						)  ->  bool:






   """simple docstring"""







   _UpperCAmelCase           =   str(SCREAMING_SNAKE_CASE_						)
   return len(SCREAMING_SNAKE_CASE_						) == 9 and set(SCREAMING_SNAKE_CASE_						) == set('''123456789'''						)
def      A__       (    )  ->  int | None:






   """simple docstring"""







   for base_num in range(99_99				,	49_99				,	-1						):
      _UpperCAmelCase           =   10_00_02 * base_num
      if is_9_pandigital(SCREAMING_SNAKE_CASE_						):
         return candidate

   for base_num in range(3_33				,	99				,	-1						):
      _UpperCAmelCase           =   1_00_20_03 * base_num
      if is_9_pandigital(SCREAMING_SNAKE_CASE_						):
         return candidate

   return None


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