




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_bart import BartTokenizer


lowerCamelCase	:	List[Any]				=   logging.get_logger(__name__)


lowerCamelCase	:	List[str]				=   {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

# See all BART models at https://huggingface.co/models?filter=bart
lowerCamelCase	:	List[Any]				=   {
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json',
    },
}

lowerCamelCase	:	int				=   {
    'facebook/bart-base': 1_0_2_4,
    'facebook/bart-large': 1_0_2_4,
    'facebook/bart-large-mnli': 1_0_2_4,
    'facebook/bart-large-cnn': 1_0_2_4,
    'facebook/bart-large-xsum': 1_0_2_4,
    'yjernite/bart_eli5': 1_0_2_4,
}




class 						__lowercase		(UpperCamelCase__							):




      """simple docstring"""





      _snake_case												=						VOCAB_FILES_NAMES
      _snake_case												=						PRETRAINED_VOCAB_FILES_MAP
      _snake_case												=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _snake_case												=						["""input_ids""", """attention_mask"""]
      _snake_case												=						BartTokenizer

      def __init__(				self    ,				A=None    ,				A=None    ,				A=None    ,				A="replace"    ,				A="<s>"    ,				A="</s>"    ,				A="</s>"    ,				A="<s>"    ,				A="<unk>"    ,				A="<pad>"    ,				A="<mask>"    ,				A=False    ,				A=True    ,				**A    ,				)		->    Union[str, Any]:
         super().__init__(
             A    ,				A    ,				tokenizer_file=A    ,				errors=A    ,				bos_token=A    ,				eos_token=A    ,				sep_token=A    ,				cls_token=A    ,				unk_token=A    ,				pad_token=A    ,				mask_token=A    ,				add_prefix_space=A    ,				trim_offsets=A    ,				**A    ,				)

         snake_case				:    Optional[int]           =	json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
         if pre_tok_state.get("""add_prefix_space"""    ,				A     ) != add_prefix_space:
            snake_case				:    Optional[int]           =	getattr(A    ,				pre_tok_state.pop("""type"""     )     )
            snake_case				:    List[str]           =	add_prefix_space
            snake_case				:    Any           =	pre_tok_class(**A     )

         snake_case				:    List[Any]           =	add_prefix_space

         # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
         snake_case				:    int           =	"""post_processor"""
         snake_case				:    List[str]           =	getattr(self.backend_tokenizer    ,				A    ,				A     )
         if tokenizer_component_instance:
            snake_case				:    List[str]           =	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:
               snake_case				:    Optional[Any]           =	tuple(state["""sep"""]     )
            if "cls" in state:
               snake_case				:    Any           =	tuple(state["""cls"""]     )

            snake_case				:    Any           =	False

            if state.get("""add_prefix_space"""    ,				A     ) != add_prefix_space:
               snake_case				:    List[str]           =	add_prefix_space
               snake_case				:    int           =	True

            if state.get("""trim_offsets"""    ,				A     ) != trim_offsets:
               snake_case				:    Optional[int]           =	trim_offsets
               snake_case				:    List[Any]           =	True

            if changes_to_apply:
               snake_case				:    Any           =	getattr(A    ,				state.pop("""type"""     )     )
               snake_case				:    List[Any]           =	component_class(**A     )
               setattr(self.backend_tokenizer    ,				A    ,				A     )

      @property
      def      UpperCAmelCase				(				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      UpperCAmelCase				(				self    ,				A     )		->    Any:
         snake_case				:    Any           =	AddedToken(A    ,				lstrip=A    ,				rstrip=A     ) if isinstance(A    ,				A     ) else value
         snake_case				:    List[str]           =	value

      def      UpperCAmelCase				(				self    ,				*A    ,				**A     )		->    BatchEncoding:
         snake_case				:    int           =	kwargs.get("""is_split_into_words"""    ,				A     )

         if is_split_into_words and not self.add_prefix_space:
            raise ValueError(
                f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                """to use it with pretokenized inputs."""     )

         return super()._batch_encode_plus(*A    ,				**A     )

      def      UpperCAmelCase				(				self    ,				*A    ,				**A     )		->    BatchEncoding:
         snake_case				:    Optional[Any]           =	kwargs.get("""is_split_into_words"""    ,				A     )

         if is_split_into_words and not self.add_prefix_space:
            raise ValueError(
                f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                """to use it with pretokenized inputs."""     )

         return super()._encode_plus(*A    ,				**A     )

      def      UpperCAmelCase				(				self    ,				A    ,				A = None     )		->    Tuple[str]:
         snake_case				:    Optional[int]           =	self._tokenizer.model.save(A    ,				name=A     )
         return tuple(A     )

      def      UpperCAmelCase				(				self    ,				A    ,				A=None     )		->    List[str]:
         snake_case				:    List[Any]           =	[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    ,				A    ,				A = None     )		->    List[int]:
         snake_case				:    Optional[int]           =	[self.sep_token_id]
         snake_case				:    Optional[int]           =	[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__ (   )  ->       Dict:
   snake_case				:    Optional[int]           =	[]
   snake_case				:    Tuple           =	1

   while len(lowercase					) < 1E6:
      constant.append(str(lowercase					)					)
      i += 1

   snake_case				:    int           =	"""""".join(lowercase					)

   return (
       int(constant[0]					)
       * int(constant[9]					)
       * int(constant[99]					)
       * int(constant[999]					)
       * int(constant[9999]					)
       * int(constant[99999]					)
       * int(constant[999999]					)
   )


if __name__ == "__main__":
       print(solution())





