





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


UpperCamelCase__  			=logging.get_logger(__name__)


UpperCamelCase__  			={"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

# See all BART models at https://huggingface.co/models?filter=bart
UpperCamelCase__  			={
    """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""",
    },
}

UpperCamelCase__  			={
    """facebook/bart-base""": 1024,
    """facebook/bart-large""": 1024,
    """facebook/bart-large-mnli""": 1024,
    """facebook/bart-large-cnn""": 1024,
    """facebook/bart-large-xsum""": 1024,
    """yjernite/bart_eli5""": 1024,
}





class       lowerCAmelCase__(			a_     ):






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

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

            _SCREAMING_SNAKE_CASE							:						Dict         =				add_prefix_space

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

                 _SCREAMING_SNAKE_CASE							:						Optional[int]         =				False

                 if state.get("add_prefix_space"     ,    __SCREAMING_SNAKE_CASE				) != add_prefix_space:
                      _SCREAMING_SNAKE_CASE							:						Dict         =				add_prefix_space
                      _SCREAMING_SNAKE_CASE							:						List[str]         =				True

                 if state.get("trim_offsets"     ,    __SCREAMING_SNAKE_CASE				) != trim_offsets:
                      _SCREAMING_SNAKE_CASE							:						Dict         =				trim_offsets
                      _SCREAMING_SNAKE_CASE							:						int         =				True

                 if changes_to_apply:
                      _SCREAMING_SNAKE_CASE							:						str         =				getattr(__SCREAMING_SNAKE_CASE     ,    state.pop("type"				)				)
                      _SCREAMING_SNAKE_CASE							:						Union[str, Any]         =				component_class(**__SCREAMING_SNAKE_CASE				)
                      setattr(self.backend_tokenizer     ,    __SCREAMING_SNAKE_CASE     ,    __SCREAMING_SNAKE_CASE				)




       @property
       def      UpperCamelCase_      (   self				)      ->  Any:
            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     ,    __lowerCamelCase				)      ->  Any:
            _SCREAMING_SNAKE_CASE							:						str         =				AddedToken(__SCREAMING_SNAKE_CASE     ,    lstrip=__SCREAMING_SNAKE_CASE     ,    rstrip=__SCREAMING_SNAKE_CASE				) if isinstance(__SCREAMING_SNAKE_CASE     ,    __SCREAMING_SNAKE_CASE				) else value
            _SCREAMING_SNAKE_CASE							:						List[str]         =				value




       def      UpperCamelCase_      (   self     ,    *__lowerCamelCase     ,    **__lowerCamelCase				)      ->  Optional[int]:
            _SCREAMING_SNAKE_CASE							:						Tuple         =				kwargs.get("is_split_into_words"     ,    __SCREAMING_SNAKE_CASE				)

            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(*__SCREAMING_SNAKE_CASE     ,    **__SCREAMING_SNAKE_CASE				)




       def      UpperCamelCase_      (   self     ,    *__lowerCamelCase     ,    **__lowerCamelCase				)      ->  List[Any]:
            _SCREAMING_SNAKE_CASE							:						Dict         =				kwargs.get("is_split_into_words"     ,    __SCREAMING_SNAKE_CASE				)

            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(*__SCREAMING_SNAKE_CASE     ,    **__SCREAMING_SNAKE_CASE				)




       def      UpperCamelCase_      (   self     ,    __lowerCamelCase     ,    __lowerCamelCase = None				)      ->  List[str]:
            _SCREAMING_SNAKE_CASE							:						List[str]         =				self._tokenizer.model.save(__SCREAMING_SNAKE_CASE     ,    name=__SCREAMING_SNAKE_CASE				)
            return tuple(__SCREAMING_SNAKE_CASE				)




       def      UpperCamelCase_      (   self     ,    __lowerCamelCase     ,    __lowerCamelCase=None				)      ->  Tuple:
            _SCREAMING_SNAKE_CASE							:						Optional[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     ,    __lowerCamelCase     ,    __lowerCamelCase = None				)      ->  int:
            _SCREAMING_SNAKE_CASE							:						Tuple         =				[self.sep_token_id]
            _SCREAMING_SNAKE_CASE							:						str         =				[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 	__A		(      _A				,					_A       ):



 """simple docstring"""


 return x if y == 0 else greatest_common_divisor(_A				,					x % y       )



def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 return (x * y) // greatest_common_divisor(_A				,					_A       )



def 	__A		(      _A = 20       ):



 """simple docstring"""


 __a							=	1
 for i in range(1				,					n + 1       ):
  __a							=	lcm(_A				,					_A       )
 return g


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


