





import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_barthez import BarthezTokenizer
else:
      snake_case 				=       None

snake_case 				=       logging.get_logger(__name__)

snake_case 				=       {"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

snake_case 				=       {
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json"""
        ),
    },
}

snake_case 				=       {
    """moussaKam/mbarthez""": 1_0_2_4,
    """moussaKam/barthez""": 1_0_2_4,
    """moussaKam/barthez-orangesum-title""": 1_0_2_4,
}

snake_case 				=       """▁"""





class 				A_				(      UpperCAmelCase	):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_      : Dict      =  VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE_      : Optional[Any]      =  PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE_      : Optional[int]      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE_      : Optional[Any]      =  ['''input_ids''', '''attention_mask''']
       SCREAMING_SNAKE_CASE_      : Dict      =  BarthezTokenizer







       def __init__(    self	:	Any						,__A	:	Optional[int]=None						,__A	:	Tuple=None						,__A	:	List[Any]="<s>"						,__A	:	List[str]="</s>"						,__A	:	Any="</s>"						,__A	:	Dict="<s>"						,__A	:	int="<unk>"						,__A	:	List[Any]="<pad>"						,__A	:	Dict="<mask>"						,**__A	:	Dict						,)						->					List[str]:
         # Mask token behave like a normal word, i.e. include the space before it
         _lowercase							= AddedToken(__A						,lstrip=__A						,rstrip=__A  ) if isinstance(__A						,__A  ) else mask_token

         super().__init__(
             __A						,tokenizer_file=__A						,bos_token=__A						,eos_token=__A						,unk_token=__A						,sep_token=__A						,cls_token=__A						,pad_token=__A						,mask_token=__A						,**__A						,)

         _lowercase							= vocab_file
         _lowercase							= False if not self.vocab_file else True







       def    __UpperCAmelCase (    self	:	List[str]						,__A	:	List[int]						,__A	:	Optional[List[int]] = None  )						->					List[int]:

         if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         _lowercase							= [self.cls_token_id]
         _lowercase							= [self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep







       def    __UpperCAmelCase (    self	:	List[Any]						,__A	:	List[int]						,__A	:	Optional[List[int]] = None  )						->					List[int]:
         _lowercase							= [self.sep_token_id]
         _lowercase							= [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    __UpperCAmelCase (    self	:	Union[str, Any]						,__A	:	str						,__A	:	Optional[str] = None  )						->					Tuple[str]:
         if not self.can_save_slow_tokenizer:
           raise ValueError(
               'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
               'tokenizer.'  )

         if not os.path.isdir(__A  ):
           logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
           return
         _lowercase							= os.path.join(
             __A						,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )

         if os.path.abspath(self.vocab_file  ) != os.path.abspath(__A  ):
           copyfile(self.vocab_file						,__A  )

         return (out_vocab_file,)






from __future__ import annotations

from collections.abc import Generator

def 							SCREAMING_SNAKE_CASE__       (  )      ->						Generator[int, None, None]:
  _lowercase							= {}
  _lowercase							= 2
  while True:
    _lowercase							= factor_map.pop(snake_case__			,							snake_case__     )
    if factor:
      _lowercase							= factor + prime
      while x in factor_map:
        x += factor
      _lowercase							= factor
    else:
      _lowercase							= prime
      yield prime
    prime += 1

def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :float = 1E10     )      ->						int:
  _lowercase							= sieve()

  _lowercase							= 1
  while True:
    _lowercase							= next(snake_case__     )
    if (2 * prime * n) > limit:
      return n
    # Ignore the next prime as the reminder will be 2.
    next(snake_case__     )
    n += 2


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