


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_camembert import CamembertTokenizer
else:
    _lowercase       :      Optional[Any]	=	None


_lowercase       :      Tuple	=	logging.get_logger(__name__)

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

_lowercase       :      Any	=	{
    "vocab_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/tokenizer.json",
    },
}

_lowercase       :      List[str]	=	{
    "camembert-base": 512,
}

_lowercase       :      Tuple	=	"▁"






class       _UpperCamelCase    (					__snake_case				):

    """simple docstring"""







    lowerCAmelCase 		= VOCAB_FILES_NAMES
    lowerCAmelCase 		= PRETRAINED_VOCAB_FILES_MAP
    lowerCAmelCase 		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCAmelCase 		= ['input_ids', 'attention_mask']
    lowerCAmelCase 		= CamembertTokenizer

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

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

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

    def      _UpperCAmelCase					(						self				,   a__				,   a__ = None   )	->				List[int]:

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

    def      _UpperCAmelCase					(						self				,   a__				,   a__ = None   )	->				List[int]:
     A								=				[self.sep_token_id]
     A								=				[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				,   a__				,   a__ = 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(__UpperCamelCase   ):
      logger.error(f'Vocabulary path ({save_directory}) should be a directory'   )
      return
     A								=				os.path.join(
         __UpperCamelCase				,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )

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

     return (out_vocab_file,)







def   _lowerCAmelCase				(   UpperCamelCase__:     int						) ->   list[int]:





	"""simple docstring"""







	if num <= 0:
		raise ValueError("""Input must be a positive integer"""						)

	A								=				[True] * (num + 1)

	A								=				2
	while p * p <= num:
		if primes[p]:
			for i in range(p * p							,					num + 1							,					UpperCamelCase__						):
				A								=				False
		p += 1

	return [prime for prime in range(2							,					num + 1						) if primes[prime]]


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				_lowercase       :      Tuple	=	int(input("Enter a positive integer: ").strip())
				print(prime_sieve_eratosthenes(user_num))



