




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


lowerCAmelCase__ :   Dict						=     logging.get_logger(__name__)

lowerCAmelCase__ :   Tuple						=     {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase__ :   Any						=     {
    'vocab_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
    },
}

lowerCAmelCase__ :   str						=     {
    'microsoft/mpnet-base': 512,
}

lowerCAmelCase__ :   Union[str, Any]						=     {
    'microsoft/mpnet-base': {'do_lower_case': True},
}




class 	UpperCamelCase__			(lowerCAmelCase__  ):

    '''simple docstring'''



    lowerCamelCase_   :			Optional[int]			  =   VOCAB_FILES_NAMES
    lowerCamelCase_   :			int			  =   PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase_   :			Any			  =   PRETRAINED_INIT_CONFIGURATION
    lowerCamelCase_   :			Optional[Any]			  =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCamelCase_   :			Any			  =   MPNetTokenizer
    lowerCamelCase_   :			int			  =   ["""input_ids""", """attention_mask"""]







    def __init__(					self  ,						UpperCamelCase__=None  ,						UpperCamelCase__=None  ,						UpperCamelCase__=True  ,						UpperCamelCase__="<s>"  ,						UpperCamelCase__="</s>"  ,						UpperCamelCase__="</s>"  ,						UpperCamelCase__="<s>"  ,						UpperCamelCase__="[UNK]"  ,						UpperCamelCase__="<pad>"  ,						UpperCamelCase__="<mask>"  ,						UpperCamelCase__=True  ,						UpperCamelCase__=None  ,						**UpperCamelCase__  ,						)  ->   Dict:
           super().__init__(
               UpperCamelCase__  ,						tokenizer_file=UpperCamelCase__  ,						do_lower_case=UpperCamelCase__  ,						bos_token=UpperCamelCase__  ,						eos_token=UpperCamelCase__  ,						sep_token=UpperCamelCase__  ,						cls_token=UpperCamelCase__  ,						unk_token=UpperCamelCase__  ,						pad_token=UpperCamelCase__  ,						mask_token=UpperCamelCase__  ,						tokenize_chinese_chars=UpperCamelCase__  ,						strip_accents=UpperCamelCase__  ,						**UpperCamelCase__  ,						)

           lowerCamelCase     :   List[str]    				=      json.loads(self.backend_tokenizer.normalizer.__getstate__()  )
           if (
               pre_tok_state.get("lowercase"  ,						UpperCamelCase__  ) != do_lower_case
               or pre_tok_state.get("strip_accents"  ,						UpperCamelCase__  ) != strip_accents
           ):
                  lowerCamelCase     :   Optional[int]    				=      getattr(UpperCamelCase__  ,						pre_tok_state.pop("type"  )  )
                  lowerCamelCase     :   List[Any]    				=      do_lower_case
                  lowerCamelCase     :   List[Any]    				=      strip_accents
                  lowerCamelCase     :   Tuple    				=      pre_tok_class(**UpperCamelCase__  )

           lowerCamelCase     :   Union[str, Any]    				=      do_lower_case







    @property
    def 					_lowercase  (					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 					_lowercase  (					self  ,						UpperCamelCase__  )  ->   str:
           lowerCamelCase     :   Optional[int]    				=      AddedToken(UpperCamelCase__  ,						lstrip=UpperCamelCase__  ,						rstrip=UpperCamelCase__  ) if isinstance(UpperCamelCase__  ,						UpperCamelCase__  ) else value
           lowerCamelCase     :   List[Any]    				=      value







    def 					_lowercase  (					self  ,						UpperCamelCase__  ,						UpperCamelCase__=None  )  ->   str:
           lowerCamelCase     :   List[str]    				=      [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 					_lowercase  (					self  ,						UpperCamelCase__  ,						UpperCamelCase__ = None  )  ->   List[int]:
           lowerCamelCase     :   int    				=      [self.sep_token_id]
           lowerCamelCase     :   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 					_lowercase  (					self  ,						UpperCamelCase__  ,						UpperCamelCase__ = None  )  ->   Tuple[str]:
           lowerCamelCase     :   str    				=      self._tokenizer.model.save(UpperCamelCase__  ,						name=UpperCamelCase__  )
           return tuple(UpperCamelCase__  )












from itertools import compress, repeat
from math import ceil, sqrt

def   A   (   _SCREAMING_SNAKE_CASE					)			->				list[int]:

       if num <= 2:
              return []
       if num == 3:
              return [2]

       # Odd sieve for numbers in range [3, num - 1]
       lowerCamelCase     :   str    				=      bytearray(B"\x01"					) * ((num >> 1) - 1)

       for i in range(3				,int(sqrt(_SCREAMING_SNAKE_CASE					)					) + 1				,2					):
              if sieve[(i >> 1) - 1]:
                     lowerCamelCase     :   Tuple    				=      i**2
                     lowerCamelCase     :   str    				=      repeat(
                         0				,ceil((num - i_squared) / (i << 1)					)					)

       return [2] + list(compress(range(3				,_SCREAMING_SNAKE_CASE				,2					)				,_SCREAMING_SNAKE_CASE					)					)


if __name__ == "__main__":
       import doctest

       doctest.testmod()






