





"""simple docstring"""



import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


a_   			=      logging.get_logger(__name__)

a_   			=      {"""vocab_file""": """spiece.model"""}

a_   			=      {
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    }
}






class 		__snake_case (		SCREAMING_SNAKE_CASE__					):





 """simple docstring"""


 def __init__(   self ,						__lowerCamelCase ,						__lowerCamelCase=False ,						__lowerCamelCase=True ,						__lowerCamelCase=False ,						__lowerCamelCase="<s>" ,						__lowerCamelCase="</s>" ,						__lowerCamelCase="<unk>" ,						__lowerCamelCase="<sep>" ,						__lowerCamelCase="<pad>" ,						__lowerCamelCase="<cls>" ,						__lowerCamelCase="<mask>" ,						__lowerCamelCase=["<eop>", "<eod>"] ,						__lowerCamelCase = None ,						**__lowerCamelCase ,						):



     '''simple docstring'''




     __A   :						Union[str, Any]									=					AddedToken(__lowerCamelCase ,						lstrip=__lowerCamelCase ,						rstrip=__lowerCamelCase  ) if isinstance(__lowerCamelCase ,						__lowerCamelCase  ) else mask_token

     __A   :						Any									=					{} if sp_model_kwargs is None else sp_model_kwargs

     super().__init__(
         do_lower_case=__lowerCamelCase ,						remove_space=__lowerCamelCase ,						keep_accents=__lowerCamelCase ,						bos_token=__lowerCamelCase ,						eos_token=__lowerCamelCase ,						unk_token=__lowerCamelCase ,						sep_token=__lowerCamelCase ,						pad_token=__lowerCamelCase ,						cls_token=__lowerCamelCase ,						mask_token=__lowerCamelCase ,						additional_special_tokens=__lowerCamelCase ,						sp_model_kwargs=self.sp_model_kwargs ,						**__lowerCamelCase ,						)

     __A   :						int									=					3

     __A   :						Dict									=					do_lower_case
     __A   :						Dict									=					remove_space
     __A   :						Dict									=					keep_accents
     __A   :						List[Any]									=					vocab_file

     __A   :						Optional[int]									=					spm.SentencePieceProcessor(**self.sp_model_kwargs  )
     self.sp_model.Load(__lowerCamelCase  )

     try:
         import jieba
     except ModuleNotFoundError as error:
         raise error.__class__(
             '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
             '''See https://pypi.org/project/jieba/ for installation.'''  )
     __A   :						Any									=					jieba
     __A   :						Dict									=					str.maketrans(''' \n''' ,						'''\u2582\u2583'''  )

 @property
 # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     return len(self.sp_model  )

 def  UpperCamelCase__(   self  ):



     '''simple docstring'''




     __A   :						Optional[Any]									=					{self.convert_ids_to_tokens(__lowerCamelCase  ): i for i in range(self.vocab_size  )}
     vocab.update(self.added_tokens_encoder  )
     return vocab

 def __getstate__(   self  ):



     '''simple docstring'''




     __A   :						Any									=					self.__dict__.copy()
     __A   :						Optional[int]									=					None
     return state

 def __setstate__(   self ,						__lowerCamelCase  ):



     '''simple docstring'''




     __A   :						List[Any]									=					d

     # for backward compatibility
     if not hasattr(self ,						'''sp_model_kwargs'''  ):
         __A   :						Any									=					{}

     __A   :						Any									=					spm.SentencePieceProcessor(**self.sp_model_kwargs  )
     self.sp_model.Load(self.vocab_file  )

 def  UpperCamelCase__(   self ,						__lowerCamelCase  ):



     '''simple docstring'''




     if self.remove_space:
         __A   :						int									=					''' '''.join(inputs.strip().split()  )
     else:
         __A   :						Optional[Any]									=					inputs
     __A   :						Dict									=					outputs.replace('''``''' ,						'''"'''  ).replace('''\'\'''' ,						'''"'''  )

     if not self.keep_accents:
         __A   :						List[str]									=					unicodedata.normalize('''NFKD''' ,						__lowerCamelCase  )
         __A   :						Any									=					''''''.join([c for c in outputs if not unicodedata.combining(__lowerCamelCase  )]  )
     if self.do_lower_case:
         __A   :						str									=					outputs.lower()

     return outputs

 def  UpperCamelCase__(   self ,						__lowerCamelCase  ):



     '''simple docstring'''




     __A   :						int									=					self.preprocess_text(__lowerCamelCase  )
     __A   :						List[Any]									=					self.sp_model.encode(__lowerCamelCase ,						out_type=__lowerCamelCase  )
     __A   :						str									=					[]
     for piece in pieces:
         if len(__lowerCamelCase  ) > 1 and piece[-1] == str(''','''  ) and piece[-2].isdigit():
             __A   :						Optional[int]									=					self.sp_model.EncodeAsPieces(piece[:-1].replace(__lowerCamelCase ,						''''''  )  )
             if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                 if len(cur_pieces[0]  ) == 1:
                     __A   :						str									=					cur_pieces[1:]
                 else:
                     __A   :						Dict									=					cur_pieces[0][1:]
             cur_pieces.append(piece[-1]  )
             new_pieces.extend(__lowerCamelCase  )
         else:
             new_pieces.append(__lowerCamelCase  )

     return new_pieces

 def  UpperCamelCase__(   self ,						__lowerCamelCase  ):



     '''simple docstring'''




     return self.sp_model.PieceToId(__lowerCamelCase  )

 def  UpperCamelCase__(   self ,						__lowerCamelCase  ):



     '''simple docstring'''




     return self.sp_model.IdToPiece(__lowerCamelCase  )

 def  UpperCamelCase__(   self ,						__lowerCamelCase  ):



     '''simple docstring'''




     __A   :						Optional[Any]									=					''''''.join(__lowerCamelCase  ).replace(__lowerCamelCase ,						''' '''  ).strip()
     return out_string

 def  UpperCamelCase__(   self ,						__lowerCamelCase ,						__lowerCamelCase = None  ):



     '''simple docstring'''




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

 def  UpperCamelCase__(   self ,						__lowerCamelCase ,						__lowerCamelCase = None ,						__lowerCamelCase = False  ):



     '''simple docstring'''




     if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=__lowerCamelCase ,						token_ids_a=__lowerCamelCase ,						already_has_special_tokens=__lowerCamelCase  )

     if token_ids_a is not None:
         return ([0] * len(__lowerCamelCase  )) + [1] + ([0] * len(__lowerCamelCase  )) + [1, 1]
     return ([0] * len(__lowerCamelCase  )) + [1, 1]

 def  UpperCamelCase__(   self ,						__lowerCamelCase ,						__lowerCamelCase = None  ):



     '''simple docstring'''




     __A   :						List[Any]									=					[self.sep_token_id]
     __A   :						int									=					[2]

     if token_ids_a is None:
         return len(token_ids_a + sep  ) * [0] + cls_segment_id
     return len(token_ids_a + sep  ) * [0] + len(token_ids_a + sep  ) * [1] + cls_segment_id

 def  UpperCamelCase__(   self ,						__lowerCamelCase ,						__lowerCamelCase = None  ):



     '''simple docstring'''




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

     if os.path.abspath(self.vocab_file  ) != os.path.abspath(__lowerCamelCase  ) and os.path.isfile(self.vocab_file  ):
         copyfile(self.vocab_file ,						__lowerCamelCase  )
     elif not os.path.isfile(self.vocab_file  ):
         with open(__lowerCamelCase ,						'''wb'''  ) as fi:
             __A   :						Union[str, Any]									=					self.sp_model.serialized_model_proto()
             fi.write(__lowerCamelCase  )

     return (out_vocab_file,)







 def  UpperCamelCase__(   self ,						*__lowerCamelCase ,						**__lowerCamelCase  ):



     '''simple docstring'''




     __A   :						List[str]									=					super()._decode(*__lowerCamelCase ,						**__lowerCamelCase  )
     __A   :						Tuple									=					text.replace(''' ''' ,						''''''  ).replace('''\u2582''' ,						''' '''  ).replace('''\u2583''' ,						'''\n'''  )
     return text











"""simple docstring"""



import math
from collections.abc import Iterator
from itertools import takewhile







def 		__lowercase					(       snake_case_  :  int						)       ->bool:



    '''simple docstring'''







    if 1 < number < 4:
        # 2 and 3 are primes
        return True
    elif number < 2 or number % 2 == 0 or number % 3 == 0:
        # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
        return False

    # All primes number are in format of 6k +/- 1
    for i in range(5    ,int(math.sqrt(snake_case_						) + 1						)    ,6						):
        if number % i == 0 or number % (i + 2) == 0:
            return False
    return True







def 		__lowercase					(       )       ->Iterator[int]:



    '''simple docstring'''







    __A   :						int									=					2
    while True:
        if is_prime(snake_case_						):
            yield num
        num += 1







def 		__lowercase					(       snake_case_  :  int = 2000000						)       ->int:



    '''simple docstring'''







    return sum(takewhile(lambda snake_case_						: x < n    ,prime_generator()						)						)


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




