


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


UpperCAmelCase__   	=							logging.get_logger(__name__)

UpperCAmelCase__   	=							{'''vocab_file''': '''spiece.model'''}

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







class       lowerCamelCase__   (       __SCREAMING_SNAKE_CASE):





     def __init__(self		,     UpperCAmelCase		,     UpperCAmelCase=False		,     UpperCAmelCase=True		,     UpperCAmelCase=False		,     UpperCAmelCase="<s>"		,     UpperCAmelCase="</s>"		,     UpperCAmelCase="<unk>"		,     UpperCAmelCase="<sep>"		,     UpperCAmelCase="<pad>"		,     UpperCAmelCase="<cls>"		,     UpperCAmelCase="<mask>"		,     UpperCAmelCase=["<eop>", "<eod>"]		,     UpperCAmelCase = None		,     **UpperCAmelCase		,     )     ->   None:
      _lowercase							      =AddedToken(UpperCAmelCase_		,     lstrip=UpperCAmelCase_		,     rstrip=UpperCAmelCase_       ) if isinstance(UpperCAmelCase_		,     UpperCAmelCase_       ) else mask_token

      _lowercase							      ={} if sp_model_kwargs is None else sp_model_kwargs

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

      _lowercase							      =3

      _lowercase							      =do_lower_case
      _lowercase							      =remove_space
      _lowercase							      =keep_accents
      _lowercase							      =vocab_file

      _lowercase							      =spm.SentencePieceProcessor(**self.sp_model_kwargs       )
      self.sp_model.Load(UpperCAmelCase_       )

      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.'''       )
      _lowercase							      =jieba
      _lowercase							      =str.maketrans(''' \n'''		,     '''\u2582\u2583'''       )





     @property
     # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
     def      __A					(self       )     ->   Optional[int]:
      return len(self.sp_model       )





     def      __A					(self       )     ->   Union[str, Any]:
      _lowercase							      ={self.convert_ids_to_tokens(UpperCAmelCase_       ): i for i in range(self.vocab_size       )}
      vocab.update(self.added_tokens_encoder       )
      return vocab





     def __getstate__(self       )     ->   Optional[Any]:
      _lowercase							      =self.__dict__.copy()
      _lowercase							      =None
      return state





     def __setstate__(self		,     UpperCAmelCase       )     ->   int:
      _lowercase							      =d

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

      _lowercase							      =spm.SentencePieceProcessor(**self.sp_model_kwargs       )
      self.sp_model.Load(self.vocab_file       )





     def      __A					(self		,     UpperCAmelCase       )     ->   Union[str, Any]:



      if self.remove_space:
       _lowercase							      =" ".join(inputs.strip().split()       )
      else:
       _lowercase							      =inputs
      _lowercase							      =outputs.replace('''``'''		,     '''\"'''       ).replace('''\'\''''		,     '''\"'''       )

      if not self.keep_accents:
       _lowercase							      =unicodedata.normalize('''NFKD'''		,     UpperCAmelCase_       )
       _lowercase							      ="".join([c for c in outputs if not unicodedata.combining(UpperCAmelCase_       )]       )
      if self.do_lower_case:
       _lowercase							      =outputs.lower()

      return outputs





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

      return new_pieces





     def      __A					(self		,     UpperCAmelCase       )     ->   Tuple:
      return self.sp_model.PieceToId(UpperCAmelCase_       )





     def      __A					(self		,     UpperCAmelCase       )     ->   List[Any]:
      return self.sp_model.IdToPiece(UpperCAmelCase_       )





     def      __A					(self		,     UpperCAmelCase       )     ->   Tuple:
      _lowercase							      ="".join(UpperCAmelCase_       ).replace(UpperCAmelCase_		,     ''' '''       ).strip()
      return out_string





     def      __A					(self		,     UpperCAmelCase		,     UpperCAmelCase = None       )     ->   List[int]:
      _lowercase							      =[self.sep_token_id]
      _lowercase							      =[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      __A					(self		,     UpperCAmelCase		,     UpperCAmelCase = None		,     UpperCAmelCase = False       )     ->   List[int]:



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

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





     def      __A					(self		,     UpperCAmelCase		,     UpperCAmelCase = None       )     ->   List[int]:
      _lowercase							      =[self.sep_token_id]
      _lowercase							      =[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      __A					(self		,     UpperCAmelCase		,     UpperCAmelCase = None       )     ->   Tuple[str]:



      if not os.path.isdir(UpperCAmelCase_       ):
       logger.error(f"Vocabulary path ({save_directory}) should be a directory"       )
       return
      _lowercase							      =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_       ) and os.path.isfile(self.vocab_file       ):
       copyfile(self.vocab_file		,     UpperCAmelCase_       )
      elif not os.path.isfile(self.vocab_file       ):
       with open(UpperCAmelCase_		,     '''wb'''       ) as fi:
        _lowercase							      =self.sp_model.serialized_model_proto()
        fi.write(UpperCAmelCase_       )

      return (out_vocab_file,)





     def      __A					(self		,     *UpperCAmelCase		,     **UpperCAmelCase       )     ->   Dict:
      _lowercase							      =super()._decode(*UpperCAmelCase_		,     **UpperCAmelCase_       )
      _lowercase							      =text.replace(''' '''		,     ''''''       ).replace('''\u2582'''		,     ''' '''       ).replace('''\u2583'''		,     '''\n'''       )
      return text








import itertools
import math





def      lowerCAmelCase_ (       __a		)     ->		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(__a		) + 1		)	,    6		):
    if number % i == 0 or number % (i + 2) == 0:
      return False
  return True





def      lowerCAmelCase_ (       )     ->		str:







  """simple docstring"""





  lowerCamelCase__:      Optional[int]			  =2
  while True:
    if is_prime(__a		):
      yield num
    num += 1





def      lowerCAmelCase_ (       __a = 10001		)     ->		int:







  """simple docstring"""





  return next(itertools.islice(prime_generator()	,    nth - 1	,    __a		)		)


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

