"""simple docstring"""


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_xlnet import XLNetTokenizer
else:
 lowerCAmelCase_:					str     =					None


lowerCAmelCase_:					List[Any]     =					logging.get_logger(__name__)

lowerCAmelCase_:					Tuple     =					{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

lowerCAmelCase_:					int     =					{
    "vocab_file": {
        "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model",
        "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json",
        "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json",
    },
}

lowerCAmelCase_:					int     =					{
    "xlnet-base-cased": None,
    "xlnet-large-cased": None,
}

lowerCAmelCase_:					List[str]     =					"▁"

# Segments (not really needed)
lowerCAmelCase_:					List[str]     =					0
lowerCAmelCase_:					List[str]     =					1
lowerCAmelCase_:					int     =					2
lowerCAmelCase_:					Union[str, Any]     =					3
lowerCAmelCase_:					Tuple     =					4






class    a__    (   _a	):
   snake_case_							=      VOCAB_FILES_NAMES
   snake_case_							=      PRETRAINED_VOCAB_FILES_MAP
   snake_case_							=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   snake_case_							=      "left"
   snake_case_							=      XLNetTokenizer


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



        lowercase__				 =							AddedToken(_UpperCAmelCase,				lstrip=_UpperCAmelCase,				rstrip=_UpperCAmelCase  ) if isinstance(_UpperCAmelCase,				_UpperCAmelCase  ) else mask_token

        super().__init__(
            vocab_file=_UpperCAmelCase,				tokenizer_file=_UpperCAmelCase,				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,				**_UpperCAmelCase,				)

        lowercase__				 =							3
        lowercase__				 =							do_lower_case
        lowercase__				 =							remove_space
        lowercase__				 =							keep_accents
        lowercase__				 =							vocab_file
        lowercase__				 =							False if not self.vocab_file else True


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase = None  ):
        '''simple docstring'''



        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 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase = None  ):
        '''simple docstring'''



        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 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase = None  ):
        '''simple docstring'''



        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
        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  ):
             copyfile(self.vocab_file,				_UpperCAmelCase  )

        return (out_vocab_file,)





"""simple docstring"""


import itertools
import math







def 					__a   (		A      ):






     '''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 					__a   (		):






     '''simple docstring'''



     lowercase__				 =							2
     while True:
          if is_prime(A      ):
               yield num
          num += 1







def 					__a   (		A = 1_00_01      ):






     '''simple docstring'''



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


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




