


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_pegasus import PegasusTokenizer
else:
  SCREAMING_SNAKE_CASE							    =							None


SCREAMING_SNAKE_CASE							    =							logging.get_logger(__name__)


SCREAMING_SNAKE_CASE							    =							'▁'

SCREAMING_SNAKE_CASE							    =							{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

SCREAMING_SNAKE_CASE							    =							{
    'vocab_file': {'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model'},
    'tokenizer_file': {
        'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json'
    },
}

SCREAMING_SNAKE_CASE							    =							{
    'google/pegasus-xsum': 5_1_2,
}


class     __UpperCAmelCase							(       __A							):


     """simple docstring"""
     _lowerCamelCase   =      VOCAB_FILES_NAMES
     _lowerCamelCase   =      PRETRAINED_VOCAB_FILES_MAP
     _lowerCamelCase   =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _lowerCamelCase   =      PegasusTokenizer
     _lowerCamelCase   =      ["""input_ids""", """attention_mask"""]


     def __init__(	self  ,       __A=None  ,       __A=None  ,       __A="<pad>"  ,       __A="</s>"  ,       __A="<unk>"  ,       __A="<mask_2>"  ,       __A="<mask_1>"  ,       __A=None  ,       __A=103  ,       **__A  ,       ):
        __a					=  offset

        if additional_special_tokens is not None:
           if not isinstance(__A  ,       __A    ):
              raise TypeError(
                  f'''additional_special_tokens should be of type {type(__A    )}, but is'''
                  f''' {type(__A    )}'''    )

           __a					=  (
               ([mask_token_sent] + additional_special_tokens)
               if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
               else additional_special_tokens
           )
           # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
           additional_special_tokens_extended += [
               f'''<unk_{i}>''' for i in range(len(__A    )  ,       self.offset - 1    )
           ]

           if len(set(__A    )    ) != len(__A    ):
              raise ValueError(
                  """Please make sure that the provided additional_special_tokens do not contain an incorrectly"""
                  f''' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.'''    )
           __a					=  additional_special_tokens_extended
        else:
           __a					=  [mask_token_sent] if mask_token_sent is not None else []
           additional_special_tokens += [f'''<unk_{i}>''' for i in range(2  ,       self.offset    )]

        super().__init__(
            __A  ,       tokenizer_file=__A  ,       pad_token=__A  ,       eos_token=__A  ,       unk_token=__A  ,       mask_token=__A  ,       mask_token_sent=__A  ,       offset=__A  ,       additional_special_tokens=__A  ,       **__A  ,       )
        __a					=  vocab_file
        __a					=  False if not self.vocab_file else True


     def 	snake_case_  (	self  ,       __A    ):
        __a					=  set(self.all_special_ids    )  # call it once instead of inside list comp
        all_special_ids.remove(self.unk_token_id    )  # <unk> is only sometimes special

        if all_special_ids != set(range(len(self.additional_special_tokens    ) + 3    )    ):
           raise ValueError(
               """There should be 3 special tokens: mask_token, pad_token, and eos_token +"""
               f''' {len(self.additional_special_tokens    )} additional_special_tokens, but got {all_special_ids}'''    )

        return [1 if x in all_special_ids else 0 for x in seq]


     def 	snake_case_  (	self  ,       __A  ,       __A = None  ,       __A = False    ):
        if already_has_special_tokens:
           return self._special_token_mask(__A    )
        elif token_ids_a is None:
           return self._special_token_mask(__A    ) + [1]
        else:
           return self._special_token_mask(token_ids_a + token_ids_a    ) + [1]


     def 	snake_case_  (	self  ,       __A  ,       __A=None    ):
        if token_ids_a is None:
           return token_ids_a + [self.eos_token_id]
        # We don't expect to process pairs, but leave the pair logic for API consistency
        return token_ids_a + token_ids_a + [self.eos_token_id]


     def 	snake_case_  (	self  ,       __A  ,       __A = None    ):
        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(__A    ):
           logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''    )
           return
        __a					=  os.path.join(
            __A  ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]    )

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

        return (out_vocab_file,)







import math




def  a   (lowerCAmelCase__   ):

   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(lowerCAmelCase__   ) + 1   )		,				6   ):
      if number % i == 0 or number % (i + 2) == 0:
         return False
   return True




def  a   (lowerCAmelCase__ = 10_001   ):

   try:
      __a					=  int(lowerCAmelCase__   )
   except (TypeError, ValueError):
      raise TypeError("""Parameter nth must be int or castable to int."""   ) from None
   if nth <= 0:
      raise ValueError("""Parameter nth must be greater than or equal to one."""   )
   __a					=  []
   __a					=  2
   while len(lowerCAmelCase__   ) < nth:
      if is_prime(lowerCAmelCase__   ):
         primes.append(lowerCAmelCase__   )
         num += 1
      else:
         num += 1
   return primes[len(lowerCAmelCase__   ) - 1]


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



