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

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


if is_sentencepiece_available():
 from .tokenization_reformer import ReformerTokenizer
else:
 _snake_case		  =   None


_snake_case		  =   logging.get_logger(__name__)


_snake_case		  =   "▁"

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

_snake_case		  =   {
    "vocab_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
        )
    },
    "tokenizer_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json"
        )
    },
}

_snake_case		  =   {
    "google/reformer-crime-and-punishment": 52_42_88,
}


class 			UpperCamelCase_				(  A     ):




      '''simple docstring'''







      a		:Any						 =      VOCAB_FILES_NAMES
      a		:Tuple						 =      PRETRAINED_VOCAB_FILES_MAP
      a		:int						 =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a		:Optional[int]						 =      ['input_ids', 'attention_mask']
      a		:Optional[Any]						 =      ReformerTokenizer







      def __init__( self					,					_UpperCAmelCase=None					,					_UpperCAmelCase=None					,					_UpperCAmelCase="</s>"					,					_UpperCAmelCase="<unk>"					,					_UpperCAmelCase=[]					,					**_UpperCAmelCase					,					):
            super().__init__(
                _UpperCAmelCase					,					tokenizer_file=_UpperCAmelCase					,					eos_token=_UpperCAmelCase					,					unk_token=_UpperCAmelCase					,					additional_special_tokens=_UpperCAmelCase					,					**_UpperCAmelCase					,					)

            lowerCAmelCase_						=      vocab_file
            lowerCAmelCase_						=      False if not self.vocab_file else True







      def lowercase__		( self					,					_UpperCAmelCase					,					_UpperCAmelCase = 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(_UpperCAmelCase):
                  logger.error(f'Vocabulary path ({save_directory}) should be a directory')
                  return
            lowerCAmelCase_						=      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,)





import math
def lowerCamelCase_       (			A			:      int						):




      """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_       (			A			:      int = 2_00_00_00						):




      """simple docstring"""
      return sum(num for num in range(3		,					A		,					2						) if is_prime(A						)						) + 2 if n > 2 else 0


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



