"""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_albert import AlbertTokenizer
else:
    UpperCAmelCase__			=    None

UpperCAmelCase__			=    logging.get_logger(__name__)
UpperCAmelCase__			=    {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase__			=    {
    """vocab_file""": {
        """albert-base-v1""": """https://huggingface.co/albert-base-v1/resolve/main/spiece.model""",
        """albert-large-v1""": """https://huggingface.co/albert-large-v1/resolve/main/spiece.model""",
        """albert-xlarge-v1""": """https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model""",
        """albert-xxlarge-v1""": """https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model""",
        """albert-base-v2""": """https://huggingface.co/albert-base-v2/resolve/main/spiece.model""",
        """albert-large-v2""": """https://huggingface.co/albert-large-v2/resolve/main/spiece.model""",
        """albert-xlarge-v2""": """https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model""",
        """albert-xxlarge-v2""": """https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """albert-base-v1""": """https://huggingface.co/albert-base-v1/resolve/main/tokenizer.json""",
        """albert-large-v1""": """https://huggingface.co/albert-large-v1/resolve/main/tokenizer.json""",
        """albert-xlarge-v1""": """https://huggingface.co/albert-xlarge-v1/resolve/main/tokenizer.json""",
        """albert-xxlarge-v1""": """https://huggingface.co/albert-xxlarge-v1/resolve/main/tokenizer.json""",
        """albert-base-v2""": """https://huggingface.co/albert-base-v2/resolve/main/tokenizer.json""",
        """albert-large-v2""": """https://huggingface.co/albert-large-v2/resolve/main/tokenizer.json""",
        """albert-xlarge-v2""": """https://huggingface.co/albert-xlarge-v2/resolve/main/tokenizer.json""",
        """albert-xxlarge-v2""": """https://huggingface.co/albert-xxlarge-v2/resolve/main/tokenizer.json""",
    },
}

UpperCAmelCase__			=    {
    """albert-base-v1""": 5_1_2,
    """albert-large-v1""": 5_1_2,
    """albert-xlarge-v1""": 5_1_2,
    """albert-xxlarge-v1""": 5_1_2,
    """albert-base-v2""": 5_1_2,
    """albert-large-v2""": 5_1_2,
    """albert-xlarge-v2""": 5_1_2,
    """albert-xxlarge-v2""": 5_1_2,
}

UpperCAmelCase__			=    """▁"""


class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	Union[str, Any]  				=				VOCAB_FILES_NAMES
    _snake_case  :	str  				=				PRETRAINED_VOCAB_FILES_MAP
    _snake_case  :	Any  				=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _snake_case  :	Optional[Any]  				=				AlbertTokenizer


    def __init__(       self						:	Optional[Any] ,					__lowerCAmelCase						:	Any=None ,					__lowerCAmelCase						:	List[str]=None ,					__lowerCAmelCase						:	List[Any]=True ,					__lowerCAmelCase						:	str=True ,					__lowerCAmelCase						:	Union[str, Any]=False ,					__lowerCAmelCase						:	Optional[int]="[CLS]" ,					__lowerCAmelCase						:	Any="[SEP]" ,					__lowerCAmelCase						:	int="<unk>" ,					__lowerCAmelCase						:	int="[SEP]" ,					__lowerCAmelCase						:	str="<pad>" ,					__lowerCAmelCase						:	Tuple="[CLS]" ,					__lowerCAmelCase						:	List[Any]="[MASK]" ,					**__lowerCAmelCase						:	Dict ,					):
      # Mask token behave like a normal word, i.e. include the space before it and
      # is included in the raw text, there should be a match in a non-normalized sentence.
      _UpperCAmelCase    			=   (
          AddedToken(__lowerCAmelCase ,					lstrip=__lowerCAmelCase ,					rstrip=__lowerCAmelCase ,					normalized=__lowerCAmelCase       )
          if isinstance(__lowerCAmelCase ,					__lowerCAmelCase       )
          else mask_token
      )

      super().__init__(
          __lowerCAmelCase ,					tokenizer_file=__lowerCAmelCase ,					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 ,					**__lowerCAmelCase ,					)

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


    def   lowerCAmelCase_	(       self						:	Union[str, Any] ,					__lowerCAmelCase						:	List[int] ,					__lowerCAmelCase						:	Optional[List[int]] = None       ):
      _UpperCAmelCase    			=   [self.sep_token_id]
      _UpperCAmelCase    			=   [self.cls_token_id]
      if token_ids_a is None:
        return cls + token_ids_a + sep
      return cls + token_ids_a + sep + token_ids_a + sep


    def   lowerCAmelCase_	(       self						:	Optional[Any] ,					__lowerCAmelCase						:	List[int] ,					__lowerCAmelCase						:	Optional[List[int]] = None       ):
      _UpperCAmelCase    			=   [self.sep_token_id]
      _UpperCAmelCase    			=   [self.cls_token_id]

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


    def   lowerCAmelCase_	(       self						:	List[Any] ,					__lowerCAmelCase						:	str ,					__lowerCAmelCase						:	Optional[str] = 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(__lowerCAmelCase       ):
        logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
        return
      _UpperCAmelCase    			=   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       ):
        copyfile(self.vocab_file ,					__lowerCAmelCase       )

      return (out_vocab_file,)

"""simple docstring"""


from math import isqrt






def      __UpperCAmelCase       (      lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   [True] * max_number
  for i in range(2 ,isqrt(max_number - 1		) + 1		):
    if is_prime[i]:
      for j in range(i**2 ,lowercase ,lowercase		):
        _UpperCAmelCase    			=   False

  return [i for i in range(2 ,lowercase		) if is_prime[i]]






def      __UpperCAmelCase       (      lowercase = 10**8		):







  """simple docstring"""
  _UpperCAmelCase    			=   calculate_prime_numbers(max_number // 2		)

  _UpperCAmelCase    			=   0
  _UpperCAmelCase    			=   0
  _UpperCAmelCase    			=   len(lowercase		) - 1
  while left <= right:
    while prime_numbers[left] * prime_numbers[right] >= max_number:
      right -= 1
    semiprimes_count += right - left + 1
    left += 1

  return semiprimes_count


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