


import os
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 logging


lowerCamelCase		   =			logging.get_logger(__name__)

lowerCamelCase		   =			{'vocab_file': 'sentencepiece.bpe.model'}

lowerCamelCase		   =			{
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    }
}

lowerCamelCase		   =			{
    'camembert-base': 5_12,
}

lowerCamelCase		   =			'▁'




class A    (  UpperCamelCase_	):
      UpperCamelCase__				:    Optional[int] =VOCAB_FILES_NAMES
      UpperCamelCase__				:    Optional[int] =PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase__				:    Union[str, Any] =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase__				:    Optional[int] =['input_ids', 'attention_mask']






      def __init__(   self		:	List[Any]     ,  lowercase_		:	Union[str, Any]     ,  lowercase_		:	Tuple="<s>"     ,  lowercase_		:	Union[str, Any]="</s>"     ,  lowercase_		:	Tuple="</s>"     ,  lowercase_		:	Optional[int]="<s>"     ,  lowercase_		:	Dict="<unk>"     ,  lowercase_		:	Optional[Any]="<pad>"     ,  lowercase_		:	Optional[Any]="<mask>"     ,  lowercase_		:	Dict=["<s>NOTUSED", "</s>NOTUSED"]     ,  lowercase_		:	Optional[Dict[str, Any]] = None     ,  **lowercase_		:	int     ,  )   ->		None:
             """simple docstring"""




             _lowerCamelCase			:						Union[str, Any]            =AddedToken(lowercase_     ,  lstrip=lowercase_     ,  rstrip=lowercase_					) if isinstance(lowercase_     ,  lowercase_					) else mask_token

             _lowerCamelCase			:						List[str]            ={} if sp_model_kwargs is None else sp_model_kwargs

             super().__init__(
                 bos_token=lowercase_     ,  eos_token=lowercase_     ,  unk_token=lowercase_     ,  sep_token=lowercase_     ,  cls_token=lowercase_     ,  pad_token=lowercase_     ,  mask_token=lowercase_     ,  additional_special_tokens=lowercase_     ,  sp_model_kwargs=self.sp_model_kwargs     ,  **lowercase_     ,  )
             _lowerCamelCase			:						Optional[Any]            =spm.SentencePieceProcessor(**self.sp_model_kwargs					)
             self.sp_model.Load(str(lowercase_					)					)
             _lowerCamelCase			:						List[str]            =vocab_file
             # HACK: These tokens were added by fairseq but don't seem to be actually used when duplicated in the actual
             # sentencepiece vocabulary (this is the case for <s> and </s>
             _lowerCamelCase			:						str            ={'<s>NOTUSED': 0, '<pad>': 1, '</s>NOTUSED': 2, '<unk>': 3}
             _lowerCamelCase			:						Optional[Any]            =len(self.fairseq_tokens_to_ids					)
             _lowerCamelCase			:						List[str]            =len(self.sp_model					) + len(self.fairseq_tokens_to_ids					)
             _lowerCamelCase			:						Union[str, Any]            ={v: k for k, v in self.fairseq_tokens_to_ids.items()}






      def 			lowerCamelCase			(   self		:	Tuple     ,  lowercase_		:	List[int]     ,  lowercase_		:	Optional[List[int]] = None					)   ->		List[int]:
             """simple docstring"""




             if token_ids_a is None:
                    return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
             _lowerCamelCase			:						Any            =[self.cls_token_id]
             _lowerCamelCase			:						Dict            =[self.sep_token_id]
             return cls + token_ids_a + sep + sep + token_ids_a + sep






      def 			lowerCamelCase			(   self		:	Optional[Any]     ,  lowercase_		:	List[int]     ,  lowercase_		:	Optional[List[int]] = None     ,  lowercase_		:	bool = False					)   ->		List[int]:
             """simple docstring"""




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

             if token_ids_a is None:
                    return [1] + ([0] * len(lowercase_					)) + [1]
             return [1] + ([0] * len(lowercase_					)) + [1, 1] + ([0] * len(lowercase_					)) + [1]






      def 			lowerCamelCase			(   self		:	Optional[Any]     ,  lowercase_		:	List[int]     ,  lowercase_		:	Optional[List[int]] = None					)   ->		List[int]:
             """simple docstring"""




             _lowerCamelCase			:						Tuple            =[self.sep_token_id]
             _lowerCamelCase			:						str            =[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 + sep + token_ids_a + sep					) * [0]






      @property
      def 			lowerCamelCase			(   self		:	Tuple					)   ->		str:
             """simple docstring"""




             return len(self.fairseq_tokens_to_ids					) + len(self.sp_model					)






      def 			lowerCamelCase			(   self		:	Union[str, Any]					)   ->		Tuple:
             """simple docstring"""




             _lowerCamelCase			:						Optional[int]            ={self.convert_ids_to_tokens(lowercase_					): i for i in range(self.vocab_size					)}
             vocab.update(self.added_tokens_encoder					)
             return vocab






      def 			lowerCamelCase			(   self		:	Optional[int]     ,  lowercase_		:	str					)   ->		List[str]:
             """simple docstring"""




             return self.sp_model.encode(lowercase_     ,  out_type=lowercase_					)






      def 			lowerCamelCase			(   self		:	Any     ,  lowercase_		:	List[str]					)   ->		Union[str, Any]:
             """simple docstring"""




             if token in self.fairseq_tokens_to_ids:
                    return self.fairseq_tokens_to_ids[token]
             elif self.sp_model.PieceToId(lowercase_					) == 0:
                    # Convert sentence piece unk token to fairseq unk token index
                    return self.unk_token_id
             return self.fairseq_offset + self.sp_model.PieceToId(lowercase_					)






      def 			lowerCamelCase			(   self		:	List[Any]     ,  lowercase_		:	Optional[int]					)   ->		Union[str, Any]:
             """simple docstring"""




             if index in self.fairseq_ids_to_tokens:
                    return self.fairseq_ids_to_tokens[index]
             return self.sp_model.IdToPiece(index - self.fairseq_offset					)






      def 			lowerCamelCase			(   self		:	Tuple     ,  lowercase_		:	Optional[int]					)   ->		List[Any]:
             """simple docstring"""




             _lowerCamelCase			:						int            =[]
             _lowerCamelCase			:						Optional[int]            =''
             _lowerCamelCase			:						Optional[int]            =False
             for token in tokens:
                    # make sure that special tokens are not decoded using sentencepiece model
                    if token in self.all_special_tokens:
                           if not prev_is_special:
                                  out_string += " "
                           out_string += self.sp_model.decode(lowercase_					) + token
                           _lowerCamelCase			:						Dict            =True
                           _lowerCamelCase			:						Tuple            =[]
                    else:
                           current_sub_tokens.append(lowercase_					)
                           _lowerCamelCase			:						Tuple            =False
             out_string += self.sp_model.decode(lowercase_					)
             return out_string.strip()






      def __getstate__(   self		:	int					)   ->		str:
             """simple docstring"""




             _lowerCamelCase			:						List[Any]            =self.__dict__.copy()
             _lowerCamelCase			:						Optional[Any]            =None
             return state






      def __setstate__(   self		:	int     ,  lowercase_		:	Dict					)   ->		Optional[int]:
             """simple docstring"""




             _lowerCamelCase			:						str            =d

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

             _lowerCamelCase			:						Tuple            =spm.SentencePieceProcessor(**self.sp_model_kwargs					)
             self.sp_model.Load(self.vocab_file					)






      def 			lowerCamelCase			(   self		:	Union[str, Any]     ,  lowercase_		:	str     ,  lowercase_		:	Optional[str] = None					)   ->		Tuple[str]:
             """simple docstring"""




             if not os.path.isdir(lowercase_					):
                    logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
                    return
             _lowerCamelCase			:						List[str]            =os.path.join(
                 lowercase_     ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)

             if os.path.abspath(self.vocab_file					) != os.path.abspath(lowercase_					) and os.path.isfile(self.vocab_file					):
                    copyfile(self.vocab_file     ,  lowercase_					)
             elif not os.path.isfile(self.vocab_file					):
                    with open(lowercase_     ,  'wb'					) as fi:
                           _lowerCamelCase			:						str            =self.sp_model.serialized_model_proto()
                           fi.write(lowercase_					)

             return (out_vocab_file,)






from math import isqrt




def       a_ (       SCREAMING_SNAKE_CASE__   : int	):
       '''simple docstring'''





       _lowerCamelCase			:						Optional[int]            =[True] * max_number
       for i in range(2						,     isqrt(max_number - 1	) + 1	):
              if is_prime[i]:
                     for j in range(i**2						,     SCREAMING_SNAKE_CASE__						,     SCREAMING_SNAKE_CASE__	):
                            _lowerCamelCase			:						str            =False

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




def       a_ (       SCREAMING_SNAKE_CASE__   : int = 10**8	):
       '''simple docstring'''





       _lowerCamelCase			:						Union[str, Any]            =calculate_prime_numbers(max_number // 2	)

       _lowerCamelCase			:						Dict            =0
       _lowerCamelCase			:						int            =0
       _lowerCamelCase			:						Optional[Any]            =len(SCREAMING_SNAKE_CASE__	) - 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() = }""")


