






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


_a    :   int        =			logging.get_logger(__name__)

_a    :   Dict        =			{"""vocab_file""": """sentencepiece.bpe.model"""}

_a    :   List[Any]        =			{
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
}

_a    :   List[Any]        =			{
    """moussaKam/mbarthez""": 1024,
    """moussaKam/barthez""": 1024,
    """moussaKam/barthez-orangesum-title""": 1024,
}

_a    :   Optional[int]        =			"""▁"""







class 	_UpperCAmelCase  (  UpperCAmelCase__		):




      """simple docstring"""



      A          =    VOCAB_FILES_NAMES
      A          =    PRETRAINED_VOCAB_FILES_MAP
      A          =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      A          =    ["input_ids", "attention_mask"]
      def __init__(   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase="<s>"    ,	_lowerCAmelCase="</s>"    ,	_lowerCAmelCase="</s>"    ,	_lowerCAmelCase="<s>"    ,	_lowerCAmelCase="<unk>"    ,	_lowerCAmelCase="<pad>"    ,	_lowerCAmelCase="<mask>"    ,	_lowerCAmelCase = None    ,	**_lowerCAmelCase    ,	):



          '''simple docstring'''
          lowerCAmelCase__   :Optional[Any]      							=				AddedToken(lowerCamelCase__    ,	lstrip=lowerCamelCase__    ,	rstrip=lowerCamelCase__		) if isinstance(lowerCamelCase__    ,	lowerCamelCase__		) else mask_token

          lowerCAmelCase__   :Union[str, Any]      							=				{} if sp_model_kwargs is None else sp_model_kwargs

          super().__init__(
              bos_token=lowerCamelCase__    ,	eos_token=lowerCamelCase__    ,	unk_token=lowerCamelCase__    ,	sep_token=lowerCamelCase__    ,	cls_token=lowerCamelCase__    ,	pad_token=lowerCamelCase__    ,	mask_token=lowerCamelCase__    ,	sp_model_kwargs=self.sp_model_kwargs    ,	**lowerCamelCase__    ,	)

          lowerCAmelCase__   :Tuple      							=				vocab_file
          lowerCAmelCase__   :int      							=				spm.SentencePieceProcessor(**self.sp_model_kwargs		)
          self.sp_model.Load(str(lowerCamelCase__		)		)

          lowerCAmelCase__   :List[Any]      							=				{"<s>": 0, "<pad>": 1, "</s>": 2, "<unk>": 3}

          lowerCAmelCase__   :List[str]      							=				len(self.sp_model		) - 1
          lowerCAmelCase__   :str      							=				{v: k for k, v in self.fairseq_tokens_to_ids.items()}
      def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase = None		):



          '''simple docstring'''







          if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          lowerCAmelCase__   :Optional[int]      							=				[self.cls_token_id]
          lowerCAmelCase__   :List[Any]      							=				[self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep
      def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase = None    ,	_lowerCAmelCase = False		):



          '''simple docstring'''







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

          if token_ids_a is None:
              return [1] + ([0] * len(lowerCamelCase__		)) + [1]
          return [1] + ([0] * len(lowerCamelCase__		)) + [1, 1] + ([0] * len(lowerCamelCase__		)) + [1]
      def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase = None		):



          '''simple docstring'''
          lowerCAmelCase__   :List[str]      							=				[self.sep_token_id]
          lowerCAmelCase__   :Tuple      							=				[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 			snake_case_      (   self		):



          '''simple docstring'''
          return len(self.sp_model		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Dict      							=				{self.convert_ids_to_tokens(lowerCamelCase__		): i for i in range(self.vocab_size		)}
          vocab.update(self.added_tokens_encoder		)
          return vocab
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          return self.sp_model.encode(lowerCamelCase__    ,	out_type=lowerCamelCase__		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''







          if token in self.fairseq_tokens_to_ids:
              return self.fairseq_tokens_to_ids[token]
          lowerCAmelCase__   :Optional[int]      							=				self.sp_model.PieceToId(lowerCamelCase__		)

          return spm_id if spm_id else self.unk_token_id
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''







          if index in self.fairseq_ids_to_tokens:
              return self.fairseq_ids_to_tokens[index]
          return self.sp_model.IdToPiece(lowerCamelCase__		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          lowerCAmelCase__   :List[str]      							=				[]
          lowerCAmelCase__   :Tuple      							=				""
          lowerCAmelCase__   :Optional[Any]      							=				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(lowerCamelCase__		) + token
                  lowerCAmelCase__   :str      							=				True
                  lowerCAmelCase__   :List[Any]      							=				[]
              else:
                  current_sub_tokens.append(lowerCamelCase__		)
                  lowerCAmelCase__   :Union[str, Any]      							=				False
          out_string += self.sp_model.decode(lowerCamelCase__		)
          return out_string.strip()
      def __getstate__(   self		):



          '''simple docstring'''
          lowerCAmelCase__   :int      							=				self.__dict__.copy()
          lowerCAmelCase__   :Optional[Any]      							=				None
          return state
      def __setstate__(   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          lowerCAmelCase__   :List[Any]      							=				d

          # for backward compatibility
          if not hasattr(self    ,	"sp_model_kwargs"		):
              lowerCAmelCase__   :str      							=				{}

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



      def 			snake_case_      (   self    ,	_lowerCAmelCase    ,	_lowerCAmelCase = None		):



          '''simple docstring'''







          if not os.path.isdir(lowerCamelCase__		):
              logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''		)
              return
          lowerCAmelCase__   :Any      							=				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__		) and os.path.isfile(self.vocab_file		):
              copyfile(self.vocab_file    ,	lowerCamelCase__		)
          elif not os.path.isfile(self.vocab_file		):
              with open(lowerCamelCase__    ,	"wb"		) as fi:
                  lowerCAmelCase__   :Optional[int]      							=				self.sp_model.serialized_model_proto()
                  fi.write(lowerCamelCase__		)

          return (out_vocab_file,)








from math import isqrt, loga


def 				snake_case__							(							UpperCAmelCase							:  int       ):
    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    ,			UpperCAmelCase    ,			UpperCAmelCase       ):
                lowerCAmelCase__   :int      							=				False

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


def 				snake_case__							(							UpperCAmelCase							:  int = 8_0_0_8_0_0    ,			UpperCAmelCase							:  int = 8_0_0_8_0_0       ):
    lowerCAmelCase__   :str      							=				degree * loga(UpperCAmelCase       )
    lowerCAmelCase__   :Any      							=				int(UpperCAmelCase       )
    lowerCAmelCase__   :List[Any]      							=				calculate_prime_numbers(UpperCAmelCase       )

    lowerCAmelCase__   :List[str]      							=				0
    lowerCAmelCase__   :List[str]      							=				0
    lowerCAmelCase__   :Optional[Any]      							=				len(UpperCAmelCase       ) - 1
    while left < right:
        while (
            prime_numbers[right] * loga(prime_numbers[left]       )
            + prime_numbers[left] * loga(prime_numbers[right]       )
            > upper_bound
        ):
            right -= 1
        hybrid_integers_count += right - left
        left += 1

    return hybrid_integers_count


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



