


"""simple docstring"""



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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase_							=							logging.get_logger(__name__)


lowercase_							=							'▁'

lowercase_							=							{'vocab_file': 'spiece.model'}

lowercase_							=							{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    }
}

lowercase_							=							{
    'google/reformer-crime-and-punishment': 52_42_88,
}







class    __a						( __snake_case							):
				lowerCamelCase     :       int			       =VOCAB_FILES_NAMES
				lowerCamelCase     :       Any			       =PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase     :       Dict			       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCamelCase     :       Any			       =["input_ids", "attention_mask"]







				def __init__( self      ,	UpperCAmelCase      ,	UpperCAmelCase="</s>"      ,	UpperCAmelCase="<unk>"      ,	UpperCAmelCase=[]      ,	UpperCAmelCase = None      ,	**UpperCAmelCase      ,	):

					'''simple docstring'''






					lowerCAmelCase_      							=			{} if sp_model_kwargs is None else sp_model_kwargs

					super().__init__(
					    eos_token=SCREAMING_SNAKE_CASE__      ,	unk_token=SCREAMING_SNAKE_CASE__      ,	additional_special_tokens=SCREAMING_SNAKE_CASE__      ,	sp_model_kwargs=self.sp_model_kwargs      ,	**SCREAMING_SNAKE_CASE__      ,	)

					lowerCAmelCase_      							=			vocab_file
					lowerCAmelCase_      							=			spm.SentencePieceProcessor(**self.sp_model_kwargs   )
					self.sp_model.Load(SCREAMING_SNAKE_CASE__   )







				@property
				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					return self.sp_model.get_piece_size()







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			{self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE__   ): i for i in range(self.vocab_size   )}
					vocab.update(self.added_tokens_encoder   )
					return vocab







				def __getstate__( self   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			self.__dict__.copy()
					lowerCAmelCase_      							=			None
					return state







				def __setstate__( self      ,	UpperCAmelCase   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			d

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

					lowerCAmelCase_      							=			spm.SentencePieceProcessor(**self.sp_model_kwargs   )
					self.sp_model.Load(self.vocab_file   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase   ):

					'''simple docstring'''






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







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase   ):

					'''simple docstring'''






					return self.sp_model.piece_to_id(SCREAMING_SNAKE_CASE__   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase   ):

					'''simple docstring'''






					if index < self.sp_model.get_piece_size():
						lowerCAmelCase_      							=			self.sp_model.IdToPiece(SCREAMING_SNAKE_CASE__   )
					return token







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			[]
					lowerCAmelCase_      							=			''''''
					for token in tokens:
						# make sure that special tokens are not decoded using sentencepiece model
						if token in self.all_special_tokens:
							out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE__   ) + token
							lowerCAmelCase_      							=			[]
						else:
							current_sub_tokens.append(SCREAMING_SNAKE_CASE__   )
					out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE__   )
					return out_string.strip()







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase = None   ):

					'''simple docstring'''






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

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

					return (out_vocab_file,)

def  __lowerCamelCase					( _lowercase = 50000000			)       ->      int:
     UpperCamelCase						    =					set()
     UpperCamelCase						    =					int((limit - 24) ** (1 / 2)			)

     UpperCamelCase						    =					set(range(3						,     prime_square_limit + 1						,     2			)			)
     primes.add(2			)
     for p in range(3						,     prime_square_limit + 1						,     2			):
          if p not in primes:
               continue
          primes.difference_update(set(range(p * p						,     prime_square_limit + 1						,     _lowercase			)			)			)

     for primea in primes:
          UpperCamelCase						    =					primea * primea
          for primea in primes:
               UpperCamelCase						    =					primea * primea * primea
               if square + cube >= limit - 16:
                    break
               for primea in primes:
                    UpperCamelCase						    =					primea * primea * primea * primea
                    UpperCamelCase						    =					square + cube + tetr
                    if total >= limit:
                         break
                    ret.add(_lowercase			)

     return len(_lowercase			)


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


