




'''simple docstring'''





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:
    __lowerCamelCase       				=	None


__lowerCamelCase       				=	logging.get_logger(__name__)


__lowerCamelCase       				=	'''▁'''

__lowerCamelCase       				=	{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCamelCase       				=	{
    '''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'''
        )
    },
}

__lowerCamelCase       				=	{
    '''google/reformer-crime-and-punishment''': 52_4288,
}




class 							UpperCAmelCase ( _snake_case	):
 UpperCAmelCase				=				VOCAB_FILES_NAMES
 UpperCAmelCase				=				PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase				=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase				=				["input_ids", "attention_mask"]
 UpperCAmelCase				=				ReformerTokenizer


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

    UpperCAmelCase__  :List[Any]            =			vocab_file
    UpperCAmelCase__  :List[Any]            =			False if not self.vocab_file else True





 def 					__SCREAMING_SNAKE_CASE				(			self       :  Tuple ,					__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__  :str            =			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'''





def 					a__    (				UpperCamelCase_	:			int	):
   UpperCAmelCase__  :str            =			[True for i in range(n + 1	)]
   UpperCAmelCase__  :List[str]            =			[i - 1 for i in range(n + 1	)]
   UpperCAmelCase__  :str            =			[]
   for i in range(2,      n + 1	):
      if is_prime[i]:
         primes.append(UpperCamelCase_	)
      for j in range(0,      len(UpperCamelCase_	)	):
         if i * primes[j] >= n:
            break
         UpperCAmelCase__  :List[str]            =			False

         if i % primes[j] == 0:
            UpperCAmelCase__  :Any            =			totients[i] * primes[j]
            break

         UpperCAmelCase__  :str            =			totients[i] * (primes[j] - 1)

   return totients


if __name__ == "__main__":
    import doctest

    doctest.testmod()



