
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:
      a__				:      Optional[Any]    		=     None


a__				:      Any    		=     logging.get_logger(__name__)


a__				:      int    		=     """▁"""

a__				:      int    		=     {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

a__				:      Union[str, Any]    		=     {
    """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"""
        )
    },
}

a__				:      Optional[int]    		=     {
    """google/reformer-crime-and-punishment""": 524_288,
}






class     a_       (			snake_case__							):



       """simple docstring"""
       __SCREAMING_SNAKE_CASE       :					Tuple						=  VOCAB_FILES_NAMES
       __SCREAMING_SNAKE_CASE       :					str						=  PRETRAINED_VOCAB_FILES_MAP
       __SCREAMING_SNAKE_CASE       :					List[str]						=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __SCREAMING_SNAKE_CASE       :					Tuple						=  ['input_ids', 'attention_mask']
       __SCREAMING_SNAKE_CASE       :					Any						=  ReformerTokenizer






       def __init__(		self				,       _lowerCamelCase=None				,       _lowerCamelCase=None				,       _lowerCamelCase="</s>"				,       _lowerCamelCase="<unk>"				,       _lowerCamelCase=[]				,       **_lowerCamelCase				,       )					->Optional[int]:
           super().__init__(
               lowercase_				,       tokenizer_file=lowercase_				,       eos_token=lowercase_				,       unk_token=lowercase_				,       additional_special_tokens=lowercase_				,       **lowercase_				,       )

           SCREAMING_SNAKE_CASE				:				Optional[Any]				      = vocab_file
           SCREAMING_SNAKE_CASE				:				str				      = False if not self.vocab_file else True






       def 	__lowerCAmelCase     (		self				,       _lowerCamelCase				,       _lowerCamelCase = None   )					->Dict:
           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(lowercase_   ):
               logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
               return
           SCREAMING_SNAKE_CASE				:				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_   ):
               copyfile(self.vocab_file				,       lowercase_   )

           return (out_vocab_file,)



"""simple docstring"""





def 							_lowerCAmelCase   (    UpperCAmelCase  :				int   ,				UpperCAmelCase  :				int   ,				UpperCAmelCase  :				int					):


					'''simple docstring'''






					if power < 0:
										return -1
					base %= mod
					UpperCamelCase__		:     Any								=1

					while power > 0:
										if power & 1:
															UpperCamelCase__		:     Optional[Any]								=(result * base) % mod
										UpperCamelCase__		:     Union[str, Any]								=power >> 1
										UpperCamelCase__		:     Union[str, Any]								=(base * base) % mod

					return result



def 							_lowerCAmelCase   (    ):


					'''simple docstring'''






					print(modular_exponential(3   ,				200   ,				13					)					)


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				main()


