






"""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:
      _snake_case       :      List[str]       =					None


_snake_case       :      str       =					logging.get_logger(__name__)


_snake_case       :      List[str]       =					"""▁"""

_snake_case       :      Tuple       =					{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

_snake_case       :      str       =					{
    """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"""
        )
    },
}

_snake_case       :      Tuple       =					{
    """google/reformer-crime-and-punishment""": 524_288,
}




class        __lowercase(       lowerCAmelCase_  ):
      lowerCAmelCase_		:							Optional[int]=       VOCAB_FILES_NAMES
      lowerCAmelCase_		:							Optional[int]=       PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase_		:							Any=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase_		:							int=       ["""input_ids""", """attention_mask"""]
      lowerCAmelCase_		:							Optional[int]=       ReformerTokenizer






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




           """simple docstring"""





           super().__init__(
               __SCREAMING_SNAKE_CASE    ,						tokenizer_file=__SCREAMING_SNAKE_CASE    ,						eos_token=__SCREAMING_SNAKE_CASE    ,						unk_token=__SCREAMING_SNAKE_CASE    ,						additional_special_tokens=__SCREAMING_SNAKE_CASE    ,						**__SCREAMING_SNAKE_CASE    ,						)

           lowerCamelCase__				=vocab_file
           lowerCamelCase__				=False if not self.vocab_file else True






      def 		lowerCAmelCase   (					self    ,						_SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE = None)			->  List[str]:




           """simple docstring"""





           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(__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):
                copyfile(self.vocab_file    ,						__SCREAMING_SNAKE_CASE)

           return (out_vocab_file,)







"""simple docstring"""



from doctest import testmod
from math import sqrt




def 						lowerCamelCase_				(  __A  :		int			):
					lowerCamelCase__				=[]
					if num < 1:
										return facs
					facs.append(1			)
					if num == 1:
										return facs
					facs.append(__A			)
					for i in range(2			,	int(sqrt(__A			)			) + 1			):
										if num % i == 0:  # If i is a factor of num
															facs.append(__A			)
															lowerCamelCase__				=num // i  # num//i is the other factor of num
															if d != i:  # If d and i are distinct
																				facs.append(__A			)  # we have found another factor
					facs.sort()
					return facs


if __name__ == "__main__":
						testmod(name="factors_of_a_number", verbose=True)