

"""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:
				_SCREAMING_SNAKE_CASE							:	Optional[Any]										=			None


_SCREAMING_SNAKE_CASE							:	Any										=			logging.get_logger(__name__)


_SCREAMING_SNAKE_CASE							:	int										=			"""▁"""

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

_SCREAMING_SNAKE_CASE							:	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"""
        )
    },
}

_SCREAMING_SNAKE_CASE							:	Optional[int]										=			{
    """google/reformer-crime-and-punishment""": 5_2_4_2_8_8,
}

class      __a (   snake_case__     ):

			"""simple docstring"""

			SCREAMING_SNAKE_CASE_      =    VOCAB_FILES_NAMES
			SCREAMING_SNAKE_CASE_      =    PRETRAINED_VOCAB_FILES_MAP
			SCREAMING_SNAKE_CASE_      =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			SCREAMING_SNAKE_CASE_      =    ['input_ids', 'attention_mask']
			SCREAMING_SNAKE_CASE_      =    ReformerTokenizer






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

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






			def  _lowerCAmelCase      (				self  :       Dict    ,	lowercase_  :       str    ,	lowercase_  :       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(lowercase_    ):
													logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''    )
													return
								UpperCamelCase__		:     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					):


					'''simple docstring'''






					if not isinstance(UpperCAmelCase   ,				UpperCAmelCase					):
										raise ValueError('''double_factorial() only accepts integral values'''					)
					if n < 0:
										raise ValueError('''double_factorial() not defined for negative values'''					)
					return 1 if n <= 1 else n * double_factorial(n - 2					)


if __name__ == "__main__":
				import doctest

				doctest.testmod()


