



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_       :str				  =				None


a_       :Dict				  =				logging.get_logger(__name__)


a_       :Union[str, Any]				  =				"▁"

a_       :Optional[Any]				  =				{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

a_       :Dict				  =				{
    "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_       :Any				  =				{
    "google/reformer-crime-and-punishment": 524_288,
}




class  snake_case__						(	lowerCAmelCase_					):






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

            snake_case__							:     Any            =     vocab_file
            snake_case__							:     int            =     False if not self.vocab_file else True






     def        lowercase_       (	self  :  Optional[int],			_snake_case  :  str,			_snake_case  :  Optional[str] = None )       ->Tuple[str]:
            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(_snake_case ):
                   logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
                   return
            snake_case__							:     Optional[int]            =     os.path.join(
                _snake_case,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )

            if os.path.abspath(self.vocab_file ) != os.path.abspath(_snake_case ):
                   copyfile(self.vocab_file,			_snake_case )

            return (out_vocab_file,)











def 	lowercase_							(A			:			int		, A			:			int				):
       return (input_a, input_a).count(0				) % 2
def 	lowercase_							():
       assert xor_gate(0		, 0				) == 0
       assert xor_gate(0		, 1				) == 1
       assert xor_gate(1		, 0				) == 1
       assert xor_gate(1		, 1				) == 0


if __name__ == "__main__":
 print(xor_gate(0, 0))
 print(xor_gate(0, 1))






