
"""simple docstring"""




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
    from .tokenization_xlnet import XLNetTokenizer
else:
    A__      :	int          =    None


A__      :	List[str]          =    logging.get_logger(__name__)

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

A__      :	Union[str, Any]          =    {
    """vocab_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json""",
    },
}

A__      :	int          =    {
    """xlnet-base-cased""": None,
    """xlnet-large-cased""": None,
}

A__      :	Any          =    """▁"""

# Segments (not really needed)
A__      :	str          =    0
A__      :	int          =    1
A__      :	Union[str, Any]          =    2
A__      :	List[str]          =    3
A__      :	Optional[Any]          =    4







class   _lowercase						(       lowerCAmelCase_				):


     '''simple docstring'''





     _A								=							VOCAB_FILES_NAMES
     _A								=							PRETRAINED_VOCAB_FILES_MAP
     _A								=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _A								=							'left'
     _A								=							XLNetTokenizer



     def __init__(      self ,			__UpperCamelCase=None ,			__UpperCamelCase=None ,			__UpperCamelCase=False ,			__UpperCamelCase=True ,			__UpperCamelCase=False ,			__UpperCamelCase="<s>" ,			__UpperCamelCase="</s>" ,			__UpperCamelCase="<unk>" ,			__UpperCamelCase="<sep>" ,			__UpperCamelCase="<pad>" ,			__UpperCamelCase="<cls>" ,			__UpperCamelCase="<mask>" ,			__UpperCamelCase=["<eop>", "<eod>"] ,			**__UpperCamelCase ,			)->					Any:
          # Mask token behave like a normal word, i.e. include the space before it
          UpperCAmelCase__							: Dict 							=						AddedToken(__UpperCamelCase ,			lstrip=__UpperCamelCase ,			rstrip=__UpperCamelCase  ) if isinstance(__UpperCamelCase ,			__UpperCamelCase  ) else mask_token

          super().__init__(
              vocab_file=__UpperCamelCase ,			tokenizer_file=__UpperCamelCase ,			do_lower_case=__UpperCamelCase ,			remove_space=__UpperCamelCase ,			keep_accents=__UpperCamelCase ,			bos_token=__UpperCamelCase ,			eos_token=__UpperCamelCase ,			unk_token=__UpperCamelCase ,			sep_token=__UpperCamelCase ,			pad_token=__UpperCamelCase ,			cls_token=__UpperCamelCase ,			mask_token=__UpperCamelCase ,			additional_special_tokens=__UpperCamelCase ,			**__UpperCamelCase ,			)

          UpperCAmelCase__							: Any 							=						3
          UpperCAmelCase__							: Union[str, Any] 							=						do_lower_case
          UpperCAmelCase__							: List[str] 							=						remove_space
          UpperCAmelCase__							: Union[str, Any] 							=						keep_accents
          UpperCAmelCase__							: List[Any] 							=						vocab_file
          UpperCAmelCase__							: Tuple 							=						False if not self.vocab_file else True



     def  lowerCAmelCase__       (      self ,			__UpperCamelCase ,			__UpperCamelCase = None  )->					List[int]:
          UpperCAmelCase__							: List[Any] 							=						[self.sep_token_id]
          UpperCAmelCase__							: Optional[Any] 							=						[self.cls_token_id]
          if token_ids_a is None:
               return token_ids_a + sep + cls
          return token_ids_a + sep + token_ids_a + sep + cls



     def  lowerCAmelCase__       (      self ,			__UpperCamelCase ,			__UpperCamelCase = None  )->					List[int]:
          UpperCAmelCase__							: str 							=						[self.sep_token_id]
          UpperCAmelCase__							: int 							=						[2]

          if token_ids_a is None:
               return len(token_ids_a + sep  ) * [0] + cls_segment_id
          return len(token_ids_a + sep  ) * [0] + len(token_ids_a + sep  ) * [1] + cls_segment_id



     def  lowerCAmelCase__       (      self ,			__UpperCamelCase ,			__UpperCamelCase = 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(__UpperCamelCase  ):
               logger.error(F"Vocabulary path ({save_directory}) should be a directory"  )
               return
          UpperCAmelCase__							: Dict 							=						os.path.join(
              __UpperCamelCase ,			(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )

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

          return (out_vocab_file,)





"""simple docstring"""




from timeit import timeit



def 							a__ (				lowerCAmelCase	:       int		):






     '''simple docstring'''
     if number < 0:
          raise ValueError("the value of input must not be negative"		)
     UpperCAmelCase__							: Tuple 							=						0
     while number:
          number &= number - 1
          result += 1
     return result



def 							a__ (				lowerCAmelCase	:       int		):






     '''simple docstring'''
     if number < 0:
          raise ValueError("the value of input must not be negative"		)
     UpperCAmelCase__							: Union[str, Any] 							=						0
     while number:
          if number % 2 == 1:
               result += 1
          number >>= 1
     return result



def 							a__ (				):






     '''simple docstring'''

     def do_benchmark(lowerCAmelCase	:       int		) -> None:
          UpperCAmelCase__							: Dict 							=						"import __main__ as z"
          print(F"Benchmark when {number = }:"		)
          print(F"{get_set_bits_count_using_modulo_operator(lowerCAmelCase		) = }"		)
          UpperCAmelCase__							: Tuple 							=						timeit("z.get_set_bits_count_using_modulo_operator(25)"       ,    setup=lowerCAmelCase		)
          print(F"timeit() runs in {timing} seconds"		)
          print(F"{get_set_bits_count_using_brian_kernighans_algorithm(lowerCAmelCase		) = }"		)
          UpperCAmelCase__							: Any 							=						timeit(
              "z.get_set_bits_count_using_brian_kernighans_algorithm(25)"       ,    setup=lowerCAmelCase       ,    )
          print(F"timeit() runs in {timing} seconds"		)

     for number in (25, 37, 58, 0):
          do_benchmark(lowerCAmelCase		)
          print()


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    benchmark()



