
"""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:
							lowerCamelCase__           =	None


lowerCamelCase__           =	logging.get_logger(__name__)

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

lowerCamelCase__           =	{
    """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""",
    },
}

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

lowerCamelCase__           =	"""▁"""

# Segments (not really needed)
lowerCamelCase__           =	0
lowerCamelCase__           =	1
lowerCamelCase__           =	2
lowerCamelCase__           =	3
lowerCamelCase__           =	4




class 				A__ (			_lowerCamelCase):
				A_		: Tuple            =			VOCAB_FILES_NAMES
				A_		: List[str]            =			PRETRAINED_VOCAB_FILES_MAP
				A_		: Tuple            =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				A_		: Any            =			'left'
				A_		: str            =			XLNetTokenizer

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

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

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

				def 							__lowerCamelCase							(   self ,	_SCREAMING_SNAKE_CASE ,	_SCREAMING_SNAKE_CASE = None				):
					__lowerCAmelCase    :		int		    =   [self.sep_token_id]
					__lowerCAmelCase    :		str		    =   [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 ,	_SCREAMING_SNAKE_CASE ,	_SCREAMING_SNAKE_CASE = None				):
					__lowerCAmelCase    :		Tuple		    =   [self.sep_token_id]
					__lowerCAmelCase    :		List[Any]		    =   [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 ,	_SCREAMING_SNAKE_CASE ,	_SCREAMING_SNAKE_CASE = 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(_SCREAMING_SNAKE_CASE				):
						logger.error(f"Vocabulary path ({save_directory}) should be a directory"				)
						return
					__lowerCAmelCase    :		str		    =   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 transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def 					__lowerCAmelCase       ():
	__lowerCAmelCase    :		Tuple		    =   HfArgumentParser(_UpperCamelCase	)
	__lowerCAmelCase    :		Optional[Any]		    =   parser.parse_args_into_dataclasses()[0]
	__lowerCAmelCase    :		int		    =   TensorFlowBenchmark(args=_UpperCamelCase	)
	try:
		__lowerCAmelCase    :		Dict		    =   parser.parse_args_into_dataclasses()[0]
	except ValueError as e:
		__lowerCAmelCase    :		List[Any]		    =   'Arg --no_{0} is no longer used, please use --no-{0} instead.'
		__lowerCAmelCase    :		Union[str, Any]		    =   ' '.join(str(_UpperCamelCase	).split(' '	)[:-1]	)
		__lowerCAmelCase    :		List[str]		    =   ''
		__lowerCAmelCase    :		Any		    =   eval(str(_UpperCamelCase	).split(' '	)[-1]	)
		__lowerCAmelCase    :		Dict		    =   []
		for arg in depreciated_args:
			# arg[2:] removes '--'
			if arg[2:] in TensorFlowBenchmark.deprecated_args:
				# arg[5:] removes '--no_'
				full_error_msg += arg_error_msg.format(arg[5:]	)
			else:
				wrong_args.append(_UpperCamelCase	)
		if len(_UpperCamelCase	) > 0:
			__lowerCAmelCase    :		Any		    =   full_error_msg + begin_error_msg + str(_UpperCamelCase	)
		raise ValueError(_UpperCamelCase	)
	benchmark.run()


if __name__ == "__main__":
							main()