



from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments






def 	_lowerCAmelCase						(				):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE       :    Tuple       =	HfArgumentParser(__lowerCamelCase     )
 __SCREAMING_SNAKE_CASE       :    List[Any]       =	parser.parse_args_into_dataclasses()[0]
 __SCREAMING_SNAKE_CASE       :    str       =	TensorFlowBenchmark(args=__lowerCamelCase     )
 try:
  __SCREAMING_SNAKE_CASE       :    List[Any]       =	parser.parse_args_into_dataclasses()[0]
 except ValueError as e:
  __SCREAMING_SNAKE_CASE       :    List[Any]       =	"Arg --no_{0} is no longer used, please use --no-{0} instead."
  __SCREAMING_SNAKE_CASE       :    Union[str, Any]       =	" ".join(str(__lowerCamelCase     ).split(" "     )[:-1]     )
  __SCREAMING_SNAKE_CASE       :    str       =	""
  __SCREAMING_SNAKE_CASE       :    Optional[Any]       =	eval(str(__lowerCamelCase     ).split(" "     )[-1]     )
  __SCREAMING_SNAKE_CASE       :    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(__lowerCamelCase     )
  if len(__lowerCamelCase     ) > 0:
   __SCREAMING_SNAKE_CASE       :    List[Any]       =	full_error_msg + begin_error_msg + str(__lowerCamelCase     )
  raise ValueError(__lowerCamelCase     )
 benchmark.run()


if __name__ == "__main__":
      main()











import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_lowerCamelCase						    =  logging.get_logger(__name__)

class       _SCREAMING_SNAKE_CASE	(UpperCamelCase ):





     def __init__(       self :							int     ,  *UpperCamelCase :							Optional[int]     ,  **UpperCamelCase :							Optional[int]				)->None:
      warnings.warn(
          "The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
          " Please use LayoutLMv2ImageProcessor instead."     ,  UpperCamelCase     ,  )
      super().__init__(*UpperCamelCase     ,  **UpperCamelCase				)






