


'''simple docstring'''






from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments






def 		_A			()				->					List[Any]:




     '''simple docstring'''



     _a      =							HfArgumentParser(UpperCAmelCase_						)
     _a      =							parser.parse_args_into_dataclasses()[0]
     _a      =							TensorFlowBenchmark(args=UpperCAmelCase_						)
     try:
          _a      =							parser.parse_args_into_dataclasses()[0]
     except ValueError as e:
          _a      =							'Arg --no_{0} is no longer used, please use --no-{0} instead.'
          _a      =							' '.join(str(UpperCAmelCase_						).split(' '						)[:-1]						)
          _a      =							''
          _a      =							eval(str(UpperCAmelCase_						).split(' '						)[-1]						)
          _a      =							[]
          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:
               _a      =							full_error_msg + begin_error_msg + str(UpperCAmelCase_						)
          raise ValueError(UpperCAmelCase_						)
     benchmark.run()


if __name__ == "__main__":
 main()





'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


a_   :      Optional[Any]				    =      logging.get_logger(__name__)




class 	a       (       _SCREAMING_SNAKE_CASE    ):
 def __init__(	self ,			*__magic_name__ ,			**__magic_name__  )   ->							None:
      warnings.warn(
          'The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
          ' use CLIPImageProcessor instead.' ,			__magic_name__ ,			)
      super().__init__(*__magic_name__ ,			**__magic_name__  )

