'''simple docstring'''




from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments

def _UpperCamelCase (							):
     lowercase_       :							Any  					=       HfArgumentParser(SCREAMING_SNAKE_CASE_				)
     try:
          lowercase_       :							List[Any]  					=       parser.parse_args_into_dataclasses()[0]
     except ValueError as e:
          lowercase_       :							List[Any]  					=       'Arg --no_{0} is no longer used, please use --no-{0} instead.'
          lowercase_       :							Tuple  					=       ' '.join(str(SCREAMING_SNAKE_CASE_				).split(' '				)[:-1]				)
          lowercase_       :							Any  					=       ''
          lowercase_       :							str  					=       eval(str(SCREAMING_SNAKE_CASE_				).split(' '				)[-1]				)
          lowercase_       :							str  					=       []
          for arg in depreciated_args:
               # arg[2:] removes '--'
               if arg[2:] in PyTorchBenchmarkArguments.deprecated_args:
                    # arg[5:] removes '--no_'
                    full_error_msg += arg_error_msg.format(arg[5:]				)
               else:
                    wrong_args.append(SCREAMING_SNAKE_CASE_				)
          if len(SCREAMING_SNAKE_CASE_				) > 0:
               lowercase_       :							Any  					=       full_error_msg + begin_error_msg + str(SCREAMING_SNAKE_CASE_				)
          raise ValueError(SCREAMING_SNAKE_CASE_				)

     lowercase_       :							Optional[Any]  					=       PyTorchBenchmark(args=SCREAMING_SNAKE_CASE_				)
     benchmark.run()


if __name__ == "__main__":
 main()





'''simple docstring'''




_A										= '\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

_A										= [{'type': 'code', 'content': INSTALL_CONTENT}]
_A										= {
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}




