



from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


def A    (							)    ->   Union[str, Any]:
			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()









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

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




