

'''simple docstring'''





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

						if isinstance(__UpperCamelCase      ,   __UpperCamelCase	):
												raise TypeError('''\'float\' object cannot be interpreted as an integer'''	)
						if isinstance(__UpperCamelCase      ,   __UpperCamelCase	):
												raise TypeError('''\'str\' object cannot be interpreted as an integer'''	)

						if num == 0:
												return "0b0"

						lowercase   :       Any								=False

						if num < 0:
												lowercase   :       List[str]								=True
												lowercase   :       Tuple								=-num

						lowercase   :       List[Any]								=[]
						while num > 0:
												binary.insert(0      ,   num % 2	)
												num >>= 1

						if negative:
												return "-0b" + "".join(str(__UpperCamelCase	) for e in binary	)

						return "0b" + "".join(str(__UpperCamelCase	) for e in binary	)


if __name__ == "__main__":
							import doctest

							doctest.testmod()








'''simple docstring'''





from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments






def 							_lowerCAmelCase (      )							->     List[Any]:
						lowercase   :       Tuple								=HfArgumentParser(__magic_name__	)
						lowercase   :       Union[str, Any]								=parser.parse_args_into_dataclasses()[0]
						lowercase   :       Any								=TensorFlowBenchmark(args=__magic_name__	)
						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   :       Any								=''' '''.join(str(__magic_name__	).split(''' '''	)[:-1]	)
												lowercase   :       Optional[Any]								=''''''
												lowercase   :       List[str]								=eval(str(__magic_name__	).split(''' '''	)[-1]	)
												lowercase   :       Optional[Any]								=[]
												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(__magic_name__	)
												if len(__magic_name__	) > 0:
																		lowercase   :       int								=full_error_msg + begin_error_msg + str(__magic_name__	)
												raise ValueError(__magic_name__	)
						benchmark.run()


if __name__ == "__main__":
							main()





