
"""simple docstring"""





from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







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


if __name__ == "__main__":
    main()







"""simple docstring"""

import numpy as np




def __lowercase			(							_a    ):
    return (2 / (1 + np.exp(-2 * vector    ))) - 1


if __name__ == "__main__":
     import doctest

     doctest.testmod()





