






'''simple docstring'''

import os
import sys
from contextlib import contextmanager


# Windows only
if os.name == "nt":
   import ctypes
   import msvcrt  # noqa







   class 	SCREAMING_SNAKE_CASE	(      ctypes.Structure  ):
          # _fields is a specific attr expected by ctypes
          snake_case__    :     Any   		=			[('size', ctypes.c_int), ('visible', ctypes.c_byte)]
def     __lowercase  ()   ->     str:


     """simple docstring"""
     if os.name == "nt":
          __lowerCamelCase						:       Tuple				   =				CursorInfo()
          __lowerCamelCase						:       Dict				   =				ctypes.windll.kernelaa.GetStdHandle(-11     )
          ctypes.windll.kernelaa.GetConsoleCursorInfo(_lowercase,						ctypes.byref(_lowercase     )     )
          __lowerCamelCase						:       Any				   =				False
          ctypes.windll.kernelaa.SetConsoleCursorInfo(_lowercase,						ctypes.byref(_lowercase     )     )
     elif os.name == "posix":
          sys.stdout.write("""\033[?25l"""     )
          sys.stdout.flush()
def     __lowercase  ()   ->     int:


     """simple docstring"""
     if os.name == "nt":
          __lowerCamelCase						:       int				   =				CursorInfo()
          __lowerCamelCase						:       Tuple				   =				ctypes.windll.kernelaa.GetStdHandle(-11     )
          ctypes.windll.kernelaa.GetConsoleCursorInfo(_lowercase,						ctypes.byref(_lowercase     )     )
          __lowerCamelCase						:       str				   =				True
          ctypes.windll.kernelaa.SetConsoleCursorInfo(_lowercase,						ctypes.byref(_lowercase     )     )
     elif os.name == "posix":
          sys.stdout.write("""\033[?25h"""     )
          sys.stdout.flush()
@contextmanager
def     __lowercase  ()   ->     List[Any]:


     """simple docstring"""
     try:
          hide_cursor()
          yield
     finally:
          show_cursor()











'''simple docstring'''

from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def     __lowercase  ()   ->     str:


     """simple docstring"""
     __lowerCamelCase						:       Any				   =				HfArgumentParser(_lowercase     )
     __lowerCamelCase						:       List[str]				   =				parser.parse_args_into_dataclasses()[0]
     __lowerCamelCase						:       Dict				   =				TensorFlowBenchmark(args=_lowercase     )
     try:
          __lowerCamelCase						:       List[str]				   =				parser.parse_args_into_dataclasses()[0]
     except ValueError as e:
          __lowerCamelCase						:       Tuple				   =				"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
          __lowerCamelCase						:       List[Any]				   =				""" """.join(str(_lowercase     ).split(""" """     )[:-1]     )
          __lowerCamelCase						:       Tuple				   =				""""""
          __lowerCamelCase						:       List[str]				   =				eval(str(_lowercase     ).split(""" """     )[-1]     )
          __lowerCamelCase						:       Tuple				   =				[]
          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(_lowercase     )
          if len(_lowercase     ) > 0:
               __lowerCamelCase						:       Tuple				   =				full_error_msg + begin_error_msg + str(_lowercase     )
          raise ValueError(_lowercase     )
     benchmark.run()


if __name__ == "__main__":
   main()



