code: 
  
  
  
  """simple docstring"""
  
  
  
  
  from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments
  
  def 		__snake_case		(   )						->     Tuple:
  
  
  
  
  
       '''simple docstring'''
  
       _UpperCAmelCase    :			Any              =					HfArgumentParser(SCREAMING_SNAKE_CASE__       )
       try:
            _UpperCAmelCase    :			List[str]              =					parser.parse_args_into_dataclasses()[0]
       except ValueError as e:
            _UpperCAmelCase    :			List[str]              =					"Arg --no_{0} is no longer used, please use --no-{0} instead."
            _UpperCAmelCase    :			str              =					" ".join(str(SCREAMING_SNAKE_CASE__       ).split(" "       )[:-1]       )
            _UpperCAmelCase    :			List[Any]              =					""
            _UpperCAmelCase    :			Any              =					eval(str(SCREAMING_SNAKE_CASE__       ).split(" "       )[-1]       )
            _UpperCAmelCase    :			int              =					[]
            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:
                 _UpperCAmelCase    :			int              =					full_error_msg + begin_error_msg + str(SCREAMING_SNAKE_CASE__       )
            raise ValueError(SCREAMING_SNAKE_CASE__       )
  
       _UpperCAmelCase    :			Union[str, Any]              =					PyTorchBenchmark(args=SCREAMING_SNAKE_CASE__       )
       benchmark.run()
  
  
  if __name__ == "__main__":
   main()
  
style_context: 
  
  
  
  """simple docstring"""
  
  
  
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list       )						->     bool:
  
  
  
  
  
       '''simple docstring'''
  
       if not isinstance(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ):
            raise ValueError("Input series is not valid, valid series - [1, 2/3, 2]"       )
       if len(SCREAMING_SNAKE_CASE__       ) == 0:
            raise ValueError("Input list must be a non empty list"       )
       if len(SCREAMING_SNAKE_CASE__       ) == 1 and series[0] != 0:
            return True
       _UpperCAmelCase    :			Tuple              =					[]
       _UpperCAmelCase    :			Any              =					len(SCREAMING_SNAKE_CASE__       )
       for i in range(0		,						SCREAMING_SNAKE_CASE__       ):
            if series[i] == 0:
                 raise ValueError("Input series cannot have 0 as an element"       )
            rec_series.append(1 / series[i]       )
       _UpperCAmelCase    :			Dict              =					rec_series[1] - rec_series[0]
       for index in range(2		,						SCREAMING_SNAKE_CASE__       ):
            if rec_series[index] - rec_series[index - 1] != common_diff:
                 return False
       return True
  
  def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		list       )						->     float:
  
  
  
  
  
       '''simple docstring'''
  
       if not isinstance(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ):
            raise ValueError("Input series is not valid, valid series - [2, 4, 6]"       )
       if len(SCREAMING_SNAKE_CASE__       ) == 0:
            raise ValueError("Input list must be a non empty list"       )
       _UpperCAmelCase    :			Any              =					0
       for val in series:
            answer += 1 / val
       return len(SCREAMING_SNAKE_CASE__       ) / answer
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod()
  