





"""simple docstring"""





from __future__ import annotations

from collections.abc import Callable




def 		lowerCAmelCase_	(  lowercase_   :							Callable[[int | float], int | float] ,      lowercase_   :							int | float ,      lowercase_   :							int | float ,      lowercase_   :							int = 100 ,      ):

 '''simple docstring'''






 __SCREAMING_SNAKE_CASE :			List[str]												=       x_start
 __SCREAMING_SNAKE_CASE :			List[str]												=       fnc(lowercase_		)
 __SCREAMING_SNAKE_CASE :			Any												=       0.0

 for _ in range(lowercase_		):
  # Approximates small segments of curve as linear and solve
  # for trapezoidal area
  __SCREAMING_SNAKE_CASE :			Optional[Any]												=       (x_end - x_start) / steps + xa
  __SCREAMING_SNAKE_CASE :			Union[str, Any]												=       fnc(lowercase_		)
  area += abs(fxa + fxa		) * (xa - xa) / 2

  # Increment step
  __SCREAMING_SNAKE_CASE :			Tuple												=       xa
  __SCREAMING_SNAKE_CASE :			str												=       fxa
 return area


if __name__ == "__main__":




    def 		lowerCAmelCase_	(  lowercase_   :							List[Any]		):

     '''simple docstring'''






     return x**3

    print('''f(x) = x^3''')
    print('''The area between the curve, x = -10, x = 10 and the x axis is:''')
    _lowerCamelCase       =	10
    while i <= 10_00_00:
        _lowerCamelCase       =	trapezoidal_area(f, -5, 5, i)
        print(f'with {i} steps: {area}')
        i *= 10









from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments
def      lowerCamelCase					(						)	->			Union[str, Any]:
							lowerCAmelCase_										=     HfArgumentParser(a_	)
							try:
														lowerCAmelCase_										=     parser.parse_args_into_dataclasses()[0]
							except ValueError as e:
														lowerCAmelCase_										=     'Arg --no_{0} is no longer used, please use --no-{0} instead.'
														lowerCAmelCase_										=     ' '.join(str(a_	).split(' '	)[:-1]	)
														lowerCAmelCase_										=     ''
														lowerCAmelCase_										=     eval(str(a_	).split(' '	)[-1]	)
														lowerCAmelCase_										=     []
														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(a_	)
														if len(a_	) > 0:
																					lowerCAmelCase_										=     full_error_msg + begin_error_msg + str(a_	)
														raise ValueError(a_	)

							lowerCAmelCase_										=     PyTorchBenchmark(args=a_	)
							benchmark.run()


if __name__ == "__main__":
		main()



