



'''simple docstring'''






from __future__ import annotations

from collections.abc import Callable


def 				snake_case_  (      _lowerCAmelCase						:		Callable[[int | float], int | float]     ,   _lowerCAmelCase						:		int | float     ,   _lowerCAmelCase						:		int | float     ,   _lowerCAmelCase						:		int = 100     ,   )   ->     float:
							UpperCAmelCase				: Optional[Any]											=	x_start
							UpperCAmelCase				: Dict											=	fnc(snake_case__						)
							UpperCAmelCase				: Union[str, Any]											=	0.0
							for _ in range(snake_case__						):
														# Approximates small segments of curve as linear and solve
														# for trapezoidal area
														UpperCAmelCase				: int											=	(x_end - x_start) / steps + xa
														UpperCAmelCase				: Optional[int]											=	fnc(snake_case__						)
														area += abs(fxa + fxa						) * (xa - xa) / 2
														# Increment step
														UpperCAmelCase				: str											=	xa
														UpperCAmelCase				: str											=	fxa
							return area


if __name__ == "__main__":


						def 				snake_case_  (      _lowerCAmelCase						:		Tuple						)   ->     List[str]:
													return x**3 + x**2

						print("f(x) = x^3 + x^2")
						print("The area between the curve, x = -5, x = 5 and the x axis is:")
						UpperCamelCase__:     Union[str, Any]										=    10
						while i <= 100000:
												print(F"with {i} steps: {trapezoidal_area(f, -5, 5, i)}")
												i *= 10




'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


UpperCamelCase__:     Dict										=    logging.get_logger(__name__)

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	def __init__(		self    :  Optional[Any]	,    *__snake_case    :  List[str]	,    **__snake_case    :  str	)    ->	None:
								warnings.warn(
								    '''The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
								    ''' use BeitImageProcessor instead.'''	,    __snake_case	,    )
								super().__init__(*__snake_case	,    **__snake_case	)





