



'''simple docstring'''






def 				snake_case_  (      _lowerCAmelCase						:		Any     ,   _lowerCAmelCase						:		Dict						)   ->     Tuple:
							# "extended trapezoidal rule"
							# int(f) = dx/2 * (f1 + 2f2 + ... + fn)
							UpperCAmelCase				: List[Any]											=	(boundary[1] - boundary[0]) / steps
							UpperCAmelCase				: str											=	boundary[0]
							UpperCAmelCase				: List[str]											=	boundary[1]
							UpperCAmelCase				: Dict											=	make_points(_lowerCAmelCase     ,   _lowerCAmelCase     ,   _lowerCAmelCase						)
							UpperCAmelCase				: Optional[int]											=	0.0
							y += (h / 2.0) * f(_lowerCAmelCase						)
							for i in x_i:
														# print(i)
														y += h * f(_lowerCAmelCase						)
							y += (h / 2.0) * f(_lowerCAmelCase						)
							return y


def 				snake_case_  (      _lowerCAmelCase						:		Union[str, Any]     ,   _lowerCAmelCase						:		Any     ,   _lowerCAmelCase						:		Any						)   ->     Dict:
							UpperCAmelCase				: Union[str, Any]											=	a + h
							while x < (b - h):
														yield x
														UpperCAmelCase				: List[Any]											=	x + h


def 				snake_case_  (      _lowerCAmelCase						:		Dict						)   ->     Union[str, Any]:  # enter your function here
							UpperCAmelCase				: List[Any]											=	(x - 0) * (x - 0)
							return y


def 				snake_case_  (      )   ->     Optional[Any]:
							UpperCAmelCase				: str											=	0.0  # Lower bound of integration
							UpperCAmelCase				: List[Any]											=	1.0  # Upper bound of integration
							UpperCAmelCase				: List[str]											=	1_0.0  # define number of steps or resolution
							UpperCAmelCase				: int											=	[a, b]  # define boundary of integration
							UpperCAmelCase				: Any											=	method_a(_lowerCAmelCase     ,   _lowerCAmelCase						)
							print(f"""y = {y}"""						)


if __name__ == "__main__":
						main()










'''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	)





