






import warnings

from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor


UpperCAmelCase__				   =		logging.get_logger(__name__)






class 		lowercase_					(	lowercase   ):






      '''simple docstring'''




      def __init__(      self      :						int ,					*__UpperCAmelCase      :						Any ,					**__UpperCAmelCase      :						Optional[int]  )    ->None:




       """simple docstring"""


       warnings.warn(
           '''The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
           ''' Please use PoolFormerImageProcessor instead.''' ,					__UpperCAmelCase ,					)
       super().__init__(*__UpperCAmelCase ,					**__UpperCAmelCase  )




from collections.abc import Sequence






def        a_		(       __lowercase   :	Sequence[float]       ,					__lowercase   :	float ) ->  float:
			return sum(c * (x**i) for i, c in enumerate(__lowercase ) )






def        a_		(       __lowercase   :	Sequence[float]       ,					__lowercase   :	float ) ->  float:
			_snake_case		=			0.0
			for coeff in reversed(__lowercase ):
						_snake_case		=			result * x + coeff
			return result


if __name__ == "__main__":
			_lowerCamelCase       :				Optional[Any]       =			(0.0, 0.0, 5.0, 9.3, 7.0)
			_lowerCamelCase       :				Optional[int]       =			1_0.0
			print(evaluate_poly(poly, x))
			print(horner(poly, x))