
def 						__magic_name__			(   __a      :	list	,		__a      :	list	,		__a      :	int						):



     '''simple docstring'''




     UpperCamelCase__				=    len(_A						)
     UpperCamelCase__				=    [[0] * n for i in range(_A						)]
     for i in range(_A						):
          UpperCamelCase__				=    y_points[i]

     for i in range(2	,		_A						):
          for j in range(_A	,		_A						):
               UpperCamelCase__				=    (
                   (xa - x_points[j - i + 1]) * q[j][i - 1]
                   - (xa - x_points[j]) * q[j - 1][i - 1]
               ) / (x_points[j] - x_points[j - i + 1])

     return [q[n - 1][n - 1], q]


if __name__ == "__main__":
    import doctest

    doctest.testmod()







import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


lowerCamelCase_						     =					logging.get_logger(__name__)




class      __A(    __lowerCamelCase			):

  """simple docstring"""







  def __init__(self	,      *SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						):
       warnings.warn(
           """The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
           """ Please use SegformerImageProcessor instead."""	,      SCREAMING_SNAKE_CASE_	,      )
       super().__init__(*SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						)





