





from pathlib import Path

import cva
import numpy as np
from matplotlib import pyplot as plt

def   a_    ( lowerCAmelCase_      :			np.ndarray,	lowerCAmelCase_      :			np.ndarray,	lowerCAmelCase_      :			np.ndarray,	lowerCAmelCase_      :			int,	lowerCAmelCase_      :			int	):
   __lowerCAmelCase								=	cva.getAffineTransform(lowerCAmelCase_,	lowerCAmelCase_	)
   return cva.warpAffine(lowerCAmelCase_,	lowerCAmelCase_,	(rows, cols)	)


if __name__ == "__main__":
     # read original image
     _snake_case  :    Dict						    =  cva.imread(
         str(Path(__file__).resolve().parent.parent / 'image_data' / 'lena.jpg')
     )
     # turn image in gray scale value
     _snake_case  :    Optional[Any]						    =  cva.cvtColor(image, cva.COLOR_BGR2GRAY)
     # get image shape
     _snake_case    , _snake_case  :    List[Any]						    =  gray_img.shape

     # set different points to rotate image
     _snake_case  :    Dict						    =  np.array([[50, 50], [200, 50], [50, 200]], np.floataa)
     _snake_case  :    List[str]						    =  np.array([[10, 100], [200, 50], [100, 250]], np.floataa)
     _snake_case  :    List[str]						    =  np.array([[50, 50], [150, 50], [120, 200]], np.floataa)
     _snake_case  :    Tuple						    =  np.array([[10, 100], [80, 50], [180, 250]], np.floataa)

     # add all rotated images in a list
     _snake_case  :    Union[str, Any]						    =  [
         gray_img,
         get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
         get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
         get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
     ]

     # plot different image rotations
     _snake_case  :    Union[str, Any]						    =  plt.figure(1)
     _snake_case  :    Tuple						    =  ['Original', 'Rotation 1', 'Rotation 2', 'Rotation 3']
     for i, image in enumerate(images):
          plt.subplot(2, 2, i + 1), plt.imshow(image, 'gray')
          plt.title(titles[i])
          plt.axis('off')
          plt.subplots_adjust(left=0.0, bottom=0.05, right=1.0, top=0.95)
     plt.show()








from __future__ import annotations

import math

def   a_    ( lowerCAmelCase_      :			int,	lowerCAmelCase_      :			int,	lowerCAmelCase_      :			bool,	lowerCAmelCase_      :			list[int],	lowerCAmelCase_      :			float	):

   if depth < 0:
      raise ValueError('Depth cannot be less than 0'	)

   if len(lowerCAmelCase_	) == 0:
      raise ValueError('Scores cannot be empty'	)

   if depth == height:
      return scores[node_index]

   if is_max:
      return max(
          minimax(depth + 1,	node_index * 2,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	minimax(depth + 1,	node_index * 2 + 1,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	)

   return min(
       minimax(depth + 1,	node_index * 2,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	minimax(depth + 1,	node_index * 2 + 1,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	)

def   a_    ( ):
   __lowerCAmelCase								=	[90, 23, 6, 33, 21, 65, 123, 3_4423]
   __lowerCAmelCase								=	math.log(len(lowerCAmelCase_	),	2	)
   print('Optimal value : ',	end=''	)
   print(minimax(0,	0,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	)	)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()

