




'''simple docstring'''



from pathlib import Path

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




def 			_a			(		_lowercase      :			Optional[int]    ,      _lowercase      :			List[Any]    ,      _lowercase      :			Tuple    ,      _lowercase      :			Dict    ,      _lowercase      :			List[Any]						):





     '''simple docstring'''






     __UpperCAmelCase			:				Union[str, Any]													=    cva.getAffineTransform(__SCREAMING_SNAKE_CASE    ,      __SCREAMING_SNAKE_CASE						)
     return cva.warpAffine(__SCREAMING_SNAKE_CASE    ,      __SCREAMING_SNAKE_CASE    ,      (rows, cols)						)


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

      # set different points to rotate image
      __UpperCAmelCase    :int				       =     np.array([[5_0, 5_0], [2_0_0, 5_0], [5_0, 2_0_0]], np.floataa)
      __UpperCAmelCase    :Tuple				       =     np.array([[1_0, 1_0_0], [2_0_0, 5_0], [1_0_0, 2_5_0]], np.floataa)
      __UpperCAmelCase    :Dict				       =     np.array([[5_0, 5_0], [1_5_0, 5_0], [1_2_0, 2_0_0]], np.floataa)
      __UpperCAmelCase    :Any				       =     np.array([[1_0, 1_0_0], [8_0, 5_0], [1_8_0, 2_5_0]], np.floataa)

      # add all rotated images in a list
      __UpperCAmelCase    :str				       =     [
          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
      __UpperCAmelCase    :Union[str, Any]				       =     plt.figure(1)
      __UpperCAmelCase    :Dict				       =     ["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()



'''simple docstring'''



from __future__ import annotations




def 			_a			(		_lowercase      :			list						):





     '''simple docstring'''






     if not nums:
          raise ValueError('''List is empty'''						)
     return sum(_lowercase						) / len(_lowercase						)


if __name__ == "__main__":
      import doctest

      doctest.testmod()