


from pathlib import Path

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







def  SCREAMING_SNAKE_CASE_		(    __A				:    np.ndarray						,					__A				:    np.ndarray						,					__A				:    np.ndarray						,					__A				:    int						,					__A				:    int       )			->	np.ndarray:

       """simple docstring"""

       a_      :	Optional[Any]							=						cva.getAffineTransform(__A						,					__A       )
       return cva.warpAffine(__A						,					__A						,					(rows, cols)       )


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

   # set different points to rotate image
   UpperCAmelCase_   :				Union[str, Any]						      = np.array([[50, 50], [200, 50], [50, 200]], np.floataa)
   UpperCAmelCase_   :				Dict						      = np.array([[10, 100], [200, 50], [100, 250]], np.floataa)
   UpperCAmelCase_   :				Tuple						      = np.array([[50, 50], [150, 50], [120, 200]], np.floataa)
   UpperCAmelCase_   :				Tuple						      = np.array([[10, 100], [80, 50], [180, 250]], 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_   :				str						      = plt.figure(1)
   UpperCAmelCase_   :				List[Any]						      = ['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=0.0_5, right=1.0, top=0.9_5)
   plt.show()






def  SCREAMING_SNAKE_CASE_		(    __A				:    str       )			->	list:

       """simple docstring"""

       return [
           txt[:a] + txt[a].upper() + txt[a + 1 :]
           for a in range(len(__A       )       )
           if txt[a].isalpha()
       ]


if __name__ == "__main__":
   __import__('doctest').testmod()


