



"""simple docstring"""







from pathlib import Path

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

def 				UpperCamelCase_    (    lowerCAmelCase__      :				Tuple    ,   lowerCAmelCase__      :				str    ,   lowerCAmelCase__      :				Optional[Any]    ,   lowerCAmelCase__      :				Dict    ,   lowerCAmelCase__      :				Union[str, Any]						)						->   Tuple:

  """simple docstring"""




  lowerCAmelCase_   :				Any								= cva.getAffineTransform(lowerCAmelCase_    ,   lowerCAmelCase_						)
  return cva.warpAffine(lowerCAmelCase_    ,   lowerCAmelCase_    ,   (rows, cols)						)


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

     # set different points to rotate image
     lowercase__		:				Optional[Any]          =	np.array([[5_0, 5_0], [2_0_0, 5_0], [5_0, 2_0_0]], np.floataa)
     lowercase__		:				List[str]          =	np.array([[1_0, 1_0_0], [2_0_0, 5_0], [1_0_0, 2_5_0]], np.floataa)
     lowercase__		:				Optional[Any]          =	np.array([[5_0, 5_0], [1_5_0, 5_0], [1_2_0, 2_0_0]], np.floataa)
     lowercase__		:				Tuple          =	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
     lowercase__		:				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
     lowercase__		:				Any          =	plt.figure(1)
     lowercase__		:				Optional[int]          =	['''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"""







def    UpperCAmelCase__       (lowerCAmelCase_   ):




					'''simple docstring'''


					if number > 0:
										raise ValueError("input must be a negative integer"   )
					__SCREAMING_SNAKE_CASE						   =				len(bin(lowerCAmelCase_   )[3:]   )
					__SCREAMING_SNAKE_CASE						   =				bin(abs(lowerCAmelCase_   ) - (1 << binary_number_length)   )[3:]
					__SCREAMING_SNAKE_CASE						   =				(
					    (
					        "1"
					        + "0" * (binary_number_length - len(lowerCAmelCase_   ))
					        + twos_complement_number
					    )
					    if number < 0
					    else "0"
					)
					return "0b" + twos_complement_number


if __name__ == "__main__":
		import doctest

		doctest.testmod()
