




from pathlib import Path

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





def 						__A						(      __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase       ) ->			np.ndarray:
	a									=				cva.getAffineTransform(__UpperCAmelCase				,     __UpperCAmelCase       )
	return cva.warpAffine(__UpperCAmelCase				,     __UpperCAmelCase				,     (rows, cols)       )


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

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

		# add all rotated images in a list
		__UpperCamelCase   :			Dict          = [
		    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   :			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"""





from __future__ import annotations



def   a    (     __UpperCAmelCase      :    list  )    ->							list:
						if len(__UpperCAmelCase  ) == 0:
												return []
						__magic_name__,			__magic_name__:	List[str]							=       min(__UpperCAmelCase  ), max(__UpperCAmelCase  )
						__magic_name__:	Optional[int]							=       int(max_value - min_value  ) + 1
						__magic_name__:	list[list]							=       [[] for _ in range(__UpperCAmelCase  )]

						for i in my_list:
												buckets[int(i - min_value  )].append(__UpperCAmelCase  )

						return [v for bucket in buckets for v in sorted(__UpperCAmelCase  )]


if __name__ == "__main__":
							from doctest import testmod

							testmod()
							assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
							assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]



