



import math
class 				__A					:





			def __init__(self							,    __magic_name__=0				):  # a graph with Node 0,1,...,N-1
						lowerCamelCase__ :      Any								=		n
						lowerCamelCase__ :      Optional[int]								=		[
						    [math.inf for j in range(0							,    lowerCamelCase_				)] for i in range(0							,    lowerCamelCase_				)
						]  # adjacency matrix for weight
						lowerCamelCase__ :      Union[str, Any]								=		[
						    [math.inf for j in range(0							,    lowerCamelCase_				)] for i in range(0							,    lowerCamelCase_				)
						]  # dp[i][j] stores minimum distance from i to j





			def        _snake_case    (self							,    __magic_name__							,    __magic_name__							,    __magic_name__				):
						lowerCamelCase__ :      Union[str, Any]								=		w





			def        _snake_case    (self				):



						for k in range(0							,    self.n				):
									for i in range(0							,    self.n				):
												for j in range(0							,    self.n				):
															lowerCamelCase__ :      Union[str, Any]								=		min(self.dp[i][j]							,    self.dp[i][k] + self.dp[k][j]				)





			def        _snake_case    (self							,    __magic_name__							,    __magic_name__				):
						return self.dp[u][v]


if __name__ == "__main__":
				_lowercase     							=						Graph(5)
				graph.add_edge(0, 2, 9)
				graph.add_edge(0, 4, 10)
				graph.add_edge(1, 3, 5)
				graph.add_edge(2, 3, 7)
				graph.add_edge(3, 0, 10)
				graph.add_edge(3, 1, 2)
				graph.add_edge(3, 2, 1)
				graph.add_edge(3, 4, 6)
				graph.add_edge(4, 1, 3)
				graph.add_edge(4, 2, 4)
				graph.add_edge(4, 3, 9)
				graph.floyd_warshall()
				graph.show_min(1, 4)
				graph.show_min(0, 3)




from pathlib import Path

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






def      _A				(UpperCamelCase		:      np.ndarray      ,			UpperCamelCase		:      np.ndarray      ,			UpperCamelCase		:      np.ndarray      ,			UpperCamelCase		:      int      ,			UpperCamelCase		:      int )  ->np.ndarray:



			'''simple docstring'''







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


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

				# set different points to rotate image
				_lowercase     							=						np.array([[50, 50], [2_00, 50], [50, 2_00]], np.floataa)
				_lowercase     							=						np.array([[10, 1_00], [2_00, 50], [1_00, 2_50]], np.floataa)
				_lowercase     							=						np.array([[50, 50], [1_50, 50], [1_20, 2_00]], np.floataa)
				_lowercase     							=						np.array([[10, 1_00], [80, 50], [1_80, 2_50]], np.floataa)

				# add all rotated images in a list
				_lowercase     							=						[
				    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     							=						plt.figure(1)
				_lowercase     							=						['''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()



