"""simple docstring"""
from pathlib import Path

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





def 				lowerCAmelCase__      (     _UpperCamelCase    :			np.ndarray	,     _UpperCamelCase    :			np.ndarray	,     _UpperCamelCase    :			np.ndarray	,     _UpperCamelCase    :			int	,     _UpperCamelCase    :			int   )   ->			np.ndarray:





						"""simple docstring"""






						snake_case        =     cva.getAffineTransform(_UpperCamelCase	,     _UpperCamelCase   )
						return cva.warpAffine(_UpperCamelCase	,     _UpperCamelCase	,     (rows, cols)   )


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

					# set different points to rotate image
					SCREAMING_SNAKE_CASE__   =					np.array([[50, 50], [200, 50], [50, 200]], np.floataa)
					SCREAMING_SNAKE_CASE__   =					np.array([[10, 100], [200, 50], [100, 250]], np.floataa)
					SCREAMING_SNAKE_CASE__   =					np.array([[50, 50], [150, 50], [120, 200]], np.floataa)
					SCREAMING_SNAKE_CASE__   =					np.array([[10, 100], [80, 50], [180, 250]], np.floataa)

					# add all rotated images in a list
					SCREAMING_SNAKE_CASE__   =					[
					    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
					SCREAMING_SNAKE_CASE__   =					plt.figure(1)
					SCREAMING_SNAKE_CASE__   =					["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"""
import os





def 				lowerCAmelCase__      (     _UpperCamelCase    :			str = "matrix.txt"   )   ->			int:





						"""simple docstring"""






						with open(os.path.join(os.path.dirname(_UpperCamelCase   )	,     _UpperCamelCase   )   ) as in_file:
												snake_case        =     in_file.read()

						snake_case        =     [[int(_UpperCamelCase   ) for cell in row.split(','   )] for row in data.strip().splitlines()]
						snake_case        =     [[0 for cell in row] for row in grid]
						snake_case        =     len(grid[0]   )

						snake_case        =     [[0 for i in range(_UpperCamelCase   )] for j in range(_UpperCamelCase   )]
						snake_case        =     grid[0][0]
						for i in range(1	,     _UpperCamelCase   ):
												snake_case        =     grid[0][i] + dp[0][i - 1]
						for i in range(1	,     _UpperCamelCase   ):
												snake_case        =     grid[i][0] + dp[i - 1][0]

						for i in range(1	,     _UpperCamelCase   ):
												for j in range(1	,     _UpperCamelCase   ):
																		snake_case        =     grid[i][j] + min(dp[i - 1][j]	,     dp[i][j - 1]   )

						return dp[-1][-1]


if __name__ == "__main__":
					print(f"""{solution() = }""")


