





'''simple docstring'''







from pathlib import Path

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






def  _lowerCamelCase				( lowercase						:      np.ndarray    ,							lowercase						:      np.ndarray    ,							lowercase						:      np.ndarray    ,							lowercase						:      int    ,							lowercase						:      int						)	->	np.ndarray:
				_a								= cva.getAffineTransform(lowercase    ,							lowercase						)
				return cva.warpAffine(lowercase    ,							lowercase    ,							(rows, cols)						)


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

					# set different points to rotate image
					lowerCAmelCase_					:    List[str]      	=			np.array([[50, 50], [2_00, 50], [50, 2_00]], np.floataa)
					lowerCAmelCase_					:    Any      	=			np.array([[10, 1_00], [2_00, 50], [1_00, 2_50]], np.floataa)
					lowerCAmelCase_					:    Optional[Any]      	=			np.array([[50, 50], [1_50, 50], [1_20, 2_00]], np.floataa)
					lowerCAmelCase_					:    Tuple      	=			np.array([[10, 1_00], [80, 50], [1_80, 2_50]], np.floataa)

					# add all rotated images in a list
					lowerCAmelCase_					:    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
					lowerCAmelCase_					:    Optional[int]      	=			plt.figure(1)
					lowerCAmelCase_					:    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  _lowerCamelCase				( lowercase						:      bytes						)	->	str:
				return "".join([hex(lowercase						)[2:].zfill(2						).upper() for byte in list(lowercase						)]						)






def  _lowerCamelCase				( lowercase						:      str						)	->	bytes:
				# Check data validity, following RFC3548
				# https://www.ietf.org/rfc/rfc3548.txt
				if (len(lowercase						) % 2) != 0:
								raise ValueError(
								    "Base16 encoded data is invalid:\nData does not have an even number of hex digits."						)
				# Check the character set - the standard base16 alphabet
				# is uppercase according to RFC3548 section 6
				if not set(lowercase						) <= set("0123456789ABCDEF"						):
								raise ValueError(
								    "Base16 encoded data is invalid:\nData is not uppercase hex or it contains invalid characters."						)
				# For every two hexadecimal digits (= a byte), turn it into an integer.
				# Then, string the result together into bytes, and return it.
				return bytes(int(data[i] + data[i + 1]    ,							16						) for i in range(0    ,							len(lowercase						)    ,							2						)						)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
