
"""simple docstring"""







from pathlib import Path

import cva
import numpy as np
from matplotlib import pyplot as plt
def     __lowerCAmelCase				(_UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase       ,  _UpperCamelCase		):
	__lowerCAmelCase			:						int									=      cva.getAffineTransform(_UpperCamelCase       ,  _UpperCamelCase		)
	return cva.warpAffine(_UpperCamelCase       ,  _UpperCamelCase       ,  (rows, cols)		)


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

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

							# add all rotated images in a list
							lowerCamelCase__   					=		[
							    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__   					=		plt.figure(1)
							lowerCamelCase__   					=		["""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=0.0_5, right=1.0, top=0.9_5)
							plt.show()






lowerCAmelCase_    =				{
    "joule": 1.0,
    "kilojoule": 1_0_0_0,
    "megajoule": 1_0_0_0_0_0_0,
    "gigajoule": 1_0_0_0_0_0_0_0_0_0,
    "wattsecond": 1.0,
    "watthour": 3_6_0_0,
    "kilowatthour": 3_6_0_0_0_0_0,
    "newtonmeter": 1.0,
    "calorie_nutr": 4_1_8_6.8,
    "kilocalorie_nutr": 4_1_8_6_8_0_0.0_0,
    "electronvolt": 1.602_176_634e-19,
    "britishthermalunit_it": 1_0_5_5.0_5_5_8_5,
    "footpound": 1.355_818,
}






def      lowerCamelCase_						(				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase )		->						float:






				"""simple docstring"""


				if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
								snake_case_						:    str				=  (
								    f'''Incorrect \'from_type\' or \'to_type\' value: {from_type!r}, {to_type!r}\n'''
								    f'''Valid values are: {", ".join(_UpperCamelCase )}'''
								)
								raise ValueError(_UpperCamelCase )
				return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
	import doctest

	doctest.testmod()
