


'''simple docstring'''

from pathlib import Path

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





def lowerCamelCase			(			lowerCAmelCase				:	Optional[int]		,		lowerCAmelCase				:	Any		,		lowerCAmelCase				:	Union[str, Any]		,		lowerCAmelCase				:	Optional[int]		,		lowerCAmelCase				:	List[str]		):





	"""simple docstring"""







	__magic_name__       :    str     	=     cva.getAffineTransform(_a		,		_a		)
	return cva.warpAffine(_a		,		_a		,		(rows, cols)		)


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

							# set different points to rotate image
							lowerCAmelCase      :Tuple    	=			np.array([[5_0, 5_0], [2_0_0, 5_0], [5_0, 2_0_0]], np.floataa)
							lowerCAmelCase      :str    	=			np.array([[1_0, 1_0_0], [2_0_0, 5_0], [1_0_0, 2_5_0]], np.floataa)
							lowerCAmelCase      :Union[str, Any]    	=			np.array([[5_0, 5_0], [1_5_0, 5_0], [1_2_0, 2_0_0]], np.floataa)
							lowerCAmelCase      :int    	=			np.array([[1_0, 1_0_0], [8_0, 5_0], [1_8_0, 2_5_0]], np.floataa)

							# add all rotated images in a list
							lowerCAmelCase      :Tuple    	=			[
							    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      :Tuple    	=			plt.figure(1)
							lowerCAmelCase      :Optional[Any]    	=			['''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 __lowercase			(							_a		,			_a		,			_a		,			):
    if (stress, tangential_force, area).count(0    ) != 1:
        raise ValueError('''You cannot supply more or less than 2 values'''    )
    elif stress < 0:
        raise ValueError('''Stress cannot be negative'''    )
    elif tangential_force < 0:
        raise ValueError('''Tangential Force cannot be negative'''    )
    elif area < 0:
        raise ValueError('''Area cannot be negative'''    )
    elif stress == 0:
        return (
            "stress",
            tangential_force / area,
        )
    elif tangential_force == 0:
        return (
            "tangential_force",
            stress * area,
        )
    else:
        return (
            "area",
            tangential_force / stress,
        )


if __name__ == "__main__":
     import doctest

     doctest.testmod()





