
"""simple docstring"""






import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread
from numpy import array, uinta
from PIL import Image

from digital_image_processing import change_contrast as cc
from digital_image_processing import convert_to_negative as cn
from digital_image_processing import sepia as sp
from digital_image_processing.dithering import burkes as bs
from digital_image_processing.edge_detection import canny
from digital_image_processing.filters import convolve as conv
from digital_image_processing.filters import gaussian_filter as gg
from digital_image_processing.filters import local_binary_pattern as lbp
from digital_image_processing.filters import median_filter as med
from digital_image_processing.filters import sobel_filter as sob
from digital_image_processing.resize import resize as rs

lowerCamelCase__ :       Union[str, Any]						     =			imread(r"digital_image_processing/image_data/lena_small.jpg")
lowerCamelCase__ :       Tuple						     =			cvtColor(img, COLOR_BGR2GRAY)





def __A						(   )->							Tuple:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Any				= cn.convert_to_negative(a_     )
		# assert negative_img array for at least one True
		assert negative_img.any()





def __A						(   )->							Any:




		'''simple docstring'''






		with Image.open('''digital_image_processing/image_data/lena_small.jpg'''     ) as img:
				# Work around assertion for response
				assert str(cc.change_contrast(a_		,		1_10     )     ).startswith(
				    '''<PIL.Image.Image image mode=RGB size=100x100 at'''     )





def __A						(   )->							Optional[int]:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     List[str]				= canny.gen_gaussian_kernel(9		,		sigma=1.4     )
		# Assert ambiguous array
		assert resp.all()





def __A						(   )->							Optional[int]:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Tuple				= imread('''digital_image_processing/image_data/lena_small.jpg'''		,		0     )
		# assert ambiguous array for all == True
		assert canny_img.all()
		SCREAMING_SNAKE_CASE       :     Any				= canny.canny(a_     )
		# assert canny array for at least one True
		assert canny_array.any()





def __A						(   )->							Optional[int]:




		'''simple docstring'''






		assert gg.gaussian_filter(a_		,		5		,		sigma=0.9     ).all()





def __A						(   )->							int:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     List[Any]				= array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]     )
		SCREAMING_SNAKE_CASE       :     Union[str, Any]				= conv.img_convolve(a_		,		a_     ).astype(a_     )
		assert res.any()





def __A						(   )->							Optional[int]:




		'''simple docstring'''






		assert med.median_filter(a_		,		3     ).any()





def __A						(   )->							Optional[int]:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE,					SCREAMING_SNAKE_CASE       :     Union[str, Any]				= sob.sobel_filter(a_     )
		assert grad.any() and theta.any()





def __A						(   )->							str:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     int				= sp.make_sepia(a_		,		20     )
		assert sepia.all()





def __A						(   a_ :							str = "digital_image_processing/image_data/lena_small.jpg"     )->							Union[str, Any]:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Tuple				= bs.Burkes(imread(a_		,		1     )		,		1_20     )
		burkes.process()
		assert burkes.output_img.any()





def __A						(   a_ :							str = "digital_image_processing/image_data/lena_small.jpg"		,		)->							List[Any]:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Dict				= rs.NearestNeighbour(imread(a_		,		1     )		,		4_00		,		2_00     )
		nn.process()
		assert nn.output.any()





def __A						(   )->							Any:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     List[str]				= '''digital_image_processing/image_data/lena.jpg'''

		# Reading the image and converting it to grayscale.
		SCREAMING_SNAKE_CASE       :     Tuple				= imread(a_		,		0     )

		# Test for get_neighbors_pixel function() return not None
		SCREAMING_SNAKE_CASE       :     str				= 0
		SCREAMING_SNAKE_CASE       :     Any				= 0
		SCREAMING_SNAKE_CASE       :     Optional[int]				= image[x_coordinate][y_coordinate]

		SCREAMING_SNAKE_CASE       :     Dict				= lbp.get_neighbors_pixel(
		    a_		,		a_		,		a_		,		a_     )

		assert neighbors_pixels is not None

		# Test for local_binary_pattern function()
		# Create a numpy array as the same height and width of read image
		SCREAMING_SNAKE_CASE       :     List[Any]				= np.zeros((image.shape[0], image.shape[1])     )

		# Iterating through the image and calculating the local binary pattern value
		# for each pixel.
		for i in range(0		,		image.shape[0]     ):
				for j in range(0		,		image.shape[1]     ):
						SCREAMING_SNAKE_CASE       :     List[str]				= lbp.local_binary_value(a_		,		a_		,		a_     )

		assert lbp_image.any()







"""simple docstring"""






from __future__ import annotations

from numpy import array, cos, cross, floataa, radians, sin
from numpy.typing import NDArray





def __A						(   a_ :							float		,		a_ :							float		,		a_ :							bool = False     )->							list[float]:




		'''simple docstring'''






		if radian_mode:
				return [magnitude * cos(a_     ), magnitude * sin(a_     )]
		return [magnitude * cos(radians(a_     )     ), magnitude * sin(radians(a_     )     )]





def __A						(   a_ :							NDArray[floataa]		,		a_ :							NDArray[floataa]		,		a_ :							float = 10**-1     )->							bool:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     NDArray[floataa]				= cross(a_		,		a_     )
		SCREAMING_SNAKE_CASE       :     float				= sum(a_     )
		return abs(a_     ) < eps


if __name__ == "__main__":
					# Test to check if it works
					lowerCamelCase__ :       Optional[Any]						     =			array(
					    [
					        polar_force(7_1_8.4, 180 - 30),
					        polar_force(8_7_9.5_4, 45),
					        polar_force(100, -90),
					    ]
					)

					lowerCamelCase__ :       NDArray[floataa]						     =			array([[0, 0], [0, 0], [0, 0]])

					assert in_static_equilibrium(forces, location)

					# Problem 1 in image_data/2D_problems.jpg
					lowerCamelCase__ :       Union[str, Any]						     =			array(
					    [
					        polar_force(30 * 9.8_1, 15),
					        polar_force(215, 180 - 45),
					        polar_force(264, 90 - 30),
					    ]
					)

					lowerCamelCase__ :       Any						     =			array([[0, 0], [0, 0], [0, 0]])

					assert in_static_equilibrium(forces, location)

					# Problem in image_data/2D_problems_1.jpg
					lowerCamelCase__ :       Union[str, Any]						     =			array([[0, -2000], [0, -1200], [0, 15600], [0, -12400]])

					lowerCamelCase__ :       Optional[int]						     =			array([[0, 0], [6, 0], [10, 0], [12, 0]])

					assert in_static_equilibrium(forces, location)

					import doctest

					doctest.testmod()





