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

SCREAMING_SNAKE_CASE__		:       int       						=       imread(r"digital_image_processing/image_data/lena_small.jpg")
SCREAMING_SNAKE_CASE__		:       List[Any]       						=       cvtColor(img, COLOR_BGR2GRAY)







def      _a					(   ):







     '''simple docstring'''


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







def      _a					(   ):







     '''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(lowercase__  ,	1_10			)			).startswith(
              '<PIL.Image.Image image mode=RGB size=100x100 at'			)







def      _a					(   ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					str      =		canny.gen_gaussian_kernel(9  ,	sigma=1.4			)
     # Assert ambiguous array
     assert resp.all()







def      _a					(   ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					Optional[int]      =		imread('digital_image_processing/image_data/lena_small.jpg'  ,	0			)
     # assert ambiguous array for all == True
     assert canny_img.all()
     SCREAMING_SNAKE_CASE__					:					List[str]      =		canny.canny(lowercase__			)
     # assert canny array for at least one True
     assert canny_array.any()







def      _a					(   ):







     '''simple docstring'''


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







def      _a					(   ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					Any      =		array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]			)
     SCREAMING_SNAKE_CASE__					:					Tuple      =		conv.img_convolve(lowercase__  ,	lowercase__			).astype(lowercase__			)
     assert res.any()







def      _a					(   ):







     '''simple docstring'''


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







def      _a					(   ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__      ,				SCREAMING_SNAKE_CASE__					:					int      =		sob.sobel_filter(lowercase__			)
     assert grad.any() and theta.any()







def      _a					(   ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					List[str]      =		sp.make_sepia(lowercase__  ,	20			)
     assert sepia.all()







def      _a					(   lowercase__	:      str = "digital_image_processing/image_data/lena_small.jpg"			):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					str      =		bs.Burkes(imread(lowercase__  ,	1			)  ,	1_20			)
     burkes.process()
     assert burkes.output_img.any()







def      _a					(   lowercase__	:      str = "digital_image_processing/image_data/lena_small.jpg"  ,	):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					Optional[Any]      =		rs.NearestNeighbour(imread(lowercase__  ,	1			)  ,	4_00  ,	2_00			)
     nn.process()
     assert nn.output.any()







def      _a					(   ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					Dict      =		'digital_image_processing/image_data/lena.jpg'

     # Reading the image and converting it to grayscale.
     SCREAMING_SNAKE_CASE__					:					Dict      =		imread(lowercase__  ,	0			)

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

     SCREAMING_SNAKE_CASE__					:					List[Any]      =		lbp.get_neighbors_pixel(
         lowercase__  ,	lowercase__  ,	lowercase__  ,	lowercase__			)

     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__					:					Optional[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__					:					str      =		lbp.local_binary_value(lowercase__  ,	lowercase__  ,	lowercase__			)

     assert lbp_image.any()











"""simple docstring"""





def   a    (     __UpperCAmelCase      :    int      ,   __UpperCAmelCase      :    int  )    ->							int:
						while b:
												__magic_name__,			__magic_name__:	Optional[int]							=       b, a % b
						return a



def   a    (     __UpperCAmelCase      :    int      ,   __UpperCAmelCase      :    int  )    ->							int:
						return a if b == 0 else euclidean_gcd_recursive(__UpperCAmelCase      ,   a % b  )



def   a    (     )    ->							List[Any]:
						print(f'euclidean_gcd(3, 5) = {euclidean_gcd(3      ,   5  )}'  )
						print(f'euclidean_gcd(5, 3) = {euclidean_gcd(5      ,   3  )}'  )
						print(f'euclidean_gcd(1, 3) = {euclidean_gcd(1      ,   3  )}'  )
						print(f'euclidean_gcd(3, 6) = {euclidean_gcd(3      ,   6  )}'  )
						print(f'euclidean_gcd(6, 3) = {euclidean_gcd(6      ,   3  )}'  )

						print(f'euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3      ,   5  )}'  )
						print(f'euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5      ,   3  )}'  )
						print(f'euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1      ,   3  )}'  )
						print(f'euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3      ,   6  )}'  )
						print(f'euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6      ,   3  )}'  )


if __name__ == "__main__":
							main()



