


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	: List[Any]  				=cvtColor(img, COLOR_BGR2GRAY)


def        _UpperCamelCase							(      ):
						__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		cn.convert_to_negative(lowercase__      )
						# assert negative_img array for at least one True
						assert negative_img.any()


def        _UpperCamelCase							(      ):
						with Image.open('''digital_image_processing/image_data/lena_small.jpg'''      ) as img:
												# Work around assertion for response
												assert str(cc.change_contrast(lowercase__    ,       110      )      ).startswith(
												    '''<PIL.Image.Image image mode=RGB size=100x100 at'''      )


def        _UpperCamelCase							(      ):
						__SCREAMING_SNAKE_CASE						:     List[Any]					=		canny.gen_gaussian_kernel(9    ,       sigma=1.4      )
						# Assert ambiguous array
						assert resp.all()


def        _UpperCamelCase							(      ):
						__SCREAMING_SNAKE_CASE						:     str					=		imread('''digital_image_processing/image_data/lena_small.jpg'''    ,       0      )
						# assert ambiguous array for all == True
						assert canny_img.all()
						__SCREAMING_SNAKE_CASE						:     Dict					=		canny.canny(lowercase__      )
						# assert canny array for at least one True
						assert canny_array.any()


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


def        _UpperCamelCase							(      ):
						# laplace diagonals
						__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						:     Tuple					=		conv.img_convolve(lowercase__    ,       lowercase__      ).astype(lowercase__      )
						assert res.any()


def        _UpperCamelCase							(      ):
						assert med.median_filter(lowercase__    ,       3      ).any()


def        _UpperCamelCase							(      ):
						__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE						:     str					=		sob.sobel_filter(lowercase__      )
						assert grad.any() and theta.any()


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


def        _UpperCamelCase							(      lowercase__ = "digital_image_processing/image_data/lena_small.jpg"      ):
						__SCREAMING_SNAKE_CASE						:     List[str]					=		bs.Burkes(imread(lowercase__    ,       1      )    ,       120      )
						burkes.process()
						assert burkes.output_img.any()


def        _UpperCamelCase							(      lowercase__ = "digital_image_processing/image_data/lena_small.jpg"    ,       ):
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		rs.NearestNeighbour(imread(lowercase__    ,       1      )    ,       400    ,       200      )
						nn.process()
						assert nn.output.any()


def        _UpperCamelCase							(      ):
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		'''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						:     List[str]					=		0
						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		0
						__SCREAMING_SNAKE_CASE						:     str					=		image[x_coordinate][y_coordinate]

						__SCREAMING_SNAKE_CASE						:     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						:     Dict					=		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						:     Optional[Any]					=		lbp.local_binary_value(lowercase__    ,       lowercase__    ,       lowercase__      )

						assert lbp_image.any()




def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__=False      ):

						if isinstance(lowercase__    ,       lowercase__      ) and isinstance(lowercase__    ,       lowercase__      ):
												__SCREAMING_SNAKE_CASE						:     List[str]					=		len(set_a.intersection(lowercase__      )      )

												if alternative_union:
																		__SCREAMING_SNAKE_CASE						:     int					=		len(lowercase__      ) + len(lowercase__      )
												else:
																		__SCREAMING_SNAKE_CASE						:     int					=		len(set_a.union(lowercase__      )      )

												return intersection / union

						if isinstance(lowercase__    ,       (list, tuple)      ) and isinstance(lowercase__    ,       (list, tuple)      ):
												__SCREAMING_SNAKE_CASE						:     Dict					=		[element for element in set_a if element in set_b]

												if alternative_union:
																		__SCREAMING_SNAKE_CASE						:     Optional[int]					=		len(lowercase__      ) + len(lowercase__      )
																		return len(lowercase__      ) / union
												else:
																		__SCREAMING_SNAKE_CASE						:     Tuple					=		set_a + [element for element in set_b if element not in set_a]
																		return len(lowercase__      ) / len(lowercase__      )

												return len(lowercase__      ) / len(lowercase__      )
						return None


if __name__ == "__main__":
						__lowerCAmelCase	: List[Any]  				={'a', 'b', 'c', 'd', 'e'}
						__lowerCAmelCase	: Optional[Any]  				={'c', 'd', 'e', 'f', 'h', 'i'}
						print(jaccard_similarity(set_a, set_b))
