
'''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

A			      =      imread(R'digital_image_processing/image_data/lena_small.jpg')
A			      =      cvtColor(img, COLOR_BGR2GRAY)





def    UpperCAmelCase							(  ):
				lowerCamelCase					:			List[Any]									= cn.convert_to_negative(UpperCAmelCase__)
				# 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(UpperCAmelCase__       ,							1_10)).startswith(
								    '<PIL.Image.Image image mode=RGB size=100x100 at')





def    UpperCAmelCase							(  ):
				lowerCamelCase					:			Union[str, Any]									= canny.gen_gaussian_kernel(9       ,							sigma=1.4)
				# Assert ambiguous array
				assert resp.all()





def    UpperCAmelCase							(  ):
				lowerCamelCase					:			List[Any]									= imread('digital_image_processing/image_data/lena_small.jpg'       ,							0)
				# assert ambiguous array for all == True
				assert canny_img.all()
				lowerCamelCase					:			Optional[Any]									= canny.canny(UpperCAmelCase__)
				# assert canny array for at least one True
				assert canny_array.any()





def    UpperCAmelCase							(  ):
				assert gg.gaussian_filter(UpperCAmelCase__       ,							5       ,							sigma=0.9).all()





def    UpperCAmelCase							(  ):
				# laplace diagonals
				lowerCamelCase					:			Union[str, Any]									= array([[0.2_5, 0.5, 0.2_5], [0.5, -3, 0.5], [0.2_5, 0.5, 0.2_5]])
				lowerCamelCase					:			List[str]									= conv.img_convolve(UpperCAmelCase__       ,							UpperCAmelCase__).astype(UpperCAmelCase__)
				assert res.any()





def    UpperCAmelCase							(  ):
				assert med.median_filter(UpperCAmelCase__       ,							3).any()





def    UpperCAmelCase							(  ):
				lowerCamelCase			, lowerCamelCase					:			Any									= sob.sobel_filter(UpperCAmelCase__)
				assert grad.any() and theta.any()





def    UpperCAmelCase							(  ):
				lowerCamelCase					:			Tuple									= sp.make_sepia(UpperCAmelCase__       ,							20)
				assert sepia.all()





def    UpperCAmelCase							(  UpperCAmelCase__							:							str = "digital_image_processing/image_data/lena_small.jpg"):
				lowerCamelCase					:			int									= bs.Burkes(imread(UpperCAmelCase__       ,							1)       ,							1_20)
				burkes.process()
				assert burkes.output_img.any()





def    UpperCAmelCase							(  UpperCAmelCase__							:							str = "digital_image_processing/image_data/lena_small.jpg"       ,							):
				lowerCamelCase					:			List[str]									= rs.NearestNeighbour(imread(UpperCAmelCase__       ,							1)       ,							4_00       ,							2_00)
				nn.process()
				assert nn.output.any()





def    UpperCAmelCase							(  ):
				lowerCamelCase					:			Any									= 'digital_image_processing/image_data/lena.jpg'

				# Reading the image and converting it to grayscale.
				lowerCamelCase					:			Optional[Any]									= imread(UpperCAmelCase__       ,							0)

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

				lowerCamelCase					:			Union[str, Any]									= lbp.get_neighbors_pixel(
				    UpperCAmelCase__       ,							UpperCAmelCase__       ,							UpperCAmelCase__       ,							UpperCAmelCase__)

				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
				lowerCamelCase					:			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]):
												lowerCamelCase					:			Tuple									= lbp.local_binary_value(UpperCAmelCase__       ,							UpperCAmelCase__       ,							UpperCAmelCase__)

				assert lbp_image.any()


'''simple docstring'''






A			      =      {'a': ['c', 'b'], 'b': ['d', 'e'], 'c': [], 'd': [], 'e': []}
A			      =      ['a', 'b', 'c', 'd', 'e']





def    UpperCAmelCase							(  UpperCAmelCase__							:							Union[str, Any]       ,							UpperCAmelCase__							:							Any       ,							UpperCAmelCase__							:							List[Any]):
				lowerCamelCase					:			List[Any]									= start
				# add current to visited
				visited.append(UpperCAmelCase__)
				lowerCamelCase					:			List[str]									= edges[current]
				for neighbor in neighbors:
								# if neighbor not in visited, visit
								if neighbor not in visited:
												lowerCamelCase					:			Any									= topological_sort(UpperCAmelCase__       ,							UpperCAmelCase__       ,							UpperCAmelCase__)
    # if all neighbors visited add current to sort
				sort.append(UpperCAmelCase__)
				# if all vertices haven't been visited select a new one to visit
				if len(UpperCAmelCase__) != len(UpperCAmelCase__):
								for vertice in vertices:
												if vertice not in visited:
																lowerCamelCase					:			List[str]									= topological_sort(UpperCAmelCase__       ,							UpperCAmelCase__       ,							UpperCAmelCase__)
    # return sort
				return sort


if __name__ == "__main__":
					A			      =      topological_sort('a', [], [])
					print(sort)
