
'''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

_lowercase :  Dict    							=       imread(r"digital_image_processing/image_data/lena_small.jpg")
_lowercase :  List[str]    							=       cvtColor(img, COLOR_BGR2GRAY)
def 					snake_case_		(				):



						"""simple docstring"""





						lowercase_	:     Optional[int]													=       cn.convert_to_negative(__SCREAMING_SNAKE_CASE							)
						# assert negative_img array for at least one True
						assert negative_img.any()
def 					snake_case_		(				):



						"""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(__SCREAMING_SNAKE_CASE      ,      110							)							).startswith(
												    '''<PIL.Image.Image image mode=RGB size=100x100 at'''							)
def 					snake_case_		(				):



						"""simple docstring"""





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



						"""simple docstring"""





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



						"""simple docstring"""





						assert gg.gaussian_filter(__SCREAMING_SNAKE_CASE      ,      5      ,      sigma=0.9							).all()
def 					snake_case_		(				):



						"""simple docstring"""





						lowercase_	:     Tuple													=       array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]							)
						lowercase_	:     Optional[Any]													=       conv.img_convolve(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							).astype(__SCREAMING_SNAKE_CASE							)
						assert res.any()
def 					snake_case_		(				):



						"""simple docstring"""





						assert med.median_filter(__SCREAMING_SNAKE_CASE      ,      3							).any()
def 					snake_case_		(				):



						"""simple docstring"""





						lowercase_						, lowercase_	:     List[str]													=       sob.sobel_filter(__SCREAMING_SNAKE_CASE							)
						assert grad.any() and theta.any()
def 					snake_case_		(				):



						"""simple docstring"""





						lowercase_	:     int													=       sp.make_sepia(__SCREAMING_SNAKE_CASE      ,      20							)
						assert sepia.all()
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str = "digital_image_processing/image_data/lena_small.jpg"							):



						"""simple docstring"""





						lowercase_	:     int													=       bs.Burkes(imread(__SCREAMING_SNAKE_CASE      ,      1							)      ,      120							)
						burkes.process()
						assert burkes.output_img.any()
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str = "digital_image_processing/image_data/lena_small.jpg"      ,      ):



						"""simple docstring"""





						lowercase_	:     Any													=       rs.NearestNeighbour(imread(__SCREAMING_SNAKE_CASE      ,      1							)      ,      400      ,      200							)
						nn.process()
						assert nn.output.any()




def 					snake_case_		(				):



						"""simple docstring"""





						lowercase_	:     Optional[Any]													=       '''digital_image_processing/image_data/lena.jpg'''

						# Reading the image and converting it to grayscale.
						lowercase_	:     List[Any]													=       imread(__SCREAMING_SNAKE_CASE      ,      0							)

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

						lowercase_	:     Any													=       lbp.get_neighbors_pixel(
						    __SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							)

						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
						lowercase_	:     int													=       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]							):
																		lowercase_	:     Optional[Any]													=       lbp.local_binary_value(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							)

						assert lbp_image.any()





'''simple docstring'''







from __future__ import annotations

from collections import Counter
from random import random






class  lowerCAmelCase__   :






					def __init__(   self		):


											"""simple docstring"""





											lowercase_	:     int													=       {}






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Dict													=       {}






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if nodea not in self.connections:
																	self.add_node(__SCREAMING_SNAKE_CASE		)
											if nodea not in self.connections:
																	self.add_node(__SCREAMING_SNAKE_CASE		)
											lowercase_	:     Optional[Any]													=       probability






					def 	_snake_case    (   self		):


											"""simple docstring"""





											return list(self.connections		)






					def 	_snake_case    (   self				,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_	:     Any													=       0
											lowercase_	:     Tuple													=       random()

											for dest in self.connections[node]:
																	current_probability += self.connections[node][dest]
																	if current_probability > random_value:
																							return dest
											return ""







def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str      ,      __SCREAMING_SNAKE_CASE					: list[tuple[str, str, float]]      ,      __SCREAMING_SNAKE_CASE					: int							):



						"""simple docstring"""





						lowercase_	:     List[Any]													=       MarkovChainGraphUndirectedUnweighted()

						for nodea, nodea, probability in transitions:
												graph.add_transition_probability(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							)

						lowercase_	:     str													=       Counter(graph.get_nodes()							)
						lowercase_	:     Any													=       start

						for _ in range(__SCREAMING_SNAKE_CASE							):
												lowercase_	:     int													=       graph.transition(__SCREAMING_SNAKE_CASE							)
												visited[node] += 1

						return visited


if __name__ == "__main__":
							import doctest

							doctest.testmod()



