

'''simple docstring'''







import heapq as hq
import math
from collections.abc import Iterator


class 					A__      :



				def __init__(					self		,				UpperCamelCase__       )						->      Dict:





											'''simple docstring'''
											A_						=      str(id_       )
											A_						=      None
											A_						=      None
											A_						=      []
											A_						=      {}  # {vertex:distance}



				def __lt__(					self		,				UpperCamelCase__       )						->      Any:





											'''simple docstring'''
											return self.key < other.key



				def __repr__(					self       )						->      str:





											'''simple docstring'''
											return self.id



				def 					snake_case_			(					self		,				UpperCamelCase__       )						->      str:





											'''simple docstring'''
											self.neighbors.append(UpperCamelCase__       )







				def 					snake_case_			(					self		,				UpperCamelCase__		,				UpperCamelCase__       )						->      Optional[int]:





											'''simple docstring'''
											A_						=      weight

def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)			->			Tuple:
							# add the neighbors:
							graph[a - 1].add_neighbor(graph[b - 1]				)
							graph[b - 1].add_neighbor(graph[a - 1]				)
							# add the edges:
							graph[a - 1].add_edge(graph[b - 1],       UpperCAmelCase__				)
							graph[b - 1].add_edge(graph[a - 1],       UpperCAmelCase__				)
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__				)			->			list:
							A_						=      []
							for u in graph:
														A_						=      math.inf
														A_						=      None
							A_						=      0
							A_						=      graph[:]
							while q:
														A_						=      min(UpperCAmelCase__				)
														q.remove(UpperCAmelCase__				)
														for v in u.neighbors:
																					if (v in q) and (u.edges[v.id] < v.key):
																												A_						=      u
																												A_						=      u.edges[v.id]
							for i in range(1,       len(UpperCAmelCase__				)				):
														a.append((int(graph[i].id				) + 1, int(graph[i].pi.id				) + 1)				)
							return a
def       UpperCAmelCase__    (      UpperCAmelCase__,       UpperCAmelCase__				)			->			Iterator[tuple]:
							for u in graph:
														A_						=      math.inf
														A_						=      None
							A_						=      0

							A_						=      list(UpperCAmelCase__				)
							hq.heapify(UpperCAmelCase__				)

							while h:
														A_						=      hq.heappop(UpperCAmelCase__				)
														for v in u.neighbors:
																					if (v in h) and (u.edges[v.id] < v.key):
																												A_						=      u
																												A_						=      u.edges[v.id]
																												hq.heapify(UpperCAmelCase__				)

							for i in range(1,       len(UpperCAmelCase__				)				):
														yield (int(graph[i].id				) + 1, int(graph[i].pi.id				) + 1)
def       UpperCAmelCase__    (      )			->			None:
							pass


if __name__ == "__main__":
						import doctest

						doctest.testmod()



'''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		       =    imread(r'''digital_image_processing/image_data/lena_small.jpg''')
__lowerCamelCase		       =    cvtColor(img, COLOR_BGR2GRAY)
def       UpperCAmelCase__    (      )			->			Dict:
       A_						=      cn.convert_to_negative(UpperCAmelCase__				)
       # assert negative_img array for at least one True
       assert negative_img.any()
def       UpperCAmelCase__    (      )			->			List[Any]:
       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__    (      )			->			str:
       A_						=      canny.gen_gaussian_kernel(9,       sigma=1.4				)
       # Assert ambiguous array
       assert resp.all()
def       UpperCAmelCase__    (      )			->			Union[str, Any]:
       A_						=      imread("""digital_image_processing/image_data/lena_small.jpg""",       0				)
       # assert ambiguous array for all == True
       assert canny_img.all()
       A_						=      canny.canny(UpperCAmelCase__				)
       # assert canny array for at least one True
       assert canny_array.any()
def       UpperCAmelCase__    (      )			->			Dict:
       assert gg.gaussian_filter(UpperCAmelCase__,       5,       sigma=0.9				).all()
def       UpperCAmelCase__    (      )			->			int:
       # laplace diagonals
       A_						=      array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]				)
       A_						=      conv.img_convolve(UpperCAmelCase__,       UpperCAmelCase__				).astype(UpperCAmelCase__				)
       assert res.any()
def       UpperCAmelCase__    (      )			->			List[Any]:
       assert med.median_filter(UpperCAmelCase__,       3				).any()
def       UpperCAmelCase__    (      )			->			List[Any]:
       A_					,			A_						=      sob.sobel_filter(UpperCAmelCase__				)
       assert grad.any() and theta.any()
def       UpperCAmelCase__    (      )			->			List[str]:
       A_						=      sp.make_sepia(UpperCAmelCase__,       20				)
       assert sepia.all()
def       UpperCAmelCase__    (      UpperCAmelCase__ = "digital_image_processing/image_data/lena_small.jpg"				)			->			List[Any]:
       A_						=      bs.Burkes(imread(UpperCAmelCase__,       1				),       1_20				)
       burkes.process()
       assert burkes.output_img.any()
def       UpperCAmelCase__    (      UpperCAmelCase__ = "digital_image_processing/image_data/lena_small.jpg",       )			->			Optional[int]:
       A_						=      rs.NearestNeighbour(imread(UpperCAmelCase__,       1				),       4_00,       2_00				)
       nn.process()
       assert nn.output.any()







def       UpperCAmelCase__    (      )			->			Optional[int]:
       A_						=      """digital_image_processing/image_data/lena.jpg"""

       # Reading the image and converting it to grayscale.
       A_						=      imread(UpperCAmelCase__,       0				)

       # Test for get_neighbors_pixel function() return not None
       A_						=      0
       A_						=      0
       A_						=      image[x_coordinate][y_coordinate]

       A_						=      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
       A_						=      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]				):
                     A_						=      lbp.local_binary_value(UpperCAmelCase__,       UpperCAmelCase__,       UpperCAmelCase__				)

       assert lbp_image.any()
