





import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> np.ndarray:




    """simple docstring"""




    if (ksize % 2) == 0:
        _A     =							ksize + 1
    _A     =							np.zeros((ksize, ksize)							,     dtype=np.floataa				)

    # each value
    for y in range(_SCREAMING_SNAKE_CASE				):
        for x in range(_SCREAMING_SNAKE_CASE				):
            # distance from center
            _A     =							x - ksize // 2
            _A     =							y - ksize // 2

            # degree to radiant
            _A     =							theta / 180 * np.pi
            _A     =							np.cos(_theta				)
            _A     =							np.sin(_theta				)

            # get kernel x
            _A     =							cos_theta * px + sin_theta * py

            # get kernel y
            _A     =							-sin_theta * px + cos_theta * py

            # fill kernel
            _A     =							np.exp(
                -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)				) * np.cos(2 * np.pi * _x / lambd + psi				)

    return gabor


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 # read original image
 __A							:			Optional[int]         =			imread("../image_data/lena.jpg")
 # turn image in gray scale value
 __A							:			int         =			cvtColor(img, COLOR_BGR2GRAY)

 # Apply multiple Kernel to detect edges
 __A							:			Any         =			np.zeros(gray.shape[:2])
 for theta in [0, 30, 60, 90, 120, 150]:
  __A							:			int         =			gabor_filter_kernel(10, 8, theta, 10, 0, 0)
  out += filteraD(gray, CV_8UC3, kernel_aa)
 __A							:			str         =			out / out.max() * 255
 __A							:			Any         =			out.astype(np.uinta)

 imshow("Original", gray)
 imshow("Gabor filter with 20x20 mask and 6 directions", out)

 waitKey(0)






import random




def    lowerCAmelCase_  (		lowercase:				int	,       lowercase:				float	,       lowercase:				bool = False		)     ->					dict:







 '''simple docstring'''
 _UpperCamelCase:  dict    						=			{i: [] for i in range(lowercase		)}

 # if probability is greater or equal than 1, then generate a complete graph
 if probability >= 1:
  return complete_graph(lowercase		)
 # if probability is lower or equal than 0, then return a graph without edges
 if probability <= 0:
  return graph

 # for each couple of nodes, add an edge from u to v
 # if the number randomly generated is greater than probability probability
 for i in range(lowercase		):
  for j in range(i + 1	,       lowercase		):
   if random.random() < probability:
    graph[i].append(lowercase		)
    if not directed:
     # if the graph is undirected, add an edge in from j to i, either
     graph[j].append(lowercase		)
 return graph




def    lowerCAmelCase_  (		lowercase:				int		)     ->					dict:







 '''simple docstring'''
 return {
     i: [j for j in range(lowercase		) if i != j] for i in range(lowercase		)
 }


if __name__ == "__main__":
  import doctest

  doctest.testmod()