"""simple docstring"""


import cva
import numpy as np

from digital_image_processing.filters.convolve import img_convolve
from digital_image_processing.filters.sobel_filter import sobel_filter

__UpperCamelCase										=     180







def    UpperCAmelCase       (						UpperCAmelCase		,   UpperCAmelCase   )							-> Optional[Any]:
     snake_case_   			=   k_size // 2
     snake_case_   			=   np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
     snake_case_   			=   (
         1
         / (2 * np.pi * sigma)
         * np.exp(-(np.square(_lowercase   ) + np.square(_lowercase   )) / (2 * np.square(_lowercase   ))   )
     )
     return g







def    UpperCAmelCase       (						UpperCAmelCase		,   UpperCAmelCase		,   UpperCAmelCase   )							-> Optional[int]:
     snake_case_   			=   np.zeros(_lowercase   )

     for row in range(1		,   image_shape[0] - 1   ):
          for col in range(1		,   image_shape[1] - 1   ):
               snake_case_   			=   gradient_direction[row, col]

               if (
                   0 <= direction < PI / 8
                   or 15 * PI / 8 <= direction <= 2 * PI
                   or 7 * PI / 8 <= direction <= 9 * PI / 8
               ):
                    snake_case_   			=   sobel_grad[row, col - 1]
                    snake_case_   			=   sobel_grad[row, col + 1]
                    if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
                         snake_case_   			=   sobel_grad[row, col]

               elif (
                   PI / 8 <= direction < 3 * PI / 8
                   or 9 * PI / 8 <= direction < 11 * PI / 8
               ):
                    snake_case_   			=   sobel_grad[row + 1, col - 1]
                    snake_case_   			=   sobel_grad[row - 1, col + 1]
                    if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
                         snake_case_   			=   sobel_grad[row, col]

               elif (
                   3 * PI / 8 <= direction < 5 * PI / 8
                   or 11 * PI / 8 <= direction < 13 * PI / 8
               ):
                    snake_case_   			=   sobel_grad[row - 1, col]
                    snake_case_   			=   sobel_grad[row + 1, col]
                    if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
                         snake_case_   			=   sobel_grad[row, col]

               elif (
                   5 * PI / 8 <= direction < 7 * PI / 8
                   or 13 * PI / 8 <= direction < 15 * PI / 8
               ):
                    snake_case_   			=   sobel_grad[row - 1, col - 1]
                    snake_case_   			=   sobel_grad[row + 1, col + 1]
                    if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
                         snake_case_   			=   sobel_grad[row, col]

     return destination







def    UpperCAmelCase       (						UpperCAmelCase		,   UpperCAmelCase		,   UpperCAmelCase		,   UpperCAmelCase		,   UpperCAmelCase		,   UpperCAmelCase   )							-> Dict:





     for row in range(1		,   image_shape[0] - 1   ):
          for col in range(1		,   image_shape[1] - 1   ):
               if destination[row, col] >= threshold_high:
                    snake_case_   			=   strong
               elif destination[row, col] <= threshold_low:
                    snake_case_   			=   0
               else:
                    snake_case_   			=   weak







def    UpperCAmelCase       (						UpperCAmelCase		,   UpperCAmelCase		,   UpperCAmelCase		,   UpperCAmelCase   )							-> str:





     for row in range(1		,   image_shape[0]   ):
          for col in range(1		,   image_shape[1]   ):
               if destination[row, col] == weak:
                    if 255 in (
                        destination[row, col + 1],
                        destination[row, col - 1],
                        destination[row - 1, col],
                        destination[row + 1, col],
                        destination[row - 1, col - 1],
                        destination[row + 1, col - 1],
                        destination[row - 1, col + 1],
                        destination[row + 1, col + 1],
                    ):
                         snake_case_   			=   strong
                    else:
                         snake_case_   			=   0







def    UpperCAmelCase       (						UpperCAmelCase		,   UpperCAmelCase=15		,   UpperCAmelCase=30		,   UpperCAmelCase=128		,   UpperCAmelCase=255   )							-> Optional[int]:
     snake_case_   			=   img_convolve(_lowercase		,   gen_gaussian_kernel(9		,   sigma=1.4   )   )
     # get the gradient and degree by sobel_filter
     snake_case_   			=   sobel_filter(_lowercase   )
     snake_case_   			=   PI + np.radadeg(_lowercase   )

     snake_case_   			=   suppress_non_maximum(image.shape		,   _lowercase		,   _lowercase   )

     detect_high_low_threshold(
         image.shape		,   _lowercase		,   _lowercase		,   _lowercase		,   _lowercase		,   _lowercase   )

     track_edge(image.shape		,   _lowercase		,   _lowercase		,   _lowercase   )

     return destination


if __name__ == "__main__":
    # read original image in gray mode
    __UpperCamelCase										=     cva.imread(r'''../image_data/lena.jpg''', 0)
    # canny edge detection
    __UpperCamelCase										=     canny(lena)
    cva.imshow('''canny''', canny_destination)
    cva.waitKey(0)


"""simple docstring"""




def 				__a       (			_lowercase							, _lowercase						):







					"""simple docstring"""





					if not root or root not in binary_tree_mirror_dictionary:
										return
					lowerCamelCase__				,						lowerCamelCase__		:   Tuple  				=					binary_tree_mirror_dictionary[root][:2]
					lowerCamelCase__		:   Optional[Any]  				=					[right_child, left_child]
					binary_tree_mirror_dict(_lowercase							, _lowercase						)
					binary_tree_mirror_dict(_lowercase							, _lowercase						)



def 				__a       (			_lowercase							, _lowercase = 1						):







					"""simple docstring"""





					if not binary_tree:
										raise ValueError('''binary tree cannot be empty'''						)
					if root not in binary_tree:
										lowerCamelCase__		:   Dict  				=					f"""root {root} is not present in the binary_tree"""
										raise ValueError(_lowercase						)
					lowerCamelCase__		:   Optional[Any]  				=					dict(_lowercase						)
					binary_tree_mirror_dict(_lowercase							, _lowercase						)
					return binary_tree_mirror_dictionary


if __name__ == "__main__":
					UpperCAmelCase       :    Any									=			{1: [2, 3], 2: [4, 5], 3: [6, 7], 7: [8, 9]}
					print(f'''Binary tree: {binary_tree}''')
					UpperCAmelCase       :    List[Any]									=			binary_tree_mirror(binary_tree, 5)
					print(f'''Binary tree mirror: {binary_tree_mirror_dictionary}''')






