

"""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

lowerCamelCase__			:					Any							  =					1_80
def  UpperCamelCase   (     _lowerCAmelCase       :  Dict,					_lowerCAmelCase       :  Tuple	)			->     Optional[int]:
	_UpperCAmelCase      :							List[str]       =   k_size // 2
	_UpperCAmelCase  ,				_UpperCAmelCase      :							int       =   np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
	_UpperCAmelCase      :							List[str]       =   (
	    1
	    / (2 * np.pi * sigma)
	    * np.exp(-(np.square(_lowerCAmelCase	) + np.square(_lowerCAmelCase	)) / (2 * np.square(_lowerCAmelCase	))	)
	)
	return g
def  UpperCamelCase   (     _lowerCAmelCase       :  Optional[Any],					_lowerCAmelCase       :  List[Any],					_lowerCAmelCase       :  Tuple	)			->     int:
	_UpperCAmelCase      :							str       =   np.zeros(_lowerCAmelCase	)

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

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

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

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

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

	return destination
def  UpperCamelCase   (     _lowerCAmelCase       :  Tuple,					_lowerCAmelCase       :  Dict,					_lowerCAmelCase       :  List[Any],					_lowerCAmelCase       :  str,					_lowerCAmelCase       :  Dict,					_lowerCAmelCase       :  str	)			->     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:
				_UpperCAmelCase      :							Union[str, Any]       =   strong
			elif destination[row, col] <= threshold_low:
				_UpperCAmelCase      :							int       =   0
			else:
				_UpperCAmelCase      :							Tuple       =   weak
def  UpperCamelCase   (     _lowerCAmelCase       :  int,					_lowerCAmelCase       :  List[Any],					_lowerCAmelCase       :  Dict,					_lowerCAmelCase       :  Tuple	)			->     Optional[int]:
	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],
				):
					_UpperCAmelCase      :							Dict       =   strong
				else:
					_UpperCAmelCase      :							Dict       =   0
def  UpperCamelCase   (     _lowerCAmelCase       :  Dict,					_lowerCAmelCase       :  Dict=15,					_lowerCAmelCase       :  Dict=30,					_lowerCAmelCase       :  Any=128,					_lowerCAmelCase       :  Any=255	)			->     Optional[int]:
	# gaussian_filter
	_UpperCAmelCase      :							Optional[int]       =   img_convolve(_lowerCAmelCase,					gen_gaussian_kernel(9,					sigma=1.4	)	)
	# get the gradient and degree by sobel_filter
	_UpperCAmelCase  ,				_UpperCAmelCase      :							int       =   sobel_filter(_lowerCAmelCase	)
	_UpperCAmelCase      :							Any       =   PI + np.radadeg(_lowerCAmelCase	)

	_UpperCAmelCase      :							List[Any]       =   suppress_non_maximum(image.shape,					_lowerCAmelCase,					_lowerCAmelCase	)

	detect_high_low_threshold(
	    image.shape,					_lowerCAmelCase,					_lowerCAmelCase,					_lowerCAmelCase,					_lowerCAmelCase,					_lowerCAmelCase	)

	track_edge(image.shape,					_lowerCAmelCase,					_lowerCAmelCase,					_lowerCAmelCase	)

	return destination


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








"""simple docstring"""






def  UpperCamelCase   (     _lowerCAmelCase       :  int	)			->     str:
	_UpperCAmelCase      :							Any       =   len(_lowerCAmelCase	)
	for _ in range(
	    0,					int(((no_of_elements - 1) / 2) + 1	)	):  # we don't need to traverse to end of list as
		for j in range(0,					no_of_elements - 1	):
			if (
			    lst[j + 1] < lst[j]
			):  # applying bubble sort algorithm from left to right (or forwards)
				_UpperCAmelCase      :							List[str]       =   lst[j + 1]
				_UpperCAmelCase      :							Optional[int]       =   lst[j]
				_UpperCAmelCase      :							Optional[int]       =   temp
			if (
			    lst[no_of_elements - 1 - j] < lst[no_of_elements - 2 - j]
			):  # applying bubble sort algorithm from right to left (or backwards)
				_UpperCAmelCase      :							Any       =   lst[no_of_elements - 1 - j]
				_UpperCAmelCase      :							Optional[Any]       =   lst[no_of_elements - 2 - j]
				_UpperCAmelCase      :							Optional[Any]       =   temp
	return lst


if __name__ == "__main__":
						print('''enter the list to be sorted''')
						lowerCamelCase__			:					List[str]							  =					[int(x) for x in input().split()]  # inputing elements of the list in one line
						lowerCamelCase__			:					int							  =					double_sort(lst)
						print('''the sorted list is''')
						print(sorted_lst)





