




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

from digital_image_processing.filters.convolve import img_convolve






def  snake_case (							A      )							->							int:




	'''simple docstring'''


	lowerCamelCase_							:		Tuple							       =							np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]]      )
	lowerCamelCase_							:		Optional[int]							       =							np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]]      )

	lowerCamelCase_							:		Union[str, Any]							       =							np.abs(img_convolve(A						,       A      )      )
	lowerCamelCase_							:		List[str]							       =							np.abs(img_convolve(A						,       A      )      )
	# modify the pix within [0, 255]
	lowerCamelCase_							:		Union[str, Any]							       =							dst_x * 255 / np.max(A      )
	lowerCamelCase_							:		Any							       =							dst_y * 255 / np.max(A      )

	lowerCamelCase_							:		Dict							       =							np.sqrt((np.square(A      )) + (np.square(A      ))      )
	lowerCamelCase_							:		List[Any]							       =							dst_xy * 255 / np.max(A      )
	lowerCamelCase_							:		str							       =							dst_xy.astype(np.uinta      )

	lowerCamelCase_							:		int							       =							np.arctana(A						,       A      )
	return dst, theta


if __name__ == "__main__":
							# read original image
							UpperCamelCase__		=						imread('../image_data/lena.jpg')
							# turn image in gray scale value
							UpperCamelCase__		=						cvtColor(img, COLOR_BGR2GRAY)

							UpperCamelCase__	,			UpperCamelCase__		=						sobel_filter(gray)

							# show result images
							imshow('sobel filter', sobel_grad)
							imshow('sobel theta', sobel_theta)
							waitKey(0)






from typing import Callable






def  snake_case (							A      )							->							List[str]:




	'''simple docstring'''


	def wrapper(A      ):
		lowerCamelCase_							:		Dict							       =							function_with_docstring.__doc__
		return target_function

	return wrapper
