"""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

_SCREAMING_SNAKE_CASE	:		Union[str, Any]   =   1_8_0



def       A__    (	lowercase_     :	Optional[Any]      , lowercase_     :	Union[str, Any]						)  ->							List[Any]:
   __lowerCamelCase    		=					k_size // 2
   __lowerCamelCase		,__lowerCamelCase    		=					np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
   __lowerCamelCase    		=					(
       1
       / (2 * np.pi * sigma)
       * np.exp(-(np.square(__a						) + np.square(__a						)) / (2 * np.square(__a						))						)
   )
   return g



def       A__    (	lowercase_     :	Optional[int]      , lowercase_     :	Tuple      , lowercase_     :	List[str]						)  ->							Union[str, Any]:
   __lowerCamelCase    		=					np.zeros(__a						)

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

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

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

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

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

   return destination



def       A__    (	lowercase_     :	Tuple      , lowercase_     :	Optional[Any]      , lowercase_     :	Union[str, Any]      , lowercase_     :	int      , lowercase_     :	Optional[Any]      , lowercase_     :	Union[str, Any]						)  ->							List[Any]:
   for row in range(1      , image_shape[0] - 1						):
      for col in range(1      , image_shape[1] - 1						):
         if destination[row, col] >= threshold_high:
            __lowerCamelCase    		=					strong
         elif destination[row, col] <= threshold_low:
            __lowerCamelCase    		=					0
         else:
            __lowerCamelCase    		=					weak



def       A__    (	lowercase_     :	Tuple      , lowercase_     :	int      , lowercase_     :	List[str]      , lowercase_     :	Union[str, Any]						)  ->							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],
            ):
               __lowerCamelCase    		=					strong
            else:
               __lowerCamelCase    		=					0



def       A__    (	lowercase_     :	str      , lowercase_     :	str=15      , lowercase_     :	Optional[int]=30      , lowercase_     :	Dict=128      , lowercase_     :	List[str]=255						)  ->							List[str]:
   __lowerCamelCase    		=					img_convolve(__a      , gen_gaussian_kernel(9      , sigma=1.4						)						)
   # get the gradient and degree by sobel_filter
   __lowerCamelCase		,__lowerCamelCase    		=					sobel_filter(__a						)
   __lowerCamelCase    		=					PI + np.radadeg(__a						)

   __lowerCamelCase    		=					suppress_non_maximum(image.shape      , __a      , __a						)

   detect_high_low_threshold(
       image.shape      , __a      , __a      , __a      , __a      , __a						)

   track_edge(image.shape      , __a      , __a      , __a						)

   return destination


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











UpperCAmelCase							=       (1, 153, 370, 371, 1_634, 24_678_051, 115_132_219_018_763_992_565_095_597_973_971_522_401)
UpperCAmelCase							=       (-153, -1, 0, 1.2, 200, "A", [], {}, None)

def       A_   (						__a  :					int		):

				"""simple docstring"""
				if not isinstance(__a			,		__a		) or n < 1:
								return False

				# Initialization of sum and number of digits.
				a__					   =		0
				a__					   =		0
				a__					   =		n
				# Calculation of digits of the number
				while temp > 0:
								number_of_digits += 1
								temp //= 10
				# Dividing number into separate digits and find Armstrong number
				a__					   =		n
				while temp > 0:
								a__					   =		temp % 10
								total += rem**number_of_digits
								temp //= 10
				return n == total

def       A_   (						__a  :					int		):

				"""simple docstring"""
				if not isinstance(__a			,		__a		) or n < 1:
								return False

				# Init a "histogram" of the digits
				a__					   =		[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
				a__					   =		0
				a__					   =		0
				a__					   =		n
				while temp > 0:
								a__   ,      a__					   =		divmod(__a			,		10		)
								digit_histogram[rem] += 1
								digit_total += 1

				for cnt, i in zip(__a			,		range(len(__a		)		)		):
								total += cnt * i**digit_total

				return n == total

def       A_   (						__a  :					int		):

				"""simple docstring"""
				if not isinstance(__a			,		__a		) or n < 1:
								return False
				a__					   =		len(str(__a		)		)  # the power that all digits will be raised to
				# check if sum of each digit multiplied expo times is equal to number
				return n == sum(int(__a		) ** expo for i in str(__a		)		)

def       A_   (						):

				"""simple docstring"""
				a__					   =		int(input("""Enter an integer to see if it is an Armstrong number: """		).strip()		)
				print(F'''{num} is {"" if armstrong_number(__a		) else "not "}an Armstrong number.'''		)
				print(F'''{num} is {"" if narcissistic_number(__a		) else "not "}an Armstrong number.'''		)
				print(F'''{num} is {"" if pluperfect_number(__a		) else "not "}an Armstrong number.'''		)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()

