




from __future__ import annotations





class 					__lowerCamelCase			:




    """simple docstring"""

    def __init__(			self	:	List[str]  ,      SCREAMING_SNAKE_CASE__	:	Optional[int]=None  ) ->			Optional[int]:
         lowerCAmelCase__            =					data
         lowerCAmelCase__            =					None


    def __repr__(			self	:	str  ) ->			Optional[Any]:
         lowerCAmelCase__            =					[]
         lowerCAmelCase__            =					self
         while temp:
              string_rep.append(f'{temp.data}'  )
              lowerCAmelCase__            =					temp.next
         return "->".join(SCREAMING_SNAKE_CASE__  )






def 				_A  (		lowerCAmelCase_	:   list     ):
     """simple docstring"""

     if not elements_list:
          raise Exception("The Elements List is empty"     )

     lowerCAmelCase__            =					lowerCAmelCase__            =					Node(elements_list[0]     )
     for i in range(1  ,							len(lowerCAmelCase_     )     ):
          lowerCAmelCase__            =					Node(elements_list[i]     )
          lowerCAmelCase__            =					current.next
     return head



def 				_A  (		lowerCAmelCase_	:   Node     ):
     """simple docstring"""

     if head_node is not None and isinstance(lowerCAmelCase_  ,							lowerCAmelCase_     ):
          print_reverse(head_node.next     )
          print(head_node.data     )



def 				_A  (		):
     """simple docstring"""

     from doctest import testmod

     testmod()

     lowerCAmelCase__            =					make_linked_list([14, 52, 14, 12, 43]     )
     print("Linked List:"     )
     print(lowerCAmelCase_     )
     print("Elements in Reverse:"     )
     print_reverse(lowerCAmelCase_     )


if __name__ == "__main__":
     main()


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




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	int		,   SCREAMING_SNAKE_CASE_	:	int		,   SCREAMING_SNAKE_CASE_	:	int		,   SCREAMING_SNAKE_CASE_	:	int		,   SCREAMING_SNAKE_CASE_	:	int		,   SCREAMING_SNAKE_CASE_	:	int       )  ->     np.ndarray:

						# prepare kernel
						# the kernel size have to be odd
						if (ksize % 2) == 0:
												_lowercase					       =					ksize + 1
						_lowercase					       =					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
																		_lowercase					       =					x - ksize // 2
																		_lowercase					       =					y - ksize // 2

																		# degree to radiant
																		_lowercase					       =					theta / 1_80 * np.pi
																		_lowercase					       =					np.cos(_theta       )
																		_lowercase					       =					np.sin(_theta       )

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

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

																		# fill kernel
																		_lowercase					       =					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[Any]								=     imread('''../image_data/lena.jpg''')
		# turn image in gray scale value
		A		: Optional[int]								=     cvtColor(img, COLOR_BGR2GRAY)

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

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

		waitKey(0)