



from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Union[str, Any]			,       UpperCAmelCase__			:Dict       ):






 '''simple docstring'''

 a		,	a							=		image.shape
 a							=		cols - block_size[1] + 1
 a							=		rows - block_size[0] + 1
 a							=		zeros((dst_height * dst_width, block_size[1] * block_size[0])       )
 a							=		0
 for i in range(0			,       UpperCAmelCase__       ):
  for j in range(0			,       UpperCAmelCase__       ):
   a							=		ravel(image[i : i + block_size[0], j : j + block_size[1]]       )
   a							=		window
   row += 1

 return image_array


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Any			,       UpperCAmelCase__			:int       ):






 '''simple docstring'''

 a		,	a							=		image.shape[0], image.shape[1]
 a							=		filter_kernel.shape[0]
 a							=		k_size // 2
 # Pads image with the edge values of array.
 a							=		pad(UpperCAmelCase__			,       UpperCAmelCase__			,       mode="edge"       )

 # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
 a							=		imacol(UpperCAmelCase__			,       (k_size, k_size)       )

 #  turn the kernel into shape(k*k, 1)
 a							=		ravel(UpperCAmelCase__       )
 # reshape and get the dst image
 a							=		dot(UpperCAmelCase__			,       UpperCAmelCase__       ).reshape(UpperCAmelCase__			,       UpperCAmelCase__       )
 return dst


if __name__ == "__main__":
     # read original image
     A_		:  Union[str, Any]										=  imread(r'''../image_data/lena.jpg''')
     # turn image in gray scale value
     A_		:  Dict										=  cvtColor(img, COLOR_BGR2GRAY)
     # Laplace operator
     A_		:  Optional[int]										=  array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
     A_		:  str										=  img_convolve(gray, Laplace_kernel).astype(uinta)
     imshow('''Laplacian''', out)
     waitKey(0)



def 					SCREAMING_SNAKE_CASE  (   __UpperCamelCase			:    list[int]							)			->							int:

				"""simple docstring"""







				if not isinstance(__UpperCamelCase				,    __UpperCamelCase							) or not all(
				    isinstance(__UpperCamelCase				,    __UpperCamelCase							) and item >= 0 for item in citations							):
								raise ValueError('''The citations should be a list of non negative integers.'''							)

				citations.sort()
				A__	:						str								=				len(__UpperCamelCase							)

				for i in range(__UpperCamelCase							):
								if citations[len_citations - 1 - i] <= i:
												return i

				return len_citations


if __name__ == "__main__":
					import doctest

					doctest.testmod()