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



def 						__snake_case (       lowerCAmelCase       :     Union[str, Any]      ,  lowerCAmelCase       :     Tuple			):
 __UpperCAmelCase  ,			__UpperCAmelCase         =					image.shape
 __UpperCAmelCase         =					cols - block_size[1] + 1
 __UpperCAmelCase         =					rows - block_size[0] + 1
 __UpperCAmelCase         =					zeros((dst_height * dst_width, block_size[1] * block_size[0])			)
 __UpperCAmelCase         =					0
 for i in range(0      ,  lowerCAmelCase			):
  for j in range(0      ,  lowerCAmelCase			):
   __UpperCAmelCase         =					ravel(image[i : i + block_size[0], j : j + block_size[1]]			)
   __UpperCAmelCase         =					window
   row += 1

 return image_array



def 						__snake_case (       lowerCAmelCase       :     List[str]      ,  lowerCAmelCase       :     str			):
 __UpperCAmelCase  ,			__UpperCAmelCase         =					image.shape[0], image.shape[1]
 __UpperCAmelCase         =					filter_kernel.shape[0]
 __UpperCAmelCase         =					k_size // 2
 # Pads image with the edge values of array.
 __UpperCAmelCase         =					pad(lowerCAmelCase      ,  lowerCAmelCase      ,  mode='edge'			)

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

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


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




'''simple docstring'''




def 						__snake_case (       lowerCAmelCase       :     str			):
 __UpperCAmelCase         =					5381
 for x in s:
  __UpperCAmelCase         =					((hash_value << 5) + hash_value) + ord(lowerCAmelCase			)
 return hash_value & 0Xffff_ffff



