





'''simple docstring'''

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




def  _a     (				lowerCAmelCase_      ,   lowerCAmelCase_						):





      """simple docstring"""



      _snake_case  ,				_snake_case		:						int         =  image.shape
      _snake_case		:						int         =  cols - block_size[1] + 1
      _snake_case		:						Tuple         =  rows - block_size[0] + 1
      _snake_case		:						Union[str, Any]         =  zeros((dst_height * dst_width, block_size[1] * block_size[0])						)
      _snake_case		:						Union[str, Any]         =  0
      for i in range(0      ,   lowerCAmelCase_						):
            for j in range(0      ,   lowerCAmelCase_						):
                  _snake_case		:						Dict         =  ravel(image[i : i + block_size[0], j : j + block_size[1]]						)
                  _snake_case		:						List[str]         =  window
                  row += 1

      return image_array




def  _a     (				lowerCAmelCase_      ,   lowerCAmelCase_						):





      """simple docstring"""



      _snake_case  ,				_snake_case		:						Any         =  image.shape[0], image.shape[1]
      _snake_case		:						str         =  filter_kernel.shape[0]
      _snake_case		:						Tuple         =  k_size // 2
      # Pads image with the edge values of array.
      _snake_case		:						Optional[int]         =  pad(lowerCAmelCase_      ,   lowerCAmelCase_      ,   mode='''edge'''						)

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

      #  turn the kernel into shape(k*k, 1)
      _snake_case		:						str         =  ravel(lowerCAmelCase_						)
      # reshape and get the dst image
      _snake_case		:						List[str]         =  dot(lowerCAmelCase_      ,   lowerCAmelCase_						).reshape(lowerCAmelCase_      ,   lowerCAmelCase_						)
      return dst


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









'''simple docstring'''

from __future__ import annotations




def  _a     (				lowerCAmelCase_      ,   lowerCAmelCase_      ,   lowerCAmelCase_      ,   lowerCAmelCase_						):





      """simple docstring"""



      if counter == 0 or capacity == 0:
            return 0

      # If weight of the nth item is more than Knapsack of capacity,
      #   then this item cannot be included in the optimal solution,
      # else return the maximum of two cases:
      #   (1) nth item included
      #   (2) not included
      if weights[counter - 1] > capacity:
            return knapsack(lowerCAmelCase_      ,   lowerCAmelCase_      ,   lowerCAmelCase_      ,   counter - 1						)
      else:
            _snake_case		:						List[str]         =  capacity - weights[counter - 1]
            _snake_case		:						Tuple         =  values[counter - 1] + knapsack(
                lowerCAmelCase_      ,   lowerCAmelCase_      ,   lowerCAmelCase_      ,   counter - 1						)
            _snake_case		:						Any         =  knapsack(lowerCAmelCase_      ,   lowerCAmelCase_      ,   lowerCAmelCase_      ,   counter - 1						)
            return max(lowerCAmelCase_      ,   lowerCAmelCase_						)


if __name__ == "__main__":
   import doctest

   doctest.testmod()


