

"""simple docstring"""




from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros
def 					lowerCAmelCase  (   __UpperCamelCase							,      __UpperCamelCase ):
 '''simple docstring'''





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

 return image_array
def 					lowerCAmelCase  (   __UpperCamelCase							,      __UpperCamelCase ):
 '''simple docstring'''





 UpperCAmelCase__				, UpperCAmelCase__   :					Union[str, Any]   				=   image.shape[0], image.shape[1]
 UpperCAmelCase__   :					str   				=   filter_kernel.shape[0]
 UpperCAmelCase__   :					Optional[int]   				=   k_size // 2
 # Pads image with the edge values of array.
 UpperCAmelCase__   :					List[Any]   				=   pad(__UpperCamelCase							,      __UpperCamelCase							,      mode="""edge""" )

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

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


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








"""simple docstring"""




from __future__ import annotations
def 					lowerCAmelCase  (   __UpperCamelCase							,      __UpperCamelCase							,      __UpperCamelCase							,      __UpperCamelCase ):
 '''simple docstring'''





 UpperCAmelCase__				, UpperCAmelCase__   :					Optional[Any]   				=   m - 1, 0
 while i >= 0 and j < n:
  if key == mat[i][j]:
   print(F"Key {key} found at row- {i + 1} column- {j + 1}" )
   return
  if key < mat[i][j]:
   i -= 1
  else:
   j += 1
 print(F"Key {key} not found" )
def 					lowerCAmelCase  (   ):
 '''simple docstring'''





 UpperCAmelCase__   :					Union[str, Any]   				=   [[2, 5, 7], [4, 8, 13], [9, 11, 15], [12, 17, 20]]
 UpperCAmelCase__   :					int   				=   int(input("""Enter the element to be searched:""" ) )
 print(__UpperCamelCase )
 search_in_a_sorted_matrix(__UpperCamelCase							,      len(__UpperCamelCase )							,      len(mat[0] )							,      __UpperCamelCase )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()





