

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

from digital_image_processing.filters.convolve import img_convolve







def a_		(       UpperCamelCase_   :							Dict  )							->   str:







 """simple docstring"""

 lowerCamelCase      						=    np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]]  )
 lowerCamelCase      						=    np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]]  )

 lowerCamelCase      						=    np.abs(img_convolve(UpperCamelCase_   ,					UpperCamelCase_  )  )
 lowerCamelCase      						=    np.abs(img_convolve(UpperCamelCase_   ,					UpperCamelCase_  )  )
 # modify the pix within [0, 255]
 lowerCamelCase      						=    dst_x * 2_5_5 / np.max(UpperCamelCase_  )
 lowerCamelCase      						=    dst_y * 2_5_5 / np.max(UpperCamelCase_  )

 lowerCamelCase      						=    np.sqrt((np.square(UpperCamelCase_  )) + (np.square(UpperCamelCase_  ))  )
 lowerCamelCase      						=    dst_xy * 2_5_5 / np.max(UpperCamelCase_  )
 lowerCamelCase      						=    dst_xy.astype(np.uinta  )

 lowerCamelCase      						=    np.arctana(UpperCamelCase_   ,					UpperCamelCase_  )
 return dst, theta


if __name__ == "__main__":
     # read original image
     _lowerCAmelCase :	Any     				=    imread('../image_data/lena.jpg')
     # turn image in gray scale value
     _lowerCAmelCase :	Optional[int]     				=    cvtColor(img, COLOR_BGR2GRAY)

     _lowerCAmelCase :	Union[str, Any]     				=    sobel_filter(gray)

     # show result images
     imshow('sobel filter', sobel_grad)
     imshow('sobel theta', sobel_theta)
     waitKey(0)









def a_		(       UpperCamelCase_   :							int   ,					UpperCamelCase_   :							list  )							->   list:







 """simple docstring"""

 lowerCamelCase      						=    sorted(UpperCamelCase_   ,					key=lambda UpperCamelCase_  : value[2]   ,					reverse=UpperCamelCase_  )

 # Create a list of size equal to the maximum deadline
 # and initialize it with -1
 lowerCamelCase      						=    max(UpperCamelCase_   ,					key=lambda UpperCamelCase_  : value[1]  )[1]
 lowerCamelCase      						=    [-1] * max_deadline

 # Finding the maximum profit and the count of jobs
 lowerCamelCase      						=    0
 lowerCamelCase      						=    0
 for job in jobs:
  # Find a free time slot for this job
  # (Note that we start from the last possible slot)
  for i in range(job[1] - 1   ,					-1   ,					-1  ):
   if time_slots[i] == -1:
    lowerCamelCase      						=    job[0]
    count += 1
    max_profit += job[2]
    break
 return [count, max_profit]


if __name__ == "__main__":
     import doctest

     doctest.testmod()




