




from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like

def   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE=3					)			->				Optional[int]:
       lowerCamelCase     :   Union[str, Any]    				=      int(mask / 2					)
       # copy image size
       lowerCamelCase     :   Any    				=      zeros_like(_SCREAMING_SNAKE_CASE					)
       for i in range(_SCREAMING_SNAKE_CASE				,gray_img.shape[0] - bd					):
              for j in range(_SCREAMING_SNAKE_CASE				,gray_img.shape[1] - bd					):
                     # get mask according with mask
                     lowerCamelCase     :   List[Any]    				=      ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]					)
                     # calculate mask median
                     lowerCamelCase     :   List[str]    				=      sort(_SCREAMING_SNAKE_CASE					)[inta(divide((multiply(_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					))				,2					) + 1					)]
                     lowerCamelCase     :   Optional[Any]    				=      median
       return median_img


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

       # get values with two different mask size
       SCREAMING_SNAKE_CASE__ :   List[str]						=     median_filter(gray, 3)
       SCREAMING_SNAKE_CASE__ :   List[str]						=     median_filter(gray, 5)

       # show result images
       imshow('median filter with 3x3 mask', medianaxa)
       imshow('median filter with 5x5 mask', medianaxa)
       waitKey(0)












from __future__ import annotations

def   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				list:
       lowerCamelCase     :   int    				=      [None] * (len(_SCREAMING_SNAKE_CASE					) + len(_SCREAMING_SNAKE_CASE					))

       lowerCamelCase     :   Any    				=      0  # pointer to current index for left Half
       lowerCamelCase     :   int    				=      0  # pointer to current index for the right Half
       lowerCamelCase     :   Optional[int]    				=      0  # pointer to current index for the sorted array Half

       while pointera < len(_SCREAMING_SNAKE_CASE					) and pointera < len(_SCREAMING_SNAKE_CASE					):
              if left_half[pointera] < right_half[pointera]:
                     lowerCamelCase     :   Any    				=      left_half[pointera]
                     pointera += 1
                     index += 1
              else:
                     lowerCamelCase     :   Any    				=      right_half[pointera]
                     pointera += 1
                     index += 1
       while pointera < len(_SCREAMING_SNAKE_CASE					):
              lowerCamelCase     :   Optional[Any]    				=      left_half[pointera]
              pointera += 1
              index += 1

       while pointera < len(_SCREAMING_SNAKE_CASE					):
              lowerCamelCase     :   str    				=      right_half[pointera]
              pointera += 1
              index += 1

       return sorted_array

def   A   (   _SCREAMING_SNAKE_CASE					)			->				list:
       if len(_SCREAMING_SNAKE_CASE					) <= 1:
              return array
       # the actual formula to calculate the middle element = left + (right - left) // 2
       # this avoids integer overflow in case of large N
       lowerCamelCase     :   int    				=      0 + (len(_SCREAMING_SNAKE_CASE					) - 0) // 2

       # Split the array into halves till the array length becomes equal to One
       # merge the arrays of single length returned by mergeSort function and
       # pass them into the merge arrays function which merges the array
       lowerCamelCase     :   Optional[Any]    				=      array[:middle]
       lowerCamelCase     :   Optional[Any]    				=      array[middle:]

       return merge(merge_sort(_SCREAMING_SNAKE_CASE					)				,merge_sort(_SCREAMING_SNAKE_CASE					)					)


if __name__ == "__main__":
       import doctest

       doctest.testmod()






