

"""simple docstring"""



def 			_snake_case  (     UpperCAmelCase_	:       Dict       , UpperCAmelCase_	:       Dict       , UpperCAmelCase_	:       Any      ):
     A__				      =	index
     A__				      =	2 * index + 1
     A__				      =	2 * index + 2
     if left_index < heap_size and unsorted[left_index] > unsorted[largest]:
          A__				      =	left_index

     if right_index < heap_size and unsorted[right_index] > unsorted[largest]:
          A__				      =	right_index

     if largest != index:
          A__      ,					A__				      =	unsorted[index], unsorted[largest]
          heapify(UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_      )





def 			_snake_case  (     UpperCAmelCase_	:       Union[str, Any]      ):
     A__				      =	len(UpperCAmelCase_      )
     for i in range(n // 2 - 1       , -1       , -1      ):
          heapify(UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_      )
     for i in range(n - 1       , 0       , -1      ):
          A__      ,					A__				      =	unsorted[i], unsorted[0]
          heapify(UpperCAmelCase_       , 0       , UpperCAmelCase_      )
     return unsorted


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_       :						List[str]					=    input('Enter numbers separated by a comma:\n').strip()
 SCREAMING_SNAKE_CASE_       :						str					=    [int(item) for item in user_input.split(',')]
 print(heap_sort(unsorted))









"""simple docstring"""



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





def 			_snake_case  (     UpperCAmelCase_	:       Optional[int]       , UpperCAmelCase_	:       List[Any]=3      ):
     A__				      =	int(mask / 2      )
     # copy image size
     A__				      =	zeros_like(UpperCAmelCase_      )
     for i in range(UpperCAmelCase_       , gray_img.shape[0] - bd      ):
          for j in range(UpperCAmelCase_       , gray_img.shape[1] - bd      ):
               # get mask according with mask
               A__				      =	ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]      )
               # calculate mask median
               A__				      =	sort(UpperCAmelCase_      )[inta(divide((multiply(UpperCAmelCase_       , UpperCAmelCase_      ))       , 2      ) + 1      )]
               A__				      =	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_       :						str					=    cvtColor(img, COLOR_BGR2GRAY)

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

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






