




import cva
import numpy as np



class 		_lowercase		:

   def __init__(      self			:       Union[str, Any]							,   __lowerCAmelCase			:       float							,   __lowerCAmelCase			:       int							)       ->				Optional[Any]:


    """simple docstring"""






    if k in (0.0_4, 0.0_6):
     a						=		k
     a						=		window_size
    else:
     raise ValueError("invalid k value"							)

   def __str__(      self			:       Optional[int]							)       ->				str:


    """simple docstring"""






    return str(self.k							)




   def 		A							(      self			:       Optional[int]							,   __lowerCAmelCase			:       str							)       ->				tuple[cva.Mat, list[list[int]]]:


    """simple docstring"""






    a						=		cva.imread(__lowerCAmelCase							,   0							)
    a						=		img.shape
    a						=		[]
    a						=		img.copy()
    a						=		cva.cvtColor(__lowerCAmelCase							,   cva.COLOR_GRAY2RGB							)
    a						=		np.gradient(__lowerCAmelCase							)
    a						=		dx**2
    a						=		dy**2
    a						=		dx * dy
    a						=		0.0_4
    a						=		self.window_size // 2
    for y in range(__lowerCAmelCase							,   h - offset							):
     for x in range(__lowerCAmelCase							,   w - offset							):
      a						=		ixx[
          y - offset : y + offset + 1, x - offset : x + offset + 1
      ].sum()
      a						=		iyy[
          y - offset : y + offset + 1, x - offset : x + offset + 1
      ].sum()
      a						=		ixy[
          y - offset : y + offset + 1, x - offset : x + offset + 1
      ].sum()

      a						=		(wxx * wyy) - (wxy**2)
      a						=		wxx + wyy
      a						=		det - k * (trace**2)
      # Can change the value
      if r > 0.5:
       corner_list.append([x, y, r]							)
       color_img.itemset((y, x, 0)							,   0							)
       color_img.itemset((y, x, 1)							,   0							)
       color_img.itemset((y, x, 2)							,   255							)
    return color_img, corner_list


if __name__ == "__main__":
     A_		:     Optional[int]        =     HarrisCorner(0.04, 3)
     A_		:     Dict        =     edge_detect.detect('''path_to_image''')
     cva.imwrite('''detect.png''', color_img)






from __future__ import annotations

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

A_		:     List[str]        =     (3, 9, -11, 0, 7, 5, 1, -1)
A_		:     Optional[int]        =     (4, 6, 2, 0, 8, 10, 3, -2)



@dataclass
class 		_lowercase		:
   _UpperCAmelCase     	=			42
   _UpperCAmelCase     	=			42



class 		_lowercase		:

   def __init__(      self			:       List[Any]							,   __lowerCAmelCase			:       Iterable[int]							)       ->				None:


    """simple docstring"""






    a						=		None
    for i in sorted(__lowerCAmelCase							,   reverse=__lowerCAmelCase							):
     a						=		Node(__lowerCAmelCase							,   self.head							)

   def __iter__(      self			:       Union[str, Any]							)       ->				Iterator[int]:


    """simple docstring"""






    a						=		self.head
    while node:
     yield node.data
     a						=		node.next_node

   def __len__(      self			:       Tuple							)       ->				int:


    """simple docstring"""






    return sum(1 for _ in self							)




   def __str__(      self			:       Union[str, Any]							)       ->				str:


    """simple docstring"""






    return " -> ".join([str(__lowerCAmelCase							) for node in self]							)


def 	UpperCAmelCase__      (      UpperCAmelCase__ :SortedLinkedList ,					UpperCAmelCase__ :SortedLinkedList					):






 '''simple docstring'''

 return SortedLinkedList(list(UpperCAmelCase__					) + list(UpperCAmelCase__					)					)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     A_		:     Optional[Any]        =     SortedLinkedList
     print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))

