


import cva
import numpy as np







class     _lowercase				:


							"""simple docstring"""




							def __init__(     self							:    Union[str, Any]      ,   __lowerCamelCase							:    float      ,   __lowerCamelCase							:    int ):


													'''simple docstring'''



													if k in (0.0_4, 0.0_6):
																			lowerCamelCase__	:       int					=						k
																			lowerCamelCase__	:       List[str]					=						window_size
													else:
																			raise ValueError("invalid k value" )





							def __str__(     self							:    str ):


													'''simple docstring'''



													return str(self.k )





							def 		lowerCAmelCase  (     self							:    Tuple      ,   __lowerCamelCase							:    str ):


													'''simple docstring'''



													lowerCamelCase__	:       Union[str, Any]					=						cva.imread(__lowerCamelCase      ,   0 )
													lowerCamelCase__	:       Any					=						img.shape
													lowerCamelCase__	:       list[list[int]]					=						[]
													lowerCamelCase__	:       List[Any]					=						img.copy()
													lowerCamelCase__	:       int					=						cva.cvtColor(__lowerCamelCase      ,   cva.COLOR_GRAY2RGB )
													lowerCamelCase__	:       int					=						np.gradient(__lowerCamelCase )
													lowerCamelCase__	:       Dict					=						dx**2
													lowerCamelCase__	:       Optional[Any]					=						dy**2
													lowerCamelCase__	:       int					=						dx * dy
													lowerCamelCase__	:       Union[str, Any]					=						0.0_4
													lowerCamelCase__	:       Any					=						self.window_size // 2
													for y in range(__lowerCamelCase      ,   h - offset ):
																			for x in range(__lowerCamelCase      ,   w - offset ):
																									lowerCamelCase__	:       Optional[Any]					=						ixx[
																									    y - offset : y + offset + 1, x - offset : x + offset + 1
																									].sum()
																									lowerCamelCase__	:       Optional[Any]					=						iyy[
																									    y - offset : y + offset + 1, x - offset : x + offset + 1
																									].sum()
																									lowerCamelCase__	:       str					=						ixy[
																									    y - offset : y + offset + 1, x - offset : x + offset + 1
																									].sum()

																									lowerCamelCase__	:       Optional[Any]					=						(wxx * wyy) - (wxy**2)
																									lowerCamelCase__	:       List[str]					=						wxx + wyy
																									lowerCamelCase__	:       List[Any]					=						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   :					Tuple	=      HarrisCorner(0.0_4, 3)
				A   :					Optional[int]	=      edge_detect.detect("path_to_image")
				cva.imwrite("detect.png", color_img)






def    lowercase_	(	_A    :					int					,      _A    :					int		):

      """simple docstring"""




      if a < 0 or b < 0:
            raise ValueError("the value of both inputs must be positive"		)

      lowerCamelCase__	:       List[str]					=						str(bin(_A		)		)[2:]  # remove the leading "0b"
      lowerCamelCase__	:       List[Any]					=						str(bin(_A		)		)[2:]  # remove the leading "0b"

      lowerCamelCase__	:       List[Any]					=						max(len(_A		)					,      len(_A		)		)

      return "0b" + "".join(
          str(int(char_a != char_b		)		)
          for char_a, char_b in zip(a_binary.zfill(_A		)					,      b_binary.zfill(_A		)		)		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()


