



"""simple docstring"""







import cva
import numpy as np






class      UpperCAmelCase__		:



		def __init__( self  :    List[Any]      ,							snake_case  :    float      ,							snake_case  :    int				)			->						Any:






									'''simple docstring'''

									if k in (0.04, 0.06):
																A         =					k
																A         =					window_size
									else:
																raise ValueError('invalid k value'				)



		def __str__( self  :    List[str]				)			->						str:






									'''simple docstring'''

									return str(self.k				)



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






									'''simple docstring'''

									A         =					cva.imread(snake_case      ,							0				)
									A      ,  A         =					img.shape
									A         =					[]
									A         =					img.copy()
									A         =					cva.cvtColor(snake_case      ,							cva.COLOR_GRAY2RGB				)
									A      ,  A         =					np.gradient(snake_case				)
									A         =					dx**2
									A         =					dy**2
									A         =					dx * dy
									A         =					0.04
									A         =					self.window_size // 2
									for y in range(snake_case      ,							h - offset				):
																for x in range(snake_case      ,							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    =			HarrisCorner(0.04, 3)
							A    ,				A    =			edge_detect.detect('path_to_image')
							cva.imwrite('detect.png', color_img)








"""simple docstring"""







def   lowerCAmelCase__			(     lowerCamelCase__				,      lowerCamelCase__			) ->							float:

							def get_matched_characters(lowerCamelCase__				,      lowerCamelCase__			) -> str:
														A         =					[]
														A         =					min(len(_stra			)				,      len(_stra			)			) // 2
														for i, l in enumerate(_stra			):
																					A         =					int(max(0				,      i - limit			)			)
																					A         =					int(min(i + limit + 1				,      len(_stra			)			)			)
																					if l in _stra[left:right]:
																												matched.append(lowerCamelCase__			)
																												A         =					f"""{_stra[0:_stra.index(lowerCamelCase__			)]} {_stra[_stra.index(lowerCamelCase__			) + 1:]}"""

														return "".join(lowerCamelCase__			)

							# matching characters
							A         =					get_matched_characters(lowerCamelCase__				,      lowerCamelCase__			)
							A         =					get_matched_characters(lowerCamelCase__				,      lowerCamelCase__			)
							A         =					len(lowerCamelCase__			)

							# transposition
							A         =					(
							    len([(ca, ca) for ca, ca in zip(lowerCamelCase__				,      lowerCamelCase__			) if ca != ca]			) // 2
							)

							if not match_count:
														A         =					0.0
							else:
														A         =					(
														    1
														    / 3
														    * (
														        match_count / len(lowerCamelCase__			)
														        + match_count / len(lowerCamelCase__			)
														        + (match_count - transpositions) / match_count
														    )
														)

							# common prefix up to 4 characters
							A         =					0
							for ca, ca in zip(stra[:4]				,      stra[:4]			):
														if ca == ca:
																					prefix_len += 1
														else:
																					break

							return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							print(jaro_winkler('hello', 'world'))



