






"""simple docstring"""



def        _lowerCAmelCase						(							UpperCAmelCase__    :   List[Any] )						->Dict:
						A__  :					Any											=					len(UpperCAmelCase__ )
						while cur > 1:
												# Find the maximum number in arr
												A__  :					int											=					arr.index(max(arr[0:cur] ) )
												# Reverse from 0 to mi
												A__  :					List[str]											=					arr[mi::-1] + arr[mi + 1 : len(UpperCAmelCase__ )]
												# Reverse whole list
												A__  :					Tuple											=					arr[cur - 1 :: -1] + arr[cur : len(UpperCAmelCase__ )]
												cur -= 1
						return arr


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














"""simple docstring"""



import cva
import numpy as np






class 							__SCREAMING_SNAKE_CASE  :


							def __init__(     self :  Union[str, Any]     ,      snake_case :  float     ,      snake_case :  int							):
													'''simple docstring'''





													if k in (0.04, 0.06):
																			A__  :					Optional[int]											=					k
																			A__  :					int											=					window_size
													else:
																			raise ValueError("""invalid k value"""							)


							def __str__(     self :  List[Any]							):
													'''simple docstring'''





													return str(self.k							)


							def   _UpperCamelCase    (     self :  int     ,      snake_case :  str							):
													'''simple docstring'''





													A__  :					List[str]											=					cva.imread(snake_case     ,      0							)
													A__					,					A__  :					Union[str, Any]											=					img.shape
													A__  :					list[list[int]]											=					[]
													A__  :					Optional[Any]											=					img.copy()
													A__  :					List[str]											=					cva.cvtColor(snake_case     ,      cva.COLOR_GRAY2RGB							)
													A__					,					A__  :					List[Any]											=					np.gradient(snake_case							)
													A__  :					List[Any]											=					dx**2
													A__  :					Any											=					dy**2
													A__  :					Dict											=					dx * dy
													A__  :					Any											=					0.04
													A__  :					Optional[Any]											=					self.window_size // 2
													for y in range(snake_case     ,      h - offset							):
																			for x in range(snake_case     ,      w - offset							):
																									A__  :					List[str]											=					ixx[
																									    y - offset : y + offset + 1, x - offset : x + offset + 1
																									].sum()
																									A__  :					Tuple											=					iyy[
																									    y - offset : y + offset + 1, x - offset : x + offset + 1
																									].sum()
																									A__  :					Optional[int]											=					ixy[
																									    y - offset : y + offset + 1, x - offset : x + offset + 1
																									].sum()

																									A__  :					int											=					(wxx * wyy) - (wxy**2)
																									A__  :					Any											=					wxx + wyy
																									A__  :					List[str]											=					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)






