



import cva
import numpy as np



class 						UpperCAmelCase_					:







							def __init__(     self,    __a,    __a):

														'''simple docstring'''

														if k in (0.04, 0.06):
																					_lowerCAmelCase  :							Any				     =					k
																					_lowerCAmelCase  :							Tuple				     =					window_size
														else:
																					raise ValueError("invalid k value")







							def __str__(     self):

														'''simple docstring'''

														return str(self.k)







							def      snake_case__   (     self,    __a):

														'''simple docstring'''

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

																												_lowerCAmelCase  :							str				     =					(wxx * wyy) - (wxy**2)
																												_lowerCAmelCase  :							List[Any]				     =					wxx + wyy
																												_lowerCAmelCase  :							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__":
						_snake_case	=						HarrisCorner(0.04, 3)
						_snake_case,		_snake_case	=						edge_detect.detect("path_to_image")
						cva.imwrite("detect.png", color_img)





def        A       (      _lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase						):





							'''simple docstring'''




							def count_of_possible_combinations(_lowerCamelCase						) -> int:
														if target < 0:
																					return 0
														if target == 0:
																					return 1
														return sum(count_of_possible_combinations(target - item						) for item in array						)

							return count_of_possible_combinations(_lowerCamelCase						)






def        A       (      _lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase						):





							'''simple docstring'''




							def count_of_possible_combinations_with_dp_array(
							    _lowerCamelCase       ,				_lowerCamelCase						) -> int:
														if target < 0:
																					return 0
														if target == 0:
																					return 1
														if dp_array[target] != -1:
																					return dp_array[target]
														_lowerCAmelCase  :							Optional[int]				     =					sum(
														    count_of_possible_combinations_with_dp_array(target - item       ,				_lowerCamelCase						)
														    for item in array						)
														_lowerCAmelCase  :							Any				     =					answer
														return answer

							_lowerCAmelCase  :							List[Any]				     =					[-1] * (target + 1)
							return count_of_possible_combinations_with_dp_array(_lowerCamelCase       ,				_lowerCamelCase						)






def        A       (      _lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase						):





							'''simple docstring'''




							_lowerCAmelCase  :							List[Any]				     =					[0] * (target + 1)
							_lowerCAmelCase  :							List[str]				     =					1

							for i in range(1       ,				target + 1						):
														for j in range(_lowerCamelCase						):
																					if i - array[j] >= 0:
																												dp_array[i] += dp_array[i - array[j]]

							return dp_array[target]


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						_snake_case	=						3
						_snake_case	=						5
						_snake_case	=						[1, 2, 5]
						print(combination_sum_iv(n, array, target))
