


from __future__ import annotations

import sys
from collections import deque
from typing import Generic, TypeVar

a					  =     TypeVar('T')







class        UpperCamelCase__   (	Generic[T]   ):
					__SCREAMING_SNAKE_CASE       :  deque[T]  # Cache store of keys
					__SCREAMING_SNAKE_CASE       :  set[T]  # References of the keys in cache
					__SCREAMING_SNAKE_CASE       :  int						=   10  # Maximum capacity of cache

					def __init__(     self       :   str							,					UpperCamelCase__       :   int       ):






										'''simple docstring'''






										lowercase_  							=			deque()
										lowercase_  							=			set()
										if not n:
															lowercase_  							=			sys.maxsize
										elif n < 0:
															raise ValueError("""n should be an integer greater than 0."""       )
										else:
															lowercase_  							=			n

					def   UpperCAmelCase__       (     self       :   Optional[int]							,					UpperCamelCase__       :   T       ):






										'''simple docstring'''






										if x not in self.key_reference:
															if len(self.dq_store       ) == LRUCache._MAX_CAPACITY:
																				lowercase_  							=			self.dq_store.pop()
																				self.key_reference.remove(UpperCamelCase__       )
										else:
															self.dq_store.remove(UpperCamelCase__       )

										self.dq_store.appendleft(UpperCamelCase__       )
										self.key_reference.add(UpperCamelCase__       )

					def   UpperCAmelCase__       (     self       :   List[Any]       ):






										'''simple docstring'''






										for k in self.dq_store:
															print(UpperCamelCase__       )







					def __repr__(     self       :   Optional[Any]       ):






										'''simple docstring'''






										return F'''LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store       )}'''


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							a					  =     LRUCache(4)
							lru_cache.refer('A')
							lru_cache.refer(2)
							lru_cache.refer(3)
							lru_cache.refer('A')
							lru_cache.refer(4)
							lru_cache.refer(5)
							lru_cache.display()

							print(lru_cache)
							assert str(lru_cache) == "LRUCache(4) => [5, 4, 'A', 3]"






import cva
import numpy as np







class        UpperCamelCase__   :

					def __init__(     self       :   List[str]							,					UpperCamelCase__       :   float							,					UpperCamelCase__       :   int       ):






										'''simple docstring'''






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

					def __str__(     self       :   Optional[int]       ):






										'''simple docstring'''






										return str(self.k       )







					def   UpperCAmelCase__       (     self       :   Optional[Any]							,					UpperCamelCase__       :   str       ):






										'''simple docstring'''






										lowercase_  							=			cva.imread(UpperCamelCase__							,					0       )
										lowercase_							,					lowercase_  							=			img.shape
										lowercase_  							=			[]
										lowercase_  							=			img.copy()
										lowercase_  							=			cva.cvtColor(UpperCamelCase__							,					cva.COLOR_GRAY2RGB       )
										lowercase_							,					lowercase_  							=			np.gradient(UpperCamelCase__       )
										lowercase_  							=			dx**2
										lowercase_  							=			dy**2
										lowercase_  							=			dx * dy
										lowercase_  							=			0.04
										lowercase_  							=			self.window_size // 2
										for y in range(UpperCamelCase__							,					h - offset       ):
															for x in range(UpperCamelCase__							,					w - offset       ):
																				lowercase_  							=			ixx[
																				    y - offset : y + offset + 1, x - offset : x + offset + 1
																				].sum()
																				lowercase_  							=			iyy[
																				    y - offset : y + offset + 1, x - offset : x + offset + 1
																				].sum()
																				lowercase_  							=			ixy[
																				    y - offset : y + offset + 1, x - offset : x + offset + 1
																				].sum()

																				lowercase_  							=			(wxx * wyy) - (wxy**2)
																				lowercase_  							=			wxx + wyy
																				lowercase_  							=			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)


