






import numpy as np
class  lowerCAmelCase_       :




							def __init__(   self     :   Dict	):
											lowerCAmelCase__      			=						(0, 0)
											lowerCAmelCase__      			=						None
											lowerCAmelCase__      			=						0
											lowerCAmelCase__      			=						0
											lowerCAmelCase__      			=						0




							def __eq__(   self     :   Optional[int] ,							SCREAMING_SNAKE_CASE_     :   str	):
											return self.position == cell.position




							def 						__snake_case					(   self     :   str	):
											print(self.position	)



class  lowerCAmelCase_       :




							def __init__(   self     :   int ,							SCREAMING_SNAKE_CASE_     :   Any=(5, 5)	):
											lowerCAmelCase__      			=						np.zeros(SCREAMING_SNAKE_CASE_	)
											lowerCAmelCase__      			=						world_size[0]
											lowerCAmelCase__      			=						world_size[1]




							def 						__snake_case					(   self     :   Optional[Any]	):
											print(self.w	)




							def 						__snake_case					(   self     :   List[Any] ,							SCREAMING_SNAKE_CASE_     :   Any	):
											lowerCAmelCase__      			=						[
											    (-1, -1),
											    (-1, 0),
											    (-1, 1),
											    (0, -1),
											    (0, 1),
											    (1, -1),
											    (1, 0),
											    (1, 1),
											]
											lowerCAmelCase__      			=						cell.position[0]
											lowerCAmelCase__      			=						cell.position[1]
											lowerCAmelCase__      			=						[]
											for n in neughbour_cord:
															lowerCAmelCase__      			=						current_x + n[0]
															lowerCAmelCase__      			=						current_y + n[1]
															if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
																			lowerCAmelCase__      			=						Cell()
																			lowerCAmelCase__      			=						(x, y)
																			lowerCAmelCase__      			=						cell
																			neighbours.append(SCREAMING_SNAKE_CASE_	)
											return neighbours





def 	lowerCAmelCase_		(lowercase__						:       Any     ,					lowercase__						:       Union[str, Any]     ,					lowercase__						:       int       )		->    Optional[int]:


				'''simple docstring'''




				lowerCAmelCase__      			=						[]
				lowerCAmelCase__      			=						[]
				_open.append(lowercase__       )

				while _open:
								lowerCAmelCase__      			=						np.argmin([n.f for n in _open]       )
								lowerCAmelCase__      			=						_open[min_f]
								_closed.append(_open.pop(lowercase__       )       )
								if current == goal:
												break
								for n in world.get_neigbours(lowercase__       ):
												for c in _closed:
																if c == n:
																				continue
												lowerCAmelCase__      			=						current.g + 1
												lowerCAmelCase__			,		lowerCAmelCase__      			=						n.position
												lowerCAmelCase__			,		lowerCAmelCase__      			=						goal.position
												lowerCAmelCase__      			=						(ya - ya) ** 2 + (xa - xa) ** 2
												lowerCAmelCase__      			=						n.h + n.g

												for c in _open:
																if c == n and c.f < n.f:
																				continue
												_open.append(lowercase__       )
				lowerCAmelCase__      			=						[]
				while current.parent is not None:
								path.append(current.position       )
								lowerCAmelCase__      			=						current.parent
				path.append(current.position       )
				return path[::-1]


if __name__ == "__main__":
			_UpperCAmelCase			:		Optional[int]   				=    Gridworld()
			# Start position and goal
			_UpperCAmelCase			:		List[str]   				=    Cell()
			_UpperCAmelCase			:		int   				=    (0, 0)
			_UpperCAmelCase			:		Optional[Any]   				=    Cell()
			_UpperCAmelCase			:		List[Any]   				=    (4, 4)
			print(F'''path from {start.position} to {goal.position}''')
			_UpperCAmelCase			:		Optional[int]   				=    astar(world, start, goal)
			#   Just for visual reasons.
			for i in s:
						_UpperCAmelCase			:		Dict   				=    1
			print(world.w)













import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey
class  lowerCAmelCase_       :




							def __init__(   self     :   Union[str, Any] ,							SCREAMING_SNAKE_CASE_     :   Optional[Any] ,							SCREAMING_SNAKE_CASE_     :   int ,							SCREAMING_SNAKE_CASE_     :   int	):
											if dst_width < 0 or dst_height < 0:
															raise ValueError('''Destination width/height should be > 0'''	)

											lowerCAmelCase__      			=						img
											lowerCAmelCase__      			=						img.shape[1]
											lowerCAmelCase__      			=						img.shape[0]
											lowerCAmelCase__      			=						dst_width
											lowerCAmelCase__      			=						dst_height

											lowerCAmelCase__      			=						self.src_w / self.dst_w
											lowerCAmelCase__      			=						self.src_h / self.dst_h

											lowerCAmelCase__      			=						lowerCAmelCase__      			=						(
											    np.ones((self.dst_h, self.dst_w, 3) ,							np.uinta	) * 255
											)




							def 						__snake_case					(   self     :   List[str]	):
											for i in range(self.dst_h	):
															for j in range(self.dst_w	):
																			lowerCAmelCase__      			=						self.img[self.get_y(SCREAMING_SNAKE_CASE_	)][self.get_x(SCREAMING_SNAKE_CASE_	)]




							def 						__snake_case					(   self     :   Any ,							SCREAMING_SNAKE_CASE_     :   int	):
											return int(self.ratio_x * x	)




							def 						__snake_case					(   self     :   List[str] ,							SCREAMING_SNAKE_CASE_     :   int	):
											return int(self.ratio_y * y	)


if __name__ == "__main__":
			_UpperCAmelCase				,   _UpperCAmelCase			:		List[str]   				=    800, 600
			_UpperCAmelCase			:		Tuple   				=    imread("image_data/lena.jpg", 1)
			_UpperCAmelCase			:		str   				=    NearestNeighbour(im, dst_w, dst_h)
			n.process()

			imshow(
			    F'''Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}''', n.output
			)
			waitKey(0)
			destroyAllWindows()





