"""simple docstring"""




import numpy as np
class 			UpperCamelCase__:





						def __init__(				self   )    -> List[str]:
													A__		   =							(0, 0)
													A__		   =							None
													A__		   =							0
													A__		   =							0
													A__		   =							0





						def __eq__(				self						,__UpperCAmelCase   )    -> str:
													return self.position == cell.position





						def  snake_case__		(				self   )    -> Dict:
													print(self.position   )






class 			UpperCamelCase__:





						def __init__(				self						,__UpperCAmelCase=(5, 5)   )    -> Optional[Any]:
													A__		   =							np.zeros(lowercase_   )
													A__		   =							world_size[0]
													A__		   =							world_size[1]





						def  snake_case__		(				self   )    -> Any:
													print(self.w   )





						def  snake_case__		(				self						,__UpperCAmelCase   )    -> Optional[int]:
													A__		   =							[
													    (-1, -1),
													    (-1, 0),
													    (-1, 1),
													    (0, -1),
													    (0, 1),
													    (1, -1),
													    (1, 0),
													    (1, 1),
													]
													A__		   =							cell.position[0]
													A__		   =							cell.position[1]
													A__		   =							[]
													for n in neughbour_cord:
																				A__		   =							current_x + n[0]
																				A__		   =							current_y + n[1]
																				if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
																											A__		   =							Cell()
																											A__		   =							(x, y)
																											A__		   =							cell
																											neighbours.append(lowercase_   )
													return neighbours






def      UpperCAmelCase    (		UpperCamelCase__				,			UpperCamelCase__				,			UpperCamelCase__ ):






							"""simple docstring"""





							A__		   =							[]
							A__		   =							[]
							_open.append(__lowerCamelCase )

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

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


if __name__ == "__main__":
				__lowerCamelCase							 =     Gridworld()
				# Start position and goal
				__lowerCamelCase							 =     Cell()
				__lowerCamelCase							 =     (0, 0)
				__lowerCamelCase							 =     Cell()
				__lowerCamelCase							 =     (4, 4)
				print(F'''path from {start.position} to {goal.position}''')
				__lowerCamelCase							 =     astar(world, start, goal)
				#   Just for visual reasons.
				for i in s:
								__lowerCamelCase							 =     1
				print(world.w)







"""simple docstring"""





from __future__ import annotations







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_     ,   UpperCAmelCase_					:					str			     =    set(__lowerCamelCase  ), [start]

   while stack:
      UpperCAmelCase_					:					Any			     =    stack.pop()
      explored.add(__lowerCamelCase  )
      # Differences from BFS:
      # 1) pop last element instead of first one
      # 2) add adjacent elements to stack without exploring them
      for adj in reversed(graph[v]  ):
         if adj not in explored:
            stack.append(__lowerCamelCase  )
   return explored


_a		       =							{
    'A': ['B', 'C', 'D'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F'],
    'D': ['B', 'D'],
    'E': ['B', 'F'],
    'F': ['C', 'E', 'G'],
    'G': ['F'],
}

if __name__ == "__main__":
    import doctest

    doctest.testmod()
    print(depth_first_search(G, 'A'))


