





from __future__ import annotations

UpperCAmelCase_							=				list[tuple[int, int]]

UpperCAmelCase_							=				[
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

UpperCAmelCase_							=				([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right
class     UpperCamelCase__					:






		'''simple docstring'''






		def __init__(							self,   snake_case__,   snake_case__,   snake_case__,   snake_case__,   snake_case__,   snake_case__,   )       -> Optional[Any]:






									"""simple docstring"""
									lowercase_	:   List[Any]  				=     pos_x
									lowercase_	:   int  				=     pos_y
									lowercase_	:   Tuple  				=     (pos_y, pos_x)
									lowercase_	:   Dict  				=     goal_x
									lowercase_	:   Dict  				=     goal_y
									lowercase_	:   Dict  				=     g_cost
									lowercase_	:   Optional[Any]  				=     parent
									lowercase_	:   Dict  				=     self.calculate_heuristic()






		def 						snake_case__				(							self  )       -> float:






									"""simple docstring"""
									lowercase_	:   Optional[Any]  				=     abs(self.pos_x - self.goal_x  )
									lowercase_	:   int  				=     abs(self.pos_y - self.goal_y  )
									return dx + dy






		def __lt__(							self,   snake_case__  )       -> bool:






									"""simple docstring"""
									return self.f_cost < other.f_cost




class     UpperCamelCase__					:






		'''simple docstring'''






		def __init__(							self,   snake_case__,   snake_case__  )       -> List[Any]:






									"""simple docstring"""
									lowercase_	:   int  				=     Node(start[1],   start[0],   goal[1],   goal[0],   0,   snake_case__  )
									lowercase_	:   List[Any]  				=     Node(goal[1],   goal[0],   goal[1],   goal[0],   9_99_99,   snake_case__  )

									lowercase_	:   str  				=     [self.start]
									lowercase_	:   list[Node]  				=     []

									lowercase_	:   int  				=     False






		def 						snake_case__				(							self  )       -> Path | None:






									"""simple docstring"""
									while self.open_nodes:
																# Open Nodes are sorted using __lt__
																self.open_nodes.sort()
																lowercase_	:   Tuple  				=     self.open_nodes.pop(0  )

																if current_node.pos == self.target.pos:
																							lowercase_	:   Union[str, Any]  				=     True
																							return self.retrace_path(snake_case__  )

																self.closed_nodes.append(snake_case__  )
																lowercase_	:   List[str]  				=     self.get_successors(snake_case__  )

																for child_node in successors:
																							if child_node in self.closed_nodes:
																														continue

																							if child_node not in self.open_nodes:
																														self.open_nodes.append(snake_case__  )
																							else:
																														# retrieve the best current path
																														lowercase_	:   List[str]  				=     self.open_nodes.pop(self.open_nodes.index(snake_case__  )  )

																														if child_node.g_cost < better_node.g_cost:
																																					self.open_nodes.append(snake_case__  )
																														else:
																																					self.open_nodes.append(snake_case__  )

									if not self.reached:
																return [self.start.pos]
									return None






		def 						snake_case__				(							self,   snake_case__  )       -> list[Node]:






									"""simple docstring"""
									lowercase_	:   str  				=     []
									for action in delta:
																lowercase_	:   int  				=     parent.pos_x + action[1]
																lowercase_	:   Optional[Any]  				=     parent.pos_y + action[0]

																if not (0 <= pos_x <= len(grid[0]  ) - 1 and 0 <= pos_y <= len(snake_case__  ) - 1):
																							continue

																if grid[pos_y][pos_x] != 0:
																							continue

																successors.append(
																    Node(
																        snake_case__,   snake_case__,   self.target.pos_y,   self.target.pos_x,   parent.g_cost + 1,   snake_case__,   )  )
									return successors






		def 						snake_case__				(							self,   snake_case__  )       -> Path:






									"""simple docstring"""
									lowercase_	:   Union[str, Any]  				=     node
									lowercase_	:   Optional[Any]  				=     []
									while current_node is not None:
																path.append((current_node.pos_y, current_node.pos_x)  )
																lowercase_	:   Any  				=     current_node.parent
									path.reverse()
									return path


if __name__ == "__main__":
							UpperCAmelCase_							=				(0, 0)
							UpperCAmelCase_							=				(len(grid) - 1, len(grid[0]) - 1)
							for elem in grid:
														print(elem)

							print("""------""")

							UpperCAmelCase_							=				GreedyBestFirst(init, goal)
							UpperCAmelCase_							=				greedy_bf.search()
							if path:
														for pos_x, pos_y in path:
																					UpperCAmelCase_							=				2

														for elem in grid:
																					print(elem)






from __future__ import annotations

import numpy as np





def  __magic_name__  (				lowercase				)				-> Tuple:

							"""simple docstring"""



							return np.maximum(0				,       lowercase				)


if __name__ == "__main__":
							print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]