
'''simple docstring'''


from __future__ import annotations

__lowercase				: Tuple											=  list[tuple[int, int]]

__lowercase				: Optional[Any]											=  [
    [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],
]

__lowercase				: Optional[int]											=  ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right

class 						__lowercase					:

			def __init__(self      , A      , A      , A      , A      , A      , A      , ):
								lowerCamelCase_       :   Optional[int]  =		pos_x
								lowerCamelCase_       :   str  =		pos_y
								lowerCamelCase_       :   Optional[int]  =		(pos_y, pos_x)
								lowerCamelCase_       :   Any  =		goal_x
								lowerCamelCase_       :   int  =		goal_y
								lowerCamelCase_       :   str  =		g_cost
								lowerCamelCase_       :   Tuple  =		parent
								lowerCamelCase_       :   Any  =		self.calculate_heuristic()

			def 							UpperCAmelCase__			(self   ):
								lowerCamelCase_       :   int  =		abs(self.pos_x - self.goal_x   )
								lowerCamelCase_       :   List[str]  =		abs(self.pos_y - self.goal_y   )
								return dx + dy






			def __lt__(self      , A   ):
								return self.f_cost < other.f_cost

class 						__lowercase					:

			def __init__(self      , A      , A   ):
								lowerCamelCase_       :   Tuple  =		Node(start[1]      , start[0]      , goal[1]      , goal[0]      , 0      , _lowercase   )
								lowerCamelCase_       :   int  =		Node(goal[1]      , goal[0]      , goal[1]      , goal[0]      , 9_9_9_9_9      , _lowercase   )

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

								lowerCamelCase_       :   Dict  =		False

			def 							UpperCAmelCase__			(self   ):
								while self.open_nodes:
													# Open Nodes are sorted using __lt__
													self.open_nodes.sort()
													lowerCamelCase_       :   Optional[int]  =		self.open_nodes.pop(0   )

													if current_node.pos == self.target.pos:
																		lowerCamelCase_       :   List[str]  =		True
																		return self.retrace_path(_lowercase   )

													self.closed_nodes.append(_lowercase   )
													lowerCamelCase_       :   Any  =		self.get_successors(_lowercase   )

													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(_lowercase   )
																		else:
																							# retrieve the best current path
																							lowerCamelCase_       :   Optional[int]  =		self.open_nodes.pop(self.open_nodes.index(_lowercase   )   )

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

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

			def 							UpperCAmelCase__			(self      , A   ):
								lowerCamelCase_       :   int  =		[]
								for action in delta:
													lowerCamelCase_       :   Dict  =		parent.pos_x + action[1]
													lowerCamelCase_       :   str  =		parent.pos_y + action[0]

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

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

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






			def 							UpperCAmelCase__			(self      , A   ):
								lowerCamelCase_       :   Tuple  =		node
								lowerCamelCase_       :   List[Any]  =		[]
								while current_node is not None:
													path.append((current_node.pos_y, current_node.pos_x)   )
													lowerCamelCase_       :   Optional[Any]  =		current_node.parent
								path.reverse()
								return path


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

					print('''------''')

					__lowercase				: Optional[int]											=  GreedyBestFirst(init, goal)
					__lowercase				: Tuple											=  greedy_bf.search()
					if path:
										for pos_x, pos_y in path:
															__lowercase				: str											=  2

										for elem in grid:
															print(elem)







"""simple docstring"""







A		=						8.31_4462  # Unit - J mol-1 K-1

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							float     ,		lowerCamelCase_:							float     ,		lowerCamelCase_:							float ):
						"""simple docstring"""






						if moles < 0 or kelvin < 0 or volume < 0:
												raise ValueError("Invalid inputs. Enter positive value." )
						return moles * kelvin * UNIVERSAL_GAS_CONSTANT / volume

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							float     ,		lowerCamelCase_:							float     ,		lowerCamelCase_:							float ):
						"""simple docstring"""






						if moles < 0 or kelvin < 0 or pressure < 0:
												raise ValueError("Invalid inputs. Enter positive value." )
						return moles * kelvin * UNIVERSAL_GAS_CONSTANT / pressure


if __name__ == "__main__":
			from doctest import testmod

			testmod()



