





'''simple docstring'''


from __future__ import annotations

import time

lowerCAmelCase_   :   Any       =					list[tuple[int, int]]

lowerCAmelCase_   :   Optional[int]       =					[
    [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],
]

lowerCAmelCase_   :   Optional[int]       =					[[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right






class       UpperCamelCase__  :







	def __init__(				self			:   Optional[Any] , lowerCamelCase			:   int , lowerCamelCase			:   int , lowerCamelCase			:   int , lowerCamelCase			:   int , lowerCamelCase			:   Node | None		):




				'''simple docstring'''
				a__     = pos_x
				a__     = pos_y
				a__     = (pos_y, pos_x)
				a__     = goal_x
				a__     = goal_y
				a__     = parent






class       UpperCamelCase__  :







	def __init__(				self			:   List[Any] , lowerCamelCase			:   tuple[int, int] , lowerCamelCase			:   tuple[int, int]		):




				'''simple docstring'''
				a__     = Node(start[1] , start[0] , goal[1] , goal[0] , lowerCamelCase		)
				a__     = Node(goal[1] , goal[0] , goal[1] , goal[0] , lowerCamelCase		)

				a__     = [self.start]
				a__     = False







	def 						__a   (				self			:   Tuple		):




				'''simple docstring'''
				while self.node_queue:
							a__     = self.node_queue.pop(0		)

							if current_node.pos == self.target.pos:
										a__     = True
										return self.retrace_path(lowerCamelCase		)

							a__     = self.get_successors(lowerCamelCase		)

							for node in successors:
										self.node_queue.append(lowerCamelCase		)

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







	def 						__a   (				self			:   Union[str, Any] , lowerCamelCase			:   Node		):




				'''simple docstring'''
				a__     = []
				for action in delta:
							a__     = parent.pos_x + action[1]
							a__     = parent.pos_y + action[0]
							if not (0 <= pos_x <= len(grid[0]		) - 1 and 0 <= pos_y <= len(lowerCamelCase		) - 1):
										continue

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

							successors.append(
							    Node(lowerCamelCase , lowerCamelCase , self.target.pos_y , self.target.pos_x , lowerCamelCase		)		)
				return successors







	def 						__a   (				self			:   int , lowerCamelCase			:   Node | None		):




				'''simple docstring'''
				a__     = node
				a__     = []
				while current_node is not None:
							path.append((current_node.pos_y, current_node.pos_x)		)
							a__     = current_node.parent
				path.reverse()
				return path






class       UpperCamelCase__  :







	def __init__(				self			:   List[str] , lowerCamelCase			:   List[Any] , lowerCamelCase			:   Union[str, Any]		):




				'''simple docstring'''
				a__     = BreadthFirstSearch(lowerCamelCase , lowerCamelCase		)
				a__     = BreadthFirstSearch(lowerCamelCase , lowerCamelCase		)
				a__     = False







	def 						__a   (				self			:   int		):




				'''simple docstring'''
				while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
							a__     = self.fwd_bfs.node_queue.pop(0		)
							a__     = self.bwd_bfs.node_queue.pop(0		)

							if current_bwd_node.pos == current_fwd_node.pos:
										a__     = True
										return self.retrace_bidirectional_path(
										    lowerCamelCase , lowerCamelCase		)

							a__     = current_bwd_node
							a__     = current_fwd_node

							a__     = {
							    self.fwd_bfs: self.fwd_bfs.get_successors(lowerCamelCase		),
							    self.bwd_bfs: self.bwd_bfs.get_successors(lowerCamelCase		),
							}

							for bfs in [self.fwd_bfs, self.bwd_bfs]:
										for node in successors[bfs]:
													bfs.node_queue.append(lowerCamelCase		)

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







	def 						__a   (				self			:   Any , lowerCamelCase			:   Node , lowerCamelCase			:   Node		):




				'''simple docstring'''
				a__     = self.fwd_bfs.retrace_path(lowerCamelCase		)
				a__     = self.bwd_bfs.retrace_path(lowerCamelCase		)
				bwd_path.pop()
				bwd_path.reverse()
				a__     = fwd_path + bwd_path
				return path


if __name__ == "__main__":
		# all coordinates are given in format [y,x]
		import doctest

		doctest.testmod()
		lowerCAmelCase_   :   Union[str, Any]       =					(0, 0)
		lowerCAmelCase_   :   List[Any]       =					(len(grid) - 1, len(grid[0]) - 1)
		for elem in grid:
				print(elem)

		lowerCAmelCase_   :   int       =					time.time()
		lowerCAmelCase_   :   Tuple       =					BreadthFirstSearch(init, goal)
		lowerCAmelCase_   :   int       =					bfs.search()
		lowerCAmelCase_   :   Optional[int]       =					time.time() - start_bfs_time

		print("Unidirectional BFS computation time : ", bfs_time)

		lowerCAmelCase_   :   List[Any]       =					time.time()
		lowerCAmelCase_   :   int       =					BidirectionalBreadthFirstSearch(init, goal)
		lowerCAmelCase_   :   int       =					bd_bfs.search()
		lowerCAmelCase_   :   int       =					time.time() - start_bd_bfs_time

		print("Bidirectional BFS computation time : ", bd_bfs_time)










'''simple docstring'''


from __future__ import annotations

from math import pi







def    _lowerCamelCase  (__lowerCamelCase  :     float					,  __lowerCamelCase  :     float					,  __lowerCamelCase  :     float     )   ->    dict[str, float]:

			if (inductance, frequency, reactance).count(0     ) != 1:
						raise ValueError("One and only one argument must be 0"     )
			if inductance < 0:
						raise ValueError("Inductance cannot be negative"     )
			if frequency < 0:
						raise ValueError("Frequency cannot be negative"     )
			if reactance < 0:
						raise ValueError("Inductive reactance cannot be negative"     )
			if inductance == 0:
						return {"inductance": reactance / (2 * pi * frequency)}
			elif frequency == 0:
						return {"frequency": reactance / (2 * pi * inductance)}
			elif reactance == 0:
						return {"reactance": 2 * pi * frequency * inductance}
			else:
						raise ValueError("Exactly one argument must be 0"     )


if __name__ == "__main__":
		import doctest

		doctest.testmod()



