


'''simple docstring'''


import numpy as np






class 		lowerCAmelCase__	:




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



					'''simple docstring'''







					_UpperCAmelCase						:				Optional[int]	    =					(0, 0)
					_UpperCAmelCase						:				Dict	    =					None
					_UpperCAmelCase						:				Optional[int]	    =					0
					_UpperCAmelCase						:				List[Any]	    =					0
					_UpperCAmelCase						:				Dict	    =					0




			def __eq__(						self     :   Optional[int]		,     lowerCamelCase__     :   Dict       )      ->Union[str, Any]:



					'''simple docstring'''







					return self.position == cell.position






			def 							lowerCAmelCase__			(						self     :   Any       )      ->str:



					'''simple docstring'''







					print(self.position       )






class 		lowerCAmelCase__	:




			def __init__(						self     :   str		,     lowerCamelCase__     :   Any=(5, 5)       )      ->int:



					'''simple docstring'''







					_UpperCAmelCase						:				Union[str, Any]	    =					np.zeros(__SCREAMING_SNAKE_CASE       )
					_UpperCAmelCase						:				List[str]	    =					world_size[0]
					_UpperCAmelCase						:				Dict	    =					world_size[1]




			def 							lowerCAmelCase__			(						self     :   Optional[int]       )      ->int:



					'''simple docstring'''







					print(self.w       )






			def 							lowerCAmelCase__			(						self     :   int		,     lowerCamelCase__     :   Tuple       )      ->int:



					'''simple docstring'''







					_UpperCAmelCase						:				List[str]	    =					[
					    (-1, -1),
					    (-1, 0),
					    (-1, 1),
					    (0, -1),
					    (0, 1),
					    (1, -1),
					    (1, 0),
					    (1, 1),
					]
					_UpperCAmelCase						:				str	    =					cell.position[0]
					_UpperCAmelCase						:				int	    =					cell.position[1]
					_UpperCAmelCase						:				Optional[int]	    =					[]
					for n in neughbour_cord:
							_UpperCAmelCase						:				Optional[Any]	    =					current_x + n[0]
							_UpperCAmelCase						:				List[str]	    =					current_y + n[1]
							if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
									_UpperCAmelCase						:				str	    =					Cell()
									_UpperCAmelCase						:				List[str]	    =					(x, y)
									_UpperCAmelCase						:				Any	    =					cell
									neighbours.append(__SCREAMING_SNAKE_CASE       )
					return neighbours






def        __lowerCAmelCase       (__lowerCAmelCase					,       __lowerCAmelCase					,       __lowerCAmelCase      ):
		_UpperCAmelCase						:				Any	    =					[]
		_UpperCAmelCase						:				int	    =					[]
		_open.append(__SCREAMING_SNAKE_CASE      )

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

						for c in _open:
								if c == n and c.f < n.f:
										continue
						_open.append(__SCREAMING_SNAKE_CASE      )
		_UpperCAmelCase						:				Dict	    =					[]
		while current.parent is not None:
				path.append(current.position      )
				_UpperCAmelCase						:				Dict	    =					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'''







import argparse
import copy
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Optional[int]							):



						"""simple docstring"""





						lowercase_	:     List[Any]													=       {}

						with open(__SCREAMING_SNAKE_CASE							) as f:
												for line in f:
																		if line.split()[0] not in dict_of_neighbours:
																								lowercase_	:     Union[str, Any]													=       []
																								_list.append([line.split()[1], line.split()[2]]							)
																								lowercase_	:     str													=       _list
																		else:
																								dict_of_neighbours[line.split()[0]].append(
																								    [line.split()[1], line.split()[2]]							)
																		if line.split()[1] not in dict_of_neighbours:
																								lowercase_	:     Optional[int]													=       []
																								_list.append([line.split()[0], line.split()[2]]							)
																								lowercase_	:     Dict													=       _list
																		else:
																								dict_of_neighbours[line.split()[1]].append(
																								    [line.split()[0], line.split()[2]]							)

						return dict_of_neighbours
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str      ,      __SCREAMING_SNAKE_CASE					: Tuple							):



						"""simple docstring"""





						with open(__SCREAMING_SNAKE_CASE							) as f:
												lowercase_	:     List[str]													=       f.read(1							)
						lowercase_	:     Optional[int]													=       start_node

						lowercase_	:     Any													=       []

						lowercase_	:     List[str]													=       start_node

						lowercase_	:     Optional[Any]													=       0
						while visiting not in first_solution:
												lowercase_	:     Any													=       10000
												for k in dict_of_neighbours[visiting]:
																		if int(k[1]							) < int(__SCREAMING_SNAKE_CASE							) and k[0] not in first_solution:
																								lowercase_	:     List[Any]													=       k[1]
																								lowercase_	:     List[Any]													=       k[0]

												first_solution.append(__SCREAMING_SNAKE_CASE							)
												lowercase_	:     Optional[Any]													=       distance_of_first_solution + int(__SCREAMING_SNAKE_CASE							)
												lowercase_	:     int													=       best_node

						first_solution.append(__SCREAMING_SNAKE_CASE							)

						lowercase_	:     Tuple													=       0
						for k in dict_of_neighbours[first_solution[-2]]:
												if k[0] == start_node:
																		break
												position += 1

						lowercase_	:     Optional[Any]													=       (
						    distance_of_first_solution
						    + int(dict_of_neighbours[first_solution[-2]][position][1]							)
						    - 10000
						)
						return first_solution, distance_of_first_solution
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Optional[Any]      ,      __SCREAMING_SNAKE_CASE					: Union[str, Any]							):



						"""simple docstring"""





						lowercase_	:     Tuple													=       []

						for n in solution[1:-1]:
												lowercase_	:     List[str]													=       solution.index(__SCREAMING_SNAKE_CASE							)
												for kn in solution[1:-1]:
																		lowercase_	:     Any													=       solution.index(__SCREAMING_SNAKE_CASE							)
																		if n == kn:
																								continue

																		lowercase_	:     Dict													=       copy.deepcopy(__SCREAMING_SNAKE_CASE							)
																		lowercase_	:     Dict													=       kn
																		lowercase_	:     List[Any]													=       n

																		lowercase_	:     str													=       0

																		for k in _tmp[:-1]:
																								lowercase_	:     Tuple													=       _tmp[_tmp.index(__SCREAMING_SNAKE_CASE							) + 1]
																								for i in dict_of_neighbours[k]:
																														if i[0] == next_node:
																																				lowercase_	:     Optional[Any]													=       distance + int(i[1]							)
																		_tmp.append(__SCREAMING_SNAKE_CASE							)

																		if _tmp not in neighborhood_of_solution:
																								neighborhood_of_solution.append(_tmp							)

						lowercase_	:     Union[str, Any]													=       len(neighborhood_of_solution[0]							) - 1

						neighborhood_of_solution.sort(key=lambda __SCREAMING_SNAKE_CASE							: x[index_of_last_item_in_the_list]							)
						return neighborhood_of_solution
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Tuple      ,      __SCREAMING_SNAKE_CASE					: List[Any]      ,      __SCREAMING_SNAKE_CASE					: Optional[int]      ,      __SCREAMING_SNAKE_CASE					: Optional[int]      ,      __SCREAMING_SNAKE_CASE					: Optional[Any]							):



						"""simple docstring"""





						lowercase_	:     Optional[int]													=       1
						lowercase_	:     List[str]													=       first_solution
						lowercase_	:     Dict													=       []
						lowercase_	:     List[str]													=       distance_of_first_solution
						lowercase_	:     Optional[Any]													=       solution

						while count <= iters:
												lowercase_	:     int													=       find_neighborhood(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							)
												lowercase_	:     Any													=       0
												lowercase_	:     Dict													=       neighborhood[index_of_best_solution]
												lowercase_	:     Optional[Any]													=       len(__SCREAMING_SNAKE_CASE							) - 1

												lowercase_	:     Tuple													=       False
												while not found:
																		lowercase_	:     Optional[int]													=       0
																		while i < len(__SCREAMING_SNAKE_CASE							):
																								if best_solution[i] != solution[i]:
																														lowercase_	:     Tuple													=       best_solution[i]
																														lowercase_	:     Optional[int]													=       solution[i]
																														break
																								lowercase_	:     int													=       i + 1

																		if [first_exchange_node, second_exchange_node] not in tabu_list and [
																		    second_exchange_node,
																		    first_exchange_node,
																		] not in tabu_list:
																								tabu_list.append([first_exchange_node, second_exchange_node]							)
																								lowercase_	:     Tuple													=       True
																								lowercase_	:     Optional[int]													=       best_solution[:-1]
																								lowercase_	:     Optional[Any]													=       neighborhood[index_of_best_solution][best_cost_index]
																								if cost < best_cost:
																														lowercase_	:     Optional[Any]													=       cost
																														lowercase_	:     int													=       solution
																		else:
																								lowercase_	:     Any													=       index_of_best_solution + 1
																								lowercase_	:     Any													=       neighborhood[index_of_best_solution]

												if len(__SCREAMING_SNAKE_CASE							) >= size:
																		tabu_list.pop(0							)

												lowercase_	:     List[Any]													=       count + 1

						return best_solution_ever, best_cost
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: List[str]=None							):



						"""simple docstring"""





						lowercase_	:     Any													=       generate_neighbours(args.File							)

						lowercase_						, lowercase_	:     Union[str, Any]													=       generate_first_solution(
						    args.File      ,      __SCREAMING_SNAKE_CASE							)

						lowercase_						, lowercase_	:     Optional[int]													=       tabu_search(
						    __SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE      ,      args.Iterations      ,      args.Size      ,      )

						print(F'''Best solution: {best_sol}, with total distance: {best_cost}.'''							)


if __name__ == "__main__":
							_lowercase :  Any    							=       argparse.ArgumentParser(description="Tabu Search")
							parser.add_argument(
							    "-f",
							    "--File",
							    type=str,
							    help="Path to the file containing the data",
							    required=True,
							)
							parser.add_argument(
							    "-i",
							    "--Iterations",
							    type=int,
							    help="How many iterations the algorithm should perform",
							    required=True,
							)
							parser.add_argument(
							    "-s", "--Size", type=int, help="Size of the tabu list", required=True
							)

							# Pass the arguments to main method
							main(parser.parse_args())



