






"""simple docstring"""







import argparse
import copy





def 						lowercase__(A						)    ->List[str]:




						"""simple docstring"""



						lowercase__    :				List[str]=	{}

						with open(A						) as f:
												for line in f:
																		if line.split()[0] not in dict_of_neighbours:
																								lowercase__    :				Optional[Any]=	[]
																								_list.append([line.split()[1], line.split()[2]]						)
																								lowercase__    :				Dict=	_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__    :				int=	[]
																								_list.append([line.split()[0], line.split()[2]]						)
																								lowercase__    :				int=	_list
																		else:
																								dict_of_neighbours[line.split()[1]].append(
																								    [line.split()[0], line.split()[2]]						)

						return dict_of_neighbours





def 						lowercase__(A ,		A						)    ->Any:




						"""simple docstring"""



						with open(A						) as f:
												lowercase__    :				str=	f.read(1						)
						lowercase__    :				Optional[int]=	start_node

						lowercase__    :				Dict=	[]

						lowercase__    :				Union[str, Any]=	start_node

						lowercase__    :				Any=	0
						while visiting not in first_solution:
												lowercase__    :				Any=	10_000
												for k in dict_of_neighbours[visiting]:
																		if int(k[1]						) < int(A						) and k[0] not in first_solution:
																								lowercase__    :				List[Any]=	k[1]
																								lowercase__    :				Optional[Any]=	k[0]

												first_solution.append(A						)
												lowercase__    :				Union[str, Any]=	distance_of_first_solution + int(A						)
												lowercase__    :				Union[str, Any]=	best_node

						first_solution.append(A						)

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

						lowercase__    :				str=	(
						    distance_of_first_solution
						    + int(dict_of_neighbours[first_solution[-2]][position][1]						)
						    - 10_000
						)
						return first_solution, distance_of_first_solution





def 						lowercase__(A ,		A						)    ->List[Any]:




						"""simple docstring"""



						lowercase__    :				Optional[Any]=	[]

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

																		lowercase__    :				int=	copy.deepcopy(A						)
																		lowercase__    :				Dict=	kn
																		lowercase__    :				List[str]=	n

																		lowercase__    :				Optional[int]=	0

																		for k in _tmp[:-1]:
																								lowercase__    :				Union[str, Any]=	_tmp[_tmp.index(A						) + 1]
																								for i in dict_of_neighbours[k]:
																														if i[0] == next_node:
																																				lowercase__    :				Union[str, Any]=	distance + int(i[1]						)
																		_tmp.append(A						)

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

						lowercase__    :				Dict=	len(neighborhood_of_solution[0]						) - 1

						neighborhood_of_solution.sort(key=lambda A						: x[index_of_last_item_in_the_list]						)
						return neighborhood_of_solution





def 						lowercase__(A ,		A ,		A ,		A ,		A						)    ->Tuple:




						"""simple docstring"""



						lowercase__    :				str=	1
						lowercase__    :				List[Any]=	first_solution
						lowercase__    :				List[str]=	[]
						lowercase__    :				List[Any]=	distance_of_first_solution
						lowercase__    :				Dict=	solution

						while count <= iters:
												lowercase__    :				str=	find_neighborhood(A ,		A						)
												lowercase__    :				List[str]=	0
												lowercase__    :				List[Any]=	neighborhood[index_of_best_solution]
												lowercase__    :				List[Any]=	len(A						) - 1

												lowercase__    :				List[Any]=	False
												while not found:
																		lowercase__    :				Any=	0
																		while i < len(A						):
																								if best_solution[i] != solution[i]:
																														lowercase__    :				int=	best_solution[i]
																														lowercase__    :				Optional[Any]=	solution[i]
																														break
																								lowercase__    :				List[Any]=	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__    :				List[str]=	True
																								lowercase__    :				Union[str, Any]=	best_solution[:-1]
																								lowercase__    :				Tuple=	neighborhood[index_of_best_solution][best_cost_index]
																								if cost < best_cost:
																														lowercase__    :				List[Any]=	cost
																														lowercase__    :				List[str]=	solution
																		else:
																								lowercase__    :				Any=	index_of_best_solution + 1
																								lowercase__    :				Optional[Any]=	neighborhood[index_of_best_solution]

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

												lowercase__    :				Union[str, Any]=	count + 1

						return best_solution_ever, best_cost





def 						lowercase__(A=None						)    ->str:




						"""simple docstring"""



						lowercase__    :				Union[str, Any]=	generate_neighbours(args.File						)

						lowercase__,     lowercase__    :				List[str]=	generate_first_solution(
						    args.File ,		A						)

						lowercase__,     lowercase__    :				List[Any]=	tabu_search(
						    A ,		A ,		A ,		args.Iterations ,		args.Size ,		)

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


if __name__ == "__main__":
			a			:    List[str]				 =		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())














"""simple docstring"""







from __future__ import annotations


class    __UpperCAmelCase:




						"""simple docstring"""




						def __init__(       self	,  snake_case__      ):
												'''simple docstring'''
												lowercase__    :				List[Any]=	data
												lowercase__    :				Node | None=	None
												lowercase__    :				Node | None=	None





def 						lowercase__(A						)    ->None:  # In Order traversal of the tree




						"""simple docstring"""



						if tree:
												display(tree.left						)
												print(tree.data						)
												display(tree.right						)





def 						lowercase__(A						)    ->int:




						"""simple docstring"""



						return 1 + max(depth_of_tree(tree.left						) ,		depth_of_tree(tree.right						)						) if tree else 0





def 						lowercase__(A						)    ->bool:




						"""simple docstring"""



						if not tree:
												return True
						if tree.left and tree.right:
												return is_full_binary_tree(tree.left						) and is_full_binary_tree(tree.right						)
						else:
												return not tree.left and not tree.right





def 						lowercase__()    ->None:  # Main function for testing.




						"""simple docstring"""



						lowercase__    :				Tuple=	Node(1						)
						lowercase__    :				Optional[int]=	Node(2						)
						lowercase__    :				List[str]=	Node(3						)
						lowercase__    :				Tuple=	Node(4						)
						lowercase__    :				Optional[int]=	Node(5						)
						lowercase__    :				Any=	Node(6						)
						lowercase__    :				Optional[Any]=	Node(7						)
						lowercase__    :				Optional[int]=	Node(8						)
						lowercase__    :				List[str]=	Node(9						)

						print(is_full_binary_tree(A						)						)
						print(depth_of_tree(A						)						)
						print("Tree is: "						)
						display(A						)


if __name__ == "__main__":
			main()






