public void BestFirst_Sample2SumDistanceAway_GeneratesSolution()
{
ISearchAlgorithm searchAlgorithm = new BestFirst();
var state = new List<int>(new int[] { 1, 2, 3, 4, 12, 13, 14, 5, 11, Node.SPACE, 15, 6, 10, 9, 8, 7 });
var initialNode = new Node { State = state };
searchAlgorithm.Heuristic = HeuristicFunctions.sum_distance_of_tiles_away_from_their_place;
var solutionPath = searchAlgorithm.Search(initialNode);
Assert.IsTrue(HelperMethods.SolutionPathLeadsToGoal(solutionPath));
HelperMethods.OutputResults(solutionPath, searchAlgorithm, state);
}
public void BestFirst_Sample1NumTilesOutOfOrder_GeneratesSolution()
{
ISearchAlgorithm searchAlgorithm = new BestFirst();
var state = new List<int>(new int[] {1, 2, Node.SPACE, 3, 6, 7, 11, 4, 5, 9, 12, 8, 13, 10, 14, 15});
var initialNode = new Node {State = state};
searchAlgorithm.Heuristic = HeuristicFunctions.number_of_tiles_out_of_place;
var solutionPath = searchAlgorithm.Search(initialNode);
Assert.AreEqual(13, solutionPath.Count);
Assert.IsTrue(HelperMethods.SolutionPathLeadsToGoal (solutionPath));
HelperMethods.OutputResults(solutionPath, searchAlgorithm, state);
}
static void Main(string[] args)
{
Problema p = new Problema();
Heurisztika h = new Heurisztika();
BestFirst bestFirst = new BestFirst();
List <Operator> megoldas = bestFirst.keres(p, h);
megoldas.ForEach(Console.WriteLine);
Console.WriteLine("Befejezéshez nyomj meg egy gombot!");
Console.ReadKey();
}
public void simple_attribute_selection_tests_with_indexes()
{
Runtime rt = Runtime.LoadFromFile <TitanicDataRow>(0, TestingHelpers.GetResourceFileName("titanic_train.csv"));
BestFirst alg = rt.AttributeSelections.Algorithms.BestFirst.
Direction(BestFirst.EDirection.Bi_directional).
LookupCacheSize(10);
PicNetML.AttrSel.Evals.CfsSubset eval = rt.AttributeSelections.Evaluators.CfsSubset.
LocallyPredictive(true).
MissingSeparate(true);
int[] indexes = alg.SearchIndexes(eval);
Assert.AreEqual(new[] { 2, 0 }, indexes);
}
static void StartBestFirst(int initstate)
{
try
{
BestFirst o = new BestFirst(initstate);
Console.Write("\rBest First Search starts . . . Please wait");
o.Solve();
}
catch (Exception e)
{
HandleException(e);
}
}
public void simple_attribute_selection_tests_with_new_runtime()
{
Runtime rt = Runtime.LoadFromFile <TitanicDataRow>(0, TestingHelpers.GetResourceFileName("titanic_train.csv"));
BestFirst alg = rt.AttributeSelections.Algorithms.BestFirst.
Direction(BestFirst.EDirection.Bi_directional).
LookupCacheSize(10);
PicNetML.AttrSel.Evals.CfsSubset eval = rt.AttributeSelections.Evaluators.CfsSubset.
LocallyPredictive(true).
MissingSeparate(true);
Runtime newrt = alg.Search(eval);
string[] names = newrt.EnumerateAttributes.Select(a => a.Name).ToArray();
Assert.AreEqual(new[] { "sex", "survived" }, names);
}
