public void ComputeAverageRoomTemplatesEntropy_BasicTest()
{
var transformations = TransformationGrid2DHelper.GetAllTransformationsOld().ToList();
var roomTemplate1 = new RoomTemplate(PolygonGrid2D.GetSquare(10), new SimpleDoorMode(1, 0), transformations);
var roomTemplate2 = new RoomTemplate(PolygonGrid2D.GetRectangle(5, 10), new SimpleDoorMode(1, 0), transformations);
var roomDescription1 = new BasicRoomDescription(new List <RoomTemplate>()
{
roomTemplate1, roomTemplate2
});
var mapDescription = new MapDescription <int>();
mapDescription.AddRoom(0, roomDescription1);
mapDescription.AddRoom(1, roomDescription1);
mapDescription.AddConnection(0, 1);
var dungeonGenerator = new DungeonGenerator <int>(mapDescription);
dungeonGenerator.InjectRandomGenerator(new Random(0));
var layouts = new List <MapLayout <int> >();
for (int i = 0; i < 10; i++)
{
layouts.Add(dungeonGenerator.GenerateLayout());
}
var entropy = entropyCalculator.ComputeAverageRoomTemplatesEntropy(mapDescription, layouts);
Assert.That(entropy, Is.GreaterThanOrEqualTo(0));
Assert.That(entropy, Is.LessThanOrEqualTo(1));
}
protected override Individual <TNode> EvaluateIndividual(Individual <TNode> individual)
{
Logger.WriteLine($"Evaluating individual {individual}");
var scenario = new BenchmarkScenario <IMapDescription <TNode> >("SimulatedAnnealingParameters",
input =>
{
// Setup early stopping
if (individual.Parent != null)
{
individual.Configuration.EarlyStopIfIterationsExceeded = Math.Min(50 * (int)individual.Parent.Iterations, InitialIndividual.Configuration.EarlyStopIfIterationsExceeded ?? int.MaxValue);
}
else
{
// TODO: how to do this?
// individual.Configuration.EarlyStopIfIterationsExceeded = null;
}
var layoutGenerator = new DungeonGenerator <TNode>(input.MapDescription, individual.Configuration);
layoutGenerator.InjectRandomGenerator(new Random(0));
var generatorRunner = new LambdaGeneratorRunner(() =>
{
var simulatedAnnealingArgsContainer = new List <SimulatedAnnealingEventArgs>();
void SimulatedAnnealingEventHandler(object sender, SimulatedAnnealingEventArgs eventArgs)
{
simulatedAnnealingArgsContainer.Add(eventArgs);
}
layoutGenerator.OnSimulatedAnnealingEvent += SimulatedAnnealingEventHandler;
var layout = layoutGenerator.GenerateLayout();
layoutGenerator.OnSimulatedAnnealingEvent -= SimulatedAnnealingEventHandler;
var additionalData = new AdditionalRunData <TNode>()
{
GeneratedLayout = layout,
SimulatedAnnealingEventArgs = simulatedAnnealingArgsContainer,
};
var generatorRun = new GeneratorRun <AdditionalRunData <TNode> >(layout != null, layoutGenerator.TimeTotal, layoutGenerator.IterationsCount, additionalData);
return(generatorRun);
});
if (individual.Parent != null)
{
return(new EarlyStoppingGeneratorRunner(generatorRunner, individual.Parent.Iterations, (successful, time, iterations) => new GeneratorRun <AdditionalRunData <TNode> >(successful, time, iterations, null)));
}
else
{
return(generatorRunner);
}
});
var scenarioResult = benchmarkRunner.Run(scenario, new List <GeneratorInput <IMapDescription <TNode> > >()
{
new GeneratorInput <IMapDescription <TNode> >("DungeonGeneratorEvolution", mapDescription)
}, Options.EvaluationIterations, new BenchmarkOptions()
{
WithConsoleOutput = false,
WithFileOutput = false,
});
var generatorRuns = scenarioResult
.BenchmarkResults
.First()
.Runs
.Cast <IGeneratorRun <AdditionalRunData <TNode> > >()
.ToList();
var generatorEvaluation = new GeneratorEvaluation <AdditionalRunData <TNode> >(generatorRuns); // TODO: ugly
individual.ConfigurationEvaluation = generatorEvaluation;
individual.Iterations = generatorRuns.Average(x => x.Iterations);
individual.Time = generatorRuns.Average(x => x.Time);
individual.Fitness = Options.FitnessType == FitnessType.Iterations ? individual.Iterations : individual.Time;
individual.SuccessRate = generatorRuns.Count(x => x.IsSuccessful) / (double)generatorRuns.Count;
var layouts = generatorRuns
.Where(x => x.IsSuccessful)
.Select(x => x.AdditionalData.GeneratedLayout)
.ToList();
var layoutsForClustering = layouts.Take(Math.Min(layouts.Count, 250)).ToList();
var roomTemplatesEntropy = entropyCalculator.ComputeAverageRoomTemplatesEntropy(mapDescription, layouts);
var averageRoomTemplateSize = LayoutsDistance.GetAverageRoomTemplateSize(mapDescription);
var positionOnlyClusters = layoutsClustering.GetClusters(layoutsForClustering, LayoutsDistance.PositionOnlyDistance, averageRoomTemplateSize);
var positionAndShapeClusters = layoutsClustering.GetClusters(layoutsForClustering, (x1, x2) => LayoutsDistance.PositionAndShapeDistance(x1, x2, averageRoomTemplateSize), averageRoomTemplateSize);
var summary = "";
var fitnessDifferenceParent = individual.Parent != null?
StatisticsUtils.DifferenceToReference(individual, individual.Parent, x => x.Fitness) : 0;
var fitnessDifferenceTotal =
StatisticsUtils.DifferenceToReference(individual, InitialIndividual, x => x.Fitness);
var iterationsDifferenceParent = individual.Parent != null?
StatisticsUtils.DifferenceToReference(individual, individual.Parent, x => x.Iterations) : 0;
var iterationsDifferenceTotal =
StatisticsUtils.DifferenceToReference(individual, InitialIndividual, x => x.Iterations);
var timeDifferenceParent = individual.Parent != null?
StatisticsUtils.DifferenceToReference(individual, individual.Parent, x => x.Time) : 0;
var timeDifferenceTotal =
StatisticsUtils.DifferenceToReference(individual, InitialIndividual, x => x.Time);
summary += $" fitness {individual.Fitness:F}, {(fitnessDifferenceParent > 0 ? "+" : "")}{fitnessDifferenceParent:F}%, {(fitnessDifferenceTotal > 0 ? "+" : "")}{fitnessDifferenceTotal:F}% total \n";
summary += $" iterations {individual.Iterations:F}, {(iterationsDifferenceParent > 0 ? "+" : "")}{iterationsDifferenceParent:F}%, {(iterationsDifferenceTotal > 0 ? "+" : "")}{iterationsDifferenceTotal:F}% total \n";
summary += $" time {individual.Time:F}, {(timeDifferenceParent > 0 ? "+" : "")}{timeDifferenceParent:F}%, {(timeDifferenceTotal > 0 ? "+" : "")}{timeDifferenceTotal:F}% total \n";
summary += $" entropy {roomTemplatesEntropy:F}, clusters {positionOnlyClusters.Count}/{positionAndShapeClusters.Count} \n";
summary += $" success rate {individual.SuccessRate * 100:F}%\n";
Logger.WriteLine(summary);
// Directory.CreateDirectory($"{ResultsDirectory}/{individual.Id}");
for (int i = 0; i < generatorRuns.Count; i++)
{
var generatorRun = generatorRuns[i];
if (generatorRun.IsSuccessful)
{
var layout = generatorRun.AdditionalData.GeneratedLayout;
var svg = layoutDrawer.DrawLayout(layout, 800, forceSquare: true);
// File.WriteAllText($"{ResultsDirectory}/{individual.Id}/{i}.svg", svg);
generatorRun.AdditionalData.GeneratedLayout = null;
generatorRun.AdditionalData.GeneratedLayoutSvg = svg;
}
}
var resultSaver = new BenchmarkResultSaver();
resultSaver.SaveResultDefaultLocation(scenarioResult, $"{individual.Id}_benchmarkResults", ResultsDirectory, withDatetime: false);
using (var file =
new StreamWriter(Path.Combine(ResultsDirectory, $"{individual.Id}_visualization.txt")))
{
file.WriteLine(summary);
if (generatorRuns.Any(x => x.IsSuccessful))
{
var dataVisualization = new ChainStatsVisualization <GeneratorData>();
dataVisualization.Visualize(generatorEvaluation, file);
}
}
return(individual);
}
