public void TestWave2()
{
var r = new Random();
var frequencies = new double[] { 2, 1, 1 };
var wave = new Wave(frequencies.Length, 2);
var entropyTracker = new HeapEntropyTracker(wave, frequencies, null, r.NextDouble);
entropyTracker.Reset();
Assert.IsFalse(wave.RemovePossibility(0, 0));
entropyTracker.DoBan(0, 0);
Assert.AreEqual(0, entropyTracker.GetRandomIndex(r.NextDouble));
Assert.IsFalse(wave.RemovePossibility(1, 2));
entropyTracker.DoBan(1, 2);
Assert.AreEqual(1, entropyTracker.GetRandomIndex(r.NextDouble));
Assert.IsFalse(wave.RemovePossibility(1, 0));
entropyTracker.DoBan(1, 0);
Assert.AreEqual(0, entropyTracker.GetRandomIndex(r.NextDouble));
Assert.IsFalse(wave.RemovePossibility(0, 1));
entropyTracker.DoBan(0, 1);
Assert.AreEqual(-1, entropyTracker.GetRandomIndex(r.NextDouble));
Assert.IsTrue(wave.RemovePossibility(0, 2));
entropyTracker.DoBan(0, 2);
}
private IPickHeuristic MakePickHeuristic(WavePropagator wavePropagator, TilePropagatorOptions options)
{
var waveFrequencySets = options.Weights == null ? null : GetFrequencySets(options.Weights, tileModelMapping);
var randomDouble = wavePropagator.RandomDouble;
var patternTopology = wavePropagator.Topology;
var pathConstraint = options.Constraints?.OfType <EdgedPathConstraint>().FirstOrDefault();
var pathPickHeuristic = pathConstraint != null && pathConstraint.UsePickHeuristic;
var connectedConstraint = options.Constraints?.OfType <ConnectedConstraint>().FirstOrDefault();
var connectedPickHeuristic = connectedConstraint != null && connectedConstraint.UsePickHeuristic;
// Use the appropriate random picker
// Generally this is HeapEntropyTracker, but it doesn't support some features
// so there's a few slower implementations for that
IRandomPicker randomPicker;
if (options.PickHeuristicType == PickHeuristicType.Ordered)
{
randomPicker = new OrderedRandomPicker(wavePropagator.Wave, wavePropagator.Frequencies, patternTopology.Mask);
}
else if (waveFrequencySets != null)
{
var entropyTracker = new ArrayPriorityEntropyTracker(wavePropagator.Wave, waveFrequencySets, patternTopology.Mask);
entropyTracker.Reset();
wavePropagator.AddTracker(entropyTracker);
randomPicker = entropyTracker;
}
else if (pathPickHeuristic || connectedPickHeuristic)
{
var entropyTracker = new EntropyTracker(wavePropagator.Wave, wavePropagator.Frequencies, patternTopology.Mask);
entropyTracker.Reset();
wavePropagator.AddTracker(entropyTracker);
randomPicker = entropyTracker;
}
else
{
var entropyTracker = new HeapEntropyTracker(wavePropagator.Wave, wavePropagator.Frequencies, patternTopology.Mask, randomDouble);
entropyTracker.Reset();
wavePropagator.AddTracker(entropyTracker);
randomPicker = entropyTracker;
}
IPickHeuristic heuristic = new RandomPickerHeuristic(randomPicker, randomDouble);
if (pathPickHeuristic)
{
heuristic = pathConstraint.GetHeuristic(
randomPicker,
randomDouble,
this,
tileModelMapping,
heuristic);
}
if (connectedPickHeuristic)
{
heuristic = connectedConstraint.GetHeuristic(
randomPicker,
randomDouble,
this,
tileModelMapping,
heuristic);
}
return(heuristic);
}
