public WavePropagator(
PatternModel model,
ITopology topology,
WavePropagatorOptions options)
{
this.patternCount = model.PatternCount;
this.frequencies = model.Frequencies;
this.indexCount = topology.IndexCount;
this.backtrack = options.BackTrackDepth != 0;
this.backtrackDepth = options.BackTrackDepth;
this.constraints = options.Constraints ?? new IWaveConstraint[0];
this.topology = topology;
this.randomDouble = options.RandomDouble ?? new Random().NextDouble;
directionsCount = topology.DirectionsCount;
this.pickHeuristicFactory = options.PickHeuristicFactory;
if (this.pickHeuristicFactory == null)
{
this.pickHeuristicFactory = (wavePropagator) =>
{
var entropyTracker = new EntropyTracker(wavePropagator.Wave, wavePropagator.Frequencies, wavePropagator.Topology.Mask);
entropyTracker.Reset();
wavePropagator.AddTracker(entropyTracker);
return(new RandomPickerHeuristic(entropyTracker, this.randomDouble));
};
}
switch (options.ModelConstraintAlgorithm)
{
case ModelConstraintAlgorithm.OneStep:
patternModelConstraint = new OneStepPatternModelConstraint(this, model);
break;
case ModelConstraintAlgorithm.Default:
case ModelConstraintAlgorithm.Ac4:
patternModelConstraint = new Ac4PatternModelConstraint(this, model);
break;
case ModelConstraintAlgorithm.Ac3:
patternModelConstraint = new Ac3PatternModelConstraint(this, model);
break;
default:
throw new Exception();
}
if (options.Clear)
{
Clear();
}
}
public WavePropagator(
PatternModel model,
ITopology topology,
WavePropagatorOptions options)
{
this.patternCount = model.PatternCount;
this.frequencies = model.Frequencies;
this.indexCount = topology.IndexCount;
this.backtrack = options.BacktrackPolicy != null;
this.backtrackPolicy = options.BacktrackPolicy;
this.maxBacktrackDepth = options.MaxBacktrackDepth;
this.constraints = options.Constraints ?? new IWaveConstraint[0];
this.topology = topology;
this.randomDouble = options.RandomDouble ?? new Random().NextDouble;
directionsCount = topology.DirectionsCount;
this.indexPicker = options.IndexPicker ?? new EntropyTracker();
this.patternPicker = options.PatternPicker ?? new WeightedRandomPatternPicker();
switch (options.ModelConstraintAlgorithm)
{
case ModelConstraintAlgorithm.OneStep:
patternModelConstraint = new OneStepPatternModelConstraint(this, model);
break;
case ModelConstraintAlgorithm.Default:
case ModelConstraintAlgorithm.Ac4:
patternModelConstraint = new Ac4PatternModelConstraint(this, model);
break;
case ModelConstraintAlgorithm.Ac3:
patternModelConstraint = new Ac3PatternModelConstraint(this, model);
break;
default:
throw new Exception();
}
if (options.Clear)
{
Clear();
}
}
