/**
* Resets the wave to it's original state
*/
public Resolution Clear()
{
wave = new Wave(frequencies.Length, indexCount);
if (backtrack)
{
backtrackItems = new Deque <IndexPatternItem>();
backtrackItemsLengths = new Deque <int>();
backtrackItemsLengths.Push(0);
prevChoices = new Deque <IndexPatternItem>();
}
status = Resolution.Undecided;
this.trackers = new List <ITracker>();
pickHeuristic = pickHeuristicFactory(this);
patternModelConstraint.Clear();
if (status == Resolution.Contradiction)
{
return(status);
}
InitConstraints();
return(status);
}
/**
* Resets the wave to it's original state
*/
public Resolution Clear()
{
wave = new Wave(frequencies.Length, indexCount);
if (backtrack)
{
backtrackItems = new Deque <IndexPatternItem>();
backtrackItemsLengths = new Deque <int>();
backtrackItemsLengths.Push(0);
prevChoices = new Deque <IndexPatternItem>();
}
status = Resolution.Undecided;
this.trackers = new List <ITracker>();
if (frequencySets != null)
{
var entropyTracker = new ArrayPriorityEntropyTracker(wave, frequencySets, topology.Mask);
entropyTracker.Reset();
AddTracker(entropyTracker);
pickHeuristic = new ArrayPriorityEntropyHeuristic(entropyTracker, randomDouble);
}
else
{
var entropyTracker = new EntropyTracker(wave, frequencies, topology.Mask);
entropyTracker.Reset();
AddTracker(entropyTracker);
pickHeuristic = new EntropyHeuristic(entropyTracker, randomDouble);
}
patternModelConstraint.Clear();
if (status == Resolution.Contradiction)
{
return(status);
}
InitConstraints();
return(status);
}