// Input new weights!!!!
public WaveCollapseHistory Run(List <Pattern> patterns, int N, int width, int height,
float[] weights, int iterations, bool backtrack,
double[,] image, List <double> newWeights)
{
WaveCollapseHistory timelapse = new WaveCollapseHistory();
var counter = 0;
var sumOfCollapsedSteps = 0;
while (counter < iterations)
{
counter++;
int steps = 0;
wave = new Wave(width, height, patterns, N, image);
//SeedByImage(image, patterns);
//AddCurrentFrameToHistory(timelapse);
while (!wave.IsCollapsed())
{
if (wave.Contradiction())
{
break;
}
var observed = wave.ObserveWithImageAndWeights(image, newWeights);
if (backtrack)
{
var canPropagate = wave.CheckIfPropagateWithoutContradictionWithRecalculatedWeights
(observed.Item1, observed.Item2, observed.Item3, observed.Item4);
int repeatedObservations = 0;
while (!canPropagate)
{
observed = wave.ObserveWithImageAndWeights(image, newWeights);
if (observed.Item3 == null)
{
throw new Exception("Null pattern selected");
}
canPropagate = wave.CheckIfPropagateWithoutContradictionWithRecalculatedWeights
(observed.Item1, observed.Item2, observed.Item3, observed.Item4);
repeatedObservations++;
if (repeatedObservations > (int)(patterns.Count / 2))
{
break;
}
}
wave.PropagateByUpdatingSuperposition(observed.Item1, observed.Item2, patterns[observed.Item4]);
}
else
{
observed = wave.ObserveWithImageAndWeights(image, newWeights);
try { wave.PropagateByUpdatingSuperposition(observed.Item1, observed.Item2, patterns[observed.Item4]); }
catch (DataMisalignedException ex) { break; }
}
AddCurrentFrameToHistory(timelapse);
steps++;
}
if (wave.Contradiction())
{
double percentage = steps / (width * height * 1.0);
System.Diagnostics.Debug.WriteLine("Contradiction on " + steps + " th step of " + width * height +
", which is " + percentage + " of the whole wave");
sumOfCollapsedSteps += steps;
timelapse.Clear();
continue;
}
else
{
averageCollapseStep = sumOfCollapsedSteps / counter;
System.Diagnostics.Debug.WriteLine("Average collapse step is: " + averageCollapseStep + " for " + width * height + " steps");
break;
}
}
averageCollapseStep = sumOfCollapsedSteps / counter;
System.Diagnostics.Debug.WriteLine("Average collapse step is: " + averageCollapseStep + " for " + width * height + " steps");
return(timelapse);
}
public WaveCollapseHistory Run(List <Pattern> patterns, int N, int width, int height, float[] weights, bool backtrack, int iterations)
{
WaveCollapseHistory timelapse = new WaveCollapseHistory();
var counter = 0;
var sumOfCollapsedSteps = 0;
while (counter < iterations)
{
counter++;
int steps = 0;
wave = new Wave(width, height, patterns, N);
// Start with random seed
SeedRandom(width, height, patterns);
AddCurrentFrameToHistory(timelapse);
// Break if contracition, otherwise run observations until it is not completaly observed
while (!wave.IsCollapsed())
{
if (wave.Contradiction())
{
break;
}
var observed = wave.Observe();
if (backtrack)
{
// Backtracking: working version with one step backtracking
var canPropagate = wave.CheckIfPropagateWithoutContradiction(observed.Item1, observed.Item2, observed.Item3);
int repeatedObservations = 0;
while (!canPropagate)
{
observed = wave.Observe();
canPropagate = wave.CheckIfPropagateWithoutContradiction(observed.Item1, observed.Item2, observed.Item3);
repeatedObservations++;
if (repeatedObservations > (int)(patterns.Count / 2))
{
break;
}
}
wave.PropagateByUpdatingSuperposition(observed.Item1, observed.Item2, observed.Item3);
}
else
{
// No backtracking: working version without backtracking
observed = wave.Observe();
try
{
wave.PropagateByUpdatingSuperposition(observed.Item1, observed.Item2, observed.Item3);
}
catch (DataMisalignedException ex)
{
break;
}
}
AddCurrentFrameToHistory(timelapse);
steps++;
}
if (wave.Contradiction())
{
double percentage = steps / (width * height * 1.0);
System.Diagnostics.Debug.WriteLine("Contradiction on " + steps + " th step of " + width * height +
", which is " + percentage + " of the whole wave");
sumOfCollapsedSteps += steps;
timelapse.Clear();
continue;
}
else
{
averageCollapseStep = sumOfCollapsedSteps / counter;
System.Diagnostics.Debug.WriteLine("Average collapse step is: " + averageCollapseStep + " for " + width * height + " steps");
break;
}
}
averageCollapseStep = sumOfCollapsedSteps / counter;
System.Diagnostics.Debug.WriteLine("Average collapse step is: " + averageCollapseStep + " for " + width * height + " steps");
return(timelapse);
}