public Wave(int width, int height, List <Pattern> patterns, int patternSize,
double[,] image)
{
this.width = width;
this.height = height;
this.patterns = patterns;
this.patternSize = patternSize;
this.image = image;
lowestWeight = getLowestWeight(patterns);
highestWeight = getHighestWeight(patterns);
superpositions = new Superposition[width, height];
for (int i = 0; i < width; i++)
{
for (int j = 0; j < height; j++)
{
superpositions[i, j] = new Superposition(patterns);
}
}
entropies = new double[width, height];
waveCollapse = new Pattern[width, height];
// Sort all elements by the entropy
OrderCellsListByEntropy();
// Sort all elements that on the picture has lowe
OrderCellsListByEntropyAndImage();
}
//private Wave wave;
public Wave(int width, int height, List <Pattern> patterns, int patternSize)
{
this.width = width;
this.height = height;
this.patterns = patterns;
this.patternSize = patternSize;
lowestWeight = getLowestWeight(patterns);
highestWeight = getHighestWeight(patterns);
superpositions = new Superposition[width, height];
for (int i = 0; i < width; i++)
{
for (int j = 0; j < height; j++)
{
superpositions[i, j] = new Superposition(patterns);
}
}
entropies = new double[width, height];
waveCollapse = new Pattern[width, height];
OrderCellsListByEntropy();
UpdateEntropies();
}
// If another superposition has false value - set also false to this one
public void OverlayWithAnother(Superposition superpositionToOVerlay)
{
for (int i = 0; i < coefficients.Length; i++)
{
if (coefficients[i] == true && superpositionToOVerlay.coefficients[i] == false)
{
coefficients[i] = false;
}
}
CalculateEntropy();
}
public Superposition(Superposition superposition)
{
this.patternFromSample = superposition.patternFromSample;
// Copy coefficients.
for (var i = 0; i < superposition.coefficients.Length; i++)
{
this.coefficients[i] = superposition.coefficients[i];
}
this.CalculateEntropy();
}
public Superposition(Superposition superposition, List <Pattern> patternFromSample)
{
this.patternFromSample = patternFromSample;
coefficients = new bool[patternFromSample.Count];
// Copy coefficients.
for (var i = 0; i < superposition.coefficients.Length; i++)
{
this.coefficients[i] = superposition.coefficients[i];
this.state = superposition.state;
}
CalculateEntropy();
}
// Create Superposition in specified overlapping location
Superposition GetLocalSuperposition(int x, int y, List <Pattern> patternsFromSample)
{
Superposition superpositionForXY = new Superposition(patternsFromSample);
for (var i = 0; i < patternsFromSample.Count; i++)
{
var candidate = patternsFromSample[i];
if (!this.Overlaps(x, y, candidate))
{
superpositionForXY.coefficients[i] = false;
}
}
superpositionForXY.CalculateEntropy();
return(superpositionForXY);
}
// Check the entropy after overlaying without changing the values
public int CheckPossiblePatternsCount(Superposition superpositionToOverlay)
{
var fakeCoefficients = new bool[coefficients.Length];
int patternCount = 0;
for (int i = 0; i < coefficients.Length; i++)
{
if (coefficients[i] == true && superpositionToOverlay.coefficients[i] == true)
{
fakeCoefficients[i] = true;
patternCount++;
}
}
return(patternCount);
}
