public void AddTest()
{
FixedSizeStack<int> stack = new FixedSizeStack<int>(1);
stack.Add(1, score: 0);
Assert.IsTrue(stack.Elements.Contains(1));
stack.Add(2, score: 100);
Assert.IsTrue(stack.Elements.Contains(1));
Assert.IsFalse(stack.Elements.Contains(2));
stack.Add(3, score: -1);
Assert.IsTrue(stack.Elements.Contains(3));
Assert.IsFalse(stack.Elements.Contains(1));
}
// Serialize the state and put in the 'undo' stack;
public string GetStateSerialized()
{
string json = this.state.Serialize();
stateStack.Add(json);
stateStatckIndex = 0;
return(json);
}
FixedSizeStack<Image> NearestNeighbor(Image image)
{
FixedSizeStack<Image> fss = new FixedSizeStack<Image>(_NbNeighbor);
int startIndex = 0;
int endIndex = _nbImage;
if (SemiRandomNeighbor)
{
int nbElementsToTest = _NbNeighbor * NeighborScaleFactor;
Random gen = new Random();
startIndex = gen.Next(0, _nbImage - nbElementsToTest);
endIndex = startIndex + nbElementsToTest;
}
double norme = image.Norm;
int nbImageBlockedByTriangleSpeedUp = 0;
for (int i = startIndex; i < endIndex; i++)
{
if (UseTriangleSpeedUp && fss.IsFull)
{
double d = Math.Abs(_normes[i] - norme);
// This image can never be added to stack
if (d > fss.MaxScore)
{
nbImageBlockedByTriangleSpeedUp++;
continue;
}
}
double dist = image.Distance(_images[i]);
fss.Add(_images[i], dist);
}
if (Debug) Console.WriteLine("nbImageBlockedByTriangleSpeedUp:" + nbImageBlockedByTriangleSpeedUp);
return fss;
}
