public override void Configure(params RVariant[] args)
{
base.Configure(args);
_mode = Config[2];
SeerH = new HashForeseer(Config[3], Config[4], new HorzVertForeseer());
SeerV = new HashForeseer(Config[3], Config[4], new HorzVertForeseer());
}
public int PredictionEnTransformXor(Foreseer foreseer)
{
IntField orig = this.Clone();
foreseer.Initialize(orig);
int wrongPredictions = 0;
int p = 0;
for (int y = 0; y < Height; y++)
{
for (int x = 0; x < Width; x++, p++)
{
int predicted = foreseer.Foresee(orig, x, y);
Data[p] = orig.Data[p] ^ predicted;
if (Data[p] != 0)
{
wrongPredictions++;
}
foreseer.Learn(orig, x, y, orig.Data[p], predicted);
}
}
return(wrongPredictions);
}
public VariableSizeForeseer(int width, int height, int xpos, Foreseer fallback)
{
_width = width;
_height = height;
_xpos = xpos;
_fallback = fallback;
}
public FixedSizeMonoForeseer(int width, int height, int xpos, Foreseer fallback)
{
_width = width;
_height = height;
_xpos = xpos;
_fallback = fallback;
}
public void PredictionDeTransformXor(Foreseer foreseer)
{
IntField diff = this.Clone();
foreseer.Initialize(this);
int p = 0;
for (int y = 0; y < Height; y++)
{
for (int x = 0; x < Width; x++, p++)
{
int predicted = foreseer.Foresee(this, x, y);
Data[p] = diff.Data[p] ^ predicted;
foreseer.Learn(this, x, y, this.Data[p], predicted);
}
}
}
public void Prediction(Foreseer foreseer)
{
IntField orig = this.Clone();
foreseer.Initialize(orig);
int p = 0;
for (int y = 0; y < Height; y++)
{
for (int x = 0; x < Width; x++, p++)
{
int predicted = foreseer.Foresee(orig, x, y);
Data[p] = predicted;
foreseer.Learn(orig, x, y, orig.Data[p], predicted);
}
}
}
public HashForeseer(int maxW, int maxH, Foreseer fallback)
{
_fallback = fallback;
var seq = new[] { 3, 4, 5, 7, 9, 13, 17, 21 };
var sizes = new List <Size>();
for (int xi = 0; xi < seq.Length; xi++)
{
for (int yi = 0; yi < seq.Length; yi++)
{
if (seq[xi] <= maxW && seq[yi] <= maxH)
{
sizes.Add(new Size(seq[xi], seq[yi]));
}
}
}
_sizes = sizes.OrderByDescending(sz => sz.Width * sz.Height).ToArray();
}
public void PredictionEnTransformDiff(Foreseer foreseer, int modulus)
{
IntField orig = this.Clone();
foreseer.Initialize(orig);
int p = 0;
for (int y = 0; y < Height; y++)
{
for (int x = 0; x < Width; x++, p++)
{
int predicted = foreseer.Foresee(orig, x, y);
Data[p] = orig.Data[p] - predicted;
if (Data[p] < 0)
{
Data[p] += modulus;
}
foreseer.Learn(orig, x, y, orig.Data[p], predicted);
}
}
}
public override void Configure(params RVariant[] args)
{
base.Configure(args);
Seer = new FixedSizeForeseer((int)Config[0], (int)Config[1], (int)Config[2], new HorzVertForeseer());
}
public override void Configure(params RVariant[] args)
{
base.Configure(args);
Seer = new FixedSizeForeseer((int)Config[0], (int)Config[1], (int)Config[2], new HorzVertForeseer());
RLE = new RunLength01LongShortCodec((int)Config[3], (int)Config[4]);
}