public override double GetWrapped(double x, double y, int wrap)
{
double value = 0.0;
double signal = 0.0;
double curPersistence = 1.0;
long seed;
double lacunarity = Lacunarity.GetWrapped(x, y, wrap);
double persist = Persistence.GetWrapped(x, y, wrap);
double frequency = Frequency.GetWrapped(x, y, wrap);
x *= frequency;
y *= frequency;
int mOctaveCount = (int)OctaveCount.GetWrapped(x, y, wrap);
for (int currentOctave = 0; currentOctave < mOctaveCount; currentOctave++)
{
seed = (Seed + currentOctave) & 0xffffffff;
signal = GradientCoherentNoiseWrap(x, y, wrap, (int)seed, NoiseQuality);
signal = 2.0 * System.Math.Abs(signal) - 1.0;
value += signal * curPersistence;
x *= lacunarity;
y *= lacunarity;
curPersistence *= persist;
}
value += 0.5;
return(value);
}
public override double GetWrapped(double x, double y, int wrap)
{
double lacunarity = Lacunarity.GetWrapped(x, y, wrap);
double frequency = Frequency.GetWrapped(x, y, wrap);
x *= frequency;
y *= frequency;
double signal = 0.0;
double value = 0.0;
double weight = 1.0;
// These parameters should be user-defined; they may be exposed in a
// future version of libnoise.
double offset = 1.0;
double gain = 2.0;
int mOctaveCount = (int)OctaveCount.GetWrapped(x, y, wrap);
for (int currentOctave = 0; currentOctave < mOctaveCount; currentOctave++)
{
long seed = (Seed + currentOctave) & 0x7fffffff;
signal = GradientCoherentNoiseWrap(x, y, wrap, (int)seed, NoiseQuality);
// Make the ridges.
signal = System.Math.Abs(signal);
signal = offset - signal;
// Square the signal to increase the sharpness of the ridges.
signal *= signal;
// The weighting from the previous octave is applied to the signal.
// Larger values have higher weights, producing sharp points along the
// ridges.
signal *= weight;
// Weight successive contributions by the previous signal.
weight = signal * gain;
if (weight > 1.0)
{
weight = 1.0;
}
if (weight < 0.0)
{
weight = 0.0;
}
// Add the signal to the output value.
value += (signal * SpectralWeights[currentOctave]);
// Go to the next octave.
x *= lacunarity;
y *= lacunarity;
}
return((value * 1.25) - 1.0);
}