public static float noise(
float x,
float y,
float z,
float noiseSize,
int noiseDepth,
int noiseBasis,
boolean isHard) {
NoiseFunction abstractNoiseFunc = noiseFunctions.get(Integer.valueOf(noiseBasis));
if (abstractNoiseFunc == null) {
abstractNoiseFunc = noiseFunctions.get(0);
noiseBasis = 0;
}
if (noiseBasis == 0) {
++x;
++y;
++z;
}
if (noiseSize != 0.0) {
noiseSize = 1.0f / noiseSize;
x *= noiseSize;
y *= noiseSize;
z *= noiseSize;
}
float result = abstractNoiseFunc.execute(x, y, z);
return isHard ? Math.abs(2.0f * result - 1.0f) : result;
}
public static float turbulence(
float x,
float y,
float z,
float noiseSize,
int noiseDepth,
int noiseBasis,
boolean isHard) {
NoiseFunction abstractNoiseFunc = noiseFunctions.get(Integer.valueOf(noiseBasis));
if (abstractNoiseFunc == null) {
abstractNoiseFunc = noiseFunctions.get(0);
noiseBasis = 0;
}
if (noiseBasis == 0) {
++x;
++y;
++z;
}
if (noiseSize != 0.0) {
noiseSize = 1.0f / noiseSize;
x *= noiseSize;
y *= noiseSize;
z *= noiseSize;
}
float sum = 0, t, amp = 1, fscale = 1;
for (int i = 0; i <= noiseDepth; ++i, amp *= 0.5, fscale *= 2) {
t = abstractNoiseFunc.execute(fscale * x, fscale * y, fscale * z);
if (isHard) {
t = FastMath.abs(2.0f * t - 1.0f);
}
sum += t * amp;
}
sum *= (float) (1 << noiseDepth) / (float) ((1 << noiseDepth + 1) - 1);
return sum;
}
