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https://github.com/PolyhedralDev/Terra.git
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Remove temp DerivativeFractl nose
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@@ -1,31 +0,0 @@
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package com.dfsek.terra.addons.noise.config.templates.noise;
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import com.dfsek.tectonic.api.config.template.annotations.Default;
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import com.dfsek.tectonic.api.config.template.annotations.Value;
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import com.dfsek.terra.addons.noise.config.templates.SamplerTemplate;
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import com.dfsek.terra.addons.noise.samplers.noise.simplex.DerivativeFractal;
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public class DerivativeFractalTemplate extends DerivativeNoiseTemplate<DerivativeFractal> {
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@Value("octaves")
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@Default
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private int octaves = 3;
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@Value("gain")
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@Default
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private double gain = 0.5;
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@Value("lacunarity")
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@Default
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private double lacunarity = 2.0;
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@Override
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public DerivativeFractal get() {
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DerivativeFractal derivativeFractal = new DerivativeFractal(octaves, gain, lacunarity);
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derivativeFractal.setFrequency(frequency);
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derivativeFractal.setSalt(salt);
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return derivativeFractal;
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}
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}
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@@ -1,122 +0,0 @@
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package com.dfsek.terra.addons.noise.samplers.noise.simplex;
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import com.dfsek.terra.addons.noise.samplers.noise.DerivativeNoiseFunction;
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import static com.dfsek.terra.addons.noise.samplers.noise.PseudoErosionSampler.dot;
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/**
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* Temporary sampler that provides derivatives to test pseudoerosion, should be replaced with
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* derivative versions of existing samplers
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*/
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public class DerivativeFractal extends DerivativeNoiseFunction {
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private final int heightOctaves;
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private final double heightGain;
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private final double heightLacunarity;
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private static final float HASH_X = 0.3183099f;
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private static final float HASH_Y = 0.3678794f;
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public DerivativeFractal(int octaves, double gain, double lacunarity) {
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this.heightOctaves = octaves;
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this.heightGain = gain;
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this.heightLacunarity = lacunarity;
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}
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public static float hash(float x, float y) {
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float xx = x * HASH_X + HASH_Y;
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float yy = y * HASH_Y + HASH_X;
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// Swapped the components here
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return 16 * (xx * yy * (xx + yy));
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}
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public static float hashX(float n) {
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// Swapped the components here
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float nx = HASH_X * n;
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return -1.0f + 2.0f * fract(nx);
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}
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public static float hashY(float n) {
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float ny = HASH_Y * n;
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return -1.0f + 2.0f * fract(ny);
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}
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public static float fract(float x) {
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return (x - (float)Math.floor(x));
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}
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private static float[] baseNoise(float px, float py) {
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float ix = (float)Math.floor(px);
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float iy = (float)Math.floor(py);
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float fx = px - ix;
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float fy = py - iy;
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float ux = fx * fx * fx * (fx * (fx * 6.0f - 15.0f) + 10.0f);
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float uy = fy * fy * fy * (fy * (fy * 6.0f - 15.0f) + 10.0f);
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float dux = fx * fx * 30.0f * (fx * (fx - 2.0f) + 1.0f);
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float duy = fy * fy * 30.0f * (fy * (fy - 2.0f) + 1.0f);
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float gan = hash(ix, iy);
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float gax = hashX(gan);
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float gay = hashY(gan);
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float gbn = hash(ix + 1, iy);
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float gbx = hashX(gbn);
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float gby = hashY(gbn);
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float gcn = hash(ix, iy + 1);
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float gcx = hashX(gcn);
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float gcy = hashY(gcn);
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float gdn = hash(ix + 1, iy + 1);
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float gdx = hashX(gdn);
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float gdy = hashY(gdn);
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float va = dot(gax, gay, fx, fy);
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float vb = dot(gbx, gby, fx - 1, fy);
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float vc = dot(gcx, gcy, fx, fy - 1);
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float vd = dot(gdx, gdy, fx - 1, fy - 1);
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float u2x = gax + (gbx - gax) * ux + (gcx - gax) * uy + (gax - gbx - gcx + gdx) * ux * uy + dux * (uy * (va - vb - vc + vd) + vb - va);
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float u2y = gay + (gby - gay) * ux + (gcy - gay) * uy + (gay - gby - gcy + gdy) * ux * uy + duy * (ux * (va - vb - vc + vd) + vc - va);
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return new float[] { va + ux * (vb - va) + uy * (vc - va) + ux * uy * (va - vb - vc + vd), u2x, u2y };
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}
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@Override
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public double[] getNoiseDerivativeRaw(long seed, double x, double y) {
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double[] out = { 0.0f, 0.0f, 0.0f };
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float heightFreq = 1.0f;
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float heightAmp = 1f;
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float cumAmp = 0.0f;
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for (int i = 0; i < heightOctaves; i++) {
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float[] noise = baseNoise((float) (x * heightFreq), (float) (y * heightFreq));
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out[0] += noise[0] * heightAmp;
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out[1] += noise[1] * heightAmp * heightFreq;
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out[2] += noise[2] * heightAmp * heightFreq;
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cumAmp += heightAmp;
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heightAmp *= heightGain;
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heightFreq *= heightLacunarity;
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}
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out[0] /= cumAmp;
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out[1] /= cumAmp;
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out[2] /= cumAmp;
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return out;
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}
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@Override
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public double[] getNoiseDerivativeRaw(long seed, double x, double y, double z) {
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return getNoiseDerivativeRaw(seed, x, y);
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}
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@Override
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public double getNoiseRaw(long seed, double x, double y) {
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return getNoiseDerivativeRaw(seed, x, y)[0];
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}
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@Override
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public double getNoiseRaw(long seed, double x, double y, double z) {
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return getNoiseRaw(seed, x, y);
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}
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}
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