103 lines
3.3 KiB
Go
103 lines
3.3 KiB
Go
package gen
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import (
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"math"
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"github.com/admin-else/strom/mc/data"
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)
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type NoiseParam int
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const (
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NoiseParamTemperature NoiseParam = iota
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NoiseParamHumidity
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NoiseParamContinentalNess
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NoiseParamErosion
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NoiseParamShift
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NoiseParamWeirdness
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)
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type NoiseParamMapV struct {
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A []float64
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S string
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O int
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}
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var NoiseParamMap = map[NoiseParam]NoiseParamMapV{
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NoiseParamShift: {A: []float64{1, 1, 1, 0}, S: "minecraft:offset", O: -3},
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NoiseParamTemperature: {A: []float64{1.5, 0, 1, 0, 0, 0}, S: "minecraft:temperature", O: -10},
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NoiseParamHumidity: {A: []float64{1, 1, 0, 0, 0, 0}, S: "minecraft:vegetation", O: -8},
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NoiseParamContinentalNess: {A: []float64{1, 1, 2, 2, 2, 1, 1, 1, 1}, S: "minecraft:continentalness", O: -9},
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NoiseParamErosion: {A: []float64{1, 1, 0, 1, 1}, S: "minecraft:erosion", O: -9},
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NoiseParamWeirdness: {A: []float64{1, 2, 1, 0, 0, 0}, S: "minecraft:ridge", O: -7},
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}
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func initClimateSeed(n NoiseParam, x Xoroshiro, large bool, nmax int) DoublePerlin {
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v := NoiseParamMap[n]
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s := v.S
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omin := v.O
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if large && n != NoiseParamShift && n != NoiseParamWeirdness {
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s += "_large"
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omin -= 2
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}
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x.XorString(s)
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return DoublePerlinFromXoroshiro(&x, v.A, omin, len(v.A), nmax)
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}
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type BiomeNoise struct {
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Temperature, Humidity, ContinentalNess, Erosion, Shift, Weirdness DoublePerlin
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}
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func BiomeNoiseFromXoroshiro(x Xoroshiro, large bool) (v BiomeNoise) {
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x = x.Split()
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v.Temperature = initClimateSeed(NoiseParamTemperature, x, large, -1)
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v.Humidity = initClimateSeed(NoiseParamHumidity, x, large, -1)
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v.ContinentalNess = initClimateSeed(NoiseParamContinentalNess, x, large, -1)
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v.Erosion = initClimateSeed(NoiseParamErosion, x, large, -1)
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v.Shift = initClimateSeed(NoiseParamShift, x, large, -1)
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v.Weirdness = initClimateSeed(NoiseParamWeirdness, x, large, -1)
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return
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}
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func peaksAndValleys(weirdness float64) float64 {
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return -(math.Abs(math.Abs(weirdness)-0.6666667) - 0.33333334) * 3.0
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}
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// Sample returns the raw climate parameters at the block position.
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// The returned id is currently unused and always 0; use SampleBiome to resolve
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// the biome from a multi-noise parameter list.
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func (b BiomeNoise) Sample(x, y, z int) (t, h, c, e, d, w float64, combinedData [6]int64, id int) {
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px := float64(x)
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pz := float64(z)
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px += b.Shift.Sample(px, 0, pz) * 4
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pz += b.Shift.Sample(pz, float64(x), 0) * 4
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c = b.ContinentalNess.Sample(px, 0, pz)
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e = b.Erosion.Sample(px, 0, pz)
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w = b.Weirdness.Sample(px, 0, pz)
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t = b.Temperature.Sample(px, 0, pz)
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h = b.Humidity.Sample(px, 0, pz)
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off := float64(BiomeDepthSpline.Sample([]float32{float32(c), float32(e), float32(peaksAndValleys(w)), float32(w)})) + 0.015
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d = 1.0 - (float64(y)*4)/128.0 - 83.0/160.0 + off
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combinedData = [6]int64{
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int64(float32(t) * 10000.0),
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int64(float32(h) * 10000.0),
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int64(float32(c) * 10000.0),
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int64(float32(e) * 10000.0),
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int64(float32(d) * 10000.0),
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int64(float32(w) * 10000.0),
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}
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return
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}
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// SampleBiome samples the climate noise at (x, y, z) and resolves it through
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// the supplied multi-noise parameter list. preset should be one of the
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// data.MultiNoise* constants.
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func (b BiomeNoise) SampleBiome(x, y, z int, mnd *data.MultiNoiseData, preset string) (string, error) {
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_, _, _, _, _, _, combined, _ := b.Sample(x, y, z)
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return mnd.Lookup(preset, combined[0], combined[1], combined[2], combined[3], combined[4], combined[5])
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}
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