mirror of
https://github.com/curioustorvald/Terrarum.git
synced 2026-06-10 18:44:05 +09:00
Former-commit-id: b1168a53fd5fbd09c6a5a76506402560fc4e0fd7 Former-commit-id: a0d455da14a6eb7bf0127e136949273ec5a28628
203 lines
6.9 KiB
Kotlin
203 lines
6.9 KiB
Kotlin
package net.torvald.terrarum
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import com.sudoplay.joise.Joise
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import com.sudoplay.joise.module.*
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import net.torvald.terrarum.Terrarum.STATE_ID_TOOL_NOISEGEN
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import net.torvald.terrarum.concurrent.ThreadParallel
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import net.torvald.terrarum.gameactors.roundInt
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import org.newdawn.slick.*
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import org.newdawn.slick.state.BasicGameState
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import org.newdawn.slick.state.StateBasedGame
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import java.util.*
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/**
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* Created by minjaesong on 2016-12-21.
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*/
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class StateNoiseTexGen : BasicGameState() {
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companion object {
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val imagesize = 512
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val sampleDensity = 1.0
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val noiseImageBuffer = ImageBuffer(imagesize, imagesize)
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var generating = false
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}
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override fun init(p0: GameContainer?, p1: StateBasedGame?) {
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generateNoiseImage()
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}
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private fun noiseRidged(): Joise {
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val ridged = ModuleFractal()
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ridged.setType(ModuleFractal.FractalType.RIDGEMULTI)
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ridged.setAllSourceInterpolationTypes(ModuleBasisFunction.InterpolationType.QUINTIC)
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ridged.setNumOctaves(4)
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ridged.setFrequency(1.0)
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ridged.seed = Random().nextLong()
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val ridged_autocorrect = ModuleAutoCorrect()
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ridged_autocorrect.setRange(0.0, 1.0)
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ridged_autocorrect.setSource(ridged)
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return Joise(ridged_autocorrect)
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}
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private fun noiseBrownian(): Joise {
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val ridged = ModuleFractal()
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ridged.setType(ModuleFractal.FractalType.FBM)
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ridged.setAllSourceInterpolationTypes(ModuleBasisFunction.InterpolationType.QUINTIC)
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ridged.setNumOctaves(8)
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ridged.setFrequency(1.0)
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ridged.seed = Random().nextLong()
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val ridged_autocorrect = ModuleAutoCorrect()
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ridged_autocorrect.setRange(0.0, 1.0)
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ridged_autocorrect.setSource(ridged)
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return Joise(ridged_autocorrect)
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}
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private fun noiseBrownianGranite(): Joise {
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val ridged = ModuleFractal()
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ridged.setType(ModuleFractal.FractalType.FBM)
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ridged.setAllSourceInterpolationTypes(ModuleBasisFunction.InterpolationType.QUINTIC)
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ridged.setNumOctaves(2)
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ridged.setFrequency(16.0)
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ridged.seed = Random().nextLong()
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val brownian_select = ModuleSelect()
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brownian_select.setControlSource(ridged)
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brownian_select.setThreshold(0.8)
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brownian_select.setLowSource(0.0)
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brownian_select.setHighSource(1.0)
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return Joise(brownian_select)
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}
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private fun noiseBillowFractal(): Joise {
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val ridged = ModuleFractal()
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ridged.setType(ModuleFractal.FractalType.BILLOW)
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ridged.setAllSourceInterpolationTypes(ModuleBasisFunction.InterpolationType.QUINTIC)
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ridged.setNumOctaves(8)
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ridged.setFrequency(1.0)
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ridged.seed = Random().nextLong()
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val ridged_autocorrect = ModuleAutoCorrect()
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ridged_autocorrect.setRange(0.0, 1.0)
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ridged_autocorrect.setSource(ridged)
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return Joise(ridged_autocorrect)
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}
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private fun noiseSimplex(): Joise {
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val simplex = ModuleFractal()
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simplex.seed = Random().nextLong()
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simplex.setAllSourceBasisTypes(ModuleBasisFunction.BasisType.SIMPLEX)
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simplex.setAllSourceInterpolationTypes(ModuleBasisFunction.InterpolationType.LINEAR)
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simplex.setNumOctaves(2)
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simplex.setFrequency(1.0)
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val simplex_autocorrect = ModuleAutoCorrect()
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simplex_autocorrect.setRange(0.0, 1.0)
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simplex_autocorrect.setSource(simplex)
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return Joise(simplex_autocorrect)
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}
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private fun noiseCellular(): Joise {
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val cellgen = ModuleCellGen()
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cellgen.seed = Random().nextLong()
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val cellular = ModuleCellular()
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cellular.setCellularSource(cellgen)
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cellular.setCoefficients(-1.0, 1.0, 0.0, 0.0)
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val cellular_autocorrect = ModuleAutoCorrect()
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cellular_autocorrect.setRange(0.0, 1.0)
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cellular_autocorrect.setSource(cellular)
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return Joise(cellular_autocorrect)
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}
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fun generateNoiseImage() {
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val noiseModule = noiseBrownianGranite() // change noise function here
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for (y in 0..imagesize - 1) {
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for (x in 0..imagesize - 1) {
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noiseImageBuffer.setRGBA(x, y, 0, 0, 0, 255)
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}
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}
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for (i in 0..Terrarum.THREADS - 1) {
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ThreadParallel.map(
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i,
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ThreadRunNoiseSampling(
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imagesize.toFloat().div(Terrarum.THREADS).times(i).roundInt(),
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imagesize.toFloat().div(Terrarum.THREADS).times(i.plus(1)).roundInt() - 1,
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noiseModule
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),
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"SampleJoiseMap"
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)
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}
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ThreadParallel.startAll()
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}
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override fun update(gc: GameContainer, sbg: StateBasedGame, delta: Int) {
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Terrarum.appgc.setTitle("${Terrarum.NAME} — F: ${Terrarum.appgc.fps}")
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if (ThreadParallel.allFinished()) generating = false
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}
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override fun getID() = STATE_ID_TOOL_NOISEGEN
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override fun render(gc: GameContainer, sbg: StateBasedGame, g: Graphics) {
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g.color = Color.red
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g.drawString("Press SPACE to generate new noise", 8f, 8f)
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g.drawString("CPUs: ${Terrarum.THREADS}", Terrarum.WIDTH - 90f, 8f)
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g.background = Color.cyan
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val img = noiseImageBuffer.image
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g.drawImage(img,//noiseImage,
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Terrarum.WIDTH.minus(imagesize).div(2).toFloat(),
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Terrarum.HEIGHT.minus(imagesize).div(2).toFloat()
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)
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img.destroy()
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}
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override fun keyPressed(key: Int, c: Char) {
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if (c == ' ' && !generating) {
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println("Generating noise, may take a while")
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generating = true
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generateNoiseImage()
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}
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}
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class ThreadRunNoiseSampling(val startIndex: Int, val endIndex: Int, val joise: Joise) : Runnable {
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override fun run() {
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for (sy in startIndex..endIndex) {
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for (sx in 0..imagesize - 1) {
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val y = sy.toDouble() / imagesize
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val x = sx.toDouble() / imagesize
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val sampleOffset = sampleDensity
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// 4-D toroidal sampling (looped H and V)
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val sampleTheta1 = x * Math.PI * 2.0
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val sampleTheta2 = y * Math.PI * 2.0
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val sampleX = Math.sin(sampleTheta1) * sampleDensity + sampleDensity
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val sampleY = Math.cos(sampleTheta1) * sampleDensity + sampleDensity
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val sampleZ = Math.sin(sampleTheta2) * sampleDensity + sampleDensity
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val sampleW = Math.cos(sampleTheta2) * sampleDensity + sampleDensity
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val noise = joise.get(
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sampleX, sampleY, sampleZ, sampleW
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) // autocorrection REQUIRED!
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val noiseCol = noise.times(255f).toInt()
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noiseImageBuffer.setRGBA(sx, sy, noiseCol, noiseCol, noiseCol, 255)
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}
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}
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}
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}
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} |