Files
Terrarum/src/net/torvald/terrarum/StateNoiseTester.kt
Song Minjae 8ef3c282ce bringing other memory info back
Former-commit-id: a189dc26e906a6cfd85ca68b4db849426c48ce52
Former-commit-id: 267e95f7d52c126b5d3787358477fc29fb50ad8e
2017-01-31 01:10:18 +09:00

284 lines
11 KiB
Kotlin

package net.torvald.terrarum
import com.sudoplay.joise.Joise
import com.sudoplay.joise.module.*
import net.torvald.random.HQRNG
import net.torvald.terrarum.concurrent.ThreadParallel
import net.torvald.terrarum.gameactors.roundInt
import org.newdawn.slick.Color
import org.newdawn.slick.GameContainer
import org.newdawn.slick.Graphics
import org.newdawn.slick.ImageBuffer
import org.newdawn.slick.state.BasicGameState
import org.newdawn.slick.state.StateBasedGame
import java.util.*
/**
* WARNING! HAS SERIOUS MEMORY LEAK
*
* Created by SKYHi14 on 2017-01-30.
*/
class StateNoiseTester : BasicGameState() {
companion object {
val imagesize = 512
val sampleDensity = 1.0
val noiseImageBuffer = ImageBuffer(imagesize, imagesize)
var generating = false
}
override fun init(p0: GameContainer?, p1: StateBasedGame?) {
generateNoiseImage()
}
private fun noise(seed: Long): Joise {
/* Init */
val joiseSeed = seed
val lowlandMagic: Long = 0x44A21A114DBE56 // maria lindberg
val highlandMagic: Long = 0x0114E091 // olive oyl
val mountainMagic: Long = 0x115AA4DE2504 // lisa anderson
val selectionMagic: Long = 0x44E10D9B100 // melody blue
val ground_gradient = ModuleGradient()
ground_gradient.setGradient(0.0, 0.0, 0.0, 1.0)
/* Lowlands */
val lowland_shape_fractal = ModuleFractal()
lowland_shape_fractal.setType(ModuleFractal.FractalType.FBM)
lowland_shape_fractal.setAllSourceBasisTypes(ModuleBasisFunction.BasisType.GRADIENT)
lowland_shape_fractal.setAllSourceInterpolationTypes(ModuleBasisFunction.InterpolationType.QUINTIC)
lowland_shape_fractal.setNumOctaves(2)
lowland_shape_fractal.setFrequency(1.0)
lowland_shape_fractal.seed = joiseSeed xor lowlandMagic
val lowland_autocorrect = ModuleAutoCorrect()
lowland_autocorrect.setSource(lowland_shape_fractal)
lowland_autocorrect.setLow(0.0)
lowland_autocorrect.setHigh(1.0)
val lowland_scale = ModuleScaleOffset()
lowland_scale.setSource(lowland_autocorrect)
lowland_scale.setScale(0.2)
lowland_scale.setOffset(-0.25)
val lowland_y_scale = ModuleScaleDomain()
lowland_y_scale.setSource(lowland_scale)
lowland_y_scale.setScaleY(0.0)
val lowland_terrain = ModuleTranslateDomain()
lowland_terrain.setSource(ground_gradient)
lowland_terrain.setAxisYSource(lowland_y_scale)
/* highlands */
val highland_shape_fractal = ModuleFractal()
highland_shape_fractal.setType(ModuleFractal.FractalType.RIDGEMULTI)
highland_shape_fractal.setAllSourceBasisTypes(ModuleBasisFunction.BasisType.GRADIENT)
highland_shape_fractal.setAllSourceInterpolationTypes(ModuleBasisFunction.InterpolationType.QUINTIC)
highland_shape_fractal.setNumOctaves(2)
highland_shape_fractal.setFrequency(2.0)
highland_shape_fractal.seed = joiseSeed xor highlandMagic
val highland_autocorrect = ModuleAutoCorrect()
highland_autocorrect.setSource(highland_shape_fractal)
highland_autocorrect.setLow(0.0)
highland_autocorrect.setHigh(1.0)
val highland_scale = ModuleScaleOffset()
highland_scale.setSource(highland_autocorrect)
highland_scale.setScale(0.45)
highland_scale.setOffset(0.0)
val highland_y_scale = ModuleScaleDomain()
highland_y_scale.setSource(highland_scale)
highland_y_scale.setScaleY(0.0)
val highland_terrain = ModuleTranslateDomain()
highland_terrain.setSource(ground_gradient)
highland_terrain.setAxisYSource(highland_y_scale)
/* mountains */
val mountain_shape_fractal = ModuleFractal()
mountain_shape_fractal.setType(ModuleFractal.FractalType.BILLOW)
mountain_shape_fractal.setAllSourceBasisTypes(ModuleBasisFunction.BasisType.GRADIENT)
mountain_shape_fractal.setAllSourceInterpolationTypes(ModuleBasisFunction.InterpolationType.QUINTIC)
mountain_shape_fractal.setNumOctaves(4)
mountain_shape_fractal.setFrequency(1.0)
mountain_shape_fractal.seed = joiseSeed xor mountainMagic
val mountain_autocorrect = ModuleAutoCorrect()
mountain_autocorrect.setSource(mountain_shape_fractal)
mountain_autocorrect.setLow(0.0)
mountain_autocorrect.setHigh(1.0)
val mountain_scale = ModuleScaleOffset()
mountain_scale.setSource(mountain_autocorrect)
mountain_scale.setScale(0.75)
mountain_scale.setOffset(0.25)
val mountain_y_scale = ModuleScaleDomain()
mountain_y_scale.setSource(mountain_scale)
mountain_y_scale.setScaleY(0.1) // controls "quirkiness" of the mountain
val mountain_terrain = ModuleTranslateDomain()
mountain_terrain.setSource(ground_gradient)
mountain_terrain.setAxisYSource(mountain_y_scale)
/* selection */
val terrain_type_fractal = ModuleFractal()
terrain_type_fractal.setType(ModuleFractal.FractalType.FBM)
terrain_type_fractal.setAllSourceBasisTypes(ModuleBasisFunction.BasisType.GRADIENT)
terrain_type_fractal.setAllSourceInterpolationTypes(ModuleBasisFunction.InterpolationType.QUINTIC)
terrain_type_fractal.setNumOctaves(3)
terrain_type_fractal.setFrequency(0.5)
terrain_type_fractal.seed = joiseSeed xor selectionMagic
val terrain_autocorrect = ModuleAutoCorrect()
terrain_autocorrect.setSource(terrain_type_fractal)
terrain_autocorrect.setLow(0.0)
terrain_autocorrect.setHigh(1.0)
val terrain_type_cache = ModuleCache()
terrain_type_cache.setSource(terrain_autocorrect)
val highland_mountain_select = ModuleSelect()
highland_mountain_select.setLowSource(highland_terrain)
highland_mountain_select.setHighSource(mountain_terrain)
highland_mountain_select.setControlSource(terrain_type_cache)
highland_mountain_select.setThreshold(0.55)
highland_mountain_select.setFalloff(0.15)
val highland_lowland_select = ModuleSelect()
highland_lowland_select.setLowSource(lowland_terrain)
highland_lowland_select.setHighSource(highland_mountain_select)
highland_lowland_select.setControlSource(terrain_type_cache)
highland_lowland_select.setThreshold(0.25)
highland_lowland_select.setFalloff(0.15)
val ground_select = ModuleSelect()
ground_select.setLowSource(0.0)
ground_select.setHighSource(1.0)
ground_select.setThreshold(0.5)
ground_select.setControlSource(highland_lowland_select)
val joise = Joise(ground_select)
return joise
}
fun generateNoiseImage() {
val noiseModule = noise(HQRNG().nextLong()) // change noise function here
for (y in 0..imagesize - 1) {
for (x in 0..imagesize - 1) {
noiseImageBuffer.setRGBA(x, y, 0, 0, 0, 255)
}
}
for (i in 0..Terrarum.THREADS - 1) {
ThreadParallel.map(
i,
ThreadRunNoiseSampling(
imagesize.toFloat().div(Terrarum.THREADS).times(i).roundInt(),
imagesize.toFloat().div(Terrarum.THREADS).times(i.plus(1)).roundInt() - 1,
noiseModule
),
"SampleJoiseMap"
)
}
ThreadParallel.startAll()
}
override fun update(gc: GameContainer, sbg: StateBasedGame, delta: Int) {
Terrarum.appgc.setTitle(
Terrarum.NAME +
" — F: ${Terrarum.appgc.fps} (${Terrarum.TARGET_INTERNAL_FPS})" +
" — M: ${Terrarum.memInUse}M / ${Terrarum.memTotal}M / ${Terrarum.memXmx}M"
)
if (ThreadParallel.allFinished()) generating = false
}
override fun getID() = Terrarum.STATE_ID_TOOL_NOISEGEN
override fun render(gc: GameContainer, sbg: StateBasedGame, g: Graphics) {
g.color = Color.red
g.drawString("Press SPACE to generate new noise", 8f, 8f)
g.drawString("CPUs: ${Terrarum.THREADS}", Terrarum.WIDTH - 90f, 8f)
g.background = Color.cyan
g.drawImage(noiseImageBuffer.image,//noiseImage,
Terrarum.WIDTH.minus(imagesize).div(2).toFloat(),
Terrarum.HEIGHT.minus(imagesize).div(2).toFloat()
)
}
override fun keyPressed(key: Int, c: Char) {
if (c == ' ' && !generating) {
println("Generating noise, may take a while")
generating = true
generateNoiseImage()
}
}
class ThreadRunNoiseSampling(val startIndex: Int, val endIndex: Int, val joise: Joise) : Runnable {
/*override fun run() {
for (sy in startIndex..endIndex) {
for (sx in 0..imagesize - 1) {
val y = sy.toDouble() / imagesize
val x = sx.toDouble() / imagesize
val sampleOffset = sampleDensity
// 4-D toroidal sampling (looped H and V)
val sampleTheta1 = x * Math.PI * 2.0
val sampleTheta2 = y * Math.PI * 2.0
val sampleX = Math.sin(sampleTheta1) * sampleDensity + sampleDensity
val sampleY = Math.cos(sampleTheta1) * sampleDensity + sampleDensity
val sampleZ = Math.sin(sampleTheta2) * sampleDensity + sampleDensity
val sampleW = Math.cos(sampleTheta2) * sampleDensity + sampleDensity
val noise = joise.get(
sampleX, sampleY, sampleZ, sampleW
) // autocorrection REQUIRED!
val noiseCol = noise.times(255f).toInt()
noiseImageBuffer.setRGBA(sx, sy, noiseCol, noiseCol, noiseCol, 255)
}
}
}*/
override fun run() {
for (sy in startIndex..endIndex) {
for (sx in 0..imagesize - 1) {
val y = sy.toDouble() / imagesize * 1.5 -.6
val x = sx.toDouble() / imagesize
val sampleOffset = sampleDensity
// 4-D toroidal sampling (looped H and V)
val sampleTheta1 = x * Math.PI * 2.0
val sampleX = Math.sin(sampleTheta1) * sampleDensity + sampleDensity
val sampleZ = Math.cos(sampleTheta1) * sampleDensity + sampleDensity
val sampleY = y
val noise = joise.get(
sampleX, sampleY, sampleZ
) // autocorrection REQUIRED!
val noiseCol = noise.times(255f).toInt()
noiseImageBuffer.setRGBA(sx, sy, noiseCol, noiseCol, noiseCol, 255)
}
}
}
}
}