mirror of
https://github.com/curioustorvald/Terrarum.git
synced 2026-03-07 20:31:51 +09:00
torch should flicker less erratic now
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@@ -13,7 +13,7 @@ import net.torvald.terrarum.weather.WeatherMixer
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*/
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object BlockPropUtil {
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//var flickerFuncX: Second = 0f // saves current status (time) of func
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val flickerFuncDomain: Second = 0.06f // time between two noise sample
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val flickerFuncDomain: Second = 8f/64f // time between two noise sample
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val flickerFuncRange = 0.036f // intensity [0, 1]
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//var breathFuncX = 0f
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@@ -50,7 +50,7 @@ object BlockPropUtil {
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/**
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* Using our own timer so that they flickers for same duration regardless of game's FPS
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* Must be using ConsistentUpdateRate update governor
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*/
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internal fun dynamicLumFuncTickClock() {
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@@ -80,7 +80,7 @@ object BlockPropUtil {
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// FPS-time compensation
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if (Gdx.graphics.framesPerSecond > 0) {
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prop.rngBase0 += Gdx.graphics.deltaTime
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prop.rngBase0 += App.UPDATE_RATE
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}
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// reset timer
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@@ -36,6 +36,8 @@ import net.torvald.terrarum.serialise.ReadSimpleWorld
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import net.torvald.terrarum.ui.Toolkit
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import net.torvald.terrarum.ui.UICanvas
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import net.torvald.terrarum.weather.WeatherMixer
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import net.torvald.terrarum.weather.WeatherStateBox
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import net.torvald.terrarum.weather.Weatherbox
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import net.torvald.terrarum.worlddrawer.WorldCamera
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import net.torvald.util.CircularArray
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import java.io.IOException
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@@ -82,7 +84,7 @@ class TitleScreen(batch: FlippingSpriteBatch) : IngameInstance(batch) {
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val xperc: Double = (x - xwstart) / xw
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// return FastMath.interpolateLinear(xperc.toFloat(), cameraNodes[indexThis fmod cameraNodes.size], cameraNodes[(indexThis + 1) fmod cameraNodes.size]).toDouble()
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return FastMath.interpolateCatmullRom(xperc.toFloat(),
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return FastMath.interpolateCatmullRom(xperc.toFloat(), 1.0f, // somehow T=1 works really well thanks to my other smoothing technique
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cameraNodes[(indexThis - 1) fmod cameraNodes.size],
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cameraNodes[(indexThis - 0) fmod cameraNodes.size],
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cameraNodes[(indexThis + 1) fmod cameraNodes.size],
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@@ -14,6 +14,7 @@ import net.torvald.terrarum.savegame.ByteArray64GrowableOutputStream
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import net.torvald.terrarum.savegame.ByteArray64InputStream
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import net.torvald.terrarum.savegame.ByteArray64Reader
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import net.torvald.terrarum.utils.*
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import net.torvald.terrarum.weather.WeatherStateBox
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import org.apache.commons.codec.digest.DigestUtils
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import java.io.File
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import java.io.InputStream
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@@ -213,6 +214,18 @@ object Common {
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return if (jsonData.isNull) return null else strToBytes(StringReader(jsonData.asString())).toByteArray()
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}
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})
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// WeatherStateBox
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jsoner.setSerializer(WeatherStateBox::class.java, object : Json.Serializer<WeatherStateBox> {
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override fun write(json: Json, obj: WeatherStateBox, knownType: Class<*>?) {
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json.writeValue("${obj.x};${obj.p0};${obj.p1};${obj.p2};${obj.p3}")
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}
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override fun read(json: Json, jsonData: JsonValue, type: Class<*>?): WeatherStateBox {
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return jsonData.asString().split(';').map { it.toDouble() }.let {
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WeatherStateBox(it[0], it[1], it[2], it[3], it[4])
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}
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}
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})
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}
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@@ -90,6 +90,9 @@ internal object WeatherMixer : RNGConsumer {
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private var astrumOffY = 0f
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private val clouds = SortedArrayList<WeatherObjectCloud>()
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// val weatherbox: Weatherbox
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var cloudsSpawned = 0; private set
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private var windVector = Vector3(-1f, 0f, 0.1f) // this is a direction vector
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val cloudSpawnMax: Int
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47
src/net/torvald/terrarum/weather/Weatherbox.kt
Normal file
47
src/net/torvald/terrarum/weather/Weatherbox.kt
Normal file
@@ -0,0 +1,47 @@
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package net.torvald.terrarum.weather
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import com.jme3.math.FastMath
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import net.torvald.random.HQRNG
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import java.util.*
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class Weatherbox {
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val RNG: HQRNG
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get() = WeatherMixer.RNG
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}
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data class WeatherStateBox(var x: Double, var p0: Double, var p1: Double, var p2: Double, var p3: Double) {
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fun get() = interpolateCatmullRom(x, p0, p1, p2, p3)
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fun getAndUpdate(xdelta: Double, RNG: Random): Double {
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synchronized(RNG) {
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val y = get()
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x += xdelta
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while (x >= 1.0) {
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x -= 1.0
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p0 = p1
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p1 = p2
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p2 = p3
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p3 = RNG.nextDouble()
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}
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return y
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}
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}
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companion object {
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// fixed with T=0.5
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fun interpolateCatmullRom(u: Double, p0: Double, p1: Double, p2: Double, p3: Double): Double {
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val c1: Double = p1
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val c2: Double = -0.5 * p0 + 0.5 * p2
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val c3: Double = p0 - 2.5 * p1 + 2.0 * p2 - 0.5 * p3
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val c4: Double = -0.5 * p0 + 1.5 * p1 - 1.5 * p2 + 0.5 * p3
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return (((c4 * u + c3) * u + c2) * u + c1)
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}
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}
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}
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