DBot/KStarbound
DBot/KStarbound
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Use floats for perlin noise matrices, since they don't need double precision

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This commit is contained in:
DBotThePony 2024-04-21 22:27:48 +07:00
parent 135f8e9728
commit fbbab1c82d
Signed by: DBot
GPG Key ID: DCC23B5715498507
1 changed files with 27 additions and 27 deletions
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54
src/main/kotlin/ru/dbotthepony/kstarbound/util/random/AbstractPerlinNoise.kt
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@ -37,15 +37,15 @@ abstract class AbstractPerlinNoise(val parameters: PerlinNoiseParameters) {
protected data class Setup(val b0: Int, val b1: Int, val r0: Double, val r1: Double)
protected val p by lazy(LazyThreadSafetyMode.NONE) { IntArray(SCALE * 2 + 2) }
protected val g1 by lazy(LazyThreadSafetyMode.NONE) { DoubleArray(SCALE * 2 + 2) }
protected val g1 by lazy(LazyThreadSafetyMode.NONE) { FloatArray(SCALE * 2 + 2) }
// flat arrays for performance
protected val g2_0 by lazy(LazyThreadSafetyMode.NONE) { DoubleArray(SCALE * 2 + 2) }
protected val g2_1 by lazy(LazyThreadSafetyMode.NONE) { DoubleArray(SCALE * 2 + 2) }
protected val g2_0 by lazy(LazyThreadSafetyMode.NONE) { FloatArray(SCALE * 2 + 2) }
protected val g2_1 by lazy(LazyThreadSafetyMode.NONE) { FloatArray(SCALE * 2 + 2) }
protected val g3_0 by lazy(LazyThreadSafetyMode.NONE) { DoubleArray(SCALE * 2 + 2) }
protected val g3_1 by lazy(LazyThreadSafetyMode.NONE) { DoubleArray(SCALE * 2 + 2) }
protected val g3_2 by lazy(LazyThreadSafetyMode.NONE) { DoubleArray(SCALE * 2 + 2) }
protected val g3_0 by lazy(LazyThreadSafetyMode.NONE) { FloatArray(SCALE * 2 + 2) }
protected val g3_1 by lazy(LazyThreadSafetyMode.NONE) { FloatArray(SCALE * 2 + 2) }
protected val g3_2 by lazy(LazyThreadSafetyMode.NONE) { FloatArray(SCALE * 2 + 2) }
private var init = false
private val initLock = Any()
@ -90,42 +90,42 @@ abstract class AbstractPerlinNoise(val parameters: PerlinNoiseParameters) {
val g3_2 = g3_2
p.fill(0)
g1.fill(0.0)
g2_0.fill(0.0)
g2_1.fill(0.0)
g3_0.fill(0.0)
g3_1.fill(0.0)
g3_2.fill(0.0)
g1.fill(0f)
g2_0.fill(0f)
g2_1.fill(0f)
g3_0.fill(0f)
g3_1.fill(0f)
g3_2.fill(0f)
val random = random(seed)
for (i in 0 until SCALE) {
p[i] = i
g1[i] = random.nextInt(-SCALE, SCALE) / SCALE.toDouble()
g1[i] = random.nextInt(-SCALE, SCALE) / SCALE.toFloat()
g2_0[i] = random.nextInt(-SCALE, SCALE) / SCALE.toDouble()
g2_1[i] = random.nextInt(-SCALE, SCALE) / SCALE.toDouble()
g2_0[i] = random.nextInt(-SCALE, SCALE) / SCALE.toFloat()
g2_1[i] = random.nextInt(-SCALE, SCALE) / SCALE.toFloat()
g3_0[i] = random.nextInt(-SCALE, SCALE) / SCALE.toDouble()
g3_1[i] = random.nextInt(-SCALE, SCALE) / SCALE.toDouble()
g3_2[i] = random.nextInt(-SCALE, SCALE) / SCALE.toDouble()
g3_0[i] = random.nextInt(-SCALE, SCALE) / SCALE.toFloat()
g3_1[i] = random.nextInt(-SCALE, SCALE) / SCALE.toFloat()
g3_2[i] = random.nextInt(-SCALE, SCALE) / SCALE.toFloat()
val l2 = sqrt(g2_0[i] * g2_0[i] + g2_1[i] * g2_1[i])
val l3 = sqrt(g3_0[i] * g3_0[i] + g3_1[i] * g3_1[i] + g3_2[i] * g3_2[i])
if (l2 == 0.0) {
g2_0[i] = 1.0
g2_1[i] = 0.0
if (l2 == 0f) {
g2_0[i] = 1f
g2_1[i] = 0f
} else {
g2_0[i] = g2_0[i] / l2
g2_1[i] = g2_1[i] / l2
}
if (l3 == 0.0) {
g3_0[i] = 1.0
g3_1[i] = 0.0
g3_2[i] = 0.0
if (l3 == 0f) {
g3_0[i] = 1f
g3_1[i] = 0f
g3_2[i] = 0f
} else {
g3_0[i] = g3_0[i] / l3
g3_1[i] = g3_1[i] / l3
@ -171,12 +171,12 @@ abstract class AbstractPerlinNoise(val parameters: PerlinNoiseParameters) {
}
@Suppress("NOTHING_TO_INLINE")
protected inline fun at2(x: Double, y: Double, rx: Double, ry: Double): Double {
protected inline fun at2(x: Float, y: Float, rx: Double, ry: Double): Double {
return rx * x + ry * y
}
@Suppress("NOTHING_TO_INLINE")
protected inline fun at3(x: Double, y: Double, z: Double, rx: Double, ry: Double, rz: Double): Double {
protected inline fun at3(x: Float, y: Float, z: Float, rx: Double, ry: Double, rz: Double): Double {
return rx * x + ry * y + rz * z
}