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Noise benchmark reworkings

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RePixelatedMC
2024-05-16 16:55:14 +02:00
parent 1fe6d9a636
commit 07228afbff
2 changed files with 39 additions and 183 deletions
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185
core/src/main/java/com/volmit/iris/core/commands/CommandStudio.java
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@@ -29,6 +29,7 @@ import com.volmit.iris.core.project.IrisProject;
import com.volmit.iris.core.service.ConversionSVC;
import com.volmit.iris.core.service.StudioSVC;
import com.volmit.iris.core.tools.IrisConverter;
import com.volmit.iris.core.tools.IrisNoiseBenchmark;
import com.volmit.iris.core.tools.IrisToolbelt;
import com.volmit.iris.engine.framework.Engine;
import com.volmit.iris.engine.object.*;
@@ -371,188 +372,8 @@ public class CommandStudio implements DecreeExecutor {
@Param(description = "The dimension to profile", contextual = true, defaultValue = "default")
IrisDimension dimension
) {
// Todo: Make this more accurate
File pack = dimension.getLoadFile().getParentFile().getParentFile();
File report = Iris.instance.getDataFile("profile.txt");
IrisProject project = new IrisProject(pack);
IrisData data = IrisData.get(pack);
KList<String> fileText = new KList<>();
KMap<NoiseStyle, Double> styleTimings = new KMap<>();
KMap<InterpolationMethod, Double> interpolatorTimings = new KMap<>();
KMap<String, Double> generatorTimings = new KMap<>();
KMap<String, Double> biomeTimings = new KMap<>();
KMap<String, Double> regionTimings = new KMap<>();
sender().sendMessage("Calculating Performance Metrics for Noise generators");
for (NoiseStyle i : NoiseStyle.values()) {
CNG c = i.create(new RNG(i.hashCode()));
for (int j = 0; j < 3000; j++) {
c.noise(j, j + 1000, j * j);
c.noise(j, -j);
}
PrecisionStopwatch px = PrecisionStopwatch.start();
for (int j = 0; j < 100000; j++) {
c.noise(j, j + 1000, j * j);
c.noise(j, -j);
}
styleTimings.put(i, px.getMilliseconds());
}
fileText.add("Noise Style Performance Impacts: ");
for (NoiseStyle i : styleTimings.sortKNumber()) {
fileText.add(i.name() + ": " + styleTimings.get(i));
}
fileText.add("");
sender().sendMessage("Calculating Interpolator Timings...");
for (InterpolationMethod i : InterpolationMethod.values()) {
IrisInterpolator in = new IrisInterpolator();
in.setFunction(i);
in.setHorizontalScale(8);
NoiseProvider np = (x, z) -> Math.random();
for (int j = 0; j < 3000; j++) {
in.interpolate(j, -j, np);
}
PrecisionStopwatch px = PrecisionStopwatch.start();
for (int j = 0; j < 100000; j++) {
in.interpolate(j + 10000, -j - 100000, np);
}
interpolatorTimings.put(i, px.getMilliseconds());
}
fileText.add("Noise Interpolator Performance Impacts: ");
for (InterpolationMethod i : interpolatorTimings.sortKNumber()) {
fileText.add(i.name() + ": " + interpolatorTimings.get(i));
}
fileText.add("");
sender().sendMessage("Processing Generator Scores: ");
KMap<String, KList<String>> btx = new KMap<>();
for (String i : data.getGeneratorLoader().getPossibleKeys()) {
KList<String> vv = new KList<>();
IrisGenerator g = data.getGeneratorLoader().load(i);
KList<IrisNoiseGenerator> composites = g.getAllComposites();
double score = 0;
int m = 0;
for (IrisNoiseGenerator j : composites) {
m++;
score += styleTimings.get(j.getStyle().getStyle());
vv.add("Composite Noise Style " + m + " " + j.getStyle().getStyle().name() + ": " + styleTimings.get(j.getStyle().getStyle()));
}
score += interpolatorTimings.get(g.getInterpolator().getFunction());
vv.add("Interpolator " + g.getInterpolator().getFunction().name() + ": " + interpolatorTimings.get(g.getInterpolator().getFunction()));
generatorTimings.put(i, score);
btx.put(i, vv);
}
fileText.add("Project Generator Performance Impacts: ");
for (String i : generatorTimings.sortKNumber()) {
fileText.add(i + ": " + generatorTimings.get(i));
btx.get(i).forEach((ii) -> fileText.add(" " + ii));
}
fileText.add("");
KMap<String, KList<String>> bt = new KMap<>();
for (String i : data.getBiomeLoader().getPossibleKeys()) {
KList<String> vv = new KList<>();
IrisBiome b = data.getBiomeLoader().load(i);
double score = 0;
int m = 0;
for (IrisBiomePaletteLayer j : b.getLayers()) {
m++;
score += styleTimings.get(j.getStyle().getStyle());
vv.add("Palette Layer " + m + ": " + styleTimings.get(j.getStyle().getStyle()));
}
score += styleTimings.get(b.getBiomeStyle().getStyle());
vv.add("Biome Style: " + styleTimings.get(b.getBiomeStyle().getStyle()));
score += styleTimings.get(b.getChildStyle().getStyle());
vv.add("Child Style: " + styleTimings.get(b.getChildStyle().getStyle()));
biomeTimings.put(i, score);
bt.put(i, vv);
}
fileText.add("Project Biome Performance Impacts: ");
for (String i : biomeTimings.sortKNumber()) {
fileText.add(i + ": " + biomeTimings.get(i));
bt.get(i).forEach((ff) -> fileText.add(" " + ff));
}
fileText.add("");
for (String i : data.getRegionLoader().getPossibleKeys()) {
IrisRegion b = data.getRegionLoader().load(i);
double score = 0;
score += styleTimings.get(b.getLakeStyle().getStyle());
score += styleTimings.get(b.getRiverStyle().getStyle());
regionTimings.put(i, score);
}
fileText.add("Project Region Performance Impacts: ");
for (String i : regionTimings.sortKNumber()) {
fileText.add(i + ": " + regionTimings.get(i));
}
fileText.add("");
double m = 0;
for (double i : biomeTimings.v()) {
m += i;
}
m /= biomeTimings.size();
double mm = 0;
for (double i : generatorTimings.v()) {
mm += i;
}
mm /= generatorTimings.size();
m += mm;
double mmm = 0;
for (double i : regionTimings.v()) {
mmm += i;
}
mmm /= regionTimings.size();
m += mmm;
fileText.add("Average Score: " + m);
sender().sendMessage("Score: " + Form.duration(m, 0));
try {
IO.writeAll(report, fileText.toString("\n"));
} catch (IOException e) {
Iris.reportError(e);
e.printStackTrace();
}
sender().sendMessage(C.GREEN + "Done! " + report.getPath());
IrisNoiseBenchmark noiseBenchmark = new IrisNoiseBenchmark(dimension, sender());
noiseBenchmark.runAll();
}
@Decree(description = "Spawn an Iris entity", aliases = "summon", origin = DecreeOrigin.PLAYER)

37
core/src/main/java/com/volmit/iris/core/tools/IrisNoiseBenchmark.java
View File

@@ -34,7 +34,7 @@ public class IrisNoiseBenchmark {
public void runAll() {
// Todo: Make this more accurate
File pack = dimension.getLoadFile().getParentFile().getParentFile();
File report = Iris.instance.getDataFile("profile.txt");
File report = Iris.instance.getDataFile(pack.getName() + "-profile.txt");
IrisProject project = new IrisProject(pack);
IrisData data = IrisData.get(pack);
@@ -45,6 +45,7 @@ public class IrisNoiseBenchmark {
KMap<String, Double> generatorTimings = new KMap<>();
KMap<String, Double> biomeTimings = new KMap<>();
KMap<String, Double> regionTimings = new KMap<>();
KMap<String, Double> dimensionTimings = new KMap<>();
sender.sendMessage("Calculating Performance Metrics for Noise generators");
@@ -203,6 +204,40 @@ public class IrisNoiseBenchmark {
mmm /= regionTimings.size();
m += mmm;
KMap<String, KList<String>> dt = new KMap<>();
for (String i : data.getDimensionLoader().getPossibleKeys()) {
IrisDimension d = data.getDimensionLoader().load(i);
KList<String> vv = new KList<>();
double score = 0;
score += styleTimings.get(d.getContinentalStyle().getStyle());
vv.add("Continental Style: " + styleTimings.get(d.getContinentalStyle().getStyle()));
score += styleTimings.get(d.getRegionStyle().getStyle());
vv.add("Region Style: " + styleTimings.get(d.getRegionStyle().getStyle()));
score += styleTimings.get(d.getBiomeStyle(InferredType.LAND).getStyle());
vv.add("LandBiome Style: " + styleTimings.get(d.getBiomeStyle(InferredType.LAND).getStyle()));
score += styleTimings.get(d.getBiomeStyle(InferredType.SEA).getStyle());
vv.add("OceanBiome Style: " + styleTimings.get(d.getBiomeStyle(InferredType.SEA).getStyle()));
score += styleTimings.get(d.getCaveBiomeStyle().getStyle());
vv.add("CaveBiome Style: " + styleTimings.get(d.getCaveBiomeStyle().getStyle()));
score += styleTimings.get(d.getShoreBiomeStyle().getStyle());
vv.add("ShoreBiome Style: " + styleTimings.get(d.getShoreBiomeStyle().getStyle()));
dimensionTimings.put(i, score);
dt.put(i, vv);
}
fileText.add("Project Dimension Performance Impacts: ");
for (String i : dimensionTimings.sortKNumber()) {
fileText.add(i + ": " + dimensionTimings.get(i));
dt.get(i).forEach((ff) -> fileText.add(" " + ff));
}
fileText.add("");
fileText.add("Average Score: " + m);
sender.sendMessage("Score: " + Form.duration(m, 0));