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functional events in NoiseAddon

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dfsek 2021-07-21 20:10:57 -07:00
parent dce3742fcb
commit a0a15802e4
1 changed files with 35 additions and 36 deletions
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71
common/addons/config-noise-function/src/main/java/com/dfsek/terra/addons/noise/NoiseAddon.java
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@ -30,7 +30,6 @@ import com.dfsek.terra.api.addon.TerraAddon;
import com.dfsek.terra.api.addon.annotations.Addon;
import com.dfsek.terra.api.addon.annotations.Author;
import com.dfsek.terra.api.addon.annotations.Version;
import com.dfsek.terra.api.event.EventListener;
import com.dfsek.terra.api.event.events.config.pack.ConfigPackPreLoadEvent;
import com.dfsek.terra.api.injection.annotations.Inject;
import com.dfsek.terra.api.noise.NoiseSampler;
@ -44,7 +43,7 @@ import java.util.function.Supplier;
@Addon("config-noise-function")
@Author("Terra")
@Version("1.0.0")
public class NoiseAddon extends TerraAddon implements EventListener {
public class NoiseAddon extends TerraAddon {
@Inject
private TerraPlugin plugin;
@ -52,53 +51,53 @@ public class NoiseAddon extends TerraAddon implements EventListener {
@Override
public void initialize() {
plugin.getEventManager().registerListener(this, this);
}
plugin.getEventManager()
.register(ConfigPackPreLoadEvent.class)
.then(event -> {
CheckedRegistry<Supplier<ObjectTemplate<NoiseSampler>>> noiseRegistry = event.getPack().getOrCreateRegistry(NOISE_SAMPLER_TOKEN);
event.getPack()
.applyLoader(CellularSampler.DistanceFunction.class, (t, o, l) -> CellularSampler.DistanceFunction.valueOf((String) o))
.applyLoader(CellularSampler.ReturnType.class, (t, o, l) -> CellularSampler.ReturnType.valueOf((String) o))
.applyLoader(DimensionApplicableNoiseSampler.class, DimensionApplicableNoiseSampler::new);
public void packPreLoad(ConfigPackPreLoadEvent event) {
CheckedRegistry<Supplier<ObjectTemplate<NoiseSampler>>> noiseRegistry = event.getPack().getOrCreateRegistry(NOISE_SAMPLER_TOKEN);
event.getPack()
.applyLoader(CellularSampler.DistanceFunction.class, (t, o, l) -> CellularSampler.DistanceFunction.valueOf((String) o))
.applyLoader(CellularSampler.ReturnType.class, (t, o, l) -> CellularSampler.ReturnType.valueOf((String) o))
.applyLoader(DimensionApplicableNoiseSampler.class, DimensionApplicableNoiseSampler::new);
noiseRegistry.register("LINEAR", LinearNormalizerTemplate::new);
noiseRegistry.register("NORMAL", NormalNormalizerTemplate::new);
noiseRegistry.register("CLAMP", ClampNormalizerTemplate::new);
noiseRegistry.register("LINEAR", LinearNormalizerTemplate::new);
noiseRegistry.register("NORMAL", NormalNormalizerTemplate::new);
noiseRegistry.register("CLAMP", ClampNormalizerTemplate::new);
noiseRegistry.register("IMAGE", ImageSamplerTemplate::new);
noiseRegistry.register("IMAGE", ImageSamplerTemplate::new);
noiseRegistry.register("DOMAINWARP", DomainWarpTemplate::new);
noiseRegistry.register("DOMAINWARP", DomainWarpTemplate::new);
noiseRegistry.register("FBM", BrownianMotionTemplate::new);
noiseRegistry.register("PINGPONG", PingPongTemplate::new);
noiseRegistry.register("RIDGED", RidgedFractalTemplate::new);
noiseRegistry.register("FBM", BrownianMotionTemplate::new);
noiseRegistry.register("PINGPONG", PingPongTemplate::new);
noiseRegistry.register("RIDGED", RidgedFractalTemplate::new);
noiseRegistry.register("OPENSIMPLEX2", () -> new SimpleNoiseTemplate(OpenSimplex2Sampler::new));
noiseRegistry.register("OPENSIMPLEX2S", () -> new SimpleNoiseTemplate(OpenSimplex2SSampler::new));
noiseRegistry.register("PERLIN", () -> new SimpleNoiseTemplate(PerlinSampler::new));
noiseRegistry.register("SIMPLEX", () -> new SimpleNoiseTemplate(SimplexSampler::new));
noiseRegistry.register("GABOR", GaborNoiseTemplate::new);
noiseRegistry.register("OPENSIMPLEX2", () -> new SimpleNoiseTemplate(OpenSimplex2Sampler::new));
noiseRegistry.register("OPENSIMPLEX2S", () -> new SimpleNoiseTemplate(OpenSimplex2SSampler::new));
noiseRegistry.register("PERLIN", () -> new SimpleNoiseTemplate(PerlinSampler::new));
noiseRegistry.register("SIMPLEX", () -> new SimpleNoiseTemplate(SimplexSampler::new));
noiseRegistry.register("GABOR", GaborNoiseTemplate::new);
noiseRegistry.register("VALUE", () -> new SimpleNoiseTemplate(ValueSampler::new));
noiseRegistry.register("VALUECUBIC", () -> new SimpleNoiseTemplate(ValueCubicSampler::new));
noiseRegistry.register("VALUE", () -> new SimpleNoiseTemplate(ValueSampler::new));
noiseRegistry.register("VALUECUBIC", () -> new SimpleNoiseTemplate(ValueCubicSampler::new));
noiseRegistry.register("CELLULAR", CellularNoiseTemplate::new);
noiseRegistry.register("CELLULAR", CellularNoiseTemplate::new);
noiseRegistry.register("WHITENOISE", () -> new SimpleNoiseTemplate(WhiteNoiseSampler::new));
noiseRegistry.register("GAUSSIAN", () -> new SimpleNoiseTemplate(GaussianNoiseSampler::new));
noiseRegistry.register("WHITENOISE", () -> new SimpleNoiseTemplate(WhiteNoiseSampler::new));
noiseRegistry.register("GAUSSIAN", () -> new SimpleNoiseTemplate(GaussianNoiseSampler::new));
noiseRegistry.register("CONSTANT", ConstantNoiseTemplate::new);
noiseRegistry.register("CONSTANT", ConstantNoiseTemplate::new);
noiseRegistry.register("KERNEL", KernelTemplate::new);
noiseRegistry.register("KERNEL", KernelTemplate::new);
Map<String, DimensionApplicableNoiseSampler> packFunctions = new HashMap<>();
noiseRegistry.register("EXPRESSION", () -> new ExpressionFunctionTemplate(packFunctions));
Map<String, DimensionApplicableNoiseSampler> packFunctions = new HashMap<>();
noiseRegistry.register("EXPRESSION", () -> new ExpressionFunctionTemplate(packFunctions));
NoiseConfigPackTemplate template = new NoiseConfigPackTemplate();
event.loadTemplate(template);
packFunctions.putAll(template.getNoiseBuilderMap());
NoiseConfigPackTemplate template = new NoiseConfigPackTemplate();
event.loadTemplate(template);
packFunctions.putAll(template.getNoiseBuilderMap());
});
}
}