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Sync daemon authority migration

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Meta Vens 2026-06-21 09:37:54 +01:00
commit 39a0dc8737
295 changed files with 25121 additions and 7360 deletions
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23
Assets/Scripts/ServerShared/SampleElimination.cs
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@ -3,15 +3,13 @@ using System.Collections.Generic;
using System.Linq;
using DataStructures.ViliWonka.Heap;
using DataStructures.ViliWonka.KDTree;
using Unity.Mathematics;
using static Unity.Mathematics.math;
using float2 = Unity.Mathematics.float2;
using Random = Unity.Mathematics.Random;
public static class WeightedSampleElimination
{
private static float2 boundsMin = float2.zero; // The minimum bounds of the sampling domain
private static float2 boundsMax = float2(1); // The maximum bounds of the sampling domain
private static float2 boundsMin = new float2(0, 0); // The minimum bounds of the sampling domain
private static float2 boundsMax = new float2(1, 1); // The maximum bounds of the sampling domain
// Returns the minimum bounds of the sampling domain.
// The sampling domain boundaries are used for tiling and computing the maximum possible
@ -82,8 +80,8 @@ public static class WeightedSampleElimination
if ( d_max < .001f ) d_max = 2 * GetMaxPoissonDiskRadius( outputPoints.Length );
Eliminate( inputPoints, outputPoints, (p0, p1, d2, dmax, density) =>
{
float d = sqrt(d2);
return pow( 1 - d / dmax, 5 + 6 * density );
float d = MathF.Sqrt(d2);
return MathF.Pow( 1 - d / dmax, 5 + 6 * density );
}, densityFunc, d_max);
}
@ -97,7 +95,7 @@ public static class WeightedSampleElimination
while (sample < inputSamples.Length)
{
var v = random.NextFloat2();
accumulator += pow(saturate(density(v)), 2f) * saturate(envelope(v));
accumulator += MathF.Pow(Saturate(density(v)), 2f) * Saturate(envelope(v));
if (accumulator > .5f)
{
accumulator = 0;
@ -120,7 +118,7 @@ public static class WeightedSampleElimination
var domainSize = boundsMax[0] - boundsMin[0];
domainSize *= domainSize;
float sampleArea = domainSize / sampleCount;
return sqrt( sampleArea / ( 2 * sqrt(3) ) );
return MathF.Sqrt( sampleArea / ( 2 * MathF.Sqrt(3) ) );
}
// This is the method that performs weighted sample elimination.
@ -184,6 +182,11 @@ public static class WeightedSampleElimination
static float GetWeightLimitFraction( int inputSize, int outputSize, float beta, float gamma )
{
float ratio = (float) outputSize / inputSize;
return ( 1 - pow( ratio, gamma ) ) * beta;
return ( 1 - MathF.Pow( ratio, gamma ) ) * beta;
}
}
private static float Saturate(float value)
{
return value < 0 ? 0 : value > 1 ? 1 : value;
}
}