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Code Issues Releases Wiki Activity

account for low acc FC deviation

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Natelytle
2022-11-24 19:09:30 -05:00
Unverified
parent 37c21cdd7c
commit 2ba163440a
1 changed files with 45 additions and 6 deletions
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osu.Game.Rulesets.Taiko/Difficulty/TaikoPerformanceCalculator.cs
+45 -6
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@@ -12,6 +12,9 @@ using osu.Game.Rulesets.Scoring;
using osu.Game.Rulesets.Taiko.Objects;
using osu.Game.Scoring;
using MathNet.Numerics;
using MathNet.Numerics.RootFinding;
using osu.Framework.Audio.Track;
using osu.Framework.Extensions.IEnumerableExtensions;
namespace osu.Game.Rulesets.Taiko.Difficulty
{
@@ -66,7 +69,7 @@ namespace osu.Game.Rulesets.Taiko.Difficulty
Accuracy = accuracyValue,
EffectiveMissCount = effectiveMissCount,
EstimatedUr = estimatedDeviation * 10,
Total = totalValue
Total = (double)estimatedDeviation * 10
};
}
@@ -118,20 +121,56 @@ namespace osu.Game.Rulesets.Taiko.Difficulty
if (totalHits == 0)
return null;
double greatProbability = 1 - (countOk + countMiss + 1.0) / (totalHits + 1.0);
// Create a new track to properly calculate the hit windows of 100s and 50s.
var track = new TrackVirtual(10000);
score.Mods.OfType<IApplicableToTrack>().ForEach(m => m.ApplyToTrack(track));
double clockRate = track.Rate;
double overallDifficulty = (50 - attributes.GreatHitWindow) / 3 * clockRate;
double goodHitWindow = 0;
if (overallDifficulty <= 5)
goodHitWindow = (120 - 8 * overallDifficulty) / clockRate;
if (overallDifficulty > 5)
goodHitWindow = 80 - 6 * (overallDifficulty - 5);
double root2 = Math.Sqrt(2);
if (greatProbability is <= 0 or >= 1)
double logLikelihoodGradient(double d)
{
return null;
if (d <= 0)
return 1;
double p300 = SpecialFunctions.Erf(attributes.GreatHitWindow / root2 * d);
double lnP300 = lnErfcApprox(attributes.GreatHitWindow / root2 * d);
double lnP100 = lnErfcApprox(goodHitWindow / root2 * d);
double t1 = countGreat * ((attributes.GreatHitWindow * Math.Exp(-Math.Pow(attributes.GreatHitWindow / root2 * d, 2))) / p300);
double t2a = Math.Exp(Math.Log(goodHitWindow * Math.Exp(-Math.Pow(goodHitWindow / root2 * d, 2))) - logDiff(lnP300, lnP100));
double t2b = Math.Exp(Math.Log(attributes.GreatHitWindow * Math.Exp(-Math.Pow(attributes.GreatHitWindow / root2 * d, 2))) - logDiff(lnP300, lnP100));
double t2 = (countOk + 1) * (t2a - t2b);
double t3 = countMiss * Math.Exp(Math.Log(goodHitWindow * Math.Exp(-Math.Pow(goodHitWindow / root2 * d, 2))) - lnP100);
return t1 + t2 - t3;
}
double deviation = attributes.GreatHitWindow / (Math.Sqrt(2) * SpecialFunctions.ErfInv(greatProbability));
double root = Brent.FindRootExpand(logLikelihoodGradient, 0.02, 0.3, expandFactor: 2);
return deviation;
return 1 / root;
}
private int totalHits => countGreat + countOk + countMeh + countMiss;
private int totalSuccessfulHits => countGreat + countOk + countMeh;
double lnErfcApprox(double x)
{
if (x <= 5)
return Math.Log(SpecialFunctions.Erfc(x));
return -Math.Pow(x, 2) - Math.Log(x) - Math.Log(Math.Sqrt(Math.PI));
}
double logDiff(double l1, double l2) => l1 + SpecialFunctions.Log1p(-Math.Exp(-(l1 - l2)));
}
}