70 lines
3.5 KiB
C#
70 lines
3.5 KiB
C#
using Stats.Config;
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using System;
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using static SharedLibraryCore.Database.Models.EFPenalty;
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namespace IW4MAdmin.Plugins.Stats.Cheat
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{
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public static class DistributionHelper
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{
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public static double CalculateMaxValue(this DistributionConfiguration config, PenaltyType penaltyType, int sampleSize)
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{
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switch (config.Type)
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{
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case DistributionConfiguration.DistributionType.Normal:
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break;
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case DistributionConfiguration.DistributionType.LogNormal:
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double deviationNumber = penaltyType == PenaltyType.Flag ? 3.0 : 4.0;
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double marginOfError = 1.644 / (config.StandardDeviation / Math.Sqrt(sampleSize));
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double maxValue = (config.StandardDeviation * deviationNumber) + marginOfError;
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return maxValue;
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}
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return double.MaxValue;
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}
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}
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class Thresholds
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{
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public static double HeadshotRatioThresholdLowSample(double deviations) => HeadshotRatioStandardDeviationLowSample * deviations + HeadshotRatioMean;
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public static double HeadshotRatioThresholdHighSample(double deviations) => HeadshotRatioStandardDeviationHighSample * deviations + HeadshotRatioMean;
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public const double HeadshotRatioStandardDeviationLowSample = 0.1769994181;
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public const double HeadshotRatioStandardDeviationHighSample = 0.03924263235;
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public const double HeadshotRatioMean = 0.222;
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public static double BoneRatioThresholdLowSample(double deviations) => BoneRatioStandardDeviationLowSample * deviations + BoneRatioMean;
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public static double BoneRatioThresholdHighSample(double deviations) => BoneRatioStandardDeviationHighSample * deviations + BoneRatioMean;
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public const double BoneRatioStandardDeviationLowSample = 0.1324612879;
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public const double BoneRatioStandardDeviationHighSample = 0.0515753935;
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public const double BoneRatioMean = 0.4593110238;
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public static double ChestAbdomenRatioThresholdLowSample(double deviations) => ChestAbdomenStandardDeviationLowSample * deviations + ChestAbdomenRatioMean;
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public static double ChestAbdomenRatioThresholdHighSample(double deviations) => ChestAbdomenStandardDeviationHighSample * deviations + ChestAbdomenRatioMean;
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public const double ChestAbdomenStandardDeviationLowSample = 0.2859234644;
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public const double ChestAbdomenStandardDeviationHighSample = 0.2195212861;
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public const double ChestAbdomenRatioMean = 0.4435;
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public const int LowSampleMinKills = 15;
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public const int MediumSampleMinKills = 30;
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public const int HighSampleMinKills = 100;
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public const double KillTimeThreshold = 0.2;
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public const int LowSampleMinKillsRecoil = 5;
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public const double SnapFlagValue = 6.12;
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public const double SnapBanValue = 9.67;
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public const double MaxStrainBan = 0.9;
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private const double _offsetMeanLog = -2.727273;
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private const double _offsetSdLog = 0.458325;
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public static double MaxOffset(int sampleSize) => Math.Exp(Math.Max(_offsetMeanLog + (_offsetMeanLog / Math.Sqrt(sampleSize)), _offsetMeanLog - (_offsetMeanLog / Math.Sqrt(sampleSize))) + 4 * (_offsetSdLog));
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public const double MaxStrainFlag = 0.36;
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public static double GetMarginOfError(int numberOfHits) => 1.6455 / Math.Sqrt(numberOfHits);
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public static double Lerp(double v1, double v2, double amount)
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{
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return v1 + (v2 - v1) * amount;
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}
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}
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}
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