2023-06-23 00:37:25 +08:00
// Copyright (c) ppy Pty Ltd <contact@ppy.sh>. Licensed under the MIT Licence.
2019-01-24 16:43:03 +08:00
// See the LICENCE file in the repository root for full licence text.
2018-04-13 17:19:50 +08:00
using System ;
using System.Collections.Generic ;
using System.Linq ;
2018-05-15 16:38:04 +08:00
using osu.Game.Rulesets.Difficulty ;
2024-08-05 21:08:30 +08:00
using osu.Game.Rulesets.Osu.Difficulty.Skills ;
2018-04-13 17:19:50 +08:00
using osu.Game.Rulesets.Osu.Mods ;
using osu.Game.Rulesets.Scoring ;
2018-11-28 15:12:57 +08:00
using osu.Game.Scoring ;
2018-04-13 17:19:50 +08:00
2018-05-17 15:58:22 +08:00
namespace osu.Game.Rulesets.Osu.Difficulty
2018-04-13 17:19:50 +08:00
{
2018-04-19 21:04:12 +08:00
public class OsuPerformanceCalculator : PerformanceCalculator
2018-04-13 17:19:50 +08:00
{
2024-09-24 18:28:15 +08:00
public const double PERFORMANCE_BASE_MULTIPLIER = 1.15 ; // This is being adjusted to keep the final pp value scaled around what it used to be when changing things.
2018-05-14 10:52:22 +08:00
2024-09-28 05:04:48 +08:00
private bool usingClassicSliderAccuracy ;
2018-05-14 10:52:22 +08:00
2018-04-13 17:19:50 +08:00
private double accuracy ;
private int scoreMaxCombo ;
2018-05-16 11:46:31 +08:00
private int countGreat ;
2020-09-29 16:16:55 +08:00
private int countOk ;
2018-05-16 11:46:31 +08:00
private int countMeh ;
2018-04-13 17:19:50 +08:00
private int countMiss ;
2024-10-21 17:38:03 +08:00
/// <summary>
2024-10-21 18:06:34 +08:00
/// Missed slider ticks that includes missed reverse arrows. Will only be correct on non-classic scores
2024-10-21 17:38:03 +08:00
/// </summary>
private int countSliderTickMiss ;
/// <summary>
2024-10-21 18:06:34 +08:00
/// Amount of missed slider tails that don't break combo. Will only be correct on non-classic scores
2024-10-21 17:38:03 +08:00
/// </summary>
2024-03-22 14:15:36 +08:00
private int countSliderEndsDropped ;
2018-04-13 17:19:50 +08:00
2024-10-21 17:38:03 +08:00
/// <summary>
/// Estimated total amount of combo breaks
/// </summary>
2022-01-05 19:36:07 +08:00
private double effectiveMissCount ;
2021-10-22 02:37:06 +08:00
2022-03-15 11:37:39 +08:00
public OsuPerformanceCalculator ( )
: base ( new OsuRuleset ( ) )
2018-04-13 17:19:50 +08:00
{
}
2022-03-14 13:25:26 +08:00
protected override PerformanceAttributes CreatePerformanceAttributes ( ScoreInfo score , DifficultyAttributes attributes )
2018-04-13 17:19:50 +08:00
{
2022-03-14 13:25:26 +08:00
var osuAttributes = ( OsuDifficultyAttributes ) attributes ;
2024-10-04 20:37:05 +08:00
usingClassicSliderAccuracy = score . Mods . OfType < OsuModClassic > ( ) . Any ( m = > m . NoSliderHeadAccuracy . Value ) ;
2024-09-28 05:11:12 +08:00
2022-03-14 13:25:26 +08:00
accuracy = score . Accuracy ;
scoreMaxCombo = score . MaxCombo ;
countGreat = score . Statistics . GetValueOrDefault ( HitResult . Great ) ;
countOk = score . Statistics . GetValueOrDefault ( HitResult . Ok ) ;
countMeh = score . Statistics . GetValueOrDefault ( HitResult . Meh ) ;
countMiss = score . Statistics . GetValueOrDefault ( HitResult . Miss ) ;
2024-10-21 18:06:34 +08:00
countSliderEndsDropped = osuAttributes . SliderCount - score . Statistics . GetValueOrDefault ( HitResult . SliderTailHit ) ;
countSliderTickMiss = score . Statistics . GetValueOrDefault ( HitResult . LargeTickMiss ) ;
2024-10-21 17:38:03 +08:00
if ( osuAttributes . SliderCount > 0 )
{
2024-10-21 18:06:34 +08:00
if ( usingClassicSliderAccuracy )
{
// Consider that full combo is maximum combo minus dropped slider tails since they don't contribute to combo but also don't break it
// In classic scores we can't know the amount of dropped sliders so we estimate to 10% of all sliders on the map
double fullComboThreshold = attributes . MaxCombo - 0.1 * osuAttributes . SliderCount ;
if ( scoreMaxCombo < fullComboThreshold )
effectiveMissCount = fullComboThreshold / Math . Max ( 1.0 , scoreMaxCombo ) ;
// In classic scores there can't be more misses than a sum of all non-perfect judgements
effectiveMissCount = Math . Min ( effectiveMissCount , totalImperfectHits ) ;
}
else
{
double fullComboThreshold = attributes . MaxCombo - countSliderEndsDropped ;
if ( scoreMaxCombo < fullComboThreshold )
effectiveMissCount = fullComboThreshold / Math . Max ( 1.0 , scoreMaxCombo ) ;
// Combine regular misses with tick misses since tick misses break combo as well
effectiveMissCount = Math . Min ( effectiveMissCount , countSliderTickMiss + countMiss ) ;
}
2024-10-13 06:34:04 +08:00
}
2024-10-21 17:38:03 +08:00
effectiveMissCount = Math . Max ( countMiss , effectiveMissCount ) ;
2018-04-13 17:19:50 +08:00
2022-07-20 20:54:49 +08:00
double multiplier = PERFORMANCE_BASE_MULTIPLIER ;
2018-04-13 17:19:50 +08:00
2022-03-14 13:25:26 +08:00
if ( score . Mods . Any ( m = > m is OsuModNoFail ) )
2021-10-22 02:37:06 +08:00
multiplier * = Math . Max ( 0.90 , 1.0 - 0.02 * effectiveMissCount ) ;
2018-04-13 17:19:50 +08:00
2022-03-14 13:25:26 +08:00
if ( score . Mods . Any ( m = > m is OsuModSpunOut ) & & totalHits > 0 )
multiplier * = 1.0 - Math . Pow ( ( double ) osuAttributes . SpinnerCount / totalHits , 0.85 ) ;
2018-04-13 17:19:50 +08:00
2022-03-14 13:25:26 +08:00
if ( score . Mods . Any ( h = > h is OsuModRelax ) )
2021-10-22 02:37:06 +08:00
{
2022-07-05 02:52:57 +08:00
// https://www.desmos.com/calculator/bc9eybdthb
2022-07-12 15:52:44 +08:00
// we use OD13.3 as maximum since it's the value at which great hitwidow becomes 0
// this is well beyond currently maximum achievable OD which is 12.17 (DTx2 + DA with OD11)
2022-07-05 02:49:45 +08:00
double okMultiplier = Math . Max ( 0.0 , osuAttributes . OverallDifficulty > 0.0 ? 1 - Math . Pow ( osuAttributes . OverallDifficulty / 13.33 , 1.8 ) : 1.0 ) ;
double mehMultiplier = Math . Max ( 0.0 , osuAttributes . OverallDifficulty > 0.0 ? 1 - Math . Pow ( osuAttributes . OverallDifficulty / 13.33 , 5 ) : 1.0 ) ;
2021-11-07 21:50:00 +08:00
// As we're adding Oks and Mehs to an approximated number of combo breaks the result can be higher than total hits in specific scenarios (which breaks some calculations) so we need to clamp it.
2022-07-05 01:53:20 +08:00
effectiveMissCount = Math . Min ( effectiveMissCount + countOk * okMultiplier + countMeh * mehMultiplier , totalHits ) ;
2021-10-22 02:37:06 +08:00
}
2022-03-14 13:25:26 +08:00
double aimValue = computeAimValue ( score , osuAttributes ) ;
double speedValue = computeSpeedValue ( score , osuAttributes ) ;
double accuracyValue = computeAccuracyValue ( score , osuAttributes ) ;
double flashlightValue = computeFlashlightValue ( score , osuAttributes ) ;
2018-04-13 17:19:50 +08:00
double totalValue =
Math . Pow (
2019-11-26 18:34:23 +08:00
Math . Pow ( aimValue , 1.1 ) +
Math . Pow ( speedValue , 1.1 ) +
2021-08-09 06:31:28 +08:00
Math . Pow ( accuracyValue , 1.1 ) +
2021-08-08 21:56:03 +08:00
Math . Pow ( flashlightValue , 1.1 ) , 1.0 / 1.1
2018-04-13 17:19:50 +08:00
) * multiplier ;
2021-12-21 18:08:31 +08:00
return new OsuPerformanceAttributes
2018-04-13 17:19:50 +08:00
{
2021-12-21 18:08:31 +08:00
Aim = aimValue ,
Speed = speedValue ,
Accuracy = accuracyValue ,
Flashlight = flashlightValue ,
EffectiveMissCount = effectiveMissCount ,
Total = totalValue
} ;
2018-04-13 17:19:50 +08:00
}
2022-03-14 13:25:26 +08:00
private double computeAimValue ( ScoreInfo score , OsuDifficultyAttributes attributes )
2018-04-13 17:19:50 +08:00
{
2024-08-05 21:08:30 +08:00
double aimValue = OsuStrainSkill . DifficultyToPerformance ( attributes . AimDifficulty ) ;
2018-04-13 17:19:50 +08:00
2019-11-26 18:34:23 +08:00
double lengthBonus = 0.95 + 0.4 * Math . Min ( 1.0 , totalHits / 2000.0 ) +
( totalHits > 2000 ? Math . Log10 ( totalHits / 2000.0 ) * 0.5 : 0.0 ) ;
2018-04-13 17:19:50 +08:00
aimValue * = lengthBonus ;
2021-10-22 02:37:06 +08:00
if ( effectiveMissCount > 0 )
2022-03-18 06:08:56 +08:00
aimValue * = calculateMissPenalty ( effectiveMissCount , attributes . AimDifficultStrainCount ) ;
2018-04-13 17:19:50 +08:00
2020-12-07 08:06:36 +08:00
double approachRateFactor = 0.0 ;
2022-03-14 13:25:26 +08:00
if ( attributes . ApproachRate > 10.33 )
approachRateFactor = 0.3 * ( attributes . ApproachRate - 10.33 ) ;
else if ( attributes . ApproachRate < 8.0 )
2022-07-12 15:52:44 +08:00
approachRateFactor = 0.05 * ( 8.0 - attributes . ApproachRate ) ;
2018-04-13 17:19:50 +08:00
2022-07-05 00:59:30 +08:00
if ( score . Mods . Any ( h = > h is OsuModRelax ) )
approachRateFactor = 0.0 ;
2018-04-13 17:19:50 +08:00
2021-11-04 00:39:05 +08:00
aimValue * = 1.0 + approachRateFactor * lengthBonus ; // Buff for longer maps with high AR.
2018-04-13 17:19:50 +08:00
2022-03-14 13:25:26 +08:00
if ( score . Mods . Any ( m = > m is OsuModBlinds ) )
aimValue * = 1.3 + ( totalHits * ( 0.0016 / ( 1 + 2 * effectiveMissCount ) ) * Math . Pow ( accuracy , 16 ) ) * ( 1 - 0.003 * attributes . DrainRate * attributes . DrainRate ) ;
2024-04-13 18:59:09 +08:00
else if ( score . Mods . Any ( m = > m is OsuModHidden | | m is OsuModTraceable ) )
2021-10-22 02:37:06 +08:00
{
// We want to give more reward for lower AR when it comes to aim and HD. This nerfs high AR and buffs lower AR.
2022-03-14 13:25:26 +08:00
aimValue * = 1.0 + 0.04 * ( 12.0 - attributes . ApproachRate ) ;
2021-10-22 02:37:06 +08:00
}
2018-04-13 17:19:50 +08:00
2021-11-11 10:49:24 +08:00
// We assume 15% of sliders in a map are difficult since there's no way to tell from the performance calculator.
2022-03-14 13:25:26 +08:00
double estimateDifficultSliders = attributes . SliderCount * 0.15 ;
2021-11-11 08:42:06 +08:00
2022-03-14 13:25:26 +08:00
if ( attributes . SliderCount > 0 )
2021-11-11 22:37:50 +08:00
{
2024-10-21 17:38:03 +08:00
double estimateImproperlyFollowedDifficultSliders ;
if ( usingClassicSliderAccuracy )
{
// When the score is considered classic (regardless if it was made on old client or not) we consider all missing combo to be dropped difficult sliders
int maximumPossibleDroppedSliders = totalImperfectHits ;
estimateImproperlyFollowedDifficultSliders = Math . Clamp ( Math . Min ( maximumPossibleDroppedSliders , attributes . MaxCombo - scoreMaxCombo ) , 0 , estimateDifficultSliders ) ;
}
else
{
// We add tick misses here since they too mean that the player didn't follow the slider properly
// We however aren't adding misses here because missing slider heads has a harsh penalty by itself and doesn't mean that the rest of the slider wasn't followed properly
estimateImproperlyFollowedDifficultSliders = Math . Min ( countSliderEndsDropped + countSliderTickMiss , estimateDifficultSliders ) ;
}
double sliderNerfFactor = ( 1 - attributes . SliderFactor ) * Math . Pow ( 1 - estimateImproperlyFollowedDifficultSliders / estimateDifficultSliders , 3 ) + attributes . SliderFactor ;
2021-11-11 22:37:50 +08:00
aimValue * = sliderNerfFactor ;
}
2021-11-10 08:59:28 +08:00
2021-10-22 01:18:24 +08:00
aimValue * = accuracy ;
2021-12-21 19:03:24 +08:00
// It is important to consider accuracy difficulty when scaling with accuracy.
2022-03-14 13:25:26 +08:00
aimValue * = 0.98 + Math . Pow ( attributes . OverallDifficulty , 2 ) / 2500 ;
2018-04-13 17:19:50 +08:00
return aimValue ;
}
2022-03-14 13:25:26 +08:00
private double computeSpeedValue ( ScoreInfo score , OsuDifficultyAttributes attributes )
2018-04-13 17:19:50 +08:00
{
2022-07-05 00:59:30 +08:00
if ( score . Mods . Any ( h = > h is OsuModRelax ) )
return 0.0 ;
2024-08-05 21:08:30 +08:00
double speedValue = OsuStrainSkill . DifficultyToPerformance ( attributes . SpeedDifficulty ) ;
2018-04-13 17:19:50 +08:00
2020-12-07 08:06:36 +08:00
double lengthBonus = 0.95 + 0.4 * Math . Min ( 1.0 , totalHits / 2000.0 ) +
( totalHits > 2000 ? Math . Log10 ( totalHits / 2000.0 ) * 0.5 : 0.0 ) ;
speedValue * = lengthBonus ;
2018-04-13 17:19:50 +08:00
2021-10-22 02:37:06 +08:00
if ( effectiveMissCount > 0 )
2022-03-18 06:08:56 +08:00
speedValue * = calculateMissPenalty ( effectiveMissCount , attributes . SpeedDifficultStrainCount ) ;
2019-01-09 16:47:39 +08:00
2020-12-07 08:06:36 +08:00
double approachRateFactor = 0.0 ;
2022-03-14 13:25:26 +08:00
if ( attributes . ApproachRate > 10.33 )
approachRateFactor = 0.3 * ( attributes . ApproachRate - 10.33 ) ;
2019-01-09 16:42:48 +08:00
2021-11-04 00:39:05 +08:00
speedValue * = 1.0 + approachRateFactor * lengthBonus ; // Buff for longer maps with high AR.
2018-04-13 17:19:50 +08:00
2022-03-14 13:25:26 +08:00
if ( score . Mods . Any ( m = > m is OsuModBlinds ) )
2021-10-22 02:37:06 +08:00
{
// Increasing the speed value by object count for Blinds isn't ideal, so the minimum buff is given.
speedValue * = 1.12 ;
}
2024-04-13 18:59:09 +08:00
else if ( score . Mods . Any ( m = > m is OsuModHidden | | m is OsuModTraceable ) )
2021-10-22 02:37:06 +08:00
{
// We want to give more reward for lower AR when it comes to aim and HD. This nerfs high AR and buffs lower AR.
2022-03-14 13:25:26 +08:00
speedValue * = 1.0 + 0.04 * ( 12.0 - attributes . ApproachRate ) ;
2021-10-22 02:37:06 +08:00
}
2018-05-12 14:46:25 +08:00
2021-10-11 09:12:57 +08:00
// Calculate accuracy assuming the worst case scenario
2022-06-20 10:15:35 +08:00
double relevantTotalDiff = totalHits - attributes . SpeedNoteCount ;
2021-10-11 09:12:57 +08:00
double relevantCountGreat = Math . Max ( 0 , countGreat - relevantTotalDiff ) ;
double relevantCountOk = Math . Max ( 0 , countOk - Math . Max ( 0 , relevantTotalDiff - countGreat ) ) ;
double relevantCountMeh = Math . Max ( 0 , countMeh - Math . Max ( 0 , relevantTotalDiff - countGreat - countOk ) ) ;
2024-05-25 05:00:42 +08:00
double relevantAccuracy = attributes . SpeedNoteCount = = 0 ? 0 : ( relevantCountGreat * 6.0 + relevantCountOk * 2.0 + relevantCountMeh ) / ( attributes . SpeedNoteCount * 6.0 ) ;
2021-10-11 09:12:57 +08:00
2021-08-12 07:54:25 +08:00
// Scale the speed value with accuracy and OD.
2024-10-02 22:47:22 +08:00
speedValue * = ( 0.95 + Math . Pow ( attributes . OverallDifficulty , 2 ) / 750 ) * Math . Pow ( ( accuracy + relevantAccuracy ) / 2.0 , ( 14.5 - attributes . OverallDifficulty ) / 2 ) ;
2021-10-22 02:37:06 +08:00
2020-12-10 10:07:52 +08:00
// Scale the speed value with # of 50s to punish doubletapping.
2022-07-12 22:57:00 +08:00
speedValue * = Math . Pow ( 0.99 , countMeh < totalHits / 500.0 ? 0 : countMeh - totalHits / 500.0 ) ;
2018-04-13 17:19:50 +08:00
return speedValue ;
}
2022-03-14 13:25:26 +08:00
private double computeAccuracyValue ( ScoreInfo score , OsuDifficultyAttributes attributes )
2018-04-13 17:19:50 +08:00
{
2022-03-14 13:25:26 +08:00
if ( score . Mods . Any ( h = > h is OsuModRelax ) )
2021-10-22 02:37:06 +08:00
return 0.0 ;
2021-08-12 07:54:25 +08:00
// This percentage only considers HitCircles of any value - in this part of the calculation we focus on hitting the timing hit window.
2018-04-13 17:19:50 +08:00
double betterAccuracyPercentage ;
2022-03-14 13:25:26 +08:00
int amountHitObjectsWithAccuracy = attributes . HitCircleCount ;
2024-09-28 05:04:48 +08:00
if ( ! usingClassicSliderAccuracy )
2024-02-06 21:08:17 +08:00
amountHitObjectsWithAccuracy + = attributes . SliderCount ;
2018-04-13 17:19:50 +08:00
if ( amountHitObjectsWithAccuracy > 0 )
2020-09-29 16:16:55 +08:00
betterAccuracyPercentage = ( ( countGreat - ( totalHits - amountHitObjectsWithAccuracy ) ) * 6 + countOk * 2 + countMeh ) / ( double ) ( amountHitObjectsWithAccuracy * 6 ) ;
2018-04-13 17:19:50 +08:00
else
betterAccuracyPercentage = 0 ;
2021-08-12 07:54:25 +08:00
// It is possible to reach a negative accuracy with this formula. Cap it at zero - zero points.
2018-04-13 17:19:50 +08:00
if ( betterAccuracyPercentage < 0 )
betterAccuracyPercentage = 0 ;
// Lots of arbitrary values from testing.
2021-08-12 07:54:25 +08:00
// Considering to use derivation from perfect accuracy in a probabilistic manner - assume normal distribution.
2022-03-14 13:25:26 +08:00
double accuracyValue = Math . Pow ( 1.52163 , attributes . OverallDifficulty ) * Math . Pow ( betterAccuracyPercentage , 24 ) * 2.83 ;
2018-04-13 17:19:50 +08:00
2021-08-12 07:54:25 +08:00
// Bonus for many hitcircles - it's harder to keep good accuracy up for longer.
2019-11-26 18:34:23 +08:00
accuracyValue * = Math . Min ( 1.15 , Math . Pow ( amountHitObjectsWithAccuracy / 1000.0 , 0.3 ) ) ;
2018-04-13 17:19:50 +08:00
2021-10-22 02:37:06 +08:00
// Increasing the accuracy value by object count for Blinds isn't ideal, so the minimum buff is given.
2022-03-14 13:25:26 +08:00
if ( score . Mods . Any ( m = > m is OsuModBlinds ) )
2021-10-22 02:37:06 +08:00
accuracyValue * = 1.14 ;
2024-04-13 18:59:09 +08:00
else if ( score . Mods . Any ( m = > m is OsuModHidden | | m is OsuModTraceable ) )
2019-11-26 18:34:23 +08:00
accuracyValue * = 1.08 ;
2021-10-22 02:37:06 +08:00
2022-03-14 13:25:26 +08:00
if ( score . Mods . Any ( m = > m is OsuModFlashlight ) )
2019-11-26 18:34:23 +08:00
accuracyValue * = 1.02 ;
2018-04-13 17:19:50 +08:00
return accuracyValue ;
}
2022-03-14 13:25:26 +08:00
private double computeFlashlightValue ( ScoreInfo score , OsuDifficultyAttributes attributes )
2021-08-08 21:56:03 +08:00
{
2022-03-14 13:25:26 +08:00
if ( ! score . Mods . Any ( h = > h is OsuModFlashlight ) )
2021-09-13 15:39:05 +08:00
return 0.0 ;
2021-08-08 21:56:03 +08:00
2024-08-05 21:08:30 +08:00
double flashlightValue = Flashlight . DifficultyToPerformance ( attributes . FlashlightDifficulty ) ;
2021-08-09 06:31:28 +08:00
2021-09-13 15:39:05 +08:00
// Penalize misses by assessing # of misses relative to the total # of objects. Default a 3% reduction for any # of misses.
2021-10-22 02:37:06 +08:00
if ( effectiveMissCount > 0 )
2022-01-05 20:07:02 +08:00
flashlightValue * = 0.97 * Math . Pow ( 1 - Math . Pow ( effectiveMissCount / totalHits , 0.775 ) , Math . Pow ( effectiveMissCount , . 875 ) ) ;
2021-08-08 21:56:03 +08:00
2022-03-14 13:25:26 +08:00
flashlightValue * = getComboScalingFactor ( attributes ) ;
2021-08-08 21:56:03 +08:00
2021-09-13 15:39:05 +08:00
// Account for shorter maps having a higher ratio of 0 combo/100 combo flashlight radius.
flashlightValue * = 0.7 + 0.1 * Math . Min ( 1.0 , totalHits / 200.0 ) +
( totalHits > 200 ? 0.2 * Math . Min ( 1.0 , ( totalHits - 200 ) / 200.0 ) : 0.0 ) ;
2021-08-08 21:56:03 +08:00
2021-09-13 15:39:05 +08:00
// Scale the flashlight value with accuracy _slightly_.
flashlightValue * = 0.5 + accuracy / 2.0 ;
// It is important to also consider accuracy difficulty when doing that.
2022-03-14 13:25:26 +08:00
flashlightValue * = 0.98 + Math . Pow ( attributes . OverallDifficulty , 2 ) / 2500 ;
2021-08-08 21:56:03 +08:00
return flashlightValue ;
}
2022-01-12 22:38:53 +08:00
// Miss penalty assumes that a player will miss on the hardest parts of a map,
// so we use the amount of relatively difficult sections to adjust miss penalty
// to make it more punishing on maps with lower amount of hard sections.
2024-05-21 17:03:53 +08:00
private double calculateMissPenalty ( double missCount , double difficultStrainCount ) = > 0.96 / ( ( missCount / ( 4 * Math . Pow ( Math . Log ( difficultStrainCount ) , 0.94 ) ) ) + 1 ) ;
2022-03-14 13:25:26 +08:00
private double getComboScalingFactor ( OsuDifficultyAttributes attributes ) = > attributes . MaxCombo < = 0 ? 1.0 : Math . Min ( Math . Pow ( scoreMaxCombo , 0.8 ) / Math . Pow ( attributes . MaxCombo , 0.8 ) , 1.0 ) ;
2020-09-29 16:16:55 +08:00
private int totalHits = > countGreat + countOk + countMeh + countMiss ;
2024-10-21 17:38:03 +08:00
private int totalImperfectHits = > countOk + countMeh + countMiss ;
2018-04-13 17:19:50 +08:00
}
}