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1d3e682c5e
- Part of https://github.com/ppy/osu/issues/37818 - Continued from https://github.com/ppy/osu/pull/37355#issuecomment-4449248107 ## Overview This PR introduces an alternative API, `ScoreMultiplierCalculator`, to be used going forward for calculating mod multipliers. The reason for introducing this new API is that it has been requested that: - For any two given mods, it should be possible to have the combined mod multipliers of them in combination be *different* than the product of the individual mods' multipliers in isolation, i.e. $mult( \\{ A, B \\} ) \neq mult( \\{ A \\} ) \cdot mult( \\{ B \\} )$. - For an individual mod, it should be possible to have the mod multipliers depend on a quantity that is *not* the presence of another mod or the direct value of a setting on the mod. This capability is being demonstrated in this PR via the `osu.Game.Tests.Rulesets.Scoring.ScoreMultiplierCalculatorTest` test fixture. ## Parity with `Mod.ScoreMultiplier` This PR contains a `ScoreMultiplierCalculator` implementation for each of the built-in four rulesets. The abstract `osu.Game.Tests.Rulesets.RulesetScoreMultiplierTest` and its four derived ruleset-specific test fixtures were written to ensure that the new implementations do not diverge from the current state of affairs. `Mod.ScoreMultiplier` is not removed in this diff to keep size low. It will be removed as a follow-up. ## Performance This PR contains a benchmark comparing the current implementation via `Mod.ScoreMultiplier` and the new `ScoreMultiplierCalculator` API. Results below. <details> | Method | Times | Mods | Mean | Error | StdDev | Gen0 | Allocated | |---------------------- |------ |--------------------- |--------------:|------------:|------------:|--------:|----------:| | ViaModScoreMultiplier | 1 | mods (...)tings [27] | 121.171 ns | 1.5284 ns | 1.4297 ns | 0.0782 | 656 B | | ViaCalculator | 1 | mods (...)tings [27] | 248.509 ns | 1.9313 ns | 1.6127 ns | 0.1364 | 1144 B | | ViaModScoreMultiplier | 1 | multiple mods | 128.357 ns | 0.4282 ns | 0.4006 ns | 0.0782 | 656 B | | ViaCalculator | 1 | multiple mods | 252.953 ns | 1.2860 ns | 1.2029 ns | 0.1364 | 1144 B | | ViaModScoreMultiplier | 1 | no mods | 3.007 ns | 0.0345 ns | 0.0288 ns | - | - | | ViaCalculator | 1 | no mods | 14.802 ns | 0.0616 ns | 0.0576 ns | 0.0134 | 112 B | | ViaModScoreMultiplier | 1 | single mod | 40.271 ns | 0.1238 ns | 0.1098 ns | 0.0258 | 216 B | | ViaCalculator | 1 | single mod | 113.033 ns | 0.3140 ns | 0.2937 ns | 0.0842 | 704 B | | ViaModScoreMultiplier | 1 | single mod 2 | 3.653 ns | 0.0384 ns | 0.0359 ns | 0.0038 | 32 B | | ViaCalculator | 1 | single mod 2 | 78.172 ns | 0.0680 ns | 0.0603 ns | 0.0621 | 520 B | | ViaModScoreMultiplier | 10 | mods (...)tings [27] | 1,169.609 ns | 4.3058 ns | 4.0276 ns | 0.7839 | 6560 B | | ViaCalculator | 10 | mods (...)tings [27] | 2,575.264 ns | 21.2705 ns | 19.8964 ns | 1.3657 | 11440 B | | ViaModScoreMultiplier | 10 | multiple mods | 1,171.775 ns | 6.2332 ns | 5.2050 ns | 0.7839 | 6560 B | | ViaCalculator | 10 | multiple mods | 2,579.593 ns | 22.1010 ns | 20.6733 ns | 1.3657 | 11440 B | | ViaModScoreMultiplier | 10 | no mods | 35.943 ns | 0.1665 ns | 0.1476 ns | - | - | | ViaCalculator | 10 | no mods | 154.980 ns | 0.2381 ns | 0.1988 ns | 0.1338 | 1120 B | | ViaModScoreMultiplier | 10 | single mod | 404.185 ns | 1.3190 ns | 1.2338 ns | 0.2580 | 2160 B | | ViaCalculator | 10 | single mod | 1,167.279 ns | 6.1641 ns | 5.7659 ns | 0.8411 | 7040 B | | ViaModScoreMultiplier | 10 | single mod 2 | 42.128 ns | 0.2878 ns | 0.2692 ns | 0.0382 | 320 B | | ViaCalculator | 10 | single mod 2 | 775.435 ns | 2.3318 ns | 2.1811 ns | 0.6208 | 5200 B | | ViaModScoreMultiplier | 100 | mods (...)tings [27] | 11,623.346 ns | 51.7174 ns | 43.1863 ns | 7.8430 | 65600 B | | ViaCalculator | 100 | mods (...)tings [27] | 25,252.987 ns | 44.4352 ns | 39.3906 ns | 13.6719 | 114400 B | | ViaModScoreMultiplier | 100 | multiple mods | 11,928.536 ns | 35.2079 ns | 32.9334 ns | 7.8430 | 65600 B | | ViaCalculator | 100 | multiple mods | 25,399.378 ns | 152.4597 ns | 127.3108 ns | 13.6719 | 114400 B | | ViaModScoreMultiplier | 100 | no mods | 328.158 ns | 0.5827 ns | 0.5165 ns | - | - | | ViaCalculator | 100 | no mods | 1,517.485 ns | 10.2304 ns | 9.5695 ns | 1.3390 | 11200 B | | ViaModScoreMultiplier | 100 | single mod | 3,986.251 ns | 24.2523 ns | 21.4991 ns | 2.5787 | 21600 B | | ViaCalculator | 100 | single mod | 11,479.514 ns | 23.3738 ns | 20.7203 ns | 8.4076 | 70400 B | | ViaModScoreMultiplier | 100 | single mod 2 | 385.679 ns | 3.5190 ns | 3.2917 ns | 0.3824 | 3200 B | | ViaCalculator | 100 | single mod 2 | 7,658.646 ns | 21.8274 ns | 19.3494 ns | 6.2103 | 52000 B | </details> While the calculator is obviously slower, in my view it is not egregiously so. The main overheads both time- and memory-wise are collection allocations for the dictionary and the set which I consider to be directly caused by the requested additional complexity and as such I don't really consider them eliminable. I have tried and applied some micro-optimisations (e2469ce338,cb33abec17), albeit with negligible effect. I have also tried to key the mods by `Acronym` instead of by `Type` and the difference was basically nil. <details> <summary>patch for keying by acronym</summary> ```diff diff --git a/osu.Game/Rulesets/Scoring/ScoreMultiplierCalculator.cs b/osu.Game/Rulesets/Scoring/ScoreMultiplierCalculator.cs index 772f9d178b..7f5907cbda 100644 --- a/osu.Game/Rulesets/Scoring/ScoreMultiplierCalculator.cs +++ b/osu.Game/Rulesets/Scoring/ScoreMultiplierCalculator.cs @@ -13,26 +13,26 @@ namespace osu.Game.Rulesets.Scoring /// </summary> public class ScoreMultiplierCalculator { - private static readonly List<(Type[] mods, Func<Mod[], double> multiplier)> combination_multipliers = []; - private static readonly Dictionary<Type, Func<Mod, ScoreMultiplierCalculator, double>> single_multipliers_with_context = []; - private static readonly Dictionary<Type, Func<Mod, double>> single_multipliers = []; + private static readonly List<(string[] modAcronyms, Func<Mod[], double> multiplier)> combination_multipliers = []; + private static readonly Dictionary<string, Func<Mod, ScoreMultiplierCalculator, double>> single_multipliers_with_context = []; + private static readonly Dictionary<string, Func<Mod, double>> single_multipliers = []; /// <summary> /// Defines a flat, setting-independent score multiplier for the given <typeparamref name="TMod"/>. /// </summary> public static void Single<TMod>(double hasMultiplier) - where TMod : Mod + where TMod : Mod, new() { - single_multipliers[typeof(TMod)] = _ => hasMultiplier; + single_multipliers[new TMod().Acronym] = _ => hasMultiplier; } /// <summary> /// Defines a setting-dependent score multiplier for the given <typeparamref name="TMod"/>. /// </summary> public static void Single<TMod>(Func<TMod, double> hasMultiplier) - where TMod : Mod + where TMod : Mod, new() { - single_multipliers[typeof(TMod)] = mod => hasMultiplier.Invoke((TMod)mod); + single_multipliers[new TMod().Acronym] = mod => hasMultiplier.Invoke((TMod)mod); } /// <summary> @@ -40,20 +40,20 @@ public static void Single<TMod>(Func<TMod, double> hasMultiplier) /// The multiplier calculation is given additional context to calculate the multiplier via the <typeparamref name="TContext"/> type instance. /// </summary> public static void Single<TMod, TContext>(Func<TMod, TContext, double> hasMultiplier) - where TMod : Mod + where TMod : Mod, new() where TContext : ScoreMultiplierCalculator { - single_multipliers_with_context[typeof(TMod)] = (mod, context) => hasMultiplier.Invoke((TMod)mod, (TContext)context); + single_multipliers_with_context[new TMod().Acronym] = (mod, context) => hasMultiplier.Invoke((TMod)mod, (TContext)context); } /// <summary> /// Defines a score multiplier specific to when both <typeparamref name="T1"/> and <typeparamref name="T2"/> mods are present. /// </summary> public static void Combination<T1, T2>(Func<T1, T2, double> hasMultiplier) - where T1 : Mod - where T2 : Mod + where T1 : Mod, new() + where T2 : Mod, new() { - combination_multipliers.Add(([typeof(T1), typeof(T2)], mods => hasMultiplier((T1)mods[0], (T2)mods[1]))); + combination_multipliers.Add(([new T1().Acronym, new T2().Acronym], mods => hasMultiplier((T1)mods[0], (T2)mods[1]))); } /// <summary> @@ -61,7 +61,7 @@ public static void Combination<T1, T2>(Func<T1, T2, double> hasMultiplier) /// </summary> public double CalculateFor(IEnumerable<Mod> mods) { - var allModsByType = mods.ToDictionary(m => m.GetType()); + var allModsByType = mods.ToDictionary(m => m.Acronym); if (allModsByType.Count == 0) return 1; @@ -83,7 +83,7 @@ public double CalculateFor(IEnumerable<Mod> mods) } } - foreach (var modType in remainingModTypes) + foreach (string modType in remainingModTypes) { if (single_multipliers.TryGetValue(modType, out var multiplier)) result *= multiplier(allModsByType[modType]); ``` </details> One particular parallel thread that may warrant follow-up is that `Mod.UsesDefaultConfiguration` is disproportionately expensive due to calling into regexes via Humanizer internals. <img width="1517" height="517" alt="Screenshot_2026-05-19_at_10 58 30" src="https://github.com/user-attachments/assets/68309a8c-74e7-4f96-8ef9-62868eeca337" />
89 lines
2.8 KiB
C#
89 lines
2.8 KiB
C#
// Copyright (c) ppy Pty Ltd <contact@ppy.sh>. Licensed under the MIT Licence.
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// See the LICENCE file in the repository root for full licence text.
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using System.Collections.Generic;
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using BenchmarkDotNet.Attributes;
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using NUnit.Framework;
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using osu.Game.Rulesets.Mods;
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using osu.Game.Rulesets.Osu;
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using osu.Game.Rulesets.Osu.Mods;
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using osu.Game.Rulesets.Scoring;
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namespace osu.Game.Benchmarks
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{
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public class BenchmarkScoreMultiplierCalculator : BenchmarkTest
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{
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private ScoreMultiplierCalculator calculator = null!;
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[Params(1, 10, 100)]
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public int Times { get; set; }
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public record ModTestCase(string Description, IEnumerable<Mod> Mods)
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{
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public override string ToString() => Description;
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}
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public static IEnumerable<ModTestCase> ValuesForMods =>
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[
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new ModTestCase("no mods", []),
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new ModTestCase("single mod", [new OsuModHardRock()]),
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new ModTestCase("single mod 2", [new OsuModEasy()]),
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new ModTestCase("multiple mods", [new OsuModHidden(), new OsuModHardRock(), new OsuModDoubleTime()]),
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new ModTestCase("mods with adjusted settings", [
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new OsuModDoubleTime { SpeedChange = { Value = 2 } },
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new OsuModHidden { OnlyFadeApproachCircles = { Value = true } },
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new OsuModHardRock()
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]),
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];
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[ParamsSource(nameof(ValuesForMods))]
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public ModTestCase Mods { get; set; } = null!;
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public override void SetUp()
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{
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base.SetUp();
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calculator = new OsuRuleset().CreateScoreMultiplierCalculator();
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}
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[Benchmark]
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public double ViaModScoreMultiplier() => viaModScoreMultiplier(Times, Mods);
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[Test]
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public void ViaModScoreMultiplier([Values(100)] int times, [ValueSource(nameof(ValuesForMods))] ModTestCase mods)
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=> viaModScoreMultiplier(times, mods);
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private double viaModScoreMultiplier(int times, ModTestCase mods)
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{
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double scoreMultiplier = 1;
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for (int i = 0; i < times; ++i)
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{
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scoreMultiplier = 1;
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foreach (var mod in mods.Mods)
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scoreMultiplier *= mod.ScoreMultiplier;
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}
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return scoreMultiplier;
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}
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[Benchmark]
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public double ViaCalculator()
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=> viaCalculator(Times, Mods);
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[Test]
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public void ViaCalculator([Values(100)] int times, [ValueSource(nameof(ValuesForMods))] ModTestCase mods)
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=> viaCalculator(times, mods);
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private double viaCalculator(int times, ModTestCase mods)
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{
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double scoreMultiplier = 1;
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for (int i = 0; i < times; ++i)
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scoreMultiplier = calculator.CalculateFor(mods.Mods);
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return scoreMultiplier;
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}
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}
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}
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