osu/osu.Game.Rulesets.Osu/Difficulty/Skills/Aim.cs
Samuel Cattini-Schultz 85d2b1232a Refactor to abstract out strain logic into StrainSkill class
While it is the case for the existing official Skills, Skill implementations shouldn't be required to conform to a strain based approach.
There are other valid approaches to calculating skill difficulty that can be supported by abstracting the strain logic into its own StrainSkill class.
2021-04-03 20:52:39 +11:00

66 lines
2.5 KiB
C#

// Copyright (c) ppy Pty Ltd <contact@ppy.sh>. Licensed under the MIT Licence.
// See the LICENCE file in the repository root for full licence text.
using System;
using osu.Game.Rulesets.Difficulty.Preprocessing;
using osu.Game.Rulesets.Difficulty.Skills;
using osu.Game.Rulesets.Mods;
using osu.Game.Rulesets.Osu.Difficulty.Preprocessing;
using osu.Game.Rulesets.Osu.Objects;
namespace osu.Game.Rulesets.Osu.Difficulty.Skills
{
/// <summary>
/// Represents the skill required to correctly aim at every object in the map with a uniform CircleSize and normalized distances.
/// </summary>
public class Aim : StrainSkill
{
private const double angle_bonus_begin = Math.PI / 3;
private const double timing_threshold = 107;
public Aim(Mod[] mods)
: base(mods)
{
}
protected override double SkillMultiplier => 26.25;
protected override double StrainDecayBase => 0.15;
protected override double StrainValueOf(DifficultyHitObject current)
{
if (current.BaseObject is Spinner)
return 0;
var osuCurrent = (OsuDifficultyHitObject)current;
double result = 0;
if (Previous.Count > 0)
{
var osuPrevious = (OsuDifficultyHitObject)Previous[0];
if (osuCurrent.Angle != null && osuCurrent.Angle.Value > angle_bonus_begin)
{
const double scale = 90;
var angleBonus = Math.Sqrt(
Math.Max(osuPrevious.JumpDistance - scale, 0)
* Math.Pow(Math.Sin(osuCurrent.Angle.Value - angle_bonus_begin), 2)
* Math.Max(osuCurrent.JumpDistance - scale, 0));
result = 1.5 * applyDiminishingExp(Math.Max(0, angleBonus)) / Math.Max(timing_threshold, osuPrevious.StrainTime);
}
}
double jumpDistanceExp = applyDiminishingExp(osuCurrent.JumpDistance);
double travelDistanceExp = applyDiminishingExp(osuCurrent.TravelDistance);
return Math.Max(
result + (jumpDistanceExp + travelDistanceExp + Math.Sqrt(travelDistanceExp * jumpDistanceExp)) / Math.Max(osuCurrent.StrainTime, timing_threshold),
(Math.Sqrt(travelDistanceExp * jumpDistanceExp) + jumpDistanceExp + travelDistanceExp) / osuCurrent.StrainTime
);
}
private double applyDiminishingExp(double val) => Math.Pow(val, 0.99);
}
}