return DifficultyAttributes instead of StarResult

This commit is contained in:
MaxOhn
2021-11-03 18:00:29 +01:00
parent 5780559b70
commit 97ba2db7d6
12 changed files with 292 additions and 169 deletions
+1
View File
@@ -2,6 +2,7 @@
- added internal binary crate `pp-gen` to calculate difficulty & pp values via `PerformanceCalculator.dll`
- [BREAKING] Instead of returning `PpResult`, performance calculations now return `PerformanceAttributes` depending on the mode.
- [BREAKING] Instead of returning `StarResult`, difficulty calculations now return `DifficultyAttributes` depending on the mode.
- osu: Updated up to commit [6944151486e677bfd11f2390163aca9161defbbf](https://github.com/ppy/osu/commit/6944151486e677bfd11f2390163aca9161defbbf) (2021-10-27)
# v0.2.3
+9 -7
View File
@@ -15,7 +15,7 @@ use slider_state::SliderState;
use crate::{
curve::Curve,
parse::{HitObjectKind, Pos2},
Beatmap, Mods, StarResult, Strains,
Beatmap, Mods, Strains,
};
const SECTION_LENGTH: f32 = 750.0;
@@ -30,9 +30,13 @@ const LEGACY_LAST_TICK_OFFSET: f32 = 36.0;
///
/// In case of a partial play, e.g. a fail, one can specify the amount of passed objects.
// Slider parsing based on https://github.com/osufx/catch-the-pp
pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> StarResult {
pub fn stars(
map: &Beatmap,
mods: impl Mods,
passed_objects: Option<usize>,
) -> DifficultyAttributes {
if map.hit_objects.len() < 2 {
return StarResult::Fruits(DifficultyAttributes::default());
return DifficultyAttributes::default();
}
let take = passed_objects.unwrap_or(usize::MAX);
@@ -255,16 +259,14 @@ pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> S
let stars = movement.difficulty_value().sqrt() * STAR_SCALING_FACTOR;
let attributes = DifficultyAttributes {
DifficultyAttributes {
stars,
ar: attributes.ar,
n_fruits: fruits,
n_droplets: droplets,
n_tiny_droplets: tiny_droplets,
max_combo: fruits + droplets,
};
StarResult::Fruits(attributes)
}
}
/// Essentially the same as the `stars` function but instead of
+59 -31
View File
@@ -186,7 +186,7 @@ impl<'m> FruitsPP<'m> {
self
}
fn assert_hitresults(&mut self, attributes: &DifficultyAttributes) {
fn assert_hitresults(self, attributes: DifficultyAttributes) -> FruitsPPInner {
let correct_combo_hits = self
.n_fruits
.and_then(|f| self.n_droplets.map(|d| f + d + self.n_misses))
@@ -232,25 +232,56 @@ impl<'m> FruitsPP<'m> {
.saturating_sub(n_tiny_droplets)
.saturating_sub(n_tiny_droplet_misses);
self.n_fruits.replace(n_fruits);
self.n_droplets.replace(n_droplets);
self.n_tiny_droplets.replace(n_tiny_droplets);
self.n_tiny_droplet_misses.replace(n_tiny_droplet_misses);
return FruitsPPInner {
attributes,
mods: self.mods,
combo: self.combo,
n_fruits,
n_droplets,
n_tiny_droplets,
n_tiny_droplet_misses,
n_misses: self.n_misses,
};
}
FruitsPPInner {
attributes,
mods: self.mods,
combo: self.combo,
n_fruits: self.n_fruits.unwrap_or(0),
n_droplets: self.n_droplets.unwrap_or(0),
n_tiny_droplets: self.n_tiny_droplets.unwrap_or(0),
n_tiny_droplet_misses: self.n_tiny_droplet_misses.unwrap_or(0),
n_misses: self.n_misses,
}
}
/// Returns an object which contains the pp and [`DifficultyAttributes`](crate::fruits::DifficultyAttributes)
/// containing stars and other attributes.
pub fn calculate(mut self) -> PerformanceAttributes {
let attributes = self.attributes.take().unwrap_or_else(|| {
stars(self.map, self.mods, self.passed_objects)
.attributes()
.unwrap()
});
let attributes = self
.attributes
.take()
.unwrap_or_else(|| stars(self.map, self.mods, self.passed_objects));
// Make sure all objects are set
self.assert_hitresults(&attributes);
self.assert_hitresults(attributes).calculate()
}
}
struct FruitsPPInner {
attributes: DifficultyAttributes,
mods: u32,
combo: Option<usize>,
n_fruits: usize,
n_droplets: usize,
n_tiny_droplets: usize,
n_tiny_droplet_misses: usize,
n_misses: usize,
}
impl FruitsPPInner {
fn calculate(self) -> PerformanceAttributes {
let attributes = &self.attributes;
let stars = attributes.stars;
// Relying heavily on aim
@@ -310,24 +341,25 @@ impl<'m> FruitsPP<'m> {
pp *= 0.9;
}
PerformanceAttributes { attributes, pp }
PerformanceAttributes {
attributes: self.attributes,
pp,
}
}
#[inline]
fn combo_hits(&self) -> usize {
self.n_fruits.unwrap_or(0) + self.n_droplets.unwrap_or(0) + self.n_misses
self.n_fruits + self.n_droplets + self.n_misses
}
#[inline]
fn successful_hits(&self) -> usize {
self.n_fruits.unwrap_or(0)
+ self.n_droplets.unwrap_or(0)
+ self.n_tiny_droplets.unwrap_or(0)
self.n_fruits + self.n_droplets + self.n_tiny_droplets
}
#[inline]
fn total_hits(&self) -> usize {
self.successful_hits() + self.n_tiny_droplet_misses.unwrap_or(0) + self.n_misses
self.successful_hits() + self.n_tiny_droplet_misses + self.n_misses
}
#[inline]
@@ -481,42 +513,38 @@ mod test {
let n_tiny_droplet_misses = 20;
let n_misses = 2;
let mut calculator = FruitsPP::new(&map)
let calculator = FruitsPP::new(&map)
.attributes(attributes.clone())
.passed_objects(total_objects)
.fruits(n_fruits)
.droplets(n_droplets)
.tiny_droplets(n_tiny_droplets)
.tiny_droplet_misses(n_tiny_droplet_misses)
.misses(n_misses);
calculator.assert_hitresults(&attributes);
.misses(n_misses)
.assert_hitresults(attributes.clone());
assert!(
(attributes.n_fruits as i32 - calculator.n_fruits.unwrap() as i32).abs()
<= n_misses as i32,
(attributes.n_fruits as i32 - calculator.n_fruits as i32).abs() <= n_misses as i32,
"Expected: {} | Actual: {} [+/- {} misses]",
attributes.n_fruits,
calculator.n_fruits.unwrap(),
calculator.n_fruits,
n_misses
);
assert_eq!(
attributes.n_droplets,
calculator.n_droplets.unwrap()
- (n_misses - (attributes.n_fruits - calculator.n_fruits.unwrap())),
calculator.n_droplets - (n_misses - (attributes.n_fruits - calculator.n_fruits)),
"Expected: {} | Actual: {}",
attributes.n_droplets,
calculator.n_droplets.unwrap()
- (n_misses - (attributes.n_fruits - calculator.n_fruits.unwrap())),
calculator.n_droplets - (n_misses - (attributes.n_fruits - calculator.n_fruits)),
);
assert_eq!(
attributes.n_tiny_droplets,
calculator.n_tiny_droplets.unwrap() + calculator.n_tiny_droplet_misses.unwrap(),
calculator.n_tiny_droplets + calculator.n_tiny_droplet_misses,
"Expected: {} | Actual: {}",
attributes.n_tiny_droplets,
calculator.n_tiny_droplets.unwrap() + calculator.n_tiny_droplet_misses.unwrap(),
calculator.n_tiny_droplets + calculator.n_tiny_droplet_misses,
);
}
}
+10 -6
View File
@@ -215,12 +215,16 @@ impl BeatmapExt for Beatmap {
{
#[cfg(feature = "no_leniency")]
{
osu::no_leniency::stars(self, mods, passed_objects)
StarResult::Osu(osu::no_leniency::stars(self, mods, passed_objects))
}
#[cfg(all(not(feature = "no_leniency"), feature = "no_sliders_no_leniency"))]
{
osu::no_sliders_no_leniency::stars(self, mods, passed_objects)
StarResult::Osu(osu::no_sliders_no_leniency::stars(
self,
mods,
passed_objects,
))
}
#[cfg(all(
@@ -229,7 +233,7 @@ impl BeatmapExt for Beatmap {
feature = "all_included"
))]
{
osu::all_included::stars(self, mods, passed_objects)
StarResult::Osu(osu::all_included::stars(self, mods, passed_objects))
}
#[cfg(not(any(
@@ -245,21 +249,21 @@ impl BeatmapExt for Beatmap {
panic!("`mania` feature is not enabled");
#[cfg(feature = "mania")]
mania::stars(self, mods, passed_objects)
StarResult::Mania(mania::stars(self, mods, passed_objects))
}
GameMode::TKO => {
#[cfg(not(feature = "taiko"))]
panic!("`osu` feature is not enabled");
#[cfg(feature = "taiko")]
taiko::stars(self, mods, passed_objects)
StarResult::Taiko(taiko::stars(self, mods, passed_objects))
}
GameMode::CTB => {
#[cfg(not(feature = "fruits"))]
panic!("`fruits` feature is not enabled");
#[cfg(feature = "fruits")]
fruits::stars(self, mods, passed_objects)
StarResult::Fruits(fruits::stars(self, mods, passed_objects))
}
}
}
+8 -4
View File
@@ -6,7 +6,7 @@ mod strain;
pub use pp::*;
use strain::Strain;
use crate::{parse::HitObject, Beatmap, GameMode, Mods, StarResult, Strains};
use crate::{parse::HitObject, Beatmap, GameMode, Mods, Strains};
const SECTION_LEN: f32 = 400.0;
const STAR_SCALING_FACTOR: f32 = 0.018;
@@ -14,11 +14,15 @@ const STAR_SCALING_FACTOR: f32 = 0.018;
/// Star calculation for osu!mania maps
///
/// In case of a partial play, e.g. a fail, one can specify the amount of passed objects.
pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> StarResult {
pub fn stars(
map: &Beatmap,
mods: impl Mods,
passed_objects: Option<usize>,
) -> DifficultyAttributes {
let take = passed_objects.unwrap_or_else(|| map.hit_objects.len());
if take < 2 {
return StarResult::Mania(DifficultyAttributes::default());
return DifficultyAttributes::default();
}
let rounded_cs = map.cs.round();
@@ -86,7 +90,7 @@ pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> S
let stars = strain.difficulty_value() * STAR_SCALING_FACTOR;
StarResult::Mania(DifficultyAttributes { stars })
DifficultyAttributes { stars }
}
/// Essentially the same as the `stars` function but instead of
+1 -1
View File
@@ -93,7 +93,7 @@ impl<'m> ManiaPP<'m> {
pub fn calculate(self) -> PerformanceAttributes {
let stars = self
.stars
.unwrap_or_else(|| stars(self.map, self.mods, self.passed_objects).stars());
.unwrap_or_else(|| stars(self.map, self.mods, self.passed_objects).stars);
let ez = self.mods.ez();
let nf = self.mods.nf();
+143 -99
View File
@@ -42,8 +42,6 @@ pub struct OsuPP<'m> {
n50: Option<usize>,
n_misses: usize,
passed_objects: Option<usize>,
effective_misses: Option<usize>,
}
impl<'m> OsuPP<'m> {
@@ -61,8 +59,6 @@ impl<'m> OsuPP<'m> {
n50: None,
n_misses: 0,
passed_objects: None,
effective_misses: None,
}
}
@@ -202,36 +198,82 @@ impl<'m> OsuPP<'m> {
self
}
fn assert_hitresults(&mut self) {
if self.acc.is_none() {
fn assert_hitresults(self, attributes: DifficultyAttributes) -> OsuPPInner {
let mut n300 = self.n300;
let mut n100 = self.n100;
let mut n50 = self.n50;
let n_objects = self
.passed_objects
.unwrap_or_else(|| self.map.hit_objects.len());
if let Some(acc) = self.acc {
let n300 = n300.unwrap_or(0);
let n100 = n100.unwrap_or(0);
let n50 = n50.unwrap_or(0);
let total_hits = (n300 + n100 + n50 + self.n_misses).min(n_objects) as f32;
let effective_misses =
calculate_effective_misses(&attributes, self.combo, self.n_misses, total_hits);
OsuPPInner {
attributes,
mods: self.mods,
combo: self.combo,
acc,
n300,
n100,
n50,
total_hits,
effective_misses,
}
} else {
let n_objects = self
.passed_objects
.unwrap_or_else(|| self.map.hit_objects.len());
let remaining = n_objects
.saturating_sub(self.n300.unwrap_or(0))
.saturating_sub(self.n100.unwrap_or(0))
.saturating_sub(self.n50.unwrap_or(0))
.saturating_sub(n300.unwrap_or(0))
.saturating_sub(n100.unwrap_or(0))
.saturating_sub(n50.unwrap_or(0))
.saturating_sub(self.n_misses);
if remaining > 0 {
if self.n300.is_none() {
self.n300.replace(remaining);
} else if self.n100.is_none() {
self.n100.replace(remaining);
} else if self.n50.is_none() {
self.n50.replace(remaining);
if n300.is_none() {
n300.replace(remaining);
} else if n100.is_none() {
n100.replace(remaining);
} else if n50.is_none() {
n50.replace(remaining);
} else {
*self.n300.as_mut().unwrap() += remaining;
*n300.as_mut().unwrap() += remaining;
}
}
let n300 = *self.n300.get_or_insert(0);
let n100 = *self.n100.get_or_insert(0);
let n50 = *self.n50.get_or_insert(0);
let n300 = n300.unwrap_or(0);
let n100 = n100.unwrap_or(0);
let n50 = n50.unwrap_or(0);
let numerator = n300 * 6 + n100 * 2 + n50;
self.acc.replace(numerator as f32 / n_objects as f32 / 6.0);
let acc = numerator as f32 / n_objects as f32 / 6.0;
let total_hits = (n300 + n100 + n50 + self.n_misses).min(n_objects) as f32;
let effective_misses =
calculate_effective_misses(&attributes, self.combo, self.n_misses, total_hits);
OsuPPInner {
attributes,
mods: self.mods,
combo: self.combo,
acc,
n300,
n100,
n50,
total_hits,
effective_misses,
}
}
}
@@ -256,6 +298,8 @@ impl<'m> OsuPP<'m> {
self.calculate_with_func(super::all_included::stars)
}
// TODO: import `stars` function based on features
// Omits an unnecessary error when enabled features are invalid
#[cfg(not(any(
feature = "no_leniency",
@@ -268,46 +312,56 @@ impl<'m> OsuPP<'m> {
fn calculate_with_func(
mut self,
stars_func: impl FnOnce(&Beatmap, u32, Option<usize>) -> StarResult,
stars_func: impl FnOnce(&Beatmap, u32, Option<usize>) -> DifficultyAttributes,
) -> PerformanceAttributes {
if self.attributes.is_none() {
let attributes = stars_func(self.map, self.mods, self.passed_objects)
.attributes()
.unwrap();
self.attributes.replace(attributes);
}
let attributes = self
.attributes
.take()
.unwrap_or_else(|| stars_func(self.map, self.mods, self.passed_objects));
// Make sure the hitresults and accuracy are set
self.assert_hitresults();
self.assert_hitresults(attributes).calculate()
}
}
let total_hits = self.total_hits() as f32;
struct OsuPPInner {
attributes: DifficultyAttributes,
mods: u32,
combo: Option<usize>,
acc: f32,
n300: usize,
n100: usize,
n50: usize,
total_hits: f32,
effective_misses: usize,
}
impl OsuPPInner {
fn calculate(mut self) -> PerformanceAttributes {
let mut multiplier = 1.12;
self.calculate_effective_misses(total_hits);
// NF penalty
if self.mods.nf() {
multiplier *= (1.0 - 0.02 * self.effective_misses.map_or(0.0, |m| m as f32)).max(0.9);
multiplier *= (1.0 - 0.02 * (self.effective_misses as f32)).max(0.9);
}
// SO penalty
if self.mods.so() {
let n_spinners = self.attributes.as_ref().unwrap().n_spinners;
multiplier *= 1.0 - (n_spinners as f32 / total_hits).powf(0.85);
let n_spinners = self.attributes.n_spinners;
multiplier *= 1.0 - (n_spinners as f32 / self.total_hits).powf(0.85);
}
// Relax penalty
if self.mods.rx() {
*self.effective_misses.as_mut().unwrap() +=
self.n100.unwrap_or(0) + self.n50.unwrap_or(0);
self.effective_misses += self.n100 + self.n50;
multiplier *= 0.6;
}
let aim_value = self.compute_aim_value(total_hits);
let speed_value = self.compute_speed_value(total_hits);
let acc_value = self.compute_accuracy_value(total_hits);
let flashlight_value = self.compute_flashlight_value(total_hits);
let aim_value = self.compute_aim_value();
let speed_value = self.compute_speed_value();
let acc_value = self.compute_accuracy_value();
let flashlight_value = self.compute_flashlight_value();
let pp = (aim_value.powf(1.1)
+ speed_value.powf(1.1)
@@ -317,7 +371,7 @@ impl<'m> OsuPP<'m> {
* multiplier;
PerformanceAttributes {
attributes: self.attributes.unwrap(),
attributes: self.attributes,
pp_acc: aim_value,
pp_aim: aim_value,
pp_flashlight: flashlight_value,
@@ -326,8 +380,9 @@ impl<'m> OsuPP<'m> {
}
}
fn compute_aim_value(&self, total_hits: f32) -> f32 {
let attributes = self.attributes.as_ref().unwrap();
fn compute_aim_value(&self) -> f32 {
let attributes = &self.attributes;
let total_hits = self.total_hits;
// TD penalty
let raw_aim = if self.mods.td() {
@@ -345,7 +400,7 @@ impl<'m> OsuPP<'m> {
aim_value *= len_bonus;
// Penalize misses
let effective_misses = self.effective_misses.map_or(0, |m| m as i32);
let effective_misses = self.effective_misses as i32;
if effective_misses > 0 {
aim_value *= 0.97
* (1.0 - (effective_misses as f32 / total_hits).powf(0.775)).powi(effective_misses);
@@ -376,14 +431,15 @@ impl<'m> OsuPP<'m> {
aim_value *= ar_bonus;
// Scale with accuracy
aim_value *= 0.5 + self.acc.unwrap() / 2.0;
aim_value *= 0.5 + self.acc / 2.0;
aim_value *= 0.98 + attributes.od * attributes.od / 2500.0;
aim_value
}
fn compute_speed_value(&self, total_hits: f32) -> f32 {
let attributes = self.attributes.as_ref().unwrap();
fn compute_speed_value(&self) -> f32 {
let attributes = &self.attributes;
let total_hits = self.total_hits;
let mut speed_value =
(5.0 * (attributes.speed_strain / 0.0675).max(1.0) - 4.0).powi(3) / 100_000.0;
@@ -395,7 +451,7 @@ impl<'m> OsuPP<'m> {
speed_value *= len_bonus;
// Penalize misses
let effective_misses = self.effective_misses.map_or(0.0, |m| m as f32);
let effective_misses = self.effective_misses as f32;
if effective_misses > 0.0 {
speed_value *= 0.97
* (1.0 - (effective_misses / total_hits).powf(0.775))
@@ -425,31 +481,29 @@ impl<'m> OsuPP<'m> {
// Scaling the speed value with accuracy and OD
let od_factor = 0.95 + attributes.od * attributes.od / 750.0;
let acc_factor = self
.acc
.unwrap()
.powf((14.5 - attributes.od.max(8.0)) / 2.0);
let acc_factor = self.acc.powf((14.5 - attributes.od.max(8.0)) / 2.0);
speed_value *= od_factor * acc_factor;
// Penalize n50s
speed_value *= 0.98_f32.powf(
(self.n50.unwrap_or(0) as f32 >= total_hits / 500.0) as u8 as f32
* (self.n50.unwrap_or(0) as f32 - total_hits / 500.0),
(self.n50 as f32 >= total_hits / 500.0) as u8 as f32
* (self.n50 as f32 - total_hits / 500.0),
);
speed_value
}
fn compute_accuracy_value(&self, total_hits: f32) -> f32 {
fn compute_accuracy_value(&self) -> f32 {
if self.mods.rx() {
return 0.0;
}
let attributes = self.attributes.as_ref().unwrap();
let attributes = &self.attributes;
let total_hits = self.total_hits;
let n_circles = attributes.n_circles as f32;
let n300 = self.n300.unwrap_or(0) as f32;
let n100 = self.n100.unwrap_or(0) as f32;
let n50 = self.n50.unwrap_or(0) as f32;
let n300 = self.n300 as f32;
let n100 = self.n100 as f32;
let n50 = self.n50 as f32;
let better_acc_percentage = (n_circles > 0.0) as u8 as f32
* (((n300 - (total_hits - n_circles)) * 6.0 + n100 * 2.0 + n50) / (n_circles * 6.0))
@@ -473,12 +527,13 @@ impl<'m> OsuPP<'m> {
acc_value
}
fn compute_flashlight_value(&self, total_hits: f32) -> f32 {
fn compute_flashlight_value(&self) -> f32 {
if !self.mods.fl() {
return 0.0;
}
let attributes = self.attributes.as_ref().unwrap();
let attributes = &self.attributes;
let total_hits = self.total_hits;
// TD penalty
let raw_flashlight = if self.mods.td() {
@@ -496,7 +551,7 @@ impl<'m> OsuPP<'m> {
// Penalize misses by assessing # of misses relative to the total # of objects.
// Default a 3% reduction for any # of misses
let effective_misses = self.effective_misses.map_or(0.0, |m| m as f32);
let effective_misses = self.effective_misses as f32;
if effective_misses > 0.0 {
flashlight_value *= 0.97
* (1.0 - (effective_misses / total_hits).powf(0.775))
@@ -514,47 +569,39 @@ impl<'m> OsuPP<'m> {
+ (total_hits > 200.0) as u8 as f32 * (0.2 * ((total_hits - 200.0) / 200.0).min(1.0));
// Scale the aim value with accuracy _slightly_
flashlight_value *= 0.5 + self.acc.unwrap() / 2.0;
flashlight_value *= 0.5 + self.acc / 2.0;
// It is important to also consider accuracy difficulty when doing that
flashlight_value *= 0.98 + attributes.od * attributes.od / 2500.0;
flashlight_value
}
}
fn calculate_effective_misses(&mut self, total_hits: f32) {
// Guess the number of misses + slider breaks from combo
let mut combo_based_misses: f32 = 0.0;
fn calculate_effective_misses(
attributes: &DifficultyAttributes,
combo: Option<usize>,
n_misses: usize,
total_hits: f32,
) -> usize {
// Guess the number of misses + slider breaks from combo
let mut combo_based_misses: f32 = 0.0;
let attributes = self.attributes.as_ref().unwrap();
if attributes.n_sliders > 0 {
let full_combo_threshold = attributes.max_combo as f32 - 0.1 * attributes.n_sliders as f32;
if attributes.n_sliders > 0 {
let full_combo_threshold =
attributes.max_combo as f32 - 0.1 * attributes.n_sliders as f32;
let f32_combo = combo.map(|c| c as f32);
let f32_combo = self.combo.map(|c| c as f32);
if let Some(combo) = f32_combo.filter(|&c| c < full_combo_threshold) {
combo_based_misses = full_combo_threshold / combo.max(1.0);
}
if let Some(combo) = f32_combo.filter(|&c| c < full_combo_threshold) {
combo_based_misses = full_combo_threshold / combo.max(1.0);
}
// We're clamping misses because since it's derived from combo it
// can be higher than total hits and that breaks some calculations
combo_based_misses = combo_based_misses.min(total_hits);
self.effective_misses = Some(self.n_misses.max(combo_based_misses.floor() as usize))
}
#[inline]
fn total_hits(&self) -> usize {
let n_objects = self
.passed_objects
.unwrap_or_else(|| self.map.hit_objects.len());
// We're clamping misses because since it's derived from combo it
// can be higher than total hits and that breaks some calculations
combo_based_misses = combo_based_misses.min(total_hits);
(self.n300.unwrap_or(0) + self.n100.unwrap_or(0) + self.n50.unwrap_or(0) + self.n_misses)
.min(n_objects)
}
n_misses.max(combo_based_misses.floor() as usize)
}
pub trait OsuAttributeProvider {
@@ -666,24 +713,21 @@ mod test {
#[test]
fn osu_missing_objects() {
let map = Beatmap::default();
let attributes = DifficultyAttributes::default();
let total_objects = 1234;
let n300 = 1000;
let n100 = 200;
let n50 = 30;
let mut calculator = OsuPP::new(&map)
let calculator = OsuPP::new(&map)
.passed_objects(total_objects)
.n300(n300)
.n100(n100)
.n50(n50);
.n50(n50)
.assert_hitresults(attributes);
calculator.assert_hitresults();
let n_objects = calculator.n300.unwrap()
+ calculator.n100.unwrap()
+ calculator.n50.unwrap()
+ calculator.n_misses;
let n_objects = calculator.n300 + calculator.n100 + calculator.n50;
assert_eq!(
total_objects, n_objects,
+8 -4
View File
@@ -21,7 +21,7 @@ use skill::Skill;
use skill_kind::SkillKind;
use slider_state::SliderState;
use crate::{Beatmap, Mods, StarResult, Strains};
use crate::{Beatmap, Mods, Strains};
const OBJECT_RADIUS: f32 = 64.0;
const SECTION_LEN: f32 = 400.0;
@@ -37,7 +37,11 @@ const STACK_DISTANCE: f32 = 3.0;
/// most precise results.
///
/// In case of a partial play, e.g. a fail, one can specify the amount of passed objects.
pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> StarResult {
pub fn stars(
map: &Beatmap,
mods: impl Mods,
passed_objects: Option<usize>,
) -> DifficultyAttributes {
let take = passed_objects.unwrap_or_else(|| map.hit_objects.len());
let map_attributes = map.attributes().mods(mods);
@@ -53,7 +57,7 @@ pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> S
};
if take < 2 {
return StarResult::Osu(diff_attributes);
return diff_attributes;
}
let mut raw_ar = map.ar;
@@ -230,7 +234,7 @@ pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> S
diff_attributes.aim_strain = aim_rating;
diff_attributes.flashlight_rating = flashlight_rating;
StarResult::Osu(diff_attributes)
diff_attributes
}
/// Essentially the same as the `stars` function but instead of
+8 -4
View File
@@ -21,7 +21,7 @@ use skill::Skill;
use skill_kind::SkillKind;
use slider_state::SliderState;
use crate::{Beatmap, Mods, StarResult, Strains};
use crate::{Beatmap, Mods, Strains};
const OBJECT_RADIUS: f32 = 64.0;
const SECTION_LEN: f32 = 400.0;
@@ -37,7 +37,11 @@ const NORMALIZED_RADIUS: f32 = 52.0;
/// processing stack leniency is relatively expensive.
///
/// In case of a partial play, e.g. a fail, one can specify the amount of passed objects.
pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> StarResult {
pub fn stars(
map: &Beatmap,
mods: impl Mods,
passed_objects: Option<usize>,
) -> DifficultyAttributes {
let take = passed_objects.unwrap_or_else(|| map.hit_objects.len());
let map_attributes = map.attributes().mods(mods);
@@ -52,7 +56,7 @@ pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> S
};
if take < 2 {
return StarResult::Osu(diff_attributes);
return diff_attributes;
}
let radius = OBJECT_RADIUS * (1.0 - 0.7 * (map_attributes.cs - 5.0) / 5.0) / 2.0;
@@ -201,7 +205,7 @@ pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> S
diff_attributes.n_spinners = map.n_spinners as usize;
diff_attributes.stars = star_rating;
StarResult::Osu(diff_attributes)
diff_attributes
}
/// Essentially the same as the `stars` function but instead of
+10 -6
View File
@@ -20,7 +20,7 @@ use skill::Skill;
use skill_kind::SkillKind;
use slider_state::SliderState;
use crate::{parse::HitObjectKind, Beatmap, Mods, StarResult, Strains};
use crate::{parse::HitObjectKind, Beatmap, Mods, Strains};
const OBJECT_RADIUS: f32 = 64.0;
const SECTION_LEN: f32 = 400.0;
@@ -34,7 +34,11 @@ const NORMALIZED_RADIUS: f32 = 52.0;
/// However, this is the most efficient one.
///
/// In case of a partial play, e.g. a fail, one can specify the amount of passed objects.
pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> StarResult {
pub fn stars(
map: &Beatmap,
mods: impl Mods,
passed_objects: Option<usize>,
) -> DifficultyAttributes {
let take = passed_objects.unwrap_or_else(|| map.hit_objects.len());
let attributes = map.attributes().mods(mods);
@@ -42,12 +46,12 @@ pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> S
let od = (80.0 - hit_window) / 6.0;
if take < 2 {
return StarResult::Osu(DifficultyAttributes {
return DifficultyAttributes {
ar: attributes.ar,
hp: attributes.hp,
od,
..Default::default()
});
};
}
let radius = OBJECT_RADIUS * (1.0 - 0.7 * (attributes.cs - 5.0) / 5.0) / 2.0;
@@ -194,7 +198,7 @@ pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> S
0.0
};
StarResult::Osu(DifficultyAttributes {
DifficultyAttributes {
stars: star_rating,
ar: attributes.ar,
hp: attributes.hp,
@@ -206,7 +210,7 @@ pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> S
n_circles: map.n_circles as usize,
n_spinners: map.n_spinners as usize,
n_sliders: map.n_sliders as usize,
})
}
}
/// Essentially the same as the `stars` function but instead of
+8 -4
View File
@@ -18,7 +18,7 @@ use skill::Skill;
use skill_kind::SkillKind;
use stamina_cheese::StaminaCheeseDetector;
use crate::{Beatmap, Mods, StarResult, Strains};
use crate::{Beatmap, Mods, Strains};
use std::cmp::Ordering;
use std::f32::consts::PI;
@@ -32,11 +32,15 @@ const STAMINA_SKILL_MULTIPLIER: f32 = 0.02;
/// Star calculation for osu!taiko maps.
///
/// In case of a partial play, e.g. a fail, one can specify the amount of passed objects.
pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> StarResult {
pub fn stars(
map: &Beatmap,
mods: impl Mods,
passed_objects: Option<usize>,
) -> DifficultyAttributes {
let take = passed_objects.unwrap_or_else(|| map.hit_objects.len());
if take < 2 {
return StarResult::Taiko(DifficultyAttributes { stars: 0.0 });
return DifficultyAttributes { stars: 0.0 };
}
// True if the object at that index is stamina cheese
@@ -116,7 +120,7 @@ pub fn stars(map: &Beatmap, mods: impl Mods, passed_objects: Option<usize>) -> S
let stars = rescale(1.4 * separate_rating + 0.5 * combined_rating);
StarResult::Taiko(DifficultyAttributes { stars })
DifficultyAttributes { stars }
}
/// Essentially the same as the `stars` function but instead of
+27 -3
View File
@@ -139,7 +139,7 @@ impl<'m> TaikoPP<'m> {
pub fn calculate(mut self) -> PerformanceAttributes {
let stars = self
.stars
.unwrap_or_else(|| stars(self.map, self.mods, self.passed_objects).stars());
.unwrap_or_else(|| stars(self.map, self.mods, self.passed_objects).stars);
if self.n300.or(self.n100).is_some() {
let total = self.map.n_circles as usize;
@@ -161,6 +161,30 @@ impl<'m> TaikoPP<'m> {
self.acc = (2 * n300 + n100) as f32 / (2 * (n300 + n100 + misses)) as f32;
}
let inner = TaikoPPInner {
map: self.map,
stars,
mods: self.mods,
max_combo: self.max_combo,
acc: self.acc,
n_misses: self.n_misses,
};
inner.calculate()
}
}
struct TaikoPPInner<'m> {
map: &'m Beatmap,
stars: f32,
mods: u32,
max_combo: usize,
acc: f32,
n_misses: usize,
}
impl<'m> TaikoPPInner<'m> {
fn calculate(self) -> PerformanceAttributes {
let mut multiplier = 1.1;
if self.mods.nf() {
@@ -171,13 +195,13 @@ impl<'m> TaikoPP<'m> {
multiplier *= 1.1;
}
let strain_value = self.compute_strain_value(stars);
let strain_value = self.compute_strain_value(self.stars);
let acc_value = self.compute_accuracy_value();
let pp = (strain_value.powf(1.1) + acc_value.powf(1.1)).powf(1.0 / 1.1) * multiplier;
PerformanceAttributes {
attributes: DifficultyAttributes { stars },
attributes: DifficultyAttributes { stars: self.stars },
pp,
pp_acc: acc_value,
pp_strain: strain_value,