Struct rosu_pp::FruitsPP[][src]

pub struct FruitsPP<'map> { /* fields omitted */ }
Expand description

Performance calculator on osu!ctb maps.

Example

use rosu_pp::{FruitsPP, Beatmap};

let map: Beatmap = ...

let pp_result = FruitsPP::new(&map)
    .mods(8 + 64) // HDDT
    .combo(1234)
    .misses(1)
    .accuracy(98.5)
    .calculate();

println!("PP: {} | Stars: {}", pp_result.pp(), pp_result.stars());

let next_result = FruitsPP::new(&map)
    .attributes(pp_result)  // reusing previous results for performance
    .mods(8 + 64)           // has to be the same to reuse attributes
    .accuracy(99.5)
    .calculate();

println!("PP: {} | Stars: {}", next_result.pp(), next_result.stars());

Implementations

Create a new performance calculator for osu!ctb maps.

Provide the result of a previous difficulty or performance calculation. If you already calculated the attributes for the current map-mod combination, be sure to put them in here so that they don’t have to be recalculated.

Specify mods through their bit values.

See https://github.com/ppy/osu-api/wiki#mods

Specify the max combo of the play.

Specify the amount of fruits of a play i.e. n300.

Specify the amount of droplets of a play i.e. n100.

Specify the amount of tiny droplets of a play i.e. n50.

Specify the amount of tiny droplet misses of a play i.e. n_katu.

Specify the amount of fruit / droplet misses of the play.

Amount of passed objects for partial plays, e.g. a fail.

If you want to calculate the performance after every few objects, instead of using FruitsPP multiple times with different passed_objects, you should use FruitsGradualPerformanceAttributes.

Provide parameters through an FruitsScoreState.

Generate the hit results with respect to the given accuracy between 0 and 100.

Be sure to set misses beforehand! Also, if available, set attributes beforehand.

Calculate all performance related values, including pp and stars.

Trait Implementations

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Formats the value using the given formatter. Read more

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