Files
rust-optimizer/tests/user_attr_tests.rs
T
Manuel Raimann 52f3c074dc feat: add trial user attributes for logging and analysis
Add AttrValue enum (Float, Int, String, Bool) with From impls and
set_user_attr/user_attr/user_attrs methods on both Trial and
CompletedTrial. Attributes set during optimization are propagated
through complete_trial and prune_trial. AttrValue is re-exported
at crate root and in the prelude.
2026-02-11 17:18:17 +01:00

149 lines
4.1 KiB
Rust

use optimizer::parameter::{FloatParam, Parameter};
use optimizer::{AttrValue, Direction, Study};
#[test]
fn set_and_get_float_attr() {
let study: Study<f64> = Study::new(Direction::Minimize);
let x = FloatParam::new(0.0, 1.0);
study
.optimize(1, |trial| {
let _ = x.suggest(trial)?;
trial.set_user_attr("score", 42.5);
assert_eq!(trial.user_attr("score"), Some(&AttrValue::Float(42.5)));
Ok::<_, optimizer::Error>(1.0)
})
.unwrap();
}
#[test]
fn set_and_get_int_attr() {
let study: Study<f64> = Study::new(Direction::Minimize);
let x = FloatParam::new(0.0, 1.0);
study
.optimize(1, |trial| {
let _ = x.suggest(trial)?;
trial.set_user_attr("epoch", 42_i64);
assert_eq!(trial.user_attr("epoch"), Some(&AttrValue::Int(42)));
Ok::<_, optimizer::Error>(1.0)
})
.unwrap();
}
#[test]
fn set_and_get_string_attr() {
let study: Study<f64> = Study::new(Direction::Minimize);
let x = FloatParam::new(0.0, 1.0);
study
.optimize(1, |trial| {
let _ = x.suggest(trial)?;
trial.set_user_attr("model", "resnet50");
assert_eq!(
trial.user_attr("model"),
Some(&AttrValue::String("resnet50".to_owned()))
);
Ok::<_, optimizer::Error>(1.0)
})
.unwrap();
}
#[test]
fn set_and_get_bool_attr() {
let study: Study<f64> = Study::new(Direction::Minimize);
let x = FloatParam::new(0.0, 1.0);
study
.optimize(1, |trial| {
let _ = x.suggest(trial)?;
trial.set_user_attr("converged", true);
assert_eq!(trial.user_attr("converged"), Some(&AttrValue::Bool(true)));
Ok::<_, optimizer::Error>(1.0)
})
.unwrap();
}
#[test]
fn attrs_propagate_to_completed_trial() {
let study: Study<f64> = Study::new(Direction::Minimize);
let x = FloatParam::new(0.0, 1.0);
study
.optimize(1, |trial| {
let _ = x.suggest(trial)?;
trial.set_user_attr("time_secs", 1.5);
trial.set_user_attr("tag", "baseline");
Ok::<_, optimizer::Error>(1.0)
})
.unwrap();
let best = study.best_trial().unwrap();
assert_eq!(best.user_attr("time_secs"), Some(&AttrValue::Float(1.5)));
assert_eq!(
best.user_attr("tag"),
Some(&AttrValue::String("baseline".to_owned()))
);
}
#[test]
fn overwrite_attr_replaces_value() {
let study: Study<f64> = Study::new(Direction::Minimize);
let x = FloatParam::new(0.0, 1.0);
study
.optimize(1, |trial| {
let _ = x.suggest(trial)?;
trial.set_user_attr("key", "old");
trial.set_user_attr("key", "new");
assert_eq!(
trial.user_attr("key"),
Some(&AttrValue::String("new".to_owned()))
);
Ok::<_, optimizer::Error>(1.0)
})
.unwrap();
let best = study.best_trial().unwrap();
assert_eq!(
best.user_attr("key"),
Some(&AttrValue::String("new".to_owned()))
);
}
#[test]
fn missing_attr_returns_none() {
let study: Study<f64> = Study::new(Direction::Minimize);
let x = FloatParam::new(0.0, 1.0);
study
.optimize(1, |trial| {
let _ = x.suggest(trial)?;
assert_eq!(trial.user_attr("nonexistent"), None);
Ok::<_, optimizer::Error>(1.0)
})
.unwrap();
let best = study.best_trial().unwrap();
assert_eq!(best.user_attr("nonexistent"), None);
}
#[test]
fn user_attrs_map_returns_all() {
let study: Study<f64> = Study::new(Direction::Minimize);
let x = FloatParam::new(0.0, 1.0);
study
.optimize(1, |trial| {
let _ = x.suggest(trial)?;
trial.set_user_attr("a", 1.0);
trial.set_user_attr("b", true);
assert_eq!(trial.user_attrs().len(), 2);
Ok::<_, optimizer::Error>(1.0)
})
.unwrap();
let best = study.best_trial().unwrap();
assert_eq!(best.user_attrs().len(), 2);
}