964b4d5749
- Add `Objective<V>` trait with lifecycle hooks (`before_trial`, `after_trial`, `max_retries`) in new `src/objective.rs` - Replace 14+ optimize variants with 6 methods: `optimize`, `optimize_with`, and async/parallel counterparts - `optimize*` methods accept closures directly (FnMut for sync, Fn for async); `optimize_with*` methods accept `impl Objective<V>` for struct-based objectives with hooks and retries - Remove `optimize_until`, `optimize_with_callback`, `optimize_with_retries`, `optimize_with_checkpoint`, and all deprecated `_with_sampler` methods
195 lines
5.6 KiB
Rust
195 lines
5.6 KiB
Rust
//! Async integration tests for the optimizer library.
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//!
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//! These tests are only compiled when the `async` feature is enabled.
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#![cfg(feature = "async")]
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use optimizer::parameter::{FloatParam, Parameter};
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use optimizer::sampler::random::RandomSampler;
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use optimizer::sampler::tpe::TpeSampler;
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use optimizer::{Direction, Error, Study};
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#[tokio::test]
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async fn test_optimize_async_basic() {
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let sampler = RandomSampler::with_seed(42);
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let study: Study<f64> = Study::with_sampler(Direction::Minimize, sampler);
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let x_param = FloatParam::new(-10.0, 10.0);
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study
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.optimize_async(10, move |trial: &mut optimizer::Trial| {
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let x = x_param.suggest(trial)?;
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Ok::<_, Error>(x * x)
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})
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.await
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.expect("async optimization should succeed");
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assert_eq!(study.n_trials(), 10);
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let best = study.best_trial().expect("should have best trial");
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assert!(best.value >= 0.0, "x^2 should be non-negative");
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}
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#[tokio::test]
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async fn test_optimize_async_with_tpe() {
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let sampler = TpeSampler::builder()
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.seed(42)
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.n_startup_trials(5)
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.build()
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.unwrap();
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let study: Study<f64> = Study::with_sampler(Direction::Minimize, sampler);
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let x_param = FloatParam::new(-5.0, 5.0);
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study
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.optimize_async(15, move |trial: &mut optimizer::Trial| {
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let x = x_param.suggest(trial)?;
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Ok::<_, Error>(x * x)
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})
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.await
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.expect("async optimization with sampler should succeed");
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assert_eq!(study.n_trials(), 15);
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let best = study.best_trial().expect("should have best trial");
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assert!(best.value < 10.0, "should find reasonable solution");
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}
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#[tokio::test]
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async fn test_optimize_parallel() {
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let sampler = RandomSampler::with_seed(42);
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let study: Study<f64> = Study::with_sampler(Direction::Minimize, sampler);
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let x_param = FloatParam::new(-10.0, 10.0);
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study
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.optimize_parallel(20, 4, move |trial: &mut optimizer::Trial| {
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let x = x_param.suggest(trial)?;
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Ok::<_, Error>(x * x)
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})
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.await
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.expect("parallel optimization should succeed");
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assert_eq!(study.n_trials(), 20);
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}
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#[tokio::test]
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async fn test_optimize_parallel_with_tpe() {
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let sampler = TpeSampler::builder()
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.seed(42)
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.n_startup_trials(5)
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.build()
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.unwrap();
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let study: Study<f64> = Study::with_sampler(Direction::Minimize, sampler);
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let x_param = FloatParam::new(-5.0, 5.0);
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let y_param = FloatParam::new(-5.0, 5.0);
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study
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.optimize_parallel(15, 3, move |trial: &mut optimizer::Trial| {
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let x = x_param.suggest(trial)?;
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let y = y_param.suggest(trial)?;
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Ok::<_, Error>(x * x + y * y)
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})
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.await
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.expect("parallel optimization with sampler should succeed");
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assert_eq!(study.n_trials(), 15);
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}
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#[tokio::test]
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async fn test_optimize_async_all_failures() {
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let study: Study<f64> = Study::new(Direction::Minimize);
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let result = study
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.optimize_async(5, |_trial: &mut optimizer::Trial| {
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Err::<f64, &str>("always fails")
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})
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.await;
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assert!(
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matches!(result, Err(Error::NoCompletedTrials)),
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"should return NoCompletedTrials when all trials fail"
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);
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}
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#[tokio::test]
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async fn test_optimize_parallel_all_failures() {
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let study: Study<f64> = Study::new(Direction::Minimize);
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let result = study
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.optimize_parallel(5, 2, |_trial: &mut optimizer::Trial| {
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Err::<f64, &str>("always fails")
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})
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.await;
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assert!(
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matches!(result, Err(Error::NoCompletedTrials)),
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"should return NoCompletedTrials when all trials fail"
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);
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}
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#[tokio::test]
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async fn test_optimize_async_partial_failures() {
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let sampler = RandomSampler::with_seed(42);
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let study: Study<f64> = Study::with_sampler(Direction::Minimize, sampler);
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let counter = std::sync::atomic::AtomicUsize::new(0);
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let x_param = FloatParam::new(0.0, 10.0);
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study
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.optimize_async(10, move |trial: &mut optimizer::Trial| {
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let count = counter.fetch_add(1, std::sync::atomic::Ordering::SeqCst);
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if count.is_multiple_of(2) {
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let x = x_param.suggest(trial)?;
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Ok::<_, Error>(x)
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} else {
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Err(Error::NoCompletedTrials) // Use as error type
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}
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})
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.await
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.expect("should succeed with partial failures");
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// Only half should have succeeded
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assert_eq!(study.n_trials(), 5);
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}
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#[tokio::test]
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async fn test_optimize_parallel_high_concurrency() {
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let sampler = RandomSampler::with_seed(42);
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let study: Study<f64> = Study::with_sampler(Direction::Minimize, sampler);
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let x_param = FloatParam::new(0.0, 10.0);
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// Run with concurrency higher than n_trials
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study
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.optimize_parallel(5, 10, move |trial: &mut optimizer::Trial| {
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let x = x_param.suggest(trial)?;
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Ok::<_, Error>(x)
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})
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.await
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.expect("should handle high concurrency");
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assert_eq!(study.n_trials(), 5);
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}
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#[tokio::test]
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async fn test_optimize_parallel_single_concurrency() {
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let sampler = RandomSampler::with_seed(42);
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let study: Study<f64> = Study::with_sampler(Direction::Minimize, sampler);
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let x_param = FloatParam::new(0.0, 10.0);
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// Run with concurrency of 1 (sequential)
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study
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.optimize_parallel(10, 1, move |trial: &mut optimizer::Trial| {
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let x = x_param.suggest(trial)?;
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Ok::<_, Error>(x)
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})
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.await
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.expect("should work with single concurrency");
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assert_eq!(study.n_trials(), 10);
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}
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