Files
dagx/tests/patterns/butterfly.rs
T

229 lines
6.5 KiB
Rust

//! Butterfly pattern DAG tests
use crate::common::task_fn;
use dagx::{DagResult, DagRunner, TaskHandle};
use std::sync::atomic::{AtomicUsize, Ordering};
use std::sync::Arc;
#[tokio::test]
async fn test_butterfly_network() -> DagResult<()> {
let dag = DagRunner::new();
// Simplified butterfly network - avoid tuples entirely
// Layer 0: inputs
let inputs: Vec<_> = (0..8)
.map(|i| {
dag.add_task(task_fn::<(), _, _>(move |_: ()| i as f64))
.into()
})
.collect();
// Layer 1: butterfly operations (compute pairs separately)
let mut layer1 = Vec::new();
for i in 0..4 {
let idx1 = i * 2;
let idx2 = i * 2 + 1;
// Sum operation
layer1.push(
dag.add_task(task_fn::<(f64, f64), _, _>(|(a, b): (&f64, &f64)| {
(a + b) / 2.0
}))
.depends_on((&inputs[idx1], &inputs[idx2])),
);
// Difference operation
layer1.push(
dag.add_task(task_fn::<(f64, f64), _, _>(|(a, b): (&f64, &f64)| {
(a - b) / 2.0
}))
.depends_on((&inputs[idx1], &inputs[idx2])),
);
}
// Layer 2: crossover connections
let layer2: Vec<_> = vec![
dag.add_task(task_fn::<(f64, f64), _, _>(|(a, b): (&f64, &f64)| a + b))
.depends_on((&layer1[0], &layer1[4])),
dag.add_task(task_fn::<(f64, f64), _, _>(|(a, b): (&f64, &f64)| a - b))
.depends_on((&layer1[1], &layer1[5])),
dag.add_task(task_fn::<(f64, f64), _, _>(|(a, b): (&f64, &f64)| a + b))
.depends_on((&layer1[2], &layer1[6])),
dag.add_task(task_fn::<(f64, f64), _, _>(|(a, b): (&f64, &f64)| a - b))
.depends_on((&layer1[3], &layer1[7])),
];
dag.run(|fut| async move { tokio::spawn(fut).await.unwrap() })
.await?;
// Verify some outputs exist
for task in &layer2 {
let _ = dag.get(task)?;
}
Ok(())
}
#[tokio::test]
async fn test_recursive_butterfly() -> DagResult<()> {
let dag = DagRunner::new();
fn build_butterfly(
dag: &DagRunner,
inputs: Vec<dagx::TaskHandle<i32>>,
) -> Vec<dagx::TaskHandle<i32>> {
if inputs.len() <= 2 {
return inputs;
}
let mid = inputs.len() / 2;
let mut outputs = Vec::new();
// Butterfly connections
for i in 0..mid {
let sum = dag
.add_task(task_fn::<(i32, i32), _, _>(|(a, b): (&i32, &i32)| a + b))
.depends_on((&inputs[i], &inputs[i + mid]));
let diff = dag
.add_task(task_fn::<(i32, i32), _, _>(|(a, b): (&i32, &i32)| {
(a - b).abs()
}))
.depends_on((&inputs[i], &inputs[i + mid]));
outputs.push(sum);
outputs.push(diff);
}
outputs
}
// Create 4 inputs
let inputs: Vec<dagx::TaskHandle<i32>> = vec![10, 20, 30, 40]
.into_iter()
.map(|val| {
let task = dag.add_task(task_fn::<(), _, _>(move |_: ()| val));
task.into()
})
.collect();
let outputs = build_butterfly(&dag, inputs);
dag.run(|fut| async move { tokio::spawn(fut).await.unwrap() })
.await?;
assert_eq!(outputs.len(), 4);
for output in outputs {
let _ = dag.get(output)?;
}
Ok(())
}
#[tokio::test]
async fn test_benes_network() -> DagResult<()> {
// Simplified Benes network - avoid tuples
let dag = DagRunner::new();
// 4 inputs
let inputs: Vec<_> = (0..4)
.map(|i| {
dag.add_task(task_fn::<(), _, _>(move |_: ()| 1 << i))
.into()
}) // Powers of 2
.collect();
// First stage: sort pairs
let stage1: Vec<_> = vec![
dag.add_task(task_fn::<(i32, i32), _, _>(|(&a, &b): (&i32, &i32)| {
a.min(b)
}))
.depends_on((&inputs[0], &inputs[1])),
dag.add_task(task_fn::<(i32, i32), _, _>(|(&a, &b): (&i32, &i32)| {
a.max(b)
}))
.depends_on((&inputs[0], &inputs[1])),
dag.add_task(task_fn::<(i32, i32), _, _>(|(&a, &b): (&i32, &i32)| {
a.min(b)
}))
.depends_on((&inputs[2], &inputs[3])),
dag.add_task(task_fn::<(i32, i32), _, _>(|(&a, &b): (&i32, &i32)| {
a.max(b)
}))
.depends_on((&inputs[2], &inputs[3])),
];
// Second stage with crossover
let outputs: Vec<_> = vec![
dag.add_task(task_fn::<(i32, i32), _, _>(|(a, b): (&i32, &i32)| a | b))
.depends_on((&stage1[0], &stage1[2])),
dag.add_task(task_fn::<(i32, i32), _, _>(|(a, b): (&i32, &i32)| a | b))
.depends_on((&stage1[1], &stage1[3])),
];
dag.run(|fut| async move { tokio::spawn(fut).await.unwrap() })
.await?;
for output in outputs {
let _ = dag.get(output)?;
}
Ok(())
}
#[tokio::test]
async fn test_shuffle_exchange_network() -> DagResult<()> {
let dag = DagRunner::new();
let counter = Arc::new(AtomicUsize::new(0));
// Create 8 inputs
let inputs: Vec<TaskHandle<_>> = (0..8)
.map(|i| {
let counter = counter.clone();
dag.add_task(task_fn::<(), _, _>(move |_: ()| {
let counter = counter.clone();
counter.fetch_add(1, Ordering::Relaxed);
i
}))
.into()
})
.collect();
// Shuffle stage: bit rotation
let shuffled: Vec<_> = (0..8)
.map(|i| {
// Shuffle pattern: rotate bits
let source = ((i << 1) | (i >> 2)) & 0x7;
dag.add_task(task_fn::<i32, _, _>(move |&x: &i32| x))
.depends_on(inputs[source])
})
.collect();
// Exchange stage: adjacent pairs
let exchanged: Vec<_> = (0..4)
.flat_map(|i| {
let idx = i * 2;
vec![
dag.add_task(task_fn::<(i32, i32), _, _>(
|(&a, &b): (&i32, &i32)| if a > b { b } else { a },
))
.depends_on((&shuffled[idx], &shuffled[idx + 1])),
dag.add_task(task_fn::<(i32, i32), _, _>(
|(&a, &b): (&i32, &i32)| if a > b { a } else { b },
))
.depends_on((&shuffled[idx], &shuffled[idx + 1])),
]
})
.collect();
dag.run(|fut| async move { tokio::spawn(fut).await.unwrap() })
.await?;
assert_eq!(counter.load(Ordering::Relaxed), 8);
for task in exchanged {
let _ = dag.get(task)?;
}
Ok(())
}