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