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chore: clean up in preparation for release

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TechnoPorg committed 2026-02-18 22:34:31 +01:00
1 parent c002161216
commit 827041c1b6
28 files changed
+112 -219
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examples/04_parallel_computation.rs
+9 -9
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@@ -52,7 +52,7 @@
//! This proves dagx runs tasks on multiple CPU cores simultaneously.
//! ```
use dagx::{task, DagResult, DagRunner, Task, TaskInput};
use dagx::{task, DagResult, DagRunner};
use std::time::{Duration, Instant};
use tokio::time::sleep;
@@ -149,15 +149,15 @@ async fn main() -> DagResult<()> {
let start = Instant::now();
// Run tasks sequentially (not using DAG, just raw execution)
let task1 = ComputeSum::new(1, 251, WORK_DELAY);
let task2 = ComputeSum::new(251, 501, WORK_DELAY);
let task3 = ComputeSum::new(501, 751, WORK_DELAY);
let task4 = ComputeSum::new(751, 1001, WORK_DELAY);
let mut task1 = ComputeSum::new(1, 251, WORK_DELAY);
let mut task2 = ComputeSum::new(251, 501, WORK_DELAY);
let mut task3 = ComputeSum::new(501, 751, WORK_DELAY);
let mut task4 = ComputeSum::new(751, 1001, WORK_DELAY);
let r1 = task1.run(TaskInput::empty()).await;
let r2 = task2.run(TaskInput::empty()).await;
let r3 = task3.run(TaskInput::empty()).await;
let r4 = task4.run(TaskInput::empty()).await;
let r1 = task1.run_impl().await;
let r2 = task2.run_impl().await;
let r3 = task3.run_impl().await;
let r4 = task4.run_impl().await;
let result = r1 + r2 + r3 + r4;
let elapsed = start.elapsed();