| commit | b7699de3f38e6f21edaae728e7ab20e95eff89ef | [log] [tgz] |
|---|---|---|
| author | Wei Li <weiwli@google.com> | Tue Jul 30 02:50:42 2024 +0000 |
| committer | Automerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com> | Tue Jul 30 02:50:42 2024 +0000 |
| tree | 29e18deab09288f9026364f6c0acd00e0fa08acc | |
| parent | c55ccc0ec60824bb750f90a41bfbf229995a1cf9 [diff] | |
| parent | 4ee9c3937b90217e510b4158d76534ff10fc9ab2 [diff] |
Cleanup license metadata in external/rust/crates/async-task. am: 4ee9c3937b Original change: https://android-review.googlesource.com/c/platform/external/rust/crates/async-task/+/3194638 Change-Id: Icf4cf379f6c4e18788cdbb9f58c6a4dad8af06c5 Signed-off-by: Automerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>
Task abstraction for building executors.
To spawn a future onto an executor, we first need to allocate it on the heap and keep some state attached to it. The state indicates whether the future is ready for polling, waiting to be woken up, or completed. Such a stateful future is called a task.
All executors have a queue that holds scheduled tasks:
let (sender, receiver) = flume::unbounded();
A task is created using either spawn(), spawn_local(), or spawn_unchecked() which return a Runnable and a Task:
// A future that will be spawned. let future = async { 1 + 2 }; // A function that schedules the task when it gets woken up. let schedule = move |runnable| sender.send(runnable).unwrap(); // Construct a task. let (runnable, task) = async_task::spawn(future, schedule); // Push the task into the queue by invoking its schedule function. runnable.schedule();
The Runnable is used to poll the task's future, and the Task is used to await its output.
Finally, we need a loop that takes scheduled tasks from the queue and runs them:
for runnable in receiver { runnable.run(); }
Method run() polls the task's future once. Then, the Runnable vanishes and only reappears when its Waker wakes the task, thus scheduling it to be run again.
Licensed under either of
at your option.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.