Migrate 25 crates to monorepo

async-stream
async-stream-impl
async-task
async-trait
atomic
atty
axum
bencher
bincode
bitreader
bstr
buddy_system_allocator
byteorder
bytes
camino
cast
cesu8
cexpr
cfg-if
ciborium
ciborium-io
ciborium-ll
clap_complete
clap_derive
clap_lex

Bug: 339424309
Test: treehugger
Change-Id: I13ffbdc10522da818c1517c8f4ce8c051cb0bce0
3 files changed
tree: 592703c6d9f929b9ca10de66603dcb156beb8f20
  1. benches/
  2. examples/
  3. src/
  4. tests/
  5. .cargo_vcs_info.json
  6. .gitignore
  7. Android.bp
  8. Cargo.toml
  9. Cargo.toml.orig
  10. CHANGELOG.md
  11. LICENSE-APACHE
  12. LICENSE-MIT
  13. METADATA
  14. MODULE_LICENSE_APACHE2
  15. README.md
README.md

async-task

Build License Cargo Documentation

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.

License

Licensed under either of

at your option.

Contribution

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.