Fix doc_markdown lints in bevy_tasks (#3481)
#3457 adds the `doc_markdown` clippy lint, which checks doc comments to make sure code identifiers are escaped with backticks. This causes a lot of lint errors, so this is one of a number of PR's that will fix those lint errors one crate at a time. This PR fixes lints in the `bevy_tasks` crate.
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@ -21,7 +21,7 @@ pub struct CountdownEvent {
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}
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impl CountdownEvent {
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/// Creates a CountdownEvent that must be decremented `n` times for listeners to be
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/// Creates a [`CountdownEvent`] that must be decremented `n` times for listeners to be
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/// signalled
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pub fn new(n: isize) -> Self {
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let inner = CountdownEventInner {
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@ -3,14 +3,14 @@ use crate::TaskPool;
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mod adapters;
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pub use adapters::*;
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/// ParallelIterator closely emulates the std::iter::Iterator
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/// interface. However, it uses bevy_task to compute batches in parallel.
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/// [`ParallelIterator`] closely emulates the `std::iter::Iterator`
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/// interface. However, it uses `bevy_task` to compute batches in parallel.
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///
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/// Note that the overhead of ParallelIterator is high relative to some
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/// Note that the overhead of [`ParallelIterator`] is high relative to some
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/// workloads. In particular, if the batch size is too small or task being
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/// run in parallel is inexpensive, *a ParallelIterator could take longer
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/// than a normal Iterator*. Therefore, you should profile your code before
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/// using ParallelIterator.
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/// run in parallel is inexpensive, *a [`ParallelIterator`] could take longer
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/// than a normal [`Iterator`]*. Therefore, you should profile your code before
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/// using [`ParallelIterator`].
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pub trait ParallelIterator<B>
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where
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B: Iterator<Item = Self::Item> + Send,
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@ -21,7 +21,7 @@ where
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/// Returns the next batch of items for processing.
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///
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/// Each batch is an iterator with items of the same type as the
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/// ParallelIterator. Returns `None` when there are no batches left.
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/// [`ParallelIterator`]. Returns `None` when there are no batches left.
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fn next_batch(&mut self) -> Option<B>;
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/// Returns the bounds on the remaining number of items in the
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@ -12,12 +12,12 @@ use std::{
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/// more gracefully and wait until it stops running, use the [`cancel()`][Task::cancel()] method.
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///
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/// Tasks that panic get immediately canceled. Awaiting a canceled task also causes a panic.
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/// Wraps async_executor::Task
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/// Wraps `async_executor::Task`
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#[derive(Debug)]
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pub struct Task<T>(async_executor::Task<T>);
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impl<T> Task<T> {
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/// Creates a new task from a given async_executor::Task
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/// Creates a new task from a given `async_executor::Task`
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pub fn new(task: async_executor::Task<T>) -> Self {
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Self(task)
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}
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@ -10,7 +10,7 @@ use futures_lite::{future, pin};
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use crate::Task;
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/// Used to create a TaskPool
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/// Used to create a [`TaskPool`]
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#[derive(Debug, Default, Clone)]
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pub struct TaskPoolBuilder {
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/// If set, we'll set up the thread pool to use at most n threads. Otherwise use
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@ -24,7 +24,7 @@ pub struct TaskPoolBuilder {
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}
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impl TaskPoolBuilder {
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/// Creates a new TaskPoolBuilder instance
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/// Creates a new [`TaskPoolBuilder`] instance
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pub fn new() -> Self {
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Self::default()
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}
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@ -43,13 +43,13 @@ impl TaskPoolBuilder {
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}
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/// Override the name of the threads created for the pool. If set, threads will
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/// be named <thread_name> (<thread_index>), i.e. "MyThreadPool (2)"
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/// be named `<thread_name> (<thread_index>)`, i.e. `MyThreadPool (2)`
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pub fn thread_name(mut self, thread_name: String) -> Self {
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self.thread_name = Some(thread_name);
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self
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}
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/// Creates a new ThreadPoolBuilder based on the current options.
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/// Creates a new [`TaskPool`] based on the current options.
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pub fn build(self) -> TaskPool {
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TaskPool::new_internal(
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self.num_threads,
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@ -156,7 +156,7 @@ impl TaskPool {
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self.inner.threads.len()
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}
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/// Allows spawning non-`static futures on the thread pool. The function takes a callback,
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/// Allows spawning non-`'static` futures on the thread pool. The function takes a callback,
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/// passing a scope object into it. The scope object provided to the callback can be used
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/// to spawn tasks. This function will await the completion of all tasks before returning.
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///
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@ -1,9 +1,9 @@
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//! Definitions for a few common task pools that we want. Generally the determining factor for what
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//! kind of work should go in each pool is latency requirements.
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//!
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//! For CPU-intensive work (tasks that generally spin until completion) we have a standard Compute
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//! pool and an AsyncCompute pool. Work that does not need to be completed to present the next
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//! frame should go to the AsyncCompute pool
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//! For CPU-intensive work (tasks that generally spin until completion) we have a standard
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//! [`ComputeTaskPool`] and an [`AsyncComputeTaskPool`]. Work that does not need to be completed to
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//! present the next frame should go to the [`AsyncComputeTaskPool`]
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//!
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//! For IO-intensive work (tasks that spend very little time in a "woken" state) we have an IO
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//! task pool. The tasks here are expected to complete very quickly. Generally they should just
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