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Trait bevy::tasks::prelude::ParallelIterator

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pub trait ParallelIterator<BatchIter>: Send where
    BatchIter: Iterator + Send, {

Show 32 methods    fn next_batch(&mut self) -> Option<BatchIter>;

    fn size_hint(&self) -> (usize, Option<usize>) { ... }
    fn count(self, pool: &TaskPool) -> usize { ... }
    fn last(self, _pool: &TaskPool) -> Option<<BatchIter as Iterator>::Item> { ... }
    fn nth(
        self, 
        _pool: &TaskPool, 
        n: usize
    ) -> Option<<BatchIter as Iterator>::Item> { ... }
    fn chain<U>(self, other: U) -> Chain<Self, U>
    where
        U: ParallelIterator<BatchIter>,
    { ... }
    fn map<T, F>(self, f: F) -> Map<Self, F>
    where
        F: FnMut(<BatchIter as Iterator>::Item) -> T + Send + Clone,
    { ... }
    fn for_each<F>(self, pool: &TaskPool, f: F)
    where
        F: FnMut(<BatchIter as Iterator>::Item) + Send + Clone + Sync,
    { ... }
    fn filter<F>(self, predicate: F) -> Filter<Self, F>
    where
        F: FnMut(&<BatchIter as Iterator>::Item) -> bool,
    { ... }
    fn filter_map<R, F>(self, f: F) -> FilterMap<Self, F>
    where
        F: FnMut(<BatchIter as Iterator>::Item) -> Option<R>,
    { ... }
    fn flat_map<U, F>(self, f: F) -> FlatMap<Self, F>
    where
        F: FnMut(<BatchIter as Iterator>::Item) -> U,
        U: IntoIterator,
    { ... }
    fn flatten(self) -> Flatten<Self>
    where
        <BatchIter as Iterator>::Item: IntoIterator,
    { ... }
    fn fuse(self) -> Fuse<Self> { ... }
    fn inspect<F>(self, f: F) -> Inspect<Self, F>
    where
        F: FnMut(&<BatchIter as Iterator>::Item),
    { ... }
    fn by_ref(&mut self) -> &mut Self { ... }
    fn collect<C>(self, pool: &TaskPool) -> C
    where
        C: FromIterator<<BatchIter as Iterator>::Item>,
        <BatchIter as Iterator>::Item: 'static,
        <BatchIter as Iterator>::Item: Send,
    { ... }
    fn partition<C, F>(self, pool: &TaskPool, f: F) -> (C, C)
    where
        C: Default + Extend<<BatchIter as Iterator>::Item> + Send,
        F: FnMut(&<BatchIter as Iterator>::Item) -> bool + Send + Sync + Clone,
        <BatchIter as Iterator>::Item: 'static,
        <BatchIter as Iterator>::Item: Send,
    { ... }
    fn fold<C, F, D>(self, pool: &TaskPool, init: C, f: F) -> Vec<C, Global>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A> where
    A: Allocator, 
    where
        F: FnMut(C, <BatchIter as Iterator>::Item) -> C + Send + Sync + Clone,
        C: 'static + Clone + Send + Sync,
    { ... }
    fn all<F>(self, pool: &TaskPool, f: F) -> bool
    where
        F: FnMut(<BatchIter as Iterator>::Item) -> bool + Send + Sync + Clone,
    { ... }
    fn any<F>(self, pool: &TaskPool, f: F) -> bool
    where
        F: FnMut(<BatchIter as Iterator>::Item) -> bool + Send + Sync + Clone,
    { ... }
    fn position<F>(self, pool: &TaskPool, f: F) -> Option<usize>
    where
        F: FnMut(<BatchIter as Iterator>::Item) -> bool + Send + Sync + Clone,
    { ... }
    fn max(self, pool: &TaskPool) -> Option<<BatchIter as Iterator>::Item>
    where
        <BatchIter as Iterator>::Item: 'static,
        <BatchIter as Iterator>::Item: Ord,
        <BatchIter as Iterator>::Item: Send,
    { ... }
    fn min(self, pool: &TaskPool) -> Option<<BatchIter as Iterator>::Item>
    where
        <BatchIter as Iterator>::Item: 'static,
        <BatchIter as Iterator>::Item: Ord,
        <BatchIter as Iterator>::Item: Send,
    { ... }
    fn max_by_key<R, F>(
        self, 
        pool: &TaskPool, 
        f: F
    ) -> Option<<BatchIter as Iterator>::Item>
    where
        R: Ord,
        F: FnMut(&<BatchIter as Iterator>::Item) -> R + Send + Sync + Clone,
        <BatchIter as Iterator>::Item: 'static,
        <BatchIter as Iterator>::Item: Send,
    { ... }
    fn max_by<F>(
        self, 
        pool: &TaskPool, 
        f: F
    ) -> Option<<BatchIter as Iterator>::Item>
    where
        F: FnMut(&<BatchIter as Iterator>::Item, &<BatchIter as Iterator>::Item) -> Ordering + Send + Sync + Clone,
        <BatchIter as Iterator>::Item: 'static,
        <BatchIter as Iterator>::Item: Send,
    { ... }
    fn min_by_key<R, F>(
        self, 
        pool: &TaskPool, 
        f: F
    ) -> Option<<BatchIter as Iterator>::Item>
    where
        R: Ord,
        F: FnMut(&<BatchIter as Iterator>::Item) -> R + Send + Sync + Clone,
        <BatchIter as Iterator>::Item: 'static,
        <BatchIter as Iterator>::Item: Send,
    { ... }
    fn min_by<F>(
        self, 
        pool: &TaskPool, 
        f: F
    ) -> Option<<BatchIter as Iterator>::Item>
    where
        F: FnMut(&<BatchIter as Iterator>::Item, &<BatchIter as Iterator>::Item) -> Ordering + Send + Sync + Clone,
        <BatchIter as Iterator>::Item: 'static,
        <BatchIter as Iterator>::Item: Send,
    { ... }
    fn copied<'a, T>(self) -> Copied<Self>
    where
        Self: ParallelIterator<BatchIter>,
        T: 'a + Copy,
    { ... }
    fn cloned<'a, T>(self) -> Cloned<Self>
    where
        Self: ParallelIterator<BatchIter>,
        T: 'a + Copy,
    { ... }
    fn cycle(self) -> Cycle<Self>
    where
        Self: Clone,
    { ... }
    fn sum<S, R>(self, pool: &TaskPool) -> R
    where
        S: 'static + Sum<<BatchIter as Iterator>::Item> + Send,
        R: Sum<S>,
    { ... }
    fn product<S, R>(self, pool: &TaskPool) -> R
    where
        S: 'static + Product<<BatchIter as Iterator>::Item> + Send,
        R: Product<S>,
    { ... }

}
Expand description

ParallelIterator closely emulates the std::iter::Iterator interface. However, it uses bevy_task to compute batches in parallel.

Note that the overhead of ParallelIterator is high relative to some workloads. In particular, if the batch size is too small or task being run in parallel is inexpensive, a ParallelIterator could take longer than a normal Iterator. Therefore, you should profile your code before using ParallelIterator.

Required Methods

Returns the next batch of items for processing.

Each batch is an iterator with items of the same type as the ParallelIterator. Returns None when there are no batches left.

Provided Methods

Returns the bounds on the remaining number of items in the parallel iterator.

See Iterator::size_hint()

Consumes the parallel iterator and returns the number of items.

See Iterator::count()

Consumes the parallel iterator and returns the last item.

See Iterator::last()

Consumes the parallel iterator and returns the nth item.

See Iterator::nth()

Takes two parallel iterators and returns a parallel iterators over both in sequence.

See Iterator::chain()

Takes a closure and creates a parallel iterator which calls that closure on each item.

See Iterator::map()

Calls a closure on each item of a parallel iterator.

See Iterator::for_each()

Creates a parallel iterator which uses a closure to determine if an element should be yielded.

See Iterator::filter()

Creates a parallel iterator that both filters and maps.

See Iterator::filter_map()

Creates a parallel iterator that works like map, but flattens nested structure.

See Iterator::flat_map()

Creates a parallel iterator that flattens nested structure.

See Iterator::flatten()

Creates a parallel iterator which ends after the first None.

See Iterator::fuse()

Does something with each item of a parallel iterator, passing the value on.

See Iterator::inspect()

Borrows a parallel iterator, rather than consuming it.

See Iterator::by_ref()

Transforms a parallel iterator into a collection.

See Iterator::collect()

Consumes a parallel iterator, creating two collections from it.

See Iterator::partition()

Repeatedly applies a function to items of each batch of a parallel iterator, producing a Vec of final values.

Note that this folds each batch independently and returns a Vec of results (in batch order).

See Iterator::fold()

Tests if every element of the parallel iterator matches a predicate.

Note that all is not short circuiting.

See Iterator::all()

Tests if any element of the parallel iterator matches a predicate.

Note that any is not short circuiting.

See Iterator::any()

Searches for an element in a parallel iterator, returning its index.

Note that position consumes the whole iterator.

See Iterator::position()

Returns the maximum item of a parallel iterator.

See Iterator::max()

Returns the minimum item of a parallel iterator.

See Iterator::min()

Returns the item that gives the maximum value from the specified function.

See Iterator::max_by_key()

Returns the item that gives the maximum value with respect to the specified comparison function.

See Iterator::max_by()

Returns the item that gives the minimum value from the specified function.

See Iterator::min_by_key()

Returns the item that gives the minimum value with respect to the specified comparison function.

See Iterator::min_by()

Creates a parallel iterator which copies all of its items.

See Iterator::copied()

Creates a parallel iterator which clones all of its items.

See Iterator::cloned()

Repeats a parallel iterator endlessly.

See Iterator::cycle()

Sums the items of a parallel iterator.

See Iterator::sum()

Multiplies all the items of a parallel iterator.

See Iterator::product()

Implementors