Struct hashbrown::raw::rayon::RawParDrain

pub struct RawParDrain<'a, T> { /* fields omitted */ }

Parallel iterator which consumes elements without freeing the table storage.

Trait Implementations

impl<T> Drop for RawParDrain<'_, T>

fn drop(&mut self)

Executes the destructor for this type.

impl<T: Send> ParallelIterator for RawParDrain<'_, T>

type Item = T

The type of item that this parallel iterator produces. For example, if you use the for_each method, this is the type of item that your closure will be invoked with.

fn drive_unindexed<C>(self, consumer: C) -> C::Result where
    C: UnindexedConsumer<Self::Item>, 

Internal method used to define the behavior of this parallel iterator. You should not need to call this directly.

pub fn for_each<OP>(self, op: OP) where
    OP: Fn(Self::Item) + Sync + Send, 

Executes OP on each item produced by the iterator, in parallel.

pub fn for_each_with<OP, T>(self, init: T, op: OP) where
    T: Send + Clone,
    OP: Fn(&mut T, Self::Item) + Sync + Send, 

Executes OP on the given init value with each item produced by the iterator, in parallel.

pub fn for_each_init<OP, INIT, T>(self, init: INIT, op: OP) where
    INIT: Fn() -> T + Sync + Send,
    OP: Fn(&mut T, Self::Item) + Sync + Send, 

Executes OP on a value returned by init with each item produced by the iterator, in parallel.

pub fn try_for_each<OP, R>(self, op: OP) -> R where
    R: Try<Ok = ()> + Send,
    OP: Fn(Self::Item) -> R + Sync + Send, 

Executes a fallible OP on each item produced by the iterator, in parallel.

pub fn try_for_each_with<OP, T, R>(self, init: T, op: OP) -> R where
    T: Send + Clone,
    R: Try<Ok = ()> + Send,
    OP: Fn(&mut T, Self::Item) -> R + Sync + Send, 

Executes a fallible OP on the given init value with each item produced by the iterator, in parallel.

pub fn try_for_each_init<OP, INIT, T, R>(self, init: INIT, op: OP) -> R where
    R: Try<Ok = ()> + Send,
    INIT: Fn() -> T + Sync + Send,
    OP: Fn(&mut T, Self::Item) -> R + Sync + Send, 

Executes a fallible OP on a value returned by init with each item produced by the iterator, in parallel.

pub fn count(self) -> usize

Counts the number of items in this parallel iterator.

pub fn map<F, R>(self, map_op: F) -> Map<Self, F> where
    F: Fn(Self::Item) -> R + Sync + Send,
    R: Send, 

Applies map_op to each item of this iterator, producing a new iterator with the results.

pub fn map_with<F, T, R>(self, init: T, map_op: F) -> MapWith<Self, T, F> where
    T: Send + Clone,
    F: Fn(&mut T, Self::Item) -> R + Sync + Send,
    R: Send, 

Applies map_op to the given init value with each item of this iterator, producing a new iterator with the results.

pub fn map_init<F, INIT, T, R>(
    self,
    init: INIT,
    map_op: F
) -> MapInit<Self, INIT, F> where
    F: Fn(&mut T, Self::Item) -> R + Sync + Send,
    R: Send,
    INIT: Fn() -> T + Sync + Send, 

Applies map_op to a value returned by init with each item of this iterator, producing a new iterator with the results.

pub fn cloned<'a, T>(self) -> Cloned<Self> where
    Self: ParallelIterator<Item = &'a T>,
    T: 'a + Clone + Send, 

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T, and that type implements Clone. See also copied().

pub fn copied<'a, T>(self) -> Copied<Self> where
    Self: ParallelIterator<Item = &'a T>,
    T: 'a + Copy + Send, 

Creates an iterator which copies all of its elements. This may be useful when you have an iterator over &T, but you need T, and that type implements Copy. See also cloned().

pub fn inspect<OP>(self, inspect_op: OP) -> Inspect<Self, OP> where
    OP: Fn(&Self::Item) + Sync + Send, 

Applies inspect_op to a reference to each item of this iterator, producing a new iterator passing through the original items. This is often useful for debugging to see what’s happening in iterator stages.

pub fn update<F>(self, update_op: F) -> Update<Self, F> where
    F: Fn(&mut Self::Item) + Sync + Send, 

Mutates each item of this iterator before yielding it.

pub fn filter<P>(self, filter_op: P) -> Filter<Self, P> where
    P: Fn(&Self::Item) -> bool + Sync + Send, 

Applies filter_op to each item of this iterator, producing a new iterator with only the items that gave true results.

pub fn filter_map<P, R>(self, filter_op: P) -> FilterMap<Self, P> where
    P: Fn(Self::Item) -> Option<R> + Sync + Send,
    R: Send, 

Applies filter_op to each item of this iterator to get an Option, producing a new iterator with only the items from Some results.

pub fn flat_map<F, PI>(self, map_op: F) -> FlatMap<Self, F> where
    F: Fn(Self::Item) -> PI + Sync + Send,
    PI: IntoParallelIterator, 

Applies map_op to each item of this iterator to get nested parallel iterators, producing a new parallel iterator that flattens these back into one.

pub fn flat_map_iter<F, SI>(self, map_op: F) -> FlatMapIter<Self, F> where
    F: Fn(Self::Item) -> SI + Sync + Send,
    SI: IntoIterator,
    <SI as IntoIterator>::Item: Send, 

Applies map_op to each item of this iterator to get nested serial iterators, producing a new parallel iterator that flattens these back into one.

pub fn flatten(self) -> Flatten<Self> where
    Self::Item: IntoParallelIterator, 

An adaptor that flattens parallel-iterable Items into one large iterator.

pub fn flatten_iter(self) -> FlattenIter<Self> where
    Self::Item: IntoIterator,
    <Self::Item as IntoIterator>::Item: Send, 

An adaptor that flattens serial-iterable Items into one large iterator.

pub fn reduce<OP, ID>(self, identity: ID, op: OP) -> Self::Item where
    ID: Fn() -> Self::Item + Sync + Send,
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync + Send, 

Reduces the items in the iterator into one item using op. The argument identity should be a closure that can produce “identity” value which may be inserted into the sequence as needed to create opportunities for parallel execution. So, for example, if you are doing a summation, then identity() ought to produce something that represents the zero for your type (but consider just calling sum() in that case).

pub fn reduce_with<OP>(self, op: OP) -> Option<Self::Item> where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync + Send, 

Reduces the items in the iterator into one item using op. If the iterator is empty, None is returned; otherwise, Some is returned.

pub fn try_reduce<T, OP, ID>(self, identity: ID, op: OP) -> Self::Item where
    ID: Fn() -> T + Sync + Send,
    OP: Fn(T, T) -> Self::Item + Sync + Send,
    Self::Item: Try,
    <Self::Item as Try>::Ok == T, 

Reduces the items in the iterator into one item using a fallible op. The identity argument is used the same way as in reduce().

pub fn try_reduce_with<T, OP>(self, op: OP) -> Option<Self::Item> where
    OP: Fn(T, T) -> Self::Item + Sync + Send,
    Self::Item: Try,
    <Self::Item as Try>::Ok == T, 

Reduces the items in the iterator into one item using a fallible op.

pub fn fold<T, ID, F>(self, identity: ID, fold_op: F) -> Fold<Self, ID, F> where
    T: Send,
    F: Fn(T, Self::Item) -> T + Sync + Send,
    ID: Fn() -> T + Sync + Send, 

Parallel fold is similar to sequential fold except that the sequence of items may be subdivided before it is folded. Consider a list of numbers like 22 3 77 89 46. If you used sequential fold to add them (fold(0, |a,b| a+b), you would wind up first adding 0 + 22, then 22 + 3, then 25 + 77, and so forth. The parallel fold works similarly except that it first breaks up your list into sublists, and hence instead of yielding up a single sum at the end, it yields up multiple sums. The number of results is nondeterministic, as is the point where the breaks occur.

pub fn fold_with<F, T>(self, init: T, fold_op: F) -> FoldWith<Self, T, F> where
    T: Send + Clone,
    F: Fn(T, Self::Item) -> T + Sync + Send, 

Applies fold_op to the given init value with each item of this iterator, finally producing the value for further use.

pub fn try_fold<T, R, ID, F>(
    self,
    identity: ID,
    fold_op: F
) -> TryFold<Self, R, ID, F> where
    F: Fn(T, Self::Item) -> R + Sync + Send,
    R: Try<Ok = T> + Send,
    ID: Fn() -> T + Sync + Send, 

Performs a fallible parallel fold.

pub fn try_fold_with<F, T, R>(
    self,
    init: T,
    fold_op: F
) -> TryFoldWith<Self, R, F> where
    T: Clone + Send,
    F: Fn(T, Self::Item) -> R + Sync + Send,
    R: Try<Ok = T> + Send, 

Performs a fallible parallel fold with a cloneable init value.

pub fn sum<S>(self) -> S where
    S: Send + Sum<Self::Item> + Sum<S>, 

Sums up the items in the iterator.

pub fn product<P>(self) -> P where
    P: Send + Product<Self::Item> + Product<P>, 

Multiplies all the items in the iterator.

pub fn min(self) -> Option<Self::Item> where
    Self::Item: Ord, 

Computes the minimum of all the items in the iterator. If the iterator is empty, None is returned; otherwise, Some(min) is returned.

pub fn min_by<F>(self, f: F) -> Option<Self::Item> where
    F: Sync + Send + Fn(&Self::Item, &Self::Item) -> Ordering, 

Computes the minimum of all the items in the iterator with respect to the given comparison function. If the iterator is empty, None is returned; otherwise, Some(min) is returned.

pub fn min_by_key<K, F>(self, f: F) -> Option<Self::Item> where
    F: Sync + Send + Fn(&Self::Item) -> K,
    K: Ord + Send, 

Computes the item that yields the minimum value for the given function. If the iterator is empty, None is returned; otherwise, Some(item) is returned.

pub fn max(self) -> Option<Self::Item> where
    Self::Item: Ord, 

Computes the maximum of all the items in the iterator. If the iterator is empty, None is returned; otherwise, Some(max) is returned.

pub fn max_by<F>(self, f: F) -> Option<Self::Item> where
    F: Sync + Send + Fn(&Self::Item, &Self::Item) -> Ordering, 

Computes the maximum of all the items in the iterator with respect to the given comparison function. If the iterator is empty, None is returned; otherwise, Some(min) is returned.

pub fn max_by_key<K, F>(self, f: F) -> Option<Self::Item> where
    F: Sync + Send + Fn(&Self::Item) -> K,
    K: Ord + Send, 

Computes the item that yields the maximum value for the given function. If the iterator is empty, None is returned; otherwise, Some(item) is returned.

pub fn chain<C>(
    self,
    chain: C
) -> Chain<Self, <C as IntoParallelIterator>::Iter> where
    C: IntoParallelIterator<Item = Self::Item>, 

Takes two iterators and creates a new iterator over both.

pub fn find_any<P>(self, predicate: P) -> Option<Self::Item> where
    P: Fn(&Self::Item) -> bool + Sync + Send, 

Searches for some item in the parallel iterator that matches the given predicate and returns it. This operation is similar to find on sequential iterators but the item returned may not be the first one in the parallel sequence which matches, since we search the entire sequence in parallel.

pub fn find_first<P>(self, predicate: P) -> Option<Self::Item> where
    P: Fn(&Self::Item) -> bool + Sync + Send, 

Searches for the sequentially first item in the parallel iterator that matches the given predicate and returns it.

pub fn find_last<P>(self, predicate: P) -> Option<Self::Item> where
    P: Fn(&Self::Item) -> bool + Sync + Send, 

Searches for the sequentially last item in the parallel iterator that matches the given predicate and returns it.

pub fn find_map_any<P, R>(self, predicate: P) -> Option<R> where
    P: Fn(Self::Item) -> Option<R> + Sync + Send,
    R: Send, 

Applies the given predicate to the items in the parallel iterator and returns any non-None result of the map operation.

pub fn find_map_first<P, R>(self, predicate: P) -> Option<R> where
    P: Fn(Self::Item) -> Option<R> + Sync + Send,
    R: Send, 

Applies the given predicate to the items in the parallel iterator and returns the sequentially first non-None result of the map operation.

pub fn find_map_last<P, R>(self, predicate: P) -> Option<R> where
    P: Fn(Self::Item) -> Option<R> + Sync + Send,
    R: Send, 

Applies the given predicate to the items in the parallel iterator and returns the sequentially last non-None result of the map operation.

pub fn any<P>(self, predicate: P) -> bool where
    P: Fn(Self::Item) -> bool + Sync + Send, 

Searches for some item in the parallel iterator that matches the given predicate, and if so returns true. Once a match is found, we’ll attempt to stop process the rest of the items. Proving that there’s no match, returning false, does require visiting every item.

pub fn all<P>(self, predicate: P) -> bool where
    P: Fn(Self::Item) -> bool + Sync + Send, 

Tests that every item in the parallel iterator matches the given predicate, and if so returns true. If a counter-example is found, we’ll attempt to stop processing more items, then return false.

pub fn while_some<T>(self) -> WhileSome<Self> where
    Self: ParallelIterator<Item = Option<T>>,
    T: Send, 

Creates an iterator over the Some items of this iterator, halting as soon as any None is found.

pub fn panic_fuse(self) -> PanicFuse<Self>

Wraps an iterator with a fuse in case of panics, to halt all threads as soon as possible.

pub fn collect<C>(self) -> C where
    C: FromParallelIterator<Self::Item>, 

Creates a fresh collection containing all the elements produced by this parallel iterator.

pub fn unzip<A, B, FromA, FromB>(self) -> (FromA, FromB) where
    Self: ParallelIterator<Item = (A, B)>,
    A: Send,
    B: Send,
    FromB: Default + Send + ParallelExtend<B>,
    FromA: Default + Send + ParallelExtend<A>, 

Unzips the items of a parallel iterator into a pair of arbitrary ParallelExtend containers.

pub fn partition<A, B, P>(self, predicate: P) -> (A, B) where
    P: Fn(&Self::Item) -> bool + Sync + Send,
    A: Default + Send + ParallelExtend<Self::Item>,
    B: Default + Send + ParallelExtend<Self::Item>, 

Partitions the items of a parallel iterator into a pair of arbitrary ParallelExtend containers. Items for which the predicate returns true go into the first container, and the rest go into the second.

pub fn partition_map<A, B, P, L, R>(self, predicate: P) -> (A, B) where
    P: Fn(Self::Item) -> Either<L, R> + Sync + Send,
    A: Default + Send + ParallelExtend<L>,
    B: Default + Send + ParallelExtend<R>,
    R: Send,
    L: Send, 

Partitions and maps the items of a parallel iterator into a pair of arbitrary ParallelExtend containers. Either::Left items go into the first container, and Either::Right items go into the second.

pub fn intersperse(self, element: Self::Item) -> Intersperse<Self> where
    Self::Item: Clone, 

Intersperses clones of an element between items of this iterator.

pub fn opt_len(&self) -> Option<usize>

Internal method used to define the behavior of this parallel iterator. You should not need to call this directly.

impl<T> Send for RawParDrain<'_, T>