Struct hashbrown::hash_map::rayon::ParIterMut

pub struct ParIterMut<'a, K, V, S> { /* fields omitted */ }

Parallel iterator over mutable references to entries in a map.

This iterator is created by the par_iter_mut method on HashMap (provided by the IntoParallelRefMutIterator trait). See its documentation for more.

Trait Implementations

impl<K: Debug + Eq + Hash, V: Debug, S: BuildHasher, '_> Debug for ParIterMut<'_, K, V, S>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'a, K: Send + Sync, V: Send, S: Send> ParallelIterator for ParIterMut<'a, K, V, S>

type Item = (&'a K, &'a mut V)

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.

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.

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

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

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.

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

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

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

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

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

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

fn count(self) -> usize

Counts the number of items in this parallel iterator.

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.

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

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

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,
    INIT: Fn() -> T + Sync + Send,
    R: Send, 

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

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().

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().

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.

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.

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.

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.

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 iterators, producing a new iterator that flattens these back into one.

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

An adaptor that flattens iterable Items into one large iterator

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).

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.

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().

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.

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

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

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

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,
    ID: Fn() -> T + Sync + Send,
    R: Try<Ok = T> + Send, 

Performs a fallible parallel fold.

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

Performs a fallible parallel fold with a cloneable init value.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

fn panic_fuse(self) -> PanicFuse<Self>

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

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

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

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

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

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

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.

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

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

Intersperses clones of an element between items of this iterator.

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.