Struct rayon::par_iter::vec::VecIter

pub struct VecIter<T: Send> {
    // some fields omitted
}

Trait Implementations

impl<T: Send> ParallelIterator for VecIter<T>

type Item = T

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

fn weight(self, scale: f64) -> Weight<Self>

Indicates the relative "weight" of producing each item in this parallel iterator. A higher weight will cause finer-grained parallel subtasks. 1.0 indicates something very cheap and uniform, like copying a value out of an array, or computing x + 1. If your tasks are either very expensive, or very unpredictable, you are better off with higher values. See also weight_max, which is a convenient shorthand to force the finest grained parallel execution posible. Tuning this value should not affect correctness but can improve (or hurt) performance.

fn weight_max(self) -> Weight<Self>

Shorthand for self.weight(f64::INFINITY). This forces the smallest granularity of parallel execution, which makes sense when your parallel tasks are (potentially) very expensive to execute.

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

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

fn map<MAP_OP, R>(self, map_op: MAP_OP) -> Map<Self, MAP_OP> where MAP_OP: Fn(Self::Item) -> R

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

fn filter<FILTER_OP>(self, filter_op: FILTER_OP) -> Filter<Self, FILTER_OP> where FILTER_OP: Fn(&Self::Item) -> bool

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

fn filter_map<FILTER_OP, R>(self, filter_op: FILTER_OP) -> FilterMap<Self, FILTER_OP> where FILTER_OP: Fn(Self::Item) -> Option<R>

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

fn flat_map<MAP_OP, PI>(self, map_op: MAP_OP) -> FlatMap<Self, MAP_OP> where MAP_OP: Fn(Self::Item) -> PI, PI: ParallelIterator

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

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

Reduces the items in the iterator into one item using op. See also sum, mul, min, etc, which are slightly more efficient. Returns None if the iterator is empty.

fn sum(self) -> Self::Item where SumOp: ReduceOp<Self::Item>

Sums up the items in the iterator.

fn mul(self) -> Self::Item where MulOp: ReduceOp<Self::Item>

Multiplies all the items in the iterator.

fn min(self) -> Self::Item where MinOp: ReduceOp<Self::Item>

Computes the minimum of all the items in the iterator.

fn max(self) -> Self::Item where MaxOp: ReduceOp<Self::Item>

Computes the maximum of all the items in the iterator.

fn reduce<REDUCE_OP>(self, reduce_op: &REDUCE_OP) -> Self::Item where REDUCE_OP: ReduceOp<Self::Item>

Reduces the items using the given "reduce operator". You may prefer reduce_with for a simpler interface.

impl<T: Send> BoundedParallelIterator for VecIter<T>

fn upper_bound(&mut self) -> usize

fn drive<C>(self, consumer: C) -> C::Result where C: Consumer<Self::Item>

impl<T: Send> ExactParallelIterator for VecIter<T>

fn len(&mut self) -> usize

Produces an exact count of how many items this iterator will produce, presuming no panic occurs.

fn collect_into(self, target: &mut Vec<Self::Item>)

Collects the results of the iterator into the specified vector. The vector is always truncated before execution begins. If possible, reusing the vector across calls can lead to better performance since it reuses the same backing buffer.

impl<T: Send> IndexedParallelIterator for VecIter<T>

fn with_producer<CB>(self, callback: CB) -> CB::Output where CB: ProducerCallback<Self::Item>

fn zip<ZIP_OP>(self, zip_op: ZIP_OP) -> ZipIter<Self, ZIP_OP::Iter> where ZIP_OP: IntoParallelIterator, ZIP_OP::Iter: IndexedParallelIterator

Iterate over tuples (A, B), where the items A are from this iterator and B are from the iterator given as argument. Like the zip method on ordinary iterators, if the two iterators are of unequal length, you only get the items they have in common.

fn enumerate(self) -> Enumerate<Self>

Yields an index along with each item.

impl<T: Send> Drop for VecIter<T>

fn drop(&mut self)

A method called when the value goes out of scope.