Struct rayon::range::Iter

pub struct Iter<T> { /* fields omitted */ }

Parallel iterator over a range

Trait Implementations

impl ParallelIterator for Iter<u8>

type Item = u8

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 opt_len(&mut self) -> Option<usize>

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

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

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

fn weight_max(self) -> Weight<Self>

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

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 count(self) -> usize

Counts the number of items in this parallel iterator.

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

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

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

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T.

fn inspect<OP>(self, inspect_op: OP) -> Map<Self, MapInspect<OP>> where
    OP: Fn(&Self::Item) + Sync, 

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

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

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, 

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

fn reduce_with_identity<OP>(self, identity: Self::Item, op: OP) -> Self::Item where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync,
    Self::Item: Clone + Sync, 

Deprecated since v0.5.0

: call reduce instead

Deprecated. Use reduce() instead.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

fn mul(self) -> Self::Item where
    Self::Item: Product, 

Deprecated since v0.6.0

: name changed to product() to match sequential iterators

DEPRECATED

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

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

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::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, 

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][find] 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, 

Searches for the 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, 

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

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

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, 

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

Create a fresh collection containing all the element produced by this parallel iterator.

impl BoundedParallelIterator for Iter<u8>

fn upper_bound(&mut self) -> usize

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

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

impl ExactParallelIterator for Iter<u8>

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 IndexedParallelIterator for Iter<u8>

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

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

fn zip<Z>(self, zip_op: Z) -> Zip<Self, Z::Iter> where
    Z: IntoParallelIterator,
    Z::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 cmp<I>(self, other: I) -> Ordering where
    I: IntoParallelIterator<Item = Self::Item>,
    I::Iter: IndexedParallelIterator,
    Self::Item: Ord, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn partial_cmp<I>(self, other: I) -> Option<Ordering> where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn eq<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are equal to those of another

fn ne<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are unequal to those of another

fn lt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically less than those of another.

fn le<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn gt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically greater than those of another.

fn ge<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn enumerate(self) -> Enumerate<Self>

Yields an index along with each item.

fn skip(self, n: usize) -> Skip<Self>

Creates an iterator that skips the first n elements.

fn take(self, n: usize) -> Take<Self>

Creates an iterator that yields the first n elements.

fn position_any<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for some item in the parallel iterator that matches the given predicate, and returns its index. Like ParallelIterator::find_any, the parallel search will not necessarily find the first match, and once a match is found we'll attempt to stop processing any more.

fn position_first<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the first item in the parallel iterator that matches the given predicate, and returns its index.

fn position_last<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the last item in the parallel iterator that matches the given predicate, and returns its index.

fn rev(self) -> Rev<Self>

Produces a new iterator with the elements of this iterator in reverse order.

fn with_min_len(self, min: usize) -> MinLen<Self>

Sets the minimum length of iterators desired to process in each thread. Rayon will not split any smaller than this length, but of course an iterator could already be smaller to begin with.

fn with_max_len(self, max: usize) -> MaxLen<Self>

Sets the maximum length of iterators desired to process in each thread. Rayon will try to split at least below this length, unless that would put it below the length from with_min_len(). For example, given min=10 and max=15, a length of 16 will not be split any further.

impl ParallelIterator for Iter<u16>

type Item = u16

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 opt_len(&mut self) -> Option<usize>

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

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

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

fn weight_max(self) -> Weight<Self>

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

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 count(self) -> usize

Counts the number of items in this parallel iterator.

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

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

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

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T.

fn inspect<OP>(self, inspect_op: OP) -> Map<Self, MapInspect<OP>> where
    OP: Fn(&Self::Item) + Sync, 

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

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

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, 

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

fn reduce_with_identity<OP>(self, identity: Self::Item, op: OP) -> Self::Item where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync,
    Self::Item: Clone + Sync, 

Deprecated since v0.5.0

: call reduce instead

Deprecated. Use reduce() instead.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

fn mul(self) -> Self::Item where
    Self::Item: Product, 

Deprecated since v0.6.0

: name changed to product() to match sequential iterators

DEPRECATED

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

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

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::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, 

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][find] 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, 

Searches for the 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, 

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

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

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, 

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

Create a fresh collection containing all the element produced by this parallel iterator.

impl BoundedParallelIterator for Iter<u16>

fn upper_bound(&mut self) -> usize

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

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

impl ExactParallelIterator for Iter<u16>

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 IndexedParallelIterator for Iter<u16>

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

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

fn zip<Z>(self, zip_op: Z) -> Zip<Self, Z::Iter> where
    Z: IntoParallelIterator,
    Z::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 cmp<I>(self, other: I) -> Ordering where
    I: IntoParallelIterator<Item = Self::Item>,
    I::Iter: IndexedParallelIterator,
    Self::Item: Ord, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn partial_cmp<I>(self, other: I) -> Option<Ordering> where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn eq<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are equal to those of another

fn ne<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are unequal to those of another

fn lt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically less than those of another.

fn le<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn gt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically greater than those of another.

fn ge<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn enumerate(self) -> Enumerate<Self>

Yields an index along with each item.

fn skip(self, n: usize) -> Skip<Self>

Creates an iterator that skips the first n elements.

fn take(self, n: usize) -> Take<Self>

Creates an iterator that yields the first n elements.

fn position_any<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for some item in the parallel iterator that matches the given predicate, and returns its index. Like ParallelIterator::find_any, the parallel search will not necessarily find the first match, and once a match is found we'll attempt to stop processing any more.

fn position_first<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the first item in the parallel iterator that matches the given predicate, and returns its index.

fn position_last<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the last item in the parallel iterator that matches the given predicate, and returns its index.

fn rev(self) -> Rev<Self>

Produces a new iterator with the elements of this iterator in reverse order.

fn with_min_len(self, min: usize) -> MinLen<Self>

Sets the minimum length of iterators desired to process in each thread. Rayon will not split any smaller than this length, but of course an iterator could already be smaller to begin with.

fn with_max_len(self, max: usize) -> MaxLen<Self>

Sets the maximum length of iterators desired to process in each thread. Rayon will try to split at least below this length, unless that would put it below the length from with_min_len(). For example, given min=10 and max=15, a length of 16 will not be split any further.

impl ParallelIterator for Iter<u32>

type Item = u32

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 opt_len(&mut self) -> Option<usize>

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

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

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

fn weight_max(self) -> Weight<Self>

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

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 count(self) -> usize

Counts the number of items in this parallel iterator.

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

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

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

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T.

fn inspect<OP>(self, inspect_op: OP) -> Map<Self, MapInspect<OP>> where
    OP: Fn(&Self::Item) + Sync, 

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

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

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, 

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

fn reduce_with_identity<OP>(self, identity: Self::Item, op: OP) -> Self::Item where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync,
    Self::Item: Clone + Sync, 

Deprecated since v0.5.0

: call reduce instead

Deprecated. Use reduce() instead.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

fn mul(self) -> Self::Item where
    Self::Item: Product, 

Deprecated since v0.6.0

: name changed to product() to match sequential iterators

DEPRECATED

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

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

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::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, 

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][find] 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, 

Searches for the 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, 

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

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

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, 

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

Create a fresh collection containing all the element produced by this parallel iterator.

impl BoundedParallelIterator for Iter<u32>

fn upper_bound(&mut self) -> usize

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

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

impl ExactParallelIterator for Iter<u32>

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 IndexedParallelIterator for Iter<u32>

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

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

fn zip<Z>(self, zip_op: Z) -> Zip<Self, Z::Iter> where
    Z: IntoParallelIterator,
    Z::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 cmp<I>(self, other: I) -> Ordering where
    I: IntoParallelIterator<Item = Self::Item>,
    I::Iter: IndexedParallelIterator,
    Self::Item: Ord, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn partial_cmp<I>(self, other: I) -> Option<Ordering> where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn eq<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are equal to those of another

fn ne<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are unequal to those of another

fn lt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically less than those of another.

fn le<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn gt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically greater than those of another.

fn ge<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn enumerate(self) -> Enumerate<Self>

Yields an index along with each item.

fn skip(self, n: usize) -> Skip<Self>

Creates an iterator that skips the first n elements.

fn take(self, n: usize) -> Take<Self>

Creates an iterator that yields the first n elements.

fn position_any<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for some item in the parallel iterator that matches the given predicate, and returns its index. Like ParallelIterator::find_any, the parallel search will not necessarily find the first match, and once a match is found we'll attempt to stop processing any more.

fn position_first<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the first item in the parallel iterator that matches the given predicate, and returns its index.

fn position_last<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the last item in the parallel iterator that matches the given predicate, and returns its index.

fn rev(self) -> Rev<Self>

Produces a new iterator with the elements of this iterator in reverse order.

fn with_min_len(self, min: usize) -> MinLen<Self>

Sets the minimum length of iterators desired to process in each thread. Rayon will not split any smaller than this length, but of course an iterator could already be smaller to begin with.

fn with_max_len(self, max: usize) -> MaxLen<Self>

Sets the maximum length of iterators desired to process in each thread. Rayon will try to split at least below this length, unless that would put it below the length from with_min_len(). For example, given min=10 and max=15, a length of 16 will not be split any further.

impl ParallelIterator for Iter<usize>

type Item = usize

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 opt_len(&mut self) -> Option<usize>

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

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

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

fn weight_max(self) -> Weight<Self>

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

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 count(self) -> usize

Counts the number of items in this parallel iterator.

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

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

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

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T.

fn inspect<OP>(self, inspect_op: OP) -> Map<Self, MapInspect<OP>> where
    OP: Fn(&Self::Item) + Sync, 

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

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

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, 

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

fn reduce_with_identity<OP>(self, identity: Self::Item, op: OP) -> Self::Item where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync,
    Self::Item: Clone + Sync, 

Deprecated since v0.5.0

: call reduce instead

Deprecated. Use reduce() instead.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

fn mul(self) -> Self::Item where
    Self::Item: Product, 

Deprecated since v0.6.0

: name changed to product() to match sequential iterators

DEPRECATED

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

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

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::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, 

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][find] 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, 

Searches for the 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, 

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

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

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, 

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

Create a fresh collection containing all the element produced by this parallel iterator.

impl BoundedParallelIterator for Iter<usize>

fn upper_bound(&mut self) -> usize

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

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

impl ExactParallelIterator for Iter<usize>

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 IndexedParallelIterator for Iter<usize>

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

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

fn zip<Z>(self, zip_op: Z) -> Zip<Self, Z::Iter> where
    Z: IntoParallelIterator,
    Z::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 cmp<I>(self, other: I) -> Ordering where
    I: IntoParallelIterator<Item = Self::Item>,
    I::Iter: IndexedParallelIterator,
    Self::Item: Ord, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn partial_cmp<I>(self, other: I) -> Option<Ordering> where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn eq<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are equal to those of another

fn ne<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are unequal to those of another

fn lt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically less than those of another.

fn le<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn gt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically greater than those of another.

fn ge<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn enumerate(self) -> Enumerate<Self>

Yields an index along with each item.

fn skip(self, n: usize) -> Skip<Self>

Creates an iterator that skips the first n elements.

fn take(self, n: usize) -> Take<Self>

Creates an iterator that yields the first n elements.

fn position_any<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for some item in the parallel iterator that matches the given predicate, and returns its index. Like ParallelIterator::find_any, the parallel search will not necessarily find the first match, and once a match is found we'll attempt to stop processing any more.

fn position_first<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the first item in the parallel iterator that matches the given predicate, and returns its index.

fn position_last<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the last item in the parallel iterator that matches the given predicate, and returns its index.

fn rev(self) -> Rev<Self>

Produces a new iterator with the elements of this iterator in reverse order.

fn with_min_len(self, min: usize) -> MinLen<Self>

Sets the minimum length of iterators desired to process in each thread. Rayon will not split any smaller than this length, but of course an iterator could already be smaller to begin with.

fn with_max_len(self, max: usize) -> MaxLen<Self>

Sets the maximum length of iterators desired to process in each thread. Rayon will try to split at least below this length, unless that would put it below the length from with_min_len(). For example, given min=10 and max=15, a length of 16 will not be split any further.

impl ParallelIterator for Iter<i8>

type Item = i8

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 opt_len(&mut self) -> Option<usize>

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

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

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

fn weight_max(self) -> Weight<Self>

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

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 count(self) -> usize

Counts the number of items in this parallel iterator.

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

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

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

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T.

fn inspect<OP>(self, inspect_op: OP) -> Map<Self, MapInspect<OP>> where
    OP: Fn(&Self::Item) + Sync, 

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

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

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, 

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

fn reduce_with_identity<OP>(self, identity: Self::Item, op: OP) -> Self::Item where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync,
    Self::Item: Clone + Sync, 

Deprecated since v0.5.0

: call reduce instead

Deprecated. Use reduce() instead.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

fn mul(self) -> Self::Item where
    Self::Item: Product, 

Deprecated since v0.6.0

: name changed to product() to match sequential iterators

DEPRECATED

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

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

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::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, 

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][find] 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, 

Searches for the 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, 

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

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

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, 

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

Create a fresh collection containing all the element produced by this parallel iterator.

impl BoundedParallelIterator for Iter<i8>

fn upper_bound(&mut self) -> usize

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

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

impl ExactParallelIterator for Iter<i8>

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 IndexedParallelIterator for Iter<i8>

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

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

fn zip<Z>(self, zip_op: Z) -> Zip<Self, Z::Iter> where
    Z: IntoParallelIterator,
    Z::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 cmp<I>(self, other: I) -> Ordering where
    I: IntoParallelIterator<Item = Self::Item>,
    I::Iter: IndexedParallelIterator,
    Self::Item: Ord, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn partial_cmp<I>(self, other: I) -> Option<Ordering> where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn eq<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are equal to those of another

fn ne<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are unequal to those of another

fn lt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically less than those of another.

fn le<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn gt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically greater than those of another.

fn ge<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn enumerate(self) -> Enumerate<Self>

Yields an index along with each item.

fn skip(self, n: usize) -> Skip<Self>

Creates an iterator that skips the first n elements.

fn take(self, n: usize) -> Take<Self>

Creates an iterator that yields the first n elements.

fn position_any<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for some item in the parallel iterator that matches the given predicate, and returns its index. Like ParallelIterator::find_any, the parallel search will not necessarily find the first match, and once a match is found we'll attempt to stop processing any more.

fn position_first<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the first item in the parallel iterator that matches the given predicate, and returns its index.

fn position_last<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the last item in the parallel iterator that matches the given predicate, and returns its index.

fn rev(self) -> Rev<Self>

Produces a new iterator with the elements of this iterator in reverse order.

fn with_min_len(self, min: usize) -> MinLen<Self>

Sets the minimum length of iterators desired to process in each thread. Rayon will not split any smaller than this length, but of course an iterator could already be smaller to begin with.

fn with_max_len(self, max: usize) -> MaxLen<Self>

Sets the maximum length of iterators desired to process in each thread. Rayon will try to split at least below this length, unless that would put it below the length from with_min_len(). For example, given min=10 and max=15, a length of 16 will not be split any further.

impl ParallelIterator for Iter<i16>

type Item = i16

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 opt_len(&mut self) -> Option<usize>

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

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

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

fn weight_max(self) -> Weight<Self>

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

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 count(self) -> usize

Counts the number of items in this parallel iterator.

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

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

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

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T.

fn inspect<OP>(self, inspect_op: OP) -> Map<Self, MapInspect<OP>> where
    OP: Fn(&Self::Item) + Sync, 

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

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

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, 

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

fn reduce_with_identity<OP>(self, identity: Self::Item, op: OP) -> Self::Item where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync,
    Self::Item: Clone + Sync, 

Deprecated since v0.5.0

: call reduce instead

Deprecated. Use reduce() instead.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

fn mul(self) -> Self::Item where
    Self::Item: Product, 

Deprecated since v0.6.0

: name changed to product() to match sequential iterators

DEPRECATED

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

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

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::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, 

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][find] 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, 

Searches for the 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, 

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

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

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, 

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

Create a fresh collection containing all the element produced by this parallel iterator.

impl BoundedParallelIterator for Iter<i16>

fn upper_bound(&mut self) -> usize

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

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

impl ExactParallelIterator for Iter<i16>

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 IndexedParallelIterator for Iter<i16>

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

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

fn zip<Z>(self, zip_op: Z) -> Zip<Self, Z::Iter> where
    Z: IntoParallelIterator,
    Z::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 cmp<I>(self, other: I) -> Ordering where
    I: IntoParallelIterator<Item = Self::Item>,
    I::Iter: IndexedParallelIterator,
    Self::Item: Ord, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn partial_cmp<I>(self, other: I) -> Option<Ordering> where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn eq<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are equal to those of another

fn ne<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are unequal to those of another

fn lt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically less than those of another.

fn le<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn gt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically greater than those of another.

fn ge<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn enumerate(self) -> Enumerate<Self>

Yields an index along with each item.

fn skip(self, n: usize) -> Skip<Self>

Creates an iterator that skips the first n elements.

fn take(self, n: usize) -> Take<Self>

Creates an iterator that yields the first n elements.

fn position_any<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for some item in the parallel iterator that matches the given predicate, and returns its index. Like ParallelIterator::find_any, the parallel search will not necessarily find the first match, and once a match is found we'll attempt to stop processing any more.

fn position_first<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the first item in the parallel iterator that matches the given predicate, and returns its index.

fn position_last<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the last item in the parallel iterator that matches the given predicate, and returns its index.

fn rev(self) -> Rev<Self>

Produces a new iterator with the elements of this iterator in reverse order.

fn with_min_len(self, min: usize) -> MinLen<Self>

Sets the minimum length of iterators desired to process in each thread. Rayon will not split any smaller than this length, but of course an iterator could already be smaller to begin with.

fn with_max_len(self, max: usize) -> MaxLen<Self>

Sets the maximum length of iterators desired to process in each thread. Rayon will try to split at least below this length, unless that would put it below the length from with_min_len(). For example, given min=10 and max=15, a length of 16 will not be split any further.

impl ParallelIterator for Iter<i32>

type Item = i32

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 opt_len(&mut self) -> Option<usize>

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

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

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

fn weight_max(self) -> Weight<Self>

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

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 count(self) -> usize

Counts the number of items in this parallel iterator.

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

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

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

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T.

fn inspect<OP>(self, inspect_op: OP) -> Map<Self, MapInspect<OP>> where
    OP: Fn(&Self::Item) + Sync, 

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

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

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, 

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

fn reduce_with_identity<OP>(self, identity: Self::Item, op: OP) -> Self::Item where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync,
    Self::Item: Clone + Sync, 

Deprecated since v0.5.0

: call reduce instead

Deprecated. Use reduce() instead.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

fn mul(self) -> Self::Item where
    Self::Item: Product, 

Deprecated since v0.6.0

: name changed to product() to match sequential iterators

DEPRECATED

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

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

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::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, 

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][find] 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, 

Searches for the 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, 

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

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

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, 

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

Create a fresh collection containing all the element produced by this parallel iterator.

impl BoundedParallelIterator for Iter<i32>

fn upper_bound(&mut self) -> usize

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

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

impl ExactParallelIterator for Iter<i32>

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 IndexedParallelIterator for Iter<i32>

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

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

fn zip<Z>(self, zip_op: Z) -> Zip<Self, Z::Iter> where
    Z: IntoParallelIterator,
    Z::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 cmp<I>(self, other: I) -> Ordering where
    I: IntoParallelIterator<Item = Self::Item>,
    I::Iter: IndexedParallelIterator,
    Self::Item: Ord, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn partial_cmp<I>(self, other: I) -> Option<Ordering> where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn eq<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are equal to those of another

fn ne<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are unequal to those of another

fn lt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically less than those of another.

fn le<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn gt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically greater than those of another.

fn ge<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn enumerate(self) -> Enumerate<Self>

Yields an index along with each item.

fn skip(self, n: usize) -> Skip<Self>

Creates an iterator that skips the first n elements.

fn take(self, n: usize) -> Take<Self>

Creates an iterator that yields the first n elements.

fn position_any<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for some item in the parallel iterator that matches the given predicate, and returns its index. Like ParallelIterator::find_any, the parallel search will not necessarily find the first match, and once a match is found we'll attempt to stop processing any more.

fn position_first<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the first item in the parallel iterator that matches the given predicate, and returns its index.

fn position_last<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the last item in the parallel iterator that matches the given predicate, and returns its index.

fn rev(self) -> Rev<Self>

Produces a new iterator with the elements of this iterator in reverse order.

fn with_min_len(self, min: usize) -> MinLen<Self>

Sets the minimum length of iterators desired to process in each thread. Rayon will not split any smaller than this length, but of course an iterator could already be smaller to begin with.

fn with_max_len(self, max: usize) -> MaxLen<Self>

Sets the maximum length of iterators desired to process in each thread. Rayon will try to split at least below this length, unless that would put it below the length from with_min_len(). For example, given min=10 and max=15, a length of 16 will not be split any further.

impl ParallelIterator for Iter<isize>

type Item = isize

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 opt_len(&mut self) -> Option<usize>

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

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

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

fn weight_max(self) -> Weight<Self>

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

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 count(self) -> usize

Counts the number of items in this parallel iterator.

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

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

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

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T.

fn inspect<OP>(self, inspect_op: OP) -> Map<Self, MapInspect<OP>> where
    OP: Fn(&Self::Item) + Sync, 

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

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

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, 

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

fn reduce_with_identity<OP>(self, identity: Self::Item, op: OP) -> Self::Item where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync,
    Self::Item: Clone + Sync, 

Deprecated since v0.5.0

: call reduce instead

Deprecated. Use reduce() instead.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

fn mul(self) -> Self::Item where
    Self::Item: Product, 

Deprecated since v0.6.0

: name changed to product() to match sequential iterators

DEPRECATED

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

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

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::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, 

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][find] 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, 

Searches for the 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, 

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

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

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, 

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

Create a fresh collection containing all the element produced by this parallel iterator.

impl BoundedParallelIterator for Iter<isize>

fn upper_bound(&mut self) -> usize

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

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

impl ExactParallelIterator for Iter<isize>

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 IndexedParallelIterator for Iter<isize>

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

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

fn zip<Z>(self, zip_op: Z) -> Zip<Self, Z::Iter> where
    Z: IntoParallelIterator,
    Z::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 cmp<I>(self, other: I) -> Ordering where
    I: IntoParallelIterator<Item = Self::Item>,
    I::Iter: IndexedParallelIterator,
    Self::Item: Ord, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn partial_cmp<I>(self, other: I) -> Option<Ordering> where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Lexicographically compares the elements of this ParallelIterator with those of another.

fn eq<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are equal to those of another

fn ne<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialEq<I::Item>, 

Determines if the elements of this ParallelIterator are unequal to those of another

fn lt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically less than those of another.

fn le<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn gt<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are lexicographically greater than those of another.

fn ge<I>(self, other: I) -> bool where
    I: IntoParallelIterator,
    I::Iter: IndexedParallelIterator,
    Self::Item: PartialOrd<I::Item>, 

Determines if the elements of this ParallelIterator are less or equal to those of another.

fn enumerate(self) -> Enumerate<Self>

Yields an index along with each item.

fn skip(self, n: usize) -> Skip<Self>

Creates an iterator that skips the first n elements.

fn take(self, n: usize) -> Take<Self>

Creates an iterator that yields the first n elements.

fn position_any<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for some item in the parallel iterator that matches the given predicate, and returns its index. Like ParallelIterator::find_any, the parallel search will not necessarily find the first match, and once a match is found we'll attempt to stop processing any more.

fn position_first<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the first item in the parallel iterator that matches the given predicate, and returns its index.

fn position_last<P>(self, predicate: P) -> Option<usize> where
    P: Fn(Self::Item) -> bool + Sync, 

Searches for the last item in the parallel iterator that matches the given predicate, and returns its index.

fn rev(self) -> Rev<Self>

Produces a new iterator with the elements of this iterator in reverse order.

fn with_min_len(self, min: usize) -> MinLen<Self>

Sets the minimum length of iterators desired to process in each thread. Rayon will not split any smaller than this length, but of course an iterator could already be smaller to begin with.

fn with_max_len(self, max: usize) -> MaxLen<Self>

Sets the maximum length of iterators desired to process in each thread. Rayon will try to split at least below this length, unless that would put it below the length from with_min_len(). For example, given min=10 and max=15, a length of 16 will not be split any further.

impl ParallelIterator for Iter<u64>

type Item = u64

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

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

fn weight_max(self) -> Weight<Self>

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

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 count(self) -> usize

Counts the number of items in this parallel iterator.

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

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

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

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T.

fn inspect<OP>(self, inspect_op: OP) -> Map<Self, MapInspect<OP>> where
    OP: Fn(&Self::Item) + Sync, 

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

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

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, 

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

fn reduce_with_identity<OP>(self, identity: Self::Item, op: OP) -> Self::Item where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync,
    Self::Item: Clone + Sync, 

Deprecated since v0.5.0

: call reduce instead

Deprecated. Use reduce() instead.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

fn mul(self) -> Self::Item where
    Self::Item: Product, 

Deprecated since v0.6.0

: name changed to product() to match sequential iterators

DEPRECATED

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

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

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::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, 

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][find] 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, 

Searches for the 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, 

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

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

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, 

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

Create a fresh collection containing all the element produced by this parallel iterator.

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

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

impl ParallelIterator for Iter<i64>

type Item = i64

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

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

fn weight_max(self) -> Weight<Self>

Deprecated since v0.7.0

: try with_min_len or with_max_len instead

Deprecated. If the adaptive algorithms don't split appropriately, try IndexedParallelIterator::with_min_len() or with_max_len() instead.

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 count(self) -> usize

Counts the number of items in this parallel iterator.

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

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

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

Creates an iterator which clones all of its elements. This may be useful when you have an iterator over &T, but you need T.

fn inspect<OP>(self, inspect_op: OP) -> Map<Self, MapInspect<OP>> where
    OP: Fn(&Self::Item) + Sync, 

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

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

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, 

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

fn reduce_with_identity<OP>(self, identity: Self::Item, op: OP) -> Self::Item where
    OP: Fn(Self::Item, Self::Item) -> Self::Item + Sync,
    Self::Item: Clone + Sync, 

Deprecated since v0.5.0

: call reduce instead

Deprecated. Use reduce() instead.

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

Sums up the items in the iterator.

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

Multiplies all the items in the iterator.

fn mul(self) -> Self::Item where
    Self::Item: Product, 

Deprecated since v0.6.0

: name changed to product() to match sequential iterators

DEPRECATED

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

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

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::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, 

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][find] 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, 

Searches for the 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, 

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

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

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, 

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

Create a fresh collection containing all the element produced by this parallel iterator.

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

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