[−][src]Trait rayon::iter::IndexedParallelIterator

pub trait IndexedParallelIterator: ParallelIterator {
    fn len(&self) -> usize;

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

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

    fn collect_into_vec(self, target: &mut Vec<Self::Item>) { ... }

    fn unzip_into_vecs<A, B>(self, left: &mut Vec<A>, right: &mut Vec<B>)
    where
        Self: IndexedParallelIterator<Item = (A, B)>,
        A: Send,
        B: Send,
    { ... }

    fn zip<Z>(self, zip_op: Z) -> Zip<Self, Z::Iter>
    where
        Z: IntoParallelIterator,
        Z::Iter: IndexedParallelIterator,
    { ... }

    fn zip_eq<Z>(self, zip_op: Z) -> ZipEq<Self, Z::Iter>
    where
        Z: IntoParallelIterator,
        Z::Iter: IndexedParallelIterator,
    { ... }

    fn interleave<I>(self, other: I) -> Interleave<Self, I::Iter>
    where
        I: IntoParallelIterator<Item = Self::Item>,
        I::Iter: IndexedParallelIterator<Item = Self::Item>,
    { ... }

    fn interleave_shortest<I>(
        self, 
        other: I
    ) -> InterleaveShortest<Self, I::Iter>
    where
        I: IntoParallelIterator<Item = Self::Item>,
        I::Iter: IndexedParallelIterator<Item = Self::Item>,
    { ... }

    fn chunks(self, chunk_size: usize) -> Chunks<Self> { ... }

    fn cmp<I>(self, other: I) -> Ordering
    where
        I: IntoParallelIterator<Item = Self::Item>,
        I::Iter: IndexedParallelIterator,
        Self::Item: Ord,
    { ... }

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

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

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

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

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

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

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

    fn enumerate(self) -> Enumerate<Self> { ... }

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

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

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

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

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

    fn rev(self) -> Rev<Self> { ... }

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

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

An iterator that supports "random access" to its data, meaning that you can split it at arbitrary indices and draw data from those points.

Note: Not implemented for u64, i64, u128, or i128 ranges

Required methods

fn len(&self) -> usize

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

Examples

use rayon::prelude::*;

let par_iter = (0..100).into_par_iter().zip(vec![0; 10]);
assert_eq!(par_iter.len(), 10);

let vec: Vec<_> = par_iter.collect();
assert_eq!(vec.len(), 10);

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

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

This method causes the iterator self to start producing items and to feed them to the consumer consumer one by one. It may split the consumer before doing so to create the opportunity to produce in parallel. If a split does happen, it will inform the consumer of the index where the split should occur (unlike ParallelIterator::drive_unindexed()).

See the README for more details on the internals of parallel iterators.

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

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

This method converts the iterator into a producer P and then invokes callback.callback() with P. Note that the type of this producer is not defined as part of the API, since callback must be defined generically for all producers. This allows the producer type to contain references; it also means that parallel iterators can adjust that type without causing a breaking change.

See the README for more details on the internals of parallel iterators.

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Provided methods

fn collect_into_vec(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.

Examples

use rayon::prelude::*;

// any prior data will be truncated
let mut vec = vec![-1, -2, -3];

(0..5).into_par_iter()
    .collect_into_vec(&mut vec);

assert_eq!(vec, [0, 1, 2, 3, 4]);

fn unzip_into_vecs<A, B>(self, left: &mut Vec<A>, right: &mut Vec<B>) where
    Self: IndexedParallelIterator<Item = (A, B)>,
    A: Send,
    B: Send, 

Unzips the results of the iterator into the specified vectors. The vectors are always truncated before execution begins. If possible, reusing the vectors across calls can lead to better performance since they reuse the same backing buffer.

Examples

use rayon::prelude::*;

// any prior data will be truncated
let mut left = vec![42; 10];
let mut right = vec![-1; 10];

(10..15).into_par_iter()
    .enumerate()
    .unzip_into_vecs(&mut left, &mut right);

assert_eq!(left, [0, 1, 2, 3, 4]);
assert_eq!(right, [10, 11, 12, 13, 14]);

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.

Examples

use rayon::prelude::*;

let result: Vec<_> = (1..4)
    .into_par_iter()
    .zip(vec!['a', 'b', 'c'])
    .collect();

assert_eq!(result, [(1, 'a'), (2, 'b'), (3, 'c')]);

fn zip_eq<Z>(self, zip_op: Z) -> ZipEq<Self, Z::Iter> where
    Z: IntoParallelIterator,
    Z::Iter: IndexedParallelIterator, 

The same as Zip, but requires that both iterators have the same length.

Panics

Will panic if self and zip_op are not the same length.

use rayon::prelude::*;

let one = [1u8];
let two = [2u8, 2];
let one_iter = one.par_iter();
let two_iter = two.par_iter();

// this will panic
let zipped: Vec<(&u8, &u8)> = one_iter.zip_eq(two_iter).collect();

// we should never get here
assert_eq!(1, zipped.len());

fn interleave<I>(self, other: I) -> Interleave<Self, I::Iter> where
    I: IntoParallelIterator<Item = Self::Item>,
    I::Iter: IndexedParallelIterator<Item = Self::Item>, 

Interleave elements of this iterator and the other given iterator. Alternately yields elements from this iterator and the given iterator, until both are exhausted. If one iterator is exhausted before the other, the last elements are provided from the other.

Examples

use rayon::prelude::*;
let (x, y) = (vec![1, 2], vec![3, 4, 5, 6]);
let r: Vec<i32> = x.into_par_iter().interleave(y).collect();
assert_eq!(r, vec![1, 3, 2, 4, 5, 6]);

fn interleave_shortest<I>(self, other: I) -> InterleaveShortest<Self, I::Iter> where
    I: IntoParallelIterator<Item = Self::Item>,
    I::Iter: IndexedParallelIterator<Item = Self::Item>, 

Interleave elements of this iterator and the other given iterator, until one is exhausted.

Examples

use rayon::prelude::*;
let (x, y) = (vec![1, 2, 3, 4], vec![5, 6]);
let r: Vec<i32> = x.into_par_iter().interleave_shortest(y).collect();
assert_eq!(r, vec![1, 5, 2, 6, 3]);

fn chunks(self, chunk_size: usize) -> Chunks<Self>

Split an iterator up into fixed-size chunks.

Returns an iterator that returns Vecs of the given number of elements. If the number of elements in the iterator is not divisible by chunk_size, the last chunk may be shorter than chunk_size.

See also par_chunks() and par_chunks_mut() for similar behavior on slices, without having to allocate intermediate Vecs for the chunks.

Examples

use rayon::prelude::*;
let a = vec![1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
let r: Vec<Vec<i32>> = a.into_par_iter().chunks(3).collect();
assert_eq!(r, vec![vec![1,2,3], vec![4,5,6], vec![7,8,9], vec![10]]);

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.

Examples

use rayon::prelude::*;
use std::cmp::Ordering::*;

let x = vec![1, 2, 3];
assert_eq!(x.par_iter().cmp(&vec![1, 3, 0]), Less);
assert_eq!(x.par_iter().cmp(&vec![1, 2, 3]), Equal);
assert_eq!(x.par_iter().cmp(&vec![1, 2]), Greater);

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.

Examples

use rayon::prelude::*;
use std::cmp::Ordering::*;
use std::f64::NAN;

let x = vec![1.0, 2.0, 3.0];
assert_eq!(x.par_iter().partial_cmp(&vec![1.0, 3.0, 0.0]), Some(Less));
assert_eq!(x.par_iter().partial_cmp(&vec![1.0, 2.0, 3.0]), Some(Equal));
assert_eq!(x.par_iter().partial_cmp(&vec![1.0, 2.0]), Some(Greater));
assert_eq!(x.par_iter().partial_cmp(&vec![1.0, NAN]), None);

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.

Examples

use rayon::prelude::*;

let chars = vec!['a', 'b', 'c'];
let result: Vec<_> = chars
    .into_par_iter()
    .enumerate()
    .collect();

assert_eq!(result, [(0, 'a'), (1, 'b'), (2, 'c')]);

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

Creates an iterator that skips the first n elements.

Examples

use rayon::prelude::*;

let result: Vec<_> = (0..100)
    .into_par_iter()
    .skip(95)
    .collect();

assert_eq!(result, [95, 96, 97, 98, 99]);

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

Creates an iterator that yields the first n elements.

Examples

use rayon::prelude::*;

let result: Vec<_> = (0..100)
    .into_par_iter()
    .take(5)
    .collect();

assert_eq!(result, [0, 1, 2, 3, 4]);

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

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.

Examples

use rayon::prelude::*;

let a = [1, 2, 3, 3];

let i = a.par_iter().position_any(|&x| x == 3).expect("found");
assert!(i == 2 || i == 3);

assert_eq!(a.par_iter().position_any(|&x| x == 100), None);

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

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

Like ParallelIterator::find_first, once a match is found, all attempts to the right of the match will be stopped, while attempts to the left must continue in case an earlier match is found.

Note that not all parallel iterators have a useful order, much like sequential HashMap iteration, so "first" may be nebulous. If you just want the first match that discovered anywhere in the iterator, position_any is a better choice.

Examples

use rayon::prelude::*;

let a = [1, 2, 3, 3];

assert_eq!(a.par_iter().position_first(|&x| x == 3), Some(2));

assert_eq!(a.par_iter().position_first(|&x| x == 100), None);

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

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

Like ParallelIterator::find_last, once a match is found, all attempts to the left of the match will be stopped, while attempts to the right must continue in case a later match is found.

Note that not all parallel iterators have a useful order, much like sequential HashMap iteration, so "last" may be nebulous. When the order doesn't actually matter to you, position_any is a better choice.

Examples

use rayon::prelude::*;

let a = [1, 2, 3, 3];

assert_eq!(a.par_iter().position_last(|&x| x == 3), Some(3));

assert_eq!(a.par_iter().position_last(|&x| x == 100), None);

fn rev(self) -> Rev<Self>

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

Examples

use rayon::prelude::*;

let result: Vec<_> = (0..5)
    .into_par_iter()
    .rev()
    .collect();

assert_eq!(result, [4, 3, 2, 1, 0]);

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.

Producers like zip and interleave will use greater of the two minimums. Chained iterators and iterators inside flat_map may each use their own minimum length.

Examples

use rayon::prelude::*;

let min = (0..1_000_000)
    .into_par_iter()
    .with_min_len(1234)
    .fold(|| 0, |acc, _| acc + 1) // count how many are in this segment
    .min().unwrap();

assert!(min >= 1234);

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.

Producers like zip and interleave will use lesser of the two maximums. Chained iterators and iterators inside flat_map may each use their own maximum length.

Examples

use rayon::prelude::*;

let max = (0..1_000_000)
    .into_par_iter()
    .with_max_len(1234)
    .fold(|| 0, |acc, _| acc + 1) // count how many are in this segment
    .max().unwrap();

assert!(max <= 1234);
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Implementors

impl IndexedParallelIterator for rayon::range::Iter<i16>[src]

impl IndexedParallelIterator for rayon::range::Iter<i32>[src]

impl IndexedParallelIterator for rayon::range::Iter<i8>[src]

impl IndexedParallelIterator for rayon::range::Iter<isize>[src]

impl IndexedParallelIterator for rayon::range::Iter<u16>[src]

impl IndexedParallelIterator for rayon::range::Iter<u32>[src]

impl IndexedParallelIterator for rayon::range::Iter<u8>[src]

impl IndexedParallelIterator for rayon::range::Iter<usize>[src]

impl IndexedParallelIterator for rayon::range_inclusive::Iter<i16>[src]

impl IndexedParallelIterator for rayon::range_inclusive::Iter<i8>[src]

impl IndexedParallelIterator for rayon::range_inclusive::Iter<u16>[src]

impl IndexedParallelIterator for rayon::range_inclusive::Iter<u8>[src]

impl<'a, T, I> IndexedParallelIterator for Cloned<I> where
    I: IndexedParallelIterator<Item = &'a T>,
    T: 'a + Clone + Send + Sync, [src]

impl<'a, T, I> IndexedParallelIterator for Copied<I> where
    I: IndexedParallelIterator<Item = &'a T>,
    T: 'a + Copy + Send + Sync, [src]

impl<'a, T: Ord + Sync + 'a> IndexedParallelIterator for rayon::collections::binary_heap::Iter<'a, T>[src]

impl<'a, T: Send + 'a> IndexedParallelIterator for rayon::collections::vec_deque::IterMut<'a, T>[src]

impl<'a, T: Send + 'a> IndexedParallelIterator for rayon::option::IterMut<'a, T>[src]

impl<'a, T: Send + 'a> IndexedParallelIterator for rayon::result::IterMut<'a, T>[src]

impl<'a, T: Sync + 'a> IndexedParallelIterator for rayon::collections::vec_deque::Iter<'a, T>[src]

impl<'a, T: Sync + 'a> IndexedParallelIterator for rayon::option::Iter<'a, T>[src]

impl<'a, T: Sync + 'a> IndexedParallelIterator for rayon::result::Iter<'a, T>[src]

impl<'data, T: Send + 'data> IndexedParallelIterator for ChunksMut<'data, T>[src]

impl<'data, T: Send + 'data> IndexedParallelIterator for rayon::slice::IterMut<'data, T>[src]

impl<'data, T: Sync + 'data> IndexedParallelIterator for rayon::slice::Chunks<'data, T>[src]

impl<'data, T: Sync + 'data> IndexedParallelIterator for rayon::slice::Iter<'data, T>[src]

impl<'data, T: Sync + 'data> IndexedParallelIterator for Windows<'data, T>[src]

impl<A, B> IndexedParallelIterator for Chain<A, B> where
    A: IndexedParallelIterator,
    B: IndexedParallelIterator<Item = A::Item>, [src]

impl<A, B> IndexedParallelIterator for Zip<A, B> where
    A: IndexedParallelIterator,
    B: IndexedParallelIterator, [src]

impl<A, B> IndexedParallelIterator for ZipEq<A, B> where
    A: IndexedParallelIterator,
    B: IndexedParallelIterator, [src]

impl<I> IndexedParallelIterator for rayon::iter::Chunks<I> where
    I: IndexedParallelIterator, [src]

impl<I> IndexedParallelIterator for Enumerate<I> where
    I: IndexedParallelIterator, [src]

impl<I> IndexedParallelIterator for Intersperse<I> where
    I: IndexedParallelIterator,
    I::Item: Clone + Send, [src]

impl<I> IndexedParallelIterator for MaxLen<I> where
    I: IndexedParallelIterator, [src]

impl<I> IndexedParallelIterator for MinLen<I> where
    I: IndexedParallelIterator, [src]

impl<I> IndexedParallelIterator for PanicFuse<I> where
    I: IndexedParallelIterator, [src]

impl<I> IndexedParallelIterator for Rev<I> where
    I: IndexedParallelIterator, [src]

impl<I> IndexedParallelIterator for Skip<I> where
    I: IndexedParallelIterator, [src]

impl<I> IndexedParallelIterator for Take<I> where
    I: IndexedParallelIterator, [src]

impl<I, F> IndexedParallelIterator for Inspect<I, F> where
    I: IndexedParallelIterator,
    F: Fn(&I::Item) + Sync + Send, [src]

impl<I, F> IndexedParallelIterator for Update<I, F> where
    I: IndexedParallelIterator,
    F: Fn(&mut I::Item) + Send + Sync, [src]

impl<I, F, R> IndexedParallelIterator for Map<I, F> where
    I: IndexedParallelIterator,
    F: Fn(I::Item) -> R + Sync + Send,
    R: Send, [src]

impl<I, INIT, T, F, R> IndexedParallelIterator for MapInit<I, INIT, F> where
    I: IndexedParallelIterator,
    INIT: Fn() -> T + Sync + Send,
    F: Fn(&mut T, I::Item) -> R + Sync + Send,
    R: Send, [src]

impl<I, J> IndexedParallelIterator for Interleave<I, J> where
    I: IndexedParallelIterator,
    J: IndexedParallelIterator<Item = I::Item>, [src]

impl<I, J> IndexedParallelIterator for InterleaveShortest<I, J> where
    I: IndexedParallelIterator,
    J: IndexedParallelIterator<Item = I::Item>, [src]

impl<I, T, F, R> IndexedParallelIterator for MapWith<I, T, F> where
    I: IndexedParallelIterator,
    T: Send + Clone,
    F: Fn(&mut T, I::Item) -> R + Sync + Send,
    R: Send, [src]

impl<L, R> IndexedParallelIterator for Either<L, R> where
    L: IndexedParallelIterator,
    R: IndexedParallelIterator<Item = L::Item>, [src]

impl<T> IndexedParallelIterator for RepeatN<T> where
    T: Clone + Send, [src]

impl<T: Ord + Send> IndexedParallelIterator for rayon::collections::binary_heap::IntoIter<T>[src]

impl<T: Send> IndexedParallelIterator for rayon::collections::vec_deque::IntoIter<T>[src]

impl<T: Send> IndexedParallelIterator for Empty<T>[src]

impl<T: Send> IndexedParallelIterator for Once<T>[src]

impl<T: Send> IndexedParallelIterator for rayon::option::IntoIter<T>[src]

impl<T: Send> IndexedParallelIterator for rayon::result::IntoIter<T>[src]

impl<T: Send> IndexedParallelIterator for rayon::vec::IntoIter<T>[src]

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