12 KiB
% The Rust Containers and Iterators Guide
Containers
The container traits are defined in the std::container
module.
Unique vectors
Vectors have O(1)
indexing, push (to the end) and pop (from the end). Vectors
are the most common container in Rust, and are flexible enough to fit many use
cases.
Vectors can also be sorted and used as efficient lookup tables with the
bsearch()
method, if all the elements are inserted at one time and
deletions are unnecessary.
Maps and sets
Maps are collections of unique keys with corresponding values, and sets are
just unique keys without a corresponding value. The Map
and Set
traits in
std::container
define the basic interface.
The standard library provides three owned map/set types:
std::hashmap::HashMap
andstd::hashmap::HashSet
, requiring the keys to implementEq
andHash
std::trie::TrieMap
andstd::trie::TrieSet
, requiring the keys to beuint
extra::treemap::TreeMap
andextra::treemap::TreeSet
, requiring the keys to implementTotalOrd
These maps do not use managed pointers so they can be sent between tasks as long as the key and value types are sendable. Neither the key or value type has to be copyable.
The TrieMap
and TreeMap
maps are ordered, while HashMap
uses an arbitrary
order.
Each HashMap
instance has a random 128-bit key to use with a keyed hash,
making the order of a set of keys in a given hash table randomized. Rust
provides a SipHash implementation for any type
implementing the IterBytes
trait.
Double-ended queues
The extra::ringbuf
module implements a double-ended queue with O(1)
amortized inserts and removals from both ends of the container. It also has
O(1)
indexing like a vector. The contained elements are not required to be
copyable, and the queue will be sendable if the contained type is sendable.
Its interface Deque
is defined in extra::collections
.
The extra::dlist
module implements a double-ended linked list, also
implementing the Deque
trait, with O(1)
removals and inserts at either end,
and O(1)
concatenation.
Priority queues
The extra::priority_queue
module implements a queue ordered by a key. The
contained elements are not required to be copyable, and the queue will be
sendable if the contained type is sendable.
Insertions have O(log n)
time complexity and checking or popping the largest
element is O(1)
. Converting a vector to a priority queue can be done
in-place, and has O(n)
complexity. A priority queue can also be converted to
a sorted vector in-place, allowing it to be used for an O(n log n)
in-place
heapsort.
Iterators
Iteration protocol
The iteration protocol is defined by the Iterator
trait in the
std::iter
module. The minimal implementation of the trait is a next
method, yielding the next element from an iterator object:
/// An infinite stream of zeroes
struct ZeroStream;
impl Iterator<int> for ZeroStream {
fn next(&mut self) -> Option<int> {
Some(0)
}
}
Reaching the end of the iterator is signalled by returning None
instead of
Some(item)
:
# fn main() {}
/// A stream of N zeroes
struct ZeroStream {
priv remaining: uint
}
impl ZeroStream {
fn new(n: uint) -> ZeroStream {
ZeroStream { remaining: n }
}
}
impl Iterator<int> for ZeroStream {
fn next(&mut self) -> Option<int> {
if self.remaining == 0 {
None
} else {
self.remaining -= 1;
Some(0)
}
}
}
In general, you cannot rely on the behavior of the next()
method after it has
returned None
. Some iterators may return None
forever. Others may behave
differently.
Container iterators
Containers implement iteration over the contained elements by returning an iterator object. For example, vector slices several iterators available:
iter()
andrev_iter()
, for immutable references to the elementsmut_iter()
andmut_rev_iter()
, for mutable references to the elementsmove_iter()
andmove_rev_iter()
, to move the elements out by-value
A typical mutable container will implement at least iter()
, mut_iter()
and
move_iter()
along with the reverse variants if it maintains an order.
Freezing
Unlike most other languages with external iterators, Rust has no iterator invalidation. As long as an iterator is still in scope, the compiler will prevent modification of the container through another handle.
let mut xs = [1, 2, 3];
{
let _it = xs.iter();
// the vector is frozen for this scope, the compiler will statically
// prevent modification
}
// the vector becomes unfrozen again at the end of the scope
These semantics are due to most container iterators being implemented with &
and &mut
.
Iterator adaptors
The Iterator
trait provides many common algorithms as default methods. For
example, the fold
method will accumulate the items yielded by an Iterator
into a single value:
let xs = [1, 9, 2, 3, 14, 12];
let result = xs.iter().fold(0, |accumulator, item| accumulator - *item);
assert_eq!(result, -41);
Most adaptors return an adaptor object implementing the Iterator
trait itself:
let xs = [1, 9, 2, 3, 14, 12];
let ys = [5, 2, 1, 8];
let sum = xs.iter().chain(ys.iter()).fold(0, |a, b| a + *b);
assert_eq!(sum, 57);
Some iterator adaptors may return None
before exhausting the underlying
iterator. Additionally, if these iterator adaptors are called again after
returning None
, they may call their underlying iterator again even if the
adaptor will continue to return None
forever. This may not be desired if the
underlying iterator has side-effects.
In order to provide a guarantee about behavior once None
has been returned, an
iterator adaptor named fuse()
is provided. This returns an iterator that will
never call its underlying iterator again once None
has been returned:
let xs = [1,2,3,4,5];
let mut calls = 0;
let it = xs.iter().scan((), |_, x| {
calls += 1;
if *x < 3 { Some(x) } else { None }});
// the iterator will only yield 1 and 2 before returning None
// If we were to call it 5 times, calls would end up as 5, despite only 2 values
// being yielded (and therefore 3 unique calls being made). The fuse() adaptor
// can fix this.
let mut it = it.fuse();
it.next();
it.next();
it.next();
it.next();
it.next();
assert_eq!(calls, 3);
For loops
The function range
(or range_inclusive
) allows to simply iterate through a given range:
for i in range(0, 5) {
print!("{} ", i) // prints "0 1 2 3 4"
}
for i in std::iter::range_inclusive(0, 5) { // needs explicit import
print!("{} ", i) // prints "0 1 2 3 4 5"
}
The for
keyword can be used as sugar for iterating through any iterator:
let xs = [2u, 3, 5, 7, 11, 13, 17];
// print out all the elements in the vector
for x in xs.iter() {
println(x.to_str())
}
// print out all but the first 3 elements in the vector
for x in xs.iter().skip(3) {
println(x.to_str())
}
For loops are often used with a temporary iterator object, as above. They can also advance the state of an iterator in a mutable location:
let xs = [1, 2, 3, 4, 5];
let ys = ["foo", "bar", "baz", "foobar"];
// create an iterator yielding tuples of elements from both vectors
let mut it = xs.iter().zip(ys.iter());
// print out the pairs of elements up to (&3, &"baz")
for (x, y) in it {
println!("{} {}", *x, *y);
if *x == 3 {
break;
}
}
// yield and print the last pair from the iterator
println!("last: {:?}", it.next());
// the iterator is now fully consumed
assert!(it.next().is_none());
Conversion
Iterators offer generic conversion to containers with the collect
adaptor:
let xs = [0, 1, 1, 2, 3, 5, 8];
let ys = xs.rev_iter().skip(1).map(|&x| x * 2).collect::<~[int]>();
assert_eq!(ys, ~[10, 6, 4, 2, 2, 0]);
The method requires a type hint for the container type, if the surrounding code does not provide sufficient information.
Containers can provide conversion from iterators through collect
by
implementing the FromIterator
trait. For example, the implementation for
vectors is as follows:
impl<A> FromIterator<A> for ~[A] {
pub fn from_iterator<T: Iterator<A>>(iterator: &mut T) -> ~[A] {
let (lower, _) = iterator.size_hint();
let mut xs = with_capacity(lower);
for x in iterator {
xs.push(x);
}
xs
}
}
Size hints
The Iterator
trait provides a size_hint
default method, returning a lower
bound and optionally on upper bound on the length of the iterator:
fn size_hint(&self) -> (uint, Option<uint>) { (0, None) }
The vector implementation of FromIterator
from above uses the lower bound
to pre-allocate enough space to hold the minimum number of elements the
iterator will yield.
The default implementation is always correct, but it should be overridden if the iterator can provide better information.
The ZeroStream
from earlier can provide an exact lower and upper bound:
# fn main() {}
/// A stream of N zeroes
struct ZeroStream {
priv remaining: uint
}
impl ZeroStream {
fn new(n: uint) -> ZeroStream {
ZeroStream { remaining: n }
}
fn size_hint(&self) -> (uint, Option<uint>) {
(self.remaining, Some(self.remaining))
}
}
impl Iterator<int> for ZeroStream {
fn next(&mut self) -> Option<int> {
if self.remaining == 0 {
None
} else {
self.remaining -= 1;
Some(0)
}
}
}
Double-ended iterators
The DoubleEndedIterator
trait represents an iterator able to yield elements
from either end of a range. It inherits from the Iterator
trait and extends
it with the next_back
function.
A DoubleEndedIterator
can be flipped with the invert
adaptor, returning
another DoubleEndedIterator
with next
and next_back
exchanged.
let xs = [1, 2, 3, 4, 5, 6];
let mut it = xs.iter();
println!("{:?}", it.next()); // prints `Some(&1)`
println!("{:?}", it.next()); // prints `Some(&2)`
println!("{:?}", it.next_back()); // prints `Some(&6)`
// prints `5`, `4` and `3`
for &x in it.invert() {
println!("{}", x)
}
The rev_iter
and mut_rev_iter
methods on vectors just return an inverted
version of the standard immutable and mutable vector iterators.
The chain
, map
, filter
, filter_map
and inspect
adaptors are
DoubleEndedIterator
implementations if the underlying iterators are.
let xs = [1, 2, 3, 4];
let ys = [5, 6, 7, 8];
let mut it = xs.iter().chain(ys.iter()).map(|&x| x * 2);
println!("{:?}", it.next()); // prints `Some(2)`
// prints `16`, `14`, `12`, `10`, `8`, `6`, `4`
for x in it.invert() {
println!("{}", x);
}
The reverse_
method is also available for any double-ended iterator yielding
mutable references. It can be used to reverse a container in-place. Note that
the trailing underscore is a workaround for issue #5898 and will be removed.
let mut ys = [1, 2, 3, 4, 5];
ys.mut_iter().reverse_();
assert_eq!(ys, [5, 4, 3, 2, 1]);
Random-access iterators
The RandomAccessIterator
trait represents an iterator offering random access
to the whole range. The indexable
method retrieves the number of elements
accessible with the idx
method.
The chain
adaptor is an implementation of RandomAccessIterator
if the
underlying iterators are.
let xs = [1, 2, 3, 4, 5];
let ys = ~[7, 9, 11];
let mut it = xs.iter().chain(ys.iter());
println!("{:?}", it.idx(0)); // prints `Some(&1)`
println!("{:?}", it.idx(5)); // prints `Some(&7)`
println!("{:?}", it.idx(7)); // prints `Some(&11)`
println!("{:?}", it.idx(8)); // prints `None`
// yield two elements from the beginning, and one from the end
it.next();
it.next();
it.next_back();
println!("{:?}", it.idx(0)); // prints `Some(&3)`
println!("{:?}", it.idx(4)); // prints `Some(&9)`
println!("{:?}", it.idx(6)); // prints `None`