1.1 Unique and managed vectors

Vectors have O(1) indexing and removal from the end, along with O(1) amortized insertion. 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 std::vec::bsearch function, if all the elements are inserted at one time and deletions are unnecessary.

1.2 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 and std::hashmap::HashSet, requiring the keys to implement Eq and Hash
• std::trie::TrieMap and std::trie::TrieSet, requiring the keys to be uint
• extra::treemap::TreeMap and extra::treemap::TreeSet, requiring the keys to implement TotalOrd

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.

1.3 Double-ended queues

The extra::deque 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.

1.4 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.

2.1 Iteration protocol

The iteration protocol is defined by the Iterator trait in the std::iterator 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):

/// 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)
        }
    }
}

2.2 Container iterators

Containers implement iteration over the contained elements by returning an iterator object. For example, vectors have four iterators available:

• vector.iter(), for immutable references to the elements
• vector.mut_iter(), for mutable references to the elements
• vector.rev_iter(), for immutable references to the elements in reverse order
• vector.mut_rev_iter(), for mutable references to the elements in reverse order

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

2.3 Iterator adaptors

The IteratorUtil trait implements common algorithms as methods extending every Iterator implementation. 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);

Some 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);

Note that some adaptors like the chain_ method above use a trailing underscore to work around an issue with method resolve. The underscores will be dropped when they become unnecessary.

2.4 For loops

The for loop syntax is currently in transition, and will switch from the old closure-based iteration protocol to iterator objects. For now, the advance adaptor is required as a compatibility shim to use iterators with for loops.

let xs = [2, 3, 5, 7, 11, 13, 17];

// print out all the elements in the vector
for xs.iter().advance |x| {
    println(x.to_str())
}

// print out all but the first 3 elements in the vector
for xs.iter().skip(3).advance |x| {
    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 it.advance |(x, y)| {
    println(fmt!("%d %s", *x, *y));

    if *x == 3 {
        break;
    }
}

// yield and print the last pair from the iterator
println(fmt!("last: %?", it.next()));

// the iterator is now fully consumed
assert!(it.next().is_none());