Rust 0.10
46867cc3
Rust is a programming language with a focus on type safety, memory safety, concurrency and performance. It is intended for writing large-scale, high-performance software that is free from several classes of common errors. Rust has a sophisticated memory model that encourages efficient data structures and safe concurrency patterns, forbidding invalid memory accesses that would otherwise cause segmentation faults. It is statically typed and compiled ahead of time.
As a multi-paradigm language, Rust supports writing code in procedural, functional and object-oriented styles. Some of its pleasant high-level features include:
This is an introductory tutorial for the Rust programming language. It covers the fundamentals of the language, including the syntax, the type system and memory model, generics, and modules. Additional tutorials cover specific language features in greater depth.
This tutorial assumes that the reader is already familiar with one or more languages in the C family. Understanding of pointers and general memory management techniques will help.
Throughout the tutorial, language keywords and identifiers defined in
example code are displayed in code font.
Code snippets are indented, and also shown in a monospaced font. Not
all snippets constitute whole programs. For brevity, we'll often show
fragments of programs that don't compile on their own. To try them
out, you might have to wrap them in fn main() { ... }, and make sure
they don't contain references to names that aren't actually defined.
Warning: Rust is a language under ongoing development. Notes about potential changes to the language, implementation deficiencies, and other caveats appear offset in blockquotes.
Warning: The tarball and installer links are for the most recent release, not master. To use master, you must build from git.
The Rust compiler currently must be built from a tarball or git, unless you are on Windows, in which case using the installer is recommended. There is a list of community-maintained nightly builds and packages on the wiki.
Since the Rust compiler is written in Rust, it must be built by a precompiled "snapshot" version of itself (made in an earlier state of development). The source build automatically fetches these snapshots from the Internet on our supported platforms.
Snapshot binaries are currently built and tested on several platforms:
You may find that other platforms work, but these are our "tier 1" supported build environments that are most likely to work.
Note: Windows users should read the detailed Getting started notes on the wiki. Even when using the binary installer, the Windows build requires a MinGW installation, the precise details of which are not discussed here.
To build from source you will also need the following prerequisite packages:
If you've fulfilled those prerequisites, something along these lines should work.
$ curl -O http://static.rust-lang.org/dist/rust-0.10.tar.gz
$ tar -xzf rust-0.10.tar.gz
$ cd rust-0.10
$ ./configure
$ make && make installYou may need to use sudo make install if you do not normally have
permission to modify the destination directory. The install locations
can be adjusted by passing a --prefix argument to
configure. Various other options are also supported: pass --help
for more information on them.
When complete, make install will place several programs into
/usr/local/bin: rustc, the Rust compiler, and rustdoc, the
API-documentation tool.
Rust program files are, by convention, given the extension .rs. Say
we have a file hello.rs containing this program:
fn main() { println!("hello?"); }
Note: An identifier followed by an exclamation point, like
println!, is a macro invocation. Macros are explained later; for now just remember to include the exclamation point.
If the Rust compiler was installed successfully, running rustc
hello.rs will produce an executable called hello (or hello.exe on
Windows) which, upon running, will likely do exactly what you expect.
The Rust compiler tries to provide useful information when it encounters an
error. If you introduce an error into the program (for example, by changing
println! to some nonexistent macro), and then compile it, you'll see
an error message like this:
hello.rs:2:5: 2:24 error: macro undefined: 'print_with_unicorns'
hello.rs:2 print_with_unicorns!("hello?");
^~~~~~~~~~~~~~~~~~~In its simplest form, a Rust program is a .rs file with some types
and functions defined in it. If it has a main function, it can be
compiled to an executable. Rust does not allow code that's not a
declaration to appear at the top level of the file: all statements must
live inside a function. Rust programs can also be compiled as
libraries, and included in other programs, even ones not written in Rust.
There are vim highlighting and indentation scripts in the Rust source
distribution under src/etc/vim/. There is an emacs mode under
src/etc/emacs/ called rust-mode, but do read the instructions
included in that directory. In particular, if you are running emacs
24, then using emacs's internal package manager to install rust-mode
is the easiest way to keep it up to date. There is also a package for
Sublime Text 2, available both standalone and through
Sublime Package Control, and support for Kate
under src/etc/kate.
A community-maintained list of available Rust tooling is on the wiki.
There is ctags support via src/etc/ctags.rust, but many other
tools and editors are not yet supported. If you end up writing a Rust
mode for your favorite editor, let us know so that we can link to it.
Assuming you've programmed in any C-family language (C++, Java,
JavaScript, C#, or PHP), Rust will feel familiar. Code is arranged
in blocks delineated by curly braces; there are control structures
for branching and looping, like the familiar if and while; function
calls are written myfunc(arg1, arg2); operators are written the same
and mostly have the same precedence as in C; comments are again like C;
module names are separated with double-colon (::) as with C++.
The main surface difference to be aware of is that the condition at
the head of control structures like if and while does not require
parentheses, while their bodies must be wrapped in
braces. Single-statement, unbraced bodies are not allowed.
fn main() { /* A simple loop */ loop { // A tricky calculation if universe::recalibrate() { return; } } }
The let keyword introduces a local variable. Variables are immutable by
default. To introduce a local variable that you can re-assign later, use let
mut instead.
let hi = "hi"; let mut count = 0; while count < 10 { println!("count is {}", count); count += 1; }
Although Rust can almost always infer the types of local variables, you can
specify a variable's type by following it in the let with a colon, then the
type name. Static items, on the other hand, always require a type annotation.
static MONSTER_FACTOR: f64 = 57.8; let monster_size = MONSTER_FACTOR * 10.0; let monster_size: int = 50;
Local variables may shadow earlier declarations, as in the previous example:
monster_size was first declared as a f64, and then a second
monster_size was declared as an int. If you were to actually compile this
example, though, the compiler would determine that the first monster_size is
unused and issue a warning (because this situation is likely to indicate a
programmer error). For occasions where unused variables are intentional, their
names may be prefixed with an underscore to silence the warning, like let
_monster_size = 50;.
Rust identifiers start with an alphabetic character or an underscore, and after that may contain any sequence of alphabetic characters, numbers, or underscores. The preferred style is to write function, variable, and module names with lowercase letters, using underscores where they help readability, while writing types in camel case.
let my_variable = 100; type MyType = int; // primitive types are _not_ camel case
Though it isn't apparent in all code, there is a fundamental difference between Rust's syntax and predecessors like C. Many constructs that are statements in C are expressions in Rust, allowing code to be more concise. For example, you might write a piece of code like this:
let price; if item == "salad" { price = 3.50; } else if item == "muffin" { price = 2.25; } else { price = 2.00; }
But, in Rust, you don't have to repeat the name price:
let price = if item == "salad" { 3.50 } else if item == "muffin" { 2.25 } else { 2.00 };
Both pieces of code are exactly equivalent: they assign a value to
price depending on the condition that holds. Note that there
are no semicolons in the blocks of the second snippet. This is
important: the lack of a semicolon after the last statement in a
braced block gives the whole block the value of that last expression.
Put another way, the semicolon in Rust ignores the value of an expression.
Thus, if the branches of the if had looked like { 4; }, the above example
would simply assign () (unit or void) to price. But without the semicolon, each
branch has a different value, and price gets the value of the branch that
was taken.
In short, everything that's not a declaration (declarations are let for
variables; fn for functions; and any top-level named items such as
traits, enum types, and static items) is an
expression, including function bodies.
fn is_four(x: int) -> bool { // No need for a return statement. The result of the expression // is used as the return value. x == 4 }
There are general signed and unsigned integer types, int and uint,
as well as 8-, 16-, 32-, and 64-bit variants, i8, u16, etc.
Integers can be written in decimal (144), hexadecimal (0x90), octal (0o70), or
binary (0b10010000) base. Each integral type has a corresponding literal
suffix that can be used to indicate the type of a literal: i for int,
u for uint, i8 for the i8 type.
In the absence of an integer literal suffix, Rust will infer the
integer type based on type annotations and function signatures in the
surrounding program. In the absence of any type information at all,
Rust will assume that an unsuffixed integer literal has type
int.
let a = 1; // `a` is an `int` let b = 10i; // `b` is an `int`, due to the `i` suffix let c = 100u; // `c` is a `uint` let d = 1000i32; // `d` is an `i32`
There are two floating-point types: f32, and f64.
Floating-point numbers are written 0.0, 1e6, or 2.1e-4.
Like integers, floating-point literals are inferred to the correct type.
Suffixes f32, and f64 can be used to create literals of a specific type.
The keywords true and false produce literals of type bool.
Characters, the char type, are four-byte Unicode codepoints,
whose literals are written between single quotes, as in 'x'.
Just like C, Rust understands a number of character escapes, using the backslash
character, such as \n, \r, and \t. String literals,
written between double quotes, allow the same escape sequences, and do no
other processing, unlike languages such as PHP or shell.
On the other hand, raw string literals do not process any escape sequences.
They are written as r##"blah"##, with a matching number of zero or more #
before the opening and after the closing quote, and can contain any sequence of
characters except their closing delimiter. More on strings
later.
The unit type, written (), has a single value, also written ().
Rust's set of operators contains very few surprises. Arithmetic is done with
*, /, %, +, and - (multiply, quotient, remainder, add, and subtract). - is
also a unary prefix operator that negates numbers. As in C, the bitwise operators
>>, <<, &, |, and ^ are also supported.
Note that, if applied to an integer value, ! flips all the bits (bitwise
NOT, like ~ in C).
The comparison operators are the traditional ==, !=, <, >,
<=, and >=. Short-circuiting (lazy) boolean operators are written
&& (and) and || (or).
For compile-time type casting, Rust uses the binary as operator. It takes
an expression on the left side and a type on the right side and will, if a
meaningful conversion exists, convert the result of the expression to the
given type. Generally, as is only used with the primitive numeric types or
pointers, and is not overloadable. transmute can be used for
unsafe C-like casting of same-sized types.
let x: f64 = 4.0; let y: uint = x as uint; assert!(y == 4u);
Syntax extensions are special forms that are not built into the language,
but are instead provided by the libraries. To make it clear to the reader when
a name refers to a syntax extension, the names of all syntax extensions end
with !. The standard library defines a few syntax extensions, the most
useful of which is format!, a sprintf-like text formatter that you
will often see in examples, and its related family of macros: print!,
println!, and write!.
format! draws syntax from Python, but contains many of the same principles
that printf has. Unlike printf, format! will give you a compile-time
error when the types of the directives don't match the types of the arguments.
// `{}` will print the "default format" of a type println!("{} is {}", "the answer", 43); // `{:?}` will conveniently print any type println!("what is this thing: {:?}", mystery_object);
You can define your own syntax extensions with the macro system. For details, see the macro tutorial. Note that macro definition is currently considered an unstable feature.
We've seen if expressions a few times already. To recap, braces are
compulsory, an if can have an optional else clause, and multiple
if/else constructs can be chained together:
if false { println!("that's odd"); } else if true { println!("right"); } else { println!("neither true nor false"); }
The condition given to an if construct must be of type bool (no
implicit conversion happens). If the arms are blocks that have a
value, this value must be of the same type for every arm in which
control reaches the end of the block:
fn signum(x: int) -> int { if x < 0 { -1 } else if x > 0 { 1 } else { 0 } }
Rust's match construct is a generalized, cleaned-up version of C's
switch construct. You provide it with a value and a number of
arms, each labelled with a pattern, and the code compares the value
against each pattern in order until one matches. The matching pattern
executes its corresponding arm.
match my_number { 0 => println!("zero"), 1 | 2 => println!("one or two"), 3..10 => println!("three to ten"), _ => println!("something else") }
Unlike in C, there is no "falling through" between arms: only one arm
executes, and it doesn't have to explicitly break out of the
construct when it is finished.
A match arm consists of a pattern, then an arrow =>, followed by
an action (expression). Literals are valid patterns and match only
their own value. A single arm may match multiple different patterns by
combining them with the pipe operator (|), so long as every pattern
binds the same set of variables. Ranges of numeric literal patterns
can be expressed with two dots, as in M..N. The underscore (_) is
a wildcard pattern that matches any single value. (..) is a different
wildcard that can match one or more fields in an enum variant.
The patterns in a match arm are followed by a fat arrow, =>, then an
expression to evaluate. Each case is separated by commas. It's often
convenient to use a block expression for each case, in which case the
commas are optional.
match my_number { 0 => { println!("zero") } _ => { println!("something else") } }
match constructs must be exhaustive: they must have an arm
covering every possible case. For example, the typechecker would
reject the previous example if the arm with the wildcard pattern was
omitted.
A powerful application of pattern matching is destructuring: matching in order to bind names to the contents of data types.
Note: The following code makes use of tuples (
(f64, f64)) which are explained in section 5.3. For now you can think of tuples as a list of items.
use std::f64; use std::num::atan; fn angle(vector: (f64, f64)) -> f64 { let pi = f64::consts::PI; match vector { (0.0, y) if y < 0.0 => 1.5 * pi, (0.0, _) => 0.5 * pi, (x, y) => atan(y / x) } }
A variable name in a pattern matches any value, and binds that name
to the value of the matched value inside of the arm's action. Thus, (0.0,
y) matches any tuple whose first element is zero, and binds y to
the second element. (x, y) matches any two-element tuple, and binds both
elements to variables. (0.0,_) matches any tuple whose first element is zero
and does not bind anything to the second element.
A subpattern can also be bound to a variable, using variable @ pattern. For
example:
match age { a @ 0..20 => println!("{} years old", a), _ => println!("older than 21") }
Any match arm can have a guard clause (written if EXPR), called a
pattern guard, which is an expression of type bool that
determines, after the pattern is found to match, whether the arm is
taken or not. The variables bound by the pattern are in scope in this
guard expression. The first arm in the angle example shows an
example of a pattern guard.
You've already seen simple let bindings, but let is a little
fancier than you've been led to believe. It, too, supports destructuring
patterns. For example, you can write this to extract the fields from a
tuple, introducing two variables at once: a and b.
let (a, b) = get_tuple_of_two_ints();
Let bindings only work with irrefutable patterns: that is, patterns
that can never fail to match. This excludes let from matching
literals and most enum variants.
while denotes a loop that iterates as long as its given condition
(which must have type bool) evaluates to true. Inside a loop, the
keyword break aborts the loop, and continue aborts the current
iteration and continues with the next.
let mut cake_amount = 8; while cake_amount > 0 { cake_amount -= 1; }
loop denotes an infinite loop, and is the preferred way of writing while true:
let mut x = 5u; loop { x += x - 3; if x % 5 == 0 { break; } println!("{}", x); }
This code prints out a weird sequence of numbers and stops as soon as it finds one that can be divided by five.
There is also a for-loop that can be used to iterate over a range of numbers:
for n in range(0, 5) { println!("{}", n); }
The snippet above prints integer numbers under 5 starting at 0.
More generally, a for loop works with anything implementing the Iterator trait.
Data structures can provide one or more methods that return iterators over
their contents. For example, strings support iteration over their contents in
various ways:
let s = "Hello"; for c in s.chars() { println!("{}", c); }
The snippet above prints the characters in "Hello" vertically, adding a new line after each character.
Rust struct types must be declared before they are used using the struct
syntax: struct Name { field1: T1, field2: T2 [, ...] }, where T1, T2,
... denote types. To construct a struct, use the same syntax, but leave off
the struct: for example: Point { x: 1.0, y: 2.0 }.
Structs are quite similar to C structs and are even laid out the same way in
memory (so you can read from a Rust struct in C, and vice-versa). Use the dot
operator to access struct fields, as in mypoint.x.
struct Point { x: f64, y: f64 }
Structs have "inherited mutability", which means that any field of a struct may be mutable, if the struct is in a mutable slot.
With a value (say, mypoint) of such a type in a mutable location, you can do
mypoint.y += 1.0. But in an immutable location, such an assignment to a
struct without inherited mutability would result in a type error.
let mut mypoint = Point { x: 1.0, y: 1.0 }; let origin = Point { x: 0.0, y: 0.0 }; mypoint.y += 1.0; // `mypoint` is mutable, and its fields as well origin.y += 1.0; // ERROR: assigning to immutable field
match patterns destructure structs. The basic syntax is
Name { fieldname: pattern, ... }:
match mypoint { Point { x: 0.0, y: yy } => println!("{}", yy), Point { x: xx, y: yy } => println!("{} {}", xx, yy) }
In general, the field names of a struct do not have to appear in the same
order they appear in the type. When you are not interested in all
the fields of a struct, a struct pattern may end with , .. (as in
Name { field1, .. }) to indicate that you're ignoring all other fields.
Additionally, struct fields have a shorthand matching form that simply
reuses the field name as the binding name.
match mypoint { Point { x, .. } => println!("{}", x) }
Enums are datatypes with several alternate representations. A simple enum
defines one or more constants, all of which have the same type:
enum Direction { North, East, South, West }
Each variant of this enum has a unique and constant integral discriminator
value. If no explicit discriminator is specified for a variant, the value
defaults to the value of the previous variant plus one. If the first variant
does not have a discriminator, it defaults to 0. For example, the value of
North is 0, East is 1, South is 2, and West is 3.
When an enum has simple integer discriminators, you can apply the as cast
operator to convert a variant to its discriminator value as an int:
println!( "{:?} => {}", North, North as int );
It is possible to set the discriminator values to chosen constant values:
enum Color { Red = 0xff0000, Green = 0x00ff00, Blue = 0x0000ff }
Variants do not have to be simple values; they may be more complex:
enum Shape { Circle(Point, f64), Rectangle(Point, Point) }
A value of this type is either a Circle, in which case it contains a
Point struct and a f64, or a Rectangle, in which case it contains
two Point structs. The run-time representation of such a value
includes an identifier of the actual form that it holds, much like the
"tagged union" pattern in C, but with better static guarantees.
This declaration defines a type Shape that can refer to such shapes, and two
functions, Circle and Rectangle, which can be used to construct values of
the type. To create a new Circle, write Circle(Point { x: 0.0, y: 0.0 },
10.0).
All of these variant constructors may be used as patterns. The only way to access the contents of an enum instance is the destructuring of a match. For example:
use std::f64; fn area(sh: Shape) -> f64 { match sh { Circle(_, size) => f64::consts::PI * size * size, Rectangle(Point { x, y }, Point { x: x2, y: y2 }) => (x2 - x) * (y2 - y) } }
Use a lone _ to ignore an individual field. Ignore all fields of a variant
like: Circle(..). Nullary enum patterns are written without parentheses:
fn point_from_direction(dir: Direction) -> Point { match dir { North => Point { x: 0.0, y: 1.0 }, East => Point { x: 1.0, y: 0.0 }, South => Point { x: 0.0, y: -1.0 }, West => Point { x: -1.0, y: 0.0 } } }
Enum variants may also be structs. For example:
use std::f64; enum Shape { Circle { center: Point, radius: f64 }, Rectangle { top_left: Point, bottom_right: Point } } fn area(sh: Shape) -> f64 { match sh { Circle { radius: radius, .. } => f64::consts::PI * square(radius), Rectangle { top_left: top_left, bottom_right: bottom_right } => { (bottom_right.x - top_left.x) * (top_left.y - bottom_right.y) } } }
Note: This feature of the compiler is currently gated behind the
#[feature(struct_variant)]directive. More about these directives can be found in the manual.
Tuples in Rust behave exactly like structs, except that their fields do not
have names. Thus, you cannot access their fields with dot notation. Tuples
can have any arity (number of elements) except for 0 (though you may consider
unit, (), as the empty tuple if you like).
let mytup: (int, int, f64) = (10, 20, 30.0); match mytup { (a, b, c) => println!("{}", a + b + (c as int)) }
Rust also has tuple structs, which behave like both structs and tuples,
except that, unlike tuples, tuple structs have names (so Foo(1, 2) has a
different type from Bar(1, 2)), and tuple structs' fields do not have
names.
For example:
struct MyTup(int, int, f64); let mytup: MyTup = MyTup(10, 20, 30.0); match mytup { MyTup(a, b, c) => println!("{}", a + b + (c as int)) }
There is a special case for tuple structs with a single field, which are sometimes called "newtypes" (after Haskell's "newtype" feature). These are used to define new types in such a way that the new name is not just a synonym for an existing type but is rather its own distinct type.
struct GizmoId(int);
Types like this can be useful to differentiate between data that have the same underlying type but must be used in different ways.
struct Inches(int); struct Centimeters(int);
The above definitions allow for a simple way for programs to avoid confusing numbers that correspond to different units. Their integer values can be extracted with pattern matching:
let length_with_unit = Inches(10); let Inches(integer_length) = length_with_unit; println!("length is {} inches", integer_length);
We've already seen several function definitions. Like all other static
declarations, such as type, functions can be declared both at the
top level and inside other functions (or in modules, which we'll come
back to later). The fn keyword introduces a
function. A function has an argument list, which is a parenthesized
list of name: type pairs separated by commas. An arrow ->
separates the argument list and the function's return type.
fn line(a: int, b: int, x: int) -> int { return a * x + b; }
The return keyword immediately returns from the body of a function. It
is optionally followed by an expression to return. A function can
also return a value by having its top-level block produce an
expression.
fn line(a: int, b: int, x: int) -> int { a * x + b }
It's better Rust style to write a return value this way instead of
writing an explicit return. The utility of return comes in when
returning early from a function. Functions that do not return a value
are said to return unit, (), and both the return type and the return
value may be omitted from the definition. The following two functions
are equivalent.
fn do_nothing_the_hard_way() -> () { return (); } fn do_nothing_the_easy_way() { }
Ending the function with a semicolon like so is equivalent to returning ().
fn line(a: int, b: int, x: int) -> int { a * x + b } fn oops(a: int, b: int, x: int) -> () { a * x + b; } assert!(8 == line(5, 3, 1)); assert!(() == oops(5, 3, 1));
As with match expressions and let bindings, function arguments support
pattern destructuring. Like let, argument patterns must be irrefutable,
as in this example that unpacks the first value from a tuple and returns it.
fn first((value, _): (int, f64)) -> int { value }
A destructor is a function responsible for cleaning up the resources used by an object when it is no longer accessible. Destructors can be defined to handle the release of resources like files, sockets and heap memory.
Objects are never accessible after their destructor has been called, so no dynamic failures are possible from accessing freed resources. When a task fails, destructors of all objects in the task are called.
The ~ sigil represents a unique handle for a memory allocation on the heap:
{
// an integer allocated on the heap
let y = ~10;
}
// the destructor frees the heap memory as soon as `y` goes out of scope
Rust includes syntax for heap memory allocation in the language since it's commonly used, but the same semantics can be implemented by a type with a custom destructor.
Rust formalizes the concept of object ownership to delegate management of an object's lifetime to either a variable or a task-local garbage collector. An object's owner is responsible for managing the lifetime of the object by calling the destructor, and the owner determines whether the object is mutable.
Ownership is recursive, so mutability is inherited recursively and a destructor destroys the contained tree of owned objects. Variables are top-level owners and destroy the contained object when they go out of scope.
// the struct owns the objects contained in the `x` and `y` fields struct Foo { x: int, y: ~int } { // `a` is the owner of the struct, and thus the owner of the struct's fields let a = Foo { x: 5, y: ~10 }; } // when `a` goes out of scope, the destructor for the `~int` in the struct's // field is called // `b` is mutable, and the mutability is inherited by the objects it owns let mut b = Foo { x: 5, y: ~10 }; b.x = 10;
If an object doesn't contain any non-Send types, it consists of a single
ownership tree and is itself given the Send trait which allows it to be sent
between tasks. Custom destructors can only be implemented directly on types
that are Send, but non-Send types can still contain types with custom
destructors. Example of types which are not Send are Gc<T> and
Rc<T>, the shared-ownership types.
An enum is a natural fit for describing a linked list, because it can express
a List type as being either the end of the list (Nil) or another node
(Cons). The full definition of the Cons variant will require some thought.
enum List { Cons(...), // an incomplete definition of the next element in a List Nil // the end of a List }
The obvious approach is to define Cons as containing an element in the list
along with the next List node. However, this will generate a compiler error.
// error: illegal recursive enum type; wrap the inner value in a box to make it representable enum List { Cons(u32, List), // an element (`u32`) and the next node in the list Nil }
This error message is related to Rust's precise control over memory layout, and solving it will require introducing the concept of boxing.
A value in Rust is stored directly inside the owner. If a struct contains
four u32 fields, it will be four times as large as a single u32.
use std::mem::size_of; // bring `size_of` into the current scope, for convenience struct Foo { a: u32, b: u32, c: u32, d: u32 } assert_eq!(size_of::<Foo>(), size_of::<u32>() * 4); struct Bar { a: Foo, b: Foo, c: Foo, d: Foo } assert_eq!(size_of::<Bar>(), size_of::<u32>() * 16);
Our previous attempt at defining the List type included an u32 and a List
directly inside Cons, making it at least as big as the sum of both types. The
type was invalid because the size was infinite!
An owned box (~) uses a dynamic memory allocation to provide the invariant
of always being the size of a pointer, regardless of the contained type. This
can be leveraged to create a valid List definition:
enum List { Cons(u32, ~List), Nil }
Defining a recursive data structure like this is the canonical example of an owned box. Much like an unboxed value, an owned box has a single owner and is therefore limited to expressing a tree-like data structure.
Consider an instance of our List type:
let list = Cons(1, ~Cons(2, ~Cons(3, ~Nil)));
It represents an owned tree of values, inheriting mutability down the tree and
being destroyed along with the owner. Since the list variable above is
immutable, the whole list is immutable. The memory allocation itself is the
box, while the owner holds onto a pointer to it:
List box List box List box List box
+--------------+ +--------------+ +--------------+ +--------------+
list -> | Cons | 1 | ~ | -> | Cons | 2 | ~ | -> | Cons | 3 | ~ | -> | Nil |
+--------------+ +--------------+ +--------------+ +--------------+Note: the above diagram shows the logical contents of the enum. The actual memory layout of the enum may vary. For example, for the
Listenum shown above, Rust guarantees that there will be no enum tag field in the actual structure. See the language reference for more details.
An owned box is a common example of a type with a destructor. The allocated memory is cleaned up when the box is destroyed.
Rust uses a shallow copy for parameter passing, assignment and returning from
functions. Passing around the List will copy only as deep as the pointer to
the box rather than doing an implicit heap allocation.
let xs = Cons(1, ~Cons(2, ~Cons(3, ~Nil))); let ys = xs; // copies `Cons(u32, pointer)` shallowly
Rust will consider a shallow copy of a type with a destructor like List to
move ownership of the value. After a value has been moved, the source
location cannot be used unless it is reinitialized.
let mut xs = Nil; let ys = xs; // attempting to use `xs` will result in an error here xs = Nil; // `xs` can be used again
A destructor call will only occur for a variable that has not been moved from, as it is only called a single time.
Avoiding a move can be done with the library-defined clone method:
let x = ~5; let y = x.clone(); // `y` is a newly allocated box let z = x; // no new memory allocated, `x` can no longer be used
The clone method is provided by the Clone trait, and can be derived for
our List type. Traits will be explained in detail later.
#[deriving(Clone)] enum List { Cons(u32, ~List), Nil } let x = Cons(5, ~Nil); let y = x.clone(); // `x` can still be used! let z = x; // and now, it can no longer be used since it has been moved
The mutability of a value may be changed by moving it to a new owner:
let r = ~13; let mut s = r; // box becomes mutable *s += 1; let t = s; // box becomes immutable
A simple way to define a function prepending to the List type is to take
advantage of moves:
enum List { Cons(u32, ~List), Nil } fn prepend(xs: List, value: u32) -> List { Cons(value, ~xs) } let mut xs = Nil; xs = prepend(xs, 1); xs = prepend(xs, 2); xs = prepend(xs, 3);
However, this is not a very flexible definition of prepend as it requires
ownership of a list to be passed in rather than just mutating it in-place.
The obvious signature for a List equality comparison is the following:
fn eq(xs: List, ys: List) -> bool { /* ... */ }
However, this will cause both lists to be moved into the function. Ownership isn't required to compare the lists, so the function should take references (&T) instead.
fn eq(xs: &List, ys: &List) -> bool { /* ... */ }
A reference is a non-owning view of a value. A reference can be obtained with the & (address-of)
operator. It can be dereferenced by using the * operator. In a pattern, such as match expression
branches, the ref keyword can be used to bind to a variable name by-reference rather than
by-value. A recursive definition of equality using references is as follows:
fn eq(xs: &List, ys: &List) -> bool { // Match on the next node in both lists. match (xs, ys) { // If we have reached the end of both lists, they are equal. (&Nil, &Nil) => true, // If the current element in both lists is equal, keep going. (&Cons(x, ~ref next_xs), &Cons(y, ~ref next_ys)) if x == y => eq(next_xs, next_ys), // If the current elements are not equal, the lists are not equal. _ => false } } let xs = Cons(5, ~Cons(10, ~Nil)); let ys = Cons(5, ~Cons(10, ~Nil)); assert!(eq(&xs, &ys));
Note: Rust doesn't guarantee tail-call optimization, but LLVM is able to handle a simple case like this with optimizations enabled.
Our List type is currently always a list of 32-bit unsigned integers. By
leveraging Rust's support for generics, it can be extended to work for any
element type.
The u32 in the previous definition can be substituted with a type parameter:
Note: The following code introduces generics, which are explained in a dedicated section.
enum List<T> { Cons(T, ~List<T>), Nil }
The old List of u32 is now available as List<u32>. The prepend
definition has to be updated too:
fn prepend<T>(xs: List<T>, value: T) -> List<T> { Cons(value, ~xs) }
Generic functions and types like this are equivalent to defining specialized versions for each set of type parameters.
Using the generic List<T> works much like before, thanks to type inference:
let mut xs = Nil; // Unknown type! This is a `List<T>`, but `T` can be anything. xs = prepend(xs, 10); // The compiler infers the type of `xs` as `List<int>` from this. xs = prepend(xs, 15); xs = prepend(xs, 20);
The code sample above demonstrates type inference making most type annotations optional. It is equivalent to the following type-annotated code:
let mut xs: List<int> = Nil::<int>; xs = prepend::<int>(xs, 10); xs = prepend::<int>(xs, 15); xs = prepend::<int>(xs, 20);
In declarations, the language uses Type<T, U, V> to describe a list of type
parameters, but expressions use identifier::<T, U, V>, to disambiguate the
< operator.
Generic functions are type-checked from the definition, so any necessary properties of the type must
be specified up-front. Our previous definition of list equality relied on the element type having
the == operator available, and took advantage of the lack of a destructor on u32 to copy it
without a move of ownership.
We can add a trait bound on the Eq trait to require that the type implement the == operator.
Two more ref annotations need to be added to avoid attempting to move out the element types:
fn eq<T: Eq>(xs: &List<T>, ys: &List<T>) -> bool { // Match on the next node in both lists. match (xs, ys) { // If we have reached the end of both lists, they are equal. (&Nil, &Nil) => true, // If the current element in both lists is equal, keep going. (&Cons(ref x, ~ref next_xs), &Cons(ref y, ~ref next_ys)) if x == y => eq(next_xs, next_ys), // If the current elements are not equal, the lists are not equal. _ => false } } let xs = Cons('c', ~Cons('a', ~Cons('t', ~Nil))); let ys = Cons('c', ~Cons('a', ~Cons('t', ~Nil))); assert!(eq(&xs, &ys));
This would be a good opportunity to implement the Eq trait for our list type, making the == and
!= operators available. We'll need to provide an impl for the Eq trait and a definition of the
eq method. In a method, the self parameter refers to an instance of the type we're implementing
on.
impl<T: Eq> Eq for List<T> { fn eq(&self, ys: &List<T>) -> bool { // Match on the next node in both lists. match (self, ys) { // If we have reached the end of both lists, they are equal. (&Nil, &Nil) => true, // If the current element in both lists is equal, keep going. (&Cons(ref x, ~ref next_xs), &Cons(ref y, ~ref next_ys)) if x == y => next_xs == next_ys, // If the current elements are not equal, the lists are not equal. _ => false } } } let xs = Cons(5, ~Cons(10, ~Nil)); let ys = Cons(5, ~Cons(10, ~Nil)); // The methods below are part of the Eq trait, // which we implemented on our linked list. assert!(xs.eq(&ys)); assert!(!xs.ne(&ys)); // The Eq trait also allows us to use the shorthand infix operators. assert!(xs == ys); // `xs == ys` is short for `xs.eq(&ys)` assert!(!(xs != ys)); // `xs != ys` is short for `xs.ne(&ys)`
The most common use case for owned boxes is creating recursive data structures like a binary search tree. Rust's trait-based generics system (covered later in the tutorial) is usually used for static dispatch, but also provides dynamic dispatch via boxing. Values of different types may have different sizes, but a box is able to erase the difference via the layer of indirection they provide.
In uncommon cases, the indirection can provide a performance gain or memory reduction by making values smaller. However, unboxed values should almost always be preferred when they are usable.
Note that returning large unboxed values via boxes is unnecessary. A large value is returned via a hidden output parameter, and the decision on where to place the return value should be left to the caller:
fn foo() -> (u64, u64, u64, u64, u64, u64) { (5, 5, 5, 5, 5, 5) } let x = ~foo(); // allocates a `~` box, and writes the integers directly to it
Beyond the properties granted by the size, an owned box behaves as a regular value by inheriting the mutability and lifetime of the owner:
let x = 5; // immutable let mut y = 5; // mutable y += 2; let x = ~5; // immutable let mut y = ~5; // mutable *y += 2; // the `*` operator is needed to access the contained value
In contrast with owned boxes, where the holder of an owned box is the owner of the pointed-to memory, references never imply ownership - they are "borrowed". You can borrow a reference to any object, and the compiler verifies that it cannot outlive the lifetime of the object.
As an example, consider a simple struct type, Point:
struct Point { x: f64, y: f64 }
We can use this simple definition to allocate points in many different ways. For example, in this code, each of these three local variables contains a point, but allocated in a different location:
let on_the_stack : Point = Point { x: 3.0, y: 4.0 }; let managed_box : @Point = @Point { x: 5.0, y: 1.0 }; let owned_box : ~Point = ~Point { x: 7.0, y: 9.0 };
Suppose we want to write a procedure that computes the distance
between any two points, no matter where they are stored. For example,
we might like to compute the distance between on_the_stack and
managed_box, or between managed_box and owned_box. One option is
to define a function that takes two arguments of type point—that is,
it takes the points by value. But this will cause the points to be
copied when we call the function. For points, this is probably not so
bad, but often copies are expensive. So we’d like to define a function
that takes the points by pointer. We can use references to do this:
use std::num::sqrt; fn compute_distance(p1: &Point, p2: &Point) -> f64 { let x_d = p1.x - p2.x; let y_d = p1.y - p2.y; sqrt(x_d * x_d + y_d * y_d) }
Now we can call compute_distance() in various ways:
compute_distance(&on_the_stack, managed_box); compute_distance(managed_box, owned_box);
Here the & operator is used to take the address of the variable
on_the_stack; this is because on_the_stack has the type Point
(that is, a struct value) and we have to take its address to get a
reference. We also call this borrowing the local variable
on_the_stack, because we are creating an alias: that is, another
route to the same data.
In the case of the boxes managed_box and owned_box, however, no
explicit action is necessary. The compiler will automatically convert
a box like @point or ~point to a reference like
&point. This is another form of borrowing; in this case, the
contents of the managed/owned box are being lent out.
Whenever a value is borrowed, there are some limitations on what you can do with the original. For example, if the contents of a variable have been lent out, you cannot send that variable to another task, nor will you be permitted to take actions that might cause the borrowed value to be freed or to change its type. This rule should make intuitive sense: you must wait for a borrowed value to be returned (that is, for the reference to go out of scope) before you can make full use of it again.
For a more in-depth explanation of references and lifetimes, read the references and lifetimes guide.
Lending an &-pointer to an object freezes it and prevents mutation—even if the object was declared as mut.
Freeze objects have freezing enforced statically at compile-time. An example
of a non-Freeze type is RefCell<T>.
let mut x = 5; { let y = &x; // `x` is now frozen. It cannot be modified or re-assigned. } // `x` is now unfrozen again
Rust uses the unary star operator (*) to access the contents of a
box or pointer, similarly to C.
let managed = @10; let owned = ~20; let borrowed = &30; let sum = *managed + *owned + *borrowed;
Dereferenced mutable pointers may appear on the left hand side of assignments. Such an assignment modifies the value that the pointer points to.
let managed = @10; let mut owned = ~20; let mut value = 30; let borrowed = &mut value; *owned = *borrowed + 100; *borrowed = *managed + 1000;
Pointers have high operator precedence, but lower precedence than the dot operator used for field and method access. This precedence order can sometimes make code awkward and parenthesis-filled.
let start = @Point { x: 10.0, y: 20.0 }; let end = ~Point { x: (*start).x + 100.0, y: (*start).y + 100.0 }; let rect = &Rectangle(*start, *end); let area = (*rect).area();
To combat this ugliness the dot operator applies automatic pointer dereferencing to the receiver (the value on the left-hand side of the dot), so in most cases, explicitly dereferencing the receiver is not necessary.
let start = @Point { x: 10.0, y: 20.0 }; let end = ~Point { x: start.x + 100.0, y: start.y + 100.0 }; let rect = &Rectangle(*start, *end); let area = rect.area();
You can write an expression that dereferences any number of pointers automatically. For example, if you feel inclined, you could write something silly like
let point = &@~Point { x: 10.0, y: 20.0 }; println!("{:f}", point.x);
The indexing operator ([]) also auto-dereferences.
A vector is a contiguous block of memory containing zero or more values of the same type. Rust also supports vector reference types, called slices, which are a view into a block of memory represented as a pointer and a length.
Strings are represented as vectors of u8, with the guarantee of containing a
valid UTF-8 sequence.
Fixed-size vectors are an unboxed block of memory, with the element length as part of the type. A fixed-size vector owns the elements it contains, so the elements are mutable if the vector is mutable. Fixed-size strings do not exist.
// A fixed-size vector let numbers = [1, 2, 3]; let more_numbers = numbers; // The type of a fixed-size vector is written as `[Type, ..length]` let five_zeroes: [int, ..5] = [0, ..5];
A unique vector is dynamically sized, and has a destructor to clean up allocated memory on the heap. A unique vector owns the elements it contains, so the elements are mutable if the vector is mutable.
// A dynamically sized vector (unique vector) let mut numbers = ~[1, 2, 3]; numbers.push(4); numbers.push(5); // The type of a unique vector is written as `~[int]` let more_numbers: ~[int] = numbers; // The original `numbers` value can no longer be used, due to move semantics. let mut string = ~"fo"; string.push_char('o');
Slices are similar to fixed-size vectors, but the length is not part of the type. They simply point into a block of memory and do not have ownership over the elements.
// A slice let xs = &[1, 2, 3]; // Slices have their type written as `&[int]` let ys: &[int] = xs; // Other vector types coerce to slices let three = [1, 2, 3]; let zs: &[int] = three; // An unadorned string literal is an immutable string slice let string = "foobar"; // A string slice type is written as `&str` let view: &str = string.slice(0, 3);
Mutable slices also exist, just as there are mutable references. However, there are no mutable string slices. Strings are a multi-byte encoding (UTF-8) of Unicode code points, so they cannot be freely mutated without the ability to alter the length.
let mut xs = [1, 2, 3]; let view = xs.mut_slice(0, 2); view[0] = 5; // The type of a mutable slice is written as `&mut [T]` let ys: &mut [int] = &mut [1, 2, 3];
Square brackets denote indexing into a vector:
let crayons: [Crayon, ..3] = [BananaMania, Beaver, Bittersweet]; match crayons[0] { Bittersweet => draw_scene(crayons[0]), _ => () }
A vector can be destructured using pattern matching:
let numbers: &[int] = &[1, 2, 3]; let score = match numbers { [] => 0, [a] => a * 10, [a, b] => a * 6 + b * 4, [a, b, c, ..rest] => a * 5 + b * 3 + c * 2 + rest.len() as int };
Both vectors and strings support a number of useful methods,
defined in std::vec and std::str.
Ownership can cleanly describe tree-like data structures, and references provide non-owning pointers. However, more flexibility is often desired and Rust provides ways to escape from strict single parent ownership.
The standard library provides the std::rc::Rc pointer type to express shared ownership over a
reference counted box. As soon as all of the Rc pointers go out of scope, the box and the
contained value are destroyed.
use std::rc::Rc; // A fixed-size array allocated in a reference-counted box let x = Rc::new([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]); let y = x.clone(); // a new owner let z = x; // this moves `x` into `z`, rather than creating a new owner assert!(*z == [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]); // the variable is mutable, but not the contents of the box let mut a = Rc::new([10, 9, 8, 7, 6, 5, 4, 3, 2, 1]); a = z;
A garbage collected pointer is provided via std::gc::Gc, with a task-local garbage collector
having ownership of the box. It allows the creation of cycles, and the individual Gc pointers do
not have a destructor.
use std::gc::Gc; // A fixed-size array allocated in a garbage-collected box let x = Gc::new([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]); let y = x; // does not perform a move, unlike with `Rc` let z = x; assert!(*z.borrow() == [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]);
With shared ownership, mutability cannot be inherited so the boxes are always immutable. However,
it's possible to use dynamic mutability via types like std::cell::Cell where freezing is handled
via dynamic checks and can fail at runtime.
The Rc and Gc types are not sendable, so they cannot be used to share memory between tasks. Safe
immutable and mutable shared memory is provided by the extra::arc module.
Named functions, like those we've seen so far, may not refer to local variables declared outside the function: they do not close over their environment (sometimes referred to as "capturing" variables in their environment). For example, you couldn't write the following:
let foo = 10; fn bar() -> int { return foo; // `bar` cannot refer to `foo` }
Rust also supports closures, functions that can access variables in the enclosing scope.
fn call_closure_with_ten(b: |int|) { b(10); } let captured_var = 20; let closure = |arg| println!("captured_var={}, arg={}", captured_var, arg); call_closure_with_ten(closure);
Closures begin with the argument list between vertical bars and are followed by
a single expression. Remember that a block, { <expr1>; <expr2>; ... }, is
considered a single expression: it evaluates to the result of the last
expression it contains if that expression is not followed by a semicolon,
otherwise the block evaluates to ().
The types of the arguments are generally omitted, as is the return type, because the compiler can almost always infer them. In the rare case where the compiler needs assistance, though, the arguments and return types may be annotated.
let square = |x: int| -> uint { (x * x) as uint };
There are several forms of closure, each with its own role. The most
common, called a stack closure, has type || and can directly
access local variables in the enclosing scope.
let mut max = 0; let f = |x: int| if x > max { max = x }; for x in [1, 2, 3].iter() { f(*x); }
Stack closures are very efficient because their environment is allocated on the call stack and refers by pointer to captured locals. To ensure that stack closures never outlive the local variables to which they refer, stack closures are not first-class. That is, they can only be used in argument position; they cannot be stored in data structures or returned from functions. Despite these limitations, stack closures are used pervasively in Rust code.
Owned closures, written proc,
hold on to things that can safely be sent between
processes. They copy the values they close over, much like managed
closures, but they also own them: that is, no other code can access
them. Owned closures are used in concurrent code, particularly
for spawning tasks.
Closures can be used to spawn tasks.
A practical example of this pattern is found when using the spawn function,
which starts a new task.
use std::task::spawn; // proc is the closure which will be spawned. spawn(proc() { println!("I'm a new task") });
Note: If you want to see the output of
debug!statements, you will need to turn ondebug!logging. To enabledebug!logging, set the RUST_LOG environment variable to the name of your crate, which, for a file namedfoo.rs, will befoo(e.g., with bash,export RUST_LOG=foo).
Rust closures have a convenient subtyping property: you can pass any kind of
closure (as long as the arguments and return types match) to functions
that expect a ||. Thus, when writing a higher-order function that
only calls its function argument, and does nothing else with it, you
should almost always declare the type of that argument as ||. That way,
callers may pass any kind of closure.
fn call_twice(f: ||) { f(); f(); } let closure = || { "I'm a closure, and it doesn't matter what type I am"; }; fn function() { "I'm a normal function"; } call_twice(closure); call_twice(function);
Note: Both the syntax and the semantics will be changing in small ways. At the moment they can be unsound in some scenarios, particularly with non-copyable types.
Methods are like functions except that they always begin with a special argument,
called self,
which has the type of the method's receiver. The
self argument is like this in C++ and many other languages.
Methods are called with dot notation, as in my_vec.len().
Implementations, written with the impl keyword, can define
methods on most Rust types, including structs and enums.
As an example, let's define a draw method on our Shape enum.
struct Point { x: f64, y: f64 } enum Shape { Circle(Point, f64), Rectangle(Point, Point) } impl Shape { fn draw(&self) { match *self { Circle(p, f) => draw_circle(p, f), Rectangle(p1, p2) => draw_rectangle(p1, p2) } } } let s = Circle(Point { x: 1.0, y: 2.0 }, 3.0); s.draw();
This defines an implementation for Shape containing a single
method, draw. In most respects the draw method is defined
like any other function, except for the name self.
The type of self is the type on which the method is implemented,
or a pointer thereof. As an argument it is written either self,
&self, or ~self.
A caller must in turn have a compatible pointer type to call the method.
impl Shape { fn draw_reference(&self) { /* ... */ } fn draw_owned(~self) { /* ... */ } fn draw_value(self) { /* ... */ } } let s = Circle(Point { x: 1.0, y: 2.0 }, 3.0); (~s).draw_owned(); (&s).draw_reference(); s.draw_value();
Methods typically take a reference self type, so the compiler will go to great lengths to convert a callee to a reference.
// As with typical function arguments, managed and owned pointers // are automatically converted to references (@s).draw_reference(); (~s).draw_reference(); // Unlike typical function arguments, the self value will // automatically be referenced ... s.draw_reference(); // ... and dereferenced (& &s).draw_reference(); // ... and dereferenced and borrowed (&@~s).draw_reference();
Implementations may also define standalone (sometimes called "static")
methods. The absence of a self parameter distinguishes such methods.
These methods are the preferred way to define constructor functions.
impl Circle { fn area(&self) -> f64 { /* ... */ } fn new(area: f64) -> Circle { /* ... */ } }
To call such a method, just prefix it with the type name and a double colon:
use std::f64::consts::PI; struct Circle { radius: f64 } impl Circle { fn new(area: f64) -> Circle { Circle { radius: (area / PI).sqrt() } } } let c = Circle::new(42.5);
Throughout this tutorial, we've been defining functions that act only
on specific data types. With type parameters we can also define
functions whose arguments have generic types, and which can be invoked
with a variety of types. Consider a generic map function, which
takes a function function and a vector vector and returns a new
vector consisting of the result of applying function to each element
of vector:
fn map<T, U>(vector: &[T], function: |v: &T| -> U) -> ~[U] { let mut accumulator = ~[]; for element in vector.iter() { accumulator.push(function(element)); } return accumulator; }
When defined with type parameters, as denoted by <T, U>, this
function can be applied to any type of vector, as long as the type of
function's argument and the type of the vector's contents agree with
each other.
Inside a generic function, the names of the type parameters
(capitalized by convention) stand for opaque types. All you can do
with instances of these types is pass them around: you can't apply any
operations to them or pattern-match on them. Note that instances of
generic types are often passed by pointer. For example, the parameter
function() is supplied with a pointer to a value of type T and not
a value of type T itself. This ensures that the function works with
the broadest set of types possible, since some types are expensive or
illegal to copy and pass by value.
Generic type, struct, and enum declarations follow the same pattern:
extern crate collections; type Set<T> = collections::HashMap<T, ()>; struct Stack<T> { elements: ~[T] } enum Option<T> { Some(T), None }
These declarations can be instantiated to valid types like Set<int>,
Stack<int>, and Option<int>.
The last type in that example, Option, appears frequently in Rust code.
Because Rust does not have null pointers (except in unsafe code), we need
another way to write a function whose result isn't defined on every possible
combination of arguments of the appropriate types. The usual way is to write
a function that returns Option<T> instead of T.
fn radius(shape: Shape) -> Option<f64> { match shape { Circle(_, radius) => Some(radius), Rectangle(..) => None } }
The Rust compiler compiles generic functions very efficiently by monomorphizing them. Monomorphization is a fancy name for a simple idea: generate a separate copy of each generic function at each call site, a copy that is specialized to the argument types and can thus be optimized specifically for them. In this respect, Rust's generics have similar performance characteristics to C++ templates.
Within a generic function—that is, a function parameterized by a
type parameter, say, T—the operations we can do on arguments of
type T are quite limited. After all, since we don't know what type
T will be instantiated with, we can't safely modify or query values
of type T. This is where traits come into play. Traits are Rust's
most powerful tool for writing polymorphic code. Java developers will
see them as similar to Java interfaces, and Haskellers will notice
their similarities to type classes. Rust's traits give us a way to
express bounded polymorphism: by limiting the set of possible types
that a type parameter could refer to, they expand the number of
operations we can safely perform on arguments of that type.
As motivation, let us consider copying of values in Rust. The clone
method is not defined for values of every type. One reason is
user-defined destructors: copying a value of a type that has a
destructor could result in the destructor running multiple times.
Therefore, values of types that have destructors cannot be copied
unless we explicitly implement clone for them.
This complicates handling of generic functions.
If we have a function with a type parameter T,
can we copy values of type T inside that function?
In Rust, we can't,
and if we try to run the following code the compiler will complain.
// This does not compile fn head_bad<T>(v: &[T]) -> T { v[0] // error: copying a non-copyable value }
However, we can tell the compiler
that the head function is only for copyable types.
In Rust, copyable types are those that implement the Clone trait.
We can then explicitly create a second copy of the value we are returning
by calling the clone method:
// This does fn head<T: Clone>(v: &[T]) -> T { v[0].clone() }
The bounded type parameter T: Clone says that head
can be called on an argument of type &[T] for any T,
so long as there is an implementation of the
Clone trait for T.
When instantiating a generic function,
we can only instantiate it with types
that implement the correct trait,
so we could not apply head to a vector whose elements are of some type
that does not implement Clone.
While most traits can be defined and implemented by user code, three traits are automatically derived and implemented for all applicable types by the compiler, and may not be overridden:
Send - Sendable types.
Types are sendable
unless they contain managed boxes, managed closures, or references.
Share - Types that are threadsafe
These are types that are safe to be used across several threads with access to
a &T pointer. MutexArc is an example of a sharable type with internal mutable data.
'static - Non-borrowed types.
These are types that do not contain any data whose lifetime is bound to
a particular stack frame. These are types that do not contain any
references, or types where the only contained references
have the 'static lifetime. (For more on named lifetimes and their uses,
see the references and lifetimes guide.)
Note: These two traits were referred to as 'kinds' in earlier iterations of the language, and often still are.
Additionally, the Drop trait is used to define destructors. This
trait provides one method called drop, which is automatically
called when a value of the type that implements this trait is
destroyed, either because the value went out of scope or because the
garbage collector reclaimed it.
struct TimeBomb { explosivity: uint } impl Drop for TimeBomb { fn drop(&mut self) { for _ in range(0, self.explosivity) { println!("blam!"); } } }
It is illegal to call drop directly. Only code inserted by the compiler
may call it.
At its simplest, a trait is a set of zero or more method signatures.
For example, we could declare the trait
Printable for things that can be printed to the console,
with a single method signature:
trait Printable { fn print(&self); }
We say that the Printable trait provides a print method with the
given signature. This means that we can call print on an argument
of any type that implements the Printable trait.
Rust's built-in Send and Share types are examples of traits that
don't provide any methods.
Traits may be implemented for specific types with impls. An impl for
a particular trait gives an implementation of the methods that
trait provides. For instance, the following impls of
Printable for int and ~str give implementations of the print
method.
impl Printable for int { fn print(&self) { println!("{:?}", *self) } } impl Printable for ~str { fn print(&self) { println!("{}", *self) } }
Methods defined in an impl for a trait may be called just like
any other method, using dot notation, as in 1.print().
Sometimes, a method that a trait provides will have the same
implementation for most or all of the types that implement that trait.
For instance, suppose that we wanted bools and f32s to be
printable, and that we wanted the implementation of print for those
types to be exactly as it is for int, above:
impl Printable for f32 { fn print(&self) { println!("{:?}", *self) } } impl Printable for bool { fn print(&self) { println!("{:?}", *self) } }
This works fine, but we've now repeated the same definition of print
in three places. Instead of doing that, we can simply include the
definition of print right in the trait definition, instead of just
giving its signature. That is, we can write the following:
trait Printable { // Default method implementation fn print(&self) { println!("{:?}", *self) } } impl Printable for int {} impl Printable for ~str { fn print(&self) { println!("{}", *self) } } impl Printable for bool {} impl Printable for f32 {}
Here, the impls of Printable for int, bool, and f32 don't
need to provide an implementation of print, because in the absence
of a specific implementation, Rust just uses the default method
provided in the trait definition. Depending on the trait, default
methods can save a great deal of boilerplate code from having to be
written in impls. Of course, individual impls can still override the
default method for print, as is being done above in the impl for
~str.
Traits may be parameterized by type variables. For example, a trait for generalized sequence types might look like the following:
trait Seq<T> { fn length(&self) -> uint; } impl<T> Seq<T> for ~[T] { fn length(&self) -> uint { self.len() } }
The implementation has to explicitly declare the type parameter that
it binds, T, before using it to specify its trait type. Rust
requires this declaration because the impl could also, for example,
specify an implementation of Seq<int>. The trait type (appearing
between impl and for) refers to a type, rather than
defining one.
The type parameters bound by a trait are in scope in each of the
method declarations. So, re-declaring the type parameter
T as an explicit type parameter for len, in either the trait or
the impl, would be a compile-time error.
Within a trait definition, Self is a special type that you can think
of as a type parameter. An implementation of the trait for any given
type T replaces the Self type parameter with T. The following
trait describes types that support an equality operation:
// In a trait, `self` refers to the self argument. // `Self` refers to the type implementing the trait. trait Eq { fn equals(&self, other: &Self) -> bool; } // In an impl, `self` refers just to the value of the receiver impl Eq for int { fn equals(&self, other: &int) -> bool { *other == *self } }
Notice that in the trait definition, equals takes a
second parameter of type Self.
In contrast, in the impl, equals takes a second parameter of
type int, only using self as the name of the receiver.
Just as in type implementations, traits can define standalone (static) methods. These methods are called by prefixing the method name with the trait name and a double colon. The compiler uses type inference to decide which implementation to use.
use std::f64::consts::PI; trait Shape { fn new(area: f64) -> Self; } struct Circle { radius: f64 } struct Square { length: f64 } impl Shape for Circle { fn new(area: f64) -> Circle { Circle { radius: (area / PI).sqrt() } } } impl Shape for Square { fn new(area: f64) -> Square { Square { length: (area).sqrt() } } } let area = 42.5; let c: Circle = Shape::new(area); let s: Square = Shape::new(area);
Traits give us a language for defining predicates on types, or abstract properties that types can have. We can use this language to define bounds on type parameters, so that we can then operate on generic types.
fn print_all<T: Printable>(printable_things: ~[T]) { for thing in printable_things.iter() { thing.print(); } }
Declaring T as conforming to the Printable trait (as we earlier
did with Clone) makes it possible to call methods from that trait
on values of type T inside the function. It will also cause a
compile-time error when anyone tries to call print_all on an array
whose element type does not have a Printable implementation.
Type parameters can have multiple bounds by separating them with +,
as in this version of print_all that copies elements.
fn print_all<T: Printable + Clone>(printable_things: ~[T]) { let mut i = 0; while i < printable_things.len() { let copy_of_thing = printable_things[i].clone(); copy_of_thing.print(); i += 1; } }
Method calls to bounded type parameters are statically dispatched, imposing no more overhead than normal function invocation, so are the preferred way to use traits polymorphically.
This usage of traits is similar to Haskell type classes.
The above allows us to define functions that polymorphically act on values of a single unknown type that conforms to a given trait. However, consider this function:
trait Drawable { fn draw(&self); } fn draw_all<T: Drawable>(shapes: ~[T]) { for shape in shapes.iter() { shape.draw(); } }
You can call that on an array of circles, or an array of rectangles
(assuming those have suitable Drawable traits defined), but not on
an array containing both circles and rectangles. When such behavior is
needed, a trait name can alternately be used as a type, called
an object.
fn draw_all(shapes: &[~Drawable]) { for shape in shapes.iter() { shape.draw(); } }
In this example, there is no type parameter. Instead, the ~Drawable
type denotes any owned box value that implements the Drawable trait.
To construct such a value, you use the as operator to cast a value
to an object:
impl Drawable for Circle { fn draw(&self) { /* ... */ } } impl Drawable for Rectangle { fn draw(&self) { /* ... */ } } let c: ~Circle = ~new_circle(); let r: ~Rectangle = ~new_rectangle(); draw_all([c as ~Drawable, r as ~Drawable]);
We omit the code for new_circle and new_rectangle; imagine that
these just return Circles and Rectangles with a default size. Note
that, like strings and vectors, objects have dynamic size and may
only be referred to via one of the pointer types.
Other pointer types work as well.
Casts to traits may only be done with compatible pointers so,
for example, an @Circle may not be cast to an ~Drawable.
// An owned object let owny: ~Drawable = ~new_circle() as ~Drawable; // A borrowed object let stacky: &Drawable = &new_circle() as &Drawable;
Method calls to trait types are dynamically dispatched. Since the compiler doesn't know specifically which functions to call at compile time, it uses a lookup table (also known as a vtable or dictionary) to select the method to call at runtime.
This usage of traits is similar to Java interfaces.
There are some built-in bounds, such as Send and Share, which are properties
of the components of types. By design, trait objects don't know the exact type
of their contents and so the compiler cannot reason about those properties.
You can instruct the compiler, however, that the contents of a trait object must
acribe to a particular bound with a trailing colon (:). These are examples of
valid types:
trait Foo {} trait Bar<T> {} fn sendable_foo(f: ~Foo:Send) { /* ... */ } fn shareable_bar<T: Share>(b: &Bar<T>: Share) { /* ... */ }
When no colon is specified (such as the type ~Foo), it is inferred that the
value ascribes to no bounds. They must be added manually if any bounds are
necessary for usage.
Builtin kind bounds can also be specified on closure types in the same way (for
example, by writing fn:Send()), and the default behaviours are the same as
for traits of the same storage class.
We can write a trait declaration that inherits from other traits, called supertraits.
Types that implement a trait must also implement its supertraits.
For example,
we can define a Circle trait that inherits from Shape.
trait Shape { fn area(&self) -> f64; } trait Circle : Shape { fn radius(&self) -> f64; }
Now, we can implement Circle on a type only if we also implement Shape.
use std::f64::consts::PI; struct CircleStruct { center: Point, radius: f64 } impl Circle for CircleStruct { fn radius(&self) -> f64 { (self.area() / PI).sqrt() } } impl Shape for CircleStruct { fn area(&self) -> f64 { PI * square(self.radius) } }
Notice that methods of Circle can call methods on Shape, as our
radius implementation calls the area method.
This is a silly way to compute the radius of a circle
(since we could just return the radius field), but you get the idea.
In type-parameterized functions,
methods of the supertrait may be called on values of subtrait-bound type parameters.
Refering to the previous example of trait Circle : Shape:
fn radius_times_area<T: Circle>(c: T) -> f64 { // `c` is both a Circle and a Shape c.radius() * c.area() }
Likewise, supertrait methods may also be called on trait objects.
use std::f64::consts::PI; let concrete = @CircleStruct{center:Point{x:3.0,y:4.0},radius:5.0}; let mycircle: @Circle = concrete as @Circle; let nonsense = mycircle.radius() * mycircle.area();
Note: Trait inheritance does not actually work with objects yet
A small number of traits in std and extra can have implementations
that can be automatically derived. These instances are specified by
placing the deriving attribute on a data type declaration. For
example, the following will mean that Circle has an implementation
for Eq and can be used with the equality operators, and that a value
of type ABC can be randomly generated and converted to a string:
#[deriving(Eq)] struct Circle { radius: f64 } #[deriving(Clone, Show)] enum ABC { A, B, C }
The full list of derivable traits is Eq, TotalEq, Ord,
TotalOrd, Encodable Decodable, Clone,
Hash, Rand, Default, Zero, FromPrimitive and Show.
Rust's module system is very powerful, but because of that also somewhat complex. Nevertheless, this section will try to explain every important aspect of it.
In order to speak about the module system, we first need to define the medium it exists in:
Let's say you've written a program or a library, compiled it, and got the resulting binary. In Rust, the content of all source code that the compiler directly had to compile in order to end up with that binary is collectively called a 'crate'.
For example, for a simple hello world program your crate only consists of this code:
// `main.rs` fn main() { println!("Hello world!"); }
A crate is also the unit of independent compilation in Rust: rustc always compiles a single crate at a time,
from which it produces either a library or an executable.
Note that merely using an already compiled library in your code does not make it part of your crate.
For every crate, all the code in it is arranged in a hierarchy of modules starting with a single root module. That root module is called the 'crate root'.
All modules in a crate below the crate root are declared with the mod keyword:
// This is the crate root mod farm { // This is the body of module 'farm' declared in the crate root. fn chicken() { println!("cluck cluck"); } fn cow() { println!("mooo"); } mod barn { // Body of module 'barn' fn hay() { println!("..."); } } } fn main() { println!("Hello farm!"); }
As you can see, your module hierarchy is now three modules deep: There is the crate root, which contains your main()
function, and the module farm. The module farm also contains two functions and a third module barn,
which contains a function hay.
(In case you already stumbled over extern crate: It isn't directly related to a bare mod, we'll get to it later. )
We've now defined a nice module hierarchy. But how do we access the items in it from our main function?
One way to do it is to simply fully qualifying it:
mod farm { fn chicken() { println!("cluck cluck"); } // ... } fn main() { println!("Hello chicken!"); ::farm::chicken(); // Won't compile yet, see further down }
The ::farm::chicken construct is what we call a 'path'.
Because it's starting with a ::, it's also a 'global path', which qualifies
an item by its full path in the module hierarchy relative to the crate root.
If the path were to start with a regular identifier, like farm::chicken, it
would be a 'local path' instead. We'll get to them later.
Now, if you actually tried to compile this code example, you'll notice that you
get a function 'chicken' is private error. That's because by default, items
(fn, struct, static, mod, ...) are private.
To make them visible outside their containing modules, you need to mark them
public with pub:
mod farm { pub fn chicken() { println!("cluck cluck"); } pub fn cow() { println!("mooo"); } // ... } fn main() { println!("Hello chicken!"); ::farm::chicken(); // This compiles now }
Visibility restrictions in Rust exist only at module boundaries. This is quite different from most object-oriented languages that also enforce restrictions on objects themselves. That's not to say that Rust doesn't support encapsulation: both struct fields and methods can be private. But this encapsulation is at the module level, not the struct level.
For convenience, fields are public by default, and can be made private with
the priv keyword:
mod farm { pub struct Farm { priv chickens: ~[Chicken], farmer: Human } impl Farm { fn feed_chickens(&self) { /* ... */ } pub fn add_chicken(&self, c: Chicken) { /* ... */ } } pub fn feed_animals(farm: &Farm) { farm.feed_chickens(); } } fn main() { let f = make_me_a_farm(); f.add_chicken(make_me_a_chicken()); farm::feed_animals(&f); f.farmer.rest(); // This wouldn't compile because both are private: // `f.feed_chickens();` // `let chicken_counter = f.chickens.len();` }
Exact details and specifications about visibility rules can be found in the Rust manual.
One important aspect of Rust's module system is that source files and modules are not the same thing. You define a module hierarchy, populate it with all your definitions, define visibility, maybe put in a fn main(), and that's it.
The only file that's relevant when compiling is the one that contains the body
of your crate root, and it's only relevant because you have to pass that file
to rustc to compile your crate.
In principle, that's all you need: You can write any Rust program as one giant source file that contains your
crate root and everything else in mod ... { ... } declarations.
However, in practice you usually want to split up your code into multiple
source files to make it more manageable. Rust allows you to move the body of
any module into its own source file. If you declare a module without its body,
like mod foo;, the compiler will look for the files foo.rs and foo/mod.rs
inside some directory (usually the same as of the source file containing the
mod foo; declaration). If it finds either, it uses the content of that file
as the body of the module. If it finds both, that's a compile error.
To move the content of mod farm into its own file, you can write:
// `main.rs` - contains body of the crate root mod farm; // Compiler will look for `farm.rs` and `farm/mod.rs` fn main() { println!("Hello farm!"); ::farm::cow(); }
// `farm.rs` - contains body of module 'farm' in the crate root pub fn chicken() { println!("cluck cluck"); } pub fn cow() { println!("mooo"); } pub mod barn { pub fn hay() { println!("..."); } }
In short, mod foo; is just syntactic sugar for mod foo { /* content of <...>/foo.rs or <...>/foo/mod.rs */ }.
This also means that having two or more identical mod foo; declarations
somewhere in your crate hierarchy is generally a bad idea,
just like copy-and-paste-ing a module into multiple places is a bad idea.
Both will result in duplicate and mutually incompatible definitions.
When rustc resolves these module declarations, it starts by looking in the
parent directory of the file containing the mod foo declaration. For example,
given a file with the module body:
// `src/main.rs` mod plants; mod animals { mod fish; mod mammals { mod humans; } }
The compiler will look for these files, in this order:
src/plants.rs
src/plants/mod.rs
src/animals/fish.rs
src/animals/fish/mod.rs
src/animals/mammals/humans.rs
src/animals/mammals/humans/mod.rsKeep in mind that identical module hierarchies can still lead to different path
lookups depending on how and where you've moved a module body to its own file.
For example, if you move the animals module into its own file:
// `src/main.rs` mod plants; mod animals;
// `src/animals.rs` or `src/animals/mod.rs` mod fish; mod mammals { mod humans; }
...then the source files of mod animals's submodules can either be in the same directory as the animals source file or in a subdirectory of its directory. If the animals file is src/animals.rs, rustc will look for:
src/animals.rs
src/fish.rs
src/fish/mod.rs
src/mammals/humans.rs
src/mammals/humans/mod.rsIf the animals file is src/animals/mod.rs, rustc will look for:
src/animals/mod.rs
src/animals/fish.rs
src/animals/fish/mod.rs
src/animals/mammals/humans.rs
src/animals/mammals/humans/mod.rs
These rules allow you to write small modules consisting of single source files which can live in the same directory as well as large modules which group submodule source files in subdirectories.
If you need to override where rustc will look for the file containing a
module's source code, use the path compiler directive. For example, to load a
classified module from a different file:
#[path="../../area51/alien.rs"] mod classified;
Always referring to definitions in other modules with their global
path gets old really fast, so Rust has a way to import
them into the local scope of your module: use-statements.
They work like this: At the beginning of any module body, fn body, or any other block
you can write a list of use-statements, consisting of the keyword use and a global path to an item
without the :: prefix. For example, this imports cow into the local scope:
use farm::cow;
The path you give to use is per default global, meaning relative to the crate root,
no matter how deep the module hierarchy is, or whether the module body it's written in
is contained in its own file (remember: files are irrelevant).
This is different to other languages, where you often only find a single import construct that combines the semantic
of mod foo; and use-statements, and which tend to work relative to the source file or use an absolute file path
- Rubys require or C/C++'s #include come to mind.
However, it's also possible to import things relative to the module of the use-statement:
Adding a super:: in front of the path will start in the parent module,
while adding a self:: prefix will start in the current module:
use super::some_parent_item; use self::some_child_module::some_item;
Again - relative to the module, not to the file.
Imports are also shadowed by local definitions:
For each name you mention in a module/block, rust
will first look at all items that are defined locally,
and only if that results in no match look at items you brought in
scope with corresponding use statements.
use farm::cow; // ... fn cow() { println!("Mooo!") } fn main() { cow() // resolves to the locally defined `cow()` function }
To make this behavior more obvious, the rule has been made that use-statement always need to be written
before any declaration, like in the example above. This is a purely artificial rule introduced
because people always assumed they shadowed each other based on order, despite the fact that all items in rust are
mutually recursive, order independent definitions.
One odd consequence of that rule is that use statements also go in front of any mod declaration,
even if they refer to things inside them:
use farm::cow; mod farm { pub fn cow() { println!("Moooooo?") } } fn main() { cow() }
This is what our farm example looks like with use statements:
use farm::chicken; use farm::cow; use farm::barn; mod farm { pub fn chicken() { println!("cluck cluck"); } pub fn cow() { println!("mooo"); } pub mod barn { pub fn hay() { println!("..."); } } } fn main() { println!("Hello farm!"); // Can now refer to those names directly: chicken(); cow(); barn::hay(); }
And here an example with multiple files:
// `a.rs` - crate root use b::foo; mod b; fn main() { foo(); }
// `b.rs` use b::c::bar; pub mod c; pub fn foo() { bar(); }
// `c.rs` pub fn bar() { println!("Baz!"); }
There also exist two short forms for importing multiple names at once:
use path:use farm::{chicken, cow};
use farm::*;
Note: This feature of the compiler is currently gated behind the
#[feature(globs)]directive. More about these directives can be found in the manual.
However, that's not all. You can also rename an item while you're bringing it into scope:
use egg_layer = farm::chicken; // ... fn main() { egg_layer(); }
In general, use creates an local alias:
An alternate path and a possibly different name to access the same item,
without touching the original, and with both being interchangeable.
It is also possible to reexport items to be accessible under your module.
For that, you write pub use:
mod farm { pub use self::barn::hay; pub fn chicken() { println!("cluck cluck"); } pub fn cow() { println!("mooo"); } mod barn { pub fn hay() { println!("..."); } } } fn main() { farm::chicken(); farm::cow(); farm::hay(); }
Just like in normal use statements, the exported names
merely represent an alias to the same thing and can also be renamed.
The above example also demonstrate what you can use pub use for:
The nested barn module is private, but the pub use allows users
of the module farm to access a function from barn without needing
to know that barn exists.
In other words, you can use them to decouple an public api from their internal implementation.
So far we've only talked about how to define and structure your own crate.
However, most code out there will want to use preexisting libraries, as there really is no reason to start from scratch each time you start a new project.
In Rust terminology, we need a way to refer to other crates.
For that, Rust offers you the extern crate declaration:
extern crate num; // `num` ships with Rust (much like `extra`; more details further down). fn main() { // The rational number '1/2': let one_half = ::num::rational::Ratio::new(1, 2); }
Despite its name, extern crate is a distinct construct from regular mod declarations:
A statement of the form extern crate foo; will cause rustc to search for the crate foo,
and if it finds a matching binary it lets you use it from inside your crate.
The effect it has on your module hierarchy mirrors aspects of both mod and use:
Like mod, it causes rustc to actually emit code:
The linkage information the binary needs to use the library foo.
But like use, all extern crate statements that refer to the same library are interchangeable,
as each one really just presents an alias to an external module (the crate root of the library
you're linking against).
Remember how use-statements have to go before local declarations because the latter shadows the former?
Well, extern crate statements also have their own rules in that regard:
Both use and local declarations can shadow them, so the rule is that extern crate has to go in front
of both use and local declarations.
Which can result in something like this:
extern crate num; use farm::dog; use num::rational::Ratio; mod farm { pub fn dog() { println!("woof"); } } fn main() { farm::dog(); let a_third = Ratio::new(1, 3); }
It's a bit weird, but it's the result of shadowing rules that have been set that way because they model most closely what people expect to shadow.
For every crate you can define a number of metadata items, such as link name, version or author. You can also toggle settings that have crate-global consequences. Both mechanism work by providing attributes in the crate root.
For example, Rust uniquely identifies crates by their link metadata, which includes the link name and the version. It also hashes the filename and the symbols in a binary based on the link metadata, allowing you to use two different versions of the same library in a crate without conflict.
Therefore, if you plan to compile your crate as a library, you should annotate it with that information:
// `lib.rs` #[crate_id = "farm#2.5"]; // ...
You can also specify crate id information in a extern crate statement. For
example, these extern crate statements would both accept and select the
crate define above:
extern crate farm; extern crate farm = "farm#2.5"; extern crate my_farm = "farm";
Other crate settings and metadata include things like enabling/disabling certain errors or warnings, or setting the crate type (library or executable) explicitly:
// `lib.rs` // ... // This crate is a library ("bin" is the default) #[crate_id = "farm#2.5"]; #[crate_type = "lib"]; // Turn on a warning #[warn(non_camel_case_types)]
Now for something that you can actually compile yourself.
We define two crates, and use one of them as a library in the other.
// `world.rs` #[crate_id = "world#0.42"]; pub fn explore() -> &'static str { "world" }
// `main.rs` extern crate world; fn main() { println!("hello {}", world::explore()); }
Now compile and run like this (adjust to your platform if necessary):
> rustc --crate-type=lib world.rs # compiles libworld-<HASH>-0.42.so
> rustc main.rs -L . # compiles main
> ./main
"hello world"Notice that the library produced contains the version in the file name as well as an inscrutable string of alphanumerics. As explained in the previous paragraph, these are both part of Rust's library versioning scheme. The alphanumerics are a hash representing the crate's id.
While reading the examples in this tutorial, you might have asked yourself where all
those magical predefined items like range are coming from.
The truth is, there's nothing magical about them: They are all defined normally
in the std library, which is a crate that ships with Rust.
The only magical thing that happens is that rustc automatically inserts this line into your crate root:
extern crate std;
As well as this line into every module body:
use std::prelude::*;
The role of the prelude module is to re-export common definitions from std.
This allows you to use common types and functions like Option<T> or range
without needing to import them. And if you need something from std that's not in the prelude,
you just have to import it with an use statement.
For example, it re-exports range which is defined in std::iter::range:
use iter_range = std::iter::range; fn main() { // `range` is imported by default for _ in range(0, 10) {} // Doesn't hinder you from importing it under a different name yourself for _ in iter_range(0, 10) {} // Or from not using the automatic import. for _ in ::std::iter::range(0, 10) {} }
Both auto-insertions can be disabled with an attribute if necessary:
// In the crate root: #[no_std];
// In any module: #[no_implicit_prelude];
See the API documentation for details.
Now that you know the essentials, check out any of the additional guides on individual topics.
There is further documentation on the wiki, however those tend to be even more out of date as this document.