122 KiB
% Rust Reference Manual
Introduction
This document is the reference manual for the Rust programming language. It provides three kinds of material:
- Chapters that formally define the language grammar and, for each construct, informally describe its semantics and give examples of its use.
- Chapters that informally describe the memory model, concurrency model, runtime services, linkage model and debugging facilities.
- Appendix chapters providing rationale and references to languages that influenced the design.
This document does not serve as a tutorial introduction to the language. Background familiarity with the language is assumed. A separate tutorial document is available at http://doc.rust-lang.org/doc/tutorial.html to help acquire such background familiarity.
This document also does not serve as a reference to the core or standard libraries included in the language distribution. Those libraries are documented separately by extracting documentation attributes from their source code. Formatted documentation can be found at the following locations:
- Core library: http://doc.rust-lang.org/doc/core
- Standard library: http://doc.rust-lang.org/doc/std
Disclaimer
Rust is a work in progress. The language continues to evolve as the design shifts and is fleshed out in working code. Certain parts work, certain parts do not, certain parts will be removed or changed.
This manual is a snapshot written in the present tense. All features described exist in working code unless otherwise noted, but some are quite primitive or remain to be further modified by planned work. Some may be temporary. It is a draft, and we ask that you not take anything you read here as final.
If you have suggestions to make, please try to focus them on reductions to the language: possible features that can be combined or omitted. We aim to keep the size and complexity of the language under control.
Note on grammar: The grammar for Rust given in this document is rough and very incomplete; only a modest number of sections have accompanying grammar rules. Formalizing the grammar accepted by the Rust parser is ongoing work, but future versions of this document will contain a complete grammar. Moreover, we hope that this grammar will be extracted and verified as LL(1) by an automated grammar-analysis tool, and further tested against the Rust sources. Preliminary versions of this automation exist, but are not yet complete.
Notation
Rust's grammar is defined over Unicode codepoints, each conventionally
denoted U+XXXX
, for 4 or more hexadecimal digits X
. Most of Rust's
grammar is confined to the ASCII range of Unicode, and is described in this
document by a dialect of Extended Backus-Naur Form (EBNF), specifically a
dialect of EBNF supported by common automated LL(k) parsing tools such as
llgen
, rather than the dialect given in ISO 14977. The dialect can be
defined self-referentially as follows:
grammar : rule + ;
rule : nonterminal ':' productionrule ';' ;
productionrule : production [ '|' production ] * ;
production : term * ;
term : element repeats ;
element : LITERAL | IDENTIFIER | '[' productionrule ']' ;
repeats : [ '*' | '+' ] NUMBER ? | NUMBER ? | '?' ;
Where:
- Whitespace in the grammar is ignored.
- Square brackets are used to group rules.
LITERAL
is a single printable ASCII character, or an escaped hexadecimal ASCII code of the form\xQQ
, in single quotes, denoting the corresponding Unicode codepointU+00QQ
.IDENTIFIER
is a nonempty string of ASCII letters and underscores.- The
repeat
forms apply to the adjacentelement
, and are as follows:?
means zero or one repetition*
means zero or more repetitions+
means one or more repetitions- NUMBER trailing a repeat symbol gives a maximum repetition count
- NUMBER on its own gives an exact repetition count
This EBNF dialect should hopefully be familiar to many readers.
Unicode productions
A small number of productions in Rust's grammar permit Unicode codepoints outside the ASCII range; these productions are defined in terms of character properties given by the Unicode standard, rather than ASCII-range codepoints. These are given in the section Special Unicode Productions.
String table productions
Some rules in the grammar -- notably unary operators, binary operators, and keywords -- are given in a simplified form: as a listing of a table of unquoted, printable whitespace-separated strings. These cases form a subset of the rules regarding the token rule, and are assumed to be the result of a lexical-analysis phase feeding the parser, driven by a DFA, operating over the disjunction of all such string table entries.
When such a string enclosed in double-quotes ("
) occurs inside the
grammar, it is an implicit reference to a single member of such a string table
production. See tokens for more information.
Lexical structure
Input format
Rust input is interpreted as a sequence of Unicode codepoints encoded in UTF-8. No normalization is performed during input processing. Most Rust grammar rules are defined in terms of printable ASCII-range codepoints, but a small number are defined in terms of Unicode properties or explicit codepoint lists. ^[Surrogate definitions for the special Unicode productions are provided to the grammar verifier, restricted to ASCII range, when verifying the grammar in this document.]
Special Unicode Productions
The following productions in the Rust grammar are defined in terms of
Unicode properties: ident
, non_null
, non_star
, non_eol
, non_slash
,
non_single_quote
and non_double_quote
.
Identifiers
The ident
production is any nonempty Unicode string of the following form:
- The first character has property
XID_start
- The remaining characters have property
XID_continue
that does not occur in the set of keywords.
Note: XID_start
and XID_continue
as character properties cover the
character ranges used to form the more familiar C and Java language-family
identifiers.
Delimiter-restricted productions
Some productions are defined by exclusion of particular Unicode characters:
non_null
is any single Unicode character aside fromU+0000
(null)non_eol
isnon_null
restricted to excludeU+000A
('\n'
)non_star
isnon_null
restricted to excludeU+002A
(*
)non_slash
isnon_null
restricted to excludeU+002F
(/
)non_single_quote
isnon_null
restricted to excludeU+0027
('
)non_double_quote
isnon_null
restricted to excludeU+0022
("
)
Comments
comment : block_comment | line_comment ;
block_comment : "/*" block_comment_body * "*/" ;
block_comment_body : block_comment | non_star * | '*' non_slash ;
line_comment : "//" non_eol * ;
Comments in Rust code follow the general C++ style of line and block-comment forms, with proper nesting of block-comment delimiters. Comments are interpreted as a form of whitespace.
Whitespace
whitespace_char : '\x20' | '\x09' | '\x0a' | '\x0d' ;
whitespace : [ whitespace_char | comment ] + ;
The whitespace_char
production is any nonempty Unicode string consisting of any
of the following Unicode characters: U+0020
(space, ' '
), U+0009
(tab,
'\t'
), U+000A
(LF, '\n'
), U+000D
(CR, '\r'
).
Rust is a "free-form" language, meaning that all forms of whitespace serve only to separate tokens in the grammar, and have no semantic significance.
A Rust program has identical meaning if each whitespace element is replaced with any other legal whitespace element, such as a single space character.
Tokens
simple_token : keyword | unop | binop ;
token : simple_token | ident | literal | symbol | whitespace token ;
Tokens are primitive productions in the grammar defined by regular (non-recursive) languages. "Simple" tokens are given in string table production form, and occur in the rest of the grammar as double-quoted strings. Other tokens have exact rules given.
Keywords
The keywords in crate files are the following strings:
import export use mod
The keywords in source files are the following strings:
alt assert
be break
check claim class const cont copy crust
drop
else enum export
fail false fn for
if iface impl import
let log loop
mod mut
native new
pure
resource ret
true trait type
unchecked unsafe
while
Any of these have special meaning in their respective grammars, and are
excluded from the ident
rule.
Literals
A literal is an expression consisting of a single token, rather than a sequence of tokens, that immediately and directly denotes the value it evaluates to, rather than referring to it by name or some other evaluation rule. A literal is a form of constant expression, so is evaluated (primarily) at compile time.
literal : string_lit | char_lit | num_lit ;
Character and string literals
char_lit : '\x27' char_body '\x27' ;
string_lit : '"' string_body * '"' ;
char_body : non_single_quote
| '\x5c' [ '\x27' | common_escape ] ;
string_body : non_double_quote
| '\x5c' [ '\x22' | common_escape ] ;
common_escape : '\x5c'
| 'n' | 'r' | 't'
| 'x' hex_digit 2
| 'u' hex_digit 4
| 'U' hex_digit 8 ;
hex_digit : 'a' | 'b' | 'c' | 'd' | 'e' | 'f'
| 'A' | 'B' | 'C' | 'D' | 'E' | 'F'
| dec_digit ;
dec_digit : '0' | nonzero_dec ;
nonzero_dec: '1' | '2' | '3' | '4'
| '5' | '6' | '7' | '8' | '9' ;
A character literal is a single Unicode character enclosed within two
U+0027
(single-quote) characters, with the exception of U+0027
itself,
which must be escaped by a preceding U+005C character (\
).
A string literal is a sequence of any Unicode characters enclosed within
two U+0022
(double-quote) characters, with the exception of U+0022
itself, which must be escaped by a preceding U+005C
character (\
).
Some additional escapes are available in either character or string
literals. An escape starts with a U+005C
(\
) and continues with one of
the following forms:
- An 8-bit codepoint escape escape starts with
U+0078
(x
) and is followed by exactly two hex digits. It denotes the Unicode codepoint equal to the provided hex value. - A 16-bit codepoint escape starts with
U+0075
(u
) and is followed by exactly four hex digits. It denotes the Unicode codepoint equal to the provided hex value. - A 32-bit codepoint escape starts with
U+0055
(U
) and is followed by exactly eight hex digits. It denotes the Unicode codepoint equal to the provided hex value. - A whitespace escape is one of the characters
U+006E
(n
),U+0072
(r
), orU+0074
(t
), denoting the unicode valuesU+000A
(LF),U+000D
(CR) orU+0009
(HT) respectively. - The backslash escape is the character U+005C (
\
) which must be escaped in order to denote itself.
Number literals
num_lit : nonzero_dec [ dec_digit | '_' ] * num_suffix ?
| '0' [ [ dec_digit | '_' ] + num_suffix ?
| 'b' [ '1' | '0' | '_' ] + int_suffix ?
| 'x' [ hex_digit | '-' ] + int_suffix ? ] ;
num_suffix : int_suffix | float_suffix ;
int_suffix : 'u' int_suffix_size ?
| 'i' int_suffix_size ;
int_suffix_size : [ '8' | '1' '6' | '3' '2' | '6' '4' ] ;
float_suffix : [ exponent | '.' dec_lit exponent ? ] float_suffix_ty ? ;
float_suffix_ty : 'f' [ '3' '2' | '6' '4' ] ;
exponent : ['E' | 'e'] ['-' | '+' ] ? dec_lit ;
dec_lit : [ dec_digit | '_' ] + ;
A number literal is either an integer literal or a floating-point literal. The grammar for recognizing the two kinds of literals is mixed, as they are differentiated by suffixes.
Integer literals
An integer literal has one of three forms:
- A decimal literal starts with a decimal digit and continues with any mixture of decimal digits and underscores.
- A hex literal starts with the character sequence
U+0030
U+0078
(0x
) and continues as any mixture hex digits and underscores. - A binary literal starts with the character sequence
U+0030
U+0062
(0b
) and continues as any mixture binary digits and underscores.
An integer literal may be followed (immediately, without any spaces) by an integer suffix, which changes the type of the literal. There are two kinds of integer literal suffix:
- The
i
andu
suffixes give the literal typeint
oruint
, respectively. - Each of the signed and unsigned machine types
u8
,i8
,u16
,i16
,u32
,i32
,u64
andi64
give the literal the corresponding machine type.
The type of an unsuffixed integer literal is determined by type inference.
If a integer type can be uniquely determined from the surrounding program
context, the unsuffixed integer literal has that type. If the program context
underconstrains the type, the unsuffixed integer literal's type is int
; if
the program context overconstrains the type, it is considered a static type
error.
Examples of integer literals of various forms:
123; 0xff00; // type determined by program context;
// defaults to int in absence of type
// information
123u; // type uint
123_u; // type uint
0xff_u8; // type u8
0b1111_1111_1001_0000_i32; // type i32
Floating-point literals
A floating-point literal has one of two forms:
- Two decimal literals separated by a period
character
U+002E
(.
), with an optional exponent trailing after the second decimal literal. - A single decimal literal followed by an exponent.
By default, a floating-point literal is of type float
. A
floating-point literal may be followed (immediately, without any
spaces) by a floating-point suffix, which changes the type of the
literal. There are three floating-point suffixes: f
(for the base
float
type), f32
, and f64
(the 32-bit and 64-bit floating point
types).
Examples of floating-point literals of various forms:
123.0; // type float
0.1; // type float
3f; // type float
0.1f32; // type f32
12E+99_f64; // type f64
Nil and boolean literals
The nil value, the only value of the type by the same name, is
written as ()
. The two values of the boolean type are written true
and false
.
Symbols
symbol : "::" "->"
| '#' | '[' | ']' | '(' | ')' | '{' | '}'
| ',' | ';' ;
Symbols are a general class of printable token that play structural roles in a variety of grammar productions. They are catalogued here for completeness as the set of remaining miscellaneous printable tokens that do not otherwise appear as unary operators, binary operators, or keywords.
Paths
expr_path : ident [ "::" expr_path_tail ] + ;
expr_path_tail : '<' type_expr [ ',' type_expr ] + '>'
| expr_path ;
type_path : ident [ type_path_tail ] + ;
type_path_tail : '<' type_expr [ ',' type_expr ] + '>'
| "::" type_path ;
A path is a sequence of one or more path components logically separated by
a namespace qualifier (::
). If a path consists of only one component, it may
refer to either an item or a slot in a local
control scope. If a path has multiple components, it refers to an item.
Every item has a canonical path within its crate, but the path naming an item is only meaningful within a given crate. There is no global namespace across crates; an item's canonical path merely identifies it within the crate.
Two examples of simple paths consisting of only identifier components:
x;
x::y::z;
Path components are usually identifiers, but the trailing
component of a path may be an angle-bracket-enclosed list of type
arguments. In expression context, the type argument list is
given after a final (::
) namespace qualifier in order to disambiguate it
from a relational expression involving the less-than symbol (<
). In type
expression context, the final namespace qualifier is omitted.
Two examples of paths with type arguments:
# import std::map;
# fn f() {
# fn id<T:copy>(t: T) -> T { t }
type t = map::hashmap<int,str>; // Type arguments used in a type expression
let x = id::<int>(10); // Type arguments used in a call expression
# }
Crates and source files
Rust is a compiled language. Its semantics are divided along a phase distinction between compile-time and run-time. Those semantic rules that have a static interpretation govern the success or failure of compilation. A program that fails to compile due to violation of a compile-time rule has no defined semantics at run-time; the compiler should halt with an error report, and produce no executable artifact.
The compilation model centres on artifacts called crates. Each compilation is directed towards a single crate in source form, and if successful, produces a single crate in binary form: either an executable or a library.
A crate is a unit of compilation and linking, as well as versioning, distribution and runtime loading. A crate contains a tree of nested module scopes. The top level of this tree is a module that is anonymous -- from the point of view of paths within the module -- and any item within a crate has a canonical module path denoting its location within the crate's module tree.
Crates are provided to the Rust compiler through two kinds of file:
- crate files, that end in
.rc
and each define acrate
. - source files, that end in
.rs
and each define amodule
.
The Rust compiler is always invoked with a single input file, and always produces a single output crate.
When the Rust compiler is invoked with a crate file, it reads the explicit definition of the crate it's compiling from that file, and populates the crate with modules derived from all the source files referenced by the crate, reading and processing all the referenced modules at once.
When the Rust compiler is invoked with a source file, it creates an
implicit crate and treats the source file as though it was referenced as
the sole module populating this implicit crate. The module name is derived
from the source file name, with the .rs
extension removed.
Crate files
crate : attribute [ ';' | attribute* directive ]
| directive ;
directive : view_item | dir_directive | source_directive ;
A crate file contains a crate definition, for which the production above defines the grammar. It is a declarative grammar that guides the compiler in assembling a crate from component source files.^[A crate is somewhat analogous to an assembly in the ECMA-335 CLI model, a library in the SML/NJ Compilation Manager, a unit in the Owens and Flatt module system, or a configuration in Mesa.] A crate file describes:
- Attributes about the crate, such as author, name, version, and copyright. These are used for linking, versioning and distributing crates.
- The source-file and directory modules that make up the crate.
- Any
use
,import
orexport
view items that apply to the anonymous module at the top-level of the crate's module tree.
An example of a crate file:
// Linkage attributes
#[ link(name = "projx"
vers = "2.5",
uuid = "9cccc5d5-aceb-4af5-8285-811211826b82") ];
// Additional metadata attributes
#[ desc = "Project X",
license = "BSD" ];
author = "Jane Doe" ];
// Import a module.
use std (ver = "1.0");
// Define some modules.
#[path = "foo.rs"]
mod foo;
mod bar {
#[path = "quux.rs"]
mod quux;
}
Dir directives
A dir_directive
forms a module in the module tree making up the crate, as
well as implicitly relating that module to a directory in the filesystem
containing source files and/or further subdirectories. The filesystem
directory associated with a dir_directive
module can either be explicit,
or if omitted, is implicitly the same name as the module.
A source_directive
references a source file, either explicitly or
implicitly by combining the module name with the file extension .rs
. The
module contained in that source file is bound to the module path formed by
the dir_directive
modules containing the source_directive
.
Source files
A source file contains a module
: that is, a sequence of zero or more
item
definitions. Each source file is an implicit module, the name and
location of which -- in the module tree of the current crate -- is defined
from outside the source file: either by an explicit source_directive
in
a referencing crate file, or by the filename of the source file itself.
A source file that contains a main
function can be compiled to an
executable. If a main
function is present, it must have no type parameters
and no constraints. Its return type must be nil
and it must either have no arguments, or a single argument of type [str]
.
Items and attributes
A crate is a collection of items, each of which may have some number of attributes attached to it.
Items
item : mod_item | fn_item | type_item | enum_item
| res_item | iface_item | impl_item | native_mod_item ;
An item is a component of a crate; some module items can be defined in crate files, but most are defined in source files. Items are organized within a crate by a nested set of modules. Every crate has a single "outermost" anonymous module; all further items within the crate have paths within the module tree of the crate.
Items are entirely determined at compile-time, remain constant during execution, and may reside in read-only memory.
There are several kinds of item:
Some items form an implicit scope for the declaration of sub-items. In other words, within a function or module, declarations of items can (in many cases) be mixed with the statements, control blocks, and similar artifacts that otherwise compose the item body. The meaning of these scoped items is the same as if the item was declared outside the scope -- it is still a static item -- except that the item's path name within the module namespace is qualified by the name of the enclosing item, or is private to the enclosing item (in the case of functions). The exact locations in which sub-items may be declared is given by the grammar.
Type Parameters
All items except modules may be parametrized by type. Type parameters are
given as a comma-separated list of identifiers enclosed in angle brackets
(<...>
), after the name of the item and before its definition. The type
parameters of an item are considered "part of the name", not the type of the
item; in order to refer to the type-parametrized item, a referencing
path must in general provide type arguments as a list of
comma-separated types enclosed within angle brackets. In practice, the
type-inference system can usually infer such argument types from
context. There are no general type-parametric types, only type-parametric
items.
Modules
mod_item : "mod" ident '{' mod '}' ;
mod : [ view_item | item ] * ;
A module is a container for zero or more view items and zero or more items. The view items manage the visibility of the items defined within the module, as well as the visibility of names from outside the module when referenced from inside the module.
A module item is a module, surrounded in braces, named, and prefixed with
the keyword mod
. A module item introduces a new, named module into the tree
of modules making up a crate. Modules can nest arbitrarily.
An example of a module:
mod math {
type complex = (f64, f64);
fn sin(f: f64) -> f64 {
// ...
# fail;
}
fn cos(f: f64) -> f64 {
// ...
# fail;
}
fn tan(f: f64) -> f64 {
// ...
# fail;
}
}
View items
view_item : use_decl | import_decl | export_decl ;
A view item manages the namespace of a module; it does not define new items but simply changes the visibility of other items. There are several kinds of view item:
Use declarations
use_decl : "use" ident [ '(' link_attrs ')' ] ? ;
link_attrs : link_attr [ ',' link_attrs ] + ;
link_attr : ident '=' literal ;
A use declaration specifies a dependency on an external crate. The external
crate is then imported into the declaring scope as the ident
provided in the
use_decl
.
The external crate is resolved to a specific soname
at compile time, and a
runtime linkage requirement to that soname
is passed to the linker for
loading at runtime. The soname
is resolved at compile time by scanning the
compiler's library path and matching the link_attrs
provided in the
use_decl
against any #link
attributes that were declared on the external
crate when it was compiled. If no link_attrs
are provided, a default name
attribute is assumed, equal to the ident
given in the use_decl
.
Two examples of use
declarations:
use pcre (uuid = "54aba0f8-a7b1-4beb-92f1-4cf625264841");
use std; // equivalent to: use std ( name = "std" );
use ruststd (name = "std"); // linking to 'std' under another name
Import declarations
import_decl : "import" ident [ '=' path
| "::" path_glob ] ;
path_glob : ident [ "::" path_glob ] ?
| '*'
| '{' ident [ ',' ident ] * '}'
An import declaration creates one or more local name bindings synonymous with some other path. Usually an import declaration is used to shorten the path required to refer to a module item.
Note: unlike many languages, Rust's import
declarations do not declare
linkage-dependency with external crates. Linkage dependencies are
independently declared with use
declarations.
Imports support a number of "convenience" notations:
- Importing as a different name than the imported name, using the
syntax
import x = p::q::r;
. - Importing a list of paths differing only in final element, using
the glob-like brace syntax
import a::b::{c,d,e,f};
- Importing all paths matching a given prefix, using the glob-like
asterisk syntax
import a::b::*;
An example of imports:
import foo = core::info;
import core::float::sin;
import core::str::{slice, hash};
import core::option::some;
fn main() {
// Equivalent to 'log(core::info, core::float::sin(1.0));'
log(foo, sin(1.0));
// Equivalent to 'log(core::info, core::option::some(1.0));'
log(info, some(1.0));
// Equivalent to 'log(core::info,
// core::str::hash(core::str::slice("foo", 0u, 1u)));'
log(info, hash(slice("foo", 0u, 1u)));
}
Export declarations
export_decl : "export" ident [ ',' ident ] *
| "export" ident "::{}"
| "export" ident '{' ident [ ',' ident ] * '}' ;
An export declaration restricts the set of local names within a module that
can be accessed from code outside the module. By default, all local items in
a module are exported; imported paths are not automatically re-exported by
default. If a module contains an explicit export
declaration, this
declaration replaces the default export with the export specified.
An example of an export:
mod foo {
export primary;
fn primary() {
helper(1, 2);
helper(3, 4);
}
fn helper(x: int, y: int) {
// ...
}
}
fn main() {
foo::primary(); // Will compile.
}
If, instead of calling foo::primary
in main, you were to call foo::helper
then it would fail to compile:
foo::helper(2,3) // ERROR: will not compile.
Multiple names may be exported from a single export declaration:
mod foo {
export primary, secondary;
fn primary() {
helper(1, 2);
helper(3, 4);
}
fn secondary() {
// ...
}
fn helper(x: int, y: int) {
// ...
}
}
When exporting the name of an enum
type t
, by default, the module also
implicitly exports all of t
's constructors. For example:
mod foo {
export t;
enum t {a, b, c}
}
Here, foo
imports t
, a
, b
, and c
.
The second and third forms of export declaration can be used to export
an enum
item without exporting all of its constructors. These two
forms can only be used to export an enum
item. The second form
exports the enum
type name without exporting any of its
constructors, achieving a simple kind of data abstraction. The third
form exports an enum
type name along with a subset of its
constructors. For example:
mod foo {
export abstract::{};
export slightly_abstract::{a, b};
enum abstract {x, y, z}
enum slightly_abstract {a, b, c, d}
}
Module foo
exports the types abstract
and slightly_abstract
, as well as
constructors a
and b
, but doesn't export constructors x
, y
, z
, c
,
or d
.
Functions
A function item defines a sequence of statements and an
optional final expression associated with a name and a set of
parameters. Functions are declared with the keyword fn
. Functions declare a
set of input slots as parameters, through which the
caller passes arguments into the function, and an output
slot through which the function passes results back to
the caller.
A function may also be copied into a first class value, in which case the value has the corresponding function type, and can be used otherwise exactly as a function item (with a minor additional cost of calling the function indirectly).
Every control path in a function logically ends with a ret
expression or a
diverging expression. If the outermost block of a function has a
value-producing expression in its final-expression position, that expression
is interpreted as an implicit ret
expression applied to the
final-expression.
An example of a function:
fn add(x: int, y: int) -> int {
ret x + y;
}
Diverging functions
A special kind of function can be declared with a !
character where the
output slot type would normally be. For example:
fn my_err(s: str) -> ! {
log(info, s);
fail;
}
We call such functions "diverging" because they never return a value to the
caller. Every control path in a diverging function must end with a
fail
or a call to another diverging function on every
control path. The !
annotation does not denote a type. Rather, the result
type of a diverging function is a special type called \bot
("bottom") that
unifies with any type. Rust has no syntax for \bot
.
It might be necessary to declare a diverging function because as mentioned
previously, the typechecker checks that every control path in a function ends
with a ret
or diverging expression. So, if my_err
were declared without the !
annotation, the following code would not
typecheck:
# fn my_err(s: str) -> ! { fail }
fn f(i: int) -> int {
if i == 42 {
ret 42;
}
else {
my_err("Bad number!");
}
}
The typechecker would complain that f
doesn't return a value in the
else
branch. Adding the !
annotation on my_err
would
express that f
requires no explicit ret
, as if it returns
control to the caller, it returns a value (true because it never returns
control).
Predicate functions
Any pure boolean function is called a predicate function, and may be used in
a constraint, as part of the static typestate
system. A predicate declaration is identical to a function
declaration, except that it is declared with the additional keyword pure
. In
addition, the typechecker checks the body of a predicate with a restricted set
of typechecking rules. A predicate
- may not contain an assignment or self-call expression; and
- may only call other predicates, not general functions.
An example of a predicate:
pure fn lt_42(x: int) -> bool {
ret (x < 42);
}
A non-boolean function may also be declared with pure fn
. This allows
predicates to call non-boolean functions as long as they are pure. For example:
pure fn pure_length<T>(ls: list<T>) -> uint { /* ... */ }
pure fn nonempty_list<T>(ls: list<T>) -> bool { pure_length(ls) > 0u }
In this example, nonempty_list
is a predicate---it can be used in a
typestate constraint---but the auxiliary function pure_length
is
not.
TODO: should actually define referential transparency.
The effect checking rules previously enumerated are a restricted set of typechecking rules meant to approximate the universe of observably referentially transparent Rust procedures conservatively. Sometimes, these rules are too restrictive. Rust allows programmers to violate these rules by writing predicates that the compiler cannot prove to be referentially transparent, using an escape-hatch feature called "unchecked blocks". When writing code that uses unchecked blocks, programmers should always be aware that they have an obligation to show that the code behaves referentially transparently at all times, even if the compiler cannot prove automatically that the code is referentially transparent. In the presence of unchecked blocks, the compiler provides no static guarantee that the code will behave as expected at runtime. Rather, the programmer has an independent obligation to verify the semantics of the predicates they write.
TODO: last two sentences are vague.
An example of a predicate that uses an unchecked block:
# import std::list::*;
fn pure_foldl<T, U: copy>(ls: list<T>, u: U, f: fn(&&T, &&U) -> U) -> U {
alt ls {
nil { u }
cons(hd, tl) { f(hd, pure_foldl(*tl, f(hd, u), f)) }
}
}
pure fn pure_length<T>(ls: list<T>) -> uint {
fn count<T>(_t: T, &&u: uint) -> uint { u + 1u }
unchecked {
pure_foldl(ls, 0u, count)
}
}
Despite its name, pure_foldl
is a fn
, not a pure fn
, because there is no
way in Rust to specify that the higher-order function argument f
is a pure
function. So, to use foldl
in a pure list length function that a predicate
could then use, we must use an unchecked
block wrapped around the call to
pure_foldl
in the definition of pure_length
.
Generic functions
A generic function allows one or more parameterized types to appear in its signature. Each type parameter must be explicitly declared, in an angle-bracket-enclosed, comma-separated list following the function name.
fn iter<T>(seq: [T], f: fn(T)) {
for seq.each {|elt| f(elt); }
}
fn map<T, U>(seq: [T], f: fn(T) -> U) -> [U] {
let mut acc = [];
for seq.each {|elt| acc += [f(elt)]; }
acc
}
Inside the function signature and body, the name of the type parameter can be used as a type name.
When a generic function is referenced, its type is instantiated based
on the context of the reference. For example, calling the iter
function defined above on [1, 2]
will instantiate type parameter T
with int
, and require the closure parameter to have type
fn(int)
.
Since a parameter type is opaque to the generic function, the set of
operations that can be performed on it is limited. Values of parameter
type can always be moved, but they can only be copied when the
parameter is given a copy
bound.
fn id<T: copy>(x: T) -> T { x }
Similarly, interface bounds can be specified for type parameters to allow methods of that interface to be called on values of that type.
Crust functions
Crust functions are part of Rust's foreign function interface,
providing the opposite functionality to native modules.
Whereas native modules allow Rust code to call foreign
code, crust functions allow foreign code to call Rust code. They are
defined the same as any other Rust function, except that they are
prepended with the crust
keyword.
crust fn new_vec() -> [int] { [] }
Crust functions may not be called from Rust code, but their value
may be taken as an unsafe u8
pointer.
# crust fn new_vec() -> [int] { [] }
let fptr: *u8 = new_vec;
The primary motivation of crust functions is to create callbacks for native functions that expect to receive function pointers.
Type definitions
A type definition defines a new name for an existing type. Type
definitions are declared with the keyword type
. Every value has a single,
specific type; the type-specified aspects of a value include:
- Whether the value is composed of sub-values or is indivisible.
- Whether the value represents textual or numerical information.
- Whether the value represents integral or floating-point information.
- The sequence of memory operations required to access the value.
- The kind of the type (pinned, unique or shared).
For example, the type {x: u8, y: u8
} defines the set of immutable values
that are composite records, each containing two unsigned 8-bit integers
accessed through the components x
and y
, and laid out in memory with the
x
component preceding the y
component.
Enumerations
An enumeration item simultaneously declares a new nominal
enumerated type as well as a set of constructors that
can be used to create or pattern-match values of the corresponding enumerated
type. Note that enum
previously was referred to as a tag
, however this
definition has been deprecated. While tag
is no longer used, the two are
synonymous.
The constructors of an enum
type may be recursive: that is, each constructor
may take an argument that refers, directly or indirectly, to the enumerated
type the constructor is a member of. Such recursion has restrictions:
- Recursive types can be introduced only through
enum
constructors. - A recursive
enum
item must have at least one non-recursive constructor (in order to give the recursion a basis case). - The recursive argument of recursive
enum
constructors must be box values (in order to bound the in-memory size of the constructor). - Recursive type definitions can cross module boundaries, but not module visibility boundaries or crate boundaries (in order to simplify the module system).
An example of an enum
item and its use:
enum animal {
dog,
cat
}
let mut a: animal = dog;
a = cat;
An example of a recursive enum
item and its use:
enum list<T> {
nil,
cons(T, @list<T>)
}
let a: list<int> = cons(7, @cons(13, @nil));
Classes
TODO: more about classes
Classes are named record types that may have a destructor associated with them, as well as fields and methods. For historical reasons, we may call a class with a destructor and a single field a "resource".
A class item declares a class type:
class file_descriptor {
let fd: libc::c_int;
new(fd: libc::c_int) { self.fd = fd; }
drop { libc::close(self.fd); }
}
Calling the file_descriptor
constructor function on an integer will
produce a value with the file_descriptor
type. Resource types have a
noncopyable type kind, and thus may not be
copied. Class types that don't have destructors may be copied if all
their fields are copyable. The semantics guarantee that for each
constructed resource value, the destructor will run once: when the
value is disposed of (barring drastic program termination that somehow
prevents unwinding from taking place). For stack-allocated values,
disposal happens when the value goes out of scope. For values in
shared boxes, it happens when the reference count of the box reaches
zero.
The argument or arguments to the class constructor may be stored in
the class's named fields, and can be accessed by a field reference. In
this case, the file_descriptor
's data field would be accessed like
f.fd
, if f
is a value of type file_descriptor
.
Interfaces
An interface item describes a set of method types. implementation items can be used to provide implementations of those methods for a specific type.
# type surface = int;
# type bounding_box = int;
iface shape {
fn draw(surface);
fn bounding_box() -> bounding_box;
}
This defines an interface with two methods. All values which have
implementations of this interface in scope can
have their draw
and bounding_box
methods called, using
value.bounding_box()
syntax.
Type parameters can be specified for an interface to make it generic. These appear after the name, using the same syntax used in generic functions.
iface seq<T> {
fn len() -> uint;
fn elt_at(n: uint) -> T;
fn iter(fn(T));
}
Generic functions may use interfaces as bounds on their type parameters. This will have two effects: only types that implement the interface can be used to instantiate the parameter, and within the generic function, the methods of the interface can be called on values that have the parameter's type. For example:
# type surface = int;
# iface shape { fn draw(surface); }
fn draw_twice<T: shape>(surface: surface, sh: T) {
sh.draw(surface);
sh.draw(surface);
}
Interface items also define a type with the same name as the interface. Values of this type are created by casting values (of a type for which an implementation of the given interface is in scope) to the interface type.
# iface shape { }
# impl of shape for int { }
# let mycircle = 0;
let myshape: shape = mycircle as shape;
The resulting value is a reference counted box containing the value that was cast along with information that identify the methods of the implementation that was used. Values with an interface type can always have methods of their interface called on them, and can be used to instantiate type parameters that are bounded on their interface.
Implementations
An implementation item provides an implementation of an interface for a type.
# type point = {x: float, y: float};
# type surface = int;
# type bounding_box = {x: float, y: float, width: float, height: float};
# iface shape { fn draw(surface); fn bounding_box() -> bounding_box; }
# fn do_draw_circle(s: surface, c: circle) { }
type circle = {radius: float, center: point};
impl circle_shape of shape for circle {
fn draw(s: surface) { do_draw_circle(s, self); }
fn bounding_box() -> bounding_box {
let r = self.radius;
{x: self.center.x - r, y: self.center.y - r,
width: 2.0 * r, height: 2.0 * r}
}
}
This defines an implementation named circle_shape
of interface
shape
for type circle
. The name of the implementation is the name
by which it is imported and exported, but has no further significance.
It may be omitted to default to the name of the interface that was
implemented. Implementation names do not conflict the way other names
do: multiple implementations with the same name may exist in a scope at
the same time.
It is possible to define an implementation without referencing an
interface. The methods in such an implementation can only be used
statically (as direct calls on the values of the type that the
implementation targets). In such an implementation, the of
clause is
not given, and the name is mandatory.
impl uint_loops for uint {
fn times(f: fn(uint)) {
let mut i = 0u;
while i < self { f(i); i += 1u; }
}
}
When an interface is specified, all methods declared as part of the interface must be present, with matching types and type parameter counts, in the implementation.
An implementation can take type parameters, which can be different
from the type parameters taken by the interface it implements. They
are written after the name of the implementation, or if that is not
specified, after the impl
keyword.
# iface seq<T> { }
impl <T> of seq<T> for [T] {
/* ... */
}
impl of seq<bool> for u32 {
/* Treat the integer as a sequence of bits */
}
Native modules
native_mod_item : "native mod" ident '{' native_mod '} ;
native_mod : [ native_fn ] * ;
Native modules form the basis for Rust's foreign function interface. A native module describes functions in external, non-Rust libraries. Functions within native modules are declared the same as other Rust functions, with the exception that they may not have a body and are instead terminated by a semi-colon.
# import libc::{c_char, FILE};
# #[nolink]
native mod c {
fn fopen(filename: *c_char, mode: *c_char) -> *FILE;
}
Functions within native modules may be called by Rust code as it would any normal function and the Rust compiler will automatically translate between the Rust ABI and the native ABI.
The name of the native module has special meaning to the Rust compiler in that it will treat the module name as the name of a library to link to, performing the linking as appropriate for the target platform. The name given for the native module will be transformed in a platform-specific way to determine the name of the library. For example, on Linux the name of the native module is prefixed with 'lib' and suffixed with '.so', so the native mod 'rustrt' would be linked to a library named 'librustrt.so'.
A number of attributes control the behavior of native mods.
By default native mods assume that the library they are calling use
the standard C "cdecl" ABI. Other ABI's may be specified using the abi
attribute as in
// Interface to the Windows API
#[abi = "stdcall"]
native mod kernel32 { }
The link_name
attribute allows the default library naming behavior to
be overriden by explicitly specifying the name of the library.
#[link_name = "crypto"]
native mod mycrypto { }
The nolink
attribute tells the Rust compiler not to perform any linking
for the native module. This is particularly useful for creating native
mods for libc, which tends to not follow standard library naming conventions
and is linked to all Rust programs anyway.
Attributes
attribute : '#' '[' attr_list ']' ;
attr_list : attr [ ',' attr_list ]*
attr : ident [ '=' literal
| '(' attr_list ')' ] ? ;
Static entities in Rust -- crates, modules and items -- may have attributes applied to them. ^[Attributes in Rust are modeled on Attributes in ECMA-335, C#] An attribute is a general, free-form piece of metadata that is interpreted according to name, convention, and language and compiler version. Attributes may appear as any of:
- A single identifier, the attribute name
- An identifier followed by the equals sign '=' and a literal, providing a key/value pair
- An identifier followed by a parenthesized list of sub-attribute arguments
Attributes are applied to an entity by placing them within a hash-list
(#[...]
) as either a prefix to the entity or as a semicolon-delimited
declaration within the entity body.
An example of attributes:
// General metadata applied to the enclosing module or crate.
#[license = "BSD"];
// A function marked as a unit test
#[test]
fn test_foo() {
// ...
}
// A conditionally-compiled module
#[cfg(target_os="linux")]
mod bar {
// ...
}
// A documentation attribute
#[doc = "Add two numbers together."]
fn add(x: int, y: int) { x + y }
In future versions of Rust, user-provided extensions to the compiler will be able to interpret attributes. When this facility is provided, the compiler will distinguish will be made between language-reserved and user-available attributes.
At present, only the Rust compiler interprets attributes, so all attribute names are effectively reserved. Some significant attributes include:
- The
doc
attribute, for documenting code in-place. - The
cfg
attribute, for conditional-compilation by build-configuration. - The
link
attribute, for describing linkage metadata for a crate. - The
test
attribute, for marking functions as unit tests.
Other attributes may be added or removed during development of the language.
Statements and expressions
Rust is primarily an expression language. This means that most forms of value-producing or effect-causing evaluation are directed by the uniform syntax category of expressions. Each kind of expression can typically nest within each other kind of expression, and rules for evaluation of expressions involve specifying both the value produced by the expression and the order in which its sub-expressions are themselves evaluated.
In contrast, statements in Rust serve mostly to contain and explicitly sequence expression evaluation.
Statements
A statement is a component of a block, which is in turn a component of an outer expression or function. When a function is spawned into a task, the task executes statements in an order determined by the body of the enclosing function. Each statement causes the task to perform certain actions.
Rust has two kinds of statement: declaration statements and expression statements.
Declaration statements
A declaration statement is one that introduces a name into the enclosing statement block. The declared name may denote a new slot or a new item.
Item declarations
An item declaration statement has a syntactic form identical to an item declaration within a module. Declaring an item -- a function, enumeration, type, resource, interface, implementation or module -- locally within a statement block is simply a way of restricting its scope to a narrow region containing all of its uses; it is otherwise identical in meaning to declaring the item outside the statement block.
Note: there is no implicit capture of the function's dynamic environment when declaring a function-local item.
Slot declarations
let_decl : "let" pat [':' type ] ? [ init ] ? ';' ;
init : [ '=' | '<-' ] expr ;
A slot declaration has one of two forms:
let
pattern
optional-init
;let
pattern
:type
optional-init
;
Where type
is a type expression, pattern
is an irrefutable pattern (often
just the name of a single slot), and optional-init
is an optional
initializer. If present, the initializer consists of either an assignment
operator (=
) or move operator (<-
), followed by an expression.
Both forms introduce a new slot into the enclosing block scope. The new slot is visible from the point of declaration until the end of the enclosing block scope.
The former form, with no type annotation, causes the compiler to infer the static type of the slot through unification with the types of values assigned to the slot in the remaining code in the block scope. Inference only occurs on frame-local variable, not argument slots. Function signatures must always declare types for all argument slots.
Expression statements
An expression statement is one that evaluates an expression and drops its result. The purpose of an expression statement is often to cause the side effects of the expression's evaluation.
Expressions
An expression plays the dual roles of causing side effects and producing a value. Expressions are said to evaluate to a value, and the side effects are caused during evaluation. Many expressions contain sub-expressions as operands; the definition of each kind of expression dictates whether or not, and in which order, it will evaluate its sub-expressions, and how the expression's value derives from the value of its sub-expressions.
In this way, the structure of execution -- both the overall sequence of observable side effects and the final produced value -- is dictated by the structure of expressions. Blocks themselves are expressions, so the nesting sequence of block, statement, expression, and block can repeatedly nest to an arbitrary depth.
Literal expressions
A literal expression consists of one of the literal forms described earlier. It directly describes a number, character, string, boolean value, or the nil value.
(); // nil type
"hello"; // string type
'5'; // character type
5; // integer type
Tuple expressions
Tuples are written by enclosing two or more comma-separated expressions in parentheses. They are used to create tuple-typed values.
(0f, 4.5f);
("a", 4u, true);
Record expressions
rec_expr : '{' ident ':' expr
[ ',' ident ':' expr ] *
[ "with" expr ] '}'
A record expression is one or more comma-separated
name-value pairs enclosed by braces. A fieldname can be any identifier
(including keywords), and is separated from its value expression by a
colon. To indicate that a field is mutable, the mut
keyword is
written before its name.
{x: 10f, y: 20f};
{name: "Joe", age: 35u, score: 100_000};
{ident: "X", mut count: 0u};
The order of the fields in a record expression is significant, and
determines the type of the resulting value. {a: u8, b: u8}
and {b: u8, a: u8}
are two different fields.
A record expression can terminate with the word with
followed by an
expression to denote a functional update. The expression following
with
(the base) must be of a record type that includes at least all the
fields mentioned in the record expression. A new record will be
created, of the same type as the base expression, with the given
values for the fields that were explicitly specified, and the values
in the base record for all other fields. The ordering of the fields in
such a record expression is not significant.
let base = {x: 1, y: 2, z: 3};
{y: 0, z: 10 with base};
Field expressions
field_expr : expr '.' expr
A dot can be used to access a field in a record.
myrecord.myfield;
{a: 10, b: 20}.a;
A field access on a record is an lval referring to the value of that field. When the field is mutable, it can be assigned to.
When the type of the expression to the left of the dot is a boxed record, it is automatically derferenced to make the field access possible.
Field access syntax is overloaded for interface method access. When no matching field is found, or the expression to the left of the dot is not a (boxed) record, an implementation that matches this type and the given method name is looked up instead, and the result of the expression is this method, with its self argument bound to the expression on the left of the dot.
Vector expressions
vec_expr : '[' "mut" ? [ expr [ ',' expr ] * ] ? ']'
A vector expression is written by enclosing zero or
more comma-separated expressions of uniform type in square brackets.
The keyword mut
can be written after the opening bracket to
indicate that the elements of the resulting vector may be mutated.
When no mutability is specified, the vector is immutable.
[1, 2, 3, 4];
["a", "b", "c", "d"];
[mut 0u8, 0u8, 0u8, 0u8];
Index expressions
idx_expr : expr '[' expr ']'
Vector-typed expressions can be indexed by writing a square-bracket-enclosed expression (the index) after them. When the vector is mutable, the resulting lval can be assigned to.
Indices are zero-based, and may be of any integral type. Vector access is bounds-checked at run-time. When the check fails, it will put the task in a failing state.
# let buildr = task::builder();
# task::unsupervise(buildr);
# task::run(buildr) {||
[1, 2, 3, 4][0];
[mut 'x', 'y'][1] = 'z';
["a", "b"][10]; // fails
# }
Unary operator expressions
Rust defines five unary operators. They are all written as prefix operators, before the expression they apply to.
-
: Negation. May only be applied to numeric types.
*
: Dereference. When applied to a box or
resource type, it accesses the inner value. For
mutable boxes, the resulting lval can be assigned to. For
enums that have only a single variant,
containing a single parameter, the dereference operator accesses
this parameter.
!
: Logical negation. On the boolean type, this flips between true
and
false
. On integer types, this inverts the individual bits in the
two's complement representation of the value.
@
and ~
: Boxing operators. Allocate a box to hold the value
they are applied to, and store the value in it. @
creates a
shared, reference-counted box, whereas ~
creates a unique box.
Binary operator expressions
binop_expr : expr binop expr ;
Binary operators expressions are given in terms of operator precedence.
Arithmetic operators
Binary arithmetic expressions require both their operands to be of the
same type, and can be applied only to numeric types, with the
exception of +
, which acts both as addition operator on numbers and
as concatenate operator on vectors and strings.
+
: Addition and vector/string concatenation.
-
: Subtraction.
*
: Multiplication.
/
: Division.
%
: Remainder.
Bitwise operators
Bitwise operators apply only to integer types, and perform their operation on the bits of the two's complement representation of the values.
&
: And.
|
: Inclusive or.
^
: Exclusive or.
<<
: Logical left shift.
>>
: Logical right shift.
>>>
: Arithmetic right shift.
Lazy boolean operators
The operators ||
and &&
may be applied to operands of boolean
type. The first performs the 'or' operation, and the second the 'and'
operation. They differ from |
and &
in that the right-hand operand
is only evaluated when the left-hand operand does not already
determine the outcome of the expression. That is, ||
only evaluates
its right-hand operand when the left-hand operand evaluates to false
,
and &&
only when it evaluates to true
.
Comparison operators
==
: Equal to.
!=
: Unequal to.
<
: Less than.
>
: Greater than.
<=
: Less than or equal.
>=
: Greater than or equal.
The binary comparison operators can be applied to any two operands of the same type, and produce a boolean value.
TODO details on how types are descended during comparison.
Type cast expressions
A type cast expression is denoted with the binary operator as
.
Executing an as
expression casts the value on the left-hand side to the type
on the right-hand side.
A numeric value can be cast to any numeric type. A native pointer value can be cast to or from any integral type or native pointer type. Any other cast is unsupported and will fail to compile.
An example of an as
expression:
# fn sum(v: [float]) -> float { 0.0 }
# fn len(v: [float]) -> int { 0 }
fn avg(v: [float]) -> float {
let sum: float = sum(v);
let sz: float = len(v) as float;
ret sum / sz;
}
A cast is a trivial cast iff the type of the casted expression and the
target type are identical after replacing all occurrences of int
, uint
,
float
with their machine type equivalents of the target architecture in both
types.
Binary move expressions
A binary move expression consists of an lval followed by a left-pointing
arrow (<-
) and an rval expression.
Evaluating a move expression causes, as a side effect, the rval to be moved into the lval. If the rval was itself an lval, it must be a local variable, as it will be de-initialized in the process.
Evaluating a move expression does not change reference counts, nor does it cause a deep copy of any unique structure pointed to by the moved rval. Instead, the move expression represents an indivisible transfer of ownership from the right-hand-side to the left-hand-side of the expression. No allocation or destruction is entailed.
An example of three different move expressions:
# let mut x = [mut 0];
# let a = [mut 0];
# let b = 0;
# let y = {mut z: 0};
# let c = 0;
# let i = 0;
x <- a;
x[i] <- b;
y.z <- c;
Swap expressions
A swap expression consists of an lval followed by a bi-directional arrow
(<->
) and another lval expression.
Evaluating a swap expression causes, as a side effect, the values held in the left-hand-side and right-hand-side lvals to be exchanged indivisibly.
Evaluating a swap expression neither changes reference counts nor deeply copies any unique structure pointed to by the moved rval. Instead, the swap expression represents an indivisible exchange of ownership between the right-hand-side and the left-hand-side of the expression. No allocation or destruction is entailed.
An example of three different swap expressions:
# let mut x = [mut 0];
# let mut a = [mut 0];
# let i = 0;
# let y = {mut z: 0};
# let b = {mut c: 0};
x <-> a;
x[i] <-> a[i];
y.z <-> b.c;
Assignment expressions
An assignment expression consists of an lval expression followed by an
equals sign (=
) and an rval expression.
Evaluating an assignment expression is equivalent to evaluating a binary move expression applied to a unary copy expression. For example, the following two expressions have the same effect:
# let mut x = 0;
# let y = 0;
x = y;
x <- copy y;
The former is just more terse and familiar.
Operator-assignment expressions
The +
, -
, *
, /
, %
, &
, |
, ^
, <<
, >>
, and >>>
operators may be composed with the =
operator. The expression lval OP= val
is equivalent to lval = lval OP val
. For example, x = x + 1
may be written as x += 1
.
Operator precedence
The precedence of Rust binary operators is ordered as follows, going from strong to weak:
* / %
as
+ -
<< >> >>>
&
^
|
< > <= >=
== !=
&&
||
= <- <->
Operators at the same precedence level are evaluated left-to-right.
Grouped expressions
An expression enclosed in parentheses evaluates to the result of the enclosed expression. Parentheses can be used to explicitly specify evaluation order within an expression.
paren_expr : '(' expr ')' ;
An example of a parenthesized expression:
let x = (2 + 3) * 4;
Unary copy expressions
copy_expr : "copy" expr ;
A unary copy expression consists of the unary copy
operator applied to
some argument expression.
Evaluating a copy expression first evaluates the argument expression, then copies the resulting value, allocating any memory necessary to hold the new copy.
Shared boxes (type @
) are, as usual, shallow-copied, as they
may be cyclic. Unique boxes, vectors and
similar unique types are deep-copied.
Since the binary assignment operator =
performs a
copy implicitly, the unary copy operator is typically only used to cause an
argument to a function to be copied and passed by value.
An example of a copy expression:
fn mutate(vec: [mut int]) {
vec[0] = 10;
}
let v = [mut 1,2,3];
mutate(copy v); // Pass a copy
assert v[0] == 1; // Original was not modified
Call expressions
expr_list : [ expr [ ',' expr ]* ] ? ;
paren_expr_list : '(' expr_list ')' ;
call_expr : expr paren_expr_list ;
A call expression invokes a function, providing zero or more input slots and
an optional reference slot to serve as the function's output, bound to the
lval
on the right hand side of the call. If the function eventually returns,
then the expression completes.
A call expression statically requires that the precondition declared in the callee's signature is satisfied by the expression prestate. In this way, typestates propagate through function boundaries.
An example of a call expression:
# fn add(x: int, y: int) -> int { 0 }
let x: int = add(1, 2);
Shared function expressions
TODO.
Unique function expressions
TODO.
While loops
while_expr : "while" expr '{' block '}'
| "do" '{' block '}' "while" expr ;
A while
loop begins by evaluating the boolean loop conditional expression.
If the loop conditional expression evaluates to true
, the loop body block
executes and control returns to the loop conditional expression. If the loop
conditional expression evaluates to false
, the while
expression completes.
An example:
# let mut i = 0;
# let println = io::println;
while i < 10 {
println("hello\n");
i = i + 1;
}
Infinite loops
A loop
expression denotes an infinite loop:
loop_expr : "loop" '{' block '}';
For a block b
, the expression loop b
is semantically equivalent to
while true b
. However, loop
s differ from while
loops in that the
typestate analysis pass takes into account that loop
s are infinite.
For example, the following (contrived) function uses a loop
with a
ret
expression:
fn count() -> bool {
let mut i = 0;
loop {
i += 1;
if i == 20 { ret true; }
}
}
This function compiles, because typestate recognizes that the loop
never terminates (except non-locally, with ret
), thus there is no
need to insert a spurious fail
or ret
after the loop
. If loop
were replaced with while true
, the function would be rejected
because from the compiler's perspective, there would be a control path
along which count
does not return a value (that is, if the loop
condition is always false).
Break expressions
break_expr : "break" ;
Executing a break
expression immediately terminates the innermost loop
enclosing it. It is only permitted in the body of a loop.
Continue expressions
break_expr : "cont" ;
Evaluating a cont
expression immediately terminates the current iteration of
the innermost loop enclosing it, returning control to the loop head. In the
case of a while
loop, the head is the conditional expression controlling the
loop. In the case of a for
loop, the head is the vector-element increment
controlling the loop.
A cont
expression is only permitted in the body of a loop.
For expressions
for_expr : "for" pat "in" expr '{' block '}' ;
A for loop is controlled by a vector or string. The for loop bounds-checks the underlying sequence once when initiating the loop, then repeatedly executes the loop body with the loop variable referencing the successive elements of the underlying sequence, one iteration per sequence element.
An example a for loop:
# type foo = int;
# fn bar(f: foo) { }
# let a = 0, b = 0, c = 0;
let v: [foo] = [a, b, c];
for v.each {|e|
bar(e);
}
If expressions
if_expr : "if" expr '{' block '}'
else_tail ? ;
else_tail : "else" [ if_expr
| '{' block '}' ] ;
An if
expression is a conditional branch in program control. The form of
an if
expression is a condition expression, followed by a consequent
block, any number of else if
conditions and blocks, and an optional
trailing else
block. The condition expressions must have type
bool
. If a condition expression evaluates to true
, the
consequent block is executed and any subsequent else if
or else
block is skipped. If a condition expression evaluates to false
, the
consequent block is skipped and any subsequent else if
condition is
evaluated. If all if
and else if
conditions evaluate to false
then any else
block is executed.
Alternative expressions
alt_expr : "alt" expr '{' alt_arm [ '|' alt_arm ] * '}' ;
alt_arm : alt_pat '{' block '}' ;
alt_pat : pat [ "to" pat ] ? [ "if" expr ] ;
An alt
expression branches on a pattern. The exact form of matching that
occurs depends on the pattern. Patterns consist of some combination of
literals, destructured enum constructors, records and tuples, variable binding
specifications, wildcards (*
), and placeholders (_
). An alt
expression has a head
expression, which is the value to compare to the patterns. The type of the
patterns must equal the type of the head expression.
In a pattern whose head expression has an enum
type, a placeholder (_
) stands for a
single data field, whereas a wildcard *
stands for all the fields of a particular
variant. For example:
enum list<X> { nil, cons(X, @list<X>) }
let x: list<int> = cons(10, @cons(11, @nil));
alt x {
cons(_, @nil) { fail "singleton list"; }
cons(*) { ret; }
nil { fail "empty list"; }
}
The first pattern matches lists constructed by applying cons
to any head value, and a
tail value of @nil
. The second pattern matches any
list constructed with cons
,
ignoring the values of its arguments. The difference between _
and *
is that the pattern C(_)
is only type-correct if
C
has exactly one argument, while the pattern C(*)
is type-correct for any enum variant C
, regardless of how many arguments C
has.
To execute an alt
expression, first the head expression is evaluated, then
its value is sequentially compared to the patterns in the arms until a match
is found. The first arm with a matching pattern is chosen as the branch target
of the alt
, any variables bound by the pattern are assigned to local
variables in the arm's block, and control enters the block.
An example of an alt
expression:
# fn process_pair(a: int, b: int) { }
# fn process_ten() { }
enum list<X> { nil, cons(X, @list<X>) }
let x: list<int> = cons(10, @cons(11, @nil));
alt x {
cons(a, @cons(b, _)) {
process_pair(a,b);
}
cons(10, _) {
process_ten();
}
nil {
ret;
}
_ {
fail;
}
}
Records can also be pattern-matched and their fields bound to variables.
When matching fields of a record, the fields being matched are specified
first, then a placeholder (_
) represents the remaining fields.
# type options = {choose: bool, size: str};
# type player = {player: str, stats: (), options: options};
# fn load_stats() { }
# fn choose_player(r: player) { }
# fn next_player() { }
fn main() {
let r = {
player: "ralph",
stats: load_stats(),
options: {
choose: true,
size: "small"
}
};
alt r {
{options: {choose: true, _}, _} {
choose_player(r)
}
{player: p, options: {size: "small", _}, _} {
log(info, p + " is small");
}
_ {
next_player();
}
}
}
Multiple alternative patterns may be joined with the |
operator. A
range of values may be specified with to
. For example:
# let x = 2;
let message = alt x {
0 | 1 { "not many" }
2 to 9 { "a few" }
_ { "lots" }
};
Finally, alt patterns can accept pattern guards to further refine the
criteria for matching a case. Pattern guards appear after the pattern and
consist of a bool-typed expression following the if
keyword. A pattern
guard may refer to the variables bound within the pattern they follow.
# let maybe_digit = some(0);
# fn process_digit(i: int) { }
# fn process_other(i: int) { }
let message = alt maybe_digit {
some(x) if x < 10 { process_digit(x) }
some(x) { process_other(x) }
none { fail }
};
Fail expressions
fail_expr : "fail" expr ? ;
Evaluating a fail
expression causes a task to enter the failing state. In
the failing state, a task unwinds its stack, destroying all frames and
freeing all resources until it reaches its entry frame, at which point it
halts execution in the dead state.
Note expressions
note_expr : "note" expr ;
Note: Note expressions are not yet supported by the compiler.
A note
expression has no effect during normal execution. The purpose of a
note
expression is to provide additional diagnostic information to the
logging subsystem during task failure. See log
expressions. Using note
expressions, normal diagnostic
logging can be kept relatively sparse, while still providing verbose
diagnostic "back-traces" when a task fails.
When a task is failing, control frames unwind from the innermost frame to
the outermost, and from the innermost lexical block within an unwinding frame
to the outermost. When unwinding a lexical block, the runtime processes all
the note
expressions in the block sequentially, from the first expression of
the block to the last. During processing, a note
expression has equivalent
meaning to a log
expression: it causes the runtime to append the argument of
the note
to the internal logging diagnostic buffer.
An example of a note
expression:
fn read_file_lines(path: str) -> [str] {
note path;
let r: [str];
let f: file = open_read(path);
lines(f) {|s|
r += [s];
}
ret r;
}
In this example, if the task fails while attempting to open or read a file, the runtime will log the path name that was being read. If the function completes normally, the runtime will not log the path.
A value that is marked by a note
expression is not copied aside
when control passes through the note
. In other words, if a note
expression notes a particular lval
, and code after the note
mutates that slot, and then a subsequent failure occurs, the mutated
value will be logged during unwinding, not the original value that was
denoted by the lval
at the moment control passed through the note
expression.
Return expressions
ret_expr : "ret" expr ? ;
Return expressions are denoted with the keyword ret
. Evaluating a ret
expression^[A ret
expression is analogous to a return
expression
in the C family.] moves its argument into the output slot of the current
function, destroys the current function activation frame, and transfers
control to the caller frame.
An example of a ret
expression:
fn max(a: int, b: int) -> int {
if a > b {
ret a;
}
ret b;
}
Log expressions
log_expr : "log" '(' level ',' expr ')' ;
Evaluating a log
expression may, depending on runtime configuration, cause a
value to be appended to an internal diagnostic logging buffer provided by the
runtime or emitted to a system console. Log expressions are enabled or
disabled dynamically at run-time on a per-task and per-item basis. See
logging system.
Each log
expression must be provided with a level argument in
addition to the value to log. The logging level is a u32
value, where
lower levels indicate more-urgent levels of logging. By default, the lowest
four logging levels (0_u32 ... 3_u32
) are predefined as the constants
error
, warn
, info
and debug
in the core
library.
Additionally, the macros #error
, #warn
, #info
and #debug
are defined
in the default syntax-extension namespace. These expand into calls to the
logging facility composed with calls to the #fmt
string formatting
syntax-extension.
The following examples all produce the same output, logged at the error
logging level:
# let filename = "bulbasaur";
// Full version, logging a value.
log(core::error, "file not found: " + filename);
// Log-level abbreviated, since core::* is imported by default.
log(error, "file not found: " + filename);
// Formatting the message using a format-string and #fmt
log(error, #fmt("file not found: %s", filename));
// Using the #error macro, that expands to the previous call.
#error("file not found: %s", filename);
A log
expression is not evaluated when logging at the specified
logging-level, module or task is disabled at runtime. This makes inactive
log
expressions very cheap; they should be used extensively in Rust
code, as diagnostic aids, as they add little overhead beyond a single
integer-compare and branch at runtime.
Logging is presently implemented as a language built-in feature, as it makes use of compiler-provided logic for allocating the associated per-module logging-control structures visible to the runtime, and lazily evaluating arguments. In the future, as more of the supporting compiler-provided logic is moved into libraries, logging is likely to move to a component of the core library. It is best to use the macro forms of logging (#error, #debug, etc.) to minimize disruption to code using the logging facility when it is changed.
Check expressions
check_expr : "check" call_expr ;
A check
expression connects dynamic assertions made at run-time to the
static typestate system. A check
expression takes a
constraint to check at run-time. If the constraint holds at run-time, control
passes through the check
and on to the next expression in the enclosing
block. If the condition fails to hold at run-time, the check
expression
behaves as a fail
expression.
The typestate algorithm is built around check
expressions, and in particular
the fact that control will not pass a check expression with a condition that
fails to hold. The typestate algorithm can therefore assume that the (static)
postcondition of a check
expression includes the checked constraint
itself. From there, the typestate algorithm can perform dataflow calculations
on subsequent expressions, propagating conditions forward and
statically comparing implied states and their specifications.
# fn print(i: int) { }
pure fn even(x: int) -> bool {
ret x & 1 == 0;
}
fn print_even(x: int) : even(x) {
print(x);
}
fn test() {
let y: int = 8;
// Cannot call print_even(y) here.
check even(y);
// Can call print_even(y) here, since even(y) now holds.
print_even(y);
}
Prove expressions
Note: Prove expressions are not yet supported by the compiler.
prove_expr : "prove" call_expr ;
A prove
expression has no run-time effect. Its purpose is to statically
check (and document) that its argument constraint holds at its expression
entry point. If its argument typestate does not hold, under the typestate
algorithm, the program containing it will fail to compile.
Claim expressions
claim_expr : "claim" call_expr ;
A claim
expression is an unsafe variant on a check
expression that is not
actually checked at runtime. Thus, using a claim
implies a proof obligation
to ensure---without compiler assistance---that an assertion always holds.
Setting a runtime flag can turn all claim
expressions into check
expressions in a compiled Rust program, but the default is to not check the
assertion contained in a claim
. The idea behind claim
is that performance
profiling might identify a few bottlenecks in the code where actually checking
a given callee's predicate is too expensive; claim
allows the code to
typecheck without removing the predicate check at every other call site.
If-Check expressions
An if check
expression combines a if
expression and a check
expression in an indivisible unit that can be used to build more complex
conditional control-flow than the check
expression affords.
In fact, if check
is a "more primitive" expression than check
;
instances of the latter can be rewritten as instances of the former. The
following two examples are equivalent:
Example using check
:
# pure fn even(x: int) -> bool { true }
# fn print_even(x: int) { }
# let x = 0;
check even(x);
print_even(x);
Equivalent example using if check
:
# pure fn even(x: int) -> bool { true }
# fn print_even(x: int) { }
# let x = 0;
if check even(x) {
print_even(x);
} else {
fail;
}
Assert expressions
assert_expr : "assert" expr ;
An assert
expression is similar to a check
expression, except
the condition may be any boolean-typed expression, and the compiler makes no
use of the knowledge that the condition holds if the program continues to
execute after the assert
.
Syntax extension expressions
syntax_ext_expr : '#' ident paren_expr_list ? brace_match ? ;
Rust provides a notation for syntax extension. The notation for invoking a syntax extension is a marked syntactic form that can appear as an expression in the body of a Rust program.
After parsing, a syntax-extension invocation is expanded into a Rust expression. The name of the extension determines the translation performed. In future versions of Rust, user-provided syntax extensions aside from macros will be provided via external crates.
At present, only a set of built-in syntax extensions, as well as macros
introduced inline in source code using the macro
extension, may be used. The
current built-in syntax extensions are:
fmt
expands into code to produce a formatted string, similar toprintf
from C.env
expands into a string literal containing the value of that environment variable at compile-time.concat_idents
expands into an identifier which is the concatenation of its arguments.ident_to_str
expands into a string literal containing the name of its argument (which must be a literal).log_syntax
causes the compiler to pretty-print its arguments.
Finally, macro
is used to define a new macro. A macro can abstract over
second-class Rust concepts that are present in syntax. The arguments to
macro
are pairs (two-element vectors). The pairs consist of an invocation
and the syntax to expand into. An example:
#macro([#apply[fn, [args, ...]], fn(args, ...)]);
In this case, the invocation #apply[sum, 5, 8, 6]
expands to
sum(5,8,6)
. If ...
follows an expression (which need not be as
simple as a single identifier) in the input syntax, the matcher will expect an
arbitrary number of occurrences of the thing preceding it, and bind syntax to
the identifiers it contains. If it follows an expression in the output syntax,
it will transcribe that expression repeatedly, according to the identifiers
(bound to syntax) that it contains.
The behaviour of ...
is known as Macro By Example. It allows you to
write a macro with arbitrary repetition by specifying only one case of that
repetition, and following it by ...
, both where the repeated input is
matched, and where the repeated output must be transcribed. A more
sophisticated example:
#macro([#zip_literals[[x, ...], [y, ...]), [[x, y], ...]]);
#macro([#unzip_literals[[x, y], ...], [[x, ...], [y, ...]]]);
In this case, #zip_literals[[1,2,3], [1,2,3]]
expands to
[[1,1],[2,2],[3,3]]
, and #unzip_literals[[1,1], [2,2], [3,3]]
expands to [[1,2,3],[1,2,3]]
.
Macro expansion takes place outside-in: that is,
#unzip_literals[#zip_literals[[1,2,3],[1,2,3]]]
will fail because
unzip_literals
expects a list, not a macro invocation, as an argument.
The macro system currently has some limitations. It's not possible to
destructure anything other than vector literals (therefore, the arguments to
complicated macros will tend to be an ocean of square brackets). Macro
invocations and ...
can only appear in expression positions. Finally,
macro expansion is currently unhygienic. That is, name collisions between
macro-generated and user-written code can cause unintentional capture.
Future versions of Rust will address these issues.
Types and typestates
Types
Every slot and value in a Rust program has a type. The type of a value defines the interpretation of the memory holding it. The type of a slot may also include constraints.
Built-in types and type-constructors are tightly integrated into the language, in nontrivial ways that are not possible to emulate in user-defined types. User-defined types have limited capabilities. In addition, every built-in type or type-constructor name is reserved as a keyword in Rust; they cannot be used as user-defined identifiers in any context.
Primitive types
The primitive types are the following:
- The "nil" type
()
, having the single "nil" value()
.^[The "nil" value()
is not a sentinel "null pointer" value for reference slots; the "nil" type is the implicit return type from functions otherwise lacking a return type, and can be used in other contexts (such as message-sending or type-parametric code) as a zero-size type.] - The boolean type
bool
with valuestrue
andfalse
. - The machine types.
- The machine-dependent integer and floating-point types.
Machine types
The machine types are the following:
-
The unsigned word types
u8
,u16
,u32
andu64
, with values drawn from the integer intervals[0, 2^8 - 1]
,[0, 2^16 - 1]
,[0, 2^32 - 1]
and[0, 2^64 - 1]
respectively. -
The signed two's complement word types
i8
,i16
,i32
andi64
, with values drawn from the integer intervals[-(2^7), 2^7 - 1]
,[-(2^15), 2^15 - 1]
,[-(2^31), 2^31 - 1]
, $[-(2^63), 2^63 - 1]$ respectively. -
The IEEE 754-2008
binary32
andbinary64
floating-point types:f32
andf64
, respectively.
Machine-dependent integer types
The Rust type uint
^[A Rust uint
is analogous to a C99 uintptr_t
.] is an
unsigned integer type with target-machine-dependent size. Its size, in
bits, is equal to the number of bits required to hold any memory address on
the target machine.
The Rust type int
^[A Rust int
is analogous to a C99 intptr_t
.] is a
two's complement signed integer type with target-machine-dependent size. Its
size, in bits, is equal to the size of the rust type uint
on the same target
machine.
Machine-dependent floating point type
The Rust type float
is a machine-specific type equal to one of the supported
Rust floating-point machine types (f32
or f64
). It is the largest
floating-point type that is directly supported by hardware on the target
machine, or if the target machine has no floating-point hardware support, the
largest floating-point type supported by the software floating-point library
used to support the other floating-point machine types.
Note that due to the preference for hardware-supported floating-point, the
type float
may not be equal to the largest supported floating-point type.
Textual types
The types char
and str
hold textual data.
A value of type char
is a Unicode character, represented as a 32-bit
unsigned word holding a UCS-4 codepoint.
A value of type str
is a Unicode string, represented as a vector of 8-bit
unsigned bytes holding a sequence of UTF-8 codepoints.
Record types
The record type-constructor forms a new heterogeneous product of values.^[The
record type-constructor is analogous to the struct
type-constructor in the
Algol/C family, the record types of the ML family, or the structure types
of the Lisp family.] Fields of a record type are accessed by name and are
arranged in memory in the order specified by the record type.
An example of a record type and its use:
type point = {x: int, y: int};
let p: point = {x: 10, y: 11};
let px: int = p.x;
Tuple types
The tuple type-constructor forms a new heterogeneous product of values similar to the record type-constructor. The differences are as follows:
- tuple elements cannot be mutable, unlike record fields
- tuple elements are not named and can be accessed only by pattern-matching
Tuple types and values are denoted by listing the types or values of their elements, respectively, in a parenthesized, comma-separated list. Single-element tuples are not legal; all tuples have two or more values.
The members of a tuple are laid out in memory contiguously, like a record, in order specified by the tuple type.
An example of a tuple type and its use:
type pair = (int,str);
let p: pair = (10,"hello");
let (a, b) = p;
assert b != "world";
Vector types
The vector type-constructor represents a homogeneous array of values of a given type. A vector has a fixed size. The kind of a vector type depends on the kind of its member type, as with other simple structural types.
An example of a vector type and its use:
let v: [int] = [7, 5, 3];
let i: int = v[2];
assert (i == 3);
Vectors always allocate a storage region sufficient to store the first power of two worth of elements greater than or equal to the size of the vector. This behaviour supports idiomatic in-place "growth" of a mutable slot holding a vector:
let mut v: [int] = [1, 2, 3];
v += [4, 5, 6];
Normal vector concatenation causes the allocation of a fresh vector to hold the result; in this case, however, the slot holding the vector recycles the underlying storage in-place (since the reference-count of the underlying storage is equal to 1).
All accessible elements of a vector are always initialized, and access to a vector is always bounds-checked.
Enumerated types
An enumerated type is a nominal, heterogeneous disjoint union type.^[The
enum
type is analogous to a data
constructor declaration in ML or a pick
ADT in Limbo.] An enum
item consists of a number of
constructors, each of which is independently named and takes an optional
tuple of arguments.
Enumerated types cannot be denoted structurally as types, but must be denoted by named reference to an enumeration item.
Box types
Box types are represented as pointers. There are three flavours of pointers:
Shared boxes (@
)
: These are reference-counted boxes. Their type is written
@content
, for example @int
means a shared box containing an
integer. Copying a value of such a type means copying the pointer
and increasing the reference count.
Unique boxes (~
)
: Unique boxes have only a single owner, and are freed when their
owner releases them. They are written ~content
. Copying a
unique box involves copying the contents into a new box.
Unsafe pointers (*
)
: Unsafe pointers are pointers without safety guarantees or
language-enforced semantics. Their type is written *content
.
They can be copied and dropped freely. Dereferencing an unsafe
pointer is part of the unsafe sub-dialect of Rust.
Function types
The function type-constructor fn
forms new function types. A function type
consists of a sequence of input slots, an optional set of
input constraints and an output slot.
An example of a fn
type:
fn add(x: int, y: int) -> int {
ret x + y;
}
let mut x = add(5,7);
type binop = fn(int,int) -> int;
let bo: binop = add;
x = bo(5,7);
Type kinds
Types in Rust are categorized into three kinds, based on whether they allow copying of their values, and sending to different tasks. The kinds are:
Sendable : Values with a sendable type can be safely sent to another task. This kind includes scalars, unique pointers, unique closures, and structural types containing only other sendable types. Copyable : This kind includes all types that can be copied. All types with sendable kind are copyable, as are shared boxes, shared closures, interface types, and structural types built out of these. Noncopyable : Resource types, and every type that includes a resource without storing it in a shared box, may not be copied. Types of sendable or copyable type can always be used in places where a noncopyable type is expected, so in effect this kind includes all types.
These form a hierarchy. The noncopyable kind is the widest, including all types in the language. The copyable kind is a subset of that, and the sendable kind is a subset of the copyable kind.
Any operation that causes a value to be copied requires the type of
that value to be of copyable kind. Type parameter types are assumed to
be noncopyable, unless one of the special bounds send
or copy
is
declared for it. For example, this is not a valid program:
fn box<T>(x: T) -> @T { @x }
Putting x
into a shared box involves copying, and the T
parameter
is assumed to be noncopyable. To change that, a bound is declared:
fn box<T: copy>(x: T) -> @T { @x }
Calling this second version of box
on a noncopyable type is not
allowed. When instantiating a type parameter, the kind bounds on the
parameter are checked to be the same or narrower than the kind of the
type that it is instantiated with.
Sending operations are not part of the Rust language, but are implemented in the library. Generic functions that send values bound the kind of these values to sendable.
Typestate system
Rust programs have a static semantics that determine the types of values produced by each expression, as well as the predicates that hold over slots in the environment at each point in time during execution.
The latter semantics -- the dataflow analysis of predicates holding over slots -- is called the typestate system.
Points
Control flows from statement to statement in a block, and through the evaluation of each expression, from one sub-expression to another. This sequential control flow is specified as a set of points, each of which has a set of points before and after it in the implied control flow.
For example, this code:
# let mut s;
s = "hello, world";
io::println(s);
Consists of 2 statements, 3 expressions and 12 points:
- the point before the first statement
- the point before evaluating the static initializer
"hello, world"
- the point after evaluating the static initializer
"hello, world"
- the point after the first statement
- the point before the second statement
- the point before evaluating the function value
print
- the point after evaluating the function value
print
- the point before evaluating the arguments to
print
- the point before evaluating the symbol
s
- the point after evaluating the symbol
s
- the point after evaluating the arguments to
print
- the point after the second statement
Whereas this code:
# fn x() -> str { "" }
# fn y() -> str { "" }
io::println(x() + y());
Consists of 1 statement, 7 expressions and 14 points:
- the point before the statement
- the point before evaluating the function value
print
- the point after evaluating the function value
print
- the point before evaluating the arguments to
print
- the point before evaluating the arguments to
+
- the point before evaluating the function value
x
- the point after evaluating the function value
x
- the point before evaluating the arguments to
x
- the point after evaluating the arguments to
x
- the point before evaluating the function value
y
- the point after evaluating the function value
y
- the point before evaluating the arguments to
y
- the point after evaluating the arguments to
y
- the point after evaluating the arguments to
+
- the point after evaluating the arguments to
print
The typestate system reasons over points, rather than statements or expressions. This may seem counter-intuitive, but points are the more primitive concept. Another way of thinking about a point is as a set of instants in time at which the state of a task is fixed. By contrast, a statement or expression represents a duration in time, during which the state of the task changes. The typestate system is concerned with constraining the possible states of a task's memory at instants; it is meaningless to speak of the state of a task's memory "at" a statement or expression, as each statement or expression is likely to change the contents of memory.
Control flow graph
Each point can be considered a vertex in a directed graph. Each kind of expression or statement implies a number of points and edges in this graph. The edges connect the points within each statement or expression, as well as between those points and those of nearby statements and expressions in the program. The edges between points represent possible indivisible control transfers that might occur during execution.
This implicit graph is called the control-flow graph, or CFG.
Constraints
A predicate is a pure boolean function declared with
the keywords pure fn
.
A constraint is a predicate applied to specific slots.
For example, consider the following code:
pure fn is_less_than(a: int, b: int) -> bool {
ret a < b;
}
fn test() {
let x: int = 10;
let y: int = 20;
check is_less_than(x,y);
}
This example defines the predicate is_less_than
, and applies it to the slots
x
and y
. The constraint being checked on the third line of the function is
is_less_than(x,y)
.
Predicates can only apply to slots holding immutable values. The slots a predicate applies to can themselves be mutable, but the types of values held in those slots must be immutable.
Conditions
A condition is a set of zero or more constraints.
Each point has an associated condition:
- The precondition of a statement or expression is the condition required at in the point before it.
- The postcondition of a statement or expression is the condition enforced in the point after it.
Any constraint present in the precondition and absent in the postcondition is considered to be dropped by the statement or expression.
Calculated typestates
The typestate checking system calculates an additional condition for each point called its typestate. For a given statement or expression, we call the two typestates associated with its two points the prestate and a poststate.
- The prestate of a statement or expression is the typestate of the point before it.
- The poststate of a statement or expression is the typestate of the point after it.
A typestate is a condition that has been determined by the typestate algorithm to hold at a point. This is a subtle but important point to understand: preconditions and postconditions are inputs to the typestate algorithm; prestates and poststates are outputs from the typestate algorithm.
The typestate algorithm analyses the preconditions and postconditions of every statement and expression in a block, and computes a condition for each typestate. Specifically:
- Initially, every typestate is empty.
- Each statement or expression's poststate is given the union of the its prestate, precondition, and postcondition.
- Each statement or expression's poststate has the difference between its precondition and postcondition removed.
- Each statement or expression's prestate is given the intersection of the poststates of every predecessor point in the CFG.
- The previous three steps are repeated until no typestates in the block change.
The typestate algorithm is a very conventional dataflow calculation, and can be performed using bit-set operations, with one bit per predicate and one bit-set per condition.
After the typestates of a block are computed, the typestate algorithm checks that every constraint in the precondition of a statement is satisfied by its prestate. If any preconditions are not satisfied, the mismatch is considered a static (compile-time) error.
Typestate checks
The key mechanism that connects run-time semantics and compile-time analysis
of typestates is the use of check
expressions. A
check
expression guarantees that if control were to proceed past it, the
predicate associated with the check
would have succeeded, so the constraint
being checked statically holds in subsequent points.^[A check
expression
is similar to an assert
call in a C program, with the significant difference
that the Rust compiler tracks the constraint that each check
expression
enforces. Naturally, check
expressions cannot be omitted from a "production
build" of a Rust program the same way asserts
are frequently disabled in
deployed C programs.}
It is important to understand that the typestate system has no insight into
the meaning of a particular predicate. Predicates and constraints are not
evaluated in any way at compile time. Predicates are treated as specific (but
unknown) functions applied to specific (also unknown) slots. All the typestate
system does is track which of those predicates -- whatever they calculate --
must have been checked already in order for program control to reach a
particular point in the CFG. The fundamental building block, therefore, is the
check
statement, which tells the typestate system "if control passes this
point, the checked predicate holds".
From this building block, constraints can be propagated to function signatures
and constrained types, and the responsibility to check
a constraint
pushed further and further away from the site at which the program requires it
to hold in order to execute properly.
Memory and concurrency models
Rust has a memory model centered around concurrently-executing tasks. Thus its memory model and its concurrency model are best discussed simultaneously, as parts of each only make sense when considered from the perspective of the other.
When reading about the memory model, keep in mind that it is partitioned in order to support tasks; and when reading about tasks, keep in mind that their isolation and communication mechanisms are only possible due to the ownership and lifetime semantics of the memory model.
Memory model
A Rust program's memory consists of a static set of items, a set of tasks each with its own stack, and a heap. Immutable portions of the heap may be shared between tasks, mutable portions may not.
Allocations in the stack consist of slots, and allocations in the heap consist of boxes.
Memory allocation and lifetime
The items of a program are those functions, modules and types that have their value calculated at compile-time and stored uniquely in the memory image of the rust process. Items are neither dynamically allocated nor freed.
A task's stack consists of activation frames automatically allocated on entry to each function as the task executes. A stack allocation is reclaimed when control leaves the frame containing it.
The heap is a general term that describes two separate sets of boxes: shared boxes -- which may be subject to garbage collection -- and unique boxes. The lifetime of an allocation in the heap depends on the lifetime of the box values pointing to it. Since box values may themselves be passed in and out of frames, or stored in the heap, heap allocations may outlive the frame they are allocated within.
Memory ownership
A task owns all memory it can safely reach through local variables, shared or unique boxes, and/or references. Sharing memory between tasks can only be accomplished using unsafe constructs, such as raw pointer operations or calling C code.
When a task sends a value satisfying the send
interface over a channel, it
loses ownership of the value sent and can no longer refer to it. This is
statically guaranteed by the combined use of "move semantics" and the
compiler-checked meaning of the send
interface: it is only instantiated
for (transitively) unique kinds of data constructor and pointers, never shared
pointers.
When a stack frame is exited, its local allocations are all released, and its references to boxes (both shared and owned) are dropped.
A shared box may (in the case of a recursive, mutable shared type) be cyclic; in this case the release of memory inside the shared structure may be deferred until task-local garbage collection can reclaim it. Code can ensure no such delayed deallocation occurs by restricting itself to unique boxes and similar unshared kinds of data.
When a task finishes, its stack is necessarily empty and it therefore has no references to any boxes; the remainder of its heap is immediately freed.
Memory slots
A task's stack contains slots.
A slot is a component of a stack frame. A slot is either a local variable or a reference.
A local variable (or stack-local allocation) holds a value directly, allocated within the stack's memory. The value is a part of the stack frame.
A reference references a value outside the frame. It may refer to a value allocated in another frame or a boxed value in the heap. The reference-formation rules ensure that the referent will outlive the reference.
Local variables are immutable unless declared with let mut
. The
mut
keyword applies to all local variables declared within that
declaration (so let mut x, y
declares two mutable variables, x
and
y
).
Local variables are not initialized when allocated; the entire frame worth of local variables are allocated at once, on frame-entry, in an uninitialized state. Subsequent statements within a function may or may not initialize the local variables. Local variables can be used only after they have been initialized; this condition is guaranteed by the typestate system.
References are created for function arguments. If the compiler can not prove that the referred-to value will outlive the reference, it will try to set aside a copy of that value to refer to. If this is not semantically safe (for example, if the referred-to value contains mutable fields), it will reject the program. If the compiler deems copying the value expensive, it will warn.
A function can be declared to take an argument by mutable reference. This allows the function to write to the slot that the reference refers to.
An example function that accepts an value by mutable reference:
fn incr(&i: int) {
i = i + 1;
}
Memory boxes
A box is a reference to a heap allocation holding another value. There are two kinds of boxes: shared boxes and unique boxes.
A shared box type or value is constructed by the prefix at sigil @
.
A unique box type or value is constructed by the prefix tilde sigil ~
.
Multiple shared box values can point to the same heap allocation; copying a shared box value makes a shallow copy of the pointer (optionally incrementing a reference count, if the shared box is implemented through reference-counting).
Unique box values exist in 1:1 correspondence with their heap allocation; copying a unique box value makes a deep copy of the heap allocation and produces a pointer to the new allocation.
An example of constructing one shared box type and value, and one unique box type and value:
let x: @int = @10;
let x: ~int = ~10;
Some operations (such as field selection) implicitly dereference boxes. An example of an @dfn{implicit dereference} operation performed on box values:
let x = @{y: 10};
assert x.y == 10;
Other operations act on box values as single-word-sized address values. For
these operations, to access the value held in the box requires an explicit
dereference of the box value. Explicitly dereferencing a box is indicated with
the unary star operator *
. Examples of such @dfn{explicit
dereference} operations are:
- copying box values (
x = y
) - passing box values to functions (
f(x,y)
)
An example of an explicit-dereference operation performed on box values:
fn takes_boxed(b: @int) {
}
fn takes_unboxed(b: int) {
}
fn main() {
let x: @int = @10;
takes_boxed(x);
takes_unboxed(*x);
}
Tasks
An executing Rust program consists of a tree of tasks. A Rust task consists of an entry function, a stack, a set of outgoing communication channels and incoming communication ports, and ownership of some portion of the heap of a single operating-system process.
Multiple Rust tasks may coexist in a single operating-system process. The runtime scheduler maps tasks to a certain number of operating-system threads; by default a number of threads is used based on the number of concurrent physical CPUs detected at startup, but this can be changed dynamically at runtime. When the number of tasks exceeds the number of threads -- which is quite possible -- the tasks are multiplexed onto the threads ^[This is an M:N scheduler, which is known to give suboptimal results for CPU-bound concurrency problems. In such cases, running with the same number of threads as tasks can give better results. The M:N scheduling in Rust exists to support very large numbers of tasks in contexts where threads are too resource-intensive to use in a similar volume. The cost of threads varies substantially per operating system, and is sometimes quite low, so this flexibility is not always worth exploiting.]
Communication between tasks
With the exception of unsafe blocks, Rust tasks are isolated from interfering with one another's memory directly. Instead of manipulating shared storage, Rust tasks communicate with one another using a typed, asynchronous, simplex message-passing system.
A port is a communication endpoint that can receive messages. Ports receive messages from channels.
A channel is a communication endpoint that can send messages. Channels send messages to ports.
Each port is implicitly boxed and mutable; as such a port has a unique per-task identity and cannot be replicated or transmitted. If a port value is copied, both copies refer to the same port. New ports can be constructed dynamically and stored in data structures.
Each channel is bound to a port when the channel is constructed, so the destination port for a channel must exist before the channel itself. A channel cannot be rebound to a different port from the one it was constructed with.
Channels are weak: a channel does not keep the port it is bound to alive. Ports are owned by their allocating task and cannot be sent over channels; if a task dies its ports die with it, and all channels bound to those ports no longer function. Messages sent to a channel connected to a dead port will be dropped.
Channels are immutable types with meaning known to the runtime; channels can be sent over channels.
Many channels can be bound to the same port, but each channel is bound to a single port. In other words, channels and ports exist in an N:1 relationship, N channels to 1 port. ^[It may help to remember nautical terminology when differentiating channels from ports. Many different waterways -- channels -- may lead to the same port.]
Each port and channel can carry only one type of message. The message type is
encoded as a parameter of the channel or port type. The message type of a
channel is equal to the message type of the port it is bound to. The types of
messages must satisfy the send
built-in interface.
Messages are generally sent asynchronously, with optional rate-limiting on the transmit side. Each port contains a message queue and sending a message over a channel merely means inserting it into the associated port's queue; message receipt is the responsibility of the receiving task.
Messages are sent on channels and received on ports using standard library functions.
Task lifecycle
The lifecycle of a task consists of a finite set of states and events that cause transitions between the states. The lifecycle states of a task are:
- running
- blocked
- failing
- dead
A task begins its lifecycle -- once it has been spawned -- in the running state. In this state it executes the statements of its entry function, and any functions called by the entry function.
A task may transition from the running state to the blocked state any time it makes a blocking receive call on a port, or attempts a rate-limited blocking send on a channel. When the communication expression can be completed -- when a message arrives at a sender, or a queue drains sufficiently to complete a rate-limited send -- then the blocked task will unblock and transition back to running.
A task may transition to the failing state at any time, due being
killed by some external event or internally, from the evaluation of a
fail
expression. Once failing, a task unwinds its stack and
transitions to the dead state. Unwinding the stack of a task is done by
the task itself, on its own control stack. If a value with a destructor is
freed during unwinding, the code for the destructor is run, also on the task's
control stack. Running the destructor code causes a temporary transition to a
running state, and allows the destructor code to cause any subsequent
state transitions. The original task of unwinding and failing thereby may
suspend temporarily, and may involve (recursive) unwinding of the stack of a
failed destructor. Nonetheless, the outermost unwinding activity will continue
until the stack is unwound and the task transitions to the dead
state. There is no way to "recover" from task failure. Once a task has
temporarily suspended its unwinding in the failing state, failure
occurring from within this destructor results in hard failure. The
unwinding procedure of hard failure frees resources but does not execute
destructors. The original (soft) failure is still resumed at the point where
it was temporarily suspended.
A task in the dead state cannot transition to other states; it exists only to have its termination status inspected by other tasks, and/or to await reclamation when the last reference to it drops.
Task scheduling
The currently scheduled task is given a finite time slice in which to execute, after which it is descheduled at a loop-edge or similar preemption point, and another task within is scheduled, pseudo-randomly.
An executing task can yield control at any time, by making a library call to
core::task::yield
, which deschedules it immediately. Entering any other
non-executing state (blocked, dead) similarly deschedules the task.
Spawning tasks
A call to core::task::spawn
, passing a 0-argument function as its single
argument, causes the runtime to construct a new task executing the passed
function. The passed function is referred to as the entry function for
the spawned task, and any captured environment is carries is moved from the
spawning task to the spawned task before the spawned task begins execution.
The result of a spawn
call is a core::task::task
value.
An example of a spawn
call:
let po = comm::port();
let ch = comm::chan(po);
task::spawn {||
// let task run, do other things
// ...
comm::send(ch, true);
};
let result = comm::recv(po);
Sending values into channels
Sending a value into a channel is done by a library call to core::comm::send
,
which takes a channel and a value to send, and moves the value into the
channel's outgoing buffer.
An example of a send:
let po = comm::port();
let ch = comm::chan(po);
comm::send(ch, "hello, world");
Receiving values from ports
Receiving a value is done by a call to the recv
method on a value of type
core::comm::port
. This call causes the receiving task to enter the blocked
reading state until a value arrives in the port's receive queue, at which
time the port deques a value to return, and un-blocks the receiving task.
An example of a receive:
# let po = comm::port();
# let ch = comm::chan(po);
# comm::send(ch, "");
let s = comm::recv(po);
Runtime services, linkage and debugging
The Rust runtime is a relatively compact collection of C and Rust code that provides fundamental services and datatypes to all Rust tasks at run-time. It is smaller and simpler than many modern language runtimes. It is tightly integrated into the language's execution model of memory, tasks, communication and logging.
Memory allocation
The runtime memory-management system is based on a service-provider
interface, through which the runtime requests blocks of memory from its
environment and releases them back to its environment when they are no longer
in use. The default implementation of the service-provider interface consists
of the C runtime functions malloc
and free
.
The runtime memory-management system in turn supplies Rust tasks with facilities for allocating, extending and releasing stacks, as well as allocating and freeing boxed values.
Built in types
The runtime provides C and Rust code to assist with various built-in types, such as vectors, strings, and the low level communication system (ports, channels, tasks).
Support for other built-in types such as simple types, tuples, records, and enums is open-coded by the Rust compiler.
Task scheduling and communication
The runtime provides code to manage inter-task communication. This includes the system of task-lifecycle state transitions depending on the contents of queues, as well as code to copy values between queues and their recipients and to serialize values for transmission over operating-system inter-process communication facilities.
Logging system
The runtime contains a system for directing logging expressions to a logging console and/or internal logging buffers. Logging expressions can be enabled per module.
Logging output is enabled by setting the RUST_LOG
environment
variable. RUST_LOG
accepts a logging specification made up of a
comma-separated list of paths, with optional log levels. For each
module containing log expressions, if RUST_LOG
contains the path to
that module or a parent of that module, then logs of the appropriate
level will be output to the console.
The path to a module consists of the crate name, any parent modules,
then the module itself, all separated by double colons (::
). The
optional log level can be appended to the module path with an equals
sign (=
) followed by the log level, from 0 to 3, inclusive. Level 0
is the error level, 1 is warning, 2 info, and 3 debug. Any logs
less than or equal to the specified level will be output. If not
specified then log level 3 is assumed.
As an example, to see all the logs generated by the compiler, you would set
RUST_LOG
to rustc
, which is the crate name (as specified in its link
attribute). To narrow down the logs to just crate resolution,
you would set it to rustc::metadata::creader
. To see just error logging
use rustc=0
.
Note that when compiling either .rs
or .rc
files that don't specify a
crate name the crate is given a default name that matches the source file,
with the extension removed. In that case, to turn on logging for a program
compiled from, e.g. helloworld.rs
, RUST_LOG
should be set to helloworld
.
As a convenience, the logging spec can also be set to a special psuedo-crate,
::help
. In this case, when the application starts, the runtime will
simply output a list of loaded modules containing log expressions, then exit.
The Rust runtime itself generates logging information. The runtime's logs are
generated for a number of artificial modules in the ::rt
psuedo-crate,
and can be enabled just like the logs for any standard module. The full list
of runtime logging modules follows.
::rt::mem
Memory management::rt::comm
Messaging and task communication::rt::task
Task management::rt::dom
Task scheduling::rt::trace
Unused::rt::cache
Type descriptor cache::rt::upcall
Compiler-generated runtime calls::rt::timer
The scheduler timer::rt::gc
Garbage collection::rt::stdlib
Functions used directly by the standard library::rt::kern
The runtime kernel::rt::backtrace
Log a backtrace on task failure::rt::callback
Unused
Appendix: Rationales and design tradeoffs
TODO.
Appendix: Influences and further references
Influences
The essential problem that must be solved in making a fault-tolerant software system is therefore that of fault-isolation. Different programmers will write different modules, some modules will be correct, others will have errors. We do not want the errors in one module to adversely affect the behaviour of a module which does not have any errors.
— Joe Armstrong
In our approach, all data is private to some process, and processes can only communicate through communications channels. Security, as used in this paper, is the property which guarantees that processes in a system cannot affect each other except by explicit communication.
When security is absent, nothing which can be proven about a single module in isolation can be guaranteed to hold when that module is embedded in a system [...]
— Robert Strom and Shaula Yemini
Concurrent and applicative programming complement each other. The ability to send messages on channels provides I/O without side effects, while the avoidance of shared data helps keep concurrent processes from colliding.
— Rob Pike
Rust is not a particularly original language. It may however appear unusual by contemporary standards, as its design elements are drawn from a number of "historical" languages that have, with a few exceptions, fallen out of favour. Five prominent lineages contribute the most, though their influences have come and gone during the course of Rust's development:
-
The NIL (1981) and Hermes (1990) family. These languages were developed by Robert Strom, Shaula Yemini, David Bacon and others in their group at IBM Watson Research Center (Yorktown Heights, NY, USA).
-
The Erlang (1987) language, developed by Joe Armstrong, Robert Virding, Claes Wikström, Mike Williams and others in their group at the Ericsson Computer Science Laboratory (Älvsjö, Stockholm, Sweden) .
-
The Sather (1990) language, developed by Stephen Omohundro, Chu-Cheow Lim, Heinz Schmidt and others in their group at The International Computer Science Institute of the University of California, Berkeley (Berkeley, CA, USA).
-
The Newsqueak (1988), Alef (1995), and Limbo (1996) family. These languages were developed by Rob Pike, Phil Winterbottom, Sean Dorward and others in their group at Bell labs Computing Sciences Research Center (Murray Hill, NJ, USA).
-
The Napier (1985) and Napier88 (1988) family. These languages were developed by Malcolm Atkinson, Ron Morrison and others in their group at the University of St. Andrews (St. Andrews, Fife, UK).
Additional specific influences can be seen from the following languages:
- The stack-growth implementation of Go.
- The structural algebraic types and compilation manager of SML.
- The attribute and assembly systems of C#.
- The deterministic destructor system of C++.
- The typeclass system of Haskell.
- The lexical identifier rule of Python.
- The block syntax of Ruby.