```rust lexer! { // First line specifies name of the lexer and the token type returned by // user actions Lexer -> Token;
// Regular expressions can be named with `let` syntax
let init = ['a'-'z'];
let subseq = $init | ['A'-'Z' '0'-'9' '-' '_'];
// Rule sets have names. Each rule set is compiled to a separate DFA.
// Switching between rule sets is done explicitly in user actions.
rule Init {
// Rules without a right-hand sides for skipping whitespace, comments, etc.
[' ' '\t' '\n']+,
// Rule for matching identifiers
$init $subseq* =>
|lexer| {
let token = Token::Id(lexer.match_().to_owned());
lexer.return_(token)
},
}
}
// The token type
enum Token { // An identifier Id(String), }
// Generated lexers are initialized with a &str
for the input
let mut lexer = Lexer::new(" abc123Q-t z9_9");
// Lexers implement Iterator<Item=Result<(usize, T, usize), LexerError>>
,
// where T
is the token type specified in the lexer definition (Token
in
// this case), and usize
s indicate byte indices of beginning and end of the
// lexemes.
asserteq!(
lexer.next(),
Some(Ok((1, Token::Id("abc123Q-t".toowned()), 10)))
);
asserteq!(
lexer.next(),
Some(Ok((12, Token::Id("z99".toowned()), 16)))
);
asserteq!(lexer.next(), None);
```
You can see more examples here, and a full Lua 5.1 lexer here.
Implementing lexing is often (along with parsing) the most tedious part of implementing a language. Lexer generators make this much easier, but in Rust existing lexer generators miss essential features for practical use, and/or require a pre-processing step when building.
My goal with lexgen is to have a feature-complete and easy to use lexer generator.
lexgen doesn't require a build step. Just add it as a dependency in your
Cargo.toml
.
lexgen lexers start with type of the generated lexer struct, optional user state part, and the token type (type of values returned by user actions). Example:
rust
lexer! {
Lexer(LexerState) -> Token;
...
}
Here the lexer struct is named Lexer
. User state type is LexerState
(this
type should be defined by the user). The token type is Token
.
Next is let bindings for regular expressions. These are optional. The syntax is
let <id> = <regex>;
where <id>
is a Rust identifier and regex is as
described below.
rust
let init = ['a'-'z'];
let subseq = $init | ['A'-'Z' '0'-'9' '-' '_'];
Finally we define the lexer rules:
```rust rule Init { ... }
rule SomeOtherRule { ... } ```
The first rule set will be defining the initial state of the lexer and needs to
be named Init
.
In the body of a rule
block we define the rules for that lexer state. The
syntax for a rule is <regex> => <user action>,
. Regex syntax is described
below. User action is any Rust code with type fn(LexerHandle) -> LexerAction
where LexerHandle
and LexerAction
are generated names derived from the lexer
name (Lexer
). More on these types below.
In summary:
First line is in form <lexer name>(<user state type>) -> <token type name>
.
The (<user state type>)
part can be omitted for stateless lexers.
Next we have let bindings for regexes. This part is optional.
Next is the rule sets. There should be at least one rule set with the name
Init
, which is the name of the initial state.
Regex syntax can be used in right-hand side of let bindings and left-hand side of rules. The syntax is:
$var
for variables defined in the let binding section. Variables need to be
defined before used.'a'
."abc"
.[...]
for character sets. Inside the brackets you can have one or more of:
'a'-'z'
Here's an example character set for ASCII alphanumerics: ['a'-'z' 'A'-'Z'
'0'-'9']
<regex>*
for zero or more repetitions of <regex>
<regex>+
for one or more repetitions of <regex>
<regex>?
for zero or one repetitions of <regex>
<regex> <regex>
for concatenation<regex> | <regex>
for alternation (match the first one, or the second one)_
can only appear at the top-level (in a LHS of a rule) and matches when
none of the other rules match.*
, +
, and ?
have the same binding power. |
has the least binding power.
You can use parenthesis for grouping, e.g. ('a' | 'b')*
A rule is just a <regex> => <user action>,
. <regex>
is as described above.
<user action>
is any Rust code with type fn(LexerHandle) -> LexerAction
.
More on these types below.
An alternative syntax without a right-hand side, <regex>,
, can be used when
the user action is just "continue". (more on user actions below)
The lexer
macro generates three types with names derived from the lexer name
specified by the user. If the lexer name is Lexer
, then these types are:
LexerAction
: this is the type returned by user actions. You don't need to
worry about the detail of this type as the handle type has methods for
generating LexerAction
s.
LexerRule
: see the LexerHandle::switch
method below.
LexerHandle
: this type is the argument type of user actions. It provides
methods for manipulating user and lexer states, and getting the current match.
The API is:
fn match_(&self) -> &str
: returns the current matchfn peek(&mut self) -> Option<char>
: looks ahead one characterfn state(&mut self) -> &mut <user state type>
: returns a mutable reference
to the user statefn return_(self, token: <user token type>) -> LexerAction
: returns the
passed token as a match.fn continue_(self) -> LexerAction
: ignores the current match and continues
lexing in the same lexer state. Useful for skipping whitespace and comments.fn switch(self, rule: LexerRule) -> LexerAction
: used for switching
between lexer states. The LexerRule
is an enum with a variant for each
rule set name, for example, LexerRule::Init
. See the stateful lexer
example below.fn switch_and_return(self, rule: LexerRule, token: <user token type>) ->
LexerAction
: switches to the given lexer state and returns the given token.Here's an example lexer that counts number of =
s appear between two [
s:
```rust lexer! { Lexer(usize) -> usize;
rule Init {
' ',
'[' =>
|mut lexer| {
*lexer.state() = 0; // line 9
lexer.switch(LexerRule::Count) // line 10
},
}
rule Count {
'=' =>
|mut lexer| {
let n = *lexer.state();
*lexer.state() = n + 1; // line 18
lexer.continue_() // line 19
},
'[' =>
|mut lexer| {
let n = *lexer.state();
lexer.switch_and_return(LexerRule::Init, n) // line 25
},
}
}
let mut lexer = Lexer::new("[[ [=[ [==["); asserteq!(lexer.next(), Some(Ok((0, 0, 2)))); asserteq!(lexer.next(), Some(Ok((3, 1, 6)))); asserteq!(lexer.next(), Some(Ok((7, 2, 11)))); asserteq!(lexer.next(), None); ```
Initially (the Init
rule set) we skip spaces. When we see a [
we initialize
the user state (line 9) and switch to the Count
state (line 10). In Count
,
each =
increments the user state by one (line 18) and skips the match (line
19). A [
in the Count
state returns the current number and switches to the
Init
state (line 25).
lexgen's implementation should be fairly standard. Each rule set is compiled to
a separate NFA. NFAs are then compiled to DFAs. DFAs are added to the same DFA
type but there are no transitions between nodes of different DFAs: transitions
between DFAs are done by user action, using the switch
method of lexer
handles, as described above.
Generated code for a DFA is basically a loop that iterates over characters of the input string:
```
loop {
match
... // other characters expected in this state
_ => ... // for an accepting state, run user
// action, for a non-accepting, fail
}
},
... // same stuff for other DFA states
}
} ```