Struct `Regex`

struct Regex { ... }

A regex matcher that works by composing several other regex matchers automatically.

In effect, a meta regex papers over a lot of the quirks or performance problems in each of the regex engines in this crate. Its goal is to provide an infallible and simple API that "just does the right thing" in the common case.

A meta regex is the implementation of a Regex in the regex crate. Indeed, the regex crate API is essentially just a light wrapper over this type. This includes the regex crate's RegexSet API!

Composition

This is called a "meta" matcher precisely because it uses other regex matchers to provide a convenient high level regex API. Here are some examples of how other regex matchers are composed:

When calling Regex::captures, instead of immediately running a slower but more capable regex engine like the PikeVM, the meta regex engine will usually first look for the bounds of a match with a higher throughput regex engine like a lazy DFA. Only when a match is found is a slower engine like PikeVM used to find the matching span for each capture group.
While higher throughout engines like the lazy DFA cannot handle Unicode word boundaries in general, they can still be used on pure ASCII haystacks by pretending that Unicode word boundaries are just plain ASCII word boundaries. However, if a haystack is not ASCII, the meta regex engine will automatically switch to a (possibly slower) regex engine that supports Unicode word boundaries in general.
In some cases where a regex pattern is just a simple literal or a small set of literals, an actual regex engine won't be used at all. Instead, substring or multi-substring search algorithms will be employed.

There are many other forms of composition happening too, but the above should give a general idea. In particular, it may perhaps be surprising that multiple regex engines might get executed for a single search. That is, the decision of what regex engine to use is not just based on the pattern, but also based on the dynamic execution of the search itself.

The primary reason for this composition is performance. The fundamental tension is that the faster engines tend to be less capable, and the more capable engines tend to be slower.

Note that the forms of composition that are allowed are determined by compile time crate features and configuration. For example, if the hybrid feature isn't enabled, or if Config::hybrid has been disabled, then the meta regex engine will never use a lazy DFA.

Synchronization and cloning

Most of the regex engines in this crate require some kind of mutable "scratch" space to read and write from while performing a search. Since a meta regex composes these regex engines, a meta regex also requires mutable scratch space. This scratch space is called a Cache.

Most regex engines also usually have a read-only component, typically a Thompson NFA.

In order to make the Regex API convenient, most of the routines hide the fact that a Cache is needed at all. To achieve this, a memory pool is used internally to retrieve Cache values in a thread safe way that also permits reuse. This in turn implies that every such search call requires some form of synchronization. Usually this synchronization is fast enough to not notice, but in some cases, it can be a bottleneck. This typically occurs when all of the following are true:

The same Regex is shared across multiple threads simultaneously, usually via a util::lazy::Lazy or something similar from the once_cell or lazy_static crates.
The primary unit of work in each thread is a regex search.
Searches are run on very short haystacks.

This particular case can lead to high contention on the pool used by a Regex internally, which can in turn increase latency to a noticeable effect. This cost can be mitigated in one of the following ways:

Use a distinct copy of a Regex in each thread, usually by cloning it. Cloning a Regex does not do a deep copy of its read-only component. But it does lead to each Regex having its own memory pool, which in turn eliminates the problem of contention. In general, this technique should not result in any additional memory usage when compared to sharing the same Regex across multiple threads simultaneously.
Use lower level APIs, like Regex::search_with, which permit passing a Cache explicitly. In this case, it is up to you to determine how best to provide a Cache. For example, you might put a Cache in thread-local storage if your use case allows for it.

Overall, this is an issue that happens rarely in practice, but it can happen.

Warning: spin-locks may be used in alloc-only mode

When this crate is built without the std feature and the high level APIs on a Regex are used, then a spin-lock will be used to synchronize access to an internal pool of Cache values. This may be undesirable because a spin-lock is effectively impossible to implement correctly in user space. That is, more concretely, the spin-lock could result in a deadlock.

If one wants to avoid the use of spin-locks when the std feature is disabled, then you must use APIs that accept a Cache value explicitly. For example, Regex::search_with.

Example

use regex_automata::meta::Regex;

let re = Regex::new(r"^[0-9]{4}-[0-9]{2}-[0-9]{2}$")?;
assert!(re.is_match("2010-03-14"));

# Ok::<(), Box<dyn std::error::Error>>(())

Example: anchored search

This example shows how to use Input::anchored to run an anchored search, even when the regex pattern itself isn't anchored. An anchored search guarantees that if a match is found, then the start offset of the match corresponds to the offset at which the search was started.

use regex_automata::{meta::Regex, Anchored, Input, Match};

let re = Regex::new(r"\bfoo\b")?;
let input = Input::new("xx foo xx").range(3..).anchored(Anchored::Yes);
// The offsets are in terms of the original haystack.
assert_eq!(Some(Match::must(0, 3..6)), re.find(input));

// Notice that no match occurs here, because \b still takes the
// surrounding context into account, even if it means looking back
// before the start of your search.
let hay = "xxfoo xx";
let input = Input::new(hay).range(2..).anchored(Anchored::Yes);
assert_eq!(None, re.find(input));
// Indeed, you cannot achieve the above by simply slicing the
// haystack itself, since the regex engine can't see the
// surrounding context. This is why 'Input' permits setting
// the bounds of a search!
let input = Input::new(&hay[2..]).anchored(Anchored::Yes);
// WRONG!
assert_eq!(Some(Match::must(0, 0..3)), re.find(input));

# Ok::<(), Box<dyn std::error::Error>>(())

Example: earliest search

This example shows how to use Input::earliest to run a search that might stop before finding the typical leftmost match.

use regex_automata::{meta::Regex, Anchored, Input, Match};

let re = Regex::new(r"[a-z]{3}|b")?;
let input = Input::new("abc").earliest(true);
assert_eq!(Some(Match::must(0, 1..2)), re.find(input));

// Note that "earliest" isn't really a match semantic unto itself.
// Instead, it is merely an instruction to whatever regex engine
// gets used internally to quit as soon as it can. For example,
// this regex uses a different search technique, and winds up
// producing a different (but valid) match!
let re = Regex::new(r"abc|b")?;
let input = Input::new("abc").earliest(true);
assert_eq!(Some(Match::must(0, 0..3)), re.find(input));

# Ok::<(), Box<dyn std::error::Error>>(())

Example: change the line terminator

This example shows how to enable multi-line mode by default and change the line terminator to the NUL byte:

use regex_automata::{meta::Regex, util::syntax, Match};

let re = Regex::builder()
    .syntax(syntax::Config::new().multi_line(true))
    .configure(Regex::config().line_terminator(b'\x00'))
    .build(r"^foo$")?;
let hay = "\x00foo\x00";
assert_eq!(Some(Match::must(0, 1..4)), re.find(hay));

# Ok::<(), Box<dyn std::error::Error>>(())

Implementations

`impl Regex`

fn new(pattern: &str) -> Result<Regex, BuildError>

Builds a Regex from a single pattern string using the default configuration.

If there was a problem parsing the pattern or a problem turning it into a regex matcher, then an error is returned.

If you want to change the configuration of a Regex, use a Builder with a Config.

Example

use regex_automata::{meta::Regex, Match};

let re = Regex::new(r"(?Rm)^foo$")?;
let hay = "\r\nfoo\r\n";
assert_eq!(Some(Match::must(0, 2..5)), re.find(hay));

# Ok::<(), Box<dyn std::error::Error>>(())

fn new_many<P: AsRef<str>>(patterns: &[P]) -> Result<Regex, BuildError>

Builds a Regex from many pattern strings using the default configuration.

If there was a problem parsing any of the patterns or a problem turning them into a regex matcher, then an error is returned.

If you want to change the configuration of a Regex, use a Builder with a Config.

Example: simple lexer

This simplistic example leverages the multi-pattern support to build a simple little lexer. The pattern ID in the match tells you which regex matched, which in turn might be used to map back to the "type" of the token returned by the lexer.

use regex_automata::{meta::Regex, Match};

let re = Regex::new_many(&[
    r"[[:space:]]",
    r"[A-Za-z0-9][A-Za-z0-9_]+",
    r"->",
    r".",
])?;
let haystack = "fn is_boss(bruce: i32, springsteen: String) -> bool;";
let matches: Vec<Match> = re.find_iter(haystack).collect();
assert_eq!(matches, vec![
    Match::must(1, 0..2),   // 'fn'
    Match::must(0, 2..3),   // ' '
    Match::must(1, 3..10),  // 'is_boss'
    Match::must(3, 10..11), // '('
    Match::must(1, 11..16), // 'bruce'
    Match::must(3, 16..17), // ':'
    Match::must(0, 17..18), // ' '
    Match::must(1, 18..21), // 'i32'
    Match::must(3, 21..22), // ','
    Match::must(0, 22..23), // ' '
    Match::must(1, 23..34), // 'springsteen'
    Match::must(3, 34..35), // ':'
    Match::must(0, 35..36), // ' '
    Match::must(1, 36..42), // 'String'
    Match::must(3, 42..43), // ')'
    Match::must(0, 43..44), // ' '
    Match::must(2, 44..46), // '->'
    Match::must(0, 46..47), // ' '
    Match::must(1, 47..51), // 'bool'
    Match::must(3, 51..52), // ';'
]);

# Ok::<(), Box<dyn std::error::Error>>(())

One can write a lexer like the above using a regex like (?P<space>[[:space:]])|(?P<ident>[A-Za-z0-9][A-Za-z0-9_]+)|..., but then you need to ask whether capture group matched to determine which branch in the regex matched, and thus, which token the match corresponds to. In contrast, the above example includes the pattern ID in the match. There's no need to use capture groups at all.

Example: finding the pattern that caused an error

When a syntax error occurs, it is possible to ask which pattern caused the syntax error.

use regex_automata::{meta::Regex, PatternID};

let err = Regex::new_many(&["a", "b", r"\p{Foo}", "c"]).unwrap_err();
assert_eq!(Some(PatternID::must(2)), err.pattern());

Example: zero patterns is valid

Building a regex with zero patterns results in a regex that never matches anything. Because this routine is generic, passing an empty slice usually requires a turbo-fish (or something else to help type inference).

use regex_automata::{meta::Regex, util::syntax, Match};

let re = Regex::new_many::<&str>(&[])?;
assert_eq!(None, re.find(""));

# Ok::<(), Box<dyn std::error::Error>>(())

fn config() -> Config

Return a default configuration for a Regex.

This is a convenience routine to avoid needing to import the Config type when customizing the construction of a Regex.

Example: lower the NFA size limit

In some cases, the default size limit might be too big. The size limit can be lowered, which will prevent large regex patterns from compiling.

# if cfg!(miri) { return Ok(()); } // miri takes too long
use regex_automata::meta::Regex;

let result = Regex::builder()
    .configure(Regex::config().nfa_size_limit(Some(20 * (1<<10))))
    // Not even 20KB is enough to build a single large Unicode class!
    .build(r"\pL");
assert!(result.is_err());

# Ok::<(), Box<dyn std::error::Error>>(())

fn builder() -> Builder

Return a builder for configuring the construction of a Regex.

This is a convenience routine to avoid needing to import the Builder type in common cases.

Example: change the line terminator

This example shows how to enable multi-line mode by default and change the line terminator to the NUL byte:

use regex_automata::{meta::Regex, util::syntax, Match};

let re = Regex::builder()
    .syntax(syntax::Config::new().multi_line(true))
    .configure(Regex::config().line_terminator(b'\x00'))
    .build(r"^foo$")?;
let hay = "\x00foo\x00";
assert_eq!(Some(Match::must(0, 1..4)), re.find(hay));

# Ok::<(), Box<dyn std::error::Error>>(())

`impl Regex`

fn is_match<'h, I: Into<Input<'h>>>(self: &Self, input: I) -> bool

Returns true if and only if this regex matches the given haystack.

This routine may short circuit if it knows that scanning future input will never lead to a different result. (Consider how this might make a difference given the regex a+ on the haystack aaaaaaaaaaaaaaa. This routine may stop after it sees the first a, but routines like find need to continue searching because + is greedy by default.)

Example

use regex_automata::meta::Regex;

let re = Regex::new("foo[0-9]+bar")?;

assert!(re.is_match("foo12345bar"));
assert!(!re.is_match("foobar"));

# Ok::<(), Box<dyn std::error::Error>>(())

Example: consistency with search APIs

is_match is guaranteed to return true whenever find returns a match. This includes searches that are executed entirely within a codepoint:

use regex_automata::{meta::Regex, Input};

let re = Regex::new("a*")?;

// This doesn't match because the default configuration bans empty
// matches from splitting a codepoint.
assert!(!re.is_match(Input::new("☃").span(1..2)));
assert_eq!(None, re.find(Input::new("☃").span(1..2)));

# Ok::<(), Box<dyn std::error::Error>>(())

Notice that when UTF-8 mode is disabled, then the above reports a match because the restriction against zero-width matches that split a codepoint has been lifted:

use regex_automata::{meta::Regex, Input, Match};

let re = Regex::builder()
    .configure(Regex::config().utf8_empty(false))
    .build("a*")?;

assert!(re.is_match(Input::new("☃").span(1..2)));
assert_eq!(
    Some(Match::must(0, 1..1)),
    re.find(Input::new("☃").span(1..2)),
);

# Ok::<(), Box<dyn std::error::Error>>(())

A similar idea applies when using line anchors with CRLF mode enabled, which prevents them from matching between a \r and a \n.

use regex_automata::{meta::Regex, Input, Match};

let re = Regex::new(r"(?Rm:$)")?;
assert!(!re.is_match(Input::new("\r\n").span(1..1)));
// A regular line anchor, which only considers \n as a
// line terminator, will match.
let re = Regex::new(r"(?m:$)")?;
assert!(re.is_match(Input::new("\r\n").span(1..1)));

# Ok::<(), Box<dyn std::error::Error>>(())

fn find<'h, I: Into<Input<'h>>>(self: &Self, input: I) -> Option<Match>

Executes a leftmost search and returns the first match that is found, if one exists.

Example

use regex_automata::{meta::Regex, Match};

let re = Regex::new("foo[0-9]+")?;
assert_eq!(Some(Match::must(0, 0..8)), re.find("foo12345"));

# Ok::<(), Box<dyn std::error::Error>>(())

fn captures<'h, I: Into<Input<'h>>>(self: &Self, input: I, caps: &mut Captures)

Executes a leftmost forward search and writes the spans of capturing groups that participated in a match into the provided Captures value. If no match was found, then Captures::is_match is guaranteed to return false.

Example

use regex_automata::{meta::Regex, Span};

let re = Regex::new(r"^([0-9]{4})-([0-9]{2})-([0-9]{2})$")?;
let mut caps = re.create_captures();

re.captures("2010-03-14", &mut caps);
assert!(caps.is_match());
assert_eq!(Some(Span::from(0..4)), caps.get_group(1));
assert_eq!(Some(Span::from(5..7)), caps.get_group(2));
assert_eq!(Some(Span::from(8..10)), caps.get_group(3));

# Ok::<(), Box<dyn std::error::Error>>(())

fn find_iter<'r, 'h, I: Into<Input<'h>>>(self: &'r Self, input: I) -> FindMatches<'r, 'h>

Returns an iterator over all non-overlapping leftmost matches in the given haystack. If no match exists, then the iterator yields no elements.

Example

use regex_automata::{meta::Regex, Match};

let re = Regex::new("foo[0-9]+")?;
let haystack = "foo1 foo12 foo123";
let matches: Vec<Match> = re.find_iter(haystack).collect();
assert_eq!(matches, vec![
    Match::must(0, 0..4),
    Match::must(0, 5..10),
    Match::must(0, 11..17),
]);
# Ok::<(), Box<dyn std::error::Error>>(())

fn captures_iter<'r, 'h, I: Into<Input<'h>>>(self: &'r Self, input: I) -> CapturesMatches<'r, 'h>

Returns an iterator over all non-overlapping Captures values. If no match exists, then the iterator yields no elements.

This yields the same matches as Regex::find_iter, but it includes the spans of all capturing groups that participate in each match.

Tip: See util::iter::Searcher for how to correctly iterate over all matches in a haystack while avoiding the creation of a new Captures value for every match. (Which you are forced to do with an Iterator.)

Example

use regex_automata::{meta::Regex, Span};

let re = Regex::new("foo(?P<numbers>[0-9]+)")?;

let haystack = "foo1 foo12 foo123";
let matches: Vec<Span> = re
    .captures_iter(haystack)
    // The unwrap is OK since 'numbers' matches if the pattern matches.
    .map(|caps| caps.get_group_by_name("numbers").unwrap())
    .collect();
assert_eq!(matches, vec![
    Span::from(3..4),
    Span::from(8..10),
    Span::from(14..17),
]);
# Ok::<(), Box<dyn std::error::Error>>(())

fn split<'r, 'h, I: Into<Input<'h>>>(self: &'r Self, input: I) -> Split<'r, 'h>

Returns an iterator of spans of the haystack given, delimited by a match of the regex. Namely, each element of the iterator corresponds to a part of the haystack that isn't matched by the regular expression.

Example

To split a string delimited by arbitrary amounts of spaces or tabs:

use regex_automata::meta::Regex;

let re = Regex::new(r"[ \t]+")?;
let hay = "a b \t  c\td    e";
let fields: Vec<&str> = re.split(hay).map(|span| &hay[span]).collect();
assert_eq!(fields, vec!["a", "b", "c", "d", "e"]);

# Ok::<(), Box<dyn std::error::Error>>(())

Example: more cases

Basic usage:

use regex_automata::meta::Regex;

let re = Regex::new(r" ")?;
let hay = "Mary had a little lamb";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["Mary", "had", "a", "little", "lamb"]);

let re = Regex::new(r"X")?;
let hay = "";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec![""]);

let re = Regex::new(r"X")?;
let hay = "lionXXtigerXleopard";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["lion", "", "tiger", "leopard"]);

let re = Regex::new(r"::")?;
let hay = "lion::tiger::leopard";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["lion", "tiger", "leopard"]);

# Ok::<(), Box<dyn std::error::Error>>(())

If a haystack contains multiple contiguous matches, you will end up with empty spans yielded by the iterator:

use regex_automata::meta::Regex;

let re = Regex::new(r"X")?;
let hay = "XXXXaXXbXc";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["", "", "", "", "a", "", "b", "c"]);

let re = Regex::new(r"/")?;
let hay = "(///)";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["(", "", "", ")"]);

# Ok::<(), Box<dyn std::error::Error>>(())

Separators at the start or end of a haystack are neighbored by empty spans.

use regex_automata::meta::Regex;

let re = Regex::new(r"0")?;
let hay = "010";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["", "1", ""]);

# Ok::<(), Box<dyn std::error::Error>>(())

When the empty string is used as a regex, it splits at every valid UTF-8 boundary by default (which includes the beginning and end of the haystack):

use regex_automata::meta::Regex;

let re = Regex::new(r"")?;
let hay = "rust";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["", "r", "u", "s", "t", ""]);

// Splitting by an empty string is UTF-8 aware by default!
let re = Regex::new(r"")?;
let hay = "☃";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["", "☃", ""]);

# Ok::<(), Box<dyn std::error::Error>>(())

But note that UTF-8 mode for empty strings can be disabled, which will then result in a match at every byte offset in the haystack, including between every UTF-8 code unit.

use regex_automata::meta::Regex;

let re = Regex::builder()
    .configure(Regex::config().utf8_empty(false))
    .build(r"")?;
let hay = "☃".as_bytes();
let got: Vec<&[u8]> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec![
    // Writing byte string slices is just brutal. The problem is that
    // b"foo" has type &[u8; 3] instead of &[u8].
    &[][..], &[b'\xE2'][..], &[b'\x98'][..], &[b'\x83'][..], &[][..],
]);

# Ok::<(), Box<dyn std::error::Error>>(())

Contiguous separators (commonly shows up with whitespace), can lead to possibly surprising behavior. For example, this code is correct:

use regex_automata::meta::Regex;

let re = Regex::new(r" ")?;
let hay = "    a  b c";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["", "", "", "", "a", "", "b", "c"]);

# Ok::<(), Box<dyn std::error::Error>>(())

It does not give you ["a", "b", "c"]. For that behavior, you'd want to match contiguous space characters:

use regex_automata::meta::Regex;

let re = Regex::new(r" +")?;
let hay = "    a  b c";
let got: Vec<&str> = re.split(hay).map(|sp| &hay[sp]).collect();
// N.B. This does still include a leading empty span because ' +'
// matches at the beginning of the haystack.
assert_eq!(got, vec!["", "a", "b", "c"]);

# Ok::<(), Box<dyn std::error::Error>>(())

fn splitn<'r, 'h, I: Into<Input<'h>>>(self: &'r Self, input: I, limit: usize) -> SplitN<'r, 'h>

Returns an iterator of at most limit spans of the haystack given, delimited by a match of the regex. (A limit of 0 will return no spans.) Namely, each element of the iterator corresponds to a part of the haystack that isn't matched by the regular expression. The remainder of the haystack that is not split will be the last element in the iterator.

Example

Get the first two words in some haystack:

# if cfg!(miri) { return Ok(()); } // miri takes too long
use regex_automata::meta::Regex;

let re = Regex::new(r"\W+").unwrap();
let hay = "Hey! How are you?";
let fields: Vec<&str> =
    re.splitn(hay, 3).map(|span| &hay[span]).collect();
assert_eq!(fields, vec!["Hey", "How", "are you?"]);

# Ok::<(), Box<dyn std::error::Error>>(())

Examples: more cases

use regex_automata::meta::Regex;

let re = Regex::new(r" ")?;
let hay = "Mary had a little lamb";
let got: Vec<&str> = re.splitn(hay, 3).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["Mary", "had", "a little lamb"]);

let re = Regex::new(r"X")?;
let hay = "";
let got: Vec<&str> = re.splitn(hay, 3).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec![""]);

let re = Regex::new(r"X")?;
let hay = "lionXXtigerXleopard";
let got: Vec<&str> = re.splitn(hay, 3).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["lion", "", "tigerXleopard"]);

let re = Regex::new(r"::")?;
let hay = "lion::tiger::leopard";
let got: Vec<&str> = re.splitn(hay, 2).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["lion", "tiger::leopard"]);

let re = Regex::new(r"X")?;
let hay = "abcXdef";
let got: Vec<&str> = re.splitn(hay, 1).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["abcXdef"]);

let re = Regex::new(r"X")?;
let hay = "abcdef";
let got: Vec<&str> = re.splitn(hay, 2).map(|sp| &hay[sp]).collect();
assert_eq!(got, vec!["abcdef"]);

let re = Regex::new(r"X")?;
let hay = "abcXdef";
let got: Vec<&str> = re.splitn(hay, 0).map(|sp| &hay[sp]).collect();
assert!(got.is_empty());

# Ok::<(), Box<dyn std::error::Error>>(())

`impl Regex`

fn create_captures(self: &Self) -> Captures

Creates a new object for recording capture group offsets. This is used in search APIs like Regex::captures and Regex::search_captures.

This is a convenience routine for Captures::all(re.group_info().clone()). Callers may build other types of Captures values that record less information (and thus require less work from the regex engine) using Captures::matches and Captures::empty.

Example

This shows some alternatives to [Regex::create_captures]:

use regex_automata::{
    meta::Regex,
    util::captures::Captures,
    Match, PatternID, Span,
};

let re = Regex::new(r"(?<first>[A-Z][a-z]+) (?<last>[A-Z][a-z]+)")?;

// This is equivalent to Regex::create_captures. It stores matching
// offsets for all groups in the regex.
let mut all = Captures::all(re.group_info().clone());
re.captures("Bruce Springsteen", &mut all);
assert_eq!(Some(Match::must(0, 0..17)), all.get_match());
assert_eq!(Some(Span::from(0..5)), all.get_group_by_name("first"));
assert_eq!(Some(Span::from(6..17)), all.get_group_by_name("last"));

// In this version, we only care about the implicit groups, which
// means offsets for the explicit groups will be unavailable. It can
// sometimes be faster to ask for fewer groups, since the underlying
// regex engine needs to do less work to keep track of them.
let mut matches = Captures::matches(re.group_info().clone());
re.captures("Bruce Springsteen", &mut matches);
// We still get the overall match info.
assert_eq!(Some(Match::must(0, 0..17)), matches.get_match());
// But now the explicit groups are unavailable.
assert_eq!(None, matches.get_group_by_name("first"));
assert_eq!(None, matches.get_group_by_name("last"));

// Finally, in this version, we don't ask to keep track of offsets for
// *any* groups. All we get back is whether a match occurred, and if
// so, the ID of the pattern that matched.
let mut empty = Captures::empty(re.group_info().clone());
re.captures("Bruce Springsteen", &mut empty);
// it's a match!
assert!(empty.is_match());
// for pattern ID 0
assert_eq!(Some(PatternID::ZERO), empty.pattern());
// Match offsets are unavailable.
assert_eq!(None, empty.get_match());
// And of course, explicit groups are unavailable too.
assert_eq!(None, empty.get_group_by_name("first"));
assert_eq!(None, empty.get_group_by_name("last"));

# Ok::<(), Box<dyn std::error::Error>>(())

fn create_cache(self: &Self) -> Cache

Creates a new cache for use with lower level search APIs like Regex::search_with.

The cache returned should only be used for searches for this Regex. If you want to reuse the cache for another Regex, then you must call Cache::reset with that Regex.

This is a convenience routine for Cache::new.

Example

use regex_automata::{meta::Regex, Input, Match};

let re = Regex::new(r"(?-u)m\w+\s+m\w+")?;
let mut cache = re.create_cache();
let input = Input::new("crazy janey and her mission man");
assert_eq!(
    Some(Match::must(0, 20..31)),
    re.search_with(&mut cache, &input),
);

# Ok::<(), Box<dyn std::error::Error>>(())

fn pattern_len(self: &Self) -> usize

Returns the total number of patterns in this regex.

The standard Regex::new constructor always results in a Regex with a single pattern, but Regex::new_many permits building a multi-pattern regex.

A Regex guarantees that the maximum possible PatternID returned in any match is Regex::pattern_len() - 1. In the case where the number of patterns is 0, a match is impossible.

Example

use regex_automata::meta::Regex;

let re = Regex::new(r"(?m)^[a-z]$")?;
assert_eq!(1, re.pattern_len());

let re = Regex::new_many::<&str>(&[])?;
assert_eq!(0, re.pattern_len());

let re = Regex::new_many(&["a", "b", "c"])?;
assert_eq!(3, re.pattern_len());

# Ok::<(), Box<dyn std::error::Error>>(())

fn captures_len(self: &Self) -> usize

Returns the total number of capturing groups.

This includes the implicit capturing group corresponding to the entire match. Therefore, the minimum value returned is 1.

Example

This shows a few patterns and how many capture groups they have.

use regex_automata::meta::Regex;

let len = |pattern| {
    Regex::new(pattern).map(|re| re.captures_len())
};

assert_eq!(1, len("a")?);
assert_eq!(2, len("(a)")?);
assert_eq!(3, len("(a)|(b)")?);
assert_eq!(5, len("(a)(b)|(c)(d)")?);
assert_eq!(2, len("(a)|b")?);
assert_eq!(2, len("a|(b)")?);
assert_eq!(2, len("(b)*")?);
assert_eq!(2, len("(b)+")?);

# Ok::<(), Box<dyn std::error::Error>>(())

Example: multiple patterns

This routine also works for multiple patterns. The total number is the sum of the capture groups of each pattern.

use regex_automata::meta::Regex;

let len = |patterns| {
    Regex::new_many(patterns).map(|re| re.captures_len())
};

assert_eq!(2, len(&["a", "b"])?);
assert_eq!(4, len(&["(a)", "(b)"])?);
assert_eq!(6, len(&["(a)|(b)", "(c)|(d)"])?);
assert_eq!(8, len(&["(a)(b)|(c)(d)", "(x)(y)"])?);
assert_eq!(3, len(&["(a)", "b"])?);
assert_eq!(3, len(&["a", "(b)"])?);
assert_eq!(4, len(&["(a)", "(b)*"])?);
assert_eq!(4, len(&["(a)+", "(b)+"])?);

# Ok::<(), Box<dyn std::error::Error>>(())

fn static_captures_len(self: &Self) -> Option<usize>

Returns the total number of capturing groups that appear in every possible match.

If the number of capture groups can vary depending on the match, then this returns None. That is, a value is only returned when the number of matching groups is invariant or "static."

Note that like Regex::captures_len, this does include the implicit capturing group corresponding to the entire match. Therefore, when a non-None value is returned, it is guaranteed to be at least 1. Stated differently, a return value of Some(0) is impossible.

Example

This shows a few cases where a static number of capture groups is available and a few cases where it is not.

use regex_automata::meta::Regex;

let len = |pattern| {
    Regex::new(pattern).map(|re| re.static_captures_len())
};

assert_eq!(Some(1), len("a")?);
assert_eq!(Some(2), len("(a)")?);
assert_eq!(Some(2), len("(a)|(b)")?);
assert_eq!(Some(3), len("(a)(b)|(c)(d)")?);
assert_eq!(None, len("(a)|b")?);
assert_eq!(None, len("a|(b)")?);
assert_eq!(None, len("(b)*")?);
assert_eq!(Some(2), len("(b)+")?);

# Ok::<(), Box<dyn std::error::Error>>(())

Example: multiple patterns

This property extends to regexes with multiple patterns as well. In order for their to be a static number of capture groups in this case, every pattern must have the same static number.

use regex_automata::meta::Regex;

let len = |patterns| {
    Regex::new_many(patterns).map(|re| re.static_captures_len())
};

assert_eq!(Some(1), len(&["a", "b"])?);
assert_eq!(Some(2), len(&["(a)", "(b)"])?);
assert_eq!(Some(2), len(&["(a)|(b)", "(c)|(d)"])?);
assert_eq!(Some(3), len(&["(a)(b)|(c)(d)", "(x)(y)"])?);
assert_eq!(None, len(&["(a)", "b"])?);
assert_eq!(None, len(&["a", "(b)"])?);
assert_eq!(None, len(&["(a)", "(b)*"])?);
assert_eq!(Some(2), len(&["(a)+", "(b)+"])?);

# Ok::<(), Box<dyn std::error::Error>>(())

fn group_info(self: &Self) -> &GroupInfo

Return information about the capture groups in this Regex.

A GroupInfo is an immutable object that can be cheaply cloned. It is responsible for maintaining a mapping between the capture groups in the concrete syntax of zero or more regex patterns and their internal representation used by some of the regex matchers. It is also responsible for maintaining a mapping between the name of each group (if one exists) and its corresponding group index.

A GroupInfo is ultimately what is used to build a Captures value, which is some mutable space where group offsets are stored as a result of a search.

Example

This shows some alternatives to [Regex::create_captures]:

use regex_automata::{
    meta::Regex,
    util::captures::Captures,
    Match, PatternID, Span,
};

let re = Regex::new(r"(?<first>[A-Z][a-z]+) (?<last>[A-Z][a-z]+)")?;

// This is equivalent to Regex::create_captures. It stores matching
// offsets for all groups in the regex.
let mut all = Captures::all(re.group_info().clone());
re.captures("Bruce Springsteen", &mut all);
assert_eq!(Some(Match::must(0, 0..17)), all.get_match());
assert_eq!(Some(Span::from(0..5)), all.get_group_by_name("first"));
assert_eq!(Some(Span::from(6..17)), all.get_group_by_name("last"));

// In this version, we only care about the implicit groups, which
// means offsets for the explicit groups will be unavailable. It can
// sometimes be faster to ask for fewer groups, since the underlying
// regex engine needs to do less work to keep track of them.
let mut matches = Captures::matches(re.group_info().clone());
re.captures("Bruce Springsteen", &mut matches);
// We still get the overall match info.
assert_eq!(Some(Match::must(0, 0..17)), matches.get_match());
// But now the explicit groups are unavailable.
assert_eq!(None, matches.get_group_by_name("first"));
assert_eq!(None, matches.get_group_by_name("last"));

// Finally, in this version, we don't ask to keep track of offsets for
// *any* groups. All we get back is whether a match occurred, and if
// so, the ID of the pattern that matched.
let mut empty = Captures::empty(re.group_info().clone());
re.captures("Bruce Springsteen", &mut empty);
// it's a match!
assert!(empty.is_match());
// for pattern ID 0
assert_eq!(Some(PatternID::ZERO), empty.pattern());
// Match offsets are unavailable.
assert_eq!(None, empty.get_match());
// And of course, explicit groups are unavailable too.
assert_eq!(None, empty.get_group_by_name("first"));
assert_eq!(None, empty.get_group_by_name("last"));

# Ok::<(), Box<dyn std::error::Error>>(())

fn get_config(self: &Self) -> &Config

Returns the configuration object used to build this Regex.

If no configuration object was explicitly passed, then the configuration returned represents the default.

fn is_accelerated(self: &Self) -> bool

Returns true if this regex has a high chance of being "accelerated."

The precise meaning of "accelerated" is specifically left unspecified, but the general meaning is that the search is a high likelihood of running faster than a character-at-a-time loop inside a standard regex engine.

When a regex is accelerated, it is only a probabilistic claim. That is, just because the regex is believed to be accelerated, that doesn't mean it will definitely execute searches very fast. Similarly, if a regex is not accelerated, that is also a probabilistic claim. That is, a regex for which is_accelerated returns false could still run searches more quickly than a regex for which is_accelerated returns true.

Whether a regex is marked as accelerated or not is dependent on implementations details that may change in a semver compatible release. That is, a regex that is accelerated in a x.y.1 release might not be accelerated in a x.y.2 release.

Basically, the value of acceleration boils down to a hedge: a hodge podge of internal heuristics combine to make a probabilistic guess that this regex search may run "fast." The value in knowing this from a caller's perspective is that it may act as a signal that no further work should be done to accelerate a search. For example, a grep-like tool might try to do some extra work extracting literals from a regex to create its own heuristic acceleration strategies. But it might choose to defer to this crate's acceleration strategy if one exists. This routine permits querying whether such a strategy is active for a particular regex.

Example

use regex_automata::meta::Regex;

// A simple literal is very likely to be accelerated.
let re = Regex::new(r"foo")?;
assert!(re.is_accelerated());

// A regex with no literals is likely to not be accelerated.
let re = Regex::new(r"\w")?;
assert!(!re.is_accelerated());

# Ok::<(), Box<dyn std::error::Error>>(())

fn memory_usage(self: &Self) -> usize

Return the total approximate heap memory, in bytes, used by this Regex.

Note that currently, there is no high level configuration for setting a limit on the specific value returned by this routine. Instead, the following routines can be used to control heap memory at a bit of a lower level:

Config::nfa_size_limit controls how big any of the NFAs are allowed to be.
Config::onepass_size_limit controls how big the one-pass DFA is allowed to be.
Config::hybrid_cache_capacity controls how much memory the lazy DFA is permitted to allocate to store its transition table.
Config::dfa_size_limit controls how big a fully compiled DFA is allowed to be.
Config::dfa_state_limit controls the conditions under which the meta regex engine will even attempt to build a fully compiled DFA.

`impl Regex`

fn search_with(self: &Self, cache: &mut Cache, input: &Input<'_>) -> Option<Match>

This is like Regex::search, but requires the caller to explicitly pass a Cache.

Why pass a `Cache` explicitly?

Passing a Cache explicitly will bypass the use of an internal memory pool used by Regex to get a Cache for a search. The use of this pool can be slower in some cases when a Regex is used from multiple threads simultaneously. Typically, performance only becomes an issue when there is heavy contention, which in turn usually only occurs when each thread's primary unit of work is a regex search on a small haystack.

Example

use regex_automata::{meta::Regex, Input, Match};

let re = Regex::new(r"Samwise|Sam")?;
let mut cache = re.create_cache();
let input = Input::new(
    "one of the chief characters, Samwise the Brave",
);
assert_eq!(
    Some(Match::must(0, 29..36)),
    re.search_with(&mut cache, &input),
);

# Ok::<(), Box<dyn std::error::Error>>(())

fn search_half_with(self: &Self, cache: &mut Cache, input: &Input<'_>) -> Option<HalfMatch>

This is like Regex::search_half, but requires the caller to explicitly pass a Cache.

Why pass a `Cache` explicitly?

Example

use regex_automata::{meta::Regex, Input, HalfMatch};

let re = Regex::new(r"Samwise|Sam")?;
let mut cache = re.create_cache();
let input = Input::new(
    "one of the chief characters, Samwise the Brave",
);
assert_eq!(
    Some(HalfMatch::must(0, 36)),
    re.search_half_with(&mut cache, &input),
);

# Ok::<(), Box<dyn std::error::Error>>(())

fn search_captures_with(self: &Self, cache: &mut Cache, input: &Input<'_>, caps: &mut Captures)

This is like Regex::search_captures, but requires the caller to explicitly pass a Cache.

Why pass a `Cache` explicitly?

Example: specific pattern search

This example shows how to build a multi-pattern Regex that permits searching for specific patterns.

use regex_automata::{
    meta::Regex,
    Anchored, Match, PatternID, Input,
};

let re = Regex::new_many(&["[a-z0-9]{6}", "[a-z][a-z0-9]{5}"])?;
let (mut cache, mut caps) = (re.create_cache(), re.create_captures());
let haystack = "foo123";

// Since we are using the default leftmost-first match and both
// patterns match at the same starting position, only the first pattern
// will be returned in this case when doing a search for any of the
// patterns.
let expected = Some(Match::must(0, 0..6));
re.search_captures_with(&mut cache, &Input::new(haystack), &mut caps);
assert_eq!(expected, caps.get_match());

// But if we want to check whether some other pattern matches, then we
// can provide its pattern ID.
let expected = Some(Match::must(1, 0..6));
let input = Input::new(haystack)
    .anchored(Anchored::Pattern(PatternID::must(1)));
re.search_captures_with(&mut cache, &input, &mut caps);
assert_eq!(expected, caps.get_match());

# Ok::<(), Box<dyn std::error::Error>>(())

Example: specifying the bounds of a search

This example shows how providing the bounds of a search can produce different results than simply sub-slicing the haystack.

# if cfg!(miri) { return Ok(()); } // miri takes too long
use regex_automata::{meta::Regex, Match, Input};

let re = Regex::new(r"\b[0-9]{3}\b")?;
let (mut cache, mut caps) = (re.create_cache(), re.create_captures());
let haystack = "foo123bar";

// Since we sub-slice the haystack, the search doesn't know about
// the larger context and assumes that `123` is surrounded by word
// boundaries. And of course, the match position is reported relative
// to the sub-slice as well, which means we get `0..3` instead of
// `3..6`.
let expected = Some(Match::must(0, 0..3));
let input = Input::new(&haystack[3..6]);
re.search_captures_with(&mut cache, &input, &mut caps);
assert_eq!(expected, caps.get_match());

// But if we provide the bounds of the search within the context of the
// entire haystack, then the search can take the surrounding context
// into account. (And if we did find a match, it would be reported
// as a valid offset into `haystack` instead of its sub-slice.)
let expected = None;
let input = Input::new(haystack).range(3..6);
re.search_captures_with(&mut cache, &input, &mut caps);
assert_eq!(expected, caps.get_match());

# Ok::<(), Box<dyn std::error::Error>>(())

fn search_slots_with(self: &Self, cache: &mut Cache, input: &Input<'_>, slots: &mut [Option<NonMaxUsize>]) -> Option<PatternID>

This is like Regex::search_slots, but requires the caller to explicitly pass a Cache.

Why pass a `Cache` explicitly?

Example

This example shows how to find the overall match offsets in a multi-pattern search without allocating a Captures value. Indeed, we can put our slots right on the stack.

# if cfg!(miri) { return Ok(()); } // miri takes too long
use regex_automata::{meta::Regex, PatternID, Input};

let re = Regex::new_many(&[
    r"\pL+",
    r"\d+",
])?;
let mut cache = re.create_cache();
let input = Input::new("!@#123");

// We only care about the overall match offsets here, so we just
// allocate two slots for each pattern. Each slot records the start
// and end of the match.
let mut slots = [None; 4];
let pid = re.search_slots_with(&mut cache, &input, &mut slots);
assert_eq!(Some(PatternID::must(1)), pid);

// The overall match offsets are always at 'pid * 2' and 'pid * 2 + 1'.
// See 'GroupInfo' for more details on the mapping between groups and
// slot indices.
let slot_start = pid.unwrap().as_usize() * 2;
let slot_end = slot_start + 1;
assert_eq!(Some(3), slots[slot_start].map(|s| s.get()));
assert_eq!(Some(6), slots[slot_end].map(|s| s.get()));

# Ok::<(), Box<dyn std::error::Error>>(())

fn which_overlapping_matches_with(self: &Self, cache: &mut Cache, input: &Input<'_>, patset: &mut PatternSet)

This is like Regex::which_overlapping_matches, but requires the caller to explicitly pass a Cache.

Why pass a `Cache` explicitly?

Example

# if cfg!(miri) { return Ok(()); } // miri takes too long
use regex_automata::{meta::Regex, Input, MatchKind, PatternSet};

let patterns = &[
    r"\w+", r"\d+", r"\pL+", r"foo", r"bar", r"barfoo", r"foobar",
];
let re = Regex::builder()
    .configure(Regex::config().match_kind(MatchKind::All))
    .build_many(patterns)?;
let mut cache = re.create_cache();

let input = Input::new("foobar");
let mut patset = PatternSet::new(re.pattern_len());
re.which_overlapping_matches_with(&mut cache, &input, &mut patset);
let expected = vec![0, 2, 3, 4, 6];
let got: Vec<usize> = patset.iter().map(|p| p.as_usize()).collect();
assert_eq!(expected, got);

# Ok::<(), Box<dyn std::error::Error>>(())

`impl Regex`

fn search(self: &Self, input: &Input<'_>) -> Option<Match>

Returns the start and end offset of the leftmost match. If no match exists, then None is returned.

This is like Regex::find but, but it accepts a concrete &Input instead of an Into<Input>.

Example

use regex_automata::{meta::Regex, Input, Match};

let re = Regex::new(r"Samwise|Sam")?;
let input = Input::new(
    "one of the chief characters, Samwise the Brave",
);
assert_eq!(Some(Match::must(0, 29..36)), re.search(&input));

# Ok::<(), Box<dyn std::error::Error>>(())

fn search_half(self: &Self, input: &Input<'_>) -> Option<HalfMatch>

Returns the end offset of the leftmost match. If no match exists, then None is returned.

This is distinct from Regex::search in that it only returns the end of a match and not the start of the match. Depending on a variety of implementation details, this may permit the regex engine to do less overall work. For example, if a DFA is being used to execute a search, then the start of a match usually requires running a separate DFA in reverse to the find the start of a match. If one only needs the end of a match, then the separate reverse scan to find the start of a match can be skipped. (Note that the reverse scan is avoided even when using Regex::search when possible, for example, in the case of an anchored search.)

Example

use regex_automata::{meta::Regex, Input, HalfMatch};

let re = Regex::new(r"Samwise|Sam")?;
let input = Input::new(
    "one of the chief characters, Samwise the Brave",
);
assert_eq!(Some(HalfMatch::must(0, 36)), re.search_half(&input));

# Ok::<(), Box<dyn std::error::Error>>(())

fn search_captures(self: &Self, input: &Input<'_>, caps: &mut Captures)

This is like Regex::captures, but it accepts a concrete &Input instead of an Into<Input>.

Example: specific pattern search

This example shows how to build a multi-pattern Regex that permits searching for specific patterns.

use regex_automata::{
    meta::Regex,
    Anchored, Match, PatternID, Input,
};

let re = Regex::new_many(&["[a-z0-9]{6}", "[a-z][a-z0-9]{5}"])?;
let mut caps = re.create_captures();
let haystack = "foo123";

// Since we are using the default leftmost-first match and both
// patterns match at the same starting position, only the first pattern
// will be returned in this case when doing a search for any of the
// patterns.
let expected = Some(Match::must(0, 0..6));
re.search_captures(&Input::new(haystack), &mut caps);
assert_eq!(expected, caps.get_match());

// But if we want to check whether some other pattern matches, then we
// can provide its pattern ID.
let expected = Some(Match::must(1, 0..6));
let input = Input::new(haystack)
    .anchored(Anchored::Pattern(PatternID::must(1)));
re.search_captures(&input, &mut caps);
assert_eq!(expected, caps.get_match());

# Ok::<(), Box<dyn std::error::Error>>(())

Example: specifying the bounds of a search

This example shows how providing the bounds of a search can produce different results than simply sub-slicing the haystack.

# if cfg!(miri) { return Ok(()); } // miri takes too long
use regex_automata::{meta::Regex, Match, Input};

let re = Regex::new(r"\b[0-9]{3}\b")?;
let mut caps = re.create_captures();
let haystack = "foo123bar";

// Since we sub-slice the haystack, the search doesn't know about
// the larger context and assumes that `123` is surrounded by word
// boundaries. And of course, the match position is reported relative
// to the sub-slice as well, which means we get `0..3` instead of
// `3..6`.
let expected = Some(Match::must(0, 0..3));
let input = Input::new(&haystack[3..6]);
re.search_captures(&input, &mut caps);
assert_eq!(expected, caps.get_match());

// But if we provide the bounds of the search within the context of the
// entire haystack, then the search can take the surrounding context
// into account. (And if we did find a match, it would be reported
// as a valid offset into `haystack` instead of its sub-slice.)
let expected = None;
let input = Input::new(haystack).range(3..6);
re.search_captures(&input, &mut caps);
assert_eq!(expected, caps.get_match());

# Ok::<(), Box<dyn std::error::Error>>(())

fn search_slots(self: &Self, input: &Input<'_>, slots: &mut [Option<NonMaxUsize>]) -> Option<PatternID>

Executes a leftmost forward search and writes the spans of capturing groups that participated in a match into the provided slots, and returns the matching pattern ID. The contents of the slots for patterns other than the matching pattern are unspecified. If no match was found, then None is returned and the contents of slots is unspecified.

This is like Regex::search, but it accepts a raw slots slice instead of a Captures value. This is useful in contexts where you don't want or need to allocate a Captures.

It is legal to pass any number of slots to this routine. If the regex engine would otherwise write a slot offset that doesn't fit in the provided slice, then it is simply skipped. In general though, there are usually three slice lengths you might want to use:

An empty slice, if you only care about which pattern matched.
A slice with pattern_len() * 2 slots, if you only care about the overall match spans for each matching pattern.
A slice with slot_len() slots, which permits recording match offsets for every capturing group in every pattern.

Example

This example shows how to find the overall match offsets in a multi-pattern search without allocating a Captures value. Indeed, we can put our slots right on the stack.

# if cfg!(miri) { return Ok(()); } // miri takes too long
use regex_automata::{meta::Regex, PatternID, Input};

let re = Regex::new_many(&[
    r"\pL+",
    r"\d+",
])?;
let input = Input::new("!@#123");

// We only care about the overall match offsets here, so we just
// allocate two slots for each pattern. Each slot records the start
// and end of the match.
let mut slots = [None; 4];
let pid = re.search_slots(&input, &mut slots);
assert_eq!(Some(PatternID::must(1)), pid);

// The overall match offsets are always at 'pid * 2' and 'pid * 2 + 1'.
// See 'GroupInfo' for more details on the mapping between groups and
// slot indices.
let slot_start = pid.unwrap().as_usize() * 2;
let slot_end = slot_start + 1;
assert_eq!(Some(3), slots[slot_start].map(|s| s.get()));
assert_eq!(Some(6), slots[slot_end].map(|s| s.get()));

# Ok::<(), Box<dyn std::error::Error>>(())

fn which_overlapping_matches(self: &Self, input: &Input<'_>, patset: &mut PatternSet)

Writes the set of patterns that match anywhere in the given search configuration to patset. If multiple patterns match at the same position and this Regex was configured with MatchKind::All semantics, then all matching patterns are written to the given set.

Unless all of the patterns in this Regex are anchored, then generally speaking, this will scan the entire haystack.

This search routine does not clear the pattern set. This gives some flexibility to the caller (e.g., running multiple searches with the same pattern set), but does make the API bug-prone if you're reusing the same pattern set for multiple searches but intended them to be independent.

If a pattern ID matched but the given PatternSet does not have sufficient capacity to store it, then it is not inserted and silently dropped.

Example

This example shows how to find all matching patterns in a haystack, even when some patterns match at the same position as other patterns. It is important that we configure the Regex with MatchKind::All semantics here, or else overlapping matches will not be reported.

# if cfg!(miri) { return Ok(()); } // miri takes too long
use regex_automata::{meta::Regex, Input, MatchKind, PatternSet};

let patterns = &[
    r"\w+", r"\d+", r"\pL+", r"foo", r"bar", r"barfoo", r"foobar",
];
let re = Regex::builder()
    .configure(Regex::config().match_kind(MatchKind::All))
    .build_many(patterns)?;

let input = Input::new("foobar");
let mut patset = PatternSet::new(re.pattern_len());
re.which_overlapping_matches(&input, &mut patset);
let expected = vec![0, 2, 3, 4, 6];
let got: Vec<usize> = patset.iter().map(|p| p.as_usize()).collect();
assert_eq!(expected, got);

# Ok::<(), Box<dyn std::error::Error>>(())

`impl Clone for Regex`

fn clone(self: &Self) -> Regex

`impl Debug for Regex`

fn fmt(self: &Self, f: &mut Formatter<'_>) -> Result

`impl Freeze for Regex`

`impl RefUnwindSafe for Regex`

`impl Send for Regex`

`impl Sync for Regex`

`impl Unpin for Regex`

`impl UnsafeUnpin for Regex`

`impl UnwindSafe for Regex`

`impl<T> Any for Regex`

fn type_id(self: &Self) -> TypeId

`impl<T> Borrow for Regex`

fn borrow(self: &Self) -> &T

`impl<T> BorrowMut for Regex`

fn borrow_mut(self: &mut Self) -> &mut T

`impl<T> CloneToUninit for Regex`

unsafe fn clone_to_uninit(self: &Self, dest: *mut u8)

`impl<T> From for Regex`

fn from(t: T) -> T: Returns the argument unchanged.

`impl<T> ToOwned for Regex`

fn to_owned(self: &Self) -> T
fn clone_into(self: &Self, target: &mut T)

`impl<T, U> Into for Regex`

fn into(self: Self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of [From]<T> for U chooses to do.

`impl<T, U> TryFrom for Regex`

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

`impl<T, U> TryInto for Regex`

fn try_into(self: Self) -> Result<U, <U as TryFrom<T>>::Error>

Composition

Synchronization and cloning

Warning: spin-locks may be used in alloc-only mode

Example

Example: anchored search

Example: earliest search

Example: change the line terminator

Implementations

impl Regex

Example

Example: simple lexer

Example: finding the pattern that caused an error

Example: zero patterns is valid

Example: lower the NFA size limit

Example: change the line terminator

impl Regex

Example

Example: consistency with search APIs

Example

Example

Example

Example

Example

Example: more cases

Example

Examples: more cases

impl Regex

Example

Example

Example

Example

Example: multiple patterns

Example

Example: multiple patterns

Example

Example

impl Regex

Why pass a Cache explicitly?

Example

Why pass a Cache explicitly?

Example

Why pass a Cache explicitly?

Example: specific pattern search

Example: specifying the bounds of a search

Why pass a Cache explicitly?

Example

Why pass a Cache explicitly?

Example

impl Regex

Example

Example

Example: specific pattern search

Example: specifying the bounds of a search

Example

Example

impl Clone for Regex

impl Debug for Regex

impl Freeze for Regex

impl RefUnwindSafe for Regex

impl Send for Regex

impl Sync for Regex

impl Unpin for Regex

impl UnsafeUnpin for Regex

impl UnwindSafe for Regex

impl<T> Any for Regex

impl<T> Borrow for Regex

impl<T> BorrowMut for Regex

impl<T> CloneToUninit for Regex

impl<T> From for Regex

impl<T> ToOwned for Regex

impl<T, U> Into for Regex

impl<T, U> TryFrom for Regex

impl<T, U> TryInto for Regex

`impl Regex`

`impl Regex`

`impl Regex`

`impl Regex`

Why pass a `Cache` explicitly?

Why pass a `Cache` explicitly?

Why pass a `Cache` explicitly?

Why pass a `Cache` explicitly?

Why pass a `Cache` explicitly?

`impl Regex`

`impl Clone for Regex`

`impl Debug for Regex`

`impl Freeze for Regex`

`impl RefUnwindSafe for Regex`

`impl Send for Regex`

`impl Sync for Regex`

`impl Unpin for Regex`

`impl UnsafeUnpin for Regex`

`impl UnwindSafe for Regex`

`impl<T> Any for Regex`

`impl<T> Borrow for Regex`

`impl<T> BorrowMut for Regex`

`impl<T> CloneToUninit for Regex`

`impl<T> From for Regex`

`impl<T> ToOwned for Regex`

`impl<T, U> Into for Regex`

`impl<T, U> TryFrom for Regex`

`impl<T, U> TryInto for Regex`