Struct regex_automata::util::iter::Searcher

pub struct Searcher<'h> { /* private fields */ }

A searcher for creating iterators and performing lower level iteration.

This searcher encapsulates the logic required for finding all successive non-overlapping matches in a haystack. In theory, iteration would look something like this:

1. Setting the start position to 0.
2. Execute a regex search. If no match, end iteration.
3. Report the match and set the start position to the end of the match.
4. Go back to (2).

And if this were indeed the case, it’s likely that Searcher wouldn’t exist. Unfortunately, because a regex may match the empty string, the above logic won’t work for all possible regexes. Namely, if an empty match is found, then step (3) would set the start position of the search to the position it was at. Thus, iteration would never end.

Instead, a Searcher knows how to detect these cases and forcefully advance iteration in the case of an empty match that overlaps with a previous match.

If you know that your regex cannot match any empty string, then the simple algorithm described above will work correctly.

When possible, prefer the iterators defined on the regex engine you’re using. This tries to abstract over the regex engine and is thus a bit more unwieldy to use.

In particular, a Searcher is not itself an iterator. Instead, it provides advance routines that permit moving the search along explicitly. It also provides various routines, like Searcher::into_matches_iter, that accept a closure (representing how a regex engine executes a search) and returns a conventional iterator.

The lifetime parameters come from the Input type passed to Searcher::new:

• 'h is the lifetime of the underlying haystack.

Searcher vs Iterator

Why does a search type with “advance” APIs exist at all when we also have iterators? Unfortunately, the reasoning behind this split is a complex combination of the following things:

1. While many of the regex engines expose their own iterators, it is also nice to expose this lower level iteration helper because it permits callers to provide their own Input configuration. Moreover, a Searcher can work with any regex engine instead of only the ones defined in this crate. This way, everyone benefits from a shared iteration implementation.
2. There are many different regex engines that, while they have the same match semantics, they have slightly different APIs. Iteration is just complex enough to want to share code, and so we need a way of abstracting over those different regex engines. While we could define a new trait that describes any regex engine search API, it would wind up looking very close to a closure. While there may still be reasons for the more generic trait to exist, for now and for the purposes of iteration, we use a closure. Closures also provide a lot of easy flexibility at the call site, in that they permit the caller to borrow any kind of state they want for use during each search call.
3. As a result of using closures, and because closures are anonymous types that cannot be named, it is difficult to encapsulate them without both costs to speed and added complexity to the public API. For example, in defining an iterator type like dfa::regex::FindMatches, if we use a closure internally, it’s not possible to name this type in the return type of the iterator constructor. Thus, the only way around it is to erase the type by boxing it and turning it into a Box<dyn FnMut ...>. This boxed closure is unlikely to be inlined and it infects the public API in subtle ways. Namely, unless you declare the closure as implementing Send and Sync, then the resulting iterator type won’t implement it either. But there are practical issues with requiring the closure to implement Send and Sync that result in other API complexities that are beyond the scope of this already long exposition.
4. Some regex engines expose more complex match information than just “which pattern matched” and “at what offsets.” For example, the PikeVM exposes match spans for each capturing group that participated in the match. In such cases, it can be quite beneficial to reuse the capturing group allocation on subsequent searches. A proper iterator doesn’t permit this API due to its interface, so it’s useful to have something a bit lower level that permits callers to amortize allocations while also reusing a shared implementation of iteration. (See the documentation for Searcher::advance for an example of using the “advance” API with the PikeVM.)

What this boils down to is that there are “advance” APIs which require handing a closure to it for every call, and there are also APIs to create iterators from a closure. The former are useful for implementing iterators or when you need more flexibility, while the latter are useful for conveniently writing custom iterators on-the-fly.

Example: iterating with captures

Several regex engines in this crate over convenient iterator APIs over Captures values. To do so, this requires allocating a new Captures value for each iteration step. This can perhaps be more costly than you might want. Instead of implementing your own iterator to avoid that cost (which can be a little subtle if you want to handle empty matches correctly), you can use this Searcher to do it for you:

use regex_automata::{
    nfa::thompson::pikevm::PikeVM,
    util::iter::Searcher,
    Input, Span,
};

let re = PikeVM::new("foo(?P<numbers>[0-9]+)")?;
let haystack = "foo1 foo12 foo123";

let mut caps = re.create_captures();
let mut cache = re.create_cache();
let mut matches = vec![];
let mut searcher = Searcher::new(Input::new(haystack));
while let Some(_) = searcher.advance(|input| {
    re.search(&mut cache, input, &mut caps);
    Ok(caps.get_match())
}) {
    // The unwrap is OK since 'numbers' matches if the pattern matches.
    matches.push(caps.get_group_by_name("numbers").unwrap());
}
assert_eq!(matches, vec![
    Span::from(3..4),
    Span::from(8..10),
    Span::from(14..17),
]);

Implementations

impl<'h> Searcher<'h>

pub fn new(input: Input<'h>) -> Searcher<'h>

Create a new fallible non-overlapping matches iterator.

The given input provides the parameters (including the haystack), while the finder represents a closure that calls the underlying regex engine. The closure may borrow any additional state that is needed, such as a prefilter scanner.

pub fn input<'s>(&'s self) -> &'s Input<'h>

Returns the current Input used by this searcher.

The Input returned is generally equivalent to the one given to Searcher::new, but its start position may be different to reflect the start of the next search to be executed.

pub fn advance_half<F>(&mut self, finder: F) -> Option<HalfMatch>where F: FnMut(&Input<'_>) -> Result<Option<HalfMatch>, MatchError>,

Return the next half match for an infallible search if one exists, and advance to the next position.

This is like try_advance_half, except errors are converted into panics.

Panics

If the given closure returns an error, then this panics. This is useful when you know your underlying regex engine has been configured to not return an error.

Example

This example shows how to use a Searcher to iterate over all matches when using a DFA, which only provides “half” matches.

use regex_automata::{
    hybrid::dfa::DFA,
    util::iter::Searcher,
    HalfMatch, Input,
};

let re = DFA::new(r"[0-9]{4}-[0-9]{2}-[0-9]{2}")?;
let mut cache = re.create_cache();

let input = Input::new("2010-03-14 2016-10-08 2020-10-22");
let mut it = Searcher::new(input);

let expected = Some(HalfMatch::must(0, 10));
let got = it.advance_half(|input| re.try_search_fwd(&mut cache, input));
assert_eq!(expected, got);

let expected = Some(HalfMatch::must(0, 21));
let got = it.advance_half(|input| re.try_search_fwd(&mut cache, input));
assert_eq!(expected, got);

let expected = Some(HalfMatch::must(0, 32));
let got = it.advance_half(|input| re.try_search_fwd(&mut cache, input));
assert_eq!(expected, got);

let expected = None;
let got = it.advance_half(|input| re.try_search_fwd(&mut cache, input));
assert_eq!(expected, got);

This correctly moves iteration forward even when an empty match occurs:

use regex_automata::{
    hybrid::dfa::DFA,
    util::iter::Searcher,
    HalfMatch, Input,
};

let re = DFA::new(r"a|")?;
let mut cache = re.create_cache();

let input = Input::new("abba");
let mut it = Searcher::new(input);

let expected = Some(HalfMatch::must(0, 1));
let got = it.advance_half(|input| re.try_search_fwd(&mut cache, input));
assert_eq!(expected, got);

let expected = Some(HalfMatch::must(0, 2));
let got = it.advance_half(|input| re.try_search_fwd(&mut cache, input));
assert_eq!(expected, got);

let expected = Some(HalfMatch::must(0, 4));
let got = it.advance_half(|input| re.try_search_fwd(&mut cache, input));
assert_eq!(expected, got);

let expected = None;
let got = it.advance_half(|input| re.try_search_fwd(&mut cache, input));
assert_eq!(expected, got);

pub fn advance<F>(&mut self, finder: F) -> Option<Match>where F: FnMut(&Input<'_>) -> Result<Option<Match>, MatchError>,

Return the next match for an infallible search if one exists, and advance to the next position.

The search is advanced even in the presence of empty matches by forbidding empty matches from overlapping with any other match.

This is like try_advance, except errors are converted into panics.

Panics

If the given closure returns an error, then this panics. This is useful when you know your underlying regex engine has been configured to not return an error.

Example

This example shows how to use a Searcher to iterate over all matches when using a regex based on lazy DFAs:

use regex_automata::{
    hybrid::regex::Regex,
    util::iter::Searcher,
    Match, Input,
};

let re = Regex::new(r"[0-9]{4}-[0-9]{2}-[0-9]{2}")?;
let mut cache = re.create_cache();

let input = Input::new("2010-03-14 2016-10-08 2020-10-22");
let mut it = Searcher::new(input);

let expected = Some(Match::must(0, 0..10));
let got = it.advance(|input| re.try_search(&mut cache, input));
assert_eq!(expected, got);

let expected = Some(Match::must(0, 11..21));
let got = it.advance(|input| re.try_search(&mut cache, input));
assert_eq!(expected, got);

let expected = Some(Match::must(0, 22..32));
let got = it.advance(|input| re.try_search(&mut cache, input));
assert_eq!(expected, got);

let expected = None;
let got = it.advance(|input| re.try_search(&mut cache, input));
assert_eq!(expected, got);

This example shows the same as above, but with the PikeVM. This example is useful because it shows how to use this API even when the regex engine doesn’t directly return a Match.

use regex_automata::{
    nfa::thompson::pikevm::PikeVM,
    util::iter::Searcher,
    Match, Input,
};

let re = PikeVM::new(r"[0-9]{4}-[0-9]{2}-[0-9]{2}")?;
let (mut cache, mut caps) = (re.create_cache(), re.create_captures());

let input = Input::new("2010-03-14 2016-10-08 2020-10-22");
let mut it = Searcher::new(input);

let expected = Some(Match::must(0, 0..10));
let got = it.advance(|input| {
    re.search(&mut cache, input, &mut caps);
    Ok(caps.get_match())
});
// Note that if we wanted to extract capturing group spans, we could
// do that here with 'caps'.
assert_eq!(expected, got);

let expected = Some(Match::must(0, 11..21));
let got = it.advance(|input| {
    re.search(&mut cache, input, &mut caps);
    Ok(caps.get_match())
});
assert_eq!(expected, got);

let expected = Some(Match::must(0, 22..32));
let got = it.advance(|input| {
    re.search(&mut cache, input, &mut caps);
    Ok(caps.get_match())
});
assert_eq!(expected, got);

let expected = None;
let got = it.advance(|input| {
    re.search(&mut cache, input, &mut caps);
    Ok(caps.get_match())
});
assert_eq!(expected, got);

pub fn try_advance_half<F>( &mut self, finder: F ) -> Result<Option<HalfMatch>, MatchError>where F: FnMut(&Input<'_>) -> Result<Option<HalfMatch>, MatchError>,

Return the next half match for a fallible search if one exists, and advance to the next position.

This is like advance_half, except it permits callers to handle errors during iteration.

pub fn try_advance<F>(&mut self, finder: F) -> Result<Option<Match>, MatchError>where F: FnMut(&Input<'_>) -> Result<Option<Match>, MatchError>,

Return the next match for a fallible search if one exists, and advance to the next position.

This is like advance, except it permits callers to handle errors during iteration.

pub fn into_half_matches_iter<F>(self, finder: F) -> TryHalfMatchesIter<'h, F> where F: FnMut(&Input<'_>) -> Result<Option<HalfMatch>, MatchError>,

Given a closure that executes a single search, return an iterator over all successive non-overlapping half matches.

The iterator returned yields result values. If the underlying regex engine is configured to never return an error, consider calling TryHalfMatchesIter::infallible to convert errors into panics.

Example

This example shows how to use a Searcher to create a proper iterator over half matches.

use regex_automata::{
    hybrid::dfa::DFA,
    util::iter::Searcher,
    HalfMatch, Input,
};

let re = DFA::new(r"[0-9]{4}-[0-9]{2}-[0-9]{2}")?;
let mut cache = re.create_cache();

let input = Input::new("2010-03-14 2016-10-08 2020-10-22");
let mut it = Searcher::new(input).into_half_matches_iter(|input| {
    re.try_search_fwd(&mut cache, input)
});

let expected = Some(Ok(HalfMatch::must(0, 10)));
assert_eq!(expected, it.next());

let expected = Some(Ok(HalfMatch::must(0, 21)));
assert_eq!(expected, it.next());

let expected = Some(Ok(HalfMatch::must(0, 32)));
assert_eq!(expected, it.next());

let expected = None;
assert_eq!(expected, it.next());

pub fn into_matches_iter<F>(self, finder: F) -> TryMatchesIter<'h, F> where F: FnMut(&Input<'_>) -> Result<Option<Match>, MatchError>,

Given a closure that executes a single search, return an iterator over all successive non-overlapping matches.

The iterator returned yields result values. If the underlying regex engine is configured to never return an error, consider calling TryMatchesIter::infallible to convert errors into panics.

Example

This example shows how to use a Searcher to create a proper iterator over matches.

use regex_automata::{
    hybrid::regex::Regex,
    util::iter::Searcher,
    Match, Input,
};

let re = Regex::new(r"[0-9]{4}-[0-9]{2}-[0-9]{2}")?;
let mut cache = re.create_cache();

let input = Input::new("2010-03-14 2016-10-08 2020-10-22");
let mut it = Searcher::new(input).into_matches_iter(|input| {
    re.try_search(&mut cache, input)
});

let expected = Some(Ok(Match::must(0, 0..10)));
assert_eq!(expected, it.next());

let expected = Some(Ok(Match::must(0, 11..21)));
assert_eq!(expected, it.next());

let expected = Some(Ok(Match::must(0, 22..32)));
assert_eq!(expected, it.next());

let expected = None;
assert_eq!(expected, it.next());

pub fn into_captures_iter<F>( self, caps: Captures, finder: F ) -> TryCapturesIter<'h, F> where F: FnMut(&Input<'_>, &mut Captures) -> Result<(), MatchError>,

Given a closure that executes a single search, return an iterator over all successive non-overlapping Captures values.

The iterator returned yields result values. If the underlying regex engine is configured to never return an error, consider calling TryCapturesIter::infallible to convert errors into panics.

Unlike the other iterator constructors, this accepts an initial Captures value. This Captures value is reused for each search, and the iterator implementation clones it before returning it. The caller must provide this value because the iterator is purposely ignorant of the underlying regex engine and thus doesn’t know how to create one itself. More to the point, a Captures value itself has a few different constructors, which change which kind of information is available to query in exchange for search performance.

Example

This example shows how to use a Searcher to create a proper iterator over Captures values, which provides access to all capturing group spans for each match.

use regex_automata::{
    nfa::thompson::pikevm::PikeVM,
    util::iter::Searcher,
    Input,
};

let re = PikeVM::new(
    r"(?P<y>[0-9]{4})-(?P<m>[0-9]{2})-(?P<d>[0-9]{2})",
)?;
let (mut cache, caps) = (re.create_cache(), re.create_captures());

let haystack = "2010-03-14 2016-10-08 2020-10-22";
let input = Input::new(haystack);
let mut it = Searcher::new(input)
    .into_captures_iter(caps, |input, caps| {
        re.search(&mut cache, input, caps);
        Ok(())
    });

let got = it.next().expect("first date")?;
let year = got.get_group_by_name("y").expect("must match");
assert_eq!("2010", &haystack[year]);

let got = it.next().expect("second date")?;
let month = got.get_group_by_name("m").expect("must match");
assert_eq!("10", &haystack[month]);

let got = it.next().expect("third date")?;
let day = got.get_group_by_name("d").expect("must match");
assert_eq!("22", &haystack[day]);

assert!(it.next().is_none());

Trait Implementations

impl<'h> Clone for Searcher<'h>

fn clone(&self) -> Searcher<'h>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<'h> Debug for Searcher<'h>

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

Formats the value using the given formatter.