commit	39b70c297d62b30a1525e494fcaea71a71b85e5f	[log] [tgz]
author	easoncylee <easoncylee@google.com>	Tue Jul 06 07:57:42 2021 +0000
committer	Automerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>	Tue Jul 06 07:57:42 2021 +0000
tree	7e2b685f6c50185b641449ecf8389c5116af16b1
parent	5bd84f74b13cefae159989aa51f1c04a53d5a2cf [diff]
parent	a05fd3c76ac5a492e8f087e83e8b94546463f083 [diff]

tree: 7e2b685f6c50185b641449ecf8389c5116af16b1

README.md

aho-corasick

A library for finding occurrences of many patterns at once with SIMD acceleration in some cases. This library provides multiple pattern search principally through an implementation of the Aho-Corasick algorithm, which builds a finite state machine for executing searches in linear time. Features include case insensitive matching, overlapping matches, fast searching via SIMD and optional full DFA construction and search & replace in streams.

Dual-licensed under MIT or the UNLICENSE.

Documentation

https://docs.rs/aho-corasick

Usage

Add this to your Cargo.toml:

[dependencies]
aho-corasick = "0.7"

Example: basic searching

This example shows how to search for occurrences of multiple patterns simultaneously. Each match includes the pattern that matched along with the byte offsets of the match.

use aho_corasick::AhoCorasick;

let patterns = &["apple", "maple", "Snapple"];
let haystack = "Nobody likes maple in their apple flavored Snapple.";

let ac = AhoCorasick::new(patterns);
let mut matches = vec![];
for mat in ac.find_iter(haystack) {
    matches.push((mat.pattern(), mat.start(), mat.end()));
}
assert_eq!(matches, vec![
    (1, 13, 18),
    (0, 28, 33),
    (2, 43, 50),
]);

Example: case insensitivity

This is like the previous example, but matches Snapple case insensitively using AhoCorasickBuilder:

use aho_corasick::AhoCorasickBuilder;

let patterns = &["apple", "maple", "snapple"];
let haystack = "Nobody likes maple in their apple flavored Snapple.";

let ac = AhoCorasickBuilder::new()
    .ascii_case_insensitive(true)
    .build(patterns);
let mut matches = vec![];
for mat in ac.find_iter(haystack) {
    matches.push((mat.pattern(), mat.start(), mat.end()));
}
assert_eq!(matches, vec![
    (1, 13, 18),
    (0, 28, 33),
    (2, 43, 50),
]);

Example: replacing matches in a stream

This example shows how to execute a search and replace on a stream without loading the entire stream into memory first.

use aho_corasick::AhoCorasick;

let patterns = &["fox", "brown", "quick"];
let replace_with = &["sloth", "grey", "slow"];

// In a real example, these might be `std::fs::File`s instead. All you need to
// do is supply a pair of `std::io::Read` and `std::io::Write` implementations.
let rdr = "The quick brown fox.";
let mut wtr = vec![];

let ac = AhoCorasick::new(patterns);
ac.stream_replace_all(rdr.as_bytes(), &mut wtr, replace_with)
    .expect("stream_replace_all failed");
assert_eq!(b"The slow grey sloth.".to_vec(), wtr);

Example: finding the leftmost first match

In the textbook description of Aho-Corasick, its formulation is typically structured such that it reports all possible matches, even when they overlap with another. In many cases, overlapping matches may not be desired, such as the case of finding all successive non-overlapping matches like you might with a standard regular expression.

Unfortunately the “obvious” way to modify the Aho-Corasick algorithm to do this doesn't always work in the expected way, since it will report matches as soon as they are seen. For example, consider matching the regex Samwise|Sam against the text Samwise. Most regex engines (that are Perl-like, or non-POSIX) will report Samwise as a match, but the standard Aho-Corasick algorithm modified for reporting non-overlapping matches will report Sam.

A novel contribution of this library is the ability to change the match semantics of Aho-Corasick (without additional search time overhead) such that Samwise is reported instead. For example, here's the standard approach:

use aho_corasick::AhoCorasick;

let patterns = &["Samwise", "Sam"];
let haystack = "Samwise";

let ac = AhoCorasick::new(patterns);
let mat = ac.find(haystack).expect("should have a match");
assert_eq!("Sam", &haystack[mat.start()..mat.end()]);

And now here's the leftmost-first version, which matches how a Perl-like regex will work:

use aho_corasick::{AhoCorasickBuilder, MatchKind};

let patterns = &["Samwise", "Sam"];
let haystack = "Samwise";

let ac = AhoCorasickBuilder::new()
    .match_kind(MatchKind::LeftmostFirst)
    .build(patterns);
let mat = ac.find(haystack).expect("should have a match");
assert_eq!("Samwise", &haystack[mat.start()..mat.end()]);

In addition to leftmost-first semantics, this library also supports leftmost-longest semantics, which match the POSIX behavior of a regular expression alternation. See MatchKind in the docs for more details.

Minimum Rust version policy

This crate's minimum supported rustc version is 1.41.1.

The current policy is that the minimum Rust version required to use this crate can be increased in minor version updates. For example, if crate 1.0 requires Rust 1.20.0, then crate 1.0.z for all values of z will also require Rust 1.20.0 or newer. However, crate 1.y for y > 0 may require a newer minimum version of Rust.

In general, this crate will be conservative with respect to the minimum supported version of Rust.

Future work

Here are some plans for the future:

Assuming the current API is sufficient, I'd like to commit to it and release a 1.0 version of this crate some time in the next 6-12 months.
Support stream searching with leftmost match semantics. Currently, only standard match semantics are supported. Getting this right seems possible, but is tricky since the match state needs to be propagated through multiple searches. (With standard semantics, as soon as a match is seen the search ends.)