NoahLan 7d47c277c8 | 1 year ago | |
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README.md | 2 years ago | |
ahocorasick.go | 1 year ago | |
automaton.go | 2 years ago | |
byte_frequencies.go | 2 years ago | |
classes.go | 2 years ago | |
dfa.go | 2 years ago | |
nfa.go | 2 years ago | |
prefilter.go | 1 year ago | |
util.go | 2 years ago |
README.md
aho-corasick
Efficient string matching in Golang via the aho-corasick algorithm.
x20 faster than https://github.com/cloudflare/ahocorasick and x3 faster than https://github.com/anknown/ahocorasick
Memory consuption is a eigth of https://github.com/cloudflare/ahocorasick and half of https://github.com/anknown/ahocorasick
This library is heavily inspired by https://github.com/BurntSushi/aho-corasick
Usage
go get -u github.com/petar-dambovaliev/aho-corasick
import (
ahocorasick "github.com/petar-dambovaliev/aho-corasick"
)
builder := ahocorasick.NewAhoCorasickBuilder(Opts{
AsciiCaseInsensitive: true,
MatchOnlyWholeWords: true,
MatchKind: LeftMostLongestMatch,
DFA: true,
})
ac := builder.Build([]string{"bear", "masha"})
haystack := "The Bear and Masha"
matches := ac.FindAll(haystack)
for _, match := range matches {
println(haystack[match.Start():match.End()])
}
Matching can be done via NFA
or DFA
.
NFA
has runtime complexity O(N + M) in relation to the haystack and number of matches.
DFA
has runtime complexity O(N), but it uses more memory.
Replacing of matches in the haystack.
replaceWith
needs to be the same length as the patterns
r := ahocorasick.NewReplacer(ac)
replaced := r.ReplaceAll(haystack, replaceWith)
ReplaceAllFunc
is useful, for example, if you want to use the original text cassing but you are matching
case insensitively. You can replace partially by return false and from that point, the original string will be preserved.
replaced := r.ReplaceAllFunc(haystack, func(match Match) (string, bool) {
return `<a>` + haystack[match.Start():match.End()] + `<\a>`, true
})
Search for matches one at a time via the iterator
iter := ac.Iter(haystack)
for next := iter.Next(); next != nil; next = iter.Next() {
...
}
It's plenty fast but if you want to use it in parallel, that is also possible.
Memory consumption won't increase because the read-only automaton is not actually copied, only the counters are.
The magic line is ac := ac
var w sync.WaitGroup
w.Add(50)
for i := 0; i < 50; i++ {
go func() {
ac := ac
matches := ac.FindAll(haystack)
println(len(matches))
w.Done()
}()
}
w.Wait()