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mostlymatter/vendor/github.com/couchbase/vellum/levenshtein
Miguel de la Cruz 0154b8059b [MM-20979] Add first implementation of the Bleve search engine (#14562)
* [MM-20979] Add first implementation of the Bleve search engine

* Fix i18n

* Migrate searchengine utils tests

* Fix linter

* Don't add allTermsQ if both termQueries and notTermQueries are empty

* Fix test that should work if user is system admin

* Modify naming according to review comments

* Abstract getIndexDir function

* Extracting bleve engine name as a constant

* Merge both Indexer interfaces into one

* Add worker stopped message

* Allow worker to be started/stopped with config change

* Use constants for index names

* Modify test order

* Fix linter

* Trying to unlock the CI
2020-05-20 01:29:55 +02:00
..

levenshtein

levenshtein automaton

This package makes it fast and simple to build a finite determinic automaton that computes the levenshtein distance from a given string.

Sample usage:

// build a re-usable builder
lb := NewLevenshteinAutomatonBuilder(2, false)

origTerm := "couchbasefts"
dfa := lb.BuildDfa("couchbases", 2)
ed := dfa.eval([]byte(origTerm))
if ed.distance() != 2 {
	log.Errorf("expected distance 2, actual: %d", ed.distance())
}

This implementation is inspired by blog post and is intended to be a port of original rust implementation: https://github.com/tantivy-search/levenshtein-automata

Micro Benchmark Results against the current vellum/levenshtein is as below.

BenchmarkNewEditDistance1-8       	   30000	     52684 ns/op	   89985 B/op	     295 allocs/op
BenchmarkOlderEditDistance1-8     	   10000	    132931 ns/op	  588892 B/op	     363 allocs/op

BenchmarkNewEditDistance2-8       	   10000	    199127 ns/op	  377532 B/op	    1019 allocs/op
BenchmarkOlderEditDistance2-8     	    2000	    988109 ns/op	 4236609 B/op	    1898 allocs/op