tentakelfabrik
/
tiny-consent
1
0
Fork 0
Code Issues 0 Pull Requests 0 Releases 0 Wiki Activity
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
2 Commits
1 Branch
18 MiB
 
 
 
Tree: f184cd7e2a
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from 'f184cd7e2a'
${ noResults }
tiny-consent/node_modules/js-levenshtein/README.md

1.6 KiB
Raw Blame History

js-levenshtein Build Status

A very efficient JS implementation calculating the Levenshtein distance, i.e. the difference between two strings.

Based on Wagner-Fischer dynamic programming algorithm, optimized for speed and memory

  • use a single distance vector instead of a matrix
  • loop unrolling on the outer loop
  • remove common prefixes/postfixes from the calculation
  • minimize the number of comparisons

Install

$ npm install --save js-levenshtein

Usage

const levenshtein = require('js-levenshtein');

levenshtein('kitten', 'sitting');
//=> 3

Benchmark

$ npm run bench
  
                      50 paragraphs, length max=500 min=240 avr=372.5
             162 op/s » js-levenshtein
              98 op/s » talisman
              94 op/s » levenshtein-edit-distance
              85 op/s » leven
              39 op/s » fast-levenshtein

                      100 sentences, length max=170 min=6 avr=57.5
           3,076 op/s » js-levenshtein
           2,024 op/s » talisman
           1,817 op/s » levenshtein-edit-distance
           1,633 op/s » leven
             800 op/s » fast-levenshtein

                      2000 words, length max=20 min=3 avr=9.5
           3,119 op/s » js-levenshtein
           2,416 op/s » talisman
           2,141 op/s » levenshtein-edit-distance
           1,855 op/s » leven
           1,260 op/s » fast-levenshtein

Benchmarks was performed with node v8.12.0 on a MacBook Pro 15", 2.9 GHz Intel Core i9

License

MIT © Gustaf Andersson