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  • Downloads 858
  • Score
    100M100P100Q106971F
  • License MIT

🚀 The fastest and easiest「didyoumean」in the universe via levenshtein algorithm

Package Exports

  • didyoumean3

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (didyoumean3) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

didyoumean3

NPM

Greenkeeper badge Build Status Codecov David npm npm GitHub top language NPM

Features

  • Built-in fastest levenshtein algorithm
  • Support custom return results
  • Typescript
  • Super fast
  • More flexible configuration
  • Super small (production.min.js < 2kb) and tree shaking! more info

Usage

install

npm i didyoumean3

// or
yarn add didyoumean3

use case

  • base use
import { didyoumean3 } from 'didyoumean3'
// or
const { default: didyoumean3 } = require('didyoumean3');

let input = 'insargrm'
let list = [
  'facebook', 'INSTAgram', ' in stagram', 'baidu', 'twitter', 'wechat', 'instagram', 'linkedin'
]

console.log(didyoumean3(input, list));
// will print:
// {
//   winner: 'instagram', // 🔥 This is the best match, our winner!
//   matched: [
//     {
//       score: 8,
//       target: 'facebook',
//     },
//     {
//       score: 3,
//       target: 'instagram',
//     },
//     {
//       score: 7,
//       target: 'linkedin',
//     },
//     // ...
//   ],
// }
  • optional configuration

didyoumea3 has some built-in string formatting configuration items:

  • ignore: default is false, Case-insensitive
  • trim: default is true, will use string.trim format the string
  • trimAll: defalut is false, will trim with regexp /\s+/g
  • diacritics: default is false, just 'café' -> 'café'.normalize()
  • normalize: customize the formatting function by yourself

🔥If these parameters don't meet your requirements, you can customize the formatting function through normalize.

🔥When using the custom normalize function, the above string formatting configurations will fail

didyoumean3(input, target, { normalize: (s: string) => s.trim() } );
  • val: sometimes, you need to match against a list of object. you can use val to get the target string out.
let input = [
  { id: 'facebook' },
  { id: 'baidu' },
  { id: 'twitter' },
  { id: 'INSTAgram' },
  { id: ' in stagram' },
  { id: 'wechat' },
  { id: 'instagram' },
  { id: 'linkedin' },
];

didyoumean3(input, target, { val: item => item.id } );
  • result: Customize the structure of the results you want to return
// default result may be null or {winner: xx, matched: []}
type Res = null | { matched: any[], winner: string }

// you can custom your own result style!!
const result = (res: Res) => {
  if (!res) return 'nothing matched!'
  else return res
}

didyoumean3(input, target, { result } );
  • filter: You can filter the results you want, such as those with a score greater than 5
let i2 = 'insargrm';
let l2 = ['facebook', 'instagram', 'linkedin'];
expect(
  didyoumean3(i2, l2, { filter: (score: number, item: any) => score >= 7 })
    ?.matched.length
).toBe(2); 

benchmark

didyoumean x 168,623 ops/sec ±0.68% (90 runs sampled)
didyoumean2 x 235,201 ops/sec ±0.51% (92 runs sampled)
didyoumean3 x 398,555 ops/sec ±0.81% (91 runs sampled)
Fastest is didyoumean3

contributors

Both issure and pr are welcome!

license

MIT