Files
Agent-n8n/web_frontend/food-order-demo/node_modules/fast-levenshtein
Yep_Q c3eb7125cc feat: 创建食品订单班演示系统基础框架
详细说明:
- 基于文旅订单班框架复制创建food-order-demo项目
- 修改端口配置为4174避免冲突
- 更新LandingPage为青莳轻食主题(绿色健康风格)
- 重新定义7个食品行业专业Agent:
  * 市场研究专家:轻食市场分析、客群画像
  * 营养配方师:营养成分配比、低卡高蛋白设计
  * 供应链管理专家:有机食材供应、溯源体系
  * 品牌策划师:品牌定位、店铺空间布局
  * 财务分析师:投资预算、ROI分析
  * 运营管理专家:运营流程、品控标准
  * 食品创业导师:中央协调、方案整合
- 创建专用启动脚本start.sh
- 验证系统可正常运行在端口4174
- 实现代码复用率90%,符合预期目标

影响文件: web_frontend/food-order-demo/
技术栈: React 18 + TypeScript + Tailwind CSS + Zustand
2025-09-28 10:32:44 +08:00
..

fast-levenshtein - Levenshtein algorithm in Javascript

Build Status NPM module NPM downloads Follow on Twitter

An efficient Javascript implementation of the Levenshtein algorithm with locale-specific collator support.

Features

  • Works in node.js and in the browser.
  • Better performance than other implementations by not needing to store the whole matrix (more info).
  • Locale-sensitive string comparisions if needed.
  • Comprehensive test suite and performance benchmark.
  • Small: <1 KB minified and gzipped

Installation

node.js

Install using npm:

$ npm install fast-levenshtein

Browser

Using bower:

$ bower install fast-levenshtein

If you are not using any module loader system then the API will then be accessible via the window.Levenshtein object.

Examples

Default usage

var levenshtein = require('fast-levenshtein');

var distance = levenshtein.get('back', 'book');   // 2
var distance = levenshtein.get('我愛你', '我叫你');   // 1

Locale-sensitive string comparisons

It supports using Intl.Collator for locale-sensitive string comparisons:

var levenshtein = require('fast-levenshtein');

levenshtein.get('mikailovitch', 'Mikhaïlovitch', { useCollator: true});
// 1

Building and Testing

To build the code and run the tests:

$ npm install -g grunt-cli
$ npm install
$ npm run build

Performance

Thanks to Titus Wormer for encouraging me to do this.

Benchmarked against other node.js levenshtein distance modules (on Macbook Air 2012, Core i7, 8GB RAM):

Running suite Implementation comparison [benchmark/speed.js]...
>> levenshtein-edit-distance x 234 ops/sec ±3.02% (73 runs sampled)
>> levenshtein-component x 422 ops/sec ±4.38% (83 runs sampled)
>> levenshtein-deltas x 283 ops/sec ±3.83% (78 runs sampled)
>> natural x 255 ops/sec ±0.76% (88 runs sampled)
>> levenshtein x 180 ops/sec ±3.55% (86 runs sampled)
>> fast-levenshtein x 1,792 ops/sec ±2.72% (95 runs sampled)
Benchmark done.
Fastest test is fast-levenshtein at 4.2x faster than levenshtein-component

You can run this benchmark yourself by doing:

$ npm install
$ npm run build
$ npm run benchmark

Contributing

If you wish to submit a pull request please update and/or create new tests for any changes you make and ensure the grunt build passes.

See CONTRIBUTING.md for details.

License

MIT - see LICENSE.md