forked from zhurui/management
59 lines
1.6 KiB
Markdown
59 lines
1.6 KiB
Markdown
# js-levenshtein [![Build Status](https://travis-ci.org/gustf/js-levenshtein.svg?branch=master)](https://travis-ci.org/gustf/js-levenshtein)
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A very efficient JS implementation calculating the Levenshtein distance, i.e. the difference between two strings.
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Based on Wagner-Fischer dynamic programming algorithm, optimized for speed and memory
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- use a single distance vector instead of a matrix
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- loop unrolling on the outer loop
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- remove common prefixes/postfixes from the calculation
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- minimize the number of comparisons
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## Install
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```
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$ npm install --save js-levenshtein
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```
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## Usage
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```js
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const levenshtein = require('js-levenshtein');
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levenshtein('kitten', 'sitting');
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//=> 3
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```
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## Benchmark
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```
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$ npm run bench
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50 paragraphs, length max=500 min=240 avr=372.5
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162 op/s » js-levenshtein
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98 op/s » talisman
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94 op/s » levenshtein-edit-distance
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85 op/s » leven
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39 op/s » fast-levenshtein
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100 sentences, length max=170 min=6 avr=57.5
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3,076 op/s » js-levenshtein
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2,024 op/s » talisman
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1,817 op/s » levenshtein-edit-distance
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1,633 op/s » leven
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800 op/s » fast-levenshtein
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2000 words, length max=20 min=3 avr=9.5
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3,119 op/s » js-levenshtein
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2,416 op/s » talisman
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2,141 op/s » levenshtein-edit-distance
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1,855 op/s » leven
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1,260 op/s » fast-levenshtein
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```
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Benchmarks was performed with node v8.12.0 on a MacBook Pro 15", 2.9 GHz Intel Core i9
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## License
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MIT © Gustaf Andersson |