@shelf/fast-chunk-string

fast-chunk-string

Chunk string into equal substrings with unicode support

Credits to stackoverflow.com/a/29202760/2727317

Install

$ yarn add @shelf/fast-chunk-string

Usage

const fastChunkString = require('@shelf/fast-chunk-string');

// the fastest way
fastChunkString('unicorns', {size: 2, unicodeAware: false});
// => ['un', 'ic', 'or', 'ns']

// ignore unicode, still fast but inaccurate
fastChunkString('😀😃😄😁', {size: 2, unicodeAware: false});
// => ['😀', '😃', '😄', '😁']

// respect unicode, slow but accurate
fastChunkString('😀😃😄😁', {size: 2, unicodeAware: true});
// => ['😀😃', '😄😁']

Benchmarks

Run via yarn benchmark. Measured on Macbook Pro 13" with M1 processor.

~33 kb split by 2 kb x 8,902,281 ops/sec ±0.37% (97 runs sampled)
~33 kb split by 1 mb x 100,872,434 ops/sec ±0.65% (92 runs sampled)
~330 kb split by 2 kb x 1,009,220 ops/sec ±0.89% (95 runs sampled)
~330 kb split by 1 mb x 97,087,201 ops/sec ±5.51% (90 runs sampled)
~3.3 mb split by 2 kb x 102,498 ops/sec ±1.74% (97 runs sampled)
~3.3 mb split by 1 mb x 33,719,853 ops/sec ±2.55% (94 runs sampled)
~33 mb split by 2 kb x 9,953 ops/sec ±1.21% (95 runs sampled)
~33 mb split by 1 mb x 4,976,079 ops/sec ±1.22% (94 runs sampled)
~33 kb split by 2 kb with unicodeAware x 37.98 ops/sec ±0.16% (65 runs sampled)
~33 kb split by 1 mb with unicodeAware x 355 ops/sec ±0.29% (89 runs sampled)
~330 kb split by 2 kb with unicodeAware x 0.40 ops/sec ±1.19% (5 runs sampled)
~330 kb split by 1 mb with unicodeAware x 34.99 ops/sec ±0.91% (61 runs sampled)

Publish

$ git checkout master
$ yarn version
$ yarn publish
$ git push origin master --tags

License

MIT © Shelf