npm package: @onesy/huffman-code
Description: Huffman code
Author: Lazar
Latest version: 1.0.0


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<p align='center'>
  <a target='_blank' rel='noopener noreferrer' href='#'>
    <img src='utils/images/logo.svg' alt='onesy logo' />
  </a>
</p>

<h1 align='center'>onesy Huffman Code</h1>

<p align='center'>
  Own implementation of Huffman coding algorithm
</p>

<br />

<h3 align='center'>
  <sub>MIT license&nbsp;&nbsp;&nbsp;&nbsp;</sub>
  <sub>Production ready&nbsp;&nbsp;&nbsp;&nbsp;</sub>
  <sub>UMD 11.9kb gzipped&nbsp;&nbsp;&nbsp;&nbsp;</sub>
  <sub>100% test cov&nbsp;&nbsp;&nbsp;&nbsp;</sub>
  <sub>Browser and Nodejs</sub>
</h3>

<p align='center'>
  <sub>Very simple code&nbsp;&nbsp;&nbsp;&nbsp;</sub>
  <sub>Modern code&nbsp;&nbsp;&nbsp;&nbsp;</sub>
  <sub>Junior friendly&nbsp;&nbsp;&nbsp;&nbsp;</sub>
  <sub>Typescript&nbsp;&nbsp;&nbsp;&nbsp;</sub>
  <sub>Made with :yellow_heart:</sub>
</p>

<br />

## Getting started

### Add

```sh
yarn add @onesy/huffman-code
```

### Use

```javascript
  import OnesyHuffmanCode from '@onesy/huffman-code';

  // Make a new OnesyHuffmanCode instance
  // with an optional initial values
  // string to encode, already calculated probabilities and
  // already calculated values
  // On making an instance encoding will be made
  const onesyHuffmanCode = new OnesyHuffmanCode('Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce dolor sem, facilisis sed erat sit amet, pharetra blandit augue. Sed id placerat felis, malesuada rutrum nisl. In ultrices sed mauris finibus malesuada. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Integer cursus, odio id rutrum blandit, neque velit aliquam odio, at rhoncus elit est nec erat. Proin egestas mauris elit, sit amet molestie nisi semper at. Cras interdum massa nec molestie rutrum. Duis commodo venenatis justo, ac porta tellus pellentesque sed. Donec et nisi metus.');

  // Initial byte size value
  // is 589 bytes, and after using
  // above method, encoded byte size is 444 bytes
  // including huffman code dictionary,
  // which is 7.3 compression percentage

  // Encoded
  // or very simply onesyHuffmanCode.response
  const response = onesyHuffmanCode.encoded;

  // {
  //   "value": "AAL/AAgr6XUV8YbCGqY3XUfY4tSPAAoACDcaXTR5Z5laY83/KjrGGwAIalf7e3Hm01NakbIADo1TG66j7OfcAAoAA7frcxpjcTwl5vcjaTZ1uOg6N7K019r9ZUXG7AAFAABXzTVvM/NitAAEnVakbX4gmt7S0/irX6youN3merdVbnQmjRx5idQnka9FuNrTAAIdoEPRJozkGOLF+nsw1AAHfZyDSx06AAaz6bpuQ15n5oTxAAY5AAUVfYTSOk2AoAAK+/W5jTH2ZeiWe1aY3Wn0XXwmkft0YHwscqytMZVGZHyDo83vAAGWyeKo6tfiAAmsrTH2qY3XUa42VRKzTU6ldyDdHmeg6tLQgMV9fqrsyPrjZVErAAFAFfzfxTWON7iYc9pk3RNZ/KoAB+3HzhCO0K1irOVrJoVeiWpG838ACyPlGaanXUFXBA==",
  //   "values": {
  //       "r": "0000",
  //       "o": "0001",
  //       "u": "0010",
  //       "d": "00110",
  //       "c": "00111",
  //       "e": "010",
  //       "n": "0110",
  //       "p": "01110",
  //       "g": "0111100",
  //       "C": "01111010",
  //       "v": "01111011",
  //       "h": "0111110",
  //       "I": "01111110",
  //       "j": "01111111",
  //       "t": "1000",
  //       "i": "1001",
  //       "s": "1010",
  //       "l": "10110",
  //       "m": "10111",
  //       " ": "110",
  //       "a": "1110",
  //       ".": "111100",
  //       "q": "1111010",
  //       "f": "11110110",
  //       "S": "111101110",
  //       "P": "111101111",
  //       ",": "111110",
  //       "b": "1111110",
  //       "D": "11111110",
  //       "L": "111111110",
  //       "F": "111111111"
  //   },
  //   "values_encoded": "0000 ro 1 u 1 dc 1 e 1 n 1 p 2 g 1 Cv 1 h 1 Ij 4 ti 1 s 1 lm 1   1 a 2 . 1 q 1 f 1 SP 1 , 1 b 1 D 1 LF",
  //   "probabilities": {
  //       "L": 0.0017,
  //       "o": 0.0475,
  //       "r": 0.0526,
  //       "e": 0.0985,
  //       "m": 0.039,
  //       " ": 0.1511,
  //       "i": 0.0764,
  //       "p": 0.0187,
  //       "s": 0.0815,
  //       "u": 0.0526,
  //       "d": 0.0306,
  //       "l": 0.0407,
  //       "t": 0.0781,
  //       "a": 0.0696,
  //       ",": 0.017,
  //       "c": 0.0306,
  //       "n": 0.0441,
  //       "g": 0.0068,
  //       ".": 0.017,
  //       "F": 0.0017,
  //       "f": 0.0051,
  //       "h": 0.0051,
  //       "b": 0.0068,
  //       "S": 0.0017,
  //       "I": 0.0034,
  //       "C": 0.0034,
  //       "q": 0.0085,
  //       "v": 0.0034,
  //       "P": 0.0017,
  //       "D": 0.0034,
  //       "j": 0.0017
  //   },
  //   "efficiency": 0.991,
  //   "redundency": 0.037,
  //   "entropy": 4.138,
  //   "original_byte_size": 589,
  //   "values_byte_size": 102,
  //   "value_byte_size": 444,
  //   "encoded_byte_size": 546,
  //   "compression_ratio": 1.08,
  //   "compression_percentage": 7.3,
  //   "positive": true,
  //   "average_code_word_length": 4.175,
  //   "performance_milliseconds": 4,
  //   "performance": "4 milliseconds"
  // }

  // Decode
  // with onesyHuffmanCode.decode or OnesyHuffmanCode.decode a static method
  OnesyHuffmanCode.decode(response.value, response.values);

  // {
  //   "value": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce dolor sem, facilisis sed erat sit amet, pharetra blandit augue. Sed id placerat felis, malesuada rutrum nisl. In ultrices sed mauris finibus malesuada. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Integer cursus, odio id rutrum blandit, neque velit aliquam odio, at rhoncus elit est nec erat. Proin egestas mauris elit, sit amet molestie nisi semper at. Cras interdum massa nec molestie rutrum. Duis commodo venenatis justo, ac porta tellus pellentesque sed. Donec et nisi metus.",
  //   "original_byte_size": 589,
  //   "value_byte_size": 444,
  //   "performance_milliseconds": 7,
  //   "performance": "7 milliseconds"
  // }
```

### Dev

Install

```sh
yarn
```

Test

```sh
yarn test
```

### Prod

Build

```sh
yarn build
```