linear-arbitrary-precision

Abstraction for linear functionality in big.js, bignumber.js, decimal.js and others via adapters.

Install

npm i linear-arbitrary-precision

Usage

See CodePen example

Adapters

• [adapter] [lib] linear-big.js
• [adapter] [lib] big.js
• [adapter] [lib] bignumber.js
• [adapter] [lib] decimal.js
• [adapter] [lib] bigdecimal.js
• [adapter] [lib] floating
• [adapter] [lib] linear-converter
• [adapter] [lib] statistics-module

See up to date list.

Factory and configuration

var decimalFactory = require('linear-arbitrary-precision');
var adapter = require('bigjs-adapter'); // See adapters section for full list
 
var Decimal = decimalFactory(adapter);
 
Decimal.getPrecision(); // => 20
 
new Decimal('1').div(new Decimal('3')).valueOf(); // => '0.33333333333333333333'
 
Decimal.setPrecision(5);
 
new Decimal('1').div(new Decimal('3')).valueOf(); // => '0.33333'

Operations

new Decimal('0.1').plus(new Decimal('0.2')).valueOf(); // => '0.3'
new Decimal('0.3').minus(new Decimal('0.1')).valueOf(); // => '0.2'
new Decimal('0.6').times(new Decimal('3')).valueOf(); // => '1.8'
new Decimal('0.3').div(new Decimal('0.2')).valueOf(); // => '1.5'
 
new Decimal('1').equals(new Decimal('1')); // => true
new Decimal('1').equals(new Decimal('2')); // => false

toString, valueOf and toJSON

var decimalThird = new Decimal('1').div(new Decimal('3'));
 
// with bigjs-adapter (other adapters might have differing implementations)
decimalThird.toString() === decimalThird.valueOf() === decimalThird.toJSON(); // => true
 
Number(decimalThird); // => 1/3

JSON.stringify and JSON.parse with reviver

var Decimal40 = decimalFactory(adapter);
 
Decimal40.setPrecision(40);
 
var decimalThird = new Decimal40('1').div(new Decimal('3'));
 
var stringified = JSON.stringify(decimalThird);
// => '"0.3333333333333333333333333333333333333333"'
 
JSON.parse(stringified, Decimal40.reviver);
// => new Decimal40('0.3333333333333333333333333333333333333333')

See spec.

Related projects

• linear-converter: flexible linear converter with built in conversions for common units.
• linear-conversion: Linear conversion class for linear-converter.
• rescale: rescales a point given two scales.
• rescale-util: Rescale utilities.
• scale: scales normalised data.
• normalise: normalise data to [0, 1].