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@hiogawa/bigdecimal.js

1.0.0-pre.0
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  • License Apache 2.0

JSBI port of bigdecimal.js

Package Exports

  • @hiogawa/bigdecimal.js
  • @hiogawa/bigdecimal.js/lib/bigdecimal.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@hiogawa/bigdecimal.js) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

BigDecimal.js

NPM Version NPM Downloads codecov

BigInt based BigDecimal implementation for Node.js 10.4 and above. This implementation is inspired from java BigDecimal class. This implementation is faster than popular big decimal libraries for most operations. See benchmarks results part below for comparison of each operation.

Advantages of this library

  • Faster than other BigDecimal libraries because of native BigInt
  • Simple API that is almost same with Java's BigDecimal
  • No dependencies
  • Well tested
  • Includes type definition file

Installation

npm install bigdecimal.js

Usage

  • The example usage is given below:
// Single unified constructor for multiple values
const { Big } = require('bigdecimal.js');

// Construct from a string and clone it
const x = Big('1.1111111111111111111111');
const y = new Big(x); // you can also use 'new'

const z = x.add(y);
console.log(z.toString()); // 2.2222222222222222222222

// You can also construct from a number or BigInt:
const u = Big(1.1);
const v = Big(2n);

console.log(u.toString()); // 1.1
console.log(v.toString()); // 2

You can use MathContext to set precision and rounding mode for a specific operation:

const { Big, MC, RoundingMode } = require('bigdecimal.js');

const x = Big('1');
const y = Big('3');

// MC is MathContext constructor that can be used with or without `new`
const res1 = x.divideWithMathContext(y, MC(3)); 
console.log(res1.toString()); // 0.333

const res2 = x.divideWithMathContext(y, new MC(3, RoundingMode.UP));
console.log(res2.toString()); // 0.334

try {
    x.divide(y);
    // throws since full precision is requested but it is not possible
} catch (e) {
    console.log(e); // RangeError: Non-terminating decimal expansion; no exact representable decimal result.
}

Documentation

Testing

  • Install dependencies: npm i
  • Compile: npm run compile
  • Run tests: npm test

Running Benchmarks

There is a benchmark suite that compares

To run the benchmark run npm install and then npm run benchmark.

Benchmark Results

For now, benchmarked against big.js and bigdecimal.

  • Test Machine:

    • M1 2021 MacBook Air
    • 16 GB Ram
    • MacOS Monterey 13.0 (22A380)
  • Update Date: November 19th 2022

  • Library versions used:

    • big.js 6.2.1
    • (this library) bigdecimal.js 1.3.0
    • bigdecimal 0.6.1
    • bignumber.js: 9.1.0
    • decimal.js:10.4.2
  • Each operation is run with fixed set of decimal numbers composed of both simple and complex numbers.

  • Micro benchmark framework used is benchmark. Check out benchmarks folder for source code of benchmarks.

  • For now, benchmarked the following operations, more operations will be added soon.

  • Operations per second(op/s):

Operation Bigdecimal.js Big.js BigNumber.js decimal.js GWTBased
Constructor 43,477 ( - ) 38,808 (-11%) 42,178 (-3%) 42,075 (-3%) 2,812 (-94%)
Add 79,582 ( - ) 18,122 (-77%) 100,120 (+26%) 59,636 (-25%) 89 (-100%)
Subtract 74,226 ( - ) 17,987 (-76%) 95,876 (+29%) 56,405 (-24%) 89 (-100%)
Multiply 498,374 ( - ) 33,113 (-93%) 26,852 (-95%) 79,178 (-84%) 2,695 (-99%)
Divide 15,246 ( - ) 1,129 (-93%) 11,575 (-24%) 13,700 (-10%) 673 (-96%)
Remainder 9,667 ( - ) 3,888 (-60%) 13,541 (+40%) 22,060 (+128%) 2,585 (-73%)
Positive pow 27,675 ( - ) 25 (-100%) 112 (-100%) 3,455 (-88%) 6 (-100%)
Negative pow 5,028 ( - ) 21 (-100%) 109 (-98%) 1,953 (-61%) 276 (-95%)
Abs 781,477 ( - ) 1,396,972 (+79%) 909,314 (+16%) 366,702 (-53%) 14,010 (-98%)
Compare 544,100 ( - ) 1,188,332 (+118%) 776,758 (+43%) 426,463 (-22%) 1,004,854 (+85%)