@snigo.dev/mathx v0.0.6

MathX

Collection of useful math functions for everyday JS development.

Usage

In the terminal:

$ npm install @snigo.dev/mathx

Then in the module:

// JavaScript modules
import { num } from '@snigo.dev/mathx';

const myNum = num('33%'); // 0.33

Motivation

There is always a time in our developer's life when we start noticing some small functions that are just being reused from project to project. Sounds familiar? The only reasonable step from there is to make it a package and reuse them in a centralized manner. Also why not keep it open-source so people can benefit from it as well, and this is exactly what MathX is.

API

MathX.approx()

Checks if the first argument approximately equals to the second argument within delta, the third argument. Tries best to account for precision errors. Returns a boolean.

import { approx } from '@snigo.dev/mathx';

approx(0.34, 0.45, 0.1); // false
approx(0.34, 0.44, 0.1); // true
approx(0.3, 0.2, 0.1); // true

MathX.precision()

Calculates precision of the provided number, including negative precision, aka number of trailing zeros of the integer

import { precision } from '@snigo.dev/mathx';

precision(0.45); // 2
precision('12.300'); // 1
precision(-1.2e-11); // 12
precision(0.45); // 2
precision(0.45); // 2
precision(0.45); // 2
precision(12000000); // -6
precision(1.45e+100); // -98
precision(Infinity); // 0

MathX.mod()

Calculates modulo in the correct way including negative numbers. Fixes so called JavaScript modulo bug: https://web.archive.org/web/20090717035140if_/javascript.about.com/od/problemsolving/a/modulobug.htm

import { mod } from '@snigo.dev/mathx';

mod(-2, 5); // 3
mod(2, -5); // -3
mod(21, 4); // 1

MathX.random()

This one is super obvious and I know that many libraries have it, but still. Generates random number within given range with certain precision. Negative precision will work as well. Returns generated number.

import { random } from '@snigo.dev/mathx';

random([-5, 5], 4); // -4.7824
random([0, 10000], -2); // 2200
random([0, 100], 0); // 71
random(); // 0.897057820671

MathX.round()

Another popular one. Similarly to _.round(), rounds number to certain precision. Negative precision will work as well. Digests strings if needed. Returns a rounded number.

import { round } from '@snigo.dev/mathx';

round('0.45876453', 4); // 0.4588
round(0.1 + 0.2); // 0.3
round(23567, -3); // 24000
round(23567, -2); // 23600
round(23567, -1); // 23570
round(23567, -5); // 0

Note unusual behavior: while many would expect default precision to be 0, MathX.round() uses default precision of 12

MathX.num()

Converts string or number to a certain precision. Understands percentage and do not coerces any other types into number.

import { num } from '@snigo.dev/mathx';

num('3.45e2'); // 345
num(0.1 + 0.2); // 0.3
num('13.359%', 4); // 0.1336
// Be careful with following:
num(true); // NaN
num(null); // NaN
num(); // NaN
num([1]); // NaN