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

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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.

Parameter	Type	Default value	Notes
a	number
b	number
delta	number	0	Optional, defaults to 0

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

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MathX.precision()

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

Parameter	Type	Default value	Notes
number	number

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

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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

Parameter	Type	Default value	Notes
a	number
b	number

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

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

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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.

Parameter	Type	Default value	Notes
range	number[]		Array in [min, max] format
precision	number	12	Optional

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

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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.

Parameter	Type	Default value	Notes
number	number
precision	number	12	Optional

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

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MathX.num()

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

Parameter	Type	Default value	Notes
numberLike	any
precision	number	12	Optional

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