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vecta

v0.0.4

Published

A simple immutable vector library

Downloads

1

Readme

Vecta

Build status Coverage Status

Documentation

An immutable JavaScript/TypeScript 2D vector library.

const vec = new Vecta(5, 10);
const vec1 = new Vecta(2, 3);
const dp = vec.dotProduct(vec1); // 40

console.log(vec); // Vecta { x: 5, y: 10 }

Installation

Install the package using npm:

npm install vecta

Import the package

import { Vecta } from 'vecta';

or for javascript:

const { Vecta } = require('vecta');

Features

TypeScript support

The library is created with TypeScript, so native code completion is supported and well-documented.

Immutable

Other great 2D vector libraries exist - but tend to not be immutable. Vecta is designed to be entirely immutable - x and y values cannot be changed.

Without immutability, you get situations like this:

const vec = new Vector(5, 10);
const vec1 = vec.add(new Vector(2, 3));

vec === vec1; // true (is a Vector { x: 7, y: 13 })

Operators modify the source object instead of creating a copy.

I would expect this to work like primitive mathematics:

const a = 5;
const b = a + 2;

a === b; // false. a = 5, b = 7

And so Vecta tries to accomplish this:

const vec = new Vecta(5, 10);
const vec1 = vec.add(new Vecta(2, 3));

vec === vec1; // false
console.log(vec);  // Vecta { x: 5, y: 10 } 
console.log(vec1); // Vecta { x: 7, y: 13 }

Function chaining

All methods that don't return a scalar (number) result are chainable:

const vec = new Vecta(5, 10)
  .add(new Vecta(2, 3))
  .addScalar(2)
  .divScalar(1, 4)
  .sub(
    Vecta.random(
      new Vecta(-2, 4),
      new Vecta(3, -5)
    )
  )
  .invert()
  .dotProduct(-2, -9); // returns a scalar

Performance

Because a new object is instantiated every time a method is called, performance is going to be worse than other libraries; however, the fact that other libraries change the object's properties means that you will likely be cloning the object several times in your calculations anyways.

All functions have been implemented with simplicity and performance in mind; they attempt cause as little function calls as possible.