A*(a-star) pathfinding in TypeScript
npm install astar-typescript
   

#### The A-star search algorithm library in TypeScript
AStar-TypeScript is an A-star pathfinding API written in TypeScript to use for your HTML5 games or other browser-based projects.
This library was influenced and inspired by @qioa - PathFinding.js, @bgrins - javascript-astar, @prettymuchbryce - easystarjs and @redblobgames.
Whether you use this project, have learned something from it, or just like it, please consider supporting it by buying me a coffee.
Select a folder, navigate to it, and clone this repository
with this command-line:
```
git clone https://github.com/digitsensitive/astar-typescript.git
Install the dependencies:
``
yarn install
Run the live example:
``
yarn run-example
`sh`
yarn add astar-typescript
npm install astar-typescript --save
bower install astar-typescript --save
`typescript`
import { AStarFinder } from 'astar-typescript';
`javascript`
let AStarFinder = require('astar-typescript');
`javascript`
define(function (require, exports, module) {
let AStarFinder = require('astar-typescript');
});
Create an astar instance:
`ts`
private aStarInstance: AStarFinder;
Load grid data:
Using an array (hardcoded or from a Tilemap-Editor)
> 0 = walkable
> 1 = not walkable
`ts
let myMatrix = [
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 1],
[0, 0, 1, 1, 0, 1, 1, 0],
[0, 0, 1, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 0, 1, 0],
[1, 1, 1, 0, 1, 0, 1, 0],
[0, 0, 0, 0, 1, 0, 1, 0],
[0, 0, 1, 0, 0, 0, 0, 0]
];
this.aStarInstance = new AStarFinder({
grid: {
matrix: myMatrix
}
});
`
or randomly generated array from width and height
`ts`
this.aStarInstance = new AStarFinder({
grid: {
width: 8,
height: 8
}
});
Get the path:
`ts
let startPos = { x: 0, y: 0 };
let goalPos = { x: 4, y: 5 };
let myPathway = this.aStarInstance.findPath(startPos, goalPos);
`
Additional parameters may be passed to adapt your finder.
If you want to disable diagonal movements:
`ts`
this.aStarInstance = new AStarFinder({
grid: {
width: 8,
height: 8
},
diagonalAllowed: false
});
Set the heuristic function (Manhattan, Euclidean, Chebyshev or Octile):
`ts`
this.aStarInstance = new AStarFinder({
grid: {
width: 8,
height: 8
},
heuristic: 'Manhattan'
});
It is possible to adjust the weight of the heuristic function.weight
For example if you use 0, every heuristic function will return zero.
That is how you can turn A* into Dijkstra’s Algorithm.
Depending on the value you can decide if you prefer speed or accuracy.weight
The lower the is, the lower will the heuristic function get, which will
make the A* slower.
`ts`
this.aStarInstance = new AStarFinder({
grid: {
width: 8,
height: 8
},
weight: 0.7
});
Include or Exclude the start and end node:
`ts`
this.aStarInstance = new AStarFinder({
grid: {
width: 8,
height: 8
},
includeStartNode: true,
includeEndNode: true
});
`ts`
this.aStarInstance = new AStarFinder({
grid: {
width: 8,
height: 8
},
allowPathAsCloseAsPossible: true
});
This library uses Prettier.
The configuration used can be seen in the .prettierrc` file.
More informations about the format options can be found here.
Copyright (c) 2017 - 2023 digitsensitive
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