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https://github.com/digitsensitive/astar-typescript

A* search algorithm in TypeScript
https://github.com/digitsensitive/astar-typescript

a-star a-star-path-finding a-star-search astar astar-typescript game path-finding pathfinding search-algorithm typescript

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A* search algorithm in TypeScript

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# AStar-Typescript

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#### 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](https://github.com/qiao/PathFinding.js), [@bgrins - javascript-astar](https://github.com/bgrins/javascript-astar), [@prettymuchbryce - easystarjs](https://github.com/prettymuchbryce/easystarjs) and [@redblobgames](https://www.redblobgames.com/pathfinding/a-star/introduction.html).

## Buy me a coffee

Whether you use this project, have learned something from it, or just like it, please consider supporting it by buying me a coffee.



Buy Me A Coffee

## Live example

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
```

## Installation

```sh
yarn add astar-typescript
npm install astar-typescript --save
bower install astar-typescript --save
```

## Import

### TypeScript

```typescript
import { AStarFinder } from 'astar-typescript';
```

### Javascript

```javascript
let AStarFinder = require('astar-typescript');
```

### AMD

```javascript
define(function (require, exports, module) {
let AStarFinder = require('astar-typescript');
});
```

## Basic Usage

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);
```

## Advanced Usage

Additional parameters may be passed to adapt your finder.

### Diagonal movements

If you want to disable `diagonal movements`:

```ts
this.aStarInstance = new AStarFinder({
grid: {
width: 8,
height: 8
},
diagonalAllowed: false
});
```

### Heuristic function

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.
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 `weight` value you can decide if you prefer speed or accuracy.
The lower the `weight` 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
});
```

### Start and End Node

Include or Exclude the `start and end node`:

```ts
this.aStarInstance = new AStarFinder({
grid: {
width: 8,
height: 8
},
includeStartNode: true,
includeEndNode: true
});
```

### Allow path as close as possible

```ts
this.aStarInstance = new AStarFinder({
grid: {
width: 8,
height: 8
},
allowPathAsCloseAsPossible: true
});
```

## Prettier

This library uses [Prettier](https://github.com/prettier/prettier).
The configuration used can be seen in the `.prettierrc` file.
More informations about the format options can be found [here](https://prettier.io/docs/en/options.html).

## License

[MIT License](https://opensource.org/licenses/mit-license.php)

Copyright (c) 2017 - 2023 digitsensitive

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.