Difference between revisions of "Jumper"
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'''Jumper''' is a pathfinding library designed for uniform-cost 2D grid-based games. It aims to be lightning '''fast''' and '''lightweight'''. It also features a '''clean public interface''' with chaining features which makes it very friendly and easy to use. | '''Jumper''' is a pathfinding library designed for uniform-cost 2D grid-based games. It aims to be lightning '''fast''' and '''lightweight'''. It also features a '''clean public interface''' with chaining features which makes it very friendly and easy to use. | ||
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== Technical notes == | == Technical notes == | ||
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Jumper implements a lots if search algorithms: A-star, Dijkstra, Breadth-First search, Depth First search and Jump Point search (the fastest amongst all). | Jumper implements a lots if search algorithms: A-star, Dijkstra, Breadth-First search, Depth First search and Jump Point search (the fastest amongst all). | ||
A benchmark program running in console is available on [https://github.com/Yonaba/Jumper-Benchmark Github]. It features a set of 132 maps from the [http://movingai.com/GPPC/ 2012 Grid-based Path Planning Competition]. | A benchmark program running in console is available on [https://github.com/Yonaba/Jumper-Benchmark Github]. It features a set of 132 maps from the [http://movingai.com/GPPC/ 2012 Grid-based Path Planning Competition]. | ||
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== Usage == | == Usage == | ||
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Jumper is '''easy''' to use. Here is a basic example using the latest version available. | Jumper is '''easy''' to use. Here is a basic example using the latest version available. | ||
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local grid = Grid(map) | local grid = Grid(map) | ||
-- Creates a pathfinder object using Jump Point Search | -- Creates a pathfinder object using Jump Point Search | ||
− | local myFinder = Pathfinder('JPS' | + | local myFinder = Pathfinder(grid, 'JPS', walkable) |
-- Define start and goal locations coordinates | -- Define start and goal locations coordinates | ||
Line 58: | Line 54: | ||
Jumper offers '''a lot more options''' to customize the pathfinding behavior. Please, kindly check out the [https://github.com/Yonaba/Jumper/blob/master/README.md Readme] to figure them out. | Jumper offers '''a lot more options''' to customize the pathfinding behavior. Please, kindly check out the [https://github.com/Yonaba/Jumper/blob/master/README.md Readme] to figure them out. | ||
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== Feedback == | == Feedback == | ||
If you have any question, proposal, idea to improve, or if you are just using Jumper in a project, I would love to hear your feedback. Issues/suggestions can be posted on the project [https://github.com/Yonaba/Jumper/issues issue tracker] on Github, or by [http://www.google.com/recaptcha/mailhide/d?k=01HyTvozzFr6QcQ0z5kWMOcg==&c=JKAjCplG02SOWgniiVzypsN1mkpjYjRXjt4Kfdf6g0Q= e-mail]. | If you have any question, proposal, idea to improve, or if you are just using Jumper in a project, I would love to hear your feedback. Issues/suggestions can be posted on the project [https://github.com/Yonaba/Jumper/issues issue tracker] on Github, or by [http://www.google.com/recaptcha/mailhide/d?k=01HyTvozzFr6QcQ0z5kWMOcg==&c=JKAjCplG02SOWgniiVzypsN1mkpjYjRXjt4Kfdf6g0Q= e-mail]. | ||
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== Links == | == Links == | ||
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* [https://github.com/Yonaba/Jumper/blob/master/README.md README.md] | * [https://github.com/Yonaba/Jumper/blob/master/README.md README.md] | ||
* [https://github.com/Yonaba/Jumper-Examples Demos] | * [https://github.com/Yonaba/Jumper-Examples Demos] | ||
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[[Category:Libraries]] | [[Category:Libraries]] |
Latest revision as of 05:58, 25 July 2020
Jumper is a pathfinding library designed for uniform-cost 2D grid-based games. It aims to be lightning fast and lightweight. It also features a clean public interface with chaining features which makes it very friendly and easy to use.
Contents
Technical notes
Jumper implements a lots if search algorithms: A-star, Dijkstra, Breadth-First search, Depth First search and Jump Point search (the fastest amongst all).
A benchmark program running in console is available on Github. It features a set of 132 maps from the 2012 Grid-based Path Planning Competition.
Usage
Jumper is easy to use. Here is a basic example using the latest version available.
-- Usage Example
-- First, set a collision map
local map = {
{0,1,0,1,0 },
{0,1,0,1,0 },
{0,1,1,1,0 },
{0,0,0,0,0 },
}
-- Value for walkable tiles
local walkable = 0
-- Library setup
local Grid = require ("jumper.grid") -- The grid class
local Pathfinder = require ("jumper.pathfinder") -- The pathfinder lass
-- Creates a grid object
local grid = Grid(map)
-- Creates a pathfinder object using Jump Point Search
local myFinder = Pathfinder(grid, 'JPS', walkable)
-- Define start and goal locations coordinates
local startx, starty = 1,1
local endx, endy = 5,1
-- Calculates the path, and its length
local path, length = myFinder:getPath(startx, starty, endx, endy)
if path then
print(('Path found! Length: %.2f'):format(length))
for node, count in path:iter() do
print(('Step: %d - x: %d - y: %d'):format(count, node.x, node.y))
end
end
--> Output:
--> Path found! Length: 8.83
--> Step: 1 - x: 1 - y: 1
--> Step: 2 - x: 1 - y: 3
--> Step: 3 - x: 2 - y: 4
--> Step: 4 - x: 4 - y: 4
--> Step: 5 - x: 5 - y: 3
--> Step: 6 - x: 5 - y: 1
Jumper offers a lot more options to customize the pathfinding behavior. Please, kindly check out the Readme to figure them out.
Feedback
If you have any question, proposal, idea to improve, or if you are just using Jumper in a project, I would love to hear your feedback. Issues/suggestions can be posted on the project issue tracker on Github, or by e-mail.
Links