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Merge branch 'master' of git://github.com/peterkhayes/HR-Algorithms-M…
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…eetup into peterkhayes-master

Conflicts:
	SliderSolve/src/js/sliderSolver.js
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MrNice committed Mar 25, 2014
2 parents 304ee13 + 3fbfa3b commit 9724807
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19 changes: 19 additions & 0 deletions AStar/LICENSE
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Copyright (C) 2012 Daniel Imms, http://www.growingwiththeweb.com

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.
1 change: 1 addition & 0 deletions AStar/README.md
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Code for the A* visualizer very thankfully stolen from Tyriar (github.com/tyriar).
43 changes: 43 additions & 0 deletions AStar/astar.js
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/*
Hello, algorithmicists! Today we're going to implement the A* search algorithm.
The fundamental unit of this algorithm is the `node`. Nodes represent spaces on the
board, and have the following properties and methods.
Properties:
f: // estimated path length through this node.
g: // shortest path found (so far) from start to this node.
Methods:
indexIn(set): // returns the index of the node in the set, or -1 if not present.
isGoal(): // returns whether the node is the goal.
neighbors(): // returns a list of nodes adjacent to the current one.
calcHeuristic(): // returns the heuristic distance from this node to the goal.
visit(): // tells the visualizer that you've visited the current node. (good for debugging)
You should also note that we've given you the first two lines, defining the closed
and open sets. The closed set is a list of nodes that you've visited already, and
the open set is a list of nodes "on the boundary" - that is, you've visited one of
their neighbors, but you haven't yet processed them. You don't have to mess with
the sets directly - you can also use Node.indexIn(set).
Finally, we've done a little magic with the "neighbors" function, which will allow
the visualizer to retrace your steps and draw the path. Don't worry about this part!
Just be sure to return the goal node once you've found it.
*/

window.solve = function(startNode) {
var open = [startNode];
var closed = [];

var current = startNode;

if (current.isGoal()) {
return current;
}
};



20 changes: 20 additions & 0 deletions AStar/index.htm
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<!DOCTYPE html>
<html>
<head>
<title>Canvas A*</title>
<link href="styles.css" rel="stylesheet" type="text/css" />
<script src='jquery-1.11.0.min.js' type='text/javascript'></script>
</head>
<body>
<section>
<canvas id="astar" oncontextmenu="return false;"></canvas>
<div id="info"></div>
<div>
<button id="run">Run A*</button>
<button id="clear">Clear</button>
</div>
</section>
<script src="scripts.js" type="text/javascript"></script>
<script src="astar.js" type="text/javascript"></script>
</body>
</html>
4 changes: 4 additions & 0 deletions AStar/jquery-1.11.0.min.js

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291 changes: 291 additions & 0 deletions AStar/scripts.js
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/*
* canvas-astar.js
- * MIT licensed
- *
- * Created by Daniel Imms, http://www.growingwiththeweb.com
- */

var CANVAS_WIDTH = 640;
var CANVAS_HEIGHT = 480;
var COST_STRAIGHT = 1;
var COST_DIAGONAL = 1.414;
var MAP_SCALE = 10; // Must be a divisor or CANVAS_WIDTH and CANVAS_HEIGHT
var MAP_WIDTH = CANVAS_WIDTH / MAP_SCALE;
var MAP_HEIGHT = CANVAS_HEIGHT / MAP_SCALE;
var PATH_WIDTH = 4;

var BACKGROUND_COLOR = '#EEE';
var OBSTACLE_COLOR = '#2D2D30';
var PATH_COLOR = '#0C0';
var VISITED_COLOR = '#44F';

var canvas;
var context;
var map;
var start;
var goal;
var isMouseDown;

init();

function init() {
canvas = document.getElementById('astar');
if (canvas && canvas.getContext) {
context = canvas.getContext('2d');
canvas.width = CANVAS_WIDTH;
canvas.height = CANVAS_HEIGHT;

map = [];
start = new Node(0, 0);
goal = new Node(MAP_WIDTH - 1, MAP_HEIGHT - 1);
isMouseDown = false;

registerEvents();
clearMap();
}
}

function registerEvents() {
canvas.addEventListener('mousedown', canvasMouseDown);
canvas.addEventListener('mousemove', canvasMouseMove);
canvas.addEventListener('mouseup', canvasMouseUp);
document.getElementById('run').addEventListener('click', runAStar);
document.getElementById('clear').addEventListener('click', clearMap);
}

function Node(x, y, parent, cost) {
this.x = x;
this.y = y;
this.g = 0;
this.f = 0;
this.parent = parent;
if (parent) {
this.g = parent.g + cost;
}
}

Node.prototype.indexIn = function(set) {
return indexOfNode(set, this);
}
Node.prototype.neighbors = function() {
return neighborNodes(this);
}
Node.prototype.isGoal = function() {
return compareNodes(this, goal);
}
Node.prototype.visit = function() {
return drawVisited(this.x, this.y);
}
Node.prototype.calcHeuristic = function() {
return heuristic(this, goal);
}

function canvasMouseDown(e) {
isMouseDown = true;
placeObstacles(e);
}

function canvasMouseUp() {
isMouseDown = false;
}

function canvasMouseMove(e) {
if (isMouseDown)
placeObstacles(e);
}

function runAStar() {
this.setAttribute('disabled', 'disabled');
clearPath();
aStar(start, goal);
this.removeAttribute('disabled');
}

function placeObstacles(e) {
var mouse = getPosition(e);
mouse.x = Math.floor(mouse.x / MAP_SCALE);
mouse.y = Math.floor(mouse.y / MAP_SCALE);

for (var x = mouse.x - 2; x <= mouse.x + 2; x++) {
for (var y = mouse.y - 2; y <= mouse.y + 2; y++) {
if (e.which == 1) { // left-click
if (isOnMap(x, y) && map[x][y]) {
map[x][y] = false;
drawObstacle(x, y);
}
} else if (e.which == 3) { // right-click
if (isOnMap(x, y) && !map[x][y]) {
map[x][y] = true;
clearObstacle(x, y);
}
}
}
}
}

function aStar() {
var solution = window.solve(start) || start;

draw(solution);
return;
}

function isOnMap(x, y) {
return x >= 0 && x < MAP_WIDTH && y >= 0 && y < MAP_HEIGHT;
}

function getPosition(e) {
var targ;
if (!e)
e = window.event;
if (e.target)
targ = e.target;
else if (e.srcElement)
targ = e.srcElement;
if (targ.nodeType == 3)
targ = targ.parentNode;

var x = e.pageX - $(targ).offset().left;
var y = e.pageY - $(targ).offset().top;

return { 'x': x, 'y': y };
}

function indexOfNode(array, node) {
for (var i = 0; i < array.length; i++) {
if (compareNodes(node, array[i])) {
return i;
}
}
return -1;
}

function compareNodes(nodeA, nodeB) {
return nodeA.x == nodeB.x && nodeA.y == nodeB.y;
}

function heuristic(node, goal) {
return diagonalDistance(node, goal);
}

function manhattanDistance(node, goal) {
return Math.abs(node.x - goal.x) + Math.abs(node.y - goal.y);
}

function diagonalUniformDistance(node, goal) {
return Math.max(Math.abs(node.x - goal.x), Math.abs(node.y - goal.y));
}

function diagonalDistance(node, goal) {
var dmin = Math.min(Math.abs(node.x - goal.x), Math.abs(node.y - goal.y));
var dmax = Math.max(Math.abs(node.x - goal.x), Math.abs(node.y - goal.y));
return COST_DIAGONAL * dmin + COST_STRAIGHT * (dmax - dmin);
}

function euclideanDistance(node, goal) {
return Math.sqrt(Math.abs(node.x - goal.x) ^ 2 + Math.abs(node.y - goal.y) ^ 2);
}

function neighborNodes(n) {
var neighbors = [];
var count = 0;

if (n.x > 0) {
if (map[n.x - 1][n.y])
neighbors[count++] = new Node(n.x - 1, n.y, n, COST_STRAIGHT);
if (n.y > 0 && map[n.x - 1][n.y - 1]) {
if (map[n.x - 1][n.y] && map[n.x][n.y - 1])
neighbors[count++] = new Node(n.x - 1, n.y - 1, n, COST_DIAGONAL);
}
if (n.y < MAP_HEIGHT && map[n.x - 1][n.y + 1]) {
if (map[n.x - 1][n.y] && map[n.x][n.y + 1])
neighbors[count++] = new Node(n.x - 1, n.y + 1, n, COST_DIAGONAL);
}
}
if (n.x < MAP_WIDTH - 1) {
if (map[n.x + 1][n.y])
neighbors[count++] = new Node(n.x + 1, n.y, n, COST_STRAIGHT);
if (n.y > 0 && map[n.x + 1][n.y - 1]) {
if (map[n.x + 1][n.y] && map[n.x][n.y - 1])
neighbors[count++] = new Node(n.x + 1, n.y - 1, n, COST_DIAGONAL);
}
if (n.y < MAP_HEIGHT && map[n.x + 1][n.y + 1]) {
if (map[n.x + 1][n.y] && map[n.x][n.y + 1])
neighbors[count++] = new Node(n.x + 1, n.y + 1, n, COST_DIAGONAL);
}
}
if (n.y > 0 && map[n.x][n.y - 1])
neighbors[count++] = new Node(n.x, n.y - 1, n, COST_STRAIGHT);
if (n.y < MAP_HEIGHT - 1 && map[n.x][n.y + 1])
neighbors[count++] = new Node(n.x, n.y + 1, n, COST_STRAIGHT);

neighbors[count++]
return neighbors;
}

function draw(goalNode) {
drawStartGoal(goalNode.x, goalNode.y);
drawStartGoal(start.x, start.y);

context.beginPath();
context.moveTo((goalNode.x + 0.5) * MAP_SCALE, (goalNode.y + 0.5) * MAP_SCALE);

while (goalNode.parent) {
goalNode = goalNode.parent;
context.lineTo((goalNode.x + 0.5) * MAP_SCALE, (goalNode.y + 0.5) * MAP_SCALE);
}

context.strokeStyle = PATH_COLOR;
context.lineWidth = PATH_WIDTH;
context.stroke();
context.closePath();
}

function clearPath() {
context.fillStyle = BACKGROUND_COLOR;
context.fillRect(0, 0, CANVAS_WIDTH, CANVAS_HEIGHT);
drawObstacles();
}

function clearMap() {
context.fillStyle = BACKGROUND_COLOR;
context.fillRect(0, 0, CANVAS_WIDTH, CANVAS_HEIGHT);

for (var x = 0; x < MAP_WIDTH; x++) {
map[x] = [];
for (var y = 0; y < MAP_HEIGHT; y++) {
map[x][y] = true;
}
}
}

function drawObstacles() {
for (var x = 0; x < MAP_WIDTH; x++) {
for (var y = 0; y < MAP_HEIGHT; y++) {
if (!map[x][y]) {
drawObstacle(x, y);
}
}
}
}

function drawObstacle(x, y) {
drawNode(x, y, OBSTACLE_COLOR);
}

function clearObstacle(x, y) {
drawNode(x, y, BACKGROUND_COLOR);
}

function drawVisited(x, y) {
drawNode(x, y, VISITED_COLOR);
}

function drawStartGoal(x, y) {
drawNode(x, y, PATH_COLOR);
}

function drawNode(x, y, color) {
context.fillStyle = color;
context.fillRect(x * MAP_SCALE, y * MAP_SCALE, MAP_SCALE, MAP_SCALE);
}
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