/*
* File name: CleaningScheduler.java (package eas.simulation.spatial.standardBrains.mdle.testing.pacman)
* Author(s): Funky
* Java version: 6.0
* Generation date: Jan 9, 2011 (3:04:47 PM)
*
* (c) This file and the EAS (Easy Agent Simulation) framework containing it
* is protected by Creative Commons by-nc-sa license. Any altered or
* further developed versions of this file have to meet the agreements
* stated by the license conditions.
*
* In a nutshell
* -------------
* You are free:
* - to Share -- to copy, distribute and transmit the work
* - to Remix -- to adapt the work
*
* Under the following conditions:
* - Attribution -- You must attribute the work in the manner specified by the
* author or licensor (but not in any way that suggests that they endorse
* you or your use of the work).
* - Noncommercial -- You may not use this work for commercial purposes.
* - Share Alike -- If you alter, transform, or build upon this work, you may
* distribute the resulting work only under the same or a similar license to
* this one.
*
* + Detailed license conditions (Germany):
* http://creativecommons.org/licenses/by-nc-sa/3.0/de/
* + Detailed license conditions (unported):
* http://creativecommons.org/licenses/by-nc-sa/3.0/deed.en
*
* This header must be placed in the beginning of any version of this file.
*/
package eas.users.students.danielFunke.pacman;
import java.util.Random;
import eas.math.geometry.Vector2D;
import eas.plugins.masterScheduler.AbstractDefaultMaster;
import eas.simulation.ConstantsSimulation;
import eas.startSetup.ParCollection;
/**
* @author Funky
*
*/
public class CleaningScheduler extends AbstractDefaultMaster<CleaningEnvironment> {
/**
*
*/
private static final long serialVersionUID = 8322687757532774598L;
/* (non-Javadoc)
* @see eas.simulation.AbstractDefaultMaster#generateEnvironments(eas.statistics.ParCollection)
*/
@Override
public CleaningEnvironment[] generateRunnables(ParCollection params) {
CleaningEnvironment env = new CleaningEnvironment(0, params, 29,29,false);
Random rand = new Random(params.getSeed());
int i = 0;
//Cleaning Agents
for (; i < 30; i++) {
env.addCollidingAgent(new CleaningAgent(i, env, params),
new Vector2D(
rand.nextInt(env.getWidth()),
rand.nextInt(env.getHeight())),
0,
new Vector2D(0.5,0.5));
}
//Dirt Agents
for (; i < 40; i++) {
env.addCollidingAgent(new DirtAgent(i, env, params),
new Vector2D(
rand.nextInt(env.getWidth()),
rand.nextInt(env.getHeight())),
0,
new Vector2D(0.5,0.5));
}
return new CleaningEnvironment[] {env};
}
/* (non-Javadoc)
* @see eas.simulation.AbstractDefaultMaster#id()
*/
@Override
public String id() {
return ConstantsSimulation.DEFAULT_MASTER_SCHEDULER_ID + "-MDL2e.cleaning";
}
/* (non-Javadoc)
* @see eas.simulation.AbstractDefaultMaster#runBeforeSim(eas.simulation.AbstractEnvironment, eas.statistics.ParCollection)
*/
@Override
public void runBeforeSimulation(CleaningEnvironment umg, ParCollection params) {
// TODO Auto-generated method stub
super.runBeforeSimulation(umg, params);
Random rand = new Random(params.getSeed());
CleaningEnvironment env = umg;
for (int i = 0; i < env.getWidth(); i++) {
for (int j = 0; j < env.getHeight(); j++) {
Dirt dirt = new Dirt();
dirt.setSchmutzWert((int) Math.round(rand.nextDouble() * 250));
env.addGridObject(dirt, i, j);
}
}
}
}