/*
* ProActive Parallel Suite(TM):
* The Open Source library for parallel and distributed
* Workflows & Scheduling, Orchestration, Cloud Automation
* and Big Data Analysis on Enterprise Grids & Clouds.
*
* Copyright (c) 2007 - 2017 ActiveEon
* Contact: contact@activeeon.com
*
* This library is free software: you can redistribute it and/or
* modify it under the terms of the GNU Affero General Public License
* as published by the Free Software Foundation: version 3 of
* the License.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*
* If needed, contact us to obtain a release under GPL Version 2 or 3
* or a different license than the AGPL.
*/
package org.ow2.proactive.scheduler.examples;
import java.io.Serializable;
import org.ow2.proactive.scheduler.common.task.TaskResult;
import org.ow2.proactive.scheduler.common.task.executable.JavaExecutable;
/**
* MonteCarloAverage compute PI using MonteCarlo method.
*
* @author The ProActive Team
*/
public class MonteCarloAverage extends JavaExecutable {
/**
* @see JavaExecutable#execute(org.ow2.proactive.scheduler.common.task.TaskResult[])
*/
@Override
public Serializable execute(TaskResult... results) throws Throwable {
double avrg = 0;
int count = 0;
getOut().print("Parameters are: ");
for (TaskResult res : results) {
if (!res.hadException()) {
getOut().print(res.value() + " ");
avrg += ((Double) (res.value())).doubleValue();
count++;
}
}
Double result = new Double(avrg / count);
getOut().println("Average is: " + result);
return result;
}
}