MonteCarloAverage.java

/*
 * 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;
    }

}