/*
 * RandomGaussian.java Copyright (C) 2019. Daniel H. Huson
 *
 *  (Some files contain contributions from other authors, who are then mentioned separately.)
 *
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
 *  (at your option) any later version.
 *
 *  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 General Public License for more details.
 *
 *  You should have received a copy of the GNU General Public License
 *  along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

/**
 * Random numbers from Gaussian distribution
 * @version $Id: RandomGaussian.java,v 1.3 2006-06-06 18:56:04 huson Exp $
 * @author Daniel Huson
 *        9.2003
 */
package jloda.util;

import java.util.Random;

/**
 * Random numbers for Gaussian distribution
 */
public class RandomGaussian {
    private double mean;
    private double stdDev;
    private final Random rand;

    /**
     * construct Gaussian random source with mean 0, std deviation 1
     */
    public RandomGaussian() {
        mean = 0;
        stdDev = 1;
        rand = new Random();
    }

    /**
     * construct Gaussian random source with given mean and std deviation
     *
     * @param mean
     * @param stdDev
     */
    public RandomGaussian(double mean, double stdDev) {
        this.mean = mean;
        this.stdDev = stdDev;
        rand = new Random();
    }

    /**
     * construct Gaussian random source with mean 0, std deviation 1
     */
    public RandomGaussian(int seed) {
        mean = 0;
        stdDev = 1;
        rand = new Random(seed);
    }

    /**
     * construct Gaussian random source with given mean and std deviation
     *
     * @param mean
     * @param stdDev
     */
    public RandomGaussian(double mean, double stdDev, int seed) {
        this.mean = mean;
        this.stdDev = stdDev;
        rand = new Random(seed);
    }

    /**
     * get mean
     *
     * @return mean
     */
    public double getMean() {
        return mean;
    }

    /**
     * sets the mean
     *
     * @param mean
     */
    public void setMean(double mean) {
        this.mean = mean;
    }

    /**
     * gets the set standard deviation
     *
     * @return standard deviation
     */
    public double getStdDev() {
        return stdDev;
    }

    /**
     * sets the standard deviation
     *
     * @param stdDev
     */
    public void setStdDev(double stdDev) {
        this.stdDev = stdDev;
    }

    /**
     * gets the next gaussian value
     *
     * @return next value
     */
    public double nextDouble() {
        return mean + (rand.nextGaussian() * stdDev);
    }

    /**
     * gets the next gaussian value
     *
     * @return next value
     */
    public float nextFloat() {
        return (float) nextDouble();
    }

    /**
     * gets the next gaussian value
     *
     * @return next value
     */
    public int nextInt() {
        return Math.round(nextFloat());
    }

    /**
     * gets the next gaussian value
     *
     * @return next value
     */
    public long nextLong() {
        return Math.round(nextDouble());
    }

    /**
     * sets the seed
     *
     * @param seed
     */
    public void setSeed(long seed) {
        rand.setSeed(seed);
    }
}