view artifacts/src/main/java/org/dive4elements/river/artifacts/model/sq/SieveArray.java @ 7300:83bb52fa0c32

(issue1529) Be more tolerant in the fitting. The invalid value warning is removed because invalid data is expected there when datapoints are not valid for this KM
author Andre Heinecke <aheinecke@intevation.de>
date Fri, 11 Oct 2013 18:40:33 +0200
parents af13ceeba52a
children 0737573aa9ac
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/* Copyright (C) 2011, 2012, 2013 by Bundesanstalt für Gewässerkunde
 * Software engineering by Intevation GmbH
 *
 * This file is Free Software under the GNU AGPL (>=v3)
 * and comes with ABSOLUTELY NO WARRANTY! Check out the
 * documentation coming with Dive4Elements River for details.
 */

package org.dive4elements.river.artifacts.model.sq;

import java.util.Arrays;

import org.apache.log4j.Logger;

public class SieveArray
{
    private static final Logger log =
        Logger.getLogger(SieveArray.class);

    public static final double EPSILON = 1e-8;

    public static final double [] SIEVE_DIAMETERS = {
        100d,   63d,  31.5d,    16d,
          8d,    4d,     2d,     1d,
        0.5d, 0.25d, 0.125d, 0.063d
    };

    protected double [] loads;
    protected double [] normLoads;

    public SieveArray() {
        loads = new double[SIEVE_DIAMETERS.length+1];
        normLoads = new double[SIEVE_DIAMETERS.length+1];
    }

    public void doSieving(Sieve s) {

        double diameter = s.getDiameter();

        for (int i = 0; i < SIEVE_DIAMETERS.length; ++i) {
            if (diameter >= SIEVE_DIAMETERS[i]) {
                loads[i] += s.getLoad();
                return;
            }
        }
        loads[loads.length-1] += s.getLoad();
    }

    public double totalLoad() {
        double sum = 0d;
        for (double load: loads) {
            sum += load;
        }
        return sum;
    }

    public void calculateNormLoads() {
        double total = totalLoad();
        if (Math.abs(total) < EPSILON) {
            System.arraycopy(loads, 0, normLoads, 0, loads.length);
            return;
        }
        total = 1d/total;
        for (int i = 0; i < normLoads.length; ++i) {
            normLoads[i] = total*loads[i];
        }
        log.debug("calculated norm loads: " + Arrays.toString(normLoads));
    }

    public void adjust(double eight, double four) {
        this.normLoads[4] = eight;
        this.normLoads[5] = four;
    }

    /**
     * Gets the loads for this instance.
     *
     * @return The loads.
     */
    public double[] getLoads() {
        return this.loads;
    }

    /**
     * Gets the loads for this instance.
     *
     * @param index The index to get.
     * @return The loads.
     */
    public double getLoads(int index) {
        return this.loads[index];
    }

    /**
     * Gets the normLoads for this instance.
     *
     * @return The normLoads.
     */
    public double[] getNormLoads() {
        return this.normLoads;
    }

    /**
     * Gets the normLoads for this instance.
     *
     * @param index The index to get.
     * @return The normLoads.
     */
    public double getNormLoads(int index) {
        return this.normLoads[index];
    }

    public double sandNormFraction() {
        double sum = 0d;
        for (int i = 7; i < normLoads.length; ++i) {
            sum += normLoads[i];
        }
        return sum;
    }

    public double coarseNormFraction() {
        double sum = 0d;
        for (int i = 0; i < 4; ++i) {
            sum += normLoads[i];
        }
        return sum;
    }

    public double gravelNormFraction() {
        double sum = 0d;
        for (int i = 4; i < 7; ++i) {
            sum += normLoads[i];
        }
        return sum;
    }
}
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