view artifacts/src/main/java/org/dive4elements/river/artifacts/model/LinearInterpolated.java @ 7471:fff862f4ef76

Experimental caching of datacage recommendations. The respective hook is called a lot and running the datacage over and over again when loading data can be expensive. So the generated recommendations are cached for some time. Hopefully this improves the overall speed of loading data from the datacage.
author Sascha L. Teichmann <teichmann@intevation.de>
date Wed, 30 Oct 2013 15:26:21 +0100
parents 1dff8e71c4d6
children a1ceacf15d3a
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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;

import gnu.trove.TDoubleArrayList;

import java.io.Serializable;

import java.util.ArrayList;
import java.util.List;
import java.util.Set;
import java.util.TreeSet;

import org.apache.commons.math.stat.descriptive.moment.StandardDeviation;

import org.dive4elements.river.artifacts.math.Linear;

import org.dive4elements.river.utils.EpsilonComparator;

public class LinearInterpolated
implements   Serializable
{
    public static final double EPSILON = 1e-5;
    public static final double MULTIPLE_STD_DEV = 4d;

    public static final EpsilonComparator CMP = new EpsilonComparator(EPSILON);

    private TDoubleArrayList xs;
    private TDoubleArrayList ys;

    private List<Range> gaps;

    public interface Operator {
        double evaluate(double y1, double y2);
    } // interface Operator

    public static final Operator SUB = new Operator() {
        @Override
        public double evaluate(double y1, double y2) {
            return y1 - y2;
        }
    };

    public static final Operator MAX = new Operator() {
        @Override
        public double evaluate(double y1, double y2) {
            return Math.max(y1, y2);
        }
    };

    public LinearInterpolated() {
        xs = new TDoubleArrayList();
        ys = new TDoubleArrayList();
    }

    public LinearInterpolated(int capacity) {
        xs = new TDoubleArrayList(capacity);
        ys = new TDoubleArrayList(capacity);
    }

    public void add(double x, double y) {
        xs.add(x);
        ys.add(y);
    }

    public int size() {
        return xs.size();
    }

    public void pointsInRange(double from, double to, Set<Double> points) {
        if (from > to) {
            double t = from;
            from = to;
            to = t;
        }
        for (int i = 0, S = size(); i < S; ++i) {
            double x = xs.getQuick(i);
            if (x >= from && x <= to) {
                points.add(x);
            }
        }
    }

    public boolean inGap(double x) {
        if (gaps != null) {
            for (Range gap: gaps) {
                if (gap.inside(x)) {
                    return true;
                }
            }
        }
        return false;
    }

    public void detectGaps(double threshold) {
        List<Range> gabs = new ArrayList<Range>();
        for (int i = 1, S = size(); i < S; ++i) {
            double x0 = xs.getQuick(i-1);
            double x1 = xs.getQuick(i);
            double minX, maxX;
            if (x0 < x1) { minX = x0; maxX = x1; }
            else         { minX = x1; maxX = x0; }
            double diff = maxX - minX - 2d*EPSILON;
            if (diff > threshold) {
                gaps.add(new Range(minX+EPSILON, maxX-EPSILON));
            }
        }
        this.gaps = gaps.isEmpty() ? null : gabs;
    }

    public void resetGaps() {
        gaps = null;
    }

    public double guessGapThreshold() {
        return guessGapThreshold(MULTIPLE_STD_DEV);
    }

    public double guessGapThreshold(double scale) {
        int S = size();
        if (S < 5) { // Too less points.
            return Double.MAX_VALUE;
        }

        StandardDeviation s = new StandardDeviation();

        for (int i = 1; i < S; ++i) {
            double diff = Math.abs(xs.getQuick(i-1) - xs.getQuick(i));
            s.increment(diff);
        }

        return scale*s.getResult();
    }

    public double value(double x) {
        for (int i = 0, S = size(); i < S; ++i) {
            double x1 = xs.getQuick(i);
            if (Math.abs(x1 - x) < EPSILON) {
                return ys.getQuick(i);
            }
            if (i > 0) {
                double x0 = xs.getQuick(i-1);
                double minX, maxX;
                if (x0 < x1) { minX = x0; maxX = x1; }
                else         { minX = x1; maxX = x0; }
                if (x > minX && x < maxX) {
                    return Linear.linear(
                        x,
                        x0, x1,
                        ys.getQuick(i-1), ys.getQuick(i));
                }
            }
        }
        return Double.NaN;
    }

    public LinearInterpolated sub(
        LinearInterpolated other,
        double             from,
        double             to
    ) {
        return apply(SUB, other, from, to);
    }

    public LinearInterpolated max(
        LinearInterpolated other,
        double             from,
        double             to
    ) {
        return apply(MAX, other, from, to);
    }

    public boolean intersect(LinearInterpolated other) {
        if (xs.isEmpty() || other.xs.isEmpty()) {
            return false;
        }

        double tMax = xs.max();
        double oMin = other.xs.min();
        if (tMax < oMin) {
            return false;
        }

        double tMin = xs.min();
        double oMax = other.xs.max();
        return !(tMin > oMax);
    }

    public LinearInterpolated apply(
        Operator           operator,
        LinearInterpolated other,
        double             from,
        double             to
    ) {
        LinearInterpolated result = new LinearInterpolated();
        if (!intersect(other)) {
            return result;
        }

        Set<Double> points = new TreeSet<Double>(CMP);
        points.add(from);
        points.add(to);

        this .pointsInRange(from, to, points);
        other.pointsInRange(from, to, points);


        for (double x: points) {
            if (!inGap(x) && !other.inGap(x)) {
                double y1 = this .value(x);
                double y2 = other.value(x);
                double y  = operator.evaluate(y1, y2);
                if (!Double.isNaN(y)) {
                    result.add(x, y);
                }
            }
        }

        return result;
    }
}
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