view flys-artifacts/src/main/java/de/intevation/flys/artifacts/model/W.java @ 4241:49cb65d5932d

Improved the historical discharge calculation. The calculation now creates new HistoricalWQKms (new subclass of WQKms). Those WQKms are used to create new facets from (new) type 'HistoricalDischargeCurveFacet'. The chart generator is improved to support those facets.
author Ingo Weinzierl <ingo.weinzierl@intevation.de>
date Wed, 24 Oct 2012 14:34:35 +0200
parents 53d954973610
children bcf25d8c183e
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package de.intevation.flys.artifacts.model;

import de.intevation.flys.utils.DataUtil;

import gnu.trove.TDoubleArrayList;

import org.apache.log4j.Logger;

public class W
extends      NamedObjectImpl
{
    private static Logger log = Logger.getLogger(W.class);

    protected TDoubleArrayList ws;

    public W() {
        ws = new TDoubleArrayList();
    }

    public W(String name) {
        super(name);
        ws = new TDoubleArrayList();
    }

    public W(int capacity) {
        this(capacity, "");
    }

    public W(int capacity, String name) {
        super(name);
        ws = new TDoubleArrayList(capacity);
    }

    public void add(double value) {
        ws.add(value);
    }

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

    public double getW(int idx) {
        return ws.getQuick(idx);
    }

    public double [] getWs() {
        return ws.toNativeArray();
    }

    public double [] get(int idx) {
        return get(idx, new double [1]);
    }

    public double [] get(int idx, double [] dst) {
        dst[0] = ws.getQuick(idx);
        return dst;
    }

    public double minWs() {
        return ws.min();
    }

    public static void removeNaNs(TDoubleArrayList [] arrays) {

        int dest = 0;

        int A = arrays.length;
        int N = arrays[0].size();

        OUTER: for (int i = 0; i < N; ++i) {
            for (int j = 0; j < A; ++j) {
                TDoubleArrayList a = arrays[j];
                double v = a.getQuick(i);
                if (Double.isNaN(v)) {
                    continue OUTER;
                }
                a.setQuick(dest, v);
            }
            ++dest;
        }

        if (dest < N) {
            for (int i = 0; i < A; ++i) {
                arrays[i].remove(dest, N-dest);
            }
        }
    }

    public void removeNaNs() {
        removeNaNs(new TDoubleArrayList [] { ws });
    }

    public boolean guessWaterIncreasing() {
        return guessWaterIncreasing(0.05f);
    }

    public boolean guessWaterIncreasing(float factor) {
        return DataUtil.guessWaterIncreasing(ws, factor);
    }

    public int [] longestIncreasingWRangeIndices() {
        return longestIncreasingWRangeIndices(new int[2]);
    }

    public int [] longestIncreasingWRangeIndices(int [] bounds) {

        int N = size();
        int start = 0;
        int stop  = 0;

        double lastW = Double.MAX_VALUE;

        for (int i = 0; i < N; ++i) {
            double v = ws.getQuick(i);
            if (v <= lastW) {
                if (stop-start > bounds[1]-bounds[0]) {
                    bounds[0] = start;
                    bounds[1] = stop;
                    if (log.isDebugEnabled()) {
                        log.debug("new range: " +
                            bounds[0] + " - " + bounds[1] + " (" +
                            ws.getQuick(bounds[0]) + ", " +
                            ws.getQuick(bounds[1]) + ")");

                    }
                }
                start = stop = i;
            }
            else {
                stop = i;
            }
            lastW = v;
        }

        if (stop-start > bounds[1]-bounds[0]) {
            bounds[0] = start;
            bounds[1] = stop;
            if (log.isDebugEnabled()) {
                log.debug("new range @end: " +
                    bounds[0] + " - " + bounds[1] + " (" +
                    ws.getQuick(bounds[0]) + ", " +
                    ws.getQuick(bounds[1]) + ")");
            }
        }

        return bounds;
    }
}
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