Example usage for org.apache.commons.lang.math NumberUtils min

Introduction

In this page you can find the example usage for org.apache.commons.lang.math NumberUtils min.

Prototype

public static float min(float a, float b, float c) 

Source Link

Document

Gets the minimum of three float values.

If any value is NaN, NaN is returned.

Usage

From source file:com.livinglogic.ul4.Color.java

public Vector<Double> hls() {
    int maxc = NumberUtils.max((int) r, (int) g, (int) b);
    int minc = NumberUtils.min((int) r, (int) g, (int) b);

    double dmaxc = maxc / 255.;
    double dminc = minc / 255.;

    double l = (dminc + dmaxc) / 2.0;

    if (minc == maxc) {
        Vector retVal = new Vector(3);
        retVal.add(new Double(0.0));
        retVal.add(new Double(l));
        retVal.add(new Double(0.0));
        return retVal;
    }/* w w w.  ja  v  a  2  s. co  m*/
    double s = l <= 0.5 ? (dmaxc - dminc) / (dmaxc + dminc) : (dmaxc - dminc) / (2.0 - dmaxc - dminc);

    double rc = (dmaxc - r / 255.) / (dmaxc - dminc);
    double gc = (dmaxc - g / 255.) / (dmaxc - dminc);
    double bc = (dmaxc - b / 255.) / (dmaxc - dminc);

    double h;
    if (r == maxc)
        h = bc - gc;
    else if (g == maxc)
        h = 2.0 + rc - bc;
    else
        h = 4.0 + gc - rc;
    h = (h / 6.0) % 1.0;

    Vector retVal = new Vector(3);
    retVal.add(new Double(h));
    retVal.add(new Double(l));
    retVal.add(new Double(s));
    return retVal;
}

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From source file:com.livinglogic.ul4.Color.java

public Vector<Double> hsv() {
    int maxc = NumberUtils.max((int) r, (int) g, (int) b);
    int minc = NumberUtils.min((int) r, (int) g, (int) b);

    double dmaxc = maxc / 255.;
    double dminc = minc / 255.;

    double v = dmaxc;
    if (minc == maxc) {
        Vector retVal = new Vector(3);
        retVal.add(0.0d);/*from  w  w w .j  ava  2  s. co  m*/
        retVal.add(0.0d);
        retVal.add(v);
        return retVal;
    }
    double s = (dmaxc - dminc) / dmaxc;

    double rc = (dmaxc - r / 255.) / (dmaxc - dminc);
    double gc = (dmaxc - g / 255.) / (dmaxc - dminc);
    double bc = (dmaxc - b / 255.) / (dmaxc - dminc);

    double h;
    if (r == maxc)
        h = bc - gc;
    else if (g == maxc)
        h = 2.0 + rc - bc;
    else
        h = 4.0 + gc - rc;
    h = (h / 6.0) % 1.0;

    Vector retVal = new Vector(3);
    retVal.add(h);
    retVal.add(s);
    retVal.add(v);
    return retVal;
}

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From source file:com.livinglogic.ul4.Color.java

public double lum() {
    int maxc = NumberUtils.max((int) r, (int) g, (int) b);
    int minc = NumberUtils.min((int) r, (int) g, (int) b);

    double dmaxc = maxc / 255.;
    double dminc = minc / 255.;

    return (dminc + dmaxc) / 2.0;
}

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From source file:com.livinglogic.ul4.Color.java

public Color withlum(double lum) {
    int maxc = NumberUtils.max((int) r, (int) g, (int) b);
    int minc = NumberUtils.min((int) r, (int) g, (int) b);

    double dmaxc = maxc / 255.;
    double dminc = minc / 255.;

    double l = (dminc + dmaxc) / 2.0;

    if (minc == maxc)
        return fromhls(0., lum, 0., a);

    double s = l <= 0.5 ? (dmaxc - dminc) / (dmaxc + dminc) : (dmaxc - dminc) / (2.0 - dmaxc - dminc);

    double rc = (dmaxc - r / 255.) / (dmaxc - dminc);
    double gc = (dmaxc - g / 255.) / (dmaxc - dminc);
    double bc = (dmaxc - b / 255.) / (dmaxc - dminc);

    double h;/*  w w w  .j av a 2s  .c o  m*/
    if (r == maxc)
        h = bc - gc;
    else if (g == maxc)
        h = 2.0 + rc - bc;
    else
        h = 4.0 + gc - rc;
    h = (h / 6.0) % 1.0;

    return fromhls(h, lum, s, a);
}

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From source file:org.hydracache.data.partitioning.ConsistentHashNodePartitionTest.java

private void assertUniformedDistribution(final int sampleSize, final ServerNode A, final ServerNode B,
        final ServerNode C, final HashMap<ServerNode, Integer> counterMap) {
    final int maxCounter = NumberUtils.max(counterMap.get(A), counterMap.get(B), counterMap.get(C));
    final int minCounter = NumberUtils.min(counterMap.get(A), counterMap.get(B), counterMap.get(C));

    final int counterDifference = maxCounter - minCounter;

    assertTrue("Distribution difference is greater than 20%", counterDifference < (sampleSize * 0.20));
}

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