Example usage for org.apache.commons.lang ArrayUtils toPrimitive

Introduction

In this page you can find the example usage for org.apache.commons.lang ArrayUtils toPrimitive.

Prototype

public static boolean[] toPrimitive(Boolean[] array)

Source Link

Document

Converts an array of object Booleans to primitives.

Usage

From source file:de.codesourcery.jasm16.emulator.devices.impl.RawImage.java

public int[] getUniqueColors() {
    final Set<Integer> result = new HashSet<Integer>();
    for (int i = 0; i < data.length; i++) {
        result.add(data[i]);//ww w  .j av a2s  .c  o m
    }
    return ArrayUtils.toPrimitive(result.toArray(new Integer[result.size()]));
}

From source file:be.ugent.maf.cellmissy.analysis.singlecell.processing.impl.SingleCellStatisticsAnalyzerImpl.java

@Override
public void generateSummaryStatistics(SingleCellAnalysisGroup singleCellAnalysisGroup,
        String statisticalTestName, String parameter) {
    StatisticsCalculator statisticsCalculator = StatisticsTestFactory.getInstance()
            .getStatisticsCalculator(statisticalTestName);
    List<StatisticalSummary> statisticalSummaries = new ArrayList<>();

    singleCellAnalysisGroup.getConditionDataHolders().stream().map((conditionDataHolder) -> {
        Double data[] = null;/*from   w  ww  . j av a 2s.  c o m*/
        if (parameter.equalsIgnoreCase("cell speed")) {
            data = conditionDataHolder.getTrackSpeedsVector();
        } else if (parameter.equals("cell direct")) {
            data = conditionDataHolder.getEndPointDirectionalityRatios();
        }
        return data;
    }).map((data) -> statisticsCalculator
            .getSummaryStatistics(ArrayUtils.toPrimitive(AnalysisUtils.excludeNullValues(data))))
            .forEach((statisticalSummary) -> {
                statisticalSummaries.add(statisticalSummary);
            });
    singleCellAnalysisGroup.setStatisticalSummaries(statisticalSummaries);
}

From source file:de.alpharogroup.wicket.base.util.WicketImageExtensions.java

/**
 * Gets a non caching image from the given wicketId, contentType and the Byte array data.
 * /* ww  w . j ava 2s  . c  om*/
 * @param wicketId
 *            the id from the image for the html template.
 * @param contentType
 *            the content type of the image.
 * @param data
 *            the data for the image as an Byte array.
 * @return the non caching image
 */
public static NonCachingImage getNonCachingImage(final String wicketId, final String contentType,
        final Byte[] data) {
    final byte[] byteArrayData = ArrayUtils.toPrimitive(data);
    return getNonCachingImage(wicketId, contentType, byteArrayData);
}

From source file:com.opengamma.util.timeseries.fast.longint.object.FastArrayLongObjectTimeSeries.java

@SuppressWarnings("unchecked")
public FastArrayLongObjectTimeSeries(final DateTimeNumericEncoding encoding, final Long[] times,
        final T[] values) {
    super(encoding);
    _times = new long[times.length];
    _values = (T[]) new Object[values.length];
    init(ArrayUtils.toPrimitive(times), values);
}

From source file:com.trickl.math.lanczos.TridiagonalMatrix.java

public double[] getEigenvalues(boolean discard_ghosts) {
    if (!computed) {
        compute();/*from w w  w  . j av  a2s  . c  o m*/
    }

    List<Double> eigenvalueList;
    if (discard_ghosts) {
        eigenvalueList = eigval_distinct_noghost;
    } else {
        eigenvalueList = eigval_distinct;
    }

    return ArrayUtils.toPrimitive(eigenvalueList.toArray(new Double[eigenvalueList.size()]));
}

From source file:com.opengamma.util.timeseries.fast.longint.FastArrayLongDoubleTimeSeries.java

public FastArrayLongDoubleTimeSeries(final DateTimeNumericEncoding encoding, final Long[] times,
        final Double[] values) {
    super(encoding);
    _times = new long[times.length];
    _values = new double[values.length];
    init(ArrayUtils.toPrimitive(times), ArrayUtils.toPrimitive(values));
}

From source file:it.acubelab.smaph.entityfilters.LibSvmEntityFilter.java

/**
 * Turns a frature_name-feature_value mapping to an array of features.
 * /*from w  ww  .  j  av  a2  s .  co m*/
 * @param features
 *            the mapping from feature names to feature values.
 * @return an array of feature values.
 */
public static double[] featuresToFtrVectStatic(HashMap<String, Double> features) {

    if (!checkFeatures(features)) {
        for (String ftrName : features.keySet())
            System.err.printf("%s -> %f%n", ftrName, features.get(ftrName));
        throw new RuntimeException("Implementation error -- check the features");
    }

    Vector<Double> ftrValues = new Vector<>();
    for (String ftrName : ftrNames)
        ftrValues.add(getOrDefault(features, ftrName, 0.0));

    return ArrayUtils.toPrimitive(ftrValues.toArray(new Double[] {}));
}

From source file:com.opengamma.util.timeseries.fast.integer.FastArrayIntDoubleTimeSeries.java

public FastArrayIntDoubleTimeSeries(final DateTimeNumericEncoding encoding, final Integer[] times,
        final Double[] values) {
    super(encoding);
    _times = new int[times.length];
    _values = new double[values.length];
    init(ArrayUtils.toPrimitive(times), ArrayUtils.toPrimitive(values));
}

From source file:com.opengamma.util.timeseries.fast.integer.object.FastArrayIntObjectTimeSeries.java

@SuppressWarnings("unchecked")
public FastArrayIntObjectTimeSeries(final DateTimeNumericEncoding encoding, final Integer[] times,
        final T[] values) {
    super(encoding);
    _times = new int[times.length];
    _values = (T[]) new Object[values.length];
    init(ArrayUtils.toPrimitive(times), values);
}

From source file:mil.jpeojtrs.sca.util.PrimitiveArrayUtils.java

public static float[] convertToFloatArray(final Object array) {
    if (array == null) {
        return null;
    }/*from www  . j a va 2  s .c om*/
    if (array instanceof float[]) {
        return (float[]) array;
    }
    if (array instanceof Float[]) {
        return ArrayUtils.toPrimitive((Float[]) array);
    }
    final float[] newArray = new float[Array.getLength(array)];
    for (int i = 0; i < newArray.length; i++) {
        final Number val = (Number) Array.get(array, i);
        newArray[i] = val.floatValue();
    }
    return newArray;
}