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Java example source code file (SynchronizedMultivariateSummaryStatistics.java)

This example Java source code file (SynchronizedMultivariateSummaryStatistics.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

dimensionmismatchexception, mathillegalstateexception, override, realmatrix, storelessunivariatestatistic, string, synchronizedmultivariatesummarystatistics

The SynchronizedMultivariateSummaryStatistics.java Java example source code

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.commons.math3.stat.descriptive;

import org.apache.commons.math3.exception.DimensionMismatchException;
import org.apache.commons.math3.exception.MathIllegalStateException;
import org.apache.commons.math3.linear.RealMatrix;

/**
 * Implementation of
 * {@link org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics} that
 * is safe to use in a multithreaded environment.  Multiple threads can safely
 * operate on a single instance without causing runtime exceptions due to race
 * conditions.  In effect, this implementation makes modification and access
 * methods atomic operations for a single instance.  That is to say, as one
 * thread is computing a statistic from the instance, no other thread can modify
 * the instance nor compute another statistic.
 * @since 1.2
 */
public class SynchronizedMultivariateSummaryStatistics
    extends MultivariateSummaryStatistics {

    /** Serialization UID */
    private static final long serialVersionUID = 7099834153347155363L;

    /**
     * Construct a SynchronizedMultivariateSummaryStatistics instance
     * @param k dimension of the data
     * @param isCovarianceBiasCorrected if true, the unbiased sample
     * covariance is computed, otherwise the biased population covariance
     * is computed
     */
    public SynchronizedMultivariateSummaryStatistics(int k, boolean isCovarianceBiasCorrected) {
        super(k, isCovarianceBiasCorrected);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized void addValue(double[] value) throws DimensionMismatchException {
      super.addValue(value);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized int getDimension() {
        return super.getDimension();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized long getN() {
        return super.getN();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized double[] getSum() {
        return super.getSum();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized double[] getSumSq() {
        return super.getSumSq();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized double[] getSumLog() {
        return super.getSumLog();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized double[] getMean() {
        return super.getMean();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized double[] getStandardDeviation() {
        return super.getStandardDeviation();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized RealMatrix getCovariance() {
        return super.getCovariance();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized double[] getMax() {
        return super.getMax();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized double[] getMin() {
        return super.getMin();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized double[] getGeometricMean() {
        return super.getGeometricMean();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized String toString() {
        return super.toString();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized void clear() {
        super.clear();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized boolean equals(Object object) {
        return super.equals(object);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized int hashCode() {
        return super.hashCode();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized StorelessUnivariateStatistic[] getSumImpl() {
        return super.getSumImpl();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized void setSumImpl(StorelessUnivariateStatistic[] sumImpl)
    throws DimensionMismatchException, MathIllegalStateException {
        super.setSumImpl(sumImpl);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized StorelessUnivariateStatistic[] getSumsqImpl() {
        return super.getSumsqImpl();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized void setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
    throws DimensionMismatchException, MathIllegalStateException {
        super.setSumsqImpl(sumsqImpl);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized StorelessUnivariateStatistic[] getMinImpl() {
        return super.getMinImpl();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized void setMinImpl(StorelessUnivariateStatistic[] minImpl)
    throws DimensionMismatchException, MathIllegalStateException {
        super.setMinImpl(minImpl);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized StorelessUnivariateStatistic[] getMaxImpl() {
        return super.getMaxImpl();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized void setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
    throws DimensionMismatchException, MathIllegalStateException{
        super.setMaxImpl(maxImpl);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized StorelessUnivariateStatistic[] getSumLogImpl() {
        return super.getSumLogImpl();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized void setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
    throws DimensionMismatchException, MathIllegalStateException {
        super.setSumLogImpl(sumLogImpl);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized StorelessUnivariateStatistic[] getGeoMeanImpl() {
        return super.getGeoMeanImpl();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized void setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
    throws DimensionMismatchException, MathIllegalStateException {
        super.setGeoMeanImpl(geoMeanImpl);
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized StorelessUnivariateStatistic[] getMeanImpl() {
        return super.getMeanImpl();
    }

    /**
     * {@inheritDoc}
     */
    @Override
    public synchronized void setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
    throws DimensionMismatchException, MathIllegalStateException {
        super.setMeanImpl(meanImpl);
    }
}

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