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Diffstat (limited to 'src/main/java/org/apache/commons/math/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java')
-rw-r--r-- | src/main/java/org/apache/commons/math/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java | 299 |
1 files changed, 299 insertions, 0 deletions
diff --git a/src/main/java/org/apache/commons/math/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java b/src/main/java/org/apache/commons/math/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java new file mode 100644 index 0000000..190e092 --- /dev/null +++ b/src/main/java/org/apache/commons/math/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java @@ -0,0 +1,299 @@ +/* + * 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.math.stat.descriptive; + +import org.apache.commons.math.DimensionMismatchException; +import org.apache.commons.math.linear.RealMatrix; + +/** + * Implementation of + * {@link org.apache.commons.math.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 + * @version $Revision: 811685 $ $Date: 2009-09-05 19:36:48 +0200 (sam. 05 sept. 2009) $ + */ +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 { + super.setSumImpl(sumImpl); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized StorelessUnivariateStatistic[] getSumsqImpl() { + return super.getSumsqImpl(); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized void setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl) + throws DimensionMismatchException { + super.setSumsqImpl(sumsqImpl); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized StorelessUnivariateStatistic[] getMinImpl() { + return super.getMinImpl(); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized void setMinImpl(StorelessUnivariateStatistic[] minImpl) + throws DimensionMismatchException { + super.setMinImpl(minImpl); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized StorelessUnivariateStatistic[] getMaxImpl() { + return super.getMaxImpl(); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized void setMaxImpl(StorelessUnivariateStatistic[] maxImpl) + throws DimensionMismatchException { + super.setMaxImpl(maxImpl); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized StorelessUnivariateStatistic[] getSumLogImpl() { + return super.getSumLogImpl(); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized void setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl) + throws DimensionMismatchException { + super.setSumLogImpl(sumLogImpl); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized StorelessUnivariateStatistic[] getGeoMeanImpl() { + return super.getGeoMeanImpl(); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized void setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl) + throws DimensionMismatchException { + super.setGeoMeanImpl(geoMeanImpl); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized StorelessUnivariateStatistic[] getMeanImpl() { + return super.getMeanImpl(); + } + + /** + * {@inheritDoc} + */ + @Override + public synchronized void setMeanImpl(StorelessUnivariateStatistic[] meanImpl) + throws DimensionMismatchException { + super.setMeanImpl(meanImpl); + } + +} |