1 files changed, 297 insertions, 0 deletions
diff --git a/src/main/java/org/apache/commons/math3/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java b/src/main/java/org/apache/commons/math3/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java
new file mode 100644
index 0000000..889eb3a
--- /dev/null
+++ b/src/main/java/org/apache/commons/math3/stat/descriptive/SynchronizedMultivariateSummaryStatistics.java
@@ -0,0 +1,297 @@
+/*
+ * 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);
+    }
+}