By having "UnivariateStatistic" extend the new "MathArrays.Function"

interface, subclassing "ResizableDoubleArray" is not necessary to achieve
the required functionality (see MATH-894).


git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1410126 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Gilles Sadowski 2012-11-16 00:32:18 +00:00
parent b7555df622
commit 166cfce47f
2 changed files with 4 additions and 56 deletions

View File

@ -79,7 +79,7 @@ public class DescriptiveStatistics implements StatisticalSummary, Serializable {
/**
* Stored data values
*/
private StatArray eDA = new StatArray();
private ResizableDoubleArray eDA = new ResizableDoubleArray();
/** Mean statistic implementation - can be reset by setter. */
private UnivariateStatistic meanImpl = new Mean();
@ -138,7 +138,7 @@ public class DescriptiveStatistics implements StatisticalSummary, Serializable {
*/
public DescriptiveStatistics(double[] initialDoubleArray) {
if (initialDoubleArray != null) {
eDA = new StatArray(initialDoubleArray);
eDA = new ResizableDoubleArray(initialDoubleArray);
}
}
@ -762,55 +762,4 @@ public class DescriptiveStatistics implements StatisticalSummary, Serializable {
dest.skewnessImpl = source.skewnessImpl;
dest.percentileImpl = source.percentileImpl;
}
/**
* Provides a method to compute a statistics on the contents of the
* array.
*/
private static class StatArray extends ResizableDoubleArray {
/** Default constructor. */
public StatArray() {}
/**
* Builds an instance with the same contents as the given array.
*
* @param initialArray Data.
*/
public StatArray(double[] initialArray) {
super(initialArray);
}
/**
* Builds a copy of the given instance.
*
* @param other Array.
* @throws NullArgumentException if the argument is {@code null}.
*/
public StatArray(StatArray other)
throws NullArgumentException {
super(other);
}
/**
* Computes the given statistics from the contents of this array.
*
* @param stat Statistics.
* @return the result of evaluating the statistics on the current
* contents of this array.
*/
public double compute(UnivariateStatistic stat) {
return stat.evaluate(getArrayRef(),
getStartIndex(),
getNumElements());
}
/**
* Creates a copy of this instance.
*
* @return a copy of this instance.
*/
public StatArray copy() {
return new StatArray(this);
}
}
}

View File

@ -17,6 +17,7 @@
package org.apache.commons.math3.stat.descriptive;
import org.apache.commons.math3.exception.MathIllegalArgumentException;
import org.apache.commons.math3.util.MathArrays;
/**
@ -24,8 +25,7 @@ import org.apache.commons.math3.exception.MathIllegalArgumentException;
*
* @version $Id$
*/
public interface UnivariateStatistic {
public interface UnivariateStatistic extends MathArrays.Function {
/**
* Returns the result of evaluating the statistic over the input array.
*
@ -53,5 +53,4 @@ public interface UnivariateStatistic {
* @return a copy of the statistic
*/
UnivariateStatistic copy();
}