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Documented and fixed NaN handling. 

git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@141346 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Phil Steitz 2004-06-29 06:06:13 +00:00
parent f776bd2be9
commit 2559dc40db
1 changed files with 12 additions and 17 deletions
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29
src/java/org/apache/commons/math/stat/univariate/summary/Product.java
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@ -17,26 +17,23 @@ package org.apache.commons.math.stat.univariate.summary;
import java.io.Serializable;
import org
.apache
.commons
.math
.stat
.univariate
.AbstractStorelessUnivariateStatistic;
import org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatistic;
/**
* Returns the product for this collection of values.
*
* @version $Revision: 1.18 $ $Date: 2004/06/23 16:26:16 $
* Returns the product of the available values.
* <p>
* If there are no values in the dataset, or any of the values are
* <code>NaN</code>, then <code>NaN</code> is returned.
*
* @version $Revision: 1.19 $ $Date: 2004/06/29 06:06:13 $
*/
public class Product extends AbstractStorelessUnivariateStatistic implements Serializable {
/** Serializable version identifier */
static final long serialVersionUID = 2824226005990582538L;
/** */
private int n = 0;
/**The number of values that have been added */
private long n = 0;
/**
* The current Running Product.
@ -47,7 +44,7 @@ public class Product extends AbstractStorelessUnivariateStatistic implements Ser
* @see org.apache.commons.math.stat.univariate.StorelessUnivariateStatistic#increment(double)
*/
public void increment(final double d) {
if (Double.isNaN(value)) {
if (n == 0) {
value = d;
} else {
value *= d;
@ -79,16 +76,14 @@ public class Product extends AbstractStorelessUnivariateStatistic implements Ser
/**
* Returns the product for this collection of values
*
* @param values Is a double[] containing the values
* @param begin processing at this point in the array
* @param length the number of elements to include
* @return the product values or Double.NaN if the array is empty
* @see org.apache.commons.math.stat.univariate.UnivariateStatistic#evaluate(double[], int, int)
*/
public double evaluate(
final double[] values,
final int begin,
final int length) {
public double evaluate(final double[] values, final int begin, final int length) {
double product = Double.NaN;
if (test(values, begin, length)) {
product = 1.0;