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improved test coverage 

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@797742 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Luc Maisonobe 2009-07-25 10:58:56 +00:00
parent 648a02f0b4
commit 00589c9975
2 changed files with 166 additions and 1 deletions
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112
src/test/org/apache/commons/math/stat/descriptive/DescriptiveStatisticsTest.java
View File

@ -13,6 +13,8 @@
*/
package org.apache.commons.math.stat.descriptive;
import java.util.Locale;
import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;
@ -42,7 +44,7 @@ public class DescriptiveStatisticsTest extends TestCase {
return new DescriptiveStatistics();
}
public void testSetterInjection() throws Exception {
public void testSetterInjection() {
DescriptiveStatistics stats = createDescriptiveStatistics();
stats.addValue(1);
stats.addValue(3);
@ -52,6 +54,114 @@ public class DescriptiveStatisticsTest extends TestCase {
assertEquals(42, stats.getMean(), 1E-10);
}
public void testCopy() {
DescriptiveStatistics stats = createDescriptiveStatistics();
stats.addValue(1);
stats.addValue(3);
DescriptiveStatistics copy = new DescriptiveStatistics(stats);
assertEquals(2, copy.getMean(), 1E-10);
// Now lets try some new math
stats.setMeanImpl(new deepMean());
copy = stats.copy();
assertEquals(42, copy.getMean(), 1E-10);
}
public void testWindowSize() {
DescriptiveStatistics stats = createDescriptiveStatistics();
stats.setWindowSize(300);
for (int i = 0; i < 100; ++i) {
stats.addValue(i + 1);
}
int refSum = (100 * 101) / 2;
assertEquals(refSum / 100.0, stats.getMean(), 1E-10);
assertEquals(300, stats.getWindowSize());
try {
stats.setWindowSize(-3);
fail("an exception should have been thrown");
} catch (IllegalArgumentException iae) {
// expected
} catch (Exception e) {
fail("wrong exception caught: " + e.getMessage());
}
assertEquals(300, stats.getWindowSize());
stats.setWindowSize(50);
assertEquals(50, stats.getWindowSize());
int refSum2 = refSum - (50 * 51) / 2;
assertEquals(refSum2 / 50.0, stats.getMean(), 1E-10);
}
public void testGetValues() {
DescriptiveStatistics stats = createDescriptiveStatistics();
for (int i = 100; i > 0; --i) {
stats.addValue(i);
}
int refSum = (100 * 101) / 2;
assertEquals(refSum / 100.0, stats.getMean(), 1E-10);
double[] v = stats.getValues();
for (int i = 0; i < v.length; ++i) {
assertEquals(100.0 - i, v[i], 1.0e-10);
}
double[] s = stats.getSortedValues();
for (int i = 0; i < s.length; ++i) {
assertEquals(i + 1.0, s[i], 1.0e-10);
}
assertEquals(12.0, stats.getElement(88), 1.0e-10);
}
public void testToString() {
DescriptiveStatistics stats = createDescriptiveStatistics();
stats.addValue(1);
stats.addValue(2);
stats.addValue(3);
Locale d = Locale.getDefault();
Locale.setDefault(Locale.US);
assertEquals("DescriptiveStatistics:\n" +
"n: 3\n" +
"min: 1.0\n" +
"max: 3.0\n" +
"mean: 2.0\n" +
"std dev: 1.0\n" +
"median: 2.0\n" +
"skewness: 0.0\n" +
"kurtosis: NaN\n", stats.toString());
Locale.setDefault(d);
}
public void testShuffledStatistics() {
// the purpose of this test is only to check the get/set methods
// we are aware shuffling statistics like this is really not
// something sensible to do in production ...
DescriptiveStatistics reference = createDescriptiveStatistics();
DescriptiveStatistics shuffled = createDescriptiveStatistics();
UnivariateStatistic tmp = shuffled.getGeometricMeanImpl();
shuffled.setGeometricMeanImpl(shuffled.getMeanImpl());
shuffled.setMeanImpl(shuffled.getKurtosisImpl());
shuffled.setKurtosisImpl(shuffled.getSkewnessImpl());
shuffled.setSkewnessImpl(shuffled.getVarianceImpl());
shuffled.setVarianceImpl(shuffled.getMaxImpl());
shuffled.setMaxImpl(shuffled.getMinImpl());
shuffled.setMinImpl(shuffled.getSumImpl());
shuffled.setSumImpl(shuffled.getSumsqImpl());
shuffled.setSumsqImpl(tmp);
for (int i = 100; i > 0; --i) {
reference.addValue(i);
shuffled.addValue(i);
}
assertEquals(reference.getMean(), shuffled.getGeometricMean(), 1.0e-10);
assertEquals(reference.getKurtosis(), shuffled.getMean(), 1.0e-10);
assertEquals(reference.getSkewness(), shuffled.getKurtosis(), 1.0e-10);
assertEquals(reference.getVariance(), shuffled.getSkewness(), 1.0e-10);
assertEquals(reference.getMax(), shuffled.getVariance(), 1.0e-10);
assertEquals(reference.getMin(), shuffled.getMax(), 1.0e-10);
assertEquals(reference.getSum(), shuffled.getMin(), 1.0e-10);
assertEquals(reference.getSumsq(), shuffled.getSum(), 1.0e-10);
assertEquals(reference.getGeometricMean(), shuffled.getSumsq(), 1.0e-10);
}
public void testPercentileSetter() throws Exception {
DescriptiveStatistics stats = createDescriptiveStatistics();
stats.addValue(1);

55
src/test/org/apache/commons/math/stat/descriptive/MultivariateSummaryStatisticsTest.java
View File

@ -17,6 +17,8 @@
package org.apache.commons.math.stat.descriptive;
import java.util.Locale;
import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;
@ -69,6 +71,7 @@ public class MultivariateSummaryStatisticsTest extends TestCase {
u.addValue(new double[] { 3, 4 });
assertEquals(2, u.getMean()[0], 1E-14);
assertEquals(3, u.getMean()[1], 1E-14);
assertEquals(2, u.getDimension());
}
public void testSetterIllegalState() throws Exception {
@ -84,6 +87,58 @@ public class MultivariateSummaryStatisticsTest extends TestCase {
// expected
}
}
public void testToString() throws DimensionMismatchException {
MultivariateSummaryStatistics stats = createMultivariateSummaryStatistics(2, true);
stats.addValue(new double[] {1, 3});
stats.addValue(new double[] {2, 2});
stats.addValue(new double[] {3, 1});
Locale d = Locale.getDefault();
Locale.setDefault(Locale.US);
assertEquals("MultivariateSummaryStatistics:\n" +
"n: 3\n" +
"min: 1.0, 1.0\n" +
"max: 3.0, 3.0\n" +
"mean: 2.0, 2.0\n" +
"geometric mean: 1.8171205928321394, 1.8171205928321394\n" +
"sum of squares: 14.0, 14.0\n" +
"sum of logarithms: 1.791759469228055, 1.791759469228055\n" +
"standard deviation: 1.0, 1.0\n" +
"covariance: Array2DRowRealMatrix{{1.0,-1.0},{-1.0,1.0}}\n",
stats.toString());
Locale.setDefault(d);
}
public void testShuffledStatistics() throws DimensionMismatchException {
// the purpose of this test is only to check the get/set methods
// we are aware shuffling statistics like this is really not
// something sensible to do in production ...
MultivariateSummaryStatistics reference = createMultivariateSummaryStatistics(2, true);
MultivariateSummaryStatistics shuffled = createMultivariateSummaryStatistics(2, true);
StorelessUnivariateStatistic[] tmp = shuffled.getGeoMeanImpl();
shuffled.setGeoMeanImpl(shuffled.getMeanImpl());
shuffled.setMeanImpl(shuffled.getMaxImpl());
shuffled.setMaxImpl(shuffled.getMinImpl());
shuffled.setMinImpl(shuffled.getSumImpl());
shuffled.setSumImpl(shuffled.getSumsqImpl());
shuffled.setSumsqImpl(shuffled.getSumLogImpl());
shuffled.setSumLogImpl(tmp);
for (int i = 100; i > 0; --i) {
reference.addValue(new double[] {i, i});
shuffled.addValue(new double[] {i, i});
}
TestUtils.assertEquals(reference.getMean(), shuffled.getGeometricMean(), 1.0e-10);
TestUtils.assertEquals(reference.getMax(), shuffled.getMean(), 1.0e-10);
TestUtils.assertEquals(reference.getMin(), shuffled.getMax(), 1.0e-10);
TestUtils.assertEquals(reference.getSum(), shuffled.getMin(), 1.0e-10);
TestUtils.assertEquals(reference.getSumSq(), shuffled.getSum(), 1.0e-10);
TestUtils.assertEquals(reference.getSumLog(), shuffled.getSumSq(), 1.0e-10);
TestUtils.assertEquals(reference.getGeometricMean(), shuffled.getSumLog(), 1.0e-10);
}
/**
* Bogus mean implementation to test setter injection.