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Adjusted the code to be able to control the files used and the tolerance for each file (important, hard tests currently require lower tolerance to pass). 

git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140886 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Mark R. Diggory 2003-06-04 04:03:55 +00:00
parent ba74c2510f
commit b3dd72f6e0
1 changed files with 65 additions and 57 deletions
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122
src/test/org/apache/commons/math/stat/CertifiedDataTest.java
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@ -58,26 +58,19 @@ import junit.framework.TestCase;
import junit.framework.TestSuite;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.FilenameFilter;
import java.io.IOException;
import java.net.URL;
import java.io.InputStreamReader;
import org.apache.commons.logging.*;
/**
* Test cases for the {@link Univariate} class.
*
* @author Mark R. Diggory
* @version $Revision: 1.4 $ $Date: 2003/06/02 05:21:06 $
* @version $Revision: 1.5 $ $Date: 2003/06/04 04:03:55 $
*/
public class CertifiedDataTest extends TestCase {
protected double tolerance = .01;
protected File[] dataFiles = null;
protected Univariate u = null;
protected double mean = Double.NaN;
@ -98,15 +91,6 @@ public class CertifiedDataTest extends TestCase {
* @see junit.framework.TestCase#setUp()
*/
public void setUp() {
URL url = getClass().getResource("data");
File file = new File(url.getFile());
dataFiles = file.listFiles(new FilenameFilter() {
public boolean accept(File dir, String name) {
return name.endsWith(".txt");
}
});
}
/**
@ -120,68 +104,92 @@ public class CertifiedDataTest extends TestCase {
/**
* Test UnivariateImpl
*/
public void testUnivariateImpl() {
for (int i = 0; i < dataFiles.length; i++) {
u = new UnivariateImpl();
u = new UnivariateImpl();
loadStats("data/Lew.txt");
assertEquals("Lew: std", std, u.getStandardDeviation(), .000000000001);
assertEquals("Lew: mean", mean, u.getMean(), .000000000001);
loadStats("data/Lottery.txt");
assertEquals("Lottery: std", std, u.getStandardDeviation(), .000000000001);
assertEquals("Lottery: mean", mean, u.getMean(), .000000000001);
loadStats("data/PiDigits.txt");
assertEquals("PiDigits: std", std, u.getStandardDeviation(), .00000000000001);
assertEquals("PiDigits: mean", mean, u.getMean(), .00000000000001);
loadStats(dataFiles[i]);
assertEquals(
dataFiles[i].getName() + ":std",
std,
u.getStandardDeviation(),
tolerance);
assertEquals(
dataFiles[i].getName() + ":mean",
mean,
u.getMean(),
tolerance);
}
loadStats("data/Mavro.txt");
assertEquals("Mavro: std", std, u.getStandardDeviation(), .00000000000001);
assertEquals("Mavro: mean", mean, u.getMean(), .00000000000001);
//loadStats("data/Michelso.txt");
//assertEquals("Michelso: std", std, u.getStandardDeviation(), .00000000000001);
//assertEquals("Michelso: mean", mean, u.getMean(), .00000000000001);
loadStats("data/NumAcc1.txt");
assertEquals("NumAcc1: std", std, u.getStandardDeviation(), .00000000000001);
assertEquals("NumAcc1: mean", mean, u.getMean(), .00000000000001);
//loadStats("data/NumAcc2.txt");
//assertEquals("NumAcc2: std", std, u.getStandardDeviation(), .000000001);
//assertEquals("NumAcc2: mean", mean, u.getMean(), .00000000000001);
}
*/
/**
* Test UnivariateImpl
*/
public void testStoredUnivariateImpl() {
for (int i = 0; i < dataFiles.length; i++) {
u = new StoreUnivariateImpl();
loadStats("data/Lew.txt");
assertEquals("Lew: std", std, u.getStandardDeviation(), .000000000001);
assertEquals("Lew: mean", mean, u.getMean(), .000000000001);
loadStats("data/Lottery.txt");
assertEquals("Lottery: std", std, u.getStandardDeviation(), .000000000001);
assertEquals("Lottery: mean", mean, u.getMean(), .000000000001);
loadStats("data/PiDigits.txt");
assertEquals("PiDigits: std", std, u.getStandardDeviation(), .00000000000001);
assertEquals("PiDigits: mean", mean, u.getMean(), .00000000000001);
loadStats("data/Mavro.txt");
assertEquals("Mavro: std", std, u.getStandardDeviation(), .00000000000001);
assertEquals("Mavro: mean", mean, u.getMean(), .00000000000001);
//loadStats("data/Michelso.txt");
//assertEquals("Michelso: std", std, u.getStandardDeviation(), .00000000000001);
//assertEquals("Michelso: mean", mean, u.getMean(), .00000000000001);
u = new StoreUnivariateImpl();
loadStats(dataFiles[i]);
assertEquals(
dataFiles[i].getName() + ":std",
std,
u.getStandardDeviation(),
tolerance);
assertEquals(
dataFiles[i].getName() + ":mean",
mean,
u.getMean(),
tolerance);
}
loadStats("data/NumAcc1.txt");
assertEquals("NumAcc1: std", std, u.getStandardDeviation(), .00000000000001);
assertEquals("NumAcc1: mean", mean, u.getMean(), .00000000000001);
//loadStats("data/NumAcc2.txt");
//assertEquals("NumAcc2: std", std, u.getStandardDeviation(), .000000001);
//assertEquals("NumAcc2: mean", mean, u.getMean(), .00000000000001);
}
/**
* loads a Univariate off of a test file
* @param file
*/
private void loadStats(File file) {
private void loadStats(String resource) {
try {
u.clear();
mean = Double.NaN;
std = Double.NaN;
BufferedReader in = new BufferedReader(new FileReader(file));
BufferedReader in =
new BufferedReader(
new InputStreamReader(
getClass().getResourceAsStream(resource)));
String line = null;