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package de.lmu.ifi.dbs.elki.math.statistics.distribution;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
/**
* Abstract base class for distribution unit testing.
*
* @author Erich Schubert
*/
public class AbstractDistributionTest {
public void checkPDF(Distribution d, double[] x, double[] expected, double err) {
int maxerrlev = Integer.MIN_VALUE;
for(int i = 0; i < x.length; i++) {
double val = d.pdf(x[i]);
if(val == expected[i]) {
continue;
}
double diff = Math.abs(val - expected[i]);
final int errlev = (int) Math.ceil(Math.log10(diff / expected[i]));
maxerrlev = Math.max(errlev, maxerrlev);
if(diff < err || diff / expected[i] < err) {
continue;
}
assertEquals("Error magnitude: 1e" + errlev + " at " + x[i], expected[i], val, err);
}
int given = (int) Math.floor(Math.log10(err * 1.1));
// if (given > maxerrlev) {
// System.err.println("PDF Error for "+d+" magnitude is not tight: expected "+maxerrlev+" got "+given);
// }
assertTrue("Error magnitude is not tight: expected " + maxerrlev + " got " + given, given <= maxerrlev);
}
public void checkCDF(Distribution d, double[] x, double[] expected, double err) {
int maxerrlev = Integer.MIN_VALUE;
for(int i = 0; i < x.length; i++) {
double val = d.cdf(x[i]);
if(val == expected[i]) {
continue;
}
double diff = Math.abs(val - expected[i]);
final int errlev = (int) Math.ceil(Math.log10(diff / expected[i]));
maxerrlev = Math.max(errlev, maxerrlev);
if(diff < err || diff / expected[i] < err) {
continue;
}
assertEquals("Error magnitude: 1e" + errlev + " at " + x[i], expected[i], val, err);
}
int given = (int) Math.floor(Math.log10(err * 1.1));
// if (given > maxerrlev) {
// System.err.println("CDF Error for "+d+" magnitude is not tight: expected "+maxerrlev+" got "+given);
// }
assertTrue("Error magnitude is not tight: expected " + maxerrlev + " got " + given, given <= maxerrlev);
}
public void checkQuantile(Distribution d, double[] x, double[] expected, double err) {
int maxerrlev = Integer.MIN_VALUE;
for(int i = 0; i < x.length; i++) {
double val = d.quantile(x[i]);
if(val == expected[i]) {
continue;
}
double diff = Math.abs(val - expected[i]);
final int errlev = (int) Math.ceil(Math.log10(diff / expected[i]));
maxerrlev = Math.max(errlev, maxerrlev);
if(diff < err || diff / expected[i] < err) {
continue;
}
assertEquals("Error magnitude: 1e" + errlev + " at " + x[i], expected[i], val, err);
}
int given = (int) Math.floor(Math.log10(err * 1.1));
// if (given > maxerrlev) {
// System.err.println("Probit Error for "+d+" magnitude is not tight: expected "+maxerrlev+" got "+given);
// }
assertTrue("Error magnitude is not tight: expected " + maxerrlev + " got " + given, given <= maxerrlev);
}
}
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