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MATH-1158. 

Utility method instead of explicit loop.
This commit is contained in:
Gilles 2016-03-11 04:38:30 +01:00
parent 7530b4bdce
commit a6eda3d8ef
2 changed files with 7 additions and 14 deletions
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14
src/test/java/org/apache/commons/math4/distribution/BetaDistributionTest.java
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@ -321,12 +321,14 @@ public class BetaDistributionTest {
@Test
public void testMomentsSampling() {
RandomGenerator random = new Well1024a(0x7829862c82fec2dal);
final UniformRandomProvider rng = RandomSource.create(RandomSource.WELL_1024_A,
123456789L);
final int numSamples = 1000;
for (final double alpha : alphaBetas) {
for (final double beta : alphaBetas) {
final BetaDistribution betaDistribution = new BetaDistribution(random, alpha, beta);
final double[] observed = new BetaDistribution(alpha, beta).sample(numSamples);
final BetaDistribution betaDistribution = new BetaDistribution(alpha, beta);
final double[] observed = AbstractRealDistribution.sample(numSamples,
betaDistribution.createSampler(rng));
Arrays.sort(observed);
final String distribution = String.format("Beta(%.2f, %.2f)", alpha, beta);
@ -353,11 +355,7 @@ public class BetaDistributionTest {
final BetaDistribution betaDistribution = new BetaDistribution(alpha, beta);
final RealDistribution.Sampler sampler = betaDistribution.createSampler(rng);
final double[] observed = new double[numSamples];
for (int i = 0; i < numSamples; i++) {
observed[i] = sampler.sample();
}
final double[] observed = AbstractRealDistribution.sample(numSamples, sampler);
Assert.assertFalse("G goodness-of-fit test rejected null at alpha = " + level,
gTest(betaDistribution, observed) < level);

7
src/test/java/org/apache/commons/math4/distribution/RealDistributionAbstractTest.java
View File

@ -347,12 +347,7 @@ public abstract class RealDistributionAbstractTest {
final int sampleSize = 1000;
final RealDistribution.Sampler sampler =
distribution.createSampler(RandomSource.create(RandomSource.WELL_19937_C, 123456789L));
final double[] sample = new double[sampleSize];
for (int i = 0; i < sampleSize; i++) {
sample[i] = sampler.sample();
}
final double[] sample = AbstractRealDistribution.sample(sampleSize, sampler);
final double[] quartiles = TestUtils.getDistributionQuartiles(distribution);
final double[] expected = {250, 250, 250, 250};
final long[] counts = new long[4];