package com.ldbc.driver.generator;
import com.google.common.collect.Range;
import com.ldbc.driver.util.Bucket.NumberRangeBucket;
import com.ldbc.driver.util.Histogram;
import java.util.Iterator;
public class UniformNumberGeneratorDoubleTest extends NumberGeneratorTest<Double, Long> {
private final double min = 0d;
private final double max = 5d;
@Override
public double getMeanTolerance() {
return 0.1;
}
@Override
public double getDistributionTolerance() {
return 0.01;
}
@Override
public Iterator<Double> getGeneratorImpl(GeneratorFactory generatorFactory) {
return generatorFactory.uniform(min, max);
}
@Override
public Histogram<Double, Long> getExpectedDistribution() {
Histogram<Double, Long> expectedDistribution = new Histogram<Double, Long>(0l);
expectedDistribution.addBucket(new NumberRangeBucket<Double>(Range.closedOpen(0d, 1d)), 1l);
expectedDistribution.addBucket(new NumberRangeBucket<Double>(Range.closedOpen(1d, 2d)), 1l);
expectedDistribution.addBucket(new NumberRangeBucket<Double>(Range.closedOpen(2d, 3d)), 1l);
expectedDistribution.addBucket(new NumberRangeBucket<Double>(Range.closedOpen(3d, 4d)), 1l);
expectedDistribution.addBucket(new NumberRangeBucket<Double>(Range.closedOpen(4d, 5d)), 1l);
expectedDistribution.addBucket(new NumberRangeBucket<Double>(Range.closed(5d, 6d)), 0l);
return expectedDistribution;
}
@Override
public double getExpectedMean() {
return ((double) max - (double) min) / 2;
}
}