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 UniformNumberGeneratorLongTest extends NumberGeneratorTest<Long, Long> { private final long min = 0; private final long max = 5; @Override public double getMeanTolerance() { return 0.1; } @Override public double getDistributionTolerance() { return 0.01; } @Override public Iterator<Long> getGeneratorImpl(GeneratorFactory generatorFactory) { return generatorFactory.uniform(min, max); } @Override public Histogram<Long, Long> getExpectedDistribution() { Histogram<Long, Long> expectedDistribution = new Histogram<>(0l); expectedDistribution.addBucket(new NumberRangeBucket<Long>(Range.closedOpen(-0.5d, 0.5d)), 1l); expectedDistribution.addBucket(new NumberRangeBucket<Long>(Range.closedOpen(0.5d, 1.5d)), 1l); expectedDistribution.addBucket(new NumberRangeBucket<Long>(Range.closedOpen(1.5d, 2.5d)), 1l); expectedDistribution.addBucket(new NumberRangeBucket<Long>(Range.closedOpen(2.5d, 3.5d)), 1l); expectedDistribution.addBucket(new NumberRangeBucket<Long>(Range.closedOpen(3.5d, 4.5d)), 1l); expectedDistribution.addBucket(new NumberRangeBucket<Long>(Range.closed(4.5d, 5.5d)), 1l); return expectedDistribution; } @Override public double getExpectedMean() { return ((double) max - (double) min) / 2; } }