UniformNumberGeneratorIntegerTest.java

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 UniformNumberGeneratorIntegerTest extends NumberGeneratorTest<Integer, Long> {
    private final int min = 0;
    private final int max = 5;

    @Override
    public double getMeanTolerance() {
        return 0.1;
    }

    @Override
    public double getDistributionTolerance() {
        return 0.01;
    }

    @Override
    public Iterator<Integer> getGeneratorImpl(GeneratorFactory generatorFactory) {
        return generatorFactory.uniform(min, max);
    }

    @Override
    public Histogram<Integer, Long> getExpectedDistribution() {
        Histogram<Integer, Long> expectedDistribution = new Histogram<Integer, Long>(0l);
        expectedDistribution.addBucket(new NumberRangeBucket<Integer>(Range.closedOpen(0d, 1d)), 1l);
        expectedDistribution.addBucket(new NumberRangeBucket<Integer>(Range.closedOpen(1d, 2d)), 1l);
        expectedDistribution.addBucket(new NumberRangeBucket<Integer>(Range.closedOpen(2d, 3d)), 1l);
        expectedDistribution.addBucket(new NumberRangeBucket<Integer>(Range.closedOpen(3d, 4d)), 1l);
        expectedDistribution.addBucket(new NumberRangeBucket<Integer>(Range.closedOpen(4d, 5d)), 1l);
        expectedDistribution.addBucket(new NumberRangeBucket<Integer>(Range.closed(5d, 6d)), 1l);
        return expectedDistribution;
    }

    @Override
    public double getExpectedMean() {
        return ((double) max - (double) min) / 2;
    }
}