io.druid.benchmark.datagen.RealRoundingDistribution.java Source code

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Here is the source code for io.druid.benchmark.datagen.RealRoundingDistribution.java

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/*
 * Licensed to Metamarkets Group Inc. (Metamarkets) under one
 * or more contributor license agreements. See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership. Metamarkets licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License. You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied. See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

package io.druid.benchmark.datagen;

import org.apache.commons.math3.distribution.AbstractIntegerDistribution;
import org.apache.commons.math3.distribution.AbstractRealDistribution;

/*
 * Rounds the output values from the sample() function of an AbstractRealDistribution.
 */
public class RealRoundingDistribution extends AbstractIntegerDistribution {
    private AbstractRealDistribution realDist;

    public RealRoundingDistribution(AbstractRealDistribution realDist) {
        this.realDist = realDist;
    }

    @Override
    public double probability(int x) {
        return 0;
    }

    @Override
    public double cumulativeProbability(int x) {
        return 0;
    }

    @Override
    public double getNumericalMean() {
        return 0;
    }

    @Override
    public double getNumericalVariance() {
        return 0;
    }

    @Override
    public int getSupportLowerBound() {
        return 0;
    }

    @Override
    public int getSupportUpperBound() {
        return 0;
    }

    @Override
    public boolean isSupportConnected() {
        return false;
    }

    @Override
    public void reseedRandomGenerator(long seed) {
        realDist.reseedRandomGenerator(seed);
    }

    @Override
    public int sample() {
        double randomVal = realDist.sample();
        Long longVal = Math.round(randomVal);
        return longVal.intValue();
    }
}