/*

* Copyright (c) 2005, 2013, Oracle and/or its affiliates. All rights reserved.

* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.

*

* This code is free software; you can redistribute it and/or modify it

* under the terms of the GNU General Public License version 2 only, as

* published by the Free Software Foundation. Oracle designates this

* particular file as subject to the "Classpath" exception as provided

* by Oracle in the LICENSE file that accompanied this code.

*

* This code is distributed in the hope that it will be useful, but WITHOUT

* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or

* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License

* version 2 for more details (a copy is included in the LICENSE file that

* accompanied this code).

*

* You should have received a copy of the GNU General Public License version

* 2 along with this work; if not, write to the Free Software Foundation,

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package org.sample;

import org.openjdk.jmh.annotations.GenerateMicroBenchmark;

import org.openjdk.jmh.annotations.Scope;

import org.openjdk.jmh.annotations.Setup;

import org.openjdk.jmh.annotations.State;

import java.util.stream.DoubleStream;

@State(Scope.Thread)

public class MyBenchmark {

private static final int POPULATION_SIZE = 30_000_000;

double[] population;

@Setup

public void init() {

population = DoubleStream.generate(Variance::randInt).limit(POPULATION_SIZE).toArray();

}

@GenerateMicroBenchmark

public double testVarianceImperative() {

return Variance.varianceImperative(population);

}

@GenerateMicroBenchmark

public double testVarianceStreams() {

return Variance.varianceStreams(population);

}

@GenerateMicroBenchmark

public double testVarianceForkJoin() {

return Variance.varianceForkJoin(population);

}

}