/*
 * 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,
 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
 *
 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
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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);
    }

}