/*
 * Copyright (c) 2009-2020, Peter Abeles. All Rights Reserved.
 *
 * This file is part of Efficient Java Matrix Library (EJML).
 *
 * Licensed 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 org.ejml.dense.row.decomposition.bidiagonal;

import org.ejml.data.DMatrixRMaj;
import org.ejml.dense.row.RandomMatrices_DDRM;
import org.openjdk.jmh.annotations.*;
import org.openjdk.jmh.runner.Runner;
import org.openjdk.jmh.runner.RunnerException;
import org.openjdk.jmh.runner.options.Options;
import org.openjdk.jmh.runner.options.OptionsBuilder;

import java.util.Random;
import java.util.concurrent.TimeUnit;

@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MILLISECONDS)
@Warmup(iterations = 2)
@Measurement(iterations = 5)
@State(Scope.Benchmark)
@Fork(value = 2)
public class BenchmarkDecompositionBidiagonal_MT_DDRM {
    //    @Param({"100", "500", "1000", "5000", "10000"})
    @Param({"1000"})
    public int size;

    public DMatrixRMaj S, T;

    BidiagonalDecompositionRow_MT_DDRM decompRow = new BidiagonalDecompositionRow_MT_DDRM();
    BidiagonalDecompositionTall_MT_DDRM decompTall = new BidiagonalDecompositionTall_MT_DDRM();

    @Setup
    public void setup() {
        Random rand = new Random(234);

        S = RandomMatrices_DDRM.rectangle(size, size, -1, 1, rand);
        T = RandomMatrices_DDRM.rectangle(size*10, size/10, -1, 1, rand);
    }

    @Benchmark
    public void row_square() {
        decompRow.decompose(S.copy());
    }

    @Benchmark
    public void row_tall() {
        decompRow.decompose(T.copy());
    }

    @Benchmark
    public void tall_square() {
        decompTall.decompose(S.copy());
    }

    @Benchmark
    public void tall_tall() {
        decompTall.decompose(T.copy());
    }

    public static void main( String[] args ) throws RunnerException {
        Options opt = new OptionsBuilder()
                .include(BenchmarkDecompositionBidiagonal_MT_DDRM.class.getSimpleName())
                .build();

        new Runner(opt).run();
    }
}
