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package micro.benchmarks;

import java.util.Random;

import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Warmup;
import org.openjdk.jmh.infra.Blackhole;

Benchmarks cost of Math intrinsics.
/** * Benchmarks cost of Math intrinsics. */
public class MathFunctionBenchmark extends BenchmarkBase { @State(Scope.Benchmark) public static class ThreadState { double[] data = randomDoubles(100); double[] result = new double[100]; double k = data[0]; static double[] randomDoubles(int len) { double[] data = new double[len]; Random r = new Random(); for (int i = 0; i < data.length; i++) { data[i] = r.nextDouble(); } return data; } } @Benchmark @Warmup(iterations = 5) public void mathLog(ThreadState state) { double[] data = state.data; for (int i = 0; i < data.length; i++) { double[] result = state.result; result[i] = Math.log(data[i]); } } @Benchmark @Warmup(iterations = 5) public void mathLog10(ThreadState state) { double[] data = state.data; for (int i = 0; i < data.length; i++) { double[] result = state.result; result[i] = Math.log10(data[i]); } } @Benchmark @Warmup(iterations = 5) public void mathSin(ThreadState state) { double[] data = state.data; for (int i = 0; i < data.length; i++) { double[] result = state.result; result[i] = Math.sin(data[i]); } } @Benchmark @Warmup(iterations = 5) public void mathCos(ThreadState state) { double[] data = state.data; for (int i = 0; i < data.length; i++) { double[] result = state.result; result[i] = Math.cos(data[i]); } } @Benchmark @Warmup(iterations = 5) public void mathTan(ThreadState state) { double[] data = state.data; for (int i = 0; i < data.length; i++) { double[] result = state.result; result[i] = Math.tan(data[i]); } } @Benchmark @Warmup(iterations = 1) public void mathSqrt(ThreadState state, Blackhole blackhole) { blackhole.consume(Math.sqrt(state.k)); } @Benchmark @Warmup(iterations = 1) public void strictMathSqrt(ThreadState state, Blackhole blackhole) { blackhole.consume(StrictMath.sqrt(state.k)); } }