package com.carrotsearch.hppc.benchmarks;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Fork;
import org.openjdk.jmh.annotations.Level;
import org.openjdk.jmh.annotations.Measurement;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.Param;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.Setup;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Warmup;
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 com.carrotsearch.hppc.XorShift128P;
@Fork(1)
@Warmup(iterations = 5)
@Measurement(iterations = 5)
@State(Scope.Benchmark)
public class B003_HashSet_Contains {
@Param("0.75")
public double loadFactor;
@Param
public Library library;
@Param({"200"})
public int mbOfKeys;
public int [] keys;
public IntSetOps ops;
@Setup(Level.Trial)
public void prepare() {
int keyCount = mbOfKeys * (1024 * 1024) / 4;
keys = new int [keyCount];
XorShift128P rnd = new XorShift128P(0xdeadbeefL);
for (int i = 0; i < keys.length; i++) {
keys[i] = rnd.nextInt(2 * keys.length);
}
ops = library.newIntSet(keys.length, loadFactor);
int[] existing = new int [keyCount];
for (int i = 0; i < keys.length; i++) {
existing[i] = rnd.nextInt(2 * keys.length);
}
ops.bulkAdd(existing);
}
@Benchmark()
@BenchmarkMode(Mode.SingleShotTime)
public Object bulk() {
return ops.bulkContains(keys);
}
public static void main(String[] args) throws RunnerException {
Options opt = new OptionsBuilder().include(B003_HashSet_Contains.class.getSimpleName()).build();
new Runner(opt).run();
}
}