*
 * @author Louis Wasserman
 */
@NullUnmarked
public class HashMultisetAddPresentBenchmark {
  private static final int ARRAY_MASK = 0x0ffff;
  private static final int ARRAY_SIZE = 0x10000;
  List<Multiset<Integer>> multisets = new ArrayList<>(0x10000);
  int[] queries = new int[ARRAY_SIZE];

  @BeforeExperiment
  void setUp() {
    Random random = new Random();
    multisets.clear();
    for (int i = 0; i < ARRAY_SIZE; i++) {

 *
 * @author Louis Wasserman
 */
@NullUnmarked
public class HashMultisetAddPresentBenchmark {
  private static final int ARRAY_MASK = 0x0ffff;
  private static final int ARRAY_SIZE = 0x10000;
  List<Multiset<Integer>> multisets = new ArrayList<>(0x10000);
  int[] queries = new int[ARRAY_SIZE];

  @BeforeExperiment
  void setUp() {
    Random random = new Random();
    multisets.clear();
    for (int i = 0; i < ARRAY_SIZE; i++) {

        }
        return new MeanAndVariance(mean, s / values.length);
      }
    };

    abstract MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm);
  }

  @Param({"100", "10000"})
  int n;

  @Param MeanAlgorithm meanAlgorithm;
  @Param VarianceAlgorithm varianceAlgorithm;

  private final double[][] values = new double[0x100][];

  @BeforeExperiment
  void setUp() {

  @Param private ComparatorType comparator;

  // TODO(kevinb): add 1000000 back when we have the ability to throw
  // NotApplicableException in the expensive comparator case.
  @Param({"100", "10000"})
  private int size;

  @Param private HeapType heap;

  private Queue<Integer> queue;

  private final Random random = new Random();

  @BeforeExperiment
  void setUp() {

    joinHelper(10, 20);
    joinHelper(10, 0, 20);
    joinHelper(0, 10, 20);
    joinHelper(10, 20, 0);
    joinHelper(10, 20, 1);
    joinHelper(1, 1, 1, 1, 1, 1, 1, 1);
    joinHelper(1, 0, 1, 0, 1, 0, 1, 0);
  }

  public void testOnlyOneOpen() throws Exception {
    ByteSource source = newByteSource(0, 50);
    int[] counter = new int[1];
    ByteSource checker =
        new ByteSource() {

 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
final class MathBenchmarking {
  static final int ARRAY_SIZE = 0x10000;
  static final int ARRAY_MASK = 0x0ffff;
  static final Random RANDOM_SOURCE = new Random(314159265358979L);
  static final int MAX_EXPONENT = 100;

  /*
   * Duplicated from LongMath.

      var hostname = inetAddress.hostName
      if (inetAddress is Inet6Address && hostname.contains(':')) {
        // hostname is likely some form representing the IPv6 bytes
        // 2001:0db8:85a3:0000:0000:8a2e:0370:7334
        // 2001:db8:85a3::8a2e:370:7334
        // ::1
        hostname = "[$hostname]"
      }

      val localPort = socket.localPort

    joinHelper(10, 20);
    joinHelper(10, 0, 20);
    joinHelper(0, 10, 20);
    joinHelper(10, 20, 0);
    joinHelper(10, 20, 1);
    joinHelper(1, 1, 1, 1, 1, 1, 1, 1);
    joinHelper(1, 0, 1, 0, 1, 0, 1, 0);
  }

  public void testOnlyOneOpen() throws Exception {
    ByteSource source = newByteSource(0, 50);
    int[] counter = new int[1];
    ByteSource checker =
        new ByteSource() {

/**
 * Benchmarks for certain methods of {@code UnsignedLongs}.
 *
 * @author Eamonn McManus
 */
@NullUnmarked
public class UnsignedLongsBenchmark {
  private static final int ARRAY_SIZE = 0x10000;
  private static final int ARRAY_MASK = 0x0ffff;
  private static final Random randomSource = new Random(314159265358979L);
  private static final long[] longs = new long[ARRAY_SIZE];

 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
final class MathBenchmarking {
  static final int ARRAY_SIZE = 0x10000;
  static final int ARRAY_MASK = 0x0ffff;
  static final Random RANDOM_SOURCE = new Random(314159265358979L);
  static final int MAX_EXPONENT = 100;

  /*
   * Duplicated from LongMath.