Set<BytesRef> randomTerms = new HashSet<>();
            for (int i = 0; i < topNSize; i++) {
                randomTerms.add(dict[rand.nextInt(dict.length)]);
            }
            List<StringTerms.Bucket> buckets = new ArrayList<>();
            for (BytesRef term : randomTerms) {
                InternalAggregations subAggs;

  @BeforeExperiment
  void setUp() {
    for (int i = 0; i < ARRAY_SIZE; i++) {
      positiveDoubles[i] = randomPositiveDouble();
      doubles[i] = randomDouble(Long.SIZE);
      factorials[i] = RANDOM_SOURCE.nextInt(100);
    }
  }

  @Benchmark
  long log2(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

    for (int i = 0; i < ARRAY_SIZE; i++) {
      positive[i] = randomPositiveBigInteger(Integer.SIZE - 2).intValue();
      nonzero[i] = randomNonZeroBigInteger(Integer.SIZE - 2).intValue();
      ints[i] = RANDOM_SOURCE.nextInt();
    }
  }

  @Param({"DOWN", "UP", "FLOOR", "CEILING", "HALF_EVEN", "HALF_UP", "HALF_DOWN"})
  RoundingMode mode;

  @Benchmark
  int log2(int reps) {
    int tmp = 0;

    multisets.clear();
    for (int i = 0; i < ARRAY_SIZE; i++) {
      HashMultiset<Integer> multiset = HashMultiset.<Integer>create();
      multisets.add(multiset);
      queries[i] = random.nextInt();
      multiset.add(queries[i]);
    }
  }

  @Benchmark
  int add(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

  public void testDivideRemainderEuclideanProperty() {
    // Use a seed so that the test is deterministic:
    Random r = new Random(0L);
    for (int i = 0; i < 1000000; i++) {
      int dividend = r.nextInt();
      int divisor = r.nextInt();
      // Test that the Euclidean property is preserved:
      assertThat(
              dividend
                  - (divisor * UnsignedInts.divide(dividend, divisor)

    sb.ensureCapacity(size);
    for (int k = 0; k < size; k++) {
      // [9-127) includes all ascii non-control characters
      sb.append((char) (random.nextInt(127 - 9) + 9));
    }
    data = sb.toString();
  }

  @Benchmark
  public long timeCopy(int reps) throws IOException {
    long r = 0;
    String localData = data;

                        }
                    }
                }
                final String nextLink = (String) contentMap.get("@odata.nextLink");
                if (StringUtil.isNotBlank(nextLink)) {
                    processMemberOf(user, groupList, roleList, nextLink);
                }
            } else if (contentMap.containsKey("error")) {

    private int current;

    public ReservedPortRange(int startPort, int endPort) {
        this.startPort = startPort;
        this.endPort = endPort;
        current = startPort + new Random().nextInt(endPort - startPort);
    }

    public List<Integer> getAllocated() {
        return allocated;
    }

    public final Integer getOrAllocate(String id) {

    for (int i = 0; i < reps; i++) {
      dummy += cache.getUnchecked(nextRandomKey());
    }
    requests.addAndGet(reps);
    return dummy;
  }

  private int nextRandomKey() {
    int a = random.nextInt(max);

    /*
     * For example, if concentration=2.0, the following takes the square root of
     * the uniformly-distributed random integer, then truncates any fractional

  void setUp() {
    checkArgument(size > 0, "empty collection not supported");
    Set<Integer> set = new LinkedHashSet<>(size);

    Random random = new Random();
    while (set.size() < size) {
      set.add(random.nextInt());
    }
    List<Integer> list = new ArrayList<>(set);
    inputOrder.arrange(list);
    input = ImmutableList.copyOf(list);
  }

  @Benchmark
  int collections(int reps) {
    int dummy = 0;