for (int trial = 0; trial < 100; trial++) {
      byte[] left = new byte[1 + rnd.nextInt(32)];
      rnd.nextBytes(left);
      byte[] right = left.clone();
      assertThat(comparator1.compare(left, right)).isEqualTo(0);
      assertThat(comparator2.compare(left, right)).isEqualTo(0);
      int i = rnd.nextInt(left.length);
      left[i] ^= (byte) (1 + rnd.nextInt(255));
      assertThat(signum(comparator1.compare(left, right)))

    super(checkNotNull(in));
    this.random = checkNotNull(random);
  }

  @Override
  public int read(byte[] b, int off, int len) throws IOException {
    return super.read(b, off, random.nextInt(len) + 1);
  }

            List<ChannelInfo> list = new ArrayList<>(channels);
            return list.get(ThreadLocalRandom.current().nextInt(list.size()));
        }

        // Weighted random selection
        int random = ThreadLocalRandom.current().nextInt(totalWeight);
        int currentWeight = 0;

        for (ChannelInfo channel : channels) {
            currentWeight += channel.getScore();

    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;

    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;

  @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;

  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)

  @BeforeExperiment
  void setUp() throws Exception {
    Random rng = new Random();
    for (int i = 0; i < 0x100; i++) {
      Integer[] array = new Integer[n];
      for (int j = 0; j < n; j++) {
        array[j] = rng.nextInt();
      }
      inputArrays[i] = array;
    }
  }

  @Benchmark
  int arraysSortNoComparator(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {

    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;