new ThreadLocal<Random>() {
        @Override
        protected Random initialValue() {
          return new Random();
        }
      };

  private static final int GOLDEN_PRESENT_KEY = random.get().nextInt();

  @AndroidIncompatible // OutOfMemoryError
  public void testLargeBloomFilterDoesntOverflow() {
    long numBits = Integer.MAX_VALUE;
    numBits++;

    LockFreeBitArray bitArray = new LockFreeBitArray(numBits);

    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;

    Set<Element> set = Sets.newHashSetWithExpectedSize(size);
    while (set.size() < size) {
      set.add(newElement());
    }
    return set;
  }

  private Element newElement() {
    int value = random.nextInt();
    return isUserTypeFast ? new Element(value) : new SlowElement(value);
  }

  static class Element implements Comparable<Element> {
    final int hash;

    Element(int hash) {
      this.hash = hash;

  @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++) {

    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));
    }
    String string = sb.toString();
    sb.setLength(0);
    data = ByteSource.wrap(string.getBytes(charset));
  }

  @Benchmark
  public int timeCopy(int reps) throws IOException {

        for (int i = 0; i < params1.length; i++) {
          if (method.getParameterTypes()[i] == int.class) {
            params1[i] = random.nextInt();
            params2[i] = random.nextInt();
          } else if (method.getParameterTypes()[i] == long.class) {
            params1[i] = random.nextLong();
            params2[i] = random.nextLong();
          } else {

    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

            count++;
        }
        assertTrue(String.valueOf(count), count < 200);
    }

    @Test
    public void test_ReadMultiThread() throws Exception {
        int threadNum = new Random().nextInt(20) + 1;
        System.out.println("Thread num:" + threadNum);

        String indexName = "test-index";
        Client client = runner.client();
        SuggestSettings settings = suggester.settings();

      }
      // We need to ensure that at least 4 bytes have been put into the hasher or else
      // Hasher#hash will throw an ISE.
      int intToPut = random.nextInt();
      for (Hasher hasher : sinksAndControl) {
        hasher.putInt(intToPut);
      }
      for (Sink sink : sinks) {
        HashCode unused = sink.hash();
      }