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();

    HashFunction getHashFunction() {
      return hashFn;
    }
  }

  // Use a constant seed for all of the benchmarks to ensure apples to apples comparisons.
  private static final int RANDOM_SEED = new Random().nextInt();

  private byte[] testBytes;

  @BeforeExperiment
  void setUp() {
    testBytes = new byte[size];
    new Random(RANDOM_SEED).nextBytes(testBytes);
  }

  @Benchmark

    assertThat(ArbitraryInstances.get(Ticker.class)).isNotNull();
    assertFreshInstanceReturned(Random.class);
    assertEquals(
        ArbitraryInstances.get(Random.class).nextInt(),
        ArbitraryInstances.get(Random.class).nextInt());
  }

  public void testGet_concurrent() {
    assertTrue(ArbitraryInstances.get(BlockingDeque.class).isEmpty());
    assertTrue(ArbitraryInstances.get(BlockingQueue.class).isEmpty());

      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);

    assertThat(ArbitraryInstances.get(Ticker.class)).isNotNull();
    assertFreshInstanceReturned(Random.class);
    assertEquals(
        ArbitraryInstances.get(Random.class).nextInt(),
        ArbitraryInstances.get(Random.class).nextInt());
  }

  public void testGet_concurrent() {
    assertTrue(ArbitraryInstances.get(BlockingDeque.class).isEmpty());
    assertTrue(ArbitraryInstances.get(BlockingQueue.class).isEmpty());

    for (int i = 0; i < heapSize; i++) {
      mmHeap.add(random.nextInt());
    }
    for (int i = 0; i < numberOfModifications; i++) {
      mmHeap.removeAtForTesting(random.nextInt(mmHeap.size()));
      assertIntactUsingSeed(seed, mmHeap);
      mmHeap.add(random.nextInt());
      assertIntactUsingSeed(seed, mmHeap);
    }
  }

  public void testRemoveAt_exhaustive() {

    for (int i = 0; i < heapSize; i++) {
      mmHeap.add(random.nextInt());
    }
    for (int i = 0; i < numberOfModifications; i++) {
      mmHeap.removeAtForTesting(random.nextInt(mmHeap.size()));
      assertIntactUsingSeed(seed, mmHeap);
      mmHeap.add(random.nextInt());
      assertIntactUsingSeed(seed, mmHeap);
    }
  }

  public void testRemoveAt_exhaustive() {

            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();

            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();

        int len = random.nextInt(value.length - off + 1);
        for (PrimitiveSink sink : sinks) {
          sink.putBytes(value, off, len);
        }
      }
    },
    PUT_BYTE_BUFFER() {
      @Override
      void performAction(Random random, Iterable<? extends PrimitiveSink> sinks) {
        byte[] value = new byte[random.nextInt(128)];
        random.nextBytes(value);