.createTestSuite());
    suite.addTest(
        ConcurrentMapTestSuiteBuilder.using(
                new TestStringCacheGenerator(createCacheBuilder().maximumSize(Integer.MAX_VALUE)))
            .named("LocalCache with maximumSize")
            .withFeatures(
                CollectionSize.ANY,
                MapFeature.GENERAL_PURPOSE,

  /** Counts the bytes in the given input stream using skip if possible. */
  private long countBySkipping(InputStream in) throws IOException {
    long count = 0;
    long skipped;
    while ((skipped = skipUpTo(in, Integer.MAX_VALUE)) > 0) {
      count += skipped;
    }
    return count;
  }

  /**
   * Copies the contents of this byte source to the given {@code OutputStream}. Does not close
   * {@code output}.
   *

        .snapshot();
  }

  /**
   * Returns statistics over a dataset containing the given values. The stream will be completely
   * consumed by this method.
   *
   * <p>If you have a {@code Stream<Integer>} rather than an {@code IntStream}, you should collect
   * the values using {@link #toStats()} instead.
   *
   * @param values a series of values
   * @since 28.2 (but only since 33.4.0 in the Android flavor)
   */

        this.flags = WITNESS_REGISTER_IP_NOTIFICATION;
    }
    
    private String generateRegistrationId() {
        return "REG-" + System.currentTimeMillis() + "-" + 
               Integer.toHexString(System.identityHashCode(this));
    }
    
    public long getNextSequenceNumber() {
        return sequenceNumber.incrementAndGet();
    }
    
    public void updateHeartbeat() {

    internal fun readInt(source: BufferedSource): Int {
      try {
        val result = source.readDecimalLong()
        val line = source.readUtf8LineStrict()
        if (result < 0L || result > Integer.MAX_VALUE || line.isNotEmpty()) {
          throw IOException("expected an int but was \"$result$line\"")
        }
        return result.toInt()
      } catch (e: NumberFormatException) {

            case 1:
                /*
                 * Get ASCII hex value and convert to platform dependent
                 * encoding like EBCDIC perhaps
                 */
                b[0] = (byte) (Integer.parseInt(str.substring(i, i + 2), 16) & 0xFF);
                out[j] = new String(b, 0, 1, "ASCII").charAt(0);
                j++;
                i++;
                state = 0;
            }
        }

   *
   * <p><b>Note:</b> The current implementation eagerly allocates storage for {@code size} elements.
   * As a consequence, passing values like {@code Integer.MAX_VALUE} can lead to {@link
   * OutOfMemoryError}.
   *
   * <p><b>Note:</b> if {@code iterable} is a {@link List}, use {@link Lists#partition(List, int)}
   * instead.
   *

   * // Result.writeRowsToOutputStreamFuture() returns a ListenableFuture that resolves to the
   * // number of written rows. openOutputFile() returns a FileOutputStream (which implements
   * // Closeable).
   * ClosingFuture<Integer> rowsFuture2 =
   *     queryFuture.transformAsync(
   *         (closer, result) -> {
   *           FileOutputStream fos = closer.eventuallyClose(openOutputFile(), closingExecutor);

    long[] array = {0L, 1L, 2L};

    List<Byte> bytes = Arrays.asList((byte) 0, (byte) 1, (byte) 2);
    List<Short> shorts = Arrays.asList((short) 0, (short) 1, (short) 2);
    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    short[] array = {(short) 0, (short) 1, (short) 2};

    List<Byte> bytes = Arrays.asList((byte) 0, (byte) 1, (byte) 2);
    List<Short> shorts = Arrays.asList((short) 0, (short) 1, (short) 2);
    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);