throw new PACDecodingException("Not a kerberos token");
            }

            int readLow = stream.read() & 0xff;
            int readHigh = stream.read() & 0xff;
            int read = (readHigh << 8) + readLow;
            if (read != 0x01) {
                throw new PACDecodingException("Malformed kerberos token");
            }

        "Expected PairedStats.BYTES = %s, got %s",
        BYTES,
        byteArray.length);
    ByteBuffer buffer = ByteBuffer.wrap(byteArray).order(ByteOrder.LITTLE_ENDIAN);
    Stats xStats = Stats.readFrom(buffer);
    Stats yStats = Stats.readFrom(buffer);
    double sumOfProductsOfDeltas = buffer.getDouble();
    return new PairedStats(xStats, yStats, sumOfProductsOfDeltas);
  }

  private static final long serialVersionUID = 0;

 * has not actually been put in the {@code BloomFilter}.
 *
 * <p>Bloom filters are serializable. They also support a more compact serial representation via the
 * {@link #writeTo} and {@link #readFrom} methods. Both serialized forms will continue to be
 * supported by future versions of this library. However, serial forms generated by newer versions

    checkNotNull(byteArray);
    checkArgument(
        byteArray.length == BYTES,
        "Expected Stats.BYTES = %s remaining , got %s",
        BYTES,
        byteArray.length);
    return readFrom(ByteBuffer.wrap(byteArray).order(ByteOrder.LITTLE_ENDIAN));
  }

  /**
   * Creates a Stats instance from the byte representation read from the given {@link ByteBuffer}.
   *

      bf.put(Ints.toByteArray(i));
    }

    ByteArrayOutputStream out = new ByteArrayOutputStream();
    bf.writeTo(out);

    BloomFilter<byte[]> read =
        BloomFilter.readFrom(new ByteArrayInputStream(out.toByteArray()), funnel);
    assertThat(read).isEqualTo(bf);
    assertThat(read.expectedFpp()).isGreaterThan(0);
  }

  /**