// we try hard to make them robust in practice.  We could additionally try to add in a system
    // load timeout multiplier.  Or we could try to use a CPU time bound instead of wall clock time
    // bound.  But these ideas are harder to implement.  We do not try to detect or handle a
    // user-specified -XX:+DisableExplicitGC.
    //
    // TODO(user): Consider using

  private static final ImmutableList<Range<Integer>> RANGES;
  private static final int MIN_BOUND = -2;
  private static final int MAX_BOUND = 2;

  static {
    ImmutableList.Builder<Range<Integer>> builder = ImmutableList.builder();

    builder.add(Range.<Integer>all());

    // Add one-ended ranges
    for (int i = MIN_BOUND; i <= MAX_BOUND; i++) {
      for (BoundType type : BoundType.values()) {

  private static final ImmutableList<Range<Integer>> QUERY_RANGES;

  private static final int MIN_BOUND = -1;
  private static final int MAX_BOUND = 1;

  static {
    ImmutableList.Builder<Range<Integer>> queryBuilder = ImmutableList.builder();

    queryBuilder.add(Range.<Integer>all());

    for (int i = MIN_BOUND; i <= MAX_BOUND; i++) {
      for (BoundType boundType : BoundType.values()) {

			}
		default:
			bts, err = msgp.Skip(bts)
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *MetricDescription) Msgsize() (s int) {

		zb0001, bts, err = msgp.ReadUint8Bytes(bts)
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		(*z) = Flags(zb0001)
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z Flags) Msgsize() (s int) {
	s = msgp.Uint8Size
	return
}

// DecodeMsg implements msgp.Decodable

  private static final ImmutableList<Range<Integer>> RANGES;
  private static final int MIN_BOUND = -1;
  private static final int MAX_BOUND = 1;

  static {
    ImmutableList.Builder<Range<Integer>> builder = ImmutableList.builder();

    builder.add(Range.<Integer>all());

    // Add one-ended ranges
    for (int i = MIN_BOUND; i <= MAX_BOUND; i++) {
      for (BoundType type : BoundType.values()) {

  private static final ImmutableList<Range<Integer>> QUERY_RANGES;

  private static final int MIN_BOUND = -1;
  private static final int MAX_BOUND = 1;

  static {
    ImmutableList.Builder<Range<Integer>> queryBuilder = ImmutableList.builder();

    queryBuilder.add(Range.<Integer>all());

    for (int i = MIN_BOUND; i <= MAX_BOUND; i++) {
      for (BoundType boundType : BoundType.values()) {

  }

  /**
   * Creates and returns a new builder, configured to build {@code MinMaxPriorityQueue} instances
   * that are limited to {@code maximumSize} elements. Each time a queue grows beyond this bound, it
   * immediately removes its greatest element (according to its comparator), which might be the
   * element that was just added.
   */
  @SuppressWarnings("rawtypes") // https://github.com/google/guava/issues/989

				return
			}
		default:
			bts, err = msgp.Skip(bts)
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BatchJobKV) Msgsize() (s int) {
	s = 1 + 4 + msgp.StringPrefixSize + len(z.Key) + 6 + msgp.StringPrefixSize + len(z.Value)
	return
}

   * using a secondary hash (Marsaglia XorShift) to try to find a
   * free slot.
   *
   * The table size is capped because, when there are more threads
   * than CPUs, supposing that each thread were bound to a CPU,
   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of