b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		v.MarshalMsg(nil)
	}
}

func BenchmarkAppendMsgBatchJobKeyRotateEncryption(b *testing.B) {
	v := BatchJobKeyRotateEncryption{}
	bts := make([]byte, 0, v.Msgsize())
	bts, _ = v.MarshalMsg(bts[0:0])
	b.SetBytes(int64(len(bts)))
	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		bts, _ = v.MarshalMsg(bts[0:0])
	}
}

	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		v.MarshalMsg(nil)
	}
}

func BenchmarkAppendMsgPoolDecommissionInfo(b *testing.B) {
	v := PoolDecommissionInfo{}
	bts := make([]byte, 0, v.Msgsize())
	bts, _ = v.MarshalMsg(bts[0:0])
	b.SetBytes(int64(len(bts)))
	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		bts, _ = v.MarshalMsg(bts[0:0])
	}
}

	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		v.MarshalMsg(nil)
	}
}

func BenchmarkAppendMsgxlMetaDataDirDecoder(b *testing.B) {
	v := xlMetaDataDirDecoder{}
	bts := make([]byte, 0, v.Msgsize())
	bts, _ = v.MarshalMsg(bts[0:0])
	b.SetBytes(int64(len(bts)))
	b.ReportAllocs()
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		bts, _ = v.MarshalMsg(bts[0:0])
	}
}

		newStmt.SQL.WriteString(stmt.SQL.String())
		newStmt.Vars = make([]interface{}, 0, len(stmt.Vars))
		newStmt.Vars = append(newStmt.Vars, stmt.Vars...)
	}

	for k, c := range stmt.Clauses {
		newStmt.Clauses[k] = c
	}

	for k, p := range stmt.Preloads {
		newStmt.Preloads[k] = p
	}

	if len(stmt.Joins) > 0 {
		newStmt.Joins = make([]join, len(stmt.Joins))
		copy(newStmt.Joins, stmt.Joins)
	}

 * API</h2>
 *
 * <p>The successor to Guava's caching API is <a
 * href="https://github.com/ben-manes/caffeine/wiki">Caffeine</a>. Its API is designed to make it a
 * nearly drop-in replacement. Note that it is not available for Android or GWT/J2CL and that it may
 * have <a href="https://github.com/ben-manes/caffeine/wiki/Guava">different (usually better)

 *
 * <p>To force selection of our fallback strategies, we load {@link AbstractFuture} (and all of
 * {@code com.google.common.util.concurrent}) in degenerate class loaders which make certain
 * platform classes unavailable. Then we construct a test suite so we can run the normal
 * AbstractFutureTest test methods in these degenerate classloaders.
 */

@NullUnmarked

	// Add the serverName and poolIndex labels to all non-cluster metrics.
	//
	// Also create metric group maps and set the cache.
	metricsCache := newMetricsCache()
	mgMap := make(map[collectorPath]*MetricsGroup)
	bucketMGMap := make(map[collectorPath]*MetricsGroup)
	for _, mg := range allMetricGroups {
		if !strings.HasPrefix(string(mg.CollectorPath), clusterBasePath) {
			mg.AddExtraLabels(

	return sort.SliceIsSorted(m, m.less)
}

// shallowClone will create a shallow clone of the array objects,
// but object metadata will not be cloned.
func (m metaCacheEntries) shallowClone() metaCacheEntries {
	dst := make(metaCacheEntries, len(m))
	copy(dst, m)
	return dst
}

type metadataResolutionParams struct {
	dirQuorum int // Number if disks needed for a directory to 'exist'.

	// Number of checksum info == total parts.
	xlMeta.Erasure.Checksums = make([]ChecksumInfo, totalParts)
	// total number of parts.
	xlMeta.Parts = make([]ObjectPartInfo, totalParts)
	for i := range totalParts {
		// hard coding hash and algo value for the checksum, Since we are benchmarking the parsing of xl.meta the magnitude doesn't affect the test,
		// The magnitude doesn't make a difference, only the size does.

  @Override
  public int remainingCapacity() {
    return delegate().remainingCapacity();
  }

  @CanIgnoreReturnValue // TODO(kak): consider removing this
  @Override
  public E take() throws InterruptedException {
    return delegate().take();
  }