for {
				select {
				case <-ctx.Done():
					return
				case watchResp, ok := <-watchCh:
					if !ok {
						time.Sleep(1 * time.Second)
						// Upon an error on watch channel
						// re-init the watch channel.
						goto outerLoop
					}
					if err := watchResp.Err(); err != nil {
						iamLogIf(ctx, err)
						// log and retry.
						time.Sleep(1 * time.Second)

    SidTest.class, NamingTest.class, DfsTest.class, FileAttributesTest.class, EnumTest.class, PipeTest.class, FileOperationsTest.class,
    WatchTest.class, ReadWriteTest.class, ConcurrencyTest.class, RandomAccessFileTest.class, OplockTests.class
} )

public class AllTests {

    private static final Logger log = LoggerFactory.getLogger(AllTests.class);

		return db.CreateInBatches(value, db.CreateBatchSize)
	}

	tx = db.getInstance()
	tx.Statement.Dest = value
	return tx.callbacks.Create().Execute(tx)
}

// CreateInBatches inserts value in batches of batchSize
func (db *DB) CreateInBatches(value interface{}, batchSize int) (tx *DB) {
	reflectValue := reflect.Indirect(reflect.ValueOf(value))

	switch reflectValue.Kind() {
	case reflect.Slice, reflect.Array:

    /** True if either side has cleanly shut down this stream. We shall send no more bytes. */
    var finished: Boolean = false,
  ) : Sink {
    /**
     * Buffer of outgoing data. This batches writes of small writes into this sink as larges frames
     * written to the outgoing connection. Batching saves the (small) framing overhead.
     */
    private val sendBuffer = Buffer()

// is more efficient than decrypting ETags sequentually.
func DecryptETags(ctx context.Context, k *kms.KMS, objects []ObjectInfo) error {
	const BatchSize = 250 // We process the objects in batches - 250 is a reasonable default.
	var (
		metadata = make([]map[string]string, 0, BatchSize)
		buckets  = make([]string, 0, BatchSize)
		names    = make([]string, 0, BatchSize)
	)
	for len(objects) > 0 {