}
	m.RecvSeq++
	return true
}

func (m *muxServer) message(msg message) {
	if debugPrint {
		fmt.Printf("muxServer: received message %d, length %d\n", msg.Seq, len(msg.Payload))
	}
	if !m.checkSeq(msg.Seq) {
		return
	}
	m.recvMu.Lock()
	defer m.recvMu.Unlock()
	if cap(m.inbound) == 0 {
		m.disconnect("did not expect inbound message", true)
		return
	}
	// Note, on EOF no value can be sent.

# MinIO Grid

The MinIO Grid is a package that provides two-way communication between servers.
It uses a single two-way connection to send and receive messages between servers.

It includes built in muxing of concurrent requests as well as congestion handling for streams.

Requests can be "Single Payload" or "Streamed".

Use the MinIO Grid for:

* Small, frequent requests with low latency requirements.

#### Http2Writer

Socket writes are guarded by the Http2Writer. Only one stream can write at a time so that messages are not interleaved. Writes are either made by application-layer threads or the do-stuff-later pool.

### Holding multiple locks

     *
     * @return the command (human) name
     */
    @Nonnull
    String commandName();

    /**
     * Returns the logger to be used during the parsing process.
     *
     * @return the logger instance
     */
    @Nonnull
    Logger logger();

    /**
     * Returns the factory for creating message builders.
     *

	h.logChMu.Lock()
	xioutil.SafeClose(h.logCh)
	h.logCh = nil
	h.logChMu.Unlock()

	if h.producer != nil {
		h.producer.Close()
		h.client.Close()
	}

	// Wait for messages to be sent...
	h.wg.Wait()
}

// New initializes a new logger target which
// sends log over http to the specified endpoint
func New(config Config) *Target {
	target := &Target{

	}
	msg, err := target.toProducerMessage(eventData)
	if err != nil {
		return err
	}
	_, _, err = target.producer.SendMessage(msg)
	return err
}

// sendMultiple sends multiple messages to the kafka.
func (target *KafkaTarget) sendMultiple(events []event.Event) error {
	if target.producer == nil {
		return store.ErrNotConnected
	}
	var msgs []*sarama.ProducerMessage
	for _, event := range events {

internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access

      val responseBuilder =
        Response
          .Builder()
          .protocol(statusLine.protocol)
          .code(statusLine.code)
          .message(statusLine.message)
          .headers(headersReader.readHeaders())

      return when {
        expectContinue && statusLine.code == HTTP_CONTINUE -> {
          null
        }

  private static final String E44 = "4-4";
  private static final int NODE_COUNT = 20;
  private static final int EDGE_COUNT = 20;
  // TODO(user): Consider adding both error messages from here and {@link AbstractNetworkTest}
  // in one class (may be a utility class for error messages).
  private static final String ERROR_PARALLEL_EDGE = "connected by a different edge";
  private static final String ERROR_NEGATIVE_COUNT = "is non-negative";

				VersionID: req.VersionID,
				Objects:   objects,
			},
		},
	}

	if trace != nil {
		entry.Trace = &log.Trace{
			Message:   message,
			Source:    trace,
			Variables: tags,
		}
	} else {
		entry.Message = message
	}

	if anonFlag {
		entry.API.Args.Bucket = HashString(entry.API.Args.Bucket)
		entry.API.Args.Object = HashString(entry.API.Args.Object)