if m.subroute != nil {
		msg.Flags |= FlagSubroute
	}

	// Send...
	err := m.send(msg)
	if err != nil {
		out <- Response{Err: err}
		return
	}

	// Route directly to output.
	m.respWait = out
}

// RequestStream will send a single payload request and stream back results.
// 'requests' can be nil, in which case only req is sent as input.
// It will however take less resources.

    taskFaker.runTasks()
    assertThat(client.closed).isTrue()
    server.listener.assertExhausted() // Client should not have sent second close.
    client.listener.assertExhausted() // Server should not have sent second close.
  }

  @Test
  fun serverCloseBreaksReadMessageLoop() {
    server.webSocket!!.send("Hello!")
    server.webSocket!!.close(1000, "Bye!")
    assertThat(client.processNextFrame()).isTrue()

    server.send(message3)
    clientListener.assertTextMessage(message3)

    // Empty client to server message.
    val message4 = ""
    client.send(message4)
    serverListener.assertTextMessage(message4)

    // Server to client message that shares context with message1.
    val message5 = message1 + message1
    server.send(message5)
    clientListener.assertTextMessage(message5)

			}
		}()
	}
}

// ZDS protocol is very simple, for every message sent, and ack is sent.
// the ack only has temporal correlation (i.e. it is the first and only ack msg after the message was sent)
// All this to say, that we want to make sure that message to ztunnel are sent from a single goroutine
// so we don't mix messages and acks.
// nolint: unparam

			// Even if there is nothing in the queue.
			if h.batchSize > 1 && time.Since(lastBatchProcess) < time.Second {
				continue
			}
		}

		// if we have reached the count send at once
		// or we have crossed last second before batch was sent, send at once
		lastBatchProcess = time.Now()

		var retries int
		retryIntvl := h.config.RetryIntvl
		if retryIntvl <= 0 {
			retryIntvl = 3 * time.Second
		}

	return nil
}

// IsOnline returns true if the target is online.
func (h *Target) IsOnline(_ context.Context) bool {
	return atomic.LoadInt32(&h.status) == statusOnline
}

// Send log message 'e' to kafka target.
func (h *Target) Send(ctx context.Context, entry interface{}) error {
	if h.store != nil {
		// save the entry to the queue store which will be replayed to the target.
		_, err := h.store.Put(entry)
		return err

        } else {
            Trans2FindFirst2 req = new Trans2FindFirst2( "\\", "*", SmbFile.ATTR_DIRECTORY );
            Trans2FindFirst2Response resp = new Trans2FindFirst2Response();
            tree.send( req, resp );
        }
    }

    /* 0 - not connected
     * 1 - connecting
     * 2 - connected
     * 3 - disconnecting
     */
    int connectionState;
    int uid;
    Vector trees;

    And this path operation will:

    * Send the invoice to the client.
    * Collect the money from the client.
    * Send a notification back to the API user (the external developer), as a callback.
        * At this point is that the API will somehow send a POST request to the
            external API with the notification of the invoice event
            (e.g. "payment successful").
    """

  }

  // Writer methods to enqueue frames. They'll be sent asynchronously by the writer thread.

  override fun send(text: String): Boolean {
    return send(text.encodeUtf8(), OPCODE_TEXT)
  }

  override fun send(bytes: ByteString): Boolean {
    return send(bytes, OPCODE_BINARY)
  }

  @Synchronized private fun send(
    data: ByteString,
    formatOpcode: Int,
  ): Boolean {

      if (!client) return // Nothing to write; servers don't send connection headers!
      if (logger.isLoggable(FINE)) {
        logger.fine(format(">> CONNECTION ${CONNECTION_PREFACE.hex()}"))
      }
      sink.write(CONNECTION_PREFACE)
      sink.flush()
    }
  }

  /** Applies `peerSettings` and then sends a settings ACK. */
  @Throws(IOException::class)