* simple approach would be for each caller CAS it from null to a Set populated with its
     * exception. But there's another race: If the first thread fails with an exception and a second
     * thread immediately fails with the same exception:
     *
     * Thread1: calls setException(), which returns true, context switch before it can CAS
     * seenExceptionsField to its exception
     *

        Field remarkField = SmbShareInfo.class.getDeclaredField("remark");
        remarkField.setAccessible(true);
        assertEquals("Remark for Share1", remarkField.get(shareInfo));

        // Verify the second entry
        FileEntry entry2 = entries[1];
        assertNotNull(entry2);
        assertEquals("Share2", entry2.getName());
        assertEquals(32, entry2.getType()); // TYPE_PRINTER constant (0x20)
    }

			return
		}
		if pingInterval < 1 {
			writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrInvalidQueryParams), r.URL)
			return
		}
		t := time.NewTicker(time.Duration(pingInterval) * time.Second)
		defer t.Stop()
		emptyEventTicker = t.C
	} else {
		// Deprecated Apr 2023
		t := time.NewTicker(500 * time.Millisecond)
		defer t.Stop()
		keepAliveTicker = t.C
	}

	enc := json.NewEncoder(w)

     * Create error handler with default settings
     *
     * @param statistics statistics tracker
     */
    public RdmaErrorHandler(RdmaStatistics statistics) {
        this(statistics, 3, 1000); // 3 retries with 1 second delay
    }

    /**
     * Handle RDMA connection error and attempt recovery
     *
     * @param connection RDMA connection that encountered error
     * @param error the error that occurred

	for _, api := range APIs {
		list = append(list, madmin.KMSAPI{
			Method:  api.Method,
			Path:    api.Path,
			MaxBody: api.MaxBody,
			Timeout: int64(api.Timeout.Truncate(time.Second).Seconds()),
		})
	}
	return list, nil
}

// Stat returns the current KES status containing a
// list of KES endpoints and the default key ID.

    //    were added to the queue. It's easily possible for one thread to take the head of the
    //    queue, immediately followed by another thread taking the next element in the queue. That
    //    second thread can then dispatch to the subscriber it took before the first thread does.
    //
    // All this makes me really wonder if there's any value in queueing here at all. A dispatcher

	if err != nil {
		t.Fatalf("unable create credential, %s", err)
	}

	globalActiveCred = creds

	globalIAMSys.Init(ctx, objLayer, globalEtcdClient, 2*time.Second)

	// List of test cases for validating http request authentication.
	testCases := []struct {
		req     *http.Request
		s3Error APIErrorCode
	}{
		// When request is unsigned, access denied is returned.

			} else {
				write([]byte{0})
			}
			xioutil.SafeClose(doneCh)
			return
		}
		defer xioutil.SafeClose(doneCh)
		// Initiate ticker after body has been read.
		ticker := time.NewTicker(time.Second * 10)
		defer ticker.Stop()

		for {
			select {
			case <-ticker.C:
				// The done() might have been called
				// concurrently, check for it before we
				// write the filler byte.
				select {

    Serialization.writeMultiset(this, stream);
  }

  /**
   * @serialData the {@code Class<E>} for the enum type, the number of distinct elements, the first
   *     element, its count, the second element, its count, and so on
   */
  @GwtIncompatible // java.io.ObjectInputStream
  private void readObject(ObjectInputStream stream) throws IOException, ClassNotFoundException {
    stream.defaultReadObject();

			client.doListen(ctx, listenCh, v)
			select {
			case <-ctx.Done():
				return
			default:
				// There was error in the REST request, retry after sometime as probably the peer is down.
				time.Sleep(5 * time.Second)
			}
		}
	}()
}

// Trace - send http trace request to peer nodes
func (client *peerRESTClient) Trace(ctx context.Context, traceCh chan<- []byte, traceOpts madmin.ServiceTraceOpts) {
	go func() {