}
        return totalReceiveTime.get() / (double) receives / 1000.0; // Convert to microseconds
    }

    /**
     * Calculate total throughput in MB/s based on total time
     *
     * @param totalTimeSeconds total elapsed time in seconds
     * @return throughput in MB/s
     */
    public double getThroughputMBps(double totalTimeSeconds) {
        if (totalTimeSeconds <= 0.0) {
            return 0.0;

        long total = requestsSent.get();
        if (total == 0)
            return 0.0;
        return (double) errors.get() / total;
    }

    /**
     * Get throughput in bytes per second
     *
     * @return throughput in bps
     */
    public long getThroughput() {
        long duration = System.currentTimeMillis() - establishedTime;
        if (duration == 0)
            return 0;

    
    SmbFile file = new SmbFile("smb://server/share/largefile.dat", context);
    
    // Measure single channel throughput
    long singleChannelTime = measureReadTime(file, false);
    
    // Measure multi-channel throughput
    long multiChannelTime = measureReadTime(file, true);
    
    // Multi-channel should be faster

- Performance testing infrastructure

## Success Metrics

1. **Functional Completeness**: All features pass Windows Protocol Test Suite
2. **Performance**: 
   - Multi-channel provides >1.5x throughput improvement
   - RDMA reduces latency by >50%
3. **Reliability**: 
   - Persistent handles survive 99% of network interruptions
   - Witness protocol achieves <5 second failover time

	}, nil
}

// To collect RX stats during "mc support perf net"
// RXSample holds the RX bytes for the duration between
// the last peer to connect and the first peer to disconnect.
// This is to improve the RX throughput accuracy.
type netPerfRX struct {
	RX                uint64    // RX bytes
	lastToConnect     time.Time // time at which last peer to connect to us

 * threads. By default, this ordering is not guaranteed. However, a queue constructed with fairness
 * set to {@code true} grants threads access in FIFO order. Fairness generally decreases throughput
 * but reduces variability and avoids starvation.
 *
 * <p>This class and its iterator implement all of the optional methods of the {@link
 * Collection} and {@link Iterator} interfaces.
 *
 * @author Doug Lea

		}, idx, *client.host)
	}
	nerrs := ng.Wait()
	if freeze {
		freezeServices()
	} else {
		unfreezeServices()
	}
	return nerrs
}

// Netperf - perform mesh style network throughput test
func (sys *NotificationSys) Netperf(ctx context.Context, duration time.Duration) []madmin.NetperfNodeResult {
	length := len(sys.allPeerClients)
	if length == 0 {
		// For single node erasure setup.

 *   <li>Lifecycle management using {@code @PostConstruct} and {@code @PreDestroy} annotations</li>
 * </ul>
 *
 * <p>Components can be registered in two ways:
 * <ul>
 *   <li>As singletons, where one instance is shared throughout the container's lifecycle</li>
 *   <li>As prototypes, where a new instance is created each time the component is requested</li>
 * </ul>
 *

    assertThat(cache.asMap().keySet()).containsExactly(2, 4);

    CacheTesting.processPendingNotifications(cache);
    assertThat(removalListener.getCount()).isEqualTo(2);

    // Should we pepper more of these calls throughout the above? Where?
    CacheTesting.checkValidState(cache);
  }

  /**
   * Tests that when a single entry exceeds the segment's max weight, the new entry is immediately
   * evicted and nothing else.
   */

- **Bean introspection** - The comprehensive `BeanDesc` system provides metadata about JavaBeans, accessed through `BeanDescFactory.getBeanDesc(Class)`
- **Type safety** - Extensive use of generics and null-safe operations throughout the API
- **Resource management** - Proper handling of resources with utilities like `CloseableUtil` and `DisposableUtil`

### Key Architectural Patterns