defer r.qCache.Unlock()
	v, ok := r.qCache.bucketStats[bucket]
	if !ok {
		v = newInQueueStats(r.registry, bucket)
	}
	atomic.AddInt64(&v.nowBytes, sz)
	atomic.AddInt64(&v.nowCount, 1)
	r.qCache.bucketStats[bucket] = v
	atomic.AddInt64(&r.qCache.srQueueStats.nowBytes, sz)
	atomic.AddInt64(&r.qCache.srQueueStats.nowCount, 1)
}

	return logger.ConsoleLoggerTgt
}

// Stats returns the target statistics.
func (sys *HTTPConsoleLoggerSys) Stats() types.TargetStats {
	return types.TargetStats{
		TotalMessages:  atomic.LoadInt64(&sys.totalMessages),
		FailedMessages: atomic.LoadInt64(&sys.failedMessages),
		QueueLength:    0,
	}
}

// Content returns the console stdout log
func (sys *HTTPConsoleLoggerSys) Content() (logs []log.Entry) {
	sys.RLock()

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package bandwidth

import (
	"sync"
	"sync/atomic"
	"time"
)

const (
	// betaBucket is the weight used to calculate exponential moving average
	betaBucket = 0.1 // Number of averages considered = 1/(1-betaObject)
)

// this server or from the remote.
type Connection struct {
	// NextID is the next ID that can be used (atomic).
	NextID uint64

	// LastPong is last pong time (atomic)
	// Only valid when StateConnected.
	LastPong int64

	// State of the connection (atomic)
	state State

	// Non-atomic
	Remote string
	Local  string

	// ID of this connection instance.
	id uuid.UUID

	opts Opts

	// Once can be used to initialize values for lazy initialization.
	// Should be set before calling Get().
	Once sync.Once

	// Managed values.
	valErr atomic.Pointer[struct {
		v T
		e error
	}]
	lastUpdateMs atomic.Int64
	updating     sync.Mutex
}

// New allocates a new cached value instance. Tt must be initialized with
// `.TnitOnce`.
func New[T any]() *Cache[T] {
	return &Cache[T]{}
}

	}
	logJSON, err := json.Marshal(&entry)
	if err != nil {
		return err
	}
	msg := sarama.ProducerMessage{
		Topic: h.kconfig.Topic,
		Value: sarama.ByteEncoder(logJSON),
	}
	_, _, err = h.producer.SendMessage(&msg)
	if err != nil {
		atomic.StoreInt32(&h.status, statusOffline)
	} else {
		atomic.StoreInt32(&h.status, statusOnline)
	}
	return err
}

// Init initialize kafka target

	Stop()
}

type Server struct {
	ctx        context.Context
	kubeClient kube.Client

	handlers  K8sHandlers
	dataplane MeshDataplane

	isReady *atomic.Value

	cniServerStopFunc func()
}

func NewServer(ctx context.Context, ready *atomic.Value, pluginSocket string, args AmbientArgs) (*Server, error) {
	client, err := buildKubeClient(args.KubeConfig)
	if err != nil {

		}
	}
}

func (wg *WaitGroup) Add(i int32) {
	select {
	case <-wg.done:
		panic("use of an already closed WaitGroup")
	default:
	}
	atomic.AddInt32(&wg.count, i)
}

func (wg *WaitGroup) Done() {
	i := atomic.AddInt32(&wg.count, -1)
	if i == 0 {
		close(wg.done)
	}
}

func (wg *WaitGroup) C() <-chan struct{} {
	return wg.done

// GetRPCStats returns RPC stats, include calls errors and dhcp/tcp metrics
func GetRPCStats() RPCStats {
	s := RPCStats{
		Errs:     atomic.LoadUint64(&globalStats.errs),
		DialErrs: atomic.LoadUint64(&globalStats.tcpDialErrs),
	}
	if v := atomic.LoadUint64(&globalStats.tcpDialCount); v > 0 {
		s.DialAvgDuration = atomic.LoadUint64(&globalStats.tcpDialTotalDur) / v
	}
	return s
}

						}
						PutByteBuffer(resp)
						n++
					}
					atomic.AddInt64(&ops, int64(n))
					atomic.AddInt64(&lat, latency)
				})
				spent := time.Since(t)
				if spent > 0 && n > 0 {
					// Since we are benchmarking n parallel servers we need to multiply by n.
					// This will give an estimate of the total ops/s.
					latency := float64(atomic.LoadInt64(&lat)) / float64(time.Millisecond)