import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.locks.LockSupport;
import junit.framework.AssertionFailedError;
import junit.framework.TestCase;

import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.locks.LockSupport;
import junit.framework.AssertionFailedError;
import junit.framework.TestCase;

 * generated today may <i>not</i> be readable by a binary that was compiled 6 months ago).
 *
 * <p>As of Guava 23.0, this class is thread-safe and lock-free. It internally uses atomics and
 * compare-and-swap to ensure correctness when multiple threads are used to access it.
 *
 * @param <T> the type of instances that the {@code BloomFilter} accepts
 * @author Dimitris Andreou
 * @author Kevin Bourrillion

		duration := time.Since(startTime)

		atomic.AddUint64(&p.operations[s], 1)
		if s < scannerMetricLastRealtime {
			p.latency[s].addSize(duration, int64(sz))
		}
	}
}

// incTime will increment time on metric s with a specific duration.
// Use for s < scannerMetricLastRealtime
func (p *scannerMetrics) incTime(s scannerMetric, d time.Duration) {
	atomic.AddUint64(&p.operations[s], 1)

}

// TargetList - holds list of targets indexed by target ID.
type TargetList struct {
	// The number of concurrent async Send calls to all targets
	currentSendCalls  atomic.Int64
	totalEvents       atomic.Int64
	eventsSkipped     atomic.Int64
	eventsErrorsTotal atomic.Int64

	sync.RWMutex
	targets map[TargetID]Target
	queue   chan asyncEvent
	ctx     context.Context

	statLock    sync.RWMutex

	scannerCycle                         = uatomic.NewDuration(dataScannerStartDelay)
	scannerIdleMode                      = uatomic.NewInt32(0) // default is throttled when idle
	scannerExcessObjectVersions          = uatomic.NewInt64(100)
	scannerExcessObjectVersionsTotalSize = uatomic.NewInt64(1024 * 1024 * 1024 * 1024) // 1 TB
	scannerExcessFolders                 = uatomic.NewInt64(50000)
)

		// We are hitting the timeout too often, so increase the timeout by 25%
		timeout := min(
			// Set upper cap.
			atomic.LoadInt64(&dt.timeout)*125/100, int64(maxDynamicTimeout))
		// Safety, shouldn't happen
		if timeout < dt.minimum {
			timeout = dt.minimum
		}
		atomic.StoreInt64(&dt.timeout, timeout)
	} else if failPct < dynamicTimeoutDecreaseThresholdPct {
		// We are hitting the timeout relatively few times,

func (h *Target) Stats() types.TargetStats {
	h.logChMu.RLock()
	queueLength := len(h.logCh)
	h.logChMu.RUnlock()

	return types.TargetStats{
		TotalMessages:  atomic.LoadInt64(&h.totalMessages),
		FailedMessages: atomic.LoadInt64(&h.failedMessages),
		QueueLength:    queueLength,
	}
}

// Init initialize kafka target
func (h *Target) Init(ctx context.Context) error {
	if !h.kconfig.Enabled {

						}
						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)

	}
	return clnt
}

// IsOnline returns whether the client is likely to be online.
func (c *Client) IsOnline() bool {
	return atomic.LoadInt32(&c.connected) == online
}

// LastConn returns when the disk was (re-)connected
func (c *Client) LastConn() time.Time {
	return time.Unix(0, atomic.LoadInt64(&c.lastConn))
}

// LastError returns previous error
func (c *Client) LastError() error {
	c.RLock()