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)

		if t.updating.TryLock() {
			go func() {
				defer t.updating.Unlock()
				t.update()
			}()
		}
		return v.v, v.e
	}

	// Get lock. Either we get it or we wait for it.
	t.updating.Lock()
	if time.Since(time.UnixMilli(t.lastUpdateMs.Load())) < ttl {
		// There is a new value, release lock and return it.
		v = t.valErr.Load()
		t.updating.Unlock()
		return v.v, v.e

		logger.CriticalIf(context.Background(), Errorf("The seal algorithm '%s' is invalid for SSE-S3", sealedKey.Algorithm))
	}

	// There are two possibilities:
	// - We use a KMS -> There must be non-empty key ID and a KMS data key.
	// - We use a K/V -> There must be no key ID and no KMS data key.
	// Otherwise, the caller has passed an invalid argument combination.
	if keyID == "" && len(kmsKey) != 0 {

	}

	cache := store.lock()
	defer store.unlock()

	// We should only update the in-memory cache if there were no changes
	// to the in-memory cache since the disk loading began. If there
	// were changes to the in-memory cache we should wait for the next
	// cycle until we can safely update the in-memory cache.
	//
	// An in-memory cache must be replaced only if we know for sure that the

	var setArgs [][]string
	if !ellipses.HasEllipses(args...) {
		var setIndexes [][]uint64
		// Check if we have more one args.
		if len(args) > 1 {
			var err error
			setIndexes, err = getSetIndexes(args, []uint64{uint64(len(args))}, setDriveCount, nil)
			if err != nil {
				return nil, err
			}
		} else {
			// We are in FS setup, proceed forward.
			setIndexes = [][]uint64{{uint64(len(args))}}
		}
		s := endpointSet{

				if !strings.Contains(output, noClusterID) {
					t.Fatal(err)
				}
			}

			checkFiles := map[string]bool{
				// inputs that we allow to exist, if other files seep in unexpectedly we fail the test
				".gitignore": false, "meshconfig.yaml": false, "workloadgroup.yaml": false,
			}
			for k, v := range generated {
				checkFiles[k] = v
			}

	}
	// For forward compatibility reasons, we need to add this code.
	if len(dataUsageInfo.BucketsUsage) == 0 {
		dataUsageInfo.BucketsUsage = make(map[string]BucketUsageInfo, len(dataUsageInfo.BucketSizes))
		for bucket, size := range dataUsageInfo.BucketSizes {
			dataUsageInfo.BucketsUsage[bucket] = BucketUsageInfo{Size: size}
		}
	}

	// For backward compatibility reasons, we need to add this code.

type TCPOptions struct {
	UserTimeout int // this value is expected to be in milliseconds
	// When the net.Conn is idle for more than ReadTimeout duration, we close the connection on the client proactively.
	ClientReadTimeout time.Duration
	// When the net.Conn is idle for more than WriteTimeout duration, we close the connection on the client proactively.
	ClientWriteTimeout time.Duration

	PodDeleted(ctx context.Context, uid string) error
	PodAdded(ctx context.Context, pod *v1.Pod, netns Netns) error
	Close() error
}

/*
To clean up stale ztunnels

	we may need to ztunnel to send its (uid, bootid / boot time) to us
	so that we can remove stale entries when the ztunnel pod is deleted
	or when the ztunnel pod is restarted in the same pod (remove old entries when the same uid connects again, but with different boot id?)

	if err := api.Walk(ctx, r.Bucket, r.Prefix, results, WalkOptions{
		Marker:       lastObject,
		LatestOnly:   false, // we need to visit all versions of the object to implement purge: retainVersions
		VersionsSort: WalkVersionsSortDesc,
	}); err != nil {
		// Do not need to retry if we can't list objects on source.
		return err
	}

	// Goroutine to periodically save batch-expire job's in-memory state