roi.EventType = ReplicateExisting
		globalReplicationPool.Get().queueReplicaTask(roi)
	}
	return
}

const (
	mrfSaveInterval  = 5 * time.Minute
	mrfQueueInterval = mrfSaveInterval + time.Minute // A minute higher than save interval

	mrfRetryLimit = 3 // max number of retries before letting scanner catch up on this object version
	mrfMaxEntries = 1000000
)

	rx.sma.addSample(rx.Curr)
	rx.Avg = rx.sma.simpleMovingAvg()
	if rx.Curr > rx.Peak {
		rx.Peak = rx.Curr
	}
	rx.N++
}

// ReplicationMRFStats holds stats of MRF backlog saved to disk in the last 5 minutes
// and number of entries that failed replication after 3 retries
type ReplicationMRFStats struct {
	LastFailedCount uint64 `json:"failedCount_last5min"`

	sconfig.Net.DialTimeout = (10 * time.Second)
	sconfig.Net.WriteTimeout = (10 * time.Second)
	sconfig.Metadata.Retry.Max = 1
	sconfig.Metadata.Retry.Backoff = (10 * time.Second)
	sconfig.Metadata.RefreshFrequency = (15 * time.Minute)

	h.config = sconfig

	var brokers []string
	for _, broker := range h.kconfig.Brokers {
		brokers = append(brokers, broker.String())
	}

	client, err := sarama.NewClient(brokers, sconfig)

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Last Minute Failed Size [{{bucket}}]",
          "refId": "A"
        }
      ],
      "title": "Last Minute Failed Size",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"

     * 
     * @return maximum number of retries for netbios requests
     */
    int getNetbiosRetryCount ();


    /**
     * 
     * 
     * Property <tt>jcifs.netbios.cachePolicy</tt> in minutes (int, default 600)
     * 
     * @return netbios cache timeout, in seconds, 0 - disable caching, -1 - cache forever
     */
    int getNetbiosCachePolicy ();


    /**
     * 

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Last Minute Queued",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

/**
 * Use a regular expression search to find and resolve expressions within the POM.
 *
 * TODO Consolidate this logic with the PluginParameterExpressionEvaluator, minus deprecations/bans.
 */
@Deprecated
public abstract class AbstractStringBasedModelInterpolator extends AbstractLogEnabled
        implements ModelInterpolator, Initializable {

		return
	}
	remote := m.targets[cReq.Host]
	if remote == nil {
		writeErr(fmt.Errorf("unknown incoming host: %v", cReq.Host))
		return
	}
	if time.Since(cReq.Time).Abs() > 5*time.Minute {
		writeErr(fmt.Errorf("time difference too large between servers: %v", time.Since(cReq.Time).Abs()))
		return
	}
	if err := m.authToken(cReq.Token); err != nil {
		writeErr(fmt.Errorf("auth token: %w", err))

	}

	if len(poolIndices) > 0 && globalEndpoints[poolIndices[0]].Endpoints[0].IsLocal {
		go func() {
			// Resume decommissioning of pools, but wait 3 minutes for cluster to stabilize.
			if err := sleepContext(ctx, 3*time.Minute); err != nil {
				return
			}
			r := rand.New(rand.NewSource(time.Now().UnixNano()))
			for {
				if err := z.Decommission(ctx, poolIndices...); err != nil {

### Just Modern Python

It's all based on standard **Python type** declarations (thanks to Pydantic). No new syntax to learn. Just standard modern Python.

If you need a 2 minute refresher of how to use Python types (even if you don't use FastAPI), check the short tutorial: [Python Types](python-types.md){.internal-link target=_blank}.

You write standard Python with types:

```Python