import org.opensearch.search.aggregations.metrics.PercentilesAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ScriptedMetricAggregationBuilder;
import org.opensearch.search.aggregations.metrics.StatsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.SumAggregationBuilder;
import org.opensearch.search.aggregations.metrics.TopHitsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ValueCountAggregationBuilder;

			var zb0002 uint32
			zb0002, err = dc.ReadMapHeader()
			if err != nil {
				err = msgp.WrapError(err, "Entries")
				return
			}
			if z.Entries == nil {
				z.Entries = make(map[string]MRFReplicateEntry, zb0002)
			} else if len(z.Entries) > 0 {
				for key := range z.Entries {
					delete(z.Entries, key)
				}
			}
			for zb0002 > 0 {
				zb0002--
				var za0001 string

import org.opensearch.search.aggregations.metrics.PercentilesAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ScriptedMetricAggregationBuilder;
import org.opensearch.search.aggregations.metrics.StatsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.SumAggregationBuilder;
import org.opensearch.search.aggregations.metrics.TopHitsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ValueCountAggregationBuilder;

		return err
	}
	parentCtx := ctx
	ctx, cancelCause := context.WithCancelCause(ctx)
	var entries []chan metaCacheEntry

	for poolIdx, erasureSet := range z.serverPools {
		for setIdx, set := range erasureSet.sets {
			listOut := make(chan metaCacheEntry, 1)
			entries = append(entries, listOut)
			disks, infos, _ := set.getOnlineDisksWithHealingAndInfo(true)
			if len(disks) == 0 {

import jakarta.annotation.PostConstruct;
import jakarta.annotation.PreDestroy;

/**
 * Helper class for managing crawler statistics and performance metrics.
 * This class provides functionality to track, record, and report statistics
 * about crawler operations including timing data, performance metrics, and
 * operational events. It uses an internal cache to maintain statistics
 * objects and provides methods to begin tracking, record events, and

	var res AccElem
	minutes := time.Now().Unix() / 60
	l.forwardTo(minutes)
	for _, elem := range l.Totals[:] {
		res.merge(elem)
	}
	return res
}

// forwardTo time t, clearing any entries in between.
func (l *ReplicationLastHour) forwardTo(t int64) {
	if l.LastMin >= t {
		return
	}
	if t-l.LastMin >= 60 {
		l.Totals = [60]AccElem{}
		return
	}
	for l.LastMin != t {

        FileEntry[] entries = dfsRootEnum.getEntries();
        assertNotNull(entries);
        assertEquals(2, entries.length);

        assertInstanceOf(SmbShareInfo.class, entries[0]);
        assertNull(entries[0].getName());
        assertEquals(8, entries[0].getType()); // TYPE_SHARE constant value

        assertInstanceOf(SmbShareInfo.class, entries[1]);

* The IP address and port for kube-proxy metrics server is now configurable via flag `--metrics-bind-address` ([#48625](https://github.com/kubernetes/kubernetes/pull/48625), [@mrhohn](https://github.com/mrhohn))
  * Special notice for kube-proxy in 1.7+ (including 1.7.0):
    * Healthz server (/healthz) will be served on 0.0.0.0:10256 by default.
    * Metrics server (/metrics and /proxyMode) will be served on 127.0.0.1:10249 by default.

The additional node specific metrics which include additional go metrics or process metrics are exposed at
`<Address for MinIO Node>/minio/v2/metrics/node`.

The additional bucket specific metrics which include additional go metrics or process metrics are exposed at
`<Address for MinIO Node>/minio/v2/metrics/bucket`.

The additional resource specific metrics which include additional go metrics or process metrics are exposed at

      }
    }
  }

  @MapFeature.Require(SUPPORTS_PUT)
  @CollectionSize.Require(absent = ZERO)
  public void testPutDuplicateValue() {
    List<Entry<K, V>> entries = copyToList(multimap().entries());

    for (Entry<K, V> entry : entries) {
      resetContainer();

      K k = entry.getKey();
      V v = entry.getValue();

      List<V> values = multimap().get(k);