import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

FE38          ; disallowed_STD3_mapped ; 007D          # 1.1  PRESENTATION FORM FOR VERTICAL RIGHT CURLY BRACKET
FE39          ; mapped                 ; 3014          # 1.1  PRESENTATION FORM FOR VERTICAL LEFT TORTOISE SHELL BRACKET
FE3A          ; mapped                 ; 3015          # 1.1  PRESENTATION FORM FOR VERTICAL RIGHT TORTOISE SHELL BRACKET

          "interval": "1m",
          "legendFormat": "[{{server}}]",
          "refId": "A"
        }
      ],
      "title": "Bucket Scans Finished",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {

    for (int i = 0; i < originalCount; i++) {
      Object key = new Object();
      Object value = new Object();
      int hash = map.hash(key);
      // chain all entries together as we only have a single bucket
      entry = segment.newEntryForTesting(key, hash, entry);
      segment.setValueForTesting(entry, value);
    }
    segment.setTableEntryForTesting(0, entry);
    segment.count = originalCount;

    for (int i = 0; i < originalCount; i++) {
      Object key = new Object();
      Object value = new Object();
      int hash = map.hash(key);
      // chain all entries together as we only have a single bucket
      entry = segment.newEntryForTesting(key, hash, entry);
      segment.setValueForTesting(entry, value);
    }
    segment.setTableEntryForTesting(0, entry);
    segment.count = originalCount;

                        .putAll(asList(entries))
                        .buildJdkBacked();
                  }
                })
            .named("ImmutableBiMap [JDK backed]")
            .withFeatures(
                CollectionSize.ANY,
                CollectionFeature.SERIALIZABLE,
                CollectionFeature.KNOWN_ORDER,
                MapFeature.REJECTS_DUPLICATES_AT_CREATION,

    return CollectCollectors.<T, K, V, M>flatteningToMultimap(
        keyFunction, valueFunction, multimapSupplier);
  }

  /**
   * Creates a new {@code Multimap} backed by {@code map}, whose internal value collections are
   * generated by {@code factory}.
   *
   * <p><b>Warning: do not use</b> this method when the collections returned by {@code factory}

  @SuppressWarnings("nullness:initialization.field.uninitialized") // For J2KT (lateinit)
  @RetainedWith
  transient AbstractBiMap<V, K> inverse;

  /** Package-private constructor for creating a map-backed bimap. */
  AbstractBiMap(Map<K, V> forward, Map<V, K> backward) {
    setDelegates(forward, backward);
  }

  /** Private constructor for inverse bimap. */

	uint16max = (1 << 16) - 1
	uint32max = (1 << 32) - 1

	// Extra header IDs.
	//
	// IDs 0..31 are reserved for official use by PKWARE.
	// IDs above that range are defined by third-party vendors.
	// Since ZIP lacked high precision timestamps (nor an official specification
	// of the timezone used for the date fields), many competing extra fields
	// have been invented. Pervasive use effectively makes them "official".
	//

	if target.args.Format == event.NamespaceFormat {
		objectName, err := url.QueryUnescape(eventData.S3.Object.Key)
		if err != nil {
			return err
		}
		key := eventData.S3.Bucket.Name + "/" + objectName

		if eventData.EventName == event.ObjectRemovedDelete {
			_, err = target.deleteStmt.Exec(key)
		} else {
			var data []byte