// ISCSI volumes can only be mounted as read/write once.
// ISCSI volumes support ownership management and SELinux relabeling.
message ISCSIPersistentVolumeSource {
  // targetPortal is iSCSI Target Portal. The Portal is either an IP or ip_addr:port if the port
  // is other than default (typically TCP ports 860 and 3260).
  optional string targetPortal = 1;

  // iqn is Target iSCSI Qualified Name.

	for _, disk := range values[peerRESTDisk] {
		diskMap[disk] = struct{}{}
	}

	hostMap := make(map[string]struct{})
	for _, host := range values[peerRESTHost] {
		hostMap[host] = struct{}{}
	}

	info := collectLocalMetrics(types, collectMetricsOpts{
		disks: diskMap,
		hosts: hostMap,
		jobID: values.Get(peerRESTJobID),
		depID: values.Get(peerRESTDepID),
	})

     */
    public static void setFessConfig(final FessConfig fessConfig) {
        ComponentUtil.fessConfig = fessConfig;
        if (fessConfig == null) {
            systemHelper = null;
            FessProp.propMap.clear();
            componentMap.clear();
        }
    }

    public static void register(final Object instance, final String name) {
        componentMap.put(name, instance);
    }

 * conventional bounded queues, which either block or reject new elements when full.
 *
 * <p>This implementation is based on the <a
 * href="http://portal.acm.org/citation.cfm?id=6621">min-max heap</a> developed by Atkinson, et al.
 * Unlike many other double-ended priority queues, it stores elements in a single array, as compact

### Balanceamento de Carga

Quando usando contêineres, normalmente você terá algum componente **escutando na porta principal**. Poderia ser outro contêiner que também é um **Proxy de Terminação TLS** para lidar com **HTTPS** ou alguma ferramenta semelhante.

r","preFilters","cached","combinator","base","skip","checkNonElements","doneName","oldCache","newCache","elementMatcher","matchers","condense","newUnmatched","mapped","setMatcher","postFilter","postFinder","postSelector","temp","matcherOut","preMap","postMap","preexisting","contexts","multipleContexts","matcherIn","matcherFromTokens","checkContext","leadingRelative","implicitRelative","matchContext","matchAnyContext","elementMatchers","setMatchers","bySet","byElement","superMatcher","outermost",...

 * conventional bounded queues, which either block or reject new elements when full.
 *
 * <p>This implementation is based on the <a
 * href="http://portal.acm.org/citation.cfm?id=6621">min-max heap</a> developed by Atkinson, et al.
 * Unlike many other double-ended priority queues, it stores elements in a single array, as compact

   *
   * @param map the backing map for the returned multimap view
   */
  public static <K extends @Nullable Object, V extends @Nullable Object> SetMultimap<K, V> forMap(
      Map<K, V> map) {
    return new MapMultimap<>(map);
  }

  /** @see Multimaps#forMap */
  private static class MapMultimap<K extends @Nullable Object, V extends @Nullable Object>

onporter.run

// Positive Codes Technology Company : http://co.bn/faq.html
// Submitted by Zulfais <******@****.***>
co.bn

// Postman, Inc : https://postman.com
// Submitted by Rahul Dhawan <security@postman.com>
postman-echo.com
pstmn.io
mock.pstmn.io
httpbin.org

//prequalifyme.today : https://prequalifyme.today
//Submitted by DeepakTiwari ******@****.***

   *
   * <p>To use a plain {@link Map} as a {@link Function}, see {@link
   * com.google.common.base.Functions#forMap(Map)} or {@link
   * com.google.common.base.Functions#forMap(Map, Object)}.
   *
   * @since 16.0
   */
  public static <A, B> Converter<A, B> asConverter(final BiMap<A, B> bimap) {
    return new BiMapConverter<>(bimap);
  }