* The table size is capped because, when there are more threads
   * than CPUs, supposing that each thread were bound to a CPU,
   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of
   * colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,

labels.dict_synonym_target=Ziel
labels.dict_synonym_button_download=Herunterladen
labels.dict_synonym_button_upload=Hochladen
labels.dict_synonym_file=Synonym-Datei
labels.dict_mapping_configuration=Mapping-Liste
labels.dict_mapping_title=Mapping-Liste
labels.dict_mapping_list_link=Liste
labels.dict_mapping_link_create=Neu erstellen
labels.dict_mapping_link_edit=Bearbeiten
labels.dict_mapping_link_delete=Löschen

online.help.name.dict=dict
online.help.name.dict.kuromoji=kuromoji
online.help.name.dict.protwords=protwords
online.help.name.dict.stopwords=stopwords
online.help.name.dict.stemmeroverride=stemmeroverride
online.help.name.dict.mapping=mapping
online.help.name.webconfig=webconfig
online.help.name.searchlist=searchlist
online.help.name.log=log
online.help.name.general=general
online.help.name.role=role
online.help.name.joblog=joblog

labels.log_level	=	Niveau de journalisation
labels.csv_file_encoding	=	Encodage pour CSV
labels.notification_to	=	E-mail de notification
labels.pathmap_configuration	=	Mapping du chemin
labels.pathmap_title_details	=	Mapping du chemin
labels.disabled	=	Désactivé
labels.pathmap_pt_crawling	=	Exploration
labels.pathmap_pt_displaying	=	Affichage
labels.pathmap_pt_both	=	Explorer/afficher

		netnsRunner:        NetnsDo,
	}
}

func (s *NetServer) Start(ctx context.Context) {
	log.Debug("starting ztunnel server")
	go s.ztunnelServer.Run(ctx)
}

func (s *NetServer) Stop() {
	log.Debug("stopping ztunnel server")
	s.ztunnelServer.Close()
}

func (s *NetServer) rescanPod(pod *corev1.Pod) error {
	// this can happen if the pod was dynamically added to the mesh after it was created.

	"X-Minio-Replication-Server-Side-Encryption-Iv",
	"X-Minio-Replication-Encrypted-Multipart",
	"X-Minio-Replication-Actual-Object-Size",
	ReplicationSsecChecksumHeader,
	// Add more supported headers here.
}

// mapping of internal headers to allowed replication headers
var validSSEReplicationHeaders = map[string]string{
	"X-Minio-Internal-Server-Side-Encryption-Sealed-Key":     "X-Minio-Replication-Server-Side-Encryption-Sealed-Key",

  ASSERT_TRUE(executed);
  auto handle_cleaner = tensorflow::gtl::MakeCleanup(
      [var_handle]() { TFE_DeleteTensorHandle(var_handle); });

  // Assign to the variable, copying to the custom device.
  std::unique_ptr<TFE_TensorHandle, decltype(&TFE_DeleteTensorHandle)> one(
      TestScalarTensorHandle(context.get(), 111.f), TFE_DeleteTensorHandle);

 * single character '{@code \}{@code u1000}' will require approximately 16K of memory. If you need
 * to create multiple escaper instances that have the same character replacement mapping consider
 * using {@link ArrayBasedEscaperMap}.
 *
 * @author David Beaumont
 * @since 15.0
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault

  protected Table<String, Integer, C> table;

  /**
   * Creates a table with the specified data.
   *
   * @param data the table data, repeating the sequence row key, column key, value once per mapping
   * @throws IllegalArgumentException if the size of {@code data} isn't a multiple of 3
   * @throws ClassCastException if a data element has the wrong type
   */

   * Returns a new bimap with the same mappings as the specified map. If the specified map is an
   * {@code EnumBiMap}, the new bimap has the same types as the provided map. Otherwise, the
   * specified map must contain at least one mapping, in order to determine the key and value types.
   *
   * @param map the map whose mappings are to be placed in this map
   * @throws IllegalArgumentException if map is not an {@code EnumBiMap} instance and contains no