* test, or to keep dependent builds clean in spite of an erroneous test.
   */
  @CanIgnoreReturnValue
  public B suppressing(Method... methods) {
    return suppressing(asList(methods));
  }

  @CanIgnoreReturnValue
  public B suppressing(Collection<Method> methods) {
    suppressedTests.addAll(methods);
    return self();
  }

  public Set<Method> getSuppressedTests() {

   * test, or to keep dependent builds clean in spite of an erroneous test.
   */
  @CanIgnoreReturnValue
  public B suppressing(Method... methods) {
    return suppressing(asList(methods));
  }

  @CanIgnoreReturnValue
  public B suppressing(Collection<Method> methods) {
    suppressedTests.addAll(methods);
    return self();
  }

  public Set<Method> getSuppressedTests() {

errors.result_size_exceeded = Aucun autre résultat ne peut être affiché.
errors.target_file_does_not_exist = Le fichier {0} n'existe pas.
errors.failed_to_delete_file = Échec de la suppression du fichier {0}.
errors.docid_not_found = ID de document non trouvé. Cause : {0}
errors.document_not_found = L'URL de l'ID de document est introuvable. Cause : {0}

    static final Comparator<byte[]> BEST_COMPARATOR = getBestComparator();

    @SuppressWarnings({
      // b/345822163
      "SunApi",
      "deprecation",
      // The `deprecation` suppression is for Unsafe APIs that aren't deprecated under some versions
      "UnnecessaryJavacSuppressWarnings"
    })
    @VisibleForTesting
    enum UnsafeComparator implements LexicographicalComparator {
      INSTANCE;

labels.crud_link_edit=Modifier
labels.crud_link_details=Détails
labels.crud_link_list=Liste
labels.crud_title_list=Liste
labels.crud_title_create=Créer
labels.crud_title_edit=Modifier
labels.crud_title_delete=Confirmer la suppression
labels.crud_title_details=Détails
labels.crud_delete_confirmation=Êtes-vous sûr de vouloir supprimer ?
labels.admin_brand_title=Fess
labels.admin_dashboard_title=Tableau de bord

*   Improved convolution padding documentation.
*   Add a tag constant, gpu, to present graph with GPU support.
*   `saved_model.utils` now support SparseTensors transparently.
*   A more efficient implementation of non-max suppression.
*   Add support for the shrinkage-type L2 to FtrlOptimizer in addition to the
    online L2 it already supports.
*   Fix negative variance in moments calculation.