private enum HashMethod {
    MESSAGE_DIGEST_API() {
      @Override
      public byte[] hash(Algorithm algorithm, byte[] input) {
        MessageDigest md = algorithm.getMessageDigest();
        md.update(input);
        return md.digest();
      }
    },
    HASH_FUNCTION_DIRECT() {
      @Override
      public byte[] hash(Algorithm algorithm, byte[] input) {

  virtual void EndStep() = 0;

  // Return the Eager Executor for current thread. Please note that Eager
  // Executor is only used in current TF but not in TFRT.
  virtual EagerExecutor& Executor() = 0;
  // Update the Eager Executor for current thread.
  virtual void SetExecutorForThread(EagerExecutor* executor) = 0;

  // Return a list of local tensorflow::Device*.
  // TODO(tfrt-devs): We shouldn't expose legacy device in this API.

    }

    /**
     * Inserts a new user across all authentication chains.
     * @param user The user to insert.
     */
    public void insert(final User user) {
        chains().of(stream -> stream.forEach(c -> c.update(user)));
    }

    /**
     * Changes the password for a user across all authentication chains.
     * @param username The username for which to change the password.
     * @param password The new password.

  }

  private static void assertChecksum(ImmutableSupplier<Checksum> supplier, String input) {
    byte[] bytes = HashTestUtils.ascii(input);

    Checksum checksum = supplier.get();
    checksum.update(bytes, 0, bytes.length);
    long value = checksum.getValue();

    String toString = "name";
    HashFunction func = new ChecksumHashFunction(supplier, 32, toString);
    assertThat(func.toString()).isEqualTo(toString);

            suggestHelper.indexFromDocuments(ret -> {
                logger.info("Success indexing from documents.");
                latch.countDown();
            }, t -> {
                logger.error("Failed to update suggest index.", t);
                exitCode.set(1);
                latch.countDown();
            });

            try {
                latch.await();

suggest.field.index.contents=content,title
# Interval for suggestion update requests.
suggest.update.request.interval=0
# Number of documents per suggestion update request.
suggest.update.doc.per.request=2
# Percentage limit for suggestion update contents.
suggest.update.contents.limit.num.percentage=50%
# Maximum number of suggestion update contents.
suggest.update.contents.limit.num=10000
# Maximum document size for suggestion update.

     */
    public EditForm() {
        super();
    }

    /**
     * The unique identifier of the Kuromoji dictionary entry being edited.
     * This is a required field for identifying which dictionary entry to update.
     */
    @Required
    @ValidateTypeFailure
    public Long id;

    /**
     * Returns a display-friendly identifier combining the dictionary ID and entry ID.

 * This form is used in the admin interface to upload custom protected words dictionary files.
 */
public class UploadForm {

    /**
     * The dictionary ID that identifies which protected words dictionary configuration to update.
     * This ID corresponds to a specific protected words dictionary instance in the system.
     */
    @Required
    public String dictId;

    /**

 * <p>
 * For example:
 *
 * <pre>
 * &#064;Secured({ &quot;ROLE_USER&quot; })
 * public void create(Contact contact);
 *
 * &#064;Secured({ &quot;ROLE_USER&quot;, &quot;ROLE_ADMIN&quot; })
 * public void update(Contact contact);
 *
 * &#064;Secured({ &quot;ROLE_ADMIN&quot; })
 * public void delete(Contact contact);
 * </pre>
 */
@Target({ ElementType.METHOD, ElementType.TYPE })
@Retention(RetentionPolicy.RUNTIME)

 */
@SuppressWarnings("rawtypes") // maybe avoidable if we rework the whole package?
@GwtCompatible
public enum MultisetFeature implements Feature<Multiset> {
  /**
   * Indicates that elements from {@code Multiset.entrySet()} update to reflect changes in the
   * backing multiset.
   */
  ENTRIES_ARE_VIEWS;

  @Override
  public Set<Feature<? super Multiset>> getImpliedFeatures() {
    return emptySet();
  }