// throw an exception.
  private void setupFlushable(boolean shouldThrowOnFlush) throws IOException {
    mockFlushable = mock(Flushable.class);
    if (shouldThrowOnFlush) {
      doThrow(new IOException("This should only appear in the logs. It should not be rethrown."))
          .when(mockFlushable)
          .flush();
    }
  }

  // Flush the flushable using the Flushables, passing in the swallowException

    // -----------------------------------------------------
    //                                            Entry Page
    //                                            ----------
    /**
     * Show the create new page.
     * @return The HTML response.
     */
    @Execute
    @Secured({ ROLE })
    public HtmlResponse createnew() {
        saveToken();
        return asEditHtml().useForm(CreateForm.class, op -> {

While these conventions served relatively well in practice, they created gaps, resulting in a loss of uniformity in some cases and leaving friction in the process of naming new properties.

### Terminology

**Public properties** are formally a part of the Public API.
Public properties are **stable properties**: they CANNOT be renamed or removed without notice.

      ListenableFuture<I> input,
      AsyncFunction<? super I, ? extends O> function,
      Executor executor) {
    AsyncTransformFuture<I, O> output = new AsyncTransformFuture<>(input, function);
    input.addListener(output, rejectionPropagatingExecutor(executor, output));
    return output;
  }

  TF_DeleteStatus(status);

  int port = tensorflow::testing::PickUnusedPortOrDie();
  // 3. Replace worker1 with a new worker in server_def_0 and server_def_1.
  ReplaceTaskInServerDef(&server_def_0, /*task_index=*/1, "localhost", port);
  ReplaceTaskInServerDef(&server_def_1, /*task_index=*/1, "localhost", port);
  // 4. Start a new task to replace worker1.
  server_def_0.set_task_index(1);
  worker_server1.release();

    }

    public FessUser getFessUser() {
        return user;
    }

    public static FessUserBean empty() {
        return new FessUserBean(null) {
            private static final long serialVersionUID = 1L;

            @Override
            public String getUserId() {
                return Constants.EMPTY_USER_ID;
            }

   */
  @Override
  ImmutableList<E> subListUnchecked(int fromIndex, int toIndex) {
    ImmutableList<E> parentSubList = super.subListUnchecked(fromIndex, toIndex);
    return new RegularImmutableSortedSet<E>(parentSubList, comparator()).asList();
  }

  @Override
  public Spliterator<E> spliterator() {
    return CollectSpliterators.indexed(
        size(),

     * The total number of words.
     */
    protected final long total;

    /**
     * The list of suggested items.
     */
    protected final List<SuggestItem> items;

    /**
     * Constructs a new PopularWordsResponse.
     *
     * @param index the index associated with the response
     * @param tookMs the time taken to generate the response in milliseconds
     * @param words the list of popular words

	}

	if cap(t.requestsPool) != apiRequestsMaxPerNode {
		// Only replace if needed.
		// Existing requests will use the previous limit,
		// but new requests will use the new limit.
		// There will be a short overlap window,
		// but this shouldn't last long.
		t.requestsPool = make(chan struct{}, apiRequestsMaxPerNode)
	}
	listQuorum := cfg.ListQuorum
	if listQuorum == "" {

#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@//tensorflow:workspace3.bzl", "tf_workspace3")

tf_workspace3()