* ListeningExecutorService}.
   *
   * <p>If the delegate executor was already an instance of {@code ListeningExecutorService}, it is
   * returned untouched, and the rest of this documentation does not apply.
   *
   * @since 10.0
   */
  @GwtIncompatible // TODO
  public static ListeningExecutorService listeningDecorator(ExecutorService delegate) {

Then, using the certificate, the client and the TLS Termination Proxy **decide how to encrypt** the rest of the **TCP communication**. This completes the **TLS Handshake** part.

  This question the Dodo could not answer without a great deal of
thought, and it sat for a long time with one finger pressed upon
its forehead (the position in which you usually see Shakespeare,
in the pictures of him), while the rest waited in silence.  At
last the Dodo said, `EVERYBODY has won, and all must have
prizes.'

  `But who is to give the prizes?' quite a chorus of voices
asked.

    return ImmutableSortedSet.of(e1, e2, e3, e4, e5);
  }

  @Override
  protected <E extends Comparable<? super E>> SortedSet<E> of(
      E e1, E e2, E e3, E e4, E e5, E e6, E... rest) {
    return ImmutableSortedSet.of(e1, e2, e3, e4, e5, e6, rest);
  }

  @Override
  protected <E extends Comparable<? super E>> SortedSet<E> copyOf(E[] elements) {
    return ImmutableSortedSet.copyOf(elements);
  }

  @Override

/// info | 情報

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Enumerations (もしくは、enums)はPython 3.4以降で利用できます</a>。

///

/// tip | 豆知識

"AlexNet"、"ResNet"そして"LeNet"は機械学習<abbr title="Technically, Deep Learning model architectures">モデル</abbr>の名前です。

///

### *パスパラメータ*の宣言

次に、作成したenumクラスである`ModelName`を使用した型アノテーションをもつ*パスパラメータ*を作成します:

* 基本的なユーザーモデル (任意の修正や削除が可能)。
* **Alembic** マイグレーション。
* **CORS** (Cross Origin Resource Sharing (オリジン間リソース共有))。
* **Celery** ワーカー。バックエンドの残りの部分からモデルとコードを選択的にインポートし、使用可能。
* Dockerと統合された**Pytest**ベースのRESTバックエンドテスト。データベースに依存せずに、全てのAPIをテスト可能。Docker上で動作するので、毎回ゼロから新たなデータストアを構築可能。(ElasticSearch、MongoDB、CouchDBなどを使用して、APIの動作をテスト可能)
* Atom HydrogenやVisual Studio Code Jupyterなどの拡張機能を使用した、リモートまたはDocker開発用の**Jupyterカーネル**との簡単なPython統合。

    This is where we'll put the `requirements.txt` file and the `app` directory.

3. Copy the file with the requirements to the `/code` directory.

    Copy **only** the file with the requirements first, not the rest of the code.

    As this file **doesn't change often**, Docker will detect it and use the **cache** for this step, enabling the cache for the next step too.

4. Install the package dependencies in the requirements file.

/// tip

This is a somewhat advanced technique, and in most of the cases you won't really need it, as you can raise exceptions (including `HTTPException`) from inside of the rest of your application code, for example, in the *path operation function*.

But it's there for you if you need it. 🤓

///

{* ../../docs_src/dependencies/tutorial008b_an_py39.py hl[18:22,31] *}

Wichtig ist, dass **der erste *Typ-Parameter***, den Sie `Annotated` übergeben, der **tatsächliche Typ** ist. Der Rest sind Metadaten für andere Tools.

Im Moment müssen Sie nur wissen, dass `Annotated` existiert, und dass es Standard-Python ist. 😎

Später werden Sie sehen, wie **mächtig** es sein kann.

/// tip | Tipp

                field_dict["annotation"],
                *field_dict["metadata"],
                # this FieldInfo needs to be created again so that it doesn't include
                # the old field info metadata and only the rest of the attributes
                Field(**field_dict["attributes"]),
            )
            self._type_adapter: TypeAdapter[Any] = TypeAdapter(
                Annotated[annotated_args],