pytest.param("tutorial002_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    clear_sqlmodel()
    # TODO: remove when updating SQL tutorial to use new lifespan API
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        mod = importlib.import_module(f"docs_src.sql_databases.{request.param}")
        clear_sqlmodel()

Die interaktive Dokumentation enthält also auch alle Informationen aus diesen Abhängigkeiten:

<img src="/img/tutorial/dependencies/image01.png">

## Einfache Verwendung { #simple-usage }

Bütün güvenlik şemaları OpenAPI'da tanımlanmış durumda, kapsadıkları:

* HTTP Basic.
* **OAuth2** (ve **JWT tokenleriyle** beraber). Bu öğretici içeriğe göz atabilirsin [OAuth2 with JWT](tutorial/security/oauth2-jwt.md){.internal-link target=_blank}.
* API anahtarları:
    * Headerlar.
    * Query parametreleri.
    * Cookies, vs.

   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated. Instead,
   * use the {@code HashMap} constructor directly, taking advantage of <a
   * href="https://docs.oracle.com/javase/tutorial/java/generics/genTypeInference.html#type-inference-instantiation">"diamond"
   * syntax</a>.
   *
   * @return a new, empty {@code HashMap}
   */

   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated. Instead,
   * use the {@code HashMap} constructor directly, taking advantage of <a
   * href="https://docs.oracle.com/javase/tutorial/java/generics/genTypeInference.html#type-inference-instantiation">"diamond"
   * syntax</a>.
   *
   * @return a new, empty {@code HashMap}
   */

 * but if it claims that an element is <i>not</i> contained in it, then this is definitely true.
 *
 * <p>If you are unfamiliar with Bloom filters, this nice <a
 * href="http://llimllib.github.io/bloomfilter-tutorial/">tutorial</a> may help you understand how
 * they work.
 *
 * <p>The false positive probability ({@code FPP}) of a Bloom filter is defined as the probability

Así, la documentación interactiva tendrá toda la información de estas dependencias también:

<img src="/img/tutorial/dependencies/image01.png">

## Uso simple { #simple-usage }

## Editor support everywhere { #editor-support-everywhere }

And you get editor support everywhere.

Even for items inside of lists:

<img src="/img/tutorial/body-nested-models/image01.png">

You couldn't get this kind of editor support if you were working directly with `dict` instead of Pydantic models.

{* ../../docs_src/additional_responses/tutorial003_py39.py hl[20:31] *}

Todo se combinará e incluirá en tu OpenAPI, y se mostrará en la documentación de la API:

<img src="/img/tutorial/additional-responses/image01.png">

## Combina responses predefinidos y personalizados { #combine-predefined-responses-and-custom-ones }

{* ../../docs_src/additional_responses/tutorial003_py39.py hl[20:31] *}

Es wird alles kombiniert und in Ihre OpenAPI eingebunden und in der API-Dokumentation angezeigt:

<img src="/img/tutorial/additional-responses/image01.png">

## Vordefinierte und benutzerdefinierte Responses kombinieren { #combine-predefined-responses-and-custom-ones }