- FAIL_CLOSE
                - FAIL_OPEN
                type: string
              imagePullPolicy:
                description: |-
                  The pull behaviour to be applied when fetching Wasm module by either OCI image or `http/https`.

                  Valid Options: IfNotPresent, Always
                enum:
                - UNSPECIFIED_POLICY
                - IfNotPresent
                - Always

Et nous analysons directement ce contenu YAML, puis nous utilisons à nouveau le même modèle Pydantic pour valider le contenu YAML :

```Python hl_lines="26-33"
{!../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
```

/// tip | "Astuce"

Ici, nous réutilisons le même modèle Pydantic.

Mais nous aurions pu tout aussi bien pu le valider d'une autre manière.

* Dentro dele, o arquivo `app/main.py` está localizado em um pacote Python (diretório com  `__init__.py`). Portanto, ele é um "módulo" desse pacote: `app.main`.
* Existem também um arquivo `app/dependencies.py`, assim como o `app/main.py`, ele é um "módulo": `app.dependencies`.
* Há um subdiretório `app/routers/` com outro arquivo `__init__.py`, então ele é um "subpacote Python": `app.routers`.

    <magic priority="50">
      <match value="MATLAB" type="string" offset="0"/>
    </magic>
      <glob pattern="*.mat"/>
  </mime-type>

  <mime-type type="text/x-modula">
    <_comment>Modula source code</_comment>
    <glob pattern="*.m3"/>
    <glob pattern="*.i3"/>
    <glob pattern="*.mg"/>
    <glob pattern="*.ig"/>
    <sub-class-of type="text/plain"/>
  </mime-type>

{"version":3,"sources":["jquery-3.7.1.js"],"names":["global","factory","module","exports","document","w","Error","window","this","noGlobal","arr","getProto","Object","getPrototypeOf","slice","flat","array","call","concat","apply","push","indexOf","class2type","toString","hasOwn","hasOwnProperty","fnToString","ObjectFunctionString","support","isFunction","obj","nodeType","item","isWindow","preservedScriptAttributes","type","src","nonce","noModule","DOMEval","code","node","doc","i","val","scrip...

///

## Tests separieren

In einer echten Anwendung würden Sie Ihre Tests wahrscheinlich in einer anderen Datei haben.

Und Ihre **FastAPI**-Anwendung könnte auch aus mehreren Dateien/Modulen, usw. bestehen.

### **FastAPI** Anwendungsdatei

Nehmen wir an, Sie haben eine Dateistruktur wie in [Größere Anwendungen](bigger-applications.md){.internal-link target=_blank} beschrieben:

```
.
├── app

/home/paul/.sdkman/candidates/java/10.0.2-oracle/bin/java -cp /home/paul/.gradle/caches/modules-2/files-2.1/org.jetbrains.kotlin/kotlin-compiler-embeddable/1.3.11/a8db6c14f8b8ed74aa11b8379f961587b639c571/kotlin-compiler-embeddable-1.3.11.jar:/home/paul/.gradle/caches/modules-2/files-2.1/org.jetbrains.kotlin/kotlin-reflect/1.3.11/aae7b33412715e9ed441934c4ffaad1bb80e9d36/kotlin-reflect-1.3.11.jar:/home/paul/.gradle/caches/modules-2/files-2.1/org.jetbrains.kotlin/kotlin-stdlib/1.3.11/4cbc5922a54376018307a731...

        assertEquals(project1.getScm().getUrl(), project0.getScm().getUrl() + "/modules/p1");
        assertEquals(project1.getScm().getConnection(), project0.getScm().getConnection() + "/modules/p1");
        assertEquals(
                project1.getScm().getDeveloperConnection(), project0.getScm().getDeveloperConnection() + "/modules/p1");
    }

    @Test

Chacun de ces `dict` de réponse peut avoir une clé `model`, contenant un modèle Pydantic, tout comme `response_model`.

**FastAPI** prendra ce modèle, générera son schéma JSON et l'inclura au bon endroit dans OpenAPI.

Par exemple, pour déclarer une autre réponse avec un code HTTP `404` et un modèle Pydantic `Message`, vous pouvez écrire :

```Python hl_lines="18 22"

- Reverted a kubectl azure auth module change where oidc claim spn: prefix was omitted resulting a breaking behavior with existing Azure AD OIDC enabled api-server ([#87507](https://github.com/kubernetes/kubernetes/pull/87507), [@weinong](https://github.com/weinong)) [SIG API Machinery,...