var editor: DiskLruCache.Editor? = null
    try {
      editor = snapshot.edit() ?: return // edit() returns null if snapshot is not current.
      entry.writeTo(editor)
      editor.commit()
    } catch (_: IOException) {
      abortQuietly(editor)
    }
  }

  private fun abortQuietly(editor: DiskLruCache.Editor?) {
    // Give up because the cache cannot be written.

images: list[Image]
```

so wie in:

{* ../../docs_src/body_nested_models/tutorial008_py39.py hl[13] *}

## Editor-Unterstützung überall

Und Sie erhalten Editor-Unterstützung überall.

Selbst für Dinge in Listen:

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

Sie würden diese Editor-Unterstützung nicht erhalten, wenn Sie direkt mit `dict`, statt mit Pydantic-Modellen arbeiten würden.

You can use the convenience variables from `fastapi.status`.

{* ../../docs_src/response_status_code/tutorial002.py hl[1,6] *}

They are just a convenience, they hold the same number, but that way you can use the editor's autocomplete to find them:

<img src="/img/tutorial/response-status-code/image02.png">

/// note | Technical Details

You could also use `from starlette import status`.

```

como em:

{* ../../docs_src/body_nested_models/tutorial008.py hl[15] *}

## Suporte de editor em todo canto

E você obtém suporte do editor em todos os lugares.

Mesmo para itens dentro de listas:

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

Você não conseguiria este tipo de suporte de editor se estivesse trabalhando diretamente com `dict` em vez de modelos Pydantic.

como en:

{* ../../docs_src/body_nested_models/tutorial008_py39.py hl[13] *}

## Soporte de editor en todas partes

Y obtienes soporte de editor en todas partes.

Incluso para elementos dentro de listas:

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

No podrías obtener este tipo de soporte de editor si estuvieras trabajando directamente con `dict` en lugar de modelos Pydantic.

    id: expected-behavior
    attributes:
      label: "What did you expect to see?"
    validations:
      required: true
  - type: textarea
    id: editor-and-settings
    attributes:
      label: "Editor and settings"
      description: "Your editor and any settings you have configured (for example, your VSCode settings.json file)"
    validations:
      required: false
  - type: textarea
    id: logs
    attributes:

```

as in:

{* ../../docs_src/body_nested_models/tutorial008_py39.py hl[13] *}

## 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.

Flask, Starlette, Responder ve benzerlerinde bu şekilde çalışıyor.

Fakat sonrasında yine mikro sözdizimi problemiyle karşılaşıyoruz. Python metinlerinin içinde koskoca bir YAML oluyor.

Editör bu konuda pek yardımcı olamaz. Üstelik eğer parametreleri ya da Marshmallow şemalarını değiştirip YAML kodunu güncellemeyi unutursak artık döküman geçerliliğini yitiriyor.

/// info | Bilgi

📥 ❔ 👆 👨‍🎨 💪 ℹ 👆:

*  <a href="https://code.visualstudio.com/" class="external-link" target="_blank">🎙 🎙 📟</a>:

![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)

*  <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">🗒</a>:

![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)

{* ../../docs_src/response_status_code/tutorial002.py hl[1,6] *}

Diese sind nur eine Annehmlichkeit und enthalten dieselbe Nummer, aber auf diese Weise können Sie die Autovervollständigung Ihres Editors verwenden, um sie zu finden:

<img src="/img/tutorial/response-status-code/image02.png">

/// note | Technische Details

Sie können auch `from starlette import status` verwenden.