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.

    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:

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

Y también se utilizarán en la documentación API dentro de cada *path operation* que los necesite:

<img src="/img/tutorial/body/image02.png">

## Soporte del editor { #editor-support }

En tu editor, dentro de tu función, obtendrás anotaciones de tipos y autocompletado en todas partes (esto no sucedería si recibieras un `dict` en lugar de un modelo de Pydantic):

<img src="/img/tutorial/body/image03.png">

Sie werden selten noch mal in der Dokumentation nachschauen müssen.

So kann Ihr Editor Sie unterstützen:

* in [Visual Studio Code](https://code.visualstudio.com/):

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

* in [PyCharm](https://www.jetbrains.com/pycharm/):

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

```

as in:

{* ../../docs_src/body_nested_models/tutorial008_py310.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.

E também serão utilizados na documentação da API dentro de cada *operação de rota* que precisar deles:

<img src="/img/tutorial/body/image02.png">

## Suporte do editor { #editor-support }

No seu editor, dentro da função você receberá dicas de tipos e preenchimento automático em todo lugar (isso não aconteceria se você recebesse um `dict` em vez de um modelo Pydantic):

<img src="/img/tutorial/body/image03.png">

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

And will also be used in the API docs inside each *path operation* that needs them:

<img src="/img/tutorial/body/image02.png">

## Editor support { #editor-support }

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

```

so wie in:

{* ../../docs_src/body_nested_models/tutorial008_py310.py hl[13] *}

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

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.

        return xml.toString();
    }

    public Document buildDocument() {
        try {
            String xmlContent = build();
            Editor editor = new Editor(Document.of(xmlContent));
            return editor.document();
        } catch (Exception e) {
            throw new RuntimeException("Failed to build POM document", e);
        }
    }

Você raramente precisará voltar à documentação.

Aqui está como o editor poderá te ajudar:

* no [Visual Studio Code](https://code.visualstudio.com/):

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

* no [PyCharm](https://www.jetbrains.com/pycharm/):

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