```Python
images: list[Image]
```

например так:

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

## Поддержка редактора кода везде { #editor-support-everywhere }

И вы получаете поддержку редактора кода везде.

Даже для элементов внутри списков:

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

If we had declared `-> HeroPublic`, your editor and linter would complain (rightfully so) that you are returning a `Hero` instead of a `HeroPublic`.

By declaring it in `response_model` we are telling **FastAPI** to do its thing, without interfering with the type annotations and the help from your editor and other tools.

///

### Read Heroes with `HeroPublic` { #read-heroes-with-heropublic }

Wenn wir `-> HeroPublic` deklariert hätten, würden Ihr Editor und Linter (zu Recht) reklamieren, dass Sie ein `Hero` anstelle eines `HeroPublic` zurückgeben.

Durch die Deklaration in `response_model` sagen wir **FastAPI**, dass es seine Aufgabe erledigen soll, ohne die Typannotationen und die Hilfe von Ihrem Editor und anderen Tools zu beeinträchtigen.

///

/**
 * A semi-persistent mapping from keys to values. Cache entries are manually added using {@link
 * #get(Object, Callable)} or {@link #put(Object, Object)}, and are stored in the cache until either
 * evicted or manually invalidated. The common way to build instances is using {@link CacheBuilder}.
 *
 * <p>Implementations of this interface are expected to be thread-safe, and can be safely accessed
 * by multiple concurrent threads.
 *

```Python
commons = Depends(CommonQueryParams)
```

////

...as in:

{* ../../docs_src/dependencies/tutorial003_an_py310.py hl[19] *}

But declaring the type is encouraged as that way your editor will know what will be passed as the parameter `commons`, and then it can help you with code completion, type checks, etc:

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

## Shortcut { #shortcut }

```Python
commons = Depends(CommonQueryParams)
```

////

...como em:

{* ../../docs_src/dependencies/tutorial003_an_py310.py hl[19] *}

Mas declarar o tipo é encorajado por que é a forma que o seu editor de texto sabe o que será passado como valor do parâmetro `commons`, e assim ele pode ajudar com preenchimento automático, verificações de tipo, etc:

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

<div class="termy">

```console
$ python main.py

Hello World
```

</div>

## Configura Tu Editor { #configure-your-editor }

Probablemente usarías un editor, asegúrate de configurarlo para que use el mismo entorno virtual que creaste (probablemente lo autodetectará) para que puedas obtener autocompletado y errores en línea.

Por ejemplo:

      }
      b.append(',').append(' ');
    }
  }

  /**
   * Saves the state to a stream (that is, serializes it).
   *
   * @serialData The length of the array is emitted (int), followed by all of its elements (each a
   *     {@code double}) in the proper order.
   */
  private void writeObject(ObjectOutputStream s) throws IOException {
    s.defaultWriteObject();

你也可以把文件路径传给 `fastapi dev` 命令，它会猜测要使用的 FastAPI 应用对象：

```console
$ fastapi dev main.py
```

但每次运行 `fastapi` 命令都需要记得传入正确的路径。

另外，其他工具可能找不到它，例如 [VS Code 扩展](editor-support.md) 或 [FastAPI Cloud](https://fastapicloud.com)，因此推荐在 `pyproject.toml` 中使用 `entrypoint`。

## `fastapi dev` { #fastapi-dev }

当你运行 `fastapi dev` 时，它将以开发模式运行。

Sie müssen den Rückgabetyp für das Streamen von Binärdaten nicht wirklich annotieren.

Da FastAPI die Daten nicht mit Pydantic in JSON umzuwandeln oder sie anderweitig zu serialisieren versucht, ist die Typannotation hier nur für Ihren Editor und Tools relevant, sie wird von FastAPI nicht verwendet.

{* ../../docs_src/stream_data/tutorial001_py310.py ln[32:35] hl[33] *}