## Bodys aus reinen Listen

Wenn Sie möchten, dass das äußerste Element des JSON-Bodys ein JSON-`array` (eine Python-`list`e) ist, können Sie den Typ im Funktionsparameter deklarieren, mit der gleichen Syntax wie in Pydantic-Modellen:

```Python
images: List[Image]
```

oder in Python 3.9 und darüber:

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

so wie in:

## Тела с чистыми списками элементов

Если верхний уровень значения тела JSON-объекта представляет собой JSON `array` (в Python - `list`), вы можете объявить тип в параметре функции, так же, как в моделях Pydantic:

```Python
images: List[Image]
```

в Python 3.9 и выше:

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

например так:

    ```

Now you can go to <a href="http://127.0.0.1:8008" class="external-link" target="_blank">http://127.0.0.1:8008</a> and see your changes live.

You will see that every language has all the pages. But some pages are not translated and have an info box at the top, about the missing translation.

Now let's say that you want to add a translation for the section [Features](features.md){.internal-link target=_blank}.

!!! tip
    Don't worry if some of these items about **containers**, Docker, or Kubernetes don't make a lot of sense yet.

!!! warning
    There's a high chance that you **don't** need this base image or any other similar one, and would be better off by building the image from scratch as [described above in: Build a Docker Image for FastAPI](#build-a-docker-image-for-fastapi).

This image has an **auto-tuning** mechanism included to set the **number of worker processes** based on the CPU cores available.

---

Des exemples communs d'opérations "CPU bounds" sont les procédés qui requièrent des traitements mathématiques complexes.

Par exemple :

* Traitements d'**audio** et d'**images**.
* La **vision par ordinateur** : une image est composée de millions de pixels, chaque pixel ayant 3 valeurs / couleurs, les traiter tous va nécessiter d'effectuer des traitements sur chaque pixel, et de préférence tous en même temps.

image01.png...

image02.png...

image04.png...

image04.png...