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

如下所示：

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

## 隨處可得的編輯器支援 { #editor-support-everywhere }

你將在各處獲得編輯器支援。

即使是列表中的項目也一樣：

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

若直接操作 `dict` 而不是使用 Pydantic 模型，就無法獲得這種等級的編輯器支援。

但你也不必擔心，傳入的 dict 會自動被轉換，而你的輸出也會自動轉換為 JSON。

## Build Docker Image

You can use the `docker build .` command to build a Docker image on your local host machine.
You must first [build MinIO](#install-from-source) and ensure the `minio` binary exists in the project root.

The following command builds the Docker image using the default `Dockerfile` in the root project directory with the repository and image tag `myminio:minio`

```sh

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

comme :

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

## Bénéficier de la prise en charge de l'éditeur partout { #editor-support-everywhere }

Et vous bénéficiez de la prise en charge de l'éditeur partout.

Même pour les éléments à l'intérieur des listes :

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

///

## Corpos de listas puras { #bodies-of-pure-lists }

Se o valor de primeiro nível do corpo JSON que você espera for um `array` do JSON (uma` lista` do Python), você pode declarar o tipo no parâmetro da função, da mesma forma que nos modelos do Pydantic:

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

como em:

    const sponsorImages = document.querySelectorAll('.sponsor-image');

    const imagePromises = Array.from(sponsorImages).map(img => {
        return new Promise((resolve, reject) => {
            if (img.complete && img.naturalHeight !== 0) {
                resolve();
            } else {
                img.addEventListener('load', () => {
                    if (img.naturalHeight !== 0) {
                        resolve();

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

例如：

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

## 无处不在的编辑器支持 { #editor-support-everywhere }

你可以随处获得编辑器支持。

即使是列表中的元素：

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

如果你直接使用 `dict` 而不是 Pydantic 模型，那你将无法获得这种编辑器支持。

### Notes

* By default the Docker Compose file uses the Docker image for latest MinIO server release. You can change the image tag to pull a specific [MinIO Docker image](https://hub.docker.com/r/minio/minio/).

/// info | 정보

`Offer`가 `Item`의 리스트를 가지고, 그 `Item`이 다시 선택 사항인 `Image` 리스트를 갖는지 주목하세요

///

## 순수 리스트의 본문 { #bodies-of-pure-lists }

예상되는 JSON 본문의 최상위 값이 JSON `array`(파이썬 `list`)라면, Pydantic 모델에서와 마찬가지로 함수의 매개변수에서 타입을 선언할 수 있습니다:

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

이를 아래처럼:

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

For example, you can add an additional media type of `image/png`, declaring that your *path operation* can return a JSON object (with media type `application/json`) or a PNG image:

{* ../../docs_src/additional_responses/tutorial002_py310.py hl[17:22,26] *}

/// note

Notice that you have to return the image using a `FileResponse` directly.

///

/// info

## Container Image Nedir { #what-is-a-container-image }

Bir **container**, bir **container image**'dan çalıştırılır.