version: '3.7'

# Settings and configurations that are common for all containers
x-minio-common: &minio-common
  image: quay.io/minio/minio:${RELEASE}
  command: server http://site1-minio{1...4}/data{1...2}
  environment:
    - MINIO_PROMETHEUS_AUTH_TYPE=public
    - CI=true

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  site1-minio1:

///

## Modèles profondément imbriqués { #deeply-nested-models }

Vous pouvez définir des modèles imbriqués à une profondeur arbitraire :

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info

Remarquez que `Offer` a une liste d’`Item`, qui à leur tour ont une liste optionnelle d’`Image`.

///

  background: currentColor;
  -webkit-mask-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' fill='none' stroke='currentColor' stroke-width='2.5' stroke-linecap='round' stroke-linejoin='round'%3E%3Crect x='3' y='7' width='14' height='14' rx='2'/%3E%3Cpath d='M7 3h14v14'/%3E%3C/svg%3E");
  -webkit-mask-size: contain;
  -webkit-mask-repeat: no-repeat;

                                    }
                                }
                            },
                            "required": True,
                        },
                    }
                }
            },
            "components": {
                "schemas": {
                    "Image": {
                        "properties": {

        }
    ]
}
```

/// info

注意 `images` 鍵現在是一個由 image 物件組成的列表。

///

## 深度巢狀模型 { #deeply-nested-models }

你可以定義任意深度的巢狀模型：

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info

請注意，`Offer` 具有一個 `Item` 的列表，而每個 `Item` 又有一個可選的 `Image` 列表。

///

## 純列表的本文 { #bodies-of-pure-lists }

  private static final String IMGUR_CLIENT_ID = "9199fdef135c122";
  private static final MediaType MEDIA_TYPE_PNG = MediaType.get("image/png");

  private final OkHttpClient client = new OkHttpClient();

  public void run() throws Exception {
    // Use the imgur image upload API as documented at https://api.imgur.com/endpoints/image
    final ProgressListener progressListener = new ProgressListener() {
      boolean firstUpdate = true;

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()
    images: list[Image] | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

    when {
      file.name.endsWith(".css") -> "text/css"
      file.name.endsWith(".gif") -> "image/gif"
      file.name.endsWith(".html") -> "text/html"
      file.name.endsWith(".jpeg") -> "image/jpeg"
      file.name.endsWith(".jpg") -> "image/jpeg"
      file.name.endsWith(".js") -> "application/javascript"
      file.name.endsWith(".png") -> "image/png"
      else -> "text/plain"
    }

  private fun Socket.peerName(): String {

///

## Bodys aus reinen Listen { #bodies-of-pure-lists }

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

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

so wie in:

A pull request is not a finished product—it is the start of a conversation, and an implied contract: we promise to provide thoughtful feedback, and we expect the contributor to engage with us in return.

## What we expect from contributors