Без изменения настроек подсветка синтаксиса включена по умолчанию:

<img src="/img/tutorial/extending-openapi/image02.png">

Но вы можете отключить её, установив `syntaxHighlight` в `False`:

{* ../../docs_src/configure_swagger_ui/tutorial001_py39.py hl[3] *}

…и после этого Swagger UI больше не будет показывать подсветку синтаксиса:

<img src="/img/tutorial/extending-openapi/image03.png">

## Изменить тему { #change-the-theme }

您将看到一个简单的页面，如下所示：

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

您可以在输入框中输入消息并发送：

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

您的 **FastAPI** 应用程序将回复：

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

您可以发送（和接收）多条消息：

<img src="/img/tutorial/websockets/image04.png">

所有这些消息都将使用同一个 WebSocket 连

接。

## 使用 `Depends` 和其他依赖项

<img src="/img/deployment/https/https01.drawio.svg">

### TLS Handshake Start { #tls-handshake-start }

The browser would then communicate with that IP address on **port 443** (the HTTPS port).

The first part of the communication is just to establish the connection between the client and the server and to decide the cryptographic keys they will use, etc.

<img src="/img/deployment/https/https02.drawio.svg">

  <build>
    <resources>
      <resource>
        <directory>.</directory>
        <includes>
          <include>pom.xml</include>
          <include>src/**</include>
        </includes>
      </resource>
      <resource>
        <directory>src/main/resources</directory>
      </resource>
    </resources>
  </build>

<p align="center"><img width="350px" src="jstream.png" alt="jstream"/></p>

#

[![GoDoc](https://godoc.org/github.com/bcicen/jstream?status.svg)](https://godoc.org/github.com/bcicen/jstream)


`jstream` is a streaming JSON parser and value extraction library for Go.

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

Et seront aussi utilisés dans chaque *opération de chemin* de la documentation utilisant ces modèles :

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

## Support de l'éditeur

간단한 페이지가 나타날 것입니다:

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

입력창에 메시지를 입력하고 전송할 수 있습니다:

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

**FastAPI** WebSocket 응용 프로그램이 응답을 돌려줄 것입니다:

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

여러 메시지를 전송(그리고 수신)할 수 있습니다:

<img src="/img/tutorial/websockets/image04.png">

모든 메시지는 동일한 WebSocket 연결을 사용합니다.

The JSON Schemas of your models will be part of your OpenAPI generated schema, and will be shown in the interactive API docs:

<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 }

    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/fastapi" target="_blank">
    <img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/fastapi.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/fastapi" target="_blank">

					},

					// func copyBytesToGo(dst []byte, src ref) (int, bool)
					"syscall/js.copyBytesToGo": (sp) => {
						sp >>>= 0;
						const dst = loadSlice(sp + 8);
						const src = loadValue(sp + 32);
						if (!(src instanceof Uint8Array || src instanceof Uint8ClampedArray)) {
							this.mem.setUint8(sp + 48, 0);
							return;
						}
						const toCopy = src.subarray(0, dst.length);
						dst.set(toCopy);