설정을 변경하지 않으면, 기본적으로 구문 강조 기능이 활성화되어 있습니다:

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

그러나 `syntaxHighlight`를 `False`로 설정하여 구문 강조 기능을 비활성화할 수 있습니다:

{* ../../docs_src/configure_swagger_ui/tutorial001_py310.py hl[3] *}

...그럼 Swagger UI에서 더 이상 구문 강조 기능이 표시되지 않습니다:

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

## 테마 변경 { #change-the-theme }

<img src="/img/tutorial/generate-clients/image02.png">

보낼 페이로드에 대해서도 자동 완성이 제공됩니다:

<img src="/img/tutorial/generate-clients/image03.png">

/// tip | 팁

`name`과 `price`에 대한 자동 완성은 FastAPI 애플리케이션에서 `Item` 모델에 정의된 내용입니다.

///

전송하는 데이터에 대해 인라인 오류도 표시됩니다:

<img src="/img/tutorial/generate-clients/image04.png">

응답 객체도 자동 완성을 제공합니다:

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 }

例如，你可以在 Swagger UI 中停用語法醒目提示（syntax highlighting）。

不更動設定時，語法醒目提示預設為啟用：

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

但你可以將 `syntaxHighlight` 設為 `False` 來停用它：

{* ../../docs_src/configure_swagger_ui/tutorial001_py310.py hl[3] *}

...然後 Swagger UI 就不會再顯示語法醒目提示：

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

## 更換主題 { #change-the-theme }

同樣地，你可以用鍵 `"syntaxHighlight.theme"` 設定語法醒目提示主題（注意中間有一個點）：

    echo ""
    echo "--- Image thumbnail tests (requires ImageMagick) ---"

    # Test: PNG thumbnail generation
    if [[ -f "${TEST_DIR}/400x400.png" ]]; then
        run_file_test "PNG thumbnail" "${OUTPUT_DIR}/png_thumb.png" \
            "${GENERATE_THUMBNAIL}" "image" "file:${TEST_DIR}/400x400.png" "${OUTPUT_DIR}/png_thumb.png" "image/png"
    fi

    # Test: JPEG thumbnail generation

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

You can type messages in the input box, and send them:

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

And your **FastAPI** application with WebSockets will respond back:

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

You can send (and receive) many messages:

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

            ClassLoader classLoader = Thread.currentThread().getContextClassLoader();
            File outputFile = File.createTempFile("generator_", ".png");

            String imagePath = "thumbnail/600x400.png";
            try (ImageInputStream input = ImageIO.createImageInputStream(classLoader.getResourceAsStream(imagePath))) {
                generator.saveImage(input, outputFile);
            }

![ambari-login](https://github.com/minio/minio/blob/master/docs/bigdata/images/image3.png?raw=true "ambari login")

### **3.1 Configure Hadoop**

Navigate to **Services** -> **HDFS** -> **CONFIGS** -> **ADVANCED** as shown below

![hdfs-configs](https://github.com/minio/minio/blob/master/docs/bigdata/images/image2.png?raw=true "hdfs advanced configs")

<img src="/img/tutorial/generate-clients/image02.png">

要发送的载荷也会有自动补全：

<img src="/img/tutorial/generate-clients/image03.png">

/// tip | 提示

请注意 `name` 和 `price` 的自动补全，它们是在 FastAPI 应用中的 `Item` 模型里定义的。

///

你发送的数据如果不符合要求，会在编辑器中显示内联错误：

<img src="/img/tutorial/generate-clients/image04.png">

响应对象同样有自动补全：

<img src="/img/tutorial/generate-clients/image05.png">

## 带有标签的 FastAPI 应用 { #fastapi-app-with-tags }

```python
from fastapi import FastAPI
from fastapi.responses import StreamingResponse
from app.utils import read_image

app = FastAPI()


class PNGStreamingResponse(StreamingResponse):
    media_type = "image/png"

@app.get("/image", response_class=PNGStreamingResponse)
def stream_image_no_async_no_annotation():
    with read_image() as image_file:
        yield from image_file
```