"hash/crc32"
	"net/http"
	"strconv"
	"sync/atomic"
	"time"

	xhttp "github.com/minio/minio/internal/http"
)

// A message is in the format specified in
// https://docs.aws.amazon.com/AmazonS3/latest/API/images/s3select-frame-diagram-frame-overview.png
// hence the calculation is made accordingly.
func totalByteLength(headerLength, payloadLength int) int {
	return 4 + 4 + 4 + headerLength + payloadLength + 4
}

![Events Diagram](../assets/images/******@****.***)

Here’s a [sample event listener](https://github.com/square/okhttp/blob/master/samples/guide/src/main/java/okhttp3/recipes/PrintEventsNonConcurrent.java) that prints each event with a timestamp.

```java

/// 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] *}

        "metal",
        "bar"
    ],
    "images": [
        {
            "url": "http://example.com/baz.jpg",
            "name": "The Foo live"
        },
        {
            "url": "http://example.com/dave.jpg",
            "name": "The Baz"
        }
    ]
}
```

/// info

Notice how the `images` key now has a list of image objects.

///

1. Add an Emulator named `pixel5`, if you don't already have one

```
$ sdkmanager --install "system-images;android-29;google_apis;x86"
$ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86"
```

2. Run an Emulator using Android Studio or from command line.

```

    }

    /**
     * Determines the MIME type of an image file based on its file extension.
     *
     * @param imageFile the image file
     * @return the MIME type string
     */
    protected String getImageMimeType(final File imageFile) {
        final String path = imageFile.getAbsolutePath();
        if (path.endsWith(".png")) {
            return "image/png";
        }
        if (path.endsWith(".gif")) {

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):

}

// Continuation Message
// ====================
// Header specification
// --------------------
// Continuation messages contain two headers, as follows:
// https://docs.aws.amazon.com/AmazonS3/latest/API/images/s3select-frame-diagram-cont.png
//
// Payload specification
// ---------------------
// Continuation messages have no payload.
func genContinuationMessage() {
	buf := new(bytes.Buffer)

	buf.WriteByte(13)

        "rock",
        "metal",
        "bar"
    ],
    "images": [
        {
            "url": "http://example.com/baz.jpg",
            "name": "The Foo live"
        },
        {
            "url": "http://example.com/dave.jpg",
            "name": "The Baz"
        }
    ]
}
```

/// 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 }

# Static Files - `StaticFiles`

You can use the `StaticFiles` class to serve static files, like JavaScript, CSS, images, etc.

Read more about it in the [FastAPI docs for Static Files](https://fastapi.tiangolo.com/tutorial/static-files/).

You can import it directly from `fastapi.staticfiles`:

```python
from fastapi.staticfiles import StaticFiles
```