if b != '\r' || err != nil {
		if cr.debug {
			fmt.Printf("want %q, got %q\n", "\r", string(b))
		}
		cr.err = errMalformedEncoding
		return n, cr.err
	}
	b, err = cr.reader.ReadByte()
	if err == io.EOF {
		err = io.ErrUnexpectedEOF
	}
	if err != nil {
		cr.err = err
		return n, cr.err
	}
	if b != '\n' {
		if cr.debug {
			fmt.Printf("want %q, got %q\n", "\r", string(b))
		}

///

## Nachrichten erwarten und Nachrichten senden { #await-for-messages-and-send-messages }

In Ihrer WebSocket-Route können Sie Nachrichten `await`en und Nachrichten senden.

{* ../../docs_src/websockets/tutorial001_py39.py hl[48:52] *}

Sie können Binär-, Text- und JSON-Daten empfangen und senden.

* `seek(offset)`: 파일 내 `offset`(`int`) 위치의 바이트로 이동합니다.
    * 예) `await myfile.seek(0)` 를 사용하면 파일의 시작부분으로 이동합니다.
    * `await myfile.read()` 를 사용한 후 내용을 다시 읽을 때 유용합니다.
* `close()`: 파일을 닫습니다.

상기 모든 메소드들이 `async` 메소드이기 때문에 “await”을 사용하여야 합니다.

예를들어, `async` *경로 작동 함수*의 내부에서 다음과 같은 방식으로 내용을 가져올 수 있습니다:

```Python
contents = await myfile.read()
```

You can import it directly from `fastapi`:

```python
from fastapi import Request
```

/// tip

When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.

///

When deploying applications you will probably want to have some **replication of processes** to take advantage of **multiple cores** and to be able to handle more requests.

* `read(size)`: Lê `size` (`int`) bytes/caracteres do arquivo.
* `seek(offset)`: Vai para o byte na posição `offset` (`int`) no arquivo.
    * Por exemplo, `await myfile.seek(0)` irá para o início do arquivo.
    * Isso é especialmente útil se você executar `await myfile.read()` uma vez e precisar ler o conteúdo novamente.
* `close()`: Fecha o arquivo.

Como todos esses métodos são métodos `assíncronos`, você precisa "aguardar" por eles.

And you could have a single dependency that requires several other dependencies with `yield`, etc.

You can have any combinations of dependencies that you want.

**FastAPI** will make sure everything is run in the correct order.

/// note | Technical Details

# `HTTPConnection` class

When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.

You can import it from `fastapi.requests`:

```python
from fastapi.requests import HTTPConnection
```

# SQL (Relational) Databases { #sql-relational-databases }

**FastAPI** doesn't require you to use a SQL (relational) database. But you can use **any database** that you want.

Here we'll see an example using <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a>.

    * Flatbuffer version update:
        * `GetTemporaryPointer()` bug fixed.

* `tf.data`
    * Add `wait` to `tf.data.Dataset.load`. If `True`, for snapshots written with `distributed_save`, it reads the snapshot while it is being written. For snapshots written with regular `save`, it waits for the snapshot until it's finished. The default is `False` for backward compatibility. Users of `distributed_save` are recommended to set it to `True`.