}

  // We need to test that our method behaves like the JDK method.
  @SuppressWarnings("InlineMeInliner")
  public void testCompare() {
    for (int x : VALUES) {
      for (int y : VALUES) {
        // note: spec requires only that the sign is the same
        assertWithMessage("%s, %s", x, y).that(Ints.compare(x, y)).isEqualTo(Integer.compare(x, y));
      }
    }
  }

  public void testContains() {

  }

  // We need to test that our method behaves like the JDK method.
  @SuppressWarnings("InlineMeInliner")
  public void testCompare() {
    for (float x : VALUES) {
      for (float y : VALUES) {
        // note: spec requires only that the sign is the same
        assertWithMessage("%s, %s", x, y).that(Floats.compare(x, y)).isEqualTo(Float.compare(x, y));
      }
    }
  }

  public void testContains() {

results = await some_library()
```

다음처럼 *경로 처리 함수*를 `async def`를 사용해 선언하십시오:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note | 참고

`async def`로 생성된 함수 내부에서만 `await`를 사용할 수 있습니다.

///

---

데이터베이스, API, 파일시스템 등과 의사소통하는 제3자 라이브러리를 사용하고, 그것이 `await` 사용을 지원하지 않는 경우(현재 대부분의 데이터베이스 라이브러리가 그러합니다), *경로 처리 함수*를 일반적인 `def`를 사용해 선언하십시오:

/// info | 說明

要使用表單，首先安裝 [`python-multipart`](https://github.com/Kludex/python-multipart)。

請先建立[虛擬環境](../virtual-environments.md)、啟用後再安裝，例如：

```console
$ pip install python-multipart
```

///

/// note | 注意

此功能自 FastAPI 版本 `0.113.0` 起支援。🤓

///

## 針對表單的 Pydantic 模型 { #pydantic-models-for-forms }

你只需要宣告一個 **Pydantic 模型**，包含你要接收為 **表單欄位** 的欄位，然後將參數宣告為 `Form`：

[Moshi](https://github.com/square/moshi) is a handy API for converting between JSON and Java objects. Here we're using it to decode a JSON response from a GitHub API.

Note that `ResponseBody.charStream()` uses the `Content-Type` response header to select which charset to use when decoding the response body. It defaults to `UTF-8` if no charset is specified.

=== ":material-language-kotlin: Kotlin"

results = await some_library()
```

然後，使用 `async def` 宣告你的*路徑操作函式*：


```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note | 注意

你只能在 `async def` 建立的函式內使用 `await`。

///

---

如果你使用的是第三方函式庫並且它需要與某些外部資源（例如資料庫、API、檔案系統等）進行通訊，但不支援 `await`（目前大多數資料庫函式庫都是這樣），在這種情況下，你可以像平常一樣使用 `def` 宣告*路徑操作函式*，如下所示：

```Python hl_lines="2"

results = await some_library()
```

然后，通过 `async def` 声明你的 *路径操作函数*：

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note | 注意

你只能在被 `async def` 创建的函数内使用 `await`

///

---

如果你正在使用一个第三方库和某些组件（比如：数据库、API、文件系统...）进行通信，第三方库又不支持使用 `await` （目前大多数数据库三方库都是这样），这种情况你可以像平常那样使用 `def` 声明一个路径操作函数，就像这样：

```Python hl_lines="2"

////

## Abas e caixas coloridas { #tabs-and-colored-boxes }

//// tab | Teste

/// info | Informação
Algum texto
///

/// note | Nota
Algum texto
///

/// note | Detalhes Técnicos
Algum texto
///

/// check | Verifique
Algum texto
///

/// tip | Dica
Algum texto
///

/// warning | Atenção
Algum texto
///

    Client->>Client: Process Item 1
    App->>Client: Send Item 2
    App->>App: Produce Item 3
    Client->>Client: Process Item 2
    App->>Client: Send Item 3
    Client->>Client: Process Item 3
    Note over App: Keeps producing...
    Note over Client: Keeps consuming...
```

Es könnte sogar ein unendlicher Stream sein, bei dem Sie kontinuierlich Daten senden.

## JSON Lines { #json-lines }

Dazu verwenden Sie den `TestClient` in einer `with`-Anweisung, eine Verbindung zum WebSocket herstellend:

{* ../../docs_src/app_testing/tutorial002_py310.py hl[27:31] *}

/// note | Hinweis

Weitere Informationen finden Sie in Starlettes Dokumentation zum [Testen von WebSockets](https://www.starlette.dev/testclient/#testing-websocket-sessions).