* <a href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>Warning:</b> The methods of {@code ForwardingSortedMap} forward <i>indiscriminately</i> to
 * the methods of the delegate. For example, overriding {@link #put} alone <i>will not</i> change
 * the behavior of {@link #putAll}, which can lead to unexpected behavior. In this case, you should

/// tip | Dica

Se você quiser transmitir dados binários, por exemplo vídeo ou áudio, veja o guia avançado: [Stream de Dados](../advanced/stream-data.md).

///

## Transmitir SSE com FastAPI { #stream-sse-with-fastapi }

OpenID Connect é outra especificação, baseada em **OAuth2**.

Ela é apenas uma extensão do OAuth2 especificando algumas coisas que são relativamente ambíguas no OAuth2, para tentar torná-lo mais interoperável.

Por exemplo, o login do Google usa OpenID Connect (que por baixo dos panos usa OAuth2).

Mas o login do Facebook não tem suporte para OpenID Connect. Ele tem a própria implementação do OAuth2.

`TestClient` 在內部做了一些魔法，讓我們能在一般的 `def` 測試函式中，使用標準 pytest 來呼叫非同步的 FastAPI 應用。但當我們在非同步函式中使用它時，這個魔法就不再奏效了。也就是說，當以非同步方式執行測試時，就不能在測試函式內使用 `TestClient`。

`TestClient` 是建立在 [HTTPX](https://www.python-httpx.org) 之上，所幸我們可以直接使用它來測試 API。

## 範例 { #example }

作為簡單範例，讓我們考慮與[更大型的應用](../tutorial/bigger-applications.md)與[測試](../tutorial/testing.md)中描述的類似檔案結構：

```
.
├── app
│   ├── __init__.py
│   ├── main.py
│   └── test_main.py
```

檔案 `main.py` 會是：

    price: float
    tax: float | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Annotated[
        Item,
        Body(
            examples=[
                {
                    "name": "Foo",
                    "description": "A very nice Item",
                    "price": 35.4,
                    "tax": 3.2,
                },
                {

   * never use this method, preferring instead to call {@code requireNonNull} so as to benefit from
   * its runtime check.
   *
   * <p>An example use case for this method is in implementing an {@code Iterator<T>} whose {@code
   * next} field is lazily initialized. The type of that field would be {@code @Nullable T}, and the

You can also combine `dataclasses` with other type annotations to make nested data structures.

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

### 2. Set bucket WORM configuration

WORM on a bucket is enabled by setting object lock configuration. This configuration is applied to all the objects in the bucket. Below is an example to set `Governance` mode and one day retention time on `mybucket`.

```sh

 *
 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes
 * indexes} is generally less than the total time taken to compute each of them separately, and
 * sometimes much less. For example, on a large enough dataset, computing the 90th and 99th
 * percentiles together takes about 55% as long as computing them separately.
 *

{* ../../docs_src/handling_errors/tutorial001_py310.py hl[11] *}

### 결과 응답 { #the-resulting-response }

클라이언트가 `http://example.com/items/foo`( `item_id` `"foo"`)를 요청하면, HTTP 상태 코드 200과 다음 JSON 응답을 받습니다:

```JSON
{
  "item": "The Foo Wrestlers"
}
```

하지만 클라이언트가 `http://example.com/items/bar`(존재하지 않는 `item_id` `"bar"`)를 요청하면, HTTP 상태 코드 404("not found" 오류)와 다음 JSON 응답을 받습니다:

```JSON
{