not include that field, the JSON sent to the client would not have
                    that `password`.
                * Validation: whatever you return will be serialized with the
                    `response_model`, converting any data as necessary to generate the
                    corresponding JSON. But if the data in the object returned is not

   *
   * If a challenge uses the `token68` variant instead of auth params, there is exactly one
   * auth param in the challenge at key null. Invalid headers and challenges are ignored.
   * No semantic validation is done, for example that `Basic` auth must have a `realm`
   * auth param, this is up to the caller that interprets these challenges.
   */
  fun challenges(): List<Challenge> {
    return headers.parseChallenges(

It doesn't mean "`one_person` is the **class** called `Person`".

## Pydantic models { #pydantic-models }

[Pydantic](https://docs.pydantic.dev/) is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

///

### JSON 스키마의 `examples` 필드 { #json-schemas-examples-field }

하지만, 후에 JSON 스키마는 [`examples`](https://json-schema.org/draft/2019-09/json-schema-validation.html#rfc.section.9.5) 필드를 명세서의 새 버전에 추가했습니다.

그리고 새로운 OpenAPI 3.1.0은 이 새로운 `examples` 필드가 포함된 최신 버전 (JSON 스키마 2020-12)을 기반으로 했습니다.

그리고 이제 이 새로운 `examples` 필드는 이제 지원 중단된, 예전의 단일 (그리고 커스텀) `example` 필드보다 우선됩니다.

	jsoniter "github.com/json-iterator/go"
	"github.com/minio/minio/internal/bpool"
)

// SigningMethodHMAC - Implements the HMAC-SHA family of signing methods signing methods
// Expects key type of []byte for both signing and validation
type SigningMethodHMAC struct {
	Name       string
	Hash       crypto.Hash
	HasherPool bpool.Pool[hash.Hash]
}

// Specific instances for HS256, HS384, HS512
var (
	SigningMethodHS256 *SigningMethodHMAC

    *   Make crictl command more user friendly and add more subcommands.
    *   Integrate with CRI verbose option to provide extra debug information.
    *   Update CRI to kubernetes v1.9.
    *   Bug fixes in validation test suites.

/// note | 注意

FastAPI 会因为默认值 `= None` 而知道 `q` 的值不是必填的。

将类型标注为 `str | None` 能让你的编辑器提供更好的辅助和错误检测。

///

## 额外校验 { #additional-validation }

我们打算添加约束：即使 `q` 是可选的，但只要提供了该参数，**其长度不能超过 50 个字符**。

### 导入 `Query` 和 `Annotated` { #import-query-and-annotated }

为此，先导入：

- 从 `fastapi` 导入 `Query`
- 从 `typing` 导入 `Annotated`

        if (StringUtil.isBlank(pipeline)) {
            return OptionalThing.empty();
        }
        return OptionalThing.of(pipeline);
    }

    /**
     * Refreshes the crawling configuration cache by invalidating all cached entries.
     * This forces the next access to reload configurations from the underlying services.
     */
    public void refresh() {
        crawlingConfigCache.invalidateAll();
    }

    /**

/// tip | Consejo

Para entender las variables de entorno, puedes leer [Variables de Entorno](../environment-variables.md).

///

## Tipos y validación { #types-and-validation }

```JSON
{"item_id":3}
```

/// check

注意你的函式接收（並回傳）的值是 `3`，也就是 Python 的 `int`，而不是字串 `"3"`。

因此，有了這個型別宣告，**FastAPI** 會自動為你處理請求的 <dfn title="將 HTTP 請求中的字串轉換為 Python 資料">「解析」</dfn>。

///

## 資料驗證 { #data-validation }

但如果你在瀏覽器前往 [http://127.0.0.1:8000/items/foo](http://127.0.0.1:8000/items/foo)，你會看到漂亮的 HTTP 錯誤：

```JSON
{
  "detail": [
    {
      "type": "int_parsing",
      "loc": [
        "path",