## תלויות אופציונליות

בשימוש Pydantic:

-   <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - לאימות כתובות אימייל.

בשימוש Starlette:

-   <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - דרוש אם ברצונכם להשתמש ב - `TestClient`.

import java.util.concurrent.ExecutionException;

/**
 * A semi-persistent mapping from keys to values. Values are automatically loaded by the cache, and
 * are stored in the cache until either evicted or manually invalidated. The common way to build
 * instances is using {@link CacheBuilder}.
 *
 * <p>Implementations of this interface are expected to be thread-safe, and can be safely accessed
 * by multiple concurrent threads.
 *

	if !owner {
		return errAuthentication
	}

	return nil
}

// Authenticates storage client's requests and validates for skewed time.
func storageServerRequestValidate(r *http.Request) error {
	token, err := jwtreq.AuthorizationHeaderExtractor.ExtractToken(r)
	if err != nil {
		if err == jwtreq.ErrNoTokenInRequest {

## 선택가능한 의존성

Pydantic이 사용하는:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - 이메일 유효성 검사.

Starlette이 사용하는:

* <a href="https://www.python-httpx.org" target="_blank"><code>HTTPX</code></a> - `TestClient`를 사용하려면 필요.

            System.setProperties(oldProps);
        }
    }

    protected int doInvoke(C context) throws Exception {
        pushProperties(context);
        validate(context);
        prepare(context);
        configureLogging(context);
        activateLogging(context);
        helpOrVersionAndMayExit(context);
        preCommands(context);
        container(context);

		if err != nil {
			return err
		}
		ctxt.Layout.pools = append(ctxt.Layout.pools, poolDisksLayout{cmdline: arg, layout: setArgs})
	}
	return
}

// CreateServerEndpoints - validates and creates new endpoints from input args, supports
// both ellipses and without ellipses transparently.
func createServerEndpoints(serverAddr string, poolArgs []poolDisksLayout, legacy bool) (

* GCI: Update the command to get the image ([#24987](https://github.com/kubernetes/kubernetes/pull/24987), [@andyzheng0831](https://github.com/andyzheng0831))
* Validate deletion timestamp doesn't change on update ([#24839](https://github.com/kubernetes/kubernetes/pull/24839), [@liggitt](https://github.com/liggitt))

Você já pode experimentar na documentação interativa:

<img src="/img/tutorial/security/image03.png">

Não estamos verificando a validade do token ainda, mas isso já é um começo

## Recapitulando

Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`).

### Use the `settings`

Then you can use the new `settings` object in your application:

    * Sie können tief **verschachtelte JSON** Objekte haben, die alle validiert und annotiert sind.
* **Erweiterbar**:
    * Pydantic erlaubt die Definition von eigenen Datentypen oder sie können die Validierung mit einer `validator`-dekorierten Methode im Modell erweitern.