## 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);

* 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))

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.

    * Pydantic, JSON objen ne kadar derin (nested) olursa olsun doğrulamasını ve gösterimini yapıyor
* **Genişletilebilir**:
    * Pydantic özelleştirilmiş data tiplerinin tanımlanmasının yapılmasına izin veriyor ayrıca validator decoratorü ile senin doğrulamaları genişletip, kendi doğrulayıcılarını yazmana izin veriyor.

* Um parâmetro de consulta `skip` do tipo `int`, com valor padrão `0`.
* Um parâmetro de consulta `limit` do tipo `int`, com valor padrão `100`.

Os dados serão convertidos, validados, documentados no esquema da OpenAPI e etc nos dois casos.

## Utilizando

Agora você pode declarar sua dependência utilizando essa classe.

//// tab | Python 3.10+

```Python hl_lines="19"

## ঐচ্ছিক নির্ভরশীলতা

Pydantic দ্বারা ব্যবহৃত:

- <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - ইমেল যাচাইকরণের জন্য।

স্টারলেট দ্বারা ব্যবহৃত:

- <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - আপনি যদি `TestClient` ব্যবহার করতে চান তাহলে আবশ্যক।

## Opcionális követelmények

Pydantic által használt:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - e-mail validációkra.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - Beállítások követésére.

## Dependências opcionais

Usados por Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - para validação de email.

Usados por Starlette:

* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Necessário se você quiser utilizar o `TestClient`.