assertNotNull(constraint);
        Class<?>[] validators = constraint.validatedBy();
        assertEquals(1, validators.length);
        assertEquals(CronExpressionValidator.class, validators[0]);
    }

    // Test validation with valid cron expressions
    @Test
    public void test_validCronExpressions() {

You can declare additional validations and metadata for your parameters.

Generic validations and metadata:

* `alias`
* `title`
* `description`
* `deprecated`

Validations specific for strings:

* `min_length`
* `max_length`
* `pattern`

Custom validations using `AfterValidator`.

In these examples you saw how to declare validations for `str` values.

├── auth/                      # Authentication management
├── ldap/                      # LDAP integration
├── filter/                    # Servlet filters
├── validation/                # Custom validators
├── dict/                      # Dictionary management
└── ds/                        # Data store connectors

src/main/resources/
├── fess_config.properties     # Main configuration

`Annotated` 안에서 [Pydantic의 `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator)를 사용하면 이를 구현할 수 있습니다.

/// tip | 팁

Pydantic에는 [BeforeValidator](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator)와 같은 다른 것들도 있습니다. 🤓

///

これを行うには、`Annotated` の中で [Pydantic の `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) を使います。

/// tip | 豆知識

Pydantic には [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) などもあります。 🤓

///

在这些情况下，你可以使用**自定义校验函数**，该函数会在正常校验之后应用（例如，在先校验值是 `str` 之后）。

你可以在 `Annotated` 中使用 [Pydantic 的 `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) 来实现。

/// tip | 提示

Pydantic 还有 [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) 等。🤓

///

    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**:
    * Pydantic allows custom data types to be defined or you can extend validation with methods on a model decorated with the validator decorator.

 - ACTION REQUIRED:
  
  vendor: Updated `k8s.io/system-validators` to `v1.12.1`. The cgroups validator now throws an error instead of a warning if cgroups v1 is detected on the host and the provided KubeletVersion is `v1.35` or newer.
  

## Recapitulando { #recap }

Você pode declarar validações adicionais e metadados para seus parâmetros.

Validações e metadados genéricos:

* `alias`
* `title`
* `description`
* `deprecated`

Validações específicas para strings:

* `min_length`
* `max_length`
* `pattern`

Validações personalizadas usando `AfterValidator`.

- Vendor: updated system-validators to v1.9.0. ([#128149](https://github.com/kubernetes/kubernetes/pull/128149), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle and Node]
- Vendor: updated system-validators to v1.9.1. ([#128533](https://github.com/kubernetes/kubernetes/pull/128533), [@neolit123](https://github.com/neolit123))