return nil, nil, fmt.Errorf("xlMetaV2.Load version(%d), CRC mismatch, want 0x%x, got 0x%x", minor, crc, got)
		}
	} else {
		return nil, nil, err
	}
	data = buf
	if data.validate() != nil {
		data.repair()
	}

	return meta, data, nil
}

type xlMetaV2ShallowVersion struct {
	header xlMetaV2VersionHeader
	meta   []byte
}

		return nil, err
	}
	return &req, nil
}

// validate a RestoreObjectRequest as per AWS S3 spec https://docs.aws.amazon.com/AmazonS3/latest/API/API_RestoreObject.html
func (r *RestoreObjectRequest) validate(ctx context.Context, objAPI ObjectLayer) error {
	if r.Type != SelectRestoreRequest && !r.SelectParameters.IsEmpty() {

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` { #use-the-settings }

		return entries, err
	}

	// Marker points to before the prefix, just ignore it.
	if o.Marker < o.Prefix {
		o.Marker = ""
	}

	// Marker is set validate pre-condition.
	if o.Marker != "" && o.Prefix != "" {
		// Marker not common with prefix is not implemented. Send an empty response
		if !HasPrefix(o.Marker, o.Prefix) {
			return entries, io.EOF
		}
	}

* **Extensible**:
    * Pydantic permite definir tipos de datos personalizados o puedes extender la validación con métodos en un modelo decorados con el decorador validator.

想了解更多訊息，可以參考 <a href="https://fastapi.tiangolo.com/benchmarks/" class="internal-link" target="_blank">測試結果</a>。

## 可選的依賴套件

用於 Pydantic：

- <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - 用於電子郵件驗證。
- <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - 用於設定管理。

## Dépendances facultatives

Utilisées par Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - pour la validation des adresses email.

Utilisées par Starlette :

        return previousClusterState.getAndSet(status) != status;
    }

    /**
     * Creates a new action validator.
     *
     * @param requestManager  The request manager.
     * @param messagesCreator The messages creator.
     * @param runtimeGroups   The runtime groups.
     * @return A new action validator.
     */
    public ActionValidator<FessMessages> createValidator(final RequestManager requestManager,

    * 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.

    * 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.