* 使用 Pydantic 模型時，你可以把資料結構分層設計，並且用 Python 的 `List` 和 `Dict` 等型別來定義。
    * 驗證器讓我們可以輕鬆地定義和檢查複雜的資料結構，並把它們轉換成 JSON Schema 進行記錄。
    * 你可以擁有深層**巢狀的 JSON** 物件，並對它們進行驗證和註釋。
* **可擴展**：
    * Pydantic 讓我們可以定義客製化的資料型別，或者你可以使用帶有 validator 裝飾器的方法來擴展模型中的驗證功能。

		t.Errorf("Test %d: scope request mismatch:Expected \"%s\", got \"%s\"", testNum, expectedCredentials.scope.request, actualCredential.scope.request)
	}
}

// TestParseCredentialHeader - validates the format validator and extractor for the Credential header in an aws v4 request.
// A valid format of credential should be of the following format.
// Credential = accessKey + SlashSeparator+ scope

Wanneer je FastAPI installeert met `pip install "fastapi[standard]"`, worden de volgende `standard` optionele afhankelijkheden geïnstalleerd:

Gebruikt door Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email_validator</code></a> - voor email validatie.

Gebruikt door Starlette:

func TestObjectAPIIsUploadIDExists(t *testing.T) {
	ExecObjectLayerTest(t, testObjectAPIIsUploadIDExists)
}

// Tests validates the validator for existence of uploadID.
func testObjectAPIIsUploadIDExists(obj ObjectLayer, instanceType string, t TestErrHandler) {
	bucket := "minio-bucket"
	object := "minio-object"

* Walidacja **złożonych struktur**:
    * Wykorzystanie hierarchicznych modeli Pydantic, Pythonowego modułu `typing` zawierającego `List`, `Dict`, itp.
    * Walidatory umożliwiają jasne i łatwe definiowanie, sprawdzanie złożonych struktur danych oraz dokumentowanie ich jako JSON Schema.
    * Możesz mieć głęboko **zagnieżdżone obiekty JSON** i wszystkie je poddać walidacji i adnotować.

- Update the setcap image to buster-v2.0.1. ([#102377](https://github.com/kubernetes/kubernetes/pull/102377), [@xmudrii](https://github.com/xmudrii))
- Update the system-validators library to v1.5.0. Includes validation for `seccomp` and fixes a stdout/stderr problem in the Docker validator. ([#103390](https://github.com/kubernetes/kubernetes/pull/103390), [@ironyman](https://github.com/ironyman))
- Updates the following images to pick up CVE fixes:

- The AnyVolumeDataSource feature is now beta, and the feature gate is enabled by default. In order to provide user feedback on PVCs with data sources, deployers must install the VolumePopulators CRD and the data-source-validator controller. ([#108736](https://github.com/kubernetes/kubernetes/pull/108736), [@bswartz](https://github.com/bswartz))

* 🔨 Specify `email-validator` dependency with dash. PR [#11515](https://github.com/fastapi/fastapi/pull/11515) by [@jirikuncar](https://github.com/jirikuncar).

* **Extensível**:
    * Pydantic permite que tipos de dados personalizados sejam definidos ou você pode estender a validação com métodos em um modelo decorado com seu decorador de validador.

* Validate **các cấu trúc phức tạp**:
    * Sử dụng các models Pydantic phân tầng, `List` và `Dict` của Python `typing`,...
    * Và các validators cho phép các cấu trúc dữ liệu phức tạp trở nên rõ ràng và dễ dàng để định nghĩa, kiểm tra và tài liệu hóa thành JSON Schema.
    * Bạn có thể có các object **JSON lồng nhau** và tất cả chúng đã validate và annotated.