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"

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## Verificar el `username` y la forma de los datos

Verificamos que obtenemos un `username`, y extraemos los scopes.

Y luego validamos esos datos con el modelo de Pydantic (capturando la excepción `ValidationError`), y si obtenemos un error leyendo el token JWT o validando los datos con Pydantic, lanzamos la `HTTPException` que creamos antes.

        final CrawlingConfig crawlingConfig = crawlingConfigHelper.get(responseData.getSessionId());
        return crawlingConfig.getConfigParameterMap(config);
    }

    /**
     * Validates if the given URL string is a valid URL.
     *
     * @param urlStr the URL string to validate
     * @return true if the URL is valid, false otherwise
     */
    protected boolean isValidUrl(final String urlStr) {

Você pode utilizar todas as ferramentas e funcionalidades de validação que são utilizadas nos modelos do Pydantic, como tipos de dados diferentes e validações adicionei com `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001.py hl[2,5:8,11] *}

////

//// tab | Pydantic v1

/// info

	Code           string
	Description    string
	HTTPStatusCode int
	ObjectSize     int64
}

func (e batchReplicationJobError) Error() string {
	return e.Description
}

// Validate validates the job definition input
func (r *BatchJobReplicateV1) Validate(ctx context.Context, job BatchJobRequest, o ObjectLayer) error {
	if r == nil {
		return nil
	}

	if r.APIVersion != batchReplJobAPIVersion {

    name: "Validation"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v5
      - uses: gradle/actions/wrapper-validation@v4
      - name: Validate Renovate
        uses: rinchsan/renovate-config-validator@v0.2.0
        with:
          pattern: '.github/renovate.json'

  checkjdk11:
    permissions:
      checks: write # for mikepenz/action-junit-report
    runs-on: ubuntu-latest

    steps:

    * 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.Fatalf("MinIO %s: Failed to create an anonymous request for %s/%s: <ERROR> %v",
			instanceType, bucketName, objectName, err)
	}

	// ExecObjectLayerAPIAnonTest - Calls the HTTP API handler using the anonymous request, validates the ErrAccessDeniedResponse,
	// sets the bucket policy using the policy statement generated from `getWriteOnlyObjectStatement` so that the
	// unsigned request goes through and its validated again.

            } else {
              return Integer.compare(m1.getParameterTypes().length, m2.getParameterTypes().length);
            }
          }
        });
  }

  /** Validates that the given method's signature meets all of our assumptions. */
  private static void validateMethod(Method method) {
    String desc = method.toString();

    assertTrue(desc, isAnyEnter(method) || isWaitFor(method));

	if data.Size() < -1 {
		bugLogIf(ctx, errInvalidArgument, logger.ErrorKind)
		return pi, toObjectErr(errInvalidArgument)
	}

	uploadIDPath := er.getUploadIDDir(bucket, object, uploadID)
	// Validates if upload ID exists.
	fi, _, err := er.checkUploadIDExists(ctx, bucket, object, uploadID, true)
	if err != nil {
		if errors.Is(err, errVolumeNotFound) {
			return pi, toObjectErr(err, bucket)
		}