See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_ABSTRACT_FUNCTION_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_FUNCTION_H_

#include "absl/status/statusor.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/platform/intrusive_ptr.h"
#include "tensorflow/core/platform/refcount.h"

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_

#include "absl/container/inlined_vector.h"
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/types.pb.h"

Si vous voulez sécuriser votre API, il y a plusieurs meilleures approches possibles, par exemple :

* Vous devez vous assurer d'avoir des modèles Pydantic bien définis pour le corps de la requête et la réponse.
* Configurez toutes les autorisations et tous les rôles nécessaires à l'aide de dépendances.
* Ne stockez jamais de mots de passe en clair, seulement des hachages de mots de passe.

## Classe de resposta padrão { #default-response-class }

Quando você criar uma instância da classe **FastAPI** ou um `APIRouter` você pode especificar qual classe de resposta utilizar por padrão.

O parâmetro que define isso é o `default_response_class`.

No exemplo abaixo, o **FastAPI** utilizará `HTMLResponse` por padrão, em todas as *operações de rota*, em vez de JSON.

{* ../../docs_src/custom_response/tutorial010_py310.py hl[2,4] *}

# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#

#
# Maven user properties
#
# The properties defined in this file will be made available through
# user properties at the very beginning of Maven's boot process.
#

# Comma-separated list of files to include.

{* ../../docs_src/request_form_models/tutorial001_an_py310.py hl[9:11,15] *}

**FastAPI** will **extract** the data for **each field** from the **form data** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can verify it in the docs UI at `/docs`:

<div class="screenshot">
<img src="/img/tutorial/request-form-models/image01.png">
</div>

 */
@DisplayName("DfsReferralData Interface Tests")
class DfsReferralDataTest extends BaseTest {

    @Mock
    private DfsReferralData mockReferralData;

    @Test
    @DisplayName("Should define interface methods")
    void testDfsReferralDataInterface() {
        // Verify interface methods exist
        assertDoesNotThrow(() -> {
            mockReferralData.unwrap(DfsReferralData.class);

///

## Gérer les erreurs et les valeurs de retour des dépendances { #dependencies-errors-and-return-values }

Vous pouvez utiliser les mêmes *fonctions* de dépendance que d'habitude.

### Définir les exigences des dépendances { #dependency-requirements }

Elles peuvent déclarer des exigences pour la requête (comme des en-têtes) ou d'autres sous-dépendances :

public class CollectionSerializationEqualTester<E> extends AbstractCollectionTester<E> {
  @CollectionFeature.Require(SERIALIZABLE)
  /*
   * As the class docs say, this test only makes sense for collections that define equals().
   * Accordingly, our testing framework adds it only when testing an implementation of List, Set, or
   * Multiset.
   */
  @SuppressWarnings("UndefinedEquals")
  public void testReserialize() {

public class CollectionSerializationEqualTester<E> extends AbstractCollectionTester<E> {
  @CollectionFeature.Require(SERIALIZABLE)
  /*
   * As the class docs say, this test only makes sense for collections that define equals().
   * Accordingly, our testing framework adds it only when testing an implementation of List, Set, or
   * Multiset.
   */
  @SuppressWarnings("UndefinedEquals")
  public void testReserialize() {