resultField.set(bindWithParams, 0);
            assertNull(bindWithParams.getResult(), "Should return null when result is 0");
        }
    }

    @Nested
    @DisplayName("Integration Tests")
    class IntegrationTests {

        @Test
        @DisplayName("Bind message constructor should set correct values")
        void testBindMessageConstructor() throws Exception {
            // Given

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

* Cliquez ensuite sur le bouton "Execute", l'interface utilisateur communiquera avec votre API, enverra les paramètres, obtiendra les résultats et les affichera à l'écran :

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png)

            assertNotNull(response);
            // Response should be created with same buffer and offset
        }
    }

    @Nested
    @DisplayName("Integration Tests")
    class IntegrationTests {

        @Test
        @DisplayName("Should handle complete read request workflow")
        void testCompleteReadWorkflow() {
            // Setup complete request

just getting started, GitHub has a
[how-to](https://help.github.com/articles/using-pull-requests/).

TensorFlow team members will be assigned to review your pull requests. Once the
pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After

![Swagger UI Interaktion](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

* Klicken Sie dann auf die Taste „Execute“, die Benutzeroberfläche wird mit Ihrer API kommunizieren, sendet die Parameter, holt die Ergebnisse und zeigt sie auf dem Bildschirm an:

![Swagger UI Interaktion](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png)

            // Then
            assertEquals(fileFsSizeInfo.getCapacity(), fileFsSizeInfo.getFree());
        }
    }

    @Nested
    @DisplayName("Integration Tests")
    class IntegrationTests {

        @Test
        @DisplayName("Should work as AllocInfo implementation")
        void shouldWorkAsAllocInfoImplementation() throws SMBProtocolDecodingException {

/**
 * Secure key management for SMB encryption.
 * Provides centralized management of encryption keys with secure storage and cleanup.
 *
 * Features:
 * - Secure key storage with optional KeyStore integration
 * - Automatic key cleanup on close
 * - Thread-safe key management
 * - Key derivation utilities
 * - Memory wiping capabilities
 */
public class SecureKeyManager implements AutoCloseable {

It had a dependency injection system. It required pre-registration of components, as other tools discussed above. But still, it was a great feature.

I was never able to use it in a full project, as it didn't have security integration, so, I couldn't replace all the features I was having with the full-stack generators based on Flask-apispec. I had in my backlog of projects to create a pull request adding that functionality.

But then, the project's focus shifted.

 * - Document search with pagination and faceting
 * - Scroll search for large result sets
 * - Document retrieval by ID
 * - Bulk document updates
 * - Search parameter serialization/deserialization for cookies
 * - Integration with search engines and logging systems
 */
public class SearchHelper {

    // ===================================================================================

            // Then
            assertEquals(fileFsFullSizeInfo.getCapacity(), fileFsFullSizeInfo.getFree());
        }
    }

    @Nested
    @DisplayName("Integration Tests")
    class IntegrationTests {

        @Test
        @DisplayName("Should work as AllocInfo implementation")
        void shouldWorkAsAllocInfoImplementation() throws SMBProtocolDecodingException {