// Execute
        final InvalidQueryException exception = new InvalidQueryException(messageCode, longMessage);

        // Verify long message is handled correctly
        assertNotNull(exception);
        assertEquals(longMessage, exception.getMessage());
        assertEquals(messageCode, exception.getMessageCode());
    }

    * In requests and responses will be treated as `str`.
    * The generated schema will specify that it's a `str` with `binary` "format".
* `Decimal`:
    * Standard Python `Decimal`.
    * In requests and responses, handled the same as a `float`.
* You can check all the valid Pydantic data types here: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Example { #example }

        assertTrue(rateLimiter.checkAttempt("user7", ip), "Should be allowed after manual unblock");
    }

    @Test
    public void testNullUsername() throws Exception {
        // Null username should be handled gracefully
        assertTrue(rateLimiter.checkAttempt(null, "192.168.1.8"), "Null username should be allowed");

        // Should not affect IP limiting
        rateLimiter.recordFailure(null, "192.168.1.8");

        bufferIndex += 12; // 10 reserved

        return bufferIndex - start;
    }

    @Override
    protected int readBytesWireFormat(final byte[] buffer, final int bufferIndex) {
        // handled special in SmbTransport.doRecv()
        return 0;
    }

    @Override
    public String toString() {

                request.addArtifact(pomArtifact);
            } else if (metadata instanceof SnapshotArtifactRepositoryMetadata
                    || metadata instanceof ArtifactRepositoryMetadata) {
                // eaten, handled by repo system
            } else {
                request.addMetadata(new MetadataBridge(metadata));
            }
        }

        try {
            repoSystem.install(session, request);

            return null;
        }).when(mockDcerpcHandle).sendrecv(any(MsrpcLsarOpenPolicy2.class));

        // Act
        LsaPolicyHandle handle = new LsaPolicyHandle(mockDcerpcHandle, server, access);

        // Assert
        assertNotNull(handle);
        verify(mockDcerpcHandle, times(1)).sendrecv(any(MsrpcLsarOpenPolicy2.class));
    }

    @Test

                }
            }
        };

        FwAssistantDirector assistantDirector = createMockAssistantDirector();
        customHook.hook(assistantDirector);

        // Verify that exception was handled
        assertTrue(exceptionHandled.get());
    }

    // Test with a custom ClassLoader to simulate class availability
    public void test_hook_withCustomClassLoader() throws Exception {

                request.addArtifact(pomArtifact);
            } else if (metadata instanceof SnapshotArtifactRepositoryMetadata
                    || metadata instanceof ArtifactRepositoryMetadata) {
                // eaten, handled by repo system
            } else {
                request.addMetadata(new MetadataBridge(metadata));
            }
        }

        RemoteRepository remoteRepo = RepositoryUtils.toRepo(deploymentRepository);

            // With size = 6 * 2 = 12, should produce "000F107F80FF"
            assertTrue(result.contains("000F107F80FF"));
        }

        @Test
        @DisplayName("Large challenge array is handled correctly")
        void testLargeChallengeArray() {
            byte[] challenge = new byte[16];
            for (int i = 0; i < 16; i++) {
                challenge[i] = (byte) i;
            }

    * Numbers (`int`, `float`) with min and max values, etc.

* Validation for more exotic types, like:
    * URL.
    * Email.
    * UUID.
    * ...and others.

All the validation is handled by the well-established and robust **Pydantic**.

### Security and authentication { #security-and-authentication }

Security and authentication integrated. Without any compromise with databases or data models.