assertEquals(messageCode, exception.getMessageCode());
    }

    public void test_verifySerialVersionUID() {
        // Setup
        final String message = "Test serialization capability";
        final VaMessenger<FessMessages> messageCode = messages -> messages.addErrorsInvalidQueryUnknown(UserMessages.GLOBAL_PROPERTY_KEY);

        // Execute

        assertEquals("[Test]", defaultMap.get(FessEnv.MAIL_SUBJECT_TEST_PREFIX));
        assertEquals("root@localhost", defaultMap.get(FessEnv.MAIL_RETURN_PATH));
    }

    // Test serialization
    public void xtest_serialization() {
        // Verify that serialVersionUID is defined
        assertTrue(fessEnv instanceof java.io.Serializable);

        // Test that the SimpleImpl class can be instantiated

        assertEquals(rootCause, exception.getCause().getCause());
    }

    public void test_exceptionSerialization() {
        // Test that the exception is serializable
        String message = "Serialization test";
        Exception cause = new Exception("Test cause");

        SearchQueryException exception = new SearchQueryException(message, cause);

        // Verify serialVersionUID is properly set

 *
 * @since 2.0
 */
@DoNotMock("Use ImmutableList.of or another implementation")
@GwtCompatible
@SuppressWarnings("serial") // we're overriding default serialization
// TODO(kevinb): I think we should push everything down to "BaseImmutableCollection" or something,
// just to do everything we can to emphasize the "practically an interface" nature of this class.

    }

    public void test_serialization() {
        // Test that serialVersionUID is properly defined
        final JobProcessingException exception = new JobProcessingException("Serialization test");

        // The exception should be serializable since it extends RuntimeException
        assertTrue(exception instanceof java.io.Serializable);
    }

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

{* ../../docs_src/path_params/tutorial002.py hl[7] *}

👉 💼, `item_id` 📣 `int`.

/// check

👉 🔜 🤝 👆 👨‍🎨 🐕‍🦺 🔘 👆 🔢, ⏮️ ❌ ✅, 🛠️, ♒️.

///

## 💽 <abbr title="also known as: serialization, parsing, marshalling">🛠️</abbr>

🚥 👆 🏃 👉 🖼 &amp; 📂 👆 🖥 <a href="http://127.0.0.1:8000/items/3" class="external-link" target="_blank">http://127.0.0.1:8000/items/3</a>, 👆 🔜 👀 📨:

```JSON
{"item_id":3}
```

/// check | Periksa

Penyunting kode anda bisa membantu periksa di dalam fungsi seperti pemeriksaan kesalahan, kelengkapan kode, dll.

///

## <abbr title="juga disebut: serialization, parsing, marshalling">Konversi</abbr> data

    * une validation même pour les objets <abbr title="JavaScript Object Notation">JSON</abbr> profondément imbriqués.
* <abbr title="aussi connu sous le nom de : serialization, parsing, marshalling">Une conversion</abbr> des données d'entrée : venant du réseau et allant vers les données et types de Python, permettant de lire :
    * le <abbr title="JavaScript Object Notation">JSON</abbr>.

///

/// info | 情報

以下も使用することができます:

* `response_model_exclude_defaults=True`
* `response_model_exclude_none=True`