assertTrue(exception instanceof Exception);
        assertTrue(exception instanceof Throwable);
    }

    public void test_serialization() {
        // Test that the exception has the correct serialVersionUID field
        ScriptEngineException exception = new ScriptEngineException("Serialization test");

        // Verify the exception can be created and basic properties work
        assertNotNull(exception);

    stream.defaultWriteObject();
    stream.writeObject(keyTypeOrObjectUnderJ2cl);
    Serialization.writeMap(this, stream);
  }

  @SuppressWarnings("unchecked") // reading field populated by writeObject
  @GwtIncompatible // java.io.ObjectInputStream
  private void readObject(ObjectInputStream stream) throws IOException, ClassNotFoundException {
    stream.defaultReadObject();

...sin agregar el parámetro requerido `needy`, verás un error como:

```JSON
{
  "detail": [
    {
      "type": "missing",
      "loc": [
        "query",
        "needy"
      ],
      "msg": "Field required",
      "input": null
    }
  ]
}
```

Como `needy` es un parámetro requerido, necesitarías establecerlo en la URL:

```
http://127.0.0.1:8000/items/foo-item?needy=sooooneedy
```

In this case, **FastAPI** will notice that there is more than one body parameter in the function (there are two parameters that are Pydantic models).

So, it will then use the parameter names as keys (field names) in the body, and expect a body like:

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    },
    "user": {

```JSON
{
    "detail": [
        {
            "loc": [
                "query",
                "needy"
            ],
            "msg": "field required",
            "type": "value_error.missing"
        }
    ]
}
```

Como `needy` é um parâmetro obrigatório, você precisaria defini-lo na URL:

```

in this list response. If the list request contained label or field selectors, then the number of remaining items is unknown and the field will be left unset and omitted during serialization. If the list is complete (either because it is not chunking or because this is the last chunk), then there are no more remaining items and this field will be left unset and omitted during serialization. Servers older than v1.15 do not set this field. The intended use of the remainingItemCount is *estimating* the...

You can achieve that using <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">Pydantic's `AfterValidator`</a> inside of `Annotated`.

/// tip

Pydantic also has <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> and others. 🤓

///

* `Field(primary_key=True)` informa ao SQLModel que o `id` é a **chave primária** no banco de dados SQL (você pode aprender mais sobre chaves primárias SQL na documentação do SQLModel).

    Ao ter o tipo como `int | None`, o SQLModel saberá que essa coluna deve ser um `INTEGER` no banco de dados SQL e que ela deve ser `NULLABLE`.

				if !rl.Expiration.IsNull() || !rl.NoncurrentVersionExpiration.IsNull() {
					expiryRuleRemoved = true
					break
				}
			}
		}

		// Form empty ILM details with `ExpiryUpdatedAt` field and save
		var cfgData []byte
		if expiryRuleRemoved {
			var lcCfg lifecycle.Lifecycle
			currtime := time.Now()
			lcCfg.ExpiryUpdatedAt = &currtime
			cfgData, err = xml.Marshal(lcCfg)
			if err != nil {

    extends AggregateFutureState<OutputT> {
  private static final LazyLogger logger = new LazyLogger(AggregateFuture.class);

  /**
   * The input futures. After {@link #init}, this field is read only by {@link #afterDone()} (to
   * propagate cancellation) and {@link #toString()}. To access the futures' <i>values</i>, {@code