return &ErrDuplicateEventName{eventName}
		}

		eventStringSet.Add(eventName.String())
	}

	*q = Queue(parsedQueue)

	return nil
}

// Validate - checks whether queue has valid values or not.
func (q Queue) Validate(region string, targetList *TargetList) error {
	if q.ARN.region == "" {
		if !targetList.Exists(q.ARN.TargetID) {
			return &ErrARNNotFound{q.ARN}
		}
		return nil
	}

/** Unit tests for {@link Service} */
public class ServiceTest extends TestCase {

  /** Assert on the comparison ordering of the State enum since we guarantee it. */
  public void testStateOrdering() {
    // List every valid (direct) state transition.
    assertLessThan(NEW, STARTING);
    assertLessThan(NEW, TERMINATED);

    assertLessThan(STARTING, RUNNING);
    assertLessThan(STARTING, STOPPING);
    assertLessThan(STARTING, FAILED);

		return fmt.Errorf("config writer has not been primed")
	}
	secretDump := c.ztunnelDump.Certificates
	w := new(tabwriter.Writer).Init(c.Stdout, 0, 8, 5, ' ', 0)
	fmt.Fprintln(w, "CERTIFICATE NAME\tTYPE\tSTATUS\tVALID CERT\tSERIAL NUMBER\tNOT AFTER\tNOT BEFORE")

	for _, secret := range secretDump {
		if strings.Contains(secret.State, "Unavailable") {
			secret.State = "Unavailable"
		}
		if len(secret.CertChain) == 0 {

```Python
some_variable: PlaneItem | CarItem
```

Mas se colocarmos isso em `response_model=PlaneItem | CarItem` teríamos um erro, pois o Python tentaria executar uma **operação inválida** entre `PlaneItem` e `CarItem` em vez de interpretar isso como uma anotação de tipo.

## Lista de modelos

Da mesma forma, você pode declarar respostas de listas de objetos.

* **Converter dados**: da solicitação para o tipo necessário.
* **Validar dados**: provenientes de cada solicitação:
    * Gerando **erros automáticos** retornados ao cliente quando os dados são inválidos.
* **Documentar** a API usando OpenAPI:
    * que é usado pelas interfaces de usuário da documentação interativa automática.

import static org.junit.jupiter.api.Assertions.assertNotNull;
import static org.junit.jupiter.api.Assertions.assertTrue;

/**
 * Verifies exclusions listed in dependencyManagement are valid for
 * transitive dependencies.
 *
 */
@Deprecated
class ProjectInheritanceTest extends AbstractProjectInheritanceTestCase {
    // ----------------------------------------------------------------------
    //

			return fmt.Errorf("target %v already exists", target.ID())
		}
		list.targets[target.ID()] = target
	}

	return nil
}

// Lookup - checks whether target by target ID exists is valid or not.
func (list *TargetList) Lookup(arnStr string) (Target, error) {
	list.RLock()
	defer list.RUnlock()

	arn, err := ParseARN(arnStr)
	if err != nil {
		return nil, err
	}

# Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is
# relevant. All of the GPU test machines have CUDA installed via other means,
# so I am not sure how to verify that the dependencies themselves are valid for
# the moment.
if [[ "$TFCI_BAZEL_COMMON_ARGS" =~ gpu|cuda ]]; then
  echo "Checking to make sure tensorflow[and-cuda] is installable..."
  "$python" -m pip install "$(echo *.whl)[and-cuda]" $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS

	} else if err := os.Remove(resultFile); err != nil {
		t.Fatalf("error removing CNI config file: %s", resultFile)
	}
	// Verify configuration is still valid after removal
	compareConfResult(resultFile, expectedOutputFile, t)
	t.Log("PASS: Istio CNI configuration still valid after removal")

	// Shutdown the install-cni
	cancel()
	wg.Wait()

	t.Logf("Check the cleanup worked")
	if chainedCNIPlugin {

// otherwise returns false.
func (config *TierConfigMgr) IsTierValid(tierName string) bool {
	config.RLock()
	defer config.RUnlock()
	_, valid := config.isTierNameInUse(tierName)
	return valid
}

// isTierNameInUse returns tier type and true if there exists a remote tier by
// name tierName, otherwise returns madmin.Unsupported and false. N B this