## Caso de Uso

Empecemos con un ejemplo de **caso de uso** y luego veamos cómo resolverlo con esto.

Imaginemos que tienes algunos **modelos de machine learning** que quieres usar para manejar requests. 🤖

		}
	}

	return host, port, nil
}

// isLocalHost - checks if the given parameter
// correspond to one of the local IP of the
// current machine
func isLocalHost(host string, port string, localPort string) (bool, error) {
	hostIPs, err := getHostIP(host)
	if err != nil {
		return false, err
	}

	nonInterIPV4s := mustGetLocalIP4().Intersection(hostIPs)

        // Utility class - prevent instantiation
    }

    /**
     * Directory Read and Handle caching (RH) - recommended for directory operations
     */
    public static final int DIRECTORY_READ_HANDLE = Smb2LeaseState.SMB2_LEASE_READ_CACHING | Smb2LeaseState.SMB2_LEASE_HANDLE_CACHING;

    /**
     * Directory Full caching (RWH) - all three lease types
     */
    public static final int DIRECTORY_FULL = Smb2LeaseState.SMB2_LEASE_FULL;

        UserRoleLoginException exception = new UserRoleLoginException(RootAction.class);
        assertNull(exception.getCause());
    }

    public void test_throwAndCatch() {
        // Test throwing and catching the exception
        try {
            throw new UserRoleLoginException(RootAction.class);
        } catch (UserRoleLoginException e) {
            assertEquals(RootAction.class, e.getActionClass());

 * Extension methods for SmbFile to support directory leasing functionality.
 *
 * This utility class provides static methods that enhance SmbFile operations with
 * directory leasing capabilities for improved performance through caching when
 * SMB3 directory leasing is available and enabled.
 */
public class SmbFileDirectoryLeasingExtension {

    /**
     * Private constructor to prevent instantiation of this utility class
     */

                    "Should handle manual caching flag");

            // Test auto caching
            setPrivateField(response, "shareFlags", Smb2TreeConnectResponse.SMB2_SHAREFLAG_AUTO_CACHING);
            assertEquals(Smb2TreeConnectResponse.SMB2_SHAREFLAG_AUTO_CACHING, response.getShareFlags(), "Should handle auto caching flag");

            // Test VDO caching

        id: avd-cache
        with:
          path: |
            ~/.android/avd/*
            ~/.android/adb*
          key: avd-${{ matrix.api-level }}

      - name: Create AVD and generate snapshot for caching
        if: steps.avd-cache.outputs.cache-hit != 'true'
        uses: reactivecircus/android-emulator-runner@v2
        with:
          api-level: ${{ matrix.api-level }}

        assertNull(ex.getCause(), "Default constructor should have null cause");
        assertTrue(ex instanceof CIFSException, "Should be a CIFSException subtype");

        // Assert throwing/catching behavior with assertThrows
        SMBProtocolDecodingException thrown = assertThrows(SMBProtocolDecodingException.class, () -> {
            throw new SMBProtocolDecodingException();

### Concurrency + Parallelism: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

  public void testCatching() throws Exception {
    FluentFuture<?> f =
        FluentFuture.from(immediateFailedFuture(new CustomRuntimeException()))
            .catching(
                Throwable.class,
                new Function<Throwable, Class<?>>() {
                  @Override
                  public Class<?> apply(Throwable input) {
                    return input.getClass();