) {
    if (sslSocket is org.openjsse.javax.net.ssl.SSLSocket) {
      val sslParameters = sslSocket.sslParameters

      if (sslParameters is org.openjsse.javax.net.ssl.SSLParameters) {
        // Enable ALPN.
        val names = alpnProtocolNames(protocols)
        sslParameters.applicationProtocols = names.toTypedArray()

        sslSocket.sslParameters = sslParameters
      }
    } else {

	xh, err := xnet.ParseHost(hostPort)
	if err != nil {
		logger.FatalIf(err, "Unable to split host port %s", hostPort)
	}
	return xh.Name, xh.Port.String()
}

// mustGetLocalIPs returns IPs of local interface
func mustGetLocalIPs() (ipList []net.IP) {
	ifs, err := net.Interfaces()
	logger.FatalIf(err, "Unable to get IP addresses of this host")

	for _, interf := range ifs {
		addrs, err := interf.Addrs()

    text(
        "profiler",
        defaultProfiler,
        display = ParameterDisplay.PROMPT,
        allowEmpty = false,
        description =
            "Command line option for the performance test task to enable profiling. " +
                "For example `async-profiler`, `async-profiler-heap`, `async-profiler-all` or `jfr`. Use `none` for benchmarking only.",
    )
}

   *
   * @param key the non-null key whose value should be loaded
   * @return the value associated with {@code key}; <b>must not be null</b>
   * @throws Exception if unable to load the result
   * @throws InterruptedException if this method is interrupted. {@code InterruptedException} is
   *     treated like any other {@code Exception} in all respects except that, when it is caught,

and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have...

/**
 * Unit tests for {@link Callables}.
 *
 * @author Isaac Shum
 */
@GwtCompatible
@NullUnmarked
public class CallablesTest extends TestCase {

  @J2ktIncompatible // TODO(b/324550390): Enable
  public void testReturning() throws Exception {
    assertNull(Callables.returning(null).call());

    Object value = new Object();
    Callable<Object> callable = Callables.returning(value);

  private static final class FailedService extends Throwable {
    FailedService(Service service) {
      super(
          service.toString(),
          service.failureCause(),
          false /* don't enable suppression */,
          false /* don't calculate a stack trace. */);
    }
  }

    public boolean isLoggingEnabled() {
        return Constants.T.equals(getJobLogging());
    }

    public boolean isCrawlerJob() {
        return Constants.T.equals(getCrawler());
    }

    public boolean isEnabled() {
        return Constants.T.equals(getAvailable());
    }

    public boolean isRunning() {

  cancel-in-progress: false

env:
  # Set the DEVELOCITY_ACCESS_KEY so that a Build Scan is generated
  DEVELOCITY_ACCESS_KEY: ${{ secrets.DEVELOCITY_ACCESS_KEY }}
  # Enable debug for the `gradle-build-action` cache operations
  GRADLE_BUILD_ACTION_CACHE_DEBUG_ENABLED: true

permissions: {}

jobs:
  build:
    name: "Compile All"
    permissions:
      contents: read

s","value":"off"},{"key":"hsts_preload","value":"off"},{"key":"referrer_policy","value":"strict-origin-when-cross-origin"}]},"cache":{"_":[{"key":"enable","value":"off"},{"key":"endpoint","value":""},{"key":"block_size","value":""}]},"callhome":{"_":[{"key":"enable","value":"off"},{"key":"frequency","value":"24h"}]},"compression":{"_":[{"key":"enable","value":"off"},{"key":"allow_encryption","value":"off"},{"key":"extensions","value":".txt,.log,.csv,.json,.tar,.xml,.bin"},{"key":"mime_types","va...