@Test
        @DisplayName("Named pipe request uses fixed 1024 hints")
        void namedPipeRequestHints() throws Exception {
            when(mockTree.isSMB2()).thenReturn(false);
            when(mockFile.getType()).thenReturn(SmbConstants.TYPE_NAMED_PIPE);

            // Cause send to throw to stop execution so we can verify arguments
            doAnswer(inv -> {
                throw new SmbException("stop");

import java.io.IOException;
import java.io.ObjectInputFilter;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.util.Set;

import org.codelibs.core.exception.ClassNotFoundRuntimeException;
import org.codelibs.core.exception.IORuntimeException;

/**
 * Utility for serializing objects with security protections.
 * <p>
 * This utility provides object serialization and deserialization with built-in

void TF_SetTracingImplementation(const char* name, TF_Status* s) {
  tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name));
}

// Creates a new TensorFlow function, it is an execution context attached to a
// given tracing context.
TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) {
  return wrap(CreateTracingExecutionContext(fn_name, s));
}

  TFE_DeleteTensorHandle(h0);
  TFE_DeleteTensorHandle(h1);
  TFE_DeleteTensorHandle(h2);

  TFE_Executor* executor = TFE_ContextGetExecutorForThread(ctx);
  TFE_ExecutorWaitForAllPendingNodes(executor, status);
  ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
  TFE_DeleteExecutor(executor);
  TFE_ContextRemoveFunction(ctx, "AddVariablesFunction", status);
  TFE_DeleteContext(ctx);

  TF_DeleteStatus(status);

        testData.clear();
        testData.add(createRelatedContent("test", "Updated Content", ""));
        mockBhv.setTestData(testData);

        relatedContentHelper.update();
        // Give a moment for async execution
        try {
            Thread.sleep(100);
        } catch (InterruptedException e) {
            // ignore
        }

        results = relatedContentHelper.getRelatedContents("test");

## Deployment Concepts { #deployment-concepts }

Here you saw how to use multiple **workers** to **parallelize** the execution of the application, take advantage of **multiple cores** in the CPU, and be able to serve **more requests**.

      final Executor executor;

      RunnableExecutorPair(Runnable runnable, Executor executor) {
        this.runnable = runnable;
        this.executor = executor;
      }

      void execute() {
        try {
          executor.execute(runnable);
        } catch (RuntimeException e) {
          log.log(
              Level.SEVERE,
              "RuntimeException while executing runnable "

     * This method registers only the classes that are needed by the crawler data serialization.
     * By explicitly registering classes, we prevent deserialization of arbitrary classes
     * which could lead to remote code execution vulnerabilities through gadget chains.
     * </p>
     *
     * @param kryo the Kryo instance to register classes with
     */
    protected void registerClasses(final Kryo kryo) {

import java.util.stream.Stream;

import org.apache.maven.api.model.Model;
import org.apache.maven.api.services.Lookup;
import org.apache.maven.eventspy.EventSpy;
import org.apache.maven.execution.ExecutionEvent;
import org.apache.maven.execution.MavenSession;
import org.apache.maven.impl.resolver.MavenWorkspaceReader;
import org.apache.maven.project.MavenProject;
import org.apache.maven.project.artifact.ProjectArtifact;

import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.sort.SortOrder;

/**
 * Command class for handling term query execution and conversion.
 * This class processes Lucene TermQuery objects and converts them to OpenSearch QueryBuilder instances.
 */
public class TermQueryCommand extends QueryCommand {
    private static final Logger logger = LogManager.getLogger(TermQueryCommand.class);