protected HashCode makeHash() {
      // End with a byte encoding the positive integer b mod 256.
      finalM ^= b << 56;
      processM(finalM);

      // Finalization
      v2 ^= 0xFFL;
      sipRound(d);
      return HashCode.fromLong(v0 ^ v1 ^ v2 ^ v3);
    }

    private void processM(long m) {
      v3 ^= m;
      sipRound(c);
      v0 ^= m;
    }

    private void sipRound(int iterations) {

```

</div>

////

La única opción nueva aquí es `--workers` indicando a Uvicorn que inicie 4 worker processes.

También puedes ver que muestra el **PID** de cada proceso, `27365` para el proceso padre (este es el **gestor de procesos**) y uno para cada worker process: `27368`, `27369`, `27370`, y `27367`.

## Conceptos de Despliegue

import jakarta.annotation.PostConstruct;

/**
 * Response processor implementation for the Fess search engine.
 * This processor extends DefaultResponseProcessor to provide additional
 * processing capabilities through the ingest framework, allowing for
 * custom data transformation and enrichment during the crawling process.
 *
 * <p>It supports pluggable ingesters that can modify the result data

    }

    /**
     * Processes a document map for datastore operations.
     * Default implementation delegates to the basic process method.
     *
     * @param target the document data to process
     * @param params the data store parameters
     * @return the processed document data
     */
    public Map<String, Object> process(final Map<String, Object> target, final DataStoreParams params) {

     * @param query the Lucene query to be processed
     * @param boost the boost factor to apply to the query
     * @return the processed OpenSearch QueryBuilder
     */
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        return filterChain.execute(context, query, boost);
    }

    /**
     * Adds a query command to the processor.
     *

    /**
     * Set of fully qualified class names that have been processed and contain the {@link Named} annotation.
     */
    private final Set<String> processedClasses = new HashSet<>();

    /**
     * Processes classes with the {@link Named} annotation and generates an index file.
     *
     * @param annotations the annotation types requested to be processed

  /** Number of bytes to be filled before process() invocation(s). */
  private final int bufferSize;

  /** Number of bytes processed per process() invocation. */
  private final int chunkSize;

  /**
   * Constructor for use by subclasses. This hasher instance will process chunks of the specified
   * size.
   *
   * @param chunkSize the number of bytes available per {@link #process(ByteBuffer)} invocation;
   *     must be at least 4

        Process mockProcess = createMockProcess("test");
        JobProcess jobProcess = new JobProcess(mockProcess);

        assertNotNull(jobProcess.getInputStreamThread());
    }

    public void test_multipleJobProcesses() throws IOException {
        Process mockProcess1 = createMockProcess("process1 output");
        Process mockProcess2 = createMockProcess("process2 output");

* mount (verb): montar
* statement (as in code statement): statement (do not translate to "declaración" or "sentencia")
* worker process: worker process (do not translate to "proceso trabajador" or "proceso de trabajo")
* worker processes: worker processes (do not translate to "procesos trabajadores" or "procesos de trabajo")
* worker: worker (do not translate to "trabajador")
* load balancer: load balancer (do not translate to "balanceador de carga")

/**
 * Job class for updating label information in the search index.
 * This job processes documents and updates their label fields based on URL pattern matching.
 */
public class UpdateLabelJob {

    private static final Logger logger = LogManager.getLogger(UpdateLabelJob.class);

    /**
     * Query builder for filtering documents to be processed.
     */
    protected QueryBuilder queryBuilder = null;

    /**