assertTrue(result.success(), "Orchestrator should succeed");
            assertEquals(2, result.processedPoms().size(), "Should aggregate processed POMs");
            assertEquals(2, result.modifiedPoms().size(), "Should aggregate modified POMs");
            assertEquals(0, result.errorPoms().size(), "Should have no errors");
        }

        @Test

     * @return set of projects that have yet to be processed successfully by the build.
     */
    public Set<MavenProject> getUnfinishedProjects() {
        Set<MavenProject> unfinished = new HashSet<>(projectBuilds.getProjects());
        unfinished.removeAll(finishedProjects);
        return unfinished;
    }

    /**
     * @return set of projects that have been successfully processed by the build.
     */

     *
     * @return The model being built, never {@code null}.
     */
    Model getModel();

    /**
     * Gets the model building request being processed.
     *
     * @return The model building request being processed, never {@code null}.
     */
    ModelBuildingRequest getRequest();

    /**
     * Gets the container used to collect problems that were encountered while processing the event.

    boolean isResolveDependencies();

    /**
     * Controls the level of validation to perform on processed models. By default, models are validated in strict mode.
     *
     * @param validationLevel The level of validation to perform on processed models, e.g.
     *            {@link org.apache.maven.model.building.ModelBuildingRequest#VALIDATION_LEVEL_STRICT}.

import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**

        output=MessageOutput(body=f"Processed: {input_message}"),
    )


client = TestClient(app)


def test_create_message():
    response = client.post("/messages", params={"input_message": "Hello"})
    assert response.status_code == 200, response.text
    assert response.json() == {
        "input": "Hello",
        "output": {"body": "Processed: Hello", "events": []},
    }

Esto sigue siendo cierto.

Así que, para poder tener **múltiples procesos** al mismo tiempo, tiene que haber un **solo proceso escuchando en un puerto** que luego transmita la comunicación a cada worker process de alguna forma.

### Memoria por Proceso { #memory-per-process }

}

interface ModuleTargetRuntimes {

    /**
     * Declare that this Gradle module runs as part of worker process.
     */
    val usedInWorkers: Property<Boolean>

    /**
     * Declare that this Gradle module runs as part of the wrapper or as part of a client process.
     * Client processes include the Tooling API client or the CLI client.
     */
    val usedInClient: Property<Boolean>

    /**

        return url;
    }

    /**
     * Extracts and processes the site path from a URL with proper encoding handling.
     * Removes protocol, query parameters, and applies URL decoding based on encoding settings.
     *
     * @param u the URL string to process
     * @param encoding the character encoding to use for URL decoding
     * @return the processed site path, abbreviated if necessary
     */

* a função da tarefa

* o template
* o mecanismo de template

* a anotação de tipo
* a anotação de tipo

* o worker de servidor
* o worker do Uvicorn
* o Worker do Gunicorn
* o processo worker
* a classe de worker
* a carga de trabalho

* a implantação
* implantar

* o SDK
* o kit de desenvolvimento de software

* o `APIRouter`
* o `requirements.txt`
* o Bearer Token