"normalization-java",
          "problems-rendering"
        ],
        "parallelizationMethod": {
          "numberOfBatches": 1,
          "name": "TeamCityParallelTests"
        }
      },
      {
        "subprojects": [
          "build-configuration",
          "build-init-specs",
          "build-process-services",
          "configuration-problems-base",
          "declarative-dsl-internal-utils",

                if (!modelResult.getProblems().isEmpty()) {
                    List<ModelProblem> problems = modelResult.getProblems();
                    if (logger.isDebugEnabled()) {
                        String problem = (problems.size() == 1) ? "problem" : "problems";
                        String problemPredicate = problem + ((problems.size() == 1) ? " was" : " were");

name: Regression
description: Report a problem about something that used to work
labels: [ "a:regression", "to-triage" ]
assignees: [ ]
body:
  - type: markdown
    attributes:
      value: |
        Please use our bug report template to report problems with something that has never worked.
        Regressions reports are greatly appreciated during our RC phase and before a final release.
  - type: textarea
    id: current-behavior
    attributes:

        return null;
    }

    static String toMessage(String modelId, List<ModelProblem> problems) {
        StringWriter buffer = new StringWriter(1024);

        PrintWriter writer = new PrintWriter(buffer);

        writer.print(problems.size());
        writer.print((problems.size() == 1) ? " problem was " : " problems were ");
        writer.print("encountered while building the effective model");

        Provide a [minimal, self-contained example](https://en.wikipedia.org/wiki/Minimal_reproducible_example) project demonstrating the problem as a GitHub repository or an attached archive.
        You can use [the template](https://github.com/gradle/gradle-issue-reproducer) with a Gradle GitHub action set up to showcase your problem.
        In the rare cases where this is infeasible, we will also accept a detailed set of instructions.

     */
    public static <T> Result<T> newResult(T model, Iterable<? extends ModelProblem> problems) {
        return new Result<>(hasErrors(problems), model, problems);
    }

    /**
     * New result consisting of given result and new problem. Convenience for newResult(result.get(),
     * concat(result.getProblems(),problems)).
     *
     * @param result
     * @param problem
     */

        assertEquals(2, collector.getProblems().size());

        Problem p1 = collector.getProblems().get(0);
        assertEquals(Severity.ERROR, p1.getSeverity());
        assertEquals("MESSAGE1", p1.getMessage());
        assertEquals(-1, p1.getLineNumber());
        assertEquals(-1, p1.getColumnNumber());
        assertNull(p1.getException());

        Problem p2 = collector.getProblems().get(1);

     * @param request The model building request that holds further settings, must not be {@code null}.
     * @param problems The container used to collect problems that were encountered, must not be {@code null}.
     */
    void expandPluginConfiguration(Model model, ModelBuildingRequest request, ModelProblemCollector problems);

        - Deprecation
        - Refactoring
        - Other
    validations:
      required: true
  - type: textarea
    id: description
    attributes:
      label: Problem description
      description: |
        Please describe the problem as concisely as possible.
    validations:
      required: true
  - type: textarea
    id: context
    attributes:
      label: Context (optional)
      description: |

Puedes usar la configuración del modelo de Pydantic para `prohibir` cualquier campo `extra`:

{* ../../docs_src/cookie_param_models/tutorial002_an_py310.py hl[10] *}

Si un cliente intenta enviar algunas **cookies extra**, recibirán un response de **error**.