} catch (ClassCastException e) {
      return false;
    }
  }

  @Override
  public boolean containsAll(Collection<?> targets) {
    // TODO(jlevy): For optimal performance, use a binary search when
    // targets.size() < size() / log(size())
    // TODO(kevinb): see if we can share code with OrderedIterator after it
    // graduates from labs.
    if (targets instanceof Multiset) {

                    "loc": ["body", "files"],
                    "msg": "Field required",
                    "input": None,
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "files"],
                    "msg": "field required",

  protected ForwardingQueue() {}

  @Override
  protected abstract Queue<E> delegate();

  @CanIgnoreReturnValue // TODO(cpovirk): Consider removing this?
  @Override
  public boolean offer(@ParametricNullness E o) {
    return delegate().offer(o);
  }

  @CanIgnoreReturnValue // TODO(cpovirk): Consider removing this?
  @Override
  @CheckForNull
  public E poll() {
    return delegate().poll();
  }

                        "input": {"numbers": [1, 2, 3]},
                    }
                ],
                "body": '{"numbers": [1, 2, 3]}',
            }
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": {
                "body": '{"numbers": [1, 2, 3]}',
                "errors": [
                    {
                        "loc": ["body"],

import junit.framework.TestCase;
import junit.framework.TestSuite;

/**
 * Run collection tests on wrappers from {@link Multimaps}.
 *
 * @author Jared Levy
 */
@GwtIncompatible // suite // TODO(cpovirk): set up collect/gwt/suites version
public class MultimapsCollectionTest extends TestCase {

  private static final Feature<?>[] FOR_MAP_FEATURES_ONE = {
    CollectionSize.ONE,
    ALLOWS_NULL_VALUES,

          BRANCH: ${{ ( github.event.workflow_run.head_repository.full_name == github.repository && github.event.workflow_run.head_branch == 'master' && 'main' ) || ( github.event.workflow_run.head_sha ) }}
        # TODO: Use v3 when it's fixed, probably in v3.11
        # https://github.com/cloudflare/wrangler-action/issues/307
        uses: cloudflare/wrangler-action@v3.11
        # uses: cloudflare/wrangler-action@v3
        with:

                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "six",
                },
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["query", "q", 0],
                    "msg": "value is not a valid integer",

	// Cannot happen because we only have slices of already-scanned text,
	// but be prepared.
	s.base = base
}

func (s *Slice) Line() int {
	return s.line
}

func (s *Slice) Col() int {
	// TODO: Col is only called when defining a macro and all it cares about is increasing
	// position to discover whether there is a blank before the parenthesis.
	// We only get here if defining a macro inside a macro.

### Corto

Tiene **configuraciones por defecto** razonables para todo, con configuraciones opcionales en todas partes. Todos los parámetros pueden ser ajustados para tus necesidades y las de tu API.

Pero, todo **simplemente funciona** por defecto.

### Validación

* Validación para la mayoría (¿o todos?) los **tipos de datos** de Python incluyendo:

implementation.  The HPACK test cases are in a separate git submodule, so to
initialize them, you must run:

    git submodule init
    git submodule update

TODO
----

 * Add maven goal to avoid manual call to git submodule init.
 * Make hpack-test-case update itself from git, and run new tests.
 * Add maven goal to generate stories and a pull request to hpack-test-case