],
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {
                                    "title": "X-Token",
                                    "type": "array",

                                    ],
                                    "title": "Q",
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {
                                    "title": "Q",
                                    "type": "array",

 *
 * <p>For details about this hack, see {@code GwtSerializationDependencies}, which takes the same
 * approach but with a subclass rather than a superclass.
 *
 * <p>TODO(cpovirk): Consider applying this subclass approach to our other types.
 */
@GwtCompatible(emulated = true)
abstract class LinkedHashMultimapGwtSerializationDependencies<K, V>
    extends AbstractSetMultimap<K, V> {

 *
 * <p>For details about this hack, see {@code GwtSerializationDependencies}, which takes the same
 * approach but with a subclass rather than a superclass.
 *
 * <p>TODO(cpovirk): Consider applying this subclass approach to our other types.
 */
@SuppressWarnings("rawtypes") // https://github.com/google/guava/issues/989
@GwtCompatible(emulated = true)

    for (int j = 0; j < input_shape.num_dims; ++j) {
      dims.push_back(c.MakeDim(input_shape.dims[j]));
    }
    c.SetInput(i, c.MakeShape(dims));
  }

  // TODO(bgogul): Handle input_tensors_as_shapes.
  // TODO(bgogul): Handle input_resource_shapes_and_types.

  status->status = c.construction_status();
  if (!status->status.ok()) return;

  if (op_reg_data->shape_inference_fn == nullptr) {

                                    "title": "Ads Id",
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {"title": "Ads Id", "type": "string"}
                            ),
                            "name": "ads_id",
                            "in": "cookie",

                                    "title": "Strange Header",
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {"title": "Strange Header", "type": "string"}
                            ),
                            "name": "strange_header",

                      device_name, "\")");
}

absl::Status ImmediateExecutionTensorHandle::SummarizeValue(
    std::string& summary) const {
  absl::Status status;
  AbstractTensorPtr resolved(
      // TODO(allenl): Resolve should be const, and the caches that get updated
      // marked mutable.
      const_cast<ImmediateExecutionTensorHandle*>(this)->Resolve(&status));
  if (!status.ok()) {
    return status;
  }

# Dependências avançadas

## Dependências parametrizadas

Todas as dependências que vimos até agora são funções ou classes fixas.

Mas podem ocorrer casos onde você deseja ser capaz de definir parâmetros na dependência, sem ter a necessidade de declarar diversas funções ou classes.

Vamos imaginar que queremos ter uma dependência que verifica se o parâmetro de consulta `q` possui um valor fixo.

Porém nós queremos poder parametrizar o conteúdo fixo.

@GwtCompatible
@Ignore // Affects only Android test runner, which respects JUnit 4 annotations on JUnit 3 tests.
@SuppressWarnings("JUnit4ClassUsedInJUnit3")
public class CollectionEqualsTester<E> extends AbstractCollectionTester<E> {

  // TODO(cpovirk): Consider using EqualsTester from Guava.
  @SuppressWarnings("SelfEquals")
  public void testEquals_self() {
    assertTrue("An Object should be equal to itself.", collection.equals(collection));
  }