// or we can just check for the prefix and suffix.
    // For this test, I'll add a helper in the response class to get super.toString()
    // Or, more simply, check the format of the string.
    @Test
    void testToStringFormat() {
        String str = response.toString();
        assert (str.startsWith("TransTransactNamedPipeResponse["));
        assert (str.endsWith("]"));

<img src="/img/tutorial/separate-openapi-schemas/image02.png">
</div>

Isso significa que ele **sempre terá um valor**, só que às vezes o valor pode ser `None` (ou `null` em termos de JSON).

Isso quer dizer que, os clientes que usam sua API não precisam verificar se o valor existe ou não, eles podem **assumir que o campo sempre estará lá**, mas que em alguns casos terá o valor padrão de `None`.

		//
		// Spark based s3a committers are a  big enough use-case to have this optimization.
		//
		// A sample code to see the improvements is as follows, this sample code is
		// simply a read on JSON from MinIO and write it back as "parquet".
		//
		// import org.apache.spark.sql.SparkSession
		// import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}

 *
 * @since 4.0.0
 * @see org.apache.maven.api.services.DependencyResolver
 * @see DependencyScope
 */
@Experimental
@Immutable
public interface PathScope extends ExtensibleEnum {

    // TODO: what if I simply want all dependencies ?
    @Nonnull
    ProjectScope projectScope();

    @Nonnull
    Set<DependencyScope> dependencyScopes();

    PathScope MAIN_COMPILE = pathScope(
            "main-compile",

				return
			}
			di, err := disks[i].DiskInfo(context.Background(), DiskInfoOptions{})
			if err != nil || di.Healing {
				// - Do not consume disks which are not reachable
				//   unformatted or simply not accessible for some reason.
				//
				// - Do not consume disks which are being healed
				//
				// - Future: skip busy disks
				return
			}

			mu.Lock()
			newDisks = append(newDisks, disks[i])

  ZERO(0),
  /** Test a one-element collection. */
  ONE(1),
  /** Test a three-element collection. */
  SEVERAL(3),
  /*
   * TODO: add VERY_LARGE, noting that we currently assume that the fourth
   * sample element is not in any collection
   */

  ANY(ZERO, ONE, SEVERAL);

  private final Set<Feature<? super Collection>> implied;
  private final @Nullable Integer numElements;

  CollectionSize(int numElements) {

  ZERO(0),
  /** Test a one-element collection. */
  ONE(1),
  /** Test a three-element collection. */
  SEVERAL(3),
  /*
   * TODO: add VERY_LARGE, noting that we currently assume that the fourth
   * sample element is not in any collection
   */

  ANY(ZERO, ONE, SEVERAL);

  private final Set<Feature<? super Collection>> implied;
  private final @Nullable Integer numElements;

  CollectionSize(int numElements) {

   *
   * <ul>
   *   <li>The non-private constructor or non-private static factory method with the most parameters
   *       is used to construct the sample instances. In case of tie, the candidate constructors or
   *       factories are tried one after another until one can be used to construct sample
   *       instances.
   *   <li>For the constructor or static factory method used to construct instances, it's checked

{* ../../docs_src/dependencies/tutorial011_an_py39.py hl[22] *}

/// tip | Consejo

Todo esto podría parecer complicado. Y puede que no esté muy claro cómo es útil aún.

Estos ejemplos son intencionalmente simples, pero muestran cómo funciona todo.

En los capítulos sobre seguridad, hay funciones utilitarias que se implementan de esta misma manera.

Hiding the documentation just makes it more difficult to understand how to interact with your API, and could make it more difficult for you to debug it in production. It could be considered simply a form of <a href="https://en.wikipedia.org/wiki/Security_through_obscurity" class="external-link" target="_blank">Security through obscurity</a>.

If you want to secure your API, there are several better things you can do, for example: