Nestes casos, pode fazer sentido armazenar as tags em um `Enum`.

**FastAPI** suporta isso da mesma maneira que com strings simples:

{* ../../docs_src/path_operation_configuration/tutorial002b_py39.py hl[1,8:10,13,18] *}

## Resumo e descrição { #summary-and-description }

Você pode adicionar um `summary` e uma `description`:

   * @return a hash code for the value
   */
  @InlineMe(replacement = "Integer.hashCode(value)")
  @InlineMeValidationDisabled(
      "The hash code of a int is the int itself, so it's simplest to return that.")
  public static int hashCode(int value) {
    return value;
  }

  /**
   * Returns the {@code int} value that is equal to {@code value}, if possible.
   *

     * multiModuleProjectDirectory in MavenExecutionRequest is not always the parent of the request pom.
     * We should always check whether the request pom project is collected.
     * The integration tests for MNG-6223 are examples for this scenario.
     *
     * @return true if the collected projects contain the requested project (for example with -f)
     */

import java.util.ArrayList;
import java.util.List;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;

/**
 * Tester for equals() and hashCode() methods of a class.
 *
 * <p>The simplest use case is:
 *
 * <pre>
 * new EqualsTester().addEqualityGroup(foo).testEquals();
 * </pre>
 *
 * <p>This tests {@code foo.equals(foo)}, {@code foo.equals(null)}, and a few other operations.
 *

/**
 * Benchmarks for various algorithms for computing the mean and/or variance.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
public class StatsBenchmark {

  enum MeanAlgorithm {
    SIMPLE {
      @Override
      double mean(double[] values) {
        double sum = 0.0;
        for (double value : values) {
          sum += value;
        }
        return sum / values.length;
      }
    },

     * initial thread's.
     */
    Set<Throwable> seenExceptionsLocal = seenExceptionsField;
    if (seenExceptionsLocal == null) {
      // TODO(cpovirk): Should we use a simpler (presumably cheaper) data structure?
      /*
       * Using weak references here could let us release exceptions earlier, but:
       *

*   [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
*   [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
*   [TensorFlow Examples](https://github.com/tensorflow/examples)
*   [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)
*   [TensorFlow Blog](https://blog.tensorflow.org)

fix. Even if you think it's relatively minor, it's helpful to know what people
are working on. And as mentioned above, API changes should be discussed
thoroughly before moving to code.

Some examples of types of pull requests that are immediately helpful:

  - Fixing a bug without changing a public API.
  - Fixing or improving documentation.
  - Improvements to Maven configuration.

        * `authorizationCode`
    * But there is one specific "flow" that can be perfectly used for handling authentication in the same application directly:
        * `password`: some next chapters will cover examples of this.
* `openIdConnect`: has a way to define how to discover OAuth2 authentication data automatically.
    * This automatic discovery is what is defined in the OpenID Connect specification.


/// tip

  }

  public void testCopyOf_concurrentlyMutating() {
    List<String> sample = Lists.newArrayList("a", "b", "c");
    for (int delta : new int[] {-1, 0, 1}) {
      for (int i = 0; i < sample.size(); i++) {
        Collection<String> misleading = misleadingSizeCollection(delta);
        List<String> expected = sample.subList(0, i);
        misleading.addAll(expected);