Beginnen wir mit einem Beispiel und sehen es uns dann im Detail an.

Wir erstellen eine asynchrone Funktion `lifespan()` mit `yield` wie folgt:

{* ../../docs_src/events/tutorial003.py hl[16,19] *}

     */
    enum RepositoryMerging {

        /**
         * The repositories declared in the POM have precedence over the repositories specified in the request.
         */
        POM_DOMINANT,

        /**
         * The repositories specified in the request have precedence over the repositories declared in the POM.
         */
        REQUEST_DOMINANT,
    }

    @Nonnull
    ModelSource getSource();

              logger.severe("InterruptenatorTask did not exit; future tests may be affected");
              /*
               * This won't do any good under JUnit 3, but I'll leave it around in
               * case we ever switch to JUnit 4:
               */
              fail();
            }
          }
        });
  }

  // TODO(cpovirk): promote to Uninterruptibles, and add untimed version

This will be especially useful when you use it in a **large code base** where you use **the same dependencies** over and over again in **many *path operations***.

## To `async` or not to `async` { #to-async-or-not-to-async }

              logger.severe("InterruptenatorTask did not exit; future tests may be affected");
              /*
               * This won't do any good under JUnit 3, but I'll leave it around in
               * case we ever switch to JUnit 4:
               */
              fail();
            }
          }
        });
  }

  // TODO(cpovirk): promote to Uninterruptibles, and add untimed version

 * for building a project in a specific environment.</p>
 *
 * <p>Toolchains are defined in the Maven toolchains.xml file and can be
 * referenced in the project's POM file. This allows for greater flexibility
 * and control over the build environment, enabling developers to specify
 * the exact versions of tools they wish to use.</p>
 *
 * <p>
 * Toolchains can be obtained through the {@link org.apache.maven.api.services.ToolchainManager ToolchainManager}

Ele também foi construído para servir como uma referência futura, então você pode voltar e ver exatamente o que você precisa.

## Rode o código

Todos os blocos de código podem ser copiados e utilizados diretamente (eles são, na verdade, arquivos Python testados).

 *     ...
 * }
 * </pre>
 *
 * @author shot
 * @param <T> the type of array elements
 */
public class ArrayIterator<T> implements Iterator<T> {

    /** The array of elements to iterate over */
    protected final T[] items;

    /** The index of the currently referenced element */
    protected int index = 0;

    /**
     * Returns an {@link Iterable} that wraps the array for use in a for-each statement.

While containers provide isolated application execution environment, orchestration platforms allow seamless scaling by helping replicate and manage containers. MinIO extends this by adding isolated storage environment for each tenant.

## Detalhes Técnicos

Versões modernas de Python tem suporte para **"código assíncrono"** usando algo chamado **"corrotinas"**, com sintaxe **`async` e `await`**.

Vamos ver aquela frase por partes na seção abaixo:

* **Código assíncrono**
* **`async` e `await`**
* **Corrotinas**

## Código assíncrono