They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

necessariamente precisar que seja executada pelo mesmo processo (por exemplo, você não precisa compartilhar memória, variáveis, etc.), pode se beneficiar do uso de outras ferramentas maiores, como o <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>.

Elas tendem a exigir configurações mais complexas, um gerenciador de fila de mensagens/tarefas, como RabbitMQ ou Redis, mas permitem executar tarefas em segundo plano em vários processos e, especialmente, em...

## 경고

만약 무거운 백그라운드 작업을 수행해야하고 동일한 프로세스에서 실행할 필요가 없는 경우 (예: 메모리, 변수 등을 공유할 필요가 없음) <a href="https://docs.celeryq.dev" class="external-link" target="_blank">`Celery`</a>와 같은 큰 도구를 사용하면 도움이 될 수 있습니다.

RabbitMQ 또는 Redis와 같은 메시지/작업 큐 시스템 보다 복잡한 구성이 필요한 경향이 있지만, 여러 작업 프로세스를 특히 여러 서버의 백그라운드에서 실행할 수 있습니다.

## 警告

大量のバックグラウンド計算が必要であり、必ずしも同じプロセスで実行する必要がない場合 (たとえば、メモリや変数などを共有する必要がない場合)、<a href="https://www.celeryproject.org/" class="external-link" target="_blank">Celery</a> のようなより大きな他のツールを使用するとメリットがあるかもしれません。

これらは、より複雑な構成、RabbitMQ や Redis などのメッセージ/ジョブキューマネージャーを必要とする傾向がありますが、複数のプロセス、特に複数のサーバーでバックグラウンドタスクを実行できます。

* 📝 Update includes for `docs/en/docs/tutorial/body-updates.md`. PR [#12712](https://github.com/fastapi/fastapi/pull/12712) by [@davioc](https://github.com/davioc).
* 📝 Remove mention of Celery in the project generators. PR [#12742](https://github.com/fastapi/fastapi/pull/12742) by [@david-caro](https://github.com/david-caro).

        throw e;
      }
    };
  }

  /** Returns a {@link CacheLoader} that returns the key for every request. */
  static <T> IdentityLoader<T> identityLoader() {
    return new IdentityLoader<T>();
  }

  /**
   * Returns a {@code new Object()} for every request, and increments a counter for every request.
   * The count is accessible via {@link #getCount}.
   */

       - The compressed index.xml file contains a timestamp property which
       changes with every test execution, such that running the test
       actually changes the test classpath itself. This means that it
       can"t benefit from incremental build acceleration, because on every
       execution it sees that the classpath has changed, and so to be
       safe, it needs to re-run.

## Composition by architecture modules

Each [architecture module and platform](platforms.md) can contribute code to any of the runtimes.
Not every module contributes to every runtime.

The core-runtime module defines each runtime:

- The target JVM for the runtime. Each runtime has its own JVM compatibility constraints.

        )

    @BeforeEach
    fun setUp() {
        val stepsCapturer = slot<BuildSteps.() -> Unit>()
        every { buildType.steps } returns steps
        every { buildType.stage } returns buildModel.stages[2]
        every {
            buildType.steps(capture(stepsCapturer))
        } answers {
            stepsCapturer.captured(steps)
            mockk()
        }
    }

 */
package org.apache.maven.toolchain;

import org.apache.maven.execution.MavenSession;

/**
 * Component for use by the <code>maven-toolchains-plugin</code> only.
 * It provides API: <ol>
 * <li>to retrieve every toolchains available in user settings,</li>
 * <li>to store chosen toolchain into build context for later use by toolchain-aware plugins.</li>
 * </ol>
 *
 * @since 2.0.9