"time",
					"logging-api",
					"public-api-tests",
					"kotlin-dsl-plugins",
					"serialization",
					"toolchains-jvm-shared",
					"build-process-services",
					"docs-asciidoctor-extensions-base",
					"internal-instrumentation-processor"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"testing-jvm",
					"security",

    "crossVersionTests": false
  },
  {
    "name": "process-memory-services",
    "path": "platforms/core-runtime/process-memory-services",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": false
  },
  {
    "name": "process-services",
    "path": "platforms/core-runtime/process-services",
    "unitTests": false,
    "functionalTests": false,

      return true
    }

    var pos = pos + 4 // 'xn--'.size.

    // We'd prefer to operate directly on `result` but it doesn't offer insertCodePoint(), only
    // appendCodePoint(). The Punycode algorithm processes code points in increasing code-point
    // order, not in increasing index order.
    val codePoints = mutableListOf<Int>()

    // consume all code points before the last delimiter (if there is one)

		return fmt.Errorf("could not build port forwarder for prometheus: %v", err)
	}

	if err = fw.Start(); err != nil {
		return fmt.Errorf("failure running port forward process: %v", err)
	}

	// Close the forwarder either when we exit or when an this processes is interrupted.
	defer fw.Close()
	dashboard.ClosePortForwarderOnInterrupt(fw)

	log.Debugf("port-forward to prometheus pod ready")

- Processando dados:
  - Por exemplo, digamos que você receba um arquivo que deve passar por um processo lento, você pode retornar uma resposta de "Aceito" (HTTP 202) e processá-lo em segundo plano.

## Usando `BackgroundTasks`

  }

  /*
   * @IgnoreJRERequirement should be redundant with the one on Streams itself, but it's necessary as
   * of Animal Sniffer 1.24. Maybe Animal Sniffer processes this nested class before it processes
   * Streams and thus hasn't had a chance to see Streams's annotation?
   */
  @IgnoreJRERequirement
  private abstract static class MapWithIndexSpliterator<
          F extends Spliterator<?>,

  For more information, see [#47131](https://github.com/kubernetes/kubernetes/issues/47131)

*   If a namespaced resource is owned by a cluster scoped resource, and the namespaced dependent is processed before the cluster scoped owner has ever been observed by the garbage collector, the dependent will be erroneously deleted.

  For more information, see [#54940](https://github.com/kubernetes/kubernetes/issues/54940)

Sie erfordern in der Regel komplexere Konfigurationen und einen Nachrichten-/Job-Queue-Manager wie RabbitMQ oder Redis, ermöglichen Ihnen jedoch die Ausführung von Hintergrundtasks in mehreren Prozessen und insbesondere auf mehreren Servern.

Um ein Beispiel zu sehen, sehen Sie sich die [Projektgeneratoren](../project-generation.md){.internal-link target=_blank} an. Sie alle enthalten Celery, bereits konfiguriert.

Das ist die Grundidee. Aber Sie möchten sich wahrscheinlich um einige zusätzliche Dinge kümmern, wie zum Beispiel:

* Sicherheit – HTTPS
* Beim Hochfahren ausführen
* Neustarts
* Replikation (die Anzahl der laufenden Prozesse)
* Arbeitsspeicher
* Schritte vor dem Start

Como eles são parte da URL, eles são "naturalmente" strings.

Mas quando você declara eles com os tipos do Python (no exemplo acima, como `int`), eles são convertidos para aquele tipo e validados em relação a ele.

Todo o processo que era aplicado para parâmetros de rota também é aplicado para parâmetros de consulta:

* Suporte do editor (obviamente)
* <abbr title="convertendo uma string que vem de um request HTTP em um dado Python">"Parsing"</abbr> de dados