directExecutor());

    // Wait for the first task to be started in the background. It will block until we explicitly
    // stop it.
    blockingCallable.waitForStart();

    // Give the second task a chance to (incorrectly) start up while the first task is running.
    assertThat(future2.isDone()).isFalse();

    // Stop the first task. The second task should then run.
    blockingCallable.stop();

        return !((version == null || version.isEmpty()) || version.startsWith("[") || version.startsWith("("));
    }

    // TODO !![jc; 28-jul-2005] check this; if we're using '-r' and there are aggregator tasks, this will result in
    // weirdness.
    public MavenProject getTopLevelProject() {
        return sortedProjects.stream()
                .filter(MavenProject::isExecutionRoot)
                .findFirst()

There's a lot of work to do, and for most of it, **YOU** can do it.

The main tasks that you can do right now are:

* [Help others with questions in GitHub](#help-others-with-questions-in-github){.internal-link target=_blank} (see the section above).
* [Review Pull Requests](#review-pull-requests){.internal-link target=_blank} (see the section above).

Those two tasks are what **consume time the most**. That's the main work of maintaining FastAPI.

 *
 * <p>Prior to this class, one might be tempted to use {@code Map<K, Lock>}, where {@code K}
 * represents the task. This maximizes concurrency by having each unique key mapped to a unique
 * lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for
 * all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing

    private fun BaseGradleBuildType.getGradleTasks(): String {
        val runnerStep = this.steps.items.find { it.name == "GRADLE_RUNNER" } as GradleBuildStep
        return runnerStep.tasks!!
    }

    private fun BaseGradleBuildType.getGradleParams(): String {
        val runnerStep = this.steps.items.find { it.name == "GRADLE_RUNNER" } as GradleBuildStep
        return runnerStep.gradleParams!!
    }

			if serverDebugLog {
				fmt.Printf("Task in the queue: %#v\n", task)
			}
		default:
			// task queue is full, no more workers, we shall move on and heal later.
			return nil
		}
		// Don't wait for result
		return nil
	}

	// respCh must be set to wait for result.
	// We make it size 1, so a result can always be written
	// even if we aren't listening.

developing a Gradle plugin are to use lazy types (ConfigurableFileCollection, Provider API, domain object containers) when defining configurable parts of a plugin (tasks, extensions, domain objects).  The Provider API provides a consistent way to set conventions, wire related configuration together (extension <- domain object <- task) and avoid evaluation ordering problems.

The Gradle codebase has evolved over time and has a mixture of simple getter/setter methods, Provider API and things...

	}

	expiryWorker := func(wg *sync.WaitGroup, readyCh chan<- struct{}, taskCh <-chan expiryOp, gotExpired *[]ObjectToDelete) {
		defer wg.Done()
		// signal the calling goroutine that the worker is ready tor receive tasks
		close(readyCh)
		var expired []ObjectToDelete
		for t := range taskCh {
			switch v := t.(type) {
			case noncurrentVersionsTask:
				expired = append(expired, v.versions...)
			case expiryTask:

): List<String> =
    listOf(
        // We pass the 'maxParallelForks' setting as 'workers.max' to limit the maximum number of executers even
        // if multiple test tasks run in parallel. We also pass it to the Gradle build as a maximum (maxParallelForks)
        // for each test task, such that we are independent of whatever default value is defined in the build itself.
        "-Dorg.gradle.workers.max=$maxParallelForks",

* **WebSocket** support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.
* **CORS**, GZip, Static Files, Streaming responses.
* **Session and Cookie** support.
* 100% test coverage.
* 100% type annotated codebase.