* decide not to by returning -1L.
 *
 * Task Queues
 * -----------
 *
 * Tasks are bound to the [TaskQueue] they are scheduled in. Each queue is sequential and the tasks
 * within it never execute concurrently. It is an error to use a task in multiple queues.
 */
abstract class Task(
  val name: String,
  val cancelable: Boolean = true,
) {
  // Guarded by the TaskRunner.
  internal var queue: TaskQueue? = null

 * limitations under the License.
 */

plugins {
    java
}

val validateTaskName = "validatePlugins"
val reportFileName = "task-properties/report.txt"

tasks.register<ValidatePlugins>(validateTaskName) {
    val main = project.sourceSets.main.get()
    classes.from(main.output)
    classpath.from(main.runtimeClasspath)

        ObjectFactory objects = project.getObjects();
        // TODO: This breaks if version is changed later
        Object version = project.getVersion();

        TaskProvider<Javadoc> javadocAll = tasks.register("javadocAll", Javadoc.class, task -> {
            task.setGroup("documentation");
            task.setDescription("Generate Javadocs for all API classes");

            println("CACHE_MISS in task $taskPath")
            cacheMiss.set(true)
        }
    }
}


/**
 *  We monitor some tasks in non-seed builds. If a task executed in a non-seed build, we think it as "CACHE_MISS".
 */
fun isCacheMissMonitoredTask(task: Task) = task.isCompileCacheMissMonitoredTask() || task.project.isAsciidoctorCacheMissTask()

{* ../../docs_src/background_tasks/tutorial001.py hl[6:9] *}

## Add the background task

Inside of your *path operation function*, pass your task function to the *background tasks* object with the method `.add_task()`:

{* ../../docs_src/background_tasks/tutorial001.py hl[14] *}

`.add_task()` receives as arguments:

* A task function to be run in the background (`write_notification`).

            println("##teamcity[buildProblem description='${buildScanUri}/console-log?task=$it']")
        }
    }
}

fun shouldBeReportedAsTeamCityBuildProblem(task: Task) = task is Checkstyle || task is Detekt || task is AbstractCompile || task is CodeNarc

abstract class CollectFailedTaskPathsBuildService : AbstractBuildScanInfoCollectingService() {

            );
            task.getDocsDirectory().convention(extension.getDocumentationRenderedRoot());
            task.getPort().convention(webserverPort);

            task.dependsOn(extension.getRenderedDocumentation());
        });

        tasks.register("docs", task -> {
            task.setDescription("Generates all documentation");
            task.setGroup("documentation");

        setMemoryForWorkers(project);
    }

    private static void setMemoryForWorkers(Project project) {
        project.getTasks().withType(DokkatooGenerateTask.class).configureEach(task -> {
            task.getWorkerMinHeapSize().set("512m");
            task.getWorkerMaxHeapSize().set("2g");
        });
    }

    private static void setStyling(Project project, GradleDocumentationExtension extension) {

  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  const char task0_name[] = "/job:localhost/replica:0/task:0/device:CPU:0";
  const char task1_name[] = "/job:localhost/replica:0/task:1/device:CPU:0";
  const char task2_name[] = "/job:localhost/replica:0/task:2/device:CPU:0";

  // Create one variable per task.
  TFE_TensorHandle* h0 = TestVariable(ctx, 1.0, task1_name);
  TFE_TensorHandle* h1 = TestVariable(ctx, 2.0, task2_name);

  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

  const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0";
  const char* first_device_name =
      "/job:localhost/replica:0/task:0/device:CPU:0";
  const char* second_device_name =
      "/job:localhost/replica:0/task:0/device:CPU:1";
  std::array<const char*, 2> underlying_devices{first_device_name,