* 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

   * is running when that time is reached, that task is allowed to complete before this task is
   * started. Similarly the task will be delayed if the host lacks compute resources.
   *
   * @throws RejectedExecutionException if the queue is shut down and the task is not cancelable.
   */
  fun schedule(
    task: Task,
    delayNanos: Long = 0L,
  ) {
    taskRunner.lock.withLock {
      if (shutdown) {

  /**
   * True if this task faker has ever had multiple tasks scheduled to run concurrently. Guarded by
   * [taskRunner].
   */
  var isParallel = false

  /** Guarded by [taskRunner]. */
  var nanoTime = 0L
    private set

  /** Backlog of tasks to run. Only one task runs at a time. Guarded by [taskRunner]. */
  private val serialTaskQueue = ArrayDeque<SerialTask>()

    }
  }

  private fun beforeRun(task: Task) {
    lock.assertHeld()

    task.nextExecuteNanoTime = -1L
    val queue = task.queue!!
    queue.futureTasks.remove(task)
    readyQueues.remove(queue)
    queue.activeTask = task
    busyQueues.add(queue)
  }

  private fun runTask(task: Task) {
    val currentThread = Thread.currentThread()

    duration: Long,
    unit: TimeUnit,
  ) = apply {
    actions += { Thread.sleep(unit.toMillis(duration)) }
  }

  override fun handle(stream: Stream) {
    val task = serviceStreamTask(stream)
    results.add(task)
    task.run()
  }

  /** Returns a task that processes both request and response from [stream]. */
  private fun serviceStreamTask(stream: Stream): FutureTask<Void> {
    return FutureTask<Void> {

  }

  @Test fun taskFailsWithUncheckedException() {
    queue.schedule("task", TimeUnit.MILLISECONDS.toNanos(100)) {
      log.put("failing task running")
      throw RuntimeException("boom!")
    }

    queue.schedule("task", TimeUnit.MILLISECONDS.toNanos(200)) {
      log.put("normal task running")
      return@schedule -1L
    }

    queue.idleLatch().await(500, TimeUnit.MILLISECONDS)

import java.io.IOException
import java.util.concurrent.CopyOnWriteArrayList
import java.util.concurrent.LinkedBlockingDeque
import java.util.concurrent.TimeUnit
import okhttp3.internal.concurrent.Task
import okhttp3.internal.concurrent.TaskRunner
import okhttp3.internal.connection.RoutePlanner.ConnectResult
import okhttp3.internal.connection.RoutePlanner.Plan
import okhttp3.internal.okHttpName

/**

01-01 12:53:32.818 10999 11090 D OkHttp  : [56 ms] callEnd
```

3. Run tests using gradle

```
$ ANDROID_SDK_ROOT=/Users/myusername/Library/Android/sdk ./gradlew :regression-test:connectedCheck
...
> Task :regression-test:connectedDebugAndroidTest
...
11:55:40 V/InstrumentationResultParser: Time: 13.271
11:55:40 V/InstrumentationResultParser:
11:55:40 V/InstrumentationResultParser: OK (12 tests)
...

 *  New: Share threads more aggressively between OkHttp's HTTP/2 connections, connection pool,
    web sockets, and cache. OkHttp has a new internal task runner abstraction for managed task
    scheduling. In your debugger you will see new thread names and more use of daemon threads.

 *  Fix: Don't drop callbacks on unexpected exceptions. When an interceptor throws an unchecked

[2020-01-01 00:00:00] << 0x00000003     0 DATA          END_STREAM
[2020-01-01 00:00:00] << 0x00000000     8 GOAWAY
[2020-01-01 00:00:05] << 0x00000000     8 GOAWAY
```

### Task Runner Logging 

This logs task enqueues, starts, and finishes.

```
[2020-01-01 00:00:00] Q10000 scheduled after   0 µs: OkHttp ConnectionPool
[2020-01-01 00:00:00] Q10000 starting              : OkHttp ConnectionPool