"FINE: Q10000 finished run in   0 µs: task",
    )
  }

  /** Repeat with a delay of 200 but schedule with a delay of 50. The schedule wins. */
  @Test fun executeScheduledEarlierReplacesRepeatedLater() {
    val task =
      object : Task("task") {
        val schedules = mutableListOf(50.µs)
        val delays = mutableListOf(200.µs, -1)

        override fun runOnce(): Long {

      eachQueue@ for (queue in readyQueues) {
        val candidate = queue.futureTasks[0]
        val candidateDelay = maxOf(0L, candidate.nextExecuteNanoTime - now)

        when {
          // Compute the delay of the soonest-executable task.
          candidateDelay > 0L -> {
            minDelayNanos = minOf(candidateDelay, minDelayNanos)
            continue@eachQueue
          }

                                    e.getModelId(), e.getMessage(), pomFile != null ? pomFile.toFile() : null, e);
                        }
                        // validation error, continue project building and delay failing to help IDEs
                        error = e;
                    }

                    modelProblems = result.getProblems();

                    initProject(project, Collections.emptyMap(), result);

*   Added experimental support for an exactly-once visitation guarantee for evaluating Keras models trained with `tf.distribute ParameterServerStrategy`, via the `exact_evaluation_shards` argument in `Model.fit` and `Model.evaluate`.