}

func TestResourceConfigForPodWithCustomCPUCFSQuotaPeriod(t *testing.T) {
	defaultQuotaPeriod := uint64(100 * time.Millisecond / time.Microsecond) // in microseconds
	tunedQuotaPeriod := uint64(5 * time.Millisecond / time.Microsecond)     // in microseconds
	tunedQuota := int64(1 * time.Millisecond / time.Microsecond)

	featuregatetesting.SetFeatureGateDuringTest(t, utilfeature.DefaultFeatureGate, pkgfeatures.CPUCFSQuotaPeriod, true)

}  // namespace

// Counter that records how long it took to execute the checkpoint sharding
// callback in microseconds.
auto* sharding_callback_duration = monitoring::Counter<0>::New(
    "/tensorflow/core/checkpoint/sharding/callback_duration",
    "Sharding callback execution duration in microseconds.");

// Counter that records how many checkpoint shard files were written during
// saving.

  }

  public void testElapsed_micros() {
    stopwatch.start();
    ticker.advance(999);
    assertEquals(0, stopwatch.elapsed(MICROSECONDS));
    ticker.advance(1);
    assertEquals(1, stopwatch.elapsed(MICROSECONDS));
  }

  public void testElapsed_millis() {
    stopwatch.start();
    ticker.advance(999999);
    assertEquals(0, stopwatch.elapsed(MILLISECONDS));

#### The time to answer helps the attackers

	// Output: I've got 4.5 hours of work left.
}

func ExampleDuration_Microseconds() {
	u, _ := time.ParseDuration("1s")
	fmt.Printf("One second is %d microseconds.\n", u.Microseconds())
	// Output:
	// One second is 1000000 microseconds.
}

func ExampleDuration_Milliseconds() {
	u, _ := time.ParseDuration("1s")
	fmt.Printf("One second is %d milliseconds.\n", u.Milliseconds())
	// Output:

    "/tensorflow/cc/saved_model/load_latency",
    "Latency in microseconds for SavedModels that were successfully loaded.",
    "model_path");
auto* load_latency_by_stage = monitoring::Sampler<2>::New(
    {
        "/tensorflow/cc/saved_model/load_latency_by_stage",  // metric name
        "Distribution of wall time spent (in microseconds) in each stage "
        "(restore graph from disk, run init graph op, etc) when loading the "

                                        int64_t filesize);

// Returns "/tensorflow/core/checkpoint/sharding/callback_duration" cell which
// describes how long it took to execute the checkpoint sharding callback in
// microseconds.
monitoring::CounterCell& ShardingCallbackDuration();

// Returns "/tensorflow/core/checkpoint/sharding/num_checkpoint_shards_written"
// cell which describes how many checkpoint shard files were written during

	labels = append(labels, "api", "")
	lastIdx := len(labels) - 1
	for apiName, latency := range disk.Metrics.LastMinute {
		labels[lastIdx] = "storage." + apiName
		m.Set(driveAPILatencyMicros, float64(latency.Avg().Microseconds()),
			labels...)
	}
}

func (m *MetricValues) setDriveIOStatMetrics(ioStats driveIOStatMetrics, labels []string) {
	m.Set(driveReadsPerSec, ioStats.readsPerSec, labels...)

  private var nextQueueName = 10000
  private var coordinatorWaiting = false
  private var coordinatorWakeUpAt = 0L

  /**
   * When we need a new thread to run tasks, we call [Backend.execute]. A few microseconds later we
   * expect a newly-started thread to call [Runnable.run]. We shouldn't request new threads until
   * the already-requested ones are in service, otherwise we might create more threads than we need.
   *

		}
	}
	return w
}

// Nanoseconds returns the duration as an integer nanosecond count.
func (d Duration) Nanoseconds() int64 { return int64(d) }

// Microseconds returns the duration as an integer microsecond count.
func (d Duration) Microseconds() int64 { return int64(d) / 1e3 }

// Milliseconds returns the duration as an integer millisecond count.
func (d Duration) Milliseconds() int64 { return int64(d) / 1e6 }