*/
  @Override
  Set<N> successors(N node);

  /**
   * Returns the count of {@code node}'s incident edges, counting self-loops twice (equivalently,
   * the number of times an edge touches {@code node}).
   *
   * <p>For directed graphs, this is equal to {@code inDegree(node) + outDegree(node)}.
   *
   * <p>For undirected graphs, this is equal to {@code incidentEdges(node).size()} + (number of

   * original transformation and its inverse to a value gives you the original value give-or-take
   * numerical errors. Calling this method multiple times on the same instance will always return
   * the same instance. Calling this method on the result of calling this method on an instance will
   * always return that original instance.
   */

	}
	m.handlers.init()
	if ctx == nil {
		ctx = context.Background()
	}

	for _, host := range o.Hosts {
		if host == o.Local {
			if found {
				return nil, fmt.Errorf("grid: local host found multiple times")
			}
			found = true
			// No connection to local.
			continue
		}
		m.targets[host] = newConnection(connectionParams{
			ctx:           ctx,
			id:            m.ID,
			local:         o.Local,

    So, it's important to put this **near the end** of the `Dockerfile`, to optimize the container image build times.

6. Set the **command** to use `fastapi run`, which uses Uvicorn underneath.

    `CMD` takes a list of strings, each of these strings is what you would type in the command line separated by spaces.

   *         .putEdgeValue(BERLIN, BRUSSELS, kilometers(764))
   *         .addNode(REYKJAVIK)
   *         .build();
   * }
   *
   * <p>Builder instances can be reused; it is safe to call {@link #build} multiple times to build
   * multiple graphs in series. Each new graph contains all the elements of the ones created before
   * it.
   *
   * @since 28.0
   */
  public static class Builder<N, V> {

 *
 * <p>Future that delegates to another but will finish early (via a {@link TimeoutException} wrapped
 * in an {@link ExecutionException}) if the specified duration expires. The delegate future is
 * interrupted and cancelled if it times out.
 */
@J2ktIncompatible
@GwtIncompatible
final class TimeoutFuture<V extends @Nullable Object> extends FluentFuture.TrustedFuture<V> {
  static <V extends @Nullable Object> ListenableFuture<V> create(

        UnsignedLong bUnsigned = UnsignedLong.fromLongBits(b);
        long expected =
            aUnsigned.bigIntegerValue().multiply(bUnsigned.bigIntegerValue()).longValue();
        UnsignedLong unsignedMul = aUnsigned.times(bUnsigned);
        assertThat(unsignedMul.longValue()).isEqualTo(expected);
      }
    }
  }

  public void testDividedBy() {
    for (long a : TEST_LONGS) {
      for (long b : TEST_LONGS) {

    val elapsedUntilPong3 = System.nanoTime() - startNanos
    assertThat(TimeUnit.NANOSECONDS.toMillis(elapsedUntilPong3).toDouble())
      .isCloseTo(1500.0, 250.0)

    // The client pinged the server 3 times, and it has ponged back 3 times.
    assertThat(webSocket.sentPingCount()).isEqualTo(3)
    assertThat(server.receivedPingCount()).isEqualTo(3)
    assertThat(webSocket.receivedPongCount()).isEqualTo(3)

 * </ul>
 *
 * <p>The one downside of {@code Stopwatch} relative to {@link System#nanoTime()} is that {@code
 * Stopwatch} requires object allocation and additional method calls, which can reduce the accuracy
 * of the elapsed times reported. {@code Stopwatch} is still suitable for logging and metrics where
 * reasonably accurate values are sufficient. If the uncommon case that you need to maximize
 * accuracy, use {@code System.nanoTime()} directly instead.
 *

func (p *scannerMetrics) incTime(s scannerMetric, d time.Duration) {
	atomic.AddUint64(&p.operations[s], 1)
	if s < scannerMetricLastRealtime {
		p.latency[s].add(d)
	}
}

// timeILM times an ILM action.
// lifecycle.NoneAction is ignored.
// Use for s < scannerMetricLastRealtime
func (p *scannerMetrics) timeILM(a lifecycle.Action) func(versions uint64) {