message HorizontalPodAutoscalerBehavior {
  // scaleUp is scaling policy for scaling Up.
  // If not set, the default value is the higher of:
  //   * increase no more than 4 pods per 60 seconds
  //   * double the number of pods per 60 seconds
  // No stabilization is used.
  // +optional
  optional HPAScalingRules scaleUp = 1;

  // scaleDown is scaling policy for scaling Down.

  // pod is immediatedly created on that node without considering surge limits.
  // Allowing surge implies the possibility that the resources consumed by the
  // daemonset on any given node can double if the readiness check fails, and
  // so resource intensive daemonsets should take into account that they may
  // cause evictions during disruption.
  // +optional

 * example round-trip using {@link com.google.common.primitives.Doubles#stringConverter}:
 *
 * <ol>
 *   <li>{@code stringConverter().convert("1.00")} returns the {@code Double} value {@code 1.0}
 *   <li>{@code stringConverter().reverse().convert(1.0)} returns the string {@code "1.0"} --
 *       <i>not</i> the same string ({@code "1.00"}) we started with
 * </ol>
 *

 *  Fix: Don't crash with a `InaccessibleObjectException` when detecting the platform trust manager
    on Java 17+.
 *  Fix: Don't crash if a cookie's value is a lone double quote character.
 *  Fix: Don't crash when canceling an event source created by `EventSources.processResponse()`.
 *  New: `Cache` now has a public constructor that takes an [okio.FileSystem]. This should make it

				}
				return nil
			},
			OutCapacity: 1,
			InCapacity:  1,
		}))
	}
	register(local)
	register(remote)
	// Double remote DL
	local.debugMsg(debugAddToDeadline, wantDL)
	defer local.debugMsg(debugAddToDeadline, time.Duration(0))
	remote.debugMsg(debugAddToDeadline, wantDL)
	defer remote.debugMsg(debugAddToDeadline, time.Duration(0))

TEST_P(UnifiedCAPI, TestBasicGraph) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);

  // Start a new function / execution context.
  string fn_name = "double";
  TF_ExecutionContext* graph_ctx =
      TF_CreateFunction(fn_name.c_str(), status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  auto* placeholder_t =

	go f()
	g()
}
</pre>

<p>
it can happen that <code>g</code> prints <code>2</code> and then <code>0</code>.
</p>

<p>
This fact invalidates a few common idioms.
</p>

<p>
Double-checked locking is an attempt to avoid the overhead of synchronization.
For example, the <code>twoprint</code> program might be
incorrectly written as:
</p>

<pre>
var a string
var done bool

  // Variable references $(VAR_NAME) are expanded using the container's environment. If a variable
  // cannot be resolved, the reference in the input string will be unchanged. Double $$ are reduced
  // to a single $, which allows for escaping the $(VAR_NAME) syntax: i.e. "$$(VAR_NAME)" will
  // produce the string literal "$(VAR_NAME)". Escaped references will never be expanded, regardless

    assertSame(a, numberOrdering.min(a, b));
  }

  private static class NumberOrdering extends Ordering<Number> {
    @Override
    public int compare(Number a, Number b) {
      return ((Double) a.doubleValue()).compareTo(b.doubleValue());
    }

    @Override
    public int hashCode() {
      return NumberOrdering.class.hashCode();
    }

    @Override

    assertSame(a, numberOrdering.min(a, b));
  }

  private static class NumberOrdering extends Ordering<Number> {
    @Override
    public int compare(Number a, Number b) {
      return ((Double) a.doubleValue()).compareTo(b.doubleValue());
    }

    @Override
    public int hashCode() {
      return NumberOrdering.class.hashCode();
    }

    @Override