* @return this resolution strategy
     * @since 6.1
     */
    ResolutionStrategy failOnChangingVersions();

    /**
     * Configures Gradle to fail the build is the resolution result is expected to be unstable, that is to say that
     * it includes dynamic versions or changing versions and therefore the result may change depending
     * on when the build is executed.
     *

	// KubernetesVersion is the target version of the control plane.
	// +optional
	KubernetesVersion string `json:"kubernetesVersion,omitempty"`

	// AllowExperimentalUpgrades instructs kubeadm to show unstable versions of Kubernetes as an upgrade
	// alternative and allows upgrading to an alpha/beta/release candidate version of Kubernetes.
	// Default: false
	// +optional

  // determinism. Sorting control inputs could help (but not necessarily) create
  // a deterministic serialization and fingerprint. Other sources of
  // nondeterminism include unstable node ordering.
  SortControlInputs(&def);

  std::string s;
  if (!SerializeToStringDeterministic(def, &s)) {
    return errors::Internal("Failed to serialize graphdef.");
  }
  return s;
}

					tpsList = append(tpsList, targetPort)
				}
			}

			// Iterate over target ports in the same order as defined in service spec, in case of
			// protocol conflict for a port causes unstable protocol selection for a port.
			for _, tp := range tpsList {
				svcPort := tps[tp]
				out = append(out, model.ServiceTarget{
					Service: modelService,
					Port: model.ServiceInstancePort{

			data.initB()
			b.StartTimer()
			algo(data)
			b.StopTimer()
			if !IsSorted(data) {
				b.Errorf("%s did not sort %d ints", name, n)
			}
			if name == "Stable" && !data.inOrder() {
				b.Errorf("%s unstable on %d ints", name, n)
			}
		}
	}
}

func BenchmarkSort1e2(b *testing.B)   { bench(b, 1e2, Sort, "Sort") }
func BenchmarkStable1e2(b *testing.B) { bench(b, 1e2, Stable, "Stable") }

        if (!selectors.isEmpty()) {
            if (selectors.stream().allMatch(DependencyGraphBuilder::isDynamic)) {
                // when all selectors are dynamic, result is undoubtedly unstable
                markDeniedDynamicVersions(selected);
            } else if (selectors.stream().anyMatch(DependencyGraphBuilder::isDynamic)) {
                checkIfDynamicVersionAllowed(selected, selectors);
            }

  // MatchConstraints specifies what resources this policy is designed to validate.
  // The AdmissionPolicy cares about a request if it matches _all_ Constraints.
  // However, in order to prevent clusters from being put into an unstable state that cannot be recovered from via the API
  // ValidatingAdmissionPolicy cannot match ValidatingAdmissionPolicy and ValidatingAdmissionPolicyBinding.
  // Required.
  optional MatchResources matchConstraints = 2;

	"matchConstraints": "MatchConstraints specifies what resources this policy is designed to validate. The AdmissionPolicy cares about a request if it matches _all_ Constraints. However, in order to prevent clusters from being put into an unstable state that cannot be recovered from via the API ValidatingAdmissionPolicy cannot match ValidatingAdmissionPolicy and ValidatingAdmissionPolicyBinding. Required.",

TEST_F(NaryGradTest, Atan2Grad) {
  TensorShape shape({3, 2, 5});
  auto x1 = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(shape));
  // Test with x2 = 1 + |x1| to avoid regions where the gradient
  // is unstable and might cause problems for the numeric estimator.
  auto x2 =
      Div(scope_, x1, Add(scope_, Const<float>(scope_, 1), Abs(scope_, x1)));
  auto y = Atan2(scope_, x1, x2);
  RunTest({x1}, {shape}, {y}, {shape});

     * fraction of read operations.
     */
    final AtomicInteger readCount = new AtomicInteger();

    Segment(MapMakerInternalMap<K, V, E, S> map, int initialCapacity) {
      this.map = map;
      initTable(newEntryArray(initialCapacity));
    }

    /**
     * Returns {@code this} up-casted to the specific {@link Segment} implementation type {@code S}.
     *