immutable.configurationNames == ["compile", "runtime", "test", "provided", "system", "optional", "master", "default", "javadoc", "sources"] as Set
        immutable.variants.empty
    }

    def "initialises values from descriptor state and defaults"() {
        def id = DefaultModuleComponentIdentifier.newId(DefaultModuleIdentifier.newId("group", "module"), "version")

        def vid = Mock(ModuleVersionIdentifier)

	existingPorts := nodeInfo.UsedPorts
	for _, cp := range wantPorts {
		if existingPorts.CheckConflict(cp.HostIP, string(cp.Protocol), cp.HostPort) {
			return false
		}
	}
	return true
}

// New initializes a new plugin and returns it.
func New(_ context.Context, _ runtime.Object, _ framework.Handle) (framework.Plugin, error) {
	return &NodePorts{}, nil

	return New(pr, func(max int, rangeSpec string, offset int) (allocator.Interface, error) {
		return allocator.NewAllocationMapWithOffset(max, rangeSpec, offset), nil
	})
}

// NewFromSnapshot allocates a PortAllocator and initializes it from a snapshot.
func NewFromSnapshot(snap *api.RangeAllocation) (*PortAllocator, error) {
	pr, err := net.ParsePortRange(snap.Range)
	if err != nil {
		return nil, err
	}
	r, err := NewInMemory(*pr)

		return true
	}

	_, ok := a.GetObject().(*api.Pod)
	if !ok {
		klog.Errorf("expected pod but got %s", a.GetKind().Kind)
		return true
	}

	return false
}

// NewPodNodeSelector initializes a podNodeSelector
func NewPodNodeSelector(clusterNodeSelectors map[string]string) *Plugin {
	return &Plugin{
		Handler:              admission.NewHandler(admission.Create),
		clusterNodeSelectors: clusterNodeSelectors,

      tf_saved_model.initializer_type = "restore_op",
      tf_saved_model.exported_names = ["tf_saved_model.session_initializer_restore_op"]} {
    // This const is shared and initializes two variables.
    %cst_0 = "tf.Const"() {value = dense<1.000000e+00> : tensor<2xf32>} : () -> tensor<2xf32>

    %var_0 = "tf.VarHandleOp"() {shared_name = "var_0"} : () -> tensor<!tf_type.resource<tensor<2xf32>>>

	// Invariant: 0 <= rdPos <= wrPos <= len(hist)
	wrPos int  // Current output position in buffer
	rdPos int  // Have emitted hist[:rdPos] already
	full  bool // Has a full window length been written yet?
}

// init initializes dictDecoder to have a sliding window dictionary of the given
// size. If a preset dict is provided, it will initialize the dictionary with
// the contents of dict.
func (dd *dictDecoder) init(size int, dict []byte) {

    TypeAttr:$type,
    UnitAttr:$is_mutable
  );

  let hasVerifier = 1;
}

def TfSavedModel_SessionInitializerOp: TfSavedModel_Op<"session_initializer"> {
  let summary = "Initializes TensorFlow session state.";
  let description = [{
    The session initializer op marks one or more functions that must be called
    by an external agent exactly once to initialize TensorFlow session state,

using ::mlir::tf_saved_model::kTfSavedModelIndexPathAttr;
using ::mlir::tf_saved_model::kTfSavedModelInitializerRestoreType;

// This pass creates a RestoreV2 op in the initializer function with
// type "restore_op" that initializes variables from checkpoint. It finds
// tf.AssignVariableOp(tf.VarHandleOp, tf.Const) patterns in the initializer
// function and replaces tf.Consts with the results of RestoreV2.
class InsertRestoreOpPass

Persistently slow build startup times are usually the result of problems in your init scripts.
Double check that the work you’re doing there is necessary and performant.

=== Settings and _buildSrc_

After startup, Gradle initializes your project. Usually, Gradle only processes your settings file.
If you have custom build logic in a `buildSrc` directory, Gradle also processes that logic.

//	// Start must be called again:
//	anotherGenericInformer := factory.ForResource(resource)
//	factory.Start(ctx.Done())
type SharedInformerFactory interface {
	internalinterfaces.SharedInformerFactory

	// Start initializes all requested informers. They are handled in goroutines
	// which run until the stop channel gets closed.
	Start(stopCh <-chan struct{})

	// Shutdown marks a factory as shutting down. At that point no new