destroyFunc, registry := NewTestGenericStoreRegistry(t)
			defer destroyFunc()
			registry.Decorator = tc.decorator
			registry.UpdateStrategy.(*testRESTStrategy).allowCreateOnUpdate = true
			registry.BeginUpdate = tc.beginUpdate
			registry.AfterUpdate = tc.afterUpdate
			registry.BeginCreate = tc.beginCreate
			registry.AfterCreate = tc.afterCreate
			registry.TTLFunc = tc.ttl

	return nil
}

// nolint:errcheck   // Ignore the error returned by Register as before
var registry = func() Registry {
	r := make(Registry)
	r.Register(scoreWithNormalizePlugin1, newScoreWithNormalizePlugin1)
	r.Register(scoreWithNormalizePlugin2, newScoreWithNormalizePlugin2)
	r.Register(scorePlugin1, newScorePlugin1)

			},
			// images will be sorted from max to min in node status.
			Images: []v1.ContainerImage{
				{
					Names:     []string{"registry.k8s.io:v1", "registry.k8s.io:v2"},
					SizeBytes: 123,
				},
				{
					Names:     []string{"registry.k8s.io:v3", "registry.k8s.io:v4"},
					SizeBytes: 456,
				},
			},
		},
	}

	kubelet.updateRuntimeUp()

func metricsNodeHandler() http.Handler {
	registry := prometheus.NewRegistry()

	logger.CriticalIf(GlobalContext, registry.Register(nodeCollector))
	if err := registry.Register(prometheus.NewProcessCollector(prometheus.ProcessCollectorOpts{
		Namespace:    minioNamespace,
		ReportErrors: true,
	})); err != nil {
		logger.CriticalIf(GlobalContext, err)
	}
	if err := registry.Register(prometheus.NewGoCollector()); err != nil {

[plugins."io.containerd.grpc.v1.cri".registry.mirrors."docker.io"]
  endpoint = ["https://mirror.gcr.io","https://registry-1.docker.io"]
# Enable registry.k8s.io as the primary mirror for k8s.gcr.io
# See: https://github.com/kubernetes/k8s.io/issues/3411
[plugins."io.containerd.grpc.v1.cri".registry.mirrors."k8s.gcr.io"]
  endpoint = ["https://registry.k8s.io", "https://k8s.gcr.io",]

	imageList := []kubecontainer.Image{
		{
			ID:       "abc",
			RepoTags: []string{"registry.k8s.io:v1", "registry.k8s.io:v2"},
			Size:     123,
		},
		{
			ID:       "efg",
			RepoTags: []string{"registry.k8s.io:v3", "registry.k8s.io:v4"},
			Size:     456,
		},
	}

    // It is a terrible idea to have local MLIR contexts so we need to
    // register extensions here, again.
    mlir::DialectRegistry registry;
    registry.insert<mlir::func::FuncDialect>();
    mlir::func::registerAllExtensions(registry);
    xla_call_module_context_.appendDialectRegistry(registry);

    auto l = tensorflow::XlaCallModuleLoader::Create(
        &xla_call_module_context_, op.getVersion(), op.getModule().str(),

}

void LoadImporterDialects(mlir::MLIRContext& context) {
  // Load dialects involved in the conversion
  mlir::DialectRegistry registry;
  mlir::RegisterAllTensorFlowDialectsImpl(registry, false);
  context.appendDialectRegistry(registry);
  for (llvm::StringRef name : registry.getDialectNames())
    context.getOrLoadDialect(name);
}

absl::StatusOr<std::string> GetDenseTensorNameFromTensorInfo(

					{
						Name: "FakeNodeSelector",
						Args: &runtime.Unknown{Raw: []byte(`{"nodeName":"node3"}`)},
					},
				},
			},
		),
		WithFrameworkOutOfTreeRegistry(frameworkruntime.Registry{
			"FakeNodeSelector": newFakeNodeSelector,
		}),
	)
	if err != nil {
		t.Fatal(err)
	}

	// Capture the bindings and events' controllers.
	var wg sync.WaitGroup
	wg.Add(2 * len(pods))

	"k8s.io/apimachinery/pkg/labels"
	"k8s.io/apimachinery/pkg/types"
	"k8s.io/apimachinery/pkg/util/validation/field"
	genericapirequest "k8s.io/apiserver/pkg/endpoints/request"
	"k8s.io/apiserver/pkg/registry/rest"
	utilfeature "k8s.io/apiserver/pkg/util/feature"
	featuregatetesting "k8s.io/component-base/featuregate/testing"
	apitesting "k8s.io/kubernetes/pkg/api/testing"
	"k8s.io/kubernetes/pkg/apis/batch"