import static org.gradle.model.internal.type.ModelTypes.modelMap
import static org.gradle.util.internal.CollectionUtils.single

class NativeComponentModelPluginTest extends AbstractProjectBuilderSpec {
    def registry

    def setup() {
        registry = project.modelRegistry
        project.pluginManager.apply(NativeComponentModelPlugin)
    }

    def "can apply plugin by id"() {
        given:

  }
  return count;
}

class TensorflowDialectToExecutorTest : public ::testing::Test {
 public:
  TensorflowDialectToExecutorTest() {
    mlir::RegisterCommonToolingDialects(registry_);
    context_.appendDialectRegistry(registry_);
    context_.loadAllAvailableDialects();
  }

  absl::Status CreateMlirModule(std::string mlir_module_filename) {
    std::string mlir_module_path = TestDataPath() + mlir_module_filename;

static void RegisterMlirInputDialects(mlir::DialectRegistry& registry) {
  // TODO(b/259459405): Remove support for stablehlo as an input.
  registry
      .insert<mlir::arith::ArithDialect, mlir::func::FuncDialect,
              mlir::TF::TensorFlowDialect, mlir::stablehlo::StablehloDialect,
              mlir::quant::QuantizationDialect>();
  mlir::func::registerAllExtensions(registry);
}

	// The name of the service registry containing the service (e.g. 'Kubernetes').
	Registry string `protobuf:"bytes,2,opt,name=registry,proto3" json:"registry,omitempty"`
	// The k8s service name. Only applies when registry=`Kubernetes`
	Shortname string `protobuf:"bytes,3,opt,name=shortname,proto3" json:"shortname,omitempty"`
	// The k8s namespace for the service. Only applies when registry=`Kubernetes`

import org.gradle.internal.service.scopes.ServiceScope;
import org.gradle.launcher.daemon.context.DaemonContext;
import org.gradle.launcher.daemon.logging.DaemonMessages;
import org.gradle.launcher.daemon.registry.DaemonRegistry;
import org.gradle.launcher.daemon.server.api.DaemonStateControl;
import org.gradle.launcher.daemon.server.exec.DaemonCommandExecuter;
import org.gradle.launcher.daemon.server.expiry.DaemonExpirationListener;

	"k8s.io/apimachinery/pkg/labels"
	"k8s.io/apimachinery/pkg/runtime"
	genericapirequest "k8s.io/apiserver/pkg/endpoints/request"
	"k8s.io/apiserver/pkg/registry/generic"
	genericregistrytest "k8s.io/apiserver/pkg/registry/generic/testing"
	"k8s.io/apiserver/pkg/registry/rest"
	etcd3testing "k8s.io/apiserver/pkg/storage/etcd3/testing"
	utilfeature "k8s.io/apiserver/pkg/util/feature"

	// maintains list of evaluators
	registry quota.Registry

	updateFilter UpdateFilter
}

// NewMonitor creates a new instance of a QuotaMonitor
func NewMonitor(informersStarted <-chan struct{}, informerFactory informerfactory.InformerFactory, ignoredResources map[schema.GroupResource]struct{}, resyncPeriod controller.ResyncPeriodFunc, replenishmentFunc ReplenishmentFunc, registry quota.Registry, updateFilter UpdateFilter) *QuotaMonitor {

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.gradle.launcher.daemon.registry;

import org.gradle.internal.service.scopes.Scope;
import org.gradle.internal.service.scopes.ServiceScope;
import org.gradle.util.internal.GFileUtils;
import org.gradle.util.GradleVersion;

import java.io.File;

    }

    private DefaultServiceRegistry createLoggingServices(ServiceLookup clientLoggingServices) {
        // Need to use some specific logging services from the client-specific registry, rather than the global registry
        DefaultServiceRegistry loggingServices = new DefaultServiceRegistry(sharedServices);
        loggingServices.add(OutputEventListener.class, clientLoggingServices.get(OutputEventListener.class));

                               std::vector<TensorShape>& arg_shapes,
                               tpu::TPUCompileMetadataProto& metadata_proto) {
  mlir::DialectRegistry registry;
  mlir::RegisterCommonToolingDialects(registry);
  mlir::MLIRContext context(registry);
  mlir::OwningOpRef<mlir::ModuleOp> mlir_module;

  TF_RETURN_IF_ERROR(
      DeserializeMlirModule(mlir_module_str, &context, &mlir_module));