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;

                               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));

		}
	}
}

// WithFrameworkOutOfTreeRegistry sets the registry for out-of-tree plugins. Those plugins
// will be appended to the default registry.
func WithFrameworkOutOfTreeRegistry(registry frameworkruntime.Registry) Option {
	return func(o *schedulerOptions) {
		o.frameworkOutOfTreeRegistry = registry
	}
}

class FunctionClusterTensorflowDialectTest : public ::testing::Test {
 public:
  FunctionClusterTensorflowDialectTest() {
    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;

 * 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.cache.Cache;
import org.gradle.cache.FileLockManager;
import org.gradle.cache.internal.CacheAccessSerializer;
import org.gradle.cache.internal.MapBackedCache;
import org.gradle.internal.file.Chmod;

                }
            }

            class CustomPlugin implements Plugin<Project> {
                @Inject
                CustomPlugin(ToolingModelBuilderRegistry registry) {
                    registry.register(new CustomBuilder());
                    registry.register(new CustomBuilder2());
                }

                public void apply(Project project) {
                }
            }

  llvm::cl::ParseCommandLineOptions(argc, argv,
                                    "TF Saved Model to Stablehlo converter\n");

  mlir::DialectRegistry registry;
  RegisterAllTensorFlowDialects(registry);
  mlir::MLIRContext context(registry);
  context.loadAllAvailableDialects();

  bool is_input_mlir_module = absl::EndsWith(input_path, ".mlir");
  std::vector<std::string> exported_model_signatures_in_vector =

import java.util.Map;

@ThreadSafe
public class PayloadSerializer {
    private final PayloadClassLoaderRegistry classLoaderRegistry;

    public PayloadSerializer(PayloadClassLoaderRegistry registry) {
        classLoaderRegistry = registry;
    }

    public SerializedPayload serialize(@Nullable Object payload) {
        if (payload == null) {
            return new SerializedPayload(null, Collections.<byte[]>emptyList());
        }

}

static TranslateFromMLIRRegistration mlir_to_graph_translate(
    /*name=*/"mlir-to-graph", /*description=*/"convert mlir to graph",
    MlirToGraphTranslateFunction, [](DialectRegistry& registry) {
      mlir::RegisterAllTensorFlowDialects(registry);
    });

static LogicalResult MlirToGraphdefTranslateFunction(
    ModuleOp module, llvm::raw_ostream& output) {
  if (!module) return failure();

apiVersion: v1
kind: Pod
metadata:
  name: test-pod
  labels:
    name: test-pod-label
spec:
  containers:
  - name: kubernetes-pause