return nil, fmt.Errorf("unimplemented")
}

func (envoyFilterGenerator) extendedPrincipal(_ string, _ []string, _ bool) (*rbacpb.Principal, error) {
	return nil, fmt.Errorf("unimplemented")
}

type srcIPGenerator struct{}

func (srcIPGenerator) permission(_, _ string, _ bool) (*rbacpb.Permission, error) {
	return nil, fmt.Errorf("unimplemented")
}

	*buf = strconv.AppendInt(*buf, t.Unix(), 10)
}

func (h *fastTextHandler) WithAttrs([]slog.Attr) slog.Handler {
	panic("fastTextHandler: With unimplemented")
}

func (*fastTextHandler) WithGroup(string) slog.Handler {
	panic("fastTextHandler: WithGroup unimplemented")
}

// An asyncHandler simulates a Handler that passes Records to a
// background goroutine for processing.

Status ModularFileSystem::NewRandomAccessFile(
    const std::string& fname, TransactionToken* token,
    std::unique_ptr<RandomAccessFile>* result) {
  if (ops_->new_random_access_file == nullptr)
    return errors::Unimplemented(tensorflow::strings::StrCat(
        "Filesystem for ", fname, " does not support NewRandomAccessFile()"));

  UniquePtrTo_TF_Status plugin_status(TF_NewStatus(), TF_DeleteStatus);

  Status Create(const tensorflow::GraphDef& graph) override {
    return tensorflow::errors::Unimplemented("not available");
  }
  Status Extend(const tensorflow::GraphDef& graph) override {
    return tensorflow::errors::Unimplemented("not available");
  }

  Status Close() override {
    return tensorflow::errors::Unimplemented("not available");
  }

  Status ListDevices(

                                     size_t length) {
  return Unimplemented("SetAttrString has not been implemented yet.");
}
Status MlirAbstractOp::SetAttrInt(const char* attr_name, int64_t value) {
  return Unimplemented("SetAttrInt has not been implemented yet.");
}
Status MlirAbstractOp::SetAttrFloat(const char* attr_name, float value) {
  return Unimplemented("SetAttrFloat has not been implemented yet.");
}

	return eic.run()
}

func (eic *execInContainer) Output() ([]byte, error) {
	return nil, fmt.Errorf("unimplemented")
}

func (eic *execInContainer) SetDir(dir string) {
	// unimplemented
}

func (eic *execInContainer) SetStdin(in io.Reader) {
	// unimplemented
}

func (eic *execInContainer) SetStdout(out io.Writer) {
	eic.writer = out
}

    *type = builder.getType<mlir::tf_type::tftype##Type>(); \
    return OkStatus();
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_types.def"

    default:
      return errors::Unimplemented(absl::StrCat(
          "Converting DataType '", DataTypeString(dtype), "' to MLIR Type"));
  }
}

Status ConvertScalarTypeToDataType(Type type, DataType* dtype) {
  if (type.isF16()) {
    *dtype = DT_HALF;

}

Status FakeSession::Create(const tensorflow::GraphDef& graph) {
  return tensorflow::errors::Unimplemented("not available");
}
Status FakeSession::Extend(const tensorflow::GraphDef& graph) {
  return tensorflow::errors::Unimplemented("not available");
}

Status FakeSession::Close() {
  return tensorflow::errors::Unimplemented("not available");
}

Status FakeSession::ListDevices(

	})
}
func (f *recorderResourceManager) WebService() *restful.WebService {
	panic("unimplemented")
}

func (f *recorderResourceManager) ServeHTTP(http.ResponseWriter, *http.Request) {
	panic("unimplemented")
}

func (f *recorderResourceManager) WithSource(source Source) ResourceManager {
	panic("unimplemented")

	metav1.TypeMeta
	metav1.ListMeta
	Items []Foo
}

func (s *FooList) DeepCopyObject() runtime.Object { panic("unimplemented") }

type SampleList struct {
	metav1.TypeMeta
	metav1.ListMeta
	Items []Sample
}

func (s *SampleList) DeepCopyObject() runtime.Object { panic("unimplemented") }

type RawExtensionList struct {
	metav1.TypeMeta
	metav1.ListMeta

	Items []runtime.RawExtension
}