std::optional<ConstBytesAttr> CustomOptions(MLIRContext* context,
                                            mlir::Operation* op) {
  if (auto reserve =
          llvm::dyn_cast_or_null<mlir::TF::TensorListReserveOp>(op)) {
    tflite::TensorType tflite_type =
        tflite::ConvertTypeToTensorType(reserve.getElementDtype());

    return CreateListReserveOptions(context, tflite_type);
  }

    final greeter = new CppGreeter()
    final sum = new CppSum()
    final multiply = new CppMultiply()

    final List<IncrementalElement.Transform> incrementalChanges = [
        preserve(greeter),
        rename(sum),
        delete(multiply)
    ]

	// It is optional only if x-kubernetes-preserve-unknown-fields
	// or x-kubernetes-int-or-string is true.
	Type     string
	Title    string
	Default  JSON
	Nullable bool
}

// +k8s:deepcopy-gen=true

// Extensions contains the Kubernetes OpenAPI v3 vendor extensions.
type Extensions struct {
	// x-kubernetes-preserve-unknown-fields stops the API server

   *     accepts a cause: Users of this class typically expect for instances to have a non-null
   *     cause. At the moment, you can <i>usually</i> still preserve behavior by passing an explicit
   *     {@code null} cause. Note, however, that passing an explicit {@code null} cause prevents
   *     anyone from calling {@link #initCause} later, so it is not quite equivalent to using a

                                                 ShapedType type) {
  // Extract to a vector of StringRefs for converting.
  auto arr = input_tensor.flat<tstring>();
  std::vector<mlir::StringRef> string_refs;
  string_refs.reserve(arr.size());
  for (int i = 0; i < arr.size(); i++) {
    const auto& val = arr(i);
    string_refs.push_back({val.data(), val.size()});
  }

  return ElementsAttr(DenseStringElementsAttr::get(type, string_refs));

    const mlir::Value& original_source, mlir::OpBuilder* builder,
    llvm::SmallVectorImpl<mlir::Value>* tiled_inputs) {
  llvm::SmallVector<mlir::TF::SplitOp, 4> split_ops_for_tiled_input;
  split_ops_for_tiled_input.reserve(
      input_sharding.tile_assignment_devices_size());

  // Creates a tree of split nodes for sharding tiled inputs. Splits nodes
  // are created such that input data is sharded in row major order.

            alternateMain = new SwiftMainWithCppDep(library.alternateGreeter)
        }

        @Override
        final List<IncrementalElement.Transform> getIncrementalChanges() {
            [preserve(main)]
        }

        final String moduleName = "App"

        @Override
        final String getExpectedOutput() {
            main.expectedOutput
        }

        @Override

    List<IncrementalElement.Transform> incrementalChanges = [
        modify(fooTestSuite, alternateFooTestSuite),
        add(barTestSuite),
        preserve(new SourceElement() {
            List<SourceFile> files = [barTestSuite.emptyInfoPlist()]
        })
    ]

    List<IncrementalElement.Transform> incrementalChanges = [
        modify(fooTestSuite, alternateFooTestSuite),
        delete(barTestSuite),
        preserve(new SourceElement() {
            List<SourceFile> files = [barTestSuite.emptyInfoPlist()]
        })
    ]

  quant::QuantizedType convertFakeQuantAttrsToType(ConstFakeQuantPerAxis fqOp,
                                                   Type expressedType) const {
    SmallVector<double, 4> min, max;
    min.reserve(fqOp.getMin().size());
    max.reserve(fqOp.getMax().size());
    for (auto m : fqOp.getMin())
      min.push_back(cast<FloatAttr>(m).getValueAsDouble());
    for (auto m : fqOp.getMax())