while_op->erase();
    } else if (auto while_op = dyn_cast<TF::WhileRegionOp>(user_op)) {
      auto new_while_op = GetUpdatedWhileOp(
          while_op, while_op.getCond().getArgumentTypes(), args_to_erase);
      new_while_op.getCond().takeBody(while_op.getCond());
      new_while_op.getBody().takeBody(while_op.getBody());
      llvm::BitVector erase_indices;
      UpdateTerminatorArguments(new_while_op.getBody(), args_to_erase,

    public Container(Node node) {
        super(node);
    }

    public Container(String path) {
        super(path);
    }

    @Override
    public String getKind() {
        return "con";
    }

    @Override
    public String toString() {
        return "Container" + super.toString();
    }

    private final int kind;
    private final String pattern;

    public DefaultAccessRule(int kind, String pattern) {
        this.kind = kind;
        this.pattern = pattern;
    }

    public int getKind() {
        return kind;
    }

    public String getPattern() {
        return pattern;
    }

}

// ApplyObject creates or updates an object in the API server depending on whether it already exists.
// It mutates obj.
func (h *HelmReconciler) ApplyObject(obj *unstructured.Unstructured) error {
	if obj.GetKind() == "List" {
		var errs util.Errors
		list, err := obj.ToList()
		if err != nil {
			scope.Errorf("error converting List object: %s", err)
			return err
		}
		for _, item := range list.Items {

		items = append(items, usList.Items...)
	}
	kindNameMap := make(map[string][]string)
	for _, o := range items {
		nameList := kindNameMap[o.GetKind()]
		if nameList == nil {
			kindNameMap[o.GetKind()] = []string{}
		}
		kindNameMap[o.GetKind()] = append(kindNameMap[o.GetKind()], o.GetName())
	}
	if len(kindNameMap) == 0 {
		return "", ""
	}
	output, gwlist := "", []string{}
	for kind, name := range kindNameMap {

    if (!type || !type.getElementType().isF32()) {
      return failure();
    }
    return success(
        op->hasOneUse() &&
        IsWeightQuantizableFunction(*op->getUses().begin(), type.getRank()));
  }

  // Checks if the operand is second operand of `tf.XlaCallModule` op for
  // `stablehlo.convolution` or `stablehlo.dot_general` with fully_quantizable
  // trait.

  auto iota_shape = iota_type.getShape();
  auto reduce_dim = (*dimensions.value_begin<APInt>()).getSExtValue();
  if (reduce_dim < 0) reduce_dim += iota_type.getRank();

  auto index =
      std::optional<SmallVector<int64_t>>(std::in_place, iota_type.getRank());
  while (index.has_value()) {
    StridedArrayView<DenseIntElementsAttr> array_view(
        iota_const_attr, iota_shape, *index, reduce_dim);

    if (!mlir::isa<FloatType>(layerStatsType.getElementType())) {
      return emitOpError("layerStats must have a floating point element type");
    }
    if (layerStatsType.getRank() != 1 || layerStatsType.getDimSize(0) != 2) {
      return emitOpError("layerStats must have shape [2]");
    }
  }
  // Verify axisStats (optional) attribute.
  if (getAxisStats()) {

    if (!mlir::isa<FloatType>(layerStatsType.getElementType())) {
      return emitOpError("layerStats must have a floating point element type");
    }
    if (layerStatsType.getRank() != 1 || layerStatsType.getDimSize(0) != 2) {
      return emitOpError("layerStats must have shape [2]");
    }
  }
  // Verify axisStats (optional) attribute.
  if (getAxisStats()) {

    @Override
    String getFree() {
        "attribute(flavor, 'free')"
    }

    @Override
    String getRelease() {
        "attribute(buildType, 'release')"
    }

    @Override
    String getPaid() {
        "attribute(flavor, 'paid')"
    }