assert.EventuallyEqual(t, getIPs(ing, "ingress", "default"), []string{})

	// Add it back
	svc.Create(updated)
	assert.EventuallyEqual(t, getIPs(ing, "ingress", "default"), []string{"5.6.7.8"})

	// Remove ingress class
	ing.Update(&knetworking.Ingress{
		ObjectMeta: metav1.ObjectMeta{
			Name:      "ingress",
			Namespace: "default",
		},
	})
	assert.EventuallyEqual(t, getIPs(ing, "ingress", "default"), []string{})

// Deprecated: Use NameTable_NameInfo.ProtoReflect.Descriptor instead.
func (*NameTable_NameInfo) Descriptor() ([]byte, []int) {
	return file_dns_proto_nds_proto_rawDescGZIP(), []int{0, 0}
}

func (x *NameTable_NameInfo) GetIps() []string {
	if x != nil {
		return x.Ips
	}
	return nil
}

func (x *NameTable_NameInfo) GetRegistry() string {
	if x != nil {
		return x.Registry
	}
	return ""
}

      value_eq.getLhs() != body.getArgument(0) ||
      value_eq.getRhs() != body.getArgument(2))
    return failure();

  mhlo::CompareOp index_lt = llvm::dyn_cast_or_null<mhlo::CompareOp>(
      index_and.getRhs().getDefiningOp());
  if (!index_lt ||
      index_lt.getComparisonDirection() != mhlo::ComparisonDirection::LT ||
      index_lt.getLhs() != body.getArgument(1) ||
      index_lt.getRhs() != body.getArgument(3))

    if (!dot.getLhs().getType().hasStaticShape() ||
        !dot.getRhs().getType().hasStaticShape())
      return rewriter.notifyMatchFailure(
          dot, "all dot_general operands must be statically shaped");
    if (dot.getLhs().getType().getElementType() !=
            first_dot.getLhs().getType().getElementType() ||
        dot.getRhs().getType().getElementType() !=

    mlir::DenseIntElementsAttr broadcast_dims;

    // Match and capture values/attributes.
    Value lhs = mul_op.getLhs();
    Value rhs = mul_op.getRhs();
    conv_op = lhs.getDefiningOp<mhlo::ConvolutionOp>();
    if (conv_op == nullptr) {
      return failure();
    }
    filter = conv_op.getRhs().getDefiningOp<mhlo::ConstantOp>();
    if (filter == nullptr) {
      return failure();
    }

    Value constant_val = add_op ? add_op.getRhs() : sub_op.getRhs();
    if (!matchPattern(constant_val, m_Constant(&added_value))) return failure();

    // Check the add op is applied to begin.
    mlir::TypedValue<::mlir::TensorType> begin_tensor =
        strided_slice_op.getBegin();
    mlir::TypedValue<::mlir::TensorType> add_source_tensor =
        add_op ? add_op.getLhs() : sub_op.getLhs();
    if (begin_tensor != add_source_tensor) {

    if (!mlir::cast<ShapedType>(conv_op.getRhs().getType()).hasStaticShape()) {
      return false;
    }
    if (!mlir::cast<ShapedType>(conv_op.getLhs().getType()).hasStaticShape() &&
        !mlir::cast<ShapedType>(conv_op.getType()).hasStaticShape()) {
      auto dnums = conv_op.getDimensionNumbers();
      auto lhs_type = mlir::cast<ShapedType>(conv_op.getLhs().getType());

}

template <typename Op, typename ElementType = Type, typename ValType,
          typename Convert>
static Attribute BinaryFolder(Op *op) {
  auto lhs_op = op->getLhs().template getDefiningOp<mhlo::ConstantOp>();
  auto rhs_op = op->getRhs().template getDefiningOp<mhlo::ConstantOp>();
  if (!lhs_op || !lhs_op) return {};

  auto lhs = dyn_cast_or_null<DenseElementsAttr>(lhs_op.getValue());

  return ConvertDot(
      rewriter, dot_op.getLhs(), dot_op.getRhs(), dot_dimension_numbers,
      mlir::cast<ShapedType>(dot_op.getResult().getType()), dot_op.getLoc());
}

Value ConvertDotGeneralOp(PatternRewriter& rewriter, Operation* old_op) {
  auto dot_general_op = cast<mhlo::DotGeneralOp>(old_op);
  return ConvertDot(
      rewriter, dot_general_op.getLhs(), dot_general_op.getRhs(),
      dot_general_op.getDotDimensionNumbers(),

                return block.getPos().compareTo(block1.getPos());
            }
        });

        for (int i = 0; i < blocks.size() - 1; i++) {
            Block b1 = blocks.get(i).getBlock();
            Block b2 = blocks.get(i + 1).getBlock();
            if (b1.getPos().getPos() + b1.getSize() > b2.getPos().getPos()) {