out := *p
	out.Namespace = namespace
	return &out
}

func (p *Params) SetIstioNamespace(namespace string) *Params {
	out := *p
	out.IstioNamespace = namespace
	return &out
}

func (p *Params) SetPod(pod string) *Params {
	out := *p
	out.Pod = pod
	return &out
}

func (p *Params) SetContainer(container string) *Params {
	out := *p
	out.Container = container
	return &out
}

        TensorShapeProto shape_proto;
        context->ShapeHandleToProto(handle, &shape_proto);
        if (!shape_proto.unknown_rank()) {
          NodeDef const_def;
          const_def.set_op("Const");
          Node* var_node;
          TF_RETURN_IF_ERROR(n->input_node(0, &var_node));
          const_def.set_name(
              graph->NewName(absl::StrCat("var_shape_", var_node->name())));

		got := ldr.MakeSymbolUpdater(syms.GOTPLT)
		rel := ldr.MakeSymbolUpdater(syms.RelPLT)
		if plt.Size() == 0 {
			panic("plt is not set up")
		}

		// .got entry
		ldr.SetGot(s, int32(got.Size()))

		// In theory, all GOT should point to the first PLT entry,
		// Linux/ARM's dynamic linker will do that for us, but FreeBSD/ARM's
		// dynamic linker won't, so we'd better do it ourselves.

          if (TF::TensorListSetItemOp set_op =
                  llvm::dyn_cast<TF::TensorListSetItemOp>(use.getOwner())) {
            element_shape = rewriter.create<TF::ShapeOp>(
                op.getLoc(),
                tensorflow::GetTypeFromTFTensorShape({-1}, shape_dtype),
                set_op.getItem());
            element_shape_acquired = true;

  if (!name.empty())
    node_def->set_name(std::string(ParseTensorName(name.str()).node()));
  else
    node_def->set_name(
        std::string(op_to_name_.GetUniqueName(func.getName().str())));

  node_def->set_op(FunctionLibraryDefinition::kArgOp);

  mlir::TensorType arg_type = mlir::cast<mlir::TensorType>(arg.getType());
  if (auto resource_type =
          mlir::dyn_cast<mlir::TF::ResourceType>(arg_type.getElementType())) {

  if (!name.empty())
    node_def->set_name(std::string(ParseTensorName(name.str()).node()));
  else
    node_def->set_name(
        std::string(op_to_name_.GetUniqueName(func.getName().str())));

  node_def->set_op(FunctionLibraryDefinition::kArgOp);

  mlir::TensorType arg_type = mlir::cast<mlir::TensorType>(arg.getType());
  if (auto resource_type =
          mlir::dyn_cast<mlir::TF::ResourceType>(arg_type.getElementType())) {

	ASBBL
	ASBBQ
	ASBBW
	ASCASB
	ASCASL
	ASCASQ
	ASCASW
	ASETCC
	ASETCS
	ASETEQ
	ASETGE
	ASETGT
	ASETHI
	ASETLE
	ASETLS
	ASETLT
	ASETMI
	ASETNE
	ASETOC
	ASETOS
	ASETPC
	ASETPL
	ASETPS
	ASFENCE
	ASGDT
	ASHA1MSG1
	ASHA1MSG2
	ASHA1NEXTE
	ASHA1RNDS4
	ASHA256MSG1
	ASHA256MSG2
	ASHA256RNDS2
	ASHLB
	ASHLL
	ASHLQ
	ASHLW

  props.set_name(std::move(name));
  return props;
}

// Matches a node with op `op`.
impl::NodeMatcherProperties Op(string op) {
  impl::NodeMatcherProperties props;
  props.set_op(std::move(op));
  return props;
}

// Matches a node with assigned device `assigned_device`.
impl::NodeMatcherProperties AssignedDevice(string assigned_device) {
  impl::NodeMatcherProperties props;

                        performanceResults.setChannel(testExecutions.getString(13));
                        performanceResults.setHost(testExecutions.getString(14));
                        performanceResults.setCleanTasks(ResultsStoreHelper.toList(testExecutions.getObject(15)));

  return flib_def;
}

Node* MakeCall(Graph* graph, const string& callee_name, const string& node_name,
               Status* status) {
  NodeDef call_node;
  call_node.set_name(node_name);
  call_node.set_op(callee_name);
  return graph->AddNode(call_node, status);
}

TEST(ResourceOperationSafetyAnalysisTest, CallRead) {
  Scope root = Scope::NewRootScope().ExitOnError();

  FunctionDefLibrary flib_def =