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;

  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())) {

  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 =

    const absl::flat_hash_map<absl::string_view, int>& histogram) {
  for (const auto& pair : histogram) {
    XlaAutoClusteringSummary::OpAndCount* new_entry = result->Add();
    new_entry->set_op(std::string(pair.first));
    new_entry->set_count(pair.second);
  }

  absl::c_sort(*result, [](const XlaAutoClusteringSummary::OpAndCount& a,
                           const XlaAutoClusteringSummary::OpAndCount& b) {

	}
	StructType	struct {
		Fields int
	}
	PtrType	struct {
		Elem int
	}
	SliceType	struct {
		Elem int
	}
	ArrayType	struct {
		Elem, Len int
	}

	Stktop	struct {
		Stackguard, Stackbase, Gobuf int
	}
	Gobuf	struct {
		Sp, Pc, G int
	}
	G	struct {
		Stackbase, Sched, Status, Alllink int
	}
}

    TF_ASSIGN_OR_RETURN(auto tf_name,
                        GetTensorFlowOpName(inst->getName().getStringRef()));
    op_name.append(tf_name);
  }

  node_def->set_name(name.str());
  node_def->set_op(std::string(op_name.str()));

  // Update NodeDef constructed out of an MLIR Case/If/While op to map it to
  // either TensorFlow StatelessX or X op depending on the additional attribute.

    }

    class MyAspect implements ModelSchemaAspect {}

    @Managed
    static abstract class MyTypeOfAspect {
        abstract String getProp()

        abstract void setProp(String prop)

        String getCalculatedProp() {
            return "calc"
        }
    }

    def "aspects can be extracted"() {
        def aspect = new MyAspect()

    response.use {
      assertEquals(200, response.code)
      assertEquals(Protocol.HTTP_2, response.protocol)
    }

    // Only logs to the test logger above
    // Will fail if "adb shell setprop log.tag.okhttp.Http2 DEBUG" is called
    assertEquals(setOf(OkHttpTest::class.java.name), testHandler.calls.keys)
  }

  fun testCachedRequest() {
    enableTls()

	}
	StructType struct {
		Fields int
	}
	PtrType struct {
		Elem int
	}
	SliceType struct {
		Elem int
	}
	ArrayType struct {
		Elem, Len int
	}

	Stktop struct {
		Stackguard, Stackbase, Gobuf int
	}
	Gobuf struct {
		Sp, Pc, G int
	}
	G struct {
		Stackbase, Sched, Status, Alllink int
	}
}