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Preface

Read Part 1 - C++ function decorators here

In this second experiment, I re-imagine the way class member functions can be decorated. In the first article, I set out to achieve a close equivalent of python function decorators without the use of magic MACROS or mocs. Using purely C++ 14 we came up with a design pattern to accept arbitrary function inputs that return a closure function, allowing programmers to aggregate functions together and in compile-time!

C++ Python-like Class Member Decorators

How to write class member decorator functions in modern C++14 or higher

Works 100% on MSVC, Clang, and GNU CC compilers

Skip the tutorial and view the final results


decorated member functor with private class implementation

dynamic member functor re-assignment

The goal

We left off with a demonstration that class member functions could also be decorated but I wasn't satisfied with the syntax. To refresh, we left with something that looked like this:

goto godbolt

// Different prices for different apples
apples groceries1(1.09), groceries2(3.0), groceries3(4.0);
auto get_cost = log_time(output(exception_fail_safe(visit_apples(&apples::calculate_cost))));

auto vec = { 
    get_cost(groceries2, 2, 1.1), 
    get_cost(groceries3, 5, 1.3), 
    get_cost(groceries1, 4, 0) 
};

Which is ugly and inconvenient if we want to pass objects around our system, we would need to have access to these decorators in each file and rewrite our code to use these decorators instead of the object's own methods.

In the first article, I pointed out that python member functions could be reassigned on the fly and decorated which is impossible in vanilla C++. There may be times when I want to log a function in one particular location instead of seeing logs every time the function is called. With dynamic reassignment, I could decorate the function on the fly, invoke it, and set it back to the original implementation afterwards.

If there was only a way these python features could make their way into C++, I'd be a happy guy. I like to have my cake and eat it too, don't you? 🍰

Revisit the class visitor: @classmethod

By the end of the first article, we needed a way for our decorators to expect a class object in order to invoke a class member function. We wrote it to visit apples class objects and it looked like this:

template<typename F>
auto visit_apples(F func) {
    return [func](apples& a, auto... args) {
        return (a.*func)(args...);
    };
}

In python, we have a similar decorator to properly decorate member functions: @classmethod. This decorator specifically tells the interpreter to pass self into the decorator chain, if used, so that the member function can be called correctly- specifically in the event of inherited member functions. Further reading on stackoverflow

We've done something similar earlier, we needed to pass the instance of the object into the decorator chain and with a quick re-write we can make this class visitor, universal.

Simply swap out apples& for auto&:

goto godbolt

////////////////////////////////////
//    visitor function            //
////////////////////////////////////

template<typename F>
constexpr auto classmethod(F func) {
    return [func](auto& a, auto&&... args) {
        return (a.*func)(args...);
    };
}

The member functor: Digesting Lambdas

We need to store a lambda. The C++ compiler does a good job hiding the implementation of lambdas, it's hard to think of them as anything else but magical.

Lambdas are functors: a class object that has an overloaded operator() to behave like a function. The C++ standard already has a function utility header <functional> which provides a wrapper around any functor we throw at it.

Initially we could write

std::function<double(int, double)> f = get_cost;

But then we've not made any room to pass the class object for the classmethod decorator.

We could re-write it a little

std::function<double(apples&, int, double)> f = get_cost;

and further generalize it by rewritting it as a class

template<typename ClassType>
class class_methodfunc {
    std::function<double(ClassType&, int, double)> f;
    // ...
};

We need a way to allow our functor to accept any arbitrary input - just like our initial decorator problem from before. Unlike last time, we need to know the exact type information at compile-time in order to store these decorators. Let's generalize further.

template<typename ClassType, typename RType, typename... Args>
class class_memberfunc {
    std::function<RType(ClassType&, Args...)> f;

    // to accept any functor including lambdas and deeply-nested decorators, we use a single typename
    template<typename F>
    void operator=(const F& rhs) {
        f = std::function<RType(ClassType&, Args...)>(rhs);
    }

    RType operator()(ClassType& self, Args&&... args) {
        return f(self, args...);
    }
};

The member functor: rewriting the class

Let's start by using our new class_memberfunc to rewrite the apples class and provide a private member function that we want to decorate. Remember, we cannot reassign or modify a C++ function once it's written but we can reassign a functor object.

First, let's add an implicit type conversion in our rusty optional_type<> class:

template<typename T>
struct optional_type {
    T value;
    bool OK;
    bool BAD;
    std::string msg;

    // implicitly dissolve into value type T
    operator T() {
        return value;
    }

    optional_type(T t) : value(t) { OK = true; BAD = false; }
    optional_type(bool ok, std::string msg="") : msg(msg) { OK = ok; BAD = !ok; }
};

If we try to decorate member functions that do not return optional values, we will get compile errors.

goto godbolt

class apples {

private:
    // private member function implementation that throws
    double calculate_cost_impl(int count, double weight) {
        if(count <= 0)
            throw std::runtime_error("must have 1 or more apples");
        
        if(weight <= 0)
            throw std::runtime_error("apples must weigh more than 0 ounces");

        return count*weight*cost_per_apple;
    }

    double cost_per_apple;

public:
    // ctor
    apples(double cost_per_apple) : 
        cost_per_apple(cost_per_apple) { 
            // decorate our member function in ctor and store result in functor
            this->calculate_cost = log_time(output(exception_fail_safe(classmethod(&apples::calculate_cost_impl))));
        }

    ~apples() { }

    // define a functor with the same signature as our member function
    class_memberfunc<apples, optional_type<double>, int, double> calculate_cost;
};

We're getting there but we've come full circle with needing to provide the class object when we invoke the function with operator():

    groceries1.calculate_cost(groveries1, 5, 6.1); 

That's not very native at all. And we need to specify the return type and argument list by hand.

The member functor: function traits

Let's inspect the contents of the function signatures that we expect our member functor to take. We want to achieve the following syntax somehow:

    // define a functor with the same signature as our member function
    memberfunc<double(int, double)> calculate_cost;
    
    ...
    
    groceries1.calculate_cost(5, 6.1); // implicit class object used! But how?

First, we need to somehow pull the argument list out of the function sig as well as the return type. We can create a templated structure that stores these types publically so we can query them at compile time:

///////////////////////////////////////////////
//            function traits                //
///////////////////////////////////////////////

template<typename T> 
struct function_traits;  

// traits allows us to inspect type information from our function signature
template<typename R, typename Class, typename... Args> 
struct function_traits<R (Class::*)(Args...)>
{
    typedef R result_type;
    using args_pack = std::tuple<Args...>;
};

template<typename R, typename... Args> 
struct function_traits<R(Args...)>
{
    typedef R result_type;
    using args_pack = std::tuple<Args...>;
};

This is a simple function-trait utlity structure. All we care about is the ability to deduce the return type and argument list from any kind of callable. Now we can write an alias to deduce the correct class_memberfunction signature.

class apples {
    /*
    define our member functor alias 
    use function traits to deduce types
    */
    template<typename Type>
    using memberfunc = class_memberfunc<
      apples, 
      typename function_traits<Type>::result_type, 
      typename function_traits<Type>::args_pack
    >;

With this short-hand we don't need to type out everything explicitly.

    // define a functor with the same signature as our member function
    memberfunc<double(int, double)> calculate_cost;

We can also let the compiler figure out our signature for us. This way we only modify one place in the code and the rest will follow.

    memberfunc<decltype(&apples::calculate_cost_impl)> calculate_cost;

Handy!

The member functor: passing in self

Python implicity passes along the instance object of the class using the special keyword self. Let's pass in the C++ equivalent this in the constructor of our member functor and pass that along to the functor's operator()!

goto godbolt

// ctor
apples(double cost_per_apple) : 
    calculate_cost(this), 
    cost_per_apple(cost_per_apple) { 
        // decorate our member function in ctor
        this->calculate_cost = log_time(output(exception_fail_safe(classmethod(&apples::calculate_cost_impl))));
    }

Now we're getting somewhere!

    groceries1.calculate_cost(5, 6.1);

output is

Bag cost $18.203

> Logged at Sun Aug 18 17:01:32 2019

The member functor: wrapping it up

I'm all about typing less. As I get older, while I appreicate the verbose descriptors of Java functions and classes, carpel tunnel is right around the corner waiting to strike.

Let's hide the ugly alias in an enabler trait class and inherit from it instead

goto godbolt

template<typename Class>
class enable_memberfunc_traits {
    protected:
    /*
    define our member functor alias 
    use function traits to deduce types
    */
    template<typename Type>
    using memberfunc = class_memberfunc<Class, 
    typename function_traits<Type>::result_type, 
    typename function_traits<Type>::args_pack>;
};

class apples : public enable_memberfunc_traits<apples> {
    // ... omitted ...
    
    memberfunc<decltype(&apples::calculate_cost_impl)> calculate_cost;
};

Dynamic re-assignment

We did it! We have a private implementation we wanted to decorate, and it acts on this just like a member function! We wrote a classmethod universal visitor decorator and it's shaping up to be very flexible like Python. We've accomplished every goal for the member functors that we set out to achieve. There is one more tidbit I'd like to accomplish: in the previous article, Python allows us to assign a function to a decorated version of itself e.g.

class Foo:
  def add(self, value):
      self.value = self.value + value

def stars(func):
  def inner(*args, **kwargs):
      print("**********")
      func(*args, **kwargs)
      print("**********")
      
  return inner
    
Foo.add = stars(Foo.add)

The assignment Foo.add = stars(Foo.add) was impossible before but we now have a powerful member functor class. Let's add the ability to convert our member functor back into it's true lambda form by returning the inner f functor object:

template<typename ClassType, typename RType, typename... Args>
class class_memberfunc<ClassType, RType, std::tuple<Args...>> {
    // ... omitted ....

    std::function<RType(ClassType&, Args...)> operator*() {
        return f;
    }
    
    // ...
};

Now, in order to dynamically decorate the private calculate_cost_impl implementation, we must make it public. This may shake some heads and it's worth noting that in Python, everything is public. There is no such thing as a private function or member variable in Python.

Our crafty member functor can point to a class member function and be used as-is even without using the classmethod decorator

goto godbolt

See line 206

   // in apples ctor
   this->calculate_cost = &apples::calculate_cost_impl;

Now we can dynamically decorate the member function. Plus we can assign a function to a decorated version of itself.

Take a look at line 226 - 232

   groceries1.calculate_cost = exception_fail_safe(classmethod(&apples::calculate_cost_impl));

   // use star operator to return inner functor and re-assign 
   groceries1.calculate_cost = log_time(output(*groceries1.calculate_cost));

   std::cout << std::endl;

   groceries1.calculate_cost(5, 3.34);

output is

18.203


Bag cost $18.203

> Logged at Sun Aug 18 18:00:15 2019

End

Thank you for reading