MPL11

Enjoy template metaprogramming

Disclaimers

This is not an official Boost library. It might be proposed as a successor for the current Boost.MPL in the future, but there is no guarantee. Also, I am currently working on Boost.Hana, a library which tries to merge MPL11 and Boost.Fusion into a single library. If that works out, it would probably replace the MPL11.

The library is unstable at the moment; do not use for production.

This was initially supposed to be a simple C++11 reimplementation of the Boost.MPL. However, for reasons documented in the rationales, the library was redesigned and the name does not fit so well anymore.

Installation

The MPL11 is a header only library. To use it in your own project, just add the include directory to your compiler's header search path and you are done.

The library has no dependencies - not even the standard library. However, it requires a C++14-able compiler. The test suite passes under the following compilers:

clang version 3.4
clang version 3.5.0
GCC 4.9.0 20140302 (experimental)
Apple LLVM version 5.1 (clang-503.0.38)

To compile the unit tests, you will also need CMake. Once you have it, you can go to the root of the project and do:

$ mkdir build
$ cd build
$ cmake ..
$ make tests    # Compiles the unit tests.

Minified version

A minified version of the library is also provided. To use it, simply include the boost/mpl11.min.hpp header, which contains the whole library. Note that the minified header must not be used in conjunction with other headers from the library.

Introduction

The MPL11 is a C++11 library providing composable, high-level primitives for solving complex template metaprogramming problems. The library is built around a few core concepts; the aim of this tutorial is to present them, while the handful of tools provided by the library are left to the reference documentation.

This tutorial assumes a good understanding of template metaprogramming and basic functional programming concepts. Also, a good understanding of the Boost.MPL library will be helpful. However, the MPL11 diverges from the Boost.MPL in many ways, and one should be careful not to transfer knowledge between both libraries without checking the documentation.

Metafunctions

Informally, a metafunction is a template representing a compile-time function taking types as arguments and returning a type as a result. Readers coming from the MPL should be careful here, since the formal definition differs from that of the MPL.

Formally, let f be a C++ template with an arbitrary number of type template parameters, and type template parameters only. Then, f is a metafunction if and only if there exists types x1, ..., xn such that f<x1, ..., xn>::type is a valid type name. In this context,

x1, ..., xn are the arguments of f.
Forming a specialization f<x1, ..., xn> is called suspending f with x1, ..., xn.
A specialization f<x1, ..., xn> is called a thunk or a suspension.
The nested ::type of a thunk is called the result of the thunk. If the thunk is of the form f<x1, ..., xn>, we can also say it is the result of f with x1, ..., xn.
Fetching the result of a thunk is called evaluating the thunk. If the thunk is of the form f<x1, ..., xn>, we can also say invoking f with x1, ..., xn or applying f to x1, ..., xn.
The arity of a metafunction is the number of arguments it can be invoked with. A metafunction with arity n is said to be a n-ary metafunction.
A metafunction that can be invoked with any number of arguments is said to be variadic. By definition, a variadic metafunction is n-ary for any non-negative integer n.

It is important to note the difference between this definition and the one given by the Boost.MPL. With this definition, a metafunction can never be a normal C++ type; it must always be a template. Hence, Boost.MPL nullary metafunctions implemented as non-template classes are not considered as metafunctions. Here are some examples:

// A unary metafunction.
template <typename x>
struct unary { struct type; };

// A binary metafunction.
template <typename x, typename y>
struct binary { struct type; };

// A variadic metafunction.
template <typename ...>
struct variadic { struct type; };

// A nullary metafunction. It can only be invoked with
// 0 arguments, and it is therefore 0-ary (nullary).
template <typename ...> struct nullary;
template <> struct nullary<> { struct type; };

// Not a metafunction with the MPL11; it is not a template!
struct MPL_nullary { struct type; };

// Not a metafunction; it never has a result (a nested ::type)!
template <typename ...>
struct no_result { };

Boxed types

Informally, a boxed type is a type that has yet to be evaluated. Hence, before knowing the actual "value" of a boxed type, one must evaluate it, a process which is called unboxing.

Formally, for an arbitrary C++ type T, a boxed T is an arbitrary C++ type B such that B::type is T. In this context, B is called a box (of T) and fetching the nested ::type inside of B is called unboxing T.

struct T;
struct B { using type = T; }; // a boxed T (equivalently, a box of T)

B::type; // unboxing T

Conversely, wrapping an arbitrary type T in a type B such that B::type is T is called boxing T (into B or with B). It is important to note that B may depend on T, without which boxing would be of limited interest.

struct T;

template <typename t>
struct B { using type = t; };

B<T>; // boxing T into B

Note that types may be boxed an arbitrary number of times. This is probably not useful, but the definition is general enough to allow it.

B<B<T>>; // this is a "box of B<T>", aka a "box of (box of T)"

There exists a special boxed type named undefined (sometimes called bottom) which has the characteristic of causing a compile-time error when it is unboxed, even in SFINAE-able contexts. undefined can be seen as an invalid value, or the result of a computation that failed.

Here are some examples to illustrate the previous definition:

// This template takes an arbitrary type T and boxes it.
template <typename T>
struct box {
    using type = T;
};

// These are not boxed.
class x;
struct y { char foo; };
char;
box<char>::type;

// These are boxed types.
box<char>;                          // a boxed `char`
box<box<char>>;                     // a boxed `box<char>`
box<box<char>>::type;               // a boxed `char`
struct x { using type = char; };    // a boxed `char`
struct y { struct type; };          // a boxed `y::type`
struct z { using type = z; };       // self-referential? why not!

It is important to note that there are many different representations for a boxed T. This makes equivalence between boxed types a bit tricky. Consider the following:

struct T;
struct B1 { using type = T; }; // a boxed T
struct B2 { using type = T; }; // a boxed T too

Certainly, B1 and B2 are equivalent w.r.t. to the type they box since they both box the same type T. However, B1 and B2 are not equivalent w.r.t. the C++ type system because they are different types. Now, this is important because it tells us that we can't use pattern matching to define a metafunction taking a boxed type as an argument. Indeed, since the representation of a boxed type is not unique, we can't know what form will have our argument in advance, and therefore we can't pattern match. Consider the following:

// B should be a boxed type.
template <typename B>
struct f;

// This should handle boxed chars, but we don't know
// what a boxed char may look like!
template <>
struct f<????> {
    // ...
};

Now, we might be tempted to do the following:

// box is the template that we defined earlier. It takes an
// arbitrary type and boxes it.
template <>
struct f<box<char>> {
    // ...
};

But then...

template <typename T>
struct bad {
    using type = T;
};

// works, as expected
f<box<char>>::type;

// does not work, even though bad<char> is clearly a boxed char
f<bad<char>>::type;

Instead, we would have to do something more convoluted like:

template <typename T>
struct f_impl;

template <>
struct f_impl<char> {
    using type = ...;
};

template <typename B>
struct f
    : f_impl<typename B::type>
{ };

f<box<char>>::type; // works
f<bad<char>>::type; // works too

It is interesting to note that boxed types and thunks share a lot. In fact, a thunk is nothing but a boxed type that was formed by suspending a metafunction. Hence, whenever a boxed type is expected, a thunk may be used instead.

Laziness

This section introduces the notion of laziness in the context of template metaprograms and explains how it relates to the previous notions. This is by no means a rigorous treatment of the broader subject of evaluation strategies, and knowledge of those concepts is expected.

Informally, laziness is a property of a metafunction meaning that the metafunction performs the least amount of work needed to give its result. It requires the metafunction to only evaluate the expressions that are actually needed in its body, and to evaluate them no more than once.

The second point is called memoization and it is handled behind the scenes by the compiler. While the C++ standard does not require compilers to memoize template instantiations, this is always the case in practice. Consider:

template <typename x>
struct f {
  using type = x;
};

f<int>::type; // instantiate f<int>
f<int>::type; // f<int> is already instantiated, nothing is done.

The first point, however, must be handled manually when writing template metaprograms.

TODO Finish this section. Specifically, explain the following:

What is a lazy metafunction (mf classes follow from that)

The inverse of a lazy metafunction is a strict metafunction (broadly)

Lazy metafunctions must take boxed types, otherwise they would always evaluate their arguments whether they are needed or not. This is equivalent to call-by-name.

Strict metafunctions can take unboxed arguments, because they always evaluate their arguments anyways. However, strict metafunctions can still take boxed arguments and unbox them unconditionally; this is just a matter of convention.

Metafunctions take boxed arguments by default in the MPL11.

Metafunctions are lazy by default (i.e. whenever possible) in the MPL11.

Strict metafunctions usually still take boxed arguments for consistency.

Some metafunctions don't follow the convention, and in this case this behavior is documented.

Metafunctions that don't follow the convention do it because it's necessary or because it's much easier to do such or such when breaking the convention.

Why are lazy metafunctions useful? This could use the drop metafunction of the old introduction. Laziness often leads to increased expressiveness; for example it becomes easy to define new control structures and infinite data structures.

Consider keeping the optional section on non-strictness.

At this point, it is probably helpful to clarify that returning from a lazy metafunction is no different than returning from a strict metafunction. For example, consider the following lazy metafunction implementing an if statement:

template <typename Condition, typename Then, typename Else>
struct if_ {
    using Branch = std::conditional<Condition::type::value, Then, Else>::type;
    using type = typename Branch::type;
};

Since if_ is lazy, its arguments are all boxed types. Here, we unbox Branch and return that instead of returning Branch itself. This way, if_<Condition, Then, Else> is a thunk and we can pass it to other lazy metafunctions as-is:

// A lazy metafunction.
template <typename x>
struct f;

using result = f<   if_<Condition, Then, Else>  >::type;

If we had defined if_ as follows

template <typename Condition, typename Then, typename Else>
struct if_ {
    using Branch = std::conditional<Condition::type::value, Then, Else>::type;
    using type = Branch; // Note that we don't unbox Branch here
};

then if_ would return a thunk and we would need to do the following instead:

using result = f<   if_<Condition, Then, Else>::type    >::type;
                                              ^^^^^^

Lifted metafunctions

Informally, a lifted metafunction is a representation of a metafunction that allows it to be manipulated as a first class citizen in template metaprograms. Formally, an arbitrary C++ type f is a lifted metafunction if and only if f::apply is a metafunction. In general, lifted metafunctions inherit the terminology of metafunctions, and the characteristics of a lifted metafunction follow from that of its nested apply metafunction. For example, the arity of a lifted metafunction f is that of f::apply.

The definition of a lifted metafunction is almost the same as the definition of a metafunction class in the Boost.MPL. The only difference is the difference between metafunctions in both libraries.

Here are some examples of lifted metafunctions:

// A unary lifted metafunction.
struct unary {
    template <typename x>
    struct apply { struct type; };
};

// A binary lifted metafunction.
struct binary {
    template <typename x, typename y>
    struct apply { struct type; };
};

// A variadic lifted metafunction.
struct variadic {
    template <typename ...>
    struct variadic { struct type; };
};

// A nullary lifted metafunction.
struct nullary {
    template <typename ...> struct apply;
};
template <> struct nullary::apply<> { struct type; };

// Not a lifted metafunction with the MPL11; its nested apply
// is not a metafunction!
struct MPL_nullary {
    struct apply { struct type; };
};

// Not a lifted metafunction; its nested apply never has a result!
struct no_result {
    template <typename ...>
    struct apply { };
};

Any metafunction can be lifted, and the MPL11 defines a template to do just that.

template <template <typename ...> class f>
struct lift {
    template <typename ...xs>
    struct apply
        : f<xs...>
    { };
};

lift is essentially the same as quote in the Boost.MPL. The name lift was preferred because of its relation to a lift in category theory. For completeness, lift is actually an equivalence of categories between the category where objects are C++ types and morphisms are templates to the category where objects are C++ types and morphisms are structs with a nested apply template.

Datatypes and data constructors

At compile-time, a type becomes a value. A legitimate question would then be: what is the type of that value? In the MPL11, datatypes play that role. Closely related are data constructors, which are a way of creating values of a given datatype. For example, let's create a simple compile-time list:

// A "tag" representing the datatype.
struct List;

// The list constructor. It represents a value of type List that
// contains the provided elements.
template <typename ...Elements>
struct list { using mpl_datatype = List; };

// The cons constructor. It represents a value of type List
// with the provided head and tail.
template <typename Head, typename Tail>
struct cons { using mpl_datatype = List; };

// The nil constructor. It represents an empty List.
struct nil { using mpl_datatype = List; };

Data constructors must provide a nested ::mpl_datatype alias representing their datatype. One can then use the datatype metafunction to retrieve it:

datatype<nil>::type; // == List

It is also possible to specialize datatype instead of providing a nested mpl_datatype alias. So this definition of cons is equally valid (and the other constructors could be defined analogously):

template <typename Head, typename Tail>
struct cons; // no nested mpl_datatype

namespace boost { namespace mpl11 {
    template <typename Head, typename Tail>
    struct datatype<cons<Head, Tail>> {
        using type = List;
    };
}}

Being able to do this is paramount when adapting code over which we don't have the control, but for simplicity we'll stick with the nested mpl_datatype whenever possible. When unspecialized, datatype<T> simply returns T::mpl_datatype if that expression is a valid type name, and Foreign otherwise. Hence, Foreign is the default datatype of everything.

Note that datatype is a strict metafunction and that it does not obey the convention of taking boxed arguments. Breaking the convention is necessary to allow user-defined specializations.

Boxed data constructors

While it is not mandatory, it is often a good idea to box data constructors since it makes them usable as-is in lazy metafunctions. Let's rewrite the previous data constructors that way:

template <typename ...Elements>
struct list_impl {
    using mpl_datatype = List;
};

template <typename Head, typename Tail>
struct cons_impl {
    using mpl_datatype = List;
};

struct nil_impl { using mpl_datatype = List; };


template <typename ...Elements>
struct list {
    using type = list_impl<Elements...>;
};

template <typename Head, typename Tail>
struct cons {
    using type = cons_impl<Head, Tail>;
};

struct nil {
    using type = nil_impl;
};

The downside is that we end up with twice the amount of code, half of which is complete boilerplate. Also, this approach causes twice as many templates to be instantiated each time we unbox a data constructor, which can hurt compile-time performance. Fortunately, we can use self-referential boxing to make this better.

template <typename ...Elements>
struct list {
    using type = list;
    using mpl_datatype = List;
};

template <typename Head, typename Tail>
struct cons {
    using type = cons;
    using mpl_datatype = List;
};

struct nil {
    using type = nil;
    using mpl_datatype = List;
};

That way, only one additional line of code is required per data constructor and we only instantiate one template when we unbox it. Indeed, cons<...>::type is just cons<...>, which is already instantiated.

You might wonder why I have even bothered with the inferior solution using cons_impl and friends in the first place, since the self-referential solution is so obvious. This was to highlight the fact that boxed data constructors do not need to be self-referential; it is merely a convenient implementation trick. This is a subtle difference between the MPL11 and the mpllibs library collection, which I wanted to point out.

Laziness in data constructors

There is something rather important that we have left undefined when we created the list and cons data constructors: what do their arguments look like?

template <typename ...Elements>
struct list;

template <typename Head, typename Tail>
struct cons;

There are two possible answers here, and both are valid. In the end, this is mainly a design choice. The first option is to require the arguments to be normal (non-boxed) types. We could then use the constructors like so:

using x = list<int, char, float>;
using y = cons<int, list<char, float>>;
using z = cons<int, cons<char, cons<float, nil>>>;

The second option is to require boxed arguments. We could then use the constructors like so:

using x = list<box<int>, box<char>, box<float>>;
using y = cons<box<int>, list<box<char>, box<float>>>;
using z = cons<box<int>, cons<box<char>, cons<box<float>, nil>>>;

Note that we do not need to box the second arguments to cons ourselves, because we have already made list, cons and nil boxed.

This is clearly less natural than the first solution. Still, for reasons that will soon become clearer, the MPL11 List constructors use the second solution, and so will we for the rest of this tutorial. To reduce the syntactic noise, we will define aliases that will make our life easier:

template <typename ...Elements>
using list_ = list<box<Elements>...>;

template <typename Head, typename Tail>
using cons_ = cons<box<Head>, box<Tail>>;

Note that we would not need to box the second argument of cons_ because we expect it to be a List, and all List constructors are already boxed. So box<Tail> is really redundant, but we still do it here for the sake of clarity.

We will say that a data constructor taking unboxed arguments is strict, and that a data constructor taking boxed arguments is lazy. An interesting observation is that some (but not all) constructors are also metafunctions. Specifically, boxed constructors taking type template parameters are metafunctions. Therefore, strict boxed constructors correspond to strict metafunctions, and lazy boxed constructors correspond to lazy metafunctions!

Conversions

The MPL11 provides a way to convert values from one datatype to the other. The usefulness of this is clearest when implementing numeric datatypes, but we'll stick with List because we already have it. Let's suppose we want to convert values from a List to an std::tuple and vice-versa. First, we will need to define a datatype of which std::tuple can be a data constructor.

struct StdTuple;

namespace boost { namespace mpl11 {
    template <typename ...T>
    struct datatype<std::tuple<T...>> {
        using type = StdTuple;
    };
}}

We can now consider std::tuple as a data constructor for the StdTuple datatype. Note that unlike the arguments to list, the arguments to std::tuple must be unboxed; this will be important for what follows. The next step is to implement the conversion itself. This is done by specializing the cast lifted metafunction for the involved datatypes.

namespace boost { namespace mpl11 {
    template <>
    struct cast</*from*/ List, /*to*/ StdTuple> {
        template <typename>
        struct apply;

        template <typename ...Elements>
        struct apply<list<Elements...>> {
            using type = std::tuple<typename Elements::type...>;
        };

        template <>
        struct apply<nil> {
            using type = std::tuple<>;
        };

        template <typename Head, typename Tail>
        struct apply<cons<Head, Tail>> {
            using type = /* omitted for simplicity */;
        };
    };

    template <>
    struct cast</*from*/ StdTuple, /*to*/ List> {
        template <typename>
        struct apply;

        template <typename ...Elements>
        struct apply<std::tuple<Elements...>> {
            using type = list_<Elements...>;
        };
    };
}}

There are a few things to note here. First, it is very important to provide a conversion for all the data constructors of a datatype. If, for instance, we had forgotten to provide apply<nil>, we could only convert from the list and cons constructors. Second, we had to unbox the elements of the list when passing them to std::tuple because std::tuple expects unboxed types. Similarly, we had to box the elements of the std::tuple when passing them to list. Third, the cast lifted metafunction is strict and it does not follow the convention of taking boxed arguments, which makes it possible to pattern match data constructors. Here is how we could now convert between the two datatypes:

using my_list = list_<int, char, float>;
using my_tuple = std::tuple<int, char, float>;

cast<List, StdTuple>::apply<my_list>::type; // == my_tuple
cast<StdTuple, List>::apply<my_tuple>::type; // == my_list

Also note that casting from a datatype T to itself is a noop, so you don't have to worry about that trivial case. The library also defines a handy cast_to lifted metafunction that reduces the syntactic noise of cast:

cast_to<StdTuple>::apply<my_list>::type; // == my_tuple
cast_to<List>::apply<my_tuple>::type; // == my_list

cast_to simply deduces the datatype to cast from by using that of its argument and then forwards to cast. cast_to is strict and does not take boxed arguments.

TODO: Give more details on the Foreign datatype.

Methods

So far, we have created the List datatype and a couple of constructors to create "values" of that type, but we still don't have a way to manipulate those values in a useful way. Let's define a head metafunction that will return the first element of a List. We will stick to the convention of taking boxed arguments.

template <typename List>
struct head_impl;

template <typename Head, typename ...Tail>
struct head_impl<list<Head, Tail...>>
    : Head
{ };

template <typename Head, typename Tail>
struct head_impl<cons<Head, Tail>>
    : Head
{ };

// head_impl<nil> is not defined since that's an error.

template <typename List>
struct head
    : head_impl<typename List::type>
{ };

First, we need to add a level of indirection (head_impl) because head receives boxed arguments and we need to pattern match the constructors. Second, note that head is a strict metafunction because its argument is always evaluated. Third, we inherit from Head in head_impl because the List constructors are lazy and hence Head is boxed.

It is now possible to see why it was useful to make the List constructors lazy. Consider the following situation:

using refs = list<
    std::add_lvalue_reference<int>,
    std::add_lvalue_reference<void>
>;

head<refs>::type; // == int&

Since we can't form a reference to void, we will trigger a compile-time error if we evaluate the std::add_lvalue_reference<void> thunk. However, since we only ever use the value of the first element in the list, it would be nice if we could only evaluate that element, right? Making list a lazy constructor makes that possible. If, instead, we had decided to make list strict, we would need to write:

using refs = list<
    std::add_lvalue_reference<int>::type,
    std::add_lvalue_reference<void>::type
>;

which does not compile. The same reasoning is valid if the contents of the list were the results of complicated computations. By making the constructor lazy, we would only need to evaluate those computation whose result is actually used. In the end, the reasons for writing lazy data constructors are similar to the reasons for writing lazy metafunctions.

The head metafunction we have so far is useful, but consider the following datatype and lazy boxed constructor:

struct Vector;

template <typename ...Elements>
struct vector {
    struct type {
        using mpl_datatype = Vector;
    };
};

template <typename Head, typename ...Tail>
struct vector<Head, Tail...> {
    struct type {
        using head = Head;
        using mpl_datatype = Vector;
    };
};

Since Vector is really some kind of List, it is only reasonable to expect that we can invoke head on a Vector just like we do on a List. But how would we go about implementing head for Vector? Assuming we can't modify the implementation of Vector, the only way we have right now is to use partial specialization of head_impl on Vector's constructor. Unfortunately, that constructor is vector<...>::type, not vector<...>. Since we can't partially specialize on a dependent type, we're out of luck. To bypass this limitation, we will refine head so it uses the datatype of its argument.

template <typename Datatype>
struct head_impl;

template <typename List>
struct head
    : head_impl<typename datatype<typename List::type>::type>::
      template apply<typename List::type>
{ };

We now consider head_impl as a lifted metafunction parameterized over the datatype of its argument. Implementing head for List and Vector is now a breeze.

template <>
struct head_impl<List> {
    template <typename> struct apply;

    template <typename Head, typename ...Tail>
    struct apply<list<Head, Tail...>>
        : Head
    { };

    template <typename Head, typename Tail>
    struct apply<cons<Head, Tail>>
        : Head
    { };
};

template <>
struct head_impl<Vector> {
    template <typename v>
    struct apply
        : v::head
    { };
};

It is sometimes useful to exert a finer grained control over template specializations than what we currently have. A common idiom is for the primary template to provide an additional dummy parameter which can be SFINAE'd upon in partial specializations:

template <typename T, typename Enable = void>
struct trait;

template <typename T>
struct trait<T, std::enable_if_t<std::is_trivial<T>::value>> {
    // ...
};

This enables the specialization to depend on an arbitrary compile-time boolean expression (in fact on the syntactic validity of an arbitrary expression). Note that all partial specializations using the enabler must have mutually exclusive conditions or the specialization will be ambiguous; this can be tricky at times. A variant of this trick is to use a default type of true_ instead of void for the dummy template parameter. That makes it possible to leave the std::enable_if_t part for most use cases:

template <typename T, typename Enable = true_>
struct trait;

template <typename T>
struct trait<T, bool_<std::is_trivial<T>::value>> {
    // ...
};

Note that we used bool_<...> instead of std::is_trivial<T>::type because the latter is std::true_type, which is not necessarily the same as true_.

Also, we don't use a straight bool for the enabler because partial specializations cannot have dependent non-type template arguments.

Since this functionality can really be useful, it might be a good idea to support it in the head_impl lifted metafunction. Fortunately, that only requires changing the head_impl forward declaration to:

template <typename Datatype, typename = true_>
struct head_impl;

TODO: Provide a use case where this is useful.

In this section, we went through the process of designing a simple yet powerful way of dispatching metafunctions. The subset of metafunctions using this dispatching technique are called methods in the MPL11.

TODO: Tackle binary operators and mixed-datatype dispatch.

Typeclasses

Typeclasses come from the observation that some methods are naturally related to each other. For example, take the head, tail and is_empty methods. When implementing any of these three methods, it is probable that the other two should also be implemented. Hence, it would be logical to group them in some way; that is the job of typeclasses. However, typeclasses are much more than mere method bundles. They provide a clean way of specifying and extending the interface of a datatype through a process called typeclass instantiation.

Let's make a typeclass out of the head, tail and is_empty methods. Datatypes supporting all three methods look somewhat like Lists; hence we will call the typeclass Iterable. We start by grouping the *_impl lifted metafunctions of the methods together under the Iterable banner. In the following code snippets, the tail and is_empty methods will be omitted when illustrating head suffices.

struct Iterable {
    template <typename Datatype, typename = true_>
    struct head_impl;

    // ...
};

template <typename Iter>
struct head
    : Iterable::head_impl<typename datatype<typename Iter::type>::type>::
      template apply<typename Iter::type>
{ };

// ...

To implement the methods for List, we now have to write:

template <>
struct Iterable::head_impl<List> {
    template <typename the_list>
    struct apply {
        // ...
    };
};

Soon enough, we notice that we can regroup the datatype parametrization on Iterable instead of leaving it on each nested lifted metafunction.

template <typename Datatype, typename = true_>
struct Iterable {
    struct head_impl;

    // ...
};

template <typename Iter>
struct head
    : Iterable<typename datatype<typename Iter::type>::type>::
      head_impl::template apply<typename Iter::type>
{ };

// ...

The next logical step is to prune the superfluous indirection through the *_impl lifted metafunctions and to simply make them metafunctions.

template <typename Datatype, typename = true_>
struct Iterable {
    template <typename Iter>
    struct head_impl;

    // ...
};

template <typename Iter>
struct head
    : Iterable<typename datatype<typename Iter::type>::type>::
      template head_impl<typename Iter::type>
{ };

// ...

Since it might be useful to query whether a datatype supports the operations of Iterable, we would like to have a boolean metafunction that does just that. Fortunately, we can use the Iterable for this task with a small modification.

template <typename Datatype, typename = true_>
struct Iterable : false_ {
    // ...
};

By default, Iterable is therefore also a boolean metafunction returning false, meaning that arbitrary datatypes don't implement the head, tail and is_empty metafunctions. In its current form, the Iterable template is called a typeclass, and metafunctions like head following this dispatching pattern through a typeclass are called typeclass methods. In order to implement head and friends, one would now write

template <>
struct Iterable<List> : true_ {
    template <typename the_list>
    struct head_impl {
        // ...
    };

    // ...
};

static_assert(Iterable<List>{}, "List is an Iterable!");

The three methods Iterable contains so far are very basic; for any given datatype, it is not possible to provide a suitable default implementation. However, there are other metafunctions that can be implemented in terms of these three basic blocks. For example, consider the last metafunction that returns the last element of an Iterable. A possible implementation would be:

template <typename iter>
struct last
    : if_<is_empty<tail<iter>>,
        head<iter>,
        last<tail<iter>>
    >
{ };

While we could provide this metafunction as-is, some datatypes might be able to provide a more efficient implementation. Therefore, we would like to make it a method, but one that can be defaulted to the above.

Note that method dispatching incurs some compile-time overhead; hence there is a tradeoff between using (typeclass) methods and regular metafunctions. The rule of thumb is that if a method is likely to never be specialized (i.e. the default implementation is almost always the best), then it should probably be a regular metafunction.

It turns out that providing a default implementation can be done easily using typeclasses and a little convention. First, we make last a normal typeclass method.

template <typename Iter>
struct last
    : Iterable<typename datatype<typename Iter::type>::type>::
      template last_impl<typename Iter::type>
{ };

Then, we require specializations of Iterable to inherit some special type as follows:

template <>
struct Iterable<List> : instantiate<Iterable>::with<List> {
    // ...
};

Here, instantiate<...>::with<...> is true_ by default. Hence, it only takes care of making Iterable a true-valued boolean metafunction, which we did by ourselves previously. However, instantiate may be specialized by typeclass designers in such a way that the member template with also contains default methods. In our case, we would provide a last_impl metafunction corresponding to the default implementation of last shown above. This way, if a datatype does not implement the last method, our default implementation will be used.

namespace boost { namespace mpl11 {
    template <>
    struct instantiate<Iterable> {
        template <typename Datatype>
        struct with : true_ {
            template <typename Iter>
            struct last_impl {
                // default implementation
            };
        };
    };
}}

This technique provides a lot more flexibility. One notable improvement is the ability to add new methods to Iterable without breaking existing client code, provided the new methods have a default implementation. Hence, in the MPL11, all typeclass specializations are required to use this technique, regardless of whether they actually need defaulted methods.

You might wonder why we use instantiate<Typeclass>::with<Datatypes...> instead of just using instantiate<Typeclass>. This is because some typeclasses need to know the datatype(s) they operate on to provide meaningful defaults. Also, we don't use instantiate<Typeclass, Datatypes...> because that would make defaulted typeclass parameters hard to handle.

A typeclass specialization using the technique we just saw is called a typeclass instantiation. When a typeclass instantiation exists for a typeclass T and a datatype D, we say that D is an instance of T. Equivalently, we say that D instantiates T, or sometimes that D is a T. The set of definitions that must be provided for a typeclass to be complete is called the minimal complete definition of the typeclass. The minimal complete definition is typically the set of methods without a default implementation, but it must be documented for each typeclass.

The term typeclass instantiation is borrowed from Haskell and should not be mistaken with template instantiation even though they share similarities, especially in the MPL11.

TODO

Tackle mixed-datatype typeclass-method dispatch

Rewrite rules

TODO

Acknowledgements

The development of this library drew inspiration from a couple of projects with different levels of involvement in template metaprogramming. I would like to thank the people involved in these projects for their work, without which this library wouldn't be the same. The most notable sources of inspiration and enlightenment were:

The Haskell programming language
The original Boost.MPL
The mpllibs library

Rationales

This section contains rationales for some design decisions of the library. In its early development, the library was rewritten several times because fundamental aspects of it needed to be changed. Hence, only the rationales pertaining to the current design are kept here. If you have a question about a design decision that is not explained here, please contact the creator of the library (Louis Dionne).

Why are iterators not used in the library?

The following points led to their removal:

Lazy views were hard to implement because they required creating new iterators, which is a pain. Using a different abstraction for sequences made it much easier.
Iterators being hard to implement and non-composable is a known problem, which is addressed e.g. by the Boost.Range library or in this paper by Andrei Alexandrescu.
There is no performance gain to be achieved by using iterators. In fact, it often makes straightforward implementations more complicated, which can hide possible optimizations.
Implementing infinite ranges using iterators is hacky at best.

Why isn't `apply` a method?

There are two main reasons for this. First, if apply were a method, one would need to make every lifted metafunction an instance of the typeclass defining apply. Since lifted metafunctions are very common, that would be very cumbersome. Second, making apply a method requires using the usual method dispatching mechanism, which adds some overhead.

Why aren't `and_`, `or_` and `not_` methods?

In some previous design of the library, these were methods. However, allowing and_ and or_ to be non-strict required special casing these methods. Since I could not find any use case, I decided to make them normal metafunctions.

Why aren't `*_t` versions of metafunctions provided like in C++1y?

Switching the evaluation burden from the caller to the callee makes this useless in most cases.

Why are MPL-style non-template nullary metafunctions not allowed?

It introduces a special case in the definition of metafunction that prevents us from using f::apply<> to invoke a nullary lifted metafunction. We have to use apply<f>, which will then use either f::apply<> or f::apply. This adds a template instantiation and an overload resolution to each lifted metafunction invocation, which significantly slows down compilation. Considering nullary metafunctions are of limited use anyway (why would you want a function without arguments in a purely functional setting?), this is not worth the trouble. Also, note that MPL-style nullary non-template metafunctions fit in the definition of a boxed type, so they're not completely forgotten.

Todo list

What should we do for default typeclass methods? 1. We reuse the "official" method and we rebox the arguments. cpp template <typename x, typename y> using equal_impl = not_<not_equal<box<x>, box<y>>>;

2. We create an "official" unboxed method and we use that.
  ```cpp
  template <typename x, typename y>
  using equal_impl = not_<not_equal_<x, y>>;
  ```
  where `not_equal_` is a non-boxed version of `not_equal`.

3. We directly forward to the implementation of the method in the
   typeclass.
  ```cpp
  template <typename x, typename y>
  using equal_impl = not_<Comparable<Left, Right>::not_equal_impl<x, y>>;
  ```

Implement cross-type typeclasses.
Implement associative data structures.
Implement a small DSL to implement inline lifted metafunctions (like Boost.MPL's lambda). Consider let expressions. Using the Boost.MPL lingo, such a DSL should: - Allow leaving placeholders as-is inside a lambda, if this is desirable. - Allow performing placeholder substitution in a lambda without actually evaluating the expression, if this is desirable. - Allow "variadic placeholders", i.e. placeholders expanding to several types. One pitfall of this is using such a placeholder with a metafunction that is not variadic:
```
  ```cpp
  template <typename, typename>
  struct f;
  using F = lambda<f<_args>>; // error here, f is not unary
  using Result = F::apply<int, char>::type;
  ```
This fails because `f` requires 2 arguments.
```
Consider allowing types to be printed somehow. The idea is to have something like a Show typeclass that allows types to be pretty-printed for debugging purposes.
Think about a convention or a system to customize some metafunction calls. Something neat would be to have a way of passing a custom predicate when comparing sequences; that would make equal as powerful as the equal algorithm from the Boost.MPL. Maybe we can achieve the same effect in another way.
Consider having a wrapper that allows treating template specializations as data. Something like sequence operations on template specializations and/or tree operations.
Consider adding while_ and until metafunctions.
Consider ditching Foreign and making the default datatype the data constructor itself.
Consider adding Either.
Right now, we must include boost/mpl11/core.hpp to get the instantiate<> template in client code. Maybe typeclass headers should take care of it. Or maybe boost/mpl11/core.hpp should never have to be included by clients altogether?
Add interoperability with the Boost.MPL, Boost.Fusion and components in the std namespace.
Use constexpr to perform numeric computations on homogeneous sequences of integral constants.
Consider providing data constructors taking unboxed types for convenience.
Consider making int_<> a simple boxed int without a value.
Write a rationale for why we don't have parameterized datatypes. Or is this possible/useful?
Make bool.hpp lighter. In particular, it should probably not depend on integer.
Design a StaticConstant concept?
In the tutorial, when we specialize lifted metafunctions inside the boost::mpl11 namespace, we don't make them boxed. This makes sense because they are lifted metafunctions, not boxed lifted metafunctions. What should we do? Should we 1. Make the specializations boxed 2. Do not take for granted that they are boxed when we use them in the library and box them redundantly, which is correct but suboptimal. 3. Explicitly state that nothing may be specialized inside the boost::mpl11 namespace unless specified otherwise. Then, specify what can be specialized on a per-component basis and then we apply (2) only to the components that might not be boxed.
Consider having a public data constructor for Foreign, which would simply preserve type identity. Also; might consider changing the name of Foreign.
Consider regrouping the typeclass instantiations of a datatype in the datatype itself. This was done in a previous version, but it might have some advantages.
Consider providing automatic currying for metafunctions.
By making some std algorithms constexpr and providing a couple of containers with constexpr iterators, would we have constexpr for free almost everywhere?
Consider making bool_ a lifted metafunction that behaves like if_.
Provide a better syntax for casting. Consider cast<Datatype(expr)>.
Seriously consider making datatypes lifted metafunctions.
Consider prototype-based objects?

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MPL11

Disclaimers

Table of contents

Installation

Minified version

Introduction

Metafunctions

Boxed types

Laziness

Lifted metafunctions

Datatypes and data constructors

Boxed data constructors

Laziness in data constructors

Conversions

Methods

Typeclasses

Rewrite rules

Acknowledgements

Rationales

Why are iterators not used in the library?

Why isn't `apply` a method?

Why aren't `and_`, `or_` and `not_` methods?

Why aren't `*_t` versions of metafunctions provided like in C++1y?

Why are MPL-style non-template nullary metafunctions not allowed?

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MPL11

Disclaimers

Table of contents

Installation

Minified version

Introduction

Metafunctions

Boxed types

Laziness

Lifted metafunctions

Datatypes and data constructors

Boxed data constructors

Laziness in data constructors

Conversions

Methods

Typeclasses

Rewrite rules

Acknowledgements

Rationales

Why are iterators not used in the library?

Why isn't apply a method?

Why aren't and_, or_ and not_ methods?

Why aren't *_t versions of metafunctions provided like in C++1y?

Why are MPL-style non-template nullary metafunctions not allowed?

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