[/
 / Copyright (c) 2007 Eric Niebler
 /
 / Distributed under the Boost Software License, Version 1.0. (See accompanying
 / file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
 /]

[/================================================================================]
[section:back_end Back Ends:
    Making Expression Templates Do Useful Work]
[/================================================================================]

Now that you've written the front end for your DSEL compiler, and you've learned a bit about the intermediate form it produces, it's time to think about what to /do/ with the intermediate form. This is where you put your domain-specific algorithms and optimizations. Proto gives you two ways to evaluate and manipulate expression templates: contexts and transforms.

* A /context/ is like a function object that you pass along with an expression to 
  the _eval_ function. It associates behaviors with node types. _eval_ walks the 
  expression and invokes your context at each node.
* A /transform/ is a way to associate behaviors, not with node types in an 
  expression, but with rules in a Proto grammar. In this way, they are like 
  semantic actions in other compiler-construction toolkits.

Two ways to evaluate expressions! How to choose? Since contexts are largely procedural, they are a bit simpler to understand and debug so they are a good place to start. But although transforms are more advanced, they are also more powerful; since they are associated with rules in your grammar, you can select the proper transform based on the entire /structure/ of a sub-expression rather than simply on the type of its top-most node.

Also, transforms have a concise and declarative syntax that can be confusing at first, but highly expressive and fungible once you become accustomed to it. And -- this is admittedly very subjective -- the author finds programming with Proto transforms to be an inordinate amount of /fun!/ Your mileage may vary.

[/================================================================================]
[section:expression_evaluation Expression Evaluation:
    Imparting Behaviors with a Context]
[/================================================================================]

Once you have constructed a Proto expression tree, either by using Proto's
operator overloads or with _make_expr_ and friends, you probably want to
actually /do/ something with it. The simplest option is to use `proto::eval()`,
a generic expression evaluator. To use _eval_, you'll need to define a
/context/ that tells _eval_ how each node should be evaluated. This section
goes through the nuts and bolts of using _eval_, defining evaluation contexts,
and using the contexts that Proto provides.

[note `proto::eval()` is a less powerful but easier-to-use evaluation technique
than Proto transforms, which are covered later. Although very powerful,
transforms have a steep learning curve and can be more difficult to debug.
`proto::eval()` is a rather weak tree traversal algorithm. Dan Marsden has
been working on a more general and powerful tree traversal library. When it is
ready, I anticipate that it will eliminate the need for `proto::eval()`.]

[/================================================================]
[section:proto_eval Evaluating an Expression with [^proto::eval()]]
[/================================================================]

[:[*Synopsis:]]

    namespace proto
    {
        namespace result_of
        {
            // A metafunction for calculating the return
            // type of proto::eval() given certain Expr
            // and Context types.
            template<typename Expr, typename Context>
            struct eval
            {
                typedef
                    typename Context::template eval<Expr>::result_type
                type;
            };
        }

        namespace functional
        {
            // A callable function object type for evaluating
            // a Proto expression with a certain context.
            struct eval : callable
            {
                template<typename Sig>
                struct result;

                template<typename Expr, typename Context>
                typename proto::result_of::eval<Expr, Context>::type
                operator ()(Expr &expr, Context &context) const;

                template<typename Expr, typename Context>
                typename proto::result_of::eval<Expr, Context>::type
                operator ()(Expr &expr, Context const &context) const;
            };
        }

        template<typename Expr, typename Context>
        typename proto::result_of::eval<Expr, Context>::type
        eval(Expr &expr, Context &context);

        template<typename Expr, typename Context>
        typename proto::result_of::eval<Expr, Context>::type
        eval(Expr &expr, Context const &context);
    }

Given an expression and an evaluation context, using _eval_ is quite simple.
Simply pass the expression and the context to _eval_ and it does the rest and
returns the result. You can use the `eval<>` metafunction in the
`proto::result_of` namespace to compute the return type of _eval_. The
following demonstrates a use of _eval_:

    template<typename Expr>
    typename proto::result_of::eval<Expr const, MyContext>::type
    MyEvaluate(Expr const &expr)
    {
        // Some user-defined context type
        MyContext ctx;

        // Evaluate an expression with the context
        return proto::eval(expr, ctx);
    }

What _eval_ does is also very simple. It defers most of the work to the
context itself. Here essentially is the implementation of _eval_:

    // eval() dispatches to a nested "eval<>" function
    // object within the Context:
    template<typename Expr, typename Context>
    typename Context::template eval<Expr>::result_type
    eval(Expr &expr, Context &ctx)
    {
        typename Context::template eval<Expr> eval_fun;
        return eval_fun(expr, ctx);
    }

Really, _eval_ is nothing more than a thin wrapper that dispatches to the
appropriate handler within the context class. In the next section, we'll see
how to implement a context class from scratch.

[endsect]

[/==============================================]
[section:contexts Defining an Evaluation Context]
[/==============================================]

As we saw in the previous section, there is really not much to the _eval_
function. Rather, all the interesting expression evaluation goes on within
a context class. This section shows how to implement one from scratch.

All context classes have roughly the following form:

    // A prototypical user-defined context.
    struct MyContext
    {
        // A nested eval<> class template
        template<
            typename Expr
          , typename Tag = typename proto::tag_of<Expr>::type
        >
        struct eval;

        // Handle terminal nodes here...
        template<typename Expr>
        struct eval<Expr, proto::tag::terminal>
        {
            // Must have a nested result_type typedef.
            typedef ... result_type;

            // Must have a function call operator that takes
            // an expression and the context.
            result_type operator()(Expr &expr, MyContext &ctx) const
            {
                return ...;
            }
        };

        // ... other specializations of struct eval<> ...
    };

Context classes are nothing more than a collection of specializations of a
nested `eval<>` class template. Each specialization handles a different
expression type.

In the [link boost_proto.users_guide.getting_started.hello_calculator Hello Calculator]
section, we saw an example of a user-defined context class for evaluating
calculator expressions. That context class was implemented with the help
of Proto's _callable_context_. If we were to implement it from scratch, it
would look something like this:

    // The calculator_context from the "Hello Calculator" section,
    // implemented from scratch.
    struct calculator_context
    {
        // The values with which we'll replace the placeholders
        std::vector<double> args;

        template<
            typename Expr
            // defaulted template parameters, so we can
            // specialize on the expressions that need
            // special handling.
          , typename Tag = typename proto::tag_of<Expr>::type
          , typename Arg0 = typename proto::child_c<Expr, 0>::type
        >
        struct eval;

        // Handle placeholder terminals here...
        template<typename Expr, int I>
        struct eval<Expr, proto::tag::terminal, placeholder<I> >
        {
            typedef double result_type;

            result_type operator()(Expr &, MyContext &ctx) const
            {
                return ctx.args[I];
            }
        };

        // Handle other terminals here...
        template<typename Expr, typename Arg0>
        struct eval<Expr, proto::tag::terminal, Arg0>
        {
            typedef double result_type;

            result_type operator()(Expr &expr, MyContext &) const
            {
                return proto::child(expr);
            }
        };

        // Handle addition here...
        template<typename Expr, typename Arg0>
        struct eval<Expr, proto::tag::plus, Arg0>
        {
            typedef double result_type;

            result_type operator()(Expr &expr, MyContext &ctx) const
            {
                return proto::eval(proto::left(expr), ctx)
                     + proto::eval(proto::right(expr), ctx);
            }
        };

        // ... other eval<> specializations for other node types ...
    };

Now we can use _eval_ with the context class above to evaluate calculator
expressions as follows:

    // Evaluate an expression with a calculator_context
    calculator_context ctx;
    ctx.args.push_back(5);
    ctx.args.push_back(6);
    double d = proto::eval(_1 + _2, ctx);
    assert(11 == d);

Defining a context from scratch this way is tedious and verbose, but it gives
you complete control over how the expression is evaluated. The context class in
the [link boost_proto.users_guide.getting_started.hello_calculator Hello Calculator] example
was much simpler. In the next section we'll see the helper class Proto provides
to ease the job of implementing context classes.

[endsect]

[/================================================]
[section:canned_contexts Proto's Built-In Contexts]
[/================================================]

Proto provides some ready-made context classes that you can use as-is, or that
you can use to help while implementing your own contexts. They are:

[variablelist
  [ [[link boost_proto.users_guide.back_end.expression_evaluation.canned_contexts.default_context [^default_context]]]
    [An evaluation context that assigns the usual C++ meanings to all the
     operators. For example, addition nodes are handled by evaluating the
     left and right children and then adding the results. The _default_context_
     uses Boost.Typeof to deduce the types of the expressions it evaluates.] ]
  [ [[link boost_proto.users_guide.back_end.expression_evaluation.canned_contexts.null_context [^null_context]]]
    [A simple context that recursively evaluates children but does not combine
     the results in any way and returns void.] ]
  [ [[link boost_proto.users_guide.back_end.expression_evaluation.canned_contexts.callable_context [^callable_context<>]]]
    [A helper that simplifies the job of writing context classes. Rather than
     writing template specializations, with _callable_context_ you write a
     function object with an overloaded function call operator. Any expressions
     not handled by an overload are automatically dispatched to a default
     evaluation context that you can specify.] ]
]

[/=========================================]
[section:default_context [^default_context]]
[/=========================================]

The _default_context_ is an evaluation context that assigns the usual C++
meanings to all the operators. For example, addition nodes are handled by
evaluating the left and right children and then adding the results. The
_default_context_ uses Boost.Typeof to deduce the types of the expressions it
evaluates.

For example, consider the following "Hello World" example:

    #include <iostream>
    #include <boost/proto/proto.hpp>
    #include <boost/proto/context.hpp>
    #include <boost/typeof/std/ostream.hpp>
    using namespace boost;

    proto::terminal< std::ostream & >::type cout_ = { std::cout };

    template< typename Expr >
    void evaluate( Expr const & expr )
    {
        // Evaluate the expression with default_context,
        // to give the operators their C++ meanings:
        proto::default_context ctx;
        proto::eval(expr, ctx);
    }

    int main()
    {
        evaluate( cout_ << "hello" << ',' << " world" );
        return 0;
    }

This program outputs the following:

[pre
hello, world
]

_default_context_ is trivially defined in terms of a `default_eval<>`
template, as follows:

    // Definition of default_context
    struct default_context
    {
        template<typename Expr>
        struct eval
          : default_eval<
                Expr
              , default_context const
              , typename tag_of<Expr>::type
            >
        {};
    };

There are a bunch of `default_eval<>` specializations, each of which handles
a different C++ operator. Here, for instance, is the specialization for binary
addition:

    // A default expression evaluator for binary addition
    template<typename Expr, typename Context>
    struct default_eval<Expr, Context, proto::tag::plus>
    {
    private:
        static Expr    & s_expr;
        static Context & s_ctx;

    public:
        typedef
            decltype(
                proto::eval(proto::child_c<0>(s_expr), s_ctx)
              + proto::eval(proto::child_c<1>(s_expr), s_ctx)
            )
        result_type;

        result_type operator ()(Expr &expr, Context &ctx) const
        {
            return proto::eval(proto::child_c<0>(expr), ctx)
                 + proto::eval(proto::child_c<1>(expr), ctx);
        }
    };

The above code uses `decltype` to calculate the return type of the function
call operator. `decltype` is a new keyword in the next version of C++ that gets
the type of any expression. Most compilers do not yet support `decltype`
directly, so `default_eval<>` uses the Boost.Typeof library to emulate it. On
some compilers, that may mean that `default_context` either doesn't work or
that it requires you to register your types with the Boost.Typeof library.
Check the documentation for Boost.Typeof to see.

[endsect]

[/===================================]
[section:null_context [^null_context]]
[/===================================]

The _null_context_ is a simple context that recursively evaluates children
but does not combine the results in any way and returns void. It is useful
in conjunction with `callable_context<>`, or when defining your own contexts
which mutate an expression tree in-place rather than accumulate a result, as
we'll see below.

_null_context_ is trivially implemented in terms of `null_eval<>` as follows:

    // Definition of null_context
    struct null_context
    {
        template<typename Expr>
        struct eval
          : null_eval<Expr, null_context const, Expr::proto_arity::value>
        {};
    };

And `null_eval<>` is also trivially implemented. Here, for instance is
a binary `null_eval<>`:

    // Binary null_eval<>
    template<typename Expr, typename Context>
    struct null_eval<Expr, Context, 2>
    {
        typedef void result_type;

        void operator()(Expr &expr, Context &ctx) const
        {
            proto::eval(proto::child_c<0>(expr), ctx);
            proto::eval(proto::child_c<1>(expr), ctx);
        }
    };

When would such classes be useful? Imagine you have an expression tree with
integer terminals, and you would like to increment each integer in-place. You
might define an evaluation context as follows:

    struct increment_ints
    {
        // By default, just evaluate all children by delegating
        // to the null_eval<>
        template<typename Expr, typename Arg = proto::result_of::child<Expr>::type>
        struct eval
          : null_eval<Expr, increment_ints const>
        {};

        // Increment integer terminals
        template<typename Expr>
        struct eval<Expr, int>
        {
            typedef void result_type;

            void operator()(Expr &expr, increment_ints const &) const
            {
                ++proto::child(expr);
            }
        };
    };

In the next section on _callable_context_, we'll see an even simpler way to
achieve the same thing.

[endsect]

[/=============================================]
[section:callable_context [^callable_context<>]]
[/=============================================]

The _callable_context_ is a helper that simplifies the job of writing context
classes. Rather than writing template specializations, with _callable_context_
you write a function object with an overloaded function call operator. Any
expressions not handled by an overload are automatically dispatched to a
default evaluation context that you can specify.

Rather than an evaluation context in its own right, _callable_context_ is more
properly thought of as a context adaptor. To use it, you must define your own
context that inherits from _callable_context_.

In the [link boost_proto.users_guide.back_end.expression_evaluation.canned_contexts.null_context [^null_context]]
section, we saw how to implement an evaluation context that increments all the
integers within an expression tree. Here is how to do the same thing with the
_callable_context_:

    // An evaluation context that increments all
    // integer terminals in-place.
    struct increment_ints
      : callable_context<
            increment_ints const // derived context
          , null_context const  // fall-back context
        >
    {
        typedef void result_type;

        // Handle int terminals here:
        void operator()(proto::tag::terminal, int &i) const
        {
            ++i;
        }
    };

With such a context, we can do the following:

    literal<int> i = 0, j = 10;
    proto::eval( i - j * 3.14, increment_ints() );

    std::cout << "i = " << i.get() << std::endl;
    std::cout << "j = " << j.get() << std::endl;

This program outputs the following, which shows that the integers `i` and `j`
have been incremented by `1`:

[pre
i = 1
j = 11
]

In the `increment_ints` context, we didn't have to define any nested `eval<>`
templates. That's because _callable_context_ implements them for us.
_callable_context_ takes two template parameters: the derived context and a
fall-back context. For each node in the expression tree being evaluated,
_callable_context_ checks to see if there is an overloaded `operator()` in the
derived context that accepts it. Given some expression `expr` of type `Expr`,
and a context `ctx`, it attempts to call:

    ctx(
        typename Expr::proto_tag()
      , proto::child_c<0>(expr)
      , proto::child_c<1>(expr)
        ...
    );

Using function overloading and metaprogramming tricks, _callable_context_ can
detect at compile-time whether such a function exists or not. If so, that
function is called. If not, the current expression is passed to the fall-back
evaluation context to be processed.

We saw another example of the _callable_context_ when we looked at the simple
calculator expression evaluator. There, we wanted to customize the evaluation
of placeholder terminals, and delegate the handling of all other nodes to the
_default_context_. We did that as follows:

    // An evaluation context for calculator expressions that
    // explicitly handles placeholder terminals, but defers the
    // processing of all other nodes to the default_context.
    struct calculator_context
      : proto::callable_context< calculator_context const >
    {
        std::vector<double> args;

        // Define the result type of the calculator.
        typedef double result_type;

        // Handle the placeholders:
        template<int I>
        double operator()(proto::tag::terminal, placeholder<I>) const
        {
            return this->args[I];
        }
    };

In this case, we didn't specify a fall-back context. In that case,
_callable_context_ uses the _default_context_. With the above
`calculator_context` and a couple of appropriately defined placeholder
terminals, we can evaluate calculator expressions, as demonstrated
below:

    template<int I>
    struct placeholder
    {};

    terminal<placeholder<0> >::type const _1 = {{}};
    terminal<placeholder<1> >::type const _2 = {{}};
    // ...

    calculator_context ctx;
    ctx.args.push_back(4);
    ctx.args.push_back(5);

    double j = proto::eval( (_2 - _1) / _2 * 100, ctx );
    std::cout << "j = " << j << std::endl;

The above code displays the following:

[pre
j = 20
]

[endsect]

[endsect]

[endsect]

[import ../test/examples.cpp]

[/============================================================================]
[section:expression_transformation Expression Transformation: Semantic Actions]
[/============================================================================]

If you have ever built a parser with the help of a tool like Antlr, yacc or Boost.Spirit, you might be familiar with /semantic actions/. In addition to allowing you to define the grammar of the language recognized by the parser, these tools let you embed code within your grammar that executes when parts of the grammar participate in a parse. Proto has the equivalent of semantic actions. They are called /transforms/. This section describes how to embed transforms within your Proto grammars, turning your grammars into function objects that can manipulate or evaluate expressions in powerful ways.

Proto transforms are an advanced topic. We'll take it slow, using examples to illustrate the key concepts, starting simple.

[/==================================]
[section ["Activating] Your Grammars]
[/==================================]

The Proto grammars we've seen so far are static. You can check at compile-time to see if an expression type matches a grammar, but that's it. Things get more interesting when you give them runtime behaviors. A grammar with embedded transforms is more than just a static grammar. It is a function object that accepts expressions that match the grammar and does /something/ with them.

Below is a very simple grammar. It matches terminal expressions.

    // A simple Proto grammar that matches all terminals
    proto::terminal< _ >

Here is the same grammar with a transform that extracts the value from the terminal:

    // A simple Proto grammar that matches all terminals
    // *and* a function object that extracts the value from
    // the terminal
    proto::when<
        proto::terminal< _ >
      , proto::_value          // <-- Look, a transform!
    >

You can read this as follows: when you match a terminal expression, extract the value. The type `proto::_value` is a so-called transform. Later we'll see what makes it a transform, but for now just think of it as a kind of function object. Note the use of _when_: the first template parameter is the grammar to match and the second is the transform to execute. The result is both a grammar that matches terminal expressions and a function object that accepts terminal expressions and extracts their values. 

As with ordinary grammars, we can define an empty struct that inherits from a grammar+transform to give us an easy way to refer back to the thing we're defining, as follows:

    // A grammar and a function object, as before
    struct Value
      : proto::when<
            proto::terminal< _ >
          , proto::_value
        >
    {};

    // "Value" is a grammar that matches terminal expressions
    BOOST_MPL_ASSERT(( proto::matches< proto::terminal<int>::type, Value > ));

    // "Value" also defines a function object that accepts terminals
    // and extracts their value.
    proto::terminal<int>::type answer = {42};
    Value get_value;
    int i = get_value( answer );

As already mentioned, `Value` is a grammar that matches terminal expressions and a function object that operates on terminal expressions. It would be an error to pass a non-terminal expression to the `Value` function object. This is a general property of grammars with transforms; when using them as function objects, expressions passed to them must match the grammar.

Proto grammars are valid TR1-style function objects. That means you can use `boost::result_of<>` to ask a grammar what its return type will be, given a particular expression type. For instance, we can access the `Value` grammar's return type as follows:

    // We can use boost::result_of<> to get the return type
    // of a Proto grammar.
    typedef
        typename boost::result_of<Value(proto::terminal<int>::type)>::type
    result_type;

    // Check that we got the type we expected
    BOOST_MPL_ASSERT(( boost::is_same<result_type, int> ));

[note A grammar with embedded transforms is both a grammar and a function object. Calling these things "grammars with transforms" would get tedious. We could call them something like "active grammars", but as we'll see /every/ grammar that you can define with Proto is "active"; that is, every grammar has some behavior when used as a function object. So we'll continue calling these things plain "grammars". The term "transform" is reserved for the thing that is used as the second parameter to the _when_ template.]

[endsect]

[/=========================================]
[section Handling Alternation and Recursion]
[/=========================================]

Most grammars are a little more complicated than the one in the preceding section. For the sake of illustration, let's define a rather nonsensical grammar that matches any expression and recurses to the leftmost terminal and returns its value. It will demonstrate how two key concepts of Proto grammars -- alternation and recursion -- interact with transforms. The grammar is described below.

    // A grammar that matches any expression, and a function object
    // that returns the value of the leftmost terminal.
    struct LeftmostLeaf
      : proto::or_<
            // If the expression is a terminal, return its value
            proto::when<
                proto::terminal< _ >
              , proto::_value
            >
            // Otherwise, it is a non-terminal. Return the result
            // of invoking LeftmostLeaf on the 0th (leftmost) child.
          , proto::when<
                _
              , LeftmostLeaf( proto::_child0 )
            >
        >
    {};

    // A Proto terminal wrapping std::cout
    proto::terminal< std::ostream & >::type cout_ = { std::cout };
    
    // Create an expression and use LeftmostLeaf to extract the
    // value of the leftmost terminal, which will be std::cout.
    std::ostream & sout = LeftmostLeaf()( cout_ << "the answer: " << 42 << '\n' );

We've seen `proto::or_<>` before. Here it is serving two roles. First, it is a grammar that matches any of its alternate sub-grammars; in this case, either a terminal or a non-terminal. Second, it is also a function object that accepts an expression, finds the alternate sub-grammar that matches the expression, and applies its transform. And since `LeftmostLeaf` inherits from `proto::or_<>`, `LeftmostLeaf` is also both a grammar and a function object.

[def _some_transform_ [~some-transform]]

[note The second alternate uses `proto::_` as its grammar. Recall that `proto::_` is the wildcard grammar that matches any expression. Since alternates in `proto::or_<>` are tried in order, and since the first alternate handles all terminals, the second alternate handles all (and only) non-terminals. Often enough, `proto::when< _, _some_transform_ >` is the last alternate in a grammar, so for improved readability, you could use the equivalent `proto::otherwise< _some_transform_ >`.]

The next section describes this grammar further.

[endsect]

[/==========================]
[section Callable Transforms]
[/==========================]

[def __bold_transform__ [*LeftmostLeaf( proto::_child0 )]]

In the grammar defined in the preceding section, the transform associated with non-terminals is a little strange-looking:

    proto::when<
        _
      , __bold_transform__   // <-- a "callable" transform
    >

It has the effect of accepting non-terminal expressions, taking the 0th (leftmost) child and recursively invoking the `LeftmostLeaf` function on it. But `LeftmostLeaf( proto::_child0 )` is actually a /function type/. Literally, it is the type of a function that accepts an object of type `proto::_child0` and returns an object of type `LeftmostLeaf`. So how do we make sense of this transform? Clearly, there is no function that actually has this signature, nor would such a function be useful. The key is in understanding how `proto::when<>` /interprets/ its second template parameter.

When the second template parameter to _when_ is a function type, _when_ interprets the function type as a transform. In this case, `LeftmostLeaf` is treated as the type of a function object to invoke, and `proto::_child0` is treated as a transform. First, `proto::_child0` is applied to the current expression (the non-terminal that matched this alternate sub-grammar), and the result (the 0th child) is passed as an argument to `LeftmostLeaf`.

[note *Transforms are a Domain-Specific Language*

`LeftmostLeaf( proto::_child0 )` /looks/ like an invocation of the `LeftmostLeaf` function object, but it's not, but then it actually is! Why this confusing subterfuge? Function types give us a natural and concise syntax for composing more complicated transforms from simpler ones. The fact that the syntax is suggestive of a function invocation is on purpose. It is a domain-specific embedded language for defining expression transformations. If the subterfuge worked, it may have fooled you into thinking the transform is doing exactly what it actually does! And that's the point.]

The type `LeftmostLeaf( proto::_child0 )` is an example of a /callable transform/. It is a function type that represents a function object to call and its arguments. The types `proto::_child0` and `proto::_value` are /primitive transforms/. They are plain structs, not unlike function objects, from which callable transforms can be composed. There is one other type of transform, /object transforms/, that we'll encounter next.

[endsect]

[/========================]
[section Object Transforms]
[/========================]

The very first transform we looked at simply extracted the value of terminals. Let's do the same thing, but this time we'll promote all ints to longs first. (Please forgive the contrived-ness of the examples so far; they get more interesting later.) Here's the grammar:

    // A simple Proto grammar that matches all terminals,
    // and a function object that extracts the value from
    // the terminal, promoting ints to longs:
    struct ValueWithPomote
      : proto::or_<
            proto::when<
                proto::terminal< int >
              , long(proto::_value)     // <-- an "object" transform
            >
          , proto::when<
                proto::terminal< _ >
              , proto::_value
            >
        >
    {};

You can read the above grammar as follows: when you match an int terminal, extract the value from the terminal and use it to initialize a long; otherwise, when you match another kind of terminal, just extract the value. The type `long(proto::_value)` is a so-called /object/ transform. It looks like the creation of a temporary long, but it's really a function type. Just as a callable transform is a function type that represents a function to call and its arguments, an object transforms is a function type that represents an object to construct and the arguments to its constructor.

[/================================================]
[note *Object Transforms vs. Callable Transforms*

When using function types as Proto transforms, they can either represent an object to construct or a function to call. It is similar to "normal" C++ where the syntax `foo("arg")` can either be interpreted as an object to construct or a function to call, depending on whether `foo` is a type or a function. But consider two of the transforms we've seen so far:

``
    LeftmostLeaf(proto::_child0)  // <-- a callable transform
    long(proto::_value)           // <-- an object transform
``

Proto can't know in general which is which, so it uses a trait, `proto::is_callable<>`, to differentiate. `is_callable< long >::value` is false so `long(proto::_value)` is an object to construct, but `is_callable< LeftmostLeaf >::value` is true so `LeftmostLeaf(proto::_child0)` is a function to call. Later on, we'll see how Proto recognizes a type as "callable".]
[/================================================]

[endsect]

[/================================]
[section Example: Calculator Arity]
[/================================]

Now that we have the basics of Proto transforms down, let's consider a slightly more realistic example. We can use transforms to improve the type-safety of the [link boost_proto.users_guide.getting_started.hello_calculator calculator DSEL]. If you recall, it lets you write infix arithmetic expressions involving argument placeholders like `_1` and `_2` and pass them to STL algorithms as function objects, as follows:

    double a1[4] = { 56, 84, 37, 69 };
    double a2[4] = { 65, 120, 60, 70 };
    double a3[4] = { 0 };

    // Use std::transform() and a calculator expression
    // to calculate percentages given two input sequences:
    std::transform(a1, a1+4, a2, a3, (_2 - _1) / _2 * 100);

This works because we gave calculator expressions an `operator()` that evaluates the expression, replacing the placeholders with the arguments to `operator()`. The overloaded `calculator<>::operator()` looked like this:

    // Overload operator() to invoke proto::eval() with
    // our calculator_context.
    template<typename Expr>
    double
    calculator<Expr>::operator()(double a1 = 0, double a2 = 0) const
    {
        calculator_context ctx;
        ctx.args.push_back(a1);
        ctx.args.push_back(a2);
        
        return proto::eval(*this, ctx);
    }

Although this works, it's not ideal because it doesn't warn users if they supply too many or too few arguments to a calculator expression. Consider the following mistakes:

    (_1 * _1)(4, 2);  // Oops, too many arguments!
    (_2 * _2)(42);    // Oops, too few arguments!

The expression `_1 * _1` defines a unary calculator expression; it takes one argument and squares it. If we pass more than one argument, the extra arguments will be silently ignored, which might be surprising to users. The next expression, `_2 * _2` defines a binary calculator expression; it takes two arguments, ignores the first and squares the second. If we only pass one argument, the code silently fills in `0.0` for the second argument, which is also probably not what users expect. What can be done?

We can say that the /arity/ of a calculator expression is the number of arguments it expects, and it is equal to the largest placeholder in the expression. So, the arity of `_1 * _1` is one, and the arity of `_2 * _2` is two. We can increase the type-safety of our calculator DSEL by making sure the arity of an expression equals the actual number of arguments supplied. Computing the arity of an expression is simple with the help of Proto transforms.

It's straightforward to describe in words how the arity of an expression should
be calculated. Consider that calculator expressions can be made of `_1`, `_2`, literals, unary expressions and binary expressions. The following table shows the arities for each of these 5 constituents.

[table Calculator Sub-Expression Arities
    [[Sub-Expression]       [Arity]]
    [[Placeholder 1]        [`1`]]
    [[Placeholder 2]        [`2`]]
    [[Literal]              [`0`]]
    [[Unary Expression]     [ /arity of the operand/ ]]
    [[Binary Expression]    [ /max arity of the two operands/ ]]
]

Using this information, we can write the grammar for calculator expressions and attach transforms for computing the arity of each constituent. The code below computes the expression arity as a compile-time integer, using integral wrappers and metafunctions from the Boost MPL Library. The grammar is described below.

[CalcArity]

When we find a placeholder terminal or a literal, we use an /object transform/ such as `mpl::int_<1>()` to create a (default-constructed) compile-time integer representing the arity of that terminal.

For unary expressions, we use `CalcArity(proto::_child)` which is a /callable transform/ that computes the arity of the expression's child.

The transform for binary expressions has a few new tricks. Let's look more closely:

    // Compute the left and right arities and
    // take the larger of the two.
    mpl::max<CalcArity(proto::_left),
             CalcArity(proto::_right)>()

This is an object transform; it default-constructs ... what exactly? The `mpl::max<>` template is an MPL metafunction that accepts two compile-time integers. It has a nested `::type` typedef (not shown) that is the maximum of the two. But here, we appear to be passing it two things that are /not/ compile-time integers; they're Proto callable transforms. Proto is smart enough to recognize that fact. It first evaluates the two nested callable transforms, computing the arities of the left and right child expressions. Then it puts the resulting integers into `mpl::max<>` and evaluates the metafunction by asking for the nested `::type`. That is the type of the object that gets default-constructed and returned.

More generally, when evaluating object transforms, Proto looks at the object type and checks whether it is a template specialization, like `mpl::max<>`. If it is, Proto looks for nested transforms that it can evaluate. After any nested transforms have been evaluated and substituted back into the template, the new template specialization is the result type, unless that type has a nested `::type`, in which case that becomes the result.

Now that we can calculate the arity of a calculator expression, let's redefine the `calculator<>` expression wrapper we wrote in the Getting Started guide to use the `CalcArity` grammar and some macros from Boost.MPL to issue compile-time errors when users specify too many or too few arguments.

    // The calculator expression wrapper, as defined in the Hello
    // Calculator example in the Getting Started guide. It behaves
    // just like the expression it wraps, but with extra operator()
    // member functions that evaluate the expression.
    //   NEW: Use the CalcArity grammar to ensure that the correct
    //   number of arguments are supplied.
    template<typename Expr>
    struct calculator
      : proto::extends<Expr, calculator<Expr>, calculator_domain>
    {
        typedef
            proto::extends<Expr, calculator<Expr>, calculator_domain>
        base_type;

        calculator(Expr const &expr = Expr())
          : base_type(expr)
        {}

        typedef double result_type;

        // Use CalcArity to compute the arity of Expr: 
        static int const arity = boost::result_of<CalcArity(Expr)>::type::value;

        double operator()() const
        {
            BOOST_MPL_ASSERT_RELATION(0, ==, arity);
            calculator_context ctx;
            return proto::eval(*this, ctx);
        }

        double operator()(double a1) const
        {
            BOOST_MPL_ASSERT_RELATION(1, ==, arity);
            calculator_context ctx;
            ctx.args.push_back(a1);
            return proto::eval(*this, ctx);
        }

        double operator()(double a1, double a2) const
        {
            BOOST_MPL_ASSERT_RELATION(2, ==, arity);
            calculator_context ctx;
            ctx.args.push_back(a1);
            ctx.args.push_back(a2);
            return proto::eval(*this, ctx);
        }
    };

Note the use of `boost::result_of<>` to access the return type of the `CalcArity` function object. Since we used compile-time integers in our transforms, the arity of the expression is encoded in the return type of the `CalcArity` function object. Proto grammars are valid TR1-style function objects, so you can use `boost::result_of<>` to figure out their return types.

With our compile-time assertions in place, when users provide too many or too few arguments to a calculator expression, as in:

    (_2 * _2)(42); // Oops, too few arguments!

... they will get a compile-time error message on the line with the assertion that reads something like this[footnote This error message was generated with Microsoft Visual C++ 9.0. Different compilers will emit different messages with varying degrees of readability.]:

[pre
c:\boost\org\trunk\libs\proto\scratch\main.cpp(97) : error C2664: 'boost::mpl::asse
rtion\_failed' : cannot convert parameter 1 from 'boost::mpl::failed \*\*\*\*\*\*\*\*\*\*\*\*boo
st::mpl::assert\_relation<x,y,\_\_formal>::\*\*\*\*\*\*\*\*\*\*\*\*' to 'boost::mpl::assert<false>
::type'
   with
   \[
       x\=1,
       y\=2,
       \_\_formal\=bool boost::mpl::operator\=\=(boost::mpl::failed,boost::mpl::failed)
   \]
]

The point of this exercise was to show that we can write a fairly simple Proto grammar with embedded transforms that is declarative and readable and can compute interesting properties of arbitrarily complicated expressions. But transforms can do more than that. Boost.Xpressive uses transforms to turn expressions into finite state automata for matching regular expressions, and Boost.Spirit uses transforms to build recursive descent parser generators. Proto comes with a collection of built-in transforms that you can use to perform very sophisticated expression manipulations like these. In the next few sections we'll see some of them in action.

[endsect]

[/===============================================]
[section:state Transforms With State Accumulation]
[/===============================================]

So far, we've only seen examples of grammars with transforms that accept one argument: the expression to transform. But consider for a moment how, in ordinary procedural code, you would turn a binary tree into a linked list. You would start with an empty list. Then, you would recursively convert the right branch to a list, and use the result as the initial state while converting the left branch to a list. That is, you would need a function that takes two parameters: the current node and the list so far. These sorts of /accumulation/ problems are quite common when processing trees. The linked list is an example of an accumulation variable or /state/. Each iteration of the algorithm takes the current element and state, applies some binary function to the two and creates a new state. In the STL, this algorithm is called `std::accumulate()`. In many other languages, it is called /fold/. Let's see how to implement a fold algorithm with Proto transforms.

All Proto grammars can optionally accept a state parameter in addition to the expression to transform. If you want to fold a tree to a list, you'll need to make use of the state parameter to pass around the list you've built so far. As for the list, the Boost.Fusion library provides a `fusion::cons<>` type from which you can build heterogeneous lists. The type `fusion::nil` represents an empty list. 

Below is a grammar that recognizes output expressions like `cout_ << 42 << '\n'` and puts the arguments into a Fusion list. It is explained below.

    // Fold the terminals in output statements like
    // "cout_ << 42 << '\n'" into a Fusion cons-list.
    struct FoldToList
      : proto::or_<
            // Don't add the ostream terminal to the list
            proto::when<
                proto::terminal< std::ostream & >
              , proto::_state
            >
            // Put all other terminals at the head of the
            // list that we're building in the "state" parameter
          , proto::when<
                proto::terminal<_>
              , fusion::cons<proto::_value, proto::_state>(
                    proto::_value, proto::_state
                )
            >
            // For left-shift operations, first fold the right
            // child to a list using the current state. Use
            // the result as the state parameter when folding
            // the left child to a list.
          , proto::when<
                proto::shift_left<FoldToList, FoldToList>
              , FoldToList(
                    proto::_left
                  , FoldToList(proto::_right, proto::_state)
                )
            >
        >
    {};

Before reading on, see if you can apply what you know already about object, callable and primitive transforms to figure out how this grammar works.

When you use the `FoldToList` function, you'll need to pass two arguments: the expression to fold, and the initial state: an empty list. Those two arguments get passed around to each transform. We learned previously that `proto::_value` is a primitive transform that accepts a terminal expression and extracts its value. What we didn't know until now was that it also accepts the current state /and ignores it/. `proto::_state` is also a primitive transform. It accepts the current expression, which it ignores, and the current state, which it returns.

When we find a terminal, we stick it at the head of the cons list, using the current state as the tail of the list. (The first alternate causes the `ostream` to be skipped. We don't want `cout` in the list.) When we find a shift-left node, we apply the following transform:

    // Fold the right child and use the result as
    // state while folding the right.
    FoldToList(
        proto::_left
      , FoldToList(proto::_right, proto::_state)
    )

You can read this transform as follows: using the current state, fold the right child to a list. Use the new list as the state while folding the left child to a list.

[tip If your compiler is Microsoft Visual C++, you'll find that the above transform does not compile. The compiler has bugs with its handling of nested function types. You can work around the bug by wrapping the inner transform in `proto::call<>` as follows:

``
    FoldToList(
        proto::_left
      , proto::call<FoldToList(proto::_right, proto::_state)>
    )
``

`proto::call<>` turns a callable transform into a primitive transform, but more on that later.
]

Now that we have defined the `FoldToList` function object, we can use it to turn output expressions into lists as follows:

    proto::terminal<std::ostream &>::type const cout_ = {std::cout};

    // This is the type of the list we build below
    typedef
        fusion::cons<
            int
          , fusion::cons<
                double
              , fusion::cons<
                    char
                  , fusion::nil
                >
            >
        >
    result_type;

    // Fold an output expression into a Fusion list, using
    // fusion::nil as the initial state of the transformation.
    FoldToList to_list;
    result_type args = to_list(cout_ << 1 << 3.14 << '\n', fusion::nil());

    // Now "args" is the list: {1, 3.14, '\n'}

When writing transforms, "fold" is such a basic operation that Proto provides a number of built-in fold transforms. We'll get to them later. For now, rest assured that you won't always have to stretch your brain so far to do such basic things.

[endsect]

[/================================================]
[section:data Passing Auxiliary Data to Transforms]
[/================================================]

In the last section, we saw that we can pass a second parameter to grammars with transforms: an accumulation variable or /state/ that gets updated as your transform executes. There are times when your transforms will need to access auxiliary data that does /not/ accumulate, so bundling it with the state parameter is impractical. Instead, you can pass auxiliary data as a third parameter, known as the /data/ parameter. Below we show an example involving string processing where the data parameter is essential.

[note All Proto grammars are function objects that take one, two or three arguments: the expression, the state, and the data. There are no additional arguments to know about, we promise. In Haskell, there is set of tree traversal technologies known collectively as _SYB_. In that framework, there are also three parameters: the term, the accumulator, and the context. These are Proto's expression, state and data parameters under different names.]

Expression templates are often used as an optimization to eliminate temporary objects. Consider the problem of string concatenation: a series of concatenations would result in the needless creation of temporary strings. We can use Proto to make string concatenation very efficient. To make the problem more interesting, we can apply a locale-sensitive transformation to each character during the concatenation. The locale information will be passed as the data parameter.

Consider the following expression template:

    proto::lit("hello") + " " + "world";

We would like to concatenate this string into a statically allocated wide character buffer, widening each character in turn using the specified locale. The first step is to write a grammar that describes this expression, with transforms that calculate the total string length. Here it is:

    // A grammar that matches string concatenation expressions, and
    // a transform that calculates the total string length.
    struct StringLength
      : proto::or_<
            proto::when<
                // When you find a character array ...
                proto::terminal<char[proto::N]>
                // ... the length is the size of the array minus 1.
              , mpl::prior<mpl::sizeof_<proto::_value> >()
            >
          , proto::when<
                // The length of a concatenated string is ...
                proto::plus<StringLength, StringLength>
                // ... the sum of the lengths of each sub-string.
              , proto::fold<
                    _
                  , mpl::size_t<0>()
                  , mpl::plus<StringLength, proto::_state>()
                >
            >
        >
    {};

Notice the use of _fold_pt_. It is a primitive transform that takes a sequence, a state, and function, just like `std::accumulate()`. The three template parameters are transforms. The first yields the sequence of expressions over which to fold, the second yields the initial state of the fold, and the third is the function to apply at each iteration. The use of `proto::_` as the first parameter might have you confused. In addition to being Proto's wildcard, `proto::_` is also a primitive transform that returns the current expression, which (if it is a non-terminal) is a sequence of its child expressions.

Next, we need a function object that accepts a narrow string, a wide character buffer, and a `std::ctype<>` facet for doing the locale-specific stuff. It's fairly straightforward.

    // A function object that writes a narrow string
    // into a wide buffer.
    struct WidenCopy : proto::callable
    {
        typedef wchar_t *result_type;

        wchar_t *
        operator()(char const *str, wchar_t *buf, std::ctype<char> const &ct) const
        {
            for(; *str; ++str, ++buf)
                *buf = ct.widen(*str);
            return buf;
        }
    };

Finally, we need some transforms that actually walk the concatenated string expression, widens the characters and writes them to a buffer. We will pass a `wchar_t*` as the state parameter and update it as we go. We'll also pass the `std::ctype<>` facet as the data parameter. It looks like this:

    // Write concatenated strings into a buffer, widening
    // them as we go.
    struct StringCopy
      : proto::or_<
            proto::when<
                proto::terminal<char[proto::N]>
              , WidenCopy(proto::_value, proto::_state, proto::_data)
            >
          , proto::when<
                proto::plus<StringCopy, StringCopy>
              , StringCopy(
                    proto::_right
                  , StringCopy(proto::_left, proto::_state, proto::_data)
                  , proto::_data
                )
            >
        >
    {};

Let's look more closely at the transform associated with non-terminals:

    StringCopy(
        proto::_right
      , StringCopy(proto::_left, proto::_state, proto::_data)
      , proto::_data
    )

This bears a resemblance to the transform in the previous section that folded an expression tree into a list. First we recurse on the left child, writing its strings into the `wchar_t*` passed in as the state parameter. That returns the new value of the `wchar_t*`, which is passed as state while transforming the right child. Both invocations receive the same `std::ctype<>`, which is passed in as the data parameter.

With these pieces in our pocket, we can implement our concatenate-and-widen function as follows:

    template<typename Expr>
    void widen( Expr const &expr )
    {
        // Make sure the expression conforms to our grammar
        BOOST_MPL_ASSERT(( proto::matches<Expr, StringLength> ));

        // Calculate the length of the string and allocate a buffer statically
        static std::size_t const length =
            boost::result_of<StringLength(Expr)>::type::value;
        wchar_t buffer[ length + 1 ] = {L'\0'};

        // Get the current ctype facet
        std::locale loc;
        std::ctype<char> const &ct(std::use_facet<std::ctype<char> >(loc));

        // Concatenate and widen the string expression
        StringCopy()(expr, &buffer[0], ct);

        // Write out the buffer.
        std::wcout << buffer << std::endl;
    }

    int main()
    {
        widen( proto::lit("hello") + " " + "world" );
    }

The above code displays:

[pre
hello world
]

This is a rather round-about way of demonstrating that you can pass extra data to a transform as a third parameter. There are no restrictions on what this parameter can be, and (unlike the state parameter) Proto will never mess with it.

[heading Implicit Parameters to Primitive Transforms]

Let's use the above example to illustrate some other niceties of Proto transforms. We've seen that grammars, when used as function objects, can accept up to 3 parameters, and that when using these grammars in callable transforms, you can also specify up to 3 parameters. Let's take another look at the transform associated with non-terminals above:

    StringCopy(
        proto::_right
      , StringCopy(proto::_left, proto::_state, proto::_data)
      , proto::_data
    )

Here we specify all three parameters to both invocations of the `StringCopy` grammar. But we don't have to specify all three. If we don't specify a third parameter, `proto::_data` is assumed. Likewise for the second parameter and `proto::_state`. So the above transform could have been written more simply as:

    StringCopy(
        proto::_right
      , StringCopy(proto::_left)
    )

The same is true for any primitive transform. The following are all equivalent:

[table Implicit Parameters to Primitive Transforms
  [[Equivalent Transforms]]
  [[`proto::when<_, StringCopy>`]]
  [[`proto::when<_, StringCopy()>`]]
  [[`proto::when<_, StringCopy(_)>`]]
  [[`proto::when<_, StringCopy(_, proto::_state)>`]]
  [[`proto::when<_, StringCopy(_, proto::_state, proto::_data)>`]]
]

[note *Grammars Are Primitive Transforms Are Function Objects*

So far, we've said that all Proto grammars are function objects. But it's more accurate to say that Proto grammars are primitive transforms -- a special kind of function object that takes between 1 and 3 arguments, and that Proto knows to treat specially when used in a callable transform, as in the table above.]

[note *Not All Function Objects Are Primitive Transforms*

You might be tempted now to drop the `_state` and `_data` parameters to `WidenCopy(proto::_value, proto::_state, proto::_data)`. That would be an error. `WidenCopy` is just a plain function object, not a primitive transform, so you must specify all its arguments. We'll see later how to write your own primitive transforms.]

Once you know that primitive transforms will always receive all three parameters -- expression, state, and data -- it makes things possible that wouldn't be otherwise. For instance, consider that for binary expressions, these two transforms are equivalent. Can you see why?

[table Two Equivalent Transforms
  [[Without [^proto::fold<>]][With [^proto::fold<>]]]
  [[``StringCopy(
    proto::_right
  , StringCopy(proto::_left, proto::_state, proto::_data)
  , proto::_data
)``
][``proto::fold<_, proto::_state, StringCopy>``]]
]

[endsect]

[/====================================================]
[section:canned_transforms Proto's Built-In Transforms]
[/====================================================]

[def _N_ [~N]]
[def _G_ [~G]]
[def _G0_ [~G0]]
[def _G1_ [~G1]]
[def _CT_ [~CT]]
[def _OT_ [~OT]]
[def _ET_ [~ET]]
[def _ST_ [~ST]]
[def _FT_ [~FT]]

Primitive transforms are the building blocks for more interesting composite transforms. Proto defines a bunch of generally useful primitive transforms. They are summarized below.

[variablelist
 [[_value_pt_]
      [Given a terminal expression, return the value of the terminal.]]
 [[_child_c_pt_]
      [Given a non-terminal expression, `proto::_child_c<_N_>` returns the _N_-th 
       child.]]
 [[_child_pt_]
      [A synonym for `proto::_child_c<0>`.]]
 [[_left_pt_]
      [A synonym for `proto::_child_c<0>`.]]
 [[_right_pt_]
      [A synonym for `proto::_child_c<1>`.]]
 [[_expr_pt_]
      [Returns the current expression unmodified.]]
 [[_state_pt_]
      [Returns the current state unmodified.]]
 [[_data_pt_]
      [Returns the current data unmodified.]]
 [[_call_pt_]
      [For a given callable transform `_CT_`, `proto::call<_CT_>` turns the 
       callable transform into a primitive transform. This is useful for 
       disambiguating callable transforms from object transforms, and also for 
       working around compiler bugs with nested function types.]]
 [[_make_pt_]
      [For a given object transform `_OT_`, `proto::make<_OT_>` turns the 
       object transform into a primitive transform. This is useful for 
       disambiguating object transforms from callable transforms, and also for 
       working around compiler bugs with nested function types.]]
 [[_default_pt_]
      [Given a grammar _G_, `proto::_default<_G_>` evaluates the current node 
       according to the standard C++ meaning of the operation the node represents.
       For instance, if the current node is a binary plus node, the two children 
       will both be evaluated according to `_G_` and the results will be added and
       returned. The return type is deduced with the help of the Boost.Typeof 
       library.]]
 [[_fold_pt_]
      [Given three transforms `_ET_`, `_ST_`, and `_FT_`, 
       `proto::fold<_ET_, _ST_, _FT_>` first evaluates `_ET_` to obtain a Fusion 
       sequence and `_ST_` to obtain an initial state for the fold, and then 
       evaluates `_FT_` for each element in the sequence to generate the next 
       state from the previous.]]
 [[_reverse_fold_pt_]
      [Like _fold_pt_, except the elements in the Fusion sequence are iterated in 
       reverse order.]]
 [[_fold_tree_pt_]
      [Like `proto::fold<_ET_, _ST_, _FT_>`, except that the result of the `_ET_` 
       transform is treated as an expression tree that is /flattened/ to generate 
       the sequence to be folded. Flattening an expression tree causes child nodes 
       with the same tag type as the parent to be put into sequence. For instance, 
       `a >> b >> c` would be flattened to the sequence \[`a`, `b`, `c`\], and this 
       is the sequence that would be folded.]]
 [[_reverse_fold_tree_pt_]
      [Like _fold_tree_pt_, except that the flattened sequence is iterated in 
       reverse order.]]
 [[_lazy_pt_]
      [A combination of _make_pt_ and _call_pt_ that is useful when the nature of 
       the transform depends on the expression, state and/or data parameters. 
       `proto::lazy<R(A0,A1...An)>` first evaluates `proto::make<R()>` to compute a 
       callable type `R2`. Then, it evaluates `proto::call<R2(A0,A1...An)>`.]]
]

[/============================================]
[heading All Grammars Are Primitive Transforms]
[/============================================]

In addition to the above primitive transforms, all of Proto's grammar elements are also primitive transforms. Their behaviors are described below.

[variablelist
 [[_wild_]
      [Return the current expression unmodified.]]
 [[_or_]
      [For the specified set of alternate sub-grammars, find the one that matches 
       the given expression and apply its associated transform.]]
 [[_and_]
      [For the given set of sub-grammars, apply all the associated transforms and
       return the result of the last.]]
 [[_not_]
      [Return the current expression unmodified.]]
 [[_if_]
      [Given three transforms, evaluate the first and treat the result as a 
       compile-time Boolean value. If it is true, evaluate the second transform. 
       Otherwise, evaluate the third.]]
 [[_switch_]
      [As with _or_, find the sub-grammar that matches the given expression and 
       apply its associated transform.]]
 [[_terminal_]
      [Return the current terminal expression unmodified.]]
 [[_plus_, _nary_expr_, et. al.]
      [A Proto grammar that matches a non-terminal such as
       `proto::plus<_G0_, _G1_>`, when used as a primitive transform, creates a new 
       plus node where the left child is transformed according to `_G0_` and the 
       right child with `_G1_`.]]
]

[/=================================]
[heading The Pass-Through Transform]
[/=================================]

Note the primitive transform associated with grammar elements such as _plus_ described above. They possess a so-called /pass-through/ transform. The pass-through transform accepts an expression of a certain tag type (say, `proto::tag::plus`) and creates a new expression of the same tag type, where each child expression is transformed according to the corresponding child grammar of the pass-through transform. So for instance this grammar ...

    proto::function< X, proto::vararg<Y> >

... matches function expressions where the first child matches the `X` grammar and the rest match the `Y` grammar. When used as a transform, the above grammar will create a new function expression where the first child is transformed according to `X` and the rest are transformed according to `Y`.

The following class templates in Proto can be used as grammars with pass-through transforms:

[table Class Templates With Pass-Through Transforms
    [[Templates with Pass-Through Transforms]]
    [[`proto::unary_plus<>`]]
    [[`proto::negate<>`]]
    [[`proto::dereference<>`]]
    [[`proto::complement<>`]]
    [[`proto::address_of<>`]]
    [[`proto::logical_not<>`]]
    [[`proto::pre_inc<>`]]
    [[`proto::pre_dec<>`]]
    [[`proto::post_inc<>`]]
    [[`proto::post_dec<>`]]
    [[`proto::shift_left<>`]]
    [[`proto::shift_right<>`]]
    [[`proto::multiplies<>`]]
    [[`proto::divides<>`]]
    [[`proto::modulus<>`]]
    [[`proto::plus<>`]]
    [[`proto::minus<>`]]
    [[`proto::less<>`]]
    [[`proto::greater<>`]]
    [[`proto::less_equal<>`]]
    [[`proto::greater_equal<>`]]
    [[`proto::equal_to<>`]]
    [[`proto::not_equal_to<>`]]
    [[`proto::logical_or<>`]]
    [[`proto::logical_and<>`]]
    [[`proto::bitwise_and<>`]]
    [[`proto::bitwise_or<>`]]
    [[`proto::bitwise_xor<>`]]
    [[`proto::comma<>`]]
    [[`proto::mem_ptr<>`]]
    [[`proto::assign<>`]]
    [[`proto::shift_left_assign<>`]]
    [[`proto::shift_right_assign<>`]]
    [[`proto::multiplies_assign<>`]]
    [[`proto::divides_assign<>`]]
    [[`proto::modulus_assign<>`]]
    [[`proto::plus_assign<>`]]
    [[`proto::minus_assign<>`]]
    [[`proto::bitwise_and_assign<>`]]
    [[`proto::bitwise_or_assign<>`]]
    [[`proto::bitwise_xor_assign<>`]]
    [[`proto::subscript<>`]]
    [[`proto::if_else_<>`]]
    [[`proto::function<>`]]
    [[`proto::unary_expr<>`]]
    [[`proto::binary_expr<>`]]
    [[`proto::nary_expr<>`]]
]

[/=====================================================]
[heading The Many Roles of Proto Operator Metafunctions]
[/=====================================================]

We've seen templates such as _terminal_, _plus_ and _nary_expr_ fill many roles. They are metafunction that generate expression types. They are grammars that match expression types. And they are primitive transforms. The following code samples show examples of each.

[*As Metafunctions ...]

    // proto::terminal<> and proto::plus<> are metafunctions
    // that generate expression types:
    typedef proto::terminal<int>::type int_;
    typedef proto::plus<int_, int_>::type plus_;

    int_ i = {42}, j = {24};
    plus_ p = {i, j};

[*As Grammars ...]

    // proto::terminal<> and proto::plus<> are grammars that
    // match expression types
    struct Int : proto::terminal<int> {};
    struct Plus : proto::plus<Int, Int> {};

    BOOST_MPL_ASSERT(( proto::matches< int_, Int > ));
    BOOST_MPL_ASSERT(( proto::matches< plus_, Plus > ));

[*As Primitive Transforms ...]

    // A transform that removes all unary_plus nodes in an expression
    struct RemoveUnaryPlus
      : proto::or_<
            proto::when<
                proto::unary_plus<RemoveUnaryPlus>
              , RemoveUnaryPlus(proto::_child)
            >
            // Use proto::terminal<> and proto::nary_expr<>
            // both as grammars and as primitive transforms.
          , proto::terminal<_>
          , proto::nary_expr<_, proto::vararg<RemoveUnaryPlus> >
        >
    {};

    int main()
    {
        proto::literal<int> i(0);

        proto::display_expr( 
            +i - +(i - +i)
        );

        proto::display_expr( 
            RemoveUnaryPlus()( +i - +(i - +i) )
        );
    }

The above code displays the following, which shows that unary plus nodes have been stripped from the expression:

[pre
minus(
    unary_plus(
        terminal(0)
    )
  , unary_plus(
        minus(
            terminal(0)
          , unary_plus(
                terminal(0)
            )
        )
    )
)
minus(
    terminal(0)
  , minus(
        terminal(0)
      , terminal(0)
    )
)
]

[endsect]

[/======================================================]
[section:primitives Building Custom Primitive Transforms]
[/======================================================]

In previous sections, we've seen how to compose larger transforms out of smaller transforms using function types. The smaller transforms from which larger transforms are composed are /primitive transforms/, and Proto provides a bunch of common ones such as `_child0` and `_value`. In this section we'll see how to author your own primitive transforms.

[note There are a few reasons why you might want to write your own primitive transforms. For instance, your transform may be complicated, and composing it out of primitives becomes unwieldy. You might also need to work around compiler bugs on legacy compilers that make composing transforms using function types problematic. Finally, you might also decide to define your own primitive transforms to improve compile times. Since Proto can simply invoke a primitive transform directly without having to process arguments or differentiate callable transforms from object transforms, primitive transforms are more efficient.]

Primitive transforms inherit from `proto::transform<>` and have a nested `impl<>` template that inherits from `proto::transform_impl<>`. For example, this is how Proto defines the `_child_c<_N_>` transform, which returns the _N_-th child of the current expression:

    namespace boost { namespace proto
    {
        // A primitive transform that returns N-th child
        // of the current expression.
        template<int N>
        struct _child_c : transform<_child_c<N> >
        {
            template<typename Expr, typename State, typename Data>
            struct impl : transform_impl<Expr, State, Data>
            {
                typedef
                    typename result_of::child_c<Expr, N>::type
                result_type;

                result_type operator ()(
                    typename impl::expr_param expr
                  , typename impl::state_param state
                  , typename impl::data_param data
                ) const
                {
                    return proto::child_c<N>(expr);
                }
            };
        };

        // Note that _child_c<N> is callable, so that
        // it can be used in callable transforms, as:
        //   _child_c<0>(_child_c<1>)
        template<int N>
        struct is_callable<_child_c<N> >
          : mpl::true_
        {};
    }}

The `proto::transform<>` base class provides the `operator()` overloads and the nested `result<>` template that make your transform a valid function object. These are implemented in terms of the nested `impl<>` template you define.

The `proto::transform_impl<>` base class is a convenience. It provides some nested typedefs that are generally useful. They are specified in the table below:

[table proto::transform_impl<Expr, State, Data> typedefs
[[typedef][Equivalent To]]
[[`expr`][`typename remove_reference<Expr>::type`]]
[[`state`][`typename remove_reference<State>::type`]]
[[`data`][`typename remove_reference<Data>::type`]]
[[`expr_param`][`typename add_reference<typename add_const<Expr>::type>::type`]]
[[`state_param`][`typename add_reference<typename add_const<State>::type>::type`]]
[[`data_param`][`typename add_reference<typename add_const<Data>::type>::type`]]
]

You'll notice that `_child_c::impl::operator()` takes arguments of types `expr_param`, `state_param`, and `data_param`. The typedefs make it easy to accept arguments by reference or const reference accordingly.

The only other interesting bit is the `is_callable<>` specialization, which will be described in the [link boost_proto.users_guide.back_end.expression_transformation.is_callable next section].

[endsect]

[/=================================================]
[section:is_callable Making Your Transform Callable]
[/=================================================]

Transforms are typically of the form `proto::when< Something, R(A0,A1,...) >`. The question is whether `R` represents a function to call or an object to construct, and the answer determines how _when_ evaluates the transform. _when_ uses the `proto::is_callable<>` trait to disambiguate between the two. Proto does its best to guess whether a type is callable or not, but it doesn't always get it right. It's best to know the rules Proto uses, so that you know when you need to be more explicit.

For most types `R`, `proto::is_callable<R>` checks for inheritance from `proto::callable`. However, if the type `R` is a template specialization, Proto assumes that it is /not/ callable ['even if the template inherits from `proto::callable`]. We'll see why in a minute. Consider the following erroneous callable object:

    // Proto can't tell this defines something callable!
    template<typename T>
    struct times2 : proto::callable
    {
        typedef T result_type;

        T operator()(T i) const
        {
            return i * 2;
        }
    };

    // ERROR! This is not going to multiply the int by 2:
    struct IntTimes2
      : proto::when<
            proto::terminal<int>
          , times2<int>(proto::_value)
        >
    {};

The problem is that Proto doesn't know that `times2<int>` is callable, so rather that invoking the `times2<int>` function object, Proto will try to construct a `times2<int>` object and initialize it will an `int`. That will not compile.

[note Why can't Proto tell that `times2<int>` is callable? After all, it inherits from `proto::callable`, and that is detectable, right? The problem is that merely asking whether some type `X<Y>` inherits from `callable` will cause the template `X<Y>` to be instantiated. That's a problem for a type like `std::vector<_value(_child1)>`. `std::vector<>` will not suffer to be instantiated with `_value(_child1)` as a template parameter. Since merely asking the question will sometimes result in a hard error, Proto can't ask; it has to assume that `X<Y>` represents an object to construct and not a function to call.]

There are a couple of solutions to the `times2<int>` problem. One solution is to wrap the transform in `proto::call<>`. This forces Proto to treat `times2<int>` as callable:

    // OK, calls times2<int>
    struct IntTimes2
      : proto::when<
            proto::terminal<int>
          , proto::call<times2<int>(proto::_value)>
        >
    {};

This can be a bit of a pain, because we need to wrap every use of `times2<int>`, which can be tedious and error prone, and makes our grammar cluttered and harder to read.

Another solution is to specialize `proto::is_callable<>` on our `times2<>` template:

    namespace boost { namespace proto
    {
        // Tell Proto that times2<> is callable
        template<typename T>
        struct is_callable<times2<T> >
          : mpl::true_
        {};
    }}

    // OK, times2<> is callable
    struct IntTimes2
      : proto::when<
            proto::terminal<int>
          , times2<int>(proto::_value)
        >
    {};

This is better, but still a pain because of the need to open Proto's namespace.

You could simply make sure that the callable type is not a template specialization. Consider the following:

    // No longer a template specialization!
    struct times2int : times2<int> {};

    // OK, times2int is callable
    struct IntTimes2
      : proto::when<
            proto::terminal<int>
          , times2int(proto::_value)
        >
    {};

This works because now Proto can tell that `times2int` inherits (indirectly) from `proto::callable`. Any non-template types can be safely checked for inheritance because, as they are not templates, there is no worry about instantiation errors.

There is one last way to tell Proto that `times2<>` is callable. You could add an extra dummy template parameter that defaults to `proto::callable`:

    // Proto will recognize this as callable
    template<typename T, typename Callable = proto::callable>
    struct times2 : proto::callable
    {
        typedef T result_type;

        T operator()(T i) const
        {
            return i * 2;
        }
    };

    // OK, this works!
    struct IntTimes2
      : proto::when<
            proto::terminal<int>
          , times2<int>(proto::_value)
        >
    {};

Note that in addition to the extra template parameter, `times2<>` still inherits from `proto::callable`. That's not necessary in this example but it is good style because any types derived from `times2<>` (as `times2int` defined above) will still be considered callable.

[endsect]

[endsect]

[endsect]