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+.. This is a comment. Note how any initial comments are moved by
+   transforms to after the document title, subtitle, and docinfo.
+
+.. Need intro and conclusion
+.. Exposing classes
+    .. Constructors
+    .. Overloading
+    .. Properties and data members
+    .. Inheritance
+    .. Operators and Special Functions
+    .. Virtual Functions
+.. Call Policies
+
+++++++++++++++++++++++++++++++++++++++++++++++
+ Introducing Boost.Python (Extended Abstract)
+++++++++++++++++++++++++++++++++++++++++++++++
+
+
+.. bibliographic fields (which also require a transform):
+
+:Author: David Abrahams
+:Address: 45 Walnut Street
+          Somerville, MA 02143
+:Contact: dave@boost-consulting.com
+:organization: `Boost Consulting`_
+:date: $Date$
+:status: This is a "work in progress"
+:version: 1
+:copyright: Copyright David Abrahams 2002. All rights reserved
+
+:Dedication:
+
+    For my girlfriend, wife, and partner Luann
+
+:abstract:
+
+    This paper describes the Boost.Python library, a system for
+    C++/Python interoperability.
+
+.. meta::
+   :keywords: Boost,python,Boost.Python,C++
+   :description lang=en: C++/Python interoperability with Boost.Python
+
+.. contents:: Table of Contents
+.. section-numbering::
+
+
+.. _`Boost Consulting`: http://www.boost-consulting.com
+
+==============
+ Introduction
+==============
+
+Python and C++ are in many ways as different as two languages could
+be: while C++ is usually compiled to machine-code, Python is
+interpreted.  Python's dynamic type system is often cited as the
+foundation of its flexibility, while in C++ static typing is the
+cornerstone of its efficiency. C++ has an intricate and difficult
+compile-time meta-language, while in Python, practically everything
+happens at runtime.
+
+Yet for many programmers, these very differences mean that Python and
+C++ complement one another perfectly.  Performance bottlenecks in
+Python programs can be rewritten in C++ for maximal speed, and
+authors of powerful C++ libraries choose Python as a middleware
+language for its flexible system integration capabilities.
+Furthermore, the surface differences mask some strong similarities:
+
+* 'C'-family control structures (if, while, for...)
+
+* Support for object-orientation, functional programming, and generic
+  programming (these are both *multi-paradigm* programming languages.)
+
+* Comprehensive operator overloading facilities, recognizing the
+  importance of syntactic variability for readability and
+  expressivity.
+
+* High-level concepts such as collections and iterators.
+
+* Strong support for writers of re-usable libraries.
+
+* C++ idioms in common use, such as handle/body classes and
+  reference-counted smart pointers mirror Python reference semantics.
+
+* Exception-handling for effective management of error conditions.
+
+Given Python's rich 'C' interoperability API, it should in principle
+be possible to expose C++ type and function interfaces to Python with
+an analogous interface to their C++ counterparts.  However, the
+facilities provided by Python alone for integration with C++ are
+relatively meager.  Some of this, such as the need to manage
+reference-counting manually and lack of C++ exception-handling
+support, comes from the limitations of the 'C' language in which the
+API is implemented.  Those issues aside,most of the hard problems and
+much of the tedium of exposing C++ in Python extension modules can be
+handled if the code understands the C++ type system.  For example:
+
+* Every argument of every wrapped function requires some kind of
+  extraction code to convert it from Python to C++.  Likewise, the
+  function return value has to be converted from C++ to Python.
+  Appropriate Python exceptions must be raised if the conversion
+  fails. Argument and return types are part of the function's type,
+  and much of this tedium can be relieved if the wrapping system can
+  extract that information through  introspection.
+
+* Passing a wrapped C++ derived class instance to a C++ function
+  accepting a pointer or reference to a base class requires knowledge
+  of the inheritance relationship and how to translate the address of
+  a base class into that of a derived class.
+
+The Boost.Python Library (BPL) leverages the power of C++
+meta-programming techniques to introspect about the C++ type system,
+and presents a simple, IDL-like C++ interface for exposing C++ code in
+extension modules.
+
+===========================
+ Boost.Python Design Goals 
+===========================
+
+The primary goal of Boost.Python is to allow users to expose C++
+classes and functions to Python using nothing more than a C++
+compiler.  In broad strokes, the user experience should be one of
+directly manipulating C++ objects from Python.
+
+However, it's also important not to translate all interfaces *too*
+literally: the idioms of each language must be respected.  For
+example, though C++ and Python both have an iterator concept, they are
+expressed very differently.  Boost.Python has to be able to bridge the
+interface gap.
+
+It must be possible to insulate Python users from crashes resulting
+from trivial misuses of C++ interfaces, such as accessing
+already-deleted objects.  By the same token the library should
+insulate C++ users from low-level Python 'C' API, replacing
+error-prone 'C' interfaces like manual reference-count management and
+raw ``PyObject`` pointers with more-robust alternatives.
+
+Support for component-based development is crucial, so that C++ types
+exposed in one extension module can be passed to functions exposed in
+another without loss of crucial information like C++ inheritance
+relationships.
+
+Finally, all wrapping must be *non-intrusive*, without modifying or
+even seeing the original C++ source code.  Existing C++ libraries have
+to be wrappable by third parties who only have access to header files
+and binaries.
+
+==========================
+ Hello Boost.Python World
+==========================
+
+And now for a preview of Boost.Python, and how it improves on the raw
+facilities offered by Python. Here's a function we might want to
+expose::
+
+    char const* greet(unsigned x)
+    {
+       static char const* const msgs[] = { "hello", "Boost.Python", "world!" };
+
+       if (x > 2) 
+           throw std::range_error("greet: index out of range");
+
+       return msgs[x];
+    }
+
+To wrap this function in standard C++ using the Python 'C' API, we'd
+need something like this::
+
+    extern "C" // all Python interactions use 'C' linkage and calling convention
+    {
+        // Wrapper to handle argument/result conversion and checking
+        PyObject* greet_wrap(PyObject* args, PyObject * keywords)
+        {
+             int x;
+             if (PyArg_ParseTuple(args, "i", &x))    // extract/check arguments
+             {
+                 char const* result = greet(x);      // invoke wrapped function
+                 return PyString_FromString(result); // convert result to Python
+             }
+             return 0;                               // error occurred
+        }
+
+        // Table of wrapped functions to be exposed by the module
+        static PyMethodDef methods[] = {
+            { "greet", greet_wrap, METH_VARARGS, "return one of 3 parts of a greeting" }
+            , { NULL, NULL, 0, NULL } // sentinel
+        };
+
+        // module initialization function
+        DL_EXPORT init_hello()
+        {
+            (void) Py_InitModule("hello", methods); // add the methods to the module
+        }
+    }
+
+Now here's the wrapping code we'd use to expose it with Boost.Python::
+
+    #include <boost/python.hpp>
+    using namespace boost::python;
+    BOOST_PYTHON_MODULE(hello)
+    {
+        def("greet", greet, "return one of 3 parts of a greeting");
+    }
+
+and here it is in action::
+
+    >>> import hello
+    >>> for x in range(3):
+    ...     print hello.greet(x)
+    ...
+    hello
+    Boost.Python
+    world!
+
+Aside from the fact that the 'C' API version is much more verbose than
+the BPL one, it's worth noting that it doesn't handle a few things
+correctly:
+
+* The original function accepts an unsigned integer, and the Python
+  'C' API only gives us a way of extracting signed integers. The
+  Boost.Python version will raise a Python exception if we try to pass
+  a negative number to ``hello.greet``, but the other one will proceed
+  to do whatever the C++ implementation does when converting an
+  negative integer to unsigned (usually wrapping to some very large
+  number), and pass the incorrect translation on to the wrapped
+  function.
+
+* That brings us to the second problem: if the C++ ``greet()``
+  function is called with a number greater than 2, it will throw an
+  exception.  Typically, if a C++ exception propagates across the
+  boundary with code generated by a 'C' compiler, it will cause a
+  crash.  As you can see in the first version, there's no C++
+  scaffolding there to prevent this from happening.  Functions wrapped
+  by Boost.Python automatically include an exception-handling layer
+  which protects Python users by translating unhandled C++ exceptions
+  into a corresponding Python exception.
+
+* A slightly more-subtle limitation is that the argument conversion
+  used in the Python 'C' API case can only get that integer ``x`` in
+  *one way*.  PyArg_ParseTuple can't convert Python ``long`` objects
+  (arbitrary-precision integers) which happen to fit in an ``unsigned
+  int`` but not in a ``signed long``, nor will it ever handle a
+  wrapped C++ class with a user-defined implicit ``operator unsigned
+  int()`` conversion.  The BPL's dynamic type conversion registry
+  allows users to add arbitrary conversion methods.
+
+==================
+ Library Overview
+==================
+
+This section outlines some of the library's major features.  Except as
+neccessary to avoid confusion, details of library implementation are
+omitted.
+
+------------------
+ Exposing Classes
+------------------
+
+C++ classes and structs are exposed with a similarly-terse interface.
+Given::
+
+    struct World
+    {
+        void set(std::string msg) { this->msg = msg; }
+        std::string greet() { return msg; }
+        std::string msg;
+    };
+
+The following code will expose it in our extension module::
+    
+    #include <boost/python.hpp>
+    BOOST_PYTHON_MODULE(hello)
+    {
+        class_<World>("World")
+            .def("greet", &World::greet)
+            .def("set", &World::set)
+        ;
+    }
+
+Although this code has a certain pythonic familiarity, people
+sometimes find the syntax bit confusing because it doesn't look like
+most of the C++ code they're used to. All the same, this is just
+standard C++.  Because of their flexible syntax and operator
+overloading, C++ and Python are great for defining domain-specific
+(sub)languages
+(DSLs), and that's what we've done in BPL.  To break it down::
+
+    class_<World>("World")
+
+constructs an unnamed object of type ``class_<World>`` and passes
+``"World"`` to its constructor.  This creates a new-style Python class
+called ``World`` in the extension module, and associates it with the
+C++ type ``World`` in the BPL type conversion registry.  We might have
+also written::
+
+    class_<World> w("World");
+
+but that would've been more verbose, since we'd have to name ``w``
+again to invoke its ``def()`` member function::
+
+        w.def("greet", &World::greet)
+
+There's nothing special about the location of the dot for member
+access in the original example: C++ allows any amount of whitespace on
+either side of a token, and placing the dot at the beginning of each
+line allows us to chain as many successive calls to member functions
+as we like with a uniform syntax.  The other key fact that allows
+chaining is that ``class_<>`` member functions all return a reference
+to ``*this``.
+
+So the example is equivalent to::
+
+    class_<World> w("World");
+    w.def("greet", &World::greet);
+    w.def("set", &World::set);
+
+It's occasionally useful to be able to break down the components of a
+Boost.Python class wrapper in this way, but the rest of this paper
+will tend to stick to the terse syntax.
+
+For completeness, here's the wrapped class in use:
+
+>>> import hello
+>>> planet = hello.World()
+>>> planet.set('howdy')
+>>> planet.greet()
+'howdy'
+
+Constructors
+============
+
+Since our ``World`` class is just a plain ``struct``, it has an
+implicit no-argument (nullary) constructor.  Boost.Python exposes the
+nullary constructor by default, which is why we were able to write:
+
+>>> planet = hello.World()
+
+However, well-designed classes in any language may require constructor
+arguments in order to establish their invariants.  Unlike Python,
+where ``__init__`` is just a specially-named method, In C++
+constructors cannot be handled like ordinary member functions.  In
+particular, we can't take their address: ``&World::World`` is an
+error.  The library provides a different interface for specifying
+constructors.  Given::
+
+    struct World
+    {
+        World(std::string msg); // added constructor
+        ...
+
+we can modify our wrapping code as follows::
+
+    class_<World>("World", init<std::string>())
+        ...
+
+of course, a C++ class may have additional constructors, and we can
+expose those as well by passing more instances of ``init<...>`` to
+``def()``::
+
+    class_<World>("World", init<std::string>())
+        .def(init<double, double>())
+        ...
+
+Boost.Python allows wrapped functions, member functions, and
+constructors to be overloaded to mirror C++ overloading.
+
+Data Members and Properties
+===========================
+
+Any publicly-accessible data members in a C++ class can be easily
+exposed as either ``readonly`` or ``readwrite`` attributes::
+
+    class_<World>("World", init<std::string>())
+        .def_readonly("msg", &World::msg)
+        ...
+
+and can be used directly in Python:
+
+>>> planet = hello.World('howdy')
+>>> planet.msg
+'howdy'
+
+This does *not* result in adding attributes to the ``World`` instance
+``__dict__``, which can result in substantial memory savings when
+wrapping large data structures.  In fact, no instance ``__dict__``
+will be created at all unless attributes are explicitly added from
+Python.  BPL owes this capability to the new Python 2.2 type system,
+in particular the descriptor interface and ``property`` type.
+
+In C++, publicly-accessible data members are considered a sign of poor
+design because they break encapsulation, and style guides usually
+dictate the use of "getter" and "setter" functions instead.  In
+Python, however, ``__getattr__``, ``__setattr__``, and since 2.2,
+``property`` mean that attribute access is just one more
+well-encapsulated syntactic tool at the programmer's disposal.  BPL
+bridges this idiomatic gap by making Python ``property`` creation
+directly available to users.  So if ``msg`` were private, we could
+still expose it as attribute in Python as follows::
+
+    class_<World>("World", init<std::string>())
+        .add_property("msg", &World::greet, &World::set)
+        ...
+
+The example above mirrors the familiar usage of properties in Python
+2.2+:
+
+>>> class World(object):
+...     __init__(self, msg):
+...         self.__msg = msg
+...     def greet(self):
+...         return self.__msg
+...     def set(self, msg):
+...         self.__msg = msg
+...     msg = property(greet, set)
+
+Operators and Special Functions
+===============================
+
+The ability to write arithmetic operators for user-defined types that
+C++ and Python both allow the definition of has been a major factor in
+the popularity of both languages for scientific computing.  The
+success of packages like NumPy attests to the power of exposing
+operators in extension modules.  In this example we'll wrap a class
+representing a position in a large file::
+
+    class FilePos { /*...*/ };
+
+    // Linear offset
+    FilePos     operator+(FilePos, int);
+    FilePos     operator+(int, FilePos);
+    FilePos     operator-(FilePos, int);
+    
+    // Distance between two FilePos objects
+    int         operator-(FilePos, FilePos);
+
+    // Offset with assignment
+    FilePos&    operator+=(FilePos&, int);
+    FilePos&    operator-=(FilePos&, int);
+
+    // Comparison
+    bool        operator<(FilePos, FilePos);
+
+The wrapping code looks like this::
+
+    class_<FilePos>("FilePos")
+        .def(self + int())     // __add__
+        .def(int() + self)     // __radd__
+        .def(self - int())     // __sub__
+
+        .def(self - self)      // __sub__
+
+        .def(self += int())    // __iadd__
+        .def(self -= int())    // __isub__
+
+        .def(self < self);     // __lt__
+        ;
+
+The magic is performed using a simplified application of "expression
+templates" [VELD1995]_, a technique originally developed by for
+optimization of high-performance matrix algebra expressions.  The
+essence is that instead of performing the computation immediately,
+operators are overloaded to construct a type *representing* the
+computation.  In matrix algebra, dramatic optimizations are often
+available when the structure of an entire expression can be taken into
+account, rather than processing each operation "greedily".
+Boost.Python uses the same technique to build an appropriate Python
+callable object based on an expression involving ``self``, which is
+then added to the class.
+
+Inheritance
+===========
+
+C++ inheritance relationships can be represented to Boost.Python by adding
+an optional ``bases<...>`` argument to the ``class_<...>`` template
+parameter list as follows::
+
+     class_<Derived, bases<Base1,Base2> >("Derived")
+          ...
+
+This has two effects:  
+
+1. When the ``class_<...>`` is created, Python type objects
+   corresponding to ``Base1`` and ``Base2`` are looked up in the BPL
+   registry, and are used as bases for the new Python ``Derived`` type
+   object [#mi]_, so methods exposed for the Python ``Base1`` and
+   ``Base2`` types are automatically members of the ``Derived`` type.
+   Because the registry is global, this works correctly even if
+   ``Derived`` is exposed in a different module from either of its
+   bases.
+
+2. C++ conversions from ``Derived`` to its bases are added to the
+   Boost.Python registry.  Thus wrapped C++ methods expecting (a
+   pointer or reference to) an object of either base type can be
+   called with an object wrapping a ``Derived`` instance.  Wrapped
+   member functions of class ``T`` are treated as though they have an
+   implicit first argument of ``T&``, so these conversions are
+   neccessary to allow the base class methods to be called for derived
+   objects.
+
+Of course it's possible to derive new Python classes from wrapped C++
+class instances.  Because Boost.Python uses the new-style class
+system, that works very much as for the Python built-in types.  There
+is one significant detail in which it differs: the built-in types
+generally establish their invariants in their ``__new__`` function, so
+that derived classes do not need to call ``__init__`` on the base
+class before invoking its methods :
+
+>>> class L(list):
+...      def __init__(self):
+...          pass
+...
+>>> L().reverse()
+>>> 
+
+Because C++ object construction is a one-step operation, C++ instance
+data cannot be constructed until the arguments are available, in the
+``__init__`` function:
+
+>>> class D(SomeBPLClass):
+...      def __init__(self):
+...          pass
+...
+>>> D().some_bpl_method()
+Traceback (most recent call last):
+  File "<stdin>", line 1, in ?
+TypeError: bad argument type for built-in operation
+
+This happened because Boost.Python couldn't find instance data of type
+``SomeBPLClass`` within the ``D`` instance; ``D``'s ``__init__``
+function masked construction of the base class.  It could be corrected
+by either removing ``D``'s ``__init__`` function or having it call
+``SomeBPLClass.__init__(...)`` explicitly.
+
+Virtual Functions
+=================
+
+Deriving new types in Python from extension classes is not very
+interesting unless they can be used polymorphically from C++.  In
+other words, Python method implementations should appear to override
+the implementation of C++ virtual functions when called *through base
+class pointers/references from C++*.  Since the only way to alter the
+behavior of a virtual function is to override it in a derived class,
+the user must build a special derived class to dispatch a polymorphic
+class' virtual functions::
+
+    //
+    // interface to wrap:
+    //
+    class Base
+    {
+     public:
+        virtual int f(std::string x) { return 42; }
+        virtual ~Base();
+    };
+
+    int calls_f(Base const& b, std::string x) { return b.f(x); }
+
+    //
+    // Wrapping Code
+    //
+
+    // Dispatcher class
+    struct BaseWrap : Base
+    {
+        // Store a pointer to the Python object
+        BaseWrap(PyObject* self_) : self(self_) {}
+        PyObject* self;
+
+        // Default implementation, for when f is not overridden
+        int f_default(std::string x) { return this->Base::f(x); }
+        // Dispatch implementation
+        int f(std::string x) { return call_method<int>(self, "f", x); }
+    };
+
+    ...
+        def("calls_f", calls_f);
+        class_<Base, BaseWrap>("Base")
+            .def("f", &Base::f, &BaseWrap::f_default)
+            ;
+
+Now here's some Python code which demonstrates:
+
+>>> class Derived(Base):
+...     def f(self, s):
+...          return len(s)
+...
+>>> calls_f(Base(), 'foo')
+42
+>>> calls_f(Derived(), 'forty-two')
+9
+
+Things to notice about the dispatcher class:
+
+* The key element which allows overriding in Python is the
+  ``call_method`` invocation, which uses the same global type
+  conversion registry as the C++ function wrapping does to convert its
+  arguments from C++ to Python and its return type from Python to C++.
+
+* Any constructor signatures you wish to wrap must be replicated with
+  an initial ``PyObject*`` argument
+
+* The dispatcher must store this argument so that it can be used to
+  invoke ``call_method``
+
+* The ``f_default`` member function is needed when the function being
+  exposed is not pure virtual; there's no other way ``Base::f`` can be
+  called on an object of type ``BaseWrap``, since it overrides ``f``.
+
+Admittedly, this formula is tedious to repeat, especially on a project
+with many polymorphic classes; that it is neccessary reflects
+limitations in C++'s compile-time reflection capabilities.  Several
+efforts are underway to write front-ends for Boost.Python which can
+generate these dispatchers (and other wrapping code) automatically.
+If these are successful it will mark a move away from wrapping
+everything directly in pure C++ for many of our users.
+
+=============
+ Conclusions
+=============
+
+Perhaps one day we'll have a language with the simplicity and
+expressive power of Python and the compile-time muscle of C++.  Being
+able to take advantage of all of these facilities without paying the
+mental and development-time penalties of crossing a language barrier
+would bring enormous benefits.  Until then, interoperability tools
+like Boost.Python can help lower the barrier and make the benefits of
+both languages more accessible to both communities.
+
+===========
+ Footnotes
+===========
+
+.. [#mi] For hard-core new-style class/extension module writers it is
+   worth noting that the normal requirement that all extension classes
+   with data form a layout-compatible single-inheritance chain is
+   lifted for Boost.Python extension classes.  Clearly, either
+   ``Base1`` or ``Base2`` has to occupy a different offset in the
+   ``Derived`` class instance.  This is possible because the wrapped
+   part of BPL extension class instances is never assumed to have a
+   fixed offset within the wrapper.
+
+===========
+ Citations
+===========
+
+.. [VELD1995] T. Veldhuizen, "Expression Templates," C++ Report,
+   Vol. 7 No. 5 June 1995, pp. 26-31.
+   http://osl.iu.edu/~tveldhui/papers/Expression-Templates/exprtmpl.html
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+  text-align: center }
+
+h2.subtitle {
+  text-align: center }
+
+hr {
+  width: 75% }
+
+ol.simple, ul.simple {
+  margin-bottom: 1em }
+
+ol.arabic {
+  list-style: decimal }
+
+ol.loweralpha {
+  list-style: lower-alpha }
+
+ol.upperalpha {
+  list-style: upper-alpha }
+
+ol.lowerroman {
+  list-style: lower-roman }
+
+ol.upperroman {
+  list-style: upper-roman }
+
+p.caption {
+  font-style: italic }
+
+p.credits {
+  font-style: italic ;
+  font-size: smaller }
+
+p.label {
+  white-space: nowrap }
+
+p.topic-title {
+  font-weight: bold }
+
+pre.address {
+  margin-bottom: 0 ;
+  margin-top: 0 ;
+  font-family: serif ;
+  font-size: 100% }
+
+pre.line-block {
+  font-family: serif ;
+  font-size: 100% }
+
+pre.literal-block, pre.doctest-block {
+  margin-left: 2em ;
+  margin-right: 2em ;
+  background-color: #eeeeee }
+
+span.classifier {
+  font-family: sans-serif ;
+  font-style: oblique }
+
+span.classifier-delimiter {
+  font-family: sans-serif ;
+  font-weight: bold }
+
+span.interpreted {
+  font-family: sans-serif }
+
+span.option-argument {
+  font-style: italic }
+
+span.pre {
+  white-space: pre }
+
+span.problematic {
+  color: red }
+
+table {
+  margin-top: 0.5em ;
+  margin-bottom: 0.5em }
+
+table.citation {
+  border-left: solid thin gray ;
+  padding-left: 0.5ex }
+
+table.docinfo {
+  margin: 2em 4em }
+
+table.footnote {
+  border-left: solid thin black ;
+  padding-left: 0.5ex }
+
+td, th {
+  padding-left: 0.5em ;
+  padding-right: 0.5em ;
+  vertical-align: top }
+
+th.docinfo-name, th.field-name {
+  font-weight: bold ;
+  text-align: left ;
+  white-space: nowrap }
+
+h1 tt, h2 tt, h3 tt, h4 tt, h5 tt, h6 tt {
+  font-size: 100% }
+
+tt {
+  background-color: #eeeeee }
+
+ul.auto-toc {
+  list-style-type: none }