2
0
mirror of https://github.com/boostorg/python.git synced 2026-01-19 16:32:16 +00:00

This commit was manufactured by cvs2svn to create branch

'thread_rewrite'.

[SVN r30953]
This commit is contained in:
nobody
2005-09-13 14:20:32 +00:00
parent 6afe0d4732
commit daa159a279
442 changed files with 0 additions and 53746 deletions

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# (C) Copyright David Abrahams 2001. Permission to copy, use, modify, sell and
# distribute this software is granted provided this copyright notice appears
# in all copies. This software is provided "as is" without express or implied
# warranty, and with no claim as to its suitability for any purpose.
#
# Boost.Python library Jamfile
# declare the location of this subproject relative to the root
subproject libs/python/build ;
# bring in the rules for python
import python ;
if [ check-python-config ]
{
local bpl-linkflags ;
if $(UNIX) && ( $(OS) = AIX )
{
bpl-linkflags = <linkflags>"-e initlibboost_python" ;
}
# Enabling intrinsics (/0i) or maximize speed (/02) seem to cause
# internal compiler errors with this toolset.
local msvc-stlport-workarounds
= <optimization>off "<cxxflags>-Ogty -O1 -Gs" ;
local sources =
numeric.cpp
list.cpp
long.cpp
dict.cpp
tuple.cpp
str.cpp
slice.cpp
aix_init_module.cpp
converter/from_python.cpp
converter/registry.cpp
converter/type_id.cpp
object/enum.cpp
object/class.cpp
object/function.cpp
object/inheritance.cpp
object/life_support.cpp
object/pickle_support.cpp
errors.cpp
module.cpp
converter/builtin_converters.cpp
converter/arg_to_python_base.cpp
object/iterator.cpp
object_protocol.cpp
object_operators.cpp
wrapper.cpp
exec.cpp
import.cpp
;
dll boost_python
: ../src/$(sources)
: $(BOOST_PYTHON_V2_PROPERTIES)
<define>BOOST_PYTHON_SOURCE
$(bpl-linkflags)
<msvc-stlport><release>$(msvc-stlport-workarounds)
<darwin><*><linkflags>-bind_at_load
<gcc-3_3-darwin><*><linkflags>-bind_at_load
;
template extension
: <dll>boost_python
: <sysinclude>../../..
;
lib boost_python
: # sources
../src/$(sources)
: # requirements
$(BOOST_PYTHON_V2_PROPERTIES)
<define>BOOST_PYTHON_SOURCE
<define>BOOST_STATIC_LIB
$(bpl-linkflags)
<msvc-stlport><release>$(msvc-stlport-workarounds)
;
stage bin-stage : <dll>boost_python <lib>boost_python
: <tag><debug>"_debug"
<tag><debug-python>"_pydebug"
:
debug release
;
install python lib
: <dll>boost_python <lib>boost_python
;
}

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@@ -1,66 +0,0 @@
import os ;
import modules ;
import python ;
if [ python.configured ] {
project boost/python
: source-location ../src
: requirements
#<include>$(PYTHON_PATH)/include
# $(lib_condition)<library-path>$(PYTHON_PATH)/libs
# <link>shared:<library>$(PYTHON_LIB)
# <define>$(defines)
#: usage-requirements # requirement that will be propageted to *users* of this library
# <include>$(PYTHON_PATH)/include
# We have a bug which causes us to conclude that conditionalized
# properties in this section are not free.
# $(lib_condition)<library-path>$(PYTHON_PATH)/lib/python2.2/config
# <shared>true:<find-library>$(PYTHON_LIB)
# <library-path>$(PYTHON_PATH)/lib/python2.2/config
# <library>$(PYTHON_LIB)
;
lib boost_python
:
numeric.cpp
list.cpp
long.cpp
dict.cpp
tuple.cpp
str.cpp
slice.cpp
aix_init_module.cpp
converter/from_python.cpp
converter/registry.cpp
converter/type_id.cpp
object/enum.cpp
object/class.cpp
object/function.cpp
object/inheritance.cpp
object/life_support.cpp
object/pickle_support.cpp
errors.cpp
module.cpp
converter/builtin_converters.cpp
converter/arg_to_python_base.cpp
object/iterator.cpp
object_protocol.cpp
object_operators.cpp
wrapper.cpp
: <link>static:<define>BOOST_PYTHON_STATIC_LIB
<define>BOOST_PYTHON_SOURCE
<library>/python//python
: <link>shared
;
}
else
{
ECHO "warning: Python location is not configured" ;
ECHO "warning: the Boost.Python library won't be built" ;
}

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@@ -1,890 +0,0 @@
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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
meta-language to support compile-time polymorphism, while Python is
a uniform language with convenient runtime polymorphism.
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.
* High-level encapsulation facilities (C++: namespaces, Python: modules)
to support the design of re-usable libraries.
* Exception-handling for effective management of error conditions.
* C++ idioms in common use, such as handle/body classes and
reference-counted smart pointers mirror Python reference semantics.
Python provides a rich 'C' API for writers of 'C' extension modules.
Unfortunately, using this API directly for exposing C++ type and
function interfaces to Python is much more tedious than it should be.
This is mainly due to the limitations of the 'C' language. Compared to
C++ and Python, 'C' has only very rudimentary abstraction facilities.
Support for exception-handling is completely missing. One important
undesirable consequence is that 'C' extension module writers are
required to manually manage Python reference counts. Another unpleasant
consequence is a very high degree of repetition of similar code in 'C'
extension modules. Of course highly redundant code does not only cause
frustration for the module writer, but is also very difficult to
maintain.
The limitations of the 'C' API have lead to the development of a
variety of wrapping systems. SWIG_ is probably the most popular package
for the integration of C/C++ and Python. A more recent development is
the SIP_ package, which is specifically designed for interfacing Python
with the Qt_ graphical user interface library. Both SWIG and SIP
introduce a new specialized language for defining the inter-language
bindings. Of course being able to use a specialized language has
advantages, but having to deal with three different languages (Python,
C/C++ and the interface language) also introduces practical and mental
difficulties. The CXX_ package demonstrates an interesting alternative.
It shows that at least some parts of Python's 'C' API can be wrapped
and presented through a much more user-friendly C++ interface. However,
unlike SWIG and SIP, CXX does not include support for wrapping C++
classes as new Python types. CXX is also no longer actively developed.
In some respects Boost.Python combines ideas from SWIG and SIP with
ideas from CXX. Like SWIG and SIP, Boost.Python is a system for
wrapping C++ classes as new Python "built-in" types, and C/C++
functions as Python functions. Like CXX, Boost.Python presents Python's
'C' API through a C++ interface. Boost.Python goes beyond the scope of
other systems with the unique support for C++ virtual functions that
are overrideable in Python, support for organizing extensions as Python
packages with a central registry for inter-language type conversions,
and a convenient mechanism for tying into Python's serialization engine
(pickle). Importantly, all this is achieved without introducing a new
syntax. Boost.Python 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/C++ code in extension
modules. Boost.Python is a pure C++ library, the inter-language
bindings are defined in pure C++, and other than a C++ compiler only
Python itself is required to get started with Boost.Python. Last but
not least, Boost.Python is an unrestricted open source library. There
are no strings attached even for commercial applications.
.. _SWIG: http://www.swig.org/
.. _SIP: http://www.riverbankcomputing.co.uk/sip/index.php
.. _Qt: http://www.trolltech.com/
.. _CXX: http://cxx.sourceforge.net/
===========================
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
necessary to avoid confusion, details of library implementation are
omitted.
-------------------------------------------
The fundamental type-conversion mechanism
-------------------------------------------
XXX This needs to be rewritten.
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.
------------------
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
necessary 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 necessary 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.
---------------
Serialization
---------------
*Serialization* is the process of converting objects in memory to a
form that can be stored on disk or sent over a network connection. The
serialized object (most often a plain string) can be retrieved and
converted back to the original object. A good serialization system will
automatically convert entire object hierarchies. Python's standard
``pickle`` module is such a system. It leverages the language's strong
runtime introspection facilities for serializing practically arbitrary
user-defined objects. With a few simple and unintrusive provisions this
powerful machinery can be extended to also work for wrapped C++ objects.
Here is an example::
#include <string>
struct World
{
World(std::string a_msg) : msg(a_msg) {}
std::string greet() const { return msg; }
std::string msg;
};
#include <boost/python.hpp>
using namespace boost::python;
struct World_picklers : pickle_suite
{
static tuple
getinitargs(World const& w) { return make_tuple(w.greet()); }
};
BOOST_PYTHON_MODULE(hello)
{
class_<World>("World", init<std::string>())
.def("greet", &World::greet)
.def_pickle(World_picklers())
;
}
Now let's create a ``World`` object and put it to rest on disk::
>>> import hello
>>> import pickle
>>> a_world = hello.World("howdy")
>>> pickle.dump(a_world, open("my_world", "w"))
In a potentially *different script* on a potentially *different
computer* with a potentially *different operating system*::
>>> import pickle
>>> resurrected_world = pickle.load(open("my_world", "r"))
>>> resurrected_world.greet()
'howdy'
Of course the ``cPickle`` module can also be used for faster
processing.
Boost.Python's ``pickle_suite`` fully supports the ``pickle`` protocol
defined in the standard Python documentation. There is a one-to-one
correspondence between the standard pickling methods (``__getinitargs__``,
``__getstate__``, ``__setstate__``) and the functions defined by the
user in the class derived from ``pickle_suite`` (``getinitargs``,
``getstate``, ``setstate``). The ``class_::def_pickle()`` member function
is used to establish the Python bindings for all user-defined functions
simultaneously. Correct signatures for these functions are enforced at
compile time. Non-sensical combinations of the three pickle functions
are also rejected at compile time. These measures are designed to
help the user in avoiding obvious errors.
Enabling serialization of more complex C++ objects requires a little
more work than is shown in the example above. Fortunately the
``object`` interface (see next section) greatly helps in keeping the
code manageable.
------------------
Object interface
------------------
Experienced extension module authors will be familiar with the 'C' view
of Python objects, the ubiquitous ``PyObject*``. Most if not all Python
'C' API functions involve ``PyObject*`` as arguments or return type. A
major complication is the raw reference counting interface presented to
the 'C' programmer. E.g. some API functions return *new references* and
others return *borrowed references*. It is up to the extension module
writer to properly increment and decrement reference counts. This
quickly becomes cumbersome and error prone, especially if there are
multiple execution paths.
Boost.Python provides a type ``object`` which is essentially a high
level wrapper around ``PyObject*``. ``object`` automates reference
counting as much as possible. It also provides the facilities for
converting arbitrary C++ types to Python objects and vice versa.
This significantly reduces the learning effort for prospective
extension module writers.
Creating an ``object`` from any other type is extremely simple::
object o(3);
``object`` has templated interactions with all other types, with
automatic to-python conversions. It happens so naturally that it's
easily overlooked.
The ``extract<T>`` class template can be used to convert Python objects
to C++ types::
double x = extract<double>(o);
All registered user-defined conversions are automatically accessible
through the ``object`` interface. With reference to the ``World`` class
defined in previous examples::
object as_python_object(World("howdy"));
World back_as_c_plus_plus_object = extract<World>(as_python_object);
If a C++ type cannot be converted to a Python object an appropriate
exception is thrown at runtime. Similarly, an appropriate exception is
thrown if a C++ type cannot be extracted from a Python object.
``extract<T>`` provides facilities for avoiding exceptions if this is
desired.
The ``object::attr()`` member function is available for accessing
and manipulating attributes of Python objects. For example::
object planet(World());
planet.attr("set")("howdy");
``planet.attr("set")`` returns a callable ``object``. ``"howdy"`` is
converted to a Python string object which is then passed as an argument
to the ``set`` method.
The ``object`` type is accompanied by a set of derived types
that mirror the Python built-in types such as ``list``, ``dict``,
``tuple``, etc. as much as possible. This enables convenient
manipulation of these high-level types from C++::
dict d;
d["some"] = "thing";
d["lucky_number"] = 13;
list l = d.keys();
This almost looks and works like regular Python code, but it is pure C++.
=================
Thinking hybrid
=================
For many applications runtime performance considerations are very
important. This is particularly true for most scientific applications.
Often the performance considerations dictate the use of a compiled
language for the core algorithms. Traditionally the decision to use a
particular programming language is an exclusive one. Because of the
practical and mental difficulties of combining different languages many
systems are written in just one language. This is quite unfortunate
because the price payed for runtime performance is typically a
significant overhead due to static typing. For example, our experience
shows that developing maintainable C++ code is typically much more
time-consuming and requires much more hard-earned working experience
than developing useful Python code. A related observation is that many
compiled packages are augmented by some type of rudimentary scripting
layer. These ad hoc solutions clearly show that many times a compiled
language alone does not get the job done. On the other hand it is also
clear that a pure Python implementation is too slow for numerically
intensive production code.
Boost.Python enables us to *think hybrid* when developing new
applications. Python can be used for rapidly prototyping a
new application. Python's ease of use and the large pool of standard
libraries give us a head start on the way to a first working system. If
necessary, the working procedure can be used to discover the
rate-limiting algorithms. To maximize performance these can be
reimplemented in C++, together with the Boost.Python bindings needed to
tie them back into the existing higher-level procedure.
Of course, this *top-down* approach is less attractive if it is clear
from the start that many algorithms will eventually have to be
implemented in a compiled language. Fortunately Boost.Python also
enables us to pursue a *bottom-up* approach. We have used this approach
very successfully in the development of a toolbox for scientific
applications (scitbx) that we will describe elsewhere. The toolbox
started out mainly as a library of C++ classes with Boost.Python
bindings, and for a while the growth was mainly concentrated on the C++
parts. However, as the toolbox is becoming more complete, more and more
newly added functionality can be implemented in Python. We expect this
trend to continue, as illustrated qualitatively in this figure:
.. image:: python_cpp_mix.png
This figure shows the ratio of newly added C++ and Python code over
time as new algorithms are implemented. We expect this ratio to level
out near 70% Python. The increasing ability to solve new problems
mostly with the easy-to-use Python language rather than a necessarily
more arcane statically typed language is the return on the investment
of learning how to use Boost.Python. The ability to solve some problems
entirely using only Python will enable a larger group of people to
participate in the rapid development of new applications.
=============
Conclusions
=============
The examples in this paper illustrate that Boost.Python enables
seamless interoperability between C++ and Python. Importantly, this is
achieved without introducing a third syntax: the Python/C++ interface
definitions are written in pure C++. This avoids any problems with
parsing the C++ code to be interfaced to Python, yet the interface
definitions are concise and maintainable. Freed from most of the
development-time penalties of crossing a language boundary, software
designers can take full advantage of two rich and complimentary
language environments. In practice it turns out that some things are
very difficult to do with pure Python/C (e.g. an efficient array
library with an intuitive interface in the compiled language) and
others are very difficult to do with pure C++ (e.g. serialization).
If one has the luxury of being able to design a software system as a
hybrid system from the ground up there are many new ways of avoiding
road blocks in one language or the other.
.. I'm not ready to give up on all of this quite yet
.. 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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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
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"HTML Tidy for Cygwin (vers 1st April 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="boost.css">
<title>Boost.Python - Building and Testing</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="index.html">Boost.Python</a></h1>
<h2 align="center">Building and Testing</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="Reference">
<dt><a href="#requirements">Requirements</a></dt>
<dt><a href="#building">Building Boost.Python</a></dt>
<dd>
<dl class="index">
<dt><a href="#configuration">Configuration</a></dt>
<dt><a href="#cygwin_configuration">Configuration for Cygwin GCC
from a Windows prompt</a></dt>
<dt><a href="#results">Results</a></dt>
<dt><a href="#cygwin">Notes for Cygwin GCC Users</a></dt>
<dt><a href="#mingw">Notes for MinGW (and Cygwin with -mno-cygwin)
GCC Users</a></dt>
<dt><a href="#testing">Testing</a></dt>
</dl>
</dd>
<dt><a href="#building_ext">Building your Extension Module</a></dt>
<dt><a href="#variants">Build Variants</a></dt>
<dt><a href="#VisualStudio">Building Using the Microsoft Visual Studio
IDE</a></dt>
</dl>
<hr>
<h2><a name="requirements">Requirements</a></h2>
<b>Boost.Python</b> version 2 requires <a href=
"http://www.python.org/2.2">Python 2.2</a> <i>or <a href=
"http://www.python.org">newer</a></i>. An unsupported archive of
Boost.Python version 1, which works with versions of Python since 1.5.2,
is available <a href="../build/python_v1.zip">here</a>.
<h2><a name="building">Building Boost.Python</a></h2>
<p>Normally, Boost.Python extension modules must be linked with the
<code>boost_python</code> shared library. In special circumstances you
may want to link to a static version of the <code>boost_python</code>
library, but if multiple Boost.Python extension modules are used
together, it will prevent sharing of types across extension modules, and
consume extra code space. To build <code>boost_python</code>, use <a
href="../../../tools/build/v1/build_system.htm">Boost.Build</a> in the
usual way from the <code>libs/python/build</code> subdirectory of your
boost installation (if you have already built boost from the top level
this may have no effect, since the work is already done).</p>
<h3><a name="configuration">Basic Configuration</a></h3>
You may need to configure the following variables to point Boost.Build at
your Python installation:
<table border="1" summary="build configuration variables">
<tr>
<th>Variable Name</th>
<th>Semantics</th>
<th>Default</th>
<th>Notes</th>
</tr>
<tr>
<td><code>PYTHON_ROOT</code></td>
<td>The root directory of your Python installation</td>
<td>Windows:&nbsp;<code>c:/tools/python</code>
Unix:&nbsp;<code>/usr/local</code></td>
<td>On Unix, this is the <code>--with-prefix=</code> directory used
to configure Python</td>
</tr>
<tr>
<td><code>PYTHON_VERSION</code></td>
<td>The The 2-part python Major.Minor version number</td>
<td><code>2.2</code></td>
<td>Be sure not to include a third number, e.g. <b>not</b>
"<code>2.2.1</code>", even if that's the version you have.</td>
</tr>
<tr>
<td><code>PYTHON_INCLUDES</code></td>
<td>path to Python <code>#include</code> directories</td>
<td>Autoconfigured from <code>PYTHON_ROOT</code>. Try the default
before attempting to set it yourself.</td>
</tr>
<tr>
<td><code>PYTHON_LIB_PATH</code></td>
<td>path to Python library object.</td>
<td>Autoconfigured from <code>PYTHON_ROOT</code>. Try the default
before attempting to set it yourself.</td>
</tr>
</table>
<h3><a name="cygwin_configuration">Configuration for Cygwin GCC from a
Windows prompt</a></h3>
The following settings may be useful when building with <a href=
"http://www.cygwin.com">Cygwin</a> GCC (not MinGW) from a Windows command
shell using a Windows build of <code>bjam</code>. <b>If
"<code>bjam&nbsp;-v</code>" does not report "<code>OS=NT</code>", these
settings do not apply to you</b>; you should use the <a href=
"#configuration">normal configuration</a> variables instead. They are
only useful when building and testing with multiple toolsets on Windows
using a single build command, since Cygwin GCC requires a different build
of Python.
<table border="1" summary=
"Cygwin GCC under NT build configuration variables">
<tr>
<th>Variable Name</th>
<th>Semantics</th>
<th>Default</th>
</tr>
<tr>
<td><code>CYGWIN_PYTHON_[DEBUG_]VERSION</code></td>
<td>The version of python being used under Cygwin.</td>
<td>$(PYTHON_VERSION)</td>
</tr>
<tr>
<td><code>CYGWIN_PYTHON_[DEBUG_]ROOT</code></td>
<td>unix-style path containing the <code>include/</code> directory
containing
<code>python$(CYGWIN_PYTHON_[DEBUG_]VERSION)/python.h</code>.</td>
<td>$(PYTHON_ROOT)</td>
</tr>
<tr>
<td><code>CYGWIN_PYTHON_[DEBUG_]LIB_PATH</code></td>
<td>path containing the user's Cygwin Python import lib
<code>libpython$(CYGWIN_PYTHON_[DEBUG_]VERSION).dll.a</code></td>
<td>Autoconfigured from <code>CYGWIN_PYTHON_ROOT</code></td>
</tr>
<tr>
<td><code>CYGWIN_PYTHON_[DEBUG_]DLL_PATH</code></td>
<td>path containing the user's Cygwin Python dll
(<code>libpython$(CYGWIN_PYTHON_[DEBUG_]VERSION).dll</code>)</td>
<td><code>/bin</code></td>
</tr>
</table>
<h3><a name="cygwin">Notes for Cygwin GCC Users</a></h3>
<p>If you are using Cygwin GCC to build extension modules, you must use a
Cygwin build of Python. The regular Win32 Python installation that you
can download from <a href="http://www.python.org">python.org</a> will not
work with your compiler because the dynamic linking conventions are
different (you can use <a href="http://www.mingw.org/">MinGW</a> GCC if
you want to build extension modules which are compatible with a stock
Win32 Python). The Cygwin installer may be able to install an appropriate
version of Python, or you can follow the traditional <a href=
"http://www.python.org/download/download_source.html">Unix installation
process</a> to build Python from source.</p>
<p>The special build configuration variables listed <a href=
"#cygwin_configuration">above</a> make it possible to use a regular Win32
build of bjam to build and test Boost.Python and Boost.Python extensions
using Cygwin GCC and targeting a Cygwin build of Python.</p>
<h3><a name="mingw">Notes for MinGW (and Cygwin with -mno-cygwin) GCC
Users</a></h3>
<p>You will need to create a MinGW-compatible version of the Python
library; the one shipped with Python will only work with a
Microsoft-compatible linker. Follow the instructions in the
"Non-Microsoft" section of the "Building Extensions: Tips And Tricks"
chapter in <a href=
"http://www.python.org/doc/current/inst/index.html">Installing Python
Modules</a> to create <code>libpythonXX.a</code>, where <code>XX</code>
corresponds to the major and minor version numbers of your Python
installation.</p>
<h3><a name="results">Results</a></h3>
<p>The build process will create a
<code>libs/python/build/bin-stage</code> subdirectory of the boost root
(or of <code>$(ALL_LOCATE_TARGET)</code>, if you have set that variable),
containing the built libraries. The libraries are actually built to
unique directories for each toolset and variant elsewhere in the
filesystem, and copied to the <code>bin-stage</code> directory as a
convenience, so if you build with multiple toolsets at once, the product
of later toolsets will overwrite that of earlier toolsets in
<code>bin-stage</code>.</p>
<h3><a name="testing">Testing</a></h3>
<p>To build and test Boost.Python, start from the
<code>libs/python/test</code> directory and invoke</p>
<blockquote>
<pre>
bjam -sTOOLS=<i><a href=
"../../../more/getting_started.html#Tools">toolset</a></i> test
</pre>
</blockquote>
This will update all of the Boost.Python v1 test and example targets. The
tests are relatively verbose by default. To get less-verbose output, you
might try
<blockquote>
<pre>
bjam -sTOOLS=<i><a href=
"../../../more/getting_started.html#Tools">toolset</a></i> -sPYTHON_TEST_ARGS= test
</pre>
</blockquote>
By default, <code>PYTHON_TEST_ARGS</code> is set to <code>-v</code>.
<h2><a name="building_ext">Building your Extension Module</a></h2>
Though there are other approaches, the smoothest and most reliable way to
build an extension module using Boost.Python is with Boost.Build. If you
have to use another build system, you should use Boost.Build at least
once with the "<code><b>-n</b></code>" option so you can see the
command-lines it uses, and replicate them. You are likely to run into
compilation or linking problems otherwise.
<p>The files required to build a Boost.Python extension module using bjam
are the "local" files <tt>Jamfile</tt>, <tt>Jamrules</tt>, and
<tt>boost_build.jam</tt>, and the <tt>boost/</tt>
and <tt>tools/build/v1/</tt> subdirectories of your Boost
tree. The latter directory contains the source code of the
Boost.Build system, which is used to generate the correct build
commands for your extension module. The '<tt>v1</tt>' refers to
Boost.Build version 1. Version 2 is pre-release and currently not
ready for general use.
<p>
The <tt>libs/python/example/</tt> project we're going to build is
set up to automatically rebuild the Boost.Python library in place
whenever it's out-of-date rather than just reusing an existing
library, so you'll also need the Boost.Python library sources in
<tt>boost/python/src/</tt>.
</p>
<blockquote>
<b>Note:</b> Third-party package and distribution maintainers
for various operating systems sometimes split up Boost's
structure or omit parts of it, so if you didn't download an
official <a href=
"http://sourceforge.net/project/showfiles.php?group_id=7586">Boost
release</a> you might want to <a href=
"http://cvs.sourceforge.net/viewcvs.py/boost/boost/">browse our CVS
structure</a> to make sure you have everything you need, and in the
right places.
</blockquote>
<p>The <code><a href="../example">libs/python/example</a></code>
subdirectory of your boost installation contains a small example which
builds and tests two extensions. To build your own extensions copy the
example subproject and make the following two edits:</p>
<ol>
<li>
<code><a href=
"../example/boost-build.jam"><b>boost-build.jam</b></a></code> - edit
the line which reads
<blockquote>
<pre>
boost-build ../../../tools/build/v1 ;
</pre>
</blockquote>
so that the path refers to the <code>tools/build/v1</code>
subdirectory of your Boost installation.
</li>
<li>
<code><a href="../example/Jamrules"><b>Jamrules</b></a></code> - edit
the line which reads
<blockquote>
<pre>
path-global BOOST_ROOT : ../../.. ;
</pre>
</blockquote>
so that the path refers to the root directory of your Boost
installation.
</li>
</ol>
<p>The instructions <a href="#testing">above</a> for testing Boost.Python
apply equally to your new extension modules in this subproject.</p>
<h2><a name="variants">Build Variants</a></h2>
Three <a href=
"../../../tools/build/v1/build_system.htm#variants">variant</a>
configurations of all python-related targets are supported, and can be
selected by setting the <code><a href=
"../../../tools/build/v1/build_system.htm#user_globals">BUILD</a></code>
variable:
<ul>
<li><code>release</code> (optimization, <tt>-DNDEBUG</tt>)</li>
<li><code>debug</code> (no optimization <tt>-D_DEBUG</tt>)</li>
<li><code>debug-python</code> (no optimization, <tt>-D_DEBUG
-DBOOST_DEBUG_PYTHON</tt>)</li>
</ul>
<p>The first two variants of the <code>boost_python</code> library are
built by default, and are compatible with the default Python
distribution. The <code>debug-python</code> variant corresponds to a
specially-built debugging version of Python. On Unix platforms, this
python is built by adding <code>--with-pydebug</code> when configuring
the Python build. On Windows, the debugging version of Python is
generated by the "Win32 Debug" target of the <code>PCBuild.dsw</code>
Visual C++ 6.0 project in the <code>PCBuild</code> subdirectory of your
Python distribution. Extension modules built with Python debugging
enabled are <b>not link-compatible</b> with a non-debug build of Python.
Since few people actually have a debug build of Python (it doesn't come
with the standard distribution), the normal <code>debug</code> variant
builds modules which are compatible with ordinary Python.</p>
<p>On many windows compilers, when extension modules are built with
<tt>-D_DEBUG</tt>, Python defaults to <i>force</i> linking with a special
debugging version of the Python DLL. Since this debug DLL isn't supplied
with the default Python installation for Windows, Boost.Python uses
<tt><a href=
"../../../boost/python/detail/wrap_python.hpp">boost/python/detail/wrap_python.hpp</a></tt>
to temporarily undefine <tt>_DEBUG</tt> when <tt>Python.h</tt> is
<tt>#include</tt>d - unless <code>BOOST_DEBUG_PYTHON</code> is
defined.</p>
<p>If you want the extra runtime checks available with the debugging
version of the library, <tt>#define BOOST_DEBUG_PYTHON</tt> to re-enable
python debuggin, and link with the <code>debug-python</code> variant of
<tt>boost_python</tt>.</p>
<p>If you do not <tt>#define BOOST_DEBUG_PYTHON</tt>, be sure that any
source files in your extension module <tt>#include&nbsp;&lt;<a href=
"../../../boost/python/detail/wrap_python.hpp">boost/python/detail/wrap_python.hpp</a>&gt;</tt>
instead of the usual <tt>Python.h</tt>, or you will have link
incompatibilities.<br>
</p>
<h2><a name="VisualStudio">Building Using the Microsoft Visual Studio
IDE</a></h2>
<p>For the those of you who feel more comfortable in the IDE world, a
workspace and project file have been included in the <a href=
"../build/VisualStudio">libs/python/build/VisualStudio</a> subdirectory.
It builds release and debug versions of the Boost.Python libraries and
places them and the same directory as Jamfile build does, though the
intermediate object files are placed in a different directory. The files
have been created using Microsoft Visual C++ version 6, but they should
work for later versions as well. You will need to tell the IDE where to
find the Python <code>Include/</code> and <code>Libs/</code> directories.
Under <b>Tools&gt;Options&gt;Directories</b>, add an entry for the Python
include dir (i.e. <code>c:/Python22/Include</code>), and one for the Lib
(i.e. <code>c:/Python/Libs</code>. Make sure it is <code>Libs</code> with
an "<code>s</code>" and not just <code>Lib</code>).</p>
<h3>Using the IDE for your own projects</h3>
<p>Building your own projects using the IDE is slightly more complicated.
Firstly, you need to make sure that the project you create as the right
kind. It should be a "Win32 Dynamic-Link Library". The default one that
Visual Studio 6 creates needs some modifications: turn on RTTI, and
change the debug and release builds to use the respective debug and
release Multithreaded DLL versions. You should probably turn off
incremental linking too -- I believe it a bit flaky. If you do this, then
change the "Debug Info" to "Program Database" to get rid of the Edit and
Continue warning.</p>
<p>You'll need to add the Boost root directory under
<b>Tools&gt;Options&gt;Directories</b> to get your code compiling. To
make it link, add the above <code>boost_python.dsp</code> file to your
workspace, and make your project depend upon it (under
<b>Project&gt;Dependencies</b>). You should be able to build now.</p>
<p>Lastly, go to the <b>Project Settings&gt;Debug</b> Page and add the
<code>Python.exe</code> as the executable for the project. Set a startup
directory, and make sure that your current project's output dll, the
<code>boost_python.dll</code> and the <code>python22.dll</code> are on
the current <code>PATH</code>. If you have a python script that tests
your dll, then add it in the "Program Arguments". Now, if all went well,
you should be able to hit the Run (F5) button, and debug your code.</p>
<blockquote>
<em>The Visual Studio project files are graciously contributed and
maintained by <a href="mailto:brett.calcott@gmail.com">Brett
Calcott</a></em>.
</blockquote>
<hr>
<p>&copy; Copyright David Abrahams 2002-2004. Permission to copy,
use, modify, sell and distribute this document is granted provided
this copyright notice appears in all copies. This document is
provided ``as is'' without express or implied warranty, and with
no claim as to its suitability for any purpose.</p>
<p>Updated: 13 April 2004 (David Abrahams)</p>
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<h2>Synopsis</h2>
Welcome to version 2 of <b>Boost.Python</b>, a C++ library which enables
seamless interoperability between C++ and the <a href=
"http://www.python.org">Python</a> programming language. The new version
has been rewritten from the ground up, with a more convenient and
flexible interface, and many new capabilities, including support for:
<ul>
<li>References and Pointers</li>
<li>Globally Registered Type Coercions</li>
<li>Automatic Cross-Module Type Conversions</li>
<li>Efficient Function Overloading</li>
<li>C++ to Python Exception Translation</li>
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<li>Keyword Arguments</li>
<li>Manipulating Python objects in C++</li>
<li>Exporting C++ Iterators as Python Iterators</li>
<li>Documentation Strings</li>
</ul>
The development of these features was funded in part by grants to <a
href="http://www.boost-consulting.com">Boost Consulting</a> from the <a
href="http://www.llnl.gov/">Lawrence Livermore National Laboratories</a>
and by the <a href="http://cci.lbl.gov/">Computational Crystallography
Initiative</a> at Lawrence Berkeley National Laboratories.
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<hr>
<h2>Articles</h2>
&quot;<a href="PyConDC_2003/bpl.html">Building Hybrid
Systems With Boost Python</a>&quot;, by Dave Abrahams and Ralf
W. Grosse-Kunstleve (<a href="PyConDC_2003/bpl.pdf">PDF</a>)
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
26 August, 2003
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
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<p><i>&copy; Copyright <a href="../../../people/dave_abrahams.htm">Dave
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<div class="section" id="a-conversation-between-brett-calcott-and-david-abrahams">
<h1><a name="a-conversation-between-brett-calcott-and-david-abrahams">A conversation between Brett Calcott and David Abrahams</a></h1>
<table class="field-list" frame="void" rules="none">
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<p>In both of these cases, I'm quite capable of reading code - but the
thing I don't get from scanning the source is a sense of the
architecture, both structurally, and temporally (er, I mean in what
order things go on).</p>
<ol class="arabic">
<li><p class="first">What happens when you do the following:</p>
<pre class="literal-block">
struct boring {};
...etc...
class_&lt;boring&gt;(&quot;boring&quot;)
;
</pre>
</li>
</ol>
<p>There seems to be a fair bit going on.</p>
<blockquote>
<ul class="simple">
<li>Python needs a new ClassType to be registered.</li>
<li>We need to construct a new type that can hold our boring struct.</li>
<li>Inward and outward converters need to be registered for the type.</li>
</ul>
</blockquote>
<p>Can you gesture in the general direction where these things are done?</p>
<blockquote>
<p>I only have time for a &quot;off-the-top-of-my-head&quot; answer at the moment;
I suggest you step through the code with a debugger after reading this
to see how it works, fill in details, and make sure I didn't forget
anything.</p>
<blockquote>
<p>A new (Python) subclass of Boost.Python.Instance (see
libs/python/src/object/class.cpp) is created by invoking
Boost.Python.class, the metatype:</p>
<pre class="literal-block">
&gt;&gt;&gt; boring = Boost.Python.class(
... 'boring'
... , bases_tuple # in this case, just ()
... , {
... '__module__' : module_name
... , '__doc__' : doc_string # optional
... }
... )
</pre>
<p>A handle to this object is stuck in the m_class_object field
of the registration associated with <tt class="literal"><span class="pre">typeid(boring)</span></tt>. The
registry will keep that object alive forever, even if you
wipe out the 'boring' attribute of the extension module
(probably not a good thing).</p>
<p>Because you didn't specify <tt class="literal"><span class="pre">class&lt;boring,</span> <span class="pre">non_copyable,</span>
<span class="pre">...&gt;</span></tt>, a to-python converter for boring is registered which
copies its argument into a value_holder held by the the
Python boring object.</p>
<p>Because you didn't specify <tt class="literal"><span class="pre">class&lt;boring</span> <span class="pre">...&gt;(no_init)</span></tt>,
an <tt class="literal"><span class="pre">__init__</span></tt> function object is added to the class
dictionary which default-constructs a boring in a
value_holder (because you didn't specify some smart pointer
or derived wrapper class as a holder) held by the Python
boring object.</p>
<p><tt class="literal"><span class="pre">register_class_from_python</span></tt> is used to register a
from-python converter for <tt class="literal"><span class="pre">shared_ptr&lt;boring&gt;</span></tt>.
<tt class="literal"><span class="pre">boost::shared_ptr</span></tt>s are special among smart pointers
because their Deleter argument can be made to manage the
whole Python object, not just the C++ object it contains, no
matter how the C++ object is held.</p>
<p>If there were any <tt class="literal"><span class="pre">bases&lt;&gt;</span></tt>, we'd also be registering the
relationship between these base classes and boring in the
up/down cast graph (<tt class="literal"><span class="pre">inheritance.[hpp/cpp]</span></tt>).</p>
<p>In earlier versions of the code, we'd be registering lvalue
from-python converters for the class here, but now
from-python conversion for wrapped classes is handled as a
special case, before consulting the registry, if the source
Python object's metaclass is the Boost.Python metaclass.</p>
<p>Hmm, that from-python converter probably ought to be handled
the way class converters are, with no explicit conversions
registered.</p>
</blockquote>
</blockquote>
<ol class="arabic" start="2">
<li><p class="first">Can you give a brief overview of the data structures that are
present in the registry</p>
<blockquote>
<p>The registry is simple: it's just a map from typeid -&gt;
registration (see boost/python/converter/registrations.hpp).
<tt class="literal"><span class="pre">lvalue_chain</span></tt> and <tt class="literal"><span class="pre">rvalue_chain</span></tt> are simple endogenous
linked lists.</p>
<p>If you want to know more, just ask.</p>
<p>If you want to know about the cast graph, ask me something specific in
a separate message.</p>
</blockquote>
<p>and an overview of the process that happens as a type makes its
way from c++ to python and back again.</p>
</li>
</ol>
<blockquote>
<p>Big subject. I suggest some background reading: look for relevant
info in the LLNL progress reports and the messages they link to.
Also,</p>
<blockquote>
<p><a class="reference" href="http://mail.python.org/pipermail/c++-sig/2002-May/001023.html">http://mail.python.org/pipermail/c++-sig/2002-May/001023.html</a></p>
<p><a class="reference" href="http://mail.python.org/pipermail/c++-sig/2002-December/003115.html">http://mail.python.org/pipermail/c++-sig/2002-December/003115.html</a></p>
<p><a class="reference" href="http://aspn.activestate.com/ASPN/Mail/Message/1280898">http://aspn.activestate.com/ASPN/Mail/Message/1280898</a></p>
<p><a class="reference" href="http://mail.python.org/pipermail/c++-sig/2002-July/001755.html">http://mail.python.org/pipermail/c++-sig/2002-July/001755.html</a></p>
</blockquote>
<p>from c++ to python:</p>
<blockquote>
<p>It depends on the type and the call policies in use or, for
<tt class="literal"><span class="pre">call&lt;&gt;(...)</span></tt>, <tt class="literal"><span class="pre">call_method&lt;&gt;(...)</span></tt>, or <tt class="literal"><span class="pre">object(...)</span></tt>, if
<tt class="literal"><span class="pre">ref</span></tt> or <tt class="literal"><span class="pre">ptr</span></tt> is used. There are also two basic
categories to to-python conversion, &quot;return value&quot; conversion
(for Python-&gt;C++ calls) and &quot;argument&quot; conversion (for
C++-&gt;Python calls and explicit <tt class="literal"><span class="pre">object()</span></tt> conversions). The
behavior of these two categories differs subtly in various ways
whose details I forget at the moment. You can probably find
the answers in the above references, and certainly in the code.</p>
<p>The &quot;default&quot; case is by-value (copying) conversion, which uses
to_python_value as a to-python converter.</p>
<blockquote>
<p>Since there can sensibly be only one way to convert any type
to python (disregarding the idea of scoped registries for the
moment), it makes sense that to-python conversions can be
handled by specializing a template. If the type is one of
the types handled by a built-in conversion
(builtin_converters.hpp), the corresponding template
specialization of to_python_value gets used.</p>
<p>Otherwise, to_python_value uses the <tt class="literal"><span class="pre">m_to_python</span></tt>
function in the registration for the C++ type.</p>
</blockquote>
<p>Other conversions, like by-reference conversions, are only
available for wrapped classes, and are requested explicitly by
using <tt class="literal"><span class="pre">ref(...)</span></tt>, <tt class="literal"><span class="pre">ptr(...)</span></tt>, or by specifying different
CallPolicies for a call, which can cause a different to-python
converter to be used. These conversions are never registered
anywhere, though they do need to use the registration to find
the Python class corresponding to the C++ type being referred
to. They just build a new Python instance and stick the
appropriate Holder instance in it.</p>
</blockquote>
<p>from python to C++:</p>
<blockquote>
<p>Once again I think there is a distinction between &quot;return value&quot;
and &quot;argument&quot; conversions, and I forget exactly what that is.</p>
<p>What happens depends on whether an lvalue conversion is needed
(see <a class="reference" href="http://mail.python.org/pipermail/c++-sig/2002-May/001023.html">http://mail.python.org/pipermail/c++-sig/2002-May/001023.html</a>)
All lvalue conversions are also registered in a type's rvalue
conversion chain, since when an rvalue will do, an lvalue is
certainly good enough.</p>
<p>An lvalue conversion can be done in one step (just get me the
pointer to the object - it can be <tt class="literal"><span class="pre">NULL</span></tt> if no conversion is
possible) while an rvalue conversion requires two steps to
support wrapped function overloading and multiple converters for
a given C++ target type: first tell me if a conversion is
possible, then construct the converted object as a second step.</p>
</blockquote>
</blockquote>
</div>
</div>
<hr class="footer"/>
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===================================
Boost.Python_ Internals |(logo)|__
===================================
.. |(logo)| image:: ../../../boost.png
:alt: Boost
:class: boost-logo
__ ../../../index.htm
.. _`Boost.Python`: index.html
.. _license: ../../../LICENSE_1_0.txt
-------------------------------------------------------
A conversation between Brett Calcott and David Abrahams
-------------------------------------------------------
:copyright: Copyright David Abrahams and Brett Calcott 2003. See
accompanying license_ for terms of use.
In both of these cases, I'm quite capable of reading code - but the
thing I don't get from scanning the source is a sense of the
architecture, both structurally, and temporally (er, I mean in what
order things go on).
1) What happens when you do the following::
struct boring {};
...etc...
class_<boring>("boring")
;
There seems to be a fair bit going on.
- Python needs a new ClassType to be registered.
- We need to construct a new type that can hold our boring struct.
- Inward and outward converters need to be registered for the type.
Can you gesture in the general direction where these things are done?
I only have time for a "off-the-top-of-my-head" answer at the moment;
I suggest you step through the code with a debugger after reading this
to see how it works, fill in details, and make sure I didn't forget
anything.
A new (Python) subclass of Boost.Python.Instance (see
libs/python/src/object/class.cpp) is created by invoking
Boost.Python.class, the metatype::
>>> boring = Boost.Python.class(
... 'boring'
... , bases_tuple # in this case, just ()
... , {
... '__module__' : module_name
... , '__doc__' : doc_string # optional
... }
... )
A handle to this object is stuck in the m_class_object field
of the registration associated with ``typeid(boring)``. The
registry will keep that object alive forever, even if you
wipe out the 'boring' attribute of the extension module
(probably not a good thing).
Because you didn't specify ``class<boring, non_copyable,
...>``, a to-python converter for boring is registered which
copies its argument into a value_holder held by the the
Python boring object.
Because you didn't specify ``class<boring ...>(no_init)``,
an ``__init__`` function object is added to the class
dictionary which default-constructs a boring in a
value_holder (because you didn't specify some smart pointer
or derived wrapper class as a holder) held by the Python
boring object.
``register_class_from_python`` is used to register a
from-python converter for ``shared_ptr<boring>``.
``boost::shared_ptr``\ s are special among smart pointers
because their Deleter argument can be made to manage the
whole Python object, not just the C++ object it contains, no
matter how the C++ object is held.
If there were any ``bases<>``, we'd also be registering the
relationship between these base classes and boring in the
up/down cast graph (``inheritance.[hpp/cpp]``).
In earlier versions of the code, we'd be registering lvalue
from-python converters for the class here, but now
from-python conversion for wrapped classes is handled as a
special case, before consulting the registry, if the source
Python object's metaclass is the Boost.Python metaclass.
Hmm, that from-python converter probably ought to be handled
the way class converters are, with no explicit conversions
registered.
2) Can you give a brief overview of the data structures that are
present in the registry
The registry is simple: it's just a map from typeid ->
registration (see boost/python/converter/registrations.hpp).
``lvalue_chain`` and ``rvalue_chain`` are simple endogenous
linked lists.
If you want to know more, just ask.
If you want to know about the cast graph, ask me something specific in
a separate message.
and an overview of the process that happens as a type makes its
way from c++ to python and back again.
Big subject. I suggest some background reading: look for relevant
info in the LLNL progress reports and the messages they link to.
Also,
http://mail.python.org/pipermail/c++-sig/2002-May/001023.html
http://mail.python.org/pipermail/c++-sig/2002-December/003115.html
http://aspn.activestate.com/ASPN/Mail/Message/1280898
http://mail.python.org/pipermail/c++-sig/2002-July/001755.html
from c++ to python:
It depends on the type and the call policies in use or, for
``call<>(...)``, ``call_method<>(...)``, or ``object(...)``, if
``ref`` or ``ptr`` is used. There are also two basic
categories to to-python conversion, "return value" conversion
(for Python->C++ calls) and "argument" conversion (for
C++->Python calls and explicit ``object()`` conversions). The
behavior of these two categories differs subtly in various ways
whose details I forget at the moment. You can probably find
the answers in the above references, and certainly in the code.
The "default" case is by-value (copying) conversion, which uses
to_python_value as a to-python converter.
Since there can sensibly be only one way to convert any type
to python (disregarding the idea of scoped registries for the
moment), it makes sense that to-python conversions can be
handled by specializing a template. If the type is one of
the types handled by a built-in conversion
(builtin_converters.hpp), the corresponding template
specialization of to_python_value gets used.
Otherwise, to_python_value uses the ``m_to_python``
function in the registration for the C++ type.
Other conversions, like by-reference conversions, are only
available for wrapped classes, and are requested explicitly by
using ``ref(...)``, ``ptr(...)``, or by specifying different
CallPolicies for a call, which can cause a different to-python
converter to be used. These conversions are never registered
anywhere, though they do need to use the registration to find
the Python class corresponding to the C++ type being referred
to. They just build a new Python instance and stick the
appropriate Holder instance in it.
from python to C++:
Once again I think there is a distinction between "return value"
and "argument" conversions, and I forget exactly what that is.
What happens depends on whether an lvalue conversion is needed
(see http://mail.python.org/pipermail/c++-sig/2002-May/001023.html)
All lvalue conversions are also registered in a type's rvalue
conversion chain, since when an rvalue will do, an lvalue is
certainly good enough.
An lvalue conversion can be done in one step (just get me the
pointer to the object - it can be ``NULL`` if no conversion is
possible) while an rvalue conversion requires two steps to
support wrapped function overloading and multiple converters for
a given C++ target type: first tell me if a conversion is
possible, then construct the converted object as a second step.

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"C++ Boost" src="../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="index.html">Boost.Python</a></h1>
<h2 align="center">News/Change Log</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt>11 March 2005</dt>
<dd>
<ul>
<li>Added a hack that will fool PyDoc into working with Boost.Python, thanks to Nick Rasmussen</li>
</ul>
</dd>
<dt>19 November 2004 - 1.32 release</dt>
<dd>
<ul>
<li>Updated to use the Boost Software License.</li>
<li>A new, <a href="tutorial/doc/html/python/exposing.html#python.class_virtual_functions">better method of wrapping classes with virtual functions</a> has been implemented.</li>
<li>Support for upcoming GCC symbol export control features have been folded in, thanks to Niall Douglas.</li>
<li>Improved support for <code>std::auto_ptr</code>-like types.</li>
<li>The Visual C++ bug that makes top-level <i>cv-qualification</i> of function parameter types part of the function type has been worked around.</li>
<li>Components used by other libraries have been moved out of <code>python/detail</code> and into <code> boost/detail</code> to improve dependency relationships.</li>
<li>Miscellaneous bug fixes and compiler workarounds.</li>
</ul>
</dd>
<dt>8 Sept 2004</dt>
<dd>
Support for Python's Bool type, thanks to <a
mailto="dholth-at-fastmail.fm">Daniel Holth</a>.
</dd>
<dt>11 Sept 2003</dt>
<dd>
<ul>
<li>Changed the response to multiple to-python converters being
registered for the same type from a hard error into warning;
Boost.Python now reports the offending type in the message.</li>
<li>Added builtin <code>std::wstring</code> conversions</li>
<li>Added <code>std::out_of_range</code> =&gt; Python
<code>IndexError</code> exception conversion, thanks to <a href=
"mailto:RaoulGough-at-yahoo.co.uk">Raoul Gough</a></li>
</ul>
</dd>
<dt>9 Sept 2003</dt>
<dd>Added new <code><a href="v2/str.html#str-spec">str</a></code></dd>
<dt>constructors which take a range of characters, allowing strings
containing nul (<code>'\0'</code>) characters.</dt>
<dt>8 Sept 2003</dt>
<dd>Added the ability to create methods from function objects (with an
<code>operator()</code>); see the <a href=
"v2/make_function.html#make_function-spec">make_function</a> docs for
more info.</dd>
<dt>10 August 2003</dt>
<dd>Added the new <code>properties</code> unit tests contributed by <a
href="mailto:romany-at-actimize.com">Roman Yakovenko</a> and documented
<code>add_static_property</code> at his urging.</dd>
<dt>1 August 2003</dt>
<dd>
Added the new <code>arg</code> class contributed by <a href=
"mailto:nickm-at-sitius.com">Nikolay Mladenov</a> which supplies the
ability to wrap functions that can be called with ommitted arguments
in the middle:
<pre>
void f(int x = 0, double y = 3.14, std::string z = std::string("foo"));
BOOST_PYTHON_MODULE(test)
{
def("f", f
, (arg("x", 0), arg("y", 3.14), arg("z", "foo")));
}
</pre>
And in Python:
<pre>
&gt;&gt;&gt; import test
&gt;&gt;&gt; f(0, z = "bar")
&gt;&gt;&gt; f(z = "bar", y = 0.0)
</pre>
Thanks, Nikolay!
</dd>
<dt>22 July 2003</dt>
<dd>Killed the dreaded "bad argument type for builtin operation" error.
Argument errors now show the actual and expected argument types!</dd>
<dt>19 July 2003</dt>
<dd>Added the new <code><a href=
"v2/return_arg.html">return_arg</a></code> policy from <a href=
"mailto:nickm-at-sitius.com">Nikolay Mladenov</a>. Thanks,
Nikolay!</dd>
<dt>18 March, 2003</dt>
<dd><a href="mailto:Gottfried.Ganssauge-at-haufe.de">Gottfried
Gan&szlig;auge</a> has contributed <a href=
"v2/opaque_pointer_converter.html">opaque pointer support</a>.<br>
<a href="mailto:nicodemus-at-globalite.com.br">Bruno da Silva de Oliveira</a>
has contributed the exciting <a href="../pyste/index.html">Pyste</a>
("Pie-steh") package.</dd>
<dt>24 February 2003</dt>
<dd>Finished improved support for <code>boost::shared_ptr</code>. Now
any wrapped object of C++ class <code>X</code> can be converted
automatically to <code>shared_ptr&lt;X&gt;</code>, regardless of how it
was wrapped. The <code>shared_ptr</code> will manage the lifetime of
the Python object which supplied the <code>X</code>, rather than just
the <code>X</code> object itself, and when such a
<code>shared_ptr</code> is converted back to Python, the original
Python object will be returned.</dd>
<dt>19 January 2003</dt>
<dd>Integrated <code>staticmethod</code> support from <a href=
"mailto:nickm-at-sitius.com">Nikolay Mladenov</a>. Thanks,
Nikolay!</dd>
<dt>29 December 2002</dt>
<dd>Added Visual Studio project file and instructions from Brett
Calcott. Thanks, Brett!</dd>
<dt>20 December 2002</dt>
<dd>Added automatic downcasting for pointers, references, and smart
pointers to polymorphic class types upon conversion to python</dd>
<dt>18 December 2002</dt>
<dd>Optimized from_python conversions for wrapped classes by putting
the conversion logic in the shared library instead of registering
separate converters for each class in each extension module</dd>
<dt>19 November 2002</dt>
<dd>Removed the need for users to cast base class member function
pointers when used as arguments to <a href=
"v2/class.html#class_-spec-modifiers">add_property</a></dd>
<dt>13 December 2002</dt>
<dd>Allow exporting of <a href=
"v2/enum.html#enum_-spec"><code>enum_</code></a> values into enclosing
<a href="v2/scope.html#scope-spec"><code>scope</code></a>.<br>
Fixed unsigned integer conversions to deal correctly with numbers that
are out-of-range of <code>signed long</code>.</dd>
<dt>14 November 2002</dt>
<dd>Auto-detection of class data members wrapped with <a href=
"v2/data_members.html#make_getter-spec"><code>make_getter</code></a></dd>
<dt>13 November 2002</dt>
<dd>Full Support for <code>std::auto_ptr&lt;&gt;</code> added.</dd>
<dt>October 2002</dt>
<dd>Ongoing updates and improvements to tutorial documentation</dd>
<dt>10 October 2002</dt>
<dd>Boost.Python V2 is released!</dd>
</dl>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
19 November 2004
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002-2003.</i></p>
</body>
</html>

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@@ -1,217 +0,0 @@
How Runtime Polymorphism is expressed in Boost.Python:
-----------------------------------------------------
struct A { virtual std::string f(); virtual ~A(); };
std::string call_f(A& x) { return x.f(); }
struct B { virtual std::string f() { return "B"; } };
struct Bcb : B
{
Bcb(PyObject* self) : m_self(self) {}
virtual std::string f() { return call_method<std::string>(m_sef, "f"); }
static std::string f_default(B& b) { return b.B::f(); }
PyObject* m_self;
};
struct C : B
{
virtual std::string f() { return "C"; }
};
>>> class D(B):
... def f():
... return 'D'
...
>>> class E(B): pass
...
When we write, "invokes B::f non-virtually", we mean:
void g(B& x) { x.B::f(); }
This will call B::f() regardless of the dynamic type of x. Any other
way of invoking B::f, including through a function pointer, is a
"virtual invocation", and will call the most-derived override of f().
Case studies
C++\Python class
\___A_____B_____C_____D____E___
|
A | 1
|
B | 2 3
|
Bcb | 4 5 6
|
C | 7 8
|
1. Simple case
2. Python A holds a B*. Probably won't happen once we have forced
downcasting.
Requires:
x.f() -> 'B'
call_f(x) -> 'B'
Implies: A.f invokes A::f() (virtually or otherwise)
3. Python B holds a B*.
Requires:
x.f() -> 'B'
call_f(x) -> 'B'
Implies: B.f invokes B::f (virtually or otherwise)
4. B constructed from Python
Requires:
x.f() -> 'B'
call_f(x) -> 'B'
Implies: B.f invokes B::f non-virtually. Bcb::f invokes B::f
non-virtually.
Question: Does it help if we arrange for Python B construction to
build a true B object? Then this case doesn't arise.
5. D is a Python class derived from B
Requires:
x.f() -> 'D'
call_f(x) -> 'D'
Implies: Bcb::f must invoke call_method to look up the Python
method override, otherwise call_f wouldn't work.
6. E is like D, but doesn't override f
Requires:
x.f() -> 'B'
call_f(x) -> 'B'
Implies: B.f invokes B::f non-virtually. If it were virtual, x.f()
would cause infinite recursion, because we've already
determined that Bcb::f must invoke call_method to look up
the Python method override.
7. Python B object holds a C*
Requires:
x.f() -> 'C'
call_f(x) -> 'C'
Implies: B.f invokes B::f virtually.
8. C object constructed from Python
Requires:
x.f() -> 'C'
call_f(x) -> 'C'
Implies: nothing new.
------
Total implications:
2: A.f invokes A::f() (virtually or otherwise)
3: B.f invokes B::f (virtually or otherwise)
4: B.f invokes B::f non-virtually. Bcb::f invokes B::f non-virtually
6: B.f invokes B::f non-virtually.
7: B.f invokes B::f virtually.
5: Bcb::f invokes call_method to look up the Python method
Though (4) is avoidable, clearly 6 and 7 are not, and they
conflict. The implication is that B.f must choose its behavior
according to the type of the contained C++ object. If it is Bcb, a
non-virtual call to B::f must occur. Otherwise, a virtual call to B::f
must occur. This is essentially the same scheme we had with
Boost.Python v1.
Note: in early versions of Boost.Python v1, we solved this problem by
introducing a new Python class in the hierarchy, so that D and E
actually derive from a B', and B'.f invokes B::f non-virtually, while
B.f invokes B::f virtually. However, people complained about the
artificial class in the hierarchy, which was revealed when they tried
to do normal kinds of Python introspection.
-------
Assumption: we will have a function which builds a virtual function
dispatch callable Python object.
make_virtual_function(pvmf, default_impl, call_policies, dispatch_type)
Pseudocode:
Get first argument from Python arg tuple
if it contains dispatch_type
call default_impl
else
call through pvmf
Open questions:
1. What about Python multiple inheritance? Do we have the right
check in the if clause above?
A: Not quite. The correct test looks like:
Deduce target type of pvmf, i.e. T in R(T::*)(A1...AN).
Find holder in first argument which holds T
if it holds dispatch_type...
2. Can we make this more efficient?
The current "returning" mechanism will look up a holder for T
again. I don't know if we know how to avoid that.
OK, the solution involves reworking the call mechanism. This is
neccesary anyway in order to enable wrapping of function objects.
It can result in a reduction in the overall amount of source code,
because returning<> won't need to be specialized for every
combination of function and member function... though it will still
need a void specialization. We will still need a way to dispatch to
member functions through a regular function interface. mem_fn is
almost the right tool, but it only goes up to 8
arguments. Forwarding is tricky if you don't want to incur copies.
I think the trick is to use arg_from_python<T>::result_type for each
argument to the forwarder.
Another option would be to use separate function, function object,
and member function dispatchers. Once you know you have a member
function, you don't need cv-qualified overloads to call it.
Hmm, while we're at this, maybe we should solve the write-back
converter problem. Can we do it? Maybe not. Ralf doesn't want to
write special write-back functions here, does he? He wants the
converter to do the work automatically. We could add
cleanup/destructor registration. That would relieve the client from
having accessible destructors for types which are being converted by
rvalue. I'm not sure that this will really save any code,
however. It rather depends on the linker, doesn't it? I wonder if
this can be done in a backwards-compatible fashion by generating the
delete function when it's not supplied?

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@@ -1,436 +0,0 @@
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<h1 align="center"><a href="index.html">Boost.Python</a></h1>
<h2 align="center">Projects using Boost.Python</h2>
</td>
</tr>
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<hr>
<h2>Introduction</h2>
<p>This is a partial list of projects using Boost.Python. If you are
using Boost.Python as your Python/C++ binding solution, we'd be proud to
list your project on this page. Just <a href=
"mailto:c++-sig@python.org">post</a> a short description of your project
and how Boost.Python helps you get the job done, and we'll add it to this
page .</p>
<hr>
<h3>Data Analysis</h3>
<dl class="page-index">
<dt><b><a href=
"http://www.neuralynx.com">NeuraLab</a></b></dt>
<dd>Neuralab is a data analysis environment specifically tailored for
neural data from <a href="http://www.neuralynx.com">Neuralynx</a>
acquisition systems. Neuralab combines presentation quality graphics, a
numerical analysis library, and the <a href=
"http://www.python.org">Python</a> scripting engine in a single
application. With Neuralab, Neuralynx users can perform common analysis
tasks with just a few mouse clicks. More advanced users can create
custom Python scripts, which can optionally be assigned to menus and
mouse clicks.</dd>
</dl>
<dl class="page-index">
<dt><b>TSLib</b> - <a href="http://www.fortressinv.com">Fortress
Investment Group LLC</a></dt>
<dd>
Fortress Investment Group has contracted <a href=
"http://www.boost-consulting.com">Boost Consulting</a> to develop
core internal financial analysis tools in C++ and to prepare Python
bindings for them using Boost.Python.
<p>Tom Barket of Fortress writes:</p>
<blockquote>
We have a large C++ analytical library specialized for research in
finance and economics, built for speed and mission critical
stability. Yet Python offers us the flexibility to test out new
ideas quickly and increase the productivity of our time versus
working in C++. There are several key features which make Python
stand out. Its elegance, stability, and breadth of resources on the
web are all valuable, but the most important is its extensibility,
due to its open source transparency. Boost.Python makes Python
extensibility extremely simple and straightforward, yet preserves a
great deal of power and control.
</blockquote>
</dd>
</dl>
<h3>Educational</h3>
<dl class="page-index">
<dt><a href="http://edu.kde.org/kig"><b>Kig</b></a></dt>
<dd>
<p>KDE Interactive Geometry is a high-school level educational tool,
built for the KDE desktop. It is a nice tool to let students work
with geometrical constructions. It is meant to be the most intuitive,
yet featureful application of its kind.</p>
<p>Versions after 0.6.x (will) support objects built by the user
himself in the Python language. The exporting of the relevant
internal API's were done using Boost.Python, which made the process
very easy.</p>
</dd>
</dl>
<h3>Enterprise Software</h3>
<dl class="page-index">
<dt><b><a href="http://openwbem.sourceforge.net">OpenWBEM</a></b></dt>
<dd>
The OpenWBEM project is an effort to develop an open-source
implementation of Web Based Enterprise Management suitable for
commercial and non-commercial application
<p><a href="mailto:dnuffer@sco.com">Dan Nuffer</a> writes:</p>
<blockquote>
I'm using Boost.Python to wrap the client API of OpenWBEM.This will
make it easier to do rapid prototyping, testing, and scripting when
developing management solutions that use WBEM.
</blockquote>
</dd>
<dt><b><a href="http://www.transversal.com">Metafaq</a></b></dt>
<dd>
Metafaq, from <a href="http://www.transversal.com">Transversal,
Inc.</a>, is an enterprise level online knowledge base management
system.
<p><a href="mailto:ben.young-at-transversal.com">Ben Young</a>
writes:</p>
<blockquote>
Boost.Python is used in an automated process to generate python
bindings to our api which is exposed though multiple backends and
frontends. This allows us to write quick tests and bespoke scripts
to perform one off tasks without having to go through the full
compilation cycle.
</blockquote>
</dd>
</dl>
<h3>Games</h3>
<dl>
<dt><b><a href="http://www.firaxis.com">Civilization IV</a></b></dt>
</dl>
<blockquote>
“The fourth game in the PC strategy series that has
sold over five million copies, Sid Meier's Civilization IV is a bold
step forward for the franchise, with spectacular new 3D graphics and
all-new single and multiplayer content. Civilization IV will also set a
new standard for user-modification, allowing gamers to create their own
add-ons using Python and XML.
<p>Sid Meier's Civilization IV will be released for PC in late 2005.
For more information please visit <a href=
"http://www.firaxis.com">http://www.firaxis.com</a> or write <a href=
"mailto:kgilmore@firaxis.com">kgilmore@firaxis.com</a></p>
</blockquote>
<p>Boost.Python is used as the interface layer between the C++ game code
and Python. Python is used for many purposes in the game, including map
generation, interface screens, game events, tools, tutorials, etc. Most
high-level game operations have been exposed to Python in order to give
modders the power they need to customize the game.</p>
<blockquote>
-Mustafa Thamer, Civ4 Lead Programmer
</blockquote>
<dl class="page-index">
<dt><b><a href="http://vegastrike.sourceforge.net">Vega
Strike</a></b></dt>
<dd>
<a href="http://vegastrike.sourceforge.net">Vega Strike</a> is the 3D
Space Simulator that allows you to trade and bounty hunt in a vast
universe. Players face dangers, decisions, piracy, and aliens.
<p><a href="http://vegastrike.sourceforge.net">Vega Strike</a> has
decided to base its scripting on python, using boost as the layer
between the class hierarchy in python and the class hierarchy in C++.
The result is a very flexible scripting system that treats units as
native python classes when designing missions or writing AI's.</p>
<p>A large economic and planetary simulation is currently being run
in the background in python and the results are returned back into
C++ in the form of various factions' spaceships appearing near worlds
that they are simulated to be near in python if the player is in the
general neighborhood.</p>
</dd>
</dl>
<h3>Graphics</h3>
<dl class="page-index">
<dt><b><a href="http://sourceforge.net/projects/pyosg">OpenSceneGraph
Bindings</a></b></dt>
<dd><a href="mailto:gideon@computer.org">Gideon May</a> has created a
set of bindings for <a href=
"http://www.openscenegraph.org">OpenSceneGraph</a>, a cross-platform
C++/OpenGL library for the real-time visualization.<br>
&nbsp;</dd>
<dt><b><a href=
"http://www.slac.stanford.edu/grp/ek/hippodraw/index.html">HippoDraw</a></b></dt>
<dd>
HippoDraw is a data analysis environment consisting of a canvas upon
which graphs such as histograms, scattter plots, etc, are prsented.
It has a highly interactive GUI interface, but some things you need
to do with scripts. HippoDraw can be run as Python extension module
so that all the manipulation can be done from either Python or the
GUI.
<p>Before the web page came online, <a href=
"mailto:Paul_Kunz@SLAC.Stanford.EDU">Paul F. Kunz</a> wrote:</p>
<blockquote>
Don't have a web page for the project, but the organization's is <a
href=
"http://www.slac.stanford.edu">http://www.slac.stanford.edu</a>
(the first web server site in America, I installed it).
</blockquote>
Which was just too cool a piece of trivia to omit.<br>
&nbsp;
</dd>
<dt><a href="http://www.iplt.org"><b>IPLT</b></a></dt>
<dd>
<a href="mailto:ansgar.philippsen-at-unibas.ch">Ansgar Philippsen</a>
writes:
<blockquote>
IPLT is an image processing library and toolbox for the structural
biology electron microscopy community. I would call it a
budding/evolving project, since it is currently not in production
stage, but rather under heavy development. Python is used as the
main scripting/interaction level, but also for rapid prototyping,
since the underlying C++ class library is pretty much fully exposed
via boost.python (at least the high-level interface). The combined
power of C++ and Python for this project turned out to be just
awesome.
</blockquote>
<br>
&nbsp;
</dd>
<dt><a href=
"http://www.procoders.net/pythonmagick"><b>PythonMagick</b></a></dt>
<dd>PythonMagick binds the <a href=
"http://www.graphicsmagick.org">GraphicsMagick</a> image manipulation
library to Python.<br>
&nbsp;</dd>
</dl>
<h3>Scientific Computing</h3>
<dl class="page index">
<dt><a href="http://camfr.sourceforge.net"><b>CAMFR</b></a></dt>
<dd>
CAMFR is a photonics and electromagnetics modelling tool. Python is
used for computational steering.
<p><a href="mailto:Peter.Bienstman@rug.ac.be">Peter Bienstman</a>
writes:</p>
<blockquote>
Thanks for providing such a great tool!
</blockquote>
</dd>
<dt><a href="http://cctbx.sourceforge.net"><b>cctbx - Computational
Crystallography Toolbox</b></a></dt>
<dd>
Computational Crystallography is concerned with the derivation of
atomic models of crystal structures, given experimental X-ray
diffraction data. The cctbx is an open-source library of fundamental
algorithms for crystallographic computations. The core algorithms are
implemented in C++ and accessed through higher-level Python
interfaces.
<p>The cctbx grew together with Boost.Python and is designed from the
ground up as a hybrid Python/C++ system. With one minor exception,
run-time polymorphism is completely handled by Python. C++
compile-time polymorphism is used to implement performance critical
algorithms. The Python and C++ layers are seamlessly integrated using
Boost.Python.</p>
<p>The SourceForge cctbx project is organized in modules to
facilitate use in non-crystallographic applications. The scitbx
module implements a general purpose array family for scientific
applications and pure C++ ports of FFTPACK and the LBFGS conjugate
gradient minimizer.</p>
</dd>
<dt><a href="http://www.llnl.gov/CASC/emsolve"><b>EMSolve</b></a></dt>
<dd>EMSolve is a provably stable, charge conserving, and energy
conserving solver for Maxwell's equations.<br>
&nbsp;</dd>
<dt><b><a href="http://cern.ch/gaudi">Gaudi</a></b> and <b><a href=
"http://cern.ch/Gaudi/RootPython/">RootPython</a></b></dt>
<dd>
Gaudi is a framework for particle physics collision data processing
applications developed in the context of the LHCb and ATLAS
experiments at CERN.
<p><a href="mailto:Pere.Mato@cern.ch">Pere Mato Vila</a> writes:</p>
<blockquote>
We are using Boost.Python to provide scripting/interactive
capability to our framework. We have a module called "GaudiPython"
implemented using Boost.Python that allows the interaction with any
framework service or algorithm from python. RootPython also uses
Boost.Python to provide a generic "gateway" between the <a href=
"http://root.cern.ch">ROOT</a> framework and python
<p>Boost.Python is great. We managed very quickly to interface our
framework to python, which is great language. We are trying to
facilitate to our physicists (end-users) a rapid analysis
application development environment based on python. For that,
Boost.Python plays and essential role.</p>
</blockquote>
</dd>
<dt><b><a href="http://www.esss.com.br">ESSS</a></b></dt>
<dd>
ESSS (Engineering Simulation and Scientific Software) is a company
that provides engineering solutions and acts in the brazilian and
south-american market providing products and services related to
Computational Fluid Dynamics and Image Analysis.
<p><a href="mailto:bruno@esss.com.br">Bruno da Silva de Oliveira</a>
writes:</p>
<blockquote>
Recently we moved our work from working exclusively with C++ to an
hybrid-language approach, using Python and C++, with Boost.Python
providing the layer between the two. The results are great so far!
</blockquote>
<p>Two projects have been developed so far with this technology:</p>
<p><b><a href="http://www.esss.com.br/index.php?pg=dev_projetos">Simba</a></b>
provides 3D visualization of geological formations gattered from the
simulation of the evolution of oil systems, allowing the user to
analyse various aspects of the simulation, like deformation, pressure
and fluids, along the time of the simulation.</p>
<p><b><a href="http://www.esss.com.br/index.php?pg=dev_projetos">Aero</a></b>
aims to construct a CFD with brazilian technology, which involves
various companies and universities. ESSS is responsible for various
of the application modules, including GUI and post-processing of
results.</p>
</dd>
<dt><b><a href="http://www.rationaldiscovery.com">Rational Discovery
LLC</a></b></dt>
<dd>
Rational Discovery provides computational modeling, combinatorial
library design and custom software development services to the
pharmaceutical, biotech and chemical industries. We do a substantial
amount of internal research to develop new approaches for applying
machine-learning techniques to solve chemical problems. Because we're
a small organization and chemistry is a large and complex field, it
is essential that we be able to quickly and easily prototype and test
new algorithms.
<p>For our internal software, we implement core data structures in C
and expose them to Python using Boost.Python. Algorithm development
is done in Python and then translated to C if required (often it's
not). This hybrid development approach not only greatly increases our
productivity, but it also allows "non-developers" (people without C
experience) to take part in method development. Learning C is a
daunting task, but "Python fits your brain." (Thanks to Bruce Eckel
for the quote.)</p>
</dd>
</dl>
<h3>Systems Libraries</h3>
<dl>
<dt><a href="http://itamarst.org/software"><b>Fusion</b></a></dt>
<dd>
<p>Fusion is a library that supports implementing protocols in C++
for use with Twisted, allowing control over memory allocation
strategies, fast method calls internally, etc.. Fusion supports TCP,
UDP and multicast, and is implemented using the Boost.Python python
bindings.</p>
<p>Fusion is licensed under the MIT license, and available for
download from <a href=
"http://itamarst.org/software">http://itamarst.org/software</a>.</p>
</dd>
</dl>
<h3>Tools</h3>
<dl>
<dt><a href="http://www.jayacard.org"><b>Jayacard</b></a></dt>
<dd>
Jayacard aims at developing a secure portable open source operating
system for contactless smart cards and a complete suite of high
quality development tools to ease smart card OS and application
development.
<p>The core of the smart card reader management is written in C++ but
all the development tools are written in the friendly Python
language. Boost plays the fundamental role of binding the tools to
our core smart card reader library.</p>
</dd>
</dl>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
15 July, 2003</p>
<p><i>&copy; Copyright <a href="../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002-2003.</i></p>
</body>
</html>

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@@ -1,71 +0,0 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Cygwin (vers 1st April 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="boost.css">
<title>Boost.Python - Support Resources</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="index.html">Boost.Python</a></h1>
<h2 align="center">Support Resources</h2>
</td>
</tr>
</table>
<hr>
<h2>Synopsis</h2>
<p>This is a list of available resources for support with Boost.Python
problems and feature requests. <b>Please try to resist emailing the
Boost.Python developers directly for support.</b> Use the following
resources instead; the developers are listening!</p>
<hr>
<dl class="page-index">
<dt><b><a href="http://www.boost-consulting.com">Boost
Consulting</a></b> - Commercial support, development, training, and
distribution for all the Boost libraries, from the people who brought
you Boost.Python.<br>
&nbsp;</dt>
<dt><b><a href=
"http://www.boost.org/more/mailing_lists.htm#cplussig">The Python
C++-sig</a></b> mailing list is a forum for discussing Python/C++
interoperability, and Boost.Python in particular. Post your
Boost.Python questions here.<br>
&nbsp;</dt>
<dt>The <b>Boost.Python <a href=
"http://www.python.org/cgi-bin/moinmoin/boost_2epython">Wiki
Pages</a></b> established by Mike Rovner as part of the <a href=
"http://www.python.org/cgi-bin/moinmoin">PythonInfo Wiki</a> serves as
a forum to gather peoples' experience and as a cookbook.<br>
&nbsp;</dt>
</dl>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
12 Sept, 2003 <!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2003.</i></p>
</body>
</html>

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@@ -1,12 +0,0 @@
project boost/libs/python/doc/tutorial/doc ;
import boostbook : boostbook ;
using quickbook ;
boostbook tutorial
:
tutorial.qbk
:
<xsl:param>boost.root=../../../../../..
<xsl:param>boost.libraries=../../../../../../libs/libraries.htm
;

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@@ -1,430 +0,0 @@
/*=============================================================================
Copyright (c) 2004 Joel de Guzman
http://spirit.sourceforge.net/
Use, modification and distribution is subject to 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)
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Body defaults
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/*=============================================================================
Program listings
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pre.synopsis
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.programlisting,
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{
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display: block;
margin: 1pc 4% 0pc 4%;
padding: 0.5pc 0.5pc 0.5pc 0.5pc;
}
/*=============================================================================
Headings
=============================================================================*/
h1,
h2,
h3,
h4,
h5,
h6
{
text-align: left;
margin-top: 2pc;
}
h1 { font: 170% }
h2 { font: bold 140% }
h3 { font: bold 120% }
h4 { font: bold 100% }
h5 { font: italic 100% }
h6 { font: italic 100% }
/* Top page titles */
title,
h1.title,
h2.title
h3.title,
h4.title,
h5.title,
h6.title,
.refentrytitle
{
font-weight: bold;
margin-bottom: 1pc;
}
h1.title { font-size: 220% }
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h3.title { font-size: 170% }
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/*=============================================================================
Lists
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li
{
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}
/* Unordered lists */
ul
{
text-align: justify;
}
/* Ordered lists */
ol
{
text-align: justify;
}
/*=============================================================================
Links
=============================================================================*/
a
{
text-decoration: none; /* no underline */
}
a:hover
{
text-decoration: underline;
}
/*=============================================================================
Spirit style navigation
=============================================================================*/
.spirit-nav
{
text-align: right;
}
.spirit-nav a
{
color: white;
padding-left: 0.5em;
}
.spirit-nav img
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Table of contents
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1">
<title>Chapter 1. python 1.0</title>
<link rel="stylesheet" href="boostbook.css" type="text/css">
<meta name="generator" content="DocBook XSL Stylesheets V1.66.1">
<link rel="start" href="index.html" title="Chapter 1. python 1.0">
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<td valign="top"><img alt="boost.png (6897 bytes)" width="277" height="86" src="../../../../../../boost.png"></td>
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<td align="center"><a href="../../../../../../people/people.htm">People</a></td>
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<div class="chapter" lang="en">
<div class="titlepage"><div>
<div><h2 class="title">
<a name="python"></a>Chapter 1. python 1.0</h2></div>
<div><div class="author"><h3 class="author">
<span class="firstname">Joel</span> <span class="surname">de Guzman</span>
</h3></div></div>
<div><div class="author"><h3 class="author">
<span class="firstname">David</span> <span class="surname">Abrahams</span>
</h3></div></div>
<div><p class="copyright">Copyright © 2002-2005 Joel de Guzman, David Abrahams</p></div>
<div><div class="legalnotice">
<a name="id442427"></a><p>
Distributed under the Boost Software License, Version 1.0.
(See accompanying file LICENSE_1_0.txt or copy at
<a href="http://www.boost.org/LICENSE_1_0.txt" target="_top">
http://www.boost.org/LICENSE_1_0.txt
</a>)
</p>
</div></div>
</div></div>
<div class="toc">
<p><b>Table of Contents</b></p>
<dl>
<dt><span class="section"><a href="index.html#python.quickstart">QuickStart</a></span></dt>
<dt><span class="section"><a href="python/hello.html"> Building Hello World</a></span></dt>
<dt><span class="section"><a href="python/exposing.html"> Exposing Classes</a></span></dt>
<dd><dl>
<dt><span class="section"><a href="python/exposing.html#python.constructors">Constructors</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.class_data_members">Class Data Members</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.class_properties">Class Properties</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.inheritance">Inheritance</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.class_virtual_functions">Class Virtual Functions</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.virtual_functions_with_default_implementations">Virtual Functions with Default Implementations</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.class_operators_special_functions">Class Operators/Special Functions</a></span></dt>
</dl></dd>
<dt><span class="section"><a href="python/functions.html">Functions</a></span></dt>
<dd><dl>
<dt><span class="section"><a href="python/functions.html#python.call_policies">Call Policies</a></span></dt>
<dt><span class="section"><a href="python/functions.html#python.overloading">Overloading</a></span></dt>
<dt><span class="section"><a href="python/functions.html#python.default_arguments">Default Arguments</a></span></dt>
<dt><span class="section"><a href="python/functions.html#python.auto_overloading">Auto-Overloading</a></span></dt>
</dl></dd>
<dt><span class="section"><a href="python/object.html"> Object Interface</a></span></dt>
<dd><dl>
<dt><span class="section"><a href="python/object.html#python.basic_interface">Basic Interface</a></span></dt>
<dt><span class="section"><a href="python/object.html#python.derived_object_types">Derived Object types</a></span></dt>
<dt><span class="section"><a href="python/object.html#python.extracting_c___objects">Extracting C++ objects</a></span></dt>
<dt><span class="section"><a href="python/object.html#python.enums">Enums</a></span></dt>
</dl></dd>
<dt><span class="section"><a href="python/embedding.html">Embedding</a></span></dt>
<dd><dl><dt><span class="section"><a href="python/embedding.html#python.using_the_interpreter">Using the interpreter</a></span></dt></dl></dd>
<dt><span class="section"><a href="python/iterators.html">Iterators</a></span></dt>
<dt><span class="section"><a href="python/exception.html"> Exception Translation</a></span></dt>
<dt><span class="section"><a href="python/techniques.html"> General Techniques</a></span></dt>
<dd><dl>
<dt><span class="section"><a href="python/techniques.html#python.creating_packages">Creating Packages</a></span></dt>
<dt><span class="section"><a href="python/techniques.html#python.extending_wrapped_objects_in_python">Extending Wrapped Objects in Python</a></span></dt>
<dt><span class="section"><a href="python/techniques.html#python.reducing_compiling_time">Reducing Compiling Time</a></span></dt>
</dl></dd>
</dl>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.quickstart"></a>QuickStart</h2></div></div></div>
<p>
The Boost Python Library is a framework for interfacing Python and
C++. It allows you to quickly and seamlessly expose C++ classes
functions and objects to Python, and vice-versa, using no special
tools -- just your C++ compiler. It is designed to wrap C++ interfaces
non-intrusively, so that you should not have to change the C++ code at
all in order to wrap it, making Boost.Python ideal for exposing
3rd-party libraries to Python. The library's use of advanced
metaprogramming techniques simplifies its syntax for users, so that
wrapping code takes on the look of a kind of declarative interface
definition language (IDL).</p>
<a name="quickstart.hello_world"></a><h2>
<a name="id372086"></a>Hello World</h2>
<p>
Following C/C++ tradition, let's start with the "hello, world". A C++
Function:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">char</span><span class="keyword"> const</span><span class="special">*</span><span class="identifier"> greet</span><span class="special">()</span><span class="special">
{</span><span class="keyword">
return</span><span class="string"> "hello, world"</span><span class="special">;</span><span class="special">
}</span></tt></pre>
<p>
can be exposed to Python by writing a Boost.Python wrapper:</p>
<pre class="programlisting"><tt class="literal"><span class="preprocessor">#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="keyword">
using</span><span class="keyword"> namespace</span><span class="identifier"> boost</span><span class="special">::</span><span class="identifier">python</span><span class="special">;</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">hello</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
def</span><span class="special">(</span><span class="string">"greet"</span><span class="special">,</span><span class="identifier"> greet</span><span class="special">);</span><span class="special">
}</span></tt></pre>
<p>
That's it. We're done. We can now build this as a shared library. The
resulting DLL is now visible to Python. Here's a sample Python session:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> hello</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> print</span><span class="identifier"> hello</span><span class="special">.</span><span class="identifier">greet</span><span class="special">()</span><span class="identifier">
hello</span><span class="special">,</span><span class="identifier"> world</span></tt></pre>
<p></p>
<div class="blockquote"><blockquote class="blockquote"><p><span class="emphasis"><em><span class="bold"><b>Next stop... Building your Hello World module from start to finish...</b></span></em></span></p></blockquote></div>
</div>
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"><small><p>Last revised: July 12, 2005 at 07:50:43 GMT</p></small></td>
<td align="right"><small></small></td>
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<head>
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<title>Embedding</title>
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<meta name="generator" content="DocBook XSL Stylesheets V1.66.1">
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<td align="center"><a href="../../../../../../../people/people.htm">People</a></td>
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.embedding"></a>Embedding</h2></div></div></div>
<div class="toc"><dl><dt><span class="section"><a href="embedding.html#python.using_the_interpreter">Using the interpreter</a></span></dt></dl></div>
<p>
By now you should know how to use Boost.Python to call your C++ code from
Python. However, sometimes you may need to do the reverse: call Python code
from the C++-side. This requires you to <span class="emphasis"><em>embed</em></span> the Python interpreter
into your C++ program.</p>
<p>
Currently, Boost.Python does not directly support everything you'll need
when embedding. Therefore you'll need to use the
<a href="http://www.python.org/doc/current/api/api.html" target="_top">Python/C API</a> to fill in
the gaps. However, Boost.Python already makes embedding a lot easier and,
in a future version, it may become unnecessary to touch the Python/C API at
all. So stay tuned... <span class="inlinemediaobject"><img src="../images/smiley.png"></span></p>
<a name="embedding.building_embedded_programs"></a><h2>
<a name="id456196"></a>Building embedded programs</h2>
<p>
To be able to use embedding in your programs, they have to be linked to
both Boost.Python's and Python's static link library.</p>
<p>
Boost.Python's static link library comes in two variants. Both are located
in Boost's <tt class="literal">/libs/python/build/bin-stage</tt> subdirectory. On Windows, the
variants are called <tt class="literal">boost_python.lib</tt> (for release builds) and
<tt class="literal">boost_python_debug.lib</tt> (for debugging). If you can't find the libraries,
you probably haven't built Boost.Python yet. See
<a href="../../../../building.html" target="_top">Building and Testing</a> on how to do this.</p>
<p>
Python's static link library can be found in the <tt class="literal">/libs</tt> subdirectory of
your Python directory. On Windows it is called pythonXY.lib where X.Y is
your major Python version number.</p>
<p>
Additionally, Python's <tt class="literal">/include</tt> subdirectory has to be added to your
include path.</p>
<p>
In a Jamfile, all the above boils down to:</p>
<pre class="programlisting"><tt class="literal">projectroot c:\projects\embedded_program ; # location of the program
# bring in the rules for python
SEARCH on python.jam = $(BOOST_BUILD_PATH) ;
include python.jam ;
exe embedded_program # name of the executable
: #sources
embedded_program.cpp
: # requirements
&lt;find-library&gt;boost_python &lt;library-path&gt;c:\boost\libs\python
$(PYTHON_PROPERTIES)
&lt;library-path&gt;$(PYTHON_LIB_PATH)
&lt;find-library&gt;$(PYTHON_EMBEDDED_LIBRARY) ;
</tt></pre>
<a name="embedding.getting_started"></a><h2>
<a name="id456277"></a>Getting started</h2>
<p>
Being able to build is nice, but there is nothing to build yet. Embedding
the Python interpreter into one of your C++ programs requires these 4
steps:</p>
<div class="orderedlist"><ol type="1">
<li>
#include <tt class="literal">&lt;boost/python.hpp&gt;</tt><br><br>
</li>
<li>
Call <a href="http://www.python.org/doc/current/api/initialization.html#l2h-652" target="_top">Py_Initialize</a>() to start the interpreter and create the <tt class="literal"><span class="underline">_main</span>_</tt> module.<br><br>
</li>
<li>
Call other Python C API routines to use the interpreter.<br><br>
</li>
<li>
Call <a href="http://www.python.org/doc/current/api/initialization.html#l2h-656" target="_top">Py_Finalize</a>() to stop the interpreter and release its resources.
</li>
</ol></div>
<p>
(Of course, there can be other C++ code between all of these steps.)</p>
<div class="blockquote"><blockquote class="blockquote"><p><span class="emphasis"><em><span class="bold"><b>Now that we can embed the interpreter in our programs, lets see how to put it to use...</b></span></em></span></p></blockquote></div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.using_the_interpreter"></a>Using the interpreter</h3></div></div></div>
<p>
As you probably already know, objects in Python are reference-counted.
Naturally, the <tt class="literal">PyObject</tt>s of the Python/C API are also reference-counted.
There is a difference however. While the reference-counting is fully
automatic in Python, the Python/C API requires you to do it
<a href="http://www.python.org/doc/current/api/refcounts.html" target="_top">by hand</a>. This is
messy and especially hard to get right in the presence of C++ exceptions.
Fortunately Boost.Python provides the <a href="../../../../v2/handle.html" target="_top">handle</a> and
<a href="../../../../v2/object.html" target="_top">object</a> class templates to automate the process.</p>
<a name="using_the_interpreter.reference_counting_handles_and_objects"></a><h2>
<a name="id456409"></a>Reference-counting handles and objects</h2>
<p>
There are two ways in which a function in the Python/C API can return a
<tt class="literal">PyObject*</tt>: as a <span class="emphasis"><em>borrowed reference</em></span> or as a <span class="emphasis"><em>new reference</em></span>. Which of
these a function uses, is listed in that function's documentation. The two
require slightely different approaches to reference-counting but both can
be 'handled' by Boost.Python.</p>
<p>
For a function returning a <span class="emphasis"><em>borrowed reference</em></span> we'll have to tell the
<tt class="literal">handle</tt> that the <tt class="literal">PyObject*</tt> is borrowed with the aptly named
<a href="../../../../v2/handle.html#borrowed-spec" target="_top">borrowed</a> function. Two functions
returning borrowed references are <a href="http://www.python.org/doc/current/api/importing.html#l2h-125" target="_top">PyImport_AddModule</a> and <a href="http://www.python.org/doc/current/api/moduleObjects.html#l2h-594" target="_top">PyModule_GetDict</a>.
The former returns a reference to an already imported module, the latter
retrieves a module's namespace dictionary. Let's use them to retrieve the
namespace of the <tt class="literal"><span class="underline">_main</span>_</tt> module:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> main_module</span><span class="special">((</span><span class="identifier">
handle</span><span class="special">&lt;&gt;(</span><span class="identifier">borrowed</span><span class="special">(</span><a href="http://www.python.org/doc/current/api/importing.html#l2h-125" target="_top">PyImport_AddModule</a><span class="special">(</span><span class="string">"__main__"</span><span class="special">)))));</span><span class="identifier">
object</span><span class="identifier"> main_namespace</span><span class="special"> =</span><span class="identifier"> main_module</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"__dict__"</span><span class="special">);</span></tt></pre>
<p>
For a function returning a <span class="emphasis"><em>new reference</em></span> we can just create a <tt class="literal">handle</tt>
out of the raw <tt class="literal">PyObject*</tt> without wrapping it in a call to borrowed. One
such function that returns a new reference is <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a> which we'll
discuss in the next section.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>Handle is a class <span class="emphasis"><em>template</em></span>, so why haven't we been using any template parameters?</b></span><br><br><tt class="literal">handle</tt> has a single template parameter specifying the type of the managed object. This type is <tt class="literal">PyObject</tt> 99% of the time, so the parameter was defaulted to <tt class="literal">PyObject</tt> for convenience. Therefore we can use the shorthand <tt class="literal">handle&lt;&gt;</tt> instead of the longer, but equivalent, <tt class="literal">handle&lt;PyObject&gt;</tt>.
</td></tr></tbody>
</table></div>
<a name="using_the_interpreter.running_python_code"></a><h2>
<a name="id456714"></a>Running Python code</h2>
<p>
To run Python code from C++ there is a family of functions in the API
starting with the PyRun prefix. You can find the full list of these
functions <a href="http://www.python.org/doc/current/api/veryhigh.html" target="_top">here</a>. They
all work similarly so we will look at only one of them, namely:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">PyObject</span><span class="special">*</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="keyword">char</span><span class="special"> *</span><span class="identifier">str</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> start</span><span class="special">,</span><span class="identifier"> PyObject</span><span class="special"> *</span><span class="identifier">globals</span><span class="special">,</span><span class="identifier"> PyObject</span><span class="special"> *</span><span class="identifier">locals</span><span class="special">)</span></tt></pre>
<p><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a> takes the code to execute as a null-terminated (C-style)
string in its <tt class="literal">str</tt> parameter. The function returns a new reference to a
Python object. Which object is returned depends on the <tt class="literal">start</tt> paramater.</p>
<p>
The <tt class="literal">start</tt> parameter is the start symbol from the Python grammar to use
for interpreting the code. The possible values are:</p>
<div class="informaltable">
<h4>
<a name="id456876"></a><span class="table-title">Start symbols</span>
</h4>
<table class="table">
<colgroup>
<col>
<col>
</colgroup>
<thead><tr>
<th><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a></th>
<th>for interpreting isolated expressions</th>
</tr></thead>
<tbody>
<tr>
<td><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59" target="_top">Py_file_input</a></td>
<td>for interpreting sequences of statements</td>
</tr>
<tr>
<td><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-60" target="_top">Py_single_input</a></td>
<td>for interpreting a single statement</td>
</tr>
</tbody>
</table>
</div>
<p>
When using <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a>, the input string must contain a single expression
and its result is returned. When using <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59" target="_top">Py_file_input</a>, the string can
contain an abitrary number of statements and None is returned.
<a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-60" target="_top">Py_single_input</a> works in the same way as <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59" target="_top">Py_file_input</a> but only accepts a
single statement.</p>
<p>
Lastly, the <tt class="literal">globals</tt> and <tt class="literal">locals</tt> parameters are Python dictionaries
containing the globals and locals of the context in which to run the code.
For most intents and purposes you can use the namespace dictionary of the
<tt class="literal"><span class="underline">_main</span>_</tt> module for both parameters.</p>
<p>
We have already seen how to get the <tt class="literal"><span class="underline">_main</span>_</tt> module's namespace so let's
run some Python code in it:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> main_module</span><span class="special">((</span><span class="identifier">
handle</span><span class="special">&lt;&gt;(</span><span class="identifier">borrowed</span><span class="special">(</span><a href="http://www.python.org/doc/current/api/importing.html#l2h-125" target="_top">PyImport_AddModule</a><span class="special">(</span><span class="string">"__main__"</span><span class="special">)))));</span><span class="identifier">
object</span><span class="identifier"> main_namespace</span><span class="special"> =</span><span class="identifier"> main_module</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"__dict__"</span><span class="special">);</span><span class="identifier">
handle</span><span class="special">&lt;&gt;</span><span class="identifier"> ignored</span><span class="special">((</span><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="string">
"hello = file('hello.txt', 'w')\n"</span><span class="string">
"hello.write('Hello world!')\n"</span><span class="string">
"hello.close()"</span><span class="special">
,</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59" target="_top">Py_file_input</a><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()</span><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">())</span><span class="special">
));</span></tt></pre>
<p>
Because the Python/C API doesn't know anything about <tt class="literal">object</tt>s, we used
the object's <tt class="literal">ptr</tt> member function to retrieve the <tt class="literal">PyObject*</tt>.</p>
<p>
This should create a file called 'hello.txt' in the current directory
containing a phrase that is well-known in programming circles.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>Note</b></span> that we wrap the return value of <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a> in a
(nameless) <tt class="literal">handle</tt> even though we are not interested in it. If we didn't
do this, the the returned object would be kept alive unnecessarily. Unless
you want to be a Dr. Frankenstein, always wrap <tt class="literal">PyObject*</tt>s in <tt class="literal">handle</tt>s.
</td></tr></tbody>
</table></div>
<a name="using_the_interpreter.beyond_handles"></a><h2>
<a name="id457324"></a>Beyond handles</h2>
<p>
It's nice that <tt class="literal">handle</tt> manages the reference counting details for us, but
other than that it doesn't do much. Often we'd like to have a more useful
class to manipulate Python objects. But we have already seen such a class
above, and in the <a href="object.html" target="_top">previous section</a>: the aptly
named <tt class="literal">object</tt> class and it's derivatives. We've already seen that they
can be constructed from a <tt class="literal">handle</tt>. The following examples should further
illustrate this fact:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> main_module</span><span class="special">((</span><span class="identifier">
handle</span><span class="special">&lt;&gt;(</span><span class="identifier">borrowed</span><span class="special">(</span><a href="http://www.python.org/doc/current/api/importing.html#l2h-125" target="_top">PyImport_AddModule</a><span class="special">(</span><span class="string">"__main__"</span><span class="special">)))));</span><span class="identifier">
object</span><span class="identifier"> main_namespace</span><span class="special"> =</span><span class="identifier"> main_module</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"__dict__"</span><span class="special">);</span><span class="identifier">
handle</span><span class="special">&lt;&gt;</span><span class="identifier"> ignored</span><span class="special">((</span><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="string">
"result = 5 ** 2"</span><span class="special">
,</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59" target="_top">Py_file_input</a><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()</span><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">())</span><span class="special">
));</span><span class="keyword">
int</span><span class="identifier"> five_squared</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;(</span><span class="identifier">main_namespace</span><span class="special">[</span><span class="string">"result"</span><span class="special">]);</span></tt></pre>
<p>
Here we create a dictionary object for the <tt class="literal"><span class="underline">_main</span>_</tt> module's namespace.
Then we assign 5 squared to the result variable and read this variable from
the dictionary. Another way to achieve the same result is to let
<a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a> return the result directly with <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a>:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> result</span><span class="special">((</span><span class="identifier">handle</span><span class="special">&lt;&gt;(</span>
    <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="string">"5 ** 2"</span><span class="special">
,</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()</span><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()))</span><span class="special">
));</span><span class="keyword">
int</span><span class="identifier"> five_squared</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;(</span><span class="identifier">result</span><span class="special">);</span></tt></pre>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>Note</b></span> that <tt class="literal">object</tt>'s member function to return the wrapped
<tt class="literal">PyObject*</tt> is called <tt class="literal">ptr</tt> instead of <tt class="literal">get</tt>. This makes sense if you
take into account the different functions that <tt class="literal">object</tt> and <tt class="literal">handle</tt>
perform.
</td></tr></tbody>
</table></div>
<a name="using_the_interpreter.exception_handling"></a><h2>
<a name="id457906"></a>Exception handling</h2>
<p>
If an exception occurs in the execution of some Python code, the <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a>
function returns a null pointer. Constructing a <tt class="literal">handle</tt> out of this null
pointer throws <a href="../../../../v2/errors.html#error_already_set-spec" target="_top">error_already_set</a>,
so basically, the Python exception is automatically translated into a
C++ exception when using <tt class="literal">handle</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">try</span><span class="special">
{</span><span class="identifier">
object</span><span class="identifier"> result</span><span class="special">((</span><span class="identifier">handle</span><span class="special">&lt;&gt;(</span><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="string">
"5/0"</span><span class="special">
,</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()</span><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()))</span><span class="special">
));</span><span class="comment">
// execution will never get here:
</span><span class="keyword"> int</span><span class="identifier"> five_divided_by_zero</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;(</span><span class="identifier">result</span><span class="special">);</span><span class="special">
}</span><span class="keyword">
catch</span><span class="special">(</span><span class="identifier">error_already_set</span><span class="special">)</span><span class="special">
{</span><span class="comment">
// handle the exception in some way
</span><span class="special">}</span></tt></pre>
<p>
The <tt class="literal">error_already_set</tt> exception class doesn't carry any information in itself.
To find out more about the Python exception that occurred, you need to use the
<a href="http://www.python.org/doc/api/exceptionHandling.html" target="_top">exception handling functions</a>
of the Python/C API in your catch-statement. This can be as simple as calling
<a href="http://www.python.org/doc/api/exceptionHandling.html#l2h-70" target="_top">PyErr_Print()</a> to
print the exception's traceback to the console, or comparing the type of the
exception with those of the <a href="http://www.python.org/doc/api/standardExceptions.html" target="_top">standard exceptions</a>:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">catch</span><span class="special">(</span><span class="identifier">error_already_set</span><span class="special">)</span><span class="special">
{</span><span class="keyword">
if</span><span class="special"> (</span><span class="identifier">PyErr_ExceptionMatches</span><span class="special">(</span><span class="identifier">PyExc_ZeroDivisionError</span><span class="special">))</span><span class="special">
{</span><span class="comment">
// handle ZeroDivisionError specially
</span><span class="special"> }</span><span class="keyword">
else</span><span class="special">
{</span><span class="comment">
// print all other errors to stderr
</span><span class="identifier"> PyErr_Print</span><span class="special">();</span><span class="special">
}</span><span class="special">
}</span></tt></pre>
<p>
(To retrieve even more information from the exception you can use some of the other
exception handling functions listed <a href="http://www.python.org/doc/api/exceptionHandling.html" target="_top">here</a>.)</p>
<p>
If you'd rather not have <tt class="literal">handle</tt> throw a C++ exception when it is constructed, you
can use the <a href="../../../../v2/handle.html#allow_null-spec" target="_top">allow_null</a> function in the same
way you'd use borrowed:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">handle</span><span class="special">&lt;&gt;</span><span class="identifier"> result</span><span class="special">((</span><span class="identifier">allow_null</span><span class="special">(</span><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="string">
"5/0"</span><span class="special">
,</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()</span><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()))));</span><span class="keyword">
if</span><span class="special"> (!</span><span class="identifier">result</span><span class="special">)</span><span class="comment">
// Python exception occurred
</span><span class="keyword">else</span><span class="comment">
// everything went okay, it's safe to use the result
</span></tt></pre>
</div>
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
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<td align="right"><small>Copyright © 2002-2005 Joel de Guzman, David Abrahams</small></td>
</tr></table>
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<a name="python.exception"></a> Exception Translation</h2></div></div></div>
<p>
All C++ exceptions must be caught at the boundary with Python code. This
boundary is the point where C++ meets Python. Boost.Python provides a
default exception handler that translates selected standard exceptions,
then gives up:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">raise</span><span class="identifier"> RuntimeError</span><span class="special">,</span><span class="char"> 'unidentifiable C++ Exception'</span></tt></pre>
<p>
Users may provide custom translation. Here's an example:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> PodBayDoorException</span><span class="special">;</span><span class="keyword">
void</span><span class="identifier"> translator</span><span class="special">(</span><span class="identifier">PodBayDoorException</span><span class="keyword"> const</span><span class="special">&amp;</span><span class="identifier"> x</span><span class="special">)</span><span class="special"> {</span><span class="identifier">
PyErr_SetString</span><span class="special">(</span><span class="identifier">PyExc_UserWarning</span><span class="special">,</span><span class="string"> "I'm sorry Dave..."</span><span class="special">);</span><span class="special">
}</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">kubrick</span><span class="special">)</span><span class="special"> {</span><span class="identifier">
register_exception_translator</span><span class="special">&lt;</span><span class="identifier">
PodBayDoorException</span><span class="special">&gt;(</span><span class="identifier">translator</span><span class="special">);</span><span class="special">
...</span></tt></pre>
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@@ -1,476 +0,0 @@
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.exposing"></a> Exposing Classes</h2></div></div></div>
<div class="toc"><dl>
<dt><span class="section"><a href="exposing.html#python.constructors">Constructors</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.class_data_members">Class Data Members</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.class_properties">Class Properties</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.inheritance">Inheritance</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.class_virtual_functions">Class Virtual Functions</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.virtual_functions_with_default_implementations">Virtual Functions with Default Implementations</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.class_operators_special_functions">Class Operators/Special Functions</a></span></dt>
</dl></div>
<p>
Now let's expose a C++ class to Python.</p>
<p>
Consider a C++ class/struct that we want to expose to Python:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> World</span><span class="special">
{</span><span class="keyword">
void</span><span class="identifier"> set</span><span class="special">(</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> msg</span><span class="special">)</span><span class="special"> {</span><span class="keyword"> this</span><span class="special">-&gt;</span><span class="identifier">msg</span><span class="special"> =</span><span class="identifier"> msg</span><span class="special">;</span><span class="special"> }</span><span class="identifier">
std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> greet</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="identifier"> msg</span><span class="special">;</span><span class="special"> }</span><span class="identifier">
std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> msg</span><span class="special">;</span><span class="special">
};</span></tt></pre>
<p>
We can expose this to Python by writing a corresponding Boost.Python
C++ Wrapper:</p>
<pre class="programlisting"><tt class="literal"><span class="preprocessor">#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="keyword">
using</span><span class="keyword"> namespace</span><span class="identifier"> boost</span><span class="special">::</span><span class="identifier">python</span><span class="special">;</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">hello</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">World</span><span class="special">&gt;(</span><span class="string">"World"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"greet"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">greet</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"set"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">set</span><span class="special">)</span><span class="special">
;</span><span class="special">
}</span></tt></pre>
<p>
Here, we wrote a C++ class wrapper that exposes the member functions
<tt class="literal">greet</tt> and <tt class="literal">set</tt>. Now, after building our module as a shared library, we
may use our class <tt class="literal">World</tt> in Python. Here's a sample Python session:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> hello</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> planet</span><span class="special"> =</span><span class="identifier"> hello</span><span class="special">.</span><span class="identifier">World</span><span class="special">()</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> planet</span><span class="special">.</span><span class="identifier">set</span><span class="special">(</span><span class="string">'howdy'</span><span class="special">)</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> planet</span><span class="special">.</span><span class="identifier">greet</span><span class="special">()</span><span class="string">
'howdy'</span></tt></pre>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.constructors"></a>Constructors</h3></div></div></div>
<p>
Our previous example didn't have any explicit constructors.
Since <tt class="literal">World</tt> is declared as a plain struct, it has an implicit default
constructor. Boost.Python exposes the default constructor by default,
which is why we were able to write</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> planet</span><span class="special"> =</span><span class="identifier"> hello</span><span class="special">.</span><span class="identifier">World</span><span class="special">()</span></tt></pre>
<p>
We may wish to wrap a class with a non-default constructor. Let us
build on our previous example:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> World</span><span class="special">
{</span><span class="identifier">
World</span><span class="special">(</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> msg</span><span class="special">):</span><span class="identifier"> msg</span><span class="special">(</span><span class="identifier">msg</span><span class="special">)</span><span class="special"> {}</span><span class="comment"> // added constructor
</span><span class="keyword"> void</span><span class="identifier"> set</span><span class="special">(</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> msg</span><span class="special">)</span><span class="special"> {</span><span class="keyword"> this</span><span class="special">-&gt;</span><span class="identifier">msg</span><span class="special"> =</span><span class="identifier"> msg</span><span class="special">;</span><span class="special"> }</span><span class="identifier">
std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> greet</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="identifier"> msg</span><span class="special">;</span><span class="special"> }</span><span class="identifier">
std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> msg</span><span class="special">;</span><span class="special">
};</span></tt></pre>
<p>
This time <tt class="literal">World</tt> has no default constructor; our previous
wrapping code would fail to compile when the library tried to expose
it. We have to tell <tt class="literal">class_&lt;World&gt;</tt> about the constructor we want to
expose instead.</p>
<pre class="programlisting"><tt class="literal"><span class="preprocessor">#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="keyword">
using</span><span class="keyword"> namespace</span><span class="identifier"> boost</span><span class="special">::</span><span class="identifier">python</span><span class="special">;</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">hello</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">World</span><span class="special">&gt;(</span><span class="string">"World"</span><span class="special">,</span><span class="identifier"> init</span><span class="special">&lt;</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"greet"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">greet</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"set"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">set</span><span class="special">)</span><span class="special">
;</span><span class="special">
}</span></tt></pre>
<p><tt class="literal">init&lt;std::string&gt;()</tt> exposes the constructor taking in a
<tt class="literal">std::string</tt> (in Python, constructors are spelled
"<tt class="literal">"<span class="underline">_init</span>_"</tt>").</p>
<p>
We can expose additional constructors by passing more <tt class="literal">init&lt;...&gt;</tt>s to
the <tt class="literal">def()</tt> member function. Say for example we have another World
constructor taking in two doubles:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">World</span><span class="special">&gt;(</span><span class="string">"World"</span><span class="special">,</span><span class="identifier"> init</span><span class="special">&lt;</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">init</span><span class="special">&lt;</span><span class="keyword">double</span><span class="special">,</span><span class="keyword"> double</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"greet"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">greet</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"set"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">set</span><span class="special">)</span><span class="special">
;</span></tt></pre>
<p>
On the other hand, if we do not wish to expose any constructors at
all, we may use <tt class="literal">no_init</tt> instead:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">Abstract</span><span class="special">&gt;(</span><span class="string">"Abstract"</span><span class="special">,</span><span class="identifier"> no_init</span><span class="special">)</span></tt></pre>
<p>
This actually adds an <tt class="literal"><span class="underline">_init</span>_</tt> method which always raises a
Python RuntimeError exception.</p>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.class_data_members"></a>Class Data Members</h3></div></div></div>
<p>
Data members may also be exposed to Python so that they can be
accessed as attributes of the corresponding Python class. Each data
member that we wish to be exposed may be regarded as <span class="bold"><b>read-only</b></span> or
<span class="bold"><b>read-write</b></span>. Consider this class <tt class="literal">Var</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Var</span><span class="special">
{</span><span class="identifier">
Var</span><span class="special">(</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> name</span><span class="special">)</span><span class="special"> :</span><span class="identifier"> name</span><span class="special">(</span><span class="identifier">name</span><span class="special">),</span><span class="identifier"> value</span><span class="special">()</span><span class="special"> {}</span><span class="identifier">
std</span><span class="special">::</span><span class="identifier">string</span><span class="keyword"> const</span><span class="identifier"> name</span><span class="special">;</span><span class="keyword">
float</span><span class="identifier"> value</span><span class="special">;</span><span class="special">
};</span></tt></pre>
<p>
Our C++ <tt class="literal">Var</tt> class and its data members can be exposed to Python:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">Var</span><span class="special">&gt;(</span><span class="string">"Var"</span><span class="special">,</span><span class="identifier"> init</span><span class="special">&lt;</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def_readonly</span><span class="special">(</span><span class="string">"name"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Var</span><span class="special">::</span><span class="identifier">name</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def_readwrite</span><span class="special">(</span><span class="string">"value"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Var</span><span class="special">::</span><span class="identifier">value</span><span class="special">);</span></tt></pre>
<p>
Then, in Python, assuming we have placed our Var class inside the namespace
hello as we did before:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special"> =</span><span class="identifier"> hello</span><span class="special">.</span><span class="identifier">Var</span><span class="special">(</span><span class="string">'pi'</span><span class="special">)</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">value</span><span class="special"> =</span><span class="number"> 3.14</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> print</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">name</span><span class="special">,</span><span class="string"> 'is around'</span><span class="special">,</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">value</span><span class="identifier">
pi</span><span class="keyword"> is</span><span class="identifier"> around</span><span class="number"> 3.14</span></tt></pre>
<p>
Note that <tt class="literal">name</tt> is exposed as <span class="bold"><b>read-only</b></span> while <tt class="literal">value</tt> is exposed
as <span class="bold"><b>read-write</b></span>.</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">name</span><span class="special"> =</span><span class="string"> 'e'</span><span class="comment"> # can't change name
</span><span class="identifier">Traceback</span><span class="special"> (</span><span class="identifier">most</span><span class="identifier"> recent</span><span class="identifier"> call</span><span class="identifier"> last</span><span class="special">):</span><span class="identifier">
File</span><span class="string"> "&lt;stdin&gt;"</span><span class="special">,</span><span class="identifier"> line</span><span class="number"> 1</span><span class="special">,</span><span class="keyword"> in</span>#<span class="identifier">
AttributeError</span><span class="special">:</span><span class="identifier"> can</span>#<span class="identifier">t</span><span class="identifier"> set</span><span class="identifier"> attribute</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.class_properties"></a>Class Properties</h3></div></div></div>
<p>
In C++, classes with public data members are usually frowned
upon. Well designed classes that take advantage of encapsulation hide
the class' data members. The only way to access the class' data is
through access (getter/setter) functions. Access functions expose class
properties. Here's an example:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Num</span><span class="special">
{</span><span class="identifier">
Num</span><span class="special">();</span><span class="keyword">
float</span><span class="identifier"> get</span><span class="special">()</span><span class="keyword"> const</span><span class="special">;</span><span class="keyword">
void</span><span class="identifier"> set</span><span class="special">(</span><span class="keyword">float</span><span class="identifier"> value</span><span class="special">);</span><span class="special">
...</span><span class="special">
};</span></tt></pre>
<p>
However, in Python attribute access is fine; it doesn't neccessarily break
encapsulation to let users handle attributes directly, because the
attributes can just be a different syntax for a method call. Wrapping our
<tt class="literal">Num</tt> class using Boost.Python:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">Num</span><span class="special">&gt;(</span><span class="string">"Num"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">add_property</span><span class="special">(</span><span class="string">"rovalue"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Num</span><span class="special">::</span><span class="identifier">get</span><span class="special">)</span><span class="special">
.</span><span class="identifier">add_property</span><span class="special">(</span><span class="string">"value"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Num</span><span class="special">::</span><span class="identifier">get</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Num</span><span class="special">::</span><span class="identifier">set</span><span class="special">);</span></tt></pre>
<p>
And at last, in Python:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special"> =</span><span class="identifier"> Num</span><span class="special">()</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">value</span><span class="special"> =</span><span class="number"> 3.14</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">value</span><span class="special">,</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">rovalue</span><span class="special">
(</span><span class="number">3.14</span><span class="special">,</span><span class="number"> 3.14</span><span class="special">)</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">rovalue</span><span class="special"> =</span><span class="number"> 2.17</span><span class="comment"> # error!
</span></tt></pre>
<p>
Take note that the class property <tt class="literal">rovalue</tt> is exposed as <span class="bold"><b>read-only</b></span>
since the <tt class="literal">rovalue</tt> setter member function is not passed in:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">add_property</span><span class="special">(</span><span class="string">"rovalue"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Num</span><span class="special">::</span><span class="identifier">get</span><span class="special">)</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.inheritance"></a>Inheritance</h3></div></div></div>
<p>
In the previous examples, we dealt with classes that are not polymorphic.
This is not often the case. Much of the time, we will be wrapping
polymorphic classes and class hierarchies related by inheritance. We will
often have to write Boost.Python wrappers for classes that are derived from
abstract base classes.</p>
<p>
Consider this trivial inheritance structure:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Base</span><span class="special"> {</span><span class="keyword"> virtual</span><span class="special"> ~</span><span class="identifier">Base</span><span class="special">();</span><span class="special"> };</span><span class="keyword">
struct</span><span class="identifier"> Derived</span><span class="special"> :</span><span class="identifier"> Base</span><span class="special"> {};</span></tt></pre>
<p>
And a set of C++ functions operating on <tt class="literal">Base</tt> and <tt class="literal">Derived</tt> object
instances:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">void</span><span class="identifier"> b</span><span class="special">(</span><span class="identifier">Base</span><span class="special">*);</span><span class="keyword">
void</span><span class="identifier"> d</span><span class="special">(</span><span class="identifier">Derived</span><span class="special">*);</span><span class="identifier">
Base</span><span class="special">*</span><span class="identifier"> factory</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="keyword"> new</span><span class="identifier"> Derived</span><span class="special">;</span><span class="special"> }</span></tt></pre>
<p>
We've seen how we can wrap the base class <tt class="literal">Base</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">Base</span><span class="special">&gt;(</span><span class="string">"Base"</span><span class="special">)</span><span class="comment">
/*...*/</span><span class="special">
;</span></tt></pre>
<p>
Now we can inform Boost.Python of the inheritance relationship between
<tt class="literal">Derived</tt> and its base class <tt class="literal">Base</tt>. Thus:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">Derived</span><span class="special">,</span><span class="identifier"> bases</span><span class="special">&lt;</span><span class="identifier">Base</span><span class="special">&gt;</span><span class="special"> &gt;(</span><span class="string">"Derived"</span><span class="special">)</span><span class="comment">
/*...*/</span><span class="special">
;</span></tt></pre>
<p>
Doing so, we get some things for free:</p>
<div class="orderedlist"><ol type="1">
<li>
Derived automatically inherits all of Base's Python methods
(wrapped C++ member functions)
</li>
<li>
<span class="bold"><b>If</b></span> Base is polymorphic, <tt class="literal">Derived</tt> objects which have been passed to
Python via a pointer or reference to <tt class="literal">Base</tt> can be passed where a pointer
or reference to <tt class="literal">Derived</tt> is expected.
</li>
</ol></div>
<p>
Now, we shall expose the C++ free functions <tt class="literal">b</tt> and <tt class="literal">d</tt> and <tt class="literal">factory</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">def</span><span class="special">(</span><span class="string">"b"</span><span class="special">,</span><span class="identifier"> b</span><span class="special">);</span><span class="identifier">
def</span><span class="special">(</span><span class="string">"d"</span><span class="special">,</span><span class="identifier"> d</span><span class="special">);</span><span class="identifier">
def</span><span class="special">(</span><span class="string">"factory"</span><span class="special">,</span><span class="identifier"> factory</span><span class="special">);</span></tt></pre>
<p>
Note that free function <tt class="literal">factory</tt> is being used to generate new
instances of class <tt class="literal">Derived</tt>. In such cases, we use
<tt class="literal">return_value_policy&lt;manage_new_object&gt;</tt> to instruct Python to adopt
the pointer to <tt class="literal">Base</tt> and hold the instance in a new Python <tt class="literal">Base</tt>
object until the the Python object is destroyed. We shall see more of
Boost.Python <a href="functions.html#python.call_policies" title="Call Policies">call policies</a> later.</p>
<pre class="programlisting"><tt class="literal"><span class="comment">// Tell Python to take ownership of factory's result
</span><span class="identifier">def</span><span class="special">(</span><span class="string">"factory"</span><span class="special">,</span><span class="identifier"> factory</span><span class="special">,</span><span class="identifier">
return_value_policy</span><span class="special">&lt;</span><span class="identifier">manage_new_object</span><span class="special">&gt;());</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.class_virtual_functions"></a>Class Virtual Functions</h3></div></div></div>
<p>
In this section, we shall learn how to make functions behave polymorphically
through virtual functions. Continuing our example, let us add a virtual function
to our <tt class="literal">Base</tt> class:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Base</span><span class="special">
{</span><span class="keyword">
virtual</span><span class="special"> ~</span><span class="identifier">Base</span><span class="special">()</span><span class="special"> {}</span><span class="keyword">
virtual</span><span class="keyword"> int</span><span class="identifier"> f</span><span class="special">()</span><span class="special"> =</span><span class="number"> 0</span><span class="special">;</span><span class="special">
};</span></tt></pre>
<p>
One of the goals of Boost.Python is to be minimally intrusive on an existing C++
design. In principle, it should be possible to expose the interface for a 3rd
party library without changing it. It is not ideal to add anything to our class
<tt class="computeroutput"><span class="identifier">Base</span></tt>. Yet, when you have a virtual function that's going to be overridden in
Python and called polymorphically <span class="bold"><b>from C++</b></span>, we'll need to add some
scaffoldings to make things work properly. What we'll do is write a class
wrapper that derives from <tt class="computeroutput"><span class="identifier">Base</span></tt> that will unintrusively hook into the virtual
functions so that a Python override may be called:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> BaseWrap</span><span class="special"> :</span><span class="identifier"> Base</span><span class="special">,</span><span class="identifier"> wrapper</span><span class="special">&lt;</span><span class="identifier">Base</span><span class="special">&gt;</span><span class="special">
{</span><span class="keyword">
int</span><span class="identifier"> f</span><span class="special">()</span><span class="special">
{</span><span class="keyword">
return</span><span class="keyword"> this</span><span class="special">-&gt;</span><span class="identifier">get_override</span><span class="special">(</span><span class="string">"f"</span><span class="special">)();</span><span class="special">
}</span><span class="special">
};</span></tt></pre>
<p>
Notice too that in addition to inheriting from <tt class="computeroutput"><span class="identifier">Base</span></tt>, we also multiply-
inherited <tt class="computeroutput"><span class="identifier">wrapper</span><span class="special">&lt;</span><span class="identifier">Base</span><span class="special">&gt;</span></tt> (See <a href="../../../../v2/wrapper.html" target="_top">Wrapper</a>). The
<tt class="computeroutput"><span class="identifier">wrapper</span></tt> template makes the job of wrapping classes that are meant to
overridden in Python, easier.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/alert.png"></span><span class="bold"><b>MSVC6/7 Workaround</b></span><br><br>
If you are using Microsoft Visual C++ 6 or 7, you have to write <tt class="computeroutput"><span class="identifier">f</span></tt> as:<br><br><tt class="computeroutput"><span class="keyword">return</span><span class="identifier"> call</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;(</span><span class="keyword">this</span><span class="special">-&gt;</span><span class="identifier">get_override</span><span class="special">(</span><span class="string">"f"</span><span class="special">).</span><span class="identifier">ptr</span><span class="special">());</span></tt>.</td></tr></tbody>
</table></div>
<p>
BaseWrap's overridden virtual member function <tt class="computeroutput"><span class="identifier">f</span></tt> in effect calls the
corresponding method of the Python object through <tt class="computeroutput"><span class="identifier">get_override</span></tt>.</p>
<p>
Finally, exposing <tt class="computeroutput"><span class="identifier">Base</span></tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">BaseWrap</span><span class="special">,</span><span class="identifier"> boost</span><span class="special">::</span><span class="identifier">noncopyable</span><span class="special">&gt;(</span><span class="string">"Base"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> pure_virtual</span><span class="special">(&amp;</span><span class="identifier">Base</span><span class="special">::</span><span class="identifier">f</span><span class="special">))</span><span class="special">
;</span></tt></pre>
<p><tt class="computeroutput"><span class="identifier">pure_virtual</span></tt> signals Boost.Python that the function <tt class="computeroutput"><span class="identifier">f</span></tt> is a pure virtual
function.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>member function and methods</b></span><br><br>
Python, like
many object oriented languages uses the term <span class="bold"><b>methods</b></span>. Methods
correspond roughly to C++'s <span class="bold"><b>member functions</b></span>
</td></tr></tbody>
</table></div>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.virtual_functions_with_default_implementations"></a>Virtual Functions with Default Implementations</h3></div></div></div>
<p>
We've seen in the previous section how classes with pure virtual functions are
wrapped using Boost.Python's <a href="../../../../v2/wrapper.html" target="_top">class wrapper</a>
facilities. If we wish to wrap <span class="bold"><b>non</b></span>-pure-virtual functions instead, the
mechanism is a bit different.</p>
<p>
Recall that in the <a href="exposing.html#python.class_virtual_functions" title="Class Virtual Functions">previous section</a>, we
wrapped a class with a pure virtual function that we then implemented in C++, or
Python classes derived from it. Our base class:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Base</span><span class="special">
{</span><span class="keyword">
virtual</span><span class="keyword"> int</span><span class="identifier"> f</span><span class="special">()</span><span class="special"> =</span><span class="number"> 0</span><span class="special">;</span><span class="special">
};</span></tt></pre>
<p>
had a pure virtual function <tt class="literal">f</tt>. If, however, its member function <tt class="literal">f</tt> was
not declared as pure virtual:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Base</span><span class="special">
{</span><span class="keyword">
virtual</span><span class="special"> ~</span><span class="identifier">Base</span><span class="special">()</span><span class="special"> {}</span><span class="keyword">
virtual</span><span class="keyword"> int</span><span class="identifier"> f</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="number"> 0</span><span class="special">;</span><span class="special"> }</span><span class="special">
};</span></tt></pre>
<p>
We wrap it this way:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> BaseWrap</span><span class="special"> :</span><span class="identifier"> Base</span><span class="special">,</span><span class="identifier"> wrapper</span><span class="special">&lt;</span><span class="identifier">Base</span><span class="special">&gt;</span><span class="special">
{</span><span class="keyword">
int</span><span class="identifier"> f</span><span class="special">()</span><span class="special">
{</span><span class="keyword">
if</span><span class="special"> (</span><span class="identifier">override</span><span class="identifier"> f</span><span class="special"> =</span><span class="keyword"> this</span><span class="special">-&gt;</span><span class="identifier">get_override</span><span class="special">(</span><span class="string">"f"</span><span class="special">))</span><span class="keyword">
return</span><span class="identifier"> f</span><span class="special">();</span><span class="comment"> // *note*
</span><span class="keyword"> return</span><span class="identifier"> Base</span><span class="special">::</span><span class="identifier">f</span><span class="special">();</span><span class="special">
}</span><span class="keyword">
int</span><span class="identifier"> default_f</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="keyword"> this</span><span class="special">-&gt;</span><span class="identifier">Base</span><span class="special">::</span><span class="identifier">f</span><span class="special">();</span><span class="special"> }</span><span class="special">
};</span></tt></pre>
<p>
Notice how we implemented <tt class="computeroutput"><span class="identifier">BaseWrap</span><span class="special">::</span><span class="identifier">f</span></tt>. Now, we have to check if there is an
override for <tt class="computeroutput"><span class="identifier">f</span></tt>. If none, then we call <tt class="computeroutput"><span class="identifier">Base</span><span class="special">::</span><span class="identifier">f</span><span class="special">()</span></tt>.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/alert.png"></span><span class="bold"><b>MSVC6/7 Workaround</b></span><br><br>
If you are using Microsoft Visual C++ 6 or 7, you have to rewrite the line
with the <tt class="computeroutput"><span class="special">*</span><span class="identifier">note</span><span class="special">*</span></tt> as:<br><br><tt class="computeroutput"><span class="keyword">return</span><span class="identifier"> call</span><span class="special">&lt;</span><span class="keyword">char</span><span class="keyword"> const</span><span class="special">*&gt;(</span><span class="identifier">f</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">());</span></tt>.</td></tr></tbody>
</table></div>
<p>
Finally, exposing:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">BaseWrap</span><span class="special">,</span><span class="identifier"> boost</span><span class="special">::</span><span class="identifier">noncopyable</span><span class="special">&gt;(</span><span class="string">"Base"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Base</span><span class="special">::</span><span class="identifier">f</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">BaseWrap</span><span class="special">::</span><span class="identifier">default_f</span><span class="special">)</span><span class="special">
;</span></tt></pre>
<p>
Take note that we expose both <tt class="computeroutput"><span class="special">&amp;</span><span class="identifier">Base</span><span class="special">::</span><span class="identifier">f</span></tt> and <tt class="computeroutput"><span class="special">&amp;</span><span class="identifier">BaseWrap</span><span class="special">::</span><span class="identifier">default_f</span></tt>.
Boost.Python needs to keep track of 1) the dispatch function <tt class="literal">f</tt> and 2) the
forwarding function to its default implementation <tt class="literal">default_f</tt>. There's a
special <tt class="literal">def</tt> function for this purpose.</p>
<p>
In Python, the results would be as expected:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> base</span><span class="special"> =</span><span class="identifier"> Base</span><span class="special">()</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> class</span><span class="identifier"> Derived</span><span class="special">(</span><span class="identifier">Base</span><span class="special">):</span><span class="special">
...</span><span class="keyword"> def</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">self</span><span class="special">):</span><span class="special">
...</span><span class="keyword"> return</span><span class="number"> 42</span><span class="special">
...</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> derived</span><span class="special"> =</span><span class="identifier"> Derived</span><span class="special">()</span></tt></pre>
<p>
Calling <tt class="literal">base.f()</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> base</span><span class="special">.</span><span class="identifier">f</span><span class="special">()</span><span class="number">
0</span></tt></pre>
<p>
Calling <tt class="literal">derived.f()</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> derived</span><span class="special">.</span><span class="identifier">f</span><span class="special">()</span><span class="number">
42</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.class_operators_special_functions"></a>Class Operators/Special Functions</h3></div></div></div>
<a name="class_operators_special_functions.python_operators"></a><h2>
<a name="id447543"></a>Python Operators</h2>
<p>
C is well known for the abundance of operators. C++ extends this to the
extremes by allowing operator overloading. Boost.Python takes advantage of
this and makes it easy to wrap C++ operator-powered classes.</p>
<p>
Consider a file position class <tt class="literal">FilePos</tt> and a set of operators that take
on FilePos instances:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">class</span><span class="identifier"> FilePos</span><span class="special"> {</span><span class="comment"> /*...*/</span><span class="special"> };</span><span class="identifier">
FilePos</span><span class="keyword"> operator</span><span class="special">+(</span><span class="identifier">FilePos</span><span class="special">,</span><span class="keyword"> int</span><span class="special">);</span><span class="identifier">
FilePos</span><span class="keyword"> operator</span><span class="special">+(</span><span class="keyword">int</span><span class="special">,</span><span class="identifier"> FilePos</span><span class="special">);</span><span class="keyword">
int</span><span class="keyword"> operator</span><span class="special">-(</span><span class="identifier">FilePos</span><span class="special">,</span><span class="identifier"> FilePos</span><span class="special">);</span><span class="identifier">
FilePos</span><span class="keyword"> operator</span><span class="special">-(</span><span class="identifier">FilePos</span><span class="special">,</span><span class="keyword"> int</span><span class="special">);</span><span class="identifier">
FilePos</span><span class="special">&amp;</span><span class="keyword"> operator</span><span class="special">+=(</span><span class="identifier">FilePos</span><span class="special">&amp;,</span><span class="keyword"> int</span><span class="special">);</span><span class="identifier">
FilePos</span><span class="special">&amp;</span><span class="keyword"> operator</span><span class="special">-=(</span><span class="identifier">FilePos</span><span class="special">&amp;,</span><span class="keyword"> int</span><span class="special">);</span><span class="keyword">
bool</span><span class="keyword"> operator</span><span class="special">&lt;(</span><span class="identifier">FilePos</span><span class="special">,</span><span class="identifier"> FilePos</span><span class="special">);</span></tt></pre>
<p>
The class and the various operators can be mapped to Python rather easily
and intuitively:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">FilePos</span><span class="special">&gt;(</span><span class="string">"FilePos"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> +</span><span class="keyword"> int</span><span class="special">())</span><span class="comment"> // __add__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="keyword">int</span><span class="special">()</span><span class="special"> +</span><span class="identifier"> self</span><span class="special">)</span><span class="comment"> // __radd__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> -</span><span class="identifier"> self</span><span class="special">)</span><span class="comment"> // __sub__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> -</span><span class="keyword"> int</span><span class="special">())</span><span class="comment"> // __sub__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> +=</span><span class="keyword"> int</span><span class="special">())</span><span class="comment"> // __iadd__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> -=</span><span class="identifier"> other</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> &lt;</span><span class="identifier"> self</span><span class="special">);</span><span class="comment"> // __lt__
</span></tt></pre>
<p>
The code snippet above is very clear and needs almost no explanation at
all. It is virtually the same as the operators' signatures. Just take
note that <tt class="literal">self</tt> refers to FilePos object. Also, not every class <tt class="literal">T</tt> that
you might need to interact with in an operator expression is (cheaply)
default-constructible. You can use <tt class="literal">other&lt;T&gt;()</tt> in place of an actual
<tt class="literal">T</tt> instance when writing "self expressions".</p>
<a name="class_operators_special_functions.special_methods"></a><h2>
<a name="id448230"></a>Special Methods</h2>
<p>
Python has a few more <span class="emphasis"><em>Special Methods</em></span>. Boost.Python supports all of the
standard special method names supported by real Python class instances. A
similar set of intuitive interfaces can also be used to wrap C++ functions
that correspond to these Python <span class="emphasis"><em>special functions</em></span>. Example:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">class</span><span class="identifier"> Rational</span><span class="special">
{</span><span class="keyword"> public</span><span class="special">:</span><span class="keyword"> operator</span><span class="keyword"> double</span><span class="special">()</span><span class="keyword"> const</span><span class="special">;</span><span class="special"> };</span><span class="identifier">
Rational</span><span class="identifier"> pow</span><span class="special">(</span><span class="identifier">Rational</span><span class="special">,</span><span class="identifier"> Rational</span><span class="special">);</span><span class="identifier">
Rational</span><span class="identifier"> abs</span><span class="special">(</span><span class="identifier">Rational</span><span class="special">);</span><span class="identifier">
ostream</span><span class="special">&amp;</span><span class="keyword"> operator</span><span class="special">&lt;&lt;(</span><span class="identifier">ostream</span><span class="special">&amp;,</span><span class="identifier">Rational</span><span class="special">);</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">Rational</span><span class="special">&gt;(</span><span class="string">"Rational"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">float_</span><span class="special">(</span><span class="identifier">self</span><span class="special">))</span><span class="comment"> // __float__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">pow</span><span class="special">(</span><span class="identifier">self</span><span class="special">,</span><span class="identifier"> other</span><span class="special">&lt;</span><span class="identifier">Rational</span><span class="special">&gt;))</span><span class="comment"> // __pow__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">abs</span><span class="special">(</span><span class="identifier">self</span><span class="special">))</span><span class="comment"> // __abs__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">str</span><span class="special">(</span><span class="identifier">self</span><span class="special">))</span><span class="comment"> // __str__
</span><span class="special"> ;</span></tt></pre>
<p>
Need we say more?</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span> What is the business of <tt class="computeroutput"><span class="keyword">operator</span><span class="special">&lt;&lt;</span></tt>?
Well, the method <tt class="computeroutput"><span class="identifier">str</span></tt> requires the <tt class="computeroutput"><span class="keyword">operator</span><span class="special">&lt;&lt;</span></tt> to do its work (i.e.
<tt class="computeroutput"><span class="keyword">operator</span><span class="special">&lt;&lt;</span></tt> is used by the method defined by <tt class="computeroutput"><span class="identifier">def</span><span class="special">(</span><span class="identifier">str</span><span class="special">(</span><span class="identifier">self</span><span class="special">))</span></tt>.</td></tr></tbody>
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.functions"></a>Functions</h2></div></div></div>
<div class="toc"><dl>
<dt><span class="section"><a href="functions.html#python.call_policies">Call Policies</a></span></dt>
<dt><span class="section"><a href="functions.html#python.overloading">Overloading</a></span></dt>
<dt><span class="section"><a href="functions.html#python.default_arguments">Default Arguments</a></span></dt>
<dt><span class="section"><a href="functions.html#python.auto_overloading">Auto-Overloading</a></span></dt>
</dl></div>
<p>
In this chapter, we'll look at Boost.Python powered functions in closer
detail. We shall see some facilities to make exposing C++ functions to
Python safe from potential pifalls such as dangling pointers and
references. We shall also see facilities that will make it even easier for
us to expose C++ functions that take advantage of C++ features such as
overloading and default arguments.</p>
<div class="blockquote"><blockquote class="blockquote"><p><span class="emphasis"><em>Read on...</em></span></p></blockquote></div>
<p>
But before you do, you might want to fire up Python 2.2 or later and type
<tt class="literal">&gt;&gt;&gt; import this</tt>.</p>
<pre class="programlisting"><tt class="literal">&gt;&gt;&gt; import this
The Zen of Python, by Tim Peters
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than <span class="bold"><b>right</b></span> now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
</tt></pre>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.call_policies"></a>Call Policies</h3></div></div></div>
<p>
In C++, we often deal with arguments and return types such as pointers
and references. Such primitive types are rather, ummmm, low level and
they really don't tell us much. At the very least, we don't know the
owner of the pointer or the referenced object. No wonder languages
such as Java and Python never deal with such low level entities. In
C++, it's usually considered a good practice to use smart pointers
which exactly describe ownership semantics. Still, even good C++
interfaces use raw references and pointers sometimes, so Boost.Python
must deal with them. To do this, it may need your help. Consider the
following C++ function:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">X</span><span class="special">&amp;</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">Y</span><span class="special">&amp;</span><span class="identifier"> y</span><span class="special">,</span><span class="identifier"> Z</span><span class="special">*</span><span class="identifier"> z</span><span class="special">);</span></tt></pre>
<p>
How should the library wrap this function? A naive approach builds a
Python X object around result reference. This strategy might or might
not work out. Here's an example where it didn't</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special"> =</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">y</span><span class="special">,</span><span class="identifier"> z</span><span class="special">)</span> #<span class="identifier"> x</span><span class="identifier"> refers</span><span class="identifier"> to</span><span class="identifier"> some</span><span class="identifier"> C</span><span class="special">++</span><span class="identifier"> X</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> del</span><span class="identifier"> y</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">some_method</span><span class="special">()</span> #<span class="identifier"> CRASH</span><span class="special">!</span></tt></pre>
<p>
What's the problem?</p>
<p>
Well, what if f() was implemented as shown below:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">X</span><span class="special">&amp;</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">Y</span><span class="special">&amp;</span><span class="identifier"> y</span><span class="special">,</span><span class="identifier"> Z</span><span class="special">*</span><span class="identifier"> z</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
y</span><span class="special">.</span><span class="identifier">z</span><span class="special"> =</span><span class="identifier"> z</span><span class="special">;</span><span class="keyword">
return</span><span class="identifier"> y</span><span class="special">.</span><span class="identifier">x</span><span class="special">;</span><span class="special">
}</span></tt></pre>
<p>
The problem is that the lifetime of result X&amp; is tied to the lifetime
of y, because the f() returns a reference to a member of the y
object. This idiom is is not uncommon and perfectly acceptable in the
context of C++. However, Python users should not be able to crash the
system just by using our C++ interface. In this case deleting y will
invalidate the reference to X. We have a dangling reference.</p>
<p>
Here's what's happening:</p>
<div class="orderedlist"><ol type="1">
<li>
<tt class="literal">f</tt> is called passing in a reference to <tt class="literal">y</tt> and a pointer to <tt class="literal">z</tt>
</li>
<li>
A reference to <tt class="literal">y.x</tt> is returned
</li>
<li>
<tt class="literal">y</tt> is deleted. <tt class="literal">x</tt> is a dangling reference
</li>
<li>
<tt class="literal">x.some_method()</tt> is called
</li>
<li><span class="bold"><b>BOOM!</b></span></li>
</ol></div>
<p>
We could copy result into a new object:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">y</span><span class="special">,</span><span class="identifier"> z</span><span class="special">).</span><span class="identifier">set</span><span class="special">(</span><span class="number">42</span><span class="special">)</span><span class="comment"> # Result disappears
</span><span class="special">&gt;&gt;&gt;</span><span class="identifier"> y</span><span class="special">.</span><span class="identifier">x</span><span class="special">.</span><span class="identifier">get</span><span class="special">()</span><span class="comment"> # No crash, but still bad
</span><span class="number">3.14</span></tt></pre>
<p>
This is not really our intent of our C++ interface. We've broken our
promise that the Python interface should reflect the C++ interface as
closely as possible.</p>
<p>
Our problems do not end there. Suppose Y is implemented as follows:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Y</span><span class="special">
{</span><span class="identifier">
X</span><span class="identifier"> x</span><span class="special">;</span><span class="identifier"> Z</span><span class="special">*</span><span class="identifier"> z</span><span class="special">;</span><span class="keyword">
int</span><span class="identifier"> z_value</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="identifier"> z</span><span class="special">-&gt;</span><span class="identifier">value</span><span class="special">();</span><span class="special"> }</span><span class="special">
};</span></tt></pre>
<p>
Notice that the data member <tt class="literal">z</tt> is held by class Y using a raw
pointer. Now we have a potential dangling pointer problem inside Y:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special"> =</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">y</span><span class="special">,</span><span class="identifier"> z</span><span class="special">)</span> #<span class="identifier"> y</span><span class="identifier"> refers</span><span class="identifier"> to</span><span class="identifier"> z</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> del</span><span class="identifier"> z</span>       #<span class="identifier"> Kill</span><span class="identifier"> the</span><span class="identifier"> z</span><span class="identifier"> object</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> y</span><span class="special">.</span><span class="identifier">z_value</span><span class="special">()</span> #<span class="identifier"> CRASH</span><span class="special">!</span></tt></pre>
<p>
For reference, here's the implementation of <tt class="literal">f</tt> again:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">X</span><span class="special">&amp;</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">Y</span><span class="special">&amp;</span><span class="identifier"> y</span><span class="special">,</span><span class="identifier"> Z</span><span class="special">*</span><span class="identifier"> z</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
y</span><span class="special">.</span><span class="identifier">z</span><span class="special"> =</span><span class="identifier"> z</span><span class="special">;</span><span class="keyword">
return</span><span class="identifier"> y</span><span class="special">.</span><span class="identifier">x</span><span class="special">;</span><span class="special">
}</span></tt></pre>
<p>
Here's what's happening:</p>
<div class="orderedlist"><ol type="1">
<li>
<tt class="literal">f</tt> is called passing in a reference to <tt class="literal">y</tt> and a pointer to <tt class="literal">z</tt>
</li>
<li>
A pointer to <tt class="literal">z</tt> is held by <tt class="literal">y</tt>
</li>
<li>
A reference to <tt class="literal">y.x</tt> is returned
</li>
<li>
<tt class="literal">z</tt> is deleted. <tt class="literal">y.z</tt> is a dangling pointer
</li>
<li>
<tt class="literal">y.z_value()</tt> is called
</li>
<li>
<tt class="literal">z-&gt;value()</tt> is called
</li>
<li><span class="bold"><b>BOOM!</b></span></li>
</ol></div>
<a name="call_policies.call_policies"></a><h2>
<a name="id449896"></a>Call Policies</h2>
<p>
Call Policies may be used in situations such as the example detailed above.
In our example, <tt class="literal">return_internal_reference</tt> and <tt class="literal">with_custodian_and_ward</tt>
are our friends:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> f</span><span class="special">,</span><span class="identifier">
return_internal_reference</span><span class="special">&lt;</span><span class="number">1</span><span class="special">,</span><span class="identifier">
with_custodian_and_ward</span><span class="special">&lt;</span><span class="number">1</span><span class="special">,</span><span class="number"> 2</span><span class="special">&gt;</span><span class="special"> &gt;());</span></tt></pre>
<p>
What are the <tt class="literal">1</tt> and <tt class="literal">2</tt> parameters, you ask?</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">return_internal_reference</span><span class="special">&lt;</span><span class="number">1</span></tt></pre>
<p>
Informs Boost.Python that the first argument, in our case <tt class="literal">Y&amp; y</tt>, is the
owner of the returned reference: <tt class="literal">X&amp;</tt>. The "<tt class="literal">1</tt>" simply specifies the
first argument. In short: "return an internal reference <tt class="literal">X&amp;</tt> owned by the
1st argument <tt class="literal">Y&amp; y</tt>".</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">with_custodian_and_ward</span><span class="special">&lt;</span><span class="number">1</span><span class="special">,</span><span class="number"> 2</span><span class="special">&gt;</span></tt></pre>
<p>
Informs Boost.Python that the lifetime of the argument indicated by ward
(i.e. the 2nd argument: <tt class="literal">Z* z</tt>) is dependent on the lifetime of the
argument indicated by custodian (i.e. the 1st argument: <tt class="literal">Y&amp; y</tt>).</p>
<p>
It is also important to note that we have defined two policies above. Two
or more policies can be composed by chaining. Here's the general syntax:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">policy1</span><span class="special">&lt;</span><span class="identifier">args</span><span class="special">...,</span><span class="identifier">
policy2</span><span class="special">&lt;</span><span class="identifier">args</span><span class="special">...,</span><span class="identifier">
policy3</span><span class="special">&lt;</span><span class="identifier">args</span><span class="special">...&gt;</span><span class="special"> &gt;</span><span class="special"> &gt;</span></tt></pre>
<p>
Here is the list of predefined call policies. A complete reference detailing
these can be found <a href="../../../../v2/reference.html#models_of_call_policies" target="_top">here</a>.</p>
<div class="itemizedlist"><ul type="disc">
<li>
<span class="bold"><b>with_custodian_and_ward</b></span><br>
Ties lifetimes of the arguments
</li>
<li>
<span class="bold"><b>with_custodian_and_ward_postcall</b></span><br>
Ties lifetimes of the arguments and results
</li>
<li>
<span class="bold"><b>return_internal_reference</b></span><br>
Ties lifetime of one argument to that of result
</li>
<li>
<span class="bold"><b>return_value_policy&lt;T&gt; with T one of:</b></span><br>
</li>
<li>
<span class="bold"><b>reference_existing_object</b></span><br>
naive (dangerous) approach
</li>
<li>
<span class="bold"><b>copy_const_reference</b></span><br>
Boost.Python v1 approach
</li>
<li>
<span class="bold"><b>copy_non_const_reference</b></span><br>
</li>
<li>
<span class="bold"><b>manage_new_object</b></span><br>
Adopt a pointer and hold the instance
</li>
</ul></div>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/smiley.png"></span><span class="bold"><b>Remember the Zen, Luke:</b></span><br><br>
"Explicit is better than implicit"<br>
"In the face of ambiguity, refuse the temptation to guess"<br>
</td></tr></tbody>
</table></div>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.overloading"></a>Overloading</h3></div></div></div>
<p>
The following illustrates a scheme for manually wrapping an overloaded
member functions. Of course, the same technique can be applied to wrapping
overloaded non-member functions.</p>
<p>
We have here our C++ class:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> X</span><span class="special">
{</span><span class="keyword">
bool</span><span class="identifier"> f</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">)</span><span class="special">
{</span><span class="keyword">
return</span><span class="keyword"> true</span><span class="special">;</span><span class="special">
}</span><span class="keyword">
bool</span><span class="identifier"> f</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> double</span><span class="identifier"> b</span><span class="special">)</span><span class="special">
{</span><span class="keyword">
return</span><span class="keyword"> true</span><span class="special">;</span><span class="special">
}</span><span class="keyword">
bool</span><span class="identifier"> f</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> double</span><span class="identifier"> b</span><span class="special">,</span><span class="keyword"> char</span><span class="identifier"> c</span><span class="special">)</span><span class="special">
{</span><span class="keyword">
return</span><span class="keyword"> true</span><span class="special">;</span><span class="special">
}</span><span class="keyword">
int</span><span class="identifier"> f</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> b</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> c</span><span class="special">)</span><span class="special">
{</span><span class="keyword">
return</span><span class="identifier"> a</span><span class="special"> +</span><span class="identifier"> b</span><span class="special"> +</span><span class="identifier"> c</span><span class="special">;</span><span class="special">
};</span><span class="special">
};</span></tt></pre>
<p>
Class X has 4 overloaded functions. We shall start by introducing some
member function pointer variables:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">bool</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx1</span><span class="special">)(</span><span class="keyword">int</span><span class="special">)</span><span class="special"> =</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span><span class="keyword">
bool</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx2</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> double</span><span class="special">)</span><span class="special"> =</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span><span class="keyword">
bool</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx3</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> double</span><span class="special">,</span><span class="keyword"> char</span><span class="special">)=</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span><span class="keyword">
int</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx4</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> int</span><span class="special">,</span><span class="keyword"> int</span><span class="special">)</span><span class="special"> =</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span></tt></pre>
<p>
With these in hand, we can proceed to define and wrap this for Python:</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx1</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx2</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx3</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx4</span><span class="special">)</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.default_arguments"></a>Default Arguments</h3></div></div></div>
<p>
Boost.Python wraps (member) function pointers. Unfortunately, C++ function
pointers carry no default argument info. Take a function <tt class="literal">f</tt> with default
arguments:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">int</span><span class="identifier"> f</span><span class="special">(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> double</span><span class="special"> =</span><span class="number"> 3.14</span><span class="special">,</span><span class="keyword"> char</span><span class="keyword"> const</span><span class="special">*</span><span class="special"> =</span><span class="string"> "hello"</span><span class="special">);</span></tt></pre>
<p>
But the type of a pointer to the function <tt class="literal">f</tt> has no information
about its default arguments:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">int</span><span class="special">(*</span><span class="identifier">g</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword">double</span><span class="special">,</span><span class="keyword">char</span><span class="keyword"> const</span><span class="special">*)</span><span class="special"> =</span><span class="identifier"> f</span><span class="special">;</span><span class="comment"> // defaults lost!
</span></tt></pre>
<p>
When we pass this function pointer to the <tt class="literal">def</tt> function, there is no way
to retrieve the default arguments:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> f</span><span class="special">);</span><span class="comment"> // defaults lost!
</span></tt></pre>
<p>
Because of this, when wrapping C++ code, we had to resort to manual
wrapping as outlined in the <a href="functions.html#python.overloading" title="Overloading">previous section</a>, or
writing thin wrappers:</p>
<pre class="programlisting"><tt class="literal"><span class="comment">// write "thin wrappers"
</span><span class="keyword">int</span><span class="identifier"> f1</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> x</span><span class="special">)</span><span class="special"> {</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">x</span><span class="special">);</span><span class="special"> }</span><span class="keyword">
int</span><span class="identifier"> f2</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> x</span><span class="special">,</span><span class="keyword"> double</span><span class="identifier"> y</span><span class="special">)</span><span class="special"> {</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">x</span><span class="special">,</span><span class="identifier">y</span><span class="special">);</span><span class="special"> }</span><span class="comment">
/*...*/
// in module init
</span><span class="identifier"> def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> f</span><span class="special">);</span><span class="comment"> // all arguments
</span><span class="identifier"> def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> f2</span><span class="special">);</span><span class="comment"> // two arguments
</span><span class="identifier"> def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> f1</span><span class="special">);</span><span class="comment"> // one argument
</span></tt></pre>
<p>
When you want to wrap functions (or member functions) that either:</p>
<div class="itemizedlist"><ul type="disc">
<li>
have default arguments, or
</li>
<li>
are overloaded with a common sequence of initial arguments
</li>
</ul></div>
<a name="default_arguments.boost_python_function_overloads"></a><h2>
<a name="id451716"></a>BOOST_PYTHON_FUNCTION_OVERLOADS</h2>
<p>
Boost.Python now has a way to make it easier. For instance, given a function:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">int</span><span class="identifier"> foo</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> char</span><span class="identifier"> b</span><span class="special"> =</span><span class="number"> 1</span><span class="special">,</span><span class="keyword"> unsigned</span><span class="identifier"> c</span><span class="special"> =</span><span class="number"> 2</span><span class="special">,</span><span class="keyword"> double</span><span class="identifier"> d</span><span class="special"> =</span><span class="number"> 3</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span></tt></pre>
<p>
The macro invocation:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">BOOST_PYTHON_FUNCTION_OVERLOADS</span><span class="special">(</span><span class="identifier">foo_overloads</span><span class="special">,</span><span class="identifier"> foo</span><span class="special">,</span><span class="number"> 1</span><span class="special">,</span><span class="number"> 4</span><span class="special">)</span></tt></pre>
<p>
will automatically create the thin wrappers for us. This macro will create
a class <tt class="literal">foo_overloads</tt> that can be passed on to <tt class="literal">def(...)</tt>. The third
and fourth macro argument are the minimum arguments and maximum arguments,
respectively. In our <tt class="literal">foo</tt> function the minimum number of arguments is 1
and the maximum number of arguments is 4. The <tt class="literal">def(...)</tt> function will
automatically add all the foo variants for us:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">def</span><span class="special">(</span><span class="string">"foo"</span><span class="special">,</span><span class="identifier"> foo</span><span class="special">,</span><span class="identifier"> foo_overloads</span><span class="special">());</span></tt></pre>
<a name="default_arguments.boost_python_member_function_overloads"></a><h2>
<a name="id451995"></a>BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</h2>
<p>
Objects here, objects there, objects here there everywhere. More frequently
than anything else, we need to expose member functions of our classes to
Python. Then again, we have the same inconveniences as before when default
arguments or overloads with a common sequence of initial arguments come
into play. Another macro is provided to make this a breeze.</p>
<p>
Like <tt class="literal">BOOST_PYTHON_FUNCTION_OVERLOADS</tt>,
<tt class="literal">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</tt> may be used to automatically create
the thin wrappers for wrapping member functions. Let's have an example:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> george</span><span class="special">
{</span><span class="keyword">
void</span><span class="identifier">
wack_em</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> b</span><span class="special"> =</span><span class="number"> 0</span><span class="special">,</span><span class="keyword"> char</span><span class="identifier"> c</span><span class="special"> =</span><span class="char"> 'x'</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span><span class="special">
};</span></tt></pre>
<p>
The macro invocation:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</span><span class="special">(</span><span class="identifier">george_overloads</span><span class="special">,</span><span class="identifier"> wack_em</span><span class="special">,</span><span class="number"> 1</span><span class="special">,</span><span class="number"> 3</span><span class="special">)</span></tt></pre>
<p>
will generate a set of thin wrappers for george's <tt class="literal">wack_em</tt> member function
accepting a minimum of 1 and a maximum of 3 arguments (i.e. the third and
fourth macro argument). The thin wrappers are all enclosed in a class named
<tt class="literal">george_overloads</tt> that can then be used as an argument to <tt class="literal">def(...)</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"wack_em"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">george</span><span class="special">::</span><span class="identifier">wack_em</span><span class="special">,</span><span class="identifier"> george_overloads</span><span class="special">());</span></tt></pre>
<p>
See the <a href="../../../../v2/overloads.html#BOOST_PYTHON_FUNCTION_OVERLOADS-spec" target="_top">overloads reference</a>
for details.</p>
<a name="default_arguments.init_and_optional"></a><h2>
<a name="id452323"></a>init and optional</h2>
<p>
A similar facility is provided for class constructors, again, with
default arguments or a sequence of overloads. Remember <tt class="literal">init&lt;...&gt;</tt>? For example,
given a class X with a constructor:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> X</span><span class="special">
{</span><span class="identifier">
X</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> char</span><span class="identifier"> b</span><span class="special"> =</span><span class="char"> 'D'</span><span class="special">,</span><span class="identifier"> std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> c</span><span class="special"> =</span><span class="string"> "constructor"</span><span class="special">,</span><span class="keyword"> double</span><span class="identifier"> d</span><span class="special"> =</span><span class="number"> 0.0</span><span class="special">);</span><span class="comment">
/*...*/</span><span class="special">
}</span></tt></pre>
<p>
You can easily add this constructor to Boost.Python in one shot:</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">init</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">,</span><span class="identifier"> optional</span><span class="special">&lt;</span><span class="keyword">char</span><span class="special">,</span><span class="identifier"> std</span><span class="special">::</span><span class="identifier">string</span><span class="special">,</span><span class="keyword"> double</span><span class="special">&gt;</span><span class="special"> &gt;())</span></tt></pre>
<p>
Notice the use of <tt class="literal">init&lt;...&gt;</tt> and <tt class="literal">optional&lt;...&gt;</tt> to signify the default
(optional arguments).</p>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.auto_overloading"></a>Auto-Overloading</h3></div></div></div>
<p>
It was mentioned in passing in the previous section that
<tt class="literal">BOOST_PYTHON_FUNCTION_OVERLOADS</tt> and <tt class="literal">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</tt>
can also be used for overloaded functions and member functions with a
common sequence of initial arguments. Here is an example:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">void</span><span class="identifier"> foo</span><span class="special">()</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span><span class="keyword">
void</span><span class="identifier"> foo</span><span class="special">(</span><span class="keyword">bool</span><span class="identifier"> a</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span><span class="keyword">
void</span><span class="identifier"> foo</span><span class="special">(</span><span class="keyword">bool</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> b</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span><span class="keyword">
void</span><span class="identifier"> foo</span><span class="special">(</span><span class="keyword">bool</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> b</span><span class="special">,</span><span class="keyword"> char</span><span class="identifier"> c</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span></tt></pre>
<p>
Like in the previous section, we can generate thin wrappers for these
overloaded functions in one-shot:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">BOOST_PYTHON_FUNCTION_OVERLOADS</span><span class="special">(</span><span class="identifier">foo_overloads</span><span class="special">,</span><span class="identifier"> foo</span><span class="special">,</span><span class="number"> 0</span><span class="special">,</span><span class="number"> 3</span><span class="special">)</span></tt></pre>
<p>
Then...</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"foo"</span><span class="special">,</span><span class="identifier"> foo</span><span class="special">,</span><span class="identifier"> foo_overloads</span><span class="special">());</span></tt></pre>
<p>
Notice though that we have a situation now where we have a minimum of zero
(0) arguments and a maximum of 3 arguments.</p>
<a name="auto_overloading.manual_wrapping"></a><h2>
<a name="id452969"></a>Manual Wrapping</h2>
<p>
It is important to emphasize however that <span class="bold"><b>the overloaded functions must
have a common sequence of initial arguments</b></span>. Otherwise, our scheme above
will not work. If this is not the case, we have to wrap our functions
<a href="functions.html#python.overloading" title="Overloading">manually</a>.</p>
<p>
Actually, we can mix and match manual wrapping of overloaded functions and
automatic wrapping through <tt class="literal">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</tt> and
its sister, <tt class="literal">BOOST_PYTHON_FUNCTION_OVERLOADS</tt>. Following up on our example
presented in the section <a href="functions.html#python.overloading" title="Overloading">on overloading</a>, since the
first 4 overload functins have a common sequence of initial arguments, we
can use <tt class="literal">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</tt> to automatically wrap the
first three of the <tt class="literal">def</tt>s and manually wrap just the last. Here's
how we'll do this:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</span><span class="special">(</span><span class="identifier">xf_overloads</span><span class="special">,</span><span class="identifier"> f</span><span class="special">,</span><span class="number"> 1</span><span class="special">,</span><span class="number"> 4</span><span class="special">)</span></tt></pre>
<p>
Create a member function pointers as above for both X::f overloads:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">bool</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx1</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> double</span><span class="special">,</span><span class="keyword"> char</span><span class="special">)</span><span class="special"> =</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span><span class="keyword">
int</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx2</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> int</span><span class="special">,</span><span class="keyword"> int</span><span class="special">)</span><span class="special"> =</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span></tt></pre>
<p>
Then...</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx1</span><span class="special">,</span><span class="identifier"> xf_overloads</span><span class="special">());</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx2</span><span class="special">)</span></tt></pre>
</div>
</div>
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<title> Building Hello World</title>
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.hello"></a> Building Hello World</h2></div></div></div>
<a name="hello.from_start_to_finish"></a><h2>
<a name="id374047"></a>From Start To Finish</h2>
<p>
Now the first thing you'd want to do is to build the Hello World module and
try it for yourself in Python. In this section, we shall outline the steps
necessary to achieve that. We shall use the build tool that comes bundled
with every boost distribution: <span class="bold"><b>bjam</b></span>.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>Building without bjam</b></span><br><br>
Besides bjam, there are of course other ways to get your module built.
What's written here should not be taken as "the one and only way".
There are of course other build tools apart from <tt class="literal">bjam</tt>.<br><br>
Take note however that the preferred build tool for Boost.Python is bjam.
There are so many ways to set up the build incorrectly. Experience shows
that 90% of the "I can't build Boost.Python" problems come from people
who had to use a different tool.
</td></tr></tbody>
</table></div>
<p>
We shall skip over the details. Our objective will be to simply create the
hello world module and run it in Python. For a complete reference to
building Boost.Python, check out: <a href="../../../../building.html" target="_top">building.html</a>.
After this brief <span class="emphasis"><em>bjam</em></span> tutorial, we should have built two DLLs:</p>
<div class="itemizedlist"><ul type="disc">
<li>
boost_python.dll
</li>
<li>
hello.pyd
</li>
</ul></div>
<p>
if you are on Windows, and</p>
<div class="itemizedlist"><ul type="disc">
<li>
libboost_python.so
</li>
<li>
hello.so
</li>
</ul></div>
<p>
if you are on Unix.</p>
<p>
The tutorial example can be found in the directory:
<tt class="literal">libs/python/example/tutorial</tt>. There, you can find:</p>
<div class="itemizedlist"><ul type="disc">
<li>
hello.cpp
</li>
<li>
Jamfile
</li>
</ul></div>
<p>
The <tt class="literal">hello.cpp</tt> file is our C++ hello world example. The <tt class="literal">Jamfile</tt> is a
minimalist <span class="emphasis"><em>bjam</em></span> script that builds the DLLs for us.</p>
<p>
Before anything else, you should have the bjam executable in your boost
directory or somewhere in your path such that <tt class="literal">bjam</tt> can be executed in
the command line. Pre-built Boost.Jam executables are available for most
platforms. The complete list of Bjam executables can be found
<a href="http://sourceforge.net/project/showfiles.php?group_id=7586" target="_top">here</a>.</p>
<a name="hello.let_s_jam_"></a><h2>
<a name="id372653"></a>Let's Jam!</h2>
<p><span class="inlinemediaobject"><img src="../images/jam.png"></span></p>
<p>
Here is our minimalist Jamfile:</p>
<pre class="programlisting"><tt class="literal"># This is the top of our own project tree
project-root ;
import python ;
extension hello # Declare a Python extension called hello
: hello.cpp # source
# requirements and dependencies for Boost.Python extensions
&lt;template&gt;@boost/libs/python/build/extension
;
</tt></pre>
<p>
First, we need to specify our location. You may place your project anywhere.
<tt class="literal">project-root</tt> allows you to do that.</p>
<pre class="programlisting"><tt class="literal">project-root ;
</tt></pre>
<p>
By doing so, you'll need a Jamrules file. Simply copy the one in the
<a href="../../../../../example/tutorial/Jamrules" target="_top">example/tutorial directory</a> and tweak
the <tt class="literal">path-global BOOST_ROOT</tt> to where your boost root directory is. The file
has <a href="../../../../../example/tutorial/Jamrules" target="_top">detailed instructions</a> you can follow.</p>
<p>
Then we will import the definitions needed by Python modules:</p>
<pre class="programlisting"><tt class="literal">import python ;
</tt></pre>
<p>
Finally we declare our <tt class="literal">hello</tt> extension:</p>
<pre class="programlisting"><tt class="literal">extension hello # Declare a Python extension called hello
: hello.cpp # source
# requirements and dependencies for Boost.Python extensions
&lt;template&gt;@boost/libs/python/build/extension
;
</tt></pre>
<p>
The last part tells BJam that we are depending on the Boost Python Library.</p>
<a name="hello.running_bjam"></a><h2>
<a name="id372775"></a>Running bjam</h2>
<p><span class="emphasis"><em>bjam</em></span> is run using your operating system's command line interpreter.</p>
<div class="blockquote"><blockquote class="blockquote"><p>Start it up.</p></blockquote></div>
<p>
Make sure that the environment is set so that we can invoke the C++
compiler. With MSVC, that would mean running the <tt class="literal">Vcvars32.bat</tt> batch
file. For instance:</p>
<pre class="programlisting"><tt class="literal">C:\Program Files\Microsoft Visual Studio .NET 2003\Common7\Tools\vsvars32.bat
</tt></pre>
<p>
Some environment variables will have to be setup for proper building of our
Python modules. Example:</p>
<pre class="programlisting"><tt class="literal">set PYTHON_ROOT=c:/dev/tools/python
set PYTHON_VERSION=2.2
</tt></pre>
<p>
The above assumes that the Python installation is in <tt class="literal">c:/dev/tools/python</tt>
and that we are using Python version 2.2. You'll have to tweak these
appropriately.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/tip.png"></span> Be sure not to include a third number, e.g. <span class="bold"><b>not</b></span> "2.2.1",
even if that's the version you have.</td></tr></tbody>
</table></div>
<p>
Take note that you may also do that through the Jamrules file we put in
our project as detailed above. The file
has <a href="../../../../../example/tutorial/Jamrules" target="_top">detailed instructions</a> you
can follow.</p>
<p>
Now we are ready... Be sure to <tt class="literal">cd</tt> to <tt class="literal">libs/python/example/tutorial</tt>
where the tutorial <tt class="literal">"hello.cpp"</tt> and the <tt class="literal">"Jamfile"</tt> is situated.</p>
<p>
Finally:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">bjam</span><span class="special"> -</span><span class="identifier">sTOOLS</span><span class="special">=</span><span class="identifier">vc</span><span class="special">-</span><span class="number">7</span><span class="identifier">_1</span></tt></pre>
<p>
We are again assuming that we are using Microsoft Visual C++ version 7.1. If
not, then you will have to specify the appropriate tool. See
<a href="../../../../../../../tools/build/index.html" target="_top">Building Boost Libraries</a> for
further details.</p>
<p>
It should be building now:</p>
<pre class="programlisting"><tt class="literal">cd C:\dev\boost\libs\python\example\tutorial
bjam -sTOOLS=msvc
...patience...
...found 1703 targets...
...updating 40 targets...
</tt></pre>
<p>
And so on... Finally:</p>
<pre class="programlisting"><tt class="literal">Creating library bin\boost\libs\python\build\boost_python.dll\vc-7_1\debug\th
reading-multi\boost_python.lib and object bin\boost\libs\python\build\boost_pyth
on.dll\vc-7_1\debug\threading-multi\boost_python.exp
vc-C++ bin\tutorial\hello.pyd\vc-7_1\debug\threading-multi\hello.obj
hello.cpp
vc-Link bin\tutorial\hello.pyd\vc-7_1\debug\threading-multi\hello.pyd bin\tutori
al\hello.pyd\vc-7_1\debug\threading-multi\hello.lib
Creating library bin\tutorial\hello.pyd\vc-7_1\debug\threading-multi\hello.li
b and object bin\tutorial\hello.pyd\vc-7_1\debug\threading-multi\hello.exp
...updated 31 targets...
</tt></pre>
<p>
If all is well, you should now have:</p>
<div class="itemizedlist"><ul type="disc">
<li>
boost_python.dll
</li>
<li>
hello.pyd
</li>
</ul></div>
<p>
if you are on Windows, and</p>
<div class="itemizedlist"><ul type="disc">
<li>
libboost_python.so
</li>
<li>
hello.so
</li>
</ul></div>
<p>
if you are on Unix.</p>
<p><tt class="literal">boost_python.dll</tt> and <tt class="literal">hello.pyd</tt> can be found somewhere in your project's
<tt class="literal">bin</tt> directory. After a successful build, you can just link in these DLLs with
the Python interpreter. In Windows for example, you can simply put these libraries
inside the directory where the Python executable is.</p>
<p>
You may now fire up Python and run our hello module:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> hello</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> print</span><span class="identifier"> hello</span><span class="special">.</span><span class="identifier">greet</span><span class="special">()</span><span class="identifier">
hello</span><span class="special">,</span><span class="identifier"> world</span></tt></pre>
<p></p>
<div class="blockquote"><blockquote class="blockquote"><p><span class="bold"><b>There you go... Have fun!</b></span></p></blockquote></div>
</div>
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</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.iterators"></a>Iterators</h2></div></div></div>
<p>
In C++, and STL in particular, we see iterators everywhere. Python also has
iterators, but these are two very different beasts.</p>
<p><span class="bold"><b>C++ iterators:</b></span></p>
<div class="itemizedlist"><ul type="disc">
<li>
C++ has 5 type categories (random-access, bidirectional, forward, input, output)
</li>
<li>
There are 2 Operation categories: reposition, access
</li>
<li>
A pair of iterators is needed to represent a (first/last) range.
</li>
</ul></div>
<p><span class="bold"><b>Python Iterators:</b></span></p>
<div class="itemizedlist"><ul type="disc">
<li>
1 category (forward)
</li>
<li>
1 operation category (next())
</li>
<li>
Raises StopIteration exception at end
</li>
</ul></div>
<p>
The typical Python iteration protocol: <tt class="literal"><span class="bold"><b>for y in x...</b></span></tt> is as follows:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">iter</span><span class="special"> =</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">__iter__</span><span class="special">()</span><span class="comment"> # get iterator
</span><span class="keyword">try</span><span class="special">:</span><span class="keyword">
while</span><span class="number"> 1</span><span class="special">:</span><span class="identifier">
y</span><span class="special"> =</span><span class="identifier"> iter</span><span class="special">.</span><span class="identifier">next</span><span class="special">()</span><span class="comment"> # get each item
</span><span class="special"> ...</span><span class="comment"> # process y
</span><span class="keyword">except</span><span class="identifier"> StopIteration</span><span class="special">:</span><span class="keyword"> pass</span><span class="comment"> # iterator exhausted
</span></tt></pre>
<p>
Boost.Python provides some mechanisms to make C++ iterators play along
nicely as Python iterators. What we need to do is to produce
appropriate <tt class="computeroutput"><span class="identifier">__iter__</span></tt> function from C++ iterators that is compatible
with the Python iteration protocol. For example:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> get_iterator</span><span class="special"> =</span><span class="identifier"> iterator</span><span class="special">&lt;</span><span class="identifier">vector</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;</span><span class="special"> &gt;();</span><span class="identifier">
object</span><span class="identifier"> iter</span><span class="special"> =</span><span class="identifier"> get_iterator</span><span class="special">(</span><span class="identifier">v</span><span class="special">);</span><span class="identifier">
object</span><span class="identifier"> first</span><span class="special"> =</span><span class="identifier"> iter</span><span class="special">.</span><span class="identifier">next</span><span class="special">();</span></tt></pre>
<p>
Or for use in class_&lt;&gt;:</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"__iter__"</span><span class="special">,</span><span class="identifier"> iterator</span><span class="special">&lt;</span><span class="identifier">vector</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;</span><span class="special"> &gt;())</span></tt></pre>
<p><span class="bold"><b>range</b></span></p>
<p>
We can create a Python savvy iterator using the range function:</p>
<div class="itemizedlist"><ul type="disc">
<li>
range(start, finish)
</li>
<li>
range&lt;Policies,Target&gt;(start, finish)
</li>
</ul></div>
<p>
Here, start/finish may be one of:</p>
<div class="itemizedlist"><ul type="disc">
<li>
member data pointers
</li>
<li>
member function pointers
</li>
<li>
adaptable function object (use Target parameter)
</li>
</ul></div>
<p><span class="bold"><b>iterator</b></span></p>
<div class="itemizedlist"><ul type="disc"><li>
iterator&lt;T, Policies&gt;()
</li></ul></div>
<p>
Given a container <tt class="literal">T</tt>, iterator is a shortcut that simply calls <tt class="literal">range</tt>
with &amp;T::begin, &amp;T::end.</p>
<p>
Let's put this into action... Here's an example from some hypothetical
bogon Particle accelerator code:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">f</span><span class="special"> =</span><span class="identifier"> Field</span><span class="special">()</span><span class="keyword">
for</span><span class="identifier"> x</span><span class="keyword"> in</span><span class="identifier"> f</span><span class="special">.</span><span class="identifier">pions</span><span class="special">:</span><span class="identifier">
smash</span><span class="special">(</span><span class="identifier">x</span><span class="special">)</span><span class="keyword">
for</span><span class="identifier"> y</span><span class="keyword"> in</span><span class="identifier"> f</span><span class="special">.</span><span class="identifier">bogons</span><span class="special">:</span><span class="identifier">
count</span><span class="special">(</span><span class="identifier">y</span><span class="special">)</span></tt></pre>
<p>
Now, our C++ Wrapper:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">F</span><span class="special">&gt;(</span><span class="string">"Field"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">property</span><span class="special">(</span><span class="string">"pions"</span><span class="special">,</span><span class="identifier"> range</span><span class="special">(&amp;</span><span class="identifier">F</span><span class="special">::</span><span class="identifier">p_begin</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">F</span><span class="special">::</span><span class="identifier">p_end</span><span class="special">))</span><span class="special">
.</span><span class="identifier">property</span><span class="special">(</span><span class="string">"bogons"</span><span class="special">,</span><span class="identifier"> range</span><span class="special">(&amp;</span><span class="identifier">F</span><span class="special">::</span><span class="identifier">b_begin</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">F</span><span class="special">::</span><span class="identifier">b_end</span><span class="special">));</span></tt></pre>
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.object"></a> Object Interface</h2></div></div></div>
<div class="toc"><dl>
<dt><span class="section"><a href="object.html#python.basic_interface">Basic Interface</a></span></dt>
<dt><span class="section"><a href="object.html#python.derived_object_types">Derived Object types</a></span></dt>
<dt><span class="section"><a href="object.html#python.extracting_c___objects">Extracting C++ objects</a></span></dt>
<dt><span class="section"><a href="object.html#python.enums">Enums</a></span></dt>
</dl></div>
<p>
Python is dynamically typed, unlike C++ which is statically typed. Python
variables may hold an integer, a float, list, dict, tuple, str, long etc.,
among other things. In the viewpoint of Boost.Python and C++, these
Pythonic variables are just instances of class <tt class="literal">object</tt>. We shall see in
this chapter how to deal with Python objects.</p>
<p>
As mentioned, one of the goals of Boost.Python is to provide a
bidirectional mapping between C++ and Python while maintaining the Python
feel. Boost.Python C++ <tt class="literal">object</tt>s are as close as possible to Python. This
should minimize the learning curve significantly.</p>
<p><span class="inlinemediaobject"><img src="../images/python.png"></span></p>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.basic_interface"></a>Basic Interface</h3></div></div></div>
<p>
Class <tt class="literal">object</tt> wraps <tt class="literal">PyObject*</tt>. All the intricacies of dealing with
<tt class="literal">PyObject</tt>s such as managing reference counting are handled by the
<tt class="literal">object</tt> class. C++ object interoperability is seamless. Boost.Python C++
<tt class="literal">object</tt>s can in fact be explicitly constructed from any C++ object.</p>
<p>
To illustrate, this Python code snippet:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">def</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">x</span><span class="special">,</span><span class="identifier"> y</span><span class="special">):</span><span class="keyword">
if</span><span class="special"> (</span><span class="identifier">y</span><span class="special"> ==</span><span class="string"> 'foo'</span><span class="special">):</span><span class="identifier">
x</span><span class="special">[</span><span class="number">3</span><span class="special">:</span><span class="number">7</span><span class="special">]</span><span class="special"> =</span><span class="string"> 'bar'</span><span class="keyword">
else</span><span class="special">:</span><span class="identifier">
x</span><span class="special">.</span><span class="identifier">items</span><span class="special"> +=</span><span class="identifier"> y</span><span class="special">(</span><span class="number">3</span><span class="special">,</span><span class="identifier"> x</span><span class="special">)</span><span class="keyword">
return</span><span class="identifier"> x</span><span class="keyword">
def</span><span class="identifier"> getfunc</span><span class="special">():</span><span class="keyword">
return</span><span class="identifier"> f</span><span class="special">;</span></tt></pre>
<p>
Can be rewritten in C++ using Boost.Python facilities this way:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">object</span><span class="identifier"> x</span><span class="special">,</span><span class="identifier"> object</span><span class="identifier"> y</span><span class="special">)</span><span class="special"> {</span><span class="keyword">
if</span><span class="special"> (</span><span class="identifier">y</span><span class="special"> ==</span><span class="string"> "foo"</span><span class="special">)</span><span class="identifier">
x</span><span class="special">.</span><span class="identifier">slice</span><span class="special">(</span><span class="number">3</span><span class="special">,</span><span class="number">7</span><span class="special">)</span><span class="special"> =</span><span class="string"> "bar"</span><span class="special">;</span><span class="keyword">
else</span><span class="identifier">
x</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"items"</span><span class="special">)</span><span class="special"> +=</span><span class="identifier"> y</span><span class="special">(</span><span class="number">3</span><span class="special">,</span><span class="identifier"> x</span><span class="special">);</span><span class="keyword">
return</span><span class="identifier"> x</span><span class="special">;</span><span class="special">
}</span><span class="identifier">
object</span><span class="identifier"> getfunc</span><span class="special">()</span><span class="special"> {</span><span class="keyword">
return</span><span class="identifier"> object</span><span class="special">(</span><span class="identifier">f</span><span class="special">);</span><span class="special">
}</span></tt></pre>
<p>
Apart from cosmetic differences due to the fact that we are writing the
code in C++, the look and feel should be immediately apparent to the Python
coder.</p>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.derived_object_types"></a>Derived Object types</h3></div></div></div>
<p>
Boost.Python comes with a set of derived <tt class="literal">object</tt> types corresponding to
that of Python's:</p>
<div class="itemizedlist"><ul type="disc">
<li>
list
</li>
<li>
dict
</li>
<li>
tuple
</li>
<li>
str
</li>
<li>
long_
</li>
<li>
enum
</li>
</ul></div>
<p>
These derived <tt class="literal">object</tt> types act like real Python types. For instance:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">str</span><span class="special">(</span><span class="number">1</span><span class="special">)</span><span class="special"> ==&gt;</span><span class="string"> "1"</span></tt></pre>
<p>
Wherever appropriate, a particular derived <tt class="literal">object</tt> has corresponding
Python type's methods. For instance, <tt class="literal">dict</tt> has a <tt class="literal">keys()</tt> method:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">d</span><span class="special">.</span><span class="identifier">keys</span><span class="special">()</span></tt></pre>
<p><tt class="literal">make_tuple</tt> is provided for declaring <span class="emphasis"><em>tuple literals</em></span>. Example:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">make_tuple</span><span class="special">(</span><span class="number">123</span><span class="special">,</span><span class="char"> 'D'</span><span class="special">,</span><span class="string"> "Hello, World"</span><span class="special">,</span><span class="number"> 0.0</span><span class="special">);</span></tt></pre>
<p>
In C++, when Boost.Python <tt class="literal">object</tt>s are used as arguments to functions,
subtype matching is required. For example, when a function <tt class="literal">f</tt>, as
declared below, is wrapped, it will only accept instances of Python's
<tt class="literal">str</tt> type and subtypes.</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">void</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">str</span><span class="identifier"> name</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
object</span><span class="identifier"> n2</span><span class="special"> =</span><span class="identifier"> name</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"upper"</span><span class="special">)();</span><span class="comment"> // NAME = name.upper()
</span><span class="identifier"> str</span><span class="identifier"> NAME</span><span class="special"> =</span><span class="identifier"> name</span><span class="special">.</span><span class="identifier">upper</span><span class="special">();</span><span class="comment"> // better
</span><span class="identifier"> object</span><span class="identifier"> msg</span><span class="special"> =</span><span class="string"> "%s is bigger than %s"</span><span class="special"> %</span><span class="identifier"> make_tuple</span><span class="special">(</span><span class="identifier">NAME</span><span class="special">,</span><span class="identifier">name</span><span class="special">);</span><span class="special">
}</span></tt></pre>
<p>
In finer detail:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">str</span><span class="identifier"> NAME</span><span class="special"> =</span><span class="identifier"> name</span><span class="special">.</span><span class="identifier">upper</span><span class="special">();</span></tt></pre>
<p>
Illustrates that we provide versions of the str type's methods as C++
member functions.</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> msg</span><span class="special"> =</span><span class="string"> "%s is bigger than %s"</span><span class="special"> %</span><span class="identifier"> make_tuple</span><span class="special">(</span><span class="identifier">NAME</span><span class="special">,</span><span class="identifier">name</span><span class="special">);</span></tt></pre>
<p>
Demonstrates that you can write the C++ equivalent of <tt class="literal">"format" % x,y,z</tt>
in Python, which is useful since there's no easy way to do that in std C++.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/alert.png"></span><span class="bold"><b>Beware</b></span> the common pitfall of forgetting that the constructors
of most of Python's mutable types make copies, just as in Python.
</td></tr></tbody>
</table></div>
<p>
Python:
</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> d</span><span class="special"> =</span><span class="identifier"> dict</span><span class="special">(</span><span class="identifier">x</span><span class="special">.</span><span class="identifier">__dict__</span><span class="special">)</span><span class="comment"> # copies x.__dict__
</span><span class="special">&gt;&gt;&gt;</span><span class="identifier"> d</span><span class="special">[</span><span class="string">'whatever'</span><span class="special">]</span><span class="comment"> # modifies the copy
</span></tt></pre>
<p>
C++:
</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">dict</span><span class="identifier"> d</span><span class="special">(</span><span class="identifier">x</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"__dict__"</span><span class="special">));</span><span class="comment"> // copies x.__dict__
</span><span class="identifier">d</span><span class="special">[</span><span class="char">'whatever'</span><span class="special">]</span><span class="special"> =</span><span class="number"> 3</span><span class="special">;</span><span class="comment"> // modifies the copy
</span></tt></pre>
<a name="derived_object_types.class__lt_t_gt__as_objects"></a><h2>
<a name="id454735"></a>class_&lt;T&gt; as objects</h2>
<p>
Due to the dynamic nature of Boost.Python objects, any <tt class="literal">class_&lt;T&gt;</tt> may
also be one of these types! The following code snippet wraps the class
(type) object.</p>
<p>
We can use this to create wrapped instances. Example:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> vec345</span><span class="special"> =</span><span class="special"> (</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">Vec2</span><span class="special">&gt;(</span><span class="string">"Vec2"</span><span class="special">,</span><span class="identifier"> init</span><span class="special">&lt;</span><span class="keyword">double</span><span class="special">,</span><span class="keyword"> double</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def_readonly</span><span class="special">(</span><span class="string">"length"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Point</span><span class="special">::</span><span class="identifier">length</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def_readonly</span><span class="special">(</span><span class="string">"angle"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Point</span><span class="special">::</span><span class="identifier">angle</span><span class="special">)</span><span class="special">
)(</span><span class="number">3.0</span><span class="special">,</span><span class="number"> 4.0</span><span class="special">);</span><span class="identifier">
assert</span><span class="special">(</span><span class="identifier">vec345</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"length"</span><span class="special">)</span><span class="special"> ==</span><span class="number"> 5.0</span><span class="special">);</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.extracting_c___objects"></a>Extracting C++ objects</h3></div></div></div>
<p>
At some point, we will need to get C++ values out of object instances. This
can be achieved with the <tt class="literal">extract&lt;T&gt;</tt> function. Consider the following:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">double</span><span class="identifier"> x</span><span class="special"> =</span><span class="identifier"> o</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"length"</span><span class="special">);</span><span class="comment"> // compile error
</span></tt></pre>
<p>
In the code above, we got a compiler error because Boost.Python
<tt class="literal">object</tt> can't be implicitly converted to <tt class="literal">double</tt>s. Instead, what
we wanted to do above can be achieved by writing:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">double</span><span class="identifier"> l</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="keyword">double</span><span class="special">&gt;(</span><span class="identifier">o</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"length"</span><span class="special">));</span><span class="identifier">
Vec2</span><span class="special">&amp;</span><span class="identifier"> v</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="identifier">Vec2</span><span class="special">&amp;&gt;(</span><span class="identifier">o</span><span class="special">);</span><span class="identifier">
assert</span><span class="special">(</span><span class="identifier">l</span><span class="special"> ==</span><span class="identifier"> v</span><span class="special">.</span><span class="identifier">length</span><span class="special">());</span></tt></pre>
<p>
The first line attempts to extract the "length" attribute of the Boost.Python
<tt class="literal">object</tt>. The second line attempts to <span class="emphasis"><em>extract</em></span> the <tt class="literal">Vec2</tt> object from held
by the Boost.Python <tt class="literal">object</tt>.</p>
<p>
Take note that we said "attempt to" above. What if the Boost.Python <tt class="literal">object</tt>
does not really hold a <tt class="literal">Vec2</tt> type? This is certainly a possibility considering
the dynamic nature of Python <tt class="literal">object</tt>s. To be on the safe side, if the C++ type
can't be extracted, an appropriate exception is thrown. To avoid an exception,
we need to test for extractibility:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">extract</span><span class="special">&lt;</span><span class="identifier">Vec2</span><span class="special">&amp;&gt;</span><span class="identifier"> x</span><span class="special">(</span><span class="identifier">o</span><span class="special">);</span><span class="keyword">
if</span><span class="special"> (</span><span class="identifier">x</span><span class="special">.</span><span class="identifier">check</span><span class="special">())</span><span class="special"> {</span><span class="identifier">
Vec2</span><span class="special">&amp;</span><span class="identifier"> v</span><span class="special"> =</span><span class="identifier"> x</span><span class="special">();</span><span class="special"> ...</span></tt></pre>
<p><span class="inlinemediaobject"><img src="../images/tip.png"></span> The astute reader might have noticed that the <tt class="literal">extract&lt;T&gt;</tt>
facility in fact solves the mutable copying problem:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">dict</span><span class="identifier"> d</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="identifier">dict</span><span class="special">&gt;(</span><span class="identifier">x</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"__dict__"</span><span class="special">));</span><span class="identifier">
d</span><span class="special">[</span><span class="char">'whatever'</span><span class="special">]</span><span class="special"> =</span><span class="number"> 3</span><span class="special">;</span>          #<span class="identifier"> modifies</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">__dict__</span><span class="special"> !</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.enums"></a>Enums</h3></div></div></div>
<p>
Boost.Python has a nifty facility to capture and wrap C++ enums. While
Python has no <tt class="literal">enum</tt> type, we'll often want to expose our C++ enums to
Python as an <tt class="literal">int</tt>. Boost.Python's enum facility makes this easy while
taking care of the proper conversions from Python's dynamic typing to C++'s
strong static typing (in C++, ints cannot be implicitly converted to
enums). To illustrate, given a C++ enum:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">enum</span><span class="identifier"> choice</span><span class="special"> {</span><span class="identifier"> red</span><span class="special">,</span><span class="identifier"> blue</span><span class="special"> };</span></tt></pre>
<p>
the construct:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">enum_</span><span class="special">&lt;</span><span class="identifier">choice</span><span class="special">&gt;(</span><span class="string">"choice"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">value</span><span class="special">(</span><span class="string">"red"</span><span class="special">,</span><span class="identifier"> red</span><span class="special">)</span><span class="special">
.</span><span class="identifier">value</span><span class="special">(</span><span class="string">"blue"</span><span class="special">,</span><span class="identifier"> blue</span><span class="special">)</span><span class="special">
;</span></tt></pre>
<p>
can be used to expose to Python. The new enum type is created in the
current <tt class="literal">scope()</tt>, which is usually the current module. The snippet above
creates a Python class derived from Python's <tt class="literal">int</tt> type which is
associated with the C++ type passed as its first parameter.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>what is a scope?</b></span><br><br>
The scope is a class that has an
associated global Python object which controls the Python namespace in
which new extension classes and wrapped functions will be defined as
attributes. Details can be found <a href="../../../../v2/scope.html" target="_top">here</a>.</td></tr></tbody>
</table></div>
<p>
You can access those values in Python as</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> my_module</span><span class="special">.</span><span class="identifier">choice</span><span class="special">.</span><span class="identifier">red</span><span class="identifier">
my_module</span><span class="special">.</span><span class="identifier">choice</span><span class="special">.</span><span class="identifier">red</span></tt></pre>
<p>
where my_module is the module where the enum is declared. You can also
create a new scope around a class:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">scope</span><span class="identifier"> in_X</span><span class="special"> =</span><span class="identifier"> class_</span><span class="special">&lt;</span><span class="identifier">X</span><span class="special">&gt;(</span><span class="string">"X"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="special"> ...</span><span class="special"> )</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="special"> ...</span><span class="special"> )</span><span class="special">
;</span><span class="comment">
// Expose X::nested as X.nested
</span><span class="identifier">enum_</span><span class="special">&lt;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">nested</span><span class="special">&gt;(</span><span class="string">"nested"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">value</span><span class="special">(</span><span class="string">"red"</span><span class="special">,</span><span class="identifier"> red</span><span class="special">)</span><span class="special">
.</span><span class="identifier">value</span><span class="special">(</span><span class="string">"blue"</span><span class="special">,</span><span class="identifier"> blue</span><span class="special">)</span><span class="special">
;</span></tt></pre>
</div>
</div>
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.techniques"></a> General Techniques</h2></div></div></div>
<div class="toc"><dl>
<dt><span class="section"><a href="techniques.html#python.creating_packages">Creating Packages</a></span></dt>
<dt><span class="section"><a href="techniques.html#python.extending_wrapped_objects_in_python">Extending Wrapped Objects in Python</a></span></dt>
<dt><span class="section"><a href="techniques.html#python.reducing_compiling_time">Reducing Compiling Time</a></span></dt>
</dl></div>
<p>
Here are presented some useful techniques that you can use while wrapping code with Boost.Python.</p>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.creating_packages"></a>Creating Packages</h3></div></div></div>
<p>
A Python package is a collection of modules that provide to the user a certain
functionality. If you're not familiar on how to create packages, a good
introduction to them is provided in the
<a href="http://www.python.org/doc/current/tut/node8.html" target="_top">Python Tutorial</a>.</p>
<p>
But we are wrapping C++ code, using Boost.Python. How can we provide a nice
package interface to our users? To better explain some concepts, let's work
with an example.</p>
<p>
We have a C++ library that works with sounds: reading and writing various
formats, applying filters to the sound data, etc. It is named (conveniently)
<tt class="literal">sounds</tt>. Our library already has a neat C++ namespace hierarchy, like so:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">sounds</span><span class="special">::</span><span class="identifier">core</span><span class="identifier">
sounds</span><span class="special">::</span><span class="identifier">io</span><span class="identifier">
sounds</span><span class="special">::</span><span class="identifier">filters</span></tt></pre>
<p>
We would like to present this same hierarchy to the Python user, allowing him
to write code like this:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="identifier">
sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">.</span><span class="identifier">echo</span><span class="special">(...)</span> #<span class="identifier"> echo</span><span class="identifier"> is</span><span class="identifier"> a</span><span class="identifier"> C</span><span class="special">++</span><span class="identifier"> function</span></tt></pre>
<p>
The first step is to write the wrapping code. We have to export each module
separately with Boost.Python, like this:</p>
<pre class="programlisting"><tt class="literal"><span class="comment">/* file core.cpp */</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">core</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/* export everything in the sounds::core namespace */</span><span class="special">
...</span><span class="special">
}</span><span class="comment">
/* file io.cpp */</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">io</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/* export everything in the sounds::io namespace */</span><span class="special">
...</span><span class="special">
}</span><span class="comment">
/* file filters.cpp */</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">filters</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/* export everything in the sounds::filters namespace */</span><span class="special">
...</span><span class="special">
}</span></tt></pre>
<p>
Compiling these files will generate the following Python extensions:
<tt class="literal">core.pyd</tt>, <tt class="literal">io.pyd</tt> and <tt class="literal">filters.pyd</tt>.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span> The extension <tt class="literal">.pyd</tt> is used for python extension modules, which
are just shared libraries. Using the default for your system, like <tt class="literal">.so</tt> for
Unix and <tt class="literal">.dll</tt> for Windows, works just as well.</td></tr></tbody>
</table></div>
<p>
Now, we create this directory structure for our Python package:</p>
<pre class="programlisting"><tt class="literal">sounds/
__init__.py
core.pyd
filters.pyd
io.pyd
</tt></pre>
<p>
The file <tt class="literal">__init__.py</tt> is what tells Python that the directory <tt class="literal">sounds/</tt> is
actually a Python package. It can be a empty file, but can also perform some
magic, that will be shown later.</p>
<p>
Now our package is ready. All the user has to do is put <tt class="literal">sounds</tt> into his
<a href="http://www.python.org/doc/current/tut/node8.html#SECTION008110000000000000000" target="_top">PYTHONPATH</a>
and fire up the interpreter:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">io</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> sound</span><span class="special"> =</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">io</span><span class="special">.</span><span class="identifier">open</span><span class="special">(</span><span class="string">'file.mp3'</span><span class="special">)</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> new_sound</span><span class="special"> =</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">.</span><span class="identifier">echo</span><span class="special">(</span><span class="identifier">sound</span><span class="special">,</span><span class="number"> 1.0</span><span class="special">)</span></tt></pre>
<p>
Nice heh?</p>
<p>
This is the simplest way to create hierarchies of packages, but it is not very
flexible. What if we want to add a <span class="emphasis"><em>pure</em></span> Python function to the filters
package, for instance, one that applies 3 filters in a sound object at once?
Sure, you can do this in C++ and export it, but why not do so in Python? You
don't have to recompile the extension modules, plus it will be easier to write
it.</p>
<p>
If we want this flexibility, we will have to complicate our package hierarchy a
little. First, we will have to change the name of the extension modules:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="comment">/* file core.cpp */</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">_core</span><span class="special">)</span><span class="special">
{</span><span class="special">
...</span><span class="comment">
/* export everything in the sounds::core namespace */</span><span class="special">
}</span></tt></pre>
<p>
Note that we added an underscore to the module name. The filename will have to
be changed to <tt class="literal">_core.pyd</tt> as well, and we do the same to the other extension modules.
Now, we change our package hierarchy like so:</p>
<pre class="programlisting"><tt class="literal">sounds/
__init__.py
core/
__init__.py
_core.pyd
filters/
__init__.py
_filters.pyd
io/
__init__.py
_io.pyd
</tt></pre>
<p>
Note that we created a directory for each extension module, and added a
__init__.py to each one. But if we leave it that way, the user will have to
access the functions in the core module with this syntax:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">core</span><span class="special">.</span><span class="identifier">_core</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">core</span><span class="special">.</span><span class="identifier">_core</span><span class="special">.</span><span class="identifier">foo</span><span class="special">(...)</span></tt></pre>
<p>
which is not what we want. But here enters the <tt class="literal">__init__.py</tt> magic: everything
that is brought to the <tt class="literal">__init__.py</tt> namespace can be accessed directly by the
user. So, all we have to do is bring the entire namespace from <tt class="literal">_core.pyd</tt>
to <tt class="literal">core/__init__.py</tt>. So add this line of code to <tt class="literal">sounds<span class="emphasis"><em>core</em></span>__init__.py</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">from</span><span class="identifier"> _core</span><span class="keyword"> import</span><span class="special"> *</span></tt></pre>
<p>
We do the same for the other packages. Now the user accesses the functions and
classes in the extension modules like before:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">.</span><span class="identifier">echo</span><span class="special">(...)</span></tt></pre>
<p>
with the additional benefit that we can easily add pure Python functions to
any module, in a way that the user can't tell the difference between a C++
function and a Python function. Let's add a <span class="emphasis"><em>pure</em></span> Python function,
<tt class="literal">echo_noise</tt>, to the <tt class="literal">filters</tt> package. This function applies both the
<tt class="literal">echo</tt> and <tt class="literal">noise</tt> filters in sequence in the given <tt class="literal">sound</tt> object. We
create a file named <tt class="literal">sounds/filters/echo_noise.py</tt> and code our function:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">import</span><span class="identifier"> _filters</span><span class="keyword">
def</span><span class="identifier"> echo_noise</span><span class="special">(</span><span class="identifier">sound</span><span class="special">):</span><span class="identifier">
s</span><span class="special"> =</span><span class="identifier"> _filters</span><span class="special">.</span><span class="identifier">echo</span><span class="special">(</span><span class="identifier">sound</span><span class="special">)</span><span class="identifier">
s</span><span class="special"> =</span><span class="identifier"> _filters</span><span class="special">.</span><span class="identifier">noise</span><span class="special">(</span><span class="identifier">sound</span><span class="special">)</span><span class="keyword">
return</span><span class="identifier"> s</span></tt></pre>
<p>
Next, we add this line to <tt class="literal">sounds<span class="emphasis"><em>filters</em></span>__init__.py</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">from</span><span class="identifier"> echo_noise</span><span class="keyword"> import</span><span class="identifier"> echo_noise</span></tt></pre>
<p>
And that's it. The user now accesses this function like any other function
from the <tt class="literal">filters</tt> package:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">.</span><span class="identifier">echo_noise</span><span class="special">(...)</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.extending_wrapped_objects_in_python"></a>Extending Wrapped Objects in Python</h3></div></div></div>
<p>
Thanks to Python's flexibility, you can easily add new methods to a class,
even after it was already created:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> class</span><span class="identifier"> C</span><span class="special">(</span><span class="identifier">object</span><span class="special">):</span><span class="keyword"> pass</span><span class="special">
&gt;&gt;&gt;</span><span class="special">
&gt;&gt;&gt;</span><span class="comment"> # a regular function
</span><span class="special">&gt;&gt;&gt;</span><span class="keyword"> def</span><span class="identifier"> C_str</span><span class="special">(</span><span class="identifier">self</span><span class="special">):</span><span class="keyword"> return</span><span class="string"> 'A C instance!'</span><span class="special">
&gt;&gt;&gt;</span><span class="special">
&gt;&gt;&gt;</span><span class="comment"> # now we turn it in a member function
</span><span class="special">&gt;&gt;&gt;</span><span class="identifier"> C</span><span class="special">.</span><span class="identifier">__str__</span><span class="special"> =</span><span class="identifier"> C_str</span><span class="special">
&gt;&gt;&gt;</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> c</span><span class="special"> =</span><span class="identifier"> C</span><span class="special">()</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> print</span><span class="identifier"> c</span><span class="identifier">
A</span><span class="identifier"> C</span><span class="identifier"> instance</span><span class="special">!</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> C_str</span><span class="special">(</span><span class="identifier">c</span><span class="special">)</span><span class="identifier">
A</span><span class="identifier"> C</span><span class="identifier"> instance</span><span class="special">!</span></tt></pre>
<p>
Yes, Python rox. <span class="inlinemediaobject"><img src="../images/smiley.png"></span></p>
<p>
We can do the same with classes that were wrapped with Boost.Python. Suppose
we have a class <tt class="literal">point</tt> in C++:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">class</span><span class="identifier"> point</span><span class="special"> {...};</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">_geom</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">point</span><span class="special">&gt;(</span><span class="string">"point"</span><span class="special">)...;</span><span class="special">
}</span></tt></pre>
<p>
If we are using the technique from the previous session,
<a href="techniques.html#python.creating_packages" title="Creating Packages">Creating Packages</a>, we can code directly
into <tt class="literal">geom/__init__.py</tt>:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">from</span><span class="identifier"> _geom</span><span class="keyword"> import</span><span class="special"> *</span><span class="comment">
# a regular function
</span><span class="keyword">def</span><span class="identifier"> point_str</span><span class="special">(</span><span class="identifier">self</span><span class="special">):</span><span class="keyword">
return</span><span class="identifier"> str</span><span class="special">((</span><span class="identifier">self</span><span class="special">.</span><span class="identifier">x</span><span class="special">,</span><span class="identifier"> self</span><span class="special">.</span><span class="identifier">y</span><span class="special">))</span><span class="comment">
# now we turn it into a member function
</span><span class="identifier">point</span><span class="special">.</span><span class="identifier">__str__</span><span class="special"> =</span><span class="identifier"> point_str</span></tt></pre>
<p><span class="bold"><b>All</b></span> point instances created from C++ will also have this member function!
This technique has several advantages:</p>
<div class="itemizedlist"><ul type="disc">
<li>
Cut down compile times to zero for these additional functions
</li>
<li>
Reduce the memory footprint to virtually zero
</li>
<li>
Minimize the need to recompile
</li>
<li>
Rapid prototyping (you can move the code to C++ if required without changing the interface)
</li>
</ul></div>
<p>
You can even add a little syntactic sugar with the use of metaclasses. Let's
create a special metaclass that "injects" methods in other classes.</p>
<pre class="programlisting"><tt class="literal"><span class="comment"># The one Boost.Python uses for all wrapped classes.
# You can use here any class exported by Boost instead of "point"
</span><span class="identifier">BoostPythonMetaclass</span><span class="special"> =</span><span class="identifier"> point</span><span class="special">.</span><span class="identifier">__class__</span><span class="keyword">
class</span><span class="identifier"> injector</span><span class="special">(</span><span class="identifier">object</span><span class="special">):</span><span class="keyword">
class</span><span class="identifier"> __metaclass__</span><span class="special">(</span><span class="identifier">BoostPythonMetaclass</span><span class="special">):</span><span class="keyword">
def</span><span class="identifier"> __init__</span><span class="special">(</span><span class="identifier">self</span><span class="special">,</span><span class="identifier"> name</span><span class="special">,</span><span class="identifier"> bases</span><span class="special">,</span><span class="identifier"> dict</span><span class="special">):</span><span class="keyword">
for</span><span class="identifier"> b</span><span class="keyword"> in</span><span class="identifier"> bases</span><span class="special">:</span><span class="keyword">
if</span><span class="identifier"> type</span><span class="special">(</span><span class="identifier">b</span><span class="special">)</span><span class="keyword"> not</span><span class="keyword"> in</span><span class="special"> (</span><span class="identifier">self</span><span class="special">,</span><span class="identifier"> type</span><span class="special">):</span><span class="keyword">
for</span><span class="identifier"> k</span><span class="special">,</span><span class="identifier">v</span><span class="keyword"> in</span><span class="identifier"> dict</span><span class="special">.</span><span class="identifier">items</span><span class="special">():</span><span class="identifier">
setattr</span><span class="special">(</span><span class="identifier">b</span><span class="special">,</span><span class="identifier">k</span><span class="special">,</span><span class="identifier">v</span><span class="special">)</span><span class="keyword">
return</span><span class="identifier"> type</span><span class="special">.</span><span class="identifier">__init__</span><span class="special">(</span><span class="identifier">self</span><span class="special">,</span><span class="identifier"> name</span><span class="special">,</span><span class="identifier"> bases</span><span class="special">,</span><span class="identifier"> dict</span><span class="special">)</span><span class="comment">
# inject some methods in the point foo
</span><span class="keyword">class</span><span class="identifier"> more_point</span><span class="special">(</span><span class="identifier">injector</span><span class="special">,</span><span class="identifier"> point</span><span class="special">):</span><span class="keyword">
def</span><span class="identifier"> __repr__</span><span class="special">(</span><span class="identifier">self</span><span class="special">):</span><span class="keyword">
return</span><span class="string"> 'Point(x=%s, y=%s)'</span><span class="special"> %</span><span class="special"> (</span><span class="identifier">self</span><span class="special">.</span><span class="identifier">x</span><span class="special">,</span><span class="identifier"> self</span><span class="special">.</span><span class="identifier">y</span><span class="special">)</span><span class="keyword">
def</span><span class="identifier"> foo</span><span class="special">(</span><span class="identifier">self</span><span class="special">):</span><span class="keyword">
print</span><span class="string"> 'foo!'</span></tt></pre>
<p>
Now let's see how it got:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> print</span><span class="identifier"> point</span><span class="special">()</span><span class="identifier">
Point</span><span class="special">(</span><span class="identifier">x</span><span class="special">=</span><span class="number">10</span><span class="special">,</span><span class="identifier"> y</span><span class="special">=</span><span class="number">10</span><span class="special">)</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> point</span><span class="special">().</span><span class="identifier">foo</span><span class="special">()</span><span class="identifier">
foo</span><span class="special">!</span></tt></pre>
<p>
Another useful idea is to replace constructors with factory functions:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">_point</span><span class="special"> =</span><span class="identifier"> point</span><span class="keyword">
def</span><span class="identifier"> point</span><span class="special">(</span><span class="identifier">x</span><span class="special">=</span><span class="number">0</span><span class="special">,</span><span class="identifier"> y</span><span class="special">=</span><span class="number">0</span><span class="special">):</span><span class="keyword">
return</span><span class="identifier"> _point</span><span class="special">(</span><span class="identifier">x</span><span class="special">,</span><span class="identifier"> y</span><span class="special">)</span></tt></pre>
<p>
In this simple case there is not much gained, but for constructurs with
many overloads and/or arguments this is often a great simplification, again
with virtually zero memory footprint and zero compile-time overhead for
the keyword support.</p>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.reducing_compiling_time"></a>Reducing Compiling Time</h3></div></div></div>
<p>
If you have ever exported a lot of classes, you know that it takes quite a good
time to compile the Boost.Python wrappers. Plus the memory consumption can
easily become too high. If this is causing you problems, you can split the
class_ definitions in multiple files:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="comment">/* file point.cpp */</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">point</span><span class="special">.</span><span class="identifier">h</span><span class="special">&gt;</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="keyword">
void</span><span class="identifier"> export_point</span><span class="special">()</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">point</span><span class="special">&gt;(</span><span class="string">"point"</span><span class="special">)...;</span><span class="special">
}</span><span class="comment">
/* file triangle.cpp */</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">triangle</span><span class="special">.</span><span class="identifier">h</span><span class="special">&gt;</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="keyword">
void</span><span class="identifier"> export_triangle</span><span class="special">()</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">triangle</span><span class="special">&gt;(</span><span class="string">"triangle"</span><span class="special">)...;</span><span class="special">
}</span></tt></pre>
<p>
Now you create a file <tt class="literal">main.cpp</tt>, which contains the <tt class="literal">BOOST_PYTHON_MODULE</tt>
macro, and call the various export functions inside it.</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">void</span><span class="identifier"> export_point</span><span class="special">();</span><span class="keyword">
void</span><span class="identifier"> export_triangle</span><span class="special">();</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">_geom</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
export_point</span><span class="special">();</span><span class="identifier">
export_triangle</span><span class="special">();</span><span class="special">
}</span></tt></pre>
<p>
Compiling and linking together all this files produces the same result as the
usual approach:</p>
<pre class="programlisting"><tt class="literal"><span class="preprocessor">#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">point</span><span class="special">.</span><span class="identifier">h</span><span class="special">&gt;</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">triangle</span><span class="special">.</span><span class="identifier">h</span><span class="special">&gt;</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">_geom</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">point</span><span class="special">&gt;(</span><span class="string">"point"</span><span class="special">)...;</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">triangle</span><span class="special">&gt;(</span><span class="string">"triangle"</span><span class="special">)...;</span><span class="special">
}</span></tt></pre>
<p>
but the memory is kept under control.</p>
<p>
This method is recommended too if you are developing the C++ library and
exporting it to Python at the same time: changes in a class will only demand
the compilation of a single cpp, instead of the entire wrapper code.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span> If you're exporting your classes with <a href="../../../../../pyste/index.html" target="_top">Pyste</a>,
take a look at the <tt class="literal">--multiple</tt> option, that generates the wrappers in
various files as demonstrated here.</td></tr></tbody>
</table></div>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span> This method is useful too if you are getting the error message
<span class="emphasis"><em>"fatal error C1204:Compiler limit:internal structure overflow"</em></span> when compiling
a large source file, as explained in the <a href="../../../../v2/faq.html#c1204" target="_top">FAQ</a>.</td></tr></tbody>
</table></div>
</div>
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"></td>
<td align="right"><small>Copyright © 2002-2005 Joel de Guzman, David Abrahams</small></td>
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<title>Boost.Python - April 2002 Progress Report</title>
</head>
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<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
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<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
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<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">April 2002 Progress Report</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="index">
<dt><a href="#accomplishments">Accomplishments</a></dt>
<dl class="index">
<dt><a href="#arity">Arbitrary Arity Support</a></dt>
<dt><a href="#callbacks">New Callback Interface</a></dt>
<dt><a href="#policies">Call Policies for Construtors</a></dt>
<dt><a href="#bugs">Real Users, Real Bugs</a></dt>
<dt><a href="#insights">New Insights</a></dt>
<dt><a href="#v1">Boost.Python V1 Maintenance</a></dt>
</dl>
<dt><a href="#missing">What's Missing</a></dt>
</dl>
<h2><a name="accomplishments">Accomplishments</a></h2>
April was a short month as far as Boost.Python was concerned, since
the spring ISO C++ Committee Meeting (and associated vacation)
occupied me for the 2nd half of the month. However, a suprising amount
of work got done...
<h3><a name="arity">Arbitrary Arity Support</a></h3>
I began using the <a
href="../../../preprocessor/doc/index.html">Boost.Preprocessor</a>
metaprogramming library to generate support for functions and member
functions of arbitrary arity, which was, to say the least, quite an
adventure. The feedback cycle resulting from my foray into
Boost.Preprocessor resulted in several improvements to the library,
most notably in its documentation.
<p>
Boost.Python now supports calls of up to 17 arguments on most
compilers. Because most EDG-based compilers have dismal preprocessor
performance, I had to &quot;manually&quot; expand the metaprograms for
arities from zero to fifteen arguments, and EDG-based compilers with
<code>__EDG_VERSION__&nbsp;&lt;=&nbsp;245</code> only support 15
arguments by default. If some crazy program finds a need for more than
the default arity support, users can increase the base support by
setting the <code>BOOST_PYTHON_MAX_ARITY</code> preprocessor symbol.
<h3><a name="callbacks">New Callback Interface</a></h3>
I mentioned in <a href="Mar2002.html">last month's report</a> that I
wasn't pleased with the interface for the interface for calling into
Python, so now it has been redesigned. The new interface is outlined
in <a
href="http://mail.python.org/pipermail/c++-sig/2002-April/000953.html">this
message</a> (though the GCC 2.95.3 bugs have been fixed).
<h3><a name="policies">Call Policies for Constructors</a></h3>
On April 2nd, I <a
href="http://mail.python.org/pipermail/c++-sig/2002-April/000916.html">announced</a>
support for the use of call policies with constructors.
<h3><a name="bugs">Real Users, Real Bugs</a></h3>
At least two people outside of Kull began actually using Boost.Python
v2 in earnest this month. Peter Bienstman and Pearu Pearson both
provided valuable real-world bug reports that helped me to improve the
library's robustness.
<h3><a name="insights">New Insights</a></h3>
<a
href="http://mail.python.org/pipermail/c++-sig/2002-May/001010.html"
>Answering some of Pearu's questions</a> about explicitly converting
objects between Python and C++ actually led me to a new understanding
of the role of the current conversion facilities. In Boost.Python v1,
all conversions between Python and C++ were handled by a single family
of functions, called <code>to_python()</code> and
<code>from_python()</code>. Since the primary role of Boost.Python is
to wrap C++ functions in Python, I used these names for the first kind
of converters I needed: those that extract C++ objects to be used as
function arguments and which C++ function return values to
Python. The better-considered approach in Boost.Python v2 uses a
completely different mechanism for conversions used when calling
Python from C++, as in wrapped virtual function implementations. I
usually think of this as a &quot;callback&quot;, as in &quot;calling
back into Python&quot;, and I named the converters used in callbacks
accordingly: <code>to_python_callback</code> and
<code>from_python_callback</code>. However, as it turns out, the
behavior of the &quot;callback&quot; converters is the appropriate one
for users who want to explicitly extract a C++ value from a Python
object, or create a Python object from a C++ value. The upshot is that
it probably makes sense to change the name of the existing <code>to_python</code> and
<code>from_python</code> so those names are available for the
user-friendly explicit converters.
<p>
<a
href="http://mail.python.org/pipermail/c++-sig/2002-May/001013.html">Another
of Pearu's questions</a> pushes momentum further in the direction of a
more-sophisticated overloading mechanism than the current
simple-minded &quot;first match&quot; approach, as I suggested <a
href="Mar2002.html#implicit_conversions">last month</a>.
<h3><a name="v1">Boost.Python V1 Maintenance</a></h3>
As much as I'm looking forward to retiring Boost.Python v1, a
significant amount of effort has been being spent dealing with support
problems; the saying that code rots when left alone is true, and
Boost.Python is no exception. Eventually it became obvious to me that
we were going to have to invest some effort in keeping V1 healthy
while working on V2. Ralf and I have expanded support for various
compilers and stabilized the V1 codebase considerably. We discarded
the obsolete Visual Studio projects which were causing so much
confusion. Still to do before the next Boost release:
<ol>
<li>Update the build/test documentation with detailed instructions for
configuring various toolsets.
<li>Provide some links to Boost.Python v2 to let people know what's
coming.
</ol>
<h2><a name="missing">What's Missing</a></h2>
Last month I announced that I would implement the following which are
not yet complete:
<ol>
<li>Document all implemented features
<li>Implement conversions for <code>char</code> types. This is
implemented but not tested, so we have to assume it doesn't work.
</ol>
These are my first priority for this month (especially the
documentation).
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave Abrahams</a>
2002. </i></p>
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<title>Boost.Python - CallPolicies Concept</title>
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<h2 align="center">CallPolicies Concept</h2>
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<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#composition">CallPolicies Composition</a></dt>
<dt><a href="#concept-requirements">Concept Requirements</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#CallPolicies-concept">CallPolicies Concept</a></dt>
</dl>
</dd>
</dl>
<h2><a name="introduction"></a>Introduction</h2>
<p>Models of the CallPolicies concept are used to specialize the behavior
of Python callable objects generated by Boost.Python to wrapped C++
objects like function and member function pointers, providing three
behaviors:</p>
<ol>
<li><code>precall</code> - Python argument tuple management before the
wrapped object is invoked</li>
<li><code>result_converter</code> - C++ return value handling</li>
<li><code>postcall</code> - Python argument tuple and result management
after the wrapped object is invoked</li>
</ol>
<h2><a name="composition"></a>CallPolicies Composition</h2>
In order to allow the use of multiple models of CallPolicies in the same
callable object, Boost.Python's CallPolicies class templates provide a
chaining interface which allows them to be recursively composed. This
interface takes the form of an optional template parameter,
<code>Base</code> which defaults to <a href=
"default_call_policies.html#default_call_policies-spec"><code>default_call_policies</code></a>.
By convention, the <code>precall</code> function of the <code>Base</code>
is invoked <i>after</i> the <code>precall</code> function supplied by the
outer template, and the <code>postcall</code> function of the
<code>Base</code> is invoked <i>before</i> the <code>postcall</code>
function of the outer template. If a <code>result_converter</code> is
supplied by the outer template, it <i>replaces</i> any
<code>result_converter</code> supplied by the <code>Base</code>. For an
example, see <a href=
"return_internal_reference.html#return_internal_reference-spec"><code>return_internal_reference</code></a>.
<h2><a name="concept-requirements"></a>Concept Requirements</h2>
<h3><a name="CallPolicies-concept"></a>CallPolicies Concept</h3>
<p>In the table below, <code><b>x</b></code> denotes an object whose type
<code><b>P</b></code> is a model of CallPolicies, <code><b>a</b></code>
denotes a <code>PyObject*</code> pointing to a Python argument tuple
object, and <code><b>r</b></code> denotes a <code>PyObject*</code>
referring to a "preliminary" result object.</p>
<table summary="CallPolicies expressions" border="1" cellpadding="5">
<tr>
<td><b>Expression</b></td>
<td><b>Type</b></td>
<td><b>Result/Semantics</b></td>
</tr>
<tr>
<td valign="top"><code>x.precall(a)</code></td>
<td>convertible to <code>bool</code></td>
<td>returns <code>false</code> and <code><a href=
"http://www.python.org/doc/2.2/api/exceptionHandling.html#l2h-71">PyErr_Occurred</a>()&nbsp;!=&nbsp;0</code>
upon failure, <code>true</code> otherwise.</td>
</tr>
<tr>
<td valign="top"><code>P::result_converter</code></td>
<td>A model of <a href=
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a>.</td>
<td>An MPL unary <a href=
"../../../mpl/doc/refmanual/metafunction-class.html">Metafunction
Class</a> used produce the "preliminary" result object.</td>
</tr>
<tr>
<td valign="top"><code>x.postcall(a, r)</code></td>
<td>convertible to <code>PyObject*</code></td>
<td>0 <code>0</code> and <code><a href=
"http://www.python.org/doc/2.2/api/exceptionHandling.html#l2h-71">PyErr_Occurred</a>()&nbsp;!=&nbsp;0</code>
upon failure. Must "conserve references" even in the event of an
exception. In other words, if <code>r</code> is not returned, its
reference count must be decremented; if another existing object is
returned, its reference count must be incremented.</td>
</tr>
</table>
Models of CallPolicies are required to be <a href=
"../../../utility/CopyConstructible.html">CopyConstructible</a>.
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
<p>Permission to copy, use, modify, sell and distribute this software is
granted provided this copyright notice appears in all copies. This
software is provided "as is" without express or implied warranty, and
with no claim as to its suitability for any purpose.</p>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href=../../../../boost.css>
<title>Boost.Python - Dereferenceable Concept</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Dereferenceable Concept</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#concept-requirements">Concept Requirements</a></dt>
<dl class="page-index">
<dt><a href="#Dereferenceable-concept">Dereferenceable Concept</a></dt>
</dl>
</dl>
<h2><a name="introduction"></a>Introduction</h2>
<p>Instances of a Dereferenceable type can be used like a pointer to access an lvalue.
<h2><a name="concept-requirements"></a>Concept Requirements</h2>
<h3><a name="Dereferenceable-concept"></a>Dereferenceable Concept</h3>
<p>In the table below, <code><b>T</b></code> is a model of
Dereferenceable, and <code><b>x</b></code> denotes an object of
type <code>T</code>. In addition, all pointers are Dereferenceable.
<table summary="Dereferenceable expressions" border="1" cellpadding="5">
<tr>
<td><b>Expression</b></td>
<td><b>Result</b></td>
<td><b>Operational Semantics</b></td>
</tr>
<tr>
<td><code>get_pointer(x)</code></td>
<td>convertible to <code><a href="pointee.html#pointee-spec">pointee</a>&lt;T&gt;::type*</code>
<td><code>&amp;*x</code>, or a null pointer
</tr>
<tr>
</table>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
18 December, 2003
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002-2003. </i>
<p>Permission to copy, use, modify, sell
and distribute this software is granted provided this copyright notice appears
in all copies. This software is provided "as is" without express or implied
warranty, and with no claim as to its suitability for any purpose.
</body>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href=../../../../boost.css>
<title>Boost.Python - Extractor Concept</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Extractor Concept</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#concept-requirements">Concept Requirements</a></dt>
<dl class="page-index">
<dt><a href="#Extractor-concept">Extractor Concept</a></dt>
</dl>
<dt><a href="#notes">Notes</a></dt>
</dl>
<h2><a name="introduction"></a>Introduction</h2>
<p>An Extractor is a class which Boost.Python can use to extract C++
objects from Python objects, and is typically used by facilities that
define <code>from_python</code> conversions for
&quot;traditional&quot; Python extension types.
<h2><a name="concept-requirements"></a>Concept Requirements</h2>
<h3><a name="Extractor-concept"></a>Extractor Concept</h3>
<p>In the table below, <code><b>X</b></code> denotes a model of
Extractor and <code><b>a</b></code> denotes an instance of a Python
object type.
<table summary="Extractor expressions" border="1" cellpadding="5">
<tr>
<td><b>Expression</b></td>
<td><b>Type</b></td>
<td><b>Semantics</b></td>
</tr>
<tr>
<td valign="top"><code>X::execute(a)</code></td>
<td>non-void
<td>Returns the C++ object being extracted. The
<code>execute</code> function must not be overloaded.
</tr>
<tr>
<td valign="top"><code>&amp;a.ob_type</code>
<td><code><a
href="http://www.python.org/doc/2.2/ext/dnt-type-methods.html">PyTypeObject</a>**</code>
<td>Points to the <code>ob_type</code> field of an object which is
layout-compatible with <code>PyObject</code>
</tr>
</tr>
</table>
<h2><a name="notes"></a>Notes</h2>
Informally, an Extractor's <code>execute</code> member must be a
non-overloaded static function whose single argument is a Python
object type. Acceptable Python object types include those publicly (and
unambiguously) derived from <code>PyObject</code>, and POD types which
are layout-compatible with PyObject.
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. </i>
<p>Permission to copy, use, modify, sell
and distribute this software is granted provided this copyright notice appears
in all copies. This software is provided "as is" without express or implied
warranty, and with no claim as to its suitability for any purpose.
</body>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href=../../../../boost.css>
<title>Boost.Python - Holder Concept</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">HolderGenerator Concept</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#concept-requirements">Concept Requirements</a></dt>
<dl class="page-index">
<dt><a href="#HolderGenerator-concept">HolderGenerator Concept</a></dt>
</dl>
</dl>
<h2><a name="introduction"></a>Introduction</h2>
<p>A HolderGenerator is a unary metafunction class which returns types
suitable for holding instances of its argument in a wrapped C++ class
instance.
<h2><a name="concept-requirements"></a>Concept Requirements</h2>
<h3><a name="HolderGenerator-concept"></a>HolderGenerator Concept</h3>
<p>In the table below, <code><b>G</b></code> denotes an type which
models HolderGenerator, and <code><b>X</b></code> denotes a class
type.
<table summary="Holder expressions" border="1" cellpadding="5">
<tr>
<td><b>Expression</b></td>
<td><b>Requirements</b></td>
</tr>
<tr>
<td valign="top"><code>G::apply&lt;X&gt;::type</code></td>
<td>A concrete subclass of <a
href="instance_holder.html#instance_holder-spec">instance_holder</a>
which can hold objects of type <code>X</code>.
</tr>
</table>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. </i>
<p>Permission to copy, use, modify, sell
and distribute this software is granted provided this copyright notice appears
in all copies. This software is provided "as is" without express or implied
warranty, and with no claim as to its suitability for any purpose.
</body>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - June 2002 Progress Report</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">June 2002 Progress Report</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="index">
<dt><a href="#intro">Introduction</a></dt>
<dt><a href="#handle"><code>handle&lt;T&gt;</code></a></dt>
<dt><a href="#object"><code>object</code></a></dt>
<dl class="index">
<dt><a href="#operators"><code>object</code> operators</a></dt>
<dt><a href="#conversions"><code>object</code> conversions</a></dt>
</dl>
<dt><a href="#list"><code>list</code></a></dt>
<dt><a href="#numerics"><code>Numerics</code></a></dt>
<dt><a href="#community">Community</a></dt>
<dt><a href="#next">What's Next</a></dt>
</dl>
<h2><a name="intro">Introduction</a></h2>
July was mostly focused on allowing expressive manipulation of
individual Python objects, or what Ralf Grosse-Kunstleve calls
&quot;Writing Python in C++&quot;. The work began with this <a
href="http://mail.python.org/pipermail/c++-sig/2002-June/001311.html">posting</a>,
which outlines the issues and intention.
<h2><a name="handle"><code>handle&lt;T&gt;</code></a></h2>
The most basic element needed was a replacement for the
<code>reference&lt;&gt;</code> class template and the
<code>ref</code> typedef from Boost.Python v1, a simple smart
pointer to a Python object. The old v1 typedef
&quot;<code>ref</code>&quot; (for
<code>reference&lt;PyObject&gt;</code>) had to be retired because I
thought it would be too confusing given the importance of <code><a
href="../../../bind/ref.html">boost::ref</a>()</code> to this
library. I began a <a
href="http://mail.python.org/pipermail/c++-sig/2002-June/001311.html">discussion</a>of
possible names, and it was eventually <a
href="http://mail.python.org/pipermail/c++-sig/2002-June/001337.html">decided</a>
to rename <code>reference</code> to <code>handle</code> and supply a
default argument so that <code>ref</code> could be spelled
<code>handle&lt;&gt;</code> without an additional typedef. There
were also some interface changes to make it safer and more-efficient
to interface with the raw
<code>PyObject*</code>s forced on us by Python's 'C' API. A
discussion of those protocols can be found <a
href="http://mail.python.org/pipermail/c++-sig/2002-June/001401.html">here</a>.
<h2><a name="handle"><code>object</code></a></h2>
It is intended that users will seldom need or want to work with
<code>handle&lt;&gt;</code>; its major distinguishing features are
that it gives direct access to the underlying object representation
through <code>operator*</code> and <code>operator-&gt;</code>, and
that can be <code>NULL</code>, both sources of danger. Instead the
library provides a class called <code>object</code>, which
encapsulates a valid Python object and provides a similar interface to
Python's.
<h3><a name="operators"><code>object</code> operators</a></h3>
The first challenge was to provide support for object manipulations
using a Python-like syntax, mostly in the form of operator overloads:
<table border="1">
<tr><th>Python <th>C++
<tr>
<td><code>y = x.foo</code> <td><code>y = x.attr(&quot;foo&quot;);
<tr>
<td><code>x.foo = 1</code> <td><code>x.attr(&quot;foo&quot;) = 1;
<tr>
<td><code>y = x[z]</code> <td><code>y = x[z];
<tr>
<td><code>x[z] = 1</code> <td><code>x[z] = 1;
<tr>
<td><code>y = x[3:-1]</code> <td><code>y = x.slice(3,-1);
<tr>
<td><code>y = x[3:]</code> <td><code>y = x.slice(3,_);
<tr>
<td><code>y = x[:-2]</code> <td><code>y = x.slice(_,-2);
<tr>
<td><code>z = x(1, y)</code> <td><code>z = x(1, y);
<tr>
<td><code>z = x.f(1, y)</code> <td><code>z = x.attr(&quot;f&quot;)(1, y);
<tr>
<td><code>not x</code> <td><code>!x
<tr>
<td><code>x and y</code> <td><code>x and y
</table>
I'm still a unsatisfied with the interface for attribute access. There
original proposal used a syntax like this one:
<pre>
y = x._(&quot;foo&quot;);
x._(&quot;foo&quot;) = 1;
</pre>
which was only marginally better than what we've got. Niki Spahiev
then <a
href="http://mail.python.org/pipermail/c++-sig/2002-June/001447.html">pointed
out</a> a potential conflict with the macro which GNU Gettext <a
href="http://www.gnu.org/manual/gettext/html_mono/gettext.html#SEC6">suggests</a>
people define. This unfortunate state of affairs forced us into using
<code>attr</code> instead. I'd still like to find a better interface,
but the lack of overloadable C++ operators which aren't already used
in Python is an obstacle. The comma operator is still a possibility,
but it has the wrong precedence:
<pre>
y = x,&quot;foo&quot; // error
x,&quot;foo&quot; = 1; // error
y = (x,&quot;foo&quot;); // ok
(x,&quot;foo&quot;) = 1; // ok
</pre>
Well, I guess we could consider adding that to the interface without
removing <code>attr()</code>, to see how it plays out...
<h3><a name="operators"><code>object</code> conversions</a></h3>
The <code>object</code> class also provided an opportunity to replace
Boost.Python v1's <code>to_python()</code> as a user-level
interface. Instead, <code>object</code> has a templated constructor
which can be used to convert any C++ object to Python using the same
underlying mechanisms used for the arguments to <code><a
href="call.html">call</a>&lt;&gt;</code>.
<p>Incidentally, the implementation of operator and conversion support
for object uncovered an inordinate number of compiler bugs in our
targeted platforms. It was a lot more &quot;interesting&quot; than it
should have been.
<h2><a name="list"><code>list</code></a></h2>
With <code>object</code> implemented, it was time to begin replacing
the ad-hoc implementations of <code>list</code>, <code>string</code>,
and <code>dictionary</code> supplied by Boost.Python v1 with something
more robust. I started with <code>list</code> as an example. Because
<code>object</code> already provides all of the requisite operators,
publicly deriving <code>list</code> from object seemed like a good
choice. The remaining issues were what do do about the one-argument
list constructor (which in Python attempts to convert its argument to
a list), and how to deal converting with <code>list</code> arguments
to wrapped functions. Some of the issues are laid out in <a
href="http://mail.python.org/pipermail/c++-sig/2002-June/001551.html">this
thread</a>. Ultimately, it was decided that <code>list(x)</code>
should do the same thing in C++ as in Python (conversion), while
<code>list</code> arguments should only match Python
<code>list</code>s (and <code>list</code> subclasses). The
implementation worked well, and provided a <a
href="http://mail.python.org/pipermail/c++-sig/2002-June/001586.html">roadmap</a>
for the protocol to be used for implementation of the other built-in
types.
<h2><a name="numerics">Numerics</a></h2>
Support for C++ <code>long long</code> and <code>unsigned long
long</code>
(and <code>__int64</code> on MSVC) to/from python conversions was
added this month. We also improved handling of numeric overflows when
converting, e.g., a Python int to a type with a more limited range of
representation.
<h2><a name="community">Community</a></h2>
<ul>
<li>Ralf W. Grosse-Kunstleve and Nick Sauter have implemented
<a href="http://cci.lbl.gov/boost/">multiplatform nightly
build-and-test</a> runs for Boost.Python V2 at LBL.
<li>Dave Hawkes has made significant progress on generating the
Python <a
href="http://mail.python.org/pipermail/c++-sig/2002-June/001503.html">built-in
function and API wrappers</a>
<li>Achim Domma has agreed to take up the job of implementing the
<code>str</code>, <code>dict</code>, and <code>tuple</code> classes.
</ul>
Deep thanks to all the Boost.Python contributors! This project
wouldn't be possible without your participation.
<h2><a name="next">What's Next</a></h2>
As I write this we are already well into the month of July, so I
suggest you consult the <a
href="http://mail.python.org/pipermail/c++-sig/2002-July/">Mailing
List Archive</a> if you want to know what's been happening. Otherwise
you'll just have to wait till next month (hopefully the beginning).
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave Abrahams</a>
2002. </i></p>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - March 2002 Progress Report</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">March 2002 Progress Report</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="index">
<dt><a href="#accomplishments">Accomplishments</a></dt>
<dl class="index">
<dt><a href="#calling_python">Calling Python from C++</a></dt>
<dt><a href="#virtual_functions">Virtual Functions</a></dt>
<dt><a href="#abstract_classes">Abstract Classes</a></dt>
<dt><a href="#implicit_conversions">C++ Implicit Conversions</a></dt>
<dt><a href="#data_members">C++ Data Members</a></dt>
<dt><a href="#miscellaneous">Miscellaneous</a></dt>
</dl>
<dt><a href="#future">The Near future</a></dt>
<dt><a href="#notes">Notes</a></dt>
</dl>
<h2><a name="accomplishments">Accomplishments</a></h2>
March was mostly devoted to the reimplementation of features from
Boost.Python v1, and some new features. Re-examination of the features
from Boost.Python v1 allowed me to make significant improvements.
<h3><a name="calling_python">Calling Python from C++</a></h3>
The ability to call Python from C++ is crucial for virtual function
support. Implementing this feature well for V2 proved to be more
interesting than I expected. You can review most of the relevant
design decisions
<a href="callbacks.txt">here</a>.
<p>
One point which <i>isn't</i> emphasized in that document is that there
are subtle differences in the way <code>from_python</code> conversions
work when used for C++ function arguments and Python function return
values. In particular, while <code>T const&amp;</code> arguments may
invoke rvalue converters, a reference-to-const return value requires
an lvalue converter, since a temporary conversion result would leave
the returned reference dangling.
<p>I'm not particularly pleased with the current callback interface,
since it usually results in constructs like:
<pre>
<u>return returning</u>&lt;X&amp;&gt;::call(f, obj);
</pre>
However, I think the following may be possible and I plan to investigate:
<pre>
return apply&lt;X&amp;&gt;(f, obj);
</pre>
I'm open to suggestion for better names (and syntaxes)!
<h3><a name="virtual_functions">Virtual Functions</a></h3>
Once Python callbacks were implemented, it was just a short step to
implementing virtual functions. Python extension class exposing a C++
class whose virtual functions are overridable in Python must actually
hold a C++ instance of a class <i>derived</i> from the one exposed to
Python. Needing some way for users to specify that class, I added an
optional template argument to <code>value_holder_generator</code> and
<code>pointer_holder_generator&lt;&gt;</code> to specify the class
actually held. This move began to put pressure on the
<code>class_&lt;&gt;</code> interface, since the need for the user to
produce complicated instantations of
<code>class_&lt;&gt;</code> was increased:
<pre>
class&lt;Foo, bases&lt;&gt;, value_holder_generator&lt;Foo_callback&gt; &gt;(&quot;Foo&quot;)
.def(&quot;hello&quot;, &amp;Foo::hello)
...
</pre>
<h3><a name="abstract_classes">Abstract Classes</a></h3>
Normally when a C++ class is exposed to Python, the library registers
a conversion function which allows users to wrap functions returning
values of that type. Naturally, these return values are temporaries,
so the conversion function must make a copy in some
dynamically-allocated storage (a &quot;holder&quot;) which is managed
by the corresponding Python object.
<p>Unfortunately, in the case of abstract classes (and other types
without a publicly-accessible copy constructor), instantiating this
conversion function causes a compilation error. In order to support
non-copyable classes, there had to be some way to prevent the library
from trying to instantiate the conversion function. The only practical
approach I could think of was to add an additional template parameter
to the <code>class_&lt;&gt;</code> interface. When the number of
template parameters with useful defaults begins to grow, it is often
hard to choose an order which allows users to take advantage of the
defaults.
<p>
This was the straw that broke the
<code>class_&lt;&gt;</code> interface's back and caused the redesign
whose outcome is detailed <a
href="http://mail.python.org/pipermail/c++-sig/2002-March/000892.html">here</a>.
The approach allows the user to supply the optional parameters in an
arbitrary order. It was inspired by the use of <a
href="../../../utility/iterator_adaptors.htm#named_tempalte_parameters">named
template parameters</a> in the <a
href="../../../utility/iterator_adaptors.htm">Boost Iterator Adaptor
Library</a>, though in this case it is possible to deduce the meaning
of the template parameters entirely from their type properties,
resulting in a simpler interface. Although the move from a
policy-based design to what resembles a configuration DSL usually
implies a loss of flexibility, in this case I think any costs are far
outweighed by the advantages.
<p>Note: working around the limitations of the various compilers I'm
supporting was non-trivial, and resulted in a few messy implementation
details. It might be a good idea to switch to a more-straightforward
approach once Metrowerks CodeWarrior Pro8 is released.
<h3><a name="implicit_conversions">C++ Implicit Conversions</a></h3>
Support for C++ implicit conversion involves creating
<code>from_python</code> converters for a type <code>U</code> which in
turn use <code>from_python</code> converters registered for a type
<code>T</code> where there exists a implicit conversion from
<code>T</code> to <code>U</code>. The current implementation is
subject to two inefficiencies:
<ol>
<li>Because an rvalue <code>from_python</code> converter produces two
pieces of data (a function and a <code>void*</code>) from its
<code>convertible()</code> function, we end up calling the function
for <code>T</code> twice: once when the converter is looked up in the
registry, and again when the conversion is actually performed.
<li>A vector is used to mark the "visited" converters, preventing
infinite recursion as <code>T</code> to
<code>U</code> and <code>U</code> to <code>T</code> converters
continually search through one-another.
</ol>
I consider the former to be a minor issue. The second may or may not
prove to be computationally significant, but I believe that
architecturally, it points toward a need for more sophisticated
overload resolution. It may be that we want CLOS-style multimethod
dispatching along with C++ style rules that prevent more than one
implicit conversion per argument.
<h3><a name="data_members">C++ Data Members</a></h3>
To supply the ability to directly access data members, I was able to
hijack the new Python <a
href="http://www.python.org/2.2/descrintro.html#property">property</a>
type. I had hoped that I would also be able to re-use the work of <a
href="make_function.html">make_function</a> to create callable python
objects from C++ functions which access a data member of a given
class. C++ facilities for specifying data member pointer non-type
template arguments require the user to explicitly specify the type of
the data member and this under-utilized feature is also not
well-implemented on all compilers, so passing the member pointer as a
runtime value is the only practical approach. The upshot is that any
such entity would actually have to be a function <i>object</i>, and I
haven't implemented automatic wrapping of C++ callable function
objects yet, so there is less re-use in the implementation than I'd
like. I hope to implement callable object wrapping and refactor this
code one day. I also hope to implement static data member support,
for which Python's property will not be an appropriate descriptor.
<h3><a name="miscellaneous">Miscellaneous</a></h3>
<ul>
<li>Moved <code>args&lt;&gt;</code> and <code>bases&lt;&gt;</code> from unnamed namespace to <code>boost::python</code> in their own header files.
<li>Convert <code>NULL</code> pointers returned from wrapped C++ functions to <code>None</code>.
<li>Improved some compile-time error checks.
<li>Eliminated <code>boost/python/detail/eval.hpp</code> in favor of
more-general <code>boost/mpl/apply.hpp</code>.
<li>General code cleanup and refactoring.
<li>Works with Microsoft Visual C++ 7.0
<li>Warning suppression for many compilers
<li>Elegant interface design for exporting <code>enum</code> types.
</ul>
<hr>
<h2><a name="future">The Near Future</a></h2>
Before April 15th I plan to
<ol>
<li>Document all implemented features
<li>Implement a <code>CallPolicy</code> interface for constructors of wrapped
classes
<li>Implement conversions for <code>char</code> types.
<li>Implement automated code generation for all headers containing
families of overloaded functions to handle arbitrary arity.
</ol>
I also hope to implement a mechanism for generating conversions
between arbitrary Python sequences and C++ containers, if time permits
(and others haven't already done it)!
<h2><a name="notes">Notes</a></h2>
The older version of KCC used by Kull is generating lots of warnings
about a construct I use to instantiate static members of various class
templates. I'm thinking of moving to an idiom which uses a function
template to suppress it, but worry about bloating the size of debug
builds. Since KCC users may be moving to GCC, I'm not sure that it's
worth doing anything about it.
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave Abrahams</a>
2002. </i></p>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - May 2002 Progress Report</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">May 2002 Progress Report</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="index">
<dt><a href="#intro">Introduction</a></dt>
<dt><a href="#features">New Features</a></dt>
<dl>
<dt><a href="#aix_shared">Shared Library Support for AIX</a><dd>
<dt><a href="#class_enhancements">Class Enhancements</a><dd>
<dl>
<dt><a href="#operators">Operators</a><dd>
<dt><a href="#iterators">Iterators</a><dd>
<dt><a href="#properties">Properties</a><dd>
<dt><a href="#setattr">setattr</a><dd>
<dt><a href="#module">__module__ Attribute</a><dd>
</dl>
<dt><a href="#back_reference">back_reference</a><dd>
</dl>
<dt><a href="#documentation">Documentation</a></dt>
<dt><a href="#misc">Miscellaneous</a></dt>
<dl class="index">
<dt><a href="#converters">Converters</a></dt>
<dt><a href="#checkins">Checkins Mailing List</a></dt>
<dt><a href="#shared">Shared Libraries</a></dt>
</dl>
<dt><a href="#next">What's Next</a></dt>
</dl>
<h2><a name="intro">Introduction</a></h2>
Aside from library development, work on Boost.Python in May was
focused on reducing the support burden. In recent weeks, responding to
requests for support, espcially surrounding building the library, had
begun to impede progress on development. There was a major push to
release a stable 1.28.0 of Boost, including documentation of <a
href="../../../../tools/build/v1/build_system.htm">Boost.Build</a> and specific
<a href="../building.html">instructions</a> for building Boost.Python
v1. The documentation for Boost.Python v2 was also updated as
described <a href="#documentation">here</a>.
<h2><a name="features">New Features</a></h2>
<h3><a name="aix_shared">Shared Library Support for AIX</a></h3>
The Kull group required the ability to build and test Boost.Python
extensions on AIX, a platform with &quot;creatively designed&quot;
shared library semantics. Making this work was a multi-pronged
effort, involving changes to Boost.Build and some great research by
Martin Casado which uncovered the key mechanism required to allow
shared libraries to use functions from the Python executable. The
current solution used in Boost.Build relies on a <a
href="../../../../tools/build/v1/gen_aix_import_file.py">Python
Script</a> as part of the build process. This is not a problem for
Boost.Python, as Python will be available. However, the commands
issued by the script are so simple that a 100%-pure-Boost.Jam
solution is surely possible. Linking on AIX is sufficiently
interesting to have skewed the Boost.Python development schedule a
bit.
<h3><a name="class_enhancements">Class Enhancements</a></h3>
<h4><a name="operators">Operators</a></h4>
Support for exposing C++ operators and functions as the corresponding
Python special methods was added. Thinking that the Boost.Python
v1 interface was a little too esoteric (especially the use of
<code>left_operand&lt;...&gt;/right_operand&lt;...&gt;</code> for
asymmetric operands), I introduced a simple form of <a
href="http://osl.iu.edu/~tveldhui/papers/Expression-Templates/exprtmpl.html">expression
templates</a> which allow users to simply write the expressions that
should be wrapped, as in this <a href="operators.html#examples">example</a>.
<h4><a name="iterators">Iterators</a></h4>
Python iterator support as required by the Kull project resulted in a
highly flexible interface allowing:
<dl>
<dt>Direct exposure of a class' <code>begin()</code> and
<code>end()</code> functions:
<pre>
...
.def(&quot;__iter__&quot;, iterator&lt;list_int&gt;())
</pre>
<dd>
<dt>Creation of iterators from member functions...
<pre>
...
.def(&quot;__iter__&quot;
, range(&amp;my_class::x_begin, &amp;my_class::x_end))
)
</pre>
<dd>
<dt>...and member data:
<pre>
...
.def(&quot;__iter__&quot;
, range(&amp;std::pair&lt;char*,char*&gt;::first, &amp;std::pair&lt;char*,char*&gt;::second))
)
</pre>
<dd>
<dt>The ability to specify <a
href="CallPolicies.html">CallPolicies</a>, e.g. to prevent copying of
heavyweight values:
<pre>
...
.def(&quot;__iter__&quot;,
, range&lt;return_value_policy&lt;copy_non_const_reference&gt; &gt;(
&amp;my_sequence&lt;heavy&gt;::begin
, &amp;my_sequence&lt;heavy&gt;::end))
</pre>
<dd>
</dl>
<h4><a name="properties">Properties</a></h4>
The Kull iteration interfaces also required the ability to iterate
over a sequence specified by an instance's attribute:
<pre>
&gt;&gt;&gt; f = field()
&gt;&gt;&gt; for e in f.elements:
... print e,
</pre>
This forced the exposure of the <a
href="http://www.python.org/2.2/descrintro.html#property"><code>property</code></a>
interface used internally to implement the data member exposure
facility described in <a
href="Mar2002.html#data_members">March</a>. Properties are an
incredibly useful idiom, so it's good to be able to provide them
at little new development cost.
<h4><a name="setattr">setattr</a></h4>
<code>class_&lt;&gt;</code> acquired a <code>setattr</code> member
function which allows users to easily add new Python objects as class
attributes.
<h4><a name="module">__module__ Attribute</a></h4>
Ralf Grosse-Kunstleve has been working on pickling support for v2. To
make it work correctly, he had to make sure that a class'
<code>__module__</code> attribute was set correctly.
<h3><a name="back_reference"><code>back_reference</code></a></h3>
The new <code>back_reference&lt;T&gt;</code> template can be used as a
function parameter when the user needs access to both a <code>T</code>
argument and to the Python object which manages it. The function will
only match in the overload resolution process if it would match the
same function signature with <code>T</code> substituted for
<code>back_reference&lt;T&gt;</code>. This feature is not yet
documented.
<h2><a name="documentation">Documentation</a></h2>
In a major effort to prepare Boost.Python v2 to replace v1, many pages
of new reference documentation were added:
<blockquote>
<dl>
<dt><a href="CallPolicies.html">CallPolicies.html</a><dd>
<dt><a href="Dereferenceable.html">Dereferenceable.html</a><dd>
<dt><a href="Extractor.html">Extractor.html</a><dd>
<dt><a href="HolderGenerator.html">HolderGenerator.html</a><dd>
<dt><a href="ResultConverter.html">ResultConverter.html</a><dd>
<dt><a href="call_method.html">call_method.html</a><dd>
<dt><a href="callbacks.html">callbacks.html</a><dd>
<dt><a href="data_members.html">data_members.html</a><dd>
<dt><a href="has_back_reference.html">has_back_reference.html</a><dd>
<dt><a href="implicit.html">implicit.html</a><dd>
<dt><a href="instance_holder.html">instance_holder.html</a><dd>
<dt><a href="operators.html">operators.html</a><dd>
<dt><a href="ptr.html">ptr.html</a><dd>
<dt><a href="type_id.html">type_id.html</a><dd>
<dt><a href="with_custodian_and_ward.html">with_custodian_and_ward.html</a><dd>
</dl>
</blockquote>
Major updates were made to the following pages:
<blockquote>
<dl>
<dt><a href="call.html">call.html</a><dd> <dt>updated<dd>
<dt><a href="class.html">class.html</a><dd>
<dt><a href="reference.html">reference.html</a><dd>
</dl>
</blockquote>
As usual, careful documentation forces one to consider the
interface again, and there were many interface changes
associated with this effort, including the elevation of the
following components from implementation detail to
first-class library citizen:
<blockquote>
<dl>
<dt>type_id.hpp<dd>
<dt>pointee.hpp<dd>
<dt>lvalue_from_pytype.hpp<dd></dl>
</dl>
</blockquote>
<h2><a name="misc">Miscellaneous</a></h2>
<h3><a name="converters">Converters</a></h3>
It appears that the world of C++ &lt;==&gt; Python conversion rules is
an endlessly-rich area of exploration. Completing the conversions for
<code>char</code> and <code>char const*</code> types, as described at
the end of <a href="Apr2002.html#missing">April's report</a>,
uncovered some interesting new shades to the problem. It turns out to
be worth distinguishing mutable and immutable lvalue conversions,
because despite the fact that Python doesn't understand
<code>const</code>, it does understand immutability (c.f. Python
strings, which expose an immutable <code>char</code> pointer). It is
also worth recognizing types which represent lvalue <i>sequences</i>,
to prevent Python <code>&quot;foobar&quot;</code> from being silently
truncated to C++ <code>'f'</code>. More details on this insight can be
found in the mailing list <a
href="http://mail.python.org/pipermail/c++-sig/2002-May/001023.html">
archive</a>. I don't plan to do anything about this immediately, but I
do think it's the right direction to go in the long run.
<h3><a name="checkins">Checkins Mailing List</a></h3>
In order to better coordinate changes made by multiple developers, I
enabled <a
href="http://sourceforge.net/docman/display_doc.php?docid=772&group_id=1">syncmail</a>
for the Boost.Python CVS trees, and established an associated <a
href="http://lists.sourceforge.net/lists/listinfo/boost-python-cvs">mailing
list</a>. Subscribe to this list to receive notices of each new
checkin.
<h3><a name="shared">Shared Libraries</a></h3>
Beyond the vagaries of dynamic linking on AIX, I have been
participating in a more-general discussion of dynamic linking for
C++. Needless to say, C++ dynamic linking is of critical importance to
Boost.Python: all extension modules are normally built as shared
libraries, and Boost.Python extension modules share a common library
as well.
In fact, there are at least two separate conversations. One
in the C++ standard extensions mailing list concerns what can be
standardized for C++ and shared libraries; the other, mostly on the <a
href="http://gcc.gnu.org/ml/gcc/">gcc</a> mailing list, concerns the
behavior of GCC on Posix/ELF platforms.
Some of the GCC threads are here:
<blockquote>
<a
href="http://gcc.gnu.org/ml/gcc/2002-05/msg02002.html">http://gcc.gnu.org/ml/gcc/2002-05/msg02002.html</a><br>
<a
href="http://gcc.gnu.org/ml/gcc/2002-05/msg02945.html">http://gcc.gnu.org/ml/gcc/2002-05/msg02945.html</a><br>
<a href="http://gcc.gnu.org/ml/gcc/2002-05/msg01758.html">http://gcc.gnu.org/ml/gcc/2002-05/msg01758.html</a>
</blockquote>
<h2><a name="next">What's Next</a></h2>
Development is focused on what's needed to be able to retire
Boost.Python v1. At the moment, that means deciding the user-friendly
interfaces for to_/from_python conversion, and formally exposing the
Python object smart pointers and object wrapper classes. Quite a few
questions have also been showing up recently about how to embed Python
with Boost.Python, and how to link with it statically; the solutions
to these issues will probably have to be formalized before long.
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave Abrahams</a>
2002. </i></p>
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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - ObjectWrapper Concept</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">ObjectWrapper and TypeWrapper Concepts</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#concept-requirements">Concept Requirements</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#ObjectWrapper-concept">ObjectWrapper Concept</a></dt>
<dt><a href="#TypeWrapper-concept">TypeWrapper Concept</a></dt>
</dl>
</dd>
<dt><a href="#caveat">Caveat</a></dt>
</dl>
<h2><a name="introduction"></a>Introduction</h2>
<p>This page defines two concepts used to describe classes which manage a
Python objects, and which are intended to support usage with a
Python-like syntax.</p>
<h2><a name="concept-requirements"></a>Concept Requirements</h2>
<h3><a name="ObjectWrapper-concept"></a>ObjectWrapper Concept</h3>
Models of the ObjectWrapper concept have <a href=
"object.html#object-spec">object</a> as a publicly-accessible base class,
and are used to supply special construction behavior and/or additional
convenient functionality through (often templated) member functions.
Except when the return type <code>R</code> is itself an <a href=
"#TypeWrapper-concept">TypeWrapper</a>, a member function invocation of
the form
<pre>
x.<i>some_function</i>(<i>a<small>1</small>, a<small>2</small>,...a<small>n</small></i>)
</pre>
always has semantics equivalent to:
<pre>
<a href=
"extract.html#extract-spec">extract</a>&lt;R&gt;(x.attr("<i>some_function</i>")(<a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>1</small></i>), <a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>2</small></i>),...<a
href="object.html#object-spec-ctors">object</a>(<i>a<small>n</small></i>)))()
</pre>
When the <code>R</code> is an <a href=
"#TypeWrapper-concept">TypeWrapper</a>, the result type may be
constructed by taking direct posession of:
<pre>
x.attr("<i>some_function</i>")(<a href=
"object.html#object-spec-ctors">object</a>(<i>a<small>1</small></i>), <a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>2</small></i>),...<a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>n</small></i>)).ptr()
</pre>
[see <a href="#caveat">caveat</a> below]
<h3><a name="TypeWrapper-concept"></a>TypeWrapper Concept</h3>
TypeWrapper is a refinement of ObjectWrapper which is associated with a
particular Python type <code>X</code>. For a given TypeWrapper
<code>T</code>, a valid constructor expression
<pre>
T(<i>a<small>1</small>, a<small>2</small>,...a<small>n</small></i>)
</pre>
builds a new <code>T</code> object managing the result of invoking
<code>X</code> with arguments corresponding to
<pre>
<a href=
"object.html#object-spec-ctors">object</a>(<i>a<small>1</small></i>), <a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>2</small></i>),...<a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>n</small></i>)
</pre>
When used as arguments to wrapped C++ functions, or as the template
parameter to <code><a
href="extract.html#extract-spec">extract</a>&lt;&gt;</code>, only
instances of the associated Python type will be considered a match.
<h3><a name="caveat">Caveat</a></h3>
The upshot of the special member function invocation rules when the
return type is a TypeWrapper is that it is possible for the returned
object to manage a Python object of an inappropriate type. This is not
usually a serious problem; the worst-case result is that errors will be
detected at runtime a little later than they might otherwise be. For an
example of how this can occur, note that the <code><a href=
"dict.html#dict-spec">dict</a></code> member function <code>items</code>
returns an object of type <code><a href=
"list.html#list-spec">list</a></code>. Now suppose the user defines this
<code>dict</code> subclass in Python:
<pre>
&gt;&gt;&gt; class mydict(dict):
... def items(self):
... return tuple(dict.items(self)) # return a tuple
</pre>
Since an instance of <code>mydict</code> is also an instance of
<code>dict</code>, when used as an argument to a wrapped C++ function,
<code><a href="dict.html#dict-spec">boost::python::dict</a></code> can
accept objects of Python type <code>mydict</code>. Invoking
<code>items()</code> on this object can result in an instance of <code><a
href="list.html#list-spec">boost::python::list</a></code> which actually
holds a Python tuple. Subsequent attempts to use list methods (e.g.
<code>append</code>, or any other mutating operation) on this object will
raise the same exception that would occur if you tried to do it from
Python.
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href=../../../../boost.css>
<title>Boost.Python - ResultConverter Concept</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">ResultConverter Concept</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#concept-requirements">Concept Requirements</a></dt>
<dl class="page-index">
<dt><a href="#ResultConverter-concept">ResultConverter Concept</a></dt>
<dt><a href="#ResultConverterGenerator-concept">ResultConverterGenerator Concept</a></dt>
</dl>
</dl>
<h2><a name="introduction"></a>Introduction</h2>
<p>A ResultConverter for a type <code>T</code> is a type whose
instances can be used to convert C++ return values of type
<code>T</code> <code>to_python</code>. A ResultConverterGenerator is
an MPL unary metafunction class which, given the return type of a C++
function, returns a ResultConverter for that type. ResultConverters in
Boost.Python generally inspect library's registry of converters to
find a suitable converter, but converters which don't use the registry
are also possible.
<h2><a name="concept-requirements"></a>Concept Requirements</h2>
<h3><a name="ResultConverter-concept"></a>ResultConverter Concept</h3>
<p>In the table below, <code><b>C</b></code> denotes a ResultConverter
type for a type <b><code>R</code></b> , <code><b>c</b></code> denotes
an object of type <code><b>C</b></code> , and <code><b>r</b></code>
denotes an object of type <code><b>R</b></code>.
<table summary="ResultConverter expressions" border="1" cellpadding="5">
<tr>
<td><b>Expression</b></td>
<td><b>Type</b></td>
<td><b>Semantics</b></td>
</tr>
<tr>
<td valign="top"><code>C c;</code></td>
<td>
<td>Constructs a <code>C</code> object.
</tr>
<tr>
<td valign="top"><code>c.convertible()</code></td>
<td>convertible to <code>bool</code></td>
<td><code>false</code> iff no conversion from any <code>R</code> value
to a Python object is possible.</td>
</tr>
<tr>
<td valign="top"><code>c(r)</code></td>
<td>convertible to <code>PyObject*</code></td>
<td>A pointer to a Python object corresponding to <code>r</code>,
or <code>0</code> iff <code>r</code> could not be converted
<code>to_python</code>, in which case <a
href="http://www.python.org/doc/current/api/exceptionHandling.html#l2h-71">PyErr_Occurred</a>
should return non-zero.</td>
</tr>
</table>
<h3><a name="ResultConverterGenerator-concept"></a>ResultConverterGenerator Concept</h3>
<p>In the table below, <code><b>G</b></code> denotes a
ResultConverterGenerator type and <code><b>R</b></code> denotes a possible
C++ function return type.
<table summary="ResultConverterGenerator expressions" border="1" cellpadding="5">
<tr>
<td><b>Expression</b></td>
<td><b>Requirements</b></td>
</tr>
<tr>
<td valign="top"><code>G::apply&lt;R&gt;::type</code></td>
<td>A ResultConverter type for <code>R</code>.</td>
</table>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
09 May, 2002 <!--Luann's birthday! -->
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. </i>
<p>Permission to copy, use, modify, sell
and distribute this software is granted provided this copyright notice appears
in all copies. This software is provided "as is" without express or implied
warranty, and with no claim as to its suitability for any purpose.
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<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - Acknowledgments</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Acknowledgments</h2>
</td>
</tr>
</table>
<hr>
<p><a href="../../../../people/dave_abrahams.htm">Dave Abrahams</a> is
the architect, designer, and implementor of <b>Boost.Python</b>.</p>
<p><a href="mailto:brett.calcott@paradise.net.nz">Brett Calcott</a>
contributed and maintains the Visual Studio project files and
documentation.</p>
<p><a href="mailto:Gottfried.Ganssauge-at-haufe.de">Gottfried
Ganßauge</a> supplied support for opaque pointer conversions,
complete with documentation and a regression test (and I didn't
even have to ask him for those)!
<p>Joel de Guzman implemented the <a href="overloads.html">default
argument support</a> and wrote the excellent <a href=
"../tutorial/index.html">tutorial documentation</a>.</p>
<p><a href="../../../../people/ralf_w_grosse_kunstleve.htm">Ralf W.
Grosse-Kunstleve</a> implemented the <a href="pickle.html">pickle
support</a>, and has enthusiastically supported the library since its
birth, contributing to design decisions and providing invaluable
real-world insight into user requirements. Ralf has written some <a href=
"faq.html#question2">extensions</a> for converting C++ containers that I
hope will be incorporated into the library soon. He also implemented the
cross-module support in the first version of Boost.Python. More
importantly, Ralf makes sure nobody forgets the near-perfect synergy of
C++ and Python for solving the problems of large-scale software
construction.</p>
<p><a href="../../../../people/aleksey_gurtovoy.htm">Aleksey Gurtovoy</a>
wrote an incredible C++ <a href="http://www.mywikinet.com/mpl">Template
Metaprogramming Library</a> which allows Boost.Python to perform much of
its compile-time magic. In addition, Aleksey very generously contributed
his time and deep knowledge of the quirks of various buggy compilers to
help us get around problems at crucial moments.</p>
<p><a href="../../../../people/paul_mensonides.htm">Paul Mensonides</a>,
building on the work <a href="../../../../people/vesa_karvonen.htm">Vesa
Karvonen</a>, wrote a similarly amazing <a href=
"../../../preprocessor/doc/index.html">Preprocessor Metaprogramming
Library</a>, and generously contributed the time and expertise to get it
working in the Boost.Python library, rewriting much of Boost.Python to
use the new preproccessor metaprogramming constructs and helping us to
work around buggy and slow C++ preprocessors.</p>
<p><a href="mailto:nicodemus-at-globalite.com.br">Bruno da Silva de
Oliveira</a> contributed the ingenious <a
href="../../pyste/index.html">Pyste</a> (&quot;Pie-Steh&quot;)
code generator.
<p><a href="mailto:nickm@sitius.com">Nikolay Mladenov</a> contributed
<code>staticmethod</code> support.</p>
<p>Martin Casado solved some sticky problems which allow us to build the
Boost.Python shared library for AIX's crazy dynamic linking model.</p>
<p><a href="mailto:achim@procoders.net">Achim Domma</a> contributed some
of the <a href="reference.html#object_wrappers">Object Wrappers</a> and
HTML templates for this documentation. Dave Hawkes contributed
inspiration for the use of the <code><a href=
"scope.html#scope-spec">scope</a></code> class to simplify module
definition syntax. Pearu Pearson wrote some of the test cases that are in
the current test suite.</p>
<p>The development of this version of Boost.Python was funded in part by
the <a href="http://www.llnl.gov/">Lawrence Livermore National
Laboratories</a> and by the <a href="http://cci.lbl.gov/">Computational
Crystallography Initiative</a> at Lawrence Berkeley National
Laboratories.</p>
<p><a href="http://kogs-www.informatik.uni-hamburg.de/~koethe/">Ullrich
Koethe</a> had independently developed a similar system. When he
discovered Boost.Python v1, he generously contributed countless hours of
coding and much insight into improving it. He is responsible for an early
version of the support for function overloading and wrote the support for
reflecting C++ inheritance relationships. He has helped to improve
error-reporting from both Python and C++ (we hope to do as well in v2
again soon), and has designed the original support for exposing numeric
operators, including a way to avoid explicit coercion by means of
overloading.</p>
<p>The members of the boost mailing list and the Python community
supplied invaluable early feedback. In particular, Ron Clarke, Mark
Evans, Anton Gluck, Chuck Ingold, Prabhu Ramachandran, and Barry Scott
took the brave step of trying to use Boost.Python while it was still in
early stages of development.</p>
<p>The first version of Boost.Python would not have been possible without
the support of Dragon Systems, which supported its development and
release as a Boost library.</p>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
26 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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<title>Boost.Python - &lt;boost/python/args.hpp&gt;</title>
</head>
<body>
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"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/args.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#keyword-expression"><i>keyword-expressions</i></a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#arg-spec">class <code>arg</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#arg-synopsis">class <code>arg</code>
synopsis</a></dt>
<dt><a href="#arg-ctor">class <code>arg</code>
constructor</a></dt>
<dt><a href="#arg-operator">class <code>arg</code> template
<code>operator =</code></a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#keyword-expression-operators"><i>Keyword-expression</i>
operator <code>,</code></a></dt>
<dt><a href="#functions">Functions (deprecated)</a></dt>
<dd>
<dl class="page-index">
<dt><code><a href=
"#args-spec">args</a>(</code>...<code>)</code></dt>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Supplies a family of overloaded functions for specifying argument
keywords for wrapped C++ functions.</p>
<h2><a name="keyword-expression"></a><i>keyword-expressions</i></h2>
<p>A <b>keyword-expression</b> results in an object which holds a
sequence of <a href="definitions.html#ntbs">ntbs</a>es, and whose type
encodes the number of keywords specified. The <b>keyword-expression</b>
may contain default values for some or all of the keywords it holds</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="arg-spec"></a><code>class arg;</code></h3>
<p>The objects of class arg are keyword-expressions holding one keyword (
size one )</p>
<h4><a name="arg-synopsis"></a>Class <code>arg</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
struct arg
{
template &lt;class T&gt;
arg &amp;perator = (T const &amp;value);
explicit arg (char const *name){elements[0].name = name;}
};
}}
</pre>
<h4><a name="arg-ctor"></a>Class <code>arg</code> constructor</h4>
<pre>
arg(char const* name);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> The argument must be a <a href=
"definitions.html#ntbs">ntbs</a>.</dt>
<dt><b>Effects:</b> Constructs an <code>arg</code> object holding a
keyword with name <code>name</code>.</dt>
</dl>
<h4><a name="arg-operator"></a>Class <code>arg</code> operator =</h4>
<pre>
template &lt;class T&gt; arg &amp;operator = (T const &amp;value);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> The argument must convertible to python.</dt>
<dt><b>Effects:</b> Assigns default value for the keyword.</dt>
<dt><b>Returns:</b> Reference to <code>this</code>.</dt>
</dl>
<h2><a name="keyword-expression-operators"><i>Keyword-expression</i>
operator <code>,</code></a></h2>
<pre>
<i>keyword-expression</i> operator , (<i>keyword-expression</i>, const arg &amp;kw) const
<i>keyword-expression</i> operator , (<i>keyword-expression</i>, const char *name) const;
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> The argument <code>name</code> must be a <a href=
"definitions.html#ntbs">ntbs</a>.</dt>
<dt><b>Effects:</b> Extends the <i>keyword-expression</i> argument with
one more keyword.</dt>
<dt><b>Returns:</b> The extended <i>keyword-expression</i>.</dt>
</dl>
<h2><font color="#7F7F7F"><a name="functions"></a>Functions
(deprecated)</font></h2>
<h3><a name="args-spec"></a><code><font color=
"#7F7F7F">args</font>(</code>...<code>)</code></h3>
<pre>
<font color="#7F7F7F"> <i>unspecified1</i> args(char const*);
<i>unspecified2</i> args(char const*, char const*);
.
.
.
<i>unspecifiedN</i> args(char const*, char const*, ... char const*);
</font>
</pre>
<dl class="function-semantics">
<dt><font color="#7F7F7F"><b>Requires:</b> Every argument must be a <a
href="definitions.html#ntbs">ntbs</a>.</font></dt>
<dt><font color="#7F7F7F"><b>Returns:</b> an object representing a <a
href="#keyword-expression"><i>keyword-expression</i></a> encapsulating
the arguments passed.</font></dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<pre>
#include &lt;boost/python/def.hpp&gt;
using namespace boost::python;
int f(double x, double y, double z=0.0, double w=1.0);
BOOST_PYTHON_MODULE(xxx)
{
def("f", f
, ( arg("x"), "y", arg("z")=0.0, arg("w")=1.0 )
);
}
</pre>
<p>Revised 01 August, 2003</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002-2003.</i></p>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;call.hpp&gt;</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;call.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dl class="page-index">
<dt><a href="#call-spec">call</a></dt>
</dl>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>
<code>&lt;boost/python/call.hpp&gt;</code> defines the <a
href="#call-spec"><code>call</code></a> family of overloaded function
templates, used to invoke Python callable objects from C++.
<h2><a name="functions"></a>Functions</h2>
<pre>
<a name="call-spec">template &lt;class R, class A1, class A2, ... class A<i>n</i>&gt;</a>
R call(PyObject* callable, A1 const&amp;, A2 const&amp;, ... A<i>n</i> const&amp;)
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>R</code> is a pointer type, reference
type, or a complete type with an accessible copy constructor</dt>
<dt><b>Effects:</b> Invokes <code>callable(a1,&nbsp;a2,&nbsp;...a<i>n</i>)</code> in
Python, where <code>a1</code>...<code>a<i>n</i></code> are the arguments to
<code>call()</code>, converted to Python objects.
<dt><b>Returns:</b> The result of the Python call, converted to the C++ type <code>R</code>.</dt>
</dt>
<dt><b>Rationale:</b> For a complete semantic description and
rationale, see <a href="callbacks.html">this page</a>.
</dt>
</dl>
<h2><a name="examples"></a>Example(s)</h2>
The following C++ function applies a Python callable object to its two
arguments and returns the result. If a Python exception is raised or
the result can't be converted to a <code>double</code>, an exception
is thrown.
<pre>
double apply2(PyObject* func, double x, double y)
{
return boost::python::call&lt;double&gt;(func, x, y);
}
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
9 May, 2002 <!-- Luann's birthday! -->
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave Abrahams</a>
2002. </i></p>
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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;call_method.hpp&gt;</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;call_method.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#call_method-spec">call_method</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/call_method.hpp&gt;</code> defines the <a href=
"#call_method-spec"><code>call_method</code></a> family of overloaded
function templates, used to invoke callable attributes of Python objects
from C++.</p>
<h2><a name="functions"></a>Functions</h2>
<pre>
<a name=
"call_method-spec">template &lt;class R, class A1, class A2, ... class A<i>n</i>&gt;</a>
R call_method(PyObject* self, char const* method, A1 const&amp;, A2 const&amp;, ... A<i>n</i> const&amp;)
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>R</code> is a pointer type, reference type,
or a complete type with an accessible copy constructor</dt>
<dt><b>Effects:</b> Invokes
<code>self.<i>method</i>(a1,&nbsp;a2,&nbsp;...a<i>n</i>)</code> in
Python, where <code>a1</code>...<code>a<i>n</i></code> are the
arguments to <code>call_method()</code>, converted to Python objects.
For a complete semantic description, see <a href="callbacks.html">this
page</a>.</dt>
<dt><b>Returns:</b> The result of the Python call, converted to the C++
type <code>R</code>.</dt>
<dt><b>Rationale:</b> <code>call_method</code> is critical to
implementing C++ virtual functions which are overridable in Python, as
shown by the example below.</dt>
</dl>
<h2><a name="examples"></a>Example(s)</h2>
The following C++ illustrates the use of <code>call_method</code> in
wrapping a class with a virtual function that can be overridden in
Python:
<h3>C++ Module Definition</h3>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/utility.hpp&gt;
#include &lt;cstring&gt;
// class to be wrapped
class Base
{
public:
virtual char const* class_name() const { return "Base"; }
virtual ~Base();
};
bool is_base(Base* b)
{
return !std::strcmp(b-&gt;class_name(), "Base");
}
// Wrapper code begins here
using namespace boost::python;
// Callback class
class Base_callback : public Base
{
public:
Base_callback(PyObject* self) : m_self(self) {}
char const* class_name() const { return <b>call_method</b>&lt;char const*&gt;(m_self, "class_name"); }
char const* Base_name() const { return Base::class_name(); }
private:
PyObject* const m_self;
};
using namespace boost::python;
BOOST_PYTHON_MODULE(my_module)
{
def("is_base", is_base);
class_&lt;Base,Base_callback, noncopyable&gt;("Base")
.def("class_name", &amp;Base_callback::Base_name)
;
}
</pre>
<h3>Python Code</h3>
<pre>
&gt;&gt;&gt; from my_module import *
&gt;&gt;&gt; class Derived(Base):
... def __init__(self):
... Base.__init__(self)
... def class_name(self):
... return self.__class__.__name__
...
&gt;&gt;&gt; is_base(Base()) # calls the class_name() method from C++
1
&gt;&gt;&gt; is_base(Derived())
0
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - Calling Python Functions and Methods</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Calling Python Functions and Methods</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#argument_handling">Argument Handling</a></dt>
<dt><a href="#result_handling">Result Handling</a></dt>
<dt><a href="#result_handling">Rationale</a></dt>
</dl>
<hr>
<h2><a name="introduction">Introduction</a></h2>
The simplest way to call a Python function from C++, given an <code><a
href="object.html#object-spec">object</a></code> instance <code>f</code>
holding the function, is simply to invoke its function call operator.
<pre>
f("tea", 4, 2) // In Python: f('tea', 4, 2)
</pre>
And of course, a method of an <code><a href=
"object.html#object-spec">object</a></code> instance <code>x</code> can
be invoked by using the function-call operator of the corresponding
attribute:
<pre>
x.attr("tea")(4, 2); // In Python: x.tea(4, 2)
</pre>
<p>If you don't have an <code>object</code> instance, Boost.Python
provides two families of function templates, <code><a href=
"call.html#call-spec">call</a></code> and <code><a href=
"call_method.html#call_method-spec">call_method</a></code>, for invoking
Python functions and methods respectively on <code>PyObject*</code>s. The
interface for calling a Python function object (or any Python callable
object) looks like:</p>
<pre>
call&lt;ResultType&gt;(callable_object, a1, a2... a<i>N</i>);
</pre>
Calling a method of a Python object is similarly easy:
<pre>
call_method&lt;ResultType&gt;(self_object, "<i>method-name</i>", a1, a2... a<i>N</i>);
</pre>
This comparitively low-level interface is the one you'll use when
implementing C++ virtual functions that can be overridden in Python.
<h2><a name="argument_handling">Argument Handling</a></h2>
<p>Arguments are converted to Python according to their type. By default,
the arguments <code>a1</code>...<code>a<i>N</i></code> are copied into
new Python objects, but this behavior can be overridden by the use of
<code><a href="ptr.html#ptr-spec">ptr()</a></code> and <a href=
"../../../bind/ref.html">ref()</a>:</p>
<pre>
class X : boost::noncopyable
{
...
};
void apply(PyObject* callable, X&amp; x)
{
// Invoke callable, passing a Python object which holds a reference to x
boost::python::call&lt;void&gt;(callable, boost::ref(x));
}
</pre>
In the table below, <code><b>x</b></code> denotes the actual argument
object and <code><b>cv</b></code> denotes an optional
<i>cv-qualification</i>: "<code>const</code>", "<code>volatile</code>",
or "<code>const volatile</code>".
<table border="1" summary="class_ template parameters">
<tr>
<th>Argument Type</th>
<th>Behavior</th>
</tr>
<tr>
<td><code>T cv&amp;</code><br>
<code>T cv</code></td>
<td>The Python argument is created by the same means used for the
return value of a wrapped C++ function returning <code>T</code>. When
<code>T</code> is a class type, that normally means <code>*x</code>
is copy-constructed into the new Python object.</td>
</tr>
<tr>
<td><code>T*</code></td>
<td>If <code>x&nbsp;==&nbsp;0</code>, the Python argument will be
<code><a href=
"http://www.python.org/doc/current/lib/bltin-null-object.html">None</a></code>.
Otherwise, the Python argument is created by the same means used for
the return value of a wrapped C++ function returning <code>T</code>.
When <code>T</code> is a class type, that normally means
<code>*x</code> is copy-constructed into the new Python object.</td>
</tr>
<tr>
<td><code><a href=
"../../../bind/ref.html">boost::reference_wrapper</a>&lt;T&gt;</code></td>
<td>The Python argument contains a pointer to, rather than a copy of,
<code>x.get()</code>. Note: failure to ensure that no Python code
holds a reference to the resulting object beyond the lifetime of
<code>*x.get()</code> <b>may result in a crash!</b></td>
</tr>
<tr>
<td><code><a href=
"ptr.html#pointer_wrapper-spec">pointer_wrapper</a>&lt;T&gt;</code></td>
<td>If <code>x.get()&nbsp;==&nbsp;0</code>, the Python argument will
be <code><a href=
"http://www.python.org/doc/current/lib/bltin-null-object.html">None</a></code>.
Otherwise, the Python argument contains a pointer to, rather than a
copy of, <code>*x.get()</code>. Note: failure to ensure that no
Python code holds a reference to the resulting object beyond the
lifetime of <code>*x.get()</code> <b>may result in a crash!</b></td>
</tr>
</table>
<h2><a name="result_handling">Result Handling</a></h2>
In general, <code>call&lt;ResultType&gt;()</code> and
<code>call_method&lt;ResultType&gt;()</code> return
<code>ResultType</code> by exploiting all lvalue and rvalue
<code>from_python</code> converters registered for ResultType and
returning a copy of the result. However, when <code>ResultType</code> is
a pointer or reference type, Boost.Python searches only for lvalue
converters. To prevent dangling pointers and references, an exception
will be thrown if the Python result object has only a single reference
count.
<h2><a name="rationale">Rationale</a></h2>
In general, to get Python arguments corresponding to
<code>a1</code>...<code>a<i>N</i></code>, a new Python object must be
created for each one; should the C++ object be copied into that Python
object, or should the Python object simply hold a reference/pointer to
the C++ object? In general, the latter approach is unsafe, since the
called function may store a reference to the Python object somewhere. If
the Python object is used after the C++ object is destroyed, we'll crash
Python.
<p>In keeping with the philosophy that users on the Python side shouldn't
have to worry about crashing the interpreter, the default behavior is to
copy the C++ object, and to allow a non-copying behavior only if the user
writes <code><a href="../../../bind/ref.html">boost::ref</a>(a1)</code>
instead of a1 directly. At least this way, the user doesn't get dangerous
behavior "by accident". It's also worth noting that the non-copying
("by-reference") behavior is in general only available for class types,
and will fail at runtime with a Python exception if used otherwise[<a
href="#1">1</a>].</p>
<p>However, pointer types present a problem: one approach is to refuse to
compile if any aN has pointer type: after all, a user can always pass
<code>*aN</code> to pass "by-value" or <code>ref(*aN)</code> to indicate
a pass-by-reference behavior. However, this creates a problem for the
expected null pointer to <code>None</code> conversion: it's illegal to
dereference a null pointer value.</p>
<p>The compromise I've settled on is this:</p>
<ol>
<li>The default behavior is pass-by-value. If you pass a non-null
pointer, the pointee is copied into a new Python object; otherwise the
corresponding Python argument will be None.</li>
<li>if you want by-reference behavior, use <code>ptr(aN)</code> if
<code>aN</code> is a pointer and <code>ref(aN)</code> otherwise. If a
null pointer is passed to <code>ptr(aN)</code>, the corresponding
Python argument will be <code>None</code>.</li>
</ol>
<p>As for results, we have a similar problem: if <code>ResultType</code>
is allowed to be a pointer or reference type, the lifetime of the object
it refers to is probably being managed by a Python object. When that
Python object is destroyed, our pointer dangles. The problem is
particularly bad when the <code>ResultType</code> is char const* - the
corresponding Python String object is typically uniquely-referenced,
meaning that the pointer dangles as soon as <code>call&lt;char
const*&gt;(...)</code> returns.</p>
<p>The old Boost.Python v1 deals with this issue by refusing to compile
any uses of <code>call&lt;char const*&gt;()</code>, but this goes both
too far and not far enough. It goes too far because there are cases where
the owning Python string object survives beyond the call (just for
instance, when it's the name of a Python class), and it goes not far
enough because we might just as well have the same problem with a
returned pointer or reference of any other type.</p>
<p>In Boost.Python v2 this is dealt with by:</p>
<ol>
<li>lifting the compile-time restriction on const char* callback
returns</li>
<li>detecting the case when the reference count on the result Python
object is 1 and throwing an exception inside of
<code>call&lt;U&gt;(...)</code> when <code>U</code> is a pointer or
reference type.</li>
</ol>
This should be acceptably safe because users have to explicitly specify a
pointer/reference for <code>U</code> in <code>call&lt;U&gt;</code>, and
they will be protected against dangles at runtime, at least long enough
to get out of the <code>call&lt;U&gt;(...)</code> invocation.
<hr>
<a name="1">[1]</a> It would be possible to make it fail at compile-time
for non-class types such as int and char, but I'm not sure it's a good
idea to impose this restriction yet.
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
</html>

View File

@@ -1,88 +0,0 @@
Here's the plan:
I aim to provide an interface similar to that of Boost.Python v1's
callback<>::call(...) for dealing with callbacks. The interface will
look like:
returning<ResultType>::call("method_name", self_object, a1, a2...);
or
returning<ResultType>::call(callable_object, a1, a2...);
ARGUMENT HANDLING
There is an issue concerning how to make Python objects from the
arguments a1...aN. A new Python object must be created; should the C++
object be copied into that Python object, or should the Python object
simply hold a reference/pointer to the C++ object? In general, the
latter approach is unsafe, since the called function may store a
reference to the Python object somewhere. If the Python object is used
after the C++ object is destroyed, we'll crash Python.
I plan to make the copying behavior the default, and to allow a
non-copying behavior if the user writes boost::ref(a1) instead of a1
directly. At least this way, the user doesn't get dangerous behavior "by
accident". It's also worth noting that the non-copying ("by-reference")
behavior is in general only available for class types, and will fail at
runtime with a Python exception if used otherwise**
However, pointer types present a problem: My first thought is to refuse
to compile if any aN has pointer type: after all, a user can always pass
*aN to pass "by-value" or ref(*aN) to indicate a pass-by-reference
behavior. However, this creates a problem for the expected NULL pointer
=> None conversion: it's illegal to dereference a null pointer value.
We could use another construct, say "ptr(aN)", to deal with null
pointers, but then what does it mean? We know what it does when aN is
NULL, but it might either have by-value or by-reference behavior when aN
is non-null.
The compromise I've settled on is this:
1. The default behavior is pass-by-value. If you pass a non-null
pointer, the pointee is copied into a new Python object; otherwise
the corresponding Python argument will be None.
2. if you want by-reference behavior, use ptr(aN) if aN is a pointer
and ref(aN) otherwise. If a null pointer is passed to ptr(aN), the
corresponding Python argument will be None.
RESULT HANDLING
As for results, we have a similar problem: if ResultType is allowed to
be a pointer or reference type, the lifetime of the object it refers to
is probably being managed by a Python object. When that Python object is
destroyed, our pointer dangles. The problem is particularly bad when the
ResultType is char const* - the corresponding Python String object is
typically uniquely-referenced, meaning that the pointer dangles as soon
as returning<char const*>::call() returns.
Boost.Python v1 deals with this issue by refusing to compile any uses of
callback<char const*>::call(), but IMO this goes both too far and not
far enough. It goes too far because there are cases where the owning
String object survives beyond the call (just for instance when it's the
name of a Python class), and it goes not far enough because we might
just as well have the same problem with any returned pointer or
reference.
I propose to address this in Boost.Python v2 by
1. lifting the compile-time restriction on const
char* callback returns
2. detecting the case when the reference count on the
result Python object is 1 and throwing an exception
inside of returning<U>::call() when U is a pointer or
reference type.
I think this is acceptably safe because users have to explicitly specify
a pointer/reference for U in returning<U>, and they will be protected
against dangles at runtime, at least long enough to get out of the
returning<U>::call() invocation.
-Dave
**It would be possible to make it fail at compile-time for non-class
types such as int and char, but I'm not sure it's a good idea to impose
this restriction yet.

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@@ -1,804 +0,0 @@
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<title>Boost.Python - &lt;boost/python/class.hpp&gt;,
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<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
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<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Headers &lt;boost/python/class.hpp&gt;,
&lt;boost/python/class_fwd.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#class_-spec">Class template
<code>class_</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#class_-spec-synopsis">Class <code>class_</code>
synopsis</a></dt>
<dt><a href="#class_-spec-ctors">Class <code>class_</code>
constructors</a></dt>
<dt><a href="#class_-spec-modifiers">Class <code>class_</code>
modifier functions</a></dt>
</dl>
</dd>
<dt><a href="#bases-spec">Class template
<code>bases</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#bases-spec-synopsis">Class template
<code>bases</code> synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/class.hpp&gt;</code> defines the interface
through which users expose their C++ classes to Python. It declares the
<code>class_</code> class template, which is parameterized on the class
type being exposed. It also exposes the <code>init</code>,
<code>optional</code> and <code>bases</code> utility class templates,
which are used in conjunction with <code>class_</code>.</p>
<p><code>&lt;boost/python/class_fwd.hpp&gt;</code> contains a forward
declaration of the <code>class_</code> class template.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="class_-spec"></a>Class template
<code>class_&lt;T,&nbsp;<font color="#007F00">Bases,&nbsp;HeldType,
NonCopyable</font>&gt;</code></h3>
<p>Creates a Python class associated with the C++ type passed as its
first parameter. Although it has four template parameters, only the first
one is required. The three optional arguments can actually be supplied
<font color="#007F00"><b>in any order</b></font>; Boost.Python determines
the role of the argument from its type.<br>
<br>
</p>
<table border="1" summary="class_ template parameters">
<tr>
<th>Template Parameter</th>
<th>Requirements</th>
<th>Semantics</th>
<th>Default</th>
</tr>
<tr>
<td><code>T</code></td>
<td>A class type.</td>
<td>The class being wrapped</td>
</tr>
<tr>
<td><code><font color="#007F00">Bases</font></code></td>
<td>A specialization of <a href=
"#bases-spec"><code>bases&lt;</code>...<code>&gt;</code></a> which
specifies previously-exposed C++ base classes of <code>T</code><a
href="#footnote_1">[1]</a>.</td>
<td>Registers <code>from_python</code> conversions from wrapped
<code>T</code> instances to each of its exposed direct and indirect
bases. For each polymorphic base <code>B</code>, registers
conversions from indirectly-held wrapped <code>B</code> instances to
<code>T</code>.</td>
<td><code><a href="#bases-spec">bases&lt;&gt;</a></code></td>
</tr>
<tr>
<td><code><font color="#007F00">HeldType</font></code></td>
<td>Must be <code>T</code>, a class derived from <code>T</code>, or a
<a href="Dereferenceable.html">Dereferenceable</a> type for which
<code><a href=
"pointee.html#pointee-spec">pointee</a>&lt;HeldType&gt;::type</code>
is <code>T</code> or a class derived from <code>T</code>.</td>
<td>Specifies the type which is actually embedded in a Python object
wrapping a <code>T</code> instance. More details <a href=
"#HeldType">below</a>.</td>
<td><code>T</code></td>
</tr>
<tr>
<td><code><font color="#007F00">NonCopyable</font></code></td>
<td>If supplied, must be <a href=
"../../../utility/utility.htm#Class_noncopyable">boost::noncopyable</a>.</td>
<td>Suppresses automatic registration of <code>to_python</code>
conversions which copy <code>T</code> instances. Required when
<code>T</code> has no publicly-accessible copy constructor.</td>
<td>An unspecified type other than
<code>boost::noncopyable</code>.</td>
</tr>
</table>
<h4><a name="HeldType">HeldType Semantics</a></h4>
<ol>
<li>If <code>HeldType</code> is derived from T, its exposed
constructor(s) must accept an initial <code>PyObject*</code> argument
which refers back to the Python object that contains the
<code>HeldType</code> instance, as shown in <a href=
"call_method.html#examples">this example</a>. This argument is not
included in the <em><a href=
"init.html#init-expressions">init-expression</a></em> passed to <a
href="#class_-spec-modifiers"><code>def(init_expr)</code></a>, below,
nor is it passed explicitly by users when Python instances of
<code>T</code> are created. This idiom allows C++ virtual functions
which will be overridden in Python to access the Python object so the
Python method can be invoked. Boost.Python automatically registers
additional converters which allow wrapped instances of <code>T</code>
to be passed to wrapped C++ functions expecting <code>HeldType</code>
arguments.</li>
<li>Because Boost.Python will always allow wrapped instances of
<code>T</code> to be passed in place of <code>HeldType</code>
arguments, specifying a smart pointer for <code>HeldType</code> allows
users to pass Python <code>T</code> instances where a smart
pointer-to-<code>T</code> is expected. Smart pointers such as
<code>std::auto_ptr&lt;&gt;</code> or <code><a href=
"../../../smart_ptr/shared_ptr.htm">boost::shared_ptr&lt;&gt;</a></code>
which contain a nested type <code>element_type</code> designating the
referent type are automatically supported; additional smart pointer
types can be supported by specializing <a href=
"pointee.html#pointee-spec">pointee&lt;HeldType&gt;</a>.</li>
<li>As in case 1 above, when <code>HeldType</code> is a smart pointer
to a class derived from <code>T</code>, the initial
<code>PyObject*</code> argument must be supplied by all of
<code>HeldType</code>'s exposed constructors.</li>
<li>Except in cases 1 and 3, users may optionally specify that T itself
gets initialized with a similar initial <code>PyObject*</code> argument
by specializing <a href=
"has_back_reference.html#has_back_reference-spec">has_back_reference&lt;T&gt;</a>.</li>
</ol>
<h4><a name="class_-spec-synopsis"></a>Class template <code>class_</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class T
<font color="#007F00"> , class Bases = bases&lt;&gt;
, class HeldType = T
, class NonCopyable = <i>unspecified</i>
&gt;
</font> class class_ : public <a href="object.html#object-spec">object</a>
{
// Constructors with default __init__
class_(char const* name);
class_(char const* name, char const* docstring);
// Constructors, specifying non-default __init__
template &lt;class Init&gt;
class_(char const* name, Init);
template &lt;class Init&gt;
class_(char const* name, char const* docstring, Init);
// Exposing additional __init__ functions
template &lt;class Init&gt;
class_&amp; def(Init);
// defining methods
template &lt;class F&gt;
class_&amp; def(char const* name, F f);
template &lt;class Fn, class A1&gt;
class_&amp; def(char const* name, Fn fn, A1 const&amp;);
template &lt;class Fn, class A1, class A2&gt;
class_&amp; def(char const* name, Fn fn, A1 const&amp;, A2 const&amp;);
template &lt;class Fn, class A1, class A2, class A3&gt;
class_&amp; def(char const* name, Fn fn, A1 const&amp;, A2 const&amp;, A3 const&amp;);
// declaring method as static
class_&amp; staticmethod(char const* name);
// exposing operators
template &lt;<i>unspecified</i>&gt;
class_&amp; def(<a href=
"operators.html#operator_-spec">detail::operator_</a>&lt;unspecified&gt;);
// Raw attribute modification
template &lt;class U&gt;
class_&amp; setattr(char const* name, U const&amp;);
// exposing data members
template &lt;class D&gt;
class_&amp; def_readonly(char const* name, D T::*pm);
template &lt;class D&gt;
class_&amp; def_readwrite(char const* name, D T::*pm);
// exposing static data members
template &lt;class D&gt;
class_&amp; def_readonly(char const* name, D const&amp; d);
template &lt;class D&gt;
class_&amp; def_readwrite(char const* name, D&amp; d);
// property creation
template &lt;class Get&gt;
void add_property(char const* name, Get const&amp; fget, char const* doc=0);
template &lt;class Get, class Set&gt;
void add_property(
char const* name, Get const&amp; fget, Set const&amp; fset, char const* doc=0);
template &lt;class Get&gt;
void add_static_property(char const* name, Get const&amp; fget);
template &lt;class Get, class Set&gt;
void add_static_property(char const* name, Get const&amp; fget, Set const&amp; fset);
// pickle support
template &lt;typename PickleSuite&gt;
self&amp; def_pickle(PickleSuite const&amp;);
self&amp; enable_pickling();
};
}}
</pre>
<h4><a name="class_-spec-ctors"></a>Class template <code>class_</code>
constructors</h4>
<pre>
class_(char const* name);
class_(char const* name, char const* docstring);
template &lt;class Init&gt;
class_(char const* name, Init init_spec);
template &lt;class Init&gt;
class_(char const* name, char const* docstring, Init init_spec);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>. If <code>docstring</code> is supplied, it must be an
<a href="definitions.html#ntbs">ntbs</a>. If <code>init_spec</code> is
supplied, it must be either the special enumeration constant
<code>no_init</code> or an <a href=
"init.html#init-expressions">init-expression</a> compatible with
<code>T</code>.</dt>
<dt><b>Effects:</b> Constructs a <code>class_</code> object holding a
Boost.Python extension class named <code>name</code>. The
<code>name</code>d attribute of the <a href=
"scope.html#introduction">current scope</a> is bound to the new
extension class.</dt>
<dd>
<ul>
<li>If supplied, the value of <code>docstring</code> is bound to
the <code>__doc__</code> attribute of the extension class.</li>
<li>If <code>init_spec</code> is <code>no_init</code>, a special
<code>__init__</code> function is generated which always raises a
Python exception. Otherwise, <code>this-&gt;def(init_spec)</code>
is called.</li>
<li>If <code>init_spec</code> is not supplied,
<code>this-&gt;def(init&lt;&gt;())</code> is called.</li>
</ul>
</dd>
<dt><b>Rationale:</b>Allowing the user to specify constructor arguments
in the <code>class_&lt;&gt;</code> constructor helps her to avoid the
common run-time errors which result from invoking wrapped member
functions without having exposed an <code>__init__</code> function
which creates the requisite <code>T</code> instance. Types which are
not default-constructible will cause a compile-time error unless
<code>Init</code> is supplied. The user must always supply
<code>name</code> as there is currently no portable method to derive
the text of the class name from its type.</dt>
</dl>
<h4><a name="class_-spec-modifiers"></a>Class template
<code>class_</code> modifier functions</h4>
<pre>
template &lt;class Init&gt;
class_&amp; def(Init init_expr);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>init_expr</code> is the result of an <a
href="init.html#init-expressions">init-expression</a> compatible with
<code>T</code>.</dt>
<dt><b>Effects:</b> For each <a href="init.html#init-expressions">valid
prefix</a> <em>P</em> of <code>Init</code>, adds an
<code>__init__(</code>...<code>)</code> function overload to the
extension class accepting <em>P</em> as arguments. Each overload
generated constructs an object of <code>HeldType</code> according to
the semantics described <a href="#HeldType">above</a>, using a copy of
<code>init_expr</code>'s <a href="CallPolicies.html">call policies</a>.
If the longest <a href="init.html#init-expressions">valid prefix</a> of
<code>Init</code> contains <em>N</em> types and <code>init_expr</code>
holds <em>M</em> keywords, an initial sequence of the keywords are used
for all but the first <em>N</em>&nbsp;-&nbsp;<em>M</em> arguments of
each overload.</dt>
<dt><b>Returns:</b> <code>*this</code></dt>
<dt><b>Rationale:</b> Allows users to easily expose a class'
constructor to Python.</dt>
</dl>
<br>
<pre>
template &lt;class F&gt;
class_&amp; def(char const* name, Fn fn);
template &lt;class Fn, class A1&gt;
class_&amp; def(char const* name, Fn fn, A1 const&amp; a1);
template &lt;class Fn, class A1, class A2&gt;
class_&amp; def(char const* name, Fn fn, A1 const&amp; a1, A2 const&amp; a2);
template &lt;class Fn, class A1, class A2, class A3&gt;
class_&amp; def(char const* name, Fn fn, A1 const&amp; a1, A2 const&amp; a2, A3 const&amp; a3);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>.</dt>
<dd>
<ul>
<li>
If <code>a1</code> is the result of an <a href=
"overloads.html#overload-dispatch-expression"><em>overload-dispatch-expression</em></a>,
only the second form is allowed and fn must be a pointer to
function or pointer to member function whose <a href=
"definitions.html#arity">arity</a> is the same as A1's <a href=
"overloads.html#overload-dispatch-expression"><em>maximum
arity</em></a>.
<dl>
<dt><b>Effects:</b> For each prefix <em>P</em> of
<code>Fn</code>'s sequence of argument types, beginning with
the one whose length is <code>A1</code>'s <a href=
"overloads.html#overload-dispatch-expression"><em>minimum
arity</em></a>, adds a
<code><em>name</em>(</code>...<code>)</code> method overload to
the extension class. Each overload generated invokes
<code>a1</code>'s call-expression with <em>P</em>, using a copy
of <code>a1</code>'s <a href="CallPolicies.html">call
policies</a>. If the longest valid prefix of <code>A1</code>
contains <em>N</em> types and <code>a1</code> holds <em>M</em>
keywords, an initial sequence of the keywords are used for all
but the first <em>N</em>&nbsp;-&nbsp;<em>M</em> arguments of
each overload.<br>
</dt>
</dl>
</li>
<li>
Otherwise, a single method overload is built around fn, which
must not be null:
<ul>
<li>If fn is a function pointer, its first argument must be of
the form <code>U</code>, <code>U&nbsp;<em>cv</em>&amp;</code>,
<code>U&nbsp;<em>cv</em>*</code>, or
<code>U&nbsp;<em>cv</em>*&nbsp;const&amp;</code>, where
<code>T*</code> is convertible to <code>U*</code>, and
<code>a1</code>-<code>a3</code>, if supplied, may be selected
in any order from the table below.</li>
<li>Otherwise, if fn is a member function pointer, its target
must be <code>T</code> or one of its public base classes, and
<code>a1</code>-<code>a3</code>, if supplied, may be selected
in any order from the table below.</li>
<li>Otherwise, <code>Fn</code> must be [derived from] <code><a
href="object.html#object-spec">object</a></code>, and
<code>a1-a2</code>, if supplied, may be selcted in any order
from the first two rows of the table below. To be useful,
<code>fn</code> should be <a href=
"http://www.python.org/doc/current/lib/built-in-funcs.html#l2h-6">
callable</a>.</li>
</ul>
<table border="1" summary="def() optional arguments">
<tr>
<th>Memnonic Name</th>
<th>Requirements/Type properties</th>
<th>Effects</th>
</tr>
<tr>
<td>docstring</td>
<td>Any <a href="definitions.html#ntbs">ntbs</a>.</td>
<td>Value will be bound to the <code>__doc__</code> attribute
of the resulting method overload. If an earlier overload
supplied a docstring, two newline characters and the new
docstring are appended to it.</td>
</tr>
<tr>
<td>policies</td>
<td>A model of <a href=
"CallPolicies.html">CallPolicies</a></td>
<td>A copy will be used as the call policies of the resulting
method overload.</td>
</tr>
<tr>
<td>keywords</td>
<td>The result of a <a href=
"args.html#keyword-expression"><em>keyword-expression</em></a>
specifying no more arguments than the <a href=
"definitions.html#arity">arity</a> of <code>fn</code>.</td>
<td>A copy will be used as the call policies of the resulting
method overload.</td>
</tr>
</table>
</li>
</ul>
</dd>
<dt><b>Returns:</b> <code>*this</code></dt>
</dl>
<pre>
class_&amp; staticmethod(char const* name);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>, and corresponds to a method whose overloads have all
been defined.</dt>
<dt><b>Effects:</b> Replaces the existing named attribute <i>x</i> with
the result of invoking <code>staticmethod(</code><i>x</i><code>)</code>
in Python. Specifies that the corresponding method is static and
therefore no object instance will be passed to it. This is equivalent
to the Python statement:</dt>
<dd>
<pre>
setattr(self, name, staticmethod(getattr(self, name)))
</pre>
</dd>
<dt><b>Note:</b> Attempting to invoke <code>def(name,...)</code> after
invoking <code>staticmethod(name)</code> will <a href=
"definitions.html#raise">raise</a> a RuntimeError.</dt>
<dt><b>Returns:</b> <code>*this</code></dt>
</dl>
<br>
<pre>
template &lt;<i>unspecified</i>&gt;
class_&amp; def(<a href=
"operators.html#operator_-spec">detail::operator_</a>&lt;unspecified&gt;);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> Adds a Python <a href=
"http://www.python.org/doc/ref/specialnames.html">special method</a> as
described <a href="operators.html">here</a>.</dt>
<dt><b>Returns:</b> <code>*this</code></dt>
</dl>
<pre>
template &lt;class U&gt;
class_&amp; setattr(char const* name, U const&amp; u);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>.</dt>
<dt><b>Effects:</b> Converts u to Python and adds it to the attribute
dictionary of the extension class:</dt>
<dd>
<blockquote>
<code><a href=
"http://www.python.org/doc/current/api/object.html#l2h-166">PyObject_SetAttrString</a>(this-&gt;ptr(),&nbsp;name,&nbsp;<a
href="object.html#object-spec-ctors">object</a>(u).ptr());</code>
</blockquote>
</dd>
<dt><b>Returns:</b> <code>*this</code></dt>
</dl>
<br>
<pre>
template &lt;class Get&gt;
void add_property(char const* name, Get const&amp; fget, char const* doc=0);
template &lt;class Get, class Set&gt;
void add_property(
char const* name, Get const&amp; fget, Set const&amp; fset, char const* doc=0);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conform to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>.</dt>
<dt><b>Effects:</b> Creates a new Python <a href=
"http://www.python.org/2.2.2/descrintro.html#property"><code>property</code></a>
class instance, passing <code><a href=
"object.html#object-spec-ctors">object</a>(fget)</code> (and <code><a
href="object.html#object-spec-ctors">object</a>(fset)</code> in the
second form) with an (optional) docstring <code>doc</code> to its constructor,
then adds that property to the Python class object under construction
with the given attribute <code>name</code>.</dt>
<dt><b>Returns:</b> <code>*this</code></dt>
<dt><b>Rationale:</b> Allows users to easily expose functions that can
be invoked from Python with attribute access syntax.</dt>
</dl>
<br>
<pre>
template &lt;class Get&gt;
void add_static_property(char const* name, Get const&amp; fget);
template &lt;class Get, class Set&gt;
void add_static_property(char const* name, Get const&amp; fget, Set const&amp; fset);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>.</dt>
<dt><b>Effects:</b> Creates a Boost.Python.StaticProperty object,
passing <code><a href=
"object.html#object-spec-ctors">object</a>(fget)</code> (and <code><a
href="object.html#object-spec-ctors">object</a>(fset)</code> in the
second form) to its constructor, then adds that property to the Python
class under construction with the given attribute <code>name</code>.
StaticProperty is a special subclass of Python's <a href=
"http://www.python.org/2.2.2/descrintro.html#property"><code>property</code></a>
class which can be called without an initial <code>self</code>
argument.</dt>
<dt><b>Returns:</b> <code>*this</code></dt>
<dt><b>Rationale:</b> Allows users to easily expose functions that can
be invoked from Python with static attribute access syntax.</dt>
</dl>
<br>
<pre>
template &lt;class D&gt;
class_&amp; def_readonly(char const* name, D T::*pm, char const* doc=0);
template &lt;class D&gt;
class_&amp; def_readonly(char const* name, D const&amp; d);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>. <code>doc</code> is also an ntbs.</dt>
<dt><b>Effects:</b></dt>
<dd>
<pre>
this-&gt;add_property(name, <a href=
"data_members.html#make_getter-spec">make_getter</a>(pm), doc);
</pre>
and
<pre>
this-&gt;add_static_property(name, <a href=
"data_members.html#make_getter-spec">make_getter</a>(d));
</pre>
respectively.<br>
<br>
</dd>
<dt><b>Returns:</b> <code>*this</code></dt>
<dt><b>Rationale:</b> Allows users to easily expose a class' data
member or free variable such that it can be inspected from Python with
a natural syntax.</dt>
</dl>
<pre>
template &lt;class D&gt;
class_&amp; def_readwrite(char const* name, D T::*pm, char const* doc=0);
template &lt;class D&gt;
class_&amp; def_readwrite(char const* name, D&amp; d);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b></dt>
<dd>
<pre>
this-&gt;add_property(name, <a href=
"data_members.html#make_getter-spec">make_getter</a>(pm), <a href=
"data_members.html#make_setter-spec">make_setter</a>(pm), doc);
</pre>
and
<pre>
this-&gt;add_static_property(name, <a href=
"data_members.html#make_getter-spec">make_getter</a>(d), <a href=
"data_members.html#make_setter-spec">make_setter</a>(d));
</pre>
respectively.<br>
<br>
</dd>
<dt><b>Returns:</b> <code>*this</code></dt>
<dt><b>Rationale:</b> Allows users to easily expose a class' data or
free variable member such that it can be inspected and set from Python
with a natural syntax.</dt>
</dl>
<pre>
template &lt;typename PickleSuite&gt;
class_&amp; def_pickle(PickleSuite const&amp;);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> PickleSuite must be publically derived from <a
href="pickle.html"><code>pickle_suite</code></a>.</dt>
<dt><b>Effects:</b> Defines a legal combination of the special
attributes and methods: <code>__getinitargs__</code>,
<code>__getstate__</code>, <code>__setstate__</code>,
<code>__getstate_manages_dict__</code>,
<code>__safe_for_unpickling__</code>, <code>__reduce__</code></dt>
<dt><b>Returns:</b> <code>*this</code></dt>
<dt><b>Rationale:</b> Provides an <a href="pickle.html">easy to use
high-level interface</a> for establishing complete pickle support for
the wrapped class. The user is protected by compile-time consistency
checks.</dt>
</dl>
<br>
<pre>
class_&amp; enable_pickling();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> Defines the <code>__reduce__</code> method and
the <code>__safe_for_unpickling__</code> attribute.
<dt><b>Returns:</b> <code>*this</code></dt>
<dt><b>Rationale:</b> Light-weight alternative to
<code>def_pickle()</code>. Enables implementation of
<a href="pickle.html">pickle support</a> from Python.</dt>
</dl>
<br>
<h3><a name="bases-spec"></a>Class template
<code>bases&lt;T1,&nbsp;T2,</code>...<code>TN&gt;</code></h3>
<p>An <a href="../../../mpl/doc/refmanual/forward-sequence.html">MPL sequence</a>
which can be used in <code>class_&lt;</code>...<code>&gt;</code>
instantiations indicate a list of base classes.</p>
<h4><a name="bases-spec-synopsis"></a>Class template <code>bases</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;T1 = <i>unspecified</i>,...T<i>n</i> = <i>unspecified</i>&gt;
struct bases
{};
}}
</pre>
<h2><a name="examples"></a>Example(s)</h2>
<p>Given a C++ class declaration:</p>
<pre>
class Foo : public Bar, public Baz
{
public:
Foo(int x, char const* y);
Foo(double);
std::string const&amp; name() { return m_name; }
void name(char const*);
double value; // public data
private:
...
};
</pre>
A corresponding Boost.Python extension class can be created with:
<pre>
using namespace boost::python;
class_&lt;Foo,bases&lt;Bar,Baz&gt; &gt;("Foo",
"This is Foo's docstring."
"It describes our Foo extension class",
init&lt;int,char const*&gt;(args("x","y"), "__init__ docstring")
)
.def(init&lt;double&gt;())
.def("get_name", &amp;Foo::get_name, return_internal_reference&lt;&gt;())
.def("set_name", &amp;Foo::set_name)
.def_readwrite("value", &amp;Foo::value)
;
</pre>
<hr>
<a name="footnote_1">[1]</a> By "previously-exposed" we mean that the for
each <code>B</code> in <code>bases</code>, an instance of
<code>class_&lt;B<font color="#007F00">, ...</font>&gt;</code> must have
already been constructed.
<pre>
class_&lt;Base&gt;("Base");
class_&lt;Derived, bases&lt;Base&gt; &gt;("Derived");
</pre>
Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
5 August, 2002 <!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
</html>

View File

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - Configuration</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Configuration</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#app-defined">Application Defined Macros</a></dt>
<dt><a href="#lib-defined-impl">Library Defined Implementation
Macros</a></dt>
</dl>
<h2><a name="introduction"></a>Introduction</h2>
<p><b>Boost.Python</b> uses several configuration macros in <a href=
"http://www.boost.org/libs/config/config.htm">&lt;boost/config.hpp&gt;</a>,
as well as configuration macros meant to be supplied by the application.
These macros are documented here.</p>
<h2><a name="app-defined"></a>Application Defined Macros</h2>
<p>These are the macros that may be defined by an application using
<b>Boost.Python</b>. Note that if you extend a strict interpretation of
the C++ standard to cover dynamic libraries, using different values of
these macros when compiling different libraries (including extension
modules and the <b>Boost.Python</b> library itself) is a violation of the
<a href="definitions.html#ODR">ODR</a>. However, we know of no C++
implementations on which this particular violation is detectable or
causes any problems.</p>
<table summary="application defined macros" width="100%" cellpadding=
"10">
<tr>
<th align="left"><b>Macro</b></th>
<th><b>Default</b></th>
<th align="left"><b>Meaning</b></th>
</tr>
<tr>
<td valign="top"><code>BOOST_PYTHON_MAX_ARITY</code></td>
<td valign="top" align="center">15</td>
<td valign="top">The maximum <a href=
"definitions.html#arity">arity</a> of any function, member function,
or constructor to be wrapped, invocation of a <b>Boost.Python</b>
function wich is specified as taking arguments
<code>x1,&nbsp;x2,</code>...<code>X</code><i>n</i>. This includes, in
particular, callback mechanisms such as <code><a href=
"object.html#object-spec">object</a>::operator()(</code>...<code>)</code>
or <code><a href=
"call_method.html#call_method-spec">call_method</a>&lt;R&gt;(</code>...
<code>)</code>.</td>
</tr>
<tr>
<td valign="top"><code>BOOST_PYTHON_MAX_BASES</code></td>
<td valign="top" align="center">10</td>
<td valign="top">The maximum number of template arguments to the
<code><a href=
"class.html#bases-spec">bases</a>&lt;</code>...<code>&gt;</code>
class template, which is used to specify the bases of a wrapped C++
class..</td>
</tr>
<tr>
<td valign="top"><code>BOOST_PYTHON_STATIC_MODULE</code></td>
<td valign="top" align="center"><i>not&nbsp;defined</i></td>
<td valign="top">If defined, prevents your module initialization
function from being treated as an exported symbol on platforms which
support that distinction in-code</td>
</tr>
</table>
<h2><a name="lib-defined-impl"></a>Library Defined Implementation
Macros</h2>
<p>These macros are defined by <b>Boost.Python</b> and are implementation
details of interest only to implementors and those porting to new
platforms.</p>
<table summary="library defined implementation macros" width="100%"
cellpadding="10">
<tr>
<th align="left"><b>Macro</b></th>
<th><b>Default</b></th>
<th align="left"><b>Meaning</b></th>
</tr>
<tr>
<td valign="top"><code>BOOST_PYTHON_TYPE_ID_NAME</code></td>
<td valign="top" align="center"><i>not&nbsp;defined</i></td>
<td valign="top">If defined, this indicates that the type_info
comparison across shared library boundaries does not work on this
platform. In other words, if shared-lib-1 passes
<code>typeid(T)</code> to a function in shared-lib-2 which compares
it to <code>typeid(T)</code>, that comparison may return
<code>false</code>. If this macro is #defined, Boost.Python uses and
compares <code>typeid(T).name()</code> instead of using and comparing
the <code>std::type_info</code> objects directly.</td>
</tr>
</table>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
7 January, 2003
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
</html>

View File

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<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python -
&lt;boost/python/copy_const_reference.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header
&lt;boost/python/copy_const_reference.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#copy_const_reference-spec">Class
<code>copy_const_reference</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#copy_const_reference-spec-synopsis">Class
<code>copy_const_reference</code> synopsis</a></dt>
<dt><a href="#copy_const_reference-spec-metafunctions">Class
<code>copy_const_reference</code> metafunctions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="copy_const_reference-spec"></a>Class
<code>copy_const_reference</code></h3>
<p><code>copy_const_reference</code> is a model of <a href=
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a>
which can be used to wrap C++ functions returning a reference-to-const
type such that the referenced value is copied into a new Python
object.</p>
<h4><a name="copy_const_reference-spec-synopsis"></a>Class
<code>copy_const_reference</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
struct copy_const_reference
{
template &lt;class T&gt; struct apply;
};
}}
</pre>
<h4><a name="copy_const_reference-spec-metafunctions"></a>Class
<code>copy_const_reference</code> metafunctions</h4>
<pre>
template &lt;class T&gt; struct apply
</pre>
<dl class="metafunction-semantics">
<dt><b>Requires:</b> <code>T</code> is <code>U const&amp;</code> for
some <code>U</code>.</dt>
<dt><b>Returns:</b> <code>typedef <a href=
"to_python_value.html#to_python_value-spec">to_python_value</a>&lt;T&gt;
type;</code></dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<h3>C++ Module Definition</h3>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/python/copy_const_reference.hpp&gt;
#include &lt;boost/python/return_value_policy.hpp&gt;
// classes to wrap
struct Bar { int x; }
struct Foo {
Foo(int x) : { b.x = x; }
Bar const&amp; get_bar() const { return b; }
private:
Bar b;
};
// Wrapper code
using namespace boost::python;
BOOST_PYTHON_MODULE(my_module)
{
class_&lt;Bar&gt;("Bar");
class_&lt;Foo&gt;("Foo", init&lt;int&gt;())
.def("get_bar", &amp;Foo::get_bar
, return_value_policy&lt;copy_const_reference&gt;())
;
}
</pre>
<h3>Python Code</h3>
<pre>
&gt;&gt;&gt; from my_module import *
&gt;&gt;&gt; f = Foo(3) # create a Foo object
&gt;&gt;&gt; b = f.get_bar() # make a copy of the internal Bar object
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
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<title>Boost.Python -
&lt;boost/python/copy_non_const_reference.hpp&gt;</title>
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<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header
&lt;boost/python/copy_non_const_reference.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#copy_non_const_reference-spec">Class
<code>copy_non_const_reference</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#copy_non_const_reference-spec-synopsis">Class
<code>copy_non_const_reference</code> synopsis</a></dt>
<dt><a href=
"#copy_non_const_reference-spec-metafunctions">Class
<code>copy_non_const_reference</code> metafunctions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="copy_non_const_reference-spec"></a>Class
<code>copy_non_const_reference</code></h3>
<p><code>copy_non_const_reference</code> is a model of <a href=
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a>
which can be used to wrap C++ functions returning a
reference-to-non-const type such that the referenced value is copied into
a new Python object.</p>
<h4><a name="copy_non_const_reference-spec-synopsis"></a>Class
<code>copy_non_const_reference</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
struct copy_non_const_reference
{
template &lt;class T&gt; struct apply;
};
}}
</pre>
<h4><a name="copy_non_const_reference-spec-metafunctions"></a>Class
<code>copy_non_const_reference</code> metafunctions</h4>
<pre>
template &lt;class T&gt; struct apply
</pre>
<dl class="metafunction-semantics">
<dt><b>Requires:</b> <code>T</code> is <code>U&amp;</code> for some
non-const <code>U</code>.</dt>
<dt><b>Returns:</b> <code>typedef <a href=
"to_python_value.html#to_python_value-spec">to_python_value</a>&lt;T&gt;
type;</code></dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<p>C++ code:</p>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/python/copy_non_const_reference.hpp&gt;
#include &lt;boost/python/return_value_policy.hpp&gt;
// classes to wrap
struct Bar { int x; }
struct Foo {
Foo(int x) : { b.x = x; }
Bar&amp; get_bar() { return b; }
private:
Bar b;
};
// Wrapper code
using namespace boost::python;
BOOST_PYTHON_MODULE(my_module)
{
class_&lt;Bar&gt;("Bar");
class_&lt;Foo&gt;("Foo", init&lt;int&gt;())
.def("get_bar", &amp;Foo::get_bar
, return_value_policy&lt;copy_non_const_reference&gt;())
;
}
</pre>
Python Code:
<pre>
&gt;&gt;&gt; from my_module import *
&gt;&gt;&gt; f = Foo(3) # create a Foo object
&gt;&gt;&gt; b = f.get_bar() # make a copy of the internal Bar object
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
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<head>
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<title>Boost.Python - &lt;boost/python/data_members.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header
&lt;boost/python/data_members.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#make_getter-spec">make_getter</a></dt>
<dt><a href="#make_setter-spec">make_setter</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code><a href="#make_getter-spec">make_getter</a>()</code> and
<code><a href="#make_setter-spec">make_setter</a>()</code> are the
functions used internally by <code>class_&lt;&gt;::<a href=
"class.html#class_-spec-modifiers">def_readonly</a></code> and
<code>class_&lt;&gt;::<a href=
"class.html#class_-spec-modifiers">def_readwrite</a></code> to produce
Python callable objects which wrap C++ data members.</p>
<h2><a name="functions"></a>Functions</h2>
<pre>
<a name="make_getter-spec">template &lt;class C, class D&gt;</a>
<a href="object.html#object-spec">object</a> make_getter(D C::*pm);
template &lt;class C, class D, class Policies&gt;
<a href=
"object.html#object-spec">object</a> make_getter(D C::*pm, Policies const&amp; policies);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>Policies</code> is a model of <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>Effects:</b> Creates a Python callable object which accepts a
single argument that can be converted <code>from_python</code> to
<code>C*</code>, and returns the corresponding member <code>D</code>
member of the <code>C</code> object, converted <code>to_python</code>.
If <code>policies</code> is supplied, it will be applied to the
function as described <a href="CallPolicies.html">here</a>. Otherwise,
the library attempts to determine whether <code>D</code> is a
user-defined class type, and if so uses <code><a href=
"return_internal_reference.html#return_internal_reference-spec">return_internal_reference</a>&lt;&gt;</code></dt>
<dt>for <code>Policies</code>. Note that this test may inappropriately
choose <code>return_internal_reference&lt;&gt;</code> in some cases
when <code>D</code> is a smart pointer type. This is a known
defect.</dt>
<dt><b>Returns:</b> An instance of <a href=
"object.html#object-spec">object</a> which holds the new Python
callable object.</dt>
</dl>
<pre>
template &lt;class D&gt;
<a href="object.html#object-spec">object</a> make_getter(D const&amp; d);
template &lt;class D, class Policies&gt;
<a href=
"object.html#object-spec">object</a> make_getter(D const&amp; d, Policies const&amp; policies);
template &lt;class D&gt;
<a href="object.html#object-spec">object</a> make_getter(D const* p);
template &lt;class D, class Policies&gt;
<a href=
"object.html#object-spec">object</a> make_getter(D const* p, Policies const&amp; policies);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>Policies</code> is a model of <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>Effects:</b> Creates a Python callable object which accepts no
arguments and returns <code>d</code> or <code>*p</code>, converted
<code>to_python</code> on demand. If <code>policies</code> is supplied,
it will be applied to the function as described <a href=
"CallPolicies.html">here</a>. Otherwise, the library attempts to
determine whether <code>D</code> is a user-defined class type, and if
so uses <code><a href=
"reference_existing_object.html#reference_existing_object-spec">reference_existing_object</a></code></dt>
<dt>for <code>Policies</code>.</dt>
<dt><b>Returns:</b> An instance of <a href=
"object.html#object-spec">object</a> which holds the new Python
callable object.</dt>
</dl>
<pre>
<a name="make_setter-spec">template &lt;class C, class D&gt;</a>
<a href="object.html#object-spec">object</a> make_setter(D C::*pm);
template &lt;class C, class D, class Policies&gt;
<a href=
"object.html#object-spec">object</a> make_setter(D C::*pm, Policies const&amp; policies);
</pre>
<dl class="function*-semantics">
<dt><b>Requires:</b> <code>Policies</code> is a model of <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>Effects:</b> Creates a Python callable object which, when called
from Python, expects two arguments which can be converted
<code>from_python</code> to <code>C*</code> and
<code>D&nbsp;const&amp;</code>, respectively, and sets the
corresponding <code>D</code> member of the <code>C</code> object. If
<code>policies</code> is supplied, it will be applied to the function
as described <a href="CallPolicies.html">here</a>.</dt>
<dt><b>Returns:</b> An instance of <a href=
"object.html#object-spec">object</a> which holds the new Python
callable object.</dt>
</dl>
<pre>
template &lt;class D&gt;
<a href="object.html#object-spec">object</a> make_setter(D&amp; d);
template &lt;class D, class Policies&gt;
<a href=
"object.html#object-spec">object</a> make_setter(D&amp; d, Policies const&amp; policies);
template &lt;class D&gt;
<a href="object.html#object-spec">object</a> make_setter(D* p);
template &lt;class D, class Policies&gt;
<a href=
"object.html#object-spec">object</a> make_setter(D* p, Policies const&amp; policies);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>Policies</code> is a model of <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>Effects:</b> Creates a Python callable object which accepts one
argument, which is converted from Python to <code>D const&amp;</code>
and written into <code>d</code> or <code>*p</code>, respectively. If
<code>policies</code> is supplied, it will be applied to the function
as described <a href="CallPolicies.html">here</a>.</dt>
<dt><b>Returns:</b> An instance of <a href=
"object.html#object-spec">object</a> which holds the new Python
callable object.</dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<p>The code below uses make_getter and make_setter to expose a data
member as functions:</p>
<pre>
#include &lt;boost/python/data_members.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
struct X
{
X(int x) : y(x) {}
int y;
};
using namespace boost::python;
BOOST_PYTHON_MODULE_INIT(data_members_example)
{
class_&lt;X&gt;("X", init&lt;int&gt;())
.def("get", make_getter(&amp;X::y))
.def("set", make_setter(&amp;X::y))
;
}
</pre>
It can be used this way in Python:
<pre>
&gt;&gt;&gt; from data_members_example import *
&gt;&gt;&gt; x = X(1)
&gt;&gt;&gt; x.get()
1
&gt;&gt;&gt; x.set(2)
&gt;&gt;&gt; x.get()
2
</pre>
<p>
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
5 August, 2003 <!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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<title>Boost.Python - &lt;boost/python/def.hpp&gt;</title>
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<body>
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"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
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<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/def.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#def-spec">def</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code><a href="#def-spec">def</a>()</code> is the function which can
be used to expose C++ functions and callable objects as Python functions
in the current <code><a href="scope.html">scope</a></code>.</p>
<h2><a name="functions"></a>Functions</h2>
<a name="def-spec"></a>def
<pre>
template &lt;class F&gt;
void def(char const* name, F f);
template &lt;class Fn, class A1&gt;
void def(char const* name, Fn fn, A1 const&amp;);
template &lt;class Fn, class A1, class A2&gt;
void def(char const* name, Fn fn, A1 const&amp;, A2 const&amp;);
template &lt;class Fn, class A1, class A2, class A3&gt;
void def(char const* name, Fn fn, A1 const&amp;, A2 const&amp;, A3 const&amp;);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>.</dt>
<dd>
<ul>
<li>If <code>Fn</code> is [derived from] <code><a href=
"object.html#object-spec">object</a></code>, it will be added to
the current scope as a single overload. To be useful,
<code>fn</code> should be <a href=
"http://www.python.org/doc/current/lib/built-in-funcs.html#l2h-6">callable</a>.</li>
<li>
If <code>a1</code> is the result of an <a href=
"overloads.html#overload-dispatch-expression"><em>overload-dispatch-expression</em></a>,
only the second form is allowed and fn must be a pointer to
function or pointer to member function whose <a href=
"definitions.html#arity">arity</a> is the same as A1's <a href=
"overloads.html#overload-dispatch-expression"><em>maximum
arity</em></a>.
<dl>
<dt><b>Effects:</b> For each prefix <em>P</em> of
<code>Fn</code>'s sequence of argument types, beginning with
the one whose length is <code>A1</code>'s <a href=
"overloads.html#overload-dispatch-expression"><em>minimum
arity</em></a>, adds a
<code><em>name</em>(</code>...<code>)</code> function overload
to the <a href="scope.html">current scope</a>. Each overload
generated invokes <code>a1</code>'s call-expression with
<em>P</em>, using a copy of <code>a1</code>'s <a href=
"CallPolicies.html">call policies</a>. If the longest valid
prefix of <code>A1</code> contains <em>N</em> types and
<code>a1</code> holds <em>M</em> keywords, an initial sequence
of the keywords are used for all but the first
<em>N</em>&nbsp;-&nbsp;<em>M</em> arguments of each
overload.<br>
</dt>
</dl>
</li>
<li>Otherwise, fn must be a non-null function or member function
pointer, and a single function overload built around fn is added to
the <a href="scope.html">current scope</a>. If any of
<code>a1</code>-<code>a3</code> are supplied, they may be selected
in any order from the table below.</li>
</ul>
<table border="1" summary="def() optional arguments">
<tr>
<th>Memnonic Name</th>
<th>Requirements/Type properties</th>
<th>Effects</th>
</tr>
<tr>
<td>docstring</td>
<td>Any <a href="definitions.html#ntbs">ntbs</a>.</td>
<td>Value will be bound to the <code>__doc__</code> attribute of
the resulting method overload.</td>
</tr>
<tr>
<td>policies</td>
<td>A model of <a href="CallPolicies.html">CallPolicies</a></td>
<td>A copy will be used as the call policies of the resulting
method overload.</td>
</tr>
<tr>
<td>keywords</td>
<td>The result of a <a href=
"args.html#keyword-expression"><em>keyword-expression</em></a>
specifying no more arguments than the <a href=
"definitions.html#arity">arity</a> of <code>fn</code>.</td>
<td>A copy will be used as the call policies of the resulting
method overload.</td>
</tr>
</table>
</dd>
</dl>
<h2><a name="examples"></a>Example</h2>
<pre>
#include &lt;boost/python/def.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/args.hpp&gt;
using namespace boost::python;
char const* foo(int x, int y) { return "foo"; }
BOOST_PYTHON_MODULE(def_test)
{
def("foo", foo, args("x", "y"), "foo's docstring");
}
</pre>
<p>
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
7 March, 2003
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
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<title>Boost.Python - &lt;boost/python/def_visitor.hpp&gt;</title>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../boost.png" border="0"></a></h3>
<td valign="top">
<h1 align="center"><a href="../index.html"><font size="7">Boost.Python</font></a></h1>
<h2 align="center">Header &lt;boost/python/def_visitor.hpp&gt;</h2>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a>
<dt><a href="#classes">Classes</a>
<dd>
<dl class="page-index">
<dt><a href="#def_visitor-spec">Class <code>def_visitor</code></a>
<dd> <a href="#def_visitor-synopsis">Class <code>def_visitor</code>
synopsis</a></dd>
<dd> <a href="#def_visitor-requirements">Class <code>def_visitor</code>
requirements</a></dd>
</dl>
<dt><a href="#examples">Example</a>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/def_visitor.hpp&gt;</code> provides a generic visitation
interface through which the <a href="class.html">class_</a> <b>def</b> member
functionality can be extended non-intrusively to avoid cluttering the <a href="class.html">class_</a>
interface. It declares the <code>def_visitor&lt;T&gt; </code>class template,
which is parameterized on the derived type <tt>DerivedVisitor</tt>, which provides
the actual <b>def</b> functionality through its <b>visit</b> member functions.
<h2><a name="classes"></a>Classes</h2>
<h3><a name="def_visitor-spec"></a>Class template <code>def_visitor&lt;DerivedVisitor&gt;</code></h3>
<p>The class def_visitor is a base class paramaterized by its derived class. The
def_visitor class is a protocol class. Its derived class, DerivedVisitor, is
expected to have a member function visit. The def_visitor class is never instantiated
directly. Instead, an instance of its subclass, DerivedVisitor,&nbsp; is passed
on as an argument to the <a href="class.html">class_</a> def member function.
<h4>
<a name="def_visitor-synopsis" id="def_visitor-synopsis"></a>Class <code>def_visitor </code>synopsis</h4>
<pre>namespace boost { namespace python {
template &lt;class DerivedVisitor&gt;
class def_visitor {};
}</pre>
<h3><a name="def_visitor-requirements"></a><code>def_visitor </code>requirements</h3>
<p>The <span class="pre">client supplied class </span><span class="pre"></span><tt class="literal"><span class="pre">DerivedVisitor</span></tt>
template parameter is expected to:
<ul>
<li>be privately derived from def_visitor</li>
<li>grant friend access to class def_visitor_access</li>
<li>define either or both visit member functions listed in the table below:</li>
</ul>
<table border class="table">
<tr>
<td width="181" nowrap><b>Expression</b></td>
<td width="85"><b>Return Type</b></td>
<td width="330"><b>Requirements</b></td>
<td width="259"><b>Effects</b></td>
</tr>
<tr>
<td nowrap>visitor.visit(cls)</td>
<td>void</td>
<td>cls is an instance of a <a href="class.html">class_</a>&nbsp; being wrapped
to Python. visitor is a def_visitor derived class.</td>
<td>A call to cls.def(visitor) forwards to this member function.</td>
</tr>
<tr>
<td nowrap>visitor.visit(cls, name, options)</td>
<td>void</td>
<td>cls is a class_ instance, name is a C string. visitor is a def_visitor
derived class. options is a context specific optional argument.</td>
<td>A call to cls.def(name, visitor) or cls.def(name, visitor, options) forwards
to this member function. </td>
</tr>
</table>
<h2><a name="examples"></a>Example</h2>
<pre>class X {/*...*/};<br>
class my_def_visitor : boost::python::def_visitor&lt;my_def_visitor&gt;
{
friend class def_visitor_access;
template &lt;class classT&gt;
void visit(classT&amp; c) const
{
c
.def(&quot;foo&quot;, &amp;my_def_visitor::foo)
.def(&quot;bar&quot;, &amp;my_def_visitor::bar)
;
}
static void foo(X&amp; self);
static void bar(X&amp; self);
};
BOOST_PYTHON_MODULE(my_ext)
{
class_&lt;X&gt;(&quot;X&quot;)
.def(my_def_visitor())
;
}
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->27 August, 2003<!--webbot bot="Timestamp" endspan i-checksum="34484" -->
</p>
<p><i>&copy; Copyright Joel de Guzman 2003. </i>

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<tr>
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<td valign="top">
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<h2 align="center">Header
&lt;boost/python/default_call_policies.hpp&gt;</h2>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#classes">Classes</a>
<dd>
<dl class="page-index">
<dt><a href="#default_call_policies-spec">Class
<code>default_call_policies</code></a>
<dd>
<dl class="page-index">
<dt><a href="#default_call_policies-spec-synopsis">Class
<code>default_call_policies</code> synopsis</a>
<dt><a href="#default_call_policies-spec-statics">Class
<code>default_call_policies</code> static functions</a>
</dl>
<dt><a href="#default_result_converter-spec">Class
<code>default_result_converter</code></a>
<dd>
<dl class="page-index">
<dt><a href="#default_result_converter-spec-synopsis">Class
<code>default_result_converter</code> synopsis</a>
<dt><a href="#default_result_converter-spec-metafunctions">Class
<code>default_result_converter</code> metafunctions</a>
</dl>
</dl>
<dt><a href="#examples">Example</a>
</dl>
<hr>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="default_call_policies-spec"></a>Class
<code>default_call_policies</code></h3>
<p><code>default_call_policies</code> is a model of <a href=
"CallPolicies.html">CallPolicies</a> with no <code>precall</code> or
<code>postcall</code> behavior and a <code>result_converter</code> which
handles by-value returns. Wrapped C++ functions and member functions use
<code>default_call_policies</code> unless otherwise specified. You may find
it convenient to derive new models of <a href=
"CallPolicies.html">CallPolicies</a> from
<code>default_call_policies</code>.
<h4><a name="default_call_policies-spec-synopsis"></a>Class
<code>default_call_policies</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
struct default_call_policies
{
static bool precall(PyObject*);
static PyObject* postcall(PyObject*, PyObject* result);
typedef <a href=
"#default_result_converter-spec">default_result_converter</a> result_converter;
};
}}
</pre>
<h4><a name="default_call_policies-spec-statics"></a>Class
<code>default_call_policies</code> static functions</h4>
<pre>
bool precall(PyObject*);
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>true</code>
<dt><b>Throws:</b> nothing
</dl>
<pre>
PyObject* postcall(PyObject*, PyObject* result);
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>result</code>
<dt><b>Throws:</b> nothing
</dl>
<h3><a name="default_result_converter-spec"></a>Class
<code>default_result_converter</code></h3>
<p><code>default_result_converter</code> is a model of <a href=
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a> which can be
used to wrap C++ functions returning non-pointer types, <code>char
const*</code>, and <code>PyObject*</code>, by-value.
<h4><a name="default_result_converter-spec-synopsis"></a>Class
<code>default_result_converter</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
struct default_result_converter
{
template &lt;class T&gt; struct apply;
};
}}
</pre>
<h4><a name="default_result_converter-spec-metafunctions"></a>Class
<code>default_result_converter</code> metafunctions</h4>
<pre>
template &lt;class T&gt; struct apply
</pre>
<dl class="metafunction-semantics">
<dt><b>Requires:</b> <code>T</code> is not a reference type. If
<code>T</code> is a pointer type, <code>T</code> is <code>const
char*</code> or <code>PyObject*</code>.
<dt><b>Returns:</b> <code>typedef <a href=
"to_python_value.html#to_python_value-spec">to_python_value</a>&lt;T
const&amp;&gt; type;</code>
</dl>
<h2><a name="examples"></a>Example</h2>
<p>This example comes from the Boost.Python implementation itself. Because
the <a href=
"return_value_policy.html#return_value_policy-spec">return_value_policy</a>
class template does not implement <code>precall</code> or
<code>postcall</code> behavior, its default base class is
<code>default_call_policies</code>:
<pre>
template &lt;class Handler, class Base = default_call_policies&gt;
struct return_value_policy : Base
{
typedef Handler result_converter;
};
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. </i>

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<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - Definitions</title>
</head>
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<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
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<tr>
<td valign="top" width="300">
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</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Definitions</h2>
</td>
</tr>
</table>
<hr>
<dl class="definitions">
<dt><b><a name="arity">arity</a>:</b> The number of arguments accepted
by a function or member function. Unless otherwise specified, the
hidden "<code>this</code>" argument to member functions is not counted
when specifying arity</dt>
<dd><br>
</dd>
<dt><b><a name="ntbs">ntbs</a>:</b> Null-Terminated Byte String, or
`C'-string. C++ string literals are <strong>ntbs</strong>es. An
<strong>ntbs</strong> must never be null.</dt>
<dd><br>
</dd>
<dt><b><a name="raise">raise</a>:</b> Exceptions in Python are
"raised", not "thrown", as they are in C++. When this documentation
says that some Python exception is "raised" in the context of C++ code,
it means that the corresponding Python exception is set via the <a
href=
"http://www.python.org/doc/current/api/exceptionHandling.html">Python/'C'
API</a>, and <code><a href=
"errors.html#throw_error_already_set-spec">throw_error_already_set</a>()</code>
is called.</dt>
<dd><br>
</dd>
<dt><b><a name="POD">POD</a>:</b> A technical term from the C++
standard. Short for "Plain Ol'Data": A POD-struct is an aggregate class
that has no non-static data members of type pointer to member,
non-POD-struct, non-POD-union (or array of such types) or reference,
and has no user-defined copy assign- ment operator and no user-defined
destructor. Similarly, a POD-union is an aggregate union that has no
non-static data members of type pointer to member, non-POD-struct,
non-POD-union (or array of such types) or reference, and has no
user-defined copy assignment operator and no user-defined destructor. A
POD class is a class that is either a POD-struct or a POD-union. An
aggregate is an array or a class (clause 9) with no user-declared
constructors (12.1), no private or protected non-static data members
(clause 11), no base classes (clause 10), and no virtual functions
(10.3).</dt>
<dd><br>
</dd>
<dt><b><a name="ODR">ODR</a>:</b> The &quot;One Definition
Rule&quot;, which says that any entity in a C++ program must have the same definition in all translation units (object files) which make up a program.
</dt>
<dd><br>
</dd>
</dl>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
</html>

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<html>
<head>
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"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/dict.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/dict.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#dict-spec">Class <code>dict</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#dict-spec-synopsis">Class <code>dict</code>
synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> for the Python
<a href=
"http://www.python.org/dev/doc/devel/lib/typesmapping.html">dict</a>
type.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="dict-spec"></a>Class <code>dict</code></h3>
<p>Exposes the <a href=
"http://www.python.org/dev/doc/devel/lib/typesmapping.html">mapping
protocol</a> of Python's built-in <code>dict</code> type. The semantics
of the constructors and member functions defined below can be fully
understood by reading the <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> concept
definition. Since <code>dict</code> is publicly derived from <code><a
href="object.html#object-spec">object</a></code>, the public object
interface applies to <code>dict</code> instances as well.</p>
<h4><a name="dict-spec-synopsis"></a>Class <code>dict</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
class dict : public object
{
dict();
template&lt; class T &gt;
dict(T const &amp; data);
// modifiers
void clear();
dict copy();
template &lt;class T1, class T2&gt;
tuple popitem();
template &lt;class T&gt;
object setdefault(T const &amp;k);
template &lt;class T1, class T2&gt;
object setdefault(T1 const &amp; k, T2 const &amp; d);
void update(object_cref E);
template&lt; class T &gt;
void update(T const &amp; E);
// observers
list values() const;
object get(object_cref k) const;
template&lt;class T&gt;
object get(T const &amp; k) const;
object get(object_cref k, object_cref d) const;
object get(T1 const &amp; k, T2 const &amp; d) const;
bool has_key(object_cref k) const;
template&lt; class T &gt;
bool has_key(T const &amp; k) const;
list items() const;
object iteritems() const;
object iterkeys() const;
object itervalues() const;
list keys() const;
};
}}
</pre>
<h2><a name="examples"></a>Example</h2>
<pre>
using namespace boost::python;
dict swap_object_dict(object target, dict d)
{
dict result = extract&lt;dict&gt;(target.attr("__dict__"));
target.attr("__dict__") = d;
return result;
}
</pre>
<p>Revised 30 September, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
</html>

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<html>
<head>
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"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/enum.hpp&gt;</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/enum.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#enum_-spec">Class template
<code>enum_</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#enum_-spec-synopsis">Class template <code>enum_</code>
synopsis</a></dt>
<dt><a href="#enum_-spec-ctors">Class template <code>enum_</code>
constructors</a></dt>
<dt><a href="#enum_-spec-modifiers">Class template <code>enum_</code>
modifier functions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/enum.hpp&gt;</code> defines the
interface through which users expose their C++ enumeration types
to Python. It declares the
<code>enum_</code> class template, which is parameterized on the
enumeration type being exposed. </p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="enum_-spec"></a>Class template
<code>enum_&lt;T&gt;</code></h3>
<p>Creates a Python class derived from Python's <code>int</code>
type which is associated with the C++ type passed as its first
parameter.
<h4><a name="enum_-spec-synopsis"></a>Class template <code>enum_</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class T&gt;
class enum_ : public <a href="object.html#object-spec">object</a>
{
enum_(char const* name);
enum_&lt;T&gt;&amp; value(char const* name, T);
enum_&lt;T&gt;&amp; export_values();
};
}}
</pre>
<h4><a name="enum_-spec-ctors"></a>Class template <code>enum_</code>
constructors</h4>
<pre>
enum_(char const* name);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>.
<dt><b>Effects:</b> Constructs an <code>enum_</code> object
holding a Python extension type derived from <code>int</code>
which is named <code>name</code>. The
<code>name</code>d attribute of the <a href=
"scope.html#introduction">current scope</a> is bound to the new
extension type.</dt>
</dl>
<h4><a name="enum_-spec-modifiers"></a>Class template
<code>enum_</code> modifier functions</h4>
<pre>
inline enum_&lt;T&gt;&amp; value(char const* name, T x);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a
href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>.
<dt><b>Effects:</b> adds an instance of the wrapped enumeration
type with value <code>x</code> to the type's dictionary as the
<code>name</code>d attribute</dt>.
<dt><b>Returns:</b> <code>*this</code></dt>
</dl>
<pre>
inline enum_&lt;T&gt;&amp; export_values();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> sets attributes in the current <a
href="scope.html#scope-spec"><code>scope</code></a> with the
same names and values as all enumeration values exposed so far
by calling <code>value()</code></dt>.
<dt><b>Returns:</b> <code>*this</code></dt>
</dl>
<h2><a name="examples"></a>Example(s)</h2>
<p>C++ module definition
<pre>
#include &lt;boost/python/enum.hpp&gt;
#include &lt;boost/python/def.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
using namespace boost::python;
enum color { red = 1, green = 2, blue = 4 };
color identity_(color x) { return x; }
BOOST_PYTHON_MODULE(enums)
{
enum_&lt;color&gt;(&quot;color&quot;)
.value(&quot;red&quot;, red)
.value(&quot;green&quot;, green)
.export_values()
.value(&quot;blue&quot;, blue)
;
def(&quot;identity&quot;, identity_);
}
</pre>
<p>Interactive Python:
<pre>
&gt;&gt;&gt; from enums import *
&gt;&gt;&gt; identity(red)
enums.color.red
&gt;&gt;&gt; identity(color.red)
enums.color.red
&gt;&gt;&gt; identity(green)
enums.color.green
&gt;&gt;&gt; identity(color.green)
enums.color.green
&gt;&gt;&gt; identity(blue)
Traceback (most recent call last):
File &quot;&lt;stdin&gt;&quot;, line 1, in ?
NameError: name blue' is not defined
&gt;&gt;&gt; identity(color.blue)
enums.color.blue
&gt;&gt;&gt; identity(color(1))
enums.color.red
&gt;&gt;&gt; identity(color(2))
enums.color.green
&gt;&gt;&gt; identity(color(3))
enums.color(3)
&gt;&gt;&gt; identity(color(4))
enums.color.blue
&gt;&gt;&gt; identity(1)
Traceback (most recent call last):
File &quot;&lt;stdin&gt;&quot;, line 1, in ?
TypeError: bad argument type for built-in operation
</pre>
<hr>
Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 December, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
</html>

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<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/errors.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/errors.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#error_already_set-spec">Class
<code>error_already_set</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#error_already_set-spec-synopsis">Class
<code>error_already_set</code> synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#handle_exception-spec">handle_exception</a></dt>
<dt><a href="#expect_non_null-spec">expect_non_null</a></dt>
<dt><a href=
"#throw_error_already_set-spec">throw_error_already_set</a></dt>
</dl>
</dd>
<dt><a href="#examples">Examples</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/errors.hpp&gt;</code> provides types and
functions for managing and translating between Python and C++ exceptions.
This is relatively low-level functionality that is mostly used internally
by Boost.Python. Users should seldom need it.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="error_already_set-spec"></a>Class
<code>error_already_set</code></h3>
<p><code>error_already_set</code> is an exception type which can be
thrown to indicate that a Python error has occurred. If thrown, the
precondition is that <a href=
"http://www.python.org/doc/2.2/api/exceptionHandling.html#l2h-71">PyErr_Occurred()</a>
returns a value convertible to <code>true</code>. Portable code shouldn't
throw this exception type directly, but should instead use <code><a href=
"#throw_error_already_set-spec">throw_error_already_set</a>()</code>,
below.</p>
<h4><a name="error_already_set-spec-synopsis"></a>Class error_already_set
synopsis</h4>
<pre>
namespace boost { namespace python
{
class error_already_set {};
}}
</pre>
<h2><a name="functions"></a>Functions</h2>
<pre>
<a name=
"handle_exception-spec">template &lt;class T&gt; bool handle_exception</a>(T f) throw();
void handle_exception() throw();
</pre>
<dl class="handle_exception-semantics">
<dt><b>Requires:</b> The first form requires that the expression
<code><a href=
"../../../../doc/html/functionN.html">function0</a>&lt;void&gt;(f)</code>
is valid. The second form requires that a C++ exception is currently
being handled (see section 15.1 in the C++ standard).</dt>
<dt><b>Effects:</b> The first form calls <code>f()</code> inside a
<code>try</code> block which first attempts to use all registered <a
href="exception_translator.html">exception translators</a>. If none of
those translates the exception, the <code>catch</code> clauses then set
an appropriate Python exception for the C++ exception caught, returning
<code>true</code> if an exception was thrown, <code>false</code>
otherwise. The second form passes a function which rethrows the
exception currently being handled to the first form.</dt>
<dt><b>Postconditions:</b> No exception is being handled</dt>
<dt><b>Throws:</b> nothing</dt>
<dt><b>Rationale:</b> At inter-language boundaries it is important to
ensure that no C++ exceptions escape, since the calling language
usually doesn't have the equipment necessary to properly unwind the
stack. Use <code>handle_exception</code> to manage exception
translation whenever your C++ code is called directly from the Python
API. This is done for you automatically by the usual function wrapping
facilities: <code><a href=
"make_function.html#make_function-spec">make_function</a>()</code>,
<code><a href=
"make_function.html#make_constructor-spec">make_constructor</a>()</code>,
<code><a href="def.html#class_-spec-modifiers">def</a>()</code> and <code><a href=
"class.html#def-spec">class_::def</a>()</code>. The second form can be
more convenient to use (see the <a href="#examples">example</a> below),
but various compilers have problems when exceptions are rethrown from
within an enclosing <code>try</code> block.</dt>
</dl>
<pre>
<a name=
"expect_non_null-spec">template &lt;class T&gt; T* expect_non_null(T* x);</a>
</pre>
<dl class="expect_non_null-semantics">
<dt><b>Returns:</b> <code>x</code></dt>
<dt><b>Throws:</b> <code><a href=
"#error_already_set-spec">error_already_set</a>()</code> iff <code>x ==
0</code>.</dt>
<dt><b>Rationale:</b> Simplifies error-handling when calling functions
in the <a href="http://www.python.org/doc/2.2/api/api.html">Python/C
API</a> which return 0 on error.</dt>
</dl>
<pre>
<a name="throw_error_already_set-spec">void throw_error_already_set();</a>
</pre>
<dl class="throw_error_already_set-semantics">
<dt><b>Effects:</b> <code>throw&nbsp;<a href=
"#error_already_set-spec">error_already_set</a>();</code></dt>
</dl>
<dl>
<dt><b>Rationale:</b> Many platforms and compilers are not able to
consistently catch exceptions thrown across shared library boundaries.
Using this function from the Boost.Python library ensures that the
appropriate <code>catch</code> block in <code><a href=
"#handle_exception-spec">handle_exception</a>()</code> can catch the
exception.</dt>
</dl>
<h2><a name="examples"></a>Examples</h2>
<pre>
#include &lt;string&gt;
#include &lt;boost/python/errors.hpp&gt;
#include &lt;boost/python/object.hpp&gt;
#include &lt;boost/python/handle.hpp&gt;
// Returns a std::string which has the same value as obj's "__name__"
// attribute.
std::string get_name(boost::python::object obj)
{
// throws if there's no __name__ attribute
PyObject* p = boost::python::expect_non_null(
PyObject_GetAttrString(obj.ptr(), "__name__"));
char const* s = PyString_AsString(p);
if (s != 0)
Py_DECREF(p);
// throws if it's not a Python string
std::string result(
boost::python::expect_non_null(
PyString_AsString(p)));
Py_DECREF(p); // Done with p
return result;
}
//
// Demonstrate form 1 of handle_exception
//
// Place into result a Python Int object whose value is 1 if a and b have
// identical "__name__" attributes, 0 otherwise.
void same_name_impl(PyObject*&amp; result, boost::python::object a, boost::python::object b)
{
result = PyInt_FromLong(
get_name(a) == get_name(a2));
}
object borrowed_object(PyObject* p)
{
return boost::python::object(
boost::python::handle&lt;&gt;(
boost::python::borrowed(a1)));
}
// This is an example Python 'C' API interface function
extern "C" PyObject*
same_name(PyObject* args, PyObject* keywords)
{
PyObject* a1;
PyObject* a2;
PyObject* result = 0;
if (!PyArg_ParseTuple(args, const_cast&lt;char*&gt;("OO"), &amp;a1, &amp;a2))
return 0;
// Use boost::bind to make an object compatible with
// boost::Function0&lt;void&gt;
if (boost::python::handle_exception(
boost::bind&lt;void&gt;(same_name_impl, boost::ref(result), borrowed_object(a1), borrowed_object(a2))))
{
// an exception was thrown; the Python error was set by
// handle_exception()
return 0;
}
return result;
}
//
// Demonstrate form 2 of handle_exception. Not well-supported by all
// compilers.
//
extern "C" PyObject*
same_name2(PyObject* args, PyObject* keywords)
{
PyObject* a1;
PyObject* a2;
PyObject* result = 0;
if (!PyArg_ParseTuple(args, const_cast&lt;char*&gt;("OO"), &amp;a1, &amp;a2))
return 0;
try {
return PyInt_FromLong(
get_name(borrowed_object(a1)) == get_name(borrowed_object(a2)));
}
catch(...)
{
// If an exception was thrown, translate it to Python
boost::python::handle_exception();
return 0;
}
}
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
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<html>
<head>
<meta name="generator" content=
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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python -
&lt;boost/python/exception_translator.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header
&lt;boost/python/exception_translator.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href=
"#register_exception_translator-spec">register_exception_translator</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>As described <a href="errors.html#handle_exception-spec">here</a>, it
is important to make sure that exceptions thrown by C++ code do not pass
into the Python interpreter core. By default, Boost.Python translates all
C++ exceptions thrown by wrapped functions and module init functions into
Python, but the default translators are extremely limited: most C++
exceptions will appear in Python as a <a href=
"http://www.python.org/doc/current/lib/module-exceptions.html">RuntimeError</a>
exception whose representation is
<code>'Unidentifiable&nbsp;C++&nbsp;Exception'</code>. To produce better
error messages, users can register additional exception translators as
described below.</p>
<h2><a name="functions"></a>Functions</h2>
<h3><code><a name="register_exception_translator-spec">register_exception_translator</a></code></h3>
<pre>
<a name="register_exception_translator-spec">template&lt;class ExceptionType, class Translate&gt;</a>
void register_exception_translator(Translate translate);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b></dt>
<dd>
<code>Translate</code> is <a href=
"../../../utility/CopyConstructible.html">Copyconstructible</a>, and
the following code must be well-formed:
<pre>
void f(ExceptionType x) { translate(x); }
</pre>
The expression <code>translate(x)</code> must either throw a C++
exception, or a subsequent call to <code><a href=
"http://www.python.org/doc/current/api/exceptionHandling.html">PyErr_Occurred</a>()</code>
must return 1.
</dd>
<p>
<dt><b>Effects:</b> Adds a copy of <code>translate</code> to the sequence of
exception translators tried when Boost.Python catches an exception that
is about to pass into Python's core interpreter. The new translator
will get "first shot" at translating all exceptions matching the catch
clause shown above. Any subsequently-registered translators will be
allowed to translate the exception earlier. A translator which cannot
translate a given C++ exception can re-throw it, and it will be handled
by a translator which was registered earlier (or by the default
translator).</dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/def.hpp&gt;
#include &lt;boost/python/exception_translator.hpp&gt;
#include &lt;exception&gt;
struct my_exception : std::exception
{
char const* what() throw() { return "One of my exceptions"; }
};
void translate(my_exception const&amp; e)
{
// Use the Python 'C' API to set up an exception object
PyErr_SetString(PyExc_RuntimeError, e.what());
}
void something_which_throws()
{
...
throw my_exception();
...
}
BOOST_PYTHON_MODULE(exception_translator_ext)
{
using namespace boost::python;
register_exception_translator&lt;my_exception&gt;(&amp;translate);
def("something_which_throws", something_which_throws);
}
</pre>
<br>
<br>
<hr>
<p>Revised 03 October, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/exec.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/exec.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#exec-spec"><code>exec</code></a></dt>
<dt><a href="#exec_file-spec"><code>exec_file</code></a></dt>
</dl>
</dd>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a mechanism for embedding the python interpreter into C++ code.</p>
<h2><a name="functions"></a>Functions</h2>
<h3><a name="exec-spec"></a><code>exec</code></h3>
<pre>
object exec(str code,
object globals = object(),
object locals = object());
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
Execute Python source code from <code>code</code> in the context
specified by the dictionaries <code>globals</code> and <code>locals</code>.
</dt>
<dt><b>Returns:</b>
An instance of <a href="object.html#object-spec">object</a>
which holds the result of executing the code.
</dt>
</dl>
<h3><a name="exec_file-spec"></a><code>exec_file</code></h3>
<pre>
object exec_file(str filename,
object globals = object(),
object locals = object());
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
Execute Python source code from the file named by <code>filename</code>
in the context specified by the dictionaries <code>globals</code> and
<code>locals</code>.
</dt>
<dt><b>Returns:</b>
An instance of <a href="object.html#object-spec">object</a>
which holds the result of executing the code.
</dt>
</dl>
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<title>Boost.Python - &lt;boost/python/extract.hpp&gt;</title>
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"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/extract.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#extract-spec">Class <code>extract</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#extract-spec-synopsis">Class <code>extract</code>
synopsis</a></dt>
<dt><a href="#extract-spec-ctors">Class <code>extract</code>
constructors and destructor</a></dt>
<dt><a href="#extract-spec-observers">Class
<code>extract</code> observer functions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a mechanism for extracting C++ object values from
generalized Python objects. Note that
<code>extract&lt;</code>...<code>&gt;</code> can also be used to
&quot;downcast&quot; an <a
href="object.html#object-spec">object</a> to some specific <a
href="ObjectWrapper.html#ObjectWrapper-concept">ObjectWrapper</a>. Because
invoking a mutable python type with an argument of the same type
(e.g. <code>list([1,2])</code> typically makes a <em>copy</em> of
the argument object, this may be the only way to access the <a
href="ObjectWrapper.html#ObjectWrapper-concept">ObjectWrapper</a>'s
interface on the original object.
<h2><a name="classes"></a>Classes</h2>
<h3><a name="extract-spec"></a>Class template <code>extract</code></h3>
<p><code>extract&lt;T&gt;</code> can be used to extract a value of
an arbitrary C++ type from an instance of <code><a
href="object.html#object-spec">object</a></code>. Two usages are supported:
<ol>
<li><b><code>extract&lt;T&gt;(o)</code></b> is a temporary object
which is implicitly convertible to <code>T</code> (explicit conversion
is also available through the object's function-call
operator). However, if no conversion is available which can convert
<code>o</code> to an object of type <code>T</code>, a Python
<code>TypeError</code> exception will be <a
href="definitions.html#raise">raised</a>.
<li><b><code>extract&lt;T&gt; x(o);</code></b> constructs an extractor
whose <code>check()</code> member function can be used to ask whether
a conversion is available without causing an exception to be thrown.
</ol>
<h4><a name="extract-spec-synopsis"></a>Class template <code>extract</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class T&gt;
struct extract
{
typedef <i>unspecified</i> result_type;
extract(PyObject*);
extract(object const&amp;);
result_type operator()() const;
operator result_type() const;
bool check() const;
};
}}
</pre>
<h4><a name="extract-spec-ctors"></a>Class <code>extract</code>
constructors and destructor</h4>
<pre>
extract(PyObject* p);
extract(object const&amp;);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> The first form requires that <code>p</code> is non-null.</dt>
<dt><b>Effects:</b>Stores a pointer to the Python object managed
by its constructor argument. In particular, the reference
count of the object is not incremented. The onus is on the user
to be sure it is not destroyed before the extractor's conversion
function is called.</dt>
</dl>
<h4><a name="extract-spec-observers"></a>Class <code>extract</code>
observer functions</h4>
<pre>
result_type operator()() const;
operator result_type() const;
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> Converts the stored pointer to
<code>result_type</code>, which is either <code>T</code> or
<code>T const&amp;</code>.
</dt>
<dt><b>Returns:</b> An object of <code>result_type</code>
corresponding to the one referenced by the stored pointer.</dt>
<dt><b>Throws:</b> <code><a
href="errors.html#error_already_set-spec">error_already_set</a></code>
and sets a <code>TypeError</code> if no such conversion is
available. May also emit other unspecified exceptions thrown by
the converter which is actually used.</dt>
</dl>
<pre>
bool check() const;
</pre>
<dl class="function-semantics">
<dt><b>Postconditions:</b> None. In particular, note that a
return value of <code>true</code> does not preclude an exception
being thrown from <code>operator result_type()</code> or
<code>operator()()</code>.</dt>
<dt><b>Returns:</b> <code>false</code> <i>only</i> if no conversion from the
stored pointer to <code>T</code> is available.</dt>
</dl>
<h2><a name="examples"></a>Examples</h2>
<pre>
#include &lt;cstdio&gt;
using namespace boost::python;
int Print(str s)
{
// extract a C string from the Python string object
char const* c_str = extract&lt;char const*&gt;(s);
// Print it using printf
std::printf(&quot;%s\n&quot;, c_str);
// Get the Python string's length and convert it to an int
return extract&lt;int&gt;(s.attr(&quot;__len__&quot;)())
}
</pre>
The following example shows how extract can be used along with
<code><a
href="class.html#class_-spec">class_</a>&lt;</code>...<code>&gt;</code>
to create and access an instance of a wrapped C++ class.
<pre>
struct X
{
X(int x) : v(x) {}
int value() { return v; }
private:
int v;
};
BOOST_PYTHON_MODULE(extract_ext)
{
object x_class(
class_&lt;X&gt;(&quot;X&quot;, init&lt;int&gt;())
.def(&quot;value&quot;, &amp;X::value))
;
// Instantiate an X object through the Python interface.
// Its lifetime is now managed by x_obj.
object x_obj = x_class(3);
// Get a reference to the C++ object out of the Python object
X&amp; x = extract&lt;X&amp;&gt;(x_obj);
assert(x.value() == 3);
}
</pre>
<p>Revised 15 November, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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<meta http-equiv="Content-Type" content="text/html; charset=us-ascii">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - FAQ</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Frequently Asked Questions (FAQs)</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#funcptr">How can I wrap a function which takes a
function pointer as an argument?</a><dd>
<dt><a href="#dangling">I'm getting the "attempt to return dangling
reference" error. What am I doing wrong?</a></dt>
<dt><a href="#question1">Is return_internal_reference
efficient?</a></dt>
<dt><a href="#question2">How can I wrap functions which take C++
containers as arguments?</a></dt>
<dt><a href="#c1204">fatal error C1204:Compiler limit:internal
structure overflow</a></dt>
<dt><a href="#debugging">How do I debug my Python extensions?</a></dt>
<dt><a href="#imul">Why doesn't my <code>*=</code> operator
work?</a></dt>
<dt><a href="#macosx">Does Boost.Python work with Mac OS X?</a></dt>
<dt><a href="#xref">How can I find the existing PyObject that holds a
C++ object?</a></dt>
<dt><a href="#ownership">How can I wrap a function which needs to take
ownership of a raw pointer?</a></dt>
<dt><a href="#slow_compilation">Compilation takes too much time and eats too much memory!
What can I do to make it faster?</a></dt>
<dt><a href="#packages">How do I create sub-packages using Boost.Python?</a></dt>
<dt><a href="#msvcthrowbug"
>error C2064: term does not evaluate to a function taking 2 arguments</a>
</dt>
<dt><a href="#voidptr">How do I handle <tt>void *</tt> conversion?</a></dt>
<dt><a href="#custom_string"
>How can I automatically convert my custom string type to
and from a Python string?</a></dt>
<dt><a href="#topythonconversionfailed">Why is my automatic to-python conversion not being
found?</a></dt>
<dt><a href="#threadsupport">Is Boost.Python thread-aware/compatible with multiple interpreters?</a></dt>
</dl>
<hr>
<h2><a name="funcptr">How can I wrap a function which takes a
function pointer as an argument?</a></h2>
If what you're trying to do is something like this:
<pre>
typedef boost::function&lt;void (string s) &gt; funcptr;
void foo(funcptr fp)
{
fp(&quot;hello,world!&quot;);
}
BOOST_PYTHON_MODULE(test)
{
def(&quot;foo&quot;,foo) ;
}
</pre>
And then:
<pre>
&gt;&gt;&gt; def hello(s):
... print s
...
&gt;&gt;&gt; foo(hello)
hello, world!
</pre>
The short answer is: &quot;you can't&quot;. This is not a
Boost.Python limitation so much as a limitation of C++. The
problem is that a Python function is actually data, and the only
way of associating data with a C++ function pointer is to store it
in a static variable of the function. The problem with that is
that you can only associate one piece of data with every C++
function, and we have no way of compiling a new C++ function
on-the-fly for every Python function you decide to pass
to <code>foo</code>. In other words, this could work if the C++
function is always going to invoke the <em>same</em> Python
function, but you probably don't want that.
<p>If you have the luxury of changing the C++ code you're
wrapping, pass it an <code>object</code> instead and call that;
the overloaded function call operator will invoke the Python
function you pass it behind the <code>object</code>.
<p>For more perspective on the issue, see <a
href="http://aspn.activestate.com/ASPN/Mail/Message/1554837">this
posting</a>.
<hr>
<h2><a name="dangling">I'm getting the "attempt to return dangling
reference" error. What am I doing wrong?</a></h2>
That exception is protecting you from causing a nasty crash. It usually
happens in response to some code like this:
<pre>
period const&amp; get_floating_frequency() const
{
return boost::python::call_method&lt;period const&amp;&gt;(
m_self,"get_floating_frequency");
}
</pre>
And you get:
<pre>
ReferenceError: Attempt to return dangling reference to object of type:
class period
</pre>
<p>In this case, the Python method invoked by <code>call_method</code>
constructs a new Python object. You're trying to return a reference to a
C++ object (an instance of <code>class period</code>) contained within
and owned by that Python object. Because the called method handed back a
brand new object, the only reference to it is held for the duration of
<code>get_floating_frequency()</code> above. When the function returns,
the Python object will be destroyed, destroying the instance of
<code>class period</code>, and leaving the returned reference dangling.
That's already undefined behavior, and if you try to do anything with
that reference you're likely to cause a crash. Boost.Python detects this
situation at runtime and helpfully throws an exception instead of letting
you do that.<br>
&nbsp;</p>
<hr>
<h2><a name="question1"></a>Is return_internal_reference efficient?</h2>
<blockquote>
<b>Q:</b> <i>I have an object composed of 12 doubles. A const&amp; to
this object is returned by a member function of another class. From the
viewpoint of using the returned object in Python I do not care if I get
a copy or a reference to the returned object. In Boost.Python Version 2
I have the choice of using copy_const_reference or
return_internal_reference. Are there considerations that would lead me
to prefer one over the other, such as size of generated code or memory
overhead?</i>
<p><b>A:</b> copy_const_reference will make an instance with storage
for one of your objects, size = base_size + 12 * sizeof(double).
return_internal_reference will make an instance with storage for a
pointer to one of your objects, size = base_size + sizeof(void*).
However, it will also create a weak reference object which goes in the
source object's weakreflist and a special callback object to manage the
lifetime of the internally-referenced object. My guess?
copy_const_reference is your friend here, resulting in less overall
memory use and less fragmentation, also probably fewer total
cycles.</p>
</blockquote>
<hr>
<h2><a name="question2"></a>How can I wrap functions which take C++
containers as arguments?</h2>
<p>Ralf W. Grosse-Kunstleve provides these notes:</p>
<ol>
<li>
Using the regular <code>class_&lt;&gt;</code> wrapper:
<pre>
class_&lt;std::vector&lt;double&gt; &gt;("std_vector_double")
.def(...)
...
;
</pre>
This can be moved to a template so that several types (double, int,
long, etc.) can be wrapped with the same code. This technique is used
in the file
<blockquote>
scitbx/include/scitbx/array_family/boost_python/flex_wrapper.h
</blockquote>
in the "scitbx" package. The file could easily be modified for
wrapping std::vector&lt;&gt; instantiations.
<p>This type of C++/Python binding is most suitable for containers
that may contain a large number of elements (&gt;10000).</p>
</li>
<li>
Using custom rvalue converters. Boost.Python "rvalue converters"
match function signatures such as:
<pre>
void foo(std::vector&lt;double&gt; const&amp; array); // pass by const-reference
void foo(std::vector&lt;double&gt; array); // pass by value
</pre>
Some custom rvalue converters are implemented in the file
<blockquote>
scitbx/include/scitbx/boost_python/container_conversions.h
</blockquote>
This code can be used to convert from C++ container types such as
std::vector&lt;&gt; or std::list&lt;&gt; to Python tuples and vice
versa. A few simple examples can be found in the file
<blockquote>
scitbx/array_family/boost_python/regression_test_module.cpp
</blockquote>
Automatic C++ container &lt;-&gt; Python tuple conversions are most
suitable for containers of moderate size. These converters generate
significantly less object code compared to alternative 1 above.
</li>
</ol>
A disadvantage of using alternative 2 is that operators such as
arithmetic +,-,*,/,% are not available. It would be useful to have custom
rvalue converters that convert to a "math_array" type instead of tuples.
This is currently not implemented but is possible within the framework of
Boost.Python V2 as it will be released in the next couple of weeks. [ed.:
this was posted on 2002/03/10]
<p>It would also be useful to also have "custom lvalue converters" such
as std::vector&lt;&gt; &lt;-&gt; Python list. These converters would
support the modification of the Python list from C++. For example:</p>
<p>C++:</p>
<pre>
void foo(std::vector&lt;double&gt;&amp; array)
{
for(std::size_t i=0;i&lt;array.size();i++) {
array[i] *= 2;
}
}
</pre>
Python:
<pre>
&gt;&gt;&gt; l = [1, 2, 3]
&gt;&gt;&gt; foo(l)
&gt;&gt;&gt; print l
[2, 4, 6]
</pre>
Custom lvalue converters require changes to the Boost.Python core library
and are currently not available.
<p>P.S.:</p>
<p>The "scitbx" files referenced above are available via anonymous
CVS:</p>
<pre>
cvs -d:pserver:anonymous@cvs.cctbx.sourceforge.net:/cvsroot/cctbx login
cvs -d:pserver:anonymous@cvs.cctbx.sourceforge.net:/cvsroot/cctbx co scitbx
</pre>
<hr>
<h2><a name="c1204"></a>fatal error C1204:Compiler limit:internal
structure overflow</h2>
<blockquote>
<b>Q:</b> <i>I get this error message when compiling a large source
file. What can I do?</i>
<p><b>A:</b> You have two choices:</p>
<ol>
<li>Upgrade your compiler (preferred)</li>
<li>
Break your source file up into multiple translation units.
<p><code><b>my_module.cpp</b></code>:</p>
<pre>
...
void more_of_my_module();
BOOST_PYTHON_MODULE(my_module)
{
def("foo", foo);
def("bar", bar);
...
more_of_my_module();
}
</pre>
<code><b>more_of_my_module.cpp</b></code>:
<pre>
void more_of_my_module()
{
def("baz", baz);
...
}
</pre>
If you find that a <code><a href=
"class.html#class_-spec">class_</a>&lt;...&gt;</code> declaration
can't fit in a single source file without triggering the error, you
can always pass a reference to the <code>class_</code> object to a
function in another source file, and call some of its member
functions (e.g. <code>.def(...)</code>) in the auxilliary source
file:
<p><code><b>more_of_my_class.cpp</b></code>:</p>
<pre>
void more_of_my_class(class&lt;my_class&gt;&amp; x)
{
x
.def("baz", baz)
.add_property("xx", &amp;my_class::get_xx, &amp;my_class::set_xx)
;
...
}
</pre>
</li>
</ol>
</blockquote>
<hr>
<h2><a name="debugging"></a>How do I debug my Python extensions?</h2>
<p>Greg Burley gives the following answer for Unix GCC users:</p>
<blockquote>
Once you have created a boost python extension for your c++ library or
class, you may need to debug the code. Afterall this is one of the
reasons for wrapping the library in python. An expected side-effect or
benefit of using BPL is that debugging should be isolated to the c++
library that is under test, given that python code is minimal and
boost::python either works or it doesn't. (ie. While errors can occur
when the wrapping method is invalid, most errors are caught by the
compiler ;-).
<p>The basic steps required to initiate a gdb session to debug a c++
library via python are shown here. Note, however that you should start
the gdb session in the directory that contains your BPL my_ext.so
module.</p>
<pre>
(gdb) target exec python
(gdb) run
&gt;&gt;&gt; from my_ext import *
&gt;&gt;&gt; [C-c]
(gdb) break MyClass::MyBuggyFunction
(gdb) cont
&gt;&gt;&gt; pyobj = MyClass()
&gt;&gt;&gt; pyobj.MyBuggyFunction()
Breakpoint 1, MyClass::MyBuggyFunction ...
Current language: auto; currently c++
(gdb) do debugging stuff
</pre>
</blockquote>
<p>Greg's approach works even better using Emacs' "<code>gdb</code>"
command, since it will show you each line of source as you step through
it.</p>
<p>On <b>Windows</b>, my favorite debugging solution is the debugger that
comes with Microsoft Visual C++ 7. This debugger seems to work with code
generated by all versions of Microsoft and Metrowerks toolsets; it's rock
solid and "just works" without requiring any special tricks from the
user.</p>
<p>Raoul Gough has provided the following for gdb on Windows:</p>
<blockquote>
<p>gdb support for Windows DLLs has improved lately, so it is
now possible to debug Python extensions using a few
tricks. Firstly, you will need an up-to-date gdb with support
for minimal symbol extraction from a DLL. Any gdb from version 6
onwards, or Cygwin gdb-20030214-1 and onwards should do. A
suitable release will have a section in the gdb.info file under
Configuration &ndash; Native &ndash; Cygwin Native &ndash;
Non-debug DLL symbols. Refer to that info section for more
details of the procedures outlined here.</p>
<p>Secondly, it seems necessary to set a breakpoint in the
Python interpreter, rather than using ^C to break execution. A
good place to set this breakpoint is PyOS_Readline, which will
stop execution immediately before reading each interactive
Python command. You have to let Python start once under the
debugger, so that it loads its own DLL, before you can set the
breakpoint:</p>
<p>
<pre>
$ gdb python
GNU gdb 2003-09-02-cvs (cygwin-special)
[...]
(gdb) run
Starting program: /cygdrive/c/Python22/python.exe
Python 2.2.2 (#37, Oct 14 2002, 17:02:34) [MSC 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
&gt;&gt;&gt; ^Z
Program exited normally.
(gdb) break *&amp;PyOS_Readline
Breakpoint 1 at 0x1e04eff0
(gdb) run
Starting program: /cygdrive/c/Python22/python.exe
Python 2.2.2 (#37, Oct 14 2002, 17:02:34) [MSC 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
Breakpoint 1, 0x1e04eff0 in python22!PyOS_Readline ()
from /cygdrive/c/WINNT/system32/python22.dll
(gdb) cont
Continuing.
&gt;&gt;&gt; from my_ext import *
Breakpoint 1, 0x1e04eff0 in python22!PyOS_Readline ()
from /cygdrive/c/WINNT/system32/python22.dll
(gdb) # my_ext now loaded (with any debugging symbols it contains)
</pre>
</blockquote>
<h3>Debugging extensions through Boost.Build</h3>
If you are launching your extension module tests with <a href=
"../../../../tools/build/v1/build_system.htm">Boost.Build</a> using the
<code>boost-python-runtest</code> rule, you can ask it to launch your
debugger for you by adding "--debugger=<i>debugger</i>" to your bjam
command-line:
<pre>
bjam -sTOOLS=vc7.1 "--debugger=devenv /debugexe" test
bjam -sTOOLS=gcc -sPYTHON_LAUNCH=gdb test
</pre>
It can also be extremely useful to add the <code>-d+2</code> option when
you run your test, because Boost.Build will then show you the exact
commands it uses to invoke it. This will invariably involve setting up
PYTHONPATH and other important environment variables such as
LD_LIBRARY_PATH which may be needed by your debugger in order to get
things to work right.
<hr>
<h2><a name="imul"></a>Why doesn't my <code>*=</code> operator work?</h2>
<blockquote>
<b>Q:</b> <i>I have exported my class to python, with many overloaded
operators. it works fine for me except the</i> <code>*=</code>
<i>operator. It always tells me "can't multiply sequence with non int
type". If I use</i> <code>p1.__imul__(p2)</code> <i>instead of</i>
<code>p1 *= p2</code><i>, it successfully executes my code. What's
wrong with me?</i>
<p><b>A:</b> There's nothing wrong with you. This is a bug in Python
2.2. You can see the same effect in Pure Python (you can learn a lot
about what's happening in Boost.Python by playing with new-style
classes in Pure Python).</p>
<pre>
&gt;&gt;&gt; class X(object):
... def __imul__(self, x):
... print 'imul'
...
&gt;&gt;&gt; x = X()
&gt;&gt;&gt; x *= 1
</pre>
To cure this problem, all you need to do is upgrade your Python to
version 2.2.1 or later.
</blockquote>
<hr>
<h2><a name="macosx"></a>Does Boost.Python work with Mac OS X?</h2>
It is known to work under 10.2.8 and 10.3 using
Apple's gcc 3.3 compiler:
<pre>gcc (GCC) 3.3 20030304 (Apple Computer, Inc. build 1493)</pre>
Under 10.2.8 get the August 2003 gcc update (free at
<a href="http://connect.apple.com/">http://connect.apple.com/</a>).
Under 10.3 get the Xcode Tools v1.0 (also free).
<p>
Python 2.3 is required. The Python that ships with 10.3 is
fine. Under 10.2.8 use these commands to install Python
as a framework:
<pre>./configure --enable-framework
make
make frameworkinstall</pre>
The last command requires root privileges because the target
directory is
<tt>/Library/Frameworks/Python.framework/Versions/2.3</tt>.
However, the installation does not interfere with the Python
version that ships with 10.2.8.
<p>
It is also crucial to increase the <tt>stacksize</tt> before
starting compilations, e.g.:
<pre>limit stacksize 8192k</pre>
If the <tt>stacksize</tt> is too small the build might crash with
internal compiler errors.
<p>
Sometimes Apple's compiler exhibits a bug by printing an error
like the following while compiling a
<tt>boost::python::class_&lt;your_type&gt;</tt>
template instantiation:
<pre>.../inheritance.hpp:44: error: cannot
dynamic_cast `p' (of type `struct cctbx::boost_python::&lt;unnamed&gt;::add_pair*
') to type `void*' (source type is not polymorphic)</pre>
We do not know a general workaround, but if the definition of
<tt>your_type</tt> can be modified the following was found
to work in all cases encountered so far:<pre>struct your_type
{
// before defining any member data
#if defined(__MACH__) &amp;&amp; defined(__APPLE_CC__) &amp;&amp; __APPLE_CC__ == 1493
bool dummy_;
#endif
// now your member data, e.g.
double x;
int j;
// etc.
};</pre>
<hr>
<h2><a name="xref">How can I find the existing PyObject that holds a C++
object?</a></h2>
<blockquote>
"I am wrapping a function that always returns a pointer to an
already-held C++ object."
</blockquote>
One way to do that is to hijack the mechanisms used for wrapping a class
with virtual functions. If you make a wrapper class with an initial
PyObject* constructor argument and store that PyObject* as "self", you
can get back to it by casting down to that wrapper type in a thin wrapper
function. For example:
<pre>
class X { X(int); virtual ~X(); ... };
X* f(); // known to return Xs that are managed by Python objects
// wrapping code
struct X_wrap : X
{
X_wrap(PyObject* self, int v) : self(self), X(v) {}
PyObject* self;
};
handle&lt;&gt; f_wrap()
{
X_wrap* xw = dynamic_cast&lt;X_wrap*&gt;(f());
assert(xw != 0);
return handle&lt;&gt;(borrowed(xw-&gt;self));
}
...
def("f", f_wrap());
class_&lt;X,X_wrap&gt;("X", init&lt;int&gt;())
...
;
</pre>
Of course, if X has no virtual functions you'll have to use
<code>static_cast</code> instead of <code>dynamic_cast</code> with no
runtime check that it's valid. This approach also only works if the
<code>X</code> object was constructed from Python, because
<code>X</code>s constructed from C++ are of course never
<code>X_wrap</code> objects.
<p>Another approach to this requires you to change your C++ code a bit;
if that's an option for you it might be a better way to go. work we've
been meaning to get to anyway. When a <code>shared_ptr&lt;X&gt;</code> is
converted from Python, the shared_ptr actually manages a reference to the
containing Python object. When a shared_ptr&lt;X&gt; is converted back to
Python, the library checks to see if it's one of those "Python object
managers" and if so just returns the original Python object. So you could
just write <code>object(p)</code> to get the Python object back. To
exploit this you'd have to be able to change the C++ code you're wrapping
so that it deals with shared_ptr instead of raw pointers.</p>
<p>There are other approaches too. The functions that receive the Python
object that you eventually want to return could be wrapped with a thin
wrapper that records the correspondence between the object address and
its containing Python object, and you could have your f_wrap function
look in that mapping to get the Python object out.</p>
<hr>
<h2><a name="ownership">How can I wrap a function which needs to take
ownership of a raw pointer?</a></h2>
<blockquote>
<i>Part of an API that I'm wrapping goes something like this:</i>
<pre>
struct A {}; struct B { void add( A* ); }
where B::add() takes ownership of the pointer passed to it.
</pre>
<p><i>However:</i></p>
<pre>
a = mod.A()
b = mod.B()
b.add( a )
del a
del b
# python interpreter crashes
# later due to memory corruption.
</pre>
<p><i>Even binding the lifetime of a</i> to b via
with_custodian_and_ward doesn't prevent the python object a from
ultimately trying to delete the object it's pointing to. Is there a way
to accomplish a 'transfer-of-ownership' of a wrapped C++ object?</p>
<p><i>--Bruce Lowery</i></p>
</blockquote>
Yes: Make sure the C++ object is held by auto_ptr:
<pre>
class_&lt;A, std::auto_ptr&lt;A&gt; &gt;("A")
...
;
</pre>
Then make a thin wrapper function which takes an auto_ptr parameter:
<pre>
void b_insert(B&amp; b, std::auto_ptr&lt;A&gt; a)
{
b.insert(a.get());
a.release();
}
</pre>
Wrap that as B.add. Note that pointers returned via <code><a href=
"manage_new_object.html#manage_new_object-spec">manage_new_object</a></code>
will also be held by <code>auto_ptr</code>, so this transfer-of-ownership
will also work correctly.
<hr>
<h2><a name="slow_compilation">Compilation takes too much time and eats too
much memory! What can I do to make it faster?</a></h2>
<p>
Please refer to the <a href="../tutorial/doc/html/python/techniques.html#python.reducing_compiling_time"
>Reducing Compiling Time</a> section in the tutorial.
</p>
<hr>
<h2><a name="packages">How do I create sub-packages using Boost.Python?</a></h2>
<p>
Please refer to the <a href="../tutorial/doc/html/python/techniques.html#python.creating_packages"
>Creating Packages</a> section in the tutorial.
</p>
<hr>
<h2><a name="msvcthrowbug"></a>error C2064: term does
not evaluate to a function taking 2 arguments</h2>
<font size="-1"><i>Niall Douglas provides these notes:</i></font><p>
If you see Microsoft Visual C++ 7.1 (MS Visual Studio .NET 2003) issue
an error message like the following it is most likely due to a bug
in the compiler:
<pre>boost\boost\python\detail\invoke.hpp(76):
error C2064: term does not evaluate to a function taking 2 arguments"</pre>
This message is triggered by code like the following:
<pre>#include &lt;boost/python.hpp&gt;
using namespace boost::python;
class FXThread
{
public:
bool setAutoDelete(bool doso) throw();
};
void Export_FXThread()
{
class_< FXThread >("FXThread")
.def("setAutoDelete", &amp;FXThread::setAutoDelete)
;
}
</pre>
The bug is related to the <code>throw()</code> modifier.
As a workaround cast off the modifier. E.g.:
<pre>
.def("setAutoDelete", (bool (FXThread::*)(bool)) &amp;FXThread::setAutoDelete)</pre>
<p>(The bug has been reported to Microsoft.)</p>
<hr>
<h2><a name="voidptr"></a>How do I handle <tt>void *</tt> conversion?</h2>
<font size="-1"><i>Niall Douglas provides these notes:</i></font><p>
For several reasons Boost.Python does not support <tt>void *</tt> as
an argument or as a return value. However, it is possible to wrap
functions with <tt>void *</tt> arguments or return values using
thin wrappers and the <i>opaque pointer</i> facility. E.g.:
<pre>// Declare the following in each translation unit
struct void_ {};
BOOST_PYTHON_OPAQUE_SPECIALIZED_TYPE_ID(void_);
void *foo(int par1, void *par2);
void_ *foo_wrapper(int par1, void_ *par2)
{
return (void_ *) foo(par1, par2);
}
...
BOOST_PYTHON_MODULE(bar)
{
def("foo", &amp;foo_wrapper);
}</pre>
<hr>
<h2><a name="custom_string"></a>How can I automatically
convert my custom string type to and from a Python string?</h2>
<font size="-1"><i>Ralf W. Grosse-Kunstleve provides these
notes:</i></font><p>
Below is a small, self-contained demo extension module that shows
how to do this. Here is the corresponding trivial test:
<pre>import custom_string
assert custom_string.hello() == "Hello world."
assert custom_string.size("california") == 10</pre>
If you look at the code you will find:
<ul>
<li>A custom <tt>to_python</tt> converter (easy):
<tt>custom_string_to_python_str</tt>
<li>A custom lvalue converter (needs more code):
<tt>custom_string_from_python_str</tt>
</ul>
The custom converters are registered in the global Boost.Python
registry near the top of the module initialization function. Once
flow control has passed through the registration code the automatic
conversions from and to Python strings will work in any module
imported in the same process.
<pre>#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/def.hpp&gt;
#include &lt;boost/python/to_python_converter.hpp&gt;
namespace sandbox { namespace {
class custom_string
{
public:
custom_string() {}
custom_string(std::string const&amp; value) : value_(value) {}
std::string const&amp; value() const { return value_; }
private:
std::string value_;
};
struct custom_string_to_python_str
{
static PyObject* convert(custom_string const&amp; s)
{
return boost::python::incref(boost::python::object(s.value()).ptr());
}
};
struct custom_string_from_python_str
{
custom_string_from_python_str()
{
boost::python::converter::registry::push_back(
&amp;convertible,
&amp;construct,
boost::python::type_id&lt;custom_string&gt;());
}
static void* convertible(PyObject* obj_ptr)
{
if (!PyString_Check(obj_ptr)) return 0;
return obj_ptr;
}
static void construct(
PyObject* obj_ptr,
boost::python::converter::rvalue_from_python_stage1_data* data)
{
const char* value = PyString_AsString(obj_ptr);
if (value == 0) boost::python::throw_error_already_set();
void* storage = (
(boost::python::converter::rvalue_from_python_storage&lt;custom_string&gt;*)
data)-&gt;storage.bytes;
new (storage) custom_string(value);
data-&gt;convertible = storage;
}
};
custom_string hello() { return custom_string(&quot;Hello world.&quot;); }
std::size_t size(custom_string const&amp; s) { return s.value().size(); }
void init_module()
{
using namespace boost::python;
boost::python::to_python_converter&lt;
custom_string,
custom_string_to_python_str&gt;();
custom_string_from_python_str();
def(&quot;hello&quot;, hello);
def(&quot;size&quot;, size);
}
}} // namespace sandbox::&lt;anonymous&gt;
BOOST_PYTHON_MODULE(custom_string)
{
sandbox::init_module();
}</pre>
<hr>
<h2><a name="topythonconversionfailed"></a
>Why is my automatic to-python conversion not being found?</h2>
<font size="-1"><i>Niall Douglas provides these notes:</i></font><p>
If you define custom converters similar to the ones
shown above the <tt>def_readonly()</tt> and <tt>def_readwrite()</tt>
member functions provided by <tt>boost::python::class_</tt> for
direct access to your member data will not work as expected.
This is because <tt>def_readonly("bar",&nbsp;&amp;foo::bar)</tt> is
equivalent to:
<pre>.add_property("bar", make_getter(&amp;foo::bar, return_internal_reference()))</pre>
Similarly, <tt>def_readwrite("bar",&nbsp;&amp;foo::bar)</tt> is
equivalent to:
<pre>.add_property("bar", make_getter(&amp;foo::bar, return_internal_reference()),
make_setter(&amp;foo::bar, return_internal_reference())</pre>
In order to define return value policies compatible with the
custom conversions replace <tt>def_readonly()</tt> and
<tt>def_readwrite()</tt> by <tt>add_property()</tt>. E.g.:
<pre>.add_property("bar", make_getter(&amp;foo::bar, return_value_policy&lt;return_by_value&gt;()),
make_setter(&amp;foo::bar, return_value_policy&lt;return_by_value&gt;()))</pre>
<hr>
<h2><a name="threadsupport"></a
>Is Boost.Python thread-aware/compatible with multiple interpreters?</h2>
<font size="-1"><i>Niall Douglas provides these notes:</i></font><p>
The quick answer to this is: no.</p>
<p>
The longer answer is that it can be patched to be so, but it's
complex. You will need to add custom lock/unlock wrapping of every
time your code enters Boost.Python (particularly every virtual
function override) plus heavily modify
<tt>boost/python/detail/invoke.hpp</tt> with custom unlock/lock
wrapping of every time Boost.Python enters your code. You must
furthermore take care to <i>not</i> unlock/lock when Boost.Python
is invoking iterator changes via <tt>invoke.hpp</tt>.</p>
<p>
There is a patched <tt>invoke.hpp</tt> posted on the C++-SIG
mailing list archives and you can find a real implementation of all
the machinery necessary to fully implement this in the TnFOX
project at <a href="http://sourceforge.net/projects/tnfox/"> this
SourceForge project location</a>.</p>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
28 January, 2004
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002-2003.</i></p>
</body>
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<h1 class="c1"><a href="../index.html">Boost.Python</a></h1>
<h2 class="c2">February 2002 Progress Report</h2>
</table>
<hr>
<h2>Contents</h2>
<dl class="index">
<dt><a href="#Python10">Python10 Conference Report</a>
<dt><a href="#progress">Boost.Python v2 Progress</a>
<dd>
<dl class="index">
<dt><a href="#documentation">Documentation</a>
<dt><a href="#conversion">Overhaul of
<code>to_python</code>/<code>from_python</code>
conversion mechanism</a>
<dt><a href="#miscellaneous">Miscellaneous</a>
</dl>
</dl>
<h2><a name="Python10">Python10 Conference Report</a></h2>
I spent the first week of February at the Python10 conference
in Alexandria, VA. I&#39;m including this experience report
for two reasons: firstly, it documents where my time was
used. Secondly, a public presence for Boost.Python and
interaction between the Python and C++ communities is
important to the future of Boost.Python, which in turn is
important to the Kull Project.
<p>Andy Koenig, of all people, was the keynote speaker of
this year&#39;s opening plenary session. He presented his
&quot;impressions of a polyglot outsider&quot;, which
studiously avoided any mention of C++ until the end of his
talk, when he was asked about standardization. I was
surprised to learn that the C++ community at large wanted a
few more years before beginning but when ANSI accepted
HP&#39;s request for a standard, the process was forced to
start: it was a matter of participating or having
standardization proceed without one&#39;s input. Andy managed
to highlight very effectively the balance of strengths in
Python, one of the most important being its support for
extension via libraries. In many ways that makes Python a
good analogue for C++ in the interpreted world
<p>There were several kind mentions of the Boost.Python
library from people who found it indispensable. I was
particularly happy that Karl MacMillan, Michael Droettboom,
and Ichiro Fujinaga from Johns Hopkins is using it to do OCR
on a vast library of music notation, since in a previous life
I was an author of music notation software. These guys are
also drawing on Ullrich Koethe&#39;s VIGRA library for image
manipulation (Ullrich has been a major contributor to
Boost.Python). They also have a system for writing the
Boost.Python wrapper code in C++ comments, which allows them
to keep all of the code in one place. I&#39;ve asked them to
send me some information on that.
<p>The development of Swig has been gaining momentum again
(the basic description at
www.boost.org/libs/python/doc/comparisons.html still
applies). The talk given about it by David Beazly was very
well-attended, and they appear to have quite a few users.
Swig&#39;s strengths (coverage of many langauages) and
weaknesses (incomplete C++ language support) haven&#39;t
changed, although the C++ support seems to have improved
considerably - they now claim to have a complete model of the
C++ type system. It seems to be mostly geared at wrapping
what Walter Landry calls &quot;C-Tran&quot;: C++ code which
traffics in built-in types with little use of abstraction.
I&#39;m not knocking that, either: I&#39;m sure a lot of that
code exists, so it&#39;s a valuable service. One feature Swig
has which I&#39;d like to steal is the ability to unwrap a
single Python argument into multiple C++ arguments, for
example, by converting a Python string into a pointer and
length. When his talk was over, David approached me about a
possible joint workshop on language binding, which sounds
like a fun idea to me.
<p>I spent some considerable time talking with Steven Knight,
the leader of the Scons build tool effort. We had a lot to
share with one another, and I gained a much better
appreciation for many of the Scons design decisions. Scons
seems to be concentrating on being the ultimate build system
substrate, and Steve seemed to think that we were on the
right track with our high-level design. We both hope that the
Boost.Build V2 high-level architecture can eventually be
ported to run on top of Scons.
<p>They also have a highly-refined and successful development
procedure which I&#39;d like to emulate for Boost.Build V2.
Among many other things they do, their source-control system
automatically ensures that when you check in a new test, it
is automatically run on the currently checked-in state of the
code, and is expected to fail -- a relatively obvious good
idea which I&#39;ve never heard before.
<p>Guido Van Rossum&#39;s &quot;State of the Python
Union&quot; address was full of questions for the community
about what should be done next, but the one idea Guido seemed
to stress was that core language stability and continuing
library development would be a good idea (sound familiar?) I
mentioned the Boost model as a counterpoint to the idea of
something like CPAN (the massive Perl library archives), and
it seemed to generate some significant interest. I&#39;ve
offered to work with anyone from the Python community who
wants to set up something like Boost.
<p>There was some discussion of &quot;string
interpolation&quot; (variable substitution in strings), and
Guido mentioned that he had some thoughts about the
strengths/weaknesses of Python&#39;s formatting interface. It
might be useful for those working on formatting for boost to
contact him and find out what he has to say.
<p>Ka-Ping Yee demoed a Mailman discussion thread weaver.
This tool weaves the various messages in a discussion thread
into a single document so you can follow the entire
conversation. Since we&#39;re looking very seriously at
moving Boost to Mailman, this could be a really useful thing
for us to have. If we do this, we&#39;ll move the yahoogroups
discussions into the mailman archive so old discussions can
be easily accessed in the same fashion.
<p>And, just because it&#39;s cool, though perhaps not
relevant: http://homepages.ulb.ac.be/~arigo/psyco/ is a
promising effort to accelerate the execution of Python code
to speeds approaching those of compiled languages. It
reminded me a lot of Todd Veldhuizen&#39;s research into
moving parts of C++ template compilation to runtime, only
coming from the opposite end of things.
<h2><a name="progress">Boost.Python v2 Progress</a></h2>
Here&#39;s what actually got accomplished.
<h3><a name="documentation">Documentation</a></h3>
<p>My first priority upon returning from Python10 was to get
some documentation in place. After wasting an unfortunate
amount of time looking at automatic documentation tools which
don&#39;t quite work, I settled down to use Bill Kempf&#39;s
HTML templates designed to be a boost standard. While they
are working well, it is highly labor-intensive.
<p>I decided to begin with the high-level reference material,
as opposed to tutorial, narrative, or nitty-gritty details of
the framework. It seemed more important to have a precise
description of the way the commonly-used components work than
to have examples in HTML (since we already have some test
modules), and since the low-level details are much
less-frequently needed by users it made sense for me to
simply respond to support requests for the time being.
<p>After completing approximately 60% of the high-level docs
(currently checked in to libs/python/doc/v2), I found myself
ready to start documenting the mechanisms for creating
to-/from-python converters. This caused a dilemma: I had
realized during the previous week that a much simpler,
more-efficient, and easier-to-use implementation was
possible, but I hadn&#39;t planned on implementing it right
away, since what was already in place worked adequately. I
had also received my first query on the C++-sig about how to
write such a converter
<p>Given the labor-intensive nature of documentation writing,
I decided it would be a bad idea to document the conversion
mechanism if I was just going to rewrite it. Often the best
impetus for simplifying a design is the realization that
understandably documenting its current state would be too
difficult, and this was no exception.
<h3><a name="conversion">Overhaul of
<code>to_python</code>/<code>from_python</code> conversion
mechanism</a></h3>
<p>There were two basic realizations involved here:
<ol>
<li><code>to_python</code> conversion could be a one-step
process, once an appropriate conversion function is found.
This allows elimination of the separate indirect
convertibility check
<li>There are basically two categories of from_python
conversions: those which lvalues stored within or held by
the Python object (essentially extractions), like what
happens when an instance of a C++ class exposed with class_
is used as the target of a wrapped member function), and
those in which a new rvalue gets created, as when a Python
Float is converted to a C++
<code>complex&lt;double&gt;</code> or a Python tuple is
converted to a C++ <code>std::vector&lt;&gt;</code>. From
the client side, there are two corresponding categories of
conversion: those which demand an lvalue conversion and
those which can accept an lvalue or an rvalue conversion.
</ol>
The latter realization allowed the following collapse, which
considerably simplified things:
<blockquote>
<table border="1" summary="Conversion protocol">
<tr>
<th>Target Type
<th>Eligible Converters
<tr>
<td><code>T</code>
<td rowspan="5"><code>T</code> rvalue or lvalue
<tr>
<td><code>T const</code>
<tr>
<td><code>T volatile</code>
<tr>
<td><code>T const volatile</code>
<tr>
<td><code>T const&amp;</code>
<tr>
<td><code>T const*</code>
<td rowspan="9"><code>T</code> lvalue
<tr>
<td><code>T volatile*</code>
<tr>
<td><code>T const volatile*</code>
<tr>
<td><code>T&amp;</code>
<tr>
<td><code>T volatile&amp;</code>
<tr>
<td><code>T const volatile&amp;</code>
<tr>
<td><code>T* const&amp;</code>
<tr>
<td><code>T const* const&amp;</code>
<tr>
<td><code>T volatile*const&amp;</code>
<tr>
<td><code>T const volatile*const&amp;</code>
</table>
</blockquote>
This job included the following additional enhancements:
<ul>
<li>Elimination of virtual functions, which cause object
code bloat
<li>Registration of a single converter function for all
lvalue conversions, two for all rvalue conversions
<li>Killed lots of unneeded code
<li>Increased opacity of registry interface
<li>Eliminated all need for decorated runtime type
identifiers
<li>Updated test modules to reflect new interface
<li>Eliminated the need for users to worry about converter
lifetime issues Additional Builtin Conversion Enhancements
<li>Support for complex&lt;float&gt;,
complex&lt;double&gt;, and complex&lt;long double&gt;
conversions
<li>Support for bool conversions
<li>NULL pointers representable by None in Python
<li>Support for conversion of Python classic classes to
numeric types
</ul>
<h3><a name="miscellaneous">Miscellaneous</a></h3>
These don&#39;t fit easily under a large heading:
<ul>
<li>Support CallPolicies for class member functions
<li>from_python_data.hpp: revamped type alignment
metaprogram so that it&#39;s fast enough for KCC
<li>classfwd.hpp header forward-declares class_&lt;T&gt;
<li>indirect_traits.hpp:
<li>added is_pointer_to_reference
<li>fixed bugs
<li>Reduced recompilation dependencies
<li>msvc_typeinfo works around broken MS/Intel typeid()
implementation
<li>Many fixes and improvements to the type_traits library
in order to work around compiler bugs and suppress warnings
<li>Eliminated the need for explicit acquisition of
converter registrations
<li>Expanded constructor support to 6 arguments
<li>Implemented generalized pointer lifetime support
<li>Updated code generation for returning.hpp
<li>Tracked down and fixed cycle GC bugs
<li>Added comprehensive unit tests for destroy_reference,
pointer_type_id, select_from_python, complex&lt;T&gt;,
bool, and classic class instance conversions
</ul>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<p class="c3">&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a>
2002.

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<h1 class="c1"><a href="../index.html">Boost.Python</a></h1>
<h2 class="c2">Header &lt;boost/python/handle.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#handle-spec">Class template
<code>handle</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#handle-spec-synopsis">Class <code>handle</code>
synopsis</a></dt>
<dt><a href="#handle-spec-ctors">Class <code>handle</code>
constructors and destructor</a></dt>
<dt><a href="#handle-spec-modifiers">Class <code>handle</code>
modifier functions</a></dt>
<dt><a href="#handle-spec-observers">Class <code>handle</code>
observer functions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#borrowed-spec"><code>borrowed</code></a></dt>
<dt><a href="#allow_null-spec"><code>allow_null</code></a></dt>
</dl>
</dd>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/handle.hpp&gt;</code> provides
<code>class&nbsp;template&nbsp;handle</code>, a smart pointer for
managing reference-counted Python objects.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="handle-spec"></a>Class template <code>handle</code></h3>
<p><code>handle</code> is a smart pointer to a Python object type; it
holds a pointer of type <code>T*</code>, where T is its template
parameter. <code>T</code> must be either a type derived from
<code>PyObject</code> or a <a href="definitions.html#POD">POD</a> type
whose initial <code>sizeof(PyObject)</code> bytes are layout-compatible
with <code>PyObject</code>. Use <code>handle&lt;&gt;</code> at the
boundary between the Python/'C' API and high-level code; prefer <code><a
href="object.html#object-spec">object</a></code> for a generalized
interface to Python objects.</p>
<p><a name="upcast"></a>In this document, the term "upcast" refers to an
operation which converts a pointer <code>Y*</code> to a base class
pointer <code>T*</code> via <code>static_cast&lt;T*&gt;</code> if
<code>Y</code> is derived from <code>T</code>, or via C-style cast
<code>(T*)</code> if it is not. However, in the latter case the "upcast"
is ill-formed if the initial <code>sizeof(PyObject)</code> bytes of
<code>Y</code> are not layout-compatible with <code>PyObject</code>.</p>
<h4><a name="handle-spec-synopsis"></a>Class template handle
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class T&gt;
class handle
{
typedef <i>unspecified-member-function-pointer</i> bool_type;
public: // types
typedef T element_type;
public: // member functions
~handle();
template &lt;class Y&gt;
explicit handle(detail::borrowed&lt;null_ok&lt;Y&gt; &gt;* p);
template &lt;class Y&gt;
explicit handle(null_ok&lt;detail::borrowed&lt;Y&gt; &gt;* p);
template &lt;class Y&gt;
explicit handle(detail::borrowed&lt;Y&gt;* p);
template &lt;class Y&gt;
explicit handle(null_ok&lt;Y&gt;* p);
template &lt;class Y&gt;
explicit handle(Y* p);
handle();
handle&amp; operator=(handle const&amp; r);
template&lt;typename Y&gt;
handle&amp; operator=(handle&lt;Y&gt; const &amp; r); // never throws
template &lt;typename Y&gt;
handle(handle&lt;Y&gt; const&amp; r);
handle(handle const&amp; r);
T* operator-&gt; () const;
T&amp; operator* () const;
T* get() const;
void reset();
T* release();
operator bool_type() const; // never throws
private:
T* m_p;
};
template &lt;class T&gt; struct null_ok;
namespace detail { template &lt;class T&gt; struct borrowed; }
}}
</pre>
<h4><a name="handle-spec-ctors">Class <code>handle</code> constructors
and destructor</a></h4>
<pre>
virtual ~handle();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>Py_XDECREF(</code><i>upcast</i><code>&lt;PyObject*&gt;(m_p))</code></dt>
</dl>
<pre>
template &lt;class Y&gt;
explicit handle(detail::borrowed&lt;null_ok&lt;Y&gt; &gt;* p);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>Py_XINCREF(</code><i>upcast</i><code>&lt;PyObject*&gt;(p));
m_p&nbsp;=&nbsp;</code><i>upcast</i><code>&lt;T*&gt;(p);</code></dt>
</dl>
<pre>
template &lt;class Y&gt;
explicit handle(null_ok&lt;detail::borrowed&lt;Y&gt; &gt;* p);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>Py_XINCREF(</code><i>upcast</i><code>&lt;PyObject*&gt;(p));
m_p&nbsp;=&nbsp;</code><i>upcast</i><code>&lt;T*&gt;(p);</code></dt>
</dl>
<pre>
template &lt;class Y&gt;
explicit handle(detail::borrowed&lt;Y&gt;* p);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>Py_XINCREF(</code><i>upcast</i><code>&lt;PyObject*&gt;(p));
m_p&nbsp;=&nbsp;</code><i>upcast</i><code>&lt;T*&gt;(<a href=
"errors.html#expect_non_null-spec">expect_non_null</a>(p));</code></dt>
</dl>
<pre>
template &lt;class Y&gt;
explicit handle(null_ok&lt;Y&gt;* p);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>m_p&nbsp;=&nbsp;</code><i>upcast</i><code>&lt;T*&gt;(p);</code></dt>
</dl>
<pre>
template &lt;class Y&gt;
explicit handle(Y* p);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>m_p&nbsp;=&nbsp;</code><i>upcast</i><code>&lt;T*&gt;(<a href=
"errors.html#expect_non_null-spec">expect_non_null</a>(p));</code></dt>
</dl>
<pre>
handle();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> <code>m_p&nbsp;=&nbsp;0;</code></dt>
</dl>
<pre>
template &lt;typename Y&gt;
handle(handle&lt;Y&gt; const&amp; r);
handle(handle const&amp; r);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>m_p&nbsp;=&nbsp;r.m_p;&nbsp;Py_XINCREF(</code><i>upcast</i><code>&lt;PyObject*&gt;(m_p));</code></dt>
</dl>
<h4><a name="handle-spec-modifiers">Class <code>handle</code>
modifiers</a></h4>
<pre>
handle&amp; operator=(handle const&amp; r);
template&lt;typename Y&gt;
handle&amp; operator=(handle&lt;Y&gt; const &amp; r); // never throws
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>Py_XINCREF(</code><i>upcast</i><code>&lt;PyObject*&gt;(r.m_p));&nbsp;Py_XDECREF(</code><i>
upcast</i><code>&lt;PyObject*&gt;(m_p));&nbsp;m_p&nbsp;=&nbsp;r.m_p;</code></dt>
</dl>
<pre>
T* release();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> <code>T* x = m_p;&nbsp;m_p&nbsp;=&nbsp;0;return
x;</code></dt>
</dl>
<pre>
void reset();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>*this&nbsp;=&nbsp;handle&lt;T&gt;();</code></dt>
</dl>
<h4><a name="handle-spec-observers">Class <code>handle</code>
observers</a></h4>
<pre>
T* operator-&gt; () const;
T* get() const;
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>m_p;</code></dt>
</dl>
<pre>
T&amp; operator* () const;
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>*m_p;</code></dt>
</dl>
<pre>
operator bool_type() const; // never throws
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> 0 if <code>m_p&nbsp;==&nbsp;0</code>, a pointer
convertible to <code>true</code> otherwise.</dt>
</dl>
<h2><a name="functions"></a>Functions</h2>
<h3><a name="borrowed-spec"></a><code>borrowed</code></h3>
<pre>
template &lt;class T&gt;
detail::borrowed&lt;T&gt;* borrowed(T* p)
{
return (detail::borrowed&lt;T&gt;*)p;
}
</pre>
<h3><a name="allow_null-spec"></a><code>allow_null</code></h3>
<pre>
template &lt;class T&gt;
null_ok&lt;T&gt;* allow_null(T* p)
{
return (null_ok&lt;T&gt;*)p;
}
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p class="c4">&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002
.</p>
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<h2 class="c2">Header
&lt;boost/python/has_back_reference.hpp&gt;</h2>
</td>
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</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#has_back_reference-spec">Class template
<code>has_back_reference</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#has_back_reference-spec-synopsis">Class template
<code>has_back_reference</code> synopsis</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
</dd>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/has_back_reference.hpp&gt;</code> defines the
predicate metafunction <code>has_back_reference&lt;&gt;</code>, which can
be specialized by the user to indicate that a wrapped class instance
holds a <code>PyObject*</code> corresponding to a Python object.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="has_back_reference-spec"></a>Class template
<code>has_back_reference</code></h3>
<p>A unary metafunction whose <code>value</code> is true iff its argument
is a <code>pointer_wrapper&lt;&gt;</code>.</p>
<h4><a name="has_back_reference-spec-synopsis"></a>Class template
<code>has_back_reference</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
template&lt;class WrappedClass&gt; class has_back_reference
{
typedef mpl::false_ type;
};
}}
</pre>
<p>A "<a href="../../../mpl/doc/refmanual/metafunction.html">
metafunction</a>" that is inspected by Boost.Python to determine how
wrapped classes can be constructed.</p>
<dl class="traits-semantics">
<dt><code>type::value</code> is an integral constant convertible to bool
of unspecified type.</dt>
<dt>Specializations may substitute a <code>true</code>-valued integral constant wrapper for
<code>type</code> iff for each invocation of
<code>class_&lt;WrappedClass&gt;::def(init&lt;</code>
<i>type-sequence...</i><code>&gt;())</code> and the implicitly wrapped
copy constructor (unless it is <a href="class.html#class_-spec">
noncopyable</a>), there exists a corresponding constructor
<code>WrappedClass::WrappedClass(PyObject*,&nbsp;</code>
<i>type-sequence...</i><code>)</code>. If such a specialization exists,
the <code>WrappedClass</code> constructors will be called with a "back
reference" pointer to the corresponding Python object whenever they are
invoked from Python. The easiest way to provide this nested <code>
type
</code>
is to
derive the specialization from <code>mpl::true_</code>.
</dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<h3>C++ module definition</h3>
<pre>
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/has_back_reference.hpp&gt;
#include &lt;boost/python/handle.hpp&gt;
#include &lt;boost/shared_ptr.hpp&gt;
using namespace boost::python;
using boost::shared_ptr;
struct X
{
X(PyObject* self) : m_self(self), m_x(0) {}
X(PyObject* self, int x) : m_self(self), m_x(x) {}
X(PyObject* self, X const& other) : m_self(self), m_x(other.m_x) {}
handle&lt;&gt; self() { return handle&lt;&gt;(borrowed(m_self)); }
int get() { return m_x; }
void set(int x) { m_x = x; }
PyObject* m_self;
int m_x;
};
// specialize has_back_reference for X
namespace boost { namespace python
{
template &lt;&gt;
struct has_back_reference&lt;X&gt;
: mpl::true_
{};
}}
struct Y
{
Y() : m_x(0) {}
Y(int x) : m_x(x) {}
int get() { return m_x; }
void set(int x) { m_x = x; }
int m_x;
};
shared_ptr&lt;Y&gt;
Y_self(shared_ptr&lt;Y&gt; self) { return self; }
BOOST_PYTHON_MODULE(back_references)
{
class_&lt;X&gt;("X")
.def(init&lt;int&gt;())
.def("self", &amp;X::self)
.def("get", &amp;X::get)
.def("set", &amp;X::set)
;
class_&lt;Y, shared_ptr&lt;Y&gt; &gt;("Y")
.def(init&lt;int&gt;())
.def("get", &amp;Y::get)
.def("set", &amp;Y::set)
.def("self", Y_self)
;
}
</pre>
The following Python session illustrates that <code>x.self()</code>
returns the same Python object on which it is invoked, while
<code>y.self()</code> must create a new Python object which refers to the
same Y instance.
<h3>Python code</h3>
<pre>
&gt;&gt;&gt; from back_references import *
&gt;&gt;&gt; x = X(1)
&gt;&gt;&gt; x2 = x.self()
&gt;&gt;&gt; x2 is x
<b>1</b>
&gt;&gt;&gt; (x.get(), x2.get())
(1, 1)
&gt;&gt;&gt; x.set(10)
&gt;&gt;&gt; (x.get(), x2.get())
(10, 10)
&gt;&gt;&gt;
&gt;&gt;&gt;
&gt;&gt;&gt; y = Y(2)
&gt;&gt;&gt; y2 = y.self()
&gt;&gt;&gt; y2 is y
<b>0</b>
&gt;&gt;&gt; (y.get(), y2.get())
(2, 2)
&gt;&gt;&gt; y.set(20)
&gt;&gt;&gt; (y.get(), y2.get())
(20, 20)
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
18 July, 2004
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p class="c3">&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002
.</p>
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<h2 align="center">Header &lt;boost/python/implicit.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#implicitly_convertible-spec">Function Template
<code>implicitly_convertible</code></a></dt>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<code>implicitly_convertible</code> allows Boost.Python to implicitly
take advantage of a C++ implicit or explicit conversion when matching
Python objects to C++ argument types.
<h2><a name="functions"></a>Functions</h2>
<h3><a name="implicitly_convertible-spec"></a>Function template
<code>implicitly_convertible</code></h3>
<pre>
template &lt;class Source, class Target&gt;
void implicitly_convertible();
</pre>
<table border="1" summary="implicitly_convertible template parameters">
<caption>
<b><code>implicitly_convertible</code> template parameters</b><br>
</caption>
<tr>
<th>Parameter</th>
<th>Description</th>
</tr>
<tr>
<td><code>Source</code></td>
<td>The source type of the implicit conversion</td>
</tr>
<tr>
<td><code>Target</code></td>
<td>The target type of the implicit conversion</td>
</tr>
</table>
<dl class="function-semantics">
<dt><b>Requires:</b> The declaration <code>Target t(s);</code>, where
<code>s</code> is of type <code>Source</code>, is valid.</dt>
<dt><b>Effects:</b> registers an rvalue <code>from_python</code>
converter to <code>Target</code> which can succeed for any
<code>PyObject*&nbsp;p</code> iff there exists any registered converter
which can produce <code>Source</code> rvalues</dt>
<dt><b>Rationale:</b> C++ users expect to be able to take advantage of
the same sort of interoperability in Python as they do in C++.</dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<h3>C++ module definition</h3>
<pre>
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/python/implicit.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
using namespace boost::python;
struct X
{
X(int x) : v(x) {}
operator int() const { return v; }
int v;
};
int x_value(X const&amp; x)
{
return x.v;
}
X make_x(int n) { return X(n); }
BOOST_PYTHON_MODULE(implicit_ext)
{
def("x_value", x_value);
def("make_x", make_x);
class_&lt;X&gt;("X",
init&lt;int&gt;())
;
implicitly_convertible&lt;X,int&gt;();
implicitly_convertible&lt;int,X&gt;();
}
</pre>
<h3>Python code</h3>
<pre>
&gt;&gt;&gt; from implicit_ext import *
&gt;&gt;&gt; x_value(X(42))
42
&gt;&gt;&gt; x_value(42)
42
&gt;&gt;&gt; x = make_x(X(42))
&gt;&gt;&gt; x_value(x)
42
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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<h2 align="center">Header &lt;boost/python/import.hpp&gt;</h2>
</td>
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<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#import-spec"><code>import</code></a></dt>
</dl>
</dd>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a mechanism for importing python modules.</p>
<h2><a name="functions"></a>Functions</h2>
<h3><a name="import-spec"></a><code>import</code></h3>
<pre>
object import(str name);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> Imports the module named by <code>name</code>.</dt>
<dt><b>Returns:</b> An instance of <a href="object.html#object-spec">object</a>
which holds a reference to the imported module.</dt>
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<title>
Indexing Support
</title>
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summary="header">
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"0"></a>
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<a href="../index.html">Boost.Python</a>
</h1>
<h2> Headers &lt;boost/python/indexing/indexing_suite.hpp&gt;<br>
&lt;boost/python/indexing/vector_indexing_suite.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>
Contents
</h2>
<dl class="page-index">
<dt>
<a href="#introduction">Introduction</a>
</dt>
<dt>
<a href="#interface">Interface</a>
</dt>
<dd>
<dl class="page-index">
<dt>
<a href="#indexing_suite">indexing_suite</a>
</dt>
<dt>
<a href="#indexing_suite_subclasses">indexing_suite
sub-classes</a>
</dt>
<dd>
<dl class="page-index">
<dt>
<a href="#vector_indexing_suite">vector_indexing_suite</a>
</dt>
</dl>
</dd>
</dl>
</dd>
</dl>
<dl>
<dt>
<a href="#indexing_suite_class">indexing_suite class</a>
</dt>
<dt>
<a href="#vector_indexing_suite_class">vector_indexing_suite
class</a>
</dt>
</dl>
<hr>
<h2>
<a name="introduction" id="introduction"></a>Introduction
</h2>
<p>
Indexing is a Boost Python facility for easy exportation of indexable
C++ containers to Python. Indexable containers are containers that
allow random access through the operator[] (e.g. std::vector).
</p>
<p>
While Boost Python has all the facilities needed to expose indexable
C++ containers such as the ubiquitous std::vector to Python, the
procedure is not as straightforward as we'd like it to be. Python
containers do not map easily to C++ containers. Emulating Python
containers in C++ (see Python Reference Manual, <a href=
"http://www.python.org/doc/current/ref/sequence-types.html">Emulating
container types</a>) using Boost Python is non trivial. There are a lot
of issues to consider before we can map a C++ container to Python.
These involve implementing wrapper functions for the methods
<strong>__len__</strong>, <strong>__getitem__</strong>,
<strong>__setitem__</strong>, <strong>__delitem__,</strong>
<strong>__iter__</strong> and <strong>__contains</strong>.
</p>
<p>
The goals:
</p>
<ul>
<li>
<div>
Make indexable C++ containers behave exactly as one would expect a
Python container to behave.
</div>
</li>
<li>
Provide default reference semantics for container element indexing
(<tt>__getitem__</tt>) such that <tt>c[i]</tt> can be mutable.
Require:
<div>
<pre>
val = c[i]
c[i].m()
val == c[i]
</pre>
</div>where <tt>m</tt> is a non-const (mutating) member function
(method).
</li>
<li>
Return safe references from <tt>__getitem__</tt> such that subsequent
adds and deletes to and from the container will not result in
dangling references (will not crash Python).
</li>
<li>
Support slice indexes.
</li>
<li>
Accept Python container arguments (e.g. lists, tuples) wherever
appropriate.
</li>
<li>
Allow for extensibility through re-definable policy classes.
</li>
<li>
Provide predefined support for the most common STL and STL like
indexable containers.
</li>
</ul>
<hr>
<h2> <a name="interface"></a>The Boost.Python Indexing Interface</h2>
<h3> <a name="indexing_suite"></a>indexing_suite [ Header &lt;boost/python/indexing/indexing_suite.hpp&gt;
]</h3>
<p>
The <tt>indexing_suite</tt> class is the base protocol class for the
management of C++ containers intended to be integrated to Python. The
objective is make a C++ container look and feel and behave exactly as
we'd expect a Python container. The class automatically wraps these
special Python methods (taken from the Python reference: <a href=
"http://www.python.org/doc/current/ref/sequence-types.html">Emulating
container types</a>):
</p>
<dl>
<dd>
<dl>
<dt>
<b><a name="l2h-126"><tt class=
"method">__len__</tt></a></b>(<var>self</var>)
</dt>
<dd>
Called to implement the built-in function <tt class=
"function">len()</tt><a name="l2h-134">&nbsp;</a> Should return
the length of the object, an integer <code>&gt;=</code> 0. Also,
an object that doesn't define a <tt class=
"method">__nonzero__()</tt> method and whose <tt class=
"method">__len__()</tt> method returns zero is considered to be
false in a Boolean context. <a name="l2h-128">&nbsp;</a>
</dd>
</dl>
<dl>
<dt>
<b><a name="l2h-129"><tt class=
"method">__getitem__</tt></a></b>(<var>self, key</var>)
</dt>
<dd>
Called to implement evaluation of
<code><var>self</var>[<var>key</var>]</code>. For sequence types,
the accepted keys should be integers and slice
objects.<a name="l2h-135">&nbsp;</a> Note that the special
interpretation of negative indexes (if the class wishes to
emulate a sequence type) is up to the <tt class=
"method">__getitem__()</tt> method. If <var>key</var> is of
an inappropriate type, <tt class="exception">TypeError</tt>
may be raised; if of a value outside the set of indexes for
the sequence (after any special interpretation of negative
values), <tt class="exception">IndexError</tt> should be
raised. <span class="note"><b class="label">Note:</b>
<tt class="keyword">for</tt> loops expect that an <tt class=
"exception">IndexError</tt> will be raised for illegal
indexes to allow proper detection of the end of the
sequence.</span>
</dd>
</dl>
<dl>
<dt>
<b><a name="l2h-130"><tt class=
"method">__setitem__</tt></a></b>(<var>self, key, value</var>)
</dt>
<dd>
Called to implement assignment to
<code><var>self</var>[<var>key</var>]</code>. Same note as for
<tt class="method">__getitem__()</tt>. This should only be
implemented for mappings if the objects support changes to the
values for keys, or if new keys can be added, or for sequences if
elements can be replaced. The same exceptions should be raised
for improper <var>key</var> values as for the <tt class=
"method">__getitem__()</tt> method.
</dd>
</dl>
<dl>
<dt>
<b><a name="l2h-131"><tt class=
"method">__delitem__</tt></a></b>(<var>self, key</var>)
</dt>
<dd>
Called to implement deletion of
<code><var>self</var>[<var>key</var>]</code>. Same note as for
<tt class="method">__getitem__()</tt>. This should only be
implemented for mappings if the objects support removal of keys,
or for sequences if elements can be removed from the sequence.
The same exceptions should be raised for improper <var>key</var>
values as for the <tt class="method">__getitem__()</tt> method.
</dd>
</dl>
<dl>
<dt>
<b><a name="l2h-132"><tt class=
"method">__iter__</tt></a></b>(<var>self</var>)
</dt>
<dd>
This method is called when an iterator is required for a
container. This method should return a new iterator object that
can iterate over all the objects in the container. For mappings,
it should iterate over the keys of the container, and should also
be made available as the method <tt class=
"method">iterkeys()</tt>.
<p>
Iterator objects also need to implement this method; they are
required to return themselves. For more information on iterator
objects, see ``<a class="ulink" href=
"http://www.python.org/doc/current/lib/typeiter.html">Iterator
Types</a>'' in the <em class="citetitle"><a href=
"http://www.python.org/doc/current/lib/lib.html" title=
"Python Library Reference">Python Library Reference</a></em>.
</p>
</dd>
</dl>
<dl>
<dt>
<b><a name="l2h-133"><tt class=
"method">__contains__</tt></a></b>(<var>self, item</var>)
</dt>
<dd>
Called to implement membership test operators. Should return true
if <var>item</var> is in <var>self</var>, false otherwise. For
mapping objects, this should consider the keys of the mapping
rather than the values or the key-item pairs.
</dd>
</dl>
</dd>
</dl>
<h3> <a name="indexing_suite_subclasses"></a>indexing_suite sub-classes</h3>
<p>
The <tt>indexing_suite</tt> is not meant to be used as is. A couple of
policy functions must be supplied by subclasses of
<tt>indexing_suite</tt>. However, a set of <tt>indexing_suite</tt>
subclasses for the standard indexable STL containers will be provided,
In most cases, we can simply use the available predefined suites. In
some cases, we can refine the predefined suites to suit our needs.
</p>
<h3> <a name="vector_indexing_suite"></a>vector_indexing_suite [ Header &lt;boost/python/indexing/vector_indexing_suite.hpp&gt;
] </h3>
<p>
The <tt>vector_indexing_suite</tt> class is a predefined
<tt>indexing_suite</tt> derived class designed to wrap
<tt>std::vector</tt> (and <tt>std::vector</tt> like [i.e. a class with
std::vector interface]) classes (currently, this is the only predefined
suite available). It provides all the policies required by the
<tt>indexing_suite</tt>.
</p>
<p>
Example usage:
</p>
<pre>
class X {...};
...
class_&lt;std::vector&lt;X&gt; &gt;("XVec")
.def(vector_indexing_suite&lt;std::vector&lt;X&gt; &gt;())
;
</pre>
<p>
<tt>XVec</tt> is now a full-fledged Python container (see the
<a href="../../test/vector_indexing_suite.cpp">example in full</a>,
along with its <a href="../../test/vector_indexing_suite.py">python
test</a>).
</p>
<hr>
<h2>
<a name="indexing_suite_class"></a>indexing_suite class
</h2>
<h3>
<br>
<tt>indexing_suite&lt;<br>
class Container<br>
, class DerivedPolicies<font color="#007F00"><br>
</font></tt> <tt>,
bool NoProxy<br>
, class Element<br>
, class Key<br>
, class Index</tt>
</h3>
<table width="100%" border="1">
<tr>
<td>
<strong>Template Parameter</strong><br>
</td>
<td>
<strong>Requirements</strong>
</td>
<td>
<strong>Semantics</strong>
</td>
<td>
<strong>Default</strong>
</td>
</tr>
<tr>
<td>
<font color="#007F00"><tt>Container</tt></font>
</td>
<td>
A class type
</td>
<td>
The container type to be wrapped to Python.
</td>
<td>&nbsp;
</td>
</tr>
<tr>
<td>
<font color="#007F00"><tt>DerivedPolicies</tt></font>
</td>
<td>
A subclass of indexing_suite
</td>
<td>
Derived classes provide the policy hooks. See <a href=
"#DerivedPolicies">DerivedPolicies</a> below.
</td>
<td>&nbsp;
</td>
</tr>
<tr>
<td>
<font color="#007F00"><tt>NoProxy</tt></font>
</td>
<td>
A boolean
</td>
<td>
By default indexed elements have Python reference semantics and are
returned by proxy. This can be disabled by supplying
<strong>true</strong> in the <tt>NoProxy</tt> template parameter.
</td>
<td>
false
</td>
</tr>
<tr>
<td>
<font color="#007F00"><tt>Element</tt></font>
</td>
<td>&nbsp;
</td>
<td>
The container's element type.
</td>
<td>
<tt>Container::value_type</tt>
</td>
</tr>
<tr>
<td>
<font color="#007F00"><tt>Key</tt></font>
</td>
<td>&nbsp;
</td>
<td>
The container's key type.
</td>
<td>
<tt>Container::value_type</tt>
</td>
</tr>
<tr>
<td>
<font color="#007F00"><tt>Index</tt></font>
</td>
<td>&nbsp;
</td>
<td>
The container's index type.
</td>
<td>
<tt>Container::size_type</tt>
</td>
</tr>
</table>
<pre>
template &lt;<br> class Container
, class DerivedPolicies
, bool NoProxy = false
, class Element = typename Container::value_type
, class Key = typename Container::value_type
, class Index = typename Container::size_type
&gt;<br> class indexing_suite
: unspecified
{
public:
indexing_suite(); // default constructor
}
</pre>
<h2>
<tt><a name="DerivedPolicies"></a>DerivedPolicies</tt>
</h2>
<dl>
<dd>
Derived classes provide the hooks needed by
the<tt>indexing_suite:</tt>
</dd>
</dl>
<pre>
static element_type&amp;
get_item(Container&amp; container, index_type i);
static object
get_slice(Container&amp; container, index_type from, index_type to);
static void
set_item(Container&amp; container, index_type i, element_type const&amp; v);
static void
set_slice(
Container&amp; container, index_type from,
index_type to, element_type const&amp; v
);
template &lt;class Iter&gt;
static void<br> set_slice(Container&amp; container, index_type from,
index_type to, Iter first, Iter last
);
static void
delete_item(Container&amp; container, index_type i);
static void
delete_slice(Container&amp; container, index_type from, index_type to);
static size_t
size(Container&amp; container);
template &lt;class T&gt;
static bool
contains(Container&amp; container, T const&amp; val);
static index_type
convert_index(Container&amp; container, PyObject* i);
static index_type
adjust_index(index_type current, index_type from,
index_type to, size_type len
);
</pre>
<blockquote>
<p>
Most of these policies are self explanatory. <tt>However,
<strong>convert_index</strong></tt> and
<tt><strong>adjust_index</strong></tt> deserve some explanation.
</p>
<p>
<strong><tt>convert_index</tt></strong> converts a Python index into
a C++ index that the container can handle. For instance, negative
indexes in Python, by convention, start counting from the right(e.g.
<tt>C[-1]</tt> indexes the rightmost element in <tt>C</tt>).
<strong><tt>convert_index</tt></strong> should handle the necessary
conversion for the C++ container (e.g. convert <tt>-1</tt> to
<tt>C.size()-1</tt>). <tt><strong>convert_index</strong></tt> should
also be able to convert the type of the index (A dynamic Python type)
to the actual type that the C++ container expects.
</p>
<p>
When a container expands or contracts, held indexes to its elements
must be adjusted to follow the movement of data. For instance, if we
erase 3 elements, starting from index 0 from a 5 element vector, what
used to be at index 4 will now be at index 1:
</p>
<pre>
[a][b][c][d][e] ---&gt; [d][e]
^ ^
4 1
</pre>
<p>
<strong><tt>adjust_index</tt></strong> takes care of the adjustment.
Given a current index, the function should return the adjusted index
when data in the container at index <tt>from</tt>..<tt>to</tt> is
replaced by <tt>len</tt> elements.
</p>
</blockquote>
<div>
<hr>
<h2>
<a name="vector_indexing_suite_class"></a>vector_indexing_suite class
</h2>
<h3>
Class template <tt><br>
vector_indexing_suite&lt;<br>
class <font color="#007F00">Container</font><br>
, bool <font color="#007F00">NoProxy</font><br>
, class <font color="#007F00">DerivedPolicies</font>&gt;</tt>
</h3>
<table width="100%" border="1">
<tr>
<td>
<strong>Template Parameter</strong><br>
</td>
<td>
<strong>Requirements</strong>
</td>
<td>
<strong>Semantics</strong>
</td>
<td>
<strong>Default</strong>
</td>
</tr>
<tr>
<td>
<font color="#007F00"><tt>Container</tt></font>
</td>
<td>
A class type
</td>
<td>
The container type to be wrapped to Python.
</td>
<td>&nbsp;
</td>
</tr>
<tr>
<td>
<font color="#007F00"><tt>NoProxy</tt></font>
</td>
<td>
A boolean
</td>
<td>
By default indexed elements have Python reference semantics and
are returned by proxy. This can be disabled by supplying
<strong>true</strong> in the <tt>NoProxy</tt> template parameter.
</td>
<td>
false
</td>
</tr>
<tr>
<td>
<font color="#007F00"><tt>DerivedPolicies</tt></font>
</td>
<td>
A subclass of indexing_suite
</td>
<td>
The <tt>vector_indexing_suite</tt> may still be derived to
further tweak any of the predefined policies. Static polymorphism
through CRTP (James Coplien. "Curiously Recurring Template
Pattern". C++ Report, Feb. 1995) enables the base
<tt>indexing_suite</tt> class to call policy function of the most
derived class
</td>
<td>&nbsp;
</td>
</tr>
</table>
<pre>
template &lt;<br> class Container,<br> bool NoProxy = false,<br> class DerivedPolicies = unspecified_default<br> class vector_indexing_suite<br> : public indexing_suite&lt;Container, DerivedPolicies, NoProxy&gt;<br> {<br> public:<br><br> typedef typename Container::value_type element_type;<br> typedef typename Container::value_type key_type;<br> typedef typename Container::size_type index_type;<br> typedef typename Container::size_type size_type;<br> typedef typename Container::difference_type difference_type;<br> <br> static element_type&amp;<br> get_item(Container&amp; container, index_type i);
static object
get_slice(Container&amp; container, index_type from, index_type to);
static void<br> set_item(Container&amp; container, index_type i, element_type const&amp; v);
static void
set_slice(Container&amp; container, index_type from,
index_type to, element_type const&amp; v);
template &lt;class Iter&gt;<br> static void<br> set_slice(Container&amp; container, index_type from,<br> index_type to, Iter first, Iter last);
static void
delete_item(Container&amp; container, index_type i);
static void
delete_slice(Container&amp; container, index_type from, index_type to);<br>
static size_t
size(Container&amp; container);
static bool
contains(Container&amp; container, key_type const&amp; key);
static index_type
convert_index(Container&amp; container, PyObject* i);
static index_type
adjust_index(index_type current, index_type from,
index_type to, size_type len);
};
</pre>
<hr>
&copy; Copyright Joel de Guzman 2003. Permission to copy, use, modify,
sell and distribute this document is granted provided this copyright
notice appears in all copies. This document is provided "as is" without
express or implied warranty, and with no claim as to its suitability
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<h2 align="center">Headers &lt;boost/python/init.hpp&gt;</h2>
</td>
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</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href=
"#init-expressions"><em>init-expressions</em></a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#init-spec">Class template <code>init</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#init-spec-synopsis">Class template
<code>init</code> synopsis</a></dt>
<dt><a href="#init-spec-ctors">Class <code>init</code>
constructors</a></dt>
</dl>
</dd>
<dt><a href="#optional-spec">Class template
<code>optional</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#optional-spec-synopsis">Class template
<code>optional</code> synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/init.hpp&gt;</code> defines the interface for
exposing C++ constructors to Python as extension class
<code>__init__</code> functions.</p>
<h2><a name="init-expressions"><em>init-expressions</em></a></h2>
An <em>init-expression</em> is used to describe a family of
<code>__init__</code> methods to be generated for an extension class, and
the result has the following properties:
<blockquote>
<dl class="properties">
<dt><b>docstring:</b> An <a href="definitions.html#ntbs">ntbs</a>
whose value will bound to the method's <code>__doc__</code>
attribute</dt>
<dt><b>keywords:</b> A <a href=
"args.html#keyword-expression">keyword-expression</a> which will be
used to name (a trailing subsequence of) the arguments to the
generated <code>__init__</code> function(s).</dt>
<dt><b>call policies:</b> An instance of a model of <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>argument types:</b> An MPL sequence of C++ argument types
which will be used to construct the wrapped C++ object. An init
expression has one or more
<b>valid prefixes</b> which are given by a sequence of
prefixes of its argument types.</dt>
</dl>
</blockquote>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="init-spec"></a>Class template <code>init&lt;T1 =</code>
<i>unspecified</i><code>,&nbsp;T2 =</code>
<i>unspecified</i><code>,</code>...<code>Tn</code> =
<i>unspecified</i><code>&gt;</code></h3>
<p>A <a href="../../../mpl/doc/refmanual/forward-sequence.html">MPL sequence</a> which
can be used to specify a family of one or more <code>__init__</code>
functions. Only the last <code>T</code><i><small>i</small></i> supplied
may be an instantiation of <a href=
"#optional-spec"><code>optional</code></a><code>&lt;</code>...<code>&gt;</code>.</p>
<h4><a name="init-spec-synopsis"></a>Class template <code>init</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;T1 = <i>unspecified</i>,...T<i>n</i> = <i>unspecified</i>&gt;
struct init
{
init(char const* doc = 0);
template &lt;class Keywords&gt; init(Keywords const&amp; kw, char const* doc = 0);
template &lt;class Keywords&gt; init(char const* doc, Keywords const&amp; kw);
template &lt;class CallPolicies&gt;
<em>unspecified</em> operator[](CallPolicies const&amp; policies) const
};
}}
</pre>
<h4><a name="init-spec-ctors"></a>Class template <code>init</code>
constructors</h4>
<pre>
init(char const* doc = 0);
template &lt;class Keywords&gt; init(Keywords const&amp; kw, char const* doc = 0);
template &lt;class Keywords&gt; init(char const* doc, Keywords const&amp; kw);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> If supplied, <code>doc</code> is an <a href=
"definitions.html#ntbs">ntbs</a>. If supplied, <code>kw</code> is the
result of a <a href="args.html#keyword-expression"></a></dt>
<dt><b>Effects:</b> The result is an <em>init-expression</em> whose
<em>docstring</em> is <code>doc</code> and whose <em>keywords</em> are
a reference to <code>kw</code>. If the first form is used, the
resulting expression's <em>keywords</em> are empty. The expression's
<em>call policies</em> are an instance of <a href=
"default_call_policies.html#default_call_policies-spec">default_call_policies</a>.
If <code>T</code><i><small>n</small></i> is <a href=
"#optional-spec"><code>optional</code></a><code>&lt;U1,&nbsp;U2,</code>...
<code>U</code><small><i>m</i></small><code>&gt;</code>, the
expression's <em>valid prefixes</em> are given by:</dt>
<dd>
<blockquote>
(<code>T1,&nbsp;T2,</code>...<code>T</code><i><small>n-1</small></i>),
(<code>T1,&nbsp;T2,</code>...<code>T</code><i><small>n-1</small></i>
<code>,&nbsp;U1</code>),
(<code>T1,&nbsp;T2,</code>...<code>T</code><i><small>n-1</small></i>
<code>,&nbsp;U1,&nbsp;U2</code>),
...(<code>T1,&nbsp;T2,</code>...<code>T</code><i><small>n-1</small></i>
<code>,&nbsp;U1,&nbsp;U2,</code>...<code>U</code><i><small>m</small></i>).
</blockquote>
Otherwise, the expression has one <em>valid prefix</em> given by the
the template arguments the user specified.
</dd>
</dl>
<h4><a name="init-spec-observers"></a>Class template <code>init</code>
observer functions</h4>
<pre>
template &lt;class Policies&gt;
<em>unspecified</em> operator[](Policies const&amp; policies) const
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> Policies is a model of <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>Effects:</b> Returns a new <a href=
"#init-expressions"><em>init-expression</em></a> with all the same
properties as the <code>init</code> object except that its <em>call
policies</em> are replaced by a reference to
<code>policies</code>.</dt>
</dl>
<h3><a name="optional-spec"></a>Class template <code>optional&lt;T1
=</code> <i>unspecified</i><code>,&nbsp;T2 =</code>
<i>unspecified</i><code>,</code>...<code>Tn</code> =
<i>unspecified</i><code>&gt;</code></h3>
<p>A <a href="../../../mpl/doc/refmanual/forward-sequence.html">MPL sequence</a> which
can be used to specify the optional arguments to an <code>__init__</code>
function.</p>
<h4><a name="optional-spec-synopsis"></a>Class template
<code>optional</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;T1 = <i>unspecified</i>,...T<i>n</i> = <i>unspecified</i>&gt;
struct optional {};
}}
</pre>
<h2><a name="examples"></a>Example(s)</h2>
<p>Given the C++ declarations:</p>
<pre>
class Y;
class X
{
public:
X(int x, Y* y) : m_y(y) {}
X(double);
private:
Y* m_y;
};
</pre>
A corresponding Boost.Python extension class can be created with:
<pre>
using namespace boost::python;
class_&lt;X&gt;("X", "This is X's docstring.",
init&lt;int,char const*&gt;(args("x","y"), "X.__init__'s docstring")[
with_custodian_and_ward&lt;1,3&gt;()]
)
.def(init&lt;double&gt;())
;
</pre>
<hr>
Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a>
<dt><a href="#classes">Classes</a>
<dd>
<dl class="page-index">
<dt><a href="#instance_holder-spec">Class
<code>instance_holder</code></a>
<dd>
<dl class="page-index">
<dt><a href="#instance_holder-spec-synopsis">Class
<code>instance_holder</code> synopsis</a>
<dt><a href="#instance_holder-spec-ctors">Class
<code>instance_holder</code> destructor</a>
<dt><a href="#instance_holder-spec-modifiers">Class
<code>instance_holder</code> modifier functions</a>
<dt><a href="#instance_holder-spec-observers">Class
<code>instance_holder</code> observer functions</a>
</dl>
</dl>
<dt><a href="#examples">Example</a>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/instance_holder.hpp&gt;</code> provides
<code>class&nbsp;instance_holder</code>, the base class for types
which hold C++ instances of wrapped classes.
<h2><a name="classes"></a>Classes</h2>
<h3><a name="instance_holder-spec"></a>Class <code>instance_holder</code></h3>
<p><code>instance_holder</code> is an abstract base class whose
concrete derived classes hold C++ class instances within their
Python object wrappers. To allow multiple inheritance in Python
from C++ class wrappers, each such Python object contains a chain
of <code>instance_holder</code>s. When an <code>__init__</code>
function for a wrapped C++ class is invoked, a new
<code>instance_holder</code> instance is created and installed in
the Python object using its <code><a
href="#instance_holder-spec-modifiers">install</a></code>()
function. Each concrete class derived from
<code>instance_holder</code> must provide a <code><a
href="#instance_holder-spec-observers">holds</a>()</code>
implementation which allows Boost.Python to query it for the
type(s) it is holding. In order to support the held type's wrapped
constructor(s), the class must also provide constructors that can
accept an initial <code>PyObject*</code> argument referring to the
owning Python object, and which forward the rest of their
arguments to the constructor of the held type. The initial
argument is needed to enable virtual function overriding in
Python, and may be ignored, depending on the specific
<code>instance_holder</code> subclass.
<h4><a name="instance_holder-spec-synopsis"></a>Class instance_holder
synopsis</h4>
<pre>
namespace boost { namespace python
{
class instance_holder : <a href="../../../utility/utility.htm#Class_noncopyable">noncopyable</a>
{
public:
// destructor
virtual ~instance_holder();
// instance_holder modifiers
void install(PyObject* inst) throw();
// instance_holder observers
virtual void* holds(type_info) = 0;
};
}}
</pre>
<h4><a name="instance_holder-spec-ctors">Class <code>instance_holder</code>
destructor</a></h4>
<pre>
virtual ~instance_holder();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> destroys the object
</dl>
<h4><a name="instance_holder-spec-modifiers">Class
<code>instance_holder</code> modifiers</a></h4>
<pre>
void install(PyObject* inst) throw();
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>inst</code> is a Python instance of a
wrapped C++ class type, or is a type derived from a wrapped C++
class type.
<dt><b>Effects:</b> installs the new instance at the head of the
Python object's chain of held instances.
<dt><b>Throws:</b> nothing
</dl>
<h4><a name="instance_holder-spec-observers">Class <code>instance_holder</code>
observers</a></h4>
<pre>
virtual void* holds(type_info x) = 0;
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> A pointer to an object of the type described
by <code>x</code> if <code>*this</code> contains such an object,
0 otherwise.
</dl>
<h2><a name="examples"></a>Example</h2>
The following is a simplified version of the instance holder template
used by Boost.Python to wrap classes held by smart pointers:
<pre>
template &lt;class SmartPtr, class Value&gt;
struct pointer_holder : instance_holder
{
// construct from the SmartPtr type
pointer_holder(SmartPtr p)
:m_p(p)
// Forwarding constructors for the held type
pointer_holder(PyObject*)
:m_p(new Value())
{
}
template&lt;class A0&gt;
pointer_holder(PyObject*,A0 a0)
:m_p(new Value(a0))
{
}
template&lt;class A0,class A1&gt;
pointer_holder(PyObject*,A0 a0,A1 a1)
:m_p(new Value(a0,a1))
{
}
...
private: // required holder implementation
void* holds(type_info dst_t)
{
// holds an instance of the SmartPtr type...
if (dst_t == python::type_id&lt;SmartPtr&gt;())
return &amp;this-&gt;m_p;
// ...and an instance of the SmartPtr's element_type, if the
// pointer is non-null
return python::type_id&lt;Value&gt;() == dst_t ? &amp;*this-&gt;m_p : 0;
}
private: // data members
SmartPtr m_p;
};
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<p class="c4">&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.
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<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/iterator.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#iterator-spec">Class template
<code>iterator</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#iterator-spec-synopsis">Class
<code>iterator</code> synopsis</a></dt>
<dt><a href="#iterator-spec-constructors">Class template
<code>iterator</code> constructor</a></dt>
</dl>
</dd>
</dl>
<dl class="page-index">
<dt><a href="#iterators-spec">Class template
<code>iterators</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#iterators-spec-synopsis">Class
<code>iterators</code> synopsis</a></dt>
<dt><a href="#iterators-spec-types">Class template
<code>iterators</code> nested types</a></dt>
<dt><a href="#iterators-spec-statics">Class template
<code>iterators</code> static functions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#range-spec">range</a></dt>
</dl>
</dd>
<dt><a href="#examples">Examples</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/iterator.hpp&gt;</code> provides types and
functions for creating <a href=
"http://www.python.org/doc/current/lib/typeiter.html">Python
iterators</a> from <a href=
"http://www.sgi.com/tech/stl/Container.html">C++ Containers</a> and <a
href="http://www.sgi.com/tech/stl/Iterators.html">Iterators</a>. Note
that if your <code>class_</code> supports random-access iterators,
implementing <code><a href=
"http://www.python.org/doc/current/ref/sequence-types.html#l2h-128">__getitem__</a></code>
(also known as the Sequence Protocol) may serve you better than using
this facility: Python will automatically create an iterator type for you
(see <a href=
"http://www.python.org/doc/current/lib/built-in-funcs.html#l2h-35">iter()</a>),
and each access can be range-checked, leaving no possiblity of accessing
through an invalidated C++ iterator.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="iterator-spec"></a>Class Template <code>iterator</code></h3>
<p>Instances of <code>iterator&lt;C,P&gt;</code> hold a reference to a
callable Python object which, when invoked from Python, expects a single
argument <code>c</code> convertible to <code>C</code> and creates a
Python iterator that traverses [<code>c.begin()</code>,
<code>c.end()</code>). The optional <a href=
"CallPolicies.html">CallPolicies</a> <code>P</code> can be used to
control how elements are returned during iteration.</p>
<p>In the table below, <code><b>c</b></code> is an instance of
<code>Container</code>.</p>
<table border="1" summary="iterator template parameters">
<tr>
<th>Template Parameter</th>
<th>Requirements</th>
<th>Semantics</th>
<th>Default</th>
</tr>
<tr>
<td><code>Container</code></td>
<td>[c.begin(),c.end()) is a valid <a href=
"http://www.sgi.com/tech/stl/Iterators.html">Iterator range</a>.</td>
<td>The result will convert its argument to <code>c</code> and call
<code>c.begin()</code> and <code>c.end()</code> to acquire iterators.
To invoke <code>Container</code>'s <code>const</code>
<code>begin()</code> and <code>end()</code> functions, make it
<code>const</code>.</td>
</tr>
<tr>
<td><code>NextPolicies</code></td>
<td>A default-constructible model of <a href=
"CallPolicies.html#CallPolicies-concept">CallPolicies</a>.</td>
<td>Applied to the resulting iterators' <code>next()</code>
method.</td>
<td>An unspecified model of <a href=
"CallPolicies.html#CallPolicies-concept">CallPolicies</a> which
always makes a copy of the result of deferencing the underlying C++
iterator</td>
</tr>
</table>
<h4><a name="iterator-spec-synopsis"></a>Class Template iterator
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class Container
, class NextPolicies = <i>unspecified</i>&gt;
struct iterator : <a href="object.html#object-spec">object</a>
{
iterator();
};
}}
</pre>
<h4><a name="iterator-spec-constructors"></a>Class Template iterator
constructor</h4>
<pre>
iterator()
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b></dt>
<dd>
Initializes its base class with the result of:
<pre>
range&lt;NextPolicies&gt;(&amp;iterators&lt;Container&gt;::begin, &amp;iterators&lt;Container&gt;::end)
</pre>
</dd>
<dt><b>Postconditions:</b> <code>this-&gt;get()</code> points to a
Python callable object which creates a Python iterator as described
above.</dt>
<dt><b>Rationale:</b> Provides an easy way to create iterators for the
common case where a C++ class being wrapped provides
<code>begin()</code> and <code>end()</code>.</dt>
</dl>
<!-- -->
<h3><a name="iterators-spec"></a>Class Template
<code>iterators</code></h3>
<p>A utility class template which provides a way to reliably call its
argument's <code>begin()</code> and <code>end()</code> member functions.
Note that there is no portable way to take the address of a member
function of a C++ standard library container, so
<code>iterators&lt;&gt;</code> can be particularly helpful when wrapping
them.</p>
<p>In the table below, <code><b>x</b></code> is an instance of
<code>C</code>.</p>
<table border="1" summary="iterator template parameters">
<tr>
<th>Required Valid Expression</th>
<th>Type</th>
</tr>
<tr>
<td><code>x.begin()</code></td>
<td>Convertible to <code>C::const_iterator</code> if <code>C</code>
is a <code>const</code> type; convertible to <code>C::iterator</code>
otherwise.</td>
</tr>
<tr>
<td><code>x.end()</code></td>
<td>Convertible to <code>C::const_iterator</code> if <code>C</code>
is a <code>const</code> type; convertible to <code>C::iterator</code>
otherwise.</td>
</tr>
</table>
<h4><a name="iterators-spec-synopsis"></a>Class Template iterators
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class C&gt;
struct iterators
{
typedef typename C::[const_]iterator iterator;
static iterator begin(C&amp; x);
static iterator end(C&amp; x);
};
}}
</pre>
<h4><a name="iterators-spec-types"></a>Class Template iterators nested
types</h4>
If C is a <code>const</code> type,
<pre>
typedef typename C::const_iterator iterator;
</pre>
Otherwise:
<pre>
typedef typename C::iterator iterator;
</pre>
<h4><a name="iterators-spec-statics"></a>Class Template iterators static
functions</h4>
<pre>
static iterator begin(C&amp;);
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>x.begin()</code></dt>
</dl>
<pre>
static iterator end(C&amp;);
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>x.end()</code></dt>
</dl>
<!-- -->
<h2><a name="functions"></a>Functions</h2>
<pre>
<a name=
"range-spec">template</a> &lt;class NextPolicies, class Target, class Accessor1, class Accessor2&gt;
<a href=
"object.html#object-spec">object</a> range(Accessor1 start, Accessor2 finish);
template &lt;class NextPolicies, class Accessor1, class Accessor2&gt;
<a href=
"object.html#object-spec">object</a> range(Accessor1 start, Accessor2 finish);
template &lt;class Accessor1, class Accessor2&gt;
<a href=
"object.html#object-spec">object</a> range(Accessor1 start, Accessor2 finish);
</pre>
<dl class="range-semantics">
<dt><b>Requires:</b> <code>NextPolicies</code> is a
default-constructible model of <a href=
"CallPolicies.html#CallPolicies-concept">CallPolicies</a>.</dt>
<dt><b>Effects:</b></dt>
<dd>
<dl>
<dt>The first form creates a Python callable object which, when
invoked, converts its argument to a <code>Target</code> object
<code>x</code>, and creates a Python iterator which traverses
[<code><a href=
"../../../bind/bind.html">bind</a>(start,_1)(x)</code>,&nbsp;<code><a
href="../../../bind/bind.html">bind</a>(finish,_1)(x)</code>),
applying <code>NextPolicies</code> to the iterator's
<code>next()</code> function.</dt>
<dt>The second form is identical to the first, except that
<code>Target</code> is deduced from <code>Accessor1</code> as
follows:</dt>
<dd>
<ol>
<li>If <code>Accessor1</code> is a function type,
<code>Target</code> is the type of its first argument.</li>
<li>If <code>Accessor1</code> is a data member pointer of the
form <code>R&nbsp;(T::*)</code>, <code>Target</code> is
identical to <code>T</code>.</li>
<li>If <code>Accessor1</code> is a member function pointer of
the form
<code>R&nbsp;(T::*)(</code><i>arguments...</i><code>)</code>&nbsp;
<i>cv-opt</i>, where <i>cv-opt</i> is an optional
<code>cv-qualifier</code>, <code>Target</code> is identical to
<code>T</code>.</li>
</ol>
</dd>
<dt>The third form is identical to the second, except that
<code>NextPolicies</code> is an unspecified model of <a href=
"CallPolicies.html#CallPolicies-concept">CallPolicies</a> which
always makes a copy of the result of deferencing the underlying C++
iterator</dt>
</dl>
</dd>
<dt><b>Rationale:</b> The use of <code><a href=
"../../../bind/bind.html">boost::bind</a>()</code> allows C++ iterators
to be accessed through functions, member functions or data member
pointers. Customization of <code>NextPolicies</code> (e.g. using
<code><a href=
"return_internal_reference.html#return_internal_reference-spec">return_internal_reference</a></code>)
is useful when it is expensive to copy sequence elements of a wrapped
class type. Customization of <code>Target</code> is useful when
<code>Accessor1</code> is a function object, or when a base class of
the intended target type would otherwise be deduced.</dt>
</dl>
<h2><a name="examples"></a>Examples</h2>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
#include &lt;vector&gt;
using namespace boost::python;
BOOST_PYTHON_MODULE(demo)
{
class_&lt;std::vector&lt;double&gt; &gt;("dvec")
.def("__iter__", iterator&lt;std::vector&lt;double&gt; &gt;())
;
}
</pre>
A more comprehensive example can be found in:
<dl>
<dt><code><a href=
"../../test/iterator.cpp">libs/python/test/iterator.cpp</a></code></dt>
<dt><code><a href=
"../../test/input_iterator.cpp">libs/python/test/input_iterator.cpp</a></code></dt>
<dt><code><a href=
"../../test/iterator.py">libs/python/test/input_iterator.py</a></code></dt>
</dl>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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<h2 align="center">Header &lt;boost/python/list.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#list-spec">Class <code>list</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#list-spec-synopsis">Class <code>list</code>
synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> for the Python
<a href=
"http://www.python.org/doc/current/lib/typesseq-mutable.html">list</a>
type.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="list-spec"></a>Class <code>list</code></h3>
<p>Exposes the <a href=
"http://www.python.org/doc/current/lib/typesseq-mutable.html">mapping
protocol</a> of Python's built-in <code>list</code> type. The semantics
of the constructors and member functions defined below can be fully
understood by reading the <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> concept
definition. Since <code>list</code> is publicly derived from <code><a
href="object.html#object-spec">object</a></code>, the public object
interface applies to <code>list</code> instances as well.</p>
<h4><a name="list-spec-synopsis"></a>Class <code>list</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
class list : public object
{
public:
list(); // new list
template &lt;class T&gt;
explicit list(T const&amp; sequence);
template &lt;class T&gt;
void append(T const&amp; x);
template &lt;class T&gt;
long count(T const&amp; value) const;
template &lt;class T&gt;
void extend(T const&amp; x);
template &lt;class T&gt;
long index(T const&amp; x) const;
template &lt;class T&gt;
void insert(object const&amp; index, T const&amp; x); // insert object before index
object pop(); // remove and return item at index (default last)
object pop(long index);
object pop(object const&amp; index);
template &lt;class T&gt;
void remove(T const&amp; value);
void reverse(); // reverse *IN PLACE*
void sort(); // sort *IN PLACE*; if given, cmpfunc(x, y) -&gt; -1, 0, 1
template &lt;class T&gt;
void sort(T const&amp; value);
};
}}
</pre>
<h2><a name="examples"></a>Example</h2>
<pre>
using namespace boost::python;
// Return the number of zeroes in the list
long zeroes(list l)
{
return l.count(0);
}
</pre>
<p>Revised 1 October, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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<h2 align="center">Header &lt;boost/python/long.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#long_-spec">Class <code>long_</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#long_-spec-synopsis">Class <code>long_</code>
synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> for the Python
<a href=
"http://www.python.org/doc/current/lib/typesnumeric.html">long</a>
integer type.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="long_-spec"></a>Class <code>long_</code></h3>
<p>Exposes the <a href=
"http://www.python.org/doc/current/lib/typesnumeric.html">numeric type
protocol</a> of Python's built-in <code>long</code> type. The semantics
of the constructors and member functions defined below can be fully
understood by reading the <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> concept
definition. Since <code>long_</code> is publicly derived from <code><a
href="object.html#object-spec">object</a></code>, the public object
interface applies to <code>long_</code> instances as well.</p>
<h4><a name="long_-spec-synopsis"></a>Class <code>long_</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
class long_ : public object
{
public:
long_(); // new long_
template &lt;class T&gt;
explicit long_(T const&amp; rhs);
template &lt;class T, class U&gt;
long_(T const&amp; rhs, U const&amp; base);
};
}}
</pre>
<h2><a name="examples"></a>Example</h2>
<pre>
namespace python = boost::python;
// compute a factorial without overflowing
python::long_ fact(long n)
{
if (n == 0)
return python::long_(1);
else
return n * fact(n - 1);
}
</pre>
<p>Revised 1 October, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
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</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header
&lt;boost/python/lvalue_from_pytype.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#lvalue_from_pytype-spec">Class Template
<code>lvalue_from_pytype</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#lvalue_from_pytype-spec-synopsis">Class Template
<code>lvalue_from_pytype</code> synopsis</a></dt>
<dt><a href="#lvalue_from_pytype-spec-ctors">Class Template
<code>lvalue_from_pytype</code> constructor</a></dt>
</dl>
</dd>
</dl>
<dl class="page-index">
<dt><a href="#extract_identity-spec">Class Template
<code>extract_identity</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#extract_identity-spec-synopsis">Class Template
<code>extract_identity</code> synopsis</a></dt>
<dt><a href="#extract_identity-spec-statics">Class Template
<code>extract_identity</code> static functions</a></dt>
</dl>
</dd>
<dt><a href="#extract_member-spec">Class Template
<code>extract_member</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#extract_member-spec-synopsis">Class Template
<code>extract_member</code> synopsis</a></dt>
<dt><a href="#extract_member-spec-statics">Class Template
<code>extract_member</code> static functions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<code>&lt;boost/python/lvalue_from_pytype.hpp&gt;</code> supplies a
facility for extracting C++ objects from within Python instances of a
given type. This is typically useful for dealing with "traditional"
Python extension types.
<h2><a name="classes"></a>Classes</h2>
<h3><a name="lvalue_from_pytype-spec"></a>Class template
<code>lvalue_from_pytype</code></h3>
<p>Class template <code>lvalue_from_pytype</code> will register
from_python converters which, given an object of the given Python type,
can extract references and pointers to a particular C++ type. Its
template arguments are:</p>
<table border="1" summary="lvalue_from_pytype template parameters">
<caption>
<b><code>lvalue_from_pytype</code> Requirements</b><br>
In the table below, <b><code>x</code></b> denotes an object of type
<code>PythonObject&amp;</code>
</caption>
<tr>
<th>Parameter</th>
<th>Requirements</th>
<th>Semantics</th>
</tr>
<tr>
<td><code>Extractor</code></td>
<td>a model of <a href=
"Extractor.html#Extractor-concept">Extractor</a> whose execute
function returns a reference type.</td>
<td>Extracts the lvalue from the Python object once its type has been
confirmed</td>
</tr>
<tr>
<td><code>python_type</code></td>
<td>A compile-time constant <code><a href=
"http://www.python.org/doc/2.2/ext/dnt-type-methods.html">PyTypeObject</a>*</code></td>
<td>The Python type of instances convertible by this converter.
Python subtypes are also convertible.</td>
</tr>
</table>
<h4><a name="lvalue_from_pytype-spec-synopsis"></a>Class template
<code>lvalue_from_pytype</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class Extractor, PyTypeObject const* python_type&gt;
struct lvalue_from_pytype
{
lvalue_from_pytype();
};
}}
</pre>
<h4><a name="lvalue_from_pytype-spec-ctors"></a>Class template
<code>lvalue_from_pytype</code> constructor</h4>
<pre>
lvalue_from_pytype();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> Registers converters which can convert Python
objects of the given type to lvalues of the type returned by
<code>Extractor::execute</code>.</dt>
</dl>
<h3><a name="extract_identity-spec"></a>Class template
<code>extract_identity</code></h3>
<p><code>extract_identity</code> is a model of <a href=
"Extractor.html#Extractor-concept">Extractor</a> which can be used in the
common case where the C++ type to be extracted is the same as the Python
object type.</p>
<h4><a name="extract_identity-spec-synopsis"></a>Class template
<code>extract_identity</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class InstanceType&gt;
struct extract_identity
{
static InstanceType&amp; execute(InstanceType&amp; c);
};
}}
</pre>
<h4><a name="extract_identity-spec-statics"></a>Class template
<code>extract_identity</code> static functions</h4>
<pre>
InstanceType&amp; execute(InstanceType&amp; c);
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>c</code></dt>
</dl>
<h3><a name="extract_member-spec"></a>Class template
<code>extract_member</code></h3>
<p><code>extract_member</code> is a model of <a href=
"Extractor.html#Extractor-concept">Extractor</a> which can be used in the
common case in the common case where the C++ type to be extracted is a
member of the Python object.</p>
<h4><a name="extract_member-spec-synopsis"></a>Class template
<code>extract_member</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class InstanceType, class MemberType, MemberType (InstanceType::*member)&gt;
struct extract_member
{
static MemberType&amp; execute(InstanceType&amp; c);
};
}}
</pre>
<h4><a name="extract_member-spec-statics"></a>Class template
<code>extract_member</code> static functions</h4>
<pre>
static MemberType&amp; execute(InstanceType&amp; c);
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>c.*member</code></dt>
</dl>
<h2><a name="examples"></a>Example</h2>
This example presumes that someone has implemented the standard <a href=
"http://www.python.org/doc/2.2/ext/dnt-basics.html">noddy example
module</a> from the Python documentation, and we want to build a module
which manipulates <code>Noddy</code>s. Since
<code>noddy_NoddyObject</code> is so simple that it carries no
interesting information, the example is a bit contrived: it assumes you
want to keep track of one particular object for some reason. This module
would have to be dynamically linked to the module which defines
<code>noddy_NoddyType</code>.
<h3>C++ module definition</h3>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/handle.hpp&gt;
#include &lt;boost/python/borrowed.hpp&gt;
#include &lt;boost/python/lvalue_from_pytype.hpp&gt;
// definition lifted from the Python docs
typedef struct {
PyObject_HEAD
} noddy_NoddyObject;
using namespace boost::python;
static handle&lt;noddy_NoddyObject&gt; cache;
bool is_cached(noddy_NoddyObject* x)
{
return x == cache.get();
}
void set_cache(noddy_NoddyObject* x)
{
cache = handle&lt;noddy_NoddyObject&gt;(borrowed(x));
}
BOOST_PYTHON_MODULE(noddy_cache)
{
def("is_cached", is_cached);
def("set_cache", set_cache);
// register Noddy lvalue converter
lvalue_from_pytype&lt;extract_identity&lt;noddy_NoddyObject&gt;,&amp;noddy_NoddyType&gt;();
}
</pre>
<h3>Python code</h3>
<pre>
&gt;&gt;&gt; import noddy
&gt;&gt;&gt; n = noddy.new_noddy()
&gt;&gt;&gt; import noddy_cache
&gt;&gt;&gt; noddy_cache.is_cached(n)
0
&gt;&gt;&gt; noddy_cache.set_cache(n)
&gt;&gt;&gt; noddy_cache.is_cached(n)
1
&gt;&gt;&gt; noddy_cache.is_cached(noddy.new_noddy())
0
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
20 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
</html>

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<head>
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<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/make_function.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header
&lt;boost/python/make_function.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#make_function-spec">make_function</a></dt>
<dt><a href="#make_constructor-spec">make_constructor</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code><a href="#make_function-spec">make_function</a>()</code> and
<code><a href="#make_constructor-spec">make_constructor</a>()</code> are
the functions used internally by <code><a href=
"def.html#def-spec">def</a>()</code> and <code>class_&lt;&gt;::<a href=
"class.html#class_-spec-modifiers">def</a>()</code> to produce Python
callable objects which wrap C++ functions and member functions.</p>
<h2><a name="functions"></a>Functions</h2>
<pre>
<a name="make_function-spec">template &lt;class F&gt;</a>
<a href="object.html#object-spec">object</a> make_function(F f)
template &lt;class F, class Policies&gt;
<a href=
"object.html#object-spec">object</a> make_function(F f, Policies const&amp; policies)
template &lt;class F, class Policies, class KeywordsOrSignature&gt;
<a href=
"object.html#object-spec">object</a> make_function(F f, Policies const&amp; policies, KeywordsOrSignature const&amp; ks)
template &lt;class F, class Policies, class Keywords, class Signature&gt;
<a href=
"object.html#object-spec">object</a> make_function(F f, Policies const&amp; policies, Keywords const&amp; kw, Signature const&amp; sig)
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>F</code> is a function pointer or member
function pointer type. If <code>policies</code> are supplied, it must
be a model of <a href="CallPolicies.html">CallPolicies</a>. If
<code>kewords</code> are supplied, it must be the result of a <a href=
"args.html#keyword-expression"><em>keyword-expression</em></a>
specifying no more arguments than the <a href=
"definitions.html#arity">arity</a> of <code>f</code>.</dt>
<dt><b>Effects:</b> Creates a Python callable object which, when called
from Python, converts its arguments to C++ and calls <code>f</code>. If
<code>F</code> is a pointer-to-member-function type, the target
object of the function call (<code>*this</code>) will be taken
from the first Python argument, and subsequent Python arguments
will be used as the arguments
to <code>f</code>. <ul>
<li> If <code>policies</code> are supplied, it
will be applied to the function as described <a href=
"CallPolicies.html">here</a>.
<li>If <code>keywords</code> are
supplied, the keywords will be applied in order to the final
arguments of the resulting function.
<li>If <code>Signature</code>
is supplied, it should be an instance of an <a
href="../../../mpl/doc/refmanual/front-extensible-sequence.html">MPL front-extensible
sequence</a> representing the function's return type followed by
its argument types. Pass a <code>Signature</code> when wrapping
function object types whose signatures can't be deduced, or when
you wish to override the types which will be passed to the
wrapped function.
</ul></dt>
<dt><b>Returns:</b> An instance of <a href=
"object.html#object-spec">object</a> which holds the new Python
callable object.</dt>
<dt><b>Caveats:</b> An argument of pointer type may
be <code>0</code> if <code>None</code> is passed from Python.
An argument type which is a constant reference may refer to a
temporary which was created from the Python object for just the
duration of the call to the wrapped function, for example
a <code>std::vector</code> conjured up by the conversion process
from a Python list. Use a non-<code>const</code> reference
argument when a persistent lvalue is required.
</dl>
<pre>
<a name=
"make_constructor-spec"></a>template &lt;class T, class ArgList, class Generator&gt;
<a href="object.html#object-spec">object</a> make_constructor();
template &lt;class ArgList, class Generator, class Policies&gt;
<a href=
"object.html#object-spec">object</a> make_constructor(Policies const&amp; policies)
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>T</code> is a class type.
<code>Policies</code> is a model of <a href=
"CallPolicies.html">CallPolicies</a>. <code>ArgList</code> is an <a
href="../../../mpl/doc/refmanual/forward-sequence.html">MPL sequence</a> of C++ argument
types (<i>A1,&nbsp;A2,...&nbsp;AN</i>) such that if
<code>a1,&nbsp;a2</code>...&nbsp;<code>aN</code> are objects of type
<i>A1,&nbsp;A2,...&nbsp;AN</i> respectively, the expression <code>new
Generator::apply&lt;T&gt;::type(a1,&nbsp;a2</code>...&nbsp;<code>aN</code>)
is valid. Generator is a model of <a href=
"HolderGenerator.html">HolderGenerator</a>.</dt>
<dt><b>Effects:</b> Creates a Python callable object which, when called
from Python, expects its first argument to be a Boost.Python extension
class object. It converts its remaining its arguments to C++ and passes
them to the constructor of a dynamically-allocated
<code>Generator::apply&lt;T&gt;::type</code> object, which is then
installed in the extension class object. In the second form, the
<code>policies</code> are applied to the arguments and result (<a href=
"http://www.python.org/doc/current/lib/bltin-null-object.html">None</a>)
of the Python callable object</dt>
<dt><b>Returns:</b> An instance of <a href=
"object.html#object-spec">object</a> which holds the new Python
callable object.</dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<p>C++ function exposed below returns a callable object wrapping one of
two functions.</p>
<pre>
#include &lt;boost/python/make_function.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
char const* foo() { return "foo"; }
char const* bar() { return "bar"; }
using namespace boost::python;
object choose_function(bool selector)
{
if (selector)
return boost::python::make_function(foo);
else
return boost::python::make_function(bar);
}
BOOST_PYTHON_MODULE(make_function_test)
{
def("choose_function", choose_function);
}
</pre>
It can be used this way in Python:
<pre>
&gt;&gt;&gt; from make_function_test import *
&gt;&gt;&gt; f = choose_function(1)
&gt;&gt;&gt; g = choose_function(0)
&gt;&gt;&gt; f()
'foo'
&gt;&gt;&gt; g()
'bar'
</pre>
<p>
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
</html>

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<head>
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<title>Boost.Python - &lt;boost/python/manage_new_object.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header
&lt;boost/python/manage_new_object.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#manage_new_object-spec">Class
<code>manage_new_object</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#manage_new_object-spec-synopsis">Class
<code>manage_new_object</code> synopsis</a></dt>
<dt><a href="#manage_new_object-spec-metafunctions">Class
<code>manage_new_object</code> metafunctions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="manage_new_object-spec"></a>Class
<code>manage_new_object</code></h3>
<p><code>manage_new_object</code> is a model of <a href=
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a>
which can be used to wrap C++ functions which return a pointer to an
object allocated with a <i>new-expression</i>, and expect the caller to
take responsibility for deleting that object.</p>
<h4><a name="manage_new_object-spec-synopsis"></a>Class
<code>manage_new_object</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
struct manage_new_object
{
template &lt;class T&gt; struct apply;
};
}}
</pre>
<h4><a name="manage_new_object-spec-metafunctions"></a>Class
<code>manage_new_object</code> metafunctions</h4>
<pre>
template &lt;class T&gt; struct apply
</pre>
<dl class="metafunction-semantics">
<dt><b>Requires:</b> <code>T</code> is <code>U*</code> for some
<code>U</code>.</dt>
<dt><b>Returns:</b> <code>typedef <a href=
"to_python_indirect.html#to_python_indirect-spec">to_python_indirect</a>&lt;T&gt;
type;</code></dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<p>In C++:</p>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/python/manage_new_object.hpp&gt;
#include &lt;boost/python/return_value_policy.hpp&gt;
struct Foo {
Foo(int x) : x(x){}
int get_x() { return x; }
int x;
};
Foo* make_foo(int x) { return new Foo(x); }
// Wrapper code
using namespace boost::python;
BOOST_PYTHON_MODULE(my_module)
{
def("make_foo", make_foo, return_value_policy&lt;manage_new_object&gt;())
class_&lt;Foo&gt;("Foo")
.def("get_x", &amp;Foo::get_x)
;
}
</pre>
In Python:
<pre>
&gt;&gt;&gt; from my_module import *
&gt;&gt;&gt; f = make_foo(3) # create a Foo object
&gt;&gt;&gt; f.get_x()
3
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
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<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/module.hpp&gt;</title>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../boost.png" border="0"></a></h3>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/module.hpp&gt;</h2>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a>
<dt><a href="#macros">Macros</a>
<dd>
<dl class="page-index">
<dt><a href=
"#BOOST_PYTHON_MODULE-spec">BOOST_PYTHON_MODULE</a>
</dl>
<dt><a href="#examples">Example(s)</a>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>This header provides the basic facilities needed to create a
Boost.Python extension module.
<h2><a name="macros"></a>Macros</h2>
<p><a name=
"BOOST_PYTHON_MODULE-spec"><code>BOOST_PYTHON_MODULE(name)</code></a>
is used to declare Python <a href=
"http://www.python.org/doc/2.2/ext/methodTable.html#SECTION003400000000000000000">
module initialization functions</a>. The <code>name</code> argument must
exactly match the name of the module to be initialized, and must conform to
Python's <a href=
"http://www.python.org/doc/2.2/ref/identifiers.html">identifier naming
rules</a>. Where you would normally write
<pre>
extern &quot;C&quot; void init<i>name</i>()
{
...
}
</pre>
Boost.Python modules should be initialized with
<pre>
BOOST_PYTHON_MODULE(<i>name</i>)
{
...
}
</pre>
This macro generates two functions in the scope where it is used:
<code>extern&nbsp;&quot;C&quot;&nbsp;void&nbsp;init<i>name</i>()</code>,
and <code>void&nbsp;init_module_<i>name</i>()</code>, whose body must
follow the macro invocation. <code>init_<i>name</i></code> passes
<code>init_module_<i>name</i></code> to <code><a
href="errors.html#handle_exception-spec">handle_exception</a>()</code> so
that any C++ exceptions generated are safely processeed. During the
body of <code>init_<i>name</i></code>, the current <code><a
href="scope.html#scope-spec">scope</a></code> refers to the module
being initialized.
<h2><a name="examples"></a>Example(s)</h2>
<p>C++ module definition:
<pre>
#include &lt;boost/python/module.hpp&gt;
BOOST_PYTHON_MODULE(xxx)
{
throw &quot;something bad happened&quot;
}
</pre>
Interactive Python:
<pre>
&gt;&gt;&gt; import xxx
Traceback (most recent call last):
File "<stdin>", line 1, in ?
RuntimeError: Unidentifiable C++ Exception
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. </i>

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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/numeric.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/numeric.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#array-spec">Class <code>array</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#array-spec-synopsis">Class <code>array</code>
synopsis</a></dt>
<dt><a href="#array-spec-observers">Class <code>array</code>
observer functions</a></dt>
<dt><a href="#array-spec-statics">Class <code>array</code>
static functions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> for the Python
<a href=
"http://www.python.org/dev/doc/devel/lib/typesmapping.html">array</a>
type.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="array-spec"></a>Class <code>array</code></h3>
<p>Provides access to the array types of <a href=
"http://www.pfdubois.com/numpy/">Numerical Python</a>'s <a href=
"http://www.pfdubois.com/numpy/#Numeric">Numeric</a> and <a href=
"http://stsdas.stsci.edu/numarray/index.html">NumArray</a> modules. With
the exception of the functions documented <a href=
"#array-spec-observers">below</a>, the semantics of the constructors and
member functions defined below can be fully understood by reading the <a
href="ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> concept
definition. Since <code>array</code> is publicly derived from <code><a
href="object.html#object-spec">object</a></code>, the public object
interface applies to <code>array</code> instances as well.</p>
<p><a name="default_search"></a>The default behavior is to use
<code>numarray.NDArray</code> as the associated Python type if the
<code>numarray</code> module is installed in the default location.
Otherwise it falls back to use <code>Numeric.ArrayType</code>. If neither
extension module is installed, conversions to arguments of type
<code>numeric::array</code> will cause overload resolution to reject the
overload, and other attempted uses of <code>numeric::array</code> will <a
href="definitions.html#raise">raise</a> an appropriate Python exception.
The associated Python type can be set manually using the <code><a href=
"#array-spec-statics">set_module_and_type</a>(...)</code> static
function.</p>
<h4><a name="array-spec-synopsis"></a>Class <code>array</code>
synopsis</h4>
<pre>
namespace boost { namespace python { namespace numeric
{
class array : public object
{
public:
object astype();
template &lt;class Type&gt;
object astype(Type const&amp; type_);
template &lt;class Type&gt;
object new_(Type const&amp; type_) const;
template &lt;class Sequence&gt;
void resize(Sequence const&amp; x);
void resize(long x1);
void resize(long x1, long x2);
...
void resize(long x1, long x2,...long x<i>n</i>);
template &lt;class Sequence&gt;
void setshape(Sequence const&amp; x);
void setshape(long x1);
void setshape(long x1, long x2);
...
void setshape(long x1, long x2,...long x<i>n</i>);
template &lt;class Indices, class Values&gt;
void put(Indices const&amp; indices, Values const&amp; values);
template &lt;class Sequence&gt;
object take(Sequence const&amp; sequence, long axis = 0);
template &lt;class File&gt;
void tofile(File const&amp; f) const;
object factory();
template &lt;class Buffer&gt;
object factory(Buffer const&amp;);
template &lt;class Buffer, class Type&gt;
object factory(Buffer const&amp;, Type const&amp;);
template &lt;class Buffer, class Type, class Shape&gt;
object factory(Buffer const&amp;, Type const&amp;, Shape const&amp;, bool copy = true, bool savespace = false);
template &lt;class Buffer, class Type, class Shape&gt;
object factory(Buffer const&amp;, Type const&amp;, Shape const&amp;, bool copy, bool savespace, char typecode);
template &lt;class T1&gt;
explicit array(T1 const&amp; x1);
template &lt;class T1, class T2&gt;
explicit array(T1 const&amp; x1, T2 const&amp; x2);
...
template &lt;class T1, class T2,...class T<i>n</i>&gt;
explicit array(T1 const&amp; x1, T2 const&amp; x2,...T<i>n</i> const&amp; xn);
static void set_module_and_type();
static void set_module_and_type(char const* package_path = 0, char const* type_name = 0);
object argmax(long axis=-1);
object argmin(long axis=-1);
object argsort(long axis=-1);
void byteswap();
object copy() const;
object diagonal(long offset = 0, long axis1 = 0, long axis2 = 1) const;
void info() const;
bool is_c_array() const;
bool isbyteswapped() const;
void sort();
object trace(long offset = 0, long axis1 = 0, long axis2 = 1) const;
object type() const;
char typecode() const;
object getflat() const;
long getrank() const;
object getshape() const;
bool isaligned() const;
bool iscontiguous() const;
long itemsize() const;
long nelements() const;
object nonzero() const;
void ravel();
object repeat(object const&amp; repeats, long axis=0);
void setflat(object const&amp; flat);
void swapaxes(long axis1, long axis2);
str tostring() const;
void transpose(object const&amp; axes = object());
object view() const;
};
}}}
</pre>
<h4><a name="array-spec-observers"></a>Class <code>array</code> observer
functions</h4>
<pre>
object factory();
template &lt;class Buffer&gt;
object factory(Buffer const&amp;);
template &lt;class Buffer, class Type&gt;
object factory(Buffer const&amp;, Type const&amp;);
template &lt;class Buffer, class Type, class Shape&gt;
object factory(Buffer const&amp;, Type const&amp;, Shape const&amp;, bool copy = true, bool savespace = false);
template &lt;class Buffer, class Type, class Shape&gt;
object factory(Buffer const&amp;, Type const&amp;, Shape const&amp;, bool copy, bool savespace, char typecode);
</pre>
These functions map to the underlying array type's <code>array()</code>
function family. They are not called "<code>array</code>" because of the
C++ limitation that you can't define a member function with the same name
as its enclosing class.
<pre>
template &lt;class Type&gt;
object new_(Type const&amp;) const;
</pre>
This function maps to the underlying array type's <code>new()</code>
function. It is not called "<code>new</code>" because that is a keyword
in C++.
<h4><a name="array-spec-statics"></a>Class <code>array</code> static
functions</h4>
<pre>
static void set_module_and_type(char const* package_path, char const* type_name);
static void set_module_and_type();
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>package_path</code> and
<code>type_name</code>, if supplied, is an <a href=
"definitions.html#ntbs">ntbs</a>.</dt>
<dt><b>Effects:</b> The first form sets the package path of the module
which supplies the type named by <code>type_name</code> to
<code>package_path</code>. The second form restores the <a href=
"#default_search">default search behavior</a>. The associated Python
type will be searched for only the first time it is needed, and
thereafter the first time it is needed after an invocation of
<code>set_module_and_type</code>.</dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<pre>
#include &lt;boost/python/numeric.hpp&gt;
#include &lt;boost/python/tuple.hpp&gt;
// sets the first element in a 2d numeric array
void set_first_element(numeric::array&amp; y, double value)
{
y[make_tuple(0,0)] = value;
}
</pre>
<p>Revised 03 October, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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<h3><a href="../../../../index.htm"><img height="86" width="277"
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<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/object.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#types">Types</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#slice_nil-spec">slice_nil</a></dt>
</dl>
</dd>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#const_attribute_policies-spec">Class
<code>const_attribute_policies</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#const_attribute_policies-spec-synopsis">Class
<code>const_attribute_policies</code> synopsis</a></dt>
<dt><a href="#const_attribute_policies-spec-statics">Class
<code>const_attribute_policies</code> static functions</a></dt>
</dl>
</dd>
<dt><a href="#attribute_policies-spec">Class
<code>attribute_policies</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#attribute_policies-spec-synopsis">Class
<code>attribute_policies</code> synopsis</a></dt>
<dt><a href="#attribute_policies-spec-statics">Class
<code>attribute_policies</code> static functions</a></dt>
</dl>
</dd>
<dt><a href="#const_item_policies-spec">Class
<code>const_item_policies</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#const_item_policies-spec-synopsis">Class
<code>const_item_policies</code> synopsis</a></dt>
<dt><a href="#const_item_policies-spec-statics">Class
<code>const_item_policies</code> static functions</a></dt>
</dl>
</dd>
<dt><a href="#item_policies-spec">Class
<code>item_policies</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#item_policies-spec-synopsis">Class
<code>item_policies</code> synopsis</a></dt>
<dt><a href="#item_policies-spec-statics">Class
<code>item_policies</code> static functions</a></dt>
</dl>
</dd>
<dt><a href="#const_slice_policies-spec">Class
<code>const_slice_policies</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#const_slice_policies-spec-synopsis">Class
<code>const_slice_policies</code> synopsis</a></dt>
<dt><a href="#const_slice_policies-spec-statics">Class
<code>const_slice_policies</code> static functions</a></dt>
</dl>
</dd>
<dt><a href="#slice_policies-spec">Class
<code>slice_policies</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#slice_policies-spec-synopsis">Class
<code>slice_policies</code> synopsis</a></dt>
<dt><a href="#slice_policies-spec-statics">Class
<code>slice_policies</code> static functions</a></dt>
</dl>
</dd>
<dt><a href="#object_operators-spec">Class
<code>object_operators</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#object_operators-spec-synopsis">Class
<code>object_operators</code> synopsis</a></dt>
<dt><a href="#object_operators-spec-observers">Class
<code>object_operators</code> observer functions</a></dt>
</dl>
</dd>
<dt><a href="#object-spec">Class <code>object</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#object-spec-synopsis">Class <code>object</code>
synopsis</a></dt>
<dt><a href="#object-spec-ctors">Class <code>object</code>
constructors and destructor</a></dt>
<dt><a href="#object-spec-modifiers">Class template
<code>object</code> modifier functions</a></dt>
<dt><a href="#object-spec-observers">Class template
<code>object</code> observer functions</a></dt>
</dl>
</dd>
<dt><a href="#proxy-spec">Class template
<code>proxy</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#proxy-spec-synopsis">Class template
<code>proxy</code> synopsis</a></dt>
<dt><a href="#proxy-spec-modifiers">Class template
<code>proxy</code> modifier functions</a></dt>
<dt><a href="#proxy-spec-observers">Class template
<code>proxy</code> observer functions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#del-spec">del</a></dt>
<dt><a href="#comparisons-spec">comparisons</a></dt>
<dt><a href="#binary-spec">binary operations</a></dt>
<dt><a href="#assignment-spec">assignment operations</a></dt>
</dl>
<dl class="page-index">
<dt><a href="#object_operators-spec">operators</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes the generic Python object wrapper class <code>object</code>,
and related classes. In order to avoid some potenential problems with
argument-dependent lookup and the generalized operators defined on
<code>object</code>, all these facilities are defined in
<code>namespace&nbsp;boost::python::api</code>, and <code>object</code>
is imported into <code>namespace&nbsp;boost::python</code> with a
<i>using-declaration</i>.</p>
<h2><a name="types"></a>Types</h2>
<p><a name="slice_nil-spec"></a></p>
<pre>
class slice_nil;
static const _ = slice_nil();
</pre>
A type that can be used to get the effect of leaving out an index in a
Python slice expression:
<pre>
&gt;&gt;&gt; x[:-1]
&gt;&gt;&gt; x[::-1]
</pre>
C++ equivalent:
<pre>
x.slice(_,-1)
x[slice(_,_,-1)]
</pre>
<h2><a name="classes"></a>Classes</h2>
<!-- begin -->
<h3><a name="const_attribute_policies-spec"></a>Class
<code>const_attribute_policies</code></h3>
<p>The policies which are used for proxies representing an attribute
access to a <code>const&nbsp;object</code>.</p>
<h4><a name="const_attribute_policies-spec-synopsis"></a>Class
<code>const_attribute_policies</code> synopsis</h4>
<pre>
namespace boost { namespace python { namespace api
{
struct const_attribute_policies
{
typedef char const* key_type;
static object get(object const&amp; target, char const* key);
};
}}}
</pre>
<h4><a name="const_attribute_policies-spec-statics"></a>Class
<code>const_attribute_policies</code> static functions</h4>
<pre>
static object get(object const&amp; target, char const* key);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>key</code> is an <a href=
"definitions.html#ntbs">ntbs</a>.</dt>
<dt><b>Effects:</b> accesses the attribute of <code>target</code> named
by <code>key</code>.</dt>
<dt><b>Returns:</b> An <code>object</code> managing the result of the
attribute access.</dt>
<dt><b>Throws:</b> <code><a href=
"errors.html#error_already_set-spec">error_already_set</a></code> if a
Python exception is raised.</dt>
</dl>
<h3><a name="attribute_policies-spec"></a>Class
<code>attribute_policies</code></h3>
<p>The policies which are used for proxies representing an attribute
access to a mutable <code>object</code>.</p>
<h4><a name="attribute_policies-spec-synopsis"></a>Class
<code>attribute_policies</code> synopsis</h4>
<pre>
namespace boost { namespace python { namespace api
{
struct attribute_policies : const_attribute_policies
{
static object const&amp; set(object const&amp; target, char const* key, object const&amp; value);
static void del(object const&amp;target, char const* key);
};
}}}
</pre>
<h4><a name="attribute_policies-spec-statics"></a>Class
<code>attribute_policies</code> static functions</h4>
<pre>
static object const&amp; set(object const&amp; target, char const* key, object const&amp; value);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>key</code> is an <a href=
"definitions.html#ntbs">ntbs</a>.</dt>
<dt><b>Effects:</b> sets the attribute of <code>target</code> named by
<code>key</code> to <code>value</code>.</dt>
<dt><b>Throws:</b> <code><a href=
"errors.html#error_already_set-spec">error_already_set</a></code> if a
Python exception is raised.</dt>
</dl>
<pre>
static void del(object const&amp;target, char const* key);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>key</code> is an <a href=
"definitions.html#ntbs">ntbs</a>.</dt>
<dt><b>Effects:</b> deletes the attribute of <code>target</code> named
by <code>key</code>.</dt>
<dt><b>Throws:</b> <code><a href=
"errors.html#error_already_set-spec">error_already_set</a></code> if a
Python exception is raised.</dt>
</dl>
<!-- end -->
<!-- begin -->
<h3><a name="const_item_policies-spec"></a>Class
<code>const_item_policies</code></h3>
<p>The policies which are used for proxies representing an item access
(via the Python bracket operators <code>[]</code>) to a
<code>const&nbsp;object</code>.</p>
<h4><a name="const_item_policies-spec-synopsis"></a>Class
<code>const_item_policies</code> synopsis</h4>
<pre>
namespace boost { namespace python { namespace api
{
struct const_item_policies
{
typedef object key_type;
static object get(object const&amp; target, object const&amp; key);
};
}}}
</pre>
<h4><a name="const_item_policies-spec-statics"></a>Class
<code>const_item_policies</code> static functions</h4>
<pre>
static object get(object const&amp; target, object const&amp; key);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> accesses the item of <code>target</code> specified
by <code>key</code>.</dt>
<dt><b>Returns:</b> An <code>object</code> managing the result of the
item access.</dt>
<dt><b>Throws:</b> <code><a href=
"errors.html#error_already_set-spec">error_already_set</a></code> if a
Python exception is raised.</dt>
</dl>
<h3><a name="item_policies-spec"></a>Class
<code>item_policies</code></h3>
<p>The policies which are used for proxies representing an item access
(via the Python bracket operators <code>[]</code>) to a mutable
<code>object</code>.</p>
<h4><a name="item_policies-spec-synopsis"></a>Class
<code>item_policies</code> synopsis</h4>
<pre>
namespace boost { namespace python { namespace api
{
struct item_policies : const_item_policies
{
static object const&amp; set(object const&amp; target, object const&amp; key, object const&amp; value);
static void del(object const&amp; target, object const&amp; key);
};
}}}
</pre>
<h4><a name="item_policies-spec-statics"></a>Class
<code>item_policies</code> static functions</h4>
<pre>
static object const&amp; set(object const&amp; target, object const&amp; key, object const&amp; value);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> sets the item of <code>target</code> specified by
<code>key</code> to <code>value</code>.</dt>
<dt><b>Throws:</b> <code><a href=
"errors.html#error_already_set-spec">error_already_set</a></code> if a
Python exception is raised.</dt>
</dl>
<pre>
static void del(object const&amp; target, object const&amp; key);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> deletes the item of <code>target</code> specified
by <code>key</code>.</dt>
<dt><b>Throws:</b> <code><a href=
"errors.html#error_already_set-spec">error_already_set</a></code> if a
Python exception is raised.</dt>
</dl>
<!-- end -->
<!-- begin -->
<h3><a name="const_slice_policies-spec"></a>Class
<code>const_slice_policies</code></h3>
<p>The policies which are used for proxies representing an slice access
(via the Python slice notation
<code>[</code><i>x</i><code>:</code><i>y</i><code>]</code>) to a
<code>const&nbsp;object</code>.</p>
<h4><a name="const_slice_policies-spec-synopsis"></a>Class
<code>const_slice_policies</code> synopsis</h4>
<pre>
namespace boost { namespace python { namespace api
{
struct const_slice_policies
{
typedef std::pair&lt;handle&lt;&gt;, handle&lt;&gt; &gt; key_type;
static object get(object const&amp; target, key_type const&amp; key);
};
}}}
</pre>
<h4><a name="const_slice_policies-spec-statics"></a>Class
<code>const_slice_policies</code> static functions</h4>
<pre>
static object get(object const&amp; target, key_type const&amp; key);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> accesses the slice of <code>target</code> specified
by <code>key</code>.</dt>
<dt><b>Returns:</b> An <code>object</code> managing the result of the
slice access.</dt>
<dt><b>Throws:</b> <code><a href=
"errors.html#error_already_set-spec">error_already_set</a></code> if a
Python exception is raised.</dt>
</dl>
<h3><a name="slice_policies-spec"></a>Class
<code>slice_policies</code></h3>
<p>The policies which are used for proxies representing an slice access
to a mutable <code>object</code>.</p>
<h4><a name="slice_policies-spec-synopsis"></a>Class
<code>slice_policies</code> synopsis</h4>
<pre>
namespace boost { namespace python { namespace api
{
struct slice_policies : const_slice_policies
{
static object const&amp; set(object const&amp; target, key_type const&amp; key, object const&amp; value);
static void del(object const&amp; target, key_type const&amp; key);
};
}}}
</pre>
<h4><a name="slice_policies-spec-statics"></a>Class
<code>slice_policies</code> static functions</h4>
<pre>
static object const&amp; set(object const&amp; target, key_type const&amp; key, object const&amp; value);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> sets the slice of <code>target</code> specified by
<code>key</code> to <code>value</code>.</dt>
<dt><b>Throws:</b> <code><a href=
"errors.html#error_already_set-spec">error_already_set</a></code> if a
Python exception is raised.</dt>
</dl>
<pre>
static void del(object const&amp; target, key_type const&amp; key);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> deletes the slice of <code>target</code> specified
by <code>key</code>.</dt>
<dt><b>Throws:</b> <code><a href=
"errors.html#error_already_set-spec">error_already_set</a></code> if a
Python exception is raised.</dt>
</dl>
<!-- end -->
<h3><a name="object_operators-spec"></a>Class template
<code>object_operators&lt;U&gt;</code></h3>
<p>This is the base class of <code>object</code> and its
<code>proxy</code> template used to supply common interface: member
functions, and operators which must be defined within the class body. Its
template parameter <code>U</code> is expected to be a class derived from
<code>object_operators&lt;U&gt;</code>. In practice users should never
use this class directly, but it is documented here because it supplies
important interface to <code>object</code> and its proxies.</p>
<h4><a name="object_operators-spec-synopsis"></a>Class template
<code>object_operators</code> synopsis</h4>
<pre>
namespace boost { namespace python { namespace api
{
template &lt;class U&gt;
class object_operators
{
public:
// function call
//
object operator()() const;
template &lt;class A0&gt;
object operator()(A0 const&amp;) const;
template &lt;class A0, class A1&gt;
object operator()(A0 const&amp;, A1 const&amp;) const;
...
template &lt;class A0, class A1,...class An&gt;
object operator()(A0 const&amp;, A1 const&amp;,...An const&amp;) const;
// truth value testing
//
typedef unspecified bool_type;
operator bool_type() const;
// Attribute access
//
proxy&lt;const_object_attribute&gt; attr(char const*) const;
proxy&lt;object_attribute&gt; attr(char const*);
// item access
//
template &lt;class T&gt;
proxy&lt;const_object_item&gt; operator[](T const&amp; key) const;
template &lt;class T&gt;
proxy&lt;object_item&gt; operator[](T const&amp; key);
// slicing
//
template &lt;class T, class V&gt;
proxy&lt;const_object_slice&gt; slice(T const&amp; start, V const&amp; end) const
template &lt;class T, class V&gt;
proxy&lt;object_slice&gt; slice(T const&amp; start, V const&amp; end);
};
}}}
</pre>
<h4><a name="object_operators-spec-observers"></a>Class template
<code>object_operators</code> observer functions</h4>
<pre>
object operator()() const;
template &lt;class A0&gt;
object operator()(A0 const&amp;) const;
template &lt;class A0, class A1&gt;
object operator()(A0 const&amp;, A1 const&amp;) const;
...
template &lt;class A0, class A1,...class An&gt;
object operator()(A0 const&amp; a1, A1 const&amp; a2,...An const&amp; aN) const;
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
call&lt;object&gt;(object(*static_cast&lt;U*&gt;(this)).ptr(), a1,
a2,...aN)</dt>
</dl>
<pre>
operator bool_type() const;
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> Tests truth value of <code>*this</code>.</dt>
<dt><b>Returns:</b>
call&lt;object&gt;(object(*static_cast&lt;U*&gt;(this)).ptr(), a1,
a2,...aN)</dt>
</dl>
<pre>
proxy&lt;const_object_attribute&gt; attr(char const* name) const;
proxy&lt;object_attribute&gt; attr(char const* name);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> name is an <a href=
"definitions.html#ntbs">ntbs</a>.</dt>
<dt><b>Effects:</b> accesses the named attribute of
<code>*this</code>.</dt>
<dt><b>Returns:</b> a proxy object which binds
<code>object(*static_cast&lt;U*&gt;(this))</code> as its target, and
<code>name</code> as its key.</dt>
</dl>
<pre>
template &lt;class T&gt;
proxy&lt;const_object_item&gt; operator[](T const&amp; key) const;
template &lt;class T&gt;
proxy&lt;object_item&gt; operator[](T const&amp; key);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> accesses the item of <code>*this</code> indicated
by <code>key</code>.</dt>
<dt><b>Returns:</b> a proxy object which binds
<code>object(*static_cast&lt;U*&gt;(this))</code> as its target, and
<code>object(key)</code> as its key.</dt>
</dl>
<pre>
template &lt;class T, class V&gt;
proxy&lt;const_object_slice&gt; slice(T const&amp; start; start, V const&amp; finish) const
template &lt;class T, class V&gt;
proxy&lt;object_slice&gt; slice(T const&amp; start; start, V const&amp; finish);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> accesses the slice of <code>*this</code> indicated
by <code>std::make_pair(object(start), object(finish))</code>.</dt>
<dt><b>Returns:</b> a proxy object which binds
<code>object(*static_cast&lt;U*&gt;(this))</code> as its target, and
<code>std::make_pair(object(start), object(finish))</code> as its
key.</dt>
</dl>
<!-- -->
<h3><a name="object-spec"></a>Class <code>object</code></h3>
<p>The intention is that <code>object</code> acts as much like a
Python variable as possible. Thus expressions you'd expect to work
in Python should generally work in the same way from C++. Most of
<code>object</code>'s interface is provided by its base class
<code><a
href="#object_operators-spec">object_operators</a>&lt;object&gt;</code>,
and the <a href="#functions">free functions</a> defined in this
header.
</p>
<h4><a name="object-spec-synopsis"></a>Class <code>object</code>
synopsis</h4>
<pre>
namespace boost { namespace python { namespace api
{
class object : public object_operators&lt;object&gt;
{
public:
object();
object(object const&amp;);
template &lt;class T&gt;
explicit object(T const&amp; x);
~object();
object&amp; operator=(object const&amp;);
PyObject* ptr() const;
};
}}}
</pre>
<h4><a name="object-spec-ctors"></a>Class <code>object</code>
constructors and destructor</h4>
<pre>
object();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> Constructs an object managing a reference to the
Python <code>None</code> object.</dt>
<dt><b>Throws:</b> nothing.</dt>
</dl>
<pre>
template &lt;class T&gt;
explicit object(T const&amp; x);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> converts <code>x</code> to python and manages a
reference to it.</dt>
<dt><b>Throws:</b> <code>error_already_set</code> and sets a Python
<code>TypeError</code> exception if no such conversion is
possible.</dt>
</dl>
<pre>
~object();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> decrements the reference count of the
internally-held object.</dt>
</dl>
<h4><a name="object-spec-modifiers"></a>Class <code>object</code>
modifiers</h4>
<pre>
object&amp; operator=(object const&amp; rhs);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> increments the reference count of the object held
by <code>rhs</code> and decrements the reference count of the object
held by <code>*this</code>.</dt>
</dl>
<h4><a name="object-spec-observers"></a>Class <code>object</code>
observers</h4>
<pre>
PyObject* ptr() const;
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> a pointer to the internally-held Python
object.</dt>
</dl>
<!-- -->
<h3><a name="proxy-spec"></a>Class template <code>proxy</code></h3>
<p>This template is instantiated with various Policies described in this
document in order to implement attribute, item, and slice access for
<code>object</code>. It stores an object of type
<code>Policies::key_type</code>.</p>
<h4><a name="proxy-spec-synopsis"></a>Class template <code>proxy</code>
synopsis</h4>
<pre>
namespace boost { namespace python { namespace api
{
template &lt;class Policies&gt;
class proxy : public object_operators&lt;proxy&lt;Policies&gt; &gt;
{
public:
operator object() const;
proxy const&amp; operator=(proxy const&amp;) const;
template &lt;class T&gt;
inline proxy const&amp; operator=(T const&amp; rhs) const;
void del() const;
template &lt;class R&gt;
proxy operator+=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator-=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator*=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator/=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator%=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator&lt;&lt;=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator&gt;&gt;=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator&amp;=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator|=(R const&amp; rhs);
};
}}}
</pre>
<h4><a name="proxy-spec-observers"></a>Class template <code>proxy</code>
observer functions</h4>
<pre>
operator object() const;
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> applies
<code>Policies::get(</code><i>target</i><code>,</code>&nbsp;<i>key</i>
<code>)</code> with the proxy's target and key objects.</dt>
</dl>
<h4><a name="proxy-spec-modifiers"></a>Class template <code>proxy</code>
modifier functions</h4>
<pre>
proxy const&amp; operator=(proxy const&amp; rhs) const;
template &lt;class T&gt;
inline proxy const&amp; operator=(T const&amp; rhs) const;
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>Policies::set(</code><i>target</i><code>,</code>&nbsp;<i>key</i>
<code>,&nbsp;object(rhs))</code> with the proxy's target and key
objects.</dt>
</dl>
<pre>
template &lt;class R&gt;
proxy operator+=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator-=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator*=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator/=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator%=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator&lt;&lt;=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator&gt;&gt;=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator&amp;=(R const&amp; rhs);
template &lt;class R&gt;
proxy operator|=(R const&amp; rhs);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> for a given operator@=,
<code>object(*this)&nbsp;@=&nbsp;rhs;</code></dt>
<dt><b>Returns:</b> <code>*this</code></dt>
</dl>
<pre>
void del() const;
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>Policies::del(</code><i>target</i><code>,</code>&nbsp;<i>key</i>
<code>)</code> with the proxy's target and key objects.</dt>
</dl>
<!-- -->
<h2><a name="functions"></a>Functions</h2>
<pre>
<a name="del-spec"></a>template &lt;class T&gt;
void del(proxy&lt;T&gt; const&amp; x);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> x.del()</dt>
</dl>
<pre>
<a name="comparisons-spec"></a>
template&lt;class L,class R&gt; bool operator&gt;(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; bool operator&gt;=(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; bool operator&lt;(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; bool operator&lt;=(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; bool operator==(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; bool operator!=(L const&amp;l,R const&amp;r);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> returns the result of applying the operator to
<code>object(l)</code> and <code>object(r)</code>, respectively, in
Python.</dt>
</dl>
<pre>
<a name="binary-spec"></a>
template&lt;class L,class R&gt; object operator+(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; object operator-(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; object operator*(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; object operator/(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; object operator%(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; object operator&lt;&lt;(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; object operator&gt;&gt;(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; object operator&amp;(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; object operator^(L const&amp;l,R const&amp;r);
template&lt;class L,class R&gt; object operator|(L const&amp;l,R const&amp;r);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> returns the result of applying the operator to
<code>object(l)</code> and <code>object(r)</code>, respectively, in
Python.</dt>
</dl>
<pre>
<a name="assignment-spec"></a>
template&lt;class R&gt; object&amp; operator+=(object&amp;l,R const&amp;r);
template&lt;class R&gt; object&amp; operator-=(object&amp;l,R const&amp;r);
template&lt;class R&gt; object&amp; operator*=(object&amp;l,R const&amp;r);
template&lt;class R&gt; object&amp; operator/=(object&amp;l,R const&amp;r);
template&lt;class R&gt; object&amp; operator%=(object&amp;l,R const&amp;r);
template&lt;class R&gt; object&amp; operator&lt;&lt;=(object&amp;l,R const&amp;r)
template&lt;class R&gt; object&amp; operator&gt;&gt;=(object&amp;l,R const&amp;r);
template&lt;class R&gt; object&amp; operator&amp;=(object&amp;l,R const&amp;r);
template&lt;class R&gt; object&amp; operator^=(object&amp;l,R const&amp;r);
template&lt;class R&gt; object&amp; operator|=(object&amp;l,R const&amp;r);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> assigns to l the result of applying the
corresponding Python inplace operator to <code>l</code> and
<code>object(r)</code>, respectively.</dt>
<dt><b>Returns:</b> <code>l</code>.</dt>
</dl>
<h2><a name="examples"></a>Example</h2>
Python code:
<pre>
def sum_items(seq):
result = 0
for x in seq:
result += x
return result
</pre>
C++ version:
<pre>
object sum_items(object seq)
{
object result = object(0);
for (int i = 0; i &lt; seq.attr("__len__")(); ++i)
result += seq[i];
return result;
}
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/opaque_pointer_converter.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
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<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
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<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header
&lt;boost/python/opaque_pointer_converter.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#opaque_pointer_converter-spec">Class template
<code>opaque_pointer_converter&lt;P&gt;</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#opaque_pointer_converter-spec-synopsis">Class template
<code>opaque_pointer_converter</code> synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#macros">Macros</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#BOOST_PYTHON_OPAQUE_SPECIALIZED_TYPE_ID-spec">Macro
<code>BOOST_PYTHON_OPAQUE_SPECIALIZED_TYPE_ID</code></a></dt>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
<dt><a href="#see-also">See Also</a></dt>
</dl>
<hr>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="opaque_pointer_converter-spec"></a>Class template
<code>opaque_pointer_converter&lt;P&gt;</code></h3>
<p><code>opaque_pointer_converter&lt;&gt;</code> is derived from
<a href="to_python_converter.html#to_python_converter-spec">
<code>to_python_converter</code></a>
and registers itself as an
<a href="lvalue_from_pytype.html#lvalue_from_pytype-spec">
<code>lvalue_from_pytype</code></a> converter from Python objects
into pointers to undefined types.
Thus it may be used as a converter from opaque pointers into
Python objects and vice versa.</p>
<h4><a name="opaque_pointer_converter-spec-synopsis"></a>Class template
<code>opaque_pointer_converter</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
template&lt;class Pointer&gt;
struct opaque_pointer_converter
: to_python_converter&lt;
Pointer, opaque_pointer_converter&lt;Pointer&gt; &gt;
{
explicit opaque_pointer_converter(char const* name);
};
}}
</pre>
<h4><a name="opaque_pointer_converter-spec-constructor"></a>Class template
<code>opaque_pointer_converter</code> constructor</h4>
<pre>
explicit opaque_pointer_converter(char const* name);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<p>Registers the instance as a
<a href="lvalue_from_pytype.html#lvalue_from_pytype-spec">
<code>lvalue_from_pytype</code></a> converter from Python objects
into opaque pointers.</p>
<p>The name is used for the type of the Python Objects created;
it should be printable but needn't be an
<a href="definitions.html#ntbs">ntbs</a> because the object type is
not supposed to be user constructible within python scripts.</p>
</dt>
</dl>
<h2><a name="macros"></a>Macros</h2>
<h3><a name="BOOST_PYTHON_OPAQUE_SPECIALIZED_TYPE_ID-spec"></a>
Macro BOOST_PYTHON_OPAQUE_SPECIALIZED_TYPE_ID(Pointee)</h3>
<p>This macro must be used to define specializations of the
<a href="type_id.html#type_id-spec">type_id</a> function
which can't be instantiated for incomplete types.</p>
<h4>Note</h4>
<p>In order for this to work in a cross-module environment the macro must
be invoked in every translation unit which uses the
opaque_pointer_converter.</p>
<h2><a name="examples"></a>Example</h2>
please see example for <a href="return_opaque_pointer.html#examples">
return_opaque_pointer</a>.
<h2><a name="see-also"></a>See Also</h2>
<p>
<a href="return_opaque_pointer.html">return_opaque_pointer</a>
</p>
<p>Revised
10 March, 2003
</p>
<p><i>&copy; Copyright 2003 Haufe Mediengruppe. All Rights
Reserved.</i></p>
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<title>Boost.Python - &lt;boost/python/operators.hpp&gt;</title>
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<h3><a href="../../../../index.htm"><img height="86" width="277"
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<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/operators.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#self_t-spec">Class
<code>self_ns::self_t</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#self_t-spec-synopsis">Class <code>self_t</code>
synopsis</a></dt>
<dt><a href="#self_t-spec-inplace">Class <code>self_t</code>
inplace operators</a></dt>
<dt><a href="#self_t-spec-comparisons">Class
<code>self_t</code> comparison functions</a></dt>
<dt><a href="#self_t-spec-ops">Class <code>self_t</code>
non-member operations</a></dt>
<dt><a href="#self_t-spec-value-unary-ops">Class
<code>self_t</code> unary operations</a></dt>
<dt><a href="#self_t-spec-value-ops">Class
<code>self_t</code> value operations</a></dt>
</dl>
</dd>
<dt><a href="#other-spec">Class template
<code>other</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#other-spec-synopsis">Class <code>other</code>
synopsis</a></dt>
</dl>
</dd>
<dt><a href="#operator_-spec">Class template
<code>operator_</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#operator_-spec-synopsis">Class
<code>operator_</code> synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#objects">Objects</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#self-spec">self</a></dt>
</dl>
</dd>
<dt><a href="#examples">Examples</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/operators.hpp&gt;</code> provides types and
functions for automatically generating Python <a href=
"http://www.python.org/doc/ref/specialnames.html">special methods</a>
from the corresponding C++ constructs. Most of these constructs are
operator expressions, hence the name. To use the facility, substitute the
<code><a href="#self-spec">self</a></code> object for an object of the
class type being wrapped in the expression to be exposed, and pass the
result to <a href=
"class.html#class_-spec-modifiers">class_&lt;&gt;::def()</a>. Much of
what is exposed in this header should be considered part of the
implementation, so is not documented in detail here.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="self_t-spec"></a>Class <code>self_ns::self_t</code></h3>
<p><code>self_ns::self_t</code> is the actual type of the <a href=
"#self-spec"><code>self</code></a> object. The library isolates
<code>self_t</code> in its own namespace, <code>self_ns</code>, in order
to prevent the generalized operator templates which operate on it from
being found by argument-dependent lookup in other contexts. This should
be considered an implementation detail, since users should never have to
mention <code>self_t</code> directly.</p>
<h4><a name="self_t-spec-synopsis"></a>Class <code>self_ns::self_t</code>
synopsis</h4>
<pre>
namespace boost { namespace python { namespace self_ns {
{
<i>unspecified-type-declaration</i> self_t;
// inplace operators
template &lt;class T&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator+=(self_t, T);
template &lt;class T&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator-=(self_t, T);
template &lt;class T&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator*=(self_t, T);
template &lt;class T&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator/=(self_t, T);
template &lt;class T&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator%=(self_t, T);
template &lt;class T&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator&gt;&gt;=(self_t, T);
template &lt;class T&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator&lt;&lt;=(self_t, T);
template &lt;class T&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator&amp;=(self_t, T);
template &lt;class T&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator^=(self_t, T);
template &lt;class T&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator|=(self_t, T);
// comparisons
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator==(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator!=(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator&lt;(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator&gt;(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator&lt;=(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator&gt;=(L const&amp;, R const&amp;);
// non-member operations
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator+(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator-(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator*(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator/(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator%(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator&gt;&gt;(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator&lt;&lt;(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator&amp;(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator^(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator|(L const&amp;, R const&amp;);
template &lt;class L, class R&gt; <a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; pow(L const&amp;, R const&amp;);
// unary operations
<a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator-(self_t);
<a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator+(self_t);
<a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator~(self_t);
<a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; operator!(self_t);
// value operations
<a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; int_(self_t);
<a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; long_(self_t);
<a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; float_(self_t);
<a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; complex_(self_t);
<a href=
"#operator_-spec">operator_</a>&lt;<i>unspecified</i>&gt; str(self_t);
}}};
</pre>
The tables below describe the methods generated when the results of the
expressions described are passed as arguments to <a href=
"class.html#class_-spec-modifiers">class_&lt;&gt;::def()</a>.
<code><b>x</b></code> is an object of the class type being wrapped.
<h4><a name="self_t-spec-inplace"></a>Class <code>self_t</code> inplace
operators</h4>
In the table below, If <code><b>r</b></code> is an object of type
<code><a href="#other-spec">other</a>&lt;T&gt;</code>,
<code><b>y</b></code> is an object of type <code>T</code>; otherwise,
<code><b>y</b></code> is an object of the same type as
<code><b>r</b></code>.
<table border="1" summary="self_t inplace operators">
<tr>
<th>C++ Expression</th>
<th>Python Method Name</th>
<th>C++ Implementation</th>
</tr>
<tr>
<td><code>self&nbsp;+=&nbsp;r</code></td>
<td><code>__iadd__</code></td>
<td><code>x&nbsp;+=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;-=&nbsp;r</code></td>
<td><code>__isub__</code></td>
<td><code>x&nbsp;-=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;*=&nbsp;r</code></td>
<td><code>__imul__</code></td>
<td><code>x&nbsp;*=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;/=&nbsp;r</code></td>
<td><code>__idiv__</code></td>
<td><code>x&nbsp;/=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;%=&nbsp;r</code></td>
<td><code>__imod__</code></td>
<td><code>x&nbsp;%=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;&gt;&gt;=&nbsp;r</code></td>
<td><code>__irshift__</code></td>
<td><code>x&nbsp;&gt;&gt;=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;&lt;&lt;=&nbsp;r</code></td>
<td><code>__ilshift__</code></td>
<td><code>x&nbsp;&lt;&lt;=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;&amp;=&nbsp;r</code></td>
<td><code>__iand__</code></td>
<td><code>x&nbsp;&amp;=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;^=&nbsp;r</code></td>
<td><code>__ixor__</code></td>
<td><code>x&nbsp;^=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;|=&nbsp;r</code></td>
<td><code>__ior__</code></td>
<td><code>x&nbsp;|=&nbsp;y</code></td>
</tr>
</table>
<h4><a name="self_t-spec-comparisons"></a>Class <code>self_t</code>
comparison functions</h4>
In the tables below, if <code><b>r</b></code> is of type <code><a href=
"#self_t-spec">self_t</a></code>, <code><b>y</b></code> is an object of
the same type as <code>x</code>; <br>
if <code><b>l</b></code> or <code><b>r</b></code> is an object of type
<code><a href="#other-spec">other</a>&lt;T&gt;</code>,
<code><b>y</b></code> is an object of type <code>T</code>; <br>
otherwise, <code><b>y</b></code> is an object of the same type as
<code><b>l</b></code> or <code><b>r</b></code>.<br>
<code><b>l</b></code> is never of type <code><a href=
"#self_t-spec">self_t</a></code>.
<p>The column of <b>Python Expressions</b> illustrates the expressions
that will be supported in Python for objects convertible to the types of
<code>x</code> and <code>y</code>. The secondary operation arises due to
Python's <a href=
"http://www.python.org/doc/ref/customization.html#l2h-89">reflection
rules</a> for rich comparison operators, and are only used when the
corresponding operation is not defined as a method of the <code>y</code>
object.</p>
<table border="1" summary="self_t comparison functions">
<tr>
<th>C++ Expression</th>
<th>Python Method Name</th>
<th>C++ Implementation</th>
<th>Python Expressions<br>
(primary, secondary)</th>
</tr>
<tr>
<td><code>self&nbsp;==&nbsp;r</code></td>
<td><code>__eq__</code></td>
<td><code>x&nbsp;==&nbsp;y</code></td>
<td><code>x&nbsp;==&nbsp;y, y&nbsp;==&nbsp;x</code></td>
</tr>
<tr>
<td><code>l&nbsp;==&nbsp;self</code></td>
<td><code>__eq__</code></td>
<td><code>y&nbsp;==&nbsp;x</code></td>
<td><code>y&nbsp;==&nbsp;x, x&nbsp;==&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;!=&nbsp;r</code></td>
<td><code>__ne__</code></td>
<td><code>x&nbsp;!=&nbsp;y</code></td>
<td><code>x&nbsp;!=&nbsp;y, y&nbsp;!=&nbsp;x</code></td>
</tr>
<tr>
<td><code>l&nbsp;!=&nbsp;self</code></td>
<td><code>__ne__</code></td>
<td><code>y&nbsp;!=&nbsp;x</code></td>
<td><code>y&nbsp;!=&nbsp;x, x&nbsp;!=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;&lt;&nbsp;r</code></td>
<td><code>__lt__</code></td>
<td><code>x&nbsp;&lt;&nbsp;y</code></td>
<td><code>x&nbsp;&lt;&nbsp;y, y&nbsp;&gt;&nbsp;x</code></td>
</tr>
<tr>
<td><code>l&nbsp;&lt;&nbsp;self</code></td>
<td><code>__gt__</code></td>
<td><code>y&nbsp;&lt;&nbsp;x</code></td>
<td><code>y&nbsp;&gt;&nbsp;x, x&nbsp;&lt;&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;&gt;&nbsp;r</code></td>
<td><code>__gt__</code></td>
<td><code>x&nbsp;&gt;&nbsp;y</code></td>
<td><code>x&nbsp;&gt;&nbsp;y, y&nbsp;&lt;&nbsp;x</code></td>
</tr>
<tr>
<td><code>l&nbsp;&gt;&nbsp;self</code></td>
<td><code>__lt__</code></td>
<td><code>y&nbsp;&gt;&nbsp;x</code></td>
<td><code>y&nbsp;&lt;&nbsp;x, x&nbsp;&gt;&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;&lt;=&nbsp;r</code></td>
<td><code>__le__</code></td>
<td><code>x&nbsp;&lt;=&nbsp;y</code></td>
<td><code>x&nbsp;&lt;=&nbsp;y, y&nbsp;&gt;=&nbsp;x</code></td>
</tr>
<tr>
<td><code>l&nbsp;&lt;=&nbsp;self</code></td>
<td><code>__ge__</code></td>
<td><code>y&nbsp;&lt;=&nbsp;x</code></td>
<td><code>y&nbsp;&gt;=&nbsp;x, x&nbsp;&lt;=&nbsp;y</code></td>
</tr>
<tr>
<td><code>self&nbsp;&gt;=&nbsp;r</code></td>
<td><code>__ge__</code></td>
<td><code>x&nbsp;&gt;=&nbsp;y</code></td>
<td><code>x&nbsp;&gt;=&nbsp;y, y&nbsp;&lt;=&nbsp;x</code></td>
</tr>
<tr>
<td><code>l&nbsp;&gt;=&nbsp;self</code></td>
<td><code>__le__</code></td>
<td><code>y&nbsp;&gt;=&nbsp;x</code></td>
<td><code>y&nbsp;&lt;=&nbsp;x, x&nbsp;&gt;=&nbsp;y</code></td>
</tr>
</table>
<h4><a name="self_t-spec-ops"></a>Class <code>self_t</code> non-member
operations</h4>
The operations whose names begin with "<code>__r</code>" below will only
be called if the left-hand operand does not already support the given
operation, as described <a href=
"http://www.python.org/doc/current/ref/numeric-types.html#l2h-152">here</a>.
<table border="1" summary="self_t non-member operations">
<tr>
<th>C++ Expression</th>
<th>Python Method Name</th>
<th>C++ Implementation</th>
</tr>
<tr>
<td><code>self&nbsp;+&nbsp;r</code></td>
<td><code>__add__</code></td>
<td><code>x&nbsp;+&nbsp;y</code></td>
</tr>
<tr>
<td><code>l&nbsp;+&nbsp;self</code></td>
<td><code>__radd__</code></td>
<td><code>y&nbsp;+&nbsp;x</code></td>
</tr>
<tr>
<td><code>self&nbsp;-&nbsp;r</code></td>
<td><code>__sub__</code></td>
<td><code>x&nbsp;-&nbsp;y</code></td>
</tr>
<tr>
<td><code>l&nbsp;-&nbsp;self</code></td>
<td><code>__rsub__</code></td>
<td><code>y&nbsp;-&nbsp;x</code></td>
</tr>
<tr>
<td><code>self&nbsp;*&nbsp;r</code></td>
<td><code>__mul__</code></td>
<td><code>x&nbsp;*&nbsp;y</code></td>
</tr>
<tr>
<td><code>l&nbsp;*&nbsp;self</code></td>
<td><code>__rmul__</code></td>
<td><code>y&nbsp;*&nbsp;x</code></td>
</tr>
<tr>
<td><code>self&nbsp;/&nbsp;r</code></td>
<td><code>__div__</code></td>
<td><code>x&nbsp;/&nbsp;y</code></td>
</tr>
<tr>
<td><code>l&nbsp;/&nbsp;self</code></td>
<td><code>__rdiv__</code></td>
<td><code>y&nbsp;/&nbsp;x</code></td>
</tr>
<tr>
<td><code>self&nbsp;%&nbsp;r</code></td>
<td><code>__mod__</code></td>
<td><code>x&nbsp;%&nbsp;y</code></td>
</tr>
<tr>
<td><code>l&nbsp;%&nbsp;self</code></td>
<td><code>__rmod__</code></td>
<td><code>y&nbsp;%&nbsp;x</code></td>
</tr>
<tr>
<td><code>self&nbsp;&gt;&gt;&nbsp;r</code></td>
<td><code>__rshift__</code></td>
<td><code>x&nbsp;&gt;&gt;&nbsp;y</code></td>
</tr>
<tr>
<td><code>l&nbsp;&gt;&gt;&nbsp;self</code></td>
<td><code>__rrshift__</code></td>
<td><code>y&nbsp;&gt;&gt;&nbsp;x</code></td>
</tr>
<tr>
<td><code>self&nbsp;&lt;&lt;&nbsp;r</code></td>
<td><code>__lshift__</code></td>
<td><code>x&nbsp;&lt;&lt;&nbsp;y</code></td>
</tr>
<tr>
<td><code>l&nbsp;&lt;&lt;&nbsp;self</code></td>
<td><code>__rlshift__</code></td>
<td><code>y&nbsp;&lt;&lt;&nbsp;x</code></td>
</tr>
<tr>
<td><code>self&nbsp;&amp;&nbsp;r</code></td>
<td><code>__and__</code></td>
<td><code>x&nbsp;&amp;&nbsp;y</code></td>
</tr>
<tr>
<td><code>l&nbsp;&amp;&nbsp;self</code></td>
<td><code>__rand__</code></td>
<td><code>y&nbsp;&amp;&nbsp;x</code></td>
</tr>
<tr>
<td><code>self&nbsp;^&nbsp;r</code></td>
<td><code>__xor__</code></td>
<td><code>x&nbsp;^&nbsp;y</code></td>
</tr>
<tr>
<td><code>l&nbsp;^&nbsp;self</code></td>
<td><code>__rxor__</code></td>
<td><code>y&nbsp;^&nbsp;x</code></td>
</tr>
<tr>
<td><code>self&nbsp;|&nbsp;r</code></td>
<td><code>__or__</code></td>
<td><code>x&nbsp;|&nbsp;y</code></td>
</tr>
<tr>
<td><code>l&nbsp;|&nbsp;self</code></td>
<td><code>__ror__</code></td>
<td><code>y&nbsp;|&nbsp;x</code></td>
</tr>
<tr>
<td><code>pow(self,&nbsp;r)</code></td>
<td><code>__pow__</code></td>
<td><code>pow(x,&nbsp;y)</code></td>
</tr>
<tr>
<td><code>pow(l,&nbsp;self)</code></td>
<td><code>__rpow__</code></td>
<td><code>pow(y,&nbsp;x)</code></td>
</tr>
</table>
<h4><a name="self_t-spec-value-unary-ops"></a>Class <code>self_t</code> unary
operations</h4>
<table border="1" summary="self_t unary operations">
<tr>
<th>C++ Expression</th>
<th>Python Method Name</th>
<th>C++ Implementation</th>
</tr>
<tr>
<td><code>-self</code></td>
<td><code>__neg__</code></td>
<td><code>-x</code></td>
</tr>
<tr>
<td><code>+self</code></td>
<td><code>__pos__</code></td>
<td><code>+x</code></td>
</tr>
<tr>
<td><code>~self</code></td>
<td><code>__invert__</code></td>
<td><code>~x</code></td>
</tr>
<tr>
<td><code>not self</code><br><i>or</i><br><code>!self</code></td>
<td><code>__nonzero__</code></td>
<td><code>!!x</code></td>
</tr>
</table>
<h4><a name="self_t-spec-value-ops"></a>Class <code>self_t</code> value
operations</h4>
<table border="1" summary="self_t value operations">
<tr>
<th>C++ Expression</th>
<th>Python Method Name</th>
<th>C++ Implementation</th>
</tr>
<tr>
<td><code>int_(self)</code></td>
<td><code>__int__</code></td>
<td><code>long(x)</code></td>
</tr>
<tr>
<td><code>long_</code></td>
<td><code>__long__</code></td>
<td><code>PyLong_FromLong(x)</code></td>
</tr>
<tr>
<td><code>float_</code></td>
<td><code>__float__</code></td>
<td><code>double(x)</code></td>
</tr>
<tr>
<td><code>complex_</code></td>
<td><code>__complex__</code></td>
<td><code>std::complex&lt;double&gt;(x)</code></td>
</tr>
<tr>
<td><code>str</code></td>
<td><code>__str__</code></td>
<td><code><a href=
"../../../conversion/lexical_cast.htm#lexical_cast">lexical_cast</a>&lt;std::string&gt;(x)</code></td>
</tr>
</table>
<h3><a name="other-spec"></a>Class Template <code>other</code></h3>
<p>Instances of <code>other&lt;T&gt;</code> can be used in operator
expressions with <a href="#self-spec">self</a>; the result is equivalent
to the same expression with a <code>T</code> object in place of
<code>other&lt;T&gt;</code>. Use <code>other&lt;T&gt;</code> to prevent
construction of a <code>T</code> object in case it is heavyweight, when
no constructor is available, or simply for clarity.</p>
<h4><a name="other-spec-synopsis"></a>Class Template other synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class T&gt;
struct other
{
};
}}
</pre>
<!-- -->
<h3><a name="operator_-spec"></a>Class Template
<code>detail::operator_</code></h3>
<p>Instantiations of <code>detail::operator_&lt;&gt;</code> are used as
the return type of operator expressions involving <code><a href=
"#self-spec">self</a></code>. This should be considered an implementation
detail and is only documented here as a way of showing how the result of
<code>self</code>-expressions match calls to <a href=
"class.html#class_-spec-modifiers">class_&lt;&gt;::def()</a>.</p>
<h4><a name="operator_-spec-synopsis"></a>Class Template
<code>detail::operator_</code> synopsis</h4>
<pre>
namespace boost { namespace python { namespace detail
{
template &lt;<i>unspecified</i>&gt;
struct operator_
{
};
}}}
</pre>
<h2><a name="objects"></a>Objects</h2>
<p><a name="self-spec"><code>self</code></a></p>
<pre>
namespace boost { namespace python
{
using self_ns::self;
}}
</pre>
<h2><a name="examples"></a>Example</h2>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/python/operators.hpp&gt;
#include &lt;boost/operators.hpp&gt;
struct number
: boost::<a href=
"../../../utility/operators.htm#grpd_oprs">integer_arithmetic</a>&lt;number&gt;
{
explicit number(long x_) : x(x_) {}
operator long() const { return x; }
template &lt;class T&gt;
number&amp; operator+=(T const&amp; rhs)
{ x += rhs; return *this; }
template &lt;class T&gt;
number&amp; operator-=(T const&amp; rhs)
{ x -= rhs; return *this; }
template &lt;class T&gt;
number&amp; operator*=(T const&amp; rhs)
{ x *= rhs; return *this; }
template &lt;class T&gt;
number&amp; operator/=(T const&amp; rhs)
{ x /= rhs; return *this; }
template &lt;class T&gt;
number&amp; operator%=(T const&amp; rhs)
{ x %= rhs; return *this; }
long x;
};
using namespace boost::python;
BOOST_PYTHON_MODULE(demo)
{
class_&lt;number&gt;("number", init&lt;long&gt;())
// interoperate with self
.def(self += self)
.def(self + self)
.def(self -= self)
.def(self - self)
.def(self *= self)
.def(self * self)
.def(self /= self)
.def(self / self)
.def(self %= self)
.def(self % self)
// Convert to Python int
.def(int_(self))
// interoperate with long
.def(self += long())
.def(self + long())
.def(long() + self)
.def(self -= long())
.def(self - long())
.def(long() - self)
.def(self *= long())
.def(self * long())
.def(long() * self)
.def(self /= long())
.def(self / long())
.def(long() / self)
.def(self %= long())
.def(self % long())
.def(long() % self)
;
}
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
5 October, 2004
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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<title>Boost.Python - &lt;boost/python/overloads.hpp&gt;</title>
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<h3><a href="../../../../index.htm"><img height="86" width="277"
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<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Header &lt;boost/python/overloads.hpp&gt;</h2>
</td>
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</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href=
"#overload-dispatch-expression"><i>overload-dispatch-expressions</i></a></dt>
<dt><a href= "#OverloadDispatcher-concept">OverloadDispatcher</a> concept</dt>
<dt><a href="#macros">Macros</a></dt>
<dd>
<dl class="page-index">
<dt><a href=
"#BOOST_PYTHON_FUNCTION_OVERLOADS-spec">BOOST_PYTHON_FUNCTION_OVERLOADS</a></dt>
<dt><a href=
"#BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS-spec">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Defines facilities for generating families of overloaded Python
functions and extension class methods from C++ functions and
member functions with default arguments, or from similar families
of C++ overloads</p>
<h2><a name=
"overload-dispatch-expression"></a><i>overload-dispatch-expressions</i></h2>
<p>
An <em>overload-dispatch-expression</em> is used to describe a
family of overloaded methods to be generated for an extension
class. It has the following properties:
<blockquote>
<dl class="properties">
<dt><b>docstring:</b> An <a href="definitions.html#ntbs">ntbs</a>
whose value will bound to the methods' <code>__doc__</code>
attribute</dt>
<dt><b>keywords:</b> A <a href=
"args.html#keyword-expression">keyword-expression</a> which
will be used to name (a trailing subsequence of) the arguments
to the generated methods.</dt>
<dt><b>call policies:</b> An instance of some type which models <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>minimum <a href="definitions.html#arity">arity</a></b>
The minimum number of arguments to be accepted by a generated
method overload.</dt>
<dt><b>maximum <a href="definitions.html#arity">arity</a></b>
The maximum number of arguments to be accepted by a generated
method overload.</dt>
</dl>
</blockquote>
<h2><a name="OverloadDispatcher-concept"></a>OverloadDispatcher Concept</h2>
An OverloadDispatcher <code>X</code> is a class which has a
<em>minimum arity</em> and a <em>maximum arity</em>, and for which
the following following are valid <a
href="#overload-dispatch-expression"><em>overload-dispatch-expression</em></a>s,
with the same minimum and maximum arity as the OverloadDispatcher.
<pre>
X()
X(docstring)
X(docstring, keywords)
X(keywords, docstring)
X()[policies]
X(docstring)[policies]
X(docstring, keywords)[policies]
X(keywords, docstring)[policies]
</pre>
<ul>
<li>If <code>policies</code> are supplied, it must be an instance of a
type which models <a
href="CallPolicies.html#CallPolicies-concept">CallPolicies</a>, and
will be used as the result's call policies. Otherwise the result's
call policies will be an instance of <a
href="default_call_policies.html#default_call_policies-spec">default_call_policies</a>.
<li>If <code>docstring</code> is supplied it must be an <a
href="definitions.html#ntbs">ntbs</a>, and will be used as the result's docstring. Otherwise the result has an empty docstring.
<li>If <code>keywords</code> is supplied it must be the result of a <a
href= "args.html#keyword-expression">keyword-expression</a>
whose length is no greater than <code>X</code>'s maximum
arity, and will be used as the result's keywords. Otherwise
the result's keywords will be empty.
</ul>
<h2><a name="macros"></a>Macros</h2>
<h3><a name=
"BOOST_PYTHON_FUNCTION_OVERLOADS-spec">BOOST_PYTHON_FUNCTION_OVERLOADS(name,&nbsp;func_id,&nbsp;min_args,&nbsp;max_args)</a></h3>
Expands to the definition of an OverloadDispatcher called
<code>name</code> in the current scope which can be used to
generate the following function invocation:
<pre>
func_id(a<small><i>1</i></small>, a<small><i>2</i></small>,...a<small><i>i</i></small>);
</pre>
for all <code>min_args</code> &lt;= <i>i</i> &lt;= <code>max_args</code>.
<h3><a name=
"BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS-spec">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS(name,&nbsp;member_name,&nbsp;min_args,&nbsp;max_args)</a></h3>
Expands to the definition of an OverloadDispatcher called
<code>name</code> in the current scope which can be used to
generate the following function invocation:
<pre>
x.member_name(a<small><i>1</i></small>, a<small><i>2</i></small>,...a<small><i>i</i></small>);
</pre>
for all <code>min_args</code> &lt;= <i>i</i> &lt;=
<code>max_args</code>, where <code>x</code> is a reference to an
object of class type.
<h2><a name="examples"></a>Example(s)</h2>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/def.hpp&gt;
#include &lt;boost/python/args.hpp&gt;
#include &lt;boost/python/tuple.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/python/overloads.hpp&gt;
#include &lt;boost/python/return_internal_reference.hpp&gt;
using namespace boost::python;
tuple f(int x = 1, double y = 4.25, char const* z = &quot;wow&quot;)
{
return make_tuple(x, y, z);
}
BOOST_PYTHON_FUNCTION_OVERLOADS(f_overloads, f, 0, 3)
struct Y {};
struct X
{
Y&amp; f(int x, double y = 4.25, char const* z = &quot;wow&quot;)
{
return inner;
}
Y inner;
};
BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS(f_member_overloads, f, 1, 3)
BOOST_PYTHON_MODULE(args_ext)
{
def(&quot;f&quot;, f,
f_overloads(
args(&quot;x&quot;, &quot;y&quot;, &quot;z&quot;), &quot;This is f's docstring&quot;
));
class_&lt;Y&gt;(&quot;Y&quot;)
;
class_&lt;X&gt;(&quot;X&quot;, &quot;This is X's docstring&quot;)
.def(&quot;f1&quot;, &amp;X::f,
f_member_overloads(
args(&quot;x&quot;, &quot;y&quot;, &quot;z&quot;), &quot;f's docstring&quot;
)[return_internal_reference&lt;&gt;()]
)
;
}
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
15 April, 2003
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
</html>

View File

@@ -1,331 +0,0 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>Boost.Python Pickle Support</title>
<div>
<img src="../../../../boost.png"
alt="boost.png (6897 bytes)"
align="center"
width="277" height="86">
<hr>
<h1>Boost.Python Pickle Support</h1>
Pickle is a Python module for object serialization, also known
as persistence, marshalling, or flattening.
<p>
It is often necessary to save and restore the contents of an object to
a file. One approach to this problem is to write a pair of functions
that read and write data from a file in a special format. A powerful
alternative approach is to use Python's pickle module. Exploiting
Python's ability for introspection, the pickle module recursively
converts nearly arbitrary Python objects into a stream of bytes that
can be written to a file.
<p>
The Boost Python Library supports the pickle module
through the interface as described in detail in the
<a href="http://www.python.org/doc/current/lib/module-pickle.html"
>Python Library Reference for pickle.</a> This interface
involves the special methods <tt>__getinitargs__</tt>,
<tt>__getstate__</tt> and <tt>__setstate__</tt> as described
in the following. Note that Boost.Python is also fully compatible
with Python's cPickle module.
<hr>
<h2>The Boost.Python Pickle Interface</h2>
At the user level, the Boost.Python pickle interface involves three special
methods:
<dl>
<dt>
<strong><tt>__getinitargs__</tt></strong>
<dd>
When an instance of a Boost.Python extension class is pickled, the
pickler tests if the instance has a <tt>__getinitargs__</tt> method.
This method must return a Python tuple (it is most convenient to use
a boost::python::tuple). When the instance is restored by the
unpickler, the contents of this tuple are used as the arguments for
the class constructor.
<p>
If <tt>__getinitargs__</tt> is not defined, <tt>pickle.load</tt>
will call the constructor (<tt>__init__</tt>) without arguments;
i.e., the object must be default-constructible.
<p>
<dt>
<strong><tt>__getstate__</tt></strong>
<dd>
When an instance of a Boost.Python extension class is pickled, the
pickler tests if the instance has a <tt>__getstate__</tt> method.
This method should return a Python object representing the state of
the instance.
<p>
<dt>
<strong><tt>__setstate__</tt></strong>
<dd>
When an instance of a Boost.Python extension class is restored by the
unpickler (<tt>pickle.load</tt>), it is first constructed using the
result of <tt>__getinitargs__</tt> as arguments (see above). Subsequently
the unpickler tests if the new instance has a <tt>__setstate__</tt>
method. If so, this method is called with the result of
<tt>__getstate__</tt> (a Python object) as the argument.
</dl>
The three special methods described above may be <tt>.def()</tt>'ed
individually by the user. However, Boost.Python provides an easy to use
high-level interface via the
<strong><tt>boost::python::pickle_suite</tt></strong> class that also
enforces consistency: <tt>__getstate__</tt> and <tt>__setstate__</tt>
must be defined as pairs. Use of this interface is demonstrated by the
following examples.
<hr>
<h2>Examples</h2>
There are three files in <a href="../../test/"
><tt>boost/libs/python/test</tt></a> that show how to
provide pickle support.
<hr>
<h3><a href="../../test/pickle1.cpp"><tt>pickle1.cpp</tt></a></h3>
The C++ class in this example can be fully restored by passing the
appropriate argument to the constructor. Therefore it is sufficient
to define the pickle interface method <tt>__getinitargs__</tt>.
This is done in the following way:
<ul>
<li>1. Definition of the C++ pickle function:
<pre>
struct world_pickle_suite : boost::python::pickle_suite
{
static
boost::python::tuple
getinitargs(world const&amp; w)
{
return boost::python::make_tuple(w.get_country());
}
};
</pre>
<li>2. Establishing the Python binding:
<pre>
class_&lt;world&gt;("world", args&lt;const std::string&amp;&gt;())
// ...
.def_pickle(world_pickle_suite())
// ...
</pre>
</ul>
<hr>
<h3><a href="../../test/pickle2.cpp"><tt>pickle2.cpp</tt></a></h3>
The C++ class in this example contains member data that cannot be
restored by any of the constructors. Therefore it is necessary to
provide the <tt>__getstate__</tt>/<tt>__setstate__</tt> pair of
pickle interface methods:
<ul>
<li>1. Definition of the C++ pickle functions:
<pre>
struct world_pickle_suite : boost::python::pickle_suite
{
static
boost::python::tuple
getinitargs(const world&amp; w)
{
// ...
}
static
boost::python::tuple
getstate(const world&amp; w)
{
// ...
}
static
void
setstate(world&amp; w, boost::python::tuple state)
{
// ...
}
};
</pre>
<li>2. Establishing the Python bindings for the entire suite:
<pre>
class_&lt;world&gt;("world", args&lt;const std::string&amp;&gt;())
// ...
.def_pickle(world_pickle_suite())
// ...
</pre>
</ul>
<p>
For simplicity, the <tt>__dict__</tt> is not included in the result
of <tt>__getstate__</tt>. This is not generally recommended, but a
valid approach if it is anticipated that the object's
<tt>__dict__</tt> will always be empty. Note that the safety guard
described below will catch the cases where this assumption is violated.
<hr>
<h3><a href="../../test/pickle3.cpp"><tt>pickle3.cpp</tt></a></h3>
This example is similar to <a
href="../../test/pickle2.cpp"><tt>pickle2.cpp</tt></a>. However, the
object's <tt>__dict__</tt> is included in the result of
<tt>__getstate__</tt>. This requires a little more code but is
unavoidable if the object's <tt>__dict__</tt> is not always empty.
<hr>
<h2>Pitfall and Safety Guard</h2>
The pickle protocol described above has an important pitfall that the
end user of a Boost.Python extension module might not be aware of:
<p>
<strong>
<tt>__getstate__</tt> is defined and the instance's <tt>__dict__</tt>
is not empty.
</strong>
<p>
The author of a Boost.Python extension class might provide a
<tt>__getstate__</tt> method without considering the possibilities
that:
<p>
<ul>
<li>
his class is used in Python as a base class. Most likely the
<tt>__dict__</tt> of instances of the derived class needs to be
pickled in order to restore the instances correctly.
<p>
<li>
the user adds items to the instance's <tt>__dict__</tt> directly.
Again, the <tt>__dict__</tt> of the instance then needs to be
pickled.
</ul>
<p>
To alert the user to this highly unobvious problem, a safety guard is
provided. If <tt>__getstate__</tt> is defined and the instance's
<tt>__dict__</tt> is not empty, Boost.Python tests if the class has
an attribute <tt>__getstate_manages_dict__</tt>. An exception is
raised if this attribute is not defined:
<pre>
RuntimeError: Incomplete pickle support (__getstate_manages_dict__ not set)
</pre>
To resolve this problem, it should first be established that the
<tt>__getstate__</tt> and <tt>__setstate__</tt> methods manage the
instances's <tt>__dict__</tt> correctly. Note that this can be done
either at the C++ or the Python level. Finally, the safety guard
should intentionally be overridden. E.g. in C++ (from
<a href="../../test/pickle3.cpp"><tt>pickle3.cpp</tt></a>):
<pre>
struct world_pickle_suite : boost::python::pickle_suite
{
// ...
static bool getstate_manages_dict() { return true; }
};
</pre>
Alternatively in Python:
<pre>
import your_bpl_module
class your_class(your_bpl_module.your_class):
__getstate_manages_dict__ = 1
def __getstate__(self):
# your code here
def __setstate__(self, state):
# your code here
</pre>
<hr>
<h2>Practical Advice</h2>
<ul>
<li>
In Boost.Python extension modules with many extension classes,
providing complete pickle support for all classes would be a
significant overhead. In general complete pickle support should
only be implemented for extension classes that will eventually
be pickled.
<p>
<li>
Avoid using <tt>__getstate__</tt> if the instance can also be
reconstructed by way of <tt>__getinitargs__</tt>. This automatically
avoids the pitfall described above.
<p>
<li>
If <tt>__getstate__</tt> is required, include the instance's
<tt>__dict__</tt> in the Python object that is returned.
</ul>
<hr>
<h2>Light-weight alternative: pickle support implemented in Python</h2>
<h3><a href="../../test/pickle4.cpp"><tt>pickle4.cpp</tt></a></h3>
The <tt>pickle4.cpp</tt> example demonstrates an alternative technique
for implementing pickle support. First we direct Boost.Python via
the <tt>class_::enable_pickling()</tt> member function to define only
the basic attributes required for pickling:
<pre>
class_&lt;world&gt;("world", args&lt;const std::string&amp;&gt;())
// ...
.enable_pickling()
// ...
</pre>
This enables the standard Python pickle interface as described
in the Python documentation. By &quot;injecting&quot; a
<tt>__getinitargs__</tt> method into the definition of the wrapped
class we make all instances pickleable:
<pre>
# import the wrapped world class
from pickle4_ext import world
# definition of __getinitargs__
def world_getinitargs(self):
return (self.get_country(),)
# now inject __getinitargs__ (Python is a dynamic language!)
world.__getinitargs__ = world_getinitargs
</pre>
See also the
<a href="../tutorial/doc/html/python/techniques.html#python.extending_wrapped_objects_in_python"
>tutorial section</a> on injecting additional methods from Python.
<hr>
&copy; Copyright Ralf W. Grosse-Kunstleve 2001-2004. Permission to copy,
use, modify, sell and distribute this document is granted provided this
copyright notice appears in all copies. This document is provided "as
is" without express or implied warranty, and with no claim as to its
suitability for any purpose.
<p>
Updated: Feb 2004.
</div>

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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - Known Working Platforms and Compilers</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Known Working Platforms and Compilers</h2>
</td>
</tr>
</table>
<hr>
Please see
our <a
href="http://boost.sourceforge.net/regression-logs">regression
logs</a> for up-to-date information. Note that logs not marked
otherwise reflect the CVS state, not the condition of the release.
<p>
Earlier versions of <b>Boost.Python</b> have been successfully
tested on the following platforms and compilers.
<dl class="page-index">
<dt>Unix Platforms:</dt>
<dd>
<dl>
<dt>with Python <a href="http://www.python.org/2.2">2.2</a> and <a
href="http://www.python.org/2.2.2">2.2.2b1</a>:</dt>
<dd>
<dl>
<dt><a href="http://gcc.gnu.org">GCC</a> 2.95.3, 2.96, 3.0.4,
3.1, and 3.2 on <a href="http://www.redhat.com">RedHat Linux 7.3</a>
for Intel x86</dt>
<dt>Tru64 CXX 6.5.1 on OSF v. 5.1 for Dec/Compaq
Alpha</dt>
<dt>
MIPSPro 7.3.1.2m on <a href=
"http://www.sgi.com/software/irix6.5/">IRIX 6.5</a> for SGI
mips</dt>
<dt><a href="http://gcc.gnu.org">GCC 3.1</a> on SunOS 5.8</dt>
</dl>
</dd>
<dt>with Python <a href=
"http://www.python.org/2.2.1">2.2.1</a></dt>
<dd>
<dl>
<dt>KCC 3.4d on OSF v. 5.1 for Dec/Compaq Alpha</dt>
<dt>KCC 3.4d</a> on AIX</dt>
</dl>
</dd>
</dl>
<br>
</dd>
<dt>Microsoft Windows XP Professional with Python <a href=
"http://www.python.org/2.2">2.2</a>, <a href=
"http://www.python.org/2.2.1">2.2.1</a>, and <a href=
"http://www.python.org/2.2.2">2.2.2b1</a>:</dt>
<dd>
<dl>
<dt><a href=
"http://msdn.microsoft.com/visualc/default.asp">Microsoft Visual
C++</a> 6, 7, and 7.1 beta</dt>
<dt><a href=
"http://msdn.microsoft.com/visualc/default.asp">Microsoft Visual
C++ 6</a> with <a href="http://www.stlport.org">STLPort
4.5.3</a></dt>
<dt><a href=
"http://www.metrowerks.com/MW/Develop/Desktop/Windows/Professional/Default.htm">
Metrowerks CodeWarrior</a> 7.2, 8.0, 8.2 and 8.3 beta</dt>
<dt><a href=
"http://www.intel.com/software/products/compilers/c60/">Intel
C++</a> 5.0, 6.0, and 7.0 beta</dt>
<dt><a href=
"http://www.intel.com/software/products/compilers/c60/">Intel C++
5.0</a> with <a href="http://www.stlport.org">STLPort
4.5.3</a></dt>
<dt><a href="http://www.cygwin.com">Cygwin</a> <a href=
"http://gcc.gnu.org">GCC</a> 3.0.4 and 3.2</dt>
<dt><a href="http://www.mingw.org">MinGW-1.1</a> (<a href=
"http://gcc.gnu.org">GCC 2.95.3-5</a>)</dt>
<dt><a href="http://www.mingw.org">MinGW-2.0</a> (<a href=
"http://gcc.gnu.org">GCC 3.2</a>)</dt>
</dl>
</dd>
</dl>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
</html>

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