![]() |
Home | Libraries | People | FAQ | More |
Boost.Python requires Python 2.2 [1] or newer.
There are two basic models for combining C++ and Python:
The key distinction between extending and embedding is the location of
the C++ main()
function: in the Python interpreter executable, or in some other program,
respectively. Note that even when embedding Python in another program,
extension
modules are often the best way to make C/C++ functionality accessible to
Python code, so the use of extension modules is really at the heart
of both models.
Except in rare cases, extension modules are built as dynamically-loaded
libraries with a single entry point, which means you can change them without
rebuilding either the other extension modules or the executable containing
main().
There is no need to “install Boost” in order to get started using Boost.Python. These instructions use http://boost.org/build projects, which will build those binaries as soon as they're needed. Your first tests may take a little longer while you wait for Boost.Python to build, but doing things this way will save you from worrying about build intricacies like which library binaries to use for a specific compiler configuration and figuring out the right compiler options to use yourself.
![]() |
Note |
|---|---|
|
Of course it's possible to use other build systems to build Boost.Python and its extensions, but they are not officially supported by Boost. Moreover 99% of all “I can't build Boost.Python” problems come from trying to use another build system without first following these instructions. If you want to use another system anyway, we suggest that you follow these instructions, and then invoke bjam
with the
options to dump the build commands it executes to a file, so you can see what your alternate build system needs to do. |
1. Get Boost; see sections 1 and 2 of the Boost Getting Started Guide.
2. Get the bjam build
driver. See section 5 of the Boost Getting
Started Guide.
3. cd into the example/quickstart/ directory of your Boost.Python installation,
which contains a small example project.
4. Invoke bjam. Replace
the “stage“ argument
from the example invocation from section 5 of the Boost Getting
Started Guide with “test,“
to build all the test targets. Also add the argument “--verbose-test”
to see the output generated by the tests when they are run. On Windows,
your bjam invocation
might look something like:
C:\\boost_1_34_0\\...\\quickstart> bjam toolset=msvc --verbose-test test
and on Unix variants, perhaps,
~/boost_1_34_0/.../quickstart$ bjam toolset=gcc --verbose-test test
![]() |
Note |
|---|---|
For the sake of concision, the rest of this guide will use unix-style forward slashes in pathnames instead of the backslashes with which Windows users may be more familiar. The forward slashes should work everywhere except in Command Prompt windows, where you should use backslashes. |
If you followed this procedure successfully, you will have built an extension
module called extending
and tested it by running a Python script called test_extending.py.
You will also have built and run a simple application called embedding that embeds python.
If you're seeing lots of compiler and/or linker error messages, it's
probably because Boost.Build is having trouble finding your Python installation.
You might want to pass the --debug-configuration option to bjam the first few times you invoke
it, to make sure that Boost.Build is correctly locating all the parts
of your Python installation. If it isn't, consider Configuring
Boost.Build as detailed below.
If you're still having trouble, Someone on one of the following mailing lists may be able to help:
Rejoice! If you're new to Boost.Python, at this point it might be a good idea to ignore build issues for a while and concentrate on learning the library by going through the Tutorial and perhaps some of the Reference Manual, trying out what you've learned about the API by modifying the quickstart project.
If you're content to keep your extension module forever in one source
file called extending.cpp,
inside your Boost.Python distribution, and import it forever as extending, then you can stop here.
However, it's likely that you will want to make a few changes. There
are a few things you can do without having to learn Boost.Build
in depth.
The project you just built is specified in two files in the current directory:
boost-build.jam, which tells bjam
where it can find the interpreted code of the Boost build system, and
Jamroot, which describes
the targets you just built. These files are heavily commented, so they
should be easy to modify. Take care, however, to preserve whitespace.
Punctuation such as ; will
not be recognized as intended by bjam
if it is not surrounded by whitespace.
You'll probably want to copy this project elsewhere so you can change it without modifying your Boost distribution. To do that, simply
a. copy the entire example/quickstart/ directory into a new directory.
b. In the new copies of boost-build.jam
and Jamroot, locate
the relative path near the top of the file that is clearly marked by
a comment, and edit that path so that it refers to the same directory
your Boost distribution as it referred to when the file was in its
original location in the example/quickstart/ directory.
For example, if you moved the project from /home/dave/boost_1_34_0/libs/python/example/quickstart to /home/dave/my-project, you could change the first
path in boost-build.jam from
../../../../tools/build/v2
to
/home/dave/boost_1_34_0/tools/build/v2
and change the first path in Jamroot
from
../../../..
to
/home/dave/boost_1_34_0
The names of additional source files involved in building your extension
module or embedding application can be listed in Jamroot
right alongside extending.cpp
or embedding.cpp respectively. Just be sure to
leave whitespace around each filename:
… file1.cpp file2.cpp file3.cpp …
Naturally, if you want to change the name of a source file you can
tell Boost.Build about it by editing the name in Jamroot.
The name of the extension module is determined by two things:
1. the name in Jamroot
immediately following python-extension,
and 2. the name passed to
BOOST_PYTHON_MODULE
in extending.cpp.
To change the name of the extension module from extending
to hello, you'd edit
Jamroot, changing
python-extension extending : extending.cpp ;
to
python-extension hello : extending.cpp ;
and you'd edit extending.cpp, changing
BOOST_PYTHON_MODULE(extending)
to
BOOST_PYTHON_MODULE(hello)
Since Boost.Python is a separately-compiled (as opposed to header-only) library, its user relies on the
services of a Boost.Python library binary.
If you need a regular installation of the Boost.Python library binaries
on your system, the Boost Getting
Started Guide will walk you through the steps of creating one.
If building binaries from source, you might want to supply the --with-python
argument to bjam (or
the --with-libraries=python
argument to configure),
so only the Boost.Python binary will be built, rather than all the Boost
binaries.
As described in the Reference Manual,
a file called user-config.jam in your home directory is used
to specify the tools and libraries available to the build system. You
may need to create or edit user-config.jam
to tell Boost.Build how to invoke Python, #include
its headers, and link with its libraries.
![]() |
Note |
|---|---|
If you are using a unix-variant OS and you ran Boost's |
If you have one fairly “standard” python installation for your platform,
you might not need to do anything special to describe it. If you haven't
configured python in user-config.jam
(and you don't specify --without-python on the Boost.Build command line),
Boost.Build will automatically execute the equivalent of
import toolset : using ; using python ;
which automatically looks for Python in the most likely places. However,
that only happens when using the Boost.Python project file (e.g. when
referred to by another project as in the quickstart method). If instead
you are linking against separately-compiled Boost.Python binaries, you
should set up a user-config.jam
file with at least the minimal incantation above.
If you have several versions of Python installed, or Python is installed
in an unusual way, you may want to supply any or all of the following
optional parameters to using
python.
version
the version of Python to use. Should be in Major.Minor format,
for example, 2.3. Do
not include the subminor version (i.e. not
2.5.1). If you have multiple Python versions
installed, the version will usually be the only configuration argument
required.
cmd-or-prefix
preferably, a command that invokes a Python interpreter. Alternatively, the installation prefix for Python libraries and header files. Only use the alternative formulation if there is no appropriate Python executable available.
includes
the #include
paths for Python headers. Normally the correct path(s) will be
automatically deduced from version
and/or cmd-or-prefix.
libraries
the path to Python library binaries. On MacOS/Darwin, you can also
pass the path of the Python framework. Normally the correct path(s)
will be automatically deduced from version
and/or cmd-or-prefix.
condition
if specified, should be a set of Boost.Build properties that are matched against the build configuration when Boost.Build selects a Python configuration to use. See examples below for details.
extension-suffix
A string to append to the name of extension modules before the true filename extension. You almost certainly don't need to use this. Usually this suffix is only used when targeting a Windows debug build of Python, and will be set automatically for you based on the value of the |python-debugging|_ feature. However, at least one Linux distribution (Ubuntu Feisty Fawn) has a specially configured <python-debugging> package that claims to use such a suffix.
Note that in the examples below, case and especially whitespace are significant.
If you have both python 2.5 and python 2.4 installed, user-config.jam might contain
using python : 2.5 ; # Make both versions of Python available using python : 2.4 ; # To build with python 2.4, add python=2.4 # to your command line.
The first version configured (2.5) becomes the default. To build
against python 2.4, add python=2.4
to the bjam command
line.
If you have python installed in an unusual location, you might
supply the path to the interpreter in the cmd-or-prefix
parameter:
using python : : /usr/local/python-2.6-beta/bin/python ;
If you have a separate build of Python for use with a particular
toolset, you might supply that toolset in the condition
parameter:
using python ; # use for most toolsets # Use with Intel C++ toolset using python : # version : c:\\Devel\\Python-2.5-IntelBuild\\PCBuild\\python # cmd-or-prefix : # includes : # libraries : <toolset>intel # condition ;
If you have downloaded the Python sources and built both the normal
and the “python debugging_” builds from source
on Windows, you might see:
using python : 2.5 : C:\\src\\Python-2.5\\PCBuild\\python ; using python : 2.5 : C:\\src\\Python-2.5\\PCBuild\\python_d : # includes : # libs : <python-debugging>on ;
You can set up your user-config.jam so a bjam built under Windows
can build/test both Windows and Cygwin_ python extensions. Just
pass <target-os>cygwin
in the condition
parameter for the cygwin python installation:
# windows installation using python ; # cygwin installation using python : : c:\\cygwin\\bin\\python2.5 : : : <target-os>cygwin ;
when you put target-os=cygwin in your build request, it should build with the cygwin version of python: _
bjam target-os=cygwin toolset=gcc
This is supposed to work the other way, too (targeting windows python with a Cygwin bjam) but it seems as though the support in Boost.Build's toolsets for building that way is broken at the time of this writing.
Note that because of the way Boost.Build currently selects target alternatives, you might have be very explicit in your build requests. For example, given:
using python : 2.5 ; # a regular windows build using python : 2.4 : : : : <target-os>cygwin ;
building with
bjam target-os=cygwin
will yield an error. Instead, you'll need to write
bjam target-os=cygwin/python=2.4
If—instead of letting Boost.Build construct and link with the right libraries automatically—you choose to use a pre-built Boost.Python library, you'll need to think about which one to link with. The Boost.Python binary comes in both static and dynamic flavors. Take care to choose the right flavor for your application. [3]
The dynamic library is the safest and most-versatile choice:
It might be appropriate to use the static Boost.Python library in any of the following cases:
1. If you should ever have occasion to #include
"python.h" directly in
a translation unit of a program using Boost.Python, use #include "boost/python/detail/wrap_python.hpp"
instead. It handles several issues necessary for use with Boost.Python,
one of which is mentioned in the next section.
2. Be sure not to #include
any system headers before wrap_python.hpp.
This restriction is actually imposed by Python, or more properly, by
Python's interaction with your operating system. See http://docs.python.org/ext/simpleExample.html
for details.
Python can be built in a special “python debugging” configuration that adds extra checks and instrumentation that can be very useful for developers of extension modules. The data structures used by the debugging configuration contain additional members, so a Python executable built with python debugging enabled cannot be used with an extension module or library compiled without it, and vice-versa.
Since pre-built “python debugging” versions of the Python executable
and libraries are not supplied with most distributions of Python, _ and we didn't want to force our users to build
them, Boost.Build does not automatically enable python debugging in its
debug build variant (which
is the default). Instead there is a special build property called python-debugging that, when used as a build
property, will define the right preprocessor symbols and select the right
libraries to link with.
On unix-variant platforms, the debugging versions of Python's data structures
will only be used if the symbol Py_DEBUG
is defined. On many windows compilers, when extension modules are built
with the preprocessor symbol _DEBUG,
Python defaults to force linking with a special debugging version of
the Python DLL. Since that symbol is very commonly used even when Python
is not present, Boost.Python temporarily undefines _DEBUG when Python.h
is #included from boost/python/detail/wrap_python.hpp
- unless BOOST_DEBUG_PYTHON
is defined. The upshot is that if you want “python debugging”and
you aren't using Boost.Build, you should make sure BOOST_DEBUG_PYTHON
is defined, or python debugging will be suppressed.
To run the full test suite for Boost.Python, invoke bjam
in the test subdirectory
of your Boost.Python distribution.
If you are using a version of Python prior to 2.4.1 with a MinGW prior
to 3.0.0 (with binutils-2.13.90-20030111-1), 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 Installing
Python Modules to create libpythonXX.a,
where XX corresponds
to the major and minor version numbers of your Python installation.
[1] Note that although we tested earlier versions of Boost.Python with Python 2.2, and we don't think we've done anything to break compatibility, this release of Boost.Python may not have been tested with versions of Python earlier than 2.4, so we're not 100% sure that python 2.2 and 2.3 are supported.
[2]
configure overwrites
the existing user-config.jam
in your home directory (if any) after making a backup of the old
version.
[3] Information about how to identify the static and dynamic builds of Boost.Python on Windows / Unix variants
[4] Because of the way most *nix platforms share symbols among dynamically-loaded objects, I'm not certain that extension modules built with different compiler toolsets will always use different copies of the Boost.Python library when loaded into the same Python instance. Not using different libraries could be a good thing if the compilers have compatible ABIs, because extension modules built with the two libraries would be interoperable. Otherwise, it could spell disaster, since an extension module and the Boost.Python library would have different ideas of such things as class layout. I would appreciate someone doing the experiment to find out what happens.