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<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>Basic Interface</title>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Basic Interface</b></font>
</td>
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<p>
Class <tt>object</tt> wraps <tt>PyObject*</tt>. All the intricacies of dealing with
<tt>PyObject</tt>s such as managing reference counting are handled by the
<tt>object</tt> class. C++ object interoperability is seamless. Boost.Python C++
<tt>object</tt>s can in fact be explicitly constructed from any C++ object.</p>
<p>
To illustrate, this Python code snippet:</p>
<code><pre>
<span class=identifier>def </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>x</span><span class=special>, </span><span class=identifier>f</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=literal>'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=literal>'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>f</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=identifier>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></pre></code>
<p>
Can be rewritten in C++ using Boost.Python facilities this way:</p>
<code><pre>
<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>f</span><span class=special>) </span><span class=special>{
</span><span class=keyword>if </span><span class=special>(</span><span class=identifier>f </span><span class=special>== </span><span class=string>&quot;foo&quot;</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>&quot;bar&quot;</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>&quot;items&quot;</span><span class=special>) </span><span class=special>+= </span><span class=identifier>f</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></pre></code>
<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>
<table border="0">
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</tr>
</table>
<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
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<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>Building an Extension Module </title>
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<td width="85%"> <font size="6" face="Verdana, Arial, Helvetica, sans-serif"><strong>Building
an Extension Module</strong></font> </td>
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<h2>Building Boost.Python</h2>
<p>Every Boost.Python extension module must be linked with the boost_python shared
library. To build boost_python, use <a href="file:///C:/dev/boost/tools/build/index.html">Boost.Build</a>
in the usual way from the <tt>libs/python/build</tt> 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>
<h2>Configuration</h2>
<p>You may need to configure the following variables to point Boost.Build at your
Python installation:</p>
<table width="95%" border="0" align="center">
<tr class="table_title">
<td width="24%">Variable Name</td>
<td width="20%">Semantics</td>
<td width="21%">Default</td>
<td width="35%">Notes</td>
</tr>
<tr class="table_cells">
<td><tt>PYTHON_ROOT</tt></td>
<td> The root directory of your Python installation</td>
<td>Windows: <tt><br>
c:/tools/python <br>
Unix: /usr/local</tt></td>
<td>On Unix, this is the <tt>--with-prefix=</tt> directory used to configure
Python</td>
</tr>
<tr class="table_cells">
<td><tt>PYTHON_VERSION</tt></td>
<td> The The 2-part python Major.Minor version number</td>
<td>Windows: 2.1 Unix: 1.5</td>
<td>Be sure not to include a third number, e.g. not &quot;2.2.1&quot;, even
if that's the version you have.</td>
</tr>
<tr class="table_cells">
<td><tt>PYTHON_INCLUDES</tt></td>
<td> path to Python <span class="preprocessor">#include</span> directories</td>
<td>Autoconfigured from <tt><br>
PYTHON_ROOT</tt></td>
<td>&nbsp;</td>
</tr>
<tr class="table_cells">
<td><tt>PYTHON_LIB_PATH</tt></td>
<td>path to Python library object.</td>
<td>Autoconfigured from <tt><br>
PYTHON_ROOT</tt></td>
<td>&nbsp;</td>
</tr>
<tr class="table_cells">
<td><tt>PYTHON_STDLIB_PATH</tt></td>
<td>path to Python standard library modules</td>
<td>Autoconfigured from <tt><br>
PYTHON_ROOT</tt></td>
<td>&nbsp;</td>
</tr>
<tr class="table_cells">
<td height="129"><tt>CYGWIN_ROOT</tt></td>
<td> path to the user's Cygwin installation</td>
<td>Autoconfigured from <tt><br>
PYTHON_ROOT</tt></td>
<td><a href="http://www.cygwin.com">Cygwin</a> only. This and the following
two settings are useful when building with multiple toolsets on Windows,
since Cygwin requires a different build of Python.</td>
</tr>
<tr class="table_cells">
<td height="21"><tt>GCC_PYTHON_ROOT</tt></td>
<td>path to the user's Cygwin Python installation</td>
<td><tt>$(CYGWIN_ROOT)<br>
/usr/local</tt></td>
<td> <a href="http://www.cygwin.com">Cygwin</a> only</td>
</tr>
<tr class="table_cells">
<td><tt>GCC_DEBUG_PYTHON_ROOT</tt></td>
<td> path to the user's Cygwin <a href="#variants">pydebug</a>
build</td>
<td><tt>$(CYGWIN_ROOT)<br>
/usr/local/pydebug</tt></td>
<td> <a href="http://www.cygwin.com">Cygwin</a> only</td>
</tr>
</table>
<h2>Results</h2>
<p>The build process will create a <tt>libs/python/build/bin-stage</tt> subdirectory
of the boost root (or of <tt>$(ALL_LOCATE_TARGET)</tt>, 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 bin-stage 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 bin-stage.</p>
<h2>Testing</h2>
<p>To build and test Boost.Python from within the <tt>libs/python/build directory</tt>,
invoke</p>
<pre> bjam -sTOOLS=<a href="../../../tools/build/index.html">toolset</a> test</pre>
<p>This will update all of the Boost.Python v1 test and example targets. The tests
are relatively quiet by default. To get more-verbose output, you might try</p>
<pre> bjam -sTOOLS=<a href="../../../tools/build/index.html">toolset</a> -sPYTHON_TEST_ARGS=-v test</pre>
<p>which will print each test's Python code with the expected output as it passes.</p>
<h2>Building your Extension Module</h2>
<p>Though there are other approaches, the easiest way to build an extension module
using Boost.Python is with Boost.Build. Until Boost.Build v2 is released, cross-project
build dependencies are not supported, so it works most smoothly if you add a
new subproject to your boost installation. The <tt>libs/python/example</tt>
subdirectory of your boost installation contains a minimal example (along with
many extra sources). To copy the example subproject:</p>
<ol>
<li> Create a new subdirectory in,<tt> libs/python</tt>, say <tt>libs/python/my_project</tt>.</li>
<li> Copy <a href="../example/Jamfile"><tt>libs/python/example/Jamfile</tt></a>
to your new directory.</li>
<li> Edit the Jamfile as appropriate for your project. You'll want to change
the <tt>subproject</tt> rule invocation at the top, and the names of some
of the source files and/or targets.</li>
</ol>
<p>If you can't modify or copy your boost installation, the alternative is to
create your own Boost.Build project. A similar example you can use as a starting
point is available in <a href="../example/project.zip">this archive</a>. You'll
need to edit the Jamfile and Jamrules files, depending on the relative location
of your Boost installation and the new project. Note that automatic testing
of extension modules is not available in this configuration.</p>
<h2>Build Variants</h2>
<p>Three variant configurations of all python-related targets are supported, and
can be selected by setting the BUILD variable:</p>
<p> * <tt>release</tt> (optimization, <tt>-DNDEBUG</tt>)<br>
* <tt>debug</tt> (no optimization <tt>-D_DEBUG</tt>)<br>
* <tt>debug-python</tt> (no optimization, <tt>-D_DEBUG -DBOOST_DEBUG_PYTHON</tt>)</p>
<p>The first two variants of the boost_python library are built by default, and
are compatible with the default Python distribution. The debug-python variant
corresponds to a specially-built debugging version of Python. On Unix platforms,
this python is built by adding <tt>--with-pydebug</tt> when configuring the
Python build. On Windows, the debugging version of Python is generated by the
&quot;Win32 Debug&quot; target of the PCBuild.dsw Visual C++ 6.0 project in
the PCBuild subdirectory of your Python distribution. Extension modules built
with Python debugging enabled are not link-compatible 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 debug 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 force 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 <a href="../../../boost/python/detail/wrap_python.hpp"><tt>boost/python/detail/wrap_python.hpp</tt></a>
to temporarily undefine <tt>_DEBUG</tt> when <tt>Python.h</tt> is <span class="preprocessor">#included</span>
- unless <tt>BOOST_DEBUG_PYTHON</tt> is defined.</p>
<p>If you want the extra runtime checks available with the debugging version of
the library, <span class="preprocessor">#define</span> <tt>BOOST_DEBUG_PYTHON</tt>
to re-enable python debuggin, and link with the debug-python variant of boost_python.</p>
<p>If you do not <span class="preprocessor">#define</span> <tt>BOOST_DEBUG_PYTHON</tt>,
be sure that any source files in your extension module <span class="preprocessor">#include</span>
<tt>&lt;boost/python/detail/wrap_python.hpp&gt;</tt> instead of the usual <tt>Python.h</tt>,
or you will have link incompatibilities.</p>
<code></code>
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<td width="30"><a href="../index.html"><img src="theme/u_arr.gif" border="0"></a></td>
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</tr>
</table>
<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Building Hello World</b></font>
</td>
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<br>
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<a name="from_start_to_finish"></a><h2>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: <b>bjam</b>.</p>
<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">
building.html</a>.
After this brief <i>bjam</i> tutorial, we should have built two DLLs:</p>
<ul><li>boost_python.dll</li><li>hello.pyd</li></ul><p>
if you are on Windows, and</p>
<ul><li>libboost_python.so</li><li>hello.so</li></ul><p>
if you are on Unix.</p>
<p>
The tutorial example can be found in the directory:
<tt>libs/python/example/tutorial</tt>. There, you can find:</p>
<ul><li>hello.cpp</li><li>Jamfile</li></ul><p>
The <tt>hello.cpp</tt> file is our C++ hello world example. The <tt>Jamfile</tt> is a
minimalist <i>bjam</i> script that builds the DLLs for us.</p>
<p>
Before anything else, you should have the bjam executable in your boost
directory. Pre-built Boost.Jam executables are available for most
platforms. For example, a pre-built Microsoft Windows bjam executable can
be downloaded <a href="http://boost.sourceforge.net/jam-executables/bin.ntx86/bjam.zip">
here</a>.
The complete list of bjam pre-built executables can be found <a href="../../../../../tools/build/index.html#Jam">
here</a>.</p>
<a name="lets_jam_"></a><h2>Lets Jam!</h2><p>
<img src="theme/jam.png"></img></p>
<p>
Here is our minimalist Jamfile:</p>
<code><pre>
subproject libs/python/example/tutorial ;
SEARCH on python.jam = $(BOOST_BUILD_PATH) ;
include python.jam ;
extension hello # Declare a Python extension called hello
: hello.cpp # source
&lt;dll&gt;../../build/boost_python # dependencies
;
</pre></code><p>
First, we need to specify our location in the boost project hierarchy.
It so happens that the tutorial example is located in <tt>/libs/python/example/tutorial</tt>.
Thus:</p>
<code><pre>
subproject libs/python/example/tutorial ;
</pre></code><p>
Then we will include the definitions needed by Python modules:</p>
<code><pre>
SEARCH on python.jam = $(BOOST_BUILD_PATH) ;
include python.jam ;
</pre></code><p>
Finally we declare our <tt>hello</tt> extension:</p>
<code><pre>
extension hello # Declare a Python extension called hello
: hello.cpp # source
&lt;dll&gt;../../build/boost_python # dependencies
;
</pre></code><a name="running_bjam"></a><h2>Running bjam</h2><p>
<i>bjam</i> is run using your operating system's command line interpreter.</p>
<blockquote><p>Start it up.</p></blockquote><p>
Make sure that the environment is set so that we can invoke the C++
compiler. With MSVC, that would mean running the <tt>Vcvars32.bat</tt> batch
file. For instance:</p>
<code><pre>
<span class=identifier>C</span><span class=special>:\</span><span class=identifier>Program </span><span class=identifier>Files</span><span class=special>\</span><span class=identifier>Microsoft </span><span class=identifier>Visual </span><span class=identifier>Studio</span><span class=special>\</span><span class=identifier>VC98</span><span class=special>\</span><span class=identifier>bin</span><span class=special>\</span><span class=identifier>Vcvars32</span><span class=special>.</span><span class=identifier>bat
</span></pre></code>
<p>
Some environment variables will have to be setup for proper building of our
Python modules. Example:</p>
<code><pre>
<span class=identifier>set </span><span class=identifier>PYTHON_ROOT</span><span class=special>=</span><span class=identifier>c</span><span class=special>:/</span><span class=identifier>dev</span><span class=special>/</span><span class=identifier>tools</span><span class=special>/</span><span class=identifier>python
</span><span class=identifier>set </span><span class=identifier>PYTHON_VERSION</span><span class=special>=</span><span class=number>2.2
</span></pre></code>
<p>
The above assumes that the Python installation is in <tt>c:/dev/tools/python</tt>
and that we are using Python version 2.2. You'll have to tweak this path
appropriately. <img src="theme/note.gif"></img> Be sure not to include a third number, e.g. <b>not</b> &quot;2.2.1&quot;,
even if that's the version you have.</p>
<p>
Now we are ready... Be sure to <tt>cd</tt> to <tt>libs/python/example/tutorial</tt>
where the tutorial <tt>&quot;hello.cpp&quot;</tt> and the <tt>&quot;Jamfile&quot;</tt> is situated.</p>
<p>
Finally:</p>
<code><pre>
<span class=identifier>bjam </span><span class=special>-</span><span class=identifier>sTOOLS</span><span class=special>=</span><span class=identifier>msvc
</span></pre></code>
<p>
We are again assuming that we are using Microsoft Visual C++ version 6. If
not, then you will have to specify the appropriate tool. See
<a href="../../../../../tools/build/index.html">
Building Boost Libraries</a> for
further details.</p>
<p>
It should be building now:</p>
<code><pre>
cd C:\dev\boost\libs\python\example\tutorial
bjam -sTOOLS=msvc
...patience...
...found 1703 targets...
...updating 40 targets...
</pre></code><p>
And so on... Finally:</p>
<code><pre>
vc-C++ ..\..\..\..\libs\python\example\tutorial\bin\hello.pyd\msvc\debug\
runtime-link-dynamic\hello.obj
hello.cpp
vc-Link ..\..\..\..\libs\python\example\tutorial\bin\hello.pyd\msvc\debug\
runtime-link-dynamic\hello.pyd ..\..\..\..\libs\python\example\tutorial\bin\
hello.pyd\msvc\debug\runtime-link-dynamic\hello.lib
Creating library ..\..\..\..\libs\python\example\tutorial\bin\hello.pyd\
msvc\debug\runtime-link-dynamic\hello.lib and object ..\..\..\..\libs\python\
example\tutorial\bin\hello.pyd\msvc\debug\runtime-link-dynamic\hello.exp
...updated 40 targets...
</pre></code><p>
If all is well, you should now have:</p>
<ul><li>boost_python.dll</li><li>hello.pyd</li></ul><p>
if you are on Windows, and</p>
<ul><li>libboost_python.so</li><li>hello.so</li></ul><p>
if you are on Unix.</p>
<p>
<tt>boost_python.dll</tt> can be found somewhere in <tt>libs\python\build\bin</tt>
while <tt>hello.pyd</tt> can be found somewhere in
<tt>libs\python\example\tutorial\bin</tt>. 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>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>import </span><span class=identifier>hello
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>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></pre></code>
<blockquote><p><b>There you go... Have fun!</b></p></blockquote><table border="0">
<tr>
<td width="30"><a href="../index.html"><img src="theme/u_arr.gif" border="0"></a></td>
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<td width="20"><a href="exposing_classes.html"><img src="theme/r_arr.gif" border="0"></a></td>
</tr>
</table>
<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
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<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>
<code><pre>
<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></pre></code>
<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>
<code><pre>
<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></pre></code>
<p>
What's the problem?</p>
<p>
Well, what if f() was implemented as shown below:</p>
<code><pre>
<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></pre></code>
<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>
<ol><li><tt>f</tt> is called passing in a reference to <tt>y</tt> and a pointer to <tt>z</tt></li><li>A reference to <tt>y.x</tt> is returned</li><li><tt>y</tt> is deleted. <tt>x</tt> is a dangling reference</li><li><tt>x.some_method()</tt> is called</li><li><b>BOOM!</b></li></ol><p>
We could copy result into a new object:</p>
<code><pre>
<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=identifier>Result </span><span class=identifier>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=identifier>No </span><span class=identifier>crash</span><span class=special>, </span><span class=identifier>but </span><span class=identifier>still </span><span class=identifier>bad
</span><span class=number>3.14
</span></pre></code>
<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>
<code><pre>
<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></pre></code>
<p>
Notice that the data member <tt>z</tt> is held by class Y using a raw
pointer. Now we have a potential dangling pointer problem inside Y:</p>
<code><pre>
<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></pre></code>
<p>
For reference, here's the implementation of <tt>f</tt> again:</p>
<code><pre>
<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></pre></code>
<p>
Here's what's happening:</p>
<ol><li><tt>f</tt> is called passing in a reference to <tt>y</tt> and a pointer to <tt>z</tt></li><li>A pointer to <tt>z</tt> is held by <tt>y</tt></li><li>A reference to <tt>y.x</tt> is returned</li><li><tt>z</tt> is deleted. <tt>y.z</tt> is a dangling pointer</li><li><tt>y.z_value()</tt> is called</li><li><tt>z-&gt;value()</tt> is called</li><li><b>BOOM!</b></li></ol><a name="call_policies"></a><h2>Call Policies</h2><p>
Call Policies may be used in situations such as the example detailed above.
In our example, <tt>return_internal_reference</tt> and <tt>with_custodian_and_ward</tt>
are our friends:</p>
<code><pre>
<span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</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></pre></code>
<p>
What are the <tt>1</tt> and <tt>2</tt> parameters, you ask?</p>
<code><pre>
<span class=identifier>return_internal_reference</span><span class=special>&lt;</span><span class=number>1
</span></pre></code>
<p>
Informs Boost.Python that the first argument, in our case <tt>Y&amp; y</tt>, is the
owner of the returned reference: <tt>X&amp;</tt>. The &quot;<tt>1</tt>&quot; simply specifies the
first argument. In short: &quot;return an internal reference <tt>X&amp;</tt> owned by the
1st argument <tt>Y&amp; y</tt>&quot;.</p>
<code><pre>
<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></pre></code>
<p>
Informs Boost.Python that the lifetime of the argument indicated by ward
(i.e. the 2nd argument: <tt>Z* z</tt>) is dependent on the lifetime of the
argument indicated by custodian (i.e. the 1st argument: <tt>Z* z</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>
<code><pre>
<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></pre></code>
<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">
here</a>.</p>
<ul><li><b>with_custodian_and_ward</b><br> Ties lifetimes of the arguments</li><li><b>with_custodian_and_ward_postcall</b><br> Ties lifetimes of the arguments and results</li><li><b>return_internal_reference</b><br> Ties lifetime of one argument to that of result</li><li><b>return_value_policy&lt;T&gt; with T one of:</b><br></li><li><b>reference_existing_object</b><br>naïve (dangerous) approach</li><li><b>copy_const_reference</b><br>Boost.Python v1 approach</li><li><b>copy_non_const_reference</b><br></li><li><b>manage_new_object</b><br> Adopt a pointer and hold the instance</li></ul><table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/smiley.gif"></img> <b>Remember the Zen, Luke:</b><br><br>
&quot;Explicit is better than implicit&quot;<br>
&quot;In the face of ambiguity, refuse the temptation to guess&quot;<br> </td>
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<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 <b>read-only</b> or
<b>read-write</b>. Consider this class <tt>Var</tt>:</p>
<code><pre>
<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></pre></code>
<p>
Our C++ <tt>Var</tt> class and its data members can be exposed to Python:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Var</span><span class=special>&gt;(</span><span class=string>&quot;Var&quot;</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>&quot;name&quot;</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>&quot;value&quot;</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></pre></code>
<p>
Then, in Python:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>x </span><span class=special>= </span><span class=identifier>Var</span><span class=special>(</span><span class=literal>'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=identifier>print </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>name</span><span class=special>, </span><span class=literal>'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=identifier>is </span><span class=identifier>around </span><span class=number>3.14
</span></pre></code>
<p>
Note that <tt>name</tt> is exposed as <b>read-only</b> while <tt>value</tt> is exposed
as <b>read-write</b>.</p>
<code><pre>
&gt;&gt;&gt; x.name = 'e' # can't change name
Traceback (most recent call last):
File &quot;&lt;stdin&gt;&quot;, line 1, in ?
AttributeError: can't set attribute
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<a name="python_operators"></a><h2>Python Operators</h2><p>
C is well known for the abundance of oparators. 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>FilePos</tt> and a set of operators that take
on FilePos instances:</p>
<code><pre>
<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></pre></code>
<p>
The class and the various operators can be mapped to Python rather easily
and intuitively:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>FilePos</span><span class=special>&gt;(</span><span class=string>&quot;FilePos&quot;</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>// __rsub__
</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></pre></code>
<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>self</tt> refers to FilePos object. Also, not every class <tt>T</tt> that
you might need to interact with in an operator expression is (cheaply)
default-constructible. You can use <tt>other&lt;T&gt;()</tt> in place of an actual
<tt>T</tt> instance when writing &quot;self expressions&quot;.</p>
<a name="special_methods"></a><h2>Special Methods</h2><p>
Python has a few more <i>Special Methods</i>. 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 <i>special functions</i>. Example:</p>
<code><pre>
<span class=keyword>class </span><span class=identifier>Rational
</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=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=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></pre></code>
<p>
Need we say more?</p>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Class Properties</b></font>
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<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>
<code><pre>
<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></pre></code>
<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>Num</tt> class using Boost.Python:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Num</span><span class=special>&gt;(</span><span class=string>&quot;Num&quot;</span><span class=special>)
</span><span class=special>.</span><span class=identifier>add_property</span><span class=special>(</span><span class=string>&quot;rovalue&quot;</span><span class=special>, </span><span class=special>&amp;</span><span class=identifier>Var</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>&quot;value&quot;</span><span class=special>, </span><span class=special>&amp;</span><span class=identifier>Var</span><span class=special>::</span><span class=identifier>get</span><span class=special>, </span><span class=special>&amp;</span><span class=identifier>Var</span><span class=special>::</span><span class=identifier>set</span><span class=special>);
</span></pre></code>
<p>
And at last, in Python:</p>
<code><pre>
<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=identifier>error</span><span class=special>!
</span></pre></code>
<p>
Take note that the class property <tt>rovalue</tt> is exposed as <b>read-only</b>
since the <tt>rovalue</tt> setter member function is not passed in:</p>
<code><pre>
<span class=special>.</span><span class=identifier>add_property</span><span class=special>(</span><span class=string>&quot;rovalue&quot;</span><span class=special>, </span><span class=special>&amp;</span><span class=identifier>Var</span><span class=special>::</span><span class=identifier>get</span><span class=special>)
</span></pre></code>
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<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>Base</tt> class:</p>
<code><pre>
<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></pre></code>
<p>
Since <tt>f</tt> is a pure virtual function, <tt>Base</tt> is now an abstract
class. Given an instance of our class, the free function <tt>call_f</tt>
calls some implementation of this virtual function in a concrete
derived class:</p>
<code><pre>
<span class=keyword>int </span><span class=identifier>call_f</span><span class=special>(</span><span class=identifier>Base</span><span class=special>&amp; </span><span class=identifier>b</span><span class=special>) </span><span class=special>{ </span><span class=keyword>return </span><span class=identifier>b</span><span class=special>.</span><span class=identifier>f</span><span class=special>(); </span><span class=special>}
</span></pre></code>
<p>
To allow this function to be implemented in a Python derived class, we
need to create a class wrapper:</p>
<code><pre>
<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>BaseWrap</span><span class=special>(</span><span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>self_</span><span class=special>)
</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=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=identifier>call_method</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>&gt;(</span><span class=identifier>self</span><span class=special>, </span><span class=string>&quot;f&quot;</span><span class=special>); </span><span class=special>}
</span><span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>self</span><span class=special>;
</span><span class=special>};
</span></pre></code>
<table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/lens.gif"></img> <b>member function and methods</b><br><br> Python, like
many object oriented languages uses the term <b>methods</b>. Methods
correspond roughly to C++'s <b>member functions</b> </td>
</tr>
</table>
<p>
Our class wrapper <tt>BaseWrap</tt> is derived from <tt>Base</tt>. Its overridden
virtual member function <tt>f</tt> in effect calls the corresponding method
of the Python object <tt>self</tt>, which is a pointer back to the Python
<tt>Base</tt> object holding our <tt>BaseWrap</tt> instance.</p>
<table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/note.gif"></img> <b>Why do we need BaseWrap?</b><br><br>
<i>You may ask</i>, &quot;Why do we need the <tt>BaseWrap</tt> derived class? This could
have been designed so that everything gets done right inside of
Base.&quot;<br><br>
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. To unintrusively
hook into the virtual functions so that a Python override may be called, we
must use a derived class.<br><br>
Note however that you don't need to do this to get methods overridden
in Python to behave virtually when called <i>from</i> <b>Python</b>. The only
time you need to do the <tt>BaseWrap</tt> dance is when you have a virtual
function that's going to be overridden in Python and called
polymorphically <i>from</i> <b>C++</b>. </td>
</tr>
</table>
<p>
Wrapping <tt>Base</tt> and the free function <tt>call_f</tt>:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Base</span><span class=special>, </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>&quot;Base&quot;</span><span class=special>, </span><span class=identifier>no_init</span><span class=special>)
</span><span class=special>;
</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;call_f&quot;</span><span class=special>, </span><span class=identifier>call_f</span><span class=special>);
</span></pre></code>
<p>
Notice that we parameterized the <tt>class_</tt> template with <tt>BaseWrap</tt> as the
second parameter. What is <tt>noncopyable</tt>? Without it, the library will try
to create code for converting Base return values of wrapped functions to
Python. To do that, it needs Base's copy constructor... which isn't
available, since Base is an abstract class.</p>
<p>
In Python, let us try to instantiate our <tt>Base</tt> class:</p>
<code><pre>
<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=identifier>AttributeError</span><span class=special>: </span><span class=special>...
</span></pre></code>
<p>
Why is it an error? <tt>Base</tt> is an abstract class. As such it is advisable
to define the Python wrapper with <tt>no_init</tt> as we have done above. Doing
so will disallow abstract base classes such as <tt>Base</tt> to be instantiated.</p>
<a name="deriving_a_python_class"></a><h2>Deriving a Python class</h2><p>
Now, at last, we can even derive from our base class <tt>Base</tt> in Python:</p>
<code><pre>
<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=identifier>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></pre></code>
<p>
Cool eh? A Python class deriving from a C++ class!</p>
<p>
Let's now make an instance of our Python class <tt>Derived</tt>:</p>
<code><pre>
<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></pre></code>
<p>
Calling <tt>derived.f()</tt>:</p>
<code><pre>
<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></pre></code>
<p>
Will yield the expected result. Finally, calling calling the free function
<tt>call_f</tt> with <tt>derived</tt> as argument:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>call_f</span><span class=special>(</span><span class=identifier>derived</span><span class=special>())
</span><span class=number>42
</span></pre></code>
<p>
Will also yield the expected result.</p>
<p>
Here's what's happening:</p>
<ol><li><tt>call_f(derived())</tt> is called in Python</li><li>This corresponds to <tt>def(&quot;call_f&quot;, call_f);</tt>. Boost.Python dispatches this call.</li><li><tt>int call_f(Base&amp; b) { return b.f(); }</tt> accepts the call.</li><li>The overridden virtual function <tt>f</tt> of <tt>BaseWrap</tt> is called.</li><li><tt>call_method&lt;int&gt;(self, &quot;f&quot;);</tt> dispatches the call back to Python.</li><li><tt>def f(self): return 42</tt> is finally called.</li></ol><p>
Rewind back to our <tt>Base</tt> class, if its member function <tt>f</tt> was not
declared as pure virtual:</p>
<code><pre>
<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=keyword>return </span><span class=number>0</span><span class=special>; </span><span class=special>}
</span><span class=special>};
</span></pre></code>
<p>
And instead is implemented to return <tt>0</tt>, as shown above.</p>
<code><pre>
<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>BaseWrap</span><span class=special>(</span><span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>self_</span><span class=special>)
</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=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=identifier>call_method</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>&gt;(</span><span class=identifier>self</span><span class=special>, </span><span class=string>&quot;f&quot;</span><span class=special>); </span><span class=special>}
</span><span class=keyword>static </span><span class=keyword>int </span><span class=identifier>default_f</span><span class=special>(</span><span class=identifier>Base</span><span class=special>* </span><span class=identifier>b</span><span class=special>) </span><span class=special>{ </span><span class=keyword>return </span><span class=identifier>b</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=comment>// &lt;&lt;=== added
</span><span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>self</span><span class=special>;
</span><span class=special>};
</span></pre></code>
<p>
then, our Boost.Python wrapper:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Base</span><span class=special>, </span><span class=identifier>BaseWrap</span><span class=special>&gt;(</span><span class=string>&quot;Base&quot;</span><span class=special>)
</span><span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</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></pre></code>
<p>
Note that we are allowing <tt>Base</tt> objects to be instantiated this time,
unlike before where we specifically defined the <tt>class_&lt;Base&gt;</tt> with
<tt>no_init</tt>.</p>
<p>
In Python, the results would be as expected:</p>
<code><pre>
<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=identifier>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></pre></code>
<p>
Calling <tt>base.f()</tt>:</p>
<code><pre>
<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></pre></code>
<p>
Calling <tt>derived.f()</tt>:</p>
<code><pre>
<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></pre></code>
<p>
Calling <tt>call_f</tt>, passing in a <tt>base</tt> object:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>call_f</span><span class=special>(</span><span class=identifier>base</span><span class=special>)
</span><span class=number>0
</span></pre></code>
<p>
Calling <tt>call_f</tt>, passing in a <tt>derived</tt> object:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>call_f</span><span class=special>(</span><span class=identifier>derived</span><span class=special>())
</span><span class=number>42
</span></pre></code>
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<p>
Our previous example didn't have any explicit constructors.
Since <tt>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>
<code><pre>
<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></pre></code>
<p>
We may wish to wrap a class with a non-default constructor. Let us
build on our previous example:</p>
<code><pre>
<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></pre></code>
<p>
This time <tt>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_&lt;World&gt;</tt> about the constructor we want to
expose instead.</p>
<code><pre>
<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>&quot;World&quot;</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>&quot;greet&quot;</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>&quot;set&quot;</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></pre></code>
<p>
<tt>init&lt;std::string&gt;()</tt> exposes the constructor taking in a
<tt>std::string</tt> (in Python, constructors are spelled
&quot;<tt>&quot;__init__&quot;</tt>&quot;).</p>
<p>
We can expose additional constructors by passing more <tt>init&lt;...&gt;</tt>s to
the <tt>def()</tt> member function. Say for example we have another World
constructor taking in two doubles:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>World</span><span class=special>&gt;(</span><span class=string>&quot;World&quot;</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>&quot;greet&quot;</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>&quot;set&quot;</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></pre></code>
<p>
On the other hand, if we do not wish to expose any constructors at
all, we may use <tt>no_init</tt> instead:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Abstract</span><span class=special>&gt;(</span><span class=string>&quot;Abstract&quot;</span><span class=special>, </span><span class=identifier>no_init</span><span class=special>)
</span></pre></code>
<p>
This actually adds an <tt>__init__</tt> method which always raises a
Python RuntimeError exception.</p>
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<p>
Boost.Python wraps (member) function pointers. Unfortunately, C++ function
pointers carry no default argument info. Take a function <tt>f</tt> with default
arguments:</p>
<code><pre>
<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>&quot;hello&quot;</span><span class=special>);
</span></pre></code>
<p>
But the type of a pointer to the function <tt>f</tt> has no information
about its default arguments:</p>
<code><pre>
<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></pre></code>
<p>
When we pass this function pointer to the <tt>def</tt> function, there is no way
to retrieve the default arguments:</p>
<code><pre>
<span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>f</span><span class=special>); </span><span class=comment>// defaults lost!
</span></pre></code>
<p>
Because of this, when wrapping C++ code in earlier versions of
Boost.Python, we had to resort to writing thin wrappers:</p>
<code><pre>
<span class=comment>// write &quot;thin wrappers&quot;
</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>&quot;f&quot;</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>&quot;f&quot;</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>&quot;f&quot;</span><span class=special>, </span><span class=identifier>f1</span><span class=special>); </span><span class=comment>// one argument
</span></pre></code>
<p>
When you want to wrap functions (or member functions) that either:</p>
<ul><li>have default arguments, or</li><li>are overloaded with a common sequence of initial arguments</li></ul><p>
Boost.Python now has a way to make it easier.</p>
<p>
For instance, given a function:</p>
<code><pre>
<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></pre></code>
<p>
The macro invocation:</p>
<code><pre>
<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></pre></code>
<p>
Will automatically create the thin wrappers for us. This macro will create
a class <tt>foo_overloads</tt> that can be passed on to <tt>def(...)</tt>. The third
and fourth macro argument are the minimum arguments and maximum arguments,
respectively. In our <tt>foo</tt> function the minimum number of arguments is 1
and the maximum number of arguments is 4. The <tt>def(...)</tt> function will
automatically add all the foo variants for us:</p>
<code><pre>
<span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;foo&quot;</span><span class=special>, </span><span class=identifier>foo</span><span class=special>, </span><span class=identifier>foo_overloads</span><span class=special>());
</span></pre></code>
<p>
A similar facility is provided for class constructors, again, with
default arguments or a sequence of overloads. Remember init&lt;...&gt;? For example,
given a class X with a constructor:</p>
<code><pre>
<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=literal>'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>&quot;constructor&quot;</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></pre></code>
<p>
You can easily add this constructor to Boost.Python in one shot:</p>
<code><pre>
<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></pre></code>
<p>
Notice the use of <tt>init&lt;...&gt;</tt> and <tt>optional&lt;...&gt;</tt> to signify the default
(optional arguments).</p>
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<p>
Boost.Python comes with a set of derived <tt>object</tt> types corresponding to
that of Python's:</p>
<ul><li>list</li><li>dict</li><li>tuple</li><li>str</li><li>long_</li></ul><p>
These derived <tt>object</tt> types act like real Python types. For instance:</p>
<code><pre>
<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>&quot;1&quot;
</span></pre></code>
<p>
Wherever appropriate, a particular derived <tt>object</tt> has corresponding
Python type's methods. For instance, <tt>dict</tt> has a <tt>keys()</tt> method:</p>
<code><pre>
<span class=identifier>d</span><span class=special>.</span><span class=identifier>keys</span><span class=special>()
</span></pre></code>
<p>
<tt>make_tuple</tt> is provided for declaring <i>tuple literals</i>. Example:</p>
<code><pre>
<span class=identifier>make_tuple</span><span class=special>(</span><span class=number>123</span><span class=special>, </span><span class=literal>'D'</span><span class=special>, </span><span class=string>&quot;Hello, World&quot;</span><span class=special>, </span><span class=number>0.0</span><span class=special>);
</span></pre></code>
<p>
In C++, when Boost.Python <tt>object</tt>s are used as arguments to functions,
subtype matching is required. For example, when a function <tt>f</tt>, as
declared below, is wrapped, it will only accept instances of Python's
<tt>str</tt> type and subtypes.</p>
<code><pre>
<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>&quot;upper&quot;</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>&quot;%s is bigger than %s&quot; </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></pre></code>
<p>
In finer detail:</p>
<code><pre>
<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></pre></code>
<p>
Illustrates that we provide versions of the str type's methods as C++
member functions.</p>
<code><pre>
<span class=identifier>object </span><span class=identifier>msg </span><span class=special>= </span><span class=string>&quot;%s is bigger than %s&quot; </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></pre></code>
<p>
Demonstrates that you can write the C++ equivalent of <tt>&quot;format&quot; % x,y,z</tt>
in Python, which is useful since there's no easy way to do that in std C++.</p>
<p>
<img src="theme/alert.gif"></img> <b>Beware</b> the common pitfall of forgetting that the constructors
of most of Python's mutable types make copies, just as in Python.</p>
<p>
Python:</p>
<code><pre>
<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=identifier>copies </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>__dict__
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>d</span><span class=special>[</span><span class=literal>'whatever'</span><span class=special>] </span>#<span class=identifier>modifies </span><span class=identifier>the </span><span class=identifier>copy
</span></pre></code>
<p>
C++:</p>
<code><pre>
<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>&quot;__dict__&quot;</span><span class=special>)); </span>#<span class=identifier>copies </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>__dict__
</span><span class=identifier>d</span><span class=special>[</span><span class=literal>'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>the </span><span class=identifier>copy
</span></pre></code>
<a name="class__lt_t_gt__as_objects"></a><h2>class_&lt;T&gt; as objects</h2><p>
Due to the dynamic nature of Boost.Python objects, any <tt>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>
<code><pre>
<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>&quot;Vec2&quot;</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>&quot;length&quot;</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>&quot;angle&quot;</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>&quot;length&quot;</span><span class=special>) </span><span class=special>== </span><span class=number>5.0</span><span class=special>);
</span></pre></code>
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<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>
<code><pre>
<span class=identifier>raise </span><span class=identifier>RuntimeError</span><span class=special>, </span><span class=literal>'unidentifiable C++ Exception'
</span></pre></code>
<p>
Users may provide custom translation. Here's an example:</p>
<code><pre>
<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=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>&quot;I'm sorry Dave...&quot;</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></pre></code>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Exposing Classes</b></font>
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<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>
<code><pre>
<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></pre></code>
<p>
We can expose this to Python by writing a corresponding Boost.Python
C++ Wrapper:</p>
<code><pre>
<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>&quot;World&quot;</span><span class=special>)
</span><span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;greet&quot;</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>&quot;set&quot;</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></pre></code>
<p>
Here, we wrote a C++ class wrapper that exposes the member functions
<tt>greet</tt> and <tt>set</tt>. Now, after building our module as a shared library, we
may use our class <tt>World</tt> in Python. Here's a sample Python session:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>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=literal>'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=literal>'howdy'
</span></pre></code>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Extracting C++ objects</b></font>
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<p>
At some point, we will need to get C++ values out of object instances. This
can be achieved with the <tt>extract&lt;T&gt;</tt> function. Consider the following:</p>
<code><pre>
<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>&quot;length&quot;</span><span class=special>); </span><span class=comment>// compile error
</span></pre></code>
<p>
In the code above, we got a compiler error because Boost.Python
<tt>object</tt> can't be implicitly converted to <tt>double</tt>s. Instead, what
we wanted to do above can be achieved by writing:</p>
<code><pre>
<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>&quot;length&quot;</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></pre></code>
<p>
The first line attempts to extract the &quot;length&quot; attribute of the
Boost.Python <tt>object</tt> <tt>o</tt>. The second line attempts to <i>extract</i> the
<tt>Vec2</tt> object from held by the Boost.Python <tt>object</tt> <tt>o</tt>.</p>
<p>
Take note that we said &quot;attempt to&quot; above. What if the Boost.Python
<tt>object</tt> <tt>o</tt> does not really hold a <tt>Vec2</tt> type? This is certainly
a possibility considering the dynamic nature of Python <tt>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>
<code><pre>
<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></pre></code>
<p>
<img src="theme/bulb.gif"></img> The astute reader might have noticed that the <tt>extract&lt;T&gt;</tt>
facility in fact solves mutable copying problem:</p>
<code><pre>
<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>&quot;__dict__&quot;</span><span class=special>));
</span><span class=identifier>d</span><span class=special>[</span><span class=literal>'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></pre></code>
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<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<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>
<blockquote><p><i>Read on...</i></p></blockquote><p>
But before you do, you might want to fire up Python 2.2 or later and type
<tt>&gt;&gt;&gt; import this</tt>.</p>
<code><pre>
&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 *right* 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!
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<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
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<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>
<code><pre>
<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></pre></code>
<p>
And a set of C++ functions operating on <tt>Base</tt> and <tt>Derived</tt> object
instances:</p>
<code><pre>
<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></pre></code>
<p>
We've seen how we can wrap the base class <tt>Base</tt>:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Base</span><span class=special>&gt;(</span><span class=string>&quot;Base&quot;</span><span class=special>)
</span><span class=comment>/*...*/
</span><span class=special>;
</span></pre></code>
<p>
Now we can inform Boost.Python of the inheritance relationship between
<tt>Derived</tt> and its base class <tt>Base</tt>. Thus:</p>
<code><pre>
<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>&quot;Derived&quot;</span><span class=special>)
</span><span class=comment>/*...*/
</span><span class=special>;
</span></pre></code>
<p>
Doing so, we get some things for free:</p>
<ol><li>Derived automatically inherits all of Base's Python methods (wrapped C++ member functions)</li><li><b>If</b> Base is polymorphic, <tt>Derived</tt> objects which have been passed to Python via a pointer or reference to <tt>Base</tt> can be passed where a pointer or reference to <tt>Derived</tt> is expected.</li></ol><p>
Now, we shall expose the C++ free functions <tt>b</tt> and <tt>d</tt> and <tt>factory</tt>:</p>
<code><pre>
<span class=identifier>def</span><span class=special>(</span><span class=string>&quot;b&quot;</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>&quot;d&quot;</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>&quot;factory&quot;</span><span class=special>, </span><span class=identifier>factory</span><span class=special>);
</span></pre></code>
<p>
Note that free function <tt>factory</tt> is being used to generate new
instances of class <tt>Derived</tt>. In such cases, we use
<tt>return_value_policy&lt;manage_new_object&gt;</tt> to instruct Python to adopt
the pointer to <tt>Base</tt> and hold the instance in a new Python <tt>Base</tt>
object until the the Python object is destroyed. We shall see more of
Boost.Python <a href="call_policies.html">
call policies</a> later.</p>
<code><pre>
<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>&quot;factory&quot;</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></pre></code>
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<p>
In C++, and STL in particular, we see iterators everywhere. Python also has
iterators, but these are two very different beasts.</p>
<p>
<b>C++ iterators:</b></p>
<ul><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><p>
<b>Python Iterators:</b></p>
<ul><li>1 category (forward)</li><li>1 operation category (next())</li><li>Raises StopIteration exception at end</li></ul><p>
The typical Python iteration protocol: <tt><b>for y in x...</b></tt> is as follows:</p>
<code><pre>
<span class=identifier>iter </span><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=identifier>get </span><span class=identifier>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=identifier>get </span><span class=identifier>each </span><span class=identifier>item
</span><span class=special>... </span>#<span class=identifier>process </span><span class=identifier>y
</span><span class=identifier>except </span><span class=identifier>StopIteration</span><span class=special>: </span><span class=identifier>pass </span>#<span class=identifier>iterator </span><span class=identifier>exhausted
</span></pre></code>
<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 __iter__ function from C++ iterators that is compatible
with the Python iteration protocol. For example:</p>
<code><pre>
<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></pre></code>
<p>
Or for use in class_&lt;&gt;:</p>
<code><pre>
<span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;__iter__&quot;</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></pre></code>
<p>
<b>range</b></p>
<p>
We can create a Python savvy iterator using the range function:</p>
<ul><li>range(start, finish)</li><li>range&lt;Policies,Target&gt;(start, finish)</li></ul><p>
Here, start/finish may be one of:</p>
<ul><li>member data pointers</li><li>member function pointers</li><li>adaptable function object (use Target parameter)</li></ul><p>
<b>iterator</b></p>
<ul><li>iterator&lt;T, Policies&gt;()</li></ul><p>
Given a container <tt>T</tt>, iterator is a shortcut that simply calls <tt>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>
<code><pre>
<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=identifier>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=identifier>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></pre></code>
<p>
Now, our C++ Wrapper:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>F</span><span class=special>&gt;(</span><span class=string>&quot;Field&quot;</span><span class=special>)
</span><span class=special>.</span><span class=identifier>property</span><span class=special>(</span><span class=string>&quot;pions&quot;</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>&quot;bogons&quot;</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></pre></code>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>Object Interface</title>
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<td><img src="theme/c%2B%2Bboost.gif">
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Object Interface</b></font>
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<p>
Python is dynamically typed, unlike C++ which is statically typed. Python
variables may hold an integers, 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>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>object</tt>s are as close as possible to Python. This
should minimize the learning curve significantly.</p>
<p>
<img src="theme/python.png"></img></p>
<table border="0">
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
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<html>
<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>QuickStart</title>
<link rel="stylesheet" href="theme/style.css" type="text/css">
<link rel="next" href="building_hello_world.html">
</head>
<body>
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<td><img src="theme/c%2B%2Bboost.gif">
</td>
<td width="85%">
<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>QuickStart</b></font>
</td>
</tr>
</table>
<br>
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<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="hello_world"></a><h2>Hello World</h2><p>
Following C/C++ tradition, let's start with the &quot;hello, world&quot;. A C++
Function:</p>
<code><pre>
<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>&quot;hello, world&quot;</span><span class=special>;
</span><span class=special>}
</span></pre></code>
<p>
can be exposed to Python by writing a Boost.Python wrapper:</p>
<code><pre>
<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>&quot;greet&quot;</span><span class=special>, </span><span class=identifier>greet</span><span class=special>);
</span><span class=special>}
</span></pre></code>
<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>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>import </span><span class=identifier>hello
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>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></pre></code>
<blockquote><p><i><b>Next stop... Building your Hello World module from start to finish...</b></i></p></blockquote><table border="0">
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</tr>
</table>
<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
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<a href="doc/building_hello_world.html">Building Hello World</a>
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<a href="doc/exposing_classes.html">Exposing Classes</a>
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<a href="doc/default_arguments.html">Default Arguments</a>
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<a href="doc/extracting_c___objects.html">Extracting C++ objects</a>
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<a href="doc/iterators.html">Iterators</a>
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<a href="doc/exception_translation.html">Exception Translation</a>
</td>
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</table>
<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<title>Boost.Python - &lt;boost/python.hpp&gt;</title>
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<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
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<h1 align="center">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python.hpp&gt;</h2>
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<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>This is a convenience header which #includes all of the public
interface headers that are part of the Boost.Python library</p>
<pre>
# include &lt;args.hpp&gt;
# include &lt;args_fwd.hpp&gt;
# include &lt;back_reference.hpp&gt;
# include &lt;bases.hpp&gt;
# include &lt;borrowed.hpp&gt;
# include &lt;call.hpp&gt;
# include &lt;call_method.hpp&gt;
# include &lt;class.hpp&gt;
# include &lt;copy_const_reference.hpp&gt;
# include &lt;copy_non_const_reference.hpp&gt;
# include &lt;data_members.hpp&gt;
# include &lt;def.hpp&gt;
# include &lt;default_call_policies.hpp&gt;
# include &lt;dict.hpp&gt;
# include &lt;enum.hpp&gt;
# include &lt;errors.hpp&gt;
# include &lt;exception_translator.hpp&gt;
# include &lt;extract.hpp&gt;
# include &lt;handle.hpp&gt;
# include &lt;has_back_reference.hpp&gt;
# include &lt;implicit.hpp&gt;
# include &lt;init.hpp&gt;
# include &lt;instance_holder.hpp&gt;
# include &lt;iterator.hpp&gt;
# include &lt;list.hpp&gt;
# include &lt;long.hpp&gt;
# include &lt;lvalue_from_pytype.hpp&gt;
# include &lt;make_function.hpp&gt;
# include &lt;manage_new_object.hpp&gt;
# include &lt;module.hpp&gt;
# include &lt;numeric.hpp&gt;
# include &lt;object.hpp&gt;
# include &lt;object_protocol.hpp&gt;
# include &lt;object_protocol_core.hpp&gt;
# include &lt;operators.hpp&gt;
# include &lt;other.hpp&gt;
# include &lt;overloads.hpp&gt;
# include &lt;pointee.hpp&gt;
# include &lt;ptr.hpp&gt;
# include &lt;reference_existing_object.hpp&gt;
# include &lt;return_internal_reference.hpp&gt;
# include &lt;return_value_policy.hpp&gt;
# include &lt;scope.hpp&gt;
# include &lt;self.hpp&gt;
# include &lt;slice_nil.hpp&gt;
# include &lt;str.hpp&gt;
# include &lt;to_python_converter.hpp&gt;
# include &lt;to_python_indirect.hpp&gt;
# include &lt;to_python_value.hpp&gt;
# include &lt;tuple.hpp&gt;
# include &lt;type_id.hpp&gt;
# include &lt;with_custodian_and_ward.hpp&gt;
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
08 October, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
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15
example/tutorial/Jamfile Normal file
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@@ -0,0 +1,15 @@
# Hello World Example from the tutorial
# [Joel de Guzman 10/9/2002]
# Specify our location in the boost project hierarchy
subproject libs/python/example/tutorial ;
# Include definitions needed for Python modules
SEARCH on python.jam = $(BOOST_BUILD_PATH) ;
include python.jam ;
extension hello # Declare a Python extension called hello
: hello.cpp # source
<dll>../../build/boost_python # dependencies
;

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@@ -0,0 +1,17 @@
// Hello World Example from the tutorial
// [Joel de Guzman 10/9/2002]
char const* greet()
{
return "hello, world";
}
#include <boost/python/module.hpp>
#include <boost/python/def.hpp>
using namespace boost::python;
BOOST_PYTHON_MODULE(hello)
{
def("greet", greet);
}

62
include/boost/python.hpp Normal file
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@@ -0,0 +1,62 @@
// Copyright David Abrahams 2002. 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.
#ifndef PYTHON_DWA2002810_HPP
# define PYTHON_DWA2002810_HPP
# include <boost/python/args.hpp>
# include <boost/python/args_fwd.hpp>
# include <boost/python/back_reference.hpp>
# include <boost/python/bases.hpp>
# include <boost/python/borrowed.hpp>
# include <boost/python/call.hpp>
# include <boost/python/call_method.hpp>
# include <boost/python/class.hpp>
# include <boost/python/copy_const_reference.hpp>
# include <boost/python/copy_non_const_reference.hpp>
# include <boost/python/data_members.hpp>
# include <boost/python/def.hpp>
# include <boost/python/default_call_policies.hpp>
# include <boost/python/dict.hpp>
# include <boost/python/enum.hpp>
# include <boost/python/errors.hpp>
# include <boost/python/exception_translator.hpp>
# include <boost/python/extract.hpp>
# include <boost/python/handle.hpp>
# include <boost/python/has_back_reference.hpp>
# include <boost/python/implicit.hpp>
# include <boost/python/init.hpp>
# include <boost/python/instance_holder.hpp>
# include <boost/python/iterator.hpp>
# include <boost/python/list.hpp>
# include <boost/python/long.hpp>
# include <boost/python/lvalue_from_pytype.hpp>
# include <boost/python/make_function.hpp>
# include <boost/python/manage_new_object.hpp>
# include <boost/python/module.hpp>
# include <boost/python/numeric.hpp>
# include <boost/python/object.hpp>
# include <boost/python/object_protocol.hpp>
# include <boost/python/object_protocol_core.hpp>
# include <boost/python/operators.hpp>
# include <boost/python/other.hpp>
# include <boost/python/overloads.hpp>
# include <boost/python/pointee.hpp>
# include <boost/python/ptr.hpp>
# include <boost/python/reference_existing_object.hpp>
# include <boost/python/return_internal_reference.hpp>
# include <boost/python/return_value_policy.hpp>
# include <boost/python/scope.hpp>
# include <boost/python/self.hpp>
# include <boost/python/slice_nil.hpp>
# include <boost/python/str.hpp>
# include <boost/python/to_python_converter.hpp>
# include <boost/python/to_python_indirect.hpp>
# include <boost/python/to_python_value.hpp>
# include <boost/python/tuple.hpp>
# include <boost/python/type_id.hpp>
# include <boost/python/with_custodian_and_ward.hpp>
#endif PYTHON_DWA2002810_HPP