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python/doc/v2/faq.html
Dave Abrahams a21727741f c1204 workaround documented
[SVN r16235]
2002-11-14 12:16:40 +00:00

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<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Frequently Asked Questions (FAQs)</h2>
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<dl class="page-index">
<dt><a href="#question1">Is return_internal reference
efficient?</a></dt>
<dt><a href="#question2">How can I wrap containers which take C++
containers as arguments?</a></dt>
<dt><a href="#c1204">fatal error C1204:Compiler limit:internal
structure overflow</a></dt>
</dl>
<h2><a name="question1"></a>Is return_internal reference efficient?</h2>
<blockquote>
<b>Q:</b> <i>I have an object composed of 12 doubles. A const&amp; to
this object is returned by a member function of another class. From the
viewpoint of using the returned object in Python I do not care if I get
a copy or a reference to the returned object. In Boost.Python Version 2
I have the choice of using copy_const_reference or
return_internal_reference. Are there considerations that would lead me
to prefer one over the other, such as size of generated code or memory
overhead?</i>
<p><b>A:</b> copy_const_reference will make an instance with storage
for one of your objects, size = base_size + 12 * sizeof(double).
return_internal_reference will make an instance with storage for a
pointer to one of your objects, size = base_size + sizeof(void*).
However, it will also create a weak reference object which goes in the
source object's weakreflist and a special callback object to manage the
lifetime of the internally-referenced object. My guess?
copy_const_reference is your friend here, resulting in less overall
memory use and less fragmentation, also probably fewer total
cycles.</p>
</blockquote>
<h2><a name="question2"></a>How can I wrap functions which take C++
containers as arguments?</h2>
<p>Ralf W. Grosse-Kunstleve provides these notes:</p>
<ol>
<li>
Using the regular <code>class_&lt;&gt;</code> wrapper:
<pre>
class_&lt;std::vector&lt;double&gt; &gt;("std_vector_double")
.def(...)
...
;
</pre>
This can be moved to a template so that several types (double, int,
long, etc.) can be wrapped with the same code. This technique is used
in the file
<blockquote>
scitbx/include/scitbx/array_family/boost_python/flex_wrapper.h
</blockquote>
in the "scitbx" package. The file could easily be modified for
wrapping std::vector&lt;&gt; instantiations.
<p>This type of C++/Python binding is most suitable for containers
that may contain a large number of elements (&gt;10000).</p>
</li>
<li>
Using custom rvalue converters. Boost.Python "rvalue converters"
match function signatures such as:
<pre>
void foo(std::vector&lt;double&gt; const&amp; array); // pass by const-reference
void foo(std::vector&lt;double&gt; array); // pass by value
</pre>
Some custom rvalue converters are implemented in the file
<blockquote>
scitbx/include/scitbx/boost_python/container_conversions.h
</blockquote>
This code can be used to convert from C++ container types such as
std::vector&lt;&gt; or std::list&lt;&gt; to Python tuples and vice
versa. A few simple examples can be found in the file
<blockquote>
scitbx/array_family/boost_python/regression_test_module.cpp
</blockquote>
Automatic C++ container &lt;-&gt; Python tuple conversions are most
suitable for containers of moderate size. These converters generate
significantly less object code compared to alternative 1 above.
</li>
</ol>
A disadvantage of using alternative 2 is that operators such as
arithmetic +,-,*,/,% are not available. It would be useful to have custom
rvalue converters that convert to a "math_array" type instead of tuples.
This is currently not implemented but is possible within the framework of
Boost.Python V2 as it will be released in the next couple of weeks. [ed.:
this was posted on 2002/03/10]
<p>It would also be useful to also have "custom lvalue converters" such
as std::vector&lt;&gt; &lt;-&gt; Python list. These converters would
support the modification of the Python list from C++. For example:</p>
<p>C++:</p>
<pre>
void foo(std::vector&lt;double&gt;&amp; array)
{
for(std::size_t i=0;i&lt;array.size();i++) {
array[i] *= 2;
}
}
</pre>
Python:
<pre>
&gt;&gt;&gt; l = [1, 2, 3]
&gt;&gt;&gt; foo(l)
&gt;&gt;&gt; print l
[2, 4, 6]
</pre>
Custom lvalue converters require changes to the Boost.Python core library
and are currently not available.
<p>P.S.:</p>
<p>The "scitbx" files referenced above are available via anonymous
CVS:</p>
<pre>
cvs -d:pserver:anonymous@cvs.cctbx.sourceforge.net:/cvsroot/cctbx login
cvs -d:pserver:anonymous@cvs.cctbx.sourceforge.net:/cvsroot/cctbx co scitbx
</pre>
<h2><a name="c1204"></a>fatal error C1204:Compiler limit:internal
structure overflow</h2>
<blockquote>
<b>Q:</b> <i>I get this error message when compiling a large source
file. What can I do?</i>
<p><b>A:</b> You have two choices:</p>
<ol>
<li>Upgrade your compiler (preferred)</li>
<li>
Break your source file up into multiple translation units.
<p><code><b>my_module.cpp</b></code>:</p>
<pre>
...
void more_of_my_module();
BOOST_PYTHON_MODULE(my_module)
{
def("foo", foo);
def("bar", bar);
...
more_of_my_module();
}
</pre>
<code><b>more_of_my_module.cpp</b></code>:
<pre>
void more_of_my_module()
{
def("baz", baz);
...
}
</pre>
If you find that a <code><a href=
"class.html#class_-spec">class_</a>&lt;...&gt;</code> declaration
can't fit in a single source file without triggering the error, you
can always pass a reference to the <code>class_</code> object to a
function in another source file, and call some of its member
functions (e.g. <code>.def(...)</code>) in the auxilliary source
file: <code>
<p><b>more_of_my_class.cpp</b></code>:
<pre>
void more_of_my_class(class&lt;my_class&gt;&amp; x)
{
x
.def("baz", baz)
.add_property("xx", &amp;my_class::get_xx, &amp;my_class::set_xx)
;
...
}
</pre>
</li>
</ol>
</blockquote>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
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