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Fixed links to avoid www.pythonlabs.com
[SVN r8455]
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‎doc/index.html‎

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<h2>Synopsis</h2>
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<p>
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Use the Boost Python Library to quickly and easily export a C++ library to <a
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href="http://www.pythonlabs.com/pub/www.python.org">Python</a> such that the Python interface is
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href="http://www.python.org">Python</a> such that the Python interface is
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very similar to the C++ interface. It is designed to be minimally
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intrusive on your C++ design. In most cases, you should not have to alter
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your C++ classes in any way in order to use them with BPL. The system

‎doc/overloading.html‎

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<ul>
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<li>Attribute lookup for extension classes proceeds in <a
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href="http://www.pythonlabs.com/pub/www.python.org/doc/current/tut/node11.html#SECTION0011510000000000000000">the
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href="http://www.python.org/doc/current/tut/node11.html#SECTION0011510000000000000000">the
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usual Python way</a> using a depth-first, left-to-right search. When a
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class is found which has a matching attribute, only functions overloaded
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in the context of that class are candidates for overload resolution. In

‎doc/special.html‎

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</h2>
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<p>
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BPL supports all of the standard <a href=
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"http://www.pythonlabs.com/pub/www.python.org/doc/current/ref/specialnames.html">
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"http://www.python.org/doc/current/ref/specialnames.html">
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special method names</a> supported by real Python class instances <em>
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except</em> <code>__complex__</code> (more on the reasons <a href=
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"#reasons">below</a>). In addition, it can quickly and easily expose
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Python provides a number of special operators for basic customization of a
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class. Only a brief description is provided below; more complete
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documentation can be found <a
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href="http://www.pythonlabs.com/pub/www.python.org/doc/current/ref/customization.html">here</a>.
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href="http://www.python.org/doc/current/ref/customization.html">here</a>.
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<dl>
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<dt>
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<p>
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Numeric operators can be exposed manually, by <code>def</code>ing C++
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[member] functions that support the standard Python <a
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href="http://www.pythonlabs.com/pub/www.python.org/doc/current/ref/numeric-types.html">numeric
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href="http://www.python.org/doc/current/ref/numeric-types.html">numeric
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protocols</a>. This is the same basic technique used to expose
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<code>to_string()</code> as <code>__str__()</code> above, and is <a
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href="#numeric_manual">covered in detail below</a>. BPL also supports
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<h2><a name="numeric_table">Table of Automatically Wrapped Methods</a></h2>
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<p>
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BPL can automatically wrap the following <a href=
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"http://www.pythonlabs.com/pub/www.python.org/doc/current/ref/specialnames.html">
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"http://www.python.org/doc/current/ref/specialnames.html">
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special methods</a>:
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<p>
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<p>
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It is a better idea to support the standard <a
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href="http://www.pythonlabs.com/pub/www.python.org/doc/current/ref/sequence-types.html">Python
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href="http://www.python.org/doc/current/ref/sequence-types.html">Python
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sequence and mapping protocols</a> for your wrapped containers. These
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operators have to be wrapped manually because there are no corresponding
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C++ operators that could be used for automatic wrapping. The Python
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documentation lists the relevant <a href=
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"http://www.pythonlabs.com/pub/www.python.org/doc/current/ref/sequence-types.html">
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"http://www.python.org/doc/current/ref/sequence-types.html">
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container operators</a>. In particular, expose __getitem__, __setitem__
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and remember to raise the appropriate Python exceptions
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(<code>PyExc_IndexError</code> for sequences,
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<p>
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Just like built-in Python classes, BPL extension classes support <a
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href="http://www.pythonlabs.com/pub/www.python.org/doc/current/ref/attribute-access.html">special
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href="http://www.python.org/doc/current/ref/attribute-access.html">special
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the usual attribute access methods</a> <code>__getattr__</code>,
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<code>__setattr__</code>, and <code>__delattr__</code>.
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Because writing these functions can

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