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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 3.2//EN">
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<meta http-equiv="Content-Type" content="text/html; charset=windows-1252">
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<title>
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A Brief Introduction to writing Python extension modules
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</title>
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<h1>
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<img src="../../../c++boost.gif" alt="c++boost.gif (8819 bytes)" align="center"
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width="277" height="86">
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</h1>
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<h1>
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A Brief Introduction to writing Python extension modules
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</h1>
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<p>
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Interfacing any language to Python involves building a module which can
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be loaded by the Python interpreter, but which isn't written in Python.
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This is known as an <em>extension module</em>. Many of the <a href=
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"http://www.python.org/doc/current/lib/lib.html">built-in Python
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libraries</a> are constructed in 'C' this way; Python even supplies its
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<a href="http://www.python.org/doc/current/lib/types.html">fundamental
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types</a> using the same mechanism. An extension module can be statically
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linked with the Python interpreter, but it more commonly resides in a
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shared library or DLL.
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<p>
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As you can see from <a href=
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"http://www.python.org/doc/current/ext/ext.html"> The Python Extending
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and Embedding Tutorial</a>, writing an extension module normally means
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worrying about
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<ul>
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<li>
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<a href="http://www.python.org/doc/current/ext/refcounts.html">
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maintaining reference counts</a>
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<li>
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<a href="http://www.python.org/doc/current/ext/callingPython.html"> how
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to call back into Python</a>
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<li>
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<a href="http://www.python.org/doc/current/ext/parseTuple.html">
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function argument parsing and typechecking</a>
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</ul>
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This last item typically occupies a great deal of code in an extension
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module. Remember that Python is a completely dynamic language. A callable
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object receives its arguments in a tuple; it is up to that object to extract
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those arguments from the tuple, check their types, and raise appropriate
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exceptions. There are numerous other tedious details that need to be
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managed; too many to mention here. The Boost Python Library is designed to
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lift most of that burden.<br>
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<br>
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<p>
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Another obstacle that most people run into eventually when extending
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Python is that there's no way to make a true Python class in an extension
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module. The typical solution is to create a new Python type in the
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extension module, and then write an additional module in 100% Python. The
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Python module defines a Python class which dispatches to an instance of
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the extension type, which it contains. This allows users to write
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subclasses of the class in the Python module, almost as though they were
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sublcassing the extension type. Aside from being tedious, it's not really
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the same as having a true class, because there's no way for the user to
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override a method of the extension type which is called from the
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extension module. Boost.Python solves this problem by taking advantage of <a
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href="http://www.python.org/doc/essays/metaclasses/">Python's metaclass
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feature</a> to provide objects which look, walk, and hiss almost exactly
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like regular Python classes. Boost.Python classes are actually cleaner than
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Python classes in some subtle ways; a more detailed discussion will
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follow (someday).</p>
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<p>Next: <a href="comparisons.html">Comparisons with Other Systems</a> Up: <a
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href="index.html">Top</a> </p>
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<p>
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© Copyright David Abrahams 2000. Permission to copy, use, modify,
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sell and distribute this document is granted provided this copyright
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notice appears in all copies. This document is provided "as is" without
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express or implied warranty, and with no claim as to its suitability for
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any purpose.</p>
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