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<title>Working with Modules</title>
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<a name="n1"></a><H1>14 Working with Modules</H1>
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<!-- INDEX -->
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<ul>
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<li><a href="#n2">The SWIG runtime code</a>
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<li><a href="#n3">Compiling Multiple SWIG modules</a>
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<li><a href="#n4">A word of caution about static libraries</a>
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<li><a href="#n5">References</a>
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</ul>
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<!-- INDEX -->
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When first working with SWIG, users commonly start by creating a
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single module. That is, you might define a single SWIG interface that
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wraps some set of C code. You then compile all of the generated
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wrapper code into a module and use it. For large applications, however,
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this approach is problematic---the size of the generated wrapper code
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can be rather large. Moreover, it is probably easier to manage the
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scripting interface when it is broken up into smaller pieces.
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<p>
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This chapter describes the problem of using SWIG in programs
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where you want to create a collection of modules.
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<a name="n2"></a><H2>14.1 The SWIG runtime code</H2>
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All SWIG-generated wrapper modules include a set of functions
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commonly known as the "SWIG runtime." These functions are
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primarily related to the runtime type system which checks pointer
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types and performs other tasks such as proper casting of pointer
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values in C++.
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<p>
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By default, the runtime functions are private to each SWIG-generated
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module. That is, the runtime functions are declared with "static"
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linkage and are visible only to the wrapper functions defined in that
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module. If two completely different SWIG modules are loaded, this
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presents no problem---each module uses its own private runtime code.
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The only problem with this approach is that when more than one SWIG
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module is used in the same application, those modules often need to
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share type information. This is especially true for C++ programs
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where SWIG must collect and share information about inheritance
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relationships that cross module boundaries.
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<p>
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To solve the problem of sharing information across modules, the
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SWIG runtime functions need to be exposed in a way that allows data to
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be shared between modules. The next section describes how to do that.
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<a name="n3"></a><H2>14.2 Compiling Multiple SWIG modules</H2>
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Suppose that you have three SWIG interface files A.i, B.i, and C.i
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and suppose that these modules interact with each other. To make this work,
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there are two approaches you can take:
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<p>
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<b>Option 1:</b> Designate one module to provide the runtime code
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<p>
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With this option, one of the modules is designated as providing the runtime
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environment. This is done with the <tt>-runtime</tt> option like this:
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<blockquote>
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<pre>
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% swig -runtime -c++ -python A.i
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</pre>
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</blockquote>
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The other modules are then compiled without runtime support. This is done by
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supplying the <tt>-noruntime</tt> option like this:
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<blockquote>
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<pre>
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% swig -noruntime -c++ -python B.i
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% swig -noruntime -c++ -python C.i
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</pre>
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</blockquote>
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To use the modules, you compile and link everything as before, but you
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need to make sure that module A is loaded before all of the other
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modules are used---otherwise you will unresolved symbols.
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<p>
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Now, the bad news: This approach may or may not work depending on the platform you
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are using, what target language you are using, and the way that shared libraries work
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on the system. On many systems, the symbols contained in dynamically loaded modules
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are private. Therefore, even though module A provides the runtime code, the other modules
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won't be able to find it. You'll know if this is the case if you try to load the other modules
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and you get errors about unresolved SWIG_* functions.
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<p>
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<b>Option 2: Build a runtime library</b>
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<p>
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The second way to work with multiple modules is to create a special runtime library module.
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To do this, you first build a runtime library like this:
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<blockquote>
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<pre>
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% swig -runtime -python swigrun.i
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% # Build a shared library --- this is different on every machine! (shown for Linux)
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% gcc -fpic swigrun_wrap.c -o swigrun_wrap.o
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% gcc -shared swigrun_wrap.o -o libswigrunpy.so
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</pre>
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</blockquote>
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Now, you compile all of the normal SWIG modules using the <tt>-noruntime</tt> option:
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<blockquote>
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<pre>
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% swig -noruntime -c++ -python A.i
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% swig -noruntime -c++ -python B.i
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% swig -noruntime -c++ -python C.i
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</pre>
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</blockquote>
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Finally, when linking the dynamically loadable modules, you need to link again the special
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runtime library above. For example (Linux) :
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<blockquote>
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<pre>
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% g++ -shared A_wrap.o -L. -lswigrunpy -o _A.so
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% g++ -shared B_wrap.o -L. -lswigrunpy -o _B.so
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% g++ -shared C_wrap.o -L. -lswigrunpy -o _C.so
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</pre>
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</blockquote>
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Again, all of the details will vary depending on what compiler you use, the platform, target language,
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and so forth. The key point is that the runtime needs to be contained in a shared/dynamic library and
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you need to link all of the modules against that library.
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<p>
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When you use the modules created using this technique, the runtime code will be automatically loaded
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when the modules are imported. Moreover, since all of the modules are linked against the same runtime
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library, they will share that code.
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<a name="n4"></a><H2>14.3 A word of caution about static libraries</H2>
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When working with multiple SWIG modules, you should take care not to use static
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libraries. For example, if you have a static library <tt>libfoo.a</tt> and you link a collection
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of SWIG modules with that library, each module will get its own private copy of the library code inserted
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into it. This is very often <b>NOT</b> what you want and it can lead to unexpected or bizarre program
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behavior. When working with dynamically loadable modules, you should try to work exclusively with shared libaries.
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<a name="n5"></a><H2>14.4 References</H2>
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Due to the complexity of working with shared libraries and multiple modules, it might be a good idea to consult
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an outside reference. John Levine's "Linkers and Loaders" is highly recommended.
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<p><hr>
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<address>SWIG 1.3 - Last Modified : November 22, 2003</address>
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