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<H1>SWIG-
1.3 Documentation
</H1></A><BR>
<H1 ALIGN=
"CENTER"><A NAME=
"CONTENTS">Table of Contents
</A></H1>
<BR><B><A HREF=
"#Sections">SWIG-
1.3 Development Documentation
</A></B>
<LI><A HREF=
"#1_1">Sections
</A>
<LI><A HREF=
"#1_1_1">SWIG Core Documentation
</A></LI>
<LI><A HREF=
"#1_1_2">Language Module Documentation
</A></LI>
<LI><A HREF=
"#1_1_3">Developer Documentation
</A></LI>
<LI><A HREF=
"#1_1_4">Documentation that has not yet been updated
</A></LI>
<B><A HREF=
"#Preface">1 Preface
</A></B>
<LI><A HREF=
"#Preface_nn2">1.1 Introduction
</A></LI>
<LI><A HREF=
"#Preface_nn3">1.2 Special Introduction for Version
1.3</A></LI>
<LI><A HREF=
"#Preface_nn4">1.3 SWIG Versions
</A></LI>
<LI><A HREF=
"#Preface_nn5">1.4 SWIG resources
</A></LI>
<LI><A HREF=
"#Preface_nn6">1.5 Prerequisites
</A></LI>
<LI><A HREF=
"#Preface_nn7">1.6 Organization of this manual
</A></LI>
<LI><A HREF=
"#Preface_nn8">1.7 How to avoid reading the manual
</A></LI>
<LI><A HREF=
"#Preface_nn9">1.8 Backwards Compatibility
</A></LI>
<LI><A HREF=
"#Preface_nn10">1.9 Credits
</A></LI>
<LI><A HREF=
"#Preface_nn11">1.10 Bug reports
</A></LI>
<B><A HREF=
"#Introduction">2 Introduction
</A></B>
<LI><A HREF=
"#Introduction_nn2">2.1 What is SWIG?
</A></LI>
<LI><A HREF=
"#Introduction_nn3">2.2 Why use SWIG?
</A></LI>
<LI><A HREF=
"#Introduction_nn4">2.3 A SWIG example
</A>
<LI><A HREF=
"#Introduction_nn5">2.3.1 SWIG interface file
</A></LI>
<LI><A HREF=
"#Introduction_nn6">2.3.2 The swig command
</A></LI>
<LI><A HREF=
"#Introduction_nn7">2.3.3 Building a Perl5 module
</A></LI>
<LI><A HREF=
"#Introduction_nn8">2.3.4 Building a Python module
</A></LI>
<LI><A HREF=
"#Introduction_nn9">2.3.5 Shortcuts
</A></LI>
<LI><A HREF=
"#Introduction_nn10">2.4 Supported C/C++ language features
</A>
<LI><A HREF=
"#Introduction_nn11">2.5 Non-intrusive interface building
</A>
<LI><A HREF=
"#Introduction_build_system">2.6 Incorporating SWIG into a
<LI><A HREF=
"#Introduction_nn12">2.7 Hands off code generation
</A></LI>
<LI><A HREF=
"#Introduction_nn13">2.8 SWIG and freedom
</A></LI>
<B><A HREF=
"#Windows">3 Getting started on Windows
</A></B>
<LI><A HREF=
"#Windows_nn2">3.1 Installation on Windows
</A>
<LI><A HREF=
"#Windows_nn3">3.1.1 Windows Executable
</A></LI>
<LI><A HREF=
"#examples">3.2 SWIG Windows Examples
</A>
<LI><A HREF=
"#Windows_nn5">3.2.1 Instructions for using the Examples
<LI><A HREF=
"#Windows_nn6">3.2.1.1 Python
</A></LI>
<LI><A HREF=
"#Windows_nn7">3.2.1.2 TCL
</A></LI>
<LI><A HREF=
"#Windows_nn8">3.2.1.3 Perl
</A></LI>
<LI><A HREF=
"#Windows_nn9">3.2.1.4 Java
</A></LI>
<LI><A HREF=
"#Windows_nn10">3.2.1.5 Ruby
</A></LI>
<LI><A HREF=
"#Windows_nn11">3.2.1.6 C#
</A></LI>
<LI><A HREF=
"#Windows_nn12">3.2.2 Instructions for using the Examples
with other compilers
</A></LI><LI><A HREF=
"#Windows_nn13">3.3 SWIG on Cygwin and MinGW
</A>
<LI><A HREF=
"#swig_exe">3.3.1 Building swig.exe on Windows
</A>
<LI><A HREF=
"#Windows_nn15">3.3.1.1 Building swig.exe using MinGW and
<LI><A HREF=
"#Windows_nn16">3.3.1.2 Building swig.exe using Cygwin
</A></LI>
<LI><A HREF=
"#Windows_nn17">3.3.1.3 Building swig.exe alternatives
</A></LI>
<LI><A HREF=
"#examples_cygwin">3.3.2 Running the examples on Windows
<B><A HREF=
"#Scripting">4 Scripting Languages
</A></B>
<LI><A HREF=
"#Scripting_nn2">4.1 The two language view of the world
</A></LI>
<LI><A HREF=
"#Scripting_nn3">4.2 How does a scripting language talk to
<LI><A HREF=
"#Scripting_nn4">4.2.1 Wrapper functions
</A></LI>
<LI><A HREF=
"#Scripting_nn5">4.2.2 Variable linking
</A></LI>
<LI><A HREF=
"#Scripting_nn6">4.2.3 Constants
</A></LI>
<LI><A HREF=
"#Scripting_nn7">4.2.4 Structures and classes
</A></LI>
<LI><A HREF=
"#Scripting_nn8">4.2.5 Proxy classes
</A></LI>
<LI><A HREF=
"#Scripting_nn9">4.3 Building scripting language extensions
</A>
<LI><A HREF=
"#Scripting_nn10">4.3.1 Shared libraries and dynamic loading
</A>
<LI><A HREF=
"#Scripting_nn11">4.3.2 Linking with shared libraries
</A></LI>
<LI><A HREF=
"#Scripting_nn12">4.3.3 Static linking
</A></LI>
<B><A HREF=
"#SWIG">5 SWIG Basics
</A></B>
<LI><A HREF=
"#SWIG_nn2">5.1 Running SWIG
</A>
<LI><A HREF=
"#SWIG_nn3">5.1.1 Input format
</A></LI>
<LI><A HREF=
"#output">5.1.2 SWIG Output
</A></LI>
<LI><A HREF=
"#SWIG_nn5">5.1.3 Comments
</A></LI>
<LI><A HREF=
"#SWIG_nn6">5.1.4 C Preprocessor
</A></LI>
<LI><A HREF=
"#SWIG_nn7">5.1.5 SWIG Directives
</A></LI>
<LI><A HREF=
"#SWIG_nn8">5.1.6 Parser Limitations
</A></LI>
<LI><A HREF=
"#SWIG_nn9">5.2 Wrapping Simple C Declarations
</A>
<LI><A HREF=
"#SWIG_nn10">5.2.1 Basic Type Handling
</A></LI>
<LI><A HREF=
"#SWIG_nn11">5.2.2 Global Variables
</A></LI>
<LI><A HREF=
"#SWIG_nn12">5.2.3 Constants
</A></LI>
<LI><A HREF=
"#SWIG_nn13">5.2.4 A brief word about const
</A></LI>
<LI><A HREF=
"#SWIG_nn14">5.2.5 A cautionary tale of char *
</A></LI>
<LI><A HREF=
"#SWIG_nn15">5.3 Pointers and complex objects
</A>
<LI><A HREF=
"#SWIG_nn16">5.3.1 Simple pointers
</A></LI>
<LI><A HREF=
"#SWIG_nn17">5.3.2 Run time pointer type checking
</A></LI>
<LI><A HREF=
"#SWIG_nn18">5.3.3 Derived types, structs, and classes
</A></LI>
<LI><A HREF=
"#SWIG_nn19">5.3.4 Undefined datatypes
</A></LI>
<LI><A HREF=
"#SWIG_nn20">5.3.5 Typedef
</A></LI>
<LI><A HREF=
"#SWIG_nn21">5.4 Other Practicalities
</A>
<LI><A HREF=
"#SWIG_nn22">5.4.1 Passing structures by value
</A></LI>
<LI><A HREF=
"#SWIG_nn23">5.4.2 Return by value
</A></LI>
<LI><A HREF=
"#SWIG_nn24">5.4.3 Linking to structure variables
</A></LI>
<LI><A HREF=
"#SWIG_nn25">5.4.4 Linking to char *
</A></LI>
<LI><A HREF=
"#SWIG_nn26">5.4.5 Arrays
</A></LI>
<LI><A HREF=
"#SWIG_readonly_variables">5.4.6 Creating read-only
<LI><A HREF=
"#SWIG_nn28">5.4.7 Renaming and ignoring declarations
</A></LI>
<LI><A HREF=
"#SWIG_default_args">5.4.8 Default/optional arguments
</A></LI>
<LI><A HREF=
"#SWIG_nn30">5.4.9 Pointers to functions and callbacks
</A></LI>
<LI><A HREF=
"#SWIG_nn31">5.5 Structures and unions
</A>
<LI><A HREF=
"#SWIG_nn32">5.5.1 Typedef and structures
</A></LI>
<LI><A HREF=
"#SWIG_nn33">5.5.2 Character strings and structures
</A></LI>
<LI><A HREF=
"#SWIG_nn34">5.5.3 Array members
</A></LI>
<LI><A HREF=
"#SWIG_nn35">5.5.4 Structure data members
</A></LI>
<LI><A HREF=
"#SWIG_nn36">5.5.5 C constructors and destructors
</A></LI>
<LI><A HREF=
"#SWIG_adding_member_functions">5.5.6 Adding member
functions to C structures
</A></LI><LI><A HREF=
"#SWIG_nn38">5.5.7 Nested structures
</A></LI>
<LI><A HREF=
"#SWIG_nn39">5.5.8 Other things to note about structure
<LI><A HREF=
"#SWIG_nn40">5.6 Code Insertion
</A>
<LI><A HREF=
"#SWIG_nn41">5.6.1 The output of SWIG
</A></LI>
<LI><A HREF=
"#SWIG_nn42">5.6.2 Code insertion blocks
</A></LI>
<LI><A HREF=
"#SWIG_nn43">5.6.3 Inlined code blocks
</A></LI>
<LI><A HREF=
"#SWIG_nn44">5.6.4 Initialization blocks
</A></LI>
<LI><A HREF=
"#SWIG_nn45">5.7 An Interface Building Strategy
</A>
<LI><A HREF=
"#SWIG_nn46">5.7.1 Preparing a C program for SWIG
</A></LI>
<LI><A HREF=
"#SWIG_nn47">5.7.2 The SWIG interface file
</A></LI>
<LI><A HREF=
"#SWIG_nn48">5.7.3 Why use separate interface files?
</A></LI>
<LI><A HREF=
"#SWIG_nn49">5.7.4 Getting the right header files
</A></LI>
<LI><A HREF=
"#SWIG_nn50">5.7.5 What to do with main()
</A></LI>
<B><A HREF=
"#SWIGPlus">6 SWIG and C++
</A></B>
<LI><A HREF=
"#SWIGPlus_nn2">6.1 Comments on C++ Wrapping
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn3">6.2 Approach
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn4">6.3 Supported C++ features
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn5">6.4 Command line options and compilation
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn6">6.5 Simple C++ wrapping
</A>
<LI><A HREF=
"#SWIGPlus_nn7">6.5.1 Constructors and destructors
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn8">6.5.2 Default constructors
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn9">6.5.3 When constructor wrappers aren't
<LI><A HREF=
"#SWIGPlus_nn10">6.5.4 Copy constructors
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn11">6.5.5 Member functions
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn12">6.5.6 Static members
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn13">6.5.7 Member data
</A></LI>
<LI><A HREF=
"#SWIGPlus_default_args">6.6 Default arguments
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn15">6.7 Protection
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn16">6.8 Enums and constants
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn17">6.9 Friends
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn18">6.10 References and pointers
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn19">6.11 Pass and return by value
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn20">6.12 Inheritance
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn21">6.13 A brief discussion of multiple
inheritance, pointers, and type checking
</A></LI><LI><A HREF=
"#SWIGPlus_nn22">6.14 Renaming
</A></LI>
<LI><A HREF=
"#SWIGPlus_overloaded_methods">6.15 Wrapping Overloaded
Functions and Methods
</A><LI><A HREF=
"#SWIGPlus_nn24">6.15.1 Dispatch function generation
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn25">6.15.2 Ambiguity in Overloading
</A></LI>
<LI><A HREF=
"#ambiguity_resolution_renaming">6.15.3 Ambiguity resolution
<LI><A HREF=
"#SWIGPlus_nn27">6.15.4 Comments on overloading
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn28">6.16 Wrapping overloaded operators
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn29">6.17 Class extension
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn30">6.18 Templates
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn31">6.19 Namespaces
</A></LI>
<LI><A HREF=
"#SWIGPlus_exception_specifications">6.20 Exception
<LI><A HREF=
"#SWIGPlus_nn33">6.21 Pointers to Members
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn34">6.22 Smart pointers and operator-
>()
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn35">6.23 Using declarations and inheritance
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn36">6.24 Partial class definitions
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn37">6.25 A brief rant about const-correctness
</A>
<LI><A HREF=
"#SWIGPlus_nn38">6.26 Proxy classes
</A>
<LI><A HREF=
"#SWIGPlus_nn39">6.26.1 Construction of proxy classes
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn40">6.26.2 Resource management in proxies
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn41">6.26.3 Language specific details
</A></LI>
<LI><A HREF=
"#SWIGPlus_nn42">6.27 Where to go for more information
</A></LI>
<B><A HREF=
"#Preprocessor">7 Preprocessing
</A></B>
<LI><A HREF=
"#Preprocessor_nn2">7.1 File inclusion
</A></LI>
<LI><A HREF=
"#Preprocessor_nn3">7.2 File imports
</A></LI>
<LI><A HREF=
"#Preprocessor_nn4">7.3 Conditional Compilation
</A></LI>
<LI><A HREF=
"#Preprocessor_nn5">7.4 Macro Expansion
</A></LI>
<LI><A HREF=
"#Preprocessor_nn6">7.5 SWIG Macros
</A></LI>
<LI><A HREF=
"#Preprocessor_nn7">7.6 C99 and GNU Extensions
</A></LI>
<LI><A HREF=
"#Preprocessor_nn8">7.7 Preprocessing and %{ ... %} blocks
</A>
<LI><A HREF=
"#Preprocessor_nn9">7.8 Preprocessing and { ... }
</A></LI>
<LI><A HREF=
"#Preprocessor_nn10">7.9 Viewing preprocessor output
</A></LI>
<B><A HREF=
"#Library">8 SWIG library
</A></B>
<LI><A HREF=
"#Library_nn2">8.1 The %include directive and library search
<LI><A HREF=
"#Library_nn3">8.2 C Arrays and Pointers
</A>
<LI><A HREF=
"#Library_nn4">8.2.1 cpointer.i
</A></LI>
<LI><A HREF=
"#Library_nn5">8.2.2 carrays.i
</A></LI>
<LI><A HREF=
"#Library_nn6">8.2.3 cmalloc.i
</A></LI>
<LI><A HREF=
"#Library_nn7">8.2.4 cdata.i
</A></LI>
<LI><A HREF=
"#Library_nn8">8.3 C String Handling
</A>
<LI><A HREF=
"#Library_nn9">8.3.1 Default string handling
</A></LI>
<LI><A HREF=
"#Library_nn10">8.3.2 Passing binary data
</A></LI>
<LI><A HREF=
"#Library_nn11">8.3.3 Using %newobject to release memory
</A></LI>
<LI><A HREF=
"#Library_nn12">8.3.4 cstring.i
</A></LI>
<LI><A HREF=
"#Library_stl_cpp_library">8.4 STL/C++ Library
</A>
<LI><A HREF=
"#Library_nn14">8.4.1 std_string.i
</A></LI>
<LI><A HREF=
"#Library_nn15">8.4.2 std_vector.i
</A></LI>
<LI><A HREF=
"#Library_stl_exceptions">8.4.3 STL exceptions
</A></LI>
<LI><A HREF=
"#Library_nn16">8.5 Utility Libraries
</A>
<LI><A HREF=
"#Library_nn17">8.5.1 exception.i
</A></LI>
<B><A HREF=
"#Arguments">9 Argument Handling
</A></B>
<LI><A HREF=
"#Arguments_nn2">9.1 The typemaps.i library
</A>
<LI><A HREF=
"#Arguments_nn3">9.1.1 Introduction
</A></LI>
<LI><A HREF=
"#Arguments_nn4">9.1.2 Input parameters
</A></LI>
<LI><A HREF=
"#Arguments_nn5">9.1.3 Output parameters
</A></LI>
<LI><A HREF=
"#Arguments_nn6">9.1.4 Input/Output parameters
</A></LI>
<LI><A HREF=
"#Arguments_nn7">9.1.5 Using different names
</A></LI>
<LI><A HREF=
"#Arguments_nn8">9.2 Applying constraints to input values
</A>
<LI><A HREF=
"#Arguments_nn9">9.2.1 Simple constraint example
</A></LI>
<LI><A HREF=
"#Arguments_nn10">9.2.2 Constraint methods
</A></LI>
<LI><A HREF=
"#Arguments_nn11">9.2.3 Applying constraints to new
<B><A HREF=
"#Typemaps">10 Typemaps
</A></B>
<LI><A HREF=
"#Typemaps_nn2">10.1 Introduction
</A>
<LI><A HREF=
"#Typemaps_nn3">10.1.1 Type conversion
</A></LI>
<LI><A HREF=
"#Typemaps_nn4">10.1.2 Typemaps
</A></LI>
<LI><A HREF=
"#Typemaps_nn5">10.1.3 Pattern matching
</A></LI>
<LI><A HREF=
"#Typemaps_nn6">10.1.4 Reusing typemaps
</A></LI>
<LI><A HREF=
"#Typemaps_nn7">10.1.5 What can be done with typemaps?
</A></LI>
<LI><A HREF=
"#Typemaps_nn8">10.1.6 What can't be done with typemaps?
</A></LI>
<LI><A HREF=
"#Typemaps_nn9">10.1.7 The rest of this chapter
</A></LI>
<LI><A HREF=
"#Typemaps_nn10">10.2 Typemap specifications
</A>
<LI><A HREF=
"#Typemaps_nn11">10.2.1 Defining a typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn12">10.2.2 Typemap scope
</A></LI>
<LI><A HREF=
"#Typemaps_nn13">10.2.3 Copying a typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn14">10.2.4 Deleting a typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn15">10.2.5 Placement of typemaps
</A></LI>
<LI><A HREF=
"#Typemaps_nn16">10.3 Pattern matching rules
</A>
<LI><A HREF=
"#Typemaps_nn17">10.3.1 Basic matching rules
</A></LI>
<LI><A HREF=
"#Typemaps_nn18">10.3.2 Typedef reductions
</A></LI>
<LI><A HREF=
"#Typemaps_nn19">10.3.3 Default typemaps
</A></LI>
<LI><A HREF=
"#Typemaps_mixed_default">10.3.4 Mixed default typemaps
</A></LI>
<LI><A HREF=
"#Typemaps_nn20">10.3.5 Multi-arguments typemaps
</A></LI>
<LI><A HREF=
"#Typemaps_nn21">10.4 Code generation rules
</A>
<LI><A HREF=
"#Typemaps_nn22">10.4.1 Scope
</A></LI>
<LI><A HREF=
"#Typemaps_nn23">10.4.2 Declaring new local variables
</A></LI>
<LI><A HREF=
"#Typemaps_nn24">10.4.3 Special variables
</A></LI>
<LI><A HREF=
"#Typemaps_nn25">10.5 Common typemap methods
</A>
<LI><A HREF=
"#Typemaps_nn26">10.5.1 "in
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn27">10.5.2 "typecheck
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn28">10.5.3 "out
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn29">10.5.4 "arginit
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn30">10.5.5 "default
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn31">10.5.6 "check
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn32">10.5.7 "argout
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn33">10.5.8 "freearg
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn34">10.5.9 "newfree
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn35">10.5.10 "memberin
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn36">10.5.11 "varin
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn37">10.5.12 "varout
" typemap
</A></LI>
<LI><A HREF=
"#throws_typemap">10.5.13 "throws
" typemap
</A></LI>
<LI><A HREF=
"#Typemaps_nn39">10.6 Some typemap examples
</A>
<LI><A HREF=
"#Typemaps_nn40">10.6.1 Typemaps for arrays
</A></LI>
<LI><A HREF=
"#Typemaps_nn41">10.6.2 Implementing constraints with
<LI><A HREF=
"#Typemaps_nn42">10.7 Multi-argument typemaps
</A></LI>
<LI><A HREF=
"#runtime_type_checker">10.8 The run-time type checker
</A>
<LI><A HREF=
"#Typemaps_nn45">10.8.1 Implementation
</A></LI>
<LI><A HREF=
"#Typemaps_nn46">10.8.2 Usage
</A></LI>
<LI><A HREF=
"#Typemaps_overloading">10.9 Typemaps and overloading
</A></LI>
<LI><A HREF=
"#Typemaps_nn48">10.10 More about %apply and %clear
</A></LI>
<LI><A HREF=
"#Typemaps_nn49">10.11 Reducing wrapper code size
</A></LI>
<LI><A HREF=
"#Typemaps_nn47">10.12 Passing data between typemaps
</A></LI>
<LI><A HREF=
"#Typemaps_nn51">10.13 Where to go for more information?
</A></LI>
<B><A HREF=
"#Customization">11 Customization Features
</A></B>
<LI><A HREF=
"#exception">11.1 Exception handling with %exception
</A>
<LI><A HREF=
"#Customization_nn3">11.1.1 Handling exceptions in C code
</A>
<LI><A HREF=
"#Customization_nn4">11.1.2 Exception handling with
<LI><A HREF=
"#Customization_nn5">11.1.3 Handling C++ exceptions
</A></LI>
<LI><A HREF=
"#Customization_nn6">11.1.4 Defining different exception
<LI><A HREF=
"#Customization_nn7">11.1.5 Using The SWIG exception library
</A>
<LI><A HREF=
"#ownership">11.2 Object ownership and %newobject
</A></LI>
<LI><A HREF=
"#features">11.3 Features and the %feature directive
</A>
<LI><A HREF=
"#Customization_feature_flags">11.3.1 Feature flags
</A></LI>
<LI><A HREF=
"#Customization_clearing_features">11.3.2 Clearing features
</A>
<LI><A HREF=
"#Customization_features_default_args">11.3.3 Features and
default arguments
</A></LI><LI><A HREF=
"#features_example">11.3.4 Feature example
</A></LI>
<B><A HREF=
"#Contract">12 Contracts
</A></B>
<LI><A HREF=
"#Contract_nn2">12.1 The %contract directive
</A></LI>
<LI><A HREF=
"#Contract_nn3">12.2 %contract and classes
</A></LI>
<LI><A HREF=
"#Contract_nn4">12.3 Constant aggregation and
%aggregate_check
</A></LI><LI><A HREF=
"#Contract_nn5">12.4 Notes
</A></LI>
<B><A HREF=
"#Varargs">13 Variable Length Arguments
</A></B>
<LI><A HREF=
"#Varargs_nn2">13.1 Introduction
</A></LI>
<LI><A HREF=
"#Varargs_nn3">13.2 The Problem
</A></LI>
<LI><A HREF=
"#Varargs_nn4">13.3 Default varargs support
</A></LI>
<LI><A HREF=
"#Varargs_nn5">13.4 Argument replacement using %varargs
</A></LI>
<LI><A HREF=
"#Varargs_nn6">13.5 Varargs and typemaps
</A></LI>
<LI><A HREF=
"#Varargs_nn7">13.6 Varargs wrapping with libffi
</A></LI>
<LI><A HREF=
"#Varargs_nn8">13.7 Wrapping of va_list
</A></LI>
<LI><A HREF=
"#Varargs_nn9">13.8 C++ Issues
</A></LI>
<LI><A HREF=
"#Varargs_nn10">13.9 Discussion
</A></LI>
<B><A HREF=
"#Warnings">14 Warning Messages
</A></B>
<LI><A HREF=
"#Warnings_nn2">14.1 Introduction
</A></LI>
<LI><A HREF=
"#Warnings_nn3">14.2 Warning message suppression
</A></LI>
<LI><A HREF=
"#Warnings_nn4">14.3 Enabling additional warnings
</A></LI>
<LI><A HREF=
"#Warnings_nn5">14.4 Issuing a warning message
</A></LI>
<LI><A HREF=
"#Warnings_nn6">14.5 Commentary
</A></LI>
<LI><A HREF=
"#Warnings_nn7">14.6 Warnings as errors
</A></LI>
<LI><A HREF=
"#Warnings_nn8">14.7 Message output format
</A></LI>
<LI><A HREF=
"#Warnings_nn9">14.8 Warning number reference
</A>
<LI><A HREF=
"#Warnings_nn10">14.8.1 Deprecated features (
100-
199)
</A></LI>
<LI><A HREF=
"#Warnings_nn11">14.8.2 Preprocessor (
200-
299)
</A></LI>
<LI><A HREF=
"#Warnings_nn12">14.8.3 C/C++ Parser (
300-
399)
</A></LI>
<LI><A HREF=
"#Warnings_nn13">14.8.4 Types and typemaps (
400-
499)
</A></LI>
<LI><A HREF=
"#Warnings_nn14">14.8.5 Code generation (
500-
599)
</A></LI>
<LI><A HREF=
"#Warnings_nn15">14.8.6 Language module specific (
800-
899)
</A>
<LI><A HREF=
"#Warnings_nn16">14.8.7 User defined (
900-
999)
</A></LI>
<LI><A HREF=
"#Warnings_nn17">14.9 History
</A></LI>
<B><A HREF=
"#Modules">15 Working with Modules
</A></B>
<LI><A HREF=
"#Modules_nn2">15.1 The SWIG runtime code
</A></LI>
<LI><A HREF=
"#external_run_time">15.2 External access to the runtime
</A></LI>
<LI><A HREF=
"#Modules_nn4">15.3 A word of caution about static libraries
</A>
<LI><A HREF=
"#Modules_nn5">15.4 References
</A></LI>
<LI><A HREF=
"#Modules_nn6">15.5 Reducing the wrapper file size
</A></LI>
<B><A HREF=
"#CSharp">16 SWIG and C#
</A></B>
<LI><A HREF=
"#csharp_introduction">16.1 Introduction
</A></LI>
<LI><A HREF=
"#csharp_differences_java">16.2 Differences to the Java
<LI><A HREF=
"#csharp_exceptions">16.3 C# Exceptions
</A>
<LI><A HREF=
"#csharp_exception_example_check_typemap">16.3.1 C#
exception example using
"check
" typemap
</A></LI><LI><A HREF=
"#csharp_exception_example_percent_exception">16.3.2 C#
exception example using %exception
</A></LI><LI><A HREF=
"#csharp_exception_example_exception_specifications">16.3.3
C# exception example using exception specifications
</A></LI><LI><A HREF=
"#csharp_custom_application_exception">16.3.4 Custom C#
ApplicationException example
</A></LI><B><A HREF=
"#Chicken">17 SWIG and Chicken
</A></B>
<LI><A HREF=
"#Chicken_nn2">17.1 Preliminaries
</A>
<LI><A HREF=
"#Chicken_nn3">17.1.1 Running SWIG in C mode
</A></LI>
<LI><A HREF=
"#Chicken_nn4">17.1.2 Running SWIG in C++ mode
</A></LI>
<LI><A HREF=
"#Chicken_nn5">17.2 Code Generation
</A>
<LI><A HREF=
"#Chicken_nn6">17.2.1 Naming Conventions
</A></LI>
<LI><A HREF=
"#Chicken_nn7">17.2.2 Modules
</A></LI>
<LI><A HREF=
"#Chicken_nn8">17.2.3 Constants and Variables
</A></LI>
<LI><A HREF=
"#Chicken_nn9">17.2.4 Functions
</A></LI>
<LI><A HREF=
"#Chicken_nn10">17.2.5 Exceptions
</A></LI>
<LI><A HREF=
"#Chicken_nn11">17.3 TinyCLOS
</A></LI>
<LI><A HREF=
"#Chicken_nn12">17.4 Linkage
</A>
<LI><A HREF=
"#Chicken_nn13">17.4.1 Static binary or shared library
linked at compile time
</A></LI><LI><A HREF=
"#Chicken_nn14">17.4.2 Building chicken extension libraries
</A>
<LI><A HREF=
"#Chicken_nn15">17.4.3 Linking multiple SWIG modules with
<LI><A HREF=
"#Chicken_nn16">17.5 Typemaps
</A></LI>
<LI><A HREF=
"#Chicken_nn17">17.6 Pointers
</A>
<LI><A HREF=
"#collection">17.6.1 Garbage collection
</A></LI>
<LI><A HREF=
"#Chicken_nn18">17.7 Unsupported features and known problems
</A>
<B><A HREF=
"#Guile">18 SWIG and Guile
</A></B>
<LI><A HREF=
"#Guile_nn2">18.1 Meaning of
"Module
"</A></LI>
<LI><A HREF=
"#Guile_nn3">18.2 Using the SCM or GH Guile API
</A></LI>
<LI><A HREF=
"#Guile_nn4">18.3 Linkage
</A>
<LI><A HREF=
"#Guile_nn5">18.3.1 Simple Linkage
</A></LI>
<LI><A HREF=
"#Guile_nn6">18.3.2 Passive Linkage
</A></LI>
<LI><A HREF=
"#Guile_nn7">18.3.3 Native Guile Module Linkage
</A></LI>
<LI><A HREF=
"#Guile_nn8">18.3.4 Old Auto-Loading Guile Module Linkage
</A>
<LI><A HREF=
"#Guile_nn9">18.3.5 Hobbit4D Linkage
</A></LI>
<LI><A HREF=
"#Guile_nn10">18.4 Underscore Folding
</A></LI>
<LI><A HREF=
"#Guile_nn11">18.5 Typemaps
</A></LI>
<LI><A HREF=
"#Guile_nn12">18.6 Representation of pointers as smobs
</A>
<LI><A HREF=
"#Guile_nn13">18.6.1 GH Smobs
</A></LI>
<LI><A HREF=
"#Guile_nn14">18.6.2 SCM Smobs
</A></LI>
<LI><A HREF=
"#Guile_nn15">18.6.3 Garbage Collection
</A></LI>
<LI><A HREF=
"#Guile_nn16">18.7 Exception Handling
</A></LI>
<LI><A HREF=
"#Guile_nn17">18.8 Procedure documentation
</A></LI>
<LI><A HREF=
"#Guile_nn18">18.9 Procedures with setters
</A></LI>
<LI><A HREF=
"#Guile_nn19">18.10 GOOPS Proxy Classes
</A>
<LI><A HREF=
"#Guile_nn20">18.10.1 Naming Issues
</A></LI>
<LI><A HREF=
"#Guile_nn21">18.10.2 Linking
</A></LI>
<B><A HREF=
"#Java">19 SWIG and Java
</A></B>
<LI><A HREF=
"#java_overview">19.1 Overview
</A></LI>
<LI><A HREF=
"#java_preliminaries">19.2 Preliminaries
</A>
<LI><A HREF=
"#running_swig">19.2.1 Running SWIG
</A></LI>
<LI><A HREF=
"#java_commandline">19.2.2 Additional Commandline Options
</A>
<LI><A HREF=
"#getting_right_headers">19.2.3 Getting the right header
<LI><A HREF=
"#compiling_dynamic">19.2.4 Compiling a dynamic module
</A></LI>
<LI><A HREF=
"#using_module">19.2.5 Using your module
</A></LI>
<LI><A HREF=
"#dynamic_linking_problems">19.2.6 Dynamic linking problems
</A>
<LI><A HREF=
"#compilation_problems_cpp">19.2.7 Compilation problems and
compiling with C++
</A></LI><LI><A HREF=
"#building_windows">19.2.8 Building on Windows
</A>
<LI><A HREF=
"#visual_studio">19.2.8.1 Running SWIG from Visual Studio
</A>
<LI><A HREF=
"#nmake">19.2.8.2 Using NMAKE
</A></LI>
<LI><A HREF=
"#java_basic_tour">19.3 A tour of basic C/C++ wrapping
</A>
<LI><A HREF=
"#module_packages_classes">19.3.1 Modules, packages and
generated Java classes
</A></LI><LI><A HREF=
"#functions">19.3.2 Functions
</A></LI>
<LI><A HREF=
"#global_variables">19.3.3 Global variables
</A></LI>
<LI><A HREF=
"#constants">19.3.4 Constants
</A></LI>
<LI><A HREF=
"#enumerations">19.3.5 Enumerations
</A>
<LI><A HREF=
"#anonymous_enums">19.3.5.1 Anonymous enums
</A></LI>
<LI><A HREF=
"#typesafe_enums">19.3.5.2 Typesafe enums
</A></LI>
<LI><A HREF=
"#proper_enums">19.3.5.3 Proper Java enums
</A></LI>
<LI><A HREF=
"#typeunsafe_enums">19.3.5.4 Type unsafe enums
</A></LI>
<LI><A HREF=
"#simple_enums">19.3.5.5 Simple enums
</A></LI>
<LI><A HREF=
"#pointers">19.3.6 Pointers
</A></LI>
<LI><A HREF=
"#structures">19.3.7 Structures
</A></LI>
<LI><A HREF=
"#classes">19.3.8 C++ classes
</A></LI>
<LI><A HREF=
"#inheritance">19.3.9 C++ inheritance
</A></LI>
<LI><A HREF=
"#pointers_refs_arrays">19.3.10 Pointers, references, arrays
<LI><A HREF=
"#null_pointers">19.3.10.1 Null pointers
</A></LI>
<LI><A HREF=
"#overloaded_functions">19.3.11 C++ overloaded functions
</A></LI>
<LI><A HREF=
"#java_default_arguments">19.3.12 C++ default arguments
</A></LI>
<LI><A HREF=
"#namespaces">19.3.13 C++ namespaces
</A></LI>
<LI><A HREF=
"#templates">19.3.14 C++ templates
</A></LI>
<LI><A HREF=
"#smart_pointers">19.3.15 C++ Smart Pointers
</A></LI>
<LI><A HREF=
"#further_details">19.4 Further details on the generated
<LI><A HREF=
"#imclass">19.4.1 The intermediary JNI class
</A>
<LI><A HREF=
"#imclass_pragmas">19.4.1.1 The intermediary JNI class
<LI><A HREF=
"#java_module_class">19.4.2 The Java module class
</A>
<LI><A HREF=
"#module_class_pragmas">19.4.2.1 The Java module class
<LI><A HREF=
"#java_proxy_classes">19.4.3 Java proxy classes
</A>
<LI><A HREF=
"#memory_management">19.4.3.1 Memory management
</A></LI>
<LI><A HREF=
"#inheritance_mirroring">19.4.3.2 Inheritance
</A></LI>
<LI><A HREF=
"#proxy_classes_gc">19.4.3.3 Proxy classes and garbage
<LI><A HREF=
"#type_wrapper_classes">19.4.4 Type wrapper classes
</A></LI>
<LI><A HREF=
"#enum_classes">19.4.5 Enum classes
</A>
<LI><A HREF=
"#typesafe_enums_classes">19.4.5.1 Typesafe enum classes
</A></LI>
<LI><A HREF=
"#proper_enums_classes">19.4.5.2 Proper Java enum classes
</A>
<LI><A HREF=
"#typeunsafe_enums_classes">19.4.5.3 Type unsafe enum
<LI><A HREF=
"#java_directors">19.5 Cross language polymorphism using
directors (experimental)
</A><LI><A HREF=
"#java_enabling_directors">19.5.1 Enabling directors
</A></LI>
<LI><A HREF=
"#java_directors_classes">19.5.2 Director classes
</A></LI>
<LI><A HREF=
"#java_directors_overhead">19.5.3 Overhead and code bloat
</A>
<LI><A HREF=
"#java_directors_example">19.5.4 Simple directors example
</A>
<LI><A HREF=
"#common_customization">19.6 Common customization features
</A>
<LI><A HREF=
"#helper_functions">19.6.1 C/C++ helper functions
</A></LI>
<LI><A HREF=
"#class_extension">19.6.2 Class extension with %extend
</A></LI>
<LI><A HREF=
"#exception_handling">19.6.3 Exception handling with
%exception and %javaexception
</A></LI><LI><A HREF=
"#method_access">19.6.4 Method access with
%javamethodmodifiers
</A></LI><LI><A HREF=
"#tips_techniques">19.7 Tips and techniques
</A>
<LI><A HREF=
"#input_output_parameters">19.7.1 Input and output
parameters using primitive pointers and references
</A></LI><LI><A HREF=
"#simple_pointers">19.7.2 Simple pointers
</A></LI>
<LI><A HREF=
"#c_arrays">19.7.3 Wrapping C arrays with Java arrays
</A></LI>
<LI><A HREF=
"#unbounded_c_arrays">19.7.4 Unbounded C Arrays
</A></LI>
<LI><A HREF=
"#java_typemaps">19.8 Java typemaps
</A>
<LI><A HREF=
"#default_primitive_type_mappings">19.8.1 Default primitive
<LI><A HREF=
"#jvm64">19.8.2 Sixty four bit JVMs
</A></LI>
<LI><A HREF=
"#what_is_typemap">19.8.3 What is a typemap?
</A></LI>
<LI><A HREF=
"#typemaps_c_to_java_types">19.8.4 Typemaps for mapping
C/C++ types to Java types
</A></LI><LI><A HREF=
"#typemap_attributes">19.8.5 Java typemap attributes
</A></LI>
<LI><A HREF=
"#special_variables">19.8.6 Java special variables
</A></LI>
<LI><A HREF=
"#typemaps_for_c_and_c++">19.8.7 Typemaps for both C and C++
<LI><A HREF=
"#java_code_typemaps">19.8.8 Java code typemaps
</A></LI>
<LI><A HREF=
"#java_directors_typemaps">19.8.9 Director specific typemaps
</A>
<LI><A HREF=
"#typemap_examples">19.9 Typemap Examples
</A>
<LI><A HREF=
"#simpler_enum_classes">19.9.1 Simpler Java enums for enums
without initializers
</A></LI><LI><A HREF=
"#exception_typemap">19.9.2 Handling C++ exception
specifications as Java exceptions
</A></LI><LI><A HREF=
"#nan_exception_typemap">19.9.3 NaN Exception - exception
handling for a particular type
</A></LI><LI><A HREF=
"#converting_java_string_arrays">19.9.4 Converting Java
String arrays to char **
</A></LI><LI><A HREF=
"#expanding_java_object">19.9.5 Expanding a Java object to
multiple arguments
</A></LI><LI><A HREF=
"#using_typemaps_return_arguments">19.9.6 Using typemaps to
return arguments
</A></LI><LI><A HREF=
"#adding_downcasts">19.9.7 Adding Java downcasts to
polymorphic return types
</A></LI><LI><A HREF=
"#adding_equals_method">19.9.8 Adding an equals method to
the Java classes
</A></LI><LI><A HREF=
"#void_pointers">19.9.9 Void pointers and a common Java base
<LI><A HREF=
"#struct_pointer_pointer">19.9.10 Struct pointer to pointer
</A>
<LI><A HREF=
"#java_directors_faq">19.10 Living with Java Directors
</A></LI>
<LI><A HREF=
"#odds_ends">19.11 Odds and ends
</A>
<LI><A HREF=
"#javadoc_comments">19.11.1 JavaDoc comments
</A></LI>
<LI><A HREF=
"#functional_interface">19.11.2 Functional interface without
<LI><A HREF=
"#using_own_jni_functions">19.11.3 Using your own JNI
<LI><A HREF=
"#performance">19.11.4 Performance concerns and hints
</A></LI>
<LI><A HREF=
"#java_examples">19.12 Examples
</A></LI>
<B><A HREF=
"#Modula3">20 SWIG and Modula-
3</A></B>
<LI><A HREF=
"#modula3_overview">20.1 Overview
</A>
<LI><A HREF=
"#whyscripting">20.1.1 Why not scripting ?
</A></LI>
<LI><A HREF=
"#whymodula3">20.1.2 Why Modula-
3 ?
</A></LI>
<LI><A HREF=
"#whycpp">20.1.3 Why C / C++ ?
</A></LI>
<LI><A HREF=
"#whyswig">20.1.4 Why SWIG ?
</A></LI>
<LI><A HREF=
"#conception">20.2 Conception
</A>
<LI><A HREF=
"#cinterface">20.2.1 Interfaces to C libraries
</A></LI>
<LI><A HREF=
"#cppinterface">20.2.2 Interfaces to C++ libraries
</A></LI>
<LI><A HREF=
"#preliminaries">20.3 Preliminaries
</A>
<LI><A HREF=
"#compilers">20.3.1 Compilers
</A></LI>
<LI><A HREF=
"#commandline">20.3.2 Additional Commandline Options
</A></LI>
<LI><A HREF=
"#modula3_typemaps">20.4 Modula-
3 typemaps
</A>
<LI><A HREF=
"#inoutparam">20.4.1 Inputs and outputs
</A></LI>
<LI><A HREF=
"#ordinals">20.4.2 Subranges, Enumerations, Sets
</A></LI>
<LI><A HREF=
"#class">20.4.3 Objects
</A></LI>
<LI><A HREF=
"#imports">20.4.4 Imports
</A></LI>
<LI><A HREF=
"#exceptions">20.4.5 Exceptions
</A></LI>
<LI><A HREF=
"#typemap_example">20.4.6 Example
</A></LI>
<LI><A HREF=
"#hints">20.5 More hints to the generator
</A>
<LI><A HREF=
"#features">20.5.1 Features
</A></LI>
<LI><A HREF=
"#pragmas">20.5.2 Pragmas
</A></LI>
<LI><A HREF=
"#remarks">20.6 Remarks
</A></LI>
<B><A HREF=
"#MzScheme">21 SWIG and MzScheme
</A></B>
<LI><A HREF=
"#MzScheme_nn2">21.1 Creating native MzScheme structures
</A></LI>
<B><A HREF=
"#Ocaml">22 SWIG and Ocaml
</A></B>
<LI><A HREF=
"#Ocaml_nn2">22.1 Preliminaries
</A>
<LI><A HREF=
"#Ocaml_nn3">22.1.1 Running SWIG
</A></LI>
<LI><A HREF=
"#Ocaml_nn4">22.1.2 Compiling the code
</A></LI>
<LI><A HREF=
"#Ocaml_nn5">22.1.3 The camlp4 module
</A></LI>
<LI><A HREF=
"#Ocaml_nn6">22.1.4 Using your module
</A></LI>
<LI><A HREF=
"#Ocaml_nn7">22.1.5 Compilation problems and compiling with
<LI><A HREF=
"#Ocaml_nn8">22.2 The low-level Ocaml/C interface
</A>
<LI><A HREF=
"#Ocaml_nn9">22.2.1 The generated module
</A></LI>
<LI><A HREF=
"#Ocaml_nn10">22.2.2 Enums
</A>
<LI><A HREF=
"#Ocaml_nn11">22.2.2.1 Enum typing in Ocaml
</A></LI>
<LI><A HREF=
"#Ocaml_nn12">22.2.3 Arrays
</A>
<LI><A HREF=
"#Ocaml_nn13">22.2.3.1 Simple types of bounded arrays
</A></LI>
<LI><A HREF=
"#Ocaml_nn14">22.2.3.2 Complex and unbounded arrays
</A></LI>
<LI><A HREF=
"#Ocaml_nn15">22.2.3.3 Using an object
</A></LI>
<LI><A HREF=
"#Ocaml_nn16">22.2.3.4 Example typemap for a function taking
<LI><A HREF=
"#Ocaml_nn17">22.2.4 C++ Classes
</A>
<LI><A HREF=
"#Ocaml_nn18">22.2.4.1 STL vector and string Example
</A></LI>
<LI><A HREF=
"#Ocaml_nn19">22.2.4.2 C++ Class Example
</A></LI>
<LI><A HREF=
"#Ocaml_nn20">22.2.4.3 Compiling the example
</A></LI>
<LI><A HREF=
"#Ocaml_nn21">22.2.4.4 Sample Session
</A></LI>
<LI><A HREF=
"#Ocaml_nn22">22.2.5 Director Classes
</A>
<LI><A HREF=
"#Ocaml_nn23">22.2.5.1 Director Introduction
</A></LI>
<LI><A HREF=
"#Ocaml_nn24">22.2.5.2 Overriding Methods in Ocaml
</A></LI>
<LI><A HREF=
"#Ocaml_nn25">22.2.5.3 Director Usage Example
</A></LI>
<LI><A HREF=
"#Ocaml_nn26">22.2.5.4 Creating director objects
</A></LI>
<LI><A HREF=
"#Ocaml_nn27">22.2.5.5 Typemaps for directors, directorin,
directorout, directorargout
</A></LI><LI><A HREF=
"#Ocaml_nn28">22.2.5.6 directorin typemap
</A></LI>
<LI><A HREF=
"#Ocaml_nn29">22.2.5.7 directorout typemap
</A></LI>
<LI><A HREF=
"#Ocaml_nn30">22.2.5.8 directorargout typemap
</A></LI>
<LI><A HREF=
"#Ocaml_nn31">22.2.6 Exceptions
</A></LI>
<B><A HREF=
"#Perl5">23 SWIG and Perl5
</A></B>
<LI><A HREF=
"#Perl5_nn2">23.1 Overview
</A></LI>
<LI><A HREF=
"#Perl5_nn3">23.2 Preliminaries
</A>
<LI><A HREF=
"#Perl5_nn4">23.2.1 Getting the right header files
</A></LI>
<LI><A HREF=
"#Perl5_nn5">23.2.2 Compiling a dynamic module
</A></LI>
<LI><A HREF=
"#Perl5_nn6">23.2.3 Building a dynamic module with MakeMaker
</A>
<LI><A HREF=
"#Perl5_nn7">23.2.4 Building a static version of Perl
</A></LI>
<LI><A HREF=
"#Perl5_nn8">23.2.5 Using the module
</A></LI>
<LI><A HREF=
"#Perl5_nn9">23.2.6 Compilation problems and compiling with
<LI><A HREF=
"#Perl5_nn10">23.2.7 Compiling for
64-bit platforms
</A></LI>
<LI><A HREF=
"#Perl5_nn11">23.3 Building Perl Extensions under Windows
</A>
<LI><A HREF=
"#Perl5_nn12">23.3.1 Running SWIG from Developer Studio
</A></LI>
<LI><A HREF=
"#Perl5_nn13">23.3.2 Using other compilers
</A></LI>
<LI><A HREF=
"#Perl5_nn14">23.4 The low-level interface
</A>
<LI><A HREF=
"#Perl5_nn15">23.4.1 Functions
</A></LI>
<LI><A HREF=
"#Perl5_nn16">23.4.2 Global variables
</A></LI>
<LI><A HREF=
"#Perl5_nn17">23.4.3 Constants
</A></LI>
<LI><A HREF=
"#Perl5_nn18">23.4.4 Pointers
</A></LI>
<LI><A HREF=
"#Perl5_nn19">23.4.5 Structures
</A></LI>
<LI><A HREF=
"#Perl5_nn20">23.4.6 C++ classes
</A></LI>
<LI><A HREF=
"#Perl5_nn21">23.4.7 C++ classes and type-checking
</A></LI>
<LI><A HREF=
"#Perl5_nn22">23.4.8 C++ overloaded functions
</A></LI>
<LI><A HREF=
"#Perl5_nn23">23.4.9 Operators
</A></LI>
<LI><A HREF=
"#Perl5_nn24">23.4.10 Modules and packages
</A></LI>
<LI><A HREF=
"#Perl5_nn25">23.5 Input and output parameters
</A></LI>
<LI><A HREF=
"#Perl5_nn26">23.6 Exception handling
</A></LI>
<LI><A HREF=
"#Perl5_nn27">23.7 Remapping datatypes with typemaps
</A>
<LI><A HREF=
"#Perl5_nn28">23.7.1 A simple typemap example
</A></LI>
<LI><A HREF=
"#Perl5_nn29">23.7.2 Perl5 typemaps
</A></LI>
<LI><A HREF=
"#Perl5_nn30">23.7.3 Typemap variables
</A></LI>
<LI><A HREF=
"#Perl5_nn31">23.7.4 Useful functions
</A></LI>
<LI><A HREF=
"#Perl5_nn32">23.8 Typemap Examples
</A>
<LI><A HREF=
"#Perl5_nn33">23.8.1 Converting a Perl5 array to a char **
</A>
<LI><A HREF=
"#Perl5_nn34">23.8.2 Return values
</A></LI>
<LI><A HREF=
"#Perl5_nn35">23.8.3 Returning values from arguments
</A></LI>
<LI><A HREF=
"#Perl5_nn36">23.8.4 Accessing array structure members
</A></LI>
<LI><A HREF=
"#Perl5_nn37">23.8.5 Turning Perl references into C pointers
</A>
<LI><A HREF=
"#Perl5_nn38">23.8.6 Pointer handling
</A></LI>
<LI><A HREF=
"#Perl5_nn39">23.9 Proxy classes
</A>
<LI><A HREF=
"#Perl5_nn40">23.9.1 Preliminaries
</A></LI>
<LI><A HREF=
"#Perl5_nn41">23.9.2 Structure and class wrappers
</A></LI>
<LI><A HREF=
"#Perl5_nn42">23.9.3 Object Ownership
</A></LI>
<LI><A HREF=
"#Perl5_nn43">23.9.4 Nested Objects
</A></LI>
<LI><A HREF=
"#Perl5_nn44">23.9.5 Proxy Functions
</A></LI>
<LI><A HREF=
"#Perl5_nn45">23.9.6 Inheritance
</A></LI>
<LI><A HREF=
"#Perl5_nn46">23.9.7 Modifying the proxy methods
</A></LI>
<B><A HREF=
"#Php">24 SWIG and PHP4
</A></B>
<LI><A HREF=
"#Php_nn1">24.1 Generating PHP4 Extensions
</A>
<LI><A HREF=
"#Php_nn1_1">24.1.1 Building a loadable extension
</A></LI>
<LI><A HREF=
"#Php_nn1_2">24.1.2 Building extensions into PHP
</A></LI>
<LI><A HREF=
"#Php_nn1_3">24.1.3 Using PHP4 Extensions
</A></LI>
<LI><A HREF=
"#Php_nn2">24.2 Basic PHP4 interface
</A>
<LI><A HREF=
"#Php_nn2_1">24.2.1 Constants
</A></LI>
<LI><A HREF=
"#Php_nn2_2">24.2.2 Global Variables
</A></LI>
<LI><A HREF=
"#Php_nn2_3">24.2.3 Functions
</A></LI>
<LI><A HREF=
"#Php_nn2_4">24.2.4 Overloading
</A></LI>
<LI><A HREF=
"#Php_nn2_5">24.2.5 Pointers and References
</A></LI>
<LI><A HREF=
"#Php_nn2_6">24.2.6 Structures and C++ classes
</A>
<LI><A HREF=
"#Php_nn2_6_1">24.2.6.1 Using -noproxy
</A></LI>
<LI><A HREF=
"#Php_nn2_6_2">24.2.6.2 Constructors and Destructors
</A></LI>
<LI><A HREF=
"#Php_nn2_6_3">24.2.6.3 Static Member Variables
</A></LI>
<LI><A HREF=
"#Php_nn2_6_4">24.2.6.4 Static Member Functions
</A></LI>
<LI><A HREF=
"#Php_nn2_7">24.2.7 PHP4 Pragmas, Startup and Shutdown code
</A>
<B><A HREF=
"#Pike">25 SWIG and Pike
</A></B>
<LI><A HREF=
"#Pike_nn2">25.1 Preliminaries
</A>
<LI><A HREF=
"#Pike_nn3">25.1.1 Running SWIG
</A></LI>
<LI><A HREF=
"#Pike_nn4">25.1.2 Getting the right header files
</A></LI>
<LI><A HREF=
"#Pike_nn5">25.1.3 Using your module
</A></LI>
<LI><A HREF=
"#Pike_nn6">25.2 Basic C/C++ Mapping
</A>
<LI><A HREF=
"#Pike_nn7">25.2.1 Modules
</A></LI>
<LI><A HREF=
"#Pike_nn8">25.2.2 Functions
</A></LI>
<LI><A HREF=
"#Pike_nn9">25.2.3 Global variables
</A></LI>
<LI><A HREF=
"#Pike_nn10">25.2.4 Constants and enumerated types
</A></LI>
<LI><A HREF=
"#Pike_nn11">25.2.5 Constructors and Destructors
</A></LI>
<LI><A HREF=
"#Pike_nn12">25.2.6 Static Members
</A></LI>
<B><A HREF=
"#Python">26 SWIG and Python
</A></B>
<LI><A HREF=
"#Python_nn2">26.1 Overview
</A></LI>
<LI><A HREF=
"#Python_nn3">26.2 Preliminaries
</A>
<LI><A HREF=
"#Python_nn4">26.2.1 Running SWIG
</A></LI>
<LI><A HREF=
"#Python_nn5">26.2.2 Getting the right header files
</A></LI>
<LI><A HREF=
"#Python_nn6">26.2.3 Compiling a dynamic module
</A></LI>
<LI><A HREF=
"#Python_nn7">26.2.4 Using distutils
</A></LI>
<LI><A HREF=
"#Python_nn8">26.2.5 Static linking
</A></LI>
<LI><A HREF=
"#Python_nn9">26.2.6 Using your module
</A></LI>
<LI><A HREF=
"#Python_nn10">26.2.7 Compilation of C++ extensions
</A></LI>
<LI><A HREF=
"#Python_nn11">26.2.8 Compiling for
64-bit platforms
</A></LI>
<LI><A HREF=
"#Python_nn12">26.2.9 Building Python Extensions under
<LI><A HREF=
"#Python_nn13">26.3 A tour of basic C/C++ wrapping
</A>
<LI><A HREF=
"#Python_nn14">26.3.1 Modules
</A></LI>
<LI><A HREF=
"#Python_nn15">26.3.2 Functions
</A></LI>
<LI><A HREF=
"#Python_nn16">26.3.3 Global variables
</A></LI>
<LI><A HREF=
"#Python_nn17">26.3.4 Constants and enums
</A></LI>
<LI><A HREF=
"#Python_nn18">26.3.5 Pointers
</A></LI>
<LI><A HREF=
"#Python_nn19">26.3.6 Structures
</A></LI>
<LI><A HREF=
"#Python_nn20">26.3.7 C++ classes
</A></LI>
<LI><A HREF=
"#Python_nn21">26.3.8 C++ inheritance
</A></LI>
<LI><A HREF=
"#Python_nn22">26.3.9 Pointers, references, values, and
<LI><A HREF=
"#Python_nn23">26.3.10 C++ overloaded functions
</A></LI>
<LI><A HREF=
"#Python_nn24">26.3.11 C++ operators
</A></LI>
<LI><A HREF=
"#Python_nn25">26.3.12 C++ namespaces
</A></LI>
<LI><A HREF=
"#Python_nn26">26.3.13 C++ templates
</A></LI>
<LI><A HREF=
"#Python_nn27">26.3.14 C++ Smart Pointers
</A></LI>
<LI><A HREF=
"#Python_nn27a">26.3.15 C++ Reference Counted Objects
<LI><A HREF=
"#Python_nn28">26.4 Further details on the Python class
<LI><A HREF=
"#Python_nn29">26.4.1 Proxy classes
</A></LI>
<LI><A HREF=
"#Python_nn30">26.4.2 Memory management
</A></LI>
<LI><A HREF=
"#Python_nn31">26.4.3 Python
2.2 and classic classes
</A></LI>
<LI><A HREF=
"#directors">26.5 Cross language polymorphism
</A>
<LI><A HREF=
"#Python_nn33">26.5.1 Enabling directors
</A></LI>
<LI><A HREF=
"#Python_nn34">26.5.2 Director classes
</A></LI>
<LI><A HREF=
"#Python_nn35">26.5.3 Ownership and object destruction
</A></LI>
<LI><A HREF=
"#Python_nn36">26.5.4 Exception unrolling
</A></LI>
<LI><A HREF=
"#Python_nn37">26.5.5 Overhead and code bloat
</A></LI>
<LI><A HREF=
"#Python_nn38">26.5.6 Typemaps
</A></LI>
<LI><A HREF=
"#Python_nn39">26.5.7 Miscellaneous
</A></LI>
<LI><A HREF=
"#Python_nn40">26.6 Common customization features
</A>
<LI><A HREF=
"#Python_nn41">26.6.1 C/C++ helper functions
</A></LI>
<LI><A HREF=
"#Python_nn42">26.6.2 Adding additional Python code
</A></LI>
<LI><A HREF=
"#Python_nn43">26.6.3 Class extension with %extend
</A></LI>
<LI><A HREF=
"#Python_nn44">26.6.4 Exception handling with %exception
</A></LI>
<LI><A HREF=
"#Python_nn45">26.7 Tips and techniques
</A>
<LI><A HREF=
"#Python_nn46">26.7.1 Input and output parameters
</A></LI>
<LI><A HREF=
"#Python_nn47">26.7.2 Simple pointers
</A></LI>
<LI><A HREF=
"#Python_nn48">26.7.3 Unbounded C Arrays
</A></LI>
<LI><A HREF=
"#Python_nn49">26.7.4 String handling
</A></LI>
<LI><A HREF=
"#Python_nn50">26.7.5 Arrays
</A></LI>
<LI><A HREF=
"#Python_nn51">26.7.6 String arrays
</A></LI>
<LI><A HREF=
"#Python_nn52">26.7.7 STL wrappers
</A></LI>
<LI><A HREF=
"#Python_nn53">26.8 Typemaps
</A>
<LI><A HREF=
"#Python_nn54">26.8.1 What is a typemap?
</A></LI>
<LI><A HREF=
"#Python_nn55">26.8.2 Python typemaps
</A></LI>
<LI><A HREF=
"#Python_nn56">26.8.3 Typemap variables
</A></LI>
<LI><A HREF=
"#Python_nn57">26.8.4 Useful Python Functions
</A></LI>
<LI><A HREF=
"#Python_nn58">26.9 Typemap Examples
</A>
<LI><A HREF=
"#Python_nn59">26.9.1 Converting Python list to a char **
</A>
<LI><A HREF=
"#Python_nn60">26.9.2 Expanding a Python object into
multiple arguments
</A></LI><LI><A HREF=
"#Python_nn61">26.9.3 Using typemaps to return arguments
</A></LI>
<LI><A HREF=
"#Python_nn62">26.9.4 Mapping Python tuples into small
<LI><A HREF=
"#Python_nn63">26.9.5 Mapping sequences to C arrays
</A></LI>
<LI><A HREF=
"#Python_nn64">26.9.6 Pointer handling
</A></LI>
<LI><A HREF=
"#Python_nn65">26.10 Docstring Features
</A>
<LI><A HREF=
"#Python_nn66">26.10.1 Module docstring
</A></LI>
<LI><A HREF=
"#Python_nn67">26.10.2 %feature(
"autodoc
")
</A>
<LI><A HREF=
"#Python_nn68">26.10.2.1 %feature(
"autodoc
",
"0")
</A></LI>
<LI><A HREF=
"#Python_nn69">26.10.2.2 %feature(
"autodoc
",
"1")
</A></LI>
<LI><A HREF=
"#Python_nn70">26.10.2.3 %feature(
"autodoc
",
"docstring
")
</A>
<LI><A HREF=
"#Python_nn71">26.10.3 %feature(
"docstring
")
</A></LI>
<LI><A HREF=
"#Python_nn72">26.11 Python Packages
</A></LI>
<B><A HREF=
"#Ruby">27 SWIG and Ruby
</A></B>
<LI><A HREF=
"#Ruby_nn2">27.1 Preliminaries
</A>
<LI><A HREF=
"#Ruby_nn3">27.1.1 Running SWIG
</A></LI>
<LI><A HREF=
"#Ruby_nn4">27.1.2 Getting the right header files
</A></LI>
<LI><A HREF=
"#Ruby_nn5">27.1.3 Compiling a dynamic module
</A></LI>
<LI><A HREF=
"#Ruby_nn6">27.1.4 Using your module
</A></LI>
<LI><A HREF=
"#Ruby_nn7">27.1.5 Static linking
</A></LI>
<LI><A HREF=
"#Ruby_nn8">27.1.6 Compilation of C++ extensions
</A></LI>
<LI><A HREF=
"#Ruby_nn9">27.2 Building Ruby Extensions under Windows
<LI><A HREF=
"#Ruby_nn10">27.2.1 Running SWIG from Developer Studio
</A></LI>
<LI><A HREF=
"#Ruby_nn11">27.3 The Ruby-to-C/C++ Mapping
</A>
<LI><A HREF=
"#Ruby_nn12">27.3.1 Modules
</A></LI>
<LI><A HREF=
"#Ruby_nn13">27.3.2 Functions
</A></LI>
<LI><A HREF=
"#Ruby_nn14">27.3.3 Variable Linking
</A></LI>
<LI><A HREF=
"#Ruby_nn15">27.3.4 Constants
</A></LI>
<LI><A HREF=
"#Ruby_nn16">27.3.5 Pointers
</A></LI>
<LI><A HREF=
"#Ruby_nn17">27.3.6 Structures
</A></LI>
<LI><A HREF=
"#Ruby_nn18">27.3.7 C++ classes
</A></LI>
<LI><A HREF=
"#Ruby_nn19">27.3.8 C++ Inheritance
</A></LI>
<LI><A HREF=
"#Ruby_nn20">27.3.9 C++ Overloaded Functions
</A></LI>
<LI><A HREF=
"#Ruby_nn21">27.3.10 C++ Operators
</A></LI>
<LI><A HREF=
"#Ruby_nn22">27.3.11 C++ namespaces
</A></LI>
<LI><A HREF=
"#Ruby_nn23">27.3.12 C++ templates
</A></LI>
<LI><A HREF=
"#ruby_cpp_smart_pointers">27.3.13 C++ Smart Pointers
</A></LI>
<LI><A HREF=
"#Ruby_nn25">27.3.14 Cross-Language Polymorphism
</A>
<LI><A HREF=
"#Ruby_nn26">27.3.14.1 Exception Unrolling
</A></LI>
<LI><A HREF=
"#Ruby_nn27">27.4 Input and output parameters
</A></LI>
<LI><A HREF=
"#Ruby_nn28">27.5 Simple exception handling
</A></LI>
<LI><A HREF=
"#Ruby_nn29">27.5 Typemaps
</A>
<LI><A HREF=
"#Ruby_nn30">27.5.1 What is a typemap?
</A></LI>
<LI><A HREF=
"#Ruby_nn31">27.5.2 Ruby typemaps
</A></LI>
<LI><A HREF=
"#Ruby_nn32">27.5.3 Typemap variables
</A></LI>
<LI><A HREF=
"#Ruby_nn33">27.5.4 Useful Functions
</A>
<LI><A HREF=
"#Ruby_nn34">27.5.4.1 C Datatypes to Ruby Objects
</A></LI>
<LI><A HREF=
"#Ruby_nn35">27.5.4.2 Ruby Objects to C Datatypes
</A></LI>
<LI><A HREF=
"#Ruby_nn36">27.5.4.3 Macros for VALUE
</A></LI>
<LI><A HREF=
"#Ruby_nn37">27.5.4.4 Exceptions
</A></LI>
<LI><A HREF=
"#Ruby_nn38">27.5.4.5 Iterators
</A></LI>
<LI><A HREF=
"#ruby_typemap_examples">27.5.5 Typemap Examples
</A></LI>
<LI><A HREF=
"#Ruby_nn40">27.5.6 Converting a Ruby array to a char **
</A></LI>
<LI><A HREF=
"#Ruby_nn41">27.5.7 Collecting arguments in a hash
</A></LI>
<LI><A HREF=
"#Ruby_nn42">27.5.8 Pointer handling
</A>
<LI><A HREF=
"#Ruby_nn43">27.5.8.1 Ruby Datatype Wrapping
</A></LI>
<LI><A HREF=
"#ruby_operator_overloading">27.6 Operator overloading
</A>
<LI><A HREF=
"#Ruby_nn45">27.6.1 Example: STL Vector to Ruby Array
</A></LI>
<LI><A HREF=
"#Ruby_nn46">27.7 Advanced Topics
</A>
<LI><A HREF=
"#Ruby_nn47">27.7.1 Creating Multi-Module Packages
</A></LI>
<LI><A HREF=
"#Ruby_nn48">27.7.2 Defining Aliases
</A></LI>
<LI><A HREF=
"#Ruby_nn49">27.7.3 Predicate Methods
</A></LI>
<LI><A HREF=
"#Ruby_nn50">27.7.4 Specifying Mixin Modules
</A></LI>
<LI><A HREF=
"#Ruby_nn51">27.8 Memory Management
</A>
<LI><A HREF=
"#Ruby_nn52">27.9.1 Mark and Sweep Garbage Collector
</A></LI>
<LI><A HREF=
"#Ruby_nn53">27.8.1 Object Ownership
</A></LI>
<LI><A HREF=
"#Ruby_nn54">27.8.2 Object Tracking
</A></LI>
<LI><A HREF=
"#Ruby_nn55">27.8.3 Mark Functions
</A></LI>
<LI><A HREF=
"#Ruby_nn56">27.8.4 Free Functions
</A></LI>
<B><A HREF=
"#Tcl">28 SWIG and Tcl
</A></B>
<LI><A HREF=
"#Tcl_nn2">28.1 Preliminaries
</A>
<LI><A HREF=
"#Tcl_nn3">28.1.1 Getting the right header files
</A></LI>
<LI><A HREF=
"#Tcl_nn4">28.1.2 Compiling a dynamic module
</A></LI>
<LI><A HREF=
"#Tcl_nn5">28.1.3 Static linking
</A></LI>
<LI><A HREF=
"#Tcl_nn6">28.1.4 Using your module
</A></LI>
<LI><A HREF=
"#Tcl_nn7">28.1.5 Compilation of C++ extensions
</A></LI>
<LI><A HREF=
"#Tcl_nn8">28.1.6 Compiling for
64-bit platforms
</A></LI>
<LI><A HREF=
"#Tcl_nn9">28.1.7 Setting a package prefix
</A></LI>
<LI><A HREF=
"#Tcl_nn10">28.1.8 Using namespaces
</A></LI>
<LI><A HREF=
"#Tcl_nn11">28.2 Building Tcl/Tk Extensions under Windows
<LI><A HREF=
"#Tcl_nn12">28.2.1 Running SWIG from Developer Studio
</A></LI>
<LI><A HREF=
"#Tcl_nn13">28.2.2 Using NMAKE
</A></LI>
<LI><A HREF=
"#Tcl_nn14">28.3 A tour of basic C/C++ wrapping
</A>
<LI><A HREF=
"#Tcl_nn15">28.3.1 Modules
</A></LI>
<LI><A HREF=
"#Tcl_nn16">28.3.2 Functions
</A></LI>
<LI><A HREF=
"#Tcl_nn17">28.3.3 Global variables
</A></LI>
<LI><A HREF=
"#Tcl_nn18">28.3.4 Constants and enums
</A></LI>
<LI><A HREF=
"#Tcl_nn19">28.3.5 Pointers
</A></LI>
<LI><A HREF=
"#Tcl_nn20">28.3.6 Structures
</A></LI>
<LI><A HREF=
"#Tcl_nn21">28.3.7 C++ classes
</A></LI>
<LI><A HREF=
"#Tcl_nn22">28.3.8 C++ inheritance
</A></LI>
<LI><A HREF=
"#Tcl_nn23">28.3.9 Pointers, references, values, and arrays
</A>
<LI><A HREF=
"#Tcl_nn24">28.3.10 C++ overloaded functions
</A></LI>
<LI><A HREF=
"#Tcl_nn25">28.3.11 C++ operators
</A></LI>
<LI><A HREF=
"#Tcl_nn26">28.3.12 C++ namespaces
</A></LI>
<LI><A HREF=
"#Tcl_nn27">28.3.13 C++ templates
</A></LI>
<LI><A HREF=
"#Tcl_nn28">28.3.14 C++ Smart Pointers
</A></LI>
<LI><A HREF=
"#Tcl_nn29">28.4 Further details on the Tcl class interface
</A>
<LI><A HREF=
"#Tcl_nn30">28.4.1 Proxy classes
</A></LI>
<LI><A HREF=
"#Tcl_nn31">28.4.2 Memory management
</A></LI>
<LI><A HREF=
"#Tcl_nn32">28.5 Input and output parameters
</A></LI>
<LI><A HREF=
"#Tcl_nn33">28.6 Exception handling
</A></LI>
<LI><A HREF=
"#Tcl_nn34">28.7 Typemaps
</A>
<LI><A HREF=
"#Tcl_nn35">28.7.1 What is a typemap?
</A></LI>
<LI><A HREF=
"#Tcl_nn36">28.7.2 Tcl typemaps
</A></LI>
<LI><A HREF=
"#Tcl_nn37">28.7.3 Typemap variables
</A></LI>
<LI><A HREF=
"#Tcl_nn38">28.7.4 Converting a Tcl list to a char **
</A></LI>
<LI><A HREF=
"#Tcl_nn39">28.7.5 Returning values in arguments
</A></LI>
<LI><A HREF=
"#Tcl_nn40">28.7.6 Useful functions
</A></LI>
<LI><A HREF=
"#Tcl_nn41">28.7.7 Standard typemaps
</A></LI>
<LI><A HREF=
"#Tcl_nn42">28.7.8 Pointer handling
</A></LI>
<LI><A HREF=
"#Tcl_nn43">28.8 Turning a SWIG module into a Tcl Package.
</A>
<LI><A HREF=
"#Tcl_nn44">28.9 Building new kinds of Tcl interfaces (in
<LI><A HREF=
"#Tcl_nn45">28.9.1 Proxy classes
</A></LI>
<B><A HREF=
"#Lua_nn1">29 SWIG and Lua
</A></B>
<LI><A HREF=
"#Lua_nn2">29.1 Preliminaries
</A></LI>
<LI><A HREF=
"#Lua_nn3">29.2 Running SWIG
</A>
<LI><A HREF=
"#Lua_nn4">29.2.1 Compiling and Linking and Interpreter
</A></LI>
<LI><A HREF=
"#Lua_nn5">29.2.2 Compiling a dynamic module
</A></LI>
<LI><A HREF=
"#Lua_nn6">29.2.3 Using your module
</A></LI>
<LI><A HREF=
"#Lua_nn7">29.3 A tour of basic C/C++ wrapping
</A>
<LI><A HREF=
"#Lua_nn8">29.3.1 Modules
</A></LI>
<LI><A HREF=
"#Lua_nn9">29.3.2 Functions
</A></LI>
<LI><A HREF=
"#Lua_nn10">29.3.3 Global variables
</A></LI>
<LI><A HREF=
"#Lua_nn11">29.3.4 Constants and enums
</A></LI>
<LI><A HREF=
"#Lua_nn12">29.3.5 Pointers
</A></LI>
<LI><A HREF=
"#Lua_nn13">29.3.6 Structures
</A></LI>
<LI><A HREF=
"#Lua_nn14">29.3.7 C++ classes
</A></LI>
<LI><A HREF=
"#Lua_nn15">29.3.8 C++ inheritance
</A></LI>
<LI><A HREF=
"#Lua_nn16">29.3.9 Pointers, references, values, and arrays
</A>
<LI><A HREF=
"#Lua_nn17">29.3.10 C++ overloaded functions
</A></LI>
<LI><A HREF=
"#Lua_nn18">29.3.11 C++ operators
</A></LI>
<LI><A HREF=
"#Lua_nn19">29.3.12 Class extension with %extend
</A></LI>
<LI><A HREF=
"#Lua_nn20">29.3.13 C++ templates
</A></LI>
<LI><A HREF=
"#Lua_nn21">29.3.14 C++ Smart Pointers
</A></LI>
<LI><A HREF=
"#Lua_nn22">29.4 Details on the Lua binding
</A>
<LI><A HREF=
"#Lua_nn23">29.4.1 Binding global data into the module.
</A></LI>
<LI><A HREF=
"#Lua_nn24">29.4.2 Userdata and Metatables
</A></LI>
<LI><A HREF=
"#Lua_nn25">29.4.3 Memory management
</A></LI>
<B><A HREF=
"#Extending">30 Extending SWIG
</A></B>
<LI><A HREF=
"#Extending_nn2">30.1 Introduction
</A></LI>
<LI><A HREF=
"#Extending_nn3">30.2 Prerequisites
</A></LI>
<LI><A HREF=
"#Extending_nn4">30.3 The Big Picture
</A></LI>
<LI><A HREF=
"#Extending_nn5">30.4 Execution Model
</A>
<LI><A HREF=
"#Extending_nn6">30.4.1 Preprocessing
</A></LI>
<LI><A HREF=
"#Extending_nn7">30.4.2 Parsing
</A></LI>
<LI><A HREF=
"#Extending_nn8">30.4.3 Parse Trees
</A></LI>
<LI><A HREF=
"#Extending_nn9">30.4.4 Attribute namespaces
</A></LI>
<LI><A HREF=
"#Extending_nn10">30.4.5 Symbol Tables
</A></LI>
<LI><A HREF=
"#Extending_nn11">30.4.6 The %feature directive
</A></LI>
<LI><A HREF=
"#Extending_nn12">30.4.7 Code Generation
</A></LI>
<LI><A HREF=
"#Extending_nn13">30.4.8 SWIG and XML
</A></LI>
<LI><A HREF=
"#Extending_nn14">30.5 Primitive Data Structures
</A>
<LI><A HREF=
"#Extending_nn15">30.5.1 Strings
</A></LI>
<LI><A HREF=
"#Extending_nn16">30.5.2 Hashes
</A></LI>
<LI><A HREF=
"#Extending_nn17">30.5.3 Lists
</A></LI>
<LI><A HREF=
"#Extending_nn18">30.5.4 Common operations
</A></LI>
<LI><A HREF=
"#Extending_nn19">30.5.5 Iterating over Lists and Hashes
</A></LI>
<LI><A HREF=
"#Extending_nn20">30.5.6 I/O
</A></LI>
<LI><A HREF=
"#Extending_nn21">30.6 Navigating and manipulating parse
<LI><A HREF=
"#Extending_nn22">30.7 Working with attributes
</A></LI>
<LI><A HREF=
"#Extending_nn23">30.8 Type system
</A>
<LI><A HREF=
"#Extending_nn24">30.8.1 String encoding of types
</A></LI>
<LI><A HREF=
"#Extending_nn25">30.8.2 Type construction
</A></LI>
<LI><A HREF=
"#Extending_nn26">30.8.3 Type tests
</A></LI>
<LI><A HREF=
"#Extending_nn27">30.8.4 Typedef and inheritance
</A></LI>
<LI><A HREF=
"#Extending_nn28">30.8.5 Lvalues
</A></LI>
<LI><A HREF=
"#Extending_nn29">30.8.6 Output functions
</A></LI>
<LI><A HREF=
"#Extending_nn30">30.9 Parameters
</A></LI>
<LI><A HREF=
"#Extending_nn31">30.10 Writing a Language Module
</A>
<LI><A HREF=
"#Extending_nn32">30.10.1 Execution model
</A></LI>
<LI><A HREF=
"#Extending_nn33">30.10.2 Starting out
</A></LI>
<LI><A HREF=
"#Extending_nn34">30.10.3 Command line options
</A></LI>
<LI><A HREF=
"#Extending_nn35">30.10.4 Configuration and preprocessing
</A>
<LI><A HREF=
"#Extending_nn36">30.10.5 Entry point to code generation
</A></LI>
<LI><A HREF=
"#Extending_nn37">30.10.6 Module I/O and wrapper skeleton
</A>
<LI><A HREF=
"#Extending_nn38">30.10.7 Low-level code generators
</A></LI>
<LI><A HREF=
"#Extending_nn39">30.10.8 Configuration files
</A></LI>
<LI><A HREF=
"#Extending_nn40">30.10.9 Runtime support
</A></LI>
<LI><A HREF=
"#Extending_nn41">30.10.10 Standard library files
</A></LI>
<LI><A HREF=
"#Extending_nn42">30.10.11 Examples and test cases
</A></LI>
<LI><A HREF=
"#Extending_nn43">30.10.12 Documentation
</A></LI>
<LI><A HREF=
"#Extending_nn44">30.11 Typemaps
</A>
<LI><A HREF=
"#Extending_nn45">30.11.1 Proxy classes
</A></LI>
<LI><A HREF=
"#Extending_nn46">30.12 Guide to parse tree nodes
</A></LI>
<H1><A name=
"Sections"></A>SWIG-
1.3 Development Documentation
</H1>
Last update : SWIG-
1.3.26 (October
9,
2005)
<H2><A NAME=
"1_1">Sections
</A></H2>
<P> The SWIG documentation is being updated to reflect new SWIG features
and enhancements. However, this update process is not quite
finished--there is a lot of old SWIG-
1.1 documentation and it is taking
some time to update all of it. Please pardon our dust (or volunteer to
<H3><A NAME=
"1_1_1">SWIG Core Documentation
</A></H3>
<LI><A href=
"#Preface">Preface
</A></LI>
<LI><A href=
"#Introduction">Introduction
</A></LI>
<LI><A href=
"#Windows">Getting started on Windows
</A></LI>
<LI><A href=
"#Scripting">Scripting
</A></LI>
<LI><A href=
"#SWIG">SWIG Basics
</A> (Read this!)
</LI>
<LI><A href=
"#SWIGPlus">SWIG and C++
</A></LI>
<LI><A href=
"#Preprocessor">The SWIG preprocessor
</A></LI>
<LI><A href=
"#Library">The SWIG Library
</A></LI>
<LI><A href=
"#Arguments">Argument handling
</A></LI>
<LI><A href=
"#Typemaps">Typemaps
</A></LI>
<LI><A href=
"#Customization">Customization features
</A></LI>
<LI><A href=
"#Contract">Contracts
</A></LI>
<LI><A href=
"#Varargs">Variable length arguments
</A></LI>
<LI><A href=
"#Warnings">Warning messages
</A></LI>
<LI><A href=
"#Modules">Working with Modules
</A></LI>
<H3><A NAME=
"1_1_2">Language Module Documentation
</A></H3>
<LI><A href=
"Lisp.html#Lisp_nn1">Common Lisp support
</A></LI>
<LI><A href=
"#CSharp">C# support
</A></LI>
<LI><A href=
"#Chicken">Chicken support
</A></LI>
<LI><A href=
"#Guile">Guile support
</A></LI>
<LI><A href=
"#Java">Java support
</A></LI>
<LI><A href=
"#Lua_nn1">Lua support
</A></LI>
<LI><A href=
"#Modula3">Modula3 support
</A></LI>
<LI><A href=
"#MzScheme">MzScheme support
</A></LI>
<LI><A href=
"#Ocaml">Ocaml support
</A></LI>
<LI><A href=
"#Perl5">Perl5 support
</A></LI>
<LI><A href=
"#Php">PHP support
</A></LI>
<LI><A href=
"#Pike">Pike support
</A></LI>
<LI><A href=
"#Python">Python support
</A></LI>
<LI><A href=
"#Ruby">Ruby support
</A></LI>
<LI><A href=
"#Tcl">Tcl support
</A></LI>
<H3><A NAME=
"1_1_3">Developer Documentation
</A></H3>
<LI><A href=
"#Extending">Extending SWIG
</A></LI>
<H3><A NAME=
"1_1_4">Documentation that has not yet been updated
</A></H3>
<P> This documentation has not been completely updated from SWIG-
1.1,
but most of the topics still apply to the current release. Make sure
you read the
<A href=
"#SWIG">SWIG Basics
</A> chapter before reading any
of these chapters. Also, SWIG-
1.3.10 features extensive changes to the
implementation of typemaps. Make sure you read the
<A href=
"#Typemaps">Typemaps
</A> chapter above if you are using this feature.
</P><LI><A href=
"Advanced.html#Advanced">Advanced topics
</A> (see
<A href=
"#Modules">
Modules
</A> for updated information).
</LI><H1><A name=
"Preface"></A>1 Preface
</H1>
<LI><A href=
"#Preface_nn2">Introduction
</A></LI>
<LI><A href=
"#Preface_nn3">Special Introduction for Version
1.3</A></LI>
<LI><A href=
"#Preface_nn4">SWIG Versions
</A></LI>
<LI><A href=
"#Preface_nn5">SWIG resources
</A></LI>
<LI><A href=
"#Preface_nn6">Prerequisites
</A></LI>
<LI><A href=
"#Preface_nn7">Organization of this manual
</A></LI>
<LI><A href=
"#Preface_nn8">How to avoid reading the manual
</A></LI>
<LI><A href=
"#Preface_nn9">Backwards Compatibility
</A></LI>
<LI><A href=
"#Preface_nn10">Credits
</A></LI>
<LI><A href=
"#Preface_nn11">Bug reports
</A></LI>
<H2><A name=
"Preface_nn2"></A>1.1 Introduction
</H2>
<P> SWIG (Simplified Wrapper and Interface Generator) is a software
development tool for building scripting language interfaces to C and
C++ programs. Originally developed in
1995, SWIG was first used by
scientists in the Theoretical Physics Division at Los Alamos National
Laboratory for building user interfaces to simulation codes running on
the Connection Machine
5 supercomputer. In this environment, scientists
needed to work with huge amounts of simulation data, complex hardware,
and a constantly changing code base. The use of a scripting language
interface provided a simple yet highly flexible foundation for solving
these types of problems. SWIG simplifies development by largely
automating the task of scripting language integration--allowing
developers and users to focus on more important problems.
</P><P> Although SWIG was originally developed for scientific applications,
it has since evolved into a general purpose tool that is used in a wide
variety of applications--in fact almost anything where C/C++
programming is involved.
</P><H2><A name=
"Preface_nn3"></A>1.2 Special Introduction for Version
1.3</H2>
<P> Since SWIG was released in
1996, its user base and applicability has
continued to grow. Although its rate of development has varied, an
active development effort has continued to make improvements to the
system. Today, nearly a dozen developers are working to create
SWIG-
2.0---a system that aims to provide wrapping support for nearly
all of the ANSI C++ standard and approximately ten target languages
including Guile, Java, Mzscheme, Ocaml, Perl, Pike, PHP, Python, Ruby,
<H2><A name=
"Preface_nn4"></A>1.3 SWIG Versions
</H2>
<P> For several years, the most stable version of SWIG has been release
1.1p5. Starting with version
1.3, a new version numbering scheme has
been adopted. Odd version numbers (
1.3,
1.5, etc.) represent
development versions of SWIG. Even version numbers (
1.4,
1.6, etc.)
represent stable releases. Currently, developers are working to create
a stable SWIG-
2.0 release. Don't let the development status of SWIG-
1.3 scare you---it is much more stable (and capable) than SWIG-
1.1p5.
</P><H2><A name=
"Preface_nn5"></A>1.4 SWIG resources
</H2>
<P> The official location of SWIG related material is
</P>
<A href=
"http://www.swig.org">http://www.swig.org
</A>
<P> This site contains the latest version of the software, users guide,
and information regarding bugs, installation problems, and
implementation tricks.
</P><P> You can also subscribe to the SWIG mailing list by visiting the page
</P>
<A href=
"http://www.swig.org/mail.html">http://www.swig.org/mail.html
</A>
<P> The mailing list often discusses some of the more technical aspects
of SWIG along with information about beta releases and future work.
</P><P> CVS access to the latest version of SWIG is also available. More
information about this can be obtained at:
</P><A href=
"http://www.swig.org/cvs.html">http://www.swig.org/cvs.html
</A>
<H2><A name=
"Preface_nn6"></A>1.5 Prerequisites
</H2>
<P> This manual assumes that you know how to write C/C++ programs and
that you have at least heard of scripting languages such as Tcl,
Python, and Perl. A detailed knowledge of these scripting languages is
not required although some familiarity won't hurt. No prior experience
with building C extensions to these languages is required---after all,
this is what SWIG does automatically. However, you should be reasonably
familiar with the use of compilers, linkers, and makefiles since making
scripting language extensions is somewhat more complicated than writing
<P> Recent SWIG releases have become significantly more capable in their
C++ handling--especially support for advanced features like namespaces,
overloaded operators, and templates. Whenever possible, this manual
tries to cover the technicalities of this interface. However, this
isn't meant to be a tutorial on C++ programming. For many of the gory
details, you will almost certainly want to consult a good C++
reference. If you don't program in C++, you may just want to skip those
<H2><A name=
"Preface_nn7"></A>1.6 Organization of this manual
</H2>
<P> The first few chapters of this manual describe SWIG in general and
provide an overview of its capabilities. The remaining chapters are
devoted to specific SWIG language modules and are self contained. Thus,
if you are using SWIG to build Python interfaces, you can probably skip
to that chapter and find almost everything you need to know. Caveat: we
are currently working on a documentation rewrite and many of the older
language module chapters are still somewhat out of date.
</P><H2><A name=
"Preface_nn8"></A>1.7 How to avoid reading the manual
</H2>
<P> If you hate reading manuals, glance at the
"Introduction
" which
contains a few simple examples. These examples contain about
95% of
everything you need to know to use SWIG. After that, simply use the
language-specific chapters as a reference. The SWIG distribution also
comes with a large directory of examples that illustrate different
<H2><A name=
"Preface_nn9"></A>1.8 Backwards Compatibility
</H2>
<P> If you are a previous user of SWIG, don't expect recent versions of
SWIG to provide backwards compatibility. In fact, backwards
compatibility issues may arise even between successive
1.3.x releases.
Although these incompatibilities are regrettable, SWIG-
1.3 is an active
development project. The primary goal of this effort is to make SWIG
better---a process that would simply be impossible if the developers
are constantly bogged down with backwards compatibility issues.
</P><P> On a positive note, a few incompatibilities are a small price to pay
for the large number of new features that have been added---namespaces,
templates, smart pointers, overloaded methods, operators, and more.
</P><P> If you need to work with different versions of SWIG and backwards
compatibility is an issue, you can use the SWIG_VERSION preprocessor
symbol which holds the version of SWIG being executed. SWIG_VERSION is
a hexadecimal integer such as
0x010311 (corresponding to SWIG-
1.3.11).
This can be used in an interface file to define different typemaps,
take advantage of different features etc:
</P>#if SWIG_VERSION
>=
0x010311/* Use some fancy new feature */
<P> Note: The version symbol is not defined in the generated SWIG
wrapper file. The SWIG preprocessor has defined SWIG_VERSION since
<H2><A name=
"Preface_nn10"></A>1.9 Credits
</H2>
<P> SWIG is an unfunded project that would not be possible without the
contributions of many people. Most recent SWIG development has been
supported by Matthias K
öppe, William Fulton, Lyle Johnson, Richard
Palmer, Thien-Thi Nguyen, Jason Stewart, Loic Dachary, Masaki
Fukushima, Luigi Ballabio, Sam Liddicott, Art Yerkes, Marcelo Matus,
Harco de Hilster, John Lenz, and Surendra Singhi.
</P><P> Historically, the following people contributed to early versions of
SWIG. Peter Lomdahl, Brad Holian, Shujia Zhou, Niels Jensen, and Tim
Germann at Los Alamos National Laboratory were the first users. Patrick
Tullmann at the University of Utah suggested the idea of automatic
documentation generation. John Schmidt and Kurtis Bleeker at the
University of Utah tested out the early versions. Chris Johnson
supported SWIG's developed at the University of Utah. John Buckman,
Larry Virden, and Tom Schwaller provided valuable input on the first
releases and improving the portability of SWIG. David Fletcher and Gary
Holt have provided a great deal of input on improving SWIG's Perl5
implementation. Kevin Butler contributed the first Windows NT port.
</P><H2><A name=
"Preface_nn11"></A>1.10 Bug reports
</H2>
<P> Although every attempt has been made to make SWIG bug-free, we are
also trying to make feature improvements that may introduce bugs. To
report a bug, either send mail to the SWIG developer list at the
<A href=
"http://www.swig.org/mail.html">swig-dev mailing list
</A> or report a bug at the
<A href=
"http://www.swig.org/bugs.html">SWIG bug tracker
</A>. In your report, be as specific as possible,
including (if applicable), error messages, tracebacks (if a core dump
occurred), corresponding portions of the SWIG interface file used, and
any important pieces of the SWIG generated wrapper code. We can only
fix bugs if we know about them.
</P><H1><A name=
"Introduction"></A>2 Introduction
</H1>
<LI><A href=
"#Introduction_nn2">What is SWIG?
</A></LI>
<LI><A href=
"#Introduction_nn3">Why use SWIG?
</A></LI>
<LI><A href=
"#Introduction_nn4">A SWIG example
</A>
<LI><A href=
"#Introduction_nn5">SWIG interface file
</A></LI>
<LI><A href=
"#Introduction_nn6">The swig command
</A></LI>
<LI><A href=
"#Introduction_nn7">Building a Perl5 module
</A></LI>
<LI><A href=
"#Introduction_nn8">Building a Python module
</A></LI>
<LI><A href=
"#Introduction_nn9">Shortcuts
</A></LI>
<LI><A href=
"#Introduction_nn10">Supported C/C++ language features
</A></LI>
<LI><A href=
"#Introduction_nn11">Non-intrusive interface building
</A></LI>
<LI><A href=
"#Introduction_build_system">Incorporating SWIG into a build
<LI><A href=
"#Introduction_nn12">Hands off code generation
</A></LI>
<LI><A href=
"#Introduction_nn13">SWIG and freedom
</A></LI>
<H2><A name=
"Introduction_nn2"></A>2.1 What is SWIG?
</H2>
<P> SWIG is a software development tool that simplifies the task of
interfacing different languages to C and C++ programs. In a nutshell,
SWIG is a compiler that takes C declarations and creates the wrappers
needed to access those declarations from other languages including
including Perl, Python, Tcl, Ruby, Guile, and Java. SWIG normally
requires no modifications to existing code and can often be used to
build a usable interface in only a few minutes. Possible applications
<LI>Building interpreted interfaces to existing C programs.
</LI>
<LI>Rapid prototyping and application development.
</LI>
<LI>Interactive debugging.
</LI>
<LI>Reengineering or refactoring of legacy software into a scripting
language components.
</LI><LI>Making a graphical user interface (using Tk for example).
</LI>
<LI>Testing of C libraries and programs (using scripts).
</LI>
<LI>Building high performance C modules for scripting languages.
</LI>
<LI>Making C programming more enjoyable (or tolerable depending on your
<LI>Impressing your friends.
</LI>
<LI>Obtaining vast sums of research funding (although obviously not
applicable to the author).
</LI><P> SWIG was originally designed to make it extremely easy for
scientists and engineers to build extensible scientific software
without having to get a degree in software engineering. Because of
this, the use of SWIG tends to be somewhat informal and ad-hoc (e.g.,
SWIG does not require users to provide formal interface specifications
as you would find in a dedicated IDL compiler). Although this style of
development isn't appropriate for every project, it is particularly
well suited to software development in the small; especially the
research and development work that is commonly found in scientific and
engineering projects.
</P><H2><A name=
"Introduction_nn3"></A>2.2 Why use SWIG?
</H2>
<P> As stated in the previous section, the primary purpose of SWIG is to
simplify the task of integrating C/C++ with other programming
languages. However, why would anyone want to do that? To answer that
question, it is useful to list a few strengths of C/C++ programming:
</P><LI>Excellent support for writing programming libraries.
</LI>
<LI>High performance (number crunching, data processing, graphics,
<LI>Systems programming and systems integration.
</LI>
<LI>Large user community and software base.
</LI>
<P> Next, let's list a few problems with C/C++ programming
</P>
<LI>Writing a user interface is rather painful (i.e., consider
programming with MFC, X11, GTK, or any number of other libraries).
</LI><LI>Testing is time consuming (the compile/debug cycle).
</LI>
<LI>Not easy to reconfigure or customize without recompilation.
</LI>
<LI>Modularization can be tricky.
</LI>
<LI>Security concerns (buffer overflow for instance).
</LI>
<P> To address these limitations, many programmers have arrived at the
conclusion that it is much easier to use different programming
languages for different tasks. For instance, writing a graphical user
interface may be significantly easier in a scripting language like
Python or Tcl (consider the reasons why millions of programmers have
used languages like Visual Basic if you need more proof). An
interactive interpreter might also serve as a useful debugging and
testing tool. Other languages like Java might greatly simplify the task
of writing distributed computing software. The key point is that
different programming languages offer different strengths and
weaknesses. Moreover, it is extremely unlikely that any programming is
ever going to be perfect. Therefore, by combining languages together,
you can utilize the best features of each language and greatly simplify
certain aspects of software development.
</P><P> From the standpoint of C/C++, a lot of people use SWIG because they
want to break out of the traditional monolithic C programming model
which usually results in programs that resemble this:
</P><LI>A collection of functions and variables that do something useful.
</LI>
<LI>A
<TT>main()
</TT> program that starts everything.
</LI>
<LI>A horrible collection of hacks that form some kind of user interface
(but which no-one really wants to touch).
</LI><P> Instead of going down that route, incorporating C/C++ into a higher
level language often results in a more modular design, less code,
better flexibility, and increased programmer productivity.
</P><P> SWIG tries to make the problem of C/C++ integration as painless as
possible. This allows you to focus on the underlying C program and
using the high-level language interface, but not the tedious and
complex chore of making the two languages talk to each other. At the
same time, SWIG recognizes that all applications are different.
Therefore, it provides a wide variety of customization features that
let you change almost every aspect of the language bindings. This is
the main reason why SWIG has such a large user manual ;-).
</P><H2><A name=
"Introduction_nn4"></A>2.3 A SWIG example
</H2>
<P> The best way to illustrate SWIG is with a simple example. Consider
the following C code:
</P>double My_variable =
3.0;
/* Compute factorial of n */
int my_mod(int n, int m) {
<P> Suppose that you wanted to access these functions and the global
variable
<TT>My_variable
</TT> from Tcl. You start by making a SWIG
interface file as shown below (by convention, these files carry a .i
<H3><A name=
"Introduction_nn5"></A>2.3.1 SWIG interface file
</H3>
/* Put headers and other declarations here */
extern double My_variable;
extern int my_mod(int n, int m);
extern double My_variable;
extern int my_mod(int n, int m);
<P> The interface file contains ANSI C function prototypes and variable
declarations. The
<TT>%module
</TT> directive defines the name of the
module that will be created by SWIG. The
<TT>%{,%}
</TT> block provides
a location for inserting additional code such as C header files or
additional C declarations.
</P><H3><A name=
"Introduction_nn6"></A>2.3.2 The swig command
</H3>
<P> SWIG is invoked using the
<TT>swig
</TT> command. We can use this to
build a Tcl module (under Linux) as follows :
</P>unix
> <B>swig -tcl example.i
</B>unix
> <B>gcc -c -fpic example.c example_wrap.c -I/usr/local/include
</B>unix
> <B>gcc -shared example.o example_wrap.o -o example.so
</B>%
<B>load ./example.so
</B>%
<B>expr $My_variable +
4.5</B><P> The
<TT>swig
</TT> command produced a new file called
<TT>
example_wrap.c
</TT> that should be compiled along with the
<TT>example.c
</TT> file. Most operating systems and scripting languages now support
dynamic loading of modules. In our example, our Tcl module has been
compiled into a shared library that can be loaded into Tcl. When
loaded, Tcl can now access the functions and variables declared in the
SWIG interface. A look at the file
<TT>example_wrap.c
</TT> reveals a
hideous mess. However, you almost never need to worry about it.
</P><H3><A name=
"Introduction_nn7"></A>2.3.3 Building a Perl5 module
</H3>
<P> Now, let's turn these functions into a Perl5 module. Without making
any changes type the following (shown for Solaris):
</P>unix
> <B>swig -perl5 example.i
</B>unix
> <B>gcc -c example.c example_wrap.c \
-I/usr/local/lib/perl5/sun4-solaris/
5.003/CORE
</B>unix
> <B>ld -G example.o example_wrap.o -o example.so
</B> # This is for Solaris
print example::fact(
4),
"\n
";
print example::my_mod(
23,
7),
"\n
";
print $example::My_variable +
4.5,
"\n
";
<H3><A name=
"Introduction_nn8"></A>2.3.4 Building a Python module
</H3>
<P> Finally, let's build a module for Python (shown for Irix).
</P>
unix
> <B>swig -python example.i
</B>unix
> <B>gcc -c -fpic example.c example_wrap.c -I/usr/local/include/python2.0
</B>unix
> <B>gcc -shared example.o example_wrap.o -o _example.so
</B>Python
2.0 (#
6, Feb
21 2001,
13:
29:
45)
[GCC egcs-
2.91.66 19990314/Linux (egcs-
1.1.2 release)] on linux2
Type
"copyright
",
"credits
" or
"license
" for more information.
>>> <B>import example
</B>
>>> <B>example.fact(
4)
</B>
>>> <B>example.my_mod(
23,
7)
</B>
>>> <B>example.cvar.My_variable +
4.5</B>
<H3><A name=
"Introduction_nn9"></A>2.3.5 Shortcuts
</H3>
<P> To the truly lazy programmer, one may wonder why we needed the extra
interface file at all. As it turns out, you can often do without it.
For example, you could also build a Perl5 module by just running SWIG
on the C header file and specifying a module name as follows
</P>unix
> <B>swig -perl5 -module example example.h
</B>unix
> <B>gcc -c example.c example_wrap.c \
-I/usr/local/lib/perl5/sun4-solaris/
5.003/CORE
</B>unix
> <B>ld -G example.o example_wrap.o -o example.so
</B>print example::fact(
4),
"\n
";
print example::my_mod(
23,
7),
"\n
";
print $example::My_variable +
4.5,
"\n
";
<H2><A name=
"Introduction_nn10"></A>2.4 Supported C/C++ language
<P> A primary goal of the SWIG project is to make the language binding
process extremely easy. Although a few simple examples have been shown,
SWIG is quite capable in supporting most of C++. Some of the major
<LI>Full C99 preprocessing.
</LI>
<LI>All ANSI C and C++ datatypes.
</LI>
<LI>Functions, variables, and constants.
</LI>
<LI>Single and multiple inheritance.
</LI>
<LI>Overloaded functions and methods.
</LI>
<LI>Overloaded operators.
</LI>
<LI>C++ templates (including member templates, specialization, and
partial specialization).
</LI><LI>Variable length arguments.
</LI>
<LI>C++ smart pointers.
</LI>
<P> Currently, the only major C++ feature not supported is nested
classes--a limitation that will be removed in a future release.
</P><P> It is important to stress that SWIG is not a simplistic C++ lexing
tool like several apparently similar wrapper generation tools. SWIG not
only parses C++, it implements the full C++ type system and it is able
to understand C++ semantics. SWIG generates its wrappers with full
knowledge of this information. As a result, you will find SWIG to be
just as capable of dealing with nasty corner cases as it is in wrapping
simple C++ code. In fact, SWIG is able handle C++ code that stresses
the very limits of many C++ compilers.
</P><H2><A name=
"Introduction_nn11"></A>2.5 Non-intrusive interface building
</H2>
<P> When used as intended, SWIG requires minimal (if any) modification
to existing C or C++ code. This makes SWIG extremely easy to use with
existing packages and promotes software reuse and modularity. By making
the C/C++ code independent of the high level interface, you can change
the interface and reuse the code in other applications. It is also
possible to support different types of interfaces depending on the
<H2><A name=
"Introduction_build_system"></A>2.6 Incorporating SWIG into
<P> SWIG is a command line tool and as such can be incorporated into any
build system that supports invoking external tools/compilers. SWIG is
most commonly invoked from within a Makefile, but is also known to be
invoked from from popular IDEs such as Microsoft Visual Studio.
</P><P> If you are using the GNU Autotools (
<A href=
"http://www.gnu.org/software/autoconf">
Autoconf
</A>/
<A href=
"http://www.gnu.org/software/automake">Automake
</A>/
<A href=
"http://www.gnu.org/software/libtool">Libtool
</A>) to
configure SWIG use in your project, the SWIG Autoconf macros can be
used. The primary macro is
<TT>ac_pkg_swig
</TT>, see
<A href=
"http://www.gnu.org/software/ac-archive/htmldoc/ac_pkg_swig.html">http://www.gnu.org/software/ac-archive/htmldoc/ac_pkg_swig.html
</A>. The
<TT>ac_python_devel
</TT> macro is also helpful for generating Python
extensions. See the
<A href=
"http://www.gnu.org/software/ac-archive/htmldoc/index.html">Autoconf Macro Archive
</A> for further information on this and other
<P> There is growing support for SWIG in some build tools, for example
<A
href=
"http://www.cmake.org">CMake
</A> is a cross-platform, open-source
build manager with built in support for SWIG. CMake can detect the SWIG
executable and many of the target language libraries for linking
against. CMake knows how to build shared libraries and loadable modules
on many different operating systems. This allows easy cross platform
SWIG development. It also can generate the custom commands necessary
for driving SWIG from IDE's and makefiles. All of this can be done from
a single cross platform input file. The following example is a CMake
input file for creating a python wrapper for the SWIG interface file,
# This is a CMake example for Python
FIND_PACKAGE(SWIG REQUIRED)
INCLUDE(${SWIG_USE_FILE})
INCLUDE_DIRECTORIES(${PYTHON_INCLUDE_PATH})
INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR})
SET(CMAKE_SWIG_FLAGS
"")
SET_SOURCE_FILES_PROPERTIES(example.i PROPERTIES CPLUSPLUS ON)
SET_SOURCE_FILES_PROPERTIES(example.i PROPERTIES SWIG_FLAGS
"-includeall
")
SWIG_ADD_MODULE(example python example.i example.cxx)
SWIG_LINK_LIBRARIES(example ${PYTHON_LIBRARIES})
<P> The above example will generate native build files such as
makefiles, nmake files and Visual Studio projects which will invoke
SWIG and compile the generated C++ files into _example.so (UNIX) or
_example.dll (Windows).
</P><H2><A name=
"Introduction_nn12"></A>2.7 Hands off code generation
</H2>
<P> SWIG is designed to produce working code that needs no
hand-modification (in fact, if you look at the output, you probably
won't want to modify it). You should think of your target language
interface being defined entirely by the input to SWIG, not the
resulting output file. While this approach may limit flexibility for
hard-core hackers, it allows others to forget about the low-level
implementation details.
</P><H2><A name=
"Introduction_nn13"></A>2.8 SWIG and freedom
</H2>
<P> No, this isn't a special section on the sorry state of world
politics. However, it may be useful to know that SWIG was written with
a certain
"philosophy
" about programming---namely that programmers are
smart and that tools should just stay out of their way. Because of
that, you will find that SWIG is extremely permissive in what it lets
you get away with. In fact, you can use SWIG to go well beyond
"shooting yourself in the foot
" if dangerous programming is your goal.
On the other hand, this kind of freedoom may be exactly what is needed
to work with complicated and unusual C/C++ applications.
</P><P> Ironically, the freedom that SWIG provides is countered by an
extremely conservative approach to code generation. At it's core, SWIG
tries to distill even the most advanced C++ code down to a small
well-defined set of interface building techniques based on ANSI C
programming. Because of this, you will find that SWIG interfaces can be
easily compiled by virtually every C/C++ compiler and that they can be
used on any platform. Again, this is an important part of staying out
of the programmer's way----the last thing any developer wants to do is
to spend their time debugging the output of a tool that relies on
non-portable or unreliable programming features.
</P><H1><A name=
"Windows"></A>3 Getting started on Windows
</H1>
<LI><A href=
"#Windows_nn2">Installation on Windows
</A>
<LI><A href=
"#Windows_nn3">Windows Executable
</A></LI>
<LI><A href=
"#examples">SWIG Windows Examples
</A>
<LI><A href=
"#Windows_nn5">Instructions for using the Examples with
<LI><A href=
"#Windows_nn6">Python
</A></LI>
<LI><A href=
"#Windows_nn7">TCL
</A></LI>
<LI><A href=
"#Windows_nn8">Perl
</A></LI>
<LI><A href=
"#Windows_nn9">Java
</A></LI>
<LI><A href=
"#Windows_nn10">Ruby
</A></LI>
<LI><A href=
"#Windows_nn11">C#
</A></LI>
<LI><A href=
"#Windows_nn12">Instructions for using the Examples with
<LI><A href=
"#Windows_nn13">SWIG on Cygwin and MinGW
</A>
<LI><A href=
"#swig_exe">Building swig.exe on Windows
</A>
<LI><A href=
"#Windows_nn15">Building swig.exe using MinGW and MSYS
</A></LI>
<LI><A href=
"#Windows_nn16">Building swig.exe using Cygwin
</A></LI>
<LI><A href=
"#Windows_nn17">Building swig.exe alternatives
</A></LI>
<LI><A href=
"#examples_cygwin">Running the examples on Windows using
<P> This chapter describes SWIG usage on Microsoft Windows. Installing
SWIG and running the examples is covered as well as building the SWIG
executable. Usage within the Unix like environments MinGW and Cygwin is
<H2><A name=
"Windows_nn2"></A>3.1 Installation on Windows
</H2>
<P> SWIG does not come with the usual Windows type installation program,
however it is quite easy to get started. The main steps are:
</P><LI>Download the swigwin zip package from the
<A href=
"http://www.swig.org">
SWIG website
</A> and unzip into a directory. This is all that needs
downloading for the Windows platform.
</LI><LI>Set environment variables as described in the
<A href=
"#examples">
SWIG Windows Examples
</A> section in order to run examples using Visual
<H3><A name=
"Windows_nn3"></A>3.1.1 Windows Executable
</H3>
<P> The swigwin distribution contains the SWIG Windows executable,
swig.exe, which will run on
32 bit versions of Windows, ie Windows
95/
98/ME/NT/
2000/XP. If you want to build your own swig.exe have a look
at
<A href=
"#swig_exe">Building swig.exe on Windows
</A>.
</P><H2><A name=
"examples"></A>3.2 SWIG Windows Examples
</H2>
<P> Using Microsoft Visual C++ is the most common approach to compiling
and linking SWIG's output. The Examples directory has a few Visual C++
project files (.dsp files). These were produced by Visual C++
6,
although they should also work in Visual C++
5. Later versions of
Visual Studio should also be able to open and convert these project
files. The C# examples come with .NET
2003 solution (.sln) and project
files instead of Visual C++
6 project files. The project files have
been set up to execute SWIG in a custom build rule for the SWIG
interface (.i) file. Alternatively run the
<A href=
"#examples_cygwin">examples using Cygwin
</A>.
</P><P> More information on each of the examples is available with the
examples distributed with SWIG (Examples/index.html).
</P><H3><A name=
"Windows_nn5"></A>3.2.1 Instructions for using the Examples
<P> Ensure the SWIG executable is as supplied in the SWIG root directory
in order for the examples to work. Most languages require some
environment variables to be set
<B> before
</B> running Visual C++. Note
that Visual C++ must be re-started to pick up any changes in
environment variables. Open up an example .dsp file, Visual C++ will
create a workspace for you (.dsw file). Ensure the Release build is
selected then do a Rebuild All from the Build menu. The required
environment variables are displayed with their current values.
</P><P> The list of required environment variables for each module language
is also listed below. They are usually set from the Control Panel and
System properties, but this depends on which flavour of Windows you are
running. If you don't want to use environment variables then change all
occurences of the environment variables in the .dsp files with hard
coded values. If you are interested in how the project files are set up
there is explanatory information in some of the language module's
<H4><A name=
"Windows_nn6"></A>3.2.1.1 Python
</H4>
<P><B> <TT>PYTHON_INCLUDE
</TT></B> : Set this to the directory that
<BR><B> <TT>PYTHON_LIB
</TT></B> : Set this to the python library
including path for linking
</P><P> Example using Python
2.1.1:
<BR> <TT>PYTHON_INCLUDE: d:\python21\include
<BR> PYTHON_LIB: d:\python21\libs\python21.lib
<H4><A name=
"Windows_nn7"></A>3.2.1.2 TCL
</H4>
<P><B> <TT>TCL_INCLUDE
</TT></B> : Set this to the directory containing
<BR><B> <TT>TCL_LIB
</TT></B> : Set this to the TCL library including
<P> Example using ActiveTcl
8.3.3.3
<BR> <TT>TCL_INCLUDE: d:\tcl\include
<BR> TCL_LIB: d:\tcl\lib\tcl83.lib
<H4><A name=
"Windows_nn8"></A>3.2.1.3 Perl
</H4>
<P><B> <TT>PERL5_INCLUDE
</TT></B> : Set this to the directory containing
<BR><B> <TT>PERL5_LIB
</TT></B> : Set this to the Perl library including
<P> Example using nsPerl
5.004_04:
</P>
<P> <TT>PERL5_INCLUDE: D:\nsPerl5.004_04\lib\CORE
<BR> PERL5_LIB: D:\nsPerl5.004_04\lib\CORE\perl.lib
<H4><A name=
"Windows_nn9"></A>3.2.1.4 Java
</H4>
<P><B> <TT>JAVA_INCLUDE
</TT></B> : Set this to the directory containing
<BR><B> <TT>JAVA_BIN
</TT></B> : Set this to the bin directory containing
<P> Example using JDK1.3:
<BR> <TT>JAVA_INCLUDE: d:\jdk1.3\include
<BR> JAVA_BIN: d:\jdk1.3\bin
<H4><A name=
"Windows_nn10"></A>3.2.1.5 Ruby
</H4>
<P><B> <TT>RUBY_INCLUDE
</TT></B> : Set this to the directory containing
<BR><B> <TT>RUBY_LIB
</TT></B> : Set this to the ruby library including
<P> Example using Ruby
1.6.4:
<BR> <TT>RUBY_INCLUDE: D:\ruby\lib\ruby\
1.6\i586-mswin32
<BR> RUBY_LIB: D:\ruby\lib\mswin32-ruby16.lib
<H4><A name=
"Windows_nn11"></A>3.2.1.6 C#
</H4>
<P> The C# examples do not require any environment variables to be set
as a C# project file is included. Just open up the .sln solution file
in Visual Studio .NET
2003 and do a Rebuild All from the Build menu.
The accompanying C# and C++ project file are automatically used by the
<H3><A name=
"Windows_nn12"></A>3.2.2 Instructions for using the Examples
with other compilers
</H3><P> If you do not have access to Visual C++ you will have to set up
project files / Makefiles for your chosen compiler. There is a section
in each of the language modules detailing what needs setting up using
Visual C++ which may be of some guidance. Alternatively you may want to
use Cygwin as described in the following section.
</P><H2><A name=
"Windows_nn13"></A>3.3 SWIG on Cygwin and MinGW
</H2>
<P> SWIG can also be compiled and run using
<A href=
"http://www.cygwin.com">
Cygwin
</A> or
<A href=
"http://www.mingw.org">MinGW
</A> which provides a
Unix like front end to Windows and comes free with gcc, an ANSI C/C++
compiler. However, this is not a recommended approach as the prebuilt
executable is supplied.
</P><H3><A name=
"swig_exe"></A>3.3.1 Building swig.exe on Windows
</H3>
<P> If you want to replicate the build of swig.exe that comes with the
download, follow the MinGW instructions below. This is not necessary to
use the supplied swig.exe. This information is provided for those that
want to modify the SWIG source code in a Windows environment. Normally
this is not needed, so most people will want to ignore this section.
</P><H4><A name=
"Windows_nn15"></A>3.3.1.1 Building swig.exe using MinGW and
<LI>Install MinGW and MSYS from the
<A href=
"http://www.mingw.org">MinGW
</A>
site. This provides a Unix environment on Windows.
</LI><LI>Follow the usual Unix instructions in the README file in the SWIG
root directory to build swig.exe from the MinGW command prompt.
</LI><H4><A name=
"Windows_nn16"></A>3.3.1.2 Building swig.exe using Cygwin
</H4>
<P> Note that SWIG can also be built using Cygwin. However, the SWIG
will then require the Cygwin DLL when executing. Follow the Unix
instructions in the README file in the SWIG root directory. Note that
the Cygwin environment will also allow one to regenerate the autotool
generated files which are supplied with the release distribution. These
files are generated using the
<TT>autogen.sh
</TT> script and will only
need regenerating in circumstances such as changing the build system.
</P><H4><A name=
"Windows_nn17"></A>3.3.1.3 Building swig.exe alternatives
</H4>
<P> If you don't want to install Cygwin or MinGW, use a different
compiler to build SWIG. For example, all the source code files can be
added to a Visual C++ project file in order to build swig.exe from the
<H3><A name=
"examples_cygwin"></A>3.3.2 Running the examples on Windows
<P> The examples and test-suite work as successfully on Cygwin as on any
other Unix operating system. The modules which are known to work are
Python, Tcl, Perl, Ruby, Java and C#. Follow the Unix instructions in
the README file in the SWIG root directory to build the examples.
</P><H1><A name=
"Scripting"></A>4 Scripting Languages
</H1>
<LI><A href=
"#Scripting_nn2">The two language view of the world
</A></LI>
<LI><A href=
"#Scripting_nn3">How does a scripting language talk to C?
</A>
<LI><A href=
"#Scripting_nn4">Wrapper functions
</A></LI>
<LI><A href=
"#Scripting_nn5">Variable linking
</A></LI>
<LI><A href=
"#Scripting_nn6">Constants
</A></LI>
<LI><A href=
"#Scripting_nn7">Structures and classes
</A></LI>
<LI><A href=
"#Scripting_nn8">Proxy classes
</A></LI>
<LI><A href=
"#Scripting_nn9">Building scripting language extensions
</A>
<LI><A href=
"#Scripting_nn10">Shared libraries and dynamic loading
</A></LI>
<LI><A href=
"#Scripting_nn11">Linking with shared libraries
</A></LI>
<LI><A href=
"#Scripting_nn12">Static linking
</A></LI>
<P> This chapter provides a brief overview of scripting language
extension programming and the mechanisms by which scripting language
interpreters access C and C++ code.
</P><H2><A name=
"Scripting_nn2"></A>4.1 The two language view of the world
</H2>
<P> When a scripting language is used to control a C program, the
resulting system tends to look as follows:
</P><CENTER><IMG alt=
"Scripting language input - C/C++ functions output" HEIGHT=
"149"
src=
"ch2.1.png" WIDTH=
"377"></CENTER>
<P> In this programming model, the scripting language interpreter is
used for high level control whereas the underlying functionality of the
C/C++ program is accessed through special scripting language
"commands.
" If you have ever tried to write your own simple command
interpreter, you might view the scripting language approach to be a
highly advanced implementation of that. Likewise, If you have ever used
a package such as MATLAB or IDL, it is a very similar model--the
interpreter executes user commands and scripts. However, most of the
underlying functionality is written in a low-level language like C or
<P> The two-language model of computing is extremely powerful because it
exploits the strengths of each language. C/C++ can be used for maximal
performance and complicated systems programming tasks. Scripting
languages can be used for rapid prototyping, interactive debugging,
scripting, and access to high-level data structures such associative
<H2><A name=
"Scripting_nn3"></A>4.2 How does a scripting language talk
<P> Scripting languages are built around a parser that knows how to
execute commands and scripts. Within this parser, there is a mechanism
for executing commands and accessing variables. Normally, this is used
to implement the builtin features of the language. However, by
extending the interpreter, it is usually possible to add new commands
and variables. To do this, most languages define a special API for
adding new commands. Furthermore, a special foreign function interface
defines how these new commands are supposed to hook into the
<P> Typically, when you add a new command to a scripting interpreter you
need to do two things; first you need to write a special
"wrapper
" function that serves as the glue between the interpreter and the
underlying C function. Then you need to give the interpreter
information about the wrapper by providing details about the name of
the function, arguments, and so forth. The next few sections illustrate
<H3><A name=
"Scripting_nn4"></A>4.2.1 Wrapper functions
</H3>
<P> Suppose you have an ordinary C function like this :
</P>
<P> In order to access this function from a scripting language, it is
necessary to write a special
"wrapper
" function that serves as the glue
between the scripting language and the underlying C function. A wrapper
function must do three things :
</P><LI>Gather function arguments and make sure they are valid.
</LI>
<LI>Call the C function.
</LI>
<LI>Convert the return value into a form recognized by the scripting
<P> As an example, the Tcl wrapper function for the
<TT>fact()
</TT>
function above example might look like the following :
</P>int wrap_fact(ClientData clientData, Tcl_Interp *interp,
int argc, char *argv[]) {
interp-
>result =
"wrong # args
";
sprintf(interp-
>result,
"%d
", result);
<P> Once you have created a wrapper function, the final step is to tell
the scripting language about the new function. This is usually done in
an initialization function called by the language when the module is
loaded. For example, adding the above function to the Tcl interpreter
requires code like the following :
</P>int Wrap_Init(Tcl_Interp *interp) {
Tcl_CreateCommand(interp,
"fact
", wrap_fact, (ClientData) NULL,
(Tcl_CmdDeleteProc *) NULL);
<P> When executed, Tcl will now have a new command called
"<TT>fact
</TT>
" that you can use like any other Tcl command.
</P>
<P> Although the process of adding a new function to Tcl has been
illustrated, the procedure is almost identical for Perl and Python.
Both require special wrappers to be written and both need additional
initialization code. Only the specific details are different.
</P><H3><A name=
"Scripting_nn5"></A>4.2.2 Variable linking
</H3>
<P> Variable linking refers to the problem of mapping a C/C++ global
variable to a variable in the scripting language interpeter. For
example, suppose you had the following variable:
</P><P> It might be nice to access it from a script as follows (shown for
$a = $Foo *
2.3; # Evaluation
$Foo = $a +
2.0; # Assignment
<P> To provide such access, variables are commonly manipulated using a
pair of get/set functions. For example, whenever the value of a
variable is read, a
"get
" function is invoked. Similarly, whenever the
value of a variable is changed, a
"set
" function is called.
</P><P> In many languages, calls to the get/set functions can be attached to
evaluation and assignment operators. Therefore, evaluating a variable
such as
<TT>$Foo
</TT> might implicitly call the get function.
Similarly, typing
<TT>$Foo =
4</TT> would call the underlying set
function to change the value.
</P><H3><A name=
"Scripting_nn6"></A>4.2.3 Constants
</H3>
<P> In many cases, a C program or library may define a large collection
of constants. For example:
</P><P> To make constants available, their values can be stored in scripting
language variables such as
<TT>$RED
</TT>,
<TT>$BLUE
</TT>, and
<TT>$GREEN
</TT>. Virtually all scripting languages provide C functions for
creating variables so installing constants is usually a trivial
<H3><A name=
"Scripting_nn7"></A>4.2.4 Structures and classes
</H3>
<P> Although scripting languages have no trouble accessing simple
functions and variables, accessing C/C++ structures and classes present
a different problem. This is because the implementation of structures
is largely related to the problem of data representation and layout.
Furthermore, certain language features are difficult to map to an
interpreter. For instance, what does C++ inheritance mean in a Perl
<P> The most straightforward technique for handling structures is to
implement a collection of accessor functions that hide the underlying
representation of a structure. For example,
</P><P> can be transformed into the following set of functions :
</P>
void delete_Vector(Vector *v);
double Vector_x_get(Vector *v);
double Vector_y_get(Vector *v);
double Vector_z_get(Vector *v);
void Vector_x_set(Vector *v, double x);
void Vector_y_set(Vector *v, double y);
void Vector_z_set(Vector *v, double z);
<P> Now, from an interpreter these function might be used as follows:
</P>
<P> Since accessor functions provide a mechanism for accessing the
internals of an object, the interpreter does not need to know anything
about the actual representation of a
<TT>Vector
</TT>.
</P><H3><A name=
"Scripting_nn8"></A>4.2.5 Proxy classes
</H3>
<P> In certain cases, it is possible to use the low-level accessor
functions to create a proxy class, also known as a shadow class. A
proxy class is a special kind of object that gets created in a
scripting language to access a C/C++ class (or struct) in a way that
looks like the original structure (that is, it proxies the real C++
class). For example, if you have the following C definition :
</P><P> A proxy classing mechanism would allow you to access the structure
in a more natural manner from the interpreter. For example, in Python,
you might want to do this:
</P>>>> v = Vector()
<P> Similarly, in Perl5 you may want the interface to work like this:
</P>
<P> Finally, in Tcl :
</P>
v configure -x
3 -y
4 -z
13<P> When proxy classes are used, two objects are at really work--one in
the scripting language, and an underlying C/C++ object. Operations
affect both objects equally and for all practical purposes, it appears
as if you are simply manipulating a C/C++ object.
</P><H2><A name=
"Scripting_nn9"></A>4.3 Building scripting language
<P> The final step in using a scripting language with your C/C++
application is adding your extensions to the scripting language itself.
There are two primary approaches for doing this. The preferred
technique is to build a dynamically loadable extension in the form a
shared library. Alternatively, you can recompile the scripting language
interpreter with your extensions added to it.
</P><H3><A name=
"Scripting_nn10"></A>4.3.1 Shared libraries and dynamic
<P> To create a shared library or DLL, you often need to look at the
manual pages for your compiler and linker. However, the procedure for a
few common machines is shown below:
</P># Build a shared library for Solaris
gcc -c example.c example_wrap.c -I/usr/local/include
ld -G example.o example_wrap.o -o example.so
# Build a shared library for Linux
gcc -fpic -c example.c example_wrap.c -I/usr/local/include
gcc -shared example.o example_wrap.o -o example.so
# Build a shared library for Irix
gcc -c example.c example_wrap.c -I/usr/local/include
ld -shared example.o example_wrap.o -o example.so
<P> To use your shared library, you simply use the corresponding command
in the scripting language (load, import, use, etc...). This will import
your module and allow you to start using it. For example:
</P><P> When working with C++ codes, the process of building shared
libraries may be more complicated--primarily due to the fact that C++
modules may need additional code in order to operate correctly. On many
machines, you can build a shared C++ module by following the above
procedures, but changing the link line to the following :
</P>c++ -shared example.o example_wrap.o -o example.so
<H3><A name=
"Scripting_nn11"></A>4.3.2 Linking with shared libraries
</H3>
<P> When building extensions as shared libraries, it is not uncommon for
your extension to rely upon other shared libraries on your machine. In
order for the extension to work, it needs to be able to find all of
these libraries at run-time. Otherwise, you may get an error such as
>>> import graph
Traceback (innermost last):
File
"<stdin
>", line
1, in ?
File
"/home/sci/data1/beazley/graph/graph.py
", line
2, in ?
ImportError:
1101:/home/sci/data1/beazley/bin/python: rld: Fatal Error: cannot
successfully map soname 'libgraph.so' under any of the filenames /usr/lib/libgraph.so:/
lib/libgraph.so:/lib/cmplrs/cc/libgraph.so:/usr/lib/cmplrs/cc/libgraph.so:
<P> What this error means is that the extension module created by SWIG
depends upon a shared library called
"<TT>libgraph.so
</TT>" that the
system was unable to locate. To fix this problem, there are a few
approaches you can take.
</P><LI>Link your extension and explicitly tell the linker where the
required libraries are located. Often times, this can be done with a
special linker flag such as
<TT>-R
</TT>,
<TT>-rpath
</TT>, etc. This is
not implemented in a standard manner so read the man pages for your
linker to find out more about how to set the search path for shared
<LI>Put shared libraries in the same directory as the executable. This
technique is sometimes required for correct operation on non-Unix
<LI>Set the UNIX environment variable
<TT>LD_LIBRARY_PATH
</TT> to the
directory where shared libraries are located before running Python.
Although this is an easy solution, it is not recommended. Consider
setting the path using linker options instead.
</LI><H3><A name=
"Scripting_nn12"></A>4.3.3 Static linking
</H3>
<P> With static linking, you rebuild the scripting language interpreter
with extensions. The process usually involves compiling a short main
program that adds your customized commands to the language and starts
the interpreter. You then link your program with a library to produce a
new scripting language executable.
</P><P> Although static linking is supported on all platforms, this is not
the preferred technique for building scripting language extensions. In
fact, there are very few practical reasons for doing this--consider
using shared libraries instead.
</P><H1><A name=
"SWIG"></A>5 SWIG Basics
</H1>
<LI><A href=
"#SWIG_nn2">Running SWIG
</A>
<LI><A href=
"#SWIG_nn3">Input format
</A></LI>
<LI><A href=
"#output">SWIG Output
</A></LI>
<LI><A href=
"#SWIG_nn5">Comments
</A></LI>
<LI><A href=
"#SWIG_nn6">C Preprocessor
</A></LI>
<LI><A href=
"#SWIG_nn7">SWIG Directives
</A></LI>
<LI><A href=
"#SWIG_nn8">Parser Limitations
</A></LI>
<LI><A href=
"#SWIG_nn9">Wrapping Simple C Declarations
</A>
<LI><A href=
"#SWIG_nn10">Basic Type Handling
</A></LI>
<LI><A href=
"#SWIG_nn11">Global Variables
</A></LI>
<LI><A href=
"#SWIG_nn12">Constants
</A></LI>
<LI><A href=
"#SWIG_nn13">A brief word about
<TT>const
</TT></A></LI>
<LI><A href=
"#SWIG_nn14">A cautionary tale of
<TT>char *
</TT></A></LI>
<LI><A href=
"#SWIG_nn15">Pointers and complex objects
</A>
<LI><A href=
"#SWIG_nn16">Simple pointers
</A></LI>
<LI><A href=
"#SWIG_nn17">Run time pointer type checking
</A></LI>
<LI><A href=
"#SWIG_nn18">Derived types, structs, and classes
</A></LI>
<LI><A href=
"#SWIG_nn19">Undefined datatypes
</A></LI>
<LI><A href=
"#SWIG_nn20">Typedef
</A></LI>
<LI><A href=
"#SWIG_nn21">Other Practicalities
</A>
<LI><A href=
"#SWIG_nn22">Passing structures by value
</A></LI>
<LI><A href=
"#SWIG_nn23">Return by value
</A></LI>
<LI><A href=
"#SWIG_nn24">Linking to structure variables
</A></LI>
<LI><A href=
"#SWIG_nn25">Linking to
<TT>char *
</TT></A></LI>
<LI><A href=
"#SWIG_nn26">Arrays
</A></LI>
<LI><A href=
"#SWIG_readonly_variables">Creating read-only variables
</A></LI>
<LI><A href=
"#SWIG_nn28">Renaming and ignoring declarations
</A></LI>
<LI><A href=
"#SWIG_default_args">Default/optional arguments
</A></LI>
<LI><A href=
"#SWIG_nn30">Pointers to functions and callbacks
</A></LI>
<LI><A href=
"#SWIG_nn31">Structures and unions
</A>
<LI><A href=
"#SWIG_nn32">Typedef and structures
</A></LI>
<LI><A href=
"#SWIG_nn33">Character strings and structures
</A></LI>
<LI><A href=
"#SWIG_nn34">Array members
</A></LI>
<LI><A href=
"#SWIG_nn35">Structure data members
</A></LI>
<LI><A href=
"#SWIG_nn36">C constructors and destructors
</A></LI>
<LI><A href=
"#SWIG_adding_member_functions">Adding member functions to C
<LI><A href=
"#SWIG_nn38">Nested structures
</A></LI>
<LI><A href=
"#SWIG_nn39">Other things to note about structure wrapping
</A>
<LI><A href=
"#SWIG_nn40">Code Insertion
</A>
<LI><A href=
"#SWIG_nn41">The output of SWIG
</A></LI>
<LI><A href=
"#SWIG_nn42">Code insertion blocks
</A></LI>
<LI><A href=
"#SWIG_nn43">Inlined code blocks
</A></LI>
<LI><A href=
"#SWIG_nn44">Initialization blocks
</A></LI>
<LI><A href=
"#SWIG_nn45">An Interface Building Strategy
</A>
<LI><A href=
"#SWIG_nn46">Preparing a C program for SWIG
</A></LI>
<LI><A href=
"#SWIG_nn47">The SWIG interface file
</A></LI>
<LI><A href=
"#SWIG_nn48">Why use separate interface files?
</A></LI>
<LI><A href=
"#SWIG_nn49">Getting the right header files
</A></LI>
<LI><A href=
"#SWIG_nn50">What to do with main()
</A></LI>
<P> This chapter describes the basic operation of SWIG, the structure of
its input files, and how it handles standard ANSI C declarations. C++
support is described in the next chapter. However, C++ programmers
should still read this chapter to understand the basics. Specific
details about each target language are described in later chapters.
</P><H2><A name=
"SWIG_nn2"></A>5.1 Running SWIG
</H2>
<P> To run SWIG, use the
<TT>swig
</TT> command with one or more of the
following options and a filename like this:
</P>swig [
<EM>options
</EM> ] filename
-chicken Generate CHICKEN wrappers
-csharp Generate C# wrappers
-guile Generate Guile wrappers
-java Generate Java wrappers
-mzscheme Generate Mzscheme wrappers
-ocaml Generate Ocaml wrappers
-perl Generate Perl wrappers
-php Generate PHP wrappers
-pike Generate Pike wrappers
-python Generate Python wrappers
-ruby Generate Ruby wrappers
-sexp Generate Lisp S-Expressions wrappers
-tcl Generate Tcl wrappers
-xml Generate XML wrappers
-D
<EM>symbol
</EM> Define a preprocessor symbol
-Fstandard Display error/warning messages in commonly used format
-Fmicrosoft Display error/warning messages in Microsoft format
-help Display all options
-I
<EM>dir
</EM> Add a directory to the file include path
-l
<EM>file
</EM> Include a SWIG library file.
-module
<EM>name
</EM> Set the name of the SWIG module
-o
<EM>outfile
</EM> Name of output file
-outdir
<EM>dir
</EM> Set language specific files output directory
-swiglib Show location of SWIG library
-version Show SWIG version number
<P> This is a subset of commandline options. Additional options are also
defined for each target language. A full list can be obtained by typing
<TT>swig -help
</TT> or
<TT>swig -
<EM>lang
</EM> -help
</TT>.
</P>
<H3><A name=
"SWIG_nn3"></A>5.1.1 Input format
</H3>
<P> As input, SWIG expects a file containing ANSI C/C++ declarations and
special SWIG directives. More often than not, this is a special SWIG
interface file which is usually denoted with a special
<TT>.i
</TT> or
<TT>.swg
</TT> suffix. In certain cases, SWIG can be used directly on raw
header files or source files. However, this is not the most typical
case and there are several reasons why you might not want to do this
<P> The most common format of a SWIG interface is as follows:
</P>
#include
"myheader.h
"// Now list ANSI C/C++ declarations
<P> The name of the module is supplied using the special
<TT>%module
</TT>
directive (or the
<TT>-module
</TT> command line option). This directive
must appear at the beginning of the file and is used to name the
resulting extension module (in addition, this name often defines a
namespace in the target language). If the module name is supplied on
the command line, it overrides the name specified with the
<TT>%module
</TT><P> Everything in the
<TT>%{ ... %}
</TT> block is simply copied verbatim
to the resulting wrapper file created by SWIG. This section is almost
always used to include header files and other declarations that are
required to make the generated wrapper code compile. It is important to
emphasize that just because you include a declaration in a SWIG input
file, that declaration does
<EM> not
</EM> automatically appear in the
generated wrapper code---therefore you need to make sure you include
the proper header files in the
<TT>%{ ... %}
</TT> section. It should be
noted that the text enclosed in
<TT>%{ ... %}
</TT> is not parsed or
interpreted by SWIG. The
<TT>%{...%}
</TT> syntax and semantics in SWIG
is analogous to that of the declarations section used in input files to
parser generation tools such as yacc or bison.
</P><H3><A name=
"output"></A>5.1.2 SWIG Output
</H3>
<P> The output of SWIG is a C/C++ file that contains all of the wrapper
code needed to build an extension module. SWIG may generate some
additional files depending on the target language. By default, an input
file with the name
<TT>file.i
</TT> is transformed into a file
<TT>file_wrap.c
</TT> or
<TT>file_wrap.cxx
</TT> (depending on whether or not
the
<TT>-c++
</TT> option has been used). The name of the output file
can be changed using the
<TT>-o
</TT> option. In certain cases, file
suffixes are used by the compiler to determine the source language (C,
C++, etc.). Therefore, you have to use the
<TT>-o
</TT> option to change
the suffix of the SWIG-generated wrapper file if you want something
different than the default. For example:
</P>$ swig -c++ -python -o example_wrap.cpp example.i
<P> The C/C++ output file created by SWIG often contains everything that
is needed to construct a extension module for the target scripting
language. SWIG is not a stub compiler nor is it usually necessary to
edit the output file (and if you look at the output, you probably won't
want to). To build the final extension module, the SWIG output file is
compiled and linked with the rest of your C/C++ program to create a
<P> Many target languages will also generate proxy class files in the
target language. The default output directory for these language
specific files is the same directory as the generated C/C++ file. This
can can be modified using the
<TT>-outdir
</TT> option. For example:
</P>$ swig -c++ -python -outdir pyfiles -o cppfiles/example_wrap.cpp example.i
<P> If the directories
<TT>cppfiles
</TT> and
<TT>pyfiles
</TT> exist, the
following will be generated:
</P>cppfiles/example_wrap.cpp
<H3><A name=
"SWIG_nn5"></A>5.1.3 Comments
</H3>
<P> C and C++ style comments may appear anywhere in interface files. In
previous versions of SWIG, comments were used to generate documentation
files. However, this feature is currently under repair and will
reappear in a later SWIG release.
</P><H3><A name=
"SWIG_nn6"></A>5.1.4 C Preprocessor
</H3>
<P> Like C, SWIG preprocesses all input files through an enhanced
version of the C preprocessor. All standard preprocessor features are
supported including file inclusion, conditional compilation and macros.
However,
<TT>#include
</TT> statements are ignored unless the
<TT>-includeall
</TT> command line option has been supplied. The reason for
disabling includes is that SWIG is sometimes used to process raw C
header files. In this case, you usually only want the extension module
to include functions in the supplied header file rather than everything
that might be included by that header file (i.e., system headers, C
library functions, etc.).
</P><P> It should also be noted that the SWIG preprocessor skips all text
enclosed inside a
<TT>%{...%}
</TT> block. In addition, the preprocessor
includes a number of macro handling enhancements that make it more
powerful than the normal C preprocessor. These extensions are described
in the
"<A href=
"#Preprocessor">Preprocessor
</A>" chapter.
</P><H3><A name=
"SWIG_nn7"></A>5.1.5 SWIG Directives
</H3>
<P> Most of SWIG's operation is controlled by special directives that
are always preceded by a
"<TT>%
</TT>" to distinguish them from normal C
declarations. These directives are used to give SWIG hints or to alter
SWIG's parsing behavior in some manner.
</P><P> Since SWIG directives are not legal C syntax, it is generally not
possible to include them in header files. However, SWIG directives can
be included in C header files using conditional compilation like this:
</P>/* header.h --- Some header file */
/* SWIG directives -- only seen if SWIG is running */
<P> <TT>SWIG
</TT> is a special preprocessing symbol defined by SWIG when
it is parsing an input file.
</P><H3><A name=
"SWIG_nn8"></A>5.1.6 Parser Limitations
</H3>
<P> Although SWIG can parse most C/C++ declarations, it does not provide
a complete C/C++ parser implementation. Most of these limitations
pertain to very complicated type declarations and certain advanced C++
features. Specifically, the following features are not currently
<LI>Non-conventional type declarations. For example, SWIG does not
support declarations such as the following (even though this is legal
/* Non-conventional placement of storage specifier (extern) */
/* Extra declarator grouping */
Matrix (foo); // A global variable
/* Extra declarator grouping in parameters */
void bar(Spam (Grok)(Doh));
<P> In practice, few (if any) C programmers actually write code like
this since this style is never featured in programming books. However,
if you're feeling particularly obfuscated, you can certainly break SWIG
(although why would you want to?).
</P><LI>Running SWIG on C++ source files (what would appear in a .C or .cxx
file) is not recommended. Even though SWIG can parse C++ class
declarations, it ignores declarations that are decoupled from their
original class definition (the declarations are parsed, but a lot of
warning messages may be generated). For example:
<DIV class=
"code">/* Not supported by SWIG */
<LI>Certain advanced features of C++ such as nested classes are not yet
supported. Please see the section on using SWIG with C++ for more
<P> In the event of a parsing error, conditional compilation can be used
to skip offending code. For example:
</P>... some bad declarations ...
<P> Alternatively, you can just delete the offending code from the
<P> One of the reasons why SWIG does not provide a full C++ parser
implementation is that it has been designed to work with incomplete
specifications and to be very permissive in its handling of C/C++
datatypes (e.g., SWIG can generate interfaces even when there are
missing class declarations or opaque datatypes). Unfortunately, this
approach makes it extremely difficult to implement certain parts of a
C/C++ parser as most compilers use type information to assist in the
parsing of more complex declarations (for the truly curious, the
primary complication in the implementation is that the SWIG parser does
not utilize a separate
<EM> typedef-name
</EM> terminal symbol as
described on p.
234 of K
&R).
</P><H2><A name=
"SWIG_nn9"></A>5.2 Wrapping Simple C Declarations
</H2>
<P> SWIG wraps simple C declarations by creating an interface that
closely matches the way in which the declarations would be used in a C
program. For example, consider the following interface file:
</P>extern double sin(double x);
extern int strcmp(const char *, const char *);
#define VERSION
"1.1"<P> In this file, there are two functions
<TT>sin()
</TT> and
<TT>
strcmp()
</TT>, a global variable
<TT>Foo
</TT>, and two constants
<TT>STATUS
</TT> and
<TT>VERSION
</TT>. When SWIG creates an extension module,
these declarations are accessible as scripting language functions,
variables, and constants respectively. For example, in Tcl:
</P>>>> example.sin(
3)
>>> example.strcmp('Dave','Mike')
>>> print example.cvar.Foo
>>> print example.STATUS
>>> print example.VERSION
<P> Whenever possible, SWIG creates an interface that closely matches
the underlying C/C++ code. However, due to subtle differences between
languages, run-time environments, and semantics, it is not always
possible to do so. The next few sections describes various aspects of
<H3><A name=
"SWIG_nn10"></A>5.2.1 Basic Type Handling
</H3>
<P> In order to build an interface, SWIG has to convert C/C++ datatypes
to equivalent types in the target language. Generally, scripting
languages provide a more limited set of primitive types than C.
Therefore, this conversion process involves a certain amount of type
<P> Most scripting languages provide a single integer type that is
implemented using the
<TT>int
</TT> or
<TT>long
</TT> datatype in C. The
following list shows all of the C datatypes that SWIG will convert to
and from integers in the target language:
</P><P> When an integral value is converted from C, a cast is used to
convert it to the representation in the target language. Thus, a
16 bit
short in C may be promoted to a
32 bit integer. When integers are
converted in the other direction, the value is cast back into the
original C type. If the value is too large to fit, it is silently
<!-- Dave: Maybe we should fix this -->
<P> <TT>unsigned char
</TT> and
<TT>signed char
</TT> are special cases
that are handled as small
8-bit integers. Normally, the
<TT>char
</TT> datatype is mapped as a one-character ASCII string.
</P><P> The
<TT>bool
</TT> datatype is cast to and from an integer value of
0
and
1 unless the target language provides a special boolean type.
</P><P> Some care is required when working with large integer values. Most
scripting languages use
32-bit integers so mapping a
64-bit long
integer may lead to truncation errors. Similar problems may arise with
32 bit unsigned integers (which may appear as large negative numbers).
As a rule of thumb, the
<TT>int
</TT> datatype and all variations of
<TT>char
</TT> and
<TT>short
</TT> datatypes are safe to use. For
<TT>unsigned
int
</TT> and
<TT>long
</TT> datatypes, you will need to carefully check
the correct operation of your program after it has been wrapped with
<P> Although the SWIG parser supports the
<TT>long long
</TT> datatype,
not all language modules support it. This is because
<TT>long long
</TT> usually exceeds the integer precision available in the target language.
In certain modules such as Tcl and Perl5,
<TT>long long
</TT> integers
are encoded as strings. This allows the full range of these numbers to
be represented. However, it does not allow
<TT>long long
</TT> values to
be used in arithmetic expressions. It should also be noted that
although
<TT>long long
</TT> is part of the ISO C99 standard, it is not
universally supported by all C compilers. Make sure you are using a
compiler that supports
<TT>long long
</TT> before trying to use this
<P> SWIG recognizes the following floating point types :
</P>
<P> Floating point numbers are mapped to and from the natural
representation of floats in the target language. This is almost always
a C
<TT>double
</TT>. The rarely used datatype of
<TT>long double
</TT> is not supported by SWIG.
</P><P> The
<TT>char
</TT> datatype is mapped into a NULL terminated ASCII
string with a single character. When used in a scripting language it
shows up as a tiny string containing the character value. When
converting the value back into C, SWIG takes a character string from
the scripting language and strips off the first character as the char
value. Thus if the value
"foo
" is assigned to a
<TT>char
</TT> datatype,
it gets the value `f'.
</P><P> The
<TT>char *
</TT> datatype is handled as a NULL-terminated ASCII
string. SWIG maps this into a
8-bit character string in the target
scripting language. SWIG converts character strings in the target
language to NULL terminated strings before passing them into C/C++. The
default handling of these strings does not allow them to have embedded
NULL bytes. Therefore, the
<TT>char *
</TT> datatype is not generally
suitable for passing binary data. However, it is possible to change
this behavior by defining a SWIG typemap. See the chapter on
<A href=
"#Typemaps">Typemaps
</A> for details about this.
</P><P> At this time, SWIG does not provide any special support for Unicode
or wide-character strings (the C
<TT>wchar_t
</TT> type). This is a
delicate topic that is poorly understood by many programmers and not
implemented in a consistent manner across languages. For those
scripting languages that provide Unicode support, Unicode strings are
often available in an
8-bit representation such as UTF-
8 that can be
mapped to the
<TT>char *
</TT> type (in which case the SWIG interface
will probably work). If the program you are wrapping uses Unicode,
there is no guarantee that Unicode characters in the target language
will use the same internal representation (e.g., UCS-
2 vs. UCS-
4). You
may need to write some special conversion functions.
</P><H3><A name=
"SWIG_nn11"></A>5.2.2 Global Variables
</H3>
<P> Whenever possible, SWIG maps C/C++ global variables into scripting
language variables. For example,
</P><P> results in a scripting language variable like this:
</P>
set foo [
3.5] ;# Set foo to
3.5puts $foo ;# Print the value of foo
cvar.foo =
3.5 # Set foo to
3.5print cvar.foo # Print value of foo
$foo =
3.5; # Set foo to
3.5print $foo,
"\n
"; # Print value of foo
Module.foo =
3.5 # Set foo to
3.5print Module.foo,
"\n
" # Print value of foo
<P> Whenever the scripting language variable is used, the underlying C
global variable is accessed. Although SWIG makes every attempt to make
global variables work like scripting language variables, it is not
always possible to do so. For instance, in Python, all global variables
must be accessed through a special variable object known as
<TT>cvar
</TT> (shown above). In Ruby, variables are accessed as attributes of the
module. Other languages may convert variables to a pair of accessor
functions. For example, the Java module generates a pair of functions
<TT>double get_foo()
</TT> and
<TT>set_foo(double val)
</TT> that are used to
manipulate the value.
</P><P> Finally, if a global variable has been declared as
<TT>const
</TT>,
it only supports read-only access. Note: this behavior is new to
SWIG-
1.3. Earlier versions of SWIG incorrectly handled
<TT>const
</TT> and created constants instead.
</P><H3><A name=
"SWIG_nn12"></A>5.2.3 Constants
</H3>
<P> Constants can be created using
<TT>#define
</TT>, enumerations, or a
special
<TT>%constant
</TT> directive. The following interface file
shows a few valid constant declarations :
</P>#define I_CONST
5 // An integer constant
#define PI
3.14159 // A Floating point constant
#define S_CONST
"hello world
" // A string constant
#define NEWLINE '\n' // Character constant
enum boolean {NO=
0, YES=
1};
enum months {JAN, FEB, MAR, APR, MAY, JUN, JUL, AUG,
%constant double BLAH =
42.37;
#define F_CONST (double)
5 // A floating pointer constant with cast
#define FLAGS
0x04 |
0x08 |
0x40<P> In
<TT>#define
</TT> declarations, the type of a constant is inferred
by syntax. For example, a number with a decimal point is assumed to be
floating point. In addition, SWIG must be able to fully resolve all of
the symbols used in a
<TT>#define
</TT> in order for a constant to
actually be created. This restriction is necessary because
<TT>#define
</TT> is also used to define preprocessor macros that are definitely not
meant to be part of the scripting language interface. For example:
</P><P> In this case, you probably don't want to create a constant called
<TT>
EXTERN
</TT> (what would the value be?). In general, SWIG will not create
constants for macros unless the value can be completely determined by
the preprocessor. For instance, in the above example, the declaration
</P><P> defines a constant because
<TT>PI
</TT> was already defined as a
constant and the value is known.
</P><P> The use of constant expressions is allowed, but SWIG does not
evaluate them. Rather, it passes them through to the output file and
lets the C compiler perform the final evaluation (SWIG does perform a
limited form of type-checking however).
</P><P> For enumerations, it is critical that the original enum definition
be included somewhere in the interface file (either in a header file or
in the
<TT>%{,%}
</TT> block). SWIG only translates the enumeration into
code needed to add the constants to a scripting language. It needs the
original enumeration declaration in order to get the correct enum
values as assigned by the C compiler.
</P><P> The
<TT>%constant
</TT> directive is used to more precisely create
constants corresponding to different C datatypes. Although it is not
usually not needed for simple values, it is more useful when working
with pointers and other more complex datatypes. Typically,
<TT>%constant
</TT> is only used when you want to add constants to the
scripting language interface that are not defined in the original
<H3><A name=
"SWIG_nn13"></A>5.2.4 A brief word about
<TT>const
</TT></H3>
<P> A common confusion with C programming is the semantic meaning of the
<TT>const
</TT> qualifier in declarations--especially when it is mixed
with pointers and other type modifiers. In fact, previous versions of
SWIG handled
<TT>const
</TT> incorrectly--a situation that SWIG-
1.3.7 and newer releases have fixed.
</P><P> Starting with SWIG-
1.3, all variable declarations, regardless of any
use of
<TT>const
</TT>, are wrapped as global variables. If a
declaration happens to be declared as
<TT>const
</TT>, it is wrapped as
a read-only variable. To tell if a variable is
<TT>const
</TT> or not,
you need to look at the right-most occurrence of the
<TT>const
</TT> qualifier (that appears before the variable name). If the right-most
<TT>const
</TT> occurs after all other type modifiers (such as pointers),
then the variable is
<TT>const
</TT>. Otherwise, it is not.
</P><P> Here are some examples of
<TT>const
</TT> declarations.
</P>
const char a; // A constant character
char const b; // A constant character (the same)
char *const c; // A constant pointer to a character
const char *const d; // A constant pointer to a constant character
<P> Here is an example of a declaration that is not
<TT>const
</TT>:
</P>
const char *e; // A pointer to a constant character. The pointer
<P> In this case, the pointer
<TT>e
</TT> can change---it's only the
value being pointed to that is read-only.
</P><P><B> Compatibility Note:
</B> One reason for changing SWIG to handle
<TT>
const
</TT> declarations as read-only variables is that there are many
situations where the value of a
<TT>const
</TT> variable might change.
For example, a library might export a symbol as
<TT>const
</TT> in its
public API to discourage modification, but still allow the value to
change through some other kind of internal mechanism. Furthermore,
programmers often overlook the fact that with a constant declaration
like
<TT>char *const
</TT>, the underlying data being pointed to can be
modified--it's only the pointer itself that is constant. In an embedded
system, a
<TT>const
</TT> declaration might refer to a read-only memory
address such as the location of a memory-mapped I/O device port (where
the value changes, but writing to the port is not supported by the
hardware). Rather than trying to build a bunch of special cases into
the
<TT>const
</TT> qualifier, the new interpretation of
<TT>const
</TT> as
"read-only
" is simple and exactly matches the actual semantics of
<TT>const
</TT> in C/C++. If you really want to create a constant as in older
versions of SWIG, use the
<TT>%constant
</TT> directive instead. For
%constant double PI =
3.14159;
<H3><A name=
"SWIG_nn14"></A>5.2.5 A cautionary tale of
<TT>char *
</TT></H3>
<P> Before going any further, there is one bit of caution involving
<TT>
char *
</TT> that must now be mentioned. When strings are passed from a
scripting language to a C
<TT>char *
</TT>, the pointer usually points
to string data stored inside the interpreter. It is almost always a
really bad idea to modify this data. Furthermore, some languages may
explicitly disallow it. For instance, in Python, strings are supposed
be immutable. If you violate this, you will probably receive a vast
amount of wrath when you unleash your module on the world.
</P><P> The primary source of problems are functions that might modify
string data in place. A classic example would be a function like this:
</P>char *strcat(char *s, const char *t)
<P> Although SWIG will certainly generate a wrapper for this, its
behavior will be undefined. In fact, it will probably cause your
application to crash with a segmentation fault or other memory related
problem. This is because
<TT>s
</TT> refers to some internal data in the
target language---data that you shouldn't be touching.
</P><P> The bottom line: don't rely on
<TT>char *
</TT> for anything other
than read-only input values. However, it must be noted that you could
change the behavior of SWIG using
<A href=
"#Typemaps">typemaps
</A>.
</P><H2><A name=
"SWIG_nn15"></A>5.3 Pointers and complex objects
</H2>
<P> Most C programs manipulate arrays, structures, and other types of
objects. This section discusses the handling of these datatypes.
</P><H3><A name=
"SWIG_nn16"></A>5.3.1 Simple pointers
</H3>
<P> Pointers to primitive C datatypes such as
</P>
<P> are fully supported by SWIG. Rather than trying to convert the data
being pointed to into a scripting representation, SWIG simply encodes
the pointer itself into a representation that contains the actual value
of the pointer and a type-tag. Thus, the SWIG representation of the
above pointers (in Tcl), might look like this:
</P><P> A NULL pointer is represented by the string
"NULL
" or the value
0
encoded with type information.
</P><P> All pointers are treated as opaque objects by SWIG. Thus, a pointer
may be returned by a function and passed around to other C functions as
needed. For all practical purposes, the scripting language interface
works in exactly the same way as you would use the pointer in a C
program. The only difference is that there is no mechanism for
dereferencing the pointer since this would require the target language
to understand the memory layout of the underlying object.
</P><P> The scripting language representation of a pointer value should
never be manipulated directly. Even though the values shown look like
hexadecimal addresses, the numbers used may differ from the actual
machine address (e.g., on little-endian machines, the digits may appear
in reverse order). Furthermore, SWIG does not normally map pointers
into high-level objects such as associative arrays or lists (for
example, converting an
<TT>int *
</TT> into an list of integers). There
are several reasons why SWIG does not do this:
</P><LI>There is not enough information in a C declaration to properly map
pointers into higher level constructs. For example, an
<TT>int *
</TT> may indeed be an array of integers, but if it contains ten million
elements, converting it into a list object is probably a bad idea.
</LI><LI>The underlying semantics associated with a pointer is not known by
SWIG. For instance, an
<TT>int *
</TT> might not be an array at
all--perhaps it is an output value!
</LI><LI>By handling all pointers in a consistent manner, the implementation
of SWIG is greatly simplified and less prone to error.
</LI><H3><A name=
"SWIG_nn17"></A>5.3.2 Run time pointer type checking
</H3>
<P> By allowing pointers to be manipulated from a scripting language,
extension modules effectively bypass compile-time type checking in the
C/C++ compiler. To prevent errors, a type signature is encoded into all
pointer values and is used to perform run-time type checking. This
type-checking process is an integral part of SWIG and can not be
disabled or modified without using typemaps (described in later
<P> Like C,
<TT>void *
</TT> matches any kind of pointer. Furthermore,
<TT>
NULL
</TT> pointers can be passed to any function that expects to receive
a pointer. Although this has the potential to cause a crash,
<TT>NULL
</TT> pointers are also sometimes used as sentinel values or to denote a
missing/empty value. Therefore, SWIG leaves NULL pointer checking up to
<H3><A name=
"SWIG_nn18"></A>5.3.3 Derived types, structs, and classes
</H3>
<P> For everything else (structs, classes, arrays, etc...) SWIG applies
<CENTER><B> Everything else is a pointer
</B></CENTER>
<P> In other words, SWIG manipulates everything else by reference. This
model makes sense because most C/C++ programs make heavy use of
pointers and SWIG can use the type-checked pointer mechanism already
present for handling pointers to basic datatypes.
</P><P> Although this probably sounds complicated, it's really quite simple.
Suppose you have an interface file like this :
</P>FILE *fopen(char *, char *);
unsigned fread(void *ptr, unsigned size, unsigned nobj, FILE *);
unsigned fwrite(void *ptr, unsigned size, unsigned nobj, FILE *);
void *malloc(int nbytes);
<P> In this file, SWIG doesn't know what a
<TT>FILE
</TT> is, but since
it's used as a pointer, so it doesn't really matter what it is. If you
wrapped this module into Python, you can use the functions just like
def filecopy(source,target):
f1 = fopen(source,
"r
")
f2 = fopen(target,
"w
")
nbytes = fread(buffer,
8192,
1,f1)
nbytes = fread(buffer,
8192,
1,f1)
<P> In this case
<TT>f1
</TT>,
<TT>f2
</TT>, and
<TT>buffer
</TT> are all
opaque objects containing C pointers. It doesn't matter what value they
contain--our program works just fine without this knowledge.
</P><H3><A name=
"SWIG_nn19"></A>5.3.4 Undefined datatypes
</H3>
<P> When SWIG encounters an undeclared datatype, it automatically
assumes that it is a structure or class. For example, suppose the
following function appeared in a SWIG input file:
</P>void matrix_multiply(Matrix *a, Matrix *b, Matrix *c);
<P> SWIG has no idea what a
"<TT>Matrix
</TT>" is. However, it is
obviously a pointer to something so SWIG generates a wrapper using its
generic pointer handling code.
</P><P> Unlike C or C++, SWIG does not actually care whether
<TT>Matrix
</TT>
has been previously defined in the interface file or not. This allows
SWIG to generate interfaces from only partial or limited information.
In some cases, you may not care what a
<TT>Matrix
</TT> really is as
long as you can pass an opaque reference to one around in the scripting
<P> An important detail to mention is that SWIG will gladly generate
wrappers for an interface when there are unspecified type names.
However,
<B> all unspecified types are internally handled as pointers to
structures or classes!
</B> For example, consider the following
<P> If
<TT>size_t
</TT> is undeclared, SWIG generates wrappers that
expect to receive a type of
<TT>size_t *
</TT> (this mapping is
described shortly). As a result, the scripting interface might behave
strangely. For example:
</P>TypeError: expected a _p_size_t.
<P> The only way to fix this problem is to make sure you properly
declare type names using
<TT>typedef
</TT>.
</P><!-- We might want to add an error reporting flag to swig -->
<H3><A name=
"SWIG_nn20"></A>5.3.5 Typedef
</H3>
<P> Like C,
<TT>typedef
</TT> can be used to define new type names in
typedef unsigned int size_t;
<P> <TT>typedef
</TT> definitions appearing in a SWIG interface are not
propagated to the generated wrapper code. Therefore, they either need
to be defined in an included header file or placed in the declarations
/* Include in the generated wrapper file */
typedef unsigned int size_t;
typedef unsigned int size_t;
typedef unsigned int size_t;
<P> In certain cases, you might be able to include other header files to
collect type information. For example:
</P>%import
"sys/types.h
"<P> In this case, you might run SWIG as follows:
</P>
$ swig -I/usr/include -includeall example.i
<P> It should be noted that your mileage will vary greatly here. System
headers are notoriously complicated and may rely upon a variety of
non-standard C coding extensions (e.g., such as special directives to
GCC). Unless you exactly specify the right include directories and
preprocessor symbols, this may not work correctly (you will have to
<P> SWIG tracks
<TT>typedef
</TT> declarations and uses this information
for run-time type checking. For instance, if you use the above
<TT>typedef
</TT> and had the following function declaration:
</P>void foo(unsigned int *ptr);
<P> The corresponding wrapper function will accept arguments of type
<TT>
unsigned int *
</TT> or
<TT>size_t *
</TT>.
</P><H2><A name=
"SWIG_nn21"></A>5.4 Other Practicalities
</H2>
<P> So far, this chapter has presented almost everything you need to
know to use SWIG for simple interfaces. However, some C programs use
idioms that are somewhat more difficult to map to a scripting language
interface. This section describes some of these issues.
</P><H3><A name=
"SWIG_nn22"></A>5.4.1 Passing structures by value
</H3>
<P> Sometimes a C function takes structure parameters that are passed by
value. For example, consider the following function:
</P>double dot_product(Vector a, Vector b);
<P> To deal with this, SWIG transforms the function to use pointers by
creating a wrapper equivalent to the following:
</P>double wrap_dot_product(Vector *a, Vector *b) {
<P> In the target language, the
<TT>dot_product()
</TT> function now
accepts pointers to Vectors instead of Vectors. For the most part, this
transformation is transparent so you might not notice.
</P><H3><A name=
"SWIG_nn23"></A>5.4.2 Return by value
</H3>
<P> C functions that return structures or classes datatypes by value are
more difficult to handle. Consider the following function:
</P>Vector cross_product(Vector v1, Vector v2);
<P> This function wants to return
<TT>Vector
</TT>, but SWIG only really
supports pointers. As a result, SWIG creates a wrapper like this:
</P>Vector *wrap_cross_product(Vector *v1, Vector *v2) {
result = (Vector *) malloc(sizeof(Vector));
<P> or if SWIG was run with the
<TT>-c++
</TT> option:
</P>
Vector *wrap_cross(Vector *v1, Vector *v2) {
Vector *result = new Vector(cross(x,y)); // Uses default copy constructor
<P> In both cases, SWIG allocates a new object and returns a reference
to it. It is up to the user to delete the returned object when it is no
longer in use. Clearly, this will leak memory if you are unaware of the
implicit memory allocation and don't take steps to free the result.
That said, it should be noted that some language modules can now
automatically track newly created objects and reclaim memory for you.
Consult the documentation for each language module for more details.
</P><P> It should also be noted that the handling of pass/return by value in
C++ has some special cases. For example, the above code fragments don't
work correctly if
<TT>Vector
</TT> doesn't define a default constructor.
The section on SWIG and C++ has more information about this case.
</P><H3><A name=
"SWIG_nn24"></A>5.4.3 Linking to structure variables
</H3>
<P> When global variables or class members involving structures are
encountered, SWIG handles them as pointers. For example, a global
<P> gets mapped to an underlying pair of set/get functions like this :
</P>
void unit_i_set(Vector *value) {
<P> Again some caution is in order. A global variable created in this
manner will show up as a pointer in the target scripting language. It
would be an extremely bad idea to free or destroy such a pointer. Also,
C++ classes must supply a properly defined copy constructor in order
for assignment to work correctly.
</P><H3><A name=
"SWIG_nn25"></A>5.4.4 Linking to
<TT>char *
</TT></H3>
<P> When a global variable of type
<TT>char *
</TT> appears, SWIG uses
<TT>
malloc()
</TT> or
<TT>new
</TT> to allocate memory for the new value.
Specifically, if you have a variable like this
</P><P> SWIG generates the following code:
</P>
void foo_set(char *value) {
foo = (char *) malloc(strlen(value)+
1);
/* C++ mode. When -c++ option is used */
void foo_set(char *value) {
foo = new char[strlen(value)+
1];
<P> If this is not the behavior that you want, consider making the
variable read-only using the
<TT>%immutable
</TT> directive.
Alternatively, you might write a short assist-function to set the value
exactly like you want. For example:
</P> void set_foo(char *value) {
<P> Note: If you write an assist function like this, you will have to
call it as a function from the target scripting language (it does not
work like a variable). For example, in Python you will have to write:
</P>>>> set_foo(
"Hello World
")
<P> A common mistake with
<TT>char *
</TT> variables is to link to a
variable declared like this:
</P>char *VERSION =
"1.0";
<P> In this case, the variable will be readable, but any attempt to
change the value results in a segmentation or general protection fault.
This is due to the fact that SWIG is trying to release the old value
using
<TT>free
</TT> or
<TT>delete
</TT> when the string literal value
currently assigned to the variable wasn't allocated using
<TT>malloc()
</TT> or
<TT>new
</TT>. To fix this behavior, you can either mark the variable
as read-only, write a typemap (as described in Chapter
6), or write a
special set function as shown. Another alternative is to declare the
variable as an array:
</P>char VERSION[
64] =
"1.0";
<P> When variables of type
<TT>const char *
</TT> are declared, SWIG
still generates functions for setting and getting the value. However,
the default behavior does
<EM> not
</EM> release the previous contents
(resulting in a possible memory leak). In fact, you may get a warning
message such as this when wrapping such a variable:
</P>example.i:
20. Typemap warning. Setting const char * variable may leak memory
<P> The reason for this behavior is that
<TT>const char *
</TT> variables
are often used to point to string literals. For example:
</P>const char *foo =
"Hello World\n
";
<P> Therefore, it's a really bad idea to call
<TT>free()
</TT> on such a
pointer. On the other hand, it
<EM> is
</EM> legal to change the pointer
to point to some other value. When setting a variable of this type,
SWIG allocates a new string (using malloc or new) and changes the
pointer to point to the new value. However, repeated modifications of
the value will result in a memory leak since the old value is not
<H3><A name=
"SWIG_nn26"></A>5.4.5 Arrays
</H3>
<P> Arrays are fully supported by SWIG, but they are always handled as
pointers instead of mapping them to a special array object or list in
the target language. Thus, the following declarations :
</P>void transpose(double a[
20][
20]);
<P> are processed as if they were really declared like this:
</P>
void transpose(double (*a)[
20]);
<P> Like C, SWIG does not perform array bounds checking. It is up to the
user to make sure the pointer points a suitably allocated region of
<P> Multi-dimensional arrays are transformed into a pointer to an array
of one less dimension. For example:
</P>int [
10]; // Maps to int *
int [
10][
20]; // Maps to int (*)[
20]
int [
10][
20][
30]; // Maps to int (*)[
20][
30]
<P> It is important to note that in the C type system, a
multidimensional array
<TT>a[][]
</TT> is
<B> NOT
</B> equivalent to a
single pointer
<TT>*a
</TT> or a double pointer such as
<TT>**a
</TT>.
Instead, a pointer to an array is used (as shown above) where the
actual value of the pointer is the starting memory location of the
array. The reader is strongly advised to dust off their C book and
re-read the section on arrays before using them with SWIG.
</P><P> Array variables are supported, but are read-only by default. For
<P> In this case, reading the variable 'a' returns a pointer of type
<TT>
int (*)[
200]
</TT> that points to the first element of the array
<TT>&a[
0][
0]
</TT>. Trying to modify 'a' results in an error. This is because
SWIG does not know how to copy data from the target language into the
array. To work around this limitation, you may want to write a few
simple assist functions like this:
</P>void a_set(int i, int j, int val) {
int a_get(int i, int j) {
<P> To dynamically create arrays of various sizes and shapes, it may be
useful to write some helper functions in your interface. For example:
</P> /* Create any sort of [size] array */
int *int_array(int size) {
return (int *) malloc(size*sizeof(int));
/* Create a two-dimension array [size][
10] */
int (*int_array_10(int size))[
10] {
return (int (*)[
10]) malloc(size*
10*sizeof(int));
<P> Arrays of
<TT>char
</TT> are handled as a special case by SWIG. In
this case, strings in the target language can be stored in the array.
For example, if you have a declaration like this,
</P><P> SWIG generates functions for both getting and setting the value that
are equivalent to the following code:
</P>void pathname_set(char *value) {
strncpy(pathname,value,
256);
<P> In the target language, the value can be set like a normal variable.
</P>
<H3><A name=
"SWIG_readonly_variables"></A>5.4.6 Creating read-only
<P> A read-only variable can be created by using the
<TT>%immutable
</TT>
int b,c,d // Read only variables
<P> The
<TT>%immutable
</TT> directive enables read-only mode until it is
explicitly disabled using the
<TT>%mutable
</TT> directive. As an
alternative to turning read-only mode off and on like this, individual
declarations can also be tagged as immutable. For example:
</P>%immutable x; // Make x read-only
double x; // Read-only (from earlier %immutable directive)
<P> The
<TT>%mutable
</TT> and
<TT>%immutable
</TT> directives are
actually
<A href=
"#features">%feature directives
</A> defined like this:
</P>#define %immutable %feature(
"immutable
")
#define %mutable %feature(
"immutable
",
"")
<P> If you wanted to make all wrapped variables read-only, barring one
or two, it might be easier to take this approach:
</P>%immutable; // Make all variables read-only
%feature(
"immutable
",
"0") x; // except, make x read/write
<P> Read-only variables are also created when declarations are declared
as
<TT>const
</TT>. For example:
</P>const int foo; /* Read only variable */
char * const version=
"1.0"; /* Read only variable */
<P><B> Compatibility note:
</B> Read-only access used to be controlled by
a pair of directives
<TT>%readonly
</TT> and
<TT>%readwrite
</TT>.
Although these directives still work, they generate a warning message.
Simply change the directives to
<TT>%immutable;
</TT> and
<TT>%mutable;
</TT> to silence the warning. Don't forget the extra semicolon!
</P><H3><A name=
"SWIG_nn28"></A>5.4.7 Renaming and ignoring declarations
</H3>
<P> Normally, the name of a C declaration is used when that declaration
is wrapped into the target language. However, this may generate a
conflict with a keyword or already existing function in the scripting
language. To resolve a name conflict, you can use the
<TT>%rename
</TT>extern void print(char *);
%rename(foo) a_really_long_and_annoying_name;
extern int a_really_long_and_annoying_name;
<P> SWIG still calls the correct C function, but in this case the
function
<TT>print()
</TT> will really be called
"<TT>my_print()
</TT>" in the target language.
</P><P> The placement of the
<TT>%rename
</TT> directive is arbitrary as long
as it appears before the declarations to be renamed. A common technique
is to write code for wrapping a header file like this:
</P>%rename(foo) a_really_long_and_annoying_name;
%include
"header.h
"<P> <TT>%rename
</TT> applies a renaming operation to all future
occurrences of a name. The renaming applies to functions, variables,
class and structure names, member functions, and member data. For
example, if you had two-dozen C++ classes, all with a member function
named `print' (which is a keyword in Python), you could rename them all
to `output' by specifying :
</P>%rename(output) print; // Rename all `print' functions to `output'
<P> SWIG does not normally perform any checks to see if the functions it
wraps are already defined in the target scripting language. However, if
you are careful about namespaces and your use of modules, you can
usually avoid these problems.
</P><P> Closely related to
<TT>%rename
</TT> is the
<TT>%ignore
</TT>
directive.
<TT>%ignore
</TT> instructs SWIG to ignore declarations that
match a given identifier. For example:
</P>%ignore print; // Ignore all declarations named print
%ignore _HAVE_FOO_H; // Ignore an include guard constant
%include
"foo.h
" // Grab a header file
<P> One use of
<TT>%ignore
</TT> is to selectively remove certain
declarations from a header file without having to add conditional
compilation to the header. However, it should be stressed that this
only works for simple declarations. If you need to remove a whole
section of problematic code, the SWIG preprocessor should be used
<P> More powerful variants of
<TT>%rename
</TT> and
<TT>%ignore
</TT>
directives can be used to help wrap C++ overloaded functions and
methods or C++ methods which use default arguments. This is described
in the
<A href=
"#ambiguity_resolution_renaming">Ambiguity resolution
and renaming
</A> section in the C++ chapter.
</P><P><B> Compatibility note:
</B> Older versions of SWIG provided a special
<TT>%name
</TT> directive for renaming declarations. For example:
</P>
%name(output) extern void print(char *);
<P> This directive is still supported, but it is deprecated and should
probably be avoided. The
<TT>%rename
</TT> directive is more powerful
and better supports wrapping of raw header file information.
</P><H3><A name=
"SWIG_default_args"></A>5.4.8 Default/optional arguments
</H3>
<P> SWIG supports default arguments in both C and C++ code. For example:
</P>
int plot(double x, double y, int color=WHITE);
<P> In this case, SWIG generates wrapper code where the default
arguments are optional in the target language. For example, this
function could be used in Tcl as follows :
</P>% plot -
3.4 7.5 # Use default value
% plot -
3.4 7.5 10 # set color to
10 instead
<P> Although the ANSI C standard does not allow default arguments,
default arguments specified in a SWIG interface work with both C and
<P><B> Note:
</B> There is a subtle semantic issue concerning the use of
default arguments and the SWIG generated wrapper code. When default
arguments are used in C code, the default values are emitted into the
wrappers and the function is invoked with a full set of arguments. This
is different to when wrapping C++ where an overloaded wrapper method is
generated for each defaulted argument. Please refer to the section on
<Ahref=
"#SWIGPlus_default_args">default arguments
</A> in the C++ chapter
<H3><A name=
"SWIG_nn30"></A>5.4.9 Pointers to functions and callbacks
</H3>
<P> Occasionally, a C library may include functions that expect to
receive pointers to functions--possibly to serve as callbacks. SWIG
provides full support for function pointers provided that the callback
functions are defined in C and not in the target language. For example,
consider a function like this:
</P>int binary_op(int a, int b, int (*op)(int,int));
<P> When you first wrap something like this into an extension module,
you may find the function to be impossible to use. For instance, in
>>> def add(x,y):
>>> binary_op(
3,
4,add)
Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
TypeError: Type error. Expected _p_f_int_int__int
<P> The reason for this error is that SWIG doesn't know how to map a
scripting language function into a C callback. However, existing C
functions can be used as arguments provided you install them as
constants. One way to do this is to use the
<TT>%constant
</TT>/* Function with a callback */
int binary_op(int a, int b, int (*op)(int,int));
/* Some callback functions */
%constant int add(int,int);
%constant int sub(int,int);
%constant int mul(int,int);
<P> In this case,
<TT>add
</TT>,
<TT>sub
</TT>, and
<TT>mul
</TT> become
function pointer constants in the target scripting language. This
allows you to use them as follows:
</P>>>> binary_op(
3,
4,add)
>>> binary_op(
3,
4,mul)
<P> Unfortunately, by declaring the callback functions as constants,
they are no longer accesible as functions. For example:
</P>Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
TypeError: object is not callable: '_ff020efc_p_f_int_int__int'
<P> If you want to make a function available as both a callback function
and a function, you can use the
<TT>%callback
</TT> and
<TT>%nocallback
</TT> directives like this:
</P>/* Function with a callback */
int binary_op(int a, int b, int (*op)(int,int));
/* Some callback functions */
%callback(
"%s_cb
")
<P> The argument to
<TT>%callback
</TT> is a printf-style format string
that specifies the naming convention for the callback constants (
<TT>%s
</TT> gets replaced by the function name). The callback mode remains in
effect until it is explicitly disabled using
<TT>%nocallback
</TT>. When
you do this, the interface now works as follows:
</P>>>> binary_op(
3,
4,add_cb)
>>> binary_op(
3,
4,mul_cb)
<P> Notice that when the function is used as a callback, special names
such as
<TT>add_cb
</TT> is used instead. To call the function normally,
just use the original function name such as
<TT>add()
</TT>.
</P><P> SWIG provides a number of extensions to standard C printf formatting
that may be useful in this context. For instance, the following
variation installs the callbacks as all upper-case constants such as
<TT>ADD
</TT>,
<TT>SUB
</TT>, and
<TT>MUL
</TT>:
</P>/* Some callback functions */
%callback(
"%(upper)s
")
<P> A format string of
<TT>"%(lower)s
"</TT> converts all characters to
lower-case. A string of
<TT>"%(title)s
"</TT> capitalizes the first
character and converts the rest to lower case.
</P><P> And now, a final note about function pointer support. Although SWIG
does not normally allow callback functions to be written in the target
language, this can be accomplished with the use of typemaps and other
advanced SWIG features. This is described in a later chapter.
</P><H2><A name=
"SWIG_nn31"></A>5.5 Structures and unions
</H2>
<P> This section describes the behavior of SWIG when processing ANSI C
structures and union declarations. Extensions to handle C++ are
described in the next section.
</P><P> If SWIG encounters the definition of a structure or union, it
creates a set of accessor functions. Although SWIG does not need
structure definitions to build an interface, providing definitions make
it possible to access structure members. The accessor functions
generated by SWIG simply take a pointer to an object and allow access
to an individual member. For example, the declaration :
</P><P> gets transformed into the following set of accessor functions :
</P>
double Vector_x_get(struct Vector *obj) {
double Vector_y_get(struct Vector *obj) {
double Vector_z_get(struct Vector *obj) {
void Vector_x_set(struct Vector *obj, double value) {
void Vector_y_set(struct Vector *obj, double value) {
void Vector_z_set(struct Vector *obj, double value) {
<P> In addition, SWIG creates default constructor and destructor
functions if none are defined in the interface. For example:
</P>struct Vector *new_Vector() {
return (Vector *) calloc(
1,sizeof(struct Vector));
void delete_Vector(struct Vector *obj) {
<P> Using these low-level accessor functions, an object can be minimally
manipulated from the target language using code like this:
</P><P> However, most of SWIG's language modules also provide a high-level
interface that is more convenient. Keep reading.
</P><H3><A name=
"SWIG_nn32"></A>5.5.1 Typedef and structures
</H3>
<P> SWIG supports the following construct which is quite common in C
<P> When encountered, SWIG assumes that the name of the object is
`Vector' and creates accessor functions like before. The only
difference is that the use of
<TT>typedef
</TT> allows SWIG to drop the
<TT>struct
</TT> keyword on its generated code. For example:
</P>double Vector_x_get(Vector *obj) {
<P> If two different names are used like this :
</P>
typedef struct vector_struct {
<P> the name
<TT>Vector
</TT> is used instead of
<TT>vector_struct
</TT>
since this is more typical C programming style. If declarations defined
later in the interface use the type
<TT>struct vector_struct
</TT>, SWIG
knows that this is the same as
<TT>Vector
</TT> and it generates the
appropriate type-checking code.
</P><H3><A name=
"SWIG_nn33"></A>5.5.2 Character strings and structures
</H3>
<P> Structures involving character strings require some care. SWIG
assumes that all members of type
<TT>char *
</TT> have been dynamically
allocated using
<TT>malloc()
</TT> and that they are NULL-terminated
ASCII strings. When such a member is modified, the previously contents
will be released, and the new contents allocated. For example :
</P><P> This results in the following accessor functions :
</P>
char *Foo_name_get(Foo *obj) {
char *Foo_name_set(Foo *obj, char *c) {
if (obj-
>name) free(obj-
>name);
obj-
>name = (char *) malloc(strlen(c)+
1);
<P> If this behavior differs from what you need in your applications,
the SWIG
"memberin
" typemap can be used to change it. See the typemaps
chapter for further details.
</P><P> Note: If the
<TT>-c++
</TT> option is used,
<TT>new
</TT> and
<TT>
delete
</TT> are used to perform memory allocation.
</P><H3><A name=
"SWIG_nn34"></A>5.5.3 Array members
</H3>
<P> Arrays may appear as the members of structures, but they will be
read-only. SWIG will write an accessor function that returns the
pointer to the first element of the array, but will not write a
function to change the contents of the array itself. When this
situation is detected, SWIG may generate a warning message such as the
interface.i:
116. Warning. Array member will be read-only
<P> To eliminate the warning message, typemaps can be used, but this is
discussed in a later chapter. In many cases, the warning message is
<H3><A name=
"SWIG_nn35"></A>5.5.4 Structure data members
</H3>
<P> Occasionally, a structure will contain data members that are
themselves structures. For example:
</P> Foo f; /* struct member */
<P> When a structure member is wrapped, it is always handled as a
pointer. For example:
</P>void Bar_f_set(Bar *b, Foo *value) {
<P> The reasons for this are somewhat subtle but have to do with the
problem of modifying and accessing data inside the data member. For
example, suppose you wanted to modify the value of
<TT>f.x
</TT> of a
<TT>Bar
</TT> object like this:
</P><P> Translating this assignment to function calls (as would be used
inside the scripting language interface) results in the following code:
</P>Foo_x_set(Bar_f_get(b),
37);
<P> In this code, if the
<TT>Bar_f_get()
</TT> function were to return a
<TT>
Foo
</TT> instead of a
<TT>Foo *
</TT>, then the resulting modification
would be applied to a
<EM> copy
</EM> of
<TT>f
</TT> and not the data
member
<TT>f
</TT> itself. Clearly that's not what you want!
</P><P> It should be noted that this transformation to pointers only occurs
if SWIG knows that a data member is a structure or class. For instance,
if you had a structure like this,
</P><P> and nothing was known about
<TT>WORD
</TT>, then SWIG will generate
more normal accessor functions like this:
</P>void Foo_w_set(FOO *f, WORD value) {
<P><B> Compatibility Note:
</B> SWIG-
1.3.11 and earlier releases
transformed all non-primitive member datatypes to pointers. Starting in
SWIG-
1.3.12, this transformation
<EM> only
</EM> occurs if a datatype is
known to be a structure, class, or union. This is unlikely to break
existing code. However, if you need to tell SWIG that an undeclared
datatype is really a struct, simply use a forward struct declaration
such as
<TT>"struct Foo;
"</TT>.
</P><H3><A name=
"SWIG_nn36"></A>5.5.5 C constructors and destructors
</H3>
<P> When wrapping structures, it is generally useful to have a mechanism
for creating and destroying objects. If you don't do anything, SWIG
will automatically generate functions for creating and destroying
objects using
<TT>malloc()
</TT> and
<TT>free()
</TT>. Note: the use of
<TT>malloc()
</TT> only applies when SWIG is used on C code (i.e., when the
<TT>-c++
</TT> option is
<EM> not
</EM> supplied on the command line). C++ is
<P> If you don't want SWIG to generate constructors and destructors, you
can use the
<TT>%nodefault
</TT> directive or the
<TT>-no_default
</TT> command line option. For example:
</P>swig -no_default example.i
%nodefault; // Don't create default constructors/destructors
%makedefault; // Reenable default constructors/destructors
<P> If you need more precise control,
<TT>%nodefault
</TT> can
selectively target individual structure definitions. For example:
</P>%nodefault Foo; // No default constructor/destructors for Foo
struct Foo { // No default generated.
struct Bar { // Default constructor/destructor generated.
<P><B> Compatibility note:
</B> Prior to SWIG-
1.3.7, SWIG did not
generate default constructors or destructors unless you explicitly
turned them on using
<TT>-make_default
</TT>. However, it appears that
most users want to have constructor and destructor functions so it has
now been enabled as the default behavior.
</P><H3><A name=
"SWIG_adding_member_functions"></A>5.5.6 Adding member
functions to C structures
</H3><P> Most languages provide a mechanism for creating classes and
supporting object oriented programming. From a C standpoint, object
oriented programming really just boils down to the process of attaching
functions to structures. These functions normally operate on an
instance of the structure (or object). Although there is a natural
mapping of C++ to such a scheme, there is no direct mechanism for
utilizing it with C code. However, SWIG provides a special
<TT>%extend
</TT> directive that makes it possible to attach methods to C structures for
purposes of building an object oriented interface. Suppose you have a C
header file with the following declaration :
</P><P> You can make a
<TT>Vector
</TT> look alot like a class by writing a
SWIG interface like this:
</P>#include
"vector.h
"%include vector.h // Just grab original C header file
%extend Vector { // Attach these functions to struct Vector
Vector(double x, double y, double z) {
v = (Vector *) malloc(sizeof(Vector));
return sqrt(self-
>x*self-
>x+self-
>y*self-
>y+self-
>z*self-
>z);
printf(
"Vector [%g, %g, %g]\n
", self-
>x,self-
>y,self-
>z);
<P> Now, when used with proxy classes in Python, you can do things like
>>> v = Vector(
3,
4,
0) # Create a new vector
>>> print v.magnitude() # Print magnitude
>>> v.print() # Print it out
>>> del v # Destroy it
<P> The
<TT>%extend
</TT> directive can also be used inside the
definition of the Vector structure. For example:
</P>#include
"vector.h
" Vector(double x, double y, double z) { ... }
<P> Finally,
<TT>%extend
</TT> can be used to access externally written
functions provided they follow the naming convention used in this
#include
"vector.h
"Vector *new_Vector(double x, double y, double z) {
v = (Vector *) malloc(sizeof(Vector));
void delete_Vector(Vector *v) {
double Vector_magnitude(Vector *v) {
return sqrt(v-
>x*v-
>x+v-
>y*v-
>y+v-
>z*v-
>z);
#include
"vector.h
" Vector(int,int,int); // This calls new_Vector()
~Vector(); // This calls delete_Vector()
double magnitude(); // This will call Vector_magnitude()
<P> A little known feature of the
<TT>%extend
</TT> directive is that it
can also be used to add synthesized attributes or to modify the
behavior of existing data attributes. For example, suppose you wanted
to make
<TT>magnitude
</TT> a read-only attribute of
<TT>Vector
</TT> instead of a method. To do this, you might write some code like this:
</P>// Add a new attribute to Vector
// Now supply the implementation of the Vector_magnitude_get function
const double Vector_magnitude_get(Vector *v) {
return (const double) return sqrt(v-
>x*v-
>x+v-
>y*v-
>y+v-
>z*v-
>z);
<P> Now, for all practial purposes,
<TT>magnitude
</TT> will appear like
an attribute of the object.
</P><P> A similar technique can also be used to work with problematic data
members. For example, consider this interface:
</P><P> By default, the
<TT>name
</TT> attribute is read-only because SWIG
does not normally know how to modify arrays. However, you can rewrite
the interface as follows to change this:
</P>// Specific implementation of set/get functions
char *Person_name_get(Person *p) {
void Person_name_set(Person *p, char *val) {
strncpy(p-
>name,val,
50);
<P> Finally, it should be stressed that even though
<TT>%extend
</TT> can
be used to add new data members, these new members can not require the
allocation of additional storage in the object (e.g., their values must
be entirely synthesized from existing attributes of the structure).
</P><P><B> Compatibility note:
</B> The
<TT>%extend
</TT> directive is a new
name for the
<TT>%addmethods
</TT> directive. Since
<TT>%addmethods
</TT> could be used to extend a structure with more than just methods, a more
suitable directive name has been chosen.
</P><H3><A name=
"SWIG_nn38"></A>5.5.7 Nested structures
</H3>
<P> Occasionally, a C program will involve structures like this :
</P>
<P> When SWIG encounters this, it performs a structure splitting
operation that transforms the declaration into the equivalent of the
<P> SWIG will then create an
<TT>Object_intRep
</TT> structure for use
inside the interface file. Accessor functions will be created for both
structures. In this case, functions like this would be created :
</P>Object_intRep *Object_intRep_get(Object *o) {
return (Object_intRep *)
&o-
>intRep;
int Object_intRep_ivalue_get(Object_intRep *o) {
int Object_intRep_ivalue_set(Object_intRep *o, int value) {
return (o-
>ivalue = value);
double Object_intRep_dvalue_get(Object_intRep *o) {
<P> Although this process is a little hairy, it works like you would
expect in the target scripting language--especially when proxy classes
are used. For instance, in Perl:
</P># Perl5 script for accessing nested member
$o = CreateObject(); # Create an object somehow
$o-
>{intRep}-
>{ivalue} =
7 # Change value of o.intRep.ivalue
<P> If you have a lot nested structure declarations, it is advisable to
double-check them after running SWIG. Although, there is a good chance
that they will work, you may have to modify the interface file in
<H3><A name=
"SWIG_nn39"></A>5.5.8 Other things to note about structure
<P> SWIG doesn't care if the declaration of a structure in a
<TT>.i
</TT>
file exactly matches that used in the underlying C code (except in the
case of nested structures). For this reason, there are no problems
omitting problematic members or simply omitting the structure
definition altogether. If you are happy passing pointers around, this
can be done without ever giving SWIG a structure definition.
</P><P> Starting with SWIG1.3, a number of improvements have been made to
SWIG's code generator. Specifically, even though structure access has
been described in terms of high-level accessor functions such as this,
</P>double Vector_x_get(Vector *v) {
<P> most of the generated code is actually inlined directly into wrapper
functions. Therefore, no function
<TT>Vector_x_get()
</TT> actually
exists in the generated wrapper file. For example, when creating a Tcl
module, the following function is generated instead:
</P>_wrap_Vector_x_get(ClientData clientData, Tcl_Interp *interp,
int objc, Tcl_Obj *CONST objv[]) {
if (SWIG_GetArgs(interp, objc, objv,
"p:Vector_x_get self
",
&arg0,
SWIGTYPE_p_Vector) == TCL_ERROR)
result = (double ) (arg1-
>x);
Tcl_SetObjResult(interp,Tcl_NewDoubleObj((double) result));
<P> The only exception to this rule are methods defined with
<TT>%extend
</TT>
. In this case, the added code is contained in a separate function.
</P><P> Finally, it is important to note that most language modules may
choose to build a more advanced interface. Although you may never use
the low-level interface described here, most of SWIG's language modules
use it in some way or another.
</P><H2><A name=
"SWIG_nn40"></A>5.6 Code Insertion
</H2>
<P> Sometimes it is necessary to insert special code into the resulting
wrapper file generated by SWIG. For example, you may want to include
additional C code to perform initialization or other operations. There
are four common ways to insert code, but it's useful to know how the
output of SWIG is structured first.
</P><H3><A name=
"SWIG_nn41"></A>5.6.1 The output of SWIG
</H3>
<P> When SWIG creates its output file, it is broken up into four
sections corresponding to runtime code, headers, wrapper functions, and
module initialization code (in that order).
</P><BR> This code is internal to SWIG and is used to include type-checking
and other support functions that are used by the rest of the module.
</LI><LI><B>Header section
</B>.
<BR> This is user-defined support code that has been included by the
<TT>
%{ ... %}
</TT> directive. Usually this consists of header files and
other helper functions.
</LI><BR> These are the wrappers generated automatically by SWIG.
</LI>
<LI><B>Module initialization
</B>.
<BR> The function generated by SWIG to initialize the module upon
<H3><A name=
"SWIG_nn42"></A>5.6.2 Code insertion blocks
</H3>
<P> Code is inserted into the appropriate code section by using one of
the following code insertion directives:
</P> ... code in runtime section ...
... code in header section ...
... code in wrapper section ...
... code in init section ...
<P> The bare
<TT>%{ ... %}
</TT> directive is a shortcut that is the same
as
<TT>%header %{ ... %}
</TT>.
</P><P> Everything in a code insertion block is copied verbatim into the
output file and is not parsed by SWIG. Most SWIG input files have at
least one such block to include header files and support C code.
Additional code blocks may be placed anywhere in a SWIG file as needed.
</P>#include
"my_header.h
"... Declare functions here
void some_extra_function() {
<P> A common use for code blocks is to write
"helper
" functions. These
are functions that are used specifically for the purpose of building an
interface, but which are generally not visible to the normal C program.
/* Create a new vector */
static Vector *new_Vector() {
return (Vector *) malloc(sizeof(Vector));
<H3><A name=
"SWIG_nn43"></A>5.6.3 Inlined code blocks
</H3>
<P> Since the process of writing helper functions is fairly common,
there is a special inlined form of code block that is used as follows :
</P>/* Create a new vector */
return (Vector *) malloc(sizeof(Vector));
<P> The
<TT>%inline
</TT> directive inserts all of the code that follows
verbatim into the header portion of an interface file. The code is then
parsed by both the SWIG preprocessor and parser. Thus, the above
example creates a new command
<TT>new_Vector
</TT> using only one
declaration. Since the code inside an
<TT>%inline %{ ... %}
</TT> block
is given to both the C compiler and SWIG, it is illegal to include any
SWIG directives inside a
<TT>%{ ... %}
</TT> block.
</P><H3><A name=
"SWIG_nn44"></A>5.6.4 Initialization blocks
</H3>
<P> When code is included in the
<TT>%init
</TT> section, it is copied
directly into the module initialization function. For example, if you
needed to perform some extra initialization on module loading, you
<H2><A name=
"SWIG_nn45"></A>5.7 An Interface Building Strategy
</H2>
<P> This section describes the general approach for building interface
with SWIG. The specifics related to a particular scripting language are
found in later chapters.
</P><H3><A name=
"SWIG_nn46"></A>5.7.1 Preparing a C program for SWIG
</H3>
<P> SWIG doesn't require modifications to your C code, but if you feed
it a collection of raw C header files or source code, the results might
not be what you expect---in fact, they might be awful. Here's a series
of steps you can follow to make an interface for a C program :
</P><LI>Identify the functions that you want to wrap. It's probably not
necessary to access every single function in a C program--thus, a
little forethought can dramatically simplify the resulting scripting
language interface. C header files are particularly good source for
finding things to wrap.
</LI><LI>Create a new interface file to describe the scripting language
interface to your program.
</LI><LI>Copy the appropriate declarations into the interface file or use
SWIG's
<TT>%include
</TT> directive to process an entire C source/header
<LI>Make sure everything in the interface file uses ANSI C/C++syntax.
</LI>
<LI>Make sure all necessary `
<TT>typedef
</TT>' declarations and
type-information is available in the interface file.
</LI><LI>If your program has a main() function, you may need to rename it
<LI>Run SWIG and compile.
</LI>
<P> Although this may sound complicated, the process turns out to be
fairly easy once you get the hang of it.
</P><P> In the process of building an interface, SWIG may encounter syntax
errors or other problems. The best way to deal with this is to simply
copy the offending code into a separate interface file and edit it.
However, the SWIG developers have worked very hard to improve the SWIG
parser--you should report parsing errors to the
<A href=
"http://www.swig.org/mail.html">swig-dev mailing list
</A> or to the
<A href=
"http://www.swig.org/bugs.html">SWIG bug tracker
</A>.
</P><H3><A name=
"SWIG_nn47"></A>5.7.2 The SWIG interface file
</H3>
<P> The preferred method of using SWIG is to generate separate interface
file. Suppose you have the following C header file :
</P>extern double bar(int, int);
extern void dump(FILE *f);
<P> A typical SWIG interface file for this header file would look like
#include
"header.h
"extern double bar(int, int);
extern void dump(FILE *f);
<P> Of course, in this case, our header file is pretty simple so we
could have made an interface file like this as well:
</P><P> Naturally, your mileage may vary.
</P>
<H3><A name=
"SWIG_nn48"></A>5.7.3 Why use separate interface files?
</H3>
<P> Although SWIG can parse many header files, it is more common to
write a special
<TT>.i
</TT> file defining the interface to a package.
There are several reasons why you might want to do this:
</P><LI>It is rarely necessary to access every single function in a large
package. Many C functions might have little or no use in a scripted
environment. Therfore, why wrap them?
</LI><LI>Separate interface files provide an opportunity to provide more
precise rules about how an interface is to be constructed.
</LI><LI>Interface files can provide more structure and organization.
</LI>
<LI>SWIG can't parse certain definitions that appear in header files.
Having a separate file allows you to eliminate or work around these
<LI>Interface files provide a more precise definition of what the
interface is. Users wanting to extend the system can go to the
interface file and immediately see what is available without having to
dig it out of header files.
</LI><H3><A name=
"SWIG_nn49"></A>5.7.4 Getting the right header files
</H3>
<P> Sometimes, it is necessary to use certain header files in order for
the code generated by SWIG to compile properly. Make sure you include
certain header files by using a
<TT>%{,%}
</TT> block like this:
</P>#include
<GL/glu.h
>// Put rest of declarations here
<H3><A name=
"SWIG_nn50"></A>5.7.5 What to do with main()
</H3>
<P> If your program defines a
<TT>main()
</TT> function, you may need to
get rid of it or rename it in order to use a scripting language. Most
scripting languages define their own
<TT>main()
</TT> procedure that is
called instead.
<TT>main()
</TT> also makes no sense when working with
dynamic loading. There are a few approaches to solving the
<TT>main()
</TT><LI>Get rid of
<TT>main()
</TT> entirely.
</LI>
<LI>Rename
<TT>main()
</TT> to something else. You can do this by
compiling your C program with an option like
<TT>-Dmain=oldmain
</TT>.
</LI><LI>Use conditional compilation to only include
<TT>main()
</TT> when not
using a scripting language.
</LI><P> Getting rid of
<TT>main()
</TT> may cause potential initialization
problems of a program. To handle this problem, you may consider writing
a special function called
<TT>program_init()
</TT> that initializes your
program upon startup. This function could then be called either from
the scripting language as the first operation, or when the SWIG
generated module is loaded.
</P><P> As a general note, many C programs only use the
<TT>main()
</TT>
function to parse command line options and to set parameters. However,
by using a scripting language, you are probably trying to create a
program that is more interactive. In many cases, the old
<TT>main()
</TT> program can be completely replaced by a Perl, Python, or Tcl script.
</P><P><B> Note:
</B> If some cases, you might be inclined to create a
scripting language wrapper for
<TT>main()
</TT>. If you do this, the
compilation will probably work and your module might even load
correctly. The only trouble is that when you call your
<TT>main()
</TT> wrapper, you will find that it actually invokes the
<TT>main()
</TT> of
the scripting language interpreter itself! This behavior is a side
effect of the symbol binding mechanism used in the dynamic linker. The
bottom line: don't do this.
</P><H1><A name=
"SWIGPlus"></A>6 SWIG and C++
</H1>
<LI><A href=
"#SWIGPlus_nn2">Comments on C++ Wrapping
</A></LI>
<LI><A href=
"#SWIGPlus_nn3">Approach
</A></LI>
<LI><A href=
"#SWIGPlus_nn4">Supported C++ features
</A></LI>
<LI><A href=
"#SWIGPlus_nn5">Command line options and compilation
</A></LI>
<LI><A href=
"#SWIGPlus_nn6">Simple C++ wrapping
</A>
<LI><A href=
"#SWIGPlus_nn7">Constructors and destructors
</A></LI>
<LI><A href=
"#SWIGPlus_nn8">Default constructors
</A></LI>
<LI><A href=
"#SWIGPlus_nn9">When constructor wrappers aren't created
</A></LI>
<LI><A href=
"#SWIGPlus_nn10">Copy constructors
</A></LI>
<LI><A href=
"#SWIGPlus_nn11">Member functions
</A></LI>
<LI><A href=
"#SWIGPlus_nn12">Static members
</A></LI>
<LI><A href=
"#SWIGPlus_nn13">Member data
</A></LI>
<LI><A href=
"#SWIGPlus_default_args">Default arguments
</A></LI>
<LI><A href=
"#SWIGPlus_nn15">Protection
</A></LI>
<LI><A href=
"#SWIGPlus_nn16">Enums and constants
</A></LI>
<LI><A href=
"#SWIGPlus_nn17">Friends
</A></LI>
<LI><A href=
"#SWIGPlus_nn18">References and pointers
</A></LI>
<LI><A href=
"#SWIGPlus_nn19">Pass and return by value
</A></LI>
<LI><A href=
"#SWIGPlus_nn20">Inheritance
</A></LI>
<LI><A href=
"#SWIGPlus_nn21">A brief discussion of multiple inheritance,
pointers, and type checking
</A></LI><LI><A href=
"#SWIGPlus_nn22">Renaming
</A></LI>
<LI><A href=
"#SWIGPlus_overloaded_methods">Wrapping Overloaded Functions
<LI><A href=
"#SWIGPlus_nn24">Dispatch function generation
</A></LI>
<LI><A href=
"#SWIGPlus_nn25">Ambiguity in Overloading
</A></LI>
<LI><A href=
"#ambiguity_resolution_renaming">Ambiguity resolution and
<LI><A href=
"#SWIGPlus_nn27">Comments on overloading
</A></LI>
<LI><A href=
"#SWIGPlus_nn28">Wrapping overloaded operators
</A></LI>
<LI><A href=
"#SWIGPlus_nn29">Class extension
</A></LI>
<LI><A href=
"#SWIGPlus_nn30">Templates
</A></LI>
<LI><A href=
"#SWIGPlus_nn31">Namespaces
</A></LI>
<LI><A href=
"#SWIGPlus_exception_specifications">Exception
<LI><A href=
"#SWIGPlus_nn33">Pointers to Members
</A></LI>
<LI><A href=
"#SWIGPlus_nn34">Smart pointers and operator-
>()
</A></LI>
<LI><A href=
"#SWIGPlus_nn35">Using declarations and inheritance
</A></LI>
<LI><A href=
"#SWIGPlus_nn36">Partial class definitions
</A></LI>
<LI><A href=
"#SWIGPlus_nn37">A brief rant about const-correctness
</A></LI>
<LI><A href=
"#SWIGPlus_nn38">Proxy classes
</A>
<LI><A href=
"#SWIGPlus_nn39">Construction of proxy classes
</A></LI>
<LI><A href=
"#SWIGPlus_nn40">Resource management in proxies
</A></LI>
<LI><A href=
"#SWIGPlus_nn41">Language specific details
</A></LI>
<LI><A href=
"#SWIGPlus_nn42">Where to go for more information
</A></LI>
<P> This chapter describes SWIG's support for wrapping C++. As a
prerequisite, you should first read the chapter
<A href=
"#SWIG">SWIG
Basics
</A> to see how SWIG wraps ANSI C. Support for C++ builds upon
ANSI C wrapping and that material will be useful in understanding this
<H2><A name=
"SWIGPlus_nn2"></A>6.1 Comments on C++ Wrapping
</H2>
<P> Because of its complexity and the fact that C++ can be difficult to
integrate with itself let alone other languages, SWIG only provides
support for a subset of C++ features. Fortunately, this is now a rather
<P> In part, the problem with C++ wrapping is that there is no
semantically obvious (or automatic ) way to map many of its advanced
features into other languages. As a simple example, consider the
problem of wrapping C++ multiple inheritance to a target language with
no such support. Similarly, the use of overloaded operators and
overloaded functions can be problematic when no such capability exists
in a target language.
</P><P> A more subtle issue with C++ has to do with the way that some C++
programmers think about programming libraries. In the world of SWIG,
you are really trying to create binary-level software components for
use in other languages. In order for this to work, a
"component
" has to
contain real executable instructions and there has to be some kind of
binary linking mechanism for accessing its functionality. In contrast,
C++ has increasingly relied upon generic programming and templates for
much of its functionality. Although templates are a powerful feature,
they are largely orthogonal to the whole notion of binary components
and libraries. For example, an STL
<TT>vector
</TT> does not define any
kind of binary object for which SWIG can just create a wrapper. To
further complicate matters, these libraries often utilize a lot of
behind the scenes magic in which the semantics of seemingly basic
operations (e.g., pointer dereferencing, procedure call, etc.) can be
changed in dramatic and sometimes non-obvious ways. Although this
"magic
" may present few problems in a C++-only universe, it greatly
complicates the problem of crossing language boundaries and provides
many opportunities to shoot yourself in the foot. You will just have to
<H2><A name=
"SWIGPlus_nn3"></A>6.2 Approach
</H2>
<P> To wrap C++, SWIG uses a layered approach to code generation. At the
lowest level, SWIG generates a collection of procedural ANSI-C style
wrappers. These wrappers take care of basic type conversion, type
checking, error handling, and other low-level details of the C++
binding. These wrappers are also sufficient to bind C++ into any target
language that supports built-in procedures. In some sense, you might
view this layer of wrapping as providing a C library interface to C++.
Optionally, SWIG can also generate proxy classes that provide a natural
OO interface to the underlying code. These proxies are built on top of
the low-level procedural wrappers and are typically written in the
target language itself. For instance, in Python, a real Python class is
used to provide a wrapper around the underlying C++ object.
</P><P> It is important to emphasize that SWIG takes a deliberately
conservative and non-intrusive approach to C++ wrapping. SWIG does not
encapsulate C++ classes inside special C++ adaptor or proxy classes, it
does not rely upon templates, nor does it use C++ inheritance when
generating wrappers. The last thing that most C++ programs need is even
more compiler magic. Therefore, SWIG tries to maintain a very strict
and clean separation between the implementation of your C++ application
and the resulting wrapper code. You might say that SWIG has been
written to follow the principle of least surprise--it does not play
sneaky tricks with the C++ type system, it doesn't mess with your class
hierarchies, and it doesn't introduce new semantics. Although this
approach might not provide the most seamless integration with C++, it
is safe, simple, portable, and debuggable.
</P><P> Most of this chapter focuses on the low-level procedural interface
to C++ that is used as the foundation for all language modules. Keep in
mind that most target languages also provide a high-level OO interface
via proxy classes. A few general details about proxies can be found at
the end of this chapter. However, more detailed coverage can be found
in the documentation for each target language.
</P><H2><A name=
"SWIGPlus_nn4"></A>6.3 Supported C++ features
</H2>
<P> SWIG's currently supports the following C++ features :
</P>
<LI>Constructors and destructors
</LI>
<LI>Virtual functions
</LI>
<LI>Public inheritance (including multiple inheritance)
</LI>
<LI>Static functions
</LI>
<LI>Function and method overloading.
</LI>
<LI>Operator overloading for many standard operators
</LI>
<LI>Templates (including specialization and member templates).
</LI>
<LI>Pointers to members
</LI>
<P> The following C++ features are not currently supported :
</P>
<LI>Overloaded versions of certain operators (new, delete, etc.)
</LI>
<P> SWIG's C++ support is an ongoing project so some of these
limitations may be lifted in future releases. However, we make no
promises. Also, submitting a bug report is a very good way to get
problems fixed (wink).
</P><H2><A name=
"SWIGPlus_nn5"></A>6.4 Command line options and compilation
</H2>
<P> When wrapping C++ code, it is critical that SWIG be called with the
`
<TT>-c++
</TT>' option. This changes the way a number of critical
features such as memory management are handled. It also enables the
recognition of C++ keywords. Without the
<TT>-c++
</TT> flag, SWIG will
either issue a warning or a large number of syntax errors if it
encounters C++ code in an interface file.
</P><P> When compiling and linking the resulting wrapper file, it is normal
to use the C++ compiler. For example:
</P>$ swig -c++ -tcl example.i
$ c++ -c example_wrap.cxx
$ c++ example_wrap.o $(OBJS) -o example.so
<P> Unfortunately, the process varies slightly on each machine. Make
sure you refer to the documentation on each target language for further
details. The SWIG Wiki also has further details.
</P><H2><A name=
"SWIGPlus_nn6"></A>6.5 Simple C++ wrapping
</H2>
<P> The following code shows a SWIG interface file for a simple C++
#include
"list.h
"// Very simple C++ example for linked list
static void print(List *l);
<P> To generate wrappers for this class, SWIG first reduces the class to
a collection of low-level C-style accessor functions. The next few
sections describe this process. Later parts of the chapter describe a
higher level interface based on proxy classes.
</P><H3><A name=
"SWIGPlus_nn7"></A>6.5.1 Constructors and destructors
</H3>
<P> C++ constructors and destructors are translated into accessor
functions such as the following :
</P>void delete_List(List *l) {
<H3><A name=
"SWIGPlus_nn8"></A>6.5.2 Default constructors
</H3>
<P> If a C++ class does not define any public constructors or
destructors, SWIG will automatically create a default constructor or
destructor. However, there are a few rules that define this behavior:
</P><LI>A default constructor is not created if a class already defines a
constructor with arguments.
</LI><LI>Default constructors are not generated for classes with pure virtual
methods or for classes that inherit from an abstract class, but don't
provide definitions for all of the pure methods.
</LI><LI>A default constructor is not created unless all bases classes
support a default constructor.
</LI><LI>Default constructors and destructors are not created if a class
defines constructors or destructors in a
<TT>private
</TT> or
<TT>protected
</TT> section.
</LI><LI>Default constructors and destructors are not created if any base
class defines a private default constructor or a private destructor.
</LI><P> SWIG should never generate a constructor or destructor for a class
in which it is illegal to do so. However, if it is necessary to disable
the default constructor/destructor creation, the
<TT>%nodefault
</TT> directive can be used:
</P>%nodefault; // Disable creation of constructor/destructor
<P> <TT>%nodefault
</TT> can also take a class name. For example:
</P>
%nodefault Foo; // Disable for class Foo only.
<P><B> Compatibility Note:
</B> The generation of default
constructors/destructors was made the default behavior in SWIG
1.3.7.
This may break certain older modules, but the old behavior can be
easily restored using
<TT>%nodefault
</TT> or the
<TT>-nodefault
</TT> command line option. Furthermore, in order for SWIG to properly
generate (or not generate) default constructors, it must be able to
gather information from both the
<TT>private
</TT> and
<TT>protected
</TT> sections (specifically, it needs to know if a private or protected
constructor/destructor is defined). In older versions of SWIG, it was
fairly common to simply remove or comment out the private and protected
sections of a class due to parser limitations. However, this removal
may now cause SWIG to erroneously generate constructors for classes
that define a constructor in those sections. Consider restoring those
sections in the interface or using
<TT>%nodefault
</TT> to fix the
<H3><A name=
"SWIGPlus_nn9"></A>6.5.3 When constructor wrappers aren't
<P> If a class defines a constructor, SWIG normally tries to generate a
wrapper for it. However, SWIG will not generate a constructor wrapper
if it thinks that it will result in illegal wrapper code. There are
really two cases where this might show up.
</P><P> First, SWIG won't generate wrappers for protected or private
constructors. For example:
</P><P> Next, SWIG won't generate wrappers for a class if it appears to be
abstract--that is, it has undefined pure virtual methods. Here are some
Bar(); // Not wrapped. Bar is abstract.
virtual void spam(void) =
0;
class Grok : public Bar {
Grok(); // Not wrapped. No implementation of abstract spam().
<P> Some users are surprised (or confused) to find missing constructor
wrappers in their interfaces. In almost all cases, this is caused when
classes are determined to be abstract. To see if this is the case, run
SWIG with all of its warnings turned on:
</P>% swig -Wall -python module.i
<P> In this mode, SWIG will issue a warning for all abstract classes. It
is possible to force a class to be non-abstract using this:
</P>%feature(
"notabstract
") Foo;
Foo(); // Generated no matter what---not abstract.
<P> More information about
<TT>%feature
</TT> can be found in the
<A href=
"#Customization">
Customization features
</A> chapter.
</P><H3><A name=
"SWIGPlus_nn10"></A>6.5.4 Copy constructors
</H3>
<P> If a class defines more than one constructor, its behavior depends
on the capabilities of the target language. If overloading is
supported, the copy constructor is accessible using the normal
constructor function. For example, if you have this:
</P> List(const List
&); // Copy constructor
<P> then the copy constructor can be used as follows:
</P>
x = new_List() # Create a list
y = new_List(x) # Copy list x
<P> If the target language does not support overloading, then the copy
constructor is available through a special function like this:
</P>List *copy_List(List *f) {
<P><B> Note:
</B> For a class
<TT>X
</TT>, SWIG only treats a constructor
as a copy constructor if it can be applied to an object of type
<TT>X
</TT> or
<TT>X *
</TT>. If more than one copy constructor is defined, only the
first definition that appears is used as the copy constructor--other
definitions will result in a name-clash. Constructors such as
<TT>X(const X
&)
</TT>,
<TT>X(X
&)
</TT>, and
<TT>X(X *)
</TT> are handled as
copy constructors in SWIG.
</P><P><B> Note:
</B> SWIG does
<EM> not
</EM> generate a copy constructor
wrapper unless one is explicitly declared in the class. This differs
from the treatment of default constructors and destructors.
</P><P><B> Compatibility note:
</B> Special support for copy constructors was
not added until SWIG-
1.3.12. In previous versions, copy constructors
could be wrapped, but they had to be renamed. For example:
</P> %name(CopyFoo) Foo(const Foo
&);
<P> For backwards compatibility, SWIG does not perform any special
copy-constructor handling if the constructor has been manually renamed.
For instance, in the above example, the name of the constructor is set
to
<TT>new_CopyFoo()
</TT>. This is the same as in older versions.
</P><H3><A name=
"SWIGPlus_nn11"></A>6.5.5 Member functions
</H3>
<P> All member functions are roughly translated into accessor functions
int List_search(List *obj, char *value) {
return obj-
>search(value);
<P> This translation is the same even if the member function has been
declared as
<TT>virtual
</TT>.
</P><P> It should be noted that SWIG does not
<EM> actually
</EM> create a C
accessor function in the code it generates. Instead, member access such
as
<TT>obj-
>search(value)
</TT> is directly inlined into the generated
wrapper functions. However, the name and calling convention of the
wrappers match the accessor function prototype described above.
</P><H3><A name=
"SWIGPlus_nn12"></A>6.5.6 Static members
</H3>
<P> Static member functions are called directly without making any
special transformations. For example, the static member function
<TT>print(List *l)
</TT> directly invokes
<TT>List::print(List *l)
</TT> in
the generated wrapper code.
</P><P> Usually, static members are accessed as functions with names in
which the class name has been prepended with an underscore. For
example,
<TT>List_print
</TT>.
</P><H3><A name=
"SWIGPlus_nn13"></A>6.5.7 Member data
</H3>
<P> Member data is handled in exactly the same manner as for C
structures. A pair of accessor functions are created. For example :
</P>int List_length_get(List *obj) {
int List_length_set(List *obj, int value) {
<P> A read-only member can be created using the
<TT>%immutable
</TT> and
<TT>
%mutable
</TT> directives. For example, we probably wouldn't want the
user to change the length of a list so we could do the following to
make the value available, but read-only.
</P><P> Alternatively, you can specify an immutable member in advance like
int length; // Immutable by above directive
<P> Similarly, all data attributes declared as
<TT>const
</TT> are
wrapped as read-only members.
</P><P> There are some subtle issues when wrapping data members that are
themselves classes. For instance, if you had another class like this,
</P><P> then access to the
<TT>items
</TT> member actually uses pointers. For
List *Foo_items_get(Foo *self) {
return
&self-
>items;
void Foo_items_set(Foo *self, List *value) {
<P> More information about this can be found in the
"Structure data
members
" section of the
<A href=
"#SWIG">SWIG Basics
</A> chapter.
</P><P><B> Compatibility note:
</B> Read-only access used to be controlled by
a pair of directives
<TT>%readonly
</TT> and
<TT>%readwrite
</TT>.
Although these directives still work, they generate a warning message.
Simply change the directives to
<TT>%immutable;
</TT> and
<TT>%mutable;
</TT> to silence the warning. Don't forget the extra semicolon!
</P><P><B> Compatibility note:
</B> Prior to SWIG-
1.3.12, all members of
unknown type were wrapped into accessor functions using pointers. For
example, if you had a structure like this
</P><P> and nothing was known about
<TT>size_t
</TT>, then accessors would be
written to work with
<TT>size_t *
</TT>. Starting in SWIG-
1.3.12, this
behavior has been modified. Specifically, pointers will
<EM> only
</EM> be used if SWIG knows that a datatype corresponds to a structure or
class. Therefore, the above code would be wrapped into accessors
involving
<TT>size_t
</TT>. This change is subtle, but it smooths over a
few problems related to structure wrapping and some of SWIG's
customization features.
</P><H2><A name=
"SWIGPlus_default_args"></A>6.6 Default arguments
</H2>
<P> SWIG will wrap all types of functions that have default arguments.
For example member functions:
</P> void bar(int x, int y =
3, int z =
4);
<P> SWIG handles default arguments by generating an extra overloaded
method for each defaulted argument. SWIG is effectively handling
methods with default arguments as if it had wrapped the equivalent
overloaded methods. Thus for the example above, it is as if we had
instead given the following to SWIG:
</P> void bar(int x, int y, int z);
<P> The wrappers produced are exactly the same as if the above code was
instead fed into SWIG. Details of this is covered later in the
<A href=
"#SWIGPlus_overloaded_methods">Wrapping Overloaded Functions and Methods
</A> section. This approach
allows SWIG to wrap all possible default arguments, but can be verbose.
For example if a method has ten default arguments, then eleven wrapper
methods are generated.
</P><P> Please see the
<A href=
"#Customization_features_default_args">
Features and default arguments
</A> section for more information on using
<TT>%feature
</TT> with functions with default arguments. The
<A href=
"#ambiguity_resolution_renaming">
Ambiguity resolution and renaming
</A> section also deals with using
<TT>%rename
</TT> and
<TT>%ignore
</TT> on methods with default arguments. If
you are writing your own typemaps for types used in methods with
default arguments, you may also need to write a
<TT>typecheck
</TT> typemap. See the
<A href=
"#Typemaps_overloading">Typemaps and
overloading
</A> section for details or otherwise use the
<TT>compactdefaultargs
</TT> feature as mentioned below.
</P><P><B> Compatibility note:
</B> Versions of SWIG prior to SWIG-
1.3.23
wrapped default arguments slightly differently. Instead a single
wrapper method was generated and the default values were copied into
the C++ wrappers so that the method being wrapped was then called with
all the arguments specified. If the size of the wrappers are a concern
then this approach to wrapping methods with default arguments can be
re-activated by using the
<TT>compactdefaultargs
</TT> <A href=
"#features">%feature(
"compactdefaultargs
") Foo::bar;
void bar(int x, int y =
3, int z =
4);
<P> This is great for reducing the size of the wrappers, but the caveat
is it does not work for the strongly typed languages which don't have
optional arguments in the language, such as C# and Java. Another
restriction of this feature is that it cannot handle default arguments
that are not public. The following example illustrates this:
</P> void bar(int x, int y = spam); // Won't work with %feature(
"compactdefaultargs
") -
<P> This produces uncompileable wrapper code because default values in
C++ are evaluated in the same scope as the member function whereas SWIG
evaluates them in the scope of a wrapper function (meaning that the
values have to be public).
</P><P> This feature is automatically turned on when wrapping
<A href=
"#SWIG_default_args">
C code with default arguments
</A> and whenever keyword arguments
(kwargs) are specified for either C or C++ code. Keyword arguments are
a language feature of some scripting languages, for example Ruby and
Python. SWIG is unable to support kwargs when wrapping overloaded
methods, so the default approach cannot be used.
</P><H2><A name=
"SWIGPlus_nn15"></A>6.7 Protection
</H2>
<P> SWIG wraps class members that are public following the C++
conventions, i.e., by explicit public declaration or by the use of the
<TT>using
</TT> directive. In general, anything specified in a private or
protected section will be ignored, although the internal code generator
sometimes looks at the contents of the private and protected sections
so that it can properly generate code for default constructors and
destructors. Directors could also modify the way non-public virtual
protected members are treated.
</P><P> By default, members of a class definition are assumed to be private
until you explicitly give a `
<TT>public:
</TT>' declaration (This is the
same convention used by C++).
</P><H2><A name=
"SWIGPlus_nn16"></A>6.8 Enums and constants
</H2>
<P> Enumerations and constants are handled differently by the different
language modules and are described in detail in the appropriate
language chapter. However, many languages map enums and constants in a
class definition into constants with the classname as a prefix. For
enum {ALE, LAGER, PORTER, STOUT};
<P> Generates the following set of constants in the target scripting
Swig_PORTER = Swig::PORTER
<P> Members declared as
<TT>const
</TT> are wrapped as read-only members
and do not create constants.
</P><H2><A name=
"SWIGPlus_nn17"></A>6.9 Friends
</H2>
<P> Friend declarations are not longer ignored by SWIG. For example, if
friend void blah(Foo *f);
<P> then the
<TT>friend
</TT> declaration does result in a wrapper code
equivalent to one generated for the following declaration
</P><P> A friend declaration, as in C++, is understood to be in the same
scope where the class is declared, hence, you can do
</P>%ignore bar::blah(Foo *f);
friend void blah(Foo *f);
<P> and a wrapper for the method 'blah' will not be generated.
</P>
<H2><A name=
"SWIGPlus_nn18"></A>6.10 References and pointers
</H2>
<P> C++ references are supported, but SWIG transforms them back into
pointers. For example, a declaration like this :
</P> double bar(double
&a);
<P> is accessed using a function similar to this:
</P>
double Foo_bar(Foo *obj, double *a) {
<P> As a special case, most language modules pass
<TT>const
</TT>
references to primitive datatypes (
<TT>int
</TT>,
<TT>short
</TT>,
<TT>float
</TT>, etc.) by value instead of pointers. For example, if you have
a function like this,
</P>void foo(const int
&x);
<P> it is called from a script as follows:
</P>
foo(
3) # Notice pass by value
<P> Functions that return a reference are remapped to return a pointer
instead. For example:
</P><P> Generates code like this:
</P>
Foo *Bar_spam(Bar *obj) {
Foo
&result = obj-
>spam();
<P> However, functions that return
<TT>const
</TT> references to
primitive datatypes (
<TT>int
</TT>,
<TT>short
</TT>, etc.) normally
return the result as a value rather than a pointer. For example, a
<P> will return integers such as
37 or
42 in the target scripting
language rather than a pointer to an integer.
</P><P> Don't return references to objects allocated as local variables on
the stack. SWIG doesn't make a copy of the objects so this will
probably cause your program to crash.
</P><P><B> Note:
</B> The special treatment for references to primitive
datatypes is necessary to provide more seamless integration with more
advanced C++ wrapping applications---especially related to templates
and the STL. This was first added in SWIG-
1.3.12.
</P><H2><A name=
"SWIGPlus_nn19"></A>6.11 Pass and return by value
</H2>
<P> Occasionally, a C++ program will pass and return class objects by
value. For example, a function like this might appear:
</P>Vector cross_product(Vector a, Vector b);
<P> If no information is supplied about
<TT>Vector
</TT>, SWIG creates a
wrapper function similar to the following:
</P>Vector *wrap_cross_product(Vector *a, Vector *b) {
Vector r = cross_product(x,y);
<P> In order for the wrapper code to compile,
<TT>Vector
</TT> must
define a copy constructor and a default constructor.
</P><P> If
<TT>Vector
</TT> is defined as class in the interface, but it does
not support a default constructor, SWIG changes the wrapper code by
encapsulating the arguments inside a special C++ template wrapper
class. This produces a wrapper that looks like this:
</P>Vector cross_product(Vector *a, Vector *b) {
SwigValueWrapper
<Vector
> x = *a;
SwigValueWrapper
<Vector
> y = *b;
SwigValueWrapper
<Vector
> r = cross_product(x,y);
<P> This transformation is a little sneaky, but it provides support for
pass-by-value even when a class does not provide a default constructor
and it makes it possible to properly support a number of SWIG's
customization options. The definition of
<TT>SwigValueWrapper
</TT> can
be found by reading the SWIG wrapper code. This class is really nothing
more than a thin wrapper around a pointer.
</P><P><B> Note:
</B> this transformation has no effect on typemaps or any
other part of SWIG---it should be transparent except that you may see
this code when reading the SWIG output file.
</P><P><B> Note:
</B> This template transformation is new in SWIG-
1.3.11 and
may be refined in future SWIG releases. In practice, it is only
necessary to do this for classes that don't define a default
<P><B> Note:
</B> The use of this template only occurs when objects are
passed or returned by value. It is not used for C++ pointers or
<P><B> Note:
</B> The performance of pass-by-value is especially bad for
large objects and should be avoided if possible (consider using
<H2><A name=
"SWIGPlus_nn20"></A>6.12 Inheritance
</H2>
<P> SWIG supports C++ inheritance of classes and allows both single and
multiple inheritance, as limited or allowed by the target language. The
SWIG type-checker knows about the relationship between base and derived
classes and allows pointers to any object of a derived class to be used
in functions of a base class. The type-checker properly casts pointer
values and is safe to use with multiple inheritance.
</P><P> SWIG treats private or protected inheritance as close to the C++
spirit, and target language capabilities, as possible. In most of the
cases, this means that swig will parse the non-public inheritance
declarations, but that will have no effect in the generated code,
besides the implicit policies derived for constructor and destructors.
</P><P> The following example shows how SWIG handles inheritance. For
clarity, the full C++ code has been omitted.
</P>#include
"shapes.h
" virtual double area() =
0;
virtual double perimeter() =
0;
void set_location(double x, double y);
class Circle : public Shape {
class Square : public Shape {
<P> When wrapped into Python, we can now perform the following
>>> import shapes
>>> circle = shapes.new_Circle(
7)
>>> square = shapes.new_Square(
10)
>>> print shapes.Circle_area(circle)
>>> print shapes.Shape_area(circle)
>>> print shapes.Shape_area(square)
>>> shapes.Shape_set_location(square,
2,-
3)
>>> print shapes.Shape_perimeter(square)
<P> In this example, Circle and Square objects have been created. Member
functions can be invoked on each object by making calls to
<TT>Circle_area
</TT>,
<TT>Square_area
</TT>, and so on. However, the same
results can be accomplished by simply using the
<TT>Shape_area
</TT> function on either object.
</P><P> One important point concerning inheritance is that the low-level
accessor functions are only generated for classes in which they are
actually declared. For instance, in the above example, the method
<TT>set_location()
</TT> is only accessible as
<TT>Shape_set_location()
</TT> and not as
<TT>Circle_set_location()
</TT> or
<TT>Square_set_location()
</TT>. Of course, the
<TT>Shape_set_location()
</TT> function will accept any
kind of object derived from Shape. Similarly, accessor functions for
the attributes
<TT>x
</TT> and
<TT>y
</TT> are generated as
<TT>Shape_x_get()
</TT>,
<TT>Shape_x_set()
</TT>,
<TT>Shape_y_get()
</TT>, and
<TT>Shape_y_set()
</TT>. Functions such as
<TT>Circle_x_get()
</TT> are not
available--instead you should use
<TT>Shape_x_get()
</TT>.
</P><P> Although the low-level C-like interface is functional, most language
modules also produce a higher level OO interface using proxy classes.
This approach is described later and can be used to provide a more
natural C++ interface.
</P><P><B> Note:
</B> For the best results, SWIG requires all base classes to
be defined in an interface. Otherwise, you may get an warning message
example:
18. Nothing known about class 'Foo'. Ignored.
<P> If any base class is undefined, SWIG still generates correct type
relationships. For instance, a function accepting a
<TT>Foo *
</TT> will
accept any object derived from
<TT>Foo
</TT> regardless of whether or
not SWIG actually wrapped the
<TT>Foo
</TT> class. If you really don't
want to generate wrappers for the base class, but you want to silence
the warning, you might consider using the
<TT>%import
</TT> directive to
include the file that defines
<TT>Foo
</TT>.
<TT>%import
</TT> simply
gathers type information, but doesn't generate wrappers. Alternatively,
you could just define
<TT>Foo
</TT> as an empty class in the SWIG
<P><B> Note:
</B> <TT>typedef
</TT>-names
<EM> can
</EM> be used as base
classes. For example:
</P>class Bar : public FooObj { // Ok. Base class is Foo
<P> Similarly,
<TT>typedef
</TT> allows unnamed structures to be used as
base classes. For example:
</P>class Bar : public Foo { // Ok.
<P><B> Compatibility Note:
</B> Starting in version
1.3.7, SWIG only
generates low-level accessor wrappers for the declarations that are
actually defined in each class. This differs from SWIG1.1 which used to
inherit all of the declarations defined in base classes and regenerate
specialized accessor functions such as
<TT>Circle_x_get()
</TT>,
<TT>Square_x_get()
</TT>,
<TT>Circle_set_location()
</TT>, and
<TT>Square_set_location()
</TT>. This behavior resulted in huge amounts of
replicated code for large class hierarchies and made it awkward to
build applications spread across multiple modules (since accessor
functions are duplicated in every single module). It is also
unnecessary to have such wrappers when advanced features like proxy
classes are used.
<B> Note:
</B> Further optimizations are enabled when
using the
<TT>-fvirtual
</TT> option, which avoids the regenerating of
wrapper functions for virtual members that are already defined in a
<H2><A name=
"SWIGPlus_nn21"></A>6.13 A brief discussion of multiple
inheritance, pointers, and type checking
</H2><P> When a target scripting language refers to a C++ object, it normally
uses a tagged pointer object that contains both the value of the
pointer and a type string. For example, in Tcl, a C++ pointer might be
encoded as a string like this:
</P><P> A somewhat common question is whether or not the type-tag could be
safely removed from the pointer. For instance, to get better
performance, could you strip all type tags and just use simple integers
<P> In general, the answer to this question is no. In the wrappers, all
pointers are converted into a common data representation in the target
language. Typically this is the equivalent of casting a pointer to
<TT>void *
</TT>. This means that any C++ type information associated with
the pointer is lost in the conversion.
</P><P> The problem with losing type information is that it is needed to
properly support many advanced C++ features--especially multiple
inheritance. For example, suppose you had code like this:
</P>class C : public A, public B {
<P> Now, consider the following code that uses
<TT>void *
</TT>.
</P>
int x = A_function((A *) p);
int y = B_function((B *) p);
<P> In this code, both
<TT>A_function()
</TT> and
<TT>B_function()
</TT>
may legally accept an object of type
<TT>C *
</TT> (via inheritance).
However, one of the functions will always return the wrong result when
used as shown. The reason for this is that even though
<TT>p
</TT> points to an object of type
<TT>C
</TT>, the casting operation doesn't
work like you would expect. Internally, this has to do with the data
representation of
<TT>C
</TT>. With multiple inheritance, the data from
each base class is stacked together. For example:
</P> ------------
<--- (C *), (A *)
|------------|
<--- (B *)
<P> Because of this stacking, a pointer of type
<TT>C *
</TT> may change
value when it is converted to a
<TT>A *
</TT> or
<TT>B *
</TT>. However,
this adjustment does
<EM> not
</EM> occur if you are converting from a
<TT><P> The use of type tags marks all pointers with the real type of the
underlying object. This extra information is then used by SWIG
generated wrappers to correctly cast pointer values under inheritance
(avoiding the above problem).
</P><P> One might be inclined to fix this problem using some variation of
<TT>
dynamic_cast
<></TT>. The only problem is that it doesn't work with
<TT>void
</TT> pointers, it requires RTTI support, and it only works with
polymorphic classes (i.e., classes that define one or more virtual
<P> The bottom line: learn to live with type-tagged pointers.
</P>
<H2><A name=
"SWIGPlus_nn22"></A>6.14 Renaming
</H2>
<P> C++ member functions and data can be renamed with the
<TT>%name
</TT>
directive. The
<TT>%name
</TT> directive only replaces the member
function name. For example :
</P>%name(ListSize) List(int maxsize);
%name(find) void insert(char *);
%name(delete) void remove(char *);
static void print(List *l);
<P> This will create the functions
<TT>List_find
</TT>,
<TT>List_delete
</TT>
, and a function named
<TT>new_ListSize
</TT> for the overloaded
<P> The
<TT>%name
</TT> directive can be applied to all members including
constructors, destructors, static functions, data members, and
<P> The class name prefix can also be changed by specifying
</P>
%name(newname) class List {
<P> Although the
<TT>%name()
</TT> directive can be used to help deal
with overloaded methods, it really doesn't work very well because it
requires a lot of additional markup in your interface. Keep reading for
<H2><A name=
"SWIGPlus_overloaded_methods"></A>6.15 Wrapping Overloaded
Functions and Methods
</H2><P> In many language modules, SWIG provides partial support for
overloaded functions, methods, and constructors. For example, if you
supply SWIG with overloaded functions like this:
</P> printf(
"x is %d\n
", x);
printf(
"x is '%s'\n
", x);
<P> The function is used in a completely natural way. For example:
</P>
>>> foo(
"hello
")
<P> Overloading works in a similar manner for methods and constructors.
For example if you have this code,
</P> Foo(const Foo
&); // Copy constructor
void bar(char *s, int y);
<P> it might be used like this
</P>
>>> f = Foo() # Create a Foo
>>> g = Foo(f) # Copy Foo
>>> f.bar(
"hello
",
2)
<H3><A name=
"SWIGPlus_nn24"></A>6.15.1 Dispatch function generation
</H3>
<P> The implementation of overloaded functions and methods is somewhat
complicated due to the dynamic nature of scripting languages. Unlike
C++, which binds overloaded methods at compile time, SWIG must
determine the proper function as a runtime check for scripting language
targets. This check is further complicated by the typeless nature of
certain scripting languages. For instance, in Tcl, all types are simply
strings. Therefore, if you have two overloaded functions like this,
</P><P> the order in which the arguments are checked plays a rather critical
<P> For statically typed languages, SWIG uses the language's method
overloading mechanism. To implement overloading for the scripting
languages, SWIG generates a dispatch function that checks the number of
passed arguments and their types. To create this function, SWIG first
examines all of the overloaded methods and ranks them according to the
<LI><B>Number of required arguments.
</B> Methods are sorted by
increasing number of required arguments.
</LI><P><B>Argument type precedence.
</B> All C++ datatypes are assigned a
numeric type precedence value (which is determined by the language
---------------- ----------
<P> Using these precedence values, overloaded methods with the same
number of required arguments are sorted in increased order of
<P> This may sound very confusing, but an example will help. Consider
the following collection of overloaded methods:
</P>void foo(int x, int y, int z, int w);
void foo(int x, int y, int z =
3);
void foo(double x, double y);
void foo(double x, Bar *z);
<P> The first rule simply ranks the functions by required argument
count. This would produce the following list:
</P>[
4] foo(int x, int y, int z =
3);
[
5] foo(double x, double y)
[
6] foo(double x, Bar *z)
[
7] foo(int x, int y, int z, int w);
<P> The second rule, simply refines the ranking by looking at argument
type precedence values.
</P>[
4] foo(int x, int y, int z =
3);
[
5] foo(double x, Bar *z)
[
6] foo(double x, double y)
[
7] foo(int x, int y, int z, int w);
<P> Finally, to generate the dispatch function, the arguments passed to
an overloaded method are simply checked in the same order as they
appear in this ranking.
</P><P> If you're still confused, don't worry about it---SWIG is probably
doing the right thing.
</P><H3><A name=
"SWIGPlus_nn25"></A>6.15.2 Ambiguity in Overloading
</H3>
<P> Regrettably, SWIG is not able to support every possible use of valid
C++ overloading. Consider the following example:
</P><P> In C++, this is perfectly legal. However, in a scripting language,
there is generally only one kind of integer object. Therefore, which
one of these functions do you pick? Clearly, there is no way to truly
make a distinction just by looking at the value of the integer itself (
<TT>int
</TT> and
<TT>long
</TT> may even be the same precision). Therefore,
when SWIG encounters this situation, it may generate a warning message
like this for scripting languages:
</P>example.i:
4: Warning(
509): Overloaded foo(long) is shadowed by foo(int) at example.i:
3.
<P> or for statically typed languages like Java:
</P>
example.i:
4: Warning(
516): Overloaded method foo(long) ignored. Method foo(int)
<P> This means that the second overloaded function will be inaccessible
from a scripting interface or the method won't be wrapped at all. This
is done as SWIG does not know how to disambiguate it from an earlier
<P> Ambiguity problems are known to arise in the following situations:
</P>
<LI>Integer conversions. Datatypes such as
<TT>int
</TT>,
<TT>long
</TT>,
and
<TT>short
</TT> cannot be disambiguated in some languages. Shown
<LI>Floating point conversion.
<TT>float
</TT> and
<TT>double
</TT> can
not be disambiguated in some languages.
</LI><LI>Pointers and references. For example,
<TT>Foo *
</TT> and
<TT>Foo
&</TT>
<LI>Pointers and arrays. For example,
<TT>Foo *
</TT> and
<TT>Foo [
4]
</TT>
<LI>Pointers and instances. For example,
<TT>Foo
</TT> and
<TT>Foo *
</TT>
. Note: SWIG converts all instances to pointers.
</LI><LI>Qualifiers. For example,
<TT>const Foo *
</TT> and
<TT>Foo *
</TT>.
</LI>
<LI>Default vs. non default arguments. For example,
<TT>foo(int a, int
b)
</TT> and
<TT>foo(int a, int b =
3)
</TT>.
</LI><P> When an ambiguity arises, methods are checked in the same order as
they appear in the interface file. Therefore, earlier methods will
shadow methods that appear later.
</P><P> When wrapping an overloaded function, there is a chance that you
will get an error message like this:
</P>example.i:
3: Warning(
467): Overloaded foo(int) not supported (no type checking
<P> This error means that the target language module supports
overloading, but for some reason there is no type-checking rule that
can be used to generate a working dispatch function. The resulting
behavior is then undefined. You should report this as a bug to the
<A href=
"http://www.swig.org/bugs.html">SWIG bug tracking database
</A>.
</P><P> If you get an error message such as the following,
</P>
foo.i:
6. Overloaded declaration ignored. Spam::foo(double )
foo.i:
5. Previous declaration is Spam::foo(int )
foo.i:
7. Overloaded declaration ignored. Spam::foo(Bar *,Spam *,int )
foo.i:
5. Previous declaration is Spam::foo(int )
<P> it means that the target language module has not yet implemented
support for overloaded functions and methods. The only way to fix the
problem is to read the next section.
</P><H3><A name=
"ambiguity_resolution_renaming"></A>6.15.3 Ambiguity
resolution and renaming
</H3><P> If an ambiguity in overload resolution occurs or if a module doesn't
allow overloading, there are a few strategies for dealing with the
problem. First, you can tell SWIG to ignore one of the methods. This is
easy---simply use the
<TT>%ignore
</TT> directive. For example:
</P>void foo(long); // Ignored. Oh well.
<P> The other alternative is to rename one of the methods. This can be
done using
<TT>%rename
</TT>. For example:
</P>%rename(foo_long) foo(long);
void foo(long); // Accessed as foo_long()
<P> The
<TT>%ignore
</TT> and
<TT>%rename
</TT> directives are both rather
powerful in their ability to match declarations. When used in their
simple form, they apply to both global functions and methods. For
/* Forward renaming declarations */
%rename(foo_d) foo(double);
void foo(int); // Becomes 'foo_i'
void foo(char *c); // Stays 'foo' (not renamed)
void foo(int); // Becomes 'foo_i'
void foo(double); // Becomes 'foo_d'
<P> If you only want the renaming to apply to a certain scope, the C++
scope resolution operator (::) can be used. For example:
</P>%rename(foo_i) ::foo(int); // Only rename foo(int) in the global scope.
// (will not rename class members)
%rename(foo_i) Spam::foo(int); // Only rename foo(int) in class Spam
<P> When a renaming operator is applied to a class as in
<TT>
Spam::foo(int)
</TT>, it is applied to that class and all derived
classes. This can be used to apply a consistent renaming across an
entire class hierarchy with only a few declarations. For example:
</P>%rename(foo_i) Spam::foo(int);
%rename(foo_d) Spam::foo(double);
virtual void foo(int); // Renamed to foo_i
virtual void foo(double); // Renamed to foo_d
class Bar : public Spam {
virtual void foo(int); // Renamed to foo_i
virtual void foo(double); // Renamed to foo_d
class Grok : public Bar {
virtual void foo(int); // Renamed to foo_i
virtual void foo(double); // Renamed to foo_d
<P> It is also possible to include
<TT>%rename
</TT> specifications in
the class definition itself. For example:
</P> %rename(foo_d) foo(double);
virtual void foo(int); // Renamed to foo_i
virtual void foo(double); // Renamed to foo_d
class Bar : public Spam {
virtual void foo(int); // Renamed to foo_i
virtual void foo(double); // Renamed to foo_d
<P> In this case, the
<TT>%rename
</TT> directives still get applied
across the entire inheritance hierarchy, but it's no longer necessary
to explicitly specify the class prefix
<TT>Spam::
</TT>.
</P><P> A special form of
<TT>%rename
</TT> can be used to apply a renaming
just to class members (of all classes):
</P>%rename(foo_i) *::foo(int); // Only rename foo(int) if it appears in a class.
<P> Note: the
<TT>*::
</TT> syntax is non-standard C++, but the '*' is
meant to be a wildcard that matches any class name (we couldn't think
of a better alternative so if you have a better idea, send email to the
<A href=
"http://www.swig.org/mail.html">swig-dev mailing list
</A>.
</P>
<P> Although this discussion has primarily focused on
<TT>%rename
</TT>
all of the same rules also apply to
<TT>%ignore
</TT>. For example:
</P>%ignore foo(double); // Ignore all foo(double)
%ignore Spam::foo; // Ignore foo in class Spam
%ignore Spam::foo(double); // Ignore foo(double) in class Spam
%ignore *::foo(double); // Ignore foo(double) in all classes
<P> When applied to a base class,
<TT>%ignore
</TT> forces all
definitions in derived clases to disappear. For example,
<TT>%ignore
Spam::foo(double)
</TT> will eliminate
<TT>foo(double)
</TT> in
<TT>Spam
</TT> and all classes derived from
<TT>Spam
</TT>.
</P><P><B> Notes on %rename and %ignore:
</B></P>
<P>Since, the
<TT>%rename
</TT> declaration is used to declare a renaming
in advance, it can be placed at the start of an interface file. This
makes it possible to apply a consistent name resolution without having
to modify header files. For example:
</P>/* Rename these overloaded functions */
%rename(foo_d) foo(double);
%include
"header.h
"<P>The scope qualifier (::) can also be used on simple names. For
%rename(bar) ::foo; // Rename foo to bar in global scope only
%rename(bar) Spam::foo; // Rename foo to bar in class Spam only
%rename(bar) *::foo; // Rename foo in classes only
<P>Name matching tries to find the most specific match that is defined.
A qualified name such as
<TT>Spam::foo
</TT> always has higher
precedence than an unqualified name
<TT>foo
</TT>.
<TT>Spam::foo
</TT> has higher precedence than
<TT>*::foo
</TT> and
<TT>*::foo
</TT> has
higher precedence than
<TT>foo
</TT>. A parameterized name has higher
precedence than an unparameterized name within the same scope level.
However, an unparameterized name with a scope qualifier has higher
precedence than a parameterized name in global scope (e.g., a renaming
of
<TT>Spam::foo
</TT> takes precedence over a renaming of
<TT>foo(int)
</TT><P> The order in which
<TT>%rename
</TT> directives are defined does not
matter as long as they appear before the declarations to be renamed.
Thus, there is no difference between saying:
</P>%rename(foo_i) Spam::foo(int);
%rename(foo_i) Spam::foo(int);
<P> (the declarations are not stored in a linked list and order has no
importance). Of course, a repeated
<TT>%rename
</TT> directive will
change the setting for a previous
<TT>%rename
</TT> directive if exactly
the same name, scope, and parameters are supplied.
</P><LI>For multiple inheritance where renaming rules are defined for
multiple base classes, the first renaming rule found on a depth-first
traversal of the class hierarchy is used.
</LI><P>The name matching rules strictly follow member qualification rules.
For example, if you have a class like this:
</P>%rename(name) Spam::bar();
<P> will not apply as there is no unqualified member
<TT>bar()
</TT>. The
following will apply as the qualifier matches correctly:
</P>%rename(name) Spam::bar() const;
<P> An often overlooked C++ feature is that classes can define two
different overloaded members that differ only in their qualifiers, like
void bar(); // Unqualified member
void bar() const; // Qualified member
<P> %rename can then be used to target each of the overloaded methods
individually. For example we can give them separate names in the target
%rename(name1) Spam::bar();
%rename(name2) Spam::bar() const;
<P> Similarly, if you merely wanted to ignore one of the declarations,
use
<TT>%ignore
</TT> with the full qualification. For example, the
following directive would tell SWIG to ignore the
<TT>const
</TT> version of
<TT>bar()
</TT> above:
</P>%ignore Spam::bar() const; // Ignore bar() const, but leave other bar() alone
<P> The name matching rules also use default arguments for finer control
when wrapping methods that have default arguments. Recall that methods
with default arguments are wrapped as if the equivalent overloaded
methods had been parsed (
<A href=
"#SWIGPlus_default_args">Default
arguments
</A> section). Let's consider the following example class:
</P> void bar(int i=-
1, double d=
0.0);
<P> The following
<TT>%rename
</TT> will match exactly and apply to all
the target language overloaded methods because the declaration with the
default arguments exactly matches the wrapped method:
</P>%rename(newbar) Spam::bar(int i=-
1, double d=
0.0);
<P> The C++ method can then be called from the target language with the
new name no matter how many arguments are specified, for example:
<TT>newbar(
2,
2.0)
</TT>,
<TT>newbar(
2)
</TT> or
<TT>newbar()
</TT>. However,
if the
<TT>%rename
</TT> does not contain the default arguments, it will
only apply to the single equivalent target language overloaded method.
So if instead we have:
</P>%rename(newbar) Spam::bar(int i, double d);
<P> The C++ method must then be called from the target language with the
new name
<TT>newbar(
2,
2.0)
</TT> when both arguments are supplied or
with the original name as
<TT>bar(
2)
</TT> (one argument) or
<TT>bar()
</TT> (no arguments). In fact it is possible to use
<TT>%rename
</TT> on the
equivalent overloaded methods, to rename all the equivalent overloaded
%rename(bar_2args) Spam::bar(int i, double d);
%rename(bar_1arg) Spam::bar(int i);
%rename(bar_default) Spam::bar();
<P> Similarly, the extra overloaded methods can be selectively ignored
using
<TT>%ignore
</TT>.
</P><P><B> Compatibility note:
</B> The
<TT>%rename
</TT> directive introduced
the default argument matching rules in SWIG-
1.3.23 at the same time as
the changes to wrapping methods with default arguments was introduced.
</P><H3><A name=
"SWIGPlus_nn27"></A>6.15.4 Comments on overloading
</H3>
<P> Support for overloaded methods was first added in SWIG-
1.3.14. The
implementation is somewhat unusual when compared to similar tools. For
instance, the order in which declarations appear is largely irrelevant
in SWIG. Furthermore, SWIG does not rely upon trial execution or
exception handling to figure out which method to invoke.
</P><P> Internally, the overloading mechanism is completely configurable by
the target language module. Therefore, the degree of overloading
support may vary from language to language. As a general rule,
statically typed languages like Java are able to provide more support
than dynamically typed languages like Perl, Python, Ruby, and Tcl.
</P><H2><A name=
"SWIGPlus_nn28"></A>6.16 Wrapping overloaded operators
</H2>
<P> Starting in SWIG-
1.3.10, C++ overloaded operator declarations can be
wrapped. For example, consider a class like this:
</P> Complex(double r =
0, double i =
0) : rpart(r), ipart(i) { }
Complex(const Complex
&c) : rpart(c.rpart), ipart(c.ipart) { }
Complex
&operator=(const Complex
&c) {
Complex operator+(const Complex
&c) const {
return Complex(rpart+c.rpart, ipart+c.ipart);
Complex operator-(const Complex
&c) const {
return Complex(rpart-c.rpart, ipart-c.ipart);
Complex operator*(const Complex
&c) const {
return Complex(rpart*c.rpart - ipart*c.ipart,
rpart*c.ipart + c.rpart*ipart);
Complex operator-() const {
return Complex(-rpart, -ipart);
double re() const { return rpart; }
double im() const { return ipart; }
<P> When operator declarations appear, they are handled in
<EM> exactly
</EM>
the same manner as regular methods. However, the names of these methods
are set to strings like
"<TT>operator +
</TT>" or
"<TT>operator -
</TT>".
The problem with these names is that they are illegal identifiers in
most scripting languages. For instance, you can't just create a method
called
"<TT>operator +
</TT>" in Python--there won't be any way to call
<P> Some language modules already know how to automatically handle
certain operators (mapping them into operators in the target language).
However, the underlying implementation of this is really managed in a
very general way using the
<TT>%rename
</TT> directive. For example, in
Python a declaration similar to this is used:
</P>%rename(__add__) Complex::operator+;
<P> This binds the + operator to a method called
<TT>__add__
</TT> (which
is conveniently the same name used to implement the Python + operator).
Internally, the generated wrapper code for a wrapped operator will look
something like this pseudocode:
</P>_wrap_Complex___add__(args) {
<P> When used in the target language, it may now be possible to use the
overloaded operator normally. For example:
</P>>>> a = Complex(
3,
4)
>>> b = Complex(
5,
2)
>>> c = a + b # Invokes __add__ method
<P> It is important to realize that there is nothing magical happening
here. The
<TT>%rename
</TT> directive really only picks a valid method
name. If you wrote this:
</P><P> The resulting scripting interface might work like this:
</P>
c = a.add(b) # Call a.operator+(b)
<P> All of the techniques described to deal with overloaded functions
also apply to operators. For example:
</P>%ignore Complex::operator=; // Ignore = in class Complex
%ignore *::operator=; // Ignore = in all classes
%ignore operator=; // Ignore = everywhere.
%rename(__sub__) Complex::operator-;
%rename(__neg__) Complex::operator-(); // Unary -
<P> The last part of this example illustrates how multiple definitions
of the
<TT>operator-
</TT> method might be handled.
</P><P> Handling operators in this manner is mostly straightforward.
However, there are a few subtle issues to keep in mind:
</P><P>In C++, it is fairly common to define different versions of the
operators to account for different types. For example, a class might
also include a friend function like this:
</P> friend Complex operator+(Complex
&, double);
Complex operator+(Complex
&, double);
<P> SWIG simply ignores all
<TT>friend
</TT> declarations. Furthermore,
it doesn't know how to associate the associated
<TT>operator+
</TT> with
the class (because it's not a member of the class).
</P><P> It's still possible to make a wrapper for this operator, but you'll
have to handle it like a normal function. For example:
</P>%rename(add_complex_double) operator+(Complex
&, double);
<P>Certain operators are ignored by default. For instance,
<TT>new
</TT>
and
<TT>delete
</TT> operators are ignored as well as conversion
<LI>The semantics of certain C++ operators may not match those in the
<H2><A name=
"SWIGPlus_nn29"></A>6.17 Class extension
</H2>
<P> New methods can be added to a class using the
<TT>%extend
</TT>
directive. This directive is primarily used in conjunction with proxy
classes to add additional functionality to an existing class. For
#include
"vector.h
" ... bunch of C++ methods ...
sprintf(temp,
"[ %g, %g, %g ]
", self-
>x,self-
>y,self-
>z);
<P> This code adds a
<TT>__str__
</TT> method to our class for producing
a string representation of the object. In Python, such a method would
allow us to print the value of an object using the
<TT>print
</TT>>>> v = Vector();
<P> The
<TT>%extend
</TT> directive follows all of the same conventions
as its use with C structures. Please refer to the
<A href=
"#SWIG">SWIG
Basics
</A> chapter for further details.
</P><P><B> Compatibility note:
</B> The
<TT>%extend
</TT> directive is a new
name for the
<TT>%addmethods
</TT> directive. Since
<TT>%addmethods
</TT> could be used to extend a structure with more than just methods, a more
suitable directive name has been chosen.
</P><H2><A name=
"SWIGPlus_nn30"></A>6.18 Templates
</H2>
<P> In all versions of SWIG, template type names may appear anywhere a
type is expected in an interface file. For example:
</P>void foo(vector
<int
> *a, int n);
void bar(list
<int,
100> *x);
<P> There are some restrictions on the use of non-type arguments.
Specifically, they have to be simple literals and not expressions. For
void bar(list
<int,
100> *x); // OK
void bar(list
<int,
2*
50> *x); // Illegal
<P> The type system is smart enough to figure out clever games you might
try to play with
<TT>typedef
</TT>. For instance, consider this code:
</P>void foo(vector
<int
> *x, vector
<Integer
> *y);
<P> In this case,
<TT>vector
<Integer
></TT> is exactly the same type as
<TT>
vector
<int
></TT>. The wrapper for
<TT>foo()
</TT> will accept either
<P> Starting with SWIG-
1.3.7, simple C++ template declarations can also
be wrapped. SWIG-
1.3.12 greatly expands upon the earlier
implementation. Before discussing this any further, there are a few
things you need to know about template wrapping. First, a bare C++
template does not define any sort of runnable object-code for which
SWIG can normally create a wrapper. Therefore, in order to wrap a
template, you need to give SWIG information about a particular template
instantiation (e.g.,
<TT>vector
<int
></TT>,
<TT>array
<double
></TT>,
etc.). Second, an instantiation name such as
<TT>vector
<int
></TT> is
generally not a valid identifier name in most target languages. Thus,
you will need to give the template instantiation a more suitable name
such as
<TT>intvector
</TT> when creating a wrapper.
</P><P> To illustrate, consider the following template definition:
</P>
template
<class T
> class List {
if (nitems
< maxitems) {
<P> By itself, this template declaration is useless--SWIG simply ignores
it because it doesn't know how to generate any code until unless a
definition of
<TT>T
</TT> is provided.
</P><P> One way to create wrappers for a specific template instantiation is
to simply provide an expanded version of the class directly like this:
</P>%rename(intList) List
<int
>; // Rename to a suitable identifier
<P> The
<TT>%rename
</TT> directive is needed to give the template class
an appropriate identifier name in the target language (most languages
would not recognize C++ template syntax as a valid class name). The
rest of the code is the same as what would appear in a normal class
<P> Since manual expansion of templates gets old in a hurry, the
<TT>
%template
</TT> directive can be used to create instantiations of a
template class. Semantically,
<TT>%template
</TT> is simply a
shortcut---it expands template code in exactly the same way as shown
above. Here are some examples:
</P>/* Instantiate a few different versions of the template */
%template(intList) List
<int
>;
%template(doubleList) List
<double
>;
<P> The argument to
<TT>%template()
</TT> is the name of the
instantiation in the target language. The name you choose should not
conflict with any other declarations in the interface file with one
exception---it is okay for the template name to match that of a typedef
declaration. For example:
</P>%template(intList) List
<int
>;
typedef List
<int
> intList; // OK
<P> SWIG can also generate wrappers for function templates using a
similar technique. For example:
</P>template
<class T
> T max(T a, T b) { return a
> b ? a : b; }
// Make some different versions of this function
%template(maxint) max
<int
>;
%template(maxdouble) max
<double
>;
<P> In this case,
<TT>maxint
</TT> and
<TT>maxdouble
</TT> become unique
names for specific instantiations of the function.
</P><P> The number of arguments supplied to
<TT>%template
</TT> should match
that in the original template definition. Template default arguments
are supported. For example:
</P>template vector
<typename T, int max=
100> class vector {
%template(intvec) vector
<int
>; // OK
%template(vec1000) vector
<int,
1000>; // OK
<P> The
<TT>%template
</TT> directive should not be used to wrap the same
template instantiation more than once in the same scope. This will
generate an error. For example:
</P>%template(intList) List
<int
>;
%template(Listint) List
<int
>; // Error. Template already wrapped.
<P> This error is caused because the template expansion results in two
identical classes with the same name. This generates a symbol table
conflict. Besides, it probably more efficient to only wrap a specific
instantiation only once in order to reduce the potential for code
<P> Since the type system knows how to handle
<TT>typedef
</TT>, it is
generally not necessary to instantiate different versions of a template
for typenames that are equivalent. For instance, consider this code:
</P>%template(intList) vector
<int
>;
void foo(vector
<Integer
> *x);
<P> In this case,
<TT>vector
<Integer
></TT> is exactly the same type as
<TT>
vector
<int
></TT>. Any use of
<TT>Vector
<Integer
></TT> is mapped back to
the instantiation of
<TT>vector
<int
></TT> created earlier. Therefore,
it is not necessary to instantiate a new class for the type
<TT>Integer
</TT> (doing so is redundant and will simply result in code bloat).
</P><P> When a template is instantiated using
<TT>%template
</TT>,
information about that class is saved by SWIG and used elsewhere in the
program. For example, if you wrote code like this,
</P>%template(intList) List
<int
>;
class UltraList : public List
<int
> {
<P> then SWIG knows that
<TT>List
<int
></TT> was already wrapped as a
class called
<TT>intList
</TT> and arranges to handle the inheritance
correctly. If, on the other hand, nothing is known about
<TT>List
<int
></TT>, you will get a warning message similar to this:
</P>example.h:
42. Nothing known about class 'List
<int
>' (ignored).
example.h:
42. Maybe you forgot to instantiate 'List
<int
>' using %template.
<P> If a template class inherits from another template class, you need
to make sure that base classes are instantiated before derived classes.
template
<class T
> class Foo {
template
<class T
> class Bar : public Foo
<T
> {
// Instantiate base classes first
%template(intFoo) Foo
<int
>;
%template(doubleFoo) Foo
<double
>;
// Now instantiate derived classes
%template(intBar) Bar
<int
>;
%template(doubleBar) Bar
<double
>;
<P> The order is important since SWIG uses the instantiation names to
properly set up the inheritance hierarchy in the resulting wrapper code
(and base classes need to be wrapped before derived classes). Don't
worry--if you get the order wrong, SWIG should generate a warning
<P> Occassionally, you may need to tell SWIG about base classes that are
defined by templates, but which aren't supposed to be wrapped. Since
SWIG is not able to automatically instantiate templates for this
purpose, you must do it manually. To do this, simply use
<TT>%template
</TT> with no name. For example:
</P>// Instantiate traits
<double,double
>, but don't wrap it.
%template() traits
<double,double
>;
<P> If you have to instantiate a lot of different classes for many
different types, you might consider writing a SWIG macro. For example:
</P>%define TEMPLATE_WRAP(T,prefix)
%template(prefix ## Foo) Foo
<T
>;
%template(prefix ## Bar) Bar
<T
>;
TEMPLATE_WRAP(double, double)
TEMPLATE_WRAP(char *, String)
<P> The SWIG template mechanism
<EM> does
</EM> support specialization.
For instance, if you define a class like this,
</P>template
<> class List
<int
> {
<P> then SWIG will use this code whenever the user expands
<TT>List
<int
></TT>
. In practice, this may have very little effect on the underlying
wrapper code since specialization is often used to provide slightly
modified method bodies (which are ignored by SWIG). However, special
SWIG directives such as
<TT>%typemap
</TT>,
<TT>%extend
</TT>, and so
forth can be attached to a specialization to provide customization for
<P> Partial template specialization is partially supported by SWIG. For
example, this code defines a template that is applied when the template
argument is a pointer.
</P>template
<class T
> class List
<T*
> {
<P> SWIG should be able to handle most simple uses of partial
specialization. However, it may fail to match templates properly in
more complicated cases. For example, if you have this code,
</P>template
<class T1, class T2
> class Foo
<T1, T2 *
> { };
<P> SWIG isn't able to match it properly for instantiations like
<TT>
Foo
<int *, int *
></TT>. This problem is not due to parsing, but due to
the fact that SWIG does not currently implement all of the C++ argument
<P> Member function templates are supported. The underlying principle is
the same as for normal templates--SWIG can't create a wrapper unless
you provide more information about types. For example, a class with a
member template might look like this:
</P> template
<class T
> void bar(T x, T y) { ... };
<P> To expand the template, simply use
<TT>%template
</TT> inside the
template
<class T
> void bar(T x, T y) { ... };
%template(barint) bar
<int
>;
%template(bardouble) bar
<double
>;
<P> Or, if you want to leave the original class definition alone, just
template
<class T
> void bar(T x, T y) { ... };
%template(barint) bar
<int
>;
%template(bardouble) bar
<double
>;
template
<class T
> void bar(T x, T y) { ... };
%template(bari) Foo::bar
<int
>;
%template(bard) Foo::bar
<double
>;
<P> In this case, the
<TT>%extend
</TT> directive is not needed, and
<TT>
%template
</TT> does the exactly same job, i.e., it adds two new methods
<P> Note: because of the way that templates are handled, the
<TT>
%template
</TT> directive must always appear
<EM> after
</EM> the
definition of the template to be expanded.
</P><P> Now, if your target language supports overloading, you can even try
</P>
%template(bar) Foo::bar
<int
>;
%template(bar) Foo::bar
<double
>;
<P> and since the two new wrapped methods have the same name 'bar', they
will be overloaded, and when called, the correct method will be
dispatched depending on the argument type.
</P><P> When used with members, the
<TT>%template
</TT> directive may be
placed in another template class. Here is a slightly perverse example:
</P>template
<class T
> class Foo {
template
<class S
> T bar(S x, S y) { ... };
// Expand a few member templates
%template(bari) bar
<int
>;
%template(bard) bar
<double
>;
// Create some wrappers for the template
%template(Fooi) Foo
<int
>;
%template(Food) Foo
<double
>;
<P> Miraculously, you will find that each expansion of
<TT>Foo
</TT> has
member functions
<TT>bari()
</TT> and
<TT>bard()
</TT> added.
</P><P> A common use of member templates is to define constructors for
copies and conversions. For example:
</P>template
<class T1, class T2
> struct pair {
pair() : first(T1()), second(T2()) { }
pair(const T1
&x, const T2
&y) : first(x), second(y) { }
template
<class U1, class U2
> pair(const pair
<U1,U2
> &x)
: first(x.first),second(x.second) { }
<P> This declaration is perfectly acceptable to SWIG, but the
constructor template will be ignored unless you explicitly expand it.
To do that, you could expand a few versions of the constructor in the
template class itself. For example:
</P> %template(pair) pair
<T1,T2
>; // Generate default copy constructor
<P> When using
<TT>%extend
</TT> in this manner, notice how you can still
use the template parameters in the original template definition.
</P><P> Alternatively, you could expand the constructor template in selected
instantiations. For example:
</P>// Instantiate a few versions
%template(pairii) pair
<int,int
>;
%template(pairdd) pair
<double,double
>;
// Create a default constructor only
%extend pair
<int,int
> {
%template(paird) pair
<int,int
>; // Default constructor
// Create default and conversion constructors
%extend pair
<double,double
> {
%template(paird) pair
<double,dobule
>; // Default constructor
%template(pairc) pair
<int,int
>; // Conversion constructor
<P>And if your target language supports overloading, then you can try
// Create default and conversion constructors
%extend pair
<double,double
> {
%template(pair) pair
<double,dobule
>; // Default constructor
%template(pair) pair
<int,int
>; // Conversion constructor
<P> In this case, the default and conversion constructors have the same
name. Hence, Swig will overload them and define an unique visible
constructor, that will dispatch the proper call depending on the
<P> If all of this isn't quite enough and you really want to make
someone's head explode, SWIG directives such as
<TT>%rename
</TT>,
<TT>%extend
</TT>, and
<TT>%typemap
</TT> can be included directly in template
definitions. For example:
</P>template
<class T
> class List {
%rename(__getitem__) get(int);
/* Make a string representation */
<P> In this example, the extra SWIG directives are propagated to
<EM>
every
</EM> template instantiation.
</P><P> It is also possible to separate these declarations from the template
%rename(__getitem__) List::get;
/* Make a string representation */
return new List
<T
>(*self);
template
<class T
> class List {
<P> When
<TT>%extend
</TT> is decoupled from the class definition, it is
legal to use the same template parameters as provided in the class
definition. These are replaced when the template is expanded. In
addition, the
<TT>%extend
</TT> directive can be used to add additional
methods to a specific instantiation. For example:
</P>%template(intList) List
<int
>;
%extend List
<int
> {
printf(
"Hey, I'm an List
<int
>!\n
");
<P> SWIG even supports overloaded templated functions. As usual the
<TT>
%template
</TT> directive is used to wrap templated functions. For
template
<class T
> void foo(T x) { };
template
<class T
> void foo(T x, T y) { };
%template(foo) foo
<int
>;
<P> This will generate two overloaded wrapper methods, the first will
take a single integer as an argument and the second will take two
<P> Needless to say, SWIG's template support provides plenty of
opportunities to break the universe. That said, an important final
point is that
<B> SWIG does not perform extensive error checking of
templates!
</B> Specifically, SWIG does not perform type checking nor
does it check to see if the actual contents of the template declaration
make any sense. Since the C++ compiler will hopefully check this when
it compiles the resulting wrapper file, there is no practical reason
for SWIG to duplicate this functionality (besides, none of the SWIG
developers are masochistic enough to want to implement this right now).
</P><P><B> Compatibility Note
</B>: The first implementation of template
support relied heavily on macro expansion in the preprocessor.
Templates have been more tightly integrated into the parser and type
system in SWIG-
1.3.12 and the preprocessor is no longer used. Code that
relied on preprocessing features in template expansion will no longer
work. However, SWIG still allows the # operator to be used to generate
a string from a template argument.
</P><P><B> Compatibility Note
</B>: In earlier versions of SWIG, the
<TT>
%template
</TT> directive introduced a new class name. This name could
then be used with other directives. For example:
</P>%template(vectori) vector
<int
>;
<P> This behavior is no longer supported. Instead, you should use the
original template name as the class name. For example:
</P>%template(vectori) vector
<int
>;
%extend vector
<int
> {
<P> Similar changes apply to typemaps and other customization features.
</P>
<H2><A name=
"SWIGPlus_nn31"></A>6.19 Namespaces
</H2>
<P> Support for C++ namespaces is a relatively late addition to SWIG,
first appearing in SWIG-
1.3.12. Before describing the implementation,
it is worth nothing that the semantics of C++ namespaces is extremely
non-trivial--especially with regard to the C++ type system and class
machinery. At a most basic level, namespaces are sometimes used to
encapsulate common functionality. For example:
</P><P> Members of the namespace are accessed in C++ by prepending the
namespace prefix to names. For example:
</P>double x = math::sin(
1.0);
double magnitude(math::Complex *c);
<P> At this level, namespaces are relatively easy to manage. However,
things start to get very ugly when you throw in the other ways a
namespace can be used. For example, selective symbols can be exported
from a namespace with
<TT>using
</TT>.
</P>double magnitude(Complex *c); // Namespace prefix stripped
<P> Similarly, the contents of an entire namespace can be made available
double magnitude(Complex *c);
<P> Alternatively, a namespace can be aliased:
</P>
double magnitude(M::Complex *c);
<P> Using combinations of these features, it is possible to write
head-exploding code like this:
</P> class Bar : public FooClass {
class Spam : public D::Bar {
void evil(A::Foo *a, B::FooClass *b, B::C::Foo *c, BIGB::FooClass *d,
BIGB::C::Foo *e, D::FooClass *f);
<P> Given the possibility for such perversion, it's hard to imagine how
every C++ programmer might want such code wrapped into the target
language. Clearly this code defines three different classes. However,
one of those classes is accessible under at least six different class
<P> SWIG fully supports C++ namespaces in its internal type system and
class handling code. If you feed SWIG the above code, it will be parsed
correctly, it will generate compilable wrapper code, and it will
produce a working scripting language module. However, the default
wrapping behavior is to flatten namespaces in the target language. This
means that the contents of all namespaces are merged together in the
resulting scripting language module. For example, if you have code like
<P> then SWIG simply creates three wrapper functions
<TT>bar()
</TT>,
<TT>
spam()
</TT>, and
<TT>blah()
</TT> in the target language. SWIG does not
prepend the names with a namespace prefix nor are the functions
packaged in any kind of nested scope.
</P><P> There is some rationale for taking this approach. Since C++
namespaces are often used to define modules in C++, there is a natural
correlation between the likely contents of a SWIG module and the
contents of a namespace. For instance, it would not be unreasonable to
assume that a programmer might make a separate extension module for
each C++ namespace. In this case, it would be redundant to prepend
everything with an additional namespace prefix when the module itself
already serves as a namespace in the target language. Or put another
way, if you want SWIG to keep namespaces separate, simply wrap each
namespace with its own SWIG interface.
</P><P> Because namespaces are flattened, it is possible for symbols defined
in different namespaces to generate a name conflict in the target
language. For example:
</P><P> When this conflict occurs, you will get an error message that
example.i:
26. Error. 'foo' is multiply defined in the generated module.
example.i:
23. Previous declaration of 'foo'
<P> To resolve this error, simply use
<TT>%rename
</TT> to disambiguate
the declarations. For example:
</P> void foo(double); // Gets renamed to B_foo
<P> Similarly,
<TT>%ignore
</TT> can be used to ignore declarations.
</P>
<P> <TT>using
</TT> declarations do not have any effect on the generated
wrapper code. They are ignored by SWIG language modules and they do not
result in any code. However, these declarations
<EM> are
</EM> used by
the internal type system to track type-names. Therefore, if you have
<P> SWIG knows that
<TT>Integer
</TT> is the same as
<TT>A::Integer
</TT>
which is the same as
<TT>int
</TT>.
</P><P> Namespaces may be combined with templates. If necessary, the
<TT>
%template
</TT> directive can be used to expand a template defined in a
different namespace. For example:
</P> template
<typename T
> T max(T a, T b) { return a
> b ? a : b; }
%template(maxint) max
<int
>; // Okay.
%template(maxfloat) foo::max
<float
>; // Okay (qualified name).
%template(maxdouble) max
<double
>; // Okay.
<P> The combination of namespaces and other SWIG directives may
introduce subtle scope-related problems. The key thing to keep in mind
is that all SWIG generated wrappers are produced in the
<EM> global
</EM> namespace. Symbols from other namespaces are always accessed using
fully qualified names---names are never imported into the global space
unless the interface happens to do so with a
<TT>using
</TT> declaration. In almost all cases, SWIG adjusts typenames and symbols to
be fully qualified. However, this is not done in code fragments such as
function bodies, typemaps, exception handlers, and so forth. For
example, consider the following:
</P> Integer add(Integer x, Integer y) {
Integer r = x + y; // Error. Integer not defined in this scope
<P> In this case, SWIG correctly resolves the added method parameters
and return type to
<TT>foo::Integer
</TT>. However, since function
bodies aren't parsed and such code is emitted in the global namespace,
this code produces a compiler error about
<TT>Integer
</TT>. To fix the
problem, make sure you use fully qualified names. For example:
</P> Integer add(Integer x, Integer y) {
foo::Integer r = x + y; // Ok.
<P><B> Note:
</B> SWIG does
<EM> not
</EM> propagate
<TT>using
</TT>
declarations to the resulting wrapper code. If these declarations
appear in an interface, they should
<EM> also
</EM> appear in any header
files that might have been included in a
<TT>%{ ... %}
</TT> section. In
other words, don't insert extra
<TT>using
</TT> declarations into a SWIG
interface unless they also appear in the underlying C++ code.
</P><P><B> Note:
</B> Code inclusion directives such as
<TT>%{ ... %}
</TT> or
<TT>%inline %{ ... %}
</TT> should not be placed inside a namespace
declaration. The code emitted by these directives will not be enclosed
in a namespace and you may get very strange results. If you need to use
namespaces with these directives, consider the following:
</P>// Bad version. Emitted code not placed in namespace.
void bar(int) { ... } /* I'm bad */
<P><B> Note:
</B> When the
<TT>%extend
</TT> directive is used inside a
namespace, the namespace name is included in the generated functions.
For example, if you have code like this,
</P><P> the added method
<TT>blah()
</TT> is mapped to a function
<TT>int
foo_bar_blah(foo::bar *self, int x)
</TT>. This function resides in the
<P><B> Note:
</B> Although namespaces are flattened in the target
language, the SWIG generated wrapper code observes the same namespace
conventions as used in the input file. Thus, if there are no symbol
conflicts in the input, there will be no conflicts in the generated
<P><B> Note:
</B> Namespaces have a subtle effect on the wrapping of
conversion operators. For instance, suppose you had an interface like
operator bar(); // Conversion of spam -
> bar
<P> To wrap the conversion function, you might be inclined to write
%rename(tofoo) foo::spam::operator bar();
<P> The only problem is that it doesn't work. The reason it doesn't work
is that
<TT>bar
</TT> is not defined in the global scope. Therefore, to
make it work, do this instead:
</P>%rename(tofoo) foo::spam::operator
<B>foo::
</B>bar();
<P><B> Note:
</B> The flattening of namespaces is only intended to serve
as a basic namespace implementation. Since namespaces are a new
addition to SWIG, none of the target language modules are currently
programmed with any namespace awareness. In the future, language
modules may or may not provide more advanced namespace support.
</P><H2><A name=
"SWIGPlus_exception_specifications"></A>6.20 Exception
<P> When C++ programs utilize exceptions, exceptional behavior is
sometimes specified as part of a function or method declaration. For
void blah() throw(Error);
<P> If an exception specification is used, SWIG automatically generates
wrapper code for catching the indicated exception and converting it
into an error in the target language. In certain language modules,
wrapped exception classes themselves can be used to catch errors. For
example, in Python, you can write code like this:
</P> # e is a wrapped instance of
"Error
"<P> Obviously, the exact details of how exceptions are handled depend on
the target language module.
</P><P> Since exception specifications are sometimes only used sparingly,
this alone may not be enough to properly handle C++ exceptions. To do
that, a different set of special SWIG directives are used. Consult the
"<A href=
"#Customization">Customization features
</A>" chapter for
<H2><A name=
"SWIGPlus_nn33"></A>6.21 Pointers to Members
</H2>
<P> Starting with SWIG1.3
.7, there is limited parsing support for
pointers to C++ class members. For example:
</P>double do_op(Object *o, double (Object::*callback)(double,double));
extern double (Object::*fooptr)(double,double);
%constant double (Object::*FOO)(double,double) =
&Object::foo;
<P> Although these kinds of pointers can be parsed and represented by
the SWIG type system, few language modules know how to handle them due
to implementation differences from standard C pointers. Readers are
<EM> strongly
</EM> advised to consult an advanced text such as the
"The
Annotated C++ Manual
" for specific details.
</P><P> When pointers to members are supported, the pointer value might
appear as a special string like this:
</P>>>> print example.FOO
_ff0d54a800000000_m_Object__f_double_double__double
<P> In this case, the hexadecimal digits represent the entire value of
the pointer which is usually the contents of a small C++ structure on
<P> SWIG's type-checking mechanism is also more limited when working
with member pointers. Normally SWIG tries to keep track of inheritance
when checking types. However, no such support is currently provided for
<H2><A name=
"SWIGPlus_nn34"></A>6.22 Smart pointers and operator-
>()
</H2>
<P> In some C++ programs, objects are often encapsulated by
smart-pointers or proxy classes. This is sometimes done to implement
automatic memory management (reference counting) or persistence.
Typically a smart-pointer is defined by a template class where the
<TT>-
></TT> operator has been overloaded. This class is then wrapped around
some other class. For example:
</P>template
<class T
> class SmartPtr {
typedef SmartPtr
<Foo_Impl
> Foo;
// Create smart pointer Foo
return SmartPtr(new Foo_Impl());
// Do something with smart pointer Foo
void do_something(Foo f) {
printf(
"x = %d\n
", f-
>x);
<P> A key feature of this approach is that by defining
<TT>operator-
></TT>
the methods and attributes of the object wrapped by a smart pointer are
transparently accessible. For example, expressions such as these (from
the previous example),
</P><P> are transparently mapped to the following
</P>
(f.operator-
>())-
>x;
(f.operator-
>())-
>bar();
<P> When generating wrappers, SWIG tries to emulate this functionality
to the extent that it is possible. To do this, whenever
<TT>operator-
>()
</TT> is encountered in a class, SWIG looks at its returned
type and uses it to generate wrappers for accessing attributes of the
underlying object. For example, wrapping the above code produces
void Foo_x_set(Foo *f, int value) {
<P> These wrappers take a smart-pointer instance as an argument, but
dereference it in a way to gain access to the object returned by
<TT>operator-
>()
</TT>. You should carefully compare these wrappers to those
in the first part of this chapter (they are slightly different).
</P><P> The end result is that access looks very similar to C++. For
example, you could do this in Python:
</P>>>> f = make_Foo()
<P> When generating wrappers through a smart-pointer, SWIG tries to
generate wrappers for all methods and attributes that might be
accessible through
<TT>operator-
>()
</TT>. This includes any methods
that might be accessible through inheritance. However, there are a
number of restrictions:
</P><LI>Member variables and methods are wrapped through a smart pointer.
Enumerations, constructors, and destructors are not wrapped.
</LI><P>If the smart-pointer class and the underlying object both define a
method or variable of the same name, then the smart-pointer version has
precedence. For example, if you have this code
</P><P> then the wrapper for
<TT>Bar::x
</TT> accesses the
<TT>x
</TT> defined
in
<TT>Bar
</TT>, and not the
<TT>x
</TT> defined in
<TT>Foo
</TT>.
</P><P> If your intent is to only expose the smart-pointer class in the
interface, it is not necessary to wrap both the smart-pointer class and
the class for the underlying object. However, you must still tell SWIG
about both classes if you want the technique described in this section
to work. To only generate wrappers for the smart-pointer class, you can
use the %ignore directive. For example:
</P><P> Alternatively, you can import the definition of
<TT>Foo
</TT> from a
separate file using
<TT>%import
</TT>.
</P><P><B> Note:
</B> When a class defines
<TT>operator-
>()
</TT>, the
operator itself is wrapped as a method
<TT>__deref__()
</TT>. For
f = Foo() # Smart-pointer
p = f.__deref__() # Raw pointer from operator-
><P><B> Note:
</B> To disable the smart-pointer behavior, use
<TT>%ignore
</TT>
to ignore
<TT>operator-
>()
</TT>. For example:
</P>%ignore Bar::operator-
>;
<P><B> Note:
</B> Smart pointer support was first added in SWIG-
1.3.14.
</P>
<H2><A name=
"SWIGPlus_nn35"></A>6.23 Using declarations and inheritance
</H2>
<P> <TT>using
</TT> declarations are sometimes used to adjust access to
members of base classes. For example:
</P>class FooBar : public Foo, public Bar {
char *blah(const char *x);
<P> In this example, the
<TT>using
</TT> declarations make different
versions of the overloaded
<TT>blah()
</TT> method accessible from the
derived class. For example:
</P>f-
>blah(
3); // Ok. Invokes Foo::blah(int)
f-
>blah(
3.5); // Ok. Invokes Bar::blah(double)
f-
>blah(
"hello
"); // Ok. Invokes FooBar::blah(const char *);
<P> SWIG emulates the same functionality when creating wrappers. For
example, if you wrap this code in Python, the module works just like
>>> import example
>>> f = example.FooBar()
>>> f.blah(
"hello
")
<P> <TT>using
</TT> declarations can also be used to change access when
applicable. For example:
</P> using Foo::x; // Make x public
using Foo::blah; // Make blah public
<P> This also works in SWIG---the exposed declarations will be wrapped
<P> When
<TT>using
</TT> declarations are used as shown in these
examples, declarations from the base classes are copied into the
derived class and wrapped normally. When copied, the declarations
retain any properties that might have been attached using
<TT>%rename
</TT>,
<TT>%ignore
</TT>, or
<TT>%feature
</TT>. Thus, if a method is ignored
in a base class, it will also be ignored by a
<TT>using
</TT><P> Because a
<TT>using
</TT> declaration does not provide fine-grained
control over the declarations that get imported, it may be difficult to
manage such declarations in applications that make heavy use of SWIG
customization features. If you can't get
<TT>using
</TT> to work
correctly, you can always change the interface to the following:
</P>class FooBar : public Foo, public Bar {
int blah(int x); // explicitly tell SWIG about other declarations
char *blah(const char *x);
<P>If a derived class redefines a method defined in a base class, then a
<TT>using
</TT> declaration won't cause a conflict. For example:
</P>
using Foo::blah; // Only imports blah(double);
<P>Resolving ambiguity in overloading may prevent declarations from
being imported by
<TT>using
</TT>. For example:
</P>%rename(blah_long) Foo::blah(long);
long blah(long); // Renamed to blah_long
using Foo::blah; // Only imports blah(int)
<H2><A name=
"SWIGPlus_nn36"></A>6.24 Partial class definitions
</H2>
<P> Since SWIG is still limited in its support of C++, it may be
necessary to use partial class information in an interface file.
However, since SWIG does not need the entire class specification to
work, conditional compilation can be used to comment out problematic
parts. For example, if you had a nested class definition, you might do
<P> Also, as a rule of thumb, SWIG should not be used on raw C++ source
<H2><A name=
"SWIGPlus_nn37"></A>6.25 A brief rant about
<P> A common issue when working with C++ programs is dealing with all
possible ways in which the
<TT>const
</TT> qualifier (or lack thereof)
will break your program, all programs linked against your program, and
all programs linked against those programs.
</P><P> Although SWIG knows how to correctly deal with
<TT>const
</TT> in its
internal type system and it knows how to generate wrappers that are
free of const-related warnings, SWIG does not make any attempt to
preserve const-correctness in the target language. Thus, it is possible
to pass
<TT>const
</TT> qualified objects to non-const methods and
functions. For example, consider the following code in C++:
</P> bar(foo()); // Error: bar discards const
<P> Now, consider the behavior when wrapped into a Python module:
</P>
>>> bar(foo()) # Okay
<P> Although this is clearly a violation of the C++ type-system, fixing
the problem doesn't seem to be worth the added implementation
complexity that would be required to support it in the SWIG run-time
type system. There are no plans to change this in future releases
(although we'll never rule anything out entirely).
</P><P> The bottom line is that this particular issue does not appear to be
a problem for most SWIG projects. Of course, you might want to consider
using another tool if maintaining constness is the most important part
<H2><A name=
"SWIGPlus_nn38"></A>6.26 Proxy classes
</H2>
<P> In order to provide a more natural API, SWIG's target languages wrap
C++ classes with special proxy classes. These proxy classes are
typically implemented in the target language itself. For example, if
you're building a Python module, each C++ class is wrapped by a Python
class. Or if you're building a Java module, each C++ class is wrapped
<H3><A name=
"SWIGPlus_nn39"></A>6.26.1 Construction of proxy classes
</H3>
<P> Proxy classes are always constructed as an extra layer of wrapping
that uses the low-level accessor functions described in the previous
section. To illustrate, suppose you had a C++ class like this:
</P><P> Using C++ as pseudocode, a proxy class looks something like this:
</P>
<P> Of course, always keep in mind that the real proxy class is written
in the target language. For example, in Python, the proxy might look
return Foo_bar(self.this,x)
def __getattr__(self,name):
return Foo_x_get(self.this)
def __setattr__(self,name,value):
Foo_x_set(self.this,value)
<P> Again, it's important to emphasize that the low-level accessor
functions are always used to construct the proxy classes.
</P><P> Whenever possible, proxies try to take advantage of language
features that are similar to C++. This might include operator
overloading, exception handling, and other features.
</P><H3><A name=
"SWIGPlus_nn40"></A>6.26.2 Resource management in proxies
</H3>
<P> A major issue with proxies concerns the memory management of wrapped
objects. Consider the following C++ code:
</P><P> Now, consider some script code that uses these classes:
</P>
f = Foo() # Creates a new Foo
s = Spam() # Creates a new Spam
s.value = f # Stores a reference to f inside s
g = s.value # Returns stored reference
g =
4 # Reassign g to some other value
<P> Now, ponder the resulting memory management issues. When objects are
created in the script, the objects are wrapped by newly created proxy
classes. That is, there is both a new proxy class instance and a new
instance of the underlying C++ class. In this example, both
<TT>f
</TT> and
<TT>s
</TT> are created in this way. However, the statement
<TT>s.value
</TT> is rather curious---when executed, a pointer to
<TT>f
</TT> is stored inside another object. This means that the scripting proxy
class
<EM> AND
</EM> another C++ class share a reference to the same
object. To make matters even more interesting, consider the statement
<TT>g = s.value
</TT>. When executed, this creates a new proxy class
<TT>g
</TT> that provides a wrapper around the C++ object stored in
<TT>s.value
</TT>. In general, there is no way to know where this object came from---it
could have been created by the script, but it could also have been
generated internally. In this particular example, the assignment of
<TT>g
</TT> results in a second proxy class for
<TT>f
</TT>. In other words, a
reference to
<TT>f
</TT> is now shared by two proxy classes
<EM> and
</EM><P> Finally, consider what happens when objects are destroyed. In the
statement,
<TT>g=
4</TT>, the variable
<TT>g
</TT> is reassigned. In many
languages, this makes the old value of
<TT>g
</TT> available for garbage
collection. Therefore, this causes one of the proxy classes to be
destroyed. Later on, the statement
<TT>del f
</TT> destroys the other
proxy class. Of course, there is still a reference to the original
object stored inside another C++ object. What happens to it? Is it the
<P> To deal with memory management problems, proxy classes always
provide an API for controlling ownership. In C++ pseudocode, ownership
control might look roughly like this:
</P> thisown =
1; // Newly created object
if (thisown) delete_Foo(self);
class FooPtrProxy: public FooProxy {
return FooPtrProxy(Spam_value_get(self));
void value_set(FooProxy *v) {
Spam_value_set(self,v-
>self);
<P> Looking at this code, there are a few central features:
</P>
<LI>Each proxy class keeps an extra flag to indicate ownership. C++
objects are only destroyed if the ownership flag is set.
</LI><LI>When new objects are created in the target language, the ownership
<LI>When a reference to an internal C++ object is returned, it is
wrapped by a proxy class, but the proxy class does not have ownership.
</LI><LI>In certain cases, ownership is adjusted. For instance, when a value
is assigned to the member of a class, ownership is lost.
</LI><LI>Manual ownership control is provided by special
<TT>disown()
</TT>
and
<TT>acquire()
</TT> methods.
</LI><P> Given the tricky nature of C++ memory management, it is impossible
for proxy classes to automatically handle every possible memory
management problem. However, proxies do provide a mechanism for manual
control that can be used (if necessary) to address some of the more
tricky memory management problems.
</P><H3><A name=
"SWIGPlus_nn41"></A>6.26.3 Language specific details
</H3>
<P> Language specific details on proxy classes are contained in the
chapters describing each target language. This chapter has merely
introduced the topic in a very general way.
</P><H2><A name=
"SWIGPlus_nn42"></A>6.27 Where to go for more information
</H2>
<P> If you're wrapping serious C++ code, you might want to pick up a
copy of
"The Annotated C++ Reference Manual
" by Ellis and Stroustrup.
This is the reference document we use to guide a lot of SWIG's C++
<!-- LocalWords: destructors Enums Namespaces const SWIG's STL OO adaptor tcl
<!-- LocalWords: debuggable cxx OBJS Wiki accessor nodefault makedefault
<!-- LocalWords: notabstract CopyFoo
<H1><A name=
"Preprocessor"></A>7 Preprocessing
</H1>
<LI><A href=
"#Preprocessor_nn2">File inclusion
</A></LI>
<LI><A href=
"#Preprocessor_nn3">File imports
</A></LI>
<LI><A href=
"#Preprocessor_nn4">Conditional Compilation
</A></LI>
<LI><A href=
"#Preprocessor_nn5">Macro Expansion
</A></LI>
<LI><A href=
"#Preprocessor_nn6">SWIG Macros
</A></LI>
<LI><A href=
"#Preprocessor_nn7">C99 and GNU Extensions
</A></LI>
<LI><A href=
"#Preprocessor_nn8">Preprocessing and %{ ... %} blocks
</A></LI>
<LI><A href=
"#Preprocessor_nn9">Preprocessing and { ... }
</A></LI>
<LI><A href=
"#Preprocessor_nn10">Viewing preprocessor output
</A></LI>
<P> SWIG includes its own enhanced version of the C preprocessor. The
preprocessor supports the standard preprocessor directives and macro
expansion rules. However, a number of modifications and enhancements
have been made. This chapter describes some of these modifications.
</P><H2><A name=
"Preprocessor_nn2"></A>7.1 File inclusion
</H2>
<P> To include another file into a SWIG interface, use the
<TT>%include
</TT>
%include
"pointer.i
"<P> Unlike,
<TT>#include
</TT>,
<TT>%include
</TT> includes each file once
(and will not reload the file on subsequent
<TT>%include
</TT> declarations). Therefore, it is not necessary to use include-guards in
<P> By default, the
<TT>#include
</TT> is ignored unless you run SWIG
with the
<TT>-includeall
</TT> option. The reason for ignoring
traditional includes is that you often don't want SWIG to try and wrap
everything included in standard header system headers and auxilliary
<H2><A name=
"Preprocessor_nn3"></A>7.2 File imports
</H2>
<P> SWIG provides another file inclusion directive with the
<TT>%import
</TT>
directive. For example:
</P>%import
"foo.i
"<P> The purpose of
<TT>%import
</TT> is to collect certain information
from another SWIG interface file or a header file without actually
generating any wrapper code. Such information generally includes type
declarations (e.g.,
<TT>typedef
</TT>) as well as C++ classes that might
be used as base-classes for class declarations in the interface. The
use of
<TT>%import
</TT> is also important when SWIG is used to generate
extensions as a collection of related modules. This is an advanced
topic and is described in a later chapter.
</P><P> The
<TT>-importall
</TT> directive tells SWIG to follow all
<TT>
#include
</TT> statements as imports. This might be useful if you want to
extract type definitions from system header files without generating
<H2><A name=
"Preprocessor_nn4"></A>7.3 Conditional Compilation
</H2>
<P> SWIG fully supports the use of
<TT>#if
</TT>,
<TT>#ifdef
</TT>,
<TT>
#ifndef
</TT>,
<TT>#else
</TT>,
<TT>#endif
</TT> to conditionally include
parts of an interface. The following symbols are predefined by SWIG
when it is parsing the interface:
</P>SWIG Always defined when SWIG is processing a file
SWIGIMPORTED Defined when SWIG is importing a file with
<TT>%import
</TT>SWIGMAC Defined when running SWIG on the Macintosh
SWIGWIN Defined when running SWIG under Windows
SWIG_VERSION Hexadecimal number containing SWIG version,
such as
0x010311 (corresponding to SWIG-
1.3.11).
SWIGCHICKEN Defined when using CHICKEN
SWIGCSHARP Defined when using C#
SWIGGUILE Defined when using Guile
SWIGJAVA Defined when using Java
SWIGMZSCHEME Defined when using Mzscheme
SWIGOCAML Defined when using Ocaml
SWIGPERL Defined when using Perl
SWIGPERL5 Defined when using Perl5
SWIGPHP Defined when using PHP
SWIGPHP4 Defined when using PHP4
SWIGPYTHON Defined when using Python
SWIGRUBY Defined when using Ruby
SWIGSEXP Defined when using S-expressions
SWIGTCL Defined when using Tcl
SWIGTCL8 Defined when using Tcl8.0
SWIGXML Defined when using XML
<P> In addition, SWIG defines the following set of standard C/C++
__LINE__ Current line number
__FILE__ Current file name
__STDC__ Defined to indicate ANSI C
__cplusplus Defined when -c++ option used
<P> Interface files can look at these symbols as necessary to change the
way in which an interface is generated or to mix SWIG directives with C
code. These symbols are also defined within the C code generated by
SWIG (except for the symbol `
<TT>SWIG
</TT>' which is only defined
within the SWIG compiler).
</P><H2><A name=
"Preprocessor_nn5"></A>7.4 Macro Expansion
</H2>
<P> Traditional preprocessor macros can be used in SWIG interfaces. Be
aware that the
<TT>#define
</TT> statement is also used to try and
detect constants. Therefore, if you have something like this in your
<P> you may get some extra constants such as
<TT>_FOO_H
</TT> showing up
in the scripting interface.
</P><P> More complex macros can be defined in the standard way. For example:
</P>
#define _ANSI(args) (args)
<P> The following operators can appear in macro definitions:
</P>
<BR> Converts macro argument
<TT>x
</TT> to a string surrounded by double
quotes (
"x
").
</LI><BR> Concatenates x and y together to form
<TT>xy
</TT>.
</LI>
<BR> If
<TT>x
</TT> is a string surrounded by double quotes, do nothing.
Otherwise, turn into a string like
<TT>#x
</TT>. This is a non-standard
<H2><A name=
"Preprocessor_nn6"></A>7.5 SWIG Macros
</H2>
<P> SWIG provides an enhanced macro capability with the
<TT>%define
</TT>
and
<TT>%enddef
</TT> directives. For example:
</P>%define ARRAYHELPER(type,name)
type *new_ ## name (int nitems) {
return (type *) malloc(sizeof(type)*nitems);
void delete_ ## name(type *t) {
type name ## _get(type *t, int index) {
void name ## _set(type *t, int index, type val) {
ARRAYHELPER(int, IntArray)
ARRAYHELPER(double, DoubleArray)
<P> The primary purpose of
<TT>%define
</TT> is to define large macros of
code. Unlike normal C preprocessor macros, it is not necessary to
terminate each line with a continuation character (\)--the macro
definition extends to the first occurrence of
<TT>%enddef
</TT>.
Furthermore, when such macros are expanded, they are reparsed through
the C preprocessor. Thus, SWIG macros can contain all other
preprocessor directives except for nested
<TT>%define
</TT> statements.
</P><P> The SWIG macro capability is a very quick and easy way to generate
large amounts of code. In fact, many of SWIG's advanced features and
libraries are built using this mechanism (such as C++ template
<H2><A name=
"Preprocessor_nn7"></A>7.6 C99 and GNU Extensions
</H2>
<P> SWIG-
1.3.12 and newer releases support variadic preprocessor macros.
#define DEBUGF(fmt,...) fprintf(stderr,fmt,__VA_ARGS__)
<P> When used, any extra arguments to
<TT>...
</TT> are placed into the
special variable
<TT>__VA_ARGS__
</TT>. This also works with special
SWIG macros defined using
<TT>%define
</TT>.
</P><P> SWIG allows a variable number of arguments to be empty. However,
this often results in an extra comma (,) and syntax error in the
resulting expansion. For example:
</P>DEBUGF(
"hello
"); --
> fprintf(stderr,
"hello
",);
<P> To get rid of the extra comma, use
<TT>##
</TT> like this:
</P>
#define DEBUGF(fmt,...) fprintf(stderr,fmt, ##__VA_ARGS__)
<P> SWIG also supports GNU-style variadic macros. For example:
</P>
#define DEBUGF(fmt, args...) fprintf(stdout,fmt,args)
<P><B> Comment:
</B> It's not entirely clear how variadic macros might be
useful to interface building. However, they are used internally to
implement a number of SWIG directives and are provided to make SWIG
more compatible with C99 code.
</P><H2><A name=
"Preprocessor_nn8"></A>7.7 Preprocessing and %{ ... %}
<P> The SWIG preprocessor does not process any text enclosed in a code
block %{ ... %}. Therefore, if you write code like this,
</P><P> the contents of the
<TT>%{ ... %}
</TT> block are copied without
modification to the output (including all preprocessor directives).
</P><H2><A name=
"Preprocessor_nn9"></A>7.8 Preprocessing and { ... }
</H2>
<P> SWIG always runs the preprocessor on text appearing inside
<TT>{ ...
}
</TT>. However, sometimes it is desirable to make a preprocessor
directive pass through to the output file. For example:
</P> printf(
"I'm in bar\n
");
<P> By default, SWIG will interpret the
<TT>#ifdef DEBUG
</TT> statement.
However, if you really wanted that code to actually go into the wrapper
file, prefix the preprocessor directives with
<TT>%
</TT> like this:
</P> printf(
"I'm in bar\n
");
<P> SWIG will strip the extra
<TT>%
</TT> and leave the preprocessor
directive in the code.
</P><H2><A name=
"Preprocessor_nn10"></A>7.9 Viewing preprocessor output
</H2>
<P> Like many compilers, SWIG supports a
<TT>-E
</TT> command line option
to display the output from the preprocessor. When the
<TT>-E
</TT> switch is used, SWIG will not generate any wrappers. Instead the
results after the preprocessor has run are displayed. This might be
useful as an aid to debugging and viewing the results of macro
<H1><A name=
"Library"></A>8 SWIG library
</H1>
<LI><A href=
"#Library_nn2">The %include directive and library search
<LI><A href=
"#Library_nn3">C Arrays and Pointers
</A>
<LI><A href=
"#Library_nn4">cpointer.i
</A></LI>
<LI><A href=
"#Library_nn5">carrays.i
</A></LI>
<LI><A href=
"#Library_nn6">cmalloc.i
</A></LI>
<LI><A href=
"#Library_nn7">cdata.i
</A></LI>
<LI><A href=
"#Library_nn8">C String Handling
</A>
<LI><A href=
"#Library_nn9">Default string handling
</A></LI>
<LI><A href=
"#Library_nn10">Passing binary data
</A></LI>
<LI><A href=
"#Library_nn11">Using %newobject to release memory
</A></LI>
<LI><A href=
"#Library_nn12">cstring.i
</A></LI>
<LI><A href=
"#Library_stl_cpp_library">STL/C++ Library
</A>
<LI><A href=
"#Library_nn14">std_string.i
</A></LI>
<LI><A href=
"#Library_nn15">std_vector.i
</A></LI>
<LI><A href=
"#Library_stl_exceptions">STL exceptions
</A></LI>
<LI><A href=
"#Library_nn16">Utility Libraries
</A>
<LI><A href=
"#Library_nn17">exception.i
</A></LI>
<P> To help build extension modules, SWIG is packaged with a library of
support files that you can include in your own interfaces. These files
often define new SWIG directives or provide utility functions that can
be used to access parts of the standard C and C++ libraries. This
chapter provides a reference to the current set of supported library
<P><B> Compatibility note:
</B> Older versions of SWIG included a number
of library files for manipulating pointers, arrays, and other
structures. Most these files are now deprecated and have been removed
from the distribution. Alternative libraries provide similar
functionality. Please read this chapter carefully if you used the old
<H2><A name=
"Library_nn2"></A>8.1 The %include directive and library
<P> Library files are included using the
<TT>%include
</TT> directive.
When searching for files, directories are searched in the following
<LI>The current directory
</LI>
<LI>Directories specified with the
<TT>-I
</TT> command line option
</LI>
<LI>.
<TT>/swig_lib
</TT></LI>
<LI><TT>/usr/local/lib/swig_lib
</TT> (or wherever you installed SWIG)
</LI>
<LI>On Windows, SWIG also looks for the library relative to the location
of
<TT>swig.exe
</TT>.
</LI><P> Within each directory, SWIG first looks for a subdirectory
corresponding to a target language (e.g.,
<TT>python
</TT>,
<TT>tcl
</TT>, etc.). If found, SWIG will search the language specific directory
first. This allows for language-specific implementations of library
<P> You can override the location of the SWIG library by setting the
<TT>
SWIG_LIB
</TT> environment variable.
</P><H2><A name=
"Library_nn3"></A>8.2 C Arrays and Pointers
</H2>
<P> This section describes library modules for manipulating low-level C
arrays and pointers. The primary use of these modules is in supporting
C declarations that manipulate bare pointers such as
<TT>int *
</TT>,
<TT>double *
</TT>, or
<TT>void *
</TT>. The modules can be used to allocate
memory, manufacture pointers, dereference memory, and wrap pointers as
class-like objects. Since these functions provide direct access to
memory, their use is potentially unsafe and you should exercise
<H3><A name=
"Library_nn4"></A>8.2.1 cpointer.i
</H3>
<P> The
<TT>cpointer.i
</TT> module defines macros that can be used to
used to generate wrappers around simple C pointers. The primary use of
this module is in generating pointers to primitive datatypes such as
<TT>int
</TT> and
<TT>double
</TT>.
</P><P><B> <TT>%pointer_functions(type,name)
</TT></B></P>
<P>Generates a collection of four functions for manipulating a pointer
<TT>
<P> <TT>type *new_name()
</TT></P>
<P> Creates a new object of type
<TT>type
</TT> and returns a pointer to
it. In C, the object is created using
<TT>calloc()
</TT>. In C++,
<TT><P> <TT>type *copy_name(type value)
</TT></P>
<P> Creates a new object of type
<TT>type
</TT> and returns a pointer to
it. An initial value is set by copying it from
<TT>value
</TT>. In C,
the object is created using
<TT>calloc()
</TT>. In C++,
<TT>new
</TT> is
<P> <TT>type *delete_name(type *obj)
</TT></P>
<P> Deletes an object type
<TT>type
</TT>.
</P>
<P> <TT>void name_assign(type *obj, type value)
</TT></P>
<P> Assigns
<TT>*obj = value
</TT>.
</P>
<P> <TT>type name_value(type *obj)
</TT></P>
<P> Returns the value of
<TT>*obj
</TT>.
</P>
<P> When using this macro,
<TT>type
</TT> may be any type and
<TT>name
</TT>
must be a legal identifier in the target language.
<TT>name
</TT> should
not correspond to any other name used in the interface file.
</P><P> Here is a simple example of using
<TT>%pointer_functions()
</TT>:
</P>
%include
"cpointer.i
"/* Create some functions for working with
"int *
" */
%pointer_functions(int, intp);
/* A function that uses an
"int *
" */
void add(int x, int y, int *result);
>>> import example
>>> c = example.new_intp() # Create an
"int
" for storing result
>>> example.add(
3,
4,c) # Call function
>>> example.intp_value(c) # Dereference
>>> example.delete_intp(c) # Delete
<P><B> <TT>%pointer_class(type,name)
</TT></B></P>
<P> Wraps a pointer of
<TT>type *
</TT> inside a class-based interface.
This interface is as follows:
</P> name(); // Create pointer object
~name(); // Delete pointer object
void assign(type value); // Assign value
type value(); // Get value
type *cast(); // Cast the pointer to original type
static name *frompointer(type *); // Create class wrapper from existing
<P> When using this macro,
<TT>type
</TT> is restricted to a simple type
name like
<TT>int
</TT>,
<TT>float
</TT>, or
<TT>Foo
</TT>. Pointers and
other complicated types are not allowed.
<TT>name
</TT> must be a valid
identifier not already in use. When a pointer is wrapped as a class,
the
"class
" may be transparently passed to any function that expects
<P> If the target language does not support proxy classes, the use of
this macro will produce the example same functions as
<TT>%pointer_functions()
</TT> macro.
</P><P> It should be noted that the class interface does introduce a new
object or wrap a pointer inside a special structure. Instead, the raw
pointer is used directly.
</P><P> Here is the same example using a class instead:
</P>
%include
"cpointer.i
"/* Wrap a class interface around an
"int *
" */
%pointer_class(int, intp);
/* A function that uses an
"int *
" */
void add(int x, int y, int *result);
<P> Now, in Python (using proxy classes)
</P>
>>> import example
>>> c = example.intp() # Create an
"int
" for storing result
>>> example.add(
3,
4,c) # Call function
>>> c.value() # Dereference
<P> Of the two macros,
<TT>%pointer_class
</TT> is probably the most
convenient when working with simple pointers. This is because the
pointers are access like objects and they can be easily garbage
collected (destruction of the pointer object destroys the underlying
<P><B> <TT>%pointer_cast(type1, type2, name)
</TT></B></P>
<P> Creates a casting function that converts
<TT>type1
</TT> to
<TT>type2
</TT>
. The name of the function is
<TT>name
</TT>. For example:
</P>%pointer_cast(int *, unsigned int *, int_to_uint);
<P> In this example, the function
<TT>int_to_uint()
</TT> would be used
to cast types in the target language.
</P><P><B> Note:
</B> None of these macros can be used to safely work with
strings (
<TT>char *
</TT> or
<TT>char **
</TT>).
</P><P><B> Note:
</B> When working with simple pointers, typemaps can often
be used to provide more seamless operation.
</P><H3><A name=
"Library_nn5"></A>8.2.2 carrays.i
</H3>
<P> This module defines macros that assist in wrapping ordinary C
pointers as arrays. The module does not provide any safety or an extra
layer of wrapping--it merely provides functionality for creating,
destroying, and modifying the contents of raw C array data.
</P><P><B> <TT>%array_functions(type,name)
</TT></B></P>
<P>Creates four functions.
</P>
<P> <TT>type *new_name(int nelements)
</TT></P>
<P> Creates a new array of objects of type
<TT>type
</TT>. In C, the
array is allocated using
<TT>calloc()
</TT>. In C++,
<TT>new []
</TT> is
<P> <TT>type *delete_name(type *ary)
</TT></P>
<P> Deletes an array. In C,
<TT>free()
</TT> is used. In C++,
<TT>delete
<P> <TT>type name_getitem(type *ary, int index)
</TT></P>
<P> Returns the value
<TT>ary[index]
</TT>.
</P>
<P> <TT>void name_setitem(type *ary, int index, type value)
</TT></P>
<P> Assigns
<TT>ary[index] = value
</TT>.
</P>
<P> When using this macro,
<TT>type
</TT> may be any type and
<TT>name
</TT>
must be a legal identifier in the target language.
<TT>name
</TT> should
not correspond to any other name used in the interface file.
</P><P> Here is an example of
<TT>%array_functions()
</TT>. Suppose you had a
void print_array(double x[
10]) {
for (i =
0; i
< 10; i++) {
printf(
"[%d] = %g\n
", i, x[i]);
<P> To wrap it, you might write this:
</P>
%include
"carrays.i
"%array_functions(double, doubleArray);
void print_array(double x[
10]);
<P> Now, in a scripting language, you might write this:
</P>
a = new_doubleArray(
10) # Create an array
doubleArray_setitem(a,i,
2*i) # Set a value
print_array(a) # Pass to C
delete_doubleArray(a) # Destroy array
</DIV></DIV><B> <TT>%array_class(type,name)
</TT></B><DIV class=
"indent">
<P> Wraps a pointer of
<TT>type *
</TT> inside a class-based interface.
This interface is as follows:
</P> name(int nelements); // Create an array
type getitem(int index); // Return item
void setitem(int index, type value); // Set item
type *cast(); // Cast to original type
static name *frompointer(type *); // Create class wrapper from
<P> When using this macro,
<TT>type
</TT> is restricted to a simple type
name like
<TT>int
</TT> or
<TT>float
</TT>. Pointers and other
complicated types are not allowed.
<TT>name
</TT> must be a valid
identifier not already in use. When a pointer is wrapped as a class, it
can be transparently passed to any function that expects the pointer.
</P><P> When combined with proxy classes, the
<TT>%array_class()
</TT> macro
can be especially useful. For example:
</P>%include
"carrays.i
"%array_class(double, doubleArray);
void print_array(double x[
10]);
<P> Allows you to do this:
</P>
c = example.doubleArray(
10) # Create double[
10]
c[i] =
2*i # Assign values
example.print_array(c) # Pass to C
<P><B> Note:
</B> These macros do not encapsulate C arrays inside a
special data structure or proxy. There is no bounds checking or safety
of any kind. If you want this, you should consider using a special
array object rather than a bare pointer.
</P><P><B> Note:
</B> <TT>%array_functions()
</TT> and
<TT>%array_class()
</TT>
should not be used with types of
<TT>char
</TT> or
<TT>char *
</TT>.
</P><H3><A name=
"Library_nn6"></A>8.2.3 cmalloc.i
</H3>
<P> This module defines macros for wrapping the low-level C memory
allocation functions
<TT>malloc()
</TT>,
<TT>calloc()
</TT>,
<TT>realloc()
</TT>, and
<TT>free()
</TT>.
</P><P><B> <TT>%malloc(type [,name=type])
</TT></B></P>
<P> Creates a wrapper around
<TT>malloc()
</TT> with the following
<EM>type
</EM> *malloc_
<EM>name
</EM>(int nbytes = sizeof(
<EM>type
</EM>));
<P> If
<TT>type
</TT> is
<TT>void
</TT>, then the size parameter
<TT>
nbytes
</TT> is required. The
<TT>name
</TT> parameter only needs to be
specified when wrapping a type that is not a valid identifier (e.g.,
"<TT>int *
</TT>",
"<TT>double **
</TT>", etc.).
</P><P><B> <TT>%calloc(type [,name=type])
</TT></B></P>
<P> Creates a wrapper around
<TT>calloc()
</TT> with the following
<EM>type
</EM> *calloc_
<EM>name
</EM>(int nobj =
1, int sz = sizeof(
<EM>type
</EM>));
<P> If
<TT>type
</TT> is
<TT>void
</TT>, then the size parameter
<TT>sz
</TT>
<P><B> <TT>%realloc(type [,name=type])
</TT></B></P>
<P> Creates a wrapper around
<TT>realloc()
</TT> with the following
<EM>type
</EM> *realloc_
<EM>name
</EM>(
<EM>type
</EM> *ptr, int nitems);
<P> Note: unlike the C
<TT>realloc()
</TT>, the wrapper generated by this
macro implicitly includes the size of the corresponding type. For
example,
<TT>realloc_int(p,
100)
</TT> reallocates
<TT>p
</TT> so that it
<P><B> <TT>%free(type [,name=type])
</TT></B></P>
<P> Creates a wrapper around
<TT>free()
</TT> with the following
void free_
<EM>name
</EM>(
<EM>type
</EM> *ptr);
<P><B> <TT>%sizeof(type [,name=type])
</TT></B></P>
<P> Creates the constant:
</P>
%constant int sizeof_
<EM>name
</EM> = sizeof(
<EM>type
</EM>);
<P><B> <TT>%allocators(type [,name=type])
</TT></B></P>
<P> Generates wrappers for all five of the above operations.
</P>
<P> Here is a simple example that illustrates the use of these macros:
</P>
%include
"cmalloc.i
"<P> Now, in a script:
</P>
>>> from example import *
>>> a = malloc_int()
>>> b = malloc_intp()
>>> free_intp(b)
>>> c = calloc_double(
50)
>>> c = realloc_double(
100000)
>>> free_double(c)
>>> print sizeof_double
<H3><A name=
"Library_nn7"></A>8.2.4 cdata.i
</H3>
<P> The
<TT>cdata.i
</TT> module defines functions for converting raw C
data to and from strings in the target language. The primary
applications of this module would be packing/unpacking of binary data
structures---for instance, if you needed to extract data from a buffer.
The target language must support strings with embedded binary data in
order for this to work.
</P><P><B> <TT>char *cdata(void *ptr, int nbytes)
</TT></B></P>
<P> Converts
<TT>nbytes
</TT> of data at
<TT>ptr
</TT> into a string.
<TT>
ptr
</TT> can be any pointer.
</P><P><B> <TT>void memmove(void *ptr, char *s)
</TT></B></P>
<P> Copies all of the string data in
<TT>s
</TT> into the memory pointed
to by
<TT>ptr
</TT>. The string may contain embedded NULL bytes. The
length of the string is implicitly determined in the underlying wrapper
<P> One use of these functions is packing and unpacking data from
memory. Here is a short example:
</P>%include
"carrays.i
"%include
"cdata.i
"%array_class(int, intArray);
>>> a = intArray(
10)
>>> for i in range(
0,
10):
>>> b = cdata(a,
40)
'\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x02\x00\x00\x00\x03\x00\x00\x00\x04
\x00\x00\x00\x05\x00\x00\x00\x06\x00\x00\x00\x07\x00\x00\x00\x08\x00\x00\x00\t'
>>> c = intArray(
10)
>>> memmove(c,b)
<P> Since the size of data is not always known, the following macro is
<P><B> <TT>%cdata(type [,name=type])
</TT></B></P>
<P> Generates the following function for extracting C data for a given
char *cdata_
<EM>name
</EM>(type* ptr, int nitems)
<P> <TT>nitems
</TT> is the number of items of the given type to extract.
</P>
<P><B> Note:
</B> These functions provide direct access to memory and can
be used to overwrite data. Clearly they are unsafe.
</P><H2><A name=
"Library_nn8"></A>8.3 C String Handling
</H2>
<P> A common problem when working with C programs is dealing with
functions that manipulate raw character data using
<TT>char *
</TT>. In
part, problems arise because there are different interpretations of
<TT>char *
</TT>---it could be a NULL-terminated string or it could point to
binary data. Moreover, functions that manipulate raw strings may mutate
data, perform implicit memory allocations, or utilize fixed-sized
<P> The problems (and perils) of using
<TT>char *
</TT> are well-known.
However, SWIG is not in the business of enforcing morality. The modules
in this section provide basic functionality for manipulating raw C
<H3><A name=
"Library_nn9"></A>8.3.1 Default string handling
</H3>
<P> Suppose you have a C function with this prototype:
</P>
<P> The default wrapping behavior for this function is to set
<TT>s
</TT>
to a raw
<TT>char *
</TT> that refers to the internal string data in the
target language. In other words, if you were using a language like Tcl,
<P> then
<TT>s
</TT> would point to the representation of
"Hello
" inside
the Tcl interpreter. When returning a
<TT>char *
</TT>, SWIG assumes
that it is a NULL-terminated string and makes a copy of it. This gives
the target language its own copy of the result.
</P><P> There are obvious problems with the default behavior. First, since a
<TT>char *
</TT> argument points to data inside the target language, it
is
<B> NOT
</B> safe for a function to modify this data (doing so may
corrupt the interpreter and lead to a crash). Furthermore, the default
behavior does not work well with binary data. Instead, strings are
assumed to be NULL-terminated.
</P><H3><A name=
"Library_nn10"></A>8.3.2 Passing binary data
</H3>
<P> If you have a function that expects binary data,
</P>
int parity(char *str, int len, int initial);
<P> you can wrap the parameters
<TT>(char *str, int len)
</TT> as a
single argument using a typemap. Just do this:
</P>%apply (char *STRING, int LENGTH) { (char *str, int len) };
int parity(char *str, int len, int initial);
<P> Now, in the target language, you can use binary string data like
>>> s =
"H\x00\x15eg\x09\x20
"
<P> In the wrapper function, the passed string will be expanded to a
pointer and length parameter.
</P><H3><A name=
"Library_nn11"></A>8.3.3 Using %newobject to release memory
</H3>
<P> If you have a function that allocates memory like this,
</P>
char *result = (char *) malloc(...);
<P> then the SWIG generated wrappers will have a memory leak--the
returned data will be copied into a string object and the old contents
<P> To fix the memory leak, use the
<TT>%newobject
</TT> directive.
</P>
<P> This will release the result.
</P>
<H3><A name=
"Library_nn12"></A>8.3.4 cstring.i
</H3>
<P> The
<TT>cstring.i
</TT> library file provides a collection of macros
for dealing with functions that either mutate string arguments or which
try to output string data through their arguments. An example of such a
function might be this rather questionable implementation:
</P> // Potential buffer overflow---uh, oh.
sprintf(s,
"%s/%s
", base_directory, sub_directory);
// Somewhere else in the C program
<P> (Off topic rant: If your program really has functions like this, you
would be well-advised to replace them with safer alternatives involving
<P> The macros defined in this module all expand to various combinations
of typemaps. Therefore, the same pattern matching rules and ideas
<P><B> %cstring_bounded_output(parm, maxsize)
</B></P>
<P> Turns parameter
<TT><EM>parm
</EM></TT> into an output value. The
output string is assumed to be NULL-terminated and smaller than
<TT><EM>maxsize
</EM></TT> characters. Here is an example:
</P>%cstring_bounded_output(char *path,
1024);
void get_path(char *path);
<P> In the target language:
</P>
/home/beazley/packages/Foo/Bar
<P> Internally, the wrapper function allocates a small buffer (on the
stack) of the requested size and passes it as the pointer value. Data
stored in the buffer is then returned as a function return value. If
the function already returns a value, then the return value and the
output string are returned together (multiple return values).
<B> If
more than
<TT><EM>maxsize
</EM></TT> bytes are written, your program
will crash with a buffer overflow!
</B></P><P><B> %cstring_chunk_output(parm, chunksize)
</B></P>
<P> Turns parameter
<TT><EM>parm
</EM></TT> into an output value. The
output string is always
<TT><EM>chunksize
</EM></TT> and may contain
binary data. Here is an example:
</P>%cstring_chunk_output(char *packet, PACKETSIZE);
void get_packet(char *packet);
<P> In the target language:
</P>
>>> get_packet()
'\xa9Y:\xf6\xd7\xe1\x87\xdbH;y\x97\x7f
"\xd3\x99\x14V\xec\x06\xea\xa2\x88'
<P> This macro is essentially identical to
<TT>%cstring_bounded_output
</TT>
. The only difference is that the result is always
<TT><EM>chunksize
</EM></TT> characters. Furthermore, the result can contain binary data.
<B> If
more than
<TT><EM>maxsize
</EM></TT> bytes are written, your program
will crash with a buffer overflow!
</B></P><P><B> %cstring_bounded_mutable(parm, maxsize)
</B></P>
<P> Turns parameter
<TT><EM>parm
</EM></TT> into a mutable string
argument. The input string is assumed to be NULL-terminated and smaller
than
<TT><EM>maxsize
</EM></TT> characters. The output string is also
assumed to be NULL-terminated and less than
<TT><EM>maxsize
</EM></TT>%cstring_bounded_mutable(char *ustr,
1024);
void make_upper(char *ustr);
<P> In the target language:
</P>
>>> make_upper(
"hello world
")
<P> Internally, this macro is almost exactly the same as
<TT>
%cstring_bounded_output
</TT>. The only difference is that the parameter
accepts an input value that is used to initialize the internal buffer.
It is important to emphasize that this function does not mutate the
string value passed---instead it makes a copy of the input value,
mutates it, and returns it as a result.
<B> If more than
<TT><EM>maxsize
</EM></TT> bytes are written, your program will crash with a buffer overflow!
</B>
<P><B> %cstring_mutable(parm [, expansion])
</B></P>
<P> Turns parameter
<TT><EM>parm
</EM></TT> into a mutable string
argument. The input string is assumed to be NULL-terminated. An
optional parameter
<TT><EM>expansion
</EM></TT> specifies the number of
extra characters by which the string might grow when it is modified.
The output string is assumed to be NULL-terminated and less than the
size of the input string plus any expansion characters.
</P>%cstring_mutable(char *ustr);
void make_upper(char *ustr);
%cstring_mutable(char *hstr, HEADER_SIZE);
void attach_header(char *hstr);
<P> In the target language:
</P>
>>> make_upper(
"hello world
")
>>> attach_header(
"Hello world
")
<P> This macro differs from
<TT>%cstring_bounded_mutable()
</TT> in that
a buffer is dynamically allocated (on the heap using
<TT>malloc/new
</TT>). This buffer is always large enough to store a copy of the input value
plus any expansion bytes that might have been requested. It is
important to emphasize that this function does not directly mutate the
string value passed---instead it makes a copy of the input value,
mutates it, and returns it as a result.
<B> If the function expands the
result by more than
<TT><EM>expansion
</EM></TT> extra bytes, then the
program will crash with a buffer overflow!
</B></P><P><B> %cstring_output_maxsize(parm, maxparm)
</B></P>
<P> This macro is used to handle bounded character output functions
where both a
<TT>char *
</TT> and a maximum length parameter are
provided. As input, a user simply supplies the maximum length. The
return value is assumed to be a NULL-terminated string.
</P>%cstring_output_maxsize(char *path, int maxpath);
void get_path(char *path, int maxpath);
<P> In the target language:
</P>
>>> get_path(
1024)
'/home/beazley/Packages/Foo/Bar'
<P> This macro provides a safer alternative for functions that need to
write string data into a buffer. User supplied buffer size is used to
dynamically allocate memory on heap. Results are placed into that
buffer and returned as a string object.
</P><P><B> %cstring_output_withsize(parm, maxparm)
</B></P>
<P> This macro is used to handle bounded character output functions
where both a
<TT>char *
</TT> and a pointer
<TT>int *
</TT> are passed.
Initially, the
<TT>int *
</TT> parameter points to a value containing
the maximum size. On return, this value is assumed to contain the
actual number of bytes. As input, a user simply supplies the maximum
length. The output value is a string that may contain binary data.
</P>%cstring_output_withsize(char *data, int *maxdata);
void get_data(char *data, int *maxdata);
<P> In the target language:
</P>
>>> get_data(
1024)
>>> get_data(
1024)
<P> This macro is a somewhat more powerful version of
<TT>
%cstring_output_chunk()
</TT>. Memory is dynamically allocated and can be
arbitrary large. Furthermore, a function can control how much data is
actually returned by changing the value of the
<TT>maxparm
</TT><P><B> %cstring_output_allocate(parm, release)
</B></P>
<P> This macro is used to return strings that are allocated within the
program and returned in a parameter of type
<TT>char **
</TT>. For
*s = (char *) malloc(
64);
sprintf(*s,
"Hello world\n
");
<P> The returned string is assumed to be NULL-terminated.
<TT><EM>
release
</EM></TT> specifies how the allocated memory is to be released
(if applicable). Here is an example:
</P>%cstring_output_allocate(char **s, free(*$
1));
<P> In the target language:
</P>
<P><B> %cstring_output_allocate_size(parm, szparm, release)
</B></P>
<P> This macro is used to return strings that are allocated within the
program and returned in two parameters of type
<TT>char **
</TT> and
<TT>int *
</TT>. For example:
</P>void foo(char **s, int *sz) {
*s = (char *) malloc(
64);
// Write some binary data
<P> The returned string may contain binary data.
<TT><EM>release
</EM></TT>
specifies how the allocated memory is to be released (if applicable).
%cstring_output_allocate_size(char **s, int *slen, free(*$
1));
void foo(char **s, int *slen);
<P> In the target language:
</P>
'\xa9Y:\xf6\xd7\xe1\x87\xdbH;y\x97\x7f
"\xd3\x99\x14V\xec\x06\xea\xa2\x88'
<P> This is the safest and most reliable way to return binary string
data in SWIG. If you have functions that conform to another prototype,
you might consider wrapping them with a helper function. For example,
char *get_data(int *len);
<P> You could wrap it with a function like this:
</P>
void my_get_data(char **result, int *len) {
<LI>Support for the
<TT>cstring.i
</TT> module depends on the target
language. Not all SWIG modules currently support this library.
</LI><LI>Reliable handling of raw C strings is a delicate topic. There are
many ways to accomplish this in SWIG. This library provides support for
a few common techniques.
</LI><LI>If used in C++, this library uses
<TT>new
</TT> and
<TT>delete []
</TT>
for memory allocation. If using ANSI C, the library uses
<TT>malloc()
</TT> and
<TT>free()
</TT>.
</LI><LI>Rather than manipulating
<TT>char *
</TT> directly, you might
consider using a special string structure or class instead.
</LI><H2><A name=
"Library_stl_cpp_library"></A>8.4 STL/C++ Library
</H2>
<P> The library modules in this section provide access to parts of the
standard C++ library including the STL. SWIG support for the STL is an
ongoing effort. Support is quite comprehensive for some language
modules but some of the lesser used modules do not have quite as much
library code written.
</P><P> The following table shows which C++ classes are supported and the
equivalent SWIG interface library file for the C++ library.
</P><TABLE BORDER
summary=
"SWIG C++ library files">
<TR VALIGN=
"TOP"><TD><B>C++ class
</B></TD><TD><B>C++ Library file
</B></TD><TD>
<B>SWIG Interface library file
</B></TD></TR>
<TR><TD>std::deque
</TD><TD>deque
</TD><TD>std_deque.i
</TD></TR>
<TR><TD>std::list
</TD><TD>list
</TD><TD>std_list.i
</TD></TR>
<TR><TD>std::map
</TD><TD>map
</TD><TD>std_map.i
</TD></TR>
<TR><TD>std::pair
</TD><TD>utility
</TD><TD>std_pair.i
</TD></TR>
<TR><TD>std::set
</TD><TD>set
</TD><TD>std_set.i
</TD></TR>
<TR><TD>std::string
</TD><TD>string
</TD><TD>std_string.i
</TD></TR>
<TR><TD>std::vector
</TD><TD>vector
</TD><TD>std_vector.i
</TD></TR>
<P> The list is by no means complete; some language modules support a
subset of the above and some support additional STL classes. Please
look for the library files in the appropriate language library
<H3><A name=
"Library_nn14"></A>8.4.1 std_string.i
</H3>
<P> The
<TT>std_string.i
</TT> library provides typemaps for converting
C++
<TT>std::string
</TT> objects to and from strings in the target
scripting language. For example:
</P>%include
"std_string.i
"void bar(const std::string
&x);
<P> In the target language:
</P>
x = foo(); # Returns a string object
bar(
"Hello World
"); # Pass string as std::string
<P> This module only supports types
<TT>std::string
</TT> and
<TT>const
std::string
&</TT>. Pointers and non-const references are left
unmodified and returned as SWIG pointers.
</P><P> This library file is fully aware of C++ namespaces. If you export
<TT>
std::string
</TT> or rename it with a typedef, make sure you include
those declarations in your interface. For example:
</P>%include
"std_string.i
"typedef std::string String;
void foo(string s, const String
&t); // std_string typemaps still applied
<P><B> Note:
</B> The
<TT>std_string
</TT> library is incompatible with
Perl on some platforms. We're looking into it.
</P><H3><A name=
"Library_nn15"></A>8.4.2 std_vector.i
</H3>
<P> The
<TT>std_vector.i
</TT> library provides support for the C++
<TT>
vector
</TT> class in the STL. Using this library involves the use of the
<TT>%template
</TT> directive. All you need to do is to instantiate
different versions of
<TT>vector
</TT> for the types that you want to
%include
"std_vector.i
" %template(vectori) vector
<int
>;
%template(vectord) vector
<double
>;
<P> When a template
<TT>vector
<X
></TT> is instantiated a number of
<LI>A class that exposes the C++ API is created in the target language .
This can be used to create objects, invoke methods, etc. This class is
currently a subset of the real STL vector class.
</LI><LI>Input typemaps are defined for
<TT>vector
<X
></TT>,
<TT>const
vector
<X
> &</TT>, and
<TT>const vector
<X
> *
</TT>. For each of these, a
pointer
<TT>vector
<X
> *
</TT> may be passed or a native list object in
the target language.
</LI><LI>An output typemap is defined for
<TT>vector
<X
></TT>. In this case,
the values in the vector are expanded into a list object in the target
<LI>For all other variations of the type, the wrappers expect to receive
a
<TT>vector
<X
> *
</TT> object in the usual manner.
</LI><LI>An exception handler for
<TT>std::out_of_range
</TT> is defined.
</LI>
<LI>Optionally, special methods for indexing, item retrieval, slicing,
and element assignment may be defined. This depends on the target
<P> To illustrate the use of this library, consider the following
#include
<algorithm
>#include
<functional
>double average(std::vector
<int
> v) {
return std::accumulate(v.begin(),v.end(),
0.0)/v.size();
std::vector
<double
> half(const std::vector
<double
>& v) {
std::vector
<double
> w(v);
for (unsigned int i=
0; i
<w.size(); i++)
void halve_in_place(std::vector
<double
>& v) {
std::transform(v.begin(),v.end(),v.begin(),
std::bind2nd(std::divides
<double
>(),
2.0));
<P> To wrap with SWIG, you might write the following:
</P>
#include
"example.h
"%include
"std_vector.i
"// Instantiate templates used by example
%template(IntVector) vector
<int
>;
%template(DoubleVector) vector
<double
>;
// Include the header file with above prototypes
%include
"example.h
"<P> Now, to illustrate the behavior in the scripting interpreter,
consider this Python example:
</P>>>> from example import *
>>> iv = IntVector(
4) # Create an vector
<int
>
>>> for i in range(
0,
4):
>>> average(iv) # Call method
>>> average([
0,
1,
2,
3]) # Call with list
>>> half([
1,
2,
3]) # Half a list
>>> halve_in_place([
1,
2,
3]) # Oops
Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
TypeError: Type error. Expected _p_std__vectorTdouble_t
>>> dv = DoubleVector(
4)
>>> for i in range(
0,
4):
>>> halve_in_place(dv) # Ok
>>> for i in dv:
>>> dv[
20] =
4.5
Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
File
"example.py
", line
81, in __setitem__
def __setitem__(*args): return apply(examplec.DoubleVector___setitem__,args)
IndexError: vector index out of range
<P> This library module is fully aware of C++ namespaces. If you use
vectors with other names, make sure you include the appropriate
<TT>using
</TT> or typedef directives. For example:
</P>%include
"std_vector.i
" %template(IntVector) vector
<int
>;
typedef std::vector Vector;
void foo(vector
<int
> *x, const Vector
&x);
<P><B> Note:
</B> This module makes use of several advanced SWIG features
including templatized typemaps and template partial specialization. If
you are tring to wrap other C++ code with templates, you might look at
the code contained in
<TT>std_vector.i
</TT>. Alternatively, you can
show them the code if you want to make their head explode.
</P><P><B> Note:
</B> This module is defined for all SWIG target languages.
However argument conversion details and the public API exposed to the
<P><B> Note:
</B> <TT>std_vector.i
</TT> was written by Luigi
"The
Amazing
" Ballabio.
</P><H3><A name=
"Library_stl_exceptions"></A>8.4.3 STL exceptions
</H3>
<P> Many of the STL wrapper functions add parameter checking and will
throw a language dependent error/exception should the values not be
valid. The classic example is array bounds checking. The library
wrappers are written to throw a C++ exception in the case of error. The
C++ exception in turn gets converted into an appropriate
error/exception for the target language. By and large this handling
should not need customising, however, customisation can easily be
achieved by supplying appropriate
"throws
" typemaps. For example:
</P>%include
"std_vector.i
"%typemap(throws) std::out_of_range {
// custom exception handler
%template(VectInt) std::vector
<int
>;
<P> The custom exception handler might, for example, log the exception
then convert it into a specific error/exception for the target
<P> When using the STL it is advisable to add in an exception handler to
catch all STL exceptions. The
<TT>%exception
</TT> directive can be used
by placing the following code before any other methods or libraries to
%include
"exception.i
" } catch (const std::exception
& e) {
SWIG_exception(SWIG_RuntimeError, e.what());
<P> Any thrown STL exceptions will then be gracefully handled instead of
<H2><A name=
"Library_nn16"></A>8.5 Utility Libraries
</H2>
<H3><A name=
"Library_nn17"></A>8.5.1 exception.i
</H3>
<P> The
<TT>exception.i
</TT> library provides a language-independent
function for raising a run-time exception in the target language. This
library is largely used by the SWIG library writers. If possible, use
the error handling scheme available to your target language as there is
greater flexibility in what errors/exceptions can be thrown.
</P><P><B> <TT>SWIG_exception(int code, const char *message)
</TT></B></P>
<P> Raises an exception in the target language.
<TT>code
</TT> is one of
the following symbolic constants:
</P><P> <TT>message
</TT> is a string indicating more information about the
<P> The primary use of this module is in writing language-independent
exception handlers. For example:
</P>%include
"exception.i
"%exception std::vector::getitem {
} catch (std::out_of_range
& e) {
SWIG_exception(SWIG_IndexError,const_cast
<char*
>(e.what()));
<H1><A name=
"Arguments"></A>9 Argument Handling
</H1>
<LI><A href=
"#Arguments_nn2">The typemaps.i library
</A>
<LI><A href=
"#Arguments_nn3">Introduction
</A></LI>
<LI><A href=
"#Arguments_nn4">Input parameters
</A></LI>
<LI><A href=
"#Arguments_nn5">Output parameters
</A></LI>
<LI><A href=
"#Arguments_nn6">Input/Output parameters
</A></LI>
<LI><A href=
"#Arguments_nn7">Using different names
</A></LI>
<LI><A href=
"#Arguments_nn8">Applying constraints to input values
</A>
<LI><A href=
"#Arguments_nn9">Simple constraint example
</A></LI>
<LI><A href=
"#Arguments_nn10">Constraint methods
</A></LI>
<LI><A href=
"#Arguments_nn11">Applying constraints to new datatypes
</A></LI>
<B> Disclaimer: This chapter is under construction.
</B>
<P> In Chapter
3, SWIG's treatment of basic datatypes and pointers was
described. In particular, primitive types such as
<TT>int
</TT> and
<TT>double
</TT> are mapped to corresponding types in the target language.
For everything else, pointers are used to refer to structures, classes,
arrays, and other user-defined datatypes. However, in certain
applications it is desirable to change SWIG's handling of a specific
datatype. For example, you might want to return multiple values through
the arguments of a function. This chapter describes some of the
techniques for doing this.
</P><H2><A name=
"Arguments_nn2"></A>9.1 The typemaps.i library
</H2>
<P> This section describes the
<TT>typemaps.i
</TT> library
file--commonly used to change certain properties of argument
<H3><A name=
"Arguments_nn3"></A>9.1.1 Introduction
</H3>
<P> Suppose you had a C function like this:
</P>
void add(double a, double b, double *result) {
<P> From reading the source code, it is clear that the function is
storing a value in the
<TT>double *result
</TT> parameter. However,
since SWIG does not examine function bodies, it has no way to know that
this is the underlying behavior.
</P><P> One way to deal with this is to use the
<TT>typemaps.i
</TT> library
file and write interface code like this:
</P>// Simple example using typemaps
%include
"typemaps.i
"%apply double *OUTPUT { double *result };
extern void add(double a, double b, double *result);
<P> The
<TT>%apply
</TT> directive tells SWIG that you are going to apply
a special type handling rule to a type. The
"<TT>double *OUTPUT
</TT>" specification is the name of a rule that defines how to return an
output value from an argument of type
<TT>double *
</TT>. This rule gets
applied to all of the datatypes listed in curly braces-- in this case
"<TT>double *result
</TT>".
</P><P> When the resulting module is created, you can now use the function
like this (shown for Python):
</P>>>> a = add(
3,
4)
<P> In this case, you can see how the output value normally returned in
the third argument has magically been transformed into a function
return value. Clearly this makes the function much easier to use since
it is no longer necessary to manufacture a special
<TT>double *
</TT> object and pass it to the function somehow.
</P><P> Once a typemap has been applied to a type, it stays in effect for
all future occurrences of the type and name. For example, you could
%include
"typemaps.i
"%apply double *OUTPUT { double *result };
extern void add(double a, double b, double *result);
extern void sub(double a, double b, double *result);
extern void mul(double a, double b, double *result);
extern void div(double a, double b, double *result);
<P> In this case, the
<TT>double *OUTPUT
</TT> rule is applied to all of
the functions that follow.
</P><P> Typemap transformations can even be extended to multiple return
values. For example, consider this code:
</P>%include
"typemaps.i
"%apply int *OUTPUT { int *width, int *height };
// Returns a pair (width,height)
void getwinsize(int winid, int *width, int *height);
<P> In this case, the function returns multiple values, allowing it to
>>> w,h = genwinsize(wid)
<P> It should also be noted that although the
<TT>%apply
</TT> directive
is used to associate typemap rules to datatypes, you can also use the
rule names directly in arguments. For example, you could write this:
</P>// Simple example using typemaps
%include
"typemaps.i
"extern void add(double a, double b, double *OUTPUT);
extern void add(double a, double b, double *OUTPUT);
<P> Typemaps stay in effect until they are explicitly deleted or
redefined to something else. To clear a typemap, the
<TT>%clear
</TT> directive should be used. For example:
</P>%clear double *result; // Remove all typemaps for double *result
<H3><A name=
"Arguments_nn4"></A>9.1.2 Input parameters
</H3>
<P> The following typemaps instruct SWIG that a pointer really only
holds a single input value:
</P><P> When used, it allows values to be passed instead of pointers. For
example, consider this function:
</P>double add(double *a, double *b) {
<P> Now, consider this SWIG interface:
</P>
%include
"typemaps.i
"extern double add(double *, double *);
extern double add(double *INPUT, double *INPUT);
<P> When the function is used in the scripting language interpreter, it
<H3><A name=
"Arguments_nn5"></A>9.1.3 Output parameters
</H3>
<P> The following typemap rules tell SWIG that pointer is the output
value of a function. When used, you do not need to supply the argument
when calling the function. Instead, one or more output values are
<P> These methods can be used as shown in an earlier example. For
example, if you have this C function :
</P>void add(double a, double b, double *c) {
<P> A SWIG interface file might look like this :
</P>
%include
"typemaps.i
"extern void add(double a, double b, double *OUTPUT);
<P> In this case, only a single output value is returned, but this is
not a restriction. An arbitrary number of output values can be returned
by applying the output rules to more than one argument (as shown
<P> If the function also returns a value, it is returned along with the
argument. For example, if you had this:
</P>extern int foo(double a, double b, double *OUTPUT);
<P> The function will return two values like this:
</P>
iresult, dresult = foo(
3.5,
2)
<H3><A name=
"Arguments_nn6"></A>9.1.4 Input/Output parameters
</H3>
<P> When a pointer serves as both an input and output value you can use
the following typemaps :
</P><P> A C function that uses this might be something like this:
</P>
<P> To make x function as both and input and output value, declare the
function like this in an interface file :
</P>extern void negate(double *);
extern void negate(double *INOUT);
<P> Now within a script, you can simply call the function normally :
</P>
a = negate(
3); # a = -
3 after calling this
<P> One subtle point of the
<TT>INOUT
</TT> rule is that many scripting
languages enforce mutability constraints on primitive objects (meaning
that simple objects like integers and strings aren't supposed to
change). Because of this, you can't just modify the object's value in
place as the underlying C function does in this example. Therefore, the
<TT>INOUT
</TT> rule returns the modified value as a new object rather
than directly overwriting the value of the original input object.
</P><P><B> Compatibility note :
</B> The
<TT>INOUT
</TT> rule used to be known
as
<TT>BOTH
</TT> in earlier versions of SWIG. Backwards compatibility
is preserved, but deprecated.
</P><H3><A name=
"Arguments_nn7"></A>9.1.5 Using different names
</H3>
<P> As previously shown, the
<TT>%apply
</TT> directive can be used to
apply the
<TT>INPUT
</TT>,
<TT>OUTPUT
</TT>, and
<TT>INOUT
</TT> typemaps
to different argument names. For example:
</P>// Make double *result an output value
%apply double *OUTPUT { double *result };
// Make Int32 *in an input value
%apply int *INPUT { Int32 *in };
%apply long *INOUT {long *x};
<P> To clear a rule, the
<TT>%clear
</TT> directive is used:
</P>
%clear Int32 *in, long *x;
<P> Typemap declarations are lexically scoped so a typemap takes effect
from the point of definition to the end of the file or a matching
<TT>%clear
</TT> declaration.
</P><H2><A name=
"Arguments_nn8"></A>9.2 Applying constraints to input values
</H2>
<P> In addition to changing the handling of various input values, it is
also possible to use typemaps to apply constraints. For example, maybe
you want to insure that a value is positive, or that a pointer is
non-NULL. This can be accomplished including the
<TT>constraints.i
</TT><H3><A name=
"Arguments_nn9"></A>9.2.1 Simple constraint example
</H3>
<P> The constraints library is best illustrated by the following
// Interface file with constraints
%include
"constraints.i
"double log(double POSITIVE); // Allow only positive values
double sqrt(double NONNEGATIVE); // Non-negative values only
double inv(double NONZERO); // Non-zero values
void free(void *NONNULL); // Non-NULL pointers only
<P> The behavior of this file is exactly as you would expect. If any of
the arguments violate the constraint condition, a scripting language
exception will be raised. As a result, it is possible to catch bad
values, prevent mysterious program crashes and so on.
</P><H3><A name=
"Arguments_nn10"></A>9.2.2 Constraint methods
</H3>
<P> The following constraints are currently available
</P>
POSITIVE Any number
> 0 (not zero)
NEGATIVE Any number
< 0 (not zero)
NONNEGATIVE Any number
>=
0NONPOSITIVE Any number
<=
0NONNULL Non-NULL pointer (pointers only).
<H3><A name=
"Arguments_nn11"></A>9.2.3 Applying constraints to new
<P> The constraints library only supports the primitive C datatypes, but
it is easy to apply it to new datatypes using
<TT>%apply
</TT>. For
// Apply a constraint to a Real variable
%apply Number POSITIVE { Real in };
// Apply a constraint to a pointer type
%apply Pointer NONNULL { Vector * };
<P> The special types of
"Number
" and
"Pointer
" can be applied to any
numeric and pointer variable type respectively. To later remove a
constraint, the
<TT>%clear
</TT> directive can be used :
</P><H1><A name=
"Typemaps"></A>10 Typemaps
</H1>
<LI><A href=
"#Typemaps_nn2">Introduction
</A>
<LI><A href=
"#Typemaps_nn3">Type conversion
</A></LI>
<LI><A href=
"#Typemaps_nn4">Typemaps
</A></LI>
<LI><A href=
"#Typemaps_nn5">Pattern matching
</A></LI>
<LI><A href=
"#Typemaps_nn6">Reusing typemaps
</A></LI>
<LI><A href=
"#Typemaps_nn7">What can be done with typemaps?
</A></LI>
<LI><A href=
"#Typemaps_nn8">What can't be done with typemaps?
</A></LI>
<LI><A href=
"#Typemaps_nn9">The rest of this chapter
</A></LI>
<LI><A href=
"#Typemaps_nn10">Typemap specifications
</A>
<LI><A href=
"#Typemaps_nn11">Defining a typemap
</A></LI>
<LI><A href=
"#Typemaps_nn12">Typemap scope
</A></LI>
<LI><A href=
"#Typemaps_nn13">Copying a typemap
</A></LI>
<LI><A href=
"#Typemaps_nn14">Deleting a typemap
</A></LI>
<LI><A href=
"#Typemaps_nn15">Placement of typemaps
</A></LI>
<LI><A href=
"#Typemaps_nn16">Pattern matching rules
</A>
<LI><A href=
"#Typemaps_nn17">Basic matching rules
</A></LI>
<LI><A href=
"#Typemaps_nn18">Typedef reductions
</A></LI>
<LI><A href=
"#Typemaps_nn19">Default typemaps
</A></LI>
<LI><A href=
"#Typemaps_mixed_default">Mixed default typemaps
</A></LI>
<LI><A href=
"#Typemaps_nn20">Multi-arguments typemaps
</A></LI>
<LI><A href=
"#Typemaps_nn21">Code generation rules
</A>
<LI><A href=
"#Typemaps_nn22">Scope
</A></LI>
<LI><A href=
"#Typemaps_nn23">Declaring new local variables
</A></LI>
<LI><A href=
"#Typemaps_nn24">Special variables
</A></LI>
<LI><A href=
"#Typemaps_nn25">Common typemap methods
</A>
<LI><A href=
"#Typemaps_nn26">"in
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn27">"typecheck
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn28">"out
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn29">"arginit
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn30">"default
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn31">"check
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn32">"argout
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn33">"freearg
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn34">"newfree
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn35">"memberin
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn36">"varin
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn37">"varout
" typemap
</A></LI>
<LI><A href=
"#throws_typemap">"throws
" typemap
</A></LI>
<LI><A href=
"#Typemaps_nn39">Some typemap examples
</A>
<LI><A href=
"#Typemaps_nn40">Typemaps for arrays
</A></LI>
<LI><A href=
"#Typemaps_nn41">Implementing constraints with typemaps
</A></LI>
<LI><A href=
"#Typemaps_nn42">Multi-argument typemaps
</A></LI>
<LI><A href=
"#runtime_type_checker">The run-time type checker
</A>
<LI><A href=
"#Typemaps_nn45">Implementation
</A></LI>
<LI><A href=
"#Typemaps_nn46">Usage
</A></LI>
<LI><A href=
"#Typemaps_overloading">Typemaps and overloading
</A></LI>
<LI><A href=
"#Typemaps_nn48">More about
<TT>%apply
</TT> and
<TT>%clear
</TT>
<LI><A href=
"#Typemaps_nn49">Reducing wrapper code size
</A></LI>
<LI><A href=
"#Typemaps_nn47">Passing data between typemaps
</A></LI>
<LI><A href=
"#Typemaps_nn51">Where to go for more information?
</A></LI>
<P><B> Disclaimer: This chapter is under construction!
</B></P>
<H2><A name=
"Typemaps_nn2"></A>10.1 Introduction
</H2>
<P> Chances are, you are reading this chapter for one of two reasons;
you either want to customize SWIG's behavior or you overheard someone
mumbling some incomprehensible drivel about
"typemaps
" and you asked
yourself
"typemaps, what are those?
" That said, let's start with a
short disclaimer that
"typemaps
" are an advanced customization feature
that provide direct access to SWIG's low-level code generator. Not only
that, they are an integral part of the SWIG C++ type system (a
non-trivial topic of its own). Typemaps are generally
<EM> not
</EM> a
required part of using SWIG. Therefore, you might want to re-read the
earlier chapters if you have found your way to this chapter with only a
vaque idea of what SWIG already does by default.
</P><H3><A name=
"Typemaps_nn3"></A>10.1.1 Type conversion
</H3>
<P> One of the most important problems in wrapper code generation is the
conversion of datatypes between programming languages. Specifically,
for every C/C++ declaration, SWIG must somehow generate wrapper code
that allows values to be passed back and forth between languages. Since
every programming language represents data differently, this is not a
simple of matter of simply linking code together with the C linker.
Instead, SWIG has to know something about how data is represented in
each language and how it can be manipulated.
</P><P> To illustrate, suppose you had a simple C function like this:
</P>
<P> To access this function from Python, a pair of Python API functions
are used to convert integer values. For example:
</P>long PyInt_AsLong(PyObject *obj); /* Python --
> C */
PyObject *PyInt_FromLong(long x); /* C --
> Python */
<P> The first function is used to convert the input argument from a
Python integer object to C
<TT>long
</TT>. The second function is used
to convert a value from C back into a Python integer object.
</P><P> Inside the wrapper function, you might see these functions used like
PyObject *wrap_factorial(PyObject *self, PyObject *args) {
if (!PyArg_ParseTuple(
"O:factorial
",
&obj1)) return NULL;
<B>arg1 = PyInt_AsLong(obj1);
</B>
result = factorial(arg1);
<B>resultobj = PyInt_FromLong(result);
</B>
<P> Every target language supported by SWIG has functions that work in a
similar manner. For example, in Perl, the following functions are used:
</P>IV SvIV(SV *sv); /* Perl --
> C */
void sv_setiv(SV *sv, IV val); /* C --
> Perl */
int Tcl_GetLongFromObj(Tcl_Interp *interp, Tcl_Obj *obj, long *value);
Tcl_Obj *Tcl_NewIntObj(long value);
<P> The precise details are not so important. What is important is that
all of the underlying type conversion is handled by collections of
utility functions and short bits of C code like this---you simply have
to read the extension documentation for your favorite language to know
how it works (an exercise left to the reader).
</P><H3><A name=
"Typemaps_nn4"></A>10.1.2 Typemaps
</H3>
<P> Since type handling is so central to wrapper code generation, SWIG
allows it to be completely defined (or redefined) by the user. To do
this, a special
<TT>%typemap
</TT> directive is used. For example:
</P>/* Convert from Python --
> C */
$
1 = PyInt_AsLong($input);
/* Convert from C --
> Python */
$result = PyInt_FromLong($
1);
<P> At first glance, this code will look a little confusing. However,
there is really not much to it. The first typemap (the
"in
" typemap) is
used to convert a value from the target language to C. The second
typemap (the
"out
" typemap) is used to convert in the other direction.
The content of each typemap is a small fragment of C code that is
inserted directly into the SWIG generated wrapper functions. Within
this code, a number of special variables prefixed with a $ are
expanded. These are really just placeholders for C variables that are
generated in the course of creating the wrapper function. In this case,
<TT>$input
</TT> refers to an input object that needs to be converted to
C and
<TT>$result
</TT> refers to an object that is going to be returned
by a wrapper function.
<TT>$
1</TT> refers to a C variable that has the
same type as specified in the typemap declaration (an
<TT>int
</TT> in
<P> A short example might make this a little more clear. If you were
wrapping a function like this:
</P><P> A wrapper function would look approximately like this:
</P>
PyObject *wrap_gcd(PyObject *self, PyObject *args) {
if (!PyArg_ParseTuple(
"OO:gcd
",
&obj1,
&obj2)) return NULL;
/*
"in
" typemap, argument
1 */
<B> arg1 = PyInt_AsLong(obj1);
/*
"in
" typemap, argument
2 */
<B> arg2 = PyInt_AsLong(obj2);
/*
"out
" typemap, return value */
<B> resultobj = PyInt_FromLong(result);
<P> In this code, you can see how the typemap code has been inserted
into the function. You can also see how the special $ variables have
been expanded to match certain variable names inside the wrapper
function. This is really the whole idea behind typemaps--they simply
let you insert arbitrary code into different parts of the generated
wrapper functions. Because arbitrary code can be inserted, it possible
to completely change the way in which values are converted.
</P><H3><A name=
"Typemaps_nn5"></A>10.1.3 Pattern matching
</H3>
<P> As the name implies, the purpose of a typemap is to
"map
" C
datatypes to types in the target language. Once a typemap is defined
for a C datatype, it is applied to all future occurrences of that type
in the input file. For example:
</P>/* Convert from Perl --
> C */
%typemap(in)
<B>int
</B> {
int factorial(
<B>int
</B> n);
int gcd(
<B>int
</B> x,
<B>int
</B> y);
int count(char *s, char *t,
<B>int
</B> max);
<P> The matching of typemaps to C datatypes is more than a simple
textual match. In fact, typemaps are fully built into the underlying
type system. Therefore, typemaps are unaffected by
<TT>typedef
</TT>,
namespaces, and other declarations that might hide the underlying type.
For example, you could have code like this:
</P>/* Convert from Ruby--
> C */
%typemap(in)
<B>int
</B> {
int bar(
<B>Integer
</B> y);
int spam(
<B>foo::Number
</B> a,
<B>foo::Number
</B> b);
<P> In this case, the typemap is still applied to the proper arguments
even though typenames don't always match the text
"int
". This ability
to track types is a critical part of SWIG--in fact, all of the target
language modules work merely define a set of typemaps for the basic
types. Yet, it is never necessary to write new typemaps for typenames
introduced by
<TT>typedef
</TT>.
</P><P> In addition to tracking typenames, typemaps may also be specialized
to match against a specific argument name. For example, you could write
%typemap(in)
<B>double nonnegative
</B> {
$
1 = PyFloat_AsDouble($input);
PyErr_SetString(PyExc_ValueError,
"argument must be nonnegative.
");
double sqrt(
<B>double nonnegative
</B>);
double log(
<B>Real nonnegative
</B>);
<P> For certain tasks such as input argument conversion, typemaps can be
defined for sequences of consecutive arguments. For example:
</P>%typemap(in) (
<B>char *str, int len
</B>) {
$
1 = PyString_AsString($input); /* char *str */
$
2 = PyString_Size($input); /* int len */
int count(
<B>char *str, int len
</B>, char c);
<P> In this case, a single input object is expanded into a pair of C
arguments. This example also provides a hint to the unusual variable
naming scheme involving
<TT>$
1</TT>,
<TT>$
2</TT>, and so forth.
</P><H3><A name=
"Typemaps_nn6"></A>10.1.4 Reusing typemaps
</H3>
<P> Typemaps are normally defined for specific type and argument name
patterns. However, typemaps can also be copied and reused. One way to
do this is to use assignment like this:
</P>%typemap(in) Integer = int;
%typemap(in) (char *buffer, int size) = (char *str, int len);
<P> A more general form of copying is found in the
<TT>%apply
</TT>
/* Convert an integer argument */
/* Return an integer value */
/* Apply all of the integer typemaps to size_t */
<P> <TT>%apply
</TT> merely takes
<EM> all
</EM> of the typemaps that are
defined for one type and applies them to other types. Note: you can
include a comma separated set of types in the
<TT>{ ... }
</TT> part of
<TT><P> It should be noted that it is not necessary to copy typemaps for
types that are related by
<TT>typedef
</TT>. For example, if you have
<P> then SWIG already knows that the
<TT>int
</TT> typemaps apply. You
don't have to do anything.
</P><H3><A name=
"Typemaps_nn7"></A>10.1.5 What can be done with typemaps?
</H3>
<P> The primary use of typemaps is for defining wrapper generation
behavior at the level of individual C/C++ datatypes. There are
currently six general categories of problems that typemaps address:
</P><P><B> Argument handling
</B></P>
int foo(
<B>int x, double y, char *s
</B>);
<LI>Input argument conversion (
"in
" typemap).
</LI>
<LI>Input argument type checking (
"typecheck
" typemap).
</LI>
<LI>Output argument handling (
"argout
" typemap).
</LI>
<LI>Input argument value checking (
"check
" typemap).
</LI>
<LI>Input argument initialization (
"arginit
" typemap).
</LI>
<LI>Default arguments (
"default
" typemap).
</LI>
<LI>Input argument resource management (
"freearg
" typemap).
</LI>
<P><B> Return value handling
</B></P>
<B>int
</B> foo(int x, double y, char *s);
<LI>Function return value conversion (
"out
" typemap).
</LI>
<LI>Return value resource management (
"ret
" typemap).
</LI>
<LI>Resource management for newly allocated objects (
"newfree
" typemap).
</LI>
<P><B> Exception handling
</B></P>
<B>int
</B> foo(int x, double y, char *s) throw(
<B>MemoryError, IndexError
</B>);
<LI>Handling of C++ exception specifications. (
"throw
" typemap).
</LI>
<P><B> Global variables
</B></P>
<LI>Assignment of a global variable. (
"varin
" typemap).
</LI>
<LI>Reading a global variable. (
"varout
" typemap).
</LI>
<P><B> Member variables
</B></P>
<LI>Assignment of data to a class/structure member. (
"memberin
"
<P><B> Constant creation
</B></P>
enum { ALE, LAGER, STOUT };
<LI>Creation of constant values. (
"consttab
" or
"constcode
" typemap).
</LI>
<P> Details of each of these typemaps will be covered shortly. Also,
certain language modules may define additional typemaps that expand
upon this list. For example, the Java module defines a variety of
typemaps for controlling additional aspects of the Java bindings.
Consult language specific documentation for further details.
</P><H3><A name=
"Typemaps_nn8"></A>10.1.6 What can't be done with typemaps?
</H3>
<P> Typemaps can't be used to define properties that apply to C/C++
declarations as a whole. For example, suppose you had a declaration
<P> and you wanted to tell SWIG that
<TT>make_Foo()
</TT> returned a
newly allocated object (for the purposes of providing better memory
management). Clearly, this property of
<TT>make_Foo()
</TT> is
<EM> not
</EM> a property that would be associated with the datatype
<TT>Foo *
</TT> by
itself. Therefore, a completely different SWIG customization mechanism
(
<TT>%feature
</TT>) is used for this purpose. Consult the
<A href=
"#Customization">Customization Features
</A> chapter for more information about that.
</P><P> Typemaps also can't be used to rearrange or transform the order of
arguments. For example, if you had a function like this:
</P><P> you can't use typemaps to interchange the arguments, allowing you to
call the function like this:
</P>foo(
"hello
",
3) # Reversed arguments
<P> If you want to change the calling conventions of a function, write a
helper function instead. For example:
</P>void wrap_foo(char *s, int x) {
<H3><A name=
"Typemaps_nn9"></A>10.1.7 The rest of this chapter
</H3>
<P> The rest of this chapter provides detailed information for people
who want to write new typemaps. This information is of particular
importance to anyone who intends to write a new SWIG target language
module. Power users can also use this information to write application
specific type conversion rules.
</P><P> Since typemaps are strongly tied to the underlying C++ type system,
subsequent sections assume that you are reasonably familiar with the
basic details of values, pointers, references, arrays, type qualifiers
(e.g.,
<TT>const
</TT>), structures, namespaces, templates, and memory
management in C/C++. If not, you would be well-advised to consult a
copy of
"The C Programming Language
" by Kernighan and Ritchie or
"The
C++ Programming Language
" by Stroustrup before going any further.
</P><H2><A name=
"Typemaps_nn10"></A>10.2 Typemap specifications
</H2>
<P> This section describes the behavior of the
<TT>%typemap
</TT>
<H3><A name=
"Typemaps_nn11"></A>10.2.1 Defining a typemap
</H3>
<P> New typemaps are defined using the
<TT>%typemap
</TT> declaration.
The general form of this declaration is as follows (parts enclosed in [
%typemap(
<EM>method
</EM> [,
<EM>modifiers
</EM>])
<EM>typelist
</EM> <EM>code
</EM> ;
<P><EM> method
</EM> is a simply a name that specifies what kind of
typemap is being defined. It is usually a name like
<TT>"in
"</TT>,
<TT>"out
"</TT>, or
<TT>"argout
"</TT>. The purpose of these methods is
<P><EM> modifiers
</EM> is an optional comma separated list of
<TT>
name=
"value
"</TT> values. These are sometimes to attach extra
information to a typemap and is often target-language dependent.
</P><P><EM> typelist
</EM> is a list of the C++ type patterns that the
typemap will match. The general form of this list is as follows:
</P>typelist : typepattern [, typepattern, typepattern, ... ] ;
typepattern : type [ (parms) ]
| ( typelist ) [ (parms) ]
<P> Each type pattern is either a simple type, a simple type and
argument name, or a list of types in the case of multi-argument
typemaps. In addition, each type pattern can be parameterized with a
list of temporary variables (parms). The purpose of these variables
will be explained shortly.
</P><P><EM>code
</EM> specifies the C code used in the typemap. It can take
any one of the following forms:
</P><P> Here are some examples of valid typemap specifications:
</P>
/* Simple typemap declarations */
$
1 = PyInt_AsLong($input);
%typemap(in) int
"$
1 = PyInt_AsLong($input);
";
$
1 = PyInt_AsLong($input);
/* Typemap with extra argument name */
%typemap(in) int nonnegative {
/* Multiple types in one typemap */
%typemap(in) int, short, long {
/* Typemap with modifiers */
%typemap(in,doc=
"integer
") int
"$
1 = gh_scm2int($input);
";
/* Typemap applied to patterns of multiple arguments */
%typemap(in) (char *str, int len),
$
1 = PyString_AsString($input);
$
2 = PyString_Size($input);
/* Typemap with extra pattern parameters */
%typemap(in, numinputs=
0) int *output (int temp),
<P> Admittedly, it's not the most readable syntax at first glance.
However, the purpose of the individual pieces will become clear.
</P><H3><A name=
"Typemaps_nn12"></A>10.2.2 Typemap scope
</H3>
<P> Once defined, a typemap remains in effect for all of the
declarations that follow. A typemap may be redefined for different
sections of an input file. For example:
</P>int fact(int); // typemap1
int gcd(int x, int y); // typemap1
int isprime(int); // typemap2
<P> One exception to the typemap scoping rules pertains to the
<TT>
%extend
</TT> declaration.
<TT>%extend
</TT> is used to attach new
declarations to a class or structure definition. Because of this, all
of the declarations in an
<TT>%extend
</TT> block are subject to the
typemap rules that are in effect at the point where the class itself is
defined. For example:
</P> int blah(int x); // typemap has no effect. Declaration is attached to Foo which
// appears before the %typemap declaration.
<H3><A name=
"Typemaps_nn13"></A>10.2.3 Copying a typemap
</H3>
<P> A typemap is copied by using assignment. For example:
</P>
%typemap(in) Integer = int;
%typemap(in) Integer, Number, int32_t = int;
<P> Types are often managed by a collection of different typemaps. For
%typemap(out) int { ... }
%typemap(varin) int { ... }
%typemap(varout) int { ... }
<P> To copy all of these typemaps to a new type, use
<TT>%apply
</TT>.
%apply int { Integer }; // Copy all int typemaps to Integer
%apply int { Integer, Number }; // Copy all int typemaps to both Integer and Number
<P> The patterns for
<TT>%apply
</TT> follow the same rules as for
<TT>
%typemap
</TT>. For example:
</P>%apply int *output { Integer *output }; // Typemap with name
%apply (char *buf, int len) { (char *buffer, int size) }; // Multiple arguments
<H3><A name=
"Typemaps_nn14"></A>10.2.4 Deleting a typemap
</H3>
<P> A typemap can be deleted by simply defining no code. For example:
</P>
%typemap(in) int; // Clears typemap for int
%typemap(in) int, long, short; // Clears typemap for int, long, short
%typemap(in) int *output;
<P> The
<TT>%clear
</TT> directive clears all typemaps for a given type.
%clear int; // Removes all types for int
%clear int *output, long *output;
<P><B> Note:
</B> Since SWIG's default behavior is defined by typemaps,
clearing a fundamental type like
<TT>int
</TT> will make that type
unusable unless you also define a new set of typemaps immediately after
<H3><A name=
"Typemaps_nn15"></A>10.2.5 Placement of typemaps
</H3>
<P> Typemap declarations can be declared in the global scope, within a
C++ namespace, and within a C++ class. For example:
</P> typedef const int
& const_reference;
%typemap(out) const_reference {
<P> When a typemap appears inside a namespace or class, it stays in
effect until the end of the SWIG input (just like before). However, the
typemap takes the local scope into account. Therefore, this code
</P><P> is really defining a typemap for the type
<TT>std::string
</TT>. You
could have code like this:
</P> %typemap(in) string { /* std::string */
%typemap(in) string { /* Foo::string */
<P> In this case, there are two completely distinct typemaps that apply
to two completely different types (
<TT>std::string
</TT> and
<TT><P> It should be noted that for scoping to work, SWIG has to know that
<TT>
string
</TT> is a typename defined within a particular namespace. In this
example, this is done using the class declaration
<TT>class string
</TT><H2><A name=
"Typemaps_nn16"></A>10.3 Pattern matching rules
</H2>
<P> The section describes the pattern matching rules by which C
datatypes are associated with typemaps.
</P><H3><A name=
"Typemaps_nn17"></A>10.3.1 Basic matching rules
</H3>
<P> Typemaps are matched using both a type and a name (typically the
name of a argument). For a given
<TT>TYPE NAME
</TT> pair, the following
rules are applied, in order, to find a match. The first typemap found
<LI>Typemaps that exactly match
<TT>TYPE
</TT> and
<TT>NAME
</TT>.
</LI>
<LI>Typemaps that exactly match
<TT>TYPE
</TT> only.
</LI>
<P> If
<TT>TYPE
</TT> includes qualifiers (const, volatile, etc.), they
are stripped and the following checks are made:
</P><LI>Typemaps that match the stripped
<TT>TYPE
</TT> and
<TT>NAME
</TT>.
</LI>
<LI>Typemaps that match the stripped
<TT>TYPE
</TT> only.
</LI>
<P> If
<TT>TYPE
</TT> is an array. The following transformation is made:
</P>
<LI>Replace all dimensions to
<TT>[ANY]
</TT> and look for a generic
<P> To illustrate, suppose that you had a function like this:
</P>
<P> To find a typemap for the argument
<TT>const char *s
</TT>, SWIG will
search for the following typemaps:
</P>const char *s Exact type and name match
const char * Exact type match
char *s Type and name match (stripped qualifiers)
char * Type match (stripped qualifiers)
<P> When more than one typemap rule might be defined, only the first
match found is actually used. Here is an example that shows how some of
the basic rules are applied:
</P>%typemap(in) const int *z {
void A(int *x); // int *x rule (typemap
1)
void B(int *y); // int * rule (typemap
2)
void C(const int *x); // int *x rule (typemap
1)
void D(const int *z); // int * rule (typemap
3)
void E(int x[
4]); // int [
4] rule (typemap
4)
void F(int x[
1000]); // int [ANY] rule (typemap
5)
<H3><A name=
"Typemaps_nn18"></A>10.3.2 Typedef reductions
</H3>
<P> If no match is found using the rules in the previous section, SWIG
applies a typedef reduction to the type and repeats the typemap search
for the reduced type. To illustrate, suppose you had code like this:
</P><P> To find the typemap for
<TT>Integer x
</TT>, SWIG will first search
for the following typemaps:
</P><P> Finding no match, it then applies a reduction
<TT>Integer -
> int
</TT>
to the type and repeats the search.
</P>int --
> match: typemap
1<P> Even though two types might be the same via typedef, SWIG allows
typemaps to be defined for each typename independently. This allows for
interesting customization possibilities based solely on the typename
itself. For example, you could write code like this:
</P>typedef double pdouble; // Positive double
... get a positive double ...
double sin(double x); // typemap
1pdouble sqrt(pdouble x); // typemap
2<P> When reducing the type, only one typedef reduction is applied at a
time. The search process continues to apply reductions until a match is
found or until no more reductions can be made.
</P><P> For complicated types, the reduction process can generate a long
list of patterns. Consider the following:
</P><P> To find a match for the
<TT>Row4 rows[
10]
</TT> argument, SWIG would
check the following patterns, stopping only when it found a match:
</P># Reduce Row4 --
> Integer[
4]
# Reduce Integer --
> int
<P> For parametized types like templates, the situation is even more
complicated. Suppose you had some declarations like this:
</P>typedef foo
<Integer,Integer
> fooii;
<P> In this case, the following typemap patterns are searched for the
argument
<TT>fooii *x
</TT>:
</P># Reduce fooii --
> foo
<Integer,Integer
>foo
<Integer,Integer
> *x
foo
<Integer,Integer
> *
# Reduce Integer -
> int
foo
<int, Integer
> *x
foo
<int, Integer
> *
# Reduce Integer -
> int
<P> Typemap reductions are always applied to the left-most type that
appears. Only when no reductions can be made to the left-most type are
reductions made to other parts of the type. This behavior means that
you could define a typemap for
<TT>foo
<int,Integer
></TT>, but a typemap
for
<TT>foo
<Integer,int
></TT> would never be matched. Admittedly, this
is rather esoteric--there's little practical reason to write a typemap
quite like that. Of course, you could rely on this to confuse your
<H3><A name=
"Typemaps_nn19"></A>10.3.3 Default typemaps
</H3>
<P> Most SWIG language modules use typemaps to define the default
behavior of the C primitive types. This is entirely straightforward.
For example, a set of typemaps are written like this:
</P>%typemap(in) int
"convert an int
";
%typemap(in) short
"convert a short
";
%typemap(in) float
"convert a float
";
<P> Since typemap matching follows all
<TT>typedef
</TT> declarations,
any sort of type that is mapped to a primitive type through
<TT>typedef
</TT> will be picked up by one of these primitive typemaps.
</P><P> The default behavior for pointers, arrays, references, and other
kinds of types are handled by specifying rules for variations of the
reserved
<TT>SWIGTYPE
</TT> type. For example:
</P>%typemap(in) SWIGTYPE * { ... default pointer handling ... }
%typemap(in) SWIGTYPE
& { ... default reference handling ... }
%typemap(in) SWIGTYPE [] { ... default array handling ... }
%typemap(in) enum SWIGTYPE { ... default handling for enum values ... }
%typemap(in) SWIGTYPE (CLASS::*) { ... default pointer member handling ... }
<P> These rules match any kind of pointer, reference, or array--even
when multiple levels of indirection or multiple array dimensions are
used. Therefore, if you wanted to change SWIG's default handling for
all types of pointers, you would simply redefine the rule for
<TT><P> Finally, the following typemap rule is used to match against simple
types that don't match any other rules:
</P>%typemap(in) SWIGTYPE { ... handle an unknown type ... }
<P> This typemap is important because it is the rule that gets triggered
when call or return by value is used. For instance, if you have a
declaration like this:
</P>double dot_product(Vector a, Vector b);
<P> The
<TT>Vector
</TT> type will usually just get matched against
<TT>
SWIGTYPE
</TT>. The default implementation of
<TT>SWIGTYPE
</TT> is to
convert the value into pointers (as described in chapter
3).
</P><P> By redefining
<TT>SWIGTYPE
</TT> it may be possible to implement
other behavior. For example, if you cleared all typemaps for
<TT>SWIGTYPE
</TT>, SWIG simply won't wrap any unknown datatype (which might
be useful for debugging). Alternatively, you might modify SWIGTYPE to
marshal objects into strings instead of converting them to pointers.
</P><P> The best way to explore the default typemaps is to look at the ones
already defined for a particular language module. Typemaps definitions
are usually found in the SWIG library in a file such as
<TT>python.swg
</TT>,
<TT>tcl8.swg
</TT>, etc.
</P><H3><A name=
"Typemaps_mixed_default"></A>10.3.4 Mixed default typemaps
</H3>
<P> The default typemaps described above can be mixed with
<TT>const
</TT>
and with each other. For example the
<TT>SWIGTYPE *
</TT> typemap is for
default pointer handling, but if a
<TT>const SWIGTYPE *
</TT> typemap is
defined it will be used instead for constant pointers. Some further
%typemap(in) enum SWIGTYPE
& { ... enum references ... }
%typemap(in) const enum SWIGTYPE
& { ... const enum references ... }
%typemap(in) SWIGTYPE *
& { ... pointers passed by reference ... }
%typemap(in) SWIGTYPE * const
& { ... constant pointers passed by reference ... }
%typemap(in) SWIGTYPE[ANY][ANY] { ...
2D arrays ... }
<P> Note that the the typedef reduction described earlier is also used
with these mixed default typemaps. For example, say the following
typemaps are defined and SWIG is looking for the best match for the
%typemap(in) const Hello
& { ... }
%typemap(in) const enum SWIGTYPE
& { ... }
%typemap(in) enum SWIGTYPE
& { ... }
%typemap(in) SWIGTYPE
& { ... }
%typemap(in) SWIGTYPE { ... }
<P> The typemap at the top of the list will be chosen, not because it is
defined first, but because it is the closest match for the type being
wrapped. If any of the typemaps in the above list were not defined,
then the next one on the list would have precedence. In other words the
typemap chosen is the closest explicit match.
</P><P><B> Compatibility note:
</B> The mixed default typemaps were
introduced in SWIG-
1.3.23, but were not used much in this version.
Expect to see them being used more and more within the various
libraries in later versions of SWIG.
</P><H3><A name=
"Typemaps_nn20"></A>10.3.5 Multi-arguments typemaps
</H3>
<P> When multi-argument typemaps are specified, they take precedence
over any typemaps specified for a single type. For example:
</P>%typemap(in) (char *buffer, int len) {
%typemap(in) char *buffer {
void foo(char *buffer, int len, int count); // (char *buffer, int len)
void bar(char *buffer, int blah); // char *buffer
<P> Multi-argument typemaps are also more restrictive in the way that
they are matched. Currently, the first argument follows the matching
rules described in the previous section, but all subsequent arguments
<H2><A name=
"Typemaps_nn21"></A>10.4 Code generation rules
</H2>
<P> This section describes rules by which typemap code is inserted into
the generated wrapper code.
</P><H3><A name=
"Typemaps_nn22"></A>10.4.1 Scope
</H3>
<P> When a typemap is defined like this:
</P>
$
1 = PyInt_AsLong($input);
<P> the typemap code is inserted into the wrapper function using a new
block scope. In other words, the wrapper code will look like this:
</P> arg1 = PyInt_AsLong(obj1);
<P> Because the typemap code is enclosed in its own block, it is legal
to declare temporary variables for use during typemap execution. For
long temp; /* Temporary value */
if (Tcl_GetLongFromObj(interp, $input,
&temp) != TCL_OK) {
<P> Of course, any variables that you declare inside a typemap are
destroyed as soon as the typemap code has executed (they are not
visible to other parts of the wrapper function or other typemaps that
might use the same variable names).
</P><P> Occasionally, typemap code will be specified using a few alternative
%typemap(in) int
"$
1 = PyInt_AsLong($input);
";
$
1 = PyInt_AsLong($input);
<P> These two forms are mainly used for cosmetics--the specified code is
not enclosed inside a block scope when it is emitted. This sometimes
results in a less complicated looking wrapper function.
</P><H3><A name=
"Typemaps_nn23"></A>10.4.2 Declaring new local variables
</H3>
<P> Sometimes it is useful to declare a new local variable that exists
within the scope of the entire wrapper function. A good example of this
might be an application in which you wanted to marshal strings. Suppose
you had a C++ function like this
</P><P> and you wanted to pass a native string in the target language as an
argument. For instance, in Perl, you wanted the function to work like
$x = foo(
"Hello World
");
<P> To do this, you can't just pass a raw Perl string as the
<TT>
std::string *
</TT> argument. Instead, you have to create a temporary
<TT>std::string
</TT> object, copy the Perl string data into it, and then
pass a pointer to the object. To do this, simply specify the typemap
with an extra parameter like this:
</P>%typemap(in) std::string *
<B>(std::string temp)
</B> {
s = SvPV($input,len); /* Extract string data */
temp.assign(s,len); /* Assign to temp */
$
1 =
&temp; /* Set argument to point to temp */
<P> In this case,
<TT>temp
</TT> becomes a local variable in the scope of
the entire wrapper function. For example:
</P> std::string temp;
<--- Declaration of temp goes here
<P> When you set
<TT>temp
</TT> to a value, it persists for the duration
of the wrapper function and gets cleaned up automatically on exit.
</P><P> It is perfectly safe to use more than one typemap involving local
variables in the same declaration. For example, you could declare a
void foo(std::string *x, std::string *y, std::string *z);
<P> This is safely handled because SWIG actually renames all local
variable references by appending an argument number suffix. Therefore,
the generated code would actually look like this:
</P> int *arg1; /* Actual arguments */
std::string temp1; /* Locals declared in the typemap */
<P> Some typemaps do not recognize local variables (or they may simply
not apply). At this time, only typemaps that apply to argument
conversion support this.
</P><H3><A name=
"Typemaps_nn24"></A>10.4.3 Special variables
</H3>
<P> Within all typemaps, the following special variables are expanded.
</P>
<TABLE border=
"1" summary=
"Typemap special variables">
<TR><TH>Variable
</TH><TH>Meaning
</TH></TR>
<TR><TD>$
<EM>n
</EM></TD><TD> A C local variable corresponding to type
<EM>
n
</EM> in the typemap pattern.
</TD></TR><TR><TD>$argnum
</TD><TD>Argument number. Only available in typemaps
related to argument conversion
</TD></TR><TR><TD>$
<EM>n
</EM>_name
</TD><TD>Argument name
</TD></TR>
<TR><TD>$
<EM>n
</EM>_type
</TD><TD>Real C datatype of type
<EM> n
</EM>.
</TD>
<TR><TD>$
<EM>n
</EM>_ltype
</TD><TD>ltype of type
<EM> n
</EM></TD></TR>
<TR><TD>$
<EM>n
</EM>_mangle
</TD><TD>Mangled form of type
<EM> n
</EM>. For
example
<TT>_p_Foo
</TT></TD></TR><TR><TD>$
<EM>n
</EM>_descriptor
</TD><TD>Type descriptor structure for
type
<EM> n
</EM>. For example
<TT>SWIGTYPE_p_Foo
</TT>. This is primarily
used when interacting with the run-time type checker (described later).
</TD><TR><TD>$*
<EM>n
</EM>_type
</TD><TD>Real C datatype of type
<EM> n
</EM>
with one pointer removed.
</TD></TR><TR><TD>$*
<EM>n
</EM>_ltype
</TD><TD>ltype of type
<EM> n
</EM> with one
pointer removed.
</TD></TR><TR><TD>$*
<EM>n
</EM>_mangle
</TD><TD>Mangled form of type
<EM> n
</EM> with
one pointer removed.
</TD></TR><TR><TD>$*
<EM>n
</EM>_descriptor
</TD><TD>Type descriptor structure for
type
<EM> n
</EM> with one pointer removed.
</TD></TR><TR><TD>$
&<EM>n
</EM>_type
</TD><TD>Real C datatype of type
<EM> n
</EM>
with one pointer added.
</TD></TR><TR><TD>$
&<EM>n
</EM>_ltype
</TD><TD>ltype of type
<EM> n
</EM> with one
<TR><TD>$
&<EM>n
</EM>_mangle
</TD><TD>Mangled form of type
<EM> n
</EM> with
one pointer added.
</TD></TR><TR><TD>$
&<EM>n
</EM>_descriptor
</TD><TD>Type descriptor structure for
type
<EM> n
</EM> with one pointer added.
</TD></TR><TR><TD>$
<EM>n
</EM>_basetype
</TD><TD>Base typename with all pointers and
qualifiers stripped.
</TD></TR><P> Within the table, $
<EM>n
</EM> refers to a specific type within the
typemap specification. For example, if you write this
</P>%typemap(in) int *INPUT {
<P> then $
1 refers to
<TT>int *INPUT
</TT>. If you have a typemap like
%typemap(in) (int argc, char *argv[]) {
<P> then $
1 refers to
<TT>int argc
</TT> and $
2 refers to
<TT>char
<P> Substitutions related to types and names always fill in values from
the actual code that was matched. This is useful when a typemap might
match multiple C datatype. For example:
</P>%typemap(in) int, short, long {
$
1 = ($
1_ltype) PyInt_AsLong($input);
<P> In this case,
<TT>$
1_ltype
</TT> is replaced with the datatype that
<P> When typemap code is emitted, the C/C++ datatype of the special
variables
<TT>$
1</TT> and
<TT>$
2</TT> is always an
"ltype.
" An
"ltype
" is simply a type that can legally appear on the left-hand side of a C
assignment operation. Here are a few examples of types and ltypes:
</P><P> In most cases a ltype is simply the C datatype with qualifiers
stripped off. In addition, arrays are converted into pointers.
</P><P> Variables such as
<TT>$
&1_type
</TT> and
<TT>$*
1_type
</TT> are used
to safely modify the type by removing or adding pointers. Although not
needed in most typemaps, these substitutions are sometimes needed to
properly work with typemaps that convert values between pointers and
<P> If necessary, type related substitutions can also be used when
declaring locals. For example:
</P>%typemap(in) int * ($*
1_type temp) {
temp = PyInt_AsLong($input);
<P> There is one word of caution about declaring local variables in this
manner. If you declare a local variable using a type substitution such
as
<TT>$
1_ltype temp
</TT>, it won't work like you expect for arrays and
certain kinds of pointers. For example, if you wrote this,
</P>%typemap(in) int [
10][
20] {
<P> then the declaration of
<TT>temp
</TT> will be expanded as
</P>
<P> This is illegal C syntax and won't compile. There is currently no
straightforward way to work around this problem in SWIG due to the way
that typemap code is expanded and processed. However, one possible
workaround is to simply pick an alternative type such as
<TT>void *
</TT> and use casts to get the correct type when needed. For example:
</P>%typemap(in) int [
10][
20] {
(($
1_ltype) temp)[i][j] = x; /* set a value */
<P> Another approach, which only works for arrays is to use the
<TT>
$
1_basetype
</TT> substitution. For example:
</P>%typemap(in) int [
10][
20] {
$
1_basetype temp[
10][
20];
temp[i][j] = x; /* set a value */
<H2><A name=
"Typemaps_nn25"></A>10.5 Common typemap methods
</H2>
<P> The set of typemaps recognized by a language module may vary.
However, the following typemap methods are nearly universal:
</P><H3><A name=
"Typemaps_nn26"></A>10.5.1 "in
" typemap
</H3>
<P> The
"in
" typemap is used to convert function arguments from the
target language to C. For example:
</P> $
1 = PyInt_AsLong($input);
<P> The following special variables are available:
</P>
$input - Input object holding value to be converted.
$symname - Name of function/method being wrapped
<P> This is probably the most commonly redefined typemap because it can
be used to implement customized conversions.
</P><P> In addition, the
"in
" typemap allows the number of converted
arguments to be specified. For example:
</P>%typemap(in, numinputs=
0) int *out (int temp) {
<P> At this time, only zero or one arguments may be converted.
</P>
<P><B> Compatibility note:
</B> Specifying
<TT>numinputs=
0</TT> is the
same as the old
"ignore
" typemap.
</P><H3><A name=
"Typemaps_nn27"></A>10.5.2 "typecheck
" typemap
</H3>
<P> The
"typecheck
" typemap is used to support overloaded functions and
methods. It merely checks an argument to see whether or not it matches
a specific type. For example:
</P>%typemap(typecheck,precedence=SWIG_TYPECHECK_INTEGER) int {
$
1 = PyInt_Check($input) ?
1 :
0;
<P> For typechecking, the $
1 variable is always a simple integer that is
set to
1 or
0 depending on whether or not the input argument is the
<P> If you define new
"in
" typemaps
<EM> and
</EM> your program uses
overloaded methods, you should also define a collection of
"typecheck
" typemaps. More details about this follow in a later section on
"Typemaps and Overloading.
"</P>
<H3><A name=
"Typemaps_nn28"></A>10.5.3 "out
" typemap
</H3>
<P> The
"out
" typemap is used to convert function/method return values
from C into the target language. For example:
</P> $result = PyInt_FromLong($
1);
<P> The following special variables are available.
</P>
$result - Result object returned to target language.
$symname - Name of function/method being wrapped
<H3><A name=
"Typemaps_nn29"></A>10.5.4 "arginit
" typemap
</H3>
<P> The
"arginit
" typemap is used to set the initial value of a function
argument--before any conversion has occurred. This is not normally
necessary, but might be useful in highly specialized applications. For
// Set argument to NULL before any conversion occurs
%typemap(arginit) int *data {
<H3><A name=
"Typemaps_nn30"></A>10.5.5 "default
" typemap
</H3>
<P> The
"default
" typemap is used to turn an argument into a default
argument. For example:
</P>%typemap(default) int flags {
int foo(int x, int y, int flags);
<P> The primary use of this typemap is to either change the wrapping of
default arguments or specify a default argument in a language where
they aren't supported (like C). Target languages that do not support
optional arguments, such as Java and C#, effecively ignore the value
specified by this typemap as all arguments must be given.
</P><P> Once a default typemap has been applied to an argument, all
arguments that follow must have default values. See the
<A href=
"#SWIG_default_args">Default/optional arguments
</A> section for further information on
default argument wrapping.
</P><H3><A name=
"Typemaps_nn31"></A>10.5.6 "check
" typemap
</H3>
<P> The
"check
" typemap is used to supply value checking code during
argument conversion. The typemap is applied
<EM> after
</EM> arguments
have been converted. For example:
</P>%typemap(check) int positive {
SWIG_exception(SWIG_ValueError,
"Expected positive value.
");
<H3><A name=
"Typemaps_nn32"></A>10.5.7 "argout
" typemap
</H3>
<P> The
"argout
" typemap is used to return values from arguments. This
is most commonly used to write wrappers for C/C++ functions that need
to return multiple values. The
"argout
" typemap is almost always
combined with an
"in
" typemap---possibly to ignore the input value. For
/* Set the input argument to point to a temporary variable */
%typemap(in, numinputs=
0) int *out (int temp) {
%typemap(argout) int *out {
// Append output value $
1 to $result
<P> The following special variables are available.
</P>
$result - Result object returned to target language.
$input - The original input object passed.
$symname - Name of function/method being wrapped
<P> The code supplied to the
"argout
" typemap is always placed after the
"out
" typemap. If multiple return values are used, the extra return
values are often appended to return value of the function.
</P><P> See the
<TT>typemaps.i
</TT> library for examples.
</P>
<H3><A name=
"Typemaps_nn33"></A>10.5.8 "freearg
" typemap
</H3>
<P> The
"freearg
" typemap is used to cleanup argument data. It is only
used when an argument might have allocated resources that need to be
cleaned up when the wrapper function exits. The
"freearg
" typemap
usually cleans up argument resources allocated by the
"in
" typemap. For
// Get a list of integers
%typemap(in) int *items {
int nitems = Length($input);
$
1 = (int *) malloc(sizeof(int)*nitems);
%typemap(freearg) int *items {
<P> The
"freearg
" typemap inserted at the end of the wrapper function,
just before control is returned back to the target language. This code
is also placed into a special variable
<TT>$cleanup
</TT> that may be
used in other typemaps whenever a wrapper function needs to abort
<H3><A name=
"Typemaps_nn34"></A>10.5.9 "newfree
" typemap
</H3>
<P> The
"newfree
" typemap is used in conjunction with the
<TT>%newobject
</TT>
directive and is used to deallocate memory used by the return result of
a function. For example:
</P>%typemap(newfree) string * {
$result = PyString_FromString($
1-
>c_str());
<H3><A name=
"Typemaps_nn35"></A>10.5.10 "memberin
" typemap
</H3>
<P> The
"memberin
" typemap is used to copy data from
<EM> an already
converted input value
</EM> into a structure member. It is typically
used to handle array members and other special cases. For example:
</P>%typemap(memberin) int [
4] {
memmove($
1, $input,
4*sizeof(int));
<P> It is rarely necessary to write
"memberin
" typemaps---SWIG already
provides a default implementation for arrays, strings, and other
<H3><A name=
"Typemaps_nn36"></A>10.5.11 "varin
" typemap
</H3>
<P> The
"varin
" typemap is used to convert objects in the target
language to C for the purposes of assigning to a C/C++ global variable.
This is implementation specific.
</P><H3><A name=
"Typemaps_nn37"></A>10.5.12 "varout
" typemap
</H3>
<P> The
"varout
" typemap is used to convert a C/C++ object to an object
in the target language when reading a C/C++ global variable. This is
implementation specific.
</P><H3><A name=
"throws_typemap"></A>10.5.13 "throws
" typemap
</H3>
<P> The
"throws
" typemap is only used when SWIG parses a C++ method with
an exception specification. It provides a default mechanism for
handling C++ methods that have declared the exceptions it will throw.
The purpose of this typemap is to convert a C++ exception into an error
or exception in the target language. It is slightly different to the
other typemaps as it is based around the exception type rather than the
type of a parameter or variable. For example:
</P>%typemap(throws) const char * %{
PyErr_SetString(PyExc_RuntimeError, $
1);
void bar() throw (const char *);
<P> As can be seen from the generated code below, SWIG generates an
exception handler with the catch block comprising the
"throws
" typemap
PyErr_SetString(PyExc_RuntimeError, _e);
<P> Note that if your methods do not have an exception specification yet
they do throw exceptions, SWIG cannot know how to deal with them. For a
neat way to handle these, see the
<A href=
"#exception">Exception
handling with %exception
</A> section.
</P><H2><A name=
"Typemaps_nn39"></A>10.6 Some typemap examples
</H2>
<P> This section contains a few examples. Consult language module
documentation for more examples.
</P><H3><A name=
"Typemaps_nn40"></A>10.6.1 Typemaps for arrays
</H3>
<P> A common use of typemaps is to provide support for C arrays
appearing both as arguments to functions and as structure members.
</P><P> For example, suppose you had a function like this:
</P>
void set_vector(int type, float value[
4]);
<P> If you wanted to handle
<TT>float value[
4]
</TT> as a list of floats,
you might write a typemap similar to this:
</P>%typemap(in) float value[
4] (float temp[
4]) {
if (!PySequence_Check($input)) {
PyErr_SetString(PyExc_ValueError,
"Expected a sequence
");
if (PySequence_Length($input) !=
4) {
PyErr_SetString(PyExc_ValueError,
"Size mismatch. Expected
4 elements
");
for (i =
0; i
< 4; i++) {
PyObject *o = PySequence_GetItem($input,i);
temp[i] = (float) PyFloat_AsDouble(o);
PyErr_SetString(PyExc_ValueError,
"Sequence elements must be numbers
");
<P> In this example, the variable
<TT>temp
</TT> allocates a small array
on the C stack. The typemap then populates this array and passes it to
the underlying C function.
</P><P> When used from Python, the typemap allows the following type of
>>> set_vector(type, [
1,
2.5,
5,
20 ])
<P> If you wanted to generalize the typemap to apply to arrays of all
dimensions you might write this:
</P>%typemap(in) float value[ANY] (float temp[$
1_dim0]) {
if (!PySequence_Check($input)) {
PyErr_SetString(PyExc_ValueError,
"Expected a sequence
");
if (PySequence_Length($input) != $
1_dim0) {
PyErr_SetString(PyExc_ValueError,
"Size mismatch. Expected $
1_dim0 elements
");
for (i =
0; i
< $
1_dim0; i++) {
PyObject *o = PySequence_GetItem($input,i);
temp[i] = (float) PyFloat_AsDouble(o);
PyErr_SetString(PyExc_ValueError,
"Sequence elements must be numbers
");
<P> In this example, the special variable
<TT>$
1_dim0
</TT> is expanded
with the actual array dimensions. Multidimensional arrays can be
matched in a similar manner. For example:
</P>%typemap(python,in) float matrix[ANY][ANY] (float temp[$
1_dim0][$
1_dim1]) {
... convert a
2d array ...
<P> For large arrays, it may be impractical to allocate storage on the
stack using a temporary variable as shown. To work with heap allocated
data, the following technique can be used.
</P>%typemap(in) float value[ANY] {
if (!PySequence_Check($input)) {
PyErr_SetString(PyExc_ValueError,
"Expected a sequence
");
if (PySequence_Length($input) != $
1_dim0) {
PyErr_SetString(PyExc_ValueError,
"Size mismatch. Expected $
1_dim0 elements
");
$
1 = (float *) malloc($
1_dim0*sizeof(float));
for (i =
0; i
< $
1_dim0; i++) {
PyObject *o = PySequence_GetItem($input,i);
$
1[i] = (float) PyFloat_AsDouble(o);
PyErr_SetString(PyExc_ValueError,
"Sequence elements must be numbers
");
%typemap(freearg) float value[ANY] {
<P> In this case, an array is allocated using
<TT>malloc
</TT>. The
<TT>
freearg
</TT> typemap is then used to release the argument after the
function has been called.
</P><P> Another common use of array typemaps is to provide support for array
structure members. Due to subtle differences between pointers and
arrays in C, you can't just
"assign
" to a array structure member.
Instead, you have to explicitly copy elements into the array. For
example, suppose you had a structure like this:
</P><P> When SWIG runs, it won't produce any code to set the
<TT>vec
</TT>
member. You may even get a warning message like this:
</P>Generating wrappers for Python
example.i:
10. Warning. Array member value will be read-only.
<P> These warning messages indicate that SWIG does not know how you want
to set the
<TT>vec
</TT> field.
</P><P> To fix this, you can supply a special
"memberin
" typemap like this:
</P>
%typemap(memberin) float [ANY] {
for (i =
0; i
< $
1_dim0; i++) {
<P> The memberin typemap is used to set a structure member from data
that has already been converted from the target language to C. In this
case,
<TT>$input
</TT> is the local variable in which converted input
data is stored. This typemap then copies this data into the structure.
</P><P> When combined with the earlier typemaps for arrays, the combination
of the
"in
" and
"memberin
" typemap allows the following usage:
</P>>>> s = SomeObject()
>>> s.x = [
1,
2.5,
5,
10]
<P> Related to structure member input, it may be desirable to return
structure members as a new kind of object. For example, in this
example, you will get very odd program behavior where the structure
member can be set nicely, but reading the member simply returns a
>>> s = SomeObject()
>>> s.x = [
1,
2.5,
5,
10]
<P> To fix this, you can write an
"out
" typemap. For example:
</P>
%typemap(out) float [ANY] {
$result = PyList_New($
1_dim0);
for (i =
0; i
< $
1_dim0; i++) {
PyObject *o = PyFloat_FromDouble((double) $
1[i]);
PyList_SetItem($result,i,o);
<P> Now, you will find that member access is quite nice:
</P>
>>> s = SomeObject()
>>> s.x = [
1,
2.5,
5,
10]
<P><B> Compatibility Note:
</B> SWIG1.1 used to provide a special
"memberout
" typemap. However, it was mostly useless and has since been
eliminated. To return structure members, simply use the
"out
" typemap.
</P><H3><A name=
"Typemaps_nn41"></A>10.6.2 Implementing constraints with
<P> One particularly interesting application of typemaps is the
implementation of argument constraints. This can be done with the
"check
" typemap. When used, this allows you to provide code for
checking the values of function arguments. For example :
</P>%typemap(check) double posdouble {
croak(
"Expecting a positive number
");
double sqrt(double posdouble);
<P> This provides a sanity check to your wrapper function. If a negative
number is passed to this function, a Perl exception will be raised and
your program terminated with an error message.
</P><P> This kind of checking can be particularly useful when working with
pointers. For example :
</P>%typemap(check) Vector * {
PyErr_SetString(PyExc_TypeError,
"NULL Pointer not allowed
");
<P> will prevent any function involving a
<TT>Vector *
</TT> from
accepting a NULL pointer. As a result, SWIG can often prevent a
potential segmentation faults or other run-time problems by raising an
exception rather than blindly passing values to the underlying C/C++
<P> Note: A more advanced constraint checking system is in development.
<H2><A name=
"Typemaps_nn42"></A>10.7 Multi-argument typemaps
</H2>
<P> So far, the typemaps presented have focused on the problem of
dealing with single values. For example, converting a single input
object to a single argument in a function call. However, certain
conversion problems are difficult to handle in this manner. As an
example, consider the example at the very beginning of this chapter:
</P>int foo(int argc, char *argv[]);
<P> Suppose that you wanted to wrap this function so that it accepted a
single list of strings like this:
</P>>>> foo([
"ale
",
"lager
",
"stout
"])
<P> To do this, you not only need to map a list of strings to
<TT>char
*argv[]
</TT>, but the value of
<TT>int argc
</TT> is implicitly
determined by the length of the list. Using only simple typemaps, this
type of conversion is possible, but extremely painful. Therefore,
SWIG1.3 introduces the notion of multi-argument typemaps.
</P><P> A multi-argument typemap is a conversion rule that specifies how to
convert a
<EM> single
</EM> object in the target language to set of
consecutive function arguments in C/C++. For example, the following
multi-argument maps perform the conversion described for the above
%typemap(in) (int argc, char *argv[]) {
if (!PyList_Check($input)) {
PyErr_SetString(PyExc_ValueError,
"Expecting a list
");
$
1 = PyList_Size($input);
$
2 = (char **) malloc(($
1+
1)*sizeof(char *));
for (i =
0; i
< $
1; i++) {
PyObject *s = PyList_GetItem($input,i);
if (!PyString_Check(s)) {
PyErr_SetString(PyExc_ValueError,
"List items must be strings
");
$
2[i] = PyString_AsString(s);
%typemap(freearg) (int argc, char *argv[]) {
<P> A multi-argument map is always specified by surrounding the
arguments with parentheses as shown. For example:
</P>%typemap(in) (int argc, char *argv[]) { ... }
<P> Within the typemap code, the variables
<TT>$
1</TT>,
<TT>$
2</TT>, and
so forth refer to each type in the map. All of the usual substitutions
apply--just use the appropriate
<TT>$
1</TT> or
<TT>$
2</TT> prefix on
the variable name (e.g.,
<TT>$
2_type
</TT>,
<TT>$
1_ltype
</TT>, etc.)
</P><P> Multi-argument typemaps always have precedence over simple typemaps
and SWIG always performs longest-match searching. Therefore, you will
get the following behavior:
</P>%typemap(in) int argc { ... typemap
1 ... }
%typemap(in) (int argc, char *argv[]) { ... typemap
2 ... }
%typemap(in) (int argc, char *argv[], char *env[]) { ... typemap
3 ... }
int foo(int argc, char *argv[]); // Uses typemap
2int bar(int argc, int x); // Uses typemap
1int spam(int argc, char *argv[], char *env[]); // Uses typemap
3<P> It should be stressed that multi-argument typemaps can appear
anywhere in a function declaration and can appear more than once. For
example, you could write this:
</P>%typemap(in) (int scount, char *swords[]) { ... }
%typemap(in) (int wcount, char *words[]) { ... }
void search_words(int scount, char *swords[], int wcount, char *words[], int maxcount);
<P> Other directives such as
<TT>%apply
</TT> and
<TT>%clear
</TT> also
work with multi-argument maps. For example:
</P>%apply (int argc, char *argv[]) {
(int scount, char *swords[]),
(int wcount, char *words[])
%clear (int scount, char *swords[]), (int wcount, char *words[]);
<P> Although multi-argument typemaps may seem like an exotic, little
used feature, there are several situations where they make sense.
First, suppose you wanted to wrap functions similar to the low-level
<TT>read()
</TT> and
<TT>write()
</TT> system calls. For example:
</P>typedef unsigned int size_t;
int read(int fd, void *rbuffer, size_t len);
int write(int fd, void *wbuffer, size_t len);
<P> As is, the only way to use the functions would be to allocate memory
and pass some kind of pointer as the second argument---a process that
might require the use of a helper function. However, using
multi-argument maps, the functions can be transformed into something
more natural. For example, you might write typemaps like this:
</P>// typemap for an outgoing buffer
%typemap(in) (void *wbuffer, size_t len) {
if (!PyString_Check($input)) {
PyErr_SetString(PyExc_ValueError,
"Expecting a string
");
$
1 = (void *) PyString_AsString($input);
$
2 = PyString_Size($input);
// typemap for an incoming buffer
%typemap(in) (void *rbuffer, size_t len) {
if (!PyInt_Check($input)) {
PyErr_SetString(PyExc_ValueError,
"Expecting an integer
");
$
2 = PyInt_AsLong($input);
PyErr_SetString(PyExc_ValueError,
"Positive integer expected
");
$
1 = (void *) malloc($
2);
// Return the buffer. Discarding any previous return result
%typemap(argout) (void *rbuffer, size_t len) {
Py_XDECREF($result); /* Blow away any previous result */
if (result
< 0) { /* Check for I/O error */
PyErr_SetFromErrno(PyExc_IOError);
$result = PyString_FromStringAndSize($
1,result);
<P> (note: In the above example,
<TT>$result
</TT> and
<TT>result
</TT>
are two different variables.
<TT>result
</TT> is the real C datatype
that was returned by the function.
<TT>$result
</TT> is the scripting
language object being returned to the interpreter.).
</P><P> Now, in a script, you can write code that simply passes buffers as
>>> f = example.open(
"Makefile
")
>>> example.read(f,
40)
'TOP = ../..\nSWIG = $(TOP)/.'
>>> example.read(f,
40)
'./swig\nSRCS = example.c\nTARGET '
>>> example.close(f)
>>> g = example.open(
"foo
", example.O_WRONLY | example.O_CREAT,
0644)
>>> example.write(g,
"Hello world\n
")
>>> example.write(g,
"This is a test\n
")
>>> example.close(g)
<P> A number of multi-argument typemap problems also arise in libraries
that perform matrix-calculations--especially if they are mapped onto
low-level Fortran or C code. For example, you might have a function
int is_symmetric(double *mat, int rows, int columns);
<P> In this case, you might want to pass some kind of higher-level
object as an matrix. To do this, you could write a multi-argument
%typemap(in) (double *mat, int rows, int columns) {
a = GetMatrixFromObject($input); /* Get matrix somehow */
/* Get matrix properties */
<P> This kind of technique can be used to hook into scripting-language
matrix packages such as Numeric Python. However, it should also be
stressed that some care is in order. For example, when crossing
languages you may need to worry about issues such as row-major vs.
column-major ordering (and perform conversions if needed).
</P><H2><A name=
"runtime_type_checker"></A>10.8 The run-time type checker
</H2>
<P> Most scripting languages need type information at run-time. This
type information can include how to construct types, how to garbage
collect types, and the inheritance relationships between types. If the
language interface does not provide its own type information storage,
the generated SWIG code needs to provide it.
</P><P> Requirements for the type system:
</P>
<LI>Store inheritance and type equivalence information and be able to
correctly re-create the type pointer.
</LI><LI>Share type information between modules.
</LI>
<LI>Modules can be loaded in any order, irregardless of actual type
<LI>Avoid the use of dynamically allocated memory, and library/system
<LI>Provide a reasonably fast implementation, minimizing the lookup time
for all language modules.
</LI><LI>Custom, language specific information can be attached to types.
</LI>
<LI>Modules can be unloaded from the type system.
</LI>
<H3><A name=
"Typemaps_nn45"></A>10.8.1 Implementation
</H3>
<P> The run-time type checker is used by many, but not all, of SWIG's
supported target languages. The run-time type checker features are not
required and are thus not used for strongly typed languages such as
Java and C#. The scripting and scheme based languages rely on it and it
forms a critical part of SWIG's operation for these languages.
</P><P> When pointers, arrays, and objects are wrapped by SWIG, they are
normally converted into typed pointer objects. For example, an instance
of
<TT>Foo *
</TT> might be a string encoded like this:
</P><P> At a basic level, the type checker simply restores some type-safety
to extension modules. However, the type checker is also responsible for
making sure that wrapped C++ classes are handled correctly---especially
when inheritance is used. This is especially important when an
extension module makes use of multiple inheritance. For example:
</P>class FooBar : public Foo, public Bar {
<P> When the class
<TT>FooBar
</TT> is organized in memory, it contains
the contents of the classes
<TT>Foo
</TT> and
<TT>Bar
</TT> as well as
its own data members. For example:
</P>FooBar --
> | -----------|
<-- Foo
|------------|
<-- Bar
<P> Because of the way that base class data is stacked together, the
casting of a
<TT>Foobar *
</TT> to either of the base classes may change
the actual value of the pointer. This means that it is generally not
safe to represent pointers using a simple integer or a bare
<TT>void *
</TT>---type tags are needed to implement correct handling of pointer values
(and to make adjustments when needed).
</P><P> In the wrapper code generated for each language, pointers are
handled through the use of special type descriptors and conversion
functions. For example, if you look at the wrapper code for Python, you
will see code like this:
</P>if ((SWIG_ConvertPtr(obj0,(void **)
&arg1, SWIGTYPE_p_Foo,
1)) == -
1) return NULL;
<P> In this code,
<TT>SWIGTYPE_p_Foo
</TT> is the type descriptor that
describes
<TT>Foo *
</TT>. The type descriptor is actually a pointer to
a structure that contains information about the type name to use in the
target language, a list of equivalent typenames (via typedef or
inheritance), and pointer value handling information (if applicable).
The
<TT>SWIG_ConvertPtr()
</TT> function is simply a utility function
that takes a pointer object in the target language and a
type-descriptor objects and uses this information to generate a C++
pointer. However, the exact name and calling conventions of the
conversion function depends on the target language (see language
specific chapters for details).
</P><P> The actual type code is in swigrun.swg, and gets inserted near the
top of the generated swig wrapper file. The phrase
"a type X that can
cast into a type Y
" means that given a type X, it can be converted into
a type Y. In other words, X is a derived class of Y or X is a typedef
of Y. The structure to store type information looks like this:
</P>/* Structure to store information on one type */
typedef struct swig_type_info {
const char *name; /* mangled name of this type */
const char *str; /* human readable name for this type */
swig_dycast_func dcast; /* dynamic cast function down a hierarchy */
struct swig_cast_info *cast; /* Linked list of types that can cast into this type */
void *clientdata; /* Language specific type data */
/* Structure to store a type and conversion function used for casting */
typedef struct swig_cast_info {
swig_type_info *type; /* pointer to type that is equivalent to this type */
swig_converter_func converter; /* function to cast the void pointers */
struct swig_cast_info *next; /* pointer to next cast in linked list */
struct swig_cast_info *prev; /* pointer to the previous cast */
<P> Each
<TT>swig_type_info
</TT> stores a linked list of types that it
is equivalent to. Each entry in this doubly linked list stores a
pointer back to another swig_type_info structure, along with a pointer
to a conversion function. This conversion function is used to solve the
above problem of the FooBar class, correctly returning a pointer to the
<P> The basic problem we need to solve is verifying and building
arguments passed to functions. So going back to the
<TT>SWIG_ConvertPtr()
</TT> function example from above, we are expecting a
<TT>Foo *
</TT> and need to check if
<TT>obj0
</TT> is in fact a
<TT>Foo *
</TT>. From before,
<TT>SWIGTYPE_p_Foo
</TT> is just a pointer to the
<TT>swig_type_info
</TT> structure describing
<TT>Foo *
</TT>. So we loop
though the linked list of
<TT>swig_cast_info
</TT> structures attached
to
<TT>SWIGTYPE_p_Foo
</TT>. If we see that the type of
<TT>obj0
</TT> is
in the linked list, we pass the object through the associated
conversion function and then return a positive. If we reach the end of
the linked list without a match, then
<TT>obj0
</TT> can not be
converted to a
<TT>Foo *
</TT> and an error is generated.
</P><P> Another issue needing to be addressed is sharing type information
between multiple modules. More explicitly, we need to have ONE
<TT>swig_type_info
</TT> for each type. If two modules both use the type, the
second module loaded must lookup and use the swig_type_info structure
from the module already loaded. Because no dynamic memory is used and
the circular dependencies of the casting information, loading the type
information is somewhat tricky, and not explained here. A complete
description is in the
<TT>common.swg
</TT> file (and near the top of any
<P> Each module has one swig_module_info structure which looks like
/* Structure used to store module information
* Each module generates one structure like this, and the runtime collects
* all of these structures and stores them in a circularly linked list.*/
typedef struct swig_module_info {
swig_type_info **types; /* Array of pointers to swig_type_info structs in this module */
int size; /* Number of types in this module */
struct swig_module_info *next; /* Pointer to next element in circularly linked list */
swig_type_info **type_initial; /* Array of initially generated type structures */
swig_cast_info **cast_initial; /* Array of initially generated casting structures */
void *clientdata; /* Language specific module data */
<P> Each module stores an array of pointers to
<TT>swig_type_info
</TT>
structures and the number of types in this module. So when a second
module is loaded, it finds the
<TT>swig_module_info
</TT> structure for
the first module and searches the array of types. If any of its own
types are in the first module and have already been loaded, it uses
those
<TT>swig_type_info
</TT> structures rather than creating new ones.
These
<TT>swig_module_info
</TT> structures are chained together in a
circularly linked list.
</P><H3><A name=
"Typemaps_nn46"></A>10.8.2 Usage
</H3>
<P>This section covers how to use these functions from typemaps. To
learn how to call these functions from external files (not the
generated _wrap.c file), see the
<A href=
"#external_run_time">External
access to the run-time system
</A> section.
</P><P>When pointers are converted in a typemap, the typemap code often
looks similar to this:
</P> if ((SWIG_ConvertPtr($input, (void **)
&$
1, $
1_descriptor)) == -
1) return NULL;
<P> The most critical part is the typemap is the use of the
<TT>
$
1_descriptor
</TT> special variable. When placed in a typemap, this is
expanded into the
<TT>SWIGTYPE_*
</TT> type descriptor object above. As
a general rule, you should always use
<TT>$
1_descriptor
</TT> instead of
trying to hard-code the type descriptor name directly.
</P><P> There is another reason why you should always use the
<TT>
$
1_descriptor
</TT> variable. When this special variable is expanded,
SWIG marks the corresponding type as
"in use.
" When type-tables and
type information is emitted in the wrapper file, descriptor information
is only generated for those datatypes that were actually used in the
interface. This greatly reduces the size of the type tables and
<P> Occassionally, you might need to write a typemap that needs to
convert pointers of other types. To handle this, a special macro
substition
<TT>$descriptor(type)
</TT> can be used to generate the SWIG
type descriptor name for any C datatype. For example:
</P> if ((SWIG_ConvertPtr($input, (void **)
&$
1, $
1_descriptor)) == -
1) {
if ((SWIG_ConvertPtr($input, (void **)
&temp,
<B>$descriptor(Bar *)
</B>) == -
1) {
<P> The primary use of
<TT>$descriptor(type)
</TT> is when writing
typemaps for container objects and other complex data structures. There
are some restrictions on the argument---namely it must be a fully
defined C datatype. It can not be any of the special typemap variables.
</P><P> In certain cases, SWIG may not generate type-descriptors like you
expect. For example, if you are converting pointers in some
non-standard way or working with an unusual combination of interface
files and modules, you may find that SWIG omits information for a
specific type descriptor. To fix this, you may need to use the
<TT>%types
</TT> directive. For example:
</P>%types(int *, short *, long *, float *, double *);
<P> When
<TT>%types
</TT> is used, SWIG generates type-descriptor
information even if those datatypes never appear elsewhere in the
<P> A final problem related to the type-checker is the conversion of
types in code that is external to the SWIG wrapper file. This situation
is somewhat rare in practice, but occasionally a programmer may want to
convert a typed pointer object into a C++ pointer somewhere else in
their program. The only problem is that the SWIG type descriptor
objects are only defined in the wrapper code and not normally
<P> To correctly deal with this situation, the following technique can
/* External declarations */
extern void *SWIG_TypeQuery(const char *);
extern int SWIG_ConvertPtr(PyObject *, void **ptr, void *descr);
descr = SWIG_TypeQuery(
"Foo *
"); /* Get the type descriptor structure for Foo */
if ((SWIG_ConvertPtr(o,(void **)
&f, descr) == -
1)) {
<P> Further details about the run-time type checking can be found in the
documentation for individual language modules. Reading the source code
may also help. The file
<TT>swigrun.swg
</TT> in the SWIG library
contains all of the source code for type-checking. This code is also
included in every generated wrapped file so you probably just look at
the output of SWIG to get a better sense for how types are managed.
</P><H2><A name=
"Typemaps_overloading"></A>10.9 Typemaps and overloading
</H2>
<P> In many target languages, SWIG fully supports C++ overloaded methods
and functions. For example, if you have a collection of functions like
<P> You can access the functions in a normal way from the scripting
foo(
"hello
",
5) # foo(char *, int)
foo hello
5 # foo(char *, int)
<P> To implement overloading, SWIG generates a separate wrapper function
for each overloaded method. For example, the above functions would
produce something roughly like this:
</P>_wrap_foo_0(argc, args[]) { // foo(int)
arg1 = FromInteger(args[
0]);
return ToInteger(result);
_wrap_foo_1(argc, args[]) { // foo(double)
arg1 = FromDouble(args[
0]);
return ToInteger(result);
_wrap_foo_2(argc, args[]) { // foo(char *, int)
arg1 = FromString(args[
0]);
arg2 = FromInteger(args[
1]);
return ToInteger(result);
<P> Next, a dynamic dispatch function is generated:
</P>
_wrap_foo(argc, args[]) {
if (IsInteger(args[
0])) {
return _wrap_foo_0(argc,args);
return _wrap_foo_1(argc,args);
if (IsString(args[
0])
&& IsInteger(args[
1])) {
return _wrap_foo_2(argc,args);
error(
"No matching function!\n
");
<P> The purpose of the dynamic dispatch function is to select the
appropriate C++ function based on argument types---a task that must be
performed at runtime in most of SWIG's target languages.
</P><P> The generation of the dynamic dispatch function is a relatively
tricky affair. Not only must input typemaps be taken into account
(these typemaps can radically change the types of arguments accepted),
but overloaded methods must also be sorted and checked in a very
specific order to resolve potential ambiguity. A high-level overview of
this ranking process is found in the
"<A href=
"#SWIGPlus">SWIG and C++
</A>" chapter. What isn't mentioned in that chapter is the mechanism by
which it is implemented---as a collection of typemaps.
</P><P> To support dynamic dispatch, SWIG first defines a general purpose
type hierarchy as follows:
</P>Symbolic Name Precedence Value
------------------------------ ------------------
SWIG_TYPECHECK_VOIDPTR
10 SWIG_TYPECHECK_UINT128
60 SWIG_TYPECHECK_INTEGER
70 SWIG_TYPECHECK_COMPLEX
100 SWIG_TYPECHECK_UNICHAR
110 SWIG_TYPECHECK_UNISTRING
120 SWIG_TYPECHECK_STRING
140 SWIG_TYPECHECK_BOOL_ARRAY
1015 SWIG_TYPECHECK_INT8_ARRAY
1025 SWIG_TYPECHECK_INT16_ARRAY
1035 SWIG_TYPECHECK_INT32_ARRAY
1045 SWIG_TYPECHECK_INT64_ARRAY
1055 SWIG_TYPECHECK_INT128_ARRAY
1065 SWIG_TYPECHECK_FLOAT_ARRAY
1080 SWIG_TYPECHECK_DOUBLE_ARRAY
1090 SWIG_TYPECHECK_CHAR_ARRAY
1130 SWIG_TYPECHECK_STRING_ARRAY
1140 <P> (These precedence levels are defined in
<TT>swig.swg
</TT>, a library
file that's included by all target language modules.)
</P><P> In this table, the precedence-level determines the order in which
types are going to be checked. Low values are always checked before
higher values. For example, integers are checked before floats, single
values are checked before arrays, and so forth.
</P><P> Using the above table as a guide, each target language defines a
collection of
"typecheck
" typemaps. The follow excerpt from the Python
module illustrates this:
</P>/* Python type checking rules */
/* Note: %typecheck(X) is a macro for %typemap(typecheck,precedence=X) */
%typecheck(SWIG_TYPECHECK_INTEGER)
unsigned int, unsigned short, unsigned long,
signed char, unsigned char,
long long, unsigned long long,
const int
&, const short
&, const long
&,
const unsigned int
&, const unsigned short
&, const unsigned long
&,
const long long
&, const unsigned long long
&,
$
1 = (PyInt_Check($input) || PyLong_Check($input)) ?
1 :
0;
%typecheck(SWIG_TYPECHECK_DOUBLE)
const float
&, const double
& $
1 = (PyFloat_Check($input) || PyInt_Check($input) || PyLong_Check($input)) ?
1 :
0;
%typecheck(SWIG_TYPECHECK_CHAR) char {
$
1 = (PyString_Check($input)
&& (PyString_Size($input) ==
1)) ?
1 :
0;
%typecheck(SWIG_TYPECHECK_STRING) char * {
$
1 = PyString_Check($input) ?
1 :
0;
%typecheck(SWIG_TYPECHECK_POINTER) SWIGTYPE *, SWIGTYPE
&, SWIGTYPE [] {
if (SWIG_ConvertPtr($input, (void **)
&ptr, $
1_descriptor,
0) == -
1) {
%typecheck(SWIG_TYPECHECK_POINTER) SWIGTYPE {
if (SWIG_ConvertPtr($input, (void **)
&ptr, $
&1_descriptor,
0) == -
1) {
%typecheck(SWIG_TYPECHECK_VOIDPTR) void * {
if (SWIG_ConvertPtr($input, (void **)
&ptr,
0,
0) == -
1) {
%typecheck(SWIG_TYPECHECK_POINTER) PyObject *
<P> It might take a bit of contemplation, but this code has merely
organized all of the basic C++ types, provided some simple
type-checking code, and assigned each type a precedence value.
</P><P> Finally, to generate the dynamic dispatch function, SWIG uses the
<LI>Overloaded methods are first sorted by the number of required
<LI>Methods with the same number of arguments are then sorted by
precedence values of argument types.
</LI><LI>Typecheck typemaps are then emitted to produce a dispatch function
that checks arguments in the correct order.
</LI><P> If you haven't written any typemaps of your own, it is unnecessary
to worry about the typechecking rules. However, if you have written new
input typemaps, you might have to supply a typechecking rule as well.
An easy way to do this is to simply copy one of the existing
typechecking rules. Here is an example,
</P>// Typemap for a C++ string
%typemap(in) std::string {
if (PyString_Check($input)) {
$
1 = std::string(PyString_AsString($input));
SWIG_exception(SWIG_TypeError,
"string expected
");
// Copy the typecheck code for
"char *
".
%typemap(typecheck) std::string = char *;
<P> The bottom line: If you are writing new typemaps and you are using
overloaded methods, you will probably have to write typecheck code or
copy existing code. Since this is a relatively new SWIG feature, there
are few examples to work with. However, you might look at some of the
existing library files likes 'typemaps.i' for a guide.
</P><LI>Typecheck typemaps are not used for non-overloaded methods. Because
of this, it is still always necessary to check types in any
"in
"<LI>The dynamic dispatch process is only meant to be a heuristic. There
are many corner cases where SWIG simply can't disambiguate types to the
same degree as C++. The only way to resolve this ambiguity is to use
the %rename directive to rename one of the overloaded methods
(effectively eliminating overloading).
</LI><LI> Typechecking may be partial. For example, if working with arrays,
the typecheck code might simply check the type of the first array
element and use that to dispatch to the correct function. Subsequent
"in
" typemaps would then perform more extensive type-checking.
</LI>
<LI>Make sure you read the section on overloading in the
"<A href=
"#SWIGPlus">
SWIG and C++
</A>" chapter.
</LI><H2><A name=
"Typemaps_nn48"></A>10.10 More about
<TT>%apply
</TT> and
<TT>
<P> In order to implement certain kinds of program behavior, it is
sometimes necessary to write sets of typemaps. For example, to support
output arguments, one often writes a set of typemaps like this:
</P>%typemap(in,numinputs=
0) int *OUTPUT (int temp) {
%typemap(argout) int *OUTPUT {
<P> To make it easier to apply the typemap to different argument types
and names, the
<TT>%apply
</TT> directive performs a copy of all
typemaps from one type to another. For example, if you specify this,
</P>%apply int *OUTPUT { int *retvalue, int32 *output };
<P> then all of the
<TT>int *OUTPUT
</TT> typemaps are copied to
<TT>int
*retvalue
</TT> and
<TT>int32 *output
</TT>.
</P><P> However, there is a subtle aspect of
<TT>%apply
</TT> that needs more
description. Namely,
<TT>%apply
</TT> does not overwrite a typemap rule
if it is already defined for the target datatype. This behavior allows
you to do two things:
</P><LI>You can specialize parts of a complex typemap rule by first defining
a few typemaps and then using
<TT>%apply
</TT> to incorporate the
<LI>Sets of different typemaps can be applied to the same datatype using
repeated
<TT>%apply
</TT> directives.
</LI>%typemap(in) int *INPUT (int temp) {
temp = ... get value from $input ...;
%typemap(check) int *POSITIVE {
SWIG_exception(SWIG_ValueError,
"Expected a positive number!\n
");
%apply int *INPUT { int *invalue };
%apply int *POSITIVE { int *invalue };
<P> Since
<TT>%apply
</TT> does not overwrite or replace any existing
rules, the only way to reset behavior is to use the
<TT>%clear
</TT> directive.
<TT>%clear
</TT> removes all typemap rules defined for a
specific datatype. For example:
</P><H2><A name=
"Typemaps_nn49"></A>10.11 Reducing wrapper code size
</H2>
<P> Since the code supplied to a typemap is inlined directly into
wrapper functions, typemaps can result in a tremendous amount of code
bloat. For example, consider this typemap for an array:
</P>%typemap(in) float [ANY] {
if (!PySequence_Check($input)) {
PyErr_SetString(PyExc_ValueError,
"Expected a sequence
");
if (PySequence_Length($input) != $
1_dim0) {
PyErr_SetString(PyExc_ValueError,
"Size mismatch. Expected $
1_dim0 elements
");
$
1 = (float) malloc($
1_dim0*sizeof(float));
for (i =
0; i
< $
1_dim0; i++) {
PyObject *o = PySequence_GetItem($input,i);
$
1[i] = (float) PyFloat_AsDouble(o);
PyErr_SetString(PyExc_ValueError,
"Sequence elements must be numbers
");
<P> If you had a large interface with hundreds of functions all
accepting array parameters, this typemap would be replicated
repeatedly--generating a huge amount of code. A better approach might
be to consolidate some of the typemap into a function. For example:
</P>/* Define a helper function */
convert_float_array(PyObject *input, int size) {
if (!PySequence_Check(input)) {
PyErr_SetString(PyExc_ValueError,
"Expected a sequence
");
if (PySequence_Length(input) != size) {
PyErr_SetString(PyExc_ValueError,
"Size mismatch.
");
result = (float) malloc(size*sizeof(float));
for (i =
0; i
< size; i++) {
PyObject *o = PySequence_GetItem(input,i);
result[i] = (float) PyFloat_AsDouble(o);
PyErr_SetString(PyExc_ValueError,
"Sequence elements must be numbers
");
%typemap(in) float [ANY] {
$
1 = convert_float_array($input, $
1_dim0);
<H2><A name=
"Typemaps_nn47"></A>10.12 Passing data between typemaps
</H2>
<P> It is also important to note that the primary use of local variables
is to create stack-allocated objects for temporary use inside a wrapper
function (this is faster and less-prone to error than allocating data
on the heap). In general, the variables are not intended to pass
information between different types of typemaps. However, this can be
done if you realize that local names have the argument number appended
to them. For example, you could do this:
</P>%typemap(in) int *(int temp) {
temp = (int) PyInt_AsLong($input);
PyObject *o = PyInt_FromLong(temp$argnum);
<P> In this case, the
<TT>$argnum
</TT> variable is expanded into the
argument number. Therefore, the code will reference the appropriate
local such as
<TT>temp1
</TT> and
<TT>temp2
</TT>. It should be noted
that there are plenty of opportunities to break the universe here and
that accessing locals in this manner should probably be avoided. At the
very least, you should make sure that the typemaps sharing information
have exactly the same types and names.
</P><H2><A name=
"Typemaps_nn51"></A>10.13 Where to go for more information?
</H2>
<P> The best place to find out more information about writing typemaps
is to look in the SWIG library. Most language modules define all of
their default behavior using typemaps. These are found in files such as
<TT>python.swg
</TT>,
<TT>perl5.swg
</TT>,
<TT>tcl8.swg
</TT> and so
forth. The
<TT>typemaps.i
</TT> file in the library also contains
numerous examples. You should look at these files to get a feel for how
to define typemaps of your own. Some of the language modules support
additional typemaps and further information is available in the
individual chapters for each target language.
</P><H1><A name=
"Customization"></A>11 Customization Features
</H1>
<LI><A href=
"#exception">Exception handling with %exception
</A>
<LI><A href=
"#Customization_nn3">Handling exceptions in C code
</A></LI>
<LI><A href=
"#Customization_nn4">Exception handling with longjmp()
</A></LI>
<LI><A href=
"#Customization_nn5">Handling C++ exceptions
</A></LI>
<LI><A href=
"#Customization_nn6">Defining different exception handlers
</A>
<LI><A href=
"#Customization_nn7">Using The SWIG exception library
</A></LI>
<LI><A href=
"#ownership">Object ownership and %newobject
</A></LI>
<LI><A href=
"#features">Features and the %feature directive
</A>
<LI><A href=
"#Customization_feature_flags">Feature flags
</A></LI>
<LI><A href=
"#Customization_clearing_features">Clearing features
</A></LI>
<LI><A href=
"#Customization_features_default_args">Features and default
<LI><A href=
"#features_example">Feature example
</A></LI>
<P> In many cases, it is desirable to change the default wrapping of
particular declarations in an interface. For example, you might want to
provide hooks for catching C++ exceptions, add assertions, or provide
hints to the underlying code generator. This chapter describes some of
these customization techniques. First, a discussion of exception
handling is presented. Then, a more general-purpose customization
mechanism known as
"features
" is described.
</P><H2><A name=
"exception"></A>11.1 Exception handling with %exception
</H2>
<P> The
<TT>%exception
</TT> directive allows you to define a general
purpose exception handler. For example, you can specify the following:
</P> PyErr_SetString(PyExc_IndexError,
"index out-of-bounds
");
<P> When defined, the code enclosed in braces is inserted directly into
the low-level wrapper functions. The special symbol
<TT>$action
</TT> gets replaced with the actual operation to be performed (a function
call, method invocation, attribute access, etc.). An exception handler
remains in effect until it is explicitly deleted. This is done by using
either
<TT>%exception
</TT> or
<TT>%noexception
</TT> with no code. For
%exception; // Deletes any previously defined handler
<P><B> Compatibility note:
</B> Previous versions of SWIG used a special
directive
<TT>%except
</TT> for exception handling. That directive is
deprecated--
<TT>%exception
</TT> provides the same functionality, but is
substantially more flexible.
</P><H3><A name=
"Customization_nn3"></A>11.1.1 Handling exceptions in C code
</H3>
<P> C has no formal exception handling mechanism so there are several
approaches that might be used. A somewhat common technique is to simply
set a special error code. For example:
</P>static char error_message[
256];
static int error_status =
0;
void throw_exception(char *msg) {
strncpy(error_message,msg,
256);
char *check_exception() {
if (error_status) return error_message;
<P> To use these functions, functions simply call
<TT>throw_exception()
</TT>
to indicate an error occurred. For example :
</P> if (x !=
0) return
1.0/x;
throw_exception(
"Division by zero
");
<P> To catch the exception, you can write a simple exception handler
such as the following (shown for Perl5) :
</P> if ((err = check_exception())) {
<P> In this case, when an error occurs, it is translated into a Perl
error. Each target language has its own approach to creating a runtime
error/exception in and for Perl it is the
<TT>croak
</TT> method shown
<H3><A name=
"Customization_nn4"></A>11.1.2 Exception handling with
<P> Exception handling can also be added to C code using the
<TT>
<setjmp.h
></TT> library. Here is a minimalistic implementation that
relies on the C preprocessor :
</P> Just the declaration of a few global variables we're going to use */
#include
<setjmp.h
>jmp_buf exception_buffer;
#include
<setjmp.h
>extern jmp_buf exception_buffer;
extern int exception_status;
#define try if ((exception_status = setjmp(exception_buffer)) ==
0)
#define catch(val) else if (exception_status == val)
#define throw(val) longjmp(exception_buffer,val)
<P> Now, within a C program, you can do the following :
</P>
else throw(DivisionByZero);
<P> Finally, to create a SWIG exception handler, write the following :
</P>
#include
"except.h
" croak(
"Range Error
");
} catch(DivisionByZero) {
croak(
"Division by zero
");
croak(
"Out of memory
");
croak(
"Unknown exception
");
<P> Note: This implementation is only intended to illustrate the general
idea. To make it work better, you'll need to modify it to handle nested
<TT>try
</TT> declarations.
</P>
<H3><A name=
"Customization_nn5"></A>11.1.3 Handling C++ exceptions
</H3>
<P> Handling C++ exceptions is also straightforward. For example:
</P>
croak(
"Range Error
");
} catch(DivisionByZero) {
croak(
"Division by zero
");
croak(
"Out of memory
");
croak(
"Unknown exception
");
<P> The exception types need to be declared as classes elsewhere,
possibly in a header file :
</P><H3><A name=
"Customization_nn6"></A>11.1.4 Defining different exception
<P> By default, the
<TT>%exception
</TT> directive creates an exception
handler that is used for all wrapper functions that follow it. Unless
there is a well-defined (and simple) error handling mechanism in place,
defining one universal exception handler may be unwieldy and result in
excessive code bloat since the handler is inlined into each wrapper
<P> To fix this, you can be more selective about how you use the
<TT>
%exception
</TT> directive. One approach is to only place it around
critical pieces of code. For example:
</P> ... your exception handler ...
/* Define critical operations that can throw exceptions here */
/* Define non-critical operations that don't throw exceptions */
<P> More precise control over exception handling can be obtained by
attaching an exception handler to specific declaration name. For
croak(
"Out of memory
");
<P> In this case, the exception handler is only attached to declarations
named
"allocate
". This would include both global and member functions.
The names supplied to
<TT>%exception
</TT> follow the same rules as for
<TT>%rename
</TT> described in the section on
<A href=
"#ambiguity_resolution_renaming">Ambiguity resolution and renaming
</A>. For example, if you wanted to
define an exception handler for a specific class, you might write this:
</P>%exception Object::allocate {
croak(
"Out of memory
");
<P> When a class prefix is supplied, the exception handler is applied to
the corresponding declaration in the specified class as well as for
identically named functions appearing in derived classes.
</P><P> <TT>%exception
</TT> can even be used to pinpoint a precise
declaration when overloading is used. For example:
</P>%exception Object::allocate(int) {
croak(
"Out of memory
");
<P> Attaching exceptions to specific declarations is a good way to
reduce code bloat. It can also be a useful way to attach exceptions to
specific parts of a header file. For example:
</P>#include
"someheader.h
"// Define a few exception handlers for specific declarations
%exception Object::allocate(int) {
croak(
"Out of memory
");
%exception Object::getitem {
croak(
"Index out of range
");
// Read a raw header file
%include
"someheader.h
"<P><B> Compatibility note:
</B> The
<TT>%exception
</TT> directive
replaces the functionality provided by the deprecated
"except
" typemap.
The typemap would allow exceptions to be thrown in the target language
based on the return type of a function and was intended to be a
mechanism for pinpointing specific declarations. However, it never
really worked that well and the new %exception directive is much
<H3><A name=
"Customization_nn7"></A>11.1.5 Using The SWIG exception
<P> The
<TT>exception.i
</TT> library file provides support for creating
language independent exceptions in your interfaces. To use it, simply
put an
"<TT>%include exception.i
</TT>" in your interface file. This
creates a function
<TT>SWIG_exception()
</TT> that can be used to raise
common scripting language exceptions in a portable manner. For example
// Language independent exception handler
SWIG_exception(SWIG_ValueError,
"Range Error
");
} catch(DivisionByZero) {
SWIG_exception(SWIG_DivisionByZero,
"Division by zero
");
SWIG_exception(SWIG_MemoryError,
"Out of memory
");
SWIG_exception(SWIG_RuntimeError,
"Unknown exception
");
<P> As arguments,
<TT>SWIG_exception()
</TT> takes an error type code (an
integer) and an error message string. The currently supported error
<P> Since the
<TT>SWIG_exception()
</TT> function is defined at the
C-level it can be used elsewhere in SWIG. This includes typemaps and
<H2><A name=
"ownership"></A>11.2 Object ownership and %newobject
</H2>
<P> A common problem in some applications is managing proper ownership
of objects. For example, consider a function like this:
</P><P> If you wrap the function
<TT>blah()
</TT>, SWIG has no idea that the
return value is a newly allocated object. As a result, the resulting
extension module may produce a memory leak (SWIG is conservative and
will never delete objects unless it knows for certain that the returned
object was newly created).
</P><P> To fix this, you can provide an extra hint to the code generator
using the
<TT>%newobject
</TT> directive. For example:
</P><P> <TT>%newobject
</TT> works exactly like
<TT>%rename
</TT> and
<TT>
%exception
</TT>. In other words, you can attach it to class members and
parameterized declarations as before. For example:
</P>%newobject ::blah(); // Only applies to global blah
%newobject Object::blah(int,double); // Only blah(int,double) in Object
%newobject *::copy; // Copy method in all classes
<P> When
<TT>%newobject
</TT> is supplied, many language modules will
arrange to take ownership of the return value. This allows the value to
be automatically garbage-collected when it is no longer in use.
However, this depends entirely on the target language (a language
module may also choose to ignore the
<TT>%newobject
</TT> directive).
</P><P> Closely related to
<TT>%newobject
</TT> is a special typemap. The
"newfree
" typemap can be used to deallocate a newly allocated return
value. It is only available on methods for which
<TT>%newobject
</TT> has been applied and is commonly used to clean-up string results. For
%typemap(newfree) char *
"free($
1);
";
char *strdup(const char *s);
<P> In this case, the result of the function is a string in the target
language. Since this string is a copy of the original result, the data
returned by
<TT>strdup()
</TT> is no longer needed. The
"newfree
" typemap in the example simply releases this memory.
</P><P><B> Compatibility note:
</B> Previous versions of SWIG had a special
<TT>
%new
</TT> directive. However, unlike
<TT>%newobject
</TT>, it only
applied to the next declaration. For example:
</P>%new char *strdup(const char *s);
<P> For now this is still supported but is deprecated.
</P>
<P><B> How to shoot yourself in the foot:
</B> The
<TT>%newobject
</TT>
directive is not a declaration modifier like the old
<TT>%new
</TT> directive. Don't write code like this:
</P>char *strdup(const char *s);
<P> The results might not be what you expect.
</P>
<H2><A name=
"features"></A>11.3 Features and the %feature directive
</H2>
<P> Both
<TT>%exception
</TT> and
<TT>%newobject
</TT> are examples of a
more general purpose customization mechanism known as
"features.
" A
feature is simply a user-definable property that is attached to
specific declarations. Features are attached using the
<TT>%feature
</TT> directive. For example:
</P>%feature(
"except
") Object::allocate {
croak(
"Out of memory
");
%feature(
"new
",
"1") *::copy;
<P> In fact, the
<TT>%exception
</TT> and
<TT>%newobject
</TT> directives
are really nothing more than macros involving
<TT>%feature
</TT>:
</P>#define %exception %feature(
"except
")
#define %newobject %feature(
"new
",
"1")
<P> The name matching rules outlined in the
<A href=
"#ambiguity_resolution_renaming">
Ambiguity resolution and renaming
</A> section applies to all
<TT>%feature
</TT> directives. In fact the the
<TT>%rename
</TT> directive is
just a special form of
<TT>%feature
</TT>. The matching rules mean that
features are very flexible and can be applied with pinpoint accuracy to
specific declarations if needed. Additionally, if no declaration name
is given, a global feature is said to be defined. This feature is then
attached to
<EM> every
</EM> declaration that follows. This is how global
exception handlers are defined. For example:
</P>/* Define a global exception handler */
%feature(
"except
") {
... bunch of declarations ...
<P> The
<TT>%feature
</TT> directive can be used with different syntax.
The following are all equivalent:
</P>%feature(
"except
") Object::method { $action };
%feature(
"except
") Object::method %{ $action %};
%feature(
"except
") Object::method
" $action
";
%feature(
"except
",
"$action
") Object::method;
<P> The syntax in the first variation will generate the
<TT>{ }
</TT>
delimiters used whereas the other variations will not. The
<TT>%feature
</TT> directive also accepts XML style attributes in the same way that
typemaps will. Any number of attributes can be specified. The following
is the generic syntax for features:
</P>%feature(
"name
",
"value
", attribute1=
"AttributeValue1
") symbol;
%feature(
"name
", attribute1=
"AttributeValue1
") symbol {value};
%feature(
"name
", attribute1=
"AttributeValue1
") symbol %{value%};
%feature(
"name
", attribute1=
"AttributeValue1
") symbol
"value
";
<P> More than one attribute can be specified using a comma separated
list. The Java module is an example that uses attributes in
<TT>%feature(
"except
")
</TT>. The
<TT>throws
</TT> attribute specifies the
name of a Java class to add to a proxy method's throws clause. In the
following example,
<TT>MyExceptionClass
</TT> is the name of the Java
class for adding to the throws clause.
</P>%feature(
"except
", throws=
"MyExceptionClass
") Object::method {
... code to throw a MyExceptionClass Java exception ...
<P> Further details can be obtained from the
<A href=
"#exception_handling">
Java exception handling
</A> section.
</P><H3><A name=
"Customization_feature_flags"></A>11.3.1 Feature flags
</H3>
<P> Feature flags are used to enable or disable a particular feature.
Feature flags are a common but simple usage of
<TT>%feature
</TT> and
the feature value should be either
<TT>1</TT> to enable or
<TT>0</TT> to disable the feature.
</P>%feature(
"name
") // enables feature
%feature(
"name
",
"1") // enables feature
%feature(
"name
",
"x
") // enables feature
%feature(
"name
",
"0") // disables feature
%feature(
"name
",
"") // clears feature
<P> Actually any value other than zero will enable the feature. Note
that if the value is omitted completely, the default value becomes
<TT>1</TT>, thereby enabling the feature. A feature is cleared by specifying
no value, see
<A href=
"#Customization_clearing_features">Clearing
features
</A>. The
<TT>%immutable
</TT> directive described in the
<A href=
"#SWIG_readonly_variables">Creating read-only variables
</A> section, is just a macro for
<TT>%feature(
"immutable
")
</TT>, and can be used to demonstrates feature
// features are disabled by default
%feature(
"immutable
"); // global enable
%feature(
"immutable
",
"0"); // global disable
%feature(
"immutable
",
"1"); // another form of global enable
%feature(
"immutable
",
""); // clears the global feature
<P> Note that features are disabled by default and must be explicitly
enabled either globally or by specifying a targeted declaration. The
above intersperses SWIG directives with C code. Of course you can
target features explicitly, so the above could also be rewritten as:
</P>%feature(
"immutable
",
"1") orange;
%feature(
"immutable
",
"1") green;
<P> The above approach allows for the C declarations to be separated
from the SWIG directives for when the C declarations are parsed from a
C header file. The logic above can of course be inverted and rewritten
%feature(
"immutable
",
"1");
%feature(
"immutable
",
"0") red;
%feature(
"immutable
",
"0") yellow;
%feature(
"immutable
",
"0") blue;
<H3><A name=
"Customization_clearing_features"></A>11.3.2 Clearing
<P> A feature stays in effect until it is explicitly cleared. A feature
is cleared by supplying a
<TT>%feature
</TT> directive with no value.
For example
<TT>%feature(
"name
",
"")
</TT>. A cleared feature means that
any feature exactly matching any previously defined feature is no
longer used in the name matching rules. So if a feature is cleared, it
might mean that another name matching rule will apply. To clarify,
let's consider the
<TT>except
</TT> feature again (
<TT>%exception
</TT>):
</P>// Define global exception handler
%feature(
"except
") {
croak(
"Unknown C++ exception
");
// Define exception handler for all clone methods to log the method calls
%feature(
"except
") *::clone() {
logger.info(
"$action
");
croak(
"Unknown C++ exception
");
... initial set of class declarations with clone methods ...
// clear the previously defined feature
%feature(
"except
",
"") *::clone();
... final set of class declarations with clone methods ...
<P> In the above scenario, the initial set of clone methods will log all
method invocations from the target language. This specific feature is
cleared for the final set of clone methods. However, these clone
methods will still have an exception handler (without logging) as the
next best feature match for them is the global exception handler.
</P><P> Note that clearing a feature is not always the same as disabling it.
Clearing the feature above with
<TT>%feature(
"except
",
"") *::clone()
</TT> is not the same as specifying
<TT>%feature(
"except
",
"0") *::clone()
</TT>. The former will disable the feature for clone methods - the feature is
still a better match than the global feature. If on the other hand, no
global exception handler had been defined at all, then clearing the
feature would be the same as disabling it as no other feature would
<P> Note that the feature must match exactly for it to be cleared by any
previously defined feature. For example the following attempt to clear
the initial feature will not work:
</P>%feature(
"except
") clone() { logger.info(
"$action
"); $action }
%feature(
"except
",
"") *::clone();
%feature(
"except
") clone() { logger.info(
"$action
"); $action }
%feature(
"except
",
"") clone();
<H3><A name=
"Customization_features_default_args"></A>11.3.3 Features
and default arguments
</H3><P> SWIG treats methods with default arguments as separate overloaded
methods as detailed in the
<A href=
"#SWIGPlus_default_args">default
arguments
</A> section. Any
<TT>%feature
</TT> targeting a method with
default arguments will apply to all the extra overloaded methods that
SWIG generates if the default arguments are specified in the feature.
If the default arguments are not specified in the feature, then the
feature will match that exact wrapper method only and not the extra
overloaded methods that SWIG generates. For example:
</P>%feature(
"except
") void hello(int i=
0, double d=
0.0) { ... }
void hello(int i=
0, double d=
0.0);
<P> will apply the feature to all three wrapper methods, that is:
</P>
void hello(int i, double d);
<P> If the default arguments are not specified in the feature:
</P>
%feature(
"except
") void hello(int i, double d) { ... }
void hello(int i=
0, double d=
0.0);
<P> then the feature will only apply to this wrapper method:
</P>
void hello(int i, double d);
<P> and not these wrapper methods:
</P>
<P> If
<A href=
"#SWIGPlus_default_args">compactdefaultargs
</A> are being
used, then the difference between specifying or not specifying default
arguments in a feature is not applicable as just one wrapper is
<P><B> Compatibility note:
</B> The different behaviour of features
specified with or without default arguments was introduced in
SWIG-
1.3.23 when the approach to wrapping methods with default
arguments was changed.
</P><H3><A name=
"features_example"></A>11.3.4 Feature example
</H3>
<P> As has been shown earlier, the intended use for the
<TT>%feature
</TT>
directive is as a highly flexible customization mechanism that can be
used to annotate declarations with additional information for use by
specific target language modules. Another example is in the Python
module. You might use
<TT>%feature
</TT> to rewrite proxy/shadow class
%rename(bar_id) bar(int,double);
// Rewrite bar() to allow some nice overloading
%feature(
"shadow
") Foo::bar(int) %{
return apply(examplec.Foo_bar_id,args)
return apply(examplec.Foo_bar,args)
int bar(int x, double y);
<P> Further details of
<TT>%feature
</TT> usage is described in the
documentation for specific language modules.
</P><H1><A name=
"Contract"></A>12 Contracts
</H1>
<LI><A href=
"#Contract_nn2">The %contract directive
</A></LI>
<LI><A href=
"#Contract_nn3">%contract and classes
</A></LI>
<LI><A href=
"#Contract_nn4">Constant aggregation and %aggregate_check
</A>
<LI><A href=
"#Contract_nn5">Notes
</A></LI>
<P> A common problem that arises when wrapping C libraries is that of
maintaining reliability and checking for errors. The fact of the matter
is that many C programs are notorious for not providing error checks.
Not only that, when you expose the internals of an application as a
library, it often becomes possible to crash it simply by providing bad
inputs or using it in a way that wasn't intended.
</P><P> This chapter describes SWIG's support for software contracts. In the
context of SWIG, a contract can be viewed as a runtime constraint that
is attached to a declaration. For example, you can easily attach
argument checking rules, check the output values of a function and
more. When one of the rules is violated by a script, a runtime
exception is generated rather than having the program continue to
<H2><A name=
"Contract_nn2"></A>12.1 The %contract directive
</H2>
<P> Contracts are added to a declaration using the %contract directive.
Here is a simple example:
</P>%contract sqrt(double x) {
<P> In this case, a contract is being added to the
<TT>sqrt()
</TT>
function. The
<TT>%contract
</TT> directive must always appear before
the declaration in question. Within the contract there are two
sections, both of which are optional. The
<TT>require:
</TT> section
specifies conditions that must hold before the function is called.
Typically, this is used to check argument values. The
<TT>ensure:
</TT> section specifies conditions that must hold after the function is
called. This is often used to check return values or the state of the
program. In both cases, the conditions that must hold must be specified
as boolean expressions.
</P><P> In the above example, we're simply making sure that sqrt() returns a
non-negative number (if it didn't, then it would be broken in some
<P> Once a contract has been specified, it modifies the behavior of the
resulting module. For example:
</P>>>> example.sqrt(
2)
>>> example.sqrt(-
2)
Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
RuntimeError: Contract violation: require: (arg1
>=
0)
<H2><A name=
"Contract_nn3"></A>12.2 %contract and classes
</H2>
<P> The
<TT>%contract
</TT> directive can also be applied to class
methods and constructors. For example:
</P>%contract Foo::bar(int x, int y) {
%contract Foo::Foo(int a) {
<P> The way in which
<TT>%contract
</TT> is applied is exactly the same
as the
<TT>%feature
</TT> directive. Thus, any contract that you
specified for a base class will also be attached to inherited methods.
class Spam : public Foo {
int bar(int,int); // Gets contract defined for Foo::bar(int,int)
<P> In addition to this, separate contracts can be applied to both the
base class and a derived class. For example:
</P>%contract Foo::bar(int x, int) {
%contract Spam::bar(int, int y) {
int bar(int,int); // Gets Foo::bar contract.
class Spam : public Foo {
int bar(int,int); // Gets Foo::bar and Spam::bar contract
<P> When more than one contract is applied, the conditions specified in
a
"require:
" section are combined together using a logical-AND
operation. In other words conditions specified for the base class and
conditions specified for the derived class all must hold. In the above
example, this means that both the arguments to
<TT>Spam::bar
</TT> must
<H2><A name=
"Contract_nn4"></A>12.3 Constant aggregation and
<P> Consider an interface file that contains the following code:
</P>
void move(SomeObject *, int direction, int distance);
<P> One thing you might want to do is impose a constraint on the
direction parameter to make sure it's one of a few accepted values. To
do that, SWIG provides an easy to use macro %aggregate_check() that
%aggregate_check(int, check_direction, UP, DOWN, LEFT, RIGHT);
<P> This merely defines a utility function of the form
</P>
int check_direction(int x);
<P> That checks the argument x to see if it is one of the values listed.
This utility function can be used in contracts. For example:
</P>%aggregate_check(int, check_direction, UP, DOWN, RIGHT, LEFT);
%contract move(SomeObject *, int direction, in) {
check_direction(direction);
void move(SomeObject *, int direction, int distance);
<P> Alternatively, it can be used in typemaps and other directives. For
%aggregate_check(int, check_direction, UP, DOWN, RIGHT, LEFT);
%typemap(check) int direction {
if (!check_direction($
1)) SWIG_exception(SWIG_ValueError,
"Bad direction
");
void move(SomeObject *, int direction, int distance);
<P> Regrettably, there is no automatic way to perform similar checks
with enums values. Maybe in a future release.
</P><H2><A name=
"Contract_nn5"></A>12.4 Notes
</H2>
<P> Contract support was implemented by Songyan (Tiger) Feng and first
appeared in SWIG-
1.3.20.
</P><H1><A name=
"Varargs"></A>13 Variable Length Arguments
</H1>
<LI><A href=
"#Varargs_nn2">Introduction
</A></LI>
<LI><A href=
"#Varargs_nn3">The Problem
</A></LI>
<LI><A href=
"#Varargs_nn4">Default varargs support
</A></LI>
<LI><A href=
"#Varargs_nn5">Argument replacement using %varargs
</A></LI>
<LI><A href=
"#Varargs_nn6">Varargs and typemaps
</A></LI>
<LI><A href=
"#Varargs_nn7">Varargs wrapping with libffi
</A></LI>
<LI><A href=
"#Varargs_nn8">Wrapping of va_list
</A></LI>
<LI><A href=
"#Varargs_nn9">C++ Issues
</A></LI>
<LI><A href=
"#Varargs_nn10">Discussion
</A></LI>
<P><B> (a.k.a,
"The horror. The horror.
")
</B></P>
<P> This chapter describes the problem of wrapping functions that take a
variable number of arguments. For instance, generating wrappers for the
C
<TT>printf()
</TT> family of functions.
</P><P> This topic is sufficiently advanced to merit its own chapter. In
fact, support for varargs is an often requested feature that was first
added in SWIG-
1.3.12. Most other wrapper generation tools have wisely
chosen to avoid this issue.
</P><H2><A name=
"Varargs_nn2"></A>13.1 Introduction
</H2>
<P> Some C and C++ programs may include functions that accept a variable
number of arguments. For example, most programmers are familiar with
functions from the C library such as the following:
</P>int printf(const char *fmt, ...)
int fprintf(FILE *, const char *fmt, ...);
int sprintf(char *s, const char *fmt, ...);
<P> Although there is probably little practical purpose in wrapping
these specific C library functions in a scripting language (what would
be the point?), a library may include its own set of special functions
based on a similar API. For example:
</P>int traceprintf(const char *fmt, ...);
<P> In this case, you may want to have some kind of access from the
<P> Before describing the SWIG implementation, it is important to
discuss the common uses of varargs that you are likely to encounter in
real programs. Obviously, there are the
<TT>printf()
</TT> style output
functions as shown. Closely related to this would be
<TT>scanf()
</TT> style input functions that accept a format string and a list of
pointers into which return values are placed. However, variable length
arguments are also sometimes used to write functions that accept a
NULL-terminated list of pointers. A good example of this would be a
int execlp(const char *path, const char *arg1, ...);
execlp(
"ls
",
"ls
",
"-l
",NULL);
<P> In addition, varargs is sometimes used to fake default arguments in
older C libraries. For instance, the low level
<TT>open()
</TT> system
call is often declared as a varargs function so that it will accept two
int open(const char *path, int oflag, ...);
f = open(
"foo
", O_RDONLY);
g = open(
"bar
", O_WRONLY | O_CREAT,
0644);
<P> Finally, to implement a varargs function, recall that you have to
use the C library functions defined in
<TT><stdarg.h
></TT>. For
List make_list(const char *s, ...) {
s = va_arg(ap, const char *);
<H2><A name=
"Varargs_nn3"></A>13.2 The Problem
</H2>
<P> Generating wrappers for a variable length argument function presents
a number of special challenges. Although C provides support for
implementing functions that receive variable length arguments, there
are no functions that can go in the other direction. Specifically, you
can't write a function that dynamically creates a list of arguments and
which invokes a varargs function on your behalf.
</P><P> Although it is possible to write functions that accept the special
type
<TT>va_list
</TT>, this is something entirely different. You can't
take a
<TT>va_list
</TT> structure and pass it in place of the variable
length arguments to another varargs function. It just doesn't work.
</P><P> The reason this doesn't work has to do with the way that function
calls get compiled. For example, suppose that your program has a
function call like this:
</P>printf(
"Hello %s. Your number is %d\n
", name, num);
<P> When the compiler looks at this, it knows that you are calling
<TT>
printf()
</TT> with exactly three arguments. Furthermore, it knows that
the number of arguments as well are their types and sizes is
<EM> never
</EM> going to change during program execution. Therefore, this gets turned
to machine code that sets up a three-argument stack frame followed by a
call to
<TT>printf()
</TT>.
</P><P> In contrast, suppose you attempted to make some kind of wrapper
around
<TT>printf()
</TT> using code like this:
</P>int wrap_printf(const char *fmt, ...) {
<P> Athough this code might compile, it won't do what you expect. This
is because the call to
<TT>printf()
</TT> is compiled as a procedure
call involving only two arguments. However, clearly a two-argument
configuration of the call stack is completely wrong if your intent is
to pass an arbitrary number of arguments to the real
<TT>printf()
</TT>.
Needless to say, it won't work.
</P><P> Unfortunately, the situation just described is exactly the problem
faced by wrapper generation tools. In general, the number of passed
arguments will not be known until run-time. To make matters even worse,
you won't know the types and sizes of arguments until run-time as well.
Needless to say, there is no obvious way to make the C compiler
generate code for a function call involving an unknown number of
arguments of unknown types.
</P><P> In theory, it
<EM> is
</EM> possible to write a wrapper that does the
right thing. However, this involves knowing the underlying ABI for the
target platform and language as well as writing special purpose code
that manually constructed the call stack before making a procedure
call. Unfortunately, both of these tasks require the use of inline
assembly code. Clearly, that's the kind of solution you would much
<P> With this nastiness in mind, SWIG provides a number of solutions to
the varargs wrapping problem. Most of these solutions are compromises
that provide limited varargs support without having to resort to
assembly language. However, SWIG can also support real varargs wrapping
(with stack-frame manipulation) if you are willing to get hands dirty.
<H2><A name=
"Varargs_nn4"></A>13.3 Default varargs support
</H2>
<P> When variable length arguments appear in an interface, the default
behavior is to drop the variable argument list entirely, replacing them
with a single NULL pointer. For example, if you had this function,
</P>void traceprintf(const char *fmt, ...);
<P> it would be wrapped as if it had been declared as follows:
</P>
void traceprintf(const char *fmt);
<P> When the function is called inside the wrappers, it is called as
<P> Arguably, this approach seems to defeat the whole point of variable
length arguments. However, this actually provides enough support for
many simple kinds of varargs functions to still be useful. For
instance, you could make function calls like this (in Python):
</P>>>> traceprintf(
"Hello World
")
>>> traceprintf(
"Hello %s. Your number is %d\n
" % (name, num))
<P> Notice how string formatting is being done in Python instead of C.
</P>
<H2><A name=
"Varargs_nn5"></A>13.4 Argument replacement using %varargs
</H2>
<P> Instead of dropping the variable length arguments, an alternative
approach is to replace
<TT>(...)
</TT> with a set of suitable arguments.
SWIG provides a special
<TT>%varargs
</TT> directive that can be used to
do this. For example,
</P>%varargs(int mode =
0) open;
int open(const char *path, int oflags, ...);
<P> is equivalent to this:
</P>
int open(const char *path, int oflags, int mode =
0);
<P> In this case,
<TT>%varargs
</TT> is simply providing more specific
information about the extra arguments that might be passed to a
function. If the parameters to a varargs function are of uniform type,
<TT>%varargs
</TT> can also accept a numerical argument count as follows:
</P>%varargs(
10,char *arg = NULL) execlp;
int execlp(const char *path, const char *arg1, ...);
<P> This would wrap
<TT>execlp()
</TT> as a function that accepted up to
10 optional arguments. Depending on the application, this may be more
than enough for practical purposes.
</P><P> Argument replacement is most appropriate in cases where the types of
the extra arguments is uniform and the maximum number of arguments is
known. When replicated argument replacement is used, at least one extra
argument is added to the end of the arguments when making the function
call. This argument serves as a sentinel to make sure the list is
properly terminated. It has the same value as that supplied to the
<TT>%varargs
</TT> directive.
</P><P> Argument replacement is not as useful when working with functions
that accept mixed argument types such as
<TT>printf()
</TT>. Providing
general purpose wrappers to such functions presents special problems
<H2><A name=
"Varargs_nn6"></A>13.5 Varargs and typemaps
</H2>
<P> Variable length arguments may be used in typemap specifications. For
// Get variable length arguments (somehow)
%typemap(in) (const char *fmt, ...) {
// Multi-argument typemap
<P> However, this immediately raises the question of what
"type
" is
actually used to represent
<TT>(...)
</TT>. For lack of a better
alternative, the type of
<TT>(...)
</TT> is set to
<TT>void *
</TT>.
Since there is no way to dynamically pass arguments to a varargs
function (as previously described), the
<TT>void *
</TT> argument value
is intended to serve as a place holder for storing some kind of
information about the extra arguments (if any). In addition, the
default behavior of SWIG is to pass the
<TT>void *
</TT> value as an
argument to the function. Therefore, you could use the pointer to hold
a valid argument value if you wanted.
</P><P> To illustrate, here is a safer version of wrapping
<TT>printf()
</TT>
%typemap(in) (const char *fmt, ...) {
$
1 =
"%s
"; /* Fix format string to %s */
$
2 = (void *) PyString_AsString($input); /* Get string argument */
int printf(const char *fmt, ...);
<P> In this example, the format string is implicitly set to
<TT>"%s
"</TT>
. This prevents a program from passing a bogus format string to the
extension. Then, the passed input object is decoded and placed in the
<TT>void *
</TT> argument defined for the
<TT>(...)
</TT> argument. When the
actual function call is made, the underlying wrapper code will look
arg2 = (void *) PyString_AsString(arg2obj);
result = printf(arg1,arg2);
<P> Notice how both arguments are passed to the function and it does
what you would expect.
</P><P> The next example illustrates a more advanced kind of varargs
typemap. Disclaimer: this requires special support in the target
language module and is not guaranteed to work with all SWIG modules at
this time. It also starts to illustrate some of the more fundamental
problems with supporting varargs in more generality.
</P><P> If a typemap is defined for any form of
<TT>(...)
</TT>, many SWIG
modules will generate wrappers that accept a variable number of
arguments as input and will make these arguments available in some
form. The precise details of this depends on the language module being
used (consult the appropriate chapter for more details). However,
suppose that you wanted to create a Python wrapper for the
<TT>execlp()
</TT> function shown earlier. To do this using a typemap instead of using
<TT>%varargs
</TT>, you might first write a typemap like this:
</P>%typemap(in) (...)(char *args[
10]) {
for (i =
0; i
< 10; i++) args[i] =
0;
argc = PyTuple_Size(varargs);
PyErr_SetString(PyExc_ValueError,
"Too many arguments
");
for (i =
0; i
< argc; i++) {
PyObject *o = PyTuple_GetItem(varargs,i);
if (!PyString_Check(o)) {
PyErr_SetString(PyExc_ValueError,
"Expected a string
");
args[i] = PyString_AsString(o);
<P> In this typemap, the special variable
<TT>varargs
</TT> is a tuple
holding all of the extra arguments passed (this is specific to the
Python module). The typemap then pulls this apart and sticks the values
into the array of strings
<TT>args
</TT>. Then, the array is assigned to
<TT>$
1</TT> (recall that this is the
<TT>void *
</TT> variable
corresponding to
<TT>(...)
</TT>). However, this assignment is only half
of the picture----clearly this alone is not enough to make the function
work. To patch everything up, you have to rewrite the underlying action
code using the
<TT>%feature
</TT> directive like this:
</P>%feature(
"action
") execlp {
char *args = (char **) arg3;
result = execlp(arg1, arg2, args[
0], args[
1], args[
2], args[
3], args[
4],
args[
5],args[
6],args[
7],args[
8],args[
9], NULL);
int execlp(const char *path, const char *arg, ...);
<P> This patches everything up and creates a function that more or less
works. However, don't try explaining this to your coworkers unless you
know for certain that they've had several cups of coffee. If you really
want to elevate your guru status and increase your job security,
continue to the next section.
</P><H2><A name=
"Varargs_nn7"></A>13.6 Varargs wrapping with libffi
</H2>
<P> All of the previous examples have relied on features of SWIG that
are portable and which don't rely upon any low-level machine-level
details. In many ways, they have all dodged the real issue of variable
length arguments by recasting a varargs function into some weaker
variation with a fixed number of arguments of known types. In many
cases, this works perfectly fine. However, if you want more generality
than this, you need to bring out some bigger guns.
</P><P> One way to do this is to use a special purpose library such as
libffi (
<A href=
"http://sources.redhat.com/libffi/">http://sources.redhat.com/libffi
</A>). libffi is a library that allows
you to dynamically construct call-stacks and invoke procedures in a
relatively platform independent manner. Details about the library can
be found in the libffi distribution and are not repeated here.
</P><P> To illustrate the use of libffi, suppose that you
<EM> really
</EM>
wanted to create a wrapper for
<TT>execlp()
</TT> that accepted
<EM> any
</EM> number of arguments. To do this, you might make a few adjustments to
the previous example. For example:
</P>/* Take an arbitrary number of extra arguments and place into an array
argc = PyTuple_Size(varargs);
argv = (char **) malloc(sizeof(char *)*(argc+
1));
for (i =
0; i
< argc; i++) {
PyObject *o = PyTuple_GetItem(varargs,i);
if (!PyString_Check(o)) {
PyErr_SetString(PyExc_ValueError,
"Expected a string
");
argv[i] = PyString_AsString(o);
/* Rewrite the function call, using libffi */
%feature(
"action
") execlp {
vc = PyTuple_Size(varargs);
types = (ffi_type **) malloc((vc+
3)*sizeof(ffi_type *));
values = (void **) malloc((vc+
3)*sizeof(void *));
/* Set up path parameter */
types[
0] =
&ffi_type_pointer;
/* Set up first argument */
types[
1] =
&ffi_type_pointer;
/* Set up rest of parameters */
for (i =
0; i
<= vc; i++) {
types[
2+i] =
&ffi_type_pointer;
values[
2+i] =
&args[i];
if (ffi_prep_cif(
&cif, FFI_DEFAULT_ABI, vc+
3,
&ffi_type_uint, types) == FFI_OK) {
ffi_call(
&cif, (void (*)()) execlp,
&result, values);
PyErr_SetString(PyExc_RuntimeError,
"Whoa!!!!!
");
/* Declare the function. Whew! */
int execlp(const char *path, const char *arg1, ...);
<P> Looking at this example, you may start to wonder if SWIG is making
life any easier. Given the amount of code involved, you might also
wonder why you didn't just write a hand-crafted wrapper! Either that or
you're wondering
"why in the hell am I trying to wrap this varargs
function in the first place?!?
" Obviously, those are questions you'll
have to answer for yourself.
</P><P> As a more extreme example of libffi, here is some code that attempts
to wrap
<TT>printf()
</TT>,
</P>/* A wrapper for printf() using libffi */
/* Structure for holding passed arguments after conversion */
enum { VT_INT, VT_DOUBLE, VT_POINTER };
%typemap(in) (const char *fmt, ...) {
$
1 = PyString_AsString($input);
/* Variable length arguments */
argc = PyTuple_Size(varargs);
argv = (vtype *) malloc(argc*sizeof(vtype));
for (i =
0; i
< argc; i++) {
PyObject *o = PyTuple_GetItem(varargs,i);
argv[i].val.ivalue = PyInt_AsLong(o);
} else if (PyFloat_Check(o)) {
argv[i].type = VT_DOUBLE;
argv[i].val.dvalue = PyFloat_AsDouble(o);
} else if (PyString_Check(o)) {
argv[i].type = VT_POINTER;
argv[i].val.pvalue = (void *) PyString_AsString(o);
PyErr_SetString(PyExc_ValueError,
"Unsupported argument type
");
/* Rewrite the function call using libffi */
%feature(
"action
") printf {
vc = PyTuple_Size(varargs);
types = (ffi_type **) malloc((vc+
1)*sizeof(ffi_type *));
values = (void **) malloc((vc+
1)*sizeof(void *));
/* Set up fmt parameter */
types[
0] =
&ffi_type_pointer;
/* Set up rest of parameters */
for (i =
0; i
< vc; i++) {
types[
1+i] =
&ffi_type_uint;
values[
1+i] =
&args[i].val.ivalue;
types[
1+i] =
&ffi_type_double;
values[
1+i] =
&args[i].val.dvalue;
types[
1+i] =
&ffi_type_pointer;
values[
1+i] =
&args[i].val.pvalue;
abort(); /* Whoa! We're seriously hosed */
if (ffi_prep_cif(
&cif, FFI_DEFAULT_ABI, vc+
1,
&ffi_type_uint, types) == FFI_OK) {
ffi_call(
&cif, (void (*)()) printf,
&result, values);
PyErr_SetString(PyExc_RuntimeError,
"Whoa!!!!!
");
int printf(const char *fmt, ...);
<P> Much to your amazement, it even seems to work if you try it:
</P>
>>> import example
>>> example.printf(
"Grade: %s %d/
60 = %
0.2f%%\n
",
"Dave
",
47,
47.0*
100/
60)
Grade: Dave
47/
60 =
78.33%
<P> Of course, there are still some limitations to consider:
</P>
>>> example.printf(
"la de da de da %s
",
42)
Segmentation fault (core dumped)
<P> And, on this note, we leave further exploration of libffi to the
reader as an exercise. Although Python has been used as an example,
most of the techniques in this section can be extrapolated to other
language modules with a bit of work. The only details you need to know
is how the extra arguments are accessed in each target language. For
example, in the Python module, we used the special
<TT>varargs
</TT> variable to get these arguments. Modules such as Tcl8 and Perl5 simply
provide an argument number for the first extra argument. This can be
used to index into an array of passed arguments to get values. Please
consult the chapter on each language module for more details.
</P><H2><A name=
"Varargs_nn8"></A>13.7 Wrapping of va_list
</H2>
<P> Closely related to variable length argument wrapping, you may
encounter functions that accept a parameter of type
<TT>va_list
</TT>.
int vfprintf(FILE *f, const char *fmt, va_list ap);
<P> As far as we know, there is no obvious way to wrap these functions
with SWIG. This is because there is no documented way to assemble the
proper va_list structure (there are no C library functions to do it and
the contents of va_list are opaque). Not only that, the contents of a
<TT>va_list
</TT> structure are closely tied to the underlying call-stack.
It's not clear that exporting a
<TT>va_list
</TT> would have any use or
that it would work at all.
</P><H2><A name=
"Varargs_nn9"></A>13.8 C++ Issues
</H2>
<P> Wrapping of C++ member functions that accept a variable number of
arguments presents a number of challenges. By far, the easiest way to
handle this is to use the
<TT>%varargs
</TT> directive. This is portable
and it fully supports classes much like the
<TT>%rename
</TT> directive.
%varargs (
10, char * = NULL) Foo::bar;
virtual void bar(char *arg, ...); // gets varargs above
virtual void bar(char *arg, ...); // gets varargs above
<P> <TT>%varargs
</TT> also works with constructors, operators, and any
other C++ programming construct that accepts variable arguments.
</P><P> Doing anything more advanced than this is likely to involve a
serious world of pain. In order to use a library like libffi, you will
need to know the underlying calling conventions and details of the C++
ABI. For instance, the details of how
<TT>this
</TT> is passed to member
functions as well as any hidden arguments that might be used to pass
additional information. These details are implementation specific and
may differ between compilers and even different versions of the same
compiler. Also, be aware that invoking a member function is further
complicated if it is a virtual method. In this case, invocation might
require a table lookup to obtain the proper function address (although
you might be able to obtain an address by casting a bound pointer to a
pointer to function as described in the C++ ARM section
18.3.4).
</P><P> If you do decide to change the underlying action code, be aware that
SWIG always places the
<TT>this
</TT> pointer in
<TT>arg1
</TT>. Other
arguments are placed in
<TT>arg2
</TT>,
<TT>arg3
</TT>, and so forth. For
%feature(
"action
") Foo::bar {
result = arg1-
>bar(arg2, arg3, etc.);
<P> Given the potential to shoot yourself in the foot, it is probably
easier to reconsider your design or to provide an alternative interface
using a helper function than it is to create a fully general wrapper to
a varargs C++ member function.
</P><H2><A name=
"Varargs_nn10"></A>13.9 Discussion
</H2>
<P> This chapter has provided a number of techniques that can be used to
address the problem of variable length argument wrapping. If you care
about portability and ease of use, the
<TT>%varargs
</TT> directive is
probably the easiest way to tackle the problem. However, using
typemaps, it is possible to do some very advanced kinds of wrapping.
</P><P> One point of discussion concerns the structure of the libffi
examples in the previous section. Looking at that code, it is not at
all clear that this is the easiest way to solve the problem. However,
there are a number of subtle aspects of the solution to
consider--mostly concerning the way in which the problem has been
decomposed. First, the example is structured in a way that tries to
maintain separation between wrapper-specific information and the
declaration of the function itself. The idea here is that you might
structure your interface like this:
</P>%typemap(const char *fmt, ...) {
%feature(
"action
") traceprintf {
/* Include some header file with traceprintf in it */
%include
"someheader.h
"<P> Second, careful scrutiny will reveal that the typemaps involving
<TT>
(...)
</TT> have nothing whatsoever to do with the libffi library. In
fact, they are generic with respect to the way in which the function is
actually called. This decoupling means that it will be much easier to
consider other library alternatives for making the function call. For
instance, if libffi wasn't supported on a certain platform, you might
be able to use something else instead. You could use conditional
compilation to control this:
</P>%feature(
"action
") printf {
%feature(
"action
") printf {
<P> Finally, even though you might be inclined to just write a
hand-written wrapper for varargs functions, the techniques used in the
previous section have the advantage of being compatible with all other
features of SWIG such as exception handling.
</P><P> As a final word, some C programmers seem to have the assumption that
the wrapping of variable length argument functions is an easily solved
problem. However, this section has hopefully dispelled some of these
myths. All things being equal, you are better off avoiding variable
length arguments if you can. If you can't avoid them, please consider
some of the simple solutions first. If you can't live with a simple
solution, proceed with caution. At the very least, make sure you
carefully read the section
"A7.3
.2 Function Calls
" in Kernighan and
Ritchie and make sure you fully understand the parameter passing
conventions used for varargs. Also, be aware of the platform
dependencies and reliability issues that this will introduce. Good
<H1><A name=
"Warnings"></A>14 Warning Messages
</H1>
<LI><A href=
"#Warnings_nn2">Introduction
</A></LI>
<LI><A href=
"#Warnings_nn3">Warning message suppression
</A></LI>
<LI><A href=
"#Warnings_nn4">Enabling additional warnings
</A></LI>
<LI><A href=
"#Warnings_nn5">Issuing a warning message
</A></LI>
<LI><A href=
"#Warnings_nn6">Commentary
</A></LI>
<LI><A href=
"#Warnings_nn7">Warnings as errors
</A></LI>
<LI><A href=
"#Warnings_nn8">Message output format
</A></LI>
<LI><A href=
"#Warnings_nn9">Warning number reference
</A>
<LI><A href=
"#Warnings_nn10">Deprecated features (
100-
199)
</A></LI>
<LI><A href=
"#Warnings_nn11">Preprocessor (
200-
299)
</A></LI>
<LI><A href=
"#Warnings_nn12">C/C++ Parser (
300-
399)
</A></LI>
<LI><A href=
"#Warnings_nn13">Types and typemaps (
400-
499)
</A></LI>
<LI><A href=
"#Warnings_nn14">Code generation (
500-
599)
</A></LI>
<LI><A href=
"#Warnings_nn15">Language module specific (
800-
899)
</A></LI>
<LI><A href=
"#Warnings_nn16">User defined (
900-
999)
</A></LI>
<LI><A href=
"#Warnings_nn17">History
</A></LI>
<H2><A name=
"Warnings_nn2"></A>14.1 Introduction
</H2>
<P> During compilation, SWIG may generate a variety of warning messages.
example.i:
16: Warning(
501): Overloaded declaration ignored. bar(double)
example.i:
15: Warning(
501): Previous declaration is bar(int)
<P> Typically, warning messages indicate non-fatal problems with the
input where the generated wrapper code will probably compile, but it
may not work like you expect.
</P><H2><A name=
"Warnings_nn3"></A>14.2 Warning message suppression
</H2>
<P> All warning messages have a numeric code that is shown in the
warning message itself. To suppress the printing of a warning message,
a number of techniques can be used. First, you can run SWIG with the
<TT>-w
</TT> command line option. For example:
</P>% swig -python -w501 example.i
% swig -python -w501,
505,
401 example.i
<P> Alternatively, warnings can be suppressed by inserting a special
preprocessor pragma into the input file:
</P>#pragma SWIG nowarn=
501,
505,
401<P> Finally, code-generation warnings can be disabled on a declaration
by declaration basis using the
<TT>%warnfilter
</TT> directive. For
int foo(double); // Silently ignored.
<P> The
<TT>%warnfilter
</TT> directive has the same semantics as other
declaration modifiers like
<TT>%rename
</TT>,
<TT>%ignore
</TT>, and
<TT>%feature
</TT>. For example, if you wanted to suppress a warning for a
method in a class hierarchy, you could do this:
</P>%warnfilter(
501) Object::foo;
int foo(double); // Silently ignored
class Derived : public Object {
int foo(double); // Silently ignored
<P> Warnings can be suppressed for an entire class by supplying a class
... // All
501 warnings ignored in class
<P> There is no option to suppress all SWIG warning messages. The
warning messages are there for a reason---to tell you that something
may be
<EM> broken
</EM> in your interface. Ignore the warning messages
<H2><A name=
"Warnings_nn4"></A>14.3 Enabling additional warnings
</H2>
<P> Some warning messages are disabled by default and are generated only
to provide additional diagnostics. All warning messages can be enabled
using the
<TT>-Wall
</TT> option. For example:
</P>% swig -Wall -python example.i
<P> When
<TT>-Wall
</TT> is used, all other warning filters are disabled.
</P>
<P> To selectively turn on extra warning messages, you can use the
directives and options in the previous section--simply add a
"+
" to all
warning numbers. For example:
</P>% swig -w+
309,+
452 example.i
#pragma SWIG nowarn=+
309,+
452%warnfilter(+
309,+
452) foo;
<P> Note: selective enabling of warnings with
<TT>%warnfilter
</TT>
overrides any global settings you might have made using
<TT>-w
</TT> or
<TT><H2><A name=
"Warnings_nn5"></A>14.4 Issuing a warning message
</H2>
<P> Warning messages can be issued from an interface file using a number
of directives. The
<TT>%warn
</TT> directive is the most simple:
</P>%warn
"750:This is your last warning!
"<P> All warning messages are optionally prefixed by the warning number
to use. If you are generating your own warnings, make sure you don't
use numbers defined in the table at the end of this section.
</P><P> The
<TT>%ignorewarn
</TT> directive is the same as
<TT>%ignore
</TT>
except that it issues a warning message whenever a matching declaration
is found. For example:
</P>%ignorewarn(
"362:operator= ignored
") operator=;
<P> Warning messages can be associated with typemaps using the
<TT>
warning
</TT> attribute of a typemap declaration. For example:
</P>%typemap(in, warning=
"751:You are really going to regret this
") blah * {
<P> In this case, the warning message will be printed whenever the
typemap is actually used.
</P><H2><A name=
"Warnings_nn6"></A>14.5 Commentary
</H2>
<P> The ability to suppress warning messages is really only provided for
advanced users and is not recommended in normal use. There are no plans
to provide symbolic names or options that identify specific types or
groups of warning messages---the numbers must be used explicitly.
</P><P> Certain types of SWIG problems are errors. These usually arise due
to parsing errors (bad syntax) or semantic problems for which there is
no obvious recovery. There is no mechanism for suppressing error
<H2><A name=
"Warnings_nn7"></A>14.6 Warnings as errors
</H2>
<P> Warnings can be handled as errors by using the
<TT>-Werror
</TT>
command line option. This will cause SWIG to exit with a non successful
exit code if a warning is encountered.
</P><H2><A name=
"Warnings_nn8"></A>14.7 Message output format
</H2>
<P> The output format for both warnings and errors can be selected for
integration with your favourite IDE/editor. Editors and IDEs can
usually parse error messages and if in the appropriate format will
easily take you directly to the source of the error. The standard
format is used by default except on Windows where the Microsoft format
is used by default. These can be overridden using command line options,
$ swig -python -Fstandard example.i
example.i:
4: Syntax error in input.
$ swig -python -Fmicrosoft example.i
example.i(
4): Syntax error in input.
<H2><A name=
"Warnings_nn9"></A>14.8 Warning number reference
</H2>
<H3><A name=
"Warnings_nn10"></A>14.8.1 Deprecated features (
100-
199)
</H3>
<LI>101. Deprecated
<TT>%extern
</TT> directive.
</LI>
<LI>102. Deprecated
<TT>%val
</TT> directive.
</LI>
<LI>103. Deprecated
<TT>%out
</TT> directive.
</LI>
<LI>104. Deprecated
<TT>%disabledoc
</TT> directive.
</LI>
<LI>105. Deprecated
<TT>%enabledoc
</TT> directive.
</LI>
<LI>106. Deprecated
<TT>%doconly
</TT> directive.
</LI>
<LI>107. Deprecated
<TT>%style
</TT> directive.
</LI>
<LI>108. Deprecated
<TT>%localstyle
</TT> directive.
</LI>
<LI>109. Deprecated
<TT>%title
</TT> directive.
</LI>
<LI>110. Deprecated
<TT>%section
</TT> directive.
</LI>
<LI>111. Deprecated
<TT>%subsection
</TT> directive.
</LI>
<LI>112. Deprecated
<TT>%subsubsection
</TT> directive.
</LI>
<LI>113. Deprecated
<TT>%addmethods
</TT> directive.
</LI>
<LI>114. Deprecated
<TT>%readonly
</TT> directive.
</LI>
<LI>115. Deprecated
<TT>%readwrite
</TT> directive.
</LI>
<LI>116. Deprecated
<TT>%except
</TT> directive.
</LI>
<LI>117. Deprecated
<TT>%new
</TT> directive.
</LI>
<LI>118. Deprecated
<TT>%typemap(except)
</TT>.
</LI>
<LI>119. Deprecated
<TT>%typemap(ignore)
</TT>.
</LI>
<LI>120. Deprecated command line option (-c).
</LI>
<LI>121. Deprecated
<TT>%name
</TT> directive.
</LI>
<H3><A name=
"Warnings_nn11"></A>14.8.2 Preprocessor (
200-
299)
</H3>
<LI>201. Unable to find 'filename'.
</LI>
<LI>202. Could not evaluate 'expr'.
</LI>
<H3><A name=
"Warnings_nn12"></A>14.8.3 C/C++ Parser (
300-
399)
</H3>
<LI>301.
<TT>class
</TT> keyword used, but not in C++ mode.
</LI>
<LI>302. Identifier '
<EM>name
</EM>' redefined (ignored).
</LI>
<LI>303.
<TT>%extend
</TT> defined for an undeclared class '
<EM>name
</EM>
<LI>304. Unsupported constant value (ignored).
</LI>
<LI>305. Bad constant value (ignored).
</LI>
<LI>306. '
<EM>identifier
</EM>' is private in this context.
</LI>
<LI>307. Can't set default argument value (ignored)
</LI>
<LI>308. Namespace alias '
<EM>name
</EM>' not allowed here. Assuming '
<EM>
<LI>309. [private | protected] inheritance ignored.
</LI>
<LI>310. Template '
<EM>name
</EM>' was already wrapped as '
<EM>name
</EM>'
<LI>311. Template partial specialization not supported.
</LI>
<LI>312. Nested classes not currently supported (ignored).
</LI>
<LI>313. Unrecognized extern type
"<EM>name
</EM>" (ignored).
</LI>
<LI>314. '
<EM>identifier
</EM>' is a
<EM> lang
</EM> keyword.
</LI>
<LI>315. Nothing known about '
<EM>identifier
</EM>'.
</LI>
<LI>316. Repeated %module directive.
</LI>
<LI>317. Specialization of non-template '
<EM>name
</EM>'.
</LI>
<LI>318. Instantiation of template
<EM> name
</EM> is ambiguous. Using
<EM>
templ
</EM> at
<EM> file
</EM>:
<EM>line
</EM></LI><LI>319. No access specifier given for base class
<EM> name
</EM>
<LI>320. Explicit template instantiation ignored.
</LI>
<LI>321.
<EM> identifier
</EM> conflicts with a built-in name.
</LI>
<LI>322. Redundant redeclaration of '
<EM>name
</EM>'.
</LI>
<LI>350. operator new ignored.
</LI>
<LI>351. operator delete ignored.
</LI>
<LI>352. operator+ ignored.
</LI>
<LI>353. operator- ignored.
</LI>
<LI>354. operator* ignored.
</LI>
<LI>355. operator/ ignored.
</LI>
<LI>356. operator% ignored.
</LI>
<LI>357. operator^ ignored.
</LI>
<LI>358. operator
& ignored.
</LI>
<LI>359. operator| ignored.
</LI>
<LI>360. operator~ ignored.
</LI>
<LI>361. operator! ignored.
</LI>
<LI>362. operator= ignored.
</LI>
<LI>363. operator
< ignored.
</LI>
<LI>364. operator
> ignored.
</LI>
<LI>365. operator+= ignored.
</LI>
<LI>366. operator-= ignored.
</LI>
<LI>367. operator*= ignored.
</LI>
<LI>368. operator/= ignored.
</LI>
<LI>369. operator%= ignored.
</LI>
<LI>370. operator^= ignored.
</LI>
<LI>371. operator
&= ignored.
</LI>
<LI>372. operator|= ignored.
</LI>
<LI>373. operator
<< ignored.
</LI>
<LI>374. operator
>>ignored.
</LI>
<LI>375. operator
<<= ignored.
</LI>
<LI>376. operator
>>= ignored.
</LI>
<LI>377. operator== ignored.
</LI>
<LI>378. operator!= ignored.
</LI>
<LI>379. operator
<= ignored.
</LI>
<LI>380. operator
>= ignored.
</LI>
<LI>381. operator
&& ignored.
</LI>
<LI>382. operator|| ignored.
</LI>
<LI>383. operator++ ignored.
</LI>
<LI>384. operator-- ignored.
</LI>
<LI>385. operator, ignored.
</LI>
<LI>386. operator-
<* ignored.
</LI>
<LI>387. operator-
< ignored.
</LI>
<LI>388. operator() ignored.
</LI>
<LI>389. operator[] ignored.
</LI>
<LI>390. operator+ ignored (unary).
</LI>
<LI>391. operator- ignored (unary).
</LI>
<LI>392. operator* ignored (unary).
</LI>
<LI>393. operator
& ignored (unary).
</LI>
<LI>394. operator new[] ignored.
</LI>
<LI>395. operator delete[] ignored.
</LI>
<H3><A name=
"Warnings_nn13"></A>14.8.4 Types and typemaps (
400-
499)
</H3>
<LI>401. Nothing known about class 'name'. Ignored.
</LI>
<LI>402. Base class 'name' is incomplete.
</LI>
<LI>403. Class 'name' might be abstract.
</LI>
<LI>450. Deprecated typemap feature ($source/$target).
</LI>
<LI>451. Setting const char * variable may leak memory.
</LI>
<LI>453. Can't apply (pattern). No typemaps are defined.
</LI>
<LI>460. Unable to use type
<EM> type
</EM> as a function argument.
</LI>
<LI>461. Unable to use return type
<EM> type
</EM> in function
<EM> name
</EM>
<LI>462. Unable to set variable of type
<EM> type
</EM>.
</LI>
<LI>463. Unable to read variable of type
<EM> type
</EM>.
</LI>
<LI>464. Unsupported constant value.
</LI>
<LI>465. Unable to handle type
<EM> type
</EM>.
</LI>
<LI>466. Unsupported variable type
<EM> type
</EM>.
</LI>
<LI>467. Overloaded
<EM> declaration
</EM> not supported (no type checking
rule for '
<EM>type
</EM>')
</LI><LI>468. No 'throw' typemap defined for exception type
<EM> type
</EM></LI>
<LI>469. No or improper directorin typemap defined for
<EM> type
</EM></LI>
<LI>470. Thread/reentrant unsafe wrapping, consider returning by value
<LI>471. Unable to use return type
<EM> type
</EM> in director method
</LI>
<H3><A name=
"Warnings_nn14"></A>14.8.5 Code generation (
500-
599)
</H3>
<LI>501. Overloaded declaration ignored.
<EM> decl
</EM></LI>
<LI>502. Overloaded constructor ignored.
<EM> decl
</EM></LI>
<LI>503. Can't wrap '
<EM>identifier
</EM>' unless renamed to a valid
<LI>504. Function
<EM> name
</EM> must have a return type.
</LI>
<LI>505. Variable length arguments discarded.
</LI>
<LI>506. Can't wrap varargs with keyword arguments enabled.
</LI>
<LI>507. Adding native function
<EM> name
</EM> not supported (ignored).
</LI>
<LI>508. Declaration of '
<EM>name
</EM>' shadows declaration accessible
via operator-
>() at
<EM> file:line
</EM>.
</LI><LI>509. Overloaded
<EM> declaration
</EM> is shadowed by
<EM> declaration
</EM>
at
<EM> file
</EM>:
<EM>line
</EM>.
</LI><LI>510. Friend function '
<EM>name
</EM>' ignored.
</LI>
<LI>511. Can't use keyword arguments with overloaded functions.
</LI>
<LI>512. Overloaded
<EM> declaration
</EM> const ignored. Non-const method
at
<EM> file
</EM>:
<EM>line
</EM> used.
</LI><LI>513. Can't generate wrappers for unnamed struct/class.
</LI>
<LI>516. Overloaded method
<EM> declaration
</EM> ignored. Method
<EM>
declaration
</EM> at
<EM> file
</EM>:
<EM>line
</EM> used.
</LI><H3><A name=
"Warnings_nn15"></A>14.8.6 Language module specific
<LI>801. Wrong name (corrected to '
<EM>name
</EM>'). (Ruby).
</LI>
<LI>810. No jni typemap defined for
<EM> type
</EM> (Java).
</LI>
<LI>811. No jtype typemap defined for
<EM> type
</EM> (Java).
</LI>
<LI>812. No jstype typemap defined for
<EM> type
</EM> (Java).
</LI>
<LI>813. Warning for
<EM> classname
</EM>: Base
<EM> baseclass
</EM>
ignored. Multiple inheritance is not supported in Java. (Java).
</LI><LI>815. No javafinalize typemap defined for
<EM> type
</EM> (Java).
</LI>
<LI>816. No javabody typemap defined for
<EM> type
</EM> (Java).
</LI>
<LI>817. No javaout typemap defined for
<EM> type
</EM> (Java).
</LI>
<LI>818. No javain typemap defined for
<EM> type
</EM> (Java).
</LI>
<LI>819. No javadirectorin typemap defined for
<EM> type
</EM> (Java).
</LI>
<LI>820. No javadirectorout typemap defined for
<EM> type
</EM> (Java).
</LI>
<LI>822. Covariant return types not supported in Java. Proxy method will
return
<EM> basetype
</EM> (Java).
</LI><LI>823. No javaconstruct typemap defined for
<EM> type
</EM> (Java).
</LI>
<LI>824. Missing JNI descriptor in directorin typemap defined for
<EM>
<LI>830. No ctype typemap defined for
<EM> type
</EM> (C#).
</LI>
<LI>831. No cstype typemap defined for
<EM> type
</EM> (C#).
</LI>
<LI>832. No cswtype typemap defined for
<EM> type
</EM> (C#).
</LI>
<LI>833. Warning for
<EM> classname
</EM>: Base
<EM> baseclass
</EM>
ignored. Multiple inheritance is not supported in C#. (C#).
</LI><LI>835. No csfinalize typemap defined for
<EM> type
</EM> (C#).
</LI>
<LI>836. No csbody typemap defined for
<EM> type
</EM> (C#).
</LI>
<LI>837. No csout typemap defined for
<EM> type
</EM> (C#).
</LI>
<LI>838. No csin typemap defined for
<EM> type
</EM> (C#).
</LI>
<LI>842. Covariant return types not supported in C#. Proxy method will
return
<EM> basetype
</EM> (C#).
</LI><LI>843. No csconstruct typemap defined for
<EM> type
</EM> (C#).
</LI>
<LI>844. C# exception may not be thrown - no $excode or excode attribute
in
<EM> typemap
</EM> typemap. (C#).
</LI><LI>845. Unmanaged code contains a call to a
SWIG_CSharpSetPendingException method and C# code does not handle
pending exceptions via the canthrow attribute. (C#).
</LI><LI>870. Warning for
<EM> classname
</EM>: Base
<EM> baseclass
</EM>
ignored. Multiple inheritance is not supported in Php4. (Php4).
</LI><H3><A name=
"Warnings_nn16"></A>14.8.7 User defined (
900-
999)
</H3>
<P> These numbers can be used by your own application.
</P>
<H2><A name=
"Warnings_nn17"></A>14.9 History
</H2>
<P> The ability to control warning messages was first added to
<H1><A name=
"Modules"></A>15 Working with Modules
</H1>
<LI><A href=
"#Modules_nn2">The SWIG runtime code
</A></LI>
<LI><A href=
"#external_run_time">External access to the runtime
</A></LI>
<LI><A href=
"#Modules_nn4">A word of caution about static libraries
</A></LI>
<LI><A href=
"#Modules_nn5">References
</A></LI>
<LI><A href=
"#Modules_nn6">Reducing the wrapper file size
</A></LI>
<P> When first working with SWIG, users commonly start by creating a
single module. That is, you might define a single SWIG interface that
wraps some set of C/C++ code. You then compile all of the generated
wrapper code into a module and use it. For large applications, however,
this approach is problematic---the size of the generated wrapper code
can be rather large. Moreover, it is probably easier to manage the
target language interface when it is broken up into smaller pieces.
</P><P> This chapter describes the problem of using SWIG in programs where
you want to create a collection of modules.
</P><H2><A name=
"Modules_nn2"></A>15.1 The SWIG runtime code
</H2>
<P> Many of SWIG's target languages generate a set of functions commonly
known as the
"SWIG runtime.
" These functions are primarily related to
the runtime type system which checks pointer types and performs other
tasks such as proper casting of pointer values in C++. As a general
rule, the statically typed target languages, such as Java, use the
language's built in static type checking and have no need for a SWIG
runtime. All the dynamically typed / interpreted languages rely on the
<P> The runtime functions are private to each SWIG-generated module.
That is, the runtime functions are declared with
"static
" linkage and
are visible only to the wrapper functions defined in that module. The
only problem with this approach is that when more than one SWIG module
is used in the same application, those modules often need to share type
information. This is especially true for C++ programs where SWIG must
collect and share information about inheritance relationships that
cross module boundaries.
</P><P> To solve the problem of sharing information across modules, a
pointer to the type information is stored in a global variable in the
target language namespace. During module initialization, type
information is loaded into the global data structure of type
information from all modules.
</P><P> This can present a problem with threads. If two modules try and load
at the same time, the type information can become corrupt. SWIG
currently does not provide any locking, and if you use threads, you
must make sure that modules are loaded serially. Be careful if you use
threads and the automatic module loading that some scripting languages
provide. One solution is to load all modules before spawning any
<H2><A name=
"external_run_time"></A>15.2 External access to the runtime
</H2>
<P>As described in
<A href=
"#runtime_type_checker">The run-time type
checker
</A>, the functions
<TT>SWIG_TypeQuery
</TT>,
<TT>SWIG_NewPointerObj
</TT>, and others sometimes need to be called. Calling
these functions from a typemap is supported, since the typemap code is
embedded into the
<TT>_wrap.c
</TT> file, which has those declerations
available. If you need to call the SWIG run-time functions from another
C file, there is one header you need to include. To generate the header
that needs to be included, run the following command:
<DIV class=
"code">$ swig -python -external-runtime
<filename
><P>The filename argument is optional and if it is not passed, then the
default filename will be something like
<TT>swigpyrun.h
</TT>, depending
on the language. This header file should be treated like any of the
other _wrap.c output files, and should be regenerated when the _wrap
files are. After including this header, your code will be able to call
<TT>SWIG_TypeQuery
</TT>,
<TT>SWIG_NewPointerObj
</TT>,
<TT>SWIG_ConvertPtr
</TT> and others. The exact argument paramaters for these functions might
differ between language modules; please check the language module
chapters for more information.
</P><P>Inside this header the functions are declared static and are included
inline into the file, and thus the file does not need to be linked
against any SWIG libraries or code (you might still need to link
against the language libraries like libpython-
2.3). Data is shared
between this file and the _wrap.c files through a global variable in
the scripting language. It is also possible to copy this header file
along with the generated wrapper files into your own package, so that
you can distribute a package that can be compiled without SWIG
installed (this works because the header file is self contained, and
does not need to link with anything).
</P><H2><A name=
"Modules_nn4"></A>15.3 A word of caution about static
<P> When working with multiple SWIG modules, you should take care not to
use static libraries. For example, if you have a static library
<TT>libfoo.a
</TT> and you link a collection of SWIG modules with that
library, each module will get its own private copy of the library code
inserted into it. This is very often
<B> NOT
</B> what you want and it
can lead to unexpected or bizarre program behavior. When working with
dynamically loadable modules, you should try to work exclusively with
<H2><A name=
"Modules_nn5"></A>15.4 References
</H2>
<P> Due to the complexity of working with shared libraries and multiple
modules, it might be a good idea to consult an outside reference. John
Levine's
"Linkers and Loaders
" is highly recommended.
</P><H2><A name=
"Modules_nn6"></A>15.5 Reducing the wrapper file size
</H2>
<P> Using multiple modules with the
<TT>%import
</TT> directive is the
most common approach to modularising large projects. In this way a
number of different wrapper files can be generated, thereby avoiding
the generation of a single large wrapper file. There are a couple of
alternative solutions for reducing the size of a wrapper file through
the use of command line options and features.
</P><BR> This command line option will compact the size of the wrapper file
without changing the code generated into the wrapper file. It simply
removes blank lines and joins lines of code together. This is useful
for compilers that have a maximum file size that can be handled.
</P><BR> This command line option will remove the generation of superfluous
virtual method wrappers. Consider the following inheritance hierarchy:
</P><P> Normally wrappers are generated for both methods, whereas this
command line option will suppress the generation of a wrapper for
<TT>Derived::method
</TT>. Normal polymorphic behaviour remains as
<TT>Derived::method
</TT> will still be called should you have a
<TT>Derived
</TT> instance and call the wrapper for
<TT>Base::method
</TT>.
</P><P><B> %feature(
"compactdefaultargs
")
</B>
<BR> This feature can reduce the number of wrapper methods when wrapping
methods with default arguments. The section on
<A href=
"#SWIGPlus_default_args">default arguments
</A> discusses the feature and it's limitations.
</P><H1><A name=
"CSharp"></A>16 SWIG and C#
</H1>
<LI><A href=
"#csharp_introduction">Introduction
</A></LI>
<LI><A href=
"#csharp_differences_java">Differences to the Java module
</A>
<LI><A href=
"#csharp_exceptions">C# Exceptions
</A>
<LI><A href=
"#csharp_exception_example_check_typemap">C# exception
example using
"check
" typemap
</A></LI><LI><A href=
"#csharp_exception_example_percent_exception">C# exception
example using %exception
</A></LI><LI><A href=
"#csharp_exception_example_exception_specifications">C#
exception example using exception specifications
</A></LI><LI><A href=
"#csharp_custom_application_exception">Custom C#
ApplicationException example
</A></LI><H2><A name=
"csharp_introduction"></A>16.1 Introduction
</H2>
<P> The purpose of the C# module is to offer an automated way of
accessing existing C/C++ code from .NET languages. The wrapper code
implementation uses C# and the Platform Invoke (PInvoke) interface to
access natively compiled C/C++ code. The PInvoke interface has been
chosen over Microsoft's Managed C++ interface as it is portable to both
Microsoft Windows and non-Microsoft platforms. PInvoke is part of the
ECMA/ISO C# specification. It is also better suited for robust
production environments due to the Managed C++ flaw called the
<A href=
"http://msdn.microsoft.com/library/default.asp?url=/library/en-us/dv_vstechart/html/vcconMixedDLLLoadingProblem.asp">Mixed DLL Loading Problem
</A>. Swig C# works equally well on
non-Microsoft operating systems such as Linux, Solaris and Apple Mac
using
<A href=
"http://www.mono-project.com/">Mono
</A> and
<A href=
"http://www.dotgnu.org/pnet.html"><P> To get the most out of this chapter an understanding of interop is
required. The
<A href=
"http://msdn.microsoft.com">Microsoft Developer
Network (MSDN)
</A> has a good reference guide in a section titled
"Interop Marshaling
". Monodoc, available from the Mono project, has a
very useful section titled
<A href=
"http://www.mono-project.com/Interop_with_Native_Libraries">Interop with native libraries
</A>.
</P><H2><A name=
"csharp_differences_java"></A>16.2 Differences to the Java
<P> The C# module is very similar to the Java module, so until some more
complete documentation has been written, please use the
<A href=
"#Java">Java documentation
</A> as a guide to using SWIG with C#. The rest of
this section should be read in conjunction with the Java documentation
as it lists the main differences.
</P><P> Director support (virtual method callbacks into C#) has not yet been
implemented and is the main missing feature compared to Java. Less of
the STL is supported and there are also a few minor utility typemaps in
the various.i library which are missing.
</P><P> The most noteable differences to Java are the following:
</P>
<LI> When invoking SWIG use the
<TT>-csharp
</TT> command line option
instead of
<TT>-java
</TT>.
</LI><LI> The
<TT>-package
</TT> command line option does not exist.
</LI>
<LI> The
<TT>-namespace
<name
></TT> commandline option will generate all
code into the namespace specified by
<TT><name
></TT>.
</LI><LI> The
<TT>-dllimport
<name
></TT> commandline option specifies the
name of the DLL for the
<TT>DllImport
</TT> attribute for every PInvoke
method. If this commandline option is not given, the
<TT>DllImport
</TT> DLL name is the same as the module name. This option is useful for when
one wants to invoke SWIG multiple times on different modules, yet
compile all the resulting code into a single DLL.
</LI><LI> C/C++ variables are wrapped with C# properties and not JavaBean
style getters and setters.
</LI><LI> Global constants are generated into the module class. There is no
constants interface.
</LI><LI> There is no implementation for type unsafe enums - not deemed
<LI> The default enum wrapping approach is proper C# enums, not typesafe
<BR> Note that %csconst(
0) will be ignored when wrapping C/C++ enums
with proper C# enums. This is because C# enum items must be initialised
from a compile time constant. If an enum item has an initialiser and
the initialiser doesn't compile as C# code, then the %csconstvalue
directive must be used as %csconst(
0) will have no effect. If it was
used, it would generate an illegal runtime initialisation via a PInvoke
<LI> C# doesn't support the notion of throws clauses. Therefore there is
no 'throws' typemap attribute support for adding exception classes to a
throws clause. Likewise there is no need for an equivalent to
<TT>%javaexception
</TT>. In fact, throwing C# exceptions works quite
differently, see
<A href=
"#csharp_exceptions">C# Exceptions
></A> below.
</LI><P>Typemap equivalent names:
</P>
javainterfaces -
> csinterfaces and csinterfaces_derived
javaclassmodifiers -
> csclassmodifiers
javaimports -
> csimports
javafinalize -
> csfinalize
javadestruct -
> csdestruct
javadestruct_derived -
> csdestruct_derived
<P>Additional typemaps:
</P>
csvarin C# code property set typemap
csvarout C# code property get typemap
csattributes C# attributes for attaching to proxy classes/enums
<P>Feature equivalent names:
</P>
%javaconst -
> %csconst
%javaconstvalue -
> %csconstvalue
%javamethodmodifiers -
> %csmethodmodifiers
<P>Pragma equivalent names:
</P>
%pragma(java) -
> %pragma(csharp)
jniclassbase -
> imclassbase
jniclassclassmodifiers -
> imclassclassmodifiers
jniclasscode -
> imclasscode
jniclassimports -
> imclassimports
jniclassinterfaces -
> imclassinterfaces
<P>Special variable equivalent names:
</P>
$javaclassname -
> $csclassname
$javainput -
> $csinput
<P> The intermediary classname has
<TT>PINVOKE
</TT> appended after the
module name instead of
<TT>JNI
</TT>, for example
<TT>modulenamePINVOKE
</TT><P> Support for asymmetric type marshalling. The 'ctype', 'imtype' and
'cstype' typemaps support an optional
<TT>out
</TT> attribute which is
used for output types. If this typemap attribute is specified, then the
type specified in the attribute is used for output types and the type
specified in the typemap itself is used for the input type. If this
typemap attribute is not specified, then the type used for both input
and output is the type specified in the typemap. An example shows that
<TT>char *
</TT> could be marshalled in different ways,
</P>%typemap(imtype, out=
"IntPtr
") char *
"string
"<P> The output type is thus IntPtr and the input type is string. The
resulting intermediary C# code is:
</P>public static extern IntPtr function(string jarg1);
<P> Support for type attributes. The 'imtype' and 'cstype' typemaps can
have an optional
<TT>inattributes
</TT> and
<TT>outattributes
</TT> typemap attribute. There are C# attributes and typemap attributes,
don't get confused!! The C# attributes specified in these typemap
attributes are generated wherever the type is used in the C# wrappers.
These can be used to specify any C# attribute associated with a C/C++
type, but are more typically used for the C#
<TT>MarshalAs
</TT> attribute. For example:
</P> inattributes=
"[MarshalAs(UnmanagedType.LPStr)]
",
outattributes=
"[return: MarshalAs(UnmanagedType.LPStr)]
") const char *
"String
"void SetMsg(const char *msg) {}
<P> The intermediary class will then have the marshalling as specified
by everything in the 'imtype' typemap:
</P> [DllImport(
"example
", EntryPoint=
"CSharp_GetMsg
")]
[return: MarshalAs(UnmanagedType.LPStr)]
public static extern String GetMsg();
[DllImport(
"example
", EntryPoint=
"CSharp_SetMsg
")]
public static extern void SetMsg([MarshalAs(UnmanagedType.LPStr)]String jarg1);
<P> Note that the
<TT>DllImport
</TT> attribute is always generated,
irrespective of any additional attributes specified.
</P><P> These attributes are associated with the C/C++ parameter type or
return type, which is subtely different to the attribute features and
typemaps covered next. Note that all these different C# attributes can
be combined so that a method has more than one attribute.
</P><P> Support for attaching C# attributes to wrapped methods and
variables. This is done using the
<TT>%csattributes
</TT> feature, see
<Ahref=
"#features">%feature directives
</A>. Note that C# attributes are
attached to proxy classes and enums using the
<TT>csattributes
</TT> typemap. For example, imagine we have a custom attribute class,
<TT>ThreadSafeAttribute
</TT>, for labelling thread safety. The following
SWIG code shows how to attach this C# attribute to some methods and the
class declaration itself:
</P>%typemap(csattributes) AClass
"[ThreadSafe]
"%csattributes AClass::AClass(double d)
"[ThreadSafe(false)]
"%csattributes AClass::AMethod()
"[ThreadSafe(true)]
"<P> will generate a C# proxy class:
</P>
public class AClass : IDisposable {
public AClass(double a) ...
public void AMethod() ...
<P> If C# attributes need adding to the
<TT>set
</TT> or
<TT>get
</TT>
part of C# properties, when wrapping C/C++ variables, they can be added
using the 'csvarin' and 'csvarout' typemaps respectively.
</P><P> The
<TT>%csmethodmodifiers
</TT> feature can also be applied to
variables as well as methods. In addition to the default
<TT>public
</TT> modifier that SWIG generates when
<TT>%csmethodmodifiers
</TT> is not
specified, the feature will also replace the
<TT>virtual
</TT>/
<TT>new
</TT>/
<TT>override
</TT> modifiers that SWIG thinks is appropriate. This
feature is useful for some obscure cases where SWIG might get the
<TT>virtual
</TT>/
<TT>new
</TT>/
<TT>override
</TT> modifiers incorrect, for
example with multiple inheritance.
</P><P><B> <TT>$dllimport
</TT></B>
<BR> This is a C# only special variable that can be used in typemaps,
pragmas, features etc. The special variable will get translated into
the value specified by the
<TT>-dllimport
</TT> commandline option if
specified, otherwise it is equivalent to the
<B> $module
</B> special
<P> The directory
<TT>Examples/csharp
</TT> has a number of simple
examples. Visual Studio .NET
2003 solution and project files are
available for compiling with the Microsoft .NET C# compiler on Windows.
If your SWIG installation went well on a Unix environment and your C#
compiler was detected, you should be able to type
<TT>make
</TT> in each
example directory, then
<TT>ilrun runme.exe
</TT> (Portable.NET C#
compiler) or
<TT>mono runme.exe
</TT> (Mono C# compiler) to run the
examples. Windows users can also get the examples working using a
<A href=
"http://www.cygwin.com">Cygwin
</A> or
<A href=
"http://www.mingw.org">MinGW
</A> environment for
automatic configuration of the example makefiles. Any one of the three
C# compilers (Portable.NET, Mono or Microsoft) can be detected from
within a Cygwin or Mingw environment if installed in your path.
</P><H2><A name=
"csharp_exceptions"></A>16.3 C# Exceptions
</H2>
<P> It is possible to throw a C# Exception from C/C++ code. SWIG already
provides the framework for throwing C# exceptions if it is able to
detect that a C++ exception could be thrown. Automatically detecting
that a C++ exception could be thrown is only possible when a C++
exception specification is used, see
<A href=
"#SWIGPlus_exception_specifications">Exception specifications
</A>. The
<A href=
"#exception">Exception
handling with %exception
</A> section details the
<TT>%exception
</TT> feature. Customised code for handling exceptions with or without a C++
exception specification is possible and the details follow. However
anyone wishing to do this should be familiar with the contents of the
sections referred to above.
</P><P> Unfortunately a C# exception cannot simply be thrown from unmanaged
code for a variety of reasons. Most noteably being that throwing a C#
exception results in exceptions being thrown across the C PInvoke
interface and C does not understand exceptions. The design revolves
around a C# exception being constructed and stored as a pending
exception, to be thrown only when the unmanaged code has completed.
Implementing this is a tad involved and there are thus some unusual
typemap constructs. Some practical examples follow and they should be
read in conjunction with the rest of this section.
</P><P> First some details about the design that must be followed. Each
typemap or feature that generates
<B> unmanaged code
</B> supports an
attribute called
<TT>canthrow
</TT>. This is simply a flag which when
set indicates that the code in the typemap/feature has code which might
want to throw a C# exception. The code in the typemap/feature can then
raise a C# exception by calling one of the C functions,
<TT>SWIG_CSharpSetPendingException()
</TT> or
<TT>SWIG_CSharpSetPendingExceptionArgument()
</TT>. When called, the function
makes a callback into the managed world via a delegate. The callback
creates and stores an exception ready for throwing when the unmanaged
code has finished. The typemap/feature unmanaged code is then expected
to force an immediate return from the unmanaged wrapper function, so
that the pending managed exception can then be thrown. The support code
has been carefully designed to be efficient as well as thread-safe.
However to achieve the goal of efficiency requires some optional code
generation in the
<B> managed code
</B> typemaps. Code to check for
pending exceptions is generated if and only if the unmanaged code has
code to set a pending exception, that is if the
<TT>canthrow
</TT> attribute is set. The optional managed code is generated using the
<TT>excode
</TT> typemap attribute and
<TT>$excode
</TT> special variable in
the relevant managed code typemaps. Simply, if any relevant unmanaged
code has the
<TT>canthrow
</TT> attribute set, then any occurrences of
<TT>$excode
</TT> is replaced with the code in the
<TT>excode
</TT> attribute.
If the
<TT>canthrow
</TT> attribute is not set, then any occurrences of
<TT>$excode
</TT> are replaced with nothing.
</P><P> The prototypes for the
<TT>SWIG_CSharpSetPendingException()
</TT> and
<TT>SWIG_CSharpSetPendingExceptionArgument()
</TT> functions are
</P>
static void SWIG_CSharpSetPendingException(SWIG_CSharpExceptionCodes code,
static void SWIG_CSharpSetPendingExceptionArgument(SWIG_CSharpExceptionArgumentCodes code,
<P> The first parameter defines which .NET exceptions can be thrown:
</P>
SWIG_CSharpApplicationException,
SWIG_CSharpArithmeticException,
SWIG_CSharpDivideByZeroException,
SWIG_CSharpIndexOutOfRangeException,
SWIG_CSharpInvalidOperationException,
SWIG_CSharpNullReferenceException,
SWIG_CSharpOutOfMemoryException,
SWIG_CSharpOverflowException,
SWIG_CSharpSystemException
} SWIG_CSharpExceptionCodes;
SWIG_CSharpArgumentException,
SWIG_CSharpArgumentNullException,
SWIG_CSharpArgumentOutOfRangeException,
} SWIG_CSharpExceptionArgumentCodes;
<P> where, for example,
<TT>SWIG_CSharpApplicationException
</TT>
corresponds to the .NET exception,
<TT>ApplicationException
</TT>. The
<TT>msg
</TT> and
<TT>param_name
</TT> parameters contain the C# exception
message and parameter name associated with the exception.
</P><P> The
<TT>%exception
</TT> feature in C# has the
<TT>canthrow
</TT>
attribute set. The
<TT>%csnothrowexception
</TT> feature is like
<TT>%exception
</TT>, but it does not have the
<TT>canthrow
</TT> attribute
set so should only be used when a C# exception is not created.
</P><H3><A name=
"csharp_exception_example_check_typemap"></A>16.3.1 C#
exception example using
"check
" typemap
</H3><P> Lets say we have the following simple C++ method:
</P>
void positivesonly(int number);
<P> and we want to check that the input
<TT>number
</TT> is always
positive and if not throw a C#
<TT>ArgumentOutOfRangeException
</TT>.
The
"check
" typemap is designed for checking input parameters. Below
you will see the
<TT>canthrow
</TT> attribute is set because the code
contains a call to
<TT>SWIG_CSharpSetPendingExceptionArgument()
</TT>.
The full example follows:
</P>%typemap(check, canthrow=
1) int number %{
SWIG_CSharpSetPendingExceptionArgument(SWIG_CSharpArgumentOutOfRangeException,
"only positive numbers accepted
",
"number
");
// SWIGEXCODE is a macro used by many other csout typemaps
"\n if ($modulePINVOKE.SWIGPendingException.Pending)
"
"\n throw $modulePINVOKE.SWIGPendingException.Retrieve();
"
%typemap(csout, excode=SWIGEXCODE) void {
void positivesonly(int number) {
<P> When the following C# code is executed:
</P>
example.positivesonly(-
1);
<P> The exception is thrown:
</P>
Unhandled Exception: System.ArgumentOutOfRangeException: only positive numbers accepted
in
<0x00034> example:positivesonly (int)
in
<0x0000c> runme:Main ()
<P> Now let's analyse the generated code to gain a fuller understanding
of the typemaps. The generated unmanaged C++ code is:
</P>SWIGEXPORT void SWIGSTDCALL CSharp_positivesonly(int jarg1) {
SWIG_CSharpSetPendingExceptionArgument(SWIG_CSharpArgumentOutOfRangeException,
"only positive numbers accepted
",
"number
");
<P> This largely comes from the
"check
" typemap. The managed code in the
public static void positivesonly(int number) {
examplePINVOKE.positivesonly(number);
if (examplePINVOKE.SWIGPendingException.Pending)
throw examplePINVOKE.SWIGPendingException.Retrieve();
<P> This comes largely from the
"csout
" typemap.
</P>
<P> The
"csout
" typemap is the same as the default void
"csout
" typemap
so is not strictly necessary for the example. However, it is shown to
demonstrate what managed output code typemaps should contain, that is,
a
<TT>$excode
</TT> special variable and an
<TT>excode
</TT> attribute.
Also note that
<TT>$excode
</TT> is expanded into the code held in the
<TT>excode
</TT> attribute. The
<TT>$imcall
</TT> as always expands into
<TT>examplePINVOKE.positivesonly(number)
</TT>. The exception support code in
the intermediary class,
<TT>examplePINVOKE
</TT>, is not shown, but is
contained within the inner classes,
<TT>SWIGPendingException
</TT> and
<TT>SWIGExceptionHelper
</TT> and is always generated. These classes can be
seen in any of the generated wrappers. However, all that is required of
a user is as demonstrated in the
"csin
" typemap above. That is, is to
check
<TT>SWIGPendingException.Pending
</TT> and to throw the exception
returned by
<TT>SWIGPendingException.Retrieve()
</TT>.
</P><P> If the
"check
" typemap did not exist, then the following module
class would instead be generated:
</P> public static void positivesonly(int number) {
examplePINVOKE.positivesonly(number);
<P> Here we see the pending exception checking code is omitted. In fact,
the code above would be generated if the
<TT>canthrow
</TT> attribute
was not in the
"check
" typemap, such as:
</P>%typemap(check) int number %{
SWIG_CSharpSetPendingExceptionArgument(SWIG_CSharpArgumentOutOfRangeException,
"only positive numbers accepted
",
"number
");
<P> Note that if SWIG detects you have used
<TT>
SWIG_CSharpSetPendingException()
</TT> or
<TT>SWIG_CSharpSetPendingExceptionArgument()
</TT> without setting the
<TT>canthrow
</TT> attribute you will get a warning message similar to
</P>example.i:
21: Warning(
845): Unmanaged code contains a call to a SWIG_CSharpSetPendingException
method and C# code does not handle pending exceptions via the canthrow attribute.
<P> Actually it will issue this warning for any function beginning with
<TT>
SWIG_CSharpSetPendingException
</TT>.
</P><H3><A name=
"csharp_exception_example_percent_exception"></A>16.3.2 C#
exception example using %exception
</H3><P> Let's consider a similar, but more common example that throws a C++
exception from within a wrapped function. We can use
<TT>%exception
</TT> as mentioned in
<A href=
"#exception">Exception handling with %exception
</A>%exception negativesonly(int value) %{
} catch (std::out_of_range e) {
SWIG_CSharpSetPendingException(SWIG_CSharpApplicationException, e.what());
#include
<stdexcept
>void negativesonly(int value) {
throw std::out_of_range(
"number should be negative
");
<P> The generated unmanaged code this time catches the C++ exception and
converts it into a C#
<TT>ApplicationException
</TT>.
</P>SWIGEXPORT void SWIGSTDCALL CSharp_negativesonly(int jarg1) {
} catch (std::out_of_range e) {
SWIG_CSharpSetPendingException(SWIG_CSharpApplicationException, e.what());
<P> The managed code generated does check for the pending exception as
mentioned earlier as the C# version of
<TT>%exception
</TT> has the
<TT>canthrow
</TT> attribute set by default:
</P> public static void negativesonly(int value) {
examplePINVOKE.negativesonly(value);
if (examplePINVOKE.SWIGPendingException.Pending)
throw examplePINVOKE.SWIGPendingException.Retrieve();
<H3><A name=
"csharp_exception_example_exception_specifications"></A>
16.3.3 C# exception example using exception specifications
</H3>
<P> When C++ exception specifications are used, SWIG is able to detect
that the method might throw an exception. By default SWIG will
automatically generate code to catch the exception and convert it into
a managed
<TT>ApplicationException
</TT>, as defined by the default
"throws
" typemaps. The following example has a user supplied
"throws
"
typemap which is used whenever an exception specification contains a
<TT>std::out_of_range
</TT>, such as the
<TT>evensonly
</TT> method below.
</P>%typemap(throws, canthrow=
1) std::out_of_range {
SWIG_CSharpSetPendingExceptionArgument(SWIG_CSharpArgumentException, $
1.what(), NULL);
#include
<stdexcept
>void evensonly(int input) throw (std::out_of_range) {
throw std::out_of_range(
"number is not even
");
<P> Note that the type for the throws typemap is the type in the
exception specification. SWIG generates a try catch block with the
throws typemap code in the catch handler.
</P>SWIGEXPORT void SWIGSTDCALL CSharp_evensonly(int jarg1) {
catch(std::out_of_range
&_e) {
SWIG_CSharpSetPendingExceptionArgument(SWIG_CSharpArgumentException, (
&_e)-
>what(), NULL);
<P> Multiple catch handlers are generated should there be more than one
exception specifications declared.
</P><H3><A name=
"csharp_custom_application_exception"></A>16.3.4 Custom C#
ApplicationException example
</H3><P> This example involves a user defined exception. The conventional
.NET exception handling approach is to create a custom
<TT>ApplicationException
</TT> and throw it in your application. The goal in
this example is to convert the STL
<TT>std::out_of_range
</TT> exception
into one of these custom .NET exceptions.
</P><P> The default exception handling is quite easy to use as the
<TT>
SWIG_CSharpSetPendingException()
</TT> and
<TT>SWIG_CSharpSetPendingExceptionArgument()
</TT> methods are provided by
SWIG. However, for a custom C# exception, the boiler plate code that
supports these functions needs replicating. In essence this consists of
some C/C++ code and C# code. The C/C++ code can be generated into the
wrapper file using the
<TT>%insert(runtime)
</TT> directive and the C#
code can be generated into the intermediary class using the
<TT>imclasscode
</TT> pragma as follows:
</P> // Code to handle throwing of C# CustomApplicationException from C/C++ code.
// The equivalent delegate to the callback, CSharpExceptionCallback_t, is CustomExceptionDelegate
// and the equivalent customExceptionCallback instance is customDelegate
typedef void (SWIGSTDCALL* CSharpExceptionCallback_t)(const char *);
CSharpExceptionCallback_t customExceptionCallback = NULL;
extern
"C
" SWIGEXPORT
void SWIGSTDCALL CustomExceptionRegisterCallback(CSharpExceptionCallback_t customCallback) {
customExceptionCallback = customCallback;
// Note that SWIG detects any method calls named starting with
// SWIG_CSharpSetPendingException for warning
845 static void SWIG_CSharpSetPendingExceptionCustom(const char *msg) {
customExceptionCallback(msg);
%pragma(csharp) imclasscode=%{
class CustomExceptionHelper {
// C# delegate for the C/C++ customExceptionCallback
public delegate void CustomExceptionDelegate(string message);
static CustomExceptionDelegate customDelegate =
new CustomExceptionDelegate(SetPendingCustomException);
[DllImport(
"$dllimport
", EntryPoint=
"CustomExceptionRegisterCallback
")]
void CustomExceptionRegisterCallback(CustomExceptionDelegate customCallback);
static void SetPendingCustomException(string message) {
SWIGPendingException.Set(new CustomApplicationException(message));
static CustomExceptionHelper() {
CustomExceptionRegisterCallback(customDelegate);
static CustomExceptionHelper exceptionHelper = new CustomExceptionHelper();
<P> The method stored in the C# delegate instance,
<TT>customDelegate
</TT>
is what gets called by the C/C++ callback. However, the equivalent to
the C# delegate, that is the C/C++ callback, needs to be assigned
before any unmanaged code is executed. This is achieved by putting the
initialisation code in the intermediary class. Recall that the
intermediary class contains all the PInvoke methods, so the static
variables in the intermediary class will be initialised before any of
the PInvoke methods in this class are called. The
<TT>exceptionHelper
</TT> static variable ensures the C/C++ callback is initialised with the
value in
<TT>customDelegate
</TT> by calling the
<TT>CustomExceptionRegisterCallback
</TT> method in the
<TT>CustomExceptionHelper
</TT> static constructor. Once this has been done,
unmanaged code can make callbacks into the managed world as
<TT>customExceptionCallback
</TT> will be initialised with a valid
callback/delegate. Any calls to
<TT>SWIG_CSharpSetPendingExceptionCustom()
</TT> will make the callback to
create the pending exception in the same way that
<TT>SWIG_CSharpSetPendingException()
</TT> and
<TT>SWIG_CSharpSetPendingExceptionArgument()
</TT> does. In fact the method
has been similarly named so that SWIG can issue the warning about
missing
<TT>canthrow
</TT> attributes as discussed earlier. It is an
invaluable warning as it is easy to forget the
<TT>canthrow
</TT> attribute when writing typemaps/features.
</P><P> The
<TT>SWIGPendingException
</TT> helper class is not shown, but is
generated as an inner class into the intermediary class. It stores the
pending exception in Thread Local Storage so that the exception
handling mechanism is thread safe.
</P><P> The boiler plate code above must be used in addition to a
handcrafted
<TT>CustomApplicationException
</TT>:
</P>class CustomApplicationException : System.ApplicationException {
public CustomApplicationException(string message)
<P> and the SWIG interface code:
</P>
%typemap(throws, canthrow=
1) std::out_of_range {
SWIG_CSharpSetPendingExceptionCustom($
1.what());
void oddsonly(int input) throw (std::out_of_range) {
throw std::out_of_range(
"number is not odd
");
<P> The
"throws
" typemap now simply calls our new
<TT>
SWIG_CSharpSetPendingExceptionCustom()
</TT> function so that the
exception can be caught, as such:
</P>} catch (CustomApplicationException e) {
<!-- Hand-written HTML -->
<H1><A name=
"Chicken"></A>17 SWIG and Chicken
</H1>
<LI><A href=
"#Chicken_nn2">Preliminaries
</A>
<LI><A href=
"#Chicken_nn3">Running SWIG in C mode
</A></LI>
<LI><A href=
"#Chicken_nn4">Running SWIG in C++ mode
</A></LI>
<LI><A href=
"#Chicken_nn5">Code Generation
</A>
<LI><A href=
"#Chicken_nn6">Naming Conventions
</A></LI>
<LI><A href=
"#Chicken_nn7">Modules
</A></LI>
<LI><A href=
"#Chicken_nn8">Constants and Variables
</A></LI>
<LI><A href=
"#Chicken_nn9">Functions
</A></LI>
<LI><A href=
"#Chicken_nn10">Exceptions
</A></LI>
<LI><A href=
"#Chicken_nn11">TinyCLOS
</A></LI>
<LI><A href=
"#Chicken_nn12">Linkage
</A>
<LI><A href=
"#Chicken_nn13">Static binary or shared library linked at
<LI><A href=
"#Chicken_nn14">Building chicken extension libraries
</A></LI>
<LI><A href=
"#Chicken_nn15">Linking multiple SWIG modules with TinyCLOS
</A>
<LI><A href=
"#Chicken_nn16">Typemaps
</A></LI>
<LI><A href=
"#Chicken_nn17">Pointers
</A>
<LI><A href=
"#collection">Garbage collection
</A></LI>
<LI><A href=
"#Chicken_nn18">Unsupported features and known problems
</A></LI>
<P> This chapter describes SWIG's support of CHICKEN. CHICKEN is a
Scheme-to-C compiler supporting most of the language features as
defined in the
<I> Revised^
5 Report on Scheme
</I>. Its main attributes
<LI>generates portable C code
</LI>
<LI>includes a customizable interpreter
</LI>
<LI>links to C libraries with a simple Foreign Function Interface
</LI>
<LI>supports full tail-recursion and first-class continuations
</LI>
<P> When confronted with a large C library, CHICKEN users can use SWIG
to generate CHICKEN wrappers for the C library. However, the real
advantages of using SWIG with CHICKEN are its
<STRONG> support for C++
</STRONG> -- object-oriented code is difficult to wrap by hand in CHICKEN -- and
its
<STRONG> typed pointer representation
</STRONG>, essential for C and
C++ libraries involving structures or classes.
</P><H2><A name=
"Chicken_nn2"></A>17.1 Preliminaries
</H2>
<P> CHICKEN support was introduced to SWIG in version
1.3.18. SWIG
relies on some recent additions to CHICKEN, which are only present in
releases of CHICKEN with version number
<STRONG> greater than or equal
to
1.89</STRONG>. To use a chicken version between
1.40 and
1.89, see
the
<A href=
"#collection">Garbage collection
</A> section below.
</P><P> You may want to look at any of the examples in Examples/chicken/ or
Examples/GIFPlot/Chicken for the basic steps to run SWIG CHICKEN.
</P><H3><A name=
"Chicken_nn3"></A>17.1.1 Running SWIG in C mode
</H3>
<P> To run SWIG CHICKEN in C mode, use the -chicken option.
</P>
<PRE>% swig -chicken example.i
</PRE>
<P> To allow the wrapper to take advantage of future CHICKEN code
generation improvements, part of the wrapper is direct CHICKEN function
calls (
<TT>example_wrap.c
</TT>) and part is CHICKEN Scheme (
<TT>example.scm
</TT>). The basic Scheme code must be compiled to C using
your system's CHICKEN compiler or both files can be compiled directly
using the much simpler
<TT>csc
</TT>.
</P>% chicken example.scm -output-file oexample.c
<P> So for the C mode of SWIG CHICKEN,
<TT>example_wrap.c
</TT> and
<TT>
oexample.c
</TT> are the files that must be compiled to object files and
linked into your project.
</P><H3><A name=
"Chicken_nn4"></A>17.1.2 Running SWIG in C++ mode
</H3>
<P> To run SWIG CHICKEN in C++ mode, use the -chicken -c++ option.
</P>
<PRE>% swig -chicken -c++ example.i
</PRE>
<P> This will generate
<TT>example_wrap.cxx
</TT> and
<TT>example.scm
</TT>
. The basic Scheme code must be compiled to C using your system's
CHICKEN compiler or both files can be compiled directly using the much
simpler
<TT>csc
</TT>.
</P><PRE>% chicken example.scm -output-file oexample.c
</PRE>
<P> So for the C++ mode of SWIG CHICKEN,
<TT>example_wrap.cxx
</TT> and
<TT>
oexample.c
</TT> are the files that must be compiled to object files and
linked into your project.
</P><H2><A name=
"Chicken_nn5"></A>17.2 Code Generation
</H2>
<H3><A name=
"Chicken_nn6"></A>17.2.1 Naming Conventions
</H3>
<P> Given a C variable, function or constant declaration named
<TT>
Foo_Bar
</TT>, the declaration will be available in CHICKEN as an
identifier ending with
<TT>Foo-Bar
</TT>. That is, an underscore is
<P> You may control what the CHICKEN identifier will be by using the
<TT>
%rename
</TT> SWIG directive in the SWIG interface file.
</P><H3><A name=
"Chicken_nn7"></A>17.2.2 Modules
</H3>
<P> The name of the module must be declared one of two ways:
</P>
<LI>Placing
<TT>%module example
</TT> in the SWIG interface file.
</LI>
<LI>Using
<TT>-module example
</TT> on the SWIG command line.
</LI>
<P> The generated example.scm file then exports
<CODE>(declare (unit
modulename))
</CODE>. If you do not want SWIG to export the
<CODE>(declare (unit modulename))
</CODE>, pass the -nounit option to SWIG.
</P><P> CHICKEN will be able to access the module using the
<CODE>(declare
(uses
<I> modulename
</I>))
</CODE> CHICKEN Scheme form.
</P><H3><A name=
"Chicken_nn8"></A>17.2.3 Constants and Variables
</H3>
<P> Constants may be created using any of the four constructs in the
<LI><CODE>#define MYCONSTANT1 ...
</CODE></LI>
<LI><CODE>%constant int MYCONSTANT2 = ...
</CODE></LI>
<LI><CODE>const int MYCONSTANT3 = ...
</CODE></LI>
<LI><CODE>enum { MYCONSTANT4 = ... };
</CODE></LI>
<P> In all cases, the constants may be accessed from within CHICKEN
using the form
<TT>(MYCONSTANT1)
</TT>; that is, the constants may be
accessed using the read-only parameter form.
</P><P> Variables are accessed using the full parameter form. For example,
to set the C variable
"int my_variable;
", use the Scheme form
<TT>(my-variable
2345)
</TT>. To get the C variable, use
<TT>(my-variable)
</TT><H3><A name=
"Chicken_nn9"></A>17.2.4 Functions
</H3>
<P> C functions declared in the SWIG interface file will have
corresponding CHICKEN Scheme procedures. For example, the C function
"int sqrt(double x);
" will be available using the Scheme form
<TT>(sqrt
2345.0)
</TT>. A
<CODE>void
</CODE> return value will give
C_SCHEME_UNDEFINED as a result.
</P><P> A function may return more than one value by using the
<CODE>OUTPUT
</CODE>
specifier (see Lib/chicken/typemaps.i). They will be returned as
multiple values using
<CODE>(values)
</CODE> if there is more than one
result (that is, a non-void return value and at least one argout
parameter, or a void return value and at least two argout parameters).
The return values can then be accessed with
<CODE>(call-with-values)
</CODE><H3><A name=
"Chicken_nn10"></A>17.2.5 Exceptions
</H3>
<P>The SWIG chicken module has support for exceptions thrown from C or
C++ code to be caught in scheme. See
<A href=
"#exception">Exception
handling with %exception
</A> for more information about declaring
exceptions in the interface file.
</P><P>Chicken supports both the
<CODE>SWIG_exception(int code, const char
*msg)
</CODE> interface as well as a
<CODE>SWIG_ThrowException(C_word
val)
</CODE> function for throwing exceptions from inside the %exception
blocks.
<CODE>SWIG_exception
</CODE> will throw a list consisting of the
code (as an integer) and the message. Both of these will throw an
exception using
<CODE>(abort)
</CODE>, which can be handled by
<CODE>(handle-exceptions)
</CODE>. See
<A href=
"http://www.call-with-current-continuation.org/manual/Exceptions.html#Exceptions">Chicken manual on Exceptions
</A> and
<A href=
"http://srfi.schemers.org/srfi-12/srfi-12.html">SFRI-
12</A>. Since the exception values are thrown directly, if
<CODE>(condition-case)
</CODE> is used to catch an exception the exception will
come through in the
<CODE>val ()
</CODE> case.
</P><P>The following simple module
</P>
void test_throw(int i) throws (int) {
(print
"Correct!
")
(print
"Threw something else
" exvar))
<H2><A name=
"Chicken_nn11"></A>17.3 TinyCLOS
</H2>
<P> The author of TinyCLOS, Gregor Kiczales, describes TinyCLOS as:
"Tiny CLOS is a Scheme implementation of a `kernelized' CLOS, with a
metaobject protocol. The implementation is even simpler than the simple
CLOS found in `The Art of the Metaobject Protocol,' weighing in at
around
850 lines of code, including (some) comments and documentation.
"</P><P> Almost all good Scheme books describe how to use metaobjects and
generic procedures to implement an object-oriented Scheme system.
Please consult a Scheme book if you are unfamiliar with the concept.
</P><P> CHICKEN has a modified version of TinyCLOS, which SWIG CHICKEN uses
if the -proxy argument is given. If -proxy is passed, then the
generated example.scm file will contain TinyCLOS class definitions. A
class named Foo is declared as
<Foo
>, and each member variable is
allocated a slot. Member functions are exported as generic functions.
</P><P> Primitive symbols and functions (the interface that would be
presented if -proxy was not passed) are hidden and no longer
accessable. If the -unhideprimitive command line argument is passed to
SWIG, then the primitive symbols will be available, but each will be
prefixed by the string
"primitive:
"</P><P> The exported symbol names can be controlled with the -closprefix and
-useclassprefix arguments. If -useclassprefix is passed to SWIG, every
member function will be generated with the class name as a prefix. If
the -closprefix mymod: argument is passed to SWIG, then the exported
functions will be prefixed by the string
"mymod:
". If -useclassprefix
is passed, -closprefix is ignored.
</P><H2><A name=
"Chicken_nn12"></A>17.4 Linkage
</H2>
<P> Please refer to
<EM> CHICKEN - A practical and portable Scheme system
- User's manual
</EM> for detailed help on how to link object files to
create a CHICKEN Scheme program. Briefly, to link object files, be sure
to add
<TT>`chicken-config -extra-libs -libs`
</TT> or
<TT>`chicken-config -shared -extra-libs -libs`
</TT>to your linker options.
Use the
<TT>-shared
</TT> option if you want to create a dynamically
loadable module. You might also want to use the much simpler
<TT>csc
</TT><P>Each scheme file that is generated by SWIG contains
<CODE>(declare
(uses
<I> modname
</I>))
</CODE>. This means that to load the module from
scheme code, the code must include
<CODE>(declare (uses
<I> modname
</I><H3><A name=
"Chicken_nn13"></A>17.4.1 Static binary or shared library
linked at compile time
</H3><P>We can easily use csc to build a static binary.
</P>
$ swig -chicken example.i
$ csc -v example.scm example_impl.c example_wrap.c test_script.scm -o example
<P>Similar to the above, any number of
<TT>module.scm
</TT> files could
be compiled into a shared library, and then that shared library linked
when compiling the main application.
</P>$ swig -chicken example.i
$ csc -sv example.scm example_wrap.c example_impl.c -o example.so
<P>The
<TT>exmaple.so
</TT> file can then linked with
<TT>test_script.scm
</TT>
when it is compiled, in which case
<TT>test_script.scm
</TT> must have
<CODE>(declare (uses example))
</CODE>. Multiple SWIG modules could have been
linked into
<TT>example.so
</TT> and each one accessed with a
<CODE>(declare (uses ... ))
</CODE>.
</P>$ csc -v test_script.scm -lexample
<P>An alternative is that the test_script.scm can have the code
<CODE>
(load-library 'example
"example.so
")
</CODE>, in which case the test
script does not need to be linked with example.so. The test_script.scm
file can then be run with
<TT>csi
</TT>.
</P><H3><A name=
"Chicken_nn14"></A>17.4.2 Building chicken extension
<P>Building a shared library like in the above section only works if the
library is linked at compile time with a script containing
<CODE>(declare (uses ...))
</CODE> or is loaded explicitly with
<CODE>(load-library 'example
"example.so
")
</CODE>. It is not the format that
CHICKEN expects for extension libraries and eggs. The problem is the
<CODE>(declare (unit
<I> modname
</I>))
</CODE> inside the
<TT>modname.scm
</TT> file. There are two possible solutions to this.
</P><P>First, SWIG accepts a
<TT>-nounit
</TT> argument, in which case the
<CODE>
(declare (unit
<I> modname
</I>))
</CODE> is not generated. Then, the
<TT>modname.scm
</TT> and
<TT>modname_wrap.c
</TT> files
<B> must
</B> be
compiled into their own shared library.
</P>$ csc -sv modname.scm modname_wrap.c modname_impl.c -o modname.so
<P>This library can then be loaded by scheme code with the
<CODE>
(require 'modname)
</CODE> function. See
<A href=
"http://www.call-with-current-continuation.org/manual/Loading-extension-libraries.html"> Loading-extension-libraries
</A> in the eval unit inside the CHICKEN
manual for more information.
</P><P>Another alternative is to run SWIG normally and create a scheme file
that contains
<CODE>(declare (uses
<I> modname
</I>))
</CODE> and then
compile that file into the shared library as well. For example, inside
the
<TT>mod_load.scm
</TT> file,
</P><P>Which would then be compiled with
</P>
$ csc -sv mod_load.scm mod1.scm mod2.scm mod1_wrap.c mod2_wrap.c mod1_impl.c mod2_impl.c -o mod.so
<P>Then the extension library can be loaded with
<CODE>(require 'mod)
</CODE>
. As we can see here,
<TT>mod_load.scm
</TT> contains the code that gets
exectued when the module is loaded. All this code does is load both
mod1 and mod2. As we can see, this technique is more useful when you
want to combine a few SWIG modules into one chicken extension library,
especially if modules are related by
<CODE>%import
</CODE></P><P>In either method, the files that are compiled into the shared library
could also be packaged into an egg. The
<TT>mod1_wrap.c
</TT> and
<TT>mod2_wrap.c
</TT> files that are created by SWIG are stand alone and do
not need SWIG to be installed to be compiled. Thus the egg could be
distributed and used by anyone, even if SWIG is not installed.
</P><P>See the
<TT>Examples/chicken/egg
</TT> directory in the SWIG source
for an example that builds two eggs, one using the first method and one
using the second method.
</P><H3><A name=
"Chicken_nn15"></A>17.4.3 Linking multiple SWIG modules with
<P>Linking together multiple modules that share type information using
the
<CODE>%import
</CODE> directive while also using
<TT>-proxy
</TT> is
more complicated. For example, if
<TT>mod2.i
</TT> imports
<TT>mod1.i
</TT>, then the
<TT>mod2.scm
</TT> file contains references to symbols
declared in
<TT>mod1.scm
</TT>, and thus a
<CODE>(declare (uses
<I> mod1
</I>))
</CODE> or
<CODE>(require '
<I>mod1
</I>)
</CODE> must be exported to the
top of
<TT>mod2.scm
</TT>. By default, when SWIG encounters an
<CODE>%import
"modname.i
"</CODE> directive, it exports
<CODE>(declare (uses
<I> modname
</I>))
</CODE> into the scm file. This works fine unless mod1 was
compiled with the
<TT>-nounit
</TT> argument or was compiled into an
extension library with other modules under a different name.
</P><P>One option is to override the automatic generation of
<CODE>(declare
(uses mod1))
</CODE> by passing the
<TT>-noclosuses
</TT> option to SWIG
when compiling
<TT>mod2.i
</TT>. SWIG then provides the
<CODE>%insert(closprefix) %{ %}
</CODE> directive. Any scheme code inside that
directive is inserted into the generated .scm file, and if
<TT>mod1
</TT> was compiled with
<TT>-nounit
</TT>, the directive should contain
<CODE>(require 'mod1)
</CODE>. This option allows for mixed loading as well,
where some modules are imported with
<CODE>(declare (uses
<I> modname
</I>))
</CODE> (which means they were compiled without -nounit) and some are
imported with
<CODE>(require 'modname)
</CODE>.
</P><P>The other option is to use the second idea in the above section.
Compile all the modules normally, without any
<CODE>%insert(closprefix)
</CODE>,
<TT>-nounit
</TT>, or
<TT>-noclosuses
</TT>. Then the modules will
import each other correctly with
<CODE>(declare (uses ...))
</CODE>. To
create an extension library or an egg, just create a
<TT>module_load.scm
</TT> file that
<CODE>(declare (uses ...))
</CODE> all the
<H2><A name=
"Chicken_nn16"></A>17.5 Typemaps
</H2>
<P> The Chicken module handles all types via typemaps. This information
is read from
<CODE>Lib/chicken/typemaps.i
</CODE> and
<CODE>Lib/chicken/chicken.swg
</CODE>.
</P><H2><A name=
"Chicken_nn17"></A>17.6 Pointers
</H2>
<P> For pointer types, SWIG uses CHICKEN tagged pointers. A tagged
pointer is an ordinary CHICKEN pointer with an extra slot for a void *.
With SWIG CHICKEN, this void * is a pointer to a type-info structure.
So each pointer used as input or output from the SWIG-generated CHICKEN
wrappers will have type information attached to it. This will let the
wrappers correctly determine which method should be called according to
the object type hierarchy exposed in the SWIG interface files.
</P><P> To construct a Scheme object from a C pointer, the wrapper code
calls the function
<CODE>SWIG_NewPointerObj(void *ptr, swig_type_info
*type, int owner)
</CODE>, The function that calls
<CODE>SWIG_NewPointerObj
</CODE> must have a variable declared
<CODE>C_word
*known_space = C_alloc(C_SIZEOF_SWIG_POINTER);
</CODE> It is ok to call
<CODE>SWIG_NewPointerObj
</CODE> more than once, just make sure known_space has
enough space for all the created pointers.
</P><P> To get the pointer represented by a CHICKEN tagged pointer, the
wrapper code calls the function
<CODE>SWIG_ConvertPtr(C_word s, void
**result, swig_type_info *type, int flags)
</CODE>, passing a pointer to
a struct representing the expected pointer type. flags is either zero
or SWIG_POINTER_DISOWN (see below).
</P><H3><A name=
"collection"></A>17.6.1 Garbage collection
</H3>
<P>If the owner flag passed to
<CODE>SWIG_NewPointerObj
</CODE> is
1,
<CODE>
NewPointerObj
</CODE> will add a finalizer to the type which will call
the destructor or delete method of that type. The destructor and delete
functions are no longer exported for use in scheme code, instead SWIG
and chicken manage pointers. In situations where SWIG knows that a
function is returning a type that should be garbage collected, SWIG
will automaticly set the owner flag to
1. For other functions, the
<CODE>%newobject
</CODE> directive must be specified for functions whose return
values should be garbage collected. See
<A href=
"#ownership">Object
ownership and %newobject
</A> for more information.
</P><P>In situations where a C or C++ function will assume ownership of a
pointer, and thus chicken should no longer garbage collect it, SWIG
provides the
<CODE>DISOWN
</CODE> input typemap. After applying this
typemap (see the
<A href=
"Typemaps.html">Typemaps chapter
</A> for more
information on how to apply typemaps), any pointer that gets passed in
will no longer be garbage collected. An object is disowned by passing
the
<CODE>SWIG_POINTER_DISOWN
</CODE> flag to
<CODE>SWIG_ConvertPtr
</CODE>.
<B> Warning:
</B> Since the lifetime of the object is now controlled by
the underlying code, the object might get deleted while the scheme code
still holds a pointer to it. Further use of this pointer can lead to a
<P>Adding a finalizer function from C code was added to chicken in the
1.89 release, so garbage collection does not work for chicken versions
below
1.89. If you would like the SWIG generated code to work with
chicken
1.40 to
1.89, pass the
<CODE>-nocollection
</CODE> argument to
SWIG. This will not export code inside the _wrap.c file to register
finalizers, and will then export destructor functions which must be
<H2><A name=
"Chicken_nn18"></A>17.7 Unsupported features and known
<LI>No director support.
</LI>
<LI>No support for c++ standard types like std::vector.
</LI>
<LI>The TinyCLOS wrappers for overloaded functions will not work
correctly when using
<A href=
"#SWIGPlus_default_args">%feature(compactdefaultargs)
</A>.
</LI><P>TinyCLOS has a limitation such that generic methods do not properly
work on methods with different number of specializers: TinyCLOS assumes
that every method added to a generic function will have the same number
of specializers. SWIG generates functions with different lengths of
specializers when C/C++ functions are overloaded. For example, the code
</P><P>will produce scheme code
</P>
(define-method (foo (arg0
<top
>) (arg1
<Foo
>)) (
<I>call primitive function
</I>))
(define-method (foo (arg0
<top
>)) (
<I>call primitive function
</I>))
<P>Using unpatched TinyCLOS, the second
<CODE>(define-method)
</CODE>
will replace the first one, so calling
<CODE>(foo
3 f)
</CODE> will
<P>There are two solutions to this: the file
<TT>
Lib/chicken/tinyclos-multi-generic.patch
</TT> in the SWIG source
contains a patch against tinyclos.scm inside the chicken source to add
support into TinyCLOS for multi-argument generics. This requires
chicken to be rebuilt and custom install of chicken. An alternative is
the
<TT>Lib/chicken/multi-generic.scm
</TT> file in the SWIG source.
This file can be loaded after TinyCLOS is loaded, and it will override
some functions inside TinyCLOS to correctly support multi-argument
generics. This solution will work on any install of chicken. Please see
the comments at the top of both files for more information.
</P><!-- Hand-written HTML -->
<H1><A name=
"Guile"></A>18 SWIG and Guile
</H1>
<LI><A href=
"#Guile_nn2">Meaning of
"Module
"</A></LI>
<LI><A href=
"#Guile_nn3">Using the SCM or GH Guile API
</A></LI>
<LI><A href=
"#Guile_nn4">Linkage
</A>
<LI><A href=
"#Guile_nn5">Simple Linkage
</A></LI>
<LI><A href=
"#Guile_nn6">Passive Linkage
</A></LI>
<LI><A href=
"#Guile_nn7">Native Guile Module Linkage
</A></LI>
<LI><A href=
"#Guile_nn8">Old Auto-Loading Guile Module Linkage
</A></LI>
<LI><A href=
"#Guile_nn9">Hobbit4D Linkage
</A></LI>
<LI><A href=
"#Guile_nn10">Underscore Folding
</A></LI>
<LI><A href=
"#Guile_nn11">Typemaps
</A></LI>
<LI><A href=
"#Guile_nn12">Representation of pointers as smobs
</A>
<LI><A href=
"#Guile_nn13">GH Smobs
</A></LI>
<LI><A href=
"#Guile_nn14">SCM Smobs
</A></LI>
<LI><A href=
"#Guile_nn15">Garbage Collection
</A></LI>
<LI><A href=
"#Guile_nn16">Exception Handling
</A></LI>
<LI><A href=
"#Guile_nn17">Procedure documentation
</A></LI>
<LI><A href=
"#Guile_nn18">Procedures with setters
</A></LI>
<LI><A href=
"#Guile_nn19">GOOPS Proxy Classes
</A>
<LI><A href=
"#Guile_nn20">Naming Issues
</A></LI>
<LI><A href=
"#Guile_nn21">Linking
</A></LI>
<P> This section details guile-specific support in SWIG.
</P>
<H2><A name=
"Guile_nn2"></A>18.1 Meaning of
"Module
"</H2>
<P> There are three different concepts of
"module
" involved, defined
separately for SWIG, Guile, and Libtool. To avoid horrible confusion,
we explicitly prefix the context, e.g.,
"guile-module
".
</P><H2><A name=
"Guile_nn3"></A>18.2 Using the SCM or GH Guile API
</H2>
<P>The guile module can currently export wrapper files that use the
guile GH interface or the SCM interface. This is controlled by an
argument passed to swig. The
"-gh
" argument causes swig to output GH
code, and the
"-scm
" argument causes swig to output SCM code. Right now
the
"-scm
" argument is the default. The
"-scm
" wrapper generation
assumes a guile version
>=
1.6 and has several advantages over the
"-gh
" wrapper generation including garbage collection and GOOPS
support. The
"-gh
" wrapper generation can be used for older versions of
guile. The guile GH wrapper code generation is depreciated and the SCM
interface is the default. The SCM and GH interface differ greatly in
how they store pointers and have completely different run-time code.
See below for more info.
</P><P>The GH interface to guile is deprecated. Read more about why in the
<A
href=
"http://www.gnu.org/software/guile/docs/guile-ref/GH-deprecation.html">
Guile manual
</A>. The idea of the GH interface was to provide a high
level API that other languages and projects could adopt. This was a
good idea, but didn't pan out well for general development. But for the
specific, minimal uses that the SWIG typemaps put the GH interface to
use is ideal for using a high level API. So even though the GH
interface is depreciated, SWIG will continue to use the GH interface
and provide mappings from the GH interface to whatever API we need. We
can maintain this mapping where guile failed because SWIG uses a small
subset of all the GH functions which map easily. All the guile typemaps
like typemaps.i and std_vector.i will continue to use the GH functions
to do things like create lists of values, convert strings to integers,
etc. Then every language module will define a mapping between the GH
interface and whatever custom API the language uses. This is currently
implemented by the guile module to use the SCM guile API rather than
the GH guile API. For example, here are some of the current mapping
#define gh_append2(a, b) scm_append(scm_listify(a, b, SCM_UNDEFINED))
#define gh_apply(a, b) scm_apply(a, b, SCM_EOL)
#define gh_bool2scm SCM_BOOL
#define gh_boolean_p SCM_BOOLP
#define gh_double2scm scm_make_real
<P>This file is parsed by SWIG at wrapper generation time, so every
reference to a gh_ function is replaced by a scm_ function in the
wrapper file. Thus the gh_ function calls will never be seen in the
wrapper; the wrapper will look exactly like it was generated for the
specific API. Currently only the guile language module has created a
mapping policy from gh_ to scm_, but there is no reason other languages
(like mzscheme or chicken) couldn't also use this. If that happens,
there is A LOT less code duplication in the standard typemaps.
</P><H2><A name=
"Guile_nn4"></A>18.3 Linkage
</H2>
<P> Guile support is complicated by a lack of user community
cohesiveness, which manifests in multiple shared-library usage
conventions. A set of policies implementing a usage convention is
called a
<B> linkage
</B>.
</P><H3><A name=
"Guile_nn5"></A>18.3.1 Simple Linkage
</H3>
<P> The default linkage is the simplest; nothing special is done. In
this case the function
<CODE>SWIG_init()
</CODE> is exported. Simple
linkage can be used in several ways:
</P><LI><B>Embedded Guile, no modules.
</B> You want to embed a Guile
interpreter into your program; all bindings made by SWIG shall show up
in the root module. Then call
<CODE>SWIG_init()
</CODE> in the
<CODE>inner_main()
</CODE> function. See the
"simple
" and
"matrix
" examples
under
<CODE>Examples/guile
</CODE>.
</LI><P><B>Dynamic module mix-in.
</B> You want to create a Guile module using
<CODE>define-module
</CODE>, containing both Scheme code and bindings
made by SWIG; you want to load the SWIG modules as shared libraries
(define-module (my module))
(define my-so (dynamic-link
"./example.so
"))
(dynamic-call
"SWIG_init
" my-so) ; make SWIG bindings
;; Scheme definitions can go here
<P> Newer Guile versions provide a shorthand for
<CODE>dynamic-link
</CODE>
and
<CODE>dynamic-call
</CODE>:
</P>(load-extension
"./example.so
" "SWIG_init
")
<P> You need to explicitly export those bindings made by SWIG that you
want to import into other modules:
</P><P> In this example, the procedures
<CODE>foo
</CODE> and
<CODE>bar
</CODE>
would be exported. Alternatively, you can export all bindings with the
following module-system hack:
</P>(module-map (lambda (sym var)
(module-export! (current-module) (list sym)))
<P>SWIG can also generate this Scheme stub (from
<CODE>define-module
</CODE>
up to
<CODE>export
</CODE>) semi-automagically if you pass it the
command-line argument
<CODE>-scmstub
</CODE>. The code will be exported
in a file called
<CODE><I>module
</I>.scm
</CODE> in the directory
specified by
<CODE>-outdir
</CODE> or the current directory if
<CODE>-outdir
</CODE> is not specified. Since SWIG doesn't know how to load
your extension module (with
<CODE>dynamic-link
</CODE> or
<CODE>load-extension
</CODE>), you need to supply this information by including
a directive like this in the interface file:
</P>%scheme %{ (load-extension
"./example.so
" "SWIG_init
") %}
<P> (The
<CODE>%scheme
</CODE> directive allows to insert arbitrary
Scheme code into the generated file
<CODE><VAR>module.scm
</VAR></CODE>;
it is placed between the
<CODE>define-module
</CODE> form and the
<CODE><P>If you want to include several SWIG modules, you would need to rename
<CODE>SWIG_init
</CODE> via a preprocessor define to avoid symbol
clashes. For this case, however, passive linkage is available.
</P><H3><A name=
"Guile_nn6"></A>18.3.2 Passive Linkage
</H3>
<P>Passive linkage is just like simple linkage, but it generates an
initialization function whose name is derived from the module and
package name (see below).
</P><P>You should use passive linkage rather than simple linkage when you
are using multiple modules.
</P><H3><A name=
"Guile_nn7"></A>18.3.3 Native Guile Module Linkage
</H3>
<P>SWIG can also generate wrapper code that does all the Guile module
declarations on its own if you pass it the
<CODE>-Linkage module
</CODE> command-line option. This requires Guile
1.5.0 or later.
</P><P>The module name is set with the
<CODE>-package
</CODE> and
<CODE>
-module
</CODE> command-line options. Suppose you want to define a module
with name
<CODE>(my lib foo)
</CODE>; then you would have to pass the
options
<CODE>-package
<VAR> my
</VAR>/
<VAR>lib
</VAR> -module
<VAR> foo
</VAR></CODE>. Note that the last part of the name can also be set via the
SWIG directive
<CODE>%module
</CODE>.
</P><P>You can use this linkage in several ways:
</P>
<LI><B>Embedded Guile with SWIG modules.
</B> You want to embed a Guile
interpreter into your program; the SWIG bindings shall be put into
different modules. Simply call the function
<CODE>scm_init_
<VAR>my
</VAR>_
<VAR>modules
</VAR>_
<VAR>foo
</VAR>_module
</CODE> in the
<CODE>inner_main()
</CODE> function.
</LI><LI><B>Dynamic Guile modules.
</B> You want to load the SWIG modules as
shared libraries into Guile; all bindings are automatically put in
newly created Guile modules.
<DIV class=
"targetlang">(define my-so (dynamic-link
"./foo.so
"))
;; create new module and put bindings there:
(dynamic-call
"scm_init_my_modules_foo_module
" my-so)
</DIV> Newer Guile versions have a shorthand procedure for this:
<DIV class=
"targetlang">
(load-extension
"./foo.so
" "scm_init_my_modules_foo_module
")
<H3><A name=
"Guile_nn8"></A>18.3.4 Old Auto-Loading Guile Module Linkage
</H3>
<P>Guile used to support an autoloading facility for object-code
modules. This support has been marked deprecated in version
1.4.1 and
is going to disappear sooner or later. SWIG still supports building
auto-loading modules if you pass it the
<CODE>-Linkage ltdlmod
</CODE><P>Auto-loading worked like this: Suppose a module with name
<CODE>(my
lib foo)
</CODE> is required and not loaded yet. Guile will then search
all directories in its search path for a Scheme file
<CODE>my/modules/foo.scm
</CODE> or a shared library
<CODE><VAR>my
</VAR>/
<VAR>modules
</VAR>/lib
<VAR>foo
</VAR>.so
</CODE> (or
<CODE><VAR>my
</VAR>/
<VAR>modules
</VAR>/lib
<VAR>foo
</VAR>.la
</CODE>; see the GNU libtool
documentation). If a shared library is found that contains the symbol
<CODE>scm_init_
<VAR>my
</VAR>_
<VAR>modules
</VAR>_
<VAR>foo
</VAR>_module
</CODE>,
the library is loaded, and the function at that symbol is called with
no arguments in order to initialize the module.
</P><P>When invoked with the
<CODE>-Linkage ltdlmod
</CODE> command-line
option, SWIG generates an exported module initialization function with
<H3><A name=
"Guile_nn9"></A>18.3.5 Hobbit4D Linkage
</H3>
<P> The only other linkage supported at this time creates shared object
libraries suitable for use by hobbit's
<CODE>(hobbit4d link)
</CODE> guile module. This is called the
"hobbit
" linkage, and requires also
using the
"-package
" command line option to set the part of the module
name before the last symbol. For example, both command lines:
</P>swig -guile -package my/lib foo.i
swig -guile -package my/lib -module foo foo.i
<P> would create module
<CODE>(my lib foo)
</CODE> (assuming in the first
case foo.i declares the module to be
"foo
"). The installed files are
my/lib/libfoo.so.X.Y.Z and friends. This scheme is still very
experimental; the (hobbit4d link) conventions are not well understood.
</P><H2><A name=
"Guile_nn10"></A>18.4 Underscore Folding
</H2>
<P> Underscores are converted to dashes in identifiers. Guile support
may grow an option to inhibit this folding in the future, but no one
has complained so far.
</P><P>You can use the SWIG directives
<CODE>%name
</CODE> and
<CODE>%rename
</CODE>
to specify the Guile name of the wrapped functions and variables (see
<H2><A name=
"Guile_nn11"></A>18.5 Typemaps
</H2>
<P> The Guile module handles all types via typemaps. This information is
read from
<CODE>Lib/guile/typemaps.i
</CODE>. Some non-standard typemap
substitutions are supported:
</P><LI><CODE>$descriptor
</CODE> expands to a type descriptor for use with
the
<CODE>SWIG_NewPointerObj()
</CODE> and
<CODE>SWIG_ConvertPtr
</CODE><LI>For pointer types,
<CODE>$*descriptor
</CODE> expands to a descriptor
for the direct base type (i.e., one pointer is stripped), whereas
<CODE>$basedescriptor
</CODE> expands to a descriptor for the base type (i.e.,
all pointers are stripped).
</LI><P>A function returning
<CODE>void
</CODE> (more precisely, a function
whose
<CODE>out
</CODE> typemap returns
<CODE>SCM_UNSPECIFIED
</CODE>) is
treated as returning no values. In
<CODE>argout
</CODE> typemaps, one
can use the macro
<CODE>GUILE_APPEND_RESULT
</CODE> in order to append a
value to the list of function return values.
</P><P>Multiple values can be passed up to Scheme in one of three ways:
</P>
<P><EM>Multiple values as lists.
</EM> By default, if more than one value
is to be returned, a list of the values is created and returned; to
switch back to this behavior, use
</P><P><EM>Multiple values as vectors.
</EM> By issuing
</P>
<P> vectors instead of lists will be used.
</P>
<P><EM>Multiple values for multiple-value continuations.
</EM><STRONG>
This is the most elegant way.
</STRONG> By issuing
</P><P> multiple values are passed to the multiple-value continuation, as
created by
<CODE>call-with-values
</CODE> or the convenience macro
<CODE>receive
</CODE>. The latter is available if you issue
<CODE>(use-modules
(srfi srfi-
8))
</CODE>. Assuming that your
<CODE>divide
</CODE> function
wants to return two values, a quotient and a remainder, you can write:
</P>(receive (quotient remainder)
<P> In
<CODE><VAR>body
</VAR></CODE>, the first result of
<CODE>divide
</CODE>
will be bound to the variable
<CODE>quotient
</CODE>, and the second
result to
<CODE>remainder
</CODE>.
</P><P> See also the
"multivalue
" example.
</P>
<H2><A name=
"Guile_nn12"></A>18.6 Representation of pointers as smobs
</H2>
<P> For pointer types, SWIG uses Guile smobs. SWIG smobs print like
this:
<CODE>#
<swig struct xyzzy *
0x1234affe></CODE> Two of them are
<CODE>equal?
</CODE> if and only if they have the same type and value.
</P><P> To construct a Scheme object from a C pointer, the wrapper code
calls the function
<CODE>SWIG_NewPointerObj()
</CODE>, passing a pointer
to a struct representing the pointer type. The type index to store in
the upper half of the CAR is read from this struct. To get the pointer
represented by a smob, the wrapper code calls the function
<CODE>SWIG_ConvertPtr()
</CODE>, passing a pointer to a struct representing the
expected pointer type. See also
<A href=
"#runtime_type_checker">The
run-time type checker
</A>. If the Scheme object passed was not a SWIG
smob representing a compatible pointer, a
<CODE>wrong-type-arg
</CODE><H3><A name=
"Guile_nn13"></A>18.6.1 GH Smobs
</H3>
<P> In earlier versions of SWIG, C pointers were represented as Scheme
strings containing a hexadecimal rendering of the pointer value and a
mangled type name. As Guile allows registering user types, so-called
"smobs
" (small objects), a much cleaner representation has been
implemented now. The details will be discussed in the following.
</P><P> A smob is a cons cell where the lower half of the CAR contains the
smob type tag, while the upper half of the CAR and the whole CDR are
available. Every module creates its own smob type in the clientdata
field of the module. So the lower
16 bits of the car of the smob store
the tag and the upper
16 bits store the index this type is in the
array. We can then, given a smob, find its swig_type_info struct by
using the tag (lower
16 bits of car) to find which module this type is
in (since each tag is unique for the module). Then we use the upper
16 bits to index into the array of types attached to this module. Looking
up the module from the tag is worst case O(# of modules) but average
case O(
1). This is because the modules are stored in a circularly
linked list, and when we start searching the modules for the tag, we
start looking with the module that the function doing the lookup is in.
SWIG_Guile_ConvertPtr() takes as its first argument the
swig_module_info * of the calling function, which is where we start
comparing tags. Most types will be looked up in the same module that
created them, so the first module we check will most likely be correct.
Once we have a swig_type_info structure, we loop through the linked
list of casts, using pointer comparisons.
</P><H3><A name=
"Guile_nn14"></A>18.6.2 SCM Smobs
</H3>
<P>The SCM interface (using the
"-scm
" argument to swig) uses
swigrun.swg. The whole type system, when it is first initialized,
creates two smobs named
"swig
" and
"collected_swig
". The swig smob is
used for non-garbage collected smobs, while the collected_swig smob is
used as described below. Each smob has the same format, which is a
double cell created by SCM_NEWSMOB2() The first word of data is the
pointer to the object and the second word of data is the swig_type_info
* structure describing this type. This is a lot easier than the GH
interface above because we can store a pointer to the type info
structure right in the type. With the GH interface, there was not
enough room in the smob to store two whole words of data so we needed
to store part of the
"swig_type_info address
" in the smob tag. If a
generated GOOPS module has been loaded, smobs will be wrapped by the
corresponding GOOPS class.
</P><H3><A name=
"Guile_nn15"></A>18.6.3 Garbage Collection
</H3>
<P>Garbage collection is a feature of the new SCM interface, and it is
automatically included if you pass the
"-scm
" flag to swig. Thus the
swig garbage collection support requires guile
>1.6. Garbage collection
works like this. Every swig_type_info structure stores in its
clientdata field a pointer to the destructor for this type. The
destructor is the generated wrapper around the delete function. So swig
still exports a wrapper for the destructor, it just does not call
scm_c_define_gsubr() for the wrapped delete function. So the only way
to delete an object is from the garbage collector, since the delete
function is not available to scripts. How swig determines if a type
should be garbage collected is exactly like described in
<A href=
"#ownership"> Object ownership and %newobject
</A> in the SWIG manual. All typemaps
use an $owner var, and the guile module replaces $owner with
0 or
1 depending on feature:new.
</P><H2><A name=
"Guile_nn16"></A>18.7 Exception Handling
</H2>
<P> SWIG code calls
<CODE>scm_error
</CODE> on exception, using the
following mapping:
<DIV class=
"code"> MAP(SWIG_MemoryError,
"swig-memory-error
");
MAP(SWIG_IOError,
"swig-io-error
");
MAP(SWIG_RuntimeError,
"swig-runtime-error
");
MAP(SWIG_IndexError,
"swig-index-error
");
MAP(SWIG_TypeError,
"swig-type-error
");
MAP(SWIG_DivisionByZero,
"swig-division-by-zero
");
MAP(SWIG_OverflowError,
"swig-overflow-error
");
MAP(SWIG_SyntaxError,
"swig-syntax-error
");
MAP(SWIG_ValueError,
"swig-value-error
");
MAP(SWIG_SystemError,
"swig-system-error
");
<P> The default when not specified here is to use
"swig-error
". See
Lib/exception.i for details.
</P><H2><A name=
"Guile_nn17"></A>18.8 Procedure documentation
</H2>
<P>If invoked with the command-line option
<CODE>-procdoc
<VAR> file
</VAR>
</CODE>, SWIG creates documentation strings for the generated wrapper
functions, describing the procedure signature and return value, and
writes them to
<VAR> file
</VAR>. You need Guile
1.4 or later to make use
of the documentation files.
</P><P>SWIG can generate documentation strings in three formats, which are
selected via the command-line option
<CODE>-procdocformat
<VAR> format
</VAR><LI><CODE>guile-
1.4</CODE> (default): Generates a format suitable for
<LI><CODE>plain
</CODE>: Generates a format suitable for Guile
1.4.1 and
<LI><CODE>texinfo
</CODE>: Generates texinfo source, which must be run
through texinfo in order to get a format suitable for Guile
1.4.1 and
<P>You need to register the generated documentation file with Guile like
this:
<DIV class=
"targetlang">(use-modules (ice-
9 documentation))
(set! documentation-files
(cons
"<VAR>file
</VAR>" documentation-files))
<P>Documentation strings can be configured using the Guile-specific
typemap argument
<CODE>doc
</CODE>. See
<CODE>Lib/guile/typemaps.i
</CODE><H2><A name=
"Guile_nn18"></A>18.9 Procedures with setters
</H2>
<P>For global variables, SWIG creates a single wrapper procedure
<CODE>(
<VAR>
variable
</VAR> :optional value)
</CODE>, which is used for both getting
and setting the value. For struct members, SWIG creates two wrapper
procedures
<CODE>(
<VAR>struct
</VAR>-
<VAR>member
</VAR>-get pointer)
</CODE> and
<CODE>(
<VAR>struct-member
</VAR>-set pointer value)
</CODE>.
</P><P>If invoked with the command-line option
<CODE>-emit-setters
</CODE> (
<EM>
recommended
</EM>), SWIG will additionally create procedures with
setters. For global variables, the procedure-with-setter
<CODE><VAR>variable
</VAR></CODE> is created, so you can use
<CODE>(
<VAR>variable
</VAR>)
</CODE> to get the value and
<CODE>(set! (
<VAR>variable
</VAR>)
<VAR> value
</VAR>)
</CODE> to set it. For struct members, the
procedure-with-setter
<CODE><VAR>struct
</VAR>-
<VAR>member
</VAR></CODE> is created, so you can use
<CODE>(
<VAR>struct
</VAR>-
<VAR>member
</VAR><VAR> pointer
</VAR>)
</CODE> to get the value and
<CODE>(set! (
<VAR>struct
</VAR>-
<VAR>member
</VAR><VAR> pointer
</VAR>)
<VAR> value
</VAR>)
</CODE> to set
<P>If invoked with the command-line option
<CODE>-only-setters
</CODE>,
SWIG will
<EM> only
</EM> create procedures with setters, i.e., for
struct members, the procedures
<CODE>(
<VAR>struct
</VAR>-
<VAR>member
</VAR>-get pointer)
</CODE> and
<CODE>(
<VAR>struct-member
</VAR>-set pointer
value)
</CODE> are
<EM> not
</EM> generated.
</P><H2><A name=
"Guile_nn19"></A>18.10 GOOPS Proxy Classes
</H2>
<P>SWIG can also generate classes and generic functions for use with
Guile's Object-Oriented Programming System (GOOPS). GOOPS is a
sophisticated object system in the spirit of the Common Lisp Object
<P>GOOPS support is only available with the new SCM interface (enabled
with the
<CODE>-scm
</CODE> command-line option of SWIG). To enable
GOOPS support, pass the
<CODE>-proxy
</CODE> argument to swig. This will
export the GOOPS wrapper definitions into the
<CODE><I>module
</I>.scm
</CODE> file in the directory specified by -outdir or the current directory.
GOOPS support requires either passive or module linkage.
</P><P>The generated file will contain definitions of GOOPS classes
mimicking the C++ class hierarchy.
</P><P>Enabling GOOPS support implies
<CODE>-emit-setters
</CODE>.
</P>
<P>If
<CODE>-emit-slot-accessors
</CODE> is also passed as an argument,
then the generated file will contain accessor methods for all the slots
in the classes and for global variables. The input class
</P> int getMultBy(int i) { return a * i; }
Foo getFooMultBy(int i) { return Foo(a * i); }
Foo getFooPlus(int i) { return Foo(a + i); }
<P> will produce (if
<CODE>-emit-slot-accessors
</CODE> is not passed as
(define-class
<Foo
> (
<swig
>)
(a #:allocation #:swig-virtual
#:slot-ref primitive:Foo-a-get
#:slot-set! primitive:Foo-a-set)
#:metaclass
<swig-metaclass
> #:new-function primitive:new-Foo
(define-method (getMultBy (swig_smob
<Foo
>) i)
(primitive:Foo-getMultBy (slot-ref swig_smob 'smob) i))
(define-method (getFooMultBy (swig_smob
<Foo
>) i)
(make
<Foo
> #:init-smob (primitive:Foo-getFooMultBy (slot-ref swig_smob 'smob) i)))
(define-method (getFooPlus i)
(make
<Foo
> #:init-smob (primitive:getFooPlus i)))
(export
<Foo
> getMultBy getFooMultBy getFooPlus )
<P> and will produce (if
<CODE>-emit-slot-accessors
</CODE> is passed as
(define-class
<Foo
> (
<swig
>)
(a #:allocation #:swig-virtual
#:slot-ref primitive:Foo-a-get
#:slot-set! primitive:Foo-a-set
#:metaclass
<swig-metaclass
> #:new-function primitive:new-Foo
(define-method (getMultBy (swig_smob
<Foo
>) i)
(primitive:Foo-getMultBy (slot-ref swig_smob 'smob) i))
(define-method (getFooMultBy (swig_smob
<Foo
>) i)
(make
<Foo
> #:init-smob (primitive:Foo-getFooMultBy (slot-ref swig_smob 'smob) i)))
(define-method (getFooPlus i)
(make
<Foo
> #:init-smob (primitive:getFooPlus i)))
(export
<Foo
> <B>a
</B> getMultBy getFooMultBy getFooPlus )
<P> which can then be used by this code
</P>
;; not using getters and setters
(define foo (make
<Foo
> #:args '(
45)))
(define foo2 (getFooMultBy foo
7))
(slot-ref (getFooPlus foo
4) 'a)
;; using getters and setters
(define foo (make
<Foo
> #:args '(
45)))
<P>Notice that constructor arguments are passed as a list after the
<CODE>
#:args
</CODE> keyword. Hopefully in the future the following will be
valid
<CODE>(make
<Foo
> #:a
5 #:b
4)
</CODE></P><P>Also note that the order the declarations occur in the .i file make a
difference. For example,
</P>%{ #include
"foo.h
" %}
int someFunc(Foo
&a) {
%include
"foo.h
"<P> This is a valid SWIG file it will work as you think it will for
primitive support, but the generated GOOPS file will be broken. Since
the
<CODE>someFunc
</CODE> definition is parsed by SWIG before all the
declarations in foo.h, the generated GOOPS file will contain the
definition of
<CODE>someFunc()
</CODE> before the definition of
<Foo
>.
The generated GOOPS file would look like
</P>(define-method (someFunc (swig_smob
<Foo
>))
(primitive:someFunc (slot-ref swig_smob 'smob)))
(define-class
<Foo
> (
<swig
>)
<P> Notice that
<Foo
> is used before it is defined. The fix is to just
put the
<CODE>%import
"foo.h
"</CODE> before the
<CODE>%inline
</CODE><H3><A name=
"Guile_nn20"></A>18.10.1 Naming Issues
</H3>
<P>As you can see in the example above, there are potential naming
conflicts. The default exported accessor for the
<CODE>Foo::a
</CODE> variable is named
<CODE>a
</CODE>. The name of the wrapper global
function is
<CODE>getFooPlus
</CODE>. If the
<CODE>-useclassprefix
</CODE> option is passed to swig, the name of all accessors and member
functions will be prepended with the class name. So the accessor will
be called
<CODE>Foo-a
</CODE> and the member functions will be called
<CODE>Foo-getMultBy
</CODE>. Also, if the
<CODE>-goopsprefix goops:
</CODE> argument is passed to swig, every identifier will be prefixed by
<CODE><P>Two guile-modules are created by SWIG. The first module contains the
primitive definitions of all the wrapped functions and variables, and
is located either in the _wrap.cxx file (with
<CODE>-Linkage module
</CODE>) or in the scmstub file (if
<CODE>-Linkage passive -scmstub
</CODE>).
The name of this guile-module is the swig-module name (given on the
command line with the -module argument or with the %module directive)
concatenated with the string
"-primitive
". For example, if
<CODE>%module Test
</CODE> is set in the swig interface file, the name of the
guile-module in the scmstub or
<CODE>-Linkage module
</CODE> will be
<CODE>Test-primitive
</CODE>. Also, the scmstub file will be named
<CODE>Test-primitive.scm
</CODE>. The string
"primitive
" can be changed by the
<CODE>-primsuffix
</CODE> swig argument. So the same interface, with the
<CODE>-primsuffix base
</CODE> will produce a module called
<CODE>Test-base
</CODE>. The second generated guile-module contains all the GOOPS class
definitions and is located in a file named
<I> module
</I>.scm in the
directory specified with -outdir or the current directory. The name of
this guile-module is the name of the swig-module (given on the command
line or with the
<CODE>%module
</CODE> directive). In the previous
example, the GOOPS definitions will be in a file named Test.scm.
</P><P>Because of the naming conflicts, you can't in general use both the
<CODE>
-primitive
</CODE> and the GOOPS guile-modules at the same time. To do
this, you need to rename the exported symbols from one or both
guile-modules. For example,
</P>(use-modules ((Test-primitive) #:renamer (symbol-prefix-proc 'primitive:)))
(use-modules ((Test) #:renamer (symbol-prefix-proc 'goops:)))
<P>TODO: Renaming class name prefixes?
</P>
<H3><A name=
"Guile_nn21"></A>18.10.2 Linking
</H3>
<P>The guile-modules generated above all need to be linked together.
GOOPS support requires either passive or module linkage. The exported
GOOPS guile-module will be the name of the swig-module and should be
located in a file called
<I> Module
</I>.scm. This should be installed on
the autoload path for guile, so that
<CODE>(use-modules (
<I>Package
Module
</I>))
</CODE> will load everything needed. Thus, the top of the
GOOPS guile-module will contain code to load everything needed by the
interface (the shared library, the scmstub module, etc.). The
<CODE>%goops
</CODE> directive inserts arbitrary code into the generated GOOPS
guile-module, and should be used to load the dependent libraries.
</P><P>This breaks up into three cases
</P>
<LI><B>Passive Linkage without -scmstub
</B>: Note that this linkage
style has the potential for naming conflicts, since the primitive
exported function and variable names are not wrapped in a guile-module
and might conflict with names from the GOOPS guile-module (see above).
Pass the -goopsprefix argument to solve this problem. If the
<CODE>-exportprimitive
</CODE> option is passed to SWIG the
<CODE>(export ...)
</CODE> code that would be exported into the scmstub file is exported at the
bottom of the generated GOOPS guile-module. The
<CODE>%goops
</CODE> directive should contain code to load the .so library.
<DIV class=
"code">%goops %{ (load-extension
"./foo.so
" "scm_init_my_modules_foo_module
") %}
<P> Produces the following code at the top of the generated GOOPS
guile-module (with the
<CODE>-package my/modules -module foo
</CODE> command line arguments)
</P>(define-module (my modules foo))
;; %goops directive goes here
(load-extension
"./foo.so
" "scm_init_my_modules_foo_module
")
(use-modules (oop goops) (Swig common))
<P><B>Passive Linkage with -scmstub
</B>: Here, the name of the scmstub
file should be
<CODE>Module-primitive.scm
</CODE> (with
<I> primitive
</I> replaced with whatever is given with the
<CODE>-primsuffix
</CODE> argument. The code to load the
<CODE>.so
</CODE> library should be
located in the
<CODE>%scheme
</CODE> directive, which will then be added
to the scmstub file. Swig will automatically generate the line
<CODE>(use-modules (
<I>Package
</I><I> Module-primitive
</I>))
</CODE> into the
GOOPS guile-module. So if
<I> Module-primitive.scm
</I> is on the
autoload path for guile, the
<CODE>%goops
</CODE> directive can be
empty. Otherwise, the
<CODE>%goops
</CODE> directive should contain
whatever code is needed to load the
<I> Module-primitive.scm
</I> file
%scheme %{ (load-extension
"./foo.so
" "scm_init_my_modules_foo_module
") %}
// only include the following definition if (my modules foo) cannot
// be loaded automatically
(primitive-load
"/path/to/foo-primitive.scm
")
(primitive-load
"/path/to/Swig/common.scm
")
<P> Produces the following code at the top of the generated GOOPS
(define-module (my modules foo))
;; %goops directive goes here (if any)
(primitive-load
"/path/to/foo-primitive.scm
")
(primitive-load
"/path/to/Swig/common.scm
")
(use-modules (oop goops) (Swig common))
(use-modules ((my modules foo-primitive) :renamer (symbol-prefix-proc
<P><B>Module Linkage
</B>: This is very similar to passive linkage with a
scmstub file. Swig will also automatically generate the line
<CODE>(use-modules (
<I>Package
</I><I> Module-primitive
</I>))
</CODE> into the
GOOPS guile-module. Again the
<CODE>%goops
</CODE> directive should
contain whatever code is needed to get that module loaded into guile.
</P>%goops %{ (load-extension
"./foo.so
" "scm_init_my_modules_foo_module
") %}
<P> Produces the following code at the top of the generated GOOPS
(define-module (my modules foo))
;; %goops directive goes here (if any)
(load-extension
"./foo.so
" "scm_init_my_modules_foo_module
")
(use-modules (oop goops) (Swig common))
(use-modules ((my modules foo-primitive) :renamer (symbol-prefix-proc
<P><B>(Swig common)
</B>: The generated GOOPS guile-module also imports
definitions from the (Swig common) guile-module. This module is
included with SWIG and should be installed by SWIG into the autoload
path for guile (based on the configure script and whatever arguments
are passed). If it is not, then the
<CODE>%goops
</CODE> directive also
needs to contain code to load the
<CODE>common.scm
</CODE> file into
guile. Also note that if you are trying to install the generated
wrappers on a computer without SWIG installed, you will need to include
the common.swg file along with the install.
</P><P><B>Multiple Modules
</B>: Type dependencies between modules is
supported. For example, if
<CODE>mod1
</CODE> includes definitions of
some classes, and
<CODE>mod2
</CODE> includes some classes derived from
classes in
<CODE>mod1
</CODE>, the generated GOOPS file for
<CODE>mod2
</CODE> will declare the correct superclasses. The only problem is that since
<CODE>mod2
</CODE> uses symbols from
<CODE>mod1
</CODE>, the
<CODE>mod2
</CODE> GOOPS file must include a
<CODE>(use-modules (mod2))
</CODE>. Currently,
SWIG does not automatically export this line; it must be included in
the
<CODE>%goops
</CODE> directive of
<CODE>mod2
</CODE>. Maybe in the
future SWIG can detect dependencies and export this line. (how do other
language modules handle this problem?)
</P><H1><A name=
"Java"></A>19 SWIG and Java
</H1>
<LI><A href=
"#java_overview">Overview
</A></LI>
<LI><A href=
"#java_preliminaries">Preliminaries
</A>
<LI><A href=
"#running_swig">Running SWIG
</A></LI>
<LI><A href=
"#java_commandline">Additional Commandline Options
</A></LI>
<LI><A href=
"#getting_right_headers">Getting the right header files
</A></LI>
<LI><A href=
"#compiling_dynamic">Compiling a dynamic module
</A></LI>
<LI><A href=
"#using_module">Using your module
</A></LI>
<LI><A href=
"#dynamic_linking_problems">Dynamic linking problems
</A></LI>
<LI><A href=
"#compilation_problems_cpp">Compilation problems and
compiling with C++
</A></LI><LI><A href=
"#building_windows">Building on Windows
</A>
<LI><A href=
"#visual_studio">Running SWIG from Visual Studio
</A></LI>
<LI><A href=
"#nmake">Using NMAKE
</A></LI>
<LI><A href=
"#java_basic_tour">A tour of basic C/C++ wrapping
</A>
<LI><A href=
"#module_packages_classes">Modules, packages and generated
<LI><A href=
"#functions">Functions
</A></LI>
<LI><A href=
"#global_variables">Global variables
</A></LI>
<LI><A href=
"#constants">Constants
</A></LI>
<LI><A href=
"#enumerations">Enumerations
</A>
<LI><A href=
"#anonymous_enums">Anonymous enums
</A></LI>
<LI><A href=
"#typesafe_enums">Typesafe enums
</A></LI>
<LI><A href=
"#proper_enums">Proper Java enums
</A></LI>
<LI><A href=
"#typeunsafe_enums">Type unsafe enums
</A></LI>
<LI><A href=
"#simple_enums">Simple enums
</A></LI>
<LI><A href=
"#pointers">Pointers
</A></LI>
<LI><A href=
"#structures">Structures
</A></LI>
<LI><A href=
"#classes">C++ classes
</A></LI>
<LI><A href=
"#inheritance">C++ inheritance
</A></LI>
<LI><A href=
"#pointers_refs_arrays">Pointers, references, arrays and
<LI><A href=
"#null_pointers">Null pointers
</A></LI>
<LI><A href=
"#overloaded_functions">C++ overloaded functions
</A></LI>
<LI><A href=
"#java_default_arguments">C++ default arguments
</A></LI>
<LI><A href=
"#namespaces">C++ namespaces
</A></LI>
<LI><A href=
"#templates">C++ templates
</A></LI>
<LI><A href=
"#smart_pointers">C++ Smart Pointers
</A></LI>
<LI><A href=
"#further_details">Further details on the generated Java
<LI><A href=
"#imclass">The intermediary JNI class
</A>
<LI><A href=
"#imclass_pragmas">The intermediary JNI class pragmas
</A></LI>
<LI><A href=
"#java_module_class">The Java module class
</A>
<LI><A href=
"#module_class_pragmas">The Java module class pragmas
</A></LI>
<LI><A href=
"#java_proxy_classes">Java proxy classes
</A>
<LI><A href=
"#memory_management">Memory management
</A></LI>
<LI><A href=
"#inheritance_mirroring">Inheritance
</A></LI>
<LI><A href=
"#proxy_classes_gc">Proxy classes and garbage collection
</A></LI>
<LI><A href=
"#type_wrapper_classes">Type wrapper classes
</A></LI>
<LI><A href=
"#enum_classes">Enum classes
</A>
<LI><A href=
"#typesafe_enums_classes">Typesafe enum classes
</A></LI>
<LI><A href=
"#proper_enums_classes">Proper Java enum classes
</A></LI>
<LI><A href=
"#typeunsafe_enums_classes">Type unsafe enum classes
</A></LI>
<LI><A href=
"#java_directors">Cross language polymorphism using
directors (experimental)
</A><LI><A href=
"#java_enabling_directors">Enabling directors
</A></LI>
<LI><A href=
"#java_directors_classes">Director classes
</A></LI>
<LI><A href=
"#java_directors_overhead">Overhead and code bloat
</A></LI>
<LI><A href=
"#java_directors_example">Simple directors example
</A></LI>
<LI><A href=
"#common_customization">Common customization features
</A>
<LI><A href=
"#helper_functions">C/C++ helper functions
</A></LI>
<LI><A href=
"#class_extension">Class extension with %extend
</A></LI>
<LI><A href=
"#exception_handling">Exception handling with %exception and
<LI><A href=
"#method_access">Method access with %javamethodmodifiers
</A></LI>
<LI><A href=
"#tips_techniques">Tips and techniques
</A>
<LI><A href=
"#input_output_parameters">Input and output parameters using
primitive pointers and references
</A></LI><LI><A href=
"#simple_pointers">Simple pointers
</A></LI>
<LI><A href=
"#c_arrays">Wrapping C arrays with Java arrays
</A></LI>
<LI><A href=
"#unbounded_c_arrays">Unbounded C Arrays
</A></LI>
<LI><A href=
"#java_typemaps">Java typemaps
</A>
<LI><A href=
"#default_primitive_type_mappings">Default primitive type
<LI><A href=
"#jvm64">Sixty four bit JVMs
</A></LI>
<LI><A href=
"#what_is_typemap">What is a typemap?
</A></LI>
<LI><A href=
"#typemaps_c_to_java_types">Typemaps for mapping C/C++ types
<LI><A href=
"#typemap_attributes">Java typemap attributes
</A></LI>
<LI><A href=
"#special_variables">Java special variables
</A></LI>
<LI><A href=
"#typemaps_for_c_and_c++">Typemaps for both C and C++
<LI><A href=
"#java_code_typemaps">Java code typemaps
</A></LI>
<LI><A href=
"#java_directors_typemaps">Director specific typemaps
</A></LI>
<LI><A href=
"#typemap_examples">Typemap Examples
</A>
<LI><A href=
"#simpler_enum_classes">Simpler Java enums for enums without
<LI><A href=
"#exception_typemap">Handling C++ exception specifications
as Java exceptions
</A></LI><LI><A href=
"#nan_exception_typemap">NaN Exception - exception handling
for a particular type
</A></LI><LI><A href=
"#converting_java_string_arrays">Converting Java String
arrays to char **
</A></LI><LI><A href=
"#expanding_java_object">Expanding a Java object to multiple
<LI><A href=
"#using_typemaps_return_arguments">Using typemaps to return
<LI><A href=
"#adding_downcasts">Adding Java downcasts to polymorphic
<LI><A href=
"#adding_equals_method">Adding an equals method to the Java
<LI><A href=
"#void_pointers">Void pointers and a common Java base class
</A>
<LI><A href=
"#struct_pointer_pointer">Struct pointer to pointer
</A></LI>
<LI><A href=
"#java_directors_faq">Living with Java Directors
</A></LI>
<LI><A href=
"#odds_ends">Odds and ends
</A>
<LI><A href=
"#javadoc_comments">JavaDoc comments
</A></LI>
<LI><A href=
"#functional_interface">Functional interface without proxy
<LI><A href=
"#using_own_jni_functions">Using your own JNI functions
</A></LI>
<LI><A href=
"#performance">Performance concerns and hints
</A></LI>
<LI><A href=
"#java_examples">Examples
</A></LI>
<P> This chapter describes SWIG's support of Java. It covers most SWIG
features, but certain low-level details are covered in less depth than
<H2><A name=
"java_overview"></A>19.1 Overview
</H2>
<P> The
100% Pure Java effort is a commendable concept, however in the
real world programmers often either need to re-use their existing code
or in some situations want to take advantage of Java but are forced
into using some native (C/C++) code. The Java extension to SWIG makes
it very easy to plumb in existing C/C++ code for access from Java, as
SWIG writes the Java Native Interface (JNI) code for you. It is
different to using the 'javah' tool as SWIG will wrap existing C/C++
code, whereas javah takes 'native' Java function declarations and
creates C/C++ function prototypes. SWIG wraps C/C++ code using Java
proxy classes and is very useful if you want to have access to large
amounts of C/C++ code from Java. If only one or two JNI functions are
needed then using SWIG may be overkill. SWIG enables a Java program to
easily call into C/C++ code from Java. Historically, SWIG was not able
to generate any code to call into Java code from C++. However, SWIG now
supports full cross language polymorphism and code is generated to call
up from C++ to Java when wrapping C++ virtual methods.
</P><P> Java is one of the few non-scripting language modules in SWIG. As
SWIG utilizes the type safety that the Java language offers, it takes a
somewhat different approach to that used for scripting languages. In
particular runtime type checking and the runtime library are not used
by Java. This should be borne in mind when reading the rest of the SWIG
documentation. This chapter on Java is relatively self contained and
will provide you with nearly everything you need for using SWIG and
Java. However, the
"<A href=
"#SWIG">SWIG Basics
</A>" chapter will be a
useful read in conjunction with this one.
</P><P> This chapter starts with a few practicalities on running SWIG and
compiling the generated code. If you are looking for the minimum amount
to read, have a look at the sections up to and including the
<A href=
"#java_basic_tour">tour of basic C/C++ wrapping
</A> section which explains how to call the
various C/C++ code constructs from Java. Following this section are
details of the C/C++ code and Java classes that SWIG generates. Due to
the complexities of C and C++ there are different ways in which C/C++
code could be wrapped and called from Java. SWIG is a powerful tool and
the rest of the chapter details how the default code wrapping can be
tailored. Various customisation tips and techniques using SWIG
directives are covered. The latter sections cover the advanced
techniques of using typemaps for complete control of the wrapping
<H2><A name=
"java_preliminaries"></A>19.2 Preliminaries
</H2>
<P> SWIG
1.1 works with JDKs from JDK
1.1 to JDK1.4 (Java
2 SDK1.4) and
should also work with any later versions. Given the choice, you should
probably use the latest version of Sun's JDK. The SWIG Java module is
known to work using Sun's JVM on Solaris, Linux and the various
flavours of Microsoft Windows including Cygwin. The Kaffe JVM is known
to give a few problems and at the time of writing was not a fully
fledged JVM with full JNI support. The generated code is also known to
work on vxWorks using WindRiver's PJava
3.1. The best way to determine
whether your combination of operating system and JDK will work is to
test the examples and test-suite that comes with SWIG. Run
<TT>make -k
check
</TT> from the SWIG root directory after installing SWIG on Unix
<P> The Java module requires your system to support shared libraries and
dynamic loading. This is the commonly used method to load JNI code so
your system will more than likely support this.
</P><H3><A name=
"running_swig"></A>19.2.1 Running SWIG
</H3>
<P> Suppose that you defined a SWIG module such as the following:
</P>
#include
"header.h
"<P> To build a Java module, run SWIG using the
<TT>-java
</TT> option :
</P>
<P> If building C++, add the
<TT>-c++
</TT> option:
</P>
$ swig -c++ -java example.i
<P> This creates two different files; a C/C++ source file
<TT>
example_wrap.c
</TT> or
<TT>example_wrap.cxx
</TT> and numerous Java
files. The generated C/C++ source file contains the JNI wrapper code
that needs to be compiled and linked with the rest of your C/C++
<P> The name of the wrapper file is derived from the name of the input
file. For example, if the input file is
<TT>example.i
</TT>, the name of
the wrapper file is
<TT>example_wrap.c
</TT>. To change this, you can
use the
<TT>-o
</TT> option. It is also possible to change the
<A href=
"#output">output directory
</A> that the Java files are generated into using
<TT><H3><A name=
"java_commandline"></A>19.2.2 Additional Commandline Options
</H3>
<P> The following table list the additional commandline options
available for the Java module. They can also be seen by using:
</P><TABLE summary=
"Java specific options">
<TR><TH>Java specific options
</TH></TR>
<TR><TD>-package
<name
></TD><TD>set name of the Java package to
<name
></TD>
<TR><TD>-noproxy
</TD><TD>generate the low-level functional interface
instead of proxy classes
</TD></TR><P> Their use will become clearer by the time you have finished reading
this section on SWIG and Java.
</P><H3><A name=
"getting_right_headers"></A>19.2.3 Getting the right header
<P> In order to compile the C/C++ wrappers, the compiler needs the
<TT>
jni.h
</TT> and
<TT>jni_md.h
</TT> header files which are part of the JDK.
They are usually in directories like this:
</P>/usr/java/include/
<operating_system
><P> The exact location may vary on your machine, but the above locations
<H3><A name=
"compiling_dynamic"></A>19.2.4 Compiling a dynamic module
</H3>
<P> The JNI code exists in a dynamic module or shared library (DLL on
Windows) and gets loaded by the JVM. To build a shared library file,
you need to compile your module in a manner similar to the following
$ gcc -c example_wrap.c -I/usr/java/include -I/usr/java/include/solaris
$ ld -G example_wrap.o -o libexample.so
<P> The exact commands for doing this vary from platform to platform.
However, SWIG tries to guess the right options when it is installed.
Therefore, you may want to start with one of the examples in the
<TT>Examples/java
</TT> directory. If that doesn't work, you will need to
read the man-pages for your compiler and linker to get the right set of
options. You might also check the
<A href=
"http://swig.cs.uchicago.edu/cgi-bin/wiki.pl">SWIG Wiki
</A> for additional information.
</P><P> The name of the shared library output file is important. If the name
of your SWIG module is
"<TT>example
</TT>", the name of the
corresponding shared library file should be
"<TT>libexample.so
</TT>" (or equivalent depending on your machine, see
<A href=
"#dynamic_linking_problems">Dynamic linking problems
</A> for more information). The name of the
module is specified using the
<TT>%module
</TT> directive or
<TT>-module
</TT><H3><A name=
"using_module"></A>19.2.5 Using your module
</H3>
<P> To load your shared native library module in Java, simply use Java's
<TT>System.loadLibrary
</TT> method in a Java class:
</P>
System.loadLibrary(
"example
");
public static void main(String argv[]) {
System.out.println(example.fact(
4));
<P> Compile all the Java files and run:
</P>
<P> If it doesn't work have a look at the following section which
discusses problems loading the shared library.
</P><H3><A name=
"dynamic_linking_problems"></A>19.2.6 Dynamic linking
<P> As shown in the previous section the code to load a native library
(shared library) is
<TT>System.loadLibrary(
"name
")
</TT>. This can fail
with an UnsatisfiedLinkError exception and can be due to a number of
<P> You may get an exception similar to this:
</P>
Exception in thread
"main
" java.lang.UnsatisfiedLinkError: no example in java.library.path
at java.lang.ClassLoader.loadLibrary(ClassLoader.java:
1312)
at java.lang.Runtime.loadLibrary0(Runtime.java:
749)
at java.lang.System.loadLibrary(System.java:
820)
at main.
<clinit
>(main.java:
5)
<P> The most common cause for this is an incorrect naming of the native
library for the name passed to the
<TT>loadLibrary
</TT> function. The
string passed to the
<TT>loadLibrary
</TT> function must not include the
file extension name in the string, that is
<I> .dll
</I> or
<I> .so
</I>.
The string must be
<I> name
</I> and not
<I> libname
</I> for all
platforms. On Windows the native library must then be called
<I> name.dll
</I> and on most Unix systems it must be called
<I> libname.so
</I><P> Another common reason for the native library not loading is because
it is not in your path. On Windows make sure the
<I> path
</I> environment variable contains the path to the native library. On Unix
make sure that your
<I> LD_LIBRARY_PATH
</I> contains the path to the
native library. Adding paths to
<I> LD_LIBRARY_PATH
</I> can slow down
other programs on your system so you may want to consider alternative
approaches. For example you could recompile your native library with
extra path information using
<TT>-rpath
</TT> if you're using GNU, see
the GNU linker documentation (
<TT>ld
</TT> man page). You could use a
command such as
<TT>ldconfig
</TT> (Linux) or
<TT>crle
</TT> (Solaris) to
add additional search paths to the default system configuration (this
requires root access and you will need to read the man pages).
</P><P> The native library will also not load if there are any unresolved
symbols in the compiled C/C++ code. The following exception is
Exception in thread
"main
" java.lang.UnsatisfiedLinkError: libexample.so: undefined
at java.lang.ClassLoader$NativeLibrary.load(Native Method)
at java.lang.ClassLoader.loadLibrary0(ClassLoader.java, Compiled Code)
at java.lang.ClassLoader.loadLibrary(ClassLoader.java, Compiled Code)
at java.lang.Runtime.loadLibrary0(Runtime.java, Compiled Code)
at java.lang.System.loadLibrary(System.java, Compiled Code)
at main.
<clinit
>(main.java:
5)
<P> This error usually indicates that you forgot to include some object
files or libraries in the linking of the native library file. Make sure
you compile both the SWIG wrapper file and the code you are wrapping
into the native library file. Also make sure you pass all of the
required libraries to the linker. The
<TT>java -verbose:jni
</TT> commandline switch is also a great way to get more information on
unresolved symbols. One last piece of advice is to beware of the common
faux pas of having more than one native library version in your path.
</P><P> In summary, ensure that you are using the correct C/C++ compiler and
linker combination and options for successful native library loading.
If you are using the examples that ship with SWIG, then the
Examples/Makefile must have these set up correctly for your system. The
SWIG installation package makes a best attempt at getting these correct
but does not get it right
100% of the time. The
<A href=
"http://swig.cs.uchicago.edu/cgi-bin/wiki.pl">SWIG Wiki
</A> also has some settings for commonly used compiler and
operating system combinations. The following section also contains some
C++ specific linking problems and solutions.
</P><H3><A name=
"compilation_problems_cpp"></A>19.2.7 Compilation problems
and compiling with C++
</H3><P> On most machines, shared library files should be linked using the
C++ compiler. For example:
</P>% swig -c++ -java example.i
% g++ -c -fpic example.cxx
% g++ -c -fpic example_wrap.cxx -I/usr/java/j2sdk1.4
.1/include -I/usr/java/
% g++ -shared example.o example_wrap.o -o libexample.so
<P> In addition to this, you may need to include additional library
files to make it work. For example, if you are using the Sun C++
compiler on Solaris, you often need to add an extra library
<TT>-lCrun
</TT>% swig -c++ -java example.i
% CC -c example_wrap.cxx -I/usr/java/include -I/usr/java/include/solaris
% CC -G example.o example_wrap.o -L/opt/SUNWspro/lib -o libexample.so -lCrun
<P> If you aren't entirely sure about the linking for C++, you might
look at an existing C++ program. On many Unix machines, the
<TT>ldd
</TT> command will list library dependencies. This should give you some clues
about what you might have to include when you link your shared library.
libstdc++-libc6.1-
1.so
.2 =
> /usr/lib/libstdc++-libc6.1-
1.so
.2 (
0x40019000)
libm.so
.6 =
> /lib/libm.so
.6 (
0x4005b000)
libc.so
.6 =
> /lib/libc.so
.6 (
0x40077000)
/lib/ld-linux.so
.2 =
> /lib/ld-linux.so
.2 (
0x40000000)
<P> Finally make sure the version of JDK header files matches the
version of Java that you are running as incompatibilities could lead to
compilation problems or unpredictable behaviour.
</P><H3><A name=
"building_windows"></A>19.2.8 Building on Windows
</H3>
<P> Building on Windows is roughly similar to the process used with
Unix. You will want to produce a DLL that can be loaded by the Java
Virtual Machine. This section covers the process of using SWIG with
Microsoft Visual C++
6 although the procedure may be similar with other
compilers. In order for everything to work, you will need to have a JDK
installed on your machine in order to read the JNI header files.
</P><H4><A name=
"visual_studio"></A>19.2.8.1 Running SWIG from Visual Studio
</H4>
<P> If you are developing your application within Microsoft Visual
studio, SWIG can be invoked as a custom build option. The Examples\java
directory has a few
<A href=
"#examples">Windows Examples
</A> containing
Visual Studio project (.dsp) files. The process to re-create the
project files for a C project are roughly:
</P><LI>Open up a new workspace and use the AppWizard to select a DLL
<LI>Add both the SWIG interface file (the .i file), any supporting C
files, and the name of the wrapper file that will be created by SWIG
(ie.
<TT>example_wrap.c
</TT>). Don't worry if the wrapper file doesn't
exist yet--Visual Studio will keep a reference to it.
</LI><LI>Select the SWIG interface file and go to the settings menu. Under
settings, select the
"Custom Build
" option.
</LI><LI>Enter
"SWIG
" in the description field.
</LI>
<LI>Enter
"<TT>swig -java -o $(ProjDir)\$(InputName)_wrap.c $(InputPath)
</TT>
" in the
"Build command(s) field
"</LI>
<LI>Enter
"<TT>$(ProjDir)\$(InputName)_wrap.c
</TT>" in the
"Output
files(s) field
".
</LI><LI>Next, select the settings for the entire project and go to C/C++ tab
and select the Preprocessor category . Add the include directories to
the JNI header files under
"Additional include directories
", eg
"C:\jdk1.3\include,C:\jdk1.3\include\win32
".
</LI>
<LI>Next, select the settings for the entire project and go to Link tab
and select the General category. Set the name of the output file to
match the name of your Java module (ie. example.dll).
</LI><LI>Next, select the example.c and example_wrap.c files and go to the
C/C++ tab and select the Precompiled Headers tab in the project
settings. Disabling precompiled headers for these files will overcome
any precompiled header errors while building.
</LI><LI>Finally, add the java compilation as a post build rule in the
Post-build step tab in project settings, eg,
"c:\jdk1.3\bin\javac
<LI>Build your project.
</LI>
<P> Note: If using C++, choose a C++ suffix for the wrapper file, for
example
<TT>example_wrap.cxx
</TT>. Use
<TT>_wrap.cxx
</TT> instead of
<TT>_wrap.c
</TT> in the instructions above and add -c++ when invoking swig.
</P><P> Now, assuming all went well, SWIG will be automatically invoked when
you build your project. When doing a build, any changes made to the
interface file will result in SWIG being automatically invoked to
produce a new version of the wrapper file.
</P><P> The Java classes that SWIG output should also be compiled into
.class files. To run the native code in the DLL (example.dll), make
sure that it is in your path then run your Java program which uses it,
as described in the previous section. If the library fails to load have
a look at
<A href=
"#dynamic_linking_problems">Dynamic linking problems
</A><H4><A name=
"nmake"></A>19.2.8.2 Using NMAKE
</H4>
<P> Alternatively, a Makefile for use by NMAKE can be written. Make sure
the environment variables for MSVC++ are available and the MSVC++ tools
are in your path. Now, just write a short Makefile like this :
</P># Makefile for using SWIG and Java for C code
WRAPFILE = $(IFILE)_wrap.c
# Location of the Visual C++ tools (
32 bit assumed)
LINK = $(TOOLS)\bin\link.exe
INCLUDE32 = -I$(TOOLS)\include
# C Library needed to build a DLL
DLLIBC = msvcrt.lib oldnames.lib
# Windows libraries that are apparently needed
WINLIB = kernel32.lib advapi32.lib user32.lib gdi32.lib comdlg32.lib winspool.lib
# Libraries common to all DLLs
LIBS = $(DLLIBC) $(WINLIB)
LOPT = -debug:full -debugtype:cv /NODEFAULTLIB /RELEASE /NOLOGO \
/MACHINE:$(MACHINE) -entry:_DllMainCRTStartup@
12 -dll
CFLAGS = /Z7 /Od /c /nologo
JAVA_INCLUDE = -ID:\jdk1.3\include -ID:\jdk1.3\include\win32
swig -java -o $(WRAPFILE) $(INTERFACE)
$(CC) $(CFLAGS) $(JAVA_INCLUDE) $(SRCS) $(WRAPFILE)
$(LINK) $(LOPT) -out:example.dll $(LIBS) example.obj example_wrap.obj
<P> To build the DLL and compile the java code, run NMAKE (you may need
to run
<TT>vcvars32
</TT> first). This is a pretty simplistic Makefile,
but hopefully its enough to get you started. Of course you may want to
make changes for it to work for C++ by adding in the -c++ command line
switch for swig and replacing .c with .cxx.
</P><H2><A name=
"java_basic_tour"></A>19.3 A tour of basic C/C++ wrapping
</H2>
<P> By default, SWIG attempts to build a natural Java interface to your
C/C++ code. Functions are wrapped as functions, classes are wrapped as
classes, variables are wrapped with JavaBean type getters and setters
and so forth. This section briefly covers the essential aspects of this
<H3><A name=
"module_packages_classes"></A>19.3.1 Modules, packages and
generated Java classes
</H3><P> The SWIG
<TT>%module
</TT> directive specifies the name of the Java
module. When you specify `
<TT>%module example
</TT>', the
<I> module name
</I> determines the name of some of the generated files in the module. The
generated code consists of a
<I> module class
</I> file
<TT>example.java
</TT>, an
<I> intermediary JNI class
</I> file,
<TT>exampleJNI.java
</TT> as
well as numerous other Java
<I> proxy class
</I> files. Each proxy class
is named after the structs, unions and classes you are wrapping. You
may also get a
<I> constants interface
</I> file if you are wrapping any
unnamed enumerations or constants, for example
<TT>exampleConstants.java
</TT>. When choosing a module name, make sure you
don't use the same name as one of the generated proxy class files nor a
Java keyword. Sometimes a C/C++ type cannot be wrapped by a proxy
class, for example a pointer to a primitive type. In these situations a
<I> type wrapper class
</I> is generated. Wrapping an enum generates an
<I> enum class
</I>, either a proper Java enum or a Java class that
simulates the enums pattern. Details of all these generated classes
will unfold as you read this section.
</P><P> The JNI (C/C++) code is generated into a file which also contains
the module name, for example
<TT>example_wrap.cxx
</TT> or
<TT>example_wrap.c
</TT>. These C or C++ files complete the contents of the
<P> The generated Java classes can be placed into a Java package by
using the
<TT>-package
</TT> commandline option. This is often combined
with the
<TT>-outdir
</TT> to specify a package directory for generating
swig -java -package com.bloggs.swig -outdir com/bloggs/swig example.i
</DIV> SWIG won't create the directory, so make sure it exists
<H3><A name=
"functions"></A>19.3.2 Functions
</H3>
<P> There is no such thing as a global Java function so global C
functions are wrapped as static methods in the module class. For
<P> creates a static function that works exactly like you think it
public static int fact(int n) {
// makes call using JNI to the C function
<P> The Java class
<TT>example
</TT> is the
<I> module class
</I>. The
function can be used as follows from Java:
</P>System.out.println(example.fact(
4));
<H3><A name=
"global_variables"></A>19.3.3 Global variables
</H3>
<P> C/C++ global variables are fully supported by SWIG. Java does not
allow the overriding of the dot operator so all variables are accessed
through getters and setters. Again because there is no such thing as a
Java global variable, access to C/C++ global variables is done through
static getter and setter functions in the module class.
</P>// SWIG interface file with global variables
// Print out value of a C global variable
System.out.println(
"My_variable =
" + example.getMy_variable());
// Set the value of a C global variable
example.setDensity(
0.8442);
<P> The value returned by the getter will always be up to date even if
the value is changed in C. Note that the getters and setters produced
follow the JavaBean property design pattern. That is the first letter
of the variable name is capitalized and preceded with set or get. If
you have the misfortune of wrapping two variables that differ only in
the capitalization of their first letters, use %rename to change one of
the variable names. For example:
</P>%rename Clash RenamedClash;
<P> If a variable is declared as
<TT>const
</TT>, it is wrapped as a
read-only variable. That is only a getter is produced.
</P><P> To make ordinary variables read-only, you can use the
<TT>%immutable
</TT>
directive. For example:
</P><P> The
<TT>%immutable
</TT> directive stays in effect until it is
explicitly disabled or cleared using
<TT>%mutable
</TT>. See the
<A href=
"#SWIG_readonly_variables">Creatng read-only variables
</A> section for further details.
</P><P> If you just want to make a specific variable immutable, supply a
declaration name. For example:
</P>extern char *path; // Read-only (due to %immutable)
<H3><A name=
"constants"></A>19.3.4 Constants
</H3>
<P> C/C++ constants are wrapped as Java static final variables. To
create a constant, use
<TT>#define
</TT> or the
<TT>%constant
</TT> directive. For example:
</P>#define VERSION
"1.0"%constant const char *path =
"/usr/local
";
<P> By default the generated static final variables are initialized by
making a JNI call to get their value. The constants are generated into
the constants interface and look like this:
</P>public interface exampleConstants {
public final static double PI = exampleJNI.PI_get();
public final static String VERSION = exampleJNI.VERSION_get();
public final static int FOO = exampleJNI.FOO_get();
public final static String path = exampleJNI.path_get();
<P> Note that SWIG has inferred the C type and used an appropriate Java
type that will fit the range of all possible values for the C type. By
default SWIG generates
<B> runtime constants
</B>. They are not
<B> compiler constants
</B> that can, for example, be used in a switch
statement. This can be changed by using the
<TT>%javaconst(flag)
</TT> directive. It works like all the other
<A href=
"#features">%feature
directives
</A>. The default is
<TT>%javaconst(
0)
</TT>. It is possible
to initialize all wrapped constants from pure Java code by placing a
<TT>%javaconst(
1)
</TT><B> before
</B> SWIG parses the constants. Putting it
at the top of your interface file would ensure this. Here is an
#define EXPRESSION (
0x100+
5)
public interface exampleConstants {
public final static int EXPRESSION = (
0x100+
5);
public final static long BIG = exampleJNI.BIG_get();
public final static java.math.BigInteger LARGE = exampleJNI.LARGE_get();
<P> Note that SWIG has inferred the C
<TT>long long
</TT> type from
<TT>
BIG
</TT> and used an appropriate Java type (
<TT>long
</TT>) as a Java
<TT>long
</TT> is the smallest sized Java type that will take all possible
values for a C
<TT>long long
</TT>. Similarly for
<TT>LARGE
</TT>.
</P><P> Be careful using the
<TT>%javaconst(
1)
</TT> directive as not all C
code will compile as Java code. For example neither the
<TT>1000LL</TT> value for
<TT>BIG
</TT> nor
<TT>2000ULL</TT> for
<TT>LARGE
</TT> above
would generate valid Java code. The example demonstrates how you can
target particular constants (
<TT>BIG
</TT> and
<TT>LARGE
</TT>) with
<TT>%javaconst
</TT>. SWIG doesn't use
<TT>%javaconst(
1)
</TT> as the default
as it tries to generate code that will always compile. However, using a
<TT>%javaconst(
1)
</TT> at the top of your interface file is strongly
recommended as the preferred compile time constants will be generated
and most C constants will compile as Java code and in anycase the odd
constant that doesn't can be fixed using
<TT>%javaconst(
0)
</TT>.
</P><P> There is an alternative directive which can be used for these rare
constant values that won't compile as Java code. This is the
<TT>%javaconstvalue(value)
</TT> directive, where
<TT>value
</TT> is a Java
code replacement for the C constant and can be either a string or a
number. This is useful if you do not want to use either the parsed C
value nor a JNI call, such as when the C parsed value will not compile
as Java code and a compile time constant is required. The same example
%javaconstvalue(
"new java.math.BigInteger(\
"2000\
")
") LARGE;
%javaconstvalue(
1000) BIG;
#define EXPRESSION (
0x100+
5)
<P> Note the string quotes for
<TT>"2000"</TT> are escaped. The
following is then generated:
</P>public interface exampleConstants {
public final static int EXPRESSION = (
0x100+
5);
public final static long BIG =
1000;
public final static java.math.BigInteger LARGE = new java.math.BigInteger(
"2000");
<P> Note: declarations declared as
<TT>const
</TT> are wrapped as
read-only variables and will be accessed using a getter as described in
the previous section. They are not wrapped as constants.
</P><P><B> Compatibility Note:
</B> In SWIG-
1.3.19 and earlier releases, the
constants were generated into the module class and the constants
interface didn't exist. Backwards compatibility is maintained as the
module class implements the constants interface (even though some
consider this type of interface implementation to be bad practice):
</P>public class example implements exampleConstants {
<P> You thus have the choice of accessing these constants from either
the module class or the constants interface, for example,
<TT>example.EXPRESSION
</TT> or
<TT>exampleConstants.EXPRESSION
</TT>. Or if
you decide this practice isn't so bad and your own class implements
<TT>exampleConstants
</TT>, you can of course just use
<TT>EXPRESSION
</TT>.
</P><H3><A name=
"enumerations"></A>19.3.5 Enumerations
</H3>
<P> SWIG handles both named and unnamed (anonymous) enumerations. There
is a choice of approaches to wrapping named C/C++ enums. This is due to
historical reasons as SWIG's initial support for enums was limited and
Java did not originally have support for enums. Each approach has
advantages and disadvantages and it is important for the user to decide
which is the most appropriate solution. There are four approaches of
which the first is the default approach based on the so called Java
typesafe enum pattern. The second generates proper Java enums. The
final two approaches use simple integers for each enum item. Before
looking at the various approaches for wrapping named C/C++ enums,
anonymous enums are considered.
</P><H4><A name=
"anonymous_enums"></A>19.3.5.1 Anonymous enums
</H4>
<P> There is no name for anonymous enums and so they are handled like
constants. For example:
</P>enum { ALE, LAGER=
10, STOUT, PILSNER };
<P> is wrapped into the constants interface, in a similar manner as
constants (see previous section):
</P>public interface exampleConstants {
public final static int ALE = exampleJNI.ALE_get();
public final static int LAGER = exampleJNI.LAGER_get();
public final static int STOUT = exampleJNI.STOUT_get();
public final static int PILSNER = exampleJNI.PILSNER_get();
<P> The
<TT>%javaconst(flag)
</TT> and
<TT>%javaconstvalue(value)
</TT>
directive introduced in the previous section on constants can also be
used with enums. As is the case for constants, the default is
<TT>%javaconst(
0)
</TT> as not all C values will compile as Java code.
However, it is strongly recommended to add in a
<TT>%javaconst(
1)
</TT> directive at the top of your interface file as it is only on very rare
occasions that this will produce code that won't compile under Java.
Using
<TT>%javaconst(
1)
</TT> will ensure compile time constants are
generated, thereby allowing the enum values to be used in Java switch
statements. Example usage:
</P>enum { ALE, LAGER=
10, STOUT, PILSNER };
public interface exampleConstants {
public final static int ALE =
0;
public final static int LAGER =
10;
public final static int STOUT = LAGER+
1;
public final static int PILSNER = exampleJNI.PILSNER_get();
<P> As in the case of constants, you can access them through either the
module class or the constants interface, for example,
<TT>example.ALE
</TT> or
<TT>exampleConstants.ALE
</TT>.
</P><H4><A name=
"typesafe_enums"></A>19.3.5.2 Typesafe enums
</H4>
<P> This is the default approach to wrapping named enums. The typesafe
enum pattern is a relatively well known construct to work around the
lack of enums in versions of Java prior to Java
2 SDK
1.5. It basically
defines a class for the enumeration and permits a limited number of
final static instances of the class. Each instance equates to an enum
item within the enumeration. The implementation is in the
"enumtypesafe.swg
" file. Let's look at an example:
</P>
%include
"enumtypesafe.swg
" // optional as typesafe enums are the default
enum Beverage { ALE, LAGER=
10, STOUT, PILSNER };
public final class Beverage {
public final static Beverage ALE = new Beverage(
"ALE
");
public final static Beverage LAGER = new Beverage(
"LAGER
", exampleJNI.LAGER_get());
public final static Beverage STOUT = new Beverage(
"STOUT
");
public final static Beverage PILSNER = new Beverage(
"PILSNER
");
[... additional support methods omitted for brevity ...]
<P> See
<A href=
"#typesafe_enums_classes">Typesafe enum classes
</A> to
see the omitted support methods. Note that the enum item with an
initializer (LAGER) is initialized with the enum value obtained via a
JNI call. However, as with anonymous enums and constants, use of the
<TT>%javaconst
</TT> directive is strongly recommended to change this
%include
"enumtypesafe.swg
" // optional as typesafe enums are the default
enum Beverage { ALE, LAGER=
10, STOUT, PILSNER };
public final class Beverage {
public final static Beverage ALE = new Beverage(
"ALE
");
public final static Beverage LAGER = new Beverage(
"LAGER
",
10);
public final static Beverage STOUT = new Beverage(
"STOUT
");
public final static Beverage PILSNER = new Beverage(
"PILSNER
");
[... additional support methods omitted for brevity ...]
<P> The generated code is easier to read and more efficient as a true
constant is used instead of a JNI call. As is the case for constants,
the default is
<TT>%javaconst(
0)
</TT> as not all C values will compile
as Java code. However, it is recommended to add in a
<TT>%javaconst(
1)
</TT> directive at the top of your interface file as it is only on very rare
occasions that this will produce code that won't compile under Java.
The
<TT>%javaconstvalue(value)
</TT> directive can also be used for
typesafe enums. Note that global enums are generated into a Java class
within whatever package you are using. C++ enums defined within a C++
class are generated into a static final inner Java class within the
<P> Typesafe enums have their advantages over using plain integers in
that they they can be used in a typesafe manner. However, there are
limitations. For example, they cannot be used in switch statements and
serialization is an issue. Please look at the following references for
further information:
<A href=
"http://java.sun.com/developer/Books/shiftintojava/page1.html#replaceenums">Replace Enums with Classes
</A> in
<I> Effective Java Programming
</I> on
the Sun website,
<A href=
"http://www.javaworld.com/javaworld/jw-07-1997/jw-07-enumerated.html">Create enumerated constants in Java
</A> JavaWorld article,
<A href=
"http://www.javaworld.com/javaworld/javatips/jw-javatip133.html">Java Tip
133: More on typesafe enums
</A> and
<A href=
"http://www.javaworld.com/javaworld/javatips/jw-javatip122.html">Java Tip
122: Beware of Java typesafe enumerations
</A> JavaWorld tips.
</P><P> Note that the syntax required for using typesafe enums is the same
as that for proper Java enums. This is useful during the period that a
project has to support legacy versions of Java. When upgrading to J2SDK
1.5 or later, proper Java enums could be used instead, without users
having to change their code. The following section details proper Java
<H4><A name=
"proper_enums"></A>19.3.5.3 Proper Java enums
</H4>
<P> Proper Java enums were only introduced in Java
2 SDK
1.5 so this
approach is only compatible with more recent versions of Java. Java
enums have been designed to overcome all the limitations of both
typesafe and type unsafe enums and should be the choice solution,
provided older versions of Java do not have to be supported. In this
approach, each named C/C++ enum is wrapped by a Java enum. Java enums,
by default, do not support enums with initializers. Java enums are in
many respects similar to Java classes in that they can be customised
with additional methods. SWIG takes advantage of this feature to
facilitate wrapping C/C++ enums that have initializers. In order to
wrap all possible C/C++ enums using proper Java enums, the
"enums.swg
" file must be used. Let's take a look at an example.
</P>%include
"enums.swg
"enum Beverage { ALE, LAGER=
10, STOUT, PILSNER };
[... additional support methods omitted for brevity ...]
<P> See
<A href=
"#proper_enums_classes">Proper Java enum classes
</A> to
see the omitted support methods. The generated Java enum has numerous
additional methods to support enums with initializers, such as
<TT>LAGER
</TT> above. Note that as with the typesafe enum pattern, enum
items with initializers are by default initialized with the enum value
obtained via a JNI call. However, this is not the case above as we have
used the recommended
<TT>%javaconst(
1)
</TT> to avoid the JNI call. The
<TT>%javaconstvalue(value)
</TT> directive covered in the
<A href=
"#constants">Constants
</A> section can also be used for proper Java enums.
</P><P> The additional support methods need not be generated if none of the
enum items have initializers and this is covered later in the
<A href=
"#simpler_enum_classes">Simpler Java enums for enums without initializers
</A> section.
</P><H4><A name=
"typeunsafe_enums"></A>19.3.5.4 Type unsafe enums
</H4>
<P> In this approach each enum item in a named enumeration is wrapped as
a static final integer in a class named after the C/C++ enum name. This
is a commonly used pattern in Java to simulate C/C++ enums, but it is
not typesafe. However, the main advantage over the typesafe enum
pattern is enum items can be used in switch statements. In order to use
this approach, the
"enumtypeunsafe.swg
" file must be used. Let's take a
%include
"enumtypeunsafe.swg
"enum Beverage { ALE, LAGER=
10, STOUT, PILSNER };
public final class Beverage {
public final static int ALE =
0;
public final static int LAGER =
10;
public final static int STOUT = LAGER +
1;
public final static int PILSNER = STOUT +
1;
<P> As is the case previously, the default is
<TT>%javaconst(
0)
</TT> as
not all C/C++ values will compile as Java code. However, again it is
recommended to add in a
<TT>%javaconst(
1)
</TT> directive. and the
<TT>%javaconstvalue(value)
</TT> directive covered in the
<A href=
"#constants">Constants
</A> section can also be used for type unsafe enums. Note that
global enums are generated into a Java class within whatever package
you are using. C++ enums defined within a C++ class are generated into
a static final inner Java class within the Java proxy class.
</P><P> Note that unlike typesafe enums, this approach requires users to
mostly use different syntax compared with proper Java enums. Thus the
upgrade path to proper enums provided in J2SDK
1.5 is more painful.
</P><H4><A name=
"simple_enums"></A>19.3.5.5 Simple enums
</H4>
<P> This approach is similar to the type unsafe approach. Each enum item
is also wrapped as a static final integer. However, these integers are
not generated into a class named after the C/C++ enum. Instead, global
enums are generated into the constants interface. Also, enums defined
in a C++ class have their enum items generated directly into the Java
proxy class rather than an inner class within the Java proxy class. In
fact, this approach is effectively wrapping the enums as if they were
anonymous enums and the resulting code is as per
<A href=
"#anonymous_enums">anonymous enums
</A>. The implementation is in the
"enumsimple.swg
" file.
</P><P><B> Compatibility Note:
</B> SWIG-
1.3.21 and earlier versions wrapped
all enums using this approach. The type unsafe approach is preferable
to this one and this simple approach is only included for backwards
compatibility with these earlier versions of SWIG.
</P><H3><A name=
"pointers"></A>19.3.6 Pointers
</H3>
<P> C/C++ pointers are fully supported by SWIG. Furthermore, SWIG has no
problem working with incomplete type information. Here is a rather
FILE *fopen(const char *filename, const char *mode);
int fputs(const char *, FILE *);
<P> When wrapped, you will be able to use the functions in a natural way
from Java. For example:
</P>SWIGTYPE_p_FILE f = example.fopen(
"junk
",
"w
");
example.fputs(
"Hello World\n
", f);
<P> C pointers in the Java module are stored in a Java
<TT>long
</TT> and
cross the JNI boundary held within this
64 bit number. Many other SWIG
language modules use an encoding of the pointer in a string. These
scripting languages use the SWIG runtime type checker for dynamic type
checking as they do not support static type checking by a compiler. In
order to implement static type checking of pointers within Java, they
are wrapped by a simple Java class. In the example above the
<TT>FILE *
</TT> pointer is wrapped with a
<I> type wrapper class
</I> called
<TT>SWIGTYPE_p_FILE
</TT>.
</P><P> Once obtained, a type wrapper object can be freely passed around to
different C functions that expect to receive an object of that type.
The only thing you can't do is dereference the pointer from Java. Of
course, that isn't much of a concern in this example.
</P><P> As much as you might be inclined to modify a pointer value directly
from Java, don't. The value is not necessarily the same as the logical
memory address of the underlying object. The value will vary depending
on the native byte-ordering of the platform (i.e., big-endian vs.
little-endian). Most JVMs are
32 bit applications so any JNI code must
also be compiled as
32 bit. The net result is pointers in JNI code are
also
32 bits and are stored in the high order
4 bytes on big-endian
machines and in the low order
4 bytes on little-endian machines. By
design it is also not possible to manually cast a pointer to a new type
by using Java casts as it is particularly dangerous especially when
casting C++ objects. If you need to cast a pointer or change its value,
consider writing some helper functions instead. For example:
</P> return dynamic_cast
<Foo*
>(b);
Foo *IncrFoo(Foo *f, int i) {
<P> Also, if working with C++, you should always try to use the new C++
style casts. For example, in the above code, the C-style cast may
return a bogus result whereas as the C++-style cast will return a NULL
pointer if the conversion can't be performed.
</P><H3><A name=
"structures"></A>19.3.7 Structures
</H3>
<P> If you wrap a C structure, it is wrapped by a Java class with
getters and setters for access to the member variables. For example,
</P><P> is used as follows:
</P>
<P> The variable setters and getters are also based on the JavaBean
design pattern already covered under the Global variables section.
Similar access is provided for unions and the public data members of
<P> This object is actually an instance of a Java class that has been
wrapped around a pointer to the C structure. This instance doesn't
actually do anything--it just serves as a proxy. The pointer to the C
object is held in the Java proxy class in much the same way as pointers
are held by type wrapper classes. Further details about Java proxy
classes are covered a little later.
</P><P> <TT>const
</TT> members of a structure are read-only. Data members
can also be forced to be read-only using the
<TT>%immutable
</TT> directive. For example:
</P> int x; /* Read-only members */
<P> When
<TT>char *
</TT> members of a structure are wrapped, the
contents are assumed to be dynamically allocated using
<TT>malloc
</TT> or
<TT>new
</TT> (depending on whether or not SWIG is run with the -c++
option). When the structure member is set, the old contents will be
released and a new value created. If this is not the behavior you want,
you will have to use a typemap (described later).
</P><P> If a structure contains arrays, access to those arrays is managed
through pointers. For example, consider this:
</P><P> If accessed in Java, you will see behavior like this:
</P>
SWIGTYPE_p_int x = b.getX();
<P> This pointer can be passed around to functions that expect to
receive an
<TT>int *
</TT> (just like C). You can also set the value of
an array member using another pointer. For example:
</P>SWIGTYPE_p_int x = b.getX();
c.setX(x); // Copy contents of b.x to c.x
<P> For array assignment (setters not getters), SWIG copies the entire
contents of the array starting with the data pointed to by
<TT>b.x
</TT>. In this example,
16 integers would be copied. Like C, SWIG makes no
assumptions about bounds checking---if you pass a bad pointer, you may
get a segmentation fault or access violation. The default wrapping
makes it hard to set or get just one element of the array and so array
access from Java is somewhat limited. This can be changed easily though
by using the approach outlined later in the
<A href=
"#c_arrays">Wrapping C arrays with Java arrays
</A> and
<A href=
"#unbounded_c_arrays">Unbounded C Arrays
</A> sections.
</P><P> When a member of a structure is itself a structure, it is handled as
a pointer. For example, suppose you have two structures like this:
</P><P> Now, suppose that you access the
<TT>f
</TT> member of
<TT>Bar
</TT>
<P> In this case,
<TT>x
</TT> is a pointer that points to the
<TT>Foo
</TT>
that is inside
<TT>b
</TT>. This is the same value as generated by this
Foo *x =
&b-
>f; /* Points inside b */
<P> Because the pointer points inside the structure, you can modify the
contents and everything works just like you would expect. For example:
</P>b.getF().setA(
3); // Modify b.f.a
x.setA(
3); // Modify x.a - this is the same as b.f.a
<H3><A name=
"classes"></A>19.3.8 C++ classes
</H3>
<P> C++ classes are wrapped by Java classes as well. For example, if you
<P> you can use it in Java like this:
</P>
l.insert(
"Ale
");
l.insert(
"Stout
");
l.insert(
"Lager
");
int length = l.getLength();
<P> Class data members are accessed in the same manner as C structures.
</P>
<P> Static class members are unsurprisingly wrapped as static members of
<P> The static members work like any other Java static member:
</P>
<H3><A name=
"inheritance"></A>19.3.9 C++ inheritance
</H3>
<P> SWIG is fully aware of issues related to C++ inheritance. Therefore,
if you have classes like this
</P><P> those classes are wrapped into a hierarchy of Java classes that
reflect the same inheritance structure:
</P>System.out.println(c.getSuperclass().getName());
<P> will of course display:
</P>
<P> Furthermore, if you have functions like this
</P>
<P> then the Java function
<TT>spam()
</TT> accepts instances of
<TT>Foo
</TT>
or instances of any other proxy classes derived from
<TT>Foo
</TT>.
</P><P> Note that Java does not support multiple inheritance so any multiple
inheritance in the C++ code is not going to work. A warning is given
when multiple inheritance is detected and only the first base class is
<H3><A name=
"pointers_refs_arrays"></A>19.3.10 Pointers, references,
arrays and pass by value
</H3><P> In C++, there are many different ways a function might receive and
manipulate objects. For example:
</P>void spam1(Foo *x); // Pass by pointer
void spam2(Foo
&x); // Pass by reference
void spam3(Foo x); // Pass by value
void spam4(Foo x[]); // Array of objects
<P> In Java, there is no detailed distinction like this--specifically,
there are only instances of classes. There are no pointers nor
references. Because of this, SWIG unifies all of these types together
in the wrapper code. For instance, if you actually had the above
functions, it is perfectly legal to do this from Java:
</P>Foo f = new Foo(); // Create a Foo
example.spam1(f); // Ok. Pointer
example.spam2(f); // Ok. Reference
example.spam3(f); // Ok. Value.
example.spam4(f); // Ok. Array (
1 element)
<P> Similar behavior occurs for return values. For example, if you had
<P> then all three functions will return a pointer to some
<TT>Foo
</TT>
object. Since the third function (spam7) returns a value, newly
allocated memory is used to hold the result and a pointer is returned
(Java will release this memory when the returned object's finalizer is
run by the garbage collector).
</P><H4><A name=
"null_pointers"></A>19.3.10.1 Null pointers
</H4>
<P> Working with null pointers is easy. A Java
<TT>null
</TT> can be used
whenever a method expects a proxy class or typewrapper class. However,
it is not possible to pass null to C/C++ functions that take parameters
by value or by reference. If you try you will get a
NullPointerException.
</P>example.spam1(null); // Pointer - ok
example.spam2(null); // Reference - NullPointerException
example.spam3(null); // Value - NullPointerException
example.spam4(null); // Array - ok
<P> For
<TT>spam1
</TT> and
<TT>spam4
</TT> above the Java
<TT>null
</TT>
gets translated into a NULL pointer for passing to the C/C++ function.
The converse also occurs, that is, NULL pointers are translated into
<TT>null
</TT> Java objects when returned from a C/C++ function.
</P><H3><A name=
"overloaded_functions"></A>19.3.11 C++ overloaded functions
</H3>
<P> C++ overloaded functions, methods, and constructors are mostly
supported by SWIG. For example, if you have two functions like this:
</P><P> You can use them in Java in a straightforward manner:
</P>
example.foo(
3); // foo(int)
example.foo(
"Hello
"); // foo(char *c)
<P> Similarly, if you have a class like this,
</P>
<P> you can write Java code like this:
</P>
Foo f = new Foo(); // Create a Foo
Foo g = new Foo(f); // Copy f
<P> Overloading support is not quite as flexible as in C++. Sometimes
there are methods that SWIG cannot disambiguate as there can be more
than one C++ type mapping onto a single Java type. For example:
</P>void spam(unsigned short);
<P> Here both int and unsigned short map onto a Java int. Here is
<P> If declarations such as these appear, you will get a warning message
example.i:
12: Warning(
515): Overloaded method spam(unsigned short) ignored.
Method spam(int) at example.i:
11 used.
<P> To fix this, you either need to ignore or rename one of the methods.
%rename(spam_short) spam(short);
void spam(short); // Accessed as spam_short
void spam(short); // Ignored
<H3><A name=
"java_default_arguments"></A>19.3.12 C++ default arguments
</H3>
<P> Any function with a default argument is wrapped by generating an
additional function for each argument that is defaulted. For example,
if we have the following C++:
</P>void defaults(double d=
10.0, int i=
0);
<P> The following methods are generated in the Java module class:
</P>
public static void defaults(double d, int i) { ... }
public static void defaults(double d) { ... }
public static void defaults() { ... }
<P> It is as if SWIG had parsed three separate overloaded methods. The
same approach is taken for static methods, constructors and member
<P><B> Compatibility note:
</B> Versions of SWIG prior to SWIG-
1.3.23
wrapped these with a single wrapper method and so the default values
could not be taken advantage of from Java. Further details on default
arguments and how to restore this approach are given in the more
general
<A href=
"#SWIGPlus_default_args">Default arguments
</A> section.
</P><H3><A name=
"namespaces"></A>19.3.13 C++ namespaces
</H3>
<P> SWIG is aware of C++ namespaces, but namespace names do not appear
in the module nor do namespaces result in a module that is broken up
into submodules or packages. For example, if you have a file like this,
</P><P> it works in Java as follows:
</P>
<P> If your program has more than one namespace, name conflicts (if any)
can be resolved using
<TT>%rename
</TT> For example:
</P>%rename(Bar_spam) Bar::spam;
<P> If you have more than one namespace and you want to keep their
symbols separate, consider wrapping them as separate SWIG modules. Each
SWIG module can be placed into a separate package.
</P><H3><A name=
"templates"></A>19.3.14 C++ templates
</H3>
<P> C++ templates don't present a huge problem for SWIG. However, in
order to create wrappers, you have to tell SWIG to create wrappers for
a particular template instantiation. To do this, you use the
<TT>%template
</TT> directive. For example:
</P>#include
"pair.h
"template
<class T1, class T2
> pair(const T1
&, const T2
&);
%template(pairii) pair
<int,int
>;
pairii p = new pairii(
3,
4);
int first = p.getFirst();
int second = p.getSecond();
<P> Obviously, there is more to template wrapping than shown in this
example. More details can be found in the
<A href=
"#SWIGPlus">SWIG and
<H3><A name=
"smart_pointers"></A>19.3.15 C++ Smart Pointers
</H3>
<P> In certain C++ programs, it is common to use classes that have been
wrapped by so-called
"smart pointers.
" Generally, this involves the use
of a template class that implements
<TT>operator-
>()
</TT> like this:
</P>template
<class T
> class SmartPtr {
<P> Then, if you have a class like this,
</P>
<P> A smart pointer would be used in C++ as follows:
</P>
SmartPtr
<Foo
> p = CreateFoo(); // Created somehow (not shown)
int y = p-
>bar(); // Foo::bar
<P> To wrap this in Java, simply tell SWIG about the
<TT>SmartPtr
</TT>
class and the low-level
<TT>Foo
</TT> object. Make sure you instantiate
<TT>SmartPtr
</TT> using
<TT>%template
</TT> if necessary. For example:
</P>%template(SmartPtrFoo) SmartPtr
<Foo
>;
<P> Now, in Java, everything should just
"work
":
</P>
SmartPtrFoo p = example.CreateFoo(); // Create a smart-pointer somehow
int y = p.bar(); // Foo::bar
<P> If you ever need to access the underlying pointer returned by
<TT>
operator-
>()
</TT> itself, simply use the
<TT>__deref__()
</TT> method.
Foo f = p.__deref__(); // Returns underlying Foo *
<H2><A name=
"further_details"></A>19.4 Further details on the generated
<P> In the previous section, a high-level view of Java wrapping was
presented. A key component of this wrapping is that structures and
classes are wrapped by Java proxy classes and type wrapper classes are
used in situations where no proxies are generated. This provides a very
natural, type safe Java interface to the C/C++ code and fits in with
the Java programing paradigm. However, a number of low-level details
were omitted. This section provides a brief overview of how the proxy
classes work and then covers the type wrapper classes. Finally enum
classes are covered. First, the crucial intermediary JNI class is
<H3><A name=
"imclass"></A>19.4.1 The intermediary JNI class
</H3>
<P> In the
<A href=
"#SWIG">"SWIG basics
"</A> and
<A href=
"#SWIGPlus">
"SWIG and C++
"</A> chapters, details of low-level structure and class
wrapping are described. To summarize those chapters, if you have a
global function and class like this
</P> int spam(int num, Foo* foo);
<P> then SWIG transforms the class into a set of low-level procedural
wrappers. These procedural wrappers essentially perform the equivalent
void delete_Foo(Foo *f) {
void Foo_x_set(Foo *f, int value) {
int Foo_spam(Foo *f, int num, Foo* foo) {
return f-
>spam(num, foo);
<P> These procedural function names don't actually exist, but their
functionality appears inside the generated JNI functions. The JNI
functions have to follow a particular naming convention so the function
JNIEXPORT jlong JNICALL Java_exampleJNI_new_1Foo(JNIEnv *jenv, jclass jcls);
JNIEXPORT void JNICALL Java_exampleJNI_delete_1Foo(JNIEnv *jenv, jclass jcls,
JNIEXPORT void JNICALL Java_exampleJNI_Foo_1x_1set(JNIEnv *jenv, jclass jcls,
jlong jarg1, jint jarg2);
JNIEXPORT jint JNICALL Java_exampleJNI_Foo_1x_1get(JNIEnv *jenv, jclass jcls,
JNIEXPORT jint JNICALL Java_exampleJNI_Foo_1spam(JNIEnv *jenv, jclass jcls,
jlong jarg1, jint jarg2, jlong jarg3);
JNIEXPORT void JNICALL Java_exampleJNI_egg(JNIEnv *jenv, jclass jcls, jlong jarg1);
<P> For every JNI C function there has to be a static native Java
function. These appear in the intermediary JNI class:
</P> public final static native long new_Foo();
public final static native void delete_Foo(long jarg1);
public final static native void Foo_x_set(long jarg1, int jarg2);
public final static native int Foo_x_get(long jarg1);
public final static native int Foo_spam(long jarg1, int jarg2, long jarg3);
public final static native void egg(long jarg1);
<P> This class contains the complete Java - C/C++ interface so all
function calls go via this class. As this class acts as a go-between
for all JNI calls to C/C++ code from the Java
<A href=
"#java_proxy_classes">proxy classes
</A>,
<A href=
"#type_wrapper_classes">type wrapper classes
</A> and
<A href=
"#java_module_class">module class
</A>, it is known as the
intermediary JNI class.
</P><P> You may notice that SWIG uses a Java long wherever a pointer or
class object needs traversing the Java-C/C++ boundary. This approach
leads to minimal JNI code which makes for better performance as JNI
code involves a lot of string manipulation. SWIG uses Java code
wherever possible as it is compiled into byte code which requires fewer
<P> The functions in the intermediary JNI class cannot be accessed
outside of its package. Access to them is gained through the module
class for globals otherwise the appropriate proxy class.
</P><P> The name of the intermediary JNI class can be changed from its
default, that is, the module name with JNI appended after it. The
module directive attribute
<TT>jniclassname
</TT> is used to achieve
%module (jniclassname=
"name
") modulename
<P> If
<TT>name
</TT> is the same as
<TT>modulename
</TT> then the module
class name gets changed from
<TT>modulename
</TT> to
<TT>modulenameModule
</TT>.
</P><H4><A name=
"imclass_pragmas"></A>19.4.1.1 The intermediary JNI class
<P> The intermediary JNI class can be tailored through the use of
pragmas, but is not commonly done. The pragmas for this class are:
</P><TABLE BORDER
summary=
"Intermediary JNI class pragmas">
<TR VALIGN=
"TOP"><TD><B>Pragma
</B></TD><TD><B>Description
</B></TD></TR>
<TR><TD>jniclassbase
</TD><TD>Base class for the intermediary JNI class
</TD>
<TR><TD>jniclassclassmodifiers
</TD><TD>Class modifiers and class type
for the intermediary JNI class
</TD></TR><TR><TD>jniclasscode
</TD><TD>Java code is copied verbatim into the
intermediary JNI class
</TD></TR><TR><TD>jniclassimports
</TD><TD>Java code, usually one or more import
statements, placed before the intermediary JNI class definition
</TD></TR><TR><TD>jniclassinterfaces
</TD><TD>Comma separated interface classes for
the intermediary JNI class
</TD></TR><P> The pragma code appears in the generated intermediary JNI class
where you would expect:
</P>[ jniclassimports pragma ]
[ jniclassmodifiers pragma ] jniclassname extends [ jniclassbase pragma ]
implements [ jniclassinterfaces pragma ] {
... SWIG generated native methods ...
<P> The
<TT>jniclasscode
</TT> pragma is quite useful for adding in a
static block for loading the shared library / dynamic link library and
demonstrates how pragmas work:
</P>%pragma(java) jniclasscode=%{
System.loadLibrary(
"example
");
} catch (UnsatisfiedLinkError e) {
System.err.println(
"Native code library failed to load. \n
" + e);
<P> Pragmas will take either
<TT>""</TT> or
<TT>%{ %}
</TT> as
delimeters. For example, let's change the intermediary JNI class access
%pragma(java) jniclassclassmodifiers=
"public class
"<P> All the methods in the intermediary JNI class will then be callable
outside of the package as the method modifiers are public by default.
</P><H3><A name=
"java_module_class"></A>19.4.2 The Java module class
</H3>
<P> All global functions and variable getters/setters appear in the
module class. For our example, there is just one function:
</P> public static void egg(Foo chips) {
exampleJNI.egg(Foo.getCPtr(chips));
<P> The module class is necessary as there is no such thing as a global
in Java so all the C globals are put into this class. They are
generated as static functions and so must be accessed as such by using
the module name in the static function call:
</P><P> The primary reason for having the module class wrapping the calls in
the intermediary JNI class is to implement static type checking. In
this case only a
<TT>Foo
</TT> can be passed to the
<TT>egg
</TT> function, whereas any
<TT>long
</TT> can be passed to the
<TT>egg
</TT> function in the intermediary JNI class.
</P><H4><A name=
"module_class_pragmas"></A>19.4.2.1 The Java module class
<P> The module class can be tailored through the use of pragmas, in the
same manner as the intermediary JNI class. The pragmas are similarly
named and are used in the same way. The complete list follows:
</P><TABLE BORDER
summary=
"Java module class pragmas">
<TR VALIGN=
"TOP"><TD><B>Pragma
</B></TD><TD><B>Description
</B></TD></TR>
<TR><TD>modulebase
</TD><TD>Base class for the module class
</TD></TR>
<TR><TD>moduleclassmodifiers
</TD><TD>Class modifiers and class type for
the module class
</TD></TR><TR><TD>modulecode
</TD><TD>Java code is copied verbatim into the module
<TR><TD>moduleimports
</TD><TD>Java code, usually one or more import
statements, placed before the module class definition
</TD></TR><TR><TD>moduleinterfaces
</TD><TD>Comma separated interface classes for
the module class
</TD></TR><P> The pragma code appears in the generated module class like this:
</P>
[ modulemodifiers pragma ] modulename extends [ modulebase pragma ]
implements [ moduleinterfaces pragma ] {
... SWIG generated wrapper functions ...
<P> See
<A href=
"#imclass_pragmas">The intermediary JNI class pragmas
</A>
section for further details on using pragmas.
</P><H3><A name=
"java_proxy_classes"></A>19.4.3 Java proxy classes
</H3>
<P> A Java proxy class is generated for each structure, union or C++
class that is wrapped. The default proxy class for our previous example
protected boolean swigCMemOwn;
protected Foo(long cPtr, boolean cMemoryOwn) {
swigCMemOwn = cMemoryOwn;
protected static long getCPtr(Foo obj) {
protected void finalize() {
if(swigCPtr !=
0 && swigCMemOwn) {
exampleJNI.delete_Foo(swigCPtr);
public void setX(int x) {
exampleJNI.Foo_x_set(swigCPtr, x);
return exampleJNI.Foo_x_get(swigCPtr);
public int spam(int num, Foo foo) {
return exampleJNI.Foo_spam(swigCPtr, num, Foo.getCPtr(foo));
this(exampleJNI.new_Foo(), true);
<P> This class merely holds a pointer to the underlying C++ object (
<TT>
swigCPtr
</TT>). It also contains all the methods in the C++ class it is
proxying plus getters and setters for public member variables. These
functions call the native methods in the intermediary JNI class. The
advantage of having this extra layer is the type safety that the proxy
class functions offer. It adds static type checking which leads to
fewer surprises at runtime. For example, you can see that if you
attempt to use the
<TT>spam()
</TT> function it will only compile when
the parameters passed are an
<TT>int
</TT> and a
<TT>Foo
</TT>. From a
user's point of view, it makes the class work as if it were a Java
int y = f.spam(
5, new Foo());
<H4><A name=
"memory_management"></A>19.4.3.1 Memory management
</H4>
<P> Each proxy class has an ownership flag
<TT>swigCMemOwn
</TT>. The
value of this flag determines who is responsible for deleting the
underlying C++ object. If set to
<TT>true
</TT>, the proxy class's
finalizer will destroy the C++ object when the proxy class is garbage
collected. If set to false, then the destruction of the proxy class has
no effect on the C++ object.
</P><P> When an object is created by a constructor or returned by value,
Java automatically takes ownership of the result. On the other hand,
when pointers or references are returned to Java, there is often no way
to know where they came from. Therefore, the ownership is set to false.
Foo f = new Foo(); // f.swigCMemOwn = true
Foo f1 = f.bar1(); // f1.swigCMemOwn = true
Foo f2 = f.bar2(); // f2.swigCMemOwn = false
Foo f3 = f.bar3(); // f3.swigCMemOwn = false
<P> This behavior for pointers and references is especially important
for classes that act as containers. For example, if a method returns a
pointer to an object that is contained inside another object, you
definitely don't want Java to assume ownership and destroy it!
</P><P> For the most part, memory management issues remain hidden. However,
there are situations where you might have to manually change the
ownership of an object. For instance, consider code like this:
</P> void set_value(Obj *v) { value = v; }
<P> Now, consider the following Java code:
</P>
Node n = new Node(); // Create a node
Obj o = new Obj(); // Create an object
n.set_value(o); // Set value
<P> In this case, the Node
<TT>n
</TT> is holding a reference to
<TT>o
</TT>
internally. However, SWIG has no way to know that this has occurred.
The Java proxy class still thinks that it has ownership of
<TT>o
</TT>.
As
<TT>o
</TT> has gone out of scope, it could be garbage collected in
which case the C++ destructor will be invoked and
<TT>n
</TT> will then
be holding a stale-pointer to
<TT>o
</TT>. If you're lucky, you will
only get a segmentation fault.
</P><P> To work around this, the ownership flag of
<TT>o
</TT> needs changing
to
<TT>false
</TT>. The ownership flag is a private member variable of
the proxy class so this is not possible without some customization of
the proxy class. This is achieved using a typemap to add pure Java code
to the proxy class and is detailed later in the section on typemaps.
</P><P> Sometimes a function will create memory and return a pointer to a
newly allocated object. SWIG has no way of knowing this so by default
the proxy class does not manage the returned object. However, you can
tell the proxy class to manage the memory if you specify the
<TT>%newobject
</TT> directive. Consider:
</P> static Obj *createObj() { return new Obj(); }
<P> If we call the factory function, then we have to manually delete the
Obj obj = Factory.createObj(); // obj.swigCMemOwn = false
<P> Now add in the %newobject directive:
</P>
%newobject Factory::createObj();
static Obj *createObj() { return new Obj(); }
<P> A call to
<TT>delete()
</TT> is no longer necessary as the garbage
collector will make the C++ destructor call because
<TT>swigCMemOwn
</TT>Obj obj = Factory.createObj(); // obj.swigCMemOwn = true;
<H4><A name=
"inheritance_mirroring"></A>19.4.3.2 Inheritance
</H4>
<P> Java proxy classes will mirror C++ inheritance chains. For example,
given the base class
<TT>Base
</TT> and its derived class
<TT>Derived
</TT>class Derived : public Base {
<P> The base class is generated much like any other proxy class seen so
protected boolean swigCMemOwn;
protected Base(long cPtr, boolean cMemoryOwn) {
swigCMemOwn = cMemoryOwn;
protected static long getCPtr(Base obj) {
protected void finalize() {
if(swigCPtr !=
0 && swigCMemOwn) {
exampleJNI.delete_Base(swigCPtr);
return exampleJNI.Base_foo(swigCPtr);
this(exampleJNI.new_Base(), true);
<P> The
<TT>Derived
</TT> class extends
<TT>Base
</TT> mirroring the C++
class inheritance hierarchy.
</P>public class Derived extends Base {
protected Derived(long cPtr, boolean cMemoryOwn) {
super(exampleJNI.SWIGDerivedUpcast(cPtr), cMemoryOwn);
protected static long getCPtr(Derived obj) {
protected void finalize() {
if(swigCPtr !=
0 && swigCMemOwn) {
exampleJNI.delete_Derived(swigCPtr);
return exampleJNI.Derived_foo(swigCPtr);
this(exampleJNI.new_Derived(), true);
<P> Note the memory ownership is controlled by the base class. However
each class in the inheritance hierarchy has its own pointer value which
is obtained during construction. The
<TT>SWIGDerivedUpcast()
</TT> call
converts the pointer from a
<TT>Derived *
</TT> to a
<TT>Base *
</TT>.
This is a necessity as C++ compilers are free to implement pointers in
the inheritance hierarchy with different values.
</P><P> It is of course possible to extend
<TT>Base
</TT> using your own Java
classes. If
<TT>Derived
</TT> is provided by the C++ code, you could for
example add in a pure Java class
<TT>Extended
</TT> derived from
<TT>Base
</TT>. There is a caveat and that is any C++ code will not know
about your pure Java class
<TT>Extended
</TT> so this type of derivation
is restricted. However, true cross language polymorphism can be
achieved using the
<A href=
"#java_directors">directors
</A> feature.
</P><H4><A name=
"proxy_classes_gc"></A>19.4.3.3 Proxy classes and garbage
<P> By default each proxy class has a
<TT>delete()
</TT> and a
<TT>
finalize()
</TT> method. The
<TT>finalize()
</TT> method calls
<TT>delete()
</TT> which frees any malloc'd memory for wrapped C structs or
calls the C++ class destructors. The idea is for
<TT>delete()
</TT> to
be called when you have finished with the C/C++ object. Ideally you
need not call
<TT>delete()
</TT>, but rather leave it to the garbage
collector to call it from the finalizer. The unfortunate thing is that
Sun, in their wisdom, do not guarantee that the finalizers will be
called. When a program exits, the garbage collector does not always
call the finalizers. Depending on what the finalizers do and which
operating system you use, this may or may not be a problem.
</P><P> If the
<TT>delete()
</TT> call into JNI code is just for memory
handling, there is not a problem when run on most operating systems,
for example Windows and Unix. Say your JNI code creates memory on the
heap which your finalizers should clean up, the finalizers may or may
not be called before the program exits. In Windows and Unix all memory
that a process uses is returned to the system on exit, so this isn't a
problem. This is not the case in some operating systems like vxWorks.
If however, your finalizer calls into JNI code invoking the C++
destructor which in turn releases a TCP/IP socket for example, there is
no guarantee that it will be released. Note that with long running
programs the garbage collector will eventually run, thereby calling any
unreferenced object's finalizers.
</P><P> Some not so ideal solutions are:
</P>
<P> Call the
<TT>System.runFinalizersOnExit(true)
</TT> or
<TT>
Runtime.getRuntime().runFinalizersOnExit(true)
</TT> to ensure the
finalizers are called before the program exits. The catch is that this
is a deprecated function call as the documenation says:
</P><DIV class=
"code"><I> This method is inherently unsafe. It may result in
finalizers being called on live objects while other threads are
concurrently manipulating those objects, resulting in erratic behavior
<P>In many cases you will be lucky and find that it works, but it is not
to be advocated. Have a look at
<A href=
"http://java.sun.com">Sun's
Java web site
</A> and search for
<TT>runFinalizersOnExit
</TT>.
</P><P> From jdk1.3 onwards a new function,
<TT>addShutdownHook()
</TT>, was
introduced which is guaranteed to be called when your program exits.
You can encourage the garbage collector to call the finalizers, for
example, add this static block to the class that has the
<TT>main()
</TT> Runtime.getRuntime().addShutdownHook(
public void run() { System.gc(); System.runFinalization(); }
<P>Although this usually works, the documentation doesn't guarantee that
<TT>runFinalization()
</TT> will actually call the finalizers. As the
the shutdown hook is guaranteed you could also make a JNI call to clean
up any resources that are being tracked by the C/C++ code.
</P><P>Call the
<TT>delete()
</TT> function manually which will immediately
invoke the C++ destructor. As a suggestion it may be a good idea to set
the object to null so that should the object be inadvertantly used
again a Java null pointer exception is thrown, the alternative would
crash the JVM by using a null C pointer. For example given a SWIG
// any use of myA here would crash the JVM
// any use of myA here would cause a Java null pointer exception to be thrown
<P> The SWIG generated code ensures that the memory is not deleted
twice, in the event the finalizers get called in addition to the manual
<TT>delete()
</TT> call.
</P>
<LI> Write your own object manager in Java. You could derive all SWIG
classes from a single base class which could track which objects have
had their finalizers run, then call the rest of them on program
termination. The section on
<A href=
"#java_typemaps">Java typemaps
</A> details how to specify a pure Java base class.
</LI><H3><A name=
"type_wrapper_classes"></A>19.4.4 Type wrapper classes
</H3>
<P> The generated type wrapper class, for say an
<TT>int *
</TT>, looks
public class SWIGTYPE_p_int {
protected SWIGTYPE_p_int(long cPtr, boolean bFutureUse) {
protected SWIGTYPE_p_int() {
protected static long getCPtr(SWIGTYPE_p_int obj) {
<P> The methods do not have public access, so by default it is
impossible to do anything with objects of this class other than pass
them around. The methods in the class are part of the inner workings of
SWIG. If you need to mess around with pointers you will have to use
some typemaps specific to the Java module to achieve this. The section
on
<A href=
"#java_typemaps">Java typemaps
</A> details how to modify the
<P> Note that if you use a pointer or reference to a proxy class in a
function then no type wrapper class is generated because the proxy
class can be used as the function parameter. If however, you need
anything more complicated like a pointer to a pointer to a proxy class
then a typewrapper class is generated for your use.
</P><P> Note that SWIG generates a type wrapper class and not a proxy class
when it has not parsed the definition of a type that gets used. For
example, say SWIG has not parsed the definition of
<TT>class Snazzy
</TT> because it is in a header file that you may have forgotten to use the
<TT>%include
</TT> directive on. Should SWIG parse
<TT>Snazzy *
</TT> being
used in a function parameter, it will then generates a type wrapper
class around a
<TT>Snazzy
</TT> pointer. Also recall from earlier that
SWIG will use a pointer when a class is passed by value or by
void spam(Snazzy *x, Snazzy
&y, Snazzy z);
<P> Should SWIG not know anything about
<TT>Snazzy
</TT> then a
<TT>
SWIGTYPE_p_Snazzy
</TT> must be used for all
3 parameters in the
<TT>spam
</TT> function. The Java function generated is:
</P>public static void spam(SWIGTYPE_p_Snazzy x, SWIGTYPE_p_Snazzy y, SWIGTYPE_p_Snazzy z) {
<P> Note that typedefs are tracked by SWIG and the typedef name is used
to construct the type wrapper class name. For example, consider the
case where
<TT>Snazzy
</TT> is a typedef to an
<TT>int
</TT> which SWIG
void spam(Snazzy *x, Snazzy
&y, Snazzy z);
<P> Because the typedefs have been tracked the Java function generated
public static void spam(SWIGTYPE_p_int x, SWIGTYPE_p_int y, int z) { ... }
<H3><A name=
"enum_classes"></A>19.4.5 Enum classes
</H3>
<P> SWIG can generate three types of enum classes. The
<A href=
"#enumerations">
Enumerations
</A> section discussed these but omitted all the details.
The following sub-sections detail the various types of enum classes
that can be generated.
</P><H4><A name=
"typesafe_enums_classes"></A>19.4.5.1 Typesafe enum classes
</H4>
<P> The following example demonstrates the typesafe enum classes which
%include
"enumtypesafe.swg
"enum Beverage { ALE, LAGER=
10, STOUT, PILSNER };
<P> The following is what SWIG generates:
</P>
public final class Beverage {
public final static Beverage ALE = new Beverage(
"ALE
");
public final static Beverage LAGER = new Beverage(
"LAGER
",
10);
public final static Beverage STOUT = new Beverage(
"STOUT
");
public final static Beverage PILSNER = new Beverage(
"PILSNER
");
public final int swigValue() {
public String toString() {
public static Beverage swigToEnum(int swigValue) {
if (swigValue
< swigValues.length
&& swigValue
>=
0 && swigValues[swigValue].swigValue == swigValue)
return swigValues[swigValue];
for (int i =
0; i
< swigValues.length; i++)
if (swigValues[i].swigValue == swigValue)
throw new IllegalArgumentException(
"No enum
" + Beverage.class +
" with value
" +
private Beverage(String swigName) {
this.swigName = swigName;
this.swigValue = swigNext++;
private Beverage(String swigName, int swigValue) {
this.swigName = swigName;
this.swigValue = swigValue;
private static Beverage[] swigValues = { ALE, LAGER, STOUT, PILSNER };
private static int swigNext =
0;
private final int swigValue;
private final String swigName;
<P> As can be seen, there a fair number of support methods for the
typesafe enum pattern. The typesafe enum pattern involves creating a
fixed number of static instances of the enum class. The constructors
are private to enforce this. Two constructors are available - one for
C/C++ enums with an initializer and one for those without an
initializer. In order to use one of these typesafe enums, the
<TT>swigToEnum
</TT> static method must be called to return a reference to
one of the static instances. The JNI layer returns the enum value from
the C/C++ world as an integer and this method is used to find the
appropriate Java enum static instance. The
<TT>swigValue
</TT> method is
used for marshalling in the other direction. The
<TT>toString
</TT> method is overridden so that the enum name is available.
</P><H4><A name=
"proper_enums_classes"></A>19.4.5.2 Proper Java enum classes
</H4>
<P> The following example demonstrates the Java enums approach:
</P>
%include
"enums.swg
"enum Beverage { ALE, LAGER=
10, STOUT, PILSNER };
<P> SWIG will generate the following Java enum:
</P>
public final int swigValue() {
public static Beverage swigToEnum(int swigValue) {
Beverage[] swigValues = Beverage.class.getEnumConstants();
if (swigValue
< swigValues.length
&& swigValue
>=
0 && swigValues[swigValue].swigValue == swigValue)
return swigValues[swigValue];
for (Beverage swigEnum : swigValues)
if (swigEnum.swigValue == swigValue)
throw new IllegalArgumentException(
"No enum
" + Beverage.class +
" with value
" + swigValue);
this.swigValue = SwigNext.next++;
private Beverage(int swigValue) {
this.swigValue = swigValue;
SwigNext.next = swigValue+
1;
private final int swigValue;
private static class SwigNext {
private static int next =
0;
<P> The enum items appear first. Like the typesafe enum pattern, the
constructors are private. The constructors are required to handle C/C++
enums with initializers. The
<TT>next
</TT> variable is in the
<TT>SwigNext
</TT> inner class rather than in the enum class as static
primitive variables cannot be modified from within enum constructors.
Marshalling between Java enums and the C/C++ enum integer value is
handled via the
<TT>swigToEnum
</TT> and
<TT>swigValue
</TT> methods. All
the constructors and methods in the Java enum are required just to
handle C/C++ enums with initializers. These needn't be generated if the
enum being wrapped does not have any initializers and the
<A href=
"#simpler_enum_classes">Simpler Java enums for enums without initializers
</A> section describes
how typemaps can be used to achieve this.
</P><H4><A name=
"typeunsafe_enums_classes"></A>19.4.5.3 Type unsafe enum
<P> The following example demonstrates type unsafe enums:
</P>
%include
"enumtypeunsafe.swg
"enum Beverage { ALE, LAGER=
10, STOUT, PILSNER };
<P> SWIG will generate the following simple class:
</P>
public final class Beverage {
public final static int ALE =
0;
public final static int LAGER =
10;
public final static int STOUT = LAGER +
1;
public final static int PILSNER = STOUT +
1;
<H2><A name=
"java_directors"></A>19.5 Cross language polymorphism using
directors (experimental)
</H2><P> Proxy classes provide a natural, object-oriented way to wrap C++
classes. as described earlier, each proxy instance has an associated
C++ instance, and method calls from Java to the proxy are passed to the
C++ instance transparently via C wrapper functions.
</P><P> This arrangement is asymmetric in the sense that no corresponding
mechanism exists to pass method calls down the inheritance chain from
C++ to Java. In particular, if a C++ class has been extended in Java
(by deriving from the proxy class), these classes will not be visible
from C++ code. Virtual method calls from C++ are thus not able to
access the lowest implementation in the inheritance chain.
</P><P> SWIG can address this problem and make the relationship between C++
classes and proxy classes more symmetric. To achieve this goal, new
classes called directors are introduced at the bottom of the C++
inheritance chain. The job of the directors is to route method calls
correctly, either to C++ implementations higher in the inheritance
chain or to Java implementations lower in the inheritance chain. The
upshot is that C++ classes can be extended in Java and from C++ these
extensions look exactly like native C++ classes. Neither C++ code nor
Java code needs to know where a particular method is implemented: the
combination of proxy classes, director classes, and C wrapper functions
transparently takes care of all the cross-language method routing.
</P><H3><A name=
"java_enabling_directors"></A>19.5.1 Enabling directors
</H3>
<P> The director feature is disabled by default. To use directors you
must make two changes to the interface file. First, add the
"directors
" option to the %module directive, like this:
</P>%module(directors=
"1") modulename
<P> Without this option no director code will be generated. Second, you
must use the %feature(
"director
") directive to tell SWIG which classes
and methods should get directors. The %feature directive can be applied
globally, to specific classes, and to specific methods, like this:
</P>// generate directors for all classes that have virtual methods
%feature(
"director
");
// generate directors for all virtual methods in class Foo
%feature(
"director
") Foo;
// generate a director for just Foo::bar()
%feature(
"director
") Foo::bar;
<P> You can use the %feature(
"nodirector
") directive to turn off
directors for specific classes or methods. So for example,
</P>%feature(
"director
") Foo;
%feature(
"nodirector
") Foo::bar;
<P> will generate directors for all virtual methods of class Foo except
<P> Directors can also be generated implicitly through inheritance. In
the following, class Bar will get a director class that handles the
methods one() and two() (but not three()):
</P>%feature(
"director
") Foo;
<H3><A name=
"java_directors_classes"></A>19.5.2 Director classes
</H3>
<P> For each class that has directors enabled, SWIG generates a new
class that derives from both the class in question and a special
<TT>Swig::Director
</TT> class. These new classes, referred to as director
classes, can be loosely thought of as the C++ equivalent of the Java
proxy classes. The director classes store a pointer to their underlying
<P> For simplicity let's ignore the
<TT>Swig::Director
</TT> class and
refer to the original C++ class as the director's base class. By
default, a director class extends all virtual methods in the
inheritance chain of its base class (see the preceding section for how
to modify this behavior). Thus all virtual method calls, whether they
originate in C++ or in Java via proxy classes, eventually end up in at
the implementation in the director class. The job of the director
methods is to route these method calls to the appropriate place in the
inheritance chain. By
"appropriate place
" we mean the method that would
have been called if the C++ base class and its Java derived classes
were seamlessly integrated. That seamless integration is exactly what
the director classes provide, transparently skipping over all the messy
JNI glue code that binds the two languages together.
</P><P> In reality, the
"appropriate place
" is one of only two
possibilities: C++ or Java. Once this decision is made, the rest is
fairly easy. If the correct implementation is in C++, then the lowest
implementation of the method in the C++ inheritance chain is called
explicitly. If the correct implementation is in Java, the Java API is
used to call the method of the underlying Java object (after which the
usual virtual method resolution in Java automatically finds the right
<H3><A name=
"java_directors_overhead"></A>19.5.3 Overhead and code bloat
</H3>
<P> Enabling directors for a class will generate a new director method
for every virtual method in the class' inheritance chain. This alone
can generate a lot of code bloat for large hierarchies. Method
arguments that require complex conversions to and from Java types can
result in large director methods. For this reason it is recommended
that directors are selectively enabled only for specific classes that
are likely to be extended in Java and used in C++.
</P><P> Although directors make it natural to mix native C++ objects with
Java objects (as director objects), one should be aware of the obvious
fact that method calls to Java objects from C++ will be much slower
than calls to C++ objects. Additionally, compared to classes that do
not use directors, the call routing in the director methods adds a
small overhead. This situation can be optimized by selectively enabling
director methods (using the %feature directive) for only those methods
that are likely to be extended in Java.
</P><H3><A name=
"java_directors_example"></A>19.5.4 Simple directors example
</H3>
<P> Consider the following SWIG interface file:
</P>
%module(directors=
"1") example;
%feature(
"director
") DirectorBase;
virtual ~DirectorBase() {}
virtual void upcall_method() {}
void callup(DirectorBase *director) {
director-
>upcall_method();
<P> The following
<CODE>directorDerived
</CODE> Java class is derived
from the Java proxy class
<CODE>DirectorBase
</CODE> and overrides
<CODE>upcall_method()
</CODE>. When C++ code invokes
<CODE>upcall_method()
</CODE>, the SWIG-generated C++ code redirects the call via JNI to the Java
<CODE>directorDerived
</CODE> subclass. Naturally, the SWIG generated C++ code
and the generated Java intermediate class marshall and convert
arguments between C++ and Java when needed.
</P>public class directorDerived extends DirectorBase {
public directorDerived() {
public void upcall_method() {
System.out.println(
"directorDerived::upcall_method() invoked.
");
<P> Running the following Java code
</P>
directorDerived director = new directorDerived();
example.callup(director);
<P> will result in the following being output:
</P>
directorDerived::upcall_method() invoked.
<H2><A name=
"common_customization"></A>19.6 Common customization
<P> An earlier section presented the absolute basics of C/C++ wrapping.
If you do nothing but feed SWIG a header file, you will get an
interface that mimics the behavior described. However, sometimes this
isn't enough to produce a nice module. Certain types of functionality
might be missing or the interface to certain functions might be
awkward. This section describes some common SWIG features that are used
to improve the interface to existing C/C++ code.
</P><H3><A name=
"helper_functions"></A>19.6.1 C/C++ helper functions
</H3>
<P> Sometimes when you create a module, it is missing certain bits of
functionality. For example, if you had a function like this
</P>typedef struct Image {...};
void set_transform(Image *im, double m[
4][
4]);
<P> it would be accessible from Java, but there may be no easy way to
call it. The problem here is that a type wrapper class is generated for
the two dimensional array parameter so there is no easy way to
construct and manipulate a suitable
<TT>double [
4][
4]
</TT> value. To
fix this, you can write some extra C helper functions. Just use the
<TT>%inline
</TT> directive. For example:
</P>/* Note: double[
4][
4] is equivalent to a pointer to an array double (*)[
4] */
double (*new_mat44())[
4] {
return (double (*)[
4]) malloc(
16*sizeof(double));
void free_mat44(double (*x)[
4]) {
void mat44_set(double x[
4][
4], int i, int j, double v) {
double mat44_get(double x[
4][
4], int i, int j) {
<P> From Java, you could then write code like this:
</P>
SWIGTYPE_p_a_4__double a = example.new_mat44();
example.mat44_set(a,
0,
0,
1.0);
example.mat44_set(a,
1,
1,
1.0);
example.mat44_set(a,
2,
2,
1.0);
example.set_transform(im,a);
<P> Admittedly, this is not the most elegant looking approach. However,
it works and it wasn't too hard to implement. It is possible to improve
on this using Java code, typemaps, and other customization features as
covered in later sections, but sometimes helper functions are a quick
and easy solution to difficult cases.
</P><H3><A name=
"class_extension"></A>19.6.2 Class extension with %extend
</H3>
<P> One of the more interesting features of SWIG is that it can extend
structures and classes with new methods or constructors. Here is a
#include
"someheader.h
" sprintf(tmp,
"Vector(%g,%g,%g)
", self-
>x,self-
>y,self-
>z);
Vector(double x, double y, double z) {
Vector *v = (Vector *) malloc(sizeof(Vector));
Vector v = new Vector(
2,
3,
4);
<P> <TT>%extend
</TT> works with both C and C++ code. It does not modify
the underlying object in any way---the extensions only show up in the
<H3><A name=
"exception_handling"></A>19.6.3 Exception handling with
%exception and %javaexception
</H3><P> If a C or C++ function throws an error, you may want to convert that
error into a Java exception. To do this, you can use the
<TT>%exception
</TT> directive. The
<TT>%exception
</TT> directive simply lets you rewrite
part of the generated wrapper code to include an error check. It is
detailed in full in the
<A href=
"#exception">Exception handling with
%exception
</A> section.
</P><P> In C, a function often indicates an error by returning a status code
(a negative number or a NULL pointer perhaps). Here is a simple example
of how you might handle that:
</P> jclass clazz = (*jenv)-
>FindClass(jenv,
"java/lang/OutOfMemoryError
");
(*jenv)-
>ThrowNew(jenv, clazz,
"Not enough memory
");
void *malloc(size_t nbytes);
SWIGTYPE_p_void a = example.malloc(
2000000000);
<P> will produce a familiar looking Java exception:
</P>
Exception in thread
"main
" java.lang.OutOfMemoryError: Not enough memory
at exampleJNI.malloc(Native Method)
at example.malloc(example.java:
16)
at main.main(main.java:
112)
<P> If a library provides some kind of general error handling framework,
you can also use that. For example:
</P> jclass clazz = (*jenv)-
>FindClass(jenv,
"java/lang/OutOfMemoryError
");
(*jenv)-
>ThrowNew(jenv, clazz,
"Not enough memory
");
void *malloc(size_t nbytes);
<P> No declaration name is given to
<TT>%exception
</TT>, it is applied
to all wrapper functions. The
<TT>$action
</TT> is a SWIG special
variable and is replaced by the C/C++ function call being wrapped. The
<TT>return $null;
</TT> handles all native method return types, namely those
that have a void return and those that do not. This is useful for
typemaps that will be used in native method returning all return types.
See the section on
<A href=
"#special_variables">Java special variables
</A> for further explanation.
</P><P> C++ exceptions are also easy to handle. We can catch the C++
exception and rethrow it as a Java exception like this:
</P> } catch (std::out_of_range
&e) {
jclass clazz = jenv-
>FindClass(
"java/lang/Exception
");
jenv-
>ThrowNew(clazz,
"Range error
");
FooClass *getitem(int index); // Might throw std::out_of_range exception
<P> In the example above,
<TT>java.lang.Exception
</TT> is a checked
exception class and so ought to be declared in the throws clause of
<TT>getitem
</TT>. Classes can be specified for adding to the throws clause
using
<TT>%javaexception(classes)
</TT> instead of
<TT>%exception
</TT>,
where
<TT>classes
</TT> is a string containing one or more comma
separated Java classes. The
<TT>%nojavaexception
</TT> feature is the
equivalent to
<TT>%noexception
</TT> and clears previously declared
%javaexception(
"java.lang.Exception
") getitem {
} catch (std::out_of_range
&e) {
jclass clazz = jenv-
>FindClass(
"java/lang/Exception
");
jenv-
>ThrowNew(clazz,
"Range error
");
FooClass *getitem(int index); // Might throw std::out_of_range exception
<P> The generated proxy method now generates a throws clause containing
<TT>
java.lang.Exception
</TT>:
</P> public FooClass getitem(int index) throws java.lang.Exception { ... }
<P> The examples above first use the C JNI calling syntax then the C++
JNI calling syntax. The C++ calling syntax will not compile as C and
also visa versa. It is however possible to write JNI calls which will
compile under both C and C++ and is covered in the
<A href=
"#typemaps_for_c_and_c++">Typemaps for both C and C++ compilation
</A> section.
</P><P> The language-independent
<TT>exception.i
</TT> library file can also
be used to raise exceptions. See the
<A href=
"#Library">SWIG Library
</A> chapter. The typemap example
<A href=
"#exception_typemap">Handling C++
exception specifications as Java exceptions
</A> provides further
exception handling capabilities.
</P><H3><A name=
"method_access"></A>19.6.4 Method access with
%javamethodmodifiers
</H3><P> A Java feature called
<TT>%javamethodmodifiers
</TT> can be used to
change the method modifiers from the default
<TT>public
</TT>. It
applies to both module class methods and proxy class methods. For
%javamethodmodifiers protect_me()
"protected
";
<P> Will produce the method in the module class with protected access.
</P>
protected static void protect_me() {
<H2><A name=
"tips_techniques"></A>19.7 Tips and techniques
</H2>
<P> Although SWIG is largely automatic, there are certain types of
wrapping problems that require additional user input. Examples include
dealing with output parameters, strings and arrays. This chapter
discusses the common techniques for solving these problems.
</P><H3><A name=
"input_output_parameters"></A>19.7.1 Input and output
parameters using primitive pointers and references
</H3><P> A common problem in some C programs is handling parameters passed as
simple pointers or references. For example:
</P>void add(int x, int y, int *result) {
int sub(int *x, int *y) {
<P> The
<TT>typemaps.i
</TT> library file will help in these situations.
%include
"typemaps.i
"void add(int, int, int *OUTPUT);
int sub(int *INPUT, int *INPUT);
<P> In Java, this allows you to pass simple values. For example:
</P>
int result = example.sub(
7,
4);
System.out.println(
"7 -
4 =
" + result);
System.out.println(
"3 +
4 =
" + sum[
0]);
<P> Which will display:
</P>
<P> Notice how the
<TT>INPUT
</TT> parameters allow integer values to be
passed instead of pointers and how the
<TT>OUTPUT
</TT> parameter will
return the result in the first element of the integer array.
</P><P> If you don't want to use the names
<TT>INPUT
</TT> or
<TT>OUTPUT
</TT>
, use the
<TT>%apply
</TT> directive. For example:
</P>%include
"typemaps.i
"%apply int *OUTPUT { int *result };
%apply int *INPUT { int *x, int *y};
void add(int x, int y, int *result);
<P> If a function mutates one of its parameters like this,
</P>
<P> you can use
<TT>INOUT
</TT> like this:
</P>
%include
"typemaps.i
"<P> In Java, the input parameter is the first element in a
1 element
array and is replaced by the output of the function. For example:
</P>System.out.println(
"Negative of
3 =
" + neg[
0]);
<P> And no prizes for guessing the output:
</P>
<P> These typemaps can also be applied to C++ references. The above
examples would work the same if they had been defined using references
instead of pointers. For example, the Java code to use the
<TT>negate
</TT> function would be the same if it were defined either as it is above:
</P><P> or using a reference:
</P>
void negate(int
&INOUT);
<P> Note: Since most Java primitive types are immutable and are passed
by value, it is not possible to perform in-place modification of a type
passed as a parameter.
</P><P> Be aware that the primary purpose of the
<TT>typemaps.i
</TT> file is
to support primitive datatypes. Writing a function like this
</P><P> will not have the intended effect since
<TT>typemaps.i
</TT> does not
define an OUTPUT rule for
<TT>Bar
</TT>.
</P><H3><A name=
"simple_pointers"></A>19.7.2 Simple pointers
</H3>
<P> If you must work with simple pointers such as
<TT>int *
</TT> or
<TT>
double *
</TT> another approach to using
<TT>typemaps.i
</TT> is to use
the
<TT>cpointer.i
</TT> pointer library file. For example:
</P>%include
"cpointer.i
"extern void add(int x, int y, int *result);
%pointer_functions(int, intp);
<P> The
<TT>%pointer_functions(type,name)
</TT> macro generates five
helper functions that can be used to create, destroy, copy, assign, and
dereference a pointer. In this case, the functions are as follows:
</P>void delete_intp(int *x);
void intp_assign(int *x, int value);
<P> In Java, you would use the functions like this:
</P>
SWIGTYPE_p_int intPtr = example.new_intp();
int result = example.intp_value(intPtr);
System.out.println(
"3 +
4 =
" + result);
<P> If you replace
<TT>%pointer_functions(int,intp)
</TT> by
<TT>
%pointer_class(int,intp)
</TT>, the interface is more class-like.
</P>intp intPtr = new intp();
example.add(
3,
4,intPtr.cast());
int result = intPtr.value();
System.out.println(
"3 +
4 =
" + result);
<P> See the
<A href=
"#Library">SWIG Library
</A> chapter for further
<H3><A name=
"c_arrays"></A>19.7.3 Wrapping C arrays with Java arrays
</H3>
<P> SWIG can wrap arrays in a more natural Java manner than the default
by using the
<TT>arrays_java.i
</TT> library file. Let's consider an
%include
"arrays_java.i
";
<P> These one dimensional arrays can then be used as if they were Java
int[] array = new int[
4];
System.out.print(
"array:
");
for (int i=
0; i
<array.length; i++)
System.out.print(array[i] +
" ");
int[] global_array = example.getArray();
System.out.print(
"\nglobal_array:
");
for (int i=
0; i
<array.length; i++)
System.out.print(global_array[i] +
" ");
<P> Java arrays are always passed by reference, so any changes a
function makes to the array will be seen by the calling function. Here
is the output after running this code:
</P>global_array:
100 101 102 103<P> Note that for assigning array variables the length of the C variable
is used, so it is possible to use a Java array that is bigger than the
C code will cope with. Only the number of elements in the C array will
be used. However, if the Java array is not large enough then you are
likely to get a segmentation fault or access violation, just like you
would in C. When arrays are used in functions like
<TT>populate
</TT>,
the size of the C array passed to the function is determined by the
size of the Java array.
</P><P> Please be aware that the typemaps in this library are not efficient
as all the elements are copied from the Java array to a C array
whenever the array is passed to and from JNI code. There is an
alternative approach using the SWIG array library and this is covered
<H3><A name=
"unbounded_c_arrays"></A>19.7.4 Unbounded C Arrays
</H3>
<P> Sometimes a C function expects an array to be passed as a pointer.
int sumitems(int *first, int nitems) {
for (i =
0; i
< nitems; i++) {
<P> One of the ways to wrap this is to apply the Java array typemaps
that come in the
<TT>arrays_java.i
</TT> library file:
</P>%include
"arrays_java.i
"<P> The
<TT>ANY
</TT> size will ensure the typemap is applied to arrays
of all sizes. You could narrow the typemap matching rules by specifying
a particular array size. Now you can use a pure Java array and pass it
int[] array = new int[
10000000]; // Array of
10-million integers
for (int i=
0; i
<array.length; i++) { // Set some values
int sum = example.sumitems(array,
10000);
System.out.println(
"Sum =
" + sum);
<P> and the sum would be displayed:
</P>
<P> This approach is probably the most natural way to use arrays.
However, it suffers from performance problems when using large arrays
as a lot of copying of the elements occurs in transferring the array
from the Java world to the C++ world. An alternative approach to using
Java arrays for C arrays is to use an alternative SWIG library file
<TT>carrays.i
</TT>. This approach can be more efficient for large arrays as
the array is accessed one element at a time. For example:
</P>%include
"carrays.i
"%array_functions(int, intArray);
<P> The
<TT>%array_functions(type,name)
</TT> macro generates four helper
functions that can be used to create and destroy arrays and operate on
elements. In this case, the functions are as follows:
</P>int *new_intArray(int nelements);
void delete_intArray(int *x);
int intArray_getitem(int *x, int index);
void intArray_setitem(int *x, int index, int value);
<P> In Java, you would use the functions like this:
</P>
SWIGTYPE_p_int array = example.new_intArray(
10000000); // Array of
10-million integers
<!--10000; i++) { // Set some values
example.intArray_setitem(array,i,i);
int sum = example.sumitems(array,10000);
System.out.println("Sum = " + sum);
<P> If you replace
<TT>%array_functions(int,intp)
</TT> by
<TT>
%array_class(int,intp)
</TT>, the interface is more class-like and a
couple more helper functions are available for casting between the
array and the type wrapper class.
</P>%include
"carrays.i
"%array_class(int, intArray);
<P> The
<TT>%array_class(type, name)
</TT> macro creates wrappers for an
unbounded array object that can be passed around as a simple pointer
like
<TT>int *
</TT> or
<TT>double *
</TT>. For instance, you will be
able to do this in Java:
</P>intArray array = new intArray(
10000000); // Array of
10-million integers
<!--10000; i++) { // Set some values
int sum = example.sumitems(array.cast(),10000);
System.out.println("Sum = " + sum);
<P> The array
"object
" created by
<TT>%array_class()
</TT> does not
encapsulate pointers inside a special array object. In fact, there is
no bounds checking or safety of any kind (just like in C). Because of
this, the arrays created by this library are extremely low-level
indeed. You can't iterate over them nor can you even query their
length. In fact, any valid memory address can be accessed if you want
(negative indices, indices beyond the end of the array, etc.). Needless
to say, this approach is not going to suit all applications. On the
other hand, this low-level approach is extremely efficient and well
suited for applications in which you need to create buffers, package
<H2><A name=
"java_typemaps"></A>19.8 Java typemaps
</H2>
<P> This section describes how you can modify SWIG's default wrapping
behavior for various C/C++ datatypes using the
<TT>%typemap
</TT> directive. You are advised to be familiar with the the material in the
"<A href=
"#Typemaps">Typemaps
</A>" chapter. While not absolutely
essential knowledge, this section assumes some familiarity with the
Java Native Interface (JNI). JNI documentation can be consulted either
online at
<A href=
"http://java.sun.com">Sun's Java web site
</A> or from
a good JNI book. The following two books are recommended:
</P><LI> Title: 'Essential JNI: Java Native Interface.' Author: Rob Gordon.
Publisher: Prentice Hall. ISBN:
0-
13-
679895-
0.
</LI><LI> Title: 'The Java Native Interface: Programmer's Guide and
Specification.' Author: Sheng Liang. Publisher: Addison-Wesley. ISBN:
<P> Before proceeding, it should be stressed that typemaps are not a
required part of using SWIG---the default wrapping behavior is enough
in most cases. Typemaps are only used if you want to change some aspect
of the generated code.
</P><H3><A name=
"default_primitive_type_mappings"></A>19.8.1 Default
primitive type mappings
</H3><P> The following table lists the default type mapping from Java to
<TABLE BORDER
summary=
"Default primitive type mappings">
<TR><TD><B>C/C++ type
</B></TD><TD><B>Java type
</B></TD><TD><B>JNI type
</B>
<BR> const bool
&</TD><TD>boolean
</TD><TD>jboolean
</TD></TR>
<BR>const char
&</TD><TD>char
</TD><TD>jchar
</TD></TR>
<BR>const signed char
&</TD><TD>byte
</TD><TD>jbyte
</TD></TR>
<BR>const unsigned char
&</TD><TD>short
</TD><TD>jshort
</TD></TR>
<BR>const short
&</TD><TD>short
</TD><TD>jshort
</TD></TR>
<BR> const unsigned short
&</TD><TD>int
</TD><TD>jint
</TD></TR>
<BR> const int
&</TD><TD>int
</TD><TD>jint
</TD></TR>
<BR> const unsigned int
&</TD><TD>long
</TD><TD>jlong
</TD></TR>
<BR>const long
&</TD><TD>int
</TD><TD>jint
</TD></TR>
<BR>const unsigned long
&</TD><TD>long
</TD><TD>jlong
</TD></TR>
<BR> const long long
&</TD><TD>long
</TD><TD>jlong
</TD></TR>
<TR><TD>unsigned long long
<BR>const unsigned long long
&</TD><TD>java.math.BigInteger
</TD><TD>
<BR>const float
&</TD><TD>float
</TD><TD>jfloat
</TD></TR>
<BR> const double
&</TD><TD>double
</TD><TD>jdouble
</TD></TR>
<BR>char []
</TD><TD>String
</TD><TD>jstring
</TD></TR>
<P> Note that SWIG wraps the C
<TT>char
</TT> type as a character.
Pointers and arrays of this type are wrapped as strings. The
<TT>signed
char
</TT> type can be used if you want to treat
<TT>char
</TT> as a
signed number rather than a character. Also note that all const
references to primitive types are treated as if they are passed by
<P> Given the following C function:
</P>
void func(unsigned short a, char *b, const long
&c, unsigned long long d);
<P> The module class method would be:
</P>
public static void func(int a, String b, int c, java.math.BigInteger d) {...}
<P> The intermediary JNI class would use the same types:
</P>
public final static native void func(int jarg1, String jarg2, int jarg3,
java.math.BigInteger jarg4);
<P> and the JNI function would look like this:
</P>
JNIEXPORT void JNICALL Java_exampleJNI_func(JNIEnv *jenv, jclass jcls,
jint jarg1, jstring jarg2, jint jarg3, jobject jarg4) {...}
<P> The mappings for C
<TT>int
</TT> and C
<TT>long
</TT> are appropriate
for
32 bit applications which are used in the
32 bit JVMs. There is no
perfect mapping between Java and C as Java doesn't support all the
unsigned C data types. However, the mappings allow the full range of
values for each C type from Java.
</P><H3><A name=
"jvm64"></A>19.8.2 Sixty four bit JVMs
</H3>
<P> If you are using a
64 bit JVM you may have to override the C long,
but probably not C int default mappings. Mappings will be system
dependent, for example long will need remapping on Unix LP64 systems
(long, pointer
64 bits, int
32 bits), but not on Microsoft
64 bit
Windows which will be using a P64 IL32 (pointer
64 bits and int, long
32 bits) model. This may be automated in a future version of SWIG. Note
that the Java write once run anywhere philosophy holds true for all
pure Java code when moving to a
64 bit JVM. Unfortunately it won't of
course hold true for JNI code.
</P><H3><A name=
"what_is_typemap"></A>19.8.3 What is a typemap?
</H3>
<P> A typemap is nothing more than a code generation rule that is
attached to a specific C datatype. For example, to convert integers
from Java to C, you might define a typemap like this:
</P> printf(
"Received an integer : %d\n
", $
1);
extern int fact(int nonnegative);
<P> Typemaps are always associated with some specific aspect of code
generation. In this case, the
"in
" method refers to the conversion of
input arguments to C/C++. The datatype
<TT>int
</TT> is the datatype to
which the typemap will be applied. The supplied C code is used to
convert values. In this code a number of special variables prefaced by
a
<TT>$
</TT> are used. The
<TT>$
1</TT> variable is a placeholder for a
local variable of type
<TT>int
</TT>. The
<TT>$input
</TT> variable
contains the Java data, the JNI
<TT>jint
</TT> in this case.
</P><P> When this example is compiled into a Java module, it can be used as
System.out.println(example.fact(
6));
<P> and the output will be:
</P>
<P> In this example, the typemap is applied to all occurrences of the
<TT>
int
</TT> datatype. You can refine this by supplying an optional
parameter name. For example:
</P>%typemap(in) int nonnegative {
printf(
"Received an integer : %d\n
", $
1);
extern int fact(int nonnegative);
<P> In this case, the typemap code is only attached to arguments that
exactly match
<TT>int nonnegative
</TT>.
</P><P> The application of a typemap to specific datatypes and argument
names involves more than simple text-matching--typemaps are fully
integrated into the SWIG C++ type-system. When you define a typemap for
<TT>int
</TT>, that typemap applies to
<TT>int
</TT> and qualified
variations such as
<TT>const int
</TT>. In addition, the typemap system
follows
<TT>typedef
</TT> declarations. For example:
</P>%typemap(in) int nonnegative {
printf(
"Received an integer : %d\n
", $
1);
extern int fact(Integer nonnegative); // Above typemap is applied
<P> However, the matching of
<TT>typedef
</TT> only occurs in one
direction. If you defined a typemap for
<TT>Integer
</TT>, it is not
applied to arguments of type
<TT>int
</TT>.
</P><P> Typemaps can also be defined for groups of consecutive arguments.
%typemap(in) (char *str, int len) {
int count(char c, char *str, int len);
<P> When a multi-argument typemap is defined, the arguments are always
handled as a single Java parameter. This allows the function to be used
like this (notice how the length parameter is omitted):
</P>int c = example.count('e',
"Hello World
");
<H3><A name=
"typemaps_c_to_java_types"></A>19.8.4 Typemaps for mapping
C/C++ types to Java types
</H3><P> The typemaps available to the Java module include the common
typemaps listed in the main typemaps section. There are a number of
additional typemaps which are necessary for using SWIG with Java. The
most important of these implement the mapping of C/C++ types to Java
<TABLE BORDER
summary=
"Typemap mappings for C/C++ types to Java types">
<TR><TD><B>Typemap
</B></TD><TD><B>Description
</B></TD></TR>
<TR><TD>jni
</TD><TD>JNI C types. These provide the default mapping of
types from C/C++ to JNI for use in the JNI (C/C++) code.
</TD></TR><TR><TD>jtype
</TD><TD>Java intermediary types. These provide the default
mapping of types from C/C++ to Java for use in the native functions in
the intermediary JNI class. The type must be the equivalent Java type
for the JNI C type specified in the
"jni
" typemap.
</TD></TR><TR><TD>jstype
</TD><TD>Java types. These provide the default mapping of
types from C/C++ to Java for use in the Java module class, proxy
classes and type wrapper classes.
</TD></TR><TR><TD>javain
</TD><TD>Conversion from jstype to jtype. These are Java
code typemaps which transform the type used in the Java module class,
proxy classes and type wrapper classes (as specified in the
"jstype
" typemap) to the type used in the Java intermediary JNI class (as
specified in the
"jtype
" typemap). In other words the typemap provides
the conversion to the native method call parameter types.
</TD></TR><TR><TD>javaout
</TD><TD>Conversion from jtype to jstype. These are Java
code typemaps which transform the type used in the Java intermediary
JNI class (as specified in the
"jtype
" typemap) to the Java type used
in the Java module class, proxy classes and type wrapper classes (as
specified in the
"jstype
" typemap). In other words the typemap provides
the conversion from the native method call return type.
</TD></TR><TR><TD>javadirectorin
</TD><TD>Conversion from jtype to jstype for
director methods. These are Java code typemaps which transform the type
used in the Java intermediary JNI class (as specified in the
"jtype
" typemap) to the Java type used in the Java module class, proxy classes
and type wrapper classes (as specified in the
"jstype
" typemap). This
typemap provides the conversion for the parameters in the director
methods when calling up from C++ to Java. See
<A href=
"#java_directors_typemaps">Director typemaps
</A>.
</TD></TR><TR><TD>javadirectorout
</TD><TD>Conversion from jstype to jtype for
director methods. These are Java code typemaps which transform the type
used in the Java module class, proxy classes and type wrapper classes
(as specified in the
"jstype
" typemap) to the type used in the Java
intermediary JNI class (as specified in the
"jtype
" typemap). This
typemap provides the conversion for the return type in the director
methods when returning from the C++ to Java upcall. See
<A href=
"#java_directors_typemaps">Director typemaps
</A>.
</TD></TR><TR><TD>directorin
</TD><TD>Conversion from C++ type to jni type for
director methods. These are C++ typemaps which converts the parameters
used in the C++ director method to the appropriate JNI intermediary
type. The conversion is done in JNI code prior to calling the Java
function from the JNI code. See
<A href=
"#java_directors_typemaps">Director typemaps
</A>.
</TD></TR><P> If you are writing your own typemaps to handle a particular type,
you will normally have to write a collection of them. The default
typemaps are in
"<TT>java.swg
</TT>" and so might be a good place for
finding typemaps to base any new ones on.
</P><P> The
"jni
",
"jtype
" and
"jstype
" typemaps are usually defined
together to handle the Java to C/C++ type mapping. An
"in
" typemap
should be accompanied by a
"javain
" typemap and likewise an
"out
" typemap by a
"javaout
" typemap. If an
"in
" typemap is written, a
"freearg
" and
"argout
" typemap may also need to be written as some
types have a default
"freearg
" and/or
"argout
" typemap which may need
overriding. The
"freearg
" typemap sometimes releases memory allocated
by the
"in
" typemap. The
"argout
" typemap sometimes sets values in
function parameters which are passed by reference in Java.
</P><P> The default code generated by SWIG for the Java module comes from
the typemaps in the
"<TT>java.swg
</TT>" library file which implements
the
<A href=
"#default_primitive_type_mappings">Default primitive type
mappings
</A> covered earlier. There are other type mapping typemaps in
the Java library. These are listed below:
</P><TABLE BORDER
summary=
"Java library typemap mappings">
<TR VALIGN=
"TOP"><TD><B>C Type
</B></TD><TD><B>Typemap
</B></TD><TD><B>
File
</B></TD><TD><B>Kind
</B></TD><TD><B>Java Type
</B></TD><TD><B><TR><TD>primitive pointers and references
</TD><TD>INPUT
</TD><TD>
typemaps.i
</TD><TD>input
</TD><TD>Java basic types
</TD><TD>Allows values
to be used for C functions taking pointers for data input.
</TD></TR><TR><TD>primitive pointers and references
</TD><TD>OUTPUT
</TD><TD>
typemaps.i
</TD><TD>output
</TD><TD>Java basic type arrays
</TD><TD>Allows
values held within an array to be used for C functions taking pointers
for data output.
</TD></TR><TR><TD>primitive pointers and references
</TD><TD>INOUT
</TD><TD>
<BR>output
</TD><TD>Java basic type arrays
</TD><TD>Allows values held
within an array to be used for C functions taking pointers for data
input and output.
</TD></TR><BR> wstring
</TD><TD>[unnamed]
</TD><TD>std_string.i
</TD><TD>input
<BR> output
</TD><TD>String
</TD><TD>Use for std::string mapping to Java
<TR><TD>arrays of primitive types
</TD><TD>[unnamed]
</TD><TD>
arrays_java.i
</TD><TD>input
<BR> output
</TD><TD>arrays of primitive Java types
</TD><TD>Use for
mapping C arrays to Java arrays.
</TD></TR><TR><TD>arrays of classes/structs/unions
</TD><TD>JAVA_ARRAYSOFCLASSES
macro
</TD><TD>arrays_java.i
</TD><TD>input
<BR> output
</TD><TD>arrays of proxy classes
</TD><TD>Use for mapping C
arrays to Java arrays.
</TD></TR><TR><TD>arrays of enums
</TD><TD>ARRAYSOFENUMS
</TD><TD>arrays_java.i
</TD><TD>
<BR> output
</TD><TD>int[]
</TD><TD>Use for mapping C arrays to Java
arrays (typeunsafe and simple enum wrapping approaches only).
</TD></TR><TR VALIGN=
"TOP"><TD>char *
</TD><TD>BYTE
</TD><TD>various.i
</TD><TD>input
</TD><TD>
byte[]
</TD><TD VALIGN=
"TOP">Java byte array is converted to char array
</TD><TR><TD>char **
</TD><TD>STRING_ARRAY
</TD><TD>various.i
</TD><TD>input
<BR> output
</TD><TD>String[]
</TD><TD>Use for mapping NULL terminated
arrays of C strings to Java String arrays
</TD></TR><H3><A name=
"typemap_attributes"></A>19.8.5 Java typemap attributes
</H3>
<P> There is an additional typemap attribute that the Java module
supports. This is the 'throws' attribute. The throws attribute is
optional and specified after the typemap name and contains one or more
comma separated classes for adding to the throws clause for any methods
that use that typemap. It is analogous to the
<A href=
"#exception_handling">%javaexception
</A> feature's throws attribute.
</P>%typemap(typemapname, throws=
"ExceptionClass1, ExceptionClass2
") type { ... }
<P> The attribute is necessary for supporting Java checked exceptions
and can be added to just about any typemap. The list of typemaps
include all the C/C++ (JNI) typemaps in the
"<A href=
"#Typemaps">Typemaps
</A>" chapter and the Java specific typemaps listed in
<A href=
"#typemaps_c_to_java_types">the previous section
</A>, barring the
"jni
",
"jtype
" and
"jstype
" typemaps as they could never contain code to throw an exception.
</P><P> The throws clause is generated for the proxy method as well as the
JNI method in the JNI intermediary class. If a method uses more than
one typemap and each of those typemaps have classes specified in the
throws clause, the union of the exception classes is added to the
throws clause ensuring there are no duplicate classes. See the
<A href=
"#nan_exception_typemap">NaN exception example
</A> for further usage.
</P><H3><A name=
"special_variables"></A>19.8.6 Java special variables
</H3>
<P> The standard SWIG special variables are available for use within
typemaps as described in the
<A href=
"#Typemaps">Typemaps documentation
</A>, for example
<TT>$
1</TT>,
<TT>$input
</TT>,
<TT>$result
</TT> etc.
</P><P> The Java module uses a few additional special variables:
</P>
<P><B> <TT>$javaclassname
</TT></B>
<BR> <TT>$javaclassname
</TT> is similar to
<TT>$
1_type
</TT>. It expands
to the class name for use in Java. When wrapping a union, struct or
class, it expands to the Java proxy class name. Otherwise it expands to
the type wrapper class name. For example,
<TT>$javaclassname
</TT> is
replaced by
<TT>Foo
</TT> when the wrapping a
<TT>struct Foo
</TT> or
<TT>struct Foo *
</TT> and
<TT>SWIGTYPE_p_unsigned_short
</TT> is used for
<TT>unsigned short *
</TT>.
</P><P><B> <TT>$null
</TT></B>
<BR> Used in input typemaps to return early from JNI functions that have
either void or a non-void return type. Example:
</P> SWIG_JavaThrowException(jenv, SWIG_JavaIndexOutOfBoundsException,
"Array element error
");
<P> If the typemap gets put into a function with void as return, $null
will expand to nothing:
</P>JNIEXPORT void JNICALL Java_jnifn(...) {
SWIG_JavaThrowException(jenv, SWIG_JavaIndexOutOfBoundsException,
"Array element error
");
<P> otherwise $null expands to
<I> NULL
</I></P>
JNIEXPORT jobject JNICALL Java_jnifn(...) {
SWIG_JavaThrowException(jenv, SWIG_JavaIndexOutOfBoundsException,
"Array element error
");
<P><B> <TT>$javainput, $jnicall and $owner
</TT></B>
<BR> The $javainput special variable is used in
"javain
" typemaps and
$jnicall and $owner are used in
"javaout
" typemaps. $jnicall is
analogous to $action in %exception. It is replaced by the call to the
native method in the intermediary JNI class. $owner is replaced by
either
<TT>true
</TT> if %newobject has been used, otherwise
<TT>false
</TT>. $javainput is analogous to the $input special variable. It is replaced
by the parameter name.
</P><P> Here is an example:
</P>
%typemap(javain) Class
"Class.getCPtr($javainput)
"%typemap(javain) unsigned short
"$javainput
"%typemap(javaout) Class * {
return new Class($jnicall, $owner);
Class * bar(Class cls, unsigned short ush) { return new Class(); };
<P> The generated proxy code is then:
</P>
public static Class bar(Class cls, int ush) {
return new Class(exampleJNI.bar(Class.getCPtr(cls), ush), false);
<P> Here $javainput has been replaced by
<TT>cls
</TT> and
<TT>ush
</TT>.
$jnicall has been replaced by the native method call,
<TT>exampleJNI.bar(...)
</TT> and $owner has been replaced by
<TT>false
</TT>.
If %newobject is used by adding the following at the beginning of our
%newobject bar(Class cls, unsigned short ush);
<P> The generated code constructs the return type using
<TT>true
</TT>
indicating the proxy class
<TT>Class
</TT> is responsible for destroying
the C++ memory allocated for it in
<TT>bar
</TT>:
</P>public static Class bar(Class cls, int ush) {
return new Class(exampleJNI.bar(Class.getCPtr(cls), ush), true);
<P><B> <TT>$static
</TT></B>
<BR> This special variable expands to either
<I> static
</I> or nothing
depending on whether the class is an inner Java class or not. It is
used in the
"javaclassmodifiers
" typemap so that global classes can be
wrapped as Java proxy classes and nested C++ classes/enums can be
wrapped with the Java equivalent, that is, static inner proxy classes.
</P><P><B> <TT>$jniinput, $javacall and $packagepath
</TT></B>
<BR> These special variables are used in the directors typemaps. See
<A href=
"#java_directors_typemaps">
Director specific typemaps
</A> for details.
</P><P><B> <TT>$module
</TT></B>
<BR> This special variable expands to the module name, as specified by
<TT>
%module
</TT> or the
<TT>-module
</TT> commandline option. Useful for
constructing the intermediary classname, which is just
<TT>$moduleJNI
</TT><H3><A name=
"typemaps_for_c_and_c++"></A>19.8.7 Typemaps for both C and
<P> JNI calls must be written differently depending on whether the code
is being compiled as C or C++. For example C compilation requires the
pointer to a function pointer struct member syntax like
</P>const jclass clazz = (*jenv)-
>FindClass(jenv,
"java/lang/String
");
<P> whereas C++ code compilation of the same function call is a member
function call using a class pointer like
</P>const jclass clazz = jenv-
>FindClass(
"java/lang/String
");
<P> To enable typemaps to be used for either C or C++ compilation, a set
of JCALLx macros have been defined in Lib/java/javahead.swg, where x is
the number of arguments in the C++ version of the JNI call. The above
JNI calls would be written in a typemap like this
</P>const jclass clazz = JCALL1(FindClass, jenv,
"java/lang/String
");
<P> Note that the SWIG preprocessor expands these into the appropriate C
or C++ JNI calling convention. The C calling convention is emitted by
default and the C++ calling convention is emitted when using the -c++
SWIG commandline option. If you do not intend your code to be targeting
both C and C++ then your typemaps can use the appropriate JNI calling
convention and need not use the JCALLx macros.
</P><H3><A name=
"java_code_typemaps"></A>19.8.8 Java code typemaps
</H3>
<P> Most of SWIG's typemaps are used for the generation of C/C++ code.
The typemaps in this section are used solely for the generation of Java
code. Elements of proxy classes and type wrapper classes come from the
following typemaps (the defaults).
</P><P><TT>%typemap(javabase)
</TT></P>
<DIV class=
"indent"> base (extends) for Java class: empty default
</DIV>
<P><TT>%typemap(javabody)
</TT></P>
<DIV class=
"indent"> the essential support body for proxy classes (proxy
base classes only), typewrapper classes and enum classes. Default
contains extra constructors, memory ownership control member variables
(
<TT>swigCMemOwn
</TT>,
<TT>swigCPtr
</TT>), the
<TT>getCPtr
</TT> method
<P><TT>%typemap(javabody_derived)
</TT></P>
<DIV class=
"indent"> the essential support body for proxy classes
(derived classes only). Same as
"javabody
" typemap, but only used for
proxy derived classes.
</DIV><P><TT>%typemap(javaclassmodifiers)
</TT></P>
<DIV class=
"indent"> class modifiers for the Java class: default is
"public class
"</DIV>
<P><TT>%typemap(javacode)
</TT></P>
<DIV class=
"indent"> Java code is copied verbatim to the Java class:
<P><TT>%typemap(javadestruct, methodname=
"delete
")
</TT>
<DIV class=
"indent"> destructor wrapper - the
<TT>delete()
</TT> method
(proxy classes only), used for all proxy classes except those which
have a base class : default calls C++ destructor (or frees C memory)
and resets
<TT>swigCPtr
</TT> and
<TT>swigCMemOwn
</TT> flags
<BR> Note that the
<TT>delete()
</TT> method name is configurable and is
specified by the
<TT>methodname
</TT> attribute.
</DIV><P><TT>%typemap(javadestruct_derived, methodname=
"delete
")
</TT></P>
<DIV class=
"indent"> destructor wrapper - the
<TT>delete()
</TT> method
(proxy classes only), same as
"javadestruct
" but only used for derived
proxy classes : default calls C++ destructor (or frees C memory) and
resets
<TT>swigCPtr
</TT> and
<TT>swigCMemOwn
</TT> flags
<BR> Note that the
<TT>delete()
</TT> method name is configurable and is
specified by the
<TT>methodname
</TT> attribute.
</DIV><P><TT>%typemap(javaimports)
</TT></P>
<DIV class=
"indent"> import statements for Java class: empty default
</DIV>
<P><TT>%typemap(javainterfaces)
</TT></P>
<DIV class=
"indent"> interfaces (extends) for Java class: empty default
</DIV>
<P><TT>%typemap(javafinalize)
</TT></P>
<DIV class=
"indent"> the
<TT>finalize()
</TT> method (proxy classes
only): default calls the
<TT>delete()
</TT> method
</DIV><P><B> Compatibility Note:
</B> In SWIG-
1.3.21 and earlier releases,
typemaps called
"javagetcptr
" and
"javaptrconstructormodifiers
" were
available. These are deprecated and the
"javabody
" typemap can be used
<P> In summary the contents of the typemaps make up a proxy class like
[ javaclassmodifiers typemap ] javaclassname extends [ javabase typemap ]
implements [ javainterfaces typemap ] {
[ javabody or javabody_derived typemap ]
public void
<I>delete
</I>() [ javadestruct OR javadestruct_derived typemap ]
<P> Note the
<TT><I>delete
</I>()
</TT> methodname is configurable, see
"javadestruct
" and
"javadestruct_derived
" typemaps above.
</P>
<P> The type wrapper class is similar in construction:
</P>
[ javaclassmodifiers typemap ] javaclassname extends [ javabase typemap ]
implements [ javainterfaces typemap ] {
<P>The enum class is also similar in construction:
</P>
[ javaclassmodifiers typemap ] javaclassname extends [ javabase typemap ]
implements [ javainterfaces typemap ] {
<P> The
"javaimports
" typemap is ignored if the enum class is wrapped by
an inner Java class, that is when wrapping an enum declared within a
<P> The defaults can be overridden to tailor these classes. Here is an
example which will change the
<TT>getCPtr
</TT> method and constructor
from the default protected access to public access. This has a
practical application if you are invoking SWIG more than once and
generating the wrapped classes into different packages in each
invocation. If the classes in one package are using the classes in
another package, then these methods need to be public.
</P>%typemap(javabody) SWIGTYPE %{
protected boolean swigCMemOwn;
public $javaclassname(long cPtr, boolean cMemoryOwn) {
swigCMemOwn = cMemoryOwn;
public static long getCPtr($javaclassname obj) {
return (obj == null) ?
0 : obj.swigCPtr;
<P> The typemap code is the same that is in
"<TT>java.swg
</TT>", barring
the two method modifiers. Note that
<TT>SWIGTYPE
</TT> will target all
proxy classes, but not the type wrapper classes. Also the above typemap
is only used for proxy classes that are potential base classes. To
target proxy classes that are derived from a wrapped class as well, the
"javabody_derived
" typemap should also be overridden.
</P>
<P> For the typemap to be used in all type wrapper classes, all the
different types that type wrapper classes could be used for should be
%typemap(javabody) SWIGTYPE *, SWIGTYPE
&, SWIGTYPE [], SWIGTYPE (CLASS::*) %{
public $javaclassname(long cPtr, boolean bFutureUse) {
protected $javaclassname() {
public static long getCPtr($javaclassname obj) {
return (obj == null) ?
0 : obj.swigCPtr;
<P> Again this is the same that is in
"<TT>java.swg
</TT>", barring the
method modifier for
<TT>getCPtr
</TT>.
</P><H3><A name=
"java_directors_typemaps"></A>19.8.9 Director specific
<P> The Java directors feature requires the
"javadirectorin
",
"javadirectorout
" and the
"directorin
" typemaps in order to work
properly. The
"javapackage
" typemap is an optional typemap used to
identify the Java package path for individual SWIG generated proxy
<P><TT>%typemap(directorin)
</TT></P>
<P> The
"directorin
" typemap is used for converting arguments in the C++
director class to the appropriate JNI type before the upcall to Java.
This typemap also specifies the JNI field descriptor for the type in
the
"descriptor
" attribute. For example, integers are converted as
%typemap(directorin,descriptor=
"I
") int
"$input = (jint) $
1;
"<P> <CODE>$input
</CODE> is the SWIG name of the JNI temporary variable
passed to Java in the upcall. The
<CODE>descriptor=
"I
"</CODE> will put
an
<CODE>I
</CODE> into the JNI field descriptor that identifies the
Java method that will be called from C++. For more about JNI field
descriptors and their importance, refer to the
<A href=
"#java_typemaps">JNI documentation mentioned earlier
</A>. A typemap for C character
%typemap(directorin,descriptor=
"Ljava/lang/String;
") char *
%{ $input = jenv-
>NewStringUTF($
1); %}
<P> User-defined types have the default
"descriptor
" attribute
"<CODE>
L$packagepath/$javaclassname;
</CODE>" where
<CODE>$packagepath
</CODE> is
the package name passed from the SWIG command line and
<CODE>$javaclassname
</CODE> is the Java proxy class' name. If the
<TT>-package
</TT> commandline option is not used to specify the package, then
'$packagepath/' will be removed from the resulting output JNI field
descriptor.
<B> Do not forget the terminating ';' for JNI field
descriptors starting with 'L'.
</B> If the ';' is left out, Java will
generate a
"method not found
" runtime error.
</P><P><TT>%typemap(javadirectorin)
</TT></P>
<P> Conversion from jtype to jstype for director methods. These are Java
code typemaps which transform the type used in the Java intermediary
JNI class (as specified in the
"jtype
" typemap) to the Java type used
in the Java module class, proxy classes and type wrapper classes (as
specified in the
"jstype
" typemap). This typemap provides the
conversion for the parameters in the director methods when calling up
<P> For primitive types, this typemap is usually specified as:
</P>
%typemap(javadirectorin) int
"$jniinput
"<P> The
<CODE>$jniinput
</CODE> special variable is analogous to
<CODE>
$javainput
</CODE> special variable. It is replaced by the input
<P><TT>%typemap(javadirectorout)
</TT></P>
<P> Conversion from jstype to jtype for director methods. These are Java
code typemaps which transform the type used in the Java module class,
proxy classes and type wrapper classes (as specified in the
"jstype
" typemap) to the type used in the Java intermediary JNI class (as
specified in the
"jtype
" typemap). This typemap provides the conversion
for the return type in the director methods when returning from the C++
<P> For primitive types, this typemap is usually specified as:
</P>
%typemap(javadirectorout) int
"$javacall
"<P> The
<CODE>$javacall
</CODE> special variable is analogous to the
<CODE>
$jnicall
</CODE> special variable. It is replaced by the call to the
target Java method. The target method is the method in the Java proxy
class which overrides the virtual C++ method in the C++ base class.
</P><P><TT>%typemap(javapackage)
</TT></P>
<P> The
"javapackage
" typemap is optional; it serves to identify a
class's Java package. This typemap should be used in conjunction with
classes that are defined outside of the current SWIG interface file.
// class Foo is handled in a different interface file:
%import
"Foo.i
"%feature(
"director
") Example;
void ping(Foo *arg1, Bar *arg2);
<P> Assume that the Foo class is part of the Java package
<I>
com.wombat.foo
</I> but the above interface file is part of the Java
package
<I> com.wombat.example
</I>. Without the
"javapackage
" typemap,
SWIG will assume that the Foo class belongs to
<I> com.wombat.example
</I> class. The corrected interface file looks like:
</P>// class Foo is handled in a different interface file:
%import
"Foo.i
"%typemap(
"javapackage
") Foo, Foo *, Foo
& "com.wombat.foo
";
%feature(
"director
") Example;
void ping(Foo *arg1, Bar *arg2);
<P> SWIG looks up the package based on the
<B> actual
</B> type (plain
Foo, Foo pointer and Foo reference), so it is important to associate
all three types with the desired package. Practically speaking, you
should create a separate SWIG interface file, which is %import-ed into
each SWIG interface file, when you have multiple Java packages. Note
the helper macros below,
<CODE>OTHER_PACKAGE_SPEC
</CODE> and
<CODE>ANOTHER_PACKAGE_SPEC
</CODE>, which reduce the amount of extra typing.
"<CODE>TYPE...
</CODE>" is useful when passing templated types to the macro,
since multiargument template types appear to the SWIG preprocessor as
multiple macro arguments.
</P>%typemap(
"javapackage
") SWIGTYPE, SWIGTYPE *, SWIGTYPE
& "package.for.most.classes
";
%define OTHER_PACKAGE_SPEC(TYPE...)
%typemap(
"javapackage
") TYPE, TYPE *, TYPE
& "package.for.other.classes
";
%define ANOTHER_PACKAGE_SPEC(TYPE...)
%typemap(
"javapackage
") TYPE, TYPE *, TYPE
& "package.for.another.set
";
OTHER_PACKAGE_SPEC(Package_2_class_one)
ANOTHER_PACKAGE_SPEC(Package_3_class_two)
<P> The basic strategy here is to provide a default package typemap for
the majority of the classes, only providing
"javapackage
" typemaps for
<H2><A name=
"typemap_examples"></A>19.9 Typemap Examples
</H2>
<P> This section includes a few examples of typemaps. For more examples,
you might look at the files
"<TT>java.swg
</TT>" and
"<TT>typemaps.i
</TT>" in the SWIG library.
</P>
<H3><A name=
"simpler_enum_classes"></A>19.9.1 Simpler Java enums for
enums without initializers
</H3><P> The default
<A href=
"#proper_enums_classes">Proper Java enums
</A>
approach to wrapping enums is somewhat verbose. This is to handle all
possible C/C++ enums, in particular enums with initializers. The
generated code can be simplified if the enum being wrapped does not
have any initializers.
</P><P> The following shows how to remove the support methods that are
generated by default and instead use the methods in the Java enum base
class
<TT>java.lang.Enum
</TT> and
<TT>java.lang.Class
</TT> for
marshalling enums between C/C++ and Java. The type used for the
typemaps below is
<TT>enum SWIGTYPE
</TT> which is the default type used
for all enums. The
"enums.swg
" file should be examined in order to see
the original overridden versions of the typemaps.
</P>%include
"enums.swg
"%typemap(javain) enum SWIGTYPE
"$javainput.ordinal()
"%typemap(javaout) enum SWIGTYPE {
return $javaclassname.class.getEnumConstants()[$jnicall];
%typemap(javabody) enum SWIGTYPE
"" enum HairType { blonde, ginger, brunette };
void setHair(HairType h);
<P> SWIG will generate the following Java enum, which is somewhat
simpler than the default:
</P><P> and the two Java proxy methods will be:
</P>
public static void setHair(HairType h) {
exampleJNI.setHair(h.ordinal());
public static HairType getHair() {
return HairType.class.getEnumConstants()[exampleJNI.getHair()];
<P> For marshalling Java enums to C/C++ enums, the
<TT>ordinal
</TT>
method is used to convert the Java enum into an integer value for
passing to the JNI layer, see the
"javain
" typemap. For marshalling
C/C++ enums to Java enums, the C/C++ enum value is cast to an integer
in the C/C++ typemaps (not shown). This integer value is then used to
index into the array of enum constants that the Java language provides.
See the
<TT>getEnumConstants
</TT> method in the
"javaout
" typemap.
</P><P> These typemaps can often be used as the default for wrapping enums
as in many cases there won't be any enum initializers. In fact a good
strategy is to always use these typemaps and to specifically handle
enums with initializers using %apply. This would be done by using the
original versions of these typemaps in
"enums.swg
" under another
typemap name for applying using %apply.
</P><H3><A name=
"exception_typemap"></A>19.9.2 Handling C++ exception
specifications as Java exceptions
</H3><P> This example demonstrates various ways in which C++ exceptions can
be tailored and converted into Java exceptions. Let's consider a simple
file class
<TT>SimpleFile
</TT> and an exception class
<TT>FileException
</TT> which it may throw on error:
</P>%include
"std_string.i
" // for std::string typemaps
FileException(const std::string
& msg) : message(msg) {}
SimpleFile(const std::string
& filename) : filename(filename) {}
void open() throw(FileException) {
<P> As the
<TT>open
</TT> method has a C++ exception specification, SWIG
will parse this and know that the method can throw an exception. The
<A href=
"#throws_typemap">"throws
" typemap
</A> is then used when SWIG encounters an exception
specification. The default generic
"throws
" typemap looks like this:
</P>%typemap(throws) SWIGTYPE, SWIGTYPE
&, SWIGTYPE *, SWIGTYPE [ANY] %{
SWIG_JavaThrowException(jenv, SWIG_JavaRuntimeException,
"C++ $
1_type exception thrown
");
<P> Basically SWIG will generate a C++ try catch block and the body of
the
"throws
" typemap constitutes the catch block. The above typemap
calls a SWIG supplied method which throws a
<TT>java.lang.RuntimeException
</TT>. This exception class is a runtime
exception and therefore not a checked exception. If, however, we wanted
to throw a checked exception, say
<TT>java.io.IOException
</TT>, then we
could use the following typemap:
</P>%typemap(throws, throws=
"java.io.IOException
") FileException {
jclass excep = jenv-
>FindClass(
"java/io/IOException
");
jenv-
>ThrowNew(excep, $
1.what().c_str());
<P> Note that this typemap uses the 'throws'
<A href=
"#typemap_attributes">
typemap attribute
</A> to ensure a throws clause is generated. The
generated proxy method then specifies the checked exception by
containing
<TT>java.io.IOException
</TT> in the throws clause:
</P>public class SimpleFile {
public void open() throws java.io.IOException { ... }
<P> Lastly, if you don't want to map your C++ exception into one of the
standard Java exceptions, the C++ class can be wrapped and turned into
a custom Java exception class. If we go back to our example, the first
thing we must do is get SWIG to wrap
<TT>FileException
</TT> and ensure
that it derives from
<TT>java.lang.Exception
</TT>. Additionally, we
might want to override the
<TT>java.lang.Exception.getMessage()
</TT> method. The typemaps to use then are as follows:
</P>%typemap(javabase) FileException
"java.lang.Exception
";
%typemap(javacode) FileException %{
public String getMessage() {
public class FileException extends java.lang.Exception {
public String getMessage() {
public FileException(String msg) { ... }
return exampleJNI.FileException_what(swigCPtr);
<P> We could alternatively have used
<TT>%rename
</TT> to rename
<TT>
what()
</TT> into
<TT>getMessage()
</TT>.
</P><H3><A name=
"nan_exception_typemap"></A>19.9.3 NaN Exception - exception
handling for a particular type
</H3><P> A Java exception can be thrown from any Java or JNI code. Therefore,
as most typemaps contain either Java or JNI code, just about any
typemap could throw an exception. The following example demonstrates
exception handling on a type by type basis by checking for 'Not a
number' (NaN) whenever a parameter of type
<TT>float
</TT> is wrapped.
</P><P> Consider the following C++ code:
</P>
bool calculate(float first, float second);
<P> To validate every
<TT>float
</TT> being passed to C++, we could
preceed the code being wrapped by the following typemap which throws a
runtime exception whenever the
<TT>float
</TT> is 'Not a Number':
</P>%typemap(javain) float
"$module.CheckForNaN($javainput)
"%pragma(java) modulecode=%{
/** Simply returns the input value unless it is not a number,
whereupon an exception is thrown. */
static protected float CheckForNaN(float num) {
throw new RuntimeException(
"Not a number
");
<P> Note that the
<TT>CheckForNaN
</TT> support method has been added to
the module class using the
<TT>modulecode
</TT> pragma. The following
shows the generated code of interest:
</P> /** Simply returns the input value unless it is not a number,
whereupon an exception is thrown. */
static protected float CheckForNaN(float num) {
throw new RuntimeException(
"Not a number
");
public static boolean calculate(float first, float second) {
return exampleJNI.calculate(example.CheckForNaN(first), example.CheckForNaN(second));
<P> Note that the
"javain
" typemap is used for every occurrence of a
<TT>
float
</TT> being used as an input. Of course, we could have targetted
the typemap at a particular parameter by using
<TT>float first
</TT>,
say, instead of just
<TT>float
</TT>. If we decide that what we actually
want is a checked exception instead of a runtime exception, we can
change this easily enough. The proxy method that uses
<TT>float
</TT> as
an input, must then add the exception class to the throws clause. SWIG
can handle this as it supports the 'throws'
<A href=
"#typemap_attributes">typemap attribute
</A> for specifying classes for the throws clause. Thus
we can modify the pragma and the typemap for the throws clause:
</P>%typemap(javain, throws=
"java.lang.Exception
") float
"$module.CheckForNaN($javainput)
"%pragma(java) modulecode=%{
/** Simply returns the input value unless it is not a number,
whereupon an exception is thrown. */
static protected float CheckForNaN(float num) throws java.lang.Exception {
throw new RuntimeException(
"Not a number
");
<P> The
<TT>calculate
</TT> method now has a throws clause and even
though the typemap is used twice for both
<TT>float first
</TT> and
<TT>float second
</TT>, the throws clause contains a single instance of
<TT>java.lang.Exception
</TT>:
</P> /** Simply returns the input value unless it is not a number,
whereupon an exception is thrown. */
static protected float CheckForNaN(float num) throws java.lang.Exception {
throw new RuntimeException(
"Not a number
");
public static boolean calculate(float first, float second) throws java.lang.Exception {
return exampleJNI.calculate(example.CheckForNaN(first), example.CheckForNaN(second));
<P> If we were a martyr to the JNI cause, we could replace the succinct
code within the
"javain
" typemap with a few pages of JNI code. If we
had, we would have put it in the
"in
" typemap which, like all JNI and
Java typemaps, also supports the 'throws' attribute.
</P><H3><A name=
"converting_java_string_arrays"></A>19.9.4 Converting Java
String arrays to char **
</H3><P> A common problem in many C programs is the processing of command
line arguments, which are usually passed in an array of NULL terminated
strings. The following SWIG interface file allows a Java String array
to be used as a
<TT>char **
</TT> object.
</P>/* This tells SWIG to treat char ** as a special case when used as a parameter
%typemap(in) char ** (jint size) {
size = (*jenv)-
>GetArrayLength(jenv, $input);
$
1 = (char **) malloc((size+
1)*sizeof(char *));
/* make a copy of each string */
for (i =
0; i
<size; i++) {
jstring j_string = (jstring)(*jenv)-
>GetObjectArrayElement(jenv, $input, i);
const char * c_string = (*jenv)-
>GetStringUTFChars(jenv, j_string,
0);
$
1[i] = malloc(strlen((c_string)+
1)*sizeof(const char *));
(*jenv)-
>ReleaseStringUTFChars(jenv, j_string, c_string);
(*jenv)-
>DeleteLocalRef(jenv, j_string);
/* This cleans up the memory we malloc'd before the function call */
%typemap(freearg) char ** {
for (i=
0; i
<size$argnum-
1; i++)
/* This allows a C function to return a char ** as a Java String array */
const jclass clazz = (*jenv)-
>FindClass(jenv,
"java/lang/String
");
jresult = (*jenv)-
>NewObjectArray(jenv, len, clazz, NULL);
/* exception checking omitted */
for (i=
0; i
<len; i++) {
temp_string = (*jenv)-
>NewStringUTF(jenv, *result++);
(*jenv)-
>SetObjectArrayElement(jenv, jresult, i, temp_string);
(*jenv)-
>DeleteLocalRef(jenv, temp_string);
/* These
3 typemaps tell SWIG what JNI and Java types to use */
%typemap(jni) char **
"jobjectArray
"%typemap(jtype) char **
"String[]
"%typemap(jstype) char **
"String[]
"/* These
2 typemaps handle the conversion of the jtype to jstype typemap type
%typemap(javain) char **
"$javainput
"%typemap(javaout) char ** {
/* Now a few test functions */
int print_args(char **argv) {
printf(
"argv[%d] = %s\n
", i, argv[i]);
static char *values[] = {
"Dave
",
"Mike
",
"Susan
",
"John
",
"Michelle
",
0};
<P> Note that the 'C' JNI calling convention is used. Checking for any
thrown exceptions after JNI function calls has been omitted. When this
module is compiled, our wrapped C functions can be used by the
following Java program:
</P> System.loadLibrary(
"example
");
} catch (UnsatisfiedLinkError e) {
System.err.println(
"Native code library failed to load.
" + e);
public static void main(String argv[]) {
String animals[] = {
"Cat
",
"Dog
",
"Cow
",
"Goat
"};
example.print_args(animals);
String args[] = example.get_args();
for (int i=
0; i
<args.length; i++)
System.out.println(i +
":
" + args[i]);
<P> When compiled and run we get:
</P>
<P> In the example, a few different typemaps are used. The
"in
" typemap
is used to receive an input argument and convert it to a C array. Since
dynamic memory allocation is used to allocate memory for the array, the
"freearg
" typemap is used to later release this memory after the
execution of the C function. The
"out
" typemap is used for function
return values. Lastly the
"jni
",
"jtype
" and
"jstype
" typemaps are also
required to specify what Java types to use.
</P><H3><A name=
"expanding_java_object"></A>19.9.5 Expanding a Java object
to multiple arguments
</H3><P> Suppose that you had a collection of C functions with arguments such
int foo(int argc, char **argv);
<P> In the previous example, a typemap was written to pass a Java String
array as the
<TT>char **argv
</TT>. This allows the function to be used
from Java as follows:
</P>example.foo(
4, new String[]{
"red
",
"green
",
"blue
",
"white
"});
<P> Although this works, it's a little awkward to specify the argument
count. To fix this, a multi-argument typemap can be defined. This is
not very difficult--you only have to make slight modifications to the
previous example's typemaps:
</P>%typemap(in) (int argc, char **argv) {
$
1 = (*jenv)-
>GetArrayLength(jenv, $input);
$
2 = (char **) malloc(($
1+
1)*sizeof(char *));
/* make a copy of each string */
for (i =
0; i
<$
1; i++) {
jstring j_string = (jstring)(*jenv)-
>GetObjectArrayElement(jenv, $input, i);
const char * c_string = (*jenv)-
>GetStringUTFChars(jenv, j_string,
0);
$
2[i] = malloc(strlen((c_string)+
1)*sizeof(const char *));
(*jenv)-
>ReleaseStringUTFChars(jenv, j_string, c_string);
(*jenv)-
>DeleteLocalRef(jenv, j_string);
%typemap(freearg) (int argc, char **argv) {
for (i=
0; i
<$
1-
1; i++)
%typemap(jni) (int argc, char **argv)
"jobjectArray
"%typemap(jtype) (int argc, char **argv)
"String[]
"%typemap(jstype) (int argc, char **argv)
"String[]
"%typemap(javain) (int argc, char **argv)
"$javainput
"<P> When writing a multiple-argument typemap, each of the types is
referenced by a variable such as
<TT>$
1</TT> or
<TT>$
2</TT>. The
typemap code simply fills in the appropriate values from the supplied
<P> With the above typemap in place, you will find it no longer
necessary to supply the argument count. This is automatically set by
the typemap code. For example:
</P>example.foo(new String[]{
"red
",
"green
",
"blue
",
"white
"});
<H3><A name=
"using_typemaps_return_arguments"></A>19.9.6 Using typemaps
<P> A common problem in some C programs is that values may be returned
in function parameters rather than in the return value of a function.
The
<TT>typemaps.i
</TT> file defines INPUT, OUTPUT and INOUT typemaps
which can be used to solve some instances of this problem. This library
file uses an array as a means of moving data to and from Java when
wrapping a C function that takes non const pointers or non const
references as parameters.
</P><P> Now we are going to outline an alternative approach to using arrays
for C pointers. The INOUT typemap uses a
<TT>double[]
</TT> array for
receiving and returning the
<TT>double*
</TT> parameters. In this
approach we are able to use a Java class
<TT>myDouble
</TT> instead of
<TT>double[]
</TT> arrays where the C pointer
<TT>double*
</TT> is required.
</P><P> Here is our example function:
</P>
/* Returns a status value and two values in out1 and out2 */
int spam(double a, double b, double *out1, double *out2);
<P> If we define a structure
<TT>MyDouble
</TT> containing a
<TT>double
</TT>
member variable and use some typemaps we can solve this problem. For
example we could put the following through SWIG:
</P>/* Define a new structure to use instead of double * */
/* Returns a status value and two values in out1 and out2 */
int spam(double a, double b, double *out1, double *out2) {
This typemap will make any double * function parameters with name
<TT>OUTVALUE
</TT> take an
argument of MyDouble instead of double *. This will
allow the calling function to read the double * value after returning from the function.
%typemap(in) double *OUTVALUE {
jclass clazz = jenv-
>FindClass(
"MyDouble
");
jfieldID fid = jenv-
>GetFieldID(clazz,
"swigCPtr
",
"J
");
jlong cPtr = jenv-
>GetLongField($input, fid);
MyDouble *pMyDouble = NULL;
*(MyDouble **)
&pMyDouble = *(MyDouble **)
&cPtr;
$
1 =
&pMyDouble-
>value;
%typemap(jtype) double *OUTVALUE
"MyDouble
"%typemap(jstype) double *OUTVALUE
"MyDouble
"%typemap(jni) double *OUTVALUE
"jobject
"%typemap(javain) double *OUTVALUE
"$javainput
"/* Now we apply the typemap to the named variables */
%apply double *OUTVALUE { double *out1, double *out2 };
int spam(double a, double b, double *out1, double *out2);
<P> Note that the C++ JNI calling convention has been used this time and
so must be compiled as C++ and the -c++ commandline must be passed to
SWIG. JNI error checking has been omitted for clarity.
</P><P> What the typemaps do are make the named
<TT>double*
</TT> function
parameters use our new
<TT>MyDouble
</TT> wrapper structure. The
"in
" typemap takes this structure, gets the C++ pointer to it, takes the
<TT>double value
</TT> member variable and passes it to the C++
<TT>spam
</TT> function. In Java, when the function returns, we use the SWIG created
<TT>getValue()
</TT> function to get the output value. The following Java
program demonstrates this:
</P> System.loadLibrary(
"example
");
} catch (UnsatisfiedLinkError e) {
System.err.println(
"Native code library failed to load.
" + e);
public static void main(String argv[]) {
MyDouble out1 = new MyDouble();
MyDouble out2 = new MyDouble();
int ret = example.spam(
1.2,
3.4, out1, out2);
System.out.println(ret +
" " + out1.getValue() +
" " + out2.getValue());
<P> When compiled and run we get:
</P>
<H3><A name=
"adding_downcasts"></A>19.9.7 Adding Java downcasts to
polymorphic return types
</H3><P> SWIG support for polymorphism works in that the appropriate virtual
function is called. However, the default generated code does not allow
for downcasting. Let's examine this with the following code:
</P>%include
"std_string.i
"#include
<iostream
> virtual void start() =
0;
class Ambulance : public Vehicle {
Ambulance(string volume) : vol(volume) {}
cout
<< "Ambulance started
" << endl;
cout
<< vol
<< " siren sounded!
" << endl;
Vehicle *vehicle_factory() {
return new Ambulance(
"Very loud
");
<P> If we execute the following Java code:
</P>
Vehicle vehicle = example.vehicle_factory();
Ambulance ambulance = (Ambulance)vehicle;
java.lang.ClassCastException
at main.main(main.java:
16)
<P> Even though we know from examination of the C++ code that
<TT>
vehicle_factory
</TT> returns an object of type
<TT>Ambulance
</TT>, we
are not able to use this knowledge to perform the downcast in Java.
This occurs because the runtime type information is not completely
passed from C++ to Java when returning the type from
<TT>vehicle_factory()
</TT>. Usually this is not a problem as virtual
functions do work by default, such as in the case of
<TT>start()
</TT>.
There are a few solutions to getting downcasts to work.
</P><P> The first is not to use a Java cast but a call to C++ to make the
cast. Add this to your code:
</P>%exception Ambulance::dynamic_cast(Vehicle *vehicle) {
jclass excep = jenv-
>FindClass(
"java/lang/ClassCastException
");
jenv-
>ThrowNew(excep,
"dynamic_cast exception
");
static Ambulance *dynamic_cast(Vehicle *vehicle) {
return dynamic_cast
<Ambulance *
>(vehicle);
<P> It would then be used from Java like this
</P>
Ambulance ambulance = Ambulance.dynamic_cast(vehicle);
<P> Should
<TT>vehicle
</TT> not be of type
<TT>ambulance
</TT> then a
Java
<TT>ClassCastException
</TT> is thrown. The next solution is a
purer solution in that Java downcasts can be performed on the types.
Add the following before the definition of
<TT>vehicle_factory
</TT>:
</P>%typemap(out) Vehicle * {
Ambulance *downcast = dynamic_cast
<Ambulance *
>($
1);
*(Ambulance **)
&$result = downcast;
%typemap(javaout) Vehicle * {
return new Ambulance($jnicall, $owner);
<P> Here we are using our knowledge that
<TT>vehicle_factory
</TT> always
returns type
<TT>Ambulance
</TT> so that the Java proxy is created as a
type
<TT>Ambulance
</TT>. If
<TT>vehicle_factory
</TT> can manufacture
any type of
<TT>Vehicle
</TT> and we want to be able to downcast using
Java casts for any of these types, then a different approach is needed.
Consider expanding our example with a new Vehicle type and a more
flexible factory function:
</P>class FireEngine : public Vehicle {
cout
<< "FireEngine started
" << endl;
cout
<< "Hose rolled out
" << endl;
Vehicle *vehicle_factory(int vehicle_number) {
return new Ambulance(
"Very loud
");
<P> To be able to downcast with this sort of Java code:
</P>
FireEngine fireengine = (FireEngine)example.vehicle_factory(
1);
fireengine.roll_out_hose();
Ambulance ambulance = (Ambulance)example.vehicle_factory(
0);
<P> the following typemaps targeted at the
<TT>vehicle_factory
</TT>
function will achieve this. Note that in this case, the Java class is
constructed using JNI code rather than passing a pointer across the JNI
boundary in a Java long for construction in Java code.
</P>%typemap(jni) Vehicle *vehicle_factory
"jobject
"%typemap(jtype) Vehicle *vehicle_factory
"Vehicle
"%typemap(jstype) Vehicle *vehicle_factory
"Vehicle
"%typemap(javaout) Vehicle *vehicle_factory {
%typemap(out) Vehicle *vehicle_factory {
Ambulance *ambulance = dynamic_cast
<Ambulance *
>($
1);
FireEngine *fireengine = dynamic_cast
<FireEngine *
>($
1);
// call the Ambulance(long cPtr, boolean cMemoryOwn) constructor
jclass clazz = jenv-
>FindClass(
"Ambulance
");
jmethodID mid = jenv-
>GetMethodID(clazz,
"<init
>",
"(JZ)V
");
*(Ambulance **)
&cptr = ambulance;
$result = jenv-
>NewObject(clazz, mid, cptr, false);
// call the FireEngine(long cPtr, boolean cMemoryOwn) constructor
jclass clazz = jenv-
>FindClass(
"FireEngine
");
jmethodID mid = jenv-
>GetMethodID(clazz,
"<init
>",
"(JZ)V
");
*(FireEngine **)
&cptr = fireengine;
$result = jenv-
>NewObject(clazz, mid, cptr, false);
cout
<< "Unexpected type
" << endl;
cout
<< "Failed to create new java object
" << endl;
<P> Better error handling would need to be added into this code. There
are other solutions to this problem, but this last example demonstrates
some more involved JNI code. SWIG usually generates code which
constructs the proxy classes using Java code as it is easier to handle
error conditions and is faster. Note that the JNI code above uses a
number of string lookups to call a constructor, whereas this would not
occur using byte compiled Java code.
</P><H3><A name=
"adding_equals_method"></A>19.9.8 Adding an equals method to
<P> When a pointer is returned from a JNI function, it is wrapped using
a new Java proxy class or type wrapper class. Even when the pointers
are the same, it will not be possible to know that the two Java classes
containing those pointers are actually the same object. It is common in
Java to use the
<TT>equals()
</TT> method to check whether two objects
are equivalent. An equals method is easily added to all proxy classes.
%typemap(javacode) SWIGTYPE %{
public boolean equals(Object obj) {
if (obj instanceof $javaclassname)
equal = ((($javaclassname)obj).swigCPtr == this.swigCPtr);
Foo* returnFoo(Foo *foo) { return foo; }
<P> The following would display
<TT>false
</TT> without the
<TT>javacode
</TT>
typemap above. With the typemap defining the
<TT>equals
</TT> method the
result is
<TT>true
</TT>.
</P>Foo foo2 = example.returnFoo(foo1);
System.out.println(
"foo1?
" + foo1.equals(foo2));
<H3><A name=
"void_pointers"></A>19.9.9 Void pointers and a common Java
<P> One might wonder why the common code that SWIG emits for the proxy
and type wrapper classes is not pushed into a base class. The reason is
that although
<TT>swigCPtr
</TT> could be put into a common base class
for all classes wrapping C structures, it would not work for C++
classes involved in an inheritance chain. Each class derived from a
base needs a separate
<TT>swigCPtr
</TT> because C++ compilers sometimes
use a different pointer value when casting a derived class to a base.
Additionally as Java only supports single inheritance, it would not be
possible to derive wrapped classes from your own pure Java classes if
the base class has been 'used up' by SWIG. However, you may want to
move some of the common code into a base class. Here is an example
which uses a common base class for all proxy classes and type wrapper
%typemap(javabase) SWIGTYPE, SWIGTYPE *, SWIGTYPE
&, SWIGTYPE [],
SWIGTYPE (CLASS::*)
"SWIG
"%typemap(javacode) SWIGTYPE, SWIGTYPE *, SWIGTYPE
&, SWIGTYPE [],
protected long getPointer() {
<P> Define new base class called SWIG:
</P>
public abstract class SWIG {
protected abstract long getPointer();
public boolean equals(Object obj) {
equal = (((SWIG)obj).getPointer() == this.getPointer());
SWIGTYPE_p_void getVoidPointer() {
return new SWIGTYPE_p_void(getPointer(), false);
<P> This example contains some useful functionality which you may want
<LI> It has an
<TT>equals()
</TT> method. Unlike the previous example,
the method code isn't replicated in all classes.
</LI><LI> It also has a function which effectively implements a cast from the
type of the proxy/type wrapper class to a void pointer. This is
necessary for passing a proxy class or a type wrapper class to a
function that takes a void pointer.
</LI><H3><A name=
"struct_pointer_pointer"></A>19.9.10 Struct pointer to
<P> Pointers to pointers are often used as output parameters in C
factory type functions. These are a bit more tricky to handle. Consider
the following situation where a
<TT>Butler
</TT> can be hired and fired:
</P>// Note: HireButler will allocate the memory
// The caller must free the memory by calling FireButler()!!
extern int HireButler(Butler **ppButler);
extern void FireButler(Butler *pButler);
<P> C code implementation:
</P>
int HireButler(Butler **ppButler) {
Butler *pButler = (Butler *)malloc(sizeof(Butler));
pButler-
>hoursAvailable =
24;
pButler-
>greeting = (char *)malloc(
32);
strcpy(pButler-
>greeting,
"At your service Sir
");
void FireButler(Butler *pButler) {
free(pButler-
>greeting);
<P> Let's take two approaches to wrapping this code. The first is to
provide a functional interface, much like the original C interface. The
following Java code shows how we intend the code to be used:
</P> Butler jeeves = new Butler();
example.HireButler(jeeves);
System.out.println(
"Greeting:
" + jeeves.getGreeting());
System.out.println(
"Availability:
" + jeeves.getHoursAvailable() +
" hours per day
");
example.FireButler(jeeves);
<P> Resulting in the following output when run:
</P>
Greeting: At your service Sir
Availability:
24 hours per day
<P> Note the usage is very much like it would be used if we were writing
C code, that is, explicit memory management is needed. No C memory is
allocated in the construction of the
<TT>Butler
</TT> proxy class and
the proxy class will not destroy the underlying C memory when it is
collected. A number of typemaps and features are needed to implement
this approach. The following interface file code should be placed
before SWIG parses the above C code.
</P>// Do not generate the default proxy constructor or destructor
// Add in pure Java code proxy constructor
%typemap(javacode) Butler %{
/** This constructor creates the proxy which initially does not create nor own any C memory */
// Type typemaps for marshalling Butler **
%typemap(jni) Butler **
"jobject
"%typemap(jtype) Butler **
"Butler
"%typemap(jstype) Butler **
"Butler
"// Typemaps for Butler ** as a parameter output type
%typemap(in) Butler ** (Butler *ppButler =
0) %{
%typemap(argout) Butler ** {
// Give Java proxy the C pointer (of newly created object)
jclass clazz = (*jenv)-
>FindClass(jenv,
"Butler
");
jfieldID fid = (*jenv)-
>GetFieldID(jenv, clazz,
"swigCPtr
",
"J
");
*(Butler **)(void *)
&cPtr = *$
1;
(*jenv)-
>SetLongField(jenv, $input, fid, cPtr);
%typemap(javain) Butler **
"$javainput
"<P> Note that the JNI code sets the proxy's
<TT>swigCPtr
</TT> member
variable to point to the newly created object. The
<TT>swigCMemOwn
</TT> remains unchanged (at false), so that the proxy does not own the
<P> The second approach offers a more object oriented interface to the
Java user. We do this by making the Java proxy class's constructor call
the
<TT>HireButler()
</TT> method to create the underlying C object.
Additionally we get the proxy to take ownership of the memory so that
the finalizer will call the
<TT>FireButler()
</TT> function. The proxy
class will thus take ownership of the memory and clean it up when no
longer needed. We will also prevent the user from being able to
explicitly call the
<TT>HireButler()
</TT> and
<TT>FireButler()
</TT> functions. Usage from Java will simply be:
</P>Butler jeeves = new Butler();
System.out.println(
"Greeting:
" + jeeves.getGreeting());
System.out.println(
"Availability:
" + jeeves.getHoursAvailable() +
" hours per day
");
<P> Note that the Butler class is used just like any other Java class
and no extra coding by the user needs to be written to clear up the
underlying C memory as the finalizer will be called by the garbage
collector which in turn will call the
<TT>FireButler()
</TT> function.
To implement this, we use the above interface file code but remove the
<TT>javacode
</TT> typemap and add the following:
</P>// Don't expose the memory allocation/de-allocation functions
%ignore FireButler(Butler *pButler);
%ignore HireButler(Butler **ppButler);
// Add in a custom proxy constructor and destructor
HireButler(
&pButler);
<P> Note that the code in
<TT>%extend
</TT> is using a C++ type
constructor and destructor, yet the generated code will still compile
as C code, see
<A href=
"#SWIG_adding_member_functions">Adding member
functions to C structures
</A>. The C functional interface has been
completely morphed into an object-oriented interface and the Butler
class would behave much like any pure Java class and feel more natural
<H2><A name=
"java_directors_faq"></A>19.10 Living with Java Directors
</H2>
<P> This section is intended to address frequently asked questions and
frequently encountered problems when using Java directors.
</P><LI><I>When my program starts up, it complains that
</I> method_foo
<I>
cannot be found in a Java method called
</I> swig_module_init
<I>. How do
<P> Open up the C++ wrapper source code file and look for
<CODE>
"method_foo
"</CODE> (include the double quotes, they are important!)
Look at the JNI field descriptor and make sure that each class that
occurs in the descriptor has the correct package name in front of it.
If the package name is incorrect, put a
"javapackage
" typemap in your
<LI><I>I'm compiling my code and I'm using templates. I provided a
javapackage typemap, but SWIG doesn't generate the right JNI field
<P> Use the template's renamed name as the argument to the
"javapackage
"
%typemap(javapackage) std::vector
<int
> "your.package.here
"%template(VectorOfInt) std::vector
<int
>;
<P><I>When I pass class pointers or references through a C++ upcall and
I try to type cast them, Java complains with a ClassCastException. What
am I doing wrong?
</I></P><P> Normally, a non-director generated Java proxy class creates
temporary Java objects as follows:
</P>public static void MyClass_method_upcall(MyClass self, long jarg1)
Foo darg1 = new Foo(jarg1, false);
self.method_upcall(darg1);
<P>Unfortunately, this loses the Java type information that is part of
the underlying Foo director proxy class's Java object pointer causing
the type cast to fail. The SWIG Java module's director code attempts to
correct the problem,
<B> but only for director-enabled classes
</B>,
since the director class retains a global reference to its Java object.
Thus, for director-enabled classes
<B> and only for director-enabled
classes
</B>, the generated proxy Java code looks something like:
</P>public static void MyClass_method_upcall(MyClass self, long jarg1,
Foo darg1 = (jarg1_object != null ? jarg1_object : new Foo(jarg1, false));
self.method_upcall(darg1);
<P> When you import a SWIG interface file containing class definitions,
the classes you want to be director-enabled must be have the
<CODE>feature(
"director
")
</CODE> enabled for type symmetry to work. This
applies even when the class being wrapped isn't a director-enabled
class but takes parameters that are director-enabled classes.
</P><P> The current
"type symmetry
" design will work for simple C++
inheritance, but will most likely fail for anything more compicated
such as tree or diamond C++ inheritance hierarchies. Those who are
interested in challenging problems are more than welcome to hack the
<CODE>Java::Java_director_declaration
</CODE> method in
<CODE>Source/Modules/java.cxx
</CODE>.
</P><P> If all else fails, you can use the downcastXXXXX() method to attempt
to recover the director class's Java object pointer. For the Java Foo
proxy class, the Foo director class's java object pointer can be
accessed through the javaObjectFoo() method. The generated method's
public static Foo javaObjectFoo(Foo obj);
<P> From your code, this method is invoked as follows:
</P>
public class MyClassDerived {
public void method_upcall(Foo foo_object)
FooDerived derived = (foo_object != null ?
(FooDerived) Foo.downcastFoo(foo_object) : null);
/* rest of your code here */
<P> An good approach for managing downcasting is placing a static method
in each derived class that performs the downcast from the superclass,
public class FooDerived extends Foo {
public static FooDerived downcastFooDerived(Foo foo_object)
return (foo_object != null ? (FooDerived) Foo.downcastFoo(foo_object);
catch (ClassCastException exc) {
// Wasn't a FooDerived object, some other sublcass of Foo
<P> Then change the code in MyClassDerived as follows:
</P>
public class MyClassDerived extends MyClass {
public void method_upcall(Foo foo_object)
FooDerived derived = FooDerived.downcastFooDerived(foo_object);
/* rest of your code here */
<P><I>Why isn't the proxy class declared abstract? Why aren't the
director upcall methods in the proxy class declared abstract?
</I></P><P> Declaring the proxy class and its methods abstract would break the
JNI argument marshalling and SWIG's downcall functionality (going from
Java to C++.) Create an abstract Java subclass that inherits from the
director-enabled class instead. Using the previous Foo class example:
</P>public abstract class UserVisibleFoo extends Foo {
/** Make sure user overrides this method, it's where the upcall
public abstract void method_upcall(Foo foo_object);
/// Downcast from Foo to UserVisibleFoo
public static UserVisibleFoo downcastUserVisibleFoo(Foo foo_object)
return (foo_object != null ? (FooDerived) Foo.downcastFoo(foo_object) : null);
catch (ClassCastException exc) {
// Wasn't a FooDerived object, some other sublcass of Foo
<P>This doesn't prevent the user from creating subclasses derived from
Foo, however, UserVisibleFoo provides the safety net that reminds the
user to override the
<CODE>method_upcall()
</CODE> method.
</P><H2><A name=
"odds_ends"></A>19.11 Odds and ends
</H2>
<H3><A name=
"javadoc_comments"></A>19.11.1 JavaDoc comments
</H3>
<P> The SWIG documentation system is currently deprecated. When it is
resurrected JavaDoc comments will be fully supported. If you can't wait
for the full documentation system a couple of workarounds are
available. The
<TT>%javamethodmodifiers
</TT> feature can be used for
adding proxy class method comments and module class method comments.
The
"javaimports
" typemap can be hijacked for adding in proxy class
JavaDoc comments. The
<TT>jniclassimports
</TT> or
<TT>jniclassclassmodifiers
</TT> pragmas can also be used for adding
intermediary JNI class comments and likewise the
<TT>moduleimports
</TT> or
<TT>moduleclassmodifiers
</TT> pragmas for the module class. Here is
an example adding in a proxy class and method comment:
</P>%javamethodmodifiers Barmy::lose_marbles()
" * Calling this method will make you mad.
* Use with
<b
>utmost
</b
> caution.
%typemap(javaimports) Barmy
"/** The crazy class. Use as a last resort. */
"<P> Note the
"public
" added at the end of the
<TT>%javamethodmodifiers
</TT>
as this is the default for this feature. The generated proxy class with
JavaDoc comments is then as follows:
</P>/** The crazy class. Use as a last resort. */
* Calling this method will make you mad.
* Use with
<b
>utmost
</b
> caution.
public void lose_marbles() {
<H3><A name=
"functional_interface"></A>19.11.2 Functional interface
without proxy classes
</H3><P> It is possible to run SWIG in a mode that does not produce proxy
classes by using the -noproxy commandline option. The interface is
rather primitive when wrapping structures or classes and is accessed
through function calls to the module class. All the functions in the
module class are wrapped by functions with identical names as those in
the intermediary JNI class.
</P><P> Consider the example we looked at when examining proxy classes:
</P>
int spam(int num, Foo* foo);
<P> When using
<TT>-noproxy
</TT>, type wrapper classes are generated
instead of proxy classes. Access to all the functions and variables is
through a C like set of functions where the first parameter passed is
the pointer to the class, that is an instance of a type wrapper class.
Here is what the module class looks like:
</P> public static void Foo_x_get(SWIGTYPE_p_Foo self, int x) {...}
public static int Foo_x_get(SWIGTYPE_p_Foo self) {...}
public static int Foo_spam(SWIGTYPE_p_Foo self, int num, SWIGTYPE_p_Foo foo) {...}
public static SWIGTYPE_p_Foo new_Foo() {...}
public static void delete_Foo(SWIGTYPE_p_Foo self) {...}
<P> This approach is not nearly as natural as using proxy classes as the
functions need to be used like this:
</P>SWIGTYPE_p_Foo foo = example.new_Foo();
example.Foo_x_set(foo,
10);
int var = example.Foo_x_get(foo);
example.Foo_spam(foo,
20, foo);
<P> Unlike proxy classes, there is no attempt at tracking memory. All
destructors have to be called manually for example the
<TT>delete_Foo(foo)
</TT> call above.
</P><H3><A name=
"using_own_jni_functions"></A>19.11.3 Using your own JNI
<P> You may have some hand written JNI functions that you want to use in
addition to the SWIG generated JNI functions. Adding these to your SWIG
generated package is possible using the
<TT>%native
</TT> directive. If
you don't want SWIG to wrap your JNI function then of course you can
simply use the
<TT>%ignore
</TT> directive. However, if you want SWIG to
generate just the Java code for a JNI function then use the
<TT>%native
</TT> directive. The C types for the parameters and return type must be
specified in place of the JNI types and the function name must be the
native method name. For example:
</P>%native (HandRolled) void HandRolled(int, char *);
JNIEXPORT void JNICALL Java_packageName_moduleName_HandRolled(JNIEnv *, jclass,
<P> No C JNI function will be generated and the
<TT>
Java_packageName_moduleName_HandRolled
</TT> function will be accessible
using the SWIG generated Java native method call in the intermediary
JNI class which will look like this:
</P> public final static native void HandRolled(int jarg1, String jarg2);
<P> and as usual this function is wrapped by another which for a global
C function would appear in the module class:
</P> public static void HandRolled(int arg0, String arg1) {
exampleJNI.HandRolled(arg0, arg1);
<P> The
<TT>packageName
</TT> and
<TT>moduleName
</TT> must of course be
correct else you will get linker errors when the JVM dynamically loads
the JNI function. You may have to add in some
"jtype
",
"jstype
",
"javain
" and
"javaout
" typemaps when wrapping some JNI types. Here the
default typemaps work for
<TT>int
</TT> and
<TT>char *
</TT>.
</P><P> In summary the
<TT>%native
</TT> directive is telling SWIG to
generate the Java code to access the JNI C code, but not the JNI C
function itself. This directive is only really useful if you want to
mix your own hand crafted JNI code and the SWIG generated code into one
Java class or package.
</P><H3><A name=
"performance"></A>19.11.4 Performance concerns and hints
</H3>
<P> If you're directly manipulating huge arrays of complex objects from
Java, performance may suffer greatly when using the array functions in
<TT>arrays_java.i
</TT>. Try and minimise the expensive JNI calls to C/C++
functions, perhaps by using temporary Java variables instead of
accessing the information directly from the C/C++ object.
</P><P> Java classes without any finalizers generally speed up code
execution as there is less for the garbage collector to do. Finalizer
generation can be stopped by using an empty
<TT>javafinalize
</TT>%typemap(javafinalize) SWIGTYPE
""<P> However, you will have to be careful about memory management and
make sure that you code in a call to the
<TT>delete()
</TT> member
function. This method normally calls the C++ destructor or
<TT>free()
</TT><H2><A name=
"java_examples"></A>19.12 Examples
</H2>
<P> The directory Examples/java has a number of further examples. Take a
look at these if you want to see some of the techniques described in
action. The Examples/index.html file in the parent directory contains
the SWIG Examples Documentation and is a useful starting point. If your
SWIG installation went well Unix users should be able to type
<TT>make
</TT> in each example directory, then
<TT>java main
</TT> to see them running.
For the benefit of Windows users, there are also Visual C++ project
files in a couple of the
<A href=
"#examples">Windows Examples
</A>.
</P><H1><A name=
"Modula3"></A>20 SWIG and Modula-
3</H1>
<LI><A href=
"#modula3_overview">Overview
</A>
<LI><A href=
"#whyscripting">Why not scripting ?
</A></LI>
<LI><A href=
"#whymodula3">Why Modula-
3 ?
</A></LI>
<LI><A href=
"#whycpp">Why C / C++ ?
</A></LI>
<LI><A href=
"#whyswig">Why SWIG ?
</A></LI>
<LI><A href=
"#conception">Conception
</A>
<LI><A href=
"#cinterface">Interfaces to C libraries
</A></LI>
<LI><A href=
"#cppinterface">Interfaces to C++ libraries
</A></LI>
<LI><A href=
"#preliminaries">Preliminaries
</A>
<LI><A href=
"#compilers">Compilers
</A></LI>
<LI><A href=
"#commandline">Additional Commandline Options
</A></LI>
<LI><A href=
"#modula3_typemaps">Modula-
3 typemaps
</A>
<LI><A href=
"#inoutparam">Inputs and outputs
</A></LI>
<LI><A href=
"#ordinals">Subranges, Enumerations, Sets
</A></LI>
<LI><A href=
"#class">Objects
</A></LI>
<LI><A href=
"#imports">Imports
</A></LI>
<LI><A href=
"#exceptions">Exceptions
</A></LI>
<LI><A href=
"#typemap_example">Example
</A></LI>
<LI><A href=
"#hints">More hints to the generator
</A>
<LI><A href=
"#features">Features
</A></LI>
<LI><A href=
"#pragmas">Pragmas
</A></LI>
<LI><A href=
"#remarks">Remarks
</A></LI>
<P> This chapter describes SWIG's support of
<A href=
"http://www.m3.org/">
Modula-
3</A>. You should be familiar with the
<A href=
"#SWIG">basics
</A> of SWIG, especially
<A href=
"Typemaps.html">typemaps
</A>.
</P><H2><A name=
"modula3_overview"></A>20.1 Overview
</H2>
<P> The Modula-
3 support is very basic and highly experimental! Many
features are still not designed satisfyingly and I need more discussion
about the odds and ends. Don't rely on any feature, incompatible
changes are likely in the future! The Modula-
3 generator was already
useful for interfacing to the libraries
</P><LI> <A href=
"http://www.elegosoft.com/cgi-bin/cvsweb.cgi/cm3/m3-libs/plplot/">
<LI> <A href=
"http://www.elegosoft.com/cgi-bin/cvsweb.cgi/cm3/m3-libs/fftw/">
<P> I took some more time to explain why I think it's right what I'm
doing. So the introduction got a bit longer than it should ... ;-)
</P><H3><A name=
"whyscripting"></A>20.1.1 Why not scripting ?
</H3>
<P> SWIG started as wrapper from the fast compiled languages C and C++
to high level scripting languages like Python. Although scripting
languages are designed to make programming life easier by hiding
machine internals from the programmer there are several aspects of
todays scripting languages that are unfavourable in my opinion.
</P><P> Besides C, C++, Cluster (a Modula derivate for Amiga computers) I
evaluated several scripting like languages in the past: Different
dialects of BASIC, Perl, ARexx (a variant of Rexx for Amiga computers),
shell scripts. I found them too inconsistent, too weak in
distinguishing types, too weak in encapsulating pieces of code.
Eventually I have started several projects in Python because of the
fine syntax. But when projects became larger I lost the track. I got
convinced that one can not have maintainable code in a language that is
not statically typed. In fact the main advantages of scripting
languages e.g. matching regular expressions, complex built-in datatypes
like lists, dictionaries, are not advantages of the language itself but
can be provided by function libraries.
</P><H3><A name=
"whymodula3"></A>20.1.2 Why Modula-
3 ?
</H3>
<P> Modula-
3 is a compiler language in the tradition of Niklaus Wirth's
Modula
2, which is in turn a successor of the popular Pascal. I have
chosen Modula-
3 because of its logical syntax, strong modularization,
the type system which is very detailed for machine types compared to
other languages. Of course it supports all of the modern games like
exceptions, objects, garbage collection, threads. While C++ programmers
must control three languages, namely the preprocessor, C and ++,
Modula-
3 is made in one go and the language definition is really
<P> On the one hand Modula-
3 can be safe (but probably less efficient)
in normal modules while providing much static and dynamic safety. On
the other hand you can write efficient but less safe code in the style
of C within
<TT>UNSAFE
</TT> modules.
</P><P> Unfortunately Modula's safety and strength requires more writing
than scripting languages do. Today if I want to safe characters I
prefer Haskell (similar to OCAML) - it's statically typed, too.
</P><H3><A name=
"whycpp"></A>20.1.3 Why C / C++ ?
</H3>
<P> Although it is no problem to write Modula-
3 programs that performs
as fast as C most libraries are not written in Modula-
3 but in C.
Fortunately the binary interface of most function libraries can be
addressed by Modula-
3. Even more fortunately even non-C libraries may
provide C header files. This is where SWIG becomes helpful.
</P><H3><A name=
"whyswig"></A>20.1.4 Why SWIG ?
</H3>
<P> The C headers and the possibility to interface to C libraries still
leaves the work for you to write Modula-
3 interfaces to them. To make
things comfortable you will also need wrappers that convert between
high-level features of Modula-
3 (garbage collecting, exceptions) and
the low level of the C libraries.
</P><P> SWIG converts C headers to Modula-
3 interfaces for you. You could
call the C functions without loss of efficiency but it won't be joy
because you could not pass
<TT>TEXT
</TT>s or open arrays and you would
have to process error return codes rather then exceptions. But using
some typemaps SWIG will also generate wrappers that bring the whole
Modula-
3 comfort to you. If the library API is ill designed writing
appropriate typemaps can be still time-consuming. E.g. C programmers
are very creative to work-around missing data types like (real)
enumerations and sets. You should turn such work-arounds back to the
Modula-
3 way otherwise you lose static safety and consistency.
</P><P> But you have still a problem: C library interfaces are often ill.
They lack for certain information because C compilers wouldn't care
about. You should integrate detailed type information by adding
<TT>typedef
</TT>s and
<TT>const
</TT>s and you should persuade the C library
programmer to add this information to his interface. Only this way
other language users can benefit from your work and only this way you
can easily update your interfaces when a new library version is
released. You will realise that writing
<B> good
</B> SWIG interfaces is
very costly and it will only amortise when considering evolving
<P> Without SWIG you would probably never consider to call C++ libraries
from Modula-
3. But with SWIG this is worth a consideration. SWIG can
write C wrappers to C++ functions and object methods that may throw
exceptions. In fact it breaks down C++ libraries to C interfaces which
can be in turn called from Modula-
3. To make it complete you can hide
the C interface with Modula-
3 classes and exceptions.
</P><P> Although SWIG does the best it can do it can only serve as a one-way
strategy. That means you can use C++ libraries with Modula-
3 (even with
call back functions), but it's certainly not possible to smoothly
integrate Modula-
3 code into a C / C++ project.
</P><H2><A name=
"conception"></A>20.2 Conception
</H2>
<H3><A name=
"cinterface"></A>20.2.1 Interfaces to C libraries
</H3>
<P> Modula-
3 has an integrated support for calling C functions. This is
also extensively used by the standard Modula-
3 libraries to call OS
functions. The Modula-
3 part of SWIG and the corresponding SWIG library
<A href=
"../../Lib/modula3/modula3.swg"><TT>modula3.swg
</TT></A>
contain code that uses these features. Because of the built-in support
there is no need for calling the SWIG kernel to generate wrappers
written in C. All conversion and argument checking can be done in
Modula-
3 and the interfacing is quite efficient. All you have to do is
to write pieces of Modula-
3 code that SWIG puts together.
</P><TABLE border
summary=
"Modula-3 C library support">
<TR><TH colspan=
"2">C library support integrated in Modula-
3</TH><TH></TH>
<TR><TD>Pragma
<TT><* EXTERNAL *
></TT></TD><TD>Precedes a declaration of
a PROCEDURE that is implemented in an external library instead of a
Modula-
3 module.
</TD></TR><TR><TD>Pragma
<TT><* CALLBACK *
></TT></TD><TD>Precedes a declaration of
a PROCEDURE that should be called by external library code.
</TD></TR><TR><TD>Module
<TT>Ctypes
</TT></TD><TD>Contains Modula-
3 types that
match some basic C types.
</TD></TR><TR><TD>Module
<TT>M3toC
</TT></TD><TD>Contains routines that convert
between Modula-
3's
<TT>TEXT
</TT> type and C's
<TT>char *
</TT> type.
</TD><P> In each run of SWIG the Modula-
3 part generates several files:
</P>
<TABLE border
summary=
"Modula-3 generated files">
<TR><TH>Module name scheme
</TH><TH>Identifier for
<TT>%insert
</TT></TH><TH>
<TR><TD>Module
<TT>Raw.i3
</TT></TD><TD><TT>m3rawintf
</TT></TD><TD>
Declaration of types that are equivalent to those of the C library,
<TT>EXTERNAL
</TT> procedures as interface to the C library functions
</TD></TR><TR><TD>Module
<TT>Raw.m3
</TT></TD><TD><TT>m3rawimpl
</TT></TD><TD>Almost
<TR><TD>Module
<TT>.i3
</TT></TD><TD><TT>m3wrapintf
</TT></TD><TD>
Declaration of comfortable wrappers to the C library functions.
</TD></TR><TR><TD>Module
<TT>.m3
</TT></TD><TD><TT>m3wrapimpl
</TT></TD><TD>
Implementation of the wrappers that convert between Modula-
3 and C
types, check for validity of values, hand-over resource management to
the garbage collector using
<TT>WeakRef
</TT>s and raises exceptions.
</TD><TR><TD><TT>m3makefile
</TT></TD><TD><TT>m3makefile
</TT></TD><TD>Add the
modules above to the Modula-
3 project and specify the name of the
Modula-
3 wrapper library to be generated. Today I'm not sure if it is a
good idea to create a
<TT>m3makefile
</TT> in each run, because SWIG
must be started for each Modula-
3 module it creates. Thus the
m3makefile is overwritten each time. :-(
</TD></TR><P> Here's a scheme of how the function calls to Modula-
3 wrappers are
redirected to C library functions:
</P><TABLE summary=
"Modula-3 C library">
<TR><TD align=
"center"> Modula-
3 wrapper
<BR> generated by Modula-
3 part of SWIG
</TD><TD></TD><TD align=
"center"></TD>
<!-- pre tag overrides centering -->
<BR> v
</TD><TD></TD><TD align=
"center"></TD></TR>
<TR><TD align=
"center"> Modula-
3 interface to C
<BR> Module
<TT>Raw.i3
</TT>
<BR> generated by Modula-
3 part of SWIG
</TD><TD>--
></TD><TD align=
"center">
<P> I have still no good conception how one can split C library
interfaces into type oriented interfaces. A Module in Modula-
3 represents an Abstract DataType (or call it a static classes, i.e. a
class without virtual methods). E.g. if you have a principal type, say
<TT>Database
</TT>, it is good Modula-
3 style to set up one Module with the
name
<TT>Database
</TT> where the database type is declared with the
name
<TT>T
</TT> and where all functions are declared that operates on
<P> The normal operation of SWIG is to generate a fixed set of files per
call. To generate multiple modules one has to write one SWIG interface
(different SWIG interfaces can share common data) per module.
Identifiers belonging to a different module may ignored (
<TT>%ignore
</TT>) and the principal type must be renamed (
<TT>%typemap
</TT>).
</P><H3><A name=
"cppinterface"></A>20.2.2 Interfaces to C++ libraries
</H3>
<P> Interfaces to C++ files are much more complicated and there are some
more design decisions that are not made, yet. Modula-
3 has no support
for C++ functions but C++ compilers should support generating C++
functions with a C interface.
</P><P> Here's a scheme of how the function calls to Modula-
3 wrappers a
redirected to C library functions:
</P><TABLE summary=
"Modula-3 C++ library">
<TR><TD align=
"center"> Modula-
3 wrapper
<BR> generated by Modula-
3 part of SWIG
</TD><TD></TD><TD align=
"center">
<!-- pre tag overrides centering -->
<BR> v
</TD><TD></TD><TD align=
"center"> ^
<TR><TD align=
"center"> Modula-
3 interface to C
<BR> Module
<TT>Raw.i3
</TT>
<BR> generated by Modula-
3 part of SWIG
</TD><TD>--
></TD><TD align=
"center">
<BR> module
<TT>_wrap.cxx
</TT>
<BR> generated by the SWIG core
</TD></TR>
<P> Wrapping C++ libraries arises additional problems:
</P>
<LI> Is it sensible to wrap C++ classes with Modula-
3 classes?
</LI>
<LI> How to find the wrapping Modula-
3 class for a class pointer that is
returned by a C++ routine?
</LI><LI> How to deal with multiple inheritance which was neglected for
Modula-
3 for good reasons?
</LI><LI> Is it possible to sub-class C++ classes with Modula-
3 code? This
issue is addressed by directors, a feature that was experimentally
added to some Language modules like
<A href=
"#java_directors">Java
</A> and
<A href=
"#directors">Python
</A>.
</LI><LI> How to manage storage with the garbage collector of Modula-
3?
Support for
<A href=
"#ownership"> <TT>%newobject
</TT> and
<TT>%typemap(newfree)
</TT></A> isn't implemented, yet. What's about
resources that are managed by the garbage collector but shall be passed
back to the storage management of the C++ library? This is a general
issue which is not solved in a satisfying fashion as far as I know.
</LI><LI> How to turn C++ exceptions into Modula-
3 exceptions? There's also
no support for
<A href=
"#exception"> <TT>%exception
</TT></A>, yet.
</LI><P> Be warned: There is no C++ library I wrote a SWIG interface for, so
I'm not sure if this is possible or sensible, yet.
</P><H2><A name=
"preliminaries"></A>20.3 Preliminaries
</H2>
<H3><A name=
"compilers"></A>20.3.1 Compilers
</H3>
<P> There are different Modula-
3 compilers around: cm3, pm3, ezm3,
Klagenfurth Modula-
3, Cambridge Modula-
3. SWIG itself does not contain
compiler specific code but the library file
<A href=
"../../Lib/modula3/modula3.swg"><TT>modula3.swg
</TT></A> may do so. For testing examples I use Critical
<H3><A name=
"commandline"></A>20.3.2 Additional Commandline Options
</H3>
<P> There are some experimental command line options that prevent SWIG
from generating interface files. Instead files are emitted that may
assist you when writing SWIG interface files.
</P><TABLE border
summary=
"Modula-3 specific options">
<TR><TH>Modula-
3 specific options
</TH><TH>Description
</TH></TR>
<TR><TD valign=
"top">-generateconst
<file
></TD><TD> Disable generation
of interfaces and wrappers. Instead write code for computing numeric
values of constants to the specified file.
<BR> C code may contain several constant definitions written as
preprocessor macros. Other language modules of SWIG use
compute-once-use-readonly variables or functions to wrap such
definitions. All of them can invoke C code dynamically for computing
the macro values. But if one wants to turn them into Modula-
3 integer
constants, enumerations or set types, the values of these expressions
has to be known statically. Although definitions like
<TT>(
1 << FLAG_MAXIMIZEWINDOW)
</TT> must be considered as good C style they are
hard to convert to Modula-
3 since the value computation can use every
<BR> Thus I implemented these switch to extract all constant definitions
and write a C program that output the values of them. It works for
numeric constants only and treats all of them as
<TT>double
</TT>.
Future versions may generate a C++ program that can detect the type of
the macros by overloaded output functions. Then strings can also be
<TR><TD valign=
"top">-generaterename
<file
></TD><TD> Disable generation
of interfaces and wrappers. Instead generate suggestions for
<TT><BR> C libraries use a naming style that is neither homogenous nor
similar to that of Modula-
3. C function names often contain a prefix
denoting the library and some name components separated by underscores
or capitalization changes. To get library interfaces that are really
Modula-
3 like you should rename the function names with the
<TT>%rename
</TT> directive. This switch outputs a list of such directives with a name
suggestion generated by a simple heuristic.
</TD></TR><TR><TD valign=
"top">-generatetypemap
<file
></TD><TD> Disable generation
of interfaces and wrappers. Instead generate templates for some basic
<H2><A name=
"modula3_typemaps"></A>20.4 Modula-
3 typemaps
</H2>
<H3><A name=
"inoutparam"></A>20.4.1 Inputs and outputs
</H3>
<P> Each C procedure has a bunch of inputs and outputs. Inputs are
passed as function arguments, outputs are updated referential arguments
and the function value.
</P><P> Each C type can have several typemaps that apply only in case if a
type is used for an input argument, for an output argument, or for a
return value. A further typemap may specify the direction that is used
for certain parameters. I have chosen this separation in order to be
able to write general typemaps for the typemap library
<A href=
"../../Lib/modula3/modula3.swg"><TT>modula3.swg
</TT></A> . In the library code the final usage of the
type is not known. Using separate typemaps for each possible use allows
appropriate definitions for each case. If these pre-definitions are
fine then the direction of the function parameter is the only hint the
<P> The typemaps specific to Modula-
3 have a common name scheme: A
typemap name starts with
"m3
", followed by
"raw
" or
"wrap
" depending on
whether it controls the generation of the Module
<TT>Raw.i3
</TT> or the
Module
<TT>.i3
</TT>, respectively. It follows an
"in
" for typemaps
applied to input argument,
"out
" for output arguments,
"arg
" for all
kind of arguments,
"ret
" for returned values.
</P><P> The main task of SWIG is to build wrapper function, i.e. functions
that convert values between C and Modula-
3 and call the corresponding C
function. Modula-
3 wrapper functions generated by SWIG consist of the
<LI>Generate
<TT>PROCEDURE
</TT> signature.
</LI>
<LI>Declare local variables.
</LI>
<LI>Convert input values from Modula-
3 to C.
</LI>
<LI>Check for input value integrity.
</LI>
<LI>Call the C function.
</LI>
<LI>Check returned values, e.g. error codes.
</LI>
<LI>Convert and write back values into Modula-
3 records.
</LI>
<LI>Free temporary storage.
</LI>
<TABLE border
summary=
"Modula-3 typemaps">
<TR><TH>Typemap
</TH><TH>Example
</TH><TH>Description
</TH></TR>
<TR><TD>m3wrapargvar
</TD><TD><TT>$
1: INTEGER := $
1_name;
</TT></TD><TD>
Declaration of some variables needed for temporary results.
</TD></TR><TR><TD>m3wrapargconst
</TD><TD><TT>$
1 =
"$
1_name
";
</TT></TD><TD>
Declaration of some constant, maybe for debug purposes.
</TD></TR><TR><TD>m3wrapargraw
</TD><TD><TT>ORD($
1_name)
</TT></TD><TD> The
expression that should be passed as argument to the raw Modula-
3 interface function.
</TD></TR><TR><TD>m3wrapargdir
</TD><TD><TT>out
</TT></TD><TD> Referential arguments
can be used for input, output, update. ???
</TD></TR><TR><TD>m3wrapinmode
</TD><TD><TT>READONLY
</TT></TD><TD> One of Modula-
3
parameter modes
<TT>VALUE
</TT> (or empty),
<TT>VAR
</TT>,
<TT>READONLY
</TT><TR><TD>m3wrapinname
</TD><TD></TD><TD> New name of the input argument.
</TD>
<TR><TD>m3wrapintype
</TD><TD></TD><TD> Modula-
3 type of the input
<TR><TD>m3wrapindefault
</TD><TD></TD><TD> Default value of the input
<TR><TD>m3wrapinconv
</TD><TD><TT>$
1 := M3toC.SharedTtoS($
1_name);
</TT></TD><TD>
Statement for converting the Modula-
3 input value to C compliant value.
</TD><TR><TD>m3wrapincheck
</TD><TD><TT>IF Text.Length($
1_name)
> 10 THEN
RAISE E(
"str too long
"); END;
</TT></TD><TD> Check the integrity of the
<TR><TD>m3wrapoutname
</TD><TD></TD><TD> Name of the
<TT>RECORD
</TT>
field to be used for returning multiple values. This applies to
referential output arguments that shall be turned into return values.
</TD><TR><TD>m3wrapouttype
</TD><TD></TD><TD> Type of the value that is
returned instead of a referential output argument.
</TD></TR><TR><TD>m3wrapoutconv
</TD><TD></TD><TD></TD></TR>
<TR><TD>m3wrapoutcheck
</TD><TD></TD><TD></TD></TR>
<TR><TD>m3wrapretraw
</TD><TD></TD><TD></TD></TR>
<TR><TD>m3wrapretname
</TD><TD></TD><TD></TD></TR>
<TR><TD>m3wraprettype
</TD><TD></TD><TD></TD></TR>
<TR><TD>m3wrapretvar
</TD><TD></TD><TD></TD></TR>
<TR><TD>m3wrapretconv
</TD><TD></TD><TD></TD></TR>
<TR><TD>m3wrapretcheck
</TD><TD></TD><TD></TD></TR>
<TR><TD>m3wrapfreearg
</TD><TD><TT>M3toC.FreeSharedS(str,arg1);
</TT></TD><TD>
Free resources that were temporarily used in the wrapper. Since this
step should never be skipped, SWIG will put it in the
<TT>FINALLY
</TT> branch of a
<TT>TRY .. FINALLY
</TT> structure.
</TD></TR><H3><A name=
"ordinals"></A>20.4.2 Subranges, Enumerations, Sets
</H3>
<P> Subranges, enumerations, and sets are machine oriented types that
make Modula very strong and expressive compared with the type systems
of many other languages.
</P><LI> Subranges are used for statically restricted choices of integers.
</LI>
<LI> Enumerations are used for named choices.
</LI>
<LI> Sets are commonly used for flag (option) sets.
</LI>
<P> Using them extensively makes Modula code very safe and readable.
</P>
<P> C supports enumerations, too, but they are not as safe as the ones
of Modula. Thus they are abused for many things: For named choices, for
integer constant definitions, for sets. To make it complete every way
of defining a value in C (
<TT>#define
</TT>,
<TT>const int
</TT>,
<TT>enum
</TT>) is somewhere used for defining something that must be handled
completely different in Modula-
3 (
<TT>INTEGER
</TT>, enumeration,
<TT><P> I played around with several
<TT>%feature
</TT>s and
<TT>%pragma
</TT>
s that split the task up into converting the C bit patterns (integer or
bit set) into Modula-
3 bit patterns (integer or bit set) and change the
type as requested. See the corresponding
<A href=
"../../Examples/modula3/enum/example.i">example
</A>. This is quite messy and not satisfying. So the best what
you can currently do is to rewrite constant definitions manually.
Though this is a tedious work that I'd like to automate.
</P><H3><A name=
"class"></A>20.4.3 Objects
</H3>
<P> Declarations of C++ classes are mapped to
<TT>OBJECT
</TT> types
while it is tried to retain the access hierarchy
"public - protected -
private
" using partial revelation. Though the
<A href=
"../../Examples/modula3/class/example.i">implementation
</A> is not really useful, yet.
</P><H3><A name=
"imports"></A>20.4.4 Imports
</H3>
<P> Pieces of Modula-
3 code provided by typemaps may contain identifiers
from foreign modules. If the typemap
<TT>m3wrapinconv
</TT> for
<TT>blah
*
</TT> contains code using the function
<TT>M3toC.SharedTtoS
</TT> you
may declare
<TT>%typemap(
"m3wrapinconv:import
") blah * %{M3toC%}
</TT>.
Then the module
<TT>M3toC
</TT> is imported if the
<TT>m3wrapinconv
</TT> typemap for
<TT>blah *
</TT> is used at least once. Use
<TT>%typemap(
"m3wrapinconv:import
") blah * %{MyConversions AS M3toC%}
</TT> if you need module renaming. Unqualified import is not supported.
</P><P> It is cumbersome to add this typemap to each piece of Modula-
3 code.
It is especially useful when writing general typemaps for the typemap
library
<A href=
"../../Lib/modula3/modula3.swg"><TT>modula3.swg
</TT></A> . For a monolithic module you might be better off if you add the
<H3><A name=
"exceptions"></A>20.4.5 Exceptions
</H3>
<P> Modula-
3 provides another possibility of an output of a function:
<P> Any piece of Modula-
3 code that SWIG inserts due to a typemap can
raise an exception. This way you can also convert an error code from a
C function into a Modula-
3 exception.
</P><P> The
<TT>RAISES
</TT> clause is controlled by typemaps with the
<TT>
throws
</TT> extension. If the typemap
<TT>m3wrapinconv
</TT> for
<TT>blah
*
</TT> contains code that may raise the exceptions
<TT>OSError.E
</TT> you should declare
<TT>%typemap(
"m3wrapinconv:throws
") blah *
<H3><A name=
"typemap_example"></A>20.4.6 Example
</H3>
<P> The generation of wrappers in Modula-
3 needs very fine control to
take advantage of the language features. Here is an example of a
generated wrapper where almost everything is generated by a typemap:
</P><I> (* %relabel m3wrapinmode m3wrapinname m3wrapintype m3wrapindefault *)
</I>
PROCEDURE Name (READONLY str : TEXT :=
"" )
<I> (* m3wrapoutcheck:throws *)
</I>
: NameResult RAISES {E} =
arg1name =
"str
";
<I>(* m3wrapargconst *)
</I> arg0 : C.char_star;
<I>(* m3wrapretvar *)
</I> arg1 : C.char_star;
<I>(* m3wrapargvar *)
</I><I> (*m3wrapretname m3wraprettype*)
</I>
<I> (*m3wrapoutname m3wrapouttype*)
</I>
arg1 := M3toC.SharedTtoS(str);
<I>(* m3wrapinconv *)
</I> IF Text.Length(arg1)
> 10 THEN
<I>(* m3wrapincheck *)
</I> RAISE E(
"str too long
");
<I> (* m3wrapretraw m3wrapargraw *)
</I>
arg0 := MessyToUnix (arg1, arg2);
result.unixPath := M3toC.CopyStoT(arg0);
<I>(* m3wrapretconv *)
</I> result.checksum := arg2;
<I>(* m3wrapoutconv *)
</I> IF result.checksum =
0 THEN
<I>(* m3wrapoutcheck *)
</I> RAISE E(
"invalid checksum
");
M3toC.FreeSharedS(str,arg1);
<I>(* m3wrapfreearg *)
</I><H2><A name=
"hints"></A>20.5 More hints to the generator
</H2>
<H3><A name=
"features"></A>20.5.1 Features
</H3>
<TABLE border
summary=
"Modula-3 features">
<TR><TH>Feature
</TH><TH>Example
</TH><TH>Description
</TH></TR>
<TR><TD>multiretval
</TD><TD><TT>%m3multiretval get_box;
</TT> or
<TT>
%feature(
"modula3:multiretval
") get_box;
</TT></TD><TD>Let the denoted
function return a
<TT>RECORD
</TT> rather than a plain value. This
<TT>RECORD
</TT> contains all arguments with
"out
" direction including the
return value of the C function (if there is one). If more than one
argument is
"out
" then the function
<B> must
</B> have the
<TT>multiretval
</TT> feature activated, but it is explicitly requested from
the user to prevent mistakes.
</TD></TR><TR><TD>constnumeric
</TD><TD><TT>%constnumeric(
12) twelve;
</TT> or
<TT>
%feature(
"constnumeric
",
"12") twelve;
</TT></TD><TD>This feature can be
used to tell Modula-
3's back-end of SWIG the value of an identifier.
This is necessary in the cases where it was defined by a non-trivial C
expression. This feature is used by the
<TT>-generateconst
</TT> <A href=
"#options">option
</A>. In future it may be generalized to other kind of values such
<H3><A name=
"pragmas"></A>20.5.2 Pragmas
</H3>
<TABLE border
summary=
"Modula-3 pragmas">
<TR><TH>Pragma
</TH><TH>Example
</TH><TH>Description
</TH></TR>
<TR><TD>unsafe
</TD><TD><TT>%pragma(modula3) unsafe=
"true
";
</TT></TD><TD>
Mark the raw interface modules as
<TT>UNSAFE
</TT>. This will be
necessary in many cases.
</TD></TR><TR><TD>library
</TD><TD><TT>%pragma(modula3) library=
"m3fftw
";
</TT></TD><TD>
Specifies the library name for the wrapper library to be created. It
should be distinct from the name of the library to be wrapped.
</TD></TR><H2><A name=
"remarks"></A>20.6 Remarks
</H2>
<LI> The Modula-
3 part of SWIG doesn't try to generate nicely formatted
code. Use
<TT>m3pp
</TT> to postprocess the Modula files, it does a very
<!-- Hand-written HTML -->
<H1><A name=
"MzScheme"></A>21 SWIG and MzScheme
</H1>
<LI><A href=
"#MzScheme_nn2">Creating native MzScheme structures
</A></LI>
<P> This section contains information on SWIG's support of MzScheme.
</P>
<H2><A name=
"MzScheme_nn2"></A>21.1 Creating native MzScheme structures
</H2>
<P> Example interface file:
</P>
/* define a macro for the struct creation */
%define handle_ptr(TYPE,NAME)
%typemap(mzscheme,argout) TYPE *NAME{
Scheme_Object *o = SWIG_NewStructFromPtr($
1, $*
1_mangle);
%typemap(mzscheme,in,numinputs=
0) TYPE *NAME (TYPE temp) {
/* setup the typemaps for the pointer to an output parameter cntrs */
handle_ptr(struct diag_cntrs, cntrs);
<P> Then in scheme, you can use regular struct access procedures like
</P>
; suppose a function created a struct foo as
; (define foo (make-diag-cntrs (#x1 #x2 #x3) (make-inspector))
(format
"0x~x
" (diag-cntrs-field1 foo))
(format
"0x~x
" (diag-cntrs-field2 foo))
<P> That's pretty much it. It works with nested structs as well.
</P>
<H1><A name=
"Ocaml"></A>22 SWIG and Ocaml
</H1>
<LI><A href=
"#Ocaml_nn2">Preliminaries
</A>
<LI><A href=
"#Ocaml_nn3">Running SWIG
</A></LI>
<LI><A href=
"#Ocaml_nn4">Compiling the code
</A></LI>
<LI><A href=
"#Ocaml_nn5">The camlp4 module
</A></LI>
<LI><A href=
"#Ocaml_nn6">Using your module
</A></LI>
<LI><A href=
"#Ocaml_nn7">Compilation problems and compiling with C++
</A></LI>
<LI><A href=
"#Ocaml_nn8">The low-level Ocaml/C interface
</A>
<LI><A href=
"#Ocaml_nn9">The generated module
</A></LI>
<LI><A href=
"#Ocaml_nn10">Enums
</A>
<LI><A href=
"#Ocaml_nn11">Enum typing in Ocaml
</A></LI>
<LI><A href=
"#Ocaml_nn12">Arrays
</A>
<LI><A href=
"#Ocaml_nn13">Simple types of bounded arrays
</A></LI>
<LI><A href=
"#Ocaml_nn14">Complex and unbounded arrays
</A></LI>
<LI><A href=
"#Ocaml_nn15">Using an object
</A></LI>
<LI><A href=
"#Ocaml_nn16">Example typemap for a function taking float *
<LI><A href=
"#Ocaml_nn17">C++ Classes
</A>
<LI><A href=
"#Ocaml_nn18">STL vector and string Example
</A></LI>
<LI><A href=
"#Ocaml_nn19">C++ Class Example
</A></LI>
<LI><A href=
"#Ocaml_nn20">Compiling the example
</A></LI>
<LI><A href=
"#Ocaml_nn21">Sample Session
</A></LI>
<LI><A href=
"#Ocaml_nn22">Director Classes
</A>
<LI><A href=
"#Ocaml_nn23">Director Introduction
</A></LI>
<LI><A href=
"#Ocaml_nn24">Overriding Methods in Ocaml
</A></LI>
<LI><A href=
"#Ocaml_nn25">Director Usage Example
</A></LI>
<LI><A href=
"#Ocaml_nn26">Creating director objects
</A></LI>
<LI><A href=
"#Ocaml_nn27">Typemaps for directors,
<TT>directorin,
directorout, directorargout
</TT></A></LI><LI><A href=
"#Ocaml_nn28"><TT>directorin
</TT> typemap
</A></LI>
<LI><A href=
"#Ocaml_nn29"><TT>directorout
</TT> typemap
</A></LI>
<LI><A href=
"#Ocaml_nn30"><TT>directorargout
</TT> typemap
</A></LI>
<LI><A href=
"#Ocaml_nn31">Exceptions
</A></LI>
<P> This chapter describes SWIG's support of Ocaml. Ocaml is a
relatively recent addition to the ML family, and is a recent addition
to SWIG. It's the second compiled, typed language to be added. Ocaml
has widely acknowledged benefits for engineers, mostly derived from a
sophistocated type system, compile-time checking which eliminates
several classes of common programming errors, and good native
performance. While all of this is wonderful, there are well-written C
and C++ libraries that Ocaml users will want to take advantage of as
part of their arsenal (such as SSL and gdbm), as well as their own
mature C and C++ code. SWIG allows this code to be used in a natural,
type-safe way with Ocaml, by providing the necessary, but repetetive
glue code which creates and uses Ocaml values to communicate with C and
C++ code. In addition, SWIG also produces the needed Ocaml source that
binds variants, functions, classes, etc.
</P><P> If you're not familiar with the Objective Caml language, you can
visit
<A href=
"http://www.ocaml.org/">The Ocaml Website
</A>.
</P><H2><A name=
"Ocaml_nn2"></A>22.1 Preliminaries
</H2>
<P> SWIG
1.3 works with Ocaml
3.04 and above. Given the choice, you
should use the latest stable release. The SWIG Ocaml module has been
tested on Linux (x86,PPC,Sparc) and Cygwin on Windows. The best way to
determine whether your system will work is to compile the examples and
test-suite which come with SWIG. You can do this by running
<TT>make
check
</TT> from the SWIG root directory after installing SWIG. The
Ocaml module has been tested using the system's dynamic linking (the
usual -lxxx against libxxx.so, as well as with Gerd Stolpmann's
<A href=
"http://www.ocaml-programming.de/packages/documentation/dl/">Dl package
</A> . The ocaml_dynamic and ocaml_dynamic_cpp targets in the
file Examples/Makefile illustrate how to compile and link SWIG modules
that will be loaded dynamically. This has only been tested on Linux so
<H3><A name=
"Ocaml_nn3"></A>22.1.1 Running SWIG
</H3>
<P> The basics of getting a SWIG Ocaml module up and running can be seen
from one of SWIG's example Makefiles, but is also described here. To
build an Ocaml module, run SWIG using the
<TT>-ocaml
</TT> option.
</P><P> This will produce
3 files. The file
<TT>example_wrap.c
</TT> contains
all of the C code needed to build an Ocaml module. To build the module,
you will compile the file
<TT>example_wrap.c
</TT> with
<TT>ocamlc
</TT> or
<TT>ocamlopt
</TT> to create the needed .o file. You will need to
compile the resulting .ml and .mli files as well, and do the final link
with -custom (not needed for native link).
</P><H3><A name=
"Ocaml_nn4"></A>22.1.2 Compiling the code
</H3>
<P> The O'Caml SWIG module now requires you to compile a module (
<TT>
Swig
</TT>) separately. In addition to aggregating common SWIG
functionality, the Swig module contains the data structure that
represents C/C++ values. This allows easier data sharing between
modules if two or more are combined, because the type of each SWIG'ed
module's c_obj is derived from Swig.c_obj_t. This also allows SWIG to
acquire new conversions painlessly, as well as giving the user more
freedom with respect to custom typing. Use
<TT>ocamlc
</TT> or
<TT>ocamlopt
</TT> to compile your SWIG interface like:
</P>% swig -ocaml -co swig.mli ; swig -ocaml co swig.ml
% ocamlc -c swig.mli ; ocamlc -c swig.ml
% ocamlc -c -ccopt
"-I/usr/include/foo
" example_wrap.c
<P> <TT>ocamlc
</TT> is aware of .c files and knows how to handle them.
Unfortunately, it does not know about .cxx, .cc, or .cpp files, so when
SWIG is invoked in C++ mode, you must:
</P>% cp example_wrap.cxx example_wrap.cxx.c
<BR>% ocamlc -c ... -ccopt -xc++ example_wrap.cxx.c
<H3><A name=
"Ocaml_nn5"></A>22.1.3 The camlp4 module
</H3>
<P> The camlp4 module (swigp4.ml -
> swigp4.cmo) contains a simple
rewriter which makes C++ code blend more seamlessly with objective caml
code. It's use is optional, but encouraged. The source file is included
in the Lib/ocaml directory of the SWIG source distribution. You can
checkout this file with
<TT>"swig -ocaml -co swigp4.ml
"</TT>. You
should compile the file with
<TT>"ocamlc -I `camlp4 -where` -pp
'camlp4o pa_extend.cmo q_MLast.cmo' -c swigp4.ml
"</TT></P><P> The basic principle of the module is to recognize certain non-caml
expressions and convert them for use with C++ code as interfaced by
SWIG. The camlp4 module is written to work with generated SWIG
interfaces, and probably isn't great to use with anything else.
</P><P> Here are the main rewriting rules:
</P>
<TABLE border=
"1" summary=
"Rewriting rules">
<TR><TH>Input
</TH><TH>Rewritten to
</TH></TR>
<BR> atoi'(
"0") or
<BR> _exit'(
0)
</TD><TD>f(C_list [ ... ]) as in
<BR> atoi (C_list [ C_string
"0" ]) or
<BR> _exit (C_list [ C_int
0 ])
</TD></TR>
<TR><TD>object -
> method ( ... )
</TD><TD>(invoke object)
"method
"
(C_list [ ... ])
</TD></TR><TR><TD> object
<I> 'binop
</I> argument as in
<BR> a '+= b
</TD><TD> (invoke object)
"+=
" argument as in
<BR> (invoke a)
"+=
" b
</TD><TD></TD></TR>
<TR><TH colspan=
"2">Note that because camlp4 always recognizes
<< and
>>, they are replaced by lsl and lsr in operator names.
</TH></TR>
<TR><TD><I> 'unop
</I> object as in
<BR> '! a
</TD><TD> (invoke a)
"!
" C_void
</TD></TR>
<TR><TD><B> Smart pointer access like this
</B>
<BR> object '-
> method ( args )
<BR></TD><TD> (invoke (invoke object
"-
>" C_void))
</TD></TR>
<TR><TD><B> Invoke syntax
</B>
<BR> object . '( ... )
</TD><TD> (invoke object)
"()
" (C_list [ ... ])
</TD>
<TR><TD><B> Array syntax
</B>
<BR> object '[
10 ]
</TD><TD> (invoke object)
"[]
" (C_int
10)
</TD></TR>
<TR><TD><B> Assignment syntax
</B>
<BR> let a = '
10 and b = '
"foo
" and c = '
1.0 and d = 'true
</TD><TD> let
a = C_int
10 and b = C_string
"foo
" and c = C_double
1.0 and d = C_bool
<TR><TD><B> Cast syntax
</B>
<BR> let a = _atoi '(
"2") as int
<BR> let b = (getenv
"PATH
") to string
<BR> This works for int, string, float, bool
</TD><TD> let a = get_int
(_atoi (C_string
"2"))
<BR> let b = C_string (getenv
"PATH
")
</TD></TR>
<H3><A name=
"Ocaml_nn6"></A>22.1.4 Using your module
</H3>
<P> You can test-drive your module by building a toplevel ocaml
interpreter. Consult the ocaml manual for details.
</P><P> When linking any ocaml bytecode with your module, use the -custom
option to build your functions into the primitive list. This option is
not needed when you build native code.
</P><H3><A name=
"Ocaml_nn7"></A>22.1.5 Compilation problems and compiling
<P> As mentioned above, .cxx files need special handling to be compiled
with
<TT>ocamlc
</TT>. Other than that, C code that uses
<TT>class
</TT> as a non-keyword, and C code that is too liberal with pointer types may
not compile under the C++ compiler. Most code meant to be compiled as
C++ will not have problems.
</P><H2><A name=
"Ocaml_nn8"></A>22.2 The low-level Ocaml/C interface
</H2>
<P> In order to provide access to overloaded functions, and provide
sensible outputs from them, all C entites are represented as members of
<P> In the code as seen by the typemap writer, there is a value,
swig_result, that always contains the current return data. It is a
list, and must be appended with the caml_list_append function, or with
functions and macros provided by objective caml.
| C_obj of (string -
> c_obj -
> c_obj)
<P> A few functions exist which generate and return these:
</P>
<LI>caml_ptr_val receives a c_obj and returns a void *.
This should be
used for all pointer purposes.
</LI><LI>caml_long_val receives a c_obj and returns a long.
This should be
used for most integral purposes.
<LI>caml_val_ptr receives a void * and returns a c_obj.
</LI>
<LI>caml_val_bool receives a C int and returns a c_obj representing it's
<LI>caml_val_(u)?(char|short|int|long|float|double) receives an
appropriate C value and returns a c_obj representing it.
</LI><LI>caml_val_string receives a char * and returns a string value.
</LI>
<LI>caml_val_string_len receives a char * and a length and returns a
<LI>caml_val_obj receives a void * and an object type and returns a
C_obj, which contains a closure giving method access.
</LI><P> Because of this style, a typemap can return any kind of value it
wants from a function.
This enables out typemaps and inout typemaps to
work well.
The one thing to remember about outputting values is that
you must append them to the return list with swig_result =
caml_list_append(swig_result,v).
</P><P> This function will return a new list that has your element
appended. Upon return to caml space, the fnhelper function beautifies
the result. A list containing a single item degrades to only that item
(i.e. [ C_int
3 ] -
> C_int
3), and a list containing more than one item
is wrapped in C_list (i.e. [ C_char 'a' ; C_char 'b' -
> C_list [ C_char
'a' ; C_char b ]).
This is in order to make return values easier to
handle when functions have only one return value, such as constructors,
and operators.
In addition, string, pointer, and object values are
interchangable with respect to caml_ptr_val, so you can allocate memory
as caml strings and still use the resulting pointers for C purposes,
even using them to construct simple objects on. Note, though, that
foreign C++ code does not respect the garbage collector, although the
<P> The wild card type that you can use in lots of different ways is
C_obj. It allows you to wrap any type of thing you like as an object
using the same mechanism that the ocaml module does.
When evaluated in
caml_ptr_val, the returned value is the result of a call to the
object's
"&" operator, taken as a pointer.
</P><P> You should only construct values using objective caml, or using the
functions caml_val_* functions provided as static functions to a SWIG
ocaml module, as well as the caml_list_* functions. These functions
provide everything a typemap needs to produce values. In addition,
value items pass through directly, but you must make your own type
signature for a function that uses value in this way.
</P><H3><A name=
"Ocaml_nn9"></A>22.2.1 The generated module
</H3>
<P> The SWIG
<TT>%module
</TT> directive specifies the name of the Ocaml
module to be generated. If you specified `
<TT>%module example
</TT>',
then your Ocaml code will be accessible in the module Example. The
module name is always capitalized as is the ocaml convention. Note that
you must not use any Ocaml keyword to name your module. Remember that
the keywords are not the same as the C++ ones.
</P><P> You can introduce extra code into the output wherever you like with
SWIG. These are the places you can introduce code:
</P><TABLE border=
"1" summary=
"Extra code sections">
<TR><TD>"header
"</TD><TD>This code is inserted near the beginning of the
C wrapper file, before any function definitions.
</TD></TR><TR><TD>"wrapper
"</TD><TD>This code is inserted in the function
definition section.
</TD></TR><TR><TD>"runtime
"</TD><TD>This code is inserted near the end of the C
<TR><TD>"mli
"</TD><TD>This code is inserted into the caml interface
file. Special signatures should be inserted here.
</TD></TR><TR><TD>"ml
"</TD><TD>This code is inserted in the caml code defining the
interface to your C code. Special caml code, as well as any
initialization which should run when the module is loaded may be
<TR><TD>"classtemplate
"</TD><TD>The
"classtemplate
" place is special
because it describes the output SWIG will generate for class
<H3><A name=
"Ocaml_nn10"></A>22.2.2 Enums
</H3>
<P> SWIG will wrap enumerations as polymorphic variants in the output
Ocaml code, as above in C_enum.
In order to support all C++-style uses
of enums, the function int_to_enum and enum_to_int are provided for
ocaml code to produce and consume these values as integers.
Other than
that, correct uses of enums will not have a problem.
Since enum labels
may overlap between enums, the enum_to_int and int_to_enum functions
take an enum type label as an argument. Example:
</P>enum c_enum_type { a =
1, b, c =
4, d =
8 };
enum c_enum_type { a =
1, b, c =
4, d =
8 };
<P> The output mli contains:
</P>
val int_to_enum c_enum_type -
> int -
> c_obj
val enum_to_int c_enum_type -
> c_obj -
> c_obj
<P> So it's possible to do this:
</P>
bash-
2.05a$ ocamlmktop -custom enum_test_wrap.o enum_test.cmo -o enum_test_top
bash-
2.05a$ ./enum_test_top
Objective Caml version
3.04val x : Enum_test.c_obj = C_enum `a
# enum_to_int `c_enum_type x ;;
- : Enum_test.c_obj = C_int
1# int_to_enum `c_enum_type
4 ;;
- : Enum_test.c_obj = C_enum `c
<H4><A name=
"Ocaml_nn11"></A>22.2.2.1 Enum typing in Ocaml
</H4>
<P> The ocaml SWIG module now has support for loading and using multiple
SWIG modules at the same time. This enhances modularity, but presents
problems when used with a language which assumes that each module's
types are complete at compile time. In order to achieve total soundness
enum types are now isolated per-module. The type issue matters when
values are shared between functions imported from different modules.
You must convert values to master values using the swig_val function
before sharing them with another module.
</P><H3><A name=
"Ocaml_nn12"></A>22.2.3 Arrays
</H3>
<H4><A name=
"Ocaml_nn13"></A>22.2.3.1 Simple types of bounded arrays
</H4>
<P> SWIG has support for array types, but you generally will need to
provide a typemap to handle them. You can currently roll your own, or
expand some of the macros provided (but not included by default) with
the SWIG distribution.
</P><P> By including
"carray.i
", you will get access to some macros that
help you create typemaps for array types fairly easily.
</P><P> <TT>%make_simple_array_typemap
</TT> is the easiest way to get access
to arrays of simple types with known bounds in your code, but this only
works for arrays whose bounds are completely specified.
</P><H4><A name=
"Ocaml_nn14"></A>22.2.3.2 Complex and unbounded arrays
</H4>
<P> Unfortunately, unbounded arrays and pointers can't be handled in a
completely general way by SWIG, because the end-condition of such an
array can't be predicted. In some cases, it will be by consent (e.g. an
array of four or more chars), sometimes by explicit length (char
*buffer, int len), and sometimes by sentinel value (
0,-
1,etc.). SWIG
can't predict which of these methods will be used in the array, so you
have to specify it for yourself in the form of a typemap.
</P><H4><A name=
"Ocaml_nn15"></A>22.2.3.3 Using an object
</H4>
<P> It's possible to use C++ to your advantage by creating a simple
object that provides access to your array. This may be more desirable
in some cases, since the object can provide bounds checking, etc., that
<P> Consider writing an object when the ending condition of your array
is complex, such as using a required centinel, etc.
</P><H4><A name=
"Ocaml_nn16"></A>22.2.3.4 Example typemap for a function
taking float * and int
</H4><P> This is a simple example
<TT>in
</TT> typemap for an array of float,
where the length of the array is specified as an extra parameter. Other
such typemaps will work similarly. In the example, the function
printfloats is called with a float array, and specified length. The
actual length reported in the len argument is the length of the array
passed from ocaml, making passing an array into this type of function
<TABLE bgcolor=
"#dddddd" border=
"1" summary=
"float * and int typemap example">
<CENTER>tarray.i
</CENTER>
void printfloats( float *tab, int len ) {
for( i =
0; i
< len; i++ ) {
printf(
"%f
", tab[i] );
printf(
"\n
" );
%typemap(in) (float *tab, int len) {
$
2 = caml_array_len($input);
$
1 = ($*
1_type *)malloc( $
2 * sizeof( float ) );
for( i =
0; i
< $
2; i++ ) {
$
1[i] = caml_double_val(caml_array_nth($input,i));
void printfloats( float *tab, int len );
<TR><TH>Sample Run
</TH></TR>
# _printfloats (C_array [| C_double
1.0 ; C_double
3.0 ; C_double
5.6666 |]) ;;
1.000000 3.000000 5.666600
- : Tarray.c_obj = C_void
<H3><A name=
"Ocaml_nn17"></A>22.2.4 C++ Classes
</H3>
<P> C++ classes, along with structs and unions are represented by C_obj
(string -
> c_obj -
> c_obj) wrapped closures.
These objects contain a
method list, and a type, which allow them to be used like C++ objects.
When passed into typemaps that use pointers, they degrade to pointers
through their
"&" method.
Every method an object has is represented as
a string in the object's method table, and each method table exists in
memory only once.
In addition to any other operators an object might
have, certain builtin ones are provided by SWIG: (all of these take no
<TABLE summary=
"SWIG provided operators">
<TR><TD>"~
"</TD><TD>Delete this object
</TD></TR>
<TR><TD>"&"</TD><TD>Return an ordinary C_ptr value representing this
object's address
</TD></TR><TR><TD>"sizeof
"</TD><TD>If enabled with (
"sizeof
"=
"1") on the module
node, return the object's size in char.
</TD></TR><TR><TD>":methods
"</TD><TD>Returns a list of strings containing the
names of the methods this object contains
</TD></TR><TR><TD>":classof
"</TD><TD>Returns the name of the class this object
<TR><TD>":parents
"</TD><TD>Returns a list of all direct parent classes
which have been wrapped by SWIG.
</TD></TR><TR><TD>"::[parent-class]
"</TD><TD>Returns a view of the object as the
indicated parent class. This is mainly used internally by the SWIG
module, but may be useful to client programs.
</TD></TR><TR><TD>"[member-variable]
"</TD><TD>Each member variable is wrapped as a
method with an optional parameter. Called with one argument, the member
variable is set to the value of the argument. With zero arguments, the
value is returned.
</TD></TR><P> Note that this string belongs to the wrapper object, and not the
underlying pointer, so using create_[x]_from_ptr alters the returned
value for the same object.
</P><H4><A name=
"Ocaml_nn18"></A>22.2.4.1 STL vector and string Example
</H4>
<P> Standard typemaps are now provided for STL vector and string. More
are in the works. STL strings are passed just like normal strings, and
returned as strings. STL string references don't mutate the original
string, (which might be surprising), because Ocaml strings are mutable
but have fixed length. Instead, use multiple returns, as in the
<TABLE bgcolor=
"#dddddd" border=
"1" summary=
"STL vector and string example">
<CENTER>example.i
</CENTER>
#include
"example.h
" %template(StringVector) std::vector
< string
>;
<TR><TD><FONT size=
"-1"><I>This example is in Examples/ocaml/stl
</I></FONT>
<P> Since there's a makefile in that directory, the example is easy to
<P> Here's a sample transcript of an interactive session using a string
vector after making a toplevel (make toplevel). This example uses the
bash-
2.05a$ ./example_top
Objective Caml version
3.06 Camlp4 Parsing version
3.06# let x = new_StringVector '() ;;
val x : Example.c_obj = C_obj
<fun
># x -
> ":methods
" () ;;
[C_string
"nop
"; C_string
"size
"; C_string
"empty
"; C_string
"clear
";
C_string
"push_back
"; C_string
"[]
"; C_string
"=
"; C_string
"set
";
C_string
"~
"; C_string
"&"; C_string
":parents
"; C_string
":classof
";
C_string
":methods
"]
# x -
> push_back (
"foo
") ;;
- : Example.c_obj = C_void
# x -
> push_back (
"bar
") ;;
- : Example.c_obj = C_void
# x -
> push_back (
"baz
") ;;
- : Example.c_obj = C_void
- : Example.c_obj = C_string
"bar
"# x -
> set (
1,
"spam
") ;;
- : Example.c_obj = C_void
- : Example.c_obj = C_string
"spam
"# for i =
0 to (x -
> size() as int) -
1 do
print_endline ((x '[i to int]) as string)
<H4><A name=
"Ocaml_nn19"></A>22.2.4.2 C++ Class Example
</H4>
<P> Here's a simple example using Trolltech's Qt Library:
</P>
<TABLE bgcolor=
"#dddddd" border=
"1" summary=
"Qt Library example">
#include
<qapplication.h
>#include
<qpushbutton.h
> QApplication( int argc, char **argv );
void setMainWidget( QWidget *widget );
QPushButton( char *str, QWidget *w );
void resize( int x, int y );
<H4><A name=
"Ocaml_nn20"></A>22.2.4.3 Compiling the example
</H4>
bash-
2.05a$ QTPATH=/your/qt/path
bash-
2.05a$ for file in swig.mli swig.ml swigp4.ml ; do swig -ocaml -co $file ; done
bash-
2.05a$ ocamlc -c swig.mli ; ocamlc -c swig.ml
bash-
2.05a$ ocamlc -I `camlp4 -where` -pp
"camlp4o pa_extend.cmo q_MLast.cmo
" -c swigp4.ml
bash-
2.05a$ swig -ocaml -c++ -I$QTPATH/include qt.i
bash-
2.05a$ mv qt_wrap.cxx qt_wrap.c
bash-
2.05a$ ocamlc -c -ccopt -xc++ -ccopt -g -g -ccopt -I$QTPATH/include qt_wrap.c
bash-
2.05a$ ocamlc -c qt.mli
bash-
2.05a$ ocamlc -c qt.ml
bash-
2.05a$ ocamlmktop -custom swig.cmo -I `camlp4 -where` \
camlp4o.cma swigp4.cmo qt_wrap.o qt.cmo -o qt_top -cclib \
-L$QTPATH/lib -cclib -lqt
<H4><A name=
"Ocaml_nn21"></A>22.2.4.4 Sample Session
</H4>
Objective Caml version
3.06 Camlp4 Parsing version
3.06# let a = new_QApplication '(
0,
0) ;;
val a : Qt.c_obj = C_obj
<fun
># let hello = new_QPushButton '(
"hi
",
0) ;;
val hello : Qt.c_obj = C_obj
<fun
># hello -
> resize (
100,
30) ;;
<P> Assuming you have a working installation of QT, you will see a
window containing the string
"hi
" in a button.
</P><H3><A name=
"Ocaml_nn22"></A>22.2.5 Director Classes
</H3>
<H4><A name=
"Ocaml_nn23"></A>22.2.5.1 Director Introduction
</H4>
<P> Director classes are classes which allow Ocaml code to override the
public methods of a C++ object. This facility allows the user to use
C++ libraries that require a derived class to provide application
specific functionality in the context of an application or utility
<P> You can turn on director classes by using an optional module
%module(directors=
"1")
// Turn on the director class for a specific class like this:
%feature(
"director
")
<H4><A name=
"Ocaml_nn24"></A>22.2.5.2 Overriding Methods in Ocaml
</H4>
<P> Because the Ocaml language module treats C++ method calls as calls
to a certain function, all you need to do is to define the function
that will handle the method calls in terms of the public methods of the
object, and any other relevant information. The function
<TT>new_derived_object
</TT> uses a stub class to call your methods in place
of the ones provided by the underlying implemenation. The object you
receive is the underlying object, so you are free to call any methods
you want from within your derived method. Note that calls to the
underlying object do not invoke Ocaml code. You need to handle that
<P> <TT>new_derived_object
</TT> receives your function, the function
that creates the underlying object, and any constructor arguments, and
provides an object that you can use in any usual way. When C++ code
calls one of the object's methods, the object invokes the Ocaml
function as if it had been invoked from Ocaml, allowing any method
definitions to override the C++ ones.
</P><P> In this example, I'll examine the objective caml code involved in
providing an overloaded class. This example is contained in
Examples/ocaml/shapes.
</P><H4><A name=
"Ocaml_nn25"></A>22.2.5.3 Director Usage Example
</H4>
<TABLE bgcolor=
"#dddddd" border=
"1" summary=
"Director usage example">
<CENTER>example_prog.ml
</CENTER>
let triangle_class pts ob meth args =
C_list [ x_arg ; y_arg ] -
> and ya = y_arg as float in
(point_in_triangle pts xa ya) to bool
| _ -
> raise (Failure
"cover needs two double arguments.
"))
| _ -
> (invoke ob) meth args ;;
(triangle_class ((
0.0,
0.0),(
0.5,
1.0),(
1.0,
0.0)))
let _ = _draw_shape_coverage '(triangle, C_int
60, C_int
20) ;;
<P> This is the meat of what you need to do. The actual
"class
"
definition containing the overloaded method is defined in the function
triangle_class. This is a lot like the class definitions emitted by
SWIG, if you look at example.ml, which is generated when SWIG consumes
example.i. Basically, you are given the arguments as a c_obj and the
method name as a string, and you must intercept the method you are
interested in and provide whatever return value you need. Bear in mind
that the underlying C++ code needs the right return type, or an
exception will be thrown. This exception will generally be Failure, or
NotObject. You must call other ocaml methods that you rely on yourself.
Due to the way directors are implemented, method calls on your object
from with ocaml code will always invoke C++ methods even if they are
<P> In the example, the draw_shape_coverage function plots the indicated
number of points as either covered (
<TT>x
</TT>) or uncovered ( )
between
0 and
1 on the X and Y axes. Your shape implementation can
provide any coverage map it likes, as long as it responds to the
"cover
" method call with a boolean return (the underlying method
returns bool). This might allow a tricky shape implementation, such as
a boolean combination, to be expressed in a more effortless style in
ocaml, while leaving the
"engine
" part of the program in C++.
</P><H4><A name=
"Ocaml_nn26"></A>22.2.5.4 Creating director objects
</H4>
<P> The definition of the actual object triangle can be described this
(triangle_class ((
0.0,
0.0),(
0.5,
1.0),(
1.0,
0.0)))
<P> The first argument to
<TT>new_derived_object
</TT>, new_shape is the
method which returns a shape instance. This function will be invoked
with the third argument will be appended to the argument list [ C_void
]. In the example, the actual argument list is sent as (C_list [ C_void
; C_void ]). The augmented constructor for a director class needs the
first argument to determine whether it is being constructed as a
derived object, or as an object of the indicated type only (in this
case
<TT>shape
</TT>). The Second argument is a closure that will be
added to the final C_obj.
</P><P> The actual object passed to the self parameter of the director
object will be a C_director_core, containing a c_obj option ref and a
c_obj. The c_obj provided is the same object that will be returned from
new_derived object, that is, the object exposing the overridden
methods. The other part is an option ref that will have its value
extracted before becoming the
<TT>ob
</TT> parameter of your class
closure. This ref will contain
<TT>None
</TT> if the C++ object
underlying is ever destroyed, and will consequently trigger an
exception when any method is called on the object after that point (the
actual raise is from an inner function used by new_derived_object, and
throws NotObject). This prevents a deleted C++ object from causing a
core dump, as long as the object is destroyed properly.
</P><H4><A name=
"Ocaml_nn27"></A>22.2.5.5 Typemaps for directors,
<TT>
directorin, directorout, directorargout
</TT></H4><P> Special typemaps exist for use with directors, the
<TT>directorin,
directorout, directorargout
</TT> are used in place of
<TT>in, out,
argout
</TT> typemaps, except that their direction is reversed. They
provide for you to provide argout values, as well as a function return
value in the same way you provide function arguments, and to receive
arguments the same way you normally receive function returns.
</P><H4><A name=
"Ocaml_nn28"></A>22.2.5.6 <TT>directorin
</TT> typemap
</H4>
<P> The
<TT>directorin
</TT> typemap is used when you will receive
arguments from a call made by C++ code to you, therefore, values will
be translated from C++ to ocaml. You must provide some valid C_obj
value. This is the value your ocaml code receives when you are called.
In general, a simple
<TT>directorin
</TT> typemap can use the same body
as a simple
<TT>out
</TT> typemap.
</P><H4><A name=
"Ocaml_nn29"></A>22.2.5.7 <TT>directorout
</TT> typemap
</H4>
<P> The
<TT>directorout
</TT> typemap is used when you will send an
argument from your code back to the C++ caller. That is; directorout
specifies a function return conversion. You can usually use the same
body as an
<TT>in
</TT> typemap for the same type, except when there are
special requirements for object ownership, etc.
</P><H4><A name=
"Ocaml_nn30"></A>22.2.5.8 <TT>directorargout
</TT> typemap
</H4>
<P> C++ allows function arguments which are by pointer (*) and by
reference (
&) to receive a value from the called function, as well as
sending one there. Sometimes, this is the main purpose of the argument
given.
<TT>directorargout
</TT> typemaps allow your caml code to emulate
this by specifying additional return values to be put into the output
parameters. The SWIG ocaml module is a bit loose in order to make code
eaiser to write. In this case, your return to the caller must be a list
containing the normal function return first, followed by any argout
values in order. These argout values will be taken from the list and
assigned to the values to be returned to C++ through directorargout
typemaps. In the event that you don't specify all of the necessary
values, integral values will read zero, and struct or object returns
have undefined results.
</P><H3><A name=
"Ocaml_nn31"></A>22.2.6 Exceptions
</H3>
<P> Catching exceptions is now supported using SWIG's %exception
feature. A simple but not too useful example is provided by the
throw_exception testcase in Examples/test-suite. You can provide your
<H1><A name=
"Perl5"></A>23 SWIG and Perl5
</H1>
<LI><A href=
"#Perl5_nn2">Overview
</A></LI>
<LI><A href=
"#Perl5_nn3">Preliminaries
</A>
<LI><A href=
"#Perl5_nn4">Getting the right header files
</A></LI>
<LI><A href=
"#Perl5_nn5">Compiling a dynamic module
</A></LI>
<LI><A href=
"#Perl5_nn6">Building a dynamic module with MakeMaker
</A></LI>
<LI><A href=
"#Perl5_nn7">Building a static version of Perl
</A></LI>
<LI><A href=
"#Perl5_nn8">Using the module
</A></LI>
<LI><A href=
"#Perl5_nn9">Compilation problems and compiling with C++
</A></LI>
<LI><A href=
"#Perl5_nn10">Compiling for
64-bit platforms
</A></LI>
<LI><A href=
"#Perl5_nn11">Building Perl Extensions under Windows
</A>
<LI><A href=
"#Perl5_nn12">Running SWIG from Developer Studio
</A></LI>
<LI><A href=
"#Perl5_nn13">Using other compilers
</A></LI>
<LI><A href=
"#Perl5_nn14">The low-level interface
</A>
<LI><A href=
"#Perl5_nn15">Functions
</A></LI>
<LI><A href=
"#Perl5_nn16">Global variables
</A></LI>
<LI><A href=
"#Perl5_nn17">Constants
</A></LI>
<LI><A href=
"#Perl5_nn18">Pointers
</A></LI>
<LI><A href=
"#Perl5_nn19">Structures
</A></LI>
<LI><A href=
"#Perl5_nn20">C++ classes
</A></LI>
<LI><A href=
"#Perl5_nn21">C++ classes and type-checking
</A></LI>
<LI><A href=
"#Perl5_nn22">C++ overloaded functions
</A></LI>
<LI><A href=
"#Perl5_nn23">Operators
</A></LI>
<LI><A href=
"#Perl5_nn24">Modules and packages
</A></LI>
<LI><A href=
"#Perl5_nn25">Input and output parameters
</A></LI>
<LI><A href=
"#Perl5_nn26">Exception handling
</A></LI>
<LI><A href=
"#Perl5_nn27">Remapping datatypes with typemaps
</A>
<LI><A href=
"#Perl5_nn28">A simple typemap example
</A></LI>
<LI><A href=
"#Perl5_nn29">Perl5 typemaps
</A></LI>
<LI><A href=
"#Perl5_nn30">Typemap variables
</A></LI>
<LI><A href=
"#Perl5_nn31">Useful functions
</A></LI>
<LI><A href=
"#Perl5_nn32">Typemap Examples
</A>
<LI><A href=
"#Perl5_nn33">Converting a Perl5 array to a char **
</A></LI>
<LI><A href=
"#Perl5_nn34">Return values
</A></LI>
<LI><A href=
"#Perl5_nn35">Returning values from arguments
</A></LI>
<LI><A href=
"#Perl5_nn36">Accessing array structure members
</A></LI>
<LI><A href=
"#Perl5_nn37">Turning Perl references into C pointers
</A></LI>
<LI><A href=
"#Perl5_nn38">Pointer handling
</A></LI>
<LI><A href=
"#Perl5_nn39">Proxy classes
</A>
<LI><A href=
"#Perl5_nn40">Preliminaries
</A></LI>
<LI><A href=
"#Perl5_nn41">Structure and class wrappers
</A></LI>
<LI><A href=
"#Perl5_nn42">Object Ownership
</A></LI>
<LI><A href=
"#Perl5_nn43">Nested Objects
</A></LI>
<LI><A href=
"#Perl5_nn44">Proxy Functions
</A></LI>
<LI><A href=
"#Perl5_nn45">Inheritance
</A></LI>
<LI><A href=
"#Perl5_nn46">Modifying the proxy methods
</A></LI>
<P><B> Caution: This chapter is under repair!
</B></P>
<P> This chapter describes SWIG's support of Perl5. Although the Perl5
module is one of the earliest SWIG modules, it has continued to evolve
and has been improved greatly with the help of SWIG users. For the best
results, it is recommended that SWIG be used with Perl5.003 or later.
Earlier versions are problematic and SWIG generated extensions may not
compile or run correctly.
</P><H2><A name=
"Perl5_nn2"></A>23.1 Overview
</H2>
<P> To build Perl extension modules, SWIG uses a layered approach. At
the lowest level, simple procedural wrappers are generated for
functions, classes, methods, and other declarations in the input file.
Then, for structures and classes, an optional collection of Perl proxy
classes can be generated in order to provide a more natural object
oriented Perl interface. These proxy classes simply build upon the
<P> In describing the Perl interface, this chapter begins by covering
the essentials. First, the problem of configuration, compiling, and
installing Perl modules is discussed. Next, the low-level procedural
interface is presented. Finally, proxy classes are described. Advanced
customization features, typemaps, and other options are found near the
<H2><A name=
"Perl5_nn3"></A>23.2 Preliminaries
</H2>
<P> To build a Perl5 module, run Swig using the
<TT>-perl
</TT> option as
<P> This produces two files. The first file,
<TT>example_wrap.c
</TT>
contains all of the C code needed to build a Perl5 module. The second
file,
<TT>example.pm
</TT> contains supporting Perl code needed to
properly load the module.
</P><P> To build the module, you will need to compile the file
<TT>
example_wrap.c
</TT> and link it with the rest of your program.
</P><H3><A name=
"Perl5_nn4"></A>23.2.1 Getting the right header files
</H3>
<P> In order to compile, SWIG extensions need the following Perl5 header
#include
"Extern.h
"#include
"perl.h
"#include
"XSUB.h
"<P> These are typically located in a directory like this
</P>
/usr/lib/perl5/
5.00503/i386-linux/CORE
<P> The SWIG configuration script automatically tries to locate this
directory so that it can compile examples. However, if you need to find
out where the directory is loaded, an easy way to find out is to run
% perl -e 'use Config; print $Config{archlib};'
/usr/lib/perl5/
5.00503/i386-linux
<H3><A name=
"Perl5_nn5"></A>23.2.2 Compiling a dynamic module
</H3>
<P> The preferred approach to building an extension module is to compile
it into a shared object file or DLL. To do this, you will need to
compile your program using comands like this (shown for Linux):
</P>% gcc -c example_wrap.c -I/usr/lib/perl5/
5.00503/i386-linux/CORE -Dbool=char
% gcc -shared example.o example_wrap.o -o example.so
<P> The exact compiler options vary from platform to platform. SWIG
tries to guess the right options when it is installed. Therefore, you
may want to start with one of the examples in the
<TT>SWIG/Examples/perl5
</TT> directory. If that doesn't work, you will need
to read the man-pages for your compiler and linker to get the right set
of options. You might also check the
<A href=
"http://swig.cs.uchicago.edu/cgi-bin/wiki.pl">SWIG Wiki
</A> for additional information.
</P><P> When linking the module, the name of the shared object file must
match the module name used in the SWIG interface file. If you used `
<TT>%module example
</TT>', then the target should be named `
<TT>example.so
</TT>', `
<TT>example.sl
</TT>', or the appropriate dynamic module name on your
<H3><A name=
"Perl5_nn6"></A>23.2.3 Building a dynamic module with
<P> It is also possible to use Perl to build dynamically loadable
modules for you using the MakeMaker utility. To do this, write a Perl
script such as the following :
</P> `NAME' =
> `example', # Name of package
`LIBS' =
> [`-lm'], # Name of custom libraries
`OBJECT' =
> `example.o example_wrap.o' # Object files
<P> Now, to build a module, simply follow these steps :
</P>
<P> If you are planning to distribute a SWIG-generated module, this is
the preferred approach to compilation. More information about MakeMaker
can be found in
"Programming Perl,
2nd ed.
" by Larry Wall, Tom
Christiansen, and Randal Schwartz.
</P><H3><A name=
"Perl5_nn7"></A>23.2.4 Building a static version of Perl
</H3>
<P> If you machine does not support dynamic loading or if you've tried
to use it without success, you can build a new version of the Perl
interpreter with your SWIG extensions added to it. To build a static
extension, you first need to invoke SWIG as follows :
</P>% swig -perl -static example.i
<P> By default SWIG includes code for dynamic loading, but the
<TT>
-static
</TT> option takes it out.
</P><P> Next, you will need to supply a
<TT>main()
</TT> function that
initializes your extension and starts the Perl interpreter. While, this
may sound daunting, SWIG can do this for you automatically as follows :
</P>extern double My_variable;
// Include code for rebuilding Perl
<P> The same thing can be accomplished by running SWIG as follows :
</P>
% swig -perl -static -lperlmain.i example.i
<P> The
<TT>permain.i
</TT> file inserts Perl's
<TT>main()
</TT> function
into the wrapper code and automatically initializes the SWIG generated
module. If you just want to make a quick a dirty module, this may be
the easiest way. By default, the
<TT>perlmain.i
</TT> code does not
initialize any other Perl extensions. If you need to use other
packages, you will need to modify it appropriately. You can do this by
just copying
<TT>perlmain.i
</TT> out of the SWIG library, placing it in
your own directory, and modifying it to suit your purposes.
</P><P> To build your new Perl executable, follow the exact same procedure
as for a dynamic module, but change the link line to something like
% gcc example.o example_wrap.o -L/usr/lib/perl5/
5.00503/i386-linux/CORE \
-lperl -lsocket -lnsl -lm -o myperl
<P> This will produce a new version of Perl called
<TT>myperl
</TT>. It
should be functionality identical to Perl with your C/C++ extension
added to it. Depending on your machine, you may need to link with
additional libraries such as
<TT>-lsocket, -lnsl, -ldl
</TT>, etc.
</P><H3><A name=
"Perl5_nn8"></A>23.2.5 Using the module
</H3>
<P> To use the module, simply use the Perl
<TT>use
</TT> statement. If
all goes well, you will be able to do this:
</P>print example::fact(
4),
"\n
";
<P> A common error received by first-time users is the following:
</P>
Can't locate example.pm in @INC (@INC contains: /usr/lib/perl5/
5.00503/i386-lin
ux /usr/lib/perl5/
5.00503 /usr/lib/perl5/site_perl/
5.005/i386-linux /usr/lib/pe
rl5/site_perl/
5.005 .) at - line
1.
BEGIN failed--compilation aborted at - line
1.
<P> This error is almost caused when the name of the shared object file
you created doesn't match the module name you specified with the
<TT>%module
</TT> directive.
</P><P> A somewhat related, but slightly different error is this:
</P>
Can't find 'boot_example' symbol in ./example.so
BEGIN failed--compilation aborted at - line
1.
<P> This error is generated because Perl can't locate the module
bootstrap function in the SWIG extension module. This could be caused
by a mismatch between the module name and the shared library name.
However, another possible cause is forgetting to link the
SWIG-generated wrapper code with the rest of your application when you
linked the extension module.
</P><P> Another common error is the following:
</P>
Can't load './example.so' for module example: ./example.so:
undefined symbol: Foo at /usr/lib/perl5/
5.00503/i386-linux/DynaLoader.pm line
169.
BEGIN failed--compilation aborted at - line
1.
<P> This error usually indicates that you forgot to include some object
files or libraries in the linking of the shared library file. Make sure
you compile both the SWIG wrapper file and your original program into a
shared library file. Make sure you pass all of the required libraries
<P> Sometimes unresolved symbols occur because a wrapper has been
created for a function that doesn't actually exist in a library. This
usually occurs when a header file includes a declaration for a function
that was never actually implemented or it was removed from a library
without updating the header file. To fix this, you can either edit the
SWIG input file to remove the offending declaration or you can use the
<TT>%ignore
</TT> directive to ignore the declaration. Better yet, update the
header file so that it doesn't have an undefined declaration.
</P><P> Finally, suppose that your extension module is linked with another
$ gcc -shared example.o example_wrap.o -L/home/beazley/projects/lib -lfoo \
<P> If the
<TT>foo
</TT> library is compiled as a shared library, you
might get the following error when you try to use your module:
</P>Can't load './example.so' for module example: libfoo.so: cannot open shared object file:
No such file or directory at /usr/lib/perl5/
5.00503/i386-linux/DynaLoader.pm line
169.
BEGIN failed--compilation aborted at - line
1.
<P> This error is generated because the dynamic linker can't locate the
<TT>
libfoo.so
</TT> library. When shared libraries are loaded, the system
normally only checks a few standard locations such as
<TT>/usr/lib
</TT> and
<TT>/usr/local/lib
</TT>. To get the loader to look in other
locations, there are several things you can do. First, you can
recompile your extension module with extra path information. For
example, on Linux you can do this:
</P>$ gcc -shared example.o example_wrap.o -L/home/beazley/projects/lib -lfoo \
<B>-Xlinker -rpath /home/beazley/projects/lib \
</B>
<P> Alternatively, you can set the
<TT>LD_LIBRARY_PATH
</TT> environment
variable to include the directory with your shared libraries. If
setting
<TT>LD_LIBRARY_PATH
</TT>, be aware that setting this variable
can introduce a noticeable performance impact on all other applications
that you run. To set it only for Perl, you might want to do this
$ env LD_LIBRARY_PATH=/home/beazley/projects/lib perl
<P> Finally, you can use a command such as
<TT>ldconfig
</TT> (Linux) or
<TT>
crle
</TT> (Solaris) to add additional search paths to the default system
configuration (this requires root access and you will need to read the
<H3><A name=
"Perl5_nn9"></A>23.2.6 Compilation problems and compiling
<P> Compilation of C++ extensions has traditionally been a tricky
problem. Since the Perl interpreter is written in C, you need to take
steps to make sure C++ is properly initialized and that modules are
<P> On most machines, C++ extension modules should be linked using the
C++ compiler. For example:
</P>% swig -c++ -perl example.i
% g++ -c example_wrap.cxx -I/usr/lib/perl5/
5.00503/i386-linux/CORE
%
<B>g++ -shared example.o example_wrap.o -o example.so
</B><P> In addition to this, you may need to include additional library
files to make it work. For example, if you are using the Sun C++
compiler on Solaris, you often need to add an extra library
<TT>-lCrun
</TT>% swig -c++ -perl example.i
% g++ -c example_wrap.cxx -I/usr/lib/perl5/
5.00503/i386-linux/CORE
% g++ -shared example.o example_wrap.o -o example.so
<B>-lCrun
</B><P> Of course, the names of the extra libraries are completely
non-portable---you will probably need to do some experimentation.
</P><P> Another possible compile problem comes from recent versions of Perl
(
5.8.0) and the GNU tools. If you see errors having to do with
_crypt_struct, that means _GNU_SOURCE is not defined and it needs to
be. So you should compile the wrapper like:
</P>% g++ -c example_wrap.cxx -I/usr/lib/perl/
5.8.0/CORE -D_GNU_SOURCE
<P> -D_GNU_SOURCE is also included in the Perl ccflags, which can be
% perl -e 'use Config; print $Config{ccflags};'
<P> So you could also compile the wrapper like
</P>
% g++ -c example_wrap.cxx -I/usr/lib/perl/
5.8.0/CORE \
`perl -e 'use Config; print $Config{ccflags}'`
<P> Sometimes people have suggested that it is necessary to relink the
Perl interpreter using the C++ compiler to make C++ extension modules
work. In the experience of this author, this has never actually
appeared to be necessary on most platforms. Relinking the interpreter
with C++ really only includes the special run-time libraries described
above---as long as you link your extension modules with these
libraries, it should not be necessary to rebuild Perl.
</P><P> If you aren't entirely sure about the linking of a C++ extension,
you might look at an existing C++ program. On many Unix machines, the
<TT>ldd
</TT> command will list library dependencies. This should give you
some clues about what you might have to include when you link your
extension module. For example, notice the first line of output here:
</P> <B>libstdc++-libc6.1-
1.so
.2 =
> /usr/lib/libstdc++-libc6.1-
1.so
.2 (
0x40019000)
</B>
libm.so
.6 =
> /lib/libm.so
.6 (
0x4005b000)
libc.so
.6 =
> /lib/libc.so
.6 (
0x40077000)
/lib/ld-linux.so
.2 =
> /lib/ld-linux.so
.2 (
0x40000000)
<P> If linking wasn't enough of a problem, another major complication of
C++ is that it does not define any sort of standard for binary linking
of libraries. This means that C++ code compiled by different compilers
will not link together properly as libraries nor is the memory layout
of classes and data structures implemented in any kind of portable
manner. In a monolithic C++ program, this problem may be unnoticed.
However, in Perl, it is possible for different extension modules to be
compiled with different C++ compilers. As long as these modules are
self-contained, this probably won't matter. However, if these modules
start sharing data, you will need to take steps to avoid segmentation
faults and other erratic program behavior. Also, be aware that certain
C++ features, especially RTTI, can behave strangely when working with
<P> It should be noted that you may get alot of error messages about the
`
<TT>bool
</TT>' datatype when compiling a C++ Perl module. If you
experience this problem, you can try the following :
</P><LI>Use
<TT>-DHAS_BOOL
</TT> when compiling the SWIG wrapper code
</LI>
<LI>Or use
<TT>-Dbool=char
</TT> when compiling.
</LI>
<P> Finally, recent versions of Perl (
5.8.0) have namespace conflict
problems. Perl defines a bunch of short macros to make the Perl API
function names shorter. For example, in
/usr/lib/perl/
5.8.0/CORE/embed.h there is a line:
</P>#define do_open Perl_do_open
<P> The problem is, in the
<iostream
> header from GNU libstdc++v3 there
is a private function named do_open. If
<iostream
> is included after
the perl headers, then the Perl macro causes the iostream do_open to be
renamed, which causes compile errors. Hopefully in the future Perl will
support a PERL_NO_SHORT_NAMES flag, but for now the only solution is to
undef the macros that conflict. Lib/perl5/noembed.h in the SWIG source
has a list of macros that are known to conflict with either standard
headers or other headers. But if you get macro type conflicts from
other macros not included in Lib/perl5/noembed.h while compiling the
wrapper, you will have to find the macro that conflicts and add an
#undef into the .i file. Please report any conflicting macros you find
to
<A href=
"http://www.swig.org/mail.html">swig mailing list
</A>.
</P><H3><A name=
"Perl5_nn10"></A>23.2.7 Compiling for
64-bit platforms
</H3>
<P> On platforms that support
64-bit applications (Solaris, Irix, etc.),
special care is required when building extension modules. On these
machines,
64-bit applications are compiled and linked using a different
set of compiler/linker options. In addition, it is not generally
possible to mix
32-bit and
64-bit code together in the same
<P> To utilize
64-bits, the Perl executable will need to be recompiled
as a
64-bit application. In addition, all libraries, wrapper code, and
every other part of your application will need to be compiled for
64-bits. If you plan to use other third-party extension modules, they
will also have to be recompiled as
64-bit extensions.
</P><P> If you are wrapping commercial software for which you have no source
code, you will be forced to use the same linking standard as used by
that software. This may prevent the use of
64-bit extensions. It may
also introduce problems on platforms that support more than one linking
standard (e.g., -o32 and -n32 on Irix).
</P><H2><A name=
"Perl5_nn11"></A>23.3 Building Perl Extensions under Windows
</H2>
<P> Building a SWIG extension to Perl under Windows is roughly similar
to the process used with Unix. Normally, you will want to produce a DLL
that can be loaded into the Perl interpreter. This section assumes you
are using SWIG with Microsoft Visual C++ although the procedure may be
similar with other compilers.
</P><H3><A name=
"Perl5_nn12"></A>23.3.1 Running SWIG from Developer Studio
</H3>
<P> If you are developing your application within Microsoft developer
studio, SWIG can be invoked as a custom build option. The process
roughly requires these steps :
</P><LI>Open up a new workspace and use the AppWizard to select a DLL
<LI>Add both the SWIG interface file (the .i file), any supporting C
files, and the name of the wrapper file that will be created by SWIG
(ie.
<TT>example_wrap.c
</TT>). Note : If using C++, choose a different
suffix for the wrapper file such as
<TT>example_wrap.cxx
</TT>. Don't
worry if the wrapper file doesn't exist yet--Developer studio will keep
a reference to it around.
</LI><LI>Select the SWIG interface file and go to the settings menu. Under
settings, select the
"Custom Build
" option.
</LI><LI>Enter
"SWIG
" in the description field.
</LI>
<LI>Enter
"<TT>swig -perl5 -o $(ProjDir)\$(InputName)_wrap.cxx
$(InputPath)
</TT>" in the
"Build command(s) field
"</LI><LI>Enter
"<TT>$(ProjDir)\$(InputName)_wrap.c
</TT>xx
" in the
"Output
files(s) field
".
</LI><LI>Next, select the settings for the entire project and go to
"C++:Preprocessor
". Add the include directories for your Perl
5
installation under
"Additional include directories
".
</LI><LI>Define the symbols WIN32 and MSWIN32 under preprocessor options. If
using the ActiveWare port, also define the symbol PERL_OBJECT. Note
that all extensions to the ActiveWare port must be compiled with the
C++ compiler since Perl has been encapsulated in a C++ class.
</LI><LI>Finally, select the settings for the entire project and go to
"Link
Options
". Add the Perl library file to your link libraries. For example
"perl.lib
". Also, set the name of the output file to match the name of
your Perl module (ie. example.dll).
</LI><LI>Build your project.
</LI>
<P> Now, assuming you made it this far, SWIG will be automatically
invoked when you build your project. Any changes made to the interface
file will result in SWIG being automatically invoked to produce a new
version of the wrapper file. To run your new Perl extension, simply run
Perl and use the use command as normal. For example :
</P><H3><A name=
"Perl5_nn13"></A>23.3.2 Using other compilers
</H3>
<P> SWIG is known to work with Cygwin and may work with other compilers
on Windows. For general hints and suggestions refer to the
<A href=
"#Windows"><H2><A name=
"Perl5_nn14"></A>23.4 The low-level interface
</H2>
<P> At its core, the Perl module uses a simple low-level interface to C
function, variables, constants, and classes. This low-level interface
can be used to control your application. However, it is also used to
construct more user-friendly proxy classes as described in the next
<H3><A name=
"Perl5_nn15"></A>23.4.1 Functions
</H3>
<P> C functions are converted into new Perl built-in commands (or
subroutines). For example:
</P>$a =
&example::fact(
2);
<H3><A name=
"Perl5_nn16"></A>23.4.2 Global variables
</H3>
<P> Global variables are handled using Perl's magic variable mechanism.
SWIG generates a pair of functions that intercept read/write operations
and attaches them to a Perl variable with the same name as the C global
variable. Thus, an interface like this
</P><P> is accessed as follows :
</P>
print $example::Spam,
"\n
";
$example::Spam = $example::Spam +
4<P> If a variable is declared as
<TT>const
</TT>, it is wrapped as a
read-only variable. Attempts to modify its value will result in an
<P> To make ordinary variables read-only, you can also use the
<TT>
%immutable
</TT> directive. For example:
</P><P> The
<TT>%immutable
</TT> directive stays in effect until it is
explicitly disabled or cleared using
<TT>%mutable
</TT>. See the
<A href=
"#SWIG_readonly_variables">Creatng read-only variables
</A> section for further details.
</P><P> It is also possible to tag a specific variable as read-only like
extern char *path; // Declared later in the input
<H3><A name=
"Perl5_nn17"></A>23.4.3 Constants
</H3>
<P> Constants are wrapped as read-only Perl variables. For example:
</P>
print $example::FOO,
"\n
"; # OK
$example::FOO =
2; # Error
<H3><A name=
"Perl5_nn18"></A>23.4.4 Pointers
</H3>
<P> SWIG represents pointers as blessed references. A blessed reference
is the same as a Perl reference except that it has additional
information attached to it indicating what kind of reference it is.
That is, if you have a C declaration like this :
</P>Matrix *new_Matrix(int n, int m);
<P> The module returns a value generated as follows:
</P>
$ptr = new_Matrix(int n, int m); # Save pointer return result
bless $ptr,
"p_Matrix
"; # Bless it as a pointer to Matrix
<P> SWIG uses the
"blessing
" to check the datatype of various pointers.
In the event of a mismatch, an error or warning message is generated.
</P><P> To check to see if a value is the NULL pointer, use the
<TT>
defined()
</TT> command :
</P> print
"Not a NULL pointer.
";
print
"Is a NULL pointer.
";
<P> To create a NULL pointer, you should pass the
<TT>undef
</TT> value
<P> The
"value
" of a Perl reference is not the same as the underlying C
pointer that SWIG wrapper functions return. Suppose that
<TT>$a
</TT> and
<TT>$b
</TT> are two references that point to the same C object. In
general,
<TT>$a
</TT> and
<TT>$b
</TT> will be different--since they are
different references. Thus, it is a mistake to check the equality of
<TT>$a
</TT> and
<TT>$b
</TT> to check the equality of two C pointers. The
correct method to check equality of C pointers is to dereference them
print
"a and b point to the same thing in C
";
print
"a and b point to different objects.
";
<P> As much as you might be inclined to modify a pointer value directly
from Perl, don't. Manipulating pointer values is architecture dependent
and could cause your program to crash. Similarly, don't try to manually
cast a pointer to a new type by reblessing a pointer. This may not work
like you expect and it is particularly dangerous when casting C++
objects. If you need to cast a pointer or change its value, consider
writing some helper functions instead. For example:
</P> return dynamic_cast
<Foo*
>(b);
Foo *IncrFoo(Foo *f, int i) {
<P> Also, if working with C++, you should always try to use the new C++
style casts. For example, in the above code, the C-style cast may
return a bogus result whereas as the C++-style cast will return
<TT>NULL
</TT> if the conversion can't be performed.
</P><P><B> Compatibility Note:
</B> In earlier versions, SWIG tried to
preserve the same pointer naming conventions as XS and
<TT>xsubpp
</TT>.
Given the advancement of the SWIG typesystem and the growing
differences between SWIG and XS, this is no longer supported.
</P><H3><A name=
"Perl5_nn19"></A>23.4.5 Structures
</H3>
<P> Access to the contents of a structure are provided through a set of
low-level accessor functions as described in the
"SWIG Basics
" chapter.
<P> gets mapped into the following collection of accessor functions:
</P>
struct Vector *new_Vector();
void delete_Vector(Vector *v);
double Vector_x_get(Vector *obj)
void Vector_x_set(Vector *obj, double x)
double Vector_y_get(Vector *obj)
void Vector_y_set(Vector *obj, double y)
double Vector_z_get(Vector *obj)
void Vector_z_set(Vector *obj, double z)
<P> These functions are then used to access structure data from Perl as
$v = example::new_Vector();
print example::Vector_x_get($v),
"\n
"; # Get x component
example::Vector_x_set($v,
7.8); # Change x component
<P> Similar access is provided for unions and the data members of C++
<P> <TT>const
</TT> members of a structure are read-only. Data members
can also be forced to be read-only using the
<TT>%immutable
</TT> directive. For example:
</P> int x; /* Read-only members */
<P> When
<TT>char *
</TT> members of a structure are wrapped, the
contents are assumed to be dynamically allocated using
<TT>malloc
</TT> or
<TT>new
</TT> (depending on whether or not SWIG is run with the -c++
option). When the structure member is set, the old contents will be
released and a new value created. If this is not the behavior you want,
you will have to use a typemap (described later).
</P><P> Array members are normally wrapped as read-only. For example,
</P>
<P> produces a single accessor function like this:
</P>
int *Foo_x_get(Foo *self) {
<P> If you want to set an array member, you will need to supply a
"memberin
" typemap described later in this chapter. As a special case,
SWIG does generate code to set array members of type
<TT>char
</TT> (allowing you to store a Python string in the structure).
</P><P> When structure members are wrapped, they are handled as pointers.
<P> generates accessor functions such as this:
</P>
void Bar_f_set(Bar *b, Foo *val) {
<H3><A name=
"Perl5_nn20"></A>23.4.6 C++ classes
</H3>
<P> C++ classes are wrapped by building a set of low level accessor
functions. Consider the following class :
</P>static void print(List *l);
<P> When wrapped by SWIG, the following functions are created :
</P>
void delete_List(List *l);
int List_search(List *l, char *item);
void List_insert(List *l, char *item);
void List_remove(List *l, char *item);
char *List_get(List *l, int n);
int List_length_get(List *l);
void List_length_set(List *l, int n);
void List_print(List *l);
<P> In Perl, these functions are used in a straightforward manner:
</P>
$l = example::new_List();
example::List_insert($l,
"Ale
");
example::List_insert($l,
"Stout
");
example::List_insert($l,
"Lager
")
print example::List_length_get($l),
"\n
";
<P> At this low level, C++ objects are really just typed pointers.
Member functions are accessed by calling a C-like wrapper with an
instance pointer as the first argument. Although this interface is
fairly primitive, it provides direct access to C++ objects. A higher
level interface using Perl proxy classes can be built using these
low-level accessors. This is described shortly.
</P><H3><A name=
"Perl5_nn21"></A>23.4.7 C++ classes and type-checking
</H3>
<P> The SWIG type-checker is fully aware of C++ inheritance. Therefore,
if you have classes like this
</P><P> then the function
<TT>spam()
</TT> accepts
<TT>Foo *
</TT> or a
pointer to any class derived from
<TT>Foo
</TT>. If necesssary, the
type-checker also adjusts the value of the pointer (as is necessary
when multiple inheritance is used).
</P><H3><A name=
"Perl5_nn22"></A>23.4.8 C++ overloaded functions
</H3>
<P> If you have a C++ program with overloaded functions or methods, you
will need to disambiguate those methods using
<TT>%rename
</TT>. For
/* Forward renaming declarations */
%rename(foo_d) foo(double);
void foo(int); // Becomes 'foo_i'
void foo(char *c); // Stays 'foo' (not renamed)
void foo(int); // Becomes 'foo_i'
void foo(double); // Becomes 'foo_d'
<P> Now, in Perl, the methods are accessed as follows:
</P>
$s = example::new_Spam();
example::Spam_foo_i($s,
3);
example::Spam_foo_d($s,
3.14);
<P> Please refer to the
"SWIG Basics
" chapter for more information.
</P>
<H3><A name=
"Perl5_nn23"></A>23.4.9 Operators
</H3>
<P> C++ operators can also be wrapped using the
<TT>%rename
</TT>
directive. All you need to do is give the operator the name of a valid
Perl identifier. For example:
</P>%rename(add_complex) operator+(Complex
&, Complex
&);
Complex operator+(Complex
&, Complex
&);
<P> Now, in Perl, you can do this:
</P>
$a = example::new_Complex(
2,
3);
$b = example::new_Complex(
4,-
1);
$c = example::add_complex($a,$b);
<P> Some preliminary work on mapping C++ operators into Perl operators
has been completed. This is covered later.
</P><H3><A name=
"Perl5_nn24"></A>23.4.10 Modules and packages
</H3>
<P> When you create a SWIG extension, everything gets placed into a
single Perl module. The name of the module is determined by the
<TT>%module
</TT> directive. To use the module, do the following :
</P>use example; # load the example module
print example::fact(
4),
"\n
" # Call a function in it
<P> Usually, a module consists of a collection of code that is contained
within a single file. A package, on the other hand, is the Perl
equivalent of a namespace. A package is alot like a module, except that
it is independent of files. Any number of files may be part of the same
package--or a package may be broken up into a collection of modules if
you prefer to think about it in this way.
</P><P> SWIG installs its functions into a package with the same name as the
<P><B> Incompatible Change:
</B> previous versions of SWIG enabled you to
change the name of the package by using the -package option, this
feature has been removed in order to properly support modules that used
nested namespaces, e.g. Foo::Bar::Baz. To give your module a nested
namespace simply provide the fully qualified name in your %module
%module
"Foo::Bar::Baz
"<P><B> NOTE:
</B> the double quotes are necessary.
</P>
This can be changed by giving SWIG the -package
<div class="code"><pre>
% swig -perl -package Foo example.i
In this case, you still create a module called `<tt>example</tt>' exactly as before, but
all of the functions in that module will be installed into the package
`<tt>Foo</tt>.' For example :
<div class="code"><pre>
use example; # Load the module like before
print Foo::fact(4),"\n"; # Call a function in package FooBar
<H2><A name=
"Perl5_nn25"></A>23.5 Input and output parameters
</H2>
<P> A common problem in some C programs is handling parameters passed as
simple pointers. For example:
</P>void add(int x, int y, int *result) {
int sub(int *x, int *y) {
<P> The easiest way to handle these situations is to use the
<TT>
typemaps.i
</TT> file. For example:
</P>%include
"typemaps.i
"void add(int, int, int *OUTPUT);
int sub(int *INPUT, int *INPUT);
<P> In Perl, this allows you to pass simple values. For example:
</P>
<P> Notice how the
<TT>INPUT
</TT> parameters allow integer values to be
passed instead of pointers and how the
<TT>OUTPUT
</TT> parameter
creates a return result.
</P><P> If you don't want to use the names
<TT>INPUT
</TT> or
<TT>OUTPUT
</TT>
, use the
<TT>%apply
</TT> directive. For example:
</P>%include
"typemaps.i
"%apply int *OUTPUT { int *result };
%apply int *INPUT { int *x, int *y};
void add(int x, int y, int *result);
<P> If a function mutates one of its parameters like this,
</P>
<P> you can use
<TT>INOUT
</TT> like this:
</P>
%include
"typemaps.i
"<P> In Perl, a mutated parameter shows up as a return value. For
<P> The most common use of these special typemap rules is to handle
functions that return more than one value. For example, sometimes a
function returns a result as well as a special error code:
</P>/* send message, return number of bytes sent, along with success code */
int send_message(char *text, int len, int *success);
<P> To wrap such a function, simply use the
<TT>OUTPUT
</TT> rule above.
%include
"typemaps.i
"%apply int *OUTPUT { int *success };
int send_message(char *text, int *success);
<P> When used in Perl, the function will return multiple values.
</P>
($bytes, $success) = example::send_message(
"Hello World
");
<P> Another common use of multiple return values are in query functions.
void get_dimensions(Matrix *m, int *rows, int *columns);
<P> To wrap this, you might use the following:
</P>
%include
"typemaps.i
"%apply int *OUTPUT { int *rows, int *columns };
void get_dimensions(Matrix *m, int *rows, *columns);
($r,$c) = example::get_dimensions($m);
<P> In certain cases, it is possible to treat Perl references as C
pointers. To do this, use the
<TT>REFERENCE
</TT> typemap. For example:
</P>void add(int x, int y, int *REFERENCE);
<P><B> Note:
</B> The
<TT>REFERENCE
</TT> feature is only currently
supported for numeric types (integers and floating point).
</P><H2><A name=
"Perl5_nn26"></A>23.6 Exception handling
</H2>
<P> The SWIG
<TT>%exception
</TT> directive can be used to create a
user-definable exception handler for converting exceptions in your
C/C++ program into Perl exceptions. The chapter on customization
features contains more details, but suppose you have a C++ class like
class RangeError {}; // Used for an exception
// Create a new array of fixed size
// Return the length of the array
// Get an item from the array and perform bounds checking.
if ((i
>=
0)
&& (i
< n))
// Set an item in the array and perform bounds checking.
void setitem(int i, double val) {
if ((i
>=
0)
&& (i
< n))
<P> Since several methods in this class can throw an exception for an
out-of-bounds access, you might want to catch this in the Perl
extension by writing the following in an interface file:
</P> croak(
"Array index out-of-bounds
");
<P> The exception handling code is inserted directly into generated
wrapper functions. The
<TT>$action
</TT> variable is replaced with the
C/C++ code being executed by the wrapper. When an exception handler is
defined, errors can be caught and used to gracefully generate a Perl
error instead of forcing the entire program to terminate with an
<P> As shown, the exception handling code will be added to every wrapper
function. Since this is somewhat inefficient. You might consider
refining the exception handler to only apply to specific methods like
croak(
"Array index out-of-bounds
");
croak(
"Array index out-of-bounds
");
<P> In this case, the exception handler is only attached to methods and
functions named
<TT>getitem
</TT> and
<TT>setitem
</TT>.
</P><P> If you had a lot of different methods, you can avoid extra typing by
using a macro. For example:
</P> croak(
"Array index out-of-bounds
");
%exception getitem RANGE_ERROR;
%exception setitem RANGE_ERROR;
<P> Since SWIG's exception handling is user-definable, you are not
limited to C++ exception handling. See the chapter on
"<A href=
"#Customization">Customization features
</A>" for more examples.
</P><P><B> Compatibility note:
</B> In SWIG1.1, exceptions were defined using
the older
<TT>%except
</TT> directive:
</P> croak(
"Array index out-of-bounds
");
<P> This is still supported, but it is deprecated. The newer
<TT>
%exception
</TT> directive provides the same functionality, but it has
additional capabilities that make it more powerful.
</P><H2><A name=
"Perl5_nn27"></A>23.7 Remapping datatypes with typemaps
</H2>
<P> This section describes how you can modify SWIG's default wrapping
behavior for various C/C++ datatypes using the
<TT>%typemap
</TT> directive. This is an advanced topic that assumes familiarity with the
Perl C API as well as the material in the
"<A href=
"#Typemaps">Typemaps
</A><P> Before proceeding, it should be stressed that typemaps are
<EM> not
</EM>
a required part of using SWIG---the default wrapping behavior is enough
in most cases. Typemaps are only used if you want to change some aspect
of the primitive C-Perl interface.
</P><H3><A name=
"Perl5_nn28"></A>23.7.1 A simple typemap example
</H3>
<P> A typemap is nothing more than a code generation rule that is
attached to a specific C datatype. For example, to convert integers
from Perl to C, you might define a typemap like this:
</P> printf(
"Received an integer : %d\n
", $
1);
<P> Typemaps are always associated with some specific aspect of code
generation. In this case, the
"in
" method refers to the conversion of
input arguments to C/C++. The datatype
<TT>int
</TT> is the datatype to
which the typemap will be applied. The supplied C code is used to
convert values. In this code a number of special variable prefaced by a
<TT>$
</TT> are used. The
<TT>$
1</TT> variable is placeholder for a
local variable of type
<TT>int
</TT>. The
<TT>$input
</TT> variable is
the input object (usually a
<TT>SV *
</TT>).
</P><P> When this example is used in Perl5, it will operate as follows :
</P>
<P> The application of a typemap to specific datatypes and argument
names involves more than simple text-matching--typemaps are fully
integrated into the SWIG type-system. When you define a typemap for
<TT>int
</TT>, that typemap applies to
<TT>int
</TT> and qualified variations
such as
<TT>const int
</TT>. In addition, the typemap system follows
<TT>typedef
</TT> declarations. For example:
</P> printf(
"n = %d\n
",$
1);
extern int fact(Integer n); // Above typemap is applied
<P> It should be noted that the matching of
<TT>typedef
</TT> only occurs
in one direction. If you defined a typemap for
<TT>Integer
</TT>, it is
not applied to arguments of type
<TT>int
</TT>.
</P><P> Typemaps can also be defined for groups of consecutive arguments.
%typemap(in) (char *str, unsigned len) {
int count(char c, char *str, unsigned len);
<P> When a multi-argument typemap is defined, the arguments are always
handled as a single Perl object. This allows the function to be used
like this (notice how the length parameter is ommitted):
</P>example::count(
"e
",
"Hello World
");
<H3><A name=
"Perl5_nn29"></A>23.7.2 Perl5 typemaps
</H3>
<P> The previous section illustrated an
"in
" typemap for converting Perl
objects to C. A variety of different typemap methods are defined by the
Perl module. For example, to convert a C integer back into a Perl
object, you might define an
"out
" typemap like this:
</P> $result = sv_newmortal();
set_setiv($result, (IV) $
1);
<P> The following typemap methods are available:
</P>
<P> <TT>%typemap(in)
</TT></P>
<DIV class=
"indent"> Converts Perl5 object to input function arguments.
</DIV>
<P> <TT>%typemap(out)
</TT></P>
<DIV class=
"indent"> Converts function return value to a Perl5 value.
</DIV>
<P> <TT>%typemap(varin)
</TT></P>
<DIV class=
"indent"> Converts a Perl5 object to a global variable.
</DIV>
<P> <TT>%typemap(varout)
</TT></P>
<DIV class=
"indent"> Converts a global variable to a Perl5 object.
</DIV>
<P> <TT>%typemap(freearg)
</TT></P>
<DIV class=
"indent"> Cleans up a function argument after a function call
</DIV>
<P> <TT>%typemap(argout)
</TT></P>
<DIV class=
"indent"> Output argument handling
</DIV>
<P> <TT>%typemap(ret)
</TT></P>
<DIV class=
"indent"> Clean up return value from a function.
</DIV>
<P> <TT>%typemap(memberin)
</TT></P>
<DIV class=
"indent"> Setting of C++ member data (all languages).
</DIV>
<P> <TT>%typemap(memberout)
</TT></P>
<DIV class=
"indent"> Return of C++ member data (all languages).
</DIV>
<P> <TT>%typemap(check)
</TT></P>
<DIV class=
"indent"> Check value of input parameter.
</DIV>
<H3><A name=
"Perl5_nn30"></A>23.7.3 Typemap variables
</H3>
<P> Within typemap code, a number of special variables prefaced with a
<TT>
$
</TT> may appear. A full list of variables can be found in the
"<A href=
"#Typemaps">Typemaps
</A>" chapter. This is a list of the most common variables:
</P><DIV class=
"indent"> A C local variable corresponding to the actual type
specified in the
<TT>%typemap
</TT> directive. For input values, this is
a C local variable that's supposed to hold an argument value. For
output values, this is the raw result that's supposed to be returned to
<DIV class=
"indent"> A Perl object holding the value of an argument of
<DIV class=
"indent"> A Perl object that holds the result to be returned
<DIV class=
"indent"> The parameter name that was matched.
</DIV>
<DIV class=
"indent"> The actual C datatype matched by the typemap.
</DIV>
<P> <TT>$
1_ltype
</TT></P>
<DIV class=
"indent"> An assignable version of the datatype matched by
the typemap (a type that can appear on the left-hand-side of a C
assignment operation). This type is stripped of qualifiers and may be
an altered version of
<TT>$
1_type
</TT>. All arguments and local
variables in wrapper functions are declared using this type so that
their values can be properly assigned.
</DIV><P> <TT>$symname
</TT></P>
<DIV class=
"indent"> The Perl name of the wrapper function being
<H3><A name=
"Perl5_nn31"></A>23.7.4 Useful functions
</H3>
<P> When writing typemaps, it is necessary to work directly with Perl5
objects. This, unfortunately, can be a daunting task. Consult the
"perlguts
" man-page for all of the really ugly details. A short summary
of commonly used functions is provided here for reference. It should be
stressed that SWIG can be usef quite effectively without knowing any of
these details--especially now that there are typemap libraries that can
already been written.
</P><P><B> Perl Integer Functions
</B></P>
void sv_setiv(SV *sv, IV value);
<P><B> Perl Floating Point Functions
</B></P>
void sv_setnv(SV *, double value);
SV *newSVnv(double value);
<P><B> Perl String Functions
</B></P>
char *SvPV(SV *, STRLEN len);
void sv_setpv(SV *, char *val);
void sv_setpvn(SV *, char *val, STRLEN len);
SV *newSVpv(char *value, STRLEN len);
void sv_catpv(SV *, char *);
void sv_catpvn(SV *, char *, STRLEN);
<P><B> Perl References
</B></P>
void sv_setref_pv(SV *, char *, void *ptr);
int sv_isa(SV *, char *
0;
<H2><A name=
"Perl5_nn32"></A>23.8 Typemap Examples
</H2>
<P> This section includes a few examples of typemaps. For more examples,
you might look at the files
"<TT>perl5.swg
</TT>" and
"<TT>typemaps.i
</TT>" in the SWIG library.
</P>
<H3><A name=
"Perl5_nn33"></A>23.8.1 Converting a Perl5 array to a char
<P> A common problem in many C programs is the processing of command
line arguments, which are usually passed in an array of NULL terminated
strings. The following SWIG interface file allows a Perl5 array
reference to be used as a char ** datatype.
</P>// This tells SWIG to treat char ** as a special case
croak(
"Argument $argnum is not a reference.
");
if (SvTYPE(SvRV($input)) != SVt_PVAV)
croak(
"Argument $argnum is not an array.
");
tempav = (AV*)SvRV($input);
$
1 = (char **) malloc((len+
2)*sizeof(char *));
for (i =
0; i
<= len; i++) {
tv = av_fetch(tempav, i,
0);
$
1[i] = (char *) SvPV(*tv,PL_na);
// This cleans up the char ** array after the function call
%typemap(freearg) char ** {
// Creates a new Perl array and places a NULL-terminated char ** into it
/* Figure out how many elements we have */
svs = (SV **) malloc(len*sizeof(SV *));
for (i =
0; i
< len ; i++) {
sv_setpv((SV*)svs[i],$
1[i]);
$result = newRV((SV*)myav);
// Now a few test functions
int print_args(char **argv) {
printf(
"argv[%d] = %s\n
", i,argv[i]);
// Returns a char ** list
static char *values[] = {
"Dave
",
"Mike
",
"Susan
",
"John
",
"Michelle
",
0};
<P> When this module is compiled, the wrapped C functions can be used in
a Perl script as follows :
</P>@a = (
"Dave
",
"Mike
",
"John
",
"Mary
"); # Create an array of strings
argv::print_args(\@a); # Pass it to our C function
$b = argv::get_args(); # Get array of strings from C
print @$b,
"\n
"; # Print it out
<H3><A name=
"Perl5_nn34"></A>23.8.2 Return values
</H3>
<P> Return values are placed on the argument stack of each wrapper
function. The current value of the argument stack pointer is contained
in a variable
<TT>argvi
</TT>. Whenever a new output value is added, it
is critical that this value be incremented. For multiple output values,
the final value of
<TT>argvi
</TT> should be the total number of output
<P> The total number of return values should not exceed the number of
input values unless you explicitly extend the argument stack. This can
be done using the
<TT>EXTEND()
</TT> macro as in :
</P>%typemap(argout) int *OUTPUT {
EXTEND(sp,
1); /* Extend the stack by
1 object */
$result = sv_newmortal();
sv_setiv($target,(IV) *($
1));
<H3><A name=
"Perl5_nn35"></A>23.8.3 Returning values from arguments
</H3>
<P> Sometimes it is desirable for a function to return a value in one of
its arguments. This example describes the implementation of the
<TT>// This tells SWIG to treat an double * argument with name 'OutDouble' as
%typemap(argout) double *OUTPUT {
$result = sv_newmortal();
sv_setnv($result, *$input);
argvi++; /* Increment return count -- important! */
// We don't care what the input value is. Ignore, but set to a temporary variable
%typemap(in,numinputs=
0) double *OUTPUT(double junk) {
// Now a function to test it
/* Returns the first two input arguments */
int multout(double a, double b, double *out1, double *out2) {
// If we name both parameters OutDouble both will be output
int multout(double a, double b, double *OUTPUT, double *OUTPUT);
<P> When this function is called, the output arguments are appended to
the stack used to return results. This shows up an array in Perl. For
print
"multout(
7,
13) = @r\n
";
<H3><A name=
"Perl5_nn36"></A>23.8.4 Accessing array structure members
</H3>
<P> Consider the following data structure :
</P>
<P> By default, SWIG doesn't know how to the handle the values structure
member it's an array, not a pointer. In this case, SWIG makes the array
member read-only. Reading will simply return a pointer to the first
item in the array. To make the member writable, a
"memberin
" typemap
%typemap(memberin) int [SIZE] {
for (i =
0; i
< SIZE; i++) {
<P> Whenever a
<TT>int [SIZE]
</TT> member is encountered in a structure
or class, this typemap provides a safe mechanism for setting its value.
</P><P> As in the previous example, the typemap can be generalized for any
dimension. For example:
</P>%typemap(memberin) int [ANY] {
for (i =
0; i
< $
1_dim0; i++) {
<P> When setting structure members, the input object is always assumed
to be a C array of values that have already been converted from the
target language. Because of this, the
<TT>memberin
</TT> typemap is
almost always combined with the use of an
"in
" typemap. For example,
the
"in
" typemap in the previous section would be used to convert an
<TT>int[]
</TT> array to C whereas the
"memberin
" typemap would be used to
copy the converted array into a C data structure.
</P><H3><A name=
"Perl5_nn37"></A>23.8.5 Turning Perl references into C
<P> A frequent confusion on the SWIG mailing list is errors caused by
the mixing of Perl references and C pointers. For example, suppose you
have a C function that modifies its arguments like this :
</P>void add(double a, double b, double *c) {
<P> A common misinterpretation of this function is the following Perl
add($a,$b,\$c); # Place result in c (Except that it doesn't work)
<P> To make this work with a reference, you can use a typemap such as
%typemap(in) double * (double dvalue) {
croak(
"expected a reference\n
");
if ((!SvNOK(tempsv))
&& (!SvIOK(tempsv))) {
croak(
"expected a double reference\n
");
%typemap(argout) double * {
<P> Now, if you place this before the add function, you can do this :
</P>
add($a,$b,\$c); # Now it works!
<H3><A name=
"Perl5_nn38"></A>23.8.6 Pointer handling
</H3>
<P> Occasionally, it might be necessary to convert pointer values that
have been stored using the SWIG typed-pointer representation. To
convert a pointer from Perl to C, the following function is used:
</P><P> <TT>int SWIG_ConvertPtr(SV *obj, void **ptr, swig_type_info *ty, int
<DIV class=
"indent"> Converts a Perl object
<TT>obj
</TT> to a C pointer.
The result of the conversion is placed into the pointer located at
<TT>ptr
</TT>.
<TT>ty
</TT> is a SWIG type descriptor structure.
<TT>flags
</TT> is used to handle error checking and other aspects of conversion.
<TT>flags
</TT> is currently undefined and reserved for future expansion.
Returns
0 on success and -
1 on error.
</DIV><P> <TT>void *SWIG_MakePtr(SV *obj, void *ptr, swig_type_info *ty, int
<DIV class=
"indent"> Creates a new Perl pointer object.
<TT>obj
</TT> is
a Perl SV that has been initialized to hold the result,
<TT>ptr
</TT> is
the pointer to convert,
<TT>ty
</TT> is the SWIG type descriptor
structure that describes the type, and
<TT>flags
</TT> is a flag that
controls properties of the conversion.
<TT>flags
</TT> is currently
undefined and reserved.
</DIV><P> Both of these functions require the use of a special SWIG
type-descriptor structure. This structure contains information about
the mangled name of the datatype, type-equivalence information, as well
as information about converting pointer values under C++ inheritance.
For a type of
<TT>Foo *
</TT>, the type descriptor structure is usually
if (SWIG_ConvertPtr($input, (void **)
&f, SWIGTYPE_p_Foo,
0) == -
1) return NULL;
SWIG_MakePtr(sv, f, SWIGTYPE_p_Foo,
0);
<P> In a typemap, the type descriptor should always be accessed using
the special typemap variable
<TT>$
1_descriptor
</TT>. For example:
</P> if ((SWIG_ConvertPtr($input,(void **)
&$
1, $
1_descriptor,
0)) == -
1) return NULL;
<P> If necessary, the descriptor for any type can be obtained using the
<TT>
$descriptor()
</TT> macro in a typemap. For example:
</P> if ((SWIG_ConvertPtr($input,(void **)
&$
1, $descriptor(Foo *),
0)) == -
1) return NULL;
<H2><A name=
"Perl5_nn39"></A>23.9 Proxy classes
</H2>
<P><B> Out of date. Needs update.
</B></P>
<P> Using the low-level procedural interface, SWIG can also construct a
high-level object oriented interface to C structures and C++ classes.
This is done by constructing a Perl proxy class (also known as a shadow
class) that provides an OO wrapper to the underlying code. This section
describes the implementation details of the proxy interface.
</P><H3><A name=
"Perl5_nn40"></A>23.9.1 Preliminaries
</H3>
<P> Proxy classes, are generated by default. If you want to turn them
off, use the
<TT>-noproxy
</TT> command line option. For example:
</P>$ swig -c++ -perl -noproxy example.i
<P> When proxy classes are used, SWIG moves all of the low-level
procedural wrappers to another package name. By default, this package
is named 'modulec' where 'module' is the name of the module you
provided with the
<TT>%module
</TT> directive. Then, in place of the
original module, SWIG creates a collection of high-level Perl wrappers.
In your scripts, you will use these high level wrappers. The wrappers,
in turn, interact with the low-level procedural module.
</P><H3><A name=
"Perl5_nn41"></A>23.9.2 Structure and class wrappers
</H3>
<P> Suppose you have the following SWIG interface file :
</P>
Vector(double x, double y, double z);
<P> When wrapped, SWIG creates the following set of low-level accessor
functions as described in previous sections.
</P>Vector *new_Vector(double x, double y, double z);
void delete_Vector(Vector *v);
double Vector_x_get(Vector *v);
double Vector_x_set(Vector *v, double value);
double Vector_y_get(Vector *v);
double Vector_y_set(Vector *v, double value);
double Vector_z_get(Vector *v);
double Vector_z_set(Vector *v, double value);
<P> However, when proxy classes are enabled, these accessor functions
are wrapped inside a Perl class like this:
</P> $self = vectorc::new_Vector(@args);
return undef if (!defined($self));
bless $self,
"example::Vector
";
tie %retval,
"example::Vector
", $self;
return bless \%retval,
"Vector
";
return unless $_[
0]-
>isa('HASH');
my $self = tied(%{$_[
0]});
delete $ITERATORS{$self};
if (exists $OWNER{$self}) {
examplec::delete_Vector($self));
my $member_func =
"vectorc::Vector_${field}_get
";
my $val =
&$member_func($self);
if (exists $BLESSEDMEMBERS{$field}) {
return undef if (!defined($val));
tie %retval,$BLESSEDMEMBERS{$field},$val;
return bless \%retval, $BLESSEDMEMBERS{$field};
my ($self,$field,$newval) = @_;
my $member_func =
"vectorc::Vector_${field}_set
";
if (exists $BLESSEDMEMBERS{$field}) {
&$member_func($self,tied(%{$newval}));
&$member_func($self,$newval);
<P> Each structure or class is mapped into a Perl package of the same
name. The C++ constructors and destructors are mapped into constructors
and destructors for the package and are always named
"new
" and
"DESTROY
". The constructor always returns a tied hash table. This hash
table is used to access the member variables of a structure in addition
to being able to invoke member functions. The
<TT>%OWNER
</TT> and
<TT>%BLESSEDMEMBERS
</TT> hash tables are used internally and described
<P> To use our new proxy class we can simply do the following:
</P>
# Perl code using Vector class
$w = Vector-
>new(-
1,-
2,-
3);
# Assignment of a single member
# Assignment of all members
<H3><A name=
"Perl5_nn42"></A>23.9.3 Object Ownership
</H3>
<P> In order for proxy classes to work properly, it is necessary for
Perl to manage some mechanism of object ownership. Here's the crux of
the problem---suppose you had a function like this :
</P>Vector *Vector_get(Vector *v, int index) {
<P> This function takes a Vector pointer and returns a pointer to
another Vector. Such a function might be used to manage arrays or lists
of vectors (in C). Now contrast this function with the constructor for
Vector *new_Vector(double x, double y, double z) {
v = new Vector(x,y,z); // Call C++ constructor
<P> Both functions return a Vector, but the constructor is returning a
brand-new Vector while the other function is returning a Vector that
was already created (hopefully). In Perl, both vectors will be
indistinguishable---clearly a problem considering that we would
probably like the newly created Vector to be destroyed when we are done
<P> To manage these problems, each class contains two methods that
access an internal hash table called
<TT>%OWNER
</TT>. This hash keeps a
list of all of the objects that Perl knows that it has created. This
happens in two cases: (
1) when the constructor has been called, and (
2)
when a function implicitly creates a new object (as is done when SWIG
needs to return a complex datatype by value). When the destructor is
invoked, the Perl proxy class module checks the
<TT>%OWNER
</TT> hash to
see if Perl created the object. If so, the C/C++ destructor is invoked.
If not, we simply destroy the Perl object and leave the underlying C
object alone (under the assumption that someone else must have created
<P> This scheme works remarkably well in practice but it isn't
foolproof. In fact, it will fail if you create a new C object in Perl,
pass it on to a C function that remembers the object, and then destroy
the corresponding Perl object (this situation turns out to come up
frequently when constructing objects like linked lists and trees). When
C takes possession of an object, you can change Perl's owership by
simply deleting the object from the
<TT>%OWNER
</TT> hash. This is done
using the
<TT>DISOWN
</TT> method.
</P># Perl code to change ownership of an object
<P> To acquire ownership of an object, the
<TT>ACQUIRE
</TT> method can
# Given Perl ownership of a file
<P> As always, a little care is in order. SWIG does not provide
reference counting, garbage collection, or advanced features one might
find in sophisticated languages.
</P><H3><A name=
"Perl5_nn43"></A>23.9.4 Nested Objects
</H3>
<P> Suppose that we have a new object that looks like this :
</P>
<P> In this case, the members of the structure are complex objects that
have already been encapsulated in a Perl proxy class. To handle these
correctly, we use the
<TT>%BLESSEDMEMBERS
</TT> hash which would look
like this (along with some supporting code) :
</P><P> When fetching members from the structure,
<TT>%BLESSEDMEMBERS
</TT>
is checked. If the requested field is present, we create a tied-hash
table and return it. If not, we just return the corresponding member
<P> This implementation allows us to operate on nested structures as
# Perl access of nested structure
$p-
>{f}-
>{x} =
0.0;
%${$p-
>{v}} = ( x=
>0, y=
>0, z=
>0);
<H3><A name=
"Perl5_nn44"></A>23.9.5 Proxy Functions
</H3>
<P> When functions take arguments involving a complex object, it is
sometimes necessary to write a proxy function. For example :
</P>double dot_product(Vector *v1, Vector *v2);
<P> Since Vector is an object already wrapped into a proxy class, we
need to modify this function to accept arguments that are given in the
form of tied hash tables. This is done by creating a Perl function like
$args[
0] = tied(%{$args[
0]}); # Get the real pointer values
$args[
1] = tied(%{$args[
1]});
my $result = vectorc::dot_product(@args);
<P> This function replaces the original function, but operates in an
<H3><A name=
"Perl5_nn45"></A>23.9.6 Inheritance
</H3>
<P> Simple C++ inheritance is handled using the Perl
<TT>@ISA
</TT> array
in each class package. For example, if you have the following interface
// SWIG interface file for shapes class
#include
"shapes.h
" virtual double area() =
0;
virtual double perimeter() =
0;
void set_location(double x, double y);
class Circle : public Shape {
class Square : public Shape {
<P> The resulting, Perl wrapper class will create the following code :
</P>
<P> The
<TT>@ISA
</TT> array determines where to look for methods of a
particular class. In this case, both the
<TT>Circle
</TT> and
<TT>Square
</TT> classes inherit functions from
<TT>Shape
</TT> so we'll want to look in
the
<TT>Shape
</TT> base class for them. All classes also inherit from
the top-level module
<TT>shapes
</TT>. This is because certain common
operations needed to implement proxy classes are implemented only once
and reused in the wrapper code for various classes and structures.
</P><P> Since SWIG proxy classes are implemented in Perl, it is easy to
subclass from any SWIG generated class. To do this, simply put the name
of a SWIG class in the
<TT>@ISA
</TT> array for your new class. However,
be forewarned that this is not a trivial problem. In particular,
inheritance of data members is extremely tricky (and I'm not even sure
<H3><A name=
"Perl5_nn46"></A>23.9.7 Modifying the proxy methods
</H3>
<P> It is possible to override the SWIG generated proxy/shadow methods,
using
<TT>%feature(
"shadow
")
</TT>. It works like all the other
<A href=
"#features">%feature directives
</A>. Here is a simple example showing how to add
some Perl debug code to the constructor:
</P>/* Let's make the constructor of the class Square more verbose */
%feature(
"shadow
") Square(double w)
my $self = examplec::new_Square(@_);
print STDERR
"Constructed an @{[ref($self)]}\n
";
bless $self, $pkg if defined($self);
<!-- Hand crafted HTML -->
<H1><A name=
"Php"></A>24 SWIG and PHP4
</H1>
<LI><A href=
"#Php_nn1">Generating PHP4 Extensions
</A>
<LI><A href=
"#Php_nn1_1">Building a loadable extension
</A></LI>
<LI><A href=
"#Php_nn1_2">Building extensions into PHP
</A></LI>
<LI><A href=
"#Php_nn1_3">Using PHP4 Extensions
</A></LI>
<LI><A href=
"#Php_nn2">Basic PHP4 interface
</A>
<LI><A href=
"#Php_nn2_1">Constants
</A></LI>
<LI><A href=
"#Php_nn2_2">Global Variables
</A></LI>
<LI><A href=
"#Php_nn2_3">Functions
</A></LI>
<LI><A href=
"#Php_nn2_4">Overloading
</A></LI>
<LI><A href=
"#Php_nn2_5">Pointers and References
</A></LI>
<LI><A href=
"#Php_nn2_6">Structures and C++ classes
</A>
<LI><A href=
"#Php_nn2_6_1">Using
<TT>-noproxy
</TT></A></LI>
<LI><A href=
"#Php_nn2_6_2">Constructors and Destructors
</A></LI>
<LI><A href=
"#Php_nn2_6_3">Static Member Variables
</A></LI>
<LI><A href=
"#Php_nn2_6_4">Static Member Functions
</A></LI>
<LI><A href=
"#Php_nn2_7">PHP4 Pragmas, Startup and Shutdown code
</A></LI>
<P><B> Caution: This chapter (and module!) is still under construction
</B>
<P> In this chapter, we discuss SWIG's support of PHP4. The PHP4 module
has been extensively rewritten in release
1.3.26. Although it is
significantly more functional, it still does not implement all the
features available in other languages.
</P><P> The examples and test cases have been developed with PHP4. Support
for PHP5 at this time is limited to wrapping C libraries or C++
libraries while using the
<TT>-noproxy
</TT> flag. This deficiency will
be fixed in a subsequent release of SWIG.
</P><P> In order to use this module, you will need to have a copy of the PHP
4.0 (or above) include files to compile the SWIG generated files. You
can find these files by running
<TT>'php-config --includes'
</TT>. To
test the modules you will need either the php binary or the Apache php
module. If you want to build your extension into php directly (without
having the overhead of loading it into each script), you will need the
complete PHP source tree available.
</P><H2><A name=
"Php_nn1"></A>24.1 Generating PHP4 Extensions
</H2>
<P> To build a PHP4 extension, run swig using the
<TT>-php4
</TT> option
<P> This will produce
3 files example_wrap.c, php_example.h and
example.php. The first file,
<TT>example_wrap.c
</TT> contains all of
the C code needed to build a PHP4 extension. The second file,
<TT>php_example.h
</TT> contains the header information needed to statically
link the extension into PHP. The third file,
<TT>example.php
</TT> can
be included by php scripts. It attempts to dynamically load the
extension and contains extra php code specified in the interface file.
</P><P> Swig can generate PHP4 extensions from C++ libraries as well when
given the
<TT>-c++
</TT> option. The support for C++ is discussed in
more detail in
<A href=
"#Php_nn2_6">section
24.2.6</A>.
</P><P> To finish building the extension, you have two choices. You can
either build the extension as a separate shared object file which will
then have to be explicitly loaded by each script. Or you can rebuild
the entire php source tree and build the extension into the php
executable/library so it will be available in every script. The first
choice is the default, however it can be changed by passing the
'-phpfull' command line switch to select the second build method.
</P><H3><A name=
"Php_nn1_1"></A>24.1.1 Building a loadable extension
</H3>
<P> There are two methods to build the extension as a dynamically loaded
module: using standard compilation utilities (make, gcc), or using
PHP4's
<EM> phpize
</EM> utility.
</P><P> To build manually, use a compile string similar to this (different
cc -I.. $(PHPINC) -fpic -c example_wrap.c
cc -shared example_wrap.o -o libexample.so
<P> The
<TT>-make
</TT> command line argument to swig will generate an
additional file Makefile. This Makefile can usually build the extension
itself (on unix platforms).
</P><P> If you want to build your extension using the
<TT>phpize
</TT>
utility, or if you want to build your module into PHP directly, you can
specify the
<TT>-phpfull
</TT> command line argument to swig.
</P><P> The
<TT>-phpfull
</TT> will generate three additional files. The
first extra file,
<TT>config.m4
</TT> contains the shell code needed to
enable the extension as part of the PHP4 build process. The second
extra file,
<TT>Makefile.in
</TT> contains the information needed to
build the final Makefile after substitutions. The third and final extra
file,
<TT>CREDITS
</TT> should contain the credits for the extension.
</P><P> To build with phpize, after you have run swig you will need to run
the 'phpize' command (installed as part of php) in the same directory.
This re-creates the php build environment in that directory. It also
creates a configure file which includes the shell code from the
config.m4 that was generated by SWIG, this configure script will accept
a command line argument to enable the extension to be run ( by default
the command line argument is --enable-modulename, however you can edit
the config.m4 file before running phpize to accept --with-modulename.
You can also add extra tests in config.m4 to check that a correct
library version is installed or correct header files are included, etc,
but you must edit this file before running phpize. ) If you like SWIG
can generate simple extra tests for libraries and header files for you.
</P><P> If you depend on source files not generated by SWIG, before
generating the configure file, you may need to edit the
<TT>Makefile.in
</TT> file. This contains the names of the source files to compile (just the
wrapper file by default) and any additional libraries needed to be
linked in. If there are extra C files to compile, you will need to add
them to the Makefile.in, or add the names of libraries if they are
needed. In simple cases SWIG is pretty good at generating a complete
Makefile.in and config.m4 which need no further editing.
</P><P> You then run the configure script with the command line argument
needed to enable the extension. Then run make, which builds the
extension. The extension object file will be left in the modules sub
directory, you can move it to wherever it is convenient to call from
<P> Both the
<TT>-make
</TT> and
<TT>-phpfull
</TT> arguments accept
additional optional arguments:
</P><LI><TT>-withincs
"<files
>"</TT> Adds include files to the config.m4
<LI><TT>-withlibs
"<files
>"</TT> Links the libraries into the shared
<LI><TT>-withc
"<files
>"</TT> Compiles and links the named C files into
<LI><TT>-withcxx
"<files
>"</TT> Compiles and links the named C++ files
into the shared object,
</LI><LI><TT>-dlname
"<name
>"</TT> Changes the name of the generated shared
<H3><A name=
"Php_nn1_2"></A>24.1.2 Building extensions into PHP
</H3>
<P> This method, selected with the
<TT>-phpfull
</TT> command line
switch, involves rebuilding the entire php source tree. Whilst more
complicated to build, it does mean that the extension is then available
without having to load it in each script.
</P><P> After running swig with the -phpfull switch, you will be left with a
shockingly similar set of files to the previous build process. However
you will then need to move these files to a subdirectory within the php
source tree, this subdirectory you will need to create under the ext
directory, with the name of the extension ( e.g mkdir
php-
4.0.6/ext/modulename .)
</P><P> After moving the files into this directory, you will need to run the
'buildall' script in the php source directory. This rebuilds the
configure script and includes the extra command line arguments from the
module you have added.
</P><P> Before running the generated configure file, you may need to edit
the
<TT>Makefile.in
</TT>. This contains the names of the source files
to compile ( just the wrapper file by default) and any additional
libraries needed to link in. If there are extra C files to compile you
will need to add them to the Makefile, or add the names of libraries if
they are needed. In most cases
<TT>Makefile.in
</TT> will be complete,
especially if you make use of
<TT>-withlibs
</TT> and
<TT>-withincs
</TT></P> swig -php4 -phpfull -withlibs
"xapian omquery
" --withincs
"om.h
"<P> Will include in the config.m4 and Makefile.in search for libxapian.a
or libxapian.so and search for libomquery.a or libomquery.so as well as
<P> You then need to run the configure command and pass the necessary
command line arguments to enable your module ( by default this is
--enable-modulename, but this can be changed by editing the config.m4
file in the modules directory before running the buildall script. In
addition, extra tests can be added to the config.m4 file to ensure the
correct libraries and header files are installed.)
</P><P> Once configure has completed, you can run make to build php. If this
all compiles correctly, you should end up with a php executable/library
which contains your new module. You can test it with a php script which
does not have the 'dl' command as used above.
</P><H3><A name=
"Php_nn1_3"></A>24.1.3 Using PHP4 Extensions
</H3>
<P> To test the extension from a PHP script, you need to load it first.
You do this by putting the line,
</P> dl(
"/path/to/modulename.so
"); // Load the module
<P> at the start of each PHP file. SWIG also generates a php module,
which attempts to do the
<TT>dl()
</TT> call for you:
</P> include(
"example.php
");
<H2><A name=
"Php_nn2"></A>24.2 Basic PHP4 interface
</H2>
<P> It is important to understand that PHP uses a single global
namespace into which all symbols from extension modules are loaded. It
is quite possible for names of symbols in one extension module to clash
with other symbols unless care is taken to
<TT>%rename
</TT> them.
</P><H3><A name=
"Php_nn2_1"></A>24.2.1 Constants
</H3>
<P> These work in much the same way as in C/C++, constants can be
defined by using either the normal C pre-processor declarations, or the
<TT>%constant
</TT> SWIG directive. These will then be available from
your PHP script as a PHP constant, (i.e. no dollar sign is needed to
access them. ) For example, with a swig file like this,
</P>%constant int E =
2.71828<P> you can access the constants in your php script like this,
</P>
include(
"example.php
");
echo
"PI =
" . PI .
"\n
";
echo
"E =
" . E .
"\n
";
<P> There are two peculiarities with using constants in PHP4. The first
is that if you try to use an undeclared constant, it will evaluate to a
string set to the constant's name. For example,
</P>#define EASY_TO_MISPELL
0<P> accessed incorrectly in PHP,
</P>
include(
"example.php
");
<P> will issue a warning about the undeclared constant, but will then
evaluate it and turn it into a string ('EASY_TO_MISPEL'), which
evaluates to true, rather than the value of the constant which would be
false. This is a feature.
</P><P> The second 'feature' is that although constants are case sensitive
(by default), you cannot declare a constant twice with alternative
<P> accessed from PHP,
</P>
include(
"example.php
");
<P> will output
"Hello Test
" rather than
"Hello World
". This is because
internally, all constants are stored in a hash table by their lower
case name, so 'TEST' and 'Test' will map to the same hash element
('Test'). But, because we declared them case sensitive, the Zend engine
will test if the case matches with the case the constant was declared
<P> So, in the example above, the TEST constant was declared first, and
will be stored under the hash element 'test'. The 'Test' constant will
also map to the same hash element 'test', but will not overwrite it.
When called from the script, the TEST constant will again be mapped to
the hash element 'test' so the constant will be retrieved. The case
will then be checked, and will match up, so the value ('Hello') will be
returned. When 'Test' is evaluated, it will also map to the same hash
element 'test'. The same constant will be retrieved, this time though
the case check will fail as 'Test' != 'TEST'. So PHP will assume that
Test is a undeclared constant, and as explained above, will return it
as a string set to the constant name ('Test'). Hence the script above
will print 'Hello Test'. If they were declared non-case sensitive, the
output would be 'Hello Hello', as both point to the same value, without
the case test taking place. ( Apologies, this paragraph needs rewriting
to make some sense. )
</P><H3><A name=
"Php_nn2_2"></A>24.2.2 Global Variables
</H3>
<P> Because PHP4 does not provide a mechanism to intercept access and
assignment of global variables, global variables are supported through
the use of automatically generated accessor functions.
</P> zend_printf(
"seki is now %f\n
",seki);
<P> is accessed as follows:
</P>
include(
"example.php
");
seki_set( seki_get() *
2); # The C variable is now
4.
<P> SWIG supports global variables of all C datatypes including pointers
and complex objects. Additional types can be supported by using the
<TT>varinit
</TT> typemap.
</P><P> SWIG honors the
<TT>%immutable
</TT> modifier by not generating code
for the
<TT>_set
</TT> method. This provides read-only access to the
variable from the php script. Attempting to access the
<TT>_set
</TT> method will result in a php fatal error because the function is
<P> At this time SWIG does not support custom accessor methods.
</P>
<H3><A name=
"Php_nn2_3"></A>24.2.3 Functions
</H3>
<P> C functions are converted into PHP functions. Default/optional
arguments are also allowed. An interface file like this :
</P>double bar(double, double b =
3.0);
<P> Will be accessed in PHP like this :
</P>
include(
"example.php
");
$c = bar(
3.5); # Use default argument for
2nd parameter
<P> Because PHP4 is a dynamically typed language, the default typemaps
used for simple types will attempt to coerce the arguments into the
appropriate type. That is the following invocations are equivalent:
</P><P> Functions are invoked using pass by value semantics like all of PHP.
This means the conversion which automatically takes place when invoking
a swig wrapped method does not change the native type of the argument
$s =
"2 A string representing two
";
$a = foo($s); # invokes 'foo(
2)';
print $s; # The value of $s was not changed.
<H3><A name=
"Php_nn2_4"></A>24.2.4 Overloading
</H3>
<P> Although PHP4 does not support overloading functions natively, swig
will generate dispatch functions which will use
<TT>%typecheck
</TT> typemaps to allow overloading. This dispatch function's operation and
precedence is described in
<A href=
"#SWIGPlus_overloaded_methods">Wrapping Overloaded Functions and Methods
</A>.
</P><P> Because PHP4 is a dynamically typed language, simple values can be
silently converted from one type to another. For example, integers,
doubles and strings silently convert to each other depending on
context. This situation make overloading slightly problematic because
given the following function:
</P><P> it is questionable which to invoke when
<TT>doit(
"2");
</TT> is used
in PHP. The string
<TT>"2"</TT> simultaneously represents the integer
<TT>2</TT> and the double
<TT>2.0</TT>.
</P>
<P> In order to provide the most natural experience to PHP programmers,
the default
<TT>%typecheck
</TT> implemented in
<TT>php4.swg
</TT> allows
any simple type (integer, double, string) in PHP to be used for any
simple C type (int, double, char *). The function selected then depends
only on the argument type precedence defined by SWIG.
</P><P> It should be noted that
<TT>SWIGTYPE
</TT> references and pointers
will not be silently converted. So these two functions:
</P>void doit( const Vector
& );
<P> Cause less confusion and
<TT>doit(
"2");
</TT> will invoke the
function taking the integer argument.
</P><H3><A name=
"Php_nn2_5"></A>24.2.5 Pointers and References
</H3>
<P> Pointers to C/C++ objects are
<B> no longer
</B> represented as
character strings such as:
<TT>_523d3f4_Circle_p
</TT>, instead they are
represented as PHP resources, rather like MySQL connection handles.
</P><P> There are multiple ways to wrap pointers to simple types. Given the
void add( int *in1, int *in2, int *result);
<P> One can include
<B> cpointer.i
</B> to generate PHP wrappers to
<TT>
%pointer_functions(int,intp)
void add( int *in1, int *in2, int *result);
<P> This will result in the following usage in PHP:
</P>
include(
"example.php
");
add( $in1, $in2, $result );
echo
"The sum
" . intp_value($in1) .
" +
" . intp_value($in2) .
" =
" . intp_value( $result) .
"\n
";
<P> An alternative would be to use the include
<B> typemaps.i
</B> which
defines named typemaps for INPUT, OUTPUT and INOUT variables. One needs
to either
<TT>%apply
</TT> the appropriate typemap or adjust the
parameter names as appropriate.
</P>void add( int *INPUT, int *INPUT, int *OUTPUT);
<P> This will result in the following usage in PHP:
</P>
include(
"example.php
");
$result= add($in1,$in2); # Note using variables for the input is unnecessary.
echo
"The sum $in1 + $in2 = $result\n
";
<P> Because PHP has a native concept of reference, it may seem more
natural to the PHP developer to use references to pass pointers. To
enable this, one needs to include
<B> phppointers.i
</B> which defines
the named typemap REFERENCE.
</P>void add( int *REF, int *REF, int *REF);
<P> This will result in the following usage in PHP:
</P>
include(
"example.php
");
add(
&$in1,
&$in2,
&$result);
echo
"The sum $in1 + $in2 = $result\n
";
<P> It is important to note that a php variable which is NULL when
passed by reference would end up passing a NULL pointer into the
function. In PHP, an unassigned variable (ie first reference is not
assigned) is NULL. In the above example, if any of the three variables
had not been assigned, a NULL pointer would have been passed into
<TT>add
</TT>. Depending on the implementation of the function, this may or
may not be a good thing.
</P><P> We chose to allow passing NULL pointers into functions because that
is sometimes required in C libraries. A NULL pointer can be created in
PHP in a number of ways: by using
<TT>unset
</TT> on an existing
variable, or assigning
<TT>NULL
</TT> to a variable.
</P><H3><A name=
"Php_nn2_6"></A>24.2.6 Structures and C++ classes
</H3>
<P> By default, SWIG represents structs and C++ classes using a PHP4
class. The PHP4 class is implemented entirely using the Zend C API so
no additional php code is generated.
</P><P> This interface file
</P>
<P> Would be used in the following way:
</P>
require
"vector.php
";
echo
"Magnitude of ($v-
>x,$v-
>y,$v-
>z) =
" . $v-
>magnitude() .
"\n
";
$v = NULL; # destructor called.
# $c destructor called when $c goes out of scope.
<P> Member variables and methods are accessed using the
<TT>-
></TT>
<H4><A name=
"Php_nn2_6_1"></A>24.2.6.1 Using
<TT>-noproxy
</TT></H4>
<P> The
<TT>-noproxy
</TT> option flattens the object structure and
generates collections of named functions. The above example results in
the following PHP functions:
</P><H4><A name=
"Php_nn2_6_2"></A>24.2.6.2 Constructors and Destructors
</H4>
<P> The constructor is called when
<TT>new Object()
</TT> (or
<TT>
new_Object()
</TT> if using
<TT>-noproxy
</TT>) is used to create an
instance of the object. If multiple constructors are defined for an
object, function overloading will be used to determine which
constructor to execute.
</P><P> Because PHP4 uses reference counting to manage resources, simple
assignment of one variable to another such as:
</P><P> causes the symbol
<TT>$ref
</TT> to refer to the same underlying
object as
<TT>$v
</TT>. This does not result in a call to the C++ copy
constructor or copy assignment operator.
</P><P> One can force execution of the copy constructor by using:
</P>
$o_copy = new Object($o);
<P> Destructors are automatically called when all variables referencing
the instance are reassigned or go out of scope. The destructor is not
available to be called manually. To force a destructor to be called the
programmer can either reassign the variable or call
<TT>unset($v)
</TT></P><H4><A name=
"Php_nn2_6_3"></A>24.2.6.3 Static Member Variables
</H4>
<P> Class variables are not supported in PHP. Static member variables
are therefore accessed using a class function with the same name, which
returns the current value of the class variable. For example
</P><P> would be accessed in PHP as,
</P>
include(
"example.php
");
echo
"There has now been
" . Ko::threats() .
" threats\n
";
<P> To set the static member variable, pass the value as the argument to
the class function, e.g.
</P>echo
"There has now been
" . Ko::threats() .
" threats\n
";
<H4><A name=
"Php_nn2_6_4"></A>24.2.6.4 Static Member Functions
</H4>
<P> Class functions are supported in PHP using the
<TT>class::function()
</TT>
</DIV> would be executed in PHP as,
<DIV class=
"code">
include(
"example.php
");
<H3><A name=
"Php_nn2_7"></A>24.2.7 PHP4 Pragmas, Startup and Shutdown
<P> To place PHP code in the generated
"example.php
" file one can use
the
<B> code
</B> pragma. The code is inserted after loading the shared
%pragma(php4) code=
"# This code is inserted into example.php
echo \
"example.php execution\\n\
";
<P> Results in the following in
"example.php
"</P>
# This code is inserted into example.php
echo
"example.php execution\n
";
<P> The
<B> include
</B> pragma is a short cut to add include statements
to the example.php file.
</P>%pragma(php4) code=
"include \
"include.php\
";
%pragma(php) include=
"include.php
" // equivalent.
<P> The
<B> phpinfo
</B> pragma inserts code in the
<TT>PHP_MINFO_FUNCTION
</TT>
which is called from PHP's phpinfo() function.
</P>%pragma(php4) phpinfo=
" zend_printf(
"An example of PHP support through SWIG\n
");
php_info_print_table_start();
php_info_print_table_header(
2, \
"Directive\
", \
"Value\
");
php_info_print_table_row(
2, \
"Example support\
", \
"enabled\
");
php_info_print_table_end();
<P> To insert code into the
<TT>PHP_MINIT_FUNCTION
</TT>, one can use
either
<TT>%init
</TT> or
<TT>%minit
</TT>.
</P> zend_printf(
"Inserted into PHP_MINIT_FUNCTION\n
");
zend_printf(
"Inserted into PHP_MINIT_FUNCTION\n
");
<P> To insert code into the
<TT>PHP_MSHUTDOWN_FUNCTION
</TT>, one can use
either
<TT>%init
</TT> or
<TT>%minit
</TT>.
</P> zend_printf(
"Inserted into PHP_MSHUTDOWN_FUNCTION\n
");
<P> The
<TT>%rinit
</TT> and
<TT>%rshutdown
</TT> statements insert code
into the request init and shutdown code respectively.
</P><H1><A name=
"Pike"></A>25 SWIG and Pike
</H1>
<LI><A href=
"#Pike_nn2">Preliminaries
</A>
<LI><A href=
"#Pike_nn3">Running SWIG
</A></LI>
<LI><A href=
"#Pike_nn4">Getting the right header files
</A></LI>
<LI><A href=
"#Pike_nn5">Using your module
</A></LI>
<LI><A href=
"#Pike_nn6">Basic C/C++ Mapping
</A>
<LI><A href=
"#Pike_nn7">Modules
</A></LI>
<LI><A href=
"#Pike_nn8">Functions
</A></LI>
<LI><A href=
"#Pike_nn9">Global variables
</A></LI>
<LI><A href=
"#Pike_nn10">Constants and enumerated types
</A></LI>
<LI><A href=
"#Pike_nn11">Constructors and Destructors
</A></LI>
<LI><A href=
"#Pike_nn12">Static Members
</A></LI>
<P> This chapter describes SWIG support for Pike. As of this writing,
the SWIG Pike module is still under development and is not considered
ready for prime time. The Pike module is being developed against the
Pike
7.4.10 release and may not be compatible with previous versions of
<P> This chapter covers most SWIG features, but certain low-level
details are covered in less depth than in earlier chapters. At the very
least, make sure you read the
"<A href=
"#SWIG">SWIG Basics
</A>"<H2><A name=
"Pike_nn2"></A>25.1 Preliminaries
</H2>
<H3><A name=
"Pike_nn3"></A>25.1.1 Running SWIG
</H3>
<P> Suppose that you defined a SWIG module such as the following:
</P>
<BR>#include
"example.h
"
<P> To build a C extension module for Pike, run SWIG using the
<TT>-pike
</TT>
<PRE>$
<B>swig -pike example.i
</B>
<P> If you're building a C++ extension, be sure to add the
<TT>-c++
</TT>
<PRE>$
<B>swig -c++ -pike example.i
</B>
<P> This creates a single source file named
<TT>example_wrap.c
</TT> (or
<TT>
example_wrap.cxx
</TT>, if you ran SWIG with the
<TT>-c++
</TT> option).
The SWIG-generated source file contains the low-level wrappers that
need to be compiled and linked with the rest of your C/C++ application
to create an extension module.
</P><P> The name of the wrapper file is derived from the name of the input
file. For example, if the input file is
<TT>example.i
</TT>, the name of
the wrapper file is
<TT>example_wrap.c
</TT>. To change this, you can
use the
<TT>-o
</TT> option:
</P><PRE>$
<B>swig -pike -o pseudonym.c example.i
</B>
<H3><A name=
"Pike_nn4"></A>25.1.2 Getting the right header files
</H3>
<P> In order to compile the C/C++ wrappers, the compiler needs to know
the path to the Pike header files. These files are usually contained in
<PRE>/usr/local/pike/
7.4.10/include/pike
<P> There doesn't seem to be any way to get Pike itself to reveal the
location of these files, so you may need to hunt around for them.
You're looking for files with the names
<TT>global.h
</TT>,
<TT>program.h
</TT> and so on.
</P><H3><A name=
"Pike_nn5"></A>25.1.3 Using your module
</H3>
<P> To use your module, simply use Pike's
<TT>import
</TT> statement:
</P>
Pike v7.4 release
10 running Hilfe v3.5 (Incremental Pike Frontend)
> <B>import example;
</B>
<H2><A name=
"Pike_nn6"></A>25.2 Basic C/C++ Mapping
</H2>
<H3><A name=
"Pike_nn7"></A>25.2.1 Modules
</H3>
<P> All of the code for a given SWIG module is wrapped into a single
Pike module. Since the name of the shared library that implements your
module ultimately determines the module's name (as far as Pike is
concerned), SWIG's
<TT>%module
</TT> directive doesn't really have any
<H3><A name=
"Pike_nn8"></A>25.2.2 Functions
</H3>
<P> Global functions are wrapped as new Pike built-in functions. For
<P> creates a new built-in function
<TT>example.fact(n)
</TT> that works
exactly as you'd expect it to:
</P>> <B>import example;
</B>
<H3><A name=
"Pike_nn9"></A>25.2.3 Global variables
</H3>
<P> Global variables are currently wrapped as a pair of of functions,
one to get the current value of the variable and another to set it. For
example, the declaration
</P><P> will result in two functions,
<TT>Foo_get()
</TT> and
<TT>Foo_set()
</TT>
> <B>import example;
</B>
> <B>Foo_set(
3.14159);
</B>
<H3><A name=
"Pike_nn10"></A>25.2.4 Constants and enumerated types
</H3>
<P> Enumerated types in C/C++ declarations are wrapped as Pike
constants, not as Pike enums.
</P><H3><A name=
"Pike_nn11"></A>25.2.5 Constructors and Destructors
</H3>
<P> Constructors are wrapped as
<TT>create()
</TT> methods, and
destructors are wrapped as
<TT>destroy()
</TT> methods, for Pike
<H3><A name=
"Pike_nn12"></A>25.2.6 Static Members
</H3>
<P> Since Pike doesn't support static methods or data for Pike classes,
static member functions in your C++ classes are wrapped as regular
functions and static member variables are wrapped as pairs of functions
(one to get the value of the static member variable, and another to set
it). The names of these functions are prepended with the name of the
class. For example, given this C++ class declaration:
</P><P> SWIG will generate a
<TT>Shape_print()
</TT> method that invokes the
static
<TT>Shape::print()
</TT> member function, as well as a pair of
methods,
<TT>Shape_nshapes_get()
</TT> and
<TT>Shape_nshapes_set()
</TT>,
to get and set the value of
<TT>Shape::nshapes
</TT>.
</P><H1><A name=
"Python"></A>26 SWIG and Python
</H1>
<LI><A href=
"#Python_nn2">Overview
</A></LI>
<LI><A href=
"#Python_nn3">Preliminaries
</A>
<LI><A href=
"#Python_nn4">Running SWIG
</A></LI>
<LI><A href=
"#Python_nn5">Getting the right header files
</A></LI>
<LI><A href=
"#Python_nn6">Compiling a dynamic module
</A></LI>
<LI><A href=
"#Python_nn7">Using distutils
</A></LI>
<LI><A href=
"#Python_nn8">Static linking
</A></LI>
<LI><A href=
"#Python_nn9">Using your module
</A></LI>
<LI><A href=
"#Python_nn10">Compilation of C++ extensions
</A></LI>
<LI><A href=
"#Python_nn11">Compiling for
64-bit platforms
</A></LI>
<LI><A href=
"#Python_nn12">Building Python Extensions under Windows
</A></LI>
<LI><A href=
"#Python_nn13">A tour of basic C/C++ wrapping
</A>
<LI><A href=
"#Python_nn14">Modules
</A></LI>
<LI><A href=
"#Python_nn15">Functions
</A></LI>
<LI><A href=
"#Python_nn16">Global variables
</A></LI>
<LI><A href=
"#Python_nn17">Constants and enums
</A></LI>
<LI><A href=
"#Python_nn18">Pointers
</A></LI>
<LI><A href=
"#Python_nn19">Structures
</A></LI>
<LI><A href=
"#Python_nn20">C++ classes
</A></LI>
<LI><A href=
"#Python_nn21">C++ inheritance
</A></LI>
<LI><A href=
"#Python_nn22">Pointers, references, values, and arrays
</A></LI>
<LI><A href=
"#Python_nn23">C++ overloaded functions
</A></LI>
<LI><A href=
"#Python_nn24">C++ operators
</A></LI>
<LI><A href=
"#Python_nn25">C++ namespaces
</A></LI>
<LI><A href=
"#Python_nn26">C++ templates
</A></LI>
<LI><A href=
"#Python_nn27">C++ Smart Pointers
</A></LI>
<LI><A href=
"#Python_nn27a">C++ Reference Counted Objects (ref/unref)
</A>
<LI><A href=
"#Python_nn28">Further details on the Python class interface
</A>
<LI><A href=
"#Python_nn29">Proxy classes
</A></LI>
<LI><A href=
"#Python_nn30">Memory management
</A></LI>
<LI><A href=
"#Python_nn31">Python
2.2 and classic classes
</A></LI>
<LI><A href=
"#directors">Cross language polymorphism
</A>
<LI><A href=
"#Python_nn33">Enabling directors
</A></LI>
<LI><A href=
"#Python_nn34">Director classes
</A></LI>
<LI><A href=
"#Python_nn35">Ownership and object destruction
</A></LI>
<LI><A href=
"#Python_nn36">Exception unrolling
</A></LI>
<LI><A href=
"#Python_nn37">Overhead and code bloat
</A></LI>
<LI><A href=
"#Python_nn38">Typemaps
</A></LI>
<LI><A href=
"#Python_nn39">Miscellaneous
</A></LI>
<LI><A href=
"#Python_nn40">Common customization features
</A>
<LI><A href=
"#Python_nn41">C/C++ helper functions
</A></LI>
<LI><A href=
"#Python_nn42">Adding additional Python code
</A></LI>
<LI><A href=
"#Python_nn43">Class extension with %extend
</A></LI>
<LI><A href=
"#Python_nn44">Exception handling with %exception
</A></LI>
<LI><A href=
"#Python_nn45">Tips and techniques
</A>
<LI><A href=
"#Python_nn46">Input and output parameters
</A></LI>
<LI><A href=
"#Python_nn47">Simple pointers
</A></LI>
<LI><A href=
"#Python_nn48">Unbounded C Arrays
</A></LI>
<LI><A href=
"#Python_nn49">String handling
</A></LI>
<LI><A href=
"#Python_nn50">Arrays
</A></LI>
<LI><A href=
"#Python_nn51">String arrays
</A></LI>
<LI><A href=
"#Python_nn52">STL wrappers
</A></LI>
<LI><A href=
"#Python_nn53">Typemaps
</A>
<LI><A href=
"#Python_nn54">What is a typemap?
</A></LI>
<LI><A href=
"#Python_nn55">Python typemaps
</A></LI>
<LI><A href=
"#Python_nn56">Typemap variables
</A></LI>
<LI><A href=
"#Python_nn57">Useful Python Functions
</A></LI>
<LI><A href=
"#Python_nn58">Typemap Examples
</A>
<LI><A href=
"#Python_nn59">Converting Python list to a char **
</A></LI>
<LI><A href=
"#Python_nn60">Expanding a Python object into multiple
<LI><A href=
"#Python_nn61">Using typemaps to return arguments
</A></LI>
<LI><A href=
"#Python_nn62">Mapping Python tuples into small arrays
</A></LI>
<LI><A href=
"#Python_nn63">Mapping sequences to C arrays
</A></LI>
<LI><A href=
"#Python_nn64">Pointer handling
</A></LI>
<LI><A href=
"#Python_nn65">Docstring Features
</A>
<LI><A href=
"#Python_nn66">Module docstring
</A></LI>
<LI><A href=
"#Python_nn67">%feature(
"autodoc
")
</A>
<LI><A href=
"#Python_nn68">%feature(
"autodoc
",
"0")
</A></LI>
<LI><A href=
"#Python_nn69">%feature(
"autodoc
",
"1")
</A></LI>
<LI><A href=
"#Python_nn70">%feature(
"autodoc
",
"docstring
")
</A></LI>
<LI><A href=
"#Python_nn71">%feature(
"docstring
")
</A></LI>
<LI><A href=
"#Python_nn72">Python Packages
</A></LI>
<P><B> Caution: This chapter is under repair!
</B></P>
<P> This chapter describes SWIG's support of Python. SWIG is compatible
with most recent Python versions including Python
2.2 as well as older
versions dating back to Python
1.5.2. For the best results, consider
using Python
2.0 or newer.
</P><P> This chapter covers most SWIG features, but certain low-level
details are covered in less depth than in earlier chapters. At the very
least, make sure you read the
"<A href=
"#SWIG">SWIG Basics
</A>"<H2><A name=
"Python_nn2"></A>26.1 Overview
</H2>
<P> To build Python extension modules, SWIG uses a layered approach in
which parts of the extension module are defined in C and other parts
are defined in Python. The C layer contains low-level wrappers whereas
Python code is used to define high-level features.
</P><P> This layered approach recognizes the fact that certain aspects of
extension building are better accomplished in each language (instead of
trying to do everything in C or C++). Furthermore, by generating code
in both languages, you get a lot more flexibility since you can enhance
the extension module with support code in either language.
</P><P> In describing the Python interface, this chapter starts by covering
the basics of configuration, compiling, and installing Python modules.
Next, the Python interface to common C and C++ programming features is
described. Advanced customization features such as typemaps are then
described followed by a discussion of low-level implementation details.
</P><H2><A name=
"Python_nn3"></A>26.2 Preliminaries
</H2>
<H3><A name=
"Python_nn4"></A>26.2.1 Running SWIG
</H3>
<P> Suppose that you defined a SWIG module such as the following:
</P>
#include
"header.h
"<P> To build a Python module, run SWIG using the
<TT>-python
</TT> option
<P> If building a C++ extension, add the
<TT>-c++
</TT> option:
</P>
$ swig -c++ -python example.i
<P> This creates two different files; a C/C++ source file
<TT>
example_wrap.c
</TT> or
<TT>example_wrap.cxx
</TT> and a Python source
file
<TT>example.py
</TT>. The generated C source file contains the
low-level wrappers that need to be compiled and linked with the rest of
your C/C++ application to create an extension module. The Python source
file contains high-level support code. This is the file that you will
import to use the module.
</P><P> The name of the wrapper file is derived from the name of the input
file. For example, if the input file is
<TT>example.i
</TT>, the name of
the wrapper file is
<TT>example_wrap.c
</TT>. To change this, you can
use the
<TT>-o
</TT> option. The name of the Python file is derived from
the module name specified with
<TT>%module
</TT>. If the module name is
<TT>example
</TT>, then a file
<TT>example.py
</TT> is created.
</P><H3><A name=
"Python_nn5"></A>26.2.2 Getting the right header files
</H3>
<P> In order to compile the C/C++ wrappers, the compiler needs the
<TT>
Python.h
</TT> header file. This file is usually contained in a directory
/usr/local/include/python2.0
<P> The exact location may vary on your machine, but the above location
is typical. If you are not entirely sure where Python is installed, you
can run Python to find out. For example:
</P>Python
2.1.1 (#
1, Jul
23 2001,
14:
36:
06)
[GCC egcs-
2.91.66 19990314/Linux (egcs-
1.1.2 release)] on linux2
Type
"copyright
",
"credits
" or
"license
" for more information.
>>> print sys.prefix
<H3><A name=
"Python_nn6"></A>26.2.3 Compiling a dynamic module
</H3>
<P> The preferred approach to building an extension module is to compile
it into a shared object file or DLL. To do this, you need to compile
your program using commands like this (shown for Linux):
</P>$ gcc -c -fPIC example_wrap.c -I/usr/local/include/python2.0
$ gcc -shared example.o example_wrap.o -o _example.so
<P> The exact commands for doing this vary from platform to platform.
However, SWIG tries to guess the right options when it is installed.
Therefore, you may want to start with one of the examples in the
<TT>SWIG/Examples/python
</TT> directory. If that doesn't work, you will need
to read the man-pages for your compiler and linker to get the right set
of options. You might also check the
<A href=
"http://swig.cs.uchicago.edu/cgi-bin/wiki.pl">SWIG Wiki
</A> for additional information.
</P><P> When linking the module,
<B> the name of the output file has to match
the name of the module prefixed by an underscore
</B>. If the name of
your module is
"<TT>example
</TT>", then the name of the corresponding
object file should be
"<TT>_example.so
</TT>" or
"<TT>_examplemodule.so
</TT>". The name of the module is specified using the
<TT>%module
</TT>
directive or the
<TT>-module
</TT> command line option.
</P><P><B> Compatibility Note:
</B> In SWIG-
1.3.13 and earlier releases,
module names did not include the leading underscore. This is because
modules were normally created as C-only extensions without the extra
Python support file (instead, creating Python code was supported as an
optional feature). This has been changed in SWIG-
1.3.14 and is
consistent with other Python extension modules. For example, the
<TT>socket
</TT> module actually consists of two files;
<TT>socket.py
</TT> and
<TT>_socket.so
</TT>. Many other built-in Python modules follow a
<H3><A name=
"Python_nn7"></A>26.2.4 Using distutils
</H3>
<H3><A name=
"Python_nn8"></A>26.2.5 Static linking
</H3>
<P> An alternative approach to dynamic linking is to rebuild the Python
interpreter with your extension module added to it. In the past, this
approach was sometimes necessary due to limitations in dynamic loading
support on certain machines. However, the situation has improved
greatly over the last few years and you should not consider this
approach unless there is really no other option.
</P><P> The usual procedure for adding a new module to Python involves
finding the Python source, adding an entry to the
<TT>Modules/Setup
</TT> file, and rebuilding the interpreter using the Python Makefile.
However, newer Python versions have changed the build process. You may
need to edit the 'setup.py' file in the Python distribution instead.
</P><P> In earlier versions of SWIG, the
<TT>embed.i
</TT> library file could
be used to rebuild the interpreter. For example:
</P>extern int mod(int, int);
extern double My_variable;
%include embed.i // Include code for a static version of Python
<P> The
<TT>embed.i
</TT> library file includes supporting code that
contains everything needed to rebuild Python. To rebuild the
interpreter, you simply do something like this:
</P>$ gcc example.c example_wrap.c \
-Xlinker -export-dynamic \
-DHAVE_CONFIG_H -I/usr/local/include/python2.1 \
-I/usr/local/lib/python2.1/config \
-L/usr/local/lib/python2.1/config -lpython2.1 -lm -ldl \
<P> You will need to supply the same libraries that were used to build
Python the first time. This may include system libraries such as
<TT>-lsocket
</TT>,
<TT>-lnsl
</TT>, and
<TT>-lpthread
</TT>. Assuming this
actually works, the new version of Python should be identical to the
default version except that your extension module will be a built-in
part of the interpreter.
</P><P><B> Comment:
</B> In practice, you should probably try to avoid static
linking if possible. Some programmers may be inclined to use static
linking in the interest of getting better performance. However, the
performance gained by static linking tends to be rather minimal in most
situations (and quite frankly not worth the extra hassle in the opinion
<P><B> Compatibility note:
</B> The
<TT>embed.i
</TT> library file is
deprecated and has not been maintained for several years. Even though
it appears to
"work
" with Python
2.1, no future support is guaranteed.
If using static linking, you might want to rely on a different approach
(perhaps using distutils).
</P><H3><A name=
"Python_nn9"></A>26.2.6 Using your module
</H3>
<P> To use your module, simply use the Python
<TT>import
</TT> statement.
If all goes well, you will be able to this:
</P>>>> import example
>>> example.fact(
4)
<P> A common error received by first-time users is the following:
</P>
>>> import example
Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
File
"example.py
", line
2, in ?
ImportError: No module named _example
<P> If you get this message, it means that you either forgot to compile
the wrapper code into an extension module or you didn't give the
extension module the right name. Make sure that you compiled the
wrappers into a module called
<TT>_example.so
</TT>. And don't forget
the leading underscore (_).
</P><P> Another possible error is the following:
</P>
>>> import example
Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
ImportError: dynamic module does not define init function (init_example)
<P> This error is almost always caused when a bad name is given to the
shared object file. For example, if you created a file
<TT>example.so
</TT> instead of
<TT>_example.so
</TT> you would get this error.
Alternatively, this error could arise if the name of the module is
inconsistent with the module name supplied with the
<TT>%module
</TT> directive. Double-check the interface to make sure the module name and
the shared object filename match. Another possible cause of this error
is forgetting to link the SWIG-generated wrapper code with the rest of
your application when creating the extension module.
</P><P> Another common error is something similar to the following:
</P>
Traceback (most recent call last):
File
"example.py
", line
3, in ?
ImportError: ./_example.so: undefined symbol: fact
<P> This error usually indicates that you forgot to include some object
files or libraries in the linking of the shared library file. Make sure
you compile both the SWIG wrapper file and your original program into a
shared library file. Make sure you pass all of the required libraries
<P> Sometimes unresolved symbols occur because a wrapper has been
created for a function that doesn't actually exist in a library. This
usually occurs when a header file includes a declaration for a function
that was never actually implemented or it was removed from a library
without updating the header file. To fix this, you can either edit the
SWIG input file to remove the offending declaration or you can use the
<TT>%ignore
</TT> directive to ignore the declaration.
</P><P> Finally, suppose that your extension module is linked with another
$ gcc -shared example.o example_wrap.o -L/home/beazley/projects/lib
<B>-lfoo
</B> \
<P> If the
<TT>foo
</TT> library is compiled as a shared library, you
might encounter the following problem when you try to use your module:
</P>>>> import example
Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
ImportError: libfoo.so: cannot open shared object file: No such file or directory
<P> This error is generated because the dynamic linker can't locate the
<TT>
libfoo.so
</TT> library. When shared libraries are loaded, the system
normally only checks a few standard locations such as
<TT>/usr/lib
</TT> and
<TT>/usr/local/lib
</TT>. To fix this problem, there are several
things you can do. First, you can recompile your extension module with
extra path information. For example, on Linux you can do this:
</P>$ gcc -shared example.o example_wrap.o -L/home/beazley/projects/lib -lfoo \
<B>-Xlinker -rpath /home/beazley/projects/lib
</B> \
<P> Alternatively, you can set the
<TT>LD_LIBRARY_PATH
</TT> environment
variable to include the directory with your shared libraries. If
setting
<TT>LD_LIBRARY_PATH
</TT>, be aware that setting this variable
can introduce a noticeable performance impact on all other applications
that you run. To set it only for Python, you might want to do this
$ env LD_LIBRARY_PATH=/home/beazley/projects/lib python
<P> Finally, you can use a command such as
<TT>ldconfig
</TT> (Linux) or
<TT>
crle
</TT> (Solaris) to add additional search paths to the default system
configuration (this requires root access and you will need to read the
<H3><A name=
"Python_nn10"></A>26.2.7 Compilation of C++ extensions
</H3>
<P> Compilation of C++ extensions has traditionally been a tricky
problem. Since the Python interpreter is written in C, you need to take
steps to make sure C++ is properly initialized and that modules are
<P> On most machines, C++ extension modules should be linked using the
C++ compiler. For example:
</P>$ swig -c++ -python example.i
$ g++ -c example_wrap.cxx -I/usr/local/include/python2.0
$ g++ -shared example.o example_wrap.o -o _example.so
<P> On some platforms, you could also need to generate
position-independent code (PIC), by using a compiler option such as
-fPIC. Notably, the x86_64 (Opteron and EM64T) platform requires it,
and when using the GNU Compiler Suite, you will need to modify the
previous example as follows:
</P>$ swig -c++ -python example.i
$ g++ -fPIC -c example.cxx
$ g++ -fPIC -c example_wrap.cxx -I/usr/local/include/python2.0
$ g++ -shared example.o example_wrap.o -o _example.so
<P> In addition to this, you may need to include additional library
files to make it work. For example, if you are using the Sun C++
compiler on Solaris, you often need to add an extra library
<TT>-lCrun
</TT>$ swig -c++ -python example.i
$ CC -c example_wrap.cxx -I/usr/local/include/python2.0
$ CC -G example.o example_wrap.o -L/opt/SUNWspro/lib -o _example.so -lCrun
<P> Of course, the extra libraries to use are completely
non-portable---you will probably need to do some experimentation.
</P><P> Sometimes people have suggested that it is necessary to relink the
Python interpreter using the C++ compiler to make C++ extension modules
work. In the experience of this author, this has never actually
appeared to be necessary. Relinking the interpreter with C++ really
only includes the special run-time libraries described above---as long
as you link your extension modules with these libraries, it should not
be necessary to rebuild Python.
</P><P> If you aren't entirely sure about the linking of a C++ extension,
you might look at an existing C++ program. On many Unix machines, the
<TT>ldd
</TT> command will list library dependencies. This should give you
some clues about what you might have to include when you link your
extension module. For example:
</P> libstdc++-libc6.1-
1.so
.2 =
> /usr/lib/libstdc++-libc6.1-
1.so
.2 (
0x40019000)
libm.so
.6 =
> /lib/libm.so
.6 (
0x4005b000)
libc.so
.6 =
> /lib/libc.so
.6 (
0x40077000)
/lib/ld-linux.so
.2 =
> /lib/ld-linux.so
.2 (
0x40000000)
<P> As a final complication, a major weakness of C++ is that it does not
define any sort of standard for binary linking of libraries. This means
that C++ code compiled by different compilers will not link together
properly as libraries nor is the memory layout of classes and data
structures implemented in any kind of portable manner. In a monolithic
C++ program, this problem may be unnoticed. However, in Python, it is
possible for different extension modules to be compiled with different
C++ compilers. As long as these modules are self-contained, this
probably won't matter. However, if these modules start sharing data,
you will need to take steps to avoid segmentation faults and other
erratic program behavior. If working with lots of software components,
you might want to investigate using a more formal standard such as COM.
</P><H3><A name=
"Python_nn11"></A>26.2.8 Compiling for
64-bit platforms
</H3>
<P> On platforms that support
64-bit applications (Solaris, Irix, etc.),
special care is required when building extension modules. On these
machines,
64-bit applications are compiled and linked using a different
set of compiler/linker options. In addition, it is not generally
possible to mix
32-bit and
64-bit code together in the same
<P> To utilize
64-bits, the Python executable will need to be recompiled
as a
64-bit application. In addition, all libraries, wrapper code, and
every other part of your application will need to be compiled for
64-bits. If you plan to use other third-party extension modules, they
will also have to be recompiled as
64-bit extensions.
</P><P> If you are wrapping commercial software for which you have no source
code, you will be forced to use the same linking standard as used by
that software. This may prevent the use of
64-bit extensions. It may
also introduce problems on platforms that support more than one linking
standard (e.g., -o32 and -n32 on Irix).
</P><P> On the Linux x86_64 platform (Opteron or EM64T), besides of the
required compiler option -fPIC discussed above, you will need to be
careful about the libraries you link with or the library path you use.
In general, a Linux distribution will have two set of libraries, one
for native x86_64 programs (under /usr/lib64), and another for
32 bits
compatibility (under /usr/lib). Also, the compiler options -m32 and
-m64 allow you to choose the desired binary format for your python
<H3><A name=
"Python_nn12"></A>26.2.9 Building Python Extensions under
<P> Building a SWIG extension to Python under Windows is roughly similar
to the process used with Unix. You will need to create a DLL that can
be loaded into the interpreter. This section briefly describes the use
of SWIG with Microsoft Visual C++. As a starting point, many of SWIG's
examples include project files. You might want to take a quick look at
these in addition to reading this section.
</P><P> In Developer Studio, SWIG should be invoked as a custom build
option. This is usually done as follows:
</P><LI>Open up a new workspace and use the AppWizard to select a DLL
<LI>Add both the SWIG interface file (the .i file), any supporting C
files, and the name of the wrapper file that will be created by SWIG
(ie.
<TT>example_wrap.c
</TT>). Note : If using C++, choose a different
suffix for the wrapper file such as
<TT>example_wrap.cxx
</TT>. Don't
worry if the wrapper file doesn't exist yet--Developer Studio keeps a
<LI>Select the SWIG interface file and go to the settings menu. Under
settings, select the
"Custom Build
" option.
</LI><LI>Enter
"SWIG
" in the description field.
</LI>
<LI>Enter
"<TT>swig -python -o $(ProjDir)\$(InputName)_wrap.c
$(InputPath)
</TT>" in the
"Build command(s) field
"</LI><LI>Enter
"<TT>$(ProjDir)\$(InputName)_wrap.c
</TT>" in the
"Output
files(s) field
".
</LI><LI>Next, select the settings for the entire project and go to
"C++:Preprocessor
". Add the include directories for your Python
installation under
"Additional include directories
".
</LI><LI>Define the symbol __WIN32__ under preprocessor options.
</LI>
<LI>Finally, select the settings for the entire project and go to
"Link
Options
". Add the Python library file to your link libraries. For
example
"python21.lib
". Also, set the name of the output file to match
the name of your Python module (ie. _example.dll).
</LI><LI>Build your project.
</LI>
<P> If all went well, SWIG will be automatically invoked whenever you
build your project. Any changes made to the interface file will result
in SWIG being automatically executed to produce a new version of the
<P> To run your new Python extension, simply run Python and use the
<TT>
import
</TT> command as normal. For example :
</P>>>> import example
>>> print example.fact(
4)
<P> If you get an
<TT>ImportError
</TT> exception when importing the
module, you may have forgotten to include aditional library files when
you built your module. If you get an access violation or some kind of
general protection fault immediately upon import, you have a more
serious problem. This is often caused by linking your extension module
against the wrong set of Win32 debug or thread libraries. You will have
to fiddle around with the build options of project to try and track
<P> Some users have reported success in building extension modules using
Cygwin and other compilers. However, the problem of building usable
DLLs with these compilers tends to be rather problematic. For the
latest information, you may want to consult the
<A href=
"http://swig.cs.uchicago.edu/cgi-bin/wiki.pl"><H2><A name=
"Python_nn13"></A>26.3 A tour of basic C/C++ wrapping
</H2>
<P> By default, SWIG tries to build a very natural Python interface to
your C/C++ code. Functions are wrapped as functions, classes are
wrapped as classes, and so forth. This section briefly covers the
essential aspects of this wrapping.
</P><H3><A name=
"Python_nn14"></A>26.3.1 Modules
</H3>
<P> The SWIG
<TT>%module
</TT> directive specifies the name of the Python
module. If you specify `
<TT>%module example
</TT>', then everything is
wrapped into a Python '
<TT>example
</TT>' module. Underneath the covers,
this module consists of a Python source file
<TT>example.py
</TT> and a
low-level extension module
<TT>_example.so
</TT>. When choosing a module
name, make sure you don't use the same name as a built-in Python
command or standard module name.
</P><H3><A name=
"Python_nn15"></A>26.3.2 Functions
</H3>
<P> Global functions are wrapped as new Python built-in functions. For
<P> creates a built-in function
<TT>example.fact(n)
</TT> that works
exactly like you think it does:
</P>>>> import example
>>> print example.fact(
4)
<H3><A name=
"Python_nn16"></A>26.3.3 Global variables
</H3>
<P> C/C++ global variables are fully supported by SWIG. However, the
underlying mechanism is somewhat different than you might expect due to
the way that Python assignment works. When you type the following in
<P> "a
" becomes a name for an object containing the value
3.4. If you
<P> then
"a
" and
"b
" are both names for the object containing the value
3.4. Thus, there is only one object containing
3.4 and
"a
" and
"b
" are
both names that refer to it. This is quite different than C where a
variable name refers to a memory location in which a value is stored
(and assignment copies data into that location). Because of this, there
is no direct way to map variable assignment in C to variable assignment
<P> To provide access to C global variables, SWIG creates a special
object called `
<TT>cvar
</TT>' that is added to each SWIG generated
module. Global variables are then accessed as attributes of this
object. For example, consider this interface
</P>// SWIG interface file with global variables
<P> Now look at the Python interface:
</P>
>>> import example
>>> # Print out value of a C global variable
>>> print example.cvar.My_variable
>>> # Set the value of a C global variable
>>> example.cvar.density =
0.8442
>>> # Use in a math operation
>>> example.cvar.density = example.cvar.density*
1.10
<P> If you make an error in variable assignment, you will receive an
error message. For example:
</P>>>> example.cvar.density =
"Hello
"
Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
TypeError: C variable 'density (double )'
<P> If a variable is declared as
<TT>const
</TT>, it is wrapped as a
read-only variable. Attempts to modify its value will result in an
<P> To make ordinary variables read-only, you can use the
<TT>%immutable
</TT>
directive. For example:
</P><P> The
<TT>%immutable
</TT> directive stays in effect until it is
explicitly disabled or cleared using
<TT>%mutable
</TT>. See the
<A href=
"#SWIG_readonly_variables">Creatng read-only variables
</A> section for further details.
</P><P> If you just want to make a specific variable immutable, supply a
declaration name. For example:
</P>extern char *path; // Read-only (due to %immutable)
<P> If you would like to access variables using a name other than
"<TT>
cvar
</TT>", it can be changed using the
<TT>-globals
</TT> option :
</P>$ swig -python -globals myvar example.i
<P> Some care is in order when importing multiple SWIG modules. If you
use the
"<TT>from
<file
> import *
</TT>" style of importing, you will
get a name clash on the variable `
<TT>cvar
</TT>' and you will only be
able to access global variables from the last module loaded. To prevent
this, you might consider renaming
<TT>cvar
</TT> or making it private to
the module by giving it a name that starts with a leading underscore.
SWIG does not create
<TT>cvar
</TT> if there are no global variables in
<H3><A name=
"Python_nn17"></A>26.3.4 Constants and enums
</H3>
<P> C/C++ constants are installed as Python objects containing the
appropriate value. To create a constant, use
<TT>#define
</TT>,
<TT>enum
</TT>, or the
<TT>%constant
</TT> directive. For example:
</P>#define VERSION
"1.0"enum Beverage { ALE, LAGER, STOUT, PILSNER };
%constant const char *path =
"/usr/local
";
<P> For enums, make sure that the definition of the enumeration actually
appears in a header file or in the wrapper file somehow---if you just
stick an enum in a SWIG interface without also telling the C compiler
about it, the wrapper code won't compile.
</P><P> Note: declarations declared as
<TT>const
</TT> are wrapped as
read-only variables and will be accessed using the
<TT>cvar
</TT> object
described in the previous section. They are not wrapped as constants.
For further discussion about this, see the
<A href=
"#SWIG">SWIG Basics
</A><P> Constants are not guaranteed to remain constant in Python---the name
of the constant could be accidentally reassigned to refer to some other
object. Unfortunately, there is no easy way for SWIG to generate code
that prevents this. You will just have to be careful.
</P><H3><A name=
"Python_nn18"></A>26.3.5 Pointers
</H3>
<P> C/C++ pointers are fully supported by SWIG. Furthermore, SWIG has no
problem working with incomplete type information. Here is a rather
FILE *fopen(const char *filename, const char *mode);
int fputs(const char *, FILE *);
<P> When wrapped, you will be able to use the functions in a natural way
from Python. For example:
</P>>>> import example
>>> f = example.fopen(
"junk
",
"w
")
>>> example.fputs(
"Hello World\n
", f)
>>> example.fclose(f)
<P> If this makes you uneasy, rest assured that there is no deep magic
involved. Underneath the covers, pointers to C/C++ objects are simply
represented as opaque values using an especial python container object:
</P><Swig Object at _08a71808_p_FILE
>
<P> This pointer value can be freely passed around to different C
functions that expect to receive an object of type
<TT>FILE *
</TT>. The
only thing you can't do is dereference the pointer from Python. Of
course, that isn't much of a concern in this example.
</P><P> In older versions of Swig (
1.3.22 or older), pointers were
represented using a plain string object. If you have an old package
that still requires that representation, or you just feel nostalgic,
you can always retreive it by casting the pointer object to a string:
</P>>>> print str(f)
<P> Also, if you need to pass the raw pointer value to some external
python library, you can do it by casting the pointer object to an
>>> print int(f)
<P> However, the inverse operation is not possible, i.e., you can't
build a Swig pointer object from a raw integer value.
</P><P> Note also that the '
0' or NULL pointer is always represented by
<TT>
None
</TT>, no matter what type swig is addressing. In the previous
example, you can call:
</P>>>> example.fclose(None)
<P> and that will be equivalent to the following, but not really useful,
<P> As much as you might be inclined to modify a pointer value directly
from Python, don't. The hexadecimal encoding is not necessarily the
same as the logical memory address of the underlying object. Instead it
is the raw byte encoding of the pointer value. The encoding will vary
depending on the native byte-ordering of the platform (i.e., big-endian
vs. little-endian). Similarly, don't try to manually cast a pointer to
a new type by simply replacing the type-string. This may not work like
you expect, it is particularly dangerous when casting C++ objects. If
you need to cast a pointer or change its value, consider writing some
helper functions instead. For example:
</P> return dynamic_cast
<Foo*
>(b);
Foo *IncrFoo(Foo *f, int i) {
<P> Also, if working with C++, you should always try to use the new C++
style casts. For example, in the above code, the C-style cast may
return a bogus result whereas as the C++-style cast will return
<TT>None
</TT> if the conversion can't be performed.
</P><H3><A name=
"Python_nn19"></A>26.3.6 Structures
</H3>
<P> If you wrap a C structure, it is wrapped by a Python class. This
provides a very natural interface. For example,
</P><P> is used as follows:
</P>
>>> v = example.Vector()
>>> print v.x, v.y, v.z
<P> Similar access is provided for unions and the data members of C++
<P> If you print out the value of
<TT>v
</TT> in the above example, you
will see something like this:
</P><C Vector instance at _18e31408_p_Vector
>
<P> This object is actually a Python instance that has been wrapped
around a pointer to the low-level C structure. This instance doesn't
actually do anything--it just serves as a proxy. The pointer to the C
object can be found in the the
<TT>.this
</TT> attribute. For example:
</P>>>> print v.this
<P> Further details about the Python proxy class are covered a little
<P> <TT>const
</TT> members of a structure are read-only. Data members
can also be forced to be read-only using the
<TT>%immutable
</TT> directive. For example:
</P> int x; /* Read-only members */
<P> When
<TT>char *
</TT> members of a structure are wrapped, the
contents are assumed to be dynamically allocated using
<TT>malloc
</TT> or
<TT>new
</TT> (depending on whether or not SWIG is run with the -c++
option). When the structure member is set, the old contents will be
released and a new value created. If this is not the behavior you want,
you will have to use a typemap (described later).
</P><P> If a structure contains arrays, access to those arrays is managed
through pointers. For example, consider this:
</P><P> If accessed in Python, you will see behavior like this:
</P>
>>> b = example.Bar()
<P> This pointer can be passed around to functions that expect to
receive an
<TT>int *
</TT> (just like C). You can also set the value of
an array member using another pointer. For example:
</P>>>> c = example.Bar()
>>> c.x = b.x # Copy contents of b.x to c.x
<P> For array assignment, SWIG copies the entire contents of the array
starting with the data pointed to by
<TT>b.x
</TT>. In this example,
16 integers would be copied. Like C, SWIG makes no assumptions about
bounds checking---if you pass a bad pointer, you may get a segmentation
fault or access violation.
</P><P> When a member of a structure is itself a structure, it is handled as
a pointer. For example, suppose you have two structures like this:
</P><P> Now, suppose that you access the
<TT>f
</TT> attribute of
<TT>Bar
</TT>
<P> In this case,
<TT>x
</TT> is a pointer that points to the
<TT>Foo
</TT>
that is inside
<TT>b
</TT>. This is the same value as generated by this
Foo *x =
&b-
>f; /* Points inside b */
<P> Because the pointer points inside the structure, you can modify the
contents and everything works just like you would expect. For example:
</P>>>> b.f.a =
3 # Modify attribute of structure member
>>> x.a =
3 # Modifies the same structure
<H3><A name=
"Python_nn20"></A>26.3.7 C++ classes
</H3>
<P> C++ classes are wrapped by Python classes as well. For example, if
<P> you can use it in Python like this:
</P>
>>> l = example.List()
>>> l.insert(
"Ale
")
>>> l.insert(
"Stout
")
>>> l.insert(
"Lager
")
>>> print l.length
<P> Class data members are accessed in the same manner as C structures.
</P>
<P> Static class members present a special problem for Python. Prior to
Python-
2.2, Python classes had no support for static methods and no
version of Python supports static member variables in a manner that
SWIG can utilize. Therefore, SWIG generates wrappers that try to work
around some of these issues. To illustrate, suppose you have a class
<P> In Python, the static member can be access in three different ways:
</P>
>>> example.Spam_foo() # Spam::foo()
>>> s = example.Spam()
>>> s.foo() # Spam::foo() via an instance
>>> example.Spam.foo() # Spam::foo(). Python-
2.2 only
<P> The first two methods of access are supported in all versions of
Python. The last technique is only available in Python-
2.2 and later
<P> Static member variables are currently accessed as global variables.
This means, they are accessed through
<TT>cvar
</TT> like this:
</P>>>> print example.cvar.Spam_bar
<H3><A name=
"Python_nn21"></A>26.3.8 C++ inheritance
</H3>
<P> SWIG is fully aware of issues related to C++ inheritance. Therefore,
if you have classes like this
</P><P> those classes are wrapped into a hierarchy of Python classes that
reflect the same inheritance structure. All of the usual Python utility
functions work normally:
</P>>>> instance(b,Foo)
>>> issubclass(Bar,Foo)
>>> issubclass(Foo,Bar)
<P> Furthermore, if you have functions like this
</P>
<P> then the function
<TT>spam()
</TT> accepts
<TT>Foo *
</TT> or a
pointer to any class derived from
<TT>Foo
</TT>.
</P><P> It is safe to use multiple inheritance with SWIG.
</P>
<H3><A name=
"Python_nn22"></A>26.3.9 Pointers, references, values, and
<P> In C++, there are many different ways a function might receive and
manipulate objects. For example:
</P>void spam1(Foo *x); // Pass by pointer
void spam2(Foo
&x); // Pass by reference
void spam3(const Foo
&x);// Pass by const reference
void spam4(Foo x); // Pass by value
void spam5(Foo x[]); // Array of objects
<P> In Python, there is no detailed distinction like this--specifically,
there are only
"objects
". There are no pointers, references, arrays,
and so forth. Because of this, SWIG unifies all of these types together
in the wrapper code. For instance, if you actually had the above
functions, it is perfectly legal to do this:
</P>>>> f = Foo() # Create a Foo
>>> spam1(f) # Ok. Pointer
>>> spam2(f) # Ok. Reference
>>> spam3(f) # Ok. Const reference
>>> spam4(f) # Ok. Value.
>>> spam5(f) # Ok. Array (
1 element)
<P> Similar behavior occurs for return values. For example, if you had
<P> then all three functions will return a pointer to some
<TT>Foo
</TT>
object. Since the third function (spam8) returns a value, newly
allocated memory is used to hold the result and a pointer is returned
(Python will release this memory when the return value is garbage
collected). The fourth case (spam9) which returns a const reference, in
most of the cases will be treated as a returning value, and it will
follow the same allocation/deallocation process.
</P><H3><A name=
"Python_nn23"></A>26.3.10 C++ overloaded functions
</H3>
<P> C++ overloaded functions, methods, and constructors are mostly
supported by SWIG. For example, if you have two functions like this:
</P><P> You can use them in Python in a straightforward manner:
</P>
>>> foo(
3) # foo(int)
>>> foo(
"Hello
") # foo(char *c)
<P> Similarly, if you have a class like this,
</P>
<P> you can write Python code like this:
</P>
>>> f = Foo() # Create a Foo
>>> g = Foo(f) # Copy f
<P> Overloading support is not quite as flexible as in C++. Sometimes
there are methods that SWIG can't disambiguate. For example:
</P><P> If declarations such as these appear, you will get a warning message
example.i:
12: Warning(
509): Overloaded spam(short) is shadowed by spam(int)
<P> To fix this, you either need to ignore or rename one of the methods.
%rename(spam_short) spam(short);
void spam(short); // Accessed as spam_short
void spam(short); // Ignored
<P> SWIG resolves overloaded functions and methods using a
disambiguation scheme that ranks and sorts declarations according to a
set of type-precedence rules. The order in which declarations appear in
the input does not matter except in situations where ambiguity
arises--in this case, the first declaration takes precedence.
</P><P> Please refer to the
"SWIG and C++
" chapter for more information
<H3><A name=
"Python_nn24"></A>26.3.11 C++ operators
</H3>
<P> Certain C++ overloaded operators can be handled automatically by
SWIG. For example, consider a class like this:
</P> Complex(double r =
0, double i =
0) : rpart(r), ipart(i) { }
Complex(const Complex
&c) : rpart(c.rpart), ipart(c.ipart) { }
Complex
&operator=(const Complex
&c);
Complex operator+=(const Complex
&c) const;
Complex operator+(const Complex
&c) const;
Complex operator-(const Complex
&c) const;
Complex operator*(const Complex
&c) const;
Complex operator-() const;
double re() const { return rpart; }
double im() const { return ipart; }
<P> When wrapped, it works like you expect:
</P>
>>> c = Complex(
3,
4)
>>> d = Complex(
7,
8)
<P> One restriction with operator overloading support is that SWIG is
not able to fully handle operators that aren't defined as part of the
class. For example, if you had code like this
</P>friend Complex operator+(double, const Complex
&c);
<P> then SWIG ignores it and issues a warning. You can still wrap the
operator, but you may have to encapsulate it in a special function. For
%rename(Complex_add_dc) operator+(double, const Complex
&);
<P> There are ways to make this operator appear as part of the class
using the
<TT>%extend
</TT> directive. Keep reading.
</P><P> Also, be aware that certain operators don't map cleanly to Python.
For instance, overloaded assignment operators don't map to Python
semantics and will be ignored.
</P><H3><A name=
"Python_nn25"></A>26.3.12 C++ namespaces
</H3>
<P> SWIG is aware of C++ namespaces, but namespace names do not appear
in the module nor do namespaces result in a module that is broken up
into submodules or packages. For example, if you have a file like this,
</P><P> it works in Python as follows:
</P>
>>> import example
>>> example.fact(
3)
>>> v = example.Vector()
<P> If your program has more than one namespace, name conflicts (if any)
can be resolved using
<TT>%rename
</TT> For example:
</P>%rename(Bar_spam) Bar::spam;
<P> If you have more than one namespace and your want to keep their
symbols separate, consider wrapping them as separate SWIG modules. For
example, make the module name the same as the namespace and create
extension modules for each namespace separately. If your program
utilizes thousands of small deeply nested namespaces each with
identical symbol names, well, then you get what you deserve.
</P><H3><A name=
"Python_nn26"></A>26.3.13 C++ templates
</H3>
<P> C++ templates don't present a huge problem for SWIG. However, in
order to create wrappers, you have to tell SWIG to create wrappers for
a particular template instantiation. To do this, you use the
<TT>%template
</TT> directive. For example:
</P>#include
"pair.h
"template
<class T1, class T2
> pair(const T1
&, const T2
&);
%template(pairii) pair
<int,int
>;
>>> import example
>>> p = example.pairii(
3,
4)
<P> Obviously, there is more to template wrapping than shown in this
example. More details can be found in the
<A href=
"#SWIGPlus">SWIG and
C++
</A> chapter. Some more complicated examples will appear later.
</P><H3><A name=
"Python_nn27"></A>26.3.14 C++ Smart Pointers
</H3>
<P> In certain C++ programs, it is common to use classes that have been
wrapped by so-called
"smart pointers.
" Generally, this involves the use
of a template class that implements
<TT>operator-
>()
</TT> like this:
</P>template
<class T
> class SmartPtr {
<P> Then, if you have a class like this,
</P>
<P> A smart pointer would be used in C++ as follows:
</P>
SmartPtr
<Foo
> p = CreateFoo(); // Created somehow (not shown)
int y = p-
>bar(); // Foo::bar
<P> To wrap this in Python, simply tell SWIG about the
<TT>SmartPtr
</TT>
class and the low-level
<TT>Foo
</TT> object. Make sure you instantiate
<TT>SmartPtr
</TT> using
<TT>%template
</TT> if necessary. For example:
</P>%template(SmartPtrFoo) SmartPtr
<Foo
>;
<P> Now, in Python, everything should just
"work
":
</P>
>>> p = example.CreateFoo() # Create a smart-pointer somehow
>>> p.x =
3 # Foo::x
>>> p.bar() # Foo::bar
<P> If you ever need to access the underlying pointer returned by
<TT>
operator-
>()
</TT> itself, simply use the
<TT>__deref__()
</TT> method.
>>> f = p.__deref__() # Returns underlying Foo *
<H3><A name=
"Python_nn27a"></A>26.3.15 C++ Reference Counted Objects
<P> Another usual idiom in C++ is the use of reference counted objects.
Consider for example:
<DIV class=
"code"> // implement the ref counting mechanism
if (ref_count() ==
0 || del_ref() ==
0 ) {
a-
>ref(); // 'a' is ref here
B *b1 = new B(a); // 'a' is ref here
B *b2 = new B(a); // 'a' is ref here
delete b2; // 'a' is unref, but not deleted
delete b1; // 'a' is unref, but not deleted
a-
>unref(); // 'a' is unref and deleted
<P> In the example above, the 'A' class instance 'a' is a reference
counted object, which can't be deleted arbitrarily since it is shared
between the objects 'b1' and 'b2'. 'A' is derived from an Reference
Counted Object 'RCObj', which implements the ref/unref idiom.
</P><P> To tell SWIG that 'RCObj' and all its derived classes are reference
counted objects, you use the
"ref
" and
"unref
" features. For example:
</P>%feature(
"ref
") RCObj
"$this-
>ref();
"%feature(
"unref
") RCObj
"$this-
>unref();
"%include
"rcobj.h
"<P> where the code passed to the
"ref
" and
"unref
" methods will be
executed as needed whenever a new object is passed to python, or when
python tries to release the shadow object instance, respectively.
</P><P> In the python side, the use of a reference counted object is not
different than any other regular instance:
</P> a = A() # SWIG ref 'a' (new object is passed to python)
return a # 'b1' and 'b2' are released, C++ unref 'a' twice
exit # 'a' is released, SWIG unref 'a'
<P> Note that the user doens't explicitly need to call 'a-
>ref()' nor
'a-
>unref()' (as neither 'delete a'). Instead, SWIG take cares of
executing the
"ref
" and
"unref
" codes as needed. If the user doesn't
specify the
"ref/unref
" features, SWIG will produce a code equivalent
%feature(
"ref
")
""%feature(
"unref
")
"delete $this;
"<P> In other words, SWIG will not do anything special when a new object
is passed to python, and it will always 'delete' the object when python
releases the shadow instance.
</P><H2><A name=
"Python_nn28"></A>26.4 Further details on the Python class
<P> In the previous section, a high-level view of Python wrapping was
presented. A key component of this wrapping is that structures and
classes are wrapped by Python proxy classes. This provides a very
natural Python interface and allows SWIG to support a number of
advanced features such as operator overloading. However, a number of
low-level details were omitted. This section provides a brief overview
of how the proxy classes work.
</P><H3><A name=
"Python_nn29"></A>26.4.1 Proxy classes
</H3>
<P> In the
<A href=
"#SWIG">"SWIG basics
"</A> and
<A href=
"#SWIGPlus">
"SWIG and C++
"</A> chapters, details of low-level structure and class
wrapping are described. To summarize those chapters, if you have a
<P> then SWIG transforms it into a set of low-level procedural wrappers.
void delete_Foo(Foo *f) {
void Foo_x_set(Foo *f, int value) {
int Foo_spam(Foo *f, int arg1) {
<P> These wrappers can be found in the low-level extension module (e.g.,
<P> Using these wrappers, SWIG generates a high-level Python proxy class
(also known as a shadow class) like this (shown for Python
2.2):
</P> self.this = _example.new_Foo()
_example.delete_Foo(self.this)
return _example.Foo_spam(self.this,arg1)
x = property(_example.Foo_x_get, _example.Foo_x_set)
<P> This class merely holds a pointer to the underlying C++ object (
<TT>
.this
</TT>) and dispatches methods and member variable access to that
object using the low-level accessor functions. From a user's point of
view, it makes the class work normally:
</P>>>> f = example.Foo()
>>> y = f.spam(
5)
<P> The fact that the class has been wrapped by a real Python class
offers certain advantages. For instance, you can attach new Python
methods to the class and you can even inherit from it (something not
supported by Python built-in types until Python
2.2).
</P><H3><A name=
"Python_nn30"></A>26.4.2 Memory management
</H3>
<P> Associated with proxy object, is an ownership flag
<TT>.thisown
</TT>
The value of this flag determines who is responsible for deleting the
underlying C++ object. If set to
1, the Python interpreter will destroy
the C++ object when the proxy class is garbage collected. If set to
0 (or if the attribute is missing), then the destruction of the proxy
class has no effect on the C++ object.
</P><P> When an object is created by a constructor or returned by value,
Python automatically takes ownership of the result. For example:
</P><P> On the other hand, when pointers are returned to Python, there is
often no way to know where they came from. Therefore, the ownership is
set to zero. For example:
</P><BR><DIV class=
"targetlang">
>>> s = f.spam()
>>> print s.thisown
<P> This behavior is especially important for classes that act as
containers. For example, if a method returns a pointer to an object
that is contained inside another object, you definitely don't want
Python to assume ownership and destroy it!
</P><P> Related to containers, ownership issues can arise whenever an object
is assigned to a member or global variable. For example, consider this
<P> When wrapped in Python, careful observation will reveal that
ownership changes whenever an object is assigned to a global variable.
>>> f = example.Foo()
>>> example.cvar.head = f
<P> In this case, C is now holding a reference to the object---you
probably don't want Python to destroy it. Similarly, this occurs for
members. For example:
</P>>>> f = example.Foo()
>>> g = example.Foo()
<P> For the most part, memory management issues remain hidden. However,
there are occasionally situations where you might have to manually
change the ownership of an object. For instance, consider code like
void set_value(Object *v) { value = v; }
<P> Now, consider the following Python code:
</P>
>>> v = Object() # Create an object
>>> n = Node() # Create a node
>>> n.set_value(v) # Set value
<P> In this case, the object
<TT>n
</TT> is holding a reference to
<TT>v
</TT>
internally. However, SWIG has no way to know that this has occurred.
Therefore, Python still thinks that it has ownership of the object.
Should the proxy object be destroyed, then the C++ destructor will be
invoked and
<TT>n
</TT> will be holding a stale-pointer. If you're
lucky, you will only get a segmentation fault.
</P><P> To work around this, it is always possible to flip the ownership
>>> v.thisown =
0
<P> It is also possible to deal with situations like this using
typemaps--an advanced topic discussed later.
</P><H3><A name=
"Python_nn31"></A>26.4.3 Python
2.2 and classic classes
</H3>
<P> SWIG makes every attempt to preserve backwards compatibility with
older versions of Python to the extent that it is possible. However, in
Python-
2.2, an entirely new type of class system was introduced. This
new-style class system offers many enhancements including static member
functions, properties (managed attributes), and class methods. Details
about all of these changes can be found on
<A href=
"//www.python.org">www.python.org
</A> and is not repeated here.
</P><P> To address differences between Python versions, SWIG currently emits
dual-mode proxy class wrappers. In Python-
2.2 and newer releases, these
wrappers encapsulate C++ objects in new-style classes that take
advantage of new features (static methods and properties). However, if
these very same wrappers are imported into an older version of Python,
old-style classes are used instead.
</P><P> This dual-nature of the wrapper code means that you can create
extension modules with SWIG and those modules will work with all
versions of Python ranging from Python-
1.4 to the very latest release.
Moreover, the wrappers take advantage of Python-
2.2 features when
<P> For the most part, the interface presented to users is the same
regardless of what version of Python is used. The only incompatibility
lies in the handling of static member functions. In Python-
2.2, they
can be accessed via the class itself. In Python-
2.1 and earlier, they
have to be accessed as a global function or through an instance (see
the earlier section).
</P><H2><A name=
"directors"></A>26.5 Cross language polymorphism
</H2>
<P> Proxy classes provide a more natural, object-oriented way to access
extension classes. As described above, each proxy instance has an
associated C++ instance, and method calls to the proxy are passed to
the C++ instance transparently via C wrapper functions.
</P><P> This arrangement is asymmetric in the sense that no corresponding
mechanism exists to pass method calls down the inheritance chain from
C++ to Python. In particular, if a C++ class has been extended in
Python (by extending the proxy class), these extensions will not be
visible from C++ code. Virtual method calls from C++ are thus not able
access the lowest implementation in the inheritance chain.
</P><P> Changes have been made to SWIG
1.3.18 to address this problem and
make the relationship between C++ classes and proxy classes more
symmetric. To achieve this goal, new classes called directors are
introduced at the bottom of the C++ inheritance chain. The job of the
directors is to route method calls correctly, either to C++
implementations higher in the inheritance chain or to Python
implementations lower in the inheritance chain. The upshot is that C++
classes can be extended in Python and from C++ these extensions look
exactly like native C++ classes. Neither C++ code nor Python code needs
to know where a particular method is implemented: the combination of
proxy classes, director classes, and C wrapper functions takes care of
all the cross-language method routing transparently.
</P><H3><A name=
"Python_nn33"></A>26.5.1 Enabling directors
</H3>
<P> The director feature is disabled by default. To use directors you
must make two changes to the interface file. First, add the
"directors
" option to the %module directive, like this:
</P>%module(directors=
"1") modulename
<P> Without this option no director code will be generated. Second, you
must use the %feature(
"director
") directive to tell SWIG which classes
and methods should get directors. The %feature directive can be applied
globally, to specific classes, and to specific methods, like this:
</P>// generate directors for all classes that have virtual methods
%feature(
"director
");
// genarate directors for all virtual methods in class Foo
%feature(
"director
") Foo;
// generate a director for just Foo::bar()
%feature(
"director
") Foo::bar;
<P> You can use the %feature(
"nodirector
") directive to turn off
directors for specific classes or methods. So for example,
</P>%feature(
"director
") Foo;
%feature(
"nodirector
") Foo::bar;
<P> will generate directors for all virtual methods of class Foo except
<P> Directors can also be generated implicitly through inheritance. In
the following, class Bar will get a director class that handles the
methods one() and two() (but not three()):
</P>%feature(
"director
") Foo;
<P> then at the python side you can define
</P>
class MyFoo(mymodule.Foo):
print
"one from python
"<H3><A name=
"Python_nn34"></A>26.5.2 Director classes
</H3>
<P> For each class that has directors enabled, SWIG generates a new
class that derives from both the class in question and a special
<TT>Swig::Director
</TT> class. These new classes, referred to as director
classes, can be loosely thought of as the C++ equivalent of the Python
proxy classes. The director classes store a pointer to their underlying
Python object and handle various issues related to object ownership.
Indeed, this is quite similar to the
"this
" and
"thisown
" members of
the Python proxy classes.
</P><P> For simplicity let's ignore the
<TT>Swig::Director
</TT> class and
refer to the original C++ class as the director's base class. By
default, a director class extends all virtual methods in the
inheritance chain of its base class (see the preceding section for how
to modify this behavior). Thus all virtual method calls, whether they
originate in C++ or in Python via proxy classes, eventually end up in
at the implementation in the director class. The job of the director
methods is to route these method calls to the appropriate place in the
inheritance chain. By
"appropriate place
" we mean the method that would
have been called if the C++ base class and its extensions in Python
were seamlessly integrated. That seamless integration is exactly what
the director classes provide, transparently skipping over all the messy
extension API glue that binds the two languages together.
</P><P> In reality, the
"appropriate place
" is one of only two
possibilities: C++ or Python. Once this decision is made, the rest is
fairly easy. If the correct implementation is in C++, then the lowest
implementation of the method in the C++ inheritance chain is called
explicitly. If the correct implementation is in Python, the Python API
is used to call the method of the underlying Python object (after which
the usual virtual method resolution in Python automatically finds the
right implementation).
</P><P> Now how does the director decide which language should handle the
method call? The basic rule is to handle the method in Python, unless
there's a good reason not to. The reason for this is simple: Python has
the most
"extended
" implementation of the method. This assertion is
guaranteed, since at a minimum the Python proxy class implements the
method. If the method in question has been extended by a class derived
from the proxy class, that extended implementation will execute exactly
as it should. If not, the proxy class will route the method call into a
C wrapper function, expecting that the method will be resolved in C++.
The wrapper will call the virtual method of the C++ instance, and since
the director extends this the call will end up right back in the
director method. Now comes the
"good reason not to
" part. If the
director method were to blindly call the Python method again, it would
get stuck in an infinite loop. We avoid this situation by adding
special code to the C wrapper function that tells the director method
to not do this. The C wrapper function compares the pointer to the
Python object that called the wrapper function to the pointer stored by
the director. If these are the same, then the C wrapper function tells
the director to resolve the method by calling up the C++ inheritance
chain, preventing an infinite loop.
</P><P> One more point needs to be made about the relationship between
director classes and proxy classes. When a proxy class instance is
created in Python, SWIG creates an instance of the original C++ class
and assigns it to
<TT>.this
</TT>. This is exactly what happens without
directors and is true even if directors are enabled for the particular
class in question. When a class
<I> derived
</I> from a proxy class is
created, however, SWIG then creates an instance of the corresponding
C++ director class. The reason for this difference is that user-defined
subclasses may override or extend methods of the original class, so the
director class is needed to route calls to these methods correctly. For
unmodified proxy classes, all methods are ultimately implemented in C++
so there is no need for the extra overhead involved with routing the
calls through Python.
</P><H3><A name=
"Python_nn35"></A>26.5.3 Ownership and object destruction
</H3>
<P> Memory management issues are slightly more complicated with
directors than for proxy classes alone. Python instances hold a pointer
to the associated C++ director object, and the director in turn holds a
pointer back to the Python object. By default, proxy classes own their
C++ director object and take care of deleting it when they are garbage
<P> This relationship can be reversed by calling the special
<TT>
__disown__()
</TT> method of the proxy class. After calling this method,
the
<TT>.thisown
</TT> flag is set to zero, and the director class
increments the reference count of the Python object. When the director
class is deleted it decrements the reference count. Assuming no
outstanding references to the Python object remain, the Python object
will be destroyed at the same time. This is a good thing, since
directors and proxies refer to each other and so must be created and
destroyed together. Destroying one without destroying the other will
likely cause your program to segfault.
</P><P> To help ensure that no references to the Python object remain after
calling
<TT>__disown__()
</TT>, this method returns a weak reference to
the Python object. Weak references are only available in Python
versions
2.1 and higher, so for older versions you must exclicitly
delete all references. Here is an example:
</P><BR><DIV class=
"targetlang">
>>> c = FooContainer()
>>> a = Foo().__disown()__
>>> b = b.__disown()__
>>> c.addFoo(Foo().__disown()__)
<P> In this example, we are assuming that FooContainer will take care of
deleting all the Foo pointers it contains at some point. Note that no
hard references to the Foo objects remain in Python.
</P><H3><A name=
"Python_nn36"></A>26.5.4 Exception unrolling
</H3>
<P> With directors routing method calls to Python, and proxies routing
them to C++, the handling of exceptions is an important concern. By
default, the directors ignore exceptions that occur during method calls
that are resolved in Python. To handle such exceptions correctly, it is
necessary to temporarily translate them into C++ exceptions. This can
be done with the %feature(
"director:except
") directive. The following
code should suffice in most cases:
</P>%feature(
"director:except
") {
throw Swig::DirectorMethodException();
<P> This code will check the Python error state after each method call
from a director into Python, and throw a C++ exception if an error
occured. This exception can be caught in C++ to implement an error
handler. Currently no information about the Python error is stored in
the Swig::DirectorMethodException object, but this will likely change
<P> It may be the case that a method call originates in Python, travels
up to C++ through a proxy class, and then back into Python via a
director method. If an exception occurs in Python at this point, it
would be nice for that exception to find its way back to the original
caller. This can be done by combining a normal %exception directive
with the
<TT>director:except
</TT> handler shown above. Here is an
example of a suitable exception handler:
</P> catch (Swig::DirectorException
&e) { SWIG_fail; }
<P> The class Swig::DirectorException used in this example is actually a
base class of Swig::DirectorMethodException, so it will trap this
exception. Because the Python error state is still set when
Swig::DirectorMethodException is thrown, Python will register the
exception as soon as the C wrapper function returns.
</P><H3><A name=
"Python_nn37"></A>26.5.5 Overhead and code bloat
</H3>
<P> Enabling directors for a class will generate a new director method
for every virtual method in the class' inheritance chain. This alone
can generate a lot of code bloat for large hierarchies. Method
arguments that require complex conversions to and from target language
types can result in large director methods. For this reason it is
recommended that you selectively enable directors only for specific
classes that are likely to be extended in Python and used in C++.
</P><P> Compared to classes that do not use directors, the call routing in
the director methods does add some overhead. In particular, at least
one dynamic cast and one extra function call occurs per method call
from Python. Relative to the speed of Python execution this is probably
completely negligible. For worst case routing, a method call that
ultimately resolves in C++ may take one extra detour through Python in
order to ensure that the method does not have an extended Python
implementation. This could result in a noticible overhead in some
<P> Although directors make it natural to mix native C++ objects with
Python objects (as director objects) via a common base class pointer,
one should be aware of the obvious fact that method calls to Python
objects will be much slower than calls to C++ objects. This situation
can be optimized by selectively enabling director methods (using the
%feature directive) for only those methods that are likely to be
<H3><A name=
"Python_nn38"></A>26.5.6 Typemaps
</H3>
<P> Typemaps for input and output of most of the basic types from
director classes have been written. These are roughly the reverse of
the usual input and output typemaps used by the wrapper code. The
typemap operation names are 'directorin', 'directorout', and
'directorargout'. The director code does not currently use any of the
other kinds of typemaps. It is not clear at this point which kinds are
appropriate and need to be supported.
</P><H3><A name=
"Python_nn39"></A>26.5.7 Miscellaneous
</H3>
<P> Director typemaps for STL classes are in place, and hence you should
be able to use std::vector, std::string, etc., as you would any other
<P><B> Note:
</B> The director typemaps for return types based in const
references, such as
<DIV class=
"code"> virtual const int
& bar();
<P> will work only for simple call scenarios. Usually the resulting code
is neither thread or reentrant safe. Hence, the user is advised to
avoid returning const references in director methods. For example, the
user could modify the method interface to use lvalue return types,
wherever possible, for example
</P><P> If that is not possible, the user should avoid enabling the director
feature for reentrant, recursive or threaded member methods that return
<H2><A name=
"Python_nn40"></A>26.6 Common customization features
</H2>
<P> The last section presented the absolute basics of C/C++ wrapping. If
you do nothing but feed SWIG a header file, you will get an interface
that mimics the behavior described. However, sometimes this isn't
enough to produce a nice module. Certain types of functionality might
be missing or the interface to certain functions might be awkward. This
section describes some common SWIG features that are used to improve
your the interface to an extension module.
</P><H3><A name=
"Python_nn41"></A>26.6.1 C/C++ helper functions
</H3>
<P> Sometimes when you create a module, it is missing certain bits of
functionality. For example, if you had a function like this
</P>void set_transform(Image *im, double m[
4][
4]);
<P> it would be accessible from Python, but there may be no easy way to
call it. For example, you might get errors like this:
</P>>>> set_transform(im,a)
Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
TypeError: Type error. Expected _p_a_4__double
<P> The problem here is that there is no easy way to construct and
manipulate a suitable
<TT>double [
4][
4]
</TT> value to use. To fix this,
you can write some extra C helper functions. Just use the
<TT>%inline
</TT> directive. For example:
</P>/* Note: double[
4][
4] is equivalent to a pointer to an array double (*)[
4] */
double (*new_mat44())[
4] {
return (double (*)[
4]) malloc(
16*sizeof(double));
void free_mat44(double (*x)[
4]) {
void mat44_set(double x[
4][
4], int i, int j, double v) {
double mat44_get(double x[
4][
4], int i, int j) {
<P> From Python, you could then write code like this:
</P>
>>> a = new_mat44()
>>> mat44_set(a,
0,
0,
1.0)
>>> mat44_set(a,
1,
1,
1.0)
>>> mat44_set(a,
2,
2,
1.0)
>>> set_transform(im,a)
<P> Admittedly, this is not the most elegant looking approach. However,
it works and it wasn't too hard to implement. It is possible to clean
this up using Python code, typemaps, and other customization features
as covered in later sections.
</P><H3><A name=
"Python_nn42"></A>26.6.2 Adding additional Python code
</H3>
<P> If writing support code in C isn't enough, it is also possible to
write code in Python. This code gets inserted in to the
<TT>.py
</TT> file created by SWIG. One use of Python code might be to supply a
high-level interface to certain functions. For example:
</P>void set_transform(Image *im, double x[
4][
4]);
/* Rewrite the high level interface to set_transform */
_example.set_transform(im,a)
<P> In this example,
<TT>set_transform()
</TT> provides a high-level
Python interface built on top of low-level helper functions. For
example, this code now seems to work:
</P>>>> set_transform(im,a)
<P> Admittedly, this whole scheme for wrapping the two-dimension array
argument is rather ad-hoc. Besides, shouldn't a Python list or a
Numeric Python array just work normally? We'll get to those examples
soon enough. For now, think of this example as an illustration of what
can be done without having to rely on any of the more advanced
customization features.
</P><H3><A name=
"Python_nn43"></A>26.6.3 Class extension with %extend
</H3>
<P> One of the more interesting features of SWIG is that it can extend
structures and classes with new methods--at least in the Python
interface. Here is a simple example:
</P>#include
"someheader.h
" sprintf(tmp,
"Vector(%g,%g,%g)
", self-
>x,self-
>y,self-
>z);
Vector(double x, double y, double z) {
Vector *v = (Vector *) malloc(sizeof(Vector));
>>> v = example.Vector(
2,
3,
4)
<P> <TT>%extend
</TT> can be used for many more tasks than this. For
example, if you wanted to overload a Python operator, you might do
Vector __add__(Vector *other) {
v.x = self-
>x + other-
>x;
v.y = self-
>y + other-
>y;
v.z = self-
>z + other-
>z;
<P> Use it like this:
</P>
>>> import example
>>> v = example.Vector(
2,
3,
4)
>>> w = example.Vector(
10,
11,
12)
<P> <TT>%extend
</TT> works with both C and C++ code. It does not modify
the underlying object in any way---the extensions only show up in the
<H3><A name=
"Python_nn44"></A>26.6.4 Exception handling with %exception
</H3>
<P> If a C or C++ function throws an error, you may want to convert that
error into a Python exception. To do this, you can use the
<TT>%exception
</TT> directive.
<TT>%exception
</TT> simply lets you rewrite
part of the generated wrapper code to include an error check.
</P><P> In C, a function often indicates an error by returning a status code
(a negative number or a NULL pointer perhaps). Here is a simple example
of how you might handle that:
</P> PyErr_SetString(PyExc_MemoryError,
"Not enough memory
");
void *malloc(size_t nbytes);
>>> a = example.malloc(
2000000000)
Traceback (most recent call last):
File
"<stdin
>", line
1, in ?
MemoryError: Not enough memory
<P> If a library provides some kind of general error handling framework,
you can also use that. For example:
</P> PyErr_SetString(PyExc_RuntimeError, err_message());
<P> No declaration name is given to
<TT>%exception
</TT>, it is applied
to all wrapper functions.
</P><P> C++ exceptions are also easy to handle. For example, you can write
} catch (std::out_of_range
&e) {
PyErr_SetString(PyExc_IndexError, const_cast
<char*
>(e.what()));
Foo *getitem(int index); // Exception handled added
<P> When raising a Python exception from C, use the
<TT>
PyErr_SetString()
</TT> function as shown above. The following exception
types can be used as the first argument.
</P>PyExc_NotImplementedError
<P> The language-independent
<TT>exception.i
</TT> library file can also
be used to raise exceptions. See the
<A href=
"#Library">SWIG Library
</A><H2><A name=
"Python_nn45"></A>26.7 Tips and techniques
</H2>
<P> Although SWIG is largely automatic, there are certain types of
wrapping problems that require additional user input. Examples include
dealing with output parameters, strings, binary data, and arrays. This
chapter discusses the common techniques for solving these problems.
</P><H3><A name=
"Python_nn46"></A>26.7.1 Input and output parameters
</H3>
<P> A common problem in some C programs is handling parameters passed as
simple pointers. For example:
</P>void add(int x, int y, int *result) {
int sub(int *x, int *y) {
<P> The easiest way to handle these situations is to use the
<TT>
typemaps.i
</TT> file. For example:
</P>%include
"typemaps.i
"void add(int, int, int *OUTPUT);
int sub(int *INPUT, int *INPUT);
<P> In Python, this allows you to pass simple values. For example:
</P>
>>> a = add(
3,
4)
>>> b = sub(
7,
4)
<P> Notice how the
<TT>INPUT
</TT> parameters allow integer values to be
passed instead of pointers and how the
<TT>OUTPUT
</TT> parameter
creates a return result.
</P><P> If you don't want to use the names
<TT>INPUT
</TT> or
<TT>OUTPUT
</TT>
, use the
<TT>%apply
</TT> directive. For example:
</P>%include
"typemaps.i
"%apply int *OUTPUT { int *result };
%apply int *INPUT { int *x, int *y};
void add(int x, int y, int *result);
<P> If a function mutates one of its parameters like this,
</P>
<P> you can use
<TT>INOUT
</TT> like this:
</P>
%include
"typemaps.i
"<P> In Python, a mutated parameter shows up as a return value. For
>>> a = negate(
3)
<P> Note: Since most primitive Python objects are immutable, it is not
possible to perform in-place modification of a Python object passed as
<P> The most common use of these special typemap rules is to handle
functions that return more than one value. For example, sometimes a
function returns a result as well as a special error code:
</P>/* send message, return number of bytes sent, along with success code */
int send_message(char *text, int len, int *success);
<P> To wrap such a function, simply use the
<TT>OUTPUT
</TT> rule above.
%include
"typemaps.i
"%apply int *OUTPUT { int *success };
int send_message(char *text, int *success);
<P> When used in Python, the function will return multiple values.
</P>
bytes, success = send_message(
"Hello World
")
print
"Sent
", bytes
<P> Another common use of multiple return values are in query functions.
void get_dimensions(Matrix *m, int *rows, int *columns);
<P> To wrap this, you might use the following:
</P>
%include
"typemaps.i
"%apply int *OUTPUT { int *rows, int *columns };
void get_dimensions(Matrix *m, int *rows, *columns);
>>> r,c = get_dimensions(m)
<P> Be aware that the primary purpose of the
<TT>typemaps.i
</TT> file is
to support primitive datatypes. Writing a function like this
</P><P> may not have the intended effect since
<TT>typemaps.i
</TT> does not
define an OUTPUT rule for
<TT>Bar
</TT>.
</P><H3><A name=
"Python_nn47"></A>26.7.2 Simple pointers
</H3>
<P> If you must work with simple pointers such as
<TT>int *
</TT> or
<TT>
double *
</TT> and you don't want to use
<TT>typemaps.i
</TT>, consider
using the
<TT>cpointer.i
</TT> library file. For example:
</P>%include
"cpointer.i
"extern void add(int x, int y, int *result);
%pointer_functions(int, intp);
<P> The
<TT>%pointer_functions(type,name)
</TT> macro generates five
helper functions that can be used to create, destroy, copy, assign, and
dereference a pointer. In this case, the functions are as follows:
</P>void delete_intp(int *x);
void intp_assign(int *x, int value);
<P> In Python, you would use the functions like this:
</P>
>>> result = new_intp()
>>> print result
>>> add(
3,
4,result)
>>> print intp_value(result)
<P> If you replace
<TT>%pointer_functions()
</TT> by
<TT>
%pointer_class(type,name)
</TT>, the interface is more class-like.
</P>>>> result = intp()
>>> add(
3,
4,result)
>>> print result.value()
<P> See the
<A href=
"#Library">SWIG Library
</A> chapter for further
<H3><A name=
"Python_nn48"></A>26.7.3 Unbounded C Arrays
</H3>
<P> Sometimes a C function expects an array to be passed as a pointer.
int sumitems(int *first, int nitems) {
for (i =
0; i
< nitems; i++) {
<P> To wrap this into Python, you need to pass an array pointer as the
first argument. A simple way to do this is to use the
<TT>carrays.i
</TT> library file. For example:
</P>%include
"carrays.i
"%array_class(int, intArray);
<P> The
<TT>%array_class(type, name)
</TT> macro creates wrappers for an
unbounded array object that can be passed around as a simple pointer
like
<TT>int *
</TT> or
<TT>double *
</TT>. For instance, you will be
able to do this in Python:
</P>>>> a = intArray(
10000000) # Array of
10-million integers
>>> for i in xrange(
10000): # Set some values
>>> sumitems(a,
10000)
<P> The array
"object
" created by
<TT>%array_class()
</TT> does not
encapsulate pointers inside a special array object. In fact, there is
no bounds checking or safety of any kind (just like in C). Because of
this, the arrays created by this library are extremely low-level
indeed. You can't iterate over them nor can you even query their
length. In fact, any valid memory address can be accessed if you want
(negative indices, indices beyond the end of the array, etc.). Needless
to say, this approach is not going to suit all applications. On the
other hand, this low-level approach is extremely efficient and well
suited for applications in which you need to create buffers, package
<H3><A name=
"Python_nn49"></A>26.7.4 String handling
</H3>
<P> If a C function has an argument of
<TT>char *
</TT>, then a Python
string can be passed as input. For example:
</P></DIV><DIV class=
"targetlang">
>>> foo(
"Hello
")
<P> When a Python string is passed as a parameter, the C function
receives a pointer to the raw data contained in the string. Since
Python strings are immutable, it is illegal for your program to change
the value. In fact, doing so will probably crash the Python
<P> If your program modifies the input parameter or uses it to return
data, consider using the
<TT>cstring.i
</TT> library file described in
the
<A href=
"#Library">SWIG Library
</A> chapter.
</P><P> When functions return a
<TT>char *
</TT>, it is assumed to be a
NULL-terminated string. Data is copied into a new Python string and
<P> If your program needs to work with binary data, you can use a
typemap to expand a Python string into a pointer/length argument pair.
As luck would have it, just such a typemap is already defined. Just do
%apply (char *STRING, int LENGTH) { (char *data, int size) };
int parity(char *data, int size, int initial);
>>> parity(
"e\x09ffss\x00\x00\x01\nx
",
0)
<P> If you need to return binary data, you might use the
<TT>cstring.i
</TT>
library file. The
<TT>cdata.i
</TT> library can also be used to extra
binary data from arbitrary pointers.
</P><H3><A name=
"Python_nn50"></A>26.7.5 Arrays
</H3>
<H3><A name=
"Python_nn51"></A>26.7.6 String arrays
</H3>
<H3><A name=
"Python_nn52"></A>26.7.7 STL wrappers
</H3>
<H2><A name=
"Python_nn53"></A>26.8 Typemaps
</H2>
<P> This section describes how you can modify SWIG's default wrapping
behavior for various C/C++ datatypes using the
<TT>%typemap
</TT> directive. This is an advanced topic that assumes familiarity with the
Python C API as well as the material in the
"<A href=
"#Typemaps">Typemaps
</A>" chapter.
</P><P> Before proceeding, it should be stressed that typemaps are not a
required part of using SWIG---the default wrapping behavior is enough
in most cases. Typemaps are only used if you want to change some aspect
of the primitive C-Python interface or if you want to elevate your guru
<H3><A name=
"Python_nn54"></A>26.8.1 What is a typemap?
</H3>
<P> A typemap is nothing more than a code generation rule that is
attached to a specific C datatype. For example, to convert integers
from Python to C, you might define a typemap like this:
</P> $
1 = (int) PyLong_AsLong($input);
printf(
"Received an integer : %d\n
",$
1);
<P> Typemaps are always associated with some specific aspect of code
generation. In this case, the
"in
" method refers to the conversion of
input arguments to C/C++. The datatype
<TT>int
</TT> is the datatype to
which the typemap will be applied. The supplied C code is used to
convert values. In this code a number of special variable prefaced by a
<TT>$
</TT> are used. The
<TT>$
1</TT> variable is placeholder for a
local variable of type
<TT>int
</TT>. The
<TT>$input
</TT> variable is
the input object of type
<TT>PyObject *
</TT>.
</P><P> When this example is compiled into a Python module, it operates as
>>> from example import *
<P> In this example, the typemap is applied to all occurrences of the
<TT>
int
</TT> datatype. You can refine this by supplying an optional
parameter name. For example:
</P>%typemap(in) int nonnegative {
$
1 = (int) PyLong_AsLong($input);
PyErr_SetString(PyExc_ValueError,
"Expected a nonnegative value.
");
extern int fact(int nonnegative);
<P> In this case, the typemap code is only attached to arguments that
exactly match
<TT>int nonnegative
</TT>.
</P><P> The application of a typemap to specific datatypes and argument
names involves more than simple text-matching--typemaps are fully
integrated into the SWIG C++ type-system. When you define a typemap for
<TT>int
</TT>, that typemap applies to
<TT>int
</TT> and qualified
variations such as
<TT>const int
</TT>. In addition, the typemap system
follows
<TT>typedef
</TT> declarations. For example:
</P> $
1 = (int) PyLong_AsLong($input);
printf(
"n = %d\n
",$
1);
extern int fact(Integer n); // Above typemap is applied
<P> Typemaps can also be defined for groups of consecutive arguments.
%typemap(in) (char *str, int len) {
$
1 = PyString_AsString($input);
$
2 = PyString_Size($input);
int count(char c, char *str, int len);
<P> When a multi-argument typemap is defined, the arguments are always
handled as a single Python object. This allows the function to be used
like this (notice how the length parameter is omitted):
</P>>>> example.count('e','Hello World')
<H3><A name=
"Python_nn55"></A>26.8.2 Python typemaps
</H3>
<P> The previous section illustrated an
"in
" typemap for converting
Python objects to C. A variety of different typemap methods are defined
by the Python module. For example, to convert a C integer back into a
Python object, you might define an
"out
" typemap like this:
</P> $result = PyInt_FromLong((long) $
1);
<P> A detailed list of available methods can be found in the
"<A href=
"#Typemaps">
Typemaps
</A>" chapter.
</P><P> However, the best source of typemap information (and examples) is
probably the Python module itself. In fact, all of SWIG's default type
handling is defined by typemaps. You can view these typemaps by looking
at the files in the SWIG library. Just take into account that in the
latest versions of swig (
1.3.22+), the library files are not very
pristine clear for the casual reader, as they used to be. The extensive
use of macros and other ugly techniques in the latest version produce a
very powerful and consistent python typemap library, but at the cost of
simplicity and pedagogic value.
</P><P> To learn how to write a simple or your first typemap, you better
take a look at the SWIG library version
1.3.20 or so.
</P><H3><A name=
"Python_nn56"></A>26.8.3 Typemap variables
</H3>
<P> Within typemap code, a number of special variables prefaced with a
<TT>
$
</TT> may appear. A full list of variables can be found in the
"<A href=
"#Typemaps">Typemaps
</A>" chapter. This is a list of the most common variables:
</P><DIV class=
"indent"> A C local variable corresponding to the actual type
specified in the
<TT>%typemap
</TT> directive. For input values, this is
a C local variable that's supposed to hold an argument value. For
output values, this is the raw result that's supposed to be returned to
<DIV class=
"indent"> A
<TT>PyObject *
</TT> holding a raw Python object
with an argument or variable value.
</DIV><DIV class=
"indent"> A
<TT>PyObject *
</TT> that holds the result to be
returned to Python.
</DIV><DIV class=
"indent"> The parameter name that was matched.
</DIV>
<DIV class=
"indent"> The actual C datatype matched by the typemap.
</DIV>
<P> <TT>$
1_ltype
</TT></P>
<DIV class=
"indent"> An assignable version of the datatype matched by
the typemap (a type that can appear on the left-hand-side of a C
assignment operation). This type is stripped of qualifiers and may be
an altered version of
<TT>$
1_type
</TT>. All arguments and local
variables in wrapper functions are declared using this type so that
their values can be properly assigned.
</DIV><P> <TT>$symname
</TT></P>
<DIV class=
"indent"> The Python name of the wrapper function being
<H3><A name=
"Python_nn57"></A>26.8.4 Useful Python Functions
</H3>
<P> When you write a typemap, you usually have to work directly with
Python objects. The following functions may prove to be useful.
</P><P><B> Python Integer Functions
</B></P>
PyObject *PyInt_FromLong(long l);
long PyInt_AsLong(PyObject *);
int PyInt_Check(PyObject *);
<P><B> Python Floating Point Functions
</B></P>
PyObject *PyFloat_FromDouble(double);
double PyFloat_AsDouble(PyObject *);
int PyFloat_Check(PyObject *);
<P><B> Python String Functions
</B></P>
PyObject *PyString_FromString(char *);
PyObject *PyString_FromStringAndSize(char *, lint len);
int PyString_Size(PyObject *);
char *PyString_AsString(PyObject *);
int PyString_Check(PyObject *);
<P><B> Python List Functions
</B></P>
PyObject *PyList_New(int size);
int PyList_Size(PyObject *list);
PyObject *PyList_GetItem(PyObject *list, int i);
int PyList_SetItem(PyObject *list, int i, PyObject *item);
int PyList_Insert(PyObject *list, int i, PyObject *item);
int PyList_Append(PyObject *list, PyObject *item);
PyObject *PyList_GetSlice(PyObject *list, int i, int j);
int PyList_SetSlice(PyObject *list, int i, int , PyObject *list2);
int PyList_Sort(PyObject *list);
int PyList_Reverse(PyObject *list);
PyObject *PyList_AsTuple(PyObject *list);
int PyList_Check(PyObject *);
<P><B> Python Tuple Functions
</B></P>
PyObject *PyTuple_New(int size);
int PyTuple_Size(PyObject *);
PyObject *PyTuple_GetItem(PyObject *, int i);
int PyTuple_SetItem(PyObject *, int i, pyObject *item);
PyObject *PyTuple_GetSlice(PyObject *t, int i, int j);
int PyTuple_Check(PyObject *);
<P><B> Python Dictionary Functions
</B></P>
<P><B> Python File Conversion Functions
</B></P>
PyObject *PyFile_FromFile(FILE *f);
FILE *PyFile_AsFile(PyObject *);
int PyFile_Check(PyObject *);
<P><B> Abstract Object Interface
</B></P>
<H2><A name=
"Python_nn58"></A>26.9 Typemap Examples
</H2>
<P> This section includes a few examples of typemaps. For more examples,
you might look at the files
"<TT>python.swg
</TT>" and
"<TT>typemaps.i
</TT>" in the SWIG library.
</P>
<H3><A name=
"Python_nn59"></A>26.9.1 Converting Python list to a char **
</H3>
<P> A common problem in many C programs is the processing of command
line arguments, which are usually passed in an array of NULL terminated
strings. The following SWIG interface file allows a Python list object
to be used as a
<TT>char **
</TT> object.
</P>// This tells SWIG to treat char ** as a special case
if (PyList_Check($input)) {
int size = PyList_Size($input);
$
1 = (char **) malloc((size+
1)*sizeof(char *));
for (i =
0; i
< size; i++) {
PyObject *o = PyList_GetItem($input,i);
$
1[i] = PyString_AsString(PyList_GetItem($input,i));
PyErr_SetString(PyExc_TypeError,
"list must contain strings
");
PyErr_SetString(PyExc_TypeError,
"not a list
");
// This cleans up the char ** array we malloc'd before the function call
%typemap(freearg) char ** {
int print_args(char **argv) {
printf(
"argv[%d] = %s\n
", i,argv[i]);
<P> When this module is compiled, the wrapped C function now operates as
>>> from argv import *
>>> print_args([
"Dave
",
"Mike
",
"Mary
",
"Jane
",
"John
"])
<P> In the example, two different typemaps are used. The
"in
" typemap is
used to receive an input argument and convert it to a C array. Since
dynamic memory allocation is used to allocate memory for the array, the
"freearg
" typemap is used to later release this memory after the
execution of the C function.
</P><H3><A name=
"Python_nn60"></A>26.9.2 Expanding a Python object into
<P> Suppose that you had a collection of C functions with arguments such
int foo(int argc, char **argv);
<P> In the previous example, a typemap was written to pass a Python list
as the
<TT>char **argv
</TT>. This allows the function to be used from
>>> foo(
4, [
"foo
",
"bar
",
"spam
",
"1"])
<P> Although this works, it's a little awkward to specify the argument
count. To fix this, a multi-argument typemap can be defined. This is
not very difficult--you only have to make slight modifications to the
%typemap(in) (int argc, char **argv) {
if (PyList_Check($input)) {
$
1 = PyList_Size($input);
$
2 = (char **) malloc(($
1+
1)*sizeof(char *));
for (i =
0; i
< $
1; i++) {
PyObject *o = PyList_GetItem($input,i);
$
2[i] = PyString_AsString(PyList_GetItem($input,i));
PyErr_SetString(PyExc_TypeError,
"list must contain strings
");
PyErr_SetString(PyExc_TypeError,
"not a list
");
%typemap(freearg) (int argc, char **argv) {
<P> When writing a multiple-argument typemap, each of the types is
referenced by a variable such as
<TT>$
1</TT> or
<TT>$
2</TT>. The
typemap code simply fills in the appropriate values from the supplied
<P> With the above typemap in place, you will find it no longer
necessary to supply the argument count. This is automatically set by
the typemap code. For example:
</P>>>> foo([
"foo
",
"bar
",
"spam
",
"1"])
<H3><A name=
"Python_nn61"></A>26.9.3 Using typemaps to return arguments
</H3>
<P> A common problem in some C programs is that values may be returned
in arguments rather than in the return value of a function. For
/* Returns a status value and two values in out1 and out2 */
int spam(double a, double b, double *out1, double *out2) {
... Do a bunch of stuff ...
<P> A typemap can be used to handle this case as follows :
</P>
// This tells SWIG to treat an double * argument with name 'OutValue' as
// an output value. We'll append the value to the current result which
// is guaranteed to be a List object by SWIG.
%typemap(argout) double *OutValue {
o = PyFloat_FromDouble(*$
1);
if ((!$result) || ($result == Py_None)) {
if (!PyTuple_Check($result)) {
$result = PyTuple_New(
1);
PyTuple_SetItem(target,
0,o2);
$result = PySequence_Concat(o2,o3);
int spam(double a, double b, double *OutValue, double *OutValue);
<P> The typemap works as follows. First, a check is made to see if any
previous result exists. If so, it is turned into a tuple and the new
output value is concatenated to it. Otherwise, the result is returned
normally. For the sample function
<TT>spam()
</TT>, there are three
output values--meaning that the function will return a
3-tuple of the
<P> As written, the function must accept
4 arguments as input values,
last two being pointers to doubles. If these arguments are only used to
hold output values (and have no meaningful input value), an additional
typemap can be written. For example:
</P>%typemap(in,numinputs=
0) double *OutValue(double temp) {
<P> By specifying numinputs=
0, the input value is ignored. However,
since the argument still has to be set to some meaningful value before
calling C, it is set to point to a local variable
<TT>temp
</TT>. When
the function stores its output value, it will simply be placed in this
local variable. As a result, the function can now be used as follows:
</P>>>> a = spam(
4,
5)
>>> x,y,z = spam(
4,
5)
<H3><A name=
"Python_nn62"></A>26.9.4 Mapping Python tuples into small
<P> In some applications, it is sometimes desirable to pass small arrays
of numbers as arguments. For example :
</P>extern void set_direction(double a[
4]); // Set direction vector
<P> This too, can be handled used typemaps as follows :
</P>
// Grab a
4 element array as a Python
4-tuple
%typemap(in) double[
4](double temp[
4]) { // temp[
4] becomes a local variable
if (PyTuple_Check($input)) {
if (!PyArg_ParseTuple($input,
"dddd
",temp,temp+
1,temp+
2,temp+
3)) {
PyErr_SetString(PyExc_TypeError,
"tuple must have
4 elements
");
PyErr_SetString(PyExc_TypeError,
"expected a tuple.
");
<P> This allows our
<TT>set_direction
</TT> function to be called from
>>> set_direction((
0.5,
0.0,
1.0,-
0.25))
<P> Since our mapping copies the contents of a Python tuple into a C
array, such an approach would not be recommended for huge arrays, but
for small structures, this approach works fine.
</P><H3><A name=
"Python_nn63"></A>26.9.5 Mapping sequences to C arrays
</H3>
<P> Suppose that you wanted to generalize the previous example to handle
C arrays of different sizes. To do this, you might write a typemap as
// Map a Python sequence into any sized C double array
%typemap(in) double[ANY](double temp[$
1_dim0]) {
if (!PySequence_Check($input)) {
PyErr_SetString(PyExc_TypeError,
"Expecting a sequence
");
if (PyObject_Length($input) != $
1_dim0) {
PyErr_SetString(PyExc_ValueError,
"Expecting a sequence with $
1_dim0 elements
");
for (i =
0; i
< $
1_dim0; i++) {
PyObject *o = PySequence_GetItem($input,i);
PyErr_SetString(PyExc_ValueError,
"Expecting a sequence of floats
");
temp[i] = PyFloat_AsDouble(o);
<P> In this case, the variable
<TT>$
1_dim0
</TT> is expanded to match the
array dimensions actually used in the C code. This allows the typemap
to be applied to types such as:
</P>void bar(double a[
4], double b[
8]);
<P> Since the above typemap code gets inserted into every wrapper
function where used, it might make sense to use a helper function
instead. This will greatly reduce the amount of wrapper code. For
static int convert_darray(PyObject *input, double *ptr, int size) {
if (!PySequence_Check(input)) {
PyErr_SetString(PyExc_TypeError,
"Expecting a sequence
");
if (PyObject_Length(input) != size) {
PyErr_SetString(PyExc_ValueError,
"Sequence size mismatch
");
for (i =
0; i
< size; i++) {
PyObject *o = PySequence_GetItem(input,i);
PyErr_SetString(PyExc_ValueError,
"Expecting a sequence of floats
");
ptr[i] = PyFloat_AsDouble(o);
%typemap(in) double [ANY](double temp[$
1_dim0]) {
if (!convert_darray($input,temp,$
1_dim0))) {
<H3><A name=
"Python_nn64"></A>26.9.6 Pointer handling
</H3>
<P> Occasionally, it might be necessary to convert pointer values that
have been stored using the SWIG typed-pointer representation. Since
there are several ways in which pointers can be represented, the
following two functions are used to safely perform this conversion:
</P><P> <TT>int SWIG_ConvertPtr(PyObject *obj, void **ptr, swig_type_info
<DIV class=
"indent"> Converts a Python object
<TT>obj
</TT> to a C
pointer. The result of the conversion is placed into the pointer
located at
<TT>ptr
</TT>.
<TT>ty
</TT> is a SWIG type descriptor
structure.
<TT>flags
</TT> is used to handle error checking and other
aspects of conversion. It is the bitwise-or of several flag values
including
<TT>SWIG_POINTER_EXCEPTION
</TT> and
<TT>SWIG_POINTER_DISOWN
</TT>. The first flag makes the function raise an exception on type error.
The second flag additionally steals ownership of an object. Returns
0 on success and -
1 on error.
</DIV><P> <TT>PyObject *Swig_NewPointerObj(void *ptr, swig_type_info *ty, int
<DIV class=
"indent"> Creates a new Python pointer object.
<TT>ptr
</TT>
is the pointer to convert,
<TT>ty
</TT> is the SWIG type descriptor
structure that describes the type, and
<TT>own
</TT> is a flag that
indicates whether or not Python should take ownership of the pointer.
</DIV><P> Both of these functions require the use of a special SWIG
type-descriptor structure. This structure contains information about
the mangled name of the datatype, type-equivalence information, as well
as information about converting pointer values under C++ inheritance.
For a type of
<TT>Foo *
</TT>, the type descriptor structure is usually
if (SWIG_ConvertPtr($input, (void **)
&f, SWIGTYPE_p_Foo, SWIG_POINTER_EXCEPTION) == -
1)
obj = SWIG_NewPointerObj(f, SWIGTYPE_p_Foo,
0);
<P> In a typemap, the type descriptor should always be accessed using
the special typemap variable
<TT>$
1_descriptor
</TT>. For example:
</P>if ((SWIG_ConvertPtr($input,(void **)
&$
1, $
1_descriptor,SWIG_POINTER_EXCEPTION)) == -
1)
<P> If necessary, the descriptor for any type can be obtained using the
<TT>
$descriptor()
</TT> macro in a typemap. For example:
</P>if ((SWIG_ConvertPtr($input,(void **)
&$
1, $descriptor(Foo *),
SWIG_POINTER_EXCEPTION)) == -
1)
<P> Although the pointer handling functions are primarily intended for
manipulating low-level pointers, both functions are fully aware of
Python proxy classes. Specifically,
<TT>SWIG_ConvertPtr()
</TT> will
retrieve a pointer from any object that has a
<TT>this
</TT> attribute.
In addition,
<TT>SWIG_NewPointerObj()
</TT> can automatically generate a
proxy class object (if applicable).
</P><H2><A name=
"Python_nn65"></A>26.10 Docstring Features
</H2>
<P> Usign docstrings in Python code is becoming more and more important
ans more tools are coming on the scene that take advantage of them,
everything from full-blown documentaiton generators to class browsers
and popup call-tips in Python-aware IDEs. Given the way that SWIG
generates the proxy code by default, your users will normally get
something like
<TT>"function_name(*args)
"</TT> in the popup calltip of
their IDE which is next to useless when the real function prototype
might be something like this:
</P>bool function_name(int x, int y, Foo* foo=NULL, Bar* bar=NULL);
<P> The features described in this section make it easy for you to add
docstrings to your modules, functions and methods that can then be used
by the various tools out there to make the programming experience of
your users much simpler.
</P><H3><A name=
"Python_nn66"></A>26.10.1 Module docstring
</H3>
<P> Python allows a docstring at the begining of the
<TT>.py
</TT> file
before any other statements, and it is typically used to give a general
description of the entire module. SWIG supports this by setting an
option of the
<TT>%module
</TT> directive. For example:
</P>%module(docstring=
"This is the example module's docstring
") example
<P> When you have more than just a line or so then you can retain the
easy readability of the
<TT>%module
</TT> directive by using a macro.
"The `XmlResource` class allows program resources defining menus,
layout of controls on a panel, etc. to be loaded from an XML file.
"%module(docstring=DOCSTRING) xrc
<H3><A name=
"Python_nn67"></A>26.10.2 %feature(
"autodoc
")
</H3>
<P> As alluded to above SWIG will generate all the function and method
proxy wrappers with just
"*args
" (or
"*args, **kwargs
" if the -keyword
option is used) for a parameter list and will then sort out the
individual parameters in the C wrapper code. This is nice and simple
for the wrapper code, but makes it difficult to be programmer and tool
friendly as anyone looking at the
<TT>.py
</TT> file will not be able to
find out anything about the parameters that the fuctions accept.
</P><P>But since SWIG does know everything about the fucntion it is possible
to generate a docstring containing the parameter types, names and
default values. Since many of the doctring tools are adopting a
standard of recognizing if the first thing in the docstring is a
function prototype then using that instead of what they found from
introspeciton, then life is good once more.
</P><P>SWIG's Python module provides support for the
"autodoc
" feature,
which when attached to a node in the parse tree will cause a docstring
to be generated that includes the name of the funciton, parameter
names, default values if any, and return type if any. There are also
three options for autodoc controlled by the value given to the feature,
<H4><A name=
"Python_nn68"></A>26.10.2.1 %feature(
"autodoc
",
"0")
</H4>
<P> When the
"0" option is given then the types of the parameters will
<EM>
not
</EM> be included in the autodoc string. For example, given this
%feature(
"autodoc
",
"0");
bool function_name(int x, int y, Foo* foo=NULL, Bar* bar=NULL);
<P> Then Python code like this will be generated:
</P>
def function_name(*args, **kwargs):
"""function_name(x, y, foo=None, bar=None) -
> bool
"""
<H4><A name=
"Python_nn69"></A>26.10.2.2 %feature(
"autodoc
",
"1")
</H4>
<P> When the
"1" option is used then the parameter types
<EM> will
</EM>
be used in the autodoc string. In addition, an atempt is made to
simplify the type name such that it makes more sense to the Python
user. Pointer, reference and const info is removed,
<TT>%rename
</TT>'s
are evaluated, etc. (This is not always successful, but works most of
the time. See the next section for what to do when it doesn't.) Given
the example above, then turning on the parameter types with the
"1" option will result in Python code like this:
</P>def function_name(*args, **kwargs):
"""function_name(int x, int y, Foo foo=None, Bar bar=None) -
> bool
"""
<H4><A name=
"Python_nn70"></A>26.10.2.3 %feature(
"autodoc
",
"docstring
")
</H4>
<P> Finally, there are times when the automatically generated autodoc
string will make no sense for a Python programmer, particularly when a
typemap is involved. So if you give an explicit value for the autodoc
feature then that string will be used in place of the automatically
generated string. For example:
</P>%feature(
"autodoc
",
"GetPosition() -
> (x, y)
") GetPosition;
void GetPosition(int* OUTPUT, int* OUTPUT);
<H3><A name=
"Python_nn71"></A>26.10.3 %feature(
"docstring
")
</H3>
<P> In addition to the autodoc strings described above, you can also
attach any arbitrary descriptive text to a node in the parse tree with
the
"docstring
" feature. When the proxy module is generated then any
docstring associated with classes, function or methods are output. If
an item already has an autodoc string then it is combined with the
docstring and they are output together. If the docstring is all on a
single line then it is output like this::
</P>"""This is the docstring
"""
<P> Otherwise, to aid readability it is output like this:
</P>
This is a multi-line docstring
<H2><A name=
"Python_nn72"></A>26.11 Python Packages
</H2>
<P> Using the
<TT>package
</TT> option of the
<TT>%module
</TT> directive
allows you to specify what Python package that the module will be
living in when installed.
</P>%module(package=
"wx
") xrc
<P> This is useful when the
<TT>.i
</TT> file is
<TT>%import
</TT>ed by
another
<TT>.i
</TT> file. By default SWIG will assume that the importer
is able to find the importee with just the module name, but if they
live in separate Python packages then that won't work. However if the
importee specifies what its package is with the
<TT>%module
</TT> option
then the Python code generated for the importer will use that package
name when importing the other module and also in base class
declarations, etc. if the pacakge name is different than its own.
</P><!-- LocalWords: polymorphism Typemaps STL typemap typemaps Docstring autodoc
<!-- LocalWords: docstring SWIG's cxx py GCC linux DLL gcc fPIC Wiki Xlinker
<!-- LocalWords: examplemodule DHAVE CONFIG lpython lm ldl mypython lsocket
<!-- LocalWords: lnsl lpthread distutils enums namespaces
<H1><A name=
"Ruby"></A>27 SWIG and Ruby
</H1>
<LI><A href=
"#Ruby_nn2">Preliminaries
</A>
<LI><A href=
"#Ruby_nn3">Running SWIG
</A></LI>
<LI><A href=
"#Ruby_nn4">Getting the right header files
</A></LI>
<LI><A href=
"#Ruby_nn5">Compiling a dynamic module
</A></LI>
<LI><A href=
"#Ruby_nn6">Using your module
</A></LI>
<LI><A href=
"#Ruby_nn7">Static linking
</A></LI>
<LI><A href=
"#Ruby_nn8">Compilation of C++ extensions
</A></LI>
<LI><A href=
"#Ruby_nn9">Building Ruby Extensions under Windows
95/NT
</A>
<LI><A href=
"#Ruby_nn10">Running SWIG from Developer Studio
</A></LI>
<LI><A href=
"#Ruby_nn11">The Ruby-to-C/C++ Mapping
</A>
<LI><A href=
"#Ruby_nn12">Modules
</A></LI>
<LI><A href=
"#Ruby_nn13">Functions
</A></LI>
<LI><A href=
"#Ruby_nn14">Variable Linking
</A></LI>
<LI><A href=
"#Ruby_nn15">Constants
</A></LI>
<LI><A href=
"#Ruby_nn16">Pointers
</A></LI>
<LI><A href=
"#Ruby_nn17">Structures
</A></LI>
<LI><A href=
"#Ruby_nn18">C++ classes
</A></LI>
<LI><A href=
"#Ruby_nn19">C++ Inheritance
</A></LI>
<LI><A href=
"#Ruby_nn20">C++ Overloaded Functions
</A></LI>
<LI><A href=
"#Ruby_nn21">C++ Operators
</A></LI>
<LI><A href=
"#Ruby_nn22">C++ namespaces
</A></LI>
<LI><A href=
"#Ruby_nn23">C++ templates
</A></LI>
<LI><A href=
"#ruby_cpp_smart_pointers">C++ Smart Pointers
</A></LI>
<LI><A href=
"#Ruby_nn25">Cross-Language Polymorphism
</A>
<LI><A href=
"#Ruby_nn26">Exception Unrolling
</A></LI>
<LI><A href=
"#Ruby_nn27">Input and output parameters
</A></LI>
<LI><A href=
"#Ruby_nn29">Typemaps
</A>
<LI><A href=
"#Ruby_nn30">What is a typemap?
</A></LI>
<LI><A href=
"#Ruby_nn31">Ruby typemaps
</A></LI>
<LI><A href=
"#Ruby_nn32">Typemap variables
</A></LI>
<LI><A href=
"#Ruby_nn33">Useful Functions
</A>
<LI><A href=
"#Ruby_nn34">C Datatypes to Ruby Objects
</A></LI>
<LI><A href=
"#Ruby_nn35">Ruby Objects to C Datatypes
</A></LI>
<LI><A href=
"#Ruby_nn36">Macros for VALUE
</A></LI>
<LI><A href=
"#Ruby_nn37">Exceptions
</A></LI>
<LI><A href=
"#Ruby_nn38">Iterators
</A></LI>
<LI><A href=
"#ruby_typemap_examples">Typemap Examples
</A></LI>
<LI><A href=
"#Ruby_nn40">Converting a Ruby array to a char **
</A></LI>
<LI><A href=
"#Ruby_nn41">Collecting arguments in a hash
</A></LI>
<LI><A href=
"#Ruby_nn42">Pointer handling
</A>
<LI><A href=
"#Ruby_nn43">Ruby Datatype Wrapping
</A></LI>
<LI><A href=
"#ruby_operator_overloading">Operator overloading
</A>
<LI><A href=
"#Ruby_nn45">Example: STL Vector to Ruby Array
</A></LI>
<LI><A href=
"#Ruby_nn46">Advanced Topics
</A>
<LI><A href=
"#Ruby_nn47">Creating Multi-Module Packages
</A></LI>
<LI><A href=
"#Ruby_nn48">Defining Aliases
</A></LI>
<LI><A href=
"#Ruby_nn49">Predicate Methods
</A></LI>
<LI><A href=
"#Ruby_nn50">Specifying Mixin Modules
</A></LI>
<LI><A href=
"#Ruby_nn51">Memory Management
</A>
<LI><A href=
"#Ruby_nn53">Object Ownership
</A></LI>
<LI><A href=
"#Ruby_nn54">Object Tracking
</A></LI>
<LI><A href=
"#Ruby_nn55">Mark Functions
</A></LI>
<LI><A href=
"#Ruby_nn56">Free Functions
</A></LI>
<LI> <A href=
"#Ruby_nn2">Preliminaries
</A>
<LI> <A href=
"#Ruby_nn3">Running SWIG
</A></LI>
<LI> <A href=
"#Ruby_nn4">Getting the right header files
</A></LI>
<LI> <A href=
"#Ruby_nn5">Compiling a dynamic module
</A></LI>
<LI> <A href=
"#Ruby_nn6">Using your module
</A></LI>
<LI> <A href=
"#Ruby_nn7">Static linking
</A></LI>
<LI> <A href=
"#Ruby_nn8">Compilation of C++ extensions
</A></LI>
<LI> <A href=
"#Ruby_nn9">Building Ruby Extensions under Windows
95/NT
</A>
<LI> <A href=
"#Ruby_nn10">Running SWIG from Developer Studio
</A></LI>
<LI> <A href=
"#Ruby_nn11">The Ruby-to-C/C++ Mapping
</A>
<LI> <A href=
"#Ruby_nn12">Modules
</A></LI>
<LI> <A href=
"#Ruby_nn13">Functions
</A></LI>
<LI> <A href=
"#Ruby_nn14">Variable Linking
</A></LI>
<LI> <A href=
"#Ruby_nn15">Constants
</A></LI>
<LI> <A href=
"#Ruby_nn16">Pointers
</A></LI>
<LI> <A href=
"#Ruby_nn17">Structures
</A></LI>
<LI> <A href=
"#Ruby_nn18">C++ classes
</A></LI>
<LI> <A href=
"#Ruby_nn19">C++ Inheritance
</A></LI>
<LI> <A href=
"#Ruby_nn20">C++ Overloaded Functions
</A></LI>
<LI> <A href=
"#Ruby_nn21">C++ Operators
</A></LI>
<LI> <A href=
"#Ruby_nn22">C++ namespaces
</A></LI>
<LI> <A href=
"#Ruby_nn23">C++ templates
</A></LI>
<LI> <A href=
"#ruby_cpp_smart_pointers">C++ Smart Pointers
</A></LI>
<LI> <A href=
"#Ruby_nn25">Cross-Language Polymorphism
</A>
<LI> <A href=
"#Ruby_nn26">Exception Unrolling
</A></LI>
<LI> <A href=
"#Ruby_nn27">Input and output parameters
</A></LI>
<LI> <A href=
"#Ruby_nn28">Simple exception handling
</A></LI>
<LI> <A href=
"#Ruby_nn29">Typemaps
</A>
<LI> <A href=
"#Ruby_nn30">What is a typemap?
</A></LI>
<LI> <A href=
"#Ruby_nn31">Ruby typemaps
</A></LI>
<LI> <A href=
"#Ruby_nn32">Typemap variables
</A></LI>
<LI> <A href=
"#Ruby_nn33">Useful Functions
</A>
<LI> <A href=
"#Ruby_nn34">C Datatypes to Ruby Objects
</A></LI>
<LI> <A href=
"#Ruby_nn35">Ruby Objects to C Datatypes
</A></LI>
<LI> <A href=
"#Ruby_nn36">Macros for VALUE
</A></LI>
<LI> <A href=
"#Ruby_nn37">Exceptions
</A></LI>
<LI> <A href=
"#Ruby_nn38">Iterators
</A></LI>
<LI> <A href=
"#ruby_typemap_examples">Typemap Examples
</A></LI>
<LI> <A href=
"#Ruby_nn40">Converting a Ruby array to a char **
</A></LI>
<LI> <A href=
"#Ruby_nn41">Collecting arguments in a hash
</A></LI>
<LI> <A href=
"#Ruby_nn42">Pointer handling
</A>
<LI> <A href=
"#Ruby_nn43">Ruby Datatype Wrapping
</A></LI>
<LI> <A href=
"#ruby_operator_overloading">Operator overloading
</A>
<LI> <A href=
"#Ruby_nn45">Example: STL Vector to Ruby Array
</A></LI>
<LI> <A href=
"#Ruby_nn46">Advanced Topics
</A>
<LI> <A href=
"#Ruby_nn47">Creating Multi-Module Packages
</A></LI>
<LI> <A href=
"#Ruby_nn48">Defining Aliases
</A></LI>
<LI> <A href=
"#Ruby_nn49">Predicate Methods
</A></LI>
<LI> <A href=
"#Ruby_nn50">Specifying Mixin Modules
</A></LI>
<LI> <A href=
"#Ruby_nn51">Memory Management
</A>
<LI> <A href=
"#Ruby_nn52">Mark and Sweep Garbage Collector
</A></LI>
<LI> <A href=
"#Ruby_nn53">Object Ownership
</A></LI>
<LI> <A href=
"#Ruby_nn54">Object Tracking
</A></LI>
<LI> <A href=
"#Ruby_nn55">Mark Functions
</A></LI>
<LI> <A href=
"#Ruby_nn56">Free Functions
</A></LI>
<P>This chapter describes SWIG's support of Ruby.
</P>
<H2><A name=
"Ruby_nn2"></A>27.1 Preliminaries
</H2>
<P> SWIG
1.3 is known to work with Ruby versions
1.6 and later. Given
the choice, you should use the latest stable version of Ruby. You
should also determine if your system supports shared libraries and
dynamic loading. SWIG will work with or without dynamic loading, but
the compilation process will vary.
</P><P>This chapter covers most SWIG features, but in less depth than is
found in earlier chapters. At the very least, make sure you also read
the
"<A href=
"#SWIG">SWIG Basics
</A>" chapter. It is also assumed that
the reader has a basic understanding of Ruby.
</P><H3><A name=
"Ruby_nn3"></A>27.1.1 Running SWIG
</H3>
<P> To build a Ruby module, run SWIG using the
<TT>-ruby
</TT> option:
</P>
<PRE>$
<B>swig -ruby example.i
</B>
<P> If building a C++ extension, add the
<TT>-c++
</TT> option:
</P>
<PRE>$
<B>swig -c++ -ruby example.i
</B>
<P> This creates a file
<TT>example_wrap.c
</TT> (
<TT>example_wrap.cxx
</TT>
if compiling a C++ extension) that contains all of the code needed to
build a Ruby extension module. To finish building the module, you need
to compile this file and link it with the rest of your program.
</P><H3><A name=
"Ruby_nn4"></A>27.1.2 Getting the right header files
</H3>
<P> In order to compile the wrapper code, the compiler needs the
<TT>
ruby.h
</TT> header file. This file is usually contained in a directory
<PRE>/usr/local/lib/ruby/
1.6/i686-linux/ruby.h
<P> The exact location may vary on your machine, but the above location
is typical. If you are not entirely sure where Ruby is installed, you
can run Ruby to find out. For example:
</P>$
<B>ruby -e 'puts $:.join(
"\n
")'
</B><BR>/usr/local/lib/ruby/site_ruby/
1.6 /usr/local/lib/ruby/site_ruby/
1.6/i686-linux
/usr/local/lib/ruby/site_ruby /usr/local/lib/ruby/
1.6 /usr/local/lib/ruby/
1.6/i686-linux .
<H3><A name=
"Ruby_nn5"></A>27.1.3 Compiling a dynamic module
</H3>
<P> Ruby extension modules are typically compiled into shared libraries
that the interpreter loads dynamically at runtime. Since the exact
commands for doing this vary from platform to platform, your best bet
is to follow the steps described in the
<TT>README.EXT
</TT> file from
the Ruby distribution:
</P><P>Create a file called
<TT>extconf.rb
</TT> that looks like the
<BR>create_makefile('example')
<P>Type the following to build the extension:
</P>
<PRE>$
<B>ruby extconf.rb
</B>
<BR>$
<B>make install
</B>
<P> Of course, there is the problem that mkmf does not work correctly on
all platforms, e.g, HPUX. If you need to add your own make rules to the
file that
<TT>extconf.rb
</TT> produces, you can add this:
</P><PRE>open(
"Makefile
",
"a
") { |mf|
<BR> # Your make rules go here
<P> to the end of the
<TT>extconf.rb
</TT> file. If for some reason you
don't want to use the standard approach, you'll need to determine the
correct compiler and linker flags for your build platform. For example,
a typical sequence of commands for the Linux operating system would
look something like this:
</P><PRE>$
<B>swig -ruby example.i
</B>
<BR>$
<B>gcc -c example.c
</B>
<BR>$
<B>gcc -c example_wrap.c -I/usr/local/lib/ruby/
1.6/i686-linux
</B>
<BR>$
<B>gcc -shared example.o example_wrap.o -o example.so
</B>
<P> For other platforms it may be necessary to compile with the
<TT>
-fPIC
</TT> option to generate position-independent code. If in doubt,
consult the manual pages for your compiler and linker to determine the
correct set of options. You might also check the
<A href=
"http://swig.cs.uchicago.edu/cgi-bin/wiki.pl">SWIG Wiki
</A> for additional information.
</P><P> <A name=
"n6"></A></P>
<H3><A name=
"Ruby_nn6"></A>27.1.4 Using your module
</H3>
<P> Ruby
<I> module
</I> names must be capitalized, but the convention for
Ruby
<I> feature
</I> names is to use lowercase names. So, for example,
the
<B> Etc
</B> extension module is imported by requiring the
<B> etc
</B><PRE># The feature name begins with a lowercase letter...
<BR># ... but the module name begins with an uppercase letter
<BR>puts
"Your login name: #{Etc.getlogin}
"
<P> To stay consistent with this practice, you should always specify a
<B>
lowercase
</B> module name with SWIG's
<TT>%module
</TT> directive. SWIG
will automatically correct the resulting Ruby module name for your
extension. So for example, a SWIG interface file that begins with:
</P><P> will result in an extension module using the feature name
"example
"
and Ruby module name
"Example
".
</P><H3><A name=
"Ruby_nn7"></A>27.1.5 Static linking
</H3>
<P> An alternative approach to dynamic linking is to rebuild the Ruby
interpreter with your extension module added to it. In the past, this
approach was sometimes necessary due to limitations in dynamic loading
support on certain machines. However, the situation has improved
greatly over the last few years and you should not consider this
approach unless there is really no other option.
</P><P>The usual procedure for adding a new module to Ruby involves finding
the Ruby source, adding an entry to the
<TT>ext/Setup
</TT> file, adding
your directory to the list of extensions in the file, and finally
<H3><A name=
"Ruby_nn8"></A>27.1.6 Compilation of C++ extensions
</H3>
<P> On most machines, C++ extension modules should be linked using the
C++ compiler. For example:
</P><PRE>$
<B>swig -c++ -ruby example.i
</B>
<BR>$
<B>g++ -c example.cxx
</B>
<BR>$
<B>g++ -c example_wrap.cxx -I/usr/local/lib/ruby/
1.6/i686-linux
</B>
<BR>$
<B>g++ -shared example.o example_wrap.o -o example.so
</B>
<P> If you've written an
<TT>extconf.rb
</TT> script to automatically
generate a
<TT>Makefile
</TT> for your C++ extension module, keep in
mind that (as of this writing) Ruby still uses
<TT>gcc
</TT> and not
<TT>g++
</TT> as its linker. As a result, the required C++ runtime library
support will not be automatically linked into your extension module and
it may fail to load on some platforms. A workaround for this problem is
use the
<TT>mkmf
</TT> module's
<TT>append_library()
</TT> method to add
one of the C++ runtime libraries to the list of libraries linked into
<BR>$libs = append_library($libs,
"supc++
")
<BR>create_makefile('example')
<H2><A name=
"Ruby_nn9"></A>27.2 Building Ruby Extensions under Windows
<P> Building a SWIG extension to Ruby under Windows
95/NT is roughly
similar to the process used with Unix. Normally, you will want to
produce a DLL that can be loaded into the Ruby interpreter. For all
recent versions of Ruby, the procedure described above (i.e. using an
<TT>extconf.rb
</TT> script) will work with Windows as well; you should be
able to build your code into a DLL by typing:
</P><PRE>C:\swigtest
> <B>ruby extconf.rb
</B>
<BR>C:\swigtest
> <B>nmake
</B>
<BR>C:\swigtest
> <B>nmake install
</B>
<P> The remainder of this section covers the process of compiling
SWIG-generated Ruby extensions with Microsoft Visual C++
6 (i.e. within
the Developer Studio IDE, instead of using the command line tools). In
order to build extensions, you may need to download the source
distribution to the Ruby package, as you will need the Ruby header
<P><A name=
"n10"></A></P>
<H3><A name=
"Ruby_nn10"></A>27.2.1 Running SWIG from Developer Studio
</H3>
<P> If you are developing your application within Microsoft developer
studio, SWIG can be invoked as a custom build option. The process
roughly follows these steps :
</P><LI> Open up a new workspace and use the AppWizard to select a DLL
<LI> Add both the SWIG interface file (the .i file), any supporting C
files, and the name of the wrapper file that will be created by SWIG
(i.e..
<TT>example_wrap.c
</TT>). Note : If using C++, choose a
different suffix for the wrapper file such as
<TT>example_wrap.cxx
</TT>. Don't worry if the wrapper file doesn't exist yet--Developer Studio
will keep a reference to it around.
</LI><LI> Select the SWIG interface file and go to the settings menu. Under
settings, select the
"Custom Build
" option.
</LI><LI> Enter
"SWIG
" in the description field.
</LI>
<LI> Enter
"<TT>swig -ruby -o $(ProjDir)\$(InputName)_wrap.c
$(InputPath)
</TT>" in the
"Build command(s) field
". You may have to
include the path to swig.exe.
</LI><LI> Enter
"<TT>$(ProjDir)\$(InputName)_wrap.c
</TT>" in the
"Output
files(s) field
".
</LI><LI> Next, select the settings for the entire project and go to the
C/C++ tab and select the Preprocessor category. Add NT=
1 to the
Preprocessor definitions. This must be set else you will get
compilation errors. Also add IMPORT to the preprocessor definitions,
else you may get runtime errors. Also add the include directories for
your Ruby installation under
"Additional include directories
".
</LI><LI> Next, select the settings for the entire project and go to the Link
tab and select the General category. Set the name of the output file to
match the name of your Ruby module (i.e.. example.dll). Next add the
Ruby library file to your link libraries under Object/Library modules.
For example
"mswin32-ruby16.lib. You also need to add the path to the
library under the Input tab - Additional library path.
</LI><LI> Build your project.
</LI>
<P> Now, assuming all went well, SWIG will be automatically invoked when
you build your project. Any changes made to the interface file will
result in SWIG being automatically invoked to produce a new version of
the wrapper file. To run your new Ruby extension, simply run Ruby and
use the
<TT>require
</TT> command as normal. For example if you have
this ruby file run.rb:
</P><BR>print
"Foo =
", Example.Foo,
"\n
"
<P> Ensure the dll just built is in your path or current directory, then
run the Ruby script from the DOS/Command prompt:
</P><PRE>C:\swigtest
> <B>ruby run.rb
</B>
<H2><A name=
"Ruby_nn11"></A>27.3 The Ruby-to-C/C++ Mapping
</H2>
<P> This section describes the basics of how SWIG maps C or C++
declarations in your SWIG interface files to Ruby constructs.
</P><H3><A name=
"Ruby_nn12"></A>27.3.1 Modules
</H3>
<P> The SWIG
<TT>%module
</TT> directive specifies the name of the Ruby
module. If you specify:
</P><PRE>%module example
</PRE>
<P> then everything is wrapped into a Ruby module named
<TT>Example
</TT>
that is nested directly under the global module. You can specify a more
deeply nested module by specifying the fully-qualified module name in
<PRE>%module
"foo::bar::spam
"</PRE>
<P> An alternate method of specifying a nested module name is to use the
<!--span style="font-family: monospace;"-->
-prefix option on the SWIG command line. The prefix that you specify
with this option will be prepended to the module name specified with
<!--span style="font-family: monospace;"-->
%module directive in your SWIG interface file. So for example, this
declaration at the top of your SWIG interface file:
<PRE>%module
"foo::bar::spam
"</PRE>
<P> will result in a nested module name of
<!--span style="font-family: monospace;"-->
Foo::Bar::Spam, but you can achieve the
<!--span style="font-style: italic;"-->
same effect by specifying:
<P> and then running SWIG with the
<!--span style="font-family: monospace;"-->
-prefix command line option:
<PRE>$
<B>swig -ruby -prefix
"foo::bar::
" example.i
</B></PRE>
<P> Starting with SWIG
1.3.20, you can also choose to wrap everything
into the global module by specifying the
<TT>-globalmodule
</TT> option
on the SWIG command line, i.e.
</P><PRE>$
<B>swig -ruby -globalmodule example.i
</B></PRE>
<P> Note that this does not relieve you of the requirement of specifying
the SWIG module name with the
<TT>%module
</TT> directive (or the
<TT>-module
</TT> command-line option) as described earlier.
</P><P>When choosing a module name, do not use the same name as a built-in
Ruby command or standard module name, as the results may be
unpredictable. Similarly, if you're using the
<TT>-globalmodule
</TT> option to wrap everything into the global module, take care that the
names of your constants, classes and methods don't conflict with any of
Ruby's built-in names.
</P><H3><A name=
"Ruby_nn13"></A>27.3.2 Functions
</H3>
<P> Global functions are wrapped as Ruby module methods. For example,
given the SWIG interface file
<TT>example.i
</TT>:
</P><P> and C source file
<TT>example.c
</TT>:
</P>
<BR> return (n * fact(n-
1));
<P> SWIG will generate a method
<I> fact
</I> in the
<I> Example
</I> module
that can be used like so:
</P><BR>irb(main):
001:
0> <B>require 'example'
</B>
<BR>irb(main):
002:
0> <B>Example.fact(
4)
</B>
<H3><A name=
"Ruby_nn14"></A>27.3.3 Variable Linking
</H3>
<P> C/C++ global variables are wrapped as a pair of singleton methods
for the module: one to get the value of the global variable and one to
set it. For example, the following SWIG interface file declares two
<PRE>// SWIG interface file with global variables
<BR>extern int variable1;
<BR>extern double Variable2;
<P> Now look at the Ruby interface:
</P>
<BR>irb(main):
001:
0> <B>require 'Example'
</B>
<BR>irb(main):
002:
0> <B>Example.variable1 =
2</B>
<BR>irb(main):
003:
0> <B>Example.Variable2 =
4 *
10.3</B>
<BR>irb(main):
004:
0> <B>Example.Variable2
</B>
<P> If you make an error in variable assignment, you will receive an
error message. For example:
</P><PRE>irb(main):
005:
0> <B>Example.Variable2 =
"hello
"</B>
<BR>TypeError: no implicit conversion to float from string
<BR>from (irb):
5:in `Variable2='
<P> If a variable is declared as
<TT>const
</TT>, it is wrapped as a
read-only variable. Attempts to modify its value will result in an
<P>To make ordinary variables read-only, you can also use the
<TT>
%immutable
</TT> directive. For example:
</P><P> The
<TT>%immutable
</TT> directive stays in effect until it is
explicitly disabled using
<TT>%mutable
</TT>.
</P><H3><A name=
"Ruby_nn15"></A>27.3.4 Constants
</H3>
<P> C/C++ constants are wrapped as module constants initialized to the
appropriate value. To create a constant, use
<TT>#define
</TT> or the
<TT>%constant
</TT> directive. For example:
</P><BR>#define VERSION
"1.0"
<BR>%constant int FOO =
42;
<BR>%constant const char *path =
"/usr/local
";
<P> Remember to use the :: operator in Ruby to get at these constant
<BR>irb(main):
001:
0> <B>require 'Example'
</B>
<BR>irb(main):
002:
0> <B>Example::PI
</B>
<H3><A name=
"Ruby_nn16"></A>27.3.5 Pointers
</H3>
<P> "Opaque
" pointers to arbitrary C/C++ types (i.e. types that aren't
explicitly declared in your SWIG interface file) are wrapped as data
objects. So, for example, consider a SWIG interface file containing
only the declarations:
</P><BR>void set_foo(Foo *foo);
<P> For this case, the
<I> get_foo()
</I> method returns an instance of an
internally generated Ruby class:
</P><PRE>irb(main):
001:
0> <B>foo = Example::get_foo()
</B>
<BR>#
<SWIG::TYPE_p_Foo:
0x402b1654>
<P> A
<TT>NULL
</TT> pointer is always represented by the Ruby
<TT>nil
</TT>
<H3><A name=
"Ruby_nn17"></A>27.3.6 Structures
</H3>
<P> C/C++ structs are wrapped as Ruby classes, with accessor methods
(i.e.
"getters
" and
"setters
") for all of the struct members. For
example, this struct declaration:
</P><P> gets wrapped as a
<TT>Vector
</TT> class, with Ruby instance methods
<TT>
x
</TT>,
<TT> x=
</TT>,
<TT>y
</TT> and
<TT>y=
</TT>. These methods can be
used to access structure data from Ruby as follows:
</P><BR>irb(main):
001:
0> <B>require 'Example'
</B>
<BR>irb(main):
002:
0> <B>f = Example::Vector.new
</B>
<BR>#
<Example::Vector:
0x4020b268>
<BR>irb(main):
003:
0> <B>f.x =
10</B>
<BR>irb(main):
004:
0> <B>f.x
</B>
<P> Similar access is provided for unions and the public data members of
<P><TT>const
</TT> members of a structure are read-only. Data members can
also be forced to be read-only using the
<TT>%immutable
</TT> directive
(in C++,
<TT>private
</TT> may also be used). For example:
</P><BR> int x; /* Read-only members */
<P> When
<TT>char *
</TT> members of a structure are wrapped, the
contents are assumed to be dynamically allocated using
<TT>malloc
</TT> or
<TT>new
</TT> (depending on whether or not SWIG is run with the
<TT>-c++
</TT> option). When the structure member is set, the old contents
will be released and a new value created. If this is not the behavior
you want, you will have to use a typemap (described shortly).
</P><P>Array members are normally wrapped as read-only. For example, this
<P> produces a single accessor function like this:
</P>
<PRE>int *Foo_x_get(Foo *self) {
<P> If you want to set an array member, you will need to supply a
"memberin
" typemap described in the
<A href=
"#ruby_cpp_smart_pointers">
section on typemaps
</A>. As a special case, SWIG does generate code to
set array members of type
<TT>char
</TT> (allowing you to store a Ruby
string in the structure).
</P><P>When structure members are wrapped, they are handled as pointers. For
<P> generates accessor functions such as this:
</P>
<PRE>Foo *Bar_f_get(Bar *b) {
<BR> return
&b-
>f;
<BR>void Bar_f_set(Bar *b, Foo *val) {
<H3><A name=
"Ruby_nn18"></A>27.3.7 C++ classes
</H3>
<P> Like structs, C++ classes are wrapped by creating a new Ruby class
of the same name with accessor methods for the public class member
data. Additionally, public member functions for the class are wrapped
as Ruby instance methods, and public static member functions are
wrapped as Ruby singleton methods. So, given the C++ class declaration:
</P><BR> int search(char *item);
<BR> void insert(char *item);
<BR> void remove(char *item);
<BR> static void print(List *l);
<P> SWIG would create a
<TT>List
</TT> class with:
</P>
<LI> instance methods
<I> search
</I>,
<I> insert
</I>,
<I> remove
</I>, and
<I>
<LI> instance methods
<I> length
</I> and
<I> length=
</I> (to get and set
the value of the
<I> length
</I> data member); and,
</LI><LI> a
<I> print
</I> singleton method for the class.
</LI>
<P> In Ruby, these functions are used as follows:
</P>
<BR>l = Example::List.new
<BR>l.insert(
"Ale
")
<BR>l.insert(
"Stout
")
<BR>l.insert(
"Lager
")
<BR>----- produces the following output
<H3><A name=
"Ruby_nn19"></A>27.3.8 C++ Inheritance
</H3>
<P> The SWIG type-checker is fully aware of C++ inheritance. Therefore,
if you have classes like this:
</P><BR>class Child : public Parent {
<P> those classes are wrapped into a hierarchy of Ruby classes that
reflect the same inheritance structure. All of the usual Ruby utility
methods work normally:
</P><PRE>irb(main):
001:
0> <B>c = Child.new
</B>
<BR>#
<Bar:
0x4016efd4>
<BR>irb(main):
002:
0> <B>c.instance_of? Child
</B>
<BR>irb(main):
003:
0> <B>b.instance_of? Parent
</B>
<BR>irb(main):
004:
0> <B>b.is_a? Child
</B>
<BR>irb(main):
005:
0> <B>b.is_a? Parent
</B>
<BR>irb(main):
006:
0> <B>Child
< Parent
</B>
<BR>irb(main):
007:
0> <B>Child
> Parent
</B>
<P> Furthermore, if you have a function like this:
</P>
<PRE>void spam(Parent *f);
<P> then the function
<TT>spam()
</TT> accepts
<TT>Parent
</TT>* or a
pointer to any class derived from
<TT>Parent
</TT>.
</P><P>Until recently, the Ruby module for SWIG didn't support multiple
inheritance, and this is still the default behavior. This doesn't mean
that you can't wrap C++ classes which inherit from multiple base
classes; it simply means that only the
<B> first
</B> base class listed
in the class declaration is considered, and any additional base classes
are ignored. As an example, consider a SWIG interface file with a
declaration like this:
</P><PRE>class Derived : public Base1, public Base2
<P> For this case, the resulting Ruby class (
<TT>Derived
</TT>) will only
consider
<TT>Base1
</TT> as its superclass. It won't inherit any of
<TT>Base2
</TT>'s member functions or data and it won't recognize
<TT>Base2
</TT> as an
"ancestor
" of
<TT>Derived
</TT> (i.e. the
<EM> is_a?
</EM> relationship would fail). When SWIG processes this interface file,
you'll see a warning message like:
</P><PRE>example.i:
5: Warning(
802): Warning for Derived: Base Base2 ignored.
<BR>Multiple inheritance is not supported in Ruby.
<P> Starting with SWIG
1.3.20, the Ruby module for SWIG provides limited
support for multiple inheritance. Because the approach for dealing with
multiple inheritance introduces some limitations, this is an optional
feature that you can activate with the
<TT>-minherit
</TT> command-line
<PRE>$
<B>swig -c++ -ruby -minherit example.i
</B></PRE>
<P> Using our previous example, if your SWIG interface file contains a
declaration like this:
</P><PRE>class Derived : public Base1, public Base2
<P> and you run SWIG with the
<TT>-minherit
</TT> command-line option,
then you will end up with a Ruby class
<TT>Derived
</TT> that appears to
"inherit
" the member data and functions from both
<TT>Base1
</TT> and
<TT>
Base2
</TT>. What actually happens is that three different top-level
classes are created, with Ruby's
<TT>Object
</TT> class as their
superclass. Each of these classes defines a nested module named
<TT>Impl
</TT>, and it's in these nested
<TT>Impl
</TT> modules that the
actual instance methods for the classes are defined, i.e.
</P><BR> # Define Base1 methods here
<BR> # Define Base2 methods here
<BR> # Define Derived methods here
<P> Observe that after the nested
<TT>Impl
</TT> module for a class is
defined, it is mixed-in to the class itself. Also observe that the
<TT>Derived::Impl
</TT> module first mixes-in its base classes'
<TT>Impl
</TT> modules, thus
"inheriting
" all of their behavior.
</P><P>The primary drawback is that, unlike the default mode of operation,
neither
<TT>Base1
</TT> nor
<TT>Base2
</TT> is a true superclass of
<TT>Derived
</TT> anymore:
</P><BR>obj.is_a? Base1 # this will return false...
<BR>obj.is_a? Base2 # ... and so will this
<P> In most cases, this is not a serious problem since objects of type
<TT>
Derived
</TT> will otherwise behave as though they inherit from both
<TT>Base1
</TT> and
<TT>Base2
</TT> (i.e. they exhibit
<A href=
"http://c2.com/cgi/wiki?DuckTyping">"Duck Typing
"</A>).
</P>
<H3><A name=
"Ruby_nn20"></A>27.3.9 C++ Overloaded Functions
</H3>
<P> C++ overloaded functions, methods, and constructors are mostly
supported by SWIG. For example, if you have two functions like this:
</P><P> You can use them in Ruby in a straightforward manner:
</P>
<PRE>irb(main):
001:
0> <B>foo(
3)
</B> # foo(int)
<BR>irb(main):
002:
0> <B>foo(
"Hello
")
</B> # foo(char *c)
<P>Similarly, if you have a class like this,
</P>
<BR> Foo(const Foo
&);
<P>you can write Ruby code like this:
</P>
<PRE>irb(main):
001:
0> <B>f = Foo.new
</B> # Create a Foo
<BR>irb(main):
002:
0> <B>g = Foo.new(f)
</B> # Copy f
<P> Overloading support is not quite as flexible as in C++. Sometimes
there are methods that SWIG can't disambiguate. For example:
</P><BR>void foo(Bar
&b);
<P> If declarations such as these appear, you will get a warning message
<PRE>example.i:
12: Warning(
509): Overloaded spam(short) is shadowed by spam(int)
<P> To fix this, you either need to ignore or rename one of the methods.
<PRE>%rename(spam_short) spam(short);
<BR>void spam(short); // Accessed as spam_short
<PRE>%ignore spam(short);
<BR>void spam(short); // Ignored
<P> SWIG resolves overloaded functions and methods using a
disambiguation scheme that ranks and sorts declarations according to a
set of type-precedence rules. The order in which declarations appear in
the input does not matter except in situations where ambiguity
arises--in this case, the first declaration takes precedence.
</P><P>Please refer to the
<A href=
"#SWIGPlus">"SWIG and C++
"</A> chapter
for more information about overloading.
<A name=
"n21"></A></P><H3><A name=
"Ruby_nn21"></A>27.3.10 C++ Operators
</H3>
<P> For the most part, overloaded operators are handled automatically by
SWIG and do not require any special treatment on your part. So if your
class declares an overloaded addition operator, e.g.
</P><BR> Complex operator+(Complex
&);
<P> the resulting Ruby class will also support the addition (+) method
<P>For cases where SWIG's built-in support is not sufficient, C++
operators can be wrapped using the
<TT>%rename
</TT> directive
(available on SWIG
1.3.10 and later releases). All you need to do is
give the operator the name of a valid Ruby identifier. For example:
</P><PRE>%rename(add_complex) operator+(Complex
&, Complex
&);
<BR>Complex operator+(Complex
&, Complex
&);
<P>Now, in Ruby, you can do this:
</P>
<PRE>a = Example::Complex.new(
2,
3)
<BR>b = Example::Complex.new(
4, -
1)
<BR>c = Example.add_complex(a, b)
<P> More details about wrapping C++ operators into Ruby operators is
discussed in the
<A href=
"#ruby_operator_overloading">section on
operator overloading
</A>.
</P><H3><A name=
"Ruby_nn22"></A>27.3.11 C++ namespaces
</H3>
<P> SWIG is aware of C++ namespaces, but namespace names do not appear
in the module nor do namespaces result in a module that is broken up
into submodules or packages. For example, if you have a file like this,
</P><P>it works in Ruby as follows:
</P>
<PRE>irb(main):
001:
0> <B>require 'example'
</B>
<BR>irb(main):
002:
0> <B>Example.fact(
3)
</B>
<BR>irb(main):
003:
0> <B>v = Example::Vector.new
</B>
<BR>#
<Example::Vector:
0x4016f4d4>
<BR>irb(main):
004:
0> <B>v.x =
3.4</B>
<BR>irb(main):
004:
0> <B>v.y
</B>
<P> If your program has more than one namespace, name conflicts (if any)
can be resolved using
<TT>%rename
</TT> For example:
</P><PRE>%rename(Bar_spam) Bar::spam;
<P> If you have more than one namespace and your want to keep their
symbols separate, consider wrapping them as separate SWIG modules. For
example, make the module name the same as the namespace and create
extension modules for each namespace separately. If your program
utilizes thousands of small deeply nested namespaces each with
identical symbol names, well, then you get what you deserve.
</P><H3><A name=
"Ruby_nn23"></A>27.3.12 C++ templates
</H3>
<P> C++ templates don't present a huge problem for SWIG. However, in
order to create wrappers, you have to tell SWIG to create wrappers for
a particular template instantiation. To do this, you use the
<TT>%template
</TT> directive. For example:
</P><BR>#include
"pair.h
"
<BR>template
<class T1, class T2
>
<BR> typedef T1 first_type;
<BR> typedef T2 second_type;
<BR> pair(const T1
&, const T2
&);
<BR>%template(Pairii) pair
<int,int
>;
<PRE>irb(main):
001:
0> <B>require 'example'
</B>
<BR>irb(main):
002:
0> <B>p = Example::Pairii.new(
3,
4)
</B>
<BR>#
<Example:Pairii:
0x4016f4df>
<BR>irb(main):
003:
0> <B>p.first
</B>
<BR>irb(main):
004:
0> <B>p.second
</B>
<P> On a related note, the standard SWIG library contains a number of
modules that provide typemaps for standard C++ library classes (such as
<TT>std::pair
</TT>,
<TT>std::string
</TT> and
<TT>std::vector
</TT>).
These library modules don't provide wrappers around the templates
themselves, but they do make it convenient for users of your extension
module to pass Ruby objects (such as arrays and strings) to wrapped C++
code that expects instances of standard C++ templates. For example,
suppose the C++ library you're wrapping has a function that expects a
<BR>float sum(const std::vector
<float
>& values);
<P> Rather than go through the hassle of writing an
"in
" typemap to
convert an array of Ruby numbers into a std::vector
<float
>, you can
just use the
<TT>std_vector.i
</TT> module from the standard SWIG
<BR><B>%include std_vector.i
</B>
<BR>float sum(const std::vector
<float
>& values);
<P> Obviously, there is a lot more to template wrapping than shown in
these examples. More details can be found in the
<A href=
"#SWIGPlus">SWIG and C++
</A> chapter.
</P><H3><A name=
"ruby_cpp_smart_pointers"></A>27.3.13 C++ Smart Pointers
</H3>
<P> In certain C++ programs, it is common to use classes that have been
wrapped by so-called
"smart pointers.
" Generally, this involves the use
of a template class that implements
<TT>operator-
>()
</TT> like this:
</P><PRE>template
<class T
> class SmartPtr {
<P>Then, if you have a class like this,
</P>
<P>A smart pointer would be used in C++ as follows:
</P>
<PRE>SmartPtr
<Foo
> p = CreateFoo(); // Created somehow (not shown)
<BR>p-
>x =
3; // Foo::x
<BR>int y = p-
>bar(); // Foo::bar
<P> To wrap this in Ruby, simply tell SWIG about the
<TT>SmartPtr
</TT>
class and the low-level
<TT>Foo
</TT> object. Make sure you instantiate
<TT>SmartPtr
</TT> using
<TT>%template
</TT> if necessary. For example:
</P><BR>%template(SmartPtrFoo) SmartPtr
<Foo
>;
<P>Now, in Ruby, everything should just
"work
":
</P>
<PRE>irb(main):
001:
0> <B>p = Example::CreateFoo()
</B> # Create a smart-pointer somehow
<BR>#
<Example::SmartPtrFoo:
0x4016f4df>
<BR>irb(main):
002:
0> <B>p.x =
3</B> # Foo::x
<BR>irb(main):
003:
0> <B>p.bar()
</B> # Foo::bar
<P> If you ever need to access the underlying pointer returned by
<TT>
operator-
>()
</TT> itself, simply use the
<TT>__deref__()
</TT> method.
<PRE>irb(main):
004:
0> <B>f = p.__deref__()
</B> # Returns underlying Foo *
<H3><A name=
"Ruby_nn25"></A>27.3.14 Cross-Language Polymorphism
</H3>
<P> SWIG's Ruby module supports cross-language polymorphism (a.k.a. the
"directors
" feature) similar to that for SWIG's Python module. Rather
than duplicate the information presented in the
<A href=
"#Python">Python
</A> chapter, this section just notes the differences that you
need to be aware of when using this feature with Ruby.
</P><H4><A name=
"Ruby_nn26"></A>27.3.14.1 Exception Unrolling
</H4>
<P> Whenever a C++ director class routes one of its virtual member
function calls to a Ruby instance method, there's always the
possibility that an exception will be raised in the Ruby code. By
default, those exceptions are ignored, which simply means that the
exception will be exposed to the Ruby interpreter. If you would like to
change this behavior, you can use the
<TT>%feature(
"director:except
")
</TT> directive to indicate what action should be taken when a Ruby exception
is raised. The following code should suffice in most cases:
</P><PRE>%feature(
"director:except
") {
<BR> throw Swig::DirectorMethodException($error);
<P> When this feature is activated, the call to the Ruby instance method
is
"wrapped
" using the
<TT>rb_rescue2()
</TT> function from Ruby's C
API. If any Ruby exception is raised, it will be caught here and a C++
exception is raised in its place.
</P><H2><A name=
"Ruby_nn27"></A>27.4 Input and output parameters
</H2>
<P> A common problem in some C programs is handling parameters passed as
simple pointers. For example:
</P><PRE>void add(int x, int y, int *result) {
<BR>int sub(int *x, int *y) {
<P> The easiest way to handle these situations is to use the
<TT>
typemaps.i
</TT> file. For example:
</P><BR>%include
"typemaps.i
"
<BR>void add(int, int, int *OUTPUT);
<BR>int sub(int *INPUT, int *INPUT);
<P>In Ruby, this allows you to pass simple values. For example:
</P>
<PRE>a = Example.add(
3,
4)
<P> Notice how the
<TT>INPUT
</TT> parameters allow integer values to be
passed instead of pointers and how the
<TT>OUTPUT
</TT> parameter
creates a return result.
</P><P>If you don't want to use the names
<TT>INPUT
</TT> or
<TT>OUTPUT
</TT>,
use the
<TT>%apply
</TT> directive. For example:
</P><BR>%include
"typemaps.i
"
<BR>%apply int *OUTPUT { int *result };
<BR>%apply int *INPUT { int *x, int *y};
<BR>void add(int x, int y, int *result);
<BR>int sub(int *x, int *y);
<P> If a function mutates one of its parameters like this,
</P>
<PRE>void negate(int *x) {
<P>you can use
<TT>INOUT
</TT> like this:
</P>
<PRE>%include
"typemaps.i
"
<BR>void negate(int *INOUT);
<P>In Ruby, a mutated parameter shows up as a return value. For example:
</P>
<PRE>a = Example.negate(
3)
<P> The most common use of these special typemap rules is to handle
functions that return more than one value. For example, sometimes a
function returns a result as well as a special error code:
</P><PRE>/* send message, return number of bytes sent, success code, and error_code */
<BR>int send_message(char *text, int *success, int *error_code);
<P> To wrap such a function, simply use the
<TT>OUTPUT
</TT> rule above.
<BR>%include
"typemaps.i
"
<BR>int send_message(char *, int *OUTPUT, int *OUTPUT);
<P> When used in Ruby, the function will return an array of multiple
<PRE>bytes, success, error_code = send_message(
"Hello World
")
<BR> print
"error #{error_code} : in send_message
"
<BR> print
"Sent
", bytes
<P> Another way to access multiple return values is to use the
<TT>
%apply
</TT> rule. In the following example, the parameters rows and
columns are related to SWIG as
<TT>OUTPUT
</TT> values through the use
<BR>%include
"typemaps.i
"
<BR>%apply int *OUTPUT { int *rows, int *columns };
<BR>void get_dimensions(Matrix *m, int *rows, int*columns);
<PRE>r, c = Example.get_dimensions(m)
<H2><A name=
"Ruby_nn28"></A>27.5 Simple exception handling
</H2>
<P> The SWIG
<TT>%exception
</TT> directive can be used to define a
user-definable exception handler that can convert C/C++ errors into
Ruby exceptions. The chapter on
<A href=
"#Customization">Customization
Features
</A> contains more details, but suppose you have a C++ class
<BR> // Create a new array of fixed size
<BR> DoubleArray(int size) {
<BR> ptr = new double[size];
<BR> // Return the length of the array
<BR> // Get an array item and perform bounds checking.
<BR> double getitem(int i) {
<BR> if ((i
>=
0)
&& (i
< n))
<BR> // Set an array item and perform bounds checking.
<BR> void setitem(int i, double val) {
<BR> if ((i
>=
0)
&& (i
< n))
<P> Since several methods in this class can throw an exception for an
out-of-bounds access, you might want to catch this in the Ruby
extension by writing the following in an interface file:
</P><BR> catch (const RangeError
&) {
<BR> static VALUE cpperror = rb_define_class(
"CPPError
", rb_eStandardError);
<BR> rb_raise(cpperror,
"Range error.
");
<P> The exception handling code is inserted directly into generated
wrapper functions. When an exception handler is defined, errors can be
caught and used to gracefully raise a Ruby exception instead of forcing
the entire program to terminate with an uncaught error.
</P><P>As shown, the exception handling code will be added to every wrapper
function. Because this is somewhat inefficient, you might consider
refining the exception handler to only apply to specific methods like
<PRE>%exception getitem {
<BR> catch (const RangeError
&) {
<BR> static VALUE cpperror = rb_define_class(
"CPPError
", rb_eStandardError);
<BR> rb_raise(cpperror,
"Range error in getitem.
");
<BR> catch (const RangeError
&) {
<BR> static VALUE cpperror = rb_define_class(
"CPPError
", rb_eStandardError);
<BR> rb_raise(cpperror,
"Range error in setitem.
");
<P> In this case, the exception handler is only attached to methods and
functions named
<TT>getitem
</TT> and
<TT>setitem
</TT>.
</P><P>Since SWIG's exception handling is user-definable, you are not
limited to C++ exception handling. See the chapter on
<A href=
"#Customization">Customization Features
</A> for more examples.
</P><P>When raising a Ruby exception from C/C++, use the
<TT>rb_raise()
</TT>
function as shown above. The first argument passed to
<TT>rb_raise()
</TT> is the exception type. You can raise a custom exception type (like the
<TT>cpperror
</TT> example shown above) or one of the built-in Ruby exception
types. For a list of the standard Ruby exception classes, consult a
Ruby reference such as
<A href=
"http://www.rubycentral.com/book"><EM> Programming Ruby
</EM></A>.
</P><H2><A name=
"Ruby_nn29"></A>27.5 Typemaps
</H2>
<P> This section describes how you can modify SWIG's default wrapping
behavior for various C/C++ datatypes using the
<TT>%typemap
</TT> directive. This is an advanced topic that assumes familiarity with the
Ruby C API as well as the material in the
"<A href=
"#Typemaps">Typemaps
</A><P>Before proceeding, it should be stressed that typemaps are not a
required part of using SWIG---the default wrapping behavior is enough
in most cases. Typemaps are only used if you want to change some aspect
of the primitive C-Ruby interface.
</P><H3><A name=
"Ruby_nn30"></A>27.5.1 What is a typemap?
</H3>
<P> A typemap is nothing more than a code generation rule that is
attached to a specific C datatype. For example, to convert integers
from Ruby to C, you might define a typemap like this:
</P><BR> $
1 = (int) NUM2INT($input);
<BR> printf(
"Received an integer : %d\n
",$
1);
<BR>extern int fact(int n);
<P> Typemaps are always associated with some specific aspect of code
generation. In this case, the
"in
" method refers to the conversion of
input arguments to C/C++. The datatype
<TT>int
</TT> is the datatype to
which the typemap will be applied. The supplied C code is used to
convert values. In this code a number of special variables prefaced by
a
<TT>$
</TT> are used. The
<TT>$
1</TT> variable is placeholder for a
local variable of type
<TT>int
</TT>. The
<TT>$input
</TT> variable is
the input Ruby object.
</P><P>When this example is compiled into a Ruby module, the following
<P>prints the result:
</P>
<PRE>Received an integer :
6
<P> In this example, the typemap is applied to all occurrences of the
<TT>
int
</TT> datatype. You can refine this by supplying an optional
parameter name. For example:
</P><BR> $
1 = (int) NUM2INT($input);
<BR> printf(
"n = %d\n
",$
1);
<BR>extern int fact(int n);
<P> In this case, the typemap code is only attached to arguments that
exactly match
"<TT>int n
</TT>".
</P><P>The application of a typemap to specific datatypes and argument names
involves more than simple text-matching--typemaps are fully integrated
into the SWIG type-system. When you define a typemap for
<TT>int
</TT>,
that typemap applies to
<TT>int
</TT> and qualified variations such as
<TT>const int
</TT>. In addition, the typemap system follows
<TT>typedef
</TT> declarations. For example:
</P><PRE>%typemap(in) int n {
<BR> $
1 = (int) NUM2INT($input);
<BR> printf(
"n = %d\n
",$
1);
<BR>extern int fact(Integer n); // Above typemap is applied
<P> However, the matching of
<TT>typedef
</TT> only occurs in one
direction. If you defined a typemap for
<TT>Integer
</TT>, it is not
applied to arguments of type
<TT>int
</TT>.
</P><P>Typemaps can also be defined for groups of consecutive arguments. For
<PRE>%typemap(in) (char *str, int len) {
<BR> $
1 = STR2CSTR($input);
<BR> $
2 = (int) RSTRING($input)-
>len;
<BR>int count(char c, char *str, int len);
<P> When a multi-argument typemap is defined, the arguments are always
handled as a single Ruby object. This allows the function
<TT>count
</TT> to be used as follows (notice how the length parameter is omitted):
</P><PRE>puts Example.count('o','Hello World')
<H3><A name=
"Ruby_nn31"></A>27.5.2 Ruby typemaps
</H3>
<P> The previous section illustrated an
"in
" typemap for converting Ruby
objects to C. A variety of different typemap methods are defined by the
Ruby module. For example, to convert a C integer back into a Ruby
object, you might define an
"out
" typemap like this:
</P><BR> $result = INT2NUM($
1);
<P> The following list details all of the typemap methods that can be
used by the Ruby module:
</P><P><TT>%typemap(in)
</TT></P>
<DIV class=
"indent">Converts Ruby objects to input function arguments
</DIV>
<P><TT>%typemap(out)
</TT></P>
<DIV class=
"indent">Converts return value of a C function to a Ruby
<P><TT>%typemap(varin)
</TT></P>
<DIV class=
"indent">Assigns a C global variable from a Ruby object
</DIV>
<P><TT>%typemap(varout)
</TT></P>
<DIV class=
"indent">Returns a C global variable as a Ruby object
</DIV>
<P><TT>%typemap(freearg)
</TT></P>
<DIV class=
"indent">Cleans up a function argument (if necessary)
</DIV>
<P><TT>%typemap(argout)
</TT></P>
<DIV class=
"indent">Output argument processing
</DIV>
<P><TT>%typemap(ret)
</TT></P>
<DIV class=
"indent">Cleanup of function return values
</DIV>
<P><TT>%typemap(memberin)
</TT></P>
<DIV class=
"indent">Setting of structure/class member data
</DIV>
<P><TT>%typemap(globalin)
</TT></P>
<DIV class=
"indent">Setting of C global variables
</DIV>
<P><TT>%typemap(check)
</TT></P>
<DIV class=
"indent">Checks function input values.
</DIV>
<P><TT>%typemap(default)
</TT></P>
<DIV class=
"indent">Set a default value for an argument (making it
<P><TT>%typemap(arginit)
</TT></P>
<DIV class=
"indent">Initialize an argument to a value before any
<P> Examples of these typemaps appears in the
<A href=
"#ruby_typemap_examples">
section on typemap examples
</A></P><H3><A name=
"Ruby_nn32"></A>27.5.3 Typemap variables
</H3>
Within a typemap, a number of special variables prefaced with a
<TT>$
</TT> may appear. A full list of variables can be found in the
"<A href=
"#Typemaps">Typemaps
</A>" chapter. This is a list of the most common variables:
<DIV class=
"indent">A C local variable corresponding to the actual type
specified in the
<TT>%typemap
</TT> directive. For input values, this is
a C local variable that is supposed to hold an argument value. For
output values, this is the raw result that is supposed to be returned
<DIV class=
"indent">A
<TT>VALUE
</TT> holding a raw Ruby object with an
argument or variable value.
</DIV><DIV class=
"indent">A
<TT>VALUE
</TT> that holds the result to be
<DIV class=
"indent">The parameter name that was matched.
</DIV>
<DIV class=
"indent">The actual C datatype matched by the typemap.
</DIV>
<DIV class=
"indent">An assignable version of the datatype matched by the
typemap (a type that can appear on the left-hand-side of a C assignment
operation). This type is stripped of qualifiers and may be an altered
version of
<TT>$
1_type
</TT>. All arguments and local variables in
wrapper functions are declared using this type so that their values can
be properly assigned.
</DIV><DIV class=
"indent">The Ruby name of the wrapper function being created.
</DIV>
<H3><A name=
"Ruby_nn33"></A>27.5.4 Useful Functions
</H3>
<P> When you write a typemap, you usually have to work directly with
Ruby objects. The following functions may prove to be useful. (These
functions plus many more can be found in
<A href=
"http://www.rubycentral.com/book"><EM>Programming Ruby
</EM></A>, by David Thomas and Andrew Hunt.)
</P>
<P><A name=
"n34"></A></P>
<H4><A name=
"Ruby_nn34"></A>27.5.4.1 C Datatypes to Ruby Objects
</H4>
<PRE>INT2NUM(long or int) - int to Fixnum or Bignum
<BR>INT2FIX(long or int) - int to Fixnum (faster than INT2NUM)
<BR>CHR2FIX(char) - char to Fixnum
<BR>rb_str_new2(char*) - char* to String
<BR>rb_float_new(double) - double to Float
<H4><A name=
"Ruby_nn35"></A>27.5.4.2 Ruby Objects to C Datatypes
</H4>
<PRE> int NUM2INT(Numeric)
<BR> int FIX2INT(Numeric)
<BR> unsigned int NUM2UINT(Numeric)
<BR> unsigned int FIX2UINT(Numeric)
<BR> long NUM2LONG(Numeric)
<BR> long FIX2LONG(Numeric)
<BR>unsigned long FIX2ULONG(Numeric)
<BR> char NUM2CHR(Numeric or String)
<BR> char * STR2CSTR(String)
<BR> char * rb_str2cstr(String, int*length)
<BR> double NUM2DBL(Numeric)
<H4><A name=
"Ruby_nn36"></A>27.5.4.3 Macros for VALUE
</H4>
<P> <TT>RSTRING(str)-
>len
</TT></P>
<DIV class=
"indent">length of the Ruby string
</DIV>
<P><TT>RSTRING(str)-
>ptr
</TT></P>
<DIV class=
"indent">pointer to string storage
</DIV>
<P><TT>RARRAY(arr)-
>len
</TT></P>
<DIV class=
"indent">length of the Ruby array
</DIV>
<P><TT>RARRAY(arr)-
>capa
</TT></P>
<DIV class=
"indent">capacity of the Ruby array
</DIV>
<P><TT>RARRAY(arr)-
>ptr
</TT></P>
<DIV class=
"indent">pointer to array storage
</DIV>
<H4><A name=
"Ruby_nn37"></A>27.5.4.4 Exceptions
</H4>
<P> <TT>void rb_raise(VALUE exception, const char *fmt, ...)
</TT></P>
<DIV class=
"indent"> Raises an exception. The given format string
<I> fmt
</I>
and remaining arguments are interpreted as with
<TT>printf()
</TT>.
</DIV><P><TT>void rb_fatal(const char *fmt, ...)
</TT></P>
<DIV class=
"indent"> Raises a fatal exception, terminating the process.
No rescue blocks are called, but ensure blocks will be called. The
given format string
<I> fmt
</I> and remaining arguments are interpreted
as with
<TT>printf()
</TT>.
</DIV><P><TT>void rb_bug(const char *fmt, ...)
</TT></P>
<DIV class=
"indent"> Terminates the process immediately -- no handlers
of any sort will be called. The given format string
<I> fmt
</I> and
remaining arguments are interpreted as with
<TT>printf()
</TT>. You
should call this function only if a fatal bug has been exposed.
</DIV><P><TT>void rb_sys_fail(const char *msg)
</TT></P>
<DIV class=
"indent"> Raises a platform-specific exception corresponding
to the last known system error, with the given string
<I> msg
</I>.
</DIV><P><TT>VALUE rb_rescue(VALUE (*body)(VALUE), VALUE args,
VALUE(*rescue)(VALUE, VALUE), VALUE rargs)
</TT></P><DIV class=
"indent"> Executes
<I> body
</I> with the given
<I> args
</I>. If
a
<TT>StandardError
</TT> exception is raised, then execute
<I> rescue
</I> with the given
<I> rargs
</I>.
</DIV><P><TT>VALUE rb_ensure(VALUE(*body)(VALUE), VALUE args,
VALUE(*ensure)(VALUE), VALUE eargs)
</TT></P><DIV class=
"indent"> Executes
<I> body
</I> with the given
<I> args
</I>.
Whether or not an exception is raised, execute
<I> ensure
</I> with the
given
<I> rargs
</I> after
<I> body
</I> has completed.
</DIV><P><TT>VALUE rb_protect(VALUE (*body)(VALUE), VALUE args, int *result)
</TT>
<DIV class=
"indent"> Executes
<I> body
</I> with the given
<I> args
</I> and
returns nonzero in result if any exception was raised.
</DIV><P><TT>void rb_notimplement()
</TT></P>
<DIV class=
"indent"> Raises a
<TT>NotImpError
</TT> exception to indicate
that the enclosed function is not implemented yet, or not available on
<P><TT>void rb_exit(int status)
</TT></P>
<DIV class=
"indent"> Exits Ruby with the given
<I> status
</I>. Raises a
<TT>
SystemExit
</TT> exception and calls registered exit functions and
<P><TT>void rb_warn(const char *fmt, ...)
</TT></P>
<DIV class=
"indent"> Unconditionally issues a warning message to
standard error. The given format string
<I> fmt
</I> and remaining
arguments are interpreted as with
<TT>printf()
</TT>.
</DIV><P><TT>void rb_warning(const char *fmt, ...)
</TT></P>
<DIV class=
"indent"> Conditionally issues a warning message to standard
error if Ruby was invoked with the
<TT>-w
</TT> flag. The given format
string
<I> fmt
</I> and remaining arguments are interpreted as with
<TT><H4><A name=
"Ruby_nn38"></A>27.5.4.5 Iterators
</H4>
<P> <TT>void rb_iter_break()
</TT></P>
<DIV class=
"indent"> Breaks out of the enclosing iterator block.
</DIV>
<P><TT>VALUE rb_each(VALUE obj)
</TT></P>
<DIV class=
"indent"> Invokes the
<TT>each
</TT> method of the given
<I>
<P><TT>VALUE rb_yield(VALUE arg)
</TT></P>
<DIV class=
"indent"> Transfers execution to the iterator block in the
current context, passing
<I> arg
</I> as an argument. Multiple values may
be passed in an array.
</DIV><P><TT>int rb_block_given_p()
</TT></P>
<DIV class=
"indent"> Returns
<TT>true
</TT> if
<TT>yield
</TT> would
execute a block in the current context; that is, if a code block was
passed to the current method and is available to be called.
</DIV><P><TT>VALUE rb_iterate(VALUE (*method)(VALUE), VALUE args, VALUE
(*block)(VALUE, VALUE), VALUE arg2)
</TT></P><DIV class=
"indent"> Invokes
<I> method
</I> with argument
<I> args
</I> and
block
<I> block
</I>. A
<TT>yield
</TT> from that method will invoke
<I> block
</I> with the argument given to
<TT>yield
</TT>, and a second
argument
<I> arg2
</I>.
</DIV><P><TT>VALUE rb_catch(const char *tag, VALUE (*proc)(VALUE, VALUE),
<DIV class=
"indent"> Equivalent to Ruby's
<TT>catch
</TT>.
</DIV>
<P><TT>void rb_throw(const char *tag, VALUE value)
</TT></P>
<DIV class=
"indent"> Equivalent to Ruby's
<TT>throw
</TT>.
</DIV>
<H3><A name=
"ruby_typemap_examples"></A>27.5.5 Typemap Examples
</H3>
<P> This section includes a few examples of typemaps. For more examples,
you might look at the examples in the
<TT>Example/ruby
</TT> directory.
</P><H3><A name=
"Ruby_nn40"></A>27.5.6 Converting a Ruby array to a char **
</H3>
<P> A common problem in many C programs is the processing of command
line arguments, which are usually passed in an array of
<TT>NULL
</TT> terminated strings. The following SWIG interface file allows a Ruby
Array instance to be used as a
<TT>char **
</TT> object.
</P><BR>// This tells SWIG to treat char ** as a special case
<BR>%typemap(in) char ** {
<BR> /* Get the length of the array */
<BR> int size = RARRAY($input)-
>len;
<BR> $
1 = (char **) malloc((size+
1)*sizeof(char *));
<BR> /* Get the first element in memory */
<BR> VALUE *ptr = RARRAY($input)-
>ptr;
<BR> for (i=
0; i
< size; i++, ptr++)
<BR> /* Convert Ruby Object String to char* */
<BR> $
1[i]= STR2CSTR(*ptr);
<BR> $
1[i]=NULL; /* End of list */
<BR>// This cleans up the char ** array created before
<BR>%typemap(freearg) char ** {
<BR>// Now a test function
<BR>int print_args(char **argv) {
<BR> printf(
"argv[%d] = %s\n
", i,argv[i]);
<P> When this module is compiled, the wrapped C function now operates as
<BR>Argv.print_args([
"Dave
",
"Mike
",
"Mary
",
"Jane
",
"John
"])
<P> In the example, two different typemaps are used. The
"in
" typemap is
used to receive an input argument and convert it to a C array. Since
dynamic memory allocation is used to allocate memory for the array, the
"freearg
" typemap is used to later release this memory after the
execution of the C function.
</P><H3><A name=
"Ruby_nn41"></A>27.5.7 Collecting arguments in a hash
</H3>
<P> Ruby's solution to the
"keyword arguments
" capability of some other
languages is to allow the programmer to pass in one or more key-value
pairs as arguments to a function. All of those key-value pairs are
collected in a single
<TT>Hash
</TT> argument that's presented to the
function. If it makes sense, you might want to provide similar
functionality for your Ruby interface. For example, suppose you'd like
to wrap this C function that collects information about people's vital
<PRE>void setVitalStats(const char *person, int nattributes, const char **names, int *values);
<P> and you'd like to be able to call it from Ruby by passing in an
arbitrary number of key-value pairs as inputs, e.g.
</P><PRE>setVitalStats(
"Fred
",
<P> To make this work, you need to write a typemap that expects a Ruby
<TT>
Hash
</TT> as its input and somehow extracts the last three arguments (
<I>nattributes
</I>,
<I> names
</I> and
<I> values
</I>) needed by your C
function. Let's start with the basics:
</P><PRE>%typemap(in) (int nattributes, const char **names, const int *values)
<BR> (VALUE keys_arr, int i, VALUE key, VALUE val) {
<P> This
<TT>%typemap
</TT> directive tells SWIG that we want to match
any function declaration that has the specified types and names of
arguments somewhere in the argument list. The fact that we specified
the argument names (
<I>nattributes
</I>,
<I> names
</I> and
<I> values
</I>)
in our typemap is significant; this ensures that SWIG won't try to
apply this typemap to
<I> other
</I> functions it sees that happen to
have a similar declaration with different argument names. The arguments
that appear in the second set of parentheses (
<I>keys_arr
</I>,
<I> i
</I>,
<I> key
</I> and
<I> val
</I>) define local variables that our typemap
<P>Since we expect the input argument to be a
<TT>Hash
</TT>, let's next
add a check for that:
</P><PRE>%typemap(in) (int nattributes, const char **names, const int *values)
<BR> (VALUE keys_arr, int i, VALUE key, VALUE val) {
<BR> <B>Check_Type($input, T_HASH);
</B>
<P> <TT>Check_Type()
</TT> is just a macro (defined in the Ruby header
files) that confirms that the input argument is of the correct type; if
it isn't, an exception will be raised.
</P><P>The next task is to determine how many key-value pairs are present in
the hash; we'll assign this number to the first typemap argument (
<TT>$
1</TT>). This is a little tricky since the Ruby/C API doesn't provide a
public function for querying the size of a hash, but we can get around
that by calling the hash's
<I> size
</I> method directly and converting
its result to a C
<TT>int
</TT> value:
</P><PRE>%typemap(in) (int nattributes, const char **names, const int *values)
<BR> (VALUE keys_arr, int i, VALUE key, VALUE val) {
<BR> Check_Type($input, T_HASH);
<BR> <B>$
1 = NUM2INT(rb_funcall($input, rb_intern(
"size
"),
0, NULL));
</B>
<P> So now we know the number of attributes. Next we need to initialize
the second and third typemap arguments (i.e. the two C arrays) to
<TT>NULL
</TT> and set the stage for extracting the keys and values from the
<PRE>%typemap(in) (int nattributes, const char **names, const int *values)
<BR> (VALUE keys_arr, int i, VALUE key, VALUE val) {
<BR> Check_Type($input, T_HASH);
<BR> $
1 = NUM2INT(rb_funcall($input, rb_intern(
"size
"),
0, NULL));
<BR> $
2 = (char **) malloc($
1*sizeof(char *));
<BR> $
3 = (int *) malloc($
1*sizeof(int));
<P> There are a number of ways we could extract the keys and values from
the input hash, but the simplest approach is to first call the hash's
<I> keys
</I> method (which returns a Ruby array of the keys) and then start
looping over the elements in that array:
</P><PRE>%typemap(in) (int nattributes, const char **names, const int *values)
<BR> (VALUE keys_arr, int i, VALUE key, VALUE val) {
<BR> Check_Type($input, T_HASH);
<BR> $
1 = NUM2INT(rb_funcall($input, rb_intern(
"size
"),
0, NULL));
<BR> $
2 = (char **) malloc($
1*sizeof(char *));
<BR> $
3 = (int *) malloc($
1*sizeof(int));
<BR> <B>keys_arr = rb_funcall($input, rb_intern(
"keys
"),
0, NULL);
<BR> for (i =
0; i
< $
1; i++) {
<P> Recall that
<I> keys_arr
</I> and
<I> i
</I> are local variables for
this typemap. For each element in the
<I> keys_arr
</I> array, we want to
get the key itself, as well as the value corresponding to that key in
<PRE>%typemap(in) (int nattributes, const char **names, const int *values)
<BR> (VALUE keys_arr, int i, VALUE key, VALUE val) {
<BR> Check_Type($input, T_HASH);
<BR> $
1 = NUM2INT(rb_funcall($input, rb_intern(
"size
"),
0, NULL));
<BR> $
2 = (char **) malloc($
1*sizeof(char *));
<BR> $
3 = (int *) malloc($
1*sizeof(int));
<BR> keys_arr = rb_funcall($input, rb_intern(
"keys
"),
0, NULL);
<BR> for (i =
0; i
< $
1; i++) {
<BR> <B>key = rb_ary_entry(keys_arr, i);
<BR> val = rb_hash_aref($input, key);
</B>
<P> To be safe, we should again use the
<TT>Check_Type()
</TT> macro to
confirm that the key is a
<TT>String
</TT> and the value is a
<TT>Fixnum
</TT><PRE>%typemap(in) (int nattributes, const char **names, const int *values)
<BR> (VALUE keys_arr, int i, VALUE key, VALUE val) {
<BR> Check_Type($input, T_HASH);
<BR> $
1 = NUM2INT(rb_funcall($input, rb_intern(
"size
"),
0, NULL));
<BR> $
2 = (char **) malloc($
1*sizeof(char *));
<BR> $
3 = (int *) malloc($
1*sizeof(int));
<BR> keys_arr = rb_funcall($input, rb_intern(
"keys
"),
0, NULL);
<BR> for (i =
0; i
< $
1; i++) {
<BR> key = rb_ary_entry(keys_arr, i);
<BR> val = rb_hash_aref($input, key);
<BR> <B>Check_Type(key, T_STRING);
<BR> Check_Type(val, T_FIXNUM);
</B>
<P> Finally, we can convert these Ruby objects into their C equivalents
and store them in our local C arrays:
</P><PRE>%typemap(in) (int nattributes, const char **names, const int *values)
<BR> (VALUE keys_arr, int i, VALUE key, VALUE val) {
<BR> Check_Type($input, T_HASH);
<BR> $
1 = NUM2INT(rb_funcall($input, rb_intern(
"size
"),
0, NULL));
<BR> $
2 = (char **) malloc($
1*sizeof(char *));
<BR> $
3 = (int *) malloc($
1*sizeof(int));
<BR> keys_arr = rb_funcall($input, rb_intern(
"keys
"),
0, NULL);
<BR> for (i =
0; i
< $
1; i++) {
<BR> key = rb_ary_entry(keys_arr, i);
<BR> val = rb_hash_aref($input, key);
<BR> Check_Type(key, T_STRING);
<BR> Check_Type(val, T_FIXNUM);
<BR> <B>$
2[i] = STR2CSTR(key);
<BR> $
3[i] = NUM2INT(val);
</B>
<P> We're not done yet. Since we used
<TT>malloc()
</TT> to dynamically
allocate the memory used for the
<I> names
</I> and
<I> values
</I> arguments, we need to provide a corresponding
"freearg
" typemap to free
that memory so that there is no memory leak. Fortunately, this typemap
is a lot easier to write:
</P><PRE>%typemap(freearg) (int nattributes, const char **names, const int *values) {
<P> All of the code for this example, as well as a sample Ruby program
that uses the extension, can be found in the
<TT>Examples/ruby/hashargs
</TT> directory of the SWIG distribution.
</P><H3><A name=
"Ruby_nn42"></A>27.5.8 Pointer handling
</H3>
<P> Occasionally, it might be necessary to convert pointer values that
have been stored using the SWIG typed-pointer representation. Since
there are several ways in which pointers can be represented, the
following two functions are used to safely perform this conversion:
</P><P><TT>int SWIG_ConvertPtr(VALUE obj, void **ptr, swig_type_info *ty,
<DIV class=
"indent">Converts a Ruby object
<I> obj
</I> to a C pointer
whose address is
<I> ptr
</I> (i.e.
<I> ptr
</I> is a pointer to a
pointer). The third argument,
<I> ty
</I>, is a pointer to a SWIG type
descriptor structure. If
<I> ty
</I> is not
<TT>NULL
</TT>, that type
information is used to validate type compatibility and other aspects of
the type conversion. If
<I> flags
</I> is non-zero, any type errors
encountered during this validation result in a Ruby
<TT>TypeError
</TT> exception being raised; if
<I> flags
</I> is zero, such type errors will
cause
<TT>SWIG_ConvertPtr()
</TT> to return -
1 but not raise an
exception. If
<I> ty
</I> is
<TT>NULL
</TT>, no type-checking is
<P> <TT>VALUE SWIG_NewPointerObj(void *ptr, swig_type_info *ty, int own)
</TT>
<DIV class=
"indent">Creates a new Ruby pointer object. Here,
<I> ptr
</I>
is the pointer to convert,
<I> ty
</I> is the SWIG type descriptor
structure that describes the type, and
<I> own
</I> is a flag that
indicates whether or not Ruby should take ownership of the pointer
(i.e. whether Ruby should free this data when the corresponding Ruby
instance is garbage-collected).
</DIV><P> Both of these functions require the use of a special SWIG
type-descriptor structure. This structure contains information about
the mangled name of the datatype, type-equivalence information, as well
as information about converting pointer values under C++ inheritance.
For a type of
<TT>Foo *
</TT>, the type descriptor structure is usually
<BR>SWIG_ConvertPtr($input, (void **)
&foo, SWIGTYPE_p_Foo,
1);
<BR>obj = SWIG_NewPointerObj(f, SWIGTYPE_p_Foo,
0);
<P> In a typemap, the type descriptor should always be accessed using
the special typemap variable
<TT>$
1_descriptor
</TT>. For example:
</P><PRE>%typemap(in) Foo * {
<BR> SWIG_ConvertPtr($input, (void **)
&$
1, $
1_descriptor,
1);
<H4><A name=
"Ruby_nn43"></A>27.5.8.1 Ruby Datatype Wrapping
</H4>
<P> <TT>VALUE Data_Wrap_Struct(VALUE class, void (*mark)(void *), void
(*free)(void *), void *ptr)
</TT></P><DIV class=
"indent">Given a pointer
<I> ptr
</I> to some C data, and the
two garbage collection routines for this data (
<I>mark
</I> and
<I> free
</I>), return a
<TT>VALUE
</TT> for the Ruby object.
</DIV><P><TT>VALUE Data_Make_Struct(VALUE class,
<I> c-type
</I>, void
(*mark)(void *), void (*free)(void *),
<I> c-type
</I> *ptr)
</TT></P><DIV class=
"indent">Allocates a new instance of a C data type
<I> c-type
</I>
, assigns it to the pointer
<I> ptr
</I>, then wraps that pointer with
<TT>Data_Wrap_Struct()
</TT> as above.
</DIV><P><TT>Data_Get_Struct(VALUE obj,
<I> c-type
</I>,
<I> c-type
</I> *ptr)
</TT>
<DIV class=
"indent">Retrieves the original C pointer of type
<I> c-type
</I>
from the data object
<I> obj
</I> and assigns that pointer to
<I> ptr
</I>.
</DIV><H2><A name=
"ruby_operator_overloading"></A>27.6 Operator overloading
</H2>
<P> SWIG allows operator overloading with, by using the
<TT>%extend
</TT>
or
<TT>%rename
</TT> commands in SWIG and the following operator names
(derived from Python):
</P><BR>__nonzero__ - nonzero?
<BR>__lshift__ -
<<
<BR>__rshift__ -
>>
<BR><B>Additions in
1.3.13 </B>
<P> Note that although SWIG supports the
<TT>__eq__
</TT> magic method
name for defining an equivalence operator, there is no separate method
for handling
<I> inequality
</I> since Ruby parses the expression
<I> a !=
b
</I> as
<I> !(a == b)
</I>.
</P><H3><A name=
"Ruby_nn45"></A>27.6.1 Example: STL Vector to Ruby Array
</H3>
<P><EM><B> FIXME: This example is out of place here!
</B></EM></P>
<P>Another use for macros and type maps is to create a Ruby array from a
STL vector of pointers. In essence, copy of all the pointers in the
vector into a Ruby array. The use of the macro is to make the typemap
so generic that any vector with pointers can use the type map. The
following is an example of how to construct this type of macro/typemap
and should give insight into constructing similar typemaps for other
<PRE>%define PTR_VECTOR_TO_RUBY_ARRAY(vectorclassname, classname)
<BR>%typemap(ruby, out) vectorclassname
&, const vectorclassname
& {
<BR> VALUE arr = rb_ary_new2($
1-
>size());
<BR> vectorclassname::iterator i = $
1-
>begin(), iend = $
1-
>end();
<BR> for ( ; i!=iend; i++ )
<BR> rb_ary_push(arr, Data_Wrap_Struct(c ## classname.klass,
0,
0, *i));
<BR>%typemap(ruby, out) vectorclassname, const vectorclassname {
<BR> VALUE arr = rb_ary_new2($
1.size());
<BR> vectorclassname::iterator i = $
1.begin(), iend = $
1.end();
<BR> for ( ; i!=iend; i++ )
<BR> rb_ary_push(arr, Data_Wrap_Struct(c ## classname.klass,
0,
0, *i));
<P> Note, that the
"<TT>c ## classname.klass
"</TT> is used in the
preprocessor step to determine the actual object from the class name.
</P><P>To use the macro with a class Foo, the following is used:
</P>
<PRE>PTR_VECTOR_TO_RUBY_ARRAY(vector
<foo *=
"">, Foo)
<P> It is also possible to create a STL vector of Ruby objects:
</P>
<PRE>%define RUBY_ARRAY_TO_PTR_VECTOR(vectorclassname, classname)
<BR>%typemap(ruby, in) vectorclassname
&, const vectorclassname
& {
<BR> Check_Type($input, T_ARRAY);
<BR> vectorclassname *vec = new vectorclassname;
<BR> int len = RARRAY($input)-
>len;
<BR> for (int i=
0; i!=len; i++) {
<BR> VALUE inst = rb_ary_entry($input, i);
<BR> //The following _should_ work but doesn't on HPUX
<BR> // Check_Type(inst, T_DATA);
<BR> classname *element = NULL;
<BR> Data_Get_Struct(inst, classname, element);
<BR> vec-
>push_back(element);
<BR>%typemap(ruby, freearg) vectorclassname
&, const vectorclassname
& {
<P> It is also possible to create a Ruby array from a vector of static
<PRE>%define VECTOR_TO_RUBY_ARRAY(vectorclassname, classname)
<BR>%typemap(ruby, out) vectorclassname
&, const vectorclassname
& {
<BR> VALUE arr = rb_ary_new2($
1-
>size());
<BR> vectorclassname::iterator i = $
1-
>begin(), iend = $
1-
>end();
<BR> for ( ; i!=iend; i++ )
<BR> rb_ary_push(arr, Data_Wrap_Struct(c ## classname.klass,
0,
0,
&(*i)));
<BR>%typemap(ruby, out) vectorclassname, const vectorclassname {
<BR> VALUE arr = rb_ary_new2($
1.size());
<BR> vectorclassname::iterator i = $
1.begin(), iend = $
1.end();
<BR> for ( ; i!=iend; i++ )
<BR> rb_ary_push(arr, Data_Wrap_Struct(c ## classname.klass,
0,
0,
&(*i)));
<H2><A name=
"Ruby_nn46"></A>27.7 Advanced Topics
</H2>
<H3><A name=
"Ruby_nn47"></A>27.7.1 Creating Multi-Module Packages
</H3>
<P> The chapter on
<A href=
"Modules.html">Working with Modules
</A>
discusses the basics of creating multi-module extensions with SWIG, and
in particular the considerations for sharing runtime type information
among the different modules.
</P><P>As an example, consider one module's interface file (
<TT>shape.i
</TT>
) that defines our base class:
</P><BR>#include
"Shape.h
"
<BR> Shape(double x, double y);
<BR> double getX() const;
<BR> double getY() const;
<P> We also have a separate interface file (
<TT>circle.i
</TT>) that
defines a derived class:
</P><BR>#include
"Shape.h
"
<BR>#include
"Circle.h
"
<BR>// Import the base class definition from Shape module
<BR>class Circle : public Shape {
<BR> Circle(double x, double y, double r);
<BR> double getRadius() const;
<P> We'll start by building the
<B> Shape
</B> extension module:
</P>
<PRE>$
<B>swig -c++ -ruby shape.i
</B>
<P> SWIG generates a wrapper file named
<TT>shape_wrap.cxx
</TT>. To
compile this into a dynamically loadable extension for Ruby, prepare an
<TT>extconf.rb
</TT> script using this template:
</P>
<BR># Since the SWIG runtime support library for Ruby
<BR># depends on the Ruby library, make sure it's in the list
<BR>$libs = append_library($libs, Config::CONFIG['RUBY_INSTALL_NAME'])
<BR># Create the makefile
<BR>create_makefile('shape')
<P> Run this script to create a
<TT>Makefile
</TT> and then type
<TT>make
</TT>
to build the shared library:
</P><PRE>$
<B>ruby extconf.rb
</B>
<BR>g++ -fPIC -g -O2 -I. -I/usr/local/lib/ruby/
1.7/i686-linux \
<BR>-I. -c shape_wrap.cxx
<BR>gcc -shared -L/usr/local/lib -o shape.so shape_wrap.o -L. \
<P> Note that depending on your installation, the outputs may be
slightly different; these outputs are those for a Linux-based
development environment. The end result should be a shared library
(here,
<TT>shape.so
</TT>) containing the extension module code. Now
repeat this process in a separate directory for the
<B> Circle
</B><LI> Run SWIG to generate the wrapper code (
<TT>circle_wrap.cxx
</TT>);
</LI>
<LI> Write an
<TT>extconf.rb
</TT> script that your end-users can use to
create a platform-specific
<TT>Makefile
</TT> for the extension;
</LI><LI> Build the shared library for this extension by typing
<TT>make
</TT>
<P> Once you've built both of these extension modules, you can test them
interactively in IRB to confirm that the
<TT>Shape
</TT> and
<TT>Circle
</TT> modules are properly loaded and initialized:
</P><BR>irb(main):
001:
0> <B>require 'shape'
</B>
<BR>irb(main):
002:
0> <B>require 'circle'
</B>
<BR>irb(main):
003:
0> <B>c = Circle::Circle.new(
5,
5,
20)
</B>
<BR>#
<Circle::Circle:
0xa097208>
<BR>irb(main):
004:
0> <B>c.kind_of? Shape::Shape
</B>
<BR>irb(main):
005:
0> <B>c.getX()
</B>
<H3><A name=
"Ruby_nn48"></A>27.7.2 Defining Aliases
</H3>
<P> It's a fairly common practice in the Ruby built-ins and standard
library to provide aliases for method names. For example,
<EM> Array#size
</EM> is an alias for
<EM> Array#length
</EM>. If you'd like to
provide an alias for one of your class' instance methods, one approach
is to use SWIG's
<TT>%extend
</TT> directive to add a new method of the
aliased name that calls the original function. For example:
</P><BR> // Construct an empty array
<BR> // Return the size of this array
<BR> size_t length() const;
<BR> // MyArray#size is an alias for MyArray#length
<BR> size_t size() const {
<BR> return self-
>length();
<P> A better solution is to instead use the
<TT>%alias
</TT> directive
(unique to SWIG's Ruby module). The previous example could then be
<PRE>// MyArray#size is an alias for MyArray#length
<BR>%alias MyArray::length
"size
";
<BR> // Construct an empty array
<BR> // Return the size of this array
<BR> size_t length() const;
<P> Multiple aliases can be associated with a method by providing a
comma-separated list of aliases to the
<TT>%alias
</TT> directive, e.g.
</P><PRE>%alias MyArray::length
"amount,quantity,size
";
</PRE>
<P> From an end-user's standpoint, there's no functional difference
between these two approaches; i.e. they should get the same result from
calling either
<EM> MyArray#size
</EM> or
<EM> MyArray#length
</EM>.
However, when the
<TT>%alias
</TT> directive is used, SWIG doesn't need
to generate all of the wrapper code that's usually associated with
added methods like our
<EM> MyArray::size()
</EM> example.
</P><P>Note that the
<TT>%alias
</TT> directive is implemented using SWIG's
"features
" mechanism and so the same name matching rules used for other
kinds of features apply (see the chapter on
<A href=
"#Customization">"Customization Features
"</A>) for more details).
</P>
<H3><A name=
"Ruby_nn49"></A>27.7.3 Predicate Methods
</H3>
<P> Predicate methods in Ruby are those which return either
<TT>true
</TT>
or
<TT>false
</TT>. By convention, these methods' names end in a
question mark; some examples from built-in Ruby classes include
<EM> Array#empty?
</EM> (which returns
<TT>true
</TT> for an array containing
no elements) and
<EM> Object#instance_of?
</EM> (which returns
<TT>true
</TT> if the object is an instance of the specified class). For consistency
with Ruby conventions you would also want your interface's predicate
methods' names to end in a question mark and return
<TT>true
</TT> or
<TT><P>One cumbersome solution to this problem is to rename the method
(using SWIG's
<TT>%rename
</TT> directive) and provide a custom typemap
that converts the function's actual return type to Ruby's
<TT>true
</TT> or
<TT>false
</TT>. For example:
</P><PRE>%rename(
"is_it_safe?
") is_it_safe();
<BR>%typemap(out) int is_it_safe
<BR> "$result = ($
1 !=
0) ? Qtrue : Qfalse;
";
<P> A better solution is to instead use the
<TT>%predicate
</TT>
directive (unique to SWIG's Ruby module) to designate certain methods
as predicate methods. For the previous example, this would look like:
</P><PRE>%predicate is_it_safe();
<P>and to use this method from your Ruby code:
</P>
<PRE>irb(main):
001:
0> <B>Example::is_it_safe?
</B>
<P> Note that the
<TT>%predicate
</TT> directive is implemented using
SWIG's
"features
" mechanism and so the same name matching rules used
for other kinds of features apply (see the chapter on
<A href=
"#Customization">"Customization Features
"</A>) for more details).
</P>
<H3><A name=
"Ruby_nn50"></A>27.7.4 Specifying Mixin Modules
</H3>
<P> The Ruby language doesn't support multiple inheritance, but it does
allow you to mix one or more modules into a class using Ruby's
<TT>include
</TT> method. For example, if you have a Ruby class that defines
an
<EM> each
</EM> instance method, e.g.
</P><BR> @members.each { |m| yield m }
<P> then you can mix-in Ruby's
<TT>Enumerable
</TT> module to easily add
a lot of functionality to your class:
</P><BR> <B>include Enumerable
</B>
<BR>@members.each { |m| yield m }
<P> To get the same benefit for your SWIG-wrapped classes, you can use
the
<TT>%mixin
</TT> directive to specify the names of one or more
modules that should be mixed-in to a class. For the above example, the
SWIG interface specification might look like this:
</P><PRE>%mixin Set
"Enumerable
";
<BR> // Iterates through set members
<P> Multiple modules can be mixed into a class by providing a
comma-separated list of module names to the
<TT>%mixin
</TT> directive,
<PRE>%mixin Set
"Fee,Fi,Fo,Fum
";
</PRE>
<P> Note that the
<TT>%mixin
</TT> directive is implemented using SWIG's
"features
" mechanism and so the same name matching rules used for other
kinds of features apply (see the chapter on
<A href=
"#Customization">"Customization Features
"</A>) for more details).
</P>
<H2><A name=
"Ruby_nn51"></A>27.8 Memory Management
</H2>
<P>One of the most common issues in generating SWIG bindings for Ruby is
proper memory management. The key to proper memory management is
clearly defining whether a wrapper Ruby object owns the underlying C
struct or C++ class. There are two possibilities:
</P><LI> The Ruby object is responsible for freeing the C struct or C++
<LI> The Ruby object should not free the C struct or C++ object because
it will be freed by the underlying C or C++ code
</LI><P>To complicate matters, object ownership may transfer from Ruby to C++
(or vice versa) depending on what function or methods are invoked.
Clearly, developing a SWIG wrapper requires a thorough understanding of
how the underlying library manages memory.
</P><H3><A id=
"Ruby_nn52" name=
"Ruby_nn52"></A>27.9.1 Mark and Sweep Garbage
<P>Ruby uses a mark and sweep garbage collector. When the garbage
collector runs, it finds all the
"root
" objects, including local
variables, global variables, global constants, hardware registers and
the C stack. For each root object, the garbage collector sets its mark
flag to true and calls
<TT>rb_gc_mark
</TT> on the object. The job of
<TT>rb_gc_mark
</TT> is to recursively mark all the objects that a Ruby
object has a reference to (ignoring those objects that have already
been marked). Those objects, in turn, may reference other objects. This
process will continue until all active objects have been
"marked.
" After the mark phase comes the sweep phase. In the sweep phase, all
objects that have not been marked will be garbage collected. For more
information about the Ruby garbage collector please refer to
<A href=
"http://rubygarden.org/ruby/ruby?GCAndExtensions"><!--span style="text-decoration: underline;"-->
http://rubygarden.org/ruby/ruby?GCAndExtensions
</A>.
</P><P>The Ruby C/API provides extension developers two hooks into the
garbage collector - a
"mark
" function and a
"sweep
" function. By
default these functions are set to NULL.
</P><P>If a C struct or C++ class references any other Ruby objects, then it
must provide a
"mark
" function. The
"mark
" function should identify any
referenced Ruby objects by calling the rb_gc_mark function for each
one. Unsurprisingly, this function will be called by the Ruby garbage
during the
"mark
" phase.
</P><P>During the sweep phase, Ruby destroys any unused objects. If any
memory has been allocated in creating the underlying C struct or C++
struct, then a
"free
" function must be defined that deallocates this
<H3><A name=
"Ruby_nn53"></A>27.8.1 Object Ownership
</H3>
<P>As described above, memory management depends on clearly defining who
is responsible for freeing the underlying C struct or C++ class. If the
Ruby object is responsible for freeing the C++ object, then a
"free
" function must be registered for the object. If the Ruby object is not
responsible for freeing the underlying memory, then a
"free
" function
must not be registered for the object.
</P><P>For the most part, SWIG takes care of memory management issues. The
<LI> When calling a C++ object's constructor from Ruby, SWIG will assign
a
"free
" function thereby making the Ruby object responsible for
freeing the C++ object
</LI><LI> When calling a C++ member function that returns a pointer, SWIG
will not assign a
"free
" function thereby making the underlying library
responsible for freeing the object.
</LI><P>To make this clearer, let's look at an example. Assume we have a Foo
<PRE>/* File
"RubyOwernshipExample.h
" */
<BR> Bar(): foo_(new Foo) {}
<BR> ~Bar() { delete foo_; }
<BR> Foo* get_foo() { return foo_; }
<BR> Foo* get_new_foo() { return new Foo; }
<BR> void set_foo(Foo *foo) { delete foo_; foo_ = foo; }
<P>First, consider this Ruby code:
</P>
<P>In this case, the Ruby code calls the underlying
<TT>Foo
</TT> C++
constructor, thus creating a new
<TT>foo
</TT> object. By default, SWIG
will assign the new Ruby object a
"free
" function. When the Ruby object
is garbage collected, the
"free
" function will be called. It in turn
will call
<TT>Foo's
</TT> destructor.
</P><P>Next, consider this code:
</P>
<BR>foo = bar.get_foo()
</PRE>
<P>In this case, the Ruby code calls a C++ member function,
<TT>get_foo
</TT>
. By default, SWIG will not assign the Ruby object a
"free
" function.
Thus, when the Ruby object is garbage collected the underlying C++
<TT>foo
</TT> object is not affected.
</P><P>Unfortunately, the real world is not as simple as the examples above.
<BR>foo = bar.get_new_foo()
</PRE>
<P>In this case, the default SWIG behavior for calling member functions
is incorrect. The Ruby object should assume ownership of the returned
object. This can be done by using the %newobject directive. See
<A href=
"#ownership"> Object ownership and %newobject
</A> for more information.
</P><P>The SWIG default mappings are also incorrect in this case:
</P>
<BR>bar.set_foo(foo)
</PRE>
<P>Without modification, this code will cause a segmentation fault. When
the Ruby
<TT>foo
</TT> object goes out of scope, it will free the
underlying C++
<TT>foo
</TT> object. However, when the Ruby bar object
goes out of scope, it will call the C++ bar destructor which will also
free the C++
<TT>foo
</TT> object. The problem is that object ownership
is transferred from the Ruby object to the C++ object when the
<TT>set_foo
</TT> method is called. This can be done by using the special
DISOWN type map, which was added to the Ruby bindings in SWIG-
1.3.26.
</P><P>Thus, a correct SWIG interface file correct mapping for these classes
<PRE>/* File RubyOwnershipExample.i */
<BR>%module RubyOwnershipExample
<BR>#include
"RubyOwnershipExample.h
"
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
%apply SWIGTYPE *DISOWN {Foo *foo};
<BR> void set_foo(Foo *foo);
<!--span style="font-weight: bold;"-->
<P> This code can be seen in swig/examples/ruby/tracking.
</P>
<H3><A name=
"Ruby_nn54"></A>27.8.2 Object Tracking
</H3>
<P>The remaining parts of this section will use the class library shown
below to illustrate different memory management techniques. The class
library models a zoo and the animals it contains.
</P><BR>#include
<string
>
<BR>#include
<vector
>
<BR>#include
"zoo.h
"
<BR> typedef std::vector
<Animal*
> AnimalsType;
<BR> typedef AnimalsType::iterator IterType;
<BR> AnimalsType animals;
<BR> // Construct an animal with this name
<BR> Animal(const char* name) : name_(name) {}
<BR> // Return the animal's name
<BR> const char* get_name() const { return name.c_str(); }
<BR> std::vector
<animal *=
""> animals;
<BR> // Construct an empty zoo
<BR> /* Create a new animal. */
<BR> static Animal* Zoo::create_animal(const char* name)
<BR> return new Animal(name);
<BR> // Add a new animal to the zoo
<BR> void add_animal(Animal* animal) {
<BR> animals.push_back(animal);
<BR> Animal* remove_animal(size_t i) {
<BR> Animal* result = this-
>animals[i];
<BR> IterType iter = this-
>animals.begin();
<BR> std::advance(iter, i);
<BR> this-
>animals.erase(iter);
<BR> // Return the number of animals in the zoo
<BR> size_t get_num_animals() const {
<BR> return animals.size();
<BR> // Return a pointer to the ith animal
<BR> Animal* get_animal(size_t i) const {
<P>Let's say you SWIG this code and then run IRB:
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
tiger1 = Example::Animal.new(
"tiger1
")
<BR>=
> #
<Example::Animal:
0x2be3820>
<!--span style="font-weight: bold;"-->
<BR>=
> "tiger1
"
<!--span style="font-weight: bold;"-->
<BR>=
> #
<Example::Zoo:
0x2be0a60>
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
tiger2 = zoo.remove_animal(
0)
<BR>=
> #
<Example::Animal:
0x2bd4a18>
<!--span style="font-weight: bold;"-->
<BR>=
> "tiger1
"
<!--span style="font-weight: bold;"-->
<P>Pay particular attention to the code
<TT>tiger1.equal?(tiger2)
</TT>.
Note that the two Ruby objects are not the same - but they reference
the same underlying C++ object. This can cause problems. For example:
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<BR>(irb):
12: [BUG] Segmentation fault
<P>After the the garbage collector runs, as a result of our call to
<TT>
GC.start
</TT>, calling
<TT>tiger2.get_name()
</TT> causes a segmentation
fault. The problem is that when
<TT>tiger1
</TT> is garbage collected,
it frees the underlying C++ object. Thus, when
<TT>tiger2
</TT> calls
the
<TT>get_name()
</TT> method it invokes it on a destroyed object.
</P><P>This problem can be avoided if SWIG enforces a one-to-one mapping
between Ruby objects and C++ classes. This can be done via the use of
the
<TT>%trackobjects
</TT> functionality available in SWIG-
1.3.26. and
<P>When the
<TT>%trackobjects
</TT> is turned on, SWIG automatically
keeps track of mappings between C++ objects and Ruby objects. Note that
enabling object tracking causes a slight performance degradation. Test
results show this degradation to be about
3% to
5% when creating and
destroying
100,
000 animals in a row.
</P><P>Since
<TT>%trackobjects
</TT> is implemented as a
<TT>%feature
</TT>,
it uses the same name matching rules as other kinds of features (see
the chapter on
<A href=
"#Customization"> "Customization Features
"</A>)
. Thus it can be applied on a class-by-class basis if needed. To fix
<BR>#include
"example.h
"
<!--span style="font-weight: bold;"-->
/* Tell SWIG that create_animal creates a new object */
<!--span style="font-weight: bold;"-->
%newobject Zoo::create_animal;
<!--span style="font-weight: bold;"-->
/* Tell SWIG to keep track of mappings between C/C++ structs/classes. */
<BR style=
"font-weight: bold;">
<!--span style="font-weight: bold;"-->
<BR>%include
"example.h
"</PRE>
<P>When this code runs we see:
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
tiger1 = Example::Animal.new(
"tiger1
")
<BR>=
> #
<Example::Animal:
0x2be37d8>
<!--span style="font-weight: bold;"-->
<BR>=
> #
<Example::Zoo:
0x2be0a18>
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
tiger2 = zoo.remove_animal(
0)
<BR>=
> #
<Example::Animal:
0x2be37d8>
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<BR>=
> "tiger1
"
<P>For those who are interested, object tracking is implemented by
storing Ruby objects in a hash table and keying them on C++ pointers.
<PRE>static void SWIG_RubyAddTracking(void* ptr, VALUE object);
<BR>static VALUE SWIG_RubyInstanceFor(void* ptr) ;
<BR>static void SWIG_RubyRemoveTracking(void* ptr);
<BR>static void SWIG_RubyUnlinkObjects(void* ptr);
</PRE>
<P>When an object is created, SWIG will automatically call the
<TT>
SWIG_RubyAddTracking
</TT> method. Similarly, when an object is deleted,
SWIG will call the
<TT>SWIG_RubyRemoveTracking
</TT>. When an object is
returned to Ruby from C++, SWIG will use the
<TT>SWIG_RubyInstanceFor
</TT> method to ensure a one-to-one mapping from Ruby to C++ objects. Last,
the
<TT>RubyUnlinkObjects
</TT> method unlinks a Ruby object from its
underlying C++ object.
</P><P>In general, you will only need to use the
<TT>SWIG_RubyInstanceFor
</TT>
, which is required for implementing mark functions as shown below.
However, if you implement your own free functions (see below) you may
also have to call the
<TT>SWIG_RubyRemoveTracking
</TT> and
<TT>RubyUnlinkObjects
</TT> methods.
</P><H3><A name=
"Ruby_nn55"></A>27.8.3 Mark Functions
</H3>
<P>With a bit more testing, we see that our class library still has
<!--span style="font-weight: bold;"-->
<BR>irb(main):
002:
0> tiger1 =
<!--span style="font-weight: bold;"-->
Example::Animal.new(
"tiger1
")
<BR>=
> #
<Example::Animal:
0x2bea6a8>
<BR>irb(main):
003:
0> zoo =
<!--span style="font-weight: bold;"-->
<BR>=
> #
<Example::Zoo:
0x2be7960>
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
tiger2 = zoo.get_animal(
0)
<BR>(irb):
12: [BUG] Segmentation fault
</PRE>
<P>The problem is that Ruby does not know that the
<TT>zoo
</TT> object
contains a reference to a Ruby object. Thus, when Ruby garbage collects
<!--span style="font-family: monospace;"-->
tiger1 it frees the underlying C++ object.
</P><P>This can be fixed by implementing a
<TT>mark
</TT> function as
described above in the
<A href=
"#Ruby_nn52">Mark and Sweep Garbage
Collector
</A> section. You can specify a mark function by using the
<TT>%markfunc
</TT> directive. Since the
<TT>%markfunc
</TT> directive is
implemented using SWIG's'
"features
" mechanism it uses the same name
matching rules as other kinds of features (see the chapter on
<A href=
"#Customization">"Customization Features
"</A> for more details).
</P>
<P>A
<TT>mark
</TT> function takes a single argument, which is a pointer
to the C++ object being marked; it should, in turn, call
<TT>rb_gc_mark()
</TT> for any instances that are reachable from the current
object. The mark function for our
<TT> Zoo
</TT> class should therefore
loop over all of the C++ animal objects in the zoo object, look up
their Ruby object equivalent, and then call
<TT>rb_gc_mark()
</TT>. One
possible implementation is:
</P><BR>#include
"example.h
"
<BR>/* Keep track of mappings between C/C++ structs/classes
<BR> and Ruby objects so we can implement a mark function. */
<!--span style="font-weight: bold;"-->
<BR>/* Specify the mark function */
<!--span style="font-weight: bold;"-->
%markfunc Zoo
"mark_Zoo
";
<BR>%include
"example.h
"
<BR>static void mark_Zoo(void* ptr) {
<BR> Zoo* zoo = (Zoo*) ptr;
<BR> /* Loop over each object and tell the garbage collector
<BR> that we are holding a reference to them. */
<BR> int count = zoo-
>get_num_animals();
<BR> for(int i =
0; i
< count; ++i) {
<BR> Animal* animal = zoo-
>get_animal(i);
<BR> VALUE object = SWIG_RubyInstanceFor(animal);
<BR> if (object != Qnil) {
<P> Note the
<TT>mark
</TT> function is dependent on the
<TT>
SWIG_RUBY_InstanceFor
</TT> method, and thus requires that
<TT>%trackobjects
</TT> is enabled. For more information, please refer to the
track_object.i test case in the SWIG test suite.
</P><P>When this code is compiled we now see:
</P>
<BR></B>irb(main):
002:
0>
<!--span style="font-weight: bold;"-->
tiger1=Example::Animal.new(
"tiger1
")
<BR>=
> #
<Example::Animal:
0x2be3bf8>
<!--span style="font-weight: bold;"-->
<BR>=
> #
<Example::Zoo:
0x2be1780>
<!--span style="font-weight: bold;"-->
<BR>=
> #
<Example::Zoo:
0x2bde9c0>
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
tiger2 = zoo.get_animal(
0)
<BR>=
> #
<Example::Animal:
0x2be3bf8>
<!--span style="font-weight: bold;"-->
<BR>=
> "tiger1
"
<P>This code can be seen in swig/examples/ruby/mark_function.
</P>
<H3><A name=
"Ruby_nn56"></A>27.8.4 Free Functions
</H3>
<P>By default, SWIG creates a
"free
" function that is called when a Ruby
object is garbage collected. The free function simply calls the C++
<P>However, sometimes an appropriate destructor does not exist or
special processing needs to be performed before the destructor is
called. Therefore, SWIG allows you to manually specify a
"free
" function via the use of the
<TT>%freefunc
</TT> directive. The
<TT>%freefunc
</TT> directive is implemented using SWIG's'
"features
" mechanism and so the same name matching rules used for other kinds of
features apply (see the chapter on
<A href=
"#Customization">"Customization Features
"</A>) for more details).
</P>
<P>IMPORTANT ! - If you define your own free function, then you must
ensure that you call the underlying C++ object's destructor. In
addition, if object tracking is activated for the object's class, you
must also call the
<TT>SWIG_RubyRemoveTracking
</TT> function (of course
call this before you destroy the C++ object). Note that it is harmless
to call this method if object tracking if off so it is advised to
<P>Note there is a subtle interaction between object ownership and free
functions. A custom defined free function will only be called if the
Ruby object owns the underlying C++ object. This also to Ruby objects
which are created, but then transfer ownership to C++ objects via the
use of the
<TT>disown
</TT> typemap described above.
</P><P>To show how to use the
<TT>%freefunc
</TT> directive, let's slightly
change our example. Assume that the zoo object is responsible for
freeing animal that it contains. This means that the
<!--span style="font-family: monospace;"-->
Zoo::add_animal function should be marked with a
<!--span style="font-family: monospace;"-->
DISOWN typemap and the destructor should be updated as below::
</P><BR> IterType iter = this-
>animals.begin();
<BR> IterType end = this-
>animals.end();
<BR> for(iter; iter != end; ++iter) {
<BR> Animal* animal = *iter;
<P>When we use these objects in IRB we see:
</P>
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<BR>=
> #
<Example::Zoo:
0x2be0fe8>
<!--span style="font-weight: bold;"-->
tiger1 = Example::Animal.new(
"tiger1
")
<BR>=
> #
<Example::Animal:
0x2bda760>
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<BR>(irb):
12: [BUG] Segmentation fault
<P>The error happens because the C++
<TT>animal
</TT> object is freed
when the
<TT>zoo
</TT> object is freed. Although this error is
unavoidable, we can at least prevent the segmentation fault. To do this
requires enabling object tracking and implementing a custom free
function that calls the
<TT>SWIG_RubyUnlinkObjects
</TT> function for
each animal object that is destroyed. The
<TT>SWIG_RubyUnlinkObjects
</TT> function notifies SWIG that a Ruby object's underlying C++ object is no
longer valid. Once notified, SWIG will intercept any calls from the
existing Ruby object to the destroyed C++ object and raise an
<BR>#include
"example.h
"
<BR>/* Specify that ownership is transferred to the zoo
<BR> when calling add_animal */
<BR>%apply SWIGTYPE *DISOWN { Animal* animal };
<BR>/* Specify the mark function */
<BR>%freefunc Zoo
"free_Zoo
";
<BR>%include
"example.h
"
<BR> static void free_Zoo(void* ptr) {
<BR> Zoo* zoo = (Zoo*) ptr;
<BR> /* Loop over each animal */
<BR> int count = zoo-
>get_num_animals();
<BR> for(int i =
0; i
< count; ++i) {
<BR> Animal* animal = zoo-
>get_animal(i);
<BR> /* Unlink the Ruby object from the C++ object */
<BR> SWIG_RubyUnlinkObjects(animal);
<BR> /* Now remove the tracking for this animal */
<BR> SWIG_RubyRemoveTracking(animal);
<BR> /* Now call SWIG_RemoveMapping for the zoo */
<BR> SWIG_RemoveMapping(ptr);
<BR> /* Now free the zoo which will free the animals it contains */
<P>Now when we use these objects in IRB we see:
</P>
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<BR>=
> #
<Example::Zoo:
0x2be0fe8>
<!--span style="font-weight: bold;"-->
tiger1 = Example::Animal.new(
"tiger1
")
<BR>=
> #
<Example::Animal:
0x2bda760>
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<!--span style="font-weight: bold;"-->
<BR>RuntimeError: This Animal * already released
<BR> from (irb):
10:in `get_name'
<BR>irb(main):
011:
0></PRE>
<P>Notice that SWIG can now detect the underlying C++ object has been
freed, and thus raises a runtime exception.
</P><P>This code can be seen in swig/examples/ruby/free_function.
</P>
<H1><A name=
"Tcl"></A>28 SWIG and Tcl
</H1>
<LI><A href=
"#Tcl_nn2">Preliminaries
</A>
<LI><A href=
"#Tcl_nn3">Getting the right header files
</A></LI>
<LI><A href=
"#Tcl_nn4">Compiling a dynamic module
</A></LI>
<LI><A href=
"#Tcl_nn5">Static linking
</A></LI>
<LI><A href=
"#Tcl_nn6">Using your module
</A></LI>
<LI><A href=
"#Tcl_nn7">Compilation of C++ extensions
</A></LI>
<LI><A href=
"#Tcl_nn8">Compiling for
64-bit platforms
</A></LI>
<LI><A href=
"#Tcl_nn9">Setting a package prefix
</A></LI>
<LI><A href=
"#Tcl_nn10">Using namespaces
</A></LI>
<LI><A href=
"#Tcl_nn11">Building Tcl/Tk Extensions under Windows
95/NT
</A>
<LI><A href=
"#Tcl_nn12">Running SWIG from Developer Studio
</A></LI>
<LI><A href=
"#Tcl_nn13">Using NMAKE
</A></LI>
<LI><A href=
"#Tcl_nn14">A tour of basic C/C++ wrapping
</A>
<LI><A href=
"#Tcl_nn15">Modules
</A></LI>
<LI><A href=
"#Tcl_nn16">Functions
</A></LI>
<LI><A href=
"#Tcl_nn17">Global variables
</A></LI>
<LI><A href=
"#Tcl_nn18">Constants and enums
</A></LI>
<LI><A href=
"#Tcl_nn19">Pointers
</A></LI>
<LI><A href=
"#Tcl_nn20">Structures
</A></LI>
<LI><A href=
"#Tcl_nn21">C++ classes
</A></LI>
<LI><A href=
"#Tcl_nn22">C++ inheritance
</A></LI>
<LI><A href=
"#Tcl_nn23">Pointers, references, values, and arrays
</A></LI>
<LI><A href=
"#Tcl_nn24">C++ overloaded functions
</A></LI>
<LI><A href=
"#Tcl_nn25">C++ operators
</A></LI>
<LI><A href=
"#Tcl_nn26">C++ namespaces
</A></LI>
<LI><A href=
"#Tcl_nn27">C++ templates
</A></LI>
<LI><A href=
"#Tcl_nn28">C++ Smart Pointers
</A></LI>
<LI><A href=
"#Tcl_nn29">Further details on the Tcl class interface
</A>
<LI><A href=
"#Tcl_nn30">Proxy classes
</A></LI>
<LI><A href=
"#Tcl_nn31">Memory management
</A></LI>
<LI><A href=
"#Tcl_nn32">Input and output parameters
</A></LI>
<LI><A href=
"#Tcl_nn33">Exception handling
</A></LI>
<LI><A href=
"#Tcl_nn34">Typemaps
</A>
<LI><A href=
"#Tcl_nn35">What is a typemap?
</A></LI>
<LI><A href=
"#Tcl_nn36">Tcl typemaps
</A></LI>
<LI><A href=
"#Tcl_nn37">Typemap variables
</A></LI>
<LI><A href=
"#Tcl_nn38">Converting a Tcl list to a char **
</A></LI>
<LI><A href=
"#Tcl_nn39">Returning values in arguments
</A></LI>
<LI><A href=
"#Tcl_nn40">Useful functions
</A></LI>
<LI><A href=
"#Tcl_nn41">Standard typemaps
</A></LI>
<LI><A href=
"#Tcl_nn42">Pointer handling
</A></LI>
<LI><A href=
"#Tcl_nn43">Turning a SWIG module into a Tcl Package.
</A></LI>
<LI><A href=
"#Tcl_nn44">Building new kinds of Tcl interfaces (in Tcl)
</A>
<LI><A href=
"#Tcl_nn45">Proxy classes
</A></LI>
<P><B> Caution: This chapter is under repair!
</B></P>
<P> This chapter discusses SWIG's support of Tcl. SWIG currently
requires Tcl
8.0 or a later release. Earlier releases of SWIG supported
Tcl
7.x, but this is no longer supported.
</P><H2><A name=
"Tcl_nn2"></A>28.1 Preliminaries
</H2>
<P> To build a Tcl module, run SWIG using the
<TT>-tcl
</TT> option :
</P>
<P> If building a C++ extension, add the
<TT>-c++
</TT> option:
</P>
$ swig -c++ -tcl example.i
<P> This creates a file
<TT>example_wrap.c
</TT> or
<TT>example_wrap.cxx
</TT>
that contains all of the code needed to build a Tcl extension module.
To finish building the module, you need to compile this file and link
it with the rest of your program.
</P><H3><A name=
"Tcl_nn3"></A>28.1.1 Getting the right header files
</H3>
<P> In order to compile the wrapper code, the compiler needs the
<TT>
tcl.h
</TT> header file. This file is usually contained in the directory
</P><P> Be aware that some Tcl versions install this header file with a
version number attached to it. If this is the case, you should probably
make a symbolic link so that
<TT>tcl.h
</TT> points to the correct
<H3><A name=
"Tcl_nn4"></A>28.1.2 Compiling a dynamic module
</H3>
<P> The preferred approach to building an extension module is to compile
it into a shared object file or DLL. To do this, you will need to
compile your program using comands like this (shown for Linux):
</P>$ gcc -c example_wrap.c -I/usr/local/include
$ gcc -shared example.o example_wrap.o -o example.so
<P> The exact commands for doing this vary from platform to platform.
SWIG tries to guess the right options when it is installed. Therefore,
you may want to start with one of the examples in the
<TT>SWIG/Examples/tcl
</TT> directory. If that doesn't work, you will need to
read the man-pages for your compiler and linker to get the right set of
options. You might also check the
<A href=
"http://swig.cs.uchicago.edu/cgi-bin/wiki.pl">SWIG Wiki
</A> for additional information.
</P><P> When linking the module, the name of the output file has to match
the name of the module. If the name of your SWIG module is
"<TT>example
</TT>", the name of the corresponding object file should be
"<TT>example.so
</TT>
". The name of the module is specified using the
<TT>%module
</TT>
directive or the
<TT>-module
</TT> command line option.
</P><H3><A name=
"Tcl_nn5"></A>28.1.3 Static linking
</H3>
<P> An alternative approach to dynamic linking is to rebuild the Tcl
interpreter with your extension module added to it. In the past, this
approach was sometimes necesssary due to limitations in dynamic loading
support on certain machines. However, the situation has improved
greatly over the last few years and you should not consider this
approach unless there is really no other option.
</P><P> The usual procedure for adding a new module to Tcl involves writing
a special function
<TT>Tcl_AppInit()
</TT> and using it to initialize
the interpreter and your module. With SWIG, the
<TT>tclsh.i
</TT> and
<TT>wish.i
</TT> library files can be used to rebuild the
<TT>tclsh
</TT> and
<TT>wish
</TT> interpreters respectively. For example:
</P>extern int mod(int, int);
extern double My_variable;
%include tclsh.i // Include code for rebuilding tclsh
<P> The
<TT>tclsh.i
</TT> library file includes supporting code that
contains everything needed to rebuild tclsh. To rebuild the
interpreter, you simply do something like this:
</P>$ gcc example.c example_wrap.c \
-Xlinker -export-dynamic \
-DHAVE_CONFIG_H -I/usr/local/include/ \
-L/usr/local/lib -ltcl -lm -ldl \
<P> You will need to supply the same libraries that were used to build
Tcl the first time. This may include system libraries such as
<TT>-lsocket
</TT>,
<TT>-lnsl
</TT>, and
<TT>-lpthread
</TT>. If this actually
works, the new version of Tcl should be identical to the default
version except that your extension module will be a built-in part of
<P><B> Comment:
</B> In practice, you should probably try to avoid static
linking if possible. Some programmers may be inclined to use static
linking in the interest of getting better performance. However, the
performance gained by static linking tends to be rather minimal in most
situations (and quite frankly not worth the extra hassle in the opinion
<H3><A name=
"Tcl_nn6"></A>28.1.4 Using your module
</H3>
<P> To use your module, simply use the Tcl
<TT>load
</TT> command. If all
goes well, you will be able to this:
</P><P> A common error received by first-time users is the following:
</P>
couldn't find procedure Example_Init
<P> This error is almost always caused when the name of the shared
object file doesn't match the name of the module supplied using the
SWIG
<TT>%module
</TT> directive. Double-check the interface to make
sure the module name and the shared object file match. Another possible
cause of this error is forgetting to link the SWIG-generated wrapper
code with the rest of your application when creating the extension
<P> Another common error is something similar to the following:
</P>
couldn't load file
"./example.so
": ./example.so: undefined symbol: fact
<P> This error usually indicates that you forgot to include some object
files or libraries in the linking of the shared library file. Make sure
you compile both the SWIG wrapper file and your original program into a
shared library file. Make sure you pass all of the required libraries
<P> Sometimes unresolved symbols occur because a wrapper has been
created for a function that doesn't actually exist in a library. This
usually occurs when a header file includes a declaration for a function
that was never actually implemented or it was removed from a library
without updating the header file. To fix this, you can either edit the
SWIG input file to remove the offending declaration or you can use the
<TT>%ignore
</TT> directive to ignore the declaration.
</P><P> Finally, suppose that your extension module is linked with another
$ gcc -shared example.o example_wrap.o -L/home/beazley/projects/lib -lfoo \
<P> If the
<TT>foo
</TT> library is compiled as a shared library, you
might get the following problem when you try to use your module:
</P>couldn't load file
"./example.so
": libfoo.so: cannot open shared object file:
No such file or directory
<P> This error is generated because the dynamic linker can't locate the
<TT>
libfoo.so
</TT> library. When shared libraries are loaded, the system
normally only checks a few standard locations such as
<TT>/usr/lib
</TT> and
<TT>/usr/local/lib
</TT>. To fix this problem, there are several
things you can do. First, you can recompile your extension module with
extra path information. For example, on Linux you can do this:
</P>$ gcc -shared example.o example_wrap.o -L/home/beazley/projects/lib -lfoo \
-Xlinker -rpath /home/beazley/projects/lib \
<P> Alternatively, you can set the
<TT>LD_LIBRARY_PATH
</TT> environment
variable to include the directory with your shared libraries. If
setting
<TT>LD_LIBRARY_PATH
</TT>, be aware that setting this variable
can introduce a noticeable performance impact on all other applications
that you run. To set it only for Tcl, you might want to do this
$ env LD_LIBRARY_PATH=/home/beazley/projects/lib tclsh
<P> Finally, you can use a command such as
<TT>ldconfig
</TT> to add
additional search paths to the default system configuration (this
requires root access and you will need to read the man pages).
</P><H3><A name=
"Tcl_nn7"></A>28.1.5 Compilation of C++ extensions
</H3>
<P> Compilation of C++ extensions has traditionally been a tricky
problem. Since the Tcl interpreter is written in C, you need to take
steps to make sure C++ is properly initialized and that modules are
<P> On most machines, C++ extension modules should be linked using the
C++ compiler. For example:
</P>% swig -c++ -tcl example.i
% g++ -c example_wrap.cxx -I/usr/local/include
% g++ -shared example.o example_wrap.o -o example.so
<P> In addition to this, you may need to include additional library
files to make it work. For example, if you are using the Sun C++
compiler on Solaris, you often need to add an extra library
<TT>-lCrun
</TT>% swig -c++ -tcl example.i
% CC -c example_wrap.cxx -I/usr/local/include
% CC -G example.o example_wrap.o -L/opt/SUNWspro/lib -o example.so -lCrun
<P> Of course, the extra libraries to use are completely
non-portable---you will probably need to do some experimentation.
</P><P> Sometimes people have suggested that it is necessary to relink the
Tcl interpreter using the C++ compiler to make C++ extension modules
work. In the experience of this author, this has never actually
appeared to be necessary. Relinking the interpreter with C++ really
only includes the special run-time libraries described above---as long
as you link your extension modules with these libraries, it should not
be necessary to rebuild Tcl.
</P><P> If you aren't entirely sure about the linking of a C++ extension,
you might look at an existing C++ program. On many Unix machines, the
<TT>ldd
</TT> command will list library dependencies. This should give you
some clues about what you might have to include when you link your
extension module. For example:
</P> libstdc++-libc6.1-
1.so
.2 =
> /usr/lib/libstdc++-libc6.1-
1.so
.2 (
0x40019000)
libm.so
.6 =
> /lib/libm.so
.6 (
0x4005b000)
libc.so
.6 =
> /lib/libc.so
.6 (
0x40077000)
/lib/ld-linux.so
.2 =
> /lib/ld-linux.so
.2 (
0x40000000)
<P> As a final complication, a major weakness of C++ is that it does not
define any sort of standard for binary linking of libraries. This means
that C++ code compiled by different compilers will not link together
properly as libraries nor is the memory layout of classes and data
structures implemented in any kind of portable manner. In a monolithic
C++ program, this problem may be unnoticed. However, in Tcl, it is
possible for different extension modules to be compiled with different
C++ compilers. As long as these modules are self-contained, this
probably won't matter. However, if these modules start sharing data,
you will need to take steps to avoid segmentation faults and other
erratic program behavior. If working with lots of software components,
you might want to investigate using a more formal standard such as COM.
</P><H3><A name=
"Tcl_nn8"></A>28.1.6 Compiling for
64-bit platforms
</H3>
<P> On platforms that support
64-bit applications (Solaris, Irix, etc.),
special care is required when building extension modules. On these
machines,
64-bit applications are compiled and linked using a different
set of compiler/linker options. In addition, it is not generally
possible to mix
32-bit and
64-bit code together in the same
<P> To utilize
64-bits, the Tcl executable will need to be recompiled as
a
64-bit application. In addition, all libraries, wrapper code, and
every other part of your application will need to be compiled for
64-bits. If you plan to use other third-party extension modules, they
will also have to be recompiled as
64-bit extensions.
</P><P> If you are wrapping commercial software for which you have no source
code, you will be forced to use the same linking standard as used by
that software. This may prevent the use of
64-bit extensions. It may
also introduce problems on platforms that support more than one linking
standard (e.g., -o32 and -n32 on Irix).
</P><H3><A name=
"Tcl_nn9"></A>28.1.7 Setting a package prefix
</H3>
<P> To avoid namespace problems, you can instruct SWIG to append a
package prefix to all of your functions and variables. This is done
using the -prefix option as follows :
</P>swig -tcl -prefix Foo example.i
<P> If you have a function
"<TT>bar
</TT>" in the SWIG file, the prefix
option will append the prefix to the name when creating a command and
call it
"<TT>Foo_bar
</TT>".
</P><H3><A name=
"Tcl_nn10"></A>28.1.8 Using namespaces
</H3>
<P> Alternatively, you can have SWIG install your module into a Tcl
namespace by specifying the
<TT>-namespace
</TT> option :
</P>swig -tcl -namespace example.i
<P> By default, the name of the namespace will be the same as the module
name, but you can override it using the
<TT>-prefix
</TT> option.
</P><P> When the
<TT>-namespace
</TT> option is used, objects in the module
are always accessed with the namespace name such as
<TT>Foo::bar
</TT>.
</P><H2><A name=
"Tcl_nn11"></A>28.2 Building Tcl/Tk Extensions under Windows
<P> Building a SWIG extension to Tcl/Tk under Windows
95/NT is roughly
similar to the process used with Unix. Normally, you will want to
produce a DLL that can be loaded into tclsh or wish. This section
covers the process of using SWIG with Microsoft Visual C++. although
the procedure may be similar with other compilers.
</P><H3><A name=
"Tcl_nn12"></A>28.2.1 Running SWIG from Developer Studio
</H3>
<P> If you are developing your application within Microsoft developer
studio, SWIG can be invoked as a custom build option. The process
roughly follows these steps :
</P><LI>Open up a new workspace and use the AppWizard to select a DLL
<LI>Add both the SWIG interface file (the .i file), any supporting C
files, and the name of the wrapper file that will be created by SWIG
(ie.
<TT>example_wrap.c
</TT>). Note : If using C++, choose a different
suffix for the wrapper file such as
<TT>example_wrap.cxx
</TT>. Don't
worry if the wrapper file doesn't exist yet--Developer studio will keep
a reference to it around.
</LI><LI>Select the SWIG interface file and go to the settings menu. Under
settings, select the
"Custom Build
" option.
</LI><LI>Enter
"SWIG
" in the description field.
</LI>
<LI>Enter
"<TT>swig -tcl -o $(ProjDir)\$(InputName)_wrap.c $(InputPath)
</TT>
" in the
"Build command(s) field
"</LI>
<LI>Enter
"<TT>$(ProjDir)\$(InputName)_wrap.c
</TT>" in the
"Output
files(s) field
".
</LI><LI>Next, select the settings for the entire project and go to
"C++:Preprocessor
". Add the include directories for your Tcl
installation under
"Additional include directories
".
</LI><LI>Finally, select the settings for the entire project and go to
"Link
Options
". Add the Tcl library file to your link libraries. For example
"<TT>tcl80.lib
</TT>". Also, set the name of the output file to match
the name of your Tcl module (ie. example.dll).
</LI><LI>Build your project.
</LI>
<P> Now, assuming all went well, SWIG will be automatically invoked when
you build your project. Any changes made to the interface file will
result in SWIG being automatically invoked to produce a new version of
the wrapper file. To run your new Tcl extension, simply run
<TT>tclsh
</TT> or
<TT>wish
</TT> and use the
<TT>load
</TT> command. For example :
</P><H3><A name=
"Tcl_nn13"></A>28.2.2 Using NMAKE
</H3>
<P> Alternatively, SWIG extensions can be built by writing a Makefile
for NMAKE. To do this, make sure the environment variables for MSVC++
are available and the MSVC++ tools are in your path. Now, just write a
short Makefile like this :
</P># Makefile for building various SWIG generated extensions
WRAPFILE = $(IFILE)_wrap.c
# Location of the Visual C++ tools (
32 bit assumed)
LINK = $(TOOLS)\bin\link.exe
INCLUDE32 = -I$(TOOLS)\include
# C Library needed to build a DLL
DLLIBC = msvcrt.lib oldnames.lib
# Windows libraries that are apparently needed
WINLIB = kernel32.lib advapi32.lib user32.lib gdi32.lib comdlg32.lib
# Libraries common to all DLLs
LIBS = $(DLLIBC) $(WINLIB)
LOPT = -debug:full -debugtype:cv /NODEFAULTLIB /RELEASE /NOLOGO /
MACHINE:$(MACHINE) -entry:_DllMainCRTStartup@
12 -dll
CFLAGS = /Z7 /Od /c /nologo
TCL_INCLUDES = -Id:\tcl8.0a2\generic -Id:\tcl8.0a2\win
TCLLIB = d:\tcl8.0a2\win\tcl80.lib
..\..\swig -tcl -o $(WRAPFILE) $(INTERFACE)
$(CC) $(CFLAGS) $(TCL_INCLUDES) $(SRCS) $(WRAPFILE)
$(LINK) $(LOPT) -out:example.dll $(LIBS) $(TCLLIB) example.obj example_wrap.obj
<P> To build the extension, run NMAKE (you may need to run vcvars32
first). This is a pretty minimal Makefile, but hopefully its enough to
get you started. With a little practice, you'll be making lots of Tcl
<H2><A name=
"Tcl_nn14"></A>28.3 A tour of basic C/C++ wrapping
</H2>
<P> By default, SWIG tries to build a very natural Tcl interface to your
C/C++ code. Functions are wrapped as functions, classes are wrapped in
an interface that mimics the style of Tk widgets and [incr Tcl]
classes. This section briefly covers the essential aspects of this
<H3><A name=
"Tcl_nn15"></A>28.3.1 Modules
</H3>
<P> The SWIG
<TT>%module
</TT> directive specifies the name of the Tcl
module. If you specify `
<TT>%module example
</TT>', then everything is
compiled into an extension module
<TT>example.so
</TT>. When choosing a
module name, make sure you don't use the same name as a built-in Tcl
<P> One pitfall to watch out for is module names involving numbers. If
you specify a module name like
<TT>%module md5
</TT>, you'll find that
the load command no longer seems to work:
</P>couldn't find procedure Md_Init
<P> To fix this, supply an extra argument to
<TT>load
</TT> like this:
</P>
<H3><A name=
"Tcl_nn16"></A>28.3.2 Functions
</H3>
<P> Global functions are wrapped as new Tcl built-in commands. For
<P> creates a built-in function
<TT>fact
</TT> that works exactly like
<H3><A name=
"Tcl_nn17"></A>28.3.3 Global variables
</H3>
<P> C/C++ global variables are wrapped by Tcl global variables. For
// SWIG interface file with global variables
<P> Now look at the Tcl interface:
</P>
% puts $density # Output value of C global variable
% set density
0.95 # Change value
<P> If you make an error in variable assignment, you will get an error
message. For example:
</P>% set density
"hello
"can't set
"density
": Type error. expected a double.
<P> If a variable is declared as
<TT>const
</TT>, it is wrapped as a
read-only variable. Attempts to modify its value will result in an
<P> To make ordinary variables read-only, you can use the
<TT>%immutable
</TT>
directive. For example:
</P><P> The
<TT>%immutable
</TT> directive stays in effect until it is
explicitly disabled or cleared using
<TT>%mutable
</TT>. See the
<A href=
"#SWIG_readonly_variables">Creatng read-only variables
</A> section for further details.
</P><P> If you just want to make a specific variable immutable, supply a
declaration name. For example:
</P>extern char *path; // Read-only (due to %immutable)
<H3><A name=
"Tcl_nn18"></A>28.3.4 Constants and enums
</H3>
<P> C/C++ constants are installed as global Tcl variables containing the
appropriate value. To create a constant, use
<TT>#define
</TT>,
<TT>enum
</TT>, or the
<TT>%constant
</TT> directive. For example:
</P>#define VERSION
"1.0"enum Beverage { ALE, LAGER, STOUT, PILSNER };
%constant const char *path =
"/usr/local
";
<P> For enums, make sure that the definition of the enumeration actually
appears in a header file or in the wrapper file somehow---if you just
stick an enum in a SWIG interface without also telling the C compiler
about it, the wrapper code won't compile.
</P><P> Note: declarations declared as
<TT>const
</TT> are wrapped as
read-only variables and will be accessed using the
<TT>cvar
</TT> object
described in the previous section. They are not wrapped as constants.
For further discussion about this, see the
<A href=
"#SWIG">SWIG Basics
</A><P> Constants are not guaranteed to remain constant in Tcl---the value
of the constant could be accidentally reassigned.You will just have to
<P> A peculiarity of installing constants as variables is that it is
necessary to use the Tcl
<TT>global
</TT> statement to access constants
in procedure bodies. For example:
</P><P> If a program relies on a lot of constants, this can be extremely
annoying. To fix the problem, consider using the following typemap
%apply int CONSTANT { int x };
<P> When applied to an input argument, the
<TT>CONSTANT
</TT> rule allows
a constant to be passed to a function using its actual value or a
symbolic identifier name. For example:
</P><P> When an identifier name is given, it is used to perform an implicit
hash-table lookup of the value during argument conversion. This allows
the
<TT>global
</TT> statement to be ommitted.
</P><H3><A name=
"Tcl_nn19"></A>28.3.5 Pointers
</H3>
<P> C/C++ pointers are fully supported by SWIG. Furthermore, SWIG has no
problem working with incomplete type information. Here is a rather
FILE *fopen(const char *filename, const char *mode);
int fputs(const char *, FILE *);
<P> When wrapped, you will be able to use the functions in a natural way
from Tcl. For example:
</P>% fputs
"Hello World\n
" $f
<P> If this makes you uneasy, rest assured that there is no deep magic
involved. Underneath the covers, pointers to C/C++ objects are simply
represented as opaque values--normally an encoded character string like
<P> This pointer value can be freely passed around to different C
functions that expect to receive an object of type
<TT>FILE *
</TT>. The
only thing you can't do is dereference the pointer from Tcl.
</P><P> The NULL pointer is represented by the string
<TT>NULL
</TT>.
</P>
<P> As much as you might be inclined to modify a pointer value directly
from Tcl, don't. The hexadecimal encoding is not necessarily the same
as the logical memory address of the underlying object. Instead it is
the raw byte encoding of the pointer value. The encoding will vary
depending on the native byte-ordering of the platform (i.e., big-endian
vs. little-endian). Similarly, don't try to manually cast a pointer to
a new type by simply replacing the type-string. This may not work like
you expect and it is particularly dangerous when casting C++ objects.
If you need to cast a pointer or change its value, consider writing
some helper functions instead. For example:
</P> return dynamic_cast
<Foo*
>(b);
Foo *IncrFoo(Foo *f, int i) {
<P> Also, if working with C++, you should always try to use the new C++
style casts. For example, in the above code, the C-style cast may
return a bogus result whereas as the C++-style cast will return
<TT>None
</TT> if the conversion can't be performed.
</P><H3><A name=
"Tcl_nn20"></A>28.3.6 Structures
</H3>
<P> If you wrap a C structure, it is wrapped by a Tcl interface that
somewhat resembles a Tk widget. This provides a very natural interface.
<P> is used as follows:
</P>
% v configure -x
3.5 -y
7.2% puts
"[v cget -x] [v cget -y] [v cget -z]
"<P> Similar access is provided for unions and the data members of C++
<P> In the above example,
<TT>v
</TT> is a name that's used for the
object. However, underneath the covers, there's a pointer to a raw C
structure. This can be obtained by looking at the
<TT>-this
</TT> attribute. For example:
</P><P> Further details about the relationship between the Tcl and the
underlying C structure are covered a little later.
</P><P> <TT>const
</TT> members of a structure are read-only. Data members
can also be forced to be read-only using the
<TT>%immutable
</TT> directive. For example:
</P> int x; /* Read-only members */
<P> When
<TT>char *
</TT> members of a structure are wrapped, the
contents are assumed to be dynamically allocated using
<TT>malloc
</TT> or
<TT>new
</TT> (depending on whether or not SWIG is run with the -c++
option). When the structure member is set, the old contents will be
released and a new value created. If this is not the behavior you want,
you will have to use a typemap (described later).
</P><P> If a structure contains arrays, access to those arrays is managed
through pointers. For example, consider this:
</P><P> If accessed in Tcl, you will see behavior like this:
</P>
<P> This pointer can be passed around to functions that expect to
receive an
<TT>int *
</TT> (just like C). You can also set the value of
an array member using another pointer. For example:
</P>% c configure -x [b cget -x] # Copy contents of b.x to c.x
<P> For array assignment, SWIG copies the entire contents of the array
starting with the data pointed to by
<TT>b.x
</TT>. In this example,
16 integers would be copied. Like C, SWIG makes no assumptions about
bounds checking---if you pass a bad pointer, you may get a segmentation
fault or access violation.
</P><P> When a member of a structure is itself a structure, it is handled as
a pointer. For example, suppose you have two structures like this:
</P><P> Now, suppose that you access the
<TT>f
</TT> attribute of
<TT>Bar
</TT>
<P> In this case,
<TT>x
</TT> is a pointer that points to the
<TT>Foo
</TT>
that is inside
<TT>b
</TT>. This is the same value as generated by this
Foo *x =
&b-
>f; /* Points inside b */
<P> However, one peculiarity of accessing a substructure like this is
that the returned value does work quite like you might expect. For
invalid command name
"x
"<P> This is because the returned value was not created in a normal way
from the interpreter (x is not a command object). To make it function
normally, just evaluate the variable like this:
</P><P> In this example,
<TT>x
</TT> points inside the original structure.
This means that modifications work just like you would expect. For
% $x configure -a
3 # Modifies contents of f (inside b)
% [b cget -f] -configure -a
3 # Same thing
<P> In many of these structure examples, a simple name like
"v
" or
"b
"
has been given to wrapped structures. If necessary, this name can be
passed to functions that expect to receive an object. For example, if
you have a function like this,
</P><P> you can call the function in Tcl as follows:
</P>
% Foo x # Create a Foo object
% blah x # Pass the object to a function
<P> It is also possible to call the function using the raw pointer
% blah [x cget -this] # Pass object to a function
<P> It is also possible to create and use objects using variables. For
% set b [Bar] # Create a Bar
% $b cget -f # Member access
<P> Finally, to destroy objects created from Tcl, you can either let the
object name go out of scope or you can explicitly delete the object.
% Foo f # Create object f
% Foo f # Create object f
<P> Note: Tcl only destroys the underlying object if it has ownership.
See the memory management section that appears shortly.
</P><H3><A name=
"Tcl_nn21"></A>28.3.7 C++ classes
</H3>
<P> C++ classes are wrapped as an extension of structure wrapping. For
example, if you have this class,
</P><P> you can use it in Tcl like this:
</P>
<P> Class data members are accessed in the same manner as C structures.
</P>
<P> Static class members are accessed as global functions or variables.
To illustrate, suppose you have a class like this:
</P><P> In Tcl, the static member is accessed as follows:
</P>
% puts $Spam_bar # Spam::bar
<H3><A name=
"Tcl_nn22"></A>28.3.8 C++ inheritance
</H3>
<P> SWIG is fully aware of issues related to C++ inheritance. Therefore,
if you have classes like this
</P><P> An object of type
<TT>Bar
</TT> can be used where a
<TT>Foo
</TT> is
expected. For example, if you have this function:
</P><P> then the function
<TT>spam()
</TT> accepts a
<TT>Foo *
</TT> or a
pointer to any class derived from
<TT>Foo
</TT>. For instance:
</P><P> It is safe to use multiple inheritance with SWIG.
</P>
<H3><A name=
"Tcl_nn23"></A>28.3.9 Pointers, references, values, and
<P> In C++, there are many different ways a function might receive and
manipulate objects. For example:
</P>void spam1(Foo *x); // Pass by pointer
void spam2(Foo
&x); // Pass by reference
void spam3(Foo x); // Pass by value
void spam4(Foo x[]); // Array of objects
<P> In Tcl, there is no detailed distinction like this. Because of this,
SWIG unifies all of these types together in the wrapper code. For
instance, if you actually had the above functions, it is perfectly
% spam2 f # Ok. Reference
% spam4 f # Ok. Array (
1 element)
<P> Similar behavior occurs for return values. For example, if you had
<P> then all three functions will return a pointer to some
<TT>Foo
</TT>
object. Since the third function (spam7) returns a value, newly
allocated memory is used to hold the result and a pointer is returned
(Tcl will release this memory when the return value is garbage
<H3><A name=
"Tcl_nn24"></A>28.3.10 C++ overloaded functions
</H3>
<P> C++ overloaded functions, methods, and constructors are mostly
supported by SWIG. For example, if you have two functions like this:
</P><P> You can use them in Tcl in a straightforward manner:
</P>
% foo Hello # foo(char *c)
<P> Similarly, if you have a class like this,
</P>
<P> you can write Tcl code like this:
</P>
<P> Overloading support is not quite as flexible as in C++. Sometimes
there are methods that SWIG can't disambiguate. For example:
</P><P> If declarations such as these appear, you will get a warning message
example.i:
12: Warning(
509): Overloaded spam(short) is shadowed by spam(int)
<P> To fix this, you either need to ignore or rename one of the methods.
%rename(spam_short) spam(short);
void spam(short); // Accessed as spam_short
void spam(short); // Ignored
<P> SWIG resolves overloaded functions and methods using a
disambiguation scheme that ranks and sorts declarations according to a
set of type-precedence rules. The order in which declarations appear in
the input does not matter except in situations where ambiguity
arises--in this case, the first declaration takes precedence.
</P><P> Please refer to the
"SWIG and C++
" chapter for more information
<H3><A name=
"Tcl_nn25"></A>28.3.11 C++ operators
</H3>
<P> Certain C++ overloaded operators can be handled automatically by
SWIG. For example, consider a class like this:
</P> Complex(double r =
0, double i =
0) : rpart(r), ipart(i) { }
Complex(const Complex
&c) : rpart(c.rpart), ipart(c.ipart) { }
Complex
&operator=(const Complex
&c);
Complex operator+(const Complex
&c) const;
Complex operator-(const Complex
&c) const;
Complex operator*(const Complex
&c) const;
Complex operator-() const;
double re() const { return rpart; }
double im() const { return ipart; }
<P> When wrapped, it works like this:
</P>
<P> It should be stressed that operators in SWIG have no relationship to
operators in Tcl. In fact, the only thing that's happening here is that
an operator like
<TT>operator +
</TT> has been renamed to a method
<TT>+
</TT>. Therefore, the statement
<TT>[c + d]
</TT> is really just invoking the
<TT>+
</TT> method on
<TT>c
</TT>. When more than operator is defined (with
different arguments), the standard method overloading facilities are
used. Here is a rather odd looking example:
</P>% set e [c - d] # operator-(const Complex
&)
% puts
"[$e re] [$e im]
"% set f [c -] # operator-()
% puts
"[$f re] [$f im]
"<P> One restriction with operator overloading support is that SWIG is
not able to fully handle operators that aren't defined as part of the
class. For example, if you had code like this
</P>friend Complex operator+(double, const Complex
&c);
<P> then SWIG doesn't know what to do with the friend function--in fact,
it simply ignores it and issues a warning. You can still wrap the
operator, but you may have to encapsulate it in a special function. For
%rename(Complex_add_dc) operator+(double, const Complex
&);
Complex operator+(double, const Complex
&c);
<P> There are ways to make this operator appear as part of the class
using the
<TT>%extend
</TT> directive. Keep reading.
</P><H3><A name=
"Tcl_nn26"></A>28.3.12 C++ namespaces
</H3>
<P> SWIG is aware of C++ namespaces, but namespace names do not appear
in the module nor do namespaces result in a module that is broken up
into submodules or packages. For example, if you have a file like this,
</P><P> it works in Tcl as follows:
</P>
<P> If your program has more than one namespace, name conflicts (if any)
can be resolved using
<TT>%rename
</TT> For example:
</P>%rename(Bar_spam) Bar::spam;
<P> If you have more than one namespace and your want to keep their
symbols separate, consider wrapping them as separate SWIG modules. For
example, make the module name the same as the namespace and create
extension modules for each namespace separately. If your program
utilizes thousands of small deeply nested namespaces each with
identical symbol names, well, then you get what you deserve.
</P><H3><A name=
"Tcl_nn27"></A>28.3.13 C++ templates
</H3>
<P> C++ templates don't present a huge problem for SWIG. However, in
order to create wrappers, you have to tell SWIG to create wrappers for
a particular template instantiation. To do this, you use the
<TT>%template
</TT> directive. For example:
</P>#include
"pair.h
"template
<class T1, class T2
> pair(const T1
&, const T2
&);
%template(pairii) pair
<int,int
>;
<P> Obviously, there is more to template wrapping than shown in this
example. More details can be found in the
<A href=
"#SWIGPlus">SWIG and
C++
</A> chapter. Some more complicated examples will appear later.
</P><H3><A name=
"Tcl_nn28"></A>28.3.14 C++ Smart Pointers
</H3>
<P> In certain C++ programs, it is common to use classes that have been
wrapped by so-called
"smart pointers.
" Generally, this involves the use
of a template class that implements
<TT>operator-
>()
</TT> like this:
</P>template
<class T
> class SmartPtr {
<P> Then, if you have a class like this,
</P>
<P> A smart pointer would be used in C++ as follows:
</P>
SmartPtr
<Foo
> p = CreateFoo(); // Created somehow (not shown)
int y = p-
>bar(); // Foo::bar
<P> To wrap this in Tcl, simply tell SWIG about the
<TT>SmartPtr
</TT>
class and the low-level
<TT>Foo
</TT> object. Make sure you instantiate
<TT>SmartPtr
</TT> using
<TT>%template
</TT> if necessary. For example:
</P>%template(SmartPtrFoo) SmartPtr
<Foo
>;
<P> Now, in Tcl, everything should just
"work
":
</P>
% set p [CreateFoo] # Create a smart-pointer somehow
% $p configure -x
3 # Foo::x
<P> If you ever need to access the underlying pointer returned by
<TT>
operator-
>()
</TT> itself, simply use the
<TT>__deref__()
</TT> method.
% set f [$p __deref__] # Returns underlying Foo *
<H2><A name=
"Tcl_nn29"></A>28.4 Further details on the Tcl class
<P> In the previous section, a high-level view of Tcl wrapping was
presented. A key component of this wrapping is that structures and
classes are wrapped by Tcl class-like objects. This provides a very
natural Tcl interface and allows SWIG to support a number of advanced
features such as operator overloading. However, a number of low-level
details were omitted. This section provides a brief overview of how the
<H3><A name=
"Tcl_nn30"></A>28.4.1 Proxy classes
</H3>
<P> In the
<A href=
"#SWIG">"SWIG basics
"</A> and
<A href=
"#SWIGPlus">
"SWIG and C++
"</A> chapters, details of low-level structure and class
wrapping are described. To summarize those chapters, if you have a
<P> then SWIG transforms it into a set of low-level procedural wrappers.
void delete_Foo(Foo *f) {
void Foo_x_set(Foo *f, int value) {
int Foo_spam(Foo *f, int arg1) {
<P> These wrappers are actually found in the Tcl extension module. For
example, you can certainly do this:
</P><P> However, in addition to this, the classname
<TT>Foo
</TT> is used as
an object constructor function. This allows objects to be encapsulated
objects that look a lot like Tk widgets as shown in the last section.
</P><H3><A name=
"Tcl_nn31"></A>28.4.2 Memory management
</H3>
<P> Associated with each wrapped object, is an ownership flag
<TT>
thisown
</TT> The value of this flag determines who is responsible for
deleting the underlying C++ object. If set to
1, the Tcl interpreter
destroys the C++ object when the proxy class is garbage collected. If
set to
0 (or if the attribute is missing), then the destruction of the
proxy class has no effect on the C++ object.
</P><P> When an object is created by a constructor or returned by value, Tcl
automatically takes ownership of the result. For example:
</P><P> On the other hand, when pointers are returned to Tcl, there is often
no way to know where they came from. Therefore, the ownership is set to
<P> This behavior is especially important for classes that act as
containers. For example, if a method returns a pointer to an object
that is contained inside another object, you definitely don't want Tcl
to assume ownership and destroy it!
</P><P> Related to containers, ownership issues can arise whenever an object
is assigned to a member or global variable. For example, consider this
<P> When wrapped in Tcl, careful observation will reveal that ownership
changes whenever an object is assigned to a global variable. For
<P> In this case, C is now holding a reference to the object---you
probably don't want Tcl to destroy it. Similarly, this occurs for
members. For example:
</P><P> For the most part, memory management issues remain hidden. However,
there are occasionally situations where you might have to manually
change the ownership of an object. For instance, consider code like
void set_value(Object *v) { value = v; }
<P> Now, consider the following Tcl code:
</P>
% Object v # Create an object
% n setvalue v # Set value
<P> In this case, the object
<TT>n
</TT> is holding a reference to
<TT>v
</TT>
internally. However, SWIG has no way to know that this has occurred.
Therefore, Tcl still thinks that it has ownership of the object. Should
the proxy object be destroyed, then the C++ destructor will be invoked
and
<TT>n
</TT> will be holding a stale-pointer. If you're lucky, you
will only get a segmentation fault.
</P><P> To work around this, it is always possible to flip the ownership
% v -disown # Give ownership to C/C++
% v -acquire # Acquire ownership
<P> It is also possible to deal with situations like this using
typemaps--an advanced topic discussed later.
</P><H2><A name=
"Tcl_nn32"></A>28.5 Input and output parameters
</H2>
<P> A common problem in some C programs is handling parameters passed as
simple pointers. For example:
</P>void add(int x, int y, int *result) {
int sub(int *x, int *y) {
<P> The easiest way to handle these situations is to use the
<TT>
typemaps.i
</TT> file. For example:
</P>%include
"typemaps.i
"void add(int, int, int *OUTPUT);
int sub(int *INPUT, int *INPUT);
<P> In Tcl, this allows you to pass simple values instead of pointer.
<P> Notice how the
<TT>INPUT
</TT> parameters allow integer values to be
passed instead of pointers and how the
<TT>OUTPUT
</TT> parameter
creates a return result.
</P><P> If you don't want to use the names
<TT>INPUT
</TT> or
<TT>OUTPUT
</TT>
, use the
<TT>%apply
</TT> directive. For example:
</P>%include
"typemaps.i
"%apply int *OUTPUT { int *result };
%apply int *INPUT { int *x, int *y};
void add(int x, int y, int *result);
<P> If a function mutates one of its parameters like this,
</P>
<P> you can use
<TT>INOUT
</TT> like this:
</P>
%include
"typemaps.i
"<P> In Tcl, a mutated parameter shows up as a return value. For example:
</P>
<P> The most common use of these special typemap rules is to handle
functions that return more than one value. For example, sometimes a
function returns a result as well as a special error code:
</P>/* send message, return number of bytes sent, along with success code */
int send_message(char *text, int len, int *success);
<P> To wrap such a function, simply use the
<TT>OUTPUT
</TT> rule above.
%include
"typemaps.i
"%apply int *OUTPUT { int *success };
int send_message(char *text, int *success);
<P> When used in Tcl, the function will return multiple values as a
set r [send_message
"Hello World
"]
set success [lindex $r
1]
<P> Another common use of multiple return values are in query functions.
void get_dimensions(Matrix *m, int *rows, int *columns);
<P> To wrap this, you might use the following:
</P>
%include
"typemaps.i
"%apply int *OUTPUT { int *rows, int *columns };
void get_dimensions(Matrix *m, int *rows, *columns);
set dim [get_dimensions $m]
<H2><A name=
"Tcl_nn33"></A>28.6 Exception handling
</H2>
<P> The
<TT>%exception
</TT> directive can be used to create a
user-definable exception handler in charge of converting exceptions in
your C/C++ program into Tcl exceptions. The chapter on customization
features contains more details, but suppose you extended the array
example into a C++ class like the following :
</P>class RangeError {}; // Used for an exception
// Create a new array of fixed size
// Return the length of the array
// Get an item from the array and perform bounds checking.
if ((i
>=
0)
&& (i
< n))
// Set an item in the array and perform bounds checking.
void setitem(int i, double val) {
if ((i
>=
0)
&& (i
< n))
<P> The functions associated with this class can throw a C++ range
exception for an out-of-bounds array access. We can catch this in our
Tcl extension by specifying the following in an interface file :
</P> $action // Gets substituted by actual function call
Tcl_SetStringObj(tcl_result,
"Array index out-of-bounds
");
<P> As shown, the exception handling code will be added to every wrapper
function. Since this is somewhat inefficient. You might consider
refining the exception handler to only apply to specific methods like
Tcl_SetStringObj(tcl_result,
"Array index out-of-bounds
");
Tcl_SetStringObj(tcl_result,
"Array index out-of-bounds
");
<P> In this case, the exception handler is only attached to methods and
functions named
<TT>getitem
</TT> and
<TT>setitem
</TT>.
</P><P> If you had a lot of different methods, you can avoid extra typing by
using a macro. For example:
</P> Tcl_SetStringObj(tcl_result,
"Array index out-of-bounds
");
%exception getitem RANGE_ERROR;
%exception setitem RANGE_ERROR;
<P> Since SWIG's exception handling is user-definable, you are not
limited to C++ exception handling. See the chapter on
"<A href=
"#Customization">Customization Features
</A>" for more examples.
</P><H2><A name=
"Tcl_nn34"></A>28.7 Typemaps
</H2>
<P> This section describes how you can modify SWIG's default wrapping
behavior for various C/C++ datatypes using the
<TT>%typemap
</TT> directive. This is an advanced topic that assumes familiarity with the
Tcl C API as well as the material in the
"<A href=
"#Typemaps">Typemaps
</A><P> Before proceeding, it should be stressed that typemaps are not a
required part of using SWIG---the default wrapping behavior is enough
in most cases. Typemaps are only used if you want to change some aspect
of the primitive C-Tcl interface.
</P><H3><A name=
"Tcl_nn35"></A>28.7.1 What is a typemap?
</H3>
<P> A typemap is nothing more than a code generation rule that is
attached to a specific C datatype. For example, to convert integers
from Tcl to C, you might define a typemap like this:
</P> if (Tcl_GetIntFromObj(interp,$input,
&$
1) == TCL_ERROR) return TCL_ERROR;
printf(
"Received an integer : %d\n
",$
1);
<P> Typemaps are always associated with some specific aspect of code
generation. In this case, the
"in
" method refers to the conversion of
input arguments to C/C++. The datatype
<TT>int
</TT> is the datatype to
which the typemap will be applied. The supplied C code is used to
convert values. In this code a number of special variable prefaced by a
<TT>$
</TT> are used. The
<TT>$
1</TT> variable is placeholder for a
local variable of type
<TT>int
</TT>. The
<TT>$input
</TT> variable is
the input object of type
<TT>Tcl_Obj *
</TT>.
</P><P> When this example is compiled into a Tcl module, it operates as
<P> In this example, the typemap is applied to all occurrences of the
<TT>
int
</TT> datatype. You can refine this by supplying an optional
parameter name. For example:
</P> if (Tcl_GetIntFromObj(interp,$input,
&$
1) == TCL_ERROR) return TCL_ERROR;
printf(
"n = %d\n
",$
1);
<P> In this case, the typemap code is only attached to arguments that
exactly match
<TT>int n
</TT>.
</P><P> The application of a typemap to specific datatypes and argument
names involves more than simple text-matching--typemaps are fully
integrated into the SWIG type-system. When you define a typemap for
<TT>int
</TT>, that typemap applies to
<TT>int
</TT> and qualified variations
such as
<TT>const int
</TT>. In addition, the typemap system follows
<TT>typedef
</TT> declarations. For example:
</P> if (Tcl_GetIntFromObj(interp,$input,
&$
1) == TCL_ERROR) return TCL_ERROR;
printf(
"n = %d\n
",$
1);
extern int fact(Integer n); // Above typemap is applied
<P> However, the matching of
<TT>typedef
</TT> only occurs in one
direction. If you defined a typemap for
<TT>Integer
</TT>, it is not
applied to arguments of type
<TT>int
</TT>.
</P><P> Typemaps can also be defined for groups of consecutive arguments.
%typemap(in) (char *str, int len) {
$
1 = Tcl_GetStringFromObj($input,
&$
2);
int count(char c, char *str, int len);
<P> When a multi-argument typemap is defined, the arguments are always
handled as a single Tcl object. This allows the function to be used
like this (notice how the length parameter is ommitted):
</P>% count e
"Hello World
"<H3><A name=
"Tcl_nn36"></A>28.7.2 Tcl typemaps
</H3>
<P> The previous section illustrated an
"in
" typemap for converting Tcl
objects to C. A variety of different typemap methods are defined by the
Tcl module. For example, to convert a C integer back into a Tcl object,
you might define an
"out
" typemap like this:
</P> Tcl_SetObjResult(interp,Tcl_NewIntObj($
1));
<P> The following list details all of the typemap methods that can be
used by the Tcl module:
</P><P> <TT>%typemap(in)
</TT></P>
<DIV class=
"indent"> Converts Tcl objects to input function arguments
</DIV>
<P> <TT>%typemap(out)
</TT></P>
<DIV class=
"indent"> Converts return value of a C function to a Tcl
<P> <TT>%typemap(varin)
</TT></P>
<DIV class=
"indent"> Assigns a C global variable from a Tcl object
</DIV>
<P> <TT>%typemap(varout)
</TT></P>
<DIV class=
"indent"> Returns a C global variable as a Tcl object
</DIV>
<P> <TT>%typemap(freearg)
</TT></P>
<DIV class=
"indent"> Cleans up a function argument (if necessary)
</DIV>
<P> <TT>%typemap(argout)
</TT></P>
<DIV class=
"indent"> Output argument processing
</DIV>
<P> <TT>%typemap(ret)
</TT></P>
<DIV class=
"indent"> Cleanup of function return values
</DIV>
<P> <TT>%typemap(consttab)
</TT></P>
<DIV class=
"indent"> Creation of Tcl constants (constant table)
</DIV>
<P> <TT>%typemap(constcode)
</TT></P>
<DIV class=
"indent"> Creation of Tcl constants (init function)
</DIV>
<P> <TT>%typemap(memberin)
</TT></P>
<DIV class=
"indent"> Setting of structure/class member data
</DIV>
<P> <TT>%typemap(globalin)
</TT></P>
<DIV class=
"indent"> Setting of C global variables
</DIV>
<P> <TT>%typemap(check)
</TT></P>
<DIV class=
"indent"> Checks function input values.
</DIV>
<P> <TT>%typemap(default)
</TT></P>
<DIV class=
"indent"> Set a default value for an argument (making it
<P> <TT>%typemap(arginit)
</TT></P>
<DIV class=
"indent"> Initialize an argument to a value before any
<P> Examples of these methods will appear shortly.
</P>
<H3><A name=
"Tcl_nn37"></A>28.7.3 Typemap variables
</H3>
<P> Within typemap code, a number of special variables prefaced with a
<TT>
$
</TT> may appear. A full list of variables can be found in the
"<A href=
"#Typemaps">Typemaps
</A>" chapter. This is a list of the most common variables:
</P><DIV class=
"indent"> A C local variable corresponding to the actual type
specified in the
<TT>%typemap
</TT> directive. For input values, this is
a C local variable that's supposed to hold an argument value. For
output values, this is the raw result that's supposed to be returned to
<DIV class=
"indent"> A
<TT>Tcl_Obj *
</TT> holding a raw Tcl object with
an argument or variable value.
</DIV><DIV class=
"indent"> A
<TT>Tcl_Obj *
</TT> that holds the result to be
<DIV class=
"indent"> The parameter name that was matched.
</DIV>
<DIV class=
"indent"> The actual C datatype matched by the typemap.
</DIV>
<P> <TT>$
1_ltype
</TT></P>
<DIV class=
"indent"> An assignable version of the datatype matched by
the typemap (a type that can appear on the left-hand-side of a C
assignment operation). This type is stripped of qualifiers and may be
an altered version of
<TT>$
1_type
</TT>. All arguments and local
variables in wrapper functions are declared using this type so that
their values can be properly assigned.
</DIV><P> <TT>$symname
</TT></P>
<DIV class=
"indent"> The Tcl name of the wrapper function being created.
</DIV>
<H3><A name=
"Tcl_nn38"></A>28.7.4 Converting a Tcl list to a char **
</H3>
<P> A common problem in many C programs is the processing of command
line arguments, which are usually passed in an array of NULL terminated
strings. The following SWIG interface file allows a Tcl list to be used
as a
<TT>char **
</TT> object.
</P>// This tells SWIG to treat char ** as a special case
if (Tcl_ListObjGetElements(interp, $input,
&nitems,
&listobjv) == TCL_ERROR) {
$
1 = (char **) malloc((nitems+
1)*sizeof(char *));
for (i =
0; i
< nitems; i++) {
$
1[i] = Tcl_GetStringFromObj(listobjv[i],
0);
// This gives SWIG some cleanup code that will get called after the function call
%typemap(freearg) char ** {
int print_args(char **argv) {
printf(
"argv[%d] = %s\n
", i,argv[i]);
% print_args {John Guido Larry}
<H3><A name=
"Tcl_nn39"></A>28.7.5 Returning values in arguments
</H3>
<P> The
"argout
" typemap can be used to return a value originating from
a function argument. For example :
</P>// A typemap defining how to return an argument by appending it to the result
%typemap(argout) double *outvalue {
Tcl_Obj *o = Tcl_NewDoubleObj($
1);
Tcl_ListObjAppendElement(interp,$result,o);
// A typemap telling SWIG to ignore an argument for input
// However, we still need to pass a pointer to the C function
%typemap(in,numinputs=
0) double *outvalue (double temp) {
// Now a function returning two values
int mypow(double a, double b, double *outvalue) {
if ((a
< 0) || (b
< 0)) return -
1;
<P> When wrapped, SWIG matches the
<TT>argout
</TT> typemap to the
"<TT>
double *outvalue
</TT>" argument. The numinputs=
0 specification tells
SWIG to simply ignore this argument when generating wrapper code. As a
result, a Tcl function using these typemaps will work like this :
</P>% mypow
2 3 # Returns two values, a status value and the result
<H3><A name=
"Tcl_nn40"></A>28.7.6 Useful functions
</H3>
<P> The following tables provide some functions that may be useful in
writing Tcl typemaps.
</P>Tcl_Obj *Tcl_NewIntObj(int Value);
void Tcl_SetIntObj(Tcl_Obj *obj, int Value);
int Tcl_GetIntFromObj(Tcl_Interp *, Tcl_Obj *obj, int *ip);
<P><B> Floating Point
</B></P>
Tcl_Obj *Tcl_NewDoubleObj(double Value);
void Tcl_SetDoubleObj(Tcl_Obj *obj, double value);
int Tcl_GetDoubleFromObj(Tcl_Interp *, Tcl_Obj *o, double *dp);
Tcl_Obj *Tcl_NewStringObj(char *str, int len);
void Tcl_SetStringObj(Tcl_Obj *obj, char *str, int len);
char *Tcl_GetStringFromObj(Tcl_Obj *obj, int *len);
void Tcl_AppendToObj(Tcl_Obj *obj, char *str, int len);
Tcl_Obj *Tcl_NewListObj(int objc, Tcl_Obj *objv);
int Tcl_ListObjAppendList(Tcl_Interp *, Tcl_Obj *listPtr, Tcl_Obj *elemListPtr);
int Tcl_ListObjAppendElement(Tcl_Interp *, Tcl_Obj *listPtr, Tcl_Obj *element);
int Tcl_ListObjGetElements(Tcl_Interp *, Tcl_Obj *listPtr, int *objcPtr,
int Tcl_ListObjLength(Tcl_Interp *, Tcl_Obj *listPtr, int *intPtr);
int Tcl_ListObjIndex(Tcl_Interp *, Tcl_Obj *listPtr, int index,
int Tcl_ListObjReplace(Tcl_Interp *, Tcl_Obj *listPtr, int first, int count,
int objc, Tcl_Obj *objv);
Tcl_Obj *Tcl_DuplicateObj(Tcl_Obj *obj);
void Tcl_IncrRefCount(Tcl_Obj *obj);
void Tcl_DecrRefCount(Tcl_Obj *obj);
int Tcl_IsShared(Tcl_Obj *obj);
<H3><A name=
"Tcl_nn41"></A>28.7.7 Standard typemaps
</H3>
<P> The following typemaps show how to convert a few common kinds of
objects between Tcl and C (and to give a better idea of how typemaps
<P><B> Integer conversion
</B></P>
%typemap(in) int, short, long {
if (Tcl_GetIntFromObj(interp, $input,
&temp) == TCL_ERROR)
%typemap(out) int, short, long {
Tcl_SetIntObj($result,(int) $
1);
<P><B> Floating point conversion
</B></P>
%typemap(in) float, double {
if (Tcl_GetDoubleFromObj(interp, $input,
&temp) == TCL_ERROR)
%typemap(out) float, double {
Tcl_SetDoubleObj($result, $
1);
<P><B> String Conversion
</B></P>
$
1 = Tcl_GetStringFromObj(interp,
&len);
Tcl_SetStringObj($result,$
1);
<H3><A name=
"Tcl_nn42"></A>28.7.8 Pointer handling
</H3>
<P> SWIG pointers are mapped into Tcl strings containing the hexadecimal
value and type. The following functions can be used to create and read
<P> <TT>int SWIG_ConvertPtr(Tcl_Obj *obj, void **ptr, swig_type_info
<DIV class=
"indent"> Converts a Tcl object
<TT>obj
</TT> to a C pointer.
The result of the conversion is placed into the pointer located at
<TT>ptr
</TT>.
<TT>ty
</TT> is a SWIG type descriptor structure.
<TT>flags
</TT> is used to handle error checking and other aspects of conversion. It is
currently reserved for future expansion. Returns
0 on success and -
1 on
<P> <TT>Tcl_Obj *SWIG_NewPointerObj(void *ptr, swig_type_info *ty, int
<DIV class=
"indent"> Creates a new Tcl pointer object.
<TT>ptr
</TT> is
the pointer to convert,
<TT>ty
</TT> is the SWIG type descriptor
structure that describes the type, and
<TT>own
</TT> is a flag reserved
for future expansion.
</DIV><P> Both of these functions require the use of a special SWIG
type-descriptor structure. This structure contains information about
the mangled name of the datatype, type-equivalence information, as well
as information about converting pointer values under C++ inheritance.
For a type of
<TT>Foo *
</TT>, the type descriptor structure is usually
if (SWIG_ConvertPtr($input, (void **)
&f, SWIGTYPE_p_Foo,
0) == -
1) return NULL;
obj = SWIG_NewPointerObj(f, SWIGTYPE_p_Foo,
0);
<P> In a typemap, the type descriptor should always be accessed using
the special typemap variable
<TT>$
1_descriptor
</TT>. For example:
</P> if ((SWIG_ConvertPtr($input,(void **)
&$
1, $
1_descriptor,
0)) == -
1) return NULL;
<P> If necessary, the descriptor for any type can be obtained using the
<TT>
$descriptor()
</TT> macro in a typemap. For example:
</P> if ((SWIG_ConvertPtr($input,(void **)
&$
1, $descriptor(Foo *),
0)) == -
1) return NULL;
<H2><A name=
"Tcl_nn43"></A>28.8 Turning a SWIG module into a Tcl
<P> Tcl
7.4 introduced the idea of an extension package. By default,
SWIG generates all of the code necessary to create a package. To set
the package version, simply use the
<TT>-pkgversion
</TT> option. For
% swig -tcl -pkgversion
2.3 example.i
<P> After building the SWIG generated module, you need to execute the
"<TT>
pkg_mkIndex
</TT>" command inside tclsh. For example :
</P>% pkg_mkIndex . example.so
<P> This creates a file
"<TT>pkgIndex.tcl
</TT>" with information about
the package. To use your package, you now need to move it to its own
subdirectory which has the same name as the package. For example :
</P> pkgIndex.tcl # The file created by pkg_mkIndex
example.so # The SWIG generated module
<P> Finally, assuming that you're not entirely confused at this point,
make sure that the example subdirectory is visible from the directories
contained in either the
<TT>tcl_library
</TT> or
<TT>auto_path
</TT> variables. At this point you're ready to use the package as follows :
</P>% package require example
<P> If you're working with an example in the current directory and this
doesn't work, do this instead :
</P>% package require example
<P> As a final note, most SWIG examples do not yet use the
<TT>package
</TT>
commands. For simple extensions it may be easier just to use the
<TT>load
</TT> command instead.
</P><H2><A name=
"Tcl_nn44"></A>28.9 Building new kinds of Tcl interfaces (in
<P> One of the most interesting aspects of Tcl and SWIG is that you can
create entirely new kinds of Tcl interfaces in Tcl using the low-level
SWIG accessor functions. For example, suppose you had a library of
helper functions to access arrays :
</P>double *new_double(int size) {
return (double *) malloc(size*sizeof(double));
void delete_double(double *a) {
double get_double(double *a, int index) {
void set_double(double *a, int index, double val) {
return (int *) malloc(size*sizeof(int));
void delete_int(int *a) {
int get_int(int *a, int index) {
int set_int(int *a, int index, int val) {
<P> While these could be called directly, we could also write a Tcl
set ptr [new_$type $size]
set method [lindex $args
0]
set parms [concat $ptr [lrange $args
1 end]]
get {return [eval
"get_$type $parms
"]}
set {return [eval
"set_$type $parms
"]}
delete {eval
"delete_$type $ptr; rename $ptr {}
"}
uplevel
"proc $ptr args {set ptr $ptr; set type $type;$code}
"<P> Our script allows easy array access as follows :
</P>
set a [Array double
100] ;# Create a double [
100]
for {set i
0} {$i
< 100} {incr i
1} { ;# Clear the array
$a set
3 3.1455 ;# Set an individual element
set b [$a get
10] ;# Retrieve an element
set ia [Array int
50] ;# Create an int[
50]
for {set i
0} {$i
< 50} {incr i
1} { ;# Clear it
$ia set
3 7 ;# Set an individual element
set ib [$ia get
10] ;# Get an individual element
<P> The cool thing about this approach is that it makes a common
interface for two different types of arrays. In fact, if we were to add
more C datatypes to our wrapper file, the Tcl code would work with
those as well--without modification. If an unsupported datatype was
requested, the Tcl code would simply return with an error so there is
very little danger of blowing something up (although it is easily
accomplished with an out of bounds array access).
</P><H3><A name=
"Tcl_nn45"></A>28.9.1 Proxy classes
</H3>
<P> A similar approach can be applied to proxy classes (also known as
shadow classes). The following example is provided by Erik Bierwagen
and Paul Saxe. To use it, run SWIG with the
<TT>-noobject
</TT> option
(which disables the builtin object oriented interface). When running
Tcl, simply source this file. Now, objects can be used in a more or
less natural fashion.
</P># Provides a simple object oriented interface using
# SWIG's low level interface.
proc new {objectType handle_r args} {
# Creates a new SWIG object of the given type,
# returning a handle in the variable
"handle_r
".
# Also creates a procedure for the object and a trace on
# the handle variable that deletes the object when the
# handle varibale is overwritten or unset
eval set handle \[new_$objectType $args\]
# Set up the object procedure
proc $handle {cmd args}
"eval ${objectType}_\$cmd $handle \$args
" uplevel trace variable $handle_r uw
"{deleteObject $objectType $handle}
" # Return the handle so that 'new' can be used as an argument to a procedure
proc deleteObject {objectType handle name element op} {
# Check that the object handle has a reasonable form
if {![regexp {_[
0-
9a-f]*_(.+)_p} $handle]} {
error
"deleteObject: not a valid object handle: $handle
" # Remove the object procedure
catch {rename $handle {}}
delete_$objectType $handle
# A synonym for unset that is more familiar to C++ programmers
<P> To use this file, we simply source it and execute commands such as
"new
" and
"delete
" to manipulate objects. For example :
</P>
#include
"list.h
"// Very simple C++ example
List(); // Create a new list
~List(); // Destroy a list
void insert(char *); // Insert a new item into the list
void remove(char *); // Remove item from list
char *get(int n); // Get the nth item in the list
int length; // The current length of the list
static void print(List *l); // Print out the contents of the list
<P> Now a Tcl script using the interface...
</P>
load ./list.so list ; # Load the module
source swig_c++.tcl ; # Source the object file
<P> The cool thing about this example is that it works with any C++
object wrapped by SWIG and requires no special compilation. Proof that
a short, but clever Tcl script can be combined with SWIG to do many
<H1><A name=
"Lua_nn1"></A>29 SWIG and Lua
</H1>
<LI><A href=
"#Lua_nn2">Preliminaries
</A></LI>
<LI><A href=
"#Lua_nn3">Running SWIG
</A>
<LI><A href=
"#Lua_nn4">Compiling and Linking and Interpreter
</A></LI>
<LI><A href=
"#Lua_nn5">Compiling a dynamic module
</A></LI>
<LI><A href=
"#Lua_nn6">Using your module
</A></LI>
<LI><A href=
"#Lua_nn7">A tour of basic C/C++ wrapping
</A>
<LI><A href=
"#Lua_nn8">Modules
</A></LI>
<LI><A href=
"#Lua_nn9">Functions
</A></LI>
<LI><A href=
"#Lua_nn10">Global variables
</A></LI>
<LI><A href=
"#Lua_nn11">Constants and enums
</A></LI>
<LI><A href=
"#Lua_nn12">Pointers
</A></LI>
<LI><A href=
"#Lua_nn13">Structures
</A></LI>
<LI><A href=
"#Lua_nn14">C++ classes
</A></LI>
<LI><A href=
"#Lua_nn15">C++ inheritance
</A></LI>
<LI><A href=
"#Lua_nn16">Pointers, references, values, and arrays
</A></LI>
<LI><A href=
"#Lua_nn17">C++ overloaded functions
</A></LI>
<LI><A href=
"#Lua_nn18">C++ operators
</A></LI>
<LI><A href=
"#Lua_nn19">Class extension with %extend
</A></LI>
<LI><A href=
"#Lua_nn20">C++ templates
</A></LI>
<LI><A href=
"#Lua_nn21">C++ Smart Pointers
</A></LI>
<LI><A href=
"#Lua_nn22">Details on the Lua binding
</A>
<LI><A href=
"#Lua_nn23">Binding global data into the module.
</A></LI>
<LI><A href=
"#Lua_nn24">Userdata and Metatables
</A></LI>
<LI><A href=
"#Lua_nn25">Memory management
</A></LI>
<P> Lua is an extension programming language designed to support general
procedural programming with data description facilities. It also offers
good support for object-oriented programming, functional programming,
and data-driven programming. Lua is intended to be used as a powerful,
light-weight configuration language for any program that needs one. Lua
is implemented as a library, written in clean C (that is, in the common
subset of ANSI C and C++). Its also a
<EM> really
</EM> tiny language,
less than
6000 lines of code, which compiles to
<100 kilobytes of
binary code. It can be found at
<A href=
"http://www.lua.org">http://www.lua.org
</A></P><H2><A name=
"Lua_nn2"></A>29.1 Preliminaries
</H2>
<P> The current SWIG implementation is designed to work with Lua
5.0. It
should work with later versions of Lua, but certainly not with Lua
4.0 due to substantial API changes. ((Currently SWIG generated code has
only been tested on Windows with MingW, though given the nature of Lua,
is should not have problems on other OS's)). It is possible to either
static link or dynamic link a Lua module into the interpreter (normally
Lua static links its libraries, as dynamic linking is not available on
<P> Note: Lua
5.1 (alpha) has just (as of September
05) been released.
The current version of SWIG will produce wrappers which are compatible
with Lua
5.1, though the dynamic loading mechanism has changed (see
below). The configure script and makefiles should work correctly with
with Lua
5.1, though some small tweaks may be needed.
</P><H2><A name=
"Lua_nn3"></A>29.2 Running SWIG
</H2>
<P> Suppose that you defined a SWIG module such as the following:
</P>
#include
"example.h
"<P> To build a Lua module, run SWIG using the
<TT>-lua
</TT> option.
</P>
<P> If building a C++ extension, add the
<TT>-c++
</TT> option:
</P>
$ swig -c++ -lua example.i
<P> This creates a C/C++ source file
<TT>example_wrap.c
</TT> or
<TT>
example_wrap.cxx
</TT>. The generated C source file contains the
low-level wrappers that need to be compiled and linked with the rest of
your C/C++ application to create an extension module.
</P><P> The name of the wrapper file is derived from the name of the input
file. For example, if the input file is
<TT>example.i
</TT>, the name of
the wrapper file is
<TT>example_wrap.c
</TT>. To change this, you can
use the -o option. The wrappered module will export one function
<TT>"int Example_Init(LuaState* L)
"</TT> which must be called to register
the module with the Lua interpreter. The name
"Example_Init
" depends
upon the name of the module. Note: SWIG will automatically capitalise
the module name, so
<TT>"module example;
"</TT> becomes
<TT>"Example_Init
"</TT>.
</P>
<H3><A name=
"Lua_nn4"></A>29.2.1 Compiling and Linking and Interpreter
</H3>
<P> Normally Lua is embedded into another program and will be statically
linked. An extremely simple stand-alone interpreter (
<TT>min.c
</TT>) is
#include
"lua.h
"#include
"lualib.h
"#include
"lauxlib.h
"extern int Example_Init(LuaState* L); // declare the wrapped module
int main(int argc,char* argv[])
printf("%s: <filename.lua>\n",argv[0]);
luaopen_base(L); // load basic libs (eg. print)
Example_Init(L); // load the wrappered module
if (luaL_loadfile(L,argv[1])==0) // load and run the file
printf("unable to load %s\n",argv[1]);
<P> A much improved set of code can be found in the Lua distribution
<TT>
src/lua/lua.c
</TT>. Include your module, just add the external
declaration
& add a
<TT>#define LUA_EXTRALIBS {
"example
",Example_Init}
</TT>, at the relevant place.
</P><P> The exact commands for doing this vary from platform to platform.
Here is a possible set of commands of doing this:
</P>$ gcc -I/usr/include/lua -c min.c -o min.o
$ gcc -I/usr/include/lua -c example_wrap.c -o example_wrap.o
$ gcc -c example.c -o example.o
$ gcc -I/usr/include/lua -L/usr/lib/lua min.o example_wrap.o example.o -o my_lua
<H3><A name=
"Lua_nn5"></A>29.2.2 Compiling a dynamic module
</H3>
<P> Most, but not all platforms support the dynamic loading of modules
(Windows
& Linux do). Refer to the Lua manual to determine if your
platform supports it. For compiling a dynamically loaded module the
same wrapper can be used. The commands will be something like this:
</P>$ gcc -I/usr/include/lua -c example_wrap.c -o example_wrap.o
$ gcc -c example.c -o example.o
$ gcc -shared -I/usr/include/lua -L/usr/lib/lua example_wrap.o example.o -o example.so
<P> You will also need an interpreter with the loadlib function (such as
the default interpreter compiled with Lua). In order to dynamically
load a module you must call the loadlib function with two parameters:
the filename of the shared library, and the function exported by SWIG.
Calling loadlib should return the function, which you then call to
initialise the module
</P>my_init=loadlib(
"example.so
",
"Example_Init
") -- for Unix/Linux
--my_init=loadlib(
"example.dll
",
"Example_Init
") -- for Windows
assert(my_init) -- name sure its not nil
my_init() -- call the init fn of the lib
<P> Or can be done in a single line of Lua code
</P>
assert(loadlib(
"example.so
",
"Example_Init
"))()
<P> Update for Lua
5.1 (alpha):
<BR> The wrappers produced by SWIG can be compiled and linked with Lua
5.1. The loading is now much simpler.
</P>
require(
"example
")
<H3><A name=
"Lua_nn6"></A>29.2.3 Using your module
</H3>
<P> Assuming all goes well, you will be able to this:
</P>
> print(example.gcd(
4,
6))
<H2><A name=
"Lua_nn7"></A>29.3 A tour of basic C/C++ wrapping
</H2>
<P> By default, SWIG tries to build a very natural Lua interface to your
C/C++ code. This section briefly covers the essential aspects of this
<H3><A name=
"Lua_nn8"></A>29.3.1 Modules
</H3>
<P> The SWIG module directive specifies the name of the Lua module. If
you specify `module example', then everything is wrapped into a Lua
table 'example' containing all the functions and variables. When
choosing a module name, make sure you don't use the same name as a
built-in Lua command or standard module name.
</P><H3><A name=
"Lua_nn9"></A>29.3.2 Functions
</H3>
<P> Global functions are wrapped as new Lua built-in functions. For
<P> creates a built-in function
<TT>example.fact(n)
</TT> that works
exactly like you think it does:
</P>> print example.fact(
4)
<P> To avoid name collisions, SWIG create a Lua table which it keeps all
the functions and global variables in. It is possible to copy the
functions out of this and into the global environment with the
following code. This can easily overwrite existing functions, so this
must be used with care.
</P>> for k,v in pairs(example) do _G[k]=v end
<P> It is also possible to rename the module with an assignment.
</P>
> print(example.fact(
4))
<H3><A name=
"Lua_nn10"></A>29.3.3 Global variables
</H3>
<P> Global variables (which are linked to C code) are supported, and
appear to be just another variable in Lua. However the actual mechanism
is more complex. Given a global variable:
</P><P> SWIG will actually generate two functions
<TT>example.Foo_set()
</TT>
and
<TT>example.Foo_get()
</TT>. It then adds a metatable to the table
'example' to call these functions at the correct time (when you attempt
to set or get examples.Foo). Therefore if you were to attempt to assign
the global to another variable, you will get a local copy within the
interpreter, which is no longer linked to the C code.
</P>> c=example.Foo -- c is a COPY of example.Foo, not the same thing
> c=
5 -- this will not effect the original example.Foo
> print(example.Foo,c)
<P> Its is therefore not possible to 'move' the global variable into the
global namespace as it is with functions. It is however, possible to
rename the module with an assignment, to make it more convenient.
</P>> -- e and example are the same table
> -- so e.Foo and example.Foo are the same thing
<P> If a variable is marked with the immutable directive then any
attempts to set this variable are silently ignored.
</P><P> Another interesting feature is that it is not possible to add new
values into the module from within the interpreter, this is because of
the metatable to deal with global variables. It is possible (though not
recommended) to use rawset() to add a new value.
</P>> -- example.PI does not exist
> example.PI=
3.142 -- assign failed, example.PI does still not exist
> -- a rawset will work, after this the value is added
> rawset(example,
"PI
",
3.142)
<H3><A name=
"Lua_nn11"></A>29.3.4 Constants and enums
</H3>
<P> Because Lua doesn't really have the concept of constants, C/C++
constants are not really constant in Lua. They are actually just a copy
of the value into the Lua interpreter. Therefore they can be changed
just as any other value. For example given some constants:
</P>#define SCONST
"Hello World
"enum Days{SUNDAY,MONDAY,TUESDAY,WEDNESDAY,THURSDAY,FRIDAY,SATURDAY};
<P> This is 'effectively' converted into the following Lua code:
</P>
example.SCONST=
"Hello World
"<P> Constants are not guaranteed to remain constant in Lua. The name of
the constant could be accidentally reassigned to refer to some other
object. Unfortunately, there is no easy way for SWIG to generate code
that prevents this. You will just have to be careful.
</P><H3><A name=
"Lua_nn12"></A>29.3.5 Pointers
</H3>
<P> C/C++ pointers are fully supported by SWIG. Furthermore, SWIG has no
problem working with incomplete type information. Given a wrapping of
the
<file.h
> interface:
</P>FILE *fopen(const char *filename, const char *mode);
int fputs(const char *, FILE *);
<P> When wrapped, you will be able to use the functions in a natural way
from Lua. For example:
</P>> f=example.fopen(
"junk
",
"w
")
> example.fputs(
"Hello World
",f)
<P> Unlike many scripting languages, Lua has had support for pointers to
C/C++ object built in for a long time. They are called 'userdata'.
Unlike many other SWIG versions which use some kind of encoded
character string, all objects will be represented as a userdata. The
SWIG-Lua bindings provides a special function
<TT>swig_type()
</TT>,
which if given a userdata object will return the type of object pointed
to as a string (assuming it was a SWIG wrappered object).
</P><P> Lua enforces the integrity of its userdata, so it is virtually
impossible to corrupt the data. But as the user of the pointer, you are
responsible for freeing it, or closing any resources associated with it
(just as you would in a C program). This does not apply so strictly to
classes
& structs (see below). One final note: if a function returns a
NULL pointer, this is not encoded as a userdata, but as a Lua nil.
</P>> f=example.fopen(
"not there
",
"r
") -- this will return a NULL in C
<H3><A name=
"Lua_nn13"></A>29.3.6 Structures
</H3>
<P> If you wrap a C structure, it is also mapped to a Lua userdata. By
adding a metatable to the userdata, this provides a very natural
interface. For example,
</P><P> is used as follows:
</P>
<P> Similar access is provided for unions and the data members of C++
<BR> SWIG will also create a function
<TT>new_Point()
</TT> which also
creates a new Point structure.
</P><P> If you print out the value of p in the above example, you will see
<P> Like the pointer in the previous section, this is held as a
userdata. However, additional features have been added to make this
more usable. SWIG creates some accessor/mutator functions
<TT>Point_set_x()
</TT> and
<TT>Point_get_x()
</TT>. These will be wrappered,
and then added to the metatable added to the userdata. This provides
the natural access to the member variables that were shown above (see
end of the document for full details).
</P><P> <TT>const
</TT> members of a structure are read-only. Data members
can also be forced to be read-only using the immutable directive. As
with other immutable's, setting attempts will be silently ignored. For
int x; // Read-only members
<P> The mechanism for managing char* members as well as array members is
similar to other languages. It is somewhat cumbersome and should
probably be better handled by defining of typemaps (described later).
</P><P> When a member of a structure is itself a structure, it is handled as
a pointer. For example, suppose you have two structures like this:
</P><P> Now, suppose that you access the f attribute of Bar like this:
</P>
<P> In this case, x is a pointer that points to the Foo that is inside
b. This is the same value as generated by this C code:
</P>Foo *x =
&b-
>f; // Points inside b
<P> Because the pointer points inside the structure, you can modify the
contents and everything works just like you would expect. For example:
</P>> b.f.a =
3 -- Modify attribute of structure member
> x.a =
3 -- Modifies the same structure
<H3><A name=
"Lua_nn14"></A>29.3.7 C++ classes
</H3>
<P> C++ classes are wrapped by a Lua userdata as well. For example, if
<P> you can use it in Lua like this:
</P>
> l.insert(
"Ale
")
> l.insert(
"Stout
")
> l.insert(
"Lager
")
<P> Class data members are accessed in the same manner as C structures.
Static class members present a special problem for Lua, as Lua doesn't
have support for such features. Therefore, SWIG generates wrappers that
try to work around some of these issues. To illustrate, suppose you
have a class like this:
</P><P> In Lua, the static members can be accessed as follows:
</P>
> example.Spam_foo() -- Spam::foo() the only way currently
> a=example.Spam_bar_get() -- Spam::bar the hard way
> a=example.Spam_bar -- Spam::bar the nicer way
> example.Spam_bar_set(b) -- Spam::bar the hard way
> example.Spam_bar=b -- Spam::bar the nicer way
<P> It is not (currently) possible to access static members of an
> s=example.Spam() -- s is a Spam instance
> s.foo() -- Spam::foo() via an instance
<H3><A name=
"Lua_nn15"></A>29.3.8 C++ inheritance
</H3>
<P> SWIG is fully aware of issues related to C++ inheritance. Therefore,
if you have classes like this
</P><P> And if you have functions like this
</P>
<P> then the function
<TT>spam()
</TT> accepts a Foo pointer or a pointer
to any class derived from Foo.
</P><P> It is safe to use multiple inheritance with SWIG.
</P>
<H3><A name=
"Lua_nn16"></A>29.3.9 Pointers, references, values, and
<P> In C++, there are many different ways a function might receive and
manipulate objects. For example:
</P><PRE>void spam1(Foo *x); // Pass by pointer
void spam2(Foo
&x); // Pass by reference
void spam3(Foo x); // Pass by value
void spam4(Foo x[]); // Array of objects
<P> In SWIG, there is no detailed distinction like this--specifically,
there are only
"objects
". There are no pointers, references, arrays,
and so forth. Because of this, SWIG unifies all of these types together
in the wrapper code. For instance, if you actually had the above
functions, it is perfectly legal to do this:
</P>> f = Foo() -- Create a Foo
> spam1(f) -- Ok. Pointer
> spam2(f) -- Ok. Reference
> spam3(f) -- Ok. Value.
> spam4(f) -- Ok. Array (
1 element)
<P> Similar behaviour occurs for return values. For example, if you had
<P> then all three functions will return a pointer to some Foo object.
Since the third function (spam7) returns a value, newly allocated
memory is used to hold the result and a pointer is returned (Lua will
release this memory when the return value is garbage collected). The
other two are pointers which are assumed to be managed by the C code
and so will not be garbage collected.
</P><H3><A name=
"Lua_nn17"></A>29.3.10 C++ overloaded functions
</H3>
<P> C++ overloaded functions, methods, and constructors are mostly
supported by SWIG. For example, if you have two functions like this:
</P><P> You can use them in Lua in a straightforward manner:
</P>
> foo(
"Hello
") -- foo(char *c)
<P> However due to Lua's coercion mechanism is can sometimes do strange
> foo(
"3") --
"3" can be coerced into an int, so it calls foo(int)!
<P> As this coercion mechanism is an integral part of Lua, there is no
easy way to get around this other than renaming of functions (see
<P> Similarly, if you have a class like this,
</P>
<P> you can write Lua code like this:
</P>
> f = Foo() -- Create a Foo
> g = Foo(f) -- Copy f
<P> Overloading support is not quite as flexible as in C++. Sometimes
there are methods that SWIG can't disambiguate. For example:
</P><P> If declarations such as these appear, you will get a warning message
example.i:
12: Warning(
509): Overloaded spam(short) is shadowed by spam(int)
<P> To fix this, you either need to ignore or rename one of the methods.
<PRE>%rename(spam_short) spam(short);
void spam(short); // Accessed as spam_short
<PRE>%ignore spam(short);
void spam(short); // Ignored
<P> SWIG resolves overloaded functions and methods using a
disambiguation scheme that ranks and sorts declarations according to a
set of type-precedence rules. The order in which declarations appear in
the input does not matter except in situations where ambiguity
arises--in this case, the first declaration takes precedence.
</P><P> Please refer to the
"SWIG and C++
" chapter for more information
<P> Dealing with the Lua coercion mechanism, the priority is roughly
(integers, floats, strings, userdata). But it is better to rename the
functions rather than rely upon the ordering.
</P><H3><A name=
"Lua_nn18"></A>29.3.11 C++ operators
</H3>
<P> Certain C++ overloaded operators can be handled automatically by
SWIG. For example, consider a class like this:
</P> Complex(double r =
0, double i =
0) : rpart(r), ipart(i) { }
Complex(const Complex
&c) : rpart(c.rpart), ipart(c.ipart) { }
Complex
&operator=(const Complex
&c);
Complex operator+(const Complex
&c) const;
Complex operator-(const Complex
&c) const;
Complex operator*(const Complex
&c) const;
Complex operator-() const;
double re() const { return rpart; }
double im() const { return ipart; }
<P> When wrapped, it works like you expect:
</P>
<P> (Note: for calling methods of a class, you use
<TT>
class:method(args)
</TT>, not
<TT>class.method(args)
</TT>, its an easy
<P> One restriction with operator overloading support is that SWIG is
not able to fully handle operators that aren't defined as part of the
class. For example, if you had code like this
</P>friend Complex operator+(double, const Complex
&c);
<P> then SWIG doesn't know what to do with the friend function--in fact,
it simply ignores it and issues a warning. You can still wrap the
operator, but you may have to encapsulate it in a special function. For
<PRE>%rename(Complex_add_dc) operator+(double, const Complex
&);
Complex operator+(double, const Complex
&c);
<P> There are ways to make this operator appear as part of the class
using the
<TT>%extend
</TT> directive. Keep reading.
</P><P> Also, be aware that certain operators don't map cleanly to Lua, and
some Lua operators don't map cleanly to C++ operators. For instance,
overloaded assignment operators don't map to Lua semantics and will be
ignored, and C++ doesn't support Lua's concatenation operator (
<TT>..
</TT><P> In order to keep maximum compatibility within the different
languages in SWIG, the Lua bindings uses the same set of operator names
as python. Although internally it renames the functions to something
else (on order to work with Lua).
</P><P> The current list of operators which can be overloaded (and the
alternative function names) are:
</P><LI><TT>__add__
</TT> operator+
</LI>
<LI><TT>__sub__
</TT> operator-
</LI>
<LI><TT>__mul__
</TT> operator *
</LI>
<LI><TT>__div__
</TT> operator/
</LI>
<LI><TT>__neg__
</TT> unary minus
</LI>
<LI><TT>__call__
</TT> operator
<TT>()
</TT> (often used in functor
<LI><TT>__pow__
</TT> the exponential fn (no C++ equivalent, Lua uses
<TT>
<LI><TT>__concat__
</TT> the concatenation operator (SWIG maps C++'s
<TT>
~
</TT> to Lua's
<TT>..
</TT>)
</LI><LI><TT>__eq__
</TT> operator
<TT>==
</TT></LI>
<LI><TT>__lt__
</TT> operator
<TT><</TT></LI>
<LI><TT>__le__
</TT> operator
<TT><=
</TT></LI>
<P> Note: in Lua, only the equals, less than, and less than equals
operators are defined. The other operators (!=,
>,
>=) are achieved by
using a logical not applied to the results of other operators.
</P><P> The following operators cannot be overloaded (mainly because they
are not supported in Lua)
</P><LI>% operator (you have to use math.mod)
</LI>
<LI>assignment operator
</LI>
<LI>all bitwise/logical operations
</LI>
<P> SWIG also accepts the
<TT>__str__()
</TT> member function which
converts an object to a string. This function should return a const
char*, preferably to static memory. This will be used for the
<TT>print()
</TT> and
<TT>tostring()
</TT> functions in Lua. Assuming the
complex class has a function
</P><PRE>const char* __str__()
sprintf(buffer,
"Complex(%g,%g)
",this-
>re(),this-
>im());
<P> Then this will support the following code in Lua
</P>
> s=tostring(e) -- s is the number in string form
<P> It is also possible to overload the operator
<TT>[]
</TT>, but
currently this cannot be automatically performed. To overload the
operator
<TT>[]
</TT> you need to provide two functions,
<TT>__getitem__()
</TT> and
<TT>__setitem__()
</TT></P> double __getitem__(int i)const; // i is the index, returns the data
void __setitem__(int i,double d); // i is the index, d is the data
<H3><A name=
"Lua_nn19"></A>29.3.12 Class extension with %extend
</H3>
<P> One of the more interesting features of SWIG is that it can extend
structures and classes with new methods. In the previous section, the
Complex class would have benefited greatly from an __str__() method as
well as some repairs to the operator overloading. It can also be used
to add additional functions to the class if they are needed.
</P><P> Take the original Complex class
</P>
Complex(double r =
0, double i =
0) : rpart(r), ipart(i) { }
Complex(const Complex
&c) : rpart(c.rpart), ipart(c.ipart) { }
Complex
&operator=(const Complex
&c);
Complex operator+(const Complex
&c) const;
Complex operator-(const Complex
&c) const;
Complex operator*(const Complex
&c) const;
Complex operator-() const;
double re() const { return rpart; }
double im() const { return ipart; }
<P> Now we extend it with some new code
</P>
sprintf(tmp,
"Complex(%g,%g)
", self-
>re(),self-
>im());
bool operator==(const Complex
& c)
{ return (self-
>re()==c.re()
&& self-
>im()==c.im();}
> print(e) -- print uses __str__ to get the string form to print
> print(e==Complex(
10,
12)) -- testing the == operator
> print(e!=Complex(
12,
12)) -- the != uses the == operator
<P> Extend works with both C and C++ code, on classes and structs. It
does not modify the underlying object in any way---the extensions only
show up in the Lua interface. The only item to take note of is the code
has to use the 'self' instead of 'this', and that you cannot access
protected/private members of the code (as you are not officially part
<H3><A name=
"Lua_nn20"></A>29.3.13 C++ templates
</H3>
<P> C++ templates don't present a huge problem for SWIG. However, in
order to create wrappers, you have to tell SWIG to create wrappers for
a particular template instantiation. To do this, you use the template
directive. For example:
</P>#include
"pair.h
"template
<class T1, class T2
> pair(const T1
&, const T2
&);
%template(pairii) pair
<int,int
>;
> p = example.pairii(
3,
4)
> print(p.first,p.second)
<P> Obviously, there is more to template wrapping than shown in this
example. More details can be found in the SWIG and C++ chapter. Some
more complicated examples will appear later.
</P><H3><A name=
"Lua_nn21"></A>29.3.14 C++ Smart Pointers
</H3>
<P> In certain C++ programs, it is common to use classes that have been
wrapped by so-called
"smart pointers.
" Generally, this involves the use
of a template class that implements operator-
>() like this:
</P><PRE>template
<class T
> class SmartPtr {
<P> Then, if you have a class like this,
</P>
<P> A smart pointer would be used in C++ as follows:
</P>
<PRE>SmartPtr
<Foo
> p = CreateFoo(); // Created somehow (not shown)
int y = p-
>bar(); // Foo::bar
<P> To wrap this, simply tell SWIG about the SmartPtr class and the
low-level Foo object. Make sure you instantiate SmartPtr using template
if necessary. For example:
</P>%template(SmartPtrFoo) SmartPtr
<Foo
>;
<P> Now, in Lua, everything should just
"work
":
</P>
> p = example.CreateFoo() -- Create a smart-pointer somehow
> print(p:bar()) -- Foo::bar
<P> If you ever need to access the underlying pointer returned by
<TT>
operator-
>()
</TT> itself, simply use the
<TT>__deref__()
</TT> method.
> f = p:__deref__() -- Returns underlying Foo *
<H2><A name=
"Lua_nn22"></A>29.4 Details on the Lua binding
</H2>
<P> In the previous section, a high-level view of Lua wrapping was
presented. Obviously a lot of stuff happens behind the scenes to make
this happen. This section will explain some of the low-level details on
how this is achieved.
</P><P><I> If you just want to use SWIG and don't care how it works, then
stop reading here. This is going into the guts of the code and how it
works. Its mainly for people who need to know whats going on within the
<H3><A name=
"Lua_nn23"></A>29.4.1 Binding global data into the module.
</H3>
<P> Assuming that you had some global data that you wanted to share
between C and Lua. How does SWIG do it?
</P><P> SWIG will effectively generate the pair of functions
</P>
<PRE>void Foo_set(double);
<P> At initialisation time, it will then add to the interpreter a table
called 'example', which represents the module. It will then add all its
functions to the module. But it also adds a metatable to this table,
which has two functions (
<TT>__index
</TT> and
<TT>__newindex
</TT>) as
well as two tables (
<TT>.get
</TT> and
<TT>.set
</TT>) The following Lua
code will show these hidden features.
</P>> m=getmetatable(example)
> table.foreach(m,print)
__index function:
003F8FE0
__newindex function:
003F8FF8
> table.foreach(g,print)
<P> The .get and .set tables are lookups connecting the variable name
'Foo' to the accessor/mutator functions (Foo_set,Foo_get)
</P><P> The Lua equivalent of the code for the
<TT>__index
</TT> and
<TT>
__newindex
</TT> looks a bit like this
</P>function __index(mod,name)
local g=getmetatable(mod)['.get'] -- gets the table
if not g then return nil end
local f=g[name] -- looks for the function
-- calls it
& returns the value
if type(f)==
"function
" then return f() end
function __newindex(mod,name,value)
local s=getmetatable(mod)['.set'] -- gets the table
local f=s[name] -- looks for the function
-- calls it to set the value
if type(f)==
"function
" then f(value) end
<P> That way when you call '
<TT>a=example.Foo
</TT>', the interpreter
looks at the table 'example' sees that there is no field 'Foo' and
calls __index. This will in turn check in '.get' table and find the
existence of 'Foo' and then return the value of the C function call
'Foo_get()'. Similarly for the code '
<TT>example.Foo=
10</TT>', the
interpreter will check the table, then call the __newindex which will
then check the '.set' table and call the C function 'Foo_set(
10)'.
</P><H3><A name=
"Lua_nn24"></A>29.4.2 Userdata and Metatables
</H3>
<P> As mentioned earlier, classes and structures, are all held as
pointer, using the Lua 'userdata' structure. This structure is actually
a pointer to a C structure 'swig_lua_userdata', which contains the
pointer to the data, a pointer to the swig_type_info (an internal SWIG
struct) and a flag which marks if the object is to be disposed of when
the interpreter no longer needs it. The actual accessing of the object
is done via the metatable attached to this userdata.
</P><P> The metatable is a Lua
5.0 feature (which is also why SWIG cannot
wrap Lua
4.0). Its a table which holds a list of functions, operators
and attributes. This is what gives the userdata the feeling that it is
a real object and not just a hunk of memory.
</P> virtual void Print(){printf(
"Point @%p (%d,%d)\n
",this,x,y);}
<P> SWIG will create a module excpp, with all the various function
inside. However to allow the intuitive use of the userdata is also
creates up a set of metatables. As seen in the above section on global
variables, use of the metatables allows for wrappers to be used
intuitively. To save effort, the code creates one metatable per class
and stores it inside Lua's registry. Then when an new object is
instantiated, the metatable is found in the registry and the userdata
associated to the metatable. Currently derived classes make a complete
copy of the base classes table and then add on their own additional
<P> Some of the internals can be seen by looking at a classes metatable.
</P>
> table.foreach(m,print)
__newindex function:
003FB6B0
__index function:
003FB698
<P> The '.type' attribute is the string which is returned from a call to
swig_type(). The '.get' and '.set' tables work in a similar manner to
the modules, the main difference is the '.fn' table which also holds
all the member functions. (The '__gc' function is the classes
<P> The Lua equivalent of the code for enabling functions looks a little
function __index(obj,name)
local m=getmetatable(obj) -- gets the metatable
if not m then return nil end
local g=m['.get'] -- gets the attribute table
if not g then return nil end
local f=g[name] -- looks for the get_attribute function
-- calls it
& returns the value
if type(f)==
"function
" then return f() end
-- ok, so it not an attribute, maybe its a function
local fn=m['.fn'] -- gets the function table
if not fn then return nil end
local f=fn[name] -- looks for the function
-- if found the fn then return the function
-- so the interpreter can call it
if type(f)==
"function
" then return f end
<P> So when 'p:Print()' is called, the __index looks on the object
metatable for a 'Print' attribute, then looks for a 'Print' function.
When it finds the function, it returns the function, and then
interpreter can call 'Point_Print(p)'
</P><P> In theory, you can play with this usertable
& add new features, but
remember that it is a shared table between all instances of one class,
and you could very easily corrupt the functions in all the instances.
</P><P> Note: Both the opaque structures (like the FILE*) and normal
wrappered classes/structs use the same 'swig_lua_userdata' structure.
Though the opaque structures has do not have a metatable attached, or
any information on how to dispose of them when the interpreter has
<P> Note: Operator overloads are basically done in the same way, by
adding functions such as '__add'
& '__call' to the classes metatable.
The current implementation is a bit rough as it will add any member
function beginning with '__' into the metatable too, assuming its an
<H3><A name=
"Lua_nn25"></A>29.4.3 Memory management
</H3>
<P> Lua is very helpful with the memory management. The
'swig_lua_userdata' is fully managed by the interpreter itself. This
means that neither the C code nor the Lua code can damage it. Once a
piece of userdata has no references to it, it is not instantly
collected, but will be collected when Lua deems is necessary. (You can
force collection by calling the Lua function
<TT>collectgarbage()
</TT>). Once the userdata is about to be free'ed, the interpreter will check
the userdata for a metatable and for a function '__gc'. If this exists
this is called. For all complete types (ie normal wrappered classes
& structs) this should exist. The '__gc' function will check the
'swig_lua_userdata' to check for the 'own' field and if this is true
(which is will be for all owned data's) it will then call the
destructor on the pointer.
</P><P> It is currently not recommended to edit this field or add some user
code, to change the behaviour. Though for those who wish to try, here
<P> It is also currently not possible to change the ownership flag on
the data (unlike most other scripting languages, Lua does not permit
access to the data from within the interpreter)
</P><H1><A name=
"Extending"></A>30 Extending SWIG
</H1>
<LI><A href=
"#Extending_nn2">Introduction
</A></LI>
<LI><A href=
"#Extending_nn3">Prerequisites
</A></LI>
<LI><A href=
"#Extending_nn4">The Big Picture
</A></LI>
<LI><A href=
"#Extending_nn5">Execution Model
</A>
<LI><A href=
"#Extending_nn6">Preprocessing
</A></LI>
<LI><A href=
"#Extending_nn7">Parsing
</A></LI>
<LI><A href=
"#Extending_nn8">Parse Trees
</A></LI>
<LI><A href=
"#Extending_nn9">Attribute namespaces
</A></LI>
<LI><A href=
"#Extending_nn10">Symbol Tables
</A></LI>
<LI><A href=
"#Extending_nn11">The %feature directive
</A></LI>
<LI><A href=
"#Extending_nn12">Code Generation
</A></LI>
<LI><A href=
"#Extending_nn13">SWIG and XML
</A></LI>
<LI><A href=
"#Extending_nn14">Primitive Data Structures
</A>
<LI><A href=
"#Extending_nn15">Strings
</A></LI>
<LI><A href=
"#Extending_nn16">Hashes
</A></LI>
<LI><A href=
"#Extending_nn17">Lists
</A></LI>
<LI><A href=
"#Extending_nn18">Common operations
</A></LI>
<LI><A href=
"#Extending_nn19">Iterating over Lists and Hashes
</A></LI>
<LI><A href=
"#Extending_nn20">I/O
</A></LI>
<LI><A href=
"#Extending_nn21">Navigating and manipulating parse trees
</A>
<LI><A href=
"#Extending_nn22">Working with attributes
</A></LI>
<LI><A href=
"#Extending_nn23">Type system
</A>
<LI><A href=
"#Extending_nn24">String encoding of types
</A></LI>
<LI><A href=
"#Extending_nn25">Type construction
</A></LI>
<LI><A href=
"#Extending_nn26">Type tests
</A></LI>
<LI><A href=
"#Extending_nn27">Typedef and inheritance
</A></LI>
<LI><A href=
"#Extending_nn28">Lvalues
</A></LI>
<LI><A href=
"#Extending_nn29">Output functions
</A></LI>
<LI><A href=
"#Extending_nn30">Parameters
</A></LI>
<LI><A href=
"#Extending_nn31">Writing a Language Module
</A>
<LI><A href=
"#Extending_nn32">Execution model
</A></LI>
<LI><A href=
"#Extending_nn33">Starting out
</A></LI>
<LI><A href=
"#Extending_nn34">Command line options
</A></LI>
<LI><A href=
"#Extending_nn35">Configuration and preprocessing
</A></LI>
<LI><A href=
"#Extending_nn36">Entry point to code generation
</A></LI>
<LI><A href=
"#Extending_nn37">Module I/O and wrapper skeleton
</A></LI>
<LI><A href=
"#Extending_nn38">Low-level code generators
</A></LI>
<LI><A href=
"#Extending_nn39">Configuration files
</A></LI>
<LI><A href=
"#Extending_nn40">Runtime support
</A></LI>
<LI><A href=
"#Extending_nn41">Standard library files
</A></LI>
<LI><A href=
"#Extending_nn42">Examples and test cases
</A></LI>
<LI><A href=
"#Extending_nn43">Documentation
</A></LI>
<LI><A href=
"#Extending_nn44">Typemaps
</A>
<LI><A href=
"#Extending_nn45">Proxy classes
</A></LI>
<LI><A href=
"#Extending_nn46">Guide to parse tree nodes
</A></LI>
<P><B> Caution: This chapter is being rewritten! (
11/
25/
01)
</B></P>
<H2><A name=
"Extending_nn2"></A>30.1 Introduction
</H2>
<P> This chapter describes SWIG's internal organization and the process
by which new target languages can be developed. First, a brief word of
warning---SWIG has been undergoing a massive redevelopment effort that
has focused extensively on its internal organization. The information
in this chapter is mostly up to date, but changes are ongoing. Expect a
<P> Also, this chapter is not meant to be a hand-holding tutorial. As a
starting point, you should probably look at one of SWIG's existing
<H2><A name=
"Extending_nn3"></A>30.2 Prerequisites
</H2>
<P> In order to extend SWIG, it is useful to have the following
<LI>An understanding of the C API for the target language.
</LI>
<LI>A good grasp of the C++ type system.
</LI>
<LI>An understanding of typemaps and some of SWIG's advanced features.
</LI>
<LI>Some familiarity with writing C++ (language modules are currently
<P> Since SWIG is essentially a specialized C++ compiler, it may be
useful to have some prior experience with compiler design (perhaps even
a compilers course) to better understand certain parts of the system. A
number of books will also be useful. For example,
"The C Programming
Language
" by Kernighan and Ritchie (a.k.a,
"K
&R
") and the
"C++
Annotated Reference Manual
" by Stroustrup (a.k.a, the
"ARM
") will be of
<P> Also, it is useful to keep in mind that SWIG primarily operates as
an extension of the C++
<EM> type
</EM> system. At first glance, this
might not be obvious, but almost all SWIG directives as well as the
low-level generation of wrapper code are driven by C++ datatypes.
</P><H2><A name=
"Extending_nn4"></A>30.3 The Big Picture
</H2>
<P> SWIG is a special purpose compiler that parses C++ declarations to
generate wrapper code. To make this conversion possible, SWIG makes
three fundamental extensions to the C++ language:
</P><LI><B>Typemaps
</B>. Typemaps are used to define the
conversion/marshalling behavior of specific C++ datatypes. All type
conversion in SWIG is based on typemaps. Furthermore, the association
of typemaps to datatypes utilizes an advanced pattern matching
mechanism that is fully integrated with the C++ type system.
</LI><LI><B>Declaration Annotation
</B>. To customize wrapper code generation,
most declarations can be annotated with special features. For example,
you can make a variable read-only, you can ignore a declaration, you
can rename a member function, you can add exception handling, and so
forth. Virtually all of these customizations are built on top of a
low-level declaration annotator that can attach arbitrary attributes to
any declaration. Code generation modules can look for these attributes
to guide the wrapping process.
</LI><LI><B>Class extension
</B>. SWIG allows classes and structures to be
extended with new methods and attributes (the
<TT>%extend
</TT> directive). This has the effect of altering the API in the target
language and can be used to generate OO interfaces to C libraries.
</LI><P> It is important to emphasize that virtually all SWIG features reduce
to one of these three fundamental concepts. The type system and pattern
matching rules also play a critical role in making the system work. For
example, both typemaps and declaration annotation are based on pattern
matching and interact heavily with the underlying type system.
</P><H2><A name=
"Extending_nn5"></A>30.4 Execution Model
</H2>
<P> When you run SWIG on an interface, processing is handled in stages
by a series of system components:
</P><LI>An integrated C preprocessor reads a collection of configuration
files and the specified interface file into memory. The preprocessor
performs the usual functions including macro expansion and file
inclusion. However, the preprocessor also performs some transformations
of the interface. For instance,
<TT>#define
</TT> statements are
sometimes transformed into
<TT>%constant
</TT> declarations. In
addition, information related to file/line number tracking is inserted.
</LI><LI>A C/C++ parser reads the preprocessed input and generates a full
parse tree of all of the SWIG directives and C declarations found. The
parser is responsible for many aspects of the system including
renaming, declaration annotation, and template expansion. However, the
parser does not produce any output nor does it interact with the target
language module as it runs. SWIG is not a one-pass compiler.
</LI><LI>A type-checking pass is made. This adjusts all of the C++ typenames
to properly handle namespaces, typedefs, nested classes, and other
issues related to type scoping.
</LI><LI>A semantic pass is made on the parse tree to collect information
related to properties of the C++ interface. For example, this pass
would determine whether or not a class allows a default constructor.
</LI><LI>A code generation pass is made using a specific target language
module. This phase is responsible for generating the actual wrapper
code. All of SWIG's user-defined modules are invoked during this stage
<P> The next few sections briefly describe some of these stages.
</P>
<H3><A name=
"Extending_nn6"></A>30.4.1 Preprocessing
</H3>
<P> The preprocessor plays a critical role in the SWIG implementation.
This is because a lot of SWIG's processing and internal configuration
is managed not by code written in C, but by configuration files in the
SWIG library. In fact, when you run SWIG, parsing starts with a small
interface file like this (note: this explains the cryptic error
messages that new users sometimes get when SWIG is misconfigured or
installed incorrectly):
</P>%include
"swig.swg
" // Global SWIG configuration
%include
"<EM>langconfig.swg
</EM>" // Language specific configuration
%include
"yourinterface.i
" // Your interface file
<P> The
<TT>swig.swg
</TT> file contains global configuration
information. In addition, this file defines many of SWIG's standard
directives as macros. For instance, part of of
<TT>swig.swg
</TT> looks
/* Code insertion directives such as %wrapper %{ ... %} */
#define %init %insert(
"init
")
#define %wrapper %insert(
"wrapper
")
#define %header %insert(
"header
")
#define %runtime %insert(
"runtime
")
/* Access control directives */
#define %immutable %feature(
"immutable
",
"1")
#define %mutable %feature(
"immutable
")
/* Directives for callback functions */
#define %callback(x) %feature(
"callback
") `x`;
#define %nocallback %feature(
"callback
");
#define %ignore %rename($ignore)
#define %ignorewarn(x) %rename(
"$ignore:
" x)
<P> The fact that most of the standard SWIG directives are macros is
intended to simplify the implementation of the internals. For instance,
rather than having to support dozens of special directives, it is
easier to have a few basic primitives such as
<TT>%feature
</TT> or
<TT><P> The
<EM> <TT>langconfig.swg
</TT></EM> file is supplied by the target
language. This file contains language-specific configuration
information. More often than not, this file provides run-time wrapper
support code (e.g., the type-checker) as well as a collection of
typemaps that define the default wrapping behavior. Note: the name of
this file depends on the target language and is usually something like
<TT>python.swg
</TT> or
<TT>perl5.swg
</TT>.
</P><P> As a debugging aide, the text that SWIG feeds to its C++ parser can
be obtained by running
<TT>swig -E interface.i
</TT>. This output
probably isn't too useful in general, but it will show how macros have
been expanded as well as everything else that goes into the low-level
construction of the wrapper code.
</P><H3><A name=
"Extending_nn7"></A>30.4.2 Parsing
</H3>
<P> The current C++ parser handles a subset of C++. Most
incompatibilities with C are due to subtle aspects of how SWIG parses
declarations. Specifically, SWIG expects all C/C++ declarations to
follow this general form:
</P><EM>storage
</EM> <EM>type
</EM> <EM>declarator
</EM> <EM>initializer
</EM>;
<P> <TT><EM>storage
</EM></TT> is a keyword such as
<TT>extern
</TT>,
<TT>
static
</TT>,
<TT>typedef
</TT>, or
<TT>virtual
</TT>.
<TT><EM>type
</EM></TT> is a primitive datatype such as
<TT>int
</TT> or
<TT>void
</TT>.
<TT><EM>type
</EM></TT> may be optionally qualified with a qualifier such as
<TT>const
</TT> or
<TT>volatile
</TT>.
<TT><EM>declarator
</EM></TT> is a name
with additional type-construction modifiers attached to it (pointers,
arrays, references, functions, etc.). Examples of declarators include
<TT>*x
</TT>,
<TT>**x
</TT>,
<TT>x[
20]
</TT>, and
<TT>(*x)(int,double)
</TT>.
The
<TT><EM>initializer
</EM></TT> may be a value assigned using
<TT>=
</TT> or body of code enclosed in braces
<TT>{ ... }
</TT>.
</P><P> This declaration format covers most common C++ declarations.
However, the C++ standard is somewhat more flexible in the placement of
the parts. For example, it is technically legal, although uncommon to
write something like
<TT>int typedef const a
</TT> in your program. SWIG
simply doesn't bother to deal with this case.
</P><P> The other significant difference between C++ and SWIG is in the
treatment of typenames. In C++, if you have a declaration like this,
</P>int blah(Foo *x, Bar *y);
<P> it won't parse correctly unless
<TT>Foo
</TT> and
<TT>Bar
</TT> have
been previously defined as types either using a
<TT>class
</TT> definition or a
<TT>typedef
</TT>. The reasons for this are subtle, but
this treatment of typenames is normally integrated at the level of the
C tokenizer---when a typename appears, a different token is returned to
the parser instead of an identifier.
</P><P> SWIG does not operate in this manner--any legal identifier can be
used as a type name. The reason for this is primarily motivated by the
use of SWIG with partially defined data. Specifically, SWIG is supposed
to be easy to use on interfaces with missing type information.
</P><P> Because of the different treatment of typenames, the most serious
limitation of the SWIG parser is that it can't process type
declarations where an extra (and unnecessary) grouping operator is
int (x); /* A variable x */
int (y)(int); /* A function y */
<P> The placing of extra parentheses in type declarations like this is
already recognized by the C++ community as a potential source of
strange programming errors. For example, Scott Meyers
"Effective STL
" discusses this problem in a section on avoiding C++'s
"most vexing
<P> The parser is also unable to handle declarations with no return type
or bare argument names. For example, in an old C program, you might see
<P> In this case, the return type as well as the types of the arguments
are taken by the C compiler to be an
<TT>int
</TT>. However, SWIG
interprets the above code as an abstract declarator for a function
returning a
<TT>foo
</TT> and taking types
<TT>a
</TT> and
<TT>b
</TT> as
<H3><A name=
"Extending_nn8"></A>30.4.3 Parse Trees
</H3>
<P> The SWIG parser produces a complete parse tree of the input file
before any wrapper code is actually generated. Each item in the tree is
known as a
"Node
". Each node is identified by a symbolic tag.
Furthermore, a node may have an arbitrary number of children. The parse
tree structure and tag names of an interface can be displayed using
<TT>swig -dump_tags
</TT>. For example:
</P>$
<B>swig -c++ -python -dump_tags example.i
</B> . top . include (example.i:
1)
. top . include . typemap (/r0/beazley/Projects/lib/swig1.3/swig.swg:
71)
. top . include . typemap . typemapitem (/r0/beazley/Projects/lib/swig1.3/swig.swg:
71)
. top . include . typemap (/r0/beazley/Projects/lib/swig1.3/swig.swg:
83)
. top . include . typemap . typemapitem (/r0/beazley/Projects/lib/swig1.3/swig.swg:
83)
. top . include (example.i:
4)
. top . include . insert (/r0/beazley/Projects/lib/swig1.3/python/python.swg:
7)
. top . include . insert (/r0/beazley/Projects/lib/swig1.3/python/python.swg:
8)
. top . include . typemap (/r0/beazley/Projects/lib/swig1.3/python/python.swg:
19)
. top . include (example.i:
6)
. top . include . module (example.i:
2)
. top . include . insert (example.i:
6)
. top . include . include (example.i:
9)
. top . include . include . class (example.h:
3)
. top . include . include . class . access (example.h:
4)
. top . include . include . class . constructor (example.h:
7)
. top . include . include . class . destructor (example.h:
10)
. top . include . include . class . cdecl (example.h:
11)
. top . include . include . class . cdecl (example.h:
11)
. top . include . include . class . cdecl (example.h:
12)
. top . include . include . class . cdecl (example.h:
13)
. top . include . include . class . cdecl (example.h:
14)
. top . include . include . class . cdecl (example.h:
15)
. top . include . include . class (example.h:
18)
. top . include . include . class . access (example.h:
19)
. top . include . include . class . cdecl (example.h:
20)
. top . include . include . class . access (example.h:
21)
. top . include . include . class . constructor (example.h:
22)
. top . include . include . class . cdecl (example.h:
23)
. top . include . include . class . cdecl (example.h:
24)
. top . include . include . class (example.h:
27)
. top . include . include . class . access (example.h:
28)
. top . include . include . class . cdecl (example.h:
29)
. top . include . include . class . access (example.h:
30)
. top . include . include . class . constructor (example.h:
31)
. top . include . include . class . cdecl (example.h:
32)
. top . include . include . class . cdecl (example.h:
33)
<P> Even for the most simple interface, the parse tree structure is
larger than you might expect. For example, in the above output, a
substantial number of nodes are actually generated by the
<TT>python.swg
</TT> configuration file which defines typemaps and other
directives. The contents of the user-supplied input file don't appear
until the end of the output.
</P><P> The contents of each parse tree node consist of a collection of
attribute/value pairs. Internally, the nodes are simply represented by
hash tables. A display of the parse-tree structure can be obtained
using
<TT>swig -dump_tree
</TT>. For example:
</P>$ swig -c++ -python -dump_tree example.i
+++ include ----------------------------------------
| name -
"example.i
" +++ module ----------------------------------------
| name -
"example
" +++ insert ----------------------------------------
| code -
"\n#include \
"example.h\
"\n
" +++ include ----------------------------------------
| name -
"example.h
" +++ class ----------------------------------------
| abstract -
"1" | sym:name -
"Shape
" | name -
"Shape
" | kind -
"class
" | sym:symtab -
0x40191078 +++ access ----------------------------------------
| kind -
"public
" +++ constructor ----------------------------------------
| sym:name -
"Shape
" | name -
"Shape
" | decl -
"f().
" | code -
"{\n nshapes++;\n }
" | sym:symtab -
0x40194140 +++ destructor ----------------------------------------
| sym:name -
"~Shape
" | name -
"~Shape
" | storage -
"virtual
" | code -
"{\n nshapes--;\n }
" | sym:symtab -
0x40194140 +++ cdecl ----------------------------------------
| sym:name -
"x
" | type -
"double
" | sym:symtab -
0x40194140 +++ cdecl ----------------------------------------
| sym:name -
"y
" | type -
"double
" | sym:symtab -
0x40194140 +++ cdecl ----------------------------------------
| sym:name -
"move
" | name -
"move
" | decl -
"f(double,double).
" | type -
"void
" | sym:symtab -
0x40194140 +++ cdecl ----------------------------------------
| sym:name -
"area
" | name -
"area
" | decl -
"f(void).
" | storage -
"virtual
" | type -
"double
" | sym:symtab -
0x40194140 +++ cdecl ----------------------------------------
| sym:name -
"perimeter
" | name -
"perimeter
" | decl -
"f(void).
" | storage -
"virtual
" | type -
"double
" | sym:symtab -
0x40194140 +++ cdecl ----------------------------------------
| sym:name -
"nshapes
" | name -
"nshapes
" | storage -
"static
" | sym:symtab -
0x40194140 +++ class ----------------------------------------
| sym:name -
"Circle
" | name -
"Circle
" | kind -
"class
" | sym:symtab -
0x40191078 +++ access ----------------------------------------
| kind -
"private
" +++ cdecl ----------------------------------------
| name -
"radius
" | type -
"double
" +++ access ----------------------------------------
| kind -
"public
" +++ constructor ----------------------------------------
| sym:name -
"Circle
" | name -
"Circle
" | decl -
"f(double).
" | sym:symtab -
0x40194538 +++ cdecl ----------------------------------------
| sym:name -
"area
" | name -
"area
" | decl -
"f(void).
" | storage -
"virtual
" | type -
"double
" | sym:symtab -
0x40194538 +++ cdecl ----------------------------------------
| sym:name -
"perimeter
" | name -
"perimeter
" | decl -
"f(void).
" | storage -
"virtual
" | type -
"double
" | sym:symtab -
0x40194538 +++ class ----------------------------------------
| sym:name -
"Square
" | name -
"Square
" | kind -
"class
" | sym:symtab -
0x40191078 +++ access ----------------------------------------
| kind -
"private
" +++ cdecl ----------------------------------------
| name -
"width
" | type -
"double
" +++ access ----------------------------------------
| kind -
"public
" +++ constructor ----------------------------------------
| sym:name -
"Square
" | name -
"Square
" | decl -
"f(double).
" | sym:symtab -
0x40194788 +++ cdecl ----------------------------------------
| sym:name -
"area
" | name -
"area
" | decl -
"f(void).
" | storage -
"virtual
" | type -
"double
" | sym:symtab -
0x40194788 +++ cdecl ----------------------------------------
| sym:name -
"perimeter
" | name -
"perimeter
" | decl -
"f(void).
" | storage -
"virtual
" | type -
"double
" | sym:symtab -
0x40194788<H3><A name=
"Extending_nn9"></A>30.4.4 Attribute namespaces
</H3>
<P> Attributes of parse tree nodes are often prepended with a namespace
qualifier. For example, the attributes
<TT>sym:name
</TT> and
<TT>sym:symtab
</TT> are attributes related to symbol table management and
are prefixed with
<TT>sym:
</TT>. As a general rule, only those
attributes which are directly related to the raw declaration appear
without a prefix (type, name, declarator, etc.).
</P><P> Target language modules may add additional attributes to nodes to
assist the generation of wrapper code. The convention for doing this is
to place these attributes in a namespace that matches the name of the
target language. For example,
<TT>python:foo
</TT> or
<TT>perl:foo
</TT>.
</P><H3><A name=
"Extending_nn10"></A>30.4.5 Symbol Tables
</H3>
<P> During parsing, all symbols are managed in the space of the target
language. The
<TT>sym:name
</TT> attribute of each node contains the
symbol name selected by the parser. Normally,
<TT>sym:name
</TT> and
<TT>name
</TT> are the same. However, the
<TT>%rename
</TT> directive can be
used to change the value of
<TT>sym:name
</TT>. You can see the effect
of
<TT>%rename
</TT> by trying it on a simple interface and dumping the
parse tree. For example:
</P>%rename(foo_d) foo(double);
<P> Now, running SWIG:
</P>
$ swig -dump_tree example.i
+++ cdecl ----------------------------------------
| sym:name -
"foo_i
" | decl -
"f(int).
" | type -
"void
" | sym:symtab -
0x40165078 +++ cdecl ----------------------------------------
| sym:name -
"foo_d
" | decl -
"f(double).
" | type -
"void
" | sym:symtab -
0x40165078 +++ cdecl ----------------------------------------
| sym:name -
"foo
" | decl -
"f(p.Bar).
" | type -
"void
" | sym:symtab -
0x40165078<P> All symbol-related conflicts and complaints about overloading are
based on
<TT>sym:name
</TT> values. For instance, the following example
uses
<TT>%rename
</TT> in reverse to generate a name clash.
</P>%rename(foo) foo_d(double;
<P> When you run SWIG on this you now get:
</P>
example.i:
6. Overloaded declaration ignored. foo_d(double )
example.i:
5. Previous declaration is foo_i(int )
example.i:
7. Overloaded declaration ignored. foo(Bar *)
example.i:
5. Previous declaration is foo_i(int )
<H3><A name=
"Extending_nn11"></A>30.4.6 The %feature directive
</H3>
<P> A number of SWIG directives such as
<TT>%exception
</TT> are
implemented using the low-level
<TT>%feature
</TT> directive. For
%feature(
"except
") getitem(int) {
Object *getitem(int index) throws(badindex);
<P> The behavior of
<TT>%feature
</TT> is very easy to describe--it
simply attaches a new attribute to any parse tree node that matches the
given prototype. When a feature is added, it shows up as an attribute
in the
<TT>feature:
</TT> namespace. You can see this when running with
the
<TT>-dump_tree
</TT> option. For example:
</P> +++ cdecl ----------------------------------------
| sym:name -
"getitem
" | name -
"getitem
" | decl -
"f(int).p.
" | type -
"Object
" | feature:except -
"{\n try {\n $action\n } catc...
" | sym:symtab -
0x40168ac8<P> Feature names are completely arbitrary and a target language module
can be programmed to respond to any feature name that it wants to
recognized. The data stored in a feature attribute is usually just a
raw unparsed string. For example, the exception code above is simply
stored without any modifications.
</P><H3><A name=
"Extending_nn12"></A>30.4.7 Code Generation
</H3>
<P> Language modules work by defining handler functions that know how to
respond to different types of parse-tree nodes. These handlers simply
look at the attributes of each node in order to produce low-level code.
</P><P> In reality, the generation of code is somewhat more subtle than
simply invoking handler functions. This is because parse-tree nodes
might be transformed. For example, suppose you are wrapping a class
<P> When the parser constructs a node for the member
<TT>bar
</TT>, it
creates a raw
"cdecl
" node with the following attributes:
</P><P> To produce wrapper code, this
"cdecl
" node undergoes a number of
transformations. First, the node is recognized as a function
declaration. This adjusts some of the type information--specifically,
the declarator is joined with the base datatype to produce this:
</P>type : p.int
<-- Notice change in return type
<P> Next, the context of the node indicates that the node is really a
member function. This produces a transformation to a low-level accessor
parms : Foo *self, int x
<-- Added parameter
wrap:action : result = (arg1)-
>bar(arg2)
<-- Action code added
sym:name : Foo_bar
<-- Symbol name changed
<P> In this transformation, notice how an additional parameter was added
to the parameter list and how the symbol name of the node has suddenly
changed into an accessor using the naming scheme described in the
"SWIG
Basics
" chapter. A small fragment of
"action
" code has also been
generated--notice how the
<TT>wrap:action
</TT> attribute defines the
access to the underlying method. The data in this transformed node is
then used to generate a wrapper.
</P><P> Language modules work by registering handler functions for dealing
with various types of nodes at different stages of transformation. This
is done by inheriting from a special
<TT>Language
</TT> class and
defining a collection of virtual methods. For example, the Python
module defines a class as follows:
</P>class PYTHON : public Language {
virtual void main(int, char *argv[]);
virtual int functionWrapper(Node *);
virtual int constantWrapper(Node *);
virtual int variableWrapper(Node *);
virtual int nativeWrapper(Node *);
virtual int membervariableHandler(Node *);
virtual int memberconstantHandler(Node *);
virtual int memberfunctionHandler(Node *);
virtual int constructorHandler(Node *);
virtual int destructorHandler(Node *);
virtual int classHandler(Node *);
virtual int classforwardDeclaration(Node *);
virtual int insertDirective(Node *);
virtual int importDirective(Node *);
<P> The role of these functions is described shortly.
</P>
<H3><A name=
"Extending_nn13"></A>30.4.8 SWIG and XML
</H3>
<P> Much of SWIG's current parser design was originally motivated by
interest in using XML to represent SWIG parse trees. Although XML is
not currently used in any direct manner, the parse tree structure, use
of node tags, attributes, and attribute namespaces are all influenced
by aspects of XML parsing. Therefore, in trying to understand SWIG's
internal data structures, it may be useful keep XML in the back of your
<H2><A name=
"Extending_nn14"></A>30.5 Primitive Data Structures
</H2>
<P> Most of SWIG is constructed using three basic data structures:
strings, hashes, and lists. These data structures are dynamic in same
way as similar structures found in many scripting languages. For
instance, you can have containers (lists and hash tables) of mixed
types and certain operations are polymorphic.
</P><P> This section briefly describes the basic structures so that later
sections of this chapter make more sense.
</P><P> When describing the low-level API, the following type name
conventions are used:
</P><LI><TT>String
</TT>. A string object.
</LI>
<LI><TT>Hash
</TT>. A hash object.
</LI>
<LI><TT>List
</TT>. A list object.
</LI>
<LI><TT>String_or_char
</TT>. A string object or a
<TT>char *
</TT>.
</LI>
<LI><TT>Object_or_char
</TT>. An object or a
<TT>char *
</TT>.
</LI>
<LI><TT>Object
</TT>. Any object (string, hash, list, etc.)
</LI>
<P> In most cases, other typenames in the source are aliases for one of
these primitive types. Specifically:
</P><H3><A name=
"Extending_nn15"></A>30.5.1 Strings
</H3>
<P><B> <TT>String *NewString(const String_or_char *val)
</TT></B></P>
<DIV class=
"indent"> Creates a new string with initial value
<TT>val
</TT>
.
<TT>val
</TT> may be a
<TT>char *
</TT> or another
<TT>String
</TT> object. If you want to create an empty string, use
"" for val.
</DIV><P><B> <TT>String *NewStringf(const char *fmt, ...)
</TT></B></P>
<DIV class=
"indent"> Creates a new string whose initial value is set
according to a C
<TT>printf
</TT> style format string in
<TT>fmt
</TT>.
Additional arguments follow depending on
<TT>fmt
</TT>.
</DIV><P><B> <TT>String *Copy(String *s)
</TT></B></P>
<DIV class=
"indent"> Make a copy of the string
<TT>s
</TT>.
</DIV>
<P><B> <TT>void Delete(String *s)
</TT></B></P>
<DIV class=
"indent"> Deletes
<TT>s
</TT>.
</DIV>
<P><B> <TT>int Len(String_or_char *s)
</TT></B></P>
<DIV class=
"indent"> Returns the length of the string.
</DIV>
<P><B> <TT>char *Char(String_or_char *s)
</TT></B></P>
<DIV class=
"indent"> Returns a pointer to the first character in a
<P><B> <TT>void Append(String *s, String_or_char *t)
</TT></B></P>
<DIV class=
"indent"> Appends
<TT>t
</TT> to the end of string
<TT>s
</TT>.
</DIV>
<P><B> <TT>void Insert(String *s, int pos, String_or_char *t)
</TT></B></P>
<DIV class=
"indent"> Inserts
<TT>t
</TT> into
<TT>s
</TT> at position
<TT>
pos
</TT>. The contents of
<TT>s
</TT> are shifted accordingly. The
special value
<TT>DOH_END
</TT> can be used for
<TT>pos
</TT> to indicate
insertion at the end of the string (appending).
</DIV><P><B> <TT>int Strcmp(const String_or_char *s, const String_or_char *t)
</TT>
<DIV class=
"indent"> Compare strings
<TT>s
</TT> and
<TT>t
</TT>. Same as
the C
<TT>strcmp()
</TT> function.
</DIV><P><B> <TT>int Strncmp(const String_or_char *s, const String_or_char *t,
<DIV class=
"indent"> Compare the first
<TT>len
</TT> characters of
strings
<TT>s
</TT> and
<TT>t
</TT>. Same as the C
<TT>strncmp()
</TT><P><B> <TT>char *Strstr(const String_or_char *s, const String_or_char
<DIV class=
"indent"> Returns a pointer to the first occurrence of
<TT>
pat
</TT> in
<TT>s
</TT>. Same as the C
<TT>strstr()
</TT> function.
</DIV><P><B> <TT>char *Strchr(const String_or_char *s, char ch)
</TT></B></P>
<DIV class=
"indent"> Returns a pointer to the first occurrence of
character
<TT>ch
</TT> in
<TT>s
</TT>. Same as the C
<TT>strchr()
</TT><P><B> <TT>void Chop(String *s)
</TT></B></P>
<DIV class=
"indent"> Chops trailing whitespace off the end of
<TT>s
</TT>
<P><B> <TT>int Replace(String *s, const String_or_char *pat, const
String_or_char *rep, int flags)
</TT></B></P><P> Replaces the pattern
<TT>pat
</TT> with
<TT>rep
</TT> in string
<TT>s
</TT>
.
<TT>flags
</TT> is a combination of the following flags:
</P>DOH_REPLACE_ANY - Replace all occurrences
DOH_REPLACE_ID - Valid C identifiers only
DOH_REPLACE_NOQUOTE - Don't replace in quoted strings
DOH_REPLACE_FIRST - Replace first occurrence only.
<P> Returns the number of replacements made (if any).
</P>
<H3><A name=
"Extending_nn16"></A>30.5.2 Hashes
</H3>
<P><B> <TT>Hash *NewHash()
</TT></B></P>
<DIV class=
"indent"> Creates a new empty hash table.
</DIV>
<P><B> <TT>Hash *Copy(Hash *h)
</TT></B></P>
<DIV class=
"indent"> Make a shallow copy of the hash
<TT>h
</TT>.
</DIV>
<P><B> <TT>void Delete(Hash *h)
</TT></B></P>
<DIV class=
"indent"> Deletes
<TT>h
</TT>.
</DIV>
<P><B> <TT>int Len(Hash *h)
</TT></B></P>
<DIV class=
"indent"> Returns the number of items in
<TT>h
</TT>.
</DIV>
<P><B> <TT>Object *Getattr(Hash *h, String_or_char *key)
</TT></B></P>
<DIV class=
"indent"> Gets an object from
<TT>h
</TT>.
<TT>key
</TT> may be
a string or a simple
<TT>char *
</TT> string. Returns NULL if not found.
</DIV><P><B> <TT>int Setattr(Hash *h, String_or_char *key, Object_or_char
<DIV class=
"indent"> Stores
<TT>val
</TT> in
<TT>h
</TT>.
<TT>key
</TT> may
be a string or a simple
<TT>char *
</TT>. If
<TT>val
</TT> is not a
standard object (String, Hash, or List) it is assumed to be a
<TT>char
*
</TT> in which case it is used to construct a
<TT>String
</TT> that is
stored in the hash. If
<TT>val
</TT> is NULL, the object is deleted.
Increases the reference count of
<TT>val
</TT>. Returns
1 if this
operation replaced an existing hash entry,
0 otherwise.
</DIV><P><B> <TT>int Delattr(Hash *h, String_or_char *key)
</TT></B></P>
<DIV class=
"indent"> Deletes the hash item referenced by
<TT>key
</TT>.
Decreases the reference count on the corresponding object (if any).
Returns
1 if an object was removed,
0 otherwise.
</DIV><P><B> <TT>List *Keys(Hash *h)
</TT></B></P>
<DIV class=
"indent"> Returns the list of hash table keys.
</DIV>
<H3><A name=
"Extending_nn17"></A>30.5.3 Lists
</H3>
<P><B> <TT>List *NewList()
</TT></B></P>
<DIV class=
"indent"> Creates a new empty list.
</DIV>
<P><B> <TT>List *Copy(List *x)
</TT></B></P>
<DIV class=
"indent"> Make a shallow copy of the List
<TT>x
</TT>.
</DIV>
<P><B> <TT>void Delete(List *x)
</TT></B></P>
<DIV class=
"indent"> Deletes
<TT>x
</TT>.
</DIV>
<P><B> <TT>int Len(List *x)
</TT></B></P>
<DIV class=
"indent"> Returns the number of items in
<TT>x
</TT>.
</DIV>
<P><B> <TT>Object *Getitem(List *x, int n)
</TT></B></P>
<DIV class=
"indent"> Returns an object from
<TT>x
</TT> with index
<TT>n
</TT>
. If
<TT>n
</TT> is beyond the end of the list, the last item is
returned. If
<TT>n
</TT> is negative, the first item is returned.
</DIV><P><B> <TT>int *Setitem(List *x, int n, Object_or_char *val)
</TT></B></P>
<DIV class=
"indent"> Stores
<TT>val
</TT> in
<TT>x
</TT>. If
<TT>val
</TT>
is not a standard object (String, Hash, or List) it is assumed to be a
<TT>char *
</TT> in which case it is used to construct a
<TT>String
</TT> that
is stored in the list.
<TT>n
</TT> must be in range. Otherwise, an
assertion will be raised.
</DIV><P><B> <TT>int *Delitem(List *x, int n)
</TT></B></P>
<DIV class=
"indent"> Deletes item
<TT>n
</TT> from the list, shifting
items down if necessary. To delete the last item in the list, use the
special value
<TT>DOH_END
</TT> for
<TT>n
</TT>.
</DIV><P><B> <TT>void Append(List *x, Object_or_char *t)
</TT></B></P>
<DIV class=
"indent"> Appends
<TT>t
</TT> to the end of
<TT>x
</TT>. If
<TT>
t
</TT> is not a standard object, it is assumed to be a
<TT>char *
</TT> and is used to create a String object.
</DIV><P><B> <TT>void Insert(String *s, int pos, Object_or_char *t)
</TT></B></P>
<DIV class=
"indent"> Inserts
<TT>t
</TT> into
<TT>s
</TT> at position
<TT>
pos
</TT>. The contents of
<TT>s
</TT> are shifted accordingly. The
special value
<TT>DOH_END
</TT> can be used for
<TT>pos
</TT> to indicate
insertion at the end of the list (appending). If
<TT>t
</TT> is not a
standard object, it is assumed to be a
<TT>char *
</TT> and is used to
create a String object.
</DIV><H3><A name=
"Extending_nn18"></A>30.5.4 Common operations
</H3>
The following operations are applicable to all datatypes.
<P><B> <TT>Object *Copy(Object *x)
</TT></B></P>
<DIV class=
"indent"> Make a copy of the object
<TT>x
</TT>.
</DIV>
<P><B> <TT>void Delete(Object *x)
</TT></B></P>
<DIV class=
"indent"> Deletes
<TT>x
</TT>.
</DIV>
<P><B> <TT>void Setfile(Object *x, String_or_char *f)
</TT></B></P>
<DIV class=
"indent"> Sets the filename associated with
<TT>x
</TT>. Used
to track objects and report errors.
</DIV><P><B> <TT>String *Getfile(Object *x)
</TT></B></P>
<DIV class=
"indent"> Gets the filename associated with
<TT>x
</TT>.
</DIV>
<P><B> <TT>void Setline(Object *x, int n)
</TT></B></P>
<DIV class=
"indent"> Sets the line number associated with
<TT>x
</TT>.
Used to track objects and report errors.
</DIV><P><B> <TT>int Getline(Object *x)
</TT></B></P>
<DIV class=
"indent"> Gets the line number associated with
<TT>x
</TT>.
</DIV>
<H3><A name=
"Extending_nn19"></A>30.5.5 Iterating over Lists and Hashes
</H3>
To iterate over the elements of a list or a hash table, the following
<P><B> <TT>Iterator First(Object *x)
</TT></B></P>
<DIV class=
"indent"> Returns an iterator object that points to the first
item in a list or hash table. The
<TT>item
</TT> attribute of the
Iterator object is a pointer to the item. For hash tables, the
<TT>key
</TT> attribute of the Iterator object additionally points to the
corresponding Hash table key. The
<TT>item
</TT> and
<TT>key
</TT> attributes are NULL if the object contains no items or if there are no
<P><B> <TT>Iterator Next(Iterator i)
</TT></B></P>
<P>Returns an iterator that points to the next item in a list or hash
table. Here are two examples of iteration:
</P>for (i = First(l); i.item; i = Next(i)) {
Printf(stdout,
"%s\n
", i.item);
for (j = First(j); j.item; j= Next(j)) {
Printf(stdout,
"%s : %s\n
", j.key, j.item);
<H3><A name=
"Extending_nn20"></A>30.5.6 I/O
</H3>
Special I/O functions are used for all internal I/O. These operations
work on C
<TT>FILE *
</TT> objects, String objects, and special
<TT>File
</TT> objects (which are merely a wrapper around
<TT>FILE *
</TT>).
<P><B> <TT>int Printf(String_or_FILE *f, const char *fmt, ...)
</TT></B></P>
<DIV class=
"indent"> Formatted I/O. Same as the C
<TT>fprintf()
</TT>
function except that output can also be directed to a string object.
Note: the
<TT>%s
</TT> format specifier works with both strings and
<TT>char *
</TT>. All other format operators have the same meaning.
</DIV><P><B> <TT>int Printv(String_or_FILE *f, String_or_char *arg1,..., NULL)
</TT>
<DIV class=
"indent"> Prints a variable number of strings arguments to
the output. The last argument to this function must be NULL. The other
arguments can either be
<TT>char *
</TT> or string objects.
</DIV><P><B> <TT>int Putc(int ch, String_or_FILE *f)
</TT></B></P>
<DIV class=
"indent"> Same as the C
<TT>fputc()
</TT> function.
</DIV>
<P><B> <TT>int Write(String_or_FILE *f, void *buf, int len)
</TT></B></P>
<DIV class=
"indent"> Same as the C
<TT>write()
</TT> function.
</DIV>
<P><B> <TT>int Read(String_or_FILE *f, void *buf, int maxlen)
</TT></B></P>
<DIV class=
"indent"> Same as the C
<TT>read()
</TT> function.
</DIV>
<P><B> <TT>int Getc(String_or_FILE *f)
</TT></B></P>
<DIV class=
"indent"> Same as the C
<TT>fgetc()
</TT> function.
</DIV>
<P><B> <TT>int Ungetc(int ch, String_or_FILE *f)
</TT></B></P>
<DIV class=
"indent"> Same as the C
<TT>ungetc()
</TT> function.
</DIV>
<P><B> <TT>int Seek(String_or_FILE *f, int offset, int whence)
</TT></B></P>
<DIV class=
"indent"> Same as the C
<TT>seek()
</TT> function.
<TT>offset
</TT>
is the number of bytes.
<TT>whence
</TT> is one of
<TT>SEEK_SET
</TT>,
<TT>SEEK_CUR
</TT>, or
<TT>SEEK_END
</TT>..
</DIV><P><B> <TT>long Tell(String_or_FILE *f)
</TT></B></P>
<DIV class=
"indent"> Same as the C
<TT>tell()
</TT> function.
</DIV>
<P><B> <TT>File *NewFile(const char *filename, const char *mode)
</TT></B>
<DIV class=
"indent"> Create a File object using the
<TT>fopen()
</TT>
library call. This file differs from
<TT>FILE *
</TT> in that it can be
placed in the standard SWIG containers (lists, hashes, etc.).
</DIV><P><B> <TT>File *NewFileFromFile(FILE *f)
</TT></B></P>
<DIV class=
"indent"> Create a File object wrapper around an existing
<TT>
FILE *
</TT> object.
</DIV><P><B> <TT>int Close(String_or_FILE *f)
</TT></B></P>
<P>Closes a file. Has no effect on strings.
</P>
<P> The use of the above I/O functions and strings play a critical role
in SWIG. It is common to see small code fragments of code generated
using code like this:
</P>/* Print into a string */
String *s = NewString(
"");
Printf(s,
"Hello\n
");
for (i =
0; i
< 10; i++) {
Printf(s,
"%d\n
", i);
/* Print string into a file */
Printf(f,
"%s\n
", s);
<P> Similarly, the preprocessor and parser all operate on string-files.
</P>
<H2><A name=
"Extending_nn21"></A>30.6 Navigating and manipulating parse
Parse trees are built as collections of hash tables. Each node is a
hash table in which arbitrary attributes can be stored. Certain
attributes in the hash table provide links to other parse tree nodes.
The following macros can be used to move around the parse tree.
<P><B> <TT>String *nodeType(Node *n)
</TT></B></P>
<DIV class=
"indent"> Returns the node type tag as a string. The returned
string indicates the type of parse tree node.
</DIV><P><B> <TT>Node *nextSibling(Node *n)
</TT></B></P>
<DIV class=
"indent"> Returns the next node in the parse tree. For
example, the next C declaration.
</DIV><P><B> <TT>Node *previousSibling(Node *n)
</TT></B></P>
<DIV class=
"indent"> Returns the previous node in the parse tree. For
example, the previous C declaration.
</DIV><P><B> <TT>Node *firstChild(Node *n)
</TT></B></P>
<DIV class=
"indent"> Returns the first child node. For example, if
<TT>n
</TT>
was a C++ class node, this would return the node for the first class
<P><B> <TT>Node *lastChild(Node *n)
</TT></B></P>
<DIV class=
"indent"> Returns the last child node. You might use this if
you wanted to append a new node to the of a class.
</DIV><P><B> <TT>Node *parentNode(Node *n)
</TT></B></P>
<DIV class=
"indent"> Returns the parent of node
<TT>n
</TT>. Use this to
move up the pass tree.
</DIV><P> The following macros can be used to change all of the above
attributes. Normally, these functions are only used by the parser.
Changing them without knowing what you are doing is likely to be
<P><B> <TT>void set_nodeType(Node *n, const String_or_char)
</TT></B></P>
<DIV class=
"indent"> Change the node type. tree node.
</DIV>
<P><B> <TT>void set_nextSibling(Node *n, Node *s)
</TT></B></P>
<DIV class=
"indent"> Set the next sibling.
</DIV>
<P><B> <TT>void set_previousSibling(Node *n, Node *s)
</TT></B></P>
<DIV class=
"indent"> Set the previous sibling.
</DIV>
<P><B> <TT>void set_firstChild(Node *n, Node *c)
</TT></B></P>
<DIV class=
"indent"> Set the first child node.
</DIV>
<P><B> <TT>void set_lastChild(Node *n, Node *c)
</TT></B></P>
<DIV class=
"indent"> Set the last child node.
</DIV>
<P><B> <TT>void set_parentNode(Node *n, Node *p)
</TT></B></P>
<DIV class=
"indent"> Set the parent node.
</DIV>
<P> The following utility functions are used to alter the parse tree (at
<P><B> <TT>void appendChild(Node *parent, Node *child)
</TT></B></P>
<DIV class=
"indent"> Append a child to
<TT>parent
</TT>. The appended
node becomes the last child.
</DIV><P><B> <TT>void deleteNode(Node *node)
</TT></B></P>
<DIV class=
"indent"> Deletes a node from the parse tree. Deletion
reconnects siblings and properly updates the parent so that sibling
nodes are unaffected.
</DIV><H2><A name=
"Extending_nn22"></A>30.7 Working with attributes
</H2>
<P> Since parse tree nodes are just hash tables, attributes are accessed
using the
<TT>Getattr()
</TT>,
<TT>Setattr()
</TT>, and
<TT>Delattr()
</TT> operations. For example:
</P>int functionHandler(Node *n) {
String *name = Getattr(n,
"name
");
String *symname = Getattr(n,
"sym:name
");
SwigType *type = Getattr(n,
"type
");
<P> New attributes can be freely attached to a node as needed. However,
when new attributes are attached during code generation, they should be
prepended with a namespace prefix. For example:
</P>Setattr(n,
"python:docstring
", doc); /* Store docstring */
<P> A quick way to check the value of an attribute is to use the
<TT>
checkAttribute()
</TT> function like this:
</P>if (checkAttribute(n,
"storage
",
"virtual
")) {
<P> Changing the values of existing attributes is allowed and is
sometimes done to implement node transformations. However, if a
function/method modifies a node, it is required to restore modified
attributes to their original values. To simplify the task of
saving/restoring attributes, the following functions are used:
</P><P><B> <TT>int Swig_save(const char *ns, Node *n, const char *name1,
const char *name2, ..., NIL)
</TT></B></P><DIV class=
"indent"> Saves a copy of attributes
<TT>name1
</TT>,
<TT>
name2
</TT>, etc. from node
<TT>n
</TT>. Copies of the attributes are
actually resaved in the node in a different namespace which is set by
the
<TT>ns
</TT> argument. For example, if you call
<TT>Swig_save(
"foo
",n,
"type
",NIL)
</TT>, then the
"type
" attribute will be
copied and saved as
"foo:type
". The namespace name itself is stored in
the
"view
" attribute of the node. If necessary, this can be examined to
find out where previous values of attributes might have been saved.
</DIV><P><B> <TT>int Swig_restore(Node *n)
</TT></B></P>
<P> Restores the attributes saved by the previous call to
<TT>
Swig_save()
</TT>. Those attributes that were supplied to
<TT>Swig_save()
</TT> will be restored to their original values.
</P><P> The
<TT>Swig_save()
</TT> and
<TT>Swig_restore()
</TT> functions must
always be used as a pair. That is, every call to
<TT>Swig_save()
</TT> must have a matching call to
<TT>Swig_restore()
</TT>. Calls can be
nested if necessary. Here is an example that shows how the functions
int variableHandler(Node *n) {
Swig_save(
"variableHandler
",n,
"type
",
"sym:name
",NIL);
String *symname = Getattr(n,
"sym:name
");
SwigType *type = Getattr(n,
"type
");
Append(symname,
"_global
"); // Change symbol name
SwigType_add_pointer(type); // Add pointer
Swig_restore(n); // Restore original values
<P><B> <TT>int Swig_require(const char *ns, Node *n, const char *name1,
const char *name2, ..., NIL)
</TT></B></P><DIV class=
"indent"> This is an enhanced version of
<TT>Swig_save()
</TT>
that adds error checking. If an attribute name is not present in
<TT>n
</TT>, a failed assertion results and SWIG terminates with a fatal error.
Optionally, if an attribute name is specified as
"*
<EM>name
</EM>", a
copy of the attribute is saved as with
<TT>Swig_save()
</TT>. If an
attribute is specified as
"?
<EM>name
</EM>", the attribute is optional.
<TT>Swig_restore()
</TT> must always be called after using this function.
</DIV><H2><A name=
"Extending_nn23"></A>30.8 Type system
</H2>
<P> SWIG implements the complete C++ type system including typedef,
inheritance, pointers, references, and pointers to members. A detailed
discussion of type theory is impossible here. However, let's cover the
<H3><A name=
"Extending_nn24"></A>30.8.1 String encoding of types
</H3>
<P> All types in SWIG consist of a base datatype and a collection of
type operators that are applied to the base. A base datatype is almost
always some kind of primitive type such as
<TT>int
</TT> or
<TT>double
</TT>. The operators consist of things like pointers, references, arrays, and
so forth. Internally, types are represented as strings that are
constructed in a very precise manner. Here are some examples:
</P>C datatype SWIG encoding (strings)
----------------------------- --------------------------
const int *
"p.q(const).int
"int (*x)(int,double)
"p.f(int,double).int
"int [
20][
30]
"a(
20).a(
30).int
"int (F::*)(int)
"m(F).f(int).int
"vector
<int
> *
"p.vector
<(int)
>"<P> Reading the SWIG encoding is often easier than figuring out the C
code---just read it from left to right. For a type of
"p.f(int,double).int
" is a
"pointer to a function(int,double) that
<P> The following operator encodings are used in type strings:
</P>
------------------- -------------------------------
a(n). Array of dimension n
m(class). Member pointer to class
<P> In addition, type names may be parameterized by templates. This is
represented by enclosing the template parameters in
<TT><( ... )
></TT>.
Variable length arguments are represented by the special base type of
<TT><P> If you want to experiment with type encodings, the raw type strings
can be inserted into an interface file using backticks `` wherever a
type is expected. For instance, here is an extremely perverted example:
</P>`p.a(
10).p.f(int,p.f(int).int)` foo(int, int (*x)(int));
<P> This corresponds to the immediately obvious C declaration:
</P>
(*(*foo(int,int (*)(int)))[
10])(int,int (*)(int));
<P> Aside from the potential use of this declaration on a C programming
quiz, it motivates the use of the special SWIG encoding of types. The
SWIG encoding is much easier to work with because types can be easily
examined, modified, and constructed using simple string operations
(comparison, substrings, concatenation, etc.). For example, in the
parser, a declaration like this
</P><P> is processed in a few pieces. In this case, you have the base type
"<TT>
int
</TT>" and the declarator of type
"<TT>a(
30).p.
</TT>". To make the
final type, the two parts are just joined together using string
<H3><A name=
"Extending_nn25"></A>30.8.2 Type construction
</H3>
<P> The following functions are used to construct types. You should use
these functions instead of trying to build the type strings yourself.
</P><P><B> <TT>void SwigType_add_pointer(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Adds a pointer to
<TT>ty
</TT>.
</DIV>
<P><B> <TT>void SwigType_del_pointer(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Removes a single pointer from
<TT>ty
</TT>.
</DIV>
<P><B> <TT>void SwigType_add_reference(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Adds a reference to
<TT>ty
</TT>.
</DIV>
<P><B> <TT>void SwigType_add_array(SwigType *ty, String_or_char *dim)
</TT>
<DIV class=
"indent"> Adds an array with dimension
<TT>dim
</TT> to
<TT>ty
</TT>
<P><B> <TT>void SwigType_del_array(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Removes a single array dimension from
<TT>ty
</TT>.
</DIV>
<P><B> <TT>int SwigType_array_ndim(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Returns number of array dimensions of
<TT>ty
</TT>.
</DIV>
<P><B> <TT>String* SwigType_array_getdim(SwigType *ty,int n)
</TT></B></P>
<DIV class=
"indent"> Returns
<TT>n
</TT>th array dimension of
<TT>ty
</TT>
<P><B> <TT>void SwigType_array_setdim(SwigType *ty, int n, const
String_or_char *rep)
</TT></B></P><DIV class=
"indent"> Sets
<TT>n
</TT>th array dimensions of
<TT>ty
</TT>
<P><B> <TT>void SwigType_add_qualifier(SwigType *ty, String_or_char *q)
</TT>
<DIV class=
"indent"> Adds a type qualifier
<TT>q
</TT> to
<TT>ty
</TT>.
<TT>
q
</TT> is typically
<TT>"const
"</TT> or
<TT>"volatile
"</TT>.
</DIV><P><B> <TT>void SwigType_add_memberpointer(SwigType *ty, String_or_char
<DIV class=
"indent"> Adds a pointer to a member of class
<TT>cls
</TT> to
<P><B> <TT>void SwigType_add_function(SwigType *ty, ParmList *p)
</TT></B>
<DIV class=
"indent"> Adds a function to
<TT>ty
</TT>.
<TT>p
</TT> is a
linked-list of parameter nodes as generated by the parser. See the
section on parameter lists for details about the representation.
</DIV><P><B> <TT>void SwigType_add_template(SwigType *ty, ParmList *p)
</TT></B>
<DIV class=
"indent"> Adds a template to
<TT>ty
</TT>.
<TT>p
</TT> is a
linked-list of parameter nodes as generated by the parser. See the
section on parameter lists for details about the representation.
</DIV><P><B> <TT>SwigType *SwigType_pop(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Removes the last type constructor from
<TT>ty
</TT>
and returns it.
<TT>ty
</TT> is modified.
</DIV><P><B> <TT>void SwigType_push(SwigType *ty, SwigType *op)
</TT></B></P>
<DIV class=
"indent"> Pushes the type operators in
<TT>op
</TT> onto type
<TT>
ty
</TT>. The opposite of
<TT>SwigType_pop()
</TT>.
</DIV><P><B> <TT>SwigType *SwigType_pop_arrays(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Removes all leading array operators from
<TT>ty
</TT>
and returns them.
<TT>ty
</TT> is modified. For example, if
<TT>ty
</TT> is
<TT>"a(
20).a(
10).p.int
"</TT>, then this function would return
<TT>"a(
20).a(
10).
"</TT> and modify
<TT>ty
</TT> so that it has the value
<TT>
"p.int
"</TT>.
</DIV>
<P><B> <TT>SwigType *SwigType_pop_function(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Removes a function operator from
<TT>ty
</TT>
including any qualification.
<TT>ty
</TT> is modified. For example, if
<TT>ty
</TT> is
<TT>"f(int).int
"</TT>, then this function would return
<TT>"f(int).
"</TT> and modify
<TT>ty
</TT> so that it has the value
<TT>"int
"</TT>
<P><B> <TT>SwigType *SwigType_base(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Returns the base type of a type. For example, if
<TT>
ty
</TT> is
<TT>"p.a(
20).int
"</TT>, this function would return
<TT>"int
"</TT>.
<TT>ty
</TT> is unmodified.
</DIV><P><B> <TT>SwigType *SwigType_prefix(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Returns the prefix of a type. For example, if
<TT>
ty
</TT> is
<TT>"p.a(
20).int
"</TT>, this function would return
<TT>"p.a(
20).
"</TT>.
<TT>ty
</TT> is unmodified.
</DIV>
<H3><A name=
"Extending_nn26"></A>30.8.3 Type tests
</H3>
<P> The following functions can be used to test properties of a
<P><B> <TT>int SwigType_ispointer(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> is a standard pointer.
</DIV>
<P><B> <TT>int SwigType_ismemberpointer(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> is a member pointer.
</DIV>
<P><B> <TT>int SwigType_isreference(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> is a C++ reference.
</DIV>
<P><B> <TT>int SwigType_isarray(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> is an array.
</DIV>
<P><B> <TT>int SwigType_isfunction(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> is a function.
</DIV>
<P><B> <TT>int SwigType_isqualifier(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> is a qualifier.
</DIV>
<P><B> <TT>int SwigType_issimple(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> is a simple type. No
<P><B> <TT>int SwigType_isconst(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> is a const type.
</DIV>
<P><B> <TT>int SwigType_isvarargs(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> is a varargs type.
</DIV>
<P><B> <TT>int SwigType_istemplate(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> is a templatized type.
</DIV>
<H3><A name=
"Extending_nn27"></A>30.8.4 Typedef and inheritance
</H3>
<P> The behavior of
<TT>typedef
</TT> declaration is to introduce a type
alias. For instance,
<TT>typedef int Integer
</TT> makes the identifier
<TT>Integer
</TT> an alias for
<TT>int
</TT>. The treatment of typedef in SWIG
is somewhat complicated due to the pattern matching rules that get
applied in typemaps and the fact that SWIG prefers to generate wrapper
code that closely matches the input to simplify debugging (a user will
see the typedef names used in their program instead of the low-level
primitive C datatypes).
</P><P> To handle
<TT>typedef
</TT>, SWIG builds a collection of trees
containing typedef relations. For example,
</P>typedef Integer *IntegerPtr;
<P> produces two trees like this:
</P>
Integer Size Number IntegerPtr
<P> To resolve a single typedef relationship, the following function is
<P><B> <TT>SwigType *SwigType_typedef_resolve(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Checks if
<TT>ty
</TT> can be reduced to a new type
via typedef. If so, returns the new type. If not, returns NULL.
</DIV><P> Typedefs are only resolved in simple typenames that appear in a
type. For example, the type base name and in function parameters. When
resolving types, the process starts in the leaf nodes and moves up the
tree towards the root. Here are a few examples that show how it works:
</P>Original type After typedef_resolve()
------------------------ -----------------------
<P> For complicated types, the process can be quite involved. Here is
the reduction of a function pointer:
</P>p.f(Integer, p.IntegerPtr, Size).Integer : Start
p.f(Integer, p.IntegerPtr, Size).int
p.f(int, p.IntegerPtr, Size).int
p.f(int, p.p.Integer, Size).int
p.f(int, p.p.int, Size).int
p.f(int, p.p.int, int).int : End
<P> Two types are equivalent if their full type reductions are the same.
The following function will fully reduce a datatype:
</P><P><B> <TT>SwigType *SwigType_typedef_resolve_all(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Fully reduces
<TT>ty
</TT> according to typedef
rules. Resulting datatype will consist only of primitive typenames.
</DIV><H3><A name=
"Extending_nn28"></A>30.8.5 Lvalues
</H3>
<P> When generating wrapper code, it is necessary to emit datatypes that
can be used on the left-hand side of an assignment operator (an
lvalue). However, not all C datatypes can be used in this
way---especially arrays and const-qualified types. To generate a type
that can be used as an lvalue, use the following function:
</P><P><B> <TT>SwigType *SwigType_ltype(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Converts type
<TT>ty
</TT> to a type that can be
used as an lvalue in assignment. The resulting type is stripped of
qualifiers and arrays are converted to a pointers.
</DIV><P> The creation of lvalues is fully aware of typedef and other aspects
of the type system. Therefore, the creation of an lvalue may result in
unexpected results. Here are a few examples:
</P>typedef double Matrix4[
4][
4];
Matrix4 x; // type = 'Matrix4', ltype='p.a(
4).double'
typedef const char * Literal;
Literal y; // type = 'Literal', ltype='p.char'
<H3><A name=
"Extending_nn29"></A>30.8.6 Output functions
</H3>
<P> The following functions produce strings that are suitable for
<P><B> <TT>String *SwigType_str(SwigType *ty, String_or_char *id =
0)
</TT>
<DIV class=
"indent"> Generates a C string for a datatype.
<TT>id
</TT> is
an optional declarator. For example, if
<TT>ty
</TT> is
"p.f(int).int
" and
<TT>id
</TT> is
"foo
", then this function produces
"<TT>int
(*foo)(int)
</TT>". This function is used to convert string-encoded
types back into a form that is valid C syntax.
</DIV><P><B> <TT>String *SwigType_lstr(SwigType *ty, String_or_char *id =
0)
</TT>
<DIV class=
"indent"> This is the same as
<TT>SwigType_str()
</TT> except
that the result is generated from the type's lvalue (as generated from
<P><B> <TT>String *SwigType_lcaststr(SwigType *ty, String_or_char *id =
<DIV class=
"indent"> Generates a casting operation that converts from
type
<TT>ty
</TT> to its lvalue.
<TT>id
</TT> is an optional name to
include in the cast. For example, if
<TT>ty
</TT> is
"<TT>q(const).p.char
</TT>" and
<TT>id
</TT> is
"<TT>foo
</TT>", this function
produces the string
"<TT>(char *) foo
</TT>".
</DIV><P><B> <TT>String *SwigType_rcaststr(SwigType *ty, String_or_char *id =
<DIV class=
"indent"> Generates a casting operation that converts from a
type's lvalue to a type equivalent to
<TT>ty
</TT>.
<TT>id
</TT> is an
optional name to include in the cast. For example, if
<TT>ty
</TT> is
"<TT>q(const).p.char
</TT>" and
<TT>id
</TT> is
"<TT>foo
</TT>", this function
produces the string
"<TT>(const char *) foo
</TT>".
</DIV><P><B> <TT>String *SwigType_manglestr(SwigType *ty)
</TT></B></P>
<DIV class=
"indent"> Generates a mangled string encoding of type
<TT>ty
</TT>
. The mangled string only contains characters that are part of a valid C
identifier. The resulting string is used in various parts of SWIG, but
is most commonly associated with type-descriptor objects that appear in
wrappers (e.g.,
<TT>SWIGTYPE_p_double
</TT>).
</DIV><H2><A name=
"Extending_nn30"></A>30.9 Parameters
</H2>
<P> Several type-related functions involve parameter lists. These
include functions and templates. Parameter list are represented as a
list of nodes with the following attributes:
</P>"type
" - Parameter type (required)
"name
" - Parameter name (optional)
"value
" - Initializer (optional)
<P> Typically parameters are denoted in the source by using a typename
of
<TT>Parm *
</TT> or
<TT>ParmList *
</TT>. To walk a parameter list,
simply use code like this:
</P>for (p = parms; p; p = nextSibling(p)) {
SwigType *type = Getattr(p,
"type
");
String *name = Getattr(p,
"name
");
String *value = Getattr(p,
"value
");
<P> Note: this code is exactly the same as what you would use to walk
<P> An empty list of parameters is denoted by a NULL pointer.
</P>
<P> Since parameter lists are fairly common, the following utility
functions are provided to manipulate them:
</P><P><B> <TT>Parm *CopyParm(Parm *p);
</TT></B></P>
<DIV class=
"indent"> Copies a single parameter.
</DIV>
<P><B> <TT>ParmList *CopyParmList(ParmList *p);
</TT></B></P>
<DIV class=
"indent"> Copies an entire list of parameters.
</DIV>
<P><B> <TT>int ParmList_len(ParmList *p);
</TT></B></P>
<DIV class=
"indent"> Returns the number of parameters in a parameter
<P><B> <TT>String *ParmList_str(ParmList *p);
</TT></B></P>
<DIV class=
"indent"> Converts a parameter list into a C string. For
example, produces a string like
"<TT>(int *p, int n, double x);
</TT>".
</DIV><P><B> <TT>String *ParmList_protostr(ParmList *p);
</TT></B></P>
<DIV class=
"indent"> The same as
<TT>ParmList_str()
</TT> except that
parameter names are not included. Used to emit prototypes.
</DIV><P><B> <TT>int ParmList_numrequired(ParmList *p);
</TT></B></P>
<DIV class=
"indent"> Returns the number of required (non-optional)
arguments in
<TT>p
</TT>.
</DIV><H2><A name=
"Extending_nn31"></A>30.10 Writing a Language Module
</H2>
<P> This section briefly outlines the steps needed to create a
bare-bones language module. For more advanced techniques, you should
look at the implementation of existing modules. Since the code is
relatively easy to read, this section describes the creation of a
minimal Python module. You should be able to extrapolate this to other
<H3><A name=
"Extending_nn32"></A>30.10.1 Execution model
</H3>
<P> Code generation modules are defined by inheriting from the
<TT>
Language
</TT> class, currently defined in the
<TT>Source/Modules1.1
</TT> directory of SWIG. Starting from the parsing of command line options,
all aspects of code generation are controlled by different methods of
the
<TT>Language
</TT> that must be defined by your module.
</P><H3><A name=
"Extending_nn33"></A>30.10.2 Starting out
</H3>
<P> To define a new language module, first create a minimal
implementation using this example as a guide:
</P>#include
"swigmod.h
"#include
"swigconfig.h
"class PYTHON : public Language {
virtual void main(int argc, char *argv[]) {
printf(
"I'm the Python module.\n
");
virtual int top(Node *n) {
printf(
"Generating code.\n
");
extern
"C
" Language *
<P> The
"swigmod.h
" header file contains, among other things, the
declaration of the
<TT>Language
</TT> base class and so you should
include it at the top of your language module's source file. Similarly,
the
"swigconfig.h
" header file contains some other useful definitions
that you may need. Note that you should
<EM> not
</EM> include any header
files that are installed with the target language. That is to say, the
implementation of the SWIG Python module shouldn't have any
dependencies on the Python header files. The wrapper code generated by
SWIG will almost always depend on some language-specific C/C++ header
files, but SWIG itself does not.
</P><P> Give your language class a reasonable name, usually the same as the
target language. By convention, these class names are all uppercase
(e.g.
"PYTHON
" for the Python language module) but this is not a
requirement. This class will ultimately consist of a number of
overrides of the virtual functions declared in the
<TT>Language
</TT> base class, in addition to any language-specific member functions and
data you need. For now, just use the dummy implementations shown above.
</P><P> The language module ends with a factory function,
<TT>swig_python()
</TT>
, that simply returns a new instance of the language class. As shown, it
should be declared with the
<TT>extern
"C
"</TT> storage qualifier so
that it can be called from C code. It should also return a pointer to
the base class (
<TT>Language
</TT>) so that only the interface (and not
the implementation) of your language module is exposed to the rest of
<P> Save the code for your language module in a file named
"<TT>
python.cxx
</TT>" and. place this file in the
<TT>Source/Modules1.1
</TT> directory of the SWIG distribution. To ensure that your module is
compiled into SWIG along with the other language modules, modify the
file
<TT>Source/Modules1.1/Makefile.in
</TT> to include the additional
source files. Look for the lines that define the
<TT>SRCS
</TT> and
<TT>OBJS
</TT> variables and add entries for your language. In addition,
modify the file
<TT>Source/Modules1.1/swigmain.cxx
</TT> with an
additional command line option that activates the module. Read the
source---it's straightforward.
</P><P> Next, at the top level of the SWIG distribution, re-run the
<TT>
autogen.sh
</TT> script to regenerate the various build files:
</P><P> Next re-run
<TT>configure
</TT> to regenerate all of the Makefiles:
</P>
<P> Finally, rebuild SWIG with your module added:
</P>
<P> Once it finishes compiling, try running SWIG with the command-line
option that activates your module. For example,
<TT>swig -python foo.i
</TT>. The messages from your new module should appear.
</P><H3><A name=
"Extending_nn34"></A>30.10.3 Command line options
</H3>
<P> When SWIG starts, the command line options are passed to your
language module. This occurs before any other processing occurs
(preprocessing, parsing, etc.). To capture the command line options,
simply use code similar to this:
</P>void Language::main(int argc, char *argv[]) {
for (int i =
1; i
< argc; i++) {
if(strcmp(argv[i],
"-interface
") ==
0) {
interface = NewString(argv[i+
1]);
} else if (strcmp(argv[i],
"-globals
") ==
0) {
global_name = NewString(argv[i+
1]);
} else if ( (strcmp(argv[i],
"-proxy
") ==
0)) {
} else if (strcmp(argv[i],
"-keyword
") ==
0) {
} else if (strcmp(argv[i],
"-help
") ==
0) {
<P> The exact set of options depends on what you want to do in your
module. Generally, you would use the options to change code generation
modes or to print diagnostic information.
</P><P> If a module recognizes an option, it should always call
<TT>
Swig_mark_arg()
</TT> to mark the option as valid. If you forget to do
this, SWIG will terminate with an unrecognized command line option
<H3><A name=
"Extending_nn35"></A>30.10.4 Configuration and preprocessing
</H3>
<P> In addition to looking at command line options, the
<TT>main()
</TT>
method is responsible for some initial configuration of the SWIG
library and preprocessor. To do this, insert some code like this:
</P>void main(int argc, char *argv[]) {
... command line options ...
/* Set language-specific subdirectory in SWIG library */
SWIG_library_directory(
"python
");
/* Set language-specific preprocessing symbol */
Preprocessor_define(
"SWIGPYTHON
1",
0);
/* Set language-specific configuration file */
SWIG_config_file(
"python.swg
");
/* Set typemap language (historical) */
SWIG_typemap_lang(
"python
");
<P> The above code does several things--it registers the name of the
language module with the core, it supplies some preprocessor macro
definitions for use in input files (so that they can determine the
target language), and it registers a start-up file. In this case, the
file
<TT>python.swg
</TT> will be parsed before any part of the
user-supplied input file.
</P><P> Before proceeding any further, create a directory for your module in
the SWIG library (The
<TT>Lib
</TT> directory). Now, create a
configuration file in the directory. For example,
<TT>python.swg
</TT>.
</P><P> Just to review, your language module should now consist of two
files-- an implementation file
<TT>python.cxx
</TT> and a configuration
file
<TT>python.swg
</TT>.
</P><H3><A name=
"Extending_nn36"></A>30.10.5 Entry point to code generation
</H3>
<P> SWIG is a multi-pass compiler. Once the
<TT>main()
</TT> method has
been invoked, the language module does not execute again until
preprocessing, parsing, and a variety of semantic analysis passes have
been performed. When the core is ready to start generating wrappers, it
invokes the
<TT>top()
</TT> method of your language class. The argument
to
<TT>top
</TT> is a single parse tree node that corresponds to the top
of the entire parse tree.
</P><P> To get the code generation process started, the
<TT>top()
</TT>
procedure needs to do several things:
</P><LI>Initialize the wrapper code output.
</LI>
<LI>Set the module name.
</LI>
<LI>Emit common initialization code.
</LI>
<LI>Emit code for all of the child nodes.
</LI>
<LI>Finalize the wrapper module and cleanup.
</LI>
<P> An outline of
<TT>top()
</TT> might be as follows:
</P>
int Python::top(Node *n) {
/* Get the module name */
String *module = Getattr(n,
"name
");
/* Get the output file name */
String *outfile = Getattr(n,
"outfile
");
/* Initialize I/O (see next section) */
/* Output module initialization code */
/* Emit code for children */
<H3><A name=
"Extending_nn37"></A>30.10.6 Module I/O and wrapper skeleton
</H3>
<H3><A name=
"Extending_nn38"></A>30.10.7 Low-level code generators
</H3>
<H3><A name=
"Extending_nn39"></A>30.10.8 Configuration files
</H3>
<!-- please report bugs in this section to ttn -->
<P> At the time of this writing, SWIG supports nearly a dozen languages,
which means that for continued sanity in maintaining the configuration
files, the language modules need to follow some conventions. These are
outlined here along with the admission that, yes it is ok to violate
these conventions in minor ways, as long as you know where to apply the
proper kludge to keep the overall system regular and running.
Engineering is the art of compromise, see...
</P><P> Much of the maintenance regularity depends on choosing a suitable
nickname for your language module (and then using it in a controlled
way). Nicknames should be all lower case letters with an optional
numeric suffix (no underscores, no dashes, no spaces). Some examples
are:
<TT>foo
</TT>,
<TT>bar
</TT>,
<TT>qux99
</TT>.
</P><P> The numeric suffix variant, as in the last example, is somewhat
tricky to work with because sometimes people expect to refer to the
language without this number but sometimes that number is extremely
relevant (especially when it corresponds to language implementation
versions with incompatible interfaces). New language modules that
unavoidably require a numeric suffix in their nickname should include
that number in all uses, or be prepared to kludge.
</P><P> The nickname is used in four places:
</P>
<TABLE summary=
"nickname table">
<TR><TD><B>usage
</B></TD><TD><B>transform
</B></TD></TR>
<TR><TD>"skip
" tag
</TD><TD>(none)
</TD></TR>
<TR><TD>Examples/ subdir name
</TD><TD>(none)
</TD></TR>
<TR><TD>Examples/GIFPlot/ subdir name
</TD><TD>capitalize (upcase first
<TR><TD>Examples/test-suite/ subdir name
</TD><TD>(none)
</TD></TR>
<!-- add more uses here (remember to adjust header) -->
<P> As you can see, most usages are direct.
</P>
<DT><B> configure.in
</B></DT>
<DD> This file is processed by
<P> <A HREF=
"http://www.gnu.org/software/autoconf/">autoconf
</A> to
generate the
<TT>configure
</TT> script. This is where you need to add
shell script fragments and autoconf macros to detect the presence of
whatever development support your language module requires, typically
directories where headers and libraries can be found, and/or utility
programs useful for integrating the generated wrapper code.
</P><P> Use the
<TT>AC_ARG_WITH
</TT>,
<TT>AC_MSG_CHECKING
</TT>,
<TT>AC_SUBST
</TT>
macros and so forth (see other languages for examples). Avoid using the
<TT>[
</TT> and
<TT>]
</TT> character in shell script fragments. The
variable names passed to
<TT>AC_SUBST
</TT> should begin with the
nickname, entirely upcased.
</P><P> At the end of the new section is the place to put the aforementioned
nickname kludges (should they be needed). See Perl5 and Php4 for
examples of what to do. [If this is still unclear after you've read the
code, ping me and I'll expand on this further. --ttn]
</P><DT><B> Makefile.in
</B></DT>
<P> Some of the variables AC_SUBSTitutued are essential to the support
of your language module. Fashion these into a shell script
"test
" clause and assign that to a skip tag using
"-z
" and
"-o
":
</P><DIV class=
"code"> <TT>skip-qux99 = [ -z
"@QUX99INCLUDE@
" -o -z
"@QUX99LIBS
" ]
</TT></DIV>
<P> This means if those vars should ever be empty, qux99 support should
be considered absent and so it would be a good idea to skip actions
that might rely on it.
</P><P> Here is where you may also define an alias (but then you'll need to
kludge --- don't do this):
</P><DIV class=
"code"> <TT>skip-qux = $(skip-qux99)
</TT></DIV>
<P> Lastly, you need to modify each of
<TT>check-aliveness
</TT>,
<TT>
check-examples
</TT>,
<TT>check-test-suite
</TT>,
<TT>check-gifplot
</TT> (all targets) and
<TT>lib-languages
</TT> (var). Use the nickname for
these, not the alias. Note that you can do this even before you have
any tests or examples set up; the Makefile rules do some sanity
checking and skip around these kinds of problems.
</P><DT><B> Examples/Makefile.in
</B></DT>
<DD> Nothing special here; see comments at top the of this file and look
to the existing languages for examples.
</DD><DT><B> Examples/qux99/check.list
</B></DT>
<DD> Do
<TT>cp ../python/check.list .
</TT> and modify to taste. One
<DT><B> Examples/GIFPlot/Qux99/check.list
</B></DT>
<DD> Do
<TT>cp ../Python/check.list .
</TT> and modify to taste. One
<DT><B> Lib/qux99/extra-install.list
</B></DT>
<DD> If you add your language to the top-level Makefile.in var
<TT>
lib-languages
</TT>, then
<TT>make install
</TT> will install all
<TT>*.i
</TT> and
<TT>*.swg
</TT> files from the language-specific subdirectory of
<TT>Lib
</TT>. Use (optional) file
<TT>extra-install.list
</TT> in that
directory to name additional files to install (see ruby for example).
</DD><DT><B> Runtime/Makefile.in
</B></DT>
<DD> Add another
<TT>make
</TT> invocation to
<TT>all
</TT>, and a section
for your language module.
</DD><DT><B> Source/Modules1.1/Makefile.in
</B></DT>
<DD> Add appropriate entries for vars
<TT>OBJS
</TT> and
<TT>SRCS
</TT>.
<P> At some point it would be a good idea to use
<A HREF=
"http://www.gnu.org/software/automake/">
automake
</A> to handle some of these configuration tasks, but that point
is now long past. If you are interested in working on that, feel free
to raise the issue in the context of a next-generation clean-slate
<H3><A name=
"Extending_nn40"></A>30.10.9 Runtime support
</H3>
<P> Discuss the kinds of functions typically needed for SWIG runtime
support (e.g.
<TT>SWIG_ConvertPtr()
</TT> and
<TT>SWIG_NewPointerObj()
</TT>) and the names of the SWIG files that implement those functions.
</P><H3><A name=
"Extending_nn41"></A>30.10.10 Standard library files
</H3>
<P> Discuss the standard library files that most language modules
<H3><A name=
"Extending_nn42"></A>30.10.11 Examples and test cases
</H3>
<P> Each of the language modules provides one or more examples. These
examples are used to demonstrate different features of the language
module to SWIG end-users, but you'll find that they're useful during
development and testing of your language module as well. You can use
examples from the existing SWIG language modules for inspiration.
</P><P> Each example is self-contained and consists of (at least) a
<TT>
Makefile
</TT>, a SWIG interface file for the example module, and a
script that demonstrates the functionality for that module. All of
these files are stored in the same subdirectory, and that directory
should be nested under
<TT>Examples/python
</TT>. For example, the files
for the Python
"simple
" example are found in
<TT>Examples/python/simple
</TT><P> By default, all of the examples are built and run when the user
types
<TT>make check
</TT>. To ensure that your examples are
automatically run during this process, see the section on
<A href=
"#n37a">configuration files
</A>.
</P><H3><A name=
"Extending_nn43"></A>30.10.12 Documentation
</H3>
<P> Don't forget to write end-user documentation for your language
module. Currently, each language module has a dedicated chapter
(although this structure may change in the future). You shouldn't
rehash things that are already covered in sufficient detail in the
<A href=
"#SWIG">SWIG Basics
</A> and
<A href=
"#SWIGPlus">SWIG and C++
</A> chapters. There
is no fixed format for
<EM> what
</EM>, exactly, you should document
about your language module, but you'll obviously want to cover issues
that are unique to your language.
</P><P> Some topics that you'll want to be sure to address include:
</P>
<LI> Command line options unique to your language module.
</LI>
<LI> Non-obvious mappings between C/C++ and scripting language concepts.
For example, if your scripting language provides a single floating
point type, it should be no big surprise to find that C/C++
<TT>float
</TT> and
<TT>double
</TT> types are mapped to it. On the other hand, if your
scripting language doesn't provide support for
"classes
" or something
similar, you'd want to discuss how C++ classes are handled.
</LI><LI> How to compile the SWIG-generated wrapper code into shared
libraries that can actually be used. For some languages, there are
well-defined procedures for doing this, but for others it's an ad hoc
process. Provide as much detail as appropriate, and links to other
resources if available.
</LI><H2><A name=
"Extending_nn44"></A>30.11 Typemaps
</H2>
<H3><A name=
"Extending_nn45"></A>30.11.1 Proxy classes
</H3>
<H2><A name=
"Extending_nn46"></A>30.12 Guide to parse tree nodes
</H2>
<P> This section describes the different parse tree nodes and their
<P> Describes general C declarations including variables, functions, and
typedefs. A declaration is parsed as
"storage T D
" where storage is a
storage class, T is a base type, and D is a declarator.
</P>"name
" - Declarator name
"type
" - Base type T
"decl
" - Declarator type (abstract)
"storage
" - Storage class (static, extern, typedef, etc.)
"parms
" - Function parameters (if a function)
"code
" - Function body code (if supplied)
"value
" - Default value (if supplied)
<P><B> constructor
</B></P>
<P> C++ constructor declaration.
</P>
"name
" - Name of constructor
"parms
" - Parameters
"decl
" - Declarator (function with parameters)
"code
" - Function body code (if any)
"feature:new
" - Set to indicate return of new object.
<P><B> destructor
</B></P>
<P> C++ destructor declaration.
</P>
"name
" - Name of destructor
"code
" - Function body code (if any)
"storage
" - Storage class (set if virtual)
"value
" - Default value (set if pure virtual).
<P> C++ access change.
</P>
"kind
" - public, protected, private
<P> Constant created by %constant or #define.
</P>
"name
" - Name of constant.
"type
" - Base type.
"value
" - Value.
"storage
" - Set to %constant
"feature:immutable
" - Set to indicate read-only
<P> C++ class definition or C structure definition.
</P>
"name
" - Name of the class.
"kind
" - Class kind (
"struct
",
"union
",
"class
")
"symtab
" - Enclosing symbol table.
"tdname
" - Typedef name. Use for typedef struct { ... } A.
"abstract
" - Set if class has pure virtual methods.
"baselist
" - List of base class names.
"storage
" - Storage class (if any)
"unnamed
" - Set if class is unnamed.
"name
" - Name of the enum (if supplied).
"storage
" - Storage class (if any)
"tdname
" - Typedef name (typedef enum { ... } name).
"unnamed
" - Set if enum is unnamed.
<P> Enumeration value.
</P>
"name
" - Name of the enum value.
"type
" - Type (integer or char)
"value
" - Enum value (if given)
"feature:immutable
" - Set to indicate read-only
"name
" - Name of the namespace.
"symtab
" - Symbol table for enclosed scope.
"unnamed
" - Set if unnamed namespace
"alias
" - Alias name. Set for namespace A = B;
<P> C++ using directive.
</P>
"name
" - Name of the object being referred to.
"uname
" - Qualified name actually given to using.
"node
" - Node being referenced.
"namespace
" - Namespace name being reference (using namespace name)
<P><B> classforward
</B></P>
<P> A forward C++ class declaration.
</P>
"name
" - Name of the class.
"kind
" - Class kind (
"union
",
"struct
",
"class
")
<P> Code insertion directive. For example, %{ ... %} or
"code
" - Inserted code
"section
" - Section name (
"header
",
"wrapper
", etc.)
<P> Top of the parse tree.
</P>
"module
" - Module name
<P> %extend directive.
</P>
"name
" - Module name
"symtab
" - Symbol table of enclosed scope.
<P> %apply pattern { patternlist }.
</P>
"pattern
" - Source pattern.
"symtab
" - Symbol table of enclosed scope.
<P> %clear patternlist;
</P>
"firstChild
" - Patterns to clear
<P> %include directive.
</P>
"name
" - Filename
"firstChild
" - Children
<P> %import directive.
</P>
"name
" - Filename
"firstChild
" - Children
<P> %module directive.
</P>
"name
" - Name of the module
<P> %typemap directive.
</P>
"method
" - Typemap method name.
"code
" - Typemap code.
"kwargs
" - Keyword arguments (if any)
"firstChild
" - Typemap patterns
<P><B> typemapcopy
</B></P>
<P> %typemap directive with copy.
</P>
"method
" - Typemap method name.
"pattern
" - Typemap source pattern.
"firstChild
" - Typemap patterns
<P><B> typemapitem
</B></P>
<P> %typemap pattern. Used with %apply, %clear, %typemap.
</P>
"pattern
" - Typemap pattern (a parameter list)
"parms
" - Typemap parameters.
<P> %types directive.
</P>
"parms
" - List of parameter types.
<P> extern
"X
" { ... } declaration.
</P>
"name
" - Name
"C
",
"Fortran
", etc.
projects / OpenSPARC-T2-SAM / blob