- •Preface
- •Introduction
- •SWIG resources
- •About this manual
- •Prerequisites
- •Organization of this manual
- •How to avoid reading the manual
- •Credits
- •What’s new?
- •Bug reports
- •SWIG is free
- •Introduction
- •What is SWIG?
- •Life before SWIG
- •Life after SWIG
- •The SWIG package
- •A SWIG example
- •The swig command
- •Building a Perl5 module
- •Building a Python module
- •Shortcuts
- •Documentation generation
- •Building libraries and modules
- •C syntax, but not a C compiler
- •Non-intrusive interface building
- •Hands off code generation
- •Event driven C programming
- •Automatic documentation generation
- •Summary
- •SWIG for Windows and Macintosh
- •SWIG on Windows 95/NT
- •SWIG on the Power Macintosh
- •Cross platform woes
- •How to survive this manual
- •Scripting Languages
- •The two language view of the world
- •How does a scripting language talk to C?
- •Wrapper functions
- •Variable linking
- •Constants
- •Structures and classes
- •Shadow classes
- •Building scripting language extensions
- •Static linking
- •Shared libraries and dynamic loading
- •Linking with shared libraries
- •SWIG Basics
- •Running SWIG
- •Input format
- •SWIG Output
- •Comments
- •C Preprocessor directives
- •SWIG Directives
- •Simple C functions, variables, and constants
- •Integers
- •Floating Point
- •Character Strings
- •Variables
- •Constants
- •Pointers and complex objects
- •Simple pointers
- •Run time pointer type checking
- •Derived types, structs, and classes
- •Typedef
- •Getting down to business
- •Passing complex datatypes by value
- •Return by value
- •Linking to complex variables
- •Arrays
- •Creating read-only variables
- •Renaming declarations
- •Overriding call by reference
- •Default/optional arguments
- •Pointers to functions
- •Typedef and structures
- •Character strings and structures
- •Array members
- •C constructors and destructors
- •Adding member functions to C structures
- •Nested structures
- •Other things to note about structures
- •C++ support
- •Supported C++ features
- •C++ example
- •Constructors and destructors
- •Member functions
- •Static members
- •Member data
- •Protection
- •Enums and constants
- •References
- •Inheritance
- •Templates
- •Renaming
- •Adding new methods
- •SWIG, C++, and the Legislation of Morality
- •The future of C++ and SWIG
- •Objective-C
- •Objective-C Example
- •Constructors and destructors
- •Instance methods
- •Class methods
- •Member data
- •Protection
- •Inheritance
- •Referring to other classes
- •Categories
- •Implementations and Protocols
- •Renaming
- •Adding new methods
- •Other issues
- •Conditional compilation
- •The #if directive
- •Code Insertion
- •The output of SWIG
- •Code blocks
- •Inlined code blocks
- •Initialization blocks
- •Wrapper code blocks
- •A general interface building strategy
- •Preparing a C program for SWIG
- •What to do with main()
- •Working with the C preprocessor
- •How to cope with C++
- •How to avoid creating the interface from hell
- •Multiple files and the SWIG library
- •The %include directive
- •The %extern directive
- •The %import directive
- •The SWIG library
- •Library example
- •Creating Library Files
- •tclsh.i
- •malloc.i
- •Static initialization of multiple modules
- •More about the SWIG library
- •Documentation System
- •Introduction
- •How it works
- •Choosing a documentation format
- •Function usage and argument names
- •Titles, sections, and subsections
- •Formatting
- •Default Formatting
- •Comment Formatting variables
- •Sorting
- •Comment placement and formatting
- •Tabs and other annoyances
- •Ignoring comments
- •C Information
- •Adding Additional Text
- •Disabling all documentation
- •An Example
- •ASCII Documentation
- •HTML Documentation
- •LaTeX Documentation
- •C++ Support
- •The Final Word?
- •Pointers, Constraints, and Typemaps
- •Introduction
- •The SWIG Pointer Library
- •Pointer Library Functions
- •A simple example
- •Creating arrays
- •Packing a data structure
- •Introduction to typemaps
- •The idea (in a nutshell)
- •Using some typemaps
- •Managing input and output parameters
- •Input Methods
- •Output Methods
- •Input/Output Methods
- •Using different names
- •Applying constraints to input values
- •Simple constraint example
- •Constraint methods
- •Applying constraints to new datatypes
- •Writing new typemaps
- •Motivations for using typemaps
- •Managing special data-types with helper functions
- •A Typemap Implementation
- •What is a typemap?
- •Creating a new typemap
- •Deleting a typemap
- •Copying a typemap
- •Typemap matching rules
- •Common typemap methods
- •Writing typemap code
- •Scope
- •Creating local variables
- •Special variables
- •Typemaps for handling arrays
- •Typemaps and the SWIG Library
- •Implementing constraints with typemaps
- •Typemap examples
- •How to break everything with a typemap
- •Typemaps and the future
- •Exception Handling
- •The %except directive
- •Handling exceptions in C code
- •Exception handling with longjmp()
- •Handling C++ exceptions
- •Using The SWIG exception library
- •Debugging and other interesting uses for %except
- •More Examples
- •SWIG and Perl5
- •Preliminaries
- •Running SWIG
- •Compiling a dynamic module
- •Building a dynamic module with MakeMaker
- •Building a static version of Perl
- •Compilation problems and compiling with C++
- •Building Perl Extensions under Windows 95/NT
- •Running SWIG from Developer Studio
- •Using NMAKE
- •Modules, packages, and classes
- •Basic Perl interface
- •Functions
- •Global variables
- •Constants
- •Pointers
- •Structures and C++ classes
- •A simple Perl example
- •Graphs
- •Sample Perl Script
- •Accessing arrays and other strange objects
- •Implementing methods in Perl
- •Shadow classes
- •Getting serious
- •Wrapping C libraries and other packages
- •Building a Perl5 interface to MATLAB
- •The MATLAB engine interface
- •Wrapping the MATLAB matrix functions
- •Putting it all together
- •Graphical Web-Statistics in Perl5
- •Handling output values (the easy way)
- •Exception handling
- •Remapping datatypes with typemaps
- •A simple typemap example
- •Perl5 typemaps
- •Typemap variables
- •Name based type conversion
- •Converting a Perl5 array to a char **
- •Using typemaps to return values
- •Accessing array structure members
- •Turning Perl references into C pointers
- •Useful functions
- •Standard typemaps
- •Pointer handling
- •Return values
- •The gory details on shadow classes
- •Module and package names
- •What gets created?
- •Object Ownership
- •Nested Objects
- •Shadow Functions
- •Inheritance
- •Iterators
- •Where to go from here?
- •SWIG and Python
- •Preliminaries
- •Running SWIG
- •Compiling a dynamic module
- •Using your module
- •Compilation problems and compiling with C++
- •Building Python Extensions under Windows 95/NT
- •Running SWIG from Developer Studio
- •Using NMAKE
- •The low-level Python/C interface
- •Modules
- •Functions
- •Variable Linking
- •Constants
- •Pointers
- •Structures
- •C++ Classes
- •Python shadow classes
- •A simple example
- •Why write shadow classes in Python?
- •Automated shadow class generation
- •Compiling modules with shadow classes
- •Where to go for more information
- •About the Examples
- •Solving a simple heat-equation
- •The C++ code
- •Making a quick and dirty Python module
- •Using our new module
- •Accessing array data
- •Use Python for control, C for performance
- •Getting even more serious about array access
- •Implementing special Python methods in C
- •Summary (so far)
- •Wrapping a C library
- •Preparing a module
- •Using the gd module
- •Building a simple 2D imaging class
- •A mathematical function plotter
- •Plotting an unstructured mesh
- •From C to SWIG to Python
- •Putting it all together
- •Merging modules
- •Using dynamic loading
- •Use static linking
- •Building large multi-module systems
- •A complete application
- •Exception handling
- •Remapping C datatypes with typemaps
- •What is a typemap?
- •Python typemaps
- •Typemap variables
- •Name based type conversion
- •Converting Python list to a char **
- •Using typemaps to return arguments
- •Mapping Python tuples into small arrays
- •Accessing array structure members
- •Useful Functions
- •Standard typemaps
- •Pointer handling
- •Implementing C callback functions in Python
- •Other odds and ends
- •Adding native Python functions to a SWIG module
- •The gory details of shadow classes
- •A simple shadow class
- •Module names
- •Two classes
- •The this pointer
- •Object ownership
- •Constructors and Destructors
- •Member data
- •Printing
- •Shadow Functions
- •Nested objects
- •Inheritance and shadow classes
- •Methods that return new objects
- •Performance concerns and hints
- •SWIG and Tcl
- •Preliminaries
- •Running SWIG
- •Additional SWIG options
- •Compiling a dynamic module (Unix)
- •Using a dynamic module
- •Static linking
- •Compilation problems
- •Using [incr Tcl] namespaces
- •Building Tcl/Tk Extensions under Windows 95/NT
- •Running SWIG from Developer Studio
- •Using NMAKE
- •Basic Tcl Interface
- •Functions
- •Global variables
- •Constants
- •Pointers
- •Structures
- •C++ Classes
- •The object oriented interface
- •Creating new objects
- •Invoking member functions
- •Deleting objects
- •Accessing member data
- •Changing member data
- •Relationship with pointers
- •About the examples
- •Binary trees in Tcl
- •Making a quick a dirty Tcl module
- •Building a C data structure in Tcl
- •Implementing methods in C
- •Building an object oriented C interface
- •Building C/C++ data structures with Tk
- •Accessing arrays
- •Building a simple OpenGL module
- •Wrapping gl.h
- •Wrapping glu.h
- •Wrapping the aux library
- •A few helper functions
- •An OpenGL package
- •Using the OpenGL module
- •Problems with the OpenGL interface
- •Exception handling
- •Typemaps
- •What is a typemap?
- •Tcl typemaps
- •Typemap variables
- •Name based type conversion
- •Converting a Tcl list to a char **
- •Remapping constants
- •Returning values in arguments
- •Mapping C structures into Tcl Lists
- •Useful functions
- •Standard typemaps
- •Pointer handling
- •Writing a main program and Tcl_AppInit()
- •Creating a new package initialization library
- •Combining Tcl/Tk Extensions
- •Limitations to this approach
- •Dynamic loading
- •Turning a SWIG module into a Tcl Package.
- •Building new kinds of Tcl interfaces (in Tcl)
- •Shadow classes
- •Extending the Tcl Netscape Plugin
- •Using the plugin
- •Tcl8.0 features
- •Advanced Topics
- •Creating multi-module packages
- •Runtime support (and potential problems)
- •Why doesn’t C++ inheritance work between modules?
- •The SWIG runtime library
- •A few dynamic loading gotchas
- •Dynamic Loading of C++ modules
- •Inside the SWIG type-checker
- •Type equivalence
- •Type casting
- •Why a name based approach?
- •Performance of the type-checker
- •Extending SWIG
- •Introduction
- •Prerequisites
- •SWIG Organization
- •The organization of this chapter
- •Compiling a SWIG extension
- •Required C++ compiler
- •Writing a main program
- •Compiling
- •SWIG output
- •The Language class (simple version)
- •A tour of SWIG datatypes
- •The DataType class
- •Function Parameters
- •The String Class
- •Hash Tables
- •The WrapperFunction class
- •Typemaps (from C)
- •The typemap C API.
- •What happens on typemap lookup?
- •How many typemaps are there?
- •File management
- •Naming Services
- •Code Generation Functions
- •Writing a Real Language Module
- •Command Line Options and Basic Initialization
- •Starting the parser
- •Emitting headers and support code
- •Setting a module name
- •Final Initialization
- •Cleanup
- •Creating Commands
- •Creating a Wrapper Function
- •Manipulating Global Variables
- •Constants
- •A Quick Intermission
- •Writing the default typemaps
- •The SWIG library and installation issues
- •C++ Processing
- •How C++ processing works
- •Language extensions
- •Hints
- •Documentation Processing
- •Documentation entries
- •Creating a usage string
- •Writing a new documentation module
- •Using a new documentation module
- •Where to go for more information
- •The Future of SWIG
- •Index
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Constants
Constants can be created using #define, const, or enumerations. Constant expressions are also allowed. The following interface file shows a few valid constant declarations :
#define I_CONST |
5 |
// An integer constant |
#define F_CONST |
3.14159 |
// A Floating point constant |
#define S_CONST |
"hello world" |
// A string constant |
#define NEWLINE |
'\n' |
// Character constant |
#define MODE |
DEBUG |
// Sets MODE to DEBUG. |
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// DEBUG is assumed to be an |
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// int unless declared earlier |
enum boolean {NO=0, YES=1};
enum months {JAN, FEB, MAR, APR, MAY, JUN, JUL, AUG, SEP, OCT, NOV, DEC};
const double PI 3.141592654;
#define F_CONST2 (double) 5 // A floating pointer constant with cast #define PI_4 PI/4
#define FLAGS 0x04 | 0x08 | 0x40
In #define declarations, the type of a constant is inferred by syntax or can be explicitly set using a cast. For example, a number with a decimal point is assumed to be floating point. When no explicit value is available for a constant, SWIG will use the value assigned by the C compiler. For example, no values are given to the months enumeration, but this is no problem---SWIG will use whatever the C compiler picks.
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).
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 %{,%} block). SWIG only translates the enumeration into code needed to add the constants to a scripting language. It needs the original enumeration declaration to retrieve the correct enum values.
Pointers and complex objects
As we all know, most C programs have much more than just integers, floating point numbers, and character strings. There may be pointers, arrays, structures, and other objects floating around. Fortunately, this is usually not a problem for SWIG.
Simple pointers
Pointers to basic C datatypes such as
int * double ***
char **
can be used freely in an interface file. SWIG encodes pointers into a representation containing the actual value of the pointer and a string representing the datatype. Thus, the SWIG representation of the above pointers (in Tcl), might look like the following :
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_10081012_int_p _1008e124_double_ppp _f8ac_char_pp
A NULL pointer is represented by the string “NULL” or the value 0 encoded with type information.
All pointers are treated as opaque objects by SWIG. 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 write a C program (well, with a few limitations).
The scripting language representation of a pointer should never be manipulated directly (although nothing prevents this). SWIG does not normally map pointers into high-level objects such as associative arrays or lists (for example, it might be desirable to convert an int * into an list of integers). There are several reasons for this :
•Adding special cases would make SWIG more complicated and difficult to maintain.
•There is not enough information in a C declaration to properly map pointers into higher level constructs. For example, an int * may indeed be an array of integers, but if it contains one million elements, converting it into a Tcl, Perl, or Python list would probably be an extremely bad idea.
•By treating all pointers equally, it is easy to know what you’re going to get when you create an interface (pointers are treated in a consistent manner).
As it turns out, you can remap any C datatype to behave in new ways so these rules are not set in stone. Interested readers should look at the chapter on typemaps.
Run time pointer type checking
By allowing pointers to be manipulated interactively in a scripting language, we have effectively bypassed the type-checker in the C/C++ compiler. By encoding pointer values with a datatype, SWIG is able to perform run-time type-checking in order to prevent mysterious system crashes and other anomalies. By default, SWIG uses a strict-type checking model that checks the datatype of all pointers before passing them to C/C++. However, you can change the handling of pointers using the -strict option:
-strict 0 |
No type-checking (living on the edge) |
|
-strict |
1 |
Generate warning messages (somewhat annoying) |
-strict |
2 |
Strict type checking (the default) |
Strict type checking is the recommended default since is the most reliable and most closely follows the type checking rules of C. In fact, at this time, the other two modes should be considered to be outdated SWIG features that are supported, but no longer necessary1.
By default, SWIG allows “NULL” pointers to be passed to C/C++. This has the potential to crash code and cause other problems if you are not careful. Checks can be placed on certain values to
1.In early versions of SWIG, some users would disable the type-checker to work around type-casting problems. This is no longer necessary as most type-related problems can be solved using the pointer.i library file included with SWIG1.1.
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prevent this but this requires the use of typemaps (described in later chapters).
Like C, it should also be noted that functions involving void pointers can accept any kind of pointer object.
Derived types, structs, and classes
For everything else (structs, classes, arrays, etc...) SWIG applies a very simple rule :
All complex datatypes are pointers
In other words, SWIG manipulates everything else by reference. This model makes sense because most C/C++ programs make heavy use of pointers and we can use the type-checked pointer mechanism already present for handling pointers to basic datatypes.
While all of this probably sounds complicated, it’s really quite simple. Suppose you have an interface file like this :
%module fileio
FILE *fopen(char *, char *); int fclose(FILE *);
unsigned fread(void *ptr, unsigned size, unsigned nobj, FILE *); unsigned fwrite(void *ptr, unsigned size, unsigned nobj, FILE *); void *malloc(int nbytes);
void free(void *);
In this file, SWIG doesn’t know what a FILE is, but it’s used as a pointer, so it doesn’t really matter what it is. If you wrapped this module into Python, you could use the functions just like you would expect :
# Copy a file
def filecopy(source,target): f1 = fopen(source,”r”) f2 = fopen(target,”w”) buffer = malloc(8192)
nbytes = fread(buffer,8192,1,f1) while (nbytes > 0):
fwrite(buffer,8192,1,f2)
nbytes = fread(buffer,8192,1,f1) free(buffer)
In this case f1, f2, and buffer are all opaque objects containing C pointers. It doesn’t matter what value they contain--our program works just fine without this knowledge.
What happens when SWIG encounters an unknown datatype?
When SWIG encounters an unknown datatype, it automatically assumes that it is some sort of complex datatype. For example, suppose the following function appeared in a SWIG input file:
void matrix_multiply(Matrix *a, Matrix *b, Matrix *c);
SWIG has no idea what a “Matrix” is so it will assume that you know what you are doing and map it into a pointer. This makes perfect sense because the underlying C function is using pointers in the first place. Unlike C or C++, SWIG does not actually care whether Matrix has been
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