Directives¶
In this section we describe each of the directives that can be used in
specification files. All directives begin with %
as the first
non-whitespace character in a line.
Some directives have arguments or contain blocks of code or documentation. In the following descriptions these are shown in italics. Optional arguments are enclosed in [brackets].
Some directives are used to specify handwritten code. Handwritten code must
not define names that start with the prefix sip
.
Revised Directive Syntax¶
New in version 4.12.
The directive syntax used in older versions has some problems:
- it is inconsistent in places
- it can be problematic to parse
- it is inflexible.
SIP v4.12 introduced a revised directive syntax that addresses these problems and deprecates the old syntax. Support for the old syntax will be removed in SIP v5.
The revised syntax is:
%Directive(arg = value, ...)
{
%Sub-directive
...
};
A directive may have a number of arguments enclosed in parentheses followed by a number of sub-directives enclosed in braces. Individual arguments and sub-directives may be optional.
Arguments may be specified in any order. If no arguments are specified then the parentheses can be omitted. If a directive has only one compulsory argument then its value may be specified after the directive name and instead of the parentheses.
Sub-directives may be specified in any order. If no sub-directives are specified then the braces can be omitted.
If a directive is used to specify handwritten code then it may not have sub-directives. In this case the syntax is:
%Directive(arg = value, ...) code %End
Ordinary C/C++ statements may also have sub-directives. These will also be enclosed in braces.
The documentation for each directive describes the revised syntax. The older syntax should be used if compatibility with versions of SIP prior to v4.12 is required.
List of Directives¶
-
%AccessCode
¶
%AccessCode code %End
This sub-directive is used in the declaration of an instance of a wrapped class or structure, or a pointer to such an instance. You use it to provide handwritten code that overrides the default behaviour.
For example:
class Klass;
Klass *klassInstance
{
%AccessCode
// In this contrived example the C++ library we are wrapping
// defines klassInstance as Klass ** (which SIP doesn't support) so
// we explicitly dereference it.
if (klassInstance && *klassInstance)
return *klassInstance;
// This will get converted to None.
return 0;
%End
};
-
%API
¶
New in version 4.9.
%API(name = name, version = integer)
This directive is used to define an API and set its default version number. A version number must be greater than or equal to 1.
See Managing Incompatible APIs for more detail.
For example:
%API(name=PyQt4, version=1)
-
%AutoPyName
¶
New in version 4.12.
%AutoPyName(remove_leading = string)
This is a sub-directive of the %Module
directive used to specify a
rule for automatically providing Python names for classes, enums, functions,
methods, variables and exceptions. The directive may be specified any number
of times and each rule will be applied in turn. Rules will not be applied if
an item has been given an explicit Python name.
remove_leading
is a string that will be removed from the beginning of any
C++ or C name.
For example:
%Module PyQt4.QtCore
{
%AutoPyName(remove_leading="Q")
}
-
%BIGetBufferCode
¶
%BIGetBufferCode code %End
This directive (along with %BIReleaseBufferCode
) is used to
specify code that implements the buffer interface of Python v3. If Python v2
is being used then this is ignored.
The variables that are made available to the handwritten code depend on whether or not the limited Python API is enabled or not. The following variables are made available:
- sipBufferDef *sipBuffer
- When the use of the limited API is enabled, this is a pointer to a
structure that should be populated by the code. The
bd_buffer
field should be set to the address of the buffer. Thebd_length
field should be set to the length of the buffer. Thebd_readonly
field should be set to a non-zero value if the buffer is read-only. - Py_buffer *sipBuffer
- When the use of the limited Python API is disabled, this is a pointer to the Python buffer structure that should be populated by the code.
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class.
- int sipFlags
- When the use of the limited Python API is disabled, these are the flags
that specify what elements of the
sipBuffer
structure must be populated. - int sipRes
- The handwritten code should set this to 0 if there was no error or -1 if there was an error.
- PyObject *sipSelf
- This is the Python object that wraps the structure or class instance, i.e.
self
.
-
%BIGetCharBufferCode
¶
%BIGetCharBufferCode code %End
This directive (along with %BIGetReadBufferCode
,
%BIGetSegCountCode
and %BIGetWriteBufferCode
) is used
to specify code that implements the buffer interface of Python v2. If Python
v3 is being used then this is ignored.
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class.
- void **sipPtrPtr
- This is the pointer used to return the address of the character buffer.
SIP_SSIZE_T
sipRes- The handwritten code should set this to the length of the character buffer or -1 if there was an error.
SIP_SSIZE_T
sipSegment- This is the number of the segment of the character buffer.
- PyObject *sipSelf
- This is the Python object that wraps the structure or class instance, i.e.
self
.
-
%BIGetReadBufferCode
¶
%BIGetReadBufferCode code %End
This directive (along with %BIGetCharBufferCode
,
%BIGetSegCountCode
and %BIGetWriteBufferCode
) is used
to specify code that implements the buffer interface of Python v2. If
Python v3 is being used then this is ignored.
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class.
- void **sipPtrPtr
- This is the pointer used to return the address of the read buffer.
SIP_SSIZE_T
sipRes- The handwritten code should set this to the length of the read buffer or -1 if there was an error.
SIP_SSIZE_T
sipSegment- This is the number of the segment of the read buffer.
- PyObject *sipSelf
- This is the Python object that wraps the structure or class instance, i.e.
self
.
-
%BIGetSegCountCode
¶
%BIGetSegCountCode code %End
This directive (along with %BIGetCharBufferCode
,
%BIGetReadBufferCode
and %BIGetWriteBufferCode
) is
used to specify code that implements the buffer interface of Python v2. If
Python v3 is being used then this is ignored.
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class.
SIP_SSIZE_T
*sipLenPtr- This is the pointer used to return the total length in bytes of all segments of the buffer.
SIP_SSIZE_T
sipRes- The handwritten code should set this to the number of segments that make up the buffer.
- PyObject *sipSelf
- This is the Python object that wraps the structure or class instance, i.e.
self
.
-
%BIGetWriteBufferCode
¶
%BIGetWriteBufferCode code %End
This directive (along with %BIGetCharBufferCode
,
%BIGetReadBufferCode
and %BIGetSegCountCode
is used
to specify code that implements the buffer interface of Python v2. If Python
v3 is being used then this is ignored.
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class.
- void **sipPtrPtr
- This is the pointer used to return the address of the write buffer.
SIP_SSIZE_T
sipRes- The handwritten code should set this to the length of the write buffer or -1 if there was an error.
SIP_SSIZE_T
sipSegment- This is the number of the segment of the write buffer.
- PyObject *sipSelf
- This is the Python object that wraps the structure or class instance, i.e.
self
.
-
%BIReleaseBufferCode
¶
%BIReleaseBufferCode code %End
This directive (along with %BIGetBufferCode
) is used to specify
code that implements the buffer interface of Python v3. If Python v2 is being
used then this is ignored.
The variables that are made available to the handwritten code depend on whether or not the limited Python API is enabled or not. The following variables are made available:
- Py_buffer *sipBuffer
- When the use of the limited Python API is disabled, this is a pointer to the Python buffer structure.
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class.
- PyObject *sipSelf
- This is the Python object that wraps the structure or class instance, i.e.
self
.
-
%CModule
¶
Deprecated since version 4.12: Use the %Module
directive with the language
argument set
to "C"
instead.
%CModule name [version]
This directive is used to identify that the library being wrapped is a C library and to define the name of the module and it’s optional version number.
See the %Module
directive for an explanation of the version
number.
For example:
%CModule dbus 1
-
%CompositeModule
¶
%CompositeModule(name = dotted-name)
{
[%Docstring
]
};
A composite module is one that merges a number of related SIP generated
modules. For example, a module that merges the modules a_mod
, b_mod
and c_mod
is equivalent to the following pure Python module:
from a_mod import *
from b_mod import *
from c_mod import *
Clearly the individual modules should not define module-level objects with the same name.
This directive is used to specify the name of a composite module. Any
subsequent %Module
directive is interpreted as defining a
component module.
The optional %Docstring
sub-directive is used to specify the
module’s docstring.
For example:
%CompositeModule PyQt4.Qt
%Include QtCore/QtCoremod.sip
%Include QtGui/QtGuimod.sip
The main purpose of a composite module is as a programmer convenience as they don’t have to remember which individual module an object is defined in.
-
%ConsolidatedModule
¶
Deprecated since version 4.16.2: This will not be supported in SIP v5.
%ConsolidatedModule(name = dotted-name)
{
[%Docstring
]
};
A consolidated module is one that consolidates the wrapper code of a number of SIP generated modules (refered to as component modules in this context).
This directive is used to specify the name of a consolidated module. Any
subsequent %Module
directive is interpreted as defining a
component module.
The optional %Docstring
sub-directive is used to specify the
module’s docstring.
For example:
%ConsolidatedModule PyQt4._qt
%Include QtCore/QtCoremod.sip
%Include QtGui/QtGuimod.sip
A consolidated module is not intended to be explicitly imported by an application. Instead it is imported by its component modules when they themselves are imported.
Normally the wrapper code is contained in the component module and is linked against the corresponding C or C++ library. The advantage of a consolidated module is that it allows all of the wrapped C or C++ libraries to be linked against a single module. If the linking is done statically then deployment of generated modules can be greatly simplified.
It follows that a component module can be built in one of two ways, as a
normal standalone module, or as a component of a consolidated module. When
building as a component the -p
command line option should be used to
specify the name of the consolidated module.
-
%ConvertFromTypeCode
¶
%ConvertFromTypeCode code %End
This directive is used as part of the %MappedType
directive (when
it is required) or of a class specification (when it is optional) to specify
the handwritten code that converts an instance of a C/C++ type to a Python
object.
If used as part of a class specification then instances of the class will be
automatically converted to the Python object, even though the class itself has
been wrapped. This behaviour can be changed on a temporary basis from an
application by calling the sip.enableautoconversion()
function, or from
handwritten code by calling the sipEnableAutoconversion()
function.
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the C/C++ instance to be converted. It will never be
zero as the conversion from zero to
Py_None
is handled before the handwritten code is called. - PyObject *sipTransferObj
- This specifies any desired ownership changes to the returned object. If it
is
NULL
then the ownership should be left unchanged. If it isPy_None
then ownership should be transferred to Python. Otherwise ownership should be transferred to C/C++ and the returned object associated with sipTransferObj. The code can choose to interpret these changes in any way. For example, if the code is converting a C++ container of wrapped classes to a Python list it is likely that the ownership changes should be made to each element of the list.
The handwritten code must explicitly return a PyObject *
. If there was an
error then a Python exception must be raised and NULL
returned.
The following example converts a QList<QWidget *>
instance to a Python
list of QWidget
instances:
%ConvertFromTypeCode
PyObject *l;
// Create the Python list of the correct length.
if ((l = PyList_New(sipCpp->size())) == NULL)
return NULL;
// Go through each element in the C++ instance and convert it to a
// wrapped QWidget.
for (int i = 0; i < sipCpp->size(); ++i)
{
QWidget *w = sipCpp->at(i);
PyObject *wobj;
// Get the Python wrapper for the QWidget instance, creating a new
// one if necessary, and handle any ownership transfer.
if ((wobj = sipConvertFromType(w, sipType_QWidget, sipTransferObj)) == NULL)
{
// There was an error so garbage collect the Python list.
Py_DECREF(l);
return NULL;
}
// Add the wrapper to the list.
PyList_SET_ITEM(l, i, wobj);
}
// Return the Python list.
return l;
%End
-
%ConvertToSubClassCode
¶
%ConvertToSubClassCode code %End
When SIP needs to wrap a C++ class instance it first checks to make sure it hasn’t already done so. If it has then it just returns a new reference to the corresponding Python object. Otherwise it creates a new Python object of the appropriate type. In C++ a function may be defined to return an instance of a certain class, but can often return a sub-class instead.
This directive is used to specify handwritten code that exploits any available real-time type information (RTTI) to see if there is a more specific Python type that can be used when wrapping the C++ instance. The RTTI may be provided by the compiler or by the C++ instance itself.
The directive is included in the specification of one of the classes that the handwritten code handles the type conversion for. It doesn’t matter which one, but a sensible choice would be the one at the root of that class hierarchy in the module.
Note that if a class hierarchy extends over a number of modules then this directive should be used in each of those modules to handle the part of the hierarchy defined in that module. SIP will ensure that the different pieces of code are called in the right order to determine the most specific Python type to use.
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the C++ class instance.
- void **sipCppRet
- When the sub-class is derived from more than one super-class then it is
possible that the C++ address of the instance as the sub-class is
different to that of the super-class. If so, then this must be set to the
C++ address of the instance when cast (usually using
static_cast
) from the super-class to the sub-class. - const sipTypeDef *sipType
The handwritten code must set this to the SIP generated type structure that corresponds to the class instance. (The type structure for class
Klass
issipType_Klass
.) If the RTTI of the class instance isn’t recognised thensipType
must be set toNULL
. The code doesn’t have to recognise the exact class, only the most specific sub-class that it can.The code may also set the value to a type that is apparently unrelated to the requested type. If this happens then the whole conversion process is started again using the new type as the requested type. This is typically used to deal with classes that have more than one super-class that are subject to this conversion process. It allows the code for one super-class to switch to the code for another (more appropriate) super-class.
- sipWrapperType *sipClass
Deprecated since version 4.8: Use
sipType
instead.The handwritten code must set this to the SIP generated Python type object that corresponds to the class instance. (The type object for class
Klass
issipClass_Klass
.) If the RTTI of the class instance isn’t recognised thensipClass
must be set toNULL
. The code doesn’t have to recognise the exact class, only the most specific sub-class that it can.
The handwritten code must not explicitly return.
The following example shows the sub-class conversion code for QEvent
based
class hierarchy in PyQt:
class QEvent
{
%ConvertToSubClassCode
// QEvent sub-classes provide a unique type ID.
switch (sipCpp->type())
{
case QEvent::Timer:
sipType = sipType_QTimerEvent;
break;
case QEvent::KeyPress:
case QEvent::KeyRelease:
sipType = sipType_QKeyEvent;
break;
// Skip the remaining event types to keep the example short.
default:
// We don't recognise the type.
sipType = NULL;
}
%End
// The rest of the class specification.
};
-
%ConvertToTypeCode
¶
%ConvertToTypeCode code %End
This directive is used to specify the handwritten code that converts a Python
object to a mapped type instance and to handle any ownership transfers. It is
used as part of the %MappedType
directive and as part of a class
specification. The code is also called to determine if the Python object is of
the correct type prior to conversion.
When used as part of a class specification it can automatically convert
additional types of Python object. For example, PyQt uses it in the
specification of the QString
class to allow Python string objects and
unicode objects to be used wherever QString
instances are expected.
The following variables are made available to the handwritten code:
- int *sipIsErr
- If this is
NULL
then the code is being asked to check the type of the Python object. The check must not have any side effects. Otherwise the code is being asked to convert the Python object and a non-zero value should be returned through this pointer if an error occurred during the conversion. - PyObject *sipPy
- This is the Python object to be converted.
- type **sipCppPtr
- This is a pointer through which the address of the mapped type instance (or
zero if appropriate) is returned. Its value is undefined if
sipIsErr
isNULL
. - PyObject *sipTransferObj
- This specifies any desired ownership changes to sipPy. If it is
NULL
then the ownership should be left unchanged. If it isPy_None
then ownership should be transferred to Python. Otherwise ownership should be transferred to C/C++ and sipPy associated with sipTransferObj. The code can choose to interpret these changes in any way.
The handwritten code must explicitly return an int
the meaning of which
depends on the value of sipIsErr
.
If sipIsErr
is NULL
then a non-zero value is returned if the Python
object has a type that can be converted to the mapped type. Otherwise zero is
returned.
If sipIsErr
is not NULL
then a combination of the following flags is
returned.
SIP_TEMPORARY
is set to indicate that the returned instance is a temporary and should be released to avoid a memory leak.SIP_DERIVED_CLASS
is set to indicate that the type of the returned instance is a derived class. See Generated Derived Classes.
The following example converts a Python list of QPoint
instances to a
QList<QPoint>
instance:
%ConvertToTypeCode
// See if we are just being asked to check the type of the Python
// object.
if (!sipIsErr)
{
// Checking whether or not None has been passed instead of a list
// has already been done.
if (!PyList_Check(sipPy))
return 0;
// Check the type of each element. We specify SIP_NOT_NONE to
// disallow None because it is a list of QPoint, not of a pointer
// to a QPoint, so None isn't appropriate.
for (int i = 0; i < PyList_GET_SIZE(sipPy); ++i)
if (!sipCanConvertToType(PyList_GET_ITEM(sipPy, i),
sipType_QPoint, SIP_NOT_NONE))
return 0;
// The type is valid.
return 1;
}
// Create the instance on the heap.
QList<QPoint> *ql = new QList<QPoint>;
for (int i = 0; i < PyList_GET_SIZE(sipPy); ++i)
{
QPoint *qp;
int state;
// Get the address of the element's C++ instance. Note that, in
// this case, we don't apply any ownership changes to the list
// elements, only to the list itself.
qp = reinterpret_cast<QPoint *>(sipConvertToType(
PyList_GET_ITEM(sipPy, i),
sipType_QPoint, 0,
SIP_NOT_NONE,
&state, sipIsErr));
// Deal with any errors.
if (*sipIsErr)
{
sipReleaseType(qp, sipType_QPoint, state);
// Tidy up.
delete ql;
// There is no temporary instance.
return 0;
}
ql->append(*qp);
// A copy of the QPoint was appended to the list so we no longer
// need it. It may be a temporary instance that should be
// destroyed, or a wrapped instance that should not be destroyed.
// sipReleaseType() will do the right thing.
sipReleaseType(qp, sipType_QPoint, state);
}
// Return the instance.
*sipCppPtr = ql;
// The instance should be regarded as temporary (and be destroyed as
// soon as it has been used) unless it has been transferred from
// Python. sipGetState() is a convenience function that implements
// this common transfer behaviour.
return sipGetState(sipTransferObj);
%End
When used in a class specification the handwritten code replaces the code that
would normally be automatically generated. This means that the handwritten
code must also handle instances of the class itself and not just the additional
types that are being supported. This should be done by making calls to
sipCanConvertToType()
to check the object type and
sipConvertToType()
to convert the object. The
SIP_NO_CONVERTORS
flag must be passed to both these functions to
prevent recursive calls to the handwritten code.
-
%Copying
¶
%Copying text %End
This directive is used to specify some arbitrary text that will be included at the start of all source files generated by SIP. It is normally used to include copyright and licensing terms.
For example:
%Copying
Copyright (c) 2015 Riverbank Computing Limited
%End
-
%DefaultDocstringFormat
¶
New in version 4.13.
%DefaultDocstringFormat(name = ["raw" | "deindented"])
This directive is used to specify the default formatting of docstrings, i.e.
when the %Docstring
directive does not specify an explicit format.
See the %Docstring
directive for an explanation of the different
formats. If the directive is not specified then the default format used is
"raw"
.
For example:
%DefaultDocstringFormat "deindented"
-
%DefaultEncoding
¶
%DefaultEncoding(name = ["ASCII" | "Latin-1" | "UTF-8" | "None"])
This directive is used to specify the default encoding used for char
,
const char
, char *
or const char *
values. An encoding of
"None"
means that the value is unencoded. The default can be overridden
for a particular value using the Encoding
annotation.
If the directive is not specified then the default encoding of the last imported module is used, if any.
For example:
%DefaultEncoding "Latin-1"
-
%DefaultMetatype
¶
%DefaultMetatype(name = dotted-name)
This directive is used to specify the Python type that should be used as the meta-type for any C/C++ data type defined in the same module, and by importing modules, that doesn’t have an explicit meta-type.
If this is not specified then sip.wrappertype
is used.
You can also use the Metatype
class annotation to specify the
meta-type used by a particular C/C++ type.
See the section Types and Meta-types for more details.
For example:
%DefaultMetatype PyQt4.QtCore.pyqtWrapperType
-
%DefaultSupertype
¶
%DefaultSupertype(name = dotted-name)
This directive is used to specify the Python type that should be used as the super-type for any C/C++ data type defined in the same module that doesn’t have an explicit super-type.
If this is not specified then sip.wrapper
is used.
You can also use the Supertype
class annotation to specify the
super-type used by a particular C/C++ type.
See the section Types and Meta-types for more details.
For example:
%DefaultSupertype sip.simplewrapper
-
%Doc
¶
Deprecated since version 4.12: Use the %Extract
directive instead.
%Doc text %End
This directive is used to specify some arbitrary text that will be extracted
by SIP when the -d
command line option is used. The directive can be
specified any number of times and SIP will concatenate all the separate pieces
of text in the order that it sees them.
Documentation that is specified using this directive is local to the module in
which it appears. It is ignored by modules that %Import
it. Use
the %ExportedDoc
directive for documentation that should be
included by all modules that %Import
this one.
For example:
%Doc
<h1>An Example</h1>
<p>
This fragment of documentation is HTML and is local to the module in
which it is defined.
</p>
%End
-
%Docstring
¶
New in version 4.10.
%Docstring(format = ["raw" | "deindented"]) text %End
This directive is used to specify explicit docstrings for modules, classes, functions, methods and properties.
The docstring of a class is made up of the docstring specified for the class itself, with the docstrings specified for each contructor appended.
The docstring of a function or method is made up of the concatenated docstrings specified for each of the overloads.
Specifying an explicit docstring will prevent SIP from generating an automatic docstring that describes the Python signature of a function or method overload. This means that SIP will generate less informative exceptions (i.e. without a full signature) when it fails to match a set of arguments to any function or method overload.
New in version 4.13.
The format may either be "raw"
or "deindented"
. If it is not specified
then the value specified by any %DefaultDocstringFormat
directive
is used.
If the format is "raw"
then the docstring is used as it appears in the
specification file.
If the format is "deindented"
then any leading spaces common to all
non-blank lines of the docstring are removed.
For example:
class Klass
{
%Docstring
This will be at the start of the class's docstring.
%End
public:
Klass();
%Docstring deindented
This will be appended to the class's docstring and will not be indented.
This will be indented by four spaces.
%End
};
-
%End
¶
This isn’t a directive in itself, but is used to terminate a number of directives that allow a block of handwritten code or text to be specified.
-
%Exception
¶
%Exception name [(base-exception)] { [%TypeHeaderCode
]%RaiseCode
};
This directive is used to define new Python exceptions, or to provide a stub
for existing Python exceptions. It allows handwritten code to be provided
that implements the translation between C++ exceptions and Python exceptions.
The arguments to throw ()
specifiers must either be names of classes or the
names of Python exceptions defined by this directive.
name is the name of the exception.
base-exception is the optional base exception. This may be either one of
the standard Python exceptions or one defined with a previous
%Exception
directive.
The optional %TypeHeaderCode
sub-directive is used to specify any
external interface to the exception being defined.
The %RaiseCode
sub-directive is used to specify the handwritten
code that converts a reference to the C++ exception to the Python exception.
For example:
%Exception std::exception(SIP_Exception) /PyName=StdException/
{
%TypeHeaderCode
#include <exception>
%End
%RaiseCode
const char *detail = sipExceptionRef.what();
SIP_BLOCK_THREADS
PyErr_SetString(sipException_std_exception, detail);
SIP_UNBLOCK_THREADS
%End
};
In this example we map the standard C++ exception to a new Python exception.
The new exception is called StdException
and is derived from the standard
Python exception Exception
.
An exception may be annotated with Default
to specify that it should
be caught by default if there is no throw
clause.
-
%ExportedDoc
¶
Deprecated since version 4.12: Use the %Extract
directive instead.
%ExportedDoc text %End
This directive is used to specify some arbitrary text that will be extracted
by SIP when the -d
command line option is used. The directive can be
specified any number of times and SIP will concatenate all the separate pieces
of text in the order that it sees them.
Documentation that is specified using this directive will also be included by
modules that %Import
it.
For example:
%ExportedDoc
==========
An Example
==========
This fragment of documentation is reStructuredText and will appear in the
module in which it is defined and all modules that %Import it.
%End
-
%ExportedHeaderCode
¶
%ExportedHeaderCode code %End
This directive is used to specify handwritten code, typically the declarations of types, that is placed in a header file that is included by all generated code for all modules. It should not include function declarations because Python modules should not explicitly call functions in another Python module.
See also
-
%ExportedTypeHintCode
¶
New in version 4.18.
%ExportedTypeHintCode code %End
This directive is used to specify handwritten code, typically the declarations of types, that is placed in the PEP 484 type hint stub file for any module that imports it. Note that it is not included in the stub file for the module itself.
See also
-
%Extract
¶
New in version 4.12.
%Extract(id = name [, order = integer]) text %End
This directive is used to specify part of an extract. An extract is a
collection of arbitrary text specified as one or more parts each having the
same id
. SIP places no interpretation on an identifier, or on the
contents of the extract. Extracts may be used for any purpose, e.g.
documentation, tests etc.
The part’s optional order
determines its position relative to the extract’s
other parts. If the order is not specified then the part is appended to the
extract.
An extract is written to a file using the -X
command line
option.
For example:
%Extract example
This will be the last line because there is no explicit order.
%End
%Extract(id=example, order=20)
This will be the second line.
%End
%Extract(id=example, order=10)
This will be the first line.
%End
-
%Feature
¶
%Feature(name = name)
This directive is used to declare a feature. Features (along with
%Platforms
and %Timeline
) are used by the
%If
directive to control whether or not parts of a specification
are processed or ignored.
Features are mutually independent of each other - any combination of features
may be enabled or disabled. By default all features are enabled. The
-x
command line option is used to disable a feature.
If a feature is enabled then SIP will automatically generate a corresponding C
preprocessor symbol for use by handwritten code. The symbol is the name of
the feature prefixed by SIP_FEATURE_
.
For example:
%Feature FOO_SUPPORT
%If (FOO_SUPPORT)
void foo();
%End
-
%FinalisationCode
¶
New in version 4.15.
%FinalisationCode code %End
This directive is used to specify handwritten code that is executed once the
instance of a wrapped class has been created. The handwritten code is passed a
dictionary of any remaining keyword arguments. It must explicitly return an
integer result which should be 0
if there was no error. If an error
occurred then -1
should be returned and a Python exception raised.
The following variables are made available to the handwritten code:
- PyObject *sipSelf
- This is the Python object that wraps the structure or class instance, i.e.
self
. - type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class.
- PyObject *sipKwds
- This is an optional dictionary of unused keyword arguments. It may be
NULL
or refer to an empty dictionary. If the handwritten code handles any of the arguments then, ifsipUnused
isNULL
, those arguments must be removed from the dictionary. IfsipUnused
is notNULL
then thesipKwds
dictionary must not be updated. Instead a new dictionary must be created that contains any remaining unused keyword arguments and the address of the new dictionary returned viasipUnused
. This rather complicated API ensures that new dictionaries are created only when necessary. - PyObject **sipUnused
- This is an optional pointer to where the handwritten code should save the
address of any new dictionary of unused keyword arguments that it creates.
If it is
NULL
then the handwritten code is allowed to update thesipKwds
dictionary.
-
%GCClearCode
¶
%GCClearCode code %End
Python has a cyclic garbage collector which can identify and release unneeded objects even when their reference counts are not zero. If a wrapped C structure or C++ class keeps its own reference to a Python object then, if the garbage collector is to do its job, it needs to provide some handwritten code to traverse and potentially clear those embedded references.
See the section Supporting Cyclic Garbage Collection in the Python documentation for the details.
This directive is used to specify the code that clears any embedded references.
(See %GCTraverseCode
for specifying the code that traverses any
embedded references.)
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class.
- int sipRes
- The handwritten code should set this to the result to be returned.
The following simplified example is taken from PyQt. The QCustomEvent
class allows arbitary data to be attached to the event. In PyQt this data is
always a Python object and so should be handled by the garbage collector:
%GCClearCode
PyObject *obj;
// Get the object.
obj = reinterpret_cast<PyObject *>(sipCpp->data());
// Clear the pointer.
sipCpp->setData(0);
// Clear the reference.
Py_XDECREF(obj);
// Report no error.
sipRes = 0;
%End
-
%GCTraverseCode
¶
%GCTraverseCode code %End
This directive is used to specify the code that traverses any embedded
references for Python’s cyclic garbage collector. (See
%GCClearCode
for a full explanation.)
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class.
- visitproc sipVisit
- This is the visit function provided by the garbage collector.
- void *sipArg
- This is the argument to the visit function provided by the garbage collector.
- int sipRes
- The handwritten code should set this to the result to be returned.
The following simplified example is taken from PyQt’s QCustomEvent
class:
%GCTraverseCode
PyObject *obj;
// Get the object.
obj = reinterpret_cast<PyObject *>(sipCpp->data());
// Call the visit function if there was an object.
if (obj)
sipRes = sipVisit(obj, sipArg);
else
sipRes = 0;
%End
-
%GetCode
¶
%GetCode code %End
This sub-directive is used in the declaration of a C++ class variable or C structure member to specify handwritten code to convert it to a Python object. It is usually used to handle types that SIP cannot deal with automatically.
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class. It is not made available if the variable being wrapped is a static class variable.
- PyObject *sipPy
- The handwritten code must set this to the Python representation of the
class variable or structure member. If there is an error then the code
must raise an exception and set this to
NULL
. - PyObject *sipPyType
- If the variable being wrapped is a static class variable then this is the Python type object of the class from which the variable was referenced (not the class in which it is defined). It may be safely cast to a PyTypeObject * or a sipWrapperType *.
For example:
struct Entity
{
/*
* In this contrived example the C library we are wrapping actually
* defines this as char buffer[100] which SIP cannot handle
* automatically.
*/
char *buffer
{
%GetCode
sipPy = PyString_FromStringAndSize(sipCpp->buffer, 100);
%End
%SetCode
char *ptr;
int length;
if (PyString_AsStringAndSize(sipPy, &ptr, &length) == -1)
{
sipErr = 1;
}
else if (length != 100)
{
/*
* Raise an exception because the length isn't exactly
* right.
*/
PyErr_SetString(PyExc_ValueError,
"an Entity.buffer must be exactly 100 bytes");
sipErr = 1;
}
else
{
memcpy(sipCpp->buffer, ptr, 100);
}
%End
};
}
See also
-
%HideNamespace
¶
New in version 4.19.
%HideNamespace(name = name)
This directive is used to specify that a C++ namespace, which would normally be wrapped as a Python class, is not wrapped. The contents of the namespace are still wrapped but are placed in the module dictionary. This is usually used when a library being wrapped uses a single namespace that includes everything in the library. In Python the module itself performs the same function as the namespace and so the namespace would just add an unneccessary extra level of indirection.
-
%If
¶
%If (expression) specification %End
where
expression ::= [ored-qualifiers | range] ored-qualifiers ::= [qualifier | qualifier || ored-qualifiers] qualifier ::= [!] [feature | platform] range ::= [version] - [version]
This directive is used in conjunction with features (see
%Feature
), platforms (see %Platforms
) and versions
(see %Timeline
) to control whether or not parts of a specification
are processed or not.
A range of versions means all versions starting with the lower bound up to but excluding the upper bound. If the lower bound is omitted then it is interpreted as being before the earliest version. If the upper bound is omitted then it is interpreted as being after the latest version.
For example:
%Feature SUPPORT_FOO
%Platforms {WIN32_PLATFORM POSIX_PLATFORM MACOS_PLATFORM}
%Timeline {V1_0 V1_1 V2_0 V3_0}
%If (!SUPPORT_FOO)
// Process this if the SUPPORT_FOO feature is disabled.
%End
%If (POSIX_PLATFORM || MACOS_PLATFORM)
// Process this if either the POSIX_PLATFORM or MACOS_PLATFORM
// platforms are enabled.
%End
%If (V1_0 - V2_0)
// Process this if either V1_0 or V1_1 is enabled.
%End
%If (V2_0 - )
// Process this if either V2_0 or V3_0 is enabled.
%End
%If (SIP_4_13 - )
// SIP v4.13 and later will process this.
%End
%If ( - )
// Always process this.
%End
Also note that the only way to specify the logical and of qualifiers is to use
nested %If
directives.
-
%Import
¶
%Import(name = filename)
This directive is used to import the specification of another module. This is needed if the current module makes use of any types defined in the imported module, e.g. as an argument to a function, or to sub-class.
If name
cannot be opened then SIP prepends name
with the name of the
directory containing the current specification file (i.e. the one containing
the %Import
directive) and tries again. If this also fails then
SIP prepends name
with each of the directories, in turn, specified by the
-I
command line option.
Directory separators must always be /
.
For example:
%Import qt/qtmod.sip
-
%Include
¶
%Include(name = filename [, optional = [True | False]])
This directive is used to include contents of another file as part of the
specification of the current module. It is the equivalent of the C
preprocessor’s #include
directive and is used to structure a large module
specification into manageable pieces.
%Include
follows the same search process as the
%Import
directive when trying to open name
.
if optional
is set then SIP will silently continue processing if the file
could not be opened.
Directory separators must always be /
.
For example:
%Include qwidget.sip
-
%InitialisationCode
¶
%InitialisationCode code %End
This directive is used to specify handwritten code that is embedded in-line in the generated module initialisation code after the SIP module has been imported but before the module itself has been initialised.
It is typically used to call sipRegisterPyType()
.
For example:
%InitialisationCode
// The code will be executed when the module is first imported, after
// the SIP module has been imported, but before other module-specific
// initialisation has been completed.
%End
-
%InstanceCode
¶
New in version 4.14.
%InstanceCode code %End
There are a number of circumstances where SIP needs to create an instance of a C++ class but may not be able to do so. For example the C++ class may be abstract or may not have an argumentless public constructor. This directive is used in the definition of a class or mapped type to specify handwritten code to create an instance of the C++ class. For example, if the C++ class is abstract, then the handwritten code may return an instance of a concrete sub-class.
The following variable is made available to the handwritten code:
- type *sipCpp
- This must be set by the handwritten code to the address of an instance of the C++ class. It doesn’t matter if the instance is on the heap or not as it will never be explicitly destroyed.
-
%License
¶
%License(type = string [, licensee = string] [, signature = string] [, timestamp = string])
This directive is used to specify the contents of an optional license
dictionary. The license dictionary is called __license__
and is stored
in the module dictionary.
type
is the type of the license and its value in the license dictionary is
accessed using the "Type"
key. No restrictions are placed on the value.
licensee
is the optional name of the licensee and its value in the license
dictionary is accessed using the "Licensee"
key. No restrictions are
placed on the value.
signature
is the license’s optional signature and its value in the license
dictionary is accessed using the "Signature"
key. No restrictions are
placed on the value.
timestamp
is the license’s optional timestamp and its value in the license
dictionary is accessed using the "Timestamp"
key. No restrictions are
placed on the value.
Note that this directive isn’t an attempt to impose any licensing restrictions on a module. It is simply a method for easily embedding licensing information in a module so that it is accessible to Python scripts.
For example:
%License "GPL"
-
%MappedType
¶
template<type-list> %MappedType type { [%TypeHeaderCode
] [%ConvertToTypeCode
] [%ConvertFromTypeCode
] }; %MappedType type { [%TypeHeaderCode
] [%ConvertToTypeCode
] [%ConvertFromTypeCode
] };
This directive is used to define an automatic mapping between a C or C++ type and a Python type. It can be used as part of a template, or to map a specific type.
When used as part of a template type cannot itself refer to a template. Any
occurrences of any of the type names (but not any *
or &
) in
type-list will be replaced by the actual type names used when the template is
instantiated. Template mapped types are instantiated automatically as required
(unlike template classes which are only instantiated using typedef
).
Any explicit mapped type will be used in preference to any template that maps the same type, ie. a template will not be automatically instantiated if there is an explicit mapped type.
The optional %TypeHeaderCode
sub-directive is used to specify the
library interface to the type being mapped.
The optional %ConvertToTypeCode
sub-directive is used to specify
the handwritten code that converts a Python object to an instance of the mapped
type.
The optional %ConvertFromTypeCode
sub-directive is used to specify
the handwritten code that converts an instance of the mapped type to a Python
object.
For example:
template<Type *>
%MappedType QList
{
%TypeHeaderCode
// Include the library interface to the type being mapped.
#include <qlist.h>
%End
%ConvertToTypeCode
// See if we are just being asked to check the type of the Python
// object.
if (sipIsErr == NULL)
{
// Check it is a list.
if (!PyList_Check(sipPy))
return 0;
// Now check each element of the list is of the type we expect.
// The template is for a pointer type so we don't disallow None.
for (int i = 0; i < PyList_GET_SIZE(sipPy); ++i)
if (!sipCanConvertToType(PyList_GET_ITEM(sipPy, i),
sipType_Type, 0))
return 0;
return 1;
}
// Create the instance on the heap.
QList<Type *> *ql = new QList<Type *>;
for (int i = 0; i < PyList_GET_SIZE(sipPy); ++i)
{
// Use the SIP API to convert the Python object to the
// corresponding C++ instance. Note that we apply any ownership
// transfer to the list itself, not the individual elements.
Type *t = reinterpret_cast<Type *>(sipConvertToType(
PyList_GET_ITEM(sipPy, i),
sipType_Type, 0, 0, 0,
sipIsErr));
if (*sipIsErr)
{
// Tidy up.
delete ql;
// There is nothing on the heap.
return 0;
}
// Add the pointer to the C++ instance.
ql->append(t);
}
// Return the instance on the heap.
*sipCppPtr = ql;
// Apply the normal transfer.
return sipGetState(sipTransferObj);
%End
%ConvertFromTypeCode
PyObject *l;
// Create the Python list of the correct length.
if ((l = PyList_New(sipCpp->size())) == NULL)
return NULL;
// Go through each element in the C++ instance and convert it to the
// corresponding Python object.
for (int i = 0; i < sipCpp->size(); ++i)
{
Type *t = sipCpp->at(i);
PyObject *tobj;
if ((tobj = sipConvertFromType(t, sipType_Type, sipTransferObj)) == NULL)
{
// There was an error so garbage collect the Python list.
Py_DECREF(l);
return NULL;
}
PyList_SET_ITEM(l, i, tobj);
}
// Return the Python list.
return l;
%End
};
Using this we can use, for example, QList<QObject *>
throughout the
module’s specification files (and in any module that imports this one). The
generated code will automatically map this to and from a Python list of QObject
instances when appropriate.
-
%MethodCode
¶
%MethodCode code %End
This directive is used as part of the specification of a global function, class method, operator, constructor or destructor to specify handwritten code that replaces the normally generated call to the function being wrapped. It is usually used to handle argument types and results that SIP cannot deal with automatically.
Normally the specified code is embedded in-line after the function’s arguments
have been successfully converted from Python objects to their C or C++
equivalents. In this case the specified code must not include any return
statements.
However if the NoArgParser
annotation has been used then the specified
code is also responsible for parsing the arguments. No other code is generated
by SIP and the specified code must include a return
statement.
In the context of a destructor the specified code is embedded in-line in the Python type’s deallocation function. Unlike other contexts it supplements rather than replaces the normally generated code, so it must not include code to return the C structure or C++ class instance to the heap. The code is only called if ownership of the structure or class is with Python.
The specified code must also handle the Python Global Interpreter Lock (GIL). If compatibility with SIP v3.x is required then the GIL must be released immediately before the C++ call and reacquired immediately afterwards as shown in this example fragment:
Py_BEGIN_ALLOW_THREADS
sipCpp->foo();
Py_END_ALLOW_THREADS
If compatibility with SIP v3.x is not required then this is optional but
should be done if the C++ function might block the current thread or take a
significant amount of time to execute. (See The Python Global Interpreter Lock and the
ReleaseGIL
and HoldGIL
annotations.)
If the NoArgParser
annotation has not been used then the following
variables are made available to the handwritten code:
- type a0
There is a variable for each argument of the Python signature (excluding any
self
argument) nameda0
,a1
, etc. Ifuse_argument_names
has been set in the%Module
directive then the name of the argument is the real name. The type of the variable is the same as the type defined in the specification with the following exceptions:- if the argument is only used to return a value (e.g. it is an
int *
without anIn
annotation) then the type has one less level of indirection (e.g. it will be anint
) - if the argument is a structure or class (or a reference or a pointer to a structure or class) then type will always be a pointer to the structure or class.
Note that handwritten code for destructors never has any arguments.
- if the argument is only used to return a value (e.g. it is an
- PyObject *a0Wrapper
This variable is made available only if the
GetWrapper
annotation is specified for the corresponding argument. The variable is a pointer to the Python object that wraps the argument.If
use_argument_names
has been set in the%Module
directive then the name of the variable is the real name of the argument withWrapper
appended.- type *sipCpp
If the directive is used in the context of a class constructor then this must be set by the handwritten code to the constructed instance. If it is set to
0
and no Python exception is raised then SIP will continue to try other Python signatures.If the directive is used in the context of a method (but not the standard binary operator methods, e.g.
__add__()
) or a destructor then this is a pointer to the C structure or C++ class instance.Its type is a pointer to the structure or class.
Standard binary operator methods follow the same convention as global functions and instead define two arguments called
a0
anda1
.- sipErrorState sipError
The handwritten code should set this to either
sipErrorContinue
orsipErrorFail
, and raise an appropriate Python exception, if an error is detected. Its initial value will besipErrorNone
.When
sipErrorContinue
is used, SIP will remember the exception as the reason why the particular overloaded callable could not be invoked. It will then continue to try the next overloaded callable. It is typically used by code that needs to do additional type checking of the callable’s arguments.When
sipErrorFail
is used, SIP will report the exception immediately and will not attempt to invoke other overloaded callables.sipError
is not provided for destructors.- int sipIsErr
The handwritten code should set this to a non-zero value, and raise an appropriate Python exception, if an error is detected. This is the equivalent of setting
sipError
tosipErrorFail
. Its initial value will be0
.sipIsErr
is not provided for destructors.- type sipRes
The handwritten code should set this to the result to be returned. The type of the variable is the same as the type defined in the Python signature in the specification with the following exception:
- if the argument is a structure or class (or a reference or a pointer to a structure or class) then type will always be a pointer to the structure or class.
sipRes
is not provided for inplace operators (e.g.+=
or__imul__()
) as their results are handled automatically, nor for class constructors or destructors.- PyObject *sipSelf
- If the directive is used in the context of a class constructor, destructor
or method then this is the Python object that wraps the structure or class
instance, i.e.
self
. - bool sipSelfWasArg
This is only made available for non-abstract, virtual methods. It is set if
self
was explicitly passed as the first argument of the method rather than being bound to the method. In other words, the call was:Klass.foo(self, ...)
rather than:
self.foo(...)
If the NoArgParser
annotation has been used then only the following
variables are made available to the handwritten code:
- PyObject *sipArgs
- This is the tuple of arguments.
- PyObject *sipKwds
- This is the dictionary of keyword arguments.
The following is a complete example:
class Klass
{
public:
virtual int foo(SIP_PYTUPLE);
%MethodCode
// The C++ API takes a 2 element array of integers but passing a
// two element tuple is more Pythonic.
int iarr[2];
if (PyArg_ParseTuple(a0, "ii", &iarr[0], &iarr[1]))
{
Py_BEGIN_ALLOW_THREADS
sipRes = sipSelfWasArg ? sipCpp->Klass::foo(iarr)
: sipCpp->foo(iarr);
Py_END_ALLOW_THREADS
}
else
{
// PyArg_ParseTuple() will have raised the exception.
sipIsErr = 1;
}
%End
};
As the example is a virtual method [1], note the use of sipSelfWasArg
to
determine exactly which implementation of foo()
to call.
If a method is in the protected
section of a C++ class then SIP generates
helpers that provide access to method. However, these are not available if
the Python module is being built with protected
redefined as public
.
The following pattern should be used to cover all possibilities:
#if defined(SIP_PROTECTED_IS_PUBLIC)
sipRes = sipSelfWasArg ? sipCpp->Klass::foo(iarr)
: sipCpp->foo(iarr);
#else
sipRes = sipCpp->sipProtectVirt_foo(sipSelfWasArg, iarr);
#endif
If a method is in the protected
section of a C++ class but is not virtual
then the pattern should instead be:
#if defined(SIP_PROTECTED_IS_PUBLIC)
sipRes = sipCpp->foo(iarr);
#else
sipRes = sipCpp->sipProtect_foo(iarr);
#endif
[1] | See %VirtualCatcherCode for a description of how SIP
generated code handles the reimplementation of C++ virtual methods in
Python. |
-
%Module
¶
%Module(name = dotted-name [, all_raise_py_exception = [True | False]] [, call_super_init = [True | False]] [, default_VirtualErrorHandler = name] [, keyword_arguments = ["None" | "All" | "Optional"]] [, language = string] [, use_argument_names = [True | False]] [, use_limited_api = [True | False]] [, version = integer]) { [%AutoPyName
] [%Docstring
] };
This directive is used to specify the name of a module and a number of other
attributes. name
may contain periods to specify that the module is part of
a Python package.
all_raise_py_exception
specifies that all constructors, functions and
methods defined in the module raise a Python exception to indicate that an
error occurred. It is the equivalent of using the RaisesPyException
function annotation on every constructor, function and method.
call_super_init
specifies that the __init__()
method of a wrapped class
should automatically call it’s super-class’s __init__()
method passing a
dictionary of any unused keyword arguments. In other words, wrapped classes
support cooperative multi-inheritance. This means that sub-classes, and any
mixin classes, should always use call super().__init__()
and not call any
super-class’s __init__()
method explicitly.
default_VirtualErrorHandler
specifies the handler (defined by the
%VirtualErrorHandler
directive) that is called when a Python
re-implementation of any virtual C++ function raises a Python exception. If no
handler is specified for a virtual C++ function then PyErr_Print()
is
called.
keyword_arguments
specifies the default level of support for Python keyword
arguments. See the KeywordArgs
annotation for an explaination of the
possible values and their effect. If it is not specified then the value
implied by the (deprecated) -k
command line option is used.
language
specifies the implementation language of the library being
wrapped. Its value is either "C++"
(the default) or "C"
.
When providing handwritten code as part of either the %MethodCode
or %VirtualCatcherCode
directives the names of the arguments of
the function or method are based on the number of the argument, i.e. the first
argument is named a0
, the second a1
and so on. use_argument_names
is set to specify that the real name of the argument, if any, should be used
instead. It also affects the name of the variable created when the
GetWrapper
argument annotation is used.
use_limited_api
specifies that the generated code will only use the
limited Python API defined in PEP 384. It also ensures that the C preprocessor
symbol Py_LIMITED_API
is defined before the Python.h
header file is
included. Python extensions built in this way are independent of the version
of Python being used. It is ignored for Python v2.
version
is an optional version number that is useful if you (or others)
might create other modules that build on this module, i.e. if another module
might %Import
this module. Under the covers, a module exports an
API that is used by modules that %Import
it and the API is given a
version number. A module built on that module knows the version number of the
API that it is expecting. If, when the modules are imported at run-time, the
version numbers do not match then a Python exception is raised. The dependent
module must then be re-built using the correct specification files for the base
module. This is deprecated and ignored in SIP v4.19.
The optional %AutoPyName
sub-directive is used to specify a rule
for automatically providing Python names.
The optional %Docstring
sub-directive is used to specify the
module’s docstring.
For example:
%Module(name=PyQt4.QtCore, version=5)
-
%ModuleCode
¶
%ModuleCode code %End
This directive is used to specify handwritten code, typically the implementations of utility functions, that can be called by other handwritten code in the module.
For example:
%ModuleCode
// Print an object on stderr for debugging purposes.
void dump_object(PyObject *o)
{
PyObject_Print(o, stderr, 0);
fprintf(stderr, "\n");
}
%End
See also
-
%ModuleHeaderCode
¶
%ModuleHeaderCode code %End
This directive is used to specify handwritten code, typically the declarations of utility functions, that is placed in a header file that is included by all generated code for the same module.
For example:
%ModuleHeaderCode
void dump_object(PyObject *o);
%End
See also
-
%OptionalInclude
¶
%OptionalInclude filename
Deprecated since version 4.12: Use the %Include
directive with the optional
argument set
to True
instead.
This directive is identical to the %Include
directive except that
SIP silently continues processing if filename could not be opened.
For example:
%OptionalInclude license.sip
-
%PickleCode
¶
%PickleCode code %End
This directive is used to specify handwritten code to pickle a C structure or C++ class instance.
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class.
- PyObject *sipRes
- The handwritten code must set this to a tuple of the arguments that will
be passed to the type’s
__init__()
method when the structure or class instance is unpickled. If there is an error then the code must raise an exception and set this toNULL
.
For example:
class Point
{
Point(int x, y);
int x() const;
int y() const;
%PickleCode
sipRes = Py_BuildValue("ii", sipCpp->x(), sipCpp->y());
%End
}
Note that SIP works around the Python limitation that prevents nested types being pickled.
Both named and unnamed enums can be pickled automatically without providing any handwritten code.
-
%Platforms
¶
%Platforms {name name ...}
This directive is used to declare a set of platforms. Platforms (along with
%Feature
and %Timeline
) are used by the
%If
directive to control whether or not parts of a specification
are processed or ignored.
Platforms are mutually exclusive - only one platform can be enabled at a time.
By default all platforms are disabled. The SIP -t
command
line option is used to enable a platform.
New in version 4.14.
If a platform is enabled then SIP will automatically generate a corresponding C
preprocessor symbol for use by handwritten code. The symbol is the name of
the platform prefixed by SIP_PLATFORM_
.
For example:
%Platforms {WIN32_PLATFORM POSIX_PLATFORM MACOS_PLATFORM}
%If (WIN32_PLATFORM)
void undocumented();
%End
%If (POSIX_PLATFORM)
void documented();
%End
-
%PostInitialisationCode
¶
%PostInitialisationCode code %End
This directive is used to specify handwritten code that is embedded in-line at the very end of the generated module initialisation code.
The following variables are made available to the handwritten code:
- PyObject *sipModule
- This is the module object returned by
Py_InitModule()
. - PyObject *sipModuleDict
- This is the module’s dictionary object returned by
Py_ModuleGetDict()
.
For example:
%PostInitialisationCode
// The code will be executed when the module is first imported and
// after all other initialisation has been completed.
%End
-
%PreInitialisationCode
¶
%PreInitialisationCode code %End
This directive is used to specify handwritten code that is embedded in-line at the very start of the generated module initialisation code.
For example:
%PreInitialisationCode
// The code will be executed when the module is first imported and
// before other initialisation has been completed.
%End
-
%Property
¶
New in version 4.12.
%Property(name = name, get = name [, set = name])
{
[%Docstring
]
};
This directive is used to define a Python property. name
is the name of
the property.
get
is the Python name of the getter method and must refer to a method in
the same class.
set
is the Python name of the optional setter method and must refer to a
method in the same class.
The optional %Docstring
sub-directive is used to specify the
property’s docstring.
For example:
class Klass
{
public:
int get_count() const;
void set_count();
%Property(name=count, get=get_count, set=set_count)
};
-
%PreMethodCode
¶
New in version 4.19.1.
%PreMethodCode code %End
This directive is used as part of the specification of a global function, class
method, operator, constructor or destructor to specify handwritten code that
is inserted before the default code for calling the wrapped function, or
before the %MethodCode
directive if it is also given.
-
%RaiseCode
¶
%RaiseCode code %End
This directive is used as part of the definition of an exception using the
%Exception
directive to specify handwritten code that raises a
Python exception when a C++ exception has been caught. The code is embedded
in-line as the body of a C++ catch ()
clause.
The specified code must handle the Python Global Interpreter Lock (GIL) if necessary. The GIL must be acquired before any calls to the Python API and released after the last call as shown in this example fragment:
SIP_BLOCK_THREADS
PyErr_SetNone(PyErr_Exception);
SIP_UNBLOCK_THREADS
Finally, the specified code must not include any return
statements.
The following variable is made available to the handwritten code:
- type &sipExceptionRef
- This is a reference to the caught C++ exception. The type of the
reference is the same as the type defined in the
throw ()
specifier.
See the %Exception
directive for an example.
-
%SetCode
¶
%SetCode code %End
This sub-directive is used in the declaration of a C++ class variable or C structure member to specify handwritten code to convert it from a Python object. It is usually used to handle types that SIP cannot deal with automatically.
The following variables are made available to the handwritten code:
- type *sipCpp
- This is a pointer to the structure or class instance. Its type is a pointer to the structure or class. It is not made available if the variable being wrapped is a static class variable.
- int sipErr
- If the conversion failed then the handwritten code should raise a Python exception and set this to a non-zero value. Its initial value will be automatically set to zero.
- PyObject *sipPy
- This is the Python object that the handwritten code should convert.
- PyObject *sipPyType
- If the variable being wrapped is a static class variable then this is the Python type object of the class from which the variable was referenced (not the class in which it is defined). It may be safely cast to a PyTypeObject * or a sipWrapperType *.
See also
-
%Timeline
¶
%Timeline {name name ...}
This directive is used to declare a set of versions released over a period of
time. Versions (along with %Feature
and %Platforms
)
are used by the %If
directive to control whether or not parts of a
specification are processed or ignored.
Versions are mutually exclusive - only one version can be enabled at a time.
The SIP -t
command line option is used to enable a version.
If a timeline does not have a version explicitly enabled then the latest
version will be enabled automatically.
The -B
command line option may be used to define a
backstop for a timeline. Instead of automatically enabling the latest
version, the version immediately preceeding the backstop is enabled instead.
The %Timeline
directive can be used any number of times in a
module to allow multiple libraries to be wrapped in the same module.
New in version 4.12.
SIP automatically defines a timeline containing all versions of SIP since
v4.12. The name of the version is SIP_
followed by the individual parts of
the version number separated by an underscore. SIP v4.12 is therefore
SIP_4_12
and SIP v4.13.2 is SIP_4_13_2
.
New in version 4.14.
If a particular version is enabled then SIP will automatically generate a
corresponding C preprocessor symbol for use by handwritten code. The symbol is
the name of the version prefixed by SIP_TIMELINE_
.
For example:
%Timeline {V1_0 V1_1 V2_0 V3_0}
%If (V1_0 - V2_0)
void foo();
%End
%If (V2_0 -)
void foo(int = 0);
%End
%If (- SIP_4_13)
void bar();
%End
-
%TypeCode
¶
%TypeCode code %End
This directive is used as part of the specification of a C structure, a C++
class or a %MappedType
directive to specify handwritten code,
typically the implementations of utility functions, that can be called by other
handwritten code in the structure or class.
For example:
class Klass
{
%TypeCode
// Print an instance on stderr for debugging purposes.
static void dump_klass(const Klass *k)
{
fprintf(stderr,"Klass %s at %p\n", k->name(), k);
}
%End
// The rest of the class specification.
};
Because the scope of the code is normally within the generated file that
implements the type, any utility functions would normally be declared
static
. However a naming convention should still be adopted to prevent
clashes of function names within a module in case the SIP -j
command line
option is used.
-
%TypeHeaderCode
¶
%TypeHeaderCode code %End
This directive is used to specify handwritten code that defines the interface
to a C or C++ type being wrapped, either a structure, a class, or a template.
It is used within a class definition or a %MappedType
directive.
Normally code will be a pre-processor #include
statement.
For example:
// Wrap the Klass class.
class Klass
{
%TypeHeaderCode
#include <klass.h>
%End
// The rest of the class specification.
};
-
%TypeHintCode
¶
New in version 4.18.
%TypeHintCode code %End
This directive is used, in the context of a module or an individual class, to specify handwritten code, typically the import of additional modules, that is placed in the PEP 484 type hint stub file for the module or class.
See also
-
%UnitCode
¶
%UnitCode code %End
This directive is used to specify handwritten code that is included at the very
start of a generated compilation unit (ie. C or C++ source file). It is
typically used to #include
a C++ precompiled header file.
-
%UnitPostIncludeCode
¶
New in version 4.11.
%UnitPostIncludeCode code %End
This directive is used to specify handwritten code that is included following
the #include
of all header files in a generated compilation unit (ie. C or
C++ source file).
-
%VirtualCallCode
¶
New in version 4.16.7.
%VirtualCallCode code %End
For most classes there are corresponding generated derived classes that contain reimplementations of the class’s virtual methods. These methods (which SIP calls catchers) determine if there is a corresponding Python reimplementation and call it if so. If there is no Python reimplementation then the method in the original class is called instead.
This directive is used to specify handwritten code that replaces the normally generated call to the original class method if there is no Python reimplementation.
The following variables are made available to the handwritten code in the context of a method:
- type a0
- There is a variable for each argument of the C++ signature named
a0
,a1
, etc. Ifuse_argument_names
has been set in the%Module
directive then the name of the argument is the real name. The type of the variable is the same as the type defined in the specification. - type sipRes
- The handwritten code should set this to any result to be returned. The type of the variable is the same as the type defined in the C++ signature in the specification.
-
%VirtualCatcherCode
¶
%VirtualCatcherCode code %End
This directive is used to specify handwritten code that replaces the normally generated call to the Python reimplementation of a virtual method and the handling of any returned results. It is usually used to handle argument types and results that SIP cannot deal with automatically.
This directive can also be used in the context of a class destructor to specify handwritten code that is embedded in-line in the internal derived class’s destructor.
In the context of a method the Python Global Interpreter Lock (GIL) is automatically acquired before the specified code is executed and automatically released afterwards.
In the context of a destructor the specified code must handle the GIL. The GIL must be acquired before any calls to the Python API and released after the last call as shown in this example fragment:
SIP_BLOCK_THREADS
Py_DECREF(obj);
SIP_UNBLOCK_THREADS
The following variables are made available to the handwritten code in the context of a method:
- type a0
- There is a variable for each argument of the C++ signature named
a0
,a1
, etc. Ifuse_argument_names
has been set in the%Module
directive then the name of the argument is the real name. The type of the variable is the same as the type defined in the specification. - int a0Key
There is a variable for each argument of the C++ signature that has a type where it is important to ensure that the corresponding Python object is not garbage collected too soon. This only applies to output arguments that return
'\0'
terminated strings. The variable would normally be passed tosipParseResult()
using either theA
orB
format characters.If
use_argument_names
has been set in the%Module
directive then the name of the variable is the real name of the argument withKey
appended.- int sipIsErr
- The handwritten code should set this to a non-zero value, and raise an appropriate Python exception, if an error is detected.
- PyObject *sipMethod
- This object is the Python reimplementation of the virtual C++ method. It
is normally passed to
sipCallMethod()
. - type sipRes
- The handwritten code should set this to any result to be returned. The type of the variable is the same as the type defined in the C++ signature in the specification.
- int sipResKey
- This variable is only made available if the result has a type where it is
important to ensure that the corresponding Python object is not garbage
collected too soon. This only applies to
'\0'
terminated strings. The variable would normally be passed tosipParseResult()
using either theA
orB
format characters. - sipSimpleWrapper *sipPySelf
- This variable is only made available if either the
a0Key
orsipResKey
are made available. It defines the context within which keys are unique. The variable would normally be passed tosipParseResult()
using theS
format character.
No variables are made available in the context of a destructor.
For example:
class Klass
{
public:
virtual int foo(SIP_PYTUPLE) [int (int *)];
%MethodCode
// The C++ API takes a 2 element array of integers but passing a
// two element tuple is more Pythonic.
int iarr[2];
if (PyArg_ParseTuple(a0, "ii", &iarr[0], &iarr[1]))
{
Py_BEGIN_ALLOW_THREADS
sipRes = sipCpp->Klass::foo(iarr);
Py_END_ALLOW_THREADS
}
else
{
// PyArg_ParseTuple() will have raised the exception.
sipIsErr = 1;
}
%End
%VirtualCatcherCode
// Convert the 2 element array of integers to the two element
// tuple.
PyObject *result;
result = sipCallMethod(&sipIsErr, sipMethod, "ii", a0[0], a0[1]);
if (result != NULL)
{
// Convert the result to the C++ type.
sipParseResult(&sipIsErr, sipMethod, result, "i", &sipRes);
Py_DECREF(result);
}
%End
};
-
%VirtualErrorHandler
¶
New in version 4.14.
%VirtualErrorHandler(name = name) code %End
This directive is used to define the handwritten code that implements a handler
that is called when a Python re-implementation of a virtual C++ function raises
a Python exception. If a virtual C++ function does not have a handler the
PyErr_Print()
function is called.
The handler is called after all tidying up has been completed, with the Python
Global Interpreter Lock (GIL) held and from the thread that raised the
exception. If the handler wants to change the execution path by, for example,
throwing a C++ exception, it must first release the GIL by calling
SIP_RELEASE_GIL()
. It must not call SIP_RELEASE_GIL()
if the
execution path is not changed.
The following variables are made available to the handwritten code:
- sipSimpleWrapper *sipPySelf
- This is the class instance containing the Python reimplementation.
- sip_gilstate_t sipGILState
- This is an opaque value that must be passed to
SIP_RELEASE_GIL()
in order to release the GIL prior to changing the execution path.
For example:
%VirtualErrorHandler my_handler
PyObject *exception, *value, *traceback;
PyErr_Fetch(&exception, &value, &traceback);
SIP_RELEASE_GIL(sipGILState);
throw my_exception(sipPySelf, exception, value, traceback);
%End