This has only been present for backward compatibility since 2006
and now has the value 0 so doesn't do anything, so don't use it
as an example of a flag in the docs.
If a "docstring" feature is present it will still override a Doxygen comment.
If the "autodoc" feature is also present, the combined "autodoc" and "docstring"
will override the Doxygen comment. If no "docstring" is present then the
"autodoc" feature will not be generated when there is a Doxygen comment.
This way the "autodoc" feature can be specified and used to provide documentation
for 'missing' Doxygen comments.
Closes#1635
pyabc.i for abstract base classes now supports versions of Python
prior to 3.3 by using the collection module for these older versions.
Python-3.3 and later continue to use the collections.abc module.
The -py3 option no longer has any effect on the %pythonabc feature.
Correct logic for suppressing static methods.
Previous logic was missing director disown methods.
Add changes file entry for -flatstaticmethod.
Closes#2137
The initial prototype shown in these examples has a `len` parameter
but that the rest of the example is as if that parameter isn't there
so remove it from the initial prototype.
Fixes https://sourceforge.net/p/swig/bugs/1289/
Both function annotations and variable annotations are turned on using the
"python:annotations" feature. Example:
%feature("python:annotations", "c");
struct V {
float val;
};
The generated code contains a variable annotation containing the C float type:
class V(object):
val: "float" = property(_example.V_val_get, _example.V_val_set)
...
Python 3.5 and earlier do not support variable annotations, so variable
annotations can be turned off with a "python:annotations:novar" feature flag.
Example turning on function annotations but not variable annotations globally:
%feature("python:annotations", "c");
%feature("python:annotations:novar");
or via the command line:
-features python:annotations=c,python:annotations:novar
Closes#1951
Python function annotations containing C/C++ types are no longer
generated when using the -py3 option. Function annotations support
has been moved to a feature to provide finer grained control.
It can be turned on globally by adding:
%feature("python:annotations", "c");
or by using the command line argument:
-features python:annotations=c
The implementation is designed to be expandable to support different
annotations implementations. Future implementations could implement
something like the following for generating pure Python types:
%feature("python:annotations", "python");
or typing module types to conform to PEP-484:
%feature("python:annotations", "typing");
Closes#1561
Issue #735
Global functions previously generated two definitions, eg:
def foo():
return _example.foo()
foo = _example.foo
The first definition is replaced by the second definition and so the second definition
is the one used when the method is actually called. Now just the first definition is
generated by default and if the -fastproxy command line option is used, just the second
definition is generated. The second definition is faster as it avoids the proxy Python
method as it calls the low-level C wrapper directly. Using both -fastproxy and -olddefs
command line options will restore the previously generated code as it will generate both
method definitions.
With this change, the wrappers for global C/C++ functions and C++ class methods now work
in the same way wrt to generating just a proxy method by default and control via
-fastproxy/-olddefs options.
Closes#639.
Only one import of the low-level C/C++ module from the pure Python module is
attempted now. Previously a second import of the low-level C/C++ module was attempted
after an ImportError occurred and was done to support 'split modules'. A 'split module' is
a configuration where the pure Python module is a module within a Python package and the
low-level C/C++ module is a global Python module. Now a 'split module' configuration is
no longer supported by default. This configuration can be supported with a simple
customization, such as:
%module(package="mypackage", moduleimport="import $module") foo
or if using -builtin:
%module(package="mypackage", moduleimport="from $module import *") foo
instead of
%module(package="mypackage") foo
See the updated Python chapter titled "Location of modules" in the documentation.
Closes#848#1343
There were only needed to support Python < 2.2, and we now require at
least Python 2.6.
Conflicts:
.travis.yml
Examples/test-suite/python/autodoc_runme.py
Source/Modules/python.cxx
This is a cherry-pick and merge from patch in #1261
The previous implementation failed with Python 3 and abstract base clases.
The new implementation replaces the Python 2 implementation using new.instancemethod with C API PyMethod_New to match the equivalent Python 3 implementation which uses PyInstanceMethod_New.
Closes#1310
Occurs when the types passed are incorrect. This change means
there is now consistency with non-overloaded function wrappers which have always
raised TypeError when the incorrect types are passed.
See issue #1293
Fixes seg fault when passing a Python string, containing invalid utf-8 content,
to a wstring or wchar * parameter. A TypeError is thrown instead, eg:
%include <std_wstring.i>
void instring(const std::wstring& s);
instring(b"h\xe9llooo") # Python
Change the base classes in the pyabc.i file to use the
collections.abc module instead of collections due to the deprecation
of the classes in the collections module in Python 3.7.
