Also fixes: "SystemError: error return without exception set" during error checking
when using just -builtin and the incorrect number of arguments is passed to a class
method expecting zero arguments.
Closes#256Closes#382
Use "compact" arguments form for the function if "default" typemap is defined
for any of its arguments to allow omitting this argument when calling it from
Python.
Closes#377.
Accept not only manifest pointer types (such as e.g. "void *") but also types
that are typedefs for pointer types when checking whether C++ value of 0 must
be represented as 0 or None in Python.
Closes#365, #376.
* amaeldoe-master:
Add python runtime test for dynamically added attributes
Attribute of SWIG wrapped classes instances were overwritten on __init__()
Fix SwigPyObject->dict memory leak
Make __dict__ accessible for Python builtin classes
Attribute set within instance of a SWIG Python wrapped class are
stored in SwigPyObject->dict, which tp_dictoffset slot is pointing to.
However, SWIG wrapped classes did not have a __dict__ attribute.
Inheriting subclasses did not get the attribute either because the
SWIG wrapped classes initialize the tp_dictoffset slot:
From http://bugs.python.org/issue16272:
"If a type defines a nonzero tp_dictoffset, that type is responsible for
defining a `__dict__` slot as part of the tp_getset structures. Failure to
do so will result in the dict being inaccessible from Python via
`obj.__dict__` from instances of the type or subtypes."
Provide a SwigPyObject_get___dict__() function to retrieve the dict
attribute or create it when it does not exist yet (it is normally
created when setting attribute set), and a PyGetSetDef entry pointing
to this function.
Setting properties on classic classes was broken in swig-3.0.3 by attempting to use __setattr__. This regression is fixed now by using __dict__ again when using -classic.
Fixes patch #232.
* ptomulik-fix/py-object-const:
constant_directive_runme.py and classic classes
additional fixes to %constant directive
make %constant directive to work with structs/classes
Default values are no longer generated as Python code by default.
They must be explicitly turned on using the "python:defaultargs" feature.
Closes#294Closes#296
The problems in these two issues when "python:defaultargs" is turned
on still need to be fixed and should be addressed in separate patches.
The important thing is the default code generation is now fixed.
* vadz/py-args:
Allow using enum elements as default values for Python functions.
Don't always use "*args" for all Python wrapper functions.
No real changes, just make PYTHON::check_kwargs() const.
Refactor: move makeParameterName() to common Language base class.
Remove long line wrapping from Python parameter list generation code.
Enum values are just (integer) constants in Python and so can be used as the
function default values just as well as literal numbers, account for this when
checking whether function parameters can be represented in Python.
Also rename is_primitive_defaultargs() to is_representable_as_pyargs() to
describe better what this function does.
Due to what seems like a bug introduced during Python 3 support merge, all the
generated Python functions used the general "*args" signature instead of using
the named parameters when possible.
This happened due to is_primitive_defaultargs() always returning false for the
functions without any default arguments as "value" passed to convertValue()
was NULL in this case and convertValue() always returns false for NULL.
Fix this by checking for value being non-NULL before calling convertValue().
Doing this exposed several problems with the handling of unnamed, duplicate
(happens for parameters called INOUT, for example) or clashing with keywords
parameter names, so the code dealing with them had to be fixed too. Basically
just use makeParameterName() consistently everywhere.
This doesn't play well with PEP8 checks which imposes very strict continuation
line indentation rules which need to be _visually_ aligned, i.e. the subsequent
lines must be indented by the position of the opening bracket in the function
declaration line, but the code generating the parameter lists doesn't have
this information and so it's impossible to do it while avoiding either E128 or
E123 ("continuation line {under,over}-indented for visual indent" respectively)
error from pep8.
Moreover, the wrapping code didn't work correctly anyhow as it only took into
account the length of the parameter list itself and not the total line length,
which should include the function name as well.
So just disable wrapping entirely, long lines shouldn't be a problem anyhow in
auto-generated code.
This changeset resolves several issues related to python imports.
For example, it's possible now to import modules having same module
names, but belonging to different packages.
From the user's viewpoint, this patch gives a little bit more control on
import directives generated by swig. The user may choose to use relative
or absolute imports (docs are provided in separate PR).
Some details:
- we (still) generate import directives in form 'import a.b.c' which
corresponds to absolute imports in python3 and (the only available)
ambiguous one in python2.
- added -relativeimport option to use explicit relative import syntax
(python3),
Tests are under Examples/python, these are in fact regression tests but
with the current swig testing framework it seems to be impossible to put
appropriate tests under test-suite.
Closes#7
