mirror of https://github.com/swig/swig
Add support for Python variable annotations as a feature.
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
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@ -7,6 +7,37 @@ the issue number to the end of the URL: https://github.com/swig/swig/issues/
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Version 4.1.0 (in progress)
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===========================
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2022-03-02: geographika, wsfulton
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[Python] #1951 Add Python variable annotations support.
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Both function annotations and variable annotations are turned on using the
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"python:annotations" feature. Example:
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%feature("python:annotations", "c");
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struct V {
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float val;
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};
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The generated code contains a variable annotation containing the C float type:
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class V(object):
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val: "float" = property(_example.V_val_get, _example.V_val_set)
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...
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Python 3.5 and earlier do not support variable annotations, so variable
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annotations can be turned off with a "python:annotations:novar" feature flag.
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Example turning on function annotations but not variable annotations globally:
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%feature("python:annotations", "c");
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%feature("python:annotations:novar");
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or via the command line:
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-features python:annotations=c,python:annotations:novar
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*** POTENTIAL INCOMPATIBILITY ***
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2022-03-02: olly
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#891 Give error for typemap argument without a value. Previously
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SWIG segfaulted.
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@ -23,6 +54,8 @@ Version 4.1.0 (in progress)
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-features python:annotations=c
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Also see entry dated 2022-03-02, regarding variable annotations.
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*** POTENTIAL INCOMPATIBILITY ***
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2022-02-26: wsfulton
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@ -1478,7 +1478,7 @@
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</ul>
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<li><a href="Python.html#Python_python3support">Python 3 Support</a>
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<ul>
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<li><a href="Python.html#Python_annotations">Function annotations</a>
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<li><a href="Python.html#Python_annotations">Python function annotations and variable annotations</a>
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<ul>
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<li><a href="Python.html#Python_annotations_c">C/C++ annotation types</a>
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</ul>
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@ -133,7 +133,7 @@
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</ul>
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<li><a href="#Python_python3support">Python 3 Support</a>
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<ul>
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<li><a href="#Python_annotations">Function annotations</a>
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<li><a href="#Python_annotations">Python function annotations and variable annotations</a>
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<ul>
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<li><a href="#Python_annotations_c">C/C++ annotation types</a>
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</ul>
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@ -2536,7 +2536,7 @@ assert(issubclass(B.Derived, A.Base))
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</li>
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<li><p><a href="#Python_annotations">Python function annotations</a> are not supported.
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<li><p><a href="#Python_annotations">Python annotations</a> are not supported.
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</p>
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</li>
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@ -3998,7 +3998,7 @@ Also included in the table for comparison is using the <tt>-builtin</tt> option
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<p>
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Although the <tt>-fastproxy</tt> option results in faster code over the default, the generated proxy code is not as user-friendly
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as docstring/doxygen comments, <a href="#Python_annotations">Python function annotations</a> and functions with default values are not visible in the generated Python proxy class.
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as docstring/doxygen comments, <a href="#Python_annotations">Python annotations</a> and functions with default values are not visible in the generated Python proxy class.
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The <tt>-olddefs</tt> option can rectify this.
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</p>
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@ -6762,13 +6762,15 @@ The following are Python 3 new features that are currently supported by
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SWIG.
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</p>
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<H3><a name="Python_annotations">33.12.1 Function annotations</a></H3>
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<H3><a name="Python_annotations">33.12.1 Python function annotations and variable annotations</a></H3>
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<p>
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Python 3 supports function annotations as defined in
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<a href="https://www.python.org/dev/peps/pep-3107/">PEP 3107</a>.
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Note that there is currently no annotations support for the <tt>-builtin</tt> nor
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Python 3.6 and later additionally support variable annotations as defined in
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<a href="https://www.python.org/dev/peps/pep-526/">PEP 526</a>.
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Note that currently there is no annotations support in SWIG for the <tt>-builtin</tt> nor
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the <tt>-fastproxy</tt> option.
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Annotations are added via the <tt>python:annotations</tt>
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<a href="Customization.html#Customization_features">%feature directives</a>.
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@ -6779,7 +6781,7 @@ SWIG currently supports one type of function annotation.
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<p>
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The <tt>%feature("python:annotations", "c")</tt> directive generates function annotations
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The <tt>%feature("python:annotations", "c")</tt> directive generates annotations
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containing C/C++ types. For example:
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</p>
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@ -6789,16 +6791,16 @@ int *global_ints(int &ri);
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</pre></div>
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<p>
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The generated code then contains function annotations containing the C types:
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The generated code then contains function annotations containing the C++ types:
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</p>
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<div class="targetlang"><pre>
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def global_ints(ri: "int &") -> "int *":
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return _python_annotations_c.global_ints(ri)
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return _example.global_ints(ri)
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</pre></div>
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<p>
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There are some limitations with annotations support, for example, overloaded functions use
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There are some limitations with function annotations support, for example, overloaded functions use
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<tt>*args</tt> or <tt>**kwargs</tt> when keyword arguments are enabled.
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The parameter names and types are then not shown. For example, with input:
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</p>
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@ -6815,13 +6817,65 @@ Only the return type is annotated.
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<div class="targetlang"><pre>
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def global_overloaded(*args) -> "int *":
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return _python_annotations_c.global_overloaded(*args)
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return _example.global_overloaded(*args)
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</pre></div>
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<p>
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Below is an example demonstrating variable annotations.
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</p>
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<div class="code"><pre>
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%feature("python:annotations", "c");
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struct V {
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float val;
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};
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</pre></div>
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<p>
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The generated code contains a variable annotation containing the C <tt>float</tt> type:
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</p>
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<div class="targetlang"><pre>
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class V(object):
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val: "float" = property(_example.V_val_get, _example.V_val_set)
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...
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</pre></div>
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<p>
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Variable annotations are only supported from Python 3.6. If you need to support earlier versions of Python, you'll need to turn variable annotations off via the <tt>python:annotations:novar</tt> feature flag.
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It is quite easy to support function annotations but turn off variable annotations. The next example shows how to do this for all variables.
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</p>
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<div class="code"><pre>
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%feature("python:annotations", "c"); // Turn on function annotations and variable annotations globally
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%feature("python:annotations:novar"); // Turn off variable annotations globally
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struct V {
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float val;
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void vv(float *v) const;
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};
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</pre></div>
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<p>
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The resulting code will work with versions older than Python 3.6 as the variable annotations are turned off:
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</p>
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<div class="targetlang"><pre>
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class V(object):
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val = property(_example.V_val_get, _example.V_val_set)
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def vv(self, v: "float *") -> "void":
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return _example.V_vv(self, v)
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...
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</pre></div>
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<p>
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<b>Compatibility Note:</b> SWIG-4.1.0 changed the way that function annotations are generated.
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Prior versions required the <tt>-py3</tt> option which enabled function annotation support
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Prior versions required the <tt>-py3</tt> option to generate function annotation support
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containing C/C++ types instead of supporting <tt>%feature("python:annotations", "c")</tt>.
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Variable annotations were also added in SWIG-4.1.0.
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</p>
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<H3><a name="Python_nn75">33.12.2 Buffer interface</a></H3>
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@ -49,6 +49,7 @@ CPP_TEST_CASES += \
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primitive_types \
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python_abstractbase \
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python_annotations_c \
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python_annotations_variable_c \
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python_append \
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python_builtin \
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python_destructor_exception \
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@ -0,0 +1,24 @@
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import sys
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# Variable annotations for properties is only supported in python-3.6 and later (PEP 526)
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if sys.version_info[0:2] >= (3, 6):
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from python_annotations_variable_c import *
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# No SWIG __annotations__ support with -builtin or -fastproxy
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annotations_supported = not(is_python_builtin() or is_python_fastproxy())
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if annotations_supported:
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ts = TemplateShort()
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anno = ts.__annotations__
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if anno != {'member_variable': 'int'}:
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raise RuntimeError("annotations mismatch: {}".format(anno))
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ts = StructWithVar()
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anno = ts.__annotations__
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if anno != {'member_variable': 'int'}:
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raise RuntimeError("annotations mismatch: {}".format(anno))
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ts = StructWithVarNotAnnotated()
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if getattr(ts, "__annotations__", None) != None:
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anno = ts.__annotations__
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raise RuntimeError("annotations mismatch: {}".format(anno))
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@ -0,0 +1,44 @@
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%module python_annotations_variable_c
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// Tests Python variable annotations, containing C/C++ types, in C++ member variables wrappers.
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// Member variables are wrapped using Python properties.
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// This is in a separate test to python_annotations_c.i (which tests function annotations) so that runtime testing
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// of variable annotations can be done which requires Python 3.6 and later. A syntax error occurs in earlier
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// versions of Python when importing code containing variable annotations.
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%feature("python:annotations", "c");
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%feature("python:annotations:novar") member_variable_not_annotated;
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%inline %{
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namespace Space {
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template<class T>
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struct Template {
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int member_variable;
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int member_variable_not_annotated;
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};
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struct StructWithVar{
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int member_variable;
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};
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struct StructWithVarNotAnnotated {
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int member_variable_not_annotated;
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};
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short global_variable;
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}
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%}
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%template(TemplateShort) Space::Template<short>;
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%inline %{
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#ifdef SWIGPYTHON_BUILTIN
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int is_python_builtin() { return 1; }
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#else
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int is_python_builtin() { return 0; }
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#endif
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#if defined SWIGPYTHON_FASTPROXY
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int is_python_fastproxy() { return 1; }
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#else
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int is_python_fastproxy() { return 0; }
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#endif
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%}
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@ -2395,20 +2395,20 @@ public:
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}
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/* ------------------------------------------------------------
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* returnPropertyAnnotation()
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* variableAnnotation()
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*
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* Helper function for constructing a property annotation
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* return a empty string for Python 2.x
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* Helper function for constructing a variable annotation
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* ------------------------------------------------------------ */
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String *returnPropertyAnnotation(Node *n) {
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String *ret = 0;
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ret = Getattr(n, "type");
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if (ret) {
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ret = SwigType_str(ret, 0);
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}
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return (ret && py3) ? NewStringf(": \"%s\"", ret)
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: NewString("");
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String *variableAnnotation(Node *n) {
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String *type = Getattr(n, "type");
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if (type)
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type = SwigType_str(type, 0);
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bool anno = Equal(Getattr(n, "feature:python:annotations"), "c") ? true : false;
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anno = GetFlag(n, "feature:python:annotations:novar") ? false : anno;
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String *annotation = (type && anno) ? NewStringf(": \"%s\"", type) : NewString("");
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Delete(type);
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return annotation;
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}
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/* ------------------------------------------------------------
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@ -5059,12 +5059,14 @@ public:
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String *setname = Swig_name_set(NSPACE_TODO, mname);
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String *getname = Swig_name_get(NSPACE_TODO, mname);
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int assignable = is_assignable(n);
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Printv(f_shadow, tab4, symname, returnPropertyAnnotation(n), " = property(", module, ".", getname, NIL);
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String *variable_annotation = variableAnnotation(n);
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Printv(f_shadow, tab4, symname, variable_annotation, " = property(", module, ".", getname, NIL);
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if (assignable)
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Printv(f_shadow, ", ", module, ".", setname, NIL);
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if (have_docstring(n))
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Printv(f_shadow, ", doc=", docstring(n, AUTODOC_VAR, tab4), NIL);
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Printv(f_shadow, ")\n", NIL);
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Delete(variable_annotation);
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Delete(mname);
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Delete(setname);
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Delete(getname);
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