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    You are at:Home»Technology»Cppyy: Automatic Python-C++ Bindings
    Technology

    Cppyy: Automatic Python-C++ Bindings

    TechAiVerseBy TechAiVerseJuly 16, 2025No Comments3 Mins Read1 Views
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    Cppyy: Automatic Python-C++ Bindings

    cppyy is an automatic, run-time, Python-C++ bindings generator, for calling
    C++ from Python and Python from C++.
    Run-time generation enables detailed specialization for higher performance,
    lazy loading for reduced memory use in large scale projects, Python-side
    cross-inheritance and callbacks for working with C++ frameworks, run-time
    template instantiation, automatic object downcasting, exception mapping, and
    interactive exploration of C++ libraries.
    cppyy delivers this without any language extensions, intermediate languages,
    or the need for boiler-plate hand-written code.
    For design and performance, see this PyHPC’16 paper, albeit that the
    CPython/cppyy performance has been vastly improved since, as well as this
    CAAS presentation.
    For a quick teaser, see Jason Turner’s introduction video.

    cppyy is based on Cling, the C++ interpreter, to match Python’s dynamism,
    interactivity, and run-time behavior.
    Consider this session, showing dynamic, interactive, mixing of C++ and Python
    features (there are more examples throughout the documentation and in the
    tutorial):

    >>> import cppyy
    >>> cppyy.cppdef("""
    ... class MyClass {
    ... public:
    ...     MyClass(int i) : m_data(i) {}
    ...     virtual ~MyClass() {}
    ...     virtual int add_int(int i) { return m_data + i; }
    ...     int m_data;
    ... };""")
    True
    >>> from cppyy.gbl import MyClass
    >>> m = MyClass(42)
    >>> cppyy.cppdef("""
    ... void say_hello(MyClass* m) {
    ...     std::cout << "Hello, the number is: " << m->m_data << std::endl;
    ... }""")
    True
    >>> MyClass.say_hello = cppyy.gbl.say_hello
    >>> m.say_hello()
    Hello, the number is: 42
    >>> m.m_data = 13
    >>> m.say_hello()
    Hello, the number is: 13
    >>> class PyMyClass(MyClass):
    ...     def add_int(self, i):  # python side override (CPython only)
    ...         return self.m_data + 2*i
    ...
    >>> cppyy.cppdef("int callback(MyClass* m, int i) { return m->add_int(i); }")
    True
    >>> cppyy.gbl.callback(m, 2)             # calls C++ add_int
    15
    >>> cppyy.gbl.callback(PyMyClass(1), 2)  # calls Python-side override
    5
    >>>
    

    With a modern C++ compiler having its back, cppyy is future-proof.
    Consider the following session using boost::any, a capsule-type that
    allows for heterogeneous containers in C++.
    The Boost library is well known for its no holds barred use of modern C++
    and heavy use of templates:

    >>> import cppyy
    >>> cppyy.include('boost/any.hpp')       # assumes you have boost installed
    >>> from cppyy.gbl import std, boost
    >>> val = boost.any()                    # the capsule
    >>> val.__assign__(std.vector[int]())    # assign it a std::vector
    
    >>> val.type() == cppyy.typeid(std.vector[int])    # verify type
    True
    >>> extract = boost.any_cast[int](std.move(val))   # wrong cast
    Traceback (most recent call last):
      File "", line 1, in 
    cppyy.gbl.boost.bad_any_cast: Could not instantiate any_cast:
      int boost::any_cast(boost::any&& operand) =>
        wrapexcept: boost::bad_any_cast: failed conversion using boost::any_cast
    >>> extract = boost.any_cast[std.vector[int]](val) # correct cast
    >>> type(extract) is std.vector[int]
    True
    >>> extract += xrange(100)
    >>> len(extract)
    100
    >>> val.__assign__(std.move(extract))    # move forced
    
    >>> len(extract)                         # now empty (or invalid)
    0
    >>> extract = boost.any_cast[std.vector[int]](val)
    >>> list(extract)
    [0, 1, 2, 3, 4, 5, 6, ..., 97, 98, 99]
    >>>
    

    Of course, there is no reason to use Boost from Python (in fact, this example
    calls out for pythonizations), but it shows that
    cppyy seamlessly supports many advanced C++ features.

    cppyy is available for both CPython (v2 and v3) and PyPy, reaching
    C++-like performance with the latter.
    It makes judicious use of precompiled headers, dynamic loading, and lazy
    instantiation, to support C++ programs consisting of millions of lines of
    code and many thousands of classes.
    cppyy minimizes dependencies to allow its use in distributed, heterogeneous,
    development environments.

    Bugs and feedback

    Please report bugs or requests for improvement on the issue tracker.

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