--- icon: dot label: 'Bind native function' order: 60 --- pkpy allows to wrap a function pointer as a python function or method that can be called in python code. This function pointer has the following signature: ```cpp typedef PyObject* (*NativeFuncC)(VM*, ArgsView); ``` + The first argument is the pointer of `VM` instance. + The second argument is an array-like object indicates the arguments list. You can use `[]` operator to get the element. + The return value is a `PyObject*`, which should not be `nullptr`. If there is no return value, return `vm->None`. !!! Native functions do not support keyword arguments. !!! ### Bind a function Assume you have a cpp function `bool equals(int a, int b)`. ```cpp bool equals(int a, int b){ return a == b; } ``` You can bind it into `test.equals` by using `vm->bind_func`: ```cpp PyObject* obj = vm->new_module("test"); // v [function name] vm->bind_func<2>(obj, "equals", [](VM* vm, ArgsView args){ // ^ argument count int a = CAST(int, args[0]); int b = CAST(int, args[1]); bool result = equals(a, b); return VAR(result); }); ``` + The first argument is the target object to bind. It can be any python object with an instance dict, such as a module, a class, or an instance. + The second argument is the function name. + The third argument is the function pointer. We often use lambda expression to wrap it. A non-capturing lambda expression can be converted to a function pointer. The template argument `ARGC` is the argument count of the function. If the function is variadic, use `-1` as the argument count. The interpreter will ensure `args.size() == ARGC` and throws `TypeError` if not. For variadic functions, you need to check `args.size()` manually. If you want to bind a function into `builtins` module, use `vm->bind_builtin_func` instead. ### Bind a constructor The constructor of a class is a special function that returns an instance of the class. It corresponds to the `__new__` magic method in python (not `__init__`). ```cpp vm->bind_constructor<3>(type, [](VM* vm, ArgsView args){ float x = CAST_F(args[1]); float y = CAST_F(args[2]); return VAR(Vec2(x, y)); }); ``` ### Bind a method The `vm->bind_method` usage is almost the same as `vm->bind_func`. The only difference is that `ARGC` in `vm->bind_method` does not include the `self` argument. ```cpp vm->bind_method<1>("int", "equals", [](VM* vm, ArgsView args){ int self = CAST(int, args[0]); int other = CAST(int, args[1]); return VAR(self == other); }); ``` ### Bind a magic method For some magic methods, we provide specialized binding function. They do not take universal function pointer as argument. You need to provide the detailed `Type` object and the corresponding function pointer. ```cpp PyObject* __add__(PyObject* lhs, PyObject* rhs){ int a = CAST(int, lhs); int b = CAST(int, rhs); return VAR(a + b); } Type type = vm->tp_int; vm->bind__add__(type, __add__); ``` This specialized binding function has optimizations and result in better performance when calling from python code. For example, `vm->bind__add__` is preferred over `vm->bind_method<1>(type, "__add__", ...)`. ### Bind a property a property is a python's `property` that attached to a type instance with a getter and an optional setter. It is a data descriptor. A property redirects attribute access to specific functions. You can use `@property` to create python property or use `vm->property` to create native property. ```cpp struct Point { PY_CLASS(Point, test, Point); int x; int y; Point(int x, int y) : x(x), y(y) {} static void _register(VM *vm, auto mod, auto type) { vm->bind_constructor<3>(type, [](VM *vm, auto args) { auto x = CAST(i64, args[1]); auto y = CAST(i64, args[2]); return VAR_T(Point, x, y); }); // getter and setter of property `x` type->attr().set("x", vm->property([](VM* vm, ArgsView args){ Point& self = CAST(Point&, args[0]); return VAR(self.x); }, [](VM* vm, ArgsView args){ Point& self = CAST(Point&, args[0]); self.x = CAST(int, args[1]); return vm->None; })); } }; ```