add some docs
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# Python Class
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TODO
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## Define new class
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To define python custom class, rust struct needs to be annotated
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with `#[py::class]` attribute.
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```rust
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extern crate pyo3;
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use pyo3::*;
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#[py::class]
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struct MyClass {
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num: i32,
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debug: bool,
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token: PyToken,
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}
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```
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The above example generates the following implementations for `MyClass` struct
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```ignore
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impl PyTypeInfo for MyClass { ... }
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impl PyTypeObject for MyClass { ... }
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impl PyObjectWithToken for MyClass { ... }
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impl ToPyObject for MyClass { ... }
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impl IntoPyObject for MyClass { ... }
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impl ToPyPointer for MyClass { ... }
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```
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Following implementations `PyObjectWithToken`, `ToPyObject`, `IntoPyObject`, `ToPyPointer`
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are generated only if struct contains `PyToken` attribute.
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`PyToken` instance available only in `py.init` method.
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TODO - continue
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## Constructor
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By default it is not possible to create instance of custom class from python code.
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To declare constructor, you need to define class method and annotate it with `#[new]`
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attribute. Only python `__new__` method can be specified, `__init__` is not available.
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```rust
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#[py::method]
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impl MyClass {
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#[new]
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fn __new__(cls: &PyType, ...) -> PyResult<Py<MyClass>> {
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cls.tokne().init(|token| {
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MyClass {
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num: 10,
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debug: False,
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token: token
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}
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})
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}
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}
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```
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Some rules of `new` method
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* If no method marked with `#[new]` is declared, object instances can only be created
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from Rust, but not from Python.
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* The first parameter is the type object of the class to create.
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This may be the type object of a derived class declared in Python.
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* The first parameter implicitly has type `&PyType`.
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* For details on `parameter-list`, see the documentation of `Method arguments` section.
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* The return type must be `PyResult<T>` for some `T` that implements `IntoPyObject`.
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Usually, `T` will be `MyType`.
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## Object properties
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Instance's `__dict__` attributes is not supported by pyo3 library. But it is
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possible to specify instance get/set descriptors. Descriptor methods can be defined in
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`#[methods]` `impl` block only and has to be annotated with `#[getter]` or `[setter]`
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attributes. i.e.
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```rust
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#[methods]
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impl MyClass {
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#[getter]
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fn num(&self) -> PyResult<i32> {
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Ok(self.num)
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}
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}
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```
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Getter or setter function's name is used as property name by default. There are several
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ways how to override name.
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If function name starts with `get_` or `set_` for getter or setter respectively.
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Descriptor name becomes function name with prefix removed. This is useful in case os
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rust's special keywords like `type`.
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```rust
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#[methods]
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impl MyClass {
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#[getter]
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fn get_num(&self) -> PyResult<i32> {
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Ok(self.num)
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}
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#[setter]
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fn set_num(&mut self, value: i32) -> PyResult<()> {
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self.num = value
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}
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}
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```
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In this case property `num` is defined. And it is available from python code as `self.num`.
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Also both `#[getter]` and `#[setter]` attributes accepts one parameter.
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If parameter is specified, it is used and property name. i.e.
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```rust
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#[methods]
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impl MyClass {
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#[getter(number)]
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fn num(&self) -> PyResult<i32> {
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Ok(self.num)
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}
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#[setter(number)]
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fn set_num(&mut self, value: i32) -> PyResult<()> {
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self.num = value
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}
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}
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```
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In this case property `number` is defined. And it is available from python code as `self.number`.
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## Instance methods
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To define python compatible method, `impl` block for struct has to be annotated
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with `#[py::methods]` attribute. `pyo3` library generates python compatible
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wrappers for all functions in this block with some variations, like descriptors,
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class method static methods, etc.
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```rust
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#[methods]
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impl MyClass {
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fn method1(&self) -> PyResult<i32> {
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Ok(10)
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}
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fn set_method(&mut self, value: i32) -> PyResult<()> {
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self.num = value
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Ok(())
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}
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}
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```
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Calls to this methods protected by `GIL`, `&self` or `&mut self` can be used.
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The return type must be `PyResult<T>` for some `T` that implements `IntoPyObject`.
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`Python` parameter can be spefieid as part of method signature, in this case `py` argument
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get injected by method wrapper. i.e
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```rust
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#[methods]
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impl MyClass {
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fn method2(&self, py: Python) -> PyResult<i32> {
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Ok(10)
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}
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}
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```
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From python prespective `method2`, in above example, does not accept any arguments.
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## Class methods
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To specify class method for custom class, method needs to be annotated
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with`#[classmethod]` attribute.
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```rust
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#[methods]
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impl MyClass {
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#[classmethod]
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fn cls_method(cls: &PyType) -> PyResult<i32> {
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Ok(10)
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}
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}
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Declares a class method callable from Python.
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* The first parameter is the type object of the class on which the method is called.
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This may be the type object of a derived class.
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* The first parameter implicitly has type `&PyType`.
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* For details on `parameter-list`, see the documentation of `Method arguments` section.
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* The return type must be `PyResult<T>` for some `T` that implements `IntoPyObject`.
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## Static methods
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To specify class method for custom class, method needs to be annotated
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with `#[staticmethod]` attribute. The return type must be `PyResult<T>`
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for some `T` that implements `IntoPyObject`.
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```rust
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#[methods]
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impl MyClass {
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#[staticmethod]
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fn static_method(param1: i32, param2: &str) -> PyResult<i32> {
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Ok(10)
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}
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}
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## Method arguments
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## Class customizations
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### Callable object
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To specify custom `__call__` method for custom class, call method needs to be annotated
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with `#[call]` attribute. Arguments of the method are speficied same as for instance method.
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```rust
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#[methods]
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impl MyClass {
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#[call]
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#[args(args="*")]
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fn __call__(&self, args: &PyTuple) -> PyResult<i32> {
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println!("MyCLS has been called");
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Ok(self.num)
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}
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}
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