commit
8744ee6e48
257
src/pycell.rs
257
src/pycell.rs
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@ -1,6 +1,144 @@
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//! PyO3's interior mutability primitive.
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//!
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//! For more information see the [guide](https://pyo3.rs/latest/class.html?highlight=pycell#pycell-and-interior-mutability "PyCell and interior mutability")
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//! Rust has strict aliasing rules - you can either have any number of immutable (shared) references or one mutable
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//! reference. Python's ownership model is the complete opposite of that - any Python object
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//! can be referenced any number of times, and mutation is allowed from any reference.
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//!
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//! PyO3 deals with these differences by employing the [Interior Mutability]
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//! pattern. This requires that PyO3 enforces the borrowing rules and it has two mechanisms for
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//! doing so:
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//! - Statically it can enforce threadsafe access with the [`Python<'py>`](crate::Python) token.
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//! All Rust code holding that token, or anything derived from it, can assume that they have
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//! safe access to the Python interpreter's state. For this reason all the native Python objects
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//! can be mutated through shared references.
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//! - However, methods and functions in Rust usually *do* need `&mut` references. While PyO3 can
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//! use the [`Python<'py>`](crate::Python) token to guarantee thread-safe access to them, it cannot
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//! statically guarantee uniqueness of `&mut` references. As such those references have to be tracked
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//! dynamically at runtime, using [`PyCell`] and the other types defined in this module. This works
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//! similar to std's [`RefCell`](std::cell::RefCell) type.
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//!
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//! # When *not* to use PyCell
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//!
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//! Usually you can use `&mut` references as method and function receivers and arguments, and you
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//! won't need to use [`PyCell`] directly:
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//!
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//! ```rust
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//! use pyo3::prelude::*;
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//!
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//! #[pyclass]
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//! struct Number {
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//! inner: u32,
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//! }
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//!
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//! #[pymethods]
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//! impl Number {
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//! fn increment(&mut self) {
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//! self.inner += 1;
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//! }
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//! }
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//! ```
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//!
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//! The [`#[pymethods]`](crate::pymethods) proc macro will generate this wrapper function (and more),
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//! using [`PyCell`] under the hood:
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//!
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//! ```ignore
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//! // This function is exported to Python.
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//! unsafe extern "C" fn __wrap(slf: *mut PyObject, _args: *mut PyObject) -> *mut PyObject {
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//! pyo3::callback::handle_panic(|py| {
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//! let cell: &PyCell<Number> = py.from_borrowed_ptr(slf);
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//! let mut _ref: PyRefMut<Number> = cell.try_borrow_mut()?;
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//! let slf: &mut Number = &mut _ref;
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//! pyo3::callback::convert(py, Number::increment(slf))
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//! })
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//! }
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//! ```
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//!
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//! # When to use PyCell
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//! ## Using pyclasses from Rust
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//!
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//! However, we *do* need [`PyCell`] if we want to call its methods from Rust:
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//! ```rust
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//! # use pyo3::prelude::*;
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//! #
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//! # #[pyclass]
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//! # struct Number {
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//! # inner: u32,
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//! # }
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//! #
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//! # #[pymethods]
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//! # impl Number {
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//! # fn increment(&mut self) {
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//! # self.inner += 1;
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//! # }
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//! # }
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//! # fn main() -> PyResult<()> {
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//! Python::with_gil(|py| {
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//! let n = Py::new(py, Number { inner: 0 })?;
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//!
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//! // We borrow the guard and then dereference
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//! // it to get a mutable reference to Number
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//! let mut guard: PyRefMut<'_, Number> = n.as_ref(py).borrow_mut();
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//! let n_mutable: &mut Number = &mut *guard;
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//!
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//! n_mutable.increment();
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//!
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//! // To avoid panics we must dispose of the
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//! // `PyRefMut` before borrowing again.
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//! drop(guard);
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//!
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//! let n_immutable : &Number = &n.as_ref(py).borrow();
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//! assert_eq!(n_immutable.inner, 1);
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//!
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//! Ok(())
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//! })
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//! # }
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//! ```
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//! ## Dealing with possibly overlapping mutable references
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//!
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//! It is also necessary to use [`PyCell`] if you can receive mutable arguments that may overlap.
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//! Suppose the following function that swaps the values of two `Number`s:
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//! ```
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//! # use pyo3::prelude::*;
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//! # #[pyclass]
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//! # pub struct Number {
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//! # inner: u32,
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//! # }
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//! #[pyfunction]
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//! fn swap_numbers(a: &mut Number, b: &mut Number) {
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//! std::mem::swap(&mut a.inner, &mut b.inner);
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//! }
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//! ```
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//! When users pass in the same `Number` as both arguments, one of the mutable borrows will
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//! fail and raise a `RuntimeError`:
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//! ```text
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//! >>> a = Number()
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//! >>> swap_numbers(a, a)
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//! Traceback (most recent call last):
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//! File "<stdin>", line 1, in <module>
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//! RuntimeError: Already borrowed
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//! ```
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//!
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//! It is better to write that function like this:
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//! ```
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//! # use pyo3::prelude::*;
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//! # #[pyclass]
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//! # pub struct Number {
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//! # inner: u32,
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//! # }
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//! #[pyfunction]
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//! fn swap_numbers(a: &PyCell<Number>, b: &PyCell<Number>) {
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//! // Check that the pointers are unequal
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//! if a.as_ref() != b.as_ref() {
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//! std::mem::swap(&mut a.borrow_mut().inner, &mut b.borrow_mut().inner);
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//! } else {
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//! // Do nothing - they are the same object, so don't need swapping.
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//! }
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//! }
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//! ```
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//! See the [guide] for more information.
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//!
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//! [guide]: https://pyo3.rs/latest/class.html#pycell-and-interior-mutability "PyCell and interior mutability"
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//! [Interior Mutability]: https://doc.rust-lang.org/book/ch15-05-interior-mutability.html "RefCell<T> and the Interior Mutability Pattern - The Rust Programming Language"
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use crate::exceptions::PyRuntimeError;
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use crate::pyclass::PyClass;
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unsafe impl<T, U> PyLayout<T> for PyCellBase<U> where U: PySizedLayout<T> {}
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/// `PyCell` is the container type for [`PyClass`](../pyclass/trait.PyClass.html) values.
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/// A container type for (mutably) accessing [`PyClass`] values
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///
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/// From the Python side, `PyCell<T>` is the concrete layout of `T: PyClass` in the Python heap,
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/// which means we can convert `*const PyClass<T>` to `*mut ffi::PyObject`.
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///
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/// From the Rust side, `PyCell<T>` is the mutable container of `T`.
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/// Since `PyCell<T: PyClass>` is always on the Python heap, we don't have the ownership of it.
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/// Thus, to mutate the data behind `&PyCell<T>` safely, we employ the
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/// [Interior Mutability Pattern](https://doc.rust-lang.org/book/ch15-05-interior-mutability.html)
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/// like [std::cell::RefCell](https://doc.rust-lang.org/std/cell/struct.RefCell.html).
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///
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/// `PyCell` implements `Deref<Target = PyAny>`, so you can also call methods from `PyAny`
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/// when you have a `PyCell<T>`.
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/// `PyCell` autodereferences to [`PyAny`], so you can call `PyAny`'s methods on a `PyCell<T>`.
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///
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/// # Examples
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///
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/// In most cases, `PyCell` is hidden behind `#[pymethods]`.
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/// However, you can construct a `&PyCell` directly to test your pyclass in Rust code.
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/// This example demonstrates getting a mutable reference of the contained `PyClass`.
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/// ```rust
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/// use pyo3::prelude::*;
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///
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/// ```
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/// # use pyo3::prelude::*;
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/// #[pyclass]
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/// struct Book {
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/// #[pyo3(get)]
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/// name: &'static str,
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/// author: &'static str,
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/// }
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/// let book = Book {
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/// name: "The Man in the High Castle",
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/// author: "Philip Kindred Dick",
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/// };
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/// Python::with_gil(|py| {
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/// let book_cell = PyCell::new(py, book).unwrap();
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/// // `&PyCell` implements `ToPyObject`, so you can use it in a Python snippet
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/// pyo3::py_run!(py, book_cell, "assert book_cell.name[-6:] == 'Castle'");
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/// });
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/// ```
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/// You can use `slf: &PyCell<Self>` as an alternative `self` receiver of `#[pymethod]`,
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/// though you'll rarely need it.
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/// ```
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/// # use pyo3::prelude::*;
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/// use std::collections::HashMap;
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/// #[pyclass]
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/// #[derive(Default)]
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/// struct Counter {
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/// counter: HashMap<String, usize>
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/// struct Number {
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/// inner: u32,
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/// }
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///
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/// #[pymethods]
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/// impl Counter {
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/// // You can use &mut self here, but now we use &PyCell for demonstration
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/// fn increment(slf: &PyCell<Self>, name: String) -> PyResult<usize> {
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/// let mut slf_mut = slf.try_borrow_mut()?;
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/// // Now a mutable reference exists so we cannot get another one
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/// assert!(slf.try_borrow().is_err());
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/// assert!(slf.try_borrow_mut().is_err());
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/// let counter = slf_mut.counter.entry(name).or_insert(0);
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/// *counter += 1;
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/// Ok(*counter)
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/// impl Number {
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/// fn increment(&mut self) {
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/// self.inner += 1;
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/// }
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/// }
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/// # Python::with_gil(|py| {
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/// # let counter = PyCell::new(py, Counter::default()).unwrap();
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/// # pyo3::py_run!(py, counter, "assert counter.increment('cat') == 1");
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/// # });
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///
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/// # fn main() -> PyResult<()> {
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/// Python::with_gil(|py| {
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/// let n = PyCell::new(py, Number { inner: 0 })?;
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///
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/// let n_mutable: &mut Number = &mut n.borrow_mut();
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/// n_mutable.increment();
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///
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/// Ok(())
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/// })
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/// # }
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/// ```
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/// For more information on how, when and why (not) to use `PyCell` please see the
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/// [module-level documentation](self).
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#[repr(C)]
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pub struct PyCell<T: PyClass> {
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ob_base: <T::BaseType as PyClassBaseType>::LayoutAsBase,
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@ -195,8 +303,7 @@ impl<T: PyClass> PyCell<T> {
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/// Makes a new `PyCell` on the Python heap and return the reference to it.
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///
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/// In cases where the value in the cell does not need to be accessed immediately after
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/// creation, consider [`Py::new`](../instance/struct.Py.html#method.new) as a more efficient
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/// alternative.
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/// creation, consider [`Py::new`](crate::Py::new) as a more efficient alternative.
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pub fn new(py: Python, value: impl Into<PyClassInitializer<T>>) -> PyResult<&Self> {
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unsafe {
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let initializer = value.into();
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|
@ -219,7 +326,7 @@ impl<T: PyClass> PyCell<T> {
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///
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/// # Panics
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///
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/// Panics if the value is currently mutably borrowed. For a non-panicking variant, use
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/// Panics if the value is currently borrowed. For a non-panicking variant, use
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/// [`try_borrow_mut`](#method.try_borrow_mut).
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||||
pub fn borrow_mut(&self) -> PyRefMut<'_, T> {
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self.try_borrow_mut().expect("Already borrowed")
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|
@ -236,6 +343,7 @@ impl<T: PyClass> PyCell<T> {
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|||
/// # use pyo3::prelude::*;
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||||
/// #[pyclass]
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||||
/// struct Class {}
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||||
///
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||||
/// Python::with_gil(|py| {
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||||
/// let c = PyCell::new(py, Class {}).unwrap();
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||||
/// {
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||||
|
@ -410,9 +518,9 @@ impl<T: PyClass + fmt::Debug> fmt::Debug for PyCell<T> {
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|||
}
|
||||
}
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||||
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||||
/// Wraps a borrowed reference to a value in a `PyCell<T>`.
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||||
/// A wrapper type for an immutably borrowed value from a [`PyCell`]`<T>`.
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||||
///
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||||
/// See the [`PyCell`](struct.PyCell.html) documentation for more.
|
||||
/// See the [`PyCell`] documentation for more information.
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||||
///
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||||
/// # Examples
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||||
///
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||||
|
@ -425,16 +533,19 @@ impl<T: PyClass + fmt::Debug> fmt::Debug for PyCell<T> {
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|||
/// struct Parent {
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||||
/// basename: &'static str,
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||||
/// }
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||||
///
|
||||
/// #[pyclass(extends=Parent)]
|
||||
/// struct Child {
|
||||
/// name: &'static str,
|
||||
/// }
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||||
///
|
||||
/// #[pymethods]
|
||||
/// impl Child {
|
||||
/// #[new]
|
||||
/// fn new() -> (Self, Parent) {
|
||||
/// (Child { name: "Caterpillar" }, Parent { basename: "Butterfly" })
|
||||
/// }
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||||
///
|
||||
/// fn format(slf: PyRef<Self>) -> String {
|
||||
/// // We can get *mut ffi::PyObject from PyRef
|
||||
/// use pyo3::AsPyPointer;
|
||||
|
@ -449,13 +560,14 @@ impl<T: PyClass + fmt::Debug> fmt::Debug for PyCell<T> {
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|||
/// # pyo3::py_run!(py, sub, "assert sub.format() == 'Caterpillar(base: Butterfly, cnt: 3)'");
|
||||
/// # });
|
||||
/// ```
|
||||
///
|
||||
/// See the [module-level documentation](self) for more information.
|
||||
pub struct PyRef<'p, T: PyClass> {
|
||||
inner: &'p PyCell<T>,
|
||||
}
|
||||
|
||||
impl<'p, T: PyClass> PyRef<'p, T> {
|
||||
/// Returns a `Python` token.
|
||||
/// This function is safe since `PyRef` has the same lifetime as a `GILGuard`.
|
||||
/// Returns a `Python` token that is bound to the lifetime of the `PyRef`.
|
||||
pub fn py(&self) -> Python {
|
||||
unsafe { Python::assume_gil_acquired() }
|
||||
}
|
||||
|
@ -491,14 +603,17 @@ where
|
|||
/// struct Base1 {
|
||||
/// name1: &'static str,
|
||||
/// }
|
||||
///
|
||||
/// #[pyclass(extends=Base1, subclass)]
|
||||
/// struct Base2 {
|
||||
/// name2: &'static str,
|
||||
/// }
|
||||
///
|
||||
/// #[pyclass(extends=Base2)]
|
||||
/// struct Sub {
|
||||
/// name3: &'static str,
|
||||
/// }
|
||||
///
|
||||
/// #[pymethods]
|
||||
/// impl Sub {
|
||||
/// #[new]
|
||||
|
@ -568,16 +683,15 @@ impl<T: PyClass + fmt::Debug> fmt::Debug for PyRef<'_, T> {
|
|||
}
|
||||
}
|
||||
|
||||
/// Wraps a mutable borrowed reference to a value in a `PyCell<T>`.
|
||||
/// A wrapper type for a mutably borrowed value from a[`PyCell`]`<T>`.
|
||||
///
|
||||
/// See the [`PyCell`](struct.PyCell.html) and [`PyRef`](struct.PyRef.html) documentation for more.
|
||||
/// See the [module-level documentation](self) for more information.
|
||||
pub struct PyRefMut<'p, T: PyClass> {
|
||||
inner: &'p PyCell<T>,
|
||||
}
|
||||
|
||||
impl<'p, T: PyClass> PyRefMut<'p, T> {
|
||||
/// Returns a `Python` token.
|
||||
/// This function is safe since `PyRefMut` has the same lifetime as a `GILGuard`.
|
||||
/// Returns a `Python` token that is bound to the lifetime of the `PyRefMut`.
|
||||
pub fn py(&self) -> Python {
|
||||
unsafe { Python::assume_gil_acquired() }
|
||||
}
|
||||
|
@ -609,7 +723,8 @@ where
|
|||
U: PyClass,
|
||||
{
|
||||
/// Gets a `PyRef<T::BaseType>`.
|
||||
/// See [`PyRef::into_super`](struct.PyRef.html#method.into_super) for more.
|
||||
///
|
||||
/// See [`PyRef::into_super`] for more.
|
||||
pub fn into_super(self) -> PyRefMut<'p, U> {
|
||||
let PyRefMut { inner } = self;
|
||||
std::mem::forget(self);
|
||||
|
@ -681,9 +796,9 @@ impl BorrowFlag {
|
|||
}
|
||||
}
|
||||
|
||||
/// An error returned by [`PyCell::try_borrow`](struct.PyCell.html#method.try_borrow).
|
||||
/// An error type returned by [`PyCell::try_borrow`].
|
||||
///
|
||||
/// In Python, you can catch this error using `except RuntimeError`.
|
||||
/// If this error is allowed to bubble up into Python code it will raise a `RuntimeError`.
|
||||
pub struct PyBorrowError {
|
||||
_private: (),
|
||||
}
|
||||
|
@ -706,9 +821,9 @@ impl From<PyBorrowError> for PyErr {
|
|||
}
|
||||
}
|
||||
|
||||
/// An error returned by [`PyCell::try_borrow_mut`](struct.PyCell.html#method.try_borrow_mut).
|
||||
/// An error type returned by [`PyCell::try_borrow_mut`].
|
||||
///
|
||||
/// In Python, you can catch this error using `except RuntimeError`.
|
||||
/// If this error is allowed to bubble up into Python code it will raise a `RuntimeError`.
|
||||
pub struct PyBorrowMutError {
|
||||
_private: (),
|
||||
}
|
||||
|
|
Loading…
Reference in a new issue