3f4f068c7f | ||
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.github | ||
benches | ||
ci/travis | ||
examples | ||
guide | ||
pyo3-derive-backend | ||
pyo3cls | ||
src | ||
tests | ||
.gitignore | ||
.travis.yml | ||
CHANGELOG.md | ||
Cargo.toml | ||
Code-of-Conduct.md | ||
Contributing.md | ||
LICENSE | ||
Makefile | ||
README.md | ||
appveyor.yml | ||
build.rs | ||
tox.ini |
README.md
PyO3
Rust bindings for Python. This includes running and interacting with python code from a rust binaries as well as writing native python modules.
A comparison with rust-cpython can be found in the guide.
Usage
PyO3 supports Python 3.5 and up. The minimum required rust version is 1.34.0-nightly 2019-02-06.
You can either write a native Python module in rust or use Python from a Rust binary.
However, on some OSs, you need some additional packages. E.g. if you are on Ubuntu 18.04, please run
sudo apt install python3-dev python-dev
Using Rust from Python
PyO3 can be used to generate a native python module.
Cargo.toml
[package]
name = "string-sum"
version = "0.1.0"
edition = "2018"
[lib]
name = "string_sum"
crate-type = ["cdylib"]
[dependencies.pyo3]
version = "0.6.0"
features = ["extension-module"]
src/lib.rs
// Not required when using Rust 2018
extern crate pyo3;
use pyo3::prelude::*;
use pyo3::wrap_pyfunction;
#[pyfunction]
/// Formats the sum of two numbers as string
fn sum_as_string(a: usize, b: usize) -> PyResult<String> {
Ok((a + b).to_string())
}
/// This module is a python module implemented in Rust.
#[pymodule]
fn string_sum(py: Python, m: &PyModule) -> PyResult<()> {
m.add_wrapped(wrap_pyfunction!(sum_as_string))?;
Ok(())
}
On Windows and Linux, you can build normally with cargo build --release
. On MacOS, you need to set additional linker arguments. One option is to compile with cargo rustc --release -- -C link-arg=-undefined -C link-arg=dynamic_lookup
, the other is to create a .cargo/config
with the following content:
[target.x86_64-apple-darwin]
rustflags = [
"-C", "link-arg=-undefined",
"-C", "link-arg=dynamic_lookup",
]
For developing, you can copy and rename the shared library from the target folder: On MacOS, rename libstring_sum.dylib
to string_sum.so
, on Windows libstring_sum.dll
to string_sum.pyd
and on Linux libstring_sum.so
to string_sum.so
. Then open a Python shell in the same folder and you'll be able to import string_sum
.
To build, test and publish your crate as Python module, you can use pyo3-pack or setuptools-rust. You can find an example for setuptools-rust in examples/word-count, while pyo3-pack should work on your crate without any configuration.
Using python from rust
Add pyo3
this to your Cargo.toml
:
[dependencies]
pyo3 = "0.6.0-alpha.4"
Example program displaying the value of sys.version
:
// Not required when using Rust 2018
extern crate pyo3;
use pyo3::prelude::*;
use pyo3::types::IntoPyDict;
fn main() -> PyResult<()> {
let gil = Python::acquire_gil();
let py = gil.python();
let sys = py.import("sys")?;
let version: String = sys.get("version")?.extract()?;
let locals = [("os", py.import("os")?)].into_py_dict(py);
let code = "os.getenv('USER') or os.getenv('USERNAME') or 'Unknown'";
let user: String = py.eval(code, None, Some(&locals))?.extract()?;
println!("Hello {}, I'm Python {}", user, version);
Ok(())
}
Examples and tooling
- examples/word-count Counting the occurrences of a word in a text file
- hyperjson A hyper-fast Python module for reading/writing JSON data using Rust's serde-json
- rust-numpy Rust binding of NumPy C-API
- html-py-ever Using html5ever through kuchiki to speed up html parsing and css-selecting.
- pyo3-built Simple macro to expose metadata obtained with the
built
crate as aPyDict
- point-process High level API for pointprocesses as a Python library
- autopy A simple, cross-platform GUI automation library for Python and Rust.
- orjson Fast Python JSON library
License
PyO3 is licensed under the Apache-2.0 license. Python is licensed under the Python License.