Rust bindings for the NumPy C-API
- current nightly rust (see PyO3/pyo3#5 for nightly features, and https://github.com/PyO3/pyo3/blob/master/build.rs for minimum required version)
- some rust libraries
- ndarray for rust-side matrix library
- pyo3 for cpython binding
- and more (see Cargo.toml)
- numpy installed in your python environments (e.g., via
pip install numpy
)
Note Starting from 0.3, rust-numpy migrated from rust-cpython to pyo3. If you want to use rust-cpython, use version 0.2.1 from crates.io.
Currently 2.7, 3.5, 3.6, 3.7 are supported.
By default, rust-numpy is built for Python3.
If you want to compile for Python2, please add a feature flag in Cargo.toml
like
[dependencies.numpy]
version = "0.4.0-alpha.1"
features = ["python2"]
.
You can also automatically specify python version in setup.py , using setuptools-rust.
[package]
name = "numpy-test"
[dependencies]
pyo3 = "^0.5.0-alpha.2"
numpy = "0.4.0-alpha.1"
extern crate numpy;
extern crate pyo3;
use numpy::{PyArray1, get_array_module};
use pyo3::prelude::{ObjectProtocol, PyResult, Python};
use pyo3::types::PyDict;
fn main() -> Result<(), ()> {
let gil = Python::acquire_gil();
main_(gil.python()).map_err(|e| {
eprintln!("error! :{:?}", e);
// we can't display python error type via ::std::fmt::Display
// so print error here manually
e.print_and_set_sys_last_vars(gil.python());
})
}
fn main_<'py>(py: Python<'py>) -> PyResult<()> {
let np = get_array_module(py)?;
let dict = PyDict::new(py);
dict.set_item("np", np)?;
let pyarray: &PyArray1<i32> = py
.eval("np.array([1, 2, 3], dtype='int32')", Some(&dict), None)?
.extract()?;
let slice = pyarray.as_slice();
assert_eq!(slice, &[1, 2, 3]);
Ok(())
}
Please see the example directory for a complete example
[lib]
name = "rust_ext"
crate-type = ["cdylib"]
[dependencies]
numpy = "0.4.0-alpha.1"
ndarray = "0.12"
[dependencies.pyo3]
version = "^0.5.0-alpha.2"
features = ["extension-module"]
extern crate ndarray;
extern crate numpy;
extern crate pyo3;
use ndarray::{ArrayD, ArrayViewD, ArrayViewMutD};
use numpy::{IntoPyArray, PyArrayDyn};
use pyo3::prelude::{pymodinit, PyModule, PyResult, Python};
#[pymodinit]
fn rust_ext(_py: Python, m: &PyModule) -> PyResult<()> {
// immutable example
fn axpy(a: f64, x: ArrayViewD<f64>, y: ArrayViewD<f64>) -> ArrayD<f64> {
a * &x + &y
}
// mutable example (no return)
fn mult(a: f64, mut x: ArrayViewMutD<f64>) {
x *= a;
}
// wrapper of `axpy`
#[pyfn(m, "axpy")]
fn axpy_py(
py: Python,
a: f64,
x: &PyArrayDyn<f64>,
y: &PyArrayDyn<f64>,
) -> PyResult<PyArrayDyn<f64>> {
// you can convert numpy error into PyErr via ?
let x = x.as_array();
// you can also specify your error context, via closure
let y = y.as_array();
Ok(axpy(a, x, y).into_pyarray(py).to_owned(py))
}
// wrapper of `mult`
#[pyfn(m, "mult")]
fn mult_py(_py: Python, a: f64, x: &PyArrayDyn<f64>) -> PyResult<()> {
let x = x.as_array_mut();
mult(a, x);
Ok(())
}
Ok(())
}
This project is still in pre-alpha. We need your feedback. Don't hesitate to open issues!
-
v0.4.0(coming soon)
- Duplicate
PyArrayModule
and import Numpy API automatically - Fix memory leak of
IntoPyArray
and addToPyArray
crate - PyArray has dimension as type parameter. Now it looks like
PyArray<T, D>
- Use
ndarray::IntoDimension
to specify dimension - Python2 support
- Duplicate
-
v0.3.1, v0.3.2
- Just update dependencies
-
v0.3.0
- Breaking Change: Migrated to pyo3 from rust-cpython
- Some api addition
- Static type checking with PhantomData
-
v0.2.1
- NEW: trait
IntoPyErr
,IntoPyResult
for error translation
- NEW: trait
-
v0.2.0
- NEW: traits
IntoPyArray
,ToPyArray
- MOD: Interface of
PyArray
creation functions are changed
- NEW: traits
-
v0.1.1
- Update documents
-
v0.1.0
- First Release
- Expose unsafe interfase of Array and UFunc API