Update to PyO3 0.22

.github/workflows/release.yml

@@ -80,24 +80,21 @@ jobs:
           path: dist
   windows:
     runs-on: windows-latest
-    strategy:
-      matrix:
-        target: [x64, x86]
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v5
         with:
           python-version: 3.9
-          architecture: ${{ matrix.target }}
+          architecture: x64
       - name: Build wheels
         uses: PyO3/maturin-action@v1
         with:
-          target: ${{ matrix.target }}
+          target: x64
           args: --release --out dist
       - name: Upload wheels
         uses: actions/upload-artifact@v4
         with:
-          name: wheel-${{ matrix.target }}
+          name: wheel-windows-x64
           path: dist
 
   deploy-pypi:

.github/workflows/wheels.yml

@@ -61,22 +61,19 @@ jobs:
           path: dist
   windows:
     runs-on: windows-latest
-    strategy:
-      matrix:
-        target: [x64, x86]
     steps:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v5
         with:
           python-version: 3.9
-          architecture: ${{ matrix.target }}
+          architecture: x64
       - name: Build wheels
         uses: PyO3/maturin-action@v1
         with:
-          target: ${{ matrix.target }}
+          target: x64
           args: --release --out dist
       - name: Upload wheels
         uses: actions/upload-artifact@v4
         with:
-          name: wheel-${{ matrix.target }}
+          name: wheel-windows-x64
           path: dist

CHANGELOG.md

@@ -6,6 +6,17 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [0.10.0] - 2024-10-22
+### Packaging
+- Updated `nalgebra` dependency to 0.33. [#75](https://github.com/itt-ustutt/num-dual/pull/75)
+- Updated `simba` dependency to 0.9. [#75](https://github.com/itt-ustutt/num-dual/pull/75)
+- Updated `pyo3` and `numpy` dependencies to 0.22. [#80](https://github.com/itt-ustutt/num-dual/pull/80)
+- Updated `ndarray` dependency to 0.16. [#80](https://github.com/itt-ustutt/num-dual/pull/80)
+- Increased minimum supported Rust version to 1.81. [#77](https://github.com/itt-ustutt/num-dual/pull/77)
+
+## Removed
+- Due to limitations in the `numpy` dependency, Python wheels for 32-bit Windows are no longer supported. [#80](https://github.com/itt-ustutt/num-dual/pull/80)
+
 ## [0.9.1] - 2024-04-15
 ### Added
 - Added `serde` feature that enables serialization and deserialization of all scalar dual numbers. [#74](https://github.com/itt-ustutt/num-dual/pull/74)

Cargo.toml

@@ -1,8 +1,10 @@
 [package]
 name = "num-dual"
-version = "0.9.1"
-authors = ["Gernot Bauer <bauer@itt.uni-stuttgart.de>",
-           "Philipp Rehner <prehner@ethz.ch>"]
+version = "0.10.0"
+authors = [
+    "Gernot Bauer <bauer@itt.uni-stuttgart.de>",
+    "Philipp Rehner <prehner@ethz.ch>",
+]
 rust-version = "1.81"
 edition = "2021"
 readme = "README.md"
@@ -20,13 +22,17 @@ name = "num_dual"
 [dependencies]
 num-traits = "0.2"
 nalgebra = "0.33"
-pyo3 = { version = "0.21", optional = true, features = ["multiple-pymethods", "extension-module", "abi3", "abi3-py37"] }
-ndarray = { version = "0.15", optional = true }
-numpy = { version = "0.21", optional = true }
+ndarray = { version = "0.16", optional = true }
+numpy = { version = "0.22", optional = true }
 approx = "0.5"
 simba = "0.9"
 serde = { version = "1.0", features = ["derive"], optional = true }
 
+[dependencies.pyo3]
+version = "0.22"
+optional = true
+features = ["multiple-pymethods", "extension-module", "abi3", "abi3-py37"]
+
 [profile.release]
 lto = true
 

README.md

@@ -2,7 +2,7 @@
 
 [![crate](https://img.shields.io/crates/v/num-dual.svg)](https://crates.io/crates/num-dual)
 [![documentation](https://docs.rs/num-dual/badge.svg)](https://docs.rs/num-dual)
-[![minimum rustc 1.51](https://img.shields.io/badge/rustc-1.51+-red.svg)](https://rust-lang.github.io/rfcs/2495-min-rust-version.html)
+[![minimum rustc 1.81](https://img.shields.io/badge/rustc-1.81+-red.svg)](https://rust-lang.github.io/rfcs/2495-min-rust-version.html)
 [![documentation](https://img.shields.io/badge/docs-github--pages-blue)](https://itt-ustutt.github.io/num-dual/)
 [![PyPI version](https://badge.fury.io/py/num_dual.svg)](https://badge.fury.io/py/num_dual)
 
@@ -29,7 +29,7 @@ Add this to your `Cargo.toml`:
 
 ```toml
 [dependencies]
-num-dual = "0.7"
+num-dual = "0.10"
 ```
 
 ## Example

license-apache

@@ -1,18 +1,3 @@
-   Copyright (c) 2021-present num-dual and Contributors.  https://github.com/itt-ustutt/num_dual
-
-   Licensed under the Apache License, Version 2.0 (the "License");
-   you may not use this file except in compliance with the License.
-   You may obtain a copy of the License at
-
-       http://www.apache.org/licenses/LICENSE-2.0
-
-   Unless required by applicable law or agreed to in writing, software
-   distributed under the License is distributed on an "AS IS" BASIS,
-   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-   See the License for the specific language governing permissions and
-   limitations under the License.
-
-
                                  Apache License
                            Version 2.0, January 2004
                         http://www.apache.org/licenses/

src/derivative.rs

@@ -385,9 +385,8 @@ where
     DefaultAllocator: Allocator<R, C>,
 {
     fn mul_assign(&mut self, rhs: T) {
-        match &mut self.0 {
-            Some(s) => *s *= rhs,
-            None => (),
+        if let Some(s) = &mut self.0 {
+            *s *= rhs
         }
     }
 }
@@ -397,9 +396,8 @@ where
     DefaultAllocator: Allocator<R, C>,
 {
     fn div_assign(&mut self, rhs: T) {
-        match &mut self.0 {
-            Some(s) => *s /= rhs,
-            None => (),
+        if let Some(s) = &mut self.0 {
+            *s /= rhs
         }
     }
 }

src/python/dual.rs

@@ -1,6 +1,6 @@
 use crate::*;
 use nalgebra::{DVector, SVector};
-use numpy::{PyArray, PyReadonlyArrayDyn};
+use numpy::{PyArray, PyReadonlyArrayDyn, PyReadwriteArrayDyn};
 use pyo3::exceptions::PyTypeError;
 use pyo3::prelude::*;
 

src/python/dual2.rs

@@ -1,7 +1,7 @@
 use super::dual::PyDual64;
 use crate::*;
 use nalgebra::{DVector, SVector};
-use numpy::{PyArray, PyReadonlyArrayDyn};
+use numpy::{PyArray, PyReadonlyArrayDyn, PyReadwriteArrayDyn};
 use pyo3::exceptions::PyTypeError;
 use pyo3::prelude::*;
 

src/python/dual3.rs

@@ -1,6 +1,6 @@
 use super::dual::PyDual64;
 use crate::*;
-use numpy::{PyArray, PyReadonlyArrayDyn};
+use numpy::{PyArray, PyReadonlyArrayDyn, PyReadwriteArrayDyn};
 use pyo3::exceptions::PyTypeError;
 use pyo3::prelude::*;
 

src/python/hyperdual.rs

@@ -1,7 +1,7 @@
 use super::dual::PyDual64;
 use crate::*;
 use nalgebra::{DVector, SVector};
-use numpy::{PyArray, PyReadonlyArrayDyn};
+use numpy::{PyArray, PyReadonlyArrayDyn, PyReadwriteArrayDyn};
 use pyo3::exceptions::PyTypeError;
 use pyo3::prelude::*;
 

src/python/hyperhyperdual.rs

@@ -1,5 +1,5 @@
 use crate::*;
-use numpy::{PyArray, PyReadonlyArrayDyn};
+use numpy::{PyArray, PyReadonlyArrayDyn, PyReadwriteArrayDyn};
 use pyo3::exceptions::PyTypeError;
 use pyo3::prelude::*;
 

src/python_macro.rs

@@ -228,22 +228,18 @@ macro_rules! impl_dual_num {
                     )
                     .into_any());
                 }
-                if let Ok(r) = rhs.extract::<PyReadonlyArrayDyn<PyObject>>() {
+                if let Ok(mut r) = rhs.extract::<PyReadwriteArrayDyn<PyObject>>() {
                     // check data type of first element
                     if r.as_array()
                         .get(0)
                         .unwrap()
                         .bind(rhs.py())
                         .is_instance_of::<Self>()
                     {
-                        return Ok(PyArray::from_owned_object_array_bound(
-                            rhs.py(),
-                            r.as_array().mapv(|ri| {
-                                Py::new(rhs.py(), Self(self.0.clone() + ri.extract::<Self>(rhs.py()).unwrap().0))
-                                    .unwrap()
-                            }),
-                        )
-                        .into_any());
+                        r.as_array_mut().map_inplace(|ri| {
+                            *ri = Py::new(rhs.py(), Self(self.0.clone() + ri.extract::<Self>(rhs.py()).unwrap().0)).unwrap().into_any()
+                        });
+                        return Ok(r.as_any().clone());
                     } else {
                         return Err(PyErr::new::<PyTypeError, _>(format!(
                             "Operation with the provided object type is not implemented. Supported data types are 'float', 'int' and '{}'.",
@@ -278,22 +274,18 @@ macro_rules! impl_dual_num {
                     )
                     .into_any());
                 }
-                if let Ok(r) = rhs.extract::<PyReadonlyArrayDyn<PyObject>>() {
+                if let Ok(mut r) = rhs.extract::<PyReadwriteArrayDyn<PyObject>>() {
                     // check data type of first element
                     if r.as_array()
                         .get(0)
                         .unwrap()
                         .bind(rhs.py())
                         .is_instance_of::<Self>()
                     {
-                        return Ok(PyArray::from_owned_object_array_bound(
-                            rhs.py(),
-                            r.as_array().mapv(|ri| {
-                                Py::new(rhs.py(), Self(self.0.clone() - ri.extract::<Self>(rhs.py()).unwrap().0))
-                                    .unwrap()
-                            }),
-                        )
-                        .into_any());
+                        r.as_array_mut().map_inplace(|ri| {
+                            *ri = Py::new(rhs.py(), Self(self.0.clone() - ri.extract::<Self>(rhs.py()).unwrap().0)).unwrap().into_any()
+                        });
+                        return Ok(r.as_any().clone());
                     } else {
                         return Err(PyErr::new::<PyTypeError, _>(format!(
                             "Operation with the provided object type is not implemented. Supported data types are 'float', 'int' and '{}'.",
@@ -328,22 +320,18 @@ macro_rules! impl_dual_num {
                     )
                     .into_any());
                 }
-                if let Ok(r) = rhs.extract::<PyReadonlyArrayDyn<PyObject>>() {
+                if let Ok(mut r) = rhs.extract::<PyReadwriteArrayDyn<PyObject>>() {
                     // check data type of first element
                     if r.as_array()
                         .get(0)
                         .unwrap()
                         .bind(rhs.py())
                         .is_instance_of::<Self>()
                     {
-                        return Ok(PyArray::from_owned_object_array_bound(
-                            rhs.py(),
-                            r.as_array().mapv(|ri| {
-                                Py::new(rhs.py(), Self(self.0.clone() * ri.extract::<Self>(rhs.py()).unwrap().0))
-                                    .unwrap()
-                            }),
-                        )
-                        .into_any());
+                        r.as_array_mut().map_inplace(|ri| {
+                            *ri = Py::new(rhs.py(), Self(self.0.clone() * ri.extract::<Self>(rhs.py()).unwrap().0)).unwrap().into_any()
+                        });
+                        return Ok(r.as_any().clone());
                     } else {
                         return Err(PyErr::new::<PyTypeError, _>(format!(
                             "Operation with the provided object type is not implemented. Supported data types are 'float', 'int' and '{}'.",
@@ -378,22 +366,18 @@ macro_rules! impl_dual_num {
                     )
                     .into_any());
                 }
-                if let Ok(r) = rhs.extract::<PyReadonlyArrayDyn<PyObject>>() {
+                if let Ok(mut r) = rhs.extract::<PyReadwriteArrayDyn<PyObject>>() {
                     // check data type of first element
                     if r.as_array()
                         .get(0)
                         .unwrap()
                         .bind(rhs.py())
                         .is_instance_of::<Self>()
                     {
-                        return Ok(PyArray::from_owned_object_array_bound(
-                            rhs.py(),
-                            r.as_array().mapv(|ri| {
-                                Py::new(rhs.py(), Self(self.0.clone() / ri.extract::<Self>(rhs.py()).unwrap().0))
-                                    .unwrap()
-                            }),
-                        )
-                        .into_any());
+                        r.as_array_mut().map_inplace(|ri| {
+                            *ri = Py::new(rhs.py(), Self(self.0.clone() / ri.extract::<Self>(rhs.py()).unwrap().0)).unwrap().into_any()
+                        });
+                        return Ok(r.as_any().clone());
                     } else {
                         return Err(PyErr::new::<PyTypeError, _>(format!(
                             "Operation with the provided object type is not implemented. Supported data types are 'float', 'int' and '{}'.",