Adds into_pyarray to faer Mat

Cargo.toml

@@ -18,13 +18,17 @@ license = "BSD-2-Clause"
 half = { version = "2.0", default-features = false, optional = true }
 libc = "0.2"
 nalgebra = { version = ">=0.30, <0.34", default-features = false, optional = true }
+faer = { version = "0.21.9", optional = true }
 num-complex = ">= 0.2, < 0.5"
 num-integer = "0.1"
 num-traits = "0.2"
 ndarray = ">= 0.15, < 0.17"
 pyo3 = { version = "0.24", default-features = false, features = ["macros"] }
 rustc-hash = "2.0"
 
+[features]
+faer = ["dep:faer"]
+
 [dev-dependencies]
 pyo3 = { version = "0.24", default-features = false, features = ["auto-initialize"] }
 nalgebra = { version = ">=0.30, <0.34", default-features = false, features = ["std"] }

src/convert.rs

@@ -2,7 +2,7 @@
 
 use std::{mem, os::raw::c_int, ptr};
 
-use ndarray::{ArrayBase, Data, Dim, Dimension, IntoDimension, Ix1, OwnedRepr};
+use ndarray::{ArrayBase, Data, Dim, Dimension, IntoDimension, Ix1, Ix2, OwnedRepr};
 use pyo3::{Bound, Python};
 
 use crate::array::{PyArray, PyArrayMethods};
@@ -90,6 +90,32 @@ impl<T: Element> IntoPyArray for Vec<T> {
     }
 }
 
+#[cfg(feature = "faer")]
+impl<T: Element> IntoPyArray for faer::Mat<T> {
+    type Item = T;
+    type Dim = Ix2;
+
+    fn into_pyarray<'py>(mut self, py: Python<'py>) -> Bound<'py, PyArray<Self::Item, Self::Dim>> {
+        let dims = Dim([self.nrows(), self.ncols()]);
+        let rstride = self.row_stride();
+        let cstride = self.col_stride();
+        let strides = [
+            rstride * mem::size_of::<T>() as npy_intp,
+            cstride * mem::size_of::<T>() as npy_intp,
+        ];
+        let data_ptr = self.as_ptr_mut();
+        unsafe {
+            PyArray::from_raw_parts(
+                py,
+                dims,
+                strides.as_ptr(),
+                data_ptr,
+                PySliceContainer::from(self),
+            )
+        }
+    }
+}
+
 impl<A, D> IntoPyArray for ArrayBase<OwnedRepr<A>, D>
 where
     A: Element,

src/slice_container.rs

@@ -71,6 +71,35 @@ impl<T: Send + Sync> From<Vec<T>> for PySliceContainer {
     }
 }
 
+#[cfg(feature = "faer")]
+impl<T: Send + Sync> From<faer::Mat<T>> for PySliceContainer {
+    fn from(data: faer::Mat<T>) -> Self {
+        unsafe fn drop_faer_mat<T>(ptr: *mut u8, len_nrows: usize, cap_ncols: usize) {
+            let _ = faer::mat::MatMut::from_raw_parts_mut(
+                ptr as *mut T,
+                len_nrows,
+                cap_ncols,
+                1,
+                cap_ncols as isize,
+            );
+        }
+
+        let mut data = mem::ManuallyDrop::new(data);
+
+        let ptr = data.as_ptr_mut() as *mut u8;
+        let len = data.nrows();
+        let cap = data.ncols();
+        let drop = drop_faer_mat::<T>;
+
+        Self {
+            ptr,
+            len,
+            cap,
+            drop,
+        }
+    }
+}
+
 impl<A, D> From<ArrayBase<OwnedRepr<A>, D>> for PySliceContainer
 where
     A: Send + Sync,

tests/to_py.rs

@@ -288,6 +288,31 @@ fn slice_container_type_confusion() {
     });
 }
 
+#[cfg(feature = "faer")]
+#[test]
+fn faer_mat_to_numpy() {
+    let faer_mat: faer::Mat<f64> = faer::Scale(2.0) * faer::mat::Mat::<f64>::identity(2, 2);
+    let faer_mat_wide: faer::Mat<f64> = faer::mat![[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]];
+    let faer_mat_tall: faer::Mat<f64> = faer_mat_wide.transpose().to_owned();
+    Python::with_gil(|py| {
+        let mat_pyarray = faer_mat.into_pyarray(py);
+        let mat_wide_pyarray = faer_mat_wide.into_pyarray(py);
+        let mat_tall_pyarray = faer_mat_tall.into_pyarray(py);
+        assert_eq!(
+            mat_pyarray.readonly().as_array(),
+            array![[2.0f64, 0.0f64], [0.0f64, 2.0f64]]
+        );
+        assert_eq!(
+            mat_wide_pyarray.readonly().as_array(),
+            array![[1.0f64, 2.0, 3.0], [4.0, 5.0, 6.0]]
+        );
+        assert_eq!(
+            mat_tall_pyarray.readonly().as_array(),
+            array![[1.0f64, 4.0], [2.0, 5.0], [3.0, 6.0]]
+        );
+    });
+}
+
 #[cfg(feature = "nalgebra")]
 #[test]
 fn matrix_to_numpy() {