downgrades rust numpy for linux

Cargo.toml

@@ -18,9 +18,9 @@ crate-type = ["cdylib"]
 [dependencies]
 atomic_float = "1.1.0"
 ndarray = "0.16.1"
-numpy = "0.23.0"
+numpy = "0.22.1"
 petgraph = "0.7.1"
-pyo3 = { version = "0.23.4", features = ["multiple-pymethods"] }
+pyo3 = { version = "0.22.6", features = ["multiple-pymethods"] }
 rand = "0.9.0"
 rand_distr = "0.5.0"
 rayon = "1.7.0"

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "cityseer"
-version = '4.18.0'
+version = '4.18.1'
 description = "Computational tools for network-based pedestrian-scale urban analysis"
 readme = "README.md"
 requires-python = ">=3.10, <3.14"

src/common.rs

@@ -81,7 +81,7 @@ impl MetricResult {
                     .collect();
                 let array = Python::with_gil(|py| {
                     vec_f32
-                        .into_pyarray(py)
+                        .into_pyarray_bound(py)
                         .to_owned() // This gives us a PyArray, but wrapped in pyo3::Bound
                         .into() // Convert to the required Py<PyArray> type
                 });

src/viewshed.rs

@@ -179,15 +179,15 @@ impl Viewshed {
         // Convert the results back to NumPy arrays
         let array_u32 = Array2::from_shape_vec((height, width), results_u32)
             .unwrap()
-            .into_pyarray(py)
+            .into_pyarray_bound(py)
             .to_owned();
         let array_f32_a = Array2::from_shape_vec((height, width), results_f32_a)
             .unwrap()
-            .into_pyarray(py)
+            .into_pyarray_bound(py)
             .to_owned();
         let array_f32_b = Array2::from_shape_vec((height, width), results_f32_b)
             .unwrap()
-            .into_pyarray(py)
+            .into_pyarray_bound(py)
             .to_owned();
 
         Ok((array_u32.into(), array_f32_a.into(), array_f32_b.into()))
@@ -206,7 +206,7 @@ impl Viewshed {
         let visibility = calculate_viewshed(raster_array, origin_x, origin_y, view_distance);
         let numpy_array = Array2::from_shape_vec((height, width), visibility)
             .unwrap()
-            .into_pyarray(py)
+            .into_pyarray_bound(py)
             .to_owned();
         Ok(numpy_array.into())
     }