Fix Scoping.ids setter for int64 arrays

src/ansys/dpf/core/scoping.py

@@ -183,6 +183,9 @@ def _set_location(self, loc=locations.nodal):
     def _set_ids(self, ids: IdVectorType):
         """Set the ids.
 
+        Scoping IDs are stored as int32.
+        Converts automatically int64 Numpy arrays to int32.
+
         Parameters
         ----------
         ids:
@@ -191,6 +194,9 @@ def _set_ids(self, ids: IdVectorType):
         """
         if isinstance(ids, range):
             ids = list(ids)
+        if isinstance(ids, np.ndarray):
+            if ids.dtype == np.int64:
+                ids = ids.astype(np.int32)
         if isinstance(self._server, server_types.InProcessServer):
             self._api.scoping_resize(self, len(ids))
             ids_ptr = self._api.scoping_get_ids(self, len(ids))

tests/test_scoping.py

@@ -64,6 +64,16 @@ def test_set_get_ids_scoping(server_type):
     assert np.allclose(scop.ids, ids)
 
 
+def test_set_get_ids_scoping_int64_array(server_type):
+    # Numpy 2 switches default int precision from 32 to 64 on Windows
+    # This tests verifies we convert any array of int64 to int32.
+    scop = Scoping(server=server_type)
+    ids_list = [1, 2, 3, 4]
+    ids = np.array(ids_list, dtype=np.int64)
+    scop.ids = ids
+    assert np.allclose(scop.ids, ids_list)
+
+
 def test_set_get_ids_scoping_range(server_type):
     range_ids = range(1, 10)
     scop = Scoping(