Raise on non-int arrays

src/ansys/dpf/core/scoping.py

@@ -51,8 +51,9 @@
     from ansys.dpf.core.server_types import AnyServerType
     import ansys.grpc.dpf.scoping_pb2.Scoping as ScopingMessage
     from ctypes import c_void_p as ScopingPointer
+    from numpy import typing as np_typing
 
-    IdVectorType = Union[list[int], range]
+    IdVectorType = Union[list[int], range, np_typing.NDArray[np.int32]]
 
 
 class Scoping:
@@ -195,8 +196,13 @@ def _set_ids(self, ids: IdVectorType):
         if isinstance(ids, range):
             ids = list(ids)
         if isinstance(ids, np.ndarray):
-            if ids.dtype != np.int32:
+            if ids.dtype == np.int64:
                 ids = ids.astype(np.int32)
+            if ids.dtype != np.int32:
+                raise ValueError(
+                    f"Accepted dtypes for NumPy arrays when setting scoping IDs are "
+                    f"'np.int32' and np.int64' (provided is '{ids.dtype}')."
+                )
         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

@@ -74,6 +74,14 @@ def test_set_get_ids_scoping_int64_array(server_type):
     assert np.allclose(scop.ids, ids_list)
 
 
+def test_set_get_ids_scoping_raise_dtype_array(server_type):
+    scop = Scoping(server=server_type)
+    ids_list = [1.0, 2.0, 3.0, 4.0]
+    ids = np.array(ids_list)
+    with pytest.raises(ValueError, match="Accepted dtypes"):
+        scop.ids = ids
+
+
 def test_set_get_ids_scoping_range(server_type):
     range_ids = range(1, 10)
     scop = Scoping(