Fix Scoping.ids setter for int64 arrays (#2040)

* Scoping.ids converts int64 arrays to int32 arrays

* Add testing

* Update src/ansys/dpf/core/scoping.py

* Raise on non-int arrays

* Fix style check

* Fix Style check

* Update src/ansys/dpf/core/scoping.py

Author: PProfizi

src/ansys/dpf/core/scoping.py

@@ -50,10 +50,12 @@
 if TYPE_CHECKING:  # pragma: nocover
     from ctypes import c_void_p as ScopingPointer
 
+    from numpy import typing as np_typing
+
     from ansys.dpf.core.server_types import AnyServerType
     import ansys.grpc.dpf.scoping_pb2.Scoping as ScopingMessage
 
-    IdVectorType = Union[list[int], range]
+    IdVectorType = Union[list[int], range, np_typing.NDArray[np.int32]]
 
 
 class Scoping:
@@ -184,6 +186,9 @@ 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:
@@ -192,6 +197,14 @@ 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 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

@@ -64,6 +64,24 @@ 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_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(