Numba does not output numpy scalars

Author: ricardoV94

tests/tensor/test_basic.py

@@ -2185,21 +2185,23 @@ def test_ScalarFromTensor(cast_policy):
         v = eval_outputs([ss])
 
         assert v == 56
-        assert v.shape == ()
-
-        if cast_policy == "custom":
-            assert isinstance(v, np.int8)
-        elif cast_policy == "numpy+floatX":
-            assert isinstance(v, np.int64)
+        assert isinstance(
+            v, int
+        )  # Numba unboxes scalars to python numerical primitives
+        # assert v.shape == ()
+        # if cast_policy == "custom":
+        #     assert isinstance(v, np.int8)
+        # elif cast_policy == "numpy+floatX":
+        #     assert isinstance(v, np.int64)
 
         pts = lscalar()
         ss = scalar_from_tensor(pts)
         ss.owner.op.grad([pts], [ss])
         fff = function([pts], ss)
         v = fff(np.asarray(5))
         assert v == 5
-        assert isinstance(v, np.int64)
-        assert v.shape == ()
+        # assert isinstance(v, np.int64)
+        # assert v.shape == ()
 
         with pytest.raises(TypeError):
             scalar_from_tensor(vector())