diff --git a/test/test_linearizer.py b/test/test_linearizer.py
index 076555291a..bdd866dddd 100644
--- a/test/test_linearizer.py
+++ b/test/test_linearizer.py
@@ -108,6 +108,25 @@ class TestLinearizer(unittest.TestCase):
         if skip and i in skip: continue
         assert ranges[i-1] != u, f"multireduce nested the ranges! {ranges[i-1], {u}}"
 
+  @unittest.expectedFailure
+  def test_const_alu_indexing(self):
+    st = ShapeTracker.from_shape((4,)).to_uop()
+    load = UOp.load(UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(), arg=1, src=()), st, dtype=dtypes.float)
+    op = load+UOp.const(dtypes.float, 1.0)*UOp.const(dtypes.float, -1)
+    store = UOp.store(UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(), arg=0, src=()), st, op)
+    Tensor.manual_seed(0)
+    x = Tensor.randn(4,).realize()
+    helper_linearizer_ast(store.sink(), [x], wanna_output=[x.numpy()+1*-1], opts=[])
+
+  def test_const_alu_indexing_one_const_fine(self):
+    st = ShapeTracker.from_shape((4,)).to_uop()
+    load = UOp.load(UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(), arg=1, src=()), st, dtype=dtypes.float)
+    op = load+UOp.const(dtypes.float, 1.0)
+    store = UOp.store(UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(), arg=0, src=()), st, op)
+    Tensor.manual_seed(0)
+    x = Tensor.randn(4,).realize()
+    helper_linearizer_ast(store.sink(), [x], wanna_output=[x.numpy()+1], opts=[])
+
   @unittest.skipIf(CI and Device.DEFAULT in {"AMD"}, "AMD CI doesn't support multiple sync threads yet")
   @unittest.skipUnless(Device[Device.DEFAULT].renderer.has_local, "test requires locals")
   @unittest.skipUnless(Device[Device.DEFAULT].renderer.has_shared, "test requires shared")