diff --git a/test/test_setitem.py b/test/test_setitem.py
index 934c726e77..b70cca8784 100644
--- a/test/test_setitem.py
+++ b/test/test_setitem.py
@@ -35,14 +35,13 @@ class TestSetitem(unittest.TestCase):
       for v in (5., 5, True):
         t = Tensor.ones(6,6, dtype=dt).contiguous()
         t[1] = v
-        assert t.dtype == dt
+        self.assertEqual(t.dtype, dt)
 
   def test_setitem_into_noncontiguous(self):
     t = Tensor.ones(4)
-    assert not t.lazydata.st.contiguous
+    self.assertFalse(t.lazydata.st.contiguous)
     with self.assertRaises(RuntimeError): t[1] = 5
 
-  @unittest.skip("TODO: broken")
   def test_setitem_inplace_operator(self):
     t = Tensor.arange(4).reshape(2, 2).contiguous()
     t[1] += 2
@@ -74,7 +73,7 @@ class TestSetitem(unittest.TestCase):
     t = Tensor.arange(4).reshape(2, 2).contiguous()
     t[1] += 2
     t = t.contiguous()
-    # TODO: RuntimeError: must be contiguous for assign ShapeTracker(views=(View(shape=(2,), strides=(1,), offset=2, mask=None, contiguous=False),))
+    # TODO: RuntimeError: can't double realize in one schedule
     t[1] -= 1
     np.testing.assert_allclose(t.numpy(), [[0, 1], [3, 4]])
 
@@ -120,7 +119,7 @@ class TestSetitem(unittest.TestCase):
   def test_setitem_overlapping_inplace(self):
     t = Tensor([[3.0], [2.0], [1.0]]).contiguous()
     t[1:] = t[:-1]
-    assert t.tolist() == [[3.0], [3.0], [2.0]]
+    self.assertEqual(t.tolist(), [[3.0], [3.0], [2.0]])
 
 class TestWithGrad(unittest.TestCase):
   def test_no_requires_grad_works(self):