diff --git a/tests/test_trace.py b/tests/test_trace.py
index 30ccd20..4eacf62 100644
--- a/tests/test_trace.py
+++ b/tests/test_trace.py
@@ -121,28 +121,25 @@ def test_trace_mf():
   tr_est = hutch(A, fun="identity", maxiter=100, num_threads=1, seed = 5)
   tr_true = A.trace()
   assert np.isclose(tr_est, tr_true, atol=tr_true*0.05)
-  
-  ## TODO 
   tr_est, info = hutch(A, fun=lambda x: x, maxiter=100, seed=5, num_threads=1, info=True)
   assert np.isclose(tr_est, tr_true, atol=tr_true*0.05)
-  for s in range(15000):
-    est, info = hutch(A, fun="identity", deg=2, maxiter=200, num_threads=1, seed=591, info=True)
-    assert not np.isnan(est)
-  for s in range(15000):
-    est, info = hutch(A, fun="identity", deg=20, maxiter=200, num_threads=8, seed=-1, info=True)
-    assert not np.isnan(est)
-
-  from primate.operator import matrix_function
-  M = matrix_function(A, fun="identity", deg=20)
-  for s in range(15000):
-    v0 = np.random.choice([-1, 1], size=M.shape[0])
-    assert not np.isnan(M.quad(v0))
-    M.krylov_basis
-    M.ncv
-    M.deg
-    M._alpha
-    M._beta
-    M.matvec(-v0)
+
+  ## TODO 
+  # tr_est, info = hutch(A, fun=lambda x: x, maxiter=100, seed=5, num_threads=1, info=True)
+  # assert np.isclose(tr_est, tr_true, atol=tr_true*0.05)
+  # for s in range(15000):
+  #   est, info = hutch(A, fun="identity", deg=2, maxiter=200, num_threads=1, seed=591, info=True)
+  #   assert not np.isnan(est)
+  # for s in range(15000):
+  #   est, info = hutch(A, fun="identity", deg=20, maxiter=200, num_threads=8, seed=-1, info=True)
+  #   assert not np.isnan(est)
+
+  # from primate.operator import matrix_function
+  # M = matrix_function(A, fun="identity", deg=20)
+  # for s in range(15000):
+  #   v0 = np.random.choice([-1, 1], size=M.shape[0])
+  #   assert not np.isnan(M.quad(v0))
+
 
   # from primate.diagonalize import lanczos
   # lanczos(A, v0=v0, rtol=M.rtol, deg=M.deg, orth=M.orth)