diff --git a/pytests/test_sparsity.py b/pytests/test_sparsity.py
index c87bc690..00c7d944 100644
--- a/pytests/test_sparsity.py
+++ b/pytests/test_sparsity.py
@@ -362,25 +362,27 @@ def test_ISTA_FISTA_multiplerhs(par):
 )
 def test_SPGL1(par):
     """Invert problem with SPGL1"""
-    if int(np_version[0]) < 2:
-        np.random.seed(42)
-        Aop = MatrixMult(np.random.randn(par["ny"], par["nx"]))
-
-        x = np.zeros(par["nx"])
-        x[par["nx"] // 2] = 1
-        x[3] = 1
-        x[par["nx"] - 4] = -1
-
-        x0 = (
-            np.random.normal(0, 10, par["nx"])
-            + par["imag"] * np.random.normal(0, 10, par["nx"])
-            if par["x0"]
-            else None
-        )
-        y = Aop * x
-        xinv = spgl1(Aop, y, x0=x0, iter_lim=5000)[0]
+    if int(np_version[0]) >= 2:
+        return
 
-        assert_array_almost_equal(x, xinv, decimal=1)
+    np.random.seed(42)
+    Aop = MatrixMult(np.random.randn(par["ny"], par["nx"]))
+
+    x = np.zeros(par["nx"])
+    x[par["nx"] // 2] = 1
+    x[3] = 1
+    x[par["nx"] - 4] = -1
+
+    x0 = (
+        np.random.normal(0, 10, par["nx"])
+        + par["imag"] * np.random.normal(0, 10, par["nx"])
+        if par["x0"]
+        else None
+    )
+    y = Aop * x
+    xinv = spgl1(Aop, y, x0=x0, iter_lim=5000)[0]
+
+    assert_array_almost_equal(x, xinv, decimal=1)
 
 
 @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j)])
@@ -416,6 +418,6 @@ def test_SplitBregman(par):
         x0=x0 if par["x0"] else None,
         restart=False,
         show=False,
-        **dict(iter_lim=5, damp=1e-3)
+        **dict(iter_lim=5, damp=1e-3),
     )
     assert (np.linalg.norm(x - xinv) / np.linalg.norm(x)) < 1e-1